pax_global_header00006660000000000000000000000064141757416640014531gustar00rootroot0000000000000052 comment=8c5c5e8261ae12fc40c3c293045dea6af7df0e01 snakemake-6.15.1/000077500000000000000000000000001417574166400135625ustar00rootroot00000000000000snakemake-6.15.1/.dockerignore000066400000000000000000000000701417574166400162330ustar00rootroot00000000000000env .env .eggs images misc docs tutorial tests examples snakemake-6.15.1/.gitattributes000066400000000000000000000006741417574166400164640ustar00rootroot00000000000000snakemake/_version.py export-subst snakemake/report/report.html linguist-vendored=true snakemake/gui.html linguist-vendored=true snakemake/report/table.html linguist-vendored=true tests/test_issue1046/expected-results/test_report.html linguist-vendored=true tests/test_report/report.html linguist-vendored=true tests/test_report/expected-results/report.html linguist-vendored=true tests/test_report/custom-stylesheet.css linguist-vendored=true snakemake-6.15.1/.github/000077500000000000000000000000001417574166400151225ustar00rootroot00000000000000snakemake-6.15.1/.github/CODEOWNERS000066400000000000000000000000231417574166400165100ustar00rootroot00000000000000* @johanneskoester snakemake-6.15.1/.github/ISSUE_TEMPLATE/000077500000000000000000000000001417574166400173055ustar00rootroot00000000000000snakemake-6.15.1/.github/ISSUE_TEMPLATE/bug_report.md000066400000000000000000000014351417574166400220020ustar00rootroot00000000000000--- name: Bug report about: Create a report to help us improve title: '' labels: bug assignees: '' --- **Snakemake version** **Describe the bug** **Logs** **Minimal example** **Additional context** snakemake-6.15.1/.github/ISSUE_TEMPLATE/feature_request.md000066400000000000000000000011341417574166400230310ustar00rootroot00000000000000--- name: Feature request about: Suggest an idea for this project title: '' labels: enhancement assignees: '' --- **Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd like** A clear and concise description of what you want to happen. **Describe alternatives you've considered** A clear and concise description of any alternative solutions or features you've considered. **Additional context** Add any other context or screenshots about the feature request here. snakemake-6.15.1/.github/pull_request_template.md000066400000000000000000000006551417574166400220710ustar00rootroot00000000000000### Description ### QC * [ ] The PR contains a test case for the changes or the changes are already covered by an existing test case. * [ ] The documentation (`docs/`) is updated to reflect the changes or this is not necessary (e.g. if the change does neither modify the language nor the behavior or functionalities of Snakemake). snakemake-6.15.1/.github/workflows/000077500000000000000000000000001417574166400171575ustar00rootroot00000000000000snakemake-6.15.1/.github/workflows/conventional-prs.yml000066400000000000000000000005331417574166400232040ustar00rootroot00000000000000name: PR on: pull_request_target: types: - opened - reopened - edited - synchronize jobs: title-format: runs-on: ubuntu-latest steps: - uses: amannn/action-semantic-pull-request@v3.4.0 env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} with: validateSingleCommit: truesnakemake-6.15.1/.github/workflows/docker-publish.yml000066400000000000000000000006051417574166400226160ustar00rootroot00000000000000name: Publish to Docker Hub on: push: branches: - main jobs: update: runs-on: ubuntu-latest steps: - uses: actions/checkout@master - name: Publish to Registry uses: elgohr/Publish-Docker-Github-Action@2.16 with: name: snakemake/snakemake username: ${{ secrets.DOCKER_USERNAME }} password: ${{ secrets.DOCKER_TOKEN }} snakemake-6.15.1/.github/workflows/main.yml000066400000000000000000000143701417574166400206330ustar00rootroot00000000000000name: CI on: push: branches: - main pull_request: branches_ignore: [] jobs: cancel-previous: runs-on: ubuntu-latest if: github.ref != 'refs/heads/main' steps: - uses: khan/pull-request-workflow-cancel@1.0.0 with: workflows: "main.yml" env: GITHUB_TOKEN: '${{ secrets.GITHUB_TOKEN }}' formatting: runs-on: ubuntu-latest steps: - uses: actions/checkout@v1 - name: Setup black environment run: | conda create -c conda-forge -y -q --name black black - name: Check formatting run: | export PATH="/usr/share/miniconda/bin:$PATH" source activate black black --check --diff snakemake tests/tests.py tests/test_tes.py tests/test_io.py tests/common.py tests/test_google_lifesciences.py - name: Comment PR if: github.event_name == 'pull_request' && failure() uses: marocchino/sticky-pull-request-comment@v1.1.0 with: message: 'Please format your code with [black](https://black.readthedocs.io): `black snakemake tests/*.py`.' GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} testing: runs-on: ubuntu-latest needs: formatting env: AWS_AVAILABLE: ${{ secrets.AWS_ACCESS_KEY_ID }} GCP_AVAILABLE: ${{ secrets.GCP_SA_KEY }} steps: - uses: actions/checkout@v2 with: fetch-depth: 0 # we need tags for versioneer to work - name: Setup Snakemake environment run: | export PATH="/usr/share/miniconda/bin:$PATH" conda install -c conda-forge -q mamba mamba env create -q --name snakemake --file test-environment.yml # additionally add singularity mamba install -c conda-forge -n snakemake singularity - name: Setup apt dependencies run: | sudo apt install -y stress git wget - name: Setup iRODS run: | docker build -t irods-server tests/test_remote_irods docker run -d -p 1247:1247 --name provider irods-server -i run_irods sleep 10 docker exec -u irods provider iput /incoming/infile cp -r tests/test_remote_irods/setup-data ~/.irods - name: Setup Gcloud uses: GoogleCloudPlatform/github-actions/setup-gcloud@v0.2.1 if: env.GCP_AVAILABLE with: project_id: ${{ secrets.GCP_PROJECT_ID }} service_account_email: ${{ secrets.GCP_SA_EMAIL }} service_account_key: ${{ secrets.GCP_SA_KEY }} export_default_credentials: true - name: Setup AWS uses: aws-actions/configure-aws-credentials@v1 if: env.AWS_AVAILABLE with: aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} aws-region: us-east-1 - name: Run tests env: CI: true run: | # activate conda env export PATH="/usr/share/miniconda/bin:$PATH" source activate snakemake pytest -v -x tests/test_expand.py tests/test_io.py tests/test_schema.py tests/test_linting.py tests/tests.py - name: Build and publish docker image if: "contains(github.event.pull_request.labels.*.name, 'update-container-image')" uses: elgohr/Publish-Docker-Github-Action@2.16 with: name: snakemake/snakemake username: ${{ secrets.DOCKER_USERNAME }} password: ${{ secrets.DOCKER_TOKEN }} tags: ${{ env.GITHUB_SHA }} - name: Set container image if: "contains(github.event.pull_request.labels.*.name, 'update-container-image')" run: | echo CONTAINER_IMAGE=snakemake/snakemake:$GITHUB_SHA >> $GITHUB_ENV - name: Test Kubernetes execution if: env.GCP_AVAILABLE env: CI: true run: | # activate conda env export PATH="/usr/share/miniconda/bin:$PATH" source activate snakemake pytest -s -v -x tests/test_kubernetes.py - name: Test AWS execution if: env.AWS_AVAILABLE env: CI: true run: | # activate conda env export PATH="/usr/share/miniconda/bin:$PATH" source activate snakemake pytest -v -x tests/test_tibanna.py - name: Test Google Life Sciences Executor if: env.GCP_AVAILABLE run: | # activate conda env export PATH="/usr/share/miniconda/bin:$PATH" source activate snakemake pytest -s -v -x tests/test_google_lifesciences.py - name: Test GA4GH TES executor run: | # activate conda env export PATH="/usr/share/miniconda/bin:$PATH" source activate snakemake pytest -s -v -x tests/test_tes.py - name: Delete container image if: "contains(github.event.pull_request.labels.*.name, 'update-container-image') && always()" run: | docker run --rm lumir/remove-dockerhub-tag \ --user ${{ secrets.DOCKER_USERNAME }} \ --password ${{ secrets.DOCKER_TOKEN }} \ snakemake/snakemake:${{ env.GITHUB_SHA }} - name: Build container image if: "!contains(github.event.pull_request.labels.*.name, 'update-container-image')" run: docker build . testing-windows: runs-on: windows-latest needs: formatting steps: - uses: actions/checkout@v2 with: fetch-depth: 0 - name: Remove unix-only dependencies shell: python run: | import fileinput excluded_on_win = ["environment-modules"] for line in fileinput.input("test-environment.yml", inplace=True): if all(pkg not in line for pkg in excluded_on_win): print(line) - name: Setup miniconda uses: conda-incubator/setup-miniconda@v2 with: activate-environment: snakemake python-version: 3.9 channels: conda-forge, bioconda - name: Setup Snakemake environment run: | conda install -q --name base mamba mamba env update -q --file test-environment.yml - name: Run tests env: CI: true run: | python -m pytest -v -x tests/tests.py snakemake-6.15.1/.github/workflows/release-please.yml000066400000000000000000000026121417574166400225720ustar00rootroot00000000000000on: push: branches: - main name: release-please jobs: release-please: runs-on: ubuntu-latest steps: - uses: GoogleCloudPlatform/release-please-action@v2 id: release with: release-type: python package-name: snakemake - uses: actions/checkout@v2 if: ${{ steps.release.outputs.release_created }} with: fetch-depth: 0 - name: Set up Python if: ${{ steps.release.outputs.release_created }} uses: actions/setup-python@v2 with: python-version: '3.x' - name: Build package if: ${{ steps.release.outputs.release_created }} run: | python -m pip install --upgrade pip python setup.py sdist - name: Publish to PyPI if: ${{ steps.release.outputs.release_created }} uses: pypa/gh-action-pypi-publish@master with: user: __token__ password: ${{ secrets.PYPI_TOKEN }} - name: Publish to Registry if: ${{ steps.release.outputs.release_created }} uses: elgohr/Publish-Docker-Github-Action@3.01 with: name: snakemake/snakemake username: ${{ secrets.DOCKER_USERNAME }} password: ${{ secrets.DOCKER_TOKEN }} tags: "v${{ steps.release.outputs.major }}.${{ steps.release.outputs.minor }}.${{ steps.release.outputs.patch }},stable"snakemake-6.15.1/.gitignore000066400000000000000000000003131417574166400155470ustar00rootroot00000000000000*~ *.pyc *.swp docs/_build build/ dist/ *.egg-info/ *.egg .eggs/ .snakemake* .venv .venv/* .idea .pytest* .cache .mypy_cache .ipynb* .vscode .ropeproject .test* tests/test*/* playground/* tutorial/* snakemake-6.15.1/.gitpod.yml000066400000000000000000000000411417574166400156440ustar00rootroot00000000000000image: snakemake/snakemake:latestsnakemake-6.15.1/.readthedocs.yml000066400000000000000000000001771417574166400166550ustar00rootroot00000000000000version: 2 sphinx: configuration: docs/conf.py python: version: 3.6 install: - requirements: docs/requirements.txt snakemake-6.15.1/.sonarcloud.properties000066400000000000000000000000301417574166400201200ustar00rootroot00000000000000sonar.sources=snakemake snakemake-6.15.1/AUTHORS.rst000066400000000000000000000000001417574166400154270ustar00rootroot00000000000000snakemake-6.15.1/CHANGELOG.md000066400000000000000000002141261417574166400154010ustar00rootroot00000000000000# Changelog ### [6.15.1](https://www.github.com/snakemake/snakemake/compare/v6.15.0...v6.15.1) (2022-01-31) ### Bug Fixes * consider post-deploy script for env hashing ([#1363](https://www.github.com/snakemake/snakemake/issues/1363)) ([d50efd9](https://www.github.com/snakemake/snakemake/commit/d50efd9d16d029fb0e5b14b182882c71a20552bb)) ## [6.15.0](https://www.github.com/snakemake/snakemake/compare/v6.14.0...v6.15.0) (2022-01-29) ### Features * adding default_target directive for declaring default target rules that are not the first rule in the workflow. ([#1358](https://www.github.com/snakemake/snakemake/issues/1358)) ([638ec1a](https://www.github.com/snakemake/snakemake/commit/638ec1a983741cd7ba8faaf1a9dc76ae43d012e5)) ### Bug Fixes * Draft notebook filename with wildcards and params. ([#1352](https://www.github.com/snakemake/snakemake/issues/1352)) ([11d4dc8](https://www.github.com/snakemake/snakemake/commit/11d4dc88598ffb901450bd4e076b91f4e27d37b0)) * proper error message when defining cache eligibility for rules with multiple output files and no multiext declaration. ([#1357](https://www.github.com/snakemake/snakemake/issues/1357)) ([47b5096](https://www.github.com/snakemake/snakemake/commit/47b5096ebbdd3d94a9c99b443064b1b0de389c64)) ### Documentation * Command line arguments for configuration files ([#1343](https://www.github.com/snakemake/snakemake/issues/1343)) ([ad8aaa4](https://www.github.com/snakemake/snakemake/commit/ad8aaa4853a150211513baecc474956575d326eb)) * fix broken link in executor_tutorial/tutorial.rst ([#1360](https://www.github.com/snakemake/snakemake/issues/1360)) ([c9be764](https://www.github.com/snakemake/snakemake/commit/c9be76482d05577c4b1528b0e52ba15fc17a1dd5)) ## [6.14.0](https://www.github.com/snakemake/snakemake/compare/v6.13.1...v6.14.0) (2022-01-26) ### Features * Added timestamp to each log message ([#1304](https://www.github.com/snakemake/snakemake/issues/1304)) ([a5769f0](https://www.github.com/snakemake/snakemake/commit/a5769f0baeaa829b7813dee8c78902edbb42cf4b)) * implement support for removing GFAL remote files ([#1103](https://www.github.com/snakemake/snakemake/issues/1103)) ([25943e5](https://www.github.com/snakemake/snakemake/commit/25943e5630ff6d83afa5cba28edf473ce2ca87da)) * specify conda environments via their name ([#1340](https://www.github.com/snakemake/snakemake/issues/1340)) ([735ab23](https://www.github.com/snakemake/snakemake/commit/735ab2301d0905ea054ad6efa3150acb296d0e78)) * support for post deploy scripts ([#1325](https://www.github.com/snakemake/snakemake/issues/1325)) ([e5dac4f](https://www.github.com/snakemake/snakemake/commit/e5dac4ff297b7aeeb1e1a0bbdd03cb967cee3011)) ### Documentation * link to list of dependencies from installation ([#1336](https://www.github.com/snakemake/snakemake/issues/1336)) ([99d7bfe](https://www.github.com/snakemake/snakemake/commit/99d7bfef1285f131d0e60331511bc4833e7e414a)) * update URL to emacs snakemake-mode ([#1339](https://www.github.com/snakemake/snakemake/issues/1339)) ([dae7b8f](https://www.github.com/snakemake/snakemake/commit/dae7b8fb0e580a1878d36881cfb5ffc8adeaeb9f)) ### [6.13.1](https://www.github.com/snakemake/snakemake/compare/v6.13.0...v6.13.1) (2022-01-11) ### Bug Fixes * --conda-frontend value not passed on to cluster jobs ([#1317](https://www.github.com/snakemake/snakemake/issues/1317)) ([df46ddb](https://www.github.com/snakemake/snakemake/commit/df46ddb37022b291a4feca22fd0fbcf8773e7d03)) * atomic job error display ([#1326](https://www.github.com/snakemake/snakemake/issues/1326)) ([aa2c265](https://www.github.com/snakemake/snakemake/commit/aa2c2652608d3e95ad7fb568df09ef1ae09e1def)) * fix source cache handling for remote source files retrieved via github() or gitlab() tags. ([#1322](https://www.github.com/snakemake/snakemake/issues/1322)) ([6e2ecd2](https://www.github.com/snakemake/snakemake/commit/6e2ecd26e48eb64fa04c9c38dde591857e03c722)) * typos in code examples ([#1324](https://www.github.com/snakemake/snakemake/issues/1324)) ([60010e4](https://www.github.com/snakemake/snakemake/commit/60010e4ef07b7ba9b89aa5f48ee90ff3cec85b75)) ## [6.13.0](https://www.github.com/snakemake/snakemake/compare/v6.12.3...v6.13.0) (2021-12-21) ### Features * allow prefix definition in module statements ([#1310](https://www.github.com/snakemake/snakemake/issues/1310)) ([29e6540](https://www.github.com/snakemake/snakemake/commit/29e6540aac95b08b5e386a8478bd2013334e5954)) ### [6.12.3](https://www.github.com/snakemake/snakemake/compare/v6.12.2...v6.12.3) (2021-12-09) ### Bug Fixes * fixed display of any exceptions and errors from within a workflow definition ([23d40d9](https://www.github.com/snakemake/snakemake/commit/23d40d99614a88fd3c596d05e6915509ae43d4ce)) ### [6.12.2](https://www.github.com/snakemake/snakemake/compare/v6.12.1...v6.12.2) (2021-12-07) ### Bug Fixes * rule inheritance within modules (did previously lead to key errors) ([#1292](https://www.github.com/snakemake/snakemake/issues/1292)) ([603e0a8](https://www.github.com/snakemake/snakemake/commit/603e0a87d2c7af57a8f1d397605bc501c50934e0)) ### Documentation * Fix typo in rules.rst (—draft-notebook) ([#1290](https://www.github.com/snakemake/snakemake/issues/1290)) ([f5c42cf](https://www.github.com/snakemake/snakemake/commit/f5c42cfdc68f1516cec71b8ead8d78225ae915e5)) ### [6.12.1](https://www.github.com/snakemake/snakemake/compare/v6.12.0...v6.12.1) (2021-11-29) ### Bug Fixes * set default number of nodes to 1 in test cases ([#1288](https://www.github.com/snakemake/snakemake/issues/1288)) ([f6e12b4](https://www.github.com/snakemake/snakemake/commit/f6e12b4798485be3a1bb240b4af44d57dd5c84b2)) ## [6.12.0](https://www.github.com/snakemake/snakemake/compare/v6.11.1...v6.12.0) (2021-11-29) ### Features * add flag --draft-notebook for generating a skeleton notebook for manual editing (e.g. in VSCode). ([#1284](https://www.github.com/snakemake/snakemake/issues/1284)) ([d279322](https://www.github.com/snakemake/snakemake/commit/d2793223f914790c07b25363cb9b314ef166cb3e)) ### Bug Fixes * issue [#1257](https://www.github.com/snakemake/snakemake/issues/1257) (missing logfile failure when using shadow directory) ([#1258](https://www.github.com/snakemake/snakemake/issues/1258)) ([426d92f](https://www.github.com/snakemake/snakemake/commit/426d92fd9610b61b414b7f0152d777c463c939a2)) * keep empty output and input dirs of --draft-notebook job ([f1181bd](https://www.github.com/snakemake/snakemake/commit/f1181bd41ea8b20fafd3975c2733ca1d439381dc)) * SameFileError [#1153](https://www.github.com/snakemake/snakemake/issues/1153) ([#1220](https://www.github.com/snakemake/snakemake/issues/1220)) ([ede313d](https://www.github.com/snakemake/snakemake/commit/ede313dcd31ea5f136b3b8f743e2265331475342)) * snakemake API using only 1 job as default ([#1283](https://www.github.com/snakemake/snakemake/issues/1283)) ([e92ad48](https://www.github.com/snakemake/snakemake/commit/e92ad4867feb456ce8ef3dc57fd8528affa64ae9)) ### Documentation * short tutorial updates ([#1286](https://www.github.com/snakemake/snakemake/issues/1286)) ([b653a44](https://www.github.com/snakemake/snakemake/commit/b653a44d105e4b3799425a695d75a08239dc0d6b)) ### [6.11.1](https://www.github.com/snakemake/snakemake/compare/v6.11.0...v6.11.1) (2021-11-26) ### Bug Fixes * provide temporary IPYTHONDIR for notebook execution in order to avoid race conditions in https://github.com/ipython/ipython/blob/master/IPython/paths.py#L20 upon execution of multiple notebooks at the same time. ([#1280](https://www.github.com/snakemake/snakemake/issues/1280)) ([4d70da1](https://www.github.com/snakemake/snakemake/commit/4d70da11f810224ddce192ae1472a6380898865f)) ### Documentation * move psutil import into benchmark methods to avoid needing it as a dependency for doc building ([6ffe38d](https://www.github.com/snakemake/snakemake/commit/6ffe38d1740294a7170765ab875b363f4ae82cd4)) * require sphinx>=3 ([1773875](https://www.github.com/snakemake/snakemake/commit/1773875fc8f2fddb09362410afb7c49c4406bfa3)) * skip lazy property ([2883718](https://www.github.com/snakemake/snakemake/commit/28837183fa55a6764621580983b3d724f3881a6a)) ## [6.11.0](https://www.github.com/snakemake/snakemake/compare/v6.10.0...v6.11.0) (2021-11-25) ### Features * fail with an error if snakemake cannot write job metadata. ([#1273](https://www.github.com/snakemake/snakemake/issues/1273)) ([cd968cd](https://www.github.com/snakemake/snakemake/commit/cd968cd03437ad6db1d791f5d7ae5295b9754137)) ### Bug Fixes * Adds fixes for the first two MREs in [#823](https://www.github.com/snakemake/snakemake/issues/823) ([#1215](https://www.github.com/snakemake/snakemake/issues/1215)) ([cfd2f89](https://www.github.com/snakemake/snakemake/commit/cfd2f890a0af57628f7b9278d8d43f59b7006825)) * env file usage after changes to source file handling (inspired by [#1233](https://www.github.com/snakemake/snakemake/issues/1233) and [#1211](https://www.github.com/snakemake/snakemake/issues/1211)). ([#1236](https://www.github.com/snakemake/snakemake/issues/1236)) ([3ac8e85](https://www.github.com/snakemake/snakemake/commit/3ac8e858a7b908326922c8f68cae512b1250e906)) * fixed code change detection when using modules ([#1264](https://www.github.com/snakemake/snakemake/issues/1264)) ([b571e09](https://www.github.com/snakemake/snakemake/commit/b571e09ce452f6a1a95395e1c3c8b9e3f83867ad)) * handle config file extension/overwriting more explicitly ([#1251](https://www.github.com/snakemake/snakemake/issues/1251)) ([d0a7bf2](https://www.github.com/snakemake/snakemake/commit/d0a7bf243c5df204136fa1f14706aab793793c68)) * Issue [#1253](https://www.github.com/snakemake/snakemake/issues/1253) (problems editing Jupyter Notebooks) ([#1255](https://www.github.com/snakemake/snakemake/issues/1255)) ([3398ddf](https://www.github.com/snakemake/snakemake/commit/3398ddffd1f68182af768ef4ea519e9a9ad4efaf)) * more informative nothing to be done message ([#1234](https://www.github.com/snakemake/snakemake/issues/1234)) ([368d265](https://www.github.com/snakemake/snakemake/commit/368d265ff3da984bd3a53b319dcb882d6916975b)) * only consider context of shell command for technical switches if called from snakemake rules. ([#1213](https://www.github.com/snakemake/snakemake/issues/1213)) ([4816a58](https://www.github.com/snakemake/snakemake/commit/4816a58653e466ca94b1482a1d947a856f5381b3)) * R encoding of pathlib.Path objects ([#1201](https://www.github.com/snakemake/snakemake/issues/1201)) ([bd516e9](https://www.github.com/snakemake/snakemake/commit/bd516e958af22e57c18cacf0cb22552c2a237bd8)) * Use 'snakemake.utils.update_config' instead of 'dict.update' ([#1126](https://www.github.com/snakemake/snakemake/issues/1126)) ([2658027](https://www.github.com/snakemake/snakemake/commit/2658027458dde4c10b3d6e1af7671564d175f9cb)) ## [6.10.0](https://www.github.com/snakemake/snakemake/compare/v6.9.1...v6.10.0) (2021-10-21) ### Features * Add more informative errors when evaluation of `--default-resources` fails ([#1192](https://www.github.com/snakemake/snakemake/issues/1192)) ([b3c4e68](https://www.github.com/snakemake/snakemake/commit/b3c4e687c87c75075393cef842b129dcec70e7f6)) ### Bug Fixes * add quotes to each item of the wait_for_files list ([#1160](https://www.github.com/snakemake/snakemake/issues/1160)) ([72856ed](https://www.github.com/snakemake/snakemake/commit/72856edd12fbe29d723731c6f596f05cd2b59c0e)) * caching process ([#1225](https://www.github.com/snakemake/snakemake/issues/1225)) ([0825a29](https://www.github.com/snakemake/snakemake/commit/0825a29e46c08b200efe6bd0c66acf1e6828eed8)) * enable usage of job grouping in GLS ([#1054](https://www.github.com/snakemake/snakemake/issues/1054)) ([d243c22](https://www.github.com/snakemake/snakemake/commit/d243c22ff494b63bd5e07b7c5bf1f6ff32539cde)) * Only --bind Snakemake when we're working with a Python script ([#1206](https://www.github.com/snakemake/snakemake/issues/1206)) ([1d79f62](https://www.github.com/snakemake/snakemake/commit/1d79f625b7262d66def71c779f2a2c091bc418d8)) * run dependencies with non-existent ancient files before the consuming job ([#1202](https://www.github.com/snakemake/snakemake/issues/1202)) ([84d1f64](https://www.github.com/snakemake/snakemake/commit/84d1f6451b12352eba5a8bfefcfcce8b2d98c5aa)), closes [#946](https://www.github.com/snakemake/snakemake/issues/946) * status cmd repeats until killed by 11 *different* signals ([#1207](https://www.github.com/snakemake/snakemake/issues/1207)) ([8b28b57](https://www.github.com/snakemake/snakemake/commit/8b28b5740c34149c9b5df56dbbfa034219eb1574)) * typo in sourcecache use ([#1229](https://www.github.com/snakemake/snakemake/issues/1229)) ([8b54bc5](https://www.github.com/snakemake/snakemake/commit/8b54bc5db9d8e5c0bcb8f2c2ff141dc075e3e659)) * wms monitor arg parsing now accepts any kind of value ([#1181](https://www.github.com/snakemake/snakemake/issues/1181)) ([313de93](https://www.github.com/snakemake/snakemake/commit/313de932e2e2a4f2c530df18c1abb15d37eb3217)) ### Documentation * Clarification of --cluster-stats docs & elaborating on the situation where job ids are not passed to the status script ([#1221](https://www.github.com/snakemake/snakemake/issues/1221)) ([ed0e4a2](https://www.github.com/snakemake/snakemake/commit/ed0e4a27a2167a69a4fe1bcdf237dd27bb3732ca)) * Combine CHANGELOG.rst with CHANGELOG.md ([#1228](https://www.github.com/snakemake/snakemake/issues/1228)) ([19f5a43](https://www.github.com/snakemake/snakemake/commit/19f5a43261bd6ba548d6f01080640f0d4119871e)) * Mention required openssl dep for rust-script ([#1216](https://www.github.com/snakemake/snakemake/issues/1216)) ([fc8c5f6](https://www.github.com/snakemake/snakemake/commit/fc8c5f62c397a0239ef213ab45a26a1def50f9eb)) * Unpin docutils version ([#1230](https://www.github.com/snakemake/snakemake/issues/1230)) ([15a82bf](https://www.github.com/snakemake/snakemake/commit/15a82bfe402b3577bf19e6d2eca3b2fb86109628)) ### [6.9.1](https://www.github.com/snakemake/snakemake/compare/v6.9.0...v6.9.1) (2021-09-30) ### Bug Fixes * fix function call when creating report and hashes for between workflow caching ([#1198](https://www.github.com/snakemake/snakemake/issues/1198)) ([a4f6836](https://www.github.com/snakemake/snakemake/commit/a4f68365125c357f30510d0e61036f98b9d3aa69)) ## [6.9.0](https://www.github.com/snakemake/snakemake/compare/v6.8.2...v6.9.0) (2021-09-29) ### Features * autoconvert Path objects to str when passing to R or Julia scripts ([80ec513](https://www.github.com/snakemake/snakemake/commit/80ec51322f8134180c52c20b0a9dc6980df6c1bc)) ### Bug Fixes * fix source retrieval during between workflow caching and report generation ([2394ca4](https://www.github.com/snakemake/snakemake/commit/2394ca4a23a6b2792397bc9efc09945f01d1963b)) ### [6.8.2](https://www.github.com/snakemake/snakemake/compare/v6.8.1...v6.8.2) (2021-09-29) ### Bug Fixes * fix path returned by get_source() ([ee05315](https://www.github.com/snakemake/snakemake/commit/ee053153d2f44156171c127307cb110791b7624a)) ### [6.8.1](https://www.github.com/snakemake/snakemake/compare/v6.8.0...v6.8.1) (2021-09-24) ### Bug Fixes * async_run to allow nested event loops. ([#1170](https://www.github.com/snakemake/snakemake/issues/1170)) ([5dc6bbd](https://www.github.com/snakemake/snakemake/commit/5dc6bbd440ac46e81a926b6749969b98b7e33a9f)) * merging of pipe groups when multiple rules are chained together via pipes ([#1173](https://www.github.com/snakemake/snakemake/issues/1173)) ([de91d2c](https://www.github.com/snakemake/snakemake/commit/de91d2ccf53bd844b4dbf4f64dd087f4ee935be5)) * potential memory corruption caused by Google storage objects accessed from different threads ([#1174](https://www.github.com/snakemake/snakemake/issues/1174)) ([41a5071](https://www.github.com/snakemake/snakemake/commit/41a5071b750dca5d7fceec324d81d9a93c86bdb6)) ### Performance Improvements * more extensive caching of source files, including wrappers. ([#1182](https://www.github.com/snakemake/snakemake/issues/1182)) ([bdb75f8](https://www.github.com/snakemake/snakemake/commit/bdb75f828a3ae27ba97ea6cd5e71a34ac7b27eea)) ### Documentation * move note ([75a544b](https://www.github.com/snakemake/snakemake/commit/75a544ba528b30b43b861abc0ad464db4d6ae16f)) * polish ([47a7b62](https://www.github.com/snakemake/snakemake/commit/47a7b628686258a28dd870f20bf1f121b3a881c3)) * tutorial formatting ([594f5fb](https://www.github.com/snakemake/snakemake/commit/594f5fbb342e0722318641dea07d7da4c5eb8116)) ## [6.8.0](https://www.github.com/snakemake/snakemake/compare/v6.7.0...v6.8.0) (2021-09-06) ### Features * Add `shadow: "copy-minimal"` directive ([#1155](https://www.github.com/snakemake/snakemake/issues/1155)) ([1803f0b](https://www.github.com/snakemake/snakemake/commit/1803f0b4090d812df0c164653b26502fd130d326)) * support XRootD as a default remote provider ([#1017](https://www.github.com/snakemake/snakemake/issues/1017)) ([fe03157](https://www.github.com/snakemake/snakemake/commit/fe03157c31210984fce53c35d5fb87b20d278fe7)) ### Bug Fixes * AmbiguousRuleException bug caused by weak ordering of rules ([#1124](https://www.github.com/snakemake/snakemake/issues/1124)) ([7f54c39](https://www.github.com/snakemake/snakemake/commit/7f54c391f2821655ed168bcdafad6d07b96fcec7)) * Bugfix tes add files ([#1133](https://www.github.com/snakemake/snakemake/issues/1133)) ([8892bf2](https://www.github.com/snakemake/snakemake/commit/8892bf25d9d981a4032d5a1b525960ba3bdd1aec)) * Disable Persistence cache for snakemake jobs ([#1159](https://www.github.com/snakemake/snakemake/issues/1159)) ([7110f9d](https://www.github.com/snakemake/snakemake/commit/7110f9d2e7ee3f350bd1da3c5b4aab98c06725a1)) * efficient job status checking when using DRMAA API (this should yield much better parallelization and performance when using --drmaa) ([#1156](https://www.github.com/snakemake/snakemake/issues/1156)) ([ac004cb](https://www.github.com/snakemake/snakemake/commit/ac004cb19cebd4efb5e38f6039861a2810c702ff)) * improved error handling for cluster status scripts and smarter job selector choice in case of cluster submission (use greedy for single jobs). ([#1142](https://www.github.com/snakemake/snakemake/issues/1142)) ([48d2dd9](https://www.github.com/snakemake/snakemake/commit/48d2dd99a745fd54b74b1435cbb7e41e0ee1b4ac)) * Initialize assignments dictionary when setting rule-based resources ([#1154](https://www.github.com/snakemake/snakemake/issues/1154)) ([68c13fd](https://www.github.com/snakemake/snakemake/commit/68c13fd6fb2ad458e79bafe146499b601bf4bd0e)) * key error when handling FileNotFoundError in input functions. ([#1138](https://www.github.com/snakemake/snakemake/issues/1138)) ([d25f04d](https://www.github.com/snakemake/snakemake/commit/d25f04db820c9651835b7323baef5931d4f8dc0a)) * linting of remote snakefiles ([#1131](https://www.github.com/snakemake/snakemake/issues/1131)) ([2104e10](https://www.github.com/snakemake/snakemake/commit/2104e10d1d2c5e0f368e9c0fe95cc50f9d4847f1)) ### Performance Improvements * improve job selection performance in case of potential ambiguity that is resolved by comprehensive ruleorder statements. ([#1147](https://www.github.com/snakemake/snakemake/issues/1147)) ([921f4f7](https://www.github.com/snakemake/snakemake/commit/921f4f715e3814fc2e22a4f6527ff62e066cc5da)) ## [6.7.0](https://www.github.com/snakemake/snakemake/compare/v6.6.1...v6.7.0) (2021-08-12) ### Features * Add support for rust scripts (enabling directly integrated ad-hoc robust high performance scripting) ([#1053](https://www.github.com/snakemake/snakemake/issues/1053)) ([f0e8fa2](https://www.github.com/snakemake/snakemake/commit/f0e8fa285437a02ca7edcf87334bf00cb347064a)) ### Bug Fixes * Ga4gh tes bugfixes ([#1127](https://www.github.com/snakemake/snakemake/issues/1127)) ([af21d6c](https://www.github.com/snakemake/snakemake/commit/af21d6c2b125c22ef3dbc36a0a6a67a1874549c7)) * improved display of percentage of done jobs ([1fee8c0](https://www.github.com/snakemake/snakemake/commit/1fee8c06d6ed229d7e3757de3c693e755d01d1bb)) * improved error message in case of target rule misspecification ([83b1f5b](https://www.github.com/snakemake/snakemake/commit/83b1f5bbde437e13641be2160f4855f54043c046)) ### Documentation * fix contributing executors link ([#1112](https://www.github.com/snakemake/snakemake/issues/1112)) ([4bb58d1](https://www.github.com/snakemake/snakemake/commit/4bb58d12a44f77f79d47c5443f927cb6061677f5)) * Fix typo in file path in remote files documentation ([#1110](https://www.github.com/snakemake/snakemake/issues/1110)) ([9ce294f](https://www.github.com/snakemake/snakemake/commit/9ce294f6d5bdf72055a824ab610488a7f832a4d3)) ### [6.6.1](https://www.github.com/snakemake/snakemake/compare/v6.6.0...v6.6.1) (2021-07-19) ### Bug Fixes * avoid superfluous calls of conda info that have slowed down Snakemake since 6.4.1. ([#1099](https://www.github.com/snakemake/snakemake/issues/1099)) ([e990927](https://www.github.com/snakemake/snakemake/commit/e9909273c22a316dbd7301a243498e3c2a372642)) ## [6.6.0](https://www.github.com/snakemake/snakemake/compare/v6.5.5...v6.6.0) (2021-07-16) ### Features * Allow to mark all output files as temp with --all-temp ([#1097](https://www.github.com/snakemake/snakemake/issues/1097)) ([0ac3b38](https://www.github.com/snakemake/snakemake/commit/0ac3b3806c065d0ec3a551a5992faf30ddcf0576)) ### [6.5.5](https://www.github.com/snakemake/snakemake/compare/v6.5.4...v6.5.5) (2021-07-16) ### Bug Fixes * dummy release ([e4dca50](https://www.github.com/snakemake/snakemake/commit/e4dca508f6cbd3427d8580ef61f274f909ec8bab)) ### [6.5.4](https://www.github.com/snakemake/snakemake/compare/v6.5.3...v6.5.4) (2021-07-16) ### Fixes * Fixed --touch in combination with temp files (issue #1028) (@johanneskoester, @iromeo). ### Documentation * Fix syntax error in docs/conf.py and update sphinx.ext.napoleon import ([#1084](https://www.github.com/snakemake/snakemake/issues/1084)) ([3e3fac2](https://www.github.com/snakemake/snakemake/commit/3e3fac2dbd5a8abad67e252f6181ad14bcfcb711)) * Improved pepfile (pepschema) documentation (@stolarczyk). ### \[6.5.3\] - 2021-07-06 - Fixed a bug occuring when using --resources in the command line interface (@johanneskoester). - Minor improvements in the docs (@johanneskoester). ### \[6.5.2\] - 2021-07-02 - Create directory pointed to by tmpdir resource if it does not yet exist (@johanneskoester). - Use a single core again in dryrun if --cores is not specified (@johanneskoester). - Bugfix for FTP remote provider (@jmeppley). - Improved documentation (@corneliusroemer). ### \[6.5.1\] - 2021-06-24 - Extended best practices document (@johanneskoester) - Restore `-j all` behavior for local execution as a (deprecated) way of running Snakemake on all cores. Recommended now: `--cores all` (@johanneskoester). - Improved handling and better error messages for checkpoints (@johanneskoester). ## \[6.5.0\] - 2021-06-22 - Allow to set the default profile via the environment variable $SNAKEMAKE_PROFILE. - There is a new default resource tmpdir (by default reflects the system setting), which is automatically used for temporary files by shell commands and scripts which properly consider the usual environment variables like $TMP, $TEMP, $TMPDIR (@johanneskoester). - The CLI flags --jobs and --cores are now separated, with --cores being responsible for local cores and global cores in the cluster case, and --jobs being responsible for number of jobs. Still -j and --jobs works as a fallback for local execution (@johanneskoester). - Added the ability to overwrite resources via --set-resources (@johanneskoester). - Various fixes for Windows execution (@melund). - Fixed a bug with fractional resources (@johanneskoester). - Fixed timeouts and other issues in google life science backend (@johanneskoester). - Fixed a bug with missing conda frontend definitions in subworkflows (@johanneskoester). - Skip envvar checking during linting (@johanneskoester). - Fixed a bug causing container images in modules to be ignored (@johanneskoester). ### \[6.4.1\] - 2021-05-27 - Fixed bug in `workflow.source_path()` that occurred with modules included from remote locations (@johanneskoester). - Inform cluster jobs about conda/mamba/activate path such that they don't need to determine this themselves (@johanneskoester). ## \[6.4.0\] - 2021-05-20 - Improvements in the docs (resource usage, best practices, remote files) (@johanneskoester, @admorris). - functions given to params can now safely open input files generated by previous rules. If they are not present, TBD will be displayed and function will be reevaluated immediately before the job is executed (i.e. when files are present) (@ASLeonard). - Connection pool for SFTP and FTP remote files, increasing download performance (@jmeppley). - Require correct minimum version of smart_open (@Redmar-van-den-Berg). - Added workflow.source_path(path), allowing to get the correct path relative to the current Snakefile, even when Snakefile is included via URL (@johanneskoester). - Fixed bugs in module system (@johanneskoester, @dlaehnemann). - Fixed issue with checkpoints and ruleorder where phantom dependencies are not properly removed from the DAG (@jmeppley, @johanneskoester). - Disable tibanna behavior that opens a browser window for each job (@nigiord). - Allow `Paramspace(..., filename_params="*")`, meaning that all columns of the paramspace will be encoded into the filename (@kpj). - Avoid PATH modification in cluster jobs (@johanneskoester). - For large sets of input files, pass files to wait for (FS latency) as a file instead of command line args (@kpj, @epruesse). ## \[6.3.0\] - 2021-04-29 - Changed behavior of `workflow.snakefile` to always point to the current file instead of the main Snakefile (also in case of includes and modules) (@johanneskoester). - Fixed a typo in an error message (@nikostr). ## \[6.2.0\] - 2021-04-22 - Support for integration of foreign workflow management systems by introducing a `handover` directive that passes on all resources to a particular rule (which can then invoke another workflow management system). See the docs ("Integrating foreign workflow management systems") (@johanneskoester). - Behavior improvement for temp handling of checkpoint rules (@epruesse). - Several improvements in the docs (@johanneskoester). ### \[6.2.1\] - 2021-04-20 - Fixed a minor bug in the linter. ## \[6.2.0\] - 2021-04-20 - Fixed several glitches in paramspace implementation (handling of bools, returning scalar values) (@kpj). - Fixed bugs in module implementation (@dlaehnemann, @johanneskoester). - Fall back to greedy scheduling solver if ILP solver needs more than 10 sec (@johanneskoester). ### \[6.1.1\] - 2021-04-07 - Fixed several small bugs of the new module system (@johanneskoester, @dlaehnemann). - Fixed archive based conda deployment (@johanneskoester). - Better handling of download and target attributed in the interactive report (@johanneskoester). ## \[6.1.0\] - 2021-04-01 - Snakemake now uses **mamba** as the default conda frontend (which can be overwritten by specifying to use conda via the --conda-frontend flag) (@johanneskoester). - Profiles using --cluster option can now handle relative submit script paths in combination with arguments (@kdm9). - New AutoRemoteProvider, which infers the type of remote file protocol from the given URL (@kpj). - When using global container directive, container usage can be deactivated on a per rule base (@bilke). - Bugfixes for checkpoint handling (@johanneskoester). - Bugfixes for the module system (@johanneskoester, @dlaehnemann). - Various improvements for the tutorial. ### \[6.0.5\] - 2021-03-11 - Fix bug (introduced with 6.0) when handling of HTML directories in report (@johanneskoester). ### \[6.0.4\] - 2021-03-11 - Various textual improvements in the tutorial (@dlaehnemann). ### \[6.0.3\] - 2021-03-08 - No longer use a shortened hash for naming conda environments in .snakemake/conda (@johanneskoester). - Various little updates to the docs (@johanneskoester). ### \[6.0.2\] - 2021-03-03 - Fix race condition in conda checking code (@johanneskoester). ### \[6.0.1\] - 2021-03-03 - Restored Python 3.5 compatibility by removing f-strings (@mbhall88) - Fix rendering issue in the docs. - Add gitpod dev environment and gitpod environment for the tutorial. ## \[6.0.0\] - 2021-02-26 - Introduced a new module system, see (@johanneskoester). - Introduced a rule inheritance mechanism, see (@johanneskoester). - Automatically containerize a conda-based pipeline with `--containerize`, see (@johanneskoester). - Use temporary files for long shell commands (@epruesse). - Various fixes in the documentation (@ctb, @SilasK, @EthanHolleman). - Fixed a bug in job grouping that led to non-deterministic behavior (@johanneskoester). ### \[5.32.2\] - 2021-02-11 ### Changed - Fixed infinite loading of results in Snakemake reports (@FelixMoelder) ### \[5.32.1\] - 2021-02-08 ### Changed - Improved warning on wildcard constraints (@jheuel) - Improved logging from the new scheduler implementation (@johanneskoester) - Restored Python 3.5 compatibility by removing f-strings (@mbhall88) - Snakemake now automatically adds a global wildcard constraint for {scatteritem}, when scatter/gather support is used. - The zip variant of Snakemake reports is now compressed (@FelixMoelder). - Improved docs (@ctb). - Make output file removal in cluster mode more robust (@sebschmi). ## \[5.32.0\] - 2021-01-15 #### Changed - Handle accidental use of GLS backend with singularity (@vsoch). - Improved and extended WMS-monitor implementation (@vsoch). - Display index and total count in `{scatteritem}` when using the scatter-gather helper (@johanneskoester). - Fixed problems with jobid display when handling checkpoint updates (@johanneskoester, @jmeppley). - Fixed bug when checking for directory containment of output files (@jmeppley). - Implement --no-subworkflows treatment in combination with --cluster (@goi42). ### \[5.31.1\] - 2020-12-21 #### Changed - added wget again to the container image ## \[5.31.0\] - 2020-12-21 #### Added - The `Paramspace` helper for automatically exploring parameter spaces given as Pandas dataframes. - A new directive `name:` for setting rule names from variables. #### Changed - Various small bug fixes for scheduling and checkpoint handling. - Automatically block R_LIBS, PYTHONPATH, PERL5LIB, and PERLLIB when using conda with --use-conda. This behavior can be deactivated with --conda-not-block-envvars. - Update container image to latest singularity. ### \[5.30.2\] - 2020-12-16 #### Changed - Fix permission issues with jobscripts on some systems (@Phhere). - Added notes on WSL to the tutorial (@RomainFeron). - Scheduler fixes (@johanneskoester). - Fixed a bug in checkpoint handling that led to hanging workflow execution (@jmeppley). - Pass cluster nodes to subworkflows (@votti). - Fix start time recording in metadata (@lparsons). - Fix time retrieval in reports (@johanneskoester). - Fix error when returning a Path from an input function (@sappjw). - Extending monitoring docs with some notes about future api changes (@vsoch). ## \[5.30.0\] - 2020-11-23 #### Added - Benchmarks now also report CPU time (@natir). #### Changed - Fixed a reauthentication bug in Kubernetes support (@haizi-zh). ## \[5.29.0\] - 2020-11-19 #### Changed - Fixed several bugs in reports and scheduler. - Remove automatic (but buggy) encoding of csv/tsv files into HTML tables in the report (we will soon have a better alternative). - Fixed bug in kubernetes executor occurring with large source files. ## \[5.28.0\] - 2020-11-12 #### Added - Execution backend for GA4GH TES (task execution scheduler) an abstraction layer for various cluster and cloud queuing systems (@svedziok, @uniqueg). - script, notebook, wrapper and cwl directives now permit to use wildcards and params for composing paths (@johanneskoester). #### Changed - Restored compatibility with Python 3.5 and 3.6 (@cclienti). - Various usability bug fixes (@goi43, @johanneskoester, @dcroote). - Better and more secure parsing of values when using --config (@bingxiao). ### \[5.27.4\] - 2020-11-03 #### Changed - Further speed improvements for DAG computation. - Fixed metadata migration errors occuring with long output file paths. - Add WorkflowHub specifications to the docs. - Fix group assignments. ### \[5.27.3\] - 2020-10-30 #### Changed - Added missing files to source distribution. ### \[5.27.2\] - 2020-10-30 #### Changed - DAG computation runtime has been improved by orders of magnitude, it is linear in the number of jobs now (@mhulsmann, @johanneskoester). - Stat calls have been dramatically reduced and are now performed in parallel (@johanneskoester). - Scheduler fixes (@FelixMoelder). - Directory support and other fixes for Google Life Sciences backend (@vsoch, @millerdz). - Support for panoptes monitor server (@fgypas). - Extended pathlib support (@mbhall88). - Vim plugin improvements (@troycomi). - Prevent jobs being rerun when input files are marked as ancient and another job in the DAG creates them. - Fixed --list-code-changes for included rules (@jbloom). #### Added - Syntax highlighting for nano (@baileythegreen). ### \[5.26.1\] - 2020-10-01 #### Changed - Use coin ILP solver for scheduling by default (GLPK has bugs that can cause it to fail in certain situations). - If coin is not available, fall back to greedy scheduler. ## \[5.26.0\] - 2020-09-30 #### Added - Flag --max-inventory-time for setting maximum time spend on creating file inventory. - Flag --scheduler-ilp-solver for defining which solver to use for the ILP scheduler. #### Changed - Fixed various bugs with the new scheduler (@FelixMoelder). - Fixed bug causing certain parameters not to be passed to the cluster (--set-scatter, --scheduler, --set-threads). - Updated docs and fixed of google backend (@vsoch). - Display jupyter notebook code in reports. - Improved scheduler behavior in order to directly remove temporary files if possible. ## \[5.25.0\] - 2020-09-18 #### Added - Simplified and more configurable support for scatter-gather processes (see docs). - Fully configurable DAG partitioning by grouping jobs at the command line. This should provide a vast additional improvement to scalability in cluster and cloud settings. #### Changed - Depend on latest pulp, thereby enable Python >=3.8 compatibility again. - Fixes for snakefile handling in google life sciences backend (@vsoch). ### \[5.24.2\] - 2020-09-15 #### Changed - Fixed a bug in the linter that caused a false warning when using resources in shell commands. ### \[5.24.1\] - 2020-09-13 #### Changed - Depend on pulp \< 2.0, which includes the default coin cbc solver for all platforms. ## \[5.24.0\] - 2020-09-09 #### Added - Preemtion support for google cloud backend (@vsoch). #### Changed - Fixed compatibility issues in new scheduler code (@dtrodrigues and @johanneskoester). - Improved error messages (@Sam-Tygier, @terrycojones) - Various small bug fixes. - Improved profile documentation (@johanneskoester). ## \[5.23.0\] - 2020-08-24 #### Added - Support for workflow configuration via portable encapsulated projects (PEPs, ). - A new ILP based default scheduler now ensures that temporary files are deleted as fast as possible (@FelixMoelder, @johanneskoester). #### Changed - Fixed bug in modification date comparison for files in google storage (@vsoch). - Various small documentation improvements (@dcroote, @erjel, @dlaehnemann, @goi42). ### \[5.22.1\] - 2020-08-14 #### Changed - Fixed a missing dependency for google storage in cloud execution. ## \[5.22.0\] - 2020-08-13 #### Added - Added short option `-T` for CLI parameter `--restart-times` (@mbhall88). #### Changed - Various small fixes for google storage and life sciences backends (@vsoch). ## \[5.21.0\] - 2020-08-11 #### Changed - Added default-remote-provider support for Azure storage (@andreas-wilm). - Various small bug fixes and documentation improvements. ### \[5.20.1\] - 2020-07-08 #### Changed - Fixed a bug that caused singularity args to be not passed on correctly when using script or conda. ## \[5.20.0\] - 2020-07-08 #### Changed - Exceptions in input functions are now handled in a smarter way, by choosing alternative paths in the DAG if available. - Debugging dag creation (--debug-dag) now gives more hints if alternative DAG paths are chosen. - Fixes for XRootD remote file implementation. - Improved CLI documentation. - Improved docs. - Various minor bug fixes. - Restored Python 3.5 compatibility. - Speed improvements for workdir cleanup. - Allow Path objects to be passed to expand. ### \[5.19.3\] - 2020-06-16 #### Changed - Performance improvements for DAG generation (up to 7x in the google cloud, anything from a little to massive in a cluster, depending on the overall filesystem performance). - Made harcoded bucket in google cloud executor configurable. - Improved speed of --unlock command. ### \[5.19.2\] - 2020-06-04 #### Changed - Fixed a bug in script and wrapper directives. Tried to decode a str. ### \[5.19.1\] - 2020-06-03 #### Changed - Fixed an issue with the parameter linting code, that could cause an index out of bounds exception. ## \[5.19.0\] - 2020-06-02 #### Added - The multiext function now allows arbitrary file extensions (no longer required to start with a "." (thanks to @jafors) - The include directive can now also take a Pathlib Path object (thanks to @mbhall88). #### Changed - Jupyter notebook integration no longer automatically starts a browser. - Empty directories are cleaned up after workflow execution. - Fixed directory handling: no longer fail if the same job writes both a dir and a contained file. - Linter now recommends using spaces only for indentation. - Persistence dir "aux" has been renamed to "auxilliary" in order to make windows happy. - Linter now distinguishes awk syntax from regular variable usage. - Various bug fixes for Windows (thanks to @melund). ## \[5.18.0\] - 2020-05-21 #### Added - Native Google Cloud support via the (despite the name generic) lifesciences API. - Ability to optionally exchange the conda frontend to mamba (faster and sometimes more correct) instead of conda. #### Changed - Improved notebook integration experience, with various removed bugs and pitfalls. - Auto-retry google storage API calls on transient or checksum errors. ## \[5.17.0\] - 2020-05-07 #### Added - --envvars flag for passing secrets to cloud executors #### Changed - Wider thumbnail dialogs in report. - Updated installation instructions. - Various small kubernetes bug fixes. - Bug fix for iRods remote files. ## \[5.16.0\] - 2020-04-29 #### Added - Interactive jupyter notebook editing. Notebooks defined by rules can be interactively drafted and updated using snakemake --edit-notebook (see docs). #### Changed - Fixed group resource usage to occupy one cluster/cloud node. - Minor bug fixes. ## \[5.15.0\] - 2020-04-21 #### Changed - The resource directive can now take strings, e.g. for defining a GPU model (see docs). This will e.g. be used for upcoming updates to cloud executors. - More extensive conda cleanup with --conda-cleanup-packages, meant for CI usage. - Further polish for reports. ## \[5.14.0\] - 2020-04-08 #### Changed - Redesigned HTML reports, with improved interface and performance. - For big data, HTML reports can now be stored as ZIP, where files are not anymore embedded but rather are stored in an auxilliary folder, such that they don't have to be in memory during report rendering. - Added subcategories to report (see docs). - Fixed a bug linter, leading to only one rule or snakefile to be linted. - Breaking change in CLI: added flags --conda-cleanup-envs and --conda-cleanup-pkgs, removed flag --cleanup-conda. - Fixed scheduling of pipe jobs, they are now always scheduled, fixing a hangup. - Corrected quoting of shell command for cluster submission. ## \[5.13.0\] - 2020-03-27 #### Added - Allow to flag directories for inclusion in the report. #### Changed - Fixed hash computation for --cache in case of positional params arguments. - Automatically restrict thread usage of linear algebra libraries to whatever is specified in the rule/job. ### \[5.12.3\] - 2020-03-24 #### Changed - Various minor bug fixes. ### \[5.12.2\] - 2020-03-24 #### Changed - Further improved linter output. ### \[5.12.1\] - 2020-03-24 #### Changed - Linter fixes ## \[5.12.0\] - 2020-03-24 #### Changed - Fixed the ability to supply functions for the thread directive. - Improved error messages for caching. #### Added - A new "cache: true" directive that allows to annotate between workflow caching eligibility for rules in the workflow. ### \[5.11.2\] - 2020-03-19 #### Changed - Fixed a spurious error message complaining about missing singularity image if --use-singularity is not activated. ### \[5.11.1\] - 2020-03-16 #### Changed - Fixed a KeyError bug when executing a workflow that defines containers without --use-singularity. ## \[5.11.0\] - 2020-03-16 #### Changed - Fixes for environment modules and tibanna-based AWS execution. - Fixes for --default-resources defaults. - --cores is now a mandatory argument! - Automatic checksum validation for google storage. #### Added - Azure storage authentication via SAS - A generic container directive that will in the future allow for other backends than just singularity. This deprecates the singularity directive, which will however stay functional at least until the next major release. - envvars directive for asserting environment variable existence. See docs. - support for AWS spot instances via --tibanna-config spot=true. - Automatic code quality linting via --lint. ## \[5.10.0\] - 2020-01-20 #### Added - Jupyter notebook integration, see docs. This enables interactive development of certain data analysis parts (e.g. for plotting). - Ability to overwrite thread definitions at the command line (`--threads rulename=3`), thereby improving scalability. - Requester pays configuration for google storage remote files. - Add keyword `allow_missing` to expand function, thereby allowing partical expansion by skipping wildcards for which no keywords are defined. #### Changed - Various bug fixes, e.g. for between workflow caching and script execution. ### \[5.9.1\] - 2019-12-20 #### Changed - Added a missing module. ## \[5.9.0\] - 2019-12-20 #### Added - Support for per-rule environment module definitions to enable HPC specific software deployment (see docs). - Allow custom log handler defitions via --log-handler-script (e.g. post errors and progress to a slack channel or send emails). - Allow setting threads as a function of the given cores (see docs). #### Changed - Various minor fixes. ### \[5.8.2\] - 2019-12-16 #### Added - Implemented a `multiext` helper, allowing to define a set of output files that just differ by extension. #### Changed - Fixed a failure when caching jobs with conda environments. - Fixed various minor bugs. - Caching now allows to cache the output of rules using `multiext`. ### \[5.8.1\] - 2019-11-15 #### Changed - Fixed a bug by adding a missing module. ## \[5.8.0\] - 2019-11-15 #### Added - Blockchain based caching between workflows (in collaboration with Sven Nahnsen from QBiC), see [the docs](https://snakemake.readthedocs.io/en/v5.8.0/executing/caching.html). - New flag --skip-cleanup-scripts, that leads to temporary scripts (coming from script or wrapper directive) are not deleted (by Vanessa Sochat). #### Changed - Various bug fixes. ### \[5.7.4\] - 2019-10-23 #### Changed - Various fixes and adaptations in the docker container image and the test suite. ### \[5.7.1\] - 2019-10-16 #### Added - Ability to print log files of failed jobs with --show-failed-logs. #### Changed - Fixed bugs in tibanna executor. - Fixed handling of symbolic links. - Fixed typos in help texts. - Fixed handling of default resources. - Fixed bugs in azure storage backend. ## \[5.7.0\] - 2019-10-07 #### Changed - Fixed various corner case bugs. Many thanks to the community for pull requests and reporting! - Container execution adapted to latest singularity. #### Added - First class support for Amazon cloud execution via a new [Tibanna backend](https://snakemake.readthedocs.io/en/v5.7.0/executable.html#executing-a-snakemake-workflow-via-tibanna-on-amazon-web-services). Thanks to Soo Lee from Harvard Biomedical Informatics! - Allow multiple config files to be passed via the command line. - A new, more detailed way to visualize the DAG (--filegraph). Thanks to Henning Timm! - Pathlib compatibility added. Input and output files can now also be Path objects. Thanks to Frederik Boulund! - New azure storage remote provider. Transparently access input and output files on Microsoft Azure. Thanks to Sebastian Kurscheid! ## \[5.6.0\] - 2019-09-06 #### Changed - Fix compatibility with latest singularity versions. - Various bug fixes (e.g. in cluster error handling, remote providers, kubernetes backend). #### Added - Add --default-resources flag, that allows to define default resources for jobs (e.g. mem_mb, disk_mb), see [docs](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#resources). - Accept `--dry-run` as a synonym of `--dryrun`. Other Snakemake options are similarly hyphenated, so other documentation now refers to `--dry-run` but both (and also `-n`) will always be accepted equivalently. ### \[5.5.4\] - 2019-07-21 #### Changed - Reports now automatically include workflow code and configuration for improved transparency. ### \[5.5.3\] - 2019-07-11 #### Changed - Various bug fixes. - Polished reports. ### \[5.5.2\] - 2019-06-25 #### Changed - Various minor bug fixes in reports. - Speed improvements when using checkpoints. ### \[5.5.1\] - 2019-06-18 #### Changed - Improved report interface. In particular for large files. - Small TSV tables are automatically rendered as HTML with datatables. - Be more permissive with Snakefile choices: allow "Snakefile", "snakefile", "workflow/Snakefile", "workflow/snakefile". ## \[5.5.0\] - 2019-05-31 #### Added - Script directives now also support Julia. #### Changed - Various small bug fixes. ### \[5.4.5\] - 2019-04-12 #### Changed - Fixed a bug with pipe output. - Cleaned up error output. ### \[5.4.4\] - 2019-03-22 #### Changed - Vastly improved performance of HTML reports generated with --report, via a more efficient encoding of dara-uri based download links. - Tighter layout, plus thumbnails and a lightbox for graphical results in HTML reports. - Bug fix for pipe groups. - Updated docs. - Better error handling in DRMAA executor. ### \[5.4.3\] - 2019-03-11 #### Changed - More robust handling of conda environment activation that should work with all setups where the conda is available when starting snakemake. - Fixed bugs on windows. ### \[5.4.2\] - 2019-02-15 #### Changed - Fixed a bug where git module cannot be imported from wrapper. ### \[5.4.1\] - 2019-02-14 #### Added - Warning when R script is used in combination with conda and R_LIBS environment variable is set. This can cause unexpected results and should be avoided. #### Changed - Improved quoting of paths in conda commands. - Fixed various issues with checkpoints. - Improved error messages when combining groups with cluster config. - Fixed bugs in group implementation. - Fixed singularity in combination with shadow. ## \[5.4.0\] - 2018-12-18 #### Added - Snakemake now allows for data-dependent conditional re-evaluation of the job DAG via checkpoints. This feature also deprecates the `dynamic` flag. See [the docs](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#data-dependent-conditional-execution). ### \[5.3.1\] - 2018-12-06 #### Changed - Various fixed bugs and papercuts, e.g., in group handling, kubernetes execution, singularity support, wrapper and script usage, benchmarking, schema validation. ## \[5.3.0\] - 2018-09-18 #### Added - Snakemake workflows can now be exported to CWL via the flag --export-cwl, see [the docs](https://snakemake.readthedocs.io/en/stable/executing/interoperability.html). #### Changed - Fixed bug in script and wrapper execution when using `--use-singularity --use-conda`. - Add host argument to S3RemoteProvider. - Various minor bug fixes. ### \[5.2.4\] - 2018-09-10 #### Added - New command line flag --shadow-prefix #### Changed - Fixed permission issue when using the script directive. This is a breaking change for scripts referring to files relative to the script directory (see the [docs](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#external-scripts)). - Fixed various minor bugs and papercuts. - Allow URL to local git repo with wrapper directive (`git+file:///path/to/your/repo/path_to_file@@version`) ### \[5.2.2\] - 2018-08-01 #### Changed - Always print timestamps, removed the --timestamps CLI option. - more robust detection of conda command - Fixed bug in RMarkdown script execution. - Fixed a bug in detection of group jobs. ## \[5.2.0\] - 2018-06-28 #### Changed - Directory outputs have to marked with `directory`. This ensures proper handling of timestamps and cleanup. This is a breaking change. Implemented by Rasmus Ã…gren. - Fixed kubernetes tests, fixed kubernetes volume handling. Implemented by Andrew Schriefer. - jinja2 and networkx are not optional dependencies when installing via pip. - When conda or singularity directives are used and the corresponding CLI flags are not specified, the user is notified at the beginning of the log output. - Fixed numerous small bugs and papercuts and extended documentation. ### \[5.1.5\] - 2018-06-24 #### Changed - fixed missing version info in docker image. - several minor fixes to EGA support. ### \[5.1.4\] - 2018-05-28 #### Added - Allow `category` to be set. #### Changed - Various cosmetic changes to reports. - Fixed encoding issues in reports. ### \[5.1.3\] - 2018-05-22 #### Changed - Fixed various bugs in job groups, shadow directive, singularity directive, and more. ### \[5.1.2\] - 2018-05-18 #### Changed - Fixed a bug in the report stylesheet. ## \[5.1.0\] - 2018-05-17 #### Added - A new framework for self-contained HTML reports, including results, statistics and topology information. In future releases this will be further extended. - A new utility snakemake.utils.validate() which allows to validate config and pandas data frames using JSON schemas. - Two new flags --cleanup-shadow and --cleanup-conda to clean up old unused conda and shadow data. #### Changed - Benchmark repeats are now specified inside the workflow via a new flag repeat(). - Command line interface help has been refactored into groups for better readability. ## \[5.0.0\] - 2018-05-11 #### Added - Group jobs for reduced queuing and network overhead, in particular with short running jobs. - Output files can be marked as pipes, such that producing and consuming job are executed simultaneously and interfomation is transferred directly without using disk. - Command line flags to clean output files. - Command line flag to list files in working directory that are not tracked by Snakemake. #### Changed - Fix of --default-remote-prefix in case of input functions returning lists or dicts. - Scheduler no longer prefers jobs with many downstream jobs. ### \[4.8.1\] - 2018-04-25 #### Added - Allow URLs for the conda directive. # Changed - Various minor updates in the docs. - Several bug fixes with remote file handling. - Fix ImportError occuring with script directive. - Use latest singularity. - Improved caching for file existence checks. We first check existence of parent directories and cache these results. By this, large parts of the generated FS tree can be pruned if files are not yet present. If files are present, the overhead is minimal, since the checks for the parents are cached. - Various minor bug fixes. ## \[4.8.0\] - 2018-03-13 #### Added - Integration with CWL: the `cwl` directive allows to use CWL tool definitions in addition to shell commands or Snakemake wrappers. - A global `singularity` directive allows to define a global singularity container to be used for all rules that don't specify their own. - Singularity and Conda can now be combined. This can be used to specify the operating system (via singularity), and the software stack (via conda), without the overhead of creating specialized container images for workflows or tasks. ## \[4.7.0\] - 2018-02-19 #### Changed - Speedups when calculating dry-runs. - Speedups for workflows with many rules when calculating the DAG. - Accept SIGTERM to gracefully finish all running jobs and exit. - Various minor bug fixes. ## \[4.6.0\] - 2018-02-06 #### Changed - Log files can now be used as input files for other rules. - Adapted to changes in Kubernetes client API. - Fixed minor issues in --archive option. - Search path order in scripts was changed to fix a bug with leaked packages from root env when using script directive together with conda. ### \[4.5.1\] - 2018-02-01 #### Added - Input and output files can now tag pathlib objects. # ## Changed - Various minor bug fixes. ## \[4.5.0\] - 2018-01-18 #### Added - iRODS remote provider # ## Changed - Bug fix in shell usage of scripts and wrappers. - Bug fixes for cluster execution, --immediate-submit and subworkflows. ## \[4.4.0\] - 2017-12-21 #### Added - A new shadow mode (minimal) that only symlinks input files has been added. #### Changed - The default shell is now bash on linux and macOS. If bash is not installed, we fall back to sh. Previously, Snakemake used the default shell of the user, which defeats the purpose of portability. If the developer decides so, the shell can be always overwritten using shell.executable(). - Snakemake now requires Singularity 2.4.1 at least (only when running with --use-singularity). - HTTP remote provider no longer automatically unpacks gzipped files. - Fixed various smaller bugs. ### \[4.3.1\] - 2017-11-16 #### Added - List all conda environments with their location on disk via --list-conda-envs. #### Changed - Do not clean up shadow on dry-run. - Allow R wrappers. ## \[4.3.0\] - 2017-10-27 #### Added - GridFTP remote provider. This is a specialization of the GFAL remote provider that uses globus-url-copy to download or upload files. # ## Changed - Scheduling and execution mechanisms have undergone a major revision that removes several potential (but rare) deadlocks. - Several bugs and corner cases of the singularity support have been fixed. - Snakemake now requires singularity 2.4 at least. ## \[4.2.0\] - 2017-10-10 #### Added - Support for executing jobs in per-rule singularity images. This is meant as an alternative to the conda directive (see docs), providing even more guarantees for reproducibility. #### Changed - In cluster mode, jobs that are still running after Snakemake has been killed are automatically resumed. - Various fixes to GFAL remote provider. - Fixed --summary and --list-code-changes. - Many other small bug fixes. ## \[4.1.0\] - 2017-09-26 #### Added - Support for configuration profiles. Profiles allow to specify default options, e.g., a cluster submission command. They can be used via 'snakemake --profile myprofile'. See the docs for details. - GFAL remote provider. This allows to use GridFTP, SRM and any other protocol supported by GFAL for remote input and output files. - Added --cluster-status flag that allows to specify a command that returns jobs status. # ## Changed - The scheduler now tries to get rid of the largest temp files first. - The Docker image used for kubernetes support can now be configured at the command line. - Rate-limiting for cluster interaction has been unified. - S3 remote provider uses boto3. - Resource functions can now use an additional `attempt` parameter, that contains the number of times this job has already been tried. - Various minor fixes. ## \[4.0.0\] - 2017-07-24 #### Added - Cloud computing support via Kubernetes. Snakemake workflows can be executed transparently in the cloud, while storing input and output files within the cloud storage (e.g. S3 or Google Storage). I.e., this feature does not need a shared filesystem between the cloud notes, and thereby makes the setup really simple. - WebDAV remote file support: Snakemake can now read and write from WebDAV. Hence, it can now, e.g., interact with Nextcloud or Owncloud. - Support for default remote providers: define a remote provider to implicitly use for all input and output files. - Added an option to only create conda environments instead of executing the workflow. # ## Changed - The number of files used for the metadata tracking of Snakemake (e.g., code, params, input changes) in the .snakemake directory has been reduced by a factor of 10, which should help with NFS and IO bottlenecks. This is a breaking change in the sense that Snakemake 4.x won't see the metadata of workflows executed with Snakemake 3.x. However, old metadata won't be overwritten, so that you can always go back and check things by installing an older version of Snakemake again. - The google storage (GS) remote provider has been changed to use the google SDK. This is a breaking change, since the remote provider invocation has been simplified (see docs). - Due to WebDAV support (which uses asyncio), Snakemake now requires Python 3.5 at least. - Various minor bug fixes (e.g. for dynamic output files). ### \[3.13.3\] - 2017-06-23 #### Changed - Fix a followup bug in Namedlist where a single item was not returned as string. ### \[3.13.2\] - 2017-06-20 #### Changed - The --wrapper-prefix flag now also affects where the corresponding environment definition is fetched from. - Fix bug where empty output file list was recognized as containing duplicates (issue #574). ### \[3.13.1\] - 2017-06-20 #### Changed - Fix --conda-prefix to be passed to all jobs. - Fix cleanup issue with scripts that fail to download. ## \[3.13.0\] - 2017-06-12 #### Added - An NCBI remote provider. By this, you can seamlessly integrate any NCBI resouce (reference genome, gene/protein sequences, ...) as input file. # ## Changed - Snakemake now detects if automatically generated conda environments have to be recreated because the workflow has been moved to a new path. - Remote functionality has been made more robust, in particular to avoid race conditions. - `--config` parameter evaluation has been fixed for non-string types. - The Snakemake docker container is now based on the official debian image. ## \[3.12.0\] - 2017-05-09 #### Added - Support for RMarkdown (.Rmd) in script directives. - New option --debug-dag that prints all decisions while building the DAG of jobs. This helps to debug problems like cycles or unexpected MissingInputExceptions. - New option --conda-prefix to specify the place where conda environments are stored. #### Changed - Benchmark files now also include the maximal RSS and VMS size of the Snakemake process and all sub processes. - Speedup conda environment creation. - Allow specification of DRMAA log dir. - Pass cluster config to subworkflow. ### \[3.11.2\] - 2017-03-15 #### Changed - Fixed fix handling of local URIs with the wrapper directive. ### \[3.11.1\] - 2017-03-14 #### Changed - --touch ignores missing files - Fixed handling of local URIs with the wrapper directive. ## \[3.11.0\] - 2017-03-08 #### Added - Param functions can now also refer to threads. # ## Changed - Improved tutorial and docs. - Made conda integration more robust. - None is converted to NULL in R scripts. ### \[3.10.2\] - 2017-02-28 #### Changed - Improved config file handling and merging. - Output files can be referred in params functions (i.e. lambda wildcards, output: ...) - Improved conda-environment creation. - Jobs are cached, leading to reduced memory footprint. - Fixed subworkflow handling in input functions. ## \[3.10.0\] - 2017-01-18 #### Added - Workflows can now be archived to a tarball with `snakemake --archive my-workflow.tar.gz`. The archive contains all input files, source code versioned with git and all software packages that are defined via conda environments. Hence, the archive allows to fully reproduce a workflow on a different machine. Such an archive can be uploaded to Zenodo, such that your workflow is secured in a self-contained, executable way for the future. # ## Changed - Improved logging. - Reduced memory footprint. - Added a flag to automatically unpack the output of input functions. - Improved handling of HTTP redirects with remote files. - Improved exception handling with DRMAA. - Scripts referred by the script directive can now use locally defined external python modules. ### \[3.9.1\] - 2016-12-23 #### Added - Jobs can be restarted upon failure (--restart-times). # ## Changed - The docs have been restructured and improved. Now available under snakemake.readthedocs.org. - Changes in scripts show up with --list-code-changes. - Duplicate output files now cause an error. - Various bug fixes. ## \[3.9.0\] - 2016-11-15 #### Added - Ability to define isolated conda software environments (YAML) per rule. Environments will be deployed by Snakemake upon workflow execution. - Command line argument --wrapper-prefix in order to overwrite the default URL for looking up wrapper scripts. # ## Changed - --summary now displays the log files correspoding to each output file. - Fixed hangups when using run directive and a large number of jobs - Fixed pickling errors with anonymous rules and run directive. - Various small bug fixes ### \[3.8.2\] - 2016-09-23 #### Changed - Add missing import in rules.py. - Use threading only in cluster jobs. ### \[3.8.1\] - 2016-09-14 #### Changed - Snakemake now warns when using relative paths starting with "./". - The option -R now also accepts an empty list of arguments. - Bug fix when handling benchmark directive. - Jobscripts exit with code 1 in case of failure. This should improve the error messages of cluster system. - Fixed a bug in SFTP remote provider. ## \[3.8.0\] - 2016-08-26 #### Added - Wildcards can now be constrained by rule and globally via the new `wildcard_constraints` directive (see the [docs](https://bitbucket.org/snakemake/snakemake/wiki/Documentation#markdown-header-wildcards)). - Subworkflows now allow to overwrite their config file via the configfile directive in the calling Snakefile. - A method `log_fmt_shell` in the snakemake proxy object that is available in scripts and wrappers allows to obtain a formatted string to redirect logging output from STDOUT or STDERR. - Functions given to resources can now optionally contain an additional argument `input` that refers to the input files. - Functions given to params can now optionally contain additional arguments `input` (see above) and `resources`. The latter refers to the resources. - It is now possible to let items in shell commands be automatically quoted (see the [docs](https://bitbucket.org/snakemake/snakemake/wiki/Documentation#markdown-header-rules)). This is usefull when dealing with filenames that contain whitespaces. #### Changed - Snakemake now deletes output files before job exection. Further, it touches output files after job execution. This solves various problems with slow NFS filesystems. - A bug was fixed that caused dynamic output rules to be executed multiple times when forcing their execution with -R. - A bug causing double uploads with remote files was fixed. Various additional bug fixes related to remote files. - Various minor bug fixes. ### \[3.7.1\] - 2016-05-16 #### Changed - Fixed a missing import of the multiprocessing module. ## \[3.7.0\] - 2016-05-05 #### Added - The entries in `resources` and the `threads` job attribute can now be callables that must return `int` values. - Multiple `--cluster-config` arguments can be given to the Snakemake command line. Later one override earlier ones. - In the API, multiple `cluster_config` paths can be given as a list, alternatively to the previous behaviour of expecting one string for this parameter. - When submitting cluster jobs (either through `--cluster` or `--drmaa`), you can now use `--max-jobs-per-second` to limit the number of jobs being submitted (also available through Snakemake API). Some cluster installations have problems with too many jobs per second. - Wildcard values are now printed upon job execution in addition to input and output files. # ## Changed - Fixed a bug with HTTP remote providers. ### \[3.6.1\] - 2016-04-08 #### Changed - Work around missing RecursionError in Python \< 3.5 - Improved conversion of numpy and pandas data structures to R scripts. - Fixed locking of working directory. ## \[3.6.0\] - 2016-03-10 #### Added - onstart handler, that allows to add code that shall be only executed before the actual workflow execution (not on dryrun). - Parameters defined in the cluster config file are now accessible in the job properties under the key "cluster". - The wrapper directive can be considered stable. # ## Changed - Allow to use rule/job parameters with braces notation in cluster config. - Show a proper error message in case of recursion errors. - Remove non-empty temp dirs. - Don't set the process group of Snakemake in order to allow kill signals from parent processes to be propagated. - Fixed various corner case bugs. - The params directive no longer converts a list `l` implicitly to `" ".join(l)`. ### \[3.5.5\] - 2016-01-23 #### Added - New experimental wrapper directive, which allows to refer to re-usable [wrapper scripts](https://bitbucket.org/snakemake/snakemake/wiki/Documentation#markdown-header-wrappers). Wrappers are provided in the [Snakemake Wrapper Repository](https://bitbucket.org/snakemake/snakemake-wrappers). - David Koppstein implemented two new command line options to constrain the execution of the DAG of job to sub-DAGs (--until and --omit-from). # ## Changed - Fixed various bugs, e.g. with shadow jobs and --latency-wait. ### \[3.5.4\] - 2015-12-04 #### Changed - The params directive now fully supports non-string parameters. Several bugs in the remote support were fixed. ### \[3.5.3\] - 2015-11-24 #### Changed - The missing remote module was added to the package. ### \[3.5.2\] - 2015-11-24 #### Added - Support for easy integration of external R and Python scripts via the new [script directive](https://bitbucket.org/snakemake/snakemake/wiki/Documentation#markdown-header-external-scripts). - Chris Tomkins-Tinch has implemented support for remote files: Snakemake can now handle input and output files from Amazon S3, Google Storage, FTP, SFTP, HTTP and Dropbox. - Simon Ye has implemented support for sandboxing jobs with [shadow rules](https://bitbucket.org/snakemake/snakemake/wiki/Documentation#markdown-header-shadow-rules). #### Changed - Manuel Holtgrewe has fixed dynamic output files in combination with multiple wildcards. - It is now possible to add suffixes to all shell commands with shell.suffix("mysuffix"). - Job execution has been refactored to spawn processes only when necessary, resolving several problems in combination with huge workflows consisting of thousands of jobs and reducing the memory footprint. - In order to reflect the new collaborative development model, Snakemake has moved from my personal bitbucket account to . ### \[3.4.2\] - 2015-09-12 #### Changed - Willem Ligtenberg has reduced the memory usage of Snakemake. - Per Unneberg has improved config file handling to provide a more intuitive overwrite behavior. - Simon Ye has improved the test suite of Snakemake and helped with setting up continuous integration via Codeship. - The cluster implementation has been rewritten to use only a single thread to wait for jobs. This avoids failures with large numbers of jobs. - Benchmarks are now writing tab-delimited text files instead of JSON. - Snakemake now always requires to set the number of jobs with -j when in cluster mode. Set this to a high value if your cluster does not have restrictions. - The Snakemake Conda package has been moved to the bioconda channel. - The handling of Symlinks was improved, which made a switch to Python 3.3 as the minimum required Python version necessary. ### \[3.4.1\] - 2015-08-05 #### Changed - This release fixes a bug that caused named input or output files to always be returned as lists instead of single files. ## \[3.4\] - 2015-07-18 #### Added - This release adds support for executing jobs on clusters in synchronous mode (e.g. qsub -sync). Thanks to David Alexander for implementing this. - There is now vim syntax highlighting support (thanks to Jay Hesselberth). - Snakemake is now available as Conda package. #### Changed - Lots of bugs have been fixed. Thanks go to e.g. David Koppstein, Marcel Martin, John Huddleston and Tao Wen for helping with useful reports and debugging. See [here](https://bitbucket.org/snakemake/snakemake/wiki/News-Archive) for older changes. snakemake-6.15.1/CODE_OF_CONDUCT.md000066400000000000000000000121041417574166400163570ustar00rootroot00000000000000 # Contributor Covenant Code of Conduct ## Our Pledge We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community. ## Our Standards Examples of behavior that contributes to a positive environment for our community include: * Demonstrating empathy and kindness toward other people * Being respectful of differing opinions, viewpoints, and experiences * Giving and gracefully accepting constructive feedback * Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience * Focusing on what is best not just for us as individuals, but for the overall community Examples of unacceptable behavior include: * The use of sexualized language or imagery, and sexual attention or advances of any kind * Trolling, insulting or derogatory comments, and personal or political attacks * Public or private harassment * Publishing others' private information, such as a physical or email address, without their explicit permission * Other conduct which could reasonably be considered inappropriate in a professional setting ## Enforcement Responsibilities Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful. Community leaders have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, and will communicate reasons for moderation decisions when appropriate. ## Scope This Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. ## Enforcement Instances of abusive, harassing, or otherwise unacceptable behavior may be reported via email to johannes.koester@uni-due.de. All complaints will be reviewed and investigated promptly and fairly. All community leaders are obligated to respect the privacy and security of the reporter of any incident. ## Enforcement Guidelines Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct: ### 1. Correction **Community Impact**: Use of inappropriate language or other behavior deemed unprofessional or unwelcome in the community. **Consequence**: A private, written warning from community leaders, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate. A public apology may be requested. ### 2. Warning **Community Impact**: A violation through a single incident or series of actions. **Consequence**: A warning with consequences for continued behavior. No interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, for a specified period of time. This includes avoiding interactions in community spaces as well as external channels like social media. Violating these terms may lead to a temporary or permanent ban. ### 3. Temporary Ban **Community Impact**: A serious violation of community standards, including sustained inappropriate behavior. **Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban. ### 4. Permanent Ban **Community Impact**: Demonstrating a pattern of violation of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals. **Consequence**: A permanent ban from any sort of public interaction within the community. ## Attribution This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 2.0, available at https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines were inspired by [Mozilla's code of conduct enforcement ladder](https://github.com/mozilla/diversity). [homepage]: https://www.contributor-covenant.org For answers to common questions about this code of conduct, see the FAQ at https://www.contributor-covenant.org/faq. Translations are available at https://www.contributor-covenant.org/translations. snakemake-6.15.1/Dockerfile000066400000000000000000000016201417574166400155530ustar00rootroot00000000000000FROM bitnami/minideb:buster MAINTAINER Johannes Köster ADD . /tmp/repo WORKDIR /tmp/repo ENV PATH /opt/conda/bin:${PATH} ENV LANG C.UTF-8 ENV SHELL /bin/bash RUN install_packages wget curl bzip2 ca-certificates gnupg2 squashfs-tools git RUN /bin/bash -c "curl -L https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh > miniconda.sh && \ bash miniconda.sh -b -p /opt/conda && \ rm miniconda.sh" RUN /bin/bash -c "conda install -y -c conda-forge mamba && \ mamba create -q -y -c conda-forge -c bioconda -n snakemake snakemake snakemake-minimal --only-deps && \ source activate snakemake && \ mamba install -q -y -c conda-forge singularity && \ conda clean --all -y && \ which python && \ pip install .[reports,messaging,google-cloud]" RUN echo "source activate snakemake" > ~/.bashrc ENV PATH /opt/conda/envs/snakemake/bin:${PATH} snakemake-6.15.1/LICENSE.md000066400000000000000000000021131417574166400151630ustar00rootroot00000000000000Copyright (c) 2012-2019 Johannes Köster Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. snakemake-6.15.1/MANIFEST.in000066400000000000000000000001071417574166400153160ustar00rootroot00000000000000include versioneer.py include snakemake/_version.py include LICENSE.md snakemake-6.15.1/README.md000066400000000000000000000044321417574166400150440ustar00rootroot00000000000000[![Gitpod Ready-to-Code](https://img.shields.io/badge/Gitpod-ready--to--code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/snakemake/snakemake) [![test status](https://github.com/snakemake/snakemake/workflows/CI/badge.svg?branch=main)](https://github.com/snakemake/snakemake/actions?query=branch%3Amain+workflow%3ACI) [![Sonarcloud Status](https://sonarcloud.io/api/project_badges/measure?project=snakemake_snakemake&metric=alert_status)](https://sonarcloud.io/dashboard?id=snakemake_snakemake) [![Bioconda](https://img.shields.io/conda/dn/bioconda/snakemake.svg?label=Bioconda)](https://bioconda.github.io/recipes/snakemake/README.html) [![Pypi](https://img.shields.io/pypi/pyversions/snakemake.svg)](https://pypi.org/project/snakemake) [![docker container status](https://img.shields.io/github/workflow/status/snakemake/snakemake/Publish%20to%20Docker%20Hub?color=blue&label=docker%20container)](https://hub.docker.com/r/snakemake/snakemake) [![Stack Overflow](https://img.shields.io/badge/stack-overflow-orange.svg)](https://stackoverflow.com/questions/tagged/snakemake) [![Twitter](https://img.shields.io/twitter/follow/johanneskoester.svg?style=social&label=Follow)](https://twitter.com/search?l=&q=%23snakemake%20from%3Ajohanneskoester) [![Discord](https://img.shields.io/discord/753690260830945390?label=discord%20chat)](https://discord.gg/NUdMtmr) [![Github stars](https://img.shields.io/github/stars/snakemake/snakemake?style=social)](https://github.com/snakemake/snakemake/stargazers) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md) # Snakemake The Snakemake workflow management system is a tool to create **reproducible and scalable** data analyses. Snakemake is highly popular, with on average more than 6 new citations per week, and over 200k downloads. Workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment. **Homepage: https://snakemake.github.io** Copyright (c) 2012-2021 Johannes Köster (see LICENSE) snakemake-6.15.1/doc-environment.yml000066400000000000000000000005241417574166400174150ustar00rootroot00000000000000channels: - conda-forge dependencies: - python >=3.5 - datrie - wrapt - pyyaml - requests - appdirs - docutils - ratelimiter - configargparse - jsonschema - gitpython - sphinx - pip - pip: - sphinxcontrib-napoleon - sphinx-argparse - sphinx_rtd_theme - docutils==0.12 - recommonmark - commonmark snakemake-6.15.1/docs/000077500000000000000000000000001417574166400145125ustar00rootroot00000000000000snakemake-6.15.1/docs/Makefile000066400000000000000000000151731417574166400161610ustar00rootroot00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = _build # User-friendly check for sphinx-build ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) $(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from https://www.sphinx-doc.org/) endif # Internal variables. PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . # the i18n builder cannot share the environment and doctrees with the others I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . .PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext help: @echo "Please use \`make ' where is one of" @echo " html to make standalone HTML files" @echo " dirhtml to make HTML files named index.html in directories" @echo " singlehtml to make a single large HTML file" @echo " pickle to make pickle files" @echo " json to make JSON files" @echo " htmlhelp to make HTML files and a HTML help project" @echo " qthelp to make HTML files and a qthelp project" @echo " devhelp to make HTML files and a Devhelp project" @echo " epub to make an epub" @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" @echo " latexpdf to make LaTeX files and run them through pdflatex" @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" @echo " text to make text files" @echo " man to make manual pages" @echo " texinfo to make Texinfo files" @echo " info to make Texinfo files and run them through makeinfo" @echo " gettext to make PO message catalogs" @echo " changes to make an overview of all changed/added/deprecated items" @echo " xml to make Docutils-native XML files" @echo " pseudoxml to make pseudoxml-XML files for display purposes" @echo " linkcheck to check all external links for integrity" @echo " doctest to run all doctests embedded in the documentation (if enabled)" clean: rm -rf $(BUILDDIR)/* html: $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." dirhtml: $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." singlehtml: $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml @echo @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." pickle: $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle @echo @echo "Build finished; now you can process the pickle files." json: $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json @echo @echo "Build finished; now you can process the JSON files." htmlhelp: $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp @echo @echo "Build finished; now you can run HTML Help Workshop with the" \ ".hhp project file in $(BUILDDIR)/htmlhelp." qthelp: $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp @echo @echo "Build finished; now you can run "qcollectiongenerator" with the" \ ".qhcp project file in $(BUILDDIR)/qthelp, like this:" @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/Snakemake.qhcp" @echo "To view the help file:" @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/Snakemake.qhc" devhelp: $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp @echo @echo "Build finished." @echo "To view the help file:" @echo "# mkdir -p $$HOME/.local/share/devhelp/Snakemake" @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/Snakemake" @echo "# devhelp" epub: $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub @echo @echo "Build finished. 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visibility: visible; transform: scale(.46); transform-origin: left; margin: -30px 0 -60px 0; } .wy-side-nav-search a { visibility: hidden; } /* Vertical navigation ==================================================== */ .wy-menu-vertical header, .wy-menu-vertical p.caption, .rst-versions a{ color: rgb(3,148,117); } .wy-menu-vertical a.reference:hover, .wy-menu-vertical a.reference.internal:hover{ background: #039475; color: #fff; } .wy-nav-side { background: rgb(240,240,240); } .wy-menu-vertical a.reference { color: #000; } .rst-versions .rst-current-version, .wy-nav-top, .wy-menu-vertical li.toctree-l2.current li.toctree-l3>a:hover { background: #002221; /* dark green */ } /* Main content ==================================================== */ .wy-nav-content .highlight, .wy-nav-content .rst-content .warning { background: #D2F3E6; /* light green */ } .wy-nav-content .rst-content .warning .admonition-title { background: #44CC11; } .wy-nav-content .highlight .kn { color: #002221; /* dark green */ } .wy-nav-content .highlight .nn, .wy-nav-content a.fa, .rst-content dl:not(.docutils) dt, .wy-nav-content .admonition.warning a { color: rgb(3,148,117); } .wy-nav-content a.reference { color: rgb(3,148,117); text-decoration: underline; } .wy-nav-content .rst-content dl:not(.docutils) dt { background: #D2F3E6; border-top: solid 3px #039475; /* dark green */; } /* Footer ==================================================== */ .wy-nav-content footer a { color: rgb(3,148,117); } .keep-us-sustainable { background-color: #333333; } snakemake-6.15.1/docs/api_reference/000077500000000000000000000000001417574166400173015ustar00rootroot00000000000000snakemake-6.15.1/docs/api_reference/internal/000077500000000000000000000000001417574166400211155ustar00rootroot00000000000000snakemake-6.15.1/docs/api_reference/internal/modules.rst000066400000000000000000000002021417574166400233110ustar00rootroot00000000000000Internal API ============ These pages document the entire internal API of Snakemake. .. toctree:: :maxdepth: 4 snakemake snakemake-6.15.1/docs/api_reference/internal/snakemake.remote.rst000066400000000000000000000045331417574166400251050ustar00rootroot00000000000000snakemake.remote package ======================== Submodules ---------- snakemake.remote.EGA module --------------------------- .. automodule:: snakemake.remote.EGA :members: :undoc-members: :show-inheritance: snakemake.remote.FTP module --------------------------- .. automodule:: snakemake.remote.FTP :members: :undoc-members: :show-inheritance: snakemake.remote.GS module -------------------------- .. automodule:: snakemake.remote.GS :members: :undoc-members: :show-inheritance: snakemake.remote.HTTP module ---------------------------- .. automodule:: snakemake.remote.HTTP :members: :undoc-members: :show-inheritance: snakemake.remote.NCBI module ---------------------------- .. automodule:: snakemake.remote.NCBI :members: :undoc-members: :show-inheritance: snakemake.remote.S3 module -------------------------- .. automodule:: snakemake.remote.S3 :members: :undoc-members: :show-inheritance: snakemake.remote.S3Mocked module -------------------------------- .. automodule:: snakemake.remote.S3Mocked :members: :undoc-members: :show-inheritance: snakemake.remote.SFTP module ---------------------------- .. automodule:: snakemake.remote.SFTP :members: :undoc-members: :show-inheritance: snakemake.remote.XRootD module ------------------------------ .. automodule:: snakemake.remote.XRootD :members: :undoc-members: :show-inheritance: snakemake.remote.dropbox module ------------------------------- .. automodule:: snakemake.remote.dropbox :members: :undoc-members: :show-inheritance: snakemake.remote.gfal module ---------------------------- .. automodule:: snakemake.remote.gfal :members: :undoc-members: :show-inheritance: snakemake.remote.gridftp module ------------------------------- .. automodule:: snakemake.remote.gridftp :members: :undoc-members: :show-inheritance: snakemake.remote.iRODS module ----------------------------- .. automodule:: snakemake.remote.iRODS :members: :undoc-members: :show-inheritance: snakemake.remote.webdav module ------------------------------ .. automodule:: snakemake.remote.webdav :members: :undoc-members: :show-inheritance: Module contents --------------- .. automodule:: snakemake.remote :members: :undoc-members: :show-inheritance: snakemake-6.15.1/docs/api_reference/internal/snakemake.report.rst000066400000000000000000000002561417574166400251230ustar00rootroot00000000000000snakemake.report package ======================== Module contents --------------- .. automodule:: snakemake.report :members: :undoc-members: :show-inheritance: snakemake-6.15.1/docs/api_reference/internal/snakemake.rst000066400000000000000000000073631417574166400236170ustar00rootroot00000000000000snakemake package ================= Subpackages ----------- .. toctree:: snakemake.remote snakemake.report Submodules ---------- snakemake.benchmark module -------------------------- .. automodule:: snakemake.benchmark :members: :undoc-members: :show-inheritance: snakemake.checkpoints module ---------------------------- .. automodule:: snakemake.checkpoints :members: :undoc-members: :show-inheritance: snakemake.common module ----------------------- .. automodule:: snakemake.common :members: :undoc-members: :show-inheritance: snakemake.conda module ---------------------- .. automodule:: snakemake.conda :members: :undoc-members: :show-inheritance: snakemake.cwl module -------------------- .. automodule:: snakemake.cwl :members: :undoc-members: :show-inheritance: snakemake.dag module -------------------- .. automodule:: snakemake.dag :members: :undoc-members: :show-inheritance: snakemake.decorators module --------------------------- .. automodule:: snakemake.decorators :members: :undoc-members: :show-inheritance: snakemake.exceptions module --------------------------- .. automodule:: snakemake.exceptions :members: :undoc-members: :show-inheritance: snakemake.executors module -------------------------- .. automodule:: snakemake.executors :members: :undoc-members: :show-inheritance: snakemake.gui module -------------------- .. automodule:: snakemake.gui :members: :undoc-members: :show-inheritance: snakemake.io module ------------------- .. automodule:: snakemake.io :members: :undoc-members: :show-inheritance: snakemake.jobs module --------------------- .. automodule:: snakemake.jobs :members: :undoc-members: :show-inheritance: snakemake.logging module ------------------------ .. automodule:: snakemake.logging :members: :undoc-members: :show-inheritance: snakemake.output\_index module ------------------------------ .. automodule:: snakemake.output_index :members: :undoc-members: :show-inheritance: snakemake.parser module ----------------------- .. automodule:: snakemake.parser :members: :undoc-members: :show-inheritance: snakemake.persistence module ---------------------------- .. automodule:: snakemake.persistence :members: :undoc-members: :show-inheritance: snakemake.rules module ---------------------- .. automodule:: snakemake.rules :members: :undoc-members: :show-inheritance: snakemake.scheduler module -------------------------- .. automodule:: snakemake.scheduler :members: :undoc-members: :show-inheritance: snakemake.script module ----------------------- .. automodule:: snakemake.script :members: :undoc-members: :show-inheritance: snakemake.shell module ---------------------- .. automodule:: snakemake.shell :members: :undoc-members: :show-inheritance: snakemake.singularity module ---------------------------- .. automodule:: snakemake.singularity :members: :undoc-members: :show-inheritance: snakemake.stats module ---------------------- .. automodule:: snakemake.stats :members: :undoc-members: :show-inheritance: snakemake.utils module ---------------------- .. automodule:: snakemake.utils :members: :undoc-members: :show-inheritance: snakemake.workflow module ------------------------- .. automodule:: snakemake.workflow :members: :undoc-members: :show-inheritance: snakemake.wrapper module ------------------------ .. automodule:: snakemake.wrapper :members: :undoc-members: :show-inheritance: Module contents --------------- .. automodule:: snakemake :members: :undoc-members: :show-inheritance: snakemake-6.15.1/docs/api_reference/snakemake.rst000066400000000000000000000001511417574166400217670ustar00rootroot00000000000000.. _api_reference_snakemake: The Snakemake API ================= .. autofunction:: snakemake.snakemake snakemake-6.15.1/docs/api_reference/snakemake_utils.rst000066400000000000000000000001411417574166400232060ustar00rootroot00000000000000.. _utils-api: Additional utils ================ .. automodule:: snakemake.utils :members: snakemake-6.15.1/docs/conf.py000066400000000000000000000214311417574166400160120ustar00rootroot00000000000000#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Snakemake documentation build configuration file, created by # sphinx-quickstart on Sat Feb 1 16:01:02 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys import os # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. sys.path.insert(0, os.path.abspath('../')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.mathjax', 'sphinx.ext.viewcode', 'sphinx.ext.napoleon', 'sphinxarg.ext', 'sphinx.ext.autosectionlabel', 'myst_parser', ] # skip internal class that Sphinx can't process (#296) autodoc_default_options = {'exclude-members': 'lazy_property'} # Snakemake theme (made by SciAni). html_css_files = ["theme.css"] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = ['.rst', '.md'] # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = 'Snakemake' copyright = '2014-2021, Johannes Koester' import snakemake # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = snakemake.__version__ if os.environ.get('READTHEDOCS') == 'True': # Because Read The Docs modifies conf.py, versioneer gives a "dirty" # version like "5.10.0+0.g28674b1.dirty" that is cleaned here. version = version.partition('+0.g')[0] # The full version, including alpha/beta/rc tags. release = version # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ['_build'] # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. #keep_warnings = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'sphinx_rtd_theme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = sphinx_bootstrap_theme.get_html_theme_path() # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. #html_extra_path = ["_static/css"] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {"index": "index.html"} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'Snakemakedoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ ('index', 'Snakemake.tex', 'Snakemake Documentation', 'Johannes Koester', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'snakemake', 'Snakemake Documentation', ['Johannes Koester'], 1) ] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'Snakemake', 'Snakemake Documentation', 'Johannes Koester', 'Snakemake', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. #texinfo_no_detailmenu = False def setup(app): app.add_css_file('sphinx-argparse.css') snakemake-6.15.1/docs/executing/000077500000000000000000000000001417574166400165055ustar00rootroot00000000000000snakemake-6.15.1/docs/executing/caching.rst000066400000000000000000000074211417574166400206370ustar00rootroot00000000000000.. _caching: ======================== Between workflow caching ======================== Within certain data analysis fields, there are certain intermediate results that reoccur in exactly the same way in many analysis. For example, in bioinformatics, reference genomes or annotations are downloaded, and read mapping indexes are built. Since such steps are independent of the actual data or measurements that are analyzed, but still computationally or timely expensive to conduct, it has been common practice to externalize their computation and assume the presence of the resulting files before execution of a workflow. From version 5.8.0 on, Snakemake offers a way to keep those steps inside the actual analysis without requiring from redundant computations. By hashing all steps, parameters, software stacks (in terms of conda environments or containers), and raw input required up to a certain step in a `blockchain `_, Snakemake is able to recognize **before** the computation whether a certain result is already available in a central cache on the same system. **Note that this is explicitly intended for caching results between workflows! There is no need to use this feature to avoid redundant computations within a workflow. Snakemake does this already out of the box.** Such caching has to be explicitly activated per rule, which can be done via the command line interface. For example, .. code-block:: console $ export SNAKEMAKE_OUTPUT_CACHE=/mnt/snakemake-cache/ $ snakemake --cache download_data create_index would instruct Snakemake to cache and reuse the results of the rules ``download_data`` and ``create_index``. The environment variable definition that happens in the first line (defining the location of the cache) should of course be done only once and system wide in reality. When Snakemake is executed without a shared filesystem (e.g., in the cloud, see :ref:`cloud`), the environment variable has to point to a location compatible with the given remote provider (e.g. an S3 or Google Storage bucket). In any case, the provided location should be shared between all workflows of your group, institute or computing environment, in order to benefit from the reuse of previously obtained intermediate results. Alternatively, rules can be marked as eligible for caching via the ``cache`` directive: .. code-block:: python rule download_data: output: "results/data/worldcitiespop.csv" cache: True shell: "curl -L https://burntsushi.net/stuff/worldcitiespop.csv > {output}" For workflows defining cache rules like this, it is enough to invoke Snakemake with .. code-block:: console $ snakemake --cache without explicit rulenames listed. Note that only rules with just a single output file (or directory) or with :ref:`multiext output files ` are eligible for caching. The reason is that for other rules it would be impossible to unambiguously assign the output files to cache entries while being agnostic of the actual file names. Also note that the rules need to retrieve all their parameters via the ``params`` directive (except input files). It is not allowed to directly use ``wildcards``, ``config`` or any global variable in the shell command or script, because these are not captured in the hash (otherwise, reuse would be unnecessarily limited). Also note that Snakemake will store everything in the cache as readable and writeable for **all users** on the system (except in the remote case, where permissions are not enforced and depend on your storage configuration). Hence, caching is not intended for private data, just for steps that deal with publicly available resources. Finally, be aware that the implementation should be considered **experimental** until this note is removed. snakemake-6.15.1/docs/executing/cli.rst000066400000000000000000000147641417574166400200220ustar00rootroot00000000000000.. _executable: ====================== Command line interface ====================== This part of the documentation describes the ``snakemake`` executable. Snakemake is primarily a command-line tool, so the ``snakemake`` executable is the primary way to execute, debug, and visualize workflows. .. user_manual-snakemake_options: ----------------------------- Useful Command Line Arguments ----------------------------- If called with the number of cores to use, i.e. .. code-block:: console $ snakemake --cores 1 Snakemake tries to execute the workflow specified in a file called ``Snakefile`` in the same directory (the Snakefile can be given via the parameter ``-s``). By issuing .. code-block:: console $ snakemake -n a dry-run can be performed. This is useful to test if the workflow is defined properly and to estimate the amount of needed computation. Further, the reason for each rule execution can be printed via .. code-block:: console $ snakemake -n -r Importantly, Snakemake can automatically determine which parts of the workflow can be run in parallel. By specifying more than one available core, i.e. .. code-block:: console $ snakemake --cores 4 one can tell Snakemake to use up to 4 cores and solve a binary knapsack problem to optimize the scheduling of jobs. If the number is omitted (i.e., only ``--cores`` is given), the number of used cores is determined as the number of available CPU cores in the machine. Snakemake workflows usually define the number of used threads of certain rules. Sometimes, it makes sense to overwrite the defaults given in the workflow definition. This can be done by using the ``--set-threads`` argument, e.g., .. code-block:: console $ snakemake --cores 4 --set-threads myrule=2 would overwrite whatever number of threads has been defined for the rule ``myrule`` and use ``2`` instead. Similarly, it is possible to overwrite other resource definitions in rules, via .. code-block:: console $ snakemake --cores 4 --set-resources myrule:partition="foo" Both mechanisms can be particularly handy when used in combination with :ref:`cluster execution `. Dealing with very large workflows --------------------------------- If your workflow has a lot of jobs, Snakemake might need some time to infer the dependencies (the job DAG) and which jobs are actually required to run. The major bottleneck involved is the filesystem, which has to be queried for existence and modification dates of files. To overcome this issue, Snakemake allows to run large workflows in batches. This way, fewer files have to be evaluated at once, and therefore the job DAG can be inferred faster. By running .. code-block:: console $ snakemake --cores 4 --batch myrule=1/3 you instruct to only compute the first of three batches of the inputs of the rule `myrule`. To generate the second batch, run .. code-block:: console $ snakemake --cores 4 --batch myrule=2/3 Finally, when running .. code-block:: console $ snakemake --cores 4 --batch myrule=3/3 Snakemake will process beyond the rule `myrule`, because all of its input files have been generated, and complete the workflow. Obviously, a good choice of the rule to perform the batching is a rule that has a lot of input files and upstream jobs, for example a central aggregation step within your workflow. We advice all workflow developers to inform potential users of the best suited batching rule. .. _profiles: -------- Profiles -------- Adapting Snakemake to a particular environment can entail many flags and options. Therefore, since Snakemake 4.1, it is possible to specify a configuration profile to be used to obtain default options: .. code-block:: console $ snakemake --profile myprofile Here, a folder ``myprofile`` is searched in per-user and global configuration directories (on Linux, this will be ``$HOME/.config/snakemake`` and ``/etc/xdg/snakemake``, you can find the answer for your system via ``snakemake --help``). Alternatively, an absolute or relative path to the folder can be given. The profile folder is expected to contain a file ``config.yaml`` that defines default values for the Snakemake command line arguments. For example, the file .. code-block:: yaml cluster: qsub jobs: 100 would setup Snakemake to always submit to the cluster via the ``qsub`` command, and never use more than 100 parallel jobs in total. The profile can be used to set a default for each option of the Snakemake command line interface. For this, option ``--someoption`` becomes ``someoption:`` in the profile. If options accept multiple arguments these must be given as YAML list in the profile. Under https://github.com/snakemake-profiles/doc, you can find publicly available profiles. Feel free to contribute your own. The profile folder can additionally contain auxilliary files, e.g., jobscripts, or any kind of wrappers. See https://github.com/snakemake-profiles/doc for examples. .. _getting_started-visualization: ------------- Visualization ------------- To visualize the workflow, one can use the option ``--dag``. This creates a representation of the DAG in the graphviz dot language which has to be postprocessed by the graphviz tool ``dot``. E.g. to visualize the DAG that would be executed, you can issue: .. code-block:: console $ snakemake --dag | dot | display For saving this to a file, you can specify the desired format: .. code-block:: console $ snakemake --dag | dot -Tpdf > dag.pdf To visualize the whole DAG regardless of the eventual presence of files, the ``forceall`` option can be used: .. code-block:: console $ snakemake --forceall --dag | dot -Tpdf > dag.pdf Of course the visual appearance can be modified by providing further command line arguments to ``dot``. **Note:** The DAG is printed in DOT format straight to the standard output, along with other ``print`` statements you may have in your Snakefile. Make sure to comment these other ``print`` statements so that ``dot`` can build a visual representation of your DAG. .. _all_options: ----------- All Options ----------- .. argparse:: :module: snakemake :func: get_argument_parser :prog: snakemake All command line options can be printed by calling ``snakemake -h``. .. _getting_started-bash_completion: --------------- Bash Completion --------------- Snakemake supports bash completion for filenames, rulenames and arguments. To enable it globally, just append .. code-block:: bash `snakemake --bash-completion` including the backticks to your ``.bashrc``. This only works if the ``snakemake`` command is in your path. snakemake-6.15.1/docs/executing/cloud.rst000066400000000000000000000421621417574166400203520ustar00rootroot00000000000000.. _cloud: =========================== Cloud execution =========================== ------------------------------------ Generic cloud support via Kubernetes ------------------------------------ Snakemake 4.0 and later supports execution in the cloud via Kubernetes. This is independent of the cloud provider, but we provide the setup steps for GCE below. Setup Kubernetes on Google cloud engine ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ First, install the `Google Cloud SDK `_. Then, run .. code-block:: console $ gcloud init to setup your access. Then, you can create a new kubernetes cluster via .. code-block:: console $ gcloud container clusters create $CLUSTER_NAME --num-nodes=$NODES --scopes storage-rw with ``$CLUSTER_NAME`` being the cluster name and ``$NODES`` being the number of cluster nodes. If you intend to use google storage, make sure that ``--scopes storage-rw`` is set. This enables Snakemake to write to the google storage from within the cloud nodes. Next, you configure Kubernetes to use the new cluster via .. code-block:: console $ gcloud container clusters get-credentials $CLUSTER_NAME If you are having issues with authentication, please refer to the help text: .. code-block:: console $ gcloud container clusters get-credentials --help You likely also want to use google storage for reading and writing files. For this, you will additionally need to authenticate with your google cloud account via .. code-block:: console $ gcloud auth application-default login This enables Snakemake to access google storage in order to check existence and modification dates of files. Now, Snakemake is ready to use your cluster. **Important:** After finishing your work, do not forget to delete the cluster with .. code-block:: console $ gcloud container clusters delete $CLUSTER_NAME in order to avoid unnecessary charges. .. _kubernetes: Executing a Snakemake workflow via kubernetes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Assuming that kubernetes has been properly configured (see above), you can execute a workflow via: .. code-block:: console snakemake --kubernetes --use-conda --default-remote-provider $REMOTE --default-remote-prefix $PREFIX In this mode, Snakemake will assume all input and output files to be stored in a given remote location, configured by setting ``$REMOTE`` to your provider of choice (e.g. ``GS`` for Google cloud storage or ``S3`` for Amazon S3) and ``$PREFIX`` to a bucket name or subfolder within that remote storage. After successful execution, you find your results in the specified remote storage. Of course, if any input or output already defines a different remote location, the latter will be used instead. Importantly, this means that Snakemake does **not** require a shared network filesystem to work in the cloud. .. sidebar:: Note Consider to :ref:`group jobs ` in order to minimize overhead, in particular for short-running jobs. Currently, this mode requires that the Snakemake workflow is stored in a git repository. Snakemake uses git to query necessary source files (the Snakefile, scripts, config, ...) for workflow execution and encodes them into the kubernetes job. Importantly, this also means that you should not put large non-source files into the git repo, since Snakemake will try to upload them to kubernetes with every job. With large files in the git repo, this can lead to performance issues or even random SSL errors from kubernetes. It is further possible to forward arbitrary environment variables to the kubernetes jobs via the flag ``--envvars`` (see ``snakemake --help``) or the ``envvars`` directive in the Snakefile. The former should be used e.g. for platform specific variables (e.g. secrets that are only needed for your kubernetes setup), whereas the latter should be used for variables that are needed for the workflow itself, regardless of whether it is executed on kubernetes or with a different backend. When executing, Snakemake will make use of the defined resources and threads to schedule jobs to the correct nodes. In particular, it will forward memory requirements defined as ``mem_mb`` to kubernetes. Further, it will propagate the number of threads a job intends to use, such that kubernetes can allocate it to the correct cloud computing node. ------------------------------------------------------------- Executing a Snakemake workflow via Google Cloud Life Sciences ------------------------------------------------------------- The `Google Cloud Life Sciences `_ provides a rich application programming interface to design pipelines. You'll first need to `follow instructions here `_ to create a Google Cloud Project and enable Life Sciences, Storage, and Compute Engine APIs, and continue with the prompts to create credentials. You'll want to create a service account for your host (it's easiest to give project Owner permissions), and save the json credentials. You'll want to export the full path to this file to ``GOOGLE_APPLICATION_CREDENTIALS`` : .. code-block:: console $ export GOOGLE_APPLICATION_CREDENTIALS=$HOME/path/snakemake-credentials.json If you lose the link to the credentials interface, you can `find it here `_. Optionally, you can export ``GOOGLE_CLOUD_PROJECT`` as the name of your Google Cloud Project. By default, the project associated with your application credentials will be used. .. code-block:: console $ export GOOGLE_CLOUD_PROJECT=my-project-name Data in Google Storage ~~~~~~~~~~~~~~~~~~~~~~ Using this executor typically requires you to start with large data files already in Google Storage, and then interact with them via the Google Storage remote executor. An easy way to do this is to use the `gsutil `_ command line client. For example, here is how we might upload a file to storage using it: .. code-block:: console $ gsutil -m cp mydata.txt gs://snakemake-bucket/1/mydata.txt The ``-m`` parameter enables multipart uploads for large files, so you can remove it if you are uploading one or more smaller files. And note that you'll need to modify the file and bucket names. Note that you can also easily use the Google Cloud Console interface, if a graphical interface is preferable to you. Environment Variables ~~~~~~~~~~~~~~~~~~~~~ **Important:** Google Cloud Life Sciences uses Google Compute, and does **not** encrypt environment variables. If you specify environment variables with the envvars directive or ``--envvars`` they will **not** be secrets. Container Bases ~~~~~~~~~~~~~~~ By default, Google Life Sciences uses the latest stable version of `snakemake/snakemake `_ on Docker Hub. You can choose to modify the container base with the ``--container-image`` (or ``container_image`` from within Python), however if you do so, your container must meet the following requirements: - have an entrypoint that can execute a ``/bin/bash`` command - have snakemake installed, either via ``conda activate snakemake`` or already on the path - also include snakemake Python dependencies for google.cloud If you use any Snakemake container as a base, you should be good to go. If you'd like to get a reference for requirements, it's helpful to look at the `Dockerfile `_ for Snakemake. Requesting GPUs ~~~~~~~~~~~~~~~ The Google Life Sciences API currently has support for `NVIDIA GPUs `_, meaning that you can request a number of NVIDIA GPUs explicitly by adding ``nvidia_gpu`` or ``gpu`` to your Snakefile resources for a step: .. code-block:: python rule a: output: "test.txt" resources: nvidia_gpu=1 shell: "somecommand ..." A specific `gpu model `_ can be requested using ``gpu_model`` and lowercase identifiers like ``nvidia-tesla-p100`` or ``nvidia-tesla-p4``, for example: ``gpu_model="nvidia-tesla-p100"``. If you don't specify ``gpu`` or ``nvidia_gpu`` with a count, but you do specify a ``gpu_model``, the count will default to 1. In addition to GPU for the Google Lifesciences Executor, you can request a `Google Cloud preemptible virtual machine `_ for one or more steps. See the `rules documentation `_ for how to add one or more preemptible arguments. Machine Types ~~~~~~~~~~~~~ To specify an exact `machine type `_ or a prefix to filter down to and then select based on other resource needs, you can set a default resource on the command line, either for a prefix or a full machine type: .. code-block:: console --default-resources "machine_type=n1-standard" If you want to specify the machine type as a resource, you can do that too: .. code-block:: python rule a: output: "test.txt" resources: machine_type="n1-standard-8" shell: "somecommand ..." If you request a gpu, this requires the "n1" prefix and your preference from the file or command line will be overridden. Note that the default resources for Google Life Sciences (memory and disk) are the same as for Tibanna. Running the Life Sciences Executor ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ When your Snakefile is ready, you can run snakemake to specify the life sciences executor. Notice that we are also providing a remote prefix for our storage path, along with a region. .. code-block:: console $ snakemake --google-lifesciences --default-remote-prefix snakemake-testing-data --use-conda --google-lifesciences-region us-west1 For more details and examples, we recommend you reference the `Google Life Sciences Executor Tutorial `_. ----------------------------------------------------------------- Executing a Snakemake workflow via Tibanna on Amazon Web Services ----------------------------------------------------------------- First, install `Tibanna `_. .. code-block:: console $ pip install -U tibanna Set up aws configuration either by creating files ``~/.aws/credentials`` and ``~/.aws/config`` or by setting up environment variables as below (see Tibanna or AWS documentation for more details): .. code-block:: console $ export AWS_ACCESS_KEY_ID= $ export AWS_SECRET_ACCESS_KEY= $ export AWS_DEFAULT_REGION= As an AWS admin, deploy Tibanna Unicorn to Cloud with permissions to a specific S3 bucket. Name the Unicorn / Unicorn usergroup with the ``--usergroup`` option. Unicorn is a serverless scheduler, and keeping unicorn on the cloud does not incur extra cost. One may have many different unicorns with different names and different bucket permissions. Then, add other (IAM) users to the user group that has permission to use this unicorn / buckets. .. code-block:: console $ tibanna deploy_unicorn -g -b $ tibanna add_user -u -g As a user that has been added to the group (or as an admin), set up the default unicorn. .. code-block:: console $ export TIBANNA_DEFAULT_STEP_FUNCTION_NAME=tibanna_unicorn_ Then, you can run as many snakemake runs as you wish as below, inside a directory that contains Snakefile and other necessary components (e.g. ``env.yml``, ``config.json``, ...). .. code-block:: console $ snakemake --tibanna --default-remote-prefix=/ [] In this mode, Snakemake will assume all input and output files to be stored in the specified remote location (a subdirectory inside a given S3 bucket.) After successful execution, you find your results in the specified remote storage. Of course, if any input or output already defines a different remote location, the latter will be used instead. In that case, Tibanna Unicorn must be deployed with all the relevant buckets (``-b bucket1,bucket2,bucket3,...``) to allow access to the Unicorn serverless components. Snakemake will assign 3x of the total input size as the allocated space for each execution. The execution may fail if the total input + output + temp file sizes exceed this estimate. In addition to regular snakemake options, ``--precommand=`` option allows sending a command to execute before executing each step on an isolated environment. This kind of command could involve downloading or installing necessary files that cannot be handled using conda (e.g. the command may begin with ``wget``, ``git clone``, etc.) To check Tibanna execution logs, first use ``tibanna stat`` to see the list of all the individual runs. .. code-block:: console $ tibanna stat -n -l Then, check the detailed log for each job using the Tibanna job id that can be obtained from the first column of the output of ``tibanna stat``. .. code-block:: console $ tibanna log -j .. sidebar:: Note Consider to :ref:`group jobs ` in order to minimize overhead, in particular for short-running jobs. When executing, Snakemake will make use of the defined resources and threads to schedule jobs to the correct nodes. In particular, it will forward memory requirements defined as `mem_mb` to Tibanna. Further, it will propagate the number of threads a job intends to use, such that Tibanna can allocate it to the most cost-effective cloud compute instance available. ----------------------------------------------------------------- Executing a Snakemake workflow via GA4GH TES ----------------------------------------------------------------- The task execution service (`TES `_) is an application programming interface developed by the Global Alliance for Genomics and Health (`GA4GH `_). It is used to process workflow tasks in a cloud environment. A TES server can be easily implemented in a public cloud or at a commercial cloud provider. Here, the TES standard provides an additional abstraction layer between the execution of a workflow (e.g. on your local machine) and technologies for execution of single tasks (e.g. based Kubernetes or HPC). We recommend using either `Funnel `_ or `TESK `_ to install a TES server. The guide here is based on Funnel (0.10.0). To install and configure Funnel follow its official `documentation `_. Configuration ~~~~~~~~~~~~~ Three steps are required to make a Snakemake workflow TES ready: **Attach conda to rules:** Execution of Snakemake tasks via TES means, Snakemake is running in a container in the cloud and it executes a specific rule (or a group of rules) with defined input/output data. By default, the TES module uses the latest Snakemake container. Running Snakemake within a container requires having all external tools installed within this container. This can be done by providing a custom container image having installed Snakemake and other all required tools (e.g. BWA). Or it can be done by attaching a conda environment to each rule, such that those tools will be installed within the running container. For simplicity, this guide recommends to attach a specific conda environment to each rule, although it is more efficient in the long term to provide custom container images. **Use remote files:** The TES module requires using a remote file storage system for input/output files such that all files are available on the cloud machines and within their running container. There are several options available in Snakemake to use remote files. This guide recommends to use S3 (or SWIFT) object storage. **Install py-tes module:** TES backend requires py-tes to be installed. Please install py-tes, e.g. via Conda or Pip. .. code-block:: console $ pip install py-tes Execution ~~~~~~~~~ Funnel starts container in read only mode, which is good practice. Anyhow, using the default Snakemake container image will likely require installing additional software within the running container. Therefore, we need to set two conda specific variables such that new environments will be installed at `/tmp` which will be mounted as a writable volume in the container. .. code-block:: console $ export CONDA_PKGS_DIRS=/tmp/conda $ export CONDA_ENVS_PATH=/tmp/conda Next, using S3 or SWIFT storage, we also need to set credentials. .. code-block:: console $ export AWS_ACCESS_KEY_ID=YOUR_ACCESS_KEY $ export AWS_SECRET_ACCESS_KEY=YOUR_SECRET_ACCESS_KEY Now we can run Snakemake using: .. code-block:: console $ snakemake \ --tes $TES_URL \ --use-conda \ --envvars CONDA_PKGS_DIRS CONDA_ENVS_PATH AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY \ --conda-prefix $CONDA_ENVS_PATH \ all snakemake-6.15.1/docs/executing/cluster.rst000066400000000000000000000070261417574166400207250ustar00rootroot00000000000000.. _cluster: ================= Cluster Execution ================= Snakemake can make use of cluster engines that support shell scripts and have access to a common filesystem, (e.g. the Sun Grid Engine). In this case, Snakemake simply needs to be given a submit command that accepts a shell script as first positional argument: .. code-block:: console $ snakemake --cluster qsub --jobs 32 Here, ``--jobs`` denotes the number of jobs submitted to the cluster at the same time (here 32). The cluster command can be decorated with job specific information, e.g. .. sidebar:: Note Consider to :ref:`group jobs ` in order to minimize overhead, in particular for short-running jobs. .. code-block:: console $ snakemake --cluster "qsub {threads}" Thereby, all keywords of a rule are allowed (e.g. rulename, params, input, output, threads, priority, resources, ...). For example, you could encode the expected running time in minutes into a :ref:`resource ` ``runtime_min``: .. code-block:: python rule: input: ... output: ... resources: runtime_min=240 shell: ... and forward it to the cluster scheduler: .. code-block:: console $ snakemake --cluster "qsub --runtime {resources.runtime}" In order to avoid specifying ``runtime_min`` for each rule, you can make use of the ``--default-resources`` flag, see ``snakemake --help``. If your cluster system supports `DRMAA `_, Snakemake can make use of that to increase the control over jobs. E.g. jobs can be cancelled upon pressing ``Ctrl+C``, which is not possible with the generic ``--cluster`` support. With DRMAA, no ``qsub`` command needs to be provided, but system specific arguments can still be given as a string, e.g. .. code-block:: console $ snakemake --drmaa " -q username" -j 32 Note that the string has to contain a leading whitespace. Else, the arguments will be interpreted as part of the normal Snakemake arguments, and execution will fail. Adapting to a specific cluster can involve quite a lot of options. It is therefore a good idea to setup a :ref:`a profile `. -------------- Job Properties -------------- When executing a workflow on a cluster using the ``--cluster`` parameter (see below), Snakemake creates a job script for each job to execute. This script is then invoked using the provided cluster submission command (e.g. ``qsub``). Sometimes you want to provide a custom wrapper for the cluster submission command that decides about additional parameters. As this might be based on properties of the job, Snakemake stores the job properties (e.g. name, rulename, threads, input, output, params etc.) as JSON inside the job script (for group jobs, the rulename will be "GROUP", otherwise it will be the same as the job name). For convenience, there exists a parser function `snakemake.utils.read_job_properties` that can be used to access the properties. The following shows an example job submission wrapper: .. code-block:: python #!python #!/usr/bin/env python3 import os import sys from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) # do something useful with the threads threads = job_properties[threads] # access property defined in the cluster configuration file (Snakemake >=3.6.0) job_properties["cluster"]["time"] os.system("qsub -t {threads} {script}".format(threads=threads, script=jobscript)) snakemake-6.15.1/docs/executing/grouping.rst000066400000000000000000000035121417574166400210720ustar00rootroot00000000000000.. _job_grouping: ============ Job Grouping ============ The graph of jobs that Snakemake determines before execution can be partitioned into groups. Such groups will be executed together in **cluster** or **cloud mode**, as a so-called **group job**, i.e., all jobs of a particular group will be submitted at once, to the same computing node. When executing locally, group definitions are ignored. Groups can be defined along with the workflow definition via the ``group`` keyword, see :ref:`snakefiles-grouping`. This way, queueing and execution time can be saved, in particular by attaching short-running downstream jobs to long running upstream jobs. However, often the benefit grouping should be heavily dependent on the specifics of the underlying computing platform. Hence, it is possible to assign groups via the command line. For example, with .. code-block:: bash snakemake --groups somerule=group0 someotherrule=group0 we assign the two rules ``somerule`` and ``someotherrule`` to the same group ``group0``. by default, groups do not span disconnected parts of the DAG. Here, this means that by default only jobs of ``somerule`` and ``someotherrule`` end in the same group that are directly connected. It is however possible to configure the number of connected DAG components that are spanned by a group via the flag ``--group-components``. This way, it is e.g. possible to define batches of jobs of the same kind that shall be executed within one group, e.g. .. code-block:: bash snakemake --groups somerule=group0 --group-components group0=5 means that given that there exist ``n`` jobs spawned from rule ``somerule``, Snakemake will create ``n / 5`` groups which each execute 5 jobs of ``somerule`` together. For example, with 10 jobs from ``somerule`` you would end up with 2 groups of 5 jobs that are submitted as one piece each. snakemake-6.15.1/docs/executing/interoperability.rst000066400000000000000000000032401417574166400226230ustar00rootroot00000000000000 ================ Interoperability ================ .. _cwl_export: ---------- CWL export ---------- Snakemake workflows can be exported to `CWL `_, such that they can be executed in any `CWL-enabled workflow engine `_. Since, CWL is less powerful for expressing workflows than Snakemake (most importantly Snakemake offers more flexible scatter-gather patterns, since full Python can be used), export works such that every Snakemake job is encoded into a single step in the CWL workflow. Moreover, every step of that workflow calls Snakemake again to execute the job. The latter enables advanced Snakemake features like scripts, benchmarks and remote files to work inside CWL. So, when exporting keep in mind that the resulting CWL file can become huge, depending on the number of jobs in your workflow. To export a Snakemake workflow to CWL, simply run .. code-block:: console $ snakemake --export-cwl workflow.cwl The resulting workflow will by default use the `Snakemake docker image `_ for every step, but this behavior can be overwritten via the CWL execution environment. Then, the workflow can be executed in the same working directory with, e.g., .. code-block:: console $ cwltool workflow.cwl Note that due to limitations in CWL, it seems currently impossible to avoid that all target files (output files of target jobs), are written directly to the workdir, regardless of their relative paths in the Snakefile. Note that export is impossible in case the workflow contains :ref:`checkpoints ` or output files with absolute paths.snakemake-6.15.1/docs/executing/monitoring.rst000066400000000000000000000032331417574166400214250ustar00rootroot00000000000000.. _monitoring: ========== Monitoring ========== Snakemake supports `panoptes `_ a server (under development) that lets you monitor the execution of snakemake workflows. Snakemake communicates with panoptes via the :code:`--wms-monitor` flag. The flag specifies the ip and port where panoptes is running (e.g. :code:`--wms-monitor http://127.0.0.1:5000`). For panoptes versions 0.1.1 and lower, Snakemake sends the following requests to wms monitor: .. csv-table:: :header: "API", "Method", "Data", "Description" :widths: 40, 20, 20, 60 ":code:`/api/service-info`", "GET", "json", "Snakemake gets the status of panoptes. Snakemake continues to run if the status (:code:`json['status']`) is :code:`'running'`. In all other cases snakemake exits with an error message." ":code:`/create_workflow`", "GET", "json", "Snakemake gets a unique id/name :code:`str(uuid.uuid4())` for each workflow triggered." ":code:`/update_workflow_status`", "POST", "dictionary", "Snakemake posts updates for workflows/jobs. The dictionary sent contains the log message dictionary , the current timestamp and the unique id/name of the workflow. .. code:: python { 'msg': repr(msg), 'timestamp': time.asctime(), 'id': id }" For future versions, Panoptes will implement`a more structured schema `_ to interact with the server. This means that for Snakemake 3.30.1 and lower, you should use Panoptes 0.1.1 and lower. The documentation here will be updated when a new version of Panoptes with the Monitor Schema is released. snakemake-6.15.1/docs/executor_tutorial/000077500000000000000000000000001417574166400202735ustar00rootroot00000000000000snakemake-6.15.1/docs/executor_tutorial/azure_aks.rst000066400000000000000000000252331417574166400230160ustar00rootroot00000000000000.. _tutorial-azure-aks: Auto-scaling Azure Kubernetes cluster without shared filesystem --------------------------------------------------------------- .. _Snakemake: http://snakemake.readthedocs.io .. _Python: https://www.python.org/ In this tutorial we will show how to execute a Snakemake workflow on an auto-scaling Azure Kubernetes cluster without a shared file-system. While Kubernetes is mainly known as microservice orchestration system with self-healing properties, we will use it here simply as auto-scaling compute orchestrator. One could use `persistent volumes in Kubernetes `__ as shared file system, but this adds an unnecessary level of complexity and most importantly costs. Instead we use cheap Azure Blob storage, which is used by Snakemake to automatically stage data in and out for every job. Following the steps below you will #. set up Azure Blob storage, download the Snakemake tutorial data and upload to Azure #. then create an Azure Kubernetes (AKS) cluster #. and finally run the analysis with Snakemake on the cluster Setup ::::: To go through this tutorial, you need the following software installed: * Python_ ≥3.5 * Snakemake_ ≥5.17 You should install conda as outlined in the :ref:`tutorial `, and then install full snakemake with: .. code:: console conda create -c bioconda -c conda-forge -n snakemake snakemake Make sure that the ``kubernetes`` and ``azure-storage-blob`` modules are installed in this environment. Should they be missing install with: .. code:: console pip install kubernetes pip install azure-storage-blob In addition you will need the `Azure CLI command `__ installed. Create an Azure storage account and upload data ::::::::::::::::::::::::::::::::::::::::::::::: We will be starting from scratch, i.e. we will create a new resource group and storage account. You can obviously reuse existing resources instead. .. code:: console # change the following names as required # azure region where to run: region=southeastasia # name of the resource group to create: resgroup=snakemaks-rg # name of storage account to create (all lowercase, no hyphens etc.): stgacct=snakemaksstg # create a resource group with name and in region as defined above az group create --name $resgroup --location $region # create a general purpose storage account with cheapest SKU az storage account create -n $stgacct -g $resgroup --sku Standard_LRS -l $region Get a key for that account and save it as ``stgkey`` for later use: .. code:: console stgkey=$(az storage account keys list -g $resgroup -n $storageacct | head -n1 | cut -f 3) Next, you will create a storage container (think: bucket) to upload the Snakemake tutorial data to: .. code:: console az storage container create --resource-group $resgroup --account-name $stgacct \ --account-key $stgkey --name snakemake-tutorial cd /tmp git clone https://github.com/snakemake/snakemake-tutorial-data.git cd snakemake-tutorial-data az storage blob upload-batch -d snakemake-tutorial --account-name $stgacct \ --account-key $stgkey -s data/ --destination-path data We are using `az storage blob` for uploading, because that `az` is already installed. A more efficient way of uploading would be to use `azcopy `__. Create an auto-scaling Kubernetes cluster ::::::::::::::::::::::::::::::::::::::::: .. code:: console # change the cluster name as you like clustername=snakemaks-aks az aks create --resource-group $resgroup --name $clustername \ --vm-set-type VirtualMachineScaleSets --load-balancer-sku standard --enable-cluster-autoscaler \ --node-count 1 --min-count 1 --max-count 3 --node-vm-size Standard_D3_v2 There is a lot going on here, so let’s unpack it: this creates an `auto-scaling Kubernetes cluster `__ (``--enable-cluster-autoscaler``) called ``$clustername`` (i.e. ``snakemaks-aks``), which starts out with one node (``--node-count 1``) and has a maximum of three nodes (``--min-count 1 --max-count 3``). For real world applications you will want to increase the maximum count and also increase the VM size. You could for example choose a large instance from the DSv2 series and add a larger disk with (``--node-osdisk-size``) if needed. See `here for more info on Linux VM sizes `__. Note, if you are creating the cluster in the Azure portal, click on the ellipsis under node-pools to find the auto-scaling option. Next, let’s fetch the credentials for this cluster, so that we can actually interact with it. .. code:: console az aks get-credentials --resource-group $resgroup --name $clustername # print basic cluster info kubectl cluster-info Running the workflow :::::::::::::::::::: Below we will task Snakemake to install software on the fly with conda. For this we need a Snakefile with corresponding conda environment yaml files. You can download the package containing all those files `here `__. After downloading, unzip it and cd into the newly created directory. .. code:: console $ cd /tmp $ unzip ~/Downloads/snakedir.zip $ cd snakedir $ find . . ./Snakefile ./envs ./envs/calling.yaml ./envs/mapping.yaml Now, we will need to setup the credentials that allow the Kubernetes nodes to read and write from blob storage. For the AzBlob storage provider in Snakemake this is done through the environment variables ``AZ_BLOB_ACCOUNT_URL`` and optionally ``AZ_BLOB_CREDENTIAL``. See the `documentation `__ for more info. ``AZ_BLOB_ACCOUNT_URL`` takes the form ``https://.blob.core.windows.net`` and may also contain a shared access signature (SAS), which is a powerful way to define fine grained and even time controlled access to storage on Azure. The SAS can be part of the URL, but if it’s missing, then you can set it with ``AZ_BLOB_CREDENTIAL`` or alternatively use the storage account key. To keep things simple we’ll use the storage key here, since we already have it available, but a SAS is generally more powerful. We’ll pass those variables on to the Kubernetes with ``--envvars`` (see below). Now you are ready to run the analysis: .. code:: console export AZ_BLOB_ACCOUNT_URL="https://${stgacct}.blob.core.windows.net" export AZ_BLOB_CREDENTIAL="$stgkey" snakemake --kubernetes \ --default-remote-prefix snakemake-tutorial --default-remote-provider AzBlob \ --envvars AZ_BLOB_ACCOUNT_URL AZ_BLOB_CREDENTIAL --use-conda --jobs 3 This will use the default Snakemake image from Dockerhub. If you would like to use your own, make sure that the image contains the same Snakemake version as installed locally and also supports Azure Blob storage. If you plan to use your own image hosted on Azure Container Registries (ACR), make sure to attach the ACR to your Kubernetes cluster. See `here `__ for more info. While Snakemake is running the workflow, it prints handy debug statements per job, e.g.: .. code:: console kubectl describe pod snakejob-c4d9bf9e-9076-576b-a1f9-736ec82afc64 kubectl logs snakejob-c4d9bf9e-9076-576b-a1f9-736ec82afc64 With these you can also follow the scale-up of the cluster: .. code:: console Events: Type Reason Age From Message ---- ------ ---- ---- ------- Warning FailedScheduling 60s (x3 over 62s) default-scheduler 0/1 nodes are available: 1 Insufficient cpu. Normal TriggeredScaleUp 50s cluster-autoscaler pod triggered scale-up: [{aks-nodepool1-17839284-vmss 1->3 (max: 3)}] After a while you will see three nodes (each running one BWA job), which was defined as the maximum above while creating your Kubernetes cluster: .. code:: console $ kubectl get nodes NAME STATUS ROLES AGE VERSION aks-nodepool1-17839284-vmss000000 Ready agent 74m v1.15.11 aks-nodepool1-17839284-vmss000001 Ready agent 11s v1.15.11 aks-nodepool1-17839284-vmss000002 Ready agent 62s v1.15.11 To get detailed information including historical data about used resources, check Insights in the Azure portal under your AKS cluster Monitoring/Insights. The alternative is an instant snapshot on the command line: :: $ kubectl top node NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% aks-nodepool1-17839284-vmss000000 217m 5% 1796Mi 16% aks-nodepool1-17839284-vmss000001 1973m 51% 529Mi 4% aks-nodepool1-17839284-vmss000002 698m 18% 1485Mi 13% After completion all results including logs can be found in the blob container. You will also find results listed in the first Snakefile target downloaded to the working directoy. :: $ find snakemake-tutorial/ snakemake-tutorial/ snakemake-tutorial/calls snakemake-tutorial/calls/all.vcf $ az storage blob list --container-name snakemake-tutorial --account-name $stgacct --account-key $stgkey -o table Name Blob Type Blob Tier Length Content Type Last Modified Snapshot ----------------------- ----------- ----------- -------- --------------------------------- ------------------------- ---------- calls/all.vcf BlockBlob Hot 90986 application/octet-stream 2020-06-08T05:11:31+00:00 data/genome.fa BlockBlob Hot 234112 application/octet-stream 2020-06-08T03:26:54+00:00 # etc. logs/mapped_reads/A.log BlockBlob Hot 346 application/octet-stream 2020-06-08T04:59:50+00:00 mapped_reads/A.bam BlockBlob Hot 2258058 application/octet-stream 2020-06-08T04:59:50+00:00 sorted_reads/A.bam BlockBlob Hot 2244660 application/octet-stream 2020-06-08T05:03:41+00:00 sorted_reads/A.bam.bai BlockBlob Hot 344 application/octet-stream 2020-06-08T05:06:25+00:00 # same for samples B and C Now that the execution is complete, the AKS cluster will scale down automatically. If you are not planning to run anything else, it makes sense to shut down it down entirely: :: az aks delete --name akscluster --resource-group $resgroup snakemake-6.15.1/docs/executor_tutorial/google_lifesciences.rst000066400000000000000000001134221417574166400250200ustar00rootroot00000000000000 .. _tutorial-google-lifesciences: Google Life Sciences Tutorial ------------------------------ .. _Snakemake: http://snakemake.readthedocs.io .. _Snakemake Remotes: https://snakemake.readthedocs.io/en/stable/snakefiles/remote_files.html .. _Python: https://www.python.org/ Setup ::::: To go through this tutorial, you need the following software installed: * Python_ ≥3.5 * Snakemake_ ≥5.16 * git First, you have to install the Miniconda Python3 distribution. See `here `_ for installation instructions. Make sure to ... * Install the **Python 3** version of Miniconda. * Answer yes to the question whether conda shall be put into your PATH. The default conda solver is a bit slow and sometimes has issues with `selecting the latest package releases `_. Therefore, we recommend to install `Mamba `_ as a drop-in replacement via .. code-block:: console $ conda install -c conda-forge mamba Then, you can install Snakemake with .. code-block:: console $ mamba create -c conda-forge -c bioconda -n snakemake snakemake from the `Bioconda `_ channel. This will install snakemake into an isolated software environment, that has to be activated with .. code-block:: console $ conda activate snakemake $ snakemake --help Credentials ::::::::::: Using the Google Life Sciences executor with Snakemake requires the environment variable `GOOGLE_APPLICATION_CREDENTIALS` exported, which should point to the full path of the file on your local machine. To generate this file, you can refer to the page under iam-admin to `download your service account `_ key and export it to the environment. .. code:: console export GOOGLE_APPLICATION_CREDENTIALS="/home/[username]/credentials.json" The suggested, minimal permissions required for this role include the following: - Compute Storage Admin(Can potentially be restricted further) - Compute Viewer - Service Account User - Cloud Life Sciences Workflows Runner - Service Usage Consumer Step 1: Upload Your Data :::::::::::::::::::::::: We will be obtaining inputs from Google Cloud Storage, as well as saving outputs there. You should first clone the repository with the Snakemake tutorial data: .. code:: console git clone https://github.com/snakemake/snakemake-lsh-tutorial-data cd snakemake-lsh-tutorial-data And then either manually create a bucket and upload data files there, or use the `provided script and instructions `_ to do it programatically from the command line. The script generally works like: .. code:: console python upload_google_storage.py / And you aren't required to provide a subfolder path if you want to upload to the root of a bucket. As an example, for this tutorial we upload the contents of "data" to the root of the bucket `snakemake-testing-data` .. code:: console export GOOGLE_APPLICATION_CREDENTIALS="/path/to/credentials.json" python upload_google_storage.py snakemake-testing-data data/ If you wanted to upload to a "subfolder" path in a bucket, you would do that as follows: .. code:: console export GOOGLE_APPLICATION_CREDENTIALS="/path/to/credentials.json" python upload_google_storage.py snakemake-testing-data/subfolder data/ Your bucket (and the folder prefix) will be referred to as the `--default-remote-prefix` when you run snakemake. You can visually browse your data in the `storage browser _`. .. image:: workflow/upload-google-storage.png Step 2: Write your Snakefile, Environment File, and Scripts ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: Now that we've exported our credentials and have all dependencies installed, let's get our workflow! This is the exact same workflow from the :ref:`basic tutorial`, so if you need a refresher on the design or basics, please see those pages. You can find the Snakefile, supporting scripts for plotting and environment in the `snakemake-lsh-tutorial-data `_ repository. First, how does a working directory work for this executor? The present working directory, as identified by Snakemake that has the Snakefile, and where a more advanced setup might have a folder of environment specifications (env) a folder of scripts (scripts), and rules (rules), is considered within the context of the build. When the Google Life Sciences executor is used, it generates a build package of all of the files here (within a reasonable size) and uploads those to storage. This package includes the .snakemake folder that would have been generated locally. The build package is then downloaded and extracted by each cloud executor, which is a Google Compute instance. We next need an `environment.yaml` file that will define the dependencies that we want installed with conda for our job. If you cloned the "snakemake-lsh-tutorial-data" repository you will already have this, and you are good to go. If not, save this to `environment.yaml` in your working directory: .. code:: yaml channels: - conda-forge - bioconda dependencies: - python =3.6 - jinja2 =2.10 - networkx =2.1 - matplotlib =2.2.3 - graphviz =2.38.0 - bcftools =1.9 - samtools =1.9 - bwa =0.7.17 - pysam =0.15.0 Notice that we reference this `environment.yaml` file in the Snakefile below. Importantly, if you were optimizing a pipeline, you would likely have a folder "envs" with more than one environment specification, one for each step. This workflow uses the same environment (with many dependencies) instead of this strategy to minimize the number of files for you. The Snakefile (also included in the repository) then has the following content. It's important to note that we have not customized this file from the basic tutorial to hard code any storage. We will be telling snakemake to use the remote bucket as storage instead of the local filesystem. .. code:: python SAMPLES = ["A", "B"] rule all: input: "plots/quals.svg" rule bwa_map: input: fastq="samples/{sample}.fastq", idx=multiext("genome.fa", ".amb", ".ann", ".bwt", ".pac", ".sa") conda: "environment.yaml" output: "mapped_reads/{sample}.bam" params: idx=lambda w, input: os.path.splitext(input.idx[0])[0] shell: "bwa mem {params.idx} {input.fastq} | samtools view -Sb - > {output}" rule samtools_sort: input: "mapped_reads/{sample}.bam" output: "sorted_reads/{sample}.bam" conda: "environment.yaml" shell: "samtools sort -T sorted_reads/{wildcards.sample} " "-O bam {input} > {output}" rule samtools_index: input: "sorted_reads/{sample}.bam" output: "sorted_reads/{sample}.bam.bai" conda: "environment.yaml" shell: "samtools index {input}" rule bcftools_call: input: fa="genome.fa", bam=expand("sorted_reads/{sample}.bam", sample=SAMPLES), bai=expand("sorted_reads/{sample}.bam.bai", sample=SAMPLES) output: "calls/all.vcf" conda: "environment.yaml" shell: "samtools mpileup -g -f {input.fa} {input.bam} | " "bcftools call -mv - > {output}" rule plot_quals: input: "calls/all.vcf" output: "plots/quals.svg" conda: "environment.yaml" script: "plot-quals.py" And make sure you also have the script `plot-quals.py` in your present working directory for the last step. This script will help us to do the plotting, and is also included in the `snakemake-lsh-tutorial-data `_ repository. .. code:: python import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt from pysam import VariantFile quals = [record.qual for record in VariantFile(snakemake.input[0])] plt.hist(quals) plt.savefig(snakemake.output[0]) Step 3: Run Snakemake ::::::::::::::::::::: Now let's run Snakemake with the Google Life Sciences Executor. .. code:: console snakemake --google-lifesciences --default-remote-prefix snakemake-testing-data --use-conda --google-lifesciences-region us-west1 The flags above refer to: - `--google-lifesciences`: to indicate that we want to use the Google Life Sciences API - `--default-remote-prefix`: refers to the Google Storage bucket. The bucket name is "snakemake-testing-data" and the "subfolder" (or path) (not defined above) would be a subfolder, if needed. - `--google-lifesciences-region`: the region that you want the instances to deploy to. Your storage bucket should be accessible from here, and your selection can have a small influence on the machine type selected. Once you submit the job, you'll immediately see the familiar Snakemake console output, but with additional lines for inspecting google compute instances with gcloud: .. code:: console Building DAG of jobs... Unable to retrieve additional files from git. This is not a git repository. Using shell: /bin/bash Rules claiming more threads will be scaled down. Job counts: count jobs 1 all 1 bcftools_call 2 bwa_map 1 plot_quals 2 samtools_index 2 samtools_sort 9 [Thu Apr 16 19:16:24 2020] rule bwa_map: input: snakemake-testing-data/genome.fa, snakemake-testing-data/samples/B.fastq output: snakemake-testing-data/mapped_reads/B.bam jobid: 8 wildcards: sample=B resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe 13586583122112209762 gcloud beta lifesciences operations list Take note of those last three lines to describe and list operations - this is how you get complete error and output logs for the run, which we will demonstrate using later. And you'll see a block like that for each rule. Here is what the entire workflow looks like after completion: .. code:: console Building DAG of jobs... Unable to retrieve additional files from git. This is not a git repository. Using shell: /bin/bash Rules claiming more threads will be scaled down. Job counts: count jobs 1 all 1 bcftools_call 2 bwa_map 1 plot_quals 2 samtools_index 2 samtools_sort 9 [Fri Apr 17 20:27:51 2020] rule bwa_map: input: snakemake-testing-data/samples/B.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa output: snakemake-testing-data/mapped_reads/B.bam jobid: 8 wildcards: sample=B resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/16135317625786219242 gcloud beta lifesciences operations list [Fri Apr 17 20:31:16 2020] Finished job 8. 1 of 9 steps (11%) done [Fri Apr 17 20:31:16 2020] rule bwa_map: input: snakemake-testing-data/samples/A.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa output: snakemake-testing-data/mapped_reads/A.bam jobid: 7 wildcards: sample=A resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/5458247376121133509 gcloud beta lifesciences operations list [Fri Apr 17 20:34:30 2020] Finished job 7. 2 of 9 steps (22%) done [Fri Apr 17 20:34:30 2020] rule samtools_sort: input: snakemake-testing-data/mapped_reads/B.bam output: snakemake-testing-data/sorted_reads/B.bam jobid: 4 wildcards: sample=B resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/13750029425473765929 gcloud beta lifesciences operations list [Fri Apr 17 20:37:34 2020] Finished job 4. 3 of 9 steps (33%) done [Fri Apr 17 20:37:35 2020] rule samtools_sort: input: snakemake-testing-data/mapped_reads/A.bam output: snakemake-testing-data/sorted_reads/A.bam jobid: 3 wildcards: sample=A resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/15643873965497084056 gcloud beta lifesciences operations list [Fri Apr 17 20:40:37 2020] Finished job 3. 4 of 9 steps (44%) done [Fri Apr 17 20:40:38 2020] rule samtools_index: input: snakemake-testing-data/sorted_reads/B.bam output: snakemake-testing-data/sorted_reads/B.bam.bai jobid: 6 wildcards: sample=B resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/6525320566174651173 gcloud beta lifesciences operations list [Fri Apr 17 20:43:41 2020] Finished job 6. 5 of 9 steps (56%) done [Fri Apr 17 20:43:41 2020] rule samtools_index: input: snakemake-testing-data/sorted_reads/A.bam output: snakemake-testing-data/sorted_reads/A.bam.bai jobid: 5 wildcards: sample=A resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/9175497885319251567 gcloud beta lifesciences operations list [Fri Apr 17 20:46:44 2020] Finished job 5. 6 of 9 steps (67%) done [Fri Apr 17 20:46:44 2020] rule bcftools_call: input: snakemake-testing-data/genome.fa, snakemake-testing-data/sorted_reads/A.bam, snakemake-testing-data/sorted_reads/B.bam, snakemake-testing-data/sorted_reads/A.bam.bai, snakemake-testing-data/sorted_reads/B.bam.bai output: snakemake-testing-data/calls/all.vcf jobid: 2 resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/622600526583374352 gcloud beta lifesciences operations list [Fri Apr 17 20:49:57 2020] Finished job 2. 7 of 9 steps (78%) done [Fri Apr 17 20:49:57 2020] rule plot_quals: input: snakemake-testing-data/calls/all.vcf output: snakemake-testing-data/plots/quals.svg jobid: 1 resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us-west2/operations/9350722561866518561 gcloud beta lifesciences operations list [Fri Apr 17 20:53:10 2020] Finished job 1. 8 of 9 steps (89%) done [Fri Apr 17 20:53:10 2020] localrule all: input: snakemake-testing-data/plots/quals.svg jobid: 0 resources: mem_mb=15360, disk_mb=128000 Downloading from remote: snakemake-testing-data/plots/quals.svg Finished download. [Fri Apr 17 20:53:10 2020] Finished job 0. 9 of 9 steps (100%) done Complete log: /home/vanessa/snakemake-work/tutorial/.snakemake/log/2020-04-17T202749.218820.snakemake.log We've finished the run, great! Let's inspect our results. Step 4: View Results :::::::::::::::::::: The entirety of the log that was printed to the terminal will be available on your local machine where you submit the job in the hidden `.snakemake` folder under "log" and timestamped accordingly. If you look at the last line in the output above, you'll see the full path to this file. You also might notice a line about downloading results: .. code:: console Downloading from remote: snakemake-testing-data/plots/quals.svg Since we defined this to be the target of our run .. code:: console rule all: input: "plots/quals.svg" this fill is downloaded to our host too. Actually, you'll notice that paths in storage are mirrored on your filesystem (this is what the workers do too): .. code:: console $ tree snakemake-testing-data/ snakemake-testing-data/ └── plots └── quals.svg We can see the result of our run, quals.svg, below: .. image:: workflow/quals.svg And if we look at the remote storage, we see that the result file (under plots) and intermediate results (under sorted_reads and calls) are saved there too! .. image:: workflow/results-google-storage.png The source folder contains a cache folder with archives that contain your working directories that are extracted on the worker instances. You can safely delete this folder, or keep it if you want to reproduce the run in the future. Step 5: Debugging ::::::::::::::::: Let's introduce an error (purposefully) into our Snakefile to practice debugging. Let's remove the conda environment.yaml file for the first rule, so we would expect that Snakemake won't be able to find the executables for bwa and samtools. In your Snakefile, change this: .. code:: python rule bwa_map: input: fastq="samples/{sample}.fastq", idx=multiext("genome.fa", ".amb", ".ann", ".bwt", ".pac", ".sa") conda: "environment.yaml" output: "mapped_reads/{sample}.bam" params: idx=lambda w, input: os.path.splitext(input.idx[0])[0] shell: "bwa mem {params.idx} {input.fastq} | samtools view -Sb - > {output}" to this: .. code:: python rule bwa_map: input: fastq="samples/{sample}.fastq", idx=multiext("genome.fa", ".amb", ".ann", ".bwt", ".pac", ".sa") output: "mapped_reads/{sample}.bam" params: idx=lambda w, input: os.path.splitext(input.idx[0])[0] shell: "bwa mem {params.idx} {input.fastq} | samtools view -Sb - > {output}" And then for the same command to run everything again, you would need to remove the plots, mapped_reads, and calls folders. Instead, we can make this request more easily by adding the argument `--forceall`: .. code:: console snakemake --google-lifesciences --default-remote-prefix snakemake-testing-data --use-conda --google-lifesciences-region us-west1 --forceall Everything will start out okay as it did before, and it will pause on the first step when it's deploying the first container image. The last part of the log will look somethig like this: .. code:: console [Fri Apr 17 22:01:38 2020] rule bwa_map: input: snakemake-testing-data/samples/B.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa output: snakemake-testing-data/mapped_reads/B.bam jobid: 8 wildcards: sample=B resources: mem_mb=15360, disk_mb=128000 Get status with: gcloud config set project snakemake-testing gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us/operations/11698975339184312706 gcloud beta lifesciences operations list Since we removed an important dependency to install libraries with conda, we are definitely going to hit an error! That looks like this: .. code:: console [Fri Apr 17 22:03:08 2020] Error in rule bwa_map: jobid: 8 output: snakemake-testing-data/mapped_reads/B.bam shell: bwa mem snakemake-testing-data/genome.fa snakemake-testing-data/samples/B.fastq | samtools view -Sb - > snakemake-testing-data/mapped_reads/B.bam (one of the commands exited with non-zero exit code; note that snakemake uses bash strict mode!) jobid: 11698975339184312706 Shutting down, this might take some time. Oh no! How do we debug it? The error above just indicates that "one of the commands exised with a non-zero exit code," and that isn't really enough to know what happened, and how to fix it. Debugging is actually quite simple, we can copy paste the gcloud command to describe our operation into the console. This will spit out an entire structure that shows every step of the rule running, from pulling a container, to downloading the working directory, to running the step. .. code:: console gcloud beta lifesciences operations describe projects/snakemake-testing/locations/us/operations/11698975339184312706 done: true error: code: 9 message: 'Execution failed: generic::failed_precondition: while running "snakejob-bwa_map-8": unexpected exit status 1 was not ignored' metadata: '@type': type.googleapis.com/google.cloud.lifesciences.v2beta.Metadata createTime: '2020-04-17T22:01:39.642966Z' endTime: '2020-04-17T22:02:59.149914114Z' events: - description: Worker released timestamp: '2020-04-17T22:02:59.149914114Z' workerReleased: instance: google-pipelines-worker-b1cdd36c743c3b477af8114d2511e37e zone: us-west1-c - description: 'Execution failed: generic::failed_precondition: while running "snakejob-bwa_map-8": unexpected exit status 1 was not ignored' failed: cause: 'Execution failed: generic::failed_precondition: while running "snakejob-bwa_map-8": unexpected exit status 1 was not ignored' code: FAILED_PRECONDITION timestamp: '2020-04-17T22:02:57.950752682Z' - description: Unexpected exit status 1 while running "snakejob-bwa_map-8" timestamp: '2020-04-17T22:02:57.842529458Z' unexpectedExitStatus: actionId: 1 exitStatus: 1 - containerStopped: actionId: 1 exitStatus: 1 stderr: | me.fa.bwt Finished download. /bin/bash: bwa: command not found /bin/bash: samtools: command not found [Fri Apr 17 22:02:57 2020] Error in rule bwa_map: jobid: 0 output: snakemake-testing-data/mapped_reads/B.bam shell: bwa mem snakemake-testing-data/genome.fa snakemake-testing-data/samples/B.fastq | samtools view -Sb - > snakemake-testing-data/mapped_reads/B.bam (one of the commands exited with non-zero exit code; note that snakemake uses bash strict mode!) Removing output files of failed job bwa_map since they might be corrupted: snakemake-testing-data/samples/B.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa, snakemake-testing-data/mapped_reads/B.bam Shutting down, this might take some time. Exiting because a job execution failed. Look above for error message Complete log: /workdir/.snakemake/log/2020-04-17T220254.129519.snakemake.log description: |- Stopped running "snakejob-bwa_map-8": exit status 1: me.fa.bwt Finished download. /bin/bash: bwa: command not found /bin/bash: samtools: command not found [Fri Apr 17 22:02:57 2020] Error in rule bwa_map: jobid: 0 output: snakemake-testing-data/mapped_reads/B.bam shell: bwa mem snakemake-testing-data/genome.fa snakemake-testing-data/samples/B.fastq | samtools view -Sb - > snakemake-testing-data/mapped_reads/B.bam (one of the commands exited with non-zero exit code; note that snakemake uses bash strict mode!) Removing output files of failed job bwa_map since they might be corrupted: snakemake-testing-data/samples/B.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa, snakemake-testing-data/mapped_reads/B.bam Shutting down, this might take some time. Exiting because a job execution failed. Look above for error message Complete log: /workdir/.snakemake/log/2020-04-17T220254.129519.snakemake.log timestamp: '2020-04-17T22:02:57.842442588Z' - containerStarted: actionId: 1 description: Started running "snakejob-bwa_map-8" timestamp: '2020-04-17T22:02:51.724433437Z' - description: Stopped pulling "snakemake/snakemake:v5.10.0" pullStopped: imageUri: snakemake/snakemake:v5.10.0 timestamp: '2020-04-17T22:02:43.696978950Z' - description: Started pulling "snakemake/snakemake:v5.10.0" pullStarted: imageUri: snakemake/snakemake:v5.10.0 timestamp: '2020-04-17T22:02:10.339950219Z' - description: Worker "google-pipelines-worker-b1cdd36c743c3b477af8114d2511e37e" assigned in "us-west1-c" timestamp: '2020-04-17T22:01:43.232858222Z' workerAssigned: instance: google-pipelines-worker-b1cdd36c743c3b477af8114d2511e37e machineType: n2-highmem-2 zone: us-west1-c labels: app: snakemake name: snakejob-b346c449-9fd6-4f1e-8043-17c300cc9c0d-bwa_map-8 pipeline: actions: - commands: - /bin/bash - -c - 'mkdir -p /workdir && cd /workdir && wget -O /download.py https://gist.githubusercontent.com/vsoch/84886ef6469bedeeb9a79a4eb7aec0d1/raw/181499f8f17163dcb2f89822079938cbfbd258cc/download.py && chmod +x /download.py && source activate snakemake || true && pip install crc32c && python /download.py download snakemake-testing-data source/cache/snakeworkdir-5f4f325b9ddb188d5da8bfab49d915f023509c0b1986eb72cb4a2540d7991c12.tar.gz /tmp/workdir.tar.gz && tar -xzvf /tmp/workdir.tar.gz && snakemake snakemake-testing-data/mapped_reads/B.bam --snakefile Snakefile --force -j --keep-target-files --keep-remote --latency-wait 0 --attempt 1 --force-use-threads --allowed-rules bwa_map --nocolor --notemp --no-hooks --nolock --use-conda --default-remote-provider GS --default-remote-prefix snakemake-testing-data --default-resources "mem_mb=15360" "disk_mb=128000" ' containerName: snakejob-bwa_map-8 imageUri: snakemake/snakemake:v5.10.0 labels: app: snakemake name: snakejob-b346c449-9fd6-4f1e-8043-17c300cc9c0d-bwa_map-8 resources: regions: - us-west1 virtualMachine: bootDiskSizeGb: 135 bootImage: projects/cos-cloud/global/images/family/cos-stable labels: app: snakemake goog-pipelines-worker: 'true' machineType: n2-highmem-2 serviceAccount: email: default scopes: - https://www.googleapis.com/auth/cloud-platform timeout: 604800s startTime: '2020-04-17T22:01:43.232858222Z' name: projects/411393320858/locations/us/operations/11698975339184312706 The log is hefty, so let's break it into pieces to talk about. Firstly, it's intended to be read from the bottom up if you want to see things in chronological order. The very bottom line is the unique id of the operation, and this is what you used (with the project identifier string, the number after projects, replaced with your project name) to query for the log. Let's look at the next section, `pipeline`. This was the specification built up by Snakemake and sent to the Google Life Sciences API as a request: .. code:: console pipeline: actions: - commands: - /bin/bash - -c - 'mkdir -p /workdir && cd /workdir && wget -O /download.py https://gist.githubusercontent.com/vsoch/84886ef6469bedeeb9a79a4eb7aec0d1/raw/181499f8f17163dcb2f89822079938cbfbd258cc/download.py && chmod +x /download.py && source activate snakemake || true && pip install crc32c && python /download.py download snakemake-testing-data source/cache/snakeworkdir-5f4f325b9ddb188d5da8bfab49d915f023509c0b1986eb72cb4a2540d7991c12.tar.gz /tmp/workdir.tar.gz && tar -xzvf /tmp/workdir.tar.gz && snakemake snakemake-testing-data/mapped_reads/B.bam --snakefile Snakefile --force -j --keep-target-files --keep-remote --latency-wait 0 --attempt 1 --force-use-threads --allowed-rules bwa_map --nocolor --notemp --no-hooks --nolock --use-conda --default-remote-provider GS --default-remote-prefix snakemake-testing-data --default-resources "mem_mb=15360" "disk_mb=128000" ' containerName: snakejob-bwa_map-8 imageUri: snakemake/snakemake:v5.10.0 labels: app: snakemake name: snakejob-b346c449-9fd6-4f1e-8043-17c300cc9c0d-bwa_map-8 resources: regions: - us-west1 virtualMachine: bootDiskSizeGb: 135 bootImage: projects/cos-cloud/global/images/family/cos-stable labels: app: snakemake goog-pipelines-worker: 'true' machineType: n2-highmem-2 serviceAccount: email: default scopes: - https://www.googleapis.com/auth/cloud-platform timeout: 604800s startTime: '2020-04-17T22:01:43.232858222Z' There is a lot of useful information here. Under *resources*: - **virtualMachine** shows the **machineType** that should correspond to the instance type. You can specify a full name or prefix with `--machine-type-prefix` or "machine_type" defined under resources for a step. Since we didn't set any requirements, it chose a reasonable choice for us. This section also shows the size of the boot disk (in GB) and if you added hardware accelerators (GPU) they should show up here too. - **regions** is the region that the instance was deployed in, which is important to know if you need to specify to run from a particular region. This parameter defalts to regions in the US, and can be modified with the `--google-lifesciences-regions` parameter. Under *actions* you'll find a few important fields: - **imageUri** is important to know to see the version of Snakemake (or another container base) that was used. You can customize this with `--container-image`, and it will default to the latest snakemake. - **commands** are the commands run to execute the container (also known as the entrypoint). For example, if you wanted to bring up your own instance manually and pull the container defined by `imageUri`, you could execute the commands to the container (or shell inside and run them interactively) to interactively debug. Notice that the commands ends with a call to snakemake, and shows the arguments that are used. Make sure that this matches your expectation. The next set of steps pertain to assigning the worker, pulling the container, and starting it. That looks something like this, and it's fairly straight forward. You can again see that earlier timestamps are on the bottom. .. code:: console - containerStarted: actionId: 1 description: Started running "snakejob-bwa_map-8" timestamp: '2020-04-17T22:02:51.724433437Z' - description: Stopped pulling "snakemake/snakemake:v5.10.0" pullStopped: imageUri: snakemake/snakemake:v5.10.0 timestamp: '2020-04-17T22:02:43.696978950Z' - description: Started pulling "snakemake/snakemake:v5.10.0" pullStarted: imageUri: snakemake/snakemake:v5.10.0 timestamp: '2020-04-17T22:02:10.339950219Z' - description: Worker "google-pipelines-worker-b1cdd36c743c3b477af8114d2511e37e" assigned in "us-west1-c" timestamp: '2020-04-17T22:01:43.232858222Z' workerAssigned: instance: google-pipelines-worker-b1cdd36c743c3b477af8114d2511e37e machineType: n2-highmem-2 zone: us-west1-c The next section, when the container is stopped, have the meat of the information that we need to debug! This is the step where there was a non-zero exit code. .. code:: console - containerStopped: actionId: 1 exitStatus: 1 stderr: | me.fa.bwt Finished download. /bin/bash: bwa: command not found /bin/bash: samtools: command not found [Fri Apr 17 22:02:57 2020] Error in rule bwa_map: jobid: 0 output: snakemake-testing-data/mapped_reads/B.bam shell: bwa mem snakemake-testing-data/genome.fa snakemake-testing-data/samples/B.fastq | samtools view -Sb - > snakemake-testing-data/mapped_reads/B.bam (one of the commands exited with non-zero exit code; note that snakemake uses bash strict mode!) Removing output files of failed job bwa_map since they might be corrupted: snakemake-testing-data/samples/B.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa, snakemake-testing-data/mapped_reads/B.bam Shutting down, this might take some time. Exiting because a job execution failed. Look above for error message Complete log: /workdir/.snakemake/log/2020-04-17T220254.129519.snakemake.log description: |- Stopped running "snakejob-bwa_map-8": exit status 1: me.fa.bwt Finished download. /bin/bash: bwa: command not found /bin/bash: samtools: command not found [Fri Apr 17 22:02:57 2020] Error in rule bwa_map: jobid: 0 output: snakemake-testing-data/mapped_reads/B.bam shell: bwa mem snakemake-testing-data/genome.fa snakemake-testing-data/samples/B.fastq | samtools view -Sb - > snakemake-testing-data/mapped_reads/B.bam (one of the commands exited with non-zero exit code; note that snakemake uses bash strict mode!) Removing output files of failed job bwa_map since they might be corrupted: snakemake-testing-data/samples/B.fastq, snakemake-testing-data/genome.fa.amb, snakemake-testing-data/genome.fa.ann, snakemake-testing-data/genome.fa.bwt, snakemake-testing-data/genome.fa.pac, snakemake-testing-data/genome.fa.sa, snakemake-testing-data/mapped_reads/B.bam Shutting down, this might take some time. Exiting because a job execution failed. Look above for error message Complete log: /workdir/.snakemake/log/2020-04-17T220254.129519.snakemake.log timestamp: '2020-04-17T22:02:57.842442588Z' Along with seeing the error in `stderr`, the description key holds the same error. We see what we would have seen if we were running the bwa mem command on our own command line, that the executables weren't found: .. code:: console stderr: | me.fa.bwt Finished download. /bin/bash: bwa: command not found /bin/bash: samtools: command not found But we shouldn't be surprised, we on purpose removed the environment file to install them! This is where you would read the error, and respond by updating your Snakefile with a fix. Step 6: Adding a Log File ::::::::::::::::::::::::: How might we do better at debugging in the future? The answer is to add a log file for each step, which is where any stderr will be written in the case of failure. For the same step above, we would update the rule to look like this: .. code:: python rule bwa_map: input: fastq="samples/{sample}.fastq", idx=multiext("genome.fa", ".amb", ".ann", ".bwt", ".pac", ".sa") output: "mapped_reads/{sample}.bam" params: idx=lambda w, input: os.path.splitext(input.idx[0])[0] shell: "bwa mem {params.idx} {input.fastq} | samtools view -Sb - > {output}" log: "logs/bwa_map/{sample}.log" In the above, we would write a log file to storage in a "subfolder" of the snakemake prefix located at "logs/bwa_map." The log file will be named according to the sample. You could also imagine a flatted structure with a path like `logs/bwa_map-{sample}.log`. It's up to you how you want to organize your output. This means that when you see the error appear in your terminal, you can quickly look at this log file instead of resorting to using the gcloud tool. It's generally good to remember when debugging that: - You should not make assumptions about anything's existence. Use print statements to verify. - The biggest errors tend to be syntax and/or path errors - If you want to test a different snakemake container, you can use the `--container` flag. - If the error is especially challenging, set up a small toy example that implements the most basic functionality that you want to achieve. - If you need help, reach out to ask for it! If there is an issue with the Google Life Sciences workflow executor, please `open an issue `_. - It also sometimes helps to take a break from working on something, and coming back with fresh eyes. snakemake-6.15.1/docs/executor_tutorial/tutorial.rst000066400000000000000000000016611417574166400226740ustar00rootroot00000000000000.. _executor_tutorial: ============================ Snakemake Executor Tutorials ============================ .. _cloud executors: https://snakemake.readthedocs.io/en/stable/executing/cloud.html .. _tutorial: https://snakemake.readthedocs.io/en/stable/tutorial/tutorial.html This set of tutorials are intended to introduce you to executing `cloud executors`_. We start with the original Snakemake `tutorial`_ and expand upon it to be run in different cloud environments. For each run, we show you how to: - authenticate with credentials, if required - prepare your workspace - submit a basic job - generate an error and debug The examples presented in these tutorials come from Bioinformatics. However, Snakemake is a general-purpose workflow management system for any discipline. We ensured that no bioinformatics knowledge is needed to understand the tutorial. .. toctree:: :maxdepth: 2 google_lifesciences azure_aks snakemake-6.15.1/docs/executor_tutorial/workflow/000077500000000000000000000000001417574166400221455ustar00rootroot00000000000000snakemake-6.15.1/docs/executor_tutorial/workflow/quals.svg000066400000000000000000000330131417574166400240130ustar00rootroot00000000000000 snakemake-6.15.1/docs/executor_tutorial/workflow/results-google-storage.png000066400000000000000000001574221417574166400273030ustar00rootroot00000000000000‰PNG  IHDR¢ÈeàM IDATxœìÝOl×½öñwÇ%—\rÉ%JdîÌMYˆèƳºžEZ3(`Z æ¢(ØÅuˆ^ a€[†…”d`¸¾2Üòå5›¸I ¹I׊iËv˜Ä¶&¥ÒPäŒKïó.fH)R–i,Ùßp‹†3‡ciþÎ9ü? 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!„9÷ÿ‘çpš8”IEND®B`‚snakemake-6.15.1/docs/getting_started/installation.rst000066400000000000000000000067151417574166400231450ustar00rootroot00000000000000.. _Miniconda: https://conda.pydata.org/miniconda.html .. _Mambaforge: https://github.com/conda-forge/miniforge#mambaforge .. _Mamba: https://github.com/mamba-org/mamba .. _Conda: https://conda.pydata.org .. _getting_started-installation: ============ Installation ============ Snakemake is available on PyPi as well as through Bioconda and also from source code. You can use one of the following ways for installing Snakemake. .. _conda-install: Installation via Conda/Mamba ============================ This is the **recommended** way to install Snakemake, because it also enables Snakemake to :ref:`handle software dependencies of your workflow `. First, you have install a Conda-based Python3 distribution. The recommended choice is Mambaforge_ which not only provides the required Python and Conda commands, but also includes Mamba_ an extremely fast and robust replacement for the Conda_ package manager which is highly recommended. The default conda solver is a bit slow and sometimes has issues with `selecting the latest package releases `_. Therefore, we recommend to in any case use Mamba_. In case you don't use Mambaforge_ you can always install Mamba_ into any other Conda-based Python distribution with .. code-block:: console $ conda install -n base -c conda-forge mamba Full installation ----------------- Snakemake can be installed with all goodies needed to run in any environment and for creating interactive reports via .. code-block:: console $ conda activate base $ mamba create -c conda-forge -c bioconda -n snakemake snakemake from the `Bioconda `_ channel. This will install snakemake into an isolated software environment, that has to be activated with .. code-block:: console $ conda activate snakemake $ snakemake --help Installing into isolated environments is best practice in order to avoid side effects with other packages. Note that full installation is not possible from **Windows**, because some of the dependencies are Unix (Linux/MacOS) only. For Windows, please use the minimal installation below. Minimal installation -------------------- A minimal version of Snakemake which only depends on the bare necessities can be installed with .. code-block:: console $ conda activate base $ mamba create -c bioconda -c conda-forge -n snakemake snakemake-minimal In contrast to the full installation, which depends on some Unix (Linux/MacOS) only packages, this also works on Windows. Notes on Bioconda as a package source ------------------------------------- Note that Snakemake is available via Bioconda for historical, reproducibility, and continuity reasons (although it is not limited to biology applications at all). However, it is easy to combine Snakemake installation with other channels, e.g., by prefixing the package name with ``::bioconda``, i.e., .. code-block:: console $ conda activate base $ mamba create -n some-env -c conda-forge bioconda::snakemake bioconda::snakemake-minimal ... Installation via pip ==================== Instead of conda, snakemake can be installed with pip. However, note that snakemake has non-python dependencies, such that the pip based installation has a limited functionality if those dependencies are not manually installed in addition. A list of Snakemake's dependencies can be found within its `meta.yaml conda recipe `_. snakemake-6.15.1/docs/index.rst000066400000000000000000000163061417574166400163610ustar00rootroot00000000000000.. _manual-main: ========= Snakemake ========= .. image:: https://img.shields.io/badge/Gitpod-ready--to--code-blue?logo=gitpod :target: https://gitpod.io/#https://github.com/snakemake/snakemake .. image:: https://img.shields.io/conda/dn/bioconda/snakemake.svg?label=Bioconda :target: https://bioconda.github.io/recipes/snakemake/README.html .. image:: https://img.shields.io/pypi/pyversions/snakemake.svg :target: https://www.python.org .. image:: https://img.shields.io/pypi/v/snakemake.svg :target: https://pypi.python.org/pypi/snakemake .. image:: https://img.shields.io/github/workflow/status/snakemake/snakemake/Publish%20to%20Docker%20Hub?color=blue&label=docker%20container&branch=main :target: https://hub.docker.com/r/snakemake/snakemake .. image:: https://github.com/snakemake/snakemake/workflows/CI/badge.svg?branch=main&label=tests :target: https://github.com/snakemake/snakemake/actions?query=branch%3Amain+workflow%3ACI .. image:: https://img.shields.io/badge/stack-overflow-orange.svg :target: https://stackoverflow.com/questions/tagged/snakemake .. image:: https://img.shields.io/twitter/follow/johanneskoester.svg?style=social&label=Follow :target: https://twitter.com/search?l=&q=%23snakemake%20from%3Ajohanneskoester .. image:: https://img.shields.io/discord/753690260830945390?label=discord%20chat :alt: Discord :target: https://discord.gg/NUdMtmr .. image:: https://img.shields.io/github/stars/snakemake/snakemake?style=social :alt: GitHub stars :target: https://github.com/snakemake/snakemake/stargazers .. .. raw:: html The Snakemake workflow management system is a tool to create **reproducible and scalable** data analyses. Workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments, without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment. Snakemake is **highly popular**, with `>5 new citations per week `_. For an introduction, please visit https://snakemake.github.io. .. _main-getting-started: --------------- Getting started --------------- * To get a first impression, please visit https://snakemake.github.io. * To properly understand what Snakemake can do for you please read our `"rolling" paper `_. * News about Snakemake are published via `Twitter `_. * To learn Snakemake, please do the :ref:`tutorial`, and see the :ref:`FAQ `. * **Best practices** for writing Snakemake workflows can be found :ref:`here `. * For more advanced usage on various platforms, see the :ref:`executor_tutorial`. .. _main-support: ------- Support ------- * For releases, see :ref:`Changelog `. * Check :ref:`frequently asked questions (FAQ) `. * In case of **questions**, please post on `stack overflow `_. * To **discuss** with other Snakemake users, use the `discord server `_. **Please do not post questions there. Use stack overflow for questions.** * For **bugs and feature requests**, please use the `issue tracker `_. * For **contributions**, visit Snakemake on `Github `_ and read the :ref:`guidelines `. -------- Citation -------- When using Snakemake, please cite our "rolling" paper `Mölder, F., Jablonski, K.P., Letcher, B., Hall, M.B., Tomkins-Tinch, C.H., Sochat, V., Forster, J., Lee, S., Twardziok, S.O., Kanitz, A., Wilm, A., Holtgrewe, M., Rahmann, S., Nahnsen, S., Köster, J., 2021. Sustainable data analysis with Snakemake. F1000Res 10, 33. `_ This paper will also be regularly updated when Snakemake receives new features. See :doc:`Citations ` for more information. --------- Resources --------- `Snakemake Wrappers Repository `_ The Snakemake Wrapper Repository is a collection of reusable wrappers that allow to quickly use popular tools from Snakemake rules and workflows. `Snakemake Workflow Catalog `_ An automatically scraped catalog of publicly available Snakemake workflows for any kind of data analysis. `Snakemake Workflows Project `_ This project provides a collection of high quality modularized and re-usable workflows. The provided code should also serve as a best-practices of how to build production ready workflows with Snakemake. Everybody is invited to contribute. `Snakemake Profiles Project `_ This project provides Snakemake configuration profiles for various execution environments. Please consider contributing your own if it is still missing. `Conda-Forge `_ Conda-Forge is a community driven distribution of Conda packages that can be used from Snakemake for creating completely reproducible workflows by defining the used software versions and providing binaries. `Bioconda `_ Bioconda, a partner project of conda-forge, is a community driven distribution of bioinformatics-related Conda packages that can be used from Snakemake for creating completely reproducible workflows by defining the used software versions and providing binaries. .. toctree:: :caption: Getting started :name: getting_started :hidden: :maxdepth: 1 getting_started/installation tutorial/tutorial tutorial/short executor_tutorial/tutorial snakefiles/best_practices .. toctree:: :caption: Executing workflows :name: execution :hidden: :maxdepth: 1 executing/cli executing/cluster executing/cloud executing/grouping executing/caching executing/interoperability executing/monitoring .. toctree:: :caption: Defining workflows :name: snakefiles :hidden: :maxdepth: 1 snakefiles/writing_snakefiles snakefiles/rules snakefiles/configuration snakefiles/modularization snakefiles/remote_files snakefiles/utils snakefiles/deployment snakefiles/reporting snakefiles/testing snakefiles/foreign_wms .. toctree:: :caption: API Reference :name: api-reference :hidden: :maxdepth: 1 api_reference/snakemake api_reference/snakemake_utils api_reference/internal/modules .. toctree:: :caption: Project Info :name: project-info :hidden: :maxdepth: 1 project_info/citations project_info/more_resources project_info/faq project_info/contributing project_info/authors project_info/history project_info/license snakemake-6.15.1/docs/project_info/000077500000000000000000000000001417574166400171735ustar00rootroot00000000000000snakemake-6.15.1/docs/project_info/authors.rst000066400000000000000000000015621417574166400214160ustar00rootroot00000000000000.. project_info-authors: ======= Credits ======= Development Lead ---------------- - Johannes Köster Development Team ---------------- - Christopher Tomkins-Tinch - David Koppstein - Tim Booth - Manuel Holtgrewe - Christian Arnold - Wibowo Arindrarto - Rasmus Ã…gren - Soohyun Lee - Vanessa Sochat Contributors ------------ In alphabetical order - Andreas Wilm - Anthony Underwood - Ryan Dale - David Alexander - Elias Kuthe - Elmar Pruesse - Hyeshik Chang - Jay Hesselberth - Jesper Foldager - John Huddleston - Joona Lehtomäki - Karel Brinda - Karl Gutwin - Kemal Eren - Kostis Anagnostopoulos - Kyle A. Beauchamp - Kyle Meyer - Lance Parsons - Manuel Holtgrewe - Marcel Martin - Matthew Shirley - Mattias Franberg - Matt Shirley - Paul Moore - Per Unneberg - Ryan C. Thompson - Ryan Dale - Sean Davis - Simon Ye - Tobias Marschall - Vanessa Sochat - Willem Ligtenberg snakemake-6.15.1/docs/project_info/citations.rst000066400000000000000000000047201417574166400217250ustar00rootroot00000000000000.. _project_info-citations: ==================== Citing and Citations ==================== This section gives instructions on how to cite Snakemake and lists citing articles. .. project_info-citing_snakemake: ---------------- Citing Snakemake ---------------- When using Snakemake for a publication, **please cite the following article** in you paper: `Mölder, F., Jablonski, K.P., Letcher, B., Hall, M.B., Tomkins-Tinch, C.H., Sochat, V., Forster, J., Lee, S., Twardziok, S.O., Kanitz, A., Wilm, A., Holtgrewe, M., Rahmann, S., Nahnsen, S., Köster, J., 2021. Sustainable data analysis with Snakemake. F1000Res 10, 33. `_ This "rolling" paper will be regularly updated when Snakemake receives new features. More References =============== The initial Snakemake publication was: `Köster, Johannes and Rahmann, Sven. "Snakemake - A scalable bioinformatics workflow engine". Bioinformatics 2012. `_ Another publication describing more of Snakemake internals: `Köster, Johannes and Rahmann, Sven. "Building and Documenting Bioinformatics Workflows with Python-based Snakemake". Proceedings of the GCB 2012. `_ And my PhD thesis which describes all algorithmic details as of 2015: `Johannes Köster, "Parallelization, Scalability, and Reproducibility in Next-Generation Sequencing Analysis", TU Dortmund 2014 `_ The most comprehensive publication is our "rolling" paper (see above): `Mölder, F., Jablonski, K.P., Letcher, B., Hall, M.B., Tomkins-Tinch, C.H., Sochat, V., Forster, J., Lee, S., Twardziok, S.O., Kanitz, A., Wilm, A., Holtgrewe, M., Rahmann, S., Nahnsen, S., Köster, J., 2021. Sustainable data analysis with Snakemake. F1000Res 10, 33. `_ Project Pages ============= If you publish a Snakemake workflow, consider to add this badge to your project page: .. image:: https://img.shields.io/badge/snakemake-≥5.6.0-brightgreen.svg?style=flat :target: https://snakemake.readthedocs.io The markdown syntax is .. sourcecode:: text [![Snakemake](https://img.shields.io/badge/snakemake-≥5.6.0-brightgreen.svg?style=flat)](https://snakemake.readthedocs.io) Replace the ``5.6.0`` with the minimum required Snakemake version. You can also `change the style `_. snakemake-6.15.1/docs/project_info/contributing.rst000066400000000000000000000263401417574166400224410ustar00rootroot00000000000000.. _project_info-contributing: ============ Contributing ============ Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given. You can contribute in many ways: ---------------------- Types of Contributions ---------------------- Report Bugs =========== Report bugs at https://github.com/snakemake/snakemake/issues If you are reporting a bug, please include: * Your operating system name and version. * Any details about your local setup that might be helpful in troubleshooting. * Detailed steps to reproduce the bug. Fix Bugs ======== Look through the Github issues for bugs. If you want to start working on a bug then please write short message on the issue tracker to prevent duplicate work. Implement Features ================== Look through the Github issues for features. If you want to start working on an issue then please write short message on the issue tracker to prevent duplicate work. Contributing a new cluster or cloud execution backend ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Execution backends are added by implementing a so-called ``Executor``. All executors are located in `snakemake/executors/ `_. In order to implement a new executor, you have to inherit from the class ``ClusterExecutor``. Below you find a skeleton .. code-block:: python class SkeletonExecutor(ClusterExecutor): def __init__(self, workflow, dag, cores, jobname="snakejob.{name}.{jobid}.sh", printreason=False, quiet=False, printshellcmds=False, latency_wait=3, cluster_config=None, local_input=None, restart_times=None, exec_job=None, assume_shared_fs=True, max_status_checks_per_second=1): # overwrite the command to execute a single snakemake job if necessary # exec_job = "..." super().__init__(workflow, dag, None, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cluster_config=cluster_config, local_input=local_input, restart_times=restart_times, exec_job=exec_job, assume_shared_fs=False, max_status_checks_per_second=10) # add additional attributes def shutdown(self): # perform additional steps on shutdown if necessary super().shutdown() def cancel(self): for job in self.active_jobs: # cancel active jobs here self.shutdown() def run_jobs(self, jobs, callback=None, submit_callback=None, error_callback=None): """Run a list of jobs that is ready at a given point in time. By default, this method just runs each job individually. This behavior is inherited and therefore this method can be removed from the skeleton if the default behavior is intended. This method can be overwritten to submit many jobs in a more efficient way than one-by-one. Note that in any case, for each job, the callback functions have to be called individually! """ for job in jobs: self.run( job, callback=callback, submit_callback=submit_callback, error_callback=error_callback, ) def run(self, job, callback=None, submit_callback=None, error_callback=None): """Run an individual job or a job group. """ super()._run(job) # obtain job execution command exec_job = self.format_job( self.exec_job, job, _quote_all=True, use_threads="--force-use-threads" if not job.is_group() else "") # submit job here, and obtain job ids from the backend # register job as active, using your own namedtuple. # The namedtuple must at least contain the attributes # job, jobid, callback, error_callback. self.active_jobs.append(MyJob( job, jobid, callback, error_callback)) def _wait_for_jobs(self): # busy wait on job completion # This is only needed if your backend does not allow to use callbacks # for obtaining job status. while True: # always use self.lock to avoid race conditions with self.lock: if not self.wait: return active_jobs = self.active_jobs self.active_jobs = list() still_running = list() for j in active_jobs: # use self.status_rate_limiter to avoid too many API calls. with self.status_rate_limiter: # Retrieve status of job j from your backend via j.jobid # Handle completion and errors, calling either j.callback(j.job) # or j.error_callback(j.job) # In case of error, add job j to still_running. with self.lock: self.active_jobs.extend(still_running) sleep() Write Documentation =================== Snakemake could always use more documentation, whether as part of the official vcfpy docs, in docstrings, or even on the web in blog posts, articles, and such. Snakemake uses `Sphinx `_ for the user manual (that you are currently reading). See `project_info-doc_guidelines` on how the documentation reStructuredText is used. Submit Feedback =============== The best way to send feedback is to file an issue at https://github.com/snakemake/snakemake/issues If you are proposing a feature: * Explain in detail how it would work. * Keep the scope as narrow as possible, to make it easier to implement. * Remember that this is a volunteer-driven project, and that contributions are welcome :) ----------------------- Pull Request Guidelines ----------------------- To update the documentation, fix bugs or add new features you need to create a Pull Request . A PR is a change you make to your local copy of the code for us to review and potentially integrate into the code base. To create a Pull Request you need to do these steps: 1. Create a Github account. 2. Fork the repository. 3. Clone your fork locally. 4. Go to the created snakemake folder with :code:`cd snakemake`. 5. Create a new branch with :code:`git checkout -b `. 6. Make your changes to the code or documentation. 7. Run :code:`git add .` to add all the changed files to the commit (to see what files will be added you can run :code:`git add . --dry-run`). 8. To commit the added files use :code:`git commit`. (This will open a command line editor to write a commit message. These should have a descriptive 80 line header, followed by an empty line, and then a description of what you did and why. To use your command line text editor of choice use (for example) :code:`export GIT_EDITOR=vim` before running :code:`git commit`). 9. Now you can push your changes to your Github copy of Snakemake by running :code:`git push origin `. 10. If you now go to the webpage for your Github copy of Snakemake you should see a link in the sidebar called "Create Pull Request". 11. Now you need to choose your PR from the menu and click the "Create pull request" button. Be sure to change the pull request target branch to ! If you want to create more pull requests, first run :code:`git checkout main` and then start at step 5. with a new branch name. Feel free to ask questions about this if you want to contribute to Snakemake :) ------------------ Testing Guidelines ------------------ To ensure that you do not introduce bugs into Snakemake, you should test your code thouroughly. To have integration tests run automatically when commiting code changes to Github, you need to sign up on wercker.com and register a user. The easiest way to run your development version of Snakemake is perhaps to go to the folder containing your local copy of Snakemake and call: .. code-block:: console $ conda env create -f test-environment.yml -n snakemake-testing $ conda activate snakemake-testing $ pip install -e . This will make your development version of Snakemake the one called when running snakemake. You do not need to run this command after each time you make code changes. From the base snakemake folder you call :code:`nosetests` to run all the tests, or choose one specific test. For this to work, Nose (the testing framework we use) can be installed to the conda environment using pip: .. code-block:: console $ pip install nose $ nosetests $ nosetests tests.tests:test_log_input If you introduce a new feature you should add a new test to the tests directory. See the folder for examples. .. project_info-doc_guidelines: ------------------------ Documentation Guidelines ------------------------ For the documentation, please adhere to the following guidelines: - Put each sentence on its own line, this makes tracking changes through Git SCM easier. - Provide hyperlink targets, at least for the first two section levels. For this, use the format ``-``, e.g., ``project_info-doc_guidelines``. - Use the section structure from below. :: .. document_part-heading_1: ========= Heading 1 ========= .. document_part-heading_2: --------- Heading 2 --------- .. document_part-heading_3: Heading 3 ========= .. document_part-heading_4: Heading 4 --------- .. document_part-heading_5: Heading 5 ~~~~~~~~~ .. document_part-heading_6: Heading 6 ::::::::: .. _doc_setup: ------------------- Documentation Setup ------------------- For building the documentation, you have to install the Sphinx. If you have already installed Conda, all you need to do is to create a Snakemake development environment via .. code-block:: console $ git clone git@github.com:snakemake/snakemake.git $ cd snakemake $ conda env create -f doc-environment.yml -n snakemake Then, the docs can be built with .. code-block:: console $ conda activate snakemake $ cd docs $ make html $ make clean && make html # force rebuild Alternatively, you can use virtualenv. The following assumes you have a working Python 3 setup. .. code-block:: console $ git clone git@github.org:snakemake/snakemake.git $ cd snakemake/docs $ virtualenv -p python3 .venv $ source .venv/bin/activate $ pip install --upgrade -r requirements.txt Afterwards, the docs can be built with .. code-block:: console $ source .venv/bin/activate $ make html # rebuild for changed files only $ make clean && make html # force rebuild snakemake-6.15.1/docs/project_info/faq.rst000066400000000000000000000754671417574166400205170ustar00rootroot00000000000000.. _project_info-faq: ========================== Frequently Asked Questions ========================== .. contents:: What is the key idea of Snakemake workflows? -------------------------------------------- The key idea is very similar to GNU Make. The workflow is determined automatically from top (the files you want) to bottom (the files you have), by applying very general rules with wildcards you give to Snakemake: .. image:: img/idea.png :alt: Snakemake idea When you start using Snakemake, please make sure to walk through the :ref:`official tutorial `. It is crucial to understand how to properly use the system. Snakemake does not connect my rules as I have expected, what can I do to debug my dependency structure? ------------------------------------------------------------------------------------------------------- Since dependencies are inferred implicitly, results can sometimes be suprising when little errors are made in filenames or when input functions raise unexpected errors. For debugging such cases, Snakemake provides the command line flag ``--debug-dag`` that leads to printing details each decision that is taken while determining the dependencies. In addition, it is advisable to check whether certain intermediate files would be created by targetting them individually via the command line. Finally, it is possible to constrain the rules that are considered for DAG creating via ``--allowed-rules``. This way, you can easily check rule by rule if it does what you expect. However, note that ``--allowed-rules`` is only meant for debugging. A workflow should always work fine without it. My shell command fails with with errors about an "unbound variable", what's wrong? ---------------------------------------------------------------------------------- This happens often when calling virtual environments from within Snakemake. Snakemake is using `bash strict mode `_, to ensure e.g. proper error behavior of shell scripts. Unfortunately, virtualenv and some other tools violate bash strict mode. The quick fix for virtualenv is to temporarily deactivate the check for unbound variables .. code-block:: bash set +u; source /path/to/venv/bin/activate; set -u For more details on bash strict mode, see the `here `_. My shell command fails with exit code != 0 from within a pipe, what's wrong? ---------------------------------------------------------------------------- Snakemake is using `bash strict mode `_ to ensure best practice error reporting in shell commands. This entails the pipefail option, which reports errors from within a pipe to outside. If you don't want this, e.g., to handle empty output in the pipe, you can disable pipefail via prepending .. code-block:: bash set +o pipefail; to your shell command in the problematic rule. I don't want Snakemake to detect an error if my shell command exits with an exitcode > 1. What can I do? --------------------------------------------------------------------------------------------------------- Sometimes, tools encode information in exit codes bigger than 1. Snakemake by default treats anything > 0 as an error. Special cases have to be added by yourself. For example, you can write .. code-block:: python shell: """ set +e somecommand ... exitcode=$? if [ $exitcode -eq 1 ] then exit 1 else exit 0 fi """ This way, Snakemake only treats exit code 1 as an error, and thinks that everything else is fine. Note that such tools are an excellent use case for contributing a `wrapper `_. .. _glob-wildcards: How do I run my rule on all files of a certain directory? --------------------------------------------------------- In Snakemake, similar to GNU Make, the workflow is determined from the top, i.e. from the target files. Imagine you have a directory with files ``1.fastq, 2.fastq, 3.fastq, ...``, and you want to produce files ``1.bam, 2.bam, 3.bam, ...`` you should specify these as target files, using the ids ``1,2,3,...``. You could end up with at least two rules like this (or any number of intermediate steps): .. code-block:: python IDS = "1 2 3 ...".split() # the list of desired ids # a pseudo-rule that collects the target files rule all: input: expand("otherdir/{id}.bam", id=IDS) # a general rule using wildcards that does the work rule: input: "thedir/{id}.fastq" output: "otherdir/{id}.bam" shell: "..." Snakemake will then go down the line and determine which files it needs from your initial directory. In order to infer the IDs from present files, Snakemake provides the ``glob_wildcards`` function, e.g. .. code-block:: python IDS, = glob_wildcards("thedir/{id}.fastq") The function matches the given pattern against the files present in the filesystem and thereby infers the values for all wildcards in the pattern. A named tuple that contains a list of values for each wildcard is returned. Here, this named tuple has only one item, that is the list of values for the wildcard ``{id}``. I don't want expand to use the product of every wildcard, what can I do? ------------------------------------------------------------------------ By default the expand function uses ``itertools.product`` to create every combination of the supplied wildcards. Expand takes an optional, second positional argument which can customize how wildcards are combined. To create the list ``["a_1.txt", "b_2.txt", "c_3.txt"]``, invoke expand as: ``expand("{sample}_{id}.txt", zip, sample=["a", "b", "c"], id=["1", "2", "3"])`` I don't want expand to use every wildcard, what can I do? --------------------------------------------------------- Sometimes partially expanding wildcards is useful to define inputs which still depend on some wildcards. Expand takes an optional keyword argument, allow_missing=True, that will format only wildcards which are supplied, leaving others as is. To create the list ``["{sample}_1.txt", "{sample}_2.txt"]``, invoke expand as: ``expand("{sample}_{id}.txt", id=["1", "2"], allow_missing=True)`` If the filename contains the wildcard ``allow_missing``, it will be formatted normally: ``expand("{allow_missing}.txt", allow_missing=True)`` returns ``["True.txt"]``. Snakemake complains about a cyclic dependency or a PeriodicWildcardError. What can I do? ---------------------------------------------------------------------------------------- One limitation of Snakemake is that graphs of jobs have to be acyclic (similar to GNU Make). This means, that no path in the graph may be a cycle. Although you might have considered this when designing your workflow, Snakemake sometimes runs into situations where a cyclic dependency cannot be avoided without further information, although the solution seems obvious for the developer. Consider the following example: .. code-block:: text rule all: input: "a" rule unzip: input: "{sample}.tar.gz" output: "{sample}" shell: "tar -xf {input}" If this workflow is executed with .. code-block:: console snakemake -n two things may happen. 1. If the file ``a.tar.gz`` is present in the filesystem, Snakemake will propose the following (expected and correct) plan: .. code-block:: text rule a: input: a.tar.gz output: a wildcards: sample=a localrule all: input: a Job counts: count jobs 1 a 1 all 2 2. If the file ``a.tar.gz`` is not present and cannot be created by any other rule than rule ``a``, Snakemake will try to run rule ``a`` again, with ``{sample}=a.tar.gz``. This would infinitely go on recursively. Snakemake detects this case and produces a ``PeriodicWildcardError``. In summary, ``PeriodicWildcardErrors`` hint to a problem where a rule or a set of rules can be applied to create its own input. If you are lucky, Snakemake can be smart and avoid the error by stopping the recursion if a file exists in the filesystem. Importantly, however, bugs upstream of that rule can manifest as ``PeriodicWildcardError``, although in reality just a file is missing or named differently. In such cases, it is best to restrict the wildcard of the output file(s), or follow the general rule of putting output files of different rules into unique subfolders of your working directory. This way, you can discover the true source of your error. Is it possible to pass variable values to the workflow via the command line? ---------------------------------------------------------------------------- Yes, this is possible. Have a look at :ref:`snakefiles_configuration`. Previously it was necessary to use environment variables like so: E.g. write .. code-block:: bash $ SAMPLES="1 2 3 4 5" snakemake and have in the Snakefile some Python code that reads this environment variable, i.e. .. code-block:: python SAMPLES = os.environ.get("SAMPLES", "10 20").split() I get a NameError with my shell command. Are braces unsupported? ---------------------------------------------------------------- You can use the entire Python `format minilanguage `_ in shell commands. Braces in shell commands that are not intended to insert variable values thus have to be escaped by doubling them: This: .. code-block:: python ... shell: "awk '{print $1}' {input}" becomes: .. code-block:: python ... shell: "awk '{{print $1}}' {input}" Here the double braces are escapes, i.e. there will remain single braces in the final command. In contrast, ``{input}`` is replaced with an input filename. In addition, if your shell command has literal backslashes, ``\\``, you must escape them with a backslash, ``\\\\``. For example: This: .. code-block:: python shell: """printf \">%s\"" {{input}}""" becomes: .. code-block:: python shell: """printf \\">%s\\"" {{input}}""" How do I incorporate files that do not follow a consistent naming scheme? ------------------------------------------------------------------------- The best solution is to have a dictionary that translates a sample id to the inconsistently named files and use a function (see :ref:`snakefiles-input_functions`) to provide an input file like this: .. code-block:: python FILENAME = dict(...) # map sample ids to the irregular filenames here rule: # use a function as input to delegate to the correct filename input: lambda wildcards: FILENAME[wildcards.sample] output: "somefolder/{sample}.csv" shell: ... How do I force Snakemake to rerun all jobs from the rule I just edited? ----------------------------------------------------------------------- This can be done by invoking Snakemake with the ``--forcerules`` or ``-R`` flag, followed by the rules that should be re-executed: .. code-block:: console $ snakemake -R somerule This will cause Snakemake to re-run all jobs of that rule and everything downstream (i.e. directly or indirectly depending on the rules output). How should Snakefiles be formatted? -------------------------------------- To ensure readability and consistency, you can format Snakefiles with our tool `snakefmt `_. Python code gets formatted with `black `_ and Snakemake-specific blocks are formatted using similar principles (such as `PEP8 `_). How do I enable syntax highlighting in Vim for Snakefiles? ---------------------------------------------------------- Instructions for doing this are located `here `_. Note that you can also format Snakefiles in Vim using :ref:`snakefmt `, with instructions located `here `_! I want to import some helper functions from another python file. Is that possible? ---------------------------------------------------------------------------------- Yes, from version 2.4.8 on, Snakemake allows to import python modules (and also simple python files) from the same directory where the Snakefile resides. How can I run Snakemake on a cluster where its main process is not allowed to run on the head node? --------------------------------------------------------------------------------------------------- This can be achived by submitting the main Snakemake invocation as a job to the cluster. If it is not allowed to submit a job from a non-head cluster node, you can provide a submit command that goes back to the head node before submitting: .. code-block:: bash qsub -N PIPE -cwd -j yes python snakemake --cluster "ssh user@headnode_address 'qsub -N pipe_task -j yes -cwd -S /bin/sh ' " -j This hint was provided by Inti Pedroso. Can the output of a rule be a symlink? -------------------------------------- Yes. As of Snakemake 3.8, output files are removed before running a rule and then touched after the rule completes to ensure they are newer than the input. Symlinks are treated just the same as normal files in this regard, and Snakemake ensures that it only modifies the link and not the target when doing this. Here is an example where you want to merge N files together, but if N == 1 a symlink will do. This is easier than attempting to implement workflow logic that skips the step entirely. Note the **-r** flag, supported by modern versions of ln, is useful to achieve correct linking between files in subdirectories. .. code-block:: python rule merge_files: output: "{foo}/all_merged.txt" input: my_input_func # some function that yields 1 or more files to merge run: if len(input) > 1: shell("cat {input} | sort > {output}") else: shell("ln -sr {input} {output}") Do be careful with symlinks in combination with :ref:`tutorial_temp-and-protected-files`. When the original file is deleted, this can cause various errors once the symlink does not point to a valid file any more. If you get a message like ``Unable to set utime on symlink .... Your Python build does not support it.`` this means that Snakemake is unable to properly adjust the modification time of the symlink. In this case, a workaround is to add the shell command `touch -h {output}` to the end of the rule. Can the input of a rule be a symlink? ------------------------------------- Yes. In this case, since Snakemake 3.8, one extra consideration is applied. If *either* the link itself or the target of the link is newer than the output files for the rule then it will trigger the rule to be re-run. I would like to receive a mail upon snakemake exit. How can this be achieved? ----------------------------------------------------------------------------- On unix, you can make use of the commonly pre-installed `mail` command: .. code-block:: bash snakemake 2> snakemake.log mail -s "snakemake finished" youremail@provider.com < snakemake.log In case your administrator does not provide you with a proper configuration of the sendmail framework, you can configure `mail` to work e.g. via Gmail (see `here `_). I want to pass variables between rules. Is that possible? --------------------------------------------------------- Because of the cluster support and the ability to resume a workflow where you stopped last time, Snakemake in general should be used in a way that information is stored in the output files of your jobs. Sometimes it might though be handy to have a kind of persistent storage for simple values between jobs and rules. Using plain python objects like a global dict for this will not work as each job is run in a separate process by snakemake. What helps here is the `PersistentDict` from the `pytools `_ package. Here is an example of a Snakemake workflow using this facility: .. code-block:: python from pytools.persistent_dict import PersistentDict storage = PersistentDict("mystorage") rule a: input: "test.in" output: "test.out" run: myvar = storage.fetch("myvar") # do stuff rule b: output: temp("test.in") run: storage.store("myvar", 3.14) Here, the output rule b has to be temp in order to ensure that ``myvar`` is stored in each run of the workflow as rule a relies on it. In other words, the PersistentDict is persistent between the job processes, but not between different runs of this workflow. If you need to conserve information between different runs, use output files for them. Why do my global variables behave strangely when I run my job on a cluster? --------------------------------------------------------------------------- This is closely related to the question above. Any Python code you put outside of a rule definition is normally run once before Snakemake starts to process rules, but on a cluster it is re-run again for each submitted job, because Snakemake implements jobs by re-running itself. Consider the following... .. code-block:: python from mydatabase import get_connection dbh = get_connection() latest_parameters = dbh.get_params().latest() rule a: input: "{foo}.in" output: "{foo}.out" shell: "do_op -params {latest_parameters} {input} {output}" When run a single machine, you will see a single connection to your database and get a single value for *latest_parameters* for the duration of the run. On a cluster you will see a connection attempt from the cluster node for each job submitted, regardless of whether it happens to involve rule a or not, and the parameters will be recalculated for each job. I want to configure the behavior of my shell for all rules. How can that be achieved with Snakemake? ---------------------------------------------------------------------------------------------------- You can set a prefix that will prepended to all shell commands by adding e.g. .. code-block:: python shell.prefix("set -o pipefail; ") to the top of your Snakefile. Make sure that the prefix ends with a semicolon, such that it will not interfere with the subsequent commands. To simulate a bash login shell, you can do the following: .. code-block:: python shell.executable("/bin/bash") shell.prefix("source ~/.bashrc; ") Some command line arguments like --config cannot be followed by rule or file targets. Is that intended behavior? ---------------------------------------------------------------------------------------------------------------- This is a limitation of the argparse module, which cannot distinguish between the perhaps next arg of ``--config`` and a target. As a solution, you can put the `--config` at the end of your invocation, or prepend the target with a single ``--``, i.e. .. code-block:: console $ snakemake --config foo=bar -- mytarget $ snakemake mytarget --config foo=bar How do I enforce config values given at the command line to be interpreted as strings? -------------------------------------------------------------------------------------- When passing config values like this .. code-block:: console $ snakemake --config version=2018_1 Snakemake will first try to interpret the given value as number. Only if that fails, it will interpret the value as string. Here, it does not fail, because the underscore `_` is interpreted as thousand separator. In order to ensure that the value is interpreted as string, you have to pass it in quotes. Since bash otherwise automatically removes quotes, you have to also wrap the entire entry into quotes, e.g.: .. code-block:: console $ snakemake --config 'version="2018_1"' How do I make my rule fail if an output file is empty? ------------------------------------------------------ Snakemake expects shell commands to behave properly, meaning that failures should cause an exit status other than zero. If a command does not exit with a status other than zero, Snakemake assumes everything worked fine, even if output files are empty. This is because empty output files are also a reasonable tool to indicate progress where no real output was produced. However, sometimes you will have to deal with tools that do not properly report their failure with an exit status. Here, the recommended way is to use bash to check for non-empty output files, e.g.: .. code-block:: python rule: input: ... output: "my/output/file.txt" shell: "somecommand {input} {output} && [[ -s {output} ]]" How does Snakemake lock the working directory? ---------------------------------------------- Per default, Snakemake will lock a working directory by output and input files. Two Snakemake instances that want to create the same output file are not possible. Two instances creating disjoint sets of output files are possible. With the command line option ``--nolock``, you can disable this mechanism on your own risk. With ``--unlock``, you can be remove a stale lock. Stale locks can appear if your machine is powered off with a running Snakemake instance. Snakemake does not trigger re-runs if I add additional input files. What can I do? ---------------------------------------------------------------------------------- Snakemake has a kind of "lazy" policy about added input files if their modification date is older than that of the output files. One reason is that information what to do cannot be inferred just from the input and output files. You need additional information about the last run to be stored. Since behaviour would be inconsistent between cases where that information is available and where it is not, this functionality has been encoded as an extra switch. To trigger updates for jobs with changed input files, you can use the command line argument --list-input-changes in the following way: .. code-block:: console $ snakemake -n -R `snakemake --list-input-changes` Here, ``snakemake --list-input-changes`` returns the list of output files with changed input files, which is fed into ``-R`` to trigger a re-run. How do I trigger re-runs for rules with updated code or parameters? ------------------------------------------------------------------- Similar to the solution above, you can use .. code-block:: console $ snakemake -n -R `snakemake --list-params-changes` and .. code-block:: console $ snakemake -n -R `snakemake --list-code-changes` Again, the list commands in backticks return the list of output files with changes, which are fed into ``-R`` to trigger a re-run. How do I remove all files created by snakemake, i.e. like ``make clean`` ------------------------------------------------------------------------ To remove all files created by snakemake as output files to start from scratch, you can use .. code-block:: console $ snakemake some_target --delete-all-output Only files that are output of snakemake rules will be removed, not those that serve as primary inputs to the workflow. Note that this will only affect the files involved in reaching the specified target(s). It is strongly advised to first run together with ``--dry-run`` to list the files that would be removed without actually deleting anything. The flag ``--delete-temp-output`` can be used in a similar manner to only delete files flagged as temporary. Why can't I use the conda directive with a run block? ----------------------------------------------------- The run block of a rule (see :ref:`snakefiles-rules`) has access to anything defined in the Snakefile, outside of the rule. Hence, it has to share the conda environment with the main Snakemake process. To avoid confusion we therefore disallow the conda directive together with the run block. It is recommended to use the script directive instead (see :ref:`snakefiles-external_scripts`). My workflow is very large, how do I stop Snakemake from printing all this rule/job information in a dry-run? ------------------------------------------------------------------------------------------------------------ Indeed, the information for each individual job can slow down a dry-run if there are tens of thousands of jobs. If you are just interested in the final summary, you can use the ``--quiet`` flag to suppress this. .. code-block:: console $ snakemake -n --quiet Git is messing up the modification times of my input files, what can I do? -------------------------------------------------------------------------- When you checkout a git repository, the modification times of updated files are set to the time of the checkout. If you rely on these files as input **and** output files in your workflow, this can cause trouble. For example, Snakemake could think that a certain (git-tracked) output has to be re-executed, just because its input has been checked out a bit later. In such cases, it is advisable to set the file modification dates to the last commit date after an update has been pulled. One solution is to add the following lines to your ``.bashrc`` (or similar): .. code-block:: bash gitmtim(){ local f for f; do touch -d @0`git log --pretty=%at -n1 -- "$f"` "$f" done } gitmodtimes(){ for f in $(git ls-tree -r $(git rev-parse --abbrev-ref HEAD) --name-only); do gitmtim $f done } (inspired by the answer `here `_). You can then run ``gitmodtimes`` to update the modification times of all tracked files on the current branch to their last commit time in git; BE CAREFUL--this does not account for local changes that have not been commited. How do I exit a running Snakemake workflow? ------------------------------------------- There are two ways to exit a currently running workflow. 1. If you want to kill all running jobs, hit Ctrl+C. Note that when using ``--cluster``, this will only cancel the main Snakemake process. 2. If you want to stop the scheduling of new jobs and wait for all running jobs to be finished, you can send a TERM signal, e.g., via .. code-block:: bash killall -TERM snakemake How can I make use of node-local storage when running cluster jobs? ------------------------------------------------------------------- When running jobs on a cluster you might want to make use of a node-local scratch directory in order to reduce cluster network traffic and/or get more efficient disk storage for temporary files. There is currently no way of doing this in Snakemake, but a possible workaround involves the ``shadow`` directive and setting the ``--shadow-prefix`` flag to e.g. ``/scratch``. .. code-block:: python rule: output: "some_summary_statistics.txt" shadow: "minimal" shell: """ generate huge_file.csv summarize huge_file.csv > {output} """ The following would then lead to the job being executed in ``/scratch/shadow/some_unique_hash/``, and the temporary file ``huge_file.csv`` could be kept at the compute node. .. code-block:: console $ snakemake --shadow-prefix /scratch some_summary_statistics.txt --cluster ... If you want the input files of your rule to be copied to the node-local scratch directory instead of just using symbolic links, you can use ``copy-minimal`` in the ``shadow`` directive. This is useful for example for benchmarking tools as a black-box. .. code-block:: python rule: input: "input_file.txt" output: file = "output_file.txt", benchmark = "benchmark_results.txt", shadow: "copy-minimal" shell: """ /usr/bin/time -v command "{input}" "{output.file}" > "{output.benchmark}" """ Executing snakemake as above then leads to the shell script accessing only node-local storage. How do I access elements of input or output by a variable index? ---------------------------------------------------------------- Assuming you have something like the following rule .. code-block:: python rule a: output: expand("test.{i}.out", i=range(20)) run: for i in range(20): shell("echo test > {output[i]}") Snakemake will fail upon execution with the error ``'OutputFiles' object has no attribute 'i'``. The reason is that the shell command is using the `Python format mini language `_, which does only allow indexing via constants, e.g., ``output[1]``, but not via variables. Variables are treated as attribute names instead. The solution is to write .. code-block:: python rule a: output: expand("test.{i}.out", i=range(20)) run: for i in range(20): f = output[i] shell("echo test > {f}") or, more concise in this special case: .. code-block:: python rule a: output: expand("test.{i}.out", i=range(20)) run: for f in output: shell("echo test > {f}") There is a compiler error when installing Snakemake with pip or easy_install, what shall I do? ---------------------------------------------------------------------------------------------- Snakemake itself is plain Python, hence the compiler error must come from one of the dependencies, like e.g., datrie. You should have a look if maybe you are missing some library or a certain compiler package. If everything seems fine, please report to the upstream developers of the failing dependency. Note that in general it is recommended to install Snakemake via `Conda `_ which gives you precompiled packages and the additional benefit of having :ref:`automatic software deployment ` integrated into your workflow execution. How to enable autocompletion for the zsh shell? ----------------------------------------------- For users of the `Z shell `_ (zsh), just run the following (assuming an activated zsh) to activate autocompletion for snakemake: .. code-block:: console compdef _gnu_generic snakemake Example: Say you have forgotten how to use the various options starting ``force``, just type the partial match i.e. ``--force`` which results in a list of all potential hits along with a description: .. code-block:: console $snakemake --force**pressing tab** --force -- Force the execution of the selected target or the --force-use-threads -- Force threads rather than processes. Helpful if shared --forceall -- Force the execution of the selected (or the first) --forcerun -- (TARGET (TARGET ...)), -R (TARGET (TARGET ...)) 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3»¸#VGà᪛÷Òåà“@?6³V©Ê€™½€×ñAÒ¶¸#µ]/^òy`œ™½Ø‹×èqÌ !Ÿ ž¯ ì lJ­ÜwO2 þ?Ñ™Z`ª`%Iˆ•Ž¡e¹Íh,éŽÄ§\’v±™½+ ‡â²²‹J}ÖÀgÏö]‘dÖÊuEÈUwúæ—§ÖÖ,çq„MªçŒÁâÒr»¤G›ÙÿíÀõfvÐʼ–î"¯IqžSî$~ÏÌ&t|TÒ,ÄwãøCw(^äï`3»µ¡†%I’$@: I²Z i8¾l~^©mppSYƶÕô"¦=^ÓºUÇ­¯½®Ñ¿S4ýø3»§/®Ÿ¬áŸü3°¾úvp¦•êe$I’$%$I’NˆUœÃp¥¯å ÿ¸Äï­™[Ðx"a÷\]m0®58ËÌ^j¤mI’$I{ÒI’$é6÷y\Vx·h~—…kMXÅxuGÒ†À©xÎÓÚÀb\úìT‚J’$i^ÒI’$YA$Ä‘OFÓ xÎÈÕföFà {ºöÿŠ×£,“Ï5³™´-I’$éšt@’$IVIÑŒ¦E¸âؼÞIÞ`{ˆPú . p(®ö¶ø p~_å%I’$«N: I’$«ˆ¤ñüƒÃñðU‘+€+Íìå™ÖÒ„bÚÞÀx}–¡±k>^³å¢z•î“$I’æ&$I’BÒÚø@ù«øÀYx±§{ñU‘qÝ•4~/#i|¥ã0`Ãh~¸¯ƒsKYn:I’$i-ÒI’$é¢:ïQÀ(`³h^ŒÃÒwæì}’vÂŽÃi+ºö.p7îtüÚÌ4ƺ$I’¤'I$I’¤ õ¬}ðU‘ƒA±k)0¸=~{¯åŒDõâ#pÇ£¨`¼ ¸ ü*s;’$IV?ÒI’$é#"Dk`?`_ * `Invited talk by Johannes Köster at the Broad Institute, Boston 2015. `_ * `Introduction to Snakemake. Tutorial Slides presented by Johannes Köster at the GCB 2015, Dortmund, Germany. `_ * `Invited talk by Johannes Köster at the DTL Focus Meeting: "NGS Production Pipelines", Dutch Techcentre for Life Sciences, Utrecht 2014. `_ * `Taming Snakemake by Jeremy Leipzig, Bioinformatics software developer at Children's Hospital of Philadelphia, 2014. `_ * `"Snakemake makes ... snakes?" - An Introduction by Marcel Martin from SciLifeLab, Stockholm 2015 `_ * `"Workflow Management with Snakemake" by Johannes Köster, 2015. Held at the Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute `_ .. _project_info-external_resources: ------------------ External Resources ------------------ These resources are not part of the official documentation. * `A number of tutorials on the subject "Tools for reproducible research" `_ * `Snakemake workflow used for the Kallisto paper `_ * `An alternative tutorial for Snakemake `_ * `An Emacs mode for Snakemake `_ * `Flexible bioinformatics pipelines with Snakemake `_ * `Sandwiches with Snakemake `_ * `A visualization of the past years of Snakemake development `_ * `Japanese version of the Snakemake tutorial `_ * `Basic `_ and `advanced `_ french Snakemake tutorial. * `Mini tutorial on Snakemake and Bioconda `_ * `Snakeparse: a utility to expose Snakemake workflow configuation via a command line interface `_ snakemake-6.15.1/docs/requirements.txt000066400000000000000000000001561417574166400200000ustar00rootroot00000000000000sphinx >=3 sphinxcontrib-napoleon sphinx-argparse sphinx_rtd_theme docutils myst-parser configargparse appdirssnakemake-6.15.1/docs/snakefiles/000077500000000000000000000000001417574166400166365ustar00rootroot00000000000000snakemake-6.15.1/docs/snakefiles/best_practices.rst000066400000000000000000000067611417574166400223740ustar00rootroot00000000000000.. _snakefiles-best_practices: ============== Best practices ============== * Snakemake (>=5.11) comes with a code quality checker (a so called linter), that analyzes your workflow and highlights issues that should be solved in order to follow best practices, achieve maximum readability, and reproducibility. The linter can be invoked with .. code-block:: bash snakemake --lint given that a ``Snakefile`` or ``workflow/Snakefile`` is accessible from your working directory. It is **highly recommended** to run the linter before publishing any workflow, asking questions on Stack Overflow or filing issues on Github. * There is an automatic formatter for Snakemake workflows, called `Snakefmt `_, which should be applied to any Snakemake workflow before publishing it. * When publishing your workflow in a `Github `_ repository, it is a good idea to add some minimal test data and configure `Github Actions `_ for continuously testing the workflow on each new commit. For this purpose, we provide predefined Github actions for both running tests and linting `here `_, as well as formatting `here `_. * For publishing and distributing a Snakemake workflow, it is a good idea to stick to a :ref:`standardized structure ` that is expected by frequent users of Snakemake. The `Snakemake workflow catalog `_ automatically lists Snakemake workflows hosted on `Github `_ if they follow certain `rules `_. By complying to these `rules `_ you can make your workflow more discoverable and even automate its usage documentation (see `"Standardized usage" `_). * Configuration of a workflow should be handled via :ref:`config files ` and, if needed, tabular configuration like sample sheets (either via :ref:`Pandas ` or :ref:`PEPs `). Use such configuration for metadata and experiement information, **not for runtime specific configuration** like threads, resources and output folders. For those, just rely on Snakemake's CLI arguments like ``--set-threads``, ``--set-resources``, ``--set-default-resources``, and ``--directory``. This makes workflows more readable, scalable, and portable. * Try to keep filenames short (thus easier on the eye), but informative. Avoid mixing of too many special characters (e.g. decide whether to use ``_`` or ``-`` as a separator and do that consistently throughout the workflow). * Try to keep Python code like helper functions separate from rules (e.g. in a ``workflow/rules/common.smk`` file). This way, you help non-experts to read the workflow without needing to parse internals that are irrelevant for them. The helper function names should be chosen in a way that makes them sufficiently informative without looking at their content. Also avoid ``lambda`` expressions inside of rules. * Make use of `Snakemake wrappers `_ whenever possible. Consider contributing to the wrapper repo whenever you have a rule that reoccurs in at least two of your workflows.snakemake-6.15.1/docs/snakefiles/configuration.rst000066400000000000000000000306461417574166400222500ustar00rootroot00000000000000.. _snakefiles_configuration: ============= Configuration ============= Snakemake allows you to use configuration files for making your workflows more flexible and also for abstracting away direct dependencies to a fixed HPC cluster scheduler. .. _snakefiles_standard_configuration: ---------------------- Standard Configuration ---------------------- Snakemake directly supports the configuration of your workflow. A configuration is provided as a JSON or YAML file and can be loaded with: .. code-block:: python configfile: "path/to/config.yaml" The config file can be used to define a dictionary of configuration parameters and their values. In the workflow, the configuration is accessible via the global variable `config`, e.g. .. code-block:: python rule all: input: expand("{sample}.{param}.output.pdf", sample=config["samples"], param=config["yourparam"]) If the `configfile` statement is not used, the config variable provides an empty array. In addition to the `configfile` statement, config values can be overwritten via the command line or the :ref:`api_reference_snakemake`, e.g.: .. code-block:: console $ snakemake --config yourparam=1.5 Further, you can manually alter the config dictionary using any Python code **outside** of your rules. Changes made from within a rule won't be seen from other rules. Finally, you can use the ``--configfile`` command line argument to overwrite values from the `configfile` statement. Note that any values parsed into the ``config`` dictionary with any of above mechanisms are merged, i.e., all keys defined via a ``configfile`` statement, or the ``--configfile`` and ``--config`` command line arguments will end up in the final `config` dictionary, but if two methods define the same key, command line overwrites the ``configfile`` statement. For adding config placeholders into a shell command, Python string formatting syntax requires you to leave out the quotes around the key name, like so: .. code-block:: python shell: "mycommand {config[foo]} ..." .. _snakefiles_tabular_configuration --------------------- Tabular configuration --------------------- It is usually advisable to complement YAML based configuration (see above) by a sheet based approach for meta-data that is of tabular form. For example, such a sheet can contain per-sample information. With the `Pandas library `_ such data can be read and used with minimal overhead, e.g., .. code-block:: python import pandas as pd samples = pd.read_table("samples.tsv").set_index("samples", drop=False) reads in a table ``samples.tsv`` in TSV format and makes every record accessible by the sample name. For details, see the `Pandas documentation `_. A fully working real-world example containing both types of configuration can be found `here `_. --------------------- Environment variables --------------------- Sometimes, it is not desirable to put configuration information into text files. For example, this holds for secrets like access tokens or passwords. Here, `environment variables `_ are the method of choice. Snakemake allows to assert the existence of environment variables by adding a statement like: .. code-block:: python envvars: "SOME_VARIABLE", "SOME_OTHER_VARIABLE" When executing, Snakemake will fail with a reasonable error message if the variables ``SOME_VARIABLE`` and ``SOME_OTHER_VARIABLE`` are undefined. Otherwise, it will take care of passing them to cluster and cloud environments. However, note that this does **not** mean that Snakemake makes them available e.g. in the jobs shell command. Instead, for data provenance and reproducibility reasons, you are required to pass them explicitly to your job via the params directive, e.g. like this: .. code-block:: python envvars: "SOME_VARIABLE" rule do_something: output: "test.txt" params: x=os.environ["SOME_VARIABLE"] shell: "echo {params.x} > {output}" .. _snakefiles_config_validation: ---------- Validation ---------- With Snakemake 5.1, it is possible to validate both types of configuration via `JSON schemas `_. The function ``snakemake.utils.validate`` takes a loaded configuration (a config dictionary or a Pandas data frame) and validates it with a given JSON schema. Thereby, the schema can be provided in JSON or YAML format. Also, by using the defaults property it is possible to populate entries with default values. See `jsonschema FAQ on setting default values `_ for details. In case of the data frame, the schema should model the record that is expected in each row of the data frame. In the following example, .. code-block:: python import pandas as pd from snakemake.utils import validate configfile: "config.yaml" validate(config, "config.schema.yaml") samples = pd.read_table(config["samples"]).set_index("sample", drop=False) validate(samples, "samples.schema.yaml") rule all: input: expand("test.{sample}.txt", sample=samples.index) rule a: output: "test.{sample}.txt" shell: "touch {output}" the schema for validating the samples data frame looks like this: .. code-block:: yaml $schema: "https://json-schema.org/draft-06/schema#" description: an entry in the sample sheet properties: sample: type: string description: sample name/identifier condition: type: string description: sample condition that will be compared during differential expression analysis (e.g. a treatment, a tissue time, a disease) case: type: boolean default: true description: boolean that indicates if sample is case or control required: - sample - condition Here, in case the case column is missing, the validate function will populate it with True for all entries. .. _snakefiles-peps: ------------------------------------------- Configuring scientific experiments via PEPs ------------------------------------------- Often scientific experiments consist of a set of samples (with optional subsamples), for which raw data and metainformation is known. Instead of writing custom sample sheets as shown above, Snakemake allows to use `portable encapsulated project (PEP) `_ definitions to configure a workflow. This is done via a special directive `pepfile`, that can optionally complemented by a schema for validation (which is recommended for production workflows): .. code-block:: python pepfile: "pep/config.yaml" pepschema: "schemas/pep.yaml" rule all: input: expand("{sample}.txt", sample=pep.sample_table["sample_name"]) rule a: output: "{sample}.txt" shell: "touch {output}" Using the ``pepfile`` directive leads to parsing of the provided PEP with `peppy `_. The resulting project object is made globally available under the name ``pep``. Here, we use it to aggregate over the set of sample names that is defined in the corresponding PEP. **Importantly**, note that PEPs are meant to contain sample metadata and any global information about a project or experiment. They should **not** be used to encode workflow specific configuration options. For those, one should always complement the pepfile with an ordinary :ref:`config file `. The rationale is that PEPs should be portable between different data analysis workflows (that could be applied to the same data) and even between workflow management systems. In other words, a PEP should describe everything needed about the data, while a workflow and its configuration should describe everything needed about the analysis that is applied to it. ^^^^^^^^^^^^^^^ Validating PEPs ^^^^^^^^^^^^^^^ Using the ``pepschema`` directive leads to an automatic parsing of the provided schema *and* PEP validation with the PEP validation tool -- `eido `_. Eido schemas extend `JSON Schema `_ vocabulary to accommodate the powerful PEP features. Follow the `How to write a PEP schema `_ guide to learn more. .. _snakefiles-cluster_configuration: ---------------------------------- Cluster Configuration (deprecated) ---------------------------------- While still being possible, **cluster configuration has been deprecated** by the introduction of :ref:`profiles`. Snakemake supports a separate configuration file for execution on a cluster. A cluster config file allows you to specify cluster submission parameters outside the Snakefile. The cluster config is a JSON- or YAML-formatted file that contains objects that match names of rules in the Snakefile. The parameters in the cluster config are then accessed by the ``cluster.*`` wildcard when you are submitting jobs. Note that a workflow shall never depend on a cluster configuration, because this would limit its portability. Therefore, it is also not intended to access the cluster configuration from **within** the workflow. For example, say that you have the following Snakefile: .. code-block:: python rule all: input: "input1.txt", "input2.txt" rule compute1: output: "input1.txt" shell: "touch input1.txt" rule compute2: output: "input2.txt" shell: "touch input2.txt" This Snakefile can then be configured by a corresponding cluster config, say "cluster.json": .. code-block:: json { "__default__" : { "account" : "my account", "time" : "00:15:00", "n" : 1, "partition" : "core" }, "compute1" : { "time" : "00:20:00" } } Any string in the cluster configuration can be formatted in the same way as shell commands, e.g. ``{rule}.{wildcards.sample}`` is formatted to ``a.xy`` if the rulename is ``a`` and the wildcard value is ``xy``. Here ``__default__`` is a special object that specifies default parameters, these will be inherited by the other configuration objects. The ``compute1`` object here changes the ``time`` parameter, but keeps the other parameters from ``__default__``. The rule ``compute2`` does not have any configuration, and will therefore use the default configuration. You can then run the Snakefile with the following command on a SLURM system. .. code-block:: console $ snakemake -j 999 --cluster-config cluster.json --cluster "sbatch -A {cluster.account} -p {cluster.partition} -n {cluster.n} -t {cluster.time}" For cluster systems using LSF/BSUB, a cluster config may look like this: .. code-block:: json { "__default__" : { "queue" : "medium_priority", "nCPUs" : "16", "memory" : 20000, "resources" : "\"select[mem>20000] rusage[mem=20000] span[hosts=1]\"", "name" : "JOBNAME.{rule}.{wildcards}", "output" : "logs/cluster/{rule}.{wildcards}.out", "error" : "logs/cluster/{rule}.{wildcards}.err" }, "trimming_PE" : { "memory" : 30000, "resources" : "\"select[mem>30000] rusage[mem=30000] span[hosts=1]\"", } } The advantage of this setup is that it is already pretty general by exploiting the wildcard possibilities that Snakemake provides via ``{rule}`` and ``{wildcards}``. So job names, output and error files all have reasonable and trackable default names, only the directies (``logs/cluster``) and job names (``JOBNAME``) have to adjusted accordingly. If a rule named ``bamCoverage`` is executed with the wildcard ``basename = sample1``, for example, the output and error files will be ``bamCoverage.basename=sample1.out`` and ``bamCoverage.basename=sample1.err``, respectively. --------------------------- Configure Working Directory --------------------------- All paths in the snakefile are interpreted relative to the directory snakemake is executed in. This behaviour can be overridden by specifying a workdir in the snakefile: .. code-block:: python workdir: "path/to/workdir" Usually, it is preferred to only set the working directory via the command line, because above directive limits the portability of Snakemake workflows. snakemake-6.15.1/docs/snakefiles/deployment.rst000066400000000000000000000645611417574166400215640ustar00rootroot00000000000000.. _distribution_and_reproducibility: ================================ Distribution and Reproducibility ================================ It is recommended to store each workflow in a dedicated git repository of the following structure: .. code-block:: none ├── .gitignore ├── README.md ├── LICENSE.md ├── workflow │ ├── rules | │ ├── module1.smk | │ └── module2.smk │ ├── envs | │ ├── tool1.yaml | │ └── tool2.yaml │ ├── scripts | │ ├── script1.py | │ └── script2.R │ ├── notebooks | │ ├── notebook1.py.ipynb | │ └── notebook2.r.ipynb │ ├── report | │ ├── plot1.rst | │ └── plot2.rst | └── Snakefile ├── config │ ├── config.yaml │ └── some-sheet.tsv ├── results └── resources In other words, the workflow code goes into a subfolder ``workflow``, while the configuration is stored in a subfolder ``config``. Inside of the ``workflow`` subfolder, the central ``Snakefile`` marks the entrypoint of the workflow (it will be automatically discovered when running snakemake from the root of above structure. In addition to the central ``Snakefile``, rules can be stored in a modular way, using the optional subfolder ``workflow/rules``. Such modules should end with ``.smk`` the recommended file extension of Snakemake. Further, :ref:`scripts ` should be stored in a subfolder ``workflow/scripts`` and notebooks in a subfolder ``workflow/notebooks``. Conda environments (see :ref:`integrated_package_management`) should be stored in a subfolder ``workflow/envs`` (make sure to keep them as finegrained as possible to improve transparency and maintainability). Finally, :ref:`report caption files ` should be stored in ``workflow/report``. All output files generated in the workflow should be stored under ``results``, unless they are rather retrieved resources, in which case they should be stored under ``resources``. The latter subfolder may also contain small resources that shall be delivered along with the workflow via git (although it might be tempting, please refrain from trying to generate output file paths with string concatenation of a central ``outdir`` variable or so, as this hampers readability). Workflows setup in above structure can be easily used and combined via :ref:`the Snakemake module system `. Such deployment can even be automated via `Snakedeploy `_. Moreover, by publishing a workflow on `Github `_ and following a set of additional `rules `_ the workflow will be automatically included in the `Snakemake workflow catalog `_, thereby easing discovery and even automating its usage documentation. For an example of such automated documentation, see `here `_. Visit the `Snakemake Workflows Project `_ for more best-practice workflows. .. _use_with_modules: ----------------------------------------- Using and combining pre-exising workflows ----------------------------------------- Via the :ref:`module/use ` system introduced with Snakemake 6.0, it is very easy to deploy existing workflows for new projects. This ranges from the simple application to new data to the complex combination of several complementary workflows in order to perfom an integrated analysis over multiple data types. Consider the following example: .. code-block:: python from snakemake.utils import min_version min_version("6.0") configfile: "config/config.yaml" module dna_seq: snakefile: # here, it is also possible to provide a plain raw URL like "https://github.com/snakemake-workflows/dna-seq-gatk-variant-calling/raw/v2.0.1/workflow/Snakefile" github("snakemake-workflows/dna-seq-gatk-variant-calling", path="workflow/Snakefile", tag="v2.0.1") config: config use rule * from dna_seq First, we load a local configuration file. Next, we define the module ``dna_seq`` to be loaded from the URL ``https://github.com/snakemake-workflows/dna-seq-gatk-variant-calling/raw/v2.0.1/workflow/Snakefile``, while using the contents of the local configuration file. Note that it is possible to either specify the full URL pointing to the raw Snakefile as a string or to use the github marker as done here. With the latter, Snakemake can however cache the used source files persistently (if a tag is given), such that they don't have to be downloaded on each invocation. Finally we declare all rules of the dna_seq module to be used. This kind of deployment is equivalent to just cloning the original repository and modifying the configuration in it. However, the advantage here is that we are (a) able to easily extend of modify the workflow, while making the changes transparent, and (b) we can store this workflow in a separate (e.g. private) git repository, along with for example configuration and meta data, without the need to duplicate the workflow code. Finally, we are always able to later combine another module into the current workflow, e.g. when further kinds of analyses are needed. The ability to modify rules upon using them (see :ref:`snakefiles-modules`) allows for arbitrary rewiring and configuration of the combined modules. For example, we can easily add another rule to extend the given workflow: .. code-block:: python from snakemake.utils import min_version min_version("6.0") configfile: "config/config.yaml" module dna_seq: snakefile: # here, it is also possible to provide a plain raw URL like "https://github.com/snakemake-workflows/dna-seq-gatk-variant-calling/raw/v2.0.1/workflow/Snakefile" github("snakemake-workflows/dna-seq-gatk-variant-calling", path="workflow/Snakefile", tag="v2.0.1") config: config use rule * from dna_seq as dna_seq_* # easily extend the workflow rule plot_vafs: input: "filtered/all.vcf.gz" output: "results/plots/vafs.svg" notebook: "notebooks/plot-vafs.py.ipynb" # Define a new default target that collects both the targets from the dna_seq module as well as # the new plot. rule all: input: rules.dna_seq_all.input, "results/plots/vafs.svg", default_target: True Above, we have added a prefix to all rule names of the dna_seq module, such that there is no name clash with the added rules (``as dna_seq_*`` in the ``use rule`` statement). In addition, we have added a new rule ``all``, defining the default target in case the workflow is executed (as usually) without any specific target files or rule. The new target rule collects both all input files of the rule ``all`` from the dna_seq workflow, as well as additionally collecting the new plot. It is possible to further extend the workflow with other modules, thereby generating an integrative analysis. Here, let us assume that we want to conduct another kind of analysis, say RNA-seq, using a different external workflow. We can extend above example in the following way: .. code-block:: python from snakemake.utils import min_version min_version("6.0") configfile: "config/config.yaml" module dna_seq: snakefile: github("snakemake-workflows/dna-seq-gatk-variant-calling", path="workflow/Snakefile", tag="v2.0.1") config: config["dna-seq"] prefix: "dna-seq" use rule * from dna_seq as dna_seq_* rule plot_vafs: input: "filtered/all.vcf.gz" output: "results/plots/vafs.svg" notebook: "notebooks/plot-vafs.py.ipynb" module rna_seq: snakefile: github("snakemake-workflows/rna-seq-kallisto-sleuth", path="workflow/Snakefile", tag="v2.0.1") config: config["rna-seq"] prefix: "rna-seq" use rule * from rna_seq as rna_seq_* # Define a new default target that collects all the targets from the dna_seq and rna_seq module. rule all: input: rules.dna_seq_all.input, rules.rna_seq_all.input, default_target: True Above, several things have changed. * First, we have added another module ``rna_seq``. * Second, we have added a prefix to all non-absolute input and output file names of both modules (``prefix: "dna-seq"`` and ``prefix: "rna-seq"``) in order to avoid file name clashes. * Third, we have added a default target rule that collects both the default targets from the module ``dna_seq`` as well as the module ``rna_seq``. * Finally, we provide the config of the two modules via two separate sections in the common config file (``config["dna-seq"]`` and ``config["rna-seq"]``). ---------------------------------- Uploading workflows to WorkflowHub ---------------------------------- In order to share a workflow with the scientific community it is advised to upload the repository to `WorkflowHub `_, where each submission will be automatically parsed and encapsulated into a `Research Object Crate `_. That way a *snakemake* workflow is annotated with proper metatada and thus complies with the `FAIR `_ principles of scientific data. To adhere to the high WorkflowHub standards of scientific workflows the recommended *snakemake* repository structure presented above needs to be extended by the following elements: - Code of Conduct - Contribution instructions - Workflow rule graph - Workflow documentation - Test directory A code of conduct for the repository developers as well as instruction on how to contribute to the project should be placed in the top-level files: ``CODE_OF_CONDUCT.md`` and ``CONTRIBUTING.md``, respectively. Each *snakemake* workflow repository needs to contain an SVG-formatted rule graph placed in a subdirectory ``images/rulegraph.svg``. Additionally, the workflow should be annotated with a technical documentation of all of its subsequent steps, described in ``workflow/documentation.md``. Finally, the repository should contain a ``.tests`` directory with two subdirectories: ``.tests/integration`` and ``.tests/unit``. The former has to contain all the input data, configuration specifications and shell commands required to run an integration test of the whole workflow. The latter shall contain subdirectories dedicated to testing each of the separate workflow steps independently. To simplify the testing procedure *snakemake* can automatically generate unit tests from a successful workflow execution (see :ref:`snakefiles-testing`). Therefore, the repository structure should comply with: .. code-block:: none ├── .gitignore ├── README.md ├── LICENSE.md ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── .tests │ ├── integration │ └── unit ├── images │ └── rulegraph.svg ├── workflow │ ├── rules | │ ├── module1.smk | │ └── module2.smk │ ├── envs | │ ├── tool1.yaml | │ └── tool2.yaml │ ├── scripts | │ ├── script1.py | │ └── script2.R │ ├── notebooks | │ ├── notebook1.py.ipynb | │ └── notebook2.r.ipynb │ ├── report | │ ├── plot1.rst | │ └── plot2.rst │ ├── Snakefile | └── documentation.md ├── config │ ├── config.yaml │ └── some-sheet.tsv ├── results └── resources .. _integrated_package_management: ----------------------------- Integrated Package Management ----------------------------- With Snakemake 3.9.0 it is possible to define isolated software environments per rule. Upon execution of a workflow, the `Conda package manager `_ is used to obtain and deploy the defined software packages in the specified versions. Packages will be installed into your working directory, without requiring any admin/root priviledges. Given that conda is available on your system (see `Miniconda `_), to use the Conda integration, add the ``--use-conda`` flag to your workflow execution command, e.g. ``snakemake --cores 8 --use-conda``. When ``--use-conda`` is activated, Snakemake will automatically create software environments for any used wrapper (see :ref:`snakefiles-wrappers`). Further, you can manually define environments via the ``conda`` directive, e.g.: .. code-block:: python rule NAME: input: "table.txt" output: "plots/myplot.pdf" conda: "envs/ggplot.yaml" script: "scripts/plot-stuff.R" with the following `environment definition `_: .. code-block:: yaml channels: - r dependencies: - r=3.3.1 - r-ggplot2=2.1.0 The path to the environment definition is interpreted as **relative to the Snakefile that contains the rule** (unless it is an absolute path, which is discouraged). Instead of using a concrete path, it is also possible to provide a path containing wildcards (which must also occur in the output files of the rule), analogous to the specification of input files. .. sidebar:: Note Note that conda environments are only used with ``shell``, ``script`` and the ``wrapper`` directive, not the ``run`` directive. The reason is that the ``run`` directive has access to the rest of the Snakefile (e.g. globally defined variables) and therefore must be executed in the same process as Snakemake itself. Further, note that search path modifying environment variables like ``R_LIBS`` and ``PYTHONPATH`` can interfere with your conda environments. Therefore, Snakemake automatically deactivates them for a job when a conda environment definition is used. If you know what you are doing, in order to deactivate this behavior, you can use the flag ``--conda-not-block-search-path-envvars``. Snakemake will store the environment persistently in ``.snakemake/conda/$hash`` with ``$hash`` being the MD5 hash of the environment definition file content. This way, updates to the environment definition are automatically detected. Note that you need to clean up environments manually for now. However, in many cases they are lightweight and consist of symlinks to your central conda installation. Conda deployment also works well for offline or air-gapped environments. Running ``snakemake --use-conda --conda-create-envs-only`` will only install the required conda environments without running the full workflow. Subsequent runs with ``--use-conda`` will make use of the local environments without requiring internet access. .. _conda_named_env: Using already existing named conda environments ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Sometimes it can be handy to refer to an already existing named conda environment from a rule, instead of defining a new one from scratch. Importantly, one should be aware that this can **hamper reproducibility**, because the workflow then relies on this environment to be present **in exactly the same way** on any new system where the workflow is executed. Essentially, you will have to take care of this manually in such a case. Therefore, the approach using environment definition files described above is highly recommended and preferred. Nevertheless, in case you are still sure that you want to use an existing named environment, it can simply be put into the conda directive, e.g. .. code-block:: python rule NAME: input: "table.txt" output: "plots/myplot.pdf" conda: "some-env-name" script: "scripts/plot-stuff.R" For such a rule, Snakemake will just activate the given environment, instead of automatically deploying anything. Instead of using a concrete name, it is also possible to provide a name containing wildcards (which must also occur in the output files of the rule), analogous to the specification of input files. Note that Snakemake distinguishes file based environments from named ones as follows: if the given specification ends on ``.yaml`` or ``.yml``, Snakemake assumes it to be a path to an environment definition file; otherwise, it assumes the given specification to be the name of an existing environment. .. _singularity: ------------------------- Providing post-deployment scripts ------------------------- From Snakemake 6.14 onwards post-deployment shell-scripts can be provided to perform additional adjustments of a conda environment. This might be helpful in case a conda package is missing components or requires further configuration for execution. Post-deployment scripts must be placed next to their corresponding environment-file and require the suffix ``.post-deploy.sh``, e.g.: .. code-block:: python rule NAME: input: "seqs.fastq" output: "results.tsv" conda: "envs/interproscan.yaml" shell: "interproscan.sh -i {input} -f tsv -o {output}" .. code-block:: none ├── Snakefile └── envs ├── interproscan.yaml └── interproscan.post-deploy.sh The path of the conda environment can be accessed within the script via ``$CONDA_PREFIX``. -------------------------- Running jobs in containers -------------------------- As an alternative to using Conda (see above), it is possible to define, for each rule, a (docker) container to use, e.g., .. code-block:: python rule NAME: input: "table.txt" output: "plots/myplot.pdf" container: "docker://joseespinosa/docker-r-ggplot2" script: "scripts/plot-stuff.R" When executing Snakemake with .. code-block:: bash snakemake --use-singularity it will execute the job within a container that is spawned from the given image. Allowed image urls entail everything supported by singularity (e.g., ``shub://`` and ``docker://``). However, ``docker://`` is preferred, as other container runtimes will be supported in the future (e.g. podman). .. sidebar:: Note Note that singularity integration is only used with ``shell``, ``script`` and the ``wrapper`` directive, not the ``run`` directive. The reason is that the ``run`` directive has access to the rest of the Snakefile (e.g. globally defined variables) and therefore must be executed in the same process as Snakemake itself. When ``--use-singularity`` is combined with ``--kubernetes`` (see :ref:`kubernetes`), cloud jobs will be automatically configured to run in priviledged mode, because this is a current requirement of the singularity executable. Importantly, those privileges won't be shared by the actual code that is executed in the singularity container though. A global definition of a container image can be given: .. code-block:: python container: "docker://joseespinosa/docker-r-ggplot2" rule NAME: ... In this case all jobs will be executed in a container. You can disable execution in container by setting the container directive of the rule to ``None``. .. code-block:: python container: "docker://joseespinosa/docker-r-ggplot2" rule NAME: container: None ----------------------------------------- Containerization of Conda based workflows ----------------------------------------- While :ref:`integrated_package_management` provides control over the used software in exactly the desired versions, it does not control the underlying operating system. However, given a workflow with conda environments for each rule, Snakemake can automatically generate a container image specification (in the form of a ``Dockerfile``) that contains all required environments via the flag --containerize: .. code-block:: bash snakemake --containerize > Dockerfile The container image specification generated by Snakemake aims to be transparent and readable, e.g. by displaying each contained environment in a human readable way. Via the special directive ``containerized`` this container image can be used in the workflow (both globally or per rule) such that no further conda package downloads are necessary, for example: .. code-block:: python containerized: "docker://username/myworkflow:1.0.0" rule NAME: input: "table.txt" output: "plots/myplot.pdf" conda: "envs/ggplot.yaml" script: "scripts/plot-stuff.R" Using the containerization of Snakemake has three advantages over manually crafting a container image for a workflow: 1. A workflow with conda environment definitions is much more transparent to the reader than a black box container image, as each rule directly shows which software stack is used. Containerization just persistently projects those environments into a container image. 2. It remains possible to run the workflow without containers, just via the conda environments. 3. During development, testing can first happen without the container and just on the conda environments. When releasing a production version of the workflow the image can be uploaded just once and for future stable releases, thereby limiting the overhead created in container registries. -------------------------------------------------------------- Ad-hoc combination of Conda package management with containers -------------------------------------------------------------- While :ref:`integrated_package_management` provides control over the used software in exactly the desired versions, it does not control the underlying operating system. Here, it becomes handy that Snakemake >=4.8.0 allows to combine Conda-based package management with :ref:`singularity`. For example, you can write .. code-block:: python container: "docker://continuumio/miniconda3:4.4.10" rule NAME: input: "table.txt" output: "plots/myplot.pdf" conda: "envs/ggplot.yaml" script: "scripts/plot-stuff.R" in other words, a global definition of a container image can be combined with a per-rule conda directive. Then, upon invocation with .. code-block:: bash snakemake --use-conda --use-singularity Snakemake will first pull the defined container image, and then create the requested conda environment from within the container. The conda environments will still be stored in your working environment, such that they don't have to be recreated unless they have changed. The hash under which the environments are stored includes the used container image url, such that changes to the container image also lead to new environments to be created. When a job is executed, Snakemake will first enter the container and then activate the conda environment. By this, both packages and OS can be easily controlled without the overhead of creating and distributing specialized container images. Of course, it is also possible (though less common) to define a container image per rule in this scenario. The user can, upon execution, freely choose the desired level of reproducibility: * no package management (use whatever is on the system) * Conda based package management (use versions defined by the workflow developer) * Conda based package management in containerized OS (use versions and OS defined by the workflow developer) ------------------------- Using environment modules ------------------------- In high performace cluster systems (HPC), it can be preferable to use environment modules for deployment of optimized versions of certain standard tools. Snakemake allows to define environment modules per rule: .. code-block:: python rule bwa: input: "genome.fa" "reads.fq" output: "mapped.bam" conda: "envs/bwa.yaml" envmodules: "bio/bwa/0.7.9", "bio/samtools/1.9" shell: "bwa mem {input} | samtools view -Sbh - > {output}" Here, when Snakemake is executed with ``snakemake --use-envmodules``, it will load the defined modules in the given order, instead of using the also defined conda environment. Note that although not mandatory, one should always provide either a conda environment or a container (see above), along with environment module definitions. The reason is that environment modules are often highly platform specific, and cannot be assumed to be available somewhere else, thereby limiting reproducibility. By definition an equivalent conda environment or container as a fallback, people outside of the HPC system where the workflow has been designed can still execute it, e.g. by running ``snakemake --use-conda`` instead of ``snakemake --use-envmodules``. -------------------------------------- Sustainable and reproducible archiving -------------------------------------- With Snakemake 3.10.0 it is possible to archive a workflow into a `tarball `_ (`.tar`, `.tar.gz`, `.tar.bz2`, `.tar.xz`), via .. code-block:: bash snakemake --archive my-workflow.tar.gz If above layout is followed, this will archive any code and config files that is under git version control. Further, all input files will be included into the archive. Finally, the software packages of each defined conda environment are included. This results in a self-contained workflow archive that can be re-executed on a vanilla machine that only has Conda and Snakemake installed via .. code-block:: bash tar -xf my-workflow.tar.gz snakemake -n Note that the archive is platform specific. For example, if created on Linux, it will run on any Linux newer than the minimum version that has been supported by the used Conda packages at the time of archiving (e.g. CentOS 6). A useful pattern when publishing data analyses is to create such an archive, upload it to `Zenodo `_ and thereby obtain a `DOI `_. Then, the DOI can be cited in manuscripts, and readers are able to download and reproduce the data analysis at any time in the future. snakemake-6.15.1/docs/snakefiles/foreign_wms.rst000066400000000000000000000031161417574166400217100ustar00rootroot00000000000000 .. _snakefiles-foreign-wms: =============================================== Integrating foreign workflow management systems =============================================== Snakemake 6.2 and later allows to hand over execution steps to other workflow management systems. By this, it is possible to make use of workflows written for other systems, while performing any further pre- or postprocessing within Snakemake. Such a handover is indicated with the ``handover`` directive. Consider the following example: .. code-block:: python rule chipseq_pipeline: input: input="design.csv", fasta="data/genome.fasta", gtf="data/genome.gtf", output: "multiqc/broadPeaks/multiqc_report.html", params: pipeline="nf-core/chipseq", revision="1.2.1", profile=["conda"], handover: True wrapper: "0.74.0/utils/nextflow" Here, the workflow is executed as usual until this rule is reached. Then, Snakemake passes all resources to the nextflow workflow management system, which generates certain files. The rule is executed as a :ref:`local rule `, meaning that it would not be submitted to a cluster or cloud system by Snakemake. Instead, the invoked other workflow management system is responsible for that. E.g., in case of `Nextflow `_, submission behavior can be configured via a ``nextflow.conf`` file or environment variables. 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The most fine-grained level are wrappers. They are available and can be published at the `Snakemake Wrapper Repository`_. These wrappers can then be composed and customized according to your needs, by copying skeleton rules into your workflow. In combination with conda integration, wrappers also automatically deploy the needed software dependencies into isolated environments. 2. For larger, reusable parts that shall be integrated into a common workflow, it is recommended to write small Snakefiles and include them into a main Snakefile via the include statement. In such a setup, all rules share a common config file. 3. The third level is provided via the :ref:`module statement `, which enables arbitrary combination and reuse of rules. 4. Finally, Snakemake provides a syntax for defining :ref:`subworkflows `, which is however deprecated in favor of the module statement. .. _snakefiles-wrappers: -------- Wrappers -------- The wrapper directive allows to have re-usable wrapper scripts around e.g. command line tools. In contrast to modularization strategies like ``include`` or subworkflows, the wrapper directive allows to re-wire the DAG of jobs. For example .. code-block:: python rule samtools_sort: input: "mapped/{sample}.bam" output: "mapped/{sample}.sorted.bam" params: "-m 4G" threads: 8 wrapper: "0.0.8/bio/samtools/sort" .. note:: It is possible to refer to wildcards and params in the wrapper identifier, e.g. by specifying ``"0.0.8/bio/{params.wrapper}"`` or ``"0.0.8/bio/{wildcards.wrapper}"``. Refers to the wrapper ``"0.0.8/bio/samtools/sort"`` to create the output from the input. Snakemake will automatically download the wrapper from the `Snakemake Wrapper Repository`_. Thereby, ``0.0.8`` can be replaced with the git `version tag `_ you want to use, or a `commit id `_. This ensures reproducibility since changes in the wrapper implementation will only be propagated to your workflow once you update the version tag. Examples for each wrapper can be found in the READMEs located in the wrapper subdirectories at the `Snakemake Wrapper Repository`_. Alternatively, for example during development, the wrapper directive can also point to full URLs, including URLs to local files with absolute paths ``file://`` or relative paths ``file:``. Such a URL will have to point to the folder containing the ``wrapper.*`` and ``environment.yaml`` files. In the above example, the full GitHub URL could for example be provided with ``wrapper: https://github.com/snakemake/snakemake-wrappers/raw/0.0.8/bio/samtools/sort``. Note that it needs to point to the ``/raw/`` version of the folder, not the rendered HTML version. In addition, the `Snakemake Wrapper Repository`_ offers so-called meta-wrappers, which can be used as modules, see :ref:`snakefiles-meta-wrappers`. The `Snakemake Wrapper Repository`_ is meant as a collaborative project and pull requests are very welcome. .. _cwl: -------------------------------------- Common-Workflow-Language (CWL) support -------------------------------------- With Snakemake 4.8.0, it is possible to refer to `CWL `_ tool definitions in rules instead of specifying a wrapper or a plain shell command. A CWL tool definition can be used as follows. .. code-block:: python rule samtools_sort: input: input="mapped/{sample}.bam" output: output_name="mapped/{sample}.sorted.bam" params: threads=lambda wildcards, threads: threads, memory="4G" threads: 8 cwl: "https://github.com/common-workflow-language/workflows/blob/" "fb406c95/tools/samtools-sort.cwl" .. note:: It is possible to refer to wildcards and params in the tool definition URL, e.g. by specifying something like ``"https://.../tools/{params.tool}.cwl"`` or ``"https://.../tools/{wildcards.tool}.cwl"``. It is advisable to use a github URL that includes the commit as above instead of a branch name, in order to ensure reproducible results. Snakemake will execute the rule by invoking `cwltool`, which has to be available via your `$PATH` variable, and can be, e.g., installed via `conda` or `pip`. When using in combination with :ref:`--use-singularity `, Snakemake will instruct `cwltool` to execute the command via Singularity in user space. Otherwise, `cwltool` will in most cases use a Docker container, which requires Docker to be set up properly. The advantage is that predefined tools available via any `repository of CWL tool definitions `_ can be used in any supporting workflow management system. In contrast to a :ref:`Snakemake wrapper `, CWL tool definitions are in general not suited to alter the behavior of a tool, e.g., by normalizing output names or special input handling. As you can see in comparison to the analog :ref:`wrapper declaration ` above, the rule becomes slightly more verbose, because input, output, and params have to be dispatched to the specific expectations of the CWL tool definition. .. _snakefiles-includes: -------- Includes -------- Another Snakefile with all its rules can be included into the current: .. code-block:: python include: "path/to/other/snakefile" The default target rule (often called the ``all``-rule), won't be affected by the include. I.e. it will always be the first rule in your Snakefile, no matter how many includes you have above your first rule. Includes are relative to the directory of the Snakefile in which they occur. For example, if above Snakefile resides in the directory ``my/dir``, then Snakemake will search for the include at ``my/dir/path/to/other/snakefile``, regardless of the working directory. .. _snakefiles-modules: ------- Modules ------- With Snakemake 6.0 and later, it is possible to define external workflows as modules, from which rules can be used by explicitly "importing" them. .. code-block:: python from snakemake.utils import min_version min_version("6.0") module other_workflow: snakefile: # here, plain paths, URLs and the special markers for code hosting providers (see below) are possible. "other_workflow/Snakefile" use rule * from other_workflow as other_* The ``module other_workflow:`` statement registers the external workflow as a module, by defining the path to the main snakefile of ``other_workflow``. Here, plain paths, HTTP/HTTPS URLs and special markers for code hosting providers like Github or Gitlab are possible (see :ref:`snakefile-code-hosting-providers`). The second statement, ``use rule * from other_workflow as other_*``, declares all rules of that module to be used in the current one. Thereby, the ``as other_*`` at the end renames all those rules with a common prefix. This can be handy to avoid rule name conflicts (note that rules from modules can otherwise overwrite rules from your current workflow or other modules). The module is evaluated in a separate namespace, and only the selected rules are added to the current workflow. Non-rule Python statements inside the module are also evaluated in that separate namespace. They are available in the module-defining workflow under the name of the module (e.g. here ``other_workflow.myfunction()`` would call the function ``myfunction`` that has been defined in the model, e.g. in ``other_workflow/Snakefile``). It is possible to overwrite the global config dictionary for the module, which is usually filled by the ``configfile`` statement (see :ref:`snakefiles_standard_configuration`): .. code-block:: python from snakemake.utils import min_version min_version("6.0") configfile: "config/config.yaml" module other_workflow: # here, plain paths, URLs and the special markers for code hosting providers (see below) are possible. snakefile: "other_workflow/Snakefile" config: config["other-workflow"] use rule * from other_workflow as other_* In this case, any ``configfile`` statements inside the module are ignored. In addition, it is possible to skip any :ref:`validation ` statements in the module, by specifying ``skip_validation: True`` in the module statment. Moreover, one can automatically move all relative input and output files of a module into a dedicated folder: by specifying ``prefix: "foo"`` in the module definition, e.g. any output file ``path/to/output.txt`` in the module would be stored under ``foo/path/to/output.txt`` instead. This becomes particularly usefull when combining multiple modules, see :ref:`use_with_modules`. Instead of using all rules, it is possible to import specific rules. Specific rules may even be modified before using them, via a final ``with:`` followed by a block that lists items to overwrite. This modification can be performed after a general import, and will overwrite any unmodified import of the same rule. .. code-block:: python from snakemake.utils import min_version min_version("6.0") module other_workflow: # here, plain paths, URLs and the special markers for code hosting providers (see below) are possible. snakefile: "other_workflow/Snakefile" config: config["other-workflow"] use rule * from other_workflow as other_* use rule some_task from other_workflow as other_some_task with: output: "results/some-result.txt" By such a modifying use statement, any properties of the rule (``input``, ``output``, ``log``, ``params``, ``benchmark``, ``threads``, ``resources``, etc.) can be overwritten, except the actual execution step (``shell``, ``notebook``, ``script``, ``cwl``, or ``run``). Note that the second use statement has to use the original rule name, not the one that has been prefixed with ``other_`` via the first use statement (there is no rule ``other_some_task`` in the module ``other_workflow``). In order to overwrite the rule ``some_task`` that has been imported with the first ``use rule`` statement, it is crucial to ensure that the rule is used with the same name in the second statement, by adding an equivalent ``as`` clause (here ``other_some_task``). Otherwise, you will have two versions of the same rule, which might be unintended (a common symptom of such unintended repeated uses would be ambiguous rule exceptions thrown by Snakemake). Of course, it is possible to combine the use of rules from multiple modules (see :ref:`use_with_modules`), and via modifying statements they can be rewired and reconfigured in an arbitrary way. .. _snakefiles-meta-wrappers: ~~~~~~~~~~~~~ Meta-Wrappers ~~~~~~~~~~~~~ Snakemake wrappers offer a simple way to include commonly used tools in Snakemake workflows. In addition the `Snakemake Wrapper Repository`_ offers so-called meta-wrappers, which are combinations of wrappers, meant to perform common tasks. Both wrappers and meta-wrappers are continously tested. The module statement also allows to easily use meta-wrappers, for example: .. code-block:: python from snakemake.utils import min_version min_version("6.0") configfile: "config.yaml" module bwa_mapping: meta_wrapper: "0.72.0/meta/bio/bwa_mapping" use rule * from bwa_mapping def get_input(wildcards): return config["samples"][wildcards.sample] use rule bwa_mem from bwa_mapping with: input: get_input First, we define the meta-wrapper as a module. Next, we declare all rules from the module to be used. And finally, we overwrite the input directive of the rule ``bwa_mem`` such that the raw data is taken from the place where our workflow configures it via it's config file. .. _snakefiles-sub_workflows: ------------- Sub-Workflows ------------- In addition to including rules of another workflow, Snakemake allows to depend on the output of other workflows as sub-workflows. A sub-workflow is executed independently before the current workflow is executed. Thereby, Snakemake ensures that all files the current workflow depends on are created or updated if necessary. This allows to create links between otherwise separate data analyses. .. code-block:: python subworkflow otherworkflow: workdir: "../path/to/otherworkflow" snakefile: "../path/to/otherworkflow/Snakefile" configfile: "path/to/custom_configfile.yaml" rule a: input: otherworkflow("test.txt") output: ... shell: ... Here, the subworkflow is named "otherworkflow" and it is located in the working directory ``../path/to/otherworkflow``. The snakefile is in the same directory and called ``Snakefile``. If ``snakefile`` is not defined for the subworkflow, it is assumed be located in the workdir location and called ``Snakefile``, hence, above we could have left the ``snakefile`` keyword out as well. If ``workdir`` is not specified, it is assumed to be the same as the current one. The (optional) definition of a ``configfile`` allows to parameterize the subworkflow as needed. Files that are output from the subworkflow that we depend on are marked with the ``otherworkflow`` function (see the input of rule a). This function automatically determines the absolute path to the file (here ``../path/to/otherworkflow/test.txt``). When executing, snakemake first tries to create (or update, if necessary) ``test.txt`` (and all other possibly mentioned dependencies) by executing the subworkflow. Then the current workflow is executed. This can also happen recursively, since the subworkflow may have its own subworkflows as well. .. _snakefile-code-hosting-providers: ---------------------- Code hosting providers ---------------------- To obtain the correct URL to an external source code resource (e.g. a snakefile, see :ref:`snakefiles-modules`), Snakemake provides markers for code hosting providers. Currently, Github .. code-block:: python github("owner/repo", path="workflow/Snakefile", tag="v1.0.0") and Gitlab are supported: .. code-block:: python gitlab("owner/repo", path="workflow/Snakefile", tag="v1.0.0") For the latter, it is also possible to specify an alternative host, e.g. .. code-block:: python gitlab("owner/repo", path="workflow/Snakefile", tag="v1.0.0", host="somecustomgitlab.org") While specifying a tag is highly encouraged, it is alternatively possible to specify a `commit` or a `branch` via respective keyword arguments. Note that only when specifying a tag or a commit, Snakemake is able to persistently cache the source, thereby avoiding to repeatedly query it in case of multiple executions. snakemake-6.15.1/docs/snakefiles/remote_files.rst000066400000000000000000001031031417574166400220430ustar00rootroot00000000000000.. _snakefiles-remote_files: ============ Remote files ============ In versions ``snakemake>=3.5``. The ``Snakefile`` supports a wrapper function, ``remote()``, indicating a file is on a remote storage provider (this is similar to ``temp()`` or ``protected()``). In order to use all types of remote files, the Python packages ``boto``, ``moto``, ``filechunkio``, ``pysftp``, ``dropbox``, ``requests``, ``ftputil``, ``XRootD``, and ``biopython`` must be installed. During rule execution, a remote file (or object) specified is downloaded to the local ``cwd``, within a sub-directory bearing the same name as the remote provider. This sub-directory naming lets you have multiple remote origins with reduced likelihood of name collisions, and allows Snakemake to easily translate remote objects to local file paths. You can think of each local remote sub-directory as a local mirror of the remote system. The ``remote()`` wrapper is mutually-exclusive with the ``temp()`` and ``protected()`` wrappers. Snakemake includes the following remote providers, supported by the corresponding classes: * Amazon Simple Storage Service (AWS S3): ``snakemake.remote.S3`` * Google Cloud Storage (GS): ``snakemake.remote.GS`` * Microsoft Azure Blob Storage: ``snakemake.remote.AzBlob`` * File transfer over SSH (SFTP): ``snakemake.remote.SFTP`` * Read-only web (HTTP[S]): ``snakemake.remote.HTTP`` * File transfer protocol (FTP): ``snakemake.remote.FTP`` * Dropbox: ``snakemake.remote.dropbox`` * XRootD: ``snakemake.remote.XRootD`` * GenBank / NCBI Entrez: ``snakemake.remote.NCBI`` * WebDAV: ``snakemake.remote.webdav`` * GFAL: ``snakemake.remote.gfal`` * GridFTP: ``snakemake.remote.gridftp`` * iRODS: ``snakemake.remote.iRODS`` * EGA: ``snakemake.remote.EGA`` * AUTO: an automated remote selector Amazon Simple Storage Service (S3) ================================== This section describes usage of the S3 RemoteProvider, and also provides an intro to remote files and their usage. It is important to note that you must have credentials (``access_key_id`` and ``secret_access_key``) which permit read/write access. If a file only serves as input to a Snakemake rule, read access is sufficient. You may specify credentials as environment variables or in the file ``~/.aws/credentials``, prefixed with ``AWS_*``, as with a standard `boto config `_. Credentials may also be explicitly listed in the ``Snakefile``, as shown below: For the Amazon S3 and Google Cloud Storage providers, the sub-directory used must be the bucket name. Using remote files is easy (AWS S3 shown): .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider(access_key_id="MYACCESSKEY", secret_access_key="MYSECRET") rule all: input: S3.remote("bucket-name/file.txt") Expand still works as expected, just wrap the expansion: .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider() rule all: input: S3.remote(expand("bucket-name/{letter}-2.txt", letter=["A", "B", "C"])) Only remote files needed to satisfy the DAG build are downloaded for the workflow. By default, remote files are downloaded prior to rule execution and are removed locally as soon as no rules depend on them. Remote files can be explicitly kept by setting the ``keep_local=True`` keyword argument: .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider(access_key_id="MYACCESSKEY", secret_access_key="MYSECRET") rule all: input: S3.remote('bucket-name/prefix{split_id}.txt', keep_local=True) If you wish to have a rule to simply download a file to a local copy, you can do so by declaring the same file path locally as is used by the remote file: .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider(access_key_id="MYACCESSKEY", secret_access_key="MYSECRET") rule all: input: S3.remote("bucket-name/out.txt") output: "bucket-name/out.txt" run: shell("cp {output[0]} ./") In some cases the rule can use the data directly on the remote provider, in these cases ``stay_on_remote=True`` can be set to avoid downloading/uploading data unnecessarily. Additionally, if the backend supports it, any potentially corrupt output files will be removed from the remote. The default for ``stay_on_remote`` and ``keep_local`` can be configured by setting these properties on the remote provider object: .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider(access_key_id="MYACCESSKEY", secret_access_key="MYSECRET", keep_local=True, stay_on_remote=True) The remote provider also supports a new ``glob_wildcards()`` (see :ref:`glob-wildcards`) which acts the same as the local version of ``glob_wildcards()``, but for remote files: .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider(access_key_id="MYACCESSKEY", secret_access_key="MYSECRET") S3.glob_wildcards("bucket-name/{file_prefix}.txt") # (result looks just like as if the local glob_wildcards() function were used on a locally with a folder called "bucket-name") If the AWS CLI is installed it is possible to configure your keys globally. This removes the necessity of hardcoding the keys in the Snakefile. The interactive AWS credentials setup can be done using the following command: .. code-block:: python aws configure S3 then can be used without the keys. .. code-block:: python from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider() Finally, it is also possible to overwrite the S3 host via adding a ``host`` argument (taking a URL string) to ``S3RemoteProvider``. Google Cloud Storage (GS) ========================= Usage of the GS provider is the same as the S3 provider. For authentication, one simply needs to login via the ``gcloud`` tool before executing Snakemake, i.e.: .. code-block:: console $ gcloud auth application-default login In the Snakefile, no additional authentication information has to be provided: .. code-block:: python from snakemake.remote.GS import RemoteProvider as GSRemoteProvider GS = GSRemoteProvider() rule all: input: GS.remote("bucket-name/file.txt") Microsoft Azure Blob Storage ============================= Usage of the Azure Blob Storage provider is similar to the S3 provider. For authentication, an account name and shared access signature (SAS) or key can be used. If these variables are not passed directly to AzureRemoteProvider (see [BlobServiceClient class](https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python) for naming), they will be read from environment variables, named `AZ_BLOB_ACCOUNT_URL` and `AZ_BLOB_CREDENTIAL`. `AZ_BLOB_ACCOUNT_URL` takes the form `https://.blob.core.windows.net` and may also contain a SAS. If a SAS is not part of the URL, `AZ_BLOB_CREDENTIAL` has to be set to the SAS or alternatively to the storage account key. When using AzBlob as default remote provider you will almost always want to pass these environment variables on to the remote execution environment (e.g. Kubernetes) with `--envvars`, e.g `--envvars AZ_BLOB_ACCOUNT_URL AZ_BLOB_CREDENTIAL`. .. code-block:: python from snakemake.remote.AzBlob import RemoteProvider as AzureRemoteProvider AS = AzureRemoteProvider()# assumes env vars AZ_BLOB_ACCOUNT_URL and possibly AZ_BLOB_CREDENTIAL are set rule a: input: AS.remote("path/to/file.txt") File transfer over SSH (SFTP) ============================= Snakemake can use files on remove servers accessible via SFTP (i.e. most \*nix servers). It uses `pysftp `_ for the underlying support of SFTP, so the same connection options exist. Assuming you have SSH keys already set up for the server you are using in the ``Snakefile``, usage is simple: .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider() rule all: input: SFTP.remote("example.com/path/to/file.bam") If you need to create the output directories in the remote server, you can specify ``mkdir_remote=True`` in the ``RemoteProvider`` constructor. .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider(mkdir_remote=True) rule all: input: "/home/foo/bar.txt" output: SFTP.remote('example.com/home/foo/create/dir/bar.txt') shell: "cp {input} {output}" The remote file addresses used must be specified with the host (domain or IP address) and the absolute path to the file on the remote server. A port may be specified if the SSH daemon on the server is listening on a port other than 22, in either the ``RemoteProvider`` or in each instance of ``remote()``: .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider(port=4040) rule all: input: SFTP.remote("example.com/path/to/file.bam") .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider() rule all: input: SFTP.remote("example.com:4040/path/to/file.bam") The standard keyword arguments used by `pysftp `_ may be provided to the RemoteProvider to specify credentials (either password or private key): .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider(username="myusername", private_key="/Users/myusername/.ssh/particular_id_rsa") rule all: input: SFTP.remote("example.com/path/to/file.bam") .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider(username="myusername", password="mypassword") rule all: input: SFTP.remote("example.com/path/to/file.bam") If you share credentials between servers but connect to one on a different port, the alternate port may be specified in the ``remote()`` wrapper: .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider(username="myusername", password="mypassword") rule all: input: SFTP.remote("some-example-server-1.com/path/to/file.bam"), SFTP.remote("some-example-server-2.com:2222/path/to/file.bam") There is a ``glob_wildcards()`` function: .. code-block:: python from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider() SFTP.glob_wildcards("example.com/path/to/{sample}.bam") Read-only web (HTTP[s]) ======================= Snakemake can access web resources via a read-only HTTP(S) provider. This provider can be helpful for including public web data in a workflow. Web addresses must be specified without protocol, so if your URI looks like this: .. code-block:: text https://server3.example.com/path/to/myfile.tar.gz The URI used in the ``Snakefile`` must look like this: .. code-block:: text server3.example.com/path/to/myfile.tar.gz It is straightforward to use the HTTP provider to download a file to the `cwd`: .. code-block:: python import os from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() rule all: input: HTTP.remote("www.example.com/path/to/document.pdf", keep_local=True) run: outputName = os.path.basename(input[0]) shell("mv {input} {outputName}") To connect on a different port, specify the port as part of the URI string: .. code-block:: python from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() rule all: input: HTTP.remote("www.example.com:8080/path/to/document.pdf", keep_local=True) By default, the HTTP provider always uses HTTPS (TLS). If you need to connect to a resource with regular HTTP (no TLS), you must explicitly include ``insecure`` as a ``kwarg`` to ``remote()``: .. code-block:: python from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() rule all: input: HTTP.remote("www.example.com/path/to/document.pdf", insecure=True, keep_local=True) If the URI used includes characters not permitted in a local file path, you may include them as part of the ``additional_request_string`` in the ``kwargs`` for ``remote()``. This may also be useful for including additional parameters you don not want to be part of the local filename (since the URI string becomes the local file name). .. code-block:: python from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() rule all: input: HTTP.remote("example.com/query.php", additional_request_string="?range=2;3") If the file requires authentication, you can specify a username and password for HTTP Basic Auth with the Remote Provider, or with each instance of `remote()`. For different types of authentication, you can pass in a Python ```requests.auth`` object (see `here `_) the `auth` ``kwarg``. .. code-block:: python from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider(username="myusername", password="mypassword") rule all: input: HTTP.remote("example.com/interactive.php", keep_local=True) .. code-block:: python from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() rule all: input: HTTP.remote("example.com/interactive.php", username="myusername", password="mypassword", keep_local=True) .. code-block:: python from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() rule all: input: HTTP.remote("example.com/interactive.php", auth=requests.auth.HTTPDigestAuth("myusername", "mypassword"), keep_local=True) Since remote servers do not present directory contents uniformly, ``glob_wildcards()`` is __not__ supported by the HTTP provider. File Transfer Protocol (FTP) ============================ Snakemake can work with files stored on regular FTP. Currently supported are authenticated FTP and anonymous FTP, excluding FTP via TLS. Usage is similar to the SFTP provider, however the paths specified are relative to the FTP home directory (since this is typically a chroot): .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider(username="myusername", password="mypassword") rule all: input: FTP.remote("example.com/rel/path/to/file.tar.gz") The port may be specified in either the provider, or in each instance of `remote()`: .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider(username="myusername", password="mypassword", port=2121) rule all: input: FTP.remote("example.com/rel/path/to/file.tar.gz") .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider(username="myusername", password="mypassword") rule all: input: FTP.remote("example.com:2121/rel/path/to/file.tar.gz") Anonymous download of FTP resources is possible: .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider() rule all: input: # only keeping the file so we can move it out to the cwd FTP.remote("example.com/rel/path/to/file.tar.gz", keep_local=True) run: shell("mv {input} ./") ``glob_wildcards()``: .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider(username="myusername", password="mypassword") print(FTP.glob_wildcards("example.com/somedir/{file}.txt")) Setting `immediate_close=True` allows the use of a large number of remote FTP input files in a job where the endpoint server limits the number of concurrent connections. When `immediate_close=True`, Snakemake will terminate FTP connections after each remote file action (`exists()`, `size()`, `download()`, `mtime()`, etc.). This is in contrast to the default behavior which caches FTP details and leaves the connection open across actions to improve performance (closing the connection upon job termination). : .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider() rule all: input: # only keep the file so we can move it out to the cwd # This server limits the number of concurrent connections so we need to have Snakemake close each after each FTP action. FTP.remote(expand("ftp.example.com/rel/path/to/{file}", file=large_list), keep_local=True, immediate_close=True) run: shell("mv {input} ./") ``glob_wildcards()``: .. code-block:: python from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider(username="myusername", password="mypassword") print(FTP.glob_wildcards("example.com/somedir/{file}.txt")) Dropbox ======= The Dropbox remote provider allows you to upload and download from your `Dropbox `_ account without having the client installed on your machine. In order to use the provider you first need to register an "app" on the `Dropbox developer website `_, with access to the Full Dropbox. After registering, generate an OAuth2 access token. You will need the token to use the Snakemake Dropbox remote provider. Using the Dropbox provider is straightforward: .. code-block:: python from snakemake.remote.dropbox import RemoteProvider as DropboxRemoteProvider DBox = DropboxRemoteProvider(oauth2_access_token="mytoken") rule all: input: DBox.remote("path/to/input.txt") ``glob_wildcards()`` is supported: .. code-block:: python from snakemake.remote.dropbox import RemoteProvider as DropboxRemoteProvider DBox = DropboxRemoteProvider(oauth2_access_token="mytoken") DBox.glob_wildcards("path/to/{title}.txt") Note that Dropbox paths are case-insensitive. XRootD ======= Snakemake can be used with `XRootD `_ backed storage provided the python bindings are installed. This is typically most useful when combined with the ``stay_on_remote`` flag to minimise local storage requirements. This flag can be overridden on a file by file basis as described in the S3 remote. Additionally ``glob_wildcards()`` is supported: .. code-block:: python from snakemake.remote.XRootD import RemoteProvider as XRootDRemoteProvider XRootD = XRootDRemoteProvider(stay_on_remote=True) file_numbers = XRootD.glob_wildcards("root://eospublic.cern.ch//eos/opendata/lhcb/MasterclassDatasets/D0lifetime/2014/mclasseventv2_D0_{n}.root").n rule all: input: expand("local_data/mclasseventv2_D0_{n}.root", n=file_numbers) rule make_data: input: XRootD.remote("root://eospublic.cern.ch//eos/opendata/lhcb/MasterclassDatasets/D0lifetime/2014/mclasseventv2_D0_{n}.root") output: 'local_data/mclasseventv2_D0_{n}.root' shell: 'xrdcp {input[0]} {output[0]}' GenBank / NCBI Entrez ===================== Snakemake can directly source input files from `GenBank `_ and other `NCBI Entrez databases `_ if the Biopython library is installed. .. code-block:: python from snakemake.remote.NCBI import RemoteProvider as NCBIRemoteProvider NCBI = NCBIRemoteProvider(email="someone@example.com") # email required by NCBI to prevent abuse rule all: input: "size.txt" rule download_and_count: input: NCBI.remote("KY785484.1.fasta", db="nuccore") output: "size.txt" run: shell("wc -c {input} > {output}") The output format and source database of a record retrieved from GenBank is inferred from the file extension specified. For example, ``NCBI.RemoteProvider().remote("KY785484.1.fasta", db="nuccore")`` will download a FASTA file while ``NCBI.RemoteProvider().remote("KY785484.1.gb", db="nuccore")`` will download a GenBank-format file. If the options are ambiguous, Snakemake will raise an exception and inform the user of possible format choices. To see available formats, consult the `Entrez EFetch documentation `_. To view the valid file extensions for these formats, access ``NCBI.RemoteProvider()._gb.valid_extensions``, or instantiate an ``NCBI.NCBIHelper()`` and access ``NCBI.NCBIHelper().valid_extensions`` (this is a property). When used in conjunction with ``NCBI.RemoteProvider().search()``, Snakemake and ``NCBI.RemoteProvider().remote()`` can be used to find accessions by query and download them: .. code-block:: python from snakemake.remote.NCBI import RemoteProvider as NCBIRemoteProvider NCBI = NCBIRemoteProvider(email="someone@example.com") # email required by NCBI to prevent abuse # get accessions for the first 3 results in a search for full-length Zika virus genomes # the query parameter accepts standard GenBank search syntax query = '"Zika virus"[Organism] AND (("9000"[SLEN] : "20000"[SLEN]) AND ("2017/03/20"[PDAT] : "2017/03/24"[PDAT])) ' accessions = NCBI.search(query, retmax=3) # give the accessions a file extension to help the RemoteProvider determine the # proper output type. input_files = expand("{acc}.fasta", acc=accessions) rule all: input: "sizes.txt" rule download_and_count: input: # Since *.fasta files could come from several different databases, specify the database here. # if the input files are ambiguous, the provider will alert the user with possible options # standard options like "seq_start" are supported NCBI.remote(input_files, db="nuccore", seq_start=5000) output: "sizes.txt" run: shell("wc -c {input} > sizes.txt") Normally, all accessions for a query are returned from ``NCBI.RemoteProvider.search()``. To truncate the results, specify ``retmax=``. Standard Entrez `fetch query options `_ are supported as kwargs, and may be passed in to ``NCBI.RemoteProvider.remote()`` and ``NCBI.RemoteProvider.search()``. WebDAV ====== WebDAV support is currently ``experimental`` and available in Snakemake 4.0 and later. Snakemake supports reading and writing WebDAV remote files. The protocol defaults to ``https://``, but insecure connections can be used by specifying ``protocol=="http://"``. Similarly, the port defaults to 443, and can be overridden by specifying ``port=##`` or by including the port as part of the file address. .. code-block:: python from snakemake.remote import webdav webdav = webdav.RemoteProvider(username="test", password="test", protocol="http://") rule a: input: webdav.remote("example.com:8888/path/to/input_file.csv"), shell: # do something GFAL ==== GFAL support is available in Snakemake 4.1 and later. Snakemake supports reading and writing remote files via the `GFAL `_ command line client (gfal-* commands). By this, it supports various grid storage protocols like `GridFTP `_. In general, if you are able to use the `gfal-*` commands directly, Snakemake support for GFAL will work as well. .. code-block:: python from snakemake.remote import gfal gfal = gfal.RemoteProvider(retry=5) rule a: input: gfal.remote("gridftp.grid.sara.nl:2811/path/to/infile.txt") output: gfal.remote("gridftp.grid.sara.nl:2811/path/to/outfile.txt") shell: # do something Authentication has to be setup in the system, e.g. via certificates in the ``.globus`` directory. Usually, this is already the case and no action has to be taken. The keyword argument to the remote provider allows to set the number of retries (10 per default) in case of failed commands (the GRID is usually relatively unreliable). The latter may be unsupported depending on the system configuration. Note that GFAL support used together with the flags ``--no-shared-fs`` and ``--default-remote-provider`` enables you to transparently use Snakemake in a grid computing environment without a shared network filesystem. For an example see the `surfsara-grid configuration profile `_. GridFTP ======= GridFTP support is available in Snakemake 4.3.0 and later. As a more specialized alternative to the GFAL remote provider, Snakemake provides a `GridFTP `_ remote provider. This provider only supports the GridFTP protocol. Internally, it uses the `globus-url-copy `_ command for downloads and uploads, while all other tasks are delegated to the GFAL remote provider. .. code-block:: python from snakemake.remote import gridftp gridftp = gridftp.RemoteProvider(retry=5) rule a: input: gridftp.remote("gridftp.grid.sara.nl:2811/path/to/infile.txt") output: gridftp.remote("gridftp.grid.sara.nl:2811/path/to/outfile.txt") shell: # do something Authentication has to be setup in the system, e.g. via certificates in the ``.globus`` directory. Usually, this is already the case and no action has to be taken. The keyword argument to the remote provider allows to set the number of retries (10 per default) in case of failed commands (the GRID is usually relatively unreliable). The latter may be unsupported depending on the system configuration. Note that GridFTP support used together with the flags ``--no-shared-fs`` and ``--default-remote-provider`` enables you to transparently use Snakemake in a grid computing environment without a shared network filesystem. For an example see the `surfsara-grid configuration profile `_. Remote cross-provider transfers =============================== It is possible to use Snakemake to transfer files between remote providers (using the local machine as an intermediary), as long as the sub-directory (bucket) names differ: .. code-block:: python from snakemake.remote.GS import RemoteProvider as GSRemoteProvider from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider GS = GSRemoteProvider(access_key_id="MYACCESSKEYID", secret_access_key="MYSECRETACCESSKEY") S3 = S3RemoteProvider(access_key_id="MYACCESSKEYID", secret_access_key="MYSECRETACCESSKEY") fileList, = S3.glob_wildcards("source-bucket/{file}.bam") rule all: input: GS.remote( expand("destination-bucket/{file}.bam", file=fileList) ) rule transfer_S3_to_GS: input: S3.remote( expand("source-bucket/{file}.bam", file=fileList) ) output: GS.remote( expand("destination-bucket/{file}.bam", file=fileList) ) run: shell("cp {input} {output}") iRODS ===== You can access an iRODS server to retrieve data from and upload data to it. If your iRODS server is not set to a certain timezone, it is using UTC. It is advised to shift the modification time provided by iRODS (``modify_time``) then to your timezone by providing the ``timezone`` parameter such that timestamps coming from iRODS are converted to the correct time. iRODS actually does not save the timestamp from your original file but creates its own timestamp of the upload time. When iRODS downloads the file for processing, it does not take the timestamp from the remote file. Instead, the file will have the timestamp when it was downloaded. To get around this, we create a metadata entry to store the original file stamp from your system and alter the timestamp of the downloaded file accordingly. While uploading, the metadata entries ``atime``, ``ctime`` and ``mtime`` are added. When this entry does not exist (because this module didn't upload the file), we fall back to the timestamp provided by iRODS with the above mentioned strategy. To access the iRODS server you need to have an iRODS environment configuration file available and in this file the authentication needs to be configured. The iRODS configuration file can be created by following the `official instructions `_). The default location for the configuration file is ``~/.irods/irods_environment.json``. The ``RemoteProvider()`` class accepts the parameter ``irods_env_file`` where an alternative path to the ``irods_environment.json`` file can be specified. Another way is to export the environment variable ``IRODS_ENVIRONMENT_FILE`` in your shell to specify the location. There are several ways to configure the authentication against the iRODS server, depending on what your iRODS server offers. If you are using the authentication via password, the default location of the authentication file is ``~/.irods/.irodsA``. Usually this file is generated with the ``iinit`` command from the ``iCommands`` program suite. Inside the ``irods_environment.json`` file, the parameter ``"irods_authentication_file"`` can be set to specifiy an alternative location for the ``.irodsA`` file. Another possibility to change the location is to export the environment variable ``IRODS_AUTHENTICATION_FILE``. The ``glob_wildcards()`` function is supported. .. code-block:: python from snakemake.remote.iRODS import RemoteProvider irods = RemoteProvider(irods_env_file='setup-data/irods_environment.json', timezone="Europe/Berlin") # all parameters are optional # please note the comma after the variable name! # access: irods.remote(expand('home/rods/{f}), f=files)) files, = irods.glob_wildcards('home/rods/{files}) rule all: input: irods.remote('home/rods/testfile.out'), rule gen: input: irods.remote('home/rods/testfile.in') output: irods.remote('home/rods/testfile.out') shell: r""" touch {output} """ An example for the iRODS configuration file (``irods_environment.json``): .. code-block:: json { "irods_host": "localhost", "irods_port": 1247, "irods_user_name": "rods", "irods_zone_name": "tempZone", "irods_authentication_file": "setup-data/.irodsA" } Please note that the ``zone`` folder is not included in the path as it will be taken from the configuration file. The path also must not start with a ``/``. By default, temporarily stored local files are removed. You can specify anyway the parameter ``overwrite`` to tell iRODS to overwrite existing files that are downloaded, because iRODS complains if a local file already exists when a download attempt is issued (uploading is not a problem, though). In the Snakemake source directory in ``snakemake/tests/test_remote_irods`` you can find a working example. EGA === The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. From version 5.2 on, Snakemake provides experimental support to use EGA as a remote provider, such that EGA hosted files can be transparently used as input. For this to work, you need to define your username and password as environment variables ``EGA_USERNAME`` and ``EGA_PASSWORD``. Files in a dataset are addressed via the pattern ``ega//``. Note that the filename should not include the ``.cip`` ending that is sometimes displayed in EGA listings: .. code-block:: python import snakemake.remote.EGA as EGA ega = EGA.RemoteProvider() rule a: input: ega.remote("ega/EGAD00001002142/COLO_829_EPleasance_TGENPipe.bam.bai") output: "data/COLO_829BL_BCGSC_IlluminaPipe.bam.bai" shell: "cp {input} {output}" Upon download, Snakemake will automatically decrypt the file and check the MD5 hash. AUTO ==== A wrapper which automatically selects an appropriate remote provider based on the url's scheme. It removes some of the boilerplate code required to download remote files from various providers: .. code-block:: python from snakemake.remote import AUTO rule all: input: 'foo' rule download: input: ftp_file_list=AUTO.remote([ 'ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/taxcat.tar.gz', 'ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/taxdump.tar.gz' ], keep_local=True), http_file=AUTO.remote( 'https://github.com/hetio/hetionet/raw/master/hetnet/tsv/hetionet-v1.0-nodes.tsv' ) output: touch('foo') shell: """ head {input.http_file} """ snakemake-6.15.1/docs/snakefiles/reporting.rst000066400000000000000000000150251417574166400214040ustar00rootroot00000000000000.. _snakefiles-reports: ------- Reports ------- From Snakemake 5.1 on, it is possible to automatically generate detailed self-contained HTML reports that encompass runtime statistics, provenance information, workflow topology and results. **A realistic example report from a real workflow can be found** `here `_. For including results into the report, the Snakefile has to be annotated with additional information. Each output file that shall be part of the report has to be marked with the ``report`` flag, which optionally points to a caption in `restructured text format `_ and allows to define a ``category`` for grouping purposes. Moreover, a global workflow description can be defined via the ``report`` directive. Consider the following example: .. code-block:: python report: "report/workflow.rst" rule all: input: ["fig1.svg", "fig2.png", "testdir"] rule c: output: "test.{i}.out" singularity: "docker://continuumio/miniconda3:4.4.10" conda: "envs/test.yaml" shell: "sleep `shuf -i 1-3 -n 1`; touch {output}" rule a: input: expand("test.{i}.out", i=range(10)) output: report("fig1.svg", caption="report/fig1.rst", category="Step 1") shell: "sleep `shuf -i 1-3 -n 1`; cp data/fig1.svg {output}" rule b: input: expand("{model}.{i}.out", i=range(10)) output: report("fig2.png", caption="report/fig2.rst", category="Step 2", subcategory="{model}") shell: "sleep `shuf -i 1-3 -n 1`; cp data/fig2.png {output}" rule d: output: report(directory("testdir"), patterns=["{name}.txt"], caption="report/somedata.rst", category="Step 3") shell: "mkdir {output}; for i in 1 2 3; do echo $i > {output}/$i.txt; done" As can be seen, we define a global description which is contained in the file ``report/workflow.rst``. In addition, we mark ``fig1.svg`` and ``fig2.png`` for inclusion into the report, while in both cases specifying a caption text via again referring to a restructured text file. Note the paths to the ``.rst``-files are interpreted relative to the current Snakefile. Inside the ``.rst``-files you can use `Jinja2 `_ templating to access context information. In case of the global description, you can access the config dictionary via ``{{ snakemake.config }}``, (e.g., use ``{{ snakemake.config["mykey"] }}`` to access the key ``mykey``). In case of output files, you can access the same values as available with the :ref:`script directive ` (e.g., ``snakemake.wildcards``). When marking files for inclusion in the report, a ``category`` and a ``subcategory`` can be given, allowing to group results in of the report. For both, wildcards (like ``{model}`` see rule b in the example), are automatically replaced with the respective values from the corresponding job. The last rule ``d`` creates a directory with several files, here mimicing the case that it is impossible to specify exactly which files will be created while writing the workflow (e.g. it might depend on the data). Nevertheless, it is still possible to include those files one by one into the report by defining inclusion patterns (here ``patterns=["{name}.txt"]``) along with the report flag. When creating the report, Snakemake will scan the directory for files matching the given patterns and include all of them in the report. Wildcards in those patterns are made available in the jinja-templated caption document along with the rules wildcards in the ``snakemake.wildcards`` object. If the output of a rule is a directory with an HTML file hierarchy, it is also possible to specify an entry-point HTML file for inclusion into the report, instead of the ``patterns`` approach from above. This works as follows: .. code-block:: python rule generate_html_hierarchy: output: report(directory("test"), caption="report/caption.rst", htmlindex="test.html") shell: """ # mimic writing of an HTML hierarchy mkdir test cp template.html test/test.html mkdir test/js echo \"alert('test')\" > test/js/test.js """ Moreover, in every ``.rst`` document, you can link to * the **Workflow** panel (with ``Rules_``), * the **Statistics** panel (with ``Statistics_``), * any **category** panel (with ``Mycategory_``, while ``Mycategory`` is the name given for the category argument of the report flag). E.g., with above example, you could write ``see `Step 2`_`` in order to link to the section with the results that have been assigned to the category ``Step 2``. * any **file** marked with the report flag (with ``myfile.txt_``, while ``myfile.txt`` is the basename of the file, without any leading directories). E.g., with above example, you could write ``see fig2.png_`` in order to link to the result in the report document. For details about the hyperlink mechanism of restructured text see `here `_. To create the report simply run .. code-block:: bash snakemake --report report.html after your workflow has finished. All other information contained in the report (e.g. runtime statistics) is automatically collected during creation. These statistics are obtained from the metadata that is stored in the ``.snakemake`` directory inside your working directory. You can define an institute specific stylesheet with: .. code-block:: bash snakemake --report report.html --report-stylesheet custom-stylesheet.css In particular, this allows you to e.g. set a logo at the top (by using CSS to inject a background for the placeholder ``

``, or overwrite colors. For an example custom stylesheet defining the logo, see :download:`here <../../tests/test_report/custom-stylesheet.css>`. The report for above example can be found :download:`here <../../tests/test_report/expected-results/report.html>` (with a custom branding for the University of Duisburg-Essen). The full example source code can be found `here `_. Note that the report can be restricted to particular jobs and results by specifying targets at the command line, analog to normal Snakemake execution. For example, with .. code-block:: bash snakemake fig1.svg --report report-short.html the report contains only ``fig1.svg``. snakemake-6.15.1/docs/snakefiles/rules.rst000066400000000000000000002364011417574166400205300ustar00rootroot00000000000000.. _snakefiles-rules: ==================== Snakefiles and Rules ==================== A Snakemake workflow defines a data analysis in terms of rules that are specified in the Snakefile. Most commonly, rules consist of a name, input files, output files, and a shell command to generate the output from the input: .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" shell: "somecommand {input} {output}" The name is optional and can be left out, creating an anonymous rule. It can also be overridden by setting a rule's ``name`` attribute. .. sidebar:: Note Note that any placeholders in the shell command (like ``{input}``) are always evaluated and replaced when the corresponding job is executed, even if they are occuring inside a comment. To avoid evaluation and replacement, you have to mask the braces by doubling them, i.e. ``{{input}}``. Inside the shell command, all local and global variables, especially input and output files can be accessed via their names in the `python format minilanguage `_. Here, input and output (and in general any list or tuple) automatically evaluate to a space-separated list of files (i.e. ``path/to/inputfile path/to/other/inputfile``). From Snakemake 3.8.0 on, adding the special formatting instruction ``:q`` (e.g. ``"somecommand {input:q} {output:q}")``) will let Snakemake quote each of the list or tuple elements that contains whitespace. Instead of a shell command, a rule can run some python code to generate the output: .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", somename = "path/to/another/outputfile" run: for f in input: ... with open(output[0], "w") as out: out.write(...) with open(output.somename, "w") as out: out.write(...) As can be seen, instead of accessing input and output as a whole, we can also access by index (``output[0]``) or by keyword (``output.somename``). Note that, when adding keywords or names for input or output files, their order won't be preserved when accessing them as a whole via e.g. ``{output}`` in a shell command. Shell commands like above can also be invoked inside a python based rule, via the function ``shell`` that takes a string with the command and allows the same formatting like in the rule above, e.g.: .. code-block:: python shell("somecommand {output.somename}") Further, this combination of python and shell commands allows us to iterate over the output of the shell command, e.g.: .. code-block:: python for line in shell("somecommand {output.somename}", iterable=True): ... # do something in python Note that shell commands in Snakemake use the bash shell in `strict mode `_ by default. .. _snakefiles-wildcards: Wildcards --------- Usually, it is useful to generalize a rule to be applicable to a number of e.g. datasets. For this purpose, wildcards can be used. Automatically resolved multiple named wildcards are a key feature and strength of Snakemake in comparison to other systems. Consider the following example. .. code-block:: python rule complex_conversion: input: "{dataset}/inputfile" output: "{dataset}/file.{group}.txt" shell: "somecommand --group {wildcards.group} < {input} > {output}" Here, we define two wildcards, ``dataset`` and ``group``. By this, the rule can produce all files that follow the regular expression pattern ``.+/file\..+\.txt``, i.e. the wildcards are replaced by the regular expression ``.+``. If the rule's output matches a requested file, the substrings matched by the wildcards are propagated to the input files and to the variable wildcards, that is here also used in the shell command. The wildcards object can be accessed in the same way as input and output, which is described above. For example, if another rule in the workflow requires the file ``101/file.A.txt``, Snakemake recognizes that this rule is able to produce it by setting ``dataset=101`` and ``group=A``. Thus, it requests file ``101/inputfile`` as input and executes the command ``somecommand --group A < 101/inputfile > 101/file.A.txt``. Of course, the input file might have to be generated by another rule with different wildcards. Importantly, the wildcard names in input and output must be named identically. Most typically, the same wildcard is present in both input and output, but it is of course also possible to have wildcards only in the output but not the input section. Multiple wildcards in one filename can cause ambiguity. Consider the pattern ``{dataset}.{group}.txt`` and assume that a file ``101.B.normal.txt`` is available. It is not clear whether ``dataset=101.B`` and ``group=normal`` or ``dataset=101`` and ``group=B.normal`` in this case. Hence wildcards can be constrained to given regular expressions. Here we could restrict the wildcard ``dataset`` to consist of digits only using ``\d+`` as the corresponding regular expression. With Snakemake 3.8.0, there are three ways to constrain wildcards. First, a wildcard can be constrained within the file pattern, by appending a regular expression separated by a comma: .. code-block:: python output: "{dataset,\d+}.{group}.txt" Second, a wildcard can be constrained within the rule via the keyword ``wildcard_constraints``: .. code-block:: python rule complex_conversion: input: "{dataset}/inputfile" output: "{dataset}/file.{group}.txt" wildcard_constraints: dataset="\d+" shell: "somecommand --group {wildcards.group} < {input} > {output}" Finally, you can also define global wildcard constraints that apply for all rules: .. code-block:: python wildcard_constraints: dataset="\d+" rule a: ... rule b: ... See the `Python documentation on regular expressions `_ for detailed information on regular expression syntax. .. _snakefiles_aggregation: Aggregation ----------- Input files can be Python lists, allowing to easily aggregate over parameters or samples: .. code-block:: python rule aggregate: input: ["{dataset}/a.txt".format(dataset=dataset) for dataset in DATASETS] output: "aggregated.txt" shell: ... The above expression can be simplified in two ways. .. _snakefiles_expand: The expand function ~~~~~~~~~~~~~~~~~~~ .. code-block:: python rule aggregate: input: expand("{dataset}/a.txt", dataset=DATASETS) output: "aggregated.txt" shell: ... Note that *dataset* is NOT a wildcard here because it is resolved by Snakemake due to the ``expand`` statement. The ``expand`` function also allows us to combine different variables, e.g. .. code-block:: python rule aggregate: input: expand("{dataset}/a.{ext}", dataset=DATASETS, ext=FORMATS) output: "aggregated.txt" shell: ... If ``FORMATS=["txt", "csv"]`` contains a list of desired output formats then expand will automatically combine any dataset with any of these extensions. Furthermore, the first argument can also be a list of strings. In that case, the transformation is applied to all elements of the list. E.g. .. code-block:: python expand(["{dataset}/a.{ext}", "{dataset}/b.{ext}"], dataset=DATASETS, ext=FORMATS) leads to .. code-block:: python ["ds1/a.txt", "ds1/b.txt", "ds2/a.txt", "ds2/b.txt", "ds1/a.csv", "ds1/b.csv", "ds2/a.csv", "ds2/b.csv"] Per default, ``expand`` uses the python itertools function ``product`` that yields all combinations of the provided wildcard values. However by inserting a second positional argument this can be replaced by any combinatoric function, e.g. ``zip``: .. code-block:: python expand(["{dataset}/a.{ext}", "{dataset}/b.{ext}"], zip, dataset=DATASETS, ext=FORMATS) leads to .. code-block:: python ["ds1/a.txt", "ds1/b.txt", "ds2/a.csv", "ds2/b.csv"] You can also mask a wildcard expression in ``expand`` such that it will be kept, e.g. .. code-block:: python expand("{{dataset}}/a.{ext}", ext=FORMATS) will create strings with all values for ext but starting with the wildcard ``"{dataset}"``. .. _snakefiles-multiext: The multiext function ~~~~~~~~~~~~~~~~~~~~~ ``multiext`` provides a simplified variant of ``expand`` that allows us to define a set of output or input files that just differ by their extension: .. code-block:: python rule plot: input: ... output: multiext("some/plot", ".pdf", ".svg", ".png") shell: ... The effect is the same as if you would write ``expand("some/plot.{ext}", ext=[".pdf", ".svg", ".png"])``, however, using a simpler syntax. Moreover, defining output with ``multiext`` is the only way to use :ref:`between workflow caching ` for rules with multiple output files. .. _snakefiles-targets: Targets and aggregation ----------------------- By default snakemake executes the first rule in the snakefile. This gives rise to pseudo-rules at the beginning of the file that can be used to define build-targets similar to GNU Make: .. code-block:: python rule all: input: expand("{dataset}/file.A.txt", dataset=DATASETS) Here, for each dataset in a python list ``DATASETS`` defined before, the file ``{dataset}/file.A.txt`` is requested. In this example, Snakemake recognizes automatically that these can be created by multiple applications of the rule ``complex_conversion`` shown above. It is possible to overwrite this behavior to use the first rule as a default target, by explicitly marking a rule as being the default target via the ``default_target`` directive: .. code-block:: python rule xy: input: expand("{dataset}/file.A.txt", dataset=DATASETS) default_target: True Regardless of where this rule appears in the Snakefile, it will be the default target. Usually, it is still recommended to keep the default target rule (and in fact all other rules that could act as optional targets) at the top of the file, such that it can be easily found. The ``default_target`` directive becomes particularly useful when :ref:`combining several pre-existing workflows `. .. _snakefiles-threads: Threads ------- Further, a rule can be given a number of threads to use, i.e. .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" threads: 8 shell: "somecommand --threads {threads} {input} {output}" .. sidebar:: Note On a cluster node, Snakemake uses as many cores as available on that node. Hence, the number of threads used by a rule never exceeds the number of physically available cores on the node. Note: This behavior is not affected by ``--local-cores``, which only applies to jobs running on the main node. Snakemake can alter the number of cores available based on command line options. Therefore it is useful to propagate it via the built in variable ``threads`` rather than hardcoding it into the shell command. In particular, it should be noted that the specified threads have to be seen as a maximum. When Snakemake is executed with fewer cores, the number of threads will be adjusted, i.e. ``threads = min(threads, cores)`` with ``cores`` being the number of cores specified at the command line (option ``--cores``). Hardcoding a particular maximum number of threads like above is useful when a certain tool has a natural maximum beyond which parallelization won't help to further speed it up. This is often the case, and should be evaluated carefully for production workflows. Also, setting a ``threads:`` maximum is required to achieve parallelism in tools that (often implicitly and without the user knowing) rely on an environment variable for the maximum of cores to use. For example, this is the case for many linear algebra libraries and for OpenMP. Snakemake limits the respective environment variables to one core by default, to avoid unexpected and unlimited core-grabbing, but will override this with the ``threads:`` you specify in a rule (the parameters set to ``threads:``, or defaulting to ``1``, are: ``OMP_NUM_THREADS``, ``GOTO_NUM_THREADS``, ``OPENBLAS_NUM_THREADS``, ``MKL_NUM_THREADS``, ``VECLIB_MAXIMUM_THREADS``, ``NUMEXPR_NUM_THREADS``). If it is certain that no maximum for efficient parallelism exists for a tool, one can instead define threads as a function of the number of cores given to Snakemake: .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" threads: workflow.cores * 0.75 shell: "somecommand --threads {threads} {input} {output}" The number of given cores is globally available in the Snakefile as an attribute of the workflow object: ``workflow.cores``. Any arithmetic operation can be performed to derive a number of threads from this. E.g., in the above example, we reserve 75% of the given cores for the rule. Snakemake will always round the calculated value down (while enforcing a minimum of 1 thread). Starting from version 3.7, threads can also be a callable that returns an ``int`` value. The signature of the callable should be ``callable(wildcards[, input])`` (input is an optional parameter). It is also possible to refer to a predefined variable (e.g, ``threads: threads_max``) so that the number of cores for a set of rules can be changed with one change only by altering the value of the variable ``threads_max``. .. _snakefiles-resources: Resources --------- In addition to threads, a rule can use arbitrary user-defined resources by specifying them with the resources-keyword: .. code-block:: python rule a: input: ... output: ... resources: mem_mb=100 shell: "..." If limits for the resources are given via the command line, e.g. .. code-block:: console $ snakemake --resources mem_mb=100 the scheduler will ensure that the given resources are not exceeded by running jobs. Resources are always meant to be specified as total per job, not by thread (i.e. above ``mem_mb=100`` in rule ``a`` means that any job from rule ``a`` will require ``100`` megabytes of memory in total, and not per thread). In general, resources are just names to the Snakemake scheduler, i.e., Snakemake does not check whether a job exceeds a certain resource. However, resources are used to determine which jobs can be executed at a time while not exceeding the given limits at the command line. If no limits are given, the resources are ignored in local execution. In cluster or cloud execution, resources are always passed to the backend, even if ``--resources`` is not specified. Apart from making Snakemake aware of hybrid-computing architectures (e.g. with a limited number of additional devices like GPUs) this allows us to control scheduling in various ways, e.g. to limit IO-heavy jobs by assigning an artificial IO-resource to them and limiting it via the ``--resources`` flag. Resources must be ``int`` or ``str`` values. Note that you are free to choose any names for the given resources. Resources can also be callables that return ``int`` or ``str`` values. The signature of the callable has to be ``callable(wildcards [, input] [, threads] [, attempt])`` (``input``, ``threads``, and ``attempt`` are optional parameters). The parameter ``attempt`` allows us to adjust resources based on how often the job has been restarted (see :ref:`all_options`, option ``--restart-times``). This is handy when executing a Snakemake workflow in a cluster environment, where jobs can e.g. fail because of too limited resources. When Snakemake is executed with ``--restart-times 3``, it will try to restart a failed job 3 times before it gives up. Thereby, the parameter ``attempt`` will contain the current attempt number (starting from ``1``). This can be used to adjust the required memory as follows .. code-block:: python def get_mem_mb(wildcards, attempt): return attempt * 100 rule: input: ... output: ... resources: mem_mb=get_mem_mb shell: "..." Here, the first attempt will require 100 MB memory, the second attempt will require 200 MB memory and so on. When passing memory requirements to the cluster engine, you can by this automatically try out larger nodes if it turns out to be necessary. Another application of callables as resources is when memory usage depends on the number of threads: .. code-block:: python def get_mem_mb(wildcards, threads): return threads * 150 rule b: input: ... output: ... threads: 8 resources: mem_mb=get_mem_mb shell: "..." Here, the value the function ``get_mem_mb`` returns grows linearly with the number of threads. Of course, any other arithmetic could be performed in that function. Both threads and resources can be overwritten upon invocation via `--set-threads` and `--set-resources`, see :ref:`user_manual-snakemake_options`. Standard Resources ~~~~~~~~~~~~~~~~~~ There are three **standard resources**, for total memory, disk usage and the temporary directory of a job: ``mem_mb`` and ``disk_mb`` and ``tmpdir``. The ``tmpdir`` resource automatically leads to setting the TMPDIR variable for shell commands, scripts, wrappers and notebooks. When defining memory constraints, it is advised to use ``mem_mb``, because some execution modes make direct use of this information (e.g., when using :ref:`Kubernetes `). Since it would be cumbersome to define such standard resources them for every rule, you can set default values at the terminal or in a :ref:`profile `. This works via the command line flag ``--default-resources``, see ``snakemake --help`` for more information. If those resource definitions are mandatory for a certain execution mode, Snakemake will fail with a hint if they are missing. Any resource definitions inside a rule override what has been defined with ``--default-resources``. If ``--default-resources`` are not specified, Snakemake uses ``'mem_mb=max(2*input.size_mb, 1000)'``, ``'disk_mb=max(2*input.size_mb, 1000)'``, and ``'tmpdir=system_tmpdir'``. The latter points to whatever is the default of the operating system or specified by any of the environment variables ``$TMPDIR``, ``$TEMP``, or ``$TMP`` as outlined `here `_. Preemptible Jobs ~~~~~~~~~~~~~~~~ You can specify parameters ``preemptible-rules`` and ``preemption-default`` to request a `Google Cloud preemptible virtual machine `_ for use with the `Google Life Sciences Executor `_. There are several ways to go about doing this. This first example will use preemptible instances for all rules, with 10 repeats (restarts of the instance if it stops unexpectedly). .. code-block:: console snakemake --preemption-default 10 If your preference is to set a default but then overwrite some rules with a custom value, this is where you can use ``--preemtible-rules``: .. code-block:: console snakemake --preemption-default 10 --preemptible-rules map_reads=3 call_variants=0 The above statement says that we want to use preemtible instances for all steps, defaulting to 10 retries, but for the steps "map_reads" and "call_variants" we want to apply 3 and 0 retries, respectively. The final option is to not use preemptible instances by default, but only for a particular rule: .. code-block:: console snakemake --preemptible-rules map_reads=10 Note that this is currently implemented for the Google Life Sciences API. GPU Resources ~~~~~~~~~~~~~ The Google Life Sciences API currently has support for `NVIDIA GPUs `_, meaning that you can request a number of NVIDIA GPUs explicitly by adding ``nvidia_gpu`` or ``gpu`` to your Snakefile resources for a step: .. code-block:: python rule a: output: "test.txt" resources: nvidia_gpu=1 shell: "somecommand ..." A specific `gpu model `_ can be requested using ``gpu_model`` and lowercase identifiers like ``nvidia-tesla-p100`` or ``nvidia-tesla-p4``, for example: ``gpu_model="nvidia-tesla-p100"``. If you don't specify ``gpu`` or ``nvidia_gpu`` with a count, but you do specify a ``gpu_model``, the count will default to 1. Messages -------- When executing snakemake, a short summary for each running rule is given to the console. This can be overridden by specifying a message for a rule: .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" threads: 8 message: "Executing somecommand with {threads} threads on the following files {input}." shell: "somecommand --threads {threads} {input} {output}" Note that access to wildcards is also possible via the variable ``wildcards`` (e.g, ``{wildcards.sample}``), which is the same as with shell commands. It is important to have a namespace around wildcards in order to avoid clashes with other variable names. Priorities ---------- Snakemake allows for rules that specify numeric priorities: .. code-block:: python rule: input: ... output: ... priority: 50 shell: ... Per default, each rule has a priority of 0. Any rule that specifies a higher priority, will be preferred by the scheduler over all rules that are ready to execute at the same time without having at least the same priority. Furthermore, the ``--prioritize`` or ``-P`` command line flag allows to specify files (or rules) that shall be created with highest priority during the workflow execution. This means that the scheduler will assign the specified target and all its dependencies highest priority, such that the target is finished as soon as possible. The ``--dry-run`` (equivalently ``--dryrun``) or ``-n`` option allows you to see the scheduling plan including the assigned priorities. Log-Files --------- Each rule can specify a log file where information about the execution is written to: .. code-block:: python rule abc: input: "input.txt" output: "output.txt" log: "logs/abc.log" shell: "somecommand --log {log} {input} {output}" Log files can be used as input for other rules, just like any other output file. However, unlike output files, log files are not deleted upon error. This is obviously necessary in order to discover causes of errors which might become visible in the log file. The variable ``log`` can be used inside a shell command to tell the used tool to which file to write the logging information. The log file has to use the same wildcards as output files, e.g. .. code-block:: python log: "logs/abc.{dataset}.log" For programs that do not have an explicit ``log`` parameter, you may always use ``2> {log}`` to redirect standard output to a file (here, the ``log`` file) in Linux-based systems. Note that it is also supported to have multiple (named) log files being specified: .. code-block:: python rule abc: input: "input.txt" output: "output.txt" log: log1="logs/abc.log", log2="logs/xyz.log" shell: "somecommand --log {log.log1} METRICS_FILE={log.log2} {input} {output}" Non-file parameters for rules ----------------------------- Sometimes you may want to define certain parameters separately from the rule body. Snakemake provides the ``params`` keyword for this purpose: .. code-block:: python rule: input: ... params: prefix="somedir/{sample}" output: "somedir/{sample}.csv" shell: "somecommand -o {params.prefix}" The ``params`` keyword allows you to specify additional parameters depending on the wildcards values. This allows you to circumvent the need to use ``run:`` and python code for non-standard commands like in the above case. Here, the command ``somecommand`` expects the prefix of the output file instead of the actual one. The ``params`` keyword helps here since you cannot simply add the prefix as an output file (as the file won't be created, Snakemake would throw an error after execution of the rule). Furthermore, for enhanced readability and clarity, the ``params`` section is also an excellent place to name and assign parameters and variables for your subsequent command. Similar to ``input``, ``params`` can take functions as well (see :ref:`snakefiles-input_functions`), e.g. you can write .. code-block:: python rule: input: ... params: prefix=lambda wildcards, output: output[0][:-4] output: "somedir/{sample}.csv" shell: "somecommand -o {params.prefix}" .. sidebar:: Note When accessing auxiliary source files (i.e. files that are located relative to the current Snakefile, e.g. some additional configuration) it is crucial to not manually build their path but rather rely on Snakemake's special registration for these files, see :ref:`snakefiles-aux_source_files`. to get the same effect as above. Note that in contrast to the ``input`` directive, the ``params`` directive can optionally take more arguments than only ``wildcards``, namely ``input``, ``output``, ``threads``, and ``resources``. From the Python perspective, they can be seen as optional keyword arguments without a default value. Their order does not matter, apart from the fact that ``wildcards`` has to be the first argument. In the example above, this allows you to derive the prefix name from the output file. .. _snakefiles-external_scripts: External scripts ---------------- A rule can also point to an external script instead of a shell command or inline Python code, e.g. Python ~~~~~~ .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" script: "scripts/script.py" .. sidebar:: Note It is possible to refer to wildcards and params in the script path, e.g. by specifying ``"scripts/{params.scriptname}.py"`` or ``"scripts/{wildcards.scriptname}.py"``. The script path is always relative to the Snakefile containing the directive (in contrast to the input and output file paths, which are relative to the working directory). It is recommended to put all scripts into a subfolder ``scripts`` as above. Inside the script, you have access to an object ``snakemake`` that provides access to the same objects that are available in the ``run`` and ``shell`` directives (input, output, params, wildcards, log, threads, resources, config), e.g. you can use ``snakemake.input[0]`` to access the first input file of above rule. An example external Python script could look like this: .. code-block:: python def do_something(data_path, out_path, threads, myparam): # python code do_something(snakemake.input[0], snakemake.output[0], snakemake.threads, snakemake.config["myparam"]) You can use the Python debugger from within the script if you invoke Snakemake with ``--debug``. R and R Markdown ~~~~~~~~~~~~~~~~ Apart from Python scripts, this mechanism also allows you to integrate R_ and R Markdown_ scripts with Snakemake, e.g. .. _R: https://www.r-project.org .. _Markdown: https://rmarkdown.rstudio.com .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" script: "scripts/script.R" In the R script, an S4 object named ``snakemake`` analogous to the Python case above is available and allows access to input and output files and other parameters. Here the syntax follows that of S4 classes with attributes that are R lists, e.g. we can access the first input file with ``snakemake@input[[1]]`` (note that the first file does not have index ``0`` here, because R starts counting from ``1``). Named input and output files can be accessed in the same way, by just providing the name instead of an index, e.g. ``snakemake@input[["myfile"]]``. An equivalent script (:ref:`to the Python one above `) written in R would look like this: .. code-block:: r do_something <- function(data_path, out_path, threads, myparam) { # R code } do_something(snakemake@input[[1]], snakemake@output[[1]], snakemake@threads, snakemake@config[["myparam"]]) To debug R scripts, you can save the workspace with ``save.image()``, and invoke R after Snakemake has terminated. Then you can use the usual R debugging facilities while having access to the ``snakemake`` variable. It is best practice to wrap the actual code into a separate function. This increases the portability if the code shall be invoked outside of Snakemake or from a different rule. A convenience method, ``snakemake@source()``, acts as a wrapper for the normal R ``source()`` function, and can be used to source files relative to the original script directory. An R Markdown file can be integrated in the same way as R and Python scripts, but only a single output (html) file can be used: .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/report.html", script: "path/to/report.Rmd" In the R Markdown file you can insert output from a R command, and access variables stored in the S4 object named ``snakemake`` .. code-block:: R --- title: "Test Report" author: - "Your Name" date: "`r format(Sys.time(), '%d %B, %Y')`" params: rmd: "report.Rmd" output: html_document: highlight: tango number_sections: no theme: default toc: yes toc_depth: 3 toc_float: collapsed: no smooth_scroll: yes --- ## R Markdown This is an R Markdown document. Test include from snakemake `r snakemake@input`. ## Source R Markdown source file (to produce this document) A link to the R Markdown document with the snakemake object can be inserted. Therefore a variable called ``rmd`` needs to be added to the ``params`` section in the header of the ``report.Rmd`` file. The generated R Markdown file with snakemake object will be saved in the file specified in this ``rmd`` variable. This file can be embedded into the HTML document using base64 encoding and a link can be inserted as shown in the example above. Also other input and output files can be embedded in this way to make a portable report. Note that the above method with a data URI only works for small files. An experimental technology to embed larger files is using Javascript Blob `object `_. Julia_ ~~~~~~ .. _Julia: https://julialang.org .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile" output: "path/to/outputfile", "path/to/another/outputfile" script: "path/to/script.jl" In the Julia_ script, a ``snakemake`` object is available, which can be accessed similar to the :ref:`Python case `, with the only difference that you have to index from 1 instead of 0. Rust_ ~~~~~ .. _Rust: https://www.rust-lang.org/ .. code-block:: python rule NAME: input: "path/to/inputfile", "path/to/other/inputfile", named_input="path/to/named/inputfile", output: "path/to/outputfile", "path/to/another/outputfile" params: seed=4 conda: "rust.yaml" log: stdout="path/to/stdout.log", stderr="path/to/stderr.log", script: "path/to/script.rs" The ability to execute Rust scripts is facilitated by |rust-script|_. As such, the script must be a valid ``rust-script`` script and ``rust-script`` (plus OpenSSL and a C compiler toolchain, provided by Conda packages ``openssl``, ``c-compiler``, ``pkg-config``) must be available in the environment the rule is run in. The minimum required ``rust-script`` version is 1.15.0, so in the example above, the contents of ``rust.yaml`` might look like this: .. code block:: yaml channels: - conda-forge - bioconda dependencies: - rust-script>=0.15.0 - openssl - c-compiler - pkg-config Some example scripts can be found in the `tests directory `_. In the Rust script, a ``snakemake`` instance is available, which is automatically generated from the python snakemake object using |json_typegen|_. It usually looks like this: .. code-block:: rust pub struct Snakemake { input: Input, output: Ouput, params: Params, wildcards: Wildcards, threads: u64, log: Log, resources: Resources, config: Config, rulename: String, bench_iteration: Option, scriptdir: String, } Any named parameter is translated to a corresponding ``field_name: Type``, such that ``params.seed`` from the example above can be accessed just like in python, i.e.: .. code-block:: rust let seed = snakemake.params.seed; assert_eq!(seed, 4); Positional arguments for ``input``, ``output``, ``log`` and ``wildcards`` can be accessed by index and iterated over: .. code-block:: rust let input = &snakemake.input; // Input implements Index let inputfile = input[0]; assert_eq!(inputfile, "path/to/inputfile"); // Input implements IntoIterator // // prints // > 'path/to/inputfile' // > 'path/to/other/inputfile' for f in input { println!("> '{}'", &f); } It is also possible to redirect ``stdout`` and ``stderr``: .. code-block:: rust println!("This will NOT be written to path/to/stdout.log"); // redirect stdout to "path/to/stdout.log" let _stdout_redirect = snakemake.redirect_stdout(snakemake.log.stdout)?; println!("This will be written to path/to/stdout.log"); // redirect stderr to "path/to/stderr.log" let _stderr_redirect = snakemake.redirect_stderr(snakemake.log.stderr)?; eprintln!("This will be written to path/to/stderr.log"); drop(_stderr_redirect); eprintln!("This will NOT be written to path/to/stderr.log"); Redirection of stdout/stderr is only "active" as long as the returned ``Redirect`` instance is alive; in order to stop redirecting, drop the respective instance. In order to work, rust-script support for snakemake has some dependencies enabled by default: #. ``anyhow=1``, for its ``Result`` type #. ``gag=1``, to enable stdout/stderr redirects #. ``json_typegen=0.6``, for generating rust structs from a json representation of the snakemake object #. ``lazy_static=1.4``, to make a ``snakemake`` instance easily accessible #. ``serde=1``, explicit dependency of ``json_typegen`` #. ``serde_derive=1``, explicit dependency of ``json_typegen`` #. ``serde_json=1``, explicit dependency of ``json_typegen`` If your script uses any of these packages, you do not need to ``use`` them in your script. Trying to ``use`` them will cause a compilation error. .. |rust-script| replace:: ``rust-script`` .. _rust-script: https://rust-script.org/ .. |json_typegen| replace:: ``json_typegen`` .. _json_typegen: https://github.com/evestera/json_typegen ---- For technical reasons, scripts are executed in ``.snakemake/scripts``. The original script directory is available as ``scriptdir`` in the ``snakemake`` object. .. _snakefiles_notebook-integration: Jupyter notebook integration ---------------------------- Instead of plain scripts (see above), one can integrate Jupyter_ Notebooks. This enables the interactive development of data analysis components (e.g. for plotting). Integration works as follows (note the use of `notebook:` instead of `script:`): .. _Jupyter: https://jupyter.org/ .. code-block:: python rule hello: output: "test.txt" log: # optional path to the processed notebook notebook="logs/notebooks/processed_notebook.ipynb" notebook: "notebooks/hello.py.ipynb" .. sidebar:: Note Consider Jupyter notebook integration as a way to get the best of both worlds. A modular, readable workflow definition with Snakemake, and the ability to quickly explore and plot data with Jupyter. The benefit will be maximal when integrating many small notebooks that each do a particular job, hence allowing to get away from large monolithic, and therefore unreadable notebooks. It is recommended to prefix the ``.ipynb`` suffix with either ``.py`` or ``.r`` to indicate the notebook language. In the notebook, a snakemake object is available, which can be accessed in the same way as the with :ref:`script integration `. In other words, you have access to input files via ``snakemake.input`` (in the Python case) and ``snakemake@input`` (in the R case) etc.. Optionally it is possible to automatically store the processed notebook. This can be achieved by adding a named logfile ``notebook=...`` to the ``log`` directive. .. sidebar:: Note It is possible to refer to wildcards and params in the notebook path, e.g. by specifying ``"notebook/{params.name}.py"`` or ``"notebook/{wildcards.name}.py"``. In order to simplify the coding of notebooks given the automatically inserted ``snakemake`` object, Snakemake provides an interactive edit mode for notebook rules. Let us assume you have written above rule, but the notebook does not yet exist. By running .. code-block:: console snakemake --cores 1 --edit-notebook test.txt you instruct Snakemake to allow interactive editing of the notebook needed to create the file ``test.txt``. Snakemake will run all dependencies of the notebook rule, such that all input files are present. Then, it will start a jupyter notebook server with an empty draft of the notebook, in which you can interactively program everything needed for this particular step. Once done, you should save the notebook from the jupyter web interface, go to the jupyter dashboard and hit the ``Quit`` button on the top right in order to shut down the jupyter server. Snakemake will detect that the server is closed and automatically store the drafted notebook into the path given in the rule (here ``hello.py.ipynb``). If the notebook already exists, above procedure can be used to easily modify it. Note that Snakemake requires local execution for the notebook edit mode. On a cluster or the cloud, you can generate all dependencies of the notebook rule via .. code-block:: console snakemake --cluster ... --jobs 100 --until test.txt Then, the notebook rule can easily be executed locally. An demo of the entire interactive editing process can be found by clicking below: .. image:: images/snakemake-notebook-demo.gif :scale: 20% :alt: Notebook integration demo :align: center Finally, it is advisable to combine the ``notebook`` directive with the ``conda`` directive (see :ref:`integrated_package_management`) in order to define a software stack to use. At least, this software stack should contain jupyter and the language to use (e.g. Python or R). For the above case, this means .. code-block:: python rule hello: output: "test.txt" conda: "envs/hello.yaml" notebook: "notebooks/hello.py.ipynb" with .. code-block:: yaml channels: - conda-forge dependencies: - python =3.8 - jupyter =1.0 - jupyterlab_code_formatter =1.4 The last dependency is advisable in order to enable autoformatting of notebook cells when editing. When using other languages than Python in the notebook, one needs to additionally add the respective kernel, e.g. ``r-irkernel`` for R support. When using an IDE with built-in Jupyter support, an alternative to ``--edit-notebook`` is ``--draft-notebook``. Instead of firing up a notebook server, ``--draft-notebook`` just creates a skeleton notebook for editing within the IDE. In addition, it prints instructions for configuring the IDE's notebook environment to use the interpreter from the Conda environment defined in the corresponding rule. For example, running .. code-block:: console snakemake --cores 1 --draft-notebook test.txt --use-conda will generate skeleton code in ``notebooks/hello.py.ipynb`` and additionally print instructions on how to open and execute the notebook in VSCode. Protected and Temporary Files ----------------------------- A particular output file may require a huge amount of computation time. Hence one might want to protect it against accidental deletion or overwriting. Snakemake allows this by marking such a file as ``protected``: .. code-block:: python rule NAME: input: "path/to/inputfile" output: protected("path/to/outputfile") shell: "somecommand {input} {output}" A protected file will be write-protected after the rule that produces it is completed. Further, an output file marked as ``temp`` is deleted after all rules that use it as an input are completed: .. code-block:: python rule NAME: input: "path/to/inputfile" output: temp("path/to/outputfile") shell: "somecommand {input} {output}" Directories as outputs ---------------------- Sometimes it can be convenient to have directories, rather than files, as outputs of a rule. As of version 5.2.0, directories as outputs have to be explicitly marked with ``directory``. This is primarily for safety reasons; since all outputs are deleted before a job is executed, we don't want to risk deleting important directories if the user makes some mistake. Marking the output as ``directory`` makes the intent clear, and the output can be safely removed. Another reason comes down to how modification time for directories work. The modification time on a directory changes when a file or a subdirectory is added, removed or renamed. This can easily happen in not-quite-intended ways, such as when Apple macOS or MS Windows add ``.DS_Store`` or ``thumbs.db`` files to store parameters for how the directory contents should be displayed. When the ``directory`` flag is used a hidden file called ``.snakemake_timestamp`` is created in the output directory, and the modification time of that file is used when determining whether the rule output is up to date or if it needs to be rerun. Always consider if you can't formulate your workflow using normal files before resorting to using ``directory()``. .. code-block:: python rule NAME: input: "path/to/inputfile" output: directory("path/to/outputdir") shell: "somecommand {input} {output}" Ignoring timestamps ------------------- For determining whether output files have to be re-created, Snakemake checks whether the file modification date (i.e. the timestamp) of any input file of the same job is newer than the timestamp of the output file. This behavior can be overridden by marking an input file as ``ancient``. The timestamp of such files is ignored and always assumed to be older than any of the output files: .. code-block:: python rule NAME: input: ancient("path/to/inputfile") output: "path/to/outputfile" shell: "somecommand {input} {output}" Here, this means that the file ``path/to/outputfile`` will not be triggered for re-creation after it has been generated once, even when the input file is modified in the future. Note that any flag that forces re-creation of files still also applies to files marked as ``ancient``. Shadow rules ------------ Shadow rules result in each execution of the rule to be run in isolated temporary directories. This "shadow" directory contains symlinks to files and directories in the current workdir. This is useful for running programs that generate lots of unused files which you don't want to manually cleanup in your snakemake workflow. It can also be useful if you want to keep your workdir clean while the program executes, or simplify your workflow by not having to worry about unique filenames for all outputs of all rules. By setting ``shadow: "shallow"``, the top level files and directories are symlinked, so that any relative paths in a subdirectory will be real paths in the filesystem. The setting ``shadow: "full"`` fully shadows the entire subdirectory structure of the current workdir. The setting ``shadow: "minimal"`` only symlinks the inputs to the rule, and ``shadow: "copy-minimal"`` copies the inputs instead of just creating symlinks. Once the rule successfully executes, the output file will be moved if necessary to the real path as indicated by ``output``. Typically, you will not need to modify your rule for compatibility with ``shadow``, unless you reference parent directories relative to your workdir in a rule. .. code-block:: python rule NAME: input: "path/to/inputfile" output: "path/to/outputfile" shadow: "shallow" shell: "somecommand --other_outputs other.txt {input} {output}" Shadow directories are stored one per rule execution in ``.snakemake/shadow/``, and are cleared on successful execution. Consider running with the ``--cleanup-shadow`` argument every now and then to remove any remaining shadow directories from aborted jobs. The base shadow directory can be changed with the ``--shadow-prefix`` command line argument. Flag files ---------- Sometimes it is necessary to enforce some rule execution order without real file dependencies. This can be achieved by "touching" empty files that denote that a certain task was completed. Snakemake supports this via the `touch` flag: .. code-block:: python rule all: input: "mytask.done" rule mytask: output: touch("mytask.done") shell: "mycommand ..." With the ``touch`` flag, Snakemake touches (i.e. creates or updates) the file ``mytask.done`` after ``mycommand`` has finished successfully. .. _snakefiles-job_properties: Job Properties -------------- When executing a workflow on a cluster using the ``--cluster`` parameter (see below), Snakemake creates a job script for each job to execute. This script is then invoked using the provided cluster submission command (e.g. ``qsub``). Sometimes you want to provide a custom wrapper for the cluster submission command that decides about additional parameters. As this might be based on properties of the job, Snakemake stores the job properties (e.g. rule name, threads, input files, params etc.) as JSON inside the job script. For convenience, there exists a parser function ``snakemake.utils.read_job_properties`` that can be used to access the properties. The following shows an example job submission wrapper: .. code-block:: python #!/usr/bin/env python3 import os import sys from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) # do something useful with the threads threads = job_properties[threads] # access property defined in the cluster configuration file (Snakemake >=3.6.0) job_properties["cluster"]["time"] os.system("qsub -t {threads} {script}".format(threads=threads, script=jobscript)) .. _snakefiles-input_functions: Functions as Input Files ------------------------ Instead of specifying strings or lists of strings as input files, snakemake can also make use of functions that return single **or** lists of input files: .. code-block:: python def myfunc(wildcards): return [... a list of input files depending on given wildcards ...] rule: input: myfunc output: "someoutput.{somewildcard}.txt" shell: "..." The function has to accept a single argument that will be the wildcards object generated from the application of the rule to create some requested output files. Note that you can also use `lambda expressions `_ instead of full function definitions. By this, rules can have entirely different input files (both in form and number) depending on the inferred wildcards. E.g. you can assign input files that appear in entirely different parts of your filesystem based on some wildcard value and a dictionary that maps the wildcard value to file paths. Note that the function will be executed when the rule is evaluated and before the workflow actually starts to execute. Further note that using a function as input overrides the default mechanism of replacing wildcards with their values inferred from the output files. You have to take care of that yourself with the given wildcards object. Finally, when implementing the input function, it is best practice to make sure that it can properly handle all possible wildcard values your rule can have. In particular, input files should not be combined with very general rules that can be applied to create almost any file: Snakemake will try to apply the rule, and will report the exceptions of your input function as errors. For a practical example, see the :ref:`tutorial` (:ref:`tutorial-input_functions`). .. _snakefiles-unpack: Input Functions and ``unpack()`` -------------------------------- In some cases, you might want to have your input functions return named input files. This can be done by having them return ``dict()`` objects with the names as the dict keys and the file names as the dict values and using the ``unpack()`` keyword. .. code-block:: python def myfunc(wildcards): return {'foo': '{wildcards.token}.txt'.format(wildcards=wildcards)} rule: input: unpack(myfunc) output: "someoutput.{token}.txt" shell: "..." Note that ``unpack()`` is only necessary for input functions returning ``dict``. While it also works for ``list``, remember that lists (and nested lists) of strings are automatically flattened. Also note that if you do not pass in a *function* into the input list but you directly *call a function* then you shouldn't use ``unpack()``. Here, you can simply use Python's double-star (``**``) operator for unpacking the parameters. Note that as Snakefiles are translated into Python for execution, the same rules as for using the `star and double-star unpacking Python operators `_ apply. These restrictions do not apply when using ``unpack()``. .. code-block:: python def myfunc1(): return ['foo.txt'] def myfunc2(): return {'foo': 'nowildcards.txt'} rule: input: *myfunc1(), **myfunc2(), output: "..." shell: "..." .. _snakefiles-version_tracking: Version Tracking ---------------- Rules can specify a version that is tracked by Snakemake together with the output files. When the version changes snakemake informs you when using the flag ``--summary`` or ``--list-version-changes``. The version can be specified by the version directive, which takes a string: .. code-block:: python rule: input: ... output: ... version: "1.0" shell: ... The version can of course also be filled with the output of a shell command, e.g.: .. code-block:: python SOMECOMMAND_VERSION = subprocess.check_output("somecommand --version", shell=True) rule: version: SOMECOMMAND_VERSION Alternatively, you might want to use file modification times in case of local scripts: .. code-block:: python SOMECOMMAND_VERSION = str(os.path.getmtime("path/to/somescript")) rule: version: SOMECOMMAND_VERSION A re-run can be automated by invoking Snakemake as follows: .. code-block:: console $ snakemake -R `snakemake --list-version-changes` With the availability of the ``conda`` directive (see :ref:`integrated_package_management`) the ``version`` directive has become **obsolete** in favor of defining isolated software environments that can be automatically deployed via the conda package manager. .. _snakefiles-code_tracking: Code Tracking ------------- Snakemake tracks the code that was used to create your files. In combination with ``--summary`` or ``--list-code-changes`` this can be used to see what files may need a re-run because the implementation changed. Re-run can be automated by invoking Snakemake as follows: .. code-block:: console $ snakemake -R `snakemake --list-code-changes` .. _snakefiles-job_lifetime_handlers: Onstart, onsuccess and onerror handlers --------------------------------------- Sometimes, it is necessary to specify code that shall be executed when the workflow execution is finished (e.g. cleanup, or notification of the user). With Snakemake 3.2.1, this is possible via the ``onsuccess`` and ``onerror`` keywords: .. code-block:: python onsuccess: print("Workflow finished, no error") onerror: print("An error occurred") shell("mail -s "an error occurred" youremail@provider.com < {log}") The ``onsuccess`` handler is executed if the workflow finished without error. Otherwise, the ``onerror`` handler is executed. In both handlers, you have access to the variable ``log``, which contains the path to a logfile with the complete Snakemake output. Snakemake 3.6.0 adds an ``onstart`` handler, that will be executed before the workflow starts. Note that dry-runs do not trigger any of the handlers. Rule dependencies ----------------- From version 2.4.8 on, rules can also refer to the output of other rules in the Snakefile, e.g.: .. code-block:: python rule a: input: "path/to/input" output: "path/to/output" shell: ... rule b: input: rules.a.output output: "path/to/output/of/b" shell: ... Importantly, be aware that referring to rule ``a`` here requires that rule ``a`` was defined above rule ``b`` in the file, since the object has to be known already. This feature also allows us to resolve dependencies that are ambiguous when using filenames. Note that when the rule you refer to defines multiple output files but you want to require only a subset of those as input for another rule, you should name the output files and refer to them specifically: .. code-block:: python rule a: input: "path/to/input" output: a = "path/to/output", b = "path/to/output2" shell: ... rule b: input: rules.a.output.a output: "path/to/output/of/b" shell: ... .. _snakefiles-ambiguous-rules: Handling Ambiguous Rules ------------------------ When two rules can produce the same output file, snakemake cannot decide which one to use without additional guidance. Hence an ``AmbiguousRuleException`` is thrown. Note: ruleorder is not intended to bring rules in the correct execution order (this is solely guided by the names of input and output files you use), it only helps snakemake to decide which rule to use when multiple ones can create the same output file! To deal with such ambiguity, provide a ``ruleorder`` for the conflicting rules, e.g. .. code-block:: python ruleorder: rule1 > rule2 > rule3 Here, ``rule1`` is preferred over ``rule2`` and ``rule3``, and ``rule2`` is preferred over ``rule3``. Only if rule1 and rule2 cannot be applied (e.g. due to missing input files), rule3 is used to produce the desired output file. Alternatively, rule dependencies (see above) can also resolve ambiguities. Another (quick and dirty) possiblity is to tell snakemake to allow ambiguity via a command line option .. code-block:: console $ snakemake --allow-ambiguity such that similar to GNU Make always the first matching rule is used. Here, a warning that summarizes the decision of snakemake is provided at the terminal. .. _snakefiles-local-rules: Local Rules ----------- When working in a cluster environment, not all rules need to become a job that has to be submitted (e.g. downloading some file, or a target-rule like `all`, see :ref:`snakefiles-targets`). The keyword `localrules` allows to mark a rule as local, so that it is not submitted to the cluster and instead executed on the host node: .. code-block:: python localrules: all, foo rule all: input: ... rule foo: ... rule bar: ... Here, only jobs from the rule ``bar`` will be submitted to the cluster, whereas all and foo will be run locally. Note that you can use the localrules directive **multiple times**. The result will be the union of all declarations. Benchmark Rules --------------- Since version 3.1, Snakemake provides support for benchmarking the run times of rules. This can be used to create complex performance analysis pipelines. With the `benchmark` keyword, a rule can be declared to store a benchmark of its code into the specified location. E.g. the rule .. code-block:: python rule benchmark_command: input: "path/to/input.{sample}.txt" output: "path/to/output.{sample}.txt" benchmark: "benchmarks/somecommand/{sample}.tsv" shell: "somecommand {input} {output}" benchmarks the CPU and wall clock time of the command ``somecommand`` for the given output and input files. For this, the shell or run body of the rule is executed on that data, and all run times are stored into the given benchmark tsv file (which will contain a tab-separated table of run times and memory usage in MiB). Per default, Snakemake executes the job once, generating one run time. However, the benchmark file can be annotated with the desired number of repeats, e.g., .. code-block:: python rule benchmark_command: input: "path/to/input.{sample}.txt" output: "path/to/output.{sample}.txt" benchmark: repeat("benchmarks/somecommand/{sample}.tsv", 3) shell: "somecommand {input} {output}" will instruct Snakemake to run each job of this rule three times and store all measurements in the benchmark file. The resulting tsv file can be used as input for other rules, just like any other output file. .. sidebar:: Note Note that benchmarking is only possible in a reliable fashion for subprocesses (thus for tasks run through the ``shell``, ``script``, and ``wrapper`` directive). In the ``run`` block, the variable ``bench_record`` is available that you can pass to ``shell()`` as ``bench_record=bench_record``. When using ``shell(..., bench_record=bench_record)``, the maximum of all measurements of all ``shell()`` calls will be used but the running time of the rule execution including any Python code. .. _snakefiles-scattergather: Defining scatter-gather processes --------------------------------- Via Snakemake's powerful and abitrary Python based aggregation abilities (via the ``expand`` function and arbitrary Python code, see :ref:`here `), scatter-gather workflows well supported. Nevertheless, it can sometimes be handy to use Snakemake's specific scatter-gather support, which allows to avoid boilerplate and offers additional configuration options. Scatter-gather processes can be defined via a global ``scattergather`` directive: .. code-block:: python scattergather: split=8 Each process thereby defines a name (here e.g. ``split``) and a default number of scatter items. Then, scattering and gathering can be implemented by using globally available ``scatter`` and ``gather`` objects: .. code-block:: python rule all: input: "gathered/all.txt" rule split: output: scatter.split("splitted/{scatteritem}.txt") shell: "touch {output}" rule intermediate: input: "splitted/{scatteritem}.txt" output: "splitted/{scatteritem}.post.txt" shell: "cp {input} {output}" rule gather: input: gather.split("splitted/{scatteritem}.post.txt") output: "gathered/all.txt" shell: "cat {input} > {output}" Thereby, ``scatter.split("splitted/{scatteritem}.txt")`` yields a list of paths ``"splitted/1-of-n.txt"``, ``"splitted/2-of-n.txt"``, ..., depending on the number ``n`` of scatter items defined. Analogously, ``gather.split("splitted/{scatteritem}.post.txt")``, yields a list of paths ``"splitted/0.post.txt"``, ``"splitted/1.pos.txt"``, ..., which request the application of the rule ``intermediate`` to each scatter item. The default number of scatter items can be overwritten via the command line interface. For example .. code-block:: bash snakemake --set-scatter split=2 would set the number of scatter items for the split process defined above to 2 instead of 8. This allows to adapt parallelization according to the needs of the underlying computing platform and the analysis at hand. .. _snakefiles-grouping: Defining groups for execution ----------------------------- From Snakemake 5.0 on, it is possible to assign rules to groups. Such groups will be executed together in **cluster** or **cloud mode**, as a so-called **group job**, i.e., all jobs of a particular group will be submitted at once, to the same computing node. When executing locally, group definitions are ignored. Groups can be defined via the ``group`` keyword. This way, queueing and execution time can be saved, in particular if one or several short-running rules are involved. .. code-block:: python samples = [1,2,3,4,5] rule all: input: "test.out" rule a: output: "a/{sample}.out" group: "mygroup" shell: "touch {output}" rule b: input: "a/{sample}.out" output: "b/{sample}.out" group: "mygroup" shell: "touch {output}" rule c: input: expand("b/{sample}.out", sample=samples) output: "test.out" shell: "touch {output}" Here, jobs from rule ``a`` and ``b`` end up in one group ``mygroup``, whereas jobs from rule ``c`` are executed separately. Note that Snakemake always determines a **connected subgraph** with the same group id to be a **group job**. Here, this means that, e.g., the jobs creating ``a/1.out`` and ``b/1.out`` will be in one group, and the jobs creating ``a/2.out`` and ``b/2.out`` will be in a separate group. However, if we would add ``group: "mygroup"`` to rule ``c``, all jobs would end up in a single group, including the one spawned from rule ``c``, because ``c`` connects all the other jobs. Alternatively, groups can be defined via the command line interface. This enables to almost arbitrarily partition the DAG, e.g. in order to safe network traffic, see :ref:`here `. For execution on the cloud using Google Life Science API and preemptible instances, we expect all rules in the group to be homogenously set as preemptible instances (e.g., with command-line option ``--preemptible-rules``), such that a preemptible VM is requested for the execution of the group job. Piped output ------------ From Snakemake 5.0 on, it is possible to mark output files as pipes, via the ``pipe`` flag, e.g.: .. code-block:: python rule all: input: expand("test.{i}.out", i=range(2)) rule a: output: pipe("test.{i}.txt") shell: "for i in {{0..2}}; do echo {wildcards.i} >> {output}; done" rule b: input: "test.{i}.txt" output: "test.{i}.out" shell: "grep {wildcards.i} < {input} > {output}" If an output file is marked to be a pipe, then Snakemake will first create a `named pipe `_ with the given name and then execute the creating job simultaneously with the consuming job, inside a **group job** (see above). This works in all execution modes, local, cluster, and cloud. Naturally, a pipe output may only have a single consumer. It is possible to combine explicit group definition as above with pipe outputs. Thereby, pipe jobs can live within, or (automatically) extend existing groups. However, the two jobs connected by a pipe may not exist in conflicting groups. .. _snakefiles-paramspace: Parameter space exploration --------------------------- The basic Snakemake functionality already provides everything to handle parameter spaces in any way (sub-spacing for certain rules and even depending on wildcard values, the ability to read or generate spaces on the fly or from files via pandas, etc.). However, it usually would require some boilerplate code for translating a parameter space into wildcard patterns, and translate it back into concrete parameters for scripts and commands. From Snakemake 5.31 on (inspired by `JUDI `_), this is solved via the Paramspace helper, which can be used as follows: .. code-block:: python from snakemake.utils import Paramspace import pandas as pd # declare a dataframe to be a paramspace paramspace = Paramspace(pd.read_csv("params.tsv", sep="\t")) rule all: input: # Aggregate over entire parameter space (or a subset thereof if needed) # of course, something like this can happen anywhere in the workflow (not # only at the end). expand("results/plots/{params}.pdf", params=paramspace.instance_patterns) rule simulate: output: # format a wildcard pattern like "alpha~{alpha}/beta~{beta}/gamma~{gamma}" # into a file path, with alpha, beta, gamma being the columns of the data frame f"results/simulations/{paramspace.wildcard_pattern}.tsv" params: # automatically translate the wildcard values into an instance of the param space # in the form of a dict (here: {"alpha": ..., "beta": ..., "gamma": ...}) simulation=paramspace.instance script: "scripts/simulate.py" rule plot: input: f"results/simulations/{paramspace.wildcard_pattern}.tsv" output: f"results/plots/{paramspace.wildcard_pattern}.pdf" shell: "touch {output}" In above example, **please note** the Python ``f``-string formatting (the ``f`` before the initial quotes) applied to the input and output file strings that contain ``paramspace.wildcard_pattern``. This means that the file that is registered as input or output file by Snakemake does not contain a wildcard ``{paramspace.wildcard_pattern}``, but instead this item is replaced by a pattern of multiple wildcards derived from the columns of the paramter space dataframe. This is done by the Python ``f``-string formatting before the string is registered in the rule. Given that `params.tsv` contains: .. code-block:: none alpha beta gamma 1.0 0.1 0.99 2.0 0.0 3.9 This workflow will run as follows: .. code-block:: none [Fri Nov 27 20:57:27 2020] rule simulate: output: results/simulations/alpha~2.0/beta~0.0/gamma~3.9.tsv jobid: 4 wildcards: alpha=2.0, beta=0.0, gamma=3.9 [Fri Nov 27 20:57:27 2020] rule simulate: output: results/simulations/alpha~1.0/beta~0.1/gamma~0.99.tsv jobid: 2 wildcards: alpha=1.0, beta=0.1, gamma=0.99 [Fri Nov 27 20:57:27 2020] rule plot: input: results/simulations/alpha~2.0/beta~0.0/gamma~3.9.tsv output: results/plots/alpha~2.0/beta~0.0/gamma~3.9.pdf jobid: 3 wildcards: alpha=2.0, beta=0.0, gamma=3.9 [Fri Nov 27 20:57:27 2020] rule plot: input: results/simulations/alpha~1.0/beta~0.1/gamma~0.99.tsv output: results/plots/alpha~1.0/beta~0.1/gamma~0.99.pdf jobid: 1 wildcards: alpha=1.0, beta=0.1, gamma=0.99 [Fri Nov 27 20:57:27 2020] localrule all: input: results/plots/alpha~1.0/beta~0.1/gamma~0.99.pdf, results/plots/alpha~2.0/beta~0.0/gamma~3.9.pdf jobid: 0 Naturally, it is possible to create sub-spaces from ``Paramspace`` objects, simply by applying all the usual methods and attributes that Pandas data frames provide (e.g. ``.loc[...]``, ``.filter()`` etc.). Further, the form of the created ``wildcard_pattern`` can be controlled via additional arguments of the ``Paramspace`` constructor (see :ref:`utils-api`). .. _snakefiles-checkpoints: Data-dependent conditional execution ------------------------------------ From Snakemake 5.4 on, conditional reevaluation of the DAG of jobs based on the content outputs is possible. The key idea is that rules can be declared as checkpoints, e.g., .. code-block:: python checkpoint somestep: input: "samples/{sample}.txt" output: "somestep/{sample}.txt" shell: "somecommand {input} > {output}" Snakemake allows to re-evaluate the DAG after the successful execution of every job spawned from a checkpoint. For this, every checkpoint is registered by its name in a globally available ``checkpoints`` object. The ``checkpoints`` object can be accessed by :ref:`input functions `. Assuming that the checkpoint is named ``somestep`` as above, the output files for a particular job can be retrieved with .. code-block:: python checkpoints.somestep.get(sample="a").output .. sidebar:: Note Note that output files of checkpoints that are accessed via this mechanism should not be marked as temporary. Otherwise, they would require to trigger reruns of the checkpoint whenever the DAG shall be reevaluated (because they are already missing at that point). Thereby, the ``get`` method throws ``snakemake.exceptions.IncompleteCheckpointException`` if the checkpoint has not yet been executed for these particular wildcard value(s). Inside an input function, the exception will be automatically handled by Snakemake, and leads to a re-evaluation after the checkpoint has been successfully passed. To illustrate the possibilities of this mechanism, consider the following complete example: .. code-block:: python # a target rule to define the desired final output rule all: input: "aggregated/a.txt", "aggregated/b.txt" # the checkpoint that shall trigger re-evaluation of the DAG checkpoint somestep: input: "samples/{sample}.txt" output: "somestep/{sample}.txt" shell: # simulate some output value "echo {wildcards.sample} > somestep/{wildcards.sample}.txt" # intermediate rule rule intermediate: input: "somestep/{sample}.txt" output: "post/{sample}.txt" shell: "touch {output}" # alternative intermediate rule rule alt_intermediate: input: "somestep/{sample}.txt" output: "alt/{sample}.txt" shell: "touch {output}" # input function for the rule aggregate def aggregate_input(wildcards): # decision based on content of output file # Important: use the method open() of the returned file! # This way, Snakemake is able to automatically download the file if it is generated in # a cloud environment without a shared filesystem. with checkpoints.somestep.get(sample=wildcards.sample).output[0].open() as f: if f.read().strip() == "a": return "post/{sample}.txt" else: return "alt/{sample}.txt" rule aggregate: input: aggregate_input output: "aggregated/{sample}.txt" shell: "touch {output}" As can be seen, the rule aggregate uses an input function. Inside the function, we first retrieve the output files of the checkpoint ``somestep`` with the wildcards, passing through the value of the wildcard sample. Upon execution, if the checkpoint is not yet complete, Snakemake will record ``somestep`` as a direct dependency of the rule ``aggregate``. Once ``somestep`` has finished for a given sample, the input function will automatically be re-evaluated and the method ``get`` will no longer return an exception. Instead, the output file will be opened, and depending on its contents either ``"post/{sample}.txt"`` or ``"alt/{sample}.txt"`` will be returned by the input function. This way, the DAG becomes conditional on some produced data. It is also possible to use checkpoints for cases where the output files are unknown before execution. A typical example is a clustering process with an unknown number of clusters, where each cluster shall be saved into a separate file. Consider the following example: .. code-block:: python # a target rule to define the desired final output rule all: input: "aggregated/a.txt", "aggregated/b.txt" # the checkpoint that shall trigger re-evaluation of the DAG checkpoint clustering: input: "samples/{sample}.txt" output: clusters=directory("clustering/{sample}") shell: "mkdir clustering/{wildcards.sample}; " "for i in 1 2 3; do echo $i > clustering/{wildcards.sample}/$i.txt; done" # an intermediate rule rule intermediate: input: "clustering/{sample}/{i}.txt" output: "post/{sample}/{i}.txt" shell: "cp {input} {output}" def aggregate_input(wildcards): checkpoint_output = checkpoints.clustering.get(**wildcards).output[0] return expand("post/{sample}/{i}.txt", sample=wildcards.sample, i=glob_wildcards(os.path.join(checkpoint_output, "{i}.txt")).i) # an aggregation over all produced clusters rule aggregate: input: aggregate_input output: "aggregated/{sample}.txt" shell: "cat {input} > {output}" Here, our checkpoint simulates a clustering. We pretend that the number of clusters is unknown beforehand. Hence, the checkpoint only defines an output ``directory``. The rule ``aggregate`` again uses the ``checkpoints`` object to retrieve the output of the checkpoint. This time, instead of explicitly writing .. code-block:: python checkpoints.clustering.get(sample=wildcards.sample).output[0] we use the shorthand .. code-block:: python checkpoints.clustering.get(**wildcards).output[0] which automatically unpacks the wildcards as keyword arguments (this is standard python argument unpacking). If the checkpoint has not yet been executed, accessing ``checkpoints.clustering.get(**wildcards)`` ensure that Snakemake records the checkpoint as a direct dependency of the rule ``aggregate``. Upon completion of the checkpoint, the input function is re-evaluated, and the code beyond its first line is executed. Here, we retrieve the values of the wildcard ``i`` based on all files named ``{i}.txt`` in the output directory of the checkpoint. These values are then used to expand the pattern ``"post/{sample}/{i}.txt"``, such that the rule ``intermediate`` is executed for each of the determined clusters. .. _snakefiles-rule-inheritance: Rule inheritance ---------------- With Snakemake 6.0 and later, it is possible to inherit from previously defined rules, or in other words, reuse an existing rule in a modified way. This works via the ``use rule`` statement that also allows to declare the usage of rules from external modules (see :ref:`snakefiles-modules`). Consider the following example: .. code-block:: python rule a: output: "test.out" shell: "echo test > {output}" use rule a as b with: output: "test2.out" As can be seen, we first declare a rule a, and then we reuse the rule a as rule b, while changing only the output file and keeping everything else the same. In reality, one will often change more. Analogously to the ``use rule`` from external modules, any properties of the rule (``input``, ``output``, ``log``, ``params``, ``benchmark``, ``threads``, ``resources``, etc.) can be modified, except the actual execution step (``shell``, ``notebook``, ``script``, ``cwl``, or ``run``). All unmodified properties are inherited from the parent rule. .. _snakefiles-aux_source_files: Accessing auxiliary source files -------------------------------- Snakemake workflows can refer to various other source files via paths relative to the current Snakefile. This happens for example with the :ref:`script directive ` or the :ref:`conda directive `. Sometimes, it is necessary to access further source files that are in a directory relative to the current Snakefile. Since workflows can be imported from remote locations (e.g. when using :ref:`modules `), it is important to not do this manually, so that Snakemake has the chance to cache these files locally before they are accessed. This can be achieved by accessing their path via the ``workflow.get_source``, which (a) computes the correct path relative to the current Snakefile such that the file can be accessed from any working directory, and (b) downloads remote files to a local cache: .. code-block:: python rule a: output: "test.out" params: json=workflow.source_path("../resources/test.json") shell: "somecommand {params.json} > {output}" snakemake-6.15.1/docs/snakefiles/testing.rst000066400000000000000000000030301417574166400210410ustar00rootroot00000000000000.. _snakefiles-testing: =================================== Automatically generating unit tests =================================== Snakemake can automatically generate unit tests from a workflow that has already been successfully executed. By running .. code-block:: bash snakemake --generate-unit-tests Snakemake is instructed to take one representative job for each rule and copy its input files to a hidden folder ``.tests/unit``, along with generating test cases for Pytest_. Importantly, note that such unit tests shall not be generated from big data, as they should usually be finished in a few seconds. Further, it makes sense to store the generated unit tests in version control (e.g. git), such that huge files are not recommended. Instead, we suggest to first execute the workflow that shall be tested with some kind of small dummy datasets, and then use the results thereof to generate the unit tests. The small dummy datasets can in addition be used to generate an integration test, that could e.g. be stored under ``.tests/integration``, next to the unit tests. Each auto-generated unit test is stored in a file ``.tests/unit/test_.py``, and executes just the one representative job of the respective rule. After successfull execution of the job, it will compare the obtained results with those that have been present when running ``snakemake --generate-unit-tests``. By default, the comparison happens byte by byte (using ``cmp``). This behavior can be overwritten by modifying the test file. .. _Pytest: https://pytest.orgsnakemake-6.15.1/docs/snakefiles/utils.rst000066400000000000000000000003061417574166400205270ustar00rootroot00000000000000.. _snakefiles-utils: ===== Utils ===== The module ``snakemake.utils`` provides a collection of helper functions for common tasks in Snakemake workflows. Details can be found in :ref:`utils-api`. snakemake-6.15.1/docs/snakefiles/writing_snakefiles.rst000066400000000000000000000055401417574166400232630ustar00rootroot00000000000000.. _user_manual-writing_snakefiles: ================= Writing Workflows ================= In Snakemake, workflows are specified as Snakefiles. Inspired by GNU Make, a Snakefile contains rules that denote how to create output files from input files. Dependencies between rules are handled implicitly, by matching filenames of input files against output files. Thereby wildcards can be used to write general rules. .. _snakefiles-grammar: ------- Grammar ------- The Snakefile syntax obeys the following grammar, given in extended Backus-Naur form (EBNF) .. code-block:: text snakemake = statement | rule | include | workdir | module | configfile | container rule = "rule" (identifier | "") ":" ruleparams include = "include:" stringliteral workdir = "workdir:" stringliteral module = "module" identifier ":" moduleparams configfile = "configfile" ":" stringliteral userule = "use" "rule" (identifier | "*") "from" identifier ["as" identifier] ["with" ":" norunparams] ni = NEWLINE INDENT norunparams = [ni input] [ni output] [ni params] [ni message] [ni threads] [ni resources] [ni log] [ni conda] [ni container] [ni benchmark] [ni cache] ruleparams = norunparams [ni (run | shell | script | notebook)] NEWLINE snakemake input = "input" ":" parameter_list output = "output" ":" parameter_list params = "params" ":" parameter_list log = "log" ":" parameter_list benchmark = "benchmark" ":" statement cache = "cache" ":" bool message = "message" ":" stringliteral threads = "threads" ":" integer resources = "resources" ":" parameter_list version = "version" ":" statement conda = "conda" ":" stringliteral container = "container" ":" stringliteral run = "run" ":" ni statement shell = "shell" ":" stringliteral script = "script" ":" stringliteral notebook = "notebook" ":" stringliteral moduleparams = [ni snakefile] [ni metawrapper] [ni config] [ni skipval] snakefile = "snakefile" ":" stringliteral metawrapper = "meta_wrapper" ":" stringliteral config = "config" ":" stringliteral skipval = "skip_validation" ":" stringliteral while all not defined non-terminals map to their Python equivalents. .. _snakefiles-depend_version: Depend on a Minimum Snakemake Version ------------------------------------- From Snakemake 3.2 on, if your workflow depends on a minimum Snakemake version, you can easily ensure that at least this version is installed via .. code-block:: python from snakemake.utils import min_version min_version("3.2") given that your minimum required version of Snakemake is 3.2. The statement will raise a WorkflowError (and therefore abort the workflow execution) if the version is not met.snakemake-6.15.1/docs/tutorial/000077500000000000000000000000001417574166400163555ustar00rootroot00000000000000snakemake-6.15.1/docs/tutorial/additional_features.rst000066400000000000000000000321601417574166400231170ustar00rootroot00000000000000.. tutorial-additional_features: Additional features ------------------- .. _Snakemake: https://snakemake.readthedocs.io .. _Snakemake homepage: https://snakemake.readthedocs.io .. _GNU Make: https://www.gnu.org/software/make .. _Python: https://www.python.org .. _BWA: http://bio-bwa.sourceforge.net .. _SAMtools: https://www.htslib.org .. _BCFtools: https://www.htslib.org .. _Pandas: https://pandas.pydata.org .. _Miniconda: https://conda.pydata.org/miniconda.html .. _Conda: https://conda.pydata.org .. _Bash: https://www.tldp.org/LDP/Bash-Beginners-Guide/html .. _Atom: https://atom.io .. _Anaconda: https://anaconda.org .. _Graphviz: https://www.graphviz.org .. _RestructuredText: https://docutils.sourceforge.io/docs/user/rst/quickstart.html .. _data URI: https://developer.mozilla.org/en-US/docs/Web/HTTP/data_URIs .. _JSON: https://json.org .. _YAML: https://yaml.org .. _DRMAA: https://www.drmaa.org .. _rpy2: https://rpy2.github.io .. _R: https://www.r-project.org .. _Rscript: https://stat.ethz.ch/R-manual/R-devel/library/utils/html/Rscript.html .. _PyYAML: https://pyyaml.org .. _Docutils: https://docutils.sourceforge.io .. _Bioconda: https://bioconda.github.io .. _Vagrant: https://www.vagrantup.com .. _Vagrant Documentation: https://docs.vagrantup.com .. _Blogpost: https://blog.osteel.me/posts/2015/01/25/how-to-use-vagrant-on-windows.html .. _slides: https://slides.com/johanneskoester/deck-1 In the following, we introduce some features that are beyond the scope of above example workflow. For details and even more features, see :ref:`user_manual-writing_snakefiles`, :ref:`project_info-faq` and the command line help (``snakemake --help``). Benchmarking :::::::::::: With the ``benchmark`` directive, Snakemake can be instructed to **measure the wall clock time of a job**. We activate benchmarking for the rule ``bwa_map``: .. code:: python rule bwa_map: input: "data/genome.fa", lambda wildcards: config["samples"][wildcards.sample] output: temp("mapped_reads/{sample}.bam") params: rg="@RG\tID:{sample}\tSM:{sample}" log: "logs/bwa_mem/{sample}.log" benchmark: "benchmarks/{sample}.bwa.benchmark.txt" threads: 8 shell: "(bwa mem -R '{params.rg}' -t {threads} {input} | " "samtools view -Sb - > {output}) 2> {log}" The ``benchmark`` directive takes a string that points to the file where benchmarking results shall be stored. Similar to output files, the path can contain wildcards (it must be the same wildcards as in the output files). When a job derived from the rule is executed, Snakemake will measure the wall clock time and memory usage (in MiB) and store it in the file in tab-delimited format. It is possible to repeat a benchmark multiple times in order to get a sense for the variability of the measurements. This can be done by annotating the benchmark file, e.g., with ``repeat("benchmarks/{sample}.bwa.benchmark.txt", 3)`` Snakemake can be told to run the job three times. The repeated measurements occur as subsequent lines in the tab-delimited benchmark file. Modularization :::::::::::::: In order to re-use building blocks or simply to structure large workflows, it is sometimes reasonable to **split a workflow into modules**. For this, Snakemake provides the ``include`` directive to include another Snakefile into the current one, e.g.: .. code:: python include: "path/to/other.snakefile" Alternatively, Snakemake allows to **define sub-workflows**. A sub-workflow refers to a working directory with a complete Snakemake workflow. Output files of that sub-workflow can be used in the current Snakefile. When executing, Snakemake ensures that the output files of the sub-workflow are up-to-date before executing the current workflow. This mechanism is particularly useful when you want to extend a previous analysis without modifying it. For details about sub-workflows, see the :ref:`documentation `. Exercise ........ * Put the read mapping related rules into a separate Snakefile and use the ``include`` directive to make them available in our example workflow again. .. _tutorial-conda: Automatic deployment of software dependencies ::::::::::::::::::::::::::::::::::::::::::::: In order to get a fully reproducible data analysis, it is not sufficient to be able to execute each step and document all used parameters. The used software tools and libraries have to be documented as well. In this tutorial, you have already seen how Conda_ can be used to specify an isolated software environment for a whole workflow. With Snakemake, you can go one step further and specify Conda environments per rule. This way, you can even make use of conflicting software versions (e.g. combine Python 2 with Python 3). In our example, instead of using an external environment we can specify environments per rule, e.g.: .. code:: python rule samtools_index: input: "sorted_reads/{sample}.bam" output: "sorted_reads/{sample}.bam.bai" conda: "envs/samtools.yaml" shell: "samtools index {input}" with ``envs/samtools.yaml`` defined as .. code:: yaml channels: - bioconda - conda-forge dependencies: - samtools =1.9 .. sidebar:: Note The conda directive does not work in combination with ``run`` blocks, because they have to share their Python environment with the surrounding snakefile. When Snakemake is executed with .. code:: console snakemake --use-conda --cores 1 it will automatically create required environments and activate them before a job is executed. It is best practice to specify at least the `major and minor version `_ of any packages in the environment definition. Specifying environments per rule in this way has two advantages. First, the workflow definition also documents all used software versions. Second, a workflow can be re-executed (without admin rights) on a vanilla system, without installing any prerequisites apart from Snakemake and Miniconda_. Tool wrappers ::::::::::::: In order to simplify the utilization of popular tools, Snakemake provides a repository of so-called wrappers (the `Snakemake wrapper repository `_). A wrapper is a short script that wraps (typically) a command line application and makes it directly addressable from within Snakemake. For this, Snakemake provides the ``wrapper`` directive that can be used instead of ``shell``, ``script``, or ``run``. For example, the rule ``bwa_map`` could alternatively look like this: .. code:: python rule bwa_mem: input: ref="data/genome.fa", sample=lambda wildcards: config["samples"][wildcards.sample] output: temp("mapped_reads/{sample}.bam") log: "logs/bwa_mem/{sample}.log" params: "-R '@RG\tID:{sample}\tSM:{sample}'" threads: 8 wrapper: "0.15.3/bio/bwa/mem" .. sidebar:: Note Updates to the Snakemake wrapper repository are automatically tested via `continuous integration `_. The wrapper directive expects a (partial) URL that points to a wrapper in the repository. These can be looked up in the corresponding `database `_. The first part of the URL is a Git version tag. Upon invocation, Snakemake will automatically download the requested version of the wrapper. Furthermore, in combination with ``--use-conda`` (see :ref:`tutorial-conda`), the required software will be automatically deployed before execution. Cluster execution ::::::::::::::::: By default, Snakemake executes jobs on the local machine it is invoked on. Alternatively, it can execute jobs in **distributed environments, e.g., compute clusters or batch systems**. If the nodes share a common file system, Snakemake supports three alternative execution modes. In cluster environments, compute jobs are usually submitted as shell scripts via commands like ``qsub``. Snakemake provides a **generic mode** to execute on such clusters. By invoking Snakemake with .. code:: console $ snakemake --cluster qsub --jobs 100 each job will be compiled into a shell script that is submitted with the given command (here ``qsub``). The ``--jobs`` flag limits the number of concurrently submitted jobs to 100. This basic mode assumes that the submission command returns immediately after submitting the job. Some clusters allow to run the submission command in **synchronous mode**, such that it waits until the job has been executed. In such cases, we can invoke e.g. .. code:: console $ snakemake --cluster-sync "qsub -sync yes" --jobs 100 The specified submission command can also be **decorated with additional parameters taken from the submitted job**. For example, the number of used threads can be accessed in braces similarly to the formatting of shell commands, e.g. .. code:: console $ snakemake --cluster "qsub -pe threaded {threads}" --jobs 100 Alternatively, Snakemake can use the Distributed Resource Management Application API (DRMAA_). This API provides a common interface to control various resource management systems. The **DRMAA support** can be activated by invoking Snakemake as follows: .. code:: console $ snakemake --drmaa --jobs 100 If available, **DRMAA is preferable over the generic cluster modes** because it provides better control and error handling. To support additional cluster specific parametrization, a Snakefile can be complemented by a :ref:`snakefiles-cluster_configuration` file. Using --cluster-status :::::::::::::::::::::: Sometimes you need specific detection to determine if a cluster job completed successfully, failed or is still running. Error detection with ``--cluster`` can be improved for edge cases such as timeouts and jobs exceeding memory that are silently terminated by the queueing system. This can be achieved with the ``--cluster-status`` option. The value of this option should be a executable script which takes a job id as the first argument and prints to stdout only one of [running|success|failed]. Importantly, the job id snakemake passes on is captured from the stdout of the cluster submit tool. This string will often include more than the job id, but snakemake does not modify this string and will pass this string to the status script unchanged. In the situation where snakemake has received more than the job id these are 3 potential solutions to consider: parse the string received by the script and extract the job id within the script, wrap the submission tool to intercept its stdout and return just the job code, or ideally, the cluster may offer an option to only return the job id upon submission and you can instruct snakemake to use that option. For sge this would look like ``snakemake --cluster "qsub -terse"``. The following (simplified) script detects the job status on a given SLURM cluster (>= 14.03.0rc1 is required for ``--parsable``). .. code:: python #!/usr/bin/env python import subprocess import sys jobid = sys.argv[1] output = str(subprocess.check_output("sacct -j %s --format State --noheader | head -1 | awk '{print $1}'" % jobid, shell=True).strip()) running_status=["PENDING", "CONFIGURING", "COMPLETING", "RUNNING", "SUSPENDED"] if "COMPLETED" in output: print("success") elif any(r in output for r in running_status): print("running") else: print("failed") To use this script call snakemake similar to below, where ``status.py`` is the script above. .. code:: console $ snakemake all --jobs 100 --cluster "sbatch --cpus-per-task=1 --parsable" --cluster-status ./status.py Constraining wildcards :::::::::::::::::::::: Snakemake uses regular expressions to match output files to input files and determine dependencies between the jobs. Sometimes it is useful to constrain the values a wildcard can have. This can be achieved by adding a regular expression that describes the set of allowed wildcard values. For example, the wildcard ``sample`` in the output file ``"sorted_reads/{sample}.bam"`` can be constrained to only allow alphanumeric sample names as ``"sorted_reads/{sample,[A-Za-z0-9]+}.bam"``. Constraints may be defined per rule or globally using the ``wildcard_constraints`` keyword, as demonstrated in :ref:`snakefiles-wildcards`. This mechanism helps to solve two kinds of ambiguity. * It can help to avoid ambiguous rules, i.e. two or more rules that can be applied to generate the same output file. Other ways of handling ambiguous rules are described in the Section :ref:`snakefiles-ambiguous-rules`. * It can help to guide the regular expression based matching so that wildcards are assigned to the right parts of a file name. Consider the output file ``{sample}.{group}.txt`` and assume that the target file is ``A.1.normal.txt``. It is not clear whether ``dataset="A.1"`` and ``group="normal"`` or ``dataset="A"`` and ``group="1.normal"`` is the right assignment. Here, constraining the dataset wildcard by ``{sample,[A-Z]+}.{group}`` solves the problem. When dealing with ambiguous rules, it is best practice to first try to solve the ambiguity by using a proper file structure, for example, by separating the output files of different steps in different directories. snakemake-6.15.1/docs/tutorial/advanced.rst000066400000000000000000000413311417574166400206560ustar00rootroot00000000000000.. tutorial-advanced: Advanced: Decorating the example workflow ----------------------------------------- .. _Snakemake: https://snakemake.readthedocs.io .. _Snakemake homepage: https://snakemake.readthedocs.io .. _GNU Make: https://www.gnu.org/software/make .. _Python: https://www.python.org .. _BWA: http://bio-bwa.sourceforge.net .. _SAMtools: https://www.htslib.org .. _BCFtools: https://www.htslib.org .. _Pandas: https://pandas.pydata.org .. _Miniconda: https://conda.pydata.org/miniconda.html .. _Conda: https://conda.pydata.org .. _Bash: https://www.tldp.org/LDP/Bash-Beginners-Guide/html .. _Atom: https://atom.io .. _Anaconda: https://anaconda.org .. _Graphviz: https://www.graphviz.org .. _RestructuredText: https://docutils.sourceforge.io/docs/user/rst/quickstart.html .. _data URI: https://developer.mozilla.org/en-US/docs/Web/HTTP/data_URIs .. _JSON: https://json.org .. _YAML: https://yaml.org .. _DRMAA: https://www.drmaa.org .. _rpy2: https://rpy2.github.io .. _R: https://www.r-project.org .. _Rscript: https://stat.ethz.ch/R-manual/R-devel/library/utils/html/Rscript.html .. _PyYAML: https://pyyaml.org .. _Docutils: https://docutils.sourceforge.io .. _Bioconda: https://bioconda.github.io .. _Vagrant: https://www.vagrantup.com .. _Vagrant Documentation: https://docs.vagrantup.com .. _Blogpost: https://blog.osteel.me/posts/2015/01/25/how-to-use-vagrant-on-windows.html .. _slides: https://slides.com/johanneskoester/deck-1 Now that the basic concepts of Snakemake have been illustrated, we can introduce some advanced functionality. Step 1: Specifying the number of used threads ::::::::::::::::::::::::::::::::::::::::::::: For some tools, it is advisable to use more than one thread in order to speed up the computation. **Snakemake can be made aware of the threads a rule needs** with the ``threads`` directive. In our example workflow, it makes sense to use multiple threads for the rule ``bwa_map``: .. code:: python rule bwa_map: input: "data/genome.fa", "data/samples/{sample}.fastq" output: "mapped_reads/{sample}.bam" threads: 8 shell: "bwa mem -t {threads} {input} | samtools view -Sb - > {output}" The number of threads can be propagated to the shell command with the familiar braces notation (i.e. ``{threads}``). If no ``threads`` directive is given, a rule is assumed to need 1 thread. When a workflow is executed, **the number of threads the jobs need is considered by the Snakemake scheduler**. In particular, the scheduler ensures that the sum of the threads of all jobs running at the same time does not exceed a given number of available CPU cores. This number is given with the ``--cores`` command line argument, which is mandatory for ``snakemake`` calls that actually run the workflow. For example .. code:: console $ snakemake --cores 10 .. sidebar:: Note Apart from the very common thread resource, Snakemake provides a ``resources`` directive that can be used to **specify arbitrary resources**, e.g., memory usage or auxiliary computing devices like GPUs. Similar to threads, these can be considered by the scheduler when an available amount of that resource is given with the command line argument ``--resources`` (see :ref:`snakefiles-resources`). would execute the workflow with 10 cores. Since the rule ``bwa_map`` needs 8 threads, only one job of the rule can run at a time, and the Snakemake scheduler will try to saturate the remaining cores with other jobs like, e.g., ``samtools_sort``. The threads directive in a rule is interpreted as a maximum: when **less cores than threads** are provided, the number of threads a rule uses will be **reduced to the number of given cores**. If ``--cores`` is given without a number, all available cores are used. Exercise ........ * With the flag ``--forceall`` you can enforce a complete re-execution of the workflow. Combine this flag with different values for ``--cores`` and examine how the scheduler selects jobs to run in parallel. Step 2: Config files :::::::::::::::::::: So far, we specified which samples to consider by providing a Python list in the Snakefile. However, often you want your workflow to be customizable, so that it can easily be adapted to new data. For this purpose, Snakemake provides a `config file mechanism `_. Config files can be written in JSON_ or YAML_, and are used with the ``configfile`` directive. In our example workflow, we add the line .. code:: python configfile: "config.yaml" to the top of the Snakefile. Snakemake will load the config file and store its contents into a globally available `dictionary `_ named ``config``. In our case, it makes sense to specify the samples in ``config.yaml`` as .. code:: yaml samples: A: data/samples/A.fastq B: data/samples/B.fastq Now, we can remove the statement defining ``SAMPLES`` from the Snakefile and change the rule ``bcftools_call`` to .. code:: python rule bcftools_call: input: fa="data/genome.fa", bam=expand("sorted_reads/{sample}.bam", sample=config["samples"]), bai=expand("sorted_reads/{sample}.bam.bai", sample=config["samples"]) output: "calls/all.vcf" shell: "samtools mpileup -g -f {input.fa} {input.bam} | " "bcftools call -mv - > {output}" .. _tutorial-input_functions: Step 3: Input functions ::::::::::::::::::::::: Since we have stored the path to the FASTQ files in the config file, we can also generalize the rule ``bwa_map`` to use these paths. This case is different to the rule ``bcftools_call`` we modified above. To understand this, it is important to know that Snakemake workflows are executed in three phases. 1. In the **initialization** phase, the files defining the workflow are parsed and all rules are instantiated. 2. In the **DAG** phase, the directed acyclic dependency graph of all jobs is built by filling wildcards and matching input files to output files. 3. In the **scheduling** phase, the DAG of jobs is executed, with jobs started according to the available resources. The expand functions in the list of input files of the rule ``bcftools_call`` are executed during the initialization phase. In this phase, we don't know about jobs, wildcard values and rule dependencies. Hence, we cannot determine the FASTQ paths for rule ``bwa_map`` from the config file in this phase, because we don't even know which jobs will be generated from that rule. Instead, we need to defer the determination of input files to the DAG phase. This can be achieved by specifying an **input function** instead of a string as inside of the input directive. For the rule ``bwa_map`` this works as follows: .. code:: python def get_bwa_map_input_fastqs(wildcards): return config["samples"][wildcards.sample] rule bwa_map: input: "data/genome.fa", get_bwa_map_input_fastqs output: "mapped_reads/{sample}.bam" threads: 8 shell: "bwa mem -t {threads} {input} | samtools view -Sb - > {output}" .. sidebar:: Note Snakemake does not automatically rerun jobs when new input files are added as in the excercise below. However, you can get a list of output files that are affected by such changes with ``snakemake --list-input-changes``. To trigger a rerun, this bit of bash magic helps: .. code:: console snakemake -n --forcerun $(snakemake --list-input-changes) Any normal function would work as well. Input functions take as **single argument** a ``wildcards`` object, that allows to access the wildcards values via attributes (here ``wildcards.sample``). They have to **return a string or a list of strings**, that are interpreted as paths to input files (here, we return the path that is stored for the sample in the config file). Input functions are evaluated once the wildcard values of a job are determined. Exercise ........ * In the ``data/samples`` folder, there is an additional sample ``C.fastq``. Add that sample to the config file and see how Snakemake wants to recompute the part of the workflow belonging to the new sample, when invoking with ``snakemake -n --reason --forcerun bcftools_call``. Step 4: Rule parameters ::::::::::::::::::::::: Sometimes, shell commands are not only composed of input and output files and some static flags. In particular, it can happen that additional parameters need to be set depending on the wildcard values of the job. For this, Snakemake allows to **define arbitrary parameters** for rules with the ``params`` directive. In our workflow, it is reasonable to annotate aligned reads with so-called read groups, that contain metadata like the sample name. We modify the rule ``bwa_map`` accordingly: .. code:: python rule bwa_map: input: "data/genome.fa", get_bwa_map_input_fastqs output: "mapped_reads/{sample}.bam" params: rg=r"@RG\tID:{sample}\tSM:{sample}" threads: 8 shell: "bwa mem -R '{params.rg}' -t {threads} {input} | samtools view -Sb - > {output}" .. sidebar:: Note The ``params`` directive can also take functions like in Step 3 to defer initialization to the DAG phase. In contrast to input functions, these can optionally take additional arguments ``input``, ``output``, ``threads``, and ``resources``. Similar to input and output files, ``params`` can be accessed from the shell command, the Python based ``run`` block, or the script directive (see :ref:`tutorial-script`). Exercise ........ * Variant calling can consider a lot of parameters. A particularly important one is the prior mutation rate (1e-3 per default). It is set via the flag ``-P`` of the ``bcftools call`` command. Consider making this flag configurable via adding a new key to the config file and using the ``params`` directive in the rule ``bcftools_call`` to propagate it to the shell command. Step 5: Logging ::::::::::::::: When executing a large workflow, it is usually desirable to store the logging output of each job into a separate file, instead of just printing all logging output to the terminal---when multiple jobs are run in parallel, this would result in chaotic output. For this purpose, Snakemake allows to **specify log files** for rules. Log files are defined via the ``log`` directive and handled similarly to output files, but they are not subject of rule matching and are not cleaned up when a job fails. We modify our rule ``bwa_map`` as follows: .. code:: python rule bwa_map: input: "data/genome.fa", get_bwa_map_input_fastqs output: "mapped_reads/{sample}.bam" params: rg=r"@RG\tID:{sample}\tSM:{sample}" log: "logs/bwa_mem/{sample}.log" threads: 8 shell: "(bwa mem -R '{params.rg}' -t {threads} {input} | " "samtools view -Sb - > {output}) 2> {log}" .. sidebar:: Note It is best practice to store all log files in a subdirectory ``logs/``, prefixed by the rule or tool name. The shell command is modified to `collect STDERR output `_ of both ``bwa`` and ``samtools`` and pipe it into the file referred to by ``{log}``. Log files must contain exactly the same wildcards as the output files to avoid file name clashes between different jobs of the same rule. Exercise ........ * Add a log directive to the ``bcftools_call`` rule as well. * Time to re-run the whole workflow (remember the command line flags to force re-execution). See how log files are created for variant calling and read mapping. * The ability to track the provenance of each generated result is an important step towards reproducible analyses. Apart from the ``report`` functionality discussed before, Snakemake can summarize various provenance information for all output files of the workflow. The flag ``--summary`` prints a table associating each output file with the rule used to generate it, the creation date and optionally the version of the tool used for creation is provided. Further, the table informs about updated input files and changes to the source code of the rule after creation of the output file. Invoke Snakemake with ``--summary`` to examine the information for our example. .. _tutorial_temp-and-protected-files: Step 6: Temporary and protected files ::::::::::::::::::::::::::::::::::::: In our workflow, we create two BAM files for each sample, namely the output of the rules ``bwa_map`` and ``samtools_sort``. When not dealing with examples, the underlying data is usually huge. Hence, the resulting BAM files need a lot of disk space and their creation takes some time. To save disk space, you can **mark output files as temporary**. Snakemake will delete the marked files for you, once all the consuming jobs (that need it as input) have been executed. We use this mechanism for the output file of the rule ``bwa_map``: .. code:: python rule bwa_map: input: "data/genome.fa", get_bwa_map_input_fastqs output: temp("mapped_reads/{sample}.bam") params: rg=r"@RG\tID:{sample}\tSM:{sample}" log: "logs/bwa_mem/{sample}.log" threads: 8 shell: "(bwa mem -R '{params.rg}' -t {threads} {input} | " "samtools view -Sb - > {output}) 2> {log}" This results in the deletion of the BAM file once the corresponding ``samtools_sort`` job has been executed. Since the creation of BAM files via read mapping and sorting is computationally expensive, it is reasonable to **protect** the final BAM file **from accidental deletion or modification**. We modify the rule ``samtools_sort`` to mark its output file as ``protected``: .. code:: python rule samtools_sort: input: "mapped_reads/{sample}.bam" output: protected("sorted_reads/{sample}.bam") shell: "samtools sort -T sorted_reads/{wildcards.sample} " "-O bam {input} > {output}" After successful execution of the job, Snakemake will write-protect the output file in the filesystem, so that it can't be overwritten or deleted by accident. Exercise ........ * Re-execute the whole workflow and observe how Snakemake handles the temporary and protected files. * Run Snakemake with the target ``mapped_reads/A.bam``. Although the file is marked as temporary, you will see that Snakemake does not delete it because it is specified as a target file. * Try to re-execute the whole workflow again with the dry-run option. You will see that it fails (as intended) because Snakemake cannot overwrite the protected output files. Summary ::::::: For this advanced part of the tutorial, we have now created a ``config.yaml`` configuration file: .. code:: yaml samples: A: data/samples/A.fastq B: data/samples/B.fastq prior_mutation_rate: 0.001 With this, the final version of our workflow in the ``Snakefile`` looks like this: .. code:: python configfile: "config.yaml" rule all: input: "plots/quals.svg" def get_bwa_map_input_fastqs(wildcards): return config["samples"][wildcards.sample] rule bwa_map: input: "data/genome.fa", get_bwa_map_input_fastqs output: temp("mapped_reads/{sample}.bam") params: rg=r"@RG\tID:{sample}\tSM:{sample}" log: "logs/bwa_mem/{sample}.log" threads: 8 shell: "(bwa mem -R '{params.rg}' -t {threads} {input} | " "samtools view -Sb - > {output}) 2> {log}" rule samtools_sort: input: "mapped_reads/{sample}.bam" output: protected("sorted_reads/{sample}.bam") shell: "samtools sort -T sorted_reads/{wildcards.sample} " "-O bam {input} > {output}" rule samtools_index: input: "sorted_reads/{sample}.bam" output: "sorted_reads/{sample}.bam.bai" shell: "samtools index {input}" rule bcftools_call: input: fa="data/genome.fa", bam=expand("sorted_reads/{sample}.bam", sample=config["samples"]), bai=expand("sorted_reads/{sample}.bam.bai", sample=config["samples"]) output: "calls/all.vcf" params: rate=config["prior_mutation_rate"] log: "logs/bcftools_call/all.log" shell: "(samtools mpileup -g -f {input.fa} {input.bam} | " "bcftools call -mv -P {params.rate} - > {output}) 2> {log}" rule plot_quals: input: "calls/all.vcf" output: "plots/quals.svg" script: "scripts/plot-quals.py" snakemake-6.15.1/docs/tutorial/basics.rst000066400000000000000000000620021417574166400203530ustar00rootroot00000000000000.. _tutorial-basics: Basics: An example workflow --------------------------- .. _Snakemake: https://snakemake.readthedocs.io .. _Snakemake homepage: https://snakemake.readthedocs.io .. _GNU Make: https://www.gnu.org/software/make .. _Python: https://www.python.org .. _BWA: http://bio-bwa.sourceforge.net .. _SAMtools: https://www.htslib.org .. _BCFtools: https://www.htslib.org .. _Pandas: https://pandas.pydata.org .. _Miniconda: https://conda.pydata.org/miniconda.html .. _Conda: https://conda.pydata.org .. _Bash: https://www.tldp.org/LDP/Bash-Beginners-Guide/html .. _Atom: https://atom.io .. _Anaconda: https://anaconda.org .. _Graphviz: https://www.graphviz.org .. _RestructuredText: https://docutils.sourceforge.io/docs/user/rst/quickstart.html .. _data URI: https://developer.mozilla.org/en-US/docs/Web/HTTP/data_URIs .. _JSON: https://json.org .. _YAML: https://yaml.org .. _DRMAA: https://www.drmaa.org .. _rpy2: https://rpy2.github.io .. _R: https://www.r-project.org .. _Rscript: https://stat.ethz.ch/R-manual/R-devel/library/utils/html/Rscript.html .. _PyYAML: https://pyyaml.org .. _Docutils: https://docutils.sourceforge.io .. _Bioconda: https://bioconda.github.io .. _Vagrant: https://www.vagrantup.com .. _Vagrant Documentation: https://docs.vagrantup.com .. _Blogpost: https://blog.osteel.me/posts/2015/01/25/how-to-use-vagrant-on-windows.html .. _slides: https://slides.com/johanneskoester/deck-1 Please make sure that you have **activated** the environment we created before, and that you have an open terminal in the working directory you have created. **A Snakemake workflow is defined by specifying rules in a Snakefile**. **Rules decompose the workflow into small steps** (for example, the application of a single tool) by specifying how to create sets of **output files** from sets of **input files**. Snakemake automatically **determines the dependencies** between the rules by matching file names. The Snakemake language extends the Python language, adding syntactic structures for rule definition and additional controls. All added syntactic structures begin with a keyword followed by a code block that is either in the same line or indented and consisting of multiple lines. The resulting syntax resembles that of original Python constructs. In the following, we will introduce the Snakemake syntax by creating an example workflow. The workflow comes from the domain of genome analysis. It maps sequencing reads to a reference genome and calls variants on the mapped reads. The tutorial does not require you to know what this is about. Nevertheless, we provide some background in the following paragraph. .. _tutorial-background: Background :::::::::: The genome of a living organism encodes its hereditary information. It serves as a blueprint for proteins, which form living cells, carry information and drive chemical reactions. Differences between species, populations or individuals can be reflected by differences in the genome. Certain variants can cause syndromes or predisposition for certain diseases, or cause cancerous growth in the case of tumour cells that have accumulated changes with respect to healthy cells. This makes the genome a major target of biological and medical research. Today, it is often analyzed with DNA sequencing, producing gigabytes of data from a single biological sample (for example a biopsy of some tissue). For technical reasons, DNA sequencing cuts the DNA of a sample into millions of small pieces, called **reads**. In order to recover the genome of the sample, one has to map these reads against a known **reference genome** (for example, the human one obtained during the famous `human genome project `_). This task is called **read mapping**. Often, it is of interest where an individual genome is different from the species-wide consensus represented with the reference genome. Such differences are called **variants**. They are responsible for harmless individual differences (like eye color), but can also cause diseases like cancer. By investigating the differences between the mapped reads and the reference sequence at a particular genome position, variants can be detected. This is a statistical challenge, because they have to be distinguished from artifacts generated by the sequencing process. Step 1: Mapping reads ::::::::::::::::::::: Our first Snakemake rule maps reads of a given sample to a given reference genome (see :ref:`tutorial-background`). For this, we will use the tool bwa_, specifically the subcommand ``bwa mem``. In the working directory, **create a new file** called ``Snakefile`` with an editor of your choice. We propose to use the Atom_ editor, since it provides out-of-the-box syntax highlighting for Snakemake. In the Snakefile, define the following rule: .. code:: python rule bwa_map: input: "data/genome.fa", "data/samples/A.fastq" output: "mapped_reads/A.bam" shell: "bwa mem {input} | samtools view -Sb - > {output}" .. sidebar:: Note A common error is to forget the comma between the input or output items. Since Python concatenates subsequent strings, this can lead to unexpected behavior. A Snakemake rule has a name (here ``bwa_map``) and a number of directives, here ``input``, ``output`` and ``shell``. The ``input`` and ``output`` directives are followed by lists of files that are expected to be used or created by the rule. In the simplest case, these are just explicit Python strings. The ``shell`` directive is followed by a Python string containing the shell command to execute. In the shell command string, we can refer to elements of the rule via braces notation (similar to the Python format function). Here, we refer to the output file by specifying ``{output}`` and to the input files by specifying ``{input}``. Since the rule has multiple input files, Snakemake will concatenate them, separated by a whitespace. In other words, Snakemake will replace ``{input}`` with ``data/genome.fa data/samples/A.fastq`` before executing the command. The shell command invokes ``bwa mem`` with reference genome and reads, and pipes the output into ``samtools`` which creates a compressed `BAM `_ file containing the alignments. The output of ``samtools`` is redirected into the output file defined by the rule with ``>``. .. sidebar:: Note It is best practice to have subsequent steps of a workflow in separate, unique, output folders. This keeps the working directory structured. Further, such unique prefixes allow Snakemake to quickly discard most rules in its search for rules that can provide the requested input. This accelerates the resolution of the rule dependencies in a workflow. When a workflow is executed, Snakemake tries to generate given **target** files. Target files can be specified via the command line. By executing .. code:: console $ snakemake -np mapped_reads/A.bam in the working directory containing the Snakefile, we tell Snakemake to generate the target file ``mapped_reads/A.bam``. Since we used the ``-n`` (or ``--dry-run``) flag, Snakemake will only show the execution plan instead of actually performing the steps. The ``-p`` flag instructs Snakemake to also print the resulting shell command for illustration. To generate the target files, **Snakemake applies the rules given in the Snakefile in a top-down way**. The application of a rule to generate a set of output files is called **job**. For each input file of a job, Snakemake again (i.e. recursively) determines rules that can be applied to generate it. This yields a `directed acyclic graph (DAG) `_ of jobs where the edges represent dependencies. So far, we only have a single rule, and the DAG of jobs consists of a single node. Nevertheless, we can **execute our workflow** with .. code:: console $ snakemake --cores 1 mapped_reads/A.bam Whenever executing a workflow, you need to specify the number of cores to use. For this tutorial, we will use a single core for now. Later you will see how parallelization works. Note that, after completion of above command, Snakemake will not try to create ``mapped_reads/A.bam`` again, because it is already present in the file system. Snakemake **only re-runs jobs if one of the input files is newer than one of the output files or one of the input files will be updated by another job**. Step 2: Generalizing the read mapping rule :::::::::::::::::::::::::::::::::::::::::: Obviously, the rule will only work for a single sample with reads in the file ``data/samples/A.fastq``. However, Snakemake allows **generalizing rules by using named wildcards**. Simply replace the ``A`` in the second input file and in the output file with the wildcard ``{sample}``, leading to .. code:: python rule bwa_map: input: "data/genome.fa", "data/samples/{sample}.fastq" output: "mapped_reads/{sample}.bam" shell: "bwa mem {input} | samtools view -Sb - > {output}" .. sidebar:: Note Note that if a rule has multiple output files, Snakemake requires them to all have exactly the same wildcards. Otherwise, it could happen that two jobs running the same rule in parallel want to write to the same file. When Snakemake determines that this rule can be applied to generate a target file by replacing the wildcard ``{sample}`` in the output file with an appropriate value, it will propagate that value to all occurrences of ``{sample}`` in the input files and thereby determine the necessary input for the resulting job. Note that you can have multiple wildcards in your file paths, however, to avoid conflicts with other jobs of the same rule, **all output files** of a rule have to **contain exactly the same wildcards**. When executing .. code:: console $ snakemake -np mapped_reads/B.bam Snakemake will determine that the rule ``bwa_map`` can be applied to generate the target file by replacing the wildcard ``{sample}`` with the value ``B``. In the output of the dry-run, you will see how the wildcard value is propagated to the input files and all filenames in the shell command. You can also **specify multiple targets**, for example: .. code:: console $ snakemake -np mapped_reads/A.bam mapped_reads/B.bam Some Bash_ magic can make this particularly handy. For example, you can alternatively compose our multiple targets in a single pass via .. code:: console $ snakemake -np mapped_reads/{A,B}.bam Note that this is not a special Snakemake syntax. Bash_ is just applying its `brace expansion `_ to the set ``{A,B}``, creating the given path for each element and separating the resulting paths by a whitespace. In both cases, you will see that Snakemake only proposes to create the output file ``mapped_reads/B.bam``. This is because you already executed the workflow before (see the previous step) and no input file is newer than the output file ``mapped_reads/A.bam``. You can update the file modification date of the input file ``data/samples/A.fastq`` via .. code:: console $ touch data/samples/A.fastq and see how Snakemake wants to re-run the job to create the file ``mapped_reads/A.bam`` by executing .. code:: console $ snakemake -np mapped_reads/A.bam mapped_reads/B.bam Step 3: Sorting read alignments ::::::::::::::::::::::::::::::: For later steps, we need the read alignments in the BAM files to be sorted. This can be achieved with the samtools_ ``sort`` command. We add the following rule beneath the ``bwa_map`` rule: .. code:: python rule samtools_sort: input: "mapped_reads/{sample}.bam" output: "sorted_reads/{sample}.bam" shell: "samtools sort -T sorted_reads/{wildcards.sample} " "-O bam {input} > {output}" .. sidebar:: Note In the shell command above we split the string into two lines, which are however automatically concatenated into one by Python. This is a handy pattern to avoid too long shell command lines. When using this, make sure to have a trailing whitespace in each line but the last, in order to avoid arguments to become not properly separated. This rule will take the input file from the ``mapped_reads`` directory and store a sorted version in the ``sorted_reads`` directory. Note that Snakemake **automatically creates missing directories** before jobs are executed. For sorting, ``samtools`` requires a prefix specified with the flag ``-T``. Here, we need the value of the wildcard ``sample``. Snakemake allows to access wildcards in the shell command via the ``wildcards`` object that has an attribute with the value for each wildcard. When issuing .. code:: console $ snakemake -np sorted_reads/B.bam you will see how Snakemake wants to run first the rule ``bwa_map`` and then the rule ``samtools_sort`` to create the desired target file: as mentioned before, the dependencies are resolved automatically by matching file names. Step 4: Indexing read alignments and visualizing the DAG of jobs :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: .. sidebar:: Note Snakemake uses the `Python format mini language `_ to format shell commands. Sometimes you have to use braces (``{}``) for something else in a shell command. In that case, you have to escape them by doubling, for example when relying on the bash brace expansion we mentioned above: ``ls {{A,B}}.txt``. Next, we need to use samtools_ again to index the sorted read alignments so that we can quickly access reads by the genomic location they were mapped to. This can be done with the following rule: .. code:: python rule samtools_index: input: "sorted_reads/{sample}.bam" output: "sorted_reads/{sample}.bam.bai" shell: "samtools index {input}" Having three steps already, it is a good time to take a closer look at the resulting directed acyclic graph (DAG) of jobs. By executing .. code:: console $ snakemake --dag sorted_reads/{A,B}.bam.bai | dot -Tsvg > dag.svg .. sidebar:: Note If you went with: `Run tutorial for free in the cloud via Gitpod`_, you can easily view the resulting ``dag.svg`` by right-clicking on the file in the explorer panel on the left and selecting ``Open With -> Preview``. we create a **visualization of the DAG** using the ``dot`` command provided by Graphviz_. For the given target files, Snakemake specifies the DAG in the dot language and pipes it into the ``dot`` command, which renders the definition into `SVG format `_. The rendered DAG is piped into the file ``dag.svg`` and will look similar to this: .. image:: workflow/dag_index.png :align: center The DAG contains a node for each job with the edges connecting them representing the dependencies. The frames of jobs that don't need to be run (because their output is up-to-date) are dashed. For rules with wildcards, the value of the wildcard for the particular job is displayed in the job node. Exercise ........ * Run parts of the workflow using different targets. Recreate the DAG and see how different rules' frames become dashed because their output is present and up-to-date. Step 5: Calling genomic variants :::::::::::::::::::::::::::::::: The next step in our workflow will aggregate the mapped reads from all samples and jointly call genomic variants on them (see :ref:`tutorial-background`). For the variant calling, we will combine the two utilities samtools_ and bcftools_. Snakemake provides a **helper function for collecting input files** that helps us to describe the aggregation in this step. With .. code:: python expand("sorted_reads/{sample}.bam", sample=SAMPLES) we obtain a list of files where the given pattern ``"sorted_reads/{sample}.bam"`` was formatted with the values in a given list of samples ``SAMPLES``, i.e. .. code:: python ["sorted_reads/A.bam", "sorted_reads/B.bam"] The function is particularly useful when the pattern contains multiple wildcards. For example, .. code:: python expand("sorted_reads/{sample}.{replicate}.bam", sample=SAMPLES, replicate=[0, 1]) would create the product of all elements of ``SAMPLES`` and the list ``[0, 1]``, yielding .. code:: python ["sorted_reads/A.0.bam", "sorted_reads/A.1.bam", "sorted_reads/B.0.bam", "sorted_reads/B.1.bam"] Here, we use only the simple case of ``expand``. We first let Snakemake know which samples we want to consider. Remember that Snakemake works backwards from requested output, and not from available input. Thus, it does not automatically infer all possible output from, for example, the fastq files in the data folder. Also remember that Snakefiles are in principle Python code enhanced by some declarative statements to define workflows. Hence, we can define the list of samples ad-hoc in plain Python at the top of the Snakefile: .. code:: python SAMPLES = ["A", "B"] .. sidebar:: Note If you name input or output files like above, their order won't be preserved when referring to them as ``{input}``. Further, note that named and unnamed (i.e., positional) input and output files can be combined, but the positional ones must come first, equivalent to Python functions with keyword arguments. Later, we will learn about more sophisticated ways like **config files**. But for now, this is enough so that we can add the following rule to our Snakefile: .. code:: python rule bcftools_call: input: fa="data/genome.fa", bam=expand("sorted_reads/{sample}.bam", sample=SAMPLES), bai=expand("sorted_reads/{sample}.bam.bai", sample=SAMPLES) output: "calls/all.vcf" shell: "samtools mpileup -g -f {input.fa} {input.bam} | " "bcftools call -mv - > {output}" With multiple input or output files, it is sometimes handy to refer to them separately in the shell command. This can be done by **specifying names for input or output files**, for example with ``fa=...``. The files can then be referred to in the shell command by name, for example with ``{input.fa}``. For **long shell commands** like this one, it is advisable to **split the string over multiple indented lines**. Python will automatically merge it into one. Further, you will notice that the **input or output file lists can contain arbitrary Python statements**, as long as it returns a string, or a list of strings. Here, we invoke our ``expand`` function to aggregate over the aligned reads of all samples. Exercise ........ * obtain the updated DAG of jobs for the target file ``calls/all.vcf``, it should look like this: .. image:: workflow/dag_call.png :align: center .. _tutorial-script: Step 6: Using custom scripts :::::::::::::::::::::::::::: Usually, a workflow not only consists of invoking various tools, but also contains custom code to for example calculate summary statistics or create plots. While Snakemake also allows you to directly :ref:`write Python code inside a rule <.. _snakefiles-rules>`, it is usually reasonable to move such logic into separate scripts. For this purpose, Snakemake offers the ``script`` directive. Add the following rule to your Snakefile: .. code:: python rule plot_quals: input: "calls/all.vcf" output: "plots/quals.svg" script: "scripts/plot-quals.py" .. sidebar:: Note ``snakemake.input`` and ``snakemake.output`` always contain a list of file names, even if the lists each contain only one file name. Therefore, to refer to a particular file name, you have to index into that list. ``snakemake.output[0]`` will give you the first element of the output file name list, something that always has to be there. With this rule, we will eventually generate a histogram of the quality scores that have been assigned to the variant calls in the file ``calls/all.vcf``. The actual Python code to generate the plot is hidden in the script ``scripts/plot-quals.py``. Script paths are always relative to the referring Snakefile. In the script, all properties of the rule like ``input``, ``output``, ``wildcards``, etc. are available as attributes of a global ``snakemake`` object. Create the file ``scripts/plot-quals.py``, with the following content: .. code:: python import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt from pysam import VariantFile quals = [record.qual for record in VariantFile(snakemake.input[0])] plt.hist(quals) plt.savefig(snakemake.output[0]) .. sidebar:: Note It is best practice to use the script directive whenever an inline code block would have more than a few lines of code. Although there are other strategies to invoke separate scripts from your workflow (for example, invoking them via shell commands), the benefit of this is obvious: the script logic is separated from the workflow logic (and can even be shared between workflows), but **boilerplate code like the parsing of command line arguments is unnecessary**. Apart from Python scripts, it is also possible to use R scripts. In R scripts, an S4 object named ``snakemake`` analogous to the Python case above is available and allows access to input and output files and other parameters. Here, the syntax follows that of S4 classes with attributes that are R lists, for example we can access the first input file with ``snakemake@input[[1]]`` (note that the first file does not have index 0 here, because R starts counting from 1). Named input and output files can be accessed in the same way, by just providing the name instead of an index, for example ``snakemake@input[["myfile"]]``. For details and examples, see the :ref:`snakefiles-external_scripts` section in the Documentation. Step 7: Adding a target rule :::::::::::::::::::::::::::: So far, we always executed the workflow by specifying a target file at the command line. Apart from filenames, Snakemake **also accepts rule names as targets** if the requested rule does not have wildcards. Hence, it is possible to write target rules collecting particular subsets of the desired results or all results. Moreover, if no target is given at the command line, Snakemake will define the **first rule** of the Snakefile as the target. Hence, it is best practice to have a rule ``all`` at the top of the workflow which has all typically desired target files as input files. Here, this means that we add a rule .. code:: python rule all: input: "plots/quals.svg" to the top of our workflow. When executing Snakemake with .. code:: console $ snakemake -n .. sidebar:: Note In case you have mutliple reasonable sets of target files, you can add multiple target rules at the top of the Snakefile. While Snakemake will execute the first per default, you can target any of them via the command line (for example, ``snakemake -n mytarget``). the execution plan for creating the file ``plots/quals.svg``, which contains and summarizes all our results, will be shown. Note that, apart from Snakemake considering the first rule of the workflow as the default target, **the order of rules in the Snakefile is arbitrary and does not influence the DAG of jobs**. Exercise ........ * Create the DAG of jobs for the complete workflow. * Execute the complete workflow and have a look at the resulting ``plots/quals.svg``. * Snakemake provides handy flags for forcing re-execution of parts of the workflow. Have a look at the command line help with ``snakemake --help`` and search for the flag ``--forcerun``. Then, use this flag to re-execute the rule ``samtools_sort`` and see what happens. * With ``--reason`` it is possible to display the execution reason for each job. Try this flag together with a dry-run and the ``--forcerun`` flag to understand the decisions of Snakemake. Summary ::::::: In total, the resulting workflow looks like this: .. code:: console SAMPLES = ["A", "B"] rule all: input: "plots/quals.svg" rule bwa_map: input: "data/genome.fa", "data/samples/{sample}.fastq" output: "mapped_reads/{sample}.bam" shell: "bwa mem {input} | samtools view -Sb - > {output}" rule samtools_sort: input: "mapped_reads/{sample}.bam" output: "sorted_reads/{sample}.bam" shell: "samtools sort -T sorted_reads/{wildcards.sample} " "-O bam {input} > {output}" rule samtools_index: input: "sorted_reads/{sample}.bam" output: "sorted_reads/{sample}.bam.bai" shell: "samtools index {input}" rule bcftools_call: input: fa="data/genome.fa", bam=expand("sorted_reads/{sample}.bam", sample=SAMPLES), bai=expand("sorted_reads/{sample}.bam.bai", sample=SAMPLES) output: "calls/all.vcf" shell: "samtools mpileup -g -f {input.fa} {input.bam} | " "bcftools call -mv - > {output}" rule plot_quals: input: "calls/all.vcf" output: "plots/quals.svg" script: "scripts/plot-quals.py" snakemake-6.15.1/docs/tutorial/setup.rst000066400000000000000000000220231417574166400202460ustar00rootroot00000000000000 .. _tutorial-setup: Setup ----- .. _Snakemake: https://snakemake.readthedocs.io .. _Snakemake homepage: https://snakemake.readthedocs.io .. _GNU Make: https://www.gnu.org/software/make .. _Python: https://www.python.org .. _BWA: http://bio-bwa.sourceforge.net .. _SAMtools: https://www.htslib.org .. _BCFtools: https://www.htslib.org .. _Pandas: https://pandas.pydata.org .. _Miniconda: https://conda.pydata.org/miniconda.html .. _Mambaforge: https://github.com/conda-forge/miniforge#mambaforge .. _Mamba: https://github.com/mamba-org/mamba .. _Conda: https://conda.pydata.org .. _Bash: https://www.tldp.org/LDP/Bash-Beginners-Guide/html .. _Atom: https://atom.io .. _Graphviz: https://www.graphviz.org .. _PyYAML: https://pyyaml.org .. _Docutils: https://docutils.sourceforge.io .. _Jinja2: https://jinja.palletsprojects.com .. _NetworkX: https://networkx.github.io .. _Matplotlib: https://matplotlib.org .. _Pysam: https://pysam.readthedocs.io .. _Bioconda: https://bioconda.github.io .. _WSL: https://docs.microsoft.com/en-us/windows/wsl/about .. _WSL Documentation: https://docs.microsoft.com/en-us/windows/wsl/install-win10 .. _Vagrant: https://www.vagrantup.com .. _Vagrant Documentation: https://docs.vagrantup.com .. _Blogpost: https://blog.osteel.me/posts/2015/01/25/how-to-use-vagrant-on-windows.html Requirements :::::::::::: To go through this tutorial, you need the following software installed: * Python_ ≥3.5 * Snakemake_ ≥5.24.1 * BWA_ 0.7 * SAMtools_ 1.9 * Pysam_ 0.15 * BCFtools_ 1.9 * Graphviz_ 2.42 * Jinja2_ 2.11 * NetworkX_ 2.5 * Matplotlib_ 3.3 However, don't install any of these this manually now, we guide you through better ways below. Run tutorial for free in the cloud via Gitpod ::::::::::::::::::::::::::::::::::::::::::::: .. sidebar:: Note A common thing to happen while using the development environment in GitPod is to hit ``Ctrl-s`` while in the terminal window, because you wanted to save a file in the editor window. This will freeze up you terminal. To get it back, make sure you selected the terminal window by clicking on it and then hit ``Ctrl-q``. The easiest way to run this tutorial is to use Gitpod, which enables performing the excercises via your browser---including all required software, for free and in the cloud. In order to do this, simply open the predefined `snakemake-tutorial GitPod workspace `_ in your browser. GitPod provides you with a `Theia development environment `_, which you can learn about in the linked documentation. Once you have a basic understanding of this environment, you can go on directy with :ref:`tutorial-basics`. Running the tutorial on your local machine :::::::::::::::::::::::::::::::::::::::::: If you prefer to run the tutorial on your local machine, please follow the steps below. The easiest way to set these prerequisites up, is to use the Mambaforge_ Python 3 distribution (Mambaforge_ is a Conda based distribution like Miniconda_, which however uses Mamba_ a fast and more robust replacement for the Conda_ package manager). The tutorial assumes that you are using either Linux or MacOS X. Both Snakemake and Mambaforge_ work also under Windows, but the Windows shell is too different to be able to provide generic examples. Setup on Windows :::::::::::::::: If you already use Linux or MacOS X, go on with **Step 1**. Windows Subsystem for Linux """"""""""""""""""""""""""" If you use Windows 10, you can set up the Windows Subsystem for Linux (`WSL`_) to natively run linux applications. Install the WSL following the instructions in the `WSL Documentation`_. You can chose any Linux distribution available for the WSL, but the most popular and accessible one is Ubuntu. Start the WSL and set up your account; now, you can follow the steps of our tutorial from within your Linux environment in the WSL. Vagrant virtual machine """"""""""""""""""""""" If you are using a version of Windows older than 10 or if you do not wish to install the WSL, you can instead setup a Linux virtual machine (VM) with Vagrant_. First, install Vagrant following the installation instructions in the `Vagrant Documentation`_. Then, create a new directory you want to share with your Linux VM, for example, create a folder named ``vagrant-linux`` somewhere. Open a command line prompt, and change into that directory. Here, you create a 64-bit Ubuntu Linux environment with .. code:: console > vagrant init hashicorp/precise64 > vagrant up If you decide to use a 32-bit image, you will need to download the 32-bit version of Miniconda in the next step. The contents of the ``vagrant-linux`` folder will be shared with the virtual machine that is set up by vagrant. You can log into the virtual machine via .. code:: console > vagrant ssh If this command tells you to install an SSH client, you can follow the instructions in this Blogpost_. Now, you can follow the steps of our tutorial from within your Linux VM. Step 1: Installing Mambaforge ::::::::::::::::::::::::::::: First, please **open a terminal** or make sure you are logged into your Vagrant Linux VM. Assuming that you have a 64-bit system, on Linux, download and install Miniconda 3 with .. code:: console $ wget https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-Linux-x86_64.sh $ bash Mambaforge-Linux-x86_64.sh On MacOS with x86_64 architecture, download and install with .. code:: console $ curl -L https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-MacOSX-x86_64.sh -o Mambaforge-MacOSX-x86_64.sh $ bash Mambaforge-MacOSX-x86_64.sh On MacOS with ARM/M1 architecture, download and install with .. code:: console $ curl -L https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-MacOSX-arm64.sh -o Mambaforge-MacOSX-arm64.sh $ bash Mambaforge-MacOSX-arm64.sh When you are asked the question .. code:: Do you wish the installer to prepend the install location to PATH ...? [yes|no] answer with **yes**. Along with a minimal Python 3 environment, Mambaforge contains the package manager Mamba_. After closing your current terminal and opening a **new terminal**, you can use the new ``conda`` command to install software packages and create isolated environments to, for example, use different versions of the same package. We will later use Conda_ to create an isolated environment with all the required software for this tutorial. Step 2: Preparing a working directory ::::::::::::::::::::::::::::::::::::: First, **create a new directory** ``snakemake-tutorial`` at a **place you can easily remember** and change into that directory in your terminal: .. code:: console $ mkdir snakemake-tutorial $ cd snakemake-tutorial If you use a Vagrant Linux VM from Windows as described above, create that directory under ``/vagrant/``, so that the contents are shared with your host system (you can then edit all files from within Windows with an editor that supports Unix line breaks). Then, **change to the newly created directory**. In this directory, we will later create an example workflow that illustrates the Snakemake syntax and execution environment. First, we download some example data on which the workflow shall be executed: .. code:: console $ wget https://github.com/snakemake/snakemake-tutorial-data/archive/v5.24.1.tar.gz $ tar --wildcards -xf v5.24.1.tar.gz --strip 1 "*/data" "*/environment.yaml" This will create a folder ``data`` and a file ``environment.yaml`` in the working directory. If your tar command does not provide a ``--wildcards`` flag, you can also just unpack the file without it (which will just leave some more unneeded files in the working directory). Step 3: Creating an environment with the required software :::::::::::::::::::::::::::::::::::::::::::::::::::::::::: First, make sure to activate the conda base environment with .. code:: console $ conda activate base The ``environment.yaml`` file that you have obtained with the previous step (Step 2) can be used to install all required software into an isolated Conda environment with the name ``snakemake-tutorial`` via .. code:: console $ mamba env create --name snakemake-tutorial --file environment.yaml If you don't have the Mamba_ command because you used a different conda distribution than Mambaforge_, you can also first install Mamba_ (which is a faster and more robust replacement for Conda_) in your base environment with .. code:: console $ conda install -n base -c conda-forge mamba and then run the `mamba env create` command shown above. Step 4: Activating the environment :::::::::::::::::::::::::::::::::: To activate the ``snakemake-tutorial`` environment, execute .. code:: console $ conda activate snakemake-tutorial Now you can use the installed tools. Execute .. code:: console $ snakemake --help to test this and get information about the command-line interface of Snakemake. To exit the environment, you can execute .. code:: console $ conda deactivate but **don't do that now**, since we finally want to start working with Snakemake :-). snakemake-6.15.1/docs/tutorial/short.rst000066400000000000000000000332421417574166400202520ustar00rootroot00000000000000Short tutorial ============== Here we provide a short tutorial that guides you through the main features of Snakemake. Note that this is not suited to learn Snakemake from scratch, rather to give a first impression. To really learn Snakemake (starting from something simple, and extending towards advanced features), use the main :ref:`tutorial`. This document shows all steps performed in the official `Snakemake live demo `_, such that it becomes possible to follow them at your own pace. Solutions to each step can be found at the bottom of this document. The examples presented in this tutorial come from Bioinformatics. However, Snakemake is a general-purpose workflow management system for any discipline. For an explanation of the steps you will perform here, have a look at :ref:`tutorial-background`. More thorough explanations are provided in the full :ref:`tutorial`. Prerequisites ------------- First, install Snakemake via Conda, as outlined in :ref:`conda-install`. The minimal version of Snakemake is sufficient for this demo. Second, download and unpack the test data needed for this example from `here `_, e.g., via :: mkdir snakemake-demo cd snakemake-demo wget https://github.com/snakemake/snakemake-tutorial-data/archive/v5.4.5.tar.gz tar --wildcards -xf v5.4.5.tar.gz --strip 1 "*/data" Step 1 ------ First, create an empty workflow in the current directory with: :: mkdir workflow touch workflow/Snakefile Once a Snakefile is present, you can perform a dry run of Snakemake with: :: snakemake -n Since the Snakefile is empty, it will report that nothing has to be done. In the next steps, we will gradually fill the Snakefile with an example analysis workflow. Step 2 ------ The data folder in your working directory looks as follows: :: data ├── genome.fa ├── genome.fa.amb ├── genome.fa.ann ├── genome.fa.bwt ├── genome.fa.fai ├── genome.fa.pac ├── genome.fa.sa └── samples ├── A.fastq ├── B.fastq └── C.fastq You will create a workflow that maps the sequencing samples in the ``data/samples`` folder to the reference genome ``data/genome.fa``. Then, you will call genomic variants over the mapped samples, and create an example plot. First, create a rule called ``map_reads``, with input files - ``data/genome.fa`` - ``data/samples/A.fastq`` and output file - ``results/mapped/A.bam`` To generate output from input, use the shell command .. code:: python "bwa mem {input} | samtools view -Sb - > {output}" Providing a shell command is not enough to run your workflow on an unprepared system. For reproducibility, you also have to provide the required software stack and define the desired version. This can be done with the `Conda package manager `__, which is directly integrated with Snakemake: add a directive ``conda: "envs/mapping.yaml"`` that points to a `Conda environment definition `__, with the following content .. code:: yaml channels: - bioconda - conda-forge dependencies: - bwa =0.7.17 - samtools =1.9 Upon execution, Snakemake will automatically create that environment, and execute the shell command within. Now, test your workflow by simulating the creation of the file ``results/mapped/A.bam`` via :: snakemake --use-conda -n results/mapped/A.bam to perform a dry-run and :: snakemake --use-conda results/mapped/A.bam --cores 1 to perform the actual execution. Step 3 ------ Now, generalize the rule ``map_reads`` by replacing the concrete sample name ``A`` with a wildcard ``{sample}`` in input and output file the rule ``map_reads``. This way, Snakemake can apply the rule to map any of the three available samples to the reference genome. Test this by creating the file ``results/mapped/B.bam``. Step 4 ------ Next, create a rule ``sort_alignments`` that sorts the obtained ``.bam`` file by genomic coordinate. The rule should have the input file - ``results/mapped/{sample}.bam`` and the output file - ``results/mapped/{sample}.sorted.bam`` and uses the shell command :: samtools sort -o {output} {input} to perform the sorting. Moreover, use the same ``conda:`` directive as for the previous rule. Test your workflow with :: snakemake --use-conda -n results/mapped/A.sorted.bam and :: snakemake --use-conda results/mapped/A.sorted.bam --cores 1 Step 5 ------ Now, we aggregate over all samples to perform a joint calling of genomic variants. First, we define a variable .. code:: python samples = ["A", "B", "C"] at the top of the ``Snakefile``. This serves as a definition of the samples over which we would want to aggregate. In real life, you would want to use an external sample sheet or a `config file `__ for things like this. For aggregation over many files, Snakemake provides the helper function ``expand`` (see `the docs `__). Create a rule ``call`` with input files - ``fa="data/genome.fa"`` - ``bam=expand("results/mapped/{sample}.sorted.bam", sample=samples)`` output file - ``"results/calls/all.vcf"`` and shell command :: bcftools mpileup -f {input.fa} {input.bam} | bcftools call -mv - > {output} Further, define a new conda environment file with the following content: .. code:: yaml channels: - bioconda - conda-forge dependencies: - bcftools =1.9 Step 6 ------ Finally, we strive to calculate some exemplary statistics. This time, we don’t use a shell command, but rather employ Snakemake’s ability to integrate with scripting languages like R and Python, and Jupyter notebooks. First, we create a rule ``plot_quals`` with input file - ``"results/calls/all.vcf"`` and output file - ``"results/plots/quals.svg"``. Instead of a shell command, we use Snakemake's Jupyter notebook integration by specifying .. code:: python notebook: "notebooks/plot-quals.py" instead of using the ``shell`` directive as before. Next, we have to define a conda environment for the rule, say ``workflow/envs/stats.yaml``, that provides the required Python packages to execute the script: .. code:: yaml channels: - bioconda - conda-forge dependencies: - pysam =0.17 - altair =4.1 - altair_saver =0.5 - pandas =1.3 - jupyter =1.0 Then, we let Snakemake generate a skeleton notebook for us with .. code:: console snakemake --draft-notebook results/plots/quals.svg --cores 1 --use-conda Snakemake will print instructions on how to open, edit and execute the notebook. We open the notebook in the editor and add the following content .. code:: python import pandas as pd import altair as alt from pysam import VariantFile quals = pd.DataFrame({"qual": [record.qual for record in VariantFile(snakemake.input[0])]}) chart = alt.Chart(quals).mark_bar().encode( alt.X("qual", bin=True), alt.Y("count()") ) chart.save(snakemake.output[0]) As you can see, instead of writing a command line parser for passing parameters like input and output files, you have direct access to the properties of the rule via a magic ``snakemake`` object, that Snakemake automatically inserts into the notebook before executing the rule. Make sure to test your workflow with :: snakemake --use-conda --force results/plots/quals.svg --cores 1 Here, the force ensures that the readily drafted notebook is re-executed even if you had already generated the output plot in the interactive mode. Step 7 ------ So far, we have always specified a target file at the command line when invoking Snakemake. When no target file is specified, Snakemake tries to execute the first rule in the ``Snakefile``. We can use this property to define default target files. At the top of your ``Snakefile`` define a rule ``all``, with input files - ``"results/calls/all.vcf"`` - ``"results/plots/quals.svg"`` and neither a shell command nor output files. This rule simply serves as an indicator of what shall be collected as results. Step 8 ------ As a last step, we strive to annotate our workflow with some additional information. Automatic reports ~~~~~~~~~~~~~~~~~ Snakemake can automatically create HTML reports with :: snakemake --report report.html Such a report contains runtime statistics, a visualization of the workflow topology, used software and data provenance information. In addition, you can mark any output file generated in your workflow for inclusion into the report. It will be encoded directly into the report, such that it can be, e.g., emailed as a self-contained document. The reader (e.g., a collaborator of yours) can at any time download the enclosed results from the report for further use, e.g., in a manuscript you write together. In this example, please mark the output file ``"results/plots/quals.svg"`` for inclusion by replacing it with ``report("results/plots/quals.svg", caption="report/calling.rst")`` and adding a file ``report/calling.rst``, containing some description of the output file. This description will be presented as caption in the resulting report. Threads ~~~~~~~ The first rule ``map_reads`` can in theory use multiple threads. You can make Snakemake aware of this, such that the information can be used for scheduling. Add a directive ``threads: 8`` to the rule and alter the shell command to :: bwa mem -t {threads} {input} | samtools view -Sb - > {output} This passes the threads defined in the rule as a command line argument to the ``bwa`` process. Temporary files ~~~~~~~~~~~~~~~ The output of the ``map_reads`` rule becomes superfluous once the sorted version of the ``.bam`` file is generated by the rule ``sort``. Snakemake can automatically delete the superfluous output once it is not needed anymore. For this, mark the output as temporary by replacing ``"results/mapped/{sample}.bam"`` in the rule ``bwa`` with ``temp("results/mapped/{sample}.bam")``. Solutions --------- Only read this if you have a problem with one of the steps. .. _step-2-1: Step 2 ~~~~~~ The rule should look like this: .. code:: python rule map_reads: input: "data/genome.fa", "data/samples/A.fastq" output: "results/mapped/A.bam" conda: "envs/mapping.yaml" shell: "bwa mem {input} | samtools view -b - > {output}" .. _step-3-1: Step 3 ~~~~~~ The rule should look like this: .. code:: python rule map_reads: input: "data/genome.fa", "data/samples/{sample}.fastq" output: "results/mapped/{sample}.bam" conda: "envs/mapping.yaml" shell: "bwa mem {input} | samtools view -b - > {output}" .. _step-4-1: Step 4 ~~~~~~ The rule should look like this: .. code:: python rule sort_alignments: input: "results/mapped/{sample}.bam" output: "results/mapped/{sample}.sorted.bam" conda: "envs/mapping.yaml" shell: "samtools sort -o {output} {input}" .. _step-5-1: Step 5 ~~~~~~ The rule should look like this: .. code:: python samples = ["A", "B", "C"] rule call_variants: input: fa="data/genome.fa", bam=expand("results/mapped/{sample}.sorted.bam", sample=SAMPLES) output: "results/calls/all.vcf" conda: "envs/calling.yaml" shell: "bcftools mpileup -f {input.fa} {input.bam} | bcftools call -mv - > {output}" .. _step-6-1: Step 6 ~~~~~~ The rule should look like this: .. code:: python rule plot_quals: input: "results/calls/all.vcf" output: "results/plots/quals.svg" conda: "envs/stats.yaml" notebook: "notebooks/plot-quals.py.ipynb" .. _step-7-1: Step 7 ~~~~~~ The rule should look like this: .. code:: python rule all: input: "results/calls/all.vcf", "results/plots/quals.svg" It has to appear as first rule in the ``Snakefile``. .. _step-8-1: Step 8 ~~~~~~ The complete workflow should look like this: .. code:: python SAMPLES = ["A", "B", "C"] rule all: input: "results/calls/all.vcf", "results/plots/quals.svg" rule map_reads: input: "data/genome.fa", "data/samples/{sample}.fastq" output: "results/mapped/{sample}.bam" conda: "envs/mapping.yaml" shell: "bwa mem {input} | samtools view -b - > {output}" rule sort_alignments: input: "results/mapped/{sample}.bam" output: "results/mapped/{sample}.sorted.bam" conda: "envs/mapping.yaml" shell: "samtools sort -o {output} {input}" rule call_variants: input: fa="data/genome.fa", bam=expand("results/mapped/{sample}.sorted.bam", sample=SAMPLES) output: "results/calls/all.vcf" conda: "envs/calling.yaml" shell: "bcftools mpileup -f {input.fa} {input.bam} | bcftools call -mv - > {output}" rule plot_quals: input: "results/calls/all.vcf" output: "results/plots/quals.svg" conda: "envs/stats.yaml" notebook: "notebooks/plot-quals.py.ipynb" snakemake-6.15.1/docs/tutorial/tutorial.rst000066400000000000000000000041571417574166400207610ustar00rootroot00000000000000.. _tutorial: ================== Snakemake Tutorial ================== .. _Snakemake: https://snakemake.readthedocs.io .. _GNU Make: https://www.gnu.org/software/make .. _Python: https://www.python.org .. _slides: https://slides.com/johanneskoester/snakemake-tutorial .. _Conda: https://conda.io .. _Singularity: https://www.sylabs.io This tutorial introduces the text-based workflow system Snakemake_. Snakemake follows the `GNU Make`_ paradigm: workflows are defined in terms of rules that define how to create output files from input files. Dependencies between the rules are determined automatically, creating a DAG (directed acyclic graph) of jobs that can be automatically parallelized. Snakemake sets itself apart from other text-based workflow systems in the following way. Hooking into the Python interpreter, Snakemake offers a definition language that is an extension of Python_ with syntax to define rules and workflow specific properties. This allows to combine the flexibility of a plain scripting language with a pythonic workflow definition. The Python language is known to be concise yet readable and can appear almost like pseudo-code. The syntactic extensions provided by Snakemake maintain this property for the definition of the workflow. Further, Snakemake's scheduling algorithm can be constrained by priorities, provided cores and customizable resources and it provides a generic support for distributed computing (e.g., cluster or batch systems). Hence, a Snakemake workflow scales without modification from single core workstations and multi-core servers to cluster or batch systems. Finally, Snakemake integrates with the package manager Conda_ and the container engine Singularity_ such that defining the software stack becomes part of the workflow itself. The examples presented in this tutorial come from Bioinformatics. However, Snakemake is a general-purpose workflow management system for any discipline. We ensured that no bioinformatics knowledge is needed to understand the tutorial. Also have a look at the corresponding slides_. .. toctree:: :maxdepth: 2 setup basics advanced additional_features snakemake-6.15.1/docs/tutorial/workflow/000077500000000000000000000000001417574166400202275ustar00rootroot00000000000000snakemake-6.15.1/docs/tutorial/workflow/dag_call.png000066400000000000000000000547761417574166400225060ustar00rootroot00000000000000‰PNG  IHDRi[ÉèbKGDÿÿÿ ½§“ IDATxœì{|[Õ•ïGOKòC–,ù;ŽíØÎ;vBxÎm)“&¥P …¤„PúiJSR†;-ííík ”;Ó0--¡…R mB†P M)—ó4qlÇqü–-Y¶%YÖ[ûþ!i#ÅŽ-ÙG:GÒþ~>ùDÖ‘ÎYçhŸßÙ{íµÖæ! ƒÁ#¯H„¶€Á`0—‡‰4ƒÁ`ˆ&Ò ƒ!bdBt2Ä)§§Nôx<°øý˜ ©Îq€Z*…A&C•R‰• Vk4PKØ3Rl ù|8>1s.z=8¸‚A¡ÍJrŽƒZ"A¹R‰¥ –¨Õà„6ŒAáR9qhõûñG«ïÛíðdù|¥’ãpm~>>§×C/äYɈ¢er{GGqnr2c; ñb˱Q«Å­2ŽÉµÀ¼’‘ö‚×FGñêèèq.”ÉPªP O*Íا7à`òz1æ÷ÇlSrnÑép“N»!RŽÙçÃo-›˜ˆy_Êq(•Ë¡—Ë¡ÊàØý~ô{½SF % ¶ hÔh²ŽTˆt¿×‹Ÿ `Èç£ï•(øÇ‚¬ËÍ…Q.OæáE‡ÙçÃщ ¼m³aÈë¥ï—Èåx¸¼  ­Ë.ØlxÖl†/| pVj4¸>?«4šŒçK 8ïrá}‡·Ûcûš¼<ÜWRÂ:Â\‘n™œÄÎÁA8Ã?¸F*Å& 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snakemake-6.15.1/examples/cufflinks/hg19.fa000066400000000000000000000000001417574166400204320ustar00rootroot00000000000000snakemake-6.15.1/examples/cufflinks/hg19.gtf000066400000000000000000000000001417574166400206240ustar00rootroot00000000000000snakemake-6.15.1/examples/cufflinks/mapped/000077500000000000000000000000001417574166400206325ustar00rootroot00000000000000snakemake-6.15.1/examples/cufflinks/mapped/101.bam000066400000000000000000000000001417574166400216020ustar00rootroot00000000000000snakemake-6.15.1/examples/cufflinks/mapped/102.bam000066400000000000000000000000001417574166400216030ustar00rootroot00000000000000snakemake-6.15.1/examples/cufflinks/mapped/103.bam000066400000000000000000000000001417574166400216040ustar00rootroot00000000000000snakemake-6.15.1/examples/cufflinks/mapped/104.bam000066400000000000000000000000001417574166400216050ustar00rootroot00000000000000snakemake-6.15.1/examples/hello-world/000077500000000000000000000000001417574166400176305ustar00rootroot00000000000000snakemake-6.15.1/examples/hello-world/Snakefile000066400000000000000000000016351417574166400214610ustar00rootroot00000000000000configfile: "config.yaml" rule all: input: expand( "plots/{country}.hist.pdf", country=config["countries"] ) rule select_by_country: input: "data/worldcitiespop.csv" output: "by-country/{country}.csv" conda: "envs/xsv.yaml" shell: "xsv search -s Country '{wildcards.country}' " "{input} > {output}" rule plot_histogram: input: "by-country/{country}.csv" output: "plots/{country}.hist.svg" container: "docker://faizanbashir/python-datascience:3.6" script: "scripts/plot-hist.py" rule convert_to_pdf: input: "{prefix}.svg" output: "{prefix}.pdf" wrapper: "0.47.0/utils/cairosvg" rule download_data: output: "data/worldcitiespop.csv" shell: "curl -L https://burntsushi.net/stuff/worldcitiespop.csv > {output}" snakemake-6.15.1/examples/hello-world/config.yaml000066400000000000000000000000401417574166400217530ustar00rootroot00000000000000countries: - fr - at - sp snakemake-6.15.1/examples/hello-world/envs/000077500000000000000000000000001417574166400206035ustar00rootroot00000000000000snakemake-6.15.1/examples/hello-world/envs/matplotlib.yaml000066400000000000000000000001321417574166400236320ustar00rootroot00000000000000channels: - conda-forge dependencies: - python 3.7 - matplotlib 3.1 - pandas 0.25 snakemake-6.15.1/examples/hello-world/envs/xsv.yaml000066400000000000000000000000651417574166400223100ustar00rootroot00000000000000channels: - conda-forge dependencies: - xsv 0.13 snakemake-6.15.1/examples/hello-world/scripts/000077500000000000000000000000001417574166400213175ustar00rootroot00000000000000snakemake-6.15.1/examples/hello-world/scripts/plot-hist.py000066400000000000000000000002511417574166400236120ustar00rootroot00000000000000import matplotlib.pyplot as plt import pandas as pd cities = pd.read_csv(snakemake.input[0]) plt.hist(cities["Population"], bins=50) plt.savefig(snakemake.output[0]) 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snakemake-6.15.1/examples/mirna/000077500000000000000000000000001417574166400165065ustar00rootroot00000000000000snakemake-6.15.1/examples/mirna/dag.dot000066400000000000000000000227361417574166400177630ustar00rootroot00000000000000digraph snakemake_dag { 35[label = "do_readlengths_of_one_file"]; 34 -> 35; 103[label = "count_mirbase_mappable"]; 102 -> 103; 143[label = "count_mirna_expression_of_one_dataset"]; 142 -> 143; 141 -> 143; 42[label = "do_readlengths_pdfs"]; 41 -> 42; 164[label = "annotate"]; 147 -> 164; 90 -> 164; 2[label = "compute_readcounts\nds: 554"]; 10[label = "run_cutadapt\nds: 552"]; 34[label = "run_cutadapt\nds: 560"]; 153[label = "rna_type"]; 152 -> 153; 11[label = "do_readlengths_of_one_file"]; 10 -> 11; 138[label = "sort_a_bam_file"]; 110 -> 138; 38[label = "do_readlengths_of_one_file"]; 37 -> 38; 56[label = "do_readlengths_of_one_file"]; 55 -> 56; 36[label = "do_readlengths_pdfs"]; 35 -> 36; 137[label = "count_mirna_expression_of_one_dataset"]; 135 -> 137; 136 -> 137; 13[label = "run_cutadapt\nds: 553"]; 37[label = "run_cutadapt\nds: 561"]; 41[label = "do_readlengths_of_one_file"]; 40 -> 41; 109[label = "count_mirbase_mappable"]; 108 -> 109; 132[label = "sort_a_bam_file"]; 106 -> 132; 165[label = "rna_type"]; 164 -> 165; 18[label = "do_readlengths_pdfs"]; 17 -> 18; 40[label = "do_shortreads\nds: 552"]; 16[label = "run_cutadapt\nds: 554"]; 84[label = "map_ds_against_hg"]; 16 -> 84; 81 -> 84; 151[label = "rna_type"]; 150 -> 151; 155[label = "rna_type"]; 154 -> 155; 51[label = "do_readlengths_pdfs"]; 50 -> 51; 166[label = "annotate"]; 91 -> 166; 147 -> 166; 20[label = "do_readlengths_of_one_file"]; 19 -> 20; 43[label = "do_shortreads\nds: 553"]; 64[label = "do_shortreads\nds: 560"]; 0[label = "compute_readcounts\nds: 552"]; 139[label = "index_a_bam_file"]; 138 -> 139; 5[label = "compute_readcounts\nds: 557"]; 19[label = "run_cutadapt\nds: 555"]; 54[label = "do_readlengths_pdfs"]; 53 -> 54; 21[label = "do_readlengths_pdfs"]; 20 -> 21; 152[label = "annotate"]; 84 -> 152; 147 -> 152; 47[label = "do_readlengths_of_one_file"]; 46 -> 47; 46[label = "do_shortreads\nds: 554"]; 23[label = "do_readlengths_of_one_file"]; 22 -> 23; 150[label = "annotate"]; 147 -> 150; 83 -> 150; 24[label = "do_readlengths_pdfs"]; 23 -> 24; 57[label = "do_readlengths_pdfs"]; 56 -> 57; 118[label = "index_a_bam_file"]; 117 -> 118; 22[label = "run_cutadapt\nds: 556"]; 49[label = "do_shortreads\nds: 555"]; 140[label = "count_mirna_expression_of_one_dataset"]; 138 -> 140; 139 -> 140; 170[label = "all"]; 57 -> 170; 101 -> 170; 54 -> 170; 21 -> 170; 24 -> 170; 85 -> 170; 103 -> 170; 2 -> 170; 27 -> 170; 144 -> 170; 63 -> 170; 78 -> 170; 82 -> 170; 105 -> 170; 3 -> 170; 86 -> 170; 6 -> 170; 0 -> 170; 107 -> 170; 97 -> 170; 80 -> 170; 36 -> 170; 12 -> 170; 39 -> 170; 8 -> 170; 109 -> 170; 88 -> 170; 18 -> 170; 71 -> 170; 83 -> 170; 5 -> 170; 4 -> 170; 89 -> 170; 60 -> 170; 48 -> 170; 145 -> 170; 113 -> 170; 90 -> 170; 42 -> 170; 169 -> 170; 73 -> 170; 7 -> 170; 84 -> 170; 91 -> 170; 30 -> 170; 51 -> 170; 1 -> 170; 146 -> 170; 87 -> 170; 9 -> 170; 95 -> 170; 33 -> 170; 69 -> 170; 111 -> 170; 99 -> 170; 45 -> 170; 15 -> 170; 66 -> 170; 55[label = "do_shortreads\nds: 557"]; 26[label = "do_readlengths_of_one_file"]; 25 -> 26; 60[label = "do_readlengths_pdfs"]; 59 -> 60; 93[label = "build_bwa_index"]; 92 -> 93; 27[label = "do_readlengths_pdfs"]; 26 -> 27; 52[label = "do_shortreads\nds: 556"]; 135[label = "sort_a_bam_file"]; 108 -> 135; 4[label = "compute_readcounts\nds: 556"]; 59[label = "do_readlengths_of_one_file"]; 58 -> 59; 63[label = "do_readlengths_pdfs"]; 62 -> 63; 154[label = "annotate"]; 147 -> 154; 85 -> 154; 29[label = "do_readlengths_of_one_file"]; 28 -> 29; 6[label = "compute_readcounts\nds: 558"]; 14[label = "do_readlengths_of_one_file"]; 13 -> 14; 3[label = "compute_readcounts\nds: 555"]; 114[label = "sort_a_bam_file"]; 94 -> 114; 73[label = "do_readlengths_pdfs"]; 72 -> 73; 7[label = "compute_readcounts\nds: 559"]; 120[label = "sort_a_bam_file"]; 98 -> 120; 142[label = "index_a_bam_file"]; 141 -> 142; 58[label = "do_shortreads\nds: 558"]; 158[label = "annotate"]; 87 -> 158; 147 -> 158; 62[label = "do_readlengths_of_one_file"]; 61 -> 62; 9[label = "compute_readcounts\nds: 561"]; 28[label = "run_cutadapt\nds: 558"]; 157[label = "rna_type"]; 156 -> 157; 12[label = "do_readlengths_pdfs"]; 11 -> 12; 31[label = "run_cutadapt\nds: 559"]; 61[label = "do_shortreads\nds: 559"]; 168[label = "rnatypes"]; 165 -> 168; 151 -> 168; 149 -> 168; 153 -> 168; 161 -> 168; 163 -> 168; 159 -> 168; 157 -> 168; 155 -> 168; 167 -> 168; 65[label = "do_readlengths_of_one_file"]; 64 -> 65; 136[label = "index_a_bam_file"]; 135 -> 136; 126[label = "sort_a_bam_file"]; 102 -> 126; 50[label = "do_readlengths_of_one_file"]; 49 -> 50; 122[label = "count_mirna_expression_of_one_dataset"]; 121 -> 122; 120 -> 122; 147[label = "hgtrack"]; 39[label = "do_readlengths_pdfs"]; 38 -> 39; 144[label = "normalize_expressions"]; 128 -> 144; 116 -> 144; 122 -> 144; 119 -> 144; 137 -> 144; 131 -> 144; 125 -> 144; 143 -> 144; 140 -> 144; 134 -> 144; 113[label = "count_mirbase_mappable"]; 112 -> 113; 68[label = "do_readlengths_of_one_file"]; 67 -> 68; 45[label = "do_readlengths_pdfs"]; 44 -> 45; 82[label = "map_ds_against_hg"]; 10 -> 82; 81 -> 82; 86[label = "map_ds_against_hg"]; 22 -> 86; 81 -> 86; 117[label = "sort_a_bam_file"]; 96 -> 117; 159[label = "rna_type"]; 158 -> 159; 67[label = "do_shortreads\nds: 561"]; 8[label = "compute_readcounts\nds: 560"]; 88[label = "map_ds_against_hg"]; 28 -> 88; 81 -> 88; 99[label = "count_mirbase_mappable"]; 98 -> 99; 71[label = "do_readlengths_pdfs"]; 70 -> 71; 161[label = "rna_type"]; 160 -> 161; 25[label = "run_cutadapt\nds: 557"]; 89[label = "map_ds_against_hg"]; 31 -> 89; 81 -> 89; 32[label = "do_readlengths_of_one_file"]; 31 -> 32; 124[label = "index_a_bam_file"]; 123 -> 124; 90[label = "map_ds_against_hg"]; 34 -> 90; 81 -> 90; 141[label = "sort_a_bam_file"]; 112 -> 141; 131[label = "count_mirna_expression_of_one_dataset"]; 129 -> 131; 130 -> 131; 160[label = "annotate"]; 147 -> 160; 88 -> 160; 91[label = "map_ds_against_hg"]; 37 -> 91; 81 -> 91; 95[label = "count_mirbase_mappable"]; 94 -> 95; 97[label = "count_mirbase_mappable"]; 96 -> 97; 87[label = "map_ds_against_hg"]; 25 -> 87; 81 -> 87; 70[label = "do_readlengths_summary"]; 23 -> 70; 11 -> 70; 17 -> 70; 26 -> 70; 29 -> 70; 32 -> 70; 14 -> 70; 35 -> 70; 20 -> 70; 38 -> 70; 133[label = "index_a_bam_file"]; 132 -> 133; 149[label = "rna_type"]; 148 -> 149; 94[label = "map_ds_against_mirbase"]; 93 -> 94; 40 -> 94; 92 -> 94; 92[label = "compute_mirnas_with_context"]; 116[label = "count_mirna_expression_of_one_dataset"]; 114 -> 116; 115 -> 116; 125[label = "count_mirna_expression_of_one_dataset"]; 123 -> 125; 124 -> 125; 33[label = "do_readlengths_pdfs"]; 32 -> 33; 96[label = "map_ds_against_mirbase"]; 93 -> 96; 43 -> 96; 92 -> 96; 78[label = "do_readlengths_pdfs"]; 77 -> 78; 101[label = "count_mirbase_mappable"]; 100 -> 101; 17[label = "do_readlengths_of_one_file"]; 16 -> 17; 98[label = "map_ds_against_mirbase"]; 93 -> 98; 46 -> 98; 92 -> 98; 146[label = "correlate_seq_with_rtpcr"]; 144 -> 146; 119[label = "count_mirna_expression_of_one_dataset"]; 117 -> 119; 118 -> 119; 69[label = "do_readlengths_pdfs"]; 68 -> 69; 72[label = "do_readlengths_summary"]; 50 -> 72; 41 -> 72; 56 -> 72; 53 -> 72; 47 -> 72; 44 -> 72; 68 -> 72; 59 -> 72; 65 -> 72; 62 -> 72; 100[label = "map_ds_against_mirbase"]; 93 -> 100; 49 -> 100; 92 -> 100; 162[label = "annotate"]; 89 -> 162; 147 -> 162; 53[label = "do_readlengths_of_one_file"]; 52 -> 53; 105[label = "count_mirbase_mappable"]; 104 -> 105; 167[label = "rna_type"]; 166 -> 167; 48[label = "do_readlengths_pdfs"]; 47 -> 48; 102[label = "map_ds_against_mirbase"]; 93 -> 102; 52 -> 102; 92 -> 102; 107[label = "count_mirbase_mappable"]; 106 -> 107; 148[label = "annotate"]; 82 -> 148; 147 -> 148; 111[label = "count_mirbase_mappable"]; 110 -> 111; 169[label = "plot_rnatypes"]; 168 -> 169; 104[label = "map_ds_against_mirbase"]; 93 -> 104; 55 -> 104; 92 -> 104; 80[label = "plot_mirna_distancematrix_histogram"]; 79 -> 80; 127[label = "index_a_bam_file"]; 126 -> 127; 106[label = "map_ds_against_mirbase"]; 93 -> 106; 58 -> 106; 92 -> 106; 134[label = "count_mirna_expression_of_one_dataset"]; 133 -> 134; 132 -> 134; 108[label = "map_ds_against_mirbase"]; 93 -> 108; 61 -> 108; 92 -> 108; 77[label = "compute_mirna_lengths"]; 79[label = "compute_fasta_distancematrix\nprefix: mirbase/mirnas"]; 85[label = "map_ds_against_hg"]; 19 -> 85; 81 -> 85; 163[label = "rna_type"]; 162 -> 163; 110[label = "map_ds_against_mirbase"]; 64 -> 110; 92 -> 110; 93 -> 110; 66[label = "do_readlengths_pdfs"]; 65 -> 66; 129[label = "sort_a_bam_file"]; 104 -> 129; 121[label = "index_a_bam_file"]; 120 -> 121; 30[label = "do_readlengths_pdfs"]; 29 -> 30; 112[label = "map_ds_against_mirbase"]; 67 -> 112; 92 -> 112; 93 -> 112; 1[label = "compute_readcounts\nds: 553"]; 128[label = "count_mirna_expression_of_one_dataset"]; 126 -> 128; 127 -> 128; 130[label = "index_a_bam_file"]; 129 -> 130; 44[label = "do_readlengths_of_one_file"]; 43 -> 44; 81[label = "build_bwa_index\nprefix: hgref/hg1kv37.fasta.gz"]; 15[label = "do_readlengths_pdfs"]; 14 -> 15; 145[label = "differential_expressions"]; 144 -> 145; 156[label = "annotate"]; 147 -> 156; 86 -> 156; 83[label = "map_ds_against_hg"]; 13 -> 83; 81 -> 83; 123[label = "sort_a_bam_file"]; 100 -> 123; 115[label = "index_a_bam_file"]; 114 -> 115; } snakemake-6.15.1/examples/mirna/dag.png000066400000000000000000110377131417574166400177640ustar00rootroot00000000000000‰PNG  IHDRØÈb NbKGDÿÿÿ ½§“ IDATxœìÝy|Tõ½ÿñ3Y&Édf2ÉL&;Â* ”Š,BªâRÄB[Ûzµ¿ mµj[{ÛjmµjÑÒÖ½EÅJQ°ŠÊj `Yƒ$HöÌL&ËÌd²Ïöûã{sîÜ„Mœ,¯ççñ=ßùž3ŸïdÁÇøÎgTÁ`P€/#Léô?‘|i‘|iJ€‹ÔÜÜìõz{ηµµµ··_ùzdaaaqqqçX©Õj¯X=¸"€¨©©Éï÷K!‘\ŸÏçñxÄ£.—+ J’ÔÒÒÒÙÙ)IRgggKK‹$IÁ`Ðår…Þªµµµ££C> n·;t|Áï÷755….è­$Tϧ–¹Ýî@ pû8¢££cbbäÓ¸¸¸°°ÿùèïn!f­V)ÆÝÐr“ÐKäò=cbb¢££Ï¶Þ`0¨Tª^Ý7@¢ÿU 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definition for Snakemake. To use this file in nano, copy the `syntax/snakemake.nanorc` file to your `$HOME` directory and add a line to your ~/.nanorc saying: include $HOME/snakemake.nanorc NB. Line 12 of the syntax file contains a regular expression for identifying a shebang (#!) header line. This command is not supported in some versions of nano, so is commented out. If you wish to enable it, simply remove the # at the beginning of the line. If you are uncertain if your version of nano supports this command, you may remove it and try. You will see an error if it does not. Leaving the line commented out will result in the header being treated as a regular comment for highlighting purposes. snakemake-6.15.1/misc/nano/syntax/000077500000000000000000000000001417574166400167765ustar00rootroot00000000000000snakemake-6.15.1/misc/nano/syntax/snakemake.nanorc000066400000000000000000000026141417574166400221420ustar00rootroot00000000000000# A nano syntax sheet for Snakemake files # Language: Snakemake (extended from python.nanorc # Maintainer: Bailey Harrington (baileythegreen@gmail.com) # Created: 28 September 2020 # Last change: 13 October 2020 # To use this file in nano, add a # line to your ~/.nanorc saying: # include /snakemake.nanorc # Specify the filename patterns this syntax applies to syntax "python" "\.smk$" "Snakefile$" "\.snake$" # describes the shebang line as the header # header "^#!.*/python[-0-9._]*" # Python keywords color blue "\<(and|as|assert|break|class|continue|del|elif|else|except|exec|finally|for|from|global|if|import|in|is|lambda|not|or|pass|print|raise|return|try|while|with|yield)\>" # the function definition keyword for Python color brightblue "def [0-9A-Za-z_]+" # strings color green "['][^']*[^\\][']" "[']{3}.*[^\\][']{3}" color green "["][^"]*[^\\]["]" "["]{3}.*[^\\]["]{3}" # multi-line comments color green start=""""[^"]" end=""""" start="'''[^']" end="'''" # regular comments color brightmagenta "#.*$" # Snakemake keywords color blue "\<(include|workdir|onsuccess|onerror|ruleorder|localrules|configfile|touch|protected|temp|input|output|params|message|threads|resources|version|run|shell|benchmark|snakefile|log)\>" # rule or subworkflow names color brightmagenta "(rule|subworkflow)\s*[A-Za-z_]*" # the Snakemake rule and subworkflow keywords color blue "(rule|subworkflow)" snakemake-6.15.1/misc/vim/000077500000000000000000000000001417574166400153105ustar00rootroot00000000000000snakemake-6.15.1/misc/vim/README.md000066400000000000000000000007661417574166400166000ustar00rootroot00000000000000A vim syntax highlighting definition for Snakemake. To install via Vundle use: Plugin 'https://github.com/snakemake/snakemake.git', {'rtp': 'misc/vim/'} To install via [vim-plug]( https://github.com/junegunn/vim-plug): Plug 'snakemake/snakemake', {'rtp': 'misc/vim'} To manually install, copy `syntax/snakemake.vim` file to `$HOME/.vim/syntax` directory and `ftdetect/snakemake.vim` file to `$HOME/.vim/ftdetect`. Highlighting can be forced in a vim session with `:set syntax=snakemake`. snakemake-6.15.1/misc/vim/ftdetect/000077500000000000000000000000001417574166400171125ustar00rootroot00000000000000snakemake-6.15.1/misc/vim/ftdetect/snakemake.vim000066400000000000000000000004131417574166400215640ustar00rootroot00000000000000" Vim ftdetect file " Language: Snakemake (extended from python.vim) " Maintainer: Jay Hesselberth (jay.hesselberth@gmail.com) " Last Change: 2020 Oct 6 " " Usage " " copy to $HOME/.vim/ftdetect directory au BufNewFile,BufRead Snakefile,*.smk set filetype=snakemake snakemake-6.15.1/misc/vim/ftplugin/000077500000000000000000000000001417574166400171405ustar00rootroot00000000000000snakemake-6.15.1/misc/vim/ftplugin/snakemake/000077500000000000000000000000001417574166400210775ustar00rootroot00000000000000snakemake-6.15.1/misc/vim/ftplugin/snakemake/folding.vim000066400000000000000000000024401417574166400232360ustar00rootroot00000000000000setlocal foldmethod=expr setlocal foldexpr=GetSnakemakeFold(v:lnum) function! GetSnakemakeFold(lnum) " fold preamble if a:lnum == 1 return '>1' endif let thisline = getline(a:lnum) " blank lines end folds if thisline =~? '\v^\s*$' return '-1' " start fold on top level rules or python objects elseif thisline =~? '\v^(rule|def|checkpoint|class)' return ">1" elseif thisline =~? '\v^\S' if PreviousLineIndented(a:lnum) && NextRuleIndented(a:lnum) return ">1" endif endif return "=" endfunction function! NextRuleIndented(lnum) let numlines = line('$') let current = a:lnum + 1 while current <= numlines let thisline = getline(current) if thisline =~? '\v^(rule|def|checkpoint|class)' return 0 elseif thisline =~? '\v^\s+(rule|checkpoint)' return 1 endif let current += 1 endwhile return 0 endfunction function! PreviousLineIndented(lnum) let current = a:lnum - 1 while current >= 1 let thisline = getline(current) if thisline =~? '\v^\S' return 0 elseif thisline =~? '\v^\s+\S' return 1 endif let current -= 1 endwhile return 0 endfunction snakemake-6.15.1/misc/vim/ftplugin/snakemake/sections.vim000066400000000000000000000021351417574166400234440ustar00rootroot00000000000000function! s:NextSection(type, backwards, visual) if a:visual normal! gv endif if a:type == 1 let pattern = '\v(^rule|^checkpoint|^def|%^)' elseif a:type == 2 let pattern = '\v\n\zs\n^(rule|checkpoint|def)' endif if a:backwards let dir = '?' else let dir = '/' endif execute 'silent normal! ' . dir . pattern . dir . "\r" endfunction noremap

Resources

{% for resource in resources %}
{% endfor %}
snakemake-6.15.1/snakemake/gui.py000066400000000000000000000106241417574166400166620ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import json import os import threading from flask import Flask, render_template, request from snakemake.common import __version__ LOCK = threading.Lock() app = Flask("snakemake", template_folder=os.path.dirname(__file__)) # app.debug=True app.extensions = { "dag": None, "run_snakemake": None, "progress": "", "log": [], "status": {"running": False}, "args": None, "targets": [], "rule_info": [], "resources": [], } def register(run_snakemake, args): app.extensions["run_snakemake"] = run_snakemake app.extensions["args"] = dict( targets=args.target, cluster=args.cluster, workdir=args.directory, touch=args.touch, forcetargets=args.force, forceall=args.forceall, forcerun=args.forcerun, prioritytargets=args.prioritize, stats=args.stats, keepgoing=args.keep_going, jobname=args.jobname, immediate_submit=args.immediate_submit, ignore_ambiguity=args.allow_ambiguity, lock=not args.nolock, force_incomplete=args.rerun_incomplete, ignore_incomplete=args.ignore_incomplete, jobscript=args.jobscript, notemp=args.notemp, latency_wait=args.latency_wait, ) target_rules = [] def log_handler(msg): if msg["level"] == "rule_info": target_rules.append(msg["name"]) run_snakemake(list_target_rules=True, log_handler=[log_handler]) for target in args.target: target_rules.remove(target) app.extensions["targets"] = args.target + target_rules resources = [] def log_handler(msg): if msg["level"] == "info": resources.append(msg["msg"]) run_snakemake(list_resources=True, log_handler=[log_handler]) app.extensions["resources"] = resources app.extensions["snakefilepath"] = os.path.abspath(args.snakefile) def run_snakemake(**kwargs): args = dict(app.extensions["args"]) args.update(kwargs) app.extensions["run_snakemake"](**args) @app.route("/") def index(): args = app.extensions["args"] return render_template( "gui.html", targets=app.extensions["targets"], cores_label="Nodes" if args["cluster"] else "Cores", resources=app.extensions["resources"], snakefilepath=app.extensions["snakefilepath"], version=__version__, node_width=15, node_padding=10, ) @app.route("/dag") def dag(): if app.extensions["dag"] is None: def record(msg): if msg["level"] == "d3dag": app.extensions["dag"] = msg elif msg["level"] in ("error", "info"): app.extensions["log"].append(msg) run_snakemake(printd3dag=True, log_handler=[record]) return json.dumps(app.extensions["dag"]) @app.route("/log/") def log(id): log = app.extensions["log"][id:] return json.dumps(log) @app.route("/progress") def progress(): return json.dumps(app.extensions["progress"]) def _run(dryrun=False, cores=1): def log_handler(msg): level = msg["level"] if level == "progress": app.extensions["progress"] = msg elif level in ("info", "error", "job_info", "job_finished", "job_error"): app.extensions["log"].append(msg) with LOCK: app.extensions["status"]["running"] = True run_snakemake(log_handler=[log_handler], dryrun=dryrun, cores=cores) with LOCK: app.extensions["status"]["running"] = False return "" @app.route("/run/") def run(cores): return _run(cores=cores) @app.route("/dryrun") def dryrun(): return _run(dryrun=True) @app.route("/status") def status(): with LOCK: return json.dumps(app.extensions["status"]) @app.route("/targets") def targets(): return json.dumps(app.extensions["targets"]) @app.route("/get_args") def get_args(): return json.dumps(app.extensions["args"]) @app.route("/set_args", methods=["POST"]) def set_args(): app.extensions["args"].update( {name: value for name, value in request.form.items() if not name.endswith("[]")} ) targets = request.form.getlist("targets[]") if targets != app.extensions["args"]["targets"]: app.extensions["dag"] = None app.extensions["args"]["targets"] = targets return "" snakemake-6.15.1/snakemake/io.py000077500000000000000000001502411417574166400165100ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import collections import os import shutil from pathlib import Path import re import stat import time import datetime import json import copy import functools import subprocess as sp from itertools import product, chain from contextlib import contextmanager import string import collections import asyncio from snakemake.exceptions import ( MissingOutputException, WorkflowError, WildcardError, RemoteFileException, ) from snakemake.logging import logger from inspect import isfunction, ismethod from snakemake.common import DYNAMIC_FILL, ON_WINDOWS, async_run class Mtime: __slots__ = ["_local", "_local_target", "_remote"] def __init__(self, local=None, local_target=None, remote=None): self._local = local self._local_target = local_target self._remote = remote def local_or_remote(self, follow_symlinks=False): if self._remote is not None: return self._remote if follow_symlinks and self._local_target is not None: return self._local_target return self._local def remote( self, ): return self._remote def local(self, follow_symlinks=False): if follow_symlinks and self._local_target is not None: return self._local_target return self._local def lutime(f, times): # In some cases, we have a platform where os.supports_follow_symlink includes stat() # but not utime(). This leads to an anomaly. In any case we never want to touch the # target of a link. if os.utime in os.supports_follow_symlinks: # ...utime is well behaved os.utime(f, times, follow_symlinks=False) elif not os.path.islink(f): # ...symlinks not an issue here os.utime(f, times) else: try: # try the system command if times: fmt_time = lambda sec: datetime.fromtimestamp(sec).strftime( "%Y%m%d%H%M.%S" ) atime, mtime = times sp.check_call(["touch", "-h", f, "-a", "-t", fmt_time(atime)]) sp.check_call(["touch", "-h", f, "-m", "-t", fmt_time(mtime)]) else: sp.check_call(["touch", "-h", f]) except sp.CalledProcessError: pass # ...problem system. Do nothing. logger.warning( "Unable to set utime on symlink {}. Your Python build does not support it.".format( f ) ) return None if os.chmod in os.supports_follow_symlinks: def lchmod(f, mode): os.chmod(f, mode, follow_symlinks=False) else: def lchmod(f, mode): os.chmod(f, mode) class ExistsDict(dict): def __init__(self, cache): super().__init__() self.cache = cache self.has_inventory = set() def __getitem__(self, path): # Always return False if not in dict. # The reason is that this is only called if the method contains below has returned True. # Hence, we already know that either path is in dict, or inventory has never # seen it, and hence it does not exist. return self.get(path, False) def __contains__(self, path): # if already in inventory, always return True. parent = path.get_inventory_parent() return parent in self.has_inventory or super().__contains__(path) class IOCache: def __init__(self, max_wait_time): self.mtime = dict() self.exists_local = ExistsDict(self) self.exists_remote = ExistsDict(self) self.size = dict() self.active = True self.remaining_wait_time = max_wait_time self.max_wait_time = max_wait_time def mtime_inventory(self, jobs): async_run(self._mtime_inventory(jobs)) async def _mtime_inventory(self, jobs, n_workers=8): queue = asyncio.Queue() stop_item = object() async def worker(queue): while True: item = await queue.get() if item is stop_item: queue.task_done() return try: self.mtime[item] = await self.collect_mtime(item) except Exception as e: queue.task_done() raise e queue.task_done() tasks = [ asyncio.get_event_loop().create_task(worker(queue)) for _ in range(n_workers) ] for job in jobs: for f in chain(job.input, job.expanded_output): if f.exists: queue.put_nowait(f) if job.benchmark and job.benchmark.exists: queue.put_nowait(job.benchmark) # Send a stop item to each worker. for _ in range(n_workers): queue.put_nowait(stop_item) await asyncio.gather(*tasks) async def collect_mtime(self, path): return path.mtime_uncached def clear(self): self.mtime.clear() self.size.clear() self.exists_local.clear() self.exists_remote.clear() self.remaining_wait_time = self.max_wait_time def deactivate(self): self.clear() self.active = False def IOFile(file, rule=None): assert rule is not None f = _IOFile(file) f.rule = rule return f class _IOFile(str): """ A file that is either input or output of a rule. """ __slots__ = [ "_is_function", "_file", "rule", "_regex", ] def __new__(cls, file): is_annotated = isinstance(file, AnnotatedString) is_callable = ( isfunction(file) or ismethod(file) or (is_annotated and bool(file.callable)) ) if not is_callable and file.endswith("/"): # remove trailing slashes stripped = file.rstrip("/") if is_annotated: stripped = AnnotatedString(stripped) stripped.flags = file.flags file = stripped obj = str.__new__(cls, file) obj._is_function = is_callable obj._file = file obj.rule = None obj._regex = None if obj.is_remote: obj.remote_object._iofile = obj return obj def new_from(self, new_value): new = str.__new__(self.__class__, new_value) new._is_function = self._is_function new._file = self._file new.rule = self.rule if new.is_remote: new.remote_object._iofile = new return new def iocache(func): @functools.wraps(func) def wrapper(self, *args, **kwargs): if self.rule.workflow.iocache.active: cache = getattr(self.rule.workflow.iocache, func.__name__) if self in cache: return cache[self] v = func(self, *args, **kwargs) cache[self] = v return v else: return func(self, *args, **kwargs) return wrapper def _refer_to_remote(func): """ A decorator so that if the file is remote and has a version of the same file-related function, call that version instead. """ @functools.wraps(func) def wrapper(self, *args, **kwargs): if self.is_remote: if hasattr(self.remote_object, func.__name__): return getattr(self.remote_object, func.__name__)(*args, **kwargs) return func(self, *args, **kwargs) return wrapper def inventory(self): async_run(self._inventory()) async def _inventory(self): """Starting from the given file, try to cache as much existence and modification date information of this and other files as possible. """ cache = self.rule.workflow.iocache if cache.active: tasks = [] if self.is_remote and self not in cache.exists_remote: # info not yet in inventory, let's discover as much as we can tasks.append(self.remote_object.inventory(cache)) if not ON_WINDOWS and self not in cache.exists_local: # we don't want to mess with different path representations on windows tasks.append(self._local_inventory(cache)) await asyncio.gather(*tasks) async def _local_inventory(self, cache): # for local files, perform BFS via os.scandir to determine existence of files if cache.remaining_wait_time <= 0: # No more time to create inventory. return start_time = time.time() folders = self.split("/")[:-1] if not folders: return if os.path.isabs(self): # For absolute paths, only use scan the immediate parent ancestors = [os.path.dirname(self)] else: ancestors = ["/".join(folders[:i]) for i in range(1, len(folders) + 1)] for (i, path) in enumerate(ancestors): if path in cache.exists_local.has_inventory: # This path was already scanned before, hence we can stop. break try: with os.scandir(path) as scan: for entry in scan: cache.exists_local[entry.path] = True cache.exists_local[path] = True cache.exists_local.has_inventory.add(path) except FileNotFoundError: # Not found, hence, all subfolders cannot be present as well for path in ancestors[i:]: cache.exists_local[path] = False cache.exists_local.has_inventory.add(path) break except PermissionError: raise WorkflowError( "Insufficient permissions to access {}. " "Please make sure that all accessed files and directories " "are readable and writable for you.".format(self) ) cache.remaining_wait_time -= time.time() - start_time @_refer_to_remote def get_inventory_parent(self): """If eligible for inventory, get the parent of a given path. This code does not work on local Windows paths, but inventory is disabled on Windows. """ parent = os.path.dirname(self) if parent and parent != "..": return parent @contextmanager def open(self, mode="r", buffering=-1, encoding=None, errors=None, newline=None): """Open this file. If necessary, download it from remote first. This can (and should) be used in a `with`-statement. """ if not self.exists: raise WorkflowError( "File {} cannot be opened, since it does not exist.".format(self) ) if not self.exists_local and self.is_remote: self.download_from_remote() f = open(self) try: yield f finally: f.close() def contains_wildcard(self): return contains_wildcard(self.file) @property def is_remote(self): return is_flagged(self._file, "remote_object") @property def is_ancient(self): return is_flagged(self._file, "ancient") @property def is_directory(self): return is_flagged(self._file, "directory") @property def is_temp(self): return is_flagged(self._file, "temp") @property def is_multiext(self): return is_flagged(self._file, "multiext") @property def multiext_prefix(self): return get_flag_value(self._file, "multiext") def update_remote_filepath(self): # if the file string is different in the iofile, update the remote object # (as in the case of wildcard expansion) remote_object = self.remote_object if remote_object._file != self._file: remote_object._iofile = self @property def should_keep_local(self): return self.remote_object.keep_local @property def should_stay_on_remote(self): return self.remote_object.stay_on_remote @property def remote_object(self): return get_flag_value(self._file, "remote_object") @property @_refer_to_remote def file(self): if not self._is_function: return self._file else: raise ValueError( "This IOFile is specified as a function and " "may not be used directly." ) def check(self): hint = ( "It can also lead to inconsistent results of the file-matching " "approach used by Snakemake." ) if self._file.startswith("./"): logger.warning( "Relative file path '{}' starts with './'. This is redundant " "and strongly discouraged. {} You can simply omit the './' " "for relative file paths.".format(self._file, hint) ) if self._file.startswith(" "): logger.warning( "File path '{}' starts with whitespace. " "This is likely unintended. {}".format(self._file, hint) ) if self._file.endswith(" "): logger.warning( "File path '{}' ends with whitespace. " "This is likely unintended. {}".format(self._file, hint) ) if "\n" in self._file: logger.warning( "File path '{}' contains line break. " "This is likely unintended. {}".format(self._file, hint) ) if _double_slash_regex.search(self._file) is not None and not self.is_remote: logger.warning( "File path {} contains double '{}'. " "This is likely unintended. {}".format(self._file, os.path.sep, hint) ) @property def exists(self): if self.is_remote: return self.exists_remote else: return self.exists_local def parents(self, omit=0): """Yield all parent paths, omitting the given number of ancestors.""" for p in list(Path(self.file).parents)[::-1][omit:]: p = IOFile(str(p), rule=self.rule) p.clone_flags(self) yield p @property @iocache def exists_local(self): return os.path.exists(self.file) @property @iocache def exists_remote(self): if not self.is_remote: return False return self.remote_object.exists() @property def protected(self): """Returns True if the file is protected. Always False for symlinks.""" # symlinks are never regarded as protected return ( self.exists_local and not os.access(self.file, os.W_OK) and not os.path.islink(self.file) ) @property @iocache def mtime(self): return self.mtime_uncached @property def mtime_uncached(self): """Obtain mtime. Usually, this will be one stat call only. For symlinks and directories it will be two, for symlinked directories it will be three, for remote files it will additionally query the remote location. """ mtime_remote = self.remote_object.mtime() if self.is_remote else None # We first do a normal stat. try: _stat = os.stat(self.file, follow_symlinks=False) is_symlink = stat.S_ISLNK(_stat.st_mode) is_dir = stat.S_ISDIR(_stat.st_mode) mtime = _stat.st_mtime def get_dir_mtime(): # Try whether we have a timestamp file for it. return os.stat( os.path.join(self.file, ".snakemake_timestamp"), follow_symlinks=True, ).st_mtime if not is_symlink: if is_dir: try: mtime = get_dir_mtime() except FileNotFoundError: # No timestamp, hence go on as if it is a file. pass # In the usual case, not a dir, not a symlink. # We need just a single stat call. return Mtime(local=mtime, remote=mtime_remote) else: # In case of a symlink, we need the stats for the target file/dir. target_stat = os.stat(self.file, follow_symlinks=True) # Further, we need to check again if this is a directory. is_dir = stat.S_ISDIR(target_stat.st_mode) mtime_target = target_stat.st_mtime if is_dir: try: mtime_target = get_dir_mtime() except FileNotFoundError: # No timestamp, hence go on as if it is a file. pass return Mtime( local=mtime, local_target=mtime_target, remote=mtime_remote ) except FileNotFoundError: if self.is_remote: return Mtime(remote=mtime_remote) raise WorkflowError( "Unable to obtain modification time of file {} although it existed before. " "It could be that a concurrent process has deleted it while Snakemake " "was running.".format(self.file) ) except PermissionError: raise WorkflowError( "Unable to obtain modification time of file {} because of missing " "read permissions.".format(self.file) ) @property def flags(self): return getattr(self._file, "flags", {}) @property @iocache @_refer_to_remote def size(self): return self.size_local @property def size_local(self): # follow symlinks but throw error if invalid self.check_broken_symlink() return os.path.getsize(self.file) def check_broken_symlink(self): """Raise WorkflowError if file is a broken symlink.""" if not self.exists_local and os.lstat(self.file): raise WorkflowError( "File {} seems to be a broken symlink.".format(self.file) ) @_refer_to_remote def is_newer(self, time): """Returns true of the file (which is an input file) is newer than time, or if it is a symlink that points to a file newer than time.""" if self.is_ancient: return False return self.mtime.local_or_remote(follow_symlinks=True) > time def download_from_remote(self): if self.is_remote and self.remote_object.exists(): if not self.should_stay_on_remote: logger.info("Downloading from remote: {}".format(self.file)) self.remote_object.download() logger.info("Finished download.") else: raise RemoteFileException( "The file to be downloaded does not seem to exist remotely." ) def upload_to_remote(self): if self.is_remote: logger.info("Uploading to remote: {}".format(self.file)) self.remote_object.upload() logger.info("Finished upload.") def prepare(self): path_until_wildcard = re.split(DYNAMIC_FILL, self.file)[0] dir = os.path.dirname(path_until_wildcard) if len(dir) > 0: try: os.makedirs(dir, exist_ok=True) except OSError as e: # ignore Errno 17 "File exists" (reason: multiprocessing) if e.errno != 17: raise e if is_flagged(self._file, "pipe"): os.mkfifo(self._file) def protect(self): mode = ( os.lstat(self.file).st_mode & ~stat.S_IWUSR & ~stat.S_IWGRP & ~stat.S_IWOTH ) if os.path.isdir(self.file): for root, dirs, files in os.walk(self.file): for d in dirs: lchmod(os.path.join(self.file, d), mode) for f in files: lchmod(os.path.join(self.file, f), mode) lchmod(self.file, mode) def remove(self, remove_non_empty_dir=False): if self.is_directory: remove(self, remove_non_empty_dir=True) else: remove(self, remove_non_empty_dir=remove_non_empty_dir) def touch(self, times=None): """times must be 2-tuple: (atime, mtime)""" try: if self.is_directory: file = os.path.join(self.file, ".snakemake_timestamp") # Create the flag file if it doesn't exist if not os.path.exists(file): with open(file, "w"): pass lutime(file, times) else: lutime(self.file, times) except OSError as e: if e.errno == 2: raise MissingOutputException( "Output file {} of rule {} shall be touched but " "does not exist.".format(self.file, self.rule.name), lineno=self.rule.lineno, snakefile=self.rule.snakefile, ) else: raise e def touch_or_create(self): try: self.touch() except MissingOutputException: # first create directory if it does not yet exist dir = self.file if self.is_directory else os.path.dirname(self.file) if dir: os.makedirs(dir, exist_ok=True) # create empty file file = ( os.path.join(self.file, ".snakemake_timestamp") if self.is_directory else self.file ) with open(file, "w") as f: pass def apply_wildcards(self, wildcards, fill_missing=False, fail_dynamic=False): f = self._file if self._is_function: f = self._file(Namedlist(fromdict=wildcards)) # this bit ensures flags are transferred over to files after # wildcards are applied file_with_wildcards_applied = IOFile( apply_wildcards( f, wildcards, fill_missing=fill_missing, fail_dynamic=fail_dynamic, dynamic_fill=DYNAMIC_FILL, ), rule=self.rule, ) file_with_wildcards_applied.clone_flags(self) return file_with_wildcards_applied def get_wildcard_names(self): return get_wildcard_names(self.file) def regex(self): if self._regex is None: # compile a regular expression self._regex = re.compile(regex(self.file)) return self._regex def constant_prefix(self): first_wildcard = _wildcard_regex.search(self.file) if first_wildcard: return self.file[: first_wildcard.start()] return self.file def constant_suffix(self): m = None for m in _wildcard_regex.finditer(self.file): pass last_wildcard = m if last_wildcard: return self.file[last_wildcard.end() :] return self.file def match(self, target): return self.regex().match(target) or None def format_dynamic(self): return self.replace(DYNAMIC_FILL, "{*}") def clone_flags(self, other): if isinstance(self._file, str): self._file = AnnotatedString(self._file) if isinstance(other._file, AnnotatedString): self._file.flags = getattr(other._file, "flags", {}).copy() if "remote_object" in self._file.flags: self._file.flags["remote_object"] = copy.copy( self._file.flags["remote_object"] ) self.update_remote_filepath() def clone_remote_object(self, other): if ( isinstance(other._file, AnnotatedString) and "remote_object" in other._file.flags ): self._file.flags["remote_object"] = copy.copy( other._file.flags["remote_object"] ) self.update_remote_filepath() def set_flags(self, flags): if isinstance(self._file, str): self._file = AnnotatedString(self._file) self._file.flags = flags def __eq__(self, other): f = other._file if isinstance(other, _IOFile) else other return self._file == f def __hash__(self): return self._file.__hash__() _double_slash_regex = ( re.compile(r"([^:]//|^//)") if os.path.sep == "/" else re.compile(r"\\\\") ) _wildcard_regex = re.compile( r""" \{ (?=( # This lookahead assertion emulates an 'atomic group' # which is required for performance \s*(?P\w+) # wildcard name (\s*,\s* (?P # an optional constraint ([^{}]+ | \{\d+(,\d+)?\})* # allow curly braces to nest one level ) # ... as in '{w,a{3,5}}' )?\s* ))\1 \} """, re.VERBOSE, ) def wait_for_files( files, latency_wait=3, force_stay_on_remote=False, ignore_pipe=False ): """Wait for given files to be present in the filesystem.""" files = list(files) def get_missing(): return [ f for f in files if not ( f.exists_remote if ( isinstance(f, _IOFile) and f.is_remote and (force_stay_on_remote or f.should_stay_on_remote) ) else os.path.exists(f) if not (is_flagged(f, "pipe") and ignore_pipe) else True ) ] missing = get_missing() if missing: logger.info( "Waiting at most {} seconds for missing files.".format(latency_wait) ) for _ in range(latency_wait): if not get_missing(): return time.sleep(1) raise IOError( "Missing files after {} seconds:\n{}".format( latency_wait, "\n".join(get_missing()) ) ) def get_wildcard_names(pattern): return set(match.group("name") for match in _wildcard_regex.finditer(pattern)) def contains_wildcard(path): return _wildcard_regex.search(path) is not None def contains_wildcard_constraints(pattern): return any(match.group("constraint") for match in _wildcard_regex.finditer(pattern)) def remove(file, remove_non_empty_dir=False): if file.is_remote and file.should_stay_on_remote: if file.exists_remote: file.remote_object.remove() elif os.path.isdir(file) and not os.path.islink(file): if remove_non_empty_dir: shutil.rmtree(file) else: try: os.removedirs(file) except OSError as e: # skip non empty directories if e.errno == 39: logger.info( "Skipped removing non-empty directory {}".format(e.filename) ) else: logger.warning(str(e)) # Remember that dangling symlinks fail the os.path.exists() test, but # we definitely still want to zap them. try/except is the safest way. # Also, we don't want to remove the null device if it is an output. elif os.devnull != str(file): try: os.remove(file) except FileNotFoundError: pass def regex(filepattern): f = [] last = 0 wildcards = set() for match in _wildcard_regex.finditer(filepattern): f.append(re.escape(filepattern[last : match.start()])) wildcard = match.group("name") if wildcard in wildcards: if match.group("constraint"): raise ValueError( "Constraint regex must be defined only in the first " "occurence of the wildcard in a string." ) f.append("(?P={})".format(wildcard)) else: wildcards.add(wildcard) f.append( "(?P<{}>{})".format( wildcard, match.group("constraint") if match.group("constraint") else ".+", ) ) last = match.end() f.append(re.escape(filepattern[last:])) f.append("$") # ensure that the match spans the whole file return "".join(f) def apply_wildcards( pattern, wildcards, fill_missing=False, fail_dynamic=False, dynamic_fill=None, keep_dynamic=False, ): def format_match(match): name = match.group("name") try: value = wildcards[name] if fail_dynamic and value == dynamic_fill: raise WildcardError(name) return str(value) # convert anything into a str except KeyError as ex: if keep_dynamic: return "{{{}}}".format(name) elif fill_missing: return dynamic_fill else: raise WildcardError(str(ex)) return _wildcard_regex.sub(format_match, pattern) def not_iterable(value): return ( isinstance(value, str) or isinstance(value, dict) or not isinstance(value, collections.abc.Iterable) ) def is_callable(value): return ( callable(value) or (isinstance(value, _IOFile) and value._is_function) or (isinstance(value, AnnotatedString) and value.callable is not None) ) class AnnotatedString(str): def __init__(self, value): self.flags = dict() self.callable = value if is_callable(value) else None def new_from(self, new_value): new = str.__new__(self.__class__, new_value) new.flags = self.flags new.callable = self.callable return new def flag(value, flag_type, flag_value=True): if isinstance(value, AnnotatedString): value.flags[flag_type] = flag_value return value if not_iterable(value): value = AnnotatedString(value) value.flags[flag_type] = flag_value return value return [flag(v, flag_type, flag_value=flag_value) for v in value] def is_flagged(value, flag): if isinstance(value, AnnotatedString): return flag in value.flags and value.flags[flag] if isinstance(value, _IOFile): return flag in value.flags and value.flags[flag] return False def get_flag_value(value, flag_type): if isinstance(value, AnnotatedString) or isinstance(value, _IOFile): if flag_type in value.flags: return value.flags[flag_type] else: return None def ancient(value): """ A flag for an input file that shall be considered ancient; i.e. its timestamp shall have no effect on which jobs to run. """ return flag(value, "ancient") def directory(value): """ A flag to specify that output is a directory, rather than a file or named pipe. """ if is_flagged(value, "pipe"): raise SyntaxError("Pipe and directory flags are mutually exclusive.") if is_flagged(value, "remote"): raise SyntaxError("Remote and directory flags are mutually exclusive.") if is_flagged(value, "dynamic"): raise SyntaxError("Dynamic and directory flags are mutually exclusive.") return flag(value, "directory") def temp(value): """ A flag for an input or output file that shall be removed after usage. """ if is_flagged(value, "protected"): raise SyntaxError("Protected and temporary flags are mutually exclusive.") if is_flagged(value, "remote"): raise SyntaxError("Remote and temporary flags are mutually exclusive.") return flag(value, "temp") def pipe(value): if is_flagged(value, "protected"): raise SyntaxError("Pipes may not be protected.") if is_flagged(value, "remote"): raise SyntaxError("Pipes may not be remote files.") if ON_WINDOWS: logger.warning("Pipes is not yet supported on Windows.") return flag(value, "pipe", not ON_WINDOWS) def temporary(value): """An alias for temp.""" return temp(value) def protected(value): """A flag for a file that shall be write-protected after creation.""" if is_flagged(value, "temp"): raise SyntaxError("Protected and temporary flags are mutually exclusive.") if is_flagged(value, "remote"): raise SyntaxError("Remote and protected flags are mutually exclusive.") return flag(value, "protected") def dynamic(value): """ A flag for a file that shall be dynamic, i.e. the multiplicity (and wildcard values) will be expanded after a certain rule has been run""" annotated = flag(value, "dynamic", True) tocheck = [annotated] if not_iterable(annotated) else annotated for file in tocheck: matches = list(_wildcard_regex.finditer(file)) # if len(matches) != 1: # raise SyntaxError("Dynamic files need exactly one wildcard.") for match in matches: if match.group("constraint"): raise SyntaxError( "The wildcards in dynamic files cannot be constrained." ) return annotated def touch(value): return flag(value, "touch") def unpack(value): return flag(value, "unpack") def repeat(value, n_repeat): """Flag benchmark records with the number of repeats.""" return flag(value, "repeat", n_repeat) def checkpoint_target(value): return flag(value, "checkpoint_target") ReportObject = collections.namedtuple( "ReportObject", ["caption", "category", "subcategory", "patterns", "htmlindex"] ) def report( value, caption=None, category=None, subcategory=None, patterns=[], htmlindex=None ): """Flag output file or directory as to be included into reports. In the case of a directory, files to include can be specified via a glob pattern (default: *). Arguments value -- File or directory. caption -- Path to a .rst file with a textual description of the result. category -- Name of the category in which the result should be displayed in the report. pattern -- Wildcard pattern for selecting files if a directory is given (this is used as input for snakemake.io.glob_wildcards). Pattern shall not include the path to the directory itself. """ return flag( value, "report", ReportObject(caption, category, subcategory, patterns, htmlindex), ) def local(value): """Mark a file as a local file. This disables the application of a default remote provider. """ if is_flagged(value, "remote"): raise SyntaxError("Remote and local flags are mutually exclusive.") return flag(value, "local") def expand(*args, **wildcards): """ Expand wildcards in given filepatterns. Arguments *args -- first arg: filepatterns as list or one single filepattern, second arg (optional): a function to combine wildcard values (itertools.product per default) **wildcards -- the wildcards as keyword arguments with their values as lists. If allow_missing=True is included wildcards in filepattern without values will stay unformatted. """ filepatterns = args[0] if len(args) == 1: combinator = product elif len(args) == 2: combinator = args[1] if isinstance(filepatterns, str) or isinstance(filepatterns, Path): filepatterns = [filepatterns] def path_to_str(f): if isinstance(f, Path): return str(f) return f filepatterns = list(map(path_to_str, filepatterns)) if any(map(lambda f: getattr(f, "flags", {}), filepatterns)): raise WorkflowError( "Flags in file patterns given to expand() are invalid. " "Flags (e.g. temp(), directory()) have to be applied outside " "of expand (e.g. 'temp(expand(\"plots/{sample}.pdf\", sample=SAMPLES))')." ) # check if remove missing is provided format_dict = dict if "allow_missing" in wildcards and wildcards["allow_missing"] is True: class FormatDict(dict): def __missing__(self, key): return "{" + key + "}" format_dict = FormatDict # check that remove missing is not a wildcard in the filepatterns for filepattern in filepatterns: if "allow_missing" in re.findall(r"{([^}\.[!:]+)", filepattern): format_dict = dict break # remove unused wildcards to avoid duplicate filepatterns wildcards = { filepattern: { k: v for k, v in wildcards.items() if k in re.findall(r"{([^}\.[!:]+)", filepattern) } for filepattern in filepatterns } def flatten(wildcards): for wildcard, values in wildcards.items(): if isinstance(values, str) or not isinstance( values, collections.abc.Iterable ): values = [values] yield [(wildcard, value) for value in values] formatter = string.Formatter() try: return [ formatter.vformat(filepattern, (), comb) for filepattern in filepatterns for comb in map(format_dict, combinator(*flatten(wildcards[filepattern]))) ] except KeyError as e: raise WildcardError("No values given for wildcard {}.".format(e)) def multiext(prefix, *extensions): """Expand a given prefix with multiple extensions (e.g. .txt, .csv, _peaks.bed, ...).""" if any((r"/" in ext or r"\\" in ext) for ext in extensions): raise WorkflowError( r"Extensions for multiext may not contain path delimiters " r"(/,\)." ) return [flag(prefix + ext, "multiext", flag_value=prefix) for ext in extensions] def limit(pattern, **wildcards): """ Limit wildcards to the given values. Arguments: **wildcards -- the wildcards as keyword arguments with their values as lists """ return pattern.format( **{ wildcard: "{{{},{}}}".format(wildcard, "|".join(values)) for wildcard, values in wildcards.items() } ) def glob_wildcards(pattern, files=None, followlinks=False): """ Glob the values of the wildcards by matching the given pattern to the filesystem. Returns a named tuple with a list of values for each wildcard. """ pattern = os.path.normpath(pattern) first_wildcard = re.search("{[^{]", pattern) dirname = ( os.path.dirname(pattern[: first_wildcard.start()]) if first_wildcard else os.path.dirname(pattern) ) if not dirname: dirname = "." names = [match.group("name") for match in _wildcard_regex.finditer(pattern)] Wildcards = collections.namedtuple("Wildcards", names) wildcards = Wildcards(*[list() for name in names]) pattern = re.compile(regex(pattern)) if files is None: files = ( os.path.normpath(os.path.join(dirpath, f)) for dirpath, dirnames, filenames in os.walk( dirname, followlinks=followlinks ) for f in chain(filenames, dirnames) ) for f in files: match = re.match(pattern, f) if match: for name, value in match.groupdict().items(): getattr(wildcards, name).append(value) return wildcards def update_wildcard_constraints( pattern, wildcard_constraints, global_wildcard_constraints ): """Update wildcard constraints Args: pattern (str): pattern on which to update constraints wildcard_constraints (dict): dictionary of wildcard:constraint key-value pairs global_wildcard_constraints (dict): dictionary of wildcard:constraint key-value pairs """ def replace_constraint(match): name = match.group("name") constraint = match.group("constraint") newconstraint = wildcard_constraints.get( name, global_wildcard_constraints.get(name) ) if name in examined_names: return match.group(0) examined_names.add(name) # Don't override if constraint already set if constraint is not None: return match.group(0) # Only update if a new constraint has actually been set elif newconstraint is not None: return "{{{},{}}}".format(name, newconstraint) else: return match.group(0) examined_names = set() updated = _wildcard_regex.sub(replace_constraint, pattern) # inherit flags if isinstance(pattern, AnnotatedString): updated = AnnotatedString(updated) updated.flags = dict(pattern.flags) return updated def split_git_path(path): file_sub = re.sub(r"^git\+file:/+", "/", path) (file_path, version) = file_sub.split("@") file_path = os.path.realpath(file_path) root_path = get_git_root(file_path) if file_path.startswith(root_path): file_path = file_path[len(root_path) :].lstrip("/") return (root_path, file_path, version) def get_git_root(path): """ Args: path: (str) Path a to a directory/file that is located inside the repo Returns: path to the root folder for git repo """ import git try: git_repo = git.Repo(path, search_parent_directories=True) return git_repo.git.rev_parse("--show-toplevel") except git.exc.NoSuchPathError: tail, head = os.path.split(path) return get_git_root_parent_directory(tail, path) def get_git_root_parent_directory(path, input_path): """ This function will recursively go through parent directories until a git repository is found or until no parent directories are left, in which case an error will be raised. This is needed when providing a path to a file/folder that is located on a branch/tag not currently checked out. Args: path: (str) Path a to a directory that is located inside the repo input_path: (str) origin path, used when raising WorkflowError Returns: path to the root folder for git repo """ import git try: git_repo = git.Repo(path, search_parent_directories=True) return git_repo.git.rev_parse("--show-toplevel") except git.exc.NoSuchPathError: tail, head = os.path.split(path) if tail is None: raise WorkflowError( "Neither provided git path ({}) ".format(input_path) + "or parent directories contain a valid git repo." ) else: return get_git_root_parent_directory(tail, input_path) def git_content(git_file): """ This function will extract a file from a git repository, one located on the filesystem. The expected format is git+file:///path/to/your/repo/path_to_file@version Args: env_file (str): consist of path to repo, @, version, and file information Ex: git+file:///home/smeds/snakemake-wrappers/bio/fastqc/wrapper.py@0.19.3 Returns: file content or None if the expected format isn't meet """ import git if git_file.startswith("git+file:"): (root_path, file_path, version) = split_git_path(git_file) return git.Repo(root_path).git.show("{}:{}".format(version, file_path)) else: raise WorkflowError( "Provided git path ({}) doesn't meet the " "expected format:".format(git_file) + ", expected format is " "git+file://PATH_TO_REPO/PATH_TO_FILE_INSIDE_REPO@VERSION" ) def strip_wildcard_constraints(pattern): """Return a string that does not contain any wildcard constraints.""" def strip_constraint(match): return "{{{}}}".format(match.group("name")) return _wildcard_regex.sub(strip_constraint, pattern) class Namedlist(list): """ A list that additionally provides functions to name items. Further, it is hashable, however, the hash does not consider the item names. """ def __init__( self, toclone=None, fromdict=None, plainstr=False, strip_constraints=False, custom_map=None, ): """ Create the object. Arguments toclone -- another Namedlist that shall be cloned fromdict -- a dict that shall be converted to a Namedlist (keys become names) """ list.__init__(self) self._names = dict() # white-list of attribute names that can be overridden in _set_name # default to throwing exception if called to prevent use as functions self._allowed_overrides = ["index", "sort"] for name in self._allowed_overrides: setattr(self, name, functools.partial(self._used_attribute, _name=name)) if toclone: if custom_map is not None: self.extend(map(custom_map, toclone)) elif plainstr: self.extend(map(str, toclone)) elif strip_constraints: self.extend(map(strip_wildcard_constraints, toclone)) else: self.extend(toclone) if isinstance(toclone, Namedlist): self._take_names(toclone._get_names()) if fromdict: for key, item in fromdict.items(): self.append(item) self._add_name(key) @staticmethod def _used_attribute(*args, _name, **kwargs): """ Generic function that throws an `AttributeError`. Used as replacement for functions such as `index()` and `sort()`, which may be overridden by workflows, to signal to a user that these functions should not be used. """ raise AttributeError( "{_name}() cannot be used; attribute name reserved" " for use in some existing workflows".format(_name=_name) ) def _add_name(self, name): """ Add a name to the last item. Arguments name -- a name """ self._set_name(name, len(self) - 1) def _set_name(self, name, index, end=None): """ Set the name of an item. Arguments name -- a name index -- the item index """ if name not in self._allowed_overrides and hasattr(self.__class__, name): raise AttributeError( "invalid name for input, output, wildcard, " "params or log: {name} is reserved for internal use".format(name=name) ) self._names[name] = (index, end) if end is None: setattr(self, name, self[index]) else: setattr(self, name, Namedlist(toclone=self[index:end])) def _get_names(self): """ Get the defined names as (name, index) pairs. """ for name, index in self._names.items(): yield name, index def _take_names(self, names): """ Take over the given names. Arguments names -- the given names as (name, index) pairs """ for name, (i, j) in names: self._set_name(name, i, end=j) def items(self): for name in self._names: yield name, getattr(self, name) def _allitems(self): next = 0 for name, index in sorted( self._names.items(), key=lambda item: ( item[1][0], item[1][0] + 1 if item[1][1] is None else item[1][1], ), ): start, end = index if end is None: end = start + 1 if start > next: for item in self[next:start]: yield None, item yield name, getattr(self, name) next = end for item in self[next:]: yield None, item def _insert_items(self, index, items): self[index : index + 1] = items add = len(items) - 1 for name, (i, j) in self._names.items(): if i > index: self._names[name] = (i + add, None if j is None else j + add) elif i == index: self._set_name(name, i, end=i + len(items)) def keys(self): return self._names.keys() def _plainstrings(self): return self.__class__.__call__(toclone=self, plainstr=True) def _stripped_constraints(self): return self.__class__.__call__(toclone=self, strip_constraints=True) def _clone(self): return self.__class__.__call__(toclone=self) def get(self, key, default_value=None): return self.__dict__.get(key, default_value) def __getitem__(self, key): try: return super().__getitem__(key) except TypeError: pass return getattr(self, key) def __hash__(self): return hash(tuple(self)) def __str__(self): return " ".join(map(str, self)) class InputFiles(Namedlist): @property def size(self): return sum(f.size for f in self) @property def size_mb(self): return self.size / 1024 / 1024 class OutputFiles(Namedlist): pass class Wildcards(Namedlist): pass class Params(Namedlist): pass class Resources(Namedlist): pass class Log(Namedlist): pass def _load_configfile(configpath_or_obj, filetype="Config"): "Tries to load a configfile first as JSON, then as YAML, into a dict." import yaml if isinstance(configpath_or_obj, str) or isinstance(configpath_or_obj, Path): obj = open(configpath_or_obj, encoding="utf-8") else: obj = configpath_or_obj try: with obj as f: try: return json.load(f, object_pairs_hook=collections.OrderedDict) except ValueError: f.seek(0) # try again try: # From https://stackoverflow.com/a/21912744/84349 class OrderedLoader(yaml.Loader): pass def construct_mapping(loader, node): loader.flatten_mapping(node) return collections.OrderedDict(loader.construct_pairs(node)) OrderedLoader.add_constructor( yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, construct_mapping ) return yaml.load(f, Loader=OrderedLoader) except yaml.YAMLError: raise WorkflowError( "Config file is not valid JSON or YAML. " "In case of YAML, make sure to not mix " "whitespace and tab indentation.".format(filetype) ) except FileNotFoundError: raise WorkflowError("{} file {} not found.".format(filetype, configpath)) def load_configfile(configpath): "Loads a JSON or YAML configfile as a dict, then checks that it's a dict." config = _load_configfile(configpath) if not isinstance(config, dict): raise WorkflowError( "Config file must be given as JSON or YAML " "with keys at top level." ) return config ##### Wildcard pumping detection ##### class PeriodicityDetector: def __init__(self, min_repeat=20, max_repeat=100): """ Args: max_repeat (int): The maximum length of the periodic substring. min_repeat (int): The minimum length of the periodic substring. """ self.min_repeat = min_repeat self.regex = re.compile( "((?P.+)(?P=value){{{min_repeat},{max_repeat}}})$".format( min_repeat=min_repeat - 1, max_repeat=max_repeat - 1 ) ) def is_periodic(self, value): """Returns the periodic substring or None if not periodic.""" # short-circuit: need at least min_repeat characters if len(value) < self.min_repeat: return None # short-circuit: need at least min_repeat same characters last_letter = value[-1] counter = collections.Counter(value) if counter[last_letter] < self.min_repeat: return None # short-circuit: need at least min_repeat same characters pos = 2 while ( value[-pos] != last_letter ): # as long as last letter is not seen, repeat length is minimally pos if ( len(value) < (pos * self.min_repeat) or counter[value[-pos]] < self.min_repeat ): return None pos += 1 # now do the expensive regex m = self.regex.search(value) # search for a periodic suffix. if m is not None: return m.group("value") snakemake-6.15.1/snakemake/jobs.py000066400000000000000000001425521417574166400170410ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import sys import base64 import tempfile import json import shutil from collections import defaultdict from itertools import chain, filterfalse from operator import attrgetter from snakemake.io import ( IOFile, Wildcards, Resources, _IOFile, is_flagged, get_flag_value, ) from snakemake.utils import format, listfiles from snakemake.exceptions import RuleException, ProtectedOutputException, WorkflowError from snakemake.logging import logger from snakemake.common import ( DYNAMIC_FILL, is_local_file, parse_uri, lazy_property, get_uuid, TBDString, ) def format_files(job, io, dynamicio): for f in io: if f in dynamicio: yield "{} (dynamic)".format(f.format_dynamic()) elif is_flagged(f, "pipe"): yield "{} (pipe)".format(f) elif is_flagged(f, "checkpoint_target"): yield TBDString() else: yield f def jobfiles(jobs, type): return chain(*map(attrgetter(type), jobs)) class AbstractJob: def is_group(self): raise NotImplementedError() def log_info(self, skip_dynamic=False): raise NotImplementedError() def log_error(self, msg=None, **kwargs): raise NotImplementedError() def remove_existing_output(self): raise NotImplementedError() def download_remote_input(self): raise NotImplementedError() def properties(self, omit_resources=["_cores", "_nodes"], **aux_properties): raise NotImplementedError() def reset_params_and_resources(self): raise NotImplementedError() class JobFactory: def __init__(self): self.cache = dict() def new( self, rule, dag, wildcards_dict=None, format_wildcards=None, targetfile=None, update=False, ): if rule.is_branched: # for distinguishing branched rules, we need input and output in addition key = ( rule.name, *rule.output, *rule.input, *sorted(wildcards_dict.items()), ) else: key = (rule.name, *sorted(wildcards_dict.items())) if update: # cache entry has to be replaced because job shall be constructed from scratch obj = Job(rule, dag, wildcards_dict, format_wildcards, targetfile) self.cache[key] = obj else: try: # try to get job from cache obj = self.cache[key] except KeyError: obj = Job(rule, dag, wildcards_dict, format_wildcards, targetfile) self.cache[key] = obj return obj class Job(AbstractJob): HIGHEST_PRIORITY = sys.maxsize obj_cache = dict() __slots__ = [ "rule", "dag", "wildcards_dict", "wildcards", "_format_wildcards", "input", "dependencies", "output", "_params", "_log", "_benchmark", "_resources", "_conda_env_file", "_conda_env", "shadow_dir", "_inputsize", "dynamic_output", "dynamic_input", "temp_output", "protected_output", "touch_output", "subworkflow_input", "_hash", "_attempt", "_group", "targetfile", ] def __init__( self, rule, dag, wildcards_dict=None, format_wildcards=None, targetfile=None ): self.rule = rule self.dag = dag # the targetfile that led to the job # it is important to record this, since we need it to submit the # job on a cluster. In contrast, an arbitrary targetfile could # lead to a different composition of wildcard values (in case of # ambiguity in matching). self.targetfile = targetfile self.wildcards_dict = wildcards_dict self.wildcards = Wildcards(fromdict=self.wildcards_dict) self._format_wildcards = ( self.wildcards if format_wildcards is None else Wildcards(fromdict=format_wildcards) ) self.input, input_mapping, self.dependencies = self.rule.expand_input( self.wildcards_dict ) self.output, output_mapping = self.rule.expand_output(self.wildcards_dict) # other properties are lazy to be able to use additional parameters and check already existing files self._params = None self._log = None self._benchmark = None self._resources = None self._conda_env_spec = None self._conda_env = None self._group = None self.shadow_dir = None self._inputsize = None self.is_updated = False self._attempt = self.dag.workflow.attempt # TODO get rid of these self.pipe_output = set(f for f in self.output if is_flagged(f, "pipe")) self.dynamic_output, self.dynamic_input = set(), set() self.temp_output, self.protected_output = set(), set() self.touch_output = set() self.subworkflow_input = dict() for f in self.output: f_ = output_mapping[f] if f_ in self.rule.dynamic_output: self.dynamic_output.add(f) if f_ in self.rule.temp_output: self.temp_output.add(f) if f_ in self.rule.protected_output: self.protected_output.add(f) if f_ in self.rule.touch_output: self.touch_output.add(f) for f in self.input: f_ = input_mapping[f] if f_ in self.rule.dynamic_input: self.dynamic_input.add(f) if f_ in self.rule.subworkflow_input: self.subworkflow_input[f] = self.rule.subworkflow_input[f_] elif "subworkflow" in f.flags: sub = f.flags["subworkflow"] if f in self.subworkflow_input: other = self.subworkflow_input[f] if sub != other: raise WorkflowError( "The input file {} is ambiguously " "associated with two subworkflows {} " "and {}.".format(f, sub, other), rule=self.rule, ) self.subworkflow_input[f] = sub def updated(self): job = self.dag.job_factory.new( self.rule, self.dag, wildcards_dict=self.wildcards_dict, targetfile=self.targetfile, update=True, ) job.is_updated = True return job def is_valid(self): """Check if job is valid""" # these properties have to work in dry-run as well. Hence we check them here: self.rule.expand_benchmark(self.wildcards_dict) self.rule.expand_log(self.wildcards_dict) def outputs_older_than_script_or_notebook(self): """return output that's older than script, i.e. script has changed""" path = self.rule.script or self.rule.notebook if not path: return if self.rule.basedir: # needed if rule is included from another subdirectory path = self.rule.basedir.join(path).get_path_or_uri() if is_local_file(path): assert os.path.exists(path), "cannot find {0}".format(path) script_mtime = os.lstat(path).st_mtime for f in self.expanded_output: if f.exists: if not f.is_newer(script_mtime): yield f # TODO also handle remote file case here. @property def threads(self): return self.resources._cores @property def params(self): if self._params is None: self._params = self.rule.expand_params( self.wildcards_dict, self.input, self.output, self.resources ) return self._params @property def log(self): if self._log is None: self._log = self.rule.expand_log(self.wildcards_dict) return self._log @property def benchmark(self): if self._benchmark is None: self._benchmark = self.rule.expand_benchmark(self.wildcards_dict) return self._benchmark @property def benchmark_repeats(self): if self.benchmark is not None: return get_flag_value(self.benchmark, "repeat") or 1 @property def group(self): if self._group is None: self._group = self.rule.expand_group(self.wildcards_dict) return self._group @group.setter def group(self, group): self._group = group @property def attempt(self): return self._attempt @attempt.setter def attempt(self, attempt): # reset resources self._resources = None self._attempt = attempt @property def resources(self): if self._resources is None: self._resources = self.rule.expand_resources( self.wildcards_dict, self.input, self.attempt ) return self._resources def reset_params_and_resources(self): self._resources = None self._params = None @property def conda_env_spec(self): if self._conda_env_spec is None: self._conda_env_spec = self.rule.expand_conda_env(self.wildcards_dict) return self._conda_env_spec @property def conda_env(self): if self.conda_env_spec: if self._conda_env is None: self._conda_env = self.dag.conda_envs.get( (self.conda_env_spec, self.container_img_url) ) return self._conda_env return None def archive_conda_env(self): """Archive a conda environment into a custom local channel.""" if self.conda_env_spec: if self.conda_env.is_named: raise WorkflowError( "Workflow archives cannot be created for workflows using named conda environments." "Please use paths to YAML files for all your conda directives.", rule=self.rule, ) return self.conda_env.create_archive() return None @property def needs_singularity(self): return self.container_img is not None @property def container_img_url(self): return self.rule.container_img @property def is_containerized(self): return self.rule.is_containerized @property def container_img(self): if self.dag.workflow.use_singularity and self.container_img_url: return self.dag.container_imgs[self.container_img_url] return None @property def env_modules(self): return self.rule.env_modules @property def container_img_path(self): return self.container_img.path if self.container_img else None @property def is_shadow(self): return self.rule.shadow_depth is not None @property def priority(self): return self.dag.priority(self) @property def b64id(self): return base64.b64encode( (self.rule.name + "".join(self.output)).encode("utf-8") ).decode("utf-8") @property def inputsize(self): """ Return the size of the input files. Input files need to be present. """ if self._inputsize is None: self._inputsize = sum(f.size for f in self.input) return self._inputsize @property def message(self): """Return the message for this job.""" try: return ( self.format_wildcards(self.rule.message) if self.rule.message else None ) except AttributeError as ex: raise RuleException(str(ex), rule=self.rule) except KeyError as ex: raise RuleException( "Unknown variable in message " "of shell command: {}".format(str(ex)), rule=self.rule, ) @property def shellcmd(self): """Return the shell command.""" try: return ( self.format_wildcards(self.rule.shellcmd) if self.rule.shellcmd else None ) except AttributeError as ex: raise RuleException(str(ex), rule=self.rule) except KeyError as ex: raise RuleException( "Unknown variable when printing " "shell command: {}".format(str(ex)), rule=self.rule, ) @property def is_shell(self): return self.rule.shellcmd is not None @property def is_norun(self): return self.rule.norun @property def is_script(self): return self.rule.script is not None @property def is_notebook(self): return self.rule.notebook is not None @property def is_wrapper(self): return self.rule.wrapper is not None @property def is_cwl(self): return self.rule.cwl is not None @property def is_run(self): return not ( self.is_shell or self.is_norun or self.is_script or self.is_notebook or self.is_wrapper or self.is_cwl ) @property def is_pipe(self): return any([is_flagged(o, "pipe") for o in self.output]) @property def expanded_output(self): """Iterate over output files while dynamic output is expanded.""" for f, f_ in zip(self.output, self.rule.output): if f in self.dynamic_output: expansion = self.expand_dynamic(f_) if not expansion: yield f_ for f, _ in expansion: file_to_yield = IOFile(f, self.rule) file_to_yield.clone_flags(f_) yield file_to_yield else: yield f def shadowed_path(self, f): """Get the shadowed path of IOFile f.""" if not self.shadow_dir: return f f_ = IOFile(os.path.join(self.shadow_dir, f), self.rule) f_.clone_flags(f) return f_ @property def dynamic_wildcards(self): """Return all wildcard values determined from dynamic output.""" combinations = set() for f, f_ in zip(self.output, self.rule.output): if f in self.dynamic_output: for f, w in self.expand_dynamic(f_): combinations.add(tuple(w.items())) wildcards = defaultdict(list) for combination in combinations: for name, value in combination: wildcards[name].append(value) return wildcards @property def missing_input(self): """Return missing input files.""" # omit file if it comes from a subworkflow return set( f for f in self.input if not f.exists and not f in self.subworkflow_input ) @property def existing_remote_input(self): files = set() for f in self.input: if f.is_remote: if f.exists_remote: files.add(f) return files @property def existing_remote_output(self): files = set() for f in self.remote_output: if f.exists_remote: files.add(f) return files @property def missing_remote_input(self): return self.remote_input - self.existing_remote_input @property def missing_remote_output(self): return self.remote_output - self.existing_remote_output @property def output_mintime(self): """Return oldest output file.""" try: mintime = min( f.mtime.local_or_remote() for f in self.expanded_output if f.exists ) except ValueError: # no existing output mintime = None if self.benchmark and self.benchmark.exists: mintime_benchmark = self.benchmark.mtime.local_or_remote() if mintime is not None: return min(mintime, mintime_benchmark) else: return mintime_benchmark return mintime def missing_output(self, requested): def handle_file(f): # pipe output is always declared as missing # (even if it might be present on disk for some reason) if f in self.pipe_output or not f.exists: yield f if self.dynamic_output: for f, f_ in zip(self.output, self.rule.output): if f in requested: if f in self.dynamic_output: if not self.expand_dynamic(f_): yield "{} (dynamic)".format(f_) else: yield from handle_file(f) else: for f in requested: yield from handle_file(f) @property def local_input(self): for f in self.input: if not f.is_remote: yield f @property def unique_input(self): seen = set() for element in filterfalse(seen.__contains__, self.input): seen.add(element) yield element @property def local_output(self): for f in self.output: if not f.is_remote: yield f @property def remote_input(self): for f in self.input: if f.is_remote: yield f @property def remote_output(self): for f in self.output: if f.is_remote: yield f @property def remote_input_newer_than_local(self): files = set() for f in self.remote_input: if (f.exists_remote and f.exists_local) and ( f.mtime.remote() > f.mtime.local(follow_symlinks=True) ): files.add(f) return files @property def remote_input_older_than_local(self): files = set() for f in self.remote_input: if (f.exists_remote and f.exists_local) and ( f.mtime.remote() < f.mtime.local(follow_symlinks=True) ): files.add(f) return files @property def remote_output_newer_than_local(self): files = set() for f in self.remote_output: if (f.exists_remote and f.exists_local) and ( f.mtime.remote() > f.mtime.local(follow_symlinks=True) ): files.add(f) return files @property def remote_output_older_than_local(self): files = set() for f in self.remote_output: if (f.exists_remote and f.exists_local) and ( f.mtime.remote() < f.mtime.local(follow_symlinks=True) ): files.add(f) return files @property def files_to_download(self): toDownload = set() for f in self.input: if f.is_remote: if (not f.exists_local and f.exists_remote) and ( not self.rule.norun or f.remote_object.keep_local ): toDownload.add(f) toDownload = toDownload | self.remote_input_newer_than_local return toDownload @property def files_to_upload(self): return self.missing_remote_input & self.remote_input_older_than_local @property def existing_output(self): return filter(lambda f: f.exists, self.expanded_output) def check_protected_output(self): protected = list(filter(lambda f: f.protected, self.expanded_output)) if protected: raise ProtectedOutputException(self.rule, protected) def remove_existing_output(self): """Clean up both dynamic and regular output before rules actually run""" if self.dynamic_output: for f, _ in chain(*map(self.expand_dynamic, self.rule.dynamic_output)): os.remove(f) for f, f_ in zip(self.output, self.rule.output): try: # remove_non_empty_dir only applies to directories which aren't # flagged with directory(). f.remove(remove_non_empty_dir=False) except FileNotFoundError: # No file == no problem pass for f in self.log: f.remove(remove_non_empty_dir=False) def download_remote_input(self): for f in self.files_to_download: f.download_from_remote() def prepare(self): """ Prepare execution of job. This includes creation of directories and deletion of previously created dynamic files. Creates a shadow directory for the job if specified. """ self.check_protected_output() unexpected_output = self.dag.reason(self).missing_output.intersection( self.existing_output ) if unexpected_output: logger.warning( "Warning: the following output files of rule {} were not " "present when the DAG was created:\n{}".format( self.rule, unexpected_output ) ) self.remove_existing_output() # Create tmpdir if necessary if self.resources.get("tmpdir"): os.makedirs(self.resources.tmpdir, exist_ok=True) for f, f_ in zip(self.output, self.rule.output): f.prepare() self.download_remote_input() for f in self.log: f.prepare() if self.benchmark: self.benchmark.prepare() if not self.is_shadow: return # Create shadow directory structure self.shadow_dir = tempfile.mkdtemp( dir=self.rule.workflow.persistence.shadow_path ) cwd = os.getcwd() # "minimal" creates symlinks only to the input files in the shadow directory # "copy-minimal" creates copies instead if ( self.rule.shadow_depth == "minimal" or self.rule.shadow_depth == "copy-minimal" ): # Re-create the directory structure in the shadow directory for (f, d) in set( [ (item, os.path.dirname(item)) for sublist in [self.input, self.output, self.log] if sublist is not None for item in sublist ] ): if d and not os.path.isabs(d): rel_path = os.path.relpath(d) # Only create subdirectories if not rel_path.split(os.path.sep)[0] == "..": os.makedirs( os.path.join(self.shadow_dir, rel_path), exist_ok=True ) else: raise RuleException( "The following file name references a parent directory relative to your workdir.\n" 'This isn\'t supported for shadow: "{}". Consider using an absolute path instead.\n{}'.format( f, self.rule.shadow_depth ), rule=self.rule, ) # Symlink or copy the input files if self.rule.shadow_depth == "copy-minimal": for rel_path in set( [os.path.relpath(f) for f in self.input if not os.path.isabs(f)] ): copy = os.path.join(self.shadow_dir, rel_path) shutil.copy(rel_path, copy) else: for rel_path in set( [os.path.relpath(f) for f in self.input if not os.path.isabs(f)] ): link = os.path.join(self.shadow_dir, rel_path) original = os.path.relpath(rel_path, os.path.dirname(link)) os.symlink(original, link) # Shallow simply symlink everything in the working directory. elif self.rule.shadow_depth == "shallow": for source in os.listdir(cwd): link = os.path.join(self.shadow_dir, source) os.symlink(os.path.abspath(source), link) elif self.rule.shadow_depth == "full": snakemake_dir = os.path.join(cwd, ".snakemake") for dirpath, dirnames, filenames in os.walk(cwd): # Must exclude .snakemake and its children to avoid infinite # loop of symlinks. if os.path.commonprefix([snakemake_dir, dirpath]) == snakemake_dir: continue for dirname in dirnames: if dirname == ".snakemake": continue relative_source = os.path.relpath(os.path.join(dirpath, dirname)) shadow = os.path.join(self.shadow_dir, relative_source) os.mkdir(shadow) for filename in filenames: source = os.path.join(dirpath, filename) relative_source = os.path.relpath(source) link = os.path.join(self.shadow_dir, relative_source) os.symlink(source, link) def close_remote(self): for f in self.input + self.output: if f.is_remote: f.remote_object.close() def cleanup(self): """Cleanup output files.""" to_remove = [f for f in self.expanded_output if f.exists] to_remove.extend( [ f for f in self.remote_output if ( f.exists_remote if (f.is_remote and f.should_stay_on_remote) else f.exists_local ) ] ) if to_remove: logger.info( "Removing output files of failed job {}" " since they might be corrupted:\n{}".format(self, ", ".join(to_remove)) ) for f in to_remove: f.remove() def format_wildcards(self, string, **variables): """Format a string with variables from the job.""" _variables = dict() _variables.update(self.rule.workflow.globals) _variables.update( dict( input=self.input, output=self.output, params=self.params, wildcards=self._format_wildcards, threads=self.threads, resources=self.resources, log=self.log, jobid=self.jobid, version=self.rule.version, name=self.name, rule=self.rule.name, rulename=self.rule.name, bench_iteration=None, ) ) _variables.update(variables) try: return format(string, **_variables) except NameError as ex: raise RuleException("NameError: " + str(ex), rule=self.rule) except IndexError as ex: raise RuleException("IndexError: " + str(ex), rule=self.rule) def properties(self, omit_resources=["_cores", "_nodes"], **aux_properties): resources = { name: res for name, res in self.resources.items() if name not in omit_resources } params = {name: value for name, value in self.params.items()} properties = { "type": "single", "rule": self.rule.name, "local": self.is_local, "input": self.input, "output": self.output, "wildcards": self.wildcards_dict, "params": params, "log": self.log, "threads": self.threads, "resources": resources, "jobid": self.dag.jobid(self), } properties.update(aux_properties) try: return json.dumps(properties) except TypeError: del properties["params"] return json.dumps(properties) @property def is_local(self): return self.dag.workflow.is_local(self.rule) def __repr__(self): return self.rule.name def __lt__(self, other): return self.rule.__lt__(other.rule) def __gt__(self, other): return self.rule.__gt__(other.rule) def expand_dynamic(self, pattern): """Expand dynamic files.""" return list( listfiles(pattern, restriction=self.wildcards, omit_value=DYNAMIC_FILL) ) def is_group(self): return False def log_info(self, skip_dynamic=False, indent=False, printshellcmd=True): # skip dynamic jobs that will be "executed" only in dryrun mode if skip_dynamic and self.dag.dynamic(self): return priority = self.priority logger.job_info( jobid=self.dag.jobid(self), msg=self.message, name=self.rule.name, local=self.dag.workflow.is_local(self.rule), input=list(format_files(self, self.input, self.dynamic_input)), output=list(format_files(self, self.output, self.dynamic_output)), log=list(self.log), benchmark=self.benchmark, wildcards=self.wildcards_dict, reason=str(self.dag.reason(self)), resources=self.resources, priority="highest" if priority == Job.HIGHEST_PRIORITY else priority, threads=self.threads, indent=indent, is_checkpoint=self.rule.is_checkpoint, printshellcmd=printshellcmd, is_handover=self.rule.is_handover, ) logger.shellcmd(self.shellcmd, indent=indent) if self.dynamic_output: logger.info( "Subsequent jobs will be added dynamically " "depending on the output of this job", indent=True, ) def log_error(self, msg=None, indent=False, **kwargs): logger.job_error( name=self.rule.name, jobid=self.dag.jobid(self), output=list(format_files(self, self.output, self.dynamic_output)), log=list(self.log), conda_env=self.conda_env.address if self.conda_env else None, aux=kwargs, indent=indent, shellcmd=self.shellcmd, ) if msg is not None: logger.error(msg) def register(self): self.dag.workflow.persistence.started(self) def get_wait_for_files(self): wait_for_files = [] wait_for_files.extend(self.local_input) wait_for_files.extend( f for f in self.remote_input if not f.should_stay_on_remote ) if self.shadow_dir: wait_for_files.append(self.shadow_dir) if ( self.dag.workflow.use_conda and self.conda_env and not self.conda_env.is_named ): wait_for_files.append(self.conda_env.address) return wait_for_files @property def jobid(self): return self.dag.jobid(self) def postprocess( self, upload_remote=True, handle_log=True, handle_touch=True, handle_temp=True, error=False, ignore_missing_output=False, assume_shared_fs=True, latency_wait=None, keep_metadata=True, ): if self.dag.is_edit_notebook_job(self): # No postprocessing necessary, we have just created the skeleton notebook and # execution will anyway stop afterwards. return if assume_shared_fs: if not error and handle_touch: self.dag.handle_touch(self) if handle_log: self.dag.handle_log(self) if not error: self.dag.check_and_touch_output( self, wait=latency_wait, ignore_missing_output=ignore_missing_output ) self.dag.unshadow_output(self, only_log=error) if not error: self.dag.handle_remote(self, upload=upload_remote) self.dag.handle_protected(self) self.close_remote() else: if not error: self.dag.check_and_touch_output( self, wait=latency_wait, no_touch=True, force_stay_on_remote=True ) if not error: try: self.dag.workflow.persistence.finished( self, keep_metadata=keep_metadata ) except IOError as e: raise WorkflowError( "Error recording metadata for finished job " "({}). Please ensure write permissions for the " "directory {}".format(e, self.dag.workflow.persistence.path) ) if handle_temp: # temp handling has to happen after calling finished(), # because we need to access temp output files to record # start and end times. self.dag.handle_temp(self) @property def name(self): return self.rule.name @property def priority(self): return self.dag.priority(self) @property def products(self): products = list(self.output) if self.benchmark: products.append(self.benchmark) products.extend(self.log) return products def get_targets(self): return self.targetfile or [self.rule.name] @property def is_branched(self): return self.rule.is_branched @property def rules(self): return [self.rule.name] @property def restart_times(self): return self.rule.restart_times @property def is_checkpoint(self): return self.rule.is_checkpoint def __len__(self): return 1 class GroupJobFactory: def __init__(self): self.cache = dict() def new(self, id, jobs): jobs = frozenset(jobs) key = (id, jobs) try: obj = self.cache[key] except KeyError: obj = GroupJob(id, jobs) self.cache[key] = obj return obj class GroupJob(AbstractJob): obj_cache = dict() __slots__ = [ "groupid", "jobs", "_resources", "_input", "_output", "_log", "_inputsize", "_all_products", "_attempt", "toposorted", ] def __init__(self, id, jobs): self.groupid = id self.jobs = jobs self.toposorted = None self._resources = None self._input = None self._output = None self._log = None self._inputsize = None self._all_products = None self._attempt = self.dag.workflow.attempt @property def dag(self): return next(iter(self.jobs)).dag def merge(self, other): assert other.groupid == self.groupid self.jobs = self.jobs | other.jobs def finalize(self): from toposort import toposort if self.toposorted is None: def get_dependencies(job): for dep, files in self.dag.dependencies[job].items(): if dep in self.jobs: yield dep if any(is_flagged(f, "pipe") for f in files): # In case of a pipe, inherit the dependencies of the producer, # such that the two jobs end up on the same toposort level. # This is important because they are executed simulataneously. yield from get_dependencies(dep) dag = {job: set(get_dependencies(job)) for job in self.jobs} self.toposorted = list(toposort(dag)) @property def all_products(self): if self._all_products is None: self._all_products = set(f for job in self.jobs for f in job.products) return self._all_products def __iter__(self): if self.toposorted is None: yield from self.jobs else: yield from chain.from_iterable(self.toposorted) def __repr__(self): return "JobGroup({},{})".format(self.groupid, repr(self.jobs)) def __contains__(self, job): return job in self.jobs def is_group(self): return True @property def is_checkpoint(self): return any(job.is_checkpoint for job in self.jobs) @property def is_updated(self): return any(job.is_updated for job in self.jobs) def log_info(self, skip_dynamic=False): logger.group_info(groupid=self.groupid) for job in sorted(self.jobs, key=lambda j: j.rule.name): job.log_info(skip_dynamic, indent=True) def log_error(self, msg=None, **kwargs): logger.group_error(groupid=self.groupid) for job in self.jobs: job.log_error(msg=msg, indent=True, **kwargs) def register(self): for job in self.jobs: job.register() def remove_existing_output(self): for job in self.jobs: job.remove_existing_output() def reset_params_and_resources(self): for job in self.jobs: job.reset_params_and_resources() def download_remote_input(self): for job in self.jobs: job.download_remote_input() def get_wait_for_files(self): local_input = [ f for job in self.jobs for f in job.local_input if f not in self.all_products ] remote_input = [ f for job in self.jobs for f in job.remote_input if f not in self.all_products ] wait_for_files = [] wait_for_files.extend(local_input) wait_for_files.extend(f for f in remote_input if not f.should_stay_on_remote) for job in self.jobs: if job.shadow_dir: wait_for_files.append(job.shadow_dir) if ( self.dag.workflow.use_conda and job.conda_env and not job.conda_env.is_named ): wait_for_files.append(job.conda_env.address) return wait_for_files @property def resources(self): if self._resources is None: def check_string_resource(res, value1, value2): if value1 != value2: raise WorkflowError( "Failed to group jobs together. Resource {} " "is a string but not all group jobs require the same value. " "Observed: {} != {}.".format(res, value1, value2) ) self._resources = defaultdict(int) self._resources["_nodes"] = 1 pipe_group = any([job.is_pipe for job in self.jobs]) # iterate over siblings that can be executed in parallel for siblings in self.toposorted: sibling_resources = defaultdict(int) for job in siblings: try: job_resources = job.resources except FileNotFoundError: # Skip job if resource evaluation leads to a file not found error. # This will be caused by an inner job, which needs files created by the same group. # All we can do is to ignore such jobs for now. continue for res, value in job_resources.items(): if isinstance(value, int): if res != "_nodes": sibling_resources[res] += value elif isinstance(value, TBDString): # we omit TBDs continue else: # all string resources must be the same for all group jobs if res in sibling_resources: check_string_resource( res, sibling_resources[res], value ) else: sibling_resources[res] = value for res, value in sibling_resources.items(): if isinstance(value, int): if res != "_nodes": if self.dag.workflow.run_local or pipe_group: # in case of local execution, this must be a # group of jobs that are connected with pipes # and have to run simultaneously self._resources[res] += value else: # take the maximum with previous values self._resources[res] = max( self._resources.get(res, 0), value ) elif isinstance(value, TBDString): # we omit TBDs continue else: # all string resources must be the same for all group jobs if res in self._resources: check_string_resource(res, self._resources[res], value) else: self._resources[res] = value return Resources(fromdict=self._resources) @property def input(self): if self._input is None: self._input = [ f for job in self.jobs for f in job.input if f not in self.all_products ] return self._input @property def output(self): all_input = set(f for job in self.jobs for f in job.input) if self._output is None: self._output = [ f for job in self.jobs for f in job.output if f not in all_input ] return self._output @property def log(self): if self._log is None: self._log = [f for job in self.jobs for f in job.log] return self._log @property def products(self): all_input = set(f for job in self.jobs for f in job.input) return [f for job in self.jobs for f in job.products if f not in all_input] def properties(self, omit_resources=["_cores", "_nodes"], **aux_properties): resources = { name: res for name, res in self.resources.items() if name not in omit_resources } properties = { "type": "group", "groupid": self.groupid, "local": self.is_local, "input": self.input, "output": self.output, "threads": self.threads, "resources": resources, "jobid": self.jobid, } properties.update(aux_properties) return json.dumps(properties) @property def jobid(self): return str(get_uuid(",".join(str(job.jobid) for job in self.jobs))) def cleanup(self): for job in self.jobs: job.cleanup() def postprocess(self, error=False, **kwargs): for job in self.jobs: job.postprocess(handle_temp=False, error=error, **kwargs) # Handle temp after per-job postprocess. # This is necessary because group jobs are not topologically sorted, # and we might otherwise delete a temp input file before it has been # postprocessed by the outputting job in the same group. if not error: for job in self.jobs: self.dag.handle_temp(job) # remove all pipe outputs since all jobs of this group are done and the # pipes are no longer needed for job in self.jobs: for f in job.output: if is_flagged(f, "pipe"): f.remove() @property def name(self): return str(self.groupid) def check_protected_output(self): for job in self.jobs: job.check_protected_output() @property def dynamic_input(self): return [ f for job in self.jobs for f in job.dynamic_input if f not in self.all_products ] @property def inputsize(self): if self._inputsize is None: self._inputsize = sum(f.size for f in self.input) return self._inputsize @property def priority(self): return max(self.dag.priority(job) for job in self.jobs) @property def is_local(self): return all(job.is_local for job in self.jobs) def format_wildcards(self, string, **variables): """Format a string with variables from the job.""" _variables = dict() _variables.update(self.dag.workflow.globals) _variables.update( dict( input=self.input, output=self.output, threads=self.threads, jobid=self.jobid, name=self.name, rule="GROUP", rulename="GROUP", resources=self.resources, ) ) _variables.update(variables) try: return format(string, **_variables) except NameError as ex: raise WorkflowError( "NameError with group job {}: {}".format(self.jobid, str(ex)) ) except IndexError as ex: raise WorkflowError( "IndexError with group job {}: {}".format(self.jobid, str(ex)) ) @property def threads(self): return self.resources["_cores"] def get_targets(self): # jobs without output are targeted by rule name targets = [job.rule.name for job in self.jobs if not job.products] targets.extend(self.products) return targets @property def attempt(self): return self._attempt @attempt.setter def attempt(self, attempt): # reset resources self._resources = None self._attempt = attempt @property def is_branched(self): return any(job.is_branched for job in self.jobs) @property def needs_singularity(self): return any(job.needs_singularity for job in self.jobs) @property def rules(self): return [job.rule.name for job in self.jobs] @property def expanded_output(self): """Yields the entire expanded output of all jobs""" for job in self.jobs: yield from job.expanded_output @property def restart_times(self): return max(job.restart_times for job in self.jobs) def __len__(self): return len(self.jobs) def __hash__(self): return hash(self.jobs) def __eq__(self, other): if not isinstance(other, AbstractJob): return False if other.is_group(): return self.jobs == other.jobs else: return False class Reason: __slots__ = [ "_updated_input", "_updated_input_run", "_missing_output", "_incomplete_output", "forced", "noio", "nooutput", "derived", "pipe", "target", "finished", ] def __init__(self): self.finished = False self._updated_input = None self._updated_input_run = None self._missing_output = None self._incomplete_output = None self.forced = False self.noio = False self.nooutput = False self.derived = True self.pipe = False @lazy_property def updated_input(self): return set() @lazy_property def updated_input_run(self): return set() @lazy_property def missing_output(self): return set() @lazy_property def incomplete_output(self): return set() def mark_finished(self): "called if the job has been run" self.finished = True def __str__(self): s = list() if self.forced: s.append("Forced execution") else: if self.noio: s.append( "Rules with neither input nor " "output files are always executed." ) elif self.nooutput: s.append( "Rules with a run or shell declaration but no output " "are always executed." ) else: if self._missing_output: s.append( "Missing output files: {}".format( ", ".join(self.missing_output) ) ) if self._incomplete_output: s.append( "Incomplete output files: {}".format( ", ".join(self.incomplete_output) ) ) if self._updated_input: updated_input = self.updated_input - self.updated_input_run s.append("Updated input files: {}".format(", ".join(updated_input))) if self._updated_input_run: s.append( "Input files updated by another job: {}".format( ", ".join(self.updated_input_run) ) ) s = "; ".join(s) if self.finished: return "Finished (was: {s})".format(s=s) return s def __bool__(self): v = bool( self.updated_input or self.missing_output or self.forced or self.updated_input_run or self.noio or self.nooutput or self.pipe ) return v and not self.finished snakemake-6.15.1/snakemake/linting/000077500000000000000000000000001417574166400171655ustar00rootroot00000000000000snakemake-6.15.1/snakemake/linting/__init__.py000066400000000000000000000037761417574166400213130ustar00rootroot00000000000000import textwrap import shutil import inspect from abc import ABC, abstractmethod from snakemake.logging import logger NAME_PATTERN = "[a-zA-Z_][a-zA-Z_0-9]*" class Linter(ABC): def __init__(self, workflow, items): self.items = items self.workflow = workflow def read_item(self, item): return item def lint(self, json=False): json_lints = [] if json else None linted = False for item in self.items: item_lints = [ lint for lint_item in self.lints() for lint in lint_item(self.read_item(item)) ] if not item_lints: continue linted = True if json: json_lints.append( { "for": self.item_desc_json(item), "lints": [lint.__dict__ for lint in item_lints], } ) else: logger.warning( "Lints for {}:\n{}\n".format( self.item_desc_plain(item), "\n".join(map(" * {}".format, item_lints)), ) ) return json_lints, linted @abstractmethod def item_desc_json(self, item): pass @abstractmethod def item_desc_plain(self, item): pass def lints(self): return ( method for name, method in inspect.getmembers(self) if name.startswith("lint_") ) class Lint: def __init__(self, title, body, links=[]): self.title = title self.body = body self.links = links def __str__(self): width, _ = shutil.get_terminal_size() return "{}:\n{}\n Also see:\n{}".format( self.title, "\n".join( map(" {}".format, textwrap.wrap(self.body, max(width - 6, 20))) ), "\n".join(map(" {}".format, self.links)), ) snakemake-6.15.1/snakemake/linting/links.py000066400000000000000000000023561417574166400206650ustar00rootroot00000000000000package_management = "https://snakemake.readthedocs.io/en/latest/snakefiles/deployment.html#integrated-package-management" containers = "https://snakemake.readthedocs.io/en/latest/snakefiles/deployment.html#running-jobs-in-containers" rules = "https://snakemake.readthedocs.io/en/latest/snakefiles/rules.html#rules" external_scripts = ( "https://snakemake.readthedocs.io/en/latest/snakefiles/rules.html#external-scripts" ) notebooks = "https://snakemake.readthedocs.io/en/latest/snakefiles/rules.html#jupyter-notebook-integration" checkpoints = "https://snakemake.readthedocs.io/en/latest/snakefiles/rules.html#data-dependent-conditional-execution" params = "https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules" log = "https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#log-files" input_functions = "https://snakemake.readthedocs.io/en/stable/tutorial/advanced.html#tutorial-input-functions" envvars = "https://snakemake.readthedocs.io/en/latest/snakefiles/configuration.html#environment-variables" includes = ( "https://snakemake.readthedocs.io/en/latest/snakefiles/modularization.html#includes" ) config = "https://snakemake.readthedocs.io/en/latest/snakefiles/configuration.html#configuration" snakemake-6.15.1/snakemake/linting/rules.py000066400000000000000000000147661417574166400207070ustar00rootroot00000000000000from itertools import chain import re from snakemake.io import get_wildcard_names, is_flagged from snakemake.linting import Linter, Lint, links, NAME_PATTERN class RuleLinter(Linter): def item_desc_plain(self, rule): return "rule {} (line {}, {})".format(rule.name, rule.lineno, rule.snakefile) def item_desc_json(self, rule): return {"rule": rule.name, "line": rule.lineno, "snakefile": rule.snakefile} def lint_params_prefix(self, rule): for param, value in rule.params.items(): if ( isinstance(value, str) and value and any( f.startswith(value) for f in chain(rule.input, rule.output) if isinstance(f, str) ) ): yield Lint( title="Param {} is a prefix of input or output file but hardcoded".format( param ), body="If this is meant to represent a file path prefix, it will fail when running " "workflow in environments without a shared filesystem. " "Instead, provide a function that infers the appropriate prefix from the input or " "output file, e.g.: lambda w, input: os.path.splitext(input[0])[0]", links=[links.params, links.input_functions], ) def lint_log_directive(self, rule): if not rule.log and not rule.norun and not rule.is_handover: yield Lint( title="No log directive defined", body="Without a log directive, all output will be printed " "to the terminal. In distributed environments, this means " "that errors are harder to discover. In local environments, " "output of concurrent jobs will be mixed and become unreadable.", links=[links.log], ) def lint_not_used_params( self, rule, valid_names={ "input", "output", "log", "params", "wildcards", "threads", "resources", }, regex=re.compile("{{(?P{}).*?}}".format(NAME_PATTERN)), ): if rule.shellcmd: for match in regex.finditer(rule.shellcmd): name = match.group("name") before = match.start() - 1 after = match.end() if name not in valid_names and ( not (before >= 0 and after < len(rule.shellcmd)) or (rule.shellcmd[before] != "{" and rule.shellcmd[after] != "}") ): yield Lint( title="Shell command directly uses variable {} from outside of the rule".format( name ), body="It is recommended to pass all files as input and output, and non-file parameters " "via the params directive. Otherwise, provenance tracking is less accurate.", links=[links.params], ) def lint_version(self, rule): if rule.version: yield Lint( title="The version directive is deprecated", body="It was meant for documenting tool version, but this has been replaced " "by using the conda or container directive.", links=[links.package_management, links.containers], ) def lint_dynamic(self, rule): for file in chain(rule.output, rule.input): if is_flagged(file, "dynamic"): yield Lint( title="The dynamic flag is deprecated", body="Use checkpoints instead, which are more powerful and less error-prone.", links=[links.checkpoints], ) def lint_long_run(self, rule): func_code = rule.run_func.__code__.co_code if rule.is_run and len(func_code) > 70: yield Lint( title="Migrate long run directives into scripts or notebooks", body="Long run directives hamper workflow readability. Use the script or notebook direcive instead. " "Note that the script or notebook directive does not involve boilerplate. Similar to run, you " "will have direct access to params, input, output, and wildcards." "Only use the run direcive for a handful of lines.", links=[links.external_scripts, links.notebooks], ) def lint_iofile_by_index(self, rule, regex=re.compile("(input|output)\[[0-9]+\]")): if rule.shellcmd and regex.search(rule.shellcmd): yield Lint( title="Do not access input and output files individually by index in shell commands", body="When individual access to input or output files is needed (i.e., just writing '{input}' " "is impossible), use names ('{input.somename}') instead of index based access.", links=[links.rules], ) def lint_missing_software_definition(self, rule): if ( not rule.norun and not rule.is_handover and not rule.is_run and not (rule.conda_env or rule.container_img) ): if rule.env_modules: yield Lint( title="Additionally specify a conda environment or container for each rule, environment modules are not enough", body="While environment modules allow to document and deploy the required software on a certain " "platform, they lock your workflow in there, disabling easy reproducibility on other machines " "that don't have exactly the same environment modules. Hence env modules (which might be beneficial " "in certain cluster environments), should allways be complemented with equivalent conda " "environments.", links=[links.package_management, links.containers], ) else: yield Lint( title="Specify a conda environment or container for each rule.", body="This way, the used software for each specific step is documented, and " "the workflow can be executed on any machine without prerequisites.", links=[links.package_management, links.containers], ) snakemake-6.15.1/snakemake/linting/snakefiles.py000066400000000000000000000111721417574166400216650ustar00rootroot00000000000000import re from itertools import chain from snakemake.linting import Linter, Lint, links, NAME_PATTERN ABS_PATH_PATTERN = "(?P['\"])(?P(?:/[^/\\n]+?)+?)(?P=quote)" PATH_PATTERN = "(?P['\"])(?P/?(?:[^/]+?/)+?(?:[^/]+?)?)(?P=quote)" class SnakefileLinter(Linter): def item_desc_plain(self, snakefile): return "snakefile {}".format(snakefile) def item_desc_json(self, snakefile): return {"snakefile": snakefile} def read_item(self, snakefile): return self.workflow.sourcecache.open(snakefile).read() def lint_absolute_paths(self, snakefile, regex=re.compile(ABS_PATH_PATTERN)): for match in regex.finditer(snakefile): line = get_line(match, snakefile) yield Lint( title='Absolute path "{}" in line {}'.format(match.group("path"), line), body="Do not define absolute paths inside of the workflow, since this " "renders your workflow irreproducible on other machines. " "Use path relative to the working directory instead, or make the path " "configurable via a config file.", links=[links.config], ) def lint_mixed_func_and_rules( self, snakefile, rule_regex=re.compile("rule .+?:"), func_regex=re.compile("def .+?:"), ): if rule_regex.search(snakefile) and func_regex.search(snakefile): yield Lint( title="Mixed rules and functions in same snakefile.", body="Small one-liner functions used only once should be " "defined as lambda expressions. Other functions should be collected " "in a common module, e.g. 'rules/common.smk'. This makes the workflow " "steps more readable.", links=[links.includes], ) def lint_path_add( self, snakefile, regex1=re.compile( "{name} *\\+ *{path}".format(name=NAME_PATTERN, path=PATH_PATTERN) ), regex2=re.compile( "{path} *\\+ *{name}".format(path=PATH_PATTERN, name=NAME_PATTERN) ), ): for match in chain(regex1.finditer(snakefile), regex2.finditer(snakefile)): line = get_line(match, snakefile) yield Lint( title="Path composition with '+' in line {}".format(line), body="This becomes quickly unreadable. Usually, it is better to endure some " "redundancy against having a more readable workflow. Hence, just repeat common " 'prefixes. If path composition is unavoidable, use pathlib or (python >= 3.6) string formatting with f"...". ', ) def lint_envvars( self, snakefile, regex=re.compile("os.environ\[(?P['\"])(?P.+)?(?P=quote)\]"), ): for match in regex.finditer(snakefile): line = get_line(match, snakefile) name = match.group("name") if name not in self.workflow.envvars: yield Lint( title="Environment variable {} used but not asserted with envvars directive in line {}.".format( name, line ), body="Asserting existence of environment variables with the envvars directive ensures proper error " "messages if the user fails to invoke a workflow with all required environment variables defined. " "Further, it allows snakemake to pass them on in case of distributed execution.", links=[links.envvars], ) def lint_singularity(self, snakefile, regex=re.compile("singularity:")): for match in regex.finditer(snakefile): line = get_line(match, snakefile) yield Lint( title="Deprecated singularity directive used for container definition in line {}.".format( line ), body="Use the container directive instead (it is agnostic of the underlying container runtime).", links=[links.containers], ) def lint_tab_usage(self, snakefile, regex=re.compile(r"^ *\t")): for match in regex.finditer(snakefile): line = get_line(match, snakefile) yield Lint( title="Tab usage in line {}.".format(line), body="Both Python and Snakemake can get confused when mixing tabs and spaces for indentation. " "It is recommended to only use spaces for indentation.", ) def get_line(match, snakefile): return snakefile[: match.start()].count("\n") + 1 snakemake-6.15.1/snakemake/logging.py000066400000000000000000000556261417574166400175370ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import logging as _logging import platform import time import datetime import sys import os import json import threading from functools import partial import inspect import textwrap from snakemake.common import DYNAMIC_FILL from snakemake.common import Mode class ColorizingStreamHandler(_logging.StreamHandler): BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE = range(8) RESET_SEQ = "\033[0m" COLOR_SEQ = "\033[%dm" BOLD_SEQ = "\033[1m" colors = { "WARNING": YELLOW, "INFO": GREEN, "DEBUG": BLUE, "CRITICAL": RED, "ERROR": RED, } def __init__( self, nocolor=False, stream=sys.stderr, use_threads=False, mode=Mode.default ): super().__init__(stream=stream) self._output_lock = threading.Lock() self.nocolor = nocolor or not self.can_color_tty(mode) def can_color_tty(self, mode): if "TERM" in os.environ and os.environ["TERM"] == "dumb": return False if mode == Mode.subprocess: return True return self.is_tty and not platform.system() == "Windows" @property def is_tty(self): isatty = getattr(self.stream, "isatty", None) return isatty and isatty() def emit(self, record): with self._output_lock: try: self.format(record) # add the message to the record self.stream.write(self.decorate(record)) self.stream.write(getattr(self, "terminator", "\n")) self.flush() except BrokenPipeError as e: raise e except (KeyboardInterrupt, SystemExit): # ignore any exceptions in these cases as any relevant messages have been printed before pass except Exception as e: self.handleError(record) def decorate(self, record): message = record.message message = [message] if not self.nocolor and record.levelname in self.colors: message.insert(0, self.COLOR_SEQ % (30 + self.colors[record.levelname])) message.append(self.RESET_SEQ) return "".join(message) class SlackLogger: def __init__(self): from slacker import Slacker self.token = os.getenv("SLACK_TOKEN") if not self.token: print( "The use of slack logging requires the user to set a user specific slack legacy token to the SLACK_TOKEN environment variable. Set this variable by 'export SLACK_TOKEN=your_token'. To generate your token please visit https://api.slack.com/custom-integrations/legacy-tokens." ) exit(-1) self.slack = Slacker(self.token) # Check for success try: auth = self.slack.auth.test().body except Exception: print( "Slack connection failed. Please compare your provided slack token exported in the SLACK_TOKEN environment variable with your online token at https://api.slack.com/custom-integrations/legacy-tokens. A different token can be set up by 'export SLACK_TOKEN=your_token'." ) exit(-1) self.own_id = auth["user_id"] self.error_occured = False def log_handler(self, msg): if msg["level"] == "error" and not self.error_occured: self.slack.chat.post_message( self.own_id, text="At least one error occured.", username="snakemake" ) self.error_occured = True if msg["level"] == "progress" and msg["done"] == msg["total"]: # workflow finished self.slack.chat.post_message( self.own_id, text="Workflow complete.", username="snakemake" ) class WMSLogger: def __init__(self, address=None, args=None, metadata=None): """A WMS monitor is a workflow management system logger to enable monitoring with something like Panoptes. The address corresponds to the --wms-monitor argument, and args should be a list of key/value pairs with extra arguments to send to identify the workflow. We require the logging server to exist and receive creating a workflow to start the run, but we don't exit with error if any updates fail, as the workflow will already be running and it would not be worth stopping it. """ from snakemake.resources import DefaultResources self.address = address or "http:127.0.0.1:5000" self.args = map(DefaultResources.decode_arg, args) if args else [] self.metadata = metadata or {} # A token is suggested but not required, depends on server self.token = os.getenv("WMS_MONITOR_TOKEN") self.service_info() # Create or retrieve the existing workflow self.create_workflow() def service_info(self): """Service Info ensures that the server is running. We exit on error if this isn't the case, so the function can be called in init. """ import requests # We first ensure that the server is running, period response = requests.get( self.address + "/api/service-info", headers=self._headers ) if response.status_code != 200: sys.stderr.write( "Problem with server: {} {}".format(self.address, os.linesep) ) sys.exit(-1) # And then that it's ready to be interacted with if response.json().get("status") != "running": sys.stderr.write( "The status of the server {} is not in 'running' mode {}".format( self.address, os.linesep ) ) sys.exit(-1) def create_workflow(self): """Creating a workflow means pinging the wms server for a new id, or if providing an argument for an existing workflow, ensuring that it exists and receiving back the same identifier. """ import requests # Send the working directory to the server workdir = ( os.getcwd() if not self.metadata.get("directory") else os.path.abspath(self.metadata["directory"]) ) # Prepare a request that has metadata about the job metadata = { "snakefile": os.path.join(workdir, self.metadata.get("snakefile")), "command": self.metadata.get("command"), "workdir": workdir, } response = requests.get( self.address + "/create_workflow", headers=self._headers, params=self.args, data=metadata, ) # Check the response, will exit on any error self.check_response(response, "/create_workflow") # Provide server parameters to the logger self.server = {"url": self.address, "id": response.json()["id"]} def check_response(self, response, endpoint="wms monitor request"): """A helper function to take a response and check for an expected set of error codes, 404 (not found), 401 (requires authorization), 403 (permission denied), 500 (server error) and 200 (success). """ status_code = response.status_code # Cut out early on success if status_code == 200: return if status_code == 404: sys.stderr.write("The wms %s endpoint was not found" % endpoint) sys.exit(-1) elif status_code == 401: sys.stderr.write( "Authorization is required with a WMS_MONITOR_TOKEN in the environment" ) sys.exit(-1) elif status_code == 500: sys.stderr.write( "There was a server error when trying to access %s" % endpoint ) sys.exit(-1) elif status_code == 403: sys.stderr.write("Permission is denied to %s." % endpoint) sys.exit(-1) # Any other response code is not acceptable sys.stderr.write( "The %s response code %s is not recognized." % (endpoint, response.status_code) ) @property def _headers(self): """return authenticated headers if the user has provided a token""" headers = None if self.token: headers = {"Authorization": "Bearer %s" % self.token} return headers def _parse_message(self, msg): """Given a message dictionary, we want to loop through the key, value pairs and convert some attributes to strings (e.g., jobs are fine to be represnted as names) and return a dictionary. """ result = {} for key, value in msg.items(): # For a job, the name is sufficient if key == "job": result[key] = str(value) # For an exception, return the name and a message elif key == "exception": result[key] = "%s: %s" % ( msg["exception"].__class__.__name__, msg["exception"] or "Exception", ) # All other fields are json serializable else: result[key] = value # Return a json dumped string return json.dumps(result) def log_handler(self, msg): """Custom wms server log handler. Sends the log to the server. Args: msg (dict): the log message dictionary """ import requests url = self.server["url"] + "/update_workflow_status" server_info = { "msg": self._parse_message(msg), "timestamp": time.asctime(), "id": self.server["id"], } response = requests.post(url, data=server_info, headers=self._headers) self.check_response(response, "/update_workflow_status") class Logger: def __init__(self): self.logger = _logging.getLogger(__name__) self.log_handler = [self.text_handler] self.stream_handler = None self.printshellcmds = False self.printreason = False self.debug_dag = False self.quiet = False self.logfile = None self.last_msg_was_job_info = False self.mode = Mode.default self.show_failed_logs = False self.logfile_handler = None def setup_logfile(self): if self.mode == Mode.default: os.makedirs(os.path.join(".snakemake", "log"), exist_ok=True) self.logfile = os.path.abspath( os.path.join( ".snakemake", "log", datetime.datetime.now().isoformat().replace(":", "") + ".snakemake.log", ) ) self.logfile_handler = _logging.FileHandler(self.logfile) self.logger.addHandler(self.logfile_handler) def cleanup(self): if self.mode == Mode.default and self.logfile_handler is not None: self.logger.removeHandler(self.logfile_handler) self.logfile_handler.close() self.log_handler = [self.text_handler] def get_logfile(self): if self.logfile is not None: self.logfile_handler.flush() return self.logfile def remove_logfile(self): if self.mode == Mode.default: self.logfile_handler.close() os.remove(self.logfile) def handler(self, msg): msg["timestamp"] = time.time() for handler in self.log_handler: handler(msg) def set_stream_handler(self, stream_handler): if self.stream_handler is not None: self.logger.removeHandler(self.stream_handler) self.stream_handler = stream_handler self.logger.addHandler(stream_handler) def set_level(self, level): self.logger.setLevel(level) def logfile_hint(self): if self.mode == Mode.default: logfile = self.get_logfile() self.info("Complete log: {}".format(logfile)) def location(self, msg): callerframerecord = inspect.stack()[1] frame = callerframerecord[0] info = inspect.getframeinfo(frame) self.debug( "{}: {info.filename}, {info.function}, {info.lineno}".format(msg, info=info) ) def info(self, msg, indent=False): self.handler(dict(level="info", msg=msg, indent=indent)) def warning(self, msg): self.handler(dict(level="warning", msg=msg)) def debug(self, msg): self.handler(dict(level="debug", msg=msg)) def error(self, msg): self.handler(dict(level="error", msg=msg)) def progress(self, done=None, total=None): self.handler(dict(level="progress", done=done, total=total)) def resources_info(self, msg): self.handler(dict(level="resources_info", msg=msg)) def run_info(self, msg): self.handler(dict(level="run_info", msg=msg)) def group_info(self, **msg): msg["level"] = "group_info" self.handler(msg) def job_info(self, **msg): msg["level"] = "job_info" self.handler(msg) def job_error(self, **msg): msg["level"] = "job_error" self.handler(msg) def group_error(self, **msg): msg["level"] = "group_error" self.handler(msg) def dag_debug(self, msg): self.handler(dict(level="dag_debug", **msg)) def shellcmd(self, msg, indent=False): if msg is not None: msg = dict(level="shellcmd", msg=msg) msg["indent"] = indent self.handler(msg) def job_finished(self, **msg): msg["level"] = "job_finished" self.handler(msg) def rule_info(self, **msg): msg["level"] = "rule_info" self.handler(msg) def d3dag(self, **msg): msg["level"] = "d3dag" self.handler(msg) def text_handler(self, msg): """The default snakemake log handler. Prints the output to the console. Args: msg (dict): the log message dictionary """ def job_info(msg): def format_item(item, omit=None, valueformat=str): value = msg[item] if value != omit: return " {}: {}".format(item, valueformat(value)) yield "{}{} {}:".format( "local" if msg["local"] else "", "checkpoint" if msg["is_checkpoint"] else "rule", msg["name"], ) for item in ["input", "output", "log"]: fmt = format_item(item, omit=[], valueformat=", ".join) if fmt != None: yield fmt singleitems = ["jobid", "benchmark"] if self.printreason: singleitems.append("reason") for item in singleitems: fmt = format_item(item, omit=None) if fmt != None: yield fmt wildcards = format_wildcards(msg["wildcards"]) if wildcards: yield " wildcards: " + wildcards for item, omit in zip("priority threads".split(), [0, 1]): fmt = format_item(item, omit=omit) if fmt != None: yield fmt resources = format_resources(msg["resources"]) if resources: yield " resources: " + resources def indent(item): if msg.get("indent"): return " " + item else: return item def timestamp(): self.logger.info(indent("[{}]".format(time.asctime()))) level = msg["level"] if level == "job_info" and not self.quiet: if not self.last_msg_was_job_info: self.logger.info("") timestamp() if msg["msg"] is not None: self.logger.info(indent("Job {}: {}".format(msg["jobid"], msg["msg"]))) if self.printreason: self.logger.info(indent("Reason: {}".format(msg["reason"]))) else: self.logger.info("\n".join(map(indent, job_info(msg)))) if msg["is_checkpoint"]: self.logger.warning( indent("Downstream jobs will be updated " "after completion.") ) if msg["is_handover"]: self.logger.warning("Handing over execution to foreign system...") self.logger.info("") self.last_msg_was_job_info = True elif level == "group_info" and not self.quiet: timestamp() msg = "group job {} (jobs in lexicogr. order):".format(msg["groupid"]) if not self.last_msg_was_job_info: msg = "\n" + msg self.logger.info(msg) elif level == "job_error": def job_error(): yield indent("Error in rule {}:".format(msg["name"])) yield indent(" jobid: {}".format(msg["jobid"])) if msg["output"]: yield indent(" output: {}".format(", ".join(msg["output"]))) if msg["log"]: yield indent( " log: {} (check log file(s) for error message)".format( ", ".join(msg["log"]) ) ) if msg["conda_env"]: yield indent(" conda-env: {}".format(msg["conda_env"])) if msg["shellcmd"]: yield indent( " shell:\n {}\n (one of the commands exited with non-zero exit code; note that snakemake uses bash strict mode!)".format( msg["shellcmd"] ) ) for item in msg["aux"].items(): yield indent(" {}: {}".format(*item)) if self.show_failed_logs and msg["log"]: for f in msg["log"]: try: yield "Logfile {}:\n{}".format(f, open(f).read()) except FileNotFoundError: yield "Logfile {} not found.".format(f) yield "" timestamp() self.logger.error("\n".join(map(indent, job_error()))) elif level == "group_error": timestamp() self.logger.error("Error in group job {}:".format(msg["groupid"])) else: if level == "info" and not self.quiet: self.logger.warning(msg["msg"]) if level == "warning": self.logger.warning(msg["msg"]) elif level == "error": self.logger.error(msg["msg"]) elif level == "debug": self.logger.debug(msg["msg"]) elif level == "resources_info" and not self.quiet: self.logger.warning(msg["msg"]) elif level == "run_info": self.logger.warning(msg["msg"]) elif level == "progress" and not self.quiet: done = msg["done"] total = msg["total"] self.logger.info( "{} of {} steps ({}) done".format( done, total, format_percentage(done, total) ) ) elif level == "shellcmd": if self.printshellcmds: self.logger.warning(indent(msg["msg"])) elif level == "job_finished" and not self.quiet: timestamp() self.logger.info("Finished job {}.".format(msg["jobid"])) pass elif level == "rule_info": self.logger.info(msg["name"]) if msg["docstring"]: self.logger.info(" " + msg["docstring"]) elif level == "d3dag": print(json.dumps({"nodes": msg["nodes"], "links": msg["edges"]})) elif level == "dag_debug": if self.debug_dag: if "file" in msg: self.logger.warning( "file {file}:\n {msg}\n{exception}".format( file=msg["file"], msg=msg["msg"], exception=textwrap.indent( str(msg["exception"]), " " ), ) ) else: job = msg["job"] self.logger.warning( "{status} job {name}\n wildcards: {wc}".format( status=msg["status"], name=job.rule.name, wc=format_wildcards(job.wildcards), ) ) self.last_msg_was_job_info = False def format_dict(dict_like, omit_keys=[], omit_values=[]): from snakemake.io import Namedlist if isinstance(dict_like, Namedlist): items = dict_like.items() elif isinstance(dict_like, dict): items = dict_like.items() else: raise ValueError( "bug: format_dict applied to something neither a dict nor a Namedlist" ) return ", ".join( "{}={}".format(name, str(value)) for name, value in items if name not in omit_keys and value not in omit_values ) format_resources = partial(format_dict, omit_keys={"_cores", "_nodes"}) format_wildcards = partial(format_dict, omit_values={DYNAMIC_FILL}) def format_resource_names(resources, omit_resources="_cores _nodes".split()): return ", ".join(name for name in resources if name not in omit_resources) def format_percentage(done, total): """Format percentage from given fraction while avoiding superflous precision.""" if done == total: return "100%" if done == 0: return "0%" precision = 0 fraction = done / total fmt_precision = "{{:.{}%}}".format fmt = lambda fraction: fmt_precision(precision).format(fraction) while fmt(fraction) == "100%" or fmt(fraction) == "0%": precision += 1 return fmt(fraction) logger = Logger() def setup_logger( handler=[], quiet=False, printshellcmds=False, printreason=False, debug_dag=False, nocolor=False, stdout=False, debug=False, use_threads=False, mode=Mode.default, show_failed_logs=False, ): logger.log_handler.extend(handler) # console output only if no custom logger was specified stream_handler = ColorizingStreamHandler( nocolor=nocolor, stream=sys.stdout if stdout else sys.stderr, use_threads=use_threads, mode=mode, ) logger.set_stream_handler(stream_handler) logger.set_level(_logging.DEBUG if debug else _logging.INFO) logger.quiet = quiet logger.printshellcmds = printshellcmds logger.printreason = printreason logger.debug_dag = debug_dag logger.mode = mode logger.show_failed_logs = show_failed_logs snakemake-6.15.1/snakemake/modules.py000066400000000000000000000146061417574166400175520ustar00rootroot00000000000000__authors__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" from pathlib import Path import types import re from snakemake.exceptions import WorkflowError from snakemake.path_modifier import PathModifier from snakemake import wrapper from snakemake.checkpoints import Checkpoints from snakemake.common import Rules, Scatter, Gather def get_name_modifier_func(rules=None, name_modifier=None, parent_modifier=None): if name_modifier is None: return None else: if parent_modifier is None: parent_modifier_func = lambda rulename: rulename else: parent_modifier_func = parent_modifier.modify_rulename if "*" in name_modifier: return lambda rulename: parent_modifier_func( name_modifier.replace("*", rulename) ) elif name_modifier is not None: if len(rules) > 1: raise SyntaxError( "Multiple rules in 'use rule' statement but name modification ('as' statement) does not contain a wildcard '*'." ) return lambda rulename: parent_modifier_func(name_modifier) class ModuleInfo: def __init__( self, workflow, name, snakefile=None, meta_wrapper=None, config=None, skip_validation=False, replace_prefix=None, prefix=None, ): self.workflow = workflow self.name = name self.snakefile = snakefile self.meta_wrapper = meta_wrapper self.config = config self.skip_validation = skip_validation if prefix is not None: if isinstance(prefix, Path): prefix = str(prefix) if not isinstance(prefix, str): raise WorkflowError( "Prefix definition in module statement must be string or Path." ) if replace_prefix is not None: raise WorkflowError( "Module definition contains both prefix and replace_prefix. " "Only one at a time is allowed." ) self.replace_prefix = replace_prefix self.prefix = prefix def use_rules(self, rules=None, name_modifier=None, ruleinfo=None): snakefile = self.get_snakefile() with WorkflowModifier( self.workflow, config=self.config, base_snakefile=snakefile, skip_configfile=self.config is not None, skip_validation=self.skip_validation, rule_whitelist=self.get_rule_whitelist(rules), rulename_modifier=get_name_modifier_func(rules, name_modifier), ruleinfo_overwrite=ruleinfo, allow_rule_overwrite=True, namespace=self.name, replace_prefix=self.replace_prefix, prefix=self.prefix, replace_wrapper_tag=self.get_wrapper_tag(), ): self.workflow.include(snakefile, overwrite_default_target=True) def get_snakefile(self): if self.meta_wrapper: return wrapper.get_path( self.meta_wrapper + "/test/Snakefile", self.workflow.wrapper_prefix ) elif self.snakefile: return self.snakefile else: raise WorkflowError( "Module statement must either define snakefile or meta_wrapper to use." ) def get_wrapper_tag(self): if self.meta_wrapper: if wrapper.is_url(self.meta_wrapper): raise WorkflowError( "meta_wrapper directive of module statement currently does not support full URLs." ) return self.meta_wrapper.split("/", 1)[0] return None def get_rule_whitelist(self, rules): if "*" in rules: if len(rules) != 1: raise SyntaxError( "The 'use rule' statement uses a wildcard '*' but lists multiple additional rules." ) else: return None return set(rules) class WorkflowModifier: def __init__( self, workflow, globals=None, config=None, base_snakefile=None, skip_configfile=False, skip_validation=False, rulename_modifier=None, rule_whitelist=None, ruleinfo_overwrite=None, allow_rule_overwrite=False, replace_prefix=None, prefix=None, replace_wrapper_tag=None, namespace=None, ): self.workflow = workflow self.base_snakefile = base_snakefile self.globals = ( globals if globals is not None else dict(workflow.vanilla_globals) ) if config is not None: self.globals["config"] = config self.skip_configfile = skip_configfile self.rulename_modifier = rulename_modifier self.skip_validation = skip_validation self.rule_whitelist = rule_whitelist self.ruleinfo_overwrite = ruleinfo_overwrite self.allow_rule_overwrite = allow_rule_overwrite self.path_modifier = PathModifier(replace_prefix, prefix, workflow) self.replace_wrapper_tag = replace_wrapper_tag self.namespace = namespace def skip_rule(self, rulename): return self.rule_whitelist is not None and rulename not in self.rule_whitelist def modify_rulename(self, rulename): if self.rulename_modifier is not None: return self.rulename_modifier(rulename) return rulename def modify_path(self, path, property=None): return self.path_modifier.modify(path, property) def modify_wrapper_uri(self, wrapper_uri, pattern=re.compile("^master/")): if self.replace_wrapper_tag is None or wrapper.is_url(wrapper_uri): return wrapper_uri else: return pattern.sub(self.replace_wrapper_tag + "/", wrapper_uri) def __enter__(self): # put this modifier on the stack, it becomes the currently valid modifier self.workflow.modifier_stack.append(self) def __exit__(self, type, value, traceback): # remove this modifier from the stack self.workflow.modifier_stack.pop() if self.namespace: namespace = types.ModuleType(self.namespace) namespace.__dict__.update(self.globals) self.workflow.globals[self.namespace] = namespace snakemake-6.15.1/snakemake/notebook.py000066400000000000000000000240451417574166400177200ustar00rootroot00000000000000from abc import abstractmethod import os, sys from pathlib import Path from urllib.error import URLError import tempfile import re import shutil from snakemake.exceptions import WorkflowError from snakemake.shell import shell from snakemake.script import get_source, ScriptBase, PythonScript, RScript from snakemake.logging import logger from snakemake.common import is_local_file from snakemake.common import ON_WINDOWS from snakemake.sourcecache import SourceCache, infer_source_file from snakemake.utils import format KERNEL_STARTED_RE = re.compile(r"Kernel started: (?P\S+)") KERNEL_SHUTDOWN_RE = re.compile(r"Kernel shutdown: (?P\S+)") class EditMode: def __init__(self, server_addr=None, draft_only=False): if server_addr is not None: self.ip, self.port = server_addr.split(":") self.draft_only = draft_only def get_cell_sources(source): import nbformat nb = nbformat.reads(source, as_version=nbformat.NO_CONVERT) return [cell["source"] for cell in nb["cells"]] class JupyterNotebook(ScriptBase): editable = True def draft(self): import nbformat preamble = self.get_preamble() nb = nbformat.v4.new_notebook() self.insert_preamble_cell(preamble, nb) nb["cells"].append(nbformat.v4.new_code_cell("# start coding here")) nb["metadata"] = {"language_info": {"name": self.get_language_name()}} os.makedirs(os.path.dirname(self.local_path), exist_ok=True) with open(self.local_path, "wb") as out: out.write(nbformat.writes(nb).encode()) def draft_and_edit(self, listen): self.draft() self.source = open(self.local_path).read() self.evaluate(edit=listen) def write_script(self, preamble, fd): import nbformat nb = nbformat.reads(self.source, as_version=nbformat.NO_CONVERT) self.remove_preamble_cell(nb) self.insert_preamble_cell(preamble, nb) fd.write(nbformat.writes(nb).encode()) def execute_script(self, fname, edit=None): import nbformat fname_out = self.log.get("notebook", None) if fname_out is None or edit: output_parameter = "" else: fname_out = os.path.join(os.getcwd(), fname_out) output_parameter = "--output {fname_out:q}" with tempfile.TemporaryDirectory() as tmp: if edit is not None: assert not edit.draft_only logger.info("Opening notebook for editing.") cmd = ( "jupyter notebook --browser ':' --no-browser --log-level ERROR --ip {edit.ip} --port {edit.port} " "--NotebookApp.quit_button=True {{fname:q}}".format(edit=edit) ) else: cmd = ( "jupyter-nbconvert --log-level ERROR --execute {output_parameter} " "--to notebook --ExecutePreprocessor.timeout=-1 {{fname:q}}".format( output_parameter=output_parameter, ) ) if ON_WINDOWS: fname = fname.replace("\\", "/") fname_out = fname_out.replace("\\", "/") if fname_out else fname_out self._execute_cmd( cmd, fname_out=fname_out, fname=fname, additional_envvars={"IPYTHONDIR": tmp}, ) if edit: logger.info("Saving modified notebook.") nb = nbformat.read(fname, as_version=4) self.remove_preamble_cell(nb) # clean up all outputs for cell in nb["cells"]: cell["outputs"] = [] nbformat.write(nb, self.local_path) def insert_preamble_cell(self, preamble, notebook): import nbformat preamble_cell = nbformat.v4.new_code_cell(preamble) preamble_cell["metadata"]["tags"] = ["snakemake-job-properties"] notebook["cells"].insert(0, preamble_cell) def remove_preamble_cell(self, notebook): preambles = [ i for i, cell in enumerate(notebook["cells"]) if "snakemake-job-properties" in cell["metadata"].get("tags", []) ] if len(preambles) > 1: raise WorkflowError( "More than one snakemake preamble cell found in notebook. " "Please clean up the notebook first, by removing all or all but one of them." ) elif len(preambles) == 1: preamble = preambles[0] # remove old preamble del notebook["cells"][preamble] @abstractmethod def get_language_name(self): ... @abstractmethod def get_interpreter_exec(self): ... class PythonJupyterNotebook(JupyterNotebook): def get_preamble(self): preamble_addendum = "import os; os.chdir(r'{cwd}');".format(cwd=os.getcwd()) return PythonScript.generate_preamble( self.path, self.source, self.basedir, self.input, self.output, self.params, self.wildcards, self.threads, self.resources, self.log, self.config, self.rulename, self.conda_env, self.container_img, self.singularity_args, self.env_modules, self.bench_record, self.jobid, self.bench_iteration, self.cleanup_scripts, self.shadow_dir, self.is_local, preamble_addendum=preamble_addendum, ) def get_language_name(self): return "python" def get_interpreter_exec(self): return "python" class RJupyterNotebook(JupyterNotebook): def get_preamble(self): preamble_addendum = "setwd('{cwd}');".format(cwd=os.getcwd()) return RScript.generate_preamble( self.path, self.source, self.basedir, self.input, self.output, self.params, self.wildcards, self.threads, self.resources, self.log, self.config, self.rulename, self.conda_env, self.container_img, self.singularity_args, self.env_modules, self.bench_record, self.jobid, self.bench_iteration, self.cleanup_scripts, self.shadow_dir, preamble_addendum=preamble_addendum, ) def get_language_name(self): return "r" def get_interpreter_exec(self): return "RScript" def get_exec_class(language): exec_class = { "jupyter_python": PythonJupyterNotebook, "jupyter_r": RJupyterNotebook, }.get(language, None) if exec_class is None: raise ValueError("Unsupported notebook: Expecting Jupyter Notebook (.ipynb).") return exec_class def notebook( path, basedir, input, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, edit, runtime_sourcecache_path, ): """ Load a script from the given basedir + path and execute it. """ draft = False path = format(path, wildcards=wildcards, params=params) if edit is not None: if is_local_file(path): if not os.path.isabs(path): local_path = os.path.join(basedir, path) else: local_path = path if not os.path.exists(local_path): # draft the notebook, it does not exist yet language = None draft = True path = "file://{}".format(os.path.abspath(local_path)) if path.endswith(".py.ipynb"): language = "jupyter_python" elif path.endswith(".r.ipynb"): language = "jupyter_r" else: raise WorkflowError( "Notebook to edit has to end on .py.ipynb or .r.ipynb in order " "to decide which programming language shall be used." ) else: raise WorkflowError( "Notebook {} is not local, but edit mode is only allowed for " "local notebooks.".format(path) ) if not draft: path, source, language, is_local = get_source( path, SourceCache(runtime_sourcecache_path), basedir, wildcards, params ) else: source = None is_local = True path = infer_source_file(path) exec_class = get_exec_class(language) executor = exec_class( path, source, basedir, input, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, is_local, ) if edit is None: executor.evaluate(edit=edit) elif edit.draft_only: executor.draft() msg = "Generated skeleton notebook:\n{} ".format(path) if conda_env and not container_img: msg += ( "\n\nEditing with VSCode:\nOpen notebook, run command 'Select notebook kernel' (Ctrl+Shift+P or Cmd+Shift+P), and choose:" "\n{}\n".format( str(Path(conda_env) / "bin" / executor.get_interpreter_exec()) ) ) msg += ( "\nEditing with Jupyter CLI:" "\nconda activate {}\njupyter notebook {}\n".format(conda_env, path) ) logger.info(msg) elif draft: executor.draft_and_edit(listen=edit) else: executor.evaluate(edit=edit) snakemake-6.15.1/snakemake/output_index.py000066400000000000000000000030271417574166400206240ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@protonmail.com" __license__ = "MIT" from itertools import chain class OutputIndex: def __init__(self, rules): import datrie def prefixes(rule): return (str(o.constant_prefix()) for o in rule.products) def reverse_suffixes(rule): return (str(o.constant_suffix())[::-1] for o in rule.products) def calc_trie(subpatterns): t = datrie.Trie("".join(p for rule in rules for p in subpatterns(rule))) empty = list() for rule in rules: has_empty = False for p in subpatterns(rule): if not p: has_empty = True if p not in t: t[p] = [rule] else: t[p].append(rule) if has_empty: empty.append(rule) return t, empty self.prefix_trie, self.empty_prefix = calc_trie(prefixes) self.suffix_trie, self.empty_suffix = calc_trie(reverse_suffixes) def match(self, targetfile): def match_pattern(pattern, trie, empty): return chain(chain.from_iterable(trie.iter_prefix_values(pattern)), empty) f = str(targetfile) hits = set(match_pattern(f, self.prefix_trie, self.empty_prefix)) return hits.intersection( match_pattern(f[::-1], self.suffix_trie, self.empty_suffix) ) snakemake-6.15.1/snakemake/parser.py000066400000000000000000001021351417574166400173710ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import tokenize import textwrap import os from urllib.error import HTTPError, URLError, ContentTooShortError import urllib.request from io import TextIOWrapper from snakemake.exceptions import WorkflowError from snakemake import common dd = textwrap.dedent INDENT = "\t" def is_newline(token, newline_tokens=set((tokenize.NEWLINE, tokenize.NL))): return token.type in newline_tokens def is_indent(token): return token.type == tokenize.INDENT def is_dedent(token): return token.type == tokenize.DEDENT def is_op(token): return token.type == tokenize.OP def is_greater(token): return is_op(token) and token.string == ">" def is_comma(token): return is_op(token) and token.string == "," def is_name(token): return token.type == tokenize.NAME def is_colon(token): return is_op(token) and token.string == ":" def is_comment(token): return token.type == tokenize.COMMENT def is_string(token): return token.type == tokenize.STRING def is_eof(token): return token.type == tokenize.ENDMARKER def lineno(token): return token.start[0] class StopAutomaton(Exception): def __init__(self, token): self.token = token class TokenAutomaton: subautomata = dict() def __init__(self, snakefile, base_indent=0, dedent=0, root=True): self.root = root self.snakefile = snakefile self.state = None self.base_indent = base_indent self.line = 0 self.indent = 0 self.was_indented = False self.lasttoken = None self._dedent = dedent @property def dedent(self): return self._dedent @property def effective_indent(self): return self.base_indent + self.indent - self.dedent def indentation(self, token): if is_indent(token) or is_dedent(token): self.indent = token.end[1] - self.base_indent self.was_indented |= self.indent > 0 def consume(self): for token in self.snakefile: self.indentation(token) try: for t, orig in self.state(token): if self.lasttoken == "\n" and not t.isspace(): yield INDENT * self.effective_indent, orig yield t, orig self.lasttoken = t except tokenize.TokenError as e: self.error( str(e).split(",")[0].strip("()''"), token ) # TODO the inferred line number seems to be wrong sometimes def error(self, msg, token): raise SyntaxError(msg, (self.snakefile.path, lineno(token), None, None)) def subautomaton(self, automaton, *args, **kwargs): return self.subautomata[automaton]( self.snakefile, *args, base_indent=self.base_indent + self.indent, dedent=self.dedent, root=False, **kwargs, ) class KeywordState(TokenAutomaton): prefix = "" def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.line = 0 self.state = self.colon @property def keyword(self): return self.__class__.__name__.lower()[len(self.prefix) :] def end(self): yield ")" def decorate_end(self, token): for t in self.end(): if isinstance(t, tuple): yield t else: yield t, token def colon(self, token): if is_colon(token): self.state = self.block for t in self.start(): yield t, token else: self.error("Colon expected after keyword {}.".format(self.keyword), token) def is_block_end(self, token): return (self.line and self.indent <= 0) or is_eof(token) def block(self, token): if self.lasttoken == "\n" and is_comment(token): # ignore lines containing only comments self.line -= 1 if self.is_block_end(token): yield from self.decorate_end(token) yield "\n", token raise StopAutomaton(token) if is_newline(token): self.line += 1 yield token.string, token elif not (is_indent(token) or is_dedent(token)): if is_comment(token): yield token.string, token else: yield from self.block_content(token) def yield_indent(self, token): return token.string, token def block_content(self, token): yield token.string, token class GlobalKeywordState(KeywordState): def start(self): yield "workflow.{keyword}(".format(keyword=self.keyword) class DecoratorKeywordState(KeywordState): decorator = None args = list() def start(self): yield "@workflow.{}".format(self.decorator) yield "\n" yield "def __{}({}):".format(self.decorator, ", ".join(self.args)) def end(self): yield "" class RuleKeywordState(KeywordState): def __init__(self, snakefile, base_indent=0, dedent=0, root=True, rulename=None): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.rulename = rulename def start(self): yield "\n" yield "@workflow.{keyword}(".format(keyword=self.keyword) class SectionKeywordState(KeywordState): def start(self): yield ", {keyword}=".format(keyword=self.keyword) def end(self): # no end needed return list() # Global keyword states class Envvars(GlobalKeywordState): @property def keyword(self): return "register_envvars" class Include(GlobalKeywordState): pass class Workdir(GlobalKeywordState): pass class Configfile(GlobalKeywordState): pass # PEPs class Pepfile(GlobalKeywordState): pass class Pepschema(GlobalKeywordState): pass class Report(GlobalKeywordState): pass class Scattergather(GlobalKeywordState): pass class Ruleorder(GlobalKeywordState): def block_content(self, token): if is_greater(token): yield ",", token elif is_name(token): yield repr(token.string), token else: self.error( "Expected a descending order of rule names, " "e.g. rule1 > rule2 > rule3 ...", token, ) class GlobalWildcardConstraints(GlobalKeywordState): @property def keyword(self): return "global_wildcard_constraints" class GlobalSingularity(GlobalKeywordState): @property def keyword(self): return "global_container" class GlobalContainer(GlobalKeywordState): @property def keyword(self): return "global_container" class GlobalContainerized(GlobalKeywordState): @property def keyword(self): return "global_containerized" # subworkflows class SubworkflowKeywordState(SectionKeywordState): prefix = "Subworkflow" class SubworkflowSnakefile(SubworkflowKeywordState): pass class SubworkflowWorkdir(SubworkflowKeywordState): pass class SubworkflowConfigfile(SubworkflowKeywordState): pass class Subworkflow(GlobalKeywordState): subautomata = dict( snakefile=SubworkflowSnakefile, workdir=SubworkflowWorkdir, configfile=SubworkflowConfigfile, ) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.name self.has_snakefile = False self.has_workdir = False self.has_name = False self.primary_token = None def end(self): if not (self.has_snakefile or self.has_workdir): self.error( "A subworkflow needs either a path to a Snakefile or to a workdir.", self.primary_token, ) yield ")" def name(self, token): if is_name(token): yield "workflow.subworkflow({name!r}".format(name=token.string), token self.has_name = True elif is_colon(token) and self.has_name: self.primary_token = token self.state = self.block else: self.error("Expected name after subworkflow keyword.", token) def block_content(self, token): if is_name(token): try: if token.string == "snakefile": self.has_snakefile = True if token.string == "workdir": self.has_workdir = True for t in self.subautomaton(token.string).consume(): yield t except KeyError: self.error( "Unexpected keyword {} in " "subworkflow definition".format(token.string), token, ) except StopAutomaton as e: self.indentation(e.token) for t in self.block(e.token): yield t elif is_comment(token): yield "\n", token yield token.string, token elif is_string(token): # ignore docstring pass else: self.error( "Expecting subworkflow keyword, comment or docstrings " "inside a subworkflow definition.", token, ) class Localrules(GlobalKeywordState): def block_content(self, token): if is_comma(token): yield ",", token elif is_name(token): yield repr(token.string), token else: self.error( "Expected a comma separated list of rules that shall " "not be executed by the cluster command.", token, ) # Rule keyword states class Name(RuleKeywordState): pass class Input(RuleKeywordState): pass class Output(RuleKeywordState): pass class Params(RuleKeywordState): pass class Threads(RuleKeywordState): pass class Shadow(RuleKeywordState): pass class Resources(RuleKeywordState): pass class Priority(RuleKeywordState): pass class Version(RuleKeywordState): pass class Log(RuleKeywordState): pass class Message(RuleKeywordState): pass class Benchmark(RuleKeywordState): pass class Conda(RuleKeywordState): pass class Singularity(RuleKeywordState): @property def keyword(self): return "container" class Container(RuleKeywordState): pass class Containerized(RuleKeywordState): pass class EnvModules(RuleKeywordState): pass class Group(RuleKeywordState): pass class Cache(RuleKeywordState): @property def keyword(self): return "cache_rule" class DefaultTarget(RuleKeywordState): @property def keyword(self): return "default_target_rule" class Handover(RuleKeywordState): pass class WildcardConstraints(RuleKeywordState): @property def keyword(self): return "wildcard_constraints" class Run(RuleKeywordState): def __init__(self, snakefile, rulename, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.rulename = rulename self.content = 0 def start(self): yield "@workflow.run" yield "\n" yield ( "def __rule_{rulename}(input, output, params, wildcards, threads, " "resources, log, version, rule, conda_env, container_img, " "singularity_args, use_singularity, env_modules, bench_record, jobid, " "is_shell, bench_iteration, cleanup_scripts, shadow_dir, edit_notebook, " "conda_base_path, basedir, runtime_sourcecache_path, {rule_func_marker}=True):".format( rulename=self.rulename if self.rulename is not None else self.snakefile.rulecount, rule_func_marker=common.RULEFUNC_CONTEXT_MARKER, ) ) def end(self): yield "" def block_content(self, token): self.content += 1 yield token.string, token def is_block_end(self, token): return (self.content and self.line and self.indent <= 0) or is_eof(token) class AbstractCmd(Run): overwrite_cmd = None start_func = None end_func = None def __init__(self, snakefile, rulename, base_indent=0, dedent=0, root=True): super().__init__( snakefile, rulename, base_indent=base_indent, dedent=dedent, root=root ) self.cmd = list() self.token = None if self.overwrite_cmd is not None: self.block_content = self.overwrite_block_content def is_block_end(self, token): return (self.line and self.indent <= 0) or is_eof(token) def start(self): if self.start_func is not None: yield self.start_func yield "(" def args(self): yield from [] def end(self): # the end is detected. So we can savely reset the indent to zero here self.indent = 0 yield "\n" yield ")" yield "\n" for t in super().start(): yield t yield "\n" yield INDENT * (self.effective_indent + 1) yield self.end_func yield "(" yield "\n".join(self.cmd) yield from self.args() yield "\n" yield ")" for t in super().end(): yield t def decorate_end(self, token): if self.token is None: # no block after shell keyword self.error( "Command must be given as string after the shell keyword.", token ) for t in self.end(): yield t, self.token def block_content(self, token): self.token = token self.cmd.append(token.string) yield token.string, token def overwrite_block_content(self, token): if self.token is None: self.token = token cmd = repr(self.overwrite_cmd) self.cmd.append(cmd) yield cmd, token class Shell(AbstractCmd): start_func = "@workflow.shellcmd" end_func = "shell" def args(self): yield ", bench_record=bench_record, bench_iteration=bench_iteration" class Script(AbstractCmd): start_func = "@workflow.script" end_func = "script" def args(self): yield ( ", basedir, input, output, params, wildcards, threads, resources, log, " "config, rule, conda_env, conda_base_path, container_img, singularity_args, env_modules, " "bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, runtime_sourcecache_path" ) class Notebook(Script): start_func = "@workflow.notebook" end_func = "notebook" def args(self): yield ( ", basedir, input, output, params, wildcards, threads, resources, log, " "config, rule, conda_env, conda_base_path, container_img, singularity_args, env_modules, " "bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, " "edit_notebook, runtime_sourcecache_path" ) class Wrapper(Script): start_func = "@workflow.wrapper" end_func = "wrapper" def args(self): yield ( ", input, output, params, wildcards, threads, resources, log, " "config, rule, conda_env, conda_base_path, container_img, singularity_args, env_modules, " "bench_record, workflow.wrapper_prefix, jobid, bench_iteration, " "cleanup_scripts, shadow_dir, runtime_sourcecache_path" ) class CWL(Script): start_func = "@workflow.cwl" end_func = "cwl" def args(self): yield ( ", basedir, input, output, params, wildcards, threads, resources, log, " "config, rule, use_singularity, bench_record, jobid, runtime_sourcecache_path" ) rule_property_subautomata = dict( name=Name, input=Input, output=Output, params=Params, threads=Threads, resources=Resources, priority=Priority, version=Version, log=Log, message=Message, benchmark=Benchmark, conda=Conda, singularity=Singularity, container=Container, containerized=Containerized, envmodules=EnvModules, wildcard_constraints=WildcardConstraints, shadow=Shadow, group=Group, cache=Cache, handover=Handover, default_target=DefaultTarget, ) class Rule(GlobalKeywordState): subautomata = dict( run=Run, shell=Shell, script=Script, notebook=Notebook, wrapper=Wrapper, cwl=CWL, **rule_property_subautomata, ) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.name self.lineno = None self.rulename = None self.run = False self.snakefile.rulecount += 1 def start(self, aux=""): yield ( "@workflow.rule(name={rulename!r}, lineno={lineno}, " "snakefile={snakefile!r}{aux})".format( rulename=self.rulename, lineno=self.lineno, snakefile=self.snakefile.path, aux=aux, ) ) def end(self): if not self.run: yield "@workflow.norun()" yield "\n" for t in self.subautomaton("run", rulename=self.rulename).start(): yield t # the end is detected. # So we can savely reset the indent to zero here self.indent = 0 yield "\n" yield INDENT * (self.effective_indent + 1) yield "pass" def name(self, token): if is_name(token): self.rulename = token.string elif is_colon(token): self.lineno = self.snakefile.lines + 1 self.state = self.block for t in self.start(): yield t, token else: self.error( "Expected name or colon after " "rule or checkpoint keyword.", token ) def block_content(self, token): if is_name(token): try: if ( token.string == "run" or token.string == "shell" or token.string == "script" or token.string == "wrapper" or token.string == "cwl" ): if self.run: raise self.error( "Multiple run or shell keywords in rule {}.".format( self.rulename ), token, ) self.run = True elif self.run: raise self.error( "No rule keywords allowed after " "run/shell/script/wrapper/cwl in " "rule {}.".format(self.rulename), token, ) for t in self.subautomaton( token.string, rulename=self.rulename ).consume(): yield t except KeyError: self.error( "Unexpected keyword {} in rule definition".format(token.string), token, ) except StopAutomaton as e: self.indentation(e.token) for t in self.block(e.token): yield t elif is_comment(token): yield "\n", token yield token.string, token elif is_string(token): yield "\n", token yield "@workflow.docstring({})".format(token.string), token else: self.error( "Expecting rule keyword, comment or docstrings " "inside a rule definition.", token, ) @property def dedent(self): return self.indent class Checkpoint(Rule): def start(self): yield from super().start(aux=", checkpoint=True") class OnSuccess(DecoratorKeywordState): decorator = "onsuccess" args = ["log"] class OnError(DecoratorKeywordState): decorator = "onerror" args = ["log"] class OnStart(DecoratorKeywordState): decorator = "onstart" args = ["log"] # modules class ModuleKeywordState(SectionKeywordState): prefix = "Module" class ModuleSnakefile(ModuleKeywordState): pass class ModulePrefix(ModuleKeywordState): pass class ModuleMetaWrapper(ModuleKeywordState): @property def keyword(self): return "meta_wrapper" class ModuleConfig(ModuleKeywordState): pass class ModuleSkipValidation(ModuleKeywordState): @property def keyword(self): return "skip_validation" class ModuleReplacePrefix(ModuleKeywordState): @property def keyword(self): return "replace_prefix" class Module(GlobalKeywordState): subautomata = dict( snakefile=ModuleSnakefile, meta_wrapper=ModuleMetaWrapper, config=ModuleConfig, skip_validation=ModuleSkipValidation, replace_prefix=ModuleReplacePrefix, prefix=ModulePrefix, ) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.name self.has_snakefile = False self.has_meta_wrapper = False self.has_name = False self.primary_token = None def end(self): if not (self.has_snakefile or self.has_meta_wrapper): self.error( "A module needs either a path to a Snakefile or a meta wrapper URL.", self.primary_token, ) yield ")" def name(self, token): if is_name(token): yield "workflow.module({name!r}".format(name=token.string), token self.has_name = True elif is_colon(token) and self.has_name: self.primary_token = token self.state = self.block else: self.error("Expected name after module keyword.", token) def block_content(self, token): if is_name(token): try: if token.string == "snakefile": self.has_snakefile = True if token.string == "meta_wrapper": self.has_meta_wrapper = True for t in self.subautomaton(token.string).consume(): yield t except KeyError: self.error( "Unexpected keyword {} in " "module definition".format(token.string), token, ) except StopAutomaton as e: self.indentation(e.token) for t in self.block(e.token): yield t elif is_comment(token): yield "\n", token yield token.string, token elif is_string(token): # ignore docstring pass else: self.error( "Expecting module keyword, comment or docstrings " "inside a module definition.", token, ) class UseRule(GlobalKeywordState): subautomata = rule_property_subautomata def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.state_keyword_rule self.rules = [] self.has_with = False self.name_modifier = [] self.from_module = None self._with_block = [] self.lineno = self.snakefile.lines + 1 def end(self): name_modifier = "".join(self.name_modifier) if self.name_modifier else None yield "@workflow.userule(rules={!r}, from_module={!r}, name_modifier={!r}, lineno={})".format( self.rules, self.from_module, name_modifier, self.lineno ) yield "\n" # yield with block yield from self._with_block yield "@workflow.run" yield "\n" rulename = self.rules[0] if rulename == "*": rulename = "__allrules__" yield "def __userule_{}_{}():".format(self.from_module, rulename) # the end is detected. # So we can savely reset the indent to zero here self.indent = 0 yield "\n" yield INDENT * (self.effective_indent + 1) yield "pass" def state_keyword_rule(self, token): if is_name(token) and token.string == "rule": self.state = self.state_rules_rule yield from () else: self.error("Expecting keyword 'rule' after keyword 'use'", token) def state_rules_rule(self, token): if is_name(token): if token.string == "from" or token.string == "as" and not self.rules: self.error("Expecting rule names after 'use rule' statement.", token) self.rules.append(token.string) self.state = self.state_rules_comma_or_end yield from () elif is_op(token): if token.string == "*": self.rules.append(token.string) self.state = self.state_rules_end yield from () else: self.error( "Expecting rule name or '*' after 'use rule' statement.", token ) else: self.error( "Expecting rule listing (comma separated) after 'use rule' statement.", token, ) # TODO newline and parentheses handling def state_rules_end(self, token): if is_name(token) and token.string == "from": self.state = self.state_from yield from () else: self.error( "Expecting list of rules in 'use rule' statement to end with keyword 'from'.", token, ) def state_rules_comma_or_end(self, token): if is_name(token): if token.string == "from" or token.string == "as": if not self.rules: self.error( "Expecting rule names after 'use rule' statement.", token ) if token.string == "from": self.state = self.state_from else: self.state = self.state_as yield from () else: self.error( "Expecting list of rules in 'use rule' statement to end with keyword 'from'.", token, ) elif is_comma(token): self.state = self.state_rules_rule yield from () else: self.error( "Unexpected token in list of rules within 'use rule' statement.", token ) def state_from(self, token): if is_name(token): self.state = self.state_modifier self.from_module = token.string yield from () else: self.error( "Expecting module name after 'from' keyword in 'use rule' statement.", token, ) def state_modifier(self, token): if is_name(token): if token.string == "as" and not self.name_modifier: self.state = self.state_as yield from () elif token.string == "with": yield from self.handle_with(token) else: self.error( "Expecting at most one 'as' or 'with' statement, or the end of the line.", token, ) elif is_newline(token) or is_comment(token) or is_eof(token): # end of the statement, close block manually yield from self.block(token) else: self.error( "Expecting either 'as', 'with' or end of line in 'use rule' statement.", token, ) def handle_with(self, token): if "*" in self.rules: self.error( "Keyword 'with' in 'use rule' statement is not allowed in combination with rule pattern '*'.", token, ) self.has_with = True self.state = self.state_with yield from () def state_as(self, token): if is_name(token): if token.string != "with": self.name_modifier.append(token.string) yield from () else: yield from self.handle_with(token) elif is_op(token) and token.string == "*": self.name_modifier.append(token.string) yield from () elif is_newline(token) or is_comment(token) or is_eof(token): # end of the statement, close block manually yield from self.block(token) else: self.error( "Expecting rulename modifying pattern (e.g. modulename_*) after 'as' keyword.", token, ) def state_with(self, token): if is_colon(token): self.state = self.block yield from () else: self.error( "Expecting colon after 'with' keyword in 'use rule' statement.", token ) def block_content(self, token): if is_comment(token): yield "\n", token yield token.string, token elif is_name(token): try: self._with_block.extend(self.subautomaton(token.string).consume()) yield from () except KeyError: self.error( "Unexpected keyword {} in rule definition".format(token.string), token, ) except StopAutomaton as e: self.indentation(e.token) self.block(e.token) else: self.error( "Expecting a keyword or comment " "inside a 'use rule ... with:' statement.", token, ) @property def dedent(self): return self.indent class Python(TokenAutomaton): subautomata = dict( envvars=Envvars, include=Include, workdir=Workdir, configfile=Configfile, pepfile=Pepfile, pepschema=Pepschema, report=Report, ruleorder=Ruleorder, rule=Rule, checkpoint=Checkpoint, subworkflow=Subworkflow, localrules=Localrules, onsuccess=OnSuccess, onerror=OnError, onstart=OnStart, wildcard_constraints=GlobalWildcardConstraints, singularity=GlobalSingularity, container=GlobalContainer, containerized=GlobalContainerized, scattergather=Scattergather, module=Module, use=UseRule, ) def __init__(self, snakefile, base_indent=0, dedent=0, root=True): super().__init__(snakefile, base_indent=base_indent, dedent=dedent, root=root) self.state = self.python def python(self, token): if not (is_indent(token) or is_dedent(token)): if self.lasttoken is None or self.lasttoken.isspace(): try: for t in self.subautomaton(token.string).consume(): yield t except KeyError: yield token.string, token except StopAutomaton as e: self.indentation(e.token) for t in self.python(e.token): yield t else: yield token.string, token class Snakefile: def __init__(self, path, workflow, rulecount=0): self.path = path.get_path_or_uri() self.file = workflow.sourcecache.open(path) self.tokens = tokenize.generate_tokens(self.file.readline) self.rulecount = rulecount self.lines = 0 def __next__(self): return next(self.tokens) def __iter__(self): return self def __enter__(self): return self def __exit__(self, *args): self.file.close() def format_tokens(tokens): t_ = None for t in tokens: if t_ and not t.isspace() and not t_.isspace(): yield " " yield t t_ = t def parse(path, workflow, overwrite_shellcmd=None, rulecount=0): Shell.overwrite_cmd = overwrite_shellcmd with Snakefile(path, workflow, rulecount=rulecount) as snakefile: automaton = Python(snakefile) linemap = dict() compilation = list() for t, orig_token in automaton.consume(): l = lineno(orig_token) linemap.update( dict( (i, l) for i in range( snakefile.lines + 1, snakefile.lines + t.count("\n") + 1 ) ) ) snakefile.lines += t.count("\n") compilation.append(t) compilation = "".join(format_tokens(compilation)) if linemap: last = max(linemap) linemap[last + 1] = linemap[last] return compilation, linemap, snakefile.rulecount snakemake-6.15.1/snakemake/path_modifier.py000066400000000000000000000076431417574166400207170ustar00rootroot00000000000000__authors__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os from snakemake.exceptions import WorkflowError from snakemake.io import is_flagged, AnnotatedString, flag, get_flag_value PATH_MODIFIER_FLAG = "path_modified" class PathModifier: def __init__(self, replace_prefix: dict, prefix: str, workflow): self.skip_properties = set() self.workflow = workflow self.trie = None self.prefix = None assert not (prefix and replace_prefix) if prefix: if not prefix.endswith("/"): prefix += "/" self.prefix = prefix if replace_prefix: import datrie self.trie = datrie.Trie( "".join(set(char for prefix in replace_prefix for char in prefix)) ) for prefix, replacement in replace_prefix.items(): self.trie[prefix] = replacement def modify(self, path, property=None): if get_flag_value(path, PATH_MODIFIER_FLAG) is self: # Path has been modified before and is reused now, no need to modify again. return path modified_path = self.apply_default_remote(self.replace_prefix(path, property)) if modified_path == path: # nothing has changed return path # Important, update with previous flags in case of AnnotatedString #596 if hasattr(path, "flags"): if not hasattr(modified_path, "flags"): modified_path = AnnotatedString(modified_path) modified_path.flags.update(path.flags) # Flag the path as modified and return. modified_path = flag(modified_path, PATH_MODIFIER_FLAG, self) return modified_path def replace_prefix(self, path, property=None): if ( self.trie is None and self.prefix is None ) or property in self.skip_properties: # no replacement return path if self.trie is not None: prefixes = self.trie.prefix_items(str(path)) if len(prefixes) > 1: # ambiguous prefixes raise WorkflowError( "Multiple prefixes ({}) match the path {}. Make sure that the replace_prefix statement " "in your module definition does not yield ambiguous matches.".format( ", ".join(prefix[0] for prefix in prefixes), path ) ) elif prefixes: # replace prefix prefix, replacement = prefixes[0] return replacement + path[len(prefix) :] else: # no matching prefix return path # prefix case if os.path.isabs(path) or path.startswith(".."): # do not apply prefix if path is not within the workdir return path return self.prefix + path def apply_default_remote(self, path): """Apply the defined default remote provider to the given path and return the updated _IOFile. Asserts that default remote provider is defined. """ def is_annotated_callable(value): if isinstance(value, AnnotatedString): return bool(value.callable) if ( self.workflow.default_remote_provider is None or is_flagged(path, "remote_object") or is_flagged(path, "local") or is_annotated_callable(path) ): # no default remote needed return path # This will convert any AnnotatedString to str fullpath = "{}/{}".format(self.workflow.default_remote_prefix, path) fullpath = os.path.normpath(fullpath) remote = self.workflow.default_remote_provider.remote(fullpath) return remote @property def modifies_prefixes(self): return self.trie is not None snakemake-6.15.1/snakemake/persistence.py000077500000000000000000000377551417574166400204430ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import shutil import signal import marshal import pickle import json import time from base64 import urlsafe_b64encode, b64encode from functools import lru_cache, partial from itertools import filterfalse, count from pathlib import Path from snakemake.logging import logger from snakemake.jobs import jobfiles from snakemake.utils import listfiles class Persistence: def __init__( self, nolock=False, dag=None, conda_prefix=None, singularity_prefix=None, shadow_prefix=None, warn_only=False, ): self.path = os.path.abspath(".snakemake") if not os.path.exists(self.path): os.mkdir(self.path) self._lockdir = os.path.join(self.path, "locks") if not os.path.exists(self._lockdir): os.mkdir(self._lockdir) self.dag = dag self._lockfile = dict() self._metadata_path = os.path.join(self.path, "metadata") self._incomplete_path = os.path.join(self.path, "incomplete") self.conda_env_archive_path = os.path.join(self.path, "conda-archive") self.benchmark_path = os.path.join(self.path, "benchmarks") self.source_cache = os.path.join(self.path, "source_cache") if conda_prefix is None: self.conda_env_path = os.path.join(self.path, "conda") else: self.conda_env_path = os.path.abspath(os.path.expanduser(conda_prefix)) if singularity_prefix is None: self.container_img_path = os.path.join(self.path, "singularity") else: self.container_img_path = os.path.abspath( os.path.expanduser(singularity_prefix) ) if shadow_prefix is None: self.shadow_path = os.path.join(self.path, "shadow") else: self.shadow_path = os.path.join(shadow_prefix, "shadow") # place to store any auxiliary information needed during a run (e.g. source tarballs) self.aux_path = os.path.join(self.path, "auxiliary") # migration of .snakemake folder structure migration_indicator = Path( os.path.join(self._incomplete_path, "migration_underway") ) if ( os.path.exists(self._metadata_path) and not os.path.exists(self._incomplete_path) ) or migration_indicator.exists(): os.makedirs(self._incomplete_path, exist_ok=True) migration_indicator.touch() self.migrate_v1_to_v2() migration_indicator.unlink() self._incomplete_cache = None for d in ( self._metadata_path, self._incomplete_path, self.shadow_path, self.conda_env_archive_path, self.conda_env_path, self.container_img_path, self.aux_path, ): os.makedirs(d, exist_ok=True) if nolock: self.lock = self.noop self.unlock = self.noop if warn_only: self.lock = self.lock_warn_only self.unlock = self.noop self._read_record = self._read_record_cached def migrate_v1_to_v2(self): logger.info("Migrating .snakemake folder to new format...") i = 0 for path, _, filenames in os.walk(self._metadata_path): path = Path(path) for filename in filenames: with open(path / filename, "r") as f: try: record = json.load(f) except json.JSONDecodeError: continue # not a properly formatted JSON file if record.get("incomplete", False): target_path = Path(self._incomplete_path) / path.relative_to( self._metadata_path ) os.makedirs(target_path, exist_ok=True) shutil.copyfile( path / filename, target_path / filename, ) i += 1 # this can take a while for large folders... if (i % 10000) == 0 and i > 0: logger.info("{} files migrated".format(i)) logger.info("Migration complete") @property def files(self): if self._files is None: self._files = set(self.dag.output_files) return self._files @property def locked(self): inputfiles = set(self.all_inputfiles()) outputfiles = set(self.all_outputfiles()) if os.path.exists(self._lockdir): for lockfile in self._locks("input"): with open(lockfile) as lock: for f in lock: f = f.strip() if f in outputfiles: return True for lockfile in self._locks("output"): with open(lockfile) as lock: for f in lock: f = f.strip() if f in outputfiles or f in inputfiles: return True return False def lock_warn_only(self): if self.locked: logger.info( "Error: Directory cannot be locked. This usually " "means that another Snakemake instance is running on this directory. " "Another possibility is that a previous run exited unexpectedly." ) def lock(self): if self.locked: raise IOError("Another snakemake process " "has locked this directory.") self._lock(self.all_inputfiles(), "input") self._lock(self.all_outputfiles(), "output") def unlock(self, *args): logger.debug("unlocking") for lockfile in self._lockfile.values(): try: logger.debug("removing lock") os.remove(lockfile) except OSError as e: if e.errno != 2: # missing file raise e logger.debug("removed all locks") def cleanup_locks(self): shutil.rmtree(self._lockdir) def cleanup_metadata(self, path): self._delete_record(self._metadata_path, path) def cleanup_shadow(self): if os.path.exists(self.shadow_path): shutil.rmtree(self.shadow_path) os.mkdir(self.shadow_path) def conda_cleanup_envs(self): # cleanup envs in_use = set(env.hash[:8] for env in self.dag.conda_envs.values()) for d in os.listdir(self.conda_env_path): if len(d) >= 8 and d[:8] not in in_use: if os.path.isdir(os.path.join(self.conda_env_path, d)): shutil.rmtree(os.path.join(self.conda_env_path, d)) else: os.remove(os.path.join(self.conda_env_path, d)) # cleanup env archives in_use = set(env.content_hash for env in self.dag.conda_envs.values()) for d in os.listdir(self.conda_env_archive_path): if d not in in_use: shutil.rmtree(os.path.join(self.conda_env_archive_path, d)) def started(self, job, external_jobid=None): for f in job.output: self._record( self._incomplete_path, {"external_jobid": external_jobid}, f, ) def finished(self, job, keep_metadata=True): if not keep_metadata: for f in job.expanded_output: self._delete_record(self._incomplete_path, f) return version = str(job.rule.version) if job.rule.version is not None else None code = self._code(job.rule) input = self._input(job) log = self._log(job) params = self._params(job) shellcmd = job.shellcmd conda_env = self._conda_env(job) fallback_time = time.time() for f in job.expanded_output: rec_path = self._record_path(self._incomplete_path, f) starttime = os.path.getmtime(rec_path) if os.path.exists(rec_path) else None # Sometimes finished is called twice, if so, lookup the previous starttime if not os.path.exists(rec_path): starttime = self._read_record(self._metadata_path, f).get( "starttime", None ) endtime = f.mtime.local_or_remote() if f.exists else fallback_time self._record( self._metadata_path, { "version": version, "code": code, "rule": job.rule.name, "input": input, "log": log, "params": params, "shellcmd": shellcmd, "incomplete": False, "starttime": starttime, "endtime": endtime, "job_hash": hash(job), "conda_env": conda_env, "container_img_url": job.container_img_url, }, f, ) self._delete_record(self._incomplete_path, f) def cleanup(self, job): for f in job.expanded_output: self._delete_record(self._incomplete_path, f) self._delete_record(self._metadata_path, f) def incomplete(self, job): if self._incomplete_cache is None: self._cache_incomplete_folder() if self._incomplete_cache is False: # cache deactivated def marked_incomplete(f): return self._exists_record(self._incomplete_path, f) else: def marked_incomplete(f): rec_path = self._record_path(self._incomplete_path, f) return rec_path in self._incomplete_cache return any(map(lambda f: f.exists and marked_incomplete(f), job.output)) def _cache_incomplete_folder(self): self._incomplete_cache = { os.path.join(path, f) for path, dirnames, filenames in os.walk(self._incomplete_path) for f in filenames } def external_jobids(self, job): return list( set( self._read_record(self._incomplete_path, f).get("external_jobid", None) for f in job.output ) ) def metadata(self, path): return self._read_record(self._metadata_path, path) def version(self, path): return self.metadata(path).get("version") def rule(self, path): return self.metadata(path).get("rule") def input(self, path): return self.metadata(path).get("input") def log(self, path): return self.metadata(path).get("log") def shellcmd(self, path): return self.metadata(path).get("shellcmd") def params(self, path): return self.metadata(path).get("params") def code(self, path): return self.metadata(path).get("code") def version_changed(self, job, file=None): """Yields output files with changed versions of bool if file given.""" return _bool_or_gen(self._version_changed, job, file=file) def code_changed(self, job, file=None): """Yields output files with changed code of bool if file given.""" return _bool_or_gen(self._code_changed, job, file=file) def input_changed(self, job, file=None): """Yields output files with changed input of bool if file given.""" return _bool_or_gen(self._input_changed, job, file=file) def params_changed(self, job, file=None): """Yields output files with changed params of bool if file given.""" return _bool_or_gen(self._params_changed, job, file=file) def _version_changed(self, job, file=None): assert file is not None return self.version(file) != job.rule.version def _code_changed(self, job, file=None): assert file is not None return self.code(file) != self._code(job.rule) def _input_changed(self, job, file=None): assert file is not None return self.input(file) != self._input(job) def _params_changed(self, job, file=None): assert file is not None return self.params(file) != self._params(job) def noop(self, *args): pass def _b64id(self, s): return urlsafe_b64encode(str(s).encode()).decode() @lru_cache() def _code(self, rule): code = rule.run_func.__code__ return b64encode(pickle_code(code)).decode() @lru_cache() def _conda_env(self, job): if job.conda_env: return b64encode(job.conda_env.content).decode() @lru_cache() def _input(self, job): return sorted(job.input) @lru_cache() def _log(self, job): return sorted(job.log) @lru_cache() def _params(self, job): return sorted(map(repr, job.params)) @lru_cache() def _output(self, job): return sorted(job.output) def _record(self, subject, json_value, id): recpath = self._record_path(subject, id) os.makedirs(os.path.dirname(recpath), exist_ok=True) with open(recpath, "w") as f: json.dump(json_value, f) def _delete_record(self, subject, id): try: recpath = self._record_path(subject, id) os.remove(recpath) recdirs = os.path.relpath(os.path.dirname(recpath), start=subject) if recdirs != ".": os.removedirs(recdirs) except OSError as e: if e.errno != 2: # not missing raise e @lru_cache() def _read_record_cached(self, subject, id): return self._read_record_uncached(subject, id) def _read_record_uncached(self, subject, id): if not self._exists_record(subject, id): return dict() with open(self._record_path(subject, id), "r") as f: return json.load(f) def _exists_record(self, subject, id): return os.path.exists(self._record_path(subject, id)) def _locks(self, type): return ( f for f, _ in listfiles( os.path.join(self._lockdir, "{{n,[0-9]+}}.{}.lock".format(type)) ) if not os.path.isdir(f) ) def _lock(self, files, type): for i in count(0): lockfile = os.path.join(self._lockdir, "{}.{}.lock".format(i, type)) if not os.path.exists(lockfile): self._lockfile[type] = lockfile with open(lockfile, "w") as lock: print(*files, sep="\n", file=lock) return def _record_path(self, subject, id): max_len = ( os.pathconf(subject, "PC_NAME_MAX") if os.name == "posix" else 255 ) # maximum NTFS and FAT32 filename length if max_len == 0: max_len = 255 b64id = self._b64id(id) # split into chunks of proper length b64id = [b64id[i : i + max_len - 1] for i in range(0, len(b64id), max_len - 1)] # prepend dirs with @ (does not occur in b64) to avoid conflict with b64-named files in the same dir b64id = ["@" + s for s in b64id[:-1]] + [b64id[-1]] path = os.path.join(subject, *b64id) return path def all_outputfiles(self): # we only look at output files that will be updated return jobfiles(self.dag.needrun_jobs, "output") def all_inputfiles(self): # we consider all input files, also of not running jobs return jobfiles(self.dag.jobs, "input") def deactivate_cache(self): self._read_record_cached.cache_clear() self._read_record = self._read_record_uncached self._incomplete_cache = False def _bool_or_gen(func, job, file=None): if file is None: return (f for f in job.expanded_output if func(job, file=f)) else: return func(job, file=file) def pickle_code(code): consts = [ (pickle_code(const) if type(const) == type(code) else const) for const in code.co_consts ] return pickle.dumps((code.co_code, code.co_varnames, consts, code.co_names)) snakemake-6.15.1/snakemake/remote/000077500000000000000000000000001417574166400170145ustar00rootroot00000000000000snakemake-6.15.1/snakemake/remote/AzBlob.py000066400000000000000000000330271417574166400205440ustar00rootroot00000000000000"""Azure Blob Storage handling """ __author__ = "Sebastian Kurscheid" __copyright__ = "Copyright 2021, Sebastian Kurscheid" __email__ = "sebastian.kurscheid@anu.edu.au" __license__ = "MIT" # built-ins import os import re # snakemake specific # / # module specific from snakemake.exceptions import WorkflowError, AzureFileException from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider # service provider support try: from azure.storage.blob import BlobServiceClient import azure.core.exceptions except ImportError as e: raise WorkflowError( "The Python 3 package 'azure-storage-blob' " "need to be installed to use Azure Storage remote() file functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): supports_default = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self._as = AzureStorageHelper(*args, **kwargs) def remote_interface(self): return self._as @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "ab://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["ab://"] class RemoteObject(AbstractRemoteObject): def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) if provider: self._as = provider.remote_interface() else: self._as = AzureStorageHelper(*args, **kwargs) # === Implementations of abstract class members === def exists(self): if self._matched_as_path: return self._as.exists_in_container(self.container_name, self.blob_name) raise AzureFileException( "The file cannot be parsed as an Azure Blob path in form 'container/blob': %s" % self.local_file() ) def mtime(self): if self.exists(): # b = self.blob_service_client.get_blob_client(self.container_name, self.blob_name) # return b.get_blob_properties().last_modified t = self._as.blob_last_modified(self.container_name, self.blob_name) return t raise AzureFileException( "The file does not seem to exist remotely: %s" % self.local_file() ) def size(self): if self.exists(): return self._as.blob_size(self.container_name, self.blob_name) return self._iofile.size_local def download(self): if self.exists(): os.makedirs(os.path.dirname(self.local_file()), exist_ok=True) self._as.download_from_azure_storage( self.container_name, self.blob_name, destination_path=self.local_file() ) os.sync() return self.local_file() return None def upload(self): self._as.upload_to_azure_storage( container_name=self.container_name, blob_name=self.blob_name, file_path=self.local_file(), ) @property def list(self): return self._as.list_blobs(self.container_name) # # === Related methods === @property def _matched_as_path(self): return re.search( "(?P[^/]*)/(?P.*)", self.local_file() ) def as_create_stub(self): if self._matched_as_path: if not self.exists: self._as.download_from_azure_storage( self.container_name, self.blob_name, self.file, create_stub_only=True, ) else: raise AzureFileException( "The file to be downloaded cannot be parsed as an Azure Storage path in form 'container/blob': %s" % self.local_file() ) @property def container_name(self): "return container name component of the path" if len(self._matched_as_path.groups()) == 2: return self._matched_as_path.group("container_name") return None @property def name(self): return self.blob_name @property def blob_name(self): "return the blob name component of the path" if len(self._matched_as_path.groups()) == 2: return self._matched_as_path.group("blob_name") return None # Actual Azure specific functions, adapted from S3.py class AzureStorageHelper(object): def __init__(self, *args, **kwargs): if "stay_on_remote" in kwargs: del kwargs["stay_on_remote"] # if not handed down explicitely, try to read credentials from # environment variables. for (csavar, envvar) in [ ("account_url", "AZ_BLOB_ACCOUNT_URL"), ("credential", "AZ_BLOB_CREDENTIAL"), ]: if csavar not in kwargs and envvar in os.environ: kwargs[csavar] = os.environ.get(envvar) assert ( "account_url" in kwargs ), "Missing AZ_BLOB_ACCOUNT_URL env var (and possibly AZ_BLOB_CREDENTIAL)" # remove leading '?' from SAS if needed # if kwargs.get("sas_token", "").startswith("?"): # kwargs["sas_token"] = kwargs["sas_token"][1:] # by right only account_key or sas_token should be set, but we let # BlobServiceClient deal with the ambiguity self.blob_service_client = BlobServiceClient(**kwargs) def container_exists(self, container_name): return any( True for _ in self.blob_service_client.list_containers(container_name) ) def upload_to_azure_storage( self, container_name, file_path, blob_name=None, use_relative_path_for_blob_name=True, relative_start_dir=None, extra_args=None, ): """Upload a file to Azure Storage This function uploads a file to an Azure Storage Container as a blob. Args: container_name: the name of the Azure container to use file_path: The path to the file to upload. blob_name: The name to set for the blob on Azure. If not specified, this will default to the name of the file. Returns: The blob_name of the file on Azure if written, None otherwise """ file_path = os.path.realpath(os.path.expanduser(file_path)) assert container_name, "container_name must be specified" assert os.path.exists(file_path), ( "The file path specified does not exist: %s" % file_path ) assert os.path.isfile(file_path), ( "The file path specified does not appear to be a file: %s" % file_path ) container_client = self.blob_service_client.get_container_client(container_name) try: container_client.create_container() except azure.core.exceptions.ResourceExistsError: pass if not blob_name: if use_relative_path_for_blob_name: if relative_start_dir: path_blob_name = os.path.relpath(file_path, relative_start_dir) else: path_blob_name = os.path.relpath(file_path) else: path_blob_name = os.path.basename(file_path) blob_name = path_blob_name blob_client = container_client.get_blob_client(blob_name) # upload_blob fails, if blob exists if self.exists_in_container(container_name, blob_name): blob_client.delete_blob() try: with open(file_path, "rb") as data: blob_client.upload_blob(data, blob_type="BlockBlob") return blob_client.get_blob_properties().name except Exception as e: raise WorkflowError("Error in creating blob. %s" % str(e)) # return None def download_from_azure_storage( self, container_name, blob_name, destination_path=None, expandBlobNameIntoDirs=True, make_dest_dirs=True, create_stub_only=False, ): """Download a file from Azure Storage This function downloads an object from a specified Azure Storage container. Args: container_name: the name of the Azure Storage container to use (container name only) destination_path: If specified, the file will be saved to this path, otherwise cwd. expandBlobNameIntoDirs: Since Azure blob names can include slashes, if this is True (defult) then Azure blob names with slashes are expanded into directories on the receiving end. If it is False, the blob name is passed to os.path.basename() to get the substring following the last slash. make_dest_dirs: If this is True (default) and the destination path includes directories that do not exist, they will be created. Returns: The destination path of the downloaded file on the receiving end, or None if the destination_path could not be downloaded """ assert container_name, "container_name must be specified" assert blob_name, "blob_name must be specified" if destination_path: destination_path = os.path.realpath(os.path.expanduser(destination_path)) else: if expandBlobNameIntoDirs: destination_path = os.path.join(os.getcwd(), blob_name) else: destination_path = os.path.join( os.getcwd(), os.path.basename(blob_name) ) # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(destination_path), exist_ok=True) b = self.blob_service_client.get_blob_client(container_name, blob_name) if not create_stub_only: with open(destination_path, "wb") as my_blob: blob_data = b.download_blob() blob_data.readinto(my_blob) else: # just create an empty file with the right timestamps ts = b.get_blob_properties().last_modified.timestamp() with open(destination_path, "wb") as fp: os.utime(fp.name, (ts, ts)) return destination_path def delete_from_container(self, container_name, blob_name): """Delete a file from Azure Storage container This function deletes an object from a specified Azure Storage container. Args: container_name: the name of the Azure Storage container to use (container name only, not endpoint) blob_name: the name of the blob to delete from the container Returns: nothing """ assert container_name, "container_name must be specified" assert blob_name, "blob_name must be specified" b = self.blob_service_client.get_blob_client(container_name, blob_name) b.delete_blob() def exists_in_container(self, container_name, blob_name): """Returns whether the blob exists in the container Args: container_name: the name of the Azure Storage container (container name only, not endpoint) blob_name: the blob_name of the object to delete from the container Returns: True | False """ assert ( container_name ), 'container_name must be specified (did you try to write to "root" or forgot to set --default-remote-prefix?)' assert blob_name, "blob_name must be specified" cc = self.blob_service_client.get_container_client(container_name) return any(True for _ in cc.list_blobs(name_starts_with=blob_name)) def blob_size(self, container_name, blob_name): """Returns the size of a blob Args: container_name: the name of the Azure Storage container (container name only, not endpoint) blob_name: the blob_name of the object to delete from the container Returns: Size in kb """ assert container_name, "container_name must be specified" assert blob_name, "blob_name must be specified" b = self.blob_service_client.get_blob_client(container_name, blob_name) return b.get_blob_properties().size // 1024 def blob_last_modified(self, container_name, blob_name): """Returns a timestamp of a blob Args: container_name: the name of the Azure Storage container (container name only, not endpoint) blob_name: the blob_name of the object to delete from the container Returns: timestamp """ assert container_name, "container_name must be specified" assert blob_name, "blob_name must be specified" b = self.blob_service_client.get_blob_client(container_name, blob_name) return b.get_blob_properties().last_modified.timestamp() def list_blobs(self, container_name): """Returns a list of blobs from the container Args: container_name: the name of the Azure Storage container (container name only, not endpoint) Returns: list of blobs """ assert container_name, "container_name must be specified" c = self.blob_service_client.get_container_client(container_name) return [b.name for b in c.list_blobs()] snakemake-6.15.1/snakemake/remote/EGA.py000066400000000000000000000162131417574166400177650ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@tu-dortmund.de" __license__ = "MIT" import os import json import time import uuid from collections import namedtuple import hashlib import requests from requests.auth import HTTPBasicAuth from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import WorkflowError from snakemake.common import lazy_property EGAFileInfo = namedtuple("EGAFileInfo", ["size", "status", "id", "checksum"]) EGAFile = namedtuple("EGAFile", ["dataset", "path"]) class RemoteProvider(AbstractRemoteProvider): def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, retry=5, **kwargs ): super().__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self.retry = retry self._token = None self._expires = None self._file_cache = dict() def _login(self): if self._expires is not None and self._expires > time.time(): # token is still valid return # token will expire in 10 minutes # (we stop using it 10 seconds earlier to be sure) self._expires = time.time() + 10 * 60 * 60 - 10 data = { "grant_type": "password", "client_id": self._client_id(), "scope": "openid", "client_secret": self._client_secret(), "username": self._username(), "password": self._password(), } for i in range(3): try: r = requests.post( "https://ega.ebi.ac.uk:8443/ega-openid-connect-server/token", headers={"Content-Type": "application/x-www-form-urlencoded"}, data=data, ) except requests.exceptions.ConnectionError as e: time.sleep(5) if i == 2: raise WorkflowError("Error contacting EGA.", e) if r.status_code != 200: raise WorkflowError("Login to EGA failed with:\n{}".format(r.text)) r = r.json() # store session token try: self._token = r["access_token"] except KeyError: raise WorkflowError("Login to EGA failed:\n{}".format(r)) def _expire_token(self): self._expires = None @property def token(self): self._login() return self._token def api_request( self, url_suffix, url_prefix="https://ega.ebi.ac.uk:8051/elixir/", json=True, post=False, **params ): """Make an API request. Args: url_suffix (str): Part of REST API URL right of https://ega.ebi.ac.uk:8051/elixir/ params (dict): Parameters to pass, except session """ url = url_prefix + url_suffix headers = ( {"Accept": "application/json"} if json else {"Accept": "application/octet-stream"} ) headers["Authorization"] = "Bearer {}".format(self.token) for i in range(3): try: if post: r = requests.post( url, stream=not json, data=params, params={"session": self.token}, headers=headers, ) else: params = dict(params) params["session"] = self.token r = requests.get( url, stream=not json, params=params, headers=headers ) except requests.exceptions.ConnectionError as e: time.sleep(5) if i == 2: raise WorkflowError("Error contacting EGA.", e) if r.status_code != 200: raise WorkflowError( "Access to EGA API endpoint {} failed " "with:\n{}".format(url, r.text) ) if json: msg = r.json() return msg else: return r def get_files(self, dataset): if dataset not in self._file_cache: files = self.api_request( "data/metadata/datasets/{dataset}/files".format(dataset=dataset) ) self._file_cache[dataset] = { os.path.basename(f["fileName"])[:-4]: EGAFileInfo( int(f["fileSize"]), f["fileStatus"], f["fileId"], f["checksum"] ) for f in files } return self._file_cache[dataset] @property def default_protocol(self): return "ega://" @property def available_protocols(self): return ["ega://"] @classmethod def _username(cls): return cls._credentials("EGA_USERNAME") @classmethod def _password(cls): return cls._credentials("EGA_PASSWORD") @classmethod def _client_id(cls): return cls._credentials("EGA_CLIENT_ID") @classmethod def _client_secret(cls): return cls._credentials("EGA_CLIENT_SECRET") @classmethod def _credentials(cls, name): try: return os.environ[name] except KeyError: raise WorkflowError( "$EGA_USERNAME, $EGA_PASSWORD, $EGA_CLIENT_ID, " "$EGA_CLIENT_SECRET must be given " "as environment variables." ) class RemoteObject(AbstractRemoteObject): # === Implementations of abstract class members === def _stats(self): return self.provider.get_files(self.parts.dataset)[self.parts.path] def exists(self): return self.parts.path in self.provider.get_files(self.parts.dataset) def size(self): return self._stats().size def mtime(self): # There is no mtime info provided by EGA # Hence, the files are always considered to be "ancient". return 0 def download(self): stats = self._stats() r = self.provider.api_request( "data/files/{}?destinationFormat=plain".format(stats.id), json=False ) local_md5 = hashlib.md5() # download file in chunks and calculate md5 on the fly os.makedirs(os.path.dirname(self.local_file()), exist_ok=True) with open(self.local_file(), "wb") as f: for chunk in r.iter_content(chunk_size=1024 * 1024 * 10): local_md5.update(chunk) f.write(chunk) local_md5 = local_md5.hexdigest() if local_md5 != stats.checksum: raise WorkflowError( "File checksums do not match for: {}".format(self.remote_file()) ) @lazy_property def parts(self): parts = self.local_file().split("/") if parts[0] != "ega": raise WorkflowError( "Invalid EGA remote file name. Must be 'ega//'" ) _, dataset, path = self.local_file().split("/", 2) return EGAFile(dataset, path) snakemake-6.15.1/snakemake/remote/FTP.py000066400000000000000000000163551417574166400200310ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os import re import ftplib import collections from itertools import chain # module-specific from snakemake.remote import AbstractRemoteProvider, PooledDomainObject from snakemake.exceptions import FTPFileException, WorkflowError from snakemake.utils import os_sync try: # third-party modules import ftputil import ftputil.session except ImportError as e: raise WorkflowError( "The Python 3 package 'ftputil' " + "must be installed to use FTP remote() file functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): supports_default = True allows_directories = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "ftp://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["ftp://", "ftps://"] def remote(self, value, *args, encrypt_data_channel=None, **kwargs): if isinstance(value, str): values = [value] elif isinstance(value, collections.abc.Iterable): values = value else: raise TypeError( "Invalid type ({}) passed to remote: {}".format(type(value), value) ) for i, file in enumerate(values): match = re.match("^(ftps?)://.+", file) if match: (protocol,) = match.groups() if protocol == "ftps" and encrypt_data_channel in [None, False]: raise SyntaxError( "encrypt_data_channel=False cannot be used with a ftps:// url" ) if protocol == "ftp" and encrypt_data_channel not in [None, False]: raise SyntaxError( "encrypt_data_channel=True cannot be used with a ftp:// url" ) else: if encrypt_data_channel: values[i] = "ftps://" + file else: values[i] = "ftp://" + file values = [ super(RemoteProvider, self).remote( value, *args, encrypt_data_channel=encrypt_data_channel, **kwargs ) for value in values ] if len(values) == 1: return values[0] else: return values class RemoteObject(PooledDomainObject): """This is a class to interact with an FTP server.""" def __init__( self, *args, keep_local=False, provider=None, encrypt_data_channel=False, **kwargs ): # just save to kwargs, but leave in function def so it's explicit kwargs["encrypt_data_channel"] = encrypt_data_channel super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) # === Implementations of abstract class members === def get_default_kwargs(self, **defaults): """define defaults beyond thos set in PooledDomainObject""" return super().get_default_kwargs( **{"port": 21, "password": None, "username": None} ) @property def conn_keywords(self): """returns list of keywords relevant to a unique connection""" return ["host", "port", "username", "encrypt_data_channel"] def create_connection(self, *args_to_use, **kwargs_to_use): """create a connection to the FTP server using the saved arguments""" ftp_base_class = ( ftplib.FTP_TLS if kwargs_to_use["encrypt_data_channel"] else ftplib.FTP ) ftp_session_factory = ftputil.session.session_factory( base_class=ftp_base_class, port=kwargs_to_use["port"], encrypt_data_channel=kwargs_to_use["encrypt_data_channel"], debug_level=None, ) return ftputil.FTPHost( kwargs_to_use["host"], kwargs_to_use["username"], kwargs_to_use["password"], session_factory=ftp_session_factory, ) def close_connection(self, connection): """close an FTP connection""" connection.keep_alive() connection.close() def exists(self): if self._matched_address: with self.connection_pool.item() as ftpc: return ftpc.path.exists(self.remote_path) return False else: raise FTPFileException( "The file cannot be parsed as an FTP path in form 'host:port/abs/path/to/file': %s" % self.local_file() ) def mtime(self): if self.exists(): with self.connection_pool.item() as ftpc: try: # requires write access ftpc.synchronize_times() except: pass return ftpc.path.getmtime(self.remote_path) else: raise FTPFileException( "The file does not seem to exist remotely: %s" % self.local_file() ) def size(self): if self.exists(): with self.connection_pool.item() as ftpc: return ftpc.path.getsize(self.remote_path) else: return self._iofile.size_local def download(self, make_dest_dirs=True): with self.connection_pool.item() as ftpc: if self.exists(): # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) try: # requires write access ftpc.synchronize_times() except: pass ftpc.download(source=self.remote_path, target=self.local_path) os_sync() # ensure flush to disk else: raise FTPFileException( "The file does not seem to exist remotely: %s" % self.local_file() ) def upload(self): with self.connection_pool.item() as ftpc: ftpc.synchronize_times() ftpc.upload(source=self.local_path, target=self.remote_path) @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = first_wildcard.replace(self.path_prefix, "") with self.connection_pool.item() as ftpc: file_list = [ (os.path.join(dirpath, f) if dirpath != "." else f) for dirpath, dirnames, filenames in ftpc.walk(dirname) for f in chain(filenames, dirnames) ] file_list = [ file_path[1:] if file_path[0] == "/" else file_path for file_path in file_list ] return file_list snakemake-6.15.1/snakemake/remote/GS.py000066400000000000000000000257131417574166400177070ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@tu-dortmund.de" __license__ = "MIT" import base64 import os import re import struct import time from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import WorkflowError, CheckSumMismatchException from snakemake.common import lazy_property import snakemake.io from snakemake.utils import os_sync try: import google.cloud from google.cloud import storage from google.api_core import retry from google_crc32c import Checksum except ImportError as e: raise WorkflowError( "The Python 3 packages 'google-cloud-sdk' and `google-crc32c` " "need to be installed to use GS remote() file functionality. %s" % e.msg ) def google_cloud_retry_predicate(ex): """Given an exception from Google Cloud, determine if it's one in the listing of transient errors (determined by function google.api_core.retry.if_transient_error(exception)) or determine if triggered by a hash mismatch due to a bad download. This function will return a boolean to indicate if retry should be done, and is typically used with the google.api_core.retry.Retry as a decorator (predicate). Arguments: ex (Exception) : the exception passed from the decorated function Returns: boolean to indicate doing retry (True) or not (False) """ from requests.exceptions import ReadTimeout # Most likely case is Google API transient error. if retry.if_transient_error(ex): return True # Timeouts should be considered for retry as well. if isinstance(ex, ReadTimeout): return True # Could also be checksum mismatch of download. if isinstance(ex, CheckSumMismatchException): return True return False @retry.Retry(predicate=google_cloud_retry_predicate) def download_blob(blob, filename): """A helper function to download a storage Blob to a blob_file (the filename) and validate it using the Crc32cCalculator. Arguments: blob (storage.Blob) : the Google storage blob object blob_file (str) : the file path to download to Returns: boolean to indicate doing retry (True) or not (False) """ # create parent directories if necessary os.makedirs(os.path.dirname(filename), exist_ok=True) # ideally we could calculate hash while streaming to file with provided function # https://github.com/googleapis/python-storage/issues/29 with open(filename, "wb") as blob_file: parser = Crc32cCalculator(blob_file) blob.download_to_file(parser) os.sync() # **Important** hash can be incorrect or missing if not refreshed blob.reload() # Compute local hash and verify correct if parser.hexdigest() != blob.crc32c: os.remove(filename) raise CheckSumMismatchException("The checksum of %s does not match." % filename) return filename class Crc32cCalculator: """The Google Python client doesn't provide a way to stream a file being written, so we can wrap the file object in an additional class to do custom handling. This is so we don't need to download the file and then stream-read it again to calculate the hash. """ def __init__(self, fileobj): self._fileobj = fileobj self.checksum = Checksum() def write(self, chunk): self._fileobj.write(chunk) self._update(chunk) def _update(self, chunk): """Given a chunk from the read in file, update the hexdigest""" self.checksum.update(chunk) def hexdigest(self): """Return the hexdigest of the hasher. The Base64 encoded CRC32c is in big-endian byte order. See https://cloud.google.com/storage/docs/hashes-etags """ return base64.b64encode(self.checksum.digest()).decode("utf-8") class RemoteProvider(AbstractRemoteProvider): supports_default = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self.client = storage.Client(*args, **kwargs) def remote_interface(self): return self.client @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "gs://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["gs://"] class RemoteObject(AbstractRemoteObject): def __init__( self, *args, keep_local=False, provider=None, user_project=None, **kwargs ): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) if provider: self.client = provider.remote_interface() else: self.client = storage.Client(*args, **kwargs) # keep user_project available for when bucket is initialized self._user_project = user_project self._key = None self._bucket_name = None self._bucket = None self._blob = None async def inventory(self, cache: snakemake.io.IOCache): """Using client.list_blobs(), we want to iterate over the objects in the "folder" of a bucket and store information about the IOFiles in the provided cache (snakemake.io.IOCache) indexed by bucket/blob name. This will be called by the first mention of a remote object, and iterate over the entire bucket once (and then not need to again). This includes: - cache.exist_remote - cache_mtime - cache.size """ if cache.remaining_wait_time <= 0: # No more time to create inventory. return start_time = time.time() subfolder = os.path.dirname(self.blob.name) for blob in self.client.list_blobs(self.bucket_name, prefix=subfolder): # By way of being listed, it exists. mtime is a datetime object name = "{}/{}".format(blob.bucket.name, blob.name) cache.exists_remote[name] = True cache.mtime[name] = blob.updated.timestamp() cache.size[name] = blob.size cache.remaining_wait_time -= time.time() - start_time # Mark bucket and prefix as having an inventory, such that this method is # only called once for the subfolder in the bucket. cache.exists_remote.has_inventory.add("%s/%s" % (self.bucket_name, subfolder)) # === Implementations of abstract class members === def get_inventory_parent(self): return self.bucket_name @retry.Retry(predicate=google_cloud_retry_predicate) def exists(self): return self.blob.exists() def mtime(self): if self.exists(): self.update_blob() t = self.blob.updated return t.timestamp() else: raise WorkflowError( "The file does not seem to exist remotely: %s" % self.local_file() ) def size(self): if self.exists(): self.update_blob() return self.blob.size // 1024 else: return self._iofile.size_local @retry.Retry(predicate=google_cloud_retry_predicate, deadline=600) def download(self): """Download with maximum retry duration of 600 seconds (10 minutes)""" if not self.exists(): return None # Create just a directory, or a file itself if snakemake.io.is_flagged(self.local_file(), "directory"): return self._download_directory() return download_blob(self.blob, self.local_file()) @retry.Retry(predicate=google_cloud_retry_predicate) def _download_directory(self): """A 'private' function to handle download of a storage folder, which includes the content found inside. """ # Create the directory locally os.makedirs(self.local_file(), exist_ok=True) for blob in self.client.list_blobs(self.bucket_name, prefix=self.key): local_name = "{}/{}".format(blob.bucket.name, blob.name) # Don't try to create "directory blob" if os.path.exists(local_name) and os.path.isdir(local_name): continue download_blob(blob, local_name) # Return the root directory return self.local_file() @retry.Retry(predicate=google_cloud_retry_predicate) def upload(self): try: if not self.bucket.exists(): self.bucket.create() self.update_blob() # Distinguish between single file, and folder f = self.local_file() if os.path.isdir(f): # Ensure the "directory" exists self.blob.upload_from_string( "", content_type="application/x-www-form-urlencoded;charset=UTF-8" ) for root, _, files in os.walk(f): for filename in files: filename = os.path.join(root, filename) bucket_path = filename.lstrip(self.bucket.name).lstrip("/") blob = self.bucket.blob(bucket_path) blob.upload_from_filename(filename) else: self.blob.upload_from_filename(f) except google.cloud.exceptions.Forbidden as e: raise WorkflowError( e, "When running locally, make sure that you are authenticated " "via gcloud (see Snakemake documentation). When running in a " "kubernetes cluster, make sure that storage-rw is added to " "--scopes (see Snakemake documentation).", ) @property def name(self): return self.key @property def list(self): return [k.name for k in self.bucket.list_blobs()] # ========= Helpers =============== @retry.Retry(predicate=google_cloud_retry_predicate) def update_blob(self): self._blob = self.bucket.get_blob(self.key) @lazy_property def bucket(self): return self.client.bucket(self.bucket_name, user_project=self._user_project) @lazy_property def blob(self): return self.bucket.blob(self.key) @lazy_property def bucket_name(self): return self.parse().group("bucket") @property def key(self): key = self.parse().group("key") f = self.local_file() if snakemake.io.is_flagged(f, "directory"): key = key if f.endswith("/") else key + "/" return key def parse(self): m = re.search("(?P[^/]*)/(?P.*)", self.local_file()) if len(m.groups()) != 2: raise WorkflowError( "GS remote file {} does not have the form " "/.".format(self.local_file()) ) return m snakemake-6.15.1/snakemake/remote/HTTP.py000066400000000000000000000231111417574166400201430ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os import re import collections import shutil import email.utils from contextlib import contextmanager # module-specific from snakemake.remote import AbstractRemoteProvider, DomainObject from snakemake.exceptions import HTTPFileException, WorkflowError from snakemake.logging import logger from snakemake.utils import os_sync try: # third-party modules import requests except ImportError as e: raise WorkflowError( "The Python 3 package 'requests' " + "must be installed to use HTTP(S) remote() file functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "https://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["http://", "https://"] def remote(self, value, *args, insecure=None, **kwargs): if isinstance(value, str): values = [value] elif isinstance(value, collections.abc.Iterable): values = value else: raise TypeError( "Invalid type ({}) passed to remote: {}".format(type(value), value) ) for i, file in enumerate(values): match = re.match("^(https?)://.+", file) if match: (protocol,) = match.groups() if protocol == "https" and insecure: raise SyntaxError( "insecure=True cannot be used with a https:// url" ) if protocol == "http" and insecure not in [None, False]: raise SyntaxError( "insecure=False cannot be used with a http:// url" ) else: if insecure: values[i] = "http://" + file else: values[i] = "https://" + file return super(RemoteProvider, self).remote(values, *args, **kwargs) class RemoteObject(DomainObject): """This is a class to interact with an HTTP server.""" def __init__( self, *args, keep_local=False, provider=None, additional_request_string="", allow_redirects=True, **kwargs ): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, allow_redirects=allow_redirects, **kwargs ) self.additional_request_string = additional_request_string # === Implementations of abstract class members === @contextmanager # makes this a context manager. after 'yield' is __exit__() def httpr(self, verb="GET", stream=False): # if args have been provided to remote(), use them over those given to RemoteProvider() args_to_use = self.provider.args if len(self.args): args_to_use = self.args # use kwargs passed in to remote() to override those given to the RemoteProvider() # default to the host and port given as part of the file, falling back to one specified # as a kwarg to remote() or the RemoteProvider (overriding the latter with the former if both) kwargs_to_use = {} kwargs_to_use["username"] = None kwargs_to_use["password"] = None kwargs_to_use["auth"] = None for k, v in self.provider.kwargs.items(): kwargs_to_use[k] = v for k, v in self.kwargs.items(): kwargs_to_use[k] = v # Check that in case authentication kwargs are provided, they are either ("username", "password") combination # or "auth", but not both. if ( kwargs_to_use["username"] and kwargs_to_use["password"] and kwargs_to_use["auth"] ): raise TypeError( "Authentication accepts either username and password or requests.auth object" ) # If "username" and "password" kwargs are provided, use those to construct a tuple for "auth". Neither # requests.head() nor requests.get() accept them as-is. if kwargs_to_use["username"] and kwargs_to_use["password"]: kwargs_to_use["auth"] = ( kwargs_to_use["username"], kwargs_to_use["password"], ) # Delete "username" and "password" from kwargs del kwargs_to_use["username"] del kwargs_to_use["password"] url = self.remote_file() + self.additional_request_string if verb.upper() == "GET": r = requests.get(url, *args_to_use, stream=stream, **kwargs_to_use) if verb.upper() == "HEAD": r = requests.head(url, *args_to_use, **kwargs_to_use) yield r r.close() def exists(self): if self._matched_address: with self.httpr(verb="HEAD") as httpr: # if a file redirect was found if httpr.status_code in range(300, 308): raise HTTPFileException( "The file specified appears to have been moved (HTTP %s), check the URL or try adding 'allow_redirects=True' to the remote() file object: %s" % (httpr.status_code, httpr.url) ) return httpr.status_code == requests.codes.ok return False else: raise HTTPFileException( "The file cannot be parsed as an HTTP path in form 'host:port/abs/path/to/file': %s" % self.local_file() ) def mtime(self): if self.exists(): with self.httpr(verb="HEAD") as httpr: file_mtime = self.get_header_item(httpr, "last-modified", default=None) logger.debug("HTTP last-modified: {}".format(file_mtime)) epochTime = 0 if file_mtime is not None: modified_tuple = email.utils.parsedate_tz(file_mtime) if modified_tuple is None: logger.debug( "HTTP last-modified not in RFC2822 format: `{}`".format( file_mtime ) ) else: epochTime = email.utils.mktime_tz(modified_tuple) return epochTime else: raise HTTPFileException( "The file does not seem to exist remotely: %s" % self.remote_file() ) def size(self): if self.exists(): with self.httpr(verb="HEAD") as httpr: content_size = int( self.get_header_item(httpr, "content-size", default=0) ) return content_size else: return self._iofile.size_local def download(self, make_dest_dirs=True): with self.httpr(stream=True) as httpr: if self.exists(): # Find out if the source file is gzip compressed in order to keep # compression intact after the download. # Per default requests decompresses .gz files. # More detials can be found here: https://stackoverflow.com/questions/25749345/how-to-download-gz-files-with-requests-in-python-without-decoding-it?noredirect=1&lq=1 # Since data transferred with HTTP compression need to be decompressed automatically # check the header and decode if the content is encoded. if ( not self.name.endswith(".gz") and httpr.headers.get("Content-Encoding") == "gzip" ): # Decode non-gzipped sourcefiles automatically. # This is needed to decompress uncompressed files that are compressed # for the transfer by HTTP compression. httpr.raw.decode_content = True # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) with open(self.local_path, "wb") as f: shutil.copyfileobj(httpr.raw, f) os_sync() # ensure flush to disk else: raise HTTPFileException( "The file does not seem to exist remotely: %s" % self.remote_file() ) def upload(self): raise HTTPFileException( "Upload is not permitted for the HTTP remote provider. Is an output set to HTTP.remote()?" ) def get_header_item(self, httpr, header_name, default): """ Since HTTP header capitalization may differ, this returns a header value regardless of case """ header_value = default for k, v in httpr.headers.items(): if k.lower() == header_name: header_value = v return header_value @property def list(self): raise HTTPFileException( "The HTTP Remote Provider does not currently support list-based operations like glob_wildcards()." ) snakemake-6.15.1/snakemake/remote/NCBI.py000066400000000000000000000703671417574166400201160ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2017, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import time import os import re import json import logging import xml.etree.ElementTree as ET # module-specific from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import WorkflowError, NCBIFileException from snakemake.logging import logger try: # third-party modules from Bio import Entrez except ImportError as e: raise WorkflowError( "The Python package 'biopython' needs to be installed to use NCBI Entrez remote() file functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, email=None, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, email=email, **kwargs ) self._ncbi = NCBIHelper(*args, email=email, **kwargs) def remote_interface(self): return self._ncbi @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "ncbi://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["ncbi://"] def search( self, query, *args, db="nuccore", idtype="acc", retmode="json", **kwargs ): return list( self._ncbi.search( query, *args, db=db, idtype=idtype, retmode=retmode, **kwargs ) ) class RemoteObject(AbstractRemoteObject): """This is a class to interact with NCBI / GenBank.""" def __init__( self, *args, keep_local=False, stay_on_remote=False, provider=None, email=None, db=None, rettype=None, retmode=None, **kwargs ): super(RemoteObject, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, provider=provider, email=email, db=db, rettype=rettype, retmode=retmode, **kwargs ) if provider: self._ncbi = provider.remote_interface() else: self._ncbi = NCBIHelper(*args, email=email, **kwargs) if db and not self._ncbi.is_valid_db(db): raise NCBIFileException( "DB specified is not valid. Options include: {dbs}".format( dbs=", ".join(self._ncbi.valid_dbs) ) ) else: self.db = db self.rettype = rettype self.retmode = retmode self.kwargs = kwargs # === Implementations of abstract class members === def exists(self): if not self.retmode or not self.rettype: likely_request_options = self._ncbi.guess_db_options_for_extension( self.file_ext, db=self.db, rettype=self.rettype, retmode=self.retmode ) self.db = likely_request_options["db"] self.retmode = likely_request_options["retmode"] self.rettype = likely_request_options["rettype"] return self._ncbi.exists(self.accession, db=self.db) def mtime(self): if self.exists(): return self._ncbi.mtime(self.accession, db=self.db) else: raise NCBIFileException( "The record does not seem to exist remotely: %s" % self.accession ) def size(self): if self.exists(): return self._ncbi.size(self.accession, db=self.db) else: return self._iofile.size_local def download(self): if self.exists(): self._ncbi.fetch_from_ncbi( [self.accession], os.path.dirname(self.accession), rettype=self.rettype, retmode=self.retmode, file_ext=self.file_ext, db=self.db, **self.kwargs ) else: raise NCBIFileException( "The record does not seem to exist remotely: %s" % self.accession ) def upload(self): raise NCBIFileException( "Upload is not permitted for the NCBI remote provider. Is an output set to NCBI.RemoteProvider.remote()?" ) @property def list(self): raise NCBIFileException( "The NCBI Remote Provider does not currently support list-based operations like glob_wildcards()." ) @property def accession(self): accession, version, file_ext = self._ncbi.parse_accession_str(self.local_file()) return accession + "." + version @property def file_ext(self): accession, version, file_ext = self._ncbi.parse_accession_str(self.local_file()) return file_ext @property def version(self): accession, version, file_ext = self._ncbi.parse_accession_str(self.local_file()) return version class NCBIHelper(object): def __init__(self, *args, email=None, **kwargs): if not email: raise NCBIFileException( "An e-mail address must be provided to either the remote file or the RemoteProvider() as email=. The NCBI requires e-mail addresses for queries." ) self.email = email self.entrez = Entrez self.entrez.email = self.email self.entrez.tool = "Snakemake" # valid NCBI Entrez efetch options # via https://www.ncbi.nlm.nih.gov/books/NBK25499/table/chapter4.T._valid_values_of__retmode_and/?report=objectonly self.efetch_options = { "bioproject": [{"rettype": "xml", "retmode": "xml", "ext": "xml"}], "biosample": [ {"rettype": "full", "retmode": "xml", "ext": "xml"}, {"rettype": "full", "retmode": "text", "ext": "txt"}, ], "biosystems": [{"rettype": "xml", "retmode": "xml", "ext": "xml"}], "gds": [{"rettype": "summary", "retmode": "text", "ext": "txt"}], "gene": [ {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "null", "retmode": "xml", "ext": "xml"}, {"rettype": "gene_table", "retmode": "text", "ext": "gene_table"}, ], "homologene": [ {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "null", "retmode": "xml", "ext": "xml"}, { "rettype": "alignmentscores", "retmode": "text", "ext": "alignmentscores", }, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "homologene", "retmode": "text", "ext": "homologene"}, ], "mesh": [{"rettype": "full", "retmode": "text", "ext": "txt"}], "nlmcatalog": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "null", "retmode": "xml", "ext": "xml"}, ], "nuccore": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "native", "retmode": "xml", "ext": "xml"}, {"rettype": "acc", "retmode": "text", "ext": "acc"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "fasta", "retmode": "xml", "ext": "fasta.xml"}, {"rettype": "seqid", "retmode": "text", "ext": "seqid"}, {"rettype": "gb", "retmode": "text", "ext": "gb"}, {"rettype": "gb", "retmode": "xml", "ext": "gb.xml"}, {"rettype": "gbc", "retmode": "xml", "ext": "gbc"}, {"rettype": "ft", "retmode": "text", "ext": "ft"}, {"rettype": "gbwithparts", "retmode": "text", "ext": "gbwithparts"}, {"rettype": "fasta_cds_na", "retmode": "text", "ext": "fasta_cds_na"}, {"rettype": "fasta_cds_aa", "retmode": "text", "ext": "fasta_cds_aa"}, ], "nucest": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "native", "retmode": "xml", "ext": "xml"}, {"rettype": "acc", "retmode": "text", "ext": "acc"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "fasta", "retmode": "xml", "ext": "fasta.xml"}, {"rettype": "seqid", "retmode": "text", "ext": "seqid"}, {"rettype": "gb", "retmode": "text", "ext": "gb"}, {"rettype": "gb", "retmode": "xml", "ext": "gb.xml"}, {"rettype": "gbc", "retmode": "xml", "ext": "gbc"}, {"rettype": "est", "retmode": "text", "ext": "est"}, ], "nucgss": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "native", "retmode": "xml", "ext": "xml"}, {"rettype": "acc", "retmode": "text", "ext": "acc"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "fasta", "retmode": "xml", "ext": "fasta.xml"}, {"rettype": "seqid", "retmode": "text", "ext": "seqid"}, {"rettype": "gb", "retmode": "text", "ext": "gb"}, {"rettype": "gb", "retmode": "xml", "ext": "gb.xml"}, {"rettype": "gbc", "retmode": "xml", "ext": "gbc"}, {"rettype": "gss", "retmode": "text", "ext": "gss"}, ], "protein": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "native", "retmode": "xml", "ext": "xml"}, {"rettype": "acc", "retmode": "text", "ext": "acc"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "fasta", "retmode": "xml", "ext": "fasta.xml"}, {"rettype": "seqid", "retmode": "text", "ext": "seqid"}, {"rettype": "ft", "retmode": "text", "ext": "ft"}, {"rettype": "gp", "retmode": "text", "ext": "gp"}, {"rettype": "gp", "retmode": "xml", "ext": "gp.xml"}, {"rettype": "gpc", "retmode": "xml", "ext": "gpc"}, {"rettype": "ipg", "retmode": "xml", "ext": "xml"}, ], "popset": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "native", "retmode": "xml", "ext": "xml"}, {"rettype": "acc", "retmode": "text", "ext": "acc"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "fasta", "retmode": "xml", "ext": "fasta.xml"}, {"rettype": "seqid", "retmode": "text", "ext": "seqid"}, {"rettype": "gb", "retmode": "text", "ext": "gb"}, {"rettype": "gb", "retmode": "xml", "ext": "gb.xml"}, {"rettype": "gbc", "retmode": "xml", "ext": "gbc"}, ], "pmc": [ {"rettype": "null", "retmode": "xml", "ext": "xml"}, {"rettype": "medline", "retmode": "text", "ext": "medline"}, ], "pubmed": [ {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "null", "retmode": "xml", "ext": "xml"}, {"rettype": "medline", "retmode": "text", "ext": "medline"}, {"rettype": "uilist", "retmode": "text", "ext": "uilist"}, {"rettype": "abstract", "retmode": "text", "ext": "abstract"}, ], "sequences": [ {"rettype": "null", "retmode": "text", "ext": "txt"}, {"rettype": "acc", "retmode": "text", "ext": "acc"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "seqid", "retmode": "text", "ext": "seqid"}, ], "snp": [ {"rettype": "null", "retmode": "asn.1", "ext": "asn1"}, {"rettype": "null", "retmode": "xml", "ext": "xml"}, {"rettype": "flt", "retmode": "text", "ext": "flt"}, {"rettype": "fasta", "retmode": "text", "ext": "fasta"}, {"rettype": "rsr", "retmode": "text", "ext": "rsr"}, {"rettype": "ssexemplar", "retmode": "text", "ext": "ssexemplar"}, {"rettype": "chr", "retmode": "text", "ext": "chr"}, {"rettype": "docset", "retmode": "text", "ext": "docset"}, {"rettype": "uilist", "retmode": "text", "ext": "uilist"}, {"rettype": "uilist", "retmode": "xml", "ext": "uilist.xml"}, ], "sra": [{"rettype": "full", "retmode": "xml", "ext": "xml"}], "taxonomy": [ {"rettype": "null", "retmode": "xml", "ext": "xml"}, {"rettype": "uilist", "retmode": "text", "ext": "uilist"}, {"rettype": "uilist", "retmode": "xml", "ext": "uilist.xml"}, ], } @property def valid_extensions(self): extensions = set() for db, db_options in self.efetch_options.items(): for options in db_options: extensions |= set([options["ext"]]) return list(extensions) def dbs_for_options(self, file_ext, rettype=None, retmode=None): possible_dbs = set() for db, db_options in self.efetch_options.items(): for option_dict in db_options: if option_dict["ext"] == file_ext: if retmode and option_dict["retmode"] != retmode: continue if rettype and option_dict["rettype"] != rettype: continue possible_dbs |= set([db]) break return possible_dbs def options_for_db_and_extension(self, db, file_ext, rettype=None, retmode=None): possible_options = [] assert file_ext, "file_ext must be defined" if not self.is_valid_db(db): raise NCBIFileException( "DB specified is not valid. Options include: {dbs}".format( dbs=", ".join(self.valid_dbs) ) ) db_options = self.efetch_options[db] for opt in db_options: if file_ext == opt["ext"]: if retmode and opt["retmode"] != retmode: continue if rettype and opt["rettype"] != rettype: continue possible_options.append(opt) return possible_options def guess_db_options_for_extension( self, file_ext, db=None, rettype=None, retmode=None ): if db and rettype and retmode: if self.is_valid_db_request(db, rettype, retmode): request_options = {} request_options["db"] = db request_options["rettype"] = rettype request_options["retmode"] = retmode request_options["ext"] = file_ext return request_options possible_dbs = [db] if db else self.dbs_for_options(file_ext, rettype, retmode) if len(possible_dbs) > 1: raise NCBIFileException( 'Ambigious db for file extension specified: "{}"; possible databases include: {}'.format( file_ext, ", ".join(list(possible_dbs)) ) ) elif len(possible_dbs) == 1: likely_db = possible_dbs.pop() likely_options = self.options_for_db_and_extension( likely_db, file_ext, rettype, retmode ) if len(likely_options) == 1: request_options = {} request_options["db"] = likely_db request_options["rettype"] = likely_options[0]["rettype"] request_options["retmode"] = likely_options[0]["retmode"] request_options["ext"] = likely_options[0]["ext"] return request_options elif len(likely_options) > 1: raise NCBIFileException( "Please clarify the rettype and retmode. Multiple request types are possible for the file extension ({}) specified: {}".format( file_ext, likely_options ) ) else: raise NCBIFileException( "No request options found. Please check the file extension ({}), db ({}), rettype ({}), and retmode ({}) specified.".format( file_ext, db, rettype, retmode ) ) def is_valid_db_request(self, db, rettype, retmode): if not self.is_valid_db(db): raise NCBIFileException( "DB specified is not valid. Options include: {dbs}".format( dbs=", ".join(self.valid_dbs) ) ) db_options = self.efetch_options[db] for opt in db_options: if opt["rettype"] == rettype and opt["retmode"] == retmode: return True return False @property def valid_dbs(self): return self.efetch_options.keys() def is_valid_db(self, db): return db in self.valid_dbs def parse_accession_str(self, id_str): """ This tries to match an NCBI accession as defined here: https://www.ncbi.nlm.nih.gov/Sequin/acc.html """ m = re.search( r"(?P(?:[a-zA-Z]{1,6}|NW_|NC_|NM_|NR_)\d{1,10})(?:\.(?P\d+))?(?:\.(?P\S+))?.*", id_str, ) accession, version, file_ext = ("", "", "") if m: accession = m.group("accession") version = m.group("version") file_ext = m.group("file_ext") assert ( file_ext ), "file_ext must be defined: {}.{}.. Possible values include: {}".format( accession, version, ", ".join(list(self.valid_extensions)) ) assert version, "version must be defined: {}..{}".format( accession, file_ext ) return accession, version, file_ext @staticmethod def _seq_chunks(seq, n): # https://stackoverflow.com/a/312464/190597 (Ned Batchelder) """Yield successive n-sized chunks from seq.""" for i in range(0, len(seq), n): yield seq[i : i + n] def _esummary_and_parse( self, accession, xpath_selector, db="nuccore", return_type=int, raise_on_failure=True, retmode="xml", **kwargs ): result = self.entrez.esummary(db=db, id=accession, **kwargs) root = ET.fromstring(result.read()) nodes = root.findall(xpath_selector) retval = 0 if len(nodes): retval = return_type(nodes[0].text) else: if raise_on_failure: raise NCBIFileException("The esummary query failed.") return retval def exists(self, accession, db="nuccore"): result = self.entrez.esearch(db=db, term=accession, rettype="count") root = ET.fromstring(result.read()) nodes = root.findall(".//Count") count = 0 if len(nodes): count = int(nodes[0].text) else: raise NCBIFileException("The esummary query failed.") if count == 1: return True else: logger.warning( 'The accession specified, "{acc}", could not be found in the database "{db}".\nConsider if you may need to specify a different database via "db=".'.format( acc=accession, db=db ) ) return False def size(self, accession, db="nuccore"): return self._esummary_and_parse(accession, ".//*[@Name='Length']", db=db) def mtime(self, accession, db="nuccore"): update_date = self._esummary_and_parse( accession, ".//Item[@Name='UpdateDate']", db=db, return_type=str ) pattern = "%Y/%m/%d" epoch_update_date = int(time.mktime(time.strptime(update_date, pattern))) return epoch_update_date def fetch_from_ncbi( self, accession_list, destination_dir, force_overwrite=False, rettype="fasta", retmode="text", file_ext=None, combined_file_prefix=None, remove_separate_files=False, chunk_size=1, db="nuccore", **kwargs ): """ This function downloads and saves files from NCBI. Adapted in part from the BSD-licensed code here: https://github.com/broadinstitute/viral-ngs/blob/master/util/genbank.py """ max_chunk_size = 500 # Conform to NCBI retreival guidelines by chunking into 500-accession chunks if # >500 accessions are specified and chunk_size is set to 1 # Also clamp chunk size to 500 if the user specified a larger value. if chunk_size > max_chunk_size or ( len(accession_list) > max_chunk_size and chunk_size == 1 ): chunk_size = max_chunk_size outEx = {"fasta": "fasta", "ft": "tbl", "gb": "gbk"} output_directory = os.path.abspath(os.path.expanduser(destination_dir)) if not os.path.exists(output_directory): os.makedirs(output_directory) output_extension = str(file_ext) # ensure the extension starts with a ".", also allowing for passed-in # extensions that already have it if output_extension[:1] != ".": output_extension = "." + output_extension logger.info( "Fetching {} entries from NCBI: {}\n".format( str(len(accession_list)), ", ".join(accession_list[:10]) ) ) output_files = [] for chunk_num, chunk in enumerate(self._seq_chunks(accession_list, chunk_size)): # sleep to throttle requests to 2 per second per NCBI guidelines: # https://www.ncbi.nlm.nih.gov/books/NBK25497/#chapter2.Usage_Guidelines_and_Requiremen time.sleep(0.5) acc_string = ",".join(chunk) # if the filename would be longer than Linux allows, simply say "chunk-chunk_num" if len(acc_string) + len(output_extension) <= 254: output_file_path = os.path.join( output_directory, acc_string + output_extension ) else: output_file_path = os.path.join( output_directory, "chunk-{}".format(chunk_num) + output_extension ) if not force_overwrite: logger.info("not overwriting, checking for existence") assert not os.path.exists(output_file_path), ( """File %s already exists. Consider removing this file or specifying a different output directory. The files for the accessions specified can be overwritten if you add force_overwrite flag. Processing aborted.""" % output_file_path ) try_count = 1 while True: try: logger.info( "Fetching file {}: {}, try #{}".format( chunk_num + 1, acc_string, try_count ) ) handle = self.entrez.efetch( db=db, rettype=rettype, retmode=retmode, id=acc_string, **kwargs ) with open(output_file_path, "w") as outf: for line in handle: outf.write(line) output_files.append(output_file_path) except IOError: logger.warning( "Error fetching file {}: {}, try #{} probably because NCBI is too busy.".format( chunk_num + 1, acc_string, try_count ) ) try_count += 1 if try_count > 4: logger.warning("Tried too many times. Aborting.") raise # if the fetch failed, wait a few seconds and try again. logger.info("Waiting and retrying...") time.sleep(2) continue break # assert that we are not trying to remove the intermediate files without writing a combined file if remove_separate_files: assert combined_file_prefix, """The intermediate files can only be removed if a combined file is written via combined_file_prefix""" # build a path to the combined genome file if combined_file_prefix: concatenated_genome_file_path = os.path.join( output_directory, combined_file_prefix + output_extension ) if not force_overwrite: assert not os.path.exists(concatenated_genome_file_path), ( """File %s already exists. Consider removing this file or specifying a different output directory. The files for the accessions specified can be overwritten if you add force_overwrite flag. Processing aborted.""" % output_file_path ) # concatenate the files together into one genome file with open(concatenated_genome_file_path, "w") as outfile: for file_path in output_files: with open(file_path) as infile: for line in infile: outfile.write(line) # if the option is specified, remove the intermediate fasta files if remove_separate_files: while len(output_files) > 0: os.unlink(output_files.pop()) # add the combined file to the list of files returned output_files.append(concatenated_genome_file_path) # return list of files return output_files def search(self, query, *args, db="nuccore", idtype="acc", **kwargs): # enforce JSON return mode kwargs["retmode"] = "json" # if the user specifies retmax, use it and limit there # otherwise page 200 at a time and return all if "retmax" not in kwargs or not kwargs["retmax"]: kwargs["retmax"] = 100000 return_all = True else: return_all = False kwargs["retstart"] = kwargs.get("retstart", 0) def esearch_json(term, *args, **kwargs): handle = self.entrez.esearch(term=term, *args, **kwargs) json_result = json.loads(handle.read()) return json_result def result_ids(json): if ( "esearchresult" in json_results and "idlist" in json_results["esearchresult"] ): return json_results["esearchresult"]["idlist"] else: raise NCBIFileException("ESearch error") has_more = True while has_more: json_results = esearch_json( term=query, *args, db=db, idtype=idtype, **kwargs ) for acc in result_ids(json_results): yield acc if return_all and ( "count" in json_results["esearchresult"] and int(json_results["esearchresult"]["count"]) > kwargs["retmax"] + kwargs["retstart"] ): kwargs["retstart"] += kwargs["retmax"] # sleep to throttle requests to <2 per second per NCBI guidelines: # https://www.ncbi.nlm.nih.gov/books/NBK25497/#chapter2.Usage_Guidelines_and_Requiremen time.sleep(0.5) else: has_more = False snakemake-6.15.1/snakemake/remote/S3.py000066400000000000000000000306301417574166400176550ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os import re import math import functools import concurrent.futures # module-specific from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import WorkflowError, S3FileException from snakemake.utils import os_sync try: # third-party modules import boto3 import botocore except ImportError as e: raise WorkflowError( "The Python 3 package 'boto3' " "needs to be installed to use S3 remote() file functionality. %s" % e.msg ) class RemoteProvider( AbstractRemoteProvider ): # class inherits from AbstractRemoteProvider supports_default = True # class variable def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) # in addition to methods provided by AbstractRemoteProvider, we add these in self._s3c = S3Helper(*args, **kwargs) # _private variable by convention def remote_interface(self): return self._s3c @property # decorator, so that this function can be access as an attribute, instead of a method def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "s3://" @property # decorator, so that this function can be access as an attribute, instead of a method def available_protocols(self): """List of valid protocols for this remote provider.""" return ["s3://"] class RemoteObject(AbstractRemoteObject): """This is a class to interact with the AWS S3 object store.""" def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) if provider: self._s3c = provider.remote_interface() else: self._s3c = S3Helper(*args, **kwargs) # === Implementations of abstract class members === def exists(self): if self._matched_s3_path: return self._s3c.exists_in_bucket(self.s3_bucket, self.s3_key) else: raise S3FileException( "The file cannot be parsed as an s3 path in form 'bucket/key': %s" % self.local_file() ) def mtime(self): if self.exists(): return self._s3c.key_last_modified(self.s3_bucket, self.s3_key) else: raise S3FileException( "The file does not seem to exist remotely: %s" % self.local_file() ) def size(self): if self.exists(): return self._s3c.key_size(self.s3_bucket, self.s3_key) else: return self._iofile.size_local def download(self): self._s3c.download_from_s3(self.s3_bucket, self.s3_key, self.local_file()) os_sync() # ensure flush to disk def upload(self): self._s3c.upload_to_s3( self.s3_bucket, self.local_file(), self.s3_key, extra_args=self.kwargs.get("ExtraArgs", None), config=self.kwargs.get("Config", None), ) @property def list(self): return self._s3c.list_keys(self.s3_bucket) # === Related methods === @property def _matched_s3_path(self): return re.search("(?P[^/]*)/(?P.*)", self.local_file()) @property def s3_bucket(self): if len(self._matched_s3_path.groups()) == 2: return self._matched_s3_path.group("bucket") return None @property def name(self): return self.s3_key @property def s3_key(self): if len(self._matched_s3_path.groups()) == 2: return self._matched_s3_path.group("key") def s3_create_stub(self): if self._matched_s3_path: if not self.exists: self._s3c.download_from_s3( self.s3_bucket, self.s3_key, self.file, create_stub_only=True ) else: raise S3FileException( "The file to be downloaded cannot be parsed as an s3 path in form 'bucket/key': %s" % self.local_file() ) class S3Helper(object): def __init__(self, *args, **kwargs): # as per boto, expects the environment variables to be set: # AWS_ACCESS_KEY_ID # AWS_SECRET_ACCESS_KEY # Otherwise these values need to be passed in as kwargs # allow key_id and secret to be specified with aws_, gs_, or no prefix. # Standardize to the aws_ prefix expected by boto. if "gs_access_key_id" in kwargs: kwargs["aws_access_key_id"] = kwargs.pop("gs_access_key_id") if "gs_secret_access_key" in kwargs: kwargs["aws_secret_access_key"] = kwargs.pop("gs_secret_access_key") if "access_key_id" in kwargs: kwargs["aws_access_key_id"] = kwargs.pop("access_key_id") if "secret_access_key" in kwargs: kwargs["aws_secret_access_key"] = kwargs.pop("secret_access_key") if "host" in kwargs: kwargs["endpoint_url"] = kwargs.pop("host") self.s3 = boto3.resource("s3", **kwargs) def bucket_exists(self, bucket_name): try: self.s3.meta.client.head_bucket(Bucket=bucket_name) return True except: return False def upload_to_s3( self, bucket_name, file_path, key=None, use_relative_path_for_key=True, relative_start_dir=None, extra_args=None, config=None, ): """Upload a file to S3 This function uploads a file to an AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) file_path: The path to the file to upload. key: The key to set for the file on S3. If not specified, this will default to the name of the file. use_relative_path_for_key: If set to True (default), and key is None, the S3 key will include slashes representing the path of the file relative to the CWD. If False only the file basename will be used for the key. relative_start_dir: The start dir to use for use_relative_path_for_key. No effect if key is set. Returns: The key of the file on S3 if written, None otherwise """ file_path = os.path.realpath(os.path.expanduser(file_path)) assert bucket_name, "bucket_name must be specified" assert os.path.exists(file_path), ( "The file path specified does not exist: %s" % file_path ) assert os.path.isfile(file_path), ( "The file path specified does not appear to be a file: %s" % file_path ) if not self.bucket_exists(bucket_name): self.s3.create_bucket(Bucket=bucket_name) if not key: if use_relative_path_for_key: if relative_start_dir: path_key = os.path.relpath(file_path, relative_start_dir) else: path_key = os.path.relpath(file_path) else: path_key = os.path.basename(file_path) key = path_key k = self.s3.Object(bucket_name, key) try: k.upload_file(file_path, ExtraArgs=extra_args, Config=config) except: raise def download_from_s3( self, bucket_name, key, destination_path=None, expandKeyIntoDirs=True, make_dest_dirs=True, create_stub_only=False, ): """Download a file from s3 This function downloads an object from a specified AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) destination_path: If specified, the file will be saved to this path, otherwise cwd. expandKeyIntoDirs: Since S3 keys can include slashes, if this is True (defult) then S3 keys with slashes are expanded into directories on the receiving end. If it is False, the key is passed to os.path.basename() to get the substring following the last slash. make_dest_dirs: If this is True (default) and the destination path includes directories that do not exist, they will be created. Returns: The destination path of the downloaded file on the receiving end, or None if the destination_path could not be downloaded """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" if destination_path: destination_path = os.path.realpath(os.path.expanduser(destination_path)) else: if expandKeyIntoDirs: destination_path = os.path.join(os.getcwd(), key) else: destination_path = os.path.join(os.getcwd(), os.path.basename(key)) # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(destination_path), exist_ok=True) k = self.s3.Object(bucket_name, key) try: if not create_stub_only: k.download_file(destination_path) else: # just create an empty file with the right timestamps with open(destination_path, "wb") as fp: os.utime( fp.name, (k.last_modified.timestamp(), k.last_modified.timestamp()), ) return destination_path except: raise S3FileException( "Error downloading file '%s' from bucket '%s'." % (key, bucket_name) ) def delete_from_bucket(self, bucket_name, key): """Delete a file from s3 This function deletes an object from a specified AWS S3 bucket. Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket Returns: The name of the object deleted """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" k = self.s3.Object(bucket_name, key) ret = k.delete() return ret.name def exists_in_bucket(self, bucket_name, key): """Returns whether the key exists in the bucket Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket Returns: True | False """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" try: self.s3.Object(bucket_name, key).load() except botocore.exceptions.ClientError as e: if e.response["Error"]["Code"] == "404": return False else: raise return True def key_size(self, bucket_name, key): """Returns the size of a key based on a HEAD request Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket Returns: Size in kb """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" k = self.s3.Object(bucket_name, key) return k.content_length // 1024 def key_last_modified(self, bucket_name, key): """Returns a timestamp of a key based on a HEAD request Args: bucket_name: the name of the S3 bucket to use (bucket name only, not ARN) key: the key of the object to delete from the bucket Returns: timestamp """ assert bucket_name, "bucket_name must be specified" assert key, "Key must be specified" k = self.s3.Object(bucket_name, key) return k.last_modified.timestamp() def list_keys(self, bucket_name): b = self.s3.Bucket(bucket_name) return [o.key for o in b.objects.iterator()] snakemake-6.15.1/snakemake/remote/S3Mocked.py000066400000000000000000000104651417574166400210040ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os, sys from contextlib import contextmanager import pickle import time import threading import functools # intra-module from snakemake.remote.S3 import ( RemoteObject as S3RemoteObject, RemoteProvider as S3RemoteProvider, ) from snakemake.remote.S3 import S3Helper from snakemake.decorators import dec_all_methods from snakemake.exceptions import WorkflowError try: # third-party import boto3 from moto import mock_s3 except ImportError as e: raise WorkflowError( "The Python 3 packages 'moto' and boto3' " + "need to be installed to use S3Mocked remote() file functionality. %s" % e.msg ) def noop(): pass def pickled_moto_wrapper(func): """ This is a class decorator that in turn decorates all methods within a class to mock out boto calls with moto-simulated ones. Since the moto backends are not persistent across calls by default, the wrapper also pickles the bucket state after each function call, and restores it before execution. This way uploaded files are available for follow-on tasks. Since snakemake may execute with multiple threads it also waits for the pickled bucket state file to be available before loading it in. This is a hackey alternative to using proper locks, but works ok in practice. """ def wrapper_func(self, *args, **kwargs): moto_context_file = "motoState.p" moto_context = mock_s3() moto_context.start() moto_context.backends["global"].reset = noop # load moto buckets from pickle if os.path.isfile(moto_context_file) and os.path.getsize(moto_context_file) > 0: with file_lock(moto_context_file): with open(moto_context_file, "rb") as f: moto_context.backends["global"].buckets = pickle.load(f) mocked_function = moto_context(func) retval = mocked_function(self, *args, **kwargs) with file_lock(moto_context_file): with open(moto_context_file, "wb") as f: pickle.dump(moto_context.backends["global"].buckets, f) moto_context.stop() return retval functools.update_wrapper(wrapper_func, func) wrapper_func.__wrapped__ = func return wrapper_func @dec_all_methods(pickled_moto_wrapper, prefix=None) class RemoteProvider(S3RemoteProvider): supports_default = True def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) @dec_all_methods(pickled_moto_wrapper, prefix=None) class RemoteObject(S3RemoteObject): """ This is a derivative of the S3 remote provider that mocks out boto-based S3 calls using the "moto" Python package. Only the initializer is different; it "uploads" the input test file to the moto-simulated bucket at the start. """ def __init__( self, *args, keep_local=False, stay_on_remote=False, provider=None, **kwargs ): super(RemoteObject, self).__init__( *args, keep_local=keep_local, stay_on_remote=False, provider=provider, **kwargs ) bucket_name = "test-remote-bucket" test_file = "test.txt" s3 = boto3.resource("s3") s3.create_bucket(Bucket=bucket_name) # "Upload" files that should be in S3 before tests... s3c = S3Helper() if not s3c.exists_in_bucket(bucket_name, test_file): s3c.upload_to_s3(bucket_name, test_file) # ====== Helpers ===== def touch(fname, mode=0o666, dir_fd=None, **kwargs): # create lock file faster # https://stackoverflow.com/a/1160227 flags = os.O_CREAT | os.O_APPEND with os.fdopen(os.open(fname, flags=flags, mode=mode, dir_fd=dir_fd)) as f: os.utime( f.fileno() if os.utime in os.supports_fd else fname, dir_fd=None if os.supports_fd else dir_fd, **kwargs ) @contextmanager def file_lock(filepath): lock_file = filepath + ".lock" while os.path.isfile(lock_file): time.sleep(2) touch(lock_file) try: yield finally: try: os.remove(lock_file) except OSError: pass snakemake-6.15.1/snakemake/remote/SFTP.py000066400000000000000000000135421417574166400201470ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os # module-specific from snakemake.remote import AbstractRemoteProvider, PooledDomainObject from snakemake.exceptions import SFTPFileException, WorkflowError from snakemake.utils import os_sync try: # third-party modules import pysftp except ImportError as e: raise WorkflowError( "The Python 3 package 'pysftp' " + "must be installed to use SFTP remote() file functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): supports_default = True allows_directories = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, mkdir_remote=True, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self.mkdir_remote = mkdir_remote @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "sftp://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["ssh://", "sftp://"] class RemoteObject(PooledDomainObject): """This is a class to interact with an SFTP server.""" def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) def get_default_kwargs(self, **defaults): """define defaults beyond those set in PooledDomainObject""" return super().get_default_kwargs( **{ "port": 22, } ) def create_connection(self, *args_to_use, **kwargs_to_use): """open an SFTP connection""" return pysftp.Connection(*args_to_use, **kwargs_to_use) def close_connection(self, connection): """close an SFTP connection""" connection.close() # === Implementations of abstract class members === def exists(self): if self._matched_address: with self.connection_pool.item() as sftpc: return sftpc.exists(self.remote_path) return False else: raise SFTPFileException( "The file cannot be parsed as an SFTP path in form 'host:port/path/to/file': %s" % self.local_file() ) def mtime(self): if self.exists(): with self.connection_pool.item() as sftpc: # As per local operation, don't follow symlinks when reporting mtime attr = sftpc.lstat(self.remote_path) return int(attr.st_mtime) else: raise SFTPFileException( "The file does not seem to exist remotely: %s" % self.local_file() ) def is_newer(self, time): """Returns true if the file is newer than time, or if it is a symlink that points to a file newer than time.""" with self.connection_pool.item() as sftpc: return ( sftpc.stat(self.remote_path).st_mtime > time or sftpc.lstat(self.remote_path).st_mtime > time ) def size(self): if self.exists(): with self.connection_pool.item() as sftpc: attr = sftpc.stat(self.remote_path) return int(attr.st_size) else: return self._iofile.size_local def download(self, make_dest_dirs=True): with self.connection_pool.item() as sftpc: if self.exists(): # if the destination path does not exist if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) sftpc.get( remotepath=self.remote_path, localpath=self.local_path, preserve_mtime=True, ) os_sync() # ensure flush to disk else: raise SFTPFileException( "The file does not seem to exist remotely: %s" % self.local_file() ) def mkdir_remote_path(self): remote_dir = os.path.dirname(self.remote_path) list_remote_dir = [] while True: remote_dir, base = os.path.split(remote_dir) if not base and remote_dir: list_remote_dir.insert(0, remote_dir) break list_remote_dir.insert(0, base) with self.connection_pool.item() as sftpc: for part in list_remote_dir: try: sftpc.chdir(part) except IOError: sftpc.mkdir(part) sftpc.chdir(part) def upload(self): if self.provider.mkdir_remote: self.mkdir_remote_path() with self.connection_pool.item() as sftpc: sftpc.put( localpath=self.local_path, remotepath=self.remote_path, confirm=True, preserve_mtime=True, ) @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = first_wildcard.replace(self.path_prefix, "") with self.connection_pool.item() as sftpc: def _append_item(file_path): file_path = file_path.lstrip("/") file_list.append(file_path) sftpc.walktree( dirname, fcallback=_append_item, dcallback=_append_item, ucallback=_append_item, ) return file_list snakemake-6.15.1/snakemake/remote/XRootD.py000066400000000000000000000215341417574166400205520ustar00rootroot00000000000000__author__ = "Chris Burr" __copyright__ = "Copyright 2017, Chris Burr" __email__ = "christopher.burr@cern.ch" __license__ = "MIT" import os from os.path import abspath, join, normpath import re from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import WorkflowError, XRootDFileException try: from XRootD import client from XRootD.client.flags import DirListFlags, MkDirFlags, StatInfoFlags except ImportError as e: raise WorkflowError( "The Python 3 package 'XRootD' must be installed to use XRootD " "remote() file functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): supports_default = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs, ) self._xrd = XRootDHelper() def remote_interface(self): return self._xrd @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "root://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["root://", "roots://", "rootk://"] class RemoteObject(AbstractRemoteObject): """This is a class to interact with XRootD servers.""" def __init__( self, *args, keep_local=False, stay_on_remote=False, provider=None, **kwargs ): super(RemoteObject, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, provider=provider, **kwargs, ) if provider: self._xrd = provider.remote_interface() else: self._xrd = XRootDHelper() # === Implementations of abstract class members === def exists(self): return self._xrd.exists(self.remote_file()) def mtime(self): if self.exists(): return self._xrd.file_last_modified(self.remote_file()) else: raise XRootDFileException( "The file does not seem to exist remotely: %s" % self.remote_file() ) def size(self): if self.exists(): return self._xrd.file_size(self.remote_file()) else: return self._iofile.size_local def download(self): assert not self.stay_on_remote self._xrd.copy(self.remote_file(), self.file()) def upload(self): assert not self.stay_on_remote self._xrd.copy(self.file(), self.remote_file()) @property def name(self): return self.local_file() @property def list(self): dirname = os.path.dirname(self._iofile.constant_prefix()) + "/" files = list(self._xrd.list_directory_recursive(dirname)) return [normpath(f) for f in files] def remove(self): self._xrd.remove(self.remote_file()) class XRootDHelper(object): def __init__(self): self._clients = {} def get_client(self, domain): try: return self._clients[domain] except KeyError: self._clients[domain] = client.FileSystem(domain) return self._clients[domain] def _parse_url(self, url): match = re.search( "(?P(?:[A-Za-z]+://)[A-Za-z0-9:@\_\-\.]+\:?/)(?P.+)", url ) if match is None: return None domain = match.group("domain") dirname, filename = os.path.split(match.group("path")) # We need a trailing / to keep XRootD happy dirname += "/" # and also make sure we supply a non-relative path # (snakemake removes double-slash // characters) if not dirname.startswith("/"): dirname = "/" + dirname return domain, dirname, filename def exists(self, url): domain, dirname, filename = self._parse_url(url) status, dirlist = self.get_client(domain).dirlist(dirname) if not status.ok: if status.errno == 3011: return False else: raise XRootDFileException( "Error listing directory " + dirname + " on domain " + domain + "\n" + repr(status) + "\n" + repr(dirlist) ) return filename in [f.name for f in dirlist.dirlist] def _get_statinfo(self, url): domain, dirname, filename = self._parse_url(url) matches = [ f for f in self.list_directory(domain, dirname) if f.name == filename ] assert len(matches) > 0 if len(matches) > 1: # -- check matches for consistency # There is a transient effect in XRootD # where a file may match more than once. # This is okay as long as the statinfo # is the same for all of them. relevant_properties = [ # we only need to check front-facing attributes x for x in dir(matches[0].statinfo) if not (x[:1] == "_" or x[-2:] == "__") ] assert all( getattr(m.statinfo, p) == getattr(matches[0].statinfo, p) for m in matches[1:] for p in relevant_properties ) return matches[0].statinfo def file_last_modified(self, filename): return self._get_statinfo(filename).modtime def file_size(self, filename): return self._get_statinfo(filename).size def copy(self, source, destination): # Prepare the source path for XRootD if not self._parse_url(source): source = abspath(source) else: domain, dirname, filename = self._parse_url(source) source = f"{domain}/{dirname}/{filename}" # Prepare the destination path for XRootD assert os.path.basename(source) == os.path.basename(destination) if self._parse_url(destination): domain, dirname, filename = self._parse_url(destination) destination = f"{domain}/{dirname}/{filename}" self.makedirs(domain, dirname) else: destination = abspath(destination) if not os.path.isdir(os.path.dirname(destination)): os.makedirs(os.path.dirname(destination)) # Perform the copy operation process = client.CopyProcess() process.add_job(source, destination, force=True) process.prepare() status, returns = process.run() if not status.ok or not returns[0]["status"].ok: raise XRootDFileException( "Error copying from " + source + " to " + destination, repr(status), repr(returns), ) def makedirs(self, domain, dirname): print("Making directories", domain, dirname) assert dirname.endswith("/") status, _ = self.get_client(domain).mkdir(dirname, MkDirFlags.MAKEPATH) if not status.ok: raise XRootDFileException( "Failed to create directory " + dirname, repr(status) ) def list_directory(self, domain, dirname): status, dirlist = self.get_client(domain).dirlist(dirname, DirListFlags.STAT) if not status.ok: raise XRootDFileException( "Error listing directory " + dirname + " on domain " + domain + "\n" + repr(status) + "\n" + repr(dirlist) ) return dirlist.dirlist def list_directory_recursive(self, start_url): assert start_url.endswith("/") domain, dirname, filename = self._parse_url(start_url) assert not filename filename = join(dirname, filename) for f in self.list_directory(domain, dirname): if f.statinfo.flags & StatInfoFlags.IS_DIR: for _f_name in self.list_directory_recursive( domain + dirname + f.name + "/" ): yield _f_name else: # Only yield files as directories don't have timestamps on XRootD yield domain + dirname + f.name def remove(self, url): domain, dirname, filename = self._parse_url(url) filename = join(dirname, filename) status, _ = self.get_client(domain).rm(filename) if not status.ok: raise XRootDFileException( "Failed to remove file " + filename + " from remote " + domain + "\n" + repr(status) ) snakemake-6.15.1/snakemake/remote/__init__.py000066400000000000000000000350311417574166400211270ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os import sys import re from functools import partial from abc import ABCMeta, abstractmethod from wrapt import ObjectProxy from contextlib import contextmanager try: from connection_pool import ConnectionPool except ImportError: # we just won't pool connections if it's not installed # Should there be a warning? Should there be a runtime flag? pass import copy import collections # module-specific import snakemake.io from snakemake.logging import logger from snakemake.common import parse_uri class StaticRemoteObjectProxy(ObjectProxy): """Proxy that implements static-ness for remote objects. The constructor takes a real RemoteObject and returns a proxy that behaves the same except for the exists() and mtime() methods. """ def exists(self): return True def mtime(self): return float("-inf") def is_newer(self, time): return False def __copy__(self): copied_wrapped = copy.copy(self.__wrapped__) return type(self)(copied_wrapped) def __deepcopy__(self): copied_wrapped = copy.deepcopy(self.__wrapped__) return type(self)(copied_wrapped) class AbstractRemoteProvider: """This is an abstract class to be used to derive remote provider classes. These might be used to hold common credentials, and are then passed to RemoteObjects. """ __metaclass__ = ABCMeta supports_default = False allows_directories = False def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): self.args = args self.stay_on_remote = stay_on_remote self.keep_local = keep_local self.is_default = is_default self.kwargs = kwargs def remote( self, value, *args, keep_local=None, stay_on_remote=None, static=False, **kwargs ): if snakemake.io.is_flagged(value, "temp"): raise SyntaxError("Remote and temporary flags are mutually exclusive.") if snakemake.io.is_flagged(value, "protected"): raise SyntaxError("Remote and protected flags are mutually exclusive.") if keep_local is None: keep_local = self.keep_local if stay_on_remote is None: stay_on_remote = self.stay_on_remote def _set_protocol(value): """Adds the default protocol to `value` if it doesn't already have one""" protocol = self.default_protocol for p in self.available_protocols: if value.startswith(p): value = value[len(p) :] protocol = p break return protocol, value if isinstance(value, str): protocol, value = _set_protocol(value) value = protocol + value if stay_on_remote else value else: protocol, value = list(zip(*[_set_protocol(v) for v in value])) if len(set(protocol)) != 1: raise SyntaxError("A single protocol must be used per RemoteObject") protocol = set(protocol).pop() value = [protocol + v if stay_on_remote else v for v in value] if "protocol" not in kwargs: if "protocol" not in self.kwargs: kwargs["protocol"] = protocol else: kwargs["protocol"] = self.kwargs["protocol"] provider = sys.modules[self.__module__] # get module of derived class remote_object = provider.RemoteObject( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, provider=self, **kwargs, ) if static: remote_object = StaticRemoteObjectProxy(remote_object) return snakemake.io.flag(value, "remote_object", remote_object) def glob_wildcards(self, pattern, *args, **kwargs): args = self.args if not args else args kwargs = self.kwargs if not kwargs else kwargs referenceObj = snakemake.io._IOFile(self.remote(pattern, *args, **kwargs)) remote_object = snakemake.io.get_flag_value(referenceObj, "remote_object") if not remote_object.stay_on_remote: pattern = "./" + remote_object.name pattern = os.path.normpath(pattern) key_list = [k for k in remote_object.list] return snakemake.io.glob_wildcards(pattern, files=key_list) @abstractmethod def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" pass @abstractmethod def available_protocols(self): """List of valid protocols for this remote provider.""" pass @abstractmethod def remote_interface(self): pass class AbstractRemoteObject: """This is an abstract class to be used to derive remote object classes for different cloud storage providers. For example, there could be classes for interacting with Amazon AWS S3 and Google Cloud Storage, both derived from this common base class. """ __metaclass__ = ABCMeta def __init__( self, *args, protocol=None, keep_local=False, stay_on_remote=False, provider=None, **kwargs, ): assert protocol is not None # self._iofile must be set before the remote object can be used, in io.py or elsewhere self._iofile = None self.args = args self.kwargs = kwargs self.keep_local = keep_local self.stay_on_remote = stay_on_remote self.provider = provider self.protocol = protocol async def inventory(self, cache: snakemake.io.IOCache): """From this file, try to find as much existence and modification date information as possible. """ # If this is implemented in a remote object, results have to be stored in # the given IOCache object. pass @abstractmethod def get_inventory_parent(self): pass @property def _file(self): if self._iofile is None: return None return self._iofile._file def file(self): return self._file def local_file(self): if self.stay_on_remote: return self._file[len(self.protocol) :] else: return self._file def remote_file(self): return self.protocol + self.local_file() @abstractmethod def close(self): pass @abstractmethod def exists(self): pass @abstractmethod def mtime(self): pass @abstractmethod def size(self): pass @abstractmethod def download(self, *args, **kwargs): pass @abstractmethod def upload(self, *args, **kwargs): pass @abstractmethod def list(self, *args, **kwargs): pass @abstractmethod def name(self, *args, **kwargs): pass @abstractmethod def remote(self, value, keep_local=False, stay_on_remote=False): pass @abstractmethod def remove(self): raise NotImplementedError("Removal of files is unavailable for this remote") def local_touch_or_create(self): self._iofile.touch_or_create() class DomainObject(AbstractRemoteObject): """This is a mixin related to parsing components out of a location path specified as (host|IP):port/remote/location """ def __init__(self, *args, **kwargs): super(DomainObject, self).__init__(*args, **kwargs) @property def _matched_address(self): return re.search( r"^(?P[a-zA-Z]+\://)?(?P[A-Za-z0-9\-\.]+)(?:\:(?P[0-9]+))?(?P.*)$", self.local_file(), ) @property def name(self): return self.path_remainder # if we ever parse out the protocol directly # @property # def protocol(self): # if self._matched_address: # return self._matched_address.group("protocol") @property def host(self): if self._matched_address: return self._matched_address.group("host") @property def port(self): if self._matched_address: return self._matched_address.group("port") @property def path_prefix(self): # this is the domain and port, however specified before the path remainder return self._iofile._file[: self._iofile._file.index(self.path_remainder)] @property def path_remainder(self): if self._matched_address: return self._matched_address.group("path_remainder") @property def local_path(self): return self._iofile._file @property def remote_path(self): return self.path_remainder class PooledDomainObject(DomainObject): """This adds connection pooling to DomainObjects out of a location path specified as (host|IP):port/remote/location """ connection_pools = {} def __init__(self, *args, pool_size=100, immediate_close=False, **kwargs): super(PooledDomainObject, self).__init__(*args, **kwargs) self.pool_size = 100 self.immediate_close = immediate_close def get_default_kwargs(self, **defaults): defaults.setdefault("host", self.host) defaults.setdefault("port", int(self.port) if self.port else None) return defaults def get_args_to_use(self): """merge the objects args with the parent provider Positional Args: use those of object or fall back to ones from provider Keyword Args: merge with any defaults """ # if args have been provided to remote(), # use them over those given to RemoteProvider() args_to_use = self.provider.args if len(self.args): args_to_use = self.args # use kwargs passed in to remote() to override those given to the RemoteProvider() # default to the host and port given as part of the file, # falling back to one specified as a kwarg to remote() or the RemoteProvider # (overriding the latter with the former if both) kwargs_to_use = self.get_default_kwargs() for k, v in self.provider.kwargs.items(): kwargs_to_use[k] = v for k, v in self.kwargs.items(): kwargs_to_use[k] = v return args_to_use, kwargs_to_use @contextmanager def get_connection(self): """get a connection from a pool or create a new one""" if not self.immediate_close and "connection_pool" in sys.modules: # if we can (and the user doesn't override) use a pool with self.connection_pool.item() as conn: yield conn else: # otherwise create a one-time connection args_to_use, kwargs_to_use = self.get_args_to_use() conn = self.create_connection(*args_to_use, **kwargs_to_use) try: yield conn finally: self.close_connection(conn) @property def conn_keywords(self): """returns list of keywords relevant to a unique connection""" return ["host", "port", "username"] @property def connection_pool(self): """set up a pool of re-usable active connections""" # merge this object's values with those of its parent provider args_to_use, kwargs_to_use = self.get_args_to_use() # hashing connection pool on tuple of relevant arguments. There # may be a better way to do this conn_pool_label_tuple = ( type(self), *args_to_use, *[kwargs_to_use.get(k, None) for k in self.conn_keywords], ) if conn_pool_label_tuple not in self.connection_pools: create_callback = partial( self.create_connection, *args_to_use, **kwargs_to_use ) self.connection_pools[conn_pool_label_tuple] = ConnectionPool( create_callback, close=self.close_connection, max_size=self.pool_size ) return self.connection_pools[conn_pool_label_tuple] @abstractmethod def create_connection(self): """handle the protocol specific job of creating a connection""" pass @abstractmethod def close_connection(self, connection): """handle the protocol specific job of closing a connection""" pass class AutoRemoteProvider: @property def protocol_mapping(self): # automatically gather all RemoteProviders import pkgutil import importlib.util provider_list = [] for remote_submodule in pkgutil.iter_modules(snakemake.remote.__path__): path = ( os.path.join(remote_submodule.module_finder.path, remote_submodule.name) + ".py" ) module_name = remote_submodule.name spec = importlib.util.spec_from_file_location(module_name, path) module = importlib.util.module_from_spec(spec) try: sys.modules[module_name] = module spec.loader.exec_module(module) except Exception as e: logger.debug(f"Autoloading {module_name} failed: {e}") continue provider_list.append(module.RemoteProvider) # assemble scheme mapping protocol_dict = {} for Provider in provider_list: for protocol in Provider().available_protocols: protocol_short = protocol[:-3] # remove "://" suffix protocol_dict[protocol_short] = Provider return protocol_dict def remote(self, value, *args, provider_kws=None, **kwargs): if isinstance(value, str): values = [value] elif isinstance(value, collections.abc.Iterable): values = value else: raise TypeError(f"Invalid type ({type(value)}) passed to remote: {value}") provider_remote_list = [] for value in values: # select provider o = parse_uri(value) Provider = self.protocol_mapping.get(o.scheme) if Provider is None: raise TypeError(f"Could not find remote provider for: {value}") # use provider's remote provider_kws = {} if provider_kws is None else provider_kws.copy() provider_remote_list.append( Provider(**provider_kws).remote(value, *args, **kwargs) ) return ( provider_remote_list[0] if len(provider_remote_list) == 1 else provider_remote_list ) AUTO = AutoRemoteProvider() snakemake-6.15.1/snakemake/remote/dropbox.py000066400000000000000000000132261417574166400210470ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os # module-specific from snakemake.remote import AbstractRemoteProvider, AbstractRemoteObject from snakemake.exceptions import DropboxFileException, WorkflowError from snakemake.utils import os_sync try: # third-party modules import dropbox # The official Dropbox API library except ImportError as e: raise WorkflowError( "The Python 3 package 'dropbox' " "must be installed to use Dropbox remote() file " "functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self._dropboxc = dropbox.Dropbox(*args, **kwargs) try: self._dropboxc.users_get_current_account() except dropbox.exceptions.AuthError as err: DropboxFileException( "ERROR: Invalid Dropbox OAuth access token; try re-generating an access token from the app console on the web." ) def remote_interface(self): return self._dropboxc @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "dropbox://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["dropbox://"] class RemoteObject(AbstractRemoteObject): """This is a class to interact with the Dropbox API.""" def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) if provider: self._dropboxc = provider.remote_interface() else: self._dropboxc = dropbox.Dropbox(*args, **kwargs) try: self._dropboxc.users_get_current_account() except dropbox.exceptions.AuthError as err: DropboxFileException( "ERROR: Invalid Dropbox OAuth access token; try re-generating an access token from the app console on the web." ) # === Implementations of abstract class members === def exists(self): try: metadata = self._dropboxc.files_get_metadata(self.dropbox_file()) return True except: return False def mtime(self): if self.exists(): metadata = self._dropboxc.files_get_metadata(self.dropbox_file()) epochTime = metadata.server_modified.timestamp() return epochTime else: raise DropboxFileException( "The file does not seem to exist remotely: %s" % self.dropbox_file() ) def size(self): if self.exists(): metadata = self._dropboxc.files_get_metadata(self.dropbox_file()) return int(metadata.size) else: return self._iofile.size_local def download(self, make_dest_dirs=True): if self.exists(): # if the destination path does not exist, make it if make_dest_dirs: os.makedirs(os.path.dirname(self.local_file()), exist_ok=True) self._dropboxc.files_download_to_file( self.local_file(), self.dropbox_file() ) os_sync() # ensure flush to disk else: raise DropboxFileException( "The file does not seem to exist remotely: %s" % self.dropbox_file() ) def upload(self, mode=dropbox.files.WriteMode("overwrite")): # Chunk file into 10MB slices because Dropbox does not accept more than 150MB chunks chunksize = 10000000 with open(self.local_file(), mode="rb") as f: data = f.read(chunksize) # Start upload session res = self._dropboxc.files_upload_session_start(data) offset = len(data) # Upload further chunks until file is complete while len(data) == chunksize: data = f.read(chunksize) self._dropboxc.files_upload_session_append(data, res.session_id, offset) offset += len(data) # Finish session and store in the desired path self._dropboxc.files_upload_session_finish( f.read(chunksize), dropbox.files.UploadSessionCursor(res.session_id, offset), dropbox.files.CommitInfo(path=self.dropbox_file(), mode=mode), ) def dropbox_file(self): return ( "/" + self.local_file() if not self.local_file().startswith("/") else self.local_file() ) @property def name(self): return self.local_file() @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = ( "/" + first_wildcard if not first_wildcard.startswith("/") else first_wildcard ) while "//" in dirname: dirname = dirname.replace("//", "/") dirname = dirname.rstrip("/") for item in self._dropboxc.files_list_folder(dirname, recursive=True).entries: file_list.append( os.path.join(os.path.dirname(item.path_lower), item.name).lstrip("/") ) return file_list snakemake-6.15.1/snakemake/remote/gfal.py000066400000000000000000000120631417574166400203010ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@tu-dortmund.de" __license__ = "MIT" import os import re import shutil import subprocess as sp from datetime import datetime import time from snakemake.remote import AbstractRemoteObject, AbstractRemoteProvider from snakemake.exceptions import WorkflowError from snakemake.common import lazy_property from snakemake.logging import logger from snakemake.utils import os_sync if not shutil.which("gfal-copy"): raise WorkflowError( "The gfal-* commands need to be available for " "gfal remote support." ) class RemoteProvider(AbstractRemoteProvider): supports_default = True allows_directories = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, retry=5, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self.retry = retry @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "gsiftp://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" # TODO gfal provides more. Extend this list. return ["gsiftp://", "srm://"] class RemoteObject(AbstractRemoteObject): mtime_re = re.compile(r"^\s*Modify: (.+)$", flags=re.MULTILINE) size_re = re.compile(r"^\s*Size: ([0-9]+).*$", flags=re.MULTILINE) def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) def _gfal(self, cmd, *args, retry=None, raise_workflow_error=True): if retry is None: retry = self.provider.retry _cmd = ["gfal-" + cmd] + list(args) for i in range(retry + 1): try: logger.debug(_cmd) return sp.run( _cmd, check=True, stderr=sp.PIPE, stdout=sp.PIPE ).stdout.decode() except sp.CalledProcessError as e: if i == retry: if raise_workflow_error: raise WorkflowError( "Error calling gfal-{}:\n{}".format(cmd, e.stderr.decode()) ) else: raise e else: # try again after some seconds time.sleep(1) continue # === Implementations of abstract class members === def exists(self): try: self._gfal( "ls", "-a", self.remote_file(), retry=0, raise_workflow_error=False ) except sp.CalledProcessError as e: if e.returncode == 2: # exit code 2 means no such file or directory return False else: raise WorkflowError( "Error calling gfal-ls:\n{}".format(e.stderr.decode()) ) # exit code 0 means that the file is present return True def _stat(self): stat = self._gfal("stat", self.remote_file()) return stat def mtime(self): # assert self.exists() stat = self._stat() mtime = self.mtime_re.search(stat).group(1) date = datetime.strptime(mtime, "%Y-%m-%d %H:%M:%S.%f") return date.timestamp() def size(self): # assert self.exists() stat = self._stat() size = self.size_re.search(stat).group(1) return int(size) def download(self): if self.exists(): if self.size() == 0: # Globus erroneously thinks that a transfer is incomplete if a # file is empty. Hence we manually touch the local file. self.local_touch_or_create() return self.local_file() # Download file. Wait for staging. source = self.remote_file() target = "file://" + os.path.abspath(self.local_file()) # disable all timeouts (file transfers can take a long time) self._gfal( "copy", "-p", "-f", "-n", "4", "-t", "0", "-T", "0", source, target ) os_sync() return self.local_file() return None def upload(self): target = self.remote_file() source = "file://" + os.path.abspath(self.local_file()) # disable all timeouts (file transfers can take a long time) self._gfal("copy", "-p", "-f", "-n", "4", "-t", "0", "-T", "0", source, target) def remove(self): self._gfal("rm", "-r", self.remote_file()) @property def list(self): # TODO implement listing of remote files with patterns raise NotImplementedError() def host(self): return self.local_file().split("/")[0] snakemake-6.15.1/snakemake/remote/gridftp.py000066400000000000000000000050261417574166400210300ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@tu-dortmund.de" __license__ = "MIT" import os import subprocess as sp import time import shutil from snakemake.exceptions import WorkflowError from snakemake.logging import logger from snakemake.utils import os_sync if not shutil.which("globus-url-copy"): raise WorkflowError( "The globus-url-copy command has to be available for " "gridftp remote support." ) if not shutil.which("gfal-ls"): raise WorkflowError( "The gfal-* commands need to be available for " "gridftp remote support." ) from snakemake.remote import gfal class RemoteProvider(gfal.RemoteProvider): pass class RemoteObject(gfal.RemoteObject): def _globus(self, *args): retry = self.provider.retry cmd = ["globus-url-copy"] + list(args) for i in range(retry + 1): try: logger.debug(" ".join(cmd)) return sp.run( cmd, check=True, stderr=sp.PIPE, stdout=sp.PIPE ).stdout.decode() except sp.CalledProcessError as e: if i == retry: raise WorkflowError( "Error calling globus-url-copy:\n{}".format( cmd, e.stderr.decode() ) ) else: # try again after some seconds time.sleep(1) continue def download(self): if self.exists(): if self.size() == 0: # Globus erroneously thinks that a transfer is incomplete if a # file is empty. Hence we manually touch the local file. self.local_touch_or_create() return self.local_file() # Download file. Wait for staging. source = self.remote_file() target = "file://" + os.path.abspath(self.local_file()) self._globus( "-parallel", "4", "-create-dest", "-recurse", "-dp", source, target ) os_sync() return self.local_file() return None def upload(self): target = self.remote_file() source = "file://" + os.path.abspath(self.local_file()) if self.exists(): # first delete file, such that globus does not fail self._gfal("rm", target) self._globus( "-parallel", "4", "-create-dest", "-recurse", "-dp", source, target ) snakemake-6.15.1/snakemake/remote/iRODS.py000066400000000000000000000210001417574166400202770ustar00rootroot00000000000000__author__ = "Oliver Stolpe" __copyright__ = "Copyright 2017, BIH Core Unit Bioinformatics" __email__ = "oliver.stolpe@bihealth.org" __license__ = "MIT" import os import re from contextlib import contextmanager from datetime import datetime, timedelta from pytz import timezone # module-specific from snakemake.remote import AbstractRemoteProvider, AbstractRemoteObject from snakemake.exceptions import WorkflowError from snakemake.utils import os_sync try: # third-party modules from irods.session import iRODSSession from irods.meta import iRODSMeta from irods.models import DataObject from irods.exception import CollectionDoesNotExist, DataObjectDoesNotExist import irods.keywords as kw except ImportError as e: raise WorkflowError( "The Python 3 package 'python-irodsclient' " + "must be installed to use iRODS remote() file functionality. %s" % e.msg ) utc = datetime.utcfromtimestamp(0) def _irods_session(*args, **kwargs): try: irods_env_file = os.environ["IRODS_ENVIRONMENT_FILE"] except KeyError: irods_env_file = kwargs.get( "irods_env_file", os.path.expanduser("~/.irods/irods_environment.json") ) if not os.path.isfile(irods_env_file): raise WorkflowError( "Expecting iRODS configuration file in %s, but none found." % kwargs["irods_env_file"] ) with iRODSSession(irods_env_file=irods_env_file) as session: try: session.collections.get( os.path.join(os.sep, session.zone, "home", session.username) ) except ConnectionError as e: raise e return session class RemoteProvider(AbstractRemoteProvider): supports_default = True def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) self._irods_session = _irods_session(*args, **kwargs) def remote_interface(self): return self._irods_session @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "irods://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["irods://"] class RemoteObject(AbstractRemoteObject): """This is a class to interact with an iRODS server.""" def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) if provider: self._irods_session = provider.remote_interface() self._timezone = provider.kwargs.get("timezone") else: self._irods_session = _irods_session(*args, **kwargs) def exists(self): try: self._irods_session.data_objects.get(self.remote_path) return True except (CollectionDoesNotExist, DataObjectDoesNotExist): return False def _convert_time(self, timestamp, tz=None): dt = timestamp.replace(tzinfo=timezone("UTC")) if tz: dt = dt.astimezone(timezone(tz)) return dt def mtime(self): if self.exists(): obj = self._irods_session.data_objects.get(self.remote_path) meta = self._irods_session.metadata.get(DataObject, self.remote_path) # if mtime was set in metadata during upload, take this information # otherwise fall back to iRODS timestamp (upload time!) and change # timezone accordingly (iRODS might ignore the servers local timezone) for m in meta: if m.name == "mtime": mtime = float(m.value) break else: dt = self._convert_time(obj.modify_time, self._timezone) utc2 = self._convert_time(utc) mtime = (dt - utc2).total_seconds() return int(mtime) else: raise WorkflowError( "The file does not seem to exist remotely: %s" % self.local_file() ) def atime(self): if self.exists(): obj = self._irods_session.data_objects.get(self.remote_path) meta = self._irods_session.metadata.get(DataObject, self.remote_path) # if mtime was set in metadata during upload, take this information # otherwise fall back to iRODS timestamp (upload time!) and change # timezone accordingly (iRODS might ignore the servers local timezone) for m in meta: if m.name == "atime": atime = float(m.value) break else: dt = self._convert_time(obj.modify_time, self._timezone) utc2 = self._convert_time(utc) atime = (dt - utc2).total_seconds() return int(atime) else: raise WorkflowError("File doesn't exist remotely: %s" % self.local_file()) def is_newer(self, time): """Returns true of the file is newer than time, or if it is a symlink that points to a file newer than time.""" return self.mtime() > time def size(self): if self.exists(): obj = self._irods_session.data_objects.get(self.remote_path) return int(obj.size) else: return self._iofile.size_local def download(self, make_dest_dirs=True): if self.exists(): if make_dest_dirs: os.makedirs(os.path.dirname(self.local_path), exist_ok=True) # force irods to overwrite existing file if this option is set opt = {} if self.kwargs.get("overwrite"): opt[kw.FORCE_FLAG_KW] = "" # get object and change timestamp obj = self._irods_session.data_objects.get( self.remote_path, self.local_path, options=opt ) os.utime(self.local_path, (self.atime(), self.mtime())) os_sync() else: raise WorkflowError( "The file does not seem to exist remotely: %s" % self.local_file() ) def upload(self): # get current local timestamp stat = os.stat(self.local_path) # create folder structure on remote folders = os.path.dirname(self.remote_path).split(os.sep)[1:] collpath = os.sep for folder in folders: collpath = os.path.join(collpath, folder) try: self._irods_session.collections.get(collpath) except: self._irods_session.collections.create(collpath) # upload file and store local timestamp in metadata since irods sets the files modification time to # the upload time rather than retaining the local modification time self._irods_session.data_objects.put(self.local_path, self.remote_path) # erase meta data (if exists) before adding it. there is no update routine available in the API for m in self._irods_session.metadata.get(DataObject, self.remote_path): if m.name in ("mtime", "atime", "ctime"): self._irods_session.metadata.remove( DataObject, self.remote_path, iRODSMeta(m.name, m.value, m.units) ) self._irods_session.metadata.add( DataObject, self.remote_path, iRODSMeta("mtime", str(stat.st_mtime), "s") ) self._irods_session.metadata.add( DataObject, self.remote_path, iRODSMeta("atime", str(stat.st_atime), "s") ) self._irods_session.metadata.add( DataObject, self.remote_path, iRODSMeta("ctime", str(stat.st_ctime), "s") ) @property def remote_path(self): return os.path.join(os.sep, self._irods_session.zone, self.local_file()) @property def name(self): return self.local_file() @property def local_path(self): return self.local_file() @property def list(self): file_list = [] first_wildcard = self._iofile.constant_prefix() dirname = os.path.dirname(first_wildcard) collection = self._irods_session.collections.get(dirname) for _, _, objs in collection.walk(): for obj in objs: file_list.append(obj.path.lstrip("/")) return file_list snakemake-6.15.1/snakemake/remote/webdav.py000066400000000000000000000164261417574166400206470ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2017, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" import os, sys import email.utils from contextlib import contextmanager import functools # module-specific from snakemake.remote import AbstractRemoteProvider, AbstractRemoteObject, DomainObject from snakemake.exceptions import WebDAVFileException, WorkflowError from snakemake.utils import os_sync try: # third-party modules import aioeasywebdav import asyncio except ImportError as e: raise WorkflowError( "The Python 3 packages 'aioeasywebdav' " " and 'asyncio' must be present to use WebDAV remote() file " "functionality. %s" % e.msg ) class RemoteProvider(AbstractRemoteProvider): def __init__( self, *args, keep_local=False, stay_on_remote=False, is_default=False, **kwargs ): # loop = asyncio.get_event_loop() super(RemoteProvider, self).__init__( *args, keep_local=keep_local, stay_on_remote=stay_on_remote, is_default=is_default, **kwargs ) @property def default_protocol(self): """The protocol that is prepended to the path when no protocol is specified.""" return "https://" @property def available_protocols(self): """List of valid protocols for this remote provider.""" return ["http://", "https://"] class RemoteObject(DomainObject): """This is a class to interact with a WebDAV file store.""" def __init__(self, *args, keep_local=False, **kwargs): # self.loop = asyncio.get_event_loop() super(RemoteObject, self).__init__(*args, keep_local=keep_local, **kwargs) @contextmanager def webdavc(self): newloop = False if not hasattr(self, "loop"): try: self.loop = asyncio.get_event_loop() if self.loop.is_running(): raise NotImplementedError( "Cannot use aioutils in " "asynchroneous environment" ) except: newloop = True self.loop = asyncio.new_event_loop() asyncio.set_event_loop(self.loop) self.loop = asyncio.new_event_loop() asyncio.set_event_loop(self.loop) if not hasattr(self, "conn") or ( hasattr(self, "conn") and not isinstance(self.conn, aioeasywebdav.Client) ): # if args have been provided to remote(), use them over those given to RemoteProvider() args_to_use = self.provider.args if len(self.args): args_to_use = self.args # use kwargs passed in to remote() to override those given to the RemoteProvider() # default to the host and port given as part of the file, falling back to one specified # as a kwarg to remote() or the RemoteProvider (overriding the latter with the former if both) kwargs_to_use = {} kwargs_to_use["host"] = self.host kwargs_to_use["protocol"] = self.protocol kwargs_to_use["port"] = int(self.port) if self.port != None else 443 for k, v in self.provider.kwargs.items(): kwargs_to_use[k] = v for k, v in self.kwargs.items(): kwargs_to_use[k] = v # easywebdav wants the protocol without "://" kwargs_to_use["protocol"] = kwargs_to_use["protocol"].replace("://", "") # monkey patch aioeasywebdav to noop _rate_calc() # since we don't care about download progress and # the parent (connection) object may be removed before the # sleep coroutine has a chance to be scheduled/finish, # and aioeasywebdav only calls close() on __del__() async def noop(_): pass aioeasywebdav.Client._rate_calc = noop self.conn = aioeasywebdav.connect(*args_to_use, **kwargs_to_use) yield # === Implementations of abstract class members === def exists(self): with self.webdavc() as webdavc: path_to_try = self.webdav_file return self.loop.run_until_complete(self.conn.exists(self.webdav_file)) def mtime(self): if self.exists(): with self.webdavc() as webdavc: metadata = self.loop.run_until_complete( self.conn.ls(remote_path=self.webdav_file) )[0] parsed_date = email.utils.parsedate_tz(metadata.mtime) epoch_time = email.utils.mktime_tz(parsed_date) return epoch_time else: raise WorkflowError( "The file does not seem to exist remotely: %s" % self.webdav_file ) def size(self): if self.exists(): with self.webdavc() as webdavc: metadata = self.loop.run_until_complete( self.conn.ls(remote_path=self.webdav_file) )[0] return int(metadata.size) else: return self._iofile.size_local def download(self, make_dest_dirs=True): if self.exists(): # if the destination path does not exist, make it if make_dest_dirs: os.makedirs(os.path.dirname(self.local_file()), exist_ok=True) with self.webdavc() as webdavc: self.loop.run_until_complete( self.conn.download(self.webdav_file, self.local_file()) ) os_sync() # ensure flush to disk else: raise WorkflowError( "The file does not seem to exist remotely: %s" % self.webdav_file ) def upload(self): # make containing folder with self.webdavc() as webdavc: self.loop.run_until_complete( self.conn.mkdirs(os.path.dirname(self.webdav_file)) ) self.loop.run_until_complete( self.conn.upload(self.local_file(), self.webdav_file) ) @property def webdav_file(self): filepath = ( self.local_file().replace(self.host, "").replace(":" + str(self.port), "") ) filepath = filepath if not filepath.startswith("/") else filepath[1:] return filepath @property def name(self): return self.local_file() @property def list(self): file_list = [] first_wildcard = ( self._iofile.constant_prefix() .replace(self.host, "") .replace(":" + str(self.port), "") ) dirname = ( first_wildcard[1:] if first_wildcard.startswith("/") else first_wildcard ) while "//" in dirname: dirname = dirname.replace("//", "/") dirname = dirname.rstrip("/") + "/" with self.webdavc() as webdavc: for item in self.loop.run_until_complete(self.conn.ls(dirname)): file_list.append( os.path.join(os.path.dirname(dirname), item.name.lstrip("/")) ) file_list.append( os.path.join( self._iofile.constant_prefix(), os.path.basename(item.name) ) ) return file_list snakemake-6.15.1/snakemake/report.css000066400000000000000000000045431417574166400175540ustar00rootroot00000000000000/** Credits for the colors and font selection go to the Twitter Bootstrap framework. */ body { color: rgb(51, 51, 51); font-size: 10pt; padding-top: 10px; font-family: "Helvetica Neue",Helvetica,Arial,sans-serif; } h1 { font-size: 150%; } h2 { font-size: 140%; } h3 { font-size: 130%; } h4 { font-size: 120%; } h5 { font-size: 110%; } h6 { font-size: 100%; } div#attachments { display: inline-block; color: gray; border-width: 1px; border-style: solid; border-color: white; border-radius: 4px 4px 4px 4px; padding: 0px; } div#attachments dt { margin-top: 2px; margin-bottom: 2px; } div#attachments dd p { margin-top: 2px; margin-bottom: 2px; } div#attachments :target dt { font-weight: bold; } div#attachments :target a { color: rgb(70, 136, 71); } h1.title { text-align: center; font-size: 180%; } div.document { position: relative; background: white; max-width: 800px; margin: auto; padding: 20px; border: 1px solid rgb(221, 221, 221); border-radius: 4px 4px 4px 4px; } div.document:after { content: "snakemake report"; position: absolute; top: -1px; right: -1px; padding: 3px 7px; background-color: #f5f5f5; border: 1px solid rgb(221, 221, 221); color: #9da0a4; font-weight: bold; font-size: 12pt; border-radius: 0 0 0 4px; } div.document p { text-align: justify; } div#metadata { text-align: right; } table.docutils { border: none; border-collapse: collapse; border-top: 2px solid gray; border-bottom: 2px solid gray; text-align: center; } table.docutils th { border: none; border-top: 2px solid gray; border-bottom: 2px solid gray; padding: 5px; } table.docutils td { border: none; padding: 5px; } table.docutils th:last-child, td:last-child { text-align: left; } table.docutils th:first-child, td:first-child { text-align: right; } table.docutils th:only-child, td:only-child { text-align: center; } table.docutils.footnote { border: none; text-align: left; } a { color: rgb(0, 136, 204); text-decoration: none; } a:hover { color: rgb(0, 85, 128); text-decoration: underline; } div.figure { margin-left: 2em; margin-right: 2em; } img { max-width: 100%; } p.caption { font-style: italic; } snakemake-6.15.1/snakemake/report/000077500000000000000000000000001417574166400170345ustar00rootroot00000000000000snakemake-6.15.1/snakemake/report/__init__.py000066400000000000000000000736361417574166400211640ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import sys import mimetypes import base64 import textwrap import datetime import io import uuid import json import time import shutil import subprocess as sp import itertools import csv from collections import namedtuple, defaultdict from itertools import accumulate, chain import urllib.parse import hashlib from zipfile import ZipFile, ZIP_DEFLATED from pathlib import Path import requests from docutils.parsers.rst.directives.images import Image, Figure from docutils.parsers.rst import directives from docutils.core import publish_file, publish_parts from snakemake import script, wrapper, notebook from snakemake.utils import format from snakemake.logging import logger from snakemake.io import ( is_flagged, get_flag_value, glob_wildcards, Wildcards, apply_wildcards, contains_wildcard, ) from snakemake.exceptions import WorkflowError from snakemake.script import Snakemake from snakemake import __version__ from snakemake.common import num_if_possible, lazy_property from snakemake import logging class EmbeddedMixin(object): """ Replaces the URI of a directive with a base64-encoded version. Useful for embedding images/figures in reports. """ def run(self): """ Image.run() handles most of the """ result = Image.run(self) reference = directives.uri(self.arguments[0]) self.options["uri"] = data_uri_from_file(reference) return result # Create (and register) new image:: and figure:: directives that use a base64 # data URI instead of pointing to a filename. class EmbeddedImage(Image, EmbeddedMixin): pass directives.register_directive("embeddedimage", EmbeddedImage) class EmbeddedFigure(Figure, EmbeddedMixin): pass directives.register_directive("embeddedfigure", EmbeddedFigure) def data_uri(data, filename, encoding="utf8", mime="text/plain"): """Craft a base64 data URI from file with proper encoding and mimetype.""" data = base64.b64encode(data) uri = "data:{mime};charset={charset};filename={filename};base64,{data}" "".format( filename=filename, mime=mime, charset=encoding, data=data.decode("utf-8") ) return uri def mime_from_file(file): mime, encoding = mimetypes.guess_type(file) if mime is None: mime = "text/plain" logger.info( "Could not detect mimetype for {}, assuming " "text/plain.".format(file) ) return mime, encoding def data_uri_from_file(file, defaultenc="utf8"): """Craft a base64 data URI from file with proper encoding and mimetype.""" mime, encoding = mime_from_file(file) if encoding is None: encoding = defaultenc with open(file, "rb") as f: return data_uri(f.read(), os.path.basename(file), encoding, mime) def report( text, path, stylesheet=None, defaultenc="utf8", template=None, metadata=None, **files ): if stylesheet is None: os.path.join(os.path.dirname(__file__), "report.css") outmime, _ = mimetypes.guess_type(path) if outmime != "text/html": raise ValueError("Path to report output has to be an HTML file.") definitions = textwrap.dedent( """ .. role:: raw-html(raw) :format: html """ ) metadata = textwrap.dedent( """ .. container:: :name: metadata {metadata}{date} """ ).format( metadata=metadata + " | " if metadata else "", date=datetime.date.today().isoformat(), ) text = format(textwrap.dedent(text), stepout=3) attachments = [] if files: attachments = [ textwrap.dedent( """ .. container:: :name: attachments """ ) ] for name, _files in sorted(files.items()): if not isinstance(_files, list): _files = [_files] links = [] for file in sorted(_files): data = data_uri_from_file(file) links.append( ':raw-html:`{filename}`'.format( data=data, filename=os.path.basename(file) ) ) links = "\n\n ".join(links) attachments.append( """ .. container:: :name: {name} {name}: {links} """.format( name=name, links=links ) ) text = definitions + text + "\n\n" + "\n\n".join(attachments) + metadata overrides = dict() if template is not None: overrides["template"] = template if stylesheet is not None: overrides["stylesheet_path"] = stylesheet html = open(path, "w") publish_file( source=io.StringIO(text), destination=html, writer_name="html", settings_overrides=overrides, ) class Category: def __init__(self, name, wildcards, job): if name is None: name = "Other" self.is_other = True else: self.is_other = False try: name = apply_wildcards(name, wildcards) except AttributeError as e: raise WorkflowError("Failed to resolve wildcards.", e, rule=job.rule) self.name = name h = hashlib.sha256() h.update(name.encode()) self.id = h.hexdigest() def __eq__(self, other): return self.name.__eq__(other.name) def __hash__(self): return self.name.__hash__() def __lt__(self, other): if self.name == "other": return False return self.name.__lt__(other.name) class RuleRecord: def __init__(self, job, job_rec): import yaml self.name = job_rec.rule self._rule = job.rule self.container_img_url = job_rec.container_img_url self.conda_env = None self._conda_env_raw = None if job_rec.conda_env: self._conda_env_raw = base64.b64decode(job_rec.conda_env).decode() self.conda_env = yaml.load(self._conda_env_raw, Loader=yaml.Loader) self.n_jobs = 1 self.id = uuid.uuid4() @lazy_property def code(self): try: from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter from pygments import highlight import pygments.util except ImportError: raise WorkflowError( "Python package pygments must be installed to create reports." ) sources, language = None, None if self._rule.shellcmd is not None: sources = [self._rule.shellcmd] language = "bash" elif self._rule.script is not None and not contains_wildcard(self._rule.script): logger.info("Loading script code for rule {}".format(self.name)) _, source, language, _ = script.get_source( self._rule.script, self._rule.workflow.sourcecache, self._rule.basedir ) sources = [source.decode()] elif self._rule.wrapper is not None and not contains_wildcard( self._rule.wrapper ): logger.info("Loading wrapper code for rule {}".format(self.name)) _, source, language, _ = script.get_source( wrapper.get_script( self._rule.wrapper, self._rule.workflow.sourcecache, prefix=self._rule.workflow.wrapper_prefix, ), self._rule.workflow.sourcecache, ) sources = [source.decode()] elif self._rule.notebook is not None and not contains_wildcard( self._rule.notebook ): _, source, language, _ = script.get_source( self._rule.notebook, self._rule.workflow.sourcecache, self._rule.basedir, wildcards=self.wildcards, params=self.params, ) language = language.split("_")[1] sources = notebook.get_cell_sources(source) else: # A run directive. There is no easy way yet to obtain # the actual uncompiled source code. sources = [] language = "python" try: lexer = get_lexer_by_name(language) highlighted = [ highlight( source, lexer, HtmlFormatter(linenos=True, cssclass="source", wrapcode=True), ) for source in sources ] return highlighted except pygments.util.ClassNotFound: return [ '
{}
'.format(source) for source in sources ] def add(self, job_rec): self.n_jobs += 1 @property def output(self): return self._rule.output @property def input(self): return self._rule.input def __eq__(self, other): return ( self.name == other.name and self.conda_env == other.conda_env and self.container_img_url == other.container_img_url ) class ConfigfileRecord: def __init__(self, configfile): self.path = Path(configfile) def code(self): try: from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter from pygments import highlight except ImportError: raise WorkflowError( "Python package pygments must be installed to create reports." ) file_ext = self.path.suffix if file_ext in (".yml", ".yaml"): language = "yaml" elif file_ext == ".json": language = "json" else: raise ValueError( "Config file extension {} is not supported - must be YAML or JSON".format( file_ext ) ) lexer = get_lexer_by_name(language) return highlight( self.path.read_text(), lexer, HtmlFormatter(linenos=True, cssclass="source", wrapcode=True), ) class JobRecord: def __init__(self): self.job = None self.rule = None self.starttime = sys.maxsize self.endtime = 0 self.output = [] self.conda_env_file = None self.container_img_url = None class FileRecord: def __init__( self, path, job, caption, env, category, workflow, wildcards_overwrite=None, mode_embedded=True, aux_files=None, name_overwrite=None, ): self.name_overwrite = name_overwrite self.mode_embedded = mode_embedded self.path = path self.target = os.path.basename(path) self.size = os.path.getsize(self.path) logger.info("Adding {} ({:.2g} MB).".format(self.name, self.size / 1e6)) self.raw_caption = caption self.mime, _ = mime_from_file(self.path) self.workflow = workflow h = hashlib.sha256() h.update(path.encode()) self.id = h.hexdigest() self.job = job self._wildcards = ( job.wildcards if wildcards_overwrite is None else wildcards_overwrite ) self.wildcards = logging.format_wildcards(self._wildcards) self.params = ( logging.format_dict(job.params).replace("\n", r"\n").replace('"', r"\"") ) self.category = category self.aux_files = aux_files or [] self.data_uri = self._data_uri() self.png_uri = self._png_uri() @lazy_property def png_content(self): assert self.is_img convert = shutil.which("magick") if convert is not None: try: # 2048 aims at a reasonable balance between what displays # can show in a png-preview image and what renders quick # into a small enough png max_width = "2048" max_height = "2048" # '>' means only larger images scaled down to within max-dimensions max_spec = max_width + "x" + max_height + ">" png = sp.check_output( ["magick", "convert", "-resize", max_spec, self.path, "png:-"], stderr=sp.PIPE, ) return png except sp.CalledProcessError as e: logger.warning( "Failed to convert image to png with " "imagemagick convert: {}".format(e.stderr) ) else: logger.warning( "Command convert not in $PATH. Install " "imagemagick in order to have embedded " "images and pdfs in the report." ) def _png_uri(self): if self.is_img: png = self.png_content if self.mode_embedded: if png is not None: uri = data_uri( png, os.path.basename(self.path) + ".png", mime="image/png" ) return uri else: if png is not None: return os.path.join("data/thumbnails", self.id) def _data_uri(self): if self.mode_embedded: return data_uri_from_file(self.path) else: return os.path.join("data/raw", self.id, self.filename) def render(self, env, rst_links, categories, files): if self.raw_caption is not None: try: from jinja2 import Template except ImportError as e: raise WorkflowError( "Python package jinja2 must be installed to create reports." ) job = self.job snakemake = Snakemake( job.input, job.output, job.params, self._wildcards, job.threads, job.resources, job.log, job.dag.workflow.config, job.rule.name, None, ) try: caption = ( self.workflow.sourcecache.open(self.raw_caption).read() + rst_links ) caption = env.from_string(caption).render( snakemake=snakemake, categories=categories, files=files ) self.caption = json.dumps( publish_parts(caption, writer_name="html")["body"] ) except Exception as e: raise WorkflowError( "Error loading caption file of output marked for report.", e ) @property def is_img(self): web_safe = { "image/gif", "image/jpeg", "image/png", "image/svg+xml", "application/pdf", } return self.mime in web_safe @property def is_text(self): return self.is_table or self.mime == "text/plain" @property def is_table(self): return self.mime in {"text/csv", "text/tab-separated-values"} @property def is_vega(self): return ( self.mime == "application/json" and self.path.endswith(".vl.json") or self.path.endswith(".vg.json") ) @property def icon(self): if self.is_img: return "image" elif self.is_text: return "file-text" else: return "file" @property def name(self): if self.name_overwrite: return self.name_overwrite return os.path.basename(self.path) @property def filename(self): return os.path.basename(self.path) def rulegraph_d3_spec(dag): try: import networkx as nx from networkx.drawing.nx_agraph import graphviz_layout from networkx.readwrite import json_graph except ImportError as e: raise WorkflowError( "Python packages networkx and pygraphviz must be " "installed to create reports.", e, ) g = nx.DiGraph() g.add_nodes_from(sorted(job.rule.name for job in dag.jobs)) for job in dag.jobs: target = job.rule.name for dep in dag.dependencies[job]: source = dep.rule.name g.add_edge(source, target) pos = graphviz_layout(g, "dot", args="-Grankdir=BT") xmax = max(x for x, y in pos.values()) + 100 # add offset to account for labels ymax = max(y for x, y in pos.values()) def encode_node(node): x, y = pos[node] return {"rule": node, "fx": x, "fy": y} nodes = list(map(encode_node, g.nodes)) idx = {node: i for i, node in enumerate(g.nodes)} links = [{"target": idx[u], "source": idx[v], "value": 1} for u, v in g.edges] return {"nodes": nodes, "links": links}, xmax, ymax def get_resource_as_string(url): r = requests.get(url) if r.status_code == requests.codes.ok: return r.text raise WorkflowError( "Failed to download resource needed for " "report: {}".format(url) ) def auto_report(dag, path, stylesheet=None): try: from jinja2 import Template, Environment, PackageLoader except ImportError as e: raise WorkflowError( "Python package jinja2 must be installed to create reports." ) mode_embedded = True if path.endswith(".zip"): mode_embedded = False elif not path.endswith(".html"): raise WorkflowError("Report file does not end with .html or .zip") custom_stylesheet = None if stylesheet is not None: try: with open(stylesheet) as s: custom_stylesheet = s.read() except (Exception, BaseException) as e: raise WorkflowError("Unable to read custom report stylesheet.", e) logger.info("Creating report...") env = Environment( loader=PackageLoader("snakemake", "report"), trim_blocks=True, lstrip_blocks=True, ) env.filters["get_resource_as_string"] = get_resource_as_string persistence = dag.workflow.persistence results = defaultdict(lambda: defaultdict(list)) records = defaultdict(JobRecord) recorded_files = set() for job in dag.jobs: for f in itertools.chain(job.expanded_output, job.input): if is_flagged(f, "report") and f not in recorded_files: if not f.exists: raise WorkflowError( "File {} marked for report but does " "not exist.".format(f) ) report_obj = get_flag_value(f, "report") def register_file( f, wildcards_overwrite=None, aux_files=None, name_overwrite=None ): wildcards = wildcards_overwrite or job.wildcards category = Category( report_obj.category, wildcards=wildcards, job=job ) subcategory = Category( report_obj.subcategory, wildcards=wildcards, job=job ) results[category][subcategory].append( FileRecord( f, job, report_obj.caption, env, category, dag.workflow, wildcards_overwrite=wildcards_overwrite, mode_embedded=mode_embedded, aux_files=aux_files, name_overwrite=name_overwrite, ) ) recorded_files.add(f) if os.path.isfile(f): register_file(f) elif os.path.isdir(f): if report_obj.htmlindex: if mode_embedded: raise WorkflowError( "Directory marked for report specifies htmlindex. " "This is unsupported when requesting a pure HTML report. " "Please use store as zip instead (--report report.zip)." ) aux_files = [] index_found = False for root, dirs, files in os.walk(f): for name in files: if name != ".snakemake_timestamp": filepath = os.path.join(root, name) if ( os.path.relpath(filepath, f) != report_obj.htmlindex ): aux_files.append(filepath) else: index_found = True if not index_found: raise WorkflowError( "Given htmlindex {} not found in directory " "marked for report".format(report_obj.htmlindex) ) register_file( os.path.join(f, report_obj.htmlindex), aux_files=aux_files, name_overwrite="{}.html".format(os.path.basename(f)), ) elif report_obj.patterns: if not isinstance(report_obj.patterns, list): raise WorkflowError( "Invalid patterns given for report. Must be list.", rule=job.rule, ) for pattern in report_obj.patterns: pattern = os.path.join(f, pattern) wildcards = glob_wildcards(pattern)._asdict() names = wildcards.keys() for w in zip(*wildcards.values()): w = dict(zip(names, w)) w.update(job.wildcards_dict) w = Wildcards(fromdict=w) f = apply_wildcards(pattern, w) register_file(f, wildcards_overwrite=w) else: raise WorkflowError( "Directory marked for report but neither file patterns " "given via patterns=[...], nor htmlindex given. " "See report documentation.", rule=job.rule, ) for f in job.expanded_output: meta = persistence.metadata(f) if not meta: logger.warning( "Missing metadata for file {}. Maybe metadata " "was deleted or it was created using an older " "version of Snakemake. This is a non critical " "warning.".format(f) ) continue def get_time(rectime, metatime, sel_func): if metatime is None: return rectime return sel_func(metatime, rectime) try: job_hash = meta["job_hash"] rule = meta["rule"] rec = records[(job_hash, rule)] rec.rule = rule rec.job = job rec.starttime = get_time(rec.starttime, meta["starttime"], min) rec.endtime = get_time(rec.endtime, meta["endtime"], max) rec.conda_env_file = None rec.conda_env = meta["conda_env"] rec.container_img_url = meta["container_img_url"] rec.output.append(f) except KeyError as e: print(e) logger.warning( "Metadata for file {} was created with a too " "old Snakemake version.".format(f) ) for subcats in results.values(): for catresults in subcats.values(): catresults.sort(key=lambda res: res.name) # prepare runtimes runtimes = [ {"rule": rec.rule, "runtime": rec.endtime - rec.starttime} for rec in sorted(records.values(), key=lambda rec: rec.rule) ] def get_datetime(rectime): try: return datetime.datetime.fromtimestamp(rectime).isoformat() except OSError: return None # prepare end times timeline = [ { "rule": rec.rule, "starttime": get_datetime(rec.starttime), "endtime": get_datetime(rec.endtime), } for rec in sorted(records.values(), key=lambda rec: rec.rule) ] # prepare per-rule information rules = defaultdict(list) for rec in records.values(): rule = RuleRecord(rec.job, rec) if rec.rule not in rules: rules[rec.rule].append(rule) else: merged = False for other in rules[rec.rule]: if rule == other: other.add(rec) merged = True break if not merged: rules[rec.rule].append(rule) # rulegraph rulegraph, xmax, ymax = rulegraph_d3_spec(dag) # configfiles configfiles = [ConfigfileRecord(f) for f in dag.workflow.configfiles] seen = set() files = [ seen.add(res.target) or res for cat in results.values() for subcat in cat.values() for res in subcat if res.target not in seen ] rst_links = textwrap.dedent( """ .. _Workflow: javascript:show_panel('workflow') .. _Statistics: javascript:show_panel('statistics') {% for cat, catresults in categories|dictsort %} .. _{{ cat.name }}: javascript:show_panel("{{ cat.id }}") {% endfor %} {% for res in files %} .. _{{ res.target }}: javascript:show_panel("{{ res.category.id }}") {% endfor %} """ ) for cat, subcats in results.items(): for subcat, catresults in subcats.items(): for res in catresults: res.render(env, rst_links, results, files) # global description text = "" if dag.workflow.report_text: with dag.workflow.sourcecache.open(dag.workflow.report_text) as f: class Snakemake: config = dag.workflow.config text = f.read() + rst_links text = publish_parts( env.from_string(text).render( snakemake=Snakemake, categories=results, files=files ), writer_name="html", )["body"] # record time now = "{} {}".format(datetime.datetime.now().ctime(), time.tzname[0]) results_size = sum( res.size for cat in results.values() for subcat in cat.values() for res in subcat ) try: from pygments.formatters import HtmlFormatter except ImportError: raise WorkflowError( "Python package pygments must be installed to create reports." ) template = env.get_template("report.html.jinja2") logger.info("Downloading resources and rendering HTML.") rendered = template.render( results=results, results_size=results_size, configfiles=configfiles, text=text, rulegraph_nodes=rulegraph["nodes"], rulegraph_links=rulegraph["links"], rulegraph_width=xmax + 20, rulegraph_height=ymax + 20, runtimes=runtimes, timeline=timeline, rules=[rec for recs in rules.values() for rec in recs], version=__version__, now=now, pygments_css=HtmlFormatter(style="trac").get_style_defs(".source"), custom_stylesheet=custom_stylesheet, mode_embedded=mode_embedded, ) # TODO look into supporting .WARC format, also see (https://webrecorder.io) if not mode_embedded: with ZipFile(path, compression=ZIP_DEFLATED, mode="w") as zipout: folder = Path(Path(path).stem) # store results in data folder for subcats in results.values(): for catresults in subcats.values(): for result in catresults: # write raw data zipout.write(result.path, str(folder.joinpath(result.data_uri))) # write thumbnail if result.is_img and result.png_content: zipout.writestr( str(folder.joinpath(result.png_uri)), result.png_content ) # write aux files parent = folder.joinpath(result.data_uri).parent for aux_path in result.aux_files: # print(aux_path, parent, str(parent.joinpath(os.path.relpath(aux_path, os.path.dirname(result.path))))) zipout.write( aux_path, str( parent.joinpath( os.path.relpath( aux_path, os.path.dirname(result.path) ) ) ), ) # write report html zipout.writestr(str(folder.joinpath("report.html")), rendered) else: with open(path, "w", encoding="utf-8") as htmlout: htmlout.write(rendered) logger.info("Report created: {}.".format(path)) snakemake-6.15.1/snakemake/report/report.html.jinja2000066400000000000000000000711341417574166400224170ustar00rootroot00000000000000 Snakemake Report {% if custom_stylesheet is not none %} {% endif %}

Loading Snakemake Report...

Please enable Javascript in your browser to see this report.

{% if mode_embedded %}

Loading {{ results_size|filesizeformat }}. For large reports, this can take a while.

{% endif %}

Workflow

{{ text }}

Click the nodes to obtain details about each step.

{% for cat, subcats in results|dictsort %}

{{ cat.name }}

{% for subcat, catresults in subcats|dictsort %} {% if subcats|length > 1 or not subcat.is_other %}

{{ subcat.name }}

{% endif %}
{% if not loop.last %}
{% endif %} {% endfor %}
{% endfor %}

Statistics

If the workflow has been executed in cluster/cloud, runtimes include the waiting time in the queue.
{% if configfiles %}

Configuration

{% for configfile in configfiles %} {% endfor %}
Configuration files
File Code
{{ configfile.name }}
{{ configfile.code()|safe }}
{% endif %}

Loading...

{% for rule in rules %} {% endfor %}
{% if mode_embedded %} {% endif %} snakemake-6.15.1/snakemake/resources.py000066400000000000000000000104361417574166400201110ustar00rootroot00000000000000import re import tempfile from snakemake.exceptions import WorkflowError class DefaultResources: defaults = { "mem_mb": "max(2*input.size_mb, 1000)", "disk_mb": "max(2*input.size_mb, 1000)", "tmpdir": "system_tmpdir", } bare_defaults = { "tmpdir": "system_tmpdir", } @classmethod def decode_arg(cls, arg): try: return arg.split("=") except ValueError: raise ValueError("Resources have to be defined as name=value pairs.") @classmethod def encode_arg(cls, name, value): return "{}={}".format(name, value) def __init__(self, args=None, from_other=None, mode="full"): if mode == "full": self._args = dict(DefaultResources.defaults) elif mode == "bare": self._args = dict(DefaultResources.bare_defaults) else: raise ValueError("Unexpected mode for DefaultResources: {}".format(mode)) if from_other is not None: self._args = dict(from_other._args) self.parsed = dict(from_other.parsed) else: if args is None: args = [] self._args.update( {name: value for name, value in map(self.decode_arg, args)} ) def fallback(val): def callable(wildcards, input, attempt, threads, rulename): try: value = eval( val, { "input": input, "attempt": attempt, "threads": threads, "system_tmpdir": tempfile.gettempdir(), }, ) # Triggers for string arguments like n1-standard-4 except NameError: return val except Exception as e: if not ( isinstance(e, FileNotFoundError) and e.filename in input ): # Missing input files are handled by the caller raise WorkflowError( "Failed to evaluate DefaultResources value " "'{}'.\n" " String arguments may need additional " "quoting. Ex: --default-resources " "\"tmpdir='/home/user/tmp'\".".format(val) ) raise e return value return callable self.parsed = dict(_cores=1, _nodes=1) self.parsed.update(parse_resources(self._args, fallback=fallback)) def set_resource(self, name, value): self._args[name] = "{}".format(value) self.parsed[name] = value @property def args(self): return [self.encode_arg(name, value) for name, value in self._args.items()] def __bool__(self): return bool(self.parsed) def parse_resources(resources_args, fallback=None): """Parse resources from args.""" resources = dict() if resources_args is not None: valid = re.compile(r"[a-zA-Z_]\w*$") if isinstance(resources_args, list): resources_args = map(DefaultResources.decode_arg, resources_args) else: resources_args = resources_args.items() for res, val in resources_args: if not valid.match(res): raise ValueError( "Resource definition must start with a valid identifier, but found {}.".format( res ) ) try: val = int(val) except ValueError: if fallback is not None: val = fallback(val) else: raise ValueError( "Resource definiton must contain an integer after the identifier." ) if res == "_cores": raise ValueError( "Resource _cores is already defined internally. Use a different name." ) resources[res] = val return resources snakemake-6.15.1/snakemake/ruleinfo.py000066400000000000000000000040261417574166400177200ustar00rootroot00000000000000__authors__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" from copy import copy class RuleInfo: def __init__(self, func=None): self.func = func self.shellcmd = None self.name = None self.norun = False self.input = None self.output = None self.params = None self.message = None self.benchmark = None self.conda_env = None self.container_img = None self.is_containerized = False self.env_modules = None self.wildcard_constraints = None self.threads = None self.shadow_depth = None self.resources = None self.priority = None self.version = None self.log = None self.docstring = None self.group = None self.script = None self.notebook = None self.wrapper = None self.cwl = None self.cache = False self.path_modifier = None self.handover = False self.default_target = False def apply_modifier( self, modifier, prefix_replacables={"input", "output", "log", "benchmark"} ): """Update this ruleinfo with the given one (used for 'use rule' overrides).""" path_modifier = modifier.path_modifier skips = set() if modifier.ruleinfo_overwrite: for key, value in modifier.ruleinfo_overwrite.__dict__.items(): if key != "func" and value is not None: self.__dict__[key] = value if key in prefix_replacables: skips.add(key) if path_modifier.modifies_prefixes and skips: # use a specialized copy of the path modifier path_modifier = copy(path_modifier) path_modifier.skip_properties = skips # add path modifier self.path_modifier = path_modifier # modify wrapper if requested self.wrapper = modifier.modify_wrapper_uri(self.wrapper) snakemake-6.15.1/snakemake/rules.py000066400000000000000000001246521417574166400172370ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import re from snakemake.path_modifier import PATH_MODIFIER_FLAG import sys import inspect import sre_constants import collections from urllib.parse import urljoin from pathlib import Path from itertools import chain from functools import partial from snakemake.io import ( IOFile, _IOFile, protected, temp, dynamic, Namedlist, AnnotatedString, contains_wildcard_constraints, update_wildcard_constraints, flag, get_flag_value, ) from snakemake.io import ( expand, InputFiles, OutputFiles, Wildcards, Params, Log, Resources, strip_wildcard_constraints, ) from snakemake.io import ( apply_wildcards, is_flagged, not_iterable, is_callable, DYNAMIC_FILL, ReportObject, ) from snakemake.exceptions import ( RuleException, IOFileException, WildcardError, InputFunctionException, WorkflowError, IncompleteCheckpointException, ) from snakemake.logging import logger from snakemake.common import Mode, ON_WINDOWS, lazy_property, TBDString import snakemake.io class Rule: def __init__(self, *args, lineno=None, snakefile=None, restart_times=0): """ Create a rule Arguments name -- the name of the rule """ if len(args) == 2: name, workflow = args self.name = name self.workflow = workflow self.docstring = None self.message = None self._input = InputFiles() self._output = OutputFiles() self._params = Params() self._wildcard_constraints = dict() self.dependencies = dict() self.dynamic_output = set() self.dynamic_input = set() self.temp_output = set() self.protected_output = set() self.touch_output = set() self.subworkflow_input = dict() self.shadow_depth = None self.resources = None self.priority = 0 self._version = None self._log = Log() self._benchmark = None self._conda_env = None self._container_img = None self.is_containerized = False self.env_modules = None self.group = None self._wildcard_names = None self.lineno = lineno self.snakefile = snakefile self.run_func = None self.shellcmd = None self.script = None self.notebook = None self.wrapper = None self.cwl = None self.norun = False self.is_handover = False self.is_branched = False self.is_checkpoint = False self.restart_times = 0 self.basedir = None self.path_modifer = None self.ruleinfo = None elif len(args) == 1: other = args[0] self.name = other.name self.workflow = other.workflow self.docstring = other.docstring self.message = other.message self._input = InputFiles(other._input) self._output = OutputFiles(other._output) self._params = Params(other._params) self._wildcard_constraints = dict(other._wildcard_constraints) self.dependencies = dict(other.dependencies) self.dynamic_output = set(other.dynamic_output) self.dynamic_input = set(other.dynamic_input) self.temp_output = set(other.temp_output) self.protected_output = set(other.protected_output) self.touch_output = set(other.touch_output) self.subworkflow_input = dict(other.subworkflow_input) self.shadow_depth = other.shadow_depth self.resources = other.resources self.priority = other.priority self.version = other.version self._log = other._log self._benchmark = other._benchmark self._conda_env = other._conda_env self._container_img = other._container_img self.is_containerized = other.is_containerized self.env_modules = other.env_modules self.group = other.group self._wildcard_names = ( set(other._wildcard_names) if other._wildcard_names is not None else None ) self.lineno = other.lineno self.snakefile = other.snakefile self.run_func = other.run_func self.shellcmd = other.shellcmd self.script = other.script self.notebook = other.notebook self.wrapper = other.wrapper self.cwl = other.cwl self.norun = other.norun self.is_handover = other.is_handover self.is_branched = True self.is_checkpoint = other.is_checkpoint self.restart_times = other.restart_times self.basedir = other.basedir self.path_modifier = other.path_modifier self.ruleinfo = other.ruleinfo def dynamic_branch(self, wildcards, input=True): def get_io(rule): return ( (rule.input, rule.dynamic_input) if input else (rule.output, rule.dynamic_output) ) def partially_expand(f, wildcards): """Expand the wildcards in f from the ones present in wildcards This is done by replacing all wildcard delimiters by `{{` or `}}` that are not in `wildcards.keys()`. """ # perform the partial expansion from f's string representation s = str(f).replace("{", "{{").replace("}", "}}") for key in wildcards.keys(): s = s.replace("{{{{{}}}}}".format(key), "{{{}}}".format(key)) # build result anno_s = AnnotatedString(s) anno_s.flags = f.flags return IOFile(anno_s, f.rule) io, dynamic_io = get_io(self) branch = Rule(self) io_, dynamic_io_ = get_io(branch) expansion = collections.defaultdict(list) for i, f in enumerate(io): if f in dynamic_io: f = partially_expand(f, wildcards) try: for e in reversed(expand(str(f), zip, **wildcards)): # need to clone the flags so intermediate # dynamic remote file paths are expanded and # removed appropriately ioFile = IOFile(e, rule=branch) ioFile.clone_flags(f) expansion[i].append(ioFile) except KeyError: return None # replace the dynamic files with the expanded files replacements = [(i, io[i], e) for i, e in reversed(list(expansion.items()))] for i, old, exp in replacements: dynamic_io_.remove(old) io_._insert_items(i, exp) if not input: for i, old, exp in replacements: if old in branch.temp_output: branch.temp_output.discard(old) branch.temp_output.update(exp) if old in branch.protected_output: branch.protected_output.discard(old) branch.protected_output.update(exp) if old in branch.touch_output: branch.touch_output.discard(old) branch.touch_output.update(exp) branch.wildcard_names.clear() non_dynamic_wildcards = dict( (name, values[0]) for name, values in wildcards.items() if len(set(values)) == 1 ) # TODO have a look into how to concretize dependencies here branch._input, _, branch.dependencies = branch.expand_input( non_dynamic_wildcards ) branch._output, _ = branch.expand_output(non_dynamic_wildcards) resources = branch.expand_resources(non_dynamic_wildcards, branch._input, 1) branch._params = branch.expand_params( non_dynamic_wildcards, branch._input, branch._output, resources, omit_callable=True, ) branch.resources = dict(resources.items()) branch._log = branch.expand_log(non_dynamic_wildcards) branch._benchmark = branch.expand_benchmark(non_dynamic_wildcards) branch._conda_env = branch.expand_conda_env(non_dynamic_wildcards) return branch, non_dynamic_wildcards return branch @property def is_shell(self): return self.shellcmd is not None @property def is_script(self): return self.script is not None @property def is_notebook(self): return self.notebook is not None @property def is_wrapper(self): return self.wrapper is not None @property def is_cwl(self): return self.cwl is not None @property def is_run(self): return not ( self.is_shell or self.norun or self.is_script or self.is_notebook or self.is_wrapper or self.is_cwl ) def check_caching(self): if self.name in self.workflow.cache_rules: if len(self.output) == 0: raise RuleException( "Rules without output files cannot be cached.", rule=self ) if len(self.output) > 1: prefixes = set(out.multiext_prefix for out in self.output) if None in prefixes or len(prefixes) > 1: raise RuleException( "Rules with multiple output files must define them as a single multiext() " '(e.g. multiext("path/to/index", ".bwt", ".ann")). ' "The rationale is that multiple output files can only be unambiously resolved " "if they can be distinguished by a fixed set of extensions (i.e. mime types).", rule=self, ) if self.dynamic_output: raise RuleException( "Rules with dynamic output files may not be cached.", rule=self ) def has_wildcards(self): """ Return True if rule contains wildcards. """ return bool(self.wildcard_names) @property def version(self): return self._version @version.setter def version(self, version): if isinstance(version, str) and "\n" in version: raise WorkflowError( "Version string may not contain line breaks.", rule=self ) self._version = version @property def benchmark(self): return self._benchmark @benchmark.setter def benchmark(self, benchmark): if isinstance(benchmark, Path): benchmark = str(benchmark) if not callable(benchmark): benchmark = self.apply_path_modifier(benchmark, property="benchmark") benchmark = self._update_item_wildcard_constraints(benchmark) self._benchmark = IOFile(benchmark, rule=self) self.register_wildcards(self._benchmark.get_wildcard_names()) @property def conda_env(self): return self._conda_env @conda_env.setter def conda_env(self, conda_env): from snakemake.deployment.conda import ( is_conda_env_file, CondaEnvFileSpec, CondaEnvNameSpec, ) if is_conda_env_file(conda_env): self._conda_env = CondaEnvFileSpec(conda_env, rule=self) else: self._conda_env = CondaEnvNameSpec(conda_env) @property def container_img(self): return self._container_img @container_img.setter def container_img(self, container_img): self._container_img = container_img @property def input(self): return self._input def set_input(self, *input, **kwinput): """ Add a list of input files. Recursive lists are flattened. Arguments input -- the list of input files """ for item in input: self._set_inoutput_item(item) for name, item in kwinput.items(): self._set_inoutput_item(item, name=name) @property def output(self): return self._output @property def products(self): if self.benchmark: return chain(self.output, self.log, [self.benchmark]) else: return chain(self.output, self.log) def register_wildcards(self, wildcard_names): if self._wildcard_names is None: self._wildcard_names = wildcard_names else: if self.wildcard_names != wildcard_names: raise SyntaxError( "Not all output, log and benchmark files of " "rule {} contain the same wildcards. " "This is crucial though, in order to " "avoid that two or more jobs write to the " "same file.".format(self.name) ) @property def wildcard_names(self): if self._wildcard_names is None: return set() return self._wildcard_names def set_output(self, *output, **kwoutput): """ Add a list of output files. Recursive lists are flattened. After creating the output files, they are checked for duplicates. Arguments output -- the list of output files """ for item in output: self._set_inoutput_item(item, output=True) for name, item in kwoutput.items(): self._set_inoutput_item(item, output=True, name=name) for item in self.output: if self.dynamic_output and item not in self.dynamic_output: raise SyntaxError( "A rule with dynamic output may not define any " "non-dynamic output files." ) self.register_wildcards(item.get_wildcard_names()) # Check output file name list for duplicates self.check_output_duplicates() self.check_caching() def check_output_duplicates(self): """Check ``Namedlist`` for duplicate entries and raise a ``WorkflowError`` on problems. """ seen = dict() idx = None for name, value in self.output._allitems(): if name is None: if idx is None: idx = 0 else: idx += 1 if value in seen: raise WorkflowError( "Duplicate output file pattern in rule {}. First two " "duplicate for entries {} and {}".format( self.name, seen[value], name or idx ) ) seen[value] = name or idx def apply_path_modifier(self, item, property=None): assert self.path_modifier is not None apply = partial(self.path_modifier.modify, property=property) assert not callable(item) if isinstance(item, dict): return {k: apply(v) for k, v in item.items()} elif isinstance(item, collections.abc.Iterable) and not isinstance(item, str): return [apply(e) for e in item] else: return apply(item) def update_wildcard_constraints(self): for i in range(len(self.output)): item = self.output[i] newitem = IOFile( self._update_item_wildcard_constraints(self.output[i]), rule=self ) # the updated item has to have the same flags newitem.clone_flags(item) self.output[i] = newitem def _update_item_wildcard_constraints(self, item): if not (self.wildcard_constraints or self.workflow._wildcard_constraints): return item try: return update_wildcard_constraints( item, self.wildcard_constraints, self.workflow._wildcard_constraints ) except ValueError as e: raise IOFileException(str(e), snakefile=self.snakefile, lineno=self.lineno) def _set_inoutput_item(self, item, output=False, name=None): """ Set an item to be input or output. Arguments item -- the item inoutput -- a Namedlist of either input or output items name -- an optional name for the item """ inoutput = self.output if output else self.input # Check to see if the item is a path, if so, just make it a string if isinstance(item, Path): item = str(item) if isinstance(item, str): if ON_WINDOWS: if isinstance(item, (_IOFile, AnnotatedString)): item = item.new_from(item.replace(os.sep, os.altsep)) else: item = item.replace(os.sep, os.altsep) rule_dependency = None if isinstance(item, _IOFile) and item.rule and item in item.rule.output: rule_dependency = item.rule item = self.apply_path_modifier( item, property="output" if output else "input" ) # Check to see that all flags are valid # Note that "remote", "dynamic", and "expand" are valid for both inputs and outputs. if isinstance(item, AnnotatedString): for flag in item.flags: if not output and flag in [ "protected", "temp", "temporary", "directory", "touch", "pipe", ]: logger.warning( "The flag '{}' used in rule {} is only valid for outputs, not inputs.".format( flag, self ) ) if output and flag in ["ancient"]: logger.warning( "The flag '{}' used in rule {} is only valid for inputs, not outputs.".format( flag, self ) ) # add the rule to the dependencies if rule_dependency is not None: self.dependencies[item] = rule_dependency if output: item = self._update_item_wildcard_constraints(item) else: if ( contains_wildcard_constraints(item) and self.workflow.mode != Mode.subprocess ): logger.warning( "Wildcard constraints in inputs are ignored. (rule: {})".format( self ) ) if self.workflow.all_temp and output: # mark as temp if all output files shall be marked as temp item = snakemake.io.flag(item, "temp") # record rule if this is an output file output _item = IOFile(item, rule=self) if is_flagged(item, "temp"): if output: self.temp_output.add(_item) if is_flagged(item, "protected"): if output: self.protected_output.add(_item) if is_flagged(item, "touch"): if output: self.touch_output.add(_item) if is_flagged(item, "dynamic"): if output: self.dynamic_output.add(_item) else: self.dynamic_input.add(_item) if is_flagged(item, "report"): report_obj = item.flags["report"] if report_obj.caption is not None: r = ReportObject( self.workflow.current_basedir.join(report_obj.caption), report_obj.category, report_obj.subcategory, report_obj.patterns, report_obj.htmlindex, ) item.flags["report"] = r if is_flagged(item, "subworkflow"): if output: raise SyntaxError("Only input files may refer to a subworkflow") else: # record the workflow this item comes from sub = item.flags["subworkflow"] if _item in self.subworkflow_input: other = self.subworkflow_input[_item] if sub != other: raise WorkflowError( "The input file {} is ambiguously " "associated with two subworkflows " "{} and {}.".format(item, sub, other), rule=self, ) self.subworkflow_input[_item] = sub inoutput.append(_item) if name: inoutput._add_name(name) elif callable(item): if output: raise SyntaxError("Only input files can be specified as functions") inoutput.append(item) if name: inoutput._add_name(name) else: try: start = len(inoutput) for i in item: self._set_inoutput_item(i, output=output) if name: # if the list was named, make it accessible inoutput._set_name(name, start, end=len(inoutput)) except TypeError: raise SyntaxError( "Input and output files have to be specified as strings or lists of strings." ) @property def params(self): return self._params def set_params(self, *params, **kwparams): for item in params: self._set_params_item(item) for name, item in kwparams.items(): self._set_params_item(item, name=name) def _set_params_item(self, item, name=None): self.params.append(item) if name: self.params._add_name(name) @property def wildcard_constraints(self): return self._wildcard_constraints def set_wildcard_constraints(self, **kwwildcard_constraints): self._wildcard_constraints.update(kwwildcard_constraints) @property def log(self): return self._log def set_log(self, *logs, **kwlogs): for item in logs: self._set_log_item(item) for name, item in kwlogs.items(): self._set_log_item(item, name=name) for item in self.log: self.register_wildcards(item.get_wildcard_names()) def _set_log_item(self, item, name=None): # Pathlib compatibility if isinstance(item, Path): item = str(item) if isinstance(item, str) or callable(item): if not callable(item): item = self.apply_path_modifier(item, property="log") item = self._update_item_wildcard_constraints(item) self.log.append(IOFile(item, rule=self) if isinstance(item, str) else item) if name: self.log._add_name(name) else: try: start = len(self.log) for i in item: self._set_log_item(i) if name: self.log._set_name(name, start, end=len(self.log)) except TypeError: raise SyntaxError("Log files have to be specified as strings.") def check_wildcards(self, wildcards): missing_wildcards = self.wildcard_names - set(wildcards.keys()) if missing_wildcards: raise RuleException( "Could not resolve wildcards in rule {}:\n{}".format( self.name, "\n".join(self.wildcard_names) ), lineno=self.lineno, snakefile=self.snakefile, ) def apply_input_function( self, func, wildcards, incomplete_checkpoint_func=lambda e: None, raw_exceptions=False, **aux_params ): incomplete = False if isinstance(func, _IOFile): func = func._file.callable elif isinstance(func, AnnotatedString): func = func.callable sig = inspect.signature(func) _aux_params = {k: v for k, v in aux_params.items() if k in sig.parameters} try: value = func(Wildcards(fromdict=wildcards), **_aux_params) except IncompleteCheckpointException as e: value = incomplete_checkpoint_func(e) incomplete = True except FileNotFoundError as e: # Function evaluation can depend on input files. Since expansion can happen during dryrun, # where input files are not yet present, we need to skip such cases and # mark them as . if "input" in aux_params and e.filename in aux_params["input"]: value = TBDString() else: raise e except (Exception, BaseException) as e: if raw_exceptions: raise e else: raise InputFunctionException(e, rule=self, wildcards=wildcards) return value, incomplete def _apply_wildcards( self, newitems, olditems, wildcards, concretize=None, check_return_type=True, omit_callable=False, mapping=None, no_flattening=False, aux_params=None, apply_path_modifier=True, property=None, incomplete_checkpoint_func=lambda e: None, allow_unpack=True, ): if aux_params is None: aux_params = dict() for name, item in olditems._allitems(): start = len(newitems) is_unpack = is_flagged(item, "unpack") _is_callable = is_callable(item) if _is_callable: if omit_callable: continue item, incomplete = self.apply_input_function( item, wildcards, incomplete_checkpoint_func=incomplete_checkpoint_func, is_unpack=is_unpack, **aux_params ) if apply_path_modifier: item = self.apply_path_modifier(item, property=property) if is_unpack and not incomplete: if not allow_unpack: raise WorkflowError( "unpack() is not allowed with params. " "Simply return a dictionary which can be directly ." "used, e.g. via {params[mykey]}." ) # Sanity checks before interpreting unpack() if not isinstance(item, (list, dict)): raise WorkflowError( "Can only use unpack() on list and dict", rule=self ) if name: raise WorkflowError( "Cannot combine named input file with unpack()", rule=self ) # Allow streamlined code with/without unpack if isinstance(item, list): pairs = zip([None] * len(item), item) else: assert isinstance(item, dict) pairs = item.items() else: pairs = [(name, item)] for name, item in pairs: is_iterable = True if not_iterable(item) or no_flattening: item = [item] is_iterable = False for item_ in item: if ( check_return_type and not isinstance(item_, str) and not isinstance(item_, Path) ): raise WorkflowError( "Function did not return str or list " "of str.", rule=self ) concrete = concretize(item_, wildcards, _is_callable) newitems.append(concrete) if mapping is not None: mapping[concrete] = item_ if name: newitems._set_name( name, start, end=len(newitems) if is_iterable else None ) start = len(newitems) def expand_input(self, wildcards): def concretize_iofile(f, wildcards, is_from_callable): if is_from_callable: if isinstance(f, Path): f = str(f) return IOFile(f, rule=self).apply_wildcards( wildcards, fill_missing=f in self.dynamic_input, fail_dynamic=self.dynamic_output, ) else: return f.apply_wildcards( wildcards, fill_missing=f in self.dynamic_input, fail_dynamic=self.dynamic_output, ) def handle_incomplete_checkpoint(exception): """If checkpoint is incomplete, target it such that it is completed before this rule gets executed.""" return exception.targetfile input = InputFiles() mapping = dict() try: self._apply_wildcards( input, self.input, wildcards, concretize=concretize_iofile, mapping=mapping, incomplete_checkpoint_func=handle_incomplete_checkpoint, property="input", ) except WildcardError as e: raise WildcardError( "Wildcards in input files cannot be " "determined from output files:", str(e), rule=self, ) if self.dependencies: dependencies = { f: self.dependencies[f_] for f, f_ in mapping.items() if f_ in self.dependencies } if None in self.dependencies: dependencies[None] = self.dependencies[None] else: dependencies = self.dependencies for f in input: f.check() return input, mapping, dependencies def expand_params(self, wildcards, input, output, resources, omit_callable=False): def concretize_param(p, wildcards, is_from_callable): if not is_from_callable: if isinstance(p, str): return apply_wildcards(p, wildcards) if isinstance(p, list): return [ (apply_wildcards(v, wildcards) if isinstance(v, str) else v) for v in p ] return p def handle_incomplete_checkpoint(exception): """If checkpoint is incomplete, target it such that it is completed before this rule gets executed.""" print(exception.targetfile) if exception.targetfile in input: return TBDString() else: raise WorkflowError( "Rule parameter depends on checkpoint but checkpoint output is not defined as input file for the rule. " "Please add the output of the respective checkpoint to the rule inputs." ) params = Params() try: # When applying wildcards to params, the return type need not be # a string, so the check is disabled. self._apply_wildcards( params, self.params, wildcards, concretize=concretize_param, check_return_type=False, omit_callable=omit_callable, allow_unpack=False, no_flattening=True, apply_path_modifier=False, property="params", aux_params={ "input": input._plainstrings(), "resources": resources, "output": output._plainstrings(), "threads": resources._cores, }, incomplete_checkpoint_func=handle_incomplete_checkpoint, ) except WildcardError as e: raise WildcardError( "Wildcards in params cannot be " "determined from output files. Note that you have " "to use a function to deactivate automatic wildcard expansion " "in params strings, e.g., `lambda wildcards: '{test}'`. Also " "see https://snakemake.readthedocs.io/en/stable/snakefiles/" "rules.html#non-file-parameters-for-rules:", str(e), rule=self, ) return params def expand_output(self, wildcards): output = OutputFiles(o.apply_wildcards(wildcards) for o in self.output) output._take_names(self.output._get_names()) mapping = {f: f_ for f, f_ in zip(output, self.output)} for f in output: f.check() # Note that we do not need to check for duplicate file names after # expansion as all output patterns have contain all wildcards anyway. return output, mapping def expand_log(self, wildcards): def concretize_logfile(f, wildcards, is_from_callable): if is_from_callable: return IOFile(f, rule=self) else: return f.apply_wildcards( wildcards, fill_missing=False, fail_dynamic=self.dynamic_output ) log = Log() try: self._apply_wildcards( log, self.log, wildcards, concretize=concretize_logfile, property="log" ) except WildcardError as e: raise WildcardError( "Wildcards in log files cannot be " "determined from output files:", str(e), rule=self, ) for f in log: f.check() return log def expand_benchmark(self, wildcards): try: benchmark = ( self.benchmark.apply_wildcards(wildcards) if self.benchmark else None ) except WildcardError as e: raise WildcardError( "Wildcards in benchmark file cannot be " "determined from output files:", str(e), rule=self, ) if benchmark is not None: benchmark.check() return benchmark def expand_resources(self, wildcards, input, attempt): resources = dict() def apply(name, res, threads=None): if callable(res): aux = dict(rulename=self.name) if threads is not None: aux["threads"] = threads try: res, _ = self.apply_input_function( res, wildcards, input=input, attempt=attempt, incomplete_checkpoint_func=lambda e: 0, raw_exceptions=True, **aux ) except (Exception, BaseException) as e: raise InputFunctionException(e, rule=self, wildcards=wildcards) if isinstance(res, float): # round to integer res = int(round(res)) if not isinstance(res, int) and not isinstance(res, str): raise WorkflowError( "Resources function did not return int, float (floats are " "rouded to the nearest integer), or str.", rule=self, ) if isinstance(res, int): global_res = self.workflow.global_resources.get(name, res) if global_res is not None: res = min(global_res, res) return res threads = apply("_cores", self.resources["_cores"]) if self.workflow.max_threads is not None: threads = min(threads, self.workflow.max_threads) resources["_cores"] = threads for name, res in self.resources.items(): if name != "_cores": resources[name] = apply(name, res, threads=threads) resources = Resources(fromdict=resources) return resources def expand_group(self, wildcards): """Expand the group given wildcards.""" if callable(self.group): item, _ = self.apply_input_function(self.group, wildcards) return item elif isinstance(self.group, str): return apply_wildcards(self.group, wildcards, dynamic_fill=DYNAMIC_FILL) else: return self.group def expand_conda_env(self, wildcards): try: conda_env = ( self.conda_env.apply_wildcards(wildcards) if self.conda_env else None ) except WildcardError as e: raise WildcardError( "Wildcards in conda environment file cannot be " "determined from output files:", str(e), rule=self, ) if conda_env is not None: conda_env.check() return conda_env def is_producer(self, requested_output): """ Returns True if this rule is a producer of the requested output. """ try: for o in self.products: if o.match(requested_output): return True return False except sre_constants.error as ex: raise IOFileException( "{} in wildcard statement".format(ex), snakefile=self.snakefile, lineno=self.lineno, ) except ValueError as ex: raise IOFileException( "{}".format(ex), snakefile=self.snakefile, lineno=self.lineno ) def get_wildcards(self, requested_output): """ Return wildcard dictionary by matching regular expression output files to the requested concrete ones. Arguments requested_output -- a concrete filepath """ if requested_output is None: return dict() bestmatchlen = 0 bestmatch = None for o in self.products: match = o.match(requested_output) if match: l = self.get_wildcard_len(match.groupdict()) if not bestmatch or bestmatchlen > l: bestmatch = match.groupdict() bestmatchlen = l self.check_wildcards(bestmatch) return bestmatch @staticmethod def get_wildcard_len(wildcards): """ Return the length of the given wildcard values. Arguments wildcards -- a dict of wildcards """ return sum(map(len, wildcards.values())) def __lt__(self, rule): comp = self.workflow._ruleorder.compare(self, rule) return comp < 0 def __gt__(self, rule): comp = self.workflow._ruleorder.compare(self, rule) return comp > 0 def __str__(self): return self.name def __hash__(self): return self.name.__hash__() def __eq__(self, other): return self.name == other.name and self.output == other.output class Ruleorder: def __init__(self): self.order = list() def add(self, *rulenames): """ Records the order of given rules as rule1 > rule2 > rule3, ... """ self.order.append(list(rulenames)) def compare(self, rule1, rule2): """ Return whether rule2 has a higher priority than rule1. """ # if rules have the same name, they have been specialized by dynamic output # in that case, clauses are irrelevant and have to be skipped if rule1.name != rule2.name: # try the last clause first, # i.e. clauses added later overwrite those before. for clause in reversed(self.order): try: i = clause.index(rule1.name) j = clause.index(rule2.name) # rules with higher priority should have a smaller index comp = j - i if comp < 0: comp = -1 elif comp > 0: comp = 1 return comp except ValueError: pass # if no ruleorder given, prefer rule without wildcards wildcard_cmp = rule2.has_wildcards() - rule1.has_wildcards() if wildcard_cmp != 0: return wildcard_cmp return 0 def __iter__(self): return self.order.__iter__() class RuleProxy: def __init__(self, rule): self.rule = rule @lazy_property def output(self): return self._to_iofile(self.rule.output) @lazy_property def input(self): return self.rule.input._stripped_constraints() @lazy_property def params(self): return self.rule.params._clone() @property def benchmark(self): return IOFile(strip_wildcard_constraints(self.rule.benchmark), rule=self.rule) @lazy_property def log(self): return self._to_iofile(self.rule.log) def _to_iofile(self, files): def cleanup(f): prefix = self.rule.workflow.default_remote_prefix # remove constraints and turn this into a plain string cleaned = strip_wildcard_constraints(f) modified_by = get_flag_value(f, PATH_MODIFIER_FLAG) if ( self.rule.workflow.default_remote_provider is not None and f.startswith(prefix) and not is_flagged(f, "local") ): cleaned = f[len(prefix) + 1 :] cleaned = IOFile(cleaned, rule=self.rule) else: cleaned = IOFile(AnnotatedString(cleaned), rule=self.rule) cleaned.clone_remote_object(f) if modified_by is not None: cleaned.flags[PATH_MODIFIER_FLAG] = modified_by return cleaned files = Namedlist(files, custom_map=cleanup) return files snakemake-6.15.1/snakemake/scheduler.py000066400000000000000000001015761417574166400200630ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os, signal, sys import threading import operator import time import math import asyncio from functools import partial from collections import defaultdict from itertools import chain, accumulate, product from contextlib import ContextDecorator from snakemake.executors import DryrunExecutor, TouchExecutor, CPUExecutor from snakemake.executors import ( GenericClusterExecutor, SynchronousClusterExecutor, DRMAAExecutor, KubernetesExecutor, TibannaExecutor, ) from snakemake.executors.google_lifesciences import GoogleLifeSciencesExecutor from snakemake.executors.ga4gh_tes import TaskExecutionServiceExecutor from snakemake.exceptions import RuleException, WorkflowError, print_exception from snakemake.shell import shell from snakemake.common import async_run from snakemake.logging import logger from fractions import Fraction def cumsum(iterable, zero=[0]): return list(chain(zero, accumulate(iterable))) _ERROR_MSG_FINAL = ( "Exiting because a job execution failed. " "Look above for error message" ) class DummyRateLimiter(ContextDecorator): def __enter__(self): return self def __exit__(self, *args): return False class JobScheduler: def __init__( self, workflow, dag, local_cores=1, dryrun=False, touch=False, cluster=None, cluster_status=None, cluster_config=None, cluster_sync=None, drmaa=None, drmaa_log_dir=None, kubernetes=None, container_image=None, tibanna=None, tibanna_sfn=None, google_lifesciences=None, google_lifesciences_regions=None, google_lifesciences_location=None, google_lifesciences_cache=False, tes=None, precommand="", preemption_default=None, preemptible_rules=None, tibanna_config=False, jobname=None, quiet=False, printreason=False, printshellcmds=False, keepgoing=False, max_jobs_per_second=None, max_status_checks_per_second=100, latency_wait=3, greediness=1.0, force_use_threads=False, assume_shared_fs=True, keepincomplete=False, keepmetadata=True, scheduler_type=None, scheduler_ilp_solver=None, ): """Create a new instance of KnapsackJobScheduler.""" from ratelimiter import RateLimiter cores = workflow.global_resources["_cores"] self.cluster = cluster self.cluster_config = cluster_config self.cluster_sync = cluster_sync self.dag = dag self.workflow = workflow self.dryrun = dryrun self.touch = touch self.quiet = quiet self.keepgoing = keepgoing self.running = set() self.failed = set() self.finished_jobs = 0 self.greediness = 1 self.max_jobs_per_second = max_jobs_per_second self.keepincomplete = keepincomplete self.keepmetadata = keepmetadata self.scheduler_type = scheduler_type self.scheduler_ilp_solver = scheduler_ilp_solver self._tofinish = [] self._toerror = [] self.handle_job_success = True self.update_resources = True self.print_progress = not self.quiet and not self.dryrun self.update_dynamic = not self.dryrun self.global_resources = { name: (sys.maxsize if res is None else res) for name, res in workflow.global_resources.items() } if workflow.global_resources["_nodes"] is not None: # Do not restrict cores locally if nodes are used (i.e. in case of cluster/cloud submission). self.global_resources["_cores"] = sys.maxsize self.resources = dict(self.global_resources) use_threads = ( force_use_threads or (os.name != "posix") or cluster or cluster_sync or drmaa ) self._open_jobs = threading.Semaphore(0) self._lock = threading.Lock() self._errors = False self._executor_error = None self._finished = False self._job_queue = None self._last_job_selection_empty = False self._submit_callback = self._noop self._finish_callback = self._proceed self._local_executor = None if dryrun: self._executor = DryrunExecutor( workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, ) elif touch: self._executor = TouchExecutor( workflow, dag, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, ) elif cluster or cluster_sync or (drmaa is not None): if not workflow.immediate_submit: # No local jobs when using immediate submit! # Otherwise, they will fail due to missing input self._local_executor = CPUExecutor( workflow, dag, local_cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cores=local_cores, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) if cluster or cluster_sync: if cluster_sync: constructor = SynchronousClusterExecutor else: constructor = partial( GenericClusterExecutor, statuscmd=cluster_status, max_status_checks_per_second=max_status_checks_per_second, ) self._executor = constructor( workflow, dag, None, submitcmd=(cluster or cluster_sync), cluster_config=cluster_config, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, assume_shared_fs=assume_shared_fs, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) if workflow.immediate_submit: self.update_dynamic = False self.print_progress = False self.update_resources = False self.handle_job_success = False else: self._executor = DRMAAExecutor( workflow, dag, None, drmaa_args=drmaa, drmaa_log_dir=drmaa_log_dir, jobname=jobname, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cluster_config=cluster_config, assume_shared_fs=assume_shared_fs, max_status_checks_per_second=max_status_checks_per_second, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) elif kubernetes: self._local_executor = CPUExecutor( workflow, dag, local_cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cores=local_cores, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) self._executor = KubernetesExecutor( workflow, dag, kubernetes, container_image=container_image, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cluster_config=cluster_config, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) elif tibanna: self._local_executor = CPUExecutor( workflow, dag, local_cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, use_threads=use_threads, latency_wait=latency_wait, cores=local_cores, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) self._executor = TibannaExecutor( workflow, dag, cores, tibanna_sfn, precommand=precommand, tibanna_config=tibanna_config, container_image=container_image, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) elif google_lifesciences: self._local_executor = CPUExecutor( workflow, dag, local_cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cores=local_cores, ) self._executor = GoogleLifeSciencesExecutor( workflow, dag, cores, container_image=container_image, regions=google_lifesciences_regions, location=google_lifesciences_location, cache=google_lifesciences_cache, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, preemption_default=preemption_default, preemptible_rules=preemptible_rules, ) elif tes: self._local_executor = CPUExecutor( workflow, dag, local_cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, cores=local_cores, keepincomplete=keepincomplete, ) self._executor = TaskExecutionServiceExecutor( workflow, dag, cores=local_cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, latency_wait=latency_wait, tes_url=tes, container_image=container_image, ) else: self._executor = CPUExecutor( workflow, dag, cores, printreason=printreason, quiet=quiet, printshellcmds=printshellcmds, use_threads=use_threads, latency_wait=latency_wait, cores=cores, keepincomplete=keepincomplete, keepmetadata=keepmetadata, ) if self.max_jobs_per_second and not self.dryrun: max_jobs_frac = Fraction(self.max_jobs_per_second).limit_denominator() self.rate_limiter = RateLimiter( max_calls=max_jobs_frac.numerator, period=max_jobs_frac.denominator ) else: # essentially no rate limit self.rate_limiter = DummyRateLimiter() # Choose job selector (greedy or ILP) self.job_selector = self.job_selector_greedy if scheduler_type == "ilp": import pulp if pulp.apis.LpSolverDefault is None: logger.warning( "Falling back to greedy scheduler because no default " "solver is found for pulp (you have to install either " "coincbc or glpk)." ) else: self.job_selector = self.job_selector_ilp self._user_kill = None try: signal.signal(signal.SIGTERM, self.exit_gracefully) except ValueError: # If this fails, it is due to scheduler not being invoked in the main thread. # This can only happen with --gui, in which case it is fine for now. pass self._open_jobs.release() def executor_error_callback(self, exception): with self._lock: self._executor_error = exception # next scheduling round to catch and raise error self._open_jobs.release() @property def stats(self): try: return self._executor.stats except AttributeError: raise TypeError("Executor does not support stats") @property def open_jobs(self): """Return open jobs.""" jobs = self.dag.ready_jobs if not self.dryrun: jobs = [ job for job in jobs if not job.dynamic_input and not self.dag.dynamic(job) ] return jobs @property def remaining_jobs(self): """Return jobs to be scheduled including not yet ready ones.""" return [ job for job in self.dag.needrun_jobs if job not in self.running and not self.dag.finished(job) ] def schedule(self): """Schedule jobs that are ready, maximizing cpu usage.""" try: while True: # work around so that the wait does not prevent keyboard interrupts # while not self._open_jobs.acquire(False): # time.sleep(1) self._open_jobs.acquire() # obtain needrun and running jobs in a thread-safe way with self._lock: self._finish_jobs() self._error_jobs() needrun = set(self.open_jobs) running = list(self.running) errors = self._errors executor_error = self._executor_error user_kill = self._user_kill # handle errors if user_kill or (not self.keepgoing and errors) or executor_error: if user_kill == "graceful": logger.info( "Will exit after finishing " "currently running jobs." ) if executor_error: print_exception(executor_error, self.workflow.linemaps) if executor_error or not running: logger.info("Shutting down, this might take some time.") self._executor.shutdown() if not user_kill: logger.error(_ERROR_MSG_FINAL) return False continue # normal shutdown because all jobs have been finished if not needrun and (not running or self.workflow.immediate_submit): self._executor.shutdown() if errors: logger.error(_ERROR_MSG_FINAL) return not errors # continue if no new job needs to be executed if not needrun: continue # select jobs by solving knapsack problem (omit with dryrun) if self.dryrun: run = needrun else: logger.debug( "Resources before job selection: {}".format(self.resources) ) logger.debug( "Ready jobs ({}):\n\t".format(len(needrun)) + "\n\t".join(map(str, needrun)) ) if not self._last_job_selection_empty: logger.info("Select jobs to execute...") run = self.job_selector(needrun) self._last_job_selection_empty = not run logger.debug( "Selected jobs ({}):\n\t".format(len(run)) + "\n\t".join(map(str, run)) ) logger.debug( "Resources after job selection: {}".format(self.resources) ) # update running jobs with self._lock: self.running.update(run) # remove from ready_jobs self.dag.register_running(run) # reset params and resources because they might contain TBDs if not self.dryrun: for job in run: job.reset_params_and_resources() # actually run jobs local_runjobs = [job for job in run if job.is_local] runjobs = [job for job in run if not job.is_local] self.run(local_runjobs, executor=self._local_executor or self._executor) self.run(runjobs) except (KeyboardInterrupt, SystemExit): logger.info( "Terminating processes on user request, this might take some time." ) self._executor.cancel() return False def _finish_jobs(self): # must be called from within lock for job in self._tofinish: if self.handle_job_success: try: self.get_executor(job).handle_job_success(job) except (RuleException, WorkflowError) as e: # if an error occurs while processing job output, # we do the same as in case of errors during execution print_exception(e, self.workflow.linemaps) self._handle_error(job) return if self.update_resources: # normal jobs have len=1, group jobs have len>1 self.finished_jobs += len(job) self.running.remove(job) self._free_resources(job) if self.print_progress: if job.is_group(): for j in job: logger.job_finished(jobid=j.jobid) else: logger.job_finished(jobid=job.jobid) self.progress() self.dag.finish(job, update_dynamic=self.update_dynamic) self._tofinish.clear() def _error_jobs(self): # must be called from within lock for job in self._toerror: self._handle_error(job) self._toerror.clear() def run(self, jobs, executor=None): if executor is None: executor = self._executor executor.run_jobs( jobs, callback=self._finish_callback, submit_callback=self._submit_callback, error_callback=self._error, ) def get_executor(self, job): if job.is_local and self._local_executor is not None: return self._local_executor return self._executor def _noop(self, job): pass def _free_resources(self, job): for name, value in job.resources.items(): if name in self.resources: value = self.calc_resource(name, value) self.resources[name] += value def _proceed( self, job, ): """Do stuff after job is finished.""" with self._lock: self._tofinish.append(job) if self.dryrun: if len(self.running) - len(self._tofinish) - len(self._toerror) <= 0: # During dryrun, only release when all running jobs are done. # This saves a lot of time, as self.open_jobs has to be # evaluated less frequently. self._open_jobs.release() else: # go on scheduling if there is any free core self._open_jobs.release() def _error(self, job): with self._lock: self._toerror.append(job) self._open_jobs.release() def _handle_error(self, job): """Clear jobs and stop the workflow. If Snakemake is configured to restart jobs then the job might have "restart_times" left and we just decrement and let the scheduler try to run the job again. """ self.get_executor(job).handle_job_error(job) self.running.remove(job) self._free_resources(job) # attempt starts counting from 1, but the first attempt is not # a restart, hence we subtract 1. if job.restart_times > job.attempt - 1: logger.info("Trying to restart job {}.".format(self.dag.jobid(job))) job.attempt += 1 # add job to those being ready again self.dag._ready_jobs.add(job) else: self._errors = True self.failed.add(job) if self.keepgoing: logger.info("Job failed, going on with independent jobs.") def exit_gracefully(self, *args): with self._lock: self._user_kill = "graceful" self._open_jobs.release() def job_selector_ilp(self, jobs): """ Job scheduling by optimization of resource usage by solving ILP using pulp """ import pulp from pulp import lpSum from stopit import ThreadingTimeout as Timeout, TimeoutException if len(jobs) == 1: logger.debug( "Using greedy selector because only single job has to be scheduled." ) return self.job_selector_greedy(jobs) with self._lock: if not self.resources["_cores"]: return set() # assert self.resources["_cores"] > 0 scheduled_jobs = { job: pulp.LpVariable( "job_{}".format(idx), lowBound=0, upBound=1, cat=pulp.LpInteger, ) for idx, job in enumerate(jobs) } def size_gb(f): if self.touch: # In case of touch mode, there is no need to prioritize based on size. # We cannot access it anyway, because the files might be temporary and # not present. return 0 else: return f.size / 1e9 temp_files = { temp_file for job in jobs for temp_file in self.dag.temp_input(job) } temp_job_improvement = { temp_file: pulp.LpVariable( "temp_file_{}".format(idx), lowBound=0, upBound=1, cat="Continuous" ) for idx, temp_file in enumerate(temp_files) } temp_file_deletable = { temp_file: pulp.LpVariable( "deletable_{}".format(idx), lowBound=0, upBound=1, cat=pulp.LpInteger, ) for idx, temp_file in enumerate(temp_files) } prob = pulp.LpProblem("JobScheduler", pulp.LpMaximize) total_temp_size = max( sum([size_gb(temp_file) for temp_file in temp_files]), 1 ) total_core_requirement = sum( [max(job.resources.get("_cores", 1), 1) for job in jobs] ) # Objective function # Job priority > Core load # Core load > temp file removal # Instant removal > temp size prob += ( 2 * total_core_requirement * 2 * total_temp_size * lpSum([job.priority * scheduled_jobs[job] for job in jobs]) + 2 * total_temp_size * lpSum( [ max(job.resources.get("_cores", 1), 1) * scheduled_jobs[job] for job in jobs ] ) + total_temp_size * lpSum( [ temp_file_deletable[temp_file] * size_gb(temp_file) for temp_file in temp_files ] ) + lpSum( [ temp_job_improvement[temp_file] * size_gb(temp_file) for temp_file in temp_files ] ) ) # Constraints: for name in self.workflow.global_resources: prob += ( lpSum( [ scheduled_jobs[job] * job.resources.get(name, 0) for job in jobs ] ) <= self.resources[name] ) # Choose jobs that lead to "fastest" (minimum steps) removal of existing temp file remaining_jobs = self.remaining_jobs for temp_file in temp_files: prob += temp_job_improvement[temp_file] <= lpSum( [ scheduled_jobs[job] * self.required_by_job(temp_file, job) for job in jobs ] ) / lpSum( [self.required_by_job(temp_file, job) for job in remaining_jobs] ) prob += ( temp_file_deletable[temp_file] <= temp_job_improvement[temp_file] ) try: with Timeout(10, swallow_exc=False): self._solve_ilp(prob) except TimeoutException as e: logger.warning( "Failed to solve scheduling problem with ILP solver in time (10s). " "Falling back to greedy solver." ) return self.job_selector_greedy(jobs) except pulp.apis.core.PulpSolverError as e: logger.warning( "Failed to solve scheduling problem with ILP solver. Falling back to greedy solver. " "Run Snakemake with --verbose to see the full solver output for debugging the problem." ) return self.job_selector_greedy(jobs) selected_jobs = set( job for job, variable in scheduled_jobs.items() if variable.value() == 1.0 ) if not selected_jobs: # No selected jobs. This could be due to insufficient resources or a failure in the ILP solver # Hence, we silently fall back to the greedy solver to make sure that we don't miss anything. return self.job_selector_greedy(jobs) for name in self.workflow.global_resources: self.resources[name] -= sum( [job.resources.get(name, 0) for job in selected_jobs] ) return selected_jobs def _solve_ilp(self, prob): import pulp old_path = os.environ["PATH"] if self.workflow.scheduler_solver_path is None: # Temporarily prepend the given snakemake env to the path, such that the solver can be found in any case. # This is needed for cluster envs, where the cluster job might have a different environment but # still needs access to the solver binary. os.environ["PATH"] = "{}:{}".format( self.workflow.scheduler_solver_path, os.environ["PATH"] ) try: solver = ( pulp.get_solver(self.scheduler_ilp_solver) if self.scheduler_ilp_solver else pulp.apis.LpSolverDefault ) finally: os.environ["PATH"] = old_path solver.msg = self.workflow.verbose prob.solve(solver) def required_by_job(self, temp_file, job): return 1 if temp_file in self.dag.temp_input(job) else 0 def job_selector_greedy(self, jobs): """ Using the greedy heuristic from "A Greedy Algorithm for the General Multidimensional Knapsack Problem", Akcay, Li, Xu, Annals of Operations Research, 2012 Args: jobs (list): list of jobs """ with self._lock: if not self.resources["_cores"]: return set() # each job is an item with one copy (0-1 MDKP) n = len(jobs) x = [0] * n # selected jobs E = set(range(n)) # jobs still free to select u = [1] * n a = list(map(self.job_weight, jobs)) # resource usage of jobs c = list(map(self.job_reward, jobs)) # job rewards def calc_reward(): return [c_j * y_j for c_j, y_j in zip(c, y)] b = [ self.resources[name] for name in self.global_resources ] # resource capacities while True: # Step 2: compute effective capacities y = [ ( min( (min(u[j], b_i // a_j_i) if a_j_i > 0 else u[j]) for b_i, a_j_i in zip(b, a[j]) if a_j_i ) if j in E else 0 ) for j in range(n) ] if not any(y): break y = [ (max(1, int(self.greediness * y_j)) if y_j > 0 else 0) for y_j in y ] # Step 3: compute rewards on cumulative sums reward = calc_reward() j_sel = max(E, key=reward.__getitem__) # argmax # Step 4: batch increment y_sel = y[j_sel] # Step 5: update information x[j_sel] += y_sel b = [b_i - (a_j_i * y_sel) for b_i, a_j_i in zip(b, a[j_sel])] u[j_sel] -= y_sel if not u[j_sel] or self.greediness == 1: E.remove(j_sel) if not E: break solution = set(job for job, sel in zip(jobs, x) if sel) # update resources for name, b_i in zip(self.global_resources, b): self.resources[name] = b_i return solution def calc_resource(self, name, value): gres = self.global_resources[name] if value > gres: if name == "_cores": name = "threads" raise WorkflowError( "Job needs {name}={res} but only {name}={gres} " "are available. This is likely because two " "jobs are connected via a pipe and have to run " "simultaneously. Consider providing more " "resources (e.g. via --cores).".format(name=name, res=value, gres=gres) ) return value def rule_weight(self, rule): res = rule.resources return [ self.calc_resource(name, res.get(name, 0)) for name in self.global_resources ] def job_weight(self, job): res = job.resources return [ self.calc_resource(name, res.get(name, 0)) for name in self.global_resources ] def job_reward(self, job): if self.touch or self.dryrun or self.workflow.immediate_submit: temp_size = 0 input_size = 0 else: try: temp_size = self.dag.temp_size(job) input_size = job.inputsize except FileNotFoundError: # If the file is not yet present, this shall not affect the # job selection. temp_size = 0 input_size = 0 # Usually, this should guide the scheduler to first schedule all jobs # that remove the largest temp file, then the second largest and so on. # Since the weight is summed up, it can in theory be that it sometimes # prefers a set of many jobs that all depend on smaller temp files though. # A real solution to the problem is therefore to use dummy jobs that # ensure selection of groups of jobs that together delete the same temp # file. return (job.priority, temp_size, input_size) def progress(self): """Display the progress.""" logger.progress(done=self.finished_jobs, total=len(self.dag)) snakemake-6.15.1/snakemake/script.py000066400000000000000000001256151417574166400174110ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import inspect import itertools import os from snakemake import sourcecache from snakemake.sourcecache import ( LocalSourceFile, SourceCache, SourceFile, infer_source_file, ) import tempfile import textwrap import sys import pickle import subprocess import collections import re from abc import ABC, abstractmethod from pathlib import Path from typing import Tuple, Pattern, Union, Optional from urllib.request import urlopen, pathname2url from urllib.error import URLError from snakemake.utils import format from snakemake.logging import logger from snakemake.exceptions import WorkflowError from snakemake.shell import shell from snakemake.common import ( MIN_PY_VERSION, SNAKEMAKE_SEARCHPATH, ON_WINDOWS, smart_join, is_local_file, ) from snakemake.io import git_content, split_git_path from snakemake.deployment import singularity # TODO use this to find the right place for inserting the preamble PY_PREAMBLE_RE = re.compile(r"from( )+__future__( )+import.*?(?P[;\n])") PathLike = Union[str, Path, os.PathLike] class Snakemake: def __init__( self, input_, output, params, wildcards, threads, resources, log, config, rulename, bench_iteration, scriptdir=None, ): # convert input and output to plain strings as some remote objects cannot # be pickled self.input = input_._plainstrings() self.output = output._plainstrings() self.params = params self.wildcards = wildcards self.threads = threads self.resources = resources self.log = log._plainstrings() self.config = config self.rule = rulename self.bench_iteration = bench_iteration self.scriptdir = scriptdir def log_fmt_shell(self, stdout=True, stderr=True, append=False): """ Return a shell redirection string to be used in `shell()` calls This function allows scripts and wrappers to support optional `log` files specified in the calling rule. If no `log` was specified, then an empty string "" is returned, regardless of the values of `stdout`, `stderr`, and `append`. Parameters --------- stdout : bool Send stdout to log stderr : bool Send stderr to log append : bool Do not overwrite the log file. Useful for sending an output of multiple commands to the same log. Note however that the log will not be truncated at the start. The following table describes the output: -------- -------- -------- ----- ------------- stdout stderr append log return value -------- -------- -------- ----- ------------ True True True fn >> fn 2>&1 True False True fn >> fn False True True fn 2>> fn True True False fn > fn 2>&1 True False False fn > fn False True False fn 2> fn any any any None "" -------- -------- -------- ----- ----------- """ return _log_shell_redirect(self.log, stdout, stderr, append) def _log_shell_redirect( log: Optional[PathLike], stdout: bool = True, stderr: bool = True, append: bool = False, ) -> str: """ Return a shell redirection string to be used in `shell()` calls This function allows scripts and wrappers support optional `log` files specified in the calling rule. If no `log` was specified, then an empty string "" is returned, regardless of the values of `stdout`, `stderr`, and `append`. Parameters --------- stdout : bool Send stdout to log stderr : bool Send stderr to log append : bool Do not overwrite the log file. Useful for sending output of multiple commands to the same log. Note however that the log will not be truncated at the start. The following table describes the output: -------- -------- -------- ----- ------------- stdout stderr append log return value -------- -------- -------- ----- ------------ True True True fn >> fn 2>&1 True False True fn >> fn False True True fn 2>> fn True True False fn > fn 2>&1 True False False fn > fn False True False fn 2> fn any any any None "" -------- -------- -------- ----- ----------- """ if not log: return "" lookup = { (True, True, True): " >> {0} 2>&1", (True, False, True): " >> {0}", (False, True, True): " 2>> {0}", (True, True, False): " > {0} 2>&1", (True, False, False): " > {0}", (False, True, False): " 2> {0}", } return lookup[(stdout, stderr, append)].format(str(log)) class REncoder: """Encoding Python data structures into R.""" @classmethod def encode_numeric(cls, value): if value is None: return "as.numeric(NA)" return str(value) @classmethod def encode_value(cls, value): if value is None: return "NULL" elif isinstance(value, str): return repr(value) elif isinstance(value, Path): return repr(str(value)) elif isinstance(value, dict): return cls.encode_dict(value) elif isinstance(value, bool): return "TRUE" if value else "FALSE" elif isinstance(value, int) or isinstance(value, float): return str(value) elif isinstance(value, collections.abc.Iterable): # convert all iterables to vectors return cls.encode_list(value) else: # Try to convert from numpy if numpy is present try: import numpy as np if isinstance(value, np.number): return str(value) except ImportError: pass raise ValueError("Unsupported value for conversion into R: {}".format(value)) @classmethod def encode_list(cls, l): return "c({})".format(", ".join(map(cls.encode_value, l))) @classmethod def encode_items(cls, items): def encode_item(item): name, value = item return '"{}" = {}'.format(name, cls.encode_value(value)) return ", ".join(map(encode_item, items)) @classmethod def encode_dict(cls, d): d = "list({})".format(cls.encode_items(d.items())) return d @classmethod def encode_namedlist(cls, namedlist): positional = ", ".join(map(cls.encode_value, namedlist)) named = cls.encode_items(namedlist.items()) source = "list(" if positional: source += positional if named: source += ", " + named source += ")" return source class JuliaEncoder: """Encoding Python data structures into Julia.""" @classmethod def encode_value(cls, value): if value is None: return "nothing" elif isinstance(value, str): return repr(value) elif isinstance(value, Path): return repr(str(value)) elif isinstance(value, dict): return cls.encode_dict(value) elif isinstance(value, bool): return "true" if value else "false" elif isinstance(value, int) or isinstance(value, float): return str(value) elif isinstance(value, collections.abc.Iterable): # convert all iterables to vectors return cls.encode_list(value) else: # Try to convert from numpy if numpy is present try: import numpy as np if isinstance(value, np.number): return str(value) except ImportError: pass raise ValueError( "Unsupported value for conversion into Julia: {}".format(value) ) @classmethod def encode_list(cls, l): return "[{}]".format(", ".join(map(cls.encode_value, l))) @classmethod def encode_items(cls, items): def encode_item(item): name, value = item return '"{}" => {}'.format(name, cls.encode_value(value)) return ", ".join(map(encode_item, items)) @classmethod def encode_positional_items(cls, namedlist): encoded = "" for index, value in enumerate(namedlist): encoded += "{} => {}, ".format(index + 1, cls.encode_value(value)) return encoded @classmethod def encode_dict(cls, d): d = "Dict({})".format(cls.encode_items(d.items())) return d @classmethod def encode_namedlist(cls, namedlist): positional = cls.encode_positional_items(namedlist) named = cls.encode_items(namedlist.items()) source = "Dict(" if positional: source += positional if named: source += named source += ")" return source class ScriptBase(ABC): editable = False def __init__( self, path, source, basedir, input_, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, is_local, ): self.path = path self.source = source self.basedir = basedir self.input = input_ self.output = output self.params = params self.wildcards = wildcards self.threads = threads self.resources = resources self.log = log self.config = config self.rulename = rulename self.conda_env = conda_env self.conda_base_path = conda_base_path self.container_img = container_img self.singularity_args = singularity_args self.env_modules = env_modules self.bench_record = bench_record self.jobid = jobid self.bench_iteration = bench_iteration self.cleanup_scripts = cleanup_scripts self.shadow_dir = shadow_dir self.is_local = is_local def evaluate(self, edit=False): assert not edit or self.editable fd = None try: # generate preamble preamble = self.get_preamble() # write script dir_ = ".snakemake/scripts" os.makedirs(dir_, exist_ok=True) with tempfile.NamedTemporaryFile( suffix="." + self.path.get_filename(), dir=dir_, delete=False ) as fd: self.write_script(preamble, fd) # execute script self.execute_script(fd.name, edit=edit) except URLError as e: raise WorkflowError(e) finally: if fd and self.cleanup_scripts: os.remove(fd.name) else: if fd: logger.warning("Not cleaning up %s" % fd.name) else: # nothing to clean up (TODO: ??) pass @property def local_path(self): assert self.is_local return self.path.get_path_or_uri() @abstractmethod def get_preamble(self): ... @abstractmethod def write_script(self, preamble, fd): ... @abstractmethod def execute_script(self, fname, edit=False): ... def _execute_cmd(self, cmd, **kwargs): return shell( cmd, bench_record=self.bench_record, conda_env=self.conda_env, conda_base_path=self.conda_base_path, container_img=self.container_img, shadow_dir=self.shadow_dir, env_modules=self.env_modules, singularity_args=self.singularity_args, resources=self.resources, threads=self.threads, **kwargs ) class PythonScript(ScriptBase): @staticmethod def generate_preamble( path, source, basedir, input_, output, params, wildcards, threads, resources, log, config, rulename, conda_env, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, is_local, preamble_addendum="", ): snakemake = Snakemake( input_, output, params, wildcards, threads, resources, log, config, rulename, bench_iteration, path.get_basedir().get_path_or_uri(), ) snakemake = pickle.dumps(snakemake) # Obtain search path for current snakemake module. # The module is needed for unpickling in the script. # We append it at the end (as a fallback). searchpath = SNAKEMAKE_SEARCHPATH if container_img is not None: searchpath = singularity.SNAKEMAKE_MOUNTPOINT searchpath = repr(searchpath) # For local scripts, add their location to the path in case they use path-based imports if is_local: searchpath += ", " + repr(path.get_basedir().get_path_or_uri()) return textwrap.dedent( """ ######## snakemake preamble start (automatically inserted, do not edit) ######## import sys; sys.path.extend([{searchpath}]); import pickle; snakemake = pickle.loads({snakemake}); from snakemake.logging import logger; logger.printshellcmds = {printshellcmds}; {preamble_addendum} ######## snakemake preamble end ######### """ ).format( searchpath=searchpath, snakemake=snakemake, printshellcmds=logger.printshellcmds, preamble_addendum=preamble_addendum, ) def get_preamble(self): if isinstance(self.path, LocalSourceFile): file_override = os.path.realpath(self.path.get_path_or_uri()) else: file_override = self.path.get_path_or_uri() preamble_addendum = ( "__real_file__ = __file__; __file__ = {file_override};".format( file_override=repr(file_override) ) ) return PythonScript.generate_preamble( self.path, self.source, self.basedir, self.input, self.output, self.params, self.wildcards, self.threads, self.resources, self.log, self.config, self.rulename, self.conda_env, self.container_img, self.singularity_args, self.env_modules, self.bench_record, self.jobid, self.bench_iteration, self.cleanup_scripts, self.shadow_dir, self.is_local, preamble_addendum=preamble_addendum, ) def write_script(self, preamble, fd): fd.write(preamble.encode()) fd.write(self.source.encode()) def _is_python_env(self): if self.conda_env is not None: prefix = os.path.join(self.conda_env, "bin") elif self.env_modules is not None: prefix = self._execute_cmd("echo $PATH", read=True).split(":")[0] else: raise NotImplementedError() return os.path.exists(os.path.join(prefix, "python")) def _get_python_version(self): out = self._execute_cmd( "python -c \"import sys; print('.'.join(map(str, sys.version_info[:2])))\"", read=True, ) return tuple(map(int, out.strip().split("."))) def execute_script(self, fname, edit=False): py_exec = sys.executable if self.container_img is not None: # use python from image py_exec = "python" elif self.conda_env is not None or self.env_modules is not None: if self._is_python_env(): py_version = self._get_python_version() # If version is None, all fine, because host python usage is intended. if py_version is not None: if py_version >= MIN_PY_VERSION: # Python version is new enough, make use of environment # to execute script py_exec = "python" else: logger.warning( "Environment defines Python " "version < {0}.{1}. Using Python of the " "main process to execute " "script. Note that this cannot be avoided, " "because the script uses data structures from " "Snakemake which are Python >={0}.{1} " "only.".format(*MIN_PY_VERSION) ) if ON_WINDOWS: # use forward slashes so script command still works even if # bash is configured as executable on Windows py_exec = py_exec.replace("\\", "/") # use the same Python as the running process or the one from the environment self._execute_cmd( "{py_exec} {fname:q}", py_exec=py_exec, fname=fname, is_python_script=True ) class RScript(ScriptBase): @staticmethod def generate_preamble( path, source, basedir, input_, output, params, wildcards, threads, resources, log, config, rulename, conda_env, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, preamble_addendum="", ): return textwrap.dedent( """ ######## snakemake preamble start (automatically inserted, do not edit) ######## library(methods) Snakemake <- setClass( "Snakemake", slots = c( input = "list", output = "list", params = "list", wildcards = "list", threads = "numeric", log = "list", resources = "list", config = "list", rule = "character", bench_iteration = "numeric", scriptdir = "character", source = "function" ) ) snakemake <- Snakemake( input = {}, output = {}, params = {}, wildcards = {}, threads = {}, log = {}, resources = {}, config = {}, rule = {}, bench_iteration = {}, scriptdir = {}, source = function(...){{ wd <- getwd() setwd(snakemake@scriptdir) source(...) setwd(wd) }} ) {preamble_addendum} ######## snakemake preamble end ######### """ ).format( REncoder.encode_namedlist(input_), REncoder.encode_namedlist(output), REncoder.encode_namedlist(params), REncoder.encode_namedlist(wildcards), threads, REncoder.encode_namedlist(log), REncoder.encode_namedlist( { name: value for name, value in resources.items() if name != "_cores" and name != "_nodes" } ), REncoder.encode_dict(config), REncoder.encode_value(rulename), REncoder.encode_numeric(bench_iteration), REncoder.encode_value(path.get_basedir().get_path_or_uri()), preamble_addendum=preamble_addendum, ) def get_preamble(self): return RScript.generate_preamble( self.path, self.source, self.basedir, self.input, self.output, self.params, self.wildcards, self.threads, self.resources, self.log, self.config, self.rulename, self.conda_env, self.container_img, self.singularity_args, self.env_modules, self.bench_record, self.jobid, self.bench_iteration, self.cleanup_scripts, self.shadow_dir, ) def write_script(self, preamble, fd): fd.write(preamble.encode()) fd.write(self.source.encode()) def execute_script(self, fname, edit=False): if self.conda_env is not None and "R_LIBS" in os.environ: logger.warning( "R script job uses conda environment but " "R_LIBS environment variable is set. This " "is likely not intended, as R_LIBS can " "interfere with R packages deployed via " "conda. Consider running `unset R_LIBS` or " "remove it entirely before executing " "Snakemake." ) self._execute_cmd("Rscript --vanilla {fname:q}", fname=fname) class RMarkdown(ScriptBase): def get_preamble(self): return textwrap.dedent( """ ######## snakemake preamble start (automatically inserted, do not edit) ######## library(methods) Snakemake <- setClass( "Snakemake", slots = c( input = "list", output = "list", params = "list", wildcards = "list", threads = "numeric", log = "list", resources = "list", config = "list", rule = "character", bench_iteration = "numeric", scriptdir = "character", source = "function" ) ) snakemake <- Snakemake( input = {}, output = {}, params = {}, wildcards = {}, threads = {}, log = {}, resources = {}, config = {}, rule = {}, bench_iteration = {}, scriptdir = {}, source = function(...){{ wd <- getwd() setwd(snakemake@scriptdir) source(...) setwd(wd) }} ) ######## snakemake preamble end ######### """ ).format( REncoder.encode_namedlist(self.input), REncoder.encode_namedlist(self.output), REncoder.encode_namedlist(self.params), REncoder.encode_namedlist(self.wildcards), self.threads, REncoder.encode_namedlist(self.log), REncoder.encode_namedlist( { name: value for name, value in self.resources.items() if name != "_cores" and name != "_nodes" } ), REncoder.encode_dict(self.config), REncoder.encode_value(self.rulename), REncoder.encode_numeric(self.bench_iteration), REncoder.encode_value(self.path.get_basedir().get_path_or_uri()), ) def write_script(self, preamble, fd): # Insert Snakemake object after the RMarkdown header code = self.source pos = next(itertools.islice(re.finditer(r"---\n", code), 1, 2)).start() + 3 fd.write(str.encode(code[:pos])) preamble = textwrap.dedent( """ ```{r, echo=FALSE, message=FALSE, warning=FALSE} %s ``` """ % preamble ) fd.write(preamble.encode()) fd.write(code[pos:].encode()) def execute_script(self, fname, edit=False): if len(self.output) != 1: raise WorkflowError( "RMarkdown scripts (.Rmd) may only have a single output file." ) out = os.path.abspath(self.output[0]) self._execute_cmd( 'Rscript --vanilla -e \'rmarkdown::render("{fname}", output_file="{out}", quiet=TRUE, knit_root_dir = "{workdir}", params = list(rmd="{fname}"))\'', fname=fname, out=out, workdir=os.getcwd(), ) class JuliaScript(ScriptBase): def get_preamble(self): return textwrap.dedent( """ ######## snakemake preamble start (automatically inserted, do not edit) ######## struct Snakemake input::Dict output::Dict params::Dict wildcards::Dict threads::Int64 log::Dict resources::Dict config::Dict rule::String bench_iteration scriptdir::String #source::Any end snakemake = Snakemake( {}, #input::Dict {}, #output::Dict {}, #params::Dict {}, #wildcards::Dict {}, #threads::Int64 {}, #log::Dict {}, #resources::Dict {}, #config::Dict {}, #rule::String {}, #bench_iteration::Int64 {}, #scriptdir::String #, #source::Any ) ######## snakemake preamble end ######### """.format( JuliaEncoder.encode_namedlist(self.input), JuliaEncoder.encode_namedlist(self.output), JuliaEncoder.encode_namedlist(self.params), JuliaEncoder.encode_namedlist(self.wildcards), JuliaEncoder.encode_value(self.threads), JuliaEncoder.encode_namedlist(self.log), JuliaEncoder.encode_namedlist( { name: value for name, value in self.resources.items() if name != "_cores" and name != "_nodes" } ), JuliaEncoder.encode_dict(self.config), JuliaEncoder.encode_value(self.rulename), JuliaEncoder.encode_value(self.bench_iteration), JuliaEncoder.encode_value(self.path.get_basedir().get_path_or_uri()), ).replace( "'", '"' ) ) def write_script(self, preamble, fd): fd.write(preamble.encode()) fd.write(self.source.encode()) def execute_script(self, fname, edit=False): self._execute_cmd("julia {fname:q}", fname=fname) class RustScript(ScriptBase): @staticmethod def generate_preamble( path, source, basedir, input_, output, params, wildcards, threads, resources, log, config, rulename, conda_env, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, is_local, preamble_addendum="", ): # snakemake's namedlists will be encoded as a dict # which stores the not-named items at the key "positional" # and unpacks named items into the dict def encode_namedlist(values): values = list(values) if len(values) == 0: return dict(positional=[]) positional = [val for key, val in values if not key] return dict( positional=positional, **{key: val for key, val in values if key} ) snakemake = dict( input=encode_namedlist(input_._plainstrings()._allitems()), output=encode_namedlist(output._plainstrings()._allitems()), params=encode_namedlist(params.items()), wildcards=encode_namedlist(wildcards.items()), threads=threads, resources=encode_namedlist( { name: value for (name, value) in resources.items() if name != "_cores" and name != "_nodes" }.items() ), log=encode_namedlist(log._plainstrings()._allitems()), config=encode_namedlist(config.items()), rulename=rulename, bench_iteration=bench_iteration, scriptdir=path.get_basedir().get_path_or_uri(), ) import json json_string = json.dumps(dict(snakemake)) # Obtain search path for current snakemake module. # We append it at the end (as a fallback). searchpath = SNAKEMAKE_SEARCHPATH if container_img is not None: searchpath = singularity.SNAKEMAKE_MOUNTPOINT searchpath = repr(searchpath) # For local scripts, add their location to the path in case they use path-based imports if is_local: searchpath += ", " + repr(path.get_basedir().get_path_or_uri()) return textwrap.dedent( """ json_typegen::json_typegen!("Snakemake", r###"{json_string}"###, {{ "/bench_iteration": {{ "use_type": "Option" }}, "/input/positional": {{ "use_type": "Vec" }}, "/output/positional": {{ "use_type": "Vec" }}, "/log/positional": {{ "use_type": "Vec" }}, "/wildcards/positional": {{ "use_type": "Vec" }}, }}); pub struct Iter<'a, T>(std::slice::Iter<'a, T>); impl<'a, T> Iterator for Iter<'a, T> {{ type Item = &'a T; fn next(&mut self) -> Option {{ self.0.next() }} }} macro_rules! impl_iter {{ ($($s:ty),+) => {{ $( impl IntoIterator for $s {{ type Item = String; type IntoIter = std::vec::IntoIter; fn into_iter(self) -> Self::IntoIter {{ self.positional.into_iter() }} }} impl<'a> IntoIterator for &'a $s {{ type Item = &'a String; type IntoIter = Iter<'a, String>; fn into_iter(self) -> Self::IntoIter {{ Iter(self.positional.as_slice().into_iter()) }} }} )+ }}; }} macro_rules! impl_index {{ ($($s:ty),+) => {{ $( impl std::ops::Index for $s {{ type Output = String; fn index(&self, index: usize) -> &Self::Output {{ &self.positional[index] }} }} )+ }} }} impl_iter!(Input, Output, Wildcards, Log); impl_index!(Input, Output, Wildcards, Log); impl Snakemake {{ #[allow(dead_code)] fn redirect_stderr>( &self, path: P, ) -> anyhow::Result> {{ let log = std::fs::OpenOptions::new() .truncate(true) .read(true) .create(true) .write(true) .open(path)?; Ok(gag::Redirect::stderr(log)?) }} #[allow(dead_code)] fn redirect_stdout>( &self, path: P, ) -> anyhow::Result> {{ let log = std::fs::OpenOptions::new() .truncate(true) .read(true) .create(true) .write(true) .open(path)?; Ok(gag::Redirect::stdout(log)?) }} fn setup_path(&self) -> anyhow::Result<()> {{ use std::env; if let Some(path) = env::var_os("PATH") {{ let mut paths = env::split_paths(&path).collect::>(); paths.push(std::path::PathBuf::from("{searchpath}")); let new_path = env::join_paths(paths)?; env::set_var("PATH", &new_path); }} Ok(()) }} }} lazy_static::lazy_static! {{ // https://github.com/rust-lang-nursery/lazy-static.rs/issues/153 #[allow(non_upper_case_globals)] static ref snakemake: Snakemake = {{ let s: Snakemake = serde_json::from_str(r###"{json_string}"###).expect("Failed parsing snakemake JSON"); s.setup_path().expect("Failed setting PATH"); s }}; }} // TODO include addendum, if any {{preamble_addendum}} """ ).format( searchpath=searchpath, json_string=json_string, preamble_addendum=preamble_addendum, ) def get_preamble(self): preamble_addendum = "" preamble = RustScript.generate_preamble( self.path, self.source, self.basedir, self.input, self.output, self.params, self.wildcards, self.threads, self.resources, self.log, self.config, self.rulename, self.conda_env, self.container_img, self.singularity_args, self.env_modules, self.bench_record, self.jobid, self.bench_iteration, self.cleanup_scripts, self.shadow_dir, self.is_local, preamble_addendum=preamble_addendum, ) return preamble def write_script(self, preamble, fd): content = self.combine_preamble_and_source(preamble) fd.write(content.encode()) def execute_script(self, fname, edit=False): deps = self.default_dependencies() ftrs = self.default_features() self._execute_cmd( "rust-script -d {deps} --features {ftrs} {fname:q} ", fname=fname, deps=deps, ftrs=ftrs, ) def combine_preamble_and_source(self, preamble: str) -> str: """The manifest info needs to be moved to before the preamble. Also, because rust-scipt relies on inner docs, there can't be an empty line between the manifest and preamble. """ manifest, src = RustScript.extract_manifest(self.source) return manifest + preamble.lstrip("\r\n") + src @staticmethod def default_dependencies() -> str: return " -d ".join( [ "anyhow=1", "serde_json=1", "serde=1", "serde_derive=1", "lazy_static=1.4", "json_typegen=0.6", "gag=1", ] ) @staticmethod def default_features() -> str: return ",".join(["serde/derive"]) @staticmethod def extract_manifest(source: str) -> Tuple[str, str]: # we have no need for the shebang for now given the way we run the script _, src = RustScript._strip_shebang(source) manifest, src = RustScript._strip_manifest(src) return manifest, src @staticmethod def _strip_shebang(src: str) -> Tuple[str, str]: """From https://github.com/fornwall/rust-script/blob/ce508bad02a11d574657d2f1debf7e73fca2bf6e/src/manifest.rs#L312-L320""" rgx = re.compile(r"^#![^\[].*?(\r\n|\n)") return strip_re(rgx, src) @staticmethod def _strip_manifest(src: str) -> Tuple[str, str]: """From https://github.com/fornwall/rust-script/blob/ce508bad02a11d574657d2f1debf7e73fca2bf6e/src/manifest.rs#L405-L411""" manifest, remainder = RustScript._strip_single_line_manifest(src) if not manifest: manifest, remainder = RustScript._strip_code_block_manifest(src) return manifest, remainder @staticmethod def _strip_single_line_manifest(src: str) -> Tuple[str, str]: """From https://github.com/fornwall/rust-script/blob/ce508bad02a11d574657d2f1debf7e73fca2bf6e/src/manifest.rs#L618-L632""" rgx = re.compile(r"^\s*//\s*cargo-deps\s*:(.*?)(\r\n|\n)", flags=re.IGNORECASE) return strip_re(rgx, src) @staticmethod def _strip_code_block_manifest(src: str) -> Tuple[str, str]: """From https://github.com/fornwall/rust-script/blob/ce508bad02a11d574657d2f1debf7e73fca2bf6e/src/manifest.rs#L634-L664 We need to find the first `/*!` or `//!` that *isn't* preceeded by something that would make it apply to anything other than the crate itself. Because we can't do this accurately, we'll just require that the doc comment is the *first* thing in the file (after the optional shebang, which should already have been stripped). """ crate_comment_re = re.compile( r"^\s*(/\*!|//([!/]))(.*?)(\r\n|\n)", flags=re.MULTILINE ) # does src start with a crate comment? match = crate_comment_re.match(src) if not match: return "", src end_of_comment = match.end() # find end of crate comment while match is not None: end_of_comment = match.end() match = crate_comment_re.match(src, pos=end_of_comment) crate_comment = src[:end_of_comment] found_code_block_open = False code_block_open_re = re.compile(r"```\s*cargo") found_code_block_close = False code_block_close_re = re.compile(r"```") for line in crate_comment.splitlines(): if not found_code_block_open: m = code_block_open_re.search(line) if m: found_code_block_open = True else: m = code_block_close_re.search(line) if m: found_code_block_close = True break crate_comment_has_manifest = found_code_block_open and found_code_block_close if crate_comment_has_manifest: return crate_comment, src[end_of_comment:] else: return "", src def strip_re(regex: Pattern, s: str) -> Tuple[str, str]: """Strip a substring matching a regex from a string and return the stripped part and the remainder of the original string. Returns an empty string and the original string if the regex is not found """ rgx = re.compile(regex) match = rgx.search(s) if match: head, tail = s[: match.end()], s[match.end() :] else: head, tail = "", s return head, tail def get_source( path, sourcecache: sourcecache.SourceCache, basedir=None, wildcards=None, params=None, ): if wildcards is not None and params is not None: if isinstance(path, SourceFile): path = path.get_path_or_uri() # Format path if wildcards are given. path = infer_source_file(format(path, wildcards=wildcards, params=params)) if basedir is not None: basedir = infer_source_file(basedir) source_file = infer_source_file(path, basedir) with sourcecache.open(source_file) as f: source = f.read() language = get_language(source_file, source) is_local = isinstance(source_file, LocalSourceFile) return source_file, source, language, is_local def get_language(source_file, source): import nbformat filename = source_file.get_filename() language = None if filename.endswith(".py"): language = "python" elif filename.endswith(".ipynb"): language = "jupyter" elif filename.endswith(".R"): language = "r" elif filename.endswith(".Rmd"): language = "rmarkdown" elif filename.endswith(".jl"): language = "julia" elif filename.endswith(".rs"): language = "rust" # detect kernel language for Jupyter Notebooks if language == "jupyter": nb = nbformat.reads(source, as_version=nbformat.NO_CONVERT) try: kernel_language = nb["metadata"]["language_info"]["name"] except KeyError as e: raise WorkflowError( "Notebook metadata is corrupt. Please delete notebook " "and recreate it via --edit-notebook." ) language += "_" + kernel_language.lower() return language def script( path, basedir, input, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, runtime_sourcecache_path, ): """ Load a script from the given basedir + path and execute it. """ path, source, language, is_local = get_source( path, SourceCache(runtime_sourcecache_path), basedir, wildcards, params ) exec_class = { "python": PythonScript, "r": RScript, "rmarkdown": RMarkdown, "julia": JuliaScript, "rust": RustScript, }.get(language, None) if exec_class is None: raise ValueError( "Unsupported script: Expecting either Python (.py), R (.R), RMarkdown (.Rmd) or Julia (.jl) script." ) executor = exec_class( path, source, basedir, input, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, is_local, ) executor.evaluate() snakemake-6.15.1/snakemake/shell.py000066400000000000000000000262771417574166400172200ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import _io import sys import os import subprocess as sp import inspect import shutil import stat import tempfile import threading from snakemake.utils import format, argvquote, cmd_exe_quote, find_bash_on_windows from snakemake.common import ON_WINDOWS, RULEFUNC_CONTEXT_MARKER from snakemake.logging import logger from snakemake.deployment import singularity from snakemake.deployment.conda import Conda from snakemake.exceptions import WorkflowError __author__ = "Johannes Köster" STDOUT = sys.stdout if not isinstance(sys.stdout, _io.TextIOWrapper): # workaround for nosetest since it overwrites sys.stdout # in a strange way that does not work with Popen STDOUT = None # There is a max length for a command executed as well as a maximum # length for each argument passed to a command. The latter impacts us # especially when doing `sh -c 'long script from user'`. On Linux, it's # hardcoded in the kernel as 32 pages, or 128kB. On OSX it appears to be # close to `getconf ARG_MAX`, about 253kb. MAX_ARG_LEN = 16 * 4096 - 1 class shell: _process_args = {} _process_prefix = "" _process_suffix = "" _lock = threading.Lock() _processes = {} _win_command_prefix = "" conda_block_conflicting_envvars = True @classmethod def get_executable(cls): return cls._process_args.get("executable", None) @classmethod def check_output(cls, cmd, **kwargs): executable = cls.get_executable() if ON_WINDOWS and executable: cmd = '"{}" {} {}'.format( executable, cls._win_command_prefix, argvquote(cmd) ) return sp.check_output(cmd, shell=False, executable=executable, **kwargs) else: return sp.check_output(cmd, shell=True, executable=executable, **kwargs) @classmethod def executable(cls, cmd): if cmd and not os.path.isabs(cmd): # always enforce absolute path cmd = shutil.which(cmd) if not cmd: raise WorkflowError( "Cannot set default shell {} because it " "is not available in your " "PATH.".format(cmd) ) if ON_WINDOWS: if cmd is None: cls._process_prefix = "" cls._win_command_prefix = "" elif os.path.split(cmd)[-1].lower() in ("bash", "bash.exe"): if cmd == r"C:\Windows\System32\bash.exe": raise WorkflowError( "Cannot use WSL bash.exe on Windows. Ensure that you have " "a usable bash.exe availble on your path." ) cls._process_prefix = "set -euo pipefail; " cls._win_command_prefix = "-c" elif os.path.split(cmd)[-1].lower() == "bash": cls._process_prefix = "set -euo pipefail; " cls._process_args["executable"] = cmd @classmethod def prefix(cls, prefix): cls._process_prefix = format(prefix, stepout=2) @classmethod def suffix(cls, suffix): cls._process_suffix = format(suffix, stepout=2) @classmethod def win_command_prefix(cls, cmd): """The command prefix used on windows when specifing a explicit shell executable. This would be "-c" for bash. Note: that if no explicit executable is set commands are executed with Popen(..., shell=True) which uses COMSPEC on windows where this is not needed. """ cls._win_command_prefix = cmd @classmethod def kill(cls, jobid): with cls._lock: if jobid in cls._processes: cls._processes[jobid].kill() del cls._processes[jobid] @classmethod def cleanup(cls): with cls._lock: cls._processes.clear() def __new__( cls, cmd, *args, iterable=False, read=False, bench_record=None, **kwargs ): if "stepout" in kwargs: raise KeyError("Argument stepout is not allowed in shell command.") if ON_WINDOWS and not cls.get_executable(): # If bash is not used on Windows quoting must be handled in a special way kwargs["quote_func"] = cmd_exe_quote cmd = format(cmd, *args, stepout=2, **kwargs) stdout = sp.PIPE if iterable or read else STDOUT close_fds = sys.platform != "win32" func_context = inspect.currentframe().f_back.f_locals if func_context.get(RULEFUNC_CONTEXT_MARKER): # If this comes from a rule, we expect certain information to be passed # implicitly via the rule func context, which is added here. context = func_context else: # Otherwise, context is just filled via kwargs. context = dict() # add kwargs to context (overwriting the locals of the caller) context.update(kwargs) jobid = context.get("jobid") if not context.get("is_shell"): logger.shellcmd(cmd) conda_env = context.get("conda_env", None) conda_base_path = context.get("conda_base_path", None) container_img = context.get("container_img", None) env_modules = context.get("env_modules", None) shadow_dir = context.get("shadow_dir", None) resources = context.get("resources", {}) singularity_args = context.get("singularity_args", "") threads = context.get("threads", 1) cmd = " ".join((cls._process_prefix, cmd, cls._process_suffix)).strip() if env_modules: cmd = env_modules.shellcmd(cmd) logger.info("Activating environment modules: {}".format(env_modules)) if conda_env: if ON_WINDOWS and not cls.get_executable(): # If we use cmd.exe directly on winodws we need to prepend batch activation script. cmd = Conda(container_img, prefix_path=conda_base_path).shellcmd_win( conda_env, cmd ) else: cmd = Conda(container_img, prefix_path=conda_base_path).shellcmd( conda_env, cmd ) tmpdir = None if len(cmd.replace("'", r"'\''")) + 2 > MAX_ARG_LEN: tmpdir = tempfile.mkdtemp(dir=".snakemake", prefix="shell_tmp.") script = os.path.join(os.path.abspath(tmpdir), "script.sh") with open(script, "w") as script_fd: print(cmd, file=script_fd) os.chmod(script, os.stat(script).st_mode | stat.S_IXUSR | stat.S_IRUSR) cmd = '"{}" "{}"'.format(cls.get_executable() or "/bin/sh", script) if container_img: cmd = singularity.shellcmd( container_img, cmd, singularity_args, envvars=None, shell_executable=cls._process_args["executable"], container_workdir=shadow_dir, is_python_script=context.get("is_python_script", False), ) logger.info("Activating singularity image {}".format(container_img)) if conda_env: logger.info("Activating conda environment: {}".format(conda_env)) tmpdir_resource = resources.get("tmpdir", None) # environment variable lists for linear algebra libraries taken from: # https://stackoverflow.com/a/53224849/2352071 # https://github.com/xianyi/OpenBLAS/tree/59243d49ab8e958bb3872f16a7c0ef8c04067c0a#setting-the-number-of-threads-using-environment-variables envvars = dict(os.environ) threads = str(threads) envvars["OMP_NUM_THREADS"] = threads envvars["GOTO_NUM_THREADS"] = threads envvars["OPENBLAS_NUM_THREADS"] = threads envvars["MKL_NUM_THREADS"] = threads envvars["VECLIB_MAXIMUM_THREADS"] = threads envvars["NUMEXPR_NUM_THREADS"] = threads if tmpdir_resource: envvars["TMPDIR"] = tmpdir_resource envvars["TMP"] = tmpdir_resource envvars["TEMPDIR"] = tmpdir_resource envvars["TEMP"] = tmpdir_resource if "additional_envvars" in kwargs: env = kwargs["additional_envvars"] if not isinstance(env, dict) or not all( isinstance(v, str) for v in env.values() ): raise WorkflowError( "Given environment variables for shell command have to be a dict of strings, " "but the following was provided instead:\n{}".format(env) ) envvars.update(env) if conda_env and cls.conda_block_conflicting_envvars: # remove envvars that conflict with conda for var in ["R_LIBS", "PYTHONPATH", "PERLLIB", "PERL5LIB"]: try: del envvars[var] except KeyError: pass use_shell = True if ON_WINDOWS and cls.get_executable(): # If executable is set on Windows shell mode can not be used # and the executable should be prepended the command together # with a command prefix (e.g. -c for bash). use_shell = False cmd = '"{}" {} {}'.format( cls.get_executable(), cls._win_command_prefix, argvquote(cmd) ) proc = sp.Popen( cmd, bufsize=-1, shell=use_shell, stdout=stdout, universal_newlines=iterable or read or None, close_fds=close_fds, **cls._process_args, env=envvars, ) if jobid is not None: with cls._lock: cls._processes[jobid] = proc ret = None if iterable: return cls.iter_stdout(proc, cmd, tmpdir) if read: ret = proc.stdout.read() if bench_record is not None: from snakemake.benchmark import benchmarked with benchmarked(proc.pid, bench_record): retcode = proc.wait() else: retcode = proc.wait() if tmpdir: shutil.rmtree(tmpdir) if jobid is not None: with cls._lock: del cls._processes[jobid] if retcode: raise sp.CalledProcessError(retcode, cmd) return ret @staticmethod def iter_stdout(proc, cmd, tmpdir): for l in proc.stdout: yield l[:-1] retcode = proc.wait() if tmpdir: shutil.rmtree(tmpdir) if retcode: raise sp.CalledProcessError(retcode, cmd) # set bash as default shell on posix compatible OS if os.name == "posix": if not shutil.which("bash"): logger.warning( "Cannot set bash as default shell because it is not " "available in your PATH. Falling back to sh." ) if not shutil.which("sh"): logger.warning( "Cannot fall back to sh since it seems to be not " "available on this system. Using whatever is " "defined as default." ) else: shell.executable("sh") else: shell.executable("bash") elif ON_WINDOWS: shell.executable(None) snakemake-6.15.1/snakemake/sourcecache.py000066400000000000000000000243411417574166400203630ustar00rootroot00000000000000__authors__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import hashlib from pathlib import Path import re import os from snakemake import utils import tempfile import io from abc import ABC, abstractmethod from snakemake.common import ( ON_WINDOWS, is_local_file, get_appdirs, parse_uri, smart_join, ) from snakemake.exceptions import WorkflowError, SourceFileError from snakemake.io import git_content, split_git_path from snakemake.logging import logger def _check_git_args(tag: str = None, branch: str = None, commit: str = None): n_refs = sum(1 for ref in (tag, branch, commit) if ref is not None) if n_refs != 1: raise SourceFileError( "exactly one of tag, branch, or commit must be specified." ) class SourceFile(ABC): @abstractmethod def get_path_or_uri(self): ... @abstractmethod def is_persistently_cacheable(self): ... def get_uri_hash(self): urihash = hashlib.sha256() urihash.update(self.get_path_or_uri().encode()) return urihash.hexdigest() def get_basedir(self): path = os.path.dirname(self.get_path_or_uri()) return self.__class__(path) @abstractmethod def get_filename(self): ... def join(self, path): if isinstance(path, SourceFile): path = path.get_path_or_uri() return self.__class__(smart_join(self.get_path_or_uri(), path)) def __hash__(self): return self.get_path_or_uri().__hash__() def __eq__(self, other): if isinstance(other, SourceFile): return self.get_path_or_uri() == other.get_path_or_uri() return False def __str__(self): return self.get_path_or_uri() def simplify_path(self): return self class GenericSourceFile(SourceFile): def __init__(self, path_or_uri): self.path_or_uri = path_or_uri def get_path_or_uri(self): return self.path_or_uri def get_filename(self): return os.path.basename(self.path_or_uri) def is_persistently_cacheable(self): return False class LocalSourceFile(SourceFile): def __init__(self, path): self.path = path def get_path_or_uri(self): return self.path def is_persistently_cacheable(self): return False def get_filename(self): return os.path.basename(self.path) def abspath(self): return LocalSourceFile(os.path.abspath(self.path)) def isabs(self): return os.path.isabs(self.path) def simplify_path(self): return utils.simplify_path(self.path) def __fspath__(self): return self.path class LocalGitFile(SourceFile): def __init__( self, repo_path, path: str, tag: str = None, ref: str = None, commit: str = None ): _check_git_args(tag, ref, commit) self.tag = tag self.commit = commit self._ref = ref self.repo_path = repo_path self.path = path def get_path_or_uri(self): return "git+{}/{}@{}".format(self.repo_path, self.path, self.ref) def join(self, path): return LocalGitFile( self.repo_path, "/".join((self.path, path)), tag=self.tag, ref=self.ref, commit=self.commit, ) def is_persistently_cacheable(self): return False def get_filename(self): return os.path.basename(self.path) @property def ref(self): return self.tag or self.commit or self._ref class HostingProviderFile(SourceFile): """Marker for denoting github source files from releases.""" valid_repo = re.compile("^.+/.+$") def __init__( self, repo: str = None, path: str = None, tag: str = None, branch: str = None, commit: str = None, ): if repo is None: raise SourceFileError("repo must be given") if not self.__class__.valid_repo.match(repo): raise SourceFileError( "repo {} is not a valid repo specification (must be given as owner/name)." ) _check_git_args(tag, branch, commit) if path is None: raise SourceFileError("path must be given") if not all( isinstance(item, str) for item in (repo, path, tag, branch, commit) if item is not None ): raise SourceFileError("arguments must be given as str.") self.repo = repo self.tag = tag self.commit = commit self.branch = branch self.path = path.strip("/") def is_persistently_cacheable(self): return self.tag or self.commit def get_filename(self): return os.path.basename(self.path) @property def ref(self): return self.tag or self.commit or self.branch def get_basedir(self): return self.__class__( repo=self.repo, path=os.path.dirname(self.path), tag=self.tag, commit=self.commit, branch=self.branch, ) def join(self, path): path = os.path.normpath("{}/{}".format(self.path, path)) if ON_WINDOWS: # convert back to URL separators # (win specific separators are introduced by normpath above) path = path.replace("\\", "/") return self.__class__( repo=self.repo, path=path, tag=self.tag, commit=self.commit, branch=self.branch, ) class GithubFile(HostingProviderFile): def get_path_or_uri(self): return "https://github.com/{}/raw/{}/{}".format(self.repo, self.ref, self.path) class GitlabFile(HostingProviderFile): def __init__( self, repo: str, path: str, tag: str = None, branch: str = None, commit: str = None, host: str = None, ): super().__init__(repo, path, tag, branch, commit) self.host = host def get_path_or_uri(self): return "https://{}/{}/-/raw/{}/{}".format( self.host or "gitlab.com", self.repo, self.ref, self.path ) def infer_source_file(path_or_uri, basedir: SourceFile = None): if isinstance(path_or_uri, SourceFile): if basedir is None or isinstance(path_or_uri, HostingProviderFile): return path_or_uri else: path_or_uri = path_or_uri.get_path_or_uri() if isinstance(path_or_uri, Path): path_or_uri = str(path_or_uri) if not isinstance(path_or_uri, str): raise SourceFileError( "must be given as Python string or one of the predefined source file marker types (see docs)" ) if is_local_file(path_or_uri): # either local file or relative to some remote basedir for schema in ("file://", "file:"): if path_or_uri.startswith(schema): path_or_uri = path_or_uri[len(schema) :] break if not os.path.isabs(path_or_uri) and basedir is not None: return basedir.join(path_or_uri) return LocalSourceFile(path_or_uri) if path_or_uri.startswith("git+file:"): root_path, file_path, ref = split_git_path(path_or_uri) return LocalGitFile(root_path, file_path, ref=ref) # something else return GenericSourceFile(path_or_uri) class SourceCache: cache_whitelist = [ "https://raw.githubusercontent.com/snakemake/snakemake-wrappers/\d+\.\d+.\d+" ] # TODO add more prefixes for uris that are save to be cached def __init__(self, runtime_cache_path=None): self.cache = Path( os.path.join(get_appdirs().user_cache_dir, "snakemake/source-cache") ) os.makedirs(self.cache, exist_ok=True) if runtime_cache_path is None: self.runtime_cache = tempfile.TemporaryDirectory( suffix="snakemake-runtime-source-cache" ) self._runtime_cache_path = None else: self._runtime_cache_path = runtime_cache_path self.runtime_cache = None self.cacheable_prefixes = re.compile("|".join(self.cache_whitelist)) @property def runtime_cache_path(self): return self._runtime_cache_path or self.runtime_cache.name def lock_cache(self, entry): from filelock import FileLock return FileLock(entry.with_suffix(".lock")) def open(self, source_file, mode="r"): cache_entry = self._cache(source_file) return self._open(cache_entry, mode) def exists(self, source_file): try: self._cache(source_file) except Exception: return False return True def get_path(self, source_file, mode="r"): cache_entry = self._cache(source_file) return cache_entry def _cache_entry(self, source_file): urihash = source_file.get_uri_hash() # TODO add git support to smart_open! if source_file.is_persistently_cacheable(): # check cache return self.cache / urihash else: # check runtime cache return Path(self.runtime_cache_path) / urihash def _cache(self, source_file): cache_entry = self._cache_entry(source_file) with self.lock_cache(cache_entry): if not cache_entry.exists(): self._do_cache(source_file, cache_entry) return cache_entry def _do_cache(self, source_file, cache_entry): # open from origin with self._open(source_file.get_path_or_uri(), "rb") as source, open( cache_entry, "wb" ) as cache_source: cache_source.write(source.read()) def _open(self, path_or_uri, mode): from smart_open import open if isinstance(path_or_uri, LocalGitFile): import git return io.BytesIO( git.Repo(path_or_uri.repo_path) .git.show("{}:{}".format(path_or_uri.ref, path_or_uri.path)) .encode() ) if isinstance(path_or_uri, SourceFile): path_or_uri = path_or_uri.get_path_or_uri() try: return open(path_or_uri, mode) except Exception as e: raise WorkflowError("Failed to open source file {}".format(path_or_uri), e) snakemake-6.15.1/snakemake/stats.py000066400000000000000000000050321417574166400172310ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import time import csv import json from collections import defaultdict import snakemake.jobs fmt_time = time.ctime class Stats: def __init__(self): self.starttime = dict() self.endtime = dict() def report_job_start(self, job): if job.is_group(): for j in job: self.starttime[j] = time.time() else: self.starttime[job] = time.time() def report_job_end(self, job): if job.is_group(): for j in job: self.endtime[j] = time.time() else: self.endtime[job] = time.time() @property def rule_stats(self): runtimes = defaultdict(list) for job, t in self.starttime.items(): runtimes[job.rule].append(self.endtime[job] - t) for rule, runtimes in runtimes.items(): yield (rule, sum(runtimes) / len(runtimes), min(runtimes), max(runtimes)) @property def file_stats(self): for job, t in self.starttime.items(): for f in job.expanded_output: start, stop = t, self.endtime[job] yield f, fmt_time(start), fmt_time(stop), stop - start, job @property def overall_runtime(self): if self.starttime and self.endtime: return max(self.endtime.values()) - min(self.starttime.values()) else: return 0 def to_json(self, path): rule_stats = { rule.name: { "mean-runtime": mean_runtime, "min-runtime": min_runtime, "max-runtime": max_runtime, } for rule, mean_runtime, min_runtime, max_runtime in self.rule_stats } file_stats = { f: { "start-time": start, "stop-time": stop, "duration": duration, "priority": job.priority if job.priority != snakemake.jobs.Job.HIGHEST_PRIORITY else "highest", "resources": dict(job.resources.items()), } for f, start, stop, duration, job in self.file_stats } with open(path, "w") as f: json.dump( { "total_runtime": self.overall_runtime, "rules": rule_stats, "files": file_stats, }, f, indent=4, ) snakemake-6.15.1/snakemake/unit_tests/000077500000000000000000000000001417574166400177225ustar00rootroot00000000000000snakemake-6.15.1/snakemake/unit_tests/__init__.py000066400000000000000000000073721417574166400220440ustar00rootroot00000000000000import textwrap from itertools import groupby from pathlib import Path import shutil import os from snakemake.logging import logger from snakemake import __version__ class RuleTest: def __init__(self, job, basedir): self.name = job.rule.name self.output = job.output self.path = basedir / self.name @property def target(self): return self.output or self.name @property def data_path(self): return self.path / "data" @property def expected_path(self): return self.path / "expected" def generate(dag, path, deploy=["conda", "singularity"], configfiles=None): """Generate unit tests from given dag at a given path.""" logger.info("Generating unit tests for each rule...") try: from jinja2 import Template, Environment, PackageLoader except ImportError: raise WorkflowError( "Python package jinja2 must be installed to create reports." ) env = Environment( loader=PackageLoader("snakemake", "unit_tests/templates"), trim_blocks=True, lstrip_blocks=True, ) path = Path(path) os.makedirs(path, exist_ok=True) with open(path / "common.py", "w") as common: print( env.get_template("common.py.jinja2").render(version=__version__), file=common, ) for rulename, jobs in groupby(dag.jobs, key=lambda job: job.rule.name): testpath = path / "test_{}.py".format(rulename) if testpath.exists(): logger.info( "Skipping rule {} as a unit test already exists for it: {}.".format( rulename, testpath ) ) continue written = False for job in jobs: if all(f.exists for f in job.input): logger.info( "Generating unit test for rule {}: {}.".format(rulename, testpath) ) os.makedirs(path / rulename, exist_ok=True) def copy_files(files, content_type): for f in files: f = Path(f) parent = f.parent if parent.is_absolute(): root = str(f.parents[len(f.parents) - 1]) parent = str(parent)[len(root) :] print(parent) target = path / rulename / content_type / parent os.makedirs(target, exist_ok=True) if f.is_dir(): shutil.copytree(f, target) else: shutil.copy(f, target) if not files: os.makedirs(path / rulename / content_type, exist_ok=True) # touch gitempty file if there are no input files open(path / rulename / content_type / ".gitempty", "w").close() copy_files(job.input, "data") copy_files(job.expanded_output, "expected") with open(testpath, "w") as test: print( env.get_template("ruletest.py.jinja2").render( ruletest=RuleTest(job, path), deploy=deploy, configfiles=configfiles, ), file=test, ) written = True break if not written: logger.warning( "No job with all input files present for rule {}. " "Consider re-executing the workflow with --notemp in order " "have all input files present before generating unit tests." ) snakemake-6.15.1/snakemake/unit_tests/templates/000077500000000000000000000000001417574166400217205ustar00rootroot00000000000000snakemake-6.15.1/snakemake/unit_tests/templates/__init__.py000066400000000000000000000000001417574166400240170ustar00rootroot00000000000000snakemake-6.15.1/snakemake/unit_tests/templates/common.py.jinja2000066400000000000000000000031321417574166400247350ustar00rootroot00000000000000""" Common code for unit testing of rules generated with Snakemake {{ version }}. """ from pathlib import Path import subprocess as sp import os class OutputChecker: def __init__(self, data_path, expected_path, workdir): self.data_path = data_path self.expected_path = expected_path self.workdir = workdir def check(self): input_files = set( (Path(path) / f).relative_to(self.data_path) for path, subdirs, files in os.walk(self.data_path) for f in files ) expected_files = set( (Path(path) / f).relative_to(self.expected_path) for path, subdirs, files in os.walk(self.expected_path) for f in files ) unexpected_files = set() for path, subdirs, files in os.walk(self.workdir): for f in files: f = (Path(path) / f).relative_to(self.workdir) if str(f).startswith(".snakemake"): continue if f in expected_files: self.compare_files(self.workdir / f, self.expected_path / f) elif f in input_files: # ignore input files pass else: unexpected_files.add(f) if unexpected_files: raise ValueError( "Unexpected files:\n{}".format( "\n".join(sorted(map(str, unexpected_files))) ) ) def compare_files(self, generated_file, expected_file): sp.check_output(["cmp", generated_file, expected_file]) snakemake-6.15.1/snakemake/unit_tests/templates/ruletest.py.jinja2000066400000000000000000000031371417574166400253210ustar00rootroot00000000000000import os import sys import subprocess as sp from tempfile import TemporaryDirectory import shutil from pathlib import Path, PurePosixPath sys.path.insert(0, os.path.dirname(__file__)) import common def test_{{ ruletest.name }}(): with TemporaryDirectory() as tmpdir: workdir = Path(tmpdir) / "workdir" data_path = PurePosixPath("{{ ruletest.data_path.as_posix() }}") expected_path = PurePosixPath("{{ ruletest.expected_path.as_posix() }}") # Copy data to the temporary workdir. shutil.copytree(data_path, workdir) # dbg print("{{ ruletest.target }}", file=sys.stderr) # Run the test job. sp.check_output([ "python", "-m", "snakemake", "{{ ruletest.target }}", "-F", "-j1", "--keep-target-files", {% if configfiles %} "--configfile", {% for configfile in configfiles %} {{ configfile }} {% endfor %} {% endif %} {% if "conda" in deploy %} "--use-conda", {% endif %} {% if "singularity" in deploy %} "--use-singularity", {% endif %} "--directory", workdir, ]) # Check the output byte by byte using cmp. # To modify this behavior, you can inherit from common.OutputChecker in here # and overwrite the method `compare_files(generated_file, expected_file), # also see common.py. common.OutputChecker(data_path, expected_path, workdir).check()snakemake-6.15.1/snakemake/utils.py000066400000000000000000000630171417574166400172420ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import json import re import inspect from snakemake.sourcecache import LocalSourceFile, infer_source_file import textwrap import platform from itertools import chain import collections import multiprocessing import string import shlex import sys from urllib.parse import urljoin from urllib.request import url2pathname from snakemake.io import regex, Namedlist, Wildcards, _load_configfile from snakemake.logging import logger from snakemake.common import ON_WINDOWS, is_local_file, smart_join from snakemake.exceptions import WorkflowError import snakemake def validate(data, schema, set_default=True): """Validate data with JSON schema at given path. Args: data (object): data to validate. Can be a config dict or a pandas data frame. schema (str): Path to JSON schema used for validation. The schema can also be in YAML format. If validating a pandas data frame, the schema has to describe a row record (i.e., a dict with column names as keys pointing to row values). See https://json-schema.org. The path is interpreted relative to the Snakefile when this function is called. set_default (bool): set default values defined in schema. See https://python-jsonschema.readthedocs.io/en/latest/faq/ for more information """ frame = inspect.currentframe().f_back workflow = frame.f_globals.get("workflow") if workflow and workflow.modifier.skip_validation: # skip if a corresponding modifier has been defined return try: import jsonschema from jsonschema import validators, RefResolver except ImportError: raise WorkflowError( "The Python 3 package jsonschema must be installed " "in order to use the validate directive." ) schemafile = infer_source_file(schema) if isinstance(schemafile, LocalSourceFile) and not schemafile.isabs() and workflow: # if workflow object is not available this has not been started from a workflow schemafile = workflow.current_basedir.join(schemafile) source = ( workflow.sourcecache.open(schemafile) if workflow else schemafile.get_path_or_uri() ) schema = _load_configfile(source, filetype="Schema") if isinstance(schemafile, LocalSourceFile): resolver = RefResolver( urljoin("file:", schemafile.get_path_or_uri()), schema, handlers={ "file": lambda uri: _load_configfile(re.sub("^file://", "", uri)) }, ) else: resolver = RefResolver( schemafile.get_path_or_uri(), schema, ) # Taken from https://python-jsonschema.readthedocs.io/en/latest/faq/ def extend_with_default(validator_class): validate_properties = validator_class.VALIDATORS["properties"] def set_defaults(validator, properties, instance, schema): for property, subschema in properties.items(): if "default" in subschema: instance.setdefault(property, subschema["default"]) for error in validate_properties(validator, properties, instance, schema): yield error return validators.extend(validator_class, {"properties": set_defaults}) Validator = validators.validator_for(schema) if Validator.META_SCHEMA["$schema"] != schema["$schema"]: logger.warning( "No validator found for JSON Schema version identifier '{}'".format( schema["$schema"] ) ) logger.warning( "Defaulting to validator for JSON Schema version '{}'".format( Validator.META_SCHEMA["$schema"] ) ) logger.warning("Note that schema file may not be validated correctly.") DefaultValidator = extend_with_default(Validator) if not isinstance(data, dict): try: import pandas as pd recordlist = [] if isinstance(data, pd.DataFrame): for i, record in enumerate(data.to_dict("records")): record = {k: v for k, v in record.items() if not pd.isnull(v)} try: if set_default: DefaultValidator(schema, resolver=resolver).validate(record) recordlist.append(record) else: jsonschema.validate(record, schema, resolver=resolver) except jsonschema.exceptions.ValidationError as e: raise WorkflowError( "Error validating row {} of data frame.".format(i), e ) if set_default: newdata = pd.DataFrame(recordlist, data.index) newcol = ~newdata.columns.isin(data.columns) n = len(data.columns) for col in newdata.loc[:, newcol].columns: data.insert(n, col, newdata.loc[:, col]) n = n + 1 return except ImportError: pass raise WorkflowError("Unsupported data type for validation.") else: try: if set_default: DefaultValidator(schema, resolver=resolver).validate(data) else: jsonschema.validate(data, schema, resolver=resolver) except jsonschema.exceptions.ValidationError as e: raise WorkflowError("Error validating config file.", e) def simplify_path(path): """Return a simplified version of the given path.""" relpath = os.path.relpath(path) if relpath.startswith("../../"): return path else: return relpath def linecount(filename): """Return the number of lines of the given file. Args: filename (str): the path to the file """ with open(filename) as f: return sum(1 for l in f) def listfiles(pattern, restriction=None, omit_value=None): """Yield a tuple of existing filepaths for the given pattern. Wildcard values are yielded as the second tuple item. Args: pattern (str): a filepattern. Wildcards are specified in snakemake syntax, e.g. "{id}.txt" restriction (dict): restrict to wildcard values given in this dictionary omit_value (str): wildcard value to omit Yields: tuple: The next file matching the pattern, and the corresponding wildcards object """ pattern = os.path.normpath(pattern) first_wildcard = re.search("{[^{]", pattern) if first_wildcard: dirname = os.path.dirname(pattern[: first_wildcard.start()]) if not dirname: dirname = "." else: dirname = os.path.dirname(pattern) pattern = re.compile(regex(pattern)) for dirpath, dirnames, filenames in os.walk(dirname): for f in chain(filenames, dirnames): if dirpath != ".": f = os.path.normpath(os.path.join(dirpath, f)) match = re.match(pattern, f) if match: wildcards = Namedlist(fromdict=match.groupdict()) if restriction is not None: invalid = any( omit_value not in v and v != wildcards[k] for k, v in restriction.items() ) if not invalid: yield f, wildcards else: yield f, wildcards def makedirs(dirnames): """Recursively create the given directory or directories without reporting errors if they are present. """ if isinstance(dirnames, str): dirnames = [dirnames] for dirname in dirnames: os.makedirs(dirname, exist_ok=True) def report( text, path, stylesheet=None, defaultenc="utf8", template=None, metadata=None, **files ): """Create an HTML report using python docutils. This is deprecated in favor of the --report flag. Attention: This function needs Python docutils to be installed for the python installation you use with Snakemake. All keywords not listed below are interpreted as paths to files that shall be embedded into the document. The keywords will be available as link targets in the text. E.g. append a file as keyword arg via F1=input[0] and put a download link in the text like this: .. code:: python report(''' ============== Report for ... ============== Some text. A link to an embedded file: F1_. Further text. ''', outputpath, F1=input[0]) Instead of specifying each file as a keyword arg, you can also expand the input of your rule if it is completely named, e.g.: report(''' Some text... ''', outputpath, **input) Args: text (str): The "restructured text" as it is expected by python docutils. path (str): The path to the desired output file stylesheet (str): An optional path to a CSS file that defines the style of the document. This defaults to /report.css. Use the default to get a hint on how to create your own. defaultenc (str): The encoding that is reported to the browser for embedded text files, defaults to utf8. template (str): An optional path to a docutils HTML template. metadata (str): E.g. an optional author name or email address. """ if stylesheet is None: os.path.join(os.path.dirname(__file__), "report.css") try: import snakemake.report except ImportError: raise WorkflowError( "Python 3 package docutils needs to be installed to use the report function." ) snakemake.report.report( text, path, stylesheet=stylesheet, defaultenc=defaultenc, template=template, metadata=metadata, **files ) def R(code): """Execute R code. This is deprecated in favor of the ``script`` directive. This function executes the R code given as a string. The function requires rpy2 to be installed. Args: code (str): R code to be executed """ try: import rpy2.robjects as robjects except ImportError: raise ValueError( "Python 3 package rpy2 needs to be installed to use the R function." ) robjects.r(format(textwrap.dedent(code), stepout=2)) class SequenceFormatter(string.Formatter): """string.Formatter subclass with special behavior for sequences. This class delegates the formatting of individual elements to another formatter object. Non-list objects are formatted by calling the delegate formatter's "format_field" method. List-like objects (list, tuple, set, frozenset) are formatted by formatting each element of the list according to the specified format spec using the delegate formatter and then joining the resulting strings with a separator (space by default). """ def __init__( self, separator=" ", element_formatter=string.Formatter(), *args, **kwargs ): self.separator = separator self.element_formatter = element_formatter def format_element(self, elem, format_spec): """Format a single element For sequences, this is called once for each element in a sequence. For anything else, it is called on the entire object. It is intended to be overridden in subclases. """ return self.element_formatter.format_field(elem, format_spec) def format_field(self, value, format_spec): if isinstance(value, Wildcards): return ",".join( "{}={}".format(name, value) for name, value in sorted(value.items(), key=lambda item: item[0]) ) if isinstance(value, (list, tuple, set, frozenset)): return self.separator.join( self.format_element(v, format_spec) for v in value ) else: return self.format_element(value, format_spec) class QuotedFormatter(string.Formatter): """Subclass of string.Formatter that supports quoting. Using this formatter, any field can be quoted after formatting by appending "q" to its format string. By default, shell quoting is performed using "shlex.quote", but you can pass a different quote_func to the constructor. The quote_func simply has to take a string argument and return a new string representing the quoted form of the input string. Note that if an element after formatting is the empty string, it will not be quoted. """ def __init__(self, quote_func=None, *args, **kwargs): if quote_func is None: quote_func = shlex.quote self.quote_func = quote_func super().__init__(*args, **kwargs) def format_field(self, value, format_spec): if format_spec.endswith("u"): format_spec = format_spec[:-1] do_quote = False else: do_quote = format_spec.endswith("q") if do_quote: format_spec = format_spec[:-1] formatted = super().format_field(value, format_spec) if do_quote and formatted != "": formatted = self.quote_func(formatted) return formatted class AlwaysQuotedFormatter(QuotedFormatter): """Subclass of QuotedFormatter that always quotes. Usage is identical to QuotedFormatter, except that it *always* acts like "q" was appended to the format spec, unless u (for unquoted) is appended. """ def format_field(self, value, format_spec): if not format_spec.endswith("q") and not format_spec.endswith("u"): format_spec += "q" return super().format_field(value, format_spec) def format(_pattern, *args, stepout=1, _quote_all=False, quote_func=None, **kwargs): """Format a pattern in Snakemake style. This means that keywords embedded in braces are replaced by any variable values that are available in the current namespace. """ frame = inspect.currentframe().f_back while stepout > 1: if not frame.f_back: break frame = frame.f_back stepout -= 1 variables = dict(frame.f_globals) # add local variables from calling rule/function variables.update(frame.f_locals) if "self" in variables and sys.version_info < (3, 5): # self is the first arg of fmt.format as well. Not removing it would # cause a multiple values error on Python <=3.4.2. del variables["self"] variables.update(kwargs) fmt = SequenceFormatter(separator=" ") if _quote_all: fmt.element_formatter = AlwaysQuotedFormatter(quote_func) else: fmt.element_formatter = QuotedFormatter(quote_func) try: return fmt.format(_pattern, *args, **variables) except KeyError as ex: if str(ex).strip("'") in variables["wildcards"].keys(): raise NameError( "The name '{0}' is unknown in this context. " "Did you mean 'wildcards.{0}'?".format(str(ex).strip("'")) ) raise NameError( "The name {} is unknown in this context. Please " "make sure that you defined that variable. " "Also note that braces not used for variable access " "have to be escaped by repeating them, " "i.e. {{{{print $1}}}}".format(str(ex)) ) class Unformattable: def __init__(self, errormsg="This cannot be used for formatting"): self.errormsg = errormsg def __str__(self): raise ValueError(self.errormsg) def read_job_properties( jobscript, prefix="# properties", pattern=re.compile("# properties = (.*)") ): """Read the job properties defined in a snakemake jobscript. This function is a helper for writing custom wrappers for the snakemake --cluster functionality. Applying this function to a jobscript will return a dict containing information about the job. """ with open(jobscript) as jobscript: for m in map(pattern.match, jobscript): if m: return json.loads(m.group(1)) def min_version(version): """Require minimum snakemake version, raise workflow error if not met.""" import pkg_resources if pkg_resources.parse_version(snakemake.__version__) < pkg_resources.parse_version( version ): raise WorkflowError( "Expecting Snakemake version {} or higher (you are currently using {}).".format( version, snakemake.__version__ ) ) def update_config(config, overwrite_config): """Recursively update dictionary config with overwrite_config. See https://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth for details. Args: config (dict): dictionary to update overwrite_config (dict): dictionary whose items will overwrite those in config """ def _update(d, u): for (key, value) in u.items(): if isinstance(value, collections.abc.Mapping): d[key] = _update(d.get(key, {}), value) else: d[key] = value return d _update(config, overwrite_config) def available_cpu_count(): """ Return the number of available virtual or physical CPUs on this system. The number of available CPUs can be smaller than the total number of CPUs when the cpuset(7) mechanism is in use, as is the case on some cluster systems. Adapted from https://stackoverflow.com/a/1006301/715090 """ try: with open("/proc/self/status") as f: status = f.read() m = re.search(r"(?m)^Cpus_allowed:\s*(.*)$", status) if m: res = bin(int(m.group(1).replace(",", ""), 16)).count("1") if res > 0: return min(res, multiprocessing.cpu_count()) except IOError: pass return multiprocessing.cpu_count() def argvquote(arg, force=True): """Returns an argument quoted in such a way that CommandLineToArgvW on Windows will return the argument string unchanged. This is the same thing Popen does when supplied with a list of arguments. Arguments in a command line should be separated by spaces; this function does not add these spaces. This implementation follows the suggestions outlined here: https://blogs.msdn.microsoft.com/twistylittlepassagesallalike/2011/04/23/everyone-quotes-command-line-arguments-the-wrong-way/ """ if not force and len(arg) != 0 and not any([c in arg for c in ' \t\n\v"']): return arg else: n_backslashes = 0 cmdline = '"' for c in arg: if c == "\\": # first count the number of current backslashes n_backslashes += 1 continue if c == '"': # Escape all backslashes and the following double quotation mark cmdline += (n_backslashes * 2 + 1) * "\\" else: # backslashes are not special here cmdline += n_backslashes * "\\" n_backslashes = 0 cmdline += c # Escape all backslashes, but let the terminating # double quotation mark we add below be interpreted # as a metacharacter cmdline += +n_backslashes * 2 * "\\" + '"' return cmdline def cmd_exe_quote(arg): """Quotes an argument in a cmd.exe compliant way.""" arg = argvquote(arg) cmd_exe_metachars = '^()%!"<>&|' for char in cmd_exe_metachars: arg.replace(char, "^" + char) return arg def os_sync(): """Ensure flush to disk""" if not ON_WINDOWS: os.sync() def find_bash_on_windows(): """ Find the path to a usable bash on windows. The first attempt is to look for a bash installed with a git conda package. Alternatively, try bash installed with 'Git for Windows'. """ if not ON_WINDOWS: return None # First look for bash in git's conda package bashcmd = os.path.join(os.path.dirname(sys.executable), r"Library\bin\bash.exe") if not os.path.exists(bashcmd): # Otherwise try bash installed with "Git for Windows". import winreg try: key = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, "SOFTWARE\\GitForWindows") gfwp, _ = winreg.QueryValueEx(key, "InstallPath") bashcmd = os.path.join(gfwp, "bin\\bash.exe") except FileNotFoundError: bashcmd = "" return bashcmd if os.path.exists(bashcmd) else None class Paramspace: """A wrapper for pandas dataframes that provides helpers for using them as a parameter space in Snakemake. This is heavily inspired by @soumitrakp work on JUDI (https://github.com/ncbi/JUDI). By default, a directory structure with on folder level per parameter is created (e.g. column1~{column1}/column2~{column2}/***). The exact behavior can be tweaked with two parameters: - ``filename_params`` takes a list of column names of the passed dataframe. These names are used to build the filename (separated by '_') in the order in which they are passed. All remaining parameters will be used to generate a directory structure. Example for a data frame with four columns named column1 to column4: | ``Paramspace(df, filename_params=["column3", "column2"])`` -> | column1~{value1}/column4~{value4}/column3~{value3}_column2~{value2} If ``filename_params="*"``, all columns of the dataframe are encoded into the filename instead of parent directories. - ``param_sep`` takes a string that is used to join the column name and column value in the generated paths (Default: '~'). Example: | ``Paramspace(df, param_sep=":")`` -> | column1:{value1}/column2:{value2}/column3:{value3}/column4:{value4} """ def __init__(self, dataframe, filename_params=None, param_sep="~"): self.dataframe = dataframe self.param_sep = param_sep if filename_params is None or not filename_params: # create a pattern of the form {}/{}/{} with one entry for each # column in the dataframe self.pattern = "/".join([r"{}"] * len(self.dataframe.columns)) self.ordered_columns = self.dataframe.columns else: if isinstance(filename_params, str) and filename_params == "*": filename_params = dataframe.columns if any((param not in dataframe.columns for param in filename_params)): raise KeyError( "One or more entries of filename_params are not valid coulumn names for the param file." ) elif len(set(filename_params)) != len(filename_params): raise ValueError("filename_params must be unique") # create a pattern of the form {}/{}_{} with one entry for each # column in the dataframe. The number of underscore-separated # fields is equal to the number filename_params self.pattern = "/".join( [r"{}"] * (len(self.dataframe.columns) - len(filename_params) + 1) ) self.pattern = "_".join( [self.pattern] + [r"{}"] * (len(filename_params) - 1) ) self.ordered_columns = [ param for param in self.dataframe.columns if param not in filename_params ] self.ordered_columns.extend(list(filename_params)) self.dataframe = self.dataframe[self.ordered_columns] @property def wildcard_pattern(self): """Wildcard pattern over all columns of the underlying dataframe of the form column1~{column1}/column2~{column2}/*** or of the provided custom pattern. """ return self.pattern.format( *map(self.param_sep.join(("{0}", "{{{0}}}")).format, self.ordered_columns) ) @property def instance_patterns(self): """Iterator over all instances of the parameter space (dataframe rows), formatted as file patterns of the form column1~{value1}/column2~{value2}/... or of the provided custom pattern. """ return ( self.pattern.format( *( self.param_sep.join(("{}", "{}")).format(name, value) for name, value in row.items() ) ) for index, row in self.dataframe.iterrows() ) def instance(self, wildcards): """Obtain instance (dataframe row) with the given wildcard values.""" import pandas as pd def convert_value_dtype(name, value): if self.dataframe.dtypes[name] == bool and value == "False": # handle problematic case when boolean False is returned as # boolean True because the string "False" is misinterpreted return False else: return pd.Series([value]).astype(self.dataframe.dtypes[name])[0] return { name: convert_value_dtype(name, value) for name, value in wildcards.items() if name in self.ordered_columns } def __getattr__(self, name): import pandas as pd ret = getattr(self.dataframe, name) if isinstance(ret, pd.DataFrame): return Paramspace(ret) return ret def __getitem__(self, key): import pandas as pd ret = self.dataframe[key] if isinstance(ret, pd.DataFrame): return Paramspace(ret) return ret snakemake-6.15.1/snakemake/workflow.py000066400000000000000000002015421417574166400177510ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import re import os import sys import signal import json from tokenize import maybe import urllib from collections import OrderedDict, namedtuple from itertools import filterfalse, chain from functools import partial from operator import attrgetter import copy import subprocess from pathlib import Path from urllib.request import pathname2url, url2pathname from snakemake.logging import logger, format_resources, format_resource_names from snakemake.rules import Rule, Ruleorder, RuleProxy from snakemake.exceptions import ( CreateCondaEnvironmentException, RuleException, CreateRuleException, UnknownRuleException, NoRulesException, print_exception, WorkflowError, ) from snakemake.shell import shell from snakemake.dag import DAG from snakemake.scheduler import JobScheduler from snakemake.parser import parse import snakemake.io from snakemake.io import ( protected, temp, temporary, ancient, directory, expand, dynamic, glob_wildcards, flag, not_iterable, touch, unpack, local, pipe, repeat, report, multiext, IOFile, ) from snakemake.persistence import Persistence from snakemake.utils import update_config from snakemake.script import script from snakemake.notebook import notebook from snakemake.wrapper import wrapper from snakemake.cwl import cwl import snakemake.wrapper from snakemake.common import ( Mode, bytesto, ON_WINDOWS, is_local_file, parse_uri, Rules, Scatter, Gather, smart_join, NOTHING_TO_BE_DONE_MSG, ) from snakemake.utils import simplify_path from snakemake.checkpoints import Checkpoint, Checkpoints from snakemake.resources import DefaultResources from snakemake.caching.local import OutputFileCache as LocalOutputFileCache from snakemake.caching.remote import OutputFileCache as RemoteOutputFileCache from snakemake.modules import ModuleInfo, WorkflowModifier, get_name_modifier_func from snakemake.ruleinfo import RuleInfo from snakemake.sourcecache import ( GenericSourceFile, LocalSourceFile, SourceCache, SourceFile, infer_source_file, ) from snakemake.deployment.conda import Conda, is_conda_env_file from snakemake import sourcecache class Workflow: def __init__( self, snakefile=None, jobscript=None, overwrite_shellcmd=None, overwrite_config=None, overwrite_workdir=None, overwrite_configfiles=None, overwrite_clusterconfig=None, overwrite_threads=None, overwrite_scatter=None, overwrite_groups=None, overwrite_resources=None, group_components=None, config_args=None, debug=False, verbose=False, use_conda=False, conda_frontend=None, conda_prefix=None, use_singularity=False, use_env_modules=False, singularity_prefix=None, singularity_args="", shadow_prefix=None, scheduler_type="ilp", scheduler_ilp_solver=None, mode=Mode.default, wrapper_prefix=None, printshellcmds=False, restart_times=None, attempt=1, default_remote_provider=None, default_remote_prefix="", run_local=True, default_resources=None, cache=None, nodes=1, cores=1, resources=None, conda_cleanup_pkgs=None, edit_notebook=False, envvars=None, max_inventory_wait_time=20, conda_not_block_search_path_envvars=False, execute_subworkflows=True, scheduler_solver_path=None, conda_base_path=None, check_envvars=True, max_threads=None, all_temp=False, ): """ Create the controller. """ self.global_resources = dict() if resources is None else resources self.global_resources["_cores"] = cores self.global_resources["_nodes"] = nodes self._rules = OrderedDict() self.default_target = None self._workdir = None self.overwrite_workdir = overwrite_workdir self.workdir_init = os.path.abspath(os.curdir) self._ruleorder = Ruleorder() self._localrules = set() self.linemaps = dict() self.rule_count = 0 self.basedir = os.path.dirname(snakefile) self.main_snakefile = os.path.abspath(snakefile) self.included = [] self.included_stack = [] self.jobscript = jobscript self.persistence = None self._subworkflows = dict() self.overwrite_shellcmd = overwrite_shellcmd self.overwrite_config = overwrite_config or dict() self.overwrite_configfiles = overwrite_configfiles self.overwrite_clusterconfig = overwrite_clusterconfig or dict() self.overwrite_threads = overwrite_threads or dict() self.overwrite_resources = overwrite_resources or dict() self.config_args = config_args self.immediate_submit = None self._onsuccess = lambda log: None self._onerror = lambda log: None self._onstart = lambda log: None self._wildcard_constraints = dict() self.debug = debug self.verbose = verbose self._rulecount = 0 self.use_conda = use_conda self.conda_frontend = conda_frontend self.conda_prefix = conda_prefix self.use_singularity = use_singularity self.use_env_modules = use_env_modules self.singularity_prefix = singularity_prefix self.singularity_args = singularity_args self.shadow_prefix = shadow_prefix self.scheduler_type = scheduler_type self.scheduler_ilp_solver = scheduler_ilp_solver self.global_container_img = None self.global_is_containerized = False self.mode = mode self.wrapper_prefix = wrapper_prefix self.printshellcmds = printshellcmds self.restart_times = restart_times self.attempt = attempt self.default_remote_provider = default_remote_provider self.default_remote_prefix = default_remote_prefix self.configfiles = list(overwrite_configfiles) or [] self.run_local = run_local self.report_text = None self.conda_cleanup_pkgs = conda_cleanup_pkgs self.edit_notebook = edit_notebook # environment variables to pass to jobs # These are defined via the "envvars:" syntax in the Snakefile itself self.envvars = set() self.overwrite_groups = overwrite_groups or dict() self.group_components = group_components or dict() self._scatter = dict(overwrite_scatter or dict()) self.overwrite_scatter = overwrite_scatter or dict() self.conda_not_block_search_path_envvars = conda_not_block_search_path_envvars self.execute_subworkflows = execute_subworkflows self.modules = dict() self.sourcecache = SourceCache() self.scheduler_solver_path = scheduler_solver_path self._conda_base_path = conda_base_path self.check_envvars = check_envvars self.max_threads = max_threads self.all_temp = all_temp self.scheduler = None _globals = globals() _globals["workflow"] = self _globals["cluster_config"] = copy.deepcopy(self.overwrite_clusterconfig) _globals["rules"] = Rules() _globals["checkpoints"] = Checkpoints() _globals["scatter"] = Scatter() _globals["gather"] = Gather() _globals["github"] = sourcecache.GithubFile _globals["gitlab"] = sourcecache.GitlabFile self.vanilla_globals = dict(_globals) self.modifier_stack = [WorkflowModifier(self, globals=_globals)] self.enable_cache = False if cache is not None: self.enable_cache = True self.cache_rules = set(cache) if self.default_remote_provider is not None: self.output_file_cache = RemoteOutputFileCache( self.default_remote_provider ) else: self.output_file_cache = LocalOutputFileCache() else: self.output_file_cache = None self.cache_rules = set() if default_resources is not None: self.default_resources = default_resources else: # only _cores, _nodes, and _tmpdir self.default_resources = DefaultResources(mode="bare") self.iocache = snakemake.io.IOCache(max_inventory_wait_time) self.globals["config"] = copy.deepcopy(self.overwrite_config) if envvars is not None: self.register_envvars(*envvars) @property def conda_base_path(self): if self._conda_base_path: return self._conda_base_path if self.use_conda: try: return Conda().prefix_path except CreateCondaEnvironmentException as e: # Return no preset conda base path now and report error later in jobs. return None else: return None @property def modifier(self): return self.modifier_stack[-1] @property def globals(self): return self.modifier.globals def lint(self, json=False): from snakemake.linting.rules import RuleLinter from snakemake.linting.snakefiles import SnakefileLinter json_snakefile_lints, snakefile_linted = SnakefileLinter( self, self.included ).lint(json=json) json_rule_lints, rules_linted = RuleLinter(self, self.rules).lint(json=json) linted = snakefile_linted or rules_linted if json: import json print( json.dumps( {"snakefiles": json_snakefile_lints, "rules": json_rule_lints}, indent=2, ) ) else: if not linted: logger.info("Congratulations, your workflow is in a good condition!") return linted def is_cached_rule(self, rule: Rule): return rule.name in self.cache_rules def get_sources(self): files = set() def local_path(f): if not isinstance(f, SourceFile) and is_local_file(f): return f if isinstance(f, LocalSourceFile): return f.get_path_or_uri() def norm_rule_relpath(f, rule): if not os.path.isabs(f): f = os.path.join(rule.basedir, f) return os.path.relpath(f) # get registered sources for f in self.included: f = local_path(f) if f: try: f = os.path.relpath(f) except ValueError: if ON_WINDOWS: pass # relpath doesn't work on win if files are on different drive else: raise files.add(f) for rule in self.rules: script_path = rule.script or rule.notebook if script_path: script_path = norm_rule_relpath(script_path, rule) files.add(script_path) script_dir = os.path.dirname(script_path) files.update( os.path.join(dirpath, f) for dirpath, _, files in os.walk(script_dir) for f in files ) if rule.conda_env and rule.conda_env.is_file: f = local_path(rule.conda_env.file) if f: # url points to a local env file env_path = norm_rule_relpath(f, rule) files.add(env_path) for f in self.configfiles: files.add(f) # get git-managed files # TODO allow a manifest file as alternative try: out = subprocess.check_output( ["git", "ls-files", "--recurse-submodules", "."], stderr=subprocess.PIPE ) for f in out.decode().split("\n"): if f: files.add(os.path.relpath(f)) except subprocess.CalledProcessError as e: if "fatal: not a git repository" in e.stderr.decode().lower(): logger.warning( "Unable to retrieve additional files from git. " "This is not a git repository." ) else: raise WorkflowError( "Error executing git:\n{}".format(e.stderr.decode()) ) return files def check_source_sizes(self, filename, warning_size_gb=0.2): """A helper function to check the filesize, and return the file to the calling function Additionally, given that we encourage these packages to be small, we set a warning at 200MB (0.2GB). """ gb = bytesto(os.stat(filename).st_size, "g") if gb > warning_size_gb: logger.warning( "File {} (size {} GB) is greater than the {} GB suggested size " "Consider uploading larger files to storage first.".format( filename, gb, warning_size_gb ) ) return filename @property def subworkflows(self): return self._subworkflows.values() @property def rules(self): return self._rules.values() @property def cores(self): if self._cores is None: raise WorkflowError( "Workflow requires a total number of cores to be defined (e.g. because a " "rule defines its number of threads as a fraction of a total number of cores). " "Please set it with --cores N with N being the desired number of cores. " "Consider to use this in combination with --max-threads to avoid " "jobs with too many threads for your setup. Also make sure to perform " "a dryrun first." ) return self._cores @property def _cores(self): return self.global_resources["_cores"] @property def nodes(self): return self.global_resources["_nodes"] @property def concrete_files(self): return ( file for rule in self.rules for file in chain(rule.input, rule.output) if not callable(file) and not file.contains_wildcard() ) def check(self): for clause in self._ruleorder: for rulename in clause: if not self.is_rule(rulename): raise UnknownRuleException( rulename, prefix="Error in ruleorder definition." ) def add_rule( self, name=None, lineno=None, snakefile=None, checkpoint=False, allow_overwrite=False, ): """ Add a rule. """ is_overwrite = self.is_rule(name) if not allow_overwrite and is_overwrite: raise CreateRuleException( "The name {} is already used by another rule".format(name) ) rule = Rule(name, self, lineno=lineno, snakefile=snakefile) self._rules[rule.name] = rule if not is_overwrite: self.rule_count += 1 if not self.default_target: self.default_target = rule.name return name def is_rule(self, name): """ Return True if name is the name of a rule. Arguments name -- a name """ return name in self._rules def get_rule(self, name): """ Get rule by name. Arguments name -- the name of the rule """ if not self._rules: raise NoRulesException() if not name in self._rules: raise UnknownRuleException(name) return self._rules[name] def list_rules(self, only_targets=False): rules = self.rules if only_targets: rules = filterfalse(Rule.has_wildcards, rules) for rule in rules: logger.rule_info(name=rule.name, docstring=rule.docstring) def list_resources(self): for resource in set( resource for rule in self.rules for resource in rule.resources ): if resource not in "_cores _nodes".split(): logger.info(resource) def is_local(self, rule): return rule.group is None and (rule.name in self._localrules or rule.norun) def check_localrules(self): undefined = self._localrules - set(rule.name for rule in self.rules) if undefined: logger.warning( "localrules directive specifies rules that are not " "present in the Snakefile:\n{}\n".format( "\n".join(map("\t{}".format, undefined)) ) ) def inputfile(self, path): """Mark file as being an input file of the workflow. This also means that eventual --default-remote-provider/prefix settings will be applied to this file. The file is returned as _IOFile object, such that it can e.g. be transparently opened with _IOFile.open(). """ if isinstance(path, Path): path = str(path) if self.default_remote_provider is not None: path = self.modifier.modify_path(path) return IOFile(path) def execute( self, targets=None, dryrun=False, generate_unit_tests=None, touch=False, scheduler_type=None, scheduler_ilp_solver=None, local_cores=1, forcetargets=False, forceall=False, forcerun=None, until=[], omit_from=[], prioritytargets=None, quiet=False, keepgoing=False, printshellcmds=False, printreason=False, printdag=False, cluster=None, cluster_sync=None, jobname=None, immediate_submit=False, ignore_ambiguity=False, printrulegraph=False, printfilegraph=False, printd3dag=False, drmaa=None, drmaa_log_dir=None, kubernetes=None, tibanna=None, tibanna_sfn=None, google_lifesciences=None, google_lifesciences_regions=None, google_lifesciences_location=None, google_lifesciences_cache=False, tes=None, precommand="", preemption_default=None, preemptible_rules=None, tibanna_config=False, container_image=None, stats=None, force_incomplete=False, ignore_incomplete=False, list_version_changes=False, list_code_changes=False, list_input_changes=False, list_params_changes=False, list_untracked=False, list_conda_envs=False, summary=False, archive=None, delete_all_output=False, delete_temp_output=False, detailed_summary=False, latency_wait=3, wait_for_files=None, nolock=False, unlock=False, notemp=False, nodeps=False, cleanup_metadata=None, conda_cleanup_envs=False, cleanup_shadow=False, cleanup_scripts=True, subsnakemake=None, updated_files=None, keep_target_files=False, keep_shadow=False, keep_remote_local=False, allowed_rules=None, max_jobs_per_second=None, max_status_checks_per_second=None, greediness=1.0, no_hooks=False, force_use_threads=False, conda_create_envs_only=False, assume_shared_fs=True, cluster_status=None, report=None, report_stylesheet=None, export_cwl=False, batch=None, keepincomplete=False, keepmetadata=True, ): self.check_localrules() self.immediate_submit = immediate_submit self.cleanup_scripts = cleanup_scripts def rules(items): return map(self._rules.__getitem__, filter(self.is_rule, items)) if keep_target_files: def files(items): return filterfalse(self.is_rule, items) else: def files(items): relpath = ( lambda f: f if os.path.isabs(f) or f.startswith("root://") else os.path.relpath(f) ) return map(relpath, filterfalse(self.is_rule, items)) if not targets: targets = ( [self.default_target] if self.default_target is not None else list() ) if prioritytargets is None: prioritytargets = list() if forcerun is None: forcerun = list() if until is None: until = list() if omit_from is None: omit_from = list() priorityrules = set(rules(prioritytargets)) priorityfiles = set(files(prioritytargets)) forcerules = set(rules(forcerun)) forcefiles = set(files(forcerun)) untilrules = set(rules(until)) untilfiles = set(files(until)) omitrules = set(rules(omit_from)) omitfiles = set(files(omit_from)) targetrules = set( chain( rules(targets), filterfalse(Rule.has_wildcards, priorityrules), filterfalse(Rule.has_wildcards, forcerules), filterfalse(Rule.has_wildcards, untilrules), ) ) targetfiles = set(chain(files(targets), priorityfiles, forcefiles, untilfiles)) if ON_WINDOWS: targetfiles = set(tf.replace(os.sep, os.altsep) for tf in targetfiles) if forcetargets: forcefiles.update(targetfiles) forcerules.update(targetrules) rules = self.rules if allowed_rules: allowed_rules = set(allowed_rules) rules = [rule for rule in rules if rule.name in allowed_rules] if wait_for_files is not None: try: snakemake.io.wait_for_files(wait_for_files, latency_wait=latency_wait) except IOError as e: logger.error(str(e)) return False dag = DAG( self, rules, dryrun=dryrun, targetfiles=targetfiles, targetrules=targetrules, # when cleaning up conda, we should enforce all possible jobs # since their envs shall not be deleted forceall=forceall or conda_cleanup_envs, forcefiles=forcefiles, forcerules=forcerules, priorityfiles=priorityfiles, priorityrules=priorityrules, untilfiles=untilfiles, untilrules=untilrules, omitfiles=omitfiles, omitrules=omitrules, ignore_ambiguity=ignore_ambiguity, force_incomplete=force_incomplete, ignore_incomplete=ignore_incomplete or printdag or printrulegraph or printfilegraph, notemp=notemp, keep_remote_local=keep_remote_local, batch=batch, ) self.persistence = Persistence( nolock=nolock, dag=dag, conda_prefix=self.conda_prefix, singularity_prefix=self.singularity_prefix, shadow_prefix=self.shadow_prefix, warn_only=dryrun or printrulegraph or printfilegraph or printdag or summary or archive or list_version_changes or list_code_changes or list_input_changes or list_params_changes or list_untracked or delete_all_output or delete_temp_output, ) if self.mode in [Mode.subprocess, Mode.cluster]: self.persistence.deactivate_cache() if cleanup_metadata: for f in cleanup_metadata: self.persistence.cleanup_metadata(f) return True if unlock: try: self.persistence.cleanup_locks() logger.info("Unlocking working directory.") return True except IOError: logger.error( "Error: Unlocking the directory {} failed. Maybe " "you don't have the permissions?" ) return False logger.info("Building DAG of jobs...") dag.init() dag.update_checkpoint_dependencies() dag.check_dynamic() try: self.persistence.lock() except IOError: logger.error( "Error: Directory cannot be locked. Please make " "sure that no other Snakemake process is trying to create " "the same files in the following directory:\n{}\n" "If you are sure that no other " "instances of snakemake are running on this directory, " "the remaining lock was likely caused by a kill signal or " "a power loss. It can be removed with " "the --unlock argument.".format(os.getcwd()) ) return False if cleanup_shadow: self.persistence.cleanup_shadow() return True if ( self.subworkflows and self.execute_subworkflows and not printdag and not printrulegraph and not printfilegraph ): # backup globals globals_backup = dict(self.globals) # execute subworkflows for subworkflow in self.subworkflows: subworkflow_targets = subworkflow.targets(dag) logger.debug( "Files requested from subworkflow:\n {}".format( "\n ".join(subworkflow_targets) ) ) updated = list() if subworkflow_targets: logger.info("Executing subworkflow {}.".format(subworkflow.name)) if not subsnakemake( subworkflow.snakefile, workdir=subworkflow.workdir, targets=subworkflow_targets, cores=self._cores, nodes=self.nodes, configfiles=[subworkflow.configfile] if subworkflow.configfile else None, updated_files=updated, ): return False dag.updated_subworkflow_files.update( subworkflow.target(f) for f in updated ) else: logger.info( "Subworkflow {}: {}".format( subworkflow.name, NOTHING_TO_BE_DONE_MSG ) ) if self.subworkflows: logger.info("Executing main workflow.") # rescue globals self.globals.update(globals_backup) dag.postprocess(update_needrun=False) if not dryrun: # deactivate IOCache such that from now on we always get updated # size, existence and mtime information # ATTENTION: this may never be removed without really good reason. # Otherwise weird things may happen. self.iocache.deactivate() # clear and deactivate persistence cache, from now on we want to see updates self.persistence.deactivate_cache() if nodeps: missing_input = [ f for job in dag.targetjobs for f in job.input if dag.needrun(job) and not os.path.exists(f) ] if missing_input: logger.error( "Dependency resolution disabled (--nodeps) " "but missing input " "files detected. If this happens on a cluster, please make sure " "that you handle the dependencies yourself or turn off " "--immediate-submit. Missing input files:\n{}".format( "\n".join(missing_input) ) ) return False updated_files.extend(f for job in dag.needrun_jobs for f in job.output) if generate_unit_tests: from snakemake import unit_tests path = generate_unit_tests deploy = [] if self.use_conda: deploy.append("conda") if self.use_singularity: deploy.append("singularity") unit_tests.generate( dag, path, deploy, configfiles=self.overwrite_configfiles ) return True elif export_cwl: from snakemake.cwl import dag_to_cwl import json with open(export_cwl, "w") as cwl: json.dump(dag_to_cwl(dag), cwl, indent=4) return True elif report: from snakemake.report import auto_report auto_report(dag, report, stylesheet=report_stylesheet) return True elif printd3dag: dag.d3dag() return True elif printdag: print(dag) return True elif printrulegraph: print(dag.rule_dot()) return True elif printfilegraph: print(dag.filegraph_dot()) return True elif summary: print("\n".join(dag.summary(detailed=False))) return True elif detailed_summary: print("\n".join(dag.summary(detailed=True))) return True elif archive: dag.archive(archive) return True elif delete_all_output: dag.clean(only_temp=False, dryrun=dryrun) return True elif delete_temp_output: dag.clean(only_temp=True, dryrun=dryrun) return True elif list_version_changes: items = list(chain(*map(self.persistence.version_changed, dag.jobs))) if items: print(*items, sep="\n") return True elif list_code_changes: items = list(chain(*map(self.persistence.code_changed, dag.jobs))) for j in dag.jobs: items.extend(list(j.outputs_older_than_script_or_notebook())) if items: print(*items, sep="\n") return True elif list_input_changes: items = list(chain(*map(self.persistence.input_changed, dag.jobs))) if items: print(*items, sep="\n") return True elif list_params_changes: items = list(chain(*map(self.persistence.params_changed, dag.jobs))) if items: print(*items, sep="\n") return True elif list_untracked: dag.list_untracked() return True if self.use_singularity: if assume_shared_fs: dag.pull_container_imgs( dryrun=dryrun or list_conda_envs, quiet=list_conda_envs ) if self.use_conda: if assume_shared_fs: dag.create_conda_envs( dryrun=dryrun or list_conda_envs or conda_cleanup_envs, quiet=list_conda_envs, ) if conda_create_envs_only: return True if list_conda_envs: print("environment", "container", "location", sep="\t") for env in set(job.conda_env for job in dag.jobs): if env and not env.is_named: print( env.file.simplify_path(), env.container_img_url or "", simplify_path(env.address), sep="\t", ) return True if conda_cleanup_envs: self.persistence.conda_cleanup_envs() return True self.scheduler = JobScheduler( self, dag, local_cores=local_cores, dryrun=dryrun, touch=touch, cluster=cluster, cluster_status=cluster_status, cluster_config=cluster_config, cluster_sync=cluster_sync, jobname=jobname, max_jobs_per_second=max_jobs_per_second, max_status_checks_per_second=max_status_checks_per_second, quiet=quiet, keepgoing=keepgoing, drmaa=drmaa, drmaa_log_dir=drmaa_log_dir, kubernetes=kubernetes, tibanna=tibanna, tibanna_sfn=tibanna_sfn, google_lifesciences=google_lifesciences, google_lifesciences_regions=google_lifesciences_regions, google_lifesciences_location=google_lifesciences_location, google_lifesciences_cache=google_lifesciences_cache, tes=tes, preemption_default=preemption_default, preemptible_rules=preemptible_rules, precommand=precommand, tibanna_config=tibanna_config, container_image=container_image, printreason=printreason, printshellcmds=printshellcmds, latency_wait=latency_wait, greediness=greediness, force_use_threads=force_use_threads, assume_shared_fs=assume_shared_fs, keepincomplete=keepincomplete, keepmetadata=keepmetadata, scheduler_type=scheduler_type, scheduler_ilp_solver=scheduler_ilp_solver, ) if not dryrun: if len(dag): shell_exec = shell.get_executable() if shell_exec is not None: logger.info("Using shell: {}".format(shell_exec)) if cluster or cluster_sync or drmaa: logger.resources_info( "Provided cluster nodes: {}".format(self.nodes) ) elif kubernetes or tibanna or google_lifesciences: logger.resources_info("Provided cloud nodes: {}".format(self.nodes)) else: if self._cores is not None: warning = ( "" if self._cores > 1 else " (use --cores to define parallelism)" ) logger.resources_info( "Provided cores: {}{}".format(self._cores, warning) ) logger.resources_info( "Rules claiming more threads " "will be scaled down." ) provided_resources = format_resources(self.global_resources) if provided_resources: logger.resources_info("Provided resources: " + provided_resources) if self.run_local and any(rule.group for rule in self.rules): logger.info("Group jobs: inactive (local execution)") if not self.use_conda and any(rule.conda_env for rule in self.rules): logger.info("Conda environments: ignored") if not self.use_singularity and any( rule.container_img for rule in self.rules ): logger.info("Singularity containers: ignored") if self.mode == Mode.default: logger.run_info("\n".join(dag.stats())) else: logger.info(NOTHING_TO_BE_DONE_MSG) else: # the dryrun case if len(dag): logger.run_info("\n".join(dag.stats())) else: logger.info(NOTHING_TO_BE_DONE_MSG) return True if quiet: # in case of dryrun and quiet, just print above info and exit return True if not dryrun and not no_hooks: self._onstart(logger.get_logfile()) success = self.scheduler.schedule() if not immediate_submit and not dryrun: dag.cleanup_workdir() if success: if dryrun: if len(dag): logger.run_info("\n".join(dag.stats())) logger.info( "This was a dry-run (flag -n). The order of jobs " "does not reflect the order of execution." ) logger.remove_logfile() else: if stats: self.scheduler.stats.to_json(stats) logger.logfile_hint() if not dryrun and not no_hooks: self._onsuccess(logger.get_logfile()) return True else: if not dryrun and not no_hooks: self._onerror(logger.get_logfile()) logger.logfile_hint() return False @property def current_basedir(self): """Basedir of currently parsed Snakefile.""" assert self.included_stack snakefile = self.included_stack[-1] basedir = snakefile.get_basedir() if isinstance(basedir, LocalSourceFile): return basedir.abspath() else: return basedir def source_path(self, rel_path): """Return path to source file from work dir derived from given path relative to snakefile""" # TODO download to disk (use source cache) in case of remote file import inspect frame = inspect.currentframe().f_back calling_file = frame.f_code.co_filename calling_dir = os.path.dirname(calling_file) path = smart_join(calling_dir, rel_path) return self.sourcecache.get_path(infer_source_file(path)) @property def snakefile(self): import inspect frame = inspect.currentframe().f_back return frame.f_code.co_filename def register_envvars(self, *envvars): """ Register environment variables that shall be passed to jobs. If used multiple times, union is taken. """ undefined = set(var for var in envvars if var not in os.environ) if self.check_envvars and undefined: raise WorkflowError( "The following environment variables are requested by the workflow but undefined. " "Please make sure that they are correctly defined before running Snakemake:\n" "{}".format("\n".join(undefined)) ) self.envvars.update(envvars) def containerize(self): from snakemake.deployment.containerize import containerize containerize(self) def include( self, snakefile, overwrite_default_target=False, print_compilation=False, overwrite_shellcmd=None, ): """ Include a snakefile. """ basedir = self.current_basedir if self.included_stack else None snakefile = infer_source_file(snakefile, basedir) if not self.modifier.allow_rule_overwrite and snakefile in self.included: logger.info("Multiple includes of {} ignored".format(snakefile)) return self.included.append(snakefile) self.included_stack.append(snakefile) default_target = self.default_target code, linemap, rulecount = parse( snakefile, self, overwrite_shellcmd=self.overwrite_shellcmd, rulecount=self._rulecount, ) self._rulecount = rulecount if print_compilation: print(code) if isinstance(snakefile, LocalSourceFile): # insert the current directory into sys.path # this allows to import modules from the workflow directory sys.path.insert(0, snakefile.get_basedir().get_path_or_uri()) self.linemaps[snakefile.get_path_or_uri()] = linemap exec(compile(code, snakefile.get_path_or_uri(), "exec"), self.globals) if not overwrite_default_target: self.default_target = default_target self.included_stack.pop() def onstart(self, func): """Register onstart function.""" self._onstart = func def onsuccess(self, func): """Register onsuccess function.""" self._onsuccess = func def onerror(self, func): """Register onerror function.""" self._onerror = func def global_wildcard_constraints(self, **content): """Register global wildcard constraints.""" self._wildcard_constraints.update(content) # update all rules so far for rule in self.rules: rule.update_wildcard_constraints() def scattergather(self, **content): """Register scattergather defaults.""" self._scatter.update(content) self._scatter.update(self.overwrite_scatter) # add corresponding wildcard constraint self.global_wildcard_constraints(scatteritem="\d+-of-\d+") def func(*args, **wildcards): n = self._scatter[key] return expand( *args, scatteritem=map("{{}}-of-{}".format(n).format, range(1, n + 1)), **wildcards ) for key in content: setattr(self.globals["scatter"], key, func) setattr(self.globals["gather"], key, func) def workdir(self, workdir): """Register workdir.""" if self.overwrite_workdir is None: os.makedirs(workdir, exist_ok=True) self._workdir = workdir os.chdir(workdir) def configfile(self, fp): """Update the global config with data from the given file.""" global config if not self.modifier.skip_configfile: if os.path.exists(fp): self.configfiles.append(fp) c = snakemake.io.load_configfile(fp) update_config(config, c) if self.overwrite_config: logger.info( "Config file {} is extended by additional config specified via the command line.".format( fp ) ) update_config(config, self.overwrite_config) elif not self.overwrite_configfiles: raise WorkflowError( "Workflow defines configfile {} but it is not present or accessible.".format( fp ) ) def pepfile(self, path): global pep try: import peppy except ImportError: raise WorkflowError("For PEP support, please install peppy.") self.pepfile = path pep = peppy.Project(self.pepfile) def pepschema(self, schema): global pep try: import eido except ImportError: raise WorkflowError("For PEP schema support, please install eido.") if is_local_file(schema) and not os.path.isabs(schema): # schema is relative to current Snakefile schema = self.current_basedir.join(schema).get_path_or_uri() if self.pepfile is None: raise WorkflowError("Please specify a PEP with the pepfile directive.") eido.validate_project(project=pep, schema=schema, exclude_case=True) def report(self, path): """Define a global report description in .rst format.""" self.report_text = self.current_basedir.join(path) @property def config(self): return self.globals["config"] def ruleorder(self, *rulenames): self._ruleorder.add(*map(self.modifier.modify_rulename, rulenames)) def subworkflow(self, name, snakefile=None, workdir=None, configfile=None): # Take absolute path of config file, because it is relative to current # workdir, which could be changed for the subworkflow. if configfile: configfile = os.path.abspath(configfile) sw = Subworkflow(self, name, snakefile, workdir, configfile) self._subworkflows[name] = sw self.globals[name] = sw.target def localrules(self, *rulenames): self._localrules.update(rulenames) def rule(self, name=None, lineno=None, snakefile=None, checkpoint=False): # choose a name for an unnamed rule if name is None: name = str(len(self._rules) + 1) if self.modifier.skip_rule(name): def decorate(ruleinfo): # do nothing, ignore rule return ruleinfo.func return decorate # Optionally let the modifier change the rulename. orig_name = name name = self.modifier.modify_rulename(name) name = self.add_rule( name, lineno, snakefile, checkpoint, allow_overwrite=self.modifier.allow_rule_overwrite, ) rule = self.get_rule(name) rule.is_checkpoint = checkpoint def decorate(ruleinfo): nonlocal name # If requested, modify ruleinfo via the modifier. ruleinfo.apply_modifier(self.modifier) if ruleinfo.wildcard_constraints: rule.set_wildcard_constraints( *ruleinfo.wildcard_constraints[0], **ruleinfo.wildcard_constraints[1] ) if ruleinfo.name: rule.name = ruleinfo.name del self._rules[name] self._rules[ruleinfo.name] = rule name = rule.name rule.path_modifier = ruleinfo.path_modifier if ruleinfo.input: rule.set_input(*ruleinfo.input[0], **ruleinfo.input[1]) if ruleinfo.output: rule.set_output(*ruleinfo.output[0], **ruleinfo.output[1]) if ruleinfo.params: rule.set_params(*ruleinfo.params[0], **ruleinfo.params[1]) # handle default resources if self.default_resources is not None: rule.resources = copy.deepcopy(self.default_resources.parsed) if ruleinfo.threads is not None: if ( not isinstance(ruleinfo.threads, int) and not isinstance(ruleinfo.threads, float) and not callable(ruleinfo.threads) ): raise RuleException( "Threads value has to be an integer, float, or a callable.", rule=rule, ) if name in self.overwrite_threads: rule.resources["_cores"] = self.overwrite_threads[name] else: if isinstance(ruleinfo.threads, float): ruleinfo.threads = int(ruleinfo.threads) rule.resources["_cores"] = ruleinfo.threads if ruleinfo.shadow_depth: if ruleinfo.shadow_depth not in ( True, "shallow", "full", "minimal", "copy-minimal", ): raise RuleException( "Shadow must either be 'minimal', 'copy-minimal', 'shallow', 'full', " "or True (equivalent to 'full')", rule=rule, ) if ruleinfo.shadow_depth is True: rule.shadow_depth = "full" logger.warning( "Shadow is set to True in rule {} (equivalent to 'full'). It's encouraged to use the more explicit options 'minimal|copy-minimal|shallow|full' instead.".format( rule ) ) else: rule.shadow_depth = ruleinfo.shadow_depth if ruleinfo.resources: args, resources = ruleinfo.resources if args: raise RuleException("Resources have to be named.") if not all( map( lambda r: isinstance(r, int) or isinstance(r, str) or callable(r), resources.values(), ) ): raise RuleException( "Resources values have to be integers, strings, or callables (functions)", rule=rule, ) rule.resources.update(resources) if name in self.overwrite_resources: rule.resources.update(self.overwrite_resources[name]) if ruleinfo.priority: if not isinstance(ruleinfo.priority, int) and not isinstance( ruleinfo.priority, float ): raise RuleException( "Priority values have to be numeric.", rule=rule ) rule.priority = ruleinfo.priority if ruleinfo.version: rule.version = ruleinfo.version if ruleinfo.log: rule.set_log(*ruleinfo.log[0], **ruleinfo.log[1]) if ruleinfo.message: rule.message = ruleinfo.message if ruleinfo.benchmark: rule.benchmark = ruleinfo.benchmark if not self.run_local: group = self.overwrite_groups.get(name) or ruleinfo.group if group is not None: rule.group = group if ruleinfo.wrapper: rule.conda_env = snakemake.wrapper.get_conda_env( ruleinfo.wrapper, prefix=self.wrapper_prefix ) # TODO retrieve suitable singularity image if ruleinfo.env_modules: # If using environment modules and they are defined for the rule, # ignore conda and singularity directive below. # The reason is that this is likely intended in order to use # a software stack specifically compiled for a particular # HPC cluster. invalid_rule = not ( ruleinfo.script or ruleinfo.wrapper or ruleinfo.shellcmd or ruleinfo.notebook ) if invalid_rule: raise RuleException( "envmodules directive is only allowed with " "shell, script, notebook, or wrapper directives (not with run)", rule=rule, ) from snakemake.deployment.env_modules import EnvModules rule.env_modules = EnvModules(*ruleinfo.env_modules) if ruleinfo.conda_env: if not ( ruleinfo.script or ruleinfo.wrapper or ruleinfo.shellcmd or ruleinfo.notebook ): raise RuleException( "Conda environments are only allowed " "with shell, script, notebook, or wrapper directives " "(not with run).", rule=rule, ) if ( ruleinfo.conda_env is not None and is_conda_env_file(ruleinfo.conda_env) and is_local_file(ruleinfo.conda_env) and not os.path.isabs(ruleinfo.conda_env) ): ruleinfo.conda_env = self.current_basedir.join( ruleinfo.conda_env ).get_path_or_uri() rule.conda_env = ruleinfo.conda_env invalid_rule = not ( ruleinfo.script or ruleinfo.wrapper or ruleinfo.shellcmd or ruleinfo.notebook ) if ruleinfo.container_img: if invalid_rule: raise RuleException( "Singularity directive is only allowed " "with shell, script, notebook or wrapper directives " "(not with run).", rule=rule, ) rule.container_img = ruleinfo.container_img rule.is_containerized = ruleinfo.is_containerized elif self.global_container_img: if not invalid_rule and ruleinfo.container_img != False: # skip rules with run directive or empty image rule.container_img = self.global_container_img rule.is_containerized = self.global_is_containerized rule.norun = ruleinfo.norun if ruleinfo.name is not None: rule.name = ruleinfo.name rule.docstring = ruleinfo.docstring rule.run_func = ruleinfo.func rule.shellcmd = ruleinfo.shellcmd rule.script = ruleinfo.script rule.notebook = ruleinfo.notebook rule.wrapper = ruleinfo.wrapper rule.cwl = ruleinfo.cwl rule.restart_times = self.restart_times rule.basedir = self.current_basedir if ruleinfo.handover: if not ruleinfo.resources: # give all available resources to the rule rule.resources.update( { name: val for name, val in self.global_resources.items() if val is not None } ) # This becomes a local rule, which might spawn jobs to a cluster, # depending on its configuration (e.g. nextflow config). self._localrules.add(rule.name) rule.is_handover = True if ruleinfo.cache is True: if len(rule.output) > 1: if not rule.output[0].is_multiext: raise WorkflowError( "Rule is marked for between workflow caching but has multiple output files. " "This is only allowed if multiext() is used to declare them (see docs on between " "workflow caching).", rule=rule, ) if not self.enable_cache: logger.warning( "Workflow defines that rule {} is eligible for caching between workflows " "(use the --cache argument to enable this).".format(rule.name) ) else: self.cache_rules.add(rule.name) elif not (ruleinfo.cache is False): raise WorkflowError( "Invalid argument for 'cache:' directive. Only True allowed. " "To deactivate caching, remove directive.", rule=rule, ) if ruleinfo.default_target is True: self.default_target = rule.name elif not (ruleinfo.default_target is False): raise WorkflowError( "Invalid argument for 'default_target:' directive. Only True allowed. " "Do not use the directive for rules that shall not be the default target. ", rule=rule, ) ruleinfo.func.__name__ = "__{}".format(rule.name) self.globals[ruleinfo.func.__name__] = ruleinfo.func rule_proxy = RuleProxy(rule) if orig_name is not None: setattr(self.globals["rules"], orig_name, rule_proxy) setattr(self.globals["rules"], rule.name, rule_proxy) if checkpoint: self.globals["checkpoints"].register(rule, fallback_name=orig_name) rule.ruleinfo = ruleinfo return ruleinfo.func return decorate def docstring(self, string): def decorate(ruleinfo): ruleinfo.docstring = string return ruleinfo return decorate def input(self, *paths, **kwpaths): def decorate(ruleinfo): ruleinfo.input = (paths, kwpaths) return ruleinfo return decorate def output(self, *paths, **kwpaths): def decorate(ruleinfo): ruleinfo.output = (paths, kwpaths) return ruleinfo return decorate def params(self, *params, **kwparams): def decorate(ruleinfo): ruleinfo.params = (params, kwparams) return ruleinfo return decorate def wildcard_constraints(self, *wildcard_constraints, **kwwildcard_constraints): def decorate(ruleinfo): ruleinfo.wildcard_constraints = ( wildcard_constraints, kwwildcard_constraints, ) return ruleinfo return decorate def cache_rule(self, cache): def decorate(ruleinfo): ruleinfo.cache = cache return ruleinfo return decorate def default_target_rule(self, value): def decorate(ruleinfo): ruleinfo.default_target = value return ruleinfo return decorate def message(self, message): def decorate(ruleinfo): ruleinfo.message = message return ruleinfo return decorate def benchmark(self, benchmark): def decorate(ruleinfo): ruleinfo.benchmark = benchmark return ruleinfo return decorate def conda(self, conda_env): def decorate(ruleinfo): ruleinfo.conda_env = conda_env return ruleinfo return decorate def container(self, container_img): def decorate(ruleinfo): # Explicitly set container_img to False if None is passed, indicating that # no container image shall be used, also not a global one. ruleinfo.container_img = ( container_img if container_img is not None else False ) ruleinfo.is_containerized = False return ruleinfo return decorate def containerized(self, container_img): def decorate(ruleinfo): ruleinfo.container_img = container_img ruleinfo.is_containerized = True return ruleinfo return decorate def envmodules(self, *env_modules): def decorate(ruleinfo): ruleinfo.env_modules = env_modules return ruleinfo return decorate def global_container(self, container_img): self.global_container_img = container_img self.global_is_containerized = False def global_containerized(self, container_img): self.global_container_img = container_img self.global_is_containerized = True def threads(self, threads): def decorate(ruleinfo): ruleinfo.threads = threads return ruleinfo return decorate def shadow(self, shadow_depth): def decorate(ruleinfo): ruleinfo.shadow_depth = shadow_depth return ruleinfo return decorate def resources(self, *args, **resources): def decorate(ruleinfo): ruleinfo.resources = (args, resources) return ruleinfo return decorate def priority(self, priority): def decorate(ruleinfo): ruleinfo.priority = priority return ruleinfo return decorate def version(self, version): def decorate(ruleinfo): ruleinfo.version = version return ruleinfo return decorate def group(self, group): def decorate(ruleinfo): ruleinfo.group = group return ruleinfo return decorate def log(self, *logs, **kwlogs): def decorate(ruleinfo): ruleinfo.log = (logs, kwlogs) return ruleinfo return decorate def handover(self, value): def decorate(ruleinfo): ruleinfo.handover = value return ruleinfo return decorate def shellcmd(self, cmd): def decorate(ruleinfo): ruleinfo.shellcmd = cmd return ruleinfo return decorate def script(self, script): def decorate(ruleinfo): ruleinfo.script = script return ruleinfo return decorate def notebook(self, notebook): def decorate(ruleinfo): ruleinfo.notebook = notebook return ruleinfo return decorate def wrapper(self, wrapper): def decorate(ruleinfo): ruleinfo.wrapper = wrapper return ruleinfo return decorate def cwl(self, cwl): def decorate(ruleinfo): ruleinfo.cwl = cwl return ruleinfo return decorate def norun(self): def decorate(ruleinfo): ruleinfo.norun = True return ruleinfo return decorate def name(self, name): def decorate(ruleinfo): ruleinfo.name = name return ruleinfo return decorate def run(self, func): return RuleInfo(func) def module( self, name, snakefile=None, meta_wrapper=None, config=None, skip_validation=False, replace_prefix=None, prefix=None, ): self.modules[name] = ModuleInfo( self, name, snakefile=snakefile, meta_wrapper=meta_wrapper, config=config, skip_validation=skip_validation, replace_prefix=replace_prefix, prefix=prefix, ) def userule(self, rules=None, from_module=None, name_modifier=None, lineno=None): def decorate(maybe_ruleinfo): if from_module is not None: try: module = self.modules[from_module] except KeyError: raise WorkflowError( "Module {} has not been registered with 'module' statement before using it in 'use rule' statement.".format( from_module ) ) module.use_rules( rules, name_modifier, ruleinfo=None if callable(maybe_ruleinfo) else maybe_ruleinfo, ) else: # local inheritance if len(rules) > 1: raise WorkflowError( "'use rule' statement from rule in the same module must declare a single rule but multiple rules are declared." ) orig_rule = self._rules[self.modifier.modify_rulename(rules[0])] ruleinfo = maybe_ruleinfo if not callable(maybe_ruleinfo) else None with WorkflowModifier( self, rulename_modifier=get_name_modifier_func( rules, name_modifier, parent_modifier=self.modifier ), ruleinfo_overwrite=ruleinfo, ): self.rule( name=name_modifier, lineno=lineno, snakefile=self.included_stack[-1], )(orig_rule.ruleinfo) return decorate @staticmethod def _empty_decorator(f): return f class Subworkflow: def __init__(self, workflow, name, snakefile, workdir, configfile): self.workflow = workflow self.name = name self._snakefile = snakefile self._workdir = workdir self.configfile = configfile @property def snakefile(self): if self._snakefile is None: return os.path.abspath(os.path.join(self.workdir, "Snakefile")) if not os.path.isabs(self._snakefile): return os.path.abspath(os.path.join(self.workflow.basedir, self._snakefile)) return self._snakefile @property def workdir(self): workdir = "." if self._workdir is None else self._workdir if not os.path.isabs(workdir): return os.path.abspath(os.path.join(self.workflow.basedir, workdir)) return workdir def target(self, paths): if not_iterable(paths): path = paths path = ( path if os.path.isabs(path) or path.startswith("root://") else os.path.join(self.workdir, path) ) return flag(path, "subworkflow", self) return [self.target(path) for path in paths] def targets(self, dag): def relpath(f): if f.startswith(self.workdir): return os.path.relpath(f, start=self.workdir) # do not adjust absolute targets outside of workdir return f return [ relpath(f) for job in dag.jobs for f in job.subworkflow_input if job.subworkflow_input[f] is self ] def srcdir(path): """Return the absolute path, relative to the source directory of the current Snakefile.""" if not workflow.included_stack: return None return workflow.current_basedir.join(path).get_path_or_uri() snakemake-6.15.1/snakemake/wrapper.py000066400000000000000000000061731417574166400175620ustar00rootroot00000000000000__author__ = "Johannes Köster" __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import posixpath from urllib.error import URLError from urllib.request import urlopen from snakemake.exceptions import WorkflowError from snakemake.script import script from snakemake.sourcecache import SourceCache, infer_source_file PREFIX = "https://github.com/snakemake/snakemake-wrappers/raw/" def is_script(path): return ( path.endswith("wrapper.py") or path.endswith("wrapper.R") or path.endswith("wrapper.jl") ) def get_path(path, prefix=None): if not is_url(path): if prefix is None: prefix = PREFIX elif prefix.startswith("git+file"): parts = path.split("/") path = "/" + "/".join(parts[1:]) + "@" + parts[0] path = prefix + path return path def is_url(path): return ( path.startswith("http") or path.startswith("file:") or path.startswith("git+file") ) def is_local(path): return path.startswith("file:") def is_git_path(path): return path.startswith("git+file:") def find_extension( path, sourcecache: SourceCache, extensions=[".py", ".R", ".Rmd", ".jl"] ): for ext in extensions: if path.endswith("wrapper{}".format(ext)): return path path = infer_source_file(path) for ext in extensions: script = path.join("wrapper{}".format(ext)) if sourcecache.exists(script): return script def get_script(path, sourcecache: SourceCache, prefix=None): path = get_path(path, prefix=prefix) return find_extension(path, sourcecache) def get_conda_env(path, prefix=None): path = get_path(path, prefix=prefix) if is_script(path): # URLs and posixpaths share the same separator. Hence use posixpath here. path = posixpath.dirname(path) if is_git_path(path): path, version = path.split("@") return os.path.join(path, "environment.yaml") + "@" + version return path + "/environment.yaml" def wrapper( path, input, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, prefix, jobid, bench_iteration, cleanup_scripts, shadow_dir, runtime_sourcecache_path, ): """ Load a wrapper from https://github.com/snakemake/snakemake-wrappers under the given path + wrapper.(py|R|Rmd) and execute it. """ path = get_script( path, SourceCache(runtime_cache_path=runtime_sourcecache_path), prefix=prefix ) script( path, "", input, output, params, wildcards, threads, resources, log, config, rulename, conda_env, conda_base_path, container_img, singularity_args, env_modules, bench_record, jobid, bench_iteration, cleanup_scripts, shadow_dir, runtime_sourcecache_path, ) snakemake-6.15.1/test-environment.yml000066400000000000000000000023251417574166400176300ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - python >=3.5.3 - stopit - datrie - boto3 - moto - junit-xml # needed for S3Mocked - httpretty - wrapt - pyyaml - pytest ==6.1.2 - pytest-cov - ftputil - pysftp - requests - responses <0.12.1 # responses 0.12.1 delivers a "TypeError: cannot unpack non-iterable CallbackResponse object" - dropbox - numpy - appdirs - pytools - docutils - pygments - pandoc <2.0 # pandoc has changed the CLI API so that it is no longer compatible with the version of r-markdown below - xorg-libxrender - xorg-libxext - xorg-libxau - xorg-libxdmcp - xorg-libsm - psutil - google-cloud-storage - google-api-python-client - oauth2client - azure-storage-blob - ratelimiter - configargparse - appdirs - python-irodsclient - cwltool <=3.0.20201203173111 # TODO remove once schema-salad has been updated in conda-forge - jsonschema - pandas - networkx - pygraphviz - python-kubernetes - gitpython - pulp >=2.0 - tibanna - environment-modules - nbformat - toposort - mamba - crc32c - pip - connection_pool - py-tes - requests-mock - peppy - eido - glpk - smart_open - filelock - tabulate snakemake-6.15.1/tests/000077500000000000000000000000001417574166400147245ustar00rootroot00000000000000snakemake-6.15.1/tests/__init__.py000066400000000000000000000000001417574166400170230ustar00rootroot00000000000000snakemake-6.15.1/tests/common.py000066400000000000000000000165731417574166400166020ustar00rootroot00000000000000__authors__ = ["Tobias Marschall", "Marcel Martin", "Johannes Köster"] __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import sys import shutil from os.path import join import tempfile import hashlib import urllib import pytest import glob import subprocess from snakemake import snakemake from snakemake.shell import shell from snakemake.common import ON_WINDOWS def dpath(path): """get the path to a data file (relative to the directory this test lives in)""" return os.path.realpath(join(os.path.dirname(__file__), path)) def md5sum(filename, ignore_newlines=False): if ignore_newlines: with open(filename, "r", encoding="utf-8", errors="surrogateescape") as f: data = f.read().encode("utf8", errors="surrogateescape") else: data = open(filename, "rb").read() return hashlib.md5(data).hexdigest() # test skipping def is_connected(): try: urllib.request.urlopen("http://www.google.com", timeout=1) return True except urllib.request.URLError: return False def is_ci(): return "CI" in os.environ def has_gcloud_service_key(): return "GCP_AVAILABLE" in os.environ gcloud = pytest.mark.skipif( not is_connected() or not has_gcloud_service_key(), reason="Skipping GCLOUD tests because not on " "CI, no inet connection or not logged " "in to gcloud.", ) connected = pytest.mark.skipif(not is_connected(), reason="no internet connection") ci = pytest.mark.skipif(not is_ci(), reason="not in CI") not_ci = pytest.mark.skipif(is_ci(), reason="skipped in CI") def copy(src, dst): if os.path.isdir(src): shutil.copytree(src, os.path.join(dst, os.path.basename(src))) else: shutil.copy(src, dst) def get_expected_files(results_dir): """Recursively walk through the expected-results directory to enumerate all expected files.""" return [ os.path.relpath(f, results_dir) for f in glob.iglob(os.path.join(results_dir, "**/**"), recursive=True) if not os.path.isdir(f) ] def run( path, shouldfail=False, snakefile="Snakefile", subpath=None, no_tmpdir=False, check_md5=True, check_results=True, cores=3, nodes=1, set_pythonpath=True, cleanup=True, conda_frontend="mamba", config=dict(), targets=None, container_image=os.environ.get("CONTAINER_IMAGE", "snakemake/snakemake:latest"), shellcmd=None, **params, ): """ Test the Snakefile in the path. There must be a Snakefile in the path and a subdirectory named expected-results. If cleanup is False, we return the temporary directory to the calling test for inspection, and the test should clean it up. """ if set_pythonpath: # Enforce current workdir (the snakemake source dir) to also be in PYTHONPATH # when subprocesses are invoked in the tempdir defined below. os.environ["PYTHONPATH"] = os.getcwd() elif "PYTHONPATH" in os.environ: del os.environ["PYTHONPATH"] results_dir = join(path, "expected-results") original_snakefile = join(path, snakefile) assert os.path.exists(original_snakefile) assert os.path.exists(results_dir) and os.path.isdir( results_dir ), "{} does not exist".format(results_dir) # If we need to further check results, we won't cleanup tmpdir tmpdir = next(tempfile._get_candidate_names()) tmpdir = os.path.join(tempfile.gettempdir(), "snakemake-%s" % tmpdir) os.mkdir(tmpdir) config = dict(config) # handle subworkflow if subpath is not None: # set up a working directory for the subworkflow and pass it in `config` # for now, only one subworkflow is supported assert os.path.exists(subpath) and os.path.isdir( subpath ), "{} does not exist".format(subpath) subworkdir = os.path.join(tmpdir, "subworkdir") os.mkdir(subworkdir) # copy files for f in os.listdir(subpath): copy(os.path.join(subpath, f), subworkdir) config["subworkdir"] = subworkdir # copy files for f in os.listdir(path): copy(os.path.join(path, f), tmpdir) # Snakefile is now in temporary directory snakefile = join(tmpdir, snakefile) # run snakemake if shellcmd: if not shellcmd.startswith("snakemake"): raise ValueError("shellcmd does not start with snakemake") shellcmd = "{} -m {}".format(sys.executable, shellcmd) try: subprocess.check_output( shellcmd, cwd=path if no_tmpdir else tmpdir, shell=True, ) success = True except subprocess.CalledProcessError as e: success = False print(e.stderr, file=sys.stderr) else: success = snakemake( snakefile=original_snakefile if no_tmpdir else snakefile, cores=cores, nodes=nodes, workdir=path if no_tmpdir else tmpdir, stats="stats.txt", config=config, verbose=True, targets=targets, conda_frontend=conda_frontend, container_image=container_image, **params, ) if shouldfail: assert not success, "expected error on execution" else: assert success, "expected successful execution" if check_results: for resultfile in get_expected_files(results_dir): if resultfile in [".gitignore", ".gitkeep"] or not os.path.isfile( os.path.join(results_dir, resultfile) ): # this means tests cannot use directories as output files continue targetfile = join(tmpdir, resultfile) expectedfile = join(results_dir, resultfile) if ON_WINDOWS: if os.path.exists(join(results_dir, resultfile + "_WIN")): continue # Skip test if a Windows specific file exists if resultfile.endswith("_WIN"): targetfile = join(tmpdir, resultfile[:-4]) elif resultfile.endswith("_WIN"): # Skip win specific result files on Posix platforms continue assert os.path.exists( targetfile ), 'expected file "{}" not produced'.format(resultfile) if check_md5: md5expected = md5sum(expectedfile, ignore_newlines=ON_WINDOWS) md5target = md5sum(targetfile, ignore_newlines=ON_WINDOWS) if md5target != md5expected: with open(expectedfile) as expected: expected_content = expected.read() with open(targetfile) as target: content = target.read() assert ( False ), "wrong result produced for file '{resultfile}':\n------found------\n{content}\n-----expected-----\n{expected_content}\n-----------------".format( resultfile=resultfile, content=content, expected_content=expected_content, ) if not cleanup: return tmpdir shutil.rmtree(tmpdir, ignore_errors=ON_WINDOWS) snakemake-6.15.1/tests/conftest.py000066400000000000000000000017341417574166400171300ustar00rootroot00000000000000import os import sys import pytest from pathlib import Path from snakemake.common import ON_WINDOWS from snakemake.utils import find_bash_on_windows from snakemake import shell skip_on_windows = pytest.mark.skipif(ON_WINDOWS, reason="Unix stuff") only_on_windows = pytest.mark.skipif(not ON_WINDOWS, reason="Windows stuff") needs_strace = pytest.mark.xfail(os.system("strace -o /dev/null true") != 0, reason="Missing strace") @pytest.fixture(autouse=True) def reset_paths_between_tests(): """Ensure that changes to sys.path are reset between tests""" org_path = sys.path.copy() yield sys.path = org_path bash_cmd = find_bash_on_windows() if ON_WINDOWS and bash_cmd: @pytest.fixture(autouse=True) def prepend_usable_bash_to_path(monkeypatch): monkeypatch.setenv("PATH", os.path.dirname(bash_cmd), prepend=os.pathsep) @pytest.fixture(autouse=True) def reset_shell_exec_on_windows(prepend_usable_bash_to_path): shell.executable(None) snakemake-6.15.1/tests/knapsack/000077500000000000000000000000001417574166400165175ustar00rootroot00000000000000snakemake-6.15.1/tests/knapsack/1.txt000066400000000000000000000000001417574166400174060ustar00rootroot00000000000000snakemake-6.15.1/tests/knapsack/2.txt000066400000000000000000000000001417574166400174070ustar00rootroot00000000000000snakemake-6.15.1/tests/knapsack/3.txt000066400000000000000000000000001417574166400174100ustar00rootroot00000000000000snakemake-6.15.1/tests/knapsack/Snakefile000066400000000000000000000007431417574166400203470ustar00rootroot00000000000000# kate: syntax python; DATASETS = '1 2 3'.split() rule mapmature_all: input: '{ds}.bam'.format(ds=ds) for ds in DATASETS rule gzip: output: '{file}.gz' input: '{file}' shell: 'gzip < {input} > {output}' rule cutadapt: output: fastq=temp('{ds}.fastq') input: '{ds}.txt' shell: 'echo hello > {output.fastq}' rule bwa_mature: output: bam='{ds}.bam' input: reads='{ds}.fastq.gz' threads: 4 shell: 'echo starting with {threads} threads; sleep 10; touch {output.bam}' snakemake-6.15.1/tests/linting/000077500000000000000000000000001417574166400163705ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/absolute_paths/000077500000000000000000000000001417574166400214055ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/absolute_paths/negative.smk000066400000000000000000000003151417574166400237220ustar00rootroot00000000000000rule a: input: "/home/johannes/someproject/test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/absolute_paths/positive.smk000066400000000000000000000002621417574166400237630ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/dynamic/000077500000000000000000000000001417574166400200145ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/dynamic/negative.smk000066400000000000000000000002731417574166400223340ustar00rootroot00000000000000rule a: input: "test.in" output: dynamic("test.out") log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/dynamic/positive.smk000066400000000000000000000002621417574166400223720ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/envvars/000077500000000000000000000000001417574166400200545ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/envvars/negative.smk000066400000000000000000000004301417574166400223670ustar00rootroot00000000000000os.environ["THRESHOLD"] = "1.0" rule a: input: "test.in" output: "test.out" params: threshold=os.environ["THRESHOLD"] log: "logs/a.log" conda: "envs/software.yaml" shell: "echo {params.threshold} > {output}"snakemake-6.15.1/tests/linting/envvars/positive.smk000066400000000000000000000004251417574166400224330ustar00rootroot00000000000000os.environ["THRESHOLD"] = "1.0" envvars: "THRESHOLD" rule a: output: "test.out" params: threshold=os.environ["THRESHOLD"] log: "logs/a.log" conda: "envs/software.yaml" shell: "echo {params.threshold} > {output}"snakemake-6.15.1/tests/linting/iofile_by_index/000077500000000000000000000000001417574166400215205ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/iofile_by_index/negative.smk000066400000000000000000000003111417574166400240310ustar00rootroot00000000000000rule a: input: "test.in", "test.aux" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input[0]} {output}"snakemake-6.15.1/tests/linting/iofile_by_index/positive.smk000066400000000000000000000003261417574166400240770ustar00rootroot00000000000000rule a: input: some="test.in", other="test.aux" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input.some} {output}"snakemake-6.15.1/tests/linting/log_directive/000077500000000000000000000000001417574166400212075ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/log_directive/negative.smk000066400000000000000000000002241417574166400235230ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/log_directive/positive.smk000066400000000000000000000002621417574166400235650ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/long_run/000077500000000000000000000000001417574166400202135ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/long_run/negative.smk000066400000000000000000000006101417574166400225260ustar00rootroot00000000000000rule a: input: "test.csv" output: "test.out.csv" log: "logs/a.log" run: # this becomes too much and should be migrated into a script directive import pandas as pd t = pd.read_csv(snakemake.input[0]) t.sort(inplace=True) t.loc["foo"] += 16 t.loc["bar"] /= 237879.4 t.to_csv(snakemake.output[0])snakemake-6.15.1/tests/linting/long_run/positive.smk000066400000000000000000000004471417574166400225760ustar00rootroot00000000000000rule a: input: "test.csv" output: "test.out.csv" log: "logs/a.log" run: # a few lines of code are still ok import pandas as pd t = pd.read_csv(snakemake.input[0]) t.sort(inplace=True) t.to_csv(snakemake.output[0])snakemake-6.15.1/tests/linting/missing_software_definition/000077500000000000000000000000001417574166400241635ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/missing_software_definition/negative.smk000066400000000000000000000002121417574166400264740ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/missing_software_definition/positive.smk000066400000000000000000000005511417574166400265420ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}" rule b: input: "test.in" output: "test2.out" log: "logs/a.log" container: "docker://alpine" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/mixed_func_and_rules/000077500000000000000000000000001417574166400225455ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/mixed_func_and_rules/common.smk000066400000000000000000000000711417574166400245470ustar00rootroot00000000000000def get_dataset(wildcards): return config["datasets"]snakemake-6.15.1/tests/linting/mixed_func_and_rules/negative.smk000066400000000000000000000004031417574166400250600ustar00rootroot00000000000000def get_dataset(wildcards): return config["datasets"] rule a: input: get_dataset output: "test.{dataset}.out" log: "logs/a.{dataset}.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/mixed_func_and_rules/positive.smk000066400000000000000000000003371417574166400251260ustar00rootroot00000000000000include: "common.smk" rule a: input: get_dataset output: "test.{dataset}.out" log: "logs/a.{dataset}.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/not_used_params/000077500000000000000000000000001417574166400215535ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/not_used_params/config.yaml000066400000000000000000000000161417574166400237010ustar00rootroot00000000000000threshold: 1.0snakemake-6.15.1/tests/linting/not_used_params/negative.smk000066400000000000000000000003001417574166400240620ustar00rootroot00000000000000configfile: "config.yaml" rule a: output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "echo {config[threshold]} > {output}"snakemake-6.15.1/tests/linting/not_used_params/positive.smk000066400000000000000000000007631417574166400241370ustar00rootroot00000000000000configfile: "config.yaml" rule a: output: "{sample}.out" params: threshold=config["threshold"] log: "logs/{sample}.log" conda: "envs/software.yaml" shell: "echo {input} {wildcards.sample} {params.threshold} > {output} 2> {log}" rule b: input: "test.in" output: "test.out" log: "logs/test.log" conda: "envs/software.yaml" shell: "awk {{print $1}} <{input} > {output} 2> {log}" snakemake-6.15.1/tests/linting/params_prefix/000077500000000000000000000000001417574166400212305ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/params_prefix/negative.smk000066400000000000000000000003321417574166400235440ustar00rootroot00000000000000rule a: input: "path/test.txt" output: "test.txt" params: prefix="path" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/params_prefix/positive.smk000066400000000000000000000003761417574166400236140ustar00rootroot00000000000000rule a: input: "path/test.txt" output: "test.txt" params: prefix=lambda w, input: os.path.dirname(input[0]) log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/path_add/000077500000000000000000000000001417574166400201345ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/path_add/negative.smk000066400000000000000000000003271417574166400224540ustar00rootroot00000000000000TABLES = "results/tables/" rule a: input: "test.in" output: TABLES + "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/path_add/positive.smk000066400000000000000000000003011417574166400225040ustar00rootroot00000000000000rule a: input: "test.in" output: "results/tables/test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/singularity/000077500000000000000000000000001417574166400207425ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/singularity/negative.smk000066400000000000000000000002631417574166400232610ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" singularity: "docker://bash" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/singularity/positive.smk000066400000000000000000000002611417574166400233170ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" container: "docker://bash" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/tab_usage/000077500000000000000000000000001417574166400203225ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/tab_usage/negative.smk000066400000000000000000000002521417574166400226370ustar00rootroot00000000000000rule a: input: "test.txt" log: "logs/a.log" conda: "envs/a.yaml" output: "test.out" shell: "cat {input} > {output}" snakemake-6.15.1/tests/linting/tab_usage/positive.smk000066400000000000000000000002601417574166400226760ustar00rootroot00000000000000rule a: input: "test.txt" output: "test.out" log: "logs/a.log" conda: "envs/a.yaml" shell: "cat {input} > {output}" snakemake-6.15.1/tests/linting/version/000077500000000000000000000000001417574166400200555ustar00rootroot00000000000000snakemake-6.15.1/tests/linting/version/negative.smk000066400000000000000000000003051417574166400223710ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" version: "1.0" shell: "cp {input} {output}"snakemake-6.15.1/tests/linting/version/positive.smk000066400000000000000000000002621417574166400224330ustar00rootroot00000000000000rule a: input: "test.in" output: "test.out" log: "logs/a.log" conda: "envs/software.yaml" shell: "cp {input} {output}"snakemake-6.15.1/tests/profile/000077500000000000000000000000001417574166400163645ustar00rootroot00000000000000snakemake-6.15.1/tests/profile/Snakefile000066400000000000000000000005461417574166400202150ustar00rootroot00000000000000 rule all: input: expand("{name}.d", name=range(1000)) rule: output: "{name}.a" shell: "touch {output}" rule: input: "{name}.a" output: "{name}.b" shell: "touch {output}" rule: input: "{name}.b" output: "{name}.c" shell: "touch {output}" rule: input: "{name}.c" output: "{name}.d" shell: "touch {output}" snakemake-6.15.1/tests/test (with parenthese's)/000077500000000000000000000000001417574166400213315ustar00rootroot00000000000000snakemake-6.15.1/tests/test (with parenthese's)/Snakefile000066400000000000000000000003631417574166400231570ustar00rootroot00000000000000shell.executable("bash") rule: input: "test.in" output: "test.out" run: test = shell("echo 42;", read=True) assert int(test) == 42 with open(output[0], "w") as f: for l in shell("cat {input}", iterable=True): print(l, file=f) snakemake-6.15.1/tests/test (with parenthese's)/expected-results/000077500000000000000000000000001417574166400246315ustar00rootroot00000000000000snakemake-6.15.1/tests/test (with parenthese's)/expected-results/test.out000066400000000000000000000000101417574166400263300ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test (with parenthese's)/test.in000066400000000000000000000000101417574166400226270ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test01/000077500000000000000000000000001417574166400160445ustar00rootroot00000000000000snakemake-6.15.1/tests/test01/Snakefile000066400000000000000000000023501417574166400176700ustar00rootroot00000000000000from snakemake.utils import min_version from snakemake import __version__ print(__version__, file=sys.stderr) shell.prefix("source ~/.bashrc; ") #min_version("2.1") TEST = "abc" onstart: print("Workflow starting") print("Log:") print(log) onsuccess: print("Workflow finished") print("Log:") print(log) onerror: print("Workflow failed") print("Log:") print(log) ruleorder: rule2 > rule4 def testin(wildcards): return "test.in" def version(): return "3.3" rule rule1: # This rule creates an intermediate file. input: 'test.inter' output: 'dir/test.out' log: a='log/logfile.log' version: version() threads: 3 shell: 'if [ {threads} -ne 3 ]; then echo "This test has to be run with -j3 in order to succeed!"; exit 1; fi; ' \ 'echo {TEST}; echo {version}; cp {input[0]} {output[0]}; ' # append a comment 'echo test > {log.a}' rule rule2: input: testin output: 'test.inter' message: 'Copying {input[0]} to {output[0]}' shell: ''' cp {input[0]} {output[0]} ''' rule rule4: input: "test.in" output: "test.inter" shell: "cp {input} {output}" # this should be ignored since test.in is present rule rule3: input: "dir/{a}.out" output: "{a}.in" shell: "cp {input} {output}" snakemake-6.15.1/tests/test01/expected-results/000077500000000000000000000000001417574166400213445ustar00rootroot00000000000000snakemake-6.15.1/tests/test01/expected-results/dir/000077500000000000000000000000001417574166400221225ustar00rootroot00000000000000snakemake-6.15.1/tests/test01/expected-results/dir/test.out000066400000000000000000000000101417574166400236210ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test01/expected-results/test.inter000066400000000000000000000000101417574166400233550ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test01/test.in000066400000000000000000000000101417574166400173420ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test02/000077500000000000000000000000001417574166400160455ustar00rootroot00000000000000snakemake-6.15.1/tests/test02/Snakefile000066400000000000000000000006011417574166400176660ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'test.out' rule rule1: input: '{name}.in' output: '{name}.inter' #message: 'Copying {input[0]} to {output[0]}' log: "logs/{name}.log" shell: 'echo test > {log}; cp {input[0]} {output[0]}' rule rule2: input: '{name}.inter' output: '{name}.out' #message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' snakemake-6.15.1/tests/test02/expected-results/000077500000000000000000000000001417574166400213455ustar00rootroot00000000000000snakemake-6.15.1/tests/test02/expected-results/test.out000066400000000000000000000000101417574166400230440ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test02/test.in000066400000000000000000000000101417574166400173430ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test03/000077500000000000000000000000001417574166400160465ustar00rootroot00000000000000snakemake-6.15.1/tests/test03/Snakefile000066400000000000000000000002121417574166400176650ustar00rootroot00000000000000rule rule1: input: '{name}.in' output: '{name}.out' message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' snakemake-6.15.1/tests/test03/expected-results/000077500000000000000000000000001417574166400213465ustar00rootroot00000000000000snakemake-6.15.1/tests/test03/expected-results/test.out000066400000000000000000000000101417574166400230450ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test03/params000066400000000000000000000000111417574166400172440ustar00rootroot00000000000000test.out snakemake-6.15.1/tests/test03/test.in000066400000000000000000000000101417574166400173440ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test04/000077500000000000000000000000001417574166400160475ustar00rootroot00000000000000snakemake-6.15.1/tests/test04/Snakefile000066400000000000000000000006701417574166400176760ustar00rootroot00000000000000rule rule1: input: '{name}.bogus.in' output: '{name}.out' message: 'Writing junk to {output[0]}' shell: 'echo "junk" > {output[0]}; cat {input}' rule rule2: input: '{name}.in' output: '{name}.out' message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' rule rule3: input: '{name}.more.bogus.in' output: '{name}.out' message: 'Writing junk to {output[0]}' shell: 'echo "junk" > {output[0]}; cat{input}' snakemake-6.15.1/tests/test04/expected-results/000077500000000000000000000000001417574166400213475ustar00rootroot00000000000000snakemake-6.15.1/tests/test04/expected-results/test.out000066400000000000000000000000101417574166400230460ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test04/params000066400000000000000000000000111417574166400172450ustar00rootroot00000000000000test.out snakemake-6.15.1/tests/test04/test.in000066400000000000000000000000101417574166400173450ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test05/000077500000000000000000000000001417574166400160505ustar00rootroot00000000000000snakemake-6.15.1/tests/test05/Snakefile000066400000000000000000000015551417574166400177020ustar00rootroot00000000000000from snakemake import shell # Only effects for tests on Win shell.executable("bash") chromosomes = [1,2,3] #shell('rm test.*.inter 2> /dev/null | true') rule all: input: 'test.predictions' rule compute1: input: '{name}.in' output: inter=expand('{{name}}.{chr}.inter', chr=chromosomes) resources: gpu=1 run: assert len(output.inter) > 0 print(output.inter) for out in output: shell('(cat {input[0]} && echo "Part {out}") > {out}') rule compute2: input: '{name}.{chromosome}.inter', 'other.txt' output: '{name}.{chromosome}.inter2' threads: 2 resources: io=1 shell: 'cp {input[0]} {output[0]}' rule gather: input: ['{name}.%s.inter2'%c for c in chromosomes] output: '{name}.predictions' run: shell('cat {} > {}'.format(' '.join(input), output[0])) rule other: output: 'other.txt' priority: 50 resources: gpu=1 shell: 'touch other.txt' snakemake-6.15.1/tests/test05/expected-results/000077500000000000000000000000001417574166400213505ustar00rootroot00000000000000snakemake-6.15.1/tests/test05/expected-results/test.1.inter000066400000000000000000000000321417574166400235240ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test05/expected-results/test.1.inter2000066400000000000000000000000321417574166400236060ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test05/expected-results/test.2.inter000066400000000000000000000000321417574166400235250ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test05/expected-results/test.2.inter2000066400000000000000000000000321417574166400236070ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test05/expected-results/test.3.inter000066400000000000000000000000321417574166400235260ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test05/expected-results/test.3.inter2000066400000000000000000000000321417574166400236100ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test05/expected-results/test.predictions000066400000000000000000000001161417574166400245720ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter snakemake-6.15.1/tests/test05/test.in000066400000000000000000000000101417574166400173460ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test06/000077500000000000000000000000001417574166400160515ustar00rootroot00000000000000snakemake-6.15.1/tests/test06/Snakefile000066400000000000000000000003401417574166400176720ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'test.bla.out' rule wildcards: input: 'test.in' output: 'test.{xyz}.out' message: 'Creating file {output[0]}, xyz={wildcards.xyz}' shell: 'echo {wildcards.xyz} > {output[0]}' snakemake-6.15.1/tests/test06/expected-results/000077500000000000000000000000001417574166400213515ustar00rootroot00000000000000snakemake-6.15.1/tests/test06/expected-results/test.bla.out000066400000000000000000000000041417574166400236100ustar00rootroot00000000000000bla snakemake-6.15.1/tests/test06/test.in000066400000000000000000000000101417574166400173470ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test07/000077500000000000000000000000001417574166400160525ustar00rootroot00000000000000snakemake-6.15.1/tests/test07/Snakefile000066400000000000000000000002501417574166400176730ustar00rootroot00000000000000 rule rule1: input: 'test.in' output: 'test.out' shell: 'cp {input} {output}' rule rule2: input: 'test.in' output: 'test2.out' shell: 'cp {input} {output}' snakemake-6.15.1/tests/test07/expected-results/000077500000000000000000000000001417574166400213525ustar00rootroot00000000000000snakemake-6.15.1/tests/test07/expected-results/test.out000066400000000000000000000000101417574166400230510ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test07/expected-results/test2.out000066400000000000000000000000101417574166400231330ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test07/test.in000066400000000000000000000000101417574166400173500ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test08/000077500000000000000000000000001417574166400160535ustar00rootroot00000000000000snakemake-6.15.1/tests/test08/Snakefile000066400000000000000000000002641417574166400177010ustar00rootroot00000000000000rule rule1: input: '{file}.in' output: '{file}.inter' shell: 'cp {input} {output}' rule rule2: input: '{file}.inter' output: '{file}.out' shell: 'cp {input} {output}' snakemake-6.15.1/tests/test08/expected-results/000077500000000000000000000000001417574166400213535ustar00rootroot00000000000000snakemake-6.15.1/tests/test08/expected-results/test.out000066400000000000000000000000101417574166400230520ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test08/expected-results/test2.out000066400000000000000000000000041417574166400231370ustar00rootroot00000000000000Hoi snakemake-6.15.1/tests/test08/test.in000066400000000000000000000000101417574166400173510ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test08/test2.in000066400000000000000000000000041417574166400174360ustar00rootroot00000000000000Hoi snakemake-6.15.1/tests/test09/000077500000000000000000000000001417574166400160545ustar00rootroot00000000000000snakemake-6.15.1/tests/test09/Snakefile000066400000000000000000000005541417574166400177040ustar00rootroot00000000000000from snakemake import shell def fail(input, output): shell("false && cp {input} {output}") def x(input, output): fail(input, output) rule rule2: input: 'test.inter' output: 'test.out' shell: 'cp {input} {output}' rule rule1: input: 'test.in' output: 'test.inter' log: "logs/test.log" shell: "touch {log} && false && cp {input} {output}" snakemake-6.15.1/tests/test09/expected-results/000077500000000000000000000000001417574166400213545ustar00rootroot00000000000000snakemake-6.15.1/tests/test09/expected-results/.gitignore000066400000000000000000000000001417574166400233320ustar00rootroot00000000000000snakemake-6.15.1/tests/test09/test.in000066400000000000000000000000101417574166400173520ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test10/000077500000000000000000000000001417574166400160445ustar00rootroot00000000000000snakemake-6.15.1/tests/test10/Snakefile000066400000000000000000000001611417574166400176660ustar00rootroot00000000000000shell.executable("bash") rule rule1: input: 'test.in' output: 'test.out' run: shell('cp {input} {output}') snakemake-6.15.1/tests/test10/expected-results/000077500000000000000000000000001417574166400213445ustar00rootroot00000000000000snakemake-6.15.1/tests/test10/expected-results/test.out000066400000000000000000000000101417574166400230430ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test10/test.in000066400000000000000000000000101417574166400173420ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test11/000077500000000000000000000000001417574166400160455ustar00rootroot00000000000000snakemake-6.15.1/tests/test11/Snakefile000066400000000000000000000001551417574166400176720ustar00rootroot00000000000000include: "import.snakefile" rule: input: 'test.inter' output: 'test.out' shell: 'cp {input} {output}' snakemake-6.15.1/tests/test11/expected-results/000077500000000000000000000000001417574166400213455ustar00rootroot00000000000000snakemake-6.15.1/tests/test11/expected-results/test.inter000066400000000000000000000000101417574166400233560ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test11/expected-results/test.out000066400000000000000000000000101417574166400230440ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test11/import.snakefile000066400000000000000000000001171417574166400212410ustar00rootroot00000000000000rule: input: 'test.in' output: 'test.inter' shell: 'cp {input} {output}' snakemake-6.15.1/tests/test11/test.in000066400000000000000000000000101417574166400173430ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test12/000077500000000000000000000000001417574166400160465ustar00rootroot00000000000000snakemake-6.15.1/tests/test12/Snakefile000066400000000000000000000004341417574166400176730ustar00rootroot00000000000000 rule rule1: input: 'test.inter' output: 'test.out' #message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' rule rule2: input: 'test.in' output: temp('test.inter') #message: 'Copying {input[0]} to {output[0]}' shell: 'cp {input[0]} {output[0]}' snakemake-6.15.1/tests/test12/expected-results/000077500000000000000000000000001417574166400213465ustar00rootroot00000000000000snakemake-6.15.1/tests/test12/expected-results/test.out000066400000000000000000000000101417574166400230450ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test12/test.in000066400000000000000000000000101417574166400173440ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test13/000077500000000000000000000000001417574166400160475ustar00rootroot00000000000000snakemake-6.15.1/tests/test13/Snakefile000066400000000000000000000006251417574166400176760ustar00rootroot00000000000000 # Has only effect on Win shell.executable("bash") rule all: input: 'test.algo1-p7-improved.out' rule run_algo1: input: '{dataset}.in' output: '{dataset}.algo1-p{param,[0-9]+}.out' shell: 'echo "algo1 / {wildcards.param}" > {output}' rule postprocess: input: '{dataset}.{algorithm}.out' output: '{dataset}.{algorithm}-improved.out' shell: 'cp {input} {output} && (echo "IMPROVED" >> {output})' snakemake-6.15.1/tests/test13/expected-results/000077500000000000000000000000001417574166400213475ustar00rootroot00000000000000snakemake-6.15.1/tests/test13/expected-results/test.algo1-p7-improved.out000066400000000000000000000000231417574166400262230ustar00rootroot00000000000000algo1 / 7 IMPROVED snakemake-6.15.1/tests/test13/expected-results/test.algo1-p7.out000066400000000000000000000000121417574166400243760ustar00rootroot00000000000000algo1 / 7 snakemake-6.15.1/tests/test13/test.in000066400000000000000000000000101417574166400173450ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test14/000077500000000000000000000000001417574166400160505ustar00rootroot00000000000000snakemake-6.15.1/tests/test14/Snakefile.nonstandard000066400000000000000000000012701417574166400222060ustar00rootroot00000000000000from snakemake import shell chromosomes = [1,2,3,4,5] envvars: "TESTVAR" rule all: input: 'test.predictions', 'test.2.inter2' rule compute1: input: '{name}.in' output: ['{name}.%s.inter'%c for c in chromosomes] params: prefix="{name}" run: for out in output: shell('(cat {input[0]} && echo "Part {out}") > {out}') rule compute2: input: '{name}.{chromosome}.inter' output: '{name}.{chromosome}.inter2' params: test="a=b" threads: workflow.cores * 0.5 shell: 'echo copy; cp {input[0]} {output[0]}' rule gather: input: ['{name}.%s.inter2'%c for c in chromosomes] output: '{name}.predictions' run: shell('cat {} > {}'.format(' '.join(input), output[0])) snakemake-6.15.1/tests/test14/expected-results/000077500000000000000000000000001417574166400213505ustar00rootroot00000000000000snakemake-6.15.1/tests/test14/expected-results/test.1.inter000066400000000000000000000000321417574166400235240ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test14/expected-results/test.1.inter2000066400000000000000000000000321417574166400236060ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test14/expected-results/test.2.inter000066400000000000000000000000321417574166400235250ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test14/expected-results/test.2.inter2000066400000000000000000000000321417574166400236070ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test14/expected-results/test.3.inter000066400000000000000000000000321417574166400235260ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test14/expected-results/test.3.inter2000066400000000000000000000000321417574166400236100ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test14/expected-results/test.predictions000066400000000000000000000002021417574166400245660ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter testz0r Part test.4.inter testz0r Part test.5.inter snakemake-6.15.1/tests/test14/qsub000077500000000000000000000002231417574166400167450ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test14/qsub.py000077500000000000000000000004771417574166400174070ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) with open("qsub.log", "a") as log: print(job_properties, file=log) print(random.randint(1, 100)) os.system("sh {}".format(jobscript)) snakemake-6.15.1/tests/test14/test.in000066400000000000000000000000101417574166400173460ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test15/000077500000000000000000000000001417574166400160515ustar00rootroot00000000000000snakemake-6.15.1/tests/test15/Snakefile000066400000000000000000000002331417574166400176730ustar00rootroot00000000000000 rule a: input: test = lambda wildcards: "test2.in" if os.path.exists("test2.in") else "test.in" output: "test.out" shell: "cp {input.test} {output}" snakemake-6.15.1/tests/test15/expected-results/000077500000000000000000000000001417574166400213515ustar00rootroot00000000000000snakemake-6.15.1/tests/test15/expected-results/test.out000066400000000000000000000000101417574166400230500ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test15/test.in000066400000000000000000000000101417574166400173470ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/testHighWorkload/000077500000000000000000000000001417574166400202065ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/Snakefile000066400000000000000000000012121417574166400220260ustar00rootroot00000000000000import os.path import sys instances = [os.path.basename(s[:len(s)-4]) for s in os.listdir('mfa') if s.endswith('.mfa')] rule all: input: ['fisher/%s.pairs.gz'%s for s in instances] + ['ph/%s.ph'%s for s in instances] rule extract_mismatch_counts: input: 'mfa/{instance}.mfa' output: 'fisher/{instance}.pairs.gz' message: 'Extracting number mismatches for each pair of sequences from {input}' shell: 'sleep 2; touch {output}' rule create_tree: input: 'mfa/{instance}.mfa' output: 'ph/{instance}.ph', 'ph/{instance}.ph.log' message: 'Running CLUSTALW to compute NJ tree from {input}' shell: "sleep 2; touch {output[0]}; touch {output[1]}" snakemake-6.15.1/tests/testHighWorkload/mfa/000077500000000000000000000000001417574166400207515ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/00.mfa000066400000000000000000000000001417574166400216430ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/01.mfa000066400000000000000000000000001417574166400216440ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/02.mfa000066400000000000000000000000001417574166400216450ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/03.mfa000066400000000000000000000000001417574166400216460ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/04.mfa000066400000000000000000000000001417574166400216470ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/05.mfa000066400000000000000000000000001417574166400216500ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/06.mfa000066400000000000000000000000001417574166400216510ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/07.mfa000066400000000000000000000000001417574166400216520ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/08.mfa000066400000000000000000000000001417574166400216530ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/09.mfa000066400000000000000000000000001417574166400216540ustar00rootroot00000000000000snakemake-6.15.1/tests/testHighWorkload/mfa/10.mfa000066400000000000000000000000001417574166400216440ustar00rootroot00000000000000snakemake-6.15.1/tests/test_all_temp/000077500000000000000000000000001417574166400175605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_all_temp/Snakefile000066400000000000000000000005371417574166400214110ustar00rootroot00000000000000rule all: input: "test2.txt" run: import os if os.path.exists("test1.txt"): raise ValueError("test1.txt still present!") rule a: output: "test1.txt" shell: "touch {output}" rule b: input: "test1.txt" output: "test2.txt" shell: "touch {output}"snakemake-6.15.1/tests/test_all_temp/expected-results/000077500000000000000000000000001417574166400230605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_all_temp/expected-results/.gitkeep000066400000000000000000000000001417574166400244770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient/000077500000000000000000000000001417574166400174045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient/Snakefile000066400000000000000000000021731417574166400212330ustar00rootroot00000000000000from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider shell.executable("bash") HTTP = HTTPRemoteProvider() shell("touch C && sleep 1 && touch B && sleep 1 && touch A && touch D && \ mkdir -p github.com/snakemake/snakemake/raw/main/tests/test_remote_http/expected-results && \ touch github.com/snakemake/snakemake/raw/main/tests/test_remote_http/expected-results/landsat-data.txt && \ touch -t 200101010101 old_file") #Will not be executed even though A is newer rule a: input: ancient("A") output: "B" shell: "echo \"B recreated\" > {output}" #Will be executed because B is newer rule b: input: "B" output: "C" shell: "echo \"C recreated\" > {output}" rule c: input: ancient("C") output: "D" shell: "echo \"D recreated\" > {output}" # This should not run even though output is older than input rule remote_ancient: input: ancient(HTTP.remote("github.com/snakemake/snakemake/raw/main/tests/test_remote_http/expected-results/landsat-data.txt")) output: "old_file" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_ancient/expected-results/000077500000000000000000000000001417574166400227045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient/expected-results/A000066400000000000000000000000001417574166400227750ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient/expected-results/B000066400000000000000000000000001417574166400227760ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient/expected-results/C000066400000000000000000000000141417574166400230040ustar00rootroot00000000000000C recreated snakemake-6.15.1/tests/test_ancient/expected-results/D000066400000000000000000000000001417574166400230000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient/expected-results/old_file000066400000000000000000000000001417574166400243720ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient_dag/000077500000000000000000000000001417574166400202175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient_dag/Snakefile000066400000000000000000000013221417574166400220410ustar00rootroot00000000000000shell.executable("bash") rule all: input: "d.out", rule A: output: "a.out", shell: "echo 'text' > {output}" rule B: input: ancient("a.out"), output: "b_{i}.out", shell: "cat {input} > {output}" # rule C is required for #946 # use `range(20)` so test will pass in < 5% of cases where issue is present rule C: input: expand("b_{i}.out", i=list(range(20))), output: "c.out", shell: "cat {input} > {output}" # For #946, 'a.out' is required as input, but does not need to be `ancient()` rule D: input: "a.out", "c.out", output: "d.out", shell: "cat {input} > {output}" snakemake-6.15.1/tests/test_ancient_dag/expected-results/000077500000000000000000000000001417574166400235175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ancient_dag/expected-results/.gitkeep000066400000000000000000000000001417574166400251360ustar00rootroot00000000000000snakemake-6.15.1/tests/test_archive/000077500000000000000000000000001417574166400174045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_archive/Snakefile000066400000000000000000000002101417574166400212210ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" conda: "test-env.yaml" shell: "touch {output}" snakemake-6.15.1/tests/test_archive/expected-results/000077500000000000000000000000001417574166400227045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_archive/expected-results/.gitignore000066400000000000000000000000001417574166400246620ustar00rootroot00000000000000snakemake-6.15.1/tests/test_archive/test-env.yaml000066400000000000000000000001061417574166400220320ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - zlib =1.2.11 snakemake-6.15.1/tests/test_bash/000077500000000000000000000000001417574166400167005ustar00rootroot00000000000000snakemake-6.15.1/tests/test_bash/Snakefile000066400000000000000000000001611417574166400205220ustar00rootroot00000000000000 shell.executable("bash") rule a: output: "test.out" shell: "basename $BASH > {output}" snakemake-6.15.1/tests/test_bash/expected-results/000077500000000000000000000000001417574166400222005ustar00rootroot00000000000000snakemake-6.15.1/tests/test_bash/expected-results/test.out000066400000000000000000000000051417574166400237030ustar00rootroot00000000000000bash snakemake-6.15.1/tests/test_batch/000077500000000000000000000000001417574166400170445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch/Snakefile000066400000000000000000000006371417574166400206760ustar00rootroot00000000000000SAMPLES = ["a", "b", "c"] rule all: input: "foo.txt", "bar.txt" rule aggregate: input: expand("{sample}.inter.txt", sample=SAMPLES) output: "foo.txt" shell: "touch {output}" rule feed: output: temp("{sample}.inter.txt") shell: "touch {output}" rule independent: output: "bar.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_batch/expected-results/000077500000000000000000000000001417574166400223445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch/expected-results/a.inter.txt000066400000000000000000000000001417574166400244330ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch/expected-results/bar.txt000066400000000000000000000000001417574166400236370ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch_final/000077500000000000000000000000001417574166400202155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch_final/Snakefile000066400000000000000000000006371417574166400220470ustar00rootroot00000000000000SAMPLES = ["a", "b", "c"] rule all: input: "foo.txt", "bar.txt" rule aggregate: input: expand("{sample}.inter.txt", sample=SAMPLES) output: "foo.txt" shell: "touch {output}" rule feed: output: temp("{sample}.inter.txt") shell: "touch {output}" rule independent: output: "bar.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_batch_final/expected-results/000077500000000000000000000000001417574166400235155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch_final/expected-results/bar.txt000066400000000000000000000000001417574166400250100ustar00rootroot00000000000000snakemake-6.15.1/tests/test_batch_final/expected-results/foo.txt000066400000000000000000000000001417574166400250270ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/000077500000000000000000000000001417574166400177155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/Snakefile000066400000000000000000000011771417574166400215470ustar00rootroot00000000000000import time rule all: input: "test.benchmark_shell.txt", "test.benchmark_script.txt", "test.benchmark_run.txt", "test.benchmark_run_shell.txt", rule bench_shell: benchmark: repeat("test.benchmark_shell.txt", 2) threads: 2 shell: "stress --cpu {threads} --timeout 10" rule bench_script: benchmark: "test.benchmark_script.txt" script: 'script.py' rule bench_run: benchmark: "test.benchmark_run.txt" run: time.sleep(1) rule bench_run_shell: benchmark: "test.benchmark_run_shell.txt" run: shell("sleep 1") snakemake-6.15.1/tests/test_benchmark/expected-results/000077500000000000000000000000001417574166400232155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/expected-results/test.benchmark_run.txt000066400000000000000000000000001417574166400275400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/expected-results/test.benchmark_run_shell.txt000066400000000000000000000000001417574166400307270ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/expected-results/test.benchmark_script.txt000066400000000000000000000000001417574166400302400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/expected-results/test.benchmark_shell.txt000066400000000000000000000000001417574166400300430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_benchmark/script.py000077500000000000000000000001451417574166400215760ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import time print("Hello World!", file=sys.stderr) time.sleep(1) snakemake-6.15.1/tests/test_cache_multioutput/000077500000000000000000000000001417574166400215215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cache_multioutput/Snakefile000066400000000000000000000001511417574166400233420ustar00rootroot00000000000000rule a: output: "1.txt", "2.txt", cache: True shell: "touch {output}"snakemake-6.15.1/tests/test_cache_multioutput/expected-results/000077500000000000000000000000001417574166400250215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cache_multioutput/expected-results/.gitkeep000066400000000000000000000000001417574166400264400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoint_allowed_rules/000077500000000000000000000000001417574166400230335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoint_allowed_rules/Snakefile000066400000000000000000000003121417574166400246530ustar00rootroot00000000000000checkpoint a: output: touch("a.txt") rule b: output: touch("b.txt") def get_input(wildcards): checkpoints.a.get() return "b.txt" rule c: input: get_input shell: "echo {input}"snakemake-6.15.1/tests/test_checkpoint_allowed_rules/expected-results/000077500000000000000000000000001417574166400263335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoint_allowed_rules/expected-results/b.txt000066400000000000000000000000001417574166400273030ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoint_allowed_rules/qsub000077500000000000000000000002231417574166400237300ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_checkpoints/000077500000000000000000000000001417574166400202755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints/Snakefile000066400000000000000000000017451417574166400221300ustar00rootroot00000000000000 rule all: input: "aggregated/a.txt", "aggregated/b.txt" checkpoint somestep: input: "samples/{sample}.txt" output: "somestep/{sample}.txt" shell: # simulate some output vale "echo {wildcards.sample} > somestep/{wildcards.sample}.txt" rule intermediate: input: "somestep/{sample}.txt" output: "post/{sample}.txt" shell: "touch {output}" rule alt_intermediate: input: "somestep/{sample}.txt" output: "alt/{sample}.txt" shell: "touch {output}" def aggregate_input(wildcards): # decision based on content of output file with checkpoints.somestep.get(**wildcards).output[0].open() as f: if f.read().strip() == "a": return "post/{sample}.txt" else: return "alt/{sample}.txt" rule aggregate: input: aggregate_input output: "aggregated/{sample}.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_checkpoints/expected-results/000077500000000000000000000000001417574166400235755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints/expected-results/aggregated/000077500000000000000000000000001417574166400256675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints/expected-results/aggregated/a.txt000066400000000000000000000000001417574166400266360ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints/samples/000077500000000000000000000000001417574166400217415ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints/samples/a.txt000066400000000000000000000000001417574166400227100ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints/samples/b.txt000066400000000000000000000000001417574166400227110ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints_dir/000077500000000000000000000000001417574166400211335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints_dir/Snakefile000066400000000000000000000026111417574166400227570ustar00rootroot00000000000000shell.executable("bash") rule all: input: "aggregated/a.txt", "aggregated/b.txt" # create three txt files 1.txt to 3.txt containing # the numbers 1, 2, and 3 respectively. checkpoint clustering: input: "samples/{sample}.txt" output: clusters=directory("clustering/{sample}") shell: "mkdir clustering/{wildcards.sample}; " "for i in 1 2 3; do echo $i > clustering/{wildcards.sample}/$i.txt; done" rule intermediate: input: "clustering/{sample}/{i}.txt" output: "post/{sample}/{i}.txt" shell: "cp {input} {output}" # input function collecting all txt files (all i's) # for a given sample. E.g. for sample b: # ['post/b/1.txt', 'post/b/3.txt', 'post/b/2.txt'] # To avoid different order based on different architectures, # this input file list is sorted. For details see # https://github.com/snakemake/snakemake/pull/826#issue-550400376 def aggregate_input(wildcards): return sorted( expand( "post/{sample}/{i}.txt", sample=wildcards.sample, i=glob_wildcards( os.path.join( checkpoints.clustering.get(**wildcards).output[0], "{i}.txt" ) ).i, ) ) rule aggregate: input: aggregate_input output: "aggregated/{sample}.txt" shell: "cat {input} > {output}" snakemake-6.15.1/tests/test_checkpoints_dir/expected-results/000077500000000000000000000000001417574166400244335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints_dir/expected-results/aggregated/000077500000000000000000000000001417574166400265255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints_dir/expected-results/aggregated/a.txt000066400000000000000000000000061417574166400275020ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_checkpoints_dir/expected-results/aggregated/b.txt000066400000000000000000000000061417574166400275030ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_checkpoints_dir/samples/000077500000000000000000000000001417574166400225775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints_dir/samples/a.txt000066400000000000000000000000001417574166400235460ustar00rootroot00000000000000snakemake-6.15.1/tests/test_checkpoints_dir/samples/b.txt000066400000000000000000000000001417574166400235470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cluster_statusscript/000077500000000000000000000000001417574166400222745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cluster_statusscript/Snakefile.nonstandard000066400000000000000000000012701417574166400264320ustar00rootroot00000000000000from snakemake import shell chromosomes = [1,2,3,4,5] envvars: "TESTVAR" rule all: input: 'test.predictions', 'test.2.inter2' rule compute1: input: '{name}.in' output: ['{name}.%s.inter'%c for c in chromosomes] params: prefix="{name}" run: for out in output: shell('(cat {input[0]} && echo "Part {out}") > {out}') rule compute2: input: '{name}.{chromosome}.inter' output: '{name}.{chromosome}.inter2' params: test="a=b" threads: workflow.cores * 0.5 shell: 'echo copy; cp {input[0]} {output[0]}' rule gather: input: ['{name}.%s.inter2'%c for c in chromosomes] output: '{name}.predictions' run: shell('cat {} > {}'.format(' '.join(input), output[0])) snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/000077500000000000000000000000001417574166400255745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.1.inter000066400000000000000000000000321417574166400277500ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.1.inter2000066400000000000000000000000321417574166400300320ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.2.inter000066400000000000000000000000321417574166400277510ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.2.inter2000066400000000000000000000000321417574166400300330ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.3.inter000066400000000000000000000000321417574166400277520ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.3.inter2000066400000000000000000000000321417574166400300340ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test_cluster_statusscript/expected-results/test.predictions000066400000000000000000000002021417574166400310120ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter testz0r Part test.4.inter testz0r Part test.5.inter snakemake-6.15.1/tests/test_cluster_statusscript/qsub000077500000000000000000000002231417574166400231710ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_cluster_statusscript/status.sh000077500000000000000000000000151417574166400241520ustar00rootroot00000000000000echo success snakemake-6.15.1/tests/test_cluster_statusscript/test.in000066400000000000000000000000101417574166400235720ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test_conda/000077500000000000000000000000001417574166400170475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda/Snakefile000066400000000000000000000005651417574166400207010ustar00rootroot00000000000000shell.executable("bash") rule all: input: expand("test{i}.out2", i=range(3)) rule a: output: "test{i}.out" conda: "test-env.yaml" shell: "Tm -h > {output} || true" rule b: input: "test{i}.out" output: "test{i}.out2" conda: "test-env.yaml" shell: "Tm -h > {output} || true" snakemake-6.15.1/tests/test_conda/expected-results/000077500000000000000000000000001417574166400223475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda/expected-results/test0.out000066400000000000000000000011441417574166400241370ustar00rootroot00000000000000usage: Tm [-h] [--uncorrected] [-d DNA] [--na NA] [--mg MG] [--dntp DNTP] [--version] seq Calculate nucleotide melting temps positional arguments: seq nucleotide sequence optional arguments: -h, --help show this help message and exit --uncorrected Do not use monovalent/divalent cation corrections -d DNA, --dna DNA DNA concentration (nM) --na NA Na+ concentration (mM) --mg MG Mg++ concentration (mM) --dntp DNTP Nucleotide triphosphate concentration (mM) --version show program's version number and exit snakemake-6.15.1/tests/test_conda/expected-results/test1.out000066400000000000000000000011441417574166400241400ustar00rootroot00000000000000usage: Tm [-h] [--uncorrected] [-d DNA] [--na NA] [--mg MG] [--dntp DNTP] [--version] seq Calculate nucleotide melting temps positional arguments: seq nucleotide sequence optional arguments: -h, --help show this help message and exit --uncorrected Do not use monovalent/divalent cation corrections -d DNA, --dna DNA DNA concentration (nM) --na NA Na+ concentration (mM) --mg MG Mg++ concentration (mM) --dntp DNTP Nucleotide triphosphate concentration (mM) --version show program's version number and exit snakemake-6.15.1/tests/test_conda/expected-results/test2.out000066400000000000000000000011441417574166400241410ustar00rootroot00000000000000usage: Tm [-h] [--uncorrected] [-d DNA] [--na NA] [--mg MG] [--dntp DNTP] [--version] seq Calculate nucleotide melting temps positional arguments: seq nucleotide sequence optional arguments: -h, --help show this help message and exit --uncorrected Do not use monovalent/divalent cation corrections -d DNA, --dna DNA DNA concentration (nM) --na NA Na+ concentration (mM) --mg MG Mg++ concentration (mM) --dntp DNTP Nucleotide triphosphate concentration (mM) --version show program's version number and exit snakemake-6.15.1/tests/test_conda/test-env.yaml000066400000000000000000000001271417574166400215000ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - melt ==1.0.3 - python <3.10 snakemake-6.15.1/tests/test_conda_cmd_exe/000077500000000000000000000000001417574166400205335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda_cmd_exe/Snakefile000066400000000000000000000005641417574166400223640ustar00rootroot00000000000000 rule all: input: expand("test{i}.out2", i=range(3)) rule a: output: "test{i}.out" conda: "test-env.yaml" shell: 'make --version > {output} || VER>NUL' rule b: input: "test{i}.out" output: "test{i}.out2" conda: "test-env.yaml" shell: "make --version > {output} || VER>NUL" snakemake-6.15.1/tests/test_conda_cmd_exe/expected-results/000077500000000000000000000000001417574166400240335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda_cmd_exe/expected-results/test0.out000066400000000000000000000004371417574166400256270ustar00rootroot00000000000000GNU Make 4.3 Built for Windows32 Copyright (C) 1988-2020 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. snakemake-6.15.1/tests/test_conda_cmd_exe/expected-results/test1.out000066400000000000000000000004371417574166400256300ustar00rootroot00000000000000GNU Make 4.3 Built for Windows32 Copyright (C) 1988-2020 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. snakemake-6.15.1/tests/test_conda_cmd_exe/expected-results/test2.out000066400000000000000000000004371417574166400256310ustar00rootroot00000000000000GNU Make 4.3 Built for Windows32 Copyright (C) 1988-2020 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. snakemake-6.15.1/tests/test_conda_cmd_exe/test-env.yaml000066400000000000000000000000711417574166400231620ustar00rootroot00000000000000channels: - conda-forge dependencies: - make ==4.3 snakemake-6.15.1/tests/test_conda_custom_prefix/000077500000000000000000000000001417574166400220165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda_custom_prefix/Snakefile000066400000000000000000000007141417574166400236440ustar00rootroot00000000000000import platform shell.executable("bash") if platform.system() == "Windows": custom_path = "custom/*/Scripts/snakemake.exe" else: custom_path = "custom/*/bin/snakemake" rule all: input: expand("test{i}.out", i=range(3)) rule a: output: "test{i}.out" conda: "test-env.yaml" params: custom_path=custom_path shell: "test -e {params.custom_path} && " "snakemake --version > {output}" snakemake-6.15.1/tests/test_conda_custom_prefix/expected-results/000077500000000000000000000000001417574166400253165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda_custom_prefix/expected-results/test0.out000066400000000000000000000000061417574166400271020ustar00rootroot000000000000005.7.1 snakemake-6.15.1/tests/test_conda_custom_prefix/expected-results/test1.out000066400000000000000000000000061417574166400271030ustar00rootroot000000000000005.7.1 snakemake-6.15.1/tests/test_conda_custom_prefix/expected-results/test2.out000066400000000000000000000000061417574166400271040ustar00rootroot000000000000005.7.1 snakemake-6.15.1/tests/test_conda_custom_prefix/test-env.yaml000066400000000000000000000001231417574166400244430ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - snakemake-minimal ==5.7.1 snakemake-6.15.1/tests/test_conda_named/000077500000000000000000000000001417574166400202135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda_named/Snakefile000066400000000000000000000006331417574166400220410ustar00rootroot00000000000000shell("source activate base; mamba create -y -n xxx-test-env -c conda-forge --override-channels ripgrep==13.0.0") onsuccess: shell("conda env remove -y -n xxx-test-env") onerror: shell("conda env remove -y -n xxx-test-env") rule a: output: "test.out" conda: "xxx-test-env" shell: r"rg --version | head -n1 | grep -o 'ripgrep [0-9]*\.[0-9]*\.[0-9]*' > {output}" snakemake-6.15.1/tests/test_conda_named/expected-results/000077500000000000000000000000001417574166400235135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conda_named/expected-results/test.out000066400000000000000000000000171417574166400252210ustar00rootroot00000000000000ripgrep 13.0.0 snakemake-6.15.1/tests/test_conditional/000077500000000000000000000000001417574166400202665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conditional/Snakefile000066400000000000000000000006621417574166400221160ustar00rootroot00000000000000 CONDITION = False if CONDITION: rule: output: "test.out" shell: "echo bla; exit 1" else: rule: output: "test.out" shell: "touch {output}" # the following is bad style and just for testing. You should rather write a rule that collects test{i}.out as input files and have ONE rule that generates any of the files with a wildcard. for i in range(3): rule: output: "test.{i}.out".format(i=i) shell: "touch {output}" snakemake-6.15.1/tests/test_conditional/expected-results/000077500000000000000000000000001417574166400235665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conditional/expected-results/test.0.out000066400000000000000000000000001417574166400254220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conditional/expected-results/test.1.out000066400000000000000000000000001417574166400254230ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conditional/expected-results/test.2.out000066400000000000000000000000001417574166400254240ustar00rootroot00000000000000snakemake-6.15.1/tests/test_conditional/expected-results/test.out000066400000000000000000000000001417574166400252640ustar00rootroot00000000000000snakemake-6.15.1/tests/test_config/000077500000000000000000000000001417574166400172305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_config/Snakefile000066400000000000000000000002041417574166400210500ustar00rootroot00000000000000 include: "test.rules" configfile: "test.json" rule: output: config["outfile"] shell: "touch {output}" snakemake-6.15.1/tests/test_config/expected-results/000077500000000000000000000000001417574166400225305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_config/expected-results/test.out000066400000000000000000000000001417574166400242260ustar00rootroot00000000000000snakemake-6.15.1/tests/test_config/test.json000066400000000000000000000000361417574166400211010ustar00rootroot00000000000000{ "outfile": "test.out" } snakemake-6.15.1/tests/test_config/test.rules000066400000000000000000000000311417574166400212550ustar00rootroot00000000000000configfile: "test2.json" snakemake-6.15.1/tests/test_config/test2.json000066400000000000000000000000371417574166400211640ustar00rootroot00000000000000{ "outfile": "test2.out" } snakemake-6.15.1/tests/test_config/test3.json000066400000000000000000000000371417574166400211650ustar00rootroot00000000000000{ "outfile": "test3.out" } snakemake-6.15.1/tests/test_config_merging/000077500000000000000000000000001417574166400207405ustar00rootroot00000000000000snakemake-6.15.1/tests/test_config_merging/Snakefile000066400000000000000000000003211417574166400225600ustar00rootroot00000000000000configfile: "config_snakefile.yaml" rule dump_config: output: "test.out", run: import json with open(output[0], "w") as fd: json.dump(config, fd, sort_keys=True) snakemake-6.15.1/tests/test_config_merging/config_cmdline_01.yaml000066400000000000000000000001001417574166400250530ustar00rootroot00000000000000block: foo: cfg01_foo bar: cfg01_bar baz: cfg01_baz snakemake-6.15.1/tests/test_config_merging/config_cmdline_02.yaml000066400000000000000000000001061417574166400250620ustar00rootroot00000000000000block: foo: cfg02_foo qux: cfg02_qux bowser: cfg02_bowser snakemake-6.15.1/tests/test_config_merging/config_snakefile.yaml000066400000000000000000000000611417574166400251070ustar00rootroot00000000000000block: bar: snake_bar fubar: snake_fubar snakemake-6.15.1/tests/test_config_merging/expected-results/000077500000000000000000000000001417574166400242405ustar00rootroot00000000000000snakemake-6.15.1/tests/test_config_merging/expected-results/test.out000066400000000000000000000002471417574166400257530ustar00rootroot00000000000000{"block": {"bar": "cfg01_bar", "baz": "cfg01_baz", "bowser": "cmdline_bowser", "foo": "cfg02_foo", "fubar": "snake_fubar", "qux": "cfg02_qux", "toad": "cmdline_toad"}}snakemake-6.15.1/tests/test_container/000077500000000000000000000000001417574166400177455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_container/Snakefile000066400000000000000000000006141417574166400215720ustar00rootroot00000000000000 rule a: input: "test.txt" output: "test.out" container: "docker://bash" shell: 'ls {input}; echo "test" > {output}' rule b: output: "test.txt" shell: "touch {output}" rule c: output: "invalid.txt" container: "docker://invalid/image url even with whitespace" shell: "touch {output}" snakemake-6.15.1/tests/test_container/expected-results/000077500000000000000000000000001417574166400232455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_container/expected-results/test.out000066400000000000000000000000051417574166400247500ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_container/test.txt000066400000000000000000000000001417574166400214530ustar00rootroot00000000000000snakemake-6.15.1/tests/test_containerized/000077500000000000000000000000001417574166400206215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_containerized/Dockerfile000066400000000000000000000014001417574166400226060ustar00rootroot00000000000000FROM condaforge/mambaforge:latest LABEL io.github.snakemake.containerized="true" LABEL io.github.snakemake.conda_env_hash="d630028d41ac6564d03ea65c4edb2d271d33f36409fedab419872fe30d7df6b4" # Step 1: Retrieve conda environments # Conda environment: # source: env.yaml # prefix: /conda-envs/1219696ceec39be99ff366456467efb2 # channels: # - bioconda # - conda-forge # dependencies: # - bcftools =1.10 RUN mkdir -p /conda-envs/1219696ceec39be99ff366456467efb2 COPY env.yaml /conda-envs/1219696ceec39be99ff366456467efb2/environment.yaml # Step 2: Generate conda environments RUN mamba env create --prefix /conda-envs/1219696ceec39be99ff366456467efb2 --file /conda-envs/1219696ceec39be99ff366456467efb2/environment.yaml && \ mamba clean --all -y snakemake-6.15.1/tests/test_containerized/Snakefile000066400000000000000000000002771417574166400224530ustar00rootroot00000000000000containerized: "docker://quay.io/snakemake/containerize-testimage:1.0" rule a: output: "test.out" conda: "env.yaml" shell: "bcftools 2> {output} || true" snakemake-6.15.1/tests/test_containerized/env.yaml000066400000000000000000000001101417574166400222650ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - bcftools =1.10 snakemake-6.15.1/tests/test_containerized/expected-results/000077500000000000000000000000001417574166400241215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_containerized/expected-results/test.out000066400000000000000000000033701417574166400256340ustar00rootroot00000000000000 Program: bcftools (Tools for variant calling and manipulating VCFs and BCFs) License: GNU GPLv3+, due to use of the GNU Scientific Library Version: 1.10.2 (using htslib 1.10.2) Usage: bcftools [--version|--version-only] [--help] Commands: -- Indexing index index VCF/BCF files -- VCF/BCF manipulation annotate annotate and edit VCF/BCF files concat concatenate VCF/BCF files from the same set of samples convert convert VCF/BCF files to different formats and back isec intersections of VCF/BCF files merge merge VCF/BCF files files from non-overlapping sample sets norm left-align and normalize indels plugin user-defined plugins query transform VCF/BCF into user-defined formats reheader modify VCF/BCF header, change sample names sort sort VCF/BCF file view VCF/BCF conversion, view, subset and filter VCF/BCF files -- VCF/BCF analysis call SNP/indel calling consensus create consensus sequence by applying VCF variants cnv HMM CNV calling csq call variation consequences filter filter VCF/BCF files using fixed thresholds gtcheck check sample concordance, detect sample swaps and contamination mpileup multi-way pileup producing genotype likelihoods polysomy detect number of chromosomal copies roh identify runs of autozygosity (HMM) stats produce VCF/BCF stats Most commands accept VCF, bgzipped VCF, and BCF with the file type detected automatically even when streaming from a pipe. Indexed VCF and BCF will work in all situations. Un-indexed VCF and BCF and streams will work in most but not all situations. snakemake-6.15.1/tests/test_convert_to_cwl/000077500000000000000000000000001417574166400210125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_convert_to_cwl/Snakefile000066400000000000000000000017361417574166400226450ustar00rootroot00000000000000import os print(os.listdir(".")) print(os.getcwd()) TEST = "abc" onstart: print("Workflow starting") print("Log:") print(log) onsuccess: print("Workflow finished") print("Log:") print(log) onerror: print("Workflow failed") print("Log:") print(log) ruleorder: rule2 > rule4 def testin(wildcards): return "test.in" def version(): return "3.3" rule rule1: # This rule creates an intermediate file. input: 'dir/a/test.inter' output: 'dir/test.out' log: a='log/logfile.log' version: version() shell: 'echo {TEST}; echo {version}; cp {input[0]} {output[0]}; ' # append a comment 'echo test > {log.a}' rule rule2: input: testin output: 'dir/a/test.inter' shell: ''' cp {input[0]} {output[0]} ''' rule rule4: input: "test.in" output: "dir/a/test.inter" shell: "cp {input} {output}" # this should be ignored since test.in is present rule rule3: input: "dir/{a}.out" output: "{a}.in" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_convert_to_cwl/test.in000066400000000000000000000000101417574166400223100ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test_converting_path_for_r_script/000077500000000000000000000000001417574166400237305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_converting_path_for_r_script/Snakefile000066400000000000000000000003611417574166400255540ustar00rootroot00000000000000 from pathlib import Path rule all: input: out_file="out-file.txt" rule step1: input: text_file=Path("text-file.txt") params: param_dir=Path("dir") output: out_file=Path("out-file.txt") script: "r-script.R" snakemake-6.15.1/tests/test_converting_path_for_r_script/expected-results/000077500000000000000000000000001417574166400272305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_converting_path_for_r_script/expected-results/.github_touch000066400000000000000000000000001417574166400317030ustar00rootroot00000000000000snakemake-6.15.1/tests/test_converting_path_for_r_script/r-script.R000066400000000000000000000003421417574166400256150ustar00rootroot00000000000000 infile <- snakemake@input[["text_file"]] # Check the read value is as expected in R. param_dir <- snakemake@params[["param_dir"]] stopifnot(param_dir == "dir") outfile <- snakemake@output[["out_file"]] file.create(outfile) snakemake-6.15.1/tests/test_converting_path_for_r_script/text-file.txt000066400000000000000000000000001417574166400263600ustar00rootroot00000000000000snakemake-6.15.1/tests/test_core_dependent_threads/000077500000000000000000000000001417574166400224535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_core_dependent_threads/Snakefile000066400000000000000000000002231417574166400242740ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" threads: workflow.cores * 0.75 shell: "echo {threads} > {output}" snakemake-6.15.1/tests/test_core_dependent_threads/expected-results/000077500000000000000000000000001417574166400257535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_core_dependent_threads/expected-results/test.out000066400000000000000000000000021417574166400274530ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_cwl/000077500000000000000000000000001417574166400165505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cwl/Snakefile000066400000000000000000000003351417574166400203750ustar00rootroot00000000000000rule a: input: input=["test.txt"] output: output="sorted.txt" params: key=["2"] cwl: "https://github.com/common-workflow-language/workflows/raw/master/tools/linux-sort.cwl" snakemake-6.15.1/tests/test_cwl/expected-results/000077500000000000000000000000001417574166400220505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_cwl/expected-results/sorted.txt000066400000000000000000000000141417574166400241040ustar00rootroot00000000000000b 1 a 2 c 3 snakemake-6.15.1/tests/test_cwl/test.txt000066400000000000000000000000141417574166400202630ustar00rootroot00000000000000c 3 a 2 b 1 snakemake-6.15.1/tests/test_default_remote/000077500000000000000000000000001417574166400207625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_remote/Snakefile000066400000000000000000000032721417574166400226120ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test.3.txt", 'test.4.txt', 'test.5.txt', 'test.6.txt' def check_remote(f): if not f.startswith("test-remote-bucket/"): raise ValueError("Input and output are not remote files.") def list_function(wildcards): return ["test.2.txt", "test.txt"] def dict_function(wildcards): return {'a': "test.2.txt", 'b': "test.txt"} rule a: input: "test.txt" output: "{sample}.2.txt" run: check_remote(input[0]) check_remote(output[0]) shell("cp {input} {output}") rule b: input: list_function output: "test.3.txt" run: for e in input: check_remote(e) check_remote(output[0]) shell("cp {input[0]} {output}") rule c: input: **dict_function(None) output: "test.4.txt" run: for e in input: check_remote(e) check_remote(output[0]) shell("cp {input.a} {output}") rule d: input: unpack(dict_function) output: "test.5.txt" run: for e in input: check_remote(e) check_remote(output[0]) shell("cp {input.a} {output}") rule e: input: rules.a.output[0] output: "{sample}.6.txt" run: for e in input: check_remote(e) check_remote(output[0]) shell("cp {input} {output}") # after we finish, we need to remove the pickle storing # the local moto "buckets" so we are starting fresh # next time this test is run. This file is created by # the moto wrapper defined in S3Mocked.py onsuccess: shell("rm ./motoState.p") onerror: shell("rm ./motoState.p") snakemake-6.15.1/tests/test_default_remote/expected-results/000077500000000000000000000000001417574166400242625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_remote/expected-results/.gitignore000066400000000000000000000000001417574166400262400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_remote/test.txt000066400000000000000000000000051417574166400224750ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_default_resources/000077500000000000000000000000001417574166400215015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_resources/Snakefile000066400000000000000000000005161417574166400233270ustar00rootroot00000000000000 rule a: input: "test-remote-bucket/test.in" output: "test.out" group: "test" shell: "[[ '{resources.mem_mb}' == '1000' ]] && touch {output}" rule b: output: "test-remote-bucket/test.in" group: "test" shell: "[[ '{resources.mem_mb}' == '1000' ]] && touch {output}" snakemake-6.15.1/tests/test_default_resources/expected-results/000077500000000000000000000000001417574166400250015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_resources/expected-results/test.out000066400000000000000000000000001417574166400264770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_resources/test.txt000066400000000000000000000000051417574166400232140ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_default_target/000077500000000000000000000000001417574166400207555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_target/Snakefile000066400000000000000000000002601417574166400225770ustar00rootroot00000000000000rule a: output: "{sample}.txt" shell: "echo test > {output}" rule b: input: expand("{sample}.txt", sample=[1, 2]) default_target: Truesnakemake-6.15.1/tests/test_default_target/expected-results/000077500000000000000000000000001417574166400242555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_default_target/expected-results/1.txt000066400000000000000000000000051417574166400251510ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_default_target/expected-results/2.txt000066400000000000000000000000051417574166400251520ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_deferred_func_eval/000077500000000000000000000000001417574166400215655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deferred_func_eval/Snakefile000066400000000000000000000007101417574166400234070ustar00rootroot00000000000000import os shell.executable("bash") def get_mem_gb(wildcards, input): size = 0 if os.path.exists(input[0]): size = int(os.path.getsize(input[0]) / (1024 ** 3)) return max(size, 1) rule a: input: "test1.in", "test2.in" output: "test.out" params: a=lambda wildcards, input, resources: "+".join(input) resources: mem_gb=get_mem_gb shell: "echo {params.a} > {output}" snakemake-6.15.1/tests/test_deferred_func_eval/expected-results/000077500000000000000000000000001417574166400250655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deferred_func_eval/expected-results/test.out000066400000000000000000000000221417574166400265670ustar00rootroot00000000000000test1.in+test2.in snakemake-6.15.1/tests/test_deferred_func_eval/test1.in000066400000000000000000000000001417574166400231430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deferred_func_eval/test2.in000066400000000000000000000000001417574166400231440ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_all_output/000077500000000000000000000000001417574166400214755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_all_output/Snakefile000066400000000000000000000017241417574166400233250ustar00rootroot00000000000000shell.executable("bash") rule all: input: "delete_all_output", "delete_temp_output" output: touch("all_ok") rule delete_all_output: output: touch("delete_all_output") shell: """ echo $PATH ls python -m snakemake --cores 1 -s Snakefile_inner all && \ rm nothere && \ python -m snakemake --cores 1 -s Snakefile_inner --delete-all-output all && \ test -f infile && test ! -f intermediate && test ! -f somedir/final && \ test ! -d empty_dir && test ! -L dangling && test ! -d full_dir """ rule delete_temp_output: output: touch("delete_temp_output") shell: """ python -m snakemake --cores 1 -s Snakefile_inner --notemp temp && \ python -m snakemake --cores 1 -s Snakefile_inner --delete-temp-output temp && \ test -f infile && test ! -f temp_intermediate && \ test ! -d temp_empty_dir && test ! -d temp_full_dir && test -f temp_keep """ snakemake-6.15.1/tests/test_delete_all_output/Snakefile_inner000066400000000000000000000017401417574166400245160ustar00rootroot00000000000000shell.executable("bash") rule all: input: "some_dir/final", "empty_dir", "full_dir" rule a: input: "infile" output: "intermediate", "dangling", touch(protected("protected")) shell: "ln -s {input} {output[0]} && touch nothere && ln -s nothere {output[1]}" rule b: input: "intermediate" output: touch("some_dir/final") rule c: output: directory("empty_dir") shell: "mkdir empty_dir" rule d: output: directory("full_dir") shell: "mkdir full_dir && touch full_dir/somefile" rule e: input: "infile" output: temp("temp_intermediate") shell: "touch {output}" rule f: input: "temp_intermediate" output: directory(temp("temp_empty_dir")) shell: "mkdir temp_empty_dir" rule g: input: "temp_intermediate" output: directory(temp("temp_full_dir")) shell: "mkdir temp_full_dir && touch temp_full_dir/somefile" rule temp: input: "temp_empty_dir", "temp_full_dir" output: touch("temp_keep") snakemake-6.15.1/tests/test_delete_all_output/expected-results/000077500000000000000000000000001417574166400247755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_all_output/expected-results/all_ok000066400000000000000000000000001417574166400261470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_all_output/infile000066400000000000000000000000001417574166400226540ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_output/000077500000000000000000000000001417574166400206455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_output/Snakefile000066400000000000000000000040651417574166400224760ustar00rootroot00000000000000# See bug #300. This tests that output files really are cleaned up # before running a rule, and touched afterwards. # # The output should be deleted before the job starts. # (The output should be deleted on the the head node for cluster jobs.) # The path to the output should be created # The output should be touch'd on the head node to always be new. # # Additionally this should work for directories, symlinks and symlinks # to directories. # # TODO - consider adding a cluster-based test for point 2 above. shell.executable("bash") # Setup - touch a mock input file and an out-of-date output file. shell("touch -t 201604010000 output.file") shell("touch input.file") # An empty directory shell("mkdir -p output.dir ; touch -ch -t 201604010000 output.dir") # A dangling symlink shell("ln -fs nosuchfile output.link ; touch -ch -t 201604010000 output.link") # A symlink to an empty directory shell("mkdir -p an_empty_dir; ln -fs an_empty_dir output.dirlink ; touch -ch -t 201604010000 an_empty_dir output.dirlink") rule main: input: "output.file", "output.dir", "output.link", "output.dirlink" rule make_the_file: output: "output.file", "foo/output.foo.file" input: "input.file" # Rule fails if any output.file is already present run: shell("test ! -e output.file") shell("test -d foo") shell("test ! -e foo/*") shell("touch -t 201604010000 output.file") shell("touch foo/output.foo.file") rule make_the_dir: output: directory("output.dir") input: "input.file" #mkdir fails if the dir is already present run: shell("mkdir output.dir") shell("touch output.dir/foo") rule make_the_links: output: "output.link", directory("output.dirlink") input: "input.file" # Both links should be gone, but an_empty_dir should not have been removed # as it's not a direct target of the rule. run: shell("touch arealfile") shell("ln -s arealfile output.link") shell("test -d an_empty_dir") shell("mkdir empty_dir2") shell("ln -s empty_dir2 output.dirlink") snakemake-6.15.1/tests/test_delete_output/expected-results/000077500000000000000000000000001417574166400241455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_output/expected-results/foo/000077500000000000000000000000001417574166400247305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_output/expected-results/foo/output.foo.file000066400000000000000000000000001417574166400277010ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_output/expected-results/output.file000066400000000000000000000000001417574166400263340ustar00rootroot00000000000000snakemake-6.15.1/tests/test_delete_output/nosuchfile000066400000000000000000000000001417574166400227150ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_hashing/000077500000000000000000000000001417574166400207605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_hashing/Snakefile000066400000000000000000000004061417574166400226040ustar00rootroot00000000000000rule all: input: expand("{s}.txt", s=["a", "b"]) rule a: output: "a.txt" conda: "a.yaml" shell: "touch {output}" rule b: output: "b.txt" conda: "b.yaml" shell: "touch {output}"snakemake-6.15.1/tests/test_deploy_hashing/a.post-deploy.sh000066400000000000000000000000561417574166400240130ustar00rootroot00000000000000#!/bin/bash echo "test" > $CONDA_PREFIX/a.txtsnakemake-6.15.1/tests/test_deploy_hashing/a.yaml000066400000000000000000000001061417574166400220610ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - python =3.10 snakemake-6.15.1/tests/test_deploy_hashing/b.yaml000066400000000000000000000001061417574166400220620ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - python =3.10 snakemake-6.15.1/tests/test_deploy_hashing/expected-results/000077500000000000000000000000001417574166400242605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_hashing/expected-results/a.txt000066400000000000000000000000001417574166400252270ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_hashing/expected-results/b.txt000066400000000000000000000000001417574166400252300ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_script/000077500000000000000000000000001417574166400206435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_script/Snakefile000066400000000000000000000004041417574166400224650ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test.out" rule a: output: "test.out" conda: "test-env.yaml" shell: """ if [ -f $CONDA_PREFIX/test.txt ] ;then touch {output} fi """snakemake-6.15.1/tests/test_deploy_script/expected-results/000077500000000000000000000000001417574166400241435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_script/expected-results/test.out000066400000000000000000000000001417574166400256410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_deploy_script/test-env.post-deploy.sh000066400000000000000000000000511417574166400252160ustar00rootroot00000000000000#!/bin/bash touch $CONDA_PREFIX/test.txtsnakemake-6.15.1/tests/test_deploy_script/test-env.yaml000066400000000000000000000001061417574166400232710ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - python <3.10 snakemake-6.15.1/tests/test_directory/000077500000000000000000000000001417574166400177675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/Snakefile000066400000000000000000000024411417574166400216140ustar00rootroot00000000000000shell.executable("bash") rule downstream: input: "some/dir" output: touch(directory("some/other_dir")) rule normal: input: "input_dir" output: directory("some/dir") shell: "mkdir -p {output} && touch some/dir/some_file" rule symlinked_output: output: directory("symlinked_dir") shell: "mkdir -p dir_to_link_to && ln -s dir_to_link_to symlinked_dir" rule symlinked_input: input: "symlinked_dir" # Check that there is an error if the output isn't a directory rule file_expecting_dir: output: directory("not_a_dir") shell: "touch not_a_dir" # Check that there is an error if an output directory isn't flagged with directory() rule dir_expecting_file: output: "is_a_dir" shell: "mkdir is_a_dir" # Should fail due to being a child to some/dir rule child_to_other: input: "some/other_dir" output: touch("some/dir/child") # Shouldn't fail, even though some/dir is a shared prefix rule not_child_to_other: input: "some/other_dir" output: touch("some/dir-child") # Shouldn't fail since children to inputs are currently allowed. rule child_to_input: input: "input_dir/child" output: touch("child_to_input") rule shadow: input: "some/dir" output: directory("some/shadow") shadow: "shallow" shell: "mkdir -p {output}" snakemake-6.15.1/tests/test_directory/expected-results/000077500000000000000000000000001417574166400232675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/child_to_input000066400000000000000000000000001417574166400262040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/dir_to_link_to/000077500000000000000000000000001417574166400262665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/dir_to_link_to/.snakemake_timestamp000066400000000000000000000000001417574166400322770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/some/000077500000000000000000000000001417574166400242325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/some/dir-child000066400000000000000000000000001417574166400260020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/some/shadow/000077500000000000000000000000001417574166400255175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/some/shadow/.snakemake_timestamp000066400000000000000000000000001417574166400315300ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/some_other_dir/000077500000000000000000000000001417574166400262715ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/expected-results/some_other_dir/.snakemake_timestamp000066400000000000000000000000001417574166400323020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/input_dir/000077500000000000000000000000001417574166400217645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_directory/input_dir/child000066400000000000000000000000001417574166400227600ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dup_out_patterns/000077500000000000000000000000001417574166400213625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dup_out_patterns/Snakefile000066400000000000000000000002551417574166400232100ustar00rootroot00000000000000rule default: input: "out.txt" rule my_rule: output: "{name}.txt", "{name}.txt", shell: r""" touch {output} """ snakemake-6.15.1/tests/test_dup_out_patterns/expected-results/000077500000000000000000000000001417574166400246625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dup_out_patterns/expected-results/.gitkeep000066400000000000000000000000001417574166400263010ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/000077500000000000000000000000001417574166400174075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/Snakefile000066400000000000000000000010661417574166400212360ustar00rootroot00000000000000shell.executable("bash") rule all: input: a=dynamic("test.{n}.{bla}.out"), b=dynamic("test.{n}.{bla}.csv") run: print(input.b) rule inter: input: "test.{n}.{bla}.inter" output: "test.{n}.{bla}.out" shell: "cp {input} {output}" rule dynoutput: input: "test.xy.in" output: dynamic("test.{n}.{bla}.inter") shell: "for i in {{0..2}}; do touch test.0$i.xy.inter; done" rule: input: "test.{n}.{bla}.inter" output: "test.{n}.{bla}.txt" shell: "touch {output}" rule: input: "test.{n}.{bla}.txt" output: "test.{n}.{bla}.csv" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_dynamic/expected-results/000077500000000000000000000000001417574166400227075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/expected-results/test.00.xy.csv000066400000000000000000000000001417574166400252460ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/expected-results/test.00.xy.out000066400000000000000000000000001417574166400252620ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/expected-results/test.01.xy.csv000066400000000000000000000000001417574166400252470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/expected-results/test.01.xy.out000066400000000000000000000000001417574166400252630ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/expected-results/test.02.xy.csv000066400000000000000000000000001417574166400252500ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/expected-results/test.02.xy.out000066400000000000000000000000001417574166400252640ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic/test.xy.in000066400000000000000000000000001417574166400213430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic_temp/000077500000000000000000000000001417574166400204345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic_temp/Snakefile000066400000000000000000000014341417574166400222620ustar00rootroot00000000000000# Snakefile # each input is 8 lines shell.executable("bash") SCRATCH = 'test' rule all: input: 'out.txt' run: if os.listdir('test'): raise ValueError('not all temp files have been deleted') rule gather: input: dynamic('{}/split_1.{{id}}'.format(SCRATCH)), dynamic('{}/split_2.{{id}}'.format(SCRATCH)) output: 'out.txt' shell: 'touch {output}' rule scatter: input: 'test1.txt', 'test2.txt' output: temp(dynamic('{}/split_1.{{id}}'.format(SCRATCH))), temp(dynamic('{}/split_2.{{id}}'.format(SCRATCH))) shell: ('cat {{input[0]}} | head -8 | split -a 4 -l 4 - {}/split_1.; ' 'cat {{input[1]}} | head -8 | split -a 4 -l 4 - {}/split_2.' .format(SCRATCH, SCRATCH)) snakemake-6.15.1/tests/test_dynamic_temp/expected-results/000077500000000000000000000000001417574166400237345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic_temp/expected-results/out.txt000066400000000000000000000000001417574166400252720ustar00rootroot00000000000000snakemake-6.15.1/tests/test_dynamic_temp/test1.txt000066400000000000000000000000201417574166400222250ustar00rootroot000000000000001 2 3 4 5 6 7 8 snakemake-6.15.1/tests/test_dynamic_temp/test2.txt000066400000000000000000000000201417574166400222260ustar00rootroot000000000000001 2 3 4 5 6 7 8 snakemake-6.15.1/tests/test_empty_include/000077500000000000000000000000001417574166400206245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_empty_include/Snakefile000066400000000000000000000000311417574166400224420ustar00rootroot00000000000000include: "include.rules" snakemake-6.15.1/tests/test_empty_include/expected-results/000077500000000000000000000000001417574166400241245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_empty_include/expected-results/.gitignore000066400000000000000000000000001417574166400261020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_empty_include/include.rules000066400000000000000000000000001417574166400233110ustar00rootroot00000000000000snakemake-6.15.1/tests/test_env_modules/000077500000000000000000000000001417574166400203035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_env_modules/Snakefile000066400000000000000000000001671417574166400221330ustar00rootroot00000000000000rule a: output: "test.out" envmodules: "dot" shell: "test-env-modules.sh {output}" snakemake-6.15.1/tests/test_env_modules/expected-results/000077500000000000000000000000001417574166400236035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_env_modules/expected-results/test.out000066400000000000000000000000051417574166400253060ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_env_modules/test-env-modules.sh000077500000000000000000000000171417574166400240530ustar00rootroot00000000000000echo test > $1 snakemake-6.15.1/tests/test_envvars/000077500000000000000000000000001417574166400174475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_envvars/Snakefile000066400000000000000000000004541417574166400212760ustar00rootroot00000000000000shell.executable("bash") envvars: "TEST_ENV_VAR" rule all: input: "test.out", "test2.out" rule a: output: "test.out" shell: "echo $TEST_ENV_VAR > {output}" rule b: output: "test2.out" shell: "echo $TEST_ENV_VAR > {output}" snakemake-6.15.1/tests/test_envvars/expected-results/000077500000000000000000000000001417574166400227475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_envvars/expected-results/test.out000066400000000000000000000000051417574166400244520ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_envvars/expected-results/test2.out000066400000000000000000000000051417574166400245340ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_expand.py000066400000000000000000000045161417574166400176220ustar00rootroot00000000000000from snakemake.io import expand from snakemake.exceptions import WildcardError import pytest def test_simple_expand(): # single filepattern assert expand("{a}.out", a="test") == ["test.out"] # multiple filepatterns assert expand(["{a}.out", "{b}.out"], a="a", b="b") == ["a.out", "b.out"] # multiple wildcards assert expand("{a}.out", a=["1", "2", "3"]) == ["1.out", "2.out", "3.out"] # multiple wildcards and patterns assert expand(["{a}_{b}.ab", "{b}.b"], a="1 2".split(), b="3 4".split()) == [ "1_3.ab", "1_4.ab", "2_3.ab", "2_4.ab", "3.b", "4.b", ] # replace product assert expand(["{a}_{b}.ab", "{b}.b"], zip, a="1 2".split(), b="3 4".split()) == [ "1_3.ab", "2_4.ab", "3.b", "4.b", ] def test_allow_missing(): # single filepattern assert expand("{a}_{b}.out", allow_missing=True) == ["{a}_{b}.out"] assert expand("{a}_{b}.out", a="test", allow_missing=True) == ["test_{b}.out"] # none missing assert expand("{a}.out", a="test", allow_missing=True) == ["test.out"] # wildcard is allow_missing assert expand("{allow_missing}.out", allow_missing=True) == ["True.out"] # allow_missing not True assert expand("{a}.out", a="test", allow_missing="test2") == ["test.out"] with pytest.raises(WildcardError) as e: expand("{a}.out", allow_missing="test2") assert str(e.value) == "No values given for wildcard 'a'." # multiple filepatterns assert expand(["{a}.out", "{b}.out"], allow_missing=True) == ["{a}.out", "{b}.out"] # multiple wildcards assert expand("{a}_{b}.out", a=["1", "2", "3"], allow_missing=True) == [ "1_{b}.out", "2_{b}.out", "3_{b}.out", ] # multiple wildcards and patterns assert expand( ["{a}_{b}_{C}.ab", "{b}_{c}.b"], a="1 2".split(), b="3 4".split(), allow_missing=True, ) == [ "1_3_{C}.ab", "1_4_{C}.ab", "2_3_{C}.ab", "2_4_{C}.ab", "3_{c}.b", "4_{c}.b", ] # replace product assert ( expand( ["{a}_{b}_{C}.ab", "{b}_{c}.b"], zip, a="1 2".split(), b="3 4".split(), allow_missing=True, ) == ["1_3_{C}.ab", "2_4_{C}.ab", "3_{c}.b", "4_{c}.b"] ) snakemake-6.15.1/tests/test_expand_flag/000077500000000000000000000000001417574166400202335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_expand_flag/Snakefile000066400000000000000000000001601417574166400220540ustar00rootroot00000000000000rule a: output: expand(directory("{sample}/dir"), sample=["a"]) shell: "mkdir {output}" snakemake-6.15.1/tests/test_expand_flag/expected-results/000077500000000000000000000000001417574166400235335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_expand_flag/expected-results/.gitignore000066400000000000000000000000001417574166400255110ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filegraph/000077500000000000000000000000001417574166400177245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filegraph/Snakefile000066400000000000000000000007401417574166400215510ustar00rootroot00000000000000import os shell.executable("bash") rule all: input: expand("folder/file_{v1}_{v2}.dat", v1=[1, 2], v2=["a", "b"]), expand("visualization_of_1_a.pdf", v1=[1, 2]) rule data: output: "folder/file_{v1}_{v2}.dat" shell: "touch {output}" rule visualization: input: "folder/file_1_a.dat", lambda x: os.path.join("scripts", "vis.py"), output: "visualization_of_1_a.pdf" shell: "touch {output}" snakemake-6.15.1/tests/test_filegraph/scripts/000077500000000000000000000000001417574166400214135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filegraph/scripts/vis.py000066400000000000000000000000001417574166400225540ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filesep_windows/000077500000000000000000000000001417574166400211645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filesep_windows/Snakefile000066400000000000000000000007111417574166400230070ustar00rootroot00000000000000 #shell.executable("bash") # This tests that snakemake handles input/output # defined with both forward and backwards slashes # on Windows. rule all: input: expand("subfolder\\test{i}.out2", i=range(3)) rule a: output: "subfolder\\test{i}.out" shell: 'echo hello > {output}' rule b: input: "subfolder\\test{i}.out" output: "subfolder/test{i}.out2" shell: "echo world> {output}" snakemake-6.15.1/tests/test_filesep_windows/expected-results/000077500000000000000000000000001417574166400244645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filesep_windows/expected-results/subfolder/000077500000000000000000000000001417574166400264515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filesep_windows/expected-results/subfolder/test2.out2000066400000000000000000000000061417574166400303210ustar00rootroot00000000000000world snakemake-6.15.1/tests/test_filesep_windows/subfolder/000077500000000000000000000000001417574166400231515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_filesep_windows/subfolder/.gitkeep000066400000000000000000000000001417574166400245700ustar00rootroot00000000000000snakemake-6.15.1/tests/test_format_params/000077500000000000000000000000001417574166400206165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_format_params/Snakefile000066400000000000000000000002001417574166400224320ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" params: [1, 2, 3] shell: "echo {params[0]} > {output}" snakemake-6.15.1/tests/test_format_params/expected-results/000077500000000000000000000000001417574166400241165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_format_params/expected-results/test.out000066400000000000000000000000061417574166400256220ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_format_wildcards/000077500000000000000000000000001417574166400213075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_format_wildcards/Snakefile000066400000000000000000000002431417574166400231320ustar00rootroot00000000000000shell.executable("bash") rule all: input: "foo.txt" rule a: output: "{test}.txt" shell: "echo {rule} {wildcards} > {output}" snakemake-6.15.1/tests/test_format_wildcards/expected-results/000077500000000000000000000000001417574166400246075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_format_wildcards/expected-results/foo.txt000066400000000000000000000000131417574166400261250ustar00rootroot00000000000000a test=foo snakemake-6.15.1/tests/test_ftp_immediate_close/000077500000000000000000000000001417574166400217575ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ftp_immediate_close/Snakefile000066400000000000000000000004401417574166400236010ustar00rootroot00000000000000from snakemake.remote.FTP import RemoteProvider FTP = RemoteProvider() rule a: input: FTP.remote("ftp://ftp.sra.ebi.ac.uk/vol1/ERA651/ERA651425/fastq/RAG16_R1.fastq.gz", immediate_close=True) output: "size.txt" run: shell("du -h {input} > {output}") snakemake-6.15.1/tests/test_ftp_immediate_close/expected-results/000077500000000000000000000000001417574166400252575ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ftp_immediate_close/expected-results/size.txt000066400000000000000000000001051417574166400267660ustar00rootroot000000000000009.9M ftp.sra.ebi.ac.uk/vol1/ERA651/ERA651425/fastq/RAG16_R1.fastq.gz snakemake-6.15.1/tests/test_generate_unit_tests/000077500000000000000000000000001417574166400220365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/Snakefile000066400000000000000000000005451417574166400236660ustar00rootroot00000000000000import os rule all: input: expand("test/{sample}.tsv", sample=range(3)) rule a: input: os.environ["UNIT_TEST_TMPFILE"] output: temp("test/{sample}.txt") shell: "touch {output}" rule b: input: "test/{sample}.txt" output: "test/{sample}.tsv" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/000077500000000000000000000000001417574166400253365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/000077500000000000000000000000001417574166400265565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/000077500000000000000000000000001417574166400275355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/a/000077500000000000000000000000001417574166400277555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/a/.gitempty000066400000000000000000000000001417574166400316060ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/all/000077500000000000000000000000001417574166400303055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/all/test/000077500000000000000000000000001417574166400312645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/all/test/0.tsv000066400000000000000000000000001417574166400321470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/all/test/1.tsv000066400000000000000000000000001417574166400321500ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/all/test/2.tsv000066400000000000000000000000001417574166400321510ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/b/000077500000000000000000000000001417574166400277565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/b/test/000077500000000000000000000000001417574166400307355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/b/test/0.txt000066400000000000000000000000001417574166400316230ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/test_a.py000066400000000000000000000014041417574166400313650ustar00rootroot00000000000000import os import sys import subprocess as sp from tempfile import TemporaryDirectory import shutil from pathlib import Path sys.path.insert(0, os.path.dirname(__file__)) import common def test_a(): with TemporaryDirectory() as tmpdir: workdir = Path(tmpdir) / "workdir" data_path = ".tests/unit/a/data" expected_path = ".tests/unit/a/expected" # copy data to the temporary workdir shutil.copytree(data_path, workdir) # run the test job sp.check_output([ "snakemake", "test/0.txt", "-F", "-j1", "--directory", workdir, ]) # check the output common.OutputChecker(data_path, expected_path, workdir).check() snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/test_all.py000066400000000000000000000014031417574166400317140ustar00rootroot00000000000000import os import sys import subprocess as sp from tempfile import TemporaryDirectory import shutil from pathlib import Path sys.path.insert(0, os.path.dirname(__file__)) import common def test_all(): with TemporaryDirectory() as tmpdir: workdir = Path(tmpdir) / "workdir" data_path = ".tests/unit/all/data" expected_path = ".tests/unit/all/expected" # copy data to the temporary workdir shutil.copytree(data_path, workdir) # run the test job sp.check_output([ "snakemake", "all", "-F", "-j1", "--directory", workdir, ]) # check the output common.OutputChecker(data_path, expected_path, workdir).check() snakemake-6.15.1/tests/test_generate_unit_tests/expected-results/.tests/unit/test_b.py000066400000000000000000000014041417574166400313660ustar00rootroot00000000000000import os import sys import subprocess as sp from tempfile import TemporaryDirectory import shutil from pathlib import Path sys.path.insert(0, os.path.dirname(__file__)) import common def test_b(): with TemporaryDirectory() as tmpdir: workdir = Path(tmpdir) / "workdir" data_path = ".tests/unit/b/data" expected_path = ".tests/unit/b/expected" # copy data to the temporary workdir shutil.copytree(data_path, workdir) # run the test job sp.check_output([ "snakemake", "test/0.tsv", "-F", "-j1", "--directory", workdir, ]) # check the output common.OutputChecker(data_path, expected_path, workdir).check() snakemake-6.15.1/tests/test_generate_unit_tests/test/000077500000000000000000000000001417574166400230155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/test/0.tsv000066400000000000000000000000001417574166400237000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/test/0.txt000066400000000000000000000000001417574166400237030ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/test/1.tsv000066400000000000000000000000001417574166400237010ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/test/1.txt000066400000000000000000000000001417574166400237040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/test/2.tsv000066400000000000000000000000001417574166400237020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_generate_unit_tests/test/2.txt000066400000000000000000000000001417574166400237050ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_both/000077500000000000000000000000001417574166400204175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_both/Snakefile000066400000000000000000000001571417574166400222460ustar00rootroot00000000000000rule: input: "test.in" output: "test.out" log: "test.log" wrapper: 'file://wrapper.py' snakemake-6.15.1/tests/test_get_log_both/expected-results/000077500000000000000000000000001417574166400237175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_both/expected-results/test.log000066400000000000000000000000421417574166400253750ustar00rootroot00000000000000a stderr message a stdout message snakemake-6.15.1/tests/test_get_log_both/expected-results/test.out000066400000000000000000000000101417574166400254160ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_both/test.in000066400000000000000000000000101417574166400217150ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_both/wrapper.py000066400000000000000000000004031417574166400224460ustar00rootroot00000000000000from snakemake.shell import shell shell.executable("bash") log = snakemake.log_fmt_shell(append=True) shell( """ cat {snakemake.input} > {snakemake.output} (>&2 echo "a stderr message") {log} (echo "a stdout message") {log} """ ) snakemake-6.15.1/tests/test_get_log_complex/000077500000000000000000000000001417574166400211325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_complex/Snakefile000066400000000000000000000001571417574166400227610ustar00rootroot00000000000000rule: input: "test.in" output: "test.out" log: "test.log" wrapper: 'file://wrapper.py' snakemake-6.15.1/tests/test_get_log_complex/expected-results/000077500000000000000000000000001417574166400244325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_complex/expected-results/test.log000066400000000000000000000000551417574166400261140ustar00rootroot00000000000000first line a stderr message a stdout message snakemake-6.15.1/tests/test_get_log_complex/expected-results/test.out000066400000000000000000000000101417574166400261310ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_complex/test.in000066400000000000000000000000101417574166400224300ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_complex/wrapper.py000066400000000000000000000007721417574166400231720ustar00rootroot00000000000000from snakemake.shell import shell shell.executable("bash") initial_log = snakemake.log_fmt_shell() stdout_log = snakemake.log_fmt_shell(stderr=False, append=True) stderr_log = snakemake.log_fmt_shell(stdout=False, append=True) shell( """ cat {snakemake.input} > {snakemake.output} echo "should not appear since next line truncates" {initial_log} echo "first line" {initial_log} (>&2 echo "a stderr message") {stderr_log} (echo "a stdout message") {stdout_log} """ ) snakemake-6.15.1/tests/test_get_log_none/000077500000000000000000000000001417574166400204225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_none/Snakefile000066400000000000000000000001311417574166400222410ustar00rootroot00000000000000rule: input: "test.in" output: "test.out" wrapper: 'file:wrapper.py' snakemake-6.15.1/tests/test_get_log_none/expected-results/000077500000000000000000000000001417574166400237225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_none/expected-results/test.out000066400000000000000000000000101417574166400254210ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_none/test.in000066400000000000000000000000101417574166400217200ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_none/wrapper.py000066400000000000000000000003531417574166400224550ustar00rootroot00000000000000from snakemake.shell import shell log = snakemake.log_fmt_shell(stdout=False) shell( """ cat {snakemake.input} > {snakemake.output} (>&2 echo "a stderr message") {log} (echo "a stdout message") {log} """ ) snakemake-6.15.1/tests/test_get_log_stderr/000077500000000000000000000000001417574166400207665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_stderr/Snakefile000066400000000000000000000001571417574166400226150ustar00rootroot00000000000000rule: input: "test.in" output: "test.out" log: "test.log" wrapper: 'file://wrapper.py' snakemake-6.15.1/tests/test_get_log_stderr/expected-results/000077500000000000000000000000001417574166400242665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_stderr/expected-results/test.log000066400000000000000000000000211417574166400257410ustar00rootroot00000000000000a stderr message snakemake-6.15.1/tests/test_get_log_stderr/expected-results/test.out000066400000000000000000000000101417574166400257650ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_stderr/test.in000066400000000000000000000000101417574166400222640ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_stderr/wrapper.py000066400000000000000000000004201417574166400230140ustar00rootroot00000000000000from snakemake.shell import shell shell.executable("bash") log = snakemake.log_fmt_shell(stdout=False, append=True) shell( """ cat {snakemake.input} > {snakemake.output} (>&2 echo "a stderr message") {log} (echo "a stdout message") {log} """ ) snakemake-6.15.1/tests/test_get_log_stdout/000077500000000000000000000000001417574166400210055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_stdout/Snakefile000066400000000000000000000001571417574166400226340ustar00rootroot00000000000000rule: input: "test.in" output: "test.out" log: "test.log" wrapper: 'file://wrapper.py' snakemake-6.15.1/tests/test_get_log_stdout/expected-results/000077500000000000000000000000001417574166400243055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_get_log_stdout/expected-results/test.log000066400000000000000000000000211417574166400257600ustar00rootroot00000000000000a stdout message snakemake-6.15.1/tests/test_get_log_stdout/expected-results/test.out000066400000000000000000000000101417574166400260040ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_stdout/test.in000066400000000000000000000000101417574166400223030ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_get_log_stdout/wrapper.py000066400000000000000000000004201417574166400230330ustar00rootroot00000000000000from snakemake.shell import shell shell.executable("bash") log = snakemake.log_fmt_shell(stderr=False, append=True) shell( """ cat {snakemake.input} > {snakemake.output} (>&2 echo "a stderr message") {log} (echo "a stdout message") {log} """ ) snakemake-6.15.1/tests/test_github_issue105/000077500000000000000000000000001417574166400207035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue105/Snakefile000066400000000000000000000005611417574166400225310ustar00rootroot00000000000000rule all: input: "b.txt" checkpoint a: output: "a.txt" shell: "touch {output}" def aggregate(wildcards): # files = {'inp1': "Snakefile"} files = {'inp1': checkpoints.a.get(**wildcards).output[0]} return files rule b: input: unpack(aggregate) output: "b.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_github_issue105/expected-results/000077500000000000000000000000001417574166400242035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue105/expected-results/a.txt000066400000000000000000000000001417574166400251520ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue105/expected-results/b.txt000066400000000000000000000000001417574166400251530ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1062/000077500000000000000000000000001417574166400207665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1062/Snakefile000066400000000000000000000006121417574166400226110ustar00rootroot00000000000000from snakemake.remote.FTP import RemoteProvider as FTPRemoteProvider FTP = FTPRemoteProvider() rule all: input: "robots.txt" FTP_URL = \ "ftp://ftp.ensembl.org/robots.txt" rule get_fasta_ftp: input: FTP.remote(FTP_URL, keep_local=True) output: "robots.txt" shell: "mv {input:q} {output:q}" snakemake-6.15.1/tests/test_github_issue1062/expected-results/000077500000000000000000000000001417574166400242665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1062/expected-results/.gitkeep000066400000000000000000000000001417574166400257050ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1069/000077500000000000000000000000001417574166400207755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1069/Snakefile000066400000000000000000000001131417574166400226140ustar00rootroot00000000000000rule a: output: "test.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_github_issue1069/expected-results/000077500000000000000000000000001417574166400242755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1069/expected-results/.gitkeep000066400000000000000000000000001417574166400257140ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1158/000077500000000000000000000000001417574166400207745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1158/Snakefile000066400000000000000000000000741417574166400226210ustar00rootroot00000000000000rule Test: output: "output" shell: "touch {output}" snakemake-6.15.1/tests/test_github_issue1158/expected-results/000077500000000000000000000000001417574166400242745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1158/expected-results/output000066400000000000000000000000001417574166400255450ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue1158/qsub.py000077500000000000000000000006521417574166400223260ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random import re jobscript = sys.argv[1] os.system("strace -f -o trace {}".format(jobscript)) with open("trace", "r") as fp: lines = fp.readlines() regex = re.compile('.*openat\(.*.snakemake/incomplete".*') matches = list(filter(lambda l: regex.match(l), lines)) if len(matches) > 0: sys.stderr.write(repr(matches)) sys.exit(1) print(random.randint(1, 100)) snakemake-6.15.1/tests/test_github_issue413/000077500000000000000000000000001417574166400207055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/Snakefile000066400000000000000000000012541417574166400225330ustar00rootroot00000000000000""" Issue 413: When an output file was a link to a previous output, AND the output link already exists, there would be a false ChildIOException thrown. So test.txt and test.link already exist and we have a third output to trigger a build """ rule all: input: "test_dir/other_file" rule make_test_dir_and_test_file: output: directory("test_dir/subdir"), shell: """ mkdir -p {output[0]}/ echo "test" > {output[0]}/test_file """ rule make_other_file: input: "test_dir/subdir" output: "test_dir/other_file" shell: """ ln -s subdir/test_file {output[0]} """ snakemake-6.15.1/tests/test_github_issue413/expected-results/000077500000000000000000000000001417574166400242055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/expected-results/test_dir/000077500000000000000000000000001417574166400260225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/expected-results/test_dir/other_file000077700000000000000000000000001417574166400332512subdir/test_fileustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/expected-results/test_dir/subdir/000077500000000000000000000000001417574166400273125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/expected-results/test_dir/subdir/test_file000066400000000000000000000000051417574166400312060ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_github_issue413/test_dir/000077500000000000000000000000001417574166400225225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/test_dir/other_file000077700000000000000000000000001417574166400277512subdir/test_fileustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/test_dir/subdir/000077500000000000000000000000001417574166400240125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue413/test_dir/subdir/test_file000066400000000000000000000000051417574166400257060ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_github_issue456/000077500000000000000000000000001417574166400207145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue456/Snakefile000066400000000000000000000002461417574166400225420ustar00rootroot00000000000000shell.executable("bash") rule all: input: gff_dir='references/gffs/' output: test_file='test.txt' shell: "echo b0rk > {output.test_file}" snakemake-6.15.1/tests/test_github_issue456/expected-results/000077500000000000000000000000001417574166400242145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue456/expected-results/test.txt000066400000000000000000000000051417574166400257270ustar00rootroot00000000000000b0rk snakemake-6.15.1/tests/test_github_issue456/references/000077500000000000000000000000001417574166400230355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue456/references/gffs/000077500000000000000000000000001417574166400237625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue456/references/gffs/test.gff000066400000000000000000000000001417574166400254130ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue52/000077500000000000000000000000001417574166400206245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue52/B000066400000000000000000000000001417574166400207160ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue52/Snakefile000066400000000000000000000004271417574166400224530ustar00rootroot00000000000000shell.executable("bash") rule All: input: "C" rule A: output: "outputA/A1", "outputA/A2", directory("outputA") shell: "mkdir -p outputA; touch outputA/A1; touch outputA/A2" rule C: input: test="outputA/A1", testb="B" output: "C" shell: "cp {input.test} C" snakemake-6.15.1/tests/test_github_issue52/expected-results/000077500000000000000000000000001417574166400241245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue52/expected-results/.gitkeep000066400000000000000000000000001417574166400255430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue52/other.smk000066400000000000000000000005321417574166400224610ustar00rootroot00000000000000shell.executable("bash") rule All: input: "C" rule A: output: "outputA/A1", "outputA/A2", directory("outputA") shell: "mkdir -p outputA; touch outputA/A1; touch outputA/A2" rule B: input: "outputA" output: "B" shell: "touch B" rule C: input: test="outputA/A1", testb="B" output: "C" shell: "cp {input.test} C" snakemake-6.15.1/tests/test_github_issue627/000077500000000000000000000000001417574166400207145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue627/Snakefile000066400000000000000000000006521417574166400225430ustar00rootroot00000000000000rule: shell: """ set +e python -m snakemake --cores 1 -p --profile . -s Snakefile.internal RETVAL=$? set -e if [ "$RETVAL" == 0 ]; then echo "Snakemake did not correctly discover that the job failed" exit 1 fi if [ -f "./job.txt" ]; then echo "Output file of failed job exists" exit 1 fi """ snakemake-6.15.1/tests/test_github_issue627/Snakefile.internal000066400000000000000000000000721417574166400243520ustar00rootroot00000000000000rule: output: "job.txt" shell: "./job.py" snakemake-6.15.1/tests/test_github_issue627/config.yaml000066400000000000000000000001041417574166400230400ustar00rootroot00000000000000cluster: "./run_locally.sh" cluster-status: "./local_job_status.sh" snakemake-6.15.1/tests/test_github_issue627/expected-results/000077500000000000000000000000001417574166400242145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue627/expected-results/.gitkeep000066400000000000000000000000001417574166400256330ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue627/job.py000077500000000000000000000002271417574166400220440ustar00rootroot00000000000000#!/usr/bin/env python import time file = open("job.txt", "w") for i in range(300): file.write(str(i) + "\n") file.flush() time.sleep(1) snakemake-6.15.1/tests/test_github_issue627/local_job_status.sh000077500000000000000000000001771417574166400246070ustar00rootroot00000000000000#!/bin/bash STATUS=$(ps aux | awk '{print $2}' | grep "$1") if [ -z "$STATUS" ]; then echo "failed" else echo "running" fisnakemake-6.15.1/tests/test_github_issue627/run_locally.sh000077500000000000000000000002211417574166400235710ustar00rootroot00000000000000#!/bin/bash PID=$(bash -c "setsid $1 > /dev/null 2>&1 & echo \"\$!\"") echo "$PID" bash -c "sleep 2; kill -SIGKILL \"$PID\"" > /dev/null 2>&1 &snakemake-6.15.1/tests/test_github_issue640/000077500000000000000000000000001417574166400207075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue640/Snakefile000066400000000000000000000003311417574166400225300ustar00rootroot00000000000000import subprocess try: shell("./setup.sh") except subprocess.CalledProcessError: pass rule all: input: 'Input/{file}' output: 'Output/{file}' shell: 'cp {input} {output}' snakemake-6.15.1/tests/test_github_issue640/expected-results/000077500000000000000000000000001417574166400242075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue640/expected-results/.gitignore000066400000000000000000000000001417574166400261650ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue640/setup.sh000077500000000000000000000004721417574166400224110ustar00rootroot00000000000000#!/bin/bash mkdir -p DistantDir/WithOUTRights mkdir -p DistantDir/WithRights touch DistantDir/WithOUTRights/File touch DistantDir/WithRights/File chmod 000 DistantDir/WithOUTRights/ mkdir Input ln -s ../DistantDir/WithOUTRights/File Input/FileWithOUTRights ln -s ../DistantDir/WithRights/File Input/FileWithRights snakemake-6.15.1/tests/test_github_issue727/000077500000000000000000000000001417574166400207155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/Snakefile000066400000000000000000000033411417574166400225420ustar00rootroot00000000000000INPUT_FILE = 'Snakefile' OUTPUT_ROOT = 'checkpoint-test' BINS_DIR = Path(OUTPUT_ROOT) / 'bins' BIN_DIR_TEMPLATE = BINS_DIR / '{bin_id}' BIN_FILE_TEMPLATE = BINS_DIR / '{bin_id}' / 'read_list.txt' BIN_FILE2_TEMPLATE = OUTPUT_ROOT + '.bin.{bin_id}.clust.info.csv' rule all: input: OUTPUT_ROOT + '.final_file' rule rule1: input: INPUT_FILE output: OUTPUT_ROOT + '.file1' shell: 'touch {output}' checkpoint checkpoint1: " defines some bins " input: OUTPUT_ROOT + '.file1' output: bins_dir=directory(BINS_DIR) run: # 20 bins for bin_id in range(1,20): # create bin specific subdir of BINS_DIR bin_dir = str(BIN_DIR_TEMPLATE).format(bin_id=bin_id) os.makedirs(bin_dir, exist_ok=True) # create a bin specific output file rlist_fn = str(BIN_FILE_TEMPLATE).format(bin_id=bin_id) with open(rlist_fn, 'w') as fh: fh.write(str(bin_id) + '\n') def expand_template_from_bins(wildcards, template): # get dir through checkpoints to throw Exception if checkpoint is pending checkpoint_dir = checkpoints.checkpoint1.get(**wildcards).output # get bins from files bins, = glob_wildcards(BIN_FILE_TEMPLATE) # expand template return expand(str(template), bin_id=bins) # the second input is key here rule rule2: input: bin_file=BIN_FILE_TEMPLATE, other=OUTPUT_ROOT + '.file1' output: BIN_FILE2_TEMPLATE shell: 'touch {output}' rule final_rule: """ access all bin files """ input: lambda w: expand_template_from_bins(w, BIN_FILE2_TEMPLATE) output: OUTPUT_ROOT + '.final_file' shell: 'touch {output}' snakemake-6.15.1/tests/test_github_issue727/expected-results/000077500000000000000000000000001417574166400242155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.1.clust.info.csv000066400000000000000000000000001417574166400330150ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.10.clust.info.csv000066400000000000000000000000001417574166400330750ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.11.clust.info.csv000066400000000000000000000000001417574166400330760ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.12.clust.info.csv000066400000000000000000000000001417574166400330770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.13.clust.info.csv000066400000000000000000000000001417574166400331000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.14.clust.info.csv000066400000000000000000000000001417574166400331010ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.15.clust.info.csv000066400000000000000000000000001417574166400331020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.16.clust.info.csv000066400000000000000000000000001417574166400331030ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.17.clust.info.csv000066400000000000000000000000001417574166400331040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.18.clust.info.csv000066400000000000000000000000001417574166400331050ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.19.clust.info.csv000066400000000000000000000000001417574166400331060ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.2.clust.info.csv000066400000000000000000000000001417574166400330160ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.3.clust.info.csv000066400000000000000000000000001417574166400330170ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.4.clust.info.csv000066400000000000000000000000001417574166400330200ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.5.clust.info.csv000066400000000000000000000000001417574166400330210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.6.clust.info.csv000066400000000000000000000000001417574166400330220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.7.clust.info.csv000066400000000000000000000000001417574166400330230ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.8.clust.info.csv000066400000000000000000000000001417574166400330240ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.bin.9.clust.info.csv000066400000000000000000000000001417574166400330250ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.file1000066400000000000000000000000001417574166400302310ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test.final_file000066400000000000000000000000001417574166400313210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/000077500000000000000000000000001417574166400273215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/000077500000000000000000000000001417574166400302545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/1/000077500000000000000000000000001417574166400304145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/1/read_list.txt000066400000000000000000000000021417574166400331130ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/10/000077500000000000000000000000001417574166400304745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/10/read_list.txt000066400000000000000000000000031417574166400331740ustar00rootroot0000000000000010 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/11/000077500000000000000000000000001417574166400304755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/11/read_list.txt000066400000000000000000000000031417574166400331750ustar00rootroot0000000000000011 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/12/000077500000000000000000000000001417574166400304765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/12/read_list.txt000066400000000000000000000000031417574166400331760ustar00rootroot0000000000000012 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/13/000077500000000000000000000000001417574166400304775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/13/read_list.txt000066400000000000000000000000031417574166400331770ustar00rootroot0000000000000013 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/14/000077500000000000000000000000001417574166400305005ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/14/read_list.txt000066400000000000000000000000031417574166400332000ustar00rootroot0000000000000014 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/15/000077500000000000000000000000001417574166400305015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/15/read_list.txt000066400000000000000000000000031417574166400332010ustar00rootroot0000000000000015 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/16/000077500000000000000000000000001417574166400305025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/16/read_list.txt000066400000000000000000000000031417574166400332020ustar00rootroot0000000000000016 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/17/000077500000000000000000000000001417574166400305035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/17/read_list.txt000066400000000000000000000000031417574166400332030ustar00rootroot0000000000000017 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/18/000077500000000000000000000000001417574166400305045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/18/read_list.txt000066400000000000000000000000031417574166400332040ustar00rootroot0000000000000018 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/19/000077500000000000000000000000001417574166400305055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/19/read_list.txt000066400000000000000000000000031417574166400332050ustar00rootroot0000000000000019 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/2/000077500000000000000000000000001417574166400304155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/2/read_list.txt000066400000000000000000000000021417574166400331140ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/3/000077500000000000000000000000001417574166400304165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/3/read_list.txt000066400000000000000000000000021417574166400331150ustar00rootroot000000000000003 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/4/000077500000000000000000000000001417574166400304175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/4/read_list.txt000066400000000000000000000000021417574166400331160ustar00rootroot000000000000004 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/5/000077500000000000000000000000001417574166400304205ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/5/read_list.txt000066400000000000000000000000021417574166400331170ustar00rootroot000000000000005 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/6/000077500000000000000000000000001417574166400304215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/6/read_list.txt000066400000000000000000000000021417574166400331200ustar00rootroot000000000000006 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/7/000077500000000000000000000000001417574166400304225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/7/read_list.txt000066400000000000000000000000021417574166400331210ustar00rootroot000000000000007 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/8/000077500000000000000000000000001417574166400304235ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/8/read_list.txt000066400000000000000000000000021417574166400331220ustar00rootroot000000000000008 snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/9/000077500000000000000000000000001417574166400304245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue727/expected-results/checkpoint-test/bins/9/read_list.txt000066400000000000000000000000021417574166400331230ustar00rootroot000000000000009 snakemake-6.15.1/tests/test_github_issue78/000077500000000000000000000000001417574166400206345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue78/Snakefile000066400000000000000000000015111417574166400224560ustar00rootroot00000000000000rule all: input: "test.out" rule singularity_ok: input: "test_a.out", "test_b.out", "test_c.out" output: touch("test.out") shell: """ test ! -f junk_a.out test ! -f junk_b.out test ! -f junk_c.out """ rule a: output: "test_a.out" singularity: "docker://bash" shadow: "minimal" shell: 'echo 1 > junk_a.out; echo "test" > {output}' rule b: output: "test_b.out" shadow: "minimal" shell: 'echo 1 > junk_b.out; echo "test" > {output}' rule c: output: "test_c.out" shadow: "minimal" run: with open(output[0], 'w') as fp: print("test", file=fp) with open('junk_c.out', 'w') as fp: print("junk", file=fp) snakemake-6.15.1/tests/test_github_issue78/expected-results/000077500000000000000000000000001417574166400241345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue78/expected-results/test.out000066400000000000000000000000001417574166400256320ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue78/expected-results/test_a.out000066400000000000000000000000051417574166400261370ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_github_issue78/expected-results/test_b.out000066400000000000000000000000051417574166400261400ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_github_issue78/expected-results/test_c.out000066400000000000000000000000051417574166400261410ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_github_issue806/000077500000000000000000000000001417574166400207135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/Snakefile000066400000000000000000000046261417574166400225470ustar00rootroot00000000000000shell.executable("bash") from itertools import product src_lang = config['src_lang'] trg_lang = config['trg_lang'] rule all: input: "data/corpus.txt", f"data/batches.{src_lang}", f"data/batches.{trg_lang}" checkpoint shard: output: "data/batches.{lang}" shell: ''' for i in $(seq 0 $(( 2 % 5 + 1))); do # 0 .. 3 -> 4 for j in $(seq 0 $(( 1 % 2 + 1))); do # 0 .. 2 -> 3 mkdir -p data/{wildcards.lang}/$i/$j echo 'hello {wildcards.lang}' > data/{wildcards.lang}/$i/$j/text if [[ "{wildcards.lang}" == "{src_lang}" ]]; then sleep 1 else sleep 1.5 fi done done ls -d data/{wildcards.lang}/*/* > {output} ''' rule combine: input: l1='data/{src_lang}/{shard}/{src_batch}/text', l2='data/{trg_lang}/{shard}/{trg_batch}/text' output: 'data/{src_lang}_{trg_lang}/{shard}.{src_batch}_{trg_batch}.combined' shell: ''' paste {input.l1} {input.l2} > {output} ''' def get_batches_pairs(src_lang, trg_lang): src_batches = [] trg_batches = [] with checkpoints.shard.get(lang=src_lang).output[0].open() as src_f, \ checkpoints.shard.get(lang=trg_lang).output[0].open() as trg_f: for line in src_f: src_batches.append(line.strip().split('/')[-2:]) for line in trg_f: trg_batches.append(line.strip().split('/')[-2:]) iterator = product(src_batches, trg_batches) return [(src_shard, (src_batch, trg_batch)) for ((src_shard, src_batch), (trg_shard, trg_batch)) in iterator if src_shard == trg_shard] rule corpus: input: lambda wildcards: [f'data/{src_lang}_{trg_lang}/{shard}.{src_batch}_{trg_batch}.combined' for (shard, (src_batch, trg_batch)) in get_batches_pairs(src_lang, trg_lang)] output: 'data/corpus.txt' shell: ''' cat {input} > {output} ''' snakemake-6.15.1/tests/test_github_issue806/expected-results/000077500000000000000000000000001417574166400242135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/000077500000000000000000000000001417574166400251245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/batches.en000066400000000000000000000002201417574166400270530ustar00rootroot00000000000000data/en/0/0 data/en/0/1 data/en/0/2 data/en/1/0 data/en/1/1 data/en/1/2 data/en/2/0 data/en/2/1 data/en/2/2 data/en/3/0 data/en/3/1 data/en/3/2 snakemake-6.15.1/tests/test_github_issue806/expected-results/data/batches.es000066400000000000000000000002201417574166400270600ustar00rootroot00000000000000data/es/0/0 data/es/0/1 data/es/0/2 data/es/1/0 data/es/1/1 data/es/1/2 data/es/2/0 data/es/2/1 data/es/2/2 data/es/3/0 data/es/3/1 data/es/3/2 snakemake-6.15.1/tests/test_github_issue806/expected-results/data/corpus.txt000066400000000000000000000012101417574166400271720ustar00rootroot00000000000000hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/000077500000000000000000000000001417574166400255265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/000077500000000000000000000000001417574166400256655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/0/000077500000000000000000000000001417574166400260245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/0/text000066400000000000000000000000111417574166400267230ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/1/000077500000000000000000000000001417574166400260255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/1/text000066400000000000000000000000111417574166400267240ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/2/000077500000000000000000000000001417574166400260265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/0/2/text000066400000000000000000000000111417574166400267250ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/000077500000000000000000000000001417574166400256665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/0/000077500000000000000000000000001417574166400260255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/0/text000066400000000000000000000000111417574166400267240ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/1/000077500000000000000000000000001417574166400260265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/1/text000066400000000000000000000000111417574166400267250ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/2/000077500000000000000000000000001417574166400260275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/1/2/text000066400000000000000000000000111417574166400267260ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/000077500000000000000000000000001417574166400256675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/0/000077500000000000000000000000001417574166400260265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/0/text000066400000000000000000000000111417574166400267250ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/1/000077500000000000000000000000001417574166400260275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/1/text000066400000000000000000000000111417574166400267260ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/2/000077500000000000000000000000001417574166400260305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/2/2/text000066400000000000000000000000111417574166400267270ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/000077500000000000000000000000001417574166400256705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/0/000077500000000000000000000000001417574166400260275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/0/text000066400000000000000000000000111417574166400267260ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/1/000077500000000000000000000000001417574166400260305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/1/text000066400000000000000000000000111417574166400267270ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/2/000077500000000000000000000000001417574166400260315ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/en/3/2/text000066400000000000000000000000111417574166400267300ustar00rootroot00000000000000hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/000077500000000000000000000000001417574166400255335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/000077500000000000000000000000001417574166400256725ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/0/000077500000000000000000000000001417574166400260315ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/0/text000066400000000000000000000000111417574166400267300ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/1/000077500000000000000000000000001417574166400260325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/1/text000066400000000000000000000000111417574166400267310ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/2/000077500000000000000000000000001417574166400260335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/0/2/text000066400000000000000000000000111417574166400267320ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/000077500000000000000000000000001417574166400256735ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/0/000077500000000000000000000000001417574166400260325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/0/text000066400000000000000000000000111417574166400267310ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/1/000077500000000000000000000000001417574166400260335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/1/text000066400000000000000000000000111417574166400267320ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/2/000077500000000000000000000000001417574166400260345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/1/2/text000066400000000000000000000000111417574166400267330ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/000077500000000000000000000000001417574166400256745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/0/000077500000000000000000000000001417574166400260335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/0/text000066400000000000000000000000111417574166400267320ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/1/000077500000000000000000000000001417574166400260345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/1/text000066400000000000000000000000111417574166400267330ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/2/000077500000000000000000000000001417574166400260355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/2/2/text000066400000000000000000000000111417574166400267340ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/000077500000000000000000000000001417574166400256755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/0/000077500000000000000000000000001417574166400260345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/0/text000066400000000000000000000000111417574166400267330ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/1/000077500000000000000000000000001417574166400260355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/1/text000066400000000000000000000000111417574166400267340ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/2/000077500000000000000000000000001417574166400260365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es/3/2/text000066400000000000000000000000111417574166400267350ustar00rootroot00000000000000hello es snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/000077500000000000000000000000001417574166400262155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.0_0.combined000066400000000000000000000000221417574166400304250ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.0_1.combined000066400000000000000000000000221417574166400304260ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.0_2.combined000066400000000000000000000000221417574166400304270ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.1_0.combined000066400000000000000000000000221417574166400304260ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.1_1.combined000066400000000000000000000000221417574166400304270ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.1_2.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.2_0.combined000066400000000000000000000000221417574166400304270ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.2_1.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/0.2_2.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.0_0.combined000066400000000000000000000000221417574166400304260ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.0_1.combined000066400000000000000000000000221417574166400304270ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.0_2.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.1_0.combined000066400000000000000000000000221417574166400304270ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.1_1.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.1_2.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.2_0.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.2_1.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/1.2_2.combined000066400000000000000000000000221417574166400304320ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.0_0.combined000066400000000000000000000000221417574166400304270ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.0_1.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.0_2.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.1_0.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.1_1.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.1_2.combined000066400000000000000000000000221417574166400304320ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.2_0.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.2_1.combined000066400000000000000000000000221417574166400304320ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/2.2_2.combined000066400000000000000000000000221417574166400304330ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.0_0.combined000066400000000000000000000000221417574166400304300ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.0_1.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.0_2.combined000066400000000000000000000000221417574166400304320ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.1_0.combined000066400000000000000000000000221417574166400304310ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.1_1.combined000066400000000000000000000000221417574166400304320ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.1_2.combined000066400000000000000000000000221417574166400304330ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.2_0.combined000066400000000000000000000000221417574166400304320ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.2_1.combined000066400000000000000000000000221417574166400304330ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue806/expected-results/data/es_en/3.2_2.combined000066400000000000000000000000221417574166400304340ustar00rootroot00000000000000hello es hello en snakemake-6.15.1/tests/test_github_issue988/000077500000000000000000000000001417574166400207265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue988/Snakefile000066400000000000000000000026151417574166400225560ustar00rootroot00000000000000""" A test case for this bug """ n_files = 4 rule all: input: faa='all.faa', fasta='all.fasta' checkpoint make_files: output: files=directory('files') run: os.makedirs(output.files) for i in range(n_files): filename = f'{output.files}/f{i}.fasta' with open(filename, 'wt') as fasta_out: fasta_out.write('>blank\nACTGACTG\n') def get_report_files(wildcards): " get the names of the faa files to be created " files_dir = checkpoints.make_files.get().output.files files, = glob_wildcards(f'{files_dir}/{{file}}.fasta') return expand(f'{files_dir}/{{file}}.txt', file=files) rule pattern: input: "{any_file}.fasta" output: "{any_file}.faa" shell: "cp {input} {output}" rule multiple: """ in my original example, compiled a bunch of sets of report, fasta and faa files into a master file of each type. only the reports were the actual inputs. Neitheer the fasta or faa were listed """ input: reports=get_report_files output: fasta='all.fasta', faa='all.faa' shell: "touch {output}" rule report: input: "f{n}.faa" output: "f{n}.txt" shell: "wc {input} > {output}" rule make_fasta: " just create a placehlder" output: "f{n}.fasta" shell: "echo {wildcards.n} > {output}" snakemake-6.15.1/tests/test_github_issue988/expected-results/000077500000000000000000000000001417574166400242265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue988/expected-results/all.faa000066400000000000000000000000001417574166400254350ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue988/expected-results/all.fasta000066400000000000000000000000001417574166400260040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue988/expected-results/files/000077500000000000000000000000001417574166400253305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue988/expected-results/files/.snakemake_timestamp000066400000000000000000000000001417574166400313410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f0.faa000066400000000000000000000000201417574166400262760ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f0.fasta000066400000000000000000000000201417574166400266450ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f0.txt000066400000000000000000000000261417574166400263740ustar00rootroot00000000000000 2 2 16 files/f0.faa snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f1.faa000066400000000000000000000000201417574166400262770ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f1.fasta000066400000000000000000000000201417574166400266460ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f1.txt000066400000000000000000000000261417574166400263750ustar00rootroot00000000000000 2 2 16 files/f1.faa snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f2.faa000066400000000000000000000000201417574166400263000ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f2.fasta000066400000000000000000000000201417574166400266470ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f2.txt000066400000000000000000000000261417574166400263760ustar00rootroot00000000000000 2 2 16 files/f2.faa snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f3.faa000066400000000000000000000000201417574166400263010ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f3.fasta000066400000000000000000000000201417574166400266500ustar00rootroot00000000000000>blank ACTGACTG snakemake-6.15.1/tests/test_github_issue988/expected-results/files/f3.txt000066400000000000000000000000261417574166400263770ustar00rootroot00000000000000 2 2 16 files/f3.faa snakemake-6.15.1/tests/test_github_issue_14/000077500000000000000000000000001417574166400207615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue_14/Snakefile000066400000000000000000000001631417574166400226050ustar00rootroot00000000000000rule all: input: "pythonTest" rule test_github_issue_14: output: "pythonTest" script: "pythonTest.py" snakemake-6.15.1/tests/test_github_issue_14/expected-results/000077500000000000000000000000001417574166400242615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_github_issue_14/expected-results/pythonTest000066400000000000000000000000451417574166400263640ustar00rootroot00000000000000local_script.contents blah blah blah snakemake-6.15.1/tests/test_github_issue_14/local_script.py000066400000000000000000000000341417574166400240060ustar00rootroot00000000000000contents = "blah blah blah" snakemake-6.15.1/tests/test_github_issue_14/pythonTest.py000066400000000000000000000007111417574166400235130ustar00rootroot00000000000000#!/usr/bin/env python import sys import os import local_script # Ensure that the __real_file__ path ends in .snakemake dname = os.path.dirname(__real_file__) print(dname) if not dname.endswith(os.path.join(".snakemake", "scripts")): sys.exit("We're not being written in the output directory!\n") # Write out script to indicte success. of = open(snakemake.output[0], "w") of.write("local_script.contents {}\n".format(local_script.contents)) of.close() snakemake-6.15.1/tests/test_globwildcards/000077500000000000000000000000001417574166400206035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/Snakefile000066400000000000000000000002551417574166400224310ustar00rootroot00000000000000 IDS, = glob_wildcards("test.{id}.txt") rule all: input: expand("test.{id}.out", id=IDS) rule: input: "test.{id}.txt" output: "test.{id}.out" shell: "touch {output}" snakemake-6.15.1/tests/test_globwildcards/expected-results/000077500000000000000000000000001417574166400241035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/expected-results/test.0.out000066400000000000000000000000001417574166400257370ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/expected-results/test.1.out000066400000000000000000000000001417574166400257400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/expected-results/test.2.out000066400000000000000000000000001417574166400257410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/test.0.txt000066400000000000000000000000001417574166400224470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/test.1.txt000066400000000000000000000000001417574166400224500ustar00rootroot00000000000000snakemake-6.15.1/tests/test_globwildcards/test.2.txt000066400000000000000000000000001417574166400224510ustar00rootroot00000000000000snakemake-6.15.1/tests/test_google_lifesciences.py000066400000000000000000000055161417574166400223340ustar00rootroot00000000000000import os import sys import tempfile from google.cloud import storage sys.path.insert(0, os.path.dirname(__file__)) from common import * def has_google_credentials(): return "GOOGLE_APPLICATION_CREDENTIALS" in os.environ google_credentials = pytest.mark.skipif( not has_google_credentials(), reason="Skipping google lifesciences tests because " "GOOGLE_APPLICATION_CREDENTIALS not found in the environment.", ) def cleanup_google_storage(prefix, bucket_name="snakemake-testing"): """Given a storage prefix and a bucket, recursively delete files there This is intended to run after testing to ensure that the bucket is cleaned up. Arguments: prefix (str) : the "subfolder" or prefix for some files in the buckets bucket_name (str) : the name of the bucket, default snakemake-testing """ client = storage.Client() bucket = client.get_bucket(bucket_name) blobs = bucket.list_blobs(prefix="source") for blob in blobs: blob.delete() # Using API we get an exception about bucket deletion shell("gsutil -m rm -r gs://{bucket.name}/* || true") bucket.delete() def create_google_storage(bucket_name="snakemake-testing"): """Given a bucket name, create the Google storage bucket, intending to be used for testing and then cleaned up by cleanup_google_storage Arguments: bucket_name (str) : the name of the bucket, default snakemake-testing """ client = storage.Client() return client.create_bucket(bucket_name) @google_credentials def test_google_lifesciences(): bucket_name = "snakemake-testing-%s" % next(tempfile._get_candidate_names()) create_google_storage(bucket_name) storage_prefix = "test_google_lifesciences" workdir = dpath("test_google_lifesciences") try: run( workdir, use_conda=True, default_remote_prefix="%s/%s" % (bucket_name, storage_prefix), google_lifesciences=True, google_lifesciences_cache=False, preemption_default=None, preemptible_rules=["pack=1"], ) finally: cleanup_google_storage(storage_prefix, bucket_name) @pytest.mark.skip( reason="Cannot test using touch with a remote prefix until the container image is deployed." ) @google_credentials def test_touch_remote_prefix(): bucket_name = "snakemake-testing-%s" % next(tempfile._get_candidate_names()) create_google_storage(bucket_name) storage_prefix = "test_touch_remote_prefix" workdir = dpath("test_touch_remote_prefix") try: run( workdir, use_conda=True, default_remote_prefix="%s/%s" % (bucket_name, storage_prefix), google_lifesciences=True, google_lifesciences_cache=False, ) finally: cleanup_google_storage(storage_prefix, bucket_name) snakemake-6.15.1/tests/test_google_lifesciences/000077500000000000000000000000001417574166400217535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_google_lifesciences/Snakefile000066400000000000000000000022271417574166400236020ustar00rootroot00000000000000import os # This test file is taken from Kubernetes - both use Google Cloud from snakemake.remote.GS import RemoteProvider as GSRemoteProvider GS = GSRemoteProvider() rule all: input: "landsat-data.txt.bz2", "testdir" rule copy: input: GS.remote("gcp-public-data-landsat/LC08/01/001/003/LC08_L1GT_001003_20170430_20170501_01_RT/LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt") output: "landsat-data.txt" resources: mem_mb=100 run: # we could test volume size like this but it is currently unclear what f1-micro instances provide as boot disk size #stats = os.statvfs('.') #volume_gib = stats.f_bsize * stats.f_blocks / 1.074e9 #assert volume_gib > 90 shell("cp {input} {output}") rule pack: input: "landsat-data.txt" output: "landsat-data.txt.bz2" conda: "env.yml" log: "logs/pack.log" shell: "bzip2 -c {input} > {output}; echo successful > {log}" rule directory: output: directory("testdir") log: "logs/directory.log" shell: "mkdir -p {output}; touch {output}/test.txt" snakemake-6.15.1/tests/test_google_lifesciences/config.json000066400000000000000000000000261417574166400241110ustar00rootroot00000000000000{"message": "hahaha"} snakemake-6.15.1/tests/test_google_lifesciences/env.yml000066400000000000000000000000621417574166400232640ustar00rootroot00000000000000channels: - conda-forge dependencies: - bzip2 snakemake-6.15.1/tests/test_google_lifesciences/expected-results/000077500000000000000000000000001417574166400252535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_google_lifesciences/expected-results/.gitkeep000066400000000000000000000000001417574166400266720ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_job_fail/000077500000000000000000000000001417574166400207445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_job_fail/Snakefile000066400000000000000000000007021417574166400225670ustar00rootroot00000000000000samples = [1,2,3,4,5] rule all: input: "test.out" rule a: output: "a/{sample}.out" group: 0 shell: "touch {output}" rule b: input: "a/{sample}.out" output: "b/{sample}.out" group: 0 shell: "touch {output}; exit 1" rule c: input: expand("b/{sample}.out", sample=samples) output: "test.out" group: 1 shell: "touch {output}" snakemake-6.15.1/tests/test_group_job_fail/expected-results/000077500000000000000000000000001417574166400242445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_job_fail/expected-results/.gitignore000066400000000000000000000000001417574166400262220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_jobs/000077500000000000000000000000001417574166400201345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_jobs/Snakefile000066400000000000000000000006721417574166400217650ustar00rootroot00000000000000samples = [1,2,3,4,5] rule all: input: "test.out" rule a: output: "a/{sample}.out" group: 0 shell: "touch {output}" rule b: input: "a/{sample}.out" output: "b/{sample}.out" group: 0 shell: "touch {output}" rule c: input: expand("b/{sample}.out", sample=samples) output: "test.out" group: 1 shell: "touch {output}" snakemake-6.15.1/tests/test_group_jobs/expected-results/000077500000000000000000000000001417574166400234345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_jobs/expected-results/test.out000066400000000000000000000000001417574166400251320ustar00rootroot00000000000000snakemake-6.15.1/tests/test_group_jobs/qsub000077500000000000000000000002001417574166400210240ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM sh $1 snakemake-6.15.1/tests/test_gs_requester_pays/000077500000000000000000000000001417574166400215275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_gs_requester_pays/Snakefile000066400000000000000000000007151417574166400233560ustar00rootroot00000000000000from snakemake.remote import GS import google.auth try: GS = GS.RemoteProvider() rule copy: input: GS.remote(config["url"], user_project=config["project"]) output: "landsat-data.txt" shell: "cp {input} {output}" except google.auth.exceptions.DefaultCredentialsError: # ignore the test if not authenticated print("skipping test_remote_gs because we are not authenticated with gcloud") snakemake-6.15.1/tests/test_gs_requester_pays/expected-results/000077500000000000000000000000001417574166400250275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_gs_requester_pays/expected-results/landsat-data.txt000066400000000000000000000203761417574166400301350ustar00rootroot00000000000000GROUP = L1_METADATA_FILE GROUP = METADATA_FILE_INFO ORIGIN = "Image courtesy of the U.S. Geological Survey" REQUEST_ID = "0501705013406_00001" LANDSAT_SCENE_ID = "LC80010032017120LGN00" LANDSAT_PRODUCT_ID = "LC08_L1GT_001003_20170430_20170501_01_RT" COLLECTION_NUMBER = 01 FILE_DATE = 2017-05-01T16:00:24Z STATION_ID = "LGN" PROCESSING_SOFTWARE_VERSION = "LPGS_2.7.0" END_GROUP = METADATA_FILE_INFO GROUP = PRODUCT_METADATA DATA_TYPE = "L1GT" COLLECTION_CATEGORY = "RT" ELEVATION_SOURCE = "GLS2000" OUTPUT_FORMAT = "GEOTIFF" SPACECRAFT_ID = "LANDSAT_8" SENSOR_ID = "OLI_TIRS" WRS_PATH = 1 WRS_ROW = 3 NADIR_OFFNADIR = "NADIR" TARGET_WRS_PATH = 1 TARGET_WRS_ROW = 3 DATE_ACQUIRED = 2017-04-30 SCENE_CENTER_TIME = "14:07:16.5180850Z" CORNER_UL_LAT_PRODUCT = 80.21528 CORNER_UL_LON_PRODUCT = -17.96312 CORNER_UR_LAT_PRODUCT = 80.28798 CORNER_UR_LON_PRODUCT = -3.45901 CORNER_LL_LAT_PRODUCT = 77.79053 CORNER_LL_LON_PRODUCT = -16.19251 CORNER_LR_LAT_PRODUCT = 77.84841 CORNER_LR_LON_PRODUCT = -4.56164 CORNER_UL_PROJECTION_X_PRODUCT = 330600.000 CORNER_UL_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_UR_PROJECTION_X_PRODUCT = 604200.000 CORNER_UR_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_LL_PROJECTION_X_PRODUCT = 330600.000 CORNER_LL_PROJECTION_Y_PRODUCT = 8645400.000 CORNER_LR_PROJECTION_X_PRODUCT = 604200.000 CORNER_LR_PROJECTION_Y_PRODUCT = 8645400.000 PANCHROMATIC_LINES = 18221 PANCHROMATIC_SAMPLES = 18241 REFLECTIVE_LINES = 9111 REFLECTIVE_SAMPLES = 9121 THERMAL_LINES = 9111 THERMAL_SAMPLES = 9121 FILE_NAME_BAND_1 = "LC08_L1GT_001003_20170430_20170501_01_RT_B1.TIF" FILE_NAME_BAND_2 = "LC08_L1GT_001003_20170430_20170501_01_RT_B2.TIF" FILE_NAME_BAND_3 = "LC08_L1GT_001003_20170430_20170501_01_RT_B3.TIF" FILE_NAME_BAND_4 = "LC08_L1GT_001003_20170430_20170501_01_RT_B4.TIF" FILE_NAME_BAND_5 = "LC08_L1GT_001003_20170430_20170501_01_RT_B5.TIF" FILE_NAME_BAND_6 = "LC08_L1GT_001003_20170430_20170501_01_RT_B6.TIF" FILE_NAME_BAND_7 = "LC08_L1GT_001003_20170430_20170501_01_RT_B7.TIF" FILE_NAME_BAND_8 = "LC08_L1GT_001003_20170430_20170501_01_RT_B8.TIF" FILE_NAME_BAND_9 = "LC08_L1GT_001003_20170430_20170501_01_RT_B9.TIF" FILE_NAME_BAND_10 = "LC08_L1GT_001003_20170430_20170501_01_RT_B10.TIF" FILE_NAME_BAND_11 = "LC08_L1GT_001003_20170430_20170501_01_RT_B11.TIF" FILE_NAME_BAND_QUALITY = "LC08_L1GT_001003_20170430_20170501_01_RT_BQA.TIF" ANGLE_COEFFICIENT_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_ANG.txt" METADATA_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt" CPF_NAME = "LC08CPF_20170401_20170630_01.02" BPF_NAME_OLI = "LO8BPF20170430140614_20170430144404.01" BPF_NAME_TIRS = "LT8BPF20170426235522_20170427000359.01" RLUT_FILE_NAME = "LC08RLUT_20150303_20431231_01_12.h5" END_GROUP = PRODUCT_METADATA GROUP = IMAGE_ATTRIBUTES CLOUD_COVER = 24.32 CLOUD_COVER_LAND = -1 IMAGE_QUALITY_OLI = 9 IMAGE_QUALITY_TIRS = 7 TIRS_SSM_MODEL = "PRELIMINARY" TIRS_SSM_POSITION_STATUS = "ESTIMATED" TIRS_STRAY_LIGHT_CORRECTION_SOURCE = "TIRS" ROLL_ANGLE = -0.001 SUN_AZIMUTH = -156.47580997 SUN_ELEVATION = 24.99099132 EARTH_SUN_DISTANCE = 1.0074392 SATURATION_BAND_1 = "N" SATURATION_BAND_2 = "N" SATURATION_BAND_3 = "N" SATURATION_BAND_4 = "N" SATURATION_BAND_5 = "N" SATURATION_BAND_6 = "N" SATURATION_BAND_7 = "N" SATURATION_BAND_8 = "N" SATURATION_BAND_9 = "N" TRUNCATION_OLI = "UPPER" END_GROUP = IMAGE_ATTRIBUTES GROUP = MIN_MAX_RADIANCE RADIANCE_MAXIMUM_BAND_1 = 748.87909 RADIANCE_MINIMUM_BAND_1 = -61.84268 RADIANCE_MAXIMUM_BAND_2 = 766.86133 RADIANCE_MINIMUM_BAND_2 = -63.32766 RADIANCE_MAXIMUM_BAND_3 = 706.65613 RADIANCE_MINIMUM_BAND_3 = -58.35589 RADIANCE_MAXIMUM_BAND_4 = 595.89227 RADIANCE_MINIMUM_BAND_4 = -49.20898 RADIANCE_MAXIMUM_BAND_5 = 364.65634 RADIANCE_MINIMUM_BAND_5 = -30.11344 RADIANCE_MAXIMUM_BAND_6 = 90.68671 RADIANCE_MINIMUM_BAND_6 = -7.48894 RADIANCE_MAXIMUM_BAND_7 = 30.56628 RADIANCE_MINIMUM_BAND_7 = -2.52417 RADIANCE_MAXIMUM_BAND_8 = 674.38605 RADIANCE_MINIMUM_BAND_8 = -55.69102 RADIANCE_MAXIMUM_BAND_9 = 142.51598 RADIANCE_MINIMUM_BAND_9 = -11.76902 RADIANCE_MAXIMUM_BAND_10 = 22.00180 RADIANCE_MINIMUM_BAND_10 = 0.10033 RADIANCE_MAXIMUM_BAND_11 = 22.00180 RADIANCE_MINIMUM_BAND_11 = 0.10033 END_GROUP = MIN_MAX_RADIANCE GROUP = MIN_MAX_REFLECTANCE REFLECTANCE_MAXIMUM_BAND_1 = 1.210700 REFLECTANCE_MINIMUM_BAND_1 = -0.099980 REFLECTANCE_MAXIMUM_BAND_2 = 1.210700 REFLECTANCE_MINIMUM_BAND_2 = -0.099980 REFLECTANCE_MAXIMUM_BAND_3 = 1.210700 REFLECTANCE_MINIMUM_BAND_3 = -0.099980 REFLECTANCE_MAXIMUM_BAND_4 = 1.210700 REFLECTANCE_MINIMUM_BAND_4 = -0.099980 REFLECTANCE_MAXIMUM_BAND_5 = 1.210700 REFLECTANCE_MINIMUM_BAND_5 = -0.099980 REFLECTANCE_MAXIMUM_BAND_6 = 1.210700 REFLECTANCE_MINIMUM_BAND_6 = -0.099980 REFLECTANCE_MAXIMUM_BAND_7 = 1.210700 REFLECTANCE_MINIMUM_BAND_7 = -0.099980 REFLECTANCE_MAXIMUM_BAND_8 = 1.210700 REFLECTANCE_MINIMUM_BAND_8 = -0.099980 REFLECTANCE_MAXIMUM_BAND_9 = 1.210700 REFLECTANCE_MINIMUM_BAND_9 = -0.099980 END_GROUP = MIN_MAX_REFLECTANCE GROUP = MIN_MAX_PIXEL_VALUE QUANTIZE_CAL_MAX_BAND_1 = 65535 QUANTIZE_CAL_MIN_BAND_1 = 1 QUANTIZE_CAL_MAX_BAND_2 = 65535 QUANTIZE_CAL_MIN_BAND_2 = 1 QUANTIZE_CAL_MAX_BAND_3 = 65535 QUANTIZE_CAL_MIN_BAND_3 = 1 QUANTIZE_CAL_MAX_BAND_4 = 65535 QUANTIZE_CAL_MIN_BAND_4 = 1 QUANTIZE_CAL_MAX_BAND_5 = 65535 QUANTIZE_CAL_MIN_BAND_5 = 1 QUANTIZE_CAL_MAX_BAND_6 = 65535 QUANTIZE_CAL_MIN_BAND_6 = 1 QUANTIZE_CAL_MAX_BAND_7 = 65535 QUANTIZE_CAL_MIN_BAND_7 = 1 QUANTIZE_CAL_MAX_BAND_8 = 65535 QUANTIZE_CAL_MIN_BAND_8 = 1 QUANTIZE_CAL_MAX_BAND_9 = 65535 QUANTIZE_CAL_MIN_BAND_9 = 1 QUANTIZE_CAL_MAX_BAND_10 = 65535 QUANTIZE_CAL_MIN_BAND_10 = 1 QUANTIZE_CAL_MAX_BAND_11 = 65535 QUANTIZE_CAL_MIN_BAND_11 = 1 END_GROUP = MIN_MAX_PIXEL_VALUE GROUP = RADIOMETRIC_RESCALING RADIANCE_MULT_BAND_1 = 1.2371E-02 RADIANCE_MULT_BAND_2 = 1.2668E-02 RADIANCE_MULT_BAND_3 = 1.1674E-02 RADIANCE_MULT_BAND_4 = 9.8438E-03 RADIANCE_MULT_BAND_5 = 6.0239E-03 RADIANCE_MULT_BAND_6 = 1.4981E-03 RADIANCE_MULT_BAND_7 = 5.0494E-04 RADIANCE_MULT_BAND_8 = 1.1140E-02 RADIANCE_MULT_BAND_9 = 2.3543E-03 RADIANCE_MULT_BAND_10 = 3.3420E-04 RADIANCE_MULT_BAND_11 = 3.3420E-04 RADIANCE_ADD_BAND_1 = -61.85505 RADIANCE_ADD_BAND_2 = -63.34032 RADIANCE_ADD_BAND_3 = -58.36757 RADIANCE_ADD_BAND_4 = -49.21882 RADIANCE_ADD_BAND_5 = -30.11946 RADIANCE_ADD_BAND_6 = -7.49044 RADIANCE_ADD_BAND_7 = -2.52468 RADIANCE_ADD_BAND_8 = -55.70216 RADIANCE_ADD_BAND_9 = -11.77137 RADIANCE_ADD_BAND_10 = 0.10000 RADIANCE_ADD_BAND_11 = 0.10000 REFLECTANCE_MULT_BAND_1 = 2.0000E-05 REFLECTANCE_MULT_BAND_2 = 2.0000E-05 REFLECTANCE_MULT_BAND_3 = 2.0000E-05 REFLECTANCE_MULT_BAND_4 = 2.0000E-05 REFLECTANCE_MULT_BAND_5 = 2.0000E-05 REFLECTANCE_MULT_BAND_6 = 2.0000E-05 REFLECTANCE_MULT_BAND_7 = 2.0000E-05 REFLECTANCE_MULT_BAND_8 = 2.0000E-05 REFLECTANCE_MULT_BAND_9 = 2.0000E-05 REFLECTANCE_ADD_BAND_1 = -0.100000 REFLECTANCE_ADD_BAND_2 = -0.100000 REFLECTANCE_ADD_BAND_3 = -0.100000 REFLECTANCE_ADD_BAND_4 = -0.100000 REFLECTANCE_ADD_BAND_5 = -0.100000 REFLECTANCE_ADD_BAND_6 = -0.100000 REFLECTANCE_ADD_BAND_7 = -0.100000 REFLECTANCE_ADD_BAND_8 = -0.100000 REFLECTANCE_ADD_BAND_9 = -0.100000 END_GROUP = RADIOMETRIC_RESCALING GROUP = TIRS_THERMAL_CONSTANTS K1_CONSTANT_BAND_10 = 774.8853 K2_CONSTANT_BAND_10 = 1321.0789 K1_CONSTANT_BAND_11 = 480.8883 K2_CONSTANT_BAND_11 = 1201.1442 END_GROUP = TIRS_THERMAL_CONSTANTS GROUP = PROJECTION_PARAMETERS MAP_PROJECTION = "UTM" DATUM = "WGS84" ELLIPSOID = "WGS84" UTM_ZONE = 29 GRID_CELL_SIZE_PANCHROMATIC = 15.00 GRID_CELL_SIZE_REFLECTIVE = 30.00 GRID_CELL_SIZE_THERMAL = 30.00 ORIENTATION = "NORTH_UP" RESAMPLING_OPTION = "CUBIC_CONVOLUTION" END_GROUP = PROJECTION_PARAMETERS END_GROUP = L1_METADATA_FILE END snakemake-6.15.1/tests/test_handover/000077500000000000000000000000001417574166400175715ustar00rootroot00000000000000snakemake-6.15.1/tests/test_handover/Snakefile000066400000000000000000000001311417574166400214100ustar00rootroot00000000000000rule a: output: "test.out" handover: True script: "script.py"snakemake-6.15.1/tests/test_handover/expected-results/000077500000000000000000000000001417574166400230715ustar00rootroot00000000000000snakemake-6.15.1/tests/test_handover/expected-results/test.out000066400000000000000000000000051417574166400245740ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_handover/script.py000066400000000000000000000002601417574166400214450ustar00rootroot00000000000000if not snakemake.resources.mem_mb == 20: raise ValueError("Handover of all resources did not work.") with open(snakemake.output[0], "w") as out: print("test", file=out)snakemake-6.15.1/tests/test_inoutput_is_path/000077500000000000000000000000001417574166400213615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_inoutput_is_path/Snakefile000066400000000000000000000005111417574166400232020ustar00rootroot00000000000000from pathlib import Path rule: input: Path("test.in").resolve() # absolute, must exist output: Path("test.out") # relative, does not have to exist (yet) run: test = shell("echo 42;", read=True) assert int(test) == 42 with open(output[0], "w") as f: for l in shell("cat {input}", iterable=True): print(l, file=f) snakemake-6.15.1/tests/test_inoutput_is_path/expected-results/000077500000000000000000000000001417574166400246615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_inoutput_is_path/expected-results/test.out000066400000000000000000000000101417574166400263600ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_inoutput_is_path/test.in000066400000000000000000000000101417574166400226570ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_inoutput_is_path/test.out000066400000000000000000000000101417574166400230600ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_input_generator/000077500000000000000000000000001417574166400211705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_input_generator/Snakefile000066400000000000000000000014631417574166400230200ustar00rootroot00000000000000# What if an input function returns a generator rather than a list? # Pythonically, generators are preferred to lists. #This always worked fine: def input_func1(wildcards): return [ "%s.%d.in" % (wildcards.base, n) for n in range(1,4) ] #This fails: def input_func2(wildcards): return ( "%s.%d.in" % (wildcards.base, n) for n in range(1,4) ) #As does this def input_func3(wildcards): for n in range(1,4): yield "%s.%d.in" % (wildcards.base, n) rule main: input: "foo.out1", "foo.out2", "foo.out3" rule test1: output: "{base}.out1" input: input_func1 shell: "cat {input} > {output}" rule test2: output: "{base}.out2" input: input_func2 shell: "cat {input} > {output}" rule test3: output: "{base}.out3" input: input_func3 shell: "cat {input} > {output}" snakemake-6.15.1/tests/test_input_generator/expected-results/000077500000000000000000000000001417574166400244705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_input_generator/expected-results/foo.out1000066400000000000000000000000061417574166400260610ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_input_generator/expected-results/foo.out2000066400000000000000000000000061417574166400260620ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_input_generator/expected-results/foo.out3000066400000000000000000000000061417574166400260630ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_input_generator/foo.1.in000066400000000000000000000000021417574166400224320ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_input_generator/foo.2.in000066400000000000000000000000021417574166400224330ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_input_generator/foo.3.in000066400000000000000000000000021417574166400224340ustar00rootroot000000000000003 snakemake-6.15.1/tests/test_io.py000066400000000000000000000070711417574166400167510ustar00rootroot00000000000000from pathlib import PosixPath from snakemake.io import _wildcard_regex, expand from snakemake.exceptions import WildcardError def test_wildcard_regex(): def matches(text): return [ (match.group("name"), match.group("constraint")) for match in _wildcard_regex.finditer(text) ] # without constraints assert matches("") == [] assert matches("{") == [] assert matches("}") == [] assert matches("{}") == [] assert matches("{0}") == [("0", None)] assert matches("{abc}") == [("abc", None)] assert matches("abc{def}{ghi}") == [("def", None), ("ghi", None)] # with constraints assert matches("{w,constraint}") == [("w", "constraint")] assert matches("{w , constraint}") == [("w", "constraint")] # fails because constraint is detected as 'constraint ' # assert matches('{w,constraint }') == [('w', 'constraint')] assert matches("abc { w , constraint} def") == [("w", "constraint")] # multiple wildcards assert matches("{a,1} {b,2} {c,3}") == [("a", "1"), ("b", "2"), ("c", "3")] # more complicated constraints assert matches(r"{w,([a-z]+|pat\|t*ern)}") == [("w", r"([a-z]+|pat\|t*ern)")] assert matches(r"{w,([a-z]+|pat\|te{1,3}rn){5,7}}") == [ ("w", r"([a-z]+|pat\|te{1,3}rn){5,7}") ] # This used to be very slow with an older version of the regex assert matches("{w, long constraint without closing brace") == [] def test_expand(): wildcards = {"a": [1, 2], "b": [3, 4], "c": [5]} # each provided wildcard is used in the filepattern assert sorted(expand("{a}{b}{c}", **wildcards)) == sorted( ["135", "145", "235", "245"] ) # redundant wildcards are provided assert sorted(expand("{a}{c}", **wildcards)) == sorted(["15", "25"]) # missing wildcards (should fail) try: expand("{a}{d}", **wildcards) assert False except WildcardError: pass # do not expand on strings and non iterables assert expand("{x}{y}", **{"x": "Hello, ", "y": "world!"}) == ["Hello, world!"] assert expand("{x}{y}", **{"x": 4, "y": 2}) == ["42"] # format-minilang: field names assert sorted( expand("first letter of sample: {samples[0]}", samples=["A123", "B456", "C789"]) ) == sorted( [ "first letter of sample: A", "first letter of sample: B", "first letter of sample: C", ] ) assert expand("{str.__class__}", str="") == [""] # format-minilang: conversions class ConvTest: def __str__(self): return "string" def __repr__(self): return "representation" assert expand("{test!r}", test=ConvTest()) == ["representation"] assert expand("{test!s}", test=ConvTest()) == ["string"] # format-minilang: format specifications assert sorted( expand( "The answer to life, the universe, and everything: {answer:f}", answer=range(41, 43), ) ) == sorted( [ "The answer to life, the universe, and everything: 41.000000", "The answer to life, the universe, and everything: 42.000000", ] ) # multiple filepatterns with different wildcards assert sorted( expand(["a: {a} + b: {b}", "c: {c}"], a="aa", b=["b", "bb"], c=["c", "cc"]) ) == sorted(["a: aa + b: b", "a: aa + b: bb", "c: c", "c: cc"]) # expand on pathlib.Path objects assert ( expand( PosixPath() / "{x}" / "{y}", x="Hello", y="world", ) == ["Hello/world"] ) snakemake-6.15.1/tests/test_issue1037/000077500000000000000000000000001417574166400174265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1037/Foo_A.start000066400000000000000000000000001417574166400214560ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1037/Snakefile000066400000000000000000000006501417574166400212530ustar00rootroot00000000000000ruleorder: done2 > done1 rule step1: input: '{sample}.start' output: '{sample}.step1' group: 'mygroup' shell: 'touch {output}' rule done1: input: '{sample}.step1' output: '{sample}.done' group: 'mygroup' shell: 'touch {output}' rule done2: input: '{sample}.step1' output: '{sample}.done' wildcard_constraints: sample = 'Foo_.+' group: 'mygroup' shell: 'touch {output}' snakemake-6.15.1/tests/test_issue1037/expected-results/000077500000000000000000000000001417574166400227265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1037/expected-results/.gitignore000066400000000000000000000000001417574166400247040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1037/qsub000077500000000000000000000002231417574166400203230ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_issue1041/000077500000000000000000000000001417574166400174215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1041/Snakefile000066400000000000000000000007471417574166400212550ustar00rootroot00000000000000CHUNKS = range(3) rule all: input: expand('raw.split_{chunk}.txt', chunk=CHUNKS) rule start: group: 'group1' output: 'raw.txt' shell: 'echo "hi" > {output}' rule split: input: txt='raw.txt' output: expand('raw.split_{chunk}.txt', chunk=CHUNKS) group: 'group1' shell: ''' sleep 3 echo 0 > {output[0]} echo 1 > {output[1]} echo 2 > {output[2]} ''' snakemake-6.15.1/tests/test_issue1041/expected-results/000077500000000000000000000000001417574166400227215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1041/expected-results/raw.split_0.txt000066400000000000000000000000021417574166400256140ustar00rootroot000000000000000 snakemake-6.15.1/tests/test_issue1041/expected-results/raw.split_1.txt000066400000000000000000000000021417574166400256150ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_issue1041/expected-results/raw.split_2.txt000066400000000000000000000000021417574166400256160ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_issue1046/000077500000000000000000000000001417574166400174265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1046/Snakefile000066400000000000000000000004311417574166400212500ustar00rootroot00000000000000rule all: input: "test_report.html" rule test: input: "{name}.csv" output: "{name}_report.html" params: # DOES NOT WORK! title = lambda wildcards, input: input[0] # WORKS!! # title = lambda wildcards: wildcards.name wrapper: "file:my_wrapper" snakemake-6.15.1/tests/test_issue1046/expected-results/000077500000000000000000000000001417574166400227265ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1046/expected-results/test_report.html000066400000000000000000000000111417574166400261560ustar00rootroot00000000000000test.csv snakemake-6.15.1/tests/test_issue1046/my_wrapper/000077500000000000000000000000001417574166400216135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1046/my_wrapper/wrapper.py000066400000000000000000000002031417574166400236400ustar00rootroot00000000000000from snakemake import shell shell.executable("bash") shell("echo {} > {}".format(snakemake.params["title"], snakemake.output[0])) snakemake-6.15.1/tests/test_issue1046/test.csv000066400000000000000000000000001417574166400211100ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1083/000077500000000000000000000000001417574166400174275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1083/Snakefile000066400000000000000000000003421417574166400212520ustar00rootroot00000000000000rule: output: "foo.txt" input: "bar.txt" singularity: "docker://bash" shadow: "minimal" shell: "mount; " "pwd; " "ls -l {input}; " "cat {input} > {output}" snakemake-6.15.1/tests/test_issue1083/bar.txt000066400000000000000000000000001417574166400207220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1083/expected-results/000077500000000000000000000000001417574166400227275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1083/expected-results/foo.txt000066400000000000000000000000001417574166400242410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1085/000077500000000000000000000000001417574166400174315ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1085/Snakefile000066400000000000000000000002741417574166400212600ustar00rootroot00000000000000shell.executable("bash") def get_params(wildcards): return {'test': 'oo', 'norm': 'oo'} rule test: output: "aa" params: unpack(get_params) shell: "echo {params}" snakemake-6.15.1/tests/test_issue1085/expected-results/000077500000000000000000000000001417574166400227315ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1085/expected-results/.gitignore000066400000000000000000000000001417574166400247070ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1092/000077500000000000000000000000001417574166400174275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1092/Snakefile000066400000000000000000000017661417574166400212650ustar00rootroot00000000000000shell.executable("bash") # a target rule to define the desired final output rule all: input: "aggregated.txt", # the checkpoint that shall trigger re-evaluation of the DAG checkpoint clustering: output: clusters=directory("clustering") shell: "mkdir clustering; " "for i in 1 2 3; do echo $i > clustering/$i.txt; done" def aggregate_input(wildcards): checkpoint_output = checkpoints.clustering.get(**wildcards).output[0] print("beyond") return sorted( expand("post/{i}.txt", i=glob_wildcards(os.path.join(checkpoint_output, "{i}.txt")).i) ) # an aggregation over all produced clusters rule aggregate: input: aggregate_input output: "aggregated.txt" #shell: # "cat {input} > {output}" run: shell("cat {input} > {output}") # an intermediate rule rule intermediate: input: "clustering/{i}.txt" output: "post/{i}.txt" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_issue1092/expected-results/000077500000000000000000000000001417574166400227275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1092/expected-results/aggregated.txt000066400000000000000000000000061417574166400255560ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_issue1092/expected-results/aggregated.txt_WIN000066400000000000000000000000061417574166400262730ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_issue1093/000077500000000000000000000000001417574166400174305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1093/Snakefile000066400000000000000000000017001417574166400212520ustar00rootroot00000000000000# a target rule to define the desired final output rule all: input: "aggregated.txt", # the checkpoint that shall trigger re-evaluation of the DAG checkpoint clustering: output: clusters=directory("clustering") shell: "mkdir clustering; " "for i in 1 2 3; do echo $i > clustering/$i.txt; done" def aggregate_input(wildcards): checkpoint_output = checkpoints.clustering.get(**wildcards).output[0] return expand("post/{i}.txt", i=sorted(glob_wildcards(os.path.join(checkpoint_output, "{i}.txt")).i)) # an aggregation over all produced clusters rule aggregate: input: aggregate_input output: "aggregated.txt" shell: "cat {input} > {output}" # an intermediate rule rule intermediate: input: "clustering/{i}.txt" output: "post/{i}.txt" conda: "condaenv.yaml" shell: "which bwa; " "cp {input} {output}" snakemake-6.15.1/tests/test_issue1093/condaenv.yaml000066400000000000000000000001031417574166400221030ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - bwa snakemake-6.15.1/tests/test_issue1093/expected-results/000077500000000000000000000000001417574166400227305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1093/expected-results/aggregated.txt000066400000000000000000000000061417574166400255570ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_issue1281/000077500000000000000000000000001417574166400174275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1281/Snakefile000066400000000000000000000010461417574166400212540ustar00rootroot00000000000000# using dictionary expansion mydictionary={ 'apple': 'crunchy fruit', 'banana': 'mushy and yellow' } rule all: input: expand('{key}.sh', key=mydictionary.keys()) rule test: output: temp('{f}.txt') params: keyval=lambda wildcards: mydictionary[wildcards.f] shell: """ echo {params.keyval} > {output} cat {output} """ rule test2: input: rules.test.output output: '{f}.sh' shell: "touch {output}" rule checkme: input: expand(rules.test2.output, f=mydictionary.keys()) snakemake-6.15.1/tests/test_issue1281/expected-results/000077500000000000000000000000001417574166400227275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1281/expected-results/apple.sh000066400000000000000000000000001417574166400243520ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1281/expected-results/banana.sh000066400000000000000000000000001417574166400244710ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1284/000077500000000000000000000000001417574166400174325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1284/Snakefile000066400000000000000000000015051417574166400212570ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'result.r1', 'result.c1', # targeting checkpoint output overrides input 'result.c2' def rule1_input(wc): checkpoints.check1.get(**wc).output[0] return "result.r2" rule r1: input: rule1_input output: 'result.r1', shell: 'echo {input} > {output}' rule r2: output: 'result.r2' shell: 'echo r2 > {output}' def check1_input(wc): checkpoints.check2.get(**wc).output[0] return 'result.r3' checkpoint check1: input: check1_input output: 'result.c1' shell: 'echo c1 > {output}' checkpoint check2: output: 'result.c2' shell: 'echo c2 > {output}' rule r3: output: 'result.r3' shell: 'echo r3 > {output}' snakemake-6.15.1/tests/test_issue1284/expected-results/000077500000000000000000000000001417574166400227325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue1284/expected-results/result.c1000066400000000000000000000000031417574166400244660ustar00rootroot00000000000000c1 snakemake-6.15.1/tests/test_issue1284/expected-results/result.c2000066400000000000000000000000031417574166400244670ustar00rootroot00000000000000c2 snakemake-6.15.1/tests/test_issue1284/expected-results/result.r1000066400000000000000000000000121417574166400245050ustar00rootroot00000000000000result.r2 snakemake-6.15.1/tests/test_issue1284/expected-results/result.r2000066400000000000000000000000031417574166400245060ustar00rootroot00000000000000r2 snakemake-6.15.1/tests/test_issue1284/expected-results/result.r3000066400000000000000000000000031417574166400245070ustar00rootroot00000000000000r3 snakemake-6.15.1/tests/test_issue260/000077500000000000000000000000001417574166400173435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue260/Snakefile000066400000000000000000000010631417574166400211670ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'output/result.n3', output: 'output/done.txt', shell: 'echo all >> {output}' rule n3: input: dynamic("output/{id2}.n2"), output: "output/result.n3", shell: 'echo n3 > {output}' rule n2: input: dyn=dynamic("output/{id1}.n1"), output: dynamic("output/{id2}.n2"), shell: 'echo n2 > output/result.n2' rule n1: output: dyn=dynamic("output/{id1}.n1"), shell: 'echo n1 > output/result.n1' snakemake-6.15.1/tests/test_issue260/expected-results/000077500000000000000000000000001417574166400226435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue260/expected-results/output/000077500000000000000000000000001417574166400242035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue260/expected-results/output/done.txt000066400000000000000000000000041417574166400256630ustar00rootroot00000000000000all snakemake-6.15.1/tests/test_issue260/expected-results/output/result.n1000066400000000000000000000000031417574166400257520ustar00rootroot00000000000000n1 snakemake-6.15.1/tests/test_issue260/expected-results/output/result.n2000066400000000000000000000000031417574166400257530ustar00rootroot00000000000000n2 snakemake-6.15.1/tests/test_issue260/expected-results/output/result.n3000066400000000000000000000000031417574166400257540ustar00rootroot00000000000000n3 snakemake-6.15.1/tests/test_issue328/000077500000000000000000000000001417574166400173505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue328/Snakefile000066400000000000000000000007711417574166400212010ustar00rootroot00000000000000from pytools.persistent_dict import PersistentDict storage = PersistentDict("storage") rule merge: input: dynamic("in_{sample}.txt") output: "out.txt" shell: "touch {output}" storage["split_counter"] = 0 rule split: input: "in.txt" output: dynamic("in_{sample}.txt") run: if storage["split_counter"] > 0: raise Exception("Rule split was executed multiple times.") storage["split_counter"] += 1 shell("touch in_1.txt in_2.txt") snakemake-6.15.1/tests/test_issue328/expected-results/000077500000000000000000000000001417574166400226505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue328/expected-results/out.txt000066400000000000000000000000001417574166400242060ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue328/in.txt000066400000000000000000000000001417574166400205050ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue381/000077500000000000000000000000001417574166400173475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue381/Snakefile000066400000000000000000000003641417574166400211760ustar00rootroot00000000000000 rule all: input: "b.out" rule a: input: "a.in" output: "a.out" shell: "touch {output}" rule b: input: rules.a.input output: "b.out" shell: "touch {output}" snakemake-6.15.1/tests/test_issue381/a.in000066400000000000000000000000001417574166400201050ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue381/expected-results/000077500000000000000000000000001417574166400226475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue381/expected-results/b.out000066400000000000000000000000001417574166400236070ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue471/000077500000000000000000000000001417574166400173475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue471/Snakefile000066400000000000000000000005131417574166400211720ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test1.2.out" def process_params(wildcards) : e,a = wildcards.ea.split(".") return { 'epsilon' : '0' + e, 'alpha' : '0.' + a } rule a: output: "test{ea}.out" params: p=process_params shell: "echo {params.p[epsilon]} > {output}" snakemake-6.15.1/tests/test_issue471/expected-results/000077500000000000000000000000001417574166400226475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue471/expected-results/test1.2.out000066400000000000000000000000031417574166400245710ustar00rootroot0000000000000001 snakemake-6.15.1/tests/test_issue584/000077500000000000000000000000001417574166400173545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue584/Snakefile000066400000000000000000000002741417574166400212030ustar00rootroot00000000000000shell.executable("bash") rule all: input: "out1" rule generate: output: "out1" params: test=lambda wildcards: "{test}" shell: "echo "" > out1" snakemake-6.15.1/tests/test_issue584/expected-results/000077500000000000000000000000001417574166400226545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue584/expected-results/out1000066400000000000000000000000011417574166400234560ustar00rootroot00000000000000 snakemake-6.15.1/tests/test_issue612/000077500000000000000000000000001417574166400173445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue612/Snakefile000066400000000000000000000001351417574166400211670ustar00rootroot00000000000000rule A: run: print("A") rule B: run: print("B") rule C: run: print("C") snakemake-6.15.1/tests/test_issue612/expected-results/000077500000000000000000000000001417574166400226445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue612/expected-results/.gitignore000066400000000000000000000000001417574166400246220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue635/000077500000000000000000000000001417574166400173515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue635/Snakefile000066400000000000000000000003021417574166400211700ustar00rootroot00000000000000 rule all: input: "report.html" rule rmd: input: "input.txt" output: "report.html" conda: "envs/rmarkdown.yaml" script: "scripts/report.Rmd" snakemake-6.15.1/tests/test_issue635/envs/000077500000000000000000000000001417574166400203245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue635/envs/rmarkdown.yaml000066400000000000000000000001201417574166400232050ustar00rootroot00000000000000channels: - conda-forge dependencies: - r-base =3.6.1 - r-rmarkdown =1.17 snakemake-6.15.1/tests/test_issue635/expected-results/000077500000000000000000000000001417574166400226515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue635/expected-results/report.html000066400000000000000000025615521417574166400250720ustar00rootroot00000000000000 Test Report

R Markdown

This is an R Markdown document.

Test include from snakemake input.txt.

# This works, but indicates that the working directory is NOT the workdir
data <- read.table("datadir/input.txt")
data
##   V1 V2 V3
## 1  1  2  3
getwd()
## [1] "/home/johannes/scms/snakemake/tests/test_issue365"
# This fails
#data <- read.table("snakemake@input[[1]]")
#data
snakemake-6.15.1/tests/test_issue635/input.txt000066400000000000000000000000061417574166400212450ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_issue635/scripts/000077500000000000000000000000001417574166400210405ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue635/scripts/report.Rmd000066400000000000000000000012351417574166400230200ustar00rootroot00000000000000--- title: "Test Report" author: - "Your Name" date: "`r format(Sys.time(), '%d %B, %Y')`" params: rmd: "report.Rmd" output: html_document: highlight: tango number_sections: no theme: default toc: yes toc_depth: 3 toc_float: collapsed: no smooth_scroll: yes --- ## R Markdown This is an R Markdown document. Test include from snakemake ``r snakemake@input``. ```{r} print(getwd()) ``` ```{r} # This fails data <- read.table(snakemake@input[[1]]) data ``` ## Source R Markdown source file (to produce this document) snakemake-6.15.1/tests/test_issue805/000077500000000000000000000000001417574166400173505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue805/Snakefile000066400000000000000000000003331417574166400211730ustar00rootroot00000000000000rule a: output: "test.out" shell: "echo {params.b} > {output}" params: b=1 rule b: input: "test.out" output: "test2.out" shell: "touch {output}" snakemake-6.15.1/tests/test_issue805/expected-results/000077500000000000000000000000001417574166400226505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue805/expected-results/test.out000066400000000000000000000000021417574166400243500ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_issue823_1/000077500000000000000000000000001417574166400175705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue823_1/Snakefile000066400000000000000000000010251417574166400214120ustar00rootroot00000000000000rule all: input: "b.txt" checkpoint a: output: # to reproduce the bug: # >1 output required # one or more temp() outputs required # exception: will work if only the first output is temp() temp('a1.txt'), temp('a2.txt'), shell: "touch {output}" def _checkpoint_output(wildcards): out = checkpoints.a.get(**wildcards).output return out rule b: input: _checkpoint_output, output: 'b.txt' shell: "touch {output}" snakemake-6.15.1/tests/test_issue823_1/expected-results/000077500000000000000000000000001417574166400230705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue823_1/expected-results/b.txt000066400000000000000000000000001417574166400240400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue823_2/000077500000000000000000000000001417574166400175715ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue823_2/Snakefile000066400000000000000000000007371417574166400214240ustar00rootroot00000000000000rule all: input: "c.txt", checkpoint a: output: "a.txt" shell: "touch {output}" rule b1: output: pipe("b.pipe") shell: "echo test > {output}" rule b2: input: "b.pipe" output: "b.txt" shell: """ cat {input} > /dev/null touch {output} """ rule c: input: "a.txt", "b.txt", output: "c.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_issue823_2/expected-results/000077500000000000000000000000001417574166400230715ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue823_2/expected-results/c.txt000066400000000000000000000000001417574166400240420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue850/000077500000000000000000000000001417574166400173505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue850/Snakefile000066400000000000000000000007261417574166400212010ustar00rootroot00000000000000 lists = [["1.bam", "2.bam"], ["3.bam", "4.bam"]] rule done: input: ["-".join(l) for l in lists], "2.qc2" rule a: output: touch("{sample}.bam") group: "cell" rule b: input: "{sample}.bam" output: touch("{sample}.qc") group: "cell" rule c: input: "{sample}.qc" output: touch("{sample}.qc2") group: "cell" for l in lists: rule: input: l output: temp(touch(str("-".join(l)))) group: "cell" snakemake-6.15.1/tests/test_issue850/expected-results/000077500000000000000000000000001417574166400226505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue850/expected-results/2.qc2000066400000000000000000000000001417574166400234060ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue850/qsub000077500000000000000000000002231417574166400202450ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_issue854/000077500000000000000000000000001417574166400173545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue854/Snakefile000066400000000000000000000002001417574166400211700ustar00rootroot00000000000000 rule a: output: "test.{x}.txt" benchmark: "benchmarks/test.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_issue854/expected-results/000077500000000000000000000000001417574166400226545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue854/expected-results/.gitignore000066400000000000000000000000001417574166400246320ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/000077500000000000000000000000001417574166400173515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/Snakefile000066400000000000000000000010541417574166400211750ustar00rootroot00000000000000rule a: output: "{sample}.bam" group: "cell" shell: "touch {output}" rule b: input: "{sample}.bam" output: "{sample}.qc" group: "cell" shadow: "minimal" shell: "touch {output}" rule c: input: "{sample}.qc" output: "{sample}.qc2" group: "cell" shell: "touch {output}" lists = [["1.bam", "2.bam"], ["3.bam", "4.bam"]] for l in lists: rule: input: l output: temp(touch(str("-".join(l)))) group: "cell" rule done: input: [str("-".join(l)) for l in lists], "2.qc2" snakemake-6.15.1/tests/test_issue860/expected-results/000077500000000000000000000000001417574166400226515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/expected-results/1.bam000066400000000000000000000000001417574166400234600ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/expected-results/2.bam000066400000000000000000000000001417574166400234610ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/expected-results/2.qc000066400000000000000000000000001417574166400233250ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/expected-results/2.qc2000066400000000000000000000000001417574166400234070ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/expected-results/3.bam000066400000000000000000000000001417574166400234620ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/expected-results/4.bam000066400000000000000000000000001417574166400234630ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue860/qsub000077500000000000000000000002231417574166400202460ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_issue894/000077500000000000000000000000001417574166400173605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue894/Snakefile000066400000000000000000000001511417574166400212010ustar00rootroot00000000000000onsuccess: assert not os.path.exists("b") rule a: output: "a", temp("b") shell: "touch a b" snakemake-6.15.1/tests/test_issue894/expected-results/000077500000000000000000000000001417574166400226605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue894/expected-results/a000066400000000000000000000000001417574166400230110ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/000077500000000000000000000000001417574166400173475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/Snakefile000066400000000000000000000014351417574166400211760ustar00rootroot00000000000000# Create the directory fake/test and the file fake/test/sample.Mutect2.snpSift.vcf.gz # Run on cluster, example: # snakemake --cluster 'bash ' -j1 -p rule all: input: expand( "fake/test/{t}.Mutect2.snpSift.hardfilter.vcf.gz", t=['sample']), rule rule1: input: vcf = ancient('fake/{y}/{x}.vcf.gz'), output: indel = temp('fake/{y}/{x}.indels.raw.vcf.gz'), log: 'fake/logs/rule1.{y}.{x}.log' params: jobname = 'rule1.{x}' shell: 'touch {output.indel}' rule rule2: input: indel = 'fake/{y}/{x}.indels.raw.vcf.gz', output: 'fake/{y}/{x}.hardfilter.vcf.gz' log: 'fake/logs/rule2.{y}.{x}.log' params: jobname = 'rule2', shell: 'touch {output}' snakemake-6.15.1/tests/test_issue912/expected-results/000077500000000000000000000000001417574166400226475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/expected-results/fake/000077500000000000000000000000001417574166400235555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/expected-results/fake/logs/000077500000000000000000000000001417574166400245215ustar00rootroot00000000000000rule1.test.sample.Mutect2.snpSift.log000066400000000000000000000000001417574166400333700ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/expected-results/fake/logsrule2.test.sample.Mutect2.snpSift.log000066400000000000000000000000001417574166400333710ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/expected-results/fake/logssnakemake-6.15.1/tests/test_issue912/expected-results/fake/test/000077500000000000000000000000001417574166400245345ustar00rootroot00000000000000sample.Mutect2.snpSift.hardfilter.vcf.gz000066400000000000000000000000001417574166400341350ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/expected-results/fake/testsnakemake-6.15.1/tests/test_issue912/fake/000077500000000000000000000000001417574166400202555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/fake/test/000077500000000000000000000000001417574166400212345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/fake/test/sample.Mutect2.snpSift.vcf.gz000066400000000000000000000000001417574166400265710ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue912/qsub000077500000000000000000000002231417574166400202440ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_issue916/000077500000000000000000000000001417574166400173535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue916/Snakefile000066400000000000000000000001531417574166400211760ustar00rootroot00000000000000rule all: input: "pythonTest" rule testIssue916: output: "pythonTest" script: "pythonTest.py" snakemake-6.15.1/tests/test_issue916/expected-results/000077500000000000000000000000001417574166400226535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue916/expected-results/pythonTest000066400000000000000000000000451417574166400247560ustar00rootroot00000000000000local_script.contents blah blah blah snakemake-6.15.1/tests/test_issue916/local_script.py000066400000000000000000000000341417574166400224000ustar00rootroot00000000000000contents = "blah blah blah" snakemake-6.15.1/tests/test_issue916/pythonTest.py000066400000000000000000000007261417574166400221130ustar00rootroot00000000000000#!/usr/bin/env python import sys import os import local_script from pathlib import Path # Ensure that the __real_file__ path ends in .snakemake dname = Path(__real_file__).parent print(dname) if not dname.parts[-2:] == (".snakemake", "scripts"): sys.exit("We're not being written in the output directory!\n") # Write out script to indicte success. of = open(snakemake.output[0], "w") of.write("local_script.contents {}\n".format(local_script.contents)) of.close() snakemake-6.15.1/tests/test_issue930/000077500000000000000000000000001417574166400173475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue930/Snakefile000066400000000000000000000012061417574166400211720ustar00rootroot00000000000000samples = ["0","1"] rule all: input: "test.out" rule build_index: output: "large_reference_index" shell: "touch {output}" rule a: output: "a/{sample}.out" group: "sample_group" shell: "touch {output}" rule b: input: rules.a.output, rules.build_index.output output: "b/{sample}.out" group: "sample_group" shell: "touch {output}" rule c: input: expand("a/{sample}.out", sample=samples), expand("b/{sample}.out", sample=samples) output: "test.out" shell: "touch {output}" snakemake-6.15.1/tests/test_issue930/expected-results/000077500000000000000000000000001417574166400226475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue930/expected-results/test.out000066400000000000000000000000001417574166400243450ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue930/qsub000077500000000000000000000002231417574166400202440ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM cat $1 >> qsub.log sh $1 snakemake-6.15.1/tests/test_issue956/000077500000000000000000000000001417574166400173575ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue956/Snakefile000066400000000000000000000016341417574166400212070ustar00rootroot00000000000000shell.executable("bash") rule all: input: expand( "f_{result_type}.txt", result_type=["A", "B"]), rule make_A: output: result_A = "A_{result_type}.txt", shell: """ echo "A" > {output.result_A} """ rule make_B: output: result_B = "B_{result_type}.txt", shell: """ echo "B" > {output.result_B} """ def source_result_type(wildcards): if wildcards.result_type == "A": return rules.make_A.output.result_A elif wildcards.result_type == "B": return rules.make_B.output.result_B else: raise NotImplementedError(f"{wildcards.result_type} not possible.\n") rule generate_final_results: input: file_in = source_result_type, output: file_out = "f_{result_type}.txt", shell: """ cat {input.file_in} > {output.file_out} """ snakemake-6.15.1/tests/test_issue956/expected-results/000077500000000000000000000000001417574166400226575ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue956/expected-results/f_A.txt000066400000000000000000000000021417574166400240750ustar00rootroot00000000000000A snakemake-6.15.1/tests/test_issue956/expected-results/f_B.txt000066400000000000000000000000021417574166400240760ustar00rootroot00000000000000B snakemake-6.15.1/tests/test_issue958/000077500000000000000000000000001417574166400173615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue958/Snakefile000066400000000000000000000002541417574166400212060ustar00rootroot00000000000000rule all: input: 'b.txt' rule g_touch_a: output: touch('a.txt') group: 'g' rule g_make_b_from_a: input: 'a.txt' output: touch('b.txt') group: 'g' snakemake-6.15.1/tests/test_issue958/a.txt000066400000000000000000000000001417574166400203300ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue958/expected-results/000077500000000000000000000000001417574166400226615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_issue958/expected-results/.gitignore000066400000000000000000000000001417574166400246370ustar00rootroot00000000000000snakemake-6.15.1/tests/test_job_properties/000077500000000000000000000000001417574166400210115ustar00rootroot00000000000000snakemake-6.15.1/tests/test_job_properties/Snakefile000066400000000000000000000005571417574166400226440ustar00rootroot00000000000000 rule all: input: "test2.out" rule a: output: "test1.in" shell: "touch {output}" rule b: input: "test1.in" output: "test1.out" group: "x" shell: "touch {output}" rule c: input: "test1.out" output: "test2.out" group: "x" shell: "touch {output}" snakemake-6.15.1/tests/test_job_properties/expected-results/000077500000000000000000000000001417574166400243115ustar00rootroot00000000000000snakemake-6.15.1/tests/test_job_properties/expected-results/test2.out000066400000000000000000000000001417574166400260710ustar00rootroot00000000000000snakemake-6.15.1/tests/test_job_properties/qsub.py000077500000000000000000000004771417574166400223500ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) with open("qsub.log", "a") as log: print(job_properties, file=log) print(random.randint(1, 100)) os.system("sh {}".format(jobscript)) snakemake-6.15.1/tests/test_jupyter_notebook/000077500000000000000000000000001417574166400213655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_jupyter_notebook/Notebook.ipynb000066400000000000000000000017421417574166400242140ustar00rootroot00000000000000{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with open(snakemake.input.infile) as fd:\n", " data = fd.read()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new_results = data + '!!!'" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with open(snakemake.output.outfile, 'w') as fd:\n", " fd.write(new_results)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } snakemake-6.15.1/tests/test_jupyter_notebook/Snakefile000066400000000000000000000015621417574166400232150ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'result_final.txt', 'book.result_final.txt', rule foo: output: fname = 'data.txt' run: with open(output.fname, 'w') as fd: fd.write('result of serious computation') rule bar: input: infile = 'data.txt' output: outfile = 'result_intermediate.txt' conda: 'env.yaml' notebook: 'Notebook.ipynb' rule baz: input: infile = 'result_intermediate.txt' output: outfile = 'result_final.txt' log: notebook = 'Notebook_Processed.ipynb' conda: 'env.yaml' notebook: 'Notebook.ipynb' rule wild: input: infile = 'result_intermediate.txt' output: outfile = '{what}.result_final.txt' conda: 'env.yaml' notebook: 'Note{wildcards.what}.ipynb' snakemake-6.15.1/tests/test_jupyter_notebook/env.yaml000066400000000000000000000001221417574166400230340ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - python >=3.5 - jupyter snakemake-6.15.1/tests/test_jupyter_notebook/expected-results/000077500000000000000000000000001417574166400246655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_jupyter_notebook/expected-results/result_final.txt000066400000000000000000000000431417574166400301120ustar00rootroot00000000000000result of serious computation!!!!!!snakemake-6.15.1/tests/test_jupyter_notebook/expected-results/result_intermediate.txt000066400000000000000000000000401417574166400314700ustar00rootroot00000000000000result of serious computation!!!snakemake-6.15.1/tests/test_jupyter_notebook_draft/000077500000000000000000000000001417574166400225455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_jupyter_notebook_draft/Snakefile000066400000000000000000000016231417574166400243730ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'result_final.txt', 'book.result_final.txt', rule foo: output: fname = 'data.txt' run: with open(output.fname, 'w') as fd: fd.write('result of serious computation') rule bar: input: infile = 'data.txt' output: outfile = 'results/result_intermediate.txt' conda: 'env.yaml' notebook: 'Notebook.py.ipynb' rule baz: input: infile = 'results/result_intermediate.txt' output: outfile = 'result_final.txt' log: notebook = 'Notebook_Processed.ipynb' conda: 'env.yaml' notebook: 'Notebook.py.ipynb' rule wild: input: infile = 'results/result_intermediate.txt' output: outfile = '{what}.result_final.txt' conda: 'env.yaml' notebook: 'Note{wildcards.what}.py.ipynb' snakemake-6.15.1/tests/test_jupyter_notebook_draft/data.txt000066400000000000000000000000351417574166400242150ustar00rootroot00000000000000result of serious computationsnakemake-6.15.1/tests/test_jupyter_notebook_draft/env.yaml000066400000000000000000000001401417574166400242140ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - python >=3.5 - jupyter - ipykernel snakemake-6.15.1/tests/test_jupyter_notebook_draft/expected-results/000077500000000000000000000000001417574166400260455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_jupyter_notebook_draft/expected-results/Notebook.py.ipynb000066400000000000000000000065031417574166400313230ustar00rootroot00000000000000{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "f8c5fca4", "metadata": { "tags": [ "snakemake-job-properties" ] }, "outputs": [], "source": [ "\n", "######## snakemake preamble start (automatically inserted, do not edit) ########\n", "import sys; sys.path.extend(['/Users/johannes/scms/snakemake', '/Users/johannes/scms/snakemake/tests/test_jupyter_notebook_draft']); import pickle; snakemake = pickle.loads(b'\\x80\\x03csnakemake.script\\nSnakemake\\nq\\x00)\\x81q\\x01}q\\x02(X\\x05\\x00\\x00\\x00inputq\\x03csnakemake.io\\nInputFiles\\nq\\x04)\\x81q\\x05X\\x08\\x00\\x00\\x00data.txtq\\x06a}q\\x07(X\\x06\\x00\\x00\\x00_namesq\\x08}q\\tX\\x06\\x00\\x00\\x00infileq\\nK\\x00N\\x86q\\x0bsX\\x12\\x00\\x00\\x00_allowed_overridesq\\x0c]q\\r(X\\x05\\x00\\x00\\x00indexq\\x0eX\\x04\\x00\\x00\\x00sortq\\x0feh\\x0ecfunctools\\npartial\\nq\\x10cbuiltins\\ngetattr\\nq\\x11csnakemake.io\\nNamedlist\\nq\\x12X\\x0f\\x00\\x00\\x00_used_attributeq\\x13\\x86q\\x14Rq\\x15\\x85q\\x16Rq\\x17(h\\x15)}q\\x18X\\x05\\x00\\x00\\x00_nameq\\x19h\\x0esNtq\\x1abh\\x0fh\\x10h\\x15\\x85q\\x1bRq\\x1c(h\\x15)}q\\x1dh\\x19h\\x0fsNtq\\x1ebh\\nh\\x06ubX\\x06\\x00\\x00\\x00outputq\\x1fcsnakemake.io\\nOutputFiles\\nq )\\x81q!X\\x17\\x00\\x00\\x00result_intermediate.txtq\"a}q#(h\\x08}q$X\\x07\\x00\\x00\\x00outfileq%K\\x00N\\x86q&sh\\x0c]q\\'(h\\x0eh\\x0feh\\x0eh\\x10h\\x15\\x85q(Rq)(h\\x15)}q*h\\x19h\\x0esNtq+bh\\x0fh\\x10h\\x15\\x85q,Rq-(h\\x15)}q.h\\x19h\\x0fsNtq/bh%h\"ubX\\x06\\x00\\x00\\x00paramsq0csnakemake.io\\nParams\\nq1)\\x81q2}q3(h\\x08}q4h\\x0c]q5(h\\x0eh\\x0feh\\x0eh\\x10h\\x15\\x85q6Rq7(h\\x15)}q8h\\x19h\\x0esNtq9bh\\x0fh\\x10h\\x15\\x85q:Rq;(h\\x15)}qcsnakemake.io\\nWildcards\\nq?)\\x81q@}qA(h\\x08}qBh\\x0c]qC(h\\x0eh\\x0feh\\x0eh\\x10h\\x15\\x85qDRqE(h\\x15)}qFh\\x19h\\x0esNtqGbh\\x0fh\\x10h\\x15\\x85qHRqI(h\\x15)}qJh\\x19h\\x0fsNtqKbubX\\x07\\x00\\x00\\x00threadsqLK\\x01X\\t\\x00\\x00\\x00resourcesqMcsnakemake.io\\nResources\\nqN)\\x81qO(K\\x01K\\x01X0\\x00\\x00\\x00/var/folders/l0/9bhq7fc12lgfknlx5gyxckv00000gp/TqPe}qQ(h\\x08}qR(X\\x06\\x00\\x00\\x00_coresqSK\\x00N\\x86qTX\\x06\\x00\\x00\\x00_nodesqUK\\x01N\\x86qVX\\x06\\x00\\x00\\x00tmpdirqWK\\x02N\\x86qXuh\\x0c]qY(h\\x0eh\\x0feh\\x0eh\\x10h\\x15\\x85qZRq[(h\\x15)}q\\\\h\\x19h\\x0esNtq]bh\\x0fh\\x10h\\x15\\x85q^Rq_(h\\x15)}q`h\\x19h\\x0fsNtqabhSK\\x01hUK\\x01hWhPubX\\x03\\x00\\x00\\x00logqbcsnakemake.io\\nLog\\nqc)\\x81qd}qe(h\\x08}qfh\\x0c]qg(h\\x0eh\\x0feh\\x0eh\\x10h\\x15\\x85qhRqi(h\\x15)}qjh\\x19h\\x0esNtqkbh\\x0fh\\x10h\\x15\\x85qlRqm(h\\x15)}qnh\\x19h\\x0fsNtqobubX\\x06\\x00\\x00\\x00configqp}qqX\\x04\\x00\\x00\\x00ruleqrX\\x03\\x00\\x00\\x00barqsX\\x0f\\x00\\x00\\x00bench_iterationqtNX\\t\\x00\\x00\\x00scriptdirquX@\\x00\\x00\\x00/Users/johannes/scms/snakemake/tests/test_jupyter_notebook_draftqvub.'); from snakemake.logging import logger; logger.printshellcmds = False; import os; os.chdir(r'/Users/johannes/scms/snakemake/tests/test_jupyter_notebook_draft');\n", "######## snakemake preamble end #########\n" ] }, { "cell_type": "code", "execution_count": null, "id": "4df7dcd5", "metadata": {}, "outputs": [], "source": [ "# start coding here" ] } ], "metadata": { "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 5 }snakemake-6.15.1/tests/test_jupyter_notebook_draft/expected-results/results/000077500000000000000000000000001417574166400275465ustar00rootroot00000000000000snakemake-6.15.1/tests/test_jupyter_notebook_draft/expected-results/results/.gitkeep000066400000000000000000000000001417574166400311650ustar00rootroot00000000000000snakemake-6.15.1/tests/test_keyword_list/000077500000000000000000000000001417574166400205025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_keyword_list/Snakefile000066400000000000000000000002221417574166400223220ustar00rootroot00000000000000rule: input: bla="test.in1 test.in2".split() output: "test.out" run: print(input.bla) assert len(input.bla) == 2 shell("touch {output}") snakemake-6.15.1/tests/test_keyword_list/expected-results/000077500000000000000000000000001417574166400240025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_keyword_list/expected-results/test.out000066400000000000000000000000001417574166400255000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_keyword_list/test.in1000066400000000000000000000000001417574166400220600ustar00rootroot00000000000000snakemake-6.15.1/tests/test_keyword_list/test.in2000066400000000000000000000000001417574166400220610ustar00rootroot00000000000000snakemake-6.15.1/tests/test_kubernetes.py000066400000000000000000000052501417574166400205060ustar00rootroot00000000000000import os import sys import uuid sys.path.insert(0, os.path.dirname(__file__)) from common import * @pytest.fixture(scope="module") def kubernetes_cluster(): class Cluster: def __init__(self): self.cluster = "t-{}".format(uuid.uuid4()) self.bucket_name = self.cluster shell( """ gcloud container clusters create {self.cluster} --num-nodes 3 --scopes storage-rw --zone us-central1-a --machine-type n1-standard-2 gcloud container clusters get-credentials {self.cluster} --zone us-central1-a gsutil mb gs://{self.bucket_name} """ ) def delete(self): shell( """ gcloud container clusters delete {self.cluster} --zone us-central1-a --quiet || true gsutil rm -r gs://{self.bucket_name} || true """ ) def run(self, test="test_kubernetes", **kwargs): try: run( dpath(test), kubernetes="default", default_remote_provider="GS", default_remote_prefix=self.bucket_name, no_tmpdir=True, **kwargs ) except Exception as e: shell( "for p in `kubectl get pods | grep ^snakejob- | cut -f 1 -d ' '`; do kubectl logs $p; done" ) raise e def reset(self): print("Resetting bucket...", file=sys.stderr) shell("gsutil -m rm -r gs://{self.bucket_name}/* || true") cluster = Cluster() yield cluster cluster.delete() @gcloud def test_kubernetes_plain(kubernetes_cluster): kubernetes_cluster.reset() kubernetes_cluster.run() @gcloud @pytest.mark.skip(reason="need a faster cloud compute instance to run this") def test_kubernetes_conda(kubernetes_cluster): kubernetes_cluster.reset() kubernetes_cluster.run(use_conda=True) @gcloud @pytest.mark.skip(reason="need a faster cloud compute instance to run this") def test_kubernetes_singularity(kubernetes_cluster): kubernetes_cluster.reset() kubernetes_cluster.run(use_singularity=True) @gcloud @pytest.mark.skip(reason="need a faster cloud compute instance to run this") def test_kubernetes_conda_singularity(kubernetes_cluster): kubernetes_cluster.reset() kubernetes_cluster.run(use_singularity=True, use_conda=True) @gcloud() @pytest.mark.skip(reason="need a faster cloud compute instance to run this") def test_issue1041(kubernetes_cluster): kubernetes_cluster.reset() kubernetes_cluster.run(test="test_issue1041") snakemake-6.15.1/tests/test_kubernetes/000077500000000000000000000000001417574166400201325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_kubernetes/README.md000066400000000000000000000011401417574166400214050ustar00rootroot00000000000000# Executing this test case To run this test, you need a running kubernetes setup. For google cloud, see [here](https://snakemake.readthedocs.io/en/stable/executing/cloud.html#setup-kubernetes-on-google-cloud-engine). With this, you can execute in case of google cloud: snakemake --kubernetes --use-conda --default-remote-provider GS --default-remote-prefix my-bucket while replacing ``my-bucket`` with your storage bucket. The same test should also work on amazon (given that kubernetes is setup): snakemake --kubernetes --use-conda --default-remote-provider S3 --default-remote-prefix my-bucket snakemake-6.15.1/tests/test_kubernetes/Snakefile000066400000000000000000000017551417574166400217660ustar00rootroot00000000000000import os from snakemake.remote.GS import RemoteProvider as GSRemoteProvider GS = GSRemoteProvider() rule all: input: "landsat-data.txt.bz2" rule copy: input: GS.remote("gcp-public-data-landsat/LC08/01/001/003/LC08_L1GT_001003_20170430_20170501_01_RT/LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt") output: "landsat-data.txt" resources: mem_mb=100 run: # we could test volume size like this but it is currently unclear what f1-micro instances provide as boot disk size #stats = os.statvfs('.') #volume_gib = stats.f_bsize * stats.f_blocks / 1.074e9 #assert volume_gib > 90 shell("cp {input} {output}") rule pack: input: "landsat-data.txt" output: "landsat-data.txt.bz2" conda: "envs/gzip.yaml" singularity: "docker://continuumio/miniconda3:4.4.10" log: "logs/pack.log" shell: "bzip2 -c {input} > {output}; echo successful > {log}" snakemake-6.15.1/tests/test_kubernetes/envs/000077500000000000000000000000001417574166400211055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_kubernetes/envs/gzip.yaml000066400000000000000000000000621417574166400227400ustar00rootroot00000000000000channels: - conda-forge dependencies: - bzip2 snakemake-6.15.1/tests/test_kubernetes/expected-results/000077500000000000000000000000001417574166400234325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_kubernetes/expected-results/.gitignore000066400000000000000000000000001417574166400254100ustar00rootroot00000000000000snakemake-6.15.1/tests/test_linting.py000066400000000000000000000023631417574166400200050ustar00rootroot00000000000000import os from pathlib import Path import subprocess as sp from itertools import product import pytest LINT_DIR = Path(__file__).parent.joinpath("linting") @pytest.mark.parametrize( "lint, case", product(os.listdir(LINT_DIR), ["positive", "negative"]) ) def test_lint(lint, case): lint = LINT_DIR.joinpath(lint) try: out = ( sp.check_output( [ "python", "-m", "snakemake", "--lint", "--directory", lint, "--snakefile", lint.joinpath(case).with_suffix(".smk"), ], stderr=sp.STDOUT, ) .decode() .strip() ) if case == "positive": assert out == "Congratulations, your workflow is in a good condition!" else: print(out) assert ( False ), "Negative lint example but linting command exited with status 0." except sp.CalledProcessError as e: if case == "negative": assert e.output.decode().strip() else: raise e else: print(out) assert out snakemake-6.15.1/tests/test_list_untracked/000077500000000000000000000000001417574166400207765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_list_untracked/Snakefile000066400000000000000000000002301417574166400226150ustar00rootroot00000000000000shell.executable("bash") rule run_test: output: "leftover_files" shell: "python -m snakemake -s Snakefile_inner --list-untracked 2> {output}" snakemake-6.15.1/tests/test_list_untracked/Snakefile_inner000066400000000000000000000007431417574166400240210ustar00rootroot00000000000000shell.executable("bash") shell("mkdir -p some_workdir/some_subdir && \ touch some_workdir/used_input && \ touch some_workdir/some_subdir/used_output && \ touch some_workdir/some_subdir/not_used && \ touch some_workdir/log && \ touch some_workdir/.hiddenfile && \ mkdir -p some_workdir/.hiddendir && \ touch some_workdir/.hiddendir/not_used2") workdir: "some_workdir" rule a: input: "used_input" output: "some_subdir/used_output" log: "log" snakemake-6.15.1/tests/test_list_untracked/expected-results/000077500000000000000000000000001417574166400242765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_list_untracked/expected-results/leftover_files000066400000000000000000000000551417574166400272310ustar00rootroot00000000000000Building DAG of jobs... some_subdir/not_used snakemake-6.15.1/tests/test_list_untracked/expected-results/leftover_files_WIN000066400000000000000000000000551417574166400277460ustar00rootroot00000000000000Building DAG of jobs... some_subdir\not_used snakemake-6.15.1/tests/test_local_import/000077500000000000000000000000001417574166400204475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_local_import/Snakefile000066400000000000000000000001121417574166400222650ustar00rootroot00000000000000import bar import foo rule: output: "test.out" shell: "touch {output}" snakemake-6.15.1/tests/test_local_import/bar.py000066400000000000000000000000001417574166400215530ustar00rootroot00000000000000snakemake-6.15.1/tests/test_local_import/expected-results/000077500000000000000000000000001417574166400237475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_local_import/expected-results/test.out000066400000000000000000000000001417574166400254450ustar00rootroot00000000000000snakemake-6.15.1/tests/test_local_import/foo/000077500000000000000000000000001417574166400212325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_local_import/foo/__init__.py000066400000000000000000000000001417574166400233310ustar00rootroot00000000000000snakemake-6.15.1/tests/test_log_input/000077500000000000000000000000001417574166400177635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_log_input/Snakefile000066400000000000000000000005441417574166400216120ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test.a.txt" rule a: output: "unused.{sample}.txt" log: "logs/{sample}.txt" shell: "echo {wildcards.sample} > {log}; touch {output}" rule b: input: "logs/{sample}.txt" output: "test.{sample}.txt" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_log_input/expected-results/000077500000000000000000000000001417574166400232635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_log_input/expected-results/test.a.txt000066400000000000000000000000021417574166400252120ustar00rootroot00000000000000a snakemake-6.15.1/tests/test_long_shell/000077500000000000000000000000001417574166400201115ustar00rootroot00000000000000snakemake-6.15.1/tests/test_long_shell/Snakefile000066400000000000000000000001741417574166400217370ustar00rootroot00000000000000shell.executable("bash") rule: input: "test.in" output: "test.out" shell: "cp {input} {output}; #" + "x" * 64 * 4096 snakemake-6.15.1/tests/test_long_shell/expected-results/000077500000000000000000000000001417574166400234115ustar00rootroot00000000000000snakemake-6.15.1/tests/test_long_shell/expected-results/test.out000066400000000000000000000000101417574166400251100ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_long_shell/test.in000066400000000000000000000000101417574166400214070ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_many_jobs/000077500000000000000000000000001417574166400177445ustar00rootroot00000000000000snakemake-6.15.1/tests/test_many_jobs/Snakefile000066400000000000000000000005541417574166400215740ustar00rootroot00000000000000 rule: input: expand("{sample}.out", sample=range(50000)) rule: input: "{sample}.inter2" output: "{sample}.out" shell: "touch {output}" rule: input: "{sample}.inter1" output: "{sample}.inter2" shell: "touch {output}" rule: input: "{sample}.in" output: "{sample}.inter1" shell: "touch {output}" rule: output: "{sample}.in" shell: "touch {output}" snakemake-6.15.1/tests/test_metadata_migration/000077500000000000000000000000001417574166400216145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_metadata_migration/.snakemake/000077500000000000000000000000001417574166400236315ustar00rootroot00000000000000snakemake-6.15.1/tests/test_metadata_migration/.snakemake/log/000077500000000000000000000000001417574166400244125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_metadata_migration/.snakemake/log/2020-11-03T113643.403148.snakemake.log000066400000000000000000000011371417574166400314470ustar00rootroot00000000000000Building DAG of jobs... Using shell: /usr/bin/bash Provided cores: 1 (use --cores to define parallelism) Rules claiming more threads will be scaled down. Job counts: count jobs 1 a 1 [Tue Nov 3 11:36:43 2020] rule a: output: some/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryverylong/path.txt jobid: 0 [Tue Nov 3 11:36:43 2020] Finished job 0. 1 of 1 steps (100%) done Complete log: /home/johannes/scms/snakemake/tests/test_metadata_migration/.snakemake/log/2020-11-03T113643.403148.snakemake.log snakemake-6.15.1/tests/test_metadata_migration/.snakemake/log/2020-11-03T113712.242836.snakemake.log000066400000000000000000000012431417574166400314470ustar00rootroot00000000000000Building DAG of jobs... Using shell: /usr/bin/bash Provided cores: 1 (use --cores to define parallelism) Rules claiming more threads will be scaled down. Job counts: count jobs 1 a 1 [Tue Nov 3 11:37:12 2020] rule a: output: some/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryverylong/path.txt jobid: 0 snakemake-6.15.1/tests/test_metadata_migration/.snakemake/log/2020-11-03T113759.235916.snakemake.log000066400000000000000000000015541417574166400314700ustar00rootroot00000000000000Building DAG of jobs... Using shell: /usr/bin/bash Provided cores: 1 (use --cores to define parallelism) Rules claiming more threads will be scaled down. Job counts: count jobs 1 a 1 [Tue Nov 3 11:37:59 2020] rule a: output: some/veryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryverylong/path.txt jobid: 0 [Tue Nov 3 11:37:59 2020] Finished job 0. 1 of 1 steps (100%) done Complete log: /home/johannes/scms/snakemake/tests/test_metadata_migration/.snakemake/log/2020-11-03T113759.235916.snakemake.log snakemake-6.15.1/tests/test_metadata_migration/Snakefile000066400000000000000000000007731417574166400234470ustar00rootroot00000000000000rule a: output: "some/veryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryverylong/path.txt" shell: "echo updated > {output}" snakemake-6.15.1/tests/test_module_complex/000077500000000000000000000000001417574166400207775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/Snakefile000066400000000000000000000011411417574166400226200ustar00rootroot00000000000000from snakemake.utils import min_version min_version("6.1.1") configfile: "config.yaml" remote_snakefile = "https://raw.githubusercontent.com/snakemake-workflows/dna-seq-varlociraptor/v1.0.0/workflow/Snakefile" # import 1 module first: snakefile: remote_snakefile replace_prefix: { "benchmarking/": "benchmarking/first/", "logs/": "logs/first/", "results/": "results/first/", "resources/": "resources/first/", } config: config use rule * from first as first_* rule all: input: rules.first_all.input snakemake-6.15.1/tests/test_module_complex/config.yaml000066400000000000000000000102571417574166400231350ustar00rootroot00000000000000samples: samples.tsv units: units.tsv igv_report: activate: true ref: # Number of chromosomes to consider for calling. # The first n entries of the FASTA will be considered. n_chromosomes: 25 # Ensembl species name species: homo_sapiens # Ensembl release release: 100 # Genome build build: GRCh38 primers: trimming: activate: false # path to fasta files containg primer sequences primers_fa1: "path/to/primer-fa1" primers_fa2: "path/to/primer-fa2" # Library mean + error determines the maximum insert size between the outer primer ends. library_error: 0 # Mean insert size between the outer primer ends. library_length: 0 # Estimation of tumor mutational burden. tmb: activate: false # Size of the sequenced coding genome for TMB estimation # Attention: when doing panel sequencing, set this to the # CAPTURED coding genome, not the entire one! coding_genome_size: 3e7 # Plotting modes - hist (stratified histogram) # or curve (stratified curve) mode: - hist - curve # Name of the tumor sample in the scenario.yaml. tumor_sample: tumor somatic_events: - SOMATIC_TUMOR_LOW - SOMATIC_TUMOR_MEDIUM - SOMATIC_TUMOR_HIGH # printing of variants in a matrix, sorted by recurrence report: # if stratificatio is deactivated, one oncoprint for all # samples will be created. activate: true max_read_depth: 250 stratify: activate: false # select a sample sheet column for stratification by-column: condition # printing of variants in a table format tables: activate: true # vembrane expression to generate the table output: expression: "INDEX, CHROM, POS, REF, ALT[0], ANN['Consequence'], ANN['IMPACT'], ANN['SYMBOL'], ANN['Feature']" genotype: true coverage: true event_prob: true generate_excel: true calling: delly: activate: true freebayes: activate: true # See https://varlociraptor.github.io/docs/calling/#generic-variant-calling scenario: scenario.yaml filter: # Filter candidate variants (this filter helps to keep the number of evaluated candidates small). # It should ideally generate a superset of all other filters defined below. # Annotation of candidate variants tries to be as fast as possible, only using VEP # default parameters. candidates: "ANN['IMPACT'] != 'LOW'" # Add any number of named filters here. They will be applied independenty, # and can be referred in FDR control below to generate calls for different events. # In particular, you can also filter by ID or dbsnp annotations here. # See http://snpeff.sourceforge.net/SnpSift.html#filter filtername: "ANN['IMPACT'] == 'HIGH'" fdr-control: threshold: 0.05 events: # Add any number of events here to filter for. somatic: varlociraptor: - "SOMATIC_TUMOR_HIGH" - "SOMATIC_TUMOR_MEDIUM" filter: filtername # Will be ignored if calc_consensus_reads is activated remove_duplicates: activate: true calc_consensus_reads: activate: true annotations: vcfs: activate: true # annotate with known variants from ensembl known: resources/variation.vcf.gz # add more external VCFs as needed # cosmic: path/to/cosmic.vcf.gz dgidb: activate: true # List of datasources for filtering dgidb entries # Available sources can be found on http://dgidb.org/api/v2/interaction_sources.json datasources: - DrugBank vep: # Consider removing --everything if VEP is slow for you (e.g. for WGS), # and think carefully about which annotations you need. params: --everything plugins: # Add any plugin from https://www.ensembl.org/info/docs/tools/vep/script/vep_plugins.html # Plugin args can be passed as well, e.g. "LoFtool,path/to/custom/scores.txt". - LoFtool params: cutadapt: "" picard: MarkDuplicates: "VALIDATION_STRINGENCY=LENIENT" gatk: BaseRecalibrator: "" applyBQSR: "" varlociraptor_preprocess: max_depth: 200 # Set when processing panel data with high coverage varlociraptor_call: omit_read_bias: false # Set true when processing panel data freebayes: min_alternate_fraction: 0.05 # Reduce for calling variants with lower VAFs snakemake-6.15.1/tests/test_module_complex/data/000077500000000000000000000000001417574166400217105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/data/a.1.fq000066400000000000000000000000001417574166400226050ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/data/a.2.fq000066400000000000000000000000001417574166400226060ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/expected-results/000077500000000000000000000000001417574166400242775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/expected-results/.gitkeep000066400000000000000000000000001417574166400257160ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/samples.tsv000066400000000000000000000000701417574166400231760ustar00rootroot00000000000000sample_name alias group platform purity a a a ILLUMINA snakemake-6.15.1/tests/test_module_complex/scenario.yaml000066400000000000000000000000001417574166400234540ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex/units.tsv000066400000000000000000000001111417574166400226700ustar00rootroot00000000000000sample_name unit_name fq1 fq2 sra adapters a a data/a.1.fq data/a.2.fq snakemake-6.15.1/tests/test_module_complex2/000077500000000000000000000000001417574166400210615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_complex2/Snakefile000066400000000000000000000012471417574166400227110ustar00rootroot00000000000000from snakemake.utils import min_version min_version("6.0") configfile: "config.yaml" remote_workflow_directory = "https://raw.githubusercontent.com/snakemake-workflows/dna-seq-varlociraptor/49e8479402e8094a6c0ade5f1ec6803cee255c79" workflow_snakefile = f"{remote_workflow_directory}/workflow/Snakefile" # basic ## use basic workflow module basic: snakefile: workflow_snakefile replace_prefix: { "benchmarking/": "benchmarking/basic/", "logs/": "logs/basic/", "results/": "results/basic/", } config: config use rule * from basic as basic_* rule all: input: rules.basic_all.input snakemake-6.15.1/tests/test_module_complex2/config.yaml000066400000000000000000000102571417574166400232170ustar00rootroot00000000000000samples: samples.tsv units: units.tsv igv_report: activate: true ref: # Number of chromosomes to consider for calling. # The first n entries of the FASTA will be considered. n_chromosomes: 25 # Ensembl species name species: homo_sapiens # Ensembl release release: 100 # Genome build build: GRCh38 primers: trimming: activate: false # path to fasta files containg primer sequences primers_fa1: "path/to/primer-fa1" primers_fa2: "path/to/primer-fa2" # Library mean + error determines the maximum insert size between the outer primer ends. library_error: 0 # Mean insert size between the outer primer ends. library_length: 0 # Estimation of tumor mutational burden. tmb: activate: false # Size of the sequenced coding genome for TMB estimation # Attention: when doing panel sequencing, set this to the # CAPTURED coding genome, not the entire one! coding_genome_size: 3e7 # Plotting modes - hist (stratified histogram) # or curve (stratified curve) mode: - hist - curve # Name of the tumor sample in the scenario.yaml. tumor_sample: tumor somatic_events: - SOMATIC_TUMOR_LOW - SOMATIC_TUMOR_MEDIUM - SOMATIC_TUMOR_HIGH # printing of variants in a matrix, sorted by recurrence report: # if stratificatio is deactivated, one oncoprint for all # samples will be created. activate: true max_read_depth: 250 stratify: activate: false # select a sample sheet column for stratification by-column: condition # printing of variants in a table format tables: activate: true # vembrane expression to generate the table output: expression: "INDEX, CHROM, POS, REF, ALT[0], ANN['Consequence'], ANN['IMPACT'], ANN['SYMBOL'], ANN['Feature']" genotype: true coverage: true event_prob: true generate_excel: true calling: delly: activate: true freebayes: activate: true # See https://varlociraptor.github.io/docs/calling/#generic-variant-calling scenario: scenario.yaml filter: # Filter candidate variants (this filter helps to keep the number of evaluated candidates small). # It should ideally generate a superset of all other filters defined below. # Annotation of candidate variants tries to be as fast as possible, only using VEP # default parameters. candidates: "ANN['IMPACT'] != 'LOW'" # Add any number of named filters here. They will be applied independenty, # and can be referred in FDR control below to generate calls for different events. # In particular, you can also filter by ID or dbsnp annotations here. # See http://snpeff.sourceforge.net/SnpSift.html#filter filtername: "ANN['IMPACT'] == 'HIGH'" fdr-control: threshold: 0.05 events: # Add any number of events here to filter for. somatic: varlociraptor: - "SOMATIC_TUMOR_HIGH" - "SOMATIC_TUMOR_MEDIUM" filter: filtername # Will be ignored if calc_consensus_reads is activated remove_duplicates: activate: true calc_consensus_reads: activate: true annotations: vcfs: activate: true # annotate with known variants from ensembl known: resources/variation.vcf.gz # add more external VCFs as needed # cosmic: path/to/cosmic.vcf.gz dgidb: activate: true # List of datasources for filtering dgidb entries # Available sources can be found on http://dgidb.org/api/v2/interaction_sources.json datasources: - DrugBank vep: # Consider removing --everything if VEP is slow for you (e.g. for WGS), # and think carefully about which annotations you need. params: --everything plugins: # Add any plugin from https://www.ensembl.org/info/docs/tools/vep/script/vep_plugins.html # Plugin args can be passed as well, e.g. "LoFtool,path/to/custom/scores.txt". - LoFtool params: cutadapt: "" picard: MarkDuplicates: "VALIDATION_STRINGENCY=LENIENT" gatk: BaseRecalibrator: "" applyBQSR: "" varlociraptor_preprocess: max_depth: 200 # Set when processing panel data with high coverage varlociraptor_call: omit_read_bias: false # Set true when processing panel data freebayes: min_alternate_fraction: 0.05 # Reduce for calling variants with lower VAFs 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"docker://continuumio/miniconda3:4.4.10"}snakemake-6.15.1/tests/test_module_report/.snakemake/metadata/dGVzdC5jc3Y=000066400000000000000000000017331417574166400264230ustar00rootroot00000000000000{"version": null, "code": "gAMoQxJ0AGQBfA58EWQCjQMBAGQAUwBxAChYBQAAAGlucHV0cQFYBgAAAG91dHB1dHECWAYAAABwYXJhbXNxA1gJAAAAd2lsZGNhcmRzcQRYBwAAAHRocmVhZHNxBVgJAAAAcmVzb3VyY2VzcQZYAwAAAGxvZ3EHWAcAAAB2ZXJzaW9ucQhYBAAAAHJ1bGVxCVgJAAAAY29uZGFfZW52cQpYDQAAAGNvbnRhaW5lcl9pbWdxC1gQAAAAc2luZ3VsYXJpdHlfYXJnc3EMWA8AAAB1c2Vfc2luZ3VsYXJpdHlxDVgLAAAAZW52X21vZHVsZXNxDlgMAAAAYmVuY2hfcmVjb3JkcQ9YBQAAAGpvYmlkcRBYCAAAAGlzX3NoZWxscRFYDwAAAGJlbmNoX2l0ZXJhdGlvbnESWA8AAABjbGVhbnVwX3NjcmlwdHNxE1gKAAAAc2hhZG93X2RpcnEUdHEVXXEWKE5YVwAAAGN1cmwgaHR0cDovL3NhbXBsZWNzdnMuczMuYW1hem9uYXdzLmNvbS9TYWNyYW1lbnRvcmVhbGVzdGF0ZXRyYW5zYWN0aW9ucy5jc3YgPiB7b3V0cHV0fXEXaA9oEoZxGGVYBQAAAHNoZWxscRmFcRp0cRsu", "rule": "d", "input": [], "log": [], "params": [], "shellcmd": "curl http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv > test.csv", "incomplete": false, "starttime": 1585317518.3600373, "endtime": 1585317519.4120433, "job_hash": 5729990202001040214, "conda_env": null, "container_img_url": null}snakemake-6.15.1/tests/test_module_report/.snakemake/metadata/dGVzdGRpcg==000066400000000000000000000020461417574166400265200ustar00rootroot00000000000000{"version": null, "code": 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null}snakemake-6.15.1/tests/test_module_report/Snakefile000066400000000000000000000003631417574166400224710ustar00rootroot00000000000000 module test: snakefile: "https://raw.githubusercontent.com/snakemake/snakemake/v6.3.0/tests/test_report/Snakefile" config: config replace_prefix: {"results/": "results/testmodule/"} use rule * from test snakemake-6.15.1/tests/test_module_report/custom-stylesheet.css000066400000000000000000000671271417574166400250730ustar00rootroot00000000000000#brand { margin: auto; height: 30px; width: 311px; background-repeat: no-repeat; background-size: 311px 30px; background-image: url("data:image/svg+xml,%3C%3Fxml version='1.0' encoding='UTF-8' standalone='no'%3F%3E%3C!-- Creator: CorelDRAW --%3E%3Csvg xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:cc='http://creativecommons.org/ns%23' xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns%23' xmlns:svg='http://www.w3.org/2000/svg' xmlns='http://www.w3.org/2000/svg' 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snakemake-6.15.1/tests/test_module_report/expected-results/000077500000000000000000000000001417574166400241435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_report/expected-results/report.html000066400000000000000000060345031417574166400263570ustar00rootroot00000000000000 Snakemake Report

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Workflow

This is the workflow description. Test reference fig1.svg.

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Step 2

testmodel

Statistics

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snakemake-6.15.1/tests/test_module_report/fig1.svg000066400000000000000000000672611417574166400222260ustar00rootroot00000000000000 snakemake-6.15.1/tests/test_module_report/test.csv000066400000000000000000003350371417574166400223520ustar00rootroot00000000000000street,city,zip,state,beds,baths,sq__ft,type,sale_date,price,latitude,longitude 3526 HIGH ST,SACRAMENTO,95838,CA,2,1,836,Residential,Wed May 21 00:00:00 EDT 2008,59222,38.631913,-121.434879 51 OMAHA CT,SACRAMENTO,95823,CA,3,1,1167,Residential,Wed May 21 00:00:00 EDT 2008,68212,38.478902,-121.431028 2796 BRANCH ST,SACRAMENTO,95815,CA,2,1,796,Residential,Wed May 21 00:00:00 EDT 2008,68880,38.618305,-121.443839 2805 JANETTE WAY,SACRAMENTO,95815,CA,2,1,852,Residential,Wed May 21 00:00:00 EDT 2008,69307,38.616835,-121.439146 6001 MCMAHON DR,SACRAMENTO,95824,CA,2,1,797,Residential,Wed May 21 00:00:00 EDT 2008,81900,38.51947,-121.435768 5828 PEPPERMILL CT,SACRAMENTO,95841,CA,3,1,1122,Condo,Wed May 21 00:00:00 EDT 2008,89921,38.662595,-121.327813 6048 OGDEN NASH WAY,SACRAMENTO,95842,CA,3,2,1104,Residential,Wed May 21 00:00:00 EDT 2008,90895,38.681659,-121.351705 2561 19TH AVE,SACRAMENTO,95820,CA,3,1,1177,Residential,Wed May 21 00:00:00 EDT 2008,91002,38.535092,-121.481367 11150 TRINITY RIVER DR Unit 114,RANCHO CORDOVA,95670,CA,2,2,941,Condo,Wed May 21 00:00:00 EDT 2008,94905,38.621188,-121.270555 7325 10TH ST,RIO LINDA,95673,CA,3,2,1146,Residential,Wed May 21 00:00:00 EDT 2008,98937,38.700909,-121.442979 645 MORRISON AVE,SACRAMENTO,95838,CA,3,2,909,Residential,Wed May 21 00:00:00 EDT 2008,100309,38.637663,-121.45152 4085 FAWN CIR,SACRAMENTO,95823,CA,3,2,1289,Residential,Wed May 21 00:00:00 EDT 2008,106250,38.470746,-121.458918 2930 LA ROSA RD,SACRAMENTO,95815,CA,1,1,871,Residential,Wed May 21 00:00:00 EDT 2008,106852,38.618698,-121.435833 2113 KIRK WAY,SACRAMENTO,95822,CA,3,1,1020,Residential,Wed May 21 00:00:00 EDT 2008,107502,38.482215,-121.492603 4533 LOCH HAVEN WAY,SACRAMENTO,95842,CA,2,2,1022,Residential,Wed May 21 00:00:00 EDT 2008,108750,38.672914,-121.35934 7340 HAMDEN PL,SACRAMENTO,95842,CA,2,2,1134,Condo,Wed May 21 00:00:00 EDT 2008,110700,38.700051,-121.351278 6715 6TH ST,RIO LINDA,95673,CA,2,1,844,Residential,Wed May 21 00:00:00 EDT 2008,113263,38.689591,-121.452239 6236 LONGFORD DR Unit 1,CITRUS HEIGHTS,95621,CA,2,1,795,Condo,Wed May 21 00:00:00 EDT 2008,116250,38.679776,-121.314089 250 PERALTA AVE,SACRAMENTO,95833,CA,2,1,588,Residential,Wed May 21 00:00:00 EDT 2008,120000,38.612099,-121.469095 113 LEEWILL AVE,RIO LINDA,95673,CA,3,2,1356,Residential,Wed May 21 00:00:00 EDT 2008,121630,38.689999,-121.46322 6118 STONEHAND AVE,CITRUS HEIGHTS,95621,CA,3,2,1118,Residential,Wed May 21 00:00:00 EDT 2008,122000,38.707851,-121.320707 4882 BANDALIN WAY,SACRAMENTO,95823,CA,4,2,1329,Residential,Wed May 21 00:00:00 EDT 2008,122682,38.468173,-121.444071 7511 OAKVALE CT,NORTH HIGHLANDS,95660,CA,4,2,1240,Residential,Wed May 21 00:00:00 EDT 2008,123000,38.702792,-121.38221 9 PASTURE CT,SACRAMENTO,95834,CA,3,2,1601,Residential,Wed May 21 00:00:00 EDT 2008,124100,38.628631,-121.488097 3729 BAINBRIDGE DR,NORTH HIGHLANDS,95660,CA,3,2,901,Residential,Wed May 21 00:00:00 EDT 2008,125000,38.701499,-121.37622 3828 BLACKFOOT WAY,ANTELOPE,95843,CA,3,2,1088,Residential,Wed May 21 00:00:00 EDT 2008,126640,38.70974,-121.37377 4108 NORTON WAY,SACRAMENTO,95820,CA,3,1,963,Residential,Wed May 21 00:00:00 EDT 2008,127281,38.537526,-121.478315 1469 JANRICK AVE,SACRAMENTO,95832,CA,3,2,1119,Residential,Wed May 21 00:00:00 EDT 2008,129000,38.476472,-121.501711 9861 CULP WAY,SACRAMENTO,95827,CA,4,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,131200,38.558423,-121.327948 7825 CREEK VALLEY CIR,SACRAMENTO,95828,CA,3,2,1248,Residential,Wed May 21 00:00:00 EDT 2008,132000,38.472122,-121.404199 5201 LAGUNA OAKS DR Unit 140,ELK GROVE,95758,CA,2,2,1039,Condo,Wed May 21 00:00:00 EDT 2008,133000,38.423251,-121.444489 6768 MEDORA DR,NORTH HIGHLANDS,95660,CA,3,2,1152,Residential,Wed May 21 00:00:00 EDT 2008,134555,38.691161,-121.37192 3100 EXPLORER DR,SACRAMENTO,95827,CA,3,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,136500,38.566663,-121.332644 7944 DOMINION WAY,ELVERTA,95626,CA,3,2,1116,Residential,Wed May 21 00:00:00 EDT 2008,138750,38.713182,-121.411227 5201 LAGUNA OAKS DR Unit 162,ELK GROVE,95758,CA,2,2,1039,Condo,Wed May 21 00:00:00 EDT 2008,141000,38.423251,-121.444489 3920 SHINING STAR DR,SACRAMENTO,95823,CA,3,2,1418,Residential,Wed May 21 00:00:00 EDT 2008,146250,38.48742,-121.462459 5031 CORVAIR ST,NORTH HIGHLANDS,95660,CA,3,2,1082,Residential,Wed May 21 00:00:00 EDT 2008,147308,38.658246,-121.375469 7661 NIXOS WAY,SACRAMENTO,95823,CA,4,2,1472,Residential,Wed May 21 00:00:00 EDT 2008,148750,38.479553,-121.463317 7044 CARTHY WAY,SACRAMENTO,95828,CA,4,2,1146,Residential,Wed May 21 00:00:00 EDT 2008,149593,38.49857,-121.420925 2442 LARKSPUR LN,SACRAMENTO,95825,CA,1,1,760,Condo,Wed May 21 00:00:00 EDT 2008,150000,38.58514,-121.403736 4800 WESTLAKE PKWY Unit 2109,SACRAMENTO,95835,CA,2,2,1304,Condo,Wed May 21 00:00:00 EDT 2008,152000,38.658812,-121.542345 2178 63RD AVE,SACRAMENTO,95822,CA,3,2,1207,Residential,Wed May 21 00:00:00 EDT 2008,154000,38.493955,-121.48966 8718 ELK WAY,ELK GROVE,95624,CA,3,2,1056,Residential,Wed May 21 00:00:00 EDT 2008,156896,38.41653,-121.379653 5708 RIDGEPOINT DR,ANTELOPE,95843,CA,2,2,1043,Residential,Wed May 21 00:00:00 EDT 2008,161250,38.72027,-121.331555 7315 KOALA CT,NORTH HIGHLANDS,95660,CA,4,2,1587,Residential,Wed May 21 00:00:00 EDT 2008,161500,38.699251,-121.371414 2622 ERIN DR,SACRAMENTO,95833,CA,4,1,1120,Residential,Wed May 21 00:00:00 EDT 2008,164000,38.613765,-121.488694 8421 SUNBLAZE WAY,SACRAMENTO,95823,CA,4,2,1580,Residential,Wed May 21 00:00:00 EDT 2008,165000,38.450543,-121.432538 7420 ALIX PKWY,SACRAMENTO,95823,CA,4,1,1955,Residential,Wed May 21 00:00:00 EDT 2008,166357,38.489405,-121.452811 3820 NATOMA WAY,SACRAMENTO,95838,CA,4,2,1656,Residential,Wed May 21 00:00:00 EDT 2008,166357,38.636748,-121.422159 4431 GREEN TREE DR,SACRAMENTO,95823,CA,3,2,1477,Residential,Wed May 21 00:00:00 EDT 2008,168000,38.499954,-121.454469 9417 SARA ST,ELK GROVE,95624,CA,3,2,1188,Residential,Wed May 21 00:00:00 EDT 2008,170000,38.415518,-121.370527 8299 HALBRITE WAY,SACRAMENTO,95828,CA,4,2,1590,Residential,Wed May 21 00:00:00 EDT 2008,173000,38.473814,-121.4 7223 KALLIE KAY LN,SACRAMENTO,95823,CA,3,2,1463,Residential,Wed May 21 00:00:00 EDT 2008,174250,38.477553,-121.419463 8156 STEINBECK WAY,SACRAMENTO,95828,CA,4,2,1714,Residential,Wed May 21 00:00:00 EDT 2008,174313,38.474853,-121.406326 7957 VALLEY GREEN DR,SACRAMENTO,95823,CA,3,2,1185,Residential,Wed May 21 00:00:00 EDT 2008,178480,38.465184,-121.434925 1122 WILD POPPY CT,GALT,95632,CA,3,2,1406,Residential,Wed May 21 00:00:00 EDT 2008,178760,38.287789,-121.294715 4520 BOMARK WAY,SACRAMENTO,95842,CA,4,2,1943,Multi-Family,Wed May 21 00:00:00 EDT 2008,179580,38.665724,-121.358576 9012 KIEFER BLVD,SACRAMENTO,95826,CA,3,2,1172,Residential,Wed May 21 00:00:00 EDT 2008,181000,38.547011,-121.366217 5332 SANDSTONE ST,CARMICHAEL,95608,CA,3,1,1152,Residential,Wed May 21 00:00:00 EDT 2008,181872,38.662105,-121.313945 5993 SAWYER CIR,SACRAMENTO,95823,CA,4,3,1851,Residential,Wed May 21 00:00:00 EDT 2008,182587,38.4473,-121.435218 4844 CLYDEBANK WAY,ANTELOPE,95843,CA,3,2,1215,Residential,Wed May 21 00:00:00 EDT 2008,182716,38.714609,-121.347887 306 CAMELLIA WAY,GALT,95632,CA,3,2,1130,Residential,Wed May 21 00:00:00 EDT 2008,182750,38.260443,-121.297864 9021 MADISON AVE,ORANGEVALE,95662,CA,4,2,1603,Residential,Wed May 21 00:00:00 EDT 2008,183200,38.664186,-121.217511 404 6TH ST,GALT,95632,CA,3,1,1479,Residential,Wed May 21 00:00:00 EDT 2008,188741,38.251808,-121.302493 8317 SUNNY CREEK WAY,SACRAMENTO,95823,CA,3,2,1420,Residential,Wed May 21 00:00:00 EDT 2008,189000,38.459041,-121.424644 2617 BASS CT,SACRAMENTO,95826,CA,3,2,1280,Residential,Wed May 21 00:00:00 EDT 2008,192067,38.560767,-121.377471 7005 TIANT WAY,ELK GROVE,95758,CA,3,2,1586,Residential,Wed May 21 00:00:00 EDT 2008,194000,38.422811,-121.423285 7895 CABER WAY,ANTELOPE,95843,CA,3,2,1362,Residential,Wed May 21 00:00:00 EDT 2008,194818,38.711279,-121.393449 7624 BOGEY CT,SACRAMENTO,95828,CA,4,4,2162,Multi-Family,Wed May 21 00:00:00 EDT 2008,195000,38.48009,-121.415102 6930 HAMPTON COVE WAY,SACRAMENTO,95823,CA,3,2,1266,Residential,Wed May 21 00:00:00 EDT 2008,198000,38.44004,-121.421012 8708 MESA BROOK WAY,ELK GROVE,95624,CA,4,2,1715,Residential,Wed May 21 00:00:00 EDT 2008,199500,38.44076,-121.385792 120 GRANT LN,FOLSOM,95630,CA,3,2,1820,Residential,Wed May 21 00:00:00 EDT 2008,200000,38.687742,-121.17104 5907 ELLERSLEE DR,CARMICHAEL,95608,CA,3,1,936,Residential,Wed May 21 00:00:00 EDT 2008,200000,38.664468,-121.32683 17 SERASPI CT,SACRAMENTO,95834,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,206000,38.631481,-121.50188 170 PENHOW CIR,SACRAMENTO,95834,CA,3,2,1511,Residential,Wed May 21 00:00:00 EDT 2008,208000,38.653439,-121.535169 8345 STAR THISTLE WAY,SACRAMENTO,95823,CA,4,2,1590,Residential,Wed May 21 00:00:00 EDT 2008,212864,38.454349,-121.439239 9080 FRESCA WAY,ELK GROVE,95758,CA,4,2,1596,Residential,Wed May 21 00:00:00 EDT 2008,221000,38.427818,-121.424026 391 NATALINO CIR,SACRAMENTO,95835,CA,2,2,1341,Residential,Wed May 21 00:00:00 EDT 2008,221000,38.67307,-121.506373 8373 BLACKMAN WAY,ELK GROVE,95624,CA,5,3,2136,Residential,Wed May 21 00:00:00 EDT 2008,223058,38.435436,-121.394536 9837 CORTE DORADO CT,ELK GROVE,95624,CA,4,2,1616,Residential,Wed May 21 00:00:00 EDT 2008,227887,38.400676,-121.38101 5037 J PKWY,SACRAMENTO,95823,CA,3,2,1478,Residential,Wed May 21 00:00:00 EDT 2008,231477,38.491399,-121.443547 10245 LOS PALOS DR,RANCHO CORDOVA,95670,CA,3,2,1287,Residential,Wed May 21 00:00:00 EDT 2008,234697,38.593699,-121.31089 6613 NAVION DR,CITRUS HEIGHTS,95621,CA,4,2,1277,Residential,Wed May 21 00:00:00 EDT 2008,235000,38.702855,-121.31308 2887 AZEVEDO DR,SACRAMENTO,95833,CA,4,2,1448,Residential,Wed May 21 00:00:00 EDT 2008,236000,38.618457,-121.509439 9186 KINBRACE CT,SACRAMENTO,95829,CA,4,3,2235,Residential,Wed May 21 00:00:00 EDT 2008,236685,38.463355,-121.358936 4243 MIDDLEBURY WAY,MATHER,95655,CA,3,2,2093,Residential,Wed May 21 00:00:00 EDT 2008,237800,38.547991,-121.280483 1028 FALLON PLACE CT,RIO LINDA,95673,CA,3,2,1193,Residential,Wed May 21 00:00:00 EDT 2008,240122,38.693818,-121.441153 4804 NORIKER DR,ELK GROVE,95757,CA,3,2,2163,Residential,Wed May 21 00:00:00 EDT 2008,242638,38.400974,-121.448424 7713 HARVEST WOODS DR,SACRAMENTO,95828,CA,3,2,1269,Residential,Wed May 21 00:00:00 EDT 2008,244000,38.478198,-121.412911 2866 KARITSA AVE,SACRAMENTO,95833,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,244500,38.626671,-121.52597 6913 RICHEVE WAY,SACRAMENTO,95828,CA,3,1,958,Residential,Wed May 21 00:00:00 EDT 2008,244960,38.502519,-121.420769 8636 TEGEA WAY,ELK GROVE,95624,CA,5,3,2508,Residential,Wed May 21 00:00:00 EDT 2008,245918,38.443832,-121.382087 5448 MAIDSTONE WAY,CITRUS HEIGHTS,95621,CA,3,2,1305,Residential,Wed May 21 00:00:00 EDT 2008,250000,38.665395,-121.293288 18 OLLIE CT,ELK GROVE,95758,CA,4,2,1591,Residential,Wed May 21 00:00:00 EDT 2008,250000,38.444909,-121.412345 4010 ALEX LN,CARMICHAEL,95608,CA,2,2,1326,Condo,Wed May 21 00:00:00 EDT 2008,250134,38.637028,-121.312963 4901 MILLNER WAY,ELK GROVE,95757,CA,3,2,1843,Residential,Wed May 21 00:00:00 EDT 2008,254200,38.38692,-121.447349 4818 BRITTNEY LEE CT,SACRAMENTO,95841,CA,4,2,1921,Residential,Wed May 21 00:00:00 EDT 2008,254200,38.653917,-121.34218 5529 LAGUNA PARK DR,ELK GROVE,95758,CA,5,3,2790,Residential,Wed May 21 00:00:00 EDT 2008,258000,38.42568,-121.438062 230 CANDELA CIR,SACRAMENTO,95835,CA,3,2,1541,Residential,Wed May 21 00:00:00 EDT 2008,260000,38.656251,-121.547572 4900 71ST ST,SACRAMENTO,95820,CA,3,1,1018,Residential,Wed May 21 00:00:00 EDT 2008,260014,38.53151,-121.421089 12209 CONSERVANCY WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,263500,38.553867,-121.219141 4236 NATOMAS CENTRAL DR,SACRAMENTO,95834,CA,3,2,1672,Condo,Wed May 21 00:00:00 EDT 2008,265000,38.648879,-121.544023 5615 LUPIN LN,POLLOCK PINES,95726,CA,3,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,265000,38.708315,-120.603872 5625 JAMES WAY,SACRAMENTO,95822,CA,3,1,975,Residential,Wed May 21 00:00:00 EDT 2008,271742,38.523947,-121.484946 7842 LAHONTAN CT,SACRAMENTO,95829,CA,4,3,2372,Residential,Wed May 21 00:00:00 EDT 2008,273750,38.472976,-121.318633 6850 21ST ST,SACRAMENTO,95822,CA,3,2,1446,Residential,Wed May 21 00:00:00 EDT 2008,275086,38.502194,-121.490795 2900 BLAIR RD,POLLOCK PINES,95726,CA,2,2,1284,Residential,Wed May 21 00:00:00 EDT 2008,280908,38.75485,-120.60476 2064 EXPEDITION WAY,SACRAMENTO,95832,CA,4,3,3009,Residential,Wed May 21 00:00:00 EDT 2008,280987,38.474099,-121.490711 2912 NORCADE CIR,SACRAMENTO,95826,CA,8,4,3612,Multi-Family,Wed May 21 00:00:00 EDT 2008,282400,38.559505,-121.364839 9507 SEA CLIFF WAY,ELK GROVE,95758,CA,4,2,2056,Residential,Wed May 21 00:00:00 EDT 2008,285000,38.410992,-121.479043 8882 AUTUMN GOLD CT,ELK GROVE,95624,CA,4,2,1993,Residential,Wed May 21 00:00:00 EDT 2008,287417,38.4439,-121.37255 5322 WHITE LOTUS WAY,ELK GROVE,95757,CA,3,2,1857,Residential,Wed May 21 00:00:00 EDT 2008,291000,38.391538,-121.442596 1838 CASTRO WAY,SACRAMENTO,95818,CA,2,1,1126,Residential,Wed May 21 00:00:00 EDT 2008,292024,38.556098,-121.490787 10158 CRAWFORD WAY,SACRAMENTO,95827,CA,4,4,2213,Multi-Family,Wed May 21 00:00:00 EDT 2008,297000,38.5703,-121.315735 7731 MASTERS ST,ELK GROVE,95758,CA,5,3,2494,Residential,Wed May 21 00:00:00 EDT 2008,297000,38.442031,-121.410873 4925 PERCHERON DR,ELK GROVE,95757,CA,3,2,1843,Residential,Wed May 21 00:00:00 EDT 2008,298000,38.40154,-121.447649 2010 PROMONTORY POINT LN,GOLD RIVER,95670,CA,2,2,1520,Residential,Wed May 21 00:00:00 EDT 2008,299000,38.62869,-121.261669 4727 SAVOIE WAY,SACRAMENTO,95835,CA,5,3,2800,Residential,Wed May 21 00:00:00 EDT 2008,304037,38.658182,-121.549521 8664 MAGNOLIA HILL WAY,ELK GROVE,95624,CA,4,2,2309,Residential,Wed May 21 00:00:00 EDT 2008,311000,38.442352,-121.389675 9570 HARVEST ROSE WAY,SACRAMENTO,95827,CA,5,3,2367,Residential,Wed May 21 00:00:00 EDT 2008,315537,38.555993,-121.340352 4359 CREGAN CT,RANCHO CORDOVA,95742,CA,5,4,3516,Residential,Wed May 21 00:00:00 EDT 2008,320000,38.545128,-121.224922 5337 DUSTY ROSE WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,320000,38.528575,-121.2286 8929 SUTTERS GOLD DR,SACRAMENTO,95826,CA,4,3,1914,Residential,Wed May 21 00:00:00 EDT 2008,328360,38.550848,-121.370224 8025 PEERLESS AVE,ORANGEVALE,95662,CA,2,1,1690,Residential,Wed May 21 00:00:00 EDT 2008,334150,38.71147,-121.216214 4620 WELERA WAY,ELK GROVE,95757,CA,3,3,2725,Residential,Wed May 21 00:00:00 EDT 2008,335750,38.398609,-121.450148 9723 TERRAPIN CT,ELK GROVE,95757,CA,4,3,2354,Residential,Wed May 21 00:00:00 EDT 2008,335750,38.403492,-121.430224 2115 SMOKESTACK WAY,SACRAMENTO,95833,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,339500,38.602416,-121.542965 100 REBECCA WAY,FOLSOM,95630,CA,3,2,2185,Residential,Wed May 21 00:00:00 EDT 2008,344250,38.68479,-121.149199 9488 OAK VILLAGE WAY,ELK GROVE,95758,CA,4,2,1801,Residential,Wed May 21 00:00:00 EDT 2008,346210,38.41333,-121.404999 8495 DARTFORD DR,SACRAMENTO,95823,CA,3,3,1961,Residential,Wed May 21 00:00:00 EDT 2008,347029,38.448507,-121.421346 6708 PONTA DO SOL WAY,ELK GROVE,95757,CA,4,2,3134,Residential,Wed May 21 00:00:00 EDT 2008,347650,38.380635,-121.425538 4143 SEA MEADOW WAY,SACRAMENTO,95823,CA,4,3,1915,Residential,Wed May 21 00:00:00 EDT 2008,351300,38.46534,-121.457519 3020 RICHARDSON CIR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Wed May 21 00:00:00 EDT 2008,352000,38.691299,-121.081752 8082 LINDA ISLE LN,SACRAMENTO,95831,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,370000,38.4772,-121.5215 15300 MURIETA SOUTH PKWY,RANCHO MURIETA,95683,CA,4,3,2734,Residential,Wed May 21 00:00:00 EDT 2008,370500,38.4874,-121.075129 11215 SHARRMONT CT,WILTON,95693,CA,3,2,2110,Residential,Wed May 21 00:00:00 EDT 2008,372000,38.35062,-121.228349 7105 DANBERG WAY,ELK GROVE,95757,CA,5,3,3164,Residential,Wed May 21 00:00:00 EDT 2008,375000,38.4019,-121.420388 5579 JERRY LITELL WAY,SACRAMENTO,95835,CA,5,3,3599,Residential,Wed May 21 00:00:00 EDT 2008,381300,38.677126,-121.500519 1050 FOXHALL WAY,SACRAMENTO,95831,CA,4,2,2054,Residential,Wed May 21 00:00:00 EDT 2008,381942,38.509819,-121.519661 7837 ABBINGTON WAY,ANTELOPE,95843,CA,4,2,1830,Residential,Wed May 21 00:00:00 EDT 2008,387731,38.709873,-121.339472 1300 F ST,SACRAMENTO,95814,CA,3,3,1627,Residential,Wed May 21 00:00:00 EDT 2008,391000,38.58355,-121.487289 6801 RAWLEY WAY,ELK GROVE,95757,CA,4,3,3440,Residential,Wed May 21 00:00:00 EDT 2008,394470,38.408351,-121.423925 1693 SHELTER COVE DR,GREENWOOD,95635,CA,3,2,2846,Residential,Wed May 21 00:00:00 EDT 2008,395000,38.945357,-120.908822 9361 WADDELL LN,ELK GROVE,95624,CA,4,3,2359,Residential,Wed May 21 00:00:00 EDT 2008,400186,38.450829,-121.349928 10 SEA FOAM CT,SACRAMENTO,95831,CA,3,3,2052,Residential,Wed May 21 00:00:00 EDT 2008,415000,38.487885,-121.545947 6945 RIO TEJO WAY,ELK GROVE,95757,CA,5,3,3433,Residential,Wed May 21 00:00:00 EDT 2008,425000,38.385638,-121.422616 4186 TULIP PARK WAY,RANCHO CORDOVA,95742,CA,5,3,3615,Residential,Wed May 21 00:00:00 EDT 2008,430000,38.550617,-121.23526 9278 DAIRY CT,ELK GROVE,95624,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,445000,38.420338,-121.363757 207 ORANGE BLOSSOM CIR Unit C,FOLSOM,95630,CA,5,3,2687,Residential,Wed May 21 00:00:00 EDT 2008,460000,38.646273,-121.175322 6507 RIO DE ONAR WAY,ELK GROVE,95757,CA,4,3,2724,Residential,Wed May 21 00:00:00 EDT 2008,461000,38.38253,-121.428007 7004 RAWLEY WAY,ELK GROVE,95757,CA,4,3,3440,Residential,Wed May 21 00:00:00 EDT 2008,489332,38.406421,-121.422081 6503 RIO DE ONAR WAY,ELK GROVE,95757,CA,5,4,3508,Residential,Wed May 21 00:00:00 EDT 2008,510000,38.38253,-121.428038 2217 APPALOOSA CT,FOLSOM,95630,CA,4,2,2462,Residential,Wed May 21 00:00:00 EDT 2008,539000,38.655167,-121.090178 868 HILDEBRAND CIR,FOLSOM,95630,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,585000,38.670947,-121.097727 6030 PALERMO WAY,EL DORADO HILLS,95762,CA,4,3,0,Residential,Wed May 21 00:00:00 EDT 2008,600000,38.672761,-121.050378 4070 REDONDO DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Wed May 21 00:00:00 EDT 2008,606238,38.666807,-121.06483 4004 CRESTA WAY,SACRAMENTO,95864,CA,3,3,2325,Residential,Wed May 21 00:00:00 EDT 2008,660000,38.591618,-121.370626 315 JUMEL CT,EL DORADO HILLS,95762,CA,6,5,0,Residential,Wed May 21 00:00:00 EDT 2008,830000,38.669931,-121.05958 6272 LONGFORD DR Unit 1,CITRUS HEIGHTS,95621,CA,2,1,795,Condo,Tue May 20 00:00:00 EDT 2008,69000,38.680923,-121.313945 3432 Y ST,SACRAMENTO,95817,CA,4,2,1099,Residential,Tue May 20 00:00:00 EDT 2008,70000,38.554967,-121.468046 9512 EMERALD PARK DR Unit 3,ELK GROVE,95624,CA,2,1,840,Condo,Tue May 20 00:00:00 EDT 2008,71000,38.40573,-121.369832 3132 CLAY ST,SACRAMENTO,95815,CA,2,1,800,Residential,Tue May 20 00:00:00 EDT 2008,78000,38.624678,-121.439203 5221 38TH AVE,SACRAMENTO,95824,CA,2,1,746,Residential,Tue May 20 00:00:00 EDT 2008,78400,38.518044,-121.443555 6112 HERMOSA ST,SACRAMENTO,95822,CA,3,1,1067,Residential,Tue May 20 00:00:00 EDT 2008,80000,38.515125,-121.480416 483 ARCADE BLVD,SACRAMENTO,95815,CA,4,2,1316,Residential,Tue May 20 00:00:00 EDT 2008,89000,38.623571,-121.454884 671 SONOMA AVE,SACRAMENTO,95815,CA,3,1,1337,Residential,Tue May 20 00:00:00 EDT 2008,90000,38.622953,-121.450142 5980 79TH ST,SACRAMENTO,95824,CA,2,1,868,Residential,Tue May 20 00:00:00 EDT 2008,90000,38.518373,-121.411779 7607 ELDER CREEK RD,SACRAMENTO,95824,CA,3,1,924,Residential,Tue May 20 00:00:00 EDT 2008,92000,38.51055,-121.414768 5028 14TH AVE,SACRAMENTO,95820,CA,2,1,610,Residential,Tue May 20 00:00:00 EDT 2008,93675,38.53942,-121.446894 14788 NATCHEZ CT,RANCHO MURIETA,95683,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,97750,38.492287,-121.100032 1069 ACACIA AVE,SACRAMENTO,95815,CA,2,1,1220,Residential,Tue May 20 00:00:00 EDT 2008,98000,38.621998,-121.442238 5201 LAGUNA OAKS DR Unit 199,ELK GROVE,95758,CA,1,1,722,Condo,Tue May 20 00:00:00 EDT 2008,98000,38.423251,-121.444489 3847 LAS PASAS WAY,SACRAMENTO,95864,CA,3,1,1643,Residential,Tue May 20 00:00:00 EDT 2008,99000,38.588672,-121.373916 5201 LAGUNA OAKS DR Unit 172,ELK GROVE,95758,CA,1,1,722,Condo,Tue May 20 00:00:00 EDT 2008,100000,38.423251,-121.444489 1121 CREEKSIDE WAY,GALT,95632,CA,3,1,1080,Residential,Tue May 20 00:00:00 EDT 2008,106716,38.241514,-121.312199 5307 CABRILLO WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Tue May 20 00:00:00 EDT 2008,111000,38.52712,-121.435348 3725 DON JULIO BLVD,NORTH HIGHLANDS,95660,CA,3,1,1051,Residential,Tue May 20 00:00:00 EDT 2008,111000,38.67895,-121.379406 4803 MCCLOUD DR,SACRAMENTO,95842,CA,2,2,967,Residential,Tue May 20 00:00:00 EDT 2008,114800,38.682279,-121.352817 10542 SILVERWOOD WAY,RANCHO CORDOVA,95670,CA,3,1,1098,Residential,Tue May 20 00:00:00 EDT 2008,120108,38.587156,-121.295778 6318 39TH AVE,SACRAMENTO,95824,CA,3,1,1050,Residential,Tue May 20 00:00:00 EDT 2008,123225,38.518942,-121.430158 211 MCDANIEL CIR,SACRAMENTO,95838,CA,3,2,1110,Residential,Tue May 20 00:00:00 EDT 2008,123750,38.636565,-121.460383 3800 LYNHURST WAY,NORTH HIGHLANDS,95660,CA,3,1,888,Residential,Tue May 20 00:00:00 EDT 2008,125000,38.650445,-121.374861 6139 HERMOSA ST,SACRAMENTO,95822,CA,3,2,1120,Residential,Tue May 20 00:00:00 EDT 2008,125000,38.514665,-121.480411 2505 RHINE WAY,ELVERTA,95626,CA,3,2,1080,Residential,Tue May 20 00:00:00 EDT 2008,126000,38.717976,-121.407684 3692 PAYNE WAY,NORTH HIGHLANDS,95660,CA,3,1,957,Residential,Tue May 20 00:00:00 EDT 2008,129000,38.66654,-121.378298 604 MORRISON AVE,SACRAMENTO,95838,CA,2,1,952,Residential,Tue May 20 00:00:00 EDT 2008,134000,38.637678,-121.452476 648 SANTA ANA AVE,SACRAMENTO,95838,CA,3,2,1211,Residential,Tue May 20 00:00:00 EDT 2008,135000,38.658478,-121.450409 14 ASHLEY OAKS CT,SACRAMENTO,95815,CA,3,2,1264,Residential,Tue May 20 00:00:00 EDT 2008,135500,38.61779,-121.436765 3174 NORTHVIEW DR,SACRAMENTO,95833,CA,3,1,1080,Residential,Tue May 20 00:00:00 EDT 2008,140000,38.623817,-121.477827 840 TRANQUIL LN,GALT,95632,CA,3,2,1266,Residential,Tue May 20 00:00:00 EDT 2008,140000,38.270617,-121.299205 5333 PRIMROSE DR Unit 19A,FAIR OAKS,95628,CA,2,2,994,Condo,Tue May 20 00:00:00 EDT 2008,142500,38.662785,-121.276272 1035 MILLET WAY,SACRAMENTO,95834,CA,3,2,1202,Residential,Tue May 20 00:00:00 EDT 2008,143500,38.631056,-121.48508 5201 LAGUNA OAKS DR Unit 126,ELK GROVE,95758,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,145000,38.423251,-121.444489 3328 22ND AVE,SACRAMENTO,95820,CA,2,1,722,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.532727,-121.470783 8001 HARTWICK WAY,SACRAMENTO,95828,CA,4,2,1448,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.488623,-121.410582 7812 HARTWICK WAY,SACRAMENTO,95828,CA,3,2,1188,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.488611,-121.412808 4207 PAINTER WAY,NORTH HIGHLANDS,95660,CA,4,2,1183,Residential,Tue May 20 00:00:00 EDT 2008,146000,38.692915,-121.367497 7458 WINKLEY WAY,SACRAMENTO,95822,CA,3,1,1320,Residential,Tue May 20 00:00:00 EDT 2008,148500,38.487444,-121.491366 8354 SUNRISE WOODS WAY,SACRAMENTO,95828,CA,3,2,1117,Residential,Tue May 20 00:00:00 EDT 2008,149000,38.473288,-121.3963 8116 COTTONMILL CIR,SACRAMENTO,95828,CA,3,2,1364,Residential,Tue May 20 00:00:00 EDT 2008,150000,38.482876,-121.405912 4660 CEDARWOOD WAY,SACRAMENTO,95823,CA,4,2,1310,Residential,Tue May 20 00:00:00 EDT 2008,150000,38.484834,-121.449316 9254 HARROGATE WAY,ELK GROVE,95758,CA,2,2,1006,Residential,Tue May 20 00:00:00 EDT 2008,152000,38.420138,-121.412179 6716 TAREYTON WAY,CITRUS HEIGHTS,95621,CA,3,2,1104,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.693724,-121.307169 2028 ROBERT WAY,SACRAMENTO,95825,CA,2,1,810,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.609982,-121.419263 9346 AIZENBERG CIR,ELK GROVE,95624,CA,2,2,1123,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.41875,-121.370019 4524 LOCH HAVEN WAY,SACRAMENTO,95842,CA,2,1,904,Residential,Tue May 20 00:00:00 EDT 2008,157788,38.67273,-121.359645 7140 BLUE SPRINGS WAY,CITRUS HEIGHTS,95621,CA,3,2,1156,Residential,Tue May 20 00:00:00 EDT 2008,161653,38.720653,-121.302241 4631 11TH AVE,SACRAMENTO,95820,CA,2,1,1321,Residential,Tue May 20 00:00:00 EDT 2008,161829,38.541965,-121.452132 3228 BAGGAN CT,ANTELOPE,95843,CA,3,2,1392,Residential,Tue May 20 00:00:00 EDT 2008,165000,38.715346,-121.388163 8515 DARTFORD DR,SACRAMENTO,95823,CA,3,2,1439,Residential,Tue May 20 00:00:00 EDT 2008,168000,38.448288,-121.420719 4500 TIPPWOOD WAY,SACRAMENTO,95842,CA,3,2,1159,Residential,Tue May 20 00:00:00 EDT 2008,169000,38.69951,-121.359989 2460 EL ROCCO WAY,RANCHO CORDOVA,95670,CA,3,2,1671,Residential,Tue May 20 00:00:00 EDT 2008,175000,38.591477,-121.31534 8244 SUNBIRD WAY,SACRAMENTO,95823,CA,3,2,1740,Residential,Tue May 20 00:00:00 EDT 2008,176250,38.457654,-121.431381 5841 VALLEY VALE WAY,SACRAMENTO,95823,CA,3,2,1265,Residential,Tue May 20 00:00:00 EDT 2008,179000,38.461283,-121.434322 7863 CRESTLEIGH CT,ANTELOPE,95843,CA,2,2,1007,Residential,Tue May 20 00:00:00 EDT 2008,180000,38.710889,-121.358876 7129 SPRINGMONT DR,ELK GROVE,95758,CA,3,2,1716,Residential,Tue May 20 00:00:00 EDT 2008,180400,38.417649,-121.420294 8284 RED FOX WAY,ELK GROVE,95758,CA,4,2,1685,Residential,Tue May 20 00:00:00 EDT 2008,182000,38.417182,-121.397231 2219 EL CANTO CIR,RANCHO CORDOVA,95670,CA,4,2,1829,Residential,Tue May 20 00:00:00 EDT 2008,184500,38.592383,-121.318669 8907 GEMWOOD WAY,ELK GROVE,95758,CA,3,2,1555,Residential,Tue May 20 00:00:00 EDT 2008,185000,38.435471,-121.441173 5925 MALEVILLE AVE,CARMICHAEL,95608,CA,4,2,1120,Residential,Tue May 20 00:00:00 EDT 2008,189000,38.666564,-121.325717 7031 CANEVALLEY CIR,CITRUS HEIGHTS,95621,CA,3,2,1137,Residential,Tue May 20 00:00:00 EDT 2008,194000,38.718693,-121.303619 3949 WILDROSE WAY,SACRAMENTO,95826,CA,3,1,1174,Residential,Tue May 20 00:00:00 EDT 2008,195000,38.543697,-121.366683 4437 MITCHUM CT,ANTELOPE,95843,CA,3,2,1393,Residential,Tue May 20 00:00:00 EDT 2008,200000,38.704407,-121.36113 2778 KAWEAH CT,CAMERON PARK,95682,CA,3,1,0,Residential,Tue May 20 00:00:00 EDT 2008,201000,38.694052,-120.995589 1636 ALLENWOOD CIR,LINCOLN,95648,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,202500,38.879192,-121.309477 8151 QUAIL RIDGE CT,SACRAMENTO,95828,CA,3,2,1289,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.461296,-121.390858 4899 WIND CREEK DR,SACRAMENTO,95838,CA,4,2,1799,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.655887,-121.446119 2370 BIG CANYON CREEK RD,PLACERVILLE,95667,CA,3,2,0,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.74458,-120.794254 6049 HAMBURG WAY,SACRAMENTO,95823,CA,4,3,1953,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.443253,-121.431992 4232 71ST ST,SACRAMENTO,95820,CA,2,1,723,Residential,Tue May 20 00:00:00 EDT 2008,207000,38.536741,-121.42115 3361 BOW MAR CT,CAMERON PARK,95682,CA,2,2,0,Residential,Tue May 20 00:00:00 EDT 2008,210000,38.69437,-120.996602 1889 COLD SPRINGS RD,PLACERVILLE,95667,CA,2,1,948,Residential,Tue May 20 00:00:00 EDT 2008,211500,38.739774,-120.860243 5805 HIMALAYA WAY,CITRUS HEIGHTS,95621,CA,4,2,1578,Residential,Tue May 20 00:00:00 EDT 2008,215000,38.696489,-121.328555 7944 SYLVAN OAK WAY,CITRUS HEIGHTS,95610,CA,3,2,1317,Residential,Tue May 20 00:00:00 EDT 2008,215000,38.710388,-121.261096 3139 SPOONWOOD WAY Unit 1,SACRAMENTO,95833,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,215500,38.626582,-121.52151 6217 LEOLA WAY,SACRAMENTO,95824,CA,3,1,1360,Residential,Tue May 20 00:00:00 EDT 2008,222381,38.513066,-121.451909 2340 HURLEY WAY,SACRAMENTO,95825,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,225000,38.588816,-121.408549 3035 BRUNNET LN,SACRAMENTO,95833,CA,3,2,1522,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.624762,-121.522775 3025 EL PRADO WAY,SACRAMENTO,95825,CA,4,2,1751,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.606603,-121.394147 9387 GRANITE FALLS CT,ELK GROVE,95624,CA,3,2,1465,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.419214,-121.348533 9257 CALDERA WAY,SACRAMENTO,95826,CA,4,2,1605,Residential,Tue May 20 00:00:00 EDT 2008,228000,38.55821,-121.355022 441 ARLINGDALE CIR,RIO LINDA,95673,CA,4,2,1475,Residential,Tue May 20 00:00:00 EDT 2008,229665,38.702893,-121.454949 2284 LOS ROBLES RD,MEADOW VISTA,95722,CA,3,1,1216,Residential,Tue May 20 00:00:00 EDT 2008,230000,39.008159,-121.03623 8164 CHENIN BLANC LN,FAIR OAKS,95628,CA,2,2,1315,Residential,Tue May 20 00:00:00 EDT 2008,230000,38.665644,-121.259969 4620 CHAMBERLIN CIR,ELK GROVE,95757,CA,3,2,1567,Residential,Tue May 20 00:00:00 EDT 2008,230000,38.390557,-121.449805 5340 BIRK WAY,SACRAMENTO,95835,CA,3,2,1776,Residential,Tue May 20 00:00:00 EDT 2008,234000,38.672495,-121.515251 51 ANJOU CIR,SACRAMENTO,95835,CA,3,2,2187,Residential,Tue May 20 00:00:00 EDT 2008,235000,38.661658,-121.540633 2125 22ND AVE,SACRAMENTO,95822,CA,3,1,1291,Residential,Tue May 20 00:00:00 EDT 2008,236250,38.534596,-121.493121 611 BLOSSOM ROCK LN,FOLSOM,95630,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,240000,38.6457,-121.1197 8830 ADUR RD,ELK GROVE,95624,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,242000,38.43742,-121.372876 7344 BUTTERBALL WAY,SACRAMENTO,95842,CA,3,2,1503,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.699489,-121.361828 8219 GWINHURST CIR,SACRAMENTO,95828,CA,4,3,2491,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.459711,-121.384283 3240 S ST,SACRAMENTO,95816,CA,2,1,1269,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.562296,-121.467489 221 PICASSO CIR,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.676658,-121.528128 5706 GREENACRES WAY,ORANGEVALE,95662,CA,3,2,1176,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.669882,-121.213533 6900 LONICERA DR,ORANGEVALE,95662,CA,4,2,1456,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.692199,-121.250975 419 DAWNRIDGE RD,ROSEVILLE,95678,CA,3,2,1498,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.725283,-121.297953 5312 MARBURY WAY,ANTELOPE,95843,CA,3,2,1574,Residential,Tue May 20 00:00:00 EDT 2008,255000,38.710221,-121.341651 6344 BONHAM CIR,CITRUS HEIGHTS,95610,CA,5,4,2085,Multi-Family,Tue May 20 00:00:00 EDT 2008,256054,38.682358,-121.272876 8207 YORKTON WAY,SACRAMENTO,95829,CA,3,2,2170,Residential,Tue May 20 00:00:00 EDT 2008,257729,38.45967,-121.360461 7922 MANSELL WAY,ELK GROVE,95758,CA,4,2,1595,Residential,Tue May 20 00:00:00 EDT 2008,260000,38.409634,-121.410787 5712 MELBURY CIR,ANTELOPE,95843,CA,3,2,1567,Residential,Tue May 20 00:00:00 EDT 2008,261000,38.705849,-121.334701 632 NEWBRIDGE LN,LINCOLN,95648,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,261800,38.879084,-121.298586 1570 GLIDDEN AVE,SACRAMENTO,95822,CA,4,2,1253,Residential,Tue May 20 00:00:00 EDT 2008,264469,38.482704,-121.500433 8108 FILIFERA WAY,ANTELOPE,95843,CA,4,3,1768,Residential,Tue May 20 00:00:00 EDT 2008,265000,38.717042,-121.35468 230 BANKSIDE WAY,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.676937,-121.529244 5342 CALABRIA WAY,SACRAMENTO,95835,CA,4,3,2030,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.671807,-121.498274 47 NAPONEE CT,SACRAMENTO,95835,CA,3,2,1531,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.665704,-121.529096 4236 ADRIATIC SEA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.647961,-121.543162 8864 REMBRANT CT,ELK GROVE,95624,CA,4,3,1653,Residential,Tue May 20 00:00:00 EDT 2008,275000,38.435288,-121.375703 9455 SEA CLIFF WAY,ELK GROVE,95758,CA,4,2,2056,Residential,Tue May 20 00:00:00 EDT 2008,275000,38.411522,-121.481406 9720 LITTLE HARBOR WAY,ELK GROVE,95624,CA,4,3,2494,Residential,Tue May 20 00:00:00 EDT 2008,280000,38.404934,-121.352405 8806 PHOENIX AVE,FAIR OAKS,95628,CA,3,2,1450,Residential,Tue May 20 00:00:00 EDT 2008,286013,38.660322,-121.230101 3578 LOGGERHEAD WAY,SACRAMENTO,95834,CA,4,2,2169,Residential,Tue May 20 00:00:00 EDT 2008,292000,38.633028,-121.526755 1416 LOCKHART WAY,ROSEVILLE,95747,CA,3,2,1440,Residential,Tue May 20 00:00:00 EDT 2008,292000,38.752399,-121.330328 5413 BUENA VENTURA WAY,FAIR OAKS,95628,CA,3,2,1527,Residential,Tue May 20 00:00:00 EDT 2008,293993,38.664552,-121.255937 37 WHITE BIRCH CT,ROSEVILLE,95678,CA,3,2,1401,Residential,Tue May 20 00:00:00 EDT 2008,294000,38.776327,-121.284514 405 MARLIN SPIKE WAY,SACRAMENTO,95838,CA,3,2,1411,Residential,Tue May 20 00:00:00 EDT 2008,296769,38.65783,-121.456842 1102 CHESLEY LN,LINCOLN,95648,CA,4,4,0,Residential,Tue May 20 00:00:00 EDT 2008,297500,38.864864,-121.313988 11281 STANFORD COURT LN Unit 604,GOLD RIVER,95670,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,300000,38.625289,-121.260286 7320 6TH ST,RIO LINDA,95673,CA,3,1,1284,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.700553,-121.452223 993 MANTON CT,GALT,95632,CA,4,3,2307,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.272942,-121.289148 4487 PANORAMA DR,PLACERVILLE,95667,CA,3,2,1329,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.694559,-120.848157 5651 OVERLEAF WAY,SACRAMENTO,95835,CA,4,2,1910,Residential,Tue May 20 00:00:00 EDT 2008,300500,38.677454,-121.494791 2015 PROMONTORY POINT LN,GOLD RIVER,95670,CA,3,2,1981,Residential,Tue May 20 00:00:00 EDT 2008,305000,38.628732,-121.261149 3224 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,306500,38.772771,-121.364877 15 VANESSA PL,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,312500,38.668692,-121.54549 1312 RENISON LN,LINCOLN,95648,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,315000,38.866409,-121.308485 8 RIVER RAFT CT,SACRAMENTO,95823,CA,4,2,2205,Residential,Tue May 20 00:00:00 EDT 2008,319789,38.447353,-121.434969 2251 LAMPLIGHT LN,LINCOLN,95648,CA,2,2,1449,Residential,Tue May 20 00:00:00 EDT 2008,330000,38.849924,-121.275729 106 FARHAM DR,FOLSOM,95630,CA,3,2,1258,Residential,Tue May 20 00:00:00 EDT 2008,330000,38.667834,-121.168578 5405 NECTAR CIR,ELK GROVE,95757,CA,3,2,2575,Residential,Tue May 20 00:00:00 EDT 2008,331000,38.387014,-121.440967 5411 10TH AVE,SACRAMENTO,95820,CA,2,1,539,Residential,Tue May 20 00:00:00 EDT 2008,334000,38.542727,-121.442449 3512 RAINSONG CIR,RANCHO CORDOVA,95670,CA,4,3,2208,Residential,Tue May 20 00:00:00 EDT 2008,336000,38.573488,-121.282809 1106 55TH ST,SACRAMENTO,95819,CA,3,1,1108,Residential,Tue May 20 00:00:00 EDT 2008,339000,38.563805,-121.436395 411 ILLSLEY WAY,FOLSOM,95630,CA,4,2,1595,Residential,Tue May 20 00:00:00 EDT 2008,339000,38.652002,-121.129504 796 BUTTERCUP CIR,GALT,95632,CA,4,2,2159,Residential,Tue May 20 00:00:00 EDT 2008,345000,38.279581,-121.300828 1230 SANDRA CIR,PLACERVILLE,95667,CA,4,3,2295,Residential,Tue May 20 00:00:00 EDT 2008,350000,38.738141,-120.784145 318 ANACAPA DR,ROSEVILLE,95678,CA,3,2,1838,Residential,Tue May 20 00:00:00 EDT 2008,356000,38.782094,-121.297133 3975 SHINING STAR DR,SACRAMENTO,95823,CA,4,2,1900,Residential,Tue May 20 00:00:00 EDT 2008,361745,38.487409,-121.461413 1620 BASLER ST,SACRAMENTO,95811,CA,4,2,1718,Residential,Tue May 20 00:00:00 EDT 2008,361948,38.591822,-121.478644 9688 NATURE TRAIL WAY,ELK GROVE,95757,CA,5,3,3389,Residential,Tue May 20 00:00:00 EDT 2008,370000,38.405224,-121.479275 5924 TANUS CIR,ROCKLIN,95677,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,380000,38.778691,-121.204292 9629 CEDAR OAK WAY,ELK GROVE,95757,CA,5,4,3260,Residential,Tue May 20 00:00:00 EDT 2008,385000,38.405527,-121.431746 3429 FERNBROOK CT,CAMERON PARK,95682,CA,3,2,2016,Residential,Tue May 20 00:00:00 EDT 2008,399000,38.664225,-121.007173 2121 HANNAH WAY,ROCKLIN,95765,CA,4,2,2607,Residential,Tue May 20 00:00:00 EDT 2008,402000,38.805749,-121.280931 10104 ANNIE ST,ELK GROVE,95757,CA,4,3,2724,Residential,Tue May 20 00:00:00 EDT 2008,406026,38.390465,-121.443479 1092 MAUGHAM CT,GALT,95632,CA,5,4,3746,Residential,Tue May 20 00:00:00 EDT 2008,420000,38.271646,-121.286848 5404 ALMOND FALLS WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,425000,38.527502,-121.233492 6306 CONEJO,RANCHO MURIETA,95683,CA,4,2,3192,Residential,Tue May 20 00:00:00 EDT 2008,425000,38.512602,-121.087233 14 CASA VATONI PL,SACRAMENTO,95834,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,433500,38.650221,-121.551704 1456 EAGLESFIELD LN,LINCOLN,95648,CA,4,3,0,Residential,Tue May 20 00:00:00 EDT 2008,436746,38.857635,-121.311375 4100 BOTHWELL CIR,EL DORADO HILLS,95762,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,438700,38.679136,-121.034329 427 21ST ST,SACRAMENTO,95811,CA,2,1,1247,Residential,Tue May 20 00:00:00 EDT 2008,445000,38.582604,-121.47576 1044 GALSTON DR,FOLSOM,95630,CA,4,2,2581,Residential,Tue May 20 00:00:00 EDT 2008,450000,38.676306,-121.09954 4440 SYCAMORE AVE,SACRAMENTO,95841,CA,3,1,2068,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.646374,-121.353658 1032 SOUZA DR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.668239,-121.064437 9760 LAZULITE CT,ELK GROVE,95624,CA,4,3,3992,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.403609,-121.335541 241 LANFRANCO CIR,SACRAMENTO,95835,CA,4,4,3397,Residential,Tue May 20 00:00:00 EDT 2008,465000,38.665696,-121.549437 5559 NORTHBOROUGH DR,SACRAMENTO,95835,CA,5,3,3881,Residential,Tue May 20 00:00:00 EDT 2008,471750,38.677225,-121.519687 2125 BIG SKY DR,ROCKLIN,95765,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,480000,38.801637,-121.278798 2109 HAMLET PL,CARMICHAEL,95608,CA,2,2,1598,Residential,Tue May 20 00:00:00 EDT 2008,484000,38.602754,-121.329326 9970 STATE HIGHWAY 193,PLACERVILLE,95667,CA,4,3,1929,Residential,Tue May 20 00:00:00 EDT 2008,485000,38.787877,-120.816676 2901 PINTAIL WAY,ELK GROVE,95757,CA,4,3,3070,Residential,Tue May 20 00:00:00 EDT 2008,495000,38.398488,-121.473424 201 FIRESTONE DR,ROSEVILLE,95678,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,500500,38.770153,-121.300039 1740 HIGH ST,AUBURN,95603,CA,3,3,0,Residential,Tue May 20 00:00:00 EDT 2008,504000,38.891935,-121.08434 2733 DANA LOOP,EL DORADO HILLS,95762,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,541000,38.628459,-121.055078 9741 SADDLEBRED CT,WILTON,95693,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,560000,38.408841,-121.198039 7756 TIGERWOODS DR,SACRAMENTO,95829,CA,5,3,3984,Residential,Tue May 20 00:00:00 EDT 2008,572500,38.47643,-121.309243 5709 RIVER OAK WAY,CARMICHAEL,95608,CA,4,2,2222,Residential,Tue May 20 00:00:00 EDT 2008,582000,38.602461,-121.330979 2981 WRINGER DR,ROSEVILLE,95661,CA,4,3,3838,Residential,Tue May 20 00:00:00 EDT 2008,613401,38.735373,-121.227072 8616 ROCKPORTE CT,ROSEVILLE,95747,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,614000,38.742118,-121.359909 4128 HILL ST,FAIR OAKS,95628,CA,5,5,2846,Residential,Tue May 20 00:00:00 EDT 2008,680000,38.64167,-121.262099 1409 47TH ST,SACRAMENTO,95819,CA,5,2,2484,Residential,Tue May 20 00:00:00 EDT 2008,699000,38.563244,-121.446876 3935 EL MONTE DR,LOOMIS,95650,CA,4,4,1624,Residential,Tue May 20 00:00:00 EDT 2008,839000,38.813337,-121.133348 5840 WALERGA RD,SACRAMENTO,95842,CA,2,1,840,Condo,Mon May 19 00:00:00 EDT 2008,40000,38.673678,-121.357471 923 FULTON AVE,SACRAMENTO,95825,CA,1,1,484,Condo,Mon May 19 00:00:00 EDT 2008,48000,38.582279,-121.401482 261 REDONDO AVE,SACRAMENTO,95815,CA,3,1,970,Residential,Mon May 19 00:00:00 EDT 2008,61500,38.620685,-121.460539 4030 BROADWAY,SACRAMENTO,95817,CA,2,1,623,Residential,Mon May 19 00:00:00 EDT 2008,62050,38.546798,-121.460038 3660 22ND AVE,SACRAMENTO,95820,CA,2,1,932,Residential,Mon May 19 00:00:00 EDT 2008,65000,38.532718,-121.46747 3924 HIGH ST,SACRAMENTO,95838,CA,2,1,796,Residential,Mon May 19 00:00:00 EDT 2008,65000,38.638797,-121.435049 4734 14TH AVE,SACRAMENTO,95820,CA,2,1,834,Residential,Mon May 19 00:00:00 EDT 2008,68000,38.539447,-121.450858 4734 14TH AVE,SACRAMENTO,95820,CA,2,1,834,Residential,Mon May 19 00:00:00 EDT 2008,68000,38.539447,-121.450858 5050 RHODE ISLAND DR Unit 4,SACRAMENTO,95841,CA,2,1,924,Condo,Mon May 19 00:00:00 EDT 2008,77000,38.658739,-121.333561 4513 GREENHOLME DR,SACRAMENTO,95842,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,82732,38.669104,-121.359008 3845 ELM ST,SACRAMENTO,95838,CA,3,1,1250,Residential,Mon May 19 00:00:00 EDT 2008,84000,38.637337,-121.432835 3908 17TH AVE,SACRAMENTO,95820,CA,2,1,984,Residential,Mon May 19 00:00:00 EDT 2008,84675,38.53728,-121.463531 7109 CHANDLER DR,SACRAMENTO,95828,CA,3,1,1013,Residential,Mon May 19 00:00:00 EDT 2008,85000,38.497237,-121.424187 7541 SKELTON WAY,SACRAMENTO,95822,CA,3,1,1012,Residential,Mon May 19 00:00:00 EDT 2008,90000,38.484274,-121.488851 9058 MONTOYA ST,SACRAMENTO,95826,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,90000,38.559144,-121.368387 1016 CONGRESS AVE,SACRAMENTO,95838,CA,2,2,918,Residential,Mon May 19 00:00:00 EDT 2008,91000,38.630151,-121.442789 540 MORRISON AVE,SACRAMENTO,95838,CA,3,1,1082,Residential,Mon May 19 00:00:00 EDT 2008,95000,38.637704,-121.453946 5303 JERRETT WAY,SACRAMENTO,95842,CA,2,1,964,Residential,Mon May 19 00:00:00 EDT 2008,97500,38.663282,-121.359631 2820 DEL PASO BLVD,SACRAMENTO,95815,CA,4,2,1404,Multi-Family,Mon May 19 00:00:00 EDT 2008,100000,38.617718,-121.440089 3715 TALLYHO DR Unit 78HIGH,SACRAMENTO,95826,CA,1,1,625,Condo,Mon May 19 00:00:00 EDT 2008,100000,38.544627,-121.35796 6013 ROWAN WAY,CITRUS HEIGHTS,95621,CA,2,1,888,Residential,Mon May 19 00:00:00 EDT 2008,101000,38.675893,-121.2963 2987 PONDEROSA LN,SACRAMENTO,95815,CA,4,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,102750,38.622243,-121.457863 3732 LANKERSHIM WAY,NORTH HIGHLANDS,95660,CA,3,1,1331,Residential,Mon May 19 00:00:00 EDT 2008,112500,38.68972,-121.378399 2216 DUNLAP DR,SACRAMENTO,95821,CA,3,1,1014,Residential,Mon May 19 00:00:00 EDT 2008,113000,38.623738,-121.41305 3503 21ST AVE,SACRAMENTO,95820,CA,4,2,1448,Residential,Mon May 19 00:00:00 EDT 2008,114000,38.53361,-121.469308 523 EXCHANGE ST,SACRAMENTO,95838,CA,3,1,966,Residential,Mon May 19 00:00:00 EDT 2008,114000,38.659414,-121.45408 8101 PORT ROYALE WAY,SACRAMENTO,95823,CA,2,1,779,Residential,Mon May 19 00:00:00 EDT 2008,114750,38.463929,-121.438667 8020 WALERGA RD,ANTELOPE,95843,CA,2,2,836,Condo,Mon May 19 00:00:00 EDT 2008,115000,38.71607,-121.364468 167 VALLEY OAK DR,ROSEVILLE,95678,CA,2,2,1100,Condo,Mon May 19 00:00:00 EDT 2008,115000,38.732429,-121.288069 7876 BURLINGTON WAY,SACRAMENTO,95832,CA,3,1,1174,Residential,Mon May 19 00:00:00 EDT 2008,116100,38.470093,-121.468347 3726 JONKO AVE,NORTH HIGHLANDS,95660,CA,3,2,1207,Residential,Mon May 19 00:00:00 EDT 2008,119250,38.656131,-121.377265 7342 GIGI PL,SACRAMENTO,95828,CA,4,4,1995,Multi-Family,Mon May 19 00:00:00 EDT 2008,120000,38.490704,-121.410176 2610 PHYLLIS AVE,SACRAMENTO,95820,CA,2,1,804,Residential,Mon May 19 00:00:00 EDT 2008,120000,38.53105,-121.479574 4200 COMMERCE WAY Unit 711,SACRAMENTO,95834,CA,2,2,958,Condo,Mon May 19 00:00:00 EDT 2008,120000,38.647523,-121.523217 4621 COUNTRY SCENE WAY,SACRAMENTO,95823,CA,3,2,1366,Residential,Mon May 19 00:00:00 EDT 2008,120108,38.470187,-121.448149 5380 VILLAGE WOOD DR,SACRAMENTO,95823,CA,2,2,901,Residential,Mon May 19 00:00:00 EDT 2008,121500,38.454949,-121.440578 2621 EVERGREEN ST,SACRAMENTO,95815,CA,3,1,696,Residential,Mon May 19 00:00:00 EDT 2008,121725,38.613103,-121.444085 201 CARLO CT,GALT,95632,CA,3,2,1080,Residential,Mon May 19 00:00:00 EDT 2008,122000,38.24227,-121.31032 6743 21ST ST,SACRAMENTO,95822,CA,3,2,1104,Residential,Mon May 19 00:00:00 EDT 2008,123000,38.50372,-121.490657 3128 VIA GRANDE,SACRAMENTO,95825,CA,2,1,972,Residential,Mon May 19 00:00:00 EDT 2008,125000,38.598321,-121.39161 2847 BELGRADE WAY,SACRAMENTO,95833,CA,4,2,1390,Residential,Mon May 19 00:00:00 EDT 2008,125573,38.617173,-121.482541 7741 MILLDALE CIR,ELVERTA,95626,CA,4,2,1354,Residential,Mon May 19 00:00:00 EDT 2008,126714,38.705834,-121.43919 9013 CASALS ST,SACRAMENTO,95826,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,126960,38.557045,-121.37167 227 MAHAN CT Unit 1,ROSEVILLE,95678,CA,2,1,780,Condo,Mon May 19 00:00:00 EDT 2008,127000,38.749723,-121.27008 7349 FLETCHER FARM DR,SACRAMENTO,95828,CA,4,2,1587,Residential,Mon May 19 00:00:00 EDT 2008,127500,38.49069,-121.382619 7226 LARCHMONT DR,NORTH HIGHLANDS,95660,CA,3,2,1209,Residential,Mon May 19 00:00:00 EDT 2008,130000,38.699269,-121.376334 4114 35TH AVE,SACRAMENTO,95824,CA,2,1,1139,Residential,Mon May 19 00:00:00 EDT 2008,133105,38.520941,-121.459355 617 M ST,RIO LINDA,95673,CA,2,2,1690,Residential,Mon May 19 00:00:00 EDT 2008,136500,38.691104,-121.451832 7032 FAIR OAKS BLVD,CARMICHAEL,95608,CA,3,2,1245,Condo,Mon May 19 00:00:00 EDT 2008,139500,38.628563,-121.328297 2421 SANTINA WAY,ELVERTA,95626,CA,3,2,1416,Residential,Mon May 19 00:00:00 EDT 2008,140000,38.71865,-121.407763 2368 CRAIG AVE,SACRAMENTO,95832,CA,3,2,1300,Residential,Mon May 19 00:00:00 EDT 2008,140800,38.47807,-121.48114 2123 AMANDA WAY,SACRAMENTO,95822,CA,3,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,145000,38.484896,-121.486948 7620 DARLA WAY,SACRAMENTO,95828,CA,4,2,1590,Residential,Mon May 19 00:00:00 EDT 2008,147000,38.478502,-121.403517 8344 FIELDPOPPY CIR,SACRAMENTO,95828,CA,3,2,1407,Residential,Mon May 19 00:00:00 EDT 2008,149600,38.479083,-121.400702 3624 20TH AVE,SACRAMENTO,95820,CA,5,2,1516,Residential,Mon May 19 00:00:00 EDT 2008,150000,38.534508,-121.467907 10001 WOODCREEK OAKS BLVD Unit 1415,ROSEVILLE,95747,CA,2,2,0,Condo,Mon May 19 00:00:00 EDT 2008,150000,38.795529,-121.328819 2848 PROVO WAY,SACRAMENTO,95822,CA,3,2,1646,Residential,Mon May 19 00:00:00 EDT 2008,150000,38.489759,-121.474754 6045 EHRHARDT AVE,SACRAMENTO,95823,CA,3,2,1676,Residential,Mon May 19 00:00:00 EDT 2008,155000,38.457157,-121.433065 1223 LAMBERTON CIR,SACRAMENTO,95838,CA,3,2,1370,Residential,Mon May 19 00:00:00 EDT 2008,155435,38.646677,-121.437573 1223 LAMBERTON CIR,SACRAMENTO,95838,CA,3,2,1370,Residential,Mon May 19 00:00:00 EDT 2008,155500,38.646677,-121.437573 6000 BIRCHGLADE WAY,CITRUS HEIGHTS,95621,CA,4,2,1351,Residential,Mon May 19 00:00:00 EDT 2008,158000,38.70166,-121.323249 7204 THOMAS DR,NORTH HIGHLANDS,95660,CA,3,2,1152,Residential,Mon May 19 00:00:00 EDT 2008,158000,38.697898,-121.377687 8363 LANGTREE WAY,SACRAMENTO,95823,CA,3,2,1452,Residential,Mon May 19 00:00:00 EDT 2008,160000,38.45356,-121.435959 1675 VERNON ST Unit 8,ROSEVILLE,95678,CA,2,1,990,Residential,Mon May 19 00:00:00 EDT 2008,160000,38.734136,-121.299639 6632 IBEX WOODS CT,CITRUS HEIGHTS,95621,CA,2,2,1162,Residential,Mon May 19 00:00:00 EDT 2008,164000,38.720868,-121.309855 117 EVCAR WAY,RIO LINDA,95673,CA,3,2,1182,Residential,Mon May 19 00:00:00 EDT 2008,164000,38.687659,-121.4633 6485 LAGUNA MIRAGE LN,ELK GROVE,95758,CA,2,2,1112,Residential,Mon May 19 00:00:00 EDT 2008,165000,38.42465,-121.430137 746 MOOSE CREEK WAY,GALT,95632,CA,3,2,1100,Residential,Mon May 19 00:00:00 EDT 2008,167000,38.283085,-121.302071 8306 CURLEW CT,CITRUS HEIGHTS,95621,CA,4,2,1280,Residential,Mon May 19 00:00:00 EDT 2008,167293,38.715781,-121.298519 8306 CURLEW CT,CITRUS HEIGHTS,95621,CA,4,2,1280,Residential,Mon May 19 00:00:00 EDT 2008,167293,38.715781,-121.298519 5217 ARGO WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Mon May 19 00:00:00 EDT 2008,168000,38.52774,-121.433669 7108 HEATHER TREE DR,SACRAMENTO,95842,CA,3,2,1159,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.695677,-121.36022 2956 DAVENPORT WAY,SACRAMENTO,95833,CA,4,2,1917,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.620687,-121.482619 10062 LINCOLN VILLAGE DR,SACRAMENTO,95827,CA,3,2,1520,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.564,-121.320023 332 PALIN AVE,GALT,95632,CA,3,2,1204,Residential,Mon May 19 00:00:00 EDT 2008,174000,38.260467,-121.302636 4649 FREEWAY CIR,SACRAMENTO,95841,CA,3,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,178000,38.658734,-121.357196 8593 DERLIN WAY,SACRAMENTO,95823,CA,3,2,1436,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.447585,-121.426627 9273 PREMIER WAY,SACRAMENTO,95826,CA,3,2,1451,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.55992,-121.352539 8032 DUSENBERG CT,SACRAMENTO,95828,CA,4,2,1638,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.466499,-121.381119 7110 STELLA LN Unit 15,CARMICHAEL,95608,CA,2,2,1000,Condo,Mon May 19 00:00:00 EDT 2008,182000,38.637396,-121.300055 1786 PIEDMONT WAY,ROSEVILLE,95661,CA,3,1,1152,Residential,Mon May 19 00:00:00 EDT 2008,188325,38.72748,-121.256537 1347 HIDALGO CIR,ROSEVILLE,95747,CA,3,2,1154,Residential,Mon May 19 00:00:00 EDT 2008,191500,38.747878,-121.311279 212 CAPPUCINO WAY,SACRAMENTO,95838,CA,3,2,1353,Residential,Mon May 19 00:00:00 EDT 2008,192000,38.657811,-121.465327 5938 WOODBRIAR WAY,CITRUS HEIGHTS,95621,CA,3,2,1329,Residential,Mon May 19 00:00:00 EDT 2008,192700,38.706152,-121.325399 3801 WILDROSE WAY,SACRAMENTO,95826,CA,3,1,1356,Residential,Mon May 19 00:00:00 EDT 2008,195000,38.544368,-121.369979 508 SAMUEL WAY,SACRAMENTO,95838,CA,3,2,1505,Residential,Mon May 19 00:00:00 EDT 2008,197654,38.645689,-121.452766 6128 CARL SANDBURG CIR,SACRAMENTO,95842,CA,3,1,1009,Residential,Mon May 19 00:00:00 EDT 2008,198000,38.681541,-121.355616 1 KENNELFORD CIR,SACRAMENTO,95823,CA,3,2,1144,Residential,Mon May 19 00:00:00 EDT 2008,200345,38.46452,-121.427606 909 SINGINGWOOD RD,SACRAMENTO,95864,CA,2,1,930,Residential,Mon May 19 00:00:00 EDT 2008,203000,38.581471,-121.38839 6671 FOXWOOD CT,SACRAMENTO,95841,CA,4,2,1766,Residential,Mon May 19 00:00:00 EDT 2008,207000,38.687943,-121.328883 8165 AYN RAND CT,SACRAMENTO,95828,CA,4,3,1940,Residential,Mon May 19 00:00:00 EDT 2008,208000,38.468639,-121.403265 9474 VILLAGE TREE DR,ELK GROVE,95758,CA,4,2,1776,Residential,Mon May 19 00:00:00 EDT 2008,210000,38.413947,-121.408276 7213 CALVIN DR,CITRUS HEIGHTS,95621,CA,3,1,1258,Residential,Mon May 19 00:00:00 EDT 2008,212000,38.698154,-121.298375 8167 DERBY PARK CT,SACRAMENTO,95828,CA,4,2,1872,Residential,Mon May 19 00:00:00 EDT 2008,213675,38.460492,-121.373379 6344 LAGUNA MIRAGE LN,ELK GROVE,95758,CA,2,2,1112,Residential,Mon May 19 00:00:00 EDT 2008,213697,38.423963,-121.428875 2945 RED HAWK WAY,SACRAMENTO,95833,CA,4,2,1856,Residential,Mon May 19 00:00:00 EDT 2008,215000,38.619675,-121.496903 3228 I ST,SACRAMENTO,95816,CA,4,3,1939,Residential,Mon May 19 00:00:00 EDT 2008,215000,38.573844,-121.462839 308 ATKINSON ST,ROSEVILLE,95678,CA,3,1,998,Residential,Mon May 19 00:00:00 EDT 2008,215100,38.746794,-121.29971 624 HOVEY WAY,ROSEVILLE,95678,CA,3,2,1758,Residential,Mon May 19 00:00:00 EDT 2008,217500,38.756149,-121.306479 110 COPPER LEAF WAY,SACRAMENTO,95838,CA,3,2,2142,Residential,Mon May 19 00:00:00 EDT 2008,218000,38.658466,-121.460661 7535 ALMA VISTA WAY,SACRAMENTO,95831,CA,2,1,950,Residential,Mon May 19 00:00:00 EDT 2008,220000,38.48403,-121.507641 7423 WILSALL CT,ELK GROVE,95758,CA,4,3,1739,Residential,Mon May 19 00:00:00 EDT 2008,221000,38.417026,-121.416821 8629 VIA ALTA WAY,ELK GROVE,95624,CA,3,2,1516,Residential,Mon May 19 00:00:00 EDT 2008,222900,38.398245,-121.380615 3318 DAVIDSON DR,ANTELOPE,95843,CA,3,1,988,Residential,Mon May 19 00:00:00 EDT 2008,223139,38.705753,-121.388917 913 COBDEN CT,GALT,95632,CA,4,2,1555,Residential,Mon May 19 00:00:00 EDT 2008,225500,38.282001,-121.295902 4419 79TH ST,SACRAMENTO,95820,CA,3,2,1212,Residential,Mon May 19 00:00:00 EDT 2008,228327,38.534827,-121.412545 3012 SPOONWOOD WAY,SACRAMENTO,95833,CA,4,2,1871,Residential,Mon May 19 00:00:00 EDT 2008,230000,38.62478,-121.523474 8728 CRYSTAL RIVER WAY,SACRAMENTO,95828,CA,3,2,1302,Residential,Mon May 19 00:00:00 EDT 2008,230000,38.47547,-121.380055 4709 AMBER LN Unit 1,SACRAMENTO,95841,CA,2,1,756,Condo,Mon May 19 00:00:00 EDT 2008,230522,38.657789,-121.354994 4508 OLD DAIRY DR,ANTELOPE,95843,CA,4,3,2026,Residential,Mon May 19 00:00:00 EDT 2008,231200,38.72286,-121.358939 312 RIVER ISLE WAY,SACRAMENTO,95831,CA,3,2,1375,Residential,Mon May 19 00:00:00 EDT 2008,232000,38.49026,-121.550527 301 OLIVADI WAY,SACRAMENTO,95834,CA,2,2,1250,Condo,Mon May 19 00:00:00 EDT 2008,232500,38.644406,-121.549049 5636 25TH ST,SACRAMENTO,95822,CA,3,1,1058,Residential,Mon May 19 00:00:00 EDT 2008,233641,38.523828,-121.481139 8721 SPRUCE RIDGE WAY,ANTELOPE,95843,CA,3,2,1187,Residential,Mon May 19 00:00:00 EDT 2008,234000,38.727657,-121.391028 7461 WINDBRIDGE DR,SACRAMENTO,95831,CA,2,2,1324,Residential,Mon May 19 00:00:00 EDT 2008,234500,38.48797,-121.530229 8101 LEMON COVE CT,SACRAMENTO,95828,CA,4,3,1936,Residential,Mon May 19 00:00:00 EDT 2008,235000,38.462981,-121.408288 10949 SCOTSMAN WAY,RANCHO CORDOVA,95670,CA,5,4,2382,Multi-Family,Mon May 19 00:00:00 EDT 2008,236000,38.603686,-121.277844 617 WILLOW CREEK DR,FOLSOM,95630,CA,3,2,1427,Residential,Mon May 19 00:00:00 EDT 2008,236073,38.679626,-121.142609 3301 PARK DR Unit 1914,SACRAMENTO,95835,CA,3,2,1678,Condo,Mon May 19 00:00:00 EDT 2008,238000,38.665296,-121.531993 709 CIMMARON CT,GALT,95632,CA,4,2,1798,Residential,Mon May 19 00:00:00 EDT 2008,238861,38.277177,-121.303747 3305 RIO ROCA CT,ANTELOPE,95843,CA,4,3,2652,Residential,Mon May 19 00:00:00 EDT 2008,239700,38.725079,-121.387698 9080 BEDROCK CT,SACRAMENTO,95829,CA,4,2,1816,Residential,Mon May 19 00:00:00 EDT 2008,240000,38.456939,-121.362965 100 TOURMALINE CIR,SACRAMENTO,95834,CA,5,3,3076,Residential,Mon May 19 00:00:00 EDT 2008,240000,38.63437,-121.510779 6411 RED BIRCH WAY,ELK GROVE,95758,CA,4,2,1844,Residential,Mon May 19 00:00:00 EDT 2008,241000,38.43461,-121.429316 4867 LAGUNA DR,SACRAMENTO,95823,CA,3,2,1306,Residential,Mon May 19 00:00:00 EDT 2008,245000,38.46179,-121.445371 3662 RIVER DR,SACRAMENTO,95833,CA,4,3,2447,Residential,Mon May 19 00:00:00 EDT 2008,246000,38.604969,-121.54255 6943 WOLFGRAM WAY,SACRAMENTO,95828,CA,4,2,1176,Residential,Mon May 19 00:00:00 EDT 2008,247234,38.489215,-121.419546 77 RINETTI WAY,RIO LINDA,95673,CA,4,2,1182,Residential,Mon May 19 00:00:00 EDT 2008,247480,38.687021,-121.463151 1316 I ST,RIO LINDA,95673,CA,3,1,1160,Residential,Mon May 19 00:00:00 EDT 2008,249862,38.683674,-121.435204 2130 CATHERWOOD WAY,SACRAMENTO,95835,CA,3,2,1424,Residential,Mon May 19 00:00:00 EDT 2008,251000,38.675506,-121.510987 8304 JUGLANS DR,ORANGEVALE,95662,CA,4,2,1574,Residential,Mon May 19 00:00:00 EDT 2008,252155,38.691829,-121.249033 5308 MARBURY WAY,ANTELOPE,95843,CA,3,2,1830,Residential,Mon May 19 00:00:00 EDT 2008,254172,38.710221,-121.341707 9182 LAKEMONT DR,ELK GROVE,95624,CA,4,2,1724,Residential,Mon May 19 00:00:00 EDT 2008,258000,38.451353,-121.358776 2231 COUNTRY VILLA CT,AUBURN,95603,CA,2,2,1255,Condo,Mon May 19 00:00:00 EDT 2008,260000,38.931671,-121.097862 8491 CRYSTAL WALK CIR,ELK GROVE,95758,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.416916,-121.407554 361 MAHONIA CIR,SACRAMENTO,95835,CA,4,3,2175,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.676172,-121.509761 3427 LA CADENA WAY,SACRAMENTO,95835,CA,4,2,1904,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.681194,-121.537351 955 BIG SUR CT,EL DORADO HILLS,95762,CA,4,2,1808,Residential,Mon May 19 00:00:00 EDT 2008,262500,38.664347,-121.076529 11826 DIONYSUS WAY,RANCHO CORDOVA,95742,CA,4,2,2711,Residential,Mon May 19 00:00:00 EDT 2008,266000,38.551046,-121.239411 5847 DEL CAMPO LN,CARMICHAEL,95608,CA,3,1,1713,Residential,Mon May 19 00:00:00 EDT 2008,266000,38.671995,-121.324339 5635 FOXVIEW WAY,ELK GROVE,95757,CA,3,2,1457,Residential,Mon May 19 00:00:00 EDT 2008,270000,38.395256,-121.438249 10372 VIA CINTA CT,ELK GROVE,95757,CA,4,3,2724,Residential,Mon May 19 00:00:00 EDT 2008,274425,38.380089,-121.428186 6286 LONETREE BLVD,ROCKLIN,95765,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,274500,38.805036,-121.293608 7744 SOUTHBREEZE DR,SACRAMENTO,95828,CA,3,2,1468,Residential,Mon May 19 00:00:00 EDT 2008,275336,38.476932,-121.378349 2242 ABLE WAY,SACRAMENTO,95835,CA,4,3,2550,Residential,Mon May 19 00:00:00 EDT 2008,277980,38.666074,-121.509743 1042 STARBROOK DR,GALT,95632,CA,4,2,1928,Residential,Mon May 19 00:00:00 EDT 2008,280000,38.285611,-121.293063 1219 G ST,SACRAMENTO,95814,CA,3,3,1922,Residential,Mon May 19 00:00:00 EDT 2008,284686,38.582818,-121.489096 6220 OPUS CT,CITRUS HEIGHTS,95621,CA,3,2,1343,Residential,Mon May 19 00:00:00 EDT 2008,284893,38.715853,-121.317095 5419 HAVENHURST CIR,ROCKLIN,95677,CA,3,2,1510,Residential,Mon May 19 00:00:00 EDT 2008,285000,38.786746,-121.209957 220 OLD AIRPORT RD,AUBURN,95603,CA,2,2,960,Multi-Family,Mon May 19 00:00:00 EDT 2008,285000,38.939802,-121.054575 4622 MEYER WAY,CARMICHAEL,95608,CA,4,2,1559,Residential,Mon May 19 00:00:00 EDT 2008,285000,38.64913,-121.310667 4885 SUMMIT VIEW DR,EL DORADO,95623,CA,3,2,1624,Residential,Mon May 19 00:00:00 EDT 2008,289000,38.673285,-120.879176 26 JEANROSS CT,SACRAMENTO,95832,CA,5,3,2992,Residential,Mon May 19 00:00:00 EDT 2008,295000,38.473162,-121.491085 4800 MAPLEPLAIN AVE,ELK GROVE,95758,CA,4,2,2109,Residential,Mon May 19 00:00:00 EDT 2008,296000,38.432848,-121.449237 10629 BASIE WAY,RANCHO CORDOVA,95670,CA,4,2,1524,Residential,Mon May 19 00:00:00 EDT 2008,296056,38.579,-121.292627 8612 WILLOW GROVE WAY,SACRAMENTO,95828,CA,3,2,1248,Residential,Mon May 19 00:00:00 EDT 2008,297359,38.464994,-121.386962 62 DE FER CIR,SACRAMENTO,95823,CA,4,2,1876,Residential,Mon May 19 00:00:00 EDT 2008,299940,38.49254,-121.463316 2513 OLD KENMARE RD,LINCOLN,95648,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,304000,38.847396,-121.259586 3253 ABOTO WAY,RANCHO CORDOVA,95670,CA,4,3,1851,Residential,Mon May 19 00:00:00 EDT 2008,305000,38.57727,-121.285591 3072 VILLAGE PLAZA DR,ROSEVILLE,95747,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,307000,38.773094,-121.365905 251 CHANGO CIR,SACRAMENTO,95835,CA,4,2,2218,Residential,Mon May 19 00:00:00 EDT 2008,311328,38.68237,-121.539147 8205 WEYBURN CT,SACRAMENTO,95828,CA,3,2,1394,Residential,Mon May 19 00:00:00 EDT 2008,313138,38.47316,-121.403893 8788 LA MARGARITA WAY,SACRAMENTO,95828,CA,3,2,1410,Residential,Mon May 19 00:00:00 EDT 2008,316630,38.468185,-121.375694 5912 DEEPDALE WAY,ELK GROVE,95758,CA,5,3,3468,Residential,Mon May 19 00:00:00 EDT 2008,320000,38.439565,-121.436606 4712 PISMO BEACH DR,ANTELOPE,95843,CA,5,3,2346,Residential,Mon May 19 00:00:00 EDT 2008,320000,38.707705,-121.354153 4741 PACIFIC PARK DR,ANTELOPE,95843,CA,5,3,2347,Residential,Mon May 19 00:00:00 EDT 2008,325000,38.709299,-121.353056 310 GROTH CIR,SACRAMENTO,95834,CA,4,2,1659,Residential,Mon May 19 00:00:00 EDT 2008,328578,38.638764,-121.531827 6121 WILD FOX CT,ELK GROVE,95757,CA,3,3,2442,Residential,Mon May 19 00:00:00 EDT 2008,331000,38.406758,-121.431669 12241 CANYONLANDS DR,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,331500,38.557293,-121.217611 29 COOL FOUNTAIN CT,SACRAMENTO,95833,CA,4,2,2155,Residential,Mon May 19 00:00:00 EDT 2008,340000,38.606906,-121.54132 907 RIO ROBLES AVE,SACRAMENTO,95838,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,344755,38.664765,-121.445006 8909 BILLFISH WAY,SACRAMENTO,95828,CA,3,2,1810,Residential,Mon May 19 00:00:00 EDT 2008,345746,38.475433,-121.372584 6232 GUS WAY,ELK GROVE,95757,CA,4,2,2789,Residential,Mon May 19 00:00:00 EDT 2008,351000,38.388129,-121.43117 200 OAKWILDE ST,GALT,95632,CA,4,2,1606,Residential,Mon May 19 00:00:00 EDT 2008,353767,38.2535,-121.31812 1033 PARK STREAM DR,GALT,95632,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,355000,38.287785,-121.289903 200 ALLAIRE CIR,SACRAMENTO,95835,CA,4,2,2166,Residential,Mon May 19 00:00:00 EDT 2008,356035,38.68318,-121.53484 1322 SUTTER WALK,SACRAMENTO,95816,CA,0,0,0,Condo,Mon May 19 00:00:00 EDT 2008,360000,38.53805,-121.5047 5479 NICKMAN WAY,SACRAMENTO,95835,CA,4,2,1871,Residential,Mon May 19 00:00:00 EDT 2008,360552,38.672966,-121.502748 2103 BURBERRY WAY,SACRAMENTO,95835,CA,3,2,1800,Residential,Mon May 19 00:00:00 EDT 2008,362305,38.67342,-121.508542 2450 SAN JOSE WAY,SACRAMENTO,95817,CA,3,1,1683,Residential,Mon May 19 00:00:00 EDT 2008,365000,38.553596,-121.459483 7641 ROSEHALL DR,ROSEVILLE,95678,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,367554,38.791617,-121.286147 1336 LAYSAN TEAL DR,ROSEVILLE,95747,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,368500,38.796121,-121.319963 2802 BLACK OAK DR,ROCKLIN,95765,CA,2,2,1596,Residential,Mon May 19 00:00:00 EDT 2008,370000,38.837006,-121.232024 2113 FALL TRAIL CT,PLACERVILLE,95667,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,371086,38.733155,-120.748039 10112 LAMBEAU CT,ELK GROVE,95757,CA,3,2,1179,Residential,Mon May 19 00:00:00 EDT 2008,378000,38.390328,-121.448022 6313 CASTRO VERDE WAY,ELK GROVE,95757,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,383000,38.381102,-121.42901 3622 CURTIS DR,SACRAMENTO,95818,CA,3,1,1639,Residential,Mon May 19 00:00:00 EDT 2008,388000,38.541735,-121.480098 11817 OPAL RIDGE WAY,RANCHO CORDOVA,95742,CA,5,3,3281,Residential,Mon May 19 00:00:00 EDT 2008,395100,38.551083,-121.237476 170 LAGOMARSINO WAY,SACRAMENTO,95819,CA,3,2,1697,Residential,Mon May 19 00:00:00 EDT 2008,400000,38.574894,-121.435806 2743 DEAKIN PL,EL DORADO HILLS,95762,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,400000,38.69288,-121.073551 3361 ALDER CANYON WAY,ANTELOPE,95843,CA,4,3,2085,Residential,Mon May 19 00:00:00 EDT 2008,408431,38.727649,-121.385656 2148 RANCH VIEW DR,ROCKLIN,95765,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,413000,38.837455,-121.289337 398 LINDLEY DR,SACRAMENTO,95815,CA,4,2,1744,Multi-Family,Mon May 19 00:00:00 EDT 2008,416767,38.622359,-121.457582 3013 BRIDLEWOOD DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Mon May 19 00:00:00 EDT 2008,420000,38.675519,-121.015862 169 BAURER CIR,FOLSOM,95630,CA,4,3,1939,Residential,Mon May 19 00:00:00 EDT 2008,423000,38.66695,-121.120729 2809 LOON CT,CAMERON PARK,95682,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,423000,38.687072,-121.004729 1315 KONDOS AVE,SACRAMENTO,95814,CA,2,3,1788,Residential,Mon May 19 00:00:00 EDT 2008,427500,38.571943,-121.492106 4966 CHARTER RD,ROCKLIN,95765,CA,3,2,1691,Residential,Mon May 19 00:00:00 EDT 2008,430922,38.82553,-121.254698 9516 LAGUNA LAKE WAY,ELK GROVE,95758,CA,4,2,2002,Residential,Mon May 19 00:00:00 EDT 2008,445000,38.411258,-121.431348 5201 BLOSSOM RANCH DR,ELK GROVE,95757,CA,4,4,4303,Residential,Mon May 19 00:00:00 EDT 2008,450000,38.399436,-121.444041 3027 PALMATE WAY,SACRAMENTO,95834,CA,5,3,4246,Residential,Mon May 19 00:00:00 EDT 2008,452000,38.628955,-121.529269 500 WINCHESTER CT,ROSEVILLE,95661,CA,3,2,2274,Residential,Mon May 19 00:00:00 EDT 2008,470000,38.73988,-121.248929 5746 GELSTON WAY,EL DORADO HILLS,95762,CA,4,3,0,Residential,Mon May 19 00:00:00 EDT 2008,471000,38.677015,-121.034083 6935 ELM TREE LN,ORANGEVALE,95662,CA,4,4,3056,Residential,Mon May 19 00:00:00 EDT 2008,475000,38.693041,-121.23294 9605 GOLF COURSE LN,ELK GROVE,95758,CA,3,3,2503,Residential,Mon May 19 00:00:00 EDT 2008,484500,38.409689,-121.446059 719 BAYWOOD CT,EL DORADO HILLS,95762,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,487500,38.647598,-121.077801 5954 TANUS CIR,ROCKLIN,95677,CA,3,3,0,Residential,Mon May 19 00:00:00 EDT 2008,488750,38.777585,-121.2036 100 CHELSEA CT,FOLSOM,95630,CA,3,2,1905,Residential,Mon May 19 00:00:00 EDT 2008,500000,38.69435,-121.177259 1500 ORANGE HILL LN,PENRYN,95663,CA,3,2,1320,Residential,Mon May 19 00:00:00 EDT 2008,506688,38.862708,-121.162092 408 KIRKWOOD CT,LINCOLN,95648,CA,2,2,0,Residential,Mon May 19 00:00:00 EDT 2008,512000,38.861615,-121.26869 1732 TUSCAN GROVE CIR,ROSEVILLE,95747,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,520000,38.796683,-121.342555 2049 EMPIRE MINE CIR,GOLD RIVER,95670,CA,4,2,3037,Residential,Mon May 19 00:00:00 EDT 2008,528000,38.629299,-121.249021 9360 MAGOS RD,WILTON,95693,CA,5,2,3741,Residential,Mon May 19 00:00:00 EDT 2008,579093,38.416809,-121.240628 104 CATLIN CT,FOLSOM,95630,CA,4,3,2660,Residential,Mon May 19 00:00:00 EDT 2008,636000,38.684459,-121.145935 4734 GIBBONS DR,CARMICHAEL,95608,CA,4,3,3357,Residential,Mon May 19 00:00:00 EDT 2008,668365,38.63558,-121.353639 4629 DORCHESTER LN,GRANITE BAY,95746,CA,5,3,2896,Residential,Mon May 19 00:00:00 EDT 2008,676200,38.723545,-121.216025 2400 COUNTRYSIDE DR,PLACERVILLE,95667,CA,3,2,2025,Residential,Mon May 19 00:00:00 EDT 2008,677048,38.737452,-120.910963 12901 FURLONG DR,WILTON,95693,CA,5,3,3788,Residential,Mon May 19 00:00:00 EDT 2008,691659,38.413535,-121.188211 6222 CALLE MONTALVO CIR,GRANITE BAY,95746,CA,5,3,3670,Residential,Mon May 19 00:00:00 EDT 2008,760000,38.779435,-121.146676 20 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885327,-121.289412 24 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885132,-121.289405 28 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884936,-121.289397 32 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884741,-121.28939 36 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884599,-121.289406 40 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884535,-121.289619 44 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88459,-121.289835 48 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884667,-121.289896 52 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88478,-121.289911 68 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885236,-121.289928 72 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88535,-121.289926 76 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885464,-121.289922 80 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885578,-121.289919 84 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885692,-121.289915 88 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885806,-121.289911 92 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88592,-121.289908 96 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886024,-121.289859 100 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886091,-121.289744 434 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88653,-121.289406 3 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884692,-121.290288 11 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884879,-121.290257 19 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885017,-121.290262 27 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885173,-121.29027 35 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885328,-121.290275 43 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885483,-121.290277 51 E ST,LINCOLN,95648,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885638,-121.290279 59 E ST,LINCOLN,95648,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885794,-121.290281 75 E ST,LINCOLN,95648,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886104,-121.290285 63 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885093,-121.289932 398 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88653,-121.288952 386 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886528,-121.288869 374 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886525,-121.288787 116 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289586 108 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289646 100 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289706 55 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884865,-121.289922 51 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884752,-121.289907 47 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884638,-121.289893 43 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884568,-121.289784 39 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884546,-121.289562 35 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884645,-121.289397 31 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88479,-121.289392 27 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884985,-121.289399 23 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885181,-121.289406 19 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885376,-121.289414 15 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885571,-121.289421 7 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885962,-121.289436 7 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885962,-121.289436 3 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886093,-121.289584 8208 WOODYARD WAY,CITRUS HEIGHTS,95621,CA,3,2,1166,Residential,Fri May 16 00:00:00 EDT 2008,30000,38.715322,-121.314787 113 RINETTI WAY,RIO LINDA,95673,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,30000,38.687172,-121.463933 15 LOORZ CT,SACRAMENTO,95823,CA,2,1,838,Residential,Fri May 16 00:00:00 EDT 2008,55422,38.471646,-121.435158 5805 DOTMAR WAY,NORTH HIGHLANDS,95660,CA,2,1,904,Residential,Fri May 16 00:00:00 EDT 2008,63000,38.672642,-121.380343 2332 CAMBRIDGE ST,SACRAMENTO,95815,CA,2,1,1032,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.608085,-121.449651 3812 BELDEN ST,SACRAMENTO,95838,CA,2,1,904,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.636833,-121.44164 3348 40TH ST,SACRAMENTO,95817,CA,2,1,1080,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.544162,-121.460652 127 QUASAR CIR,SACRAMENTO,95822,CA,2,2,990,Residential,Fri May 16 00:00:00 EDT 2008,66500,38.493504,-121.475304 3812 CYPRESS ST,SACRAMENTO,95838,CA,2,1,900,Residential,Fri May 16 00:00:00 EDT 2008,71000,38.636877,-121.444948 5821 64TH ST,SACRAMENTO,95824,CA,2,1,861,Residential,Fri May 16 00:00:00 EDT 2008,75000,38.521202,-121.428146 8248 CENTER PKWY,SACRAMENTO,95823,CA,2,1,906,Condo,Fri May 16 00:00:00 EDT 2008,77000,38.459002,-121.428794 1171 SONOMA AVE,SACRAMENTO,95815,CA,2,1,1011,Residential,Fri May 16 00:00:00 EDT 2008,85000,38.6238,-121.439872 4250 ARDWELL WAY,SACRAMENTO,95823,CA,3,2,1089,Residential,Fri May 16 00:00:00 EDT 2008,95625,38.466938,-121.455631 3104 CLAY ST,SACRAMENTO,95815,CA,2,1,832,Residential,Fri May 16 00:00:00 EDT 2008,96140,38.62391,-121.439208 6063 LAND PARK DR,SACRAMENTO,95822,CA,2,1,800,Condo,Fri May 16 00:00:00 EDT 2008,104250,38.517029,-121.513809 4738 OAKHOLLOW DR,SACRAMENTO,95842,CA,4,2,1292,Residential,Fri May 16 00:00:00 EDT 2008,105000,38.679598,-121.356035 1401 STERLING ST,SACRAMENTO,95822,CA,2,1,810,Residential,Fri May 16 00:00:00 EDT 2008,108000,38.520319,-121.504727 3715 DIDCOT CIR,SACRAMENTO,95838,CA,4,2,1064,Residential,Fri May 16 00:00:00 EDT 2008,109000,38.635232,-121.460098 2426 RASHAWN DR,RANCHO CORDOVA,95670,CA,2,1,911,Residential,Fri May 16 00:00:00 EDT 2008,115000,38.610852,-121.273278 4800 WESTLAKE PKWY Unit 410,SACRAMENTO,95835,CA,1,1,846,Condo,Fri May 16 00:00:00 EDT 2008,115000,38.658812,-121.542345 3409 VIRGO ST,SACRAMENTO,95827,CA,3,2,1320,Residential,Fri May 16 00:00:00 EDT 2008,115500,38.563402,-121.327747 1110 PINEDALE AVE,SACRAMENTO,95838,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,115620,38.660173,-121.440216 2361 LA LOMA DR,RANCHO CORDOVA,95670,CA,3,2,1115,Residential,Fri May 16 00:00:00 EDT 2008,116000,38.59368,-121.316054 1455 64TH AVE,SACRAMENTO,95822,CA,3,2,1169,Residential,Fri May 16 00:00:00 EDT 2008,122000,38.492177,-121.503392 7328 SPRINGMAN ST,SACRAMENTO,95822,CA,3,2,1164,Residential,Fri May 16 00:00:00 EDT 2008,122500,38.491991,-121.477636 119 SAINT MARIE CIR,SACRAMENTO,95823,CA,4,2,1341,Residential,Fri May 16 00:00:00 EDT 2008,123000,38.481454,-121.446644 12 COSTA BRASE CT,SACRAMENTO,95838,CA,3,2,1219,Residential,Fri May 16 00:00:00 EDT 2008,124000,38.655554,-121.464275 6813 SCOTER WAY,SACRAMENTO,95842,CA,4,2,1127,Residential,Fri May 16 00:00:00 EDT 2008,124000,38.69043,-121.361035 6548 GRAYLOCK LN,NORTH HIGHLANDS,95660,CA,3,2,1272,Residential,Fri May 16 00:00:00 EDT 2008,124413,38.686061,-121.369949 1630 GLIDDEN AVE,SACRAMENTO,95822,CA,4,2,1253,Residential,Fri May 16 00:00:00 EDT 2008,125000,38.482717,-121.499683 7825 DALEWOODS WAY,SACRAMENTO,95828,CA,3,2,1120,Residential,Fri May 16 00:00:00 EDT 2008,130000,38.477297,-121.411513 4073 TRESLER AVE,NORTH HIGHLANDS,95660,CA,2,2,1118,Residential,Fri May 16 00:00:00 EDT 2008,131750,38.659016,-121.370457 4288 DYMIC WAY,SACRAMENTO,95838,CA,4,3,1890,Residential,Fri May 16 00:00:00 EDT 2008,137721,38.646541,-121.441139 1158 SAN IGNACIO WAY,SACRAMENTO,95833,CA,3,2,1260,Residential,Fri May 16 00:00:00 EDT 2008,137760,38.623045,-121.486279 4904 J PKWY,SACRAMENTO,95823,CA,3,2,1400,Residential,Fri May 16 00:00:00 EDT 2008,138000,38.487297,-121.44295 2931 HOWE AVE,SACRAMENTO,95821,CA,3,1,1264,Residential,Fri May 16 00:00:00 EDT 2008,140000,38.619012,-121.415329 5531 JANSEN DR,SACRAMENTO,95824,CA,3,1,1060,Residential,Fri May 16 00:00:00 EDT 2008,145000,38.522015,-121.438713 7836 ORCHARD WOODS CIR,SACRAMENTO,95828,CA,2,2,1132,Residential,Fri May 16 00:00:00 EDT 2008,145000,38.47955,-121.410867 4055 DEERBROOK DR,SACRAMENTO,95823,CA,3,2,1466,Residential,Fri May 16 00:00:00 EDT 2008,150000,38.472117,-121.459589 9937 BURLINE ST,SACRAMENTO,95827,CA,3,2,1092,Residential,Fri May 16 00:00:00 EDT 2008,150000,38.559641,-121.32316 6948 MIRADOR WAY,SACRAMENTO,95828,CA,4,2,1628,Residential,Fri May 16 00:00:00 EDT 2008,151000,38.493484,-121.42035 4909 RUGER CT,SACRAMENTO,95842,CA,3,2,960,Residential,Fri May 16 00:00:00 EDT 2008,155000,38.68747,-121.349234 7204 KERSTEN ST,CITRUS HEIGHTS,95621,CA,3,2,1075,Residential,Fri May 16 00:00:00 EDT 2008,155800,38.695863,-121.300814 3150 ROSEMONT DR,SACRAMENTO,95826,CA,3,2,1428,Residential,Fri May 16 00:00:00 EDT 2008,156142,38.554927,-121.35521 8200 STEINBECK WAY,SACRAMENTO,95828,CA,4,2,1358,Residential,Fri May 16 00:00:00 EDT 2008,158000,38.474854,-121.404726 8198 STEVENSON AVE,SACRAMENTO,95828,CA,6,4,2475,Multi-Family,Fri May 16 00:00:00 EDT 2008,159900,38.465271,-121.40426 6824 OLIVE TREE WAY,CITRUS HEIGHTS,95610,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,160000,38.689239,-121.267737 3536 SUN MAIDEN WAY,ANTELOPE,95843,CA,3,2,1711,Residential,Fri May 16 00:00:00 EDT 2008,161500,38.70968,-121.382328 4517 OLYMPIAD WAY,SACRAMENTO,95826,CA,4,2,1483,Residential,Fri May 16 00:00:00 EDT 2008,161600,38.536751,-121.359154 925 COBDEN CT,GALT,95632,CA,3,2,1140,Residential,Fri May 16 00:00:00 EDT 2008,162000,38.282047,-121.295812 8225 SCOTTSDALE DR,SACRAMENTO,95828,CA,4,2,1549,Residential,Fri May 16 00:00:00 EDT 2008,165000,38.487864,-121.402476 8758 LEMAS RD,SACRAMENTO,95828,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,165000,38.467487,-121.377055 6121 ALPINESPRING WAY,ELK GROVE,95758,CA,3,2,1240,Residential,Fri May 16 00:00:00 EDT 2008,167293,38.434075,-121.432623 5937 YORK GLEN WAY,SACRAMENTO,95842,CA,5,2,1712,Residential,Fri May 16 00:00:00 EDT 2008,168000,38.677003,-121.354454 6417 SUNNYFIELD WAY,SACRAMENTO,95823,CA,4,2,1580,Residential,Fri May 16 00:00:00 EDT 2008,168000,38.449153,-121.428272 4008 GREY LIVERY WAY,ANTELOPE,95843,CA,3,2,1669,Residential,Fri May 16 00:00:00 EDT 2008,168750,38.71846,-121.370862 8920 ROSETTA CIR,SACRAMENTO,95826,CA,3,1,1029,Residential,Fri May 16 00:00:00 EDT 2008,168750,38.544374,-121.370874 8300 LICHEN DR,CITRUS HEIGHTS,95621,CA,3,1,1103,Residential,Fri May 16 00:00:00 EDT 2008,170000,38.71641,-121.306239 8884 AMBERJACK WAY,SACRAMENTO,95828,CA,3,2,2161,Residential,Fri May 16 00:00:00 EDT 2008,170250,38.479343,-121.372553 4480 VALLEY HI DR,SACRAMENTO,95823,CA,3,2,1650,Residential,Fri May 16 00:00:00 EDT 2008,173000,38.466781,-121.450955 2250 FOREBAY RD,POLLOCK PINES,95726,CA,3,1,1320,Residential,Fri May 16 00:00:00 EDT 2008,175000,38.77491,-120.597599 3529 FABERGE WAY,SACRAMENTO,95826,CA,3,2,1200,Residential,Fri May 16 00:00:00 EDT 2008,176095,38.553275,-121.346218 1792 DAWNELLE WAY,SACRAMENTO,95835,CA,3,2,1170,Residential,Fri May 16 00:00:00 EDT 2008,176250,38.68271,-121.501697 7800 TABARE CT,CITRUS HEIGHTS,95621,CA,3,2,1199,Residential,Fri May 16 00:00:00 EDT 2008,178000,38.70799,-121.302979 8531 HERMITAGE WAY,SACRAMENTO,95823,CA,4,2,1695,Residential,Fri May 16 00:00:00 EDT 2008,179000,38.448452,-121.428536 2421 BERRYWOOD DR,RANCHO CORDOVA,95670,CA,3,2,1157,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.60868,-121.27849 1005 MORENO WAY,SACRAMENTO,95838,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.646206,-121.442767 1675 VERNON ST Unit 24,ROSEVILLE,95678,CA,3,2,1174,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.734136,-121.299639 24 WINDCHIME CT,SACRAMENTO,95823,CA,3,2,1593,Residential,Fri May 16 00:00:00 EDT 2008,181000,38.44617,-121.427824 540 HARLING CT,RIO LINDA,95673,CA,3,2,1093,Residential,Fri May 16 00:00:00 EDT 2008,182000,38.68279,-121.453509 1207 CRESCENDO DR,ROSEVILLE,95678,CA,3,2,1770,Residential,Fri May 16 00:00:00 EDT 2008,182587,38.72446,-121.292829 7577 EDDYLEE WAY,SACRAMENTO,95822,CA,4,2,1436,Residential,Fri May 16 00:00:00 EDT 2008,185074,38.48291,-121.491509 8369 FOPPIANO WAY,SACRAMENTO,95829,CA,3,2,1124,Residential,Fri May 16 00:00:00 EDT 2008,185833,38.453839,-121.357919 8817 SAWTELLE WAY,SACRAMENTO,95826,CA,4,2,1139,Residential,Fri May 16 00:00:00 EDT 2008,186785,38.565322,-121.374251 1910 BONAVISTA WAY,SACRAMENTO,95832,CA,3,2,1638,Residential,Fri May 16 00:00:00 EDT 2008,187000,38.476048,-121.494961 8 TIDE CT,SACRAMENTO,95833,CA,3,2,1328,Residential,Fri May 16 00:00:00 EDT 2008,188335,38.609864,-121.492304 8952 ROCKY CREEK CT,ELK GROVE,95758,CA,3,2,1273,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.431239,-121.44001 435 EXCHANGE ST,SACRAMENTO,95838,CA,3,1,1082,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.659434,-121.455236 10105 MONTE VALLO CT,SACRAMENTO,95827,CA,4,2,1578,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.573917,-121.316916 3930 ANNABELLE AVE,ROSEVILLE,95661,CA,2,1,796,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.727609,-121.226494 4854 TANGERINE AVE,SACRAMENTO,95823,CA,3,2,1386,Residential,Fri May 16 00:00:00 EDT 2008,191250,38.478239,-121.446326 2909 SHAWN WAY,RANCHO CORDOVA,95670,CA,3,2,1452,Residential,Fri May 16 00:00:00 EDT 2008,193000,38.589925,-121.299059 4290 BLACKFORD WAY,SACRAMENTO,95823,CA,3,2,1513,Residential,Fri May 16 00:00:00 EDT 2008,193500,38.470494,-121.454162 5890 TT TRAK,FORESTHILL,95631,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,194818,39.020808,-120.821518 7015 WOODSIDE DR,SACRAMENTO,95842,CA,4,2,1578,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.693071,-121.332365 6019 CHESHIRE WAY,CITRUS HEIGHTS,95610,CA,4,3,1736,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.676437,-121.279165 3330 VILLAGE CT,CAMERON PARK,95682,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.690504,-120.996245 2561 VERNA WAY,SACRAMENTO,95821,CA,3,1,1473,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.611055,-121.369964 3522 22ND AVE,SACRAMENTO,95820,CA,3,1,1150,Residential,Fri May 16 00:00:00 EDT 2008,198000,38.532725,-121.469078 2880 CANDIDO DR,SACRAMENTO,95833,CA,3,2,1127,Residential,Fri May 16 00:00:00 EDT 2008,199900,38.618019,-121.510215 6908 PIN OAK CT,FAIR OAKS,95628,CA,3,1,1144,Residential,Fri May 16 00:00:00 EDT 2008,200000,38.66424,-121.303675 5733 ANGELINA AVE,CARMICHAEL,95608,CA,3,1,972,Residential,Fri May 16 00:00:00 EDT 2008,201000,38.622634,-121.330846 7849 BONNY DOWNS WAY,ELK GROVE,95758,CA,4,2,2306,Residential,Fri May 16 00:00:00 EDT 2008,204918,38.42139,-121.411339 8716 LONGSPUR WAY,ANTELOPE,95843,CA,3,2,1479,Residential,Fri May 16 00:00:00 EDT 2008,205000,38.724083,-121.3584 6320 EL DORADO ST,EL DORADO,95623,CA,2,1,1040,Residential,Fri May 16 00:00:00 EDT 2008,205000,38.678758,-120.844118 2328 DOROTHY JUNE WAY,SACRAMENTO,95838,CA,3,2,1430,Residential,Fri May 16 00:00:00 EDT 2008,205878,38.641727,-121.412703 1986 DANVERS WAY,SACRAMENTO,95832,CA,4,2,1800,Residential,Fri May 16 00:00:00 EDT 2008,207000,38.47723,-121.492568 7901 GAZELLE TRAIL WAY,ANTELOPE,95843,CA,4,2,1953,Residential,Fri May 16 00:00:00 EDT 2008,207744,38.71174,-121.342675 6080 BRIDGECROSS DR,SACRAMENTO,95835,CA,3,2,1120,Residential,Fri May 16 00:00:00 EDT 2008,209000,38.681952,-121.505009 20 GROTH CIR,SACRAMENTO,95834,CA,3,2,1232,Residential,Fri May 16 00:00:00 EDT 2008,210000,38.640807,-121.533522 1900 DANBROOK DR,SACRAMENTO,95835,CA,1,1,984,Condo,Fri May 16 00:00:00 EDT 2008,210944,38.668433,-121.503471 140 VENTO CT,ROSEVILLE,95678,CA,3,2,0,Condo,Fri May 16 00:00:00 EDT 2008,212500,38.793533,-121.289685 8442 KEUSMAN ST,ELK GROVE,95758,CA,4,2,2329,Residential,Fri May 16 00:00:00 EDT 2008,213750,38.449651,-121.414704 9552 SUNLIGHT LN,ELK GROVE,95758,CA,3,2,1351,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.410561,-121.404327 2733 YUMA CT,CAMERON PARK,95682,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.691215,-120.994949 1407 TIFFANY CIR,ROSEVILLE,95661,CA,4,1,1376,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.736392,-121.2664 636 CRESTVIEW DR,DIAMOND SPRINGS,95619,CA,3,2,1300,Residential,Fri May 16 00:00:00 EDT 2008,216033,38.688255,-120.810235 1528 HESKET WAY,SACRAMENTO,95825,CA,4,2,1566,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.593598,-121.403637 2327 32ND ST,SACRAMENTO,95817,CA,2,1,1115,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.557433,-121.47034 1833 2ND AVE,SACRAMENTO,95818,CA,2,1,1032,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.556818,-121.490669 7252 CARRIAGE DR,CITRUS HEIGHTS,95621,CA,4,2,1419,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.698058,-121.294893 9815 PASO FINO WAY,ELK GROVE,95757,CA,3,2,1261,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.404888,-121.443998 5532 ENGLE RD,CARMICHAEL,95608,CA,2,2,1637,Residential,Fri May 16 00:00:00 EDT 2008,220702,38.63173,-121.335286 1139 CLINTON RD,SACRAMENTO,95825,CA,4,2,1776,Multi-Family,Fri May 16 00:00:00 EDT 2008,221250,38.585291,-121.406824 9176 SAGE GLEN WAY,ELK GROVE,95758,CA,3,2,1338,Residential,Fri May 16 00:00:00 EDT 2008,222000,38.423913,-121.439115 9967 HATHERTON WAY,ELK GROVE,95757,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,222500,38.3052,-121.4033 9264 BOULDER RIVER WAY,ELK GROVE,95624,CA,5,2,2254,Residential,Fri May 16 00:00:00 EDT 2008,222750,38.421713,-121.345191 320 GROTH CIR,SACRAMENTO,95834,CA,3,2,1441,Residential,Fri May 16 00:00:00 EDT 2008,225000,38.638882,-121.531883 137 GUNNISON AVE,SACRAMENTO,95838,CA,4,2,1991,Residential,Fri May 16 00:00:00 EDT 2008,225000,38.650729,-121.466483 8209 RIVALLO WAY,SACRAMENTO,95829,CA,4,3,2126,Residential,Fri May 16 00:00:00 EDT 2008,228750,38.459524,-121.3501 8637 PERIWINKLE CIR,ELK GROVE,95624,CA,3,2,1094,Residential,Fri May 16 00:00:00 EDT 2008,229000,38.443184,-121.364388 3425 MEADOW WAY,ROCKLIN,95677,CA,3,2,1462,Residential,Fri May 16 00:00:00 EDT 2008,230095,38.798028,-121.235364 107 JARVIS CIR,SACRAMENTO,95834,CA,5,3,2258,Residential,Fri May 16 00:00:00 EDT 2008,232500,38.639891,-121.537603 2319 THORES ST,RANCHO CORDOVA,95670,CA,3,2,1074,Residential,Fri May 16 00:00:00 EDT 2008,233000,38.59675,-121.312716 8935 MOUNTAIN HOME CT,ELK GROVE,95624,CA,4,2,2111,Residential,Fri May 16 00:00:00 EDT 2008,233500,38.38751,-121.370276 2566 SERENATA WAY,SACRAMENTO,95835,CA,3,2,1686,Residential,Fri May 16 00:00:00 EDT 2008,239000,38.671556,-121.520916 4085 COUNTRY DR,ANTELOPE,95843,CA,4,3,1915,Residential,Fri May 16 00:00:00 EDT 2008,240000,38.706209,-121.369509 9297 TROUT WAY,ELK GROVE,95624,CA,4,2,2367,Residential,Fri May 16 00:00:00 EDT 2008,240000,38.420637,-121.375798 7 ARCHIBALD CT,SACRAMENTO,95823,CA,3,2,1962,Residential,Fri May 16 00:00:00 EDT 2008,240971,38.443305,-121.435296 11130 EEL RIVER CT,RANCHO CORDOVA,95670,CA,2,2,1406,Residential,Fri May 16 00:00:00 EDT 2008,242000,38.625932,-121.271517 8323 REDBANK WAY,SACRAMENTO,95829,CA,3,2,1789,Residential,Fri May 16 00:00:00 EDT 2008,243450,38.455753,-121.349273 16 BRONCO CREEK CT,SACRAMENTO,95835,CA,4,2,1876,Residential,Fri May 16 00:00:00 EDT 2008,243500,38.674226,-121.525497 8316 NORTHAM DR,ANTELOPE,95843,CA,3,2,1235,Residential,Fri May 16 00:00:00 EDT 2008,246544,38.720767,-121.376678 4240 WINJE DR,ANTELOPE,95843,CA,4,2,2504,Residential,Fri May 16 00:00:00 EDT 2008,246750,38.70884,-121.359559 3569 SODA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,247000,38.631139,-121.501879 5118 ROBANDER ST,CARMICHAEL,95608,CA,3,2,1676,Residential,Fri May 16 00:00:00 EDT 2008,247000,38.657267,-121.310352 5976 KYLENCH CT,CITRUS HEIGHTS,95621,CA,3,2,1367,Residential,Fri May 16 00:00:00 EDT 2008,249000,38.708966,-121.32467 9247 DELAIR WAY,ELK GROVE,95758,CA,4,3,1899,Residential,Fri May 16 00:00:00 EDT 2008,249000,38.422241,-121.458022 9054 DESCENDANT DR,ELK GROVE,95758,CA,3,2,1636,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.428852,-121.415628 3450 WHITNOR CT,SACRAMENTO,95821,CA,3,2,1828,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.627698,-121.369698 6288 LONETREE BLVD,ROCKLIN,95765,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.804993,-121.293609 9355 MATADOR WAY,SACRAMENTO,95826,CA,4,2,1438,Residential,Fri May 16 00:00:00 EDT 2008,252000,38.555633,-121.350691 8671 SUMMER SUN WAY,ELK GROVE,95624,CA,3,2,1451,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.442845,-121.373272 1890 GENEVA PL,SACRAMENTO,95825,CA,3,1,1520,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.599449,-121.400305 1813 AVENIDA MARTINA,ROSEVILLE,95747,CA,3,2,1506,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.776649,-121.339589 191 BARNHART CIR,SACRAMENTO,95835,CA,4,2,2605,Residential,Fri May 16 00:00:00 EDT 2008,257200,38.675594,-121.515878 6221 GREEN TOP WAY,ORANGEVALE,95662,CA,3,2,1196,Residential,Fri May 16 00:00:00 EDT 2008,260000,38.679409,-121.219107 2298 PRIMROSE LN,LINCOLN,95648,CA,3,2,1621,Residential,Fri May 16 00:00:00 EDT 2008,260000,38.89918,-121.322514 5635 LOS PUEBLOS WAY,SACRAMENTO,95835,CA,3,2,1811,Residential,Fri May 16 00:00:00 EDT 2008,263500,38.679191,-121.537622 10165 LOFTON WAY,ELK GROVE,95757,CA,3,2,1540,Residential,Fri May 16 00:00:00 EDT 2008,266510,38.387708,-121.436522 1251 GREEN RAVINE DR,LINCOLN,95648,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,267750,38.88156,-121.301343 6001 SHOO FLY RD,PLACERVILLE,95667,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,270000,38.813546,-120.809254 3040 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,271000,38.770835,-121.366996 2674 TAM O SHANTER DR,EL DORADO HILLS,95762,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,272700,38.695801,-121.079216 6007 MARYBELLE LN,SHINGLE SPRINGS,95682,CA,0,0,0,Unkown,Fri May 16 00:00:00 EDT 2008,275000,38.64347,-120.888183 9949 NESTLING CIR,ELK GROVE,95757,CA,3,2,1543,Residential,Fri May 16 00:00:00 EDT 2008,275000,38.397455,-121.468391 2915 HOLDREGE WAY,SACRAMENTO,95835,CA,5,3,2494,Residential,Fri May 16 00:00:00 EDT 2008,276000,38.663728,-121.525833 2678 BRIARTON DR,LINCOLN,95648,CA,3,2,1650,Residential,Fri May 16 00:00:00 EDT 2008,276500,38.844116,-121.274806 294 SPARROW DR,GALT,95632,CA,4,3,2214,Residential,Fri May 16 00:00:00 EDT 2008,278000,38.258976,-121.321266 2987 DIORITE WAY,SACRAMENTO,95835,CA,5,3,2280,Residential,Fri May 16 00:00:00 EDT 2008,279000,38.667332,-121.528276 6326 APPIAN WAY,CARMICHAEL,95608,CA,3,2,1443,Residential,Fri May 16 00:00:00 EDT 2008,280000,38.66266,-121.316858 6905 COBALT WAY,CITRUS HEIGHTS,95621,CA,4,2,1582,Residential,Fri May 16 00:00:00 EDT 2008,280000,38.691393,-121.305215 8986 HAFLINGER WAY,ELK GROVE,95757,CA,3,2,1857,Residential,Fri May 16 00:00:00 EDT 2008,285000,38.397923,-121.450219 2916 BABSON DR,ELK GROVE,95758,CA,3,2,1735,Residential,Fri May 16 00:00:00 EDT 2008,288000,38.417191,-121.473897 10133 NEBBIOLO CT,ELK GROVE,95624,CA,4,3,2096,Residential,Fri May 16 00:00:00 EDT 2008,289000,38.391085,-121.347231 1103 COMMONS DR,SACRAMENTO,95825,CA,3,2,1720,Residential,Fri May 16 00:00:00 EDT 2008,290000,38.567865,-121.410699 4636 TEAL BAY CT,ANTELOPE,95843,CA,4,2,2160,Residential,Fri May 16 00:00:00 EDT 2008,290000,38.704554,-121.354753 1524 YOUNGS AVE,SACRAMENTO,95838,CA,4,2,1382,Residential,Fri May 16 00:00:00 EDT 2008,293996,38.644927,-121.43054 865 CONRAD CT,PLACERVILLE,95667,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,294000,38.729993,-120.802458 8463 TERRACOTTA CT,ELK GROVE,95624,CA,4,2,1721,Residential,Fri May 16 00:00:00 EDT 2008,294173,38.450548,-121.363002 5747 KING RD,LOOMIS,95650,CA,4,2,1328,Residential,Fri May 16 00:00:00 EDT 2008,295000,38.825096,-121.198432 8253 KEEGAN WAY,ELK GROVE,95624,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,298000,38.446286,-121.400817 9204 TROUT WAY,ELK GROVE,95624,CA,4,2,1982,Residential,Fri May 16 00:00:00 EDT 2008,298000,38.422221,-121.375799 1828 2ND AVE,SACRAMENTO,95818,CA,2,1,1144,Residential,Fri May 16 00:00:00 EDT 2008,299000,38.556844,-121.490769 1113 COMMONS DR,SACRAMENTO,95825,CA,2,2,1623,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.567795,-121.410703 2341 BIG STRIKE TRL,COOL,95614,CA,3,2,1457,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.905927,-120.975169 9452 RED SPRUCE WAY,ELK GROVE,95624,CA,6,3,2555,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.404505,-121.346938 5776 TERRACE DR,ROCKLIN,95765,CA,3,2,1577,Residential,Fri May 16 00:00:00 EDT 2008,300567,38.800539,-121.260979 5908 MCLEAN DR,ELK GROVE,95757,CA,5,3,2592,Residential,Fri May 16 00:00:00 EDT 2008,303000,38.38912,-121.434389 8215 PEREGRINE WAY,CITRUS HEIGHTS,95610,CA,3,2,1401,Residential,Fri May 16 00:00:00 EDT 2008,305000,38.715493,-121.26293 1104 HILLSDALE LN,LINCOLN,95648,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,306000,38.865017,-121.32302 2949 PANAMA AVE,CARMICHAEL,95608,CA,3,2,1502,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.618369,-121.326187 1356 HARTLEY WAY,FOLSOM,95630,CA,3,2,1327,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.651617,-121.131674 633 HANISCH DR,ROSEVILLE,95678,CA,4,3,1800,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.76349,-121.275881 63 ANGEL ISLAND CIR,SACRAMENTO,95831,CA,4,2,2169,Residential,Fri May 16 00:00:00 EDT 2008,311518,38.490408,-121.547664 1571 WILD OAK LN,LINCOLN,95648,CA,5,3,2457,Residential,Fri May 16 00:00:00 EDT 2008,312000,38.844144,-121.274174 5222 COPPER SUNSET WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,313000,38.529181,-121.224755 5601 SPINDRIFT LN,ORANGEVALE,95662,CA,4,2,2004,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.668289,-121.192316 652 FIFTEEN MILE DR,ROSEVILLE,95678,CA,4,3,2212,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.775872,-121.298864 7921 DOE TRAIL WAY,ANTELOPE,95843,CA,5,3,3134,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.711927,-121.343608 4204 LUSK DR,SACRAMENTO,95864,CA,3,2,1360,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.606569,-121.368424 5321 DELTA DR,ROCKLIN,95765,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.815493,-121.262908 5608 ROSEDALE WAY,SACRAMENTO,95822,CA,3,2,1276,Residential,Fri May 16 00:00:00 EDT 2008,320000,38.525115,-121.518689 3372 BERETANIA WAY,SACRAMENTO,95834,CA,4,3,2962,Residential,Fri May 16 00:00:00 EDT 2008,322000,38.64977,-121.53448 2422 STEFANIE DR,ROCKLIN,95765,CA,4,2,1888,Residential,Fri May 16 00:00:00 EDT 2008,325000,38.82273,-121.26424 3232 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,325500,38.772821,-121.364821 448 ELMWOOD CT,ROSEVILLE,95678,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,326951,38.771917,-121.304439 1214 DAWNWOOD DR,GALT,95632,CA,3,2,1548,Residential,Fri May 16 00:00:00 EDT 2008,328370,38.290119,-121.286023 1440 EMERALD LN,LINCOLN,95648,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,330000,38.861864,-121.267478 3349 CORVINA DR,RANCHO CORDOVA,95670,CA,4,3,2109,Residential,Fri May 16 00:00:00 EDT 2008,330000,38.580545,-121.279016 10254 JULIANA WAY,SACRAMENTO,95827,CA,4,2,2484,Residential,Fri May 16 00:00:00 EDT 2008,331200,38.56803,-121.309966 149 OPUS CIR,SACRAMENTO,95834,CA,4,3,2258,Residential,Fri May 16 00:00:00 EDT 2008,332000,38.6354,-121.53499 580 REGENCY PARK CIR,SACRAMENTO,95835,CA,3,3,2212,Residential,Fri May 16 00:00:00 EDT 2008,334000,38.674864,-121.4958 5544 CAMAS CT,ORANGEVALE,95662,CA,3,2,1616,Residential,Fri May 16 00:00:00 EDT 2008,335000,38.667703,-121.209456 5102 ARCHCREST WAY,SACRAMENTO,95835,CA,4,2,2372,Residential,Fri May 16 00:00:00 EDT 2008,341000,38.66841,-121.494639 5725 BALFOR RD,ROCKLIN,95765,CA,5,3,2606,Residential,Fri May 16 00:00:00 EDT 2008,346375,38.807816,-121.270008 7697 ROSEHALL DR,ROSEVILLE,95678,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,347225,38.79218,-121.28595 4821 HUTSON WAY,ELK GROVE,95757,CA,5,3,2877,Residential,Fri May 16 00:00:00 EDT 2008,349000,38.386239,-121.448159 4509 WINJE DR,ANTELOPE,95843,CA,3,2,2960,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.709513,-121.359357 1965 LAURELHURST LN,LINCOLN,95648,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.853869,-121.271742 6709 ROSE BRIDGE DR,ROSEVILLE,95678,CA,3,2,2172,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.792461,-121.275711 281 SPYGLASS HL,ROSEVILLE,95678,CA,3,2,2100,Condo,Fri May 16 00:00:00 EDT 2008,350000,38.762153,-121.283451 7709 RIVER VILLAGE DR,SACRAMENTO,95831,CA,3,2,1795,Residential,Fri May 16 00:00:00 EDT 2008,351000,38.483212,-121.54019 4165 BRISBANE CIR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,356200,38.686067,-121.073413 506 BEDFORD CT,ROSEVILLE,95661,CA,4,2,2295,Residential,Fri May 16 00:00:00 EDT 2008,360000,38.733985,-121.236766 9048 PINTO CANYON WAY,ROSEVILLE,95747,CA,4,3,2577,Residential,Fri May 16 00:00:00 EDT 2008,367463,38.792493,-121.331899 2274 IVY BRIDGE DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,375000,38.778561,-121.362008 14004 WALNUT AVE,WALNUT GROVE,95690,CA,3,1,1727,Residential,Fri May 16 00:00:00 EDT 2008,380000,38.247659,-121.515129 6905 FRANKFORT CT,ELK GROVE,95758,CA,3,2,1485,Residential,Fri May 16 00:00:00 EDT 2008,380578,38.429139,-121.423444 3621 WINTUN DR,CARMICHAEL,95608,CA,3,2,1655,Residential,Fri May 16 00:00:00 EDT 2008,386222,38.629929,-121.323086 201 KIRKLAND CT,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,389000,38.867125,-121.319085 12075 APPLESBURY CT,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,390000,38.5357,-121.2249 1975 SIDESADDLE WAY,ROSEVILLE,95661,CA,3,2,2049,Residential,Fri May 16 00:00:00 EDT 2008,395500,38.737872,-121.249025 5420 ALMOND FALLS WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,396000,38.527384,-121.233531 9677 PILLITERI CT,ELK GROVE,95757,CA,5,3,2875,Residential,Fri May 16 00:00:00 EDT 2008,397000,38.405571,-121.445186 1515 EL CAMINO VERDE DR,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,400000,38.904869,-121.32075 556 PLATT CIR,EL DORADO HILLS,95762,CA,4,2,2199,Residential,Fri May 16 00:00:00 EDT 2008,400000,38.656299,-121.079783 1792 DIAMOND WOODS CIR,ROSEVILLE,95747,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,412500,38.808581,-121.32785 1124 PERKINS WAY,SACRAMENTO,95818,CA,2,1,1304,Residential,Fri May 16 00:00:00 EDT 2008,413500,38.551611,-121.504437 4748 SALEM WAY,CARMICHAEL,95608,CA,3,2,2334,Residential,Fri May 16 00:00:00 EDT 2008,415000,38.634111,-121.353376 1484 RADCLIFFE WAY,AUBURN,95603,CA,4,3,2278,Residential,Fri May 16 00:00:00 EDT 2008,420454,38.935579,-121.079018 51 AIKEN WAY,SACRAMENTO,95819,CA,3,1,1493,Residential,Fri May 16 00:00:00 EDT 2008,425000,38.579326,-121.44252 2818 KNOLLWOOD DR,CAMERON PARK,95682,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,425000,38.669805,-120.999007 1536 STONEY CROSS LN,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,433500,38.860007,-121.310946 509 CASTILLIAN CT,ROSEVILLE,95747,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,438000,38.804773,-121.341195 700 HUNTER PL,FOLSOM,95630,CA,5,3,2787,Residential,Fri May 16 00:00:00 EDT 2008,441000,38.66051,-121.163689 1240 FAY CIR,SACRAMENTO,95831,CA,5,3,2824,Residential,Fri May 16 00:00:00 EDT 2008,445000,38.506371,-121.514456 1113 SANDWICK WAY,FOLSOM,95630,CA,4,3,3261,Residential,Fri May 16 00:00:00 EDT 2008,446000,38.673882,-121.105077 3108 DELWOOD WAY,SACRAMENTO,95821,CA,4,2,2053,Residential,Fri May 16 00:00:00 EDT 2008,450000,38.621566,-121.370882 3212 CORNICHE LN,ROSEVILLE,95661,CA,4,3,2379,Residential,Fri May 16 00:00:00 EDT 2008,455000,38.750577,-121.232768 2159 BECKETT DR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,460000,38.680092,-121.036467 4320 FOUR SEASONS RD,PLACERVILLE,95667,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,475000,38.690867,-120.693641 6401 MARSHALL RD,GARDEN VALLEY,95633,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,490000,38.84255,-120.8754 2089 BECKETT DR,EL DORADO HILLS,95762,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,493000,38.681778,-121.035838 6196 EDGEHILL DR,EL DORADO HILLS,95762,CA,5,4,0,Residential,Fri May 16 00:00:00 EDT 2008,508000,38.676131,-121.038931 200 HILLSFORD CT,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,511000,38.780051,-121.378718 8217 PLUMERIA AVE,FAIR OAKS,95628,CA,3,2,3173,Residential,Fri May 16 00:00:00 EDT 2008,525000,38.650735,-121.258628 4841 VILLAGE GREEN DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,533000,38.664066,-121.056735 3863 LAS PASAS WAY,SACRAMENTO,95864,CA,3,1,1348,Residential,Fri May 16 00:00:00 EDT 2008,545000,38.588936,-121.373606 820 DANA CT,AUBURN,95603,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,560000,38.865246,-121.094869 1165 37TH ST,SACRAMENTO,95816,CA,2,1,1252,Residential,Fri May 16 00:00:00 EDT 2008,575000,38.568438,-121.457854 203 CASCADE FALLS DR,FOLSOM,95630,CA,4,3,3229,Residential,Fri May 16 00:00:00 EDT 2008,575000,38.703962,-121.1871 9880 IZILDA CT,SACRAMENTO,95829,CA,5,4,3863,Residential,Fri May 16 00:00:00 EDT 2008,598695,38.45326,-121.32573 1800 AVONDALE DR,ROSEVILLE,95747,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.798448,-121.344054 4620 BROMWICH CT,ROCKLIN,95677,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.772672,-121.220232 620 KESWICK CT,GRANITE BAY,95746,CA,4,3,2356,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.732096,-121.219142 4478 GREENBRAE RD,ROCKLIN,95677,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.781134,-121.222801 8432 BRIGGS DR,ROSEVILLE,95747,CA,5,3,3579,Residential,Fri May 16 00:00:00 EDT 2008,610000,38.78861,-121.339495 200 CRADLE MOUNTAIN CT,EL DORADO HILLS,95762,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,622500,38.6478,-121.0309 2065 IMPRESSIONIST WAY,EL DORADO HILLS,95762,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,680000,38.682961,-121.033253 2982 ABERDEEN LN,EL DORADO HILLS,95762,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,879000,38.706692,-121.058869 9401 BARREL RACER CT,WILTON,95693,CA,4,3,4400,Residential,Fri May 16 00:00:00 EDT 2008,884790,38.415298,-121.194858 3720 VISTA DE MADERA,LINCOLN,95648,CA,3,3,0,Residential,Fri May 16 00:00:00 EDT 2008,1551,38.851645,-121.231742 14151 INDIO DR,SLOUGHHOUSE,95683,CA,3,4,5822,Residential,Fri May 16 00:00:00 EDT 2008,2000,38.490447,-121.129337 7401 TOULON LN,SACRAMENTO,95828,CA,4,2,1512,Residential,Thu May 15 00:00:00 EDT 2008,56950,38.488628,-121.387759 9127 NEWHALL DR Unit 34,SACRAMENTO,95826,CA,1,1,611,Condo,Thu May 15 00:00:00 EDT 2008,60000,38.542419,-121.359904 5937 BAMFORD DR,SACRAMENTO,95823,CA,2,1,876,Residential,Thu May 15 00:00:00 EDT 2008,61000,38.471139,-121.432255 5672 HILLSDALE BLVD,SACRAMENTO,95842,CA,2,1,933,Condo,Thu May 15 00:00:00 EDT 2008,62000,38.670467,-121.359799 3920 39TH ST,SACRAMENTO,95820,CA,2,1,864,Residential,Thu May 15 00:00:00 EDT 2008,68566,38.539213,-121.46393 701 JESSIE AVE,SACRAMENTO,95838,CA,2,1,1011,Residential,Thu May 15 00:00:00 EDT 2008,70000,38.643978,-121.449562 83 ARCADE BLVD,SACRAMENTO,95815,CA,4,2,1158,Residential,Thu May 15 00:00:00 EDT 2008,80000,38.618716,-121.466327 601 REGGINALD WAY,SACRAMENTO,95838,CA,3,2,1092,Residential,Thu May 15 00:00:00 EDT 2008,85500,38.64472,-121.452228 550 DEL VERDE CIR,SACRAMENTO,95833,CA,2,1,956,Condo,Thu May 15 00:00:00 EDT 2008,92000,38.627147,-121.500799 4113 DAYSTAR CT,SACRAMENTO,95824,CA,2,2,1139,Residential,Thu May 15 00:00:00 EDT 2008,93600,38.520469,-121.458606 7374 TISDALE WAY,SACRAMENTO,95822,CA,3,1,1058,Residential,Thu May 15 00:00:00 EDT 2008,95000,38.488238,-121.472561 3348 RIO LINDA BLVD,SACRAMENTO,95838,CA,3,2,1040,Residential,Thu May 15 00:00:00 EDT 2008,97750,38.628842,-121.446127 3935 LIMESTONE WAY,SACRAMENTO,95823,CA,3,2,1354,Residential,Thu May 15 00:00:00 EDT 2008,104000,38.484374,-121.463157 6208 GRATTAN WAY,NORTH HIGHLANDS,95660,CA,3,1,1051,Residential,Thu May 15 00:00:00 EDT 2008,105000,38.679279,-121.376615 739 E WOODSIDE LN Unit E,SACRAMENTO,95825,CA,1,1,682,Condo,Thu May 15 00:00:00 EDT 2008,107666,38.578675,-121.409951 4225 46TH AVE,SACRAMENTO,95824,CA,3,1,1161,Residential,Thu May 15 00:00:00 EDT 2008,109000,38.511893,-121.457676 1434 BELL AVE,SACRAMENTO,95838,CA,3,1,1004,Residential,Thu May 15 00:00:00 EDT 2008,110000,38.647398,-121.432914 5628 GEORGIA DR,NORTH HIGHLANDS,95660,CA,3,1,1229,Residential,Thu May 15 00:00:00 EDT 2008,110000,38.669587,-121.379879 7629 BETH ST,SACRAMENTO,95832,CA,3,2,1249,Residential,Thu May 15 00:00:00 EDT 2008,112500,38.480126,-121.487869 2277 BABETTE WAY,SACRAMENTO,95832,CA,3,2,1161,Residential,Thu May 15 00:00:00 EDT 2008,114800,38.479593,-121.48434 6561 WEATHERFORD WAY,SACRAMENTO,95823,CA,3,1,1010,Residential,Thu May 15 00:00:00 EDT 2008,116000,38.465551,-121.42661 3035 ESTEPA DR Unit 5C,CAMERON PARK,95682,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,119000,38.681393,-120.996713 5136 CABOT CIR,SACRAMENTO,95820,CA,4,2,1462,Residential,Thu May 15 00:00:00 EDT 2008,121500,38.528479,-121.411806 7730 ROBINETTE RD,SACRAMENTO,95828,CA,3,2,1269,Residential,Thu May 15 00:00:00 EDT 2008,122000,38.47709,-121.410569 87 LACAM CIR,SACRAMENTO,95820,CA,2,2,1188,Residential,Thu May 15 00:00:00 EDT 2008,123675,38.532359,-121.41167 1691 NOGALES ST,SACRAMENTO,95838,CA,4,2,1570,Residential,Thu May 15 00:00:00 EDT 2008,126854,38.631925,-121.427775 3118 42ND ST,SACRAMENTO,95817,CA,3,2,1093,Residential,Thu May 15 00:00:00 EDT 2008,127059,38.546091,-121.457745 7517 50TH AVE,SACRAMENTO,95828,CA,3,1,962,Residential,Thu May 15 00:00:00 EDT 2008,128687,38.507339,-121.416267 4071 EVALITA WAY,SACRAMENTO,95823,CA,3,2,1089,Residential,Thu May 15 00:00:00 EDT 2008,129500,38.466388,-121.458861 7928 36TH AVE,SACRAMENTO,95824,CA,3,2,1127,Residential,Thu May 15 00:00:00 EDT 2008,130000,38.52049,-121.411383 6631 DEMARET DR,SACRAMENTO,95822,CA,4,2,1309,Residential,Thu May 15 00:00:00 EDT 2008,131750,38.506382,-121.483574 7043 9TH AVE,RIO LINDA,95673,CA,2,1,970,Residential,Thu May 15 00:00:00 EDT 2008,132000,38.695589,-121.444133 97 KENNELFORD CIR,SACRAMENTO,95823,CA,3,2,1144,Residential,Thu May 15 00:00:00 EDT 2008,134000,38.462376,-121.426556 2636 TRONERO WAY,RANCHO CORDOVA,95670,CA,3,1,1000,Residential,Thu May 15 00:00:00 EDT 2008,134000,38.593049,-121.30304 1530 TOPANGA LN Unit 204,LINCOLN,95648,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,138000,38.88415,-121.270277 3604 KODIAK WAY,ANTELOPE,95843,CA,3,2,1206,Residential,Thu May 15 00:00:00 EDT 2008,142000,38.706175,-121.379776 2149 COTTAGE WAY,SACRAMENTO,95825,CA,3,1,1285,Residential,Thu May 15 00:00:00 EDT 2008,143012,38.603593,-121.417011 8632 PRAIRIEWOODS DR,SACRAMENTO,95828,CA,3,2,1543,Residential,Thu May 15 00:00:00 EDT 2008,145846,38.477563,-121.384382 612 STONE BLVD,WEST SACRAMENTO,95691,CA,2,1,884,Residential,Thu May 15 00:00:00 EDT 2008,147000,38.563084,-121.535579 4180 12TH AVE,SACRAMENTO,95817,CA,3,1,1019,Residential,Thu May 15 00:00:00 EDT 2008,148750,38.54117,-121.458129 8025 ARROYO VISTA DR,SACRAMENTO,95823,CA,4,2,1392,Residential,Thu May 15 00:00:00 EDT 2008,150000,38.46654,-121.419029 5754 WALERGA RD Unit 4,SACRAMENTO,95842,CA,2,1,924,Condo,Thu May 15 00:00:00 EDT 2008,150454,38.672567,-121.356754 8 LA ROCAS CT,SACRAMENTO,95823,CA,3,2,1217,Residential,Thu May 15 00:00:00 EDT 2008,151087,38.46616,-121.448283 8636 LONGSPUR WAY,ANTELOPE,95843,CA,3,2,1670,Residential,Thu May 15 00:00:00 EDT 2008,157296,38.725873,-121.35856 1941 EXPEDITION WAY,SACRAMENTO,95832,CA,3,2,1302,Residential,Thu May 15 00:00:00 EDT 2008,157500,38.473775,-121.493777 4351 TURNBRIDGE DR,SACRAMENTO,95823,CA,3,2,1488,Residential,Thu May 15 00:00:00 EDT 2008,160000,38.502034,-121.456027 6513 HOLIDAY WAY,NORTH HIGHLANDS,95660,CA,3,2,1373,Residential,Thu May 15 00:00:00 EDT 2008,160000,38.685361,-121.376938 8321 MISTLETOE WAY,CITRUS HEIGHTS,95621,CA,4,2,1381,Residential,Thu May 15 00:00:00 EDT 2008,161250,38.717738,-121.308322 5920 VALLEY GLEN WAY,SACRAMENTO,95823,CA,3,2,1265,Residential,Thu May 15 00:00:00 EDT 2008,164000,38.462821,-121.433135 2601 SAN FERNANDO WAY,SACRAMENTO,95818,CA,2,1,881,Residential,Thu May 15 00:00:00 EDT 2008,165000,38.556178,-121.476256 501 POPLAR AVE,WEST SACRAMENTO,95691,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,165000,38.584526,-121.534609 8008 SAINT HELENA CT,SACRAMENTO,95829,CA,4,2,1608,Residential,Thu May 15 00:00:00 EDT 2008,165750,38.467012,-121.359969 6517 DONEGAL DR,CITRUS HEIGHTS,95621,CA,3,1,1344,Residential,Thu May 15 00:00:00 EDT 2008,166000,38.681554,-121.312934 1001 RIO NORTE WAY,SACRAMENTO,95834,CA,3,2,1202,Residential,Thu May 15 00:00:00 EDT 2008,169000,38.634292,-121.485106 604 P ST,LINCOLN,95648,CA,3,2,1104,Residential,Thu May 15 00:00:00 EDT 2008,170000,38.893168,-121.305398 10001 WOODCREEK OAKS BLVD Unit 815,ROSEVILLE,95747,CA,2,2,0,Condo,Thu May 15 00:00:00 EDT 2008,170000,38.795529,-121.328819 7351 GIGI PL,SACRAMENTO,95828,CA,4,2,1859,Multi-Family,Thu May 15 00:00:00 EDT 2008,170000,38.490606,-121.410173 7740 DIXIE LOU ST,SACRAMENTO,95832,CA,3,2,1232,Residential,Thu May 15 00:00:00 EDT 2008,170000,38.475853,-121.477039 7342 DAVE ST,SACRAMENTO,95828,CA,3,1,1638,Residential,Thu May 15 00:00:00 EDT 2008,170725,38.490822,-121.401643 7687 HOWERTON DR,SACRAMENTO,95831,CA,2,2,1177,Residential,Thu May 15 00:00:00 EDT 2008,171750,38.480859,-121.539745 26 KAMSON CT,SACRAMENTO,95833,CA,3,2,1582,Residential,Thu May 15 00:00:00 EDT 2008,172000,38.622794,-121.499173 7045 PEEVEY CT,SACRAMENTO,95823,CA,2,2,904,Residential,Thu May 15 00:00:00 EDT 2008,173056,38.502254,-121.451444 8916 GABLES MILL PL,ELK GROVE,95758,CA,3,2,1340,Residential,Thu May 15 00:00:00 EDT 2008,174000,38.433919,-121.422347 1140 EDMONTON DR,SACRAMENTO,95833,CA,3,2,1204,Residential,Thu May 15 00:00:00 EDT 2008,174250,38.62457,-121.486913 8879 APPLE PEAR CT,ELK GROVE,95624,CA,4,2,1477,Residential,Thu May 15 00:00:00 EDT 2008,176850,38.44574,-121.3725 9 WIND CT,SACRAMENTO,95823,CA,4,2,1497,Residential,Thu May 15 00:00:00 EDT 2008,179500,38.45073,-121.427528 8570 SHERATON DR,FAIR OAKS,95628,CA,3,1,960,Residential,Thu May 15 00:00:00 EDT 2008,185000,38.667254,-121.240708 1550 TOPANGA LN Unit 207,LINCOLN,95648,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,188000,38.88417,-121.270222 1080 RIO NORTE WAY,SACRAMENTO,95834,CA,3,2,1428,Residential,Thu May 15 00:00:00 EDT 2008,188700,38.634335,-121.486098 5501 VALLETTA WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Thu May 15 00:00:00 EDT 2008,189000,38.530144,-121.43749 5624 MEMORY LN,FAIR OAKS,95628,CA,3,1,1529,Residential,Thu May 15 00:00:00 EDT 2008,189000,38.66745,-121.2364 6622 WILLOWLEAF DR,CITRUS HEIGHTS,95621,CA,4,3,1892,Residential,Thu May 15 00:00:00 EDT 2008,189836,38.699714,-121.311635 27 MEGAN CT,SACRAMENTO,95838,CA,4,2,1887,Residential,Thu May 15 00:00:00 EDT 2008,190000,38.649258,-121.465308 6601 WOODMORE OAKS DR,ORANGEVALE,95662,CA,3,2,1294,Residential,Thu May 15 00:00:00 EDT 2008,191250,38.687006,-121.254319 1973 DANVERS WAY,SACRAMENTO,95832,CA,3,2,1638,Residential,Thu May 15 00:00:00 EDT 2008,191675,38.477568,-121.492574 8001 ARROYO VISTA DR,SACRAMENTO,95823,CA,3,2,1677,Residential,Thu May 15 00:00:00 EDT 2008,195500,38.46734,-121.419843 7409 VOYAGER WAY,CITRUS HEIGHTS,95621,CA,3,1,1073,Residential,Thu May 15 00:00:00 EDT 2008,198000,38.700717,-121.3133 815 CROSSWIND DR,SACRAMENTO,95838,CA,3,2,1231,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.651386,-121.45042 5509 LAGUNA CREST WAY,ELK GROVE,95758,CA,3,2,1175,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.42442,-121.440357 8424 MERRY HILL WAY,ELK GROVE,95624,CA,3,2,1416,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.452075,-121.366461 1525 PENNSYLVANIA AVE,WEST SACRAMENTO,95691,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,200100,38.569943,-121.527539 5954 BRIDGECROSS DR,SACRAMENTO,95835,CA,3,2,1358,Residential,Thu May 15 00:00:00 EDT 2008,201528,38.68197,-121.500025 8789 SEQUOIA WOOD CT,ELK GROVE,95624,CA,4,2,1609,Residential,Thu May 15 00:00:00 EDT 2008,204750,38.438818,-121.37443 6600 SILVERTHORNE CIR,SACRAMENTO,95842,CA,4,3,1968,Residential,Thu May 15 00:00:00 EDT 2008,205000,38.68607,-121.342369 2221 2ND AVE,SACRAMENTO,95818,CA,2,2,1089,Residential,Thu May 15 00:00:00 EDT 2008,205000,38.555781,-121.485331 3230 SMATHERS WAY,CARMICHAEL,95608,CA,3,2,1296,Residential,Thu May 15 00:00:00 EDT 2008,205900,38.623372,-121.347665 5209 LAGUNA CREST WAY,ELK GROVE,95758,CA,2,2,1189,Residential,Thu May 15 00:00:00 EDT 2008,207000,38.424421,-121.443915 416 LEITCH AVE,SACRAMENTO,95815,CA,2,1,795,Residential,Thu May 15 00:00:00 EDT 2008,207973,38.612694,-121.456669 2100 BEATTY WAY,ROSEVILLE,95747,CA,3,2,1371,Residential,Thu May 15 00:00:00 EDT 2008,208250,38.737882,-121.308142 6920 GILLINGHAM WAY,NORTH HIGHLANDS,95660,CA,3,1,1310,Residential,Thu May 15 00:00:00 EDT 2008,208318,38.694279,-121.373395 82 WILDFLOWER DR,GALT,95632,CA,3,2,1262,Residential,Thu May 15 00:00:00 EDT 2008,209347,38.259708,-121.311616 8652 BANTON CIR,ELK GROVE,95624,CA,4,2,1740,Residential,Thu May 15 00:00:00 EDT 2008,211500,38.444,-121.370993 8428 MISTY PASS WAY,ANTELOPE,95843,CA,3,2,1517,Residential,Thu May 15 00:00:00 EDT 2008,212000,38.722959,-121.347115 7958 ROSEVIEW WAY,SACRAMENTO,95828,CA,3,2,1450,Residential,Thu May 15 00:00:00 EDT 2008,213000,38.467836,-121.410366 9020 LUKEN CT,ELK GROVE,95624,CA,3,2,1416,Residential,Thu May 15 00:00:00 EDT 2008,216000,38.451398,-121.366614 7809 VALLECITOS WAY,SACRAMENTO,95828,CA,3,1,888,Residential,Thu May 15 00:00:00 EDT 2008,216021,38.508217,-121.411207 8445 OLD AUBURN RD,CITRUS HEIGHTS,95610,CA,3,2,1882,Residential,Thu May 15 00:00:00 EDT 2008,219000,38.715423,-121.246743 10085 ATKINS DR,ELK GROVE,95757,CA,3,2,1302,Residential,Thu May 15 00:00:00 EDT 2008,219794,38.390893,-121.437821 9185 CERROLINDA CIR,ELK GROVE,95758,CA,3,2,1418,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.424497,-121.426595 9197 CORTINA CIR,ROSEVILLE,95678,CA,3,2,0,Condo,Thu May 15 00:00:00 EDT 2008,220000,38.793152,-121.290025 5429 HESPER WAY,CARMICHAEL,95608,CA,4,2,1319,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.665104,-121.315901 1178 WARMWOOD CT,GALT,95632,CA,4,2,1770,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.289544,-121.284607 4900 ELUDE CT,SACRAMENTO,95842,CA,4,2,1627,Residential,Thu May 15 00:00:00 EDT 2008,223000,38.69674,-121.350519 3557 SODA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,224000,38.631026,-121.501879 3528 SAINT GEORGE DR,SACRAMENTO,95821,CA,3,1,1040,Residential,Thu May 15 00:00:00 EDT 2008,224000,38.629468,-121.376445 7381 WASHBURN WAY,NORTH HIGHLANDS,95660,CA,3,1,960,Residential,Thu May 15 00:00:00 EDT 2008,224252,38.70355,-121.375103 2181 WINTERHAVEN CIR,CAMERON PARK,95682,CA,3,2,0,Residential,Thu May 15 00:00:00 EDT 2008,224500,38.69757,-120.995739 7540 HICKORY AVE,ORANGEVALE,95662,CA,3,1,1456,Residential,Thu May 15 00:00:00 EDT 2008,225000,38.703056,-121.235221 5024 CHAMBERLIN CIR,ELK GROVE,95757,CA,3,2,1450,Residential,Thu May 15 00:00:00 EDT 2008,228000,38.389756,-121.446246 2400 INVERNESS DR,LINCOLN,95648,CA,3,2,1358,Residential,Thu May 15 00:00:00 EDT 2008,229027,38.897814,-121.324691 5 BISHOPGATE CT,SACRAMENTO,95823,CA,4,2,1329,Residential,Thu May 15 00:00:00 EDT 2008,229500,38.467936,-121.445477 5601 REXLEIGH DR,SACRAMENTO,95823,CA,4,2,1715,Residential,Thu May 15 00:00:00 EDT 2008,230000,38.445342,-121.441504 1909 YARNELL WAY,ELK GROVE,95758,CA,3,2,1262,Residential,Thu May 15 00:00:00 EDT 2008,230000,38.417382,-121.484325 9169 GARLINGTON CT,SACRAMENTO,95829,CA,4,3,2280,Residential,Thu May 15 00:00:00 EDT 2008,232425,38.457679,-121.35962 6932 RUSKUT WAY,SACRAMENTO,95823,CA,3,2,1477,Residential,Thu May 15 00:00:00 EDT 2008,234000,38.499893,-121.45889 7933 DAFFODIL WAY,CITRUS HEIGHTS,95610,CA,3,2,1216,Residential,Thu May 15 00:00:00 EDT 2008,235000,38.708824,-121.256803 8304 RED FOX WAY,ELK GROVE,95758,CA,4,2,1685,Residential,Thu May 15 00:00:00 EDT 2008,235301,38.417,-121.397424 3882 YELLOWSTONE LN,EL DORADO HILLS,95762,CA,3,2,1362,Residential,Thu May 15 00:00:00 EDT 2008,235738,38.655245,-121.075915 snakemake-6.15.1/tests/test_module_report/testdir/000077500000000000000000000000001417574166400223215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_report/testdir/.snakemake_timestamp000066400000000000000000000000001417574166400263320ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_report/testdir/1.txt000066400000000000000000000000021417574166400232120ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_module_report/testdir/2.txt000066400000000000000000000000021417574166400232130ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_module_report/testdir/3.txt000066400000000000000000000000021417574166400232140ustar00rootroot000000000000003 snakemake-6.15.1/tests/test_module_report/testmodel.fig2.png000066400000000000000000000216011417574166400241770ustar00rootroot00000000000000‰PNG  IHDR 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7ÜpäÕ¢[n¹%l׎¡·çV©»6þü¸÷Þ{cúôéÝ>¬zØìÙ³#¿×~U_έRwíÃþpìÛ·/.»ì²¨¯¯Ý»wDzeËbÓ¦MÑÖÖûØÇ"®ýª¾œ[¥îÚñL›6-ž{î¹ø¯ÿú¯#×ìÛ)ÿ³+ÏJŸûÜçJ#GŽ,{î¹¥)S¦”~ðƒt{Îœ9sJÕÕÕ¥íÛ·w»þüóÏ—þàþ 4lØ°ÒÀK—_~yÅütÒÞžÛí·ß^z÷»ß]:théì³Ï.]pÁ¥›nº©´gÏžì/!Ý\Pªªª*UUU•ª««KÕÕÕGþ÷á3²kGëí¹Uê®M›6íÈýê¯êêê#ϳkÝõåÜ*u×þîïþ®ôÛ¿ýÛ¥#F”Î:ë¬Rmmméšk®)­ZµªÛóìZw}9·Jݵã™6mZiüøñݮٷ¾ó Æg@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4ÿܬ™SÓS–§IEND®B`‚snakemake-6.15.1/tests/test_module_with_script/000077500000000000000000000000001417574166400216675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_with_script/Snakefile000066400000000000000000000005331417574166400235140ustar00rootroot00000000000000from snakemake.utils import min_version min_version("6.1.1") configfile: "config.yaml" module with_script: snakefile: github("snakemake/snakemake", tag="v6.1.1", path="tests/test_script_py/Snakefile") config: config use rule * from with_script as with_script_* rule all: input: rules.with_script_all.input snakemake-6.15.1/tests/test_module_with_script/config.yaml000066400000000000000000000000131417574166400240120ustar00rootroot00000000000000test: true snakemake-6.15.1/tests/test_module_with_script/expected-results/000077500000000000000000000000001417574166400251675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_with_script/expected-results/test.out000066400000000000000000000000061417574166400266730ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/000077500000000000000000000000001417574166400244075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/Snakefile000066400000000000000000000003221417574166400262300ustar00rootroot00000000000000configfile: "config/config.yaml" module test: snakefile: "module-test/Snakefile" config: config replace_prefix: {"results/": "results/testmodule/"} use rule * from test snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/config/000077500000000000000000000000001417574166400256545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/config/config.yaml000066400000000000000000000000071417574166400300020ustar00rootroot00000000000000test: 1snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/expected-results/000077500000000000000000000000001417574166400277075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/expected-results/results/000077500000000000000000000000001417574166400314105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/expected-results/results/testmodule/000077500000000000000000000000001417574166400335755ustar00rootroot00000000000000test.out000066400000000000000000000000001417574166400352140ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/expected-results/results/testmodulesnakemake-6.15.1/tests/test_module_workflow_snakefile_usage/module-test/000077500000000000000000000000001417574166400266515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/module-test/Snakefile000066400000000000000000000007111417574166400304740ustar00rootroot00000000000000configfile: "config.yaml" # does not exist, but this statement should be ignored on module import def params_func(filename): return str((Path(workflow.snakefile).parent / filename).as_posix()) rule a: output: "results/test.out" params: some_resource=params_func("some_file.txt"), other_resource=lambda w: params_func("some_file.txt") shell: "cat {params.some_resource} {params.other_resource} > {output}" snakemake-6.15.1/tests/test_module_workflow_snakefile_usage/module-test/some_file.txt000066400000000000000000000000001417574166400313420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/000077500000000000000000000000001417574166400202635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/Snakefile000066400000000000000000000004131417574166400221050ustar00rootroot00000000000000shell.executable("bash") configfile: "config/config.yaml" module test: snakefile: "module-test/Snakefile" config: config replace_prefix: {"results/": "results/testmodule/"} use rule * from test assert test.some_func() == 15 snakemake-6.15.1/tests/test_modules_all/config/000077500000000000000000000000001417574166400215305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/config/config.yaml000066400000000000000000000000071417574166400236560ustar00rootroot00000000000000test: 1snakemake-6.15.1/tests/test_modules_all/expected-results/000077500000000000000000000000001417574166400235635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/expected-results/results/000077500000000000000000000000001417574166400252645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/expected-results/results/testmodule/000077500000000000000000000000001417574166400274515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/expected-results/results/testmodule/test.out000066400000000000000000000000021417574166400311510ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_modules_all/module-test/000077500000000000000000000000001417574166400225255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_all/module-test/Snakefile000066400000000000000000000003471417574166400243550ustar00rootroot00000000000000configfile: "config.yaml" # does not exist, but this statement should be ignored on module import def some_func(): return 15 rule a: output: "results/test.out" shell: "echo {config[test]} > {output}"snakemake-6.15.1/tests/test_modules_meta_wrapper/000077500000000000000000000000001417574166400222015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_meta_wrapper/Snakefile000066400000000000000000000004171417574166400240270ustar00rootroot00000000000000configfile: "config.yaml" module bwa_mapping: meta_wrapper: "0.72.0/meta/bio/bwa_mapping" use rule * from bwa_mapping def get_input(wildcards): return config["samples"][wildcards.sample] use rule bwa_mem from bwa_mapping with: input: get_inputsnakemake-6.15.1/tests/test_modules_meta_wrapper/config.yaml000066400000000000000000000000671417574166400243350ustar00rootroot00000000000000samples: a: - "test.1.fastq" - "test.2.fastq"snakemake-6.15.1/tests/test_modules_meta_wrapper/expected-results/000077500000000000000000000000001417574166400255015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_meta_wrapper/expected-results/.gitempty000066400000000000000000000000001417574166400273320ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_meta_wrapper/test.1.fastq000066400000000000000000000000001417574166400243450ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_meta_wrapper/test.2.fastq000066400000000000000000000000001417574166400243460ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/000077500000000000000000000000001417574166400210105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/Snakefile000066400000000000000000000003441417574166400226350ustar00rootroot00000000000000shell.executable("bash") configfile: "config/config.yaml" module test: snakefile: "module-test/Snakefile" config: config prefix: "foo" use rule * from test assert test.some_func() == 15 snakemake-6.15.1/tests/test_modules_prefix/config/000077500000000000000000000000001417574166400222555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/config/config.yaml000066400000000000000000000000071417574166400244030ustar00rootroot00000000000000test: 1snakemake-6.15.1/tests/test_modules_prefix/expected-results/000077500000000000000000000000001417574166400243105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/expected-results/foo/000077500000000000000000000000001417574166400250735ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/expected-results/foo/results/000077500000000000000000000000001417574166400265745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/expected-results/foo/results/test.out000066400000000000000000000000021417574166400302740ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_modules_prefix/module-test/000077500000000000000000000000001417574166400232525ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_prefix/module-test/Snakefile000066400000000000000000000004251417574166400250770ustar00rootroot00000000000000configfile: "config.yaml" # does not exist, but this statement should be ignored on module import def some_func(): return 15 rule a: output: "results/test.out", "/tmp/foo.txt" shell: "echo {config[test]} > {output[0]}; touch {output[1]}"snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/000077500000000000000000000000001417574166400237075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/Snakefile000066400000000000000000000005611417574166400255350ustar00rootroot00000000000000rule all: input: "test2.txt", "test3.txt", "test4.txt", module somemodule: snakefile: "module/Snakefile" config: config use rule * from somemodule as somemodule_* module someothermodule: snakefile: "module2/Snakefile" config: config use rule * from someothermodule as someothermodule_*snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/expected-results/000077500000000000000000000000001417574166400272075ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/expected-results/test2.txt000066400000000000000000000000051417574166400310040ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/module/000077500000000000000000000000001417574166400251745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/module/Snakefile000066400000000000000000000004011417574166400270130ustar00rootroot00000000000000rule a: output: "test.txt" shell: "echo test > {output}" rule b: input: rules.a.output[0] output: "test2.txt" shell: "cp {input} {output}" use rule b as c with: output: "test4.txt"snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/module2/000077500000000000000000000000001417574166400252565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_ruledeps_inheritance/module2/Snakefile000066400000000000000000000001201417574166400270730ustar00rootroot00000000000000rule a: output: "test3.txt" shell: "echo foo > {output}"snakemake-6.15.1/tests/test_modules_specific/000077500000000000000000000000001417574166400213005ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_specific/Snakefile000066400000000000000000000003201417574166400231170ustar00rootroot00000000000000shell.executable("bash") module test: snakefile: "module-test/Snakefile" use rule * from test as test_* use rule a from test as test_* with: output: "test2.out" params: test=2snakemake-6.15.1/tests/test_modules_specific/expected-results/000077500000000000000000000000001417574166400246005ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_specific/expected-results/test2.out000066400000000000000000000000021417574166400263620ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_modules_specific/module-test/000077500000000000000000000000001417574166400235425ustar00rootroot00000000000000snakemake-6.15.1/tests/test_modules_specific/module-test/Snakefile000066400000000000000000000002161417574166400253650ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" params: test=1 shell: "echo {params.test} > {output}"snakemake-6.15.1/tests/test_multicomp_group_jobs/000077500000000000000000000000001417574166400222255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multicomp_group_jobs/Snakefile000066400000000000000000000006441417574166400240550ustar00rootroot00000000000000samples = list(range(10)) rule all: input: "test.out" rule a: output: "a/{sample}.out" shell: "touch {output}" rule b: input: "a/{sample}.out" output: "b/{sample}.out" shell: "touch {output}" rule c: input: expand("b/{sample}.out", sample=samples) output: "test.out" group: 1 shell: "touch {output}" snakemake-6.15.1/tests/test_multicomp_group_jobs/expected-results/000077500000000000000000000000001417574166400255255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multicomp_group_jobs/expected-results/test.out000066400000000000000000000000001417574166400272230ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multicomp_group_jobs/qsub000077500000000000000000000002001417574166400231150ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM sh $1 snakemake-6.15.1/tests/test_multiext/000077500000000000000000000000001417574166400176365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiext/Snakefile000066400000000000000000000001731417574166400214630ustar00rootroot00000000000000rule a: output: multiext("ref/genome", ".ann", ".bwt", ".sa", "_test.fai") shell: "touch {output}" snakemake-6.15.1/tests/test_multiext/expected-results/000077500000000000000000000000001417574166400231365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiext/expected-results/ref/000077500000000000000000000000001417574166400237125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiext/expected-results/ref/genome.ann000066400000000000000000000000001417574166400256500ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiext/expected-results/ref/genome.bwt000066400000000000000000000000001417574166400256700ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiext/expected-results/ref/genome.sa000066400000000000000000000000001417574166400254770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiple_includes/000077500000000000000000000000001417574166400215045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiple_includes/Snakefile000066400000000000000000000002531417574166400233300ustar00rootroot00000000000000from pathlib import Path include: 'test_rule.smk' include: 'test_second_rule.smk' include: Path('test_third_rule.smk') rule all: input: rules.test_third_rule.outputsnakemake-6.15.1/tests/test_multiple_includes/expected-results/000077500000000000000000000000001417574166400250045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiple_includes/expected-results/test1.txt000066400000000000000000000000001417574166400265730ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiple_includes/expected-results/test2.txt000066400000000000000000000000001417574166400265740ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiple_includes/expected-results/test3.txt000066400000000000000000000000001417574166400265750ustar00rootroot00000000000000snakemake-6.15.1/tests/test_multiple_includes/test_rule.smk000066400000000000000000000001041417574166400242210ustar00rootroot00000000000000rule test_rule: output: 'test1.txt' shell: 'touch {output}'snakemake-6.15.1/tests/test_multiple_includes/test_second_rule.smk000066400000000000000000000001551417574166400255620ustar00rootroot00000000000000rule test_second_rule: input: rules.test_rule.output output: 'test2.txt' shell: 'touch {output}'snakemake-6.15.1/tests/test_multiple_includes/test_third_rule.smk000066400000000000000000000001621417574166400254170ustar00rootroot00000000000000rule test_third_rule: input: rules.test_second_rule.output output: 'test3.txt' shell: 'touch {output}'snakemake-6.15.1/tests/test_name_override/000077500000000000000000000000001417574166400206025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_name_override/Snakefile000066400000000000000000000004661417574166400224340ustar00rootroot00000000000000shell.executable("bash") rule all: input: txt = 'out2.txt' some_var: str = 'generate_out' rule: name: some_var output: 'out1.txt' shell: '''echo {rule} > {output}''' rule name1: name: "name2" input: 'out1.txt' output: 'out2.txt' shell: '''echo {rule} > {output}''' snakemake-6.15.1/tests/test_name_override/expected-results/000077500000000000000000000000001417574166400241025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_name_override/expected-results/out1.txt000066400000000000000000000000151417574166400255270ustar00rootroot00000000000000generate_out snakemake-6.15.1/tests/test_name_override/expected-results/out2.txt000066400000000000000000000000061417574166400255300ustar00rootroot00000000000000name2 snakemake-6.15.1/tests/test_nonstr_params/000077500000000000000000000000001417574166400206515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_nonstr_params/Snakefile000066400000000000000000000002171417574166400224750ustar00rootroot00000000000000rule: output: "test.out" params: test=True run: assert params.test is True shell("touch {output}") snakemake-6.15.1/tests/test_nonstr_params/expected-results/000077500000000000000000000000001417574166400241515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_nonstr_params/expected-results/test.out000066400000000000000000000000001417574166400256470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_omitfrom/000077500000000000000000000000001417574166400176175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_omitfrom/Snakefile000066400000000000000000000023201417574166400214400ustar00rootroot00000000000000 rule all: input: "levelthree.txt", "independent.txt", expand("test{num}.final", num=[1, 2]) rule levelone: output: "levelone.txt" shell: "touch {output}" rule leveltwo_first: input: rules.levelone.output output: "leveltwo_first.txt" shell: "cp -f {input} {output}" rule leveltwo_second: input: rules.levelone.output output: "leveltwo_second.txt" shell: "cp -f {input} {output}" rule levelthree: # should not be created input: rules.leveltwo_first.output, rules.leveltwo_second.output output: "levelthree.txt" shell: "cat {input} > {output}" rule independent: # should be created in --omit-from but not --until output: "independent.txt" shell: "touch {output}" ###### Wildcard Rules ####### rule zeroth_wildcard: output: "test{num}.txt" shell: "touch {output}" rule first_wildcard: input: 'test{num}.txt' output: 'test{num}.first' shell: 'cp -f {input} {output}' rule second_wildcard: input: 'test{num}.first' output: 'test{num}.second' shell: 'cp -f {input} {output}' rule final_wildcard: input: 'test{num}.second' output: 'test{num}.final' shell: 'cp -f {input} {output}' snakemake-6.15.1/tests/test_omitfrom/expected-results/000077500000000000000000000000001417574166400231175ustar00rootroot00000000000000snakemake-6.15.1/tests/test_omitfrom/expected-results/independent.txt000066400000000000000000000000001417574166400261430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_omitfrom/expected-results/levelone.txt000066400000000000000000000000001417574166400254570ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/000077500000000000000000000000001417574166400214455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/Snakefile000066400000000000000000000017011417574166400232700ustar00rootroot00000000000000"""This test verifies that the cache directive generates the right files. There should be a total of four cached files. One for the rules a (cached via cli/ api parameter) and c (cached via directive) each. For rule b there should be two files, one for each extention generated by the multiext helper. """ shell.executable("bash") rule all: input: "test3.x.out", "test3.y.out" rule a: output: "test.out" shell: "echo test > {output}" rule b: input: "test.out" output: multiext("test2", ".out", ".out2") shell: "echo test2 > {output[0]}; echo test22 > {output[1]}" rule c: input: "test2.out", "test.out" output: "test3.{w}.out" params: a=1.5 cache: True shell: "echo test3 {params.a} > {output}" rule invalid_multi: output: "invalid1.txt", "invalid2.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_output_file_cache/cache/000077500000000000000000000000001417574166400225105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/cache/.gitkeep000066400000000000000000000000001417574166400241270ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/expected-results/000077500000000000000000000000001417574166400247455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/expected-results/cache/000077500000000000000000000000001417574166400260105ustar00rootroot000000000000006250074792e6b1aa4d9fbd820673cc22fe30525099db88b6918fa513fb003a66000066400000000000000000000000121417574166400362230ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/expected-results/cachetest3 1.5 695af872f8dc47c9acd2dd3ebec1caad623f7348dca2c38ef81df8acef58b4eb.out000066400000000000000000000000061417574166400404010ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/expected-results/cachetest2 695af872f8dc47c9acd2dd3ebec1caad623f7348dca2c38ef81df8acef58b4eb.out2000066400000000000000000000000071417574166400404640ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/expected-results/cachetest22 fa466047205bfd2dc7fe1fcbd5ec3591e3c1c5f73e8c7112493092191af2bee8000066400000000000000000000000051417574166400366670ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache/expected-results/cachetest snakemake-6.15.1/tests/test_output_file_cache/expected-results/test.out000066400000000000000000000000051417574166400264500ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_output_file_cache/expected-results/test2.out000066400000000000000000000000061417574166400265330ustar00rootroot00000000000000test2 snakemake-6.15.1/tests/test_output_file_cache/expected-results/test3.x.out000066400000000000000000000000121417574166400267770ustar00rootroot00000000000000test3 1.5 snakemake-6.15.1/tests/test_output_file_cache/expected-results/test3.y.out000066400000000000000000000000121417574166400270000ustar00rootroot00000000000000test3 1.5 snakemake-6.15.1/tests/test_output_file_cache_remote/000077500000000000000000000000001417574166400230205ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/Snakefile000066400000000000000000000006701417574166400246470ustar00rootroot00000000000000rule all: input: "test3.x.out", "test3.y.out" rule a: output: "test.out" shell: "echo test > {output}" rule b: input: "test.out" output: "test2.out" shell: "echo test2 > {output}" rule c: input: "test2.out", "test.out" output: "test3.{w}.out" params: a=1.5 shell: "echo test3 {params.a} > {output}" snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/000077500000000000000000000000001417574166400263205ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cache/000077500000000000000000000000001417574166400273635ustar00rootroot0000000000000013b6128773a87e3d14cac7fab4949705be33620855bc102f07cffdae63664ea1000066400000000000000000000000121417574166400400120ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cachetest3 1.5 6250074792e6b1aa4d9fbd820673cc22fe30525099db88b6918fa513fb003a66000066400000000000000000000000121417574166400375760ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cachetest3 1.5 695af872f8dc47c9acd2dd3ebec1caad623f7348dca2c38ef81df8acef58b4eb.out000066400000000000000000000000061417574166400417540ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cachetest2 695af872f8dc47c9acd2dd3ebec1caad623f7348dca2c38ef81df8acef58b4eb.out2000066400000000000000000000000071417574166400420370ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cachetest22 c547ff53a86ac70fecf68cf675b774bd158027def062bb65892b2f4f1662bc0e000066400000000000000000000000061417574166400402670ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cachetest2 fa466047205bfd2dc7fe1fcbd5ec3591e3c1c5f73e8c7112493092191af2bee8000066400000000000000000000000051417574166400402420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_output_file_cache_remote/expected-results/cachetest snakemake-6.15.1/tests/test_output_file_cache_remote/test.txt000066400000000000000000000000001417574166400245260ustar00rootroot00000000000000snakemake-6.15.1/tests/test_params/000077500000000000000000000000001417574166400172465ustar00rootroot00000000000000snakemake-6.15.1/tests/test_params/Snakefile000066400000000000000000000004101417574166400210650ustar00rootroot00000000000000 """ This is a test for the params syntax. """ shell.executable("bash") rule: input: "somedir/test.out" rule: params: lambda wildcards: "-f", dir="{dir}" output: "{dir}/test.out" shell: "rm -r {params.dir}; mkdir -p {params.dir}; touch {params[0]} {output}" snakemake-6.15.1/tests/test_params/expected-results/000077500000000000000000000000001417574166400225465ustar00rootroot00000000000000snakemake-6.15.1/tests/test_params/expected-results/somedir/000077500000000000000000000000001417574166400242105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_params/expected-results/somedir/test.out000066400000000000000000000000001417574166400257060ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/000077500000000000000000000000001417574166400200775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/Snakefile000066400000000000000000000131701417574166400217250ustar00rootroot00000000000000from snakemake.utils import Paramspace import pandas as pd # shold result in alpha~{alpha}/beta~{beta}/gamma~{gamma} paramspace_default = Paramspace(pd.read_csv("params.tsv", sep="\t")) # shold result in alpha~{alpha}/beta~{beta}/gamma~{gamma} paramspace_empty = Paramspace(pd.read_csv("params.tsv", sep="\t"), filename_params=[]) # shold result in alpha~{alpha}/gamma~{gamma}/beta~{beta} paramspace_one = Paramspace(pd.read_csv("params.tsv", sep="\t"), filename_params=["beta"]) # shold result in alpha~{alpha}/beta~{beta}_gamma~{gamma} paramspace_two = Paramspace(pd.read_csv("params.tsv", sep="\t"), filename_params=["beta", "gamma"]) # shold result in alpha~{alpha}_beta~{beta}_gamma~{gamma} paramspace_full = Paramspace(pd.read_csv("params.tsv", sep="\t"), filename_params=["alpha", "beta", "gamma"]) # shold result in beta~{beta}_gamma~{gamma}_alpha~{alpha} paramspace_full_reorder = Paramspace(pd.read_csv("params.tsv", sep="\t"), filename_params=["beta", "gamma", "alpha"]) # shold result in alpha:{alpha}/beta:{beta}/gamma:{gamma} paramspace_sep = Paramspace(pd.read_csv("params.tsv", sep="\t"), param_sep="_is_") # shold result in beta={beta}_gamma={gamma}_alpha={alpha} paramspace_sep_and_pattern = Paramspace( pd.read_csv("params.tsv", sep="\t"), filename_params=["beta", "gamma", "alpha"], param_sep="=", ) rule all: input: expand("results/default/plots/{params}.pdf", params=paramspace_default.instance_patterns), expand("results/empty/plots/{params}.pdf", params=paramspace_empty.instance_patterns), expand("results/one/plots/{params}.pdf", params=paramspace_one.instance_patterns), expand("results/two/plots/{params}.pdf", params=paramspace_two.instance_patterns), expand("results/full/plots/{params}.pdf", params=paramspace_full.instance_patterns), expand("results/full_reorder/plots/{params}.pdf", params=paramspace_full_reorder.instance_patterns), expand("results/sep/plots/{params}.pdf", params=paramspace_sep.instance_patterns), expand("results/sep_and_pattern/plots/{params}.pdf", params=paramspace_sep_and_pattern.instance_patterns), rule simulate_default: output: f"results/default/simulations/{paramspace_default.wildcard_pattern}.tsv" params: simulation=paramspace_default.instance script: "scripts/simulate.py" rule plot_default: input: f"results/default/simulations/{paramspace_default.wildcard_pattern}.tsv" output: f"results/default/plots/{paramspace_default.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_empty: output: f"results/empty/simulations/{paramspace_empty.wildcard_pattern}.tsv" params: simulation=paramspace_empty.instance script: "scripts/simulate.py" rule plot_empty: input: f"results/empty/simulations/{paramspace_empty.wildcard_pattern}.tsv" output: f"results/empty/plots/{paramspace_empty.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_one: output: f"results/one/simulations/{paramspace_one.wildcard_pattern}.tsv" params: simulation=paramspace_one.instance script: "scripts/simulate.py" rule plot_one: input: f"results/one/simulations/{paramspace_one.wildcard_pattern}.tsv" output: f"results/one/plots/{paramspace_one.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_two: output: f"results/two/simulations/{paramspace_two.wildcard_pattern}.tsv" params: simulation=paramspace_two.instance script: "scripts/simulate.py" rule plot_two: input: f"results/two/simulations/{paramspace_two.wildcard_pattern}.tsv" output: f"results/two/plots/{paramspace_two.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_full: output: f"results/full/simulations/{paramspace_full.wildcard_pattern}.tsv" params: simulation=paramspace_full.instance script: "scripts/simulate.py" rule plot_full: input: f"results/full/simulations/{paramspace_full.wildcard_pattern}.tsv" output: f"results/full/plots/{paramspace_full.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_full_reorder: output: f"results/full_reorder/simulations/{paramspace_full_reorder.wildcard_pattern}.tsv" params: simulation=paramspace_full_reorder.instance script: "scripts/simulate.py" rule plot_full_reorder: input: f"results/full_reorder/simulations/{paramspace_full_reorder.wildcard_pattern}.tsv" output: f"results/full_reorder/plots/{paramspace_full_reorder.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_sep: output: f"results/sep/simulations/{paramspace_sep.wildcard_pattern}.tsv" params: simulation=paramspace_sep.instance script: "scripts/simulate.py" rule plot_sep: input: f"results/sep/simulations/{paramspace_sep.wildcard_pattern}.tsv" output: f"results/sep/plots/{paramspace_sep.wildcard_pattern}.pdf" shell: "touch {output}" rule simulate_sep_and_pattern: output: f"results/sep_and_pattern/simulations/{paramspace_sep_and_pattern.wildcard_pattern}.tsv" params: simulation=paramspace_sep_and_pattern.instance script: "scripts/simulate.py" rule plot_sep_and_pattern: input: f"results/sep_and_pattern/simulations/{paramspace_sep_and_pattern.wildcard_pattern}.tsv" output: f"results/sep_and_pattern/plots/{paramspace_sep_and_pattern.wildcard_pattern}.pdf" shell: "touch {output}" snakemake-6.15.1/tests/test_paramspace/expected-results/000077500000000000000000000000001417574166400233775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/000077500000000000000000000000001417574166400251005ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/000077500000000000000000000000001417574166400265245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/000077500000000000000000000000001417574166400276655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/alpha~1.0/000077500000000000000000000000001417574166400313675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/alpha~1.0/beta~0.1/000077500000000000000000000000001417574166400327175ustar00rootroot00000000000000gamma~0.99.pdf000066400000000000000000000000001417574166400351210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/alpha~1.0/beta~0.1snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/alpha~2.0/000077500000000000000000000000001417574166400313705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/alpha~2.0/beta~0.0/000077500000000000000000000000001417574166400327175ustar00rootroot00000000000000gamma~3.9.pdf000066400000000000000000000000001417574166400350330ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/plots/alpha~2.0/beta~0.0snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/000077500000000000000000000000001417574166400310735ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/alpha~1.0/000077500000000000000000000000001417574166400325755ustar00rootroot00000000000000beta~0.1/000077500000000000000000000000001417574166400340465ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/alpha~1.0gamma~0.99.tsv000066400000000000000000000000531417574166400364020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/alpha~1.0/beta~0.1{'alpha': 1.0, 'beta': 0.1, 'gamma': 0.99} snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/alpha~2.0/000077500000000000000000000000001417574166400325765ustar00rootroot00000000000000beta~0.0/000077500000000000000000000000001417574166400340465ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/alpha~2.0gamma~3.9.tsv000066400000000000000000000000521417574166400363130ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/default/simulations/alpha~2.0/beta~0.0{'alpha': 2.0, 'beta': 0.0, 'gamma': 3.9} 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1.0, 'beta': 0.1, 'gamma': 0.99} snakemake-6.15.1/tests/test_paramspace/expected-results/results/empty/simulations/alpha~2.0/000077500000000000000000000000001417574166400323105ustar00rootroot00000000000000beta~0.0/000077500000000000000000000000001417574166400335605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/empty/simulations/alpha~2.0gamma~3.9.tsv000066400000000000000000000000521417574166400360250ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/empty/simulations/alpha~2.0/beta~0.0{'alpha': 2.0, 'beta': 0.0, 'gamma': 3.9} snakemake-6.15.1/tests/test_paramspace/expected-results/results/full/000077500000000000000000000000001417574166400260425ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full/plots/000077500000000000000000000000001417574166400272035ustar00rootroot00000000000000alpha~1.0_beta~0.1_gamma~0.99.pdf000066400000000000000000000000001417574166400345770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full/plotsalpha~2.0_beta~0.0_gamma~3.9.pdf000066400000000000000000000000001417574166400345110ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full/plotssnakemake-6.15.1/tests/test_paramspace/expected-results/results/full/simulations/000077500000000000000000000000001417574166400304115ustar00rootroot00000000000000alpha~1.0_beta~0.1_gamma~0.99.tsv000066400000000000000000000000531417574166400360600ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full/simulations{'alpha': 1.0, 'beta': 0.1, 'gamma': 0.99} alpha~2.0_beta~0.0_gamma~3.9.tsv000066400000000000000000000000521417574166400357710ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full/simulations{'alpha': 2.0, 'beta': 0.0, 'gamma': 3.9} snakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/000077500000000000000000000000001417574166400275645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/plots/000077500000000000000000000000001417574166400307255ustar00rootroot00000000000000beta~0.0_gamma~3.9_alpha~2.0.pdf000066400000000000000000000000001417574166400362330ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/plotsbeta~0.1_gamma~0.99_alpha~1.0.pdf000066400000000000000000000000001417574166400363210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/plotssnakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/simulations/000077500000000000000000000000001417574166400321335ustar00rootroot00000000000000beta~0.0_gamma~3.9_alpha~2.0.tsv000066400000000000000000000000521417574166400375130ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/simulations{'beta': 0.0, 'gamma': 3.9, 'alpha': 2.0} beta~0.1_gamma~0.99_alpha~1.0.tsv000066400000000000000000000000531417574166400376020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/full_reorder/simulations{'beta': 0.1, 'gamma': 0.99, 'alpha': 1.0} snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/000077500000000000000000000000001417574166400256615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/000077500000000000000000000000001417574166400270225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/alpha~1.0/000077500000000000000000000000001417574166400305245ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/alpha~1.0/gamma~0.99/000077500000000000000000000000001417574166400323245ustar00rootroot00000000000000beta~0.1.pdf000066400000000000000000000000001417574166400342560ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/alpha~1.0/gamma~0.99snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/alpha~2.0/000077500000000000000000000000001417574166400305255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/alpha~2.0/gamma~3.9/000077500000000000000000000000001417574166400322375ustar00rootroot00000000000000beta~0.0.pdf000066400000000000000000000000001417574166400341700ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/plots/alpha~2.0/gamma~3.9snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/000077500000000000000000000000001417574166400302305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/alpha~1.0/000077500000000000000000000000001417574166400317325ustar00rootroot00000000000000gamma~0.99/000077500000000000000000000000001417574166400334535ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/alpha~1.0beta~0.1.tsv000066400000000000000000000000531417574166400355370ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/alpha~1.0/gamma~0.99{'alpha': 1.0, 'gamma': 0.99, 'beta': 0.1} snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/alpha~2.0/000077500000000000000000000000001417574166400317335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/alpha~2.0/gamma~3.9/000077500000000000000000000000001417574166400334455ustar00rootroot00000000000000beta~0.0.tsv000066400000000000000000000000521417574166400354500ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/one/simulations/alpha~2.0/gamma~3.9{'alpha': 2.0, 'gamma': 3.9, 'beta': 0.0} snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/000077500000000000000000000000001417574166400256675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/000077500000000000000000000000001417574166400270305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/alpha_is_1.0/000077500000000000000000000000001417574166400311665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/alpha_is_1.0/beta_is_0.1/000077500000000000000000000000001417574166400331525ustar00rootroot00000000000000gamma_is_0.99.pdf000066400000000000000000000000001417574166400360100ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/alpha_is_1.0/beta_is_0.1snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/alpha_is_2.0/000077500000000000000000000000001417574166400311675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/alpha_is_2.0/beta_is_0.0/000077500000000000000000000000001417574166400331525ustar00rootroot00000000000000gamma_is_3.9.pdf000066400000000000000000000000001417574166400357220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/plots/alpha_is_2.0/beta_is_0.0snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/000077500000000000000000000000001417574166400302365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/alpha_is_1.0/000077500000000000000000000000001417574166400323745ustar00rootroot00000000000000beta_is_0.1/000077500000000000000000000000001417574166400343015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/alpha_is_1.0gamma_is_0.99.tsv000066400000000000000000000000531417574166400372710ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/alpha_is_1.0/beta_is_0.1{'alpha': 1.0, 'beta': 0.1, 'gamma': 0.99} snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/alpha_is_2.0/000077500000000000000000000000001417574166400323755ustar00rootroot00000000000000beta_is_0.0/000077500000000000000000000000001417574166400343015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/alpha_is_2.0gamma_is_3.9.tsv000066400000000000000000000000521417574166400372020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep/simulations/alpha_is_2.0/beta_is_0.0{'alpha': 2.0, 'beta': 0.0, 'gamma': 3.9} snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/000077500000000000000000000000001417574166400302465ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/plots/000077500000000000000000000000001417574166400314075ustar00rootroot00000000000000beta=0.0_gamma=3.9_alpha=2.0.pdf000066400000000000000000000000001417574166400364120ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/plotsbeta=0.1_gamma=0.99_alpha=1.0.pdf000066400000000000000000000000001417574166400365000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/plotssnakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/simulations/000077500000000000000000000000001417574166400326155ustar00rootroot00000000000000beta=0.0_gamma=3.9_alpha=2.0.tsv000066400000000000000000000000521417574166400376720ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/simulations{'beta': 0.0, 'gamma': 3.9, 'alpha': 2.0} beta=0.1_gamma=0.99_alpha=1.0.tsv000066400000000000000000000000531417574166400377610ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/sep_and_pattern/simulations{'beta': 0.1, 'gamma': 0.99, 'alpha': 1.0} snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/000077500000000000000000000000001417574166400257115ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/plots/000077500000000000000000000000001417574166400270525ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/plots/alpha~1.0/000077500000000000000000000000001417574166400305545ustar00rootroot00000000000000beta~0.1_gamma~0.99.pdf000066400000000000000000000000001417574166400343660ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/plots/alpha~1.0snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/plots/alpha~2.0/000077500000000000000000000000001417574166400305555ustar00rootroot00000000000000beta~0.0_gamma~3.9.pdf000066400000000000000000000000001417574166400343000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/plots/alpha~2.0snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/simulations/000077500000000000000000000000001417574166400302605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/simulations/alpha~1.0/000077500000000000000000000000001417574166400317625ustar00rootroot00000000000000beta~0.1_gamma~0.99.tsv000066400000000000000000000000531417574166400356470ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/simulations/alpha~1.0{'alpha': 1.0, 'beta': 0.1, 'gamma': 0.99} snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/simulations/alpha~2.0/000077500000000000000000000000001417574166400317635ustar00rootroot00000000000000beta~0.0_gamma~3.9.tsv000066400000000000000000000000521417574166400355600ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/expected-results/results/two/simulations/alpha~2.0{'alpha': 2.0, 'beta': 0.0, 'gamma': 3.9} snakemake-6.15.1/tests/test_paramspace/params.tsv000066400000000000000000000000521417574166400221150ustar00rootroot00000000000000alpha beta gamma 1.0 0.1 0.99 2.0 0.0 3.9 snakemake-6.15.1/tests/test_paramspace/scripts/000077500000000000000000000000001417574166400215665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_paramspace/scripts/simulate.py000066400000000000000000000001341417574166400237610ustar00rootroot00000000000000with open(snakemake.output[0], "w") as out: print(snakemake.params.simulation, file=out)snakemake-6.15.1/tests/test_parser/000077500000000000000000000000001417574166400172575ustar00rootroot00000000000000snakemake-6.15.1/tests/test_parser/Snakefile000066400000000000000000000001721417574166400211030ustar00rootroot00000000000000 class Test: def __init__(self): self.include = "test.out" rule: output: Test().include shell: "touch {output}" snakemake-6.15.1/tests/test_parser/expected-results/000077500000000000000000000000001417574166400225575ustar00rootroot00000000000000snakemake-6.15.1/tests/test_parser/expected-results/test.out000066400000000000000000000000001417574166400242550ustar00rootroot00000000000000snakemake-6.15.1/tests/test_parser/test.out000066400000000000000000000000001417574166400207550ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib/000077500000000000000000000000001417574166400174065ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib/Snakefile000066400000000000000000000030761417574166400212400ustar00rootroot00000000000000from pathlib import Path # Untested: # ancient # subworkflows # directory OUTDIR = Path("outdir") existing_file = Path("existing_file.txt") rule all: input: OUTDIR / "output_existing", OUTDIR / "output_temp", OUTDIR / "output_protected", OUTDIR / "output_other_rule_output_existing", OUTDIR / "function_unpacking/output_function_unpacking", rule input_Path: input: Path("{sample}_file.txt") output: OUTDIR / "output_{sample}" log: OUTDIR / "log_{sample}" shell: """ cat {input} > {output} echo log {wildcards.sample} > {log} """ rule input_Path_output_temp: input: existing_file output: temp(OUTDIR / "output_temp") log: OUTDIR / "log_temp" shell: """ cat {input} > {output} echo log temp > {log} """ rule input_Path_output_protected: input: existing_file output: protected(OUTDIR / "output_protected") log: OUTDIR / "log_protected" shell: """ cat {input} > {output} echo log protected > {log} """ rule input_other_rule_output: input: rules.input_Path.output output: OUTDIR / "output_other_rule_output_{sample}" log: OUTDIR / "log_other_rule_output_{sample}" shell: """ cat {input} > {output} echo log protected > {log} """ def myfunc1(): return [existing_file] def myfunc2(): return {'existing_file2': existing_file} rule input_function_unpacking: input: *myfunc1(), **myfunc2(), output: OUTDIR / "function_unpacking/output_function_unpacking" log: OUTDIR / "log_function_unpacking" shell: """ echo {input[0]} > {output} echo {input.existing_file2} >> {output} echo log function unpacking > {log} """ snakemake-6.15.1/tests/test_pathlib/existing_file.txt000066400000000000000000000000111417574166400227700ustar00rootroot00000000000000I exist! snakemake-6.15.1/tests/test_pathlib/expected-results/000077500000000000000000000000001417574166400227065ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/000077500000000000000000000000001417574166400242145ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/function_unpacking/000077500000000000000000000000001417574166400301005ustar00rootroot00000000000000output_function_unpacking000066400000000000000000000000441417574166400352460ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/function_unpackingexisting_file.txt existing_file.txt snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/log_existing000066400000000000000000000000151417574166400266260ustar00rootroot00000000000000log existing snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/log_function_unpacking000066400000000000000000000000271417574166400306630ustar00rootroot00000000000000log function unpacking snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/log_other_rule_output_existing000066400000000000000000000000161417574166400324770ustar00rootroot00000000000000log protected snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/log_protected000066400000000000000000000000161417574166400267660ustar00rootroot00000000000000log protected snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/log_temp000066400000000000000000000000111417574166400257350ustar00rootroot00000000000000log temp snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/output_existing000066400000000000000000000000111417574166400274010ustar00rootroot00000000000000I exist! snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/output_other_rule_output_existing000066400000000000000000000000111417574166400332510ustar00rootroot00000000000000I exist! snakemake-6.15.1/tests/test_pathlib/expected-results/outdir/output_protected000066400000000000000000000000111417574166400275400ustar00rootroot00000000000000I exist! snakemake-6.15.1/tests/test_pathlib_missing_file/000077500000000000000000000000001417574166400221365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib_missing_file/Snakefile000066400000000000000000000004541417574166400237650ustar00rootroot00000000000000from pathlib import Path # Things to test: # ancient # subworkflows output = Path("output") nonexistent_file = Path("nonexistent_file.txt") rule all: input: output rule input_nonexistent_Path: input: nonexistent_file output: output shell: """ echo "This should fail" > {output} """ snakemake-6.15.1/tests/test_pathlib_missing_file/expected-results/000077500000000000000000000000001417574166400254365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pathlib_missing_file/expected-results/.gitkeep000066400000000000000000000000001417574166400270550ustar00rootroot00000000000000snakemake-6.15.1/tests/test_peppy/000077500000000000000000000000001417574166400171205ustar00rootroot00000000000000snakemake-6.15.1/tests/test_peppy/pep/000077500000000000000000000000001417574166400177045ustar00rootroot00000000000000snakemake-6.15.1/tests/test_peppy/pep/config.yaml000066400000000000000000000000641417574166400220350ustar00rootroot00000000000000pep_version: "2.0.0" sample_table: sample_table.csv snakemake-6.15.1/tests/test_peppy/pep/sample_table.csv000066400000000000000000000000441417574166400230470ustar00rootroot00000000000000sample_name,protocol a,test b,test2 snakemake-6.15.1/tests/test_peppy/workflow/000077500000000000000000000000001417574166400207725ustar00rootroot00000000000000snakemake-6.15.1/tests/test_peppy/workflow/Snakefile000066400000000000000000000003461417574166400226210ustar00rootroot00000000000000pepfile: "pep/config.yaml" pepschema: "schemas/pep.yaml" rule all: input: expand("{sample}.txt", sample=pep.sample_table["sample_name"]) rule a: output: "{sample}.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_peppy/workflow/schemas/000077500000000000000000000000001417574166400224155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_peppy/workflow/schemas/pep.yaml000066400000000000000000000033561417574166400240740ustar00rootroot00000000000000description: "Schema for a minimal PEP" version: "2.0.0" properties: name: type: string pattern: "^\\S*$" description: "Project name with no whitespace" config: pep_version: description: "Version of the PEP Schema this PEP follows" type: string sample_table: type: string description: "Path to the sample annotation table with one row per sample" subsample_table: type: string description: "Path to the subsample annotation table with one row per subsample and sample_name attribute matching an entry in the sample table" sample_modifiers: type: object properties: append: type: object duplicate: type: object imply: type: array items: type: object properties: if: type: object then: type: object derive: type: object properties: attributes: type: array items: type: string sources: type: object project_modifiers: type: object properties: amend: description: "Object overwriting original project attributes" type: object import: description: "List of external PEP project config files to import" type: array items: type: string required: - pep_version samples: type: array items: type: object properties: sample_name: type: string pattern: "^\\S*$" description: "Unique name of the sample with no whitespace" required: - sample_name required: - samples snakemake-6.15.1/tests/test_persistent_dict/000077500000000000000000000000001417574166400211665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_persistent_dict/Snakefile000066400000000000000000000010171417574166400230110ustar00rootroot00000000000000from pytools.persistent_dict import PersistentDict storage = PersistentDict("mystorage") storage.store("var1", 100) rule all: input: expand("test.{i}.out", i=range(3)) rule: input: "test.in" output: "test.{i}.out" run: assert storage.fetch("var1") == 100 with open(output[0], "w") as out: v = storage.fetch("var2") assert v == 1 print(v, file=out) rule: output: temp("test.in") # mark output as temp, since var1 has to be stored in each run run: storage.store("var2", 1) shell("touch {output}") snakemake-6.15.1/tests/test_persistent_dict/expected-results/000077500000000000000000000000001417574166400244665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_persistent_dict/expected-results/.gitignore000066400000000000000000000000001417574166400264440ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes/000077500000000000000000000000001417574166400171035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes/Snakefile000066400000000000000000000005521417574166400207310ustar00rootroot00000000000000shell.executable("bash") rule all: input: expand("test.{i}.out", i=range(2)) rule a: output: pipe("test.{i}.txt") shell: "for i in {{0..2}}; do echo {wildcards.i} >> {output}; done" rule b: input: "test.{i}.txt" output: "test.{i}.out" shell: "grep {wildcards.i} < {input} > {output}" snakemake-6.15.1/tests/test_pipes/expected-results/000077500000000000000000000000001417574166400224035ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes/expected-results/test.0.out000066400000000000000000000000061417574166400242450ustar00rootroot000000000000000 0 0 snakemake-6.15.1/tests/test_pipes/expected-results/test.1.out000066400000000000000000000000061417574166400242460ustar00rootroot000000000000001 1 1 snakemake-6.15.1/tests/test_pipes2/000077500000000000000000000000001417574166400171655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes2/Snakefile000066400000000000000000000005031417574166400210070ustar00rootroot00000000000000shell.executable("bash") rule all: input: "foo.txt" rule one: output: pipe("pipe.txt") shell: "echo test > {output}" rule two: input: pipe("pipe.txt") output: "foo.txt" shell: """ cat {input} > /dev/null sleep 10 touch {output} """ snakemake-6.15.1/tests/test_pipes2/expected-results/000077500000000000000000000000001417574166400224655ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes2/expected-results/foo.txt000066400000000000000000000000001417574166400237770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes_fail/000077500000000000000000000000001417574166400200765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes_fail/Snakefile000066400000000000000000000006041417574166400217220ustar00rootroot00000000000000rule all: input: expand("test.{i}.out", i=range(2)) rule a: output: pipe("test.{i}.txt") shell: # this job fails because of a syntax error "for i in {{0..2}}; ddo echo {wildcards.i} >> {output}; done" rule b: input: "test.{i}.txt" output: "test.{i}.out" shell: "grep {wildcards.i} < {input} > {output}" snakemake-6.15.1/tests/test_pipes_fail/expected-results/000077500000000000000000000000001417574166400233765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes_fail/expected-results/.gitignore000066400000000000000000000000001417574166400253540ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes_multiple/000077500000000000000000000000001417574166400210165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes_multiple/Snakefile000066400000000000000000000006631417574166400226470ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test.out" rule a: output: pipe("testa.{i}.txt") shell: "echo {wildcards.i} > {output}" rule b: input: rules.a.output output: pipe("testb.{i}.txt") shell: "cat {input} > {output}" rule c: input: expand(rules.b.output, i=range(2)) output: "test.out" shell: "cat {input} > {output}" snakemake-6.15.1/tests/test_pipes_multiple/expected-results/000077500000000000000000000000001417574166400243165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_pipes_multiple/expected-results/test.out000066400000000000000000000000041417574166400260200ustar00rootroot000000000000000 1 snakemake-6.15.1/tests/test_profile/000077500000000000000000000000001417574166400174235ustar00rootroot00000000000000snakemake-6.15.1/tests/test_profile/Snakefile000066400000000000000000000001331417574166400212440ustar00rootroot00000000000000rule: shell: "python -m snakemake --cores 1 --profile . -s Snakefile.internal" snakemake-6.15.1/tests/test_profile/Snakefile.internal000066400000000000000000000001161417574166400230600ustar00rootroot00000000000000rule a: output: config["out"] shell: "touch {output}" snakemake-6.15.1/tests/test_profile/config.yaml000066400000000000000000000000561417574166400215550ustar00rootroot00000000000000configfile: "workflow-config.yaml" cores: all snakemake-6.15.1/tests/test_profile/expected-results/000077500000000000000000000000001417574166400227235ustar00rootroot00000000000000snakemake-6.15.1/tests/test_profile/expected-results/test.out000066400000000000000000000000001417574166400244210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_profile/workflow-config.yaml000066400000000000000000000000201417574166400234140ustar00rootroot00000000000000out: "test.out" snakemake-6.15.1/tests/test_protected_symlink_output/000077500000000000000000000000001417574166400231425ustar00rootroot00000000000000snakemake-6.15.1/tests/test_protected_symlink_output/Snakefile000066400000000000000000000020501417574166400247630ustar00rootroot00000000000000# vim: ft=python """Snakemake will not delete write-protected files. But a symlink to a write-protected file is another matter. We should be able to overwrite those. """ """Description of the test: protected1 and protected2 are non-writeable files outlink is a symlink to protected1 after the main rule runs, outlink should point to protected2, and outfile should contain "contents2". """ import os import time # Set up the files just once if not os.path.exists("outlink"): shell("echo contents1 > protected1") shell("echo contents2 > protected2") shell("ln -s protected1 outlink") shell("chmod a-w protected1 protected2") # Print the result for debugging shell("ls -lR > /dev/stderr") rule main: output: "outfile", "outlink" run: # outlink should be gone but not protected1 or protected2 shell("test ! -e outlink") shell("test -e protected1 && test -e protected2") # Re-point the symlink shell("ln -s protected2 outlink") shell("cat outlink > outfile") snakemake-6.15.1/tests/test_protected_symlink_output/expected-results/000077500000000000000000000000001417574166400264425ustar00rootroot00000000000000snakemake-6.15.1/tests/test_protected_symlink_output/expected-results/outfile000066400000000000000000000000121417574166400300250ustar00rootroot00000000000000contents2 snakemake-6.15.1/tests/test_protected_symlink_output/expected-results/outlink000066400000000000000000000000121417574166400300430ustar00rootroot00000000000000contents2 snakemake-6.15.1/tests/test_r_wrapper/000077500000000000000000000000001417574166400177645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_r_wrapper/Snakefile000066400000000000000000000001421417574166400216050ustar00rootroot00000000000000rule r_wrapper: output: "deleteme" wrapper: "file://tests/test_r_wrapper" snakemake-6.15.1/tests/test_r_wrapper/wrapper.R000066400000000000000000000001401417574166400215620ustar00rootroot00000000000000outfile = snakemake@output[[1]] x <- data.frame() write.table(x, file=outfile, col.names=FALSE) snakemake-6.15.1/tests/test_remote/000077500000000000000000000000001417574166400172565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote/Snakefile000066400000000000000000000062641417574166400211120ustar00rootroot00000000000000#import re, os, sys shell.executable("bash") from snakemake.remote.S3Mocked import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider() # remote dynamic file test # This makes use of a special provider that mocks up S3 using the moto # library so that boto calls hit local "buckets" rule all: input: # only keeping the file so we can copy it out to the cwd S3.remote("test-remote-bucket/out.txt", keep_local=True) run: shell("mv test-remote-bucket/out.txt ./") rule split: input: S3.remote('test-remote-bucket/test.txt') output: S3.remote(dynamic('test-remote-bucket/prefix{split_id}.txt')) run: shell('split -l 2 {input} test-remote-bucket/prefix') for f in os.listdir(os.getcwd()+"/test-remote-bucket"): if re.search('prefix[a-z][a-z]', f): os.rename("test-remote-bucket/"+f, "test-remote-bucket/"+f + '.txt') rule cut: input: S3.remote('test-remote-bucket/prefix{split_id,[a-z][a-z]}.txt') output: S3.remote('test-remote-bucket/{split_id}_cut.txt') shell: 'cut -f 1,2 {input} > {output}' rule merge: input: S3.remote(dynamic('test-remote-bucket/{split_id}_cut.txt')) output: S3.remote('test-remote-bucket/out.txt'), run: shell('echo {input}; cat {input} > {output}') # after we finish, we need to remove the pickle storing # the local moto "buckets" so we are starting fresh # next time this test is run. This file is created by # the moto wrapper defined in S3Mocked.py onsuccess: shell("rm ./motoState.p") onerror: shell("rm ./motoState.p") # or if you prefer to not instantiate a RemoteProvider object, and rely on the module # import S3Mocked as S3Mocked # # remote dynamic file test # # This makes use of a special provider that mocks up S3 using the moto # # library so that boto calls hit local "buckets" # rule all: # input: # # only keeping the file so we can copy it out to the cwd # remote("test-remote-bucket/out.txt", keep_local=True, provider=S3Mocked, additional_kwargs={}) # run: # shell("mv test-remote-bucket/out.txt ./") # rule split: # input: remote('test-remote-bucket/test.txt', keep_local=False, provider=S3Mocked, additional_kwargs={}) # output: remote(dynamic('test-remote-bucket/prefix{split_id}.txt'), provider=S3Mocked, additional_kwargs={}) # run: # shell('split -l 2 {input} test-remote-bucket/prefix') # for f in os.listdir(os.getcwd()+"/test-remote-bucket"): # if re.search('prefix[a-z][a-z]', f): # os.rename("test-remote-bucket/"+f, "test-remote-bucket/"+f + '.txt') # rule cut: # input: remote('test-remote-bucket/prefix{split_id,[a-z][a-z]}.txt', provider=S3Mocked, additional_kwargs={}) # output: # remote('test-remote-bucket/{split_id}_cut.txt', provider=S3Mocked, additional_kwargs={}) # shell: 'cut -f 1,2 {input} > {output}' # rule merge: # input: # remote(dynamic('test-remote-bucket/{split_id}_cut.txt'), provider=S3Mocked, additional_kwargs={}) # output: # remote('test-remote-bucket/out.txt', provider=S3Mocked, additional_kwargs={}), # run: # shell('echo {input}; cat {input} > {output}') snakemake-6.15.1/tests/test_remote/expected-results/000077500000000000000000000000001417574166400225565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote/expected-results/out.txt000066400000000000000000000001101417574166400241160ustar00rootroot000000000000000 1 2 0 1 2 0 1 2 0 1 2 snakemake-6.15.1/tests/test_remote/test.txt000066400000000000000000000001101417574166400207660ustar00rootroot000000000000000 1 2 0 1 2 0 1 2 0 1 2 snakemake-6.15.1/tests/test_remote_azure/000077500000000000000000000000001417574166400204645ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_azure/README.md000066400000000000000000000010451417574166400217430ustar00rootroot00000000000000# Instruction for testing of Azure Storage integration In order to perform this test, you need an Azure Storage account with read/write access. Both the storage account and associated key or SAS token (without leading questionmark) need to be passed to snakemake at runtime, by exporting environment variables `AZURE_ACCOUNT` and either `AZURE_KEY` or `SAS_TOKEN`. Furthermore, in the storage account, a container "snakemake-test" needs to be created prior to running the test. And lastly, a local file called `test.txt.gz` needs to be created. snakemake-6.15.1/tests/test_remote_azure/Snakefile000066400000000000000000000021561417574166400223140ustar00rootroot00000000000000import os import fnmatch import snakemake from snakemake.exceptions import MissingInputException from snakemake.remote.AzBlob import RemoteProvider as AzureRemoteProvider # setup Azure Storage for remote access # for testing, set AZ_AZURE_ACCOUNT and AZ_ACCOUNT_KEY or AZ_SAS_TOKEN as env vars to CircleCI AS = AzureRemoteProvider() rule upload_to_azure_storage: input: "test.txt.gz" output: AS.remote("snakemake-test/data_upload/test.txt.gz") run: shell("cp {input} {output}") rule download_from_azure_storage: input: AS.remote("snakemake-test/data_upload/test.txt.gz") output: "test.txt.gz" run: shell("cp {input} {output}") rule test_globbing: input: AS.remote("snakemake-test/data_upload/test.txt.gz") output: touch("globbing.done") run: basenames, = AS.glob_wildcards("snakemake-test/data_upload/{base}.txt.gz") assert "test" in basenames rule test_download: input: "globbing.done", "test.txt.gz" rule test_upload: input: AS.remote("snakemake-test/data_upload/test.txt.gz") snakemake-6.15.1/tests/test_remote_gs/000077500000000000000000000000001417574166400177475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_gs/Snakefile000066400000000000000000000010431417574166400215710ustar00rootroot00000000000000from snakemake.remote import GS import google.auth try: GS = GS.RemoteProvider() rule copy: input: GS.remote("gcp-public-data-landsat/LC08/01/001/003/LC08_L1GT_001003_20170430_20170501_01_RT/LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt") output: "landsat-data.txt" shell: "cp {input} {output}" except google.auth.exceptions.DefaultCredentialsError: # ignore the test if not authenticated print("skipping test_remote_gs because we are not authenticated with gcloud") snakemake-6.15.1/tests/test_remote_gs/expected-results/000077500000000000000000000000001417574166400232475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_gs/expected-results/landsat-data.txt000066400000000000000000000203761417574166400263550ustar00rootroot00000000000000GROUP = L1_METADATA_FILE GROUP = METADATA_FILE_INFO ORIGIN = "Image courtesy of the U.S. Geological Survey" REQUEST_ID = "0501705013406_00001" LANDSAT_SCENE_ID = "LC80010032017120LGN00" LANDSAT_PRODUCT_ID = "LC08_L1GT_001003_20170430_20170501_01_RT" COLLECTION_NUMBER = 01 FILE_DATE = 2017-05-01T16:00:24Z STATION_ID = "LGN" PROCESSING_SOFTWARE_VERSION = "LPGS_2.7.0" END_GROUP = METADATA_FILE_INFO GROUP = PRODUCT_METADATA DATA_TYPE = "L1GT" COLLECTION_CATEGORY = "RT" ELEVATION_SOURCE = "GLS2000" OUTPUT_FORMAT = "GEOTIFF" SPACECRAFT_ID = "LANDSAT_8" SENSOR_ID = "OLI_TIRS" WRS_PATH = 1 WRS_ROW = 3 NADIR_OFFNADIR = "NADIR" TARGET_WRS_PATH = 1 TARGET_WRS_ROW = 3 DATE_ACQUIRED = 2017-04-30 SCENE_CENTER_TIME = "14:07:16.5180850Z" CORNER_UL_LAT_PRODUCT = 80.21528 CORNER_UL_LON_PRODUCT = -17.96312 CORNER_UR_LAT_PRODUCT = 80.28798 CORNER_UR_LON_PRODUCT = -3.45901 CORNER_LL_LAT_PRODUCT = 77.79053 CORNER_LL_LON_PRODUCT = -16.19251 CORNER_LR_LAT_PRODUCT = 77.84841 CORNER_LR_LON_PRODUCT = -4.56164 CORNER_UL_PROJECTION_X_PRODUCT = 330600.000 CORNER_UL_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_UR_PROJECTION_X_PRODUCT = 604200.000 CORNER_UR_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_LL_PROJECTION_X_PRODUCT = 330600.000 CORNER_LL_PROJECTION_Y_PRODUCT = 8645400.000 CORNER_LR_PROJECTION_X_PRODUCT = 604200.000 CORNER_LR_PROJECTION_Y_PRODUCT = 8645400.000 PANCHROMATIC_LINES = 18221 PANCHROMATIC_SAMPLES = 18241 REFLECTIVE_LINES = 9111 REFLECTIVE_SAMPLES = 9121 THERMAL_LINES = 9111 THERMAL_SAMPLES = 9121 FILE_NAME_BAND_1 = "LC08_L1GT_001003_20170430_20170501_01_RT_B1.TIF" FILE_NAME_BAND_2 = "LC08_L1GT_001003_20170430_20170501_01_RT_B2.TIF" FILE_NAME_BAND_3 = "LC08_L1GT_001003_20170430_20170501_01_RT_B3.TIF" FILE_NAME_BAND_4 = "LC08_L1GT_001003_20170430_20170501_01_RT_B4.TIF" FILE_NAME_BAND_5 = "LC08_L1GT_001003_20170430_20170501_01_RT_B5.TIF" FILE_NAME_BAND_6 = "LC08_L1GT_001003_20170430_20170501_01_RT_B6.TIF" FILE_NAME_BAND_7 = "LC08_L1GT_001003_20170430_20170501_01_RT_B7.TIF" FILE_NAME_BAND_8 = "LC08_L1GT_001003_20170430_20170501_01_RT_B8.TIF" FILE_NAME_BAND_9 = "LC08_L1GT_001003_20170430_20170501_01_RT_B9.TIF" FILE_NAME_BAND_10 = "LC08_L1GT_001003_20170430_20170501_01_RT_B10.TIF" FILE_NAME_BAND_11 = "LC08_L1GT_001003_20170430_20170501_01_RT_B11.TIF" FILE_NAME_BAND_QUALITY = "LC08_L1GT_001003_20170430_20170501_01_RT_BQA.TIF" ANGLE_COEFFICIENT_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_ANG.txt" METADATA_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt" CPF_NAME = "LC08CPF_20170401_20170630_01.02" BPF_NAME_OLI = "LO8BPF20170430140614_20170430144404.01" BPF_NAME_TIRS = "LT8BPF20170426235522_20170427000359.01" RLUT_FILE_NAME = "LC08RLUT_20150303_20431231_01_12.h5" END_GROUP = PRODUCT_METADATA GROUP = IMAGE_ATTRIBUTES CLOUD_COVER = 24.32 CLOUD_COVER_LAND = -1 IMAGE_QUALITY_OLI = 9 IMAGE_QUALITY_TIRS = 7 TIRS_SSM_MODEL = "PRELIMINARY" TIRS_SSM_POSITION_STATUS = "ESTIMATED" TIRS_STRAY_LIGHT_CORRECTION_SOURCE = "TIRS" ROLL_ANGLE = -0.001 SUN_AZIMUTH = -156.47580997 SUN_ELEVATION = 24.99099132 EARTH_SUN_DISTANCE = 1.0074392 SATURATION_BAND_1 = "N" SATURATION_BAND_2 = "N" SATURATION_BAND_3 = "N" SATURATION_BAND_4 = "N" SATURATION_BAND_5 = "N" SATURATION_BAND_6 = "N" SATURATION_BAND_7 = "N" SATURATION_BAND_8 = "N" SATURATION_BAND_9 = "N" TRUNCATION_OLI = "UPPER" END_GROUP = IMAGE_ATTRIBUTES GROUP = MIN_MAX_RADIANCE RADIANCE_MAXIMUM_BAND_1 = 748.87909 RADIANCE_MINIMUM_BAND_1 = -61.84268 RADIANCE_MAXIMUM_BAND_2 = 766.86133 RADIANCE_MINIMUM_BAND_2 = -63.32766 RADIANCE_MAXIMUM_BAND_3 = 706.65613 RADIANCE_MINIMUM_BAND_3 = -58.35589 RADIANCE_MAXIMUM_BAND_4 = 595.89227 RADIANCE_MINIMUM_BAND_4 = -49.20898 RADIANCE_MAXIMUM_BAND_5 = 364.65634 RADIANCE_MINIMUM_BAND_5 = -30.11344 RADIANCE_MAXIMUM_BAND_6 = 90.68671 RADIANCE_MINIMUM_BAND_6 = -7.48894 RADIANCE_MAXIMUM_BAND_7 = 30.56628 RADIANCE_MINIMUM_BAND_7 = -2.52417 RADIANCE_MAXIMUM_BAND_8 = 674.38605 RADIANCE_MINIMUM_BAND_8 = -55.69102 RADIANCE_MAXIMUM_BAND_9 = 142.51598 RADIANCE_MINIMUM_BAND_9 = -11.76902 RADIANCE_MAXIMUM_BAND_10 = 22.00180 RADIANCE_MINIMUM_BAND_10 = 0.10033 RADIANCE_MAXIMUM_BAND_11 = 22.00180 RADIANCE_MINIMUM_BAND_11 = 0.10033 END_GROUP = MIN_MAX_RADIANCE GROUP = MIN_MAX_REFLECTANCE REFLECTANCE_MAXIMUM_BAND_1 = 1.210700 REFLECTANCE_MINIMUM_BAND_1 = -0.099980 REFLECTANCE_MAXIMUM_BAND_2 = 1.210700 REFLECTANCE_MINIMUM_BAND_2 = -0.099980 REFLECTANCE_MAXIMUM_BAND_3 = 1.210700 REFLECTANCE_MINIMUM_BAND_3 = -0.099980 REFLECTANCE_MAXIMUM_BAND_4 = 1.210700 REFLECTANCE_MINIMUM_BAND_4 = -0.099980 REFLECTANCE_MAXIMUM_BAND_5 = 1.210700 REFLECTANCE_MINIMUM_BAND_5 = -0.099980 REFLECTANCE_MAXIMUM_BAND_6 = 1.210700 REFLECTANCE_MINIMUM_BAND_6 = -0.099980 REFLECTANCE_MAXIMUM_BAND_7 = 1.210700 REFLECTANCE_MINIMUM_BAND_7 = -0.099980 REFLECTANCE_MAXIMUM_BAND_8 = 1.210700 REFLECTANCE_MINIMUM_BAND_8 = -0.099980 REFLECTANCE_MAXIMUM_BAND_9 = 1.210700 REFLECTANCE_MINIMUM_BAND_9 = -0.099980 END_GROUP = MIN_MAX_REFLECTANCE GROUP = MIN_MAX_PIXEL_VALUE QUANTIZE_CAL_MAX_BAND_1 = 65535 QUANTIZE_CAL_MIN_BAND_1 = 1 QUANTIZE_CAL_MAX_BAND_2 = 65535 QUANTIZE_CAL_MIN_BAND_2 = 1 QUANTIZE_CAL_MAX_BAND_3 = 65535 QUANTIZE_CAL_MIN_BAND_3 = 1 QUANTIZE_CAL_MAX_BAND_4 = 65535 QUANTIZE_CAL_MIN_BAND_4 = 1 QUANTIZE_CAL_MAX_BAND_5 = 65535 QUANTIZE_CAL_MIN_BAND_5 = 1 QUANTIZE_CAL_MAX_BAND_6 = 65535 QUANTIZE_CAL_MIN_BAND_6 = 1 QUANTIZE_CAL_MAX_BAND_7 = 65535 QUANTIZE_CAL_MIN_BAND_7 = 1 QUANTIZE_CAL_MAX_BAND_8 = 65535 QUANTIZE_CAL_MIN_BAND_8 = 1 QUANTIZE_CAL_MAX_BAND_9 = 65535 QUANTIZE_CAL_MIN_BAND_9 = 1 QUANTIZE_CAL_MAX_BAND_10 = 65535 QUANTIZE_CAL_MIN_BAND_10 = 1 QUANTIZE_CAL_MAX_BAND_11 = 65535 QUANTIZE_CAL_MIN_BAND_11 = 1 END_GROUP = MIN_MAX_PIXEL_VALUE GROUP = RADIOMETRIC_RESCALING RADIANCE_MULT_BAND_1 = 1.2371E-02 RADIANCE_MULT_BAND_2 = 1.2668E-02 RADIANCE_MULT_BAND_3 = 1.1674E-02 RADIANCE_MULT_BAND_4 = 9.8438E-03 RADIANCE_MULT_BAND_5 = 6.0239E-03 RADIANCE_MULT_BAND_6 = 1.4981E-03 RADIANCE_MULT_BAND_7 = 5.0494E-04 RADIANCE_MULT_BAND_8 = 1.1140E-02 RADIANCE_MULT_BAND_9 = 2.3543E-03 RADIANCE_MULT_BAND_10 = 3.3420E-04 RADIANCE_MULT_BAND_11 = 3.3420E-04 RADIANCE_ADD_BAND_1 = -61.85505 RADIANCE_ADD_BAND_2 = -63.34032 RADIANCE_ADD_BAND_3 = -58.36757 RADIANCE_ADD_BAND_4 = -49.21882 RADIANCE_ADD_BAND_5 = -30.11946 RADIANCE_ADD_BAND_6 = -7.49044 RADIANCE_ADD_BAND_7 = -2.52468 RADIANCE_ADD_BAND_8 = -55.70216 RADIANCE_ADD_BAND_9 = -11.77137 RADIANCE_ADD_BAND_10 = 0.10000 RADIANCE_ADD_BAND_11 = 0.10000 REFLECTANCE_MULT_BAND_1 = 2.0000E-05 REFLECTANCE_MULT_BAND_2 = 2.0000E-05 REFLECTANCE_MULT_BAND_3 = 2.0000E-05 REFLECTANCE_MULT_BAND_4 = 2.0000E-05 REFLECTANCE_MULT_BAND_5 = 2.0000E-05 REFLECTANCE_MULT_BAND_6 = 2.0000E-05 REFLECTANCE_MULT_BAND_7 = 2.0000E-05 REFLECTANCE_MULT_BAND_8 = 2.0000E-05 REFLECTANCE_MULT_BAND_9 = 2.0000E-05 REFLECTANCE_ADD_BAND_1 = -0.100000 REFLECTANCE_ADD_BAND_2 = -0.100000 REFLECTANCE_ADD_BAND_3 = -0.100000 REFLECTANCE_ADD_BAND_4 = -0.100000 REFLECTANCE_ADD_BAND_5 = -0.100000 REFLECTANCE_ADD_BAND_6 = -0.100000 REFLECTANCE_ADD_BAND_7 = -0.100000 REFLECTANCE_ADD_BAND_8 = -0.100000 REFLECTANCE_ADD_BAND_9 = -0.100000 END_GROUP = RADIOMETRIC_RESCALING GROUP = TIRS_THERMAL_CONSTANTS K1_CONSTANT_BAND_10 = 774.8853 K2_CONSTANT_BAND_10 = 1321.0789 K1_CONSTANT_BAND_11 = 480.8883 K2_CONSTANT_BAND_11 = 1201.1442 END_GROUP = TIRS_THERMAL_CONSTANTS GROUP = PROJECTION_PARAMETERS MAP_PROJECTION = "UTM" DATUM = "WGS84" ELLIPSOID = "WGS84" UTM_ZONE = 29 GRID_CELL_SIZE_PANCHROMATIC = 15.00 GRID_CELL_SIZE_REFLECTIVE = 30.00 GRID_CELL_SIZE_THERMAL = 30.00 ORIENTATION = "NORTH_UP" RESAMPLING_OPTION = "CUBIC_CONVOLUTION" END_GROUP = PROJECTION_PARAMETERS END_GROUP = L1_METADATA_FILE END snakemake-6.15.1/tests/test_remote_gs/landsat-data.txt000066400000000000000000000203761417574166400230550ustar00rootroot00000000000000GROUP = L1_METADATA_FILE GROUP = METADATA_FILE_INFO ORIGIN = "Image courtesy of the U.S. Geological Survey" REQUEST_ID = "0501705013406_00001" LANDSAT_SCENE_ID = "LC80010032017120LGN00" LANDSAT_PRODUCT_ID = "LC08_L1GT_001003_20170430_20170501_01_RT" COLLECTION_NUMBER = 01 FILE_DATE = 2017-05-01T16:00:24Z STATION_ID = "LGN" PROCESSING_SOFTWARE_VERSION = "LPGS_2.7.0" END_GROUP = METADATA_FILE_INFO GROUP = PRODUCT_METADATA DATA_TYPE = "L1GT" COLLECTION_CATEGORY = "RT" ELEVATION_SOURCE = "GLS2000" OUTPUT_FORMAT = "GEOTIFF" SPACECRAFT_ID = "LANDSAT_8" SENSOR_ID = "OLI_TIRS" WRS_PATH = 1 WRS_ROW = 3 NADIR_OFFNADIR = "NADIR" TARGET_WRS_PATH = 1 TARGET_WRS_ROW = 3 DATE_ACQUIRED = 2017-04-30 SCENE_CENTER_TIME = "14:07:16.5180850Z" CORNER_UL_LAT_PRODUCT = 80.21528 CORNER_UL_LON_PRODUCT = -17.96312 CORNER_UR_LAT_PRODUCT = 80.28798 CORNER_UR_LON_PRODUCT = -3.45901 CORNER_LL_LAT_PRODUCT = 77.79053 CORNER_LL_LON_PRODUCT = -16.19251 CORNER_LR_LAT_PRODUCT = 77.84841 CORNER_LR_LON_PRODUCT = -4.56164 CORNER_UL_PROJECTION_X_PRODUCT = 330600.000 CORNER_UL_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_UR_PROJECTION_X_PRODUCT = 604200.000 CORNER_UR_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_LL_PROJECTION_X_PRODUCT = 330600.000 CORNER_LL_PROJECTION_Y_PRODUCT = 8645400.000 CORNER_LR_PROJECTION_X_PRODUCT = 604200.000 CORNER_LR_PROJECTION_Y_PRODUCT = 8645400.000 PANCHROMATIC_LINES = 18221 PANCHROMATIC_SAMPLES = 18241 REFLECTIVE_LINES = 9111 REFLECTIVE_SAMPLES = 9121 THERMAL_LINES = 9111 THERMAL_SAMPLES = 9121 FILE_NAME_BAND_1 = "LC08_L1GT_001003_20170430_20170501_01_RT_B1.TIF" FILE_NAME_BAND_2 = "LC08_L1GT_001003_20170430_20170501_01_RT_B2.TIF" FILE_NAME_BAND_3 = "LC08_L1GT_001003_20170430_20170501_01_RT_B3.TIF" FILE_NAME_BAND_4 = "LC08_L1GT_001003_20170430_20170501_01_RT_B4.TIF" FILE_NAME_BAND_5 = "LC08_L1GT_001003_20170430_20170501_01_RT_B5.TIF" FILE_NAME_BAND_6 = "LC08_L1GT_001003_20170430_20170501_01_RT_B6.TIF" FILE_NAME_BAND_7 = "LC08_L1GT_001003_20170430_20170501_01_RT_B7.TIF" FILE_NAME_BAND_8 = "LC08_L1GT_001003_20170430_20170501_01_RT_B8.TIF" FILE_NAME_BAND_9 = "LC08_L1GT_001003_20170430_20170501_01_RT_B9.TIF" FILE_NAME_BAND_10 = "LC08_L1GT_001003_20170430_20170501_01_RT_B10.TIF" FILE_NAME_BAND_11 = "LC08_L1GT_001003_20170430_20170501_01_RT_B11.TIF" FILE_NAME_BAND_QUALITY = "LC08_L1GT_001003_20170430_20170501_01_RT_BQA.TIF" ANGLE_COEFFICIENT_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_ANG.txt" METADATA_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt" CPF_NAME = "LC08CPF_20170401_20170630_01.02" BPF_NAME_OLI = "LO8BPF20170430140614_20170430144404.01" BPF_NAME_TIRS = "LT8BPF20170426235522_20170427000359.01" RLUT_FILE_NAME = "LC08RLUT_20150303_20431231_01_12.h5" END_GROUP = PRODUCT_METADATA GROUP = IMAGE_ATTRIBUTES CLOUD_COVER = 24.32 CLOUD_COVER_LAND = -1 IMAGE_QUALITY_OLI = 9 IMAGE_QUALITY_TIRS = 7 TIRS_SSM_MODEL = "PRELIMINARY" TIRS_SSM_POSITION_STATUS = "ESTIMATED" TIRS_STRAY_LIGHT_CORRECTION_SOURCE = "TIRS" ROLL_ANGLE = -0.001 SUN_AZIMUTH = -156.47580997 SUN_ELEVATION = 24.99099132 EARTH_SUN_DISTANCE = 1.0074392 SATURATION_BAND_1 = "N" SATURATION_BAND_2 = "N" SATURATION_BAND_3 = "N" SATURATION_BAND_4 = "N" SATURATION_BAND_5 = "N" SATURATION_BAND_6 = "N" SATURATION_BAND_7 = "N" SATURATION_BAND_8 = "N" SATURATION_BAND_9 = "N" TRUNCATION_OLI = "UPPER" END_GROUP = IMAGE_ATTRIBUTES GROUP = MIN_MAX_RADIANCE RADIANCE_MAXIMUM_BAND_1 = 748.87909 RADIANCE_MINIMUM_BAND_1 = -61.84268 RADIANCE_MAXIMUM_BAND_2 = 766.86133 RADIANCE_MINIMUM_BAND_2 = -63.32766 RADIANCE_MAXIMUM_BAND_3 = 706.65613 RADIANCE_MINIMUM_BAND_3 = -58.35589 RADIANCE_MAXIMUM_BAND_4 = 595.89227 RADIANCE_MINIMUM_BAND_4 = -49.20898 RADIANCE_MAXIMUM_BAND_5 = 364.65634 RADIANCE_MINIMUM_BAND_5 = -30.11344 RADIANCE_MAXIMUM_BAND_6 = 90.68671 RADIANCE_MINIMUM_BAND_6 = -7.48894 RADIANCE_MAXIMUM_BAND_7 = 30.56628 RADIANCE_MINIMUM_BAND_7 = -2.52417 RADIANCE_MAXIMUM_BAND_8 = 674.38605 RADIANCE_MINIMUM_BAND_8 = -55.69102 RADIANCE_MAXIMUM_BAND_9 = 142.51598 RADIANCE_MINIMUM_BAND_9 = -11.76902 RADIANCE_MAXIMUM_BAND_10 = 22.00180 RADIANCE_MINIMUM_BAND_10 = 0.10033 RADIANCE_MAXIMUM_BAND_11 = 22.00180 RADIANCE_MINIMUM_BAND_11 = 0.10033 END_GROUP = MIN_MAX_RADIANCE GROUP = MIN_MAX_REFLECTANCE REFLECTANCE_MAXIMUM_BAND_1 = 1.210700 REFLECTANCE_MINIMUM_BAND_1 = -0.099980 REFLECTANCE_MAXIMUM_BAND_2 = 1.210700 REFLECTANCE_MINIMUM_BAND_2 = -0.099980 REFLECTANCE_MAXIMUM_BAND_3 = 1.210700 REFLECTANCE_MINIMUM_BAND_3 = -0.099980 REFLECTANCE_MAXIMUM_BAND_4 = 1.210700 REFLECTANCE_MINIMUM_BAND_4 = -0.099980 REFLECTANCE_MAXIMUM_BAND_5 = 1.210700 REFLECTANCE_MINIMUM_BAND_5 = -0.099980 REFLECTANCE_MAXIMUM_BAND_6 = 1.210700 REFLECTANCE_MINIMUM_BAND_6 = -0.099980 REFLECTANCE_MAXIMUM_BAND_7 = 1.210700 REFLECTANCE_MINIMUM_BAND_7 = -0.099980 REFLECTANCE_MAXIMUM_BAND_8 = 1.210700 REFLECTANCE_MINIMUM_BAND_8 = -0.099980 REFLECTANCE_MAXIMUM_BAND_9 = 1.210700 REFLECTANCE_MINIMUM_BAND_9 = -0.099980 END_GROUP = MIN_MAX_REFLECTANCE GROUP = MIN_MAX_PIXEL_VALUE QUANTIZE_CAL_MAX_BAND_1 = 65535 QUANTIZE_CAL_MIN_BAND_1 = 1 QUANTIZE_CAL_MAX_BAND_2 = 65535 QUANTIZE_CAL_MIN_BAND_2 = 1 QUANTIZE_CAL_MAX_BAND_3 = 65535 QUANTIZE_CAL_MIN_BAND_3 = 1 QUANTIZE_CAL_MAX_BAND_4 = 65535 QUANTIZE_CAL_MIN_BAND_4 = 1 QUANTIZE_CAL_MAX_BAND_5 = 65535 QUANTIZE_CAL_MIN_BAND_5 = 1 QUANTIZE_CAL_MAX_BAND_6 = 65535 QUANTIZE_CAL_MIN_BAND_6 = 1 QUANTIZE_CAL_MAX_BAND_7 = 65535 QUANTIZE_CAL_MIN_BAND_7 = 1 QUANTIZE_CAL_MAX_BAND_8 = 65535 QUANTIZE_CAL_MIN_BAND_8 = 1 QUANTIZE_CAL_MAX_BAND_9 = 65535 QUANTIZE_CAL_MIN_BAND_9 = 1 QUANTIZE_CAL_MAX_BAND_10 = 65535 QUANTIZE_CAL_MIN_BAND_10 = 1 QUANTIZE_CAL_MAX_BAND_11 = 65535 QUANTIZE_CAL_MIN_BAND_11 = 1 END_GROUP = MIN_MAX_PIXEL_VALUE GROUP = RADIOMETRIC_RESCALING RADIANCE_MULT_BAND_1 = 1.2371E-02 RADIANCE_MULT_BAND_2 = 1.2668E-02 RADIANCE_MULT_BAND_3 = 1.1674E-02 RADIANCE_MULT_BAND_4 = 9.8438E-03 RADIANCE_MULT_BAND_5 = 6.0239E-03 RADIANCE_MULT_BAND_6 = 1.4981E-03 RADIANCE_MULT_BAND_7 = 5.0494E-04 RADIANCE_MULT_BAND_8 = 1.1140E-02 RADIANCE_MULT_BAND_9 = 2.3543E-03 RADIANCE_MULT_BAND_10 = 3.3420E-04 RADIANCE_MULT_BAND_11 = 3.3420E-04 RADIANCE_ADD_BAND_1 = -61.85505 RADIANCE_ADD_BAND_2 = -63.34032 RADIANCE_ADD_BAND_3 = -58.36757 RADIANCE_ADD_BAND_4 = -49.21882 RADIANCE_ADD_BAND_5 = -30.11946 RADIANCE_ADD_BAND_6 = -7.49044 RADIANCE_ADD_BAND_7 = -2.52468 RADIANCE_ADD_BAND_8 = -55.70216 RADIANCE_ADD_BAND_9 = -11.77137 RADIANCE_ADD_BAND_10 = 0.10000 RADIANCE_ADD_BAND_11 = 0.10000 REFLECTANCE_MULT_BAND_1 = 2.0000E-05 REFLECTANCE_MULT_BAND_2 = 2.0000E-05 REFLECTANCE_MULT_BAND_3 = 2.0000E-05 REFLECTANCE_MULT_BAND_4 = 2.0000E-05 REFLECTANCE_MULT_BAND_5 = 2.0000E-05 REFLECTANCE_MULT_BAND_6 = 2.0000E-05 REFLECTANCE_MULT_BAND_7 = 2.0000E-05 REFLECTANCE_MULT_BAND_8 = 2.0000E-05 REFLECTANCE_MULT_BAND_9 = 2.0000E-05 REFLECTANCE_ADD_BAND_1 = -0.100000 REFLECTANCE_ADD_BAND_2 = -0.100000 REFLECTANCE_ADD_BAND_3 = -0.100000 REFLECTANCE_ADD_BAND_4 = -0.100000 REFLECTANCE_ADD_BAND_5 = -0.100000 REFLECTANCE_ADD_BAND_6 = -0.100000 REFLECTANCE_ADD_BAND_7 = -0.100000 REFLECTANCE_ADD_BAND_8 = -0.100000 REFLECTANCE_ADD_BAND_9 = -0.100000 END_GROUP = RADIOMETRIC_RESCALING GROUP = TIRS_THERMAL_CONSTANTS K1_CONSTANT_BAND_10 = 774.8853 K2_CONSTANT_BAND_10 = 1321.0789 K1_CONSTANT_BAND_11 = 480.8883 K2_CONSTANT_BAND_11 = 1201.1442 END_GROUP = TIRS_THERMAL_CONSTANTS GROUP = PROJECTION_PARAMETERS MAP_PROJECTION = "UTM" DATUM = "WGS84" ELLIPSOID = "WGS84" UTM_ZONE = 29 GRID_CELL_SIZE_PANCHROMATIC = 15.00 GRID_CELL_SIZE_REFLECTIVE = 30.00 GRID_CELL_SIZE_THERMAL = 30.00 ORIENTATION = "NORTH_UP" RESAMPLING_OPTION = "CUBIC_CONVOLUTION" END_GROUP = PROJECTION_PARAMETERS END_GROUP = L1_METADATA_FILE END snakemake-6.15.1/tests/test_remote_http/000077500000000000000000000000001417574166400203155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_http/Snakefile000066400000000000000000000023411417574166400221410ustar00rootroot00000000000000from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider shell.executable("bash") HTTP = HTTPRemoteProvider() # The plain text version and the unzipped .gz version should have the same content. # The diff command returns exit code 0 for identical files, 1 for differing files and 2 for errors. rule compare: input: "landsat-data.txt", "landsat-data-unzipped.txt" shell: "diff {input[0]} {input[1]}" rule copy: input: HTTP.remote("bitbucket.org/snakemake/snakemake/raw/http-gzip-autodecode/tests/test_remote_http/expected-results/landsat-data.txt") output: "landsat-data.txt" shell: "cp {input} {output}" rule copy_gz: input: HTTP.remote("bitbucket.org/snakemake/snakemake/raw/http-gzip-autodecode/tests/test_remote_http/expected-results/landsat-data.txt.gz") output: "landsat-data.txt.gz" shell: "cp {input} {output}" # This only works if the input file is a gzipped file. # Hence, it will fail, if the .txt.gz file is automagically decompressed by the requests module. rule unizp: input: "landsat-data.txt.gz" output: "landsat-data-unzipped.txt" shell: "gunzip -c {input} > {output}" snakemake-6.15.1/tests/test_remote_http/expected-results/000077500000000000000000000000001417574166400236155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_http/expected-results/landsat-data.txt000066400000000000000000000203761417574166400267230ustar00rootroot00000000000000GROUP = L1_METADATA_FILE GROUP = METADATA_FILE_INFO ORIGIN = "Image courtesy of the U.S. Geological Survey" REQUEST_ID = "0501705013406_00001" LANDSAT_SCENE_ID = "LC80010032017120LGN00" LANDSAT_PRODUCT_ID = "LC08_L1GT_001003_20170430_20170501_01_RT" COLLECTION_NUMBER = 01 FILE_DATE = 2017-05-01T16:00:24Z STATION_ID = "LGN" PROCESSING_SOFTWARE_VERSION = "LPGS_2.7.0" END_GROUP = METADATA_FILE_INFO GROUP = PRODUCT_METADATA DATA_TYPE = "L1GT" COLLECTION_CATEGORY = "RT" ELEVATION_SOURCE = "GLS2000" OUTPUT_FORMAT = "GEOTIFF" SPACECRAFT_ID = "LANDSAT_8" SENSOR_ID = "OLI_TIRS" WRS_PATH = 1 WRS_ROW = 3 NADIR_OFFNADIR = "NADIR" TARGET_WRS_PATH = 1 TARGET_WRS_ROW = 3 DATE_ACQUIRED = 2017-04-30 SCENE_CENTER_TIME = "14:07:16.5180850Z" CORNER_UL_LAT_PRODUCT = 80.21528 CORNER_UL_LON_PRODUCT = -17.96312 CORNER_UR_LAT_PRODUCT = 80.28798 CORNER_UR_LON_PRODUCT = -3.45901 CORNER_LL_LAT_PRODUCT = 77.79053 CORNER_LL_LON_PRODUCT = -16.19251 CORNER_LR_LAT_PRODUCT = 77.84841 CORNER_LR_LON_PRODUCT = -4.56164 CORNER_UL_PROJECTION_X_PRODUCT = 330600.000 CORNER_UL_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_UR_PROJECTION_X_PRODUCT = 604200.000 CORNER_UR_PROJECTION_Y_PRODUCT = 8918700.000 CORNER_LL_PROJECTION_X_PRODUCT = 330600.000 CORNER_LL_PROJECTION_Y_PRODUCT = 8645400.000 CORNER_LR_PROJECTION_X_PRODUCT = 604200.000 CORNER_LR_PROJECTION_Y_PRODUCT = 8645400.000 PANCHROMATIC_LINES = 18221 PANCHROMATIC_SAMPLES = 18241 REFLECTIVE_LINES = 9111 REFLECTIVE_SAMPLES = 9121 THERMAL_LINES = 9111 THERMAL_SAMPLES = 9121 FILE_NAME_BAND_1 = "LC08_L1GT_001003_20170430_20170501_01_RT_B1.TIF" FILE_NAME_BAND_2 = "LC08_L1GT_001003_20170430_20170501_01_RT_B2.TIF" FILE_NAME_BAND_3 = "LC08_L1GT_001003_20170430_20170501_01_RT_B3.TIF" FILE_NAME_BAND_4 = "LC08_L1GT_001003_20170430_20170501_01_RT_B4.TIF" FILE_NAME_BAND_5 = "LC08_L1GT_001003_20170430_20170501_01_RT_B5.TIF" FILE_NAME_BAND_6 = "LC08_L1GT_001003_20170430_20170501_01_RT_B6.TIF" FILE_NAME_BAND_7 = "LC08_L1GT_001003_20170430_20170501_01_RT_B7.TIF" FILE_NAME_BAND_8 = "LC08_L1GT_001003_20170430_20170501_01_RT_B8.TIF" FILE_NAME_BAND_9 = "LC08_L1GT_001003_20170430_20170501_01_RT_B9.TIF" FILE_NAME_BAND_10 = "LC08_L1GT_001003_20170430_20170501_01_RT_B10.TIF" FILE_NAME_BAND_11 = "LC08_L1GT_001003_20170430_20170501_01_RT_B11.TIF" FILE_NAME_BAND_QUALITY = "LC08_L1GT_001003_20170430_20170501_01_RT_BQA.TIF" ANGLE_COEFFICIENT_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_ANG.txt" METADATA_FILE_NAME = "LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt" CPF_NAME = "LC08CPF_20170401_20170630_01.02" BPF_NAME_OLI = "LO8BPF20170430140614_20170430144404.01" BPF_NAME_TIRS = "LT8BPF20170426235522_20170427000359.01" RLUT_FILE_NAME = "LC08RLUT_20150303_20431231_01_12.h5" END_GROUP = PRODUCT_METADATA GROUP = IMAGE_ATTRIBUTES CLOUD_COVER = 24.32 CLOUD_COVER_LAND = -1 IMAGE_QUALITY_OLI = 9 IMAGE_QUALITY_TIRS = 7 TIRS_SSM_MODEL = "PRELIMINARY" TIRS_SSM_POSITION_STATUS = "ESTIMATED" TIRS_STRAY_LIGHT_CORRECTION_SOURCE = "TIRS" ROLL_ANGLE = -0.001 SUN_AZIMUTH = -156.47580997 SUN_ELEVATION = 24.99099132 EARTH_SUN_DISTANCE = 1.0074392 SATURATION_BAND_1 = "N" SATURATION_BAND_2 = "N" SATURATION_BAND_3 = "N" SATURATION_BAND_4 = "N" SATURATION_BAND_5 = "N" SATURATION_BAND_6 = "N" SATURATION_BAND_7 = "N" SATURATION_BAND_8 = "N" SATURATION_BAND_9 = "N" TRUNCATION_OLI = "UPPER" END_GROUP = IMAGE_ATTRIBUTES GROUP = MIN_MAX_RADIANCE RADIANCE_MAXIMUM_BAND_1 = 748.87909 RADIANCE_MINIMUM_BAND_1 = -61.84268 RADIANCE_MAXIMUM_BAND_2 = 766.86133 RADIANCE_MINIMUM_BAND_2 = -63.32766 RADIANCE_MAXIMUM_BAND_3 = 706.65613 RADIANCE_MINIMUM_BAND_3 = -58.35589 RADIANCE_MAXIMUM_BAND_4 = 595.89227 RADIANCE_MINIMUM_BAND_4 = -49.20898 RADIANCE_MAXIMUM_BAND_5 = 364.65634 RADIANCE_MINIMUM_BAND_5 = -30.11344 RADIANCE_MAXIMUM_BAND_6 = 90.68671 RADIANCE_MINIMUM_BAND_6 = -7.48894 RADIANCE_MAXIMUM_BAND_7 = 30.56628 RADIANCE_MINIMUM_BAND_7 = -2.52417 RADIANCE_MAXIMUM_BAND_8 = 674.38605 RADIANCE_MINIMUM_BAND_8 = -55.69102 RADIANCE_MAXIMUM_BAND_9 = 142.51598 RADIANCE_MINIMUM_BAND_9 = -11.76902 RADIANCE_MAXIMUM_BAND_10 = 22.00180 RADIANCE_MINIMUM_BAND_10 = 0.10033 RADIANCE_MAXIMUM_BAND_11 = 22.00180 RADIANCE_MINIMUM_BAND_11 = 0.10033 END_GROUP = MIN_MAX_RADIANCE GROUP = MIN_MAX_REFLECTANCE REFLECTANCE_MAXIMUM_BAND_1 = 1.210700 REFLECTANCE_MINIMUM_BAND_1 = -0.099980 REFLECTANCE_MAXIMUM_BAND_2 = 1.210700 REFLECTANCE_MINIMUM_BAND_2 = -0.099980 REFLECTANCE_MAXIMUM_BAND_3 = 1.210700 REFLECTANCE_MINIMUM_BAND_3 = -0.099980 REFLECTANCE_MAXIMUM_BAND_4 = 1.210700 REFLECTANCE_MINIMUM_BAND_4 = -0.099980 REFLECTANCE_MAXIMUM_BAND_5 = 1.210700 REFLECTANCE_MINIMUM_BAND_5 = -0.099980 REFLECTANCE_MAXIMUM_BAND_6 = 1.210700 REFLECTANCE_MINIMUM_BAND_6 = -0.099980 REFLECTANCE_MAXIMUM_BAND_7 = 1.210700 REFLECTANCE_MINIMUM_BAND_7 = -0.099980 REFLECTANCE_MAXIMUM_BAND_8 = 1.210700 REFLECTANCE_MINIMUM_BAND_8 = -0.099980 REFLECTANCE_MAXIMUM_BAND_9 = 1.210700 REFLECTANCE_MINIMUM_BAND_9 = -0.099980 END_GROUP = MIN_MAX_REFLECTANCE GROUP = MIN_MAX_PIXEL_VALUE QUANTIZE_CAL_MAX_BAND_1 = 65535 QUANTIZE_CAL_MIN_BAND_1 = 1 QUANTIZE_CAL_MAX_BAND_2 = 65535 QUANTIZE_CAL_MIN_BAND_2 = 1 QUANTIZE_CAL_MAX_BAND_3 = 65535 QUANTIZE_CAL_MIN_BAND_3 = 1 QUANTIZE_CAL_MAX_BAND_4 = 65535 QUANTIZE_CAL_MIN_BAND_4 = 1 QUANTIZE_CAL_MAX_BAND_5 = 65535 QUANTIZE_CAL_MIN_BAND_5 = 1 QUANTIZE_CAL_MAX_BAND_6 = 65535 QUANTIZE_CAL_MIN_BAND_6 = 1 QUANTIZE_CAL_MAX_BAND_7 = 65535 QUANTIZE_CAL_MIN_BAND_7 = 1 QUANTIZE_CAL_MAX_BAND_8 = 65535 QUANTIZE_CAL_MIN_BAND_8 = 1 QUANTIZE_CAL_MAX_BAND_9 = 65535 QUANTIZE_CAL_MIN_BAND_9 = 1 QUANTIZE_CAL_MAX_BAND_10 = 65535 QUANTIZE_CAL_MIN_BAND_10 = 1 QUANTIZE_CAL_MAX_BAND_11 = 65535 QUANTIZE_CAL_MIN_BAND_11 = 1 END_GROUP = MIN_MAX_PIXEL_VALUE GROUP = RADIOMETRIC_RESCALING RADIANCE_MULT_BAND_1 = 1.2371E-02 RADIANCE_MULT_BAND_2 = 1.2668E-02 RADIANCE_MULT_BAND_3 = 1.1674E-02 RADIANCE_MULT_BAND_4 = 9.8438E-03 RADIANCE_MULT_BAND_5 = 6.0239E-03 RADIANCE_MULT_BAND_6 = 1.4981E-03 RADIANCE_MULT_BAND_7 = 5.0494E-04 RADIANCE_MULT_BAND_8 = 1.1140E-02 RADIANCE_MULT_BAND_9 = 2.3543E-03 RADIANCE_MULT_BAND_10 = 3.3420E-04 RADIANCE_MULT_BAND_11 = 3.3420E-04 RADIANCE_ADD_BAND_1 = -61.85505 RADIANCE_ADD_BAND_2 = -63.34032 RADIANCE_ADD_BAND_3 = -58.36757 RADIANCE_ADD_BAND_4 = -49.21882 RADIANCE_ADD_BAND_5 = -30.11946 RADIANCE_ADD_BAND_6 = -7.49044 RADIANCE_ADD_BAND_7 = -2.52468 RADIANCE_ADD_BAND_8 = -55.70216 RADIANCE_ADD_BAND_9 = -11.77137 RADIANCE_ADD_BAND_10 = 0.10000 RADIANCE_ADD_BAND_11 = 0.10000 REFLECTANCE_MULT_BAND_1 = 2.0000E-05 REFLECTANCE_MULT_BAND_2 = 2.0000E-05 REFLECTANCE_MULT_BAND_3 = 2.0000E-05 REFLECTANCE_MULT_BAND_4 = 2.0000E-05 REFLECTANCE_MULT_BAND_5 = 2.0000E-05 REFLECTANCE_MULT_BAND_6 = 2.0000E-05 REFLECTANCE_MULT_BAND_7 = 2.0000E-05 REFLECTANCE_MULT_BAND_8 = 2.0000E-05 REFLECTANCE_MULT_BAND_9 = 2.0000E-05 REFLECTANCE_ADD_BAND_1 = -0.100000 REFLECTANCE_ADD_BAND_2 = -0.100000 REFLECTANCE_ADD_BAND_3 = -0.100000 REFLECTANCE_ADD_BAND_4 = -0.100000 REFLECTANCE_ADD_BAND_5 = -0.100000 REFLECTANCE_ADD_BAND_6 = -0.100000 REFLECTANCE_ADD_BAND_7 = -0.100000 REFLECTANCE_ADD_BAND_8 = -0.100000 REFLECTANCE_ADD_BAND_9 = -0.100000 END_GROUP = RADIOMETRIC_RESCALING GROUP = TIRS_THERMAL_CONSTANTS K1_CONSTANT_BAND_10 = 774.8853 K2_CONSTANT_BAND_10 = 1321.0789 K1_CONSTANT_BAND_11 = 480.8883 K2_CONSTANT_BAND_11 = 1201.1442 END_GROUP = TIRS_THERMAL_CONSTANTS GROUP = PROJECTION_PARAMETERS MAP_PROJECTION = "UTM" DATUM = "WGS84" ELLIPSOID = "WGS84" UTM_ZONE = 29 GRID_CELL_SIZE_PANCHROMATIC = 15.00 GRID_CELL_SIZE_REFLECTIVE = 30.00 GRID_CELL_SIZE_THERMAL = 30.00 ORIENTATION = "NORTH_UP" RESAMPLING_OPTION = "CUBIC_CONVOLUTION" END_GROUP = PROJECTION_PARAMETERS END_GROUP = L1_METADATA_FILE END snakemake-6.15.1/tests/test_remote_http/expected-results/landsat-data.txt.gz000066400000000000000000000037041417574166400273360ustar00rootroot00000000000000‹D°Zlandsat-data.txt•š[£¸Çß÷SDýä;öHû@’æ,Ƙžé~±V«Þ‹´G#í™=:ûíOÙ\$g4j5Ô¿~vÙe»€>骭w?î lÏ™I‰Iì1/²v»SošÝ·yy¬À¸ÛU:?å%ØŸòÿüÛÇî—oÿõýã?ÿì¾ýºûþûÇ®šhwúøöç·ßþøåç?wÍßý÷ãŸ'﫳ÏmÖ›œ?âÇîeHXÿp'+’òÐ$Æ6iVf½¸H%Ø¢œ0AÅ©Dh.¯uuhS3: i |2¶ó³Î1Šº_ Y ÿµéiUYjòª´e{~Î4 ö&> D·œëñ=‹O}"ìÝ‹“xç¾íSÙa¡KiÖ4yy²Mu4_Ù×L7 õºúÔXÅ‘$+vsðãè òMyµy«3†¸¯K!†S¥ßœ`ˆ;+²×®çMÕêÔ;ŸŠ† ap«ÖÔ­±ÇJŸã­Yeòã±³6u’f©NŽã¨÷s!{{V6•îmU‘[“ë¦3}Ñ­ó<ÞÐÕ¸¦þºL¹¶ÕñèqÿKçm}ÊŒ½‚LîOYnúl’~nsÆyd{ŠºnúDƒ&ÓÐųÌ>¡øÇIŽÞ‡Õ%¨Ú—œ½DÁœÈ¥†ö"Úã8R‚b2Sé(+¹ÍQ4b\õ9Ú‹Še§â8Šât)ZtJDX>G-;(É$»ÍQ,â ¶ü«O¯5¥H A®­ëߦ㢰Œo8èµbäž> âÁŠõãì†Ãƒë,¨“2}ѬÝ<µE^f[*’|mn’s] ‚~¢uvôÛÇk6z+Œ¯lW…{´yÉ`Ë(®Ýà ¿Ù•É9³Ï°XüÈ>nŸqÓÓ-y DVAô1]±Ç@lÄñUx $VAñc x$ÉUz ¤VA=˜‘hõhr¯g÷ç6)róöïsrá%å €i•yšÃ)hÇ‚'úþ¿ït^Á<Ì:›âÂJëãŒà®;Gû_Žéž{ 5‡wª$ÜÚÂPobf/—Œ! Õçèëjïl.ÎDÊ9!½3ÓQ®Fg]´7FÏߎ¨™A@}¤˜D¿óeñw£¾Lù99A%cŒÎŸ[“5ÝðU{€ù{õe+a%ËûÖfþ¬÷–Ó'N?Hꆥ‚¸Û¸áÂ6ÍÙž«CV¸Øjù9/ýö4—ÔU“we%Æ­F(ün²ÃTjtòGÄéÅ@?µîO´K-z©5²Ögª Ãp](M[Úä=?·¾ Üc."s‰”ŠGûXåvãXq?HY¢Í‹uªC-}»I(fTu(h[ÝUÉ—s©¯ð—6²a£6¶aã6±a‹7lræ&6£Û2ílýZjë:ÓË”½‘—ã£L^ÚsòÕj¨ÞÝðv³Ù_8 ÌÝù2°1“¿H-ty9×톂”¹Ás“ I)ÝàÏ£°n@½Ás{M$ ÈÝâ9ݞ˶ ¹ŒcÊs“Τ"$Þà1_Z«ˆ ©¶âu‰Bsý£lƒÇýóŠ0)0ðƒ0È `Ð; À`w<€Áï0DCÜaÄŒøC0ä† `¨; ¦ÜM2t”ªC®ÞZ/ó1XÝùSÁ³ÎSXQ àòò´8ÒÚÂÌãluÞŽªþäBn©º£CÕ°¥r « ´¤Žµ<’G•O[xÞ¤jKÕí¾LI¼¥riÅ#Ä”ëײ‚UÝþˆááu«÷.5žŒnµèçê]FÐV“~r×dÉá°¨Æ9_Vb£f¬°¢dE3VÍ"æñŠf¬„±”kœKu«˜XÑ %«BËx”\êÐå3Æ(j˼ÖÒX/Ƙ®Eu©Z“à¥dzÍ–‹+‘›0¾!$¡B*d¡B*¡Â8T(C…j[8Ïý~Z®çežþ÷e4LÆÂd sizes.txt" snakemake-6.15.1/tests/test_remote_ncbi/expected-results/000077500000000000000000000000001417574166400235515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_ncbi/expected-results/sizes.txt000066400000000000000000000001161417574166400254450ustar00rootroot000000000000005801 KY785484.1.fasta 5255 KY785481.1.fasta 5318 KY785480.1.fasta 16374 total snakemake-6.15.1/tests/test_remote_ncbi_simple/000077500000000000000000000000001417574166400216225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_ncbi_simple/Snakefile000066400000000000000000000006211417574166400234450ustar00rootroot00000000000000from snakemake.remote.NCBI import RemoteProvider as NCBIRemoteProvider NCBI = NCBIRemoteProvider(email="someone@example.com") # email required by NCBI to prevent abuse rule all: input: "sizes.txt" rule download_and_count: input: NCBI.remote("KY785484.1.fasta", db="nuccore") output: "sizes.txt" shell: r"wc -c {input} | sed 's/^[ \t]*//' > sizes.txt" snakemake-6.15.1/tests/test_remote_ncbi_simple/expected-results/000077500000000000000000000000001417574166400251225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_ncbi_simple/expected-results/sizes.txt000066400000000000000000000000271417574166400270170ustar00rootroot0000000000000010861 KY785484.1.fasta snakemake-6.15.1/tests/test_remote_sftp/000077500000000000000000000000001417574166400203125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_sftp/Snakefile000066400000000000000000000003741417574166400221420ustar00rootroot00000000000000from snakemake.remote.SFTP import RemoteProvider SFTP = RemoteProvider(username="demo", password="password") rule a: input: SFTP.remote("test.rebex.net/readme.txt") output: "readme.txt" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_remote_sftp/expected-results/000077500000000000000000000000001417574166400236125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_remote_sftp/expected-results/readme.txt000066400000000000000000000006231417574166400256110ustar00rootroot00000000000000Welcome, you are connected to an FTP or SFTP server used for testing purposes by Rebex FTP/SSL or Rebex SFTP sample code. Only read access is allowed and the FTP download speed is limited to 16KBps. For infomation about Rebex FTP/SSL, Rebex SFTP and other Rebex .NET components, please visit our website at http://www.rebex.net/ For feedback and support, contact support@rebex.net Thanks! snakemake-6.15.1/tests/test_report/000077500000000000000000000000001417574166400172765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/.snakemake/000077500000000000000000000000001417574166400213135ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/.snakemake/metadata/000077500000000000000000000000001417574166400230735ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/.snakemake/metadata/ZmlnMS5zdmc=000066400000000000000000000020211417574166400252310ustar00rootroot00000000000000{"version": null, "code": 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"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", "rule": "e", "input": [], "log": [], "params": [], "shellcmd": "\n mkdir testdir\n for x in 1 2 3\n do \n echo $x > testdir/$x.txt\n done\n ", "incomplete": false, "starttime": 1585317518.3560374, "endtime": 1585317518.3680375, "job_hash": 2045751853232800755, "conda_env": null, "container_img_url": null}snakemake-6.15.1/tests/test_report/Snakefile000066400000000000000000000023761417574166400211320ustar00rootroot00000000000000 report: "report/workflow.rst" shell.executable("bash") rule all: input: ["fig1.svg", "testmodel.fig2.png", "test.csv", "testdir"] rule c: output: "test.{i}.out" singularity: "docker://continuumio/miniconda3:4.4.10" conda: "envs/test.yaml" shell: "sleep `shuf -i 1-3 -n 1`; touch {output}" rule a: input: expand("test.{i}.out", i=range(10)) output: report("fig1.svg", caption="report/fig1.rst", category="Step 1") shell: "sleep `shuf -i 1-3 -n 1`; cp data/fig1.svg {output}" rule b: input: expand("test.{i}.out", i=range(10)) output: report("{model}.fig2.png", caption="report/fig2.rst", category="Step 2", subcategory="{model}") shell: "sleep `shuf -i 1-3 -n 1`; cp data/fig2.png {output}" rule d: output: report("test.csv", caption="report/table.rst") run: shell("curl http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv > {output}") rule e: output: 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Æg@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4ÿܬ™SÓS–§IEND®B`‚snakemake-6.15.1/tests/test_report/envs/000077500000000000000000000000001417574166400202515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/envs/test.yaml000066400000000000000000000000611417574166400221110ustar00rootroot00000000000000channels: - conda-forge dependencies: - make snakemake-6.15.1/tests/test_report/expected-results/000077500000000000000000000000001417574166400225765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/expected-results/report.html000066400000000000000000060345031417574166400250120ustar00rootroot00000000000000 Snakemake Report

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Workflow

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testmodel

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snakemake-6.15.1/tests/test_report/fig1.svg000066400000000000000000000672611417574166400206610ustar00rootroot00000000000000 snakemake-6.15.1/tests/test_report/report/000077500000000000000000000000001417574166400206115ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/report/fig1.rst000066400000000000000000000000731417574166400221710ustar00rootroot00000000000000This is a caption with a `link `_. snakemake-6.15.1/tests/test_report/report/fig2.rst000066400000000000000000000000361417574166400221710ustar00rootroot00000000000000Some math :math:`\sum_i i^2`. snakemake-6.15.1/tests/test_report/report/table.rst000066400000000000000000000000221417574166400224240ustar00rootroot00000000000000An example table. snakemake-6.15.1/tests/test_report/report/testdir.rst000066400000000000000000000002271417574166400230220ustar00rootroot00000000000000Files obtained from a directory. This file starts with {{ snakemake.wildcards.name }}. This value has been dynamically inferred from the given pattern.snakemake-6.15.1/tests/test_report/report/workflow.rst000066400000000000000000000000741417574166400232160ustar00rootroot00000000000000This is the workflow description. Test reference fig1.svg_. snakemake-6.15.1/tests/test_report/test.0.out000066400000000000000000000000001417574166400211320ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.1.out000066400000000000000000000000001417574166400211330ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.2.out000066400000000000000000000000001417574166400211340ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.3.out000066400000000000000000000000001417574166400211350ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.4.out000066400000000000000000000000001417574166400211360ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.5.out000066400000000000000000000000001417574166400211370ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.6.out000066400000000000000000000000001417574166400211400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.7.out000066400000000000000000000000001417574166400211410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.8.out000066400000000000000000000000001417574166400211420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.9.out000066400000000000000000000000001417574166400211430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report/test.csv000066400000000000000000003350371417574166400210050ustar00rootroot00000000000000street,city,zip,state,beds,baths,sq__ft,type,sale_date,price,latitude,longitude 3526 HIGH ST,SACRAMENTO,95838,CA,2,1,836,Residential,Wed May 21 00:00:00 EDT 2008,59222,38.631913,-121.434879 51 OMAHA CT,SACRAMENTO,95823,CA,3,1,1167,Residential,Wed May 21 00:00:00 EDT 2008,68212,38.478902,-121.431028 2796 BRANCH ST,SACRAMENTO,95815,CA,2,1,796,Residential,Wed May 21 00:00:00 EDT 2008,68880,38.618305,-121.443839 2805 JANETTE WAY,SACRAMENTO,95815,CA,2,1,852,Residential,Wed May 21 00:00:00 EDT 2008,69307,38.616835,-121.439146 6001 MCMAHON DR,SACRAMENTO,95824,CA,2,1,797,Residential,Wed May 21 00:00:00 EDT 2008,81900,38.51947,-121.435768 5828 PEPPERMILL CT,SACRAMENTO,95841,CA,3,1,1122,Condo,Wed May 21 00:00:00 EDT 2008,89921,38.662595,-121.327813 6048 OGDEN NASH WAY,SACRAMENTO,95842,CA,3,2,1104,Residential,Wed May 21 00:00:00 EDT 2008,90895,38.681659,-121.351705 2561 19TH AVE,SACRAMENTO,95820,CA,3,1,1177,Residential,Wed May 21 00:00:00 EDT 2008,91002,38.535092,-121.481367 11150 TRINITY RIVER DR Unit 114,RANCHO CORDOVA,95670,CA,2,2,941,Condo,Wed May 21 00:00:00 EDT 2008,94905,38.621188,-121.270555 7325 10TH ST,RIO LINDA,95673,CA,3,2,1146,Residential,Wed May 21 00:00:00 EDT 2008,98937,38.700909,-121.442979 645 MORRISON AVE,SACRAMENTO,95838,CA,3,2,909,Residential,Wed May 21 00:00:00 EDT 2008,100309,38.637663,-121.45152 4085 FAWN CIR,SACRAMENTO,95823,CA,3,2,1289,Residential,Wed May 21 00:00:00 EDT 2008,106250,38.470746,-121.458918 2930 LA ROSA RD,SACRAMENTO,95815,CA,1,1,871,Residential,Wed May 21 00:00:00 EDT 2008,106852,38.618698,-121.435833 2113 KIRK WAY,SACRAMENTO,95822,CA,3,1,1020,Residential,Wed May 21 00:00:00 EDT 2008,107502,38.482215,-121.492603 4533 LOCH HAVEN WAY,SACRAMENTO,95842,CA,2,2,1022,Residential,Wed May 21 00:00:00 EDT 2008,108750,38.672914,-121.35934 7340 HAMDEN PL,SACRAMENTO,95842,CA,2,2,1134,Condo,Wed May 21 00:00:00 EDT 2008,110700,38.700051,-121.351278 6715 6TH ST,RIO LINDA,95673,CA,2,1,844,Residential,Wed May 21 00:00:00 EDT 2008,113263,38.689591,-121.452239 6236 LONGFORD DR Unit 1,CITRUS HEIGHTS,95621,CA,2,1,795,Condo,Wed May 21 00:00:00 EDT 2008,116250,38.679776,-121.314089 250 PERALTA AVE,SACRAMENTO,95833,CA,2,1,588,Residential,Wed May 21 00:00:00 EDT 2008,120000,38.612099,-121.469095 113 LEEWILL AVE,RIO LINDA,95673,CA,3,2,1356,Residential,Wed May 21 00:00:00 EDT 2008,121630,38.689999,-121.46322 6118 STONEHAND AVE,CITRUS HEIGHTS,95621,CA,3,2,1118,Residential,Wed May 21 00:00:00 EDT 2008,122000,38.707851,-121.320707 4882 BANDALIN WAY,SACRAMENTO,95823,CA,4,2,1329,Residential,Wed May 21 00:00:00 EDT 2008,122682,38.468173,-121.444071 7511 OAKVALE CT,NORTH HIGHLANDS,95660,CA,4,2,1240,Residential,Wed May 21 00:00:00 EDT 2008,123000,38.702792,-121.38221 9 PASTURE CT,SACRAMENTO,95834,CA,3,2,1601,Residential,Wed May 21 00:00:00 EDT 2008,124100,38.628631,-121.488097 3729 BAINBRIDGE DR,NORTH HIGHLANDS,95660,CA,3,2,901,Residential,Wed May 21 00:00:00 EDT 2008,125000,38.701499,-121.37622 3828 BLACKFOOT WAY,ANTELOPE,95843,CA,3,2,1088,Residential,Wed May 21 00:00:00 EDT 2008,126640,38.70974,-121.37377 4108 NORTON WAY,SACRAMENTO,95820,CA,3,1,963,Residential,Wed May 21 00:00:00 EDT 2008,127281,38.537526,-121.478315 1469 JANRICK AVE,SACRAMENTO,95832,CA,3,2,1119,Residential,Wed May 21 00:00:00 EDT 2008,129000,38.476472,-121.501711 9861 CULP WAY,SACRAMENTO,95827,CA,4,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,131200,38.558423,-121.327948 7825 CREEK VALLEY CIR,SACRAMENTO,95828,CA,3,2,1248,Residential,Wed May 21 00:00:00 EDT 2008,132000,38.472122,-121.404199 5201 LAGUNA OAKS DR Unit 140,ELK GROVE,95758,CA,2,2,1039,Condo,Wed May 21 00:00:00 EDT 2008,133000,38.423251,-121.444489 6768 MEDORA DR,NORTH HIGHLANDS,95660,CA,3,2,1152,Residential,Wed May 21 00:00:00 EDT 2008,134555,38.691161,-121.37192 3100 EXPLORER DR,SACRAMENTO,95827,CA,3,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,136500,38.566663,-121.332644 7944 DOMINION WAY,ELVERTA,95626,CA,3,2,1116,Residential,Wed May 21 00:00:00 EDT 2008,138750,38.713182,-121.411227 5201 LAGUNA OAKS DR Unit 162,ELK GROVE,95758,CA,2,2,1039,Condo,Wed May 21 00:00:00 EDT 2008,141000,38.423251,-121.444489 3920 SHINING STAR DR,SACRAMENTO,95823,CA,3,2,1418,Residential,Wed May 21 00:00:00 EDT 2008,146250,38.48742,-121.462459 5031 CORVAIR ST,NORTH HIGHLANDS,95660,CA,3,2,1082,Residential,Wed May 21 00:00:00 EDT 2008,147308,38.658246,-121.375469 7661 NIXOS WAY,SACRAMENTO,95823,CA,4,2,1472,Residential,Wed May 21 00:00:00 EDT 2008,148750,38.479553,-121.463317 7044 CARTHY WAY,SACRAMENTO,95828,CA,4,2,1146,Residential,Wed May 21 00:00:00 EDT 2008,149593,38.49857,-121.420925 2442 LARKSPUR LN,SACRAMENTO,95825,CA,1,1,760,Condo,Wed May 21 00:00:00 EDT 2008,150000,38.58514,-121.403736 4800 WESTLAKE PKWY Unit 2109,SACRAMENTO,95835,CA,2,2,1304,Condo,Wed May 21 00:00:00 EDT 2008,152000,38.658812,-121.542345 2178 63RD AVE,SACRAMENTO,95822,CA,3,2,1207,Residential,Wed May 21 00:00:00 EDT 2008,154000,38.493955,-121.48966 8718 ELK WAY,ELK GROVE,95624,CA,3,2,1056,Residential,Wed May 21 00:00:00 EDT 2008,156896,38.41653,-121.379653 5708 RIDGEPOINT DR,ANTELOPE,95843,CA,2,2,1043,Residential,Wed May 21 00:00:00 EDT 2008,161250,38.72027,-121.331555 7315 KOALA CT,NORTH HIGHLANDS,95660,CA,4,2,1587,Residential,Wed May 21 00:00:00 EDT 2008,161500,38.699251,-121.371414 2622 ERIN DR,SACRAMENTO,95833,CA,4,1,1120,Residential,Wed May 21 00:00:00 EDT 2008,164000,38.613765,-121.488694 8421 SUNBLAZE WAY,SACRAMENTO,95823,CA,4,2,1580,Residential,Wed May 21 00:00:00 EDT 2008,165000,38.450543,-121.432538 7420 ALIX PKWY,SACRAMENTO,95823,CA,4,1,1955,Residential,Wed May 21 00:00:00 EDT 2008,166357,38.489405,-121.452811 3820 NATOMA WAY,SACRAMENTO,95838,CA,4,2,1656,Residential,Wed May 21 00:00:00 EDT 2008,166357,38.636748,-121.422159 4431 GREEN TREE DR,SACRAMENTO,95823,CA,3,2,1477,Residential,Wed May 21 00:00:00 EDT 2008,168000,38.499954,-121.454469 9417 SARA ST,ELK GROVE,95624,CA,3,2,1188,Residential,Wed May 21 00:00:00 EDT 2008,170000,38.415518,-121.370527 8299 HALBRITE WAY,SACRAMENTO,95828,CA,4,2,1590,Residential,Wed May 21 00:00:00 EDT 2008,173000,38.473814,-121.4 7223 KALLIE KAY LN,SACRAMENTO,95823,CA,3,2,1463,Residential,Wed May 21 00:00:00 EDT 2008,174250,38.477553,-121.419463 8156 STEINBECK WAY,SACRAMENTO,95828,CA,4,2,1714,Residential,Wed May 21 00:00:00 EDT 2008,174313,38.474853,-121.406326 7957 VALLEY GREEN DR,SACRAMENTO,95823,CA,3,2,1185,Residential,Wed May 21 00:00:00 EDT 2008,178480,38.465184,-121.434925 1122 WILD POPPY CT,GALT,95632,CA,3,2,1406,Residential,Wed May 21 00:00:00 EDT 2008,178760,38.287789,-121.294715 4520 BOMARK WAY,SACRAMENTO,95842,CA,4,2,1943,Multi-Family,Wed May 21 00:00:00 EDT 2008,179580,38.665724,-121.358576 9012 KIEFER BLVD,SACRAMENTO,95826,CA,3,2,1172,Residential,Wed May 21 00:00:00 EDT 2008,181000,38.547011,-121.366217 5332 SANDSTONE ST,CARMICHAEL,95608,CA,3,1,1152,Residential,Wed May 21 00:00:00 EDT 2008,181872,38.662105,-121.313945 5993 SAWYER CIR,SACRAMENTO,95823,CA,4,3,1851,Residential,Wed May 21 00:00:00 EDT 2008,182587,38.4473,-121.435218 4844 CLYDEBANK WAY,ANTELOPE,95843,CA,3,2,1215,Residential,Wed May 21 00:00:00 EDT 2008,182716,38.714609,-121.347887 306 CAMELLIA WAY,GALT,95632,CA,3,2,1130,Residential,Wed May 21 00:00:00 EDT 2008,182750,38.260443,-121.297864 9021 MADISON AVE,ORANGEVALE,95662,CA,4,2,1603,Residential,Wed May 21 00:00:00 EDT 2008,183200,38.664186,-121.217511 404 6TH ST,GALT,95632,CA,3,1,1479,Residential,Wed May 21 00:00:00 EDT 2008,188741,38.251808,-121.302493 8317 SUNNY CREEK WAY,SACRAMENTO,95823,CA,3,2,1420,Residential,Wed May 21 00:00:00 EDT 2008,189000,38.459041,-121.424644 2617 BASS CT,SACRAMENTO,95826,CA,3,2,1280,Residential,Wed May 21 00:00:00 EDT 2008,192067,38.560767,-121.377471 7005 TIANT WAY,ELK GROVE,95758,CA,3,2,1586,Residential,Wed May 21 00:00:00 EDT 2008,194000,38.422811,-121.423285 7895 CABER WAY,ANTELOPE,95843,CA,3,2,1362,Residential,Wed May 21 00:00:00 EDT 2008,194818,38.711279,-121.393449 7624 BOGEY CT,SACRAMENTO,95828,CA,4,4,2162,Multi-Family,Wed May 21 00:00:00 EDT 2008,195000,38.48009,-121.415102 6930 HAMPTON COVE WAY,SACRAMENTO,95823,CA,3,2,1266,Residential,Wed May 21 00:00:00 EDT 2008,198000,38.44004,-121.421012 8708 MESA BROOK WAY,ELK GROVE,95624,CA,4,2,1715,Residential,Wed May 21 00:00:00 EDT 2008,199500,38.44076,-121.385792 120 GRANT LN,FOLSOM,95630,CA,3,2,1820,Residential,Wed May 21 00:00:00 EDT 2008,200000,38.687742,-121.17104 5907 ELLERSLEE DR,CARMICHAEL,95608,CA,3,1,936,Residential,Wed May 21 00:00:00 EDT 2008,200000,38.664468,-121.32683 17 SERASPI CT,SACRAMENTO,95834,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,206000,38.631481,-121.50188 170 PENHOW CIR,SACRAMENTO,95834,CA,3,2,1511,Residential,Wed May 21 00:00:00 EDT 2008,208000,38.653439,-121.535169 8345 STAR THISTLE WAY,SACRAMENTO,95823,CA,4,2,1590,Residential,Wed May 21 00:00:00 EDT 2008,212864,38.454349,-121.439239 9080 FRESCA WAY,ELK GROVE,95758,CA,4,2,1596,Residential,Wed May 21 00:00:00 EDT 2008,221000,38.427818,-121.424026 391 NATALINO CIR,SACRAMENTO,95835,CA,2,2,1341,Residential,Wed May 21 00:00:00 EDT 2008,221000,38.67307,-121.506373 8373 BLACKMAN WAY,ELK GROVE,95624,CA,5,3,2136,Residential,Wed May 21 00:00:00 EDT 2008,223058,38.435436,-121.394536 9837 CORTE DORADO CT,ELK GROVE,95624,CA,4,2,1616,Residential,Wed May 21 00:00:00 EDT 2008,227887,38.400676,-121.38101 5037 J PKWY,SACRAMENTO,95823,CA,3,2,1478,Residential,Wed May 21 00:00:00 EDT 2008,231477,38.491399,-121.443547 10245 LOS PALOS DR,RANCHO CORDOVA,95670,CA,3,2,1287,Residential,Wed May 21 00:00:00 EDT 2008,234697,38.593699,-121.31089 6613 NAVION DR,CITRUS HEIGHTS,95621,CA,4,2,1277,Residential,Wed May 21 00:00:00 EDT 2008,235000,38.702855,-121.31308 2887 AZEVEDO DR,SACRAMENTO,95833,CA,4,2,1448,Residential,Wed May 21 00:00:00 EDT 2008,236000,38.618457,-121.509439 9186 KINBRACE CT,SACRAMENTO,95829,CA,4,3,2235,Residential,Wed May 21 00:00:00 EDT 2008,236685,38.463355,-121.358936 4243 MIDDLEBURY WAY,MATHER,95655,CA,3,2,2093,Residential,Wed May 21 00:00:00 EDT 2008,237800,38.547991,-121.280483 1028 FALLON PLACE CT,RIO LINDA,95673,CA,3,2,1193,Residential,Wed May 21 00:00:00 EDT 2008,240122,38.693818,-121.441153 4804 NORIKER DR,ELK GROVE,95757,CA,3,2,2163,Residential,Wed May 21 00:00:00 EDT 2008,242638,38.400974,-121.448424 7713 HARVEST WOODS DR,SACRAMENTO,95828,CA,3,2,1269,Residential,Wed May 21 00:00:00 EDT 2008,244000,38.478198,-121.412911 2866 KARITSA AVE,SACRAMENTO,95833,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,244500,38.626671,-121.52597 6913 RICHEVE WAY,SACRAMENTO,95828,CA,3,1,958,Residential,Wed May 21 00:00:00 EDT 2008,244960,38.502519,-121.420769 8636 TEGEA WAY,ELK GROVE,95624,CA,5,3,2508,Residential,Wed May 21 00:00:00 EDT 2008,245918,38.443832,-121.382087 5448 MAIDSTONE WAY,CITRUS HEIGHTS,95621,CA,3,2,1305,Residential,Wed May 21 00:00:00 EDT 2008,250000,38.665395,-121.293288 18 OLLIE CT,ELK GROVE,95758,CA,4,2,1591,Residential,Wed May 21 00:00:00 EDT 2008,250000,38.444909,-121.412345 4010 ALEX LN,CARMICHAEL,95608,CA,2,2,1326,Condo,Wed May 21 00:00:00 EDT 2008,250134,38.637028,-121.312963 4901 MILLNER WAY,ELK GROVE,95757,CA,3,2,1843,Residential,Wed May 21 00:00:00 EDT 2008,254200,38.38692,-121.447349 4818 BRITTNEY LEE CT,SACRAMENTO,95841,CA,4,2,1921,Residential,Wed May 21 00:00:00 EDT 2008,254200,38.653917,-121.34218 5529 LAGUNA PARK DR,ELK GROVE,95758,CA,5,3,2790,Residential,Wed May 21 00:00:00 EDT 2008,258000,38.42568,-121.438062 230 CANDELA CIR,SACRAMENTO,95835,CA,3,2,1541,Residential,Wed May 21 00:00:00 EDT 2008,260000,38.656251,-121.547572 4900 71ST ST,SACRAMENTO,95820,CA,3,1,1018,Residential,Wed May 21 00:00:00 EDT 2008,260014,38.53151,-121.421089 12209 CONSERVANCY WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,263500,38.553867,-121.219141 4236 NATOMAS CENTRAL DR,SACRAMENTO,95834,CA,3,2,1672,Condo,Wed May 21 00:00:00 EDT 2008,265000,38.648879,-121.544023 5615 LUPIN LN,POLLOCK PINES,95726,CA,3,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,265000,38.708315,-120.603872 5625 JAMES WAY,SACRAMENTO,95822,CA,3,1,975,Residential,Wed May 21 00:00:00 EDT 2008,271742,38.523947,-121.484946 7842 LAHONTAN CT,SACRAMENTO,95829,CA,4,3,2372,Residential,Wed May 21 00:00:00 EDT 2008,273750,38.472976,-121.318633 6850 21ST ST,SACRAMENTO,95822,CA,3,2,1446,Residential,Wed May 21 00:00:00 EDT 2008,275086,38.502194,-121.490795 2900 BLAIR RD,POLLOCK PINES,95726,CA,2,2,1284,Residential,Wed May 21 00:00:00 EDT 2008,280908,38.75485,-120.60476 2064 EXPEDITION WAY,SACRAMENTO,95832,CA,4,3,3009,Residential,Wed May 21 00:00:00 EDT 2008,280987,38.474099,-121.490711 2912 NORCADE CIR,SACRAMENTO,95826,CA,8,4,3612,Multi-Family,Wed May 21 00:00:00 EDT 2008,282400,38.559505,-121.364839 9507 SEA CLIFF WAY,ELK GROVE,95758,CA,4,2,2056,Residential,Wed May 21 00:00:00 EDT 2008,285000,38.410992,-121.479043 8882 AUTUMN GOLD CT,ELK GROVE,95624,CA,4,2,1993,Residential,Wed May 21 00:00:00 EDT 2008,287417,38.4439,-121.37255 5322 WHITE LOTUS WAY,ELK GROVE,95757,CA,3,2,1857,Residential,Wed May 21 00:00:00 EDT 2008,291000,38.391538,-121.442596 1838 CASTRO WAY,SACRAMENTO,95818,CA,2,1,1126,Residential,Wed May 21 00:00:00 EDT 2008,292024,38.556098,-121.490787 10158 CRAWFORD WAY,SACRAMENTO,95827,CA,4,4,2213,Multi-Family,Wed May 21 00:00:00 EDT 2008,297000,38.5703,-121.315735 7731 MASTERS ST,ELK GROVE,95758,CA,5,3,2494,Residential,Wed May 21 00:00:00 EDT 2008,297000,38.442031,-121.410873 4925 PERCHERON DR,ELK GROVE,95757,CA,3,2,1843,Residential,Wed May 21 00:00:00 EDT 2008,298000,38.40154,-121.447649 2010 PROMONTORY POINT LN,GOLD RIVER,95670,CA,2,2,1520,Residential,Wed May 21 00:00:00 EDT 2008,299000,38.62869,-121.261669 4727 SAVOIE WAY,SACRAMENTO,95835,CA,5,3,2800,Residential,Wed May 21 00:00:00 EDT 2008,304037,38.658182,-121.549521 8664 MAGNOLIA HILL WAY,ELK GROVE,95624,CA,4,2,2309,Residential,Wed May 21 00:00:00 EDT 2008,311000,38.442352,-121.389675 9570 HARVEST ROSE WAY,SACRAMENTO,95827,CA,5,3,2367,Residential,Wed May 21 00:00:00 EDT 2008,315537,38.555993,-121.340352 4359 CREGAN CT,RANCHO CORDOVA,95742,CA,5,4,3516,Residential,Wed May 21 00:00:00 EDT 2008,320000,38.545128,-121.224922 5337 DUSTY ROSE WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,320000,38.528575,-121.2286 8929 SUTTERS GOLD DR,SACRAMENTO,95826,CA,4,3,1914,Residential,Wed May 21 00:00:00 EDT 2008,328360,38.550848,-121.370224 8025 PEERLESS AVE,ORANGEVALE,95662,CA,2,1,1690,Residential,Wed May 21 00:00:00 EDT 2008,334150,38.71147,-121.216214 4620 WELERA WAY,ELK GROVE,95757,CA,3,3,2725,Residential,Wed May 21 00:00:00 EDT 2008,335750,38.398609,-121.450148 9723 TERRAPIN CT,ELK GROVE,95757,CA,4,3,2354,Residential,Wed May 21 00:00:00 EDT 2008,335750,38.403492,-121.430224 2115 SMOKESTACK WAY,SACRAMENTO,95833,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,339500,38.602416,-121.542965 100 REBECCA WAY,FOLSOM,95630,CA,3,2,2185,Residential,Wed May 21 00:00:00 EDT 2008,344250,38.68479,-121.149199 9488 OAK VILLAGE WAY,ELK GROVE,95758,CA,4,2,1801,Residential,Wed May 21 00:00:00 EDT 2008,346210,38.41333,-121.404999 8495 DARTFORD DR,SACRAMENTO,95823,CA,3,3,1961,Residential,Wed May 21 00:00:00 EDT 2008,347029,38.448507,-121.421346 6708 PONTA DO SOL WAY,ELK GROVE,95757,CA,4,2,3134,Residential,Wed May 21 00:00:00 EDT 2008,347650,38.380635,-121.425538 4143 SEA MEADOW WAY,SACRAMENTO,95823,CA,4,3,1915,Residential,Wed May 21 00:00:00 EDT 2008,351300,38.46534,-121.457519 3020 RICHARDSON CIR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Wed May 21 00:00:00 EDT 2008,352000,38.691299,-121.081752 8082 LINDA ISLE LN,SACRAMENTO,95831,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,370000,38.4772,-121.5215 15300 MURIETA SOUTH PKWY,RANCHO MURIETA,95683,CA,4,3,2734,Residential,Wed May 21 00:00:00 EDT 2008,370500,38.4874,-121.075129 11215 SHARRMONT CT,WILTON,95693,CA,3,2,2110,Residential,Wed May 21 00:00:00 EDT 2008,372000,38.35062,-121.228349 7105 DANBERG WAY,ELK GROVE,95757,CA,5,3,3164,Residential,Wed May 21 00:00:00 EDT 2008,375000,38.4019,-121.420388 5579 JERRY LITELL WAY,SACRAMENTO,95835,CA,5,3,3599,Residential,Wed May 21 00:00:00 EDT 2008,381300,38.677126,-121.500519 1050 FOXHALL WAY,SACRAMENTO,95831,CA,4,2,2054,Residential,Wed May 21 00:00:00 EDT 2008,381942,38.509819,-121.519661 7837 ABBINGTON WAY,ANTELOPE,95843,CA,4,2,1830,Residential,Wed May 21 00:00:00 EDT 2008,387731,38.709873,-121.339472 1300 F ST,SACRAMENTO,95814,CA,3,3,1627,Residential,Wed May 21 00:00:00 EDT 2008,391000,38.58355,-121.487289 6801 RAWLEY WAY,ELK GROVE,95757,CA,4,3,3440,Residential,Wed May 21 00:00:00 EDT 2008,394470,38.408351,-121.423925 1693 SHELTER COVE DR,GREENWOOD,95635,CA,3,2,2846,Residential,Wed May 21 00:00:00 EDT 2008,395000,38.945357,-120.908822 9361 WADDELL LN,ELK GROVE,95624,CA,4,3,2359,Residential,Wed May 21 00:00:00 EDT 2008,400186,38.450829,-121.349928 10 SEA FOAM CT,SACRAMENTO,95831,CA,3,3,2052,Residential,Wed May 21 00:00:00 EDT 2008,415000,38.487885,-121.545947 6945 RIO TEJO WAY,ELK GROVE,95757,CA,5,3,3433,Residential,Wed May 21 00:00:00 EDT 2008,425000,38.385638,-121.422616 4186 TULIP PARK WAY,RANCHO CORDOVA,95742,CA,5,3,3615,Residential,Wed May 21 00:00:00 EDT 2008,430000,38.550617,-121.23526 9278 DAIRY CT,ELK GROVE,95624,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,445000,38.420338,-121.363757 207 ORANGE BLOSSOM CIR Unit C,FOLSOM,95630,CA,5,3,2687,Residential,Wed May 21 00:00:00 EDT 2008,460000,38.646273,-121.175322 6507 RIO DE ONAR WAY,ELK GROVE,95757,CA,4,3,2724,Residential,Wed May 21 00:00:00 EDT 2008,461000,38.38253,-121.428007 7004 RAWLEY WAY,ELK GROVE,95757,CA,4,3,3440,Residential,Wed May 21 00:00:00 EDT 2008,489332,38.406421,-121.422081 6503 RIO DE ONAR WAY,ELK GROVE,95757,CA,5,4,3508,Residential,Wed May 21 00:00:00 EDT 2008,510000,38.38253,-121.428038 2217 APPALOOSA CT,FOLSOM,95630,CA,4,2,2462,Residential,Wed May 21 00:00:00 EDT 2008,539000,38.655167,-121.090178 868 HILDEBRAND CIR,FOLSOM,95630,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,585000,38.670947,-121.097727 6030 PALERMO WAY,EL DORADO HILLS,95762,CA,4,3,0,Residential,Wed May 21 00:00:00 EDT 2008,600000,38.672761,-121.050378 4070 REDONDO DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Wed May 21 00:00:00 EDT 2008,606238,38.666807,-121.06483 4004 CRESTA WAY,SACRAMENTO,95864,CA,3,3,2325,Residential,Wed May 21 00:00:00 EDT 2008,660000,38.591618,-121.370626 315 JUMEL CT,EL DORADO HILLS,95762,CA,6,5,0,Residential,Wed May 21 00:00:00 EDT 2008,830000,38.669931,-121.05958 6272 LONGFORD DR Unit 1,CITRUS HEIGHTS,95621,CA,2,1,795,Condo,Tue May 20 00:00:00 EDT 2008,69000,38.680923,-121.313945 3432 Y ST,SACRAMENTO,95817,CA,4,2,1099,Residential,Tue May 20 00:00:00 EDT 2008,70000,38.554967,-121.468046 9512 EMERALD PARK DR Unit 3,ELK GROVE,95624,CA,2,1,840,Condo,Tue May 20 00:00:00 EDT 2008,71000,38.40573,-121.369832 3132 CLAY ST,SACRAMENTO,95815,CA,2,1,800,Residential,Tue May 20 00:00:00 EDT 2008,78000,38.624678,-121.439203 5221 38TH AVE,SACRAMENTO,95824,CA,2,1,746,Residential,Tue May 20 00:00:00 EDT 2008,78400,38.518044,-121.443555 6112 HERMOSA ST,SACRAMENTO,95822,CA,3,1,1067,Residential,Tue May 20 00:00:00 EDT 2008,80000,38.515125,-121.480416 483 ARCADE BLVD,SACRAMENTO,95815,CA,4,2,1316,Residential,Tue May 20 00:00:00 EDT 2008,89000,38.623571,-121.454884 671 SONOMA AVE,SACRAMENTO,95815,CA,3,1,1337,Residential,Tue May 20 00:00:00 EDT 2008,90000,38.622953,-121.450142 5980 79TH ST,SACRAMENTO,95824,CA,2,1,868,Residential,Tue May 20 00:00:00 EDT 2008,90000,38.518373,-121.411779 7607 ELDER CREEK RD,SACRAMENTO,95824,CA,3,1,924,Residential,Tue May 20 00:00:00 EDT 2008,92000,38.51055,-121.414768 5028 14TH AVE,SACRAMENTO,95820,CA,2,1,610,Residential,Tue May 20 00:00:00 EDT 2008,93675,38.53942,-121.446894 14788 NATCHEZ CT,RANCHO MURIETA,95683,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,97750,38.492287,-121.100032 1069 ACACIA AVE,SACRAMENTO,95815,CA,2,1,1220,Residential,Tue May 20 00:00:00 EDT 2008,98000,38.621998,-121.442238 5201 LAGUNA OAKS DR Unit 199,ELK GROVE,95758,CA,1,1,722,Condo,Tue May 20 00:00:00 EDT 2008,98000,38.423251,-121.444489 3847 LAS PASAS WAY,SACRAMENTO,95864,CA,3,1,1643,Residential,Tue May 20 00:00:00 EDT 2008,99000,38.588672,-121.373916 5201 LAGUNA OAKS DR Unit 172,ELK GROVE,95758,CA,1,1,722,Condo,Tue May 20 00:00:00 EDT 2008,100000,38.423251,-121.444489 1121 CREEKSIDE WAY,GALT,95632,CA,3,1,1080,Residential,Tue May 20 00:00:00 EDT 2008,106716,38.241514,-121.312199 5307 CABRILLO WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Tue May 20 00:00:00 EDT 2008,111000,38.52712,-121.435348 3725 DON JULIO BLVD,NORTH HIGHLANDS,95660,CA,3,1,1051,Residential,Tue May 20 00:00:00 EDT 2008,111000,38.67895,-121.379406 4803 MCCLOUD DR,SACRAMENTO,95842,CA,2,2,967,Residential,Tue May 20 00:00:00 EDT 2008,114800,38.682279,-121.352817 10542 SILVERWOOD WAY,RANCHO CORDOVA,95670,CA,3,1,1098,Residential,Tue May 20 00:00:00 EDT 2008,120108,38.587156,-121.295778 6318 39TH AVE,SACRAMENTO,95824,CA,3,1,1050,Residential,Tue May 20 00:00:00 EDT 2008,123225,38.518942,-121.430158 211 MCDANIEL CIR,SACRAMENTO,95838,CA,3,2,1110,Residential,Tue May 20 00:00:00 EDT 2008,123750,38.636565,-121.460383 3800 LYNHURST WAY,NORTH HIGHLANDS,95660,CA,3,1,888,Residential,Tue May 20 00:00:00 EDT 2008,125000,38.650445,-121.374861 6139 HERMOSA ST,SACRAMENTO,95822,CA,3,2,1120,Residential,Tue May 20 00:00:00 EDT 2008,125000,38.514665,-121.480411 2505 RHINE WAY,ELVERTA,95626,CA,3,2,1080,Residential,Tue May 20 00:00:00 EDT 2008,126000,38.717976,-121.407684 3692 PAYNE WAY,NORTH HIGHLANDS,95660,CA,3,1,957,Residential,Tue May 20 00:00:00 EDT 2008,129000,38.66654,-121.378298 604 MORRISON AVE,SACRAMENTO,95838,CA,2,1,952,Residential,Tue May 20 00:00:00 EDT 2008,134000,38.637678,-121.452476 648 SANTA ANA AVE,SACRAMENTO,95838,CA,3,2,1211,Residential,Tue May 20 00:00:00 EDT 2008,135000,38.658478,-121.450409 14 ASHLEY OAKS CT,SACRAMENTO,95815,CA,3,2,1264,Residential,Tue May 20 00:00:00 EDT 2008,135500,38.61779,-121.436765 3174 NORTHVIEW DR,SACRAMENTO,95833,CA,3,1,1080,Residential,Tue May 20 00:00:00 EDT 2008,140000,38.623817,-121.477827 840 TRANQUIL LN,GALT,95632,CA,3,2,1266,Residential,Tue May 20 00:00:00 EDT 2008,140000,38.270617,-121.299205 5333 PRIMROSE DR Unit 19A,FAIR OAKS,95628,CA,2,2,994,Condo,Tue May 20 00:00:00 EDT 2008,142500,38.662785,-121.276272 1035 MILLET WAY,SACRAMENTO,95834,CA,3,2,1202,Residential,Tue May 20 00:00:00 EDT 2008,143500,38.631056,-121.48508 5201 LAGUNA OAKS DR Unit 126,ELK GROVE,95758,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,145000,38.423251,-121.444489 3328 22ND AVE,SACRAMENTO,95820,CA,2,1,722,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.532727,-121.470783 8001 HARTWICK WAY,SACRAMENTO,95828,CA,4,2,1448,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.488623,-121.410582 7812 HARTWICK WAY,SACRAMENTO,95828,CA,3,2,1188,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.488611,-121.412808 4207 PAINTER WAY,NORTH HIGHLANDS,95660,CA,4,2,1183,Residential,Tue May 20 00:00:00 EDT 2008,146000,38.692915,-121.367497 7458 WINKLEY WAY,SACRAMENTO,95822,CA,3,1,1320,Residential,Tue May 20 00:00:00 EDT 2008,148500,38.487444,-121.491366 8354 SUNRISE WOODS WAY,SACRAMENTO,95828,CA,3,2,1117,Residential,Tue May 20 00:00:00 EDT 2008,149000,38.473288,-121.3963 8116 COTTONMILL CIR,SACRAMENTO,95828,CA,3,2,1364,Residential,Tue May 20 00:00:00 EDT 2008,150000,38.482876,-121.405912 4660 CEDARWOOD WAY,SACRAMENTO,95823,CA,4,2,1310,Residential,Tue May 20 00:00:00 EDT 2008,150000,38.484834,-121.449316 9254 HARROGATE WAY,ELK GROVE,95758,CA,2,2,1006,Residential,Tue May 20 00:00:00 EDT 2008,152000,38.420138,-121.412179 6716 TAREYTON WAY,CITRUS HEIGHTS,95621,CA,3,2,1104,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.693724,-121.307169 2028 ROBERT WAY,SACRAMENTO,95825,CA,2,1,810,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.609982,-121.419263 9346 AIZENBERG CIR,ELK GROVE,95624,CA,2,2,1123,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.41875,-121.370019 4524 LOCH HAVEN WAY,SACRAMENTO,95842,CA,2,1,904,Residential,Tue May 20 00:00:00 EDT 2008,157788,38.67273,-121.359645 7140 BLUE SPRINGS WAY,CITRUS HEIGHTS,95621,CA,3,2,1156,Residential,Tue May 20 00:00:00 EDT 2008,161653,38.720653,-121.302241 4631 11TH AVE,SACRAMENTO,95820,CA,2,1,1321,Residential,Tue May 20 00:00:00 EDT 2008,161829,38.541965,-121.452132 3228 BAGGAN CT,ANTELOPE,95843,CA,3,2,1392,Residential,Tue May 20 00:00:00 EDT 2008,165000,38.715346,-121.388163 8515 DARTFORD DR,SACRAMENTO,95823,CA,3,2,1439,Residential,Tue May 20 00:00:00 EDT 2008,168000,38.448288,-121.420719 4500 TIPPWOOD WAY,SACRAMENTO,95842,CA,3,2,1159,Residential,Tue May 20 00:00:00 EDT 2008,169000,38.69951,-121.359989 2460 EL ROCCO WAY,RANCHO CORDOVA,95670,CA,3,2,1671,Residential,Tue May 20 00:00:00 EDT 2008,175000,38.591477,-121.31534 8244 SUNBIRD WAY,SACRAMENTO,95823,CA,3,2,1740,Residential,Tue May 20 00:00:00 EDT 2008,176250,38.457654,-121.431381 5841 VALLEY VALE WAY,SACRAMENTO,95823,CA,3,2,1265,Residential,Tue May 20 00:00:00 EDT 2008,179000,38.461283,-121.434322 7863 CRESTLEIGH CT,ANTELOPE,95843,CA,2,2,1007,Residential,Tue May 20 00:00:00 EDT 2008,180000,38.710889,-121.358876 7129 SPRINGMONT DR,ELK GROVE,95758,CA,3,2,1716,Residential,Tue May 20 00:00:00 EDT 2008,180400,38.417649,-121.420294 8284 RED FOX WAY,ELK GROVE,95758,CA,4,2,1685,Residential,Tue May 20 00:00:00 EDT 2008,182000,38.417182,-121.397231 2219 EL CANTO CIR,RANCHO CORDOVA,95670,CA,4,2,1829,Residential,Tue May 20 00:00:00 EDT 2008,184500,38.592383,-121.318669 8907 GEMWOOD WAY,ELK GROVE,95758,CA,3,2,1555,Residential,Tue May 20 00:00:00 EDT 2008,185000,38.435471,-121.441173 5925 MALEVILLE AVE,CARMICHAEL,95608,CA,4,2,1120,Residential,Tue May 20 00:00:00 EDT 2008,189000,38.666564,-121.325717 7031 CANEVALLEY CIR,CITRUS HEIGHTS,95621,CA,3,2,1137,Residential,Tue May 20 00:00:00 EDT 2008,194000,38.718693,-121.303619 3949 WILDROSE WAY,SACRAMENTO,95826,CA,3,1,1174,Residential,Tue May 20 00:00:00 EDT 2008,195000,38.543697,-121.366683 4437 MITCHUM CT,ANTELOPE,95843,CA,3,2,1393,Residential,Tue May 20 00:00:00 EDT 2008,200000,38.704407,-121.36113 2778 KAWEAH CT,CAMERON PARK,95682,CA,3,1,0,Residential,Tue May 20 00:00:00 EDT 2008,201000,38.694052,-120.995589 1636 ALLENWOOD CIR,LINCOLN,95648,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,202500,38.879192,-121.309477 8151 QUAIL RIDGE CT,SACRAMENTO,95828,CA,3,2,1289,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.461296,-121.390858 4899 WIND CREEK DR,SACRAMENTO,95838,CA,4,2,1799,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.655887,-121.446119 2370 BIG CANYON CREEK RD,PLACERVILLE,95667,CA,3,2,0,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.74458,-120.794254 6049 HAMBURG WAY,SACRAMENTO,95823,CA,4,3,1953,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.443253,-121.431992 4232 71ST ST,SACRAMENTO,95820,CA,2,1,723,Residential,Tue May 20 00:00:00 EDT 2008,207000,38.536741,-121.42115 3361 BOW MAR CT,CAMERON PARK,95682,CA,2,2,0,Residential,Tue May 20 00:00:00 EDT 2008,210000,38.69437,-120.996602 1889 COLD SPRINGS RD,PLACERVILLE,95667,CA,2,1,948,Residential,Tue May 20 00:00:00 EDT 2008,211500,38.739774,-120.860243 5805 HIMALAYA WAY,CITRUS HEIGHTS,95621,CA,4,2,1578,Residential,Tue May 20 00:00:00 EDT 2008,215000,38.696489,-121.328555 7944 SYLVAN OAK WAY,CITRUS HEIGHTS,95610,CA,3,2,1317,Residential,Tue May 20 00:00:00 EDT 2008,215000,38.710388,-121.261096 3139 SPOONWOOD WAY Unit 1,SACRAMENTO,95833,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,215500,38.626582,-121.52151 6217 LEOLA WAY,SACRAMENTO,95824,CA,3,1,1360,Residential,Tue May 20 00:00:00 EDT 2008,222381,38.513066,-121.451909 2340 HURLEY WAY,SACRAMENTO,95825,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,225000,38.588816,-121.408549 3035 BRUNNET LN,SACRAMENTO,95833,CA,3,2,1522,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.624762,-121.522775 3025 EL PRADO WAY,SACRAMENTO,95825,CA,4,2,1751,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.606603,-121.394147 9387 GRANITE FALLS CT,ELK GROVE,95624,CA,3,2,1465,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.419214,-121.348533 9257 CALDERA WAY,SACRAMENTO,95826,CA,4,2,1605,Residential,Tue May 20 00:00:00 EDT 2008,228000,38.55821,-121.355022 441 ARLINGDALE CIR,RIO LINDA,95673,CA,4,2,1475,Residential,Tue May 20 00:00:00 EDT 2008,229665,38.702893,-121.454949 2284 LOS ROBLES RD,MEADOW VISTA,95722,CA,3,1,1216,Residential,Tue May 20 00:00:00 EDT 2008,230000,39.008159,-121.03623 8164 CHENIN BLANC LN,FAIR OAKS,95628,CA,2,2,1315,Residential,Tue May 20 00:00:00 EDT 2008,230000,38.665644,-121.259969 4620 CHAMBERLIN CIR,ELK GROVE,95757,CA,3,2,1567,Residential,Tue May 20 00:00:00 EDT 2008,230000,38.390557,-121.449805 5340 BIRK WAY,SACRAMENTO,95835,CA,3,2,1776,Residential,Tue May 20 00:00:00 EDT 2008,234000,38.672495,-121.515251 51 ANJOU CIR,SACRAMENTO,95835,CA,3,2,2187,Residential,Tue May 20 00:00:00 EDT 2008,235000,38.661658,-121.540633 2125 22ND AVE,SACRAMENTO,95822,CA,3,1,1291,Residential,Tue May 20 00:00:00 EDT 2008,236250,38.534596,-121.493121 611 BLOSSOM ROCK LN,FOLSOM,95630,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,240000,38.6457,-121.1197 8830 ADUR RD,ELK GROVE,95624,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,242000,38.43742,-121.372876 7344 BUTTERBALL WAY,SACRAMENTO,95842,CA,3,2,1503,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.699489,-121.361828 8219 GWINHURST CIR,SACRAMENTO,95828,CA,4,3,2491,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.459711,-121.384283 3240 S ST,SACRAMENTO,95816,CA,2,1,1269,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.562296,-121.467489 221 PICASSO CIR,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.676658,-121.528128 5706 GREENACRES WAY,ORANGEVALE,95662,CA,3,2,1176,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.669882,-121.213533 6900 LONICERA DR,ORANGEVALE,95662,CA,4,2,1456,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.692199,-121.250975 419 DAWNRIDGE RD,ROSEVILLE,95678,CA,3,2,1498,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.725283,-121.297953 5312 MARBURY WAY,ANTELOPE,95843,CA,3,2,1574,Residential,Tue May 20 00:00:00 EDT 2008,255000,38.710221,-121.341651 6344 BONHAM CIR,CITRUS HEIGHTS,95610,CA,5,4,2085,Multi-Family,Tue May 20 00:00:00 EDT 2008,256054,38.682358,-121.272876 8207 YORKTON WAY,SACRAMENTO,95829,CA,3,2,2170,Residential,Tue May 20 00:00:00 EDT 2008,257729,38.45967,-121.360461 7922 MANSELL WAY,ELK GROVE,95758,CA,4,2,1595,Residential,Tue May 20 00:00:00 EDT 2008,260000,38.409634,-121.410787 5712 MELBURY CIR,ANTELOPE,95843,CA,3,2,1567,Residential,Tue May 20 00:00:00 EDT 2008,261000,38.705849,-121.334701 632 NEWBRIDGE LN,LINCOLN,95648,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,261800,38.879084,-121.298586 1570 GLIDDEN AVE,SACRAMENTO,95822,CA,4,2,1253,Residential,Tue May 20 00:00:00 EDT 2008,264469,38.482704,-121.500433 8108 FILIFERA WAY,ANTELOPE,95843,CA,4,3,1768,Residential,Tue May 20 00:00:00 EDT 2008,265000,38.717042,-121.35468 230 BANKSIDE WAY,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.676937,-121.529244 5342 CALABRIA WAY,SACRAMENTO,95835,CA,4,3,2030,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.671807,-121.498274 47 NAPONEE CT,SACRAMENTO,95835,CA,3,2,1531,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.665704,-121.529096 4236 ADRIATIC SEA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.647961,-121.543162 8864 REMBRANT CT,ELK GROVE,95624,CA,4,3,1653,Residential,Tue May 20 00:00:00 EDT 2008,275000,38.435288,-121.375703 9455 SEA CLIFF WAY,ELK GROVE,95758,CA,4,2,2056,Residential,Tue May 20 00:00:00 EDT 2008,275000,38.411522,-121.481406 9720 LITTLE HARBOR WAY,ELK GROVE,95624,CA,4,3,2494,Residential,Tue May 20 00:00:00 EDT 2008,280000,38.404934,-121.352405 8806 PHOENIX AVE,FAIR OAKS,95628,CA,3,2,1450,Residential,Tue May 20 00:00:00 EDT 2008,286013,38.660322,-121.230101 3578 LOGGERHEAD WAY,SACRAMENTO,95834,CA,4,2,2169,Residential,Tue May 20 00:00:00 EDT 2008,292000,38.633028,-121.526755 1416 LOCKHART WAY,ROSEVILLE,95747,CA,3,2,1440,Residential,Tue May 20 00:00:00 EDT 2008,292000,38.752399,-121.330328 5413 BUENA VENTURA WAY,FAIR OAKS,95628,CA,3,2,1527,Residential,Tue May 20 00:00:00 EDT 2008,293993,38.664552,-121.255937 37 WHITE BIRCH CT,ROSEVILLE,95678,CA,3,2,1401,Residential,Tue May 20 00:00:00 EDT 2008,294000,38.776327,-121.284514 405 MARLIN SPIKE WAY,SACRAMENTO,95838,CA,3,2,1411,Residential,Tue May 20 00:00:00 EDT 2008,296769,38.65783,-121.456842 1102 CHESLEY LN,LINCOLN,95648,CA,4,4,0,Residential,Tue May 20 00:00:00 EDT 2008,297500,38.864864,-121.313988 11281 STANFORD COURT LN Unit 604,GOLD RIVER,95670,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,300000,38.625289,-121.260286 7320 6TH ST,RIO LINDA,95673,CA,3,1,1284,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.700553,-121.452223 993 MANTON CT,GALT,95632,CA,4,3,2307,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.272942,-121.289148 4487 PANORAMA DR,PLACERVILLE,95667,CA,3,2,1329,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.694559,-120.848157 5651 OVERLEAF WAY,SACRAMENTO,95835,CA,4,2,1910,Residential,Tue May 20 00:00:00 EDT 2008,300500,38.677454,-121.494791 2015 PROMONTORY POINT LN,GOLD RIVER,95670,CA,3,2,1981,Residential,Tue May 20 00:00:00 EDT 2008,305000,38.628732,-121.261149 3224 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,306500,38.772771,-121.364877 15 VANESSA PL,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,312500,38.668692,-121.54549 1312 RENISON LN,LINCOLN,95648,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,315000,38.866409,-121.308485 8 RIVER RAFT CT,SACRAMENTO,95823,CA,4,2,2205,Residential,Tue May 20 00:00:00 EDT 2008,319789,38.447353,-121.434969 2251 LAMPLIGHT LN,LINCOLN,95648,CA,2,2,1449,Residential,Tue May 20 00:00:00 EDT 2008,330000,38.849924,-121.275729 106 FARHAM DR,FOLSOM,95630,CA,3,2,1258,Residential,Tue May 20 00:00:00 EDT 2008,330000,38.667834,-121.168578 5405 NECTAR CIR,ELK GROVE,95757,CA,3,2,2575,Residential,Tue May 20 00:00:00 EDT 2008,331000,38.387014,-121.440967 5411 10TH AVE,SACRAMENTO,95820,CA,2,1,539,Residential,Tue May 20 00:00:00 EDT 2008,334000,38.542727,-121.442449 3512 RAINSONG CIR,RANCHO CORDOVA,95670,CA,4,3,2208,Residential,Tue May 20 00:00:00 EDT 2008,336000,38.573488,-121.282809 1106 55TH ST,SACRAMENTO,95819,CA,3,1,1108,Residential,Tue May 20 00:00:00 EDT 2008,339000,38.563805,-121.436395 411 ILLSLEY WAY,FOLSOM,95630,CA,4,2,1595,Residential,Tue May 20 00:00:00 EDT 2008,339000,38.652002,-121.129504 796 BUTTERCUP CIR,GALT,95632,CA,4,2,2159,Residential,Tue May 20 00:00:00 EDT 2008,345000,38.279581,-121.300828 1230 SANDRA CIR,PLACERVILLE,95667,CA,4,3,2295,Residential,Tue May 20 00:00:00 EDT 2008,350000,38.738141,-120.784145 318 ANACAPA DR,ROSEVILLE,95678,CA,3,2,1838,Residential,Tue May 20 00:00:00 EDT 2008,356000,38.782094,-121.297133 3975 SHINING STAR DR,SACRAMENTO,95823,CA,4,2,1900,Residential,Tue May 20 00:00:00 EDT 2008,361745,38.487409,-121.461413 1620 BASLER ST,SACRAMENTO,95811,CA,4,2,1718,Residential,Tue May 20 00:00:00 EDT 2008,361948,38.591822,-121.478644 9688 NATURE TRAIL WAY,ELK GROVE,95757,CA,5,3,3389,Residential,Tue May 20 00:00:00 EDT 2008,370000,38.405224,-121.479275 5924 TANUS CIR,ROCKLIN,95677,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,380000,38.778691,-121.204292 9629 CEDAR OAK WAY,ELK GROVE,95757,CA,5,4,3260,Residential,Tue May 20 00:00:00 EDT 2008,385000,38.405527,-121.431746 3429 FERNBROOK CT,CAMERON PARK,95682,CA,3,2,2016,Residential,Tue May 20 00:00:00 EDT 2008,399000,38.664225,-121.007173 2121 HANNAH WAY,ROCKLIN,95765,CA,4,2,2607,Residential,Tue May 20 00:00:00 EDT 2008,402000,38.805749,-121.280931 10104 ANNIE ST,ELK GROVE,95757,CA,4,3,2724,Residential,Tue May 20 00:00:00 EDT 2008,406026,38.390465,-121.443479 1092 MAUGHAM CT,GALT,95632,CA,5,4,3746,Residential,Tue May 20 00:00:00 EDT 2008,420000,38.271646,-121.286848 5404 ALMOND FALLS WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,425000,38.527502,-121.233492 6306 CONEJO,RANCHO MURIETA,95683,CA,4,2,3192,Residential,Tue May 20 00:00:00 EDT 2008,425000,38.512602,-121.087233 14 CASA VATONI PL,SACRAMENTO,95834,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,433500,38.650221,-121.551704 1456 EAGLESFIELD LN,LINCOLN,95648,CA,4,3,0,Residential,Tue May 20 00:00:00 EDT 2008,436746,38.857635,-121.311375 4100 BOTHWELL CIR,EL DORADO HILLS,95762,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,438700,38.679136,-121.034329 427 21ST ST,SACRAMENTO,95811,CA,2,1,1247,Residential,Tue May 20 00:00:00 EDT 2008,445000,38.582604,-121.47576 1044 GALSTON DR,FOLSOM,95630,CA,4,2,2581,Residential,Tue May 20 00:00:00 EDT 2008,450000,38.676306,-121.09954 4440 SYCAMORE AVE,SACRAMENTO,95841,CA,3,1,2068,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.646374,-121.353658 1032 SOUZA DR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.668239,-121.064437 9760 LAZULITE CT,ELK GROVE,95624,CA,4,3,3992,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.403609,-121.335541 241 LANFRANCO CIR,SACRAMENTO,95835,CA,4,4,3397,Residential,Tue May 20 00:00:00 EDT 2008,465000,38.665696,-121.549437 5559 NORTHBOROUGH DR,SACRAMENTO,95835,CA,5,3,3881,Residential,Tue May 20 00:00:00 EDT 2008,471750,38.677225,-121.519687 2125 BIG SKY DR,ROCKLIN,95765,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,480000,38.801637,-121.278798 2109 HAMLET PL,CARMICHAEL,95608,CA,2,2,1598,Residential,Tue May 20 00:00:00 EDT 2008,484000,38.602754,-121.329326 9970 STATE HIGHWAY 193,PLACERVILLE,95667,CA,4,3,1929,Residential,Tue May 20 00:00:00 EDT 2008,485000,38.787877,-120.816676 2901 PINTAIL WAY,ELK GROVE,95757,CA,4,3,3070,Residential,Tue May 20 00:00:00 EDT 2008,495000,38.398488,-121.473424 201 FIRESTONE DR,ROSEVILLE,95678,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,500500,38.770153,-121.300039 1740 HIGH ST,AUBURN,95603,CA,3,3,0,Residential,Tue May 20 00:00:00 EDT 2008,504000,38.891935,-121.08434 2733 DANA LOOP,EL DORADO HILLS,95762,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,541000,38.628459,-121.055078 9741 SADDLEBRED CT,WILTON,95693,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,560000,38.408841,-121.198039 7756 TIGERWOODS DR,SACRAMENTO,95829,CA,5,3,3984,Residential,Tue May 20 00:00:00 EDT 2008,572500,38.47643,-121.309243 5709 RIVER OAK WAY,CARMICHAEL,95608,CA,4,2,2222,Residential,Tue May 20 00:00:00 EDT 2008,582000,38.602461,-121.330979 2981 WRINGER DR,ROSEVILLE,95661,CA,4,3,3838,Residential,Tue May 20 00:00:00 EDT 2008,613401,38.735373,-121.227072 8616 ROCKPORTE CT,ROSEVILLE,95747,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,614000,38.742118,-121.359909 4128 HILL ST,FAIR OAKS,95628,CA,5,5,2846,Residential,Tue May 20 00:00:00 EDT 2008,680000,38.64167,-121.262099 1409 47TH ST,SACRAMENTO,95819,CA,5,2,2484,Residential,Tue May 20 00:00:00 EDT 2008,699000,38.563244,-121.446876 3935 EL MONTE DR,LOOMIS,95650,CA,4,4,1624,Residential,Tue May 20 00:00:00 EDT 2008,839000,38.813337,-121.133348 5840 WALERGA RD,SACRAMENTO,95842,CA,2,1,840,Condo,Mon May 19 00:00:00 EDT 2008,40000,38.673678,-121.357471 923 FULTON AVE,SACRAMENTO,95825,CA,1,1,484,Condo,Mon May 19 00:00:00 EDT 2008,48000,38.582279,-121.401482 261 REDONDO AVE,SACRAMENTO,95815,CA,3,1,970,Residential,Mon May 19 00:00:00 EDT 2008,61500,38.620685,-121.460539 4030 BROADWAY,SACRAMENTO,95817,CA,2,1,623,Residential,Mon May 19 00:00:00 EDT 2008,62050,38.546798,-121.460038 3660 22ND AVE,SACRAMENTO,95820,CA,2,1,932,Residential,Mon May 19 00:00:00 EDT 2008,65000,38.532718,-121.46747 3924 HIGH ST,SACRAMENTO,95838,CA,2,1,796,Residential,Mon May 19 00:00:00 EDT 2008,65000,38.638797,-121.435049 4734 14TH AVE,SACRAMENTO,95820,CA,2,1,834,Residential,Mon May 19 00:00:00 EDT 2008,68000,38.539447,-121.450858 4734 14TH AVE,SACRAMENTO,95820,CA,2,1,834,Residential,Mon May 19 00:00:00 EDT 2008,68000,38.539447,-121.450858 5050 RHODE ISLAND DR Unit 4,SACRAMENTO,95841,CA,2,1,924,Condo,Mon May 19 00:00:00 EDT 2008,77000,38.658739,-121.333561 4513 GREENHOLME DR,SACRAMENTO,95842,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,82732,38.669104,-121.359008 3845 ELM ST,SACRAMENTO,95838,CA,3,1,1250,Residential,Mon May 19 00:00:00 EDT 2008,84000,38.637337,-121.432835 3908 17TH AVE,SACRAMENTO,95820,CA,2,1,984,Residential,Mon May 19 00:00:00 EDT 2008,84675,38.53728,-121.463531 7109 CHANDLER DR,SACRAMENTO,95828,CA,3,1,1013,Residential,Mon May 19 00:00:00 EDT 2008,85000,38.497237,-121.424187 7541 SKELTON WAY,SACRAMENTO,95822,CA,3,1,1012,Residential,Mon May 19 00:00:00 EDT 2008,90000,38.484274,-121.488851 9058 MONTOYA ST,SACRAMENTO,95826,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,90000,38.559144,-121.368387 1016 CONGRESS AVE,SACRAMENTO,95838,CA,2,2,918,Residential,Mon May 19 00:00:00 EDT 2008,91000,38.630151,-121.442789 540 MORRISON AVE,SACRAMENTO,95838,CA,3,1,1082,Residential,Mon May 19 00:00:00 EDT 2008,95000,38.637704,-121.453946 5303 JERRETT WAY,SACRAMENTO,95842,CA,2,1,964,Residential,Mon May 19 00:00:00 EDT 2008,97500,38.663282,-121.359631 2820 DEL PASO BLVD,SACRAMENTO,95815,CA,4,2,1404,Multi-Family,Mon May 19 00:00:00 EDT 2008,100000,38.617718,-121.440089 3715 TALLYHO DR Unit 78HIGH,SACRAMENTO,95826,CA,1,1,625,Condo,Mon May 19 00:00:00 EDT 2008,100000,38.544627,-121.35796 6013 ROWAN WAY,CITRUS HEIGHTS,95621,CA,2,1,888,Residential,Mon May 19 00:00:00 EDT 2008,101000,38.675893,-121.2963 2987 PONDEROSA LN,SACRAMENTO,95815,CA,4,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,102750,38.622243,-121.457863 3732 LANKERSHIM WAY,NORTH HIGHLANDS,95660,CA,3,1,1331,Residential,Mon May 19 00:00:00 EDT 2008,112500,38.68972,-121.378399 2216 DUNLAP DR,SACRAMENTO,95821,CA,3,1,1014,Residential,Mon May 19 00:00:00 EDT 2008,113000,38.623738,-121.41305 3503 21ST AVE,SACRAMENTO,95820,CA,4,2,1448,Residential,Mon May 19 00:00:00 EDT 2008,114000,38.53361,-121.469308 523 EXCHANGE ST,SACRAMENTO,95838,CA,3,1,966,Residential,Mon May 19 00:00:00 EDT 2008,114000,38.659414,-121.45408 8101 PORT ROYALE WAY,SACRAMENTO,95823,CA,2,1,779,Residential,Mon May 19 00:00:00 EDT 2008,114750,38.463929,-121.438667 8020 WALERGA RD,ANTELOPE,95843,CA,2,2,836,Condo,Mon May 19 00:00:00 EDT 2008,115000,38.71607,-121.364468 167 VALLEY OAK DR,ROSEVILLE,95678,CA,2,2,1100,Condo,Mon May 19 00:00:00 EDT 2008,115000,38.732429,-121.288069 7876 BURLINGTON WAY,SACRAMENTO,95832,CA,3,1,1174,Residential,Mon May 19 00:00:00 EDT 2008,116100,38.470093,-121.468347 3726 JONKO AVE,NORTH HIGHLANDS,95660,CA,3,2,1207,Residential,Mon May 19 00:00:00 EDT 2008,119250,38.656131,-121.377265 7342 GIGI PL,SACRAMENTO,95828,CA,4,4,1995,Multi-Family,Mon May 19 00:00:00 EDT 2008,120000,38.490704,-121.410176 2610 PHYLLIS AVE,SACRAMENTO,95820,CA,2,1,804,Residential,Mon May 19 00:00:00 EDT 2008,120000,38.53105,-121.479574 4200 COMMERCE WAY Unit 711,SACRAMENTO,95834,CA,2,2,958,Condo,Mon May 19 00:00:00 EDT 2008,120000,38.647523,-121.523217 4621 COUNTRY SCENE WAY,SACRAMENTO,95823,CA,3,2,1366,Residential,Mon May 19 00:00:00 EDT 2008,120108,38.470187,-121.448149 5380 VILLAGE WOOD DR,SACRAMENTO,95823,CA,2,2,901,Residential,Mon May 19 00:00:00 EDT 2008,121500,38.454949,-121.440578 2621 EVERGREEN ST,SACRAMENTO,95815,CA,3,1,696,Residential,Mon May 19 00:00:00 EDT 2008,121725,38.613103,-121.444085 201 CARLO CT,GALT,95632,CA,3,2,1080,Residential,Mon May 19 00:00:00 EDT 2008,122000,38.24227,-121.31032 6743 21ST ST,SACRAMENTO,95822,CA,3,2,1104,Residential,Mon May 19 00:00:00 EDT 2008,123000,38.50372,-121.490657 3128 VIA GRANDE,SACRAMENTO,95825,CA,2,1,972,Residential,Mon May 19 00:00:00 EDT 2008,125000,38.598321,-121.39161 2847 BELGRADE WAY,SACRAMENTO,95833,CA,4,2,1390,Residential,Mon May 19 00:00:00 EDT 2008,125573,38.617173,-121.482541 7741 MILLDALE CIR,ELVERTA,95626,CA,4,2,1354,Residential,Mon May 19 00:00:00 EDT 2008,126714,38.705834,-121.43919 9013 CASALS ST,SACRAMENTO,95826,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,126960,38.557045,-121.37167 227 MAHAN CT Unit 1,ROSEVILLE,95678,CA,2,1,780,Condo,Mon May 19 00:00:00 EDT 2008,127000,38.749723,-121.27008 7349 FLETCHER FARM DR,SACRAMENTO,95828,CA,4,2,1587,Residential,Mon May 19 00:00:00 EDT 2008,127500,38.49069,-121.382619 7226 LARCHMONT DR,NORTH HIGHLANDS,95660,CA,3,2,1209,Residential,Mon May 19 00:00:00 EDT 2008,130000,38.699269,-121.376334 4114 35TH AVE,SACRAMENTO,95824,CA,2,1,1139,Residential,Mon May 19 00:00:00 EDT 2008,133105,38.520941,-121.459355 617 M ST,RIO LINDA,95673,CA,2,2,1690,Residential,Mon May 19 00:00:00 EDT 2008,136500,38.691104,-121.451832 7032 FAIR OAKS BLVD,CARMICHAEL,95608,CA,3,2,1245,Condo,Mon May 19 00:00:00 EDT 2008,139500,38.628563,-121.328297 2421 SANTINA WAY,ELVERTA,95626,CA,3,2,1416,Residential,Mon May 19 00:00:00 EDT 2008,140000,38.71865,-121.407763 2368 CRAIG AVE,SACRAMENTO,95832,CA,3,2,1300,Residential,Mon May 19 00:00:00 EDT 2008,140800,38.47807,-121.48114 2123 AMANDA WAY,SACRAMENTO,95822,CA,3,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,145000,38.484896,-121.486948 7620 DARLA WAY,SACRAMENTO,95828,CA,4,2,1590,Residential,Mon May 19 00:00:00 EDT 2008,147000,38.478502,-121.403517 8344 FIELDPOPPY CIR,SACRAMENTO,95828,CA,3,2,1407,Residential,Mon May 19 00:00:00 EDT 2008,149600,38.479083,-121.400702 3624 20TH AVE,SACRAMENTO,95820,CA,5,2,1516,Residential,Mon May 19 00:00:00 EDT 2008,150000,38.534508,-121.467907 10001 WOODCREEK OAKS BLVD Unit 1415,ROSEVILLE,95747,CA,2,2,0,Condo,Mon May 19 00:00:00 EDT 2008,150000,38.795529,-121.328819 2848 PROVO WAY,SACRAMENTO,95822,CA,3,2,1646,Residential,Mon May 19 00:00:00 EDT 2008,150000,38.489759,-121.474754 6045 EHRHARDT AVE,SACRAMENTO,95823,CA,3,2,1676,Residential,Mon May 19 00:00:00 EDT 2008,155000,38.457157,-121.433065 1223 LAMBERTON CIR,SACRAMENTO,95838,CA,3,2,1370,Residential,Mon May 19 00:00:00 EDT 2008,155435,38.646677,-121.437573 1223 LAMBERTON CIR,SACRAMENTO,95838,CA,3,2,1370,Residential,Mon May 19 00:00:00 EDT 2008,155500,38.646677,-121.437573 6000 BIRCHGLADE WAY,CITRUS HEIGHTS,95621,CA,4,2,1351,Residential,Mon May 19 00:00:00 EDT 2008,158000,38.70166,-121.323249 7204 THOMAS DR,NORTH HIGHLANDS,95660,CA,3,2,1152,Residential,Mon May 19 00:00:00 EDT 2008,158000,38.697898,-121.377687 8363 LANGTREE WAY,SACRAMENTO,95823,CA,3,2,1452,Residential,Mon May 19 00:00:00 EDT 2008,160000,38.45356,-121.435959 1675 VERNON ST Unit 8,ROSEVILLE,95678,CA,2,1,990,Residential,Mon May 19 00:00:00 EDT 2008,160000,38.734136,-121.299639 6632 IBEX WOODS CT,CITRUS HEIGHTS,95621,CA,2,2,1162,Residential,Mon May 19 00:00:00 EDT 2008,164000,38.720868,-121.309855 117 EVCAR WAY,RIO LINDA,95673,CA,3,2,1182,Residential,Mon May 19 00:00:00 EDT 2008,164000,38.687659,-121.4633 6485 LAGUNA MIRAGE LN,ELK GROVE,95758,CA,2,2,1112,Residential,Mon May 19 00:00:00 EDT 2008,165000,38.42465,-121.430137 746 MOOSE CREEK WAY,GALT,95632,CA,3,2,1100,Residential,Mon May 19 00:00:00 EDT 2008,167000,38.283085,-121.302071 8306 CURLEW CT,CITRUS HEIGHTS,95621,CA,4,2,1280,Residential,Mon May 19 00:00:00 EDT 2008,167293,38.715781,-121.298519 8306 CURLEW CT,CITRUS HEIGHTS,95621,CA,4,2,1280,Residential,Mon May 19 00:00:00 EDT 2008,167293,38.715781,-121.298519 5217 ARGO WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Mon May 19 00:00:00 EDT 2008,168000,38.52774,-121.433669 7108 HEATHER TREE DR,SACRAMENTO,95842,CA,3,2,1159,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.695677,-121.36022 2956 DAVENPORT WAY,SACRAMENTO,95833,CA,4,2,1917,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.620687,-121.482619 10062 LINCOLN VILLAGE DR,SACRAMENTO,95827,CA,3,2,1520,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.564,-121.320023 332 PALIN AVE,GALT,95632,CA,3,2,1204,Residential,Mon May 19 00:00:00 EDT 2008,174000,38.260467,-121.302636 4649 FREEWAY CIR,SACRAMENTO,95841,CA,3,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,178000,38.658734,-121.357196 8593 DERLIN WAY,SACRAMENTO,95823,CA,3,2,1436,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.447585,-121.426627 9273 PREMIER WAY,SACRAMENTO,95826,CA,3,2,1451,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.55992,-121.352539 8032 DUSENBERG CT,SACRAMENTO,95828,CA,4,2,1638,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.466499,-121.381119 7110 STELLA LN Unit 15,CARMICHAEL,95608,CA,2,2,1000,Condo,Mon May 19 00:00:00 EDT 2008,182000,38.637396,-121.300055 1786 PIEDMONT WAY,ROSEVILLE,95661,CA,3,1,1152,Residential,Mon May 19 00:00:00 EDT 2008,188325,38.72748,-121.256537 1347 HIDALGO CIR,ROSEVILLE,95747,CA,3,2,1154,Residential,Mon May 19 00:00:00 EDT 2008,191500,38.747878,-121.311279 212 CAPPUCINO WAY,SACRAMENTO,95838,CA,3,2,1353,Residential,Mon May 19 00:00:00 EDT 2008,192000,38.657811,-121.465327 5938 WOODBRIAR WAY,CITRUS HEIGHTS,95621,CA,3,2,1329,Residential,Mon May 19 00:00:00 EDT 2008,192700,38.706152,-121.325399 3801 WILDROSE WAY,SACRAMENTO,95826,CA,3,1,1356,Residential,Mon May 19 00:00:00 EDT 2008,195000,38.544368,-121.369979 508 SAMUEL WAY,SACRAMENTO,95838,CA,3,2,1505,Residential,Mon May 19 00:00:00 EDT 2008,197654,38.645689,-121.452766 6128 CARL SANDBURG CIR,SACRAMENTO,95842,CA,3,1,1009,Residential,Mon May 19 00:00:00 EDT 2008,198000,38.681541,-121.355616 1 KENNELFORD CIR,SACRAMENTO,95823,CA,3,2,1144,Residential,Mon May 19 00:00:00 EDT 2008,200345,38.46452,-121.427606 909 SINGINGWOOD RD,SACRAMENTO,95864,CA,2,1,930,Residential,Mon May 19 00:00:00 EDT 2008,203000,38.581471,-121.38839 6671 FOXWOOD CT,SACRAMENTO,95841,CA,4,2,1766,Residential,Mon May 19 00:00:00 EDT 2008,207000,38.687943,-121.328883 8165 AYN RAND CT,SACRAMENTO,95828,CA,4,3,1940,Residential,Mon May 19 00:00:00 EDT 2008,208000,38.468639,-121.403265 9474 VILLAGE TREE DR,ELK GROVE,95758,CA,4,2,1776,Residential,Mon May 19 00:00:00 EDT 2008,210000,38.413947,-121.408276 7213 CALVIN DR,CITRUS HEIGHTS,95621,CA,3,1,1258,Residential,Mon May 19 00:00:00 EDT 2008,212000,38.698154,-121.298375 8167 DERBY PARK CT,SACRAMENTO,95828,CA,4,2,1872,Residential,Mon May 19 00:00:00 EDT 2008,213675,38.460492,-121.373379 6344 LAGUNA MIRAGE LN,ELK GROVE,95758,CA,2,2,1112,Residential,Mon May 19 00:00:00 EDT 2008,213697,38.423963,-121.428875 2945 RED HAWK WAY,SACRAMENTO,95833,CA,4,2,1856,Residential,Mon May 19 00:00:00 EDT 2008,215000,38.619675,-121.496903 3228 I ST,SACRAMENTO,95816,CA,4,3,1939,Residential,Mon May 19 00:00:00 EDT 2008,215000,38.573844,-121.462839 308 ATKINSON ST,ROSEVILLE,95678,CA,3,1,998,Residential,Mon May 19 00:00:00 EDT 2008,215100,38.746794,-121.29971 624 HOVEY WAY,ROSEVILLE,95678,CA,3,2,1758,Residential,Mon May 19 00:00:00 EDT 2008,217500,38.756149,-121.306479 110 COPPER LEAF WAY,SACRAMENTO,95838,CA,3,2,2142,Residential,Mon May 19 00:00:00 EDT 2008,218000,38.658466,-121.460661 7535 ALMA VISTA WAY,SACRAMENTO,95831,CA,2,1,950,Residential,Mon May 19 00:00:00 EDT 2008,220000,38.48403,-121.507641 7423 WILSALL CT,ELK GROVE,95758,CA,4,3,1739,Residential,Mon May 19 00:00:00 EDT 2008,221000,38.417026,-121.416821 8629 VIA ALTA WAY,ELK GROVE,95624,CA,3,2,1516,Residential,Mon May 19 00:00:00 EDT 2008,222900,38.398245,-121.380615 3318 DAVIDSON DR,ANTELOPE,95843,CA,3,1,988,Residential,Mon May 19 00:00:00 EDT 2008,223139,38.705753,-121.388917 913 COBDEN CT,GALT,95632,CA,4,2,1555,Residential,Mon May 19 00:00:00 EDT 2008,225500,38.282001,-121.295902 4419 79TH ST,SACRAMENTO,95820,CA,3,2,1212,Residential,Mon May 19 00:00:00 EDT 2008,228327,38.534827,-121.412545 3012 SPOONWOOD WAY,SACRAMENTO,95833,CA,4,2,1871,Residential,Mon May 19 00:00:00 EDT 2008,230000,38.62478,-121.523474 8728 CRYSTAL RIVER WAY,SACRAMENTO,95828,CA,3,2,1302,Residential,Mon May 19 00:00:00 EDT 2008,230000,38.47547,-121.380055 4709 AMBER LN Unit 1,SACRAMENTO,95841,CA,2,1,756,Condo,Mon May 19 00:00:00 EDT 2008,230522,38.657789,-121.354994 4508 OLD DAIRY DR,ANTELOPE,95843,CA,4,3,2026,Residential,Mon May 19 00:00:00 EDT 2008,231200,38.72286,-121.358939 312 RIVER ISLE WAY,SACRAMENTO,95831,CA,3,2,1375,Residential,Mon May 19 00:00:00 EDT 2008,232000,38.49026,-121.550527 301 OLIVADI WAY,SACRAMENTO,95834,CA,2,2,1250,Condo,Mon May 19 00:00:00 EDT 2008,232500,38.644406,-121.549049 5636 25TH ST,SACRAMENTO,95822,CA,3,1,1058,Residential,Mon May 19 00:00:00 EDT 2008,233641,38.523828,-121.481139 8721 SPRUCE RIDGE WAY,ANTELOPE,95843,CA,3,2,1187,Residential,Mon May 19 00:00:00 EDT 2008,234000,38.727657,-121.391028 7461 WINDBRIDGE DR,SACRAMENTO,95831,CA,2,2,1324,Residential,Mon May 19 00:00:00 EDT 2008,234500,38.48797,-121.530229 8101 LEMON COVE CT,SACRAMENTO,95828,CA,4,3,1936,Residential,Mon May 19 00:00:00 EDT 2008,235000,38.462981,-121.408288 10949 SCOTSMAN WAY,RANCHO CORDOVA,95670,CA,5,4,2382,Multi-Family,Mon May 19 00:00:00 EDT 2008,236000,38.603686,-121.277844 617 WILLOW CREEK DR,FOLSOM,95630,CA,3,2,1427,Residential,Mon May 19 00:00:00 EDT 2008,236073,38.679626,-121.142609 3301 PARK DR Unit 1914,SACRAMENTO,95835,CA,3,2,1678,Condo,Mon May 19 00:00:00 EDT 2008,238000,38.665296,-121.531993 709 CIMMARON CT,GALT,95632,CA,4,2,1798,Residential,Mon May 19 00:00:00 EDT 2008,238861,38.277177,-121.303747 3305 RIO ROCA CT,ANTELOPE,95843,CA,4,3,2652,Residential,Mon May 19 00:00:00 EDT 2008,239700,38.725079,-121.387698 9080 BEDROCK CT,SACRAMENTO,95829,CA,4,2,1816,Residential,Mon May 19 00:00:00 EDT 2008,240000,38.456939,-121.362965 100 TOURMALINE CIR,SACRAMENTO,95834,CA,5,3,3076,Residential,Mon May 19 00:00:00 EDT 2008,240000,38.63437,-121.510779 6411 RED BIRCH WAY,ELK GROVE,95758,CA,4,2,1844,Residential,Mon May 19 00:00:00 EDT 2008,241000,38.43461,-121.429316 4867 LAGUNA DR,SACRAMENTO,95823,CA,3,2,1306,Residential,Mon May 19 00:00:00 EDT 2008,245000,38.46179,-121.445371 3662 RIVER DR,SACRAMENTO,95833,CA,4,3,2447,Residential,Mon May 19 00:00:00 EDT 2008,246000,38.604969,-121.54255 6943 WOLFGRAM WAY,SACRAMENTO,95828,CA,4,2,1176,Residential,Mon May 19 00:00:00 EDT 2008,247234,38.489215,-121.419546 77 RINETTI WAY,RIO LINDA,95673,CA,4,2,1182,Residential,Mon May 19 00:00:00 EDT 2008,247480,38.687021,-121.463151 1316 I ST,RIO LINDA,95673,CA,3,1,1160,Residential,Mon May 19 00:00:00 EDT 2008,249862,38.683674,-121.435204 2130 CATHERWOOD WAY,SACRAMENTO,95835,CA,3,2,1424,Residential,Mon May 19 00:00:00 EDT 2008,251000,38.675506,-121.510987 8304 JUGLANS DR,ORANGEVALE,95662,CA,4,2,1574,Residential,Mon May 19 00:00:00 EDT 2008,252155,38.691829,-121.249033 5308 MARBURY WAY,ANTELOPE,95843,CA,3,2,1830,Residential,Mon May 19 00:00:00 EDT 2008,254172,38.710221,-121.341707 9182 LAKEMONT DR,ELK GROVE,95624,CA,4,2,1724,Residential,Mon May 19 00:00:00 EDT 2008,258000,38.451353,-121.358776 2231 COUNTRY VILLA CT,AUBURN,95603,CA,2,2,1255,Condo,Mon May 19 00:00:00 EDT 2008,260000,38.931671,-121.097862 8491 CRYSTAL WALK CIR,ELK GROVE,95758,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.416916,-121.407554 361 MAHONIA CIR,SACRAMENTO,95835,CA,4,3,2175,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.676172,-121.509761 3427 LA CADENA WAY,SACRAMENTO,95835,CA,4,2,1904,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.681194,-121.537351 955 BIG SUR CT,EL DORADO HILLS,95762,CA,4,2,1808,Residential,Mon May 19 00:00:00 EDT 2008,262500,38.664347,-121.076529 11826 DIONYSUS WAY,RANCHO CORDOVA,95742,CA,4,2,2711,Residential,Mon May 19 00:00:00 EDT 2008,266000,38.551046,-121.239411 5847 DEL CAMPO LN,CARMICHAEL,95608,CA,3,1,1713,Residential,Mon May 19 00:00:00 EDT 2008,266000,38.671995,-121.324339 5635 FOXVIEW WAY,ELK GROVE,95757,CA,3,2,1457,Residential,Mon May 19 00:00:00 EDT 2008,270000,38.395256,-121.438249 10372 VIA CINTA CT,ELK GROVE,95757,CA,4,3,2724,Residential,Mon May 19 00:00:00 EDT 2008,274425,38.380089,-121.428186 6286 LONETREE BLVD,ROCKLIN,95765,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,274500,38.805036,-121.293608 7744 SOUTHBREEZE DR,SACRAMENTO,95828,CA,3,2,1468,Residential,Mon May 19 00:00:00 EDT 2008,275336,38.476932,-121.378349 2242 ABLE WAY,SACRAMENTO,95835,CA,4,3,2550,Residential,Mon May 19 00:00:00 EDT 2008,277980,38.666074,-121.509743 1042 STARBROOK DR,GALT,95632,CA,4,2,1928,Residential,Mon May 19 00:00:00 EDT 2008,280000,38.285611,-121.293063 1219 G ST,SACRAMENTO,95814,CA,3,3,1922,Residential,Mon May 19 00:00:00 EDT 2008,284686,38.582818,-121.489096 6220 OPUS CT,CITRUS HEIGHTS,95621,CA,3,2,1343,Residential,Mon May 19 00:00:00 EDT 2008,284893,38.715853,-121.317095 5419 HAVENHURST CIR,ROCKLIN,95677,CA,3,2,1510,Residential,Mon May 19 00:00:00 EDT 2008,285000,38.786746,-121.209957 220 OLD AIRPORT RD,AUBURN,95603,CA,2,2,960,Multi-Family,Mon May 19 00:00:00 EDT 2008,285000,38.939802,-121.054575 4622 MEYER WAY,CARMICHAEL,95608,CA,4,2,1559,Residential,Mon May 19 00:00:00 EDT 2008,285000,38.64913,-121.310667 4885 SUMMIT VIEW DR,EL DORADO,95623,CA,3,2,1624,Residential,Mon May 19 00:00:00 EDT 2008,289000,38.673285,-120.879176 26 JEANROSS CT,SACRAMENTO,95832,CA,5,3,2992,Residential,Mon May 19 00:00:00 EDT 2008,295000,38.473162,-121.491085 4800 MAPLEPLAIN AVE,ELK GROVE,95758,CA,4,2,2109,Residential,Mon May 19 00:00:00 EDT 2008,296000,38.432848,-121.449237 10629 BASIE WAY,RANCHO CORDOVA,95670,CA,4,2,1524,Residential,Mon May 19 00:00:00 EDT 2008,296056,38.579,-121.292627 8612 WILLOW GROVE WAY,SACRAMENTO,95828,CA,3,2,1248,Residential,Mon May 19 00:00:00 EDT 2008,297359,38.464994,-121.386962 62 DE FER CIR,SACRAMENTO,95823,CA,4,2,1876,Residential,Mon May 19 00:00:00 EDT 2008,299940,38.49254,-121.463316 2513 OLD KENMARE RD,LINCOLN,95648,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,304000,38.847396,-121.259586 3253 ABOTO WAY,RANCHO CORDOVA,95670,CA,4,3,1851,Residential,Mon May 19 00:00:00 EDT 2008,305000,38.57727,-121.285591 3072 VILLAGE PLAZA DR,ROSEVILLE,95747,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,307000,38.773094,-121.365905 251 CHANGO CIR,SACRAMENTO,95835,CA,4,2,2218,Residential,Mon May 19 00:00:00 EDT 2008,311328,38.68237,-121.539147 8205 WEYBURN CT,SACRAMENTO,95828,CA,3,2,1394,Residential,Mon May 19 00:00:00 EDT 2008,313138,38.47316,-121.403893 8788 LA MARGARITA WAY,SACRAMENTO,95828,CA,3,2,1410,Residential,Mon May 19 00:00:00 EDT 2008,316630,38.468185,-121.375694 5912 DEEPDALE WAY,ELK GROVE,95758,CA,5,3,3468,Residential,Mon May 19 00:00:00 EDT 2008,320000,38.439565,-121.436606 4712 PISMO BEACH DR,ANTELOPE,95843,CA,5,3,2346,Residential,Mon May 19 00:00:00 EDT 2008,320000,38.707705,-121.354153 4741 PACIFIC PARK DR,ANTELOPE,95843,CA,5,3,2347,Residential,Mon May 19 00:00:00 EDT 2008,325000,38.709299,-121.353056 310 GROTH CIR,SACRAMENTO,95834,CA,4,2,1659,Residential,Mon May 19 00:00:00 EDT 2008,328578,38.638764,-121.531827 6121 WILD FOX CT,ELK GROVE,95757,CA,3,3,2442,Residential,Mon May 19 00:00:00 EDT 2008,331000,38.406758,-121.431669 12241 CANYONLANDS DR,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,331500,38.557293,-121.217611 29 COOL FOUNTAIN CT,SACRAMENTO,95833,CA,4,2,2155,Residential,Mon May 19 00:00:00 EDT 2008,340000,38.606906,-121.54132 907 RIO ROBLES AVE,SACRAMENTO,95838,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,344755,38.664765,-121.445006 8909 BILLFISH WAY,SACRAMENTO,95828,CA,3,2,1810,Residential,Mon May 19 00:00:00 EDT 2008,345746,38.475433,-121.372584 6232 GUS WAY,ELK GROVE,95757,CA,4,2,2789,Residential,Mon May 19 00:00:00 EDT 2008,351000,38.388129,-121.43117 200 OAKWILDE ST,GALT,95632,CA,4,2,1606,Residential,Mon May 19 00:00:00 EDT 2008,353767,38.2535,-121.31812 1033 PARK STREAM DR,GALT,95632,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,355000,38.287785,-121.289903 200 ALLAIRE CIR,SACRAMENTO,95835,CA,4,2,2166,Residential,Mon May 19 00:00:00 EDT 2008,356035,38.68318,-121.53484 1322 SUTTER WALK,SACRAMENTO,95816,CA,0,0,0,Condo,Mon May 19 00:00:00 EDT 2008,360000,38.53805,-121.5047 5479 NICKMAN WAY,SACRAMENTO,95835,CA,4,2,1871,Residential,Mon May 19 00:00:00 EDT 2008,360552,38.672966,-121.502748 2103 BURBERRY WAY,SACRAMENTO,95835,CA,3,2,1800,Residential,Mon May 19 00:00:00 EDT 2008,362305,38.67342,-121.508542 2450 SAN JOSE WAY,SACRAMENTO,95817,CA,3,1,1683,Residential,Mon May 19 00:00:00 EDT 2008,365000,38.553596,-121.459483 7641 ROSEHALL DR,ROSEVILLE,95678,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,367554,38.791617,-121.286147 1336 LAYSAN TEAL DR,ROSEVILLE,95747,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,368500,38.796121,-121.319963 2802 BLACK OAK DR,ROCKLIN,95765,CA,2,2,1596,Residential,Mon May 19 00:00:00 EDT 2008,370000,38.837006,-121.232024 2113 FALL TRAIL CT,PLACERVILLE,95667,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,371086,38.733155,-120.748039 10112 LAMBEAU CT,ELK GROVE,95757,CA,3,2,1179,Residential,Mon May 19 00:00:00 EDT 2008,378000,38.390328,-121.448022 6313 CASTRO VERDE WAY,ELK GROVE,95757,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,383000,38.381102,-121.42901 3622 CURTIS DR,SACRAMENTO,95818,CA,3,1,1639,Residential,Mon May 19 00:00:00 EDT 2008,388000,38.541735,-121.480098 11817 OPAL RIDGE WAY,RANCHO CORDOVA,95742,CA,5,3,3281,Residential,Mon May 19 00:00:00 EDT 2008,395100,38.551083,-121.237476 170 LAGOMARSINO WAY,SACRAMENTO,95819,CA,3,2,1697,Residential,Mon May 19 00:00:00 EDT 2008,400000,38.574894,-121.435806 2743 DEAKIN PL,EL DORADO HILLS,95762,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,400000,38.69288,-121.073551 3361 ALDER CANYON WAY,ANTELOPE,95843,CA,4,3,2085,Residential,Mon May 19 00:00:00 EDT 2008,408431,38.727649,-121.385656 2148 RANCH VIEW DR,ROCKLIN,95765,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,413000,38.837455,-121.289337 398 LINDLEY DR,SACRAMENTO,95815,CA,4,2,1744,Multi-Family,Mon May 19 00:00:00 EDT 2008,416767,38.622359,-121.457582 3013 BRIDLEWOOD DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Mon May 19 00:00:00 EDT 2008,420000,38.675519,-121.015862 169 BAURER CIR,FOLSOM,95630,CA,4,3,1939,Residential,Mon May 19 00:00:00 EDT 2008,423000,38.66695,-121.120729 2809 LOON CT,CAMERON PARK,95682,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,423000,38.687072,-121.004729 1315 KONDOS AVE,SACRAMENTO,95814,CA,2,3,1788,Residential,Mon May 19 00:00:00 EDT 2008,427500,38.571943,-121.492106 4966 CHARTER RD,ROCKLIN,95765,CA,3,2,1691,Residential,Mon May 19 00:00:00 EDT 2008,430922,38.82553,-121.254698 9516 LAGUNA LAKE WAY,ELK GROVE,95758,CA,4,2,2002,Residential,Mon May 19 00:00:00 EDT 2008,445000,38.411258,-121.431348 5201 BLOSSOM RANCH DR,ELK GROVE,95757,CA,4,4,4303,Residential,Mon May 19 00:00:00 EDT 2008,450000,38.399436,-121.444041 3027 PALMATE WAY,SACRAMENTO,95834,CA,5,3,4246,Residential,Mon May 19 00:00:00 EDT 2008,452000,38.628955,-121.529269 500 WINCHESTER CT,ROSEVILLE,95661,CA,3,2,2274,Residential,Mon May 19 00:00:00 EDT 2008,470000,38.73988,-121.248929 5746 GELSTON WAY,EL DORADO HILLS,95762,CA,4,3,0,Residential,Mon May 19 00:00:00 EDT 2008,471000,38.677015,-121.034083 6935 ELM TREE LN,ORANGEVALE,95662,CA,4,4,3056,Residential,Mon May 19 00:00:00 EDT 2008,475000,38.693041,-121.23294 9605 GOLF COURSE LN,ELK GROVE,95758,CA,3,3,2503,Residential,Mon May 19 00:00:00 EDT 2008,484500,38.409689,-121.446059 719 BAYWOOD CT,EL DORADO HILLS,95762,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,487500,38.647598,-121.077801 5954 TANUS CIR,ROCKLIN,95677,CA,3,3,0,Residential,Mon May 19 00:00:00 EDT 2008,488750,38.777585,-121.2036 100 CHELSEA CT,FOLSOM,95630,CA,3,2,1905,Residential,Mon May 19 00:00:00 EDT 2008,500000,38.69435,-121.177259 1500 ORANGE HILL LN,PENRYN,95663,CA,3,2,1320,Residential,Mon May 19 00:00:00 EDT 2008,506688,38.862708,-121.162092 408 KIRKWOOD CT,LINCOLN,95648,CA,2,2,0,Residential,Mon May 19 00:00:00 EDT 2008,512000,38.861615,-121.26869 1732 TUSCAN GROVE CIR,ROSEVILLE,95747,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,520000,38.796683,-121.342555 2049 EMPIRE MINE CIR,GOLD RIVER,95670,CA,4,2,3037,Residential,Mon May 19 00:00:00 EDT 2008,528000,38.629299,-121.249021 9360 MAGOS RD,WILTON,95693,CA,5,2,3741,Residential,Mon May 19 00:00:00 EDT 2008,579093,38.416809,-121.240628 104 CATLIN CT,FOLSOM,95630,CA,4,3,2660,Residential,Mon May 19 00:00:00 EDT 2008,636000,38.684459,-121.145935 4734 GIBBONS DR,CARMICHAEL,95608,CA,4,3,3357,Residential,Mon May 19 00:00:00 EDT 2008,668365,38.63558,-121.353639 4629 DORCHESTER LN,GRANITE BAY,95746,CA,5,3,2896,Residential,Mon May 19 00:00:00 EDT 2008,676200,38.723545,-121.216025 2400 COUNTRYSIDE DR,PLACERVILLE,95667,CA,3,2,2025,Residential,Mon May 19 00:00:00 EDT 2008,677048,38.737452,-120.910963 12901 FURLONG DR,WILTON,95693,CA,5,3,3788,Residential,Mon May 19 00:00:00 EDT 2008,691659,38.413535,-121.188211 6222 CALLE MONTALVO CIR,GRANITE BAY,95746,CA,5,3,3670,Residential,Mon May 19 00:00:00 EDT 2008,760000,38.779435,-121.146676 20 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885327,-121.289412 24 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885132,-121.289405 28 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884936,-121.289397 32 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884741,-121.28939 36 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884599,-121.289406 40 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884535,-121.289619 44 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88459,-121.289835 48 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884667,-121.289896 52 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88478,-121.289911 68 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885236,-121.289928 72 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88535,-121.289926 76 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885464,-121.289922 80 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885578,-121.289919 84 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885692,-121.289915 88 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885806,-121.289911 92 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88592,-121.289908 96 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886024,-121.289859 100 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886091,-121.289744 434 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88653,-121.289406 3 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884692,-121.290288 11 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884879,-121.290257 19 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885017,-121.290262 27 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885173,-121.29027 35 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885328,-121.290275 43 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885483,-121.290277 51 E ST,LINCOLN,95648,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885638,-121.290279 59 E ST,LINCOLN,95648,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885794,-121.290281 75 E ST,LINCOLN,95648,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886104,-121.290285 63 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885093,-121.289932 398 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88653,-121.288952 386 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886528,-121.288869 374 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886525,-121.288787 116 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289586 108 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289646 100 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289706 55 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884865,-121.289922 51 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884752,-121.289907 47 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884638,-121.289893 43 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884568,-121.289784 39 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884546,-121.289562 35 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884645,-121.289397 31 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88479,-121.289392 27 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884985,-121.289399 23 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885181,-121.289406 19 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885376,-121.289414 15 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885571,-121.289421 7 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885962,-121.289436 7 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885962,-121.289436 3 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886093,-121.289584 8208 WOODYARD WAY,CITRUS HEIGHTS,95621,CA,3,2,1166,Residential,Fri May 16 00:00:00 EDT 2008,30000,38.715322,-121.314787 113 RINETTI WAY,RIO LINDA,95673,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,30000,38.687172,-121.463933 15 LOORZ CT,SACRAMENTO,95823,CA,2,1,838,Residential,Fri May 16 00:00:00 EDT 2008,55422,38.471646,-121.435158 5805 DOTMAR WAY,NORTH HIGHLANDS,95660,CA,2,1,904,Residential,Fri May 16 00:00:00 EDT 2008,63000,38.672642,-121.380343 2332 CAMBRIDGE ST,SACRAMENTO,95815,CA,2,1,1032,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.608085,-121.449651 3812 BELDEN ST,SACRAMENTO,95838,CA,2,1,904,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.636833,-121.44164 3348 40TH ST,SACRAMENTO,95817,CA,2,1,1080,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.544162,-121.460652 127 QUASAR CIR,SACRAMENTO,95822,CA,2,2,990,Residential,Fri May 16 00:00:00 EDT 2008,66500,38.493504,-121.475304 3812 CYPRESS ST,SACRAMENTO,95838,CA,2,1,900,Residential,Fri May 16 00:00:00 EDT 2008,71000,38.636877,-121.444948 5821 64TH ST,SACRAMENTO,95824,CA,2,1,861,Residential,Fri May 16 00:00:00 EDT 2008,75000,38.521202,-121.428146 8248 CENTER PKWY,SACRAMENTO,95823,CA,2,1,906,Condo,Fri May 16 00:00:00 EDT 2008,77000,38.459002,-121.428794 1171 SONOMA AVE,SACRAMENTO,95815,CA,2,1,1011,Residential,Fri May 16 00:00:00 EDT 2008,85000,38.6238,-121.439872 4250 ARDWELL WAY,SACRAMENTO,95823,CA,3,2,1089,Residential,Fri May 16 00:00:00 EDT 2008,95625,38.466938,-121.455631 3104 CLAY ST,SACRAMENTO,95815,CA,2,1,832,Residential,Fri May 16 00:00:00 EDT 2008,96140,38.62391,-121.439208 6063 LAND PARK DR,SACRAMENTO,95822,CA,2,1,800,Condo,Fri May 16 00:00:00 EDT 2008,104250,38.517029,-121.513809 4738 OAKHOLLOW DR,SACRAMENTO,95842,CA,4,2,1292,Residential,Fri May 16 00:00:00 EDT 2008,105000,38.679598,-121.356035 1401 STERLING ST,SACRAMENTO,95822,CA,2,1,810,Residential,Fri May 16 00:00:00 EDT 2008,108000,38.520319,-121.504727 3715 DIDCOT CIR,SACRAMENTO,95838,CA,4,2,1064,Residential,Fri May 16 00:00:00 EDT 2008,109000,38.635232,-121.460098 2426 RASHAWN DR,RANCHO CORDOVA,95670,CA,2,1,911,Residential,Fri May 16 00:00:00 EDT 2008,115000,38.610852,-121.273278 4800 WESTLAKE PKWY Unit 410,SACRAMENTO,95835,CA,1,1,846,Condo,Fri May 16 00:00:00 EDT 2008,115000,38.658812,-121.542345 3409 VIRGO ST,SACRAMENTO,95827,CA,3,2,1320,Residential,Fri May 16 00:00:00 EDT 2008,115500,38.563402,-121.327747 1110 PINEDALE AVE,SACRAMENTO,95838,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,115620,38.660173,-121.440216 2361 LA LOMA DR,RANCHO CORDOVA,95670,CA,3,2,1115,Residential,Fri May 16 00:00:00 EDT 2008,116000,38.59368,-121.316054 1455 64TH AVE,SACRAMENTO,95822,CA,3,2,1169,Residential,Fri May 16 00:00:00 EDT 2008,122000,38.492177,-121.503392 7328 SPRINGMAN ST,SACRAMENTO,95822,CA,3,2,1164,Residential,Fri May 16 00:00:00 EDT 2008,122500,38.491991,-121.477636 119 SAINT MARIE CIR,SACRAMENTO,95823,CA,4,2,1341,Residential,Fri May 16 00:00:00 EDT 2008,123000,38.481454,-121.446644 12 COSTA BRASE CT,SACRAMENTO,95838,CA,3,2,1219,Residential,Fri May 16 00:00:00 EDT 2008,124000,38.655554,-121.464275 6813 SCOTER WAY,SACRAMENTO,95842,CA,4,2,1127,Residential,Fri May 16 00:00:00 EDT 2008,124000,38.69043,-121.361035 6548 GRAYLOCK LN,NORTH HIGHLANDS,95660,CA,3,2,1272,Residential,Fri May 16 00:00:00 EDT 2008,124413,38.686061,-121.369949 1630 GLIDDEN AVE,SACRAMENTO,95822,CA,4,2,1253,Residential,Fri May 16 00:00:00 EDT 2008,125000,38.482717,-121.499683 7825 DALEWOODS WAY,SACRAMENTO,95828,CA,3,2,1120,Residential,Fri May 16 00:00:00 EDT 2008,130000,38.477297,-121.411513 4073 TRESLER AVE,NORTH HIGHLANDS,95660,CA,2,2,1118,Residential,Fri May 16 00:00:00 EDT 2008,131750,38.659016,-121.370457 4288 DYMIC WAY,SACRAMENTO,95838,CA,4,3,1890,Residential,Fri May 16 00:00:00 EDT 2008,137721,38.646541,-121.441139 1158 SAN IGNACIO WAY,SACRAMENTO,95833,CA,3,2,1260,Residential,Fri May 16 00:00:00 EDT 2008,137760,38.623045,-121.486279 4904 J PKWY,SACRAMENTO,95823,CA,3,2,1400,Residential,Fri May 16 00:00:00 EDT 2008,138000,38.487297,-121.44295 2931 HOWE AVE,SACRAMENTO,95821,CA,3,1,1264,Residential,Fri May 16 00:00:00 EDT 2008,140000,38.619012,-121.415329 5531 JANSEN DR,SACRAMENTO,95824,CA,3,1,1060,Residential,Fri May 16 00:00:00 EDT 2008,145000,38.522015,-121.438713 7836 ORCHARD WOODS CIR,SACRAMENTO,95828,CA,2,2,1132,Residential,Fri May 16 00:00:00 EDT 2008,145000,38.47955,-121.410867 4055 DEERBROOK DR,SACRAMENTO,95823,CA,3,2,1466,Residential,Fri May 16 00:00:00 EDT 2008,150000,38.472117,-121.459589 9937 BURLINE ST,SACRAMENTO,95827,CA,3,2,1092,Residential,Fri May 16 00:00:00 EDT 2008,150000,38.559641,-121.32316 6948 MIRADOR WAY,SACRAMENTO,95828,CA,4,2,1628,Residential,Fri May 16 00:00:00 EDT 2008,151000,38.493484,-121.42035 4909 RUGER CT,SACRAMENTO,95842,CA,3,2,960,Residential,Fri May 16 00:00:00 EDT 2008,155000,38.68747,-121.349234 7204 KERSTEN ST,CITRUS HEIGHTS,95621,CA,3,2,1075,Residential,Fri May 16 00:00:00 EDT 2008,155800,38.695863,-121.300814 3150 ROSEMONT DR,SACRAMENTO,95826,CA,3,2,1428,Residential,Fri May 16 00:00:00 EDT 2008,156142,38.554927,-121.35521 8200 STEINBECK WAY,SACRAMENTO,95828,CA,4,2,1358,Residential,Fri May 16 00:00:00 EDT 2008,158000,38.474854,-121.404726 8198 STEVENSON AVE,SACRAMENTO,95828,CA,6,4,2475,Multi-Family,Fri May 16 00:00:00 EDT 2008,159900,38.465271,-121.40426 6824 OLIVE TREE WAY,CITRUS HEIGHTS,95610,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,160000,38.689239,-121.267737 3536 SUN MAIDEN WAY,ANTELOPE,95843,CA,3,2,1711,Residential,Fri May 16 00:00:00 EDT 2008,161500,38.70968,-121.382328 4517 OLYMPIAD WAY,SACRAMENTO,95826,CA,4,2,1483,Residential,Fri May 16 00:00:00 EDT 2008,161600,38.536751,-121.359154 925 COBDEN CT,GALT,95632,CA,3,2,1140,Residential,Fri May 16 00:00:00 EDT 2008,162000,38.282047,-121.295812 8225 SCOTTSDALE DR,SACRAMENTO,95828,CA,4,2,1549,Residential,Fri May 16 00:00:00 EDT 2008,165000,38.487864,-121.402476 8758 LEMAS RD,SACRAMENTO,95828,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,165000,38.467487,-121.377055 6121 ALPINESPRING WAY,ELK GROVE,95758,CA,3,2,1240,Residential,Fri May 16 00:00:00 EDT 2008,167293,38.434075,-121.432623 5937 YORK GLEN WAY,SACRAMENTO,95842,CA,5,2,1712,Residential,Fri May 16 00:00:00 EDT 2008,168000,38.677003,-121.354454 6417 SUNNYFIELD WAY,SACRAMENTO,95823,CA,4,2,1580,Residential,Fri May 16 00:00:00 EDT 2008,168000,38.449153,-121.428272 4008 GREY LIVERY WAY,ANTELOPE,95843,CA,3,2,1669,Residential,Fri May 16 00:00:00 EDT 2008,168750,38.71846,-121.370862 8920 ROSETTA CIR,SACRAMENTO,95826,CA,3,1,1029,Residential,Fri May 16 00:00:00 EDT 2008,168750,38.544374,-121.370874 8300 LICHEN DR,CITRUS HEIGHTS,95621,CA,3,1,1103,Residential,Fri May 16 00:00:00 EDT 2008,170000,38.71641,-121.306239 8884 AMBERJACK WAY,SACRAMENTO,95828,CA,3,2,2161,Residential,Fri May 16 00:00:00 EDT 2008,170250,38.479343,-121.372553 4480 VALLEY HI DR,SACRAMENTO,95823,CA,3,2,1650,Residential,Fri May 16 00:00:00 EDT 2008,173000,38.466781,-121.450955 2250 FOREBAY RD,POLLOCK PINES,95726,CA,3,1,1320,Residential,Fri May 16 00:00:00 EDT 2008,175000,38.77491,-120.597599 3529 FABERGE WAY,SACRAMENTO,95826,CA,3,2,1200,Residential,Fri May 16 00:00:00 EDT 2008,176095,38.553275,-121.346218 1792 DAWNELLE WAY,SACRAMENTO,95835,CA,3,2,1170,Residential,Fri May 16 00:00:00 EDT 2008,176250,38.68271,-121.501697 7800 TABARE CT,CITRUS HEIGHTS,95621,CA,3,2,1199,Residential,Fri May 16 00:00:00 EDT 2008,178000,38.70799,-121.302979 8531 HERMITAGE WAY,SACRAMENTO,95823,CA,4,2,1695,Residential,Fri May 16 00:00:00 EDT 2008,179000,38.448452,-121.428536 2421 BERRYWOOD DR,RANCHO CORDOVA,95670,CA,3,2,1157,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.60868,-121.27849 1005 MORENO WAY,SACRAMENTO,95838,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.646206,-121.442767 1675 VERNON ST Unit 24,ROSEVILLE,95678,CA,3,2,1174,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.734136,-121.299639 24 WINDCHIME CT,SACRAMENTO,95823,CA,3,2,1593,Residential,Fri May 16 00:00:00 EDT 2008,181000,38.44617,-121.427824 540 HARLING CT,RIO LINDA,95673,CA,3,2,1093,Residential,Fri May 16 00:00:00 EDT 2008,182000,38.68279,-121.453509 1207 CRESCENDO DR,ROSEVILLE,95678,CA,3,2,1770,Residential,Fri May 16 00:00:00 EDT 2008,182587,38.72446,-121.292829 7577 EDDYLEE WAY,SACRAMENTO,95822,CA,4,2,1436,Residential,Fri May 16 00:00:00 EDT 2008,185074,38.48291,-121.491509 8369 FOPPIANO WAY,SACRAMENTO,95829,CA,3,2,1124,Residential,Fri May 16 00:00:00 EDT 2008,185833,38.453839,-121.357919 8817 SAWTELLE WAY,SACRAMENTO,95826,CA,4,2,1139,Residential,Fri May 16 00:00:00 EDT 2008,186785,38.565322,-121.374251 1910 BONAVISTA WAY,SACRAMENTO,95832,CA,3,2,1638,Residential,Fri May 16 00:00:00 EDT 2008,187000,38.476048,-121.494961 8 TIDE CT,SACRAMENTO,95833,CA,3,2,1328,Residential,Fri May 16 00:00:00 EDT 2008,188335,38.609864,-121.492304 8952 ROCKY CREEK CT,ELK GROVE,95758,CA,3,2,1273,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.431239,-121.44001 435 EXCHANGE ST,SACRAMENTO,95838,CA,3,1,1082,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.659434,-121.455236 10105 MONTE VALLO CT,SACRAMENTO,95827,CA,4,2,1578,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.573917,-121.316916 3930 ANNABELLE AVE,ROSEVILLE,95661,CA,2,1,796,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.727609,-121.226494 4854 TANGERINE AVE,SACRAMENTO,95823,CA,3,2,1386,Residential,Fri May 16 00:00:00 EDT 2008,191250,38.478239,-121.446326 2909 SHAWN WAY,RANCHO CORDOVA,95670,CA,3,2,1452,Residential,Fri May 16 00:00:00 EDT 2008,193000,38.589925,-121.299059 4290 BLACKFORD WAY,SACRAMENTO,95823,CA,3,2,1513,Residential,Fri May 16 00:00:00 EDT 2008,193500,38.470494,-121.454162 5890 TT TRAK,FORESTHILL,95631,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,194818,39.020808,-120.821518 7015 WOODSIDE DR,SACRAMENTO,95842,CA,4,2,1578,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.693071,-121.332365 6019 CHESHIRE WAY,CITRUS HEIGHTS,95610,CA,4,3,1736,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.676437,-121.279165 3330 VILLAGE CT,CAMERON PARK,95682,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.690504,-120.996245 2561 VERNA WAY,SACRAMENTO,95821,CA,3,1,1473,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.611055,-121.369964 3522 22ND AVE,SACRAMENTO,95820,CA,3,1,1150,Residential,Fri May 16 00:00:00 EDT 2008,198000,38.532725,-121.469078 2880 CANDIDO DR,SACRAMENTO,95833,CA,3,2,1127,Residential,Fri May 16 00:00:00 EDT 2008,199900,38.618019,-121.510215 6908 PIN OAK CT,FAIR OAKS,95628,CA,3,1,1144,Residential,Fri May 16 00:00:00 EDT 2008,200000,38.66424,-121.303675 5733 ANGELINA AVE,CARMICHAEL,95608,CA,3,1,972,Residential,Fri May 16 00:00:00 EDT 2008,201000,38.622634,-121.330846 7849 BONNY DOWNS WAY,ELK GROVE,95758,CA,4,2,2306,Residential,Fri May 16 00:00:00 EDT 2008,204918,38.42139,-121.411339 8716 LONGSPUR WAY,ANTELOPE,95843,CA,3,2,1479,Residential,Fri May 16 00:00:00 EDT 2008,205000,38.724083,-121.3584 6320 EL DORADO ST,EL DORADO,95623,CA,2,1,1040,Residential,Fri May 16 00:00:00 EDT 2008,205000,38.678758,-120.844118 2328 DOROTHY JUNE WAY,SACRAMENTO,95838,CA,3,2,1430,Residential,Fri May 16 00:00:00 EDT 2008,205878,38.641727,-121.412703 1986 DANVERS WAY,SACRAMENTO,95832,CA,4,2,1800,Residential,Fri May 16 00:00:00 EDT 2008,207000,38.47723,-121.492568 7901 GAZELLE TRAIL WAY,ANTELOPE,95843,CA,4,2,1953,Residential,Fri May 16 00:00:00 EDT 2008,207744,38.71174,-121.342675 6080 BRIDGECROSS DR,SACRAMENTO,95835,CA,3,2,1120,Residential,Fri May 16 00:00:00 EDT 2008,209000,38.681952,-121.505009 20 GROTH CIR,SACRAMENTO,95834,CA,3,2,1232,Residential,Fri May 16 00:00:00 EDT 2008,210000,38.640807,-121.533522 1900 DANBROOK DR,SACRAMENTO,95835,CA,1,1,984,Condo,Fri May 16 00:00:00 EDT 2008,210944,38.668433,-121.503471 140 VENTO CT,ROSEVILLE,95678,CA,3,2,0,Condo,Fri May 16 00:00:00 EDT 2008,212500,38.793533,-121.289685 8442 KEUSMAN ST,ELK GROVE,95758,CA,4,2,2329,Residential,Fri May 16 00:00:00 EDT 2008,213750,38.449651,-121.414704 9552 SUNLIGHT LN,ELK GROVE,95758,CA,3,2,1351,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.410561,-121.404327 2733 YUMA CT,CAMERON PARK,95682,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.691215,-120.994949 1407 TIFFANY CIR,ROSEVILLE,95661,CA,4,1,1376,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.736392,-121.2664 636 CRESTVIEW DR,DIAMOND SPRINGS,95619,CA,3,2,1300,Residential,Fri May 16 00:00:00 EDT 2008,216033,38.688255,-120.810235 1528 HESKET WAY,SACRAMENTO,95825,CA,4,2,1566,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.593598,-121.403637 2327 32ND ST,SACRAMENTO,95817,CA,2,1,1115,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.557433,-121.47034 1833 2ND AVE,SACRAMENTO,95818,CA,2,1,1032,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.556818,-121.490669 7252 CARRIAGE DR,CITRUS HEIGHTS,95621,CA,4,2,1419,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.698058,-121.294893 9815 PASO FINO WAY,ELK GROVE,95757,CA,3,2,1261,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.404888,-121.443998 5532 ENGLE RD,CARMICHAEL,95608,CA,2,2,1637,Residential,Fri May 16 00:00:00 EDT 2008,220702,38.63173,-121.335286 1139 CLINTON RD,SACRAMENTO,95825,CA,4,2,1776,Multi-Family,Fri May 16 00:00:00 EDT 2008,221250,38.585291,-121.406824 9176 SAGE GLEN WAY,ELK GROVE,95758,CA,3,2,1338,Residential,Fri May 16 00:00:00 EDT 2008,222000,38.423913,-121.439115 9967 HATHERTON WAY,ELK GROVE,95757,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,222500,38.3052,-121.4033 9264 BOULDER RIVER WAY,ELK GROVE,95624,CA,5,2,2254,Residential,Fri May 16 00:00:00 EDT 2008,222750,38.421713,-121.345191 320 GROTH CIR,SACRAMENTO,95834,CA,3,2,1441,Residential,Fri May 16 00:00:00 EDT 2008,225000,38.638882,-121.531883 137 GUNNISON AVE,SACRAMENTO,95838,CA,4,2,1991,Residential,Fri May 16 00:00:00 EDT 2008,225000,38.650729,-121.466483 8209 RIVALLO WAY,SACRAMENTO,95829,CA,4,3,2126,Residential,Fri May 16 00:00:00 EDT 2008,228750,38.459524,-121.3501 8637 PERIWINKLE CIR,ELK GROVE,95624,CA,3,2,1094,Residential,Fri May 16 00:00:00 EDT 2008,229000,38.443184,-121.364388 3425 MEADOW WAY,ROCKLIN,95677,CA,3,2,1462,Residential,Fri May 16 00:00:00 EDT 2008,230095,38.798028,-121.235364 107 JARVIS CIR,SACRAMENTO,95834,CA,5,3,2258,Residential,Fri May 16 00:00:00 EDT 2008,232500,38.639891,-121.537603 2319 THORES ST,RANCHO CORDOVA,95670,CA,3,2,1074,Residential,Fri May 16 00:00:00 EDT 2008,233000,38.59675,-121.312716 8935 MOUNTAIN HOME CT,ELK GROVE,95624,CA,4,2,2111,Residential,Fri May 16 00:00:00 EDT 2008,233500,38.38751,-121.370276 2566 SERENATA WAY,SACRAMENTO,95835,CA,3,2,1686,Residential,Fri May 16 00:00:00 EDT 2008,239000,38.671556,-121.520916 4085 COUNTRY DR,ANTELOPE,95843,CA,4,3,1915,Residential,Fri May 16 00:00:00 EDT 2008,240000,38.706209,-121.369509 9297 TROUT WAY,ELK GROVE,95624,CA,4,2,2367,Residential,Fri May 16 00:00:00 EDT 2008,240000,38.420637,-121.375798 7 ARCHIBALD CT,SACRAMENTO,95823,CA,3,2,1962,Residential,Fri May 16 00:00:00 EDT 2008,240971,38.443305,-121.435296 11130 EEL RIVER CT,RANCHO CORDOVA,95670,CA,2,2,1406,Residential,Fri May 16 00:00:00 EDT 2008,242000,38.625932,-121.271517 8323 REDBANK WAY,SACRAMENTO,95829,CA,3,2,1789,Residential,Fri May 16 00:00:00 EDT 2008,243450,38.455753,-121.349273 16 BRONCO CREEK CT,SACRAMENTO,95835,CA,4,2,1876,Residential,Fri May 16 00:00:00 EDT 2008,243500,38.674226,-121.525497 8316 NORTHAM DR,ANTELOPE,95843,CA,3,2,1235,Residential,Fri May 16 00:00:00 EDT 2008,246544,38.720767,-121.376678 4240 WINJE DR,ANTELOPE,95843,CA,4,2,2504,Residential,Fri May 16 00:00:00 EDT 2008,246750,38.70884,-121.359559 3569 SODA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,247000,38.631139,-121.501879 5118 ROBANDER ST,CARMICHAEL,95608,CA,3,2,1676,Residential,Fri May 16 00:00:00 EDT 2008,247000,38.657267,-121.310352 5976 KYLENCH CT,CITRUS HEIGHTS,95621,CA,3,2,1367,Residential,Fri May 16 00:00:00 EDT 2008,249000,38.708966,-121.32467 9247 DELAIR WAY,ELK GROVE,95758,CA,4,3,1899,Residential,Fri May 16 00:00:00 EDT 2008,249000,38.422241,-121.458022 9054 DESCENDANT DR,ELK GROVE,95758,CA,3,2,1636,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.428852,-121.415628 3450 WHITNOR CT,SACRAMENTO,95821,CA,3,2,1828,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.627698,-121.369698 6288 LONETREE BLVD,ROCKLIN,95765,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.804993,-121.293609 9355 MATADOR WAY,SACRAMENTO,95826,CA,4,2,1438,Residential,Fri May 16 00:00:00 EDT 2008,252000,38.555633,-121.350691 8671 SUMMER SUN WAY,ELK GROVE,95624,CA,3,2,1451,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.442845,-121.373272 1890 GENEVA PL,SACRAMENTO,95825,CA,3,1,1520,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.599449,-121.400305 1813 AVENIDA MARTINA,ROSEVILLE,95747,CA,3,2,1506,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.776649,-121.339589 191 BARNHART CIR,SACRAMENTO,95835,CA,4,2,2605,Residential,Fri May 16 00:00:00 EDT 2008,257200,38.675594,-121.515878 6221 GREEN TOP WAY,ORANGEVALE,95662,CA,3,2,1196,Residential,Fri May 16 00:00:00 EDT 2008,260000,38.679409,-121.219107 2298 PRIMROSE LN,LINCOLN,95648,CA,3,2,1621,Residential,Fri May 16 00:00:00 EDT 2008,260000,38.89918,-121.322514 5635 LOS PUEBLOS WAY,SACRAMENTO,95835,CA,3,2,1811,Residential,Fri May 16 00:00:00 EDT 2008,263500,38.679191,-121.537622 10165 LOFTON WAY,ELK GROVE,95757,CA,3,2,1540,Residential,Fri May 16 00:00:00 EDT 2008,266510,38.387708,-121.436522 1251 GREEN RAVINE DR,LINCOLN,95648,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,267750,38.88156,-121.301343 6001 SHOO FLY RD,PLACERVILLE,95667,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,270000,38.813546,-120.809254 3040 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,271000,38.770835,-121.366996 2674 TAM O SHANTER DR,EL DORADO HILLS,95762,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,272700,38.695801,-121.079216 6007 MARYBELLE LN,SHINGLE SPRINGS,95682,CA,0,0,0,Unkown,Fri May 16 00:00:00 EDT 2008,275000,38.64347,-120.888183 9949 NESTLING CIR,ELK GROVE,95757,CA,3,2,1543,Residential,Fri May 16 00:00:00 EDT 2008,275000,38.397455,-121.468391 2915 HOLDREGE WAY,SACRAMENTO,95835,CA,5,3,2494,Residential,Fri May 16 00:00:00 EDT 2008,276000,38.663728,-121.525833 2678 BRIARTON DR,LINCOLN,95648,CA,3,2,1650,Residential,Fri May 16 00:00:00 EDT 2008,276500,38.844116,-121.274806 294 SPARROW DR,GALT,95632,CA,4,3,2214,Residential,Fri May 16 00:00:00 EDT 2008,278000,38.258976,-121.321266 2987 DIORITE WAY,SACRAMENTO,95835,CA,5,3,2280,Residential,Fri May 16 00:00:00 EDT 2008,279000,38.667332,-121.528276 6326 APPIAN WAY,CARMICHAEL,95608,CA,3,2,1443,Residential,Fri May 16 00:00:00 EDT 2008,280000,38.66266,-121.316858 6905 COBALT WAY,CITRUS HEIGHTS,95621,CA,4,2,1582,Residential,Fri May 16 00:00:00 EDT 2008,280000,38.691393,-121.305215 8986 HAFLINGER WAY,ELK GROVE,95757,CA,3,2,1857,Residential,Fri May 16 00:00:00 EDT 2008,285000,38.397923,-121.450219 2916 BABSON DR,ELK GROVE,95758,CA,3,2,1735,Residential,Fri May 16 00:00:00 EDT 2008,288000,38.417191,-121.473897 10133 NEBBIOLO CT,ELK GROVE,95624,CA,4,3,2096,Residential,Fri May 16 00:00:00 EDT 2008,289000,38.391085,-121.347231 1103 COMMONS DR,SACRAMENTO,95825,CA,3,2,1720,Residential,Fri May 16 00:00:00 EDT 2008,290000,38.567865,-121.410699 4636 TEAL BAY CT,ANTELOPE,95843,CA,4,2,2160,Residential,Fri May 16 00:00:00 EDT 2008,290000,38.704554,-121.354753 1524 YOUNGS AVE,SACRAMENTO,95838,CA,4,2,1382,Residential,Fri May 16 00:00:00 EDT 2008,293996,38.644927,-121.43054 865 CONRAD CT,PLACERVILLE,95667,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,294000,38.729993,-120.802458 8463 TERRACOTTA CT,ELK GROVE,95624,CA,4,2,1721,Residential,Fri May 16 00:00:00 EDT 2008,294173,38.450548,-121.363002 5747 KING RD,LOOMIS,95650,CA,4,2,1328,Residential,Fri May 16 00:00:00 EDT 2008,295000,38.825096,-121.198432 8253 KEEGAN WAY,ELK GROVE,95624,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,298000,38.446286,-121.400817 9204 TROUT WAY,ELK GROVE,95624,CA,4,2,1982,Residential,Fri May 16 00:00:00 EDT 2008,298000,38.422221,-121.375799 1828 2ND AVE,SACRAMENTO,95818,CA,2,1,1144,Residential,Fri May 16 00:00:00 EDT 2008,299000,38.556844,-121.490769 1113 COMMONS DR,SACRAMENTO,95825,CA,2,2,1623,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.567795,-121.410703 2341 BIG STRIKE TRL,COOL,95614,CA,3,2,1457,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.905927,-120.975169 9452 RED SPRUCE WAY,ELK GROVE,95624,CA,6,3,2555,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.404505,-121.346938 5776 TERRACE DR,ROCKLIN,95765,CA,3,2,1577,Residential,Fri May 16 00:00:00 EDT 2008,300567,38.800539,-121.260979 5908 MCLEAN DR,ELK GROVE,95757,CA,5,3,2592,Residential,Fri May 16 00:00:00 EDT 2008,303000,38.38912,-121.434389 8215 PEREGRINE WAY,CITRUS HEIGHTS,95610,CA,3,2,1401,Residential,Fri May 16 00:00:00 EDT 2008,305000,38.715493,-121.26293 1104 HILLSDALE LN,LINCOLN,95648,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,306000,38.865017,-121.32302 2949 PANAMA AVE,CARMICHAEL,95608,CA,3,2,1502,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.618369,-121.326187 1356 HARTLEY WAY,FOLSOM,95630,CA,3,2,1327,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.651617,-121.131674 633 HANISCH DR,ROSEVILLE,95678,CA,4,3,1800,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.76349,-121.275881 63 ANGEL ISLAND CIR,SACRAMENTO,95831,CA,4,2,2169,Residential,Fri May 16 00:00:00 EDT 2008,311518,38.490408,-121.547664 1571 WILD OAK LN,LINCOLN,95648,CA,5,3,2457,Residential,Fri May 16 00:00:00 EDT 2008,312000,38.844144,-121.274174 5222 COPPER SUNSET WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,313000,38.529181,-121.224755 5601 SPINDRIFT LN,ORANGEVALE,95662,CA,4,2,2004,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.668289,-121.192316 652 FIFTEEN MILE DR,ROSEVILLE,95678,CA,4,3,2212,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.775872,-121.298864 7921 DOE TRAIL WAY,ANTELOPE,95843,CA,5,3,3134,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.711927,-121.343608 4204 LUSK DR,SACRAMENTO,95864,CA,3,2,1360,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.606569,-121.368424 5321 DELTA DR,ROCKLIN,95765,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.815493,-121.262908 5608 ROSEDALE WAY,SACRAMENTO,95822,CA,3,2,1276,Residential,Fri May 16 00:00:00 EDT 2008,320000,38.525115,-121.518689 3372 BERETANIA WAY,SACRAMENTO,95834,CA,4,3,2962,Residential,Fri May 16 00:00:00 EDT 2008,322000,38.64977,-121.53448 2422 STEFANIE DR,ROCKLIN,95765,CA,4,2,1888,Residential,Fri May 16 00:00:00 EDT 2008,325000,38.82273,-121.26424 3232 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,325500,38.772821,-121.364821 448 ELMWOOD CT,ROSEVILLE,95678,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,326951,38.771917,-121.304439 1214 DAWNWOOD DR,GALT,95632,CA,3,2,1548,Residential,Fri May 16 00:00:00 EDT 2008,328370,38.290119,-121.286023 1440 EMERALD LN,LINCOLN,95648,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,330000,38.861864,-121.267478 3349 CORVINA DR,RANCHO CORDOVA,95670,CA,4,3,2109,Residential,Fri May 16 00:00:00 EDT 2008,330000,38.580545,-121.279016 10254 JULIANA WAY,SACRAMENTO,95827,CA,4,2,2484,Residential,Fri May 16 00:00:00 EDT 2008,331200,38.56803,-121.309966 149 OPUS CIR,SACRAMENTO,95834,CA,4,3,2258,Residential,Fri May 16 00:00:00 EDT 2008,332000,38.6354,-121.53499 580 REGENCY PARK CIR,SACRAMENTO,95835,CA,3,3,2212,Residential,Fri May 16 00:00:00 EDT 2008,334000,38.674864,-121.4958 5544 CAMAS CT,ORANGEVALE,95662,CA,3,2,1616,Residential,Fri May 16 00:00:00 EDT 2008,335000,38.667703,-121.209456 5102 ARCHCREST WAY,SACRAMENTO,95835,CA,4,2,2372,Residential,Fri May 16 00:00:00 EDT 2008,341000,38.66841,-121.494639 5725 BALFOR RD,ROCKLIN,95765,CA,5,3,2606,Residential,Fri May 16 00:00:00 EDT 2008,346375,38.807816,-121.270008 7697 ROSEHALL DR,ROSEVILLE,95678,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,347225,38.79218,-121.28595 4821 HUTSON WAY,ELK GROVE,95757,CA,5,3,2877,Residential,Fri May 16 00:00:00 EDT 2008,349000,38.386239,-121.448159 4509 WINJE DR,ANTELOPE,95843,CA,3,2,2960,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.709513,-121.359357 1965 LAURELHURST LN,LINCOLN,95648,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.853869,-121.271742 6709 ROSE BRIDGE DR,ROSEVILLE,95678,CA,3,2,2172,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.792461,-121.275711 281 SPYGLASS HL,ROSEVILLE,95678,CA,3,2,2100,Condo,Fri May 16 00:00:00 EDT 2008,350000,38.762153,-121.283451 7709 RIVER VILLAGE DR,SACRAMENTO,95831,CA,3,2,1795,Residential,Fri May 16 00:00:00 EDT 2008,351000,38.483212,-121.54019 4165 BRISBANE CIR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,356200,38.686067,-121.073413 506 BEDFORD CT,ROSEVILLE,95661,CA,4,2,2295,Residential,Fri May 16 00:00:00 EDT 2008,360000,38.733985,-121.236766 9048 PINTO CANYON WAY,ROSEVILLE,95747,CA,4,3,2577,Residential,Fri May 16 00:00:00 EDT 2008,367463,38.792493,-121.331899 2274 IVY BRIDGE DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,375000,38.778561,-121.362008 14004 WALNUT AVE,WALNUT GROVE,95690,CA,3,1,1727,Residential,Fri May 16 00:00:00 EDT 2008,380000,38.247659,-121.515129 6905 FRANKFORT CT,ELK GROVE,95758,CA,3,2,1485,Residential,Fri May 16 00:00:00 EDT 2008,380578,38.429139,-121.423444 3621 WINTUN DR,CARMICHAEL,95608,CA,3,2,1655,Residential,Fri May 16 00:00:00 EDT 2008,386222,38.629929,-121.323086 201 KIRKLAND CT,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,389000,38.867125,-121.319085 12075 APPLESBURY CT,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,390000,38.5357,-121.2249 1975 SIDESADDLE WAY,ROSEVILLE,95661,CA,3,2,2049,Residential,Fri May 16 00:00:00 EDT 2008,395500,38.737872,-121.249025 5420 ALMOND FALLS WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,396000,38.527384,-121.233531 9677 PILLITERI CT,ELK GROVE,95757,CA,5,3,2875,Residential,Fri May 16 00:00:00 EDT 2008,397000,38.405571,-121.445186 1515 EL CAMINO VERDE DR,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,400000,38.904869,-121.32075 556 PLATT CIR,EL DORADO HILLS,95762,CA,4,2,2199,Residential,Fri May 16 00:00:00 EDT 2008,400000,38.656299,-121.079783 1792 DIAMOND WOODS CIR,ROSEVILLE,95747,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,412500,38.808581,-121.32785 1124 PERKINS WAY,SACRAMENTO,95818,CA,2,1,1304,Residential,Fri May 16 00:00:00 EDT 2008,413500,38.551611,-121.504437 4748 SALEM WAY,CARMICHAEL,95608,CA,3,2,2334,Residential,Fri May 16 00:00:00 EDT 2008,415000,38.634111,-121.353376 1484 RADCLIFFE WAY,AUBURN,95603,CA,4,3,2278,Residential,Fri May 16 00:00:00 EDT 2008,420454,38.935579,-121.079018 51 AIKEN WAY,SACRAMENTO,95819,CA,3,1,1493,Residential,Fri May 16 00:00:00 EDT 2008,425000,38.579326,-121.44252 2818 KNOLLWOOD DR,CAMERON PARK,95682,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,425000,38.669805,-120.999007 1536 STONEY CROSS LN,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,433500,38.860007,-121.310946 509 CASTILLIAN CT,ROSEVILLE,95747,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,438000,38.804773,-121.341195 700 HUNTER PL,FOLSOM,95630,CA,5,3,2787,Residential,Fri May 16 00:00:00 EDT 2008,441000,38.66051,-121.163689 1240 FAY CIR,SACRAMENTO,95831,CA,5,3,2824,Residential,Fri May 16 00:00:00 EDT 2008,445000,38.506371,-121.514456 1113 SANDWICK WAY,FOLSOM,95630,CA,4,3,3261,Residential,Fri May 16 00:00:00 EDT 2008,446000,38.673882,-121.105077 3108 DELWOOD WAY,SACRAMENTO,95821,CA,4,2,2053,Residential,Fri May 16 00:00:00 EDT 2008,450000,38.621566,-121.370882 3212 CORNICHE LN,ROSEVILLE,95661,CA,4,3,2379,Residential,Fri May 16 00:00:00 EDT 2008,455000,38.750577,-121.232768 2159 BECKETT DR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,460000,38.680092,-121.036467 4320 FOUR SEASONS RD,PLACERVILLE,95667,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,475000,38.690867,-120.693641 6401 MARSHALL RD,GARDEN VALLEY,95633,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,490000,38.84255,-120.8754 2089 BECKETT DR,EL DORADO HILLS,95762,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,493000,38.681778,-121.035838 6196 EDGEHILL DR,EL DORADO HILLS,95762,CA,5,4,0,Residential,Fri May 16 00:00:00 EDT 2008,508000,38.676131,-121.038931 200 HILLSFORD CT,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,511000,38.780051,-121.378718 8217 PLUMERIA AVE,FAIR OAKS,95628,CA,3,2,3173,Residential,Fri May 16 00:00:00 EDT 2008,525000,38.650735,-121.258628 4841 VILLAGE GREEN DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,533000,38.664066,-121.056735 3863 LAS PASAS WAY,SACRAMENTO,95864,CA,3,1,1348,Residential,Fri May 16 00:00:00 EDT 2008,545000,38.588936,-121.373606 820 DANA CT,AUBURN,95603,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,560000,38.865246,-121.094869 1165 37TH ST,SACRAMENTO,95816,CA,2,1,1252,Residential,Fri May 16 00:00:00 EDT 2008,575000,38.568438,-121.457854 203 CASCADE FALLS DR,FOLSOM,95630,CA,4,3,3229,Residential,Fri May 16 00:00:00 EDT 2008,575000,38.703962,-121.1871 9880 IZILDA CT,SACRAMENTO,95829,CA,5,4,3863,Residential,Fri May 16 00:00:00 EDT 2008,598695,38.45326,-121.32573 1800 AVONDALE DR,ROSEVILLE,95747,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.798448,-121.344054 4620 BROMWICH CT,ROCKLIN,95677,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.772672,-121.220232 620 KESWICK CT,GRANITE BAY,95746,CA,4,3,2356,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.732096,-121.219142 4478 GREENBRAE RD,ROCKLIN,95677,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.781134,-121.222801 8432 BRIGGS DR,ROSEVILLE,95747,CA,5,3,3579,Residential,Fri May 16 00:00:00 EDT 2008,610000,38.78861,-121.339495 200 CRADLE MOUNTAIN CT,EL DORADO HILLS,95762,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,622500,38.6478,-121.0309 2065 IMPRESSIONIST WAY,EL DORADO HILLS,95762,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,680000,38.682961,-121.033253 2982 ABERDEEN LN,EL DORADO HILLS,95762,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,879000,38.706692,-121.058869 9401 BARREL RACER CT,WILTON,95693,CA,4,3,4400,Residential,Fri May 16 00:00:00 EDT 2008,884790,38.415298,-121.194858 3720 VISTA DE MADERA,LINCOLN,95648,CA,3,3,0,Residential,Fri May 16 00:00:00 EDT 2008,1551,38.851645,-121.231742 14151 INDIO DR,SLOUGHHOUSE,95683,CA,3,4,5822,Residential,Fri May 16 00:00:00 EDT 2008,2000,38.490447,-121.129337 7401 TOULON LN,SACRAMENTO,95828,CA,4,2,1512,Residential,Thu May 15 00:00:00 EDT 2008,56950,38.488628,-121.387759 9127 NEWHALL DR Unit 34,SACRAMENTO,95826,CA,1,1,611,Condo,Thu May 15 00:00:00 EDT 2008,60000,38.542419,-121.359904 5937 BAMFORD DR,SACRAMENTO,95823,CA,2,1,876,Residential,Thu May 15 00:00:00 EDT 2008,61000,38.471139,-121.432255 5672 HILLSDALE BLVD,SACRAMENTO,95842,CA,2,1,933,Condo,Thu May 15 00:00:00 EDT 2008,62000,38.670467,-121.359799 3920 39TH ST,SACRAMENTO,95820,CA,2,1,864,Residential,Thu May 15 00:00:00 EDT 2008,68566,38.539213,-121.46393 701 JESSIE AVE,SACRAMENTO,95838,CA,2,1,1011,Residential,Thu May 15 00:00:00 EDT 2008,70000,38.643978,-121.449562 83 ARCADE BLVD,SACRAMENTO,95815,CA,4,2,1158,Residential,Thu May 15 00:00:00 EDT 2008,80000,38.618716,-121.466327 601 REGGINALD WAY,SACRAMENTO,95838,CA,3,2,1092,Residential,Thu May 15 00:00:00 EDT 2008,85500,38.64472,-121.452228 550 DEL VERDE CIR,SACRAMENTO,95833,CA,2,1,956,Condo,Thu May 15 00:00:00 EDT 2008,92000,38.627147,-121.500799 4113 DAYSTAR CT,SACRAMENTO,95824,CA,2,2,1139,Residential,Thu May 15 00:00:00 EDT 2008,93600,38.520469,-121.458606 7374 TISDALE WAY,SACRAMENTO,95822,CA,3,1,1058,Residential,Thu May 15 00:00:00 EDT 2008,95000,38.488238,-121.472561 3348 RIO LINDA BLVD,SACRAMENTO,95838,CA,3,2,1040,Residential,Thu May 15 00:00:00 EDT 2008,97750,38.628842,-121.446127 3935 LIMESTONE WAY,SACRAMENTO,95823,CA,3,2,1354,Residential,Thu May 15 00:00:00 EDT 2008,104000,38.484374,-121.463157 6208 GRATTAN WAY,NORTH HIGHLANDS,95660,CA,3,1,1051,Residential,Thu May 15 00:00:00 EDT 2008,105000,38.679279,-121.376615 739 E WOODSIDE LN Unit E,SACRAMENTO,95825,CA,1,1,682,Condo,Thu May 15 00:00:00 EDT 2008,107666,38.578675,-121.409951 4225 46TH AVE,SACRAMENTO,95824,CA,3,1,1161,Residential,Thu May 15 00:00:00 EDT 2008,109000,38.511893,-121.457676 1434 BELL AVE,SACRAMENTO,95838,CA,3,1,1004,Residential,Thu May 15 00:00:00 EDT 2008,110000,38.647398,-121.432914 5628 GEORGIA DR,NORTH HIGHLANDS,95660,CA,3,1,1229,Residential,Thu May 15 00:00:00 EDT 2008,110000,38.669587,-121.379879 7629 BETH ST,SACRAMENTO,95832,CA,3,2,1249,Residential,Thu May 15 00:00:00 EDT 2008,112500,38.480126,-121.487869 2277 BABETTE WAY,SACRAMENTO,95832,CA,3,2,1161,Residential,Thu May 15 00:00:00 EDT 2008,114800,38.479593,-121.48434 6561 WEATHERFORD WAY,SACRAMENTO,95823,CA,3,1,1010,Residential,Thu May 15 00:00:00 EDT 2008,116000,38.465551,-121.42661 3035 ESTEPA DR Unit 5C,CAMERON PARK,95682,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,119000,38.681393,-120.996713 5136 CABOT CIR,SACRAMENTO,95820,CA,4,2,1462,Residential,Thu May 15 00:00:00 EDT 2008,121500,38.528479,-121.411806 7730 ROBINETTE RD,SACRAMENTO,95828,CA,3,2,1269,Residential,Thu May 15 00:00:00 EDT 2008,122000,38.47709,-121.410569 87 LACAM CIR,SACRAMENTO,95820,CA,2,2,1188,Residential,Thu May 15 00:00:00 EDT 2008,123675,38.532359,-121.41167 1691 NOGALES ST,SACRAMENTO,95838,CA,4,2,1570,Residential,Thu May 15 00:00:00 EDT 2008,126854,38.631925,-121.427775 3118 42ND ST,SACRAMENTO,95817,CA,3,2,1093,Residential,Thu May 15 00:00:00 EDT 2008,127059,38.546091,-121.457745 7517 50TH AVE,SACRAMENTO,95828,CA,3,1,962,Residential,Thu May 15 00:00:00 EDT 2008,128687,38.507339,-121.416267 4071 EVALITA WAY,SACRAMENTO,95823,CA,3,2,1089,Residential,Thu May 15 00:00:00 EDT 2008,129500,38.466388,-121.458861 7928 36TH AVE,SACRAMENTO,95824,CA,3,2,1127,Residential,Thu May 15 00:00:00 EDT 2008,130000,38.52049,-121.411383 6631 DEMARET DR,SACRAMENTO,95822,CA,4,2,1309,Residential,Thu May 15 00:00:00 EDT 2008,131750,38.506382,-121.483574 7043 9TH AVE,RIO LINDA,95673,CA,2,1,970,Residential,Thu May 15 00:00:00 EDT 2008,132000,38.695589,-121.444133 97 KENNELFORD CIR,SACRAMENTO,95823,CA,3,2,1144,Residential,Thu May 15 00:00:00 EDT 2008,134000,38.462376,-121.426556 2636 TRONERO WAY,RANCHO CORDOVA,95670,CA,3,1,1000,Residential,Thu May 15 00:00:00 EDT 2008,134000,38.593049,-121.30304 1530 TOPANGA LN Unit 204,LINCOLN,95648,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,138000,38.88415,-121.270277 3604 KODIAK WAY,ANTELOPE,95843,CA,3,2,1206,Residential,Thu May 15 00:00:00 EDT 2008,142000,38.706175,-121.379776 2149 COTTAGE WAY,SACRAMENTO,95825,CA,3,1,1285,Residential,Thu May 15 00:00:00 EDT 2008,143012,38.603593,-121.417011 8632 PRAIRIEWOODS DR,SACRAMENTO,95828,CA,3,2,1543,Residential,Thu May 15 00:00:00 EDT 2008,145846,38.477563,-121.384382 612 STONE BLVD,WEST SACRAMENTO,95691,CA,2,1,884,Residential,Thu May 15 00:00:00 EDT 2008,147000,38.563084,-121.535579 4180 12TH AVE,SACRAMENTO,95817,CA,3,1,1019,Residential,Thu May 15 00:00:00 EDT 2008,148750,38.54117,-121.458129 8025 ARROYO VISTA DR,SACRAMENTO,95823,CA,4,2,1392,Residential,Thu May 15 00:00:00 EDT 2008,150000,38.46654,-121.419029 5754 WALERGA RD Unit 4,SACRAMENTO,95842,CA,2,1,924,Condo,Thu May 15 00:00:00 EDT 2008,150454,38.672567,-121.356754 8 LA ROCAS CT,SACRAMENTO,95823,CA,3,2,1217,Residential,Thu May 15 00:00:00 EDT 2008,151087,38.46616,-121.448283 8636 LONGSPUR WAY,ANTELOPE,95843,CA,3,2,1670,Residential,Thu May 15 00:00:00 EDT 2008,157296,38.725873,-121.35856 1941 EXPEDITION WAY,SACRAMENTO,95832,CA,3,2,1302,Residential,Thu May 15 00:00:00 EDT 2008,157500,38.473775,-121.493777 4351 TURNBRIDGE DR,SACRAMENTO,95823,CA,3,2,1488,Residential,Thu May 15 00:00:00 EDT 2008,160000,38.502034,-121.456027 6513 HOLIDAY WAY,NORTH HIGHLANDS,95660,CA,3,2,1373,Residential,Thu May 15 00:00:00 EDT 2008,160000,38.685361,-121.376938 8321 MISTLETOE WAY,CITRUS HEIGHTS,95621,CA,4,2,1381,Residential,Thu May 15 00:00:00 EDT 2008,161250,38.717738,-121.308322 5920 VALLEY GLEN WAY,SACRAMENTO,95823,CA,3,2,1265,Residential,Thu May 15 00:00:00 EDT 2008,164000,38.462821,-121.433135 2601 SAN FERNANDO WAY,SACRAMENTO,95818,CA,2,1,881,Residential,Thu May 15 00:00:00 EDT 2008,165000,38.556178,-121.476256 501 POPLAR AVE,WEST SACRAMENTO,95691,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,165000,38.584526,-121.534609 8008 SAINT HELENA CT,SACRAMENTO,95829,CA,4,2,1608,Residential,Thu May 15 00:00:00 EDT 2008,165750,38.467012,-121.359969 6517 DONEGAL DR,CITRUS HEIGHTS,95621,CA,3,1,1344,Residential,Thu May 15 00:00:00 EDT 2008,166000,38.681554,-121.312934 1001 RIO NORTE WAY,SACRAMENTO,95834,CA,3,2,1202,Residential,Thu May 15 00:00:00 EDT 2008,169000,38.634292,-121.485106 604 P ST,LINCOLN,95648,CA,3,2,1104,Residential,Thu May 15 00:00:00 EDT 2008,170000,38.893168,-121.305398 10001 WOODCREEK OAKS BLVD Unit 815,ROSEVILLE,95747,CA,2,2,0,Condo,Thu May 15 00:00:00 EDT 2008,170000,38.795529,-121.328819 7351 GIGI PL,SACRAMENTO,95828,CA,4,2,1859,Multi-Family,Thu May 15 00:00:00 EDT 2008,170000,38.490606,-121.410173 7740 DIXIE LOU ST,SACRAMENTO,95832,CA,3,2,1232,Residential,Thu May 15 00:00:00 EDT 2008,170000,38.475853,-121.477039 7342 DAVE ST,SACRAMENTO,95828,CA,3,1,1638,Residential,Thu May 15 00:00:00 EDT 2008,170725,38.490822,-121.401643 7687 HOWERTON DR,SACRAMENTO,95831,CA,2,2,1177,Residential,Thu May 15 00:00:00 EDT 2008,171750,38.480859,-121.539745 26 KAMSON CT,SACRAMENTO,95833,CA,3,2,1582,Residential,Thu May 15 00:00:00 EDT 2008,172000,38.622794,-121.499173 7045 PEEVEY CT,SACRAMENTO,95823,CA,2,2,904,Residential,Thu May 15 00:00:00 EDT 2008,173056,38.502254,-121.451444 8916 GABLES MILL PL,ELK GROVE,95758,CA,3,2,1340,Residential,Thu May 15 00:00:00 EDT 2008,174000,38.433919,-121.422347 1140 EDMONTON DR,SACRAMENTO,95833,CA,3,2,1204,Residential,Thu May 15 00:00:00 EDT 2008,174250,38.62457,-121.486913 8879 APPLE PEAR CT,ELK GROVE,95624,CA,4,2,1477,Residential,Thu May 15 00:00:00 EDT 2008,176850,38.44574,-121.3725 9 WIND CT,SACRAMENTO,95823,CA,4,2,1497,Residential,Thu May 15 00:00:00 EDT 2008,179500,38.45073,-121.427528 8570 SHERATON DR,FAIR OAKS,95628,CA,3,1,960,Residential,Thu May 15 00:00:00 EDT 2008,185000,38.667254,-121.240708 1550 TOPANGA LN Unit 207,LINCOLN,95648,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,188000,38.88417,-121.270222 1080 RIO NORTE WAY,SACRAMENTO,95834,CA,3,2,1428,Residential,Thu May 15 00:00:00 EDT 2008,188700,38.634335,-121.486098 5501 VALLETTA WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Thu May 15 00:00:00 EDT 2008,189000,38.530144,-121.43749 5624 MEMORY LN,FAIR OAKS,95628,CA,3,1,1529,Residential,Thu May 15 00:00:00 EDT 2008,189000,38.66745,-121.2364 6622 WILLOWLEAF DR,CITRUS HEIGHTS,95621,CA,4,3,1892,Residential,Thu May 15 00:00:00 EDT 2008,189836,38.699714,-121.311635 27 MEGAN CT,SACRAMENTO,95838,CA,4,2,1887,Residential,Thu May 15 00:00:00 EDT 2008,190000,38.649258,-121.465308 6601 WOODMORE OAKS DR,ORANGEVALE,95662,CA,3,2,1294,Residential,Thu May 15 00:00:00 EDT 2008,191250,38.687006,-121.254319 1973 DANVERS WAY,SACRAMENTO,95832,CA,3,2,1638,Residential,Thu May 15 00:00:00 EDT 2008,191675,38.477568,-121.492574 8001 ARROYO VISTA DR,SACRAMENTO,95823,CA,3,2,1677,Residential,Thu May 15 00:00:00 EDT 2008,195500,38.46734,-121.419843 7409 VOYAGER WAY,CITRUS HEIGHTS,95621,CA,3,1,1073,Residential,Thu May 15 00:00:00 EDT 2008,198000,38.700717,-121.3133 815 CROSSWIND DR,SACRAMENTO,95838,CA,3,2,1231,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.651386,-121.45042 5509 LAGUNA CREST WAY,ELK GROVE,95758,CA,3,2,1175,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.42442,-121.440357 8424 MERRY HILL WAY,ELK GROVE,95624,CA,3,2,1416,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.452075,-121.366461 1525 PENNSYLVANIA AVE,WEST SACRAMENTO,95691,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,200100,38.569943,-121.527539 5954 BRIDGECROSS DR,SACRAMENTO,95835,CA,3,2,1358,Residential,Thu May 15 00:00:00 EDT 2008,201528,38.68197,-121.500025 8789 SEQUOIA WOOD CT,ELK GROVE,95624,CA,4,2,1609,Residential,Thu May 15 00:00:00 EDT 2008,204750,38.438818,-121.37443 6600 SILVERTHORNE CIR,SACRAMENTO,95842,CA,4,3,1968,Residential,Thu May 15 00:00:00 EDT 2008,205000,38.68607,-121.342369 2221 2ND AVE,SACRAMENTO,95818,CA,2,2,1089,Residential,Thu May 15 00:00:00 EDT 2008,205000,38.555781,-121.485331 3230 SMATHERS WAY,CARMICHAEL,95608,CA,3,2,1296,Residential,Thu May 15 00:00:00 EDT 2008,205900,38.623372,-121.347665 5209 LAGUNA CREST WAY,ELK GROVE,95758,CA,2,2,1189,Residential,Thu May 15 00:00:00 EDT 2008,207000,38.424421,-121.443915 416 LEITCH AVE,SACRAMENTO,95815,CA,2,1,795,Residential,Thu May 15 00:00:00 EDT 2008,207973,38.612694,-121.456669 2100 BEATTY WAY,ROSEVILLE,95747,CA,3,2,1371,Residential,Thu May 15 00:00:00 EDT 2008,208250,38.737882,-121.308142 6920 GILLINGHAM WAY,NORTH HIGHLANDS,95660,CA,3,1,1310,Residential,Thu May 15 00:00:00 EDT 2008,208318,38.694279,-121.373395 82 WILDFLOWER DR,GALT,95632,CA,3,2,1262,Residential,Thu May 15 00:00:00 EDT 2008,209347,38.259708,-121.311616 8652 BANTON CIR,ELK GROVE,95624,CA,4,2,1740,Residential,Thu May 15 00:00:00 EDT 2008,211500,38.444,-121.370993 8428 MISTY PASS WAY,ANTELOPE,95843,CA,3,2,1517,Residential,Thu May 15 00:00:00 EDT 2008,212000,38.722959,-121.347115 7958 ROSEVIEW WAY,SACRAMENTO,95828,CA,3,2,1450,Residential,Thu May 15 00:00:00 EDT 2008,213000,38.467836,-121.410366 9020 LUKEN CT,ELK GROVE,95624,CA,3,2,1416,Residential,Thu May 15 00:00:00 EDT 2008,216000,38.451398,-121.366614 7809 VALLECITOS WAY,SACRAMENTO,95828,CA,3,1,888,Residential,Thu May 15 00:00:00 EDT 2008,216021,38.508217,-121.411207 8445 OLD AUBURN RD,CITRUS HEIGHTS,95610,CA,3,2,1882,Residential,Thu May 15 00:00:00 EDT 2008,219000,38.715423,-121.246743 10085 ATKINS DR,ELK GROVE,95757,CA,3,2,1302,Residential,Thu May 15 00:00:00 EDT 2008,219794,38.390893,-121.437821 9185 CERROLINDA CIR,ELK GROVE,95758,CA,3,2,1418,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.424497,-121.426595 9197 CORTINA CIR,ROSEVILLE,95678,CA,3,2,0,Condo,Thu May 15 00:00:00 EDT 2008,220000,38.793152,-121.290025 5429 HESPER WAY,CARMICHAEL,95608,CA,4,2,1319,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.665104,-121.315901 1178 WARMWOOD CT,GALT,95632,CA,4,2,1770,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.289544,-121.284607 4900 ELUDE CT,SACRAMENTO,95842,CA,4,2,1627,Residential,Thu May 15 00:00:00 EDT 2008,223000,38.69674,-121.350519 3557 SODA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,224000,38.631026,-121.501879 3528 SAINT GEORGE DR,SACRAMENTO,95821,CA,3,1,1040,Residential,Thu May 15 00:00:00 EDT 2008,224000,38.629468,-121.376445 7381 WASHBURN WAY,NORTH HIGHLANDS,95660,CA,3,1,960,Residential,Thu May 15 00:00:00 EDT 2008,224252,38.70355,-121.375103 2181 WINTERHAVEN CIR,CAMERON PARK,95682,CA,3,2,0,Residential,Thu May 15 00:00:00 EDT 2008,224500,38.69757,-120.995739 7540 HICKORY AVE,ORANGEVALE,95662,CA,3,1,1456,Residential,Thu May 15 00:00:00 EDT 2008,225000,38.703056,-121.235221 5024 CHAMBERLIN CIR,ELK GROVE,95757,CA,3,2,1450,Residential,Thu May 15 00:00:00 EDT 2008,228000,38.389756,-121.446246 2400 INVERNESS DR,LINCOLN,95648,CA,3,2,1358,Residential,Thu May 15 00:00:00 EDT 2008,229027,38.897814,-121.324691 5 BISHOPGATE CT,SACRAMENTO,95823,CA,4,2,1329,Residential,Thu May 15 00:00:00 EDT 2008,229500,38.467936,-121.445477 5601 REXLEIGH DR,SACRAMENTO,95823,CA,4,2,1715,Residential,Thu May 15 00:00:00 EDT 2008,230000,38.445342,-121.441504 1909 YARNELL WAY,ELK GROVE,95758,CA,3,2,1262,Residential,Thu May 15 00:00:00 EDT 2008,230000,38.417382,-121.484325 9169 GARLINGTON CT,SACRAMENTO,95829,CA,4,3,2280,Residential,Thu May 15 00:00:00 EDT 2008,232425,38.457679,-121.35962 6932 RUSKUT WAY,SACRAMENTO,95823,CA,3,2,1477,Residential,Thu May 15 00:00:00 EDT 2008,234000,38.499893,-121.45889 7933 DAFFODIL WAY,CITRUS HEIGHTS,95610,CA,3,2,1216,Residential,Thu May 15 00:00:00 EDT 2008,235000,38.708824,-121.256803 8304 RED FOX WAY,ELK GROVE,95758,CA,4,2,1685,Residential,Thu May 15 00:00:00 EDT 2008,235301,38.417,-121.397424 3882 YELLOWSTONE LN,EL DORADO HILLS,95762,CA,3,2,1362,Residential,Thu May 15 00:00:00 EDT 2008,235738,38.655245,-121.075915 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7ÜpäÕ¢[n¹%l׎¡·çV©»6þü¸÷Þ{cúôéÝ>¬zØìÙ³#¿×~U_έRwíÃþpìÛ·/.»ì²¨¯¯Ý»wDzeËbÓ¦MÑÖÖûØÇ"®ýª¾œ[¥îÚñL›6-ž{î¹ø¯ÿú¯#×ìÛ)ÿ³+ÏJŸûÜçJ#GŽ,{î¹¥)S¦”~ðƒt{Îœ9sJÕÕÕ¥íÛ·w»þüóÏ—þàþ 4lØ°ÒÀK—_~yÅütÒÞžÛí·ß^z÷»ß]:théì³Ï.]pÁ¥›nº©´gÏžì/!Ý\Pªªª*UUU•ª««KÕÕÕGþ÷á3²kGëí¹Uê®M›6íÈýê¯êêê#ϳkÝõåÜ*u×þîïþ®ôÛ¿ýÛ¥#F”Î:ë¬Rmmméšk®)­ZµªÛóìZw}9·Jݵã™6mZiüøñݮٷ¾ó Æg@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4ÿܬ™SÓS–§IEND®B`‚snakemake-6.15.1/tests/test_report_dir/000077500000000000000000000000001417574166400201345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_dir/Snakefile000066400000000000000000000003651417574166400217640ustar00rootroot00000000000000shell.executable("bash") rule a: output: report(directory("test"), caption="caption.rst", htmlindex="test.html") shell: "mkdir test; cp template.html test/test.html; mkdir test/js; echo \"alert('test')\" > test/js/test.js" snakemake-6.15.1/tests/test_report_dir/caption.rst000066400000000000000000000000141417574166400223160ustar00rootroot00000000000000the caption snakemake-6.15.1/tests/test_report_dir/expected-results/000077500000000000000000000000001417574166400234345ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_dir/expected-results/report.zip000066400000000000000000050562131417574166400255070ustar00rootroot00000000000000PK|/QTÝ0hhZreport/data/raw/94800a2c52169659e5a53b6f4ce10ef4fb1a53fb1d6bec7a0277b2ea75680190/test.html Test HTML from directory PK|/Q” ô[report/data/raw/94800a2c52169659e5a53b6f4ce10ef4fb1a53fb1d6bec7a0277b2ea75680190/js/test.jsalert('test') PK"|/Qò;8yYYreport/report.html Snakemake Report

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If the workflow has been executed in cluster/cloud, runtimes include the waiting time in the queue.

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> testdir/$x.txt\n done\n ", "incomplete": false, "starttime": 1585317518.3560374, "endtime": 1585317518.3680375, "job_hash": 2045751853232800755, "conda_env": null, "container_img_url": null}snakemake-6.15.1/tests/test_report_zip/Snakefile000066400000000000000000000023701417574166400220060ustar00rootroot00000000000000 report: "report/workflow.rst" shell.executable("bash") rule all: input: ["fig1.svg", "testmodel.fig2.png", "test.csv", "testdir"] rule c: output: "test.{i}.out" singularity: "docker://continuumio/miniconda3:4.4.10" conda: "envs/test.yaml" shell: "sleep `shuf -i 1-3 -n 1`; touch {output}" rule a: input: expand("test.{i}.out", i=range(10)) output: report("fig1.svg", caption="report/fig1.rst", category="Step 1") shell: "sleep `shuf -i 1-3 -n 1`; cp data/fig1.svg {output}" rule b: input: expand("test.{i}.out", i=range(10)) output: report("{model}.fig2.png", caption="report/fig2.rst", category="Step 2", subcategory="{model}") shell: "sleep `shuf -i 1-3 -n 1`; cp data/fig2.png 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Tabular results
street city zip state beds baths sq__ft type sale_date price latitude longitude
PKKW†PØ[tYYreport/report.html Snakemake Report

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Workflow

This is the workflow description. Test reference fig1.svg.

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Step 1

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testmodel

Statistics

If the workflow has been executed in cluster/cloud, runtimes include the waiting time in the queue.

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This file starts with {{ snakemake.wildcards.name }}. This value has been dynamically inferred from the given pattern.snakemake-6.15.1/tests/test_report_zip/report/workflow.rst000066400000000000000000000000741417574166400241000ustar00rootroot00000000000000This is the workflow description. Test reference fig1.svg_. snakemake-6.15.1/tests/test_report_zip/test.0.out000066400000000000000000000000001417574166400220140ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.1.out000066400000000000000000000000001417574166400220150ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.2.out000066400000000000000000000000001417574166400220160ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.3.out000066400000000000000000000000001417574166400220170ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.4.out000066400000000000000000000000001417574166400220200ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.5.out000066400000000000000000000000001417574166400220210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.6.out000066400000000000000000000000001417574166400220220ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.7.out000066400000000000000000000000001417574166400220230ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.8.out000066400000000000000000000000001417574166400220240ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.9.out000066400000000000000000000000001417574166400220250ustar00rootroot00000000000000snakemake-6.15.1/tests/test_report_zip/test.csv000066400000000000000000003350371417574166400216670ustar00rootroot00000000000000street,city,zip,state,beds,baths,sq__ft,type,sale_date,price,latitude,longitude 3526 HIGH ST,SACRAMENTO,95838,CA,2,1,836,Residential,Wed May 21 00:00:00 EDT 2008,59222,38.631913,-121.434879 51 OMAHA CT,SACRAMENTO,95823,CA,3,1,1167,Residential,Wed May 21 00:00:00 EDT 2008,68212,38.478902,-121.431028 2796 BRANCH ST,SACRAMENTO,95815,CA,2,1,796,Residential,Wed May 21 00:00:00 EDT 2008,68880,38.618305,-121.443839 2805 JANETTE WAY,SACRAMENTO,95815,CA,2,1,852,Residential,Wed May 21 00:00:00 EDT 2008,69307,38.616835,-121.439146 6001 MCMAHON DR,SACRAMENTO,95824,CA,2,1,797,Residential,Wed May 21 00:00:00 EDT 2008,81900,38.51947,-121.435768 5828 PEPPERMILL CT,SACRAMENTO,95841,CA,3,1,1122,Condo,Wed May 21 00:00:00 EDT 2008,89921,38.662595,-121.327813 6048 OGDEN NASH WAY,SACRAMENTO,95842,CA,3,2,1104,Residential,Wed May 21 00:00:00 EDT 2008,90895,38.681659,-121.351705 2561 19TH AVE,SACRAMENTO,95820,CA,3,1,1177,Residential,Wed May 21 00:00:00 EDT 2008,91002,38.535092,-121.481367 11150 TRINITY RIVER DR Unit 114,RANCHO CORDOVA,95670,CA,2,2,941,Condo,Wed May 21 00:00:00 EDT 2008,94905,38.621188,-121.270555 7325 10TH ST,RIO LINDA,95673,CA,3,2,1146,Residential,Wed May 21 00:00:00 EDT 2008,98937,38.700909,-121.442979 645 MORRISON AVE,SACRAMENTO,95838,CA,3,2,909,Residential,Wed May 21 00:00:00 EDT 2008,100309,38.637663,-121.45152 4085 FAWN CIR,SACRAMENTO,95823,CA,3,2,1289,Residential,Wed May 21 00:00:00 EDT 2008,106250,38.470746,-121.458918 2930 LA ROSA RD,SACRAMENTO,95815,CA,1,1,871,Residential,Wed May 21 00:00:00 EDT 2008,106852,38.618698,-121.435833 2113 KIRK WAY,SACRAMENTO,95822,CA,3,1,1020,Residential,Wed May 21 00:00:00 EDT 2008,107502,38.482215,-121.492603 4533 LOCH HAVEN WAY,SACRAMENTO,95842,CA,2,2,1022,Residential,Wed May 21 00:00:00 EDT 2008,108750,38.672914,-121.35934 7340 HAMDEN PL,SACRAMENTO,95842,CA,2,2,1134,Condo,Wed May 21 00:00:00 EDT 2008,110700,38.700051,-121.351278 6715 6TH ST,RIO LINDA,95673,CA,2,1,844,Residential,Wed May 21 00:00:00 EDT 2008,113263,38.689591,-121.452239 6236 LONGFORD DR Unit 1,CITRUS HEIGHTS,95621,CA,2,1,795,Condo,Wed May 21 00:00:00 EDT 2008,116250,38.679776,-121.314089 250 PERALTA AVE,SACRAMENTO,95833,CA,2,1,588,Residential,Wed May 21 00:00:00 EDT 2008,120000,38.612099,-121.469095 113 LEEWILL AVE,RIO LINDA,95673,CA,3,2,1356,Residential,Wed May 21 00:00:00 EDT 2008,121630,38.689999,-121.46322 6118 STONEHAND AVE,CITRUS HEIGHTS,95621,CA,3,2,1118,Residential,Wed May 21 00:00:00 EDT 2008,122000,38.707851,-121.320707 4882 BANDALIN WAY,SACRAMENTO,95823,CA,4,2,1329,Residential,Wed May 21 00:00:00 EDT 2008,122682,38.468173,-121.444071 7511 OAKVALE CT,NORTH HIGHLANDS,95660,CA,4,2,1240,Residential,Wed May 21 00:00:00 EDT 2008,123000,38.702792,-121.38221 9 PASTURE CT,SACRAMENTO,95834,CA,3,2,1601,Residential,Wed May 21 00:00:00 EDT 2008,124100,38.628631,-121.488097 3729 BAINBRIDGE DR,NORTH HIGHLANDS,95660,CA,3,2,901,Residential,Wed May 21 00:00:00 EDT 2008,125000,38.701499,-121.37622 3828 BLACKFOOT WAY,ANTELOPE,95843,CA,3,2,1088,Residential,Wed May 21 00:00:00 EDT 2008,126640,38.70974,-121.37377 4108 NORTON WAY,SACRAMENTO,95820,CA,3,1,963,Residential,Wed May 21 00:00:00 EDT 2008,127281,38.537526,-121.478315 1469 JANRICK AVE,SACRAMENTO,95832,CA,3,2,1119,Residential,Wed May 21 00:00:00 EDT 2008,129000,38.476472,-121.501711 9861 CULP WAY,SACRAMENTO,95827,CA,4,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,131200,38.558423,-121.327948 7825 CREEK VALLEY CIR,SACRAMENTO,95828,CA,3,2,1248,Residential,Wed May 21 00:00:00 EDT 2008,132000,38.472122,-121.404199 5201 LAGUNA OAKS DR Unit 140,ELK GROVE,95758,CA,2,2,1039,Condo,Wed May 21 00:00:00 EDT 2008,133000,38.423251,-121.444489 6768 MEDORA DR,NORTH HIGHLANDS,95660,CA,3,2,1152,Residential,Wed May 21 00:00:00 EDT 2008,134555,38.691161,-121.37192 3100 EXPLORER DR,SACRAMENTO,95827,CA,3,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,136500,38.566663,-121.332644 7944 DOMINION WAY,ELVERTA,95626,CA,3,2,1116,Residential,Wed May 21 00:00:00 EDT 2008,138750,38.713182,-121.411227 5201 LAGUNA OAKS DR Unit 162,ELK GROVE,95758,CA,2,2,1039,Condo,Wed May 21 00:00:00 EDT 2008,141000,38.423251,-121.444489 3920 SHINING STAR DR,SACRAMENTO,95823,CA,3,2,1418,Residential,Wed May 21 00:00:00 EDT 2008,146250,38.48742,-121.462459 5031 CORVAIR ST,NORTH HIGHLANDS,95660,CA,3,2,1082,Residential,Wed May 21 00:00:00 EDT 2008,147308,38.658246,-121.375469 7661 NIXOS WAY,SACRAMENTO,95823,CA,4,2,1472,Residential,Wed May 21 00:00:00 EDT 2008,148750,38.479553,-121.463317 7044 CARTHY WAY,SACRAMENTO,95828,CA,4,2,1146,Residential,Wed May 21 00:00:00 EDT 2008,149593,38.49857,-121.420925 2442 LARKSPUR LN,SACRAMENTO,95825,CA,1,1,760,Condo,Wed May 21 00:00:00 EDT 2008,150000,38.58514,-121.403736 4800 WESTLAKE PKWY Unit 2109,SACRAMENTO,95835,CA,2,2,1304,Condo,Wed May 21 00:00:00 EDT 2008,152000,38.658812,-121.542345 2178 63RD AVE,SACRAMENTO,95822,CA,3,2,1207,Residential,Wed May 21 00:00:00 EDT 2008,154000,38.493955,-121.48966 8718 ELK WAY,ELK GROVE,95624,CA,3,2,1056,Residential,Wed May 21 00:00:00 EDT 2008,156896,38.41653,-121.379653 5708 RIDGEPOINT DR,ANTELOPE,95843,CA,2,2,1043,Residential,Wed May 21 00:00:00 EDT 2008,161250,38.72027,-121.331555 7315 KOALA CT,NORTH HIGHLANDS,95660,CA,4,2,1587,Residential,Wed May 21 00:00:00 EDT 2008,161500,38.699251,-121.371414 2622 ERIN DR,SACRAMENTO,95833,CA,4,1,1120,Residential,Wed May 21 00:00:00 EDT 2008,164000,38.613765,-121.488694 8421 SUNBLAZE WAY,SACRAMENTO,95823,CA,4,2,1580,Residential,Wed May 21 00:00:00 EDT 2008,165000,38.450543,-121.432538 7420 ALIX PKWY,SACRAMENTO,95823,CA,4,1,1955,Residential,Wed May 21 00:00:00 EDT 2008,166357,38.489405,-121.452811 3820 NATOMA WAY,SACRAMENTO,95838,CA,4,2,1656,Residential,Wed May 21 00:00:00 EDT 2008,166357,38.636748,-121.422159 4431 GREEN TREE DR,SACRAMENTO,95823,CA,3,2,1477,Residential,Wed May 21 00:00:00 EDT 2008,168000,38.499954,-121.454469 9417 SARA ST,ELK GROVE,95624,CA,3,2,1188,Residential,Wed May 21 00:00:00 EDT 2008,170000,38.415518,-121.370527 8299 HALBRITE WAY,SACRAMENTO,95828,CA,4,2,1590,Residential,Wed May 21 00:00:00 EDT 2008,173000,38.473814,-121.4 7223 KALLIE KAY LN,SACRAMENTO,95823,CA,3,2,1463,Residential,Wed May 21 00:00:00 EDT 2008,174250,38.477553,-121.419463 8156 STEINBECK WAY,SACRAMENTO,95828,CA,4,2,1714,Residential,Wed May 21 00:00:00 EDT 2008,174313,38.474853,-121.406326 7957 VALLEY GREEN DR,SACRAMENTO,95823,CA,3,2,1185,Residential,Wed May 21 00:00:00 EDT 2008,178480,38.465184,-121.434925 1122 WILD POPPY CT,GALT,95632,CA,3,2,1406,Residential,Wed May 21 00:00:00 EDT 2008,178760,38.287789,-121.294715 4520 BOMARK WAY,SACRAMENTO,95842,CA,4,2,1943,Multi-Family,Wed May 21 00:00:00 EDT 2008,179580,38.665724,-121.358576 9012 KIEFER BLVD,SACRAMENTO,95826,CA,3,2,1172,Residential,Wed May 21 00:00:00 EDT 2008,181000,38.547011,-121.366217 5332 SANDSTONE ST,CARMICHAEL,95608,CA,3,1,1152,Residential,Wed May 21 00:00:00 EDT 2008,181872,38.662105,-121.313945 5993 SAWYER CIR,SACRAMENTO,95823,CA,4,3,1851,Residential,Wed May 21 00:00:00 EDT 2008,182587,38.4473,-121.435218 4844 CLYDEBANK WAY,ANTELOPE,95843,CA,3,2,1215,Residential,Wed May 21 00:00:00 EDT 2008,182716,38.714609,-121.347887 306 CAMELLIA WAY,GALT,95632,CA,3,2,1130,Residential,Wed May 21 00:00:00 EDT 2008,182750,38.260443,-121.297864 9021 MADISON AVE,ORANGEVALE,95662,CA,4,2,1603,Residential,Wed May 21 00:00:00 EDT 2008,183200,38.664186,-121.217511 404 6TH ST,GALT,95632,CA,3,1,1479,Residential,Wed May 21 00:00:00 EDT 2008,188741,38.251808,-121.302493 8317 SUNNY CREEK WAY,SACRAMENTO,95823,CA,3,2,1420,Residential,Wed May 21 00:00:00 EDT 2008,189000,38.459041,-121.424644 2617 BASS CT,SACRAMENTO,95826,CA,3,2,1280,Residential,Wed May 21 00:00:00 EDT 2008,192067,38.560767,-121.377471 7005 TIANT WAY,ELK GROVE,95758,CA,3,2,1586,Residential,Wed May 21 00:00:00 EDT 2008,194000,38.422811,-121.423285 7895 CABER WAY,ANTELOPE,95843,CA,3,2,1362,Residential,Wed May 21 00:00:00 EDT 2008,194818,38.711279,-121.393449 7624 BOGEY CT,SACRAMENTO,95828,CA,4,4,2162,Multi-Family,Wed May 21 00:00:00 EDT 2008,195000,38.48009,-121.415102 6930 HAMPTON COVE WAY,SACRAMENTO,95823,CA,3,2,1266,Residential,Wed May 21 00:00:00 EDT 2008,198000,38.44004,-121.421012 8708 MESA BROOK WAY,ELK GROVE,95624,CA,4,2,1715,Residential,Wed May 21 00:00:00 EDT 2008,199500,38.44076,-121.385792 120 GRANT LN,FOLSOM,95630,CA,3,2,1820,Residential,Wed May 21 00:00:00 EDT 2008,200000,38.687742,-121.17104 5907 ELLERSLEE DR,CARMICHAEL,95608,CA,3,1,936,Residential,Wed May 21 00:00:00 EDT 2008,200000,38.664468,-121.32683 17 SERASPI CT,SACRAMENTO,95834,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,206000,38.631481,-121.50188 170 PENHOW CIR,SACRAMENTO,95834,CA,3,2,1511,Residential,Wed May 21 00:00:00 EDT 2008,208000,38.653439,-121.535169 8345 STAR THISTLE WAY,SACRAMENTO,95823,CA,4,2,1590,Residential,Wed May 21 00:00:00 EDT 2008,212864,38.454349,-121.439239 9080 FRESCA WAY,ELK GROVE,95758,CA,4,2,1596,Residential,Wed May 21 00:00:00 EDT 2008,221000,38.427818,-121.424026 391 NATALINO CIR,SACRAMENTO,95835,CA,2,2,1341,Residential,Wed May 21 00:00:00 EDT 2008,221000,38.67307,-121.506373 8373 BLACKMAN WAY,ELK GROVE,95624,CA,5,3,2136,Residential,Wed May 21 00:00:00 EDT 2008,223058,38.435436,-121.394536 9837 CORTE DORADO CT,ELK GROVE,95624,CA,4,2,1616,Residential,Wed May 21 00:00:00 EDT 2008,227887,38.400676,-121.38101 5037 J PKWY,SACRAMENTO,95823,CA,3,2,1478,Residential,Wed May 21 00:00:00 EDT 2008,231477,38.491399,-121.443547 10245 LOS PALOS DR,RANCHO CORDOVA,95670,CA,3,2,1287,Residential,Wed May 21 00:00:00 EDT 2008,234697,38.593699,-121.31089 6613 NAVION DR,CITRUS HEIGHTS,95621,CA,4,2,1277,Residential,Wed May 21 00:00:00 EDT 2008,235000,38.702855,-121.31308 2887 AZEVEDO DR,SACRAMENTO,95833,CA,4,2,1448,Residential,Wed May 21 00:00:00 EDT 2008,236000,38.618457,-121.509439 9186 KINBRACE CT,SACRAMENTO,95829,CA,4,3,2235,Residential,Wed May 21 00:00:00 EDT 2008,236685,38.463355,-121.358936 4243 MIDDLEBURY WAY,MATHER,95655,CA,3,2,2093,Residential,Wed May 21 00:00:00 EDT 2008,237800,38.547991,-121.280483 1028 FALLON PLACE CT,RIO LINDA,95673,CA,3,2,1193,Residential,Wed May 21 00:00:00 EDT 2008,240122,38.693818,-121.441153 4804 NORIKER DR,ELK GROVE,95757,CA,3,2,2163,Residential,Wed May 21 00:00:00 EDT 2008,242638,38.400974,-121.448424 7713 HARVEST WOODS DR,SACRAMENTO,95828,CA,3,2,1269,Residential,Wed May 21 00:00:00 EDT 2008,244000,38.478198,-121.412911 2866 KARITSA AVE,SACRAMENTO,95833,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,244500,38.626671,-121.52597 6913 RICHEVE WAY,SACRAMENTO,95828,CA,3,1,958,Residential,Wed May 21 00:00:00 EDT 2008,244960,38.502519,-121.420769 8636 TEGEA WAY,ELK GROVE,95624,CA,5,3,2508,Residential,Wed May 21 00:00:00 EDT 2008,245918,38.443832,-121.382087 5448 MAIDSTONE WAY,CITRUS HEIGHTS,95621,CA,3,2,1305,Residential,Wed May 21 00:00:00 EDT 2008,250000,38.665395,-121.293288 18 OLLIE CT,ELK GROVE,95758,CA,4,2,1591,Residential,Wed May 21 00:00:00 EDT 2008,250000,38.444909,-121.412345 4010 ALEX LN,CARMICHAEL,95608,CA,2,2,1326,Condo,Wed May 21 00:00:00 EDT 2008,250134,38.637028,-121.312963 4901 MILLNER WAY,ELK GROVE,95757,CA,3,2,1843,Residential,Wed May 21 00:00:00 EDT 2008,254200,38.38692,-121.447349 4818 BRITTNEY LEE CT,SACRAMENTO,95841,CA,4,2,1921,Residential,Wed May 21 00:00:00 EDT 2008,254200,38.653917,-121.34218 5529 LAGUNA PARK DR,ELK GROVE,95758,CA,5,3,2790,Residential,Wed May 21 00:00:00 EDT 2008,258000,38.42568,-121.438062 230 CANDELA CIR,SACRAMENTO,95835,CA,3,2,1541,Residential,Wed May 21 00:00:00 EDT 2008,260000,38.656251,-121.547572 4900 71ST ST,SACRAMENTO,95820,CA,3,1,1018,Residential,Wed May 21 00:00:00 EDT 2008,260014,38.53151,-121.421089 12209 CONSERVANCY WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,263500,38.553867,-121.219141 4236 NATOMAS CENTRAL DR,SACRAMENTO,95834,CA,3,2,1672,Condo,Wed May 21 00:00:00 EDT 2008,265000,38.648879,-121.544023 5615 LUPIN LN,POLLOCK PINES,95726,CA,3,2,1380,Residential,Wed May 21 00:00:00 EDT 2008,265000,38.708315,-120.603872 5625 JAMES WAY,SACRAMENTO,95822,CA,3,1,975,Residential,Wed May 21 00:00:00 EDT 2008,271742,38.523947,-121.484946 7842 LAHONTAN CT,SACRAMENTO,95829,CA,4,3,2372,Residential,Wed May 21 00:00:00 EDT 2008,273750,38.472976,-121.318633 6850 21ST ST,SACRAMENTO,95822,CA,3,2,1446,Residential,Wed May 21 00:00:00 EDT 2008,275086,38.502194,-121.490795 2900 BLAIR RD,POLLOCK PINES,95726,CA,2,2,1284,Residential,Wed May 21 00:00:00 EDT 2008,280908,38.75485,-120.60476 2064 EXPEDITION WAY,SACRAMENTO,95832,CA,4,3,3009,Residential,Wed May 21 00:00:00 EDT 2008,280987,38.474099,-121.490711 2912 NORCADE CIR,SACRAMENTO,95826,CA,8,4,3612,Multi-Family,Wed May 21 00:00:00 EDT 2008,282400,38.559505,-121.364839 9507 SEA CLIFF WAY,ELK GROVE,95758,CA,4,2,2056,Residential,Wed May 21 00:00:00 EDT 2008,285000,38.410992,-121.479043 8882 AUTUMN GOLD CT,ELK GROVE,95624,CA,4,2,1993,Residential,Wed May 21 00:00:00 EDT 2008,287417,38.4439,-121.37255 5322 WHITE LOTUS WAY,ELK GROVE,95757,CA,3,2,1857,Residential,Wed May 21 00:00:00 EDT 2008,291000,38.391538,-121.442596 1838 CASTRO WAY,SACRAMENTO,95818,CA,2,1,1126,Residential,Wed May 21 00:00:00 EDT 2008,292024,38.556098,-121.490787 10158 CRAWFORD WAY,SACRAMENTO,95827,CA,4,4,2213,Multi-Family,Wed May 21 00:00:00 EDT 2008,297000,38.5703,-121.315735 7731 MASTERS ST,ELK GROVE,95758,CA,5,3,2494,Residential,Wed May 21 00:00:00 EDT 2008,297000,38.442031,-121.410873 4925 PERCHERON DR,ELK GROVE,95757,CA,3,2,1843,Residential,Wed May 21 00:00:00 EDT 2008,298000,38.40154,-121.447649 2010 PROMONTORY POINT LN,GOLD RIVER,95670,CA,2,2,1520,Residential,Wed May 21 00:00:00 EDT 2008,299000,38.62869,-121.261669 4727 SAVOIE WAY,SACRAMENTO,95835,CA,5,3,2800,Residential,Wed May 21 00:00:00 EDT 2008,304037,38.658182,-121.549521 8664 MAGNOLIA HILL WAY,ELK GROVE,95624,CA,4,2,2309,Residential,Wed May 21 00:00:00 EDT 2008,311000,38.442352,-121.389675 9570 HARVEST ROSE WAY,SACRAMENTO,95827,CA,5,3,2367,Residential,Wed May 21 00:00:00 EDT 2008,315537,38.555993,-121.340352 4359 CREGAN CT,RANCHO CORDOVA,95742,CA,5,4,3516,Residential,Wed May 21 00:00:00 EDT 2008,320000,38.545128,-121.224922 5337 DUSTY ROSE WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,320000,38.528575,-121.2286 8929 SUTTERS GOLD DR,SACRAMENTO,95826,CA,4,3,1914,Residential,Wed May 21 00:00:00 EDT 2008,328360,38.550848,-121.370224 8025 PEERLESS AVE,ORANGEVALE,95662,CA,2,1,1690,Residential,Wed May 21 00:00:00 EDT 2008,334150,38.71147,-121.216214 4620 WELERA WAY,ELK GROVE,95757,CA,3,3,2725,Residential,Wed May 21 00:00:00 EDT 2008,335750,38.398609,-121.450148 9723 TERRAPIN CT,ELK GROVE,95757,CA,4,3,2354,Residential,Wed May 21 00:00:00 EDT 2008,335750,38.403492,-121.430224 2115 SMOKESTACK WAY,SACRAMENTO,95833,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,339500,38.602416,-121.542965 100 REBECCA WAY,FOLSOM,95630,CA,3,2,2185,Residential,Wed May 21 00:00:00 EDT 2008,344250,38.68479,-121.149199 9488 OAK VILLAGE WAY,ELK GROVE,95758,CA,4,2,1801,Residential,Wed May 21 00:00:00 EDT 2008,346210,38.41333,-121.404999 8495 DARTFORD DR,SACRAMENTO,95823,CA,3,3,1961,Residential,Wed May 21 00:00:00 EDT 2008,347029,38.448507,-121.421346 6708 PONTA DO SOL WAY,ELK GROVE,95757,CA,4,2,3134,Residential,Wed May 21 00:00:00 EDT 2008,347650,38.380635,-121.425538 4143 SEA MEADOW WAY,SACRAMENTO,95823,CA,4,3,1915,Residential,Wed May 21 00:00:00 EDT 2008,351300,38.46534,-121.457519 3020 RICHARDSON CIR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Wed May 21 00:00:00 EDT 2008,352000,38.691299,-121.081752 8082 LINDA ISLE LN,SACRAMENTO,95831,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,370000,38.4772,-121.5215 15300 MURIETA SOUTH PKWY,RANCHO MURIETA,95683,CA,4,3,2734,Residential,Wed May 21 00:00:00 EDT 2008,370500,38.4874,-121.075129 11215 SHARRMONT CT,WILTON,95693,CA,3,2,2110,Residential,Wed May 21 00:00:00 EDT 2008,372000,38.35062,-121.228349 7105 DANBERG WAY,ELK GROVE,95757,CA,5,3,3164,Residential,Wed May 21 00:00:00 EDT 2008,375000,38.4019,-121.420388 5579 JERRY LITELL WAY,SACRAMENTO,95835,CA,5,3,3599,Residential,Wed May 21 00:00:00 EDT 2008,381300,38.677126,-121.500519 1050 FOXHALL WAY,SACRAMENTO,95831,CA,4,2,2054,Residential,Wed May 21 00:00:00 EDT 2008,381942,38.509819,-121.519661 7837 ABBINGTON WAY,ANTELOPE,95843,CA,4,2,1830,Residential,Wed May 21 00:00:00 EDT 2008,387731,38.709873,-121.339472 1300 F ST,SACRAMENTO,95814,CA,3,3,1627,Residential,Wed May 21 00:00:00 EDT 2008,391000,38.58355,-121.487289 6801 RAWLEY WAY,ELK GROVE,95757,CA,4,3,3440,Residential,Wed May 21 00:00:00 EDT 2008,394470,38.408351,-121.423925 1693 SHELTER COVE DR,GREENWOOD,95635,CA,3,2,2846,Residential,Wed May 21 00:00:00 EDT 2008,395000,38.945357,-120.908822 9361 WADDELL LN,ELK GROVE,95624,CA,4,3,2359,Residential,Wed May 21 00:00:00 EDT 2008,400186,38.450829,-121.349928 10 SEA FOAM CT,SACRAMENTO,95831,CA,3,3,2052,Residential,Wed May 21 00:00:00 EDT 2008,415000,38.487885,-121.545947 6945 RIO TEJO WAY,ELK GROVE,95757,CA,5,3,3433,Residential,Wed May 21 00:00:00 EDT 2008,425000,38.385638,-121.422616 4186 TULIP PARK WAY,RANCHO CORDOVA,95742,CA,5,3,3615,Residential,Wed May 21 00:00:00 EDT 2008,430000,38.550617,-121.23526 9278 DAIRY CT,ELK GROVE,95624,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,445000,38.420338,-121.363757 207 ORANGE BLOSSOM CIR Unit C,FOLSOM,95630,CA,5,3,2687,Residential,Wed May 21 00:00:00 EDT 2008,460000,38.646273,-121.175322 6507 RIO DE ONAR WAY,ELK GROVE,95757,CA,4,3,2724,Residential,Wed May 21 00:00:00 EDT 2008,461000,38.38253,-121.428007 7004 RAWLEY WAY,ELK GROVE,95757,CA,4,3,3440,Residential,Wed May 21 00:00:00 EDT 2008,489332,38.406421,-121.422081 6503 RIO DE ONAR WAY,ELK GROVE,95757,CA,5,4,3508,Residential,Wed May 21 00:00:00 EDT 2008,510000,38.38253,-121.428038 2217 APPALOOSA CT,FOLSOM,95630,CA,4,2,2462,Residential,Wed May 21 00:00:00 EDT 2008,539000,38.655167,-121.090178 868 HILDEBRAND CIR,FOLSOM,95630,CA,0,0,0,Residential,Wed May 21 00:00:00 EDT 2008,585000,38.670947,-121.097727 6030 PALERMO WAY,EL DORADO HILLS,95762,CA,4,3,0,Residential,Wed May 21 00:00:00 EDT 2008,600000,38.672761,-121.050378 4070 REDONDO DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Wed May 21 00:00:00 EDT 2008,606238,38.666807,-121.06483 4004 CRESTA WAY,SACRAMENTO,95864,CA,3,3,2325,Residential,Wed May 21 00:00:00 EDT 2008,660000,38.591618,-121.370626 315 JUMEL CT,EL DORADO HILLS,95762,CA,6,5,0,Residential,Wed May 21 00:00:00 EDT 2008,830000,38.669931,-121.05958 6272 LONGFORD DR Unit 1,CITRUS HEIGHTS,95621,CA,2,1,795,Condo,Tue May 20 00:00:00 EDT 2008,69000,38.680923,-121.313945 3432 Y ST,SACRAMENTO,95817,CA,4,2,1099,Residential,Tue May 20 00:00:00 EDT 2008,70000,38.554967,-121.468046 9512 EMERALD PARK DR Unit 3,ELK GROVE,95624,CA,2,1,840,Condo,Tue May 20 00:00:00 EDT 2008,71000,38.40573,-121.369832 3132 CLAY ST,SACRAMENTO,95815,CA,2,1,800,Residential,Tue May 20 00:00:00 EDT 2008,78000,38.624678,-121.439203 5221 38TH AVE,SACRAMENTO,95824,CA,2,1,746,Residential,Tue May 20 00:00:00 EDT 2008,78400,38.518044,-121.443555 6112 HERMOSA ST,SACRAMENTO,95822,CA,3,1,1067,Residential,Tue May 20 00:00:00 EDT 2008,80000,38.515125,-121.480416 483 ARCADE BLVD,SACRAMENTO,95815,CA,4,2,1316,Residential,Tue May 20 00:00:00 EDT 2008,89000,38.623571,-121.454884 671 SONOMA AVE,SACRAMENTO,95815,CA,3,1,1337,Residential,Tue May 20 00:00:00 EDT 2008,90000,38.622953,-121.450142 5980 79TH ST,SACRAMENTO,95824,CA,2,1,868,Residential,Tue May 20 00:00:00 EDT 2008,90000,38.518373,-121.411779 7607 ELDER CREEK RD,SACRAMENTO,95824,CA,3,1,924,Residential,Tue May 20 00:00:00 EDT 2008,92000,38.51055,-121.414768 5028 14TH AVE,SACRAMENTO,95820,CA,2,1,610,Residential,Tue May 20 00:00:00 EDT 2008,93675,38.53942,-121.446894 14788 NATCHEZ CT,RANCHO MURIETA,95683,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,97750,38.492287,-121.100032 1069 ACACIA AVE,SACRAMENTO,95815,CA,2,1,1220,Residential,Tue May 20 00:00:00 EDT 2008,98000,38.621998,-121.442238 5201 LAGUNA OAKS DR Unit 199,ELK GROVE,95758,CA,1,1,722,Condo,Tue May 20 00:00:00 EDT 2008,98000,38.423251,-121.444489 3847 LAS PASAS WAY,SACRAMENTO,95864,CA,3,1,1643,Residential,Tue May 20 00:00:00 EDT 2008,99000,38.588672,-121.373916 5201 LAGUNA OAKS DR Unit 172,ELK GROVE,95758,CA,1,1,722,Condo,Tue May 20 00:00:00 EDT 2008,100000,38.423251,-121.444489 1121 CREEKSIDE WAY,GALT,95632,CA,3,1,1080,Residential,Tue May 20 00:00:00 EDT 2008,106716,38.241514,-121.312199 5307 CABRILLO WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Tue May 20 00:00:00 EDT 2008,111000,38.52712,-121.435348 3725 DON JULIO BLVD,NORTH HIGHLANDS,95660,CA,3,1,1051,Residential,Tue May 20 00:00:00 EDT 2008,111000,38.67895,-121.379406 4803 MCCLOUD DR,SACRAMENTO,95842,CA,2,2,967,Residential,Tue May 20 00:00:00 EDT 2008,114800,38.682279,-121.352817 10542 SILVERWOOD WAY,RANCHO CORDOVA,95670,CA,3,1,1098,Residential,Tue May 20 00:00:00 EDT 2008,120108,38.587156,-121.295778 6318 39TH AVE,SACRAMENTO,95824,CA,3,1,1050,Residential,Tue May 20 00:00:00 EDT 2008,123225,38.518942,-121.430158 211 MCDANIEL CIR,SACRAMENTO,95838,CA,3,2,1110,Residential,Tue May 20 00:00:00 EDT 2008,123750,38.636565,-121.460383 3800 LYNHURST WAY,NORTH HIGHLANDS,95660,CA,3,1,888,Residential,Tue May 20 00:00:00 EDT 2008,125000,38.650445,-121.374861 6139 HERMOSA ST,SACRAMENTO,95822,CA,3,2,1120,Residential,Tue May 20 00:00:00 EDT 2008,125000,38.514665,-121.480411 2505 RHINE WAY,ELVERTA,95626,CA,3,2,1080,Residential,Tue May 20 00:00:00 EDT 2008,126000,38.717976,-121.407684 3692 PAYNE WAY,NORTH HIGHLANDS,95660,CA,3,1,957,Residential,Tue May 20 00:00:00 EDT 2008,129000,38.66654,-121.378298 604 MORRISON AVE,SACRAMENTO,95838,CA,2,1,952,Residential,Tue May 20 00:00:00 EDT 2008,134000,38.637678,-121.452476 648 SANTA ANA AVE,SACRAMENTO,95838,CA,3,2,1211,Residential,Tue May 20 00:00:00 EDT 2008,135000,38.658478,-121.450409 14 ASHLEY OAKS CT,SACRAMENTO,95815,CA,3,2,1264,Residential,Tue May 20 00:00:00 EDT 2008,135500,38.61779,-121.436765 3174 NORTHVIEW DR,SACRAMENTO,95833,CA,3,1,1080,Residential,Tue May 20 00:00:00 EDT 2008,140000,38.623817,-121.477827 840 TRANQUIL LN,GALT,95632,CA,3,2,1266,Residential,Tue May 20 00:00:00 EDT 2008,140000,38.270617,-121.299205 5333 PRIMROSE DR Unit 19A,FAIR OAKS,95628,CA,2,2,994,Condo,Tue May 20 00:00:00 EDT 2008,142500,38.662785,-121.276272 1035 MILLET WAY,SACRAMENTO,95834,CA,3,2,1202,Residential,Tue May 20 00:00:00 EDT 2008,143500,38.631056,-121.48508 5201 LAGUNA OAKS DR Unit 126,ELK GROVE,95758,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,145000,38.423251,-121.444489 3328 22ND AVE,SACRAMENTO,95820,CA,2,1,722,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.532727,-121.470783 8001 HARTWICK WAY,SACRAMENTO,95828,CA,4,2,1448,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.488623,-121.410582 7812 HARTWICK WAY,SACRAMENTO,95828,CA,3,2,1188,Residential,Tue May 20 00:00:00 EDT 2008,145000,38.488611,-121.412808 4207 PAINTER WAY,NORTH HIGHLANDS,95660,CA,4,2,1183,Residential,Tue May 20 00:00:00 EDT 2008,146000,38.692915,-121.367497 7458 WINKLEY WAY,SACRAMENTO,95822,CA,3,1,1320,Residential,Tue May 20 00:00:00 EDT 2008,148500,38.487444,-121.491366 8354 SUNRISE WOODS WAY,SACRAMENTO,95828,CA,3,2,1117,Residential,Tue May 20 00:00:00 EDT 2008,149000,38.473288,-121.3963 8116 COTTONMILL CIR,SACRAMENTO,95828,CA,3,2,1364,Residential,Tue May 20 00:00:00 EDT 2008,150000,38.482876,-121.405912 4660 CEDARWOOD WAY,SACRAMENTO,95823,CA,4,2,1310,Residential,Tue May 20 00:00:00 EDT 2008,150000,38.484834,-121.449316 9254 HARROGATE WAY,ELK GROVE,95758,CA,2,2,1006,Residential,Tue May 20 00:00:00 EDT 2008,152000,38.420138,-121.412179 6716 TAREYTON WAY,CITRUS HEIGHTS,95621,CA,3,2,1104,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.693724,-121.307169 2028 ROBERT WAY,SACRAMENTO,95825,CA,2,1,810,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.609982,-121.419263 9346 AIZENBERG CIR,ELK GROVE,95624,CA,2,2,1123,Residential,Tue May 20 00:00:00 EDT 2008,156000,38.41875,-121.370019 4524 LOCH HAVEN WAY,SACRAMENTO,95842,CA,2,1,904,Residential,Tue May 20 00:00:00 EDT 2008,157788,38.67273,-121.359645 7140 BLUE SPRINGS WAY,CITRUS HEIGHTS,95621,CA,3,2,1156,Residential,Tue May 20 00:00:00 EDT 2008,161653,38.720653,-121.302241 4631 11TH AVE,SACRAMENTO,95820,CA,2,1,1321,Residential,Tue May 20 00:00:00 EDT 2008,161829,38.541965,-121.452132 3228 BAGGAN CT,ANTELOPE,95843,CA,3,2,1392,Residential,Tue May 20 00:00:00 EDT 2008,165000,38.715346,-121.388163 8515 DARTFORD DR,SACRAMENTO,95823,CA,3,2,1439,Residential,Tue May 20 00:00:00 EDT 2008,168000,38.448288,-121.420719 4500 TIPPWOOD WAY,SACRAMENTO,95842,CA,3,2,1159,Residential,Tue May 20 00:00:00 EDT 2008,169000,38.69951,-121.359989 2460 EL ROCCO WAY,RANCHO CORDOVA,95670,CA,3,2,1671,Residential,Tue May 20 00:00:00 EDT 2008,175000,38.591477,-121.31534 8244 SUNBIRD WAY,SACRAMENTO,95823,CA,3,2,1740,Residential,Tue May 20 00:00:00 EDT 2008,176250,38.457654,-121.431381 5841 VALLEY VALE WAY,SACRAMENTO,95823,CA,3,2,1265,Residential,Tue May 20 00:00:00 EDT 2008,179000,38.461283,-121.434322 7863 CRESTLEIGH CT,ANTELOPE,95843,CA,2,2,1007,Residential,Tue May 20 00:00:00 EDT 2008,180000,38.710889,-121.358876 7129 SPRINGMONT DR,ELK GROVE,95758,CA,3,2,1716,Residential,Tue May 20 00:00:00 EDT 2008,180400,38.417649,-121.420294 8284 RED FOX WAY,ELK GROVE,95758,CA,4,2,1685,Residential,Tue May 20 00:00:00 EDT 2008,182000,38.417182,-121.397231 2219 EL CANTO CIR,RANCHO CORDOVA,95670,CA,4,2,1829,Residential,Tue May 20 00:00:00 EDT 2008,184500,38.592383,-121.318669 8907 GEMWOOD WAY,ELK GROVE,95758,CA,3,2,1555,Residential,Tue May 20 00:00:00 EDT 2008,185000,38.435471,-121.441173 5925 MALEVILLE AVE,CARMICHAEL,95608,CA,4,2,1120,Residential,Tue May 20 00:00:00 EDT 2008,189000,38.666564,-121.325717 7031 CANEVALLEY CIR,CITRUS HEIGHTS,95621,CA,3,2,1137,Residential,Tue May 20 00:00:00 EDT 2008,194000,38.718693,-121.303619 3949 WILDROSE WAY,SACRAMENTO,95826,CA,3,1,1174,Residential,Tue May 20 00:00:00 EDT 2008,195000,38.543697,-121.366683 4437 MITCHUM CT,ANTELOPE,95843,CA,3,2,1393,Residential,Tue May 20 00:00:00 EDT 2008,200000,38.704407,-121.36113 2778 KAWEAH CT,CAMERON PARK,95682,CA,3,1,0,Residential,Tue May 20 00:00:00 EDT 2008,201000,38.694052,-120.995589 1636 ALLENWOOD CIR,LINCOLN,95648,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,202500,38.879192,-121.309477 8151 QUAIL RIDGE CT,SACRAMENTO,95828,CA,3,2,1289,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.461296,-121.390858 4899 WIND CREEK DR,SACRAMENTO,95838,CA,4,2,1799,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.655887,-121.446119 2370 BIG CANYON CREEK RD,PLACERVILLE,95667,CA,3,2,0,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.74458,-120.794254 6049 HAMBURG WAY,SACRAMENTO,95823,CA,4,3,1953,Residential,Tue May 20 00:00:00 EDT 2008,205000,38.443253,-121.431992 4232 71ST ST,SACRAMENTO,95820,CA,2,1,723,Residential,Tue May 20 00:00:00 EDT 2008,207000,38.536741,-121.42115 3361 BOW MAR CT,CAMERON PARK,95682,CA,2,2,0,Residential,Tue May 20 00:00:00 EDT 2008,210000,38.69437,-120.996602 1889 COLD SPRINGS RD,PLACERVILLE,95667,CA,2,1,948,Residential,Tue May 20 00:00:00 EDT 2008,211500,38.739774,-120.860243 5805 HIMALAYA WAY,CITRUS HEIGHTS,95621,CA,4,2,1578,Residential,Tue May 20 00:00:00 EDT 2008,215000,38.696489,-121.328555 7944 SYLVAN OAK WAY,CITRUS HEIGHTS,95610,CA,3,2,1317,Residential,Tue May 20 00:00:00 EDT 2008,215000,38.710388,-121.261096 3139 SPOONWOOD WAY Unit 1,SACRAMENTO,95833,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,215500,38.626582,-121.52151 6217 LEOLA WAY,SACRAMENTO,95824,CA,3,1,1360,Residential,Tue May 20 00:00:00 EDT 2008,222381,38.513066,-121.451909 2340 HURLEY WAY,SACRAMENTO,95825,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,225000,38.588816,-121.408549 3035 BRUNNET LN,SACRAMENTO,95833,CA,3,2,1522,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.624762,-121.522775 3025 EL PRADO WAY,SACRAMENTO,95825,CA,4,2,1751,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.606603,-121.394147 9387 GRANITE FALLS CT,ELK GROVE,95624,CA,3,2,1465,Residential,Tue May 20 00:00:00 EDT 2008,225000,38.419214,-121.348533 9257 CALDERA WAY,SACRAMENTO,95826,CA,4,2,1605,Residential,Tue May 20 00:00:00 EDT 2008,228000,38.55821,-121.355022 441 ARLINGDALE CIR,RIO LINDA,95673,CA,4,2,1475,Residential,Tue May 20 00:00:00 EDT 2008,229665,38.702893,-121.454949 2284 LOS ROBLES RD,MEADOW VISTA,95722,CA,3,1,1216,Residential,Tue May 20 00:00:00 EDT 2008,230000,39.008159,-121.03623 8164 CHENIN BLANC LN,FAIR OAKS,95628,CA,2,2,1315,Residential,Tue May 20 00:00:00 EDT 2008,230000,38.665644,-121.259969 4620 CHAMBERLIN CIR,ELK GROVE,95757,CA,3,2,1567,Residential,Tue May 20 00:00:00 EDT 2008,230000,38.390557,-121.449805 5340 BIRK WAY,SACRAMENTO,95835,CA,3,2,1776,Residential,Tue May 20 00:00:00 EDT 2008,234000,38.672495,-121.515251 51 ANJOU CIR,SACRAMENTO,95835,CA,3,2,2187,Residential,Tue May 20 00:00:00 EDT 2008,235000,38.661658,-121.540633 2125 22ND AVE,SACRAMENTO,95822,CA,3,1,1291,Residential,Tue May 20 00:00:00 EDT 2008,236250,38.534596,-121.493121 611 BLOSSOM ROCK LN,FOLSOM,95630,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,240000,38.6457,-121.1197 8830 ADUR RD,ELK GROVE,95624,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,242000,38.43742,-121.372876 7344 BUTTERBALL WAY,SACRAMENTO,95842,CA,3,2,1503,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.699489,-121.361828 8219 GWINHURST CIR,SACRAMENTO,95828,CA,4,3,2491,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.459711,-121.384283 3240 S ST,SACRAMENTO,95816,CA,2,1,1269,Residential,Tue May 20 00:00:00 EDT 2008,245000,38.562296,-121.467489 221 PICASSO CIR,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.676658,-121.528128 5706 GREENACRES WAY,ORANGEVALE,95662,CA,3,2,1176,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.669882,-121.213533 6900 LONICERA DR,ORANGEVALE,95662,CA,4,2,1456,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.692199,-121.250975 419 DAWNRIDGE RD,ROSEVILLE,95678,CA,3,2,1498,Residential,Tue May 20 00:00:00 EDT 2008,250000,38.725283,-121.297953 5312 MARBURY WAY,ANTELOPE,95843,CA,3,2,1574,Residential,Tue May 20 00:00:00 EDT 2008,255000,38.710221,-121.341651 6344 BONHAM CIR,CITRUS HEIGHTS,95610,CA,5,4,2085,Multi-Family,Tue May 20 00:00:00 EDT 2008,256054,38.682358,-121.272876 8207 YORKTON WAY,SACRAMENTO,95829,CA,3,2,2170,Residential,Tue May 20 00:00:00 EDT 2008,257729,38.45967,-121.360461 7922 MANSELL WAY,ELK GROVE,95758,CA,4,2,1595,Residential,Tue May 20 00:00:00 EDT 2008,260000,38.409634,-121.410787 5712 MELBURY CIR,ANTELOPE,95843,CA,3,2,1567,Residential,Tue May 20 00:00:00 EDT 2008,261000,38.705849,-121.334701 632 NEWBRIDGE LN,LINCOLN,95648,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,261800,38.879084,-121.298586 1570 GLIDDEN AVE,SACRAMENTO,95822,CA,4,2,1253,Residential,Tue May 20 00:00:00 EDT 2008,264469,38.482704,-121.500433 8108 FILIFERA WAY,ANTELOPE,95843,CA,4,3,1768,Residential,Tue May 20 00:00:00 EDT 2008,265000,38.717042,-121.35468 230 BANKSIDE WAY,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.676937,-121.529244 5342 CALABRIA WAY,SACRAMENTO,95835,CA,4,3,2030,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.671807,-121.498274 47 NAPONEE CT,SACRAMENTO,95835,CA,3,2,1531,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.665704,-121.529096 4236 ADRIATIC SEA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,270000,38.647961,-121.543162 8864 REMBRANT CT,ELK GROVE,95624,CA,4,3,1653,Residential,Tue May 20 00:00:00 EDT 2008,275000,38.435288,-121.375703 9455 SEA CLIFF WAY,ELK GROVE,95758,CA,4,2,2056,Residential,Tue May 20 00:00:00 EDT 2008,275000,38.411522,-121.481406 9720 LITTLE HARBOR WAY,ELK GROVE,95624,CA,4,3,2494,Residential,Tue May 20 00:00:00 EDT 2008,280000,38.404934,-121.352405 8806 PHOENIX AVE,FAIR OAKS,95628,CA,3,2,1450,Residential,Tue May 20 00:00:00 EDT 2008,286013,38.660322,-121.230101 3578 LOGGERHEAD WAY,SACRAMENTO,95834,CA,4,2,2169,Residential,Tue May 20 00:00:00 EDT 2008,292000,38.633028,-121.526755 1416 LOCKHART WAY,ROSEVILLE,95747,CA,3,2,1440,Residential,Tue May 20 00:00:00 EDT 2008,292000,38.752399,-121.330328 5413 BUENA VENTURA WAY,FAIR OAKS,95628,CA,3,2,1527,Residential,Tue May 20 00:00:00 EDT 2008,293993,38.664552,-121.255937 37 WHITE BIRCH CT,ROSEVILLE,95678,CA,3,2,1401,Residential,Tue May 20 00:00:00 EDT 2008,294000,38.776327,-121.284514 405 MARLIN SPIKE WAY,SACRAMENTO,95838,CA,3,2,1411,Residential,Tue May 20 00:00:00 EDT 2008,296769,38.65783,-121.456842 1102 CHESLEY LN,LINCOLN,95648,CA,4,4,0,Residential,Tue May 20 00:00:00 EDT 2008,297500,38.864864,-121.313988 11281 STANFORD COURT LN Unit 604,GOLD RIVER,95670,CA,0,0,0,Condo,Tue May 20 00:00:00 EDT 2008,300000,38.625289,-121.260286 7320 6TH ST,RIO LINDA,95673,CA,3,1,1284,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.700553,-121.452223 993 MANTON CT,GALT,95632,CA,4,3,2307,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.272942,-121.289148 4487 PANORAMA DR,PLACERVILLE,95667,CA,3,2,1329,Residential,Tue May 20 00:00:00 EDT 2008,300000,38.694559,-120.848157 5651 OVERLEAF WAY,SACRAMENTO,95835,CA,4,2,1910,Residential,Tue May 20 00:00:00 EDT 2008,300500,38.677454,-121.494791 2015 PROMONTORY POINT LN,GOLD RIVER,95670,CA,3,2,1981,Residential,Tue May 20 00:00:00 EDT 2008,305000,38.628732,-121.261149 3224 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,306500,38.772771,-121.364877 15 VANESSA PL,SACRAMENTO,95835,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,312500,38.668692,-121.54549 1312 RENISON LN,LINCOLN,95648,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,315000,38.866409,-121.308485 8 RIVER RAFT CT,SACRAMENTO,95823,CA,4,2,2205,Residential,Tue May 20 00:00:00 EDT 2008,319789,38.447353,-121.434969 2251 LAMPLIGHT LN,LINCOLN,95648,CA,2,2,1449,Residential,Tue May 20 00:00:00 EDT 2008,330000,38.849924,-121.275729 106 FARHAM DR,FOLSOM,95630,CA,3,2,1258,Residential,Tue May 20 00:00:00 EDT 2008,330000,38.667834,-121.168578 5405 NECTAR CIR,ELK GROVE,95757,CA,3,2,2575,Residential,Tue May 20 00:00:00 EDT 2008,331000,38.387014,-121.440967 5411 10TH AVE,SACRAMENTO,95820,CA,2,1,539,Residential,Tue May 20 00:00:00 EDT 2008,334000,38.542727,-121.442449 3512 RAINSONG CIR,RANCHO CORDOVA,95670,CA,4,3,2208,Residential,Tue May 20 00:00:00 EDT 2008,336000,38.573488,-121.282809 1106 55TH ST,SACRAMENTO,95819,CA,3,1,1108,Residential,Tue May 20 00:00:00 EDT 2008,339000,38.563805,-121.436395 411 ILLSLEY WAY,FOLSOM,95630,CA,4,2,1595,Residential,Tue May 20 00:00:00 EDT 2008,339000,38.652002,-121.129504 796 BUTTERCUP CIR,GALT,95632,CA,4,2,2159,Residential,Tue May 20 00:00:00 EDT 2008,345000,38.279581,-121.300828 1230 SANDRA CIR,PLACERVILLE,95667,CA,4,3,2295,Residential,Tue May 20 00:00:00 EDT 2008,350000,38.738141,-120.784145 318 ANACAPA DR,ROSEVILLE,95678,CA,3,2,1838,Residential,Tue May 20 00:00:00 EDT 2008,356000,38.782094,-121.297133 3975 SHINING STAR DR,SACRAMENTO,95823,CA,4,2,1900,Residential,Tue May 20 00:00:00 EDT 2008,361745,38.487409,-121.461413 1620 BASLER ST,SACRAMENTO,95811,CA,4,2,1718,Residential,Tue May 20 00:00:00 EDT 2008,361948,38.591822,-121.478644 9688 NATURE TRAIL WAY,ELK GROVE,95757,CA,5,3,3389,Residential,Tue May 20 00:00:00 EDT 2008,370000,38.405224,-121.479275 5924 TANUS CIR,ROCKLIN,95677,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,380000,38.778691,-121.204292 9629 CEDAR OAK WAY,ELK GROVE,95757,CA,5,4,3260,Residential,Tue May 20 00:00:00 EDT 2008,385000,38.405527,-121.431746 3429 FERNBROOK CT,CAMERON PARK,95682,CA,3,2,2016,Residential,Tue May 20 00:00:00 EDT 2008,399000,38.664225,-121.007173 2121 HANNAH WAY,ROCKLIN,95765,CA,4,2,2607,Residential,Tue May 20 00:00:00 EDT 2008,402000,38.805749,-121.280931 10104 ANNIE ST,ELK GROVE,95757,CA,4,3,2724,Residential,Tue May 20 00:00:00 EDT 2008,406026,38.390465,-121.443479 1092 MAUGHAM CT,GALT,95632,CA,5,4,3746,Residential,Tue May 20 00:00:00 EDT 2008,420000,38.271646,-121.286848 5404 ALMOND FALLS WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,425000,38.527502,-121.233492 6306 CONEJO,RANCHO MURIETA,95683,CA,4,2,3192,Residential,Tue May 20 00:00:00 EDT 2008,425000,38.512602,-121.087233 14 CASA VATONI PL,SACRAMENTO,95834,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,433500,38.650221,-121.551704 1456 EAGLESFIELD LN,LINCOLN,95648,CA,4,3,0,Residential,Tue May 20 00:00:00 EDT 2008,436746,38.857635,-121.311375 4100 BOTHWELL CIR,EL DORADO HILLS,95762,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,438700,38.679136,-121.034329 427 21ST ST,SACRAMENTO,95811,CA,2,1,1247,Residential,Tue May 20 00:00:00 EDT 2008,445000,38.582604,-121.47576 1044 GALSTON DR,FOLSOM,95630,CA,4,2,2581,Residential,Tue May 20 00:00:00 EDT 2008,450000,38.676306,-121.09954 4440 SYCAMORE AVE,SACRAMENTO,95841,CA,3,1,2068,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.646374,-121.353658 1032 SOUZA DR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.668239,-121.064437 9760 LAZULITE CT,ELK GROVE,95624,CA,4,3,3992,Residential,Tue May 20 00:00:00 EDT 2008,460000,38.403609,-121.335541 241 LANFRANCO CIR,SACRAMENTO,95835,CA,4,4,3397,Residential,Tue May 20 00:00:00 EDT 2008,465000,38.665696,-121.549437 5559 NORTHBOROUGH DR,SACRAMENTO,95835,CA,5,3,3881,Residential,Tue May 20 00:00:00 EDT 2008,471750,38.677225,-121.519687 2125 BIG SKY DR,ROCKLIN,95765,CA,5,3,0,Residential,Tue May 20 00:00:00 EDT 2008,480000,38.801637,-121.278798 2109 HAMLET PL,CARMICHAEL,95608,CA,2,2,1598,Residential,Tue May 20 00:00:00 EDT 2008,484000,38.602754,-121.329326 9970 STATE HIGHWAY 193,PLACERVILLE,95667,CA,4,3,1929,Residential,Tue May 20 00:00:00 EDT 2008,485000,38.787877,-120.816676 2901 PINTAIL WAY,ELK GROVE,95757,CA,4,3,3070,Residential,Tue May 20 00:00:00 EDT 2008,495000,38.398488,-121.473424 201 FIRESTONE DR,ROSEVILLE,95678,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,500500,38.770153,-121.300039 1740 HIGH ST,AUBURN,95603,CA,3,3,0,Residential,Tue May 20 00:00:00 EDT 2008,504000,38.891935,-121.08434 2733 DANA LOOP,EL DORADO HILLS,95762,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,541000,38.628459,-121.055078 9741 SADDLEBRED CT,WILTON,95693,CA,0,0,0,Residential,Tue May 20 00:00:00 EDT 2008,560000,38.408841,-121.198039 7756 TIGERWOODS DR,SACRAMENTO,95829,CA,5,3,3984,Residential,Tue May 20 00:00:00 EDT 2008,572500,38.47643,-121.309243 5709 RIVER OAK WAY,CARMICHAEL,95608,CA,4,2,2222,Residential,Tue May 20 00:00:00 EDT 2008,582000,38.602461,-121.330979 2981 WRINGER DR,ROSEVILLE,95661,CA,4,3,3838,Residential,Tue May 20 00:00:00 EDT 2008,613401,38.735373,-121.227072 8616 ROCKPORTE CT,ROSEVILLE,95747,CA,4,2,0,Residential,Tue May 20 00:00:00 EDT 2008,614000,38.742118,-121.359909 4128 HILL ST,FAIR OAKS,95628,CA,5,5,2846,Residential,Tue May 20 00:00:00 EDT 2008,680000,38.64167,-121.262099 1409 47TH ST,SACRAMENTO,95819,CA,5,2,2484,Residential,Tue May 20 00:00:00 EDT 2008,699000,38.563244,-121.446876 3935 EL MONTE DR,LOOMIS,95650,CA,4,4,1624,Residential,Tue May 20 00:00:00 EDT 2008,839000,38.813337,-121.133348 5840 WALERGA RD,SACRAMENTO,95842,CA,2,1,840,Condo,Mon May 19 00:00:00 EDT 2008,40000,38.673678,-121.357471 923 FULTON AVE,SACRAMENTO,95825,CA,1,1,484,Condo,Mon May 19 00:00:00 EDT 2008,48000,38.582279,-121.401482 261 REDONDO AVE,SACRAMENTO,95815,CA,3,1,970,Residential,Mon May 19 00:00:00 EDT 2008,61500,38.620685,-121.460539 4030 BROADWAY,SACRAMENTO,95817,CA,2,1,623,Residential,Mon May 19 00:00:00 EDT 2008,62050,38.546798,-121.460038 3660 22ND AVE,SACRAMENTO,95820,CA,2,1,932,Residential,Mon May 19 00:00:00 EDT 2008,65000,38.532718,-121.46747 3924 HIGH ST,SACRAMENTO,95838,CA,2,1,796,Residential,Mon May 19 00:00:00 EDT 2008,65000,38.638797,-121.435049 4734 14TH AVE,SACRAMENTO,95820,CA,2,1,834,Residential,Mon May 19 00:00:00 EDT 2008,68000,38.539447,-121.450858 4734 14TH AVE,SACRAMENTO,95820,CA,2,1,834,Residential,Mon May 19 00:00:00 EDT 2008,68000,38.539447,-121.450858 5050 RHODE ISLAND DR Unit 4,SACRAMENTO,95841,CA,2,1,924,Condo,Mon May 19 00:00:00 EDT 2008,77000,38.658739,-121.333561 4513 GREENHOLME DR,SACRAMENTO,95842,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,82732,38.669104,-121.359008 3845 ELM ST,SACRAMENTO,95838,CA,3,1,1250,Residential,Mon May 19 00:00:00 EDT 2008,84000,38.637337,-121.432835 3908 17TH AVE,SACRAMENTO,95820,CA,2,1,984,Residential,Mon May 19 00:00:00 EDT 2008,84675,38.53728,-121.463531 7109 CHANDLER DR,SACRAMENTO,95828,CA,3,1,1013,Residential,Mon May 19 00:00:00 EDT 2008,85000,38.497237,-121.424187 7541 SKELTON WAY,SACRAMENTO,95822,CA,3,1,1012,Residential,Mon May 19 00:00:00 EDT 2008,90000,38.484274,-121.488851 9058 MONTOYA ST,SACRAMENTO,95826,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,90000,38.559144,-121.368387 1016 CONGRESS AVE,SACRAMENTO,95838,CA,2,2,918,Residential,Mon May 19 00:00:00 EDT 2008,91000,38.630151,-121.442789 540 MORRISON AVE,SACRAMENTO,95838,CA,3,1,1082,Residential,Mon May 19 00:00:00 EDT 2008,95000,38.637704,-121.453946 5303 JERRETT WAY,SACRAMENTO,95842,CA,2,1,964,Residential,Mon May 19 00:00:00 EDT 2008,97500,38.663282,-121.359631 2820 DEL PASO BLVD,SACRAMENTO,95815,CA,4,2,1404,Multi-Family,Mon May 19 00:00:00 EDT 2008,100000,38.617718,-121.440089 3715 TALLYHO DR Unit 78HIGH,SACRAMENTO,95826,CA,1,1,625,Condo,Mon May 19 00:00:00 EDT 2008,100000,38.544627,-121.35796 6013 ROWAN WAY,CITRUS HEIGHTS,95621,CA,2,1,888,Residential,Mon May 19 00:00:00 EDT 2008,101000,38.675893,-121.2963 2987 PONDEROSA LN,SACRAMENTO,95815,CA,4,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,102750,38.622243,-121.457863 3732 LANKERSHIM WAY,NORTH HIGHLANDS,95660,CA,3,1,1331,Residential,Mon May 19 00:00:00 EDT 2008,112500,38.68972,-121.378399 2216 DUNLAP DR,SACRAMENTO,95821,CA,3,1,1014,Residential,Mon May 19 00:00:00 EDT 2008,113000,38.623738,-121.41305 3503 21ST AVE,SACRAMENTO,95820,CA,4,2,1448,Residential,Mon May 19 00:00:00 EDT 2008,114000,38.53361,-121.469308 523 EXCHANGE ST,SACRAMENTO,95838,CA,3,1,966,Residential,Mon May 19 00:00:00 EDT 2008,114000,38.659414,-121.45408 8101 PORT ROYALE WAY,SACRAMENTO,95823,CA,2,1,779,Residential,Mon May 19 00:00:00 EDT 2008,114750,38.463929,-121.438667 8020 WALERGA RD,ANTELOPE,95843,CA,2,2,836,Condo,Mon May 19 00:00:00 EDT 2008,115000,38.71607,-121.364468 167 VALLEY OAK DR,ROSEVILLE,95678,CA,2,2,1100,Condo,Mon May 19 00:00:00 EDT 2008,115000,38.732429,-121.288069 7876 BURLINGTON WAY,SACRAMENTO,95832,CA,3,1,1174,Residential,Mon May 19 00:00:00 EDT 2008,116100,38.470093,-121.468347 3726 JONKO AVE,NORTH HIGHLANDS,95660,CA,3,2,1207,Residential,Mon May 19 00:00:00 EDT 2008,119250,38.656131,-121.377265 7342 GIGI PL,SACRAMENTO,95828,CA,4,4,1995,Multi-Family,Mon May 19 00:00:00 EDT 2008,120000,38.490704,-121.410176 2610 PHYLLIS AVE,SACRAMENTO,95820,CA,2,1,804,Residential,Mon May 19 00:00:00 EDT 2008,120000,38.53105,-121.479574 4200 COMMERCE WAY Unit 711,SACRAMENTO,95834,CA,2,2,958,Condo,Mon May 19 00:00:00 EDT 2008,120000,38.647523,-121.523217 4621 COUNTRY SCENE WAY,SACRAMENTO,95823,CA,3,2,1366,Residential,Mon May 19 00:00:00 EDT 2008,120108,38.470187,-121.448149 5380 VILLAGE WOOD DR,SACRAMENTO,95823,CA,2,2,901,Residential,Mon May 19 00:00:00 EDT 2008,121500,38.454949,-121.440578 2621 EVERGREEN ST,SACRAMENTO,95815,CA,3,1,696,Residential,Mon May 19 00:00:00 EDT 2008,121725,38.613103,-121.444085 201 CARLO CT,GALT,95632,CA,3,2,1080,Residential,Mon May 19 00:00:00 EDT 2008,122000,38.24227,-121.31032 6743 21ST ST,SACRAMENTO,95822,CA,3,2,1104,Residential,Mon May 19 00:00:00 EDT 2008,123000,38.50372,-121.490657 3128 VIA GRANDE,SACRAMENTO,95825,CA,2,1,972,Residential,Mon May 19 00:00:00 EDT 2008,125000,38.598321,-121.39161 2847 BELGRADE WAY,SACRAMENTO,95833,CA,4,2,1390,Residential,Mon May 19 00:00:00 EDT 2008,125573,38.617173,-121.482541 7741 MILLDALE CIR,ELVERTA,95626,CA,4,2,1354,Residential,Mon May 19 00:00:00 EDT 2008,126714,38.705834,-121.43919 9013 CASALS ST,SACRAMENTO,95826,CA,2,1,795,Condo,Mon May 19 00:00:00 EDT 2008,126960,38.557045,-121.37167 227 MAHAN CT Unit 1,ROSEVILLE,95678,CA,2,1,780,Condo,Mon May 19 00:00:00 EDT 2008,127000,38.749723,-121.27008 7349 FLETCHER FARM DR,SACRAMENTO,95828,CA,4,2,1587,Residential,Mon May 19 00:00:00 EDT 2008,127500,38.49069,-121.382619 7226 LARCHMONT DR,NORTH HIGHLANDS,95660,CA,3,2,1209,Residential,Mon May 19 00:00:00 EDT 2008,130000,38.699269,-121.376334 4114 35TH AVE,SACRAMENTO,95824,CA,2,1,1139,Residential,Mon May 19 00:00:00 EDT 2008,133105,38.520941,-121.459355 617 M ST,RIO LINDA,95673,CA,2,2,1690,Residential,Mon May 19 00:00:00 EDT 2008,136500,38.691104,-121.451832 7032 FAIR OAKS BLVD,CARMICHAEL,95608,CA,3,2,1245,Condo,Mon May 19 00:00:00 EDT 2008,139500,38.628563,-121.328297 2421 SANTINA WAY,ELVERTA,95626,CA,3,2,1416,Residential,Mon May 19 00:00:00 EDT 2008,140000,38.71865,-121.407763 2368 CRAIG AVE,SACRAMENTO,95832,CA,3,2,1300,Residential,Mon May 19 00:00:00 EDT 2008,140800,38.47807,-121.48114 2123 AMANDA WAY,SACRAMENTO,95822,CA,3,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,145000,38.484896,-121.486948 7620 DARLA WAY,SACRAMENTO,95828,CA,4,2,1590,Residential,Mon May 19 00:00:00 EDT 2008,147000,38.478502,-121.403517 8344 FIELDPOPPY CIR,SACRAMENTO,95828,CA,3,2,1407,Residential,Mon May 19 00:00:00 EDT 2008,149600,38.479083,-121.400702 3624 20TH AVE,SACRAMENTO,95820,CA,5,2,1516,Residential,Mon May 19 00:00:00 EDT 2008,150000,38.534508,-121.467907 10001 WOODCREEK OAKS BLVD Unit 1415,ROSEVILLE,95747,CA,2,2,0,Condo,Mon May 19 00:00:00 EDT 2008,150000,38.795529,-121.328819 2848 PROVO WAY,SACRAMENTO,95822,CA,3,2,1646,Residential,Mon May 19 00:00:00 EDT 2008,150000,38.489759,-121.474754 6045 EHRHARDT AVE,SACRAMENTO,95823,CA,3,2,1676,Residential,Mon May 19 00:00:00 EDT 2008,155000,38.457157,-121.433065 1223 LAMBERTON CIR,SACRAMENTO,95838,CA,3,2,1370,Residential,Mon May 19 00:00:00 EDT 2008,155435,38.646677,-121.437573 1223 LAMBERTON CIR,SACRAMENTO,95838,CA,3,2,1370,Residential,Mon May 19 00:00:00 EDT 2008,155500,38.646677,-121.437573 6000 BIRCHGLADE WAY,CITRUS HEIGHTS,95621,CA,4,2,1351,Residential,Mon May 19 00:00:00 EDT 2008,158000,38.70166,-121.323249 7204 THOMAS DR,NORTH HIGHLANDS,95660,CA,3,2,1152,Residential,Mon May 19 00:00:00 EDT 2008,158000,38.697898,-121.377687 8363 LANGTREE WAY,SACRAMENTO,95823,CA,3,2,1452,Residential,Mon May 19 00:00:00 EDT 2008,160000,38.45356,-121.435959 1675 VERNON ST Unit 8,ROSEVILLE,95678,CA,2,1,990,Residential,Mon May 19 00:00:00 EDT 2008,160000,38.734136,-121.299639 6632 IBEX WOODS CT,CITRUS HEIGHTS,95621,CA,2,2,1162,Residential,Mon May 19 00:00:00 EDT 2008,164000,38.720868,-121.309855 117 EVCAR WAY,RIO LINDA,95673,CA,3,2,1182,Residential,Mon May 19 00:00:00 EDT 2008,164000,38.687659,-121.4633 6485 LAGUNA MIRAGE LN,ELK GROVE,95758,CA,2,2,1112,Residential,Mon May 19 00:00:00 EDT 2008,165000,38.42465,-121.430137 746 MOOSE CREEK WAY,GALT,95632,CA,3,2,1100,Residential,Mon May 19 00:00:00 EDT 2008,167000,38.283085,-121.302071 8306 CURLEW CT,CITRUS HEIGHTS,95621,CA,4,2,1280,Residential,Mon May 19 00:00:00 EDT 2008,167293,38.715781,-121.298519 8306 CURLEW CT,CITRUS HEIGHTS,95621,CA,4,2,1280,Residential,Mon May 19 00:00:00 EDT 2008,167293,38.715781,-121.298519 5217 ARGO WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Mon May 19 00:00:00 EDT 2008,168000,38.52774,-121.433669 7108 HEATHER TREE DR,SACRAMENTO,95842,CA,3,2,1159,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.695677,-121.36022 2956 DAVENPORT WAY,SACRAMENTO,95833,CA,4,2,1917,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.620687,-121.482619 10062 LINCOLN VILLAGE DR,SACRAMENTO,95827,CA,3,2,1520,Residential,Mon May 19 00:00:00 EDT 2008,170000,38.564,-121.320023 332 PALIN AVE,GALT,95632,CA,3,2,1204,Residential,Mon May 19 00:00:00 EDT 2008,174000,38.260467,-121.302636 4649 FREEWAY CIR,SACRAMENTO,95841,CA,3,2,1120,Residential,Mon May 19 00:00:00 EDT 2008,178000,38.658734,-121.357196 8593 DERLIN WAY,SACRAMENTO,95823,CA,3,2,1436,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.447585,-121.426627 9273 PREMIER WAY,SACRAMENTO,95826,CA,3,2,1451,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.55992,-121.352539 8032 DUSENBERG CT,SACRAMENTO,95828,CA,4,2,1638,Residential,Mon May 19 00:00:00 EDT 2008,180000,38.466499,-121.381119 7110 STELLA LN Unit 15,CARMICHAEL,95608,CA,2,2,1000,Condo,Mon May 19 00:00:00 EDT 2008,182000,38.637396,-121.300055 1786 PIEDMONT WAY,ROSEVILLE,95661,CA,3,1,1152,Residential,Mon May 19 00:00:00 EDT 2008,188325,38.72748,-121.256537 1347 HIDALGO CIR,ROSEVILLE,95747,CA,3,2,1154,Residential,Mon May 19 00:00:00 EDT 2008,191500,38.747878,-121.311279 212 CAPPUCINO WAY,SACRAMENTO,95838,CA,3,2,1353,Residential,Mon May 19 00:00:00 EDT 2008,192000,38.657811,-121.465327 5938 WOODBRIAR WAY,CITRUS HEIGHTS,95621,CA,3,2,1329,Residential,Mon May 19 00:00:00 EDT 2008,192700,38.706152,-121.325399 3801 WILDROSE WAY,SACRAMENTO,95826,CA,3,1,1356,Residential,Mon May 19 00:00:00 EDT 2008,195000,38.544368,-121.369979 508 SAMUEL WAY,SACRAMENTO,95838,CA,3,2,1505,Residential,Mon May 19 00:00:00 EDT 2008,197654,38.645689,-121.452766 6128 CARL SANDBURG CIR,SACRAMENTO,95842,CA,3,1,1009,Residential,Mon May 19 00:00:00 EDT 2008,198000,38.681541,-121.355616 1 KENNELFORD CIR,SACRAMENTO,95823,CA,3,2,1144,Residential,Mon May 19 00:00:00 EDT 2008,200345,38.46452,-121.427606 909 SINGINGWOOD RD,SACRAMENTO,95864,CA,2,1,930,Residential,Mon May 19 00:00:00 EDT 2008,203000,38.581471,-121.38839 6671 FOXWOOD CT,SACRAMENTO,95841,CA,4,2,1766,Residential,Mon May 19 00:00:00 EDT 2008,207000,38.687943,-121.328883 8165 AYN RAND CT,SACRAMENTO,95828,CA,4,3,1940,Residential,Mon May 19 00:00:00 EDT 2008,208000,38.468639,-121.403265 9474 VILLAGE TREE DR,ELK GROVE,95758,CA,4,2,1776,Residential,Mon May 19 00:00:00 EDT 2008,210000,38.413947,-121.408276 7213 CALVIN DR,CITRUS HEIGHTS,95621,CA,3,1,1258,Residential,Mon May 19 00:00:00 EDT 2008,212000,38.698154,-121.298375 8167 DERBY PARK CT,SACRAMENTO,95828,CA,4,2,1872,Residential,Mon May 19 00:00:00 EDT 2008,213675,38.460492,-121.373379 6344 LAGUNA MIRAGE LN,ELK GROVE,95758,CA,2,2,1112,Residential,Mon May 19 00:00:00 EDT 2008,213697,38.423963,-121.428875 2945 RED HAWK WAY,SACRAMENTO,95833,CA,4,2,1856,Residential,Mon May 19 00:00:00 EDT 2008,215000,38.619675,-121.496903 3228 I ST,SACRAMENTO,95816,CA,4,3,1939,Residential,Mon May 19 00:00:00 EDT 2008,215000,38.573844,-121.462839 308 ATKINSON ST,ROSEVILLE,95678,CA,3,1,998,Residential,Mon May 19 00:00:00 EDT 2008,215100,38.746794,-121.29971 624 HOVEY WAY,ROSEVILLE,95678,CA,3,2,1758,Residential,Mon May 19 00:00:00 EDT 2008,217500,38.756149,-121.306479 110 COPPER LEAF WAY,SACRAMENTO,95838,CA,3,2,2142,Residential,Mon May 19 00:00:00 EDT 2008,218000,38.658466,-121.460661 7535 ALMA VISTA WAY,SACRAMENTO,95831,CA,2,1,950,Residential,Mon May 19 00:00:00 EDT 2008,220000,38.48403,-121.507641 7423 WILSALL CT,ELK GROVE,95758,CA,4,3,1739,Residential,Mon May 19 00:00:00 EDT 2008,221000,38.417026,-121.416821 8629 VIA ALTA WAY,ELK GROVE,95624,CA,3,2,1516,Residential,Mon May 19 00:00:00 EDT 2008,222900,38.398245,-121.380615 3318 DAVIDSON DR,ANTELOPE,95843,CA,3,1,988,Residential,Mon May 19 00:00:00 EDT 2008,223139,38.705753,-121.388917 913 COBDEN CT,GALT,95632,CA,4,2,1555,Residential,Mon May 19 00:00:00 EDT 2008,225500,38.282001,-121.295902 4419 79TH ST,SACRAMENTO,95820,CA,3,2,1212,Residential,Mon May 19 00:00:00 EDT 2008,228327,38.534827,-121.412545 3012 SPOONWOOD WAY,SACRAMENTO,95833,CA,4,2,1871,Residential,Mon May 19 00:00:00 EDT 2008,230000,38.62478,-121.523474 8728 CRYSTAL RIVER WAY,SACRAMENTO,95828,CA,3,2,1302,Residential,Mon May 19 00:00:00 EDT 2008,230000,38.47547,-121.380055 4709 AMBER LN Unit 1,SACRAMENTO,95841,CA,2,1,756,Condo,Mon May 19 00:00:00 EDT 2008,230522,38.657789,-121.354994 4508 OLD DAIRY DR,ANTELOPE,95843,CA,4,3,2026,Residential,Mon May 19 00:00:00 EDT 2008,231200,38.72286,-121.358939 312 RIVER ISLE WAY,SACRAMENTO,95831,CA,3,2,1375,Residential,Mon May 19 00:00:00 EDT 2008,232000,38.49026,-121.550527 301 OLIVADI WAY,SACRAMENTO,95834,CA,2,2,1250,Condo,Mon May 19 00:00:00 EDT 2008,232500,38.644406,-121.549049 5636 25TH ST,SACRAMENTO,95822,CA,3,1,1058,Residential,Mon May 19 00:00:00 EDT 2008,233641,38.523828,-121.481139 8721 SPRUCE RIDGE WAY,ANTELOPE,95843,CA,3,2,1187,Residential,Mon May 19 00:00:00 EDT 2008,234000,38.727657,-121.391028 7461 WINDBRIDGE DR,SACRAMENTO,95831,CA,2,2,1324,Residential,Mon May 19 00:00:00 EDT 2008,234500,38.48797,-121.530229 8101 LEMON COVE CT,SACRAMENTO,95828,CA,4,3,1936,Residential,Mon May 19 00:00:00 EDT 2008,235000,38.462981,-121.408288 10949 SCOTSMAN WAY,RANCHO CORDOVA,95670,CA,5,4,2382,Multi-Family,Mon May 19 00:00:00 EDT 2008,236000,38.603686,-121.277844 617 WILLOW CREEK DR,FOLSOM,95630,CA,3,2,1427,Residential,Mon May 19 00:00:00 EDT 2008,236073,38.679626,-121.142609 3301 PARK DR Unit 1914,SACRAMENTO,95835,CA,3,2,1678,Condo,Mon May 19 00:00:00 EDT 2008,238000,38.665296,-121.531993 709 CIMMARON CT,GALT,95632,CA,4,2,1798,Residential,Mon May 19 00:00:00 EDT 2008,238861,38.277177,-121.303747 3305 RIO ROCA CT,ANTELOPE,95843,CA,4,3,2652,Residential,Mon May 19 00:00:00 EDT 2008,239700,38.725079,-121.387698 9080 BEDROCK CT,SACRAMENTO,95829,CA,4,2,1816,Residential,Mon May 19 00:00:00 EDT 2008,240000,38.456939,-121.362965 100 TOURMALINE CIR,SACRAMENTO,95834,CA,5,3,3076,Residential,Mon May 19 00:00:00 EDT 2008,240000,38.63437,-121.510779 6411 RED BIRCH WAY,ELK GROVE,95758,CA,4,2,1844,Residential,Mon May 19 00:00:00 EDT 2008,241000,38.43461,-121.429316 4867 LAGUNA DR,SACRAMENTO,95823,CA,3,2,1306,Residential,Mon May 19 00:00:00 EDT 2008,245000,38.46179,-121.445371 3662 RIVER DR,SACRAMENTO,95833,CA,4,3,2447,Residential,Mon May 19 00:00:00 EDT 2008,246000,38.604969,-121.54255 6943 WOLFGRAM WAY,SACRAMENTO,95828,CA,4,2,1176,Residential,Mon May 19 00:00:00 EDT 2008,247234,38.489215,-121.419546 77 RINETTI WAY,RIO LINDA,95673,CA,4,2,1182,Residential,Mon May 19 00:00:00 EDT 2008,247480,38.687021,-121.463151 1316 I ST,RIO LINDA,95673,CA,3,1,1160,Residential,Mon May 19 00:00:00 EDT 2008,249862,38.683674,-121.435204 2130 CATHERWOOD WAY,SACRAMENTO,95835,CA,3,2,1424,Residential,Mon May 19 00:00:00 EDT 2008,251000,38.675506,-121.510987 8304 JUGLANS DR,ORANGEVALE,95662,CA,4,2,1574,Residential,Mon May 19 00:00:00 EDT 2008,252155,38.691829,-121.249033 5308 MARBURY WAY,ANTELOPE,95843,CA,3,2,1830,Residential,Mon May 19 00:00:00 EDT 2008,254172,38.710221,-121.341707 9182 LAKEMONT DR,ELK GROVE,95624,CA,4,2,1724,Residential,Mon May 19 00:00:00 EDT 2008,258000,38.451353,-121.358776 2231 COUNTRY VILLA CT,AUBURN,95603,CA,2,2,1255,Condo,Mon May 19 00:00:00 EDT 2008,260000,38.931671,-121.097862 8491 CRYSTAL WALK CIR,ELK GROVE,95758,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.416916,-121.407554 361 MAHONIA CIR,SACRAMENTO,95835,CA,4,3,2175,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.676172,-121.509761 3427 LA CADENA WAY,SACRAMENTO,95835,CA,4,2,1904,Residential,Mon May 19 00:00:00 EDT 2008,261000,38.681194,-121.537351 955 BIG SUR CT,EL DORADO HILLS,95762,CA,4,2,1808,Residential,Mon May 19 00:00:00 EDT 2008,262500,38.664347,-121.076529 11826 DIONYSUS WAY,RANCHO CORDOVA,95742,CA,4,2,2711,Residential,Mon May 19 00:00:00 EDT 2008,266000,38.551046,-121.239411 5847 DEL CAMPO LN,CARMICHAEL,95608,CA,3,1,1713,Residential,Mon May 19 00:00:00 EDT 2008,266000,38.671995,-121.324339 5635 FOXVIEW WAY,ELK GROVE,95757,CA,3,2,1457,Residential,Mon May 19 00:00:00 EDT 2008,270000,38.395256,-121.438249 10372 VIA CINTA CT,ELK GROVE,95757,CA,4,3,2724,Residential,Mon May 19 00:00:00 EDT 2008,274425,38.380089,-121.428186 6286 LONETREE BLVD,ROCKLIN,95765,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,274500,38.805036,-121.293608 7744 SOUTHBREEZE DR,SACRAMENTO,95828,CA,3,2,1468,Residential,Mon May 19 00:00:00 EDT 2008,275336,38.476932,-121.378349 2242 ABLE WAY,SACRAMENTO,95835,CA,4,3,2550,Residential,Mon May 19 00:00:00 EDT 2008,277980,38.666074,-121.509743 1042 STARBROOK DR,GALT,95632,CA,4,2,1928,Residential,Mon May 19 00:00:00 EDT 2008,280000,38.285611,-121.293063 1219 G ST,SACRAMENTO,95814,CA,3,3,1922,Residential,Mon May 19 00:00:00 EDT 2008,284686,38.582818,-121.489096 6220 OPUS CT,CITRUS HEIGHTS,95621,CA,3,2,1343,Residential,Mon May 19 00:00:00 EDT 2008,284893,38.715853,-121.317095 5419 HAVENHURST CIR,ROCKLIN,95677,CA,3,2,1510,Residential,Mon May 19 00:00:00 EDT 2008,285000,38.786746,-121.209957 220 OLD AIRPORT RD,AUBURN,95603,CA,2,2,960,Multi-Family,Mon May 19 00:00:00 EDT 2008,285000,38.939802,-121.054575 4622 MEYER WAY,CARMICHAEL,95608,CA,4,2,1559,Residential,Mon May 19 00:00:00 EDT 2008,285000,38.64913,-121.310667 4885 SUMMIT VIEW DR,EL DORADO,95623,CA,3,2,1624,Residential,Mon May 19 00:00:00 EDT 2008,289000,38.673285,-120.879176 26 JEANROSS CT,SACRAMENTO,95832,CA,5,3,2992,Residential,Mon May 19 00:00:00 EDT 2008,295000,38.473162,-121.491085 4800 MAPLEPLAIN AVE,ELK GROVE,95758,CA,4,2,2109,Residential,Mon May 19 00:00:00 EDT 2008,296000,38.432848,-121.449237 10629 BASIE WAY,RANCHO CORDOVA,95670,CA,4,2,1524,Residential,Mon May 19 00:00:00 EDT 2008,296056,38.579,-121.292627 8612 WILLOW GROVE WAY,SACRAMENTO,95828,CA,3,2,1248,Residential,Mon May 19 00:00:00 EDT 2008,297359,38.464994,-121.386962 62 DE FER CIR,SACRAMENTO,95823,CA,4,2,1876,Residential,Mon May 19 00:00:00 EDT 2008,299940,38.49254,-121.463316 2513 OLD KENMARE RD,LINCOLN,95648,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,304000,38.847396,-121.259586 3253 ABOTO WAY,RANCHO CORDOVA,95670,CA,4,3,1851,Residential,Mon May 19 00:00:00 EDT 2008,305000,38.57727,-121.285591 3072 VILLAGE PLAZA DR,ROSEVILLE,95747,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,307000,38.773094,-121.365905 251 CHANGO CIR,SACRAMENTO,95835,CA,4,2,2218,Residential,Mon May 19 00:00:00 EDT 2008,311328,38.68237,-121.539147 8205 WEYBURN CT,SACRAMENTO,95828,CA,3,2,1394,Residential,Mon May 19 00:00:00 EDT 2008,313138,38.47316,-121.403893 8788 LA MARGARITA WAY,SACRAMENTO,95828,CA,3,2,1410,Residential,Mon May 19 00:00:00 EDT 2008,316630,38.468185,-121.375694 5912 DEEPDALE WAY,ELK GROVE,95758,CA,5,3,3468,Residential,Mon May 19 00:00:00 EDT 2008,320000,38.439565,-121.436606 4712 PISMO BEACH DR,ANTELOPE,95843,CA,5,3,2346,Residential,Mon May 19 00:00:00 EDT 2008,320000,38.707705,-121.354153 4741 PACIFIC PARK DR,ANTELOPE,95843,CA,5,3,2347,Residential,Mon May 19 00:00:00 EDT 2008,325000,38.709299,-121.353056 310 GROTH CIR,SACRAMENTO,95834,CA,4,2,1659,Residential,Mon May 19 00:00:00 EDT 2008,328578,38.638764,-121.531827 6121 WILD FOX CT,ELK GROVE,95757,CA,3,3,2442,Residential,Mon May 19 00:00:00 EDT 2008,331000,38.406758,-121.431669 12241 CANYONLANDS DR,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,331500,38.557293,-121.217611 29 COOL FOUNTAIN CT,SACRAMENTO,95833,CA,4,2,2155,Residential,Mon May 19 00:00:00 EDT 2008,340000,38.606906,-121.54132 907 RIO ROBLES AVE,SACRAMENTO,95838,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,344755,38.664765,-121.445006 8909 BILLFISH WAY,SACRAMENTO,95828,CA,3,2,1810,Residential,Mon May 19 00:00:00 EDT 2008,345746,38.475433,-121.372584 6232 GUS WAY,ELK GROVE,95757,CA,4,2,2789,Residential,Mon May 19 00:00:00 EDT 2008,351000,38.388129,-121.43117 200 OAKWILDE ST,GALT,95632,CA,4,2,1606,Residential,Mon May 19 00:00:00 EDT 2008,353767,38.2535,-121.31812 1033 PARK STREAM DR,GALT,95632,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,355000,38.287785,-121.289903 200 ALLAIRE CIR,SACRAMENTO,95835,CA,4,2,2166,Residential,Mon May 19 00:00:00 EDT 2008,356035,38.68318,-121.53484 1322 SUTTER WALK,SACRAMENTO,95816,CA,0,0,0,Condo,Mon May 19 00:00:00 EDT 2008,360000,38.53805,-121.5047 5479 NICKMAN WAY,SACRAMENTO,95835,CA,4,2,1871,Residential,Mon May 19 00:00:00 EDT 2008,360552,38.672966,-121.502748 2103 BURBERRY WAY,SACRAMENTO,95835,CA,3,2,1800,Residential,Mon May 19 00:00:00 EDT 2008,362305,38.67342,-121.508542 2450 SAN JOSE WAY,SACRAMENTO,95817,CA,3,1,1683,Residential,Mon May 19 00:00:00 EDT 2008,365000,38.553596,-121.459483 7641 ROSEHALL DR,ROSEVILLE,95678,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,367554,38.791617,-121.286147 1336 LAYSAN TEAL DR,ROSEVILLE,95747,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,368500,38.796121,-121.319963 2802 BLACK OAK DR,ROCKLIN,95765,CA,2,2,1596,Residential,Mon May 19 00:00:00 EDT 2008,370000,38.837006,-121.232024 2113 FALL TRAIL CT,PLACERVILLE,95667,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,371086,38.733155,-120.748039 10112 LAMBEAU CT,ELK GROVE,95757,CA,3,2,1179,Residential,Mon May 19 00:00:00 EDT 2008,378000,38.390328,-121.448022 6313 CASTRO VERDE WAY,ELK GROVE,95757,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,383000,38.381102,-121.42901 3622 CURTIS DR,SACRAMENTO,95818,CA,3,1,1639,Residential,Mon May 19 00:00:00 EDT 2008,388000,38.541735,-121.480098 11817 OPAL RIDGE WAY,RANCHO CORDOVA,95742,CA,5,3,3281,Residential,Mon May 19 00:00:00 EDT 2008,395100,38.551083,-121.237476 170 LAGOMARSINO WAY,SACRAMENTO,95819,CA,3,2,1697,Residential,Mon May 19 00:00:00 EDT 2008,400000,38.574894,-121.435806 2743 DEAKIN PL,EL DORADO HILLS,95762,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,400000,38.69288,-121.073551 3361 ALDER CANYON WAY,ANTELOPE,95843,CA,4,3,2085,Residential,Mon May 19 00:00:00 EDT 2008,408431,38.727649,-121.385656 2148 RANCH VIEW DR,ROCKLIN,95765,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,413000,38.837455,-121.289337 398 LINDLEY DR,SACRAMENTO,95815,CA,4,2,1744,Multi-Family,Mon May 19 00:00:00 EDT 2008,416767,38.622359,-121.457582 3013 BRIDLEWOOD DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Mon May 19 00:00:00 EDT 2008,420000,38.675519,-121.015862 169 BAURER CIR,FOLSOM,95630,CA,4,3,1939,Residential,Mon May 19 00:00:00 EDT 2008,423000,38.66695,-121.120729 2809 LOON CT,CAMERON PARK,95682,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,423000,38.687072,-121.004729 1315 KONDOS AVE,SACRAMENTO,95814,CA,2,3,1788,Residential,Mon May 19 00:00:00 EDT 2008,427500,38.571943,-121.492106 4966 CHARTER RD,ROCKLIN,95765,CA,3,2,1691,Residential,Mon May 19 00:00:00 EDT 2008,430922,38.82553,-121.254698 9516 LAGUNA LAKE WAY,ELK GROVE,95758,CA,4,2,2002,Residential,Mon May 19 00:00:00 EDT 2008,445000,38.411258,-121.431348 5201 BLOSSOM RANCH DR,ELK GROVE,95757,CA,4,4,4303,Residential,Mon May 19 00:00:00 EDT 2008,450000,38.399436,-121.444041 3027 PALMATE WAY,SACRAMENTO,95834,CA,5,3,4246,Residential,Mon May 19 00:00:00 EDT 2008,452000,38.628955,-121.529269 500 WINCHESTER CT,ROSEVILLE,95661,CA,3,2,2274,Residential,Mon May 19 00:00:00 EDT 2008,470000,38.73988,-121.248929 5746 GELSTON WAY,EL DORADO HILLS,95762,CA,4,3,0,Residential,Mon May 19 00:00:00 EDT 2008,471000,38.677015,-121.034083 6935 ELM TREE LN,ORANGEVALE,95662,CA,4,4,3056,Residential,Mon May 19 00:00:00 EDT 2008,475000,38.693041,-121.23294 9605 GOLF COURSE LN,ELK GROVE,95758,CA,3,3,2503,Residential,Mon May 19 00:00:00 EDT 2008,484500,38.409689,-121.446059 719 BAYWOOD CT,EL DORADO HILLS,95762,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,487500,38.647598,-121.077801 5954 TANUS CIR,ROCKLIN,95677,CA,3,3,0,Residential,Mon May 19 00:00:00 EDT 2008,488750,38.777585,-121.2036 100 CHELSEA CT,FOLSOM,95630,CA,3,2,1905,Residential,Mon May 19 00:00:00 EDT 2008,500000,38.69435,-121.177259 1500 ORANGE HILL LN,PENRYN,95663,CA,3,2,1320,Residential,Mon May 19 00:00:00 EDT 2008,506688,38.862708,-121.162092 408 KIRKWOOD CT,LINCOLN,95648,CA,2,2,0,Residential,Mon May 19 00:00:00 EDT 2008,512000,38.861615,-121.26869 1732 TUSCAN GROVE CIR,ROSEVILLE,95747,CA,5,3,0,Residential,Mon May 19 00:00:00 EDT 2008,520000,38.796683,-121.342555 2049 EMPIRE MINE CIR,GOLD RIVER,95670,CA,4,2,3037,Residential,Mon May 19 00:00:00 EDT 2008,528000,38.629299,-121.249021 9360 MAGOS RD,WILTON,95693,CA,5,2,3741,Residential,Mon May 19 00:00:00 EDT 2008,579093,38.416809,-121.240628 104 CATLIN CT,FOLSOM,95630,CA,4,3,2660,Residential,Mon May 19 00:00:00 EDT 2008,636000,38.684459,-121.145935 4734 GIBBONS DR,CARMICHAEL,95608,CA,4,3,3357,Residential,Mon May 19 00:00:00 EDT 2008,668365,38.63558,-121.353639 4629 DORCHESTER LN,GRANITE BAY,95746,CA,5,3,2896,Residential,Mon May 19 00:00:00 EDT 2008,676200,38.723545,-121.216025 2400 COUNTRYSIDE DR,PLACERVILLE,95667,CA,3,2,2025,Residential,Mon May 19 00:00:00 EDT 2008,677048,38.737452,-120.910963 12901 FURLONG DR,WILTON,95693,CA,5,3,3788,Residential,Mon May 19 00:00:00 EDT 2008,691659,38.413535,-121.188211 6222 CALLE MONTALVO CIR,GRANITE BAY,95746,CA,5,3,3670,Residential,Mon May 19 00:00:00 EDT 2008,760000,38.779435,-121.146676 20 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885327,-121.289412 24 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885132,-121.289405 28 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884936,-121.289397 32 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884741,-121.28939 36 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884599,-121.289406 40 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884535,-121.289619 44 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88459,-121.289835 48 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884667,-121.289896 52 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88478,-121.289911 68 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885236,-121.289928 72 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88535,-121.289926 76 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885464,-121.289922 80 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885578,-121.289919 84 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885692,-121.289915 88 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885806,-121.289911 92 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88592,-121.289908 96 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886024,-121.289859 100 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886091,-121.289744 434 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88653,-121.289406 3 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884692,-121.290288 11 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884879,-121.290257 19 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885017,-121.290262 27 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885173,-121.29027 35 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885328,-121.290275 43 E ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885483,-121.290277 51 E ST,LINCOLN,95648,CA,4,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885638,-121.290279 59 E ST,LINCOLN,95648,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885794,-121.290281 75 E ST,LINCOLN,95648,CA,3,2,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886104,-121.290285 63 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885093,-121.289932 398 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88653,-121.288952 386 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886528,-121.288869 374 1ST ST,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886525,-121.288787 116 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289586 108 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289646 100 CRYSTALWOOD WAY,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886282,-121.289706 55 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884865,-121.289922 51 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884752,-121.289907 47 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884638,-121.289893 43 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884568,-121.289784 39 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884546,-121.289562 35 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884645,-121.289397 31 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.88479,-121.289392 27 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.884985,-121.289399 23 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885181,-121.289406 19 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885376,-121.289414 15 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885571,-121.289421 7 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885962,-121.289436 7 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.885962,-121.289436 3 CRYSTALWOOD CIR,LINCOLN,95648,CA,0,0,0,Residential,Mon May 19 00:00:00 EDT 2008,4897,38.886093,-121.289584 8208 WOODYARD WAY,CITRUS HEIGHTS,95621,CA,3,2,1166,Residential,Fri May 16 00:00:00 EDT 2008,30000,38.715322,-121.314787 113 RINETTI WAY,RIO LINDA,95673,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,30000,38.687172,-121.463933 15 LOORZ CT,SACRAMENTO,95823,CA,2,1,838,Residential,Fri May 16 00:00:00 EDT 2008,55422,38.471646,-121.435158 5805 DOTMAR WAY,NORTH HIGHLANDS,95660,CA,2,1,904,Residential,Fri May 16 00:00:00 EDT 2008,63000,38.672642,-121.380343 2332 CAMBRIDGE ST,SACRAMENTO,95815,CA,2,1,1032,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.608085,-121.449651 3812 BELDEN ST,SACRAMENTO,95838,CA,2,1,904,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.636833,-121.44164 3348 40TH ST,SACRAMENTO,95817,CA,2,1,1080,Residential,Fri May 16 00:00:00 EDT 2008,65000,38.544162,-121.460652 127 QUASAR CIR,SACRAMENTO,95822,CA,2,2,990,Residential,Fri May 16 00:00:00 EDT 2008,66500,38.493504,-121.475304 3812 CYPRESS ST,SACRAMENTO,95838,CA,2,1,900,Residential,Fri May 16 00:00:00 EDT 2008,71000,38.636877,-121.444948 5821 64TH ST,SACRAMENTO,95824,CA,2,1,861,Residential,Fri May 16 00:00:00 EDT 2008,75000,38.521202,-121.428146 8248 CENTER PKWY,SACRAMENTO,95823,CA,2,1,906,Condo,Fri May 16 00:00:00 EDT 2008,77000,38.459002,-121.428794 1171 SONOMA AVE,SACRAMENTO,95815,CA,2,1,1011,Residential,Fri May 16 00:00:00 EDT 2008,85000,38.6238,-121.439872 4250 ARDWELL WAY,SACRAMENTO,95823,CA,3,2,1089,Residential,Fri May 16 00:00:00 EDT 2008,95625,38.466938,-121.455631 3104 CLAY ST,SACRAMENTO,95815,CA,2,1,832,Residential,Fri May 16 00:00:00 EDT 2008,96140,38.62391,-121.439208 6063 LAND PARK DR,SACRAMENTO,95822,CA,2,1,800,Condo,Fri May 16 00:00:00 EDT 2008,104250,38.517029,-121.513809 4738 OAKHOLLOW DR,SACRAMENTO,95842,CA,4,2,1292,Residential,Fri May 16 00:00:00 EDT 2008,105000,38.679598,-121.356035 1401 STERLING ST,SACRAMENTO,95822,CA,2,1,810,Residential,Fri May 16 00:00:00 EDT 2008,108000,38.520319,-121.504727 3715 DIDCOT CIR,SACRAMENTO,95838,CA,4,2,1064,Residential,Fri May 16 00:00:00 EDT 2008,109000,38.635232,-121.460098 2426 RASHAWN DR,RANCHO CORDOVA,95670,CA,2,1,911,Residential,Fri May 16 00:00:00 EDT 2008,115000,38.610852,-121.273278 4800 WESTLAKE PKWY Unit 410,SACRAMENTO,95835,CA,1,1,846,Condo,Fri May 16 00:00:00 EDT 2008,115000,38.658812,-121.542345 3409 VIRGO ST,SACRAMENTO,95827,CA,3,2,1320,Residential,Fri May 16 00:00:00 EDT 2008,115500,38.563402,-121.327747 1110 PINEDALE AVE,SACRAMENTO,95838,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,115620,38.660173,-121.440216 2361 LA LOMA DR,RANCHO CORDOVA,95670,CA,3,2,1115,Residential,Fri May 16 00:00:00 EDT 2008,116000,38.59368,-121.316054 1455 64TH AVE,SACRAMENTO,95822,CA,3,2,1169,Residential,Fri May 16 00:00:00 EDT 2008,122000,38.492177,-121.503392 7328 SPRINGMAN ST,SACRAMENTO,95822,CA,3,2,1164,Residential,Fri May 16 00:00:00 EDT 2008,122500,38.491991,-121.477636 119 SAINT MARIE CIR,SACRAMENTO,95823,CA,4,2,1341,Residential,Fri May 16 00:00:00 EDT 2008,123000,38.481454,-121.446644 12 COSTA BRASE CT,SACRAMENTO,95838,CA,3,2,1219,Residential,Fri May 16 00:00:00 EDT 2008,124000,38.655554,-121.464275 6813 SCOTER WAY,SACRAMENTO,95842,CA,4,2,1127,Residential,Fri May 16 00:00:00 EDT 2008,124000,38.69043,-121.361035 6548 GRAYLOCK LN,NORTH HIGHLANDS,95660,CA,3,2,1272,Residential,Fri May 16 00:00:00 EDT 2008,124413,38.686061,-121.369949 1630 GLIDDEN AVE,SACRAMENTO,95822,CA,4,2,1253,Residential,Fri May 16 00:00:00 EDT 2008,125000,38.482717,-121.499683 7825 DALEWOODS WAY,SACRAMENTO,95828,CA,3,2,1120,Residential,Fri May 16 00:00:00 EDT 2008,130000,38.477297,-121.411513 4073 TRESLER AVE,NORTH HIGHLANDS,95660,CA,2,2,1118,Residential,Fri May 16 00:00:00 EDT 2008,131750,38.659016,-121.370457 4288 DYMIC WAY,SACRAMENTO,95838,CA,4,3,1890,Residential,Fri May 16 00:00:00 EDT 2008,137721,38.646541,-121.441139 1158 SAN IGNACIO WAY,SACRAMENTO,95833,CA,3,2,1260,Residential,Fri May 16 00:00:00 EDT 2008,137760,38.623045,-121.486279 4904 J PKWY,SACRAMENTO,95823,CA,3,2,1400,Residential,Fri May 16 00:00:00 EDT 2008,138000,38.487297,-121.44295 2931 HOWE AVE,SACRAMENTO,95821,CA,3,1,1264,Residential,Fri May 16 00:00:00 EDT 2008,140000,38.619012,-121.415329 5531 JANSEN DR,SACRAMENTO,95824,CA,3,1,1060,Residential,Fri May 16 00:00:00 EDT 2008,145000,38.522015,-121.438713 7836 ORCHARD WOODS CIR,SACRAMENTO,95828,CA,2,2,1132,Residential,Fri May 16 00:00:00 EDT 2008,145000,38.47955,-121.410867 4055 DEERBROOK DR,SACRAMENTO,95823,CA,3,2,1466,Residential,Fri May 16 00:00:00 EDT 2008,150000,38.472117,-121.459589 9937 BURLINE ST,SACRAMENTO,95827,CA,3,2,1092,Residential,Fri May 16 00:00:00 EDT 2008,150000,38.559641,-121.32316 6948 MIRADOR WAY,SACRAMENTO,95828,CA,4,2,1628,Residential,Fri May 16 00:00:00 EDT 2008,151000,38.493484,-121.42035 4909 RUGER CT,SACRAMENTO,95842,CA,3,2,960,Residential,Fri May 16 00:00:00 EDT 2008,155000,38.68747,-121.349234 7204 KERSTEN ST,CITRUS HEIGHTS,95621,CA,3,2,1075,Residential,Fri May 16 00:00:00 EDT 2008,155800,38.695863,-121.300814 3150 ROSEMONT DR,SACRAMENTO,95826,CA,3,2,1428,Residential,Fri May 16 00:00:00 EDT 2008,156142,38.554927,-121.35521 8200 STEINBECK WAY,SACRAMENTO,95828,CA,4,2,1358,Residential,Fri May 16 00:00:00 EDT 2008,158000,38.474854,-121.404726 8198 STEVENSON AVE,SACRAMENTO,95828,CA,6,4,2475,Multi-Family,Fri May 16 00:00:00 EDT 2008,159900,38.465271,-121.40426 6824 OLIVE TREE WAY,CITRUS HEIGHTS,95610,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,160000,38.689239,-121.267737 3536 SUN MAIDEN WAY,ANTELOPE,95843,CA,3,2,1711,Residential,Fri May 16 00:00:00 EDT 2008,161500,38.70968,-121.382328 4517 OLYMPIAD WAY,SACRAMENTO,95826,CA,4,2,1483,Residential,Fri May 16 00:00:00 EDT 2008,161600,38.536751,-121.359154 925 COBDEN CT,GALT,95632,CA,3,2,1140,Residential,Fri May 16 00:00:00 EDT 2008,162000,38.282047,-121.295812 8225 SCOTTSDALE DR,SACRAMENTO,95828,CA,4,2,1549,Residential,Fri May 16 00:00:00 EDT 2008,165000,38.487864,-121.402476 8758 LEMAS RD,SACRAMENTO,95828,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,165000,38.467487,-121.377055 6121 ALPINESPRING WAY,ELK GROVE,95758,CA,3,2,1240,Residential,Fri May 16 00:00:00 EDT 2008,167293,38.434075,-121.432623 5937 YORK GLEN WAY,SACRAMENTO,95842,CA,5,2,1712,Residential,Fri May 16 00:00:00 EDT 2008,168000,38.677003,-121.354454 6417 SUNNYFIELD WAY,SACRAMENTO,95823,CA,4,2,1580,Residential,Fri May 16 00:00:00 EDT 2008,168000,38.449153,-121.428272 4008 GREY LIVERY WAY,ANTELOPE,95843,CA,3,2,1669,Residential,Fri May 16 00:00:00 EDT 2008,168750,38.71846,-121.370862 8920 ROSETTA CIR,SACRAMENTO,95826,CA,3,1,1029,Residential,Fri May 16 00:00:00 EDT 2008,168750,38.544374,-121.370874 8300 LICHEN DR,CITRUS HEIGHTS,95621,CA,3,1,1103,Residential,Fri May 16 00:00:00 EDT 2008,170000,38.71641,-121.306239 8884 AMBERJACK WAY,SACRAMENTO,95828,CA,3,2,2161,Residential,Fri May 16 00:00:00 EDT 2008,170250,38.479343,-121.372553 4480 VALLEY HI DR,SACRAMENTO,95823,CA,3,2,1650,Residential,Fri May 16 00:00:00 EDT 2008,173000,38.466781,-121.450955 2250 FOREBAY RD,POLLOCK PINES,95726,CA,3,1,1320,Residential,Fri May 16 00:00:00 EDT 2008,175000,38.77491,-120.597599 3529 FABERGE WAY,SACRAMENTO,95826,CA,3,2,1200,Residential,Fri May 16 00:00:00 EDT 2008,176095,38.553275,-121.346218 1792 DAWNELLE WAY,SACRAMENTO,95835,CA,3,2,1170,Residential,Fri May 16 00:00:00 EDT 2008,176250,38.68271,-121.501697 7800 TABARE CT,CITRUS HEIGHTS,95621,CA,3,2,1199,Residential,Fri May 16 00:00:00 EDT 2008,178000,38.70799,-121.302979 8531 HERMITAGE WAY,SACRAMENTO,95823,CA,4,2,1695,Residential,Fri May 16 00:00:00 EDT 2008,179000,38.448452,-121.428536 2421 BERRYWOOD DR,RANCHO CORDOVA,95670,CA,3,2,1157,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.60868,-121.27849 1005 MORENO WAY,SACRAMENTO,95838,CA,3,2,1410,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.646206,-121.442767 1675 VERNON ST Unit 24,ROSEVILLE,95678,CA,3,2,1174,Residential,Fri May 16 00:00:00 EDT 2008,180000,38.734136,-121.299639 24 WINDCHIME CT,SACRAMENTO,95823,CA,3,2,1593,Residential,Fri May 16 00:00:00 EDT 2008,181000,38.44617,-121.427824 540 HARLING CT,RIO LINDA,95673,CA,3,2,1093,Residential,Fri May 16 00:00:00 EDT 2008,182000,38.68279,-121.453509 1207 CRESCENDO DR,ROSEVILLE,95678,CA,3,2,1770,Residential,Fri May 16 00:00:00 EDT 2008,182587,38.72446,-121.292829 7577 EDDYLEE WAY,SACRAMENTO,95822,CA,4,2,1436,Residential,Fri May 16 00:00:00 EDT 2008,185074,38.48291,-121.491509 8369 FOPPIANO WAY,SACRAMENTO,95829,CA,3,2,1124,Residential,Fri May 16 00:00:00 EDT 2008,185833,38.453839,-121.357919 8817 SAWTELLE WAY,SACRAMENTO,95826,CA,4,2,1139,Residential,Fri May 16 00:00:00 EDT 2008,186785,38.565322,-121.374251 1910 BONAVISTA WAY,SACRAMENTO,95832,CA,3,2,1638,Residential,Fri May 16 00:00:00 EDT 2008,187000,38.476048,-121.494961 8 TIDE CT,SACRAMENTO,95833,CA,3,2,1328,Residential,Fri May 16 00:00:00 EDT 2008,188335,38.609864,-121.492304 8952 ROCKY CREEK CT,ELK GROVE,95758,CA,3,2,1273,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.431239,-121.44001 435 EXCHANGE ST,SACRAMENTO,95838,CA,3,1,1082,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.659434,-121.455236 10105 MONTE VALLO CT,SACRAMENTO,95827,CA,4,2,1578,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.573917,-121.316916 3930 ANNABELLE AVE,ROSEVILLE,95661,CA,2,1,796,Residential,Fri May 16 00:00:00 EDT 2008,190000,38.727609,-121.226494 4854 TANGERINE AVE,SACRAMENTO,95823,CA,3,2,1386,Residential,Fri May 16 00:00:00 EDT 2008,191250,38.478239,-121.446326 2909 SHAWN WAY,RANCHO CORDOVA,95670,CA,3,2,1452,Residential,Fri May 16 00:00:00 EDT 2008,193000,38.589925,-121.299059 4290 BLACKFORD WAY,SACRAMENTO,95823,CA,3,2,1513,Residential,Fri May 16 00:00:00 EDT 2008,193500,38.470494,-121.454162 5890 TT TRAK,FORESTHILL,95631,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,194818,39.020808,-120.821518 7015 WOODSIDE DR,SACRAMENTO,95842,CA,4,2,1578,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.693071,-121.332365 6019 CHESHIRE WAY,CITRUS HEIGHTS,95610,CA,4,3,1736,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.676437,-121.279165 3330 VILLAGE CT,CAMERON PARK,95682,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.690504,-120.996245 2561 VERNA WAY,SACRAMENTO,95821,CA,3,1,1473,Residential,Fri May 16 00:00:00 EDT 2008,195000,38.611055,-121.369964 3522 22ND AVE,SACRAMENTO,95820,CA,3,1,1150,Residential,Fri May 16 00:00:00 EDT 2008,198000,38.532725,-121.469078 2880 CANDIDO DR,SACRAMENTO,95833,CA,3,2,1127,Residential,Fri May 16 00:00:00 EDT 2008,199900,38.618019,-121.510215 6908 PIN OAK CT,FAIR OAKS,95628,CA,3,1,1144,Residential,Fri May 16 00:00:00 EDT 2008,200000,38.66424,-121.303675 5733 ANGELINA AVE,CARMICHAEL,95608,CA,3,1,972,Residential,Fri May 16 00:00:00 EDT 2008,201000,38.622634,-121.330846 7849 BONNY DOWNS WAY,ELK GROVE,95758,CA,4,2,2306,Residential,Fri May 16 00:00:00 EDT 2008,204918,38.42139,-121.411339 8716 LONGSPUR WAY,ANTELOPE,95843,CA,3,2,1479,Residential,Fri May 16 00:00:00 EDT 2008,205000,38.724083,-121.3584 6320 EL DORADO ST,EL DORADO,95623,CA,2,1,1040,Residential,Fri May 16 00:00:00 EDT 2008,205000,38.678758,-120.844118 2328 DOROTHY JUNE WAY,SACRAMENTO,95838,CA,3,2,1430,Residential,Fri May 16 00:00:00 EDT 2008,205878,38.641727,-121.412703 1986 DANVERS WAY,SACRAMENTO,95832,CA,4,2,1800,Residential,Fri May 16 00:00:00 EDT 2008,207000,38.47723,-121.492568 7901 GAZELLE TRAIL WAY,ANTELOPE,95843,CA,4,2,1953,Residential,Fri May 16 00:00:00 EDT 2008,207744,38.71174,-121.342675 6080 BRIDGECROSS DR,SACRAMENTO,95835,CA,3,2,1120,Residential,Fri May 16 00:00:00 EDT 2008,209000,38.681952,-121.505009 20 GROTH CIR,SACRAMENTO,95834,CA,3,2,1232,Residential,Fri May 16 00:00:00 EDT 2008,210000,38.640807,-121.533522 1900 DANBROOK DR,SACRAMENTO,95835,CA,1,1,984,Condo,Fri May 16 00:00:00 EDT 2008,210944,38.668433,-121.503471 140 VENTO CT,ROSEVILLE,95678,CA,3,2,0,Condo,Fri May 16 00:00:00 EDT 2008,212500,38.793533,-121.289685 8442 KEUSMAN ST,ELK GROVE,95758,CA,4,2,2329,Residential,Fri May 16 00:00:00 EDT 2008,213750,38.449651,-121.414704 9552 SUNLIGHT LN,ELK GROVE,95758,CA,3,2,1351,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.410561,-121.404327 2733 YUMA CT,CAMERON PARK,95682,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.691215,-120.994949 1407 TIFFANY CIR,ROSEVILLE,95661,CA,4,1,1376,Residential,Fri May 16 00:00:00 EDT 2008,215000,38.736392,-121.2664 636 CRESTVIEW DR,DIAMOND SPRINGS,95619,CA,3,2,1300,Residential,Fri May 16 00:00:00 EDT 2008,216033,38.688255,-120.810235 1528 HESKET WAY,SACRAMENTO,95825,CA,4,2,1566,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.593598,-121.403637 2327 32ND ST,SACRAMENTO,95817,CA,2,1,1115,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.557433,-121.47034 1833 2ND AVE,SACRAMENTO,95818,CA,2,1,1032,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.556818,-121.490669 7252 CARRIAGE DR,CITRUS HEIGHTS,95621,CA,4,2,1419,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.698058,-121.294893 9815 PASO FINO WAY,ELK GROVE,95757,CA,3,2,1261,Residential,Fri May 16 00:00:00 EDT 2008,220000,38.404888,-121.443998 5532 ENGLE RD,CARMICHAEL,95608,CA,2,2,1637,Residential,Fri May 16 00:00:00 EDT 2008,220702,38.63173,-121.335286 1139 CLINTON RD,SACRAMENTO,95825,CA,4,2,1776,Multi-Family,Fri May 16 00:00:00 EDT 2008,221250,38.585291,-121.406824 9176 SAGE GLEN WAY,ELK GROVE,95758,CA,3,2,1338,Residential,Fri May 16 00:00:00 EDT 2008,222000,38.423913,-121.439115 9967 HATHERTON WAY,ELK GROVE,95757,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,222500,38.3052,-121.4033 9264 BOULDER RIVER WAY,ELK GROVE,95624,CA,5,2,2254,Residential,Fri May 16 00:00:00 EDT 2008,222750,38.421713,-121.345191 320 GROTH CIR,SACRAMENTO,95834,CA,3,2,1441,Residential,Fri May 16 00:00:00 EDT 2008,225000,38.638882,-121.531883 137 GUNNISON AVE,SACRAMENTO,95838,CA,4,2,1991,Residential,Fri May 16 00:00:00 EDT 2008,225000,38.650729,-121.466483 8209 RIVALLO WAY,SACRAMENTO,95829,CA,4,3,2126,Residential,Fri May 16 00:00:00 EDT 2008,228750,38.459524,-121.3501 8637 PERIWINKLE CIR,ELK GROVE,95624,CA,3,2,1094,Residential,Fri May 16 00:00:00 EDT 2008,229000,38.443184,-121.364388 3425 MEADOW WAY,ROCKLIN,95677,CA,3,2,1462,Residential,Fri May 16 00:00:00 EDT 2008,230095,38.798028,-121.235364 107 JARVIS CIR,SACRAMENTO,95834,CA,5,3,2258,Residential,Fri May 16 00:00:00 EDT 2008,232500,38.639891,-121.537603 2319 THORES ST,RANCHO CORDOVA,95670,CA,3,2,1074,Residential,Fri May 16 00:00:00 EDT 2008,233000,38.59675,-121.312716 8935 MOUNTAIN HOME CT,ELK GROVE,95624,CA,4,2,2111,Residential,Fri May 16 00:00:00 EDT 2008,233500,38.38751,-121.370276 2566 SERENATA WAY,SACRAMENTO,95835,CA,3,2,1686,Residential,Fri May 16 00:00:00 EDT 2008,239000,38.671556,-121.520916 4085 COUNTRY DR,ANTELOPE,95843,CA,4,3,1915,Residential,Fri May 16 00:00:00 EDT 2008,240000,38.706209,-121.369509 9297 TROUT WAY,ELK GROVE,95624,CA,4,2,2367,Residential,Fri May 16 00:00:00 EDT 2008,240000,38.420637,-121.375798 7 ARCHIBALD CT,SACRAMENTO,95823,CA,3,2,1962,Residential,Fri May 16 00:00:00 EDT 2008,240971,38.443305,-121.435296 11130 EEL RIVER CT,RANCHO CORDOVA,95670,CA,2,2,1406,Residential,Fri May 16 00:00:00 EDT 2008,242000,38.625932,-121.271517 8323 REDBANK WAY,SACRAMENTO,95829,CA,3,2,1789,Residential,Fri May 16 00:00:00 EDT 2008,243450,38.455753,-121.349273 16 BRONCO CREEK CT,SACRAMENTO,95835,CA,4,2,1876,Residential,Fri May 16 00:00:00 EDT 2008,243500,38.674226,-121.525497 8316 NORTHAM DR,ANTELOPE,95843,CA,3,2,1235,Residential,Fri May 16 00:00:00 EDT 2008,246544,38.720767,-121.376678 4240 WINJE DR,ANTELOPE,95843,CA,4,2,2504,Residential,Fri May 16 00:00:00 EDT 2008,246750,38.70884,-121.359559 3569 SODA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,247000,38.631139,-121.501879 5118 ROBANDER ST,CARMICHAEL,95608,CA,3,2,1676,Residential,Fri May 16 00:00:00 EDT 2008,247000,38.657267,-121.310352 5976 KYLENCH CT,CITRUS HEIGHTS,95621,CA,3,2,1367,Residential,Fri May 16 00:00:00 EDT 2008,249000,38.708966,-121.32467 9247 DELAIR WAY,ELK GROVE,95758,CA,4,3,1899,Residential,Fri May 16 00:00:00 EDT 2008,249000,38.422241,-121.458022 9054 DESCENDANT DR,ELK GROVE,95758,CA,3,2,1636,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.428852,-121.415628 3450 WHITNOR CT,SACRAMENTO,95821,CA,3,2,1828,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.627698,-121.369698 6288 LONETREE BLVD,ROCKLIN,95765,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,250000,38.804993,-121.293609 9355 MATADOR WAY,SACRAMENTO,95826,CA,4,2,1438,Residential,Fri May 16 00:00:00 EDT 2008,252000,38.555633,-121.350691 8671 SUMMER SUN WAY,ELK GROVE,95624,CA,3,2,1451,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.442845,-121.373272 1890 GENEVA PL,SACRAMENTO,95825,CA,3,1,1520,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.599449,-121.400305 1813 AVENIDA MARTINA,ROSEVILLE,95747,CA,3,2,1506,Residential,Fri May 16 00:00:00 EDT 2008,255000,38.776649,-121.339589 191 BARNHART CIR,SACRAMENTO,95835,CA,4,2,2605,Residential,Fri May 16 00:00:00 EDT 2008,257200,38.675594,-121.515878 6221 GREEN TOP WAY,ORANGEVALE,95662,CA,3,2,1196,Residential,Fri May 16 00:00:00 EDT 2008,260000,38.679409,-121.219107 2298 PRIMROSE LN,LINCOLN,95648,CA,3,2,1621,Residential,Fri May 16 00:00:00 EDT 2008,260000,38.89918,-121.322514 5635 LOS PUEBLOS WAY,SACRAMENTO,95835,CA,3,2,1811,Residential,Fri May 16 00:00:00 EDT 2008,263500,38.679191,-121.537622 10165 LOFTON WAY,ELK GROVE,95757,CA,3,2,1540,Residential,Fri May 16 00:00:00 EDT 2008,266510,38.387708,-121.436522 1251 GREEN RAVINE DR,LINCOLN,95648,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,267750,38.88156,-121.301343 6001 SHOO FLY RD,PLACERVILLE,95667,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,270000,38.813546,-120.809254 3040 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,271000,38.770835,-121.366996 2674 TAM O SHANTER DR,EL DORADO HILLS,95762,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,272700,38.695801,-121.079216 6007 MARYBELLE LN,SHINGLE SPRINGS,95682,CA,0,0,0,Unkown,Fri May 16 00:00:00 EDT 2008,275000,38.64347,-120.888183 9949 NESTLING CIR,ELK GROVE,95757,CA,3,2,1543,Residential,Fri May 16 00:00:00 EDT 2008,275000,38.397455,-121.468391 2915 HOLDREGE WAY,SACRAMENTO,95835,CA,5,3,2494,Residential,Fri May 16 00:00:00 EDT 2008,276000,38.663728,-121.525833 2678 BRIARTON DR,LINCOLN,95648,CA,3,2,1650,Residential,Fri May 16 00:00:00 EDT 2008,276500,38.844116,-121.274806 294 SPARROW DR,GALT,95632,CA,4,3,2214,Residential,Fri May 16 00:00:00 EDT 2008,278000,38.258976,-121.321266 2987 DIORITE WAY,SACRAMENTO,95835,CA,5,3,2280,Residential,Fri May 16 00:00:00 EDT 2008,279000,38.667332,-121.528276 6326 APPIAN WAY,CARMICHAEL,95608,CA,3,2,1443,Residential,Fri May 16 00:00:00 EDT 2008,280000,38.66266,-121.316858 6905 COBALT WAY,CITRUS HEIGHTS,95621,CA,4,2,1582,Residential,Fri May 16 00:00:00 EDT 2008,280000,38.691393,-121.305215 8986 HAFLINGER WAY,ELK GROVE,95757,CA,3,2,1857,Residential,Fri May 16 00:00:00 EDT 2008,285000,38.397923,-121.450219 2916 BABSON DR,ELK GROVE,95758,CA,3,2,1735,Residential,Fri May 16 00:00:00 EDT 2008,288000,38.417191,-121.473897 10133 NEBBIOLO CT,ELK GROVE,95624,CA,4,3,2096,Residential,Fri May 16 00:00:00 EDT 2008,289000,38.391085,-121.347231 1103 COMMONS DR,SACRAMENTO,95825,CA,3,2,1720,Residential,Fri May 16 00:00:00 EDT 2008,290000,38.567865,-121.410699 4636 TEAL BAY CT,ANTELOPE,95843,CA,4,2,2160,Residential,Fri May 16 00:00:00 EDT 2008,290000,38.704554,-121.354753 1524 YOUNGS AVE,SACRAMENTO,95838,CA,4,2,1382,Residential,Fri May 16 00:00:00 EDT 2008,293996,38.644927,-121.43054 865 CONRAD CT,PLACERVILLE,95667,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,294000,38.729993,-120.802458 8463 TERRACOTTA CT,ELK GROVE,95624,CA,4,2,1721,Residential,Fri May 16 00:00:00 EDT 2008,294173,38.450548,-121.363002 5747 KING RD,LOOMIS,95650,CA,4,2,1328,Residential,Fri May 16 00:00:00 EDT 2008,295000,38.825096,-121.198432 8253 KEEGAN WAY,ELK GROVE,95624,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,298000,38.446286,-121.400817 9204 TROUT WAY,ELK GROVE,95624,CA,4,2,1982,Residential,Fri May 16 00:00:00 EDT 2008,298000,38.422221,-121.375799 1828 2ND AVE,SACRAMENTO,95818,CA,2,1,1144,Residential,Fri May 16 00:00:00 EDT 2008,299000,38.556844,-121.490769 1113 COMMONS DR,SACRAMENTO,95825,CA,2,2,1623,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.567795,-121.410703 2341 BIG STRIKE TRL,COOL,95614,CA,3,2,1457,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.905927,-120.975169 9452 RED SPRUCE WAY,ELK GROVE,95624,CA,6,3,2555,Residential,Fri May 16 00:00:00 EDT 2008,300000,38.404505,-121.346938 5776 TERRACE DR,ROCKLIN,95765,CA,3,2,1577,Residential,Fri May 16 00:00:00 EDT 2008,300567,38.800539,-121.260979 5908 MCLEAN DR,ELK GROVE,95757,CA,5,3,2592,Residential,Fri May 16 00:00:00 EDT 2008,303000,38.38912,-121.434389 8215 PEREGRINE WAY,CITRUS HEIGHTS,95610,CA,3,2,1401,Residential,Fri May 16 00:00:00 EDT 2008,305000,38.715493,-121.26293 1104 HILLSDALE LN,LINCOLN,95648,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,306000,38.865017,-121.32302 2949 PANAMA AVE,CARMICHAEL,95608,CA,3,2,1502,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.618369,-121.326187 1356 HARTLEY WAY,FOLSOM,95630,CA,3,2,1327,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.651617,-121.131674 633 HANISCH DR,ROSEVILLE,95678,CA,4,3,1800,Residential,Fri May 16 00:00:00 EDT 2008,310000,38.76349,-121.275881 63 ANGEL ISLAND CIR,SACRAMENTO,95831,CA,4,2,2169,Residential,Fri May 16 00:00:00 EDT 2008,311518,38.490408,-121.547664 1571 WILD OAK LN,LINCOLN,95648,CA,5,3,2457,Residential,Fri May 16 00:00:00 EDT 2008,312000,38.844144,-121.274174 5222 COPPER SUNSET WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,313000,38.529181,-121.224755 5601 SPINDRIFT LN,ORANGEVALE,95662,CA,4,2,2004,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.668289,-121.192316 652 FIFTEEN MILE DR,ROSEVILLE,95678,CA,4,3,2212,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.775872,-121.298864 7921 DOE TRAIL WAY,ANTELOPE,95843,CA,5,3,3134,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.711927,-121.343608 4204 LUSK DR,SACRAMENTO,95864,CA,3,2,1360,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.606569,-121.368424 5321 DELTA DR,ROCKLIN,95765,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,315000,38.815493,-121.262908 5608 ROSEDALE WAY,SACRAMENTO,95822,CA,3,2,1276,Residential,Fri May 16 00:00:00 EDT 2008,320000,38.525115,-121.518689 3372 BERETANIA WAY,SACRAMENTO,95834,CA,4,3,2962,Residential,Fri May 16 00:00:00 EDT 2008,322000,38.64977,-121.53448 2422 STEFANIE DR,ROCKLIN,95765,CA,4,2,1888,Residential,Fri May 16 00:00:00 EDT 2008,325000,38.82273,-121.26424 3232 PARKHAM DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,325500,38.772821,-121.364821 448 ELMWOOD CT,ROSEVILLE,95678,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,326951,38.771917,-121.304439 1214 DAWNWOOD DR,GALT,95632,CA,3,2,1548,Residential,Fri May 16 00:00:00 EDT 2008,328370,38.290119,-121.286023 1440 EMERALD LN,LINCOLN,95648,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,330000,38.861864,-121.267478 3349 CORVINA DR,RANCHO CORDOVA,95670,CA,4,3,2109,Residential,Fri May 16 00:00:00 EDT 2008,330000,38.580545,-121.279016 10254 JULIANA WAY,SACRAMENTO,95827,CA,4,2,2484,Residential,Fri May 16 00:00:00 EDT 2008,331200,38.56803,-121.309966 149 OPUS CIR,SACRAMENTO,95834,CA,4,3,2258,Residential,Fri May 16 00:00:00 EDT 2008,332000,38.6354,-121.53499 580 REGENCY PARK CIR,SACRAMENTO,95835,CA,3,3,2212,Residential,Fri May 16 00:00:00 EDT 2008,334000,38.674864,-121.4958 5544 CAMAS CT,ORANGEVALE,95662,CA,3,2,1616,Residential,Fri May 16 00:00:00 EDT 2008,335000,38.667703,-121.209456 5102 ARCHCREST WAY,SACRAMENTO,95835,CA,4,2,2372,Residential,Fri May 16 00:00:00 EDT 2008,341000,38.66841,-121.494639 5725 BALFOR RD,ROCKLIN,95765,CA,5,3,2606,Residential,Fri May 16 00:00:00 EDT 2008,346375,38.807816,-121.270008 7697 ROSEHALL DR,ROSEVILLE,95678,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,347225,38.79218,-121.28595 4821 HUTSON WAY,ELK GROVE,95757,CA,5,3,2877,Residential,Fri May 16 00:00:00 EDT 2008,349000,38.386239,-121.448159 4509 WINJE DR,ANTELOPE,95843,CA,3,2,2960,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.709513,-121.359357 1965 LAURELHURST LN,LINCOLN,95648,CA,2,2,0,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.853869,-121.271742 6709 ROSE BRIDGE DR,ROSEVILLE,95678,CA,3,2,2172,Residential,Fri May 16 00:00:00 EDT 2008,350000,38.792461,-121.275711 281 SPYGLASS HL,ROSEVILLE,95678,CA,3,2,2100,Condo,Fri May 16 00:00:00 EDT 2008,350000,38.762153,-121.283451 7709 RIVER VILLAGE DR,SACRAMENTO,95831,CA,3,2,1795,Residential,Fri May 16 00:00:00 EDT 2008,351000,38.483212,-121.54019 4165 BRISBANE CIR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,356200,38.686067,-121.073413 506 BEDFORD CT,ROSEVILLE,95661,CA,4,2,2295,Residential,Fri May 16 00:00:00 EDT 2008,360000,38.733985,-121.236766 9048 PINTO CANYON WAY,ROSEVILLE,95747,CA,4,3,2577,Residential,Fri May 16 00:00:00 EDT 2008,367463,38.792493,-121.331899 2274 IVY BRIDGE DR,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,375000,38.778561,-121.362008 14004 WALNUT AVE,WALNUT GROVE,95690,CA,3,1,1727,Residential,Fri May 16 00:00:00 EDT 2008,380000,38.247659,-121.515129 6905 FRANKFORT CT,ELK GROVE,95758,CA,3,2,1485,Residential,Fri May 16 00:00:00 EDT 2008,380578,38.429139,-121.423444 3621 WINTUN DR,CARMICHAEL,95608,CA,3,2,1655,Residential,Fri May 16 00:00:00 EDT 2008,386222,38.629929,-121.323086 201 KIRKLAND CT,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,389000,38.867125,-121.319085 12075 APPLESBURY CT,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,390000,38.5357,-121.2249 1975 SIDESADDLE WAY,ROSEVILLE,95661,CA,3,2,2049,Residential,Fri May 16 00:00:00 EDT 2008,395500,38.737872,-121.249025 5420 ALMOND FALLS WAY,RANCHO CORDOVA,95742,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,396000,38.527384,-121.233531 9677 PILLITERI CT,ELK GROVE,95757,CA,5,3,2875,Residential,Fri May 16 00:00:00 EDT 2008,397000,38.405571,-121.445186 1515 EL CAMINO VERDE DR,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,400000,38.904869,-121.32075 556 PLATT CIR,EL DORADO HILLS,95762,CA,4,2,2199,Residential,Fri May 16 00:00:00 EDT 2008,400000,38.656299,-121.079783 1792 DIAMOND WOODS CIR,ROSEVILLE,95747,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,412500,38.808581,-121.32785 1124 PERKINS WAY,SACRAMENTO,95818,CA,2,1,1304,Residential,Fri May 16 00:00:00 EDT 2008,413500,38.551611,-121.504437 4748 SALEM WAY,CARMICHAEL,95608,CA,3,2,2334,Residential,Fri May 16 00:00:00 EDT 2008,415000,38.634111,-121.353376 1484 RADCLIFFE WAY,AUBURN,95603,CA,4,3,2278,Residential,Fri May 16 00:00:00 EDT 2008,420454,38.935579,-121.079018 51 AIKEN WAY,SACRAMENTO,95819,CA,3,1,1493,Residential,Fri May 16 00:00:00 EDT 2008,425000,38.579326,-121.44252 2818 KNOLLWOOD DR,CAMERON PARK,95682,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,425000,38.669805,-120.999007 1536 STONEY CROSS LN,LINCOLN,95648,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,433500,38.860007,-121.310946 509 CASTILLIAN CT,ROSEVILLE,95747,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,438000,38.804773,-121.341195 700 HUNTER PL,FOLSOM,95630,CA,5,3,2787,Residential,Fri May 16 00:00:00 EDT 2008,441000,38.66051,-121.163689 1240 FAY CIR,SACRAMENTO,95831,CA,5,3,2824,Residential,Fri May 16 00:00:00 EDT 2008,445000,38.506371,-121.514456 1113 SANDWICK WAY,FOLSOM,95630,CA,4,3,3261,Residential,Fri May 16 00:00:00 EDT 2008,446000,38.673882,-121.105077 3108 DELWOOD WAY,SACRAMENTO,95821,CA,4,2,2053,Residential,Fri May 16 00:00:00 EDT 2008,450000,38.621566,-121.370882 3212 CORNICHE LN,ROSEVILLE,95661,CA,4,3,2379,Residential,Fri May 16 00:00:00 EDT 2008,455000,38.750577,-121.232768 2159 BECKETT DR,EL DORADO HILLS,95762,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,460000,38.680092,-121.036467 4320 FOUR SEASONS RD,PLACERVILLE,95667,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,475000,38.690867,-120.693641 6401 MARSHALL RD,GARDEN VALLEY,95633,CA,3,2,0,Residential,Fri May 16 00:00:00 EDT 2008,490000,38.84255,-120.8754 2089 BECKETT DR,EL DORADO HILLS,95762,CA,4,2,0,Residential,Fri May 16 00:00:00 EDT 2008,493000,38.681778,-121.035838 6196 EDGEHILL DR,EL DORADO HILLS,95762,CA,5,4,0,Residential,Fri May 16 00:00:00 EDT 2008,508000,38.676131,-121.038931 200 HILLSFORD CT,ROSEVILLE,95747,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,511000,38.780051,-121.378718 8217 PLUMERIA AVE,FAIR OAKS,95628,CA,3,2,3173,Residential,Fri May 16 00:00:00 EDT 2008,525000,38.650735,-121.258628 4841 VILLAGE GREEN DR,EL DORADO HILLS,95762,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,533000,38.664066,-121.056735 3863 LAS PASAS WAY,SACRAMENTO,95864,CA,3,1,1348,Residential,Fri May 16 00:00:00 EDT 2008,545000,38.588936,-121.373606 820 DANA CT,AUBURN,95603,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,560000,38.865246,-121.094869 1165 37TH ST,SACRAMENTO,95816,CA,2,1,1252,Residential,Fri May 16 00:00:00 EDT 2008,575000,38.568438,-121.457854 203 CASCADE FALLS DR,FOLSOM,95630,CA,4,3,3229,Residential,Fri May 16 00:00:00 EDT 2008,575000,38.703962,-121.1871 9880 IZILDA CT,SACRAMENTO,95829,CA,5,4,3863,Residential,Fri May 16 00:00:00 EDT 2008,598695,38.45326,-121.32573 1800 AVONDALE DR,ROSEVILLE,95747,CA,5,3,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.798448,-121.344054 4620 BROMWICH CT,ROCKLIN,95677,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.772672,-121.220232 620 KESWICK CT,GRANITE BAY,95746,CA,4,3,2356,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.732096,-121.219142 4478 GREENBRAE RD,ROCKLIN,95677,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,600000,38.781134,-121.222801 8432 BRIGGS DR,ROSEVILLE,95747,CA,5,3,3579,Residential,Fri May 16 00:00:00 EDT 2008,610000,38.78861,-121.339495 200 CRADLE MOUNTAIN CT,EL DORADO HILLS,95762,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,622500,38.6478,-121.0309 2065 IMPRESSIONIST WAY,EL DORADO HILLS,95762,CA,0,0,0,Residential,Fri May 16 00:00:00 EDT 2008,680000,38.682961,-121.033253 2982 ABERDEEN LN,EL DORADO HILLS,95762,CA,4,3,0,Residential,Fri May 16 00:00:00 EDT 2008,879000,38.706692,-121.058869 9401 BARREL RACER CT,WILTON,95693,CA,4,3,4400,Residential,Fri May 16 00:00:00 EDT 2008,884790,38.415298,-121.194858 3720 VISTA DE MADERA,LINCOLN,95648,CA,3,3,0,Residential,Fri May 16 00:00:00 EDT 2008,1551,38.851645,-121.231742 14151 INDIO DR,SLOUGHHOUSE,95683,CA,3,4,5822,Residential,Fri May 16 00:00:00 EDT 2008,2000,38.490447,-121.129337 7401 TOULON LN,SACRAMENTO,95828,CA,4,2,1512,Residential,Thu May 15 00:00:00 EDT 2008,56950,38.488628,-121.387759 9127 NEWHALL DR Unit 34,SACRAMENTO,95826,CA,1,1,611,Condo,Thu May 15 00:00:00 EDT 2008,60000,38.542419,-121.359904 5937 BAMFORD DR,SACRAMENTO,95823,CA,2,1,876,Residential,Thu May 15 00:00:00 EDT 2008,61000,38.471139,-121.432255 5672 HILLSDALE BLVD,SACRAMENTO,95842,CA,2,1,933,Condo,Thu May 15 00:00:00 EDT 2008,62000,38.670467,-121.359799 3920 39TH ST,SACRAMENTO,95820,CA,2,1,864,Residential,Thu May 15 00:00:00 EDT 2008,68566,38.539213,-121.46393 701 JESSIE AVE,SACRAMENTO,95838,CA,2,1,1011,Residential,Thu May 15 00:00:00 EDT 2008,70000,38.643978,-121.449562 83 ARCADE BLVD,SACRAMENTO,95815,CA,4,2,1158,Residential,Thu May 15 00:00:00 EDT 2008,80000,38.618716,-121.466327 601 REGGINALD WAY,SACRAMENTO,95838,CA,3,2,1092,Residential,Thu May 15 00:00:00 EDT 2008,85500,38.64472,-121.452228 550 DEL VERDE CIR,SACRAMENTO,95833,CA,2,1,956,Condo,Thu May 15 00:00:00 EDT 2008,92000,38.627147,-121.500799 4113 DAYSTAR CT,SACRAMENTO,95824,CA,2,2,1139,Residential,Thu May 15 00:00:00 EDT 2008,93600,38.520469,-121.458606 7374 TISDALE WAY,SACRAMENTO,95822,CA,3,1,1058,Residential,Thu May 15 00:00:00 EDT 2008,95000,38.488238,-121.472561 3348 RIO LINDA BLVD,SACRAMENTO,95838,CA,3,2,1040,Residential,Thu May 15 00:00:00 EDT 2008,97750,38.628842,-121.446127 3935 LIMESTONE WAY,SACRAMENTO,95823,CA,3,2,1354,Residential,Thu May 15 00:00:00 EDT 2008,104000,38.484374,-121.463157 6208 GRATTAN WAY,NORTH HIGHLANDS,95660,CA,3,1,1051,Residential,Thu May 15 00:00:00 EDT 2008,105000,38.679279,-121.376615 739 E WOODSIDE LN Unit E,SACRAMENTO,95825,CA,1,1,682,Condo,Thu May 15 00:00:00 EDT 2008,107666,38.578675,-121.409951 4225 46TH AVE,SACRAMENTO,95824,CA,3,1,1161,Residential,Thu May 15 00:00:00 EDT 2008,109000,38.511893,-121.457676 1434 BELL AVE,SACRAMENTO,95838,CA,3,1,1004,Residential,Thu May 15 00:00:00 EDT 2008,110000,38.647398,-121.432914 5628 GEORGIA DR,NORTH HIGHLANDS,95660,CA,3,1,1229,Residential,Thu May 15 00:00:00 EDT 2008,110000,38.669587,-121.379879 7629 BETH ST,SACRAMENTO,95832,CA,3,2,1249,Residential,Thu May 15 00:00:00 EDT 2008,112500,38.480126,-121.487869 2277 BABETTE WAY,SACRAMENTO,95832,CA,3,2,1161,Residential,Thu May 15 00:00:00 EDT 2008,114800,38.479593,-121.48434 6561 WEATHERFORD WAY,SACRAMENTO,95823,CA,3,1,1010,Residential,Thu May 15 00:00:00 EDT 2008,116000,38.465551,-121.42661 3035 ESTEPA DR Unit 5C,CAMERON PARK,95682,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,119000,38.681393,-120.996713 5136 CABOT CIR,SACRAMENTO,95820,CA,4,2,1462,Residential,Thu May 15 00:00:00 EDT 2008,121500,38.528479,-121.411806 7730 ROBINETTE RD,SACRAMENTO,95828,CA,3,2,1269,Residential,Thu May 15 00:00:00 EDT 2008,122000,38.47709,-121.410569 87 LACAM CIR,SACRAMENTO,95820,CA,2,2,1188,Residential,Thu May 15 00:00:00 EDT 2008,123675,38.532359,-121.41167 1691 NOGALES ST,SACRAMENTO,95838,CA,4,2,1570,Residential,Thu May 15 00:00:00 EDT 2008,126854,38.631925,-121.427775 3118 42ND ST,SACRAMENTO,95817,CA,3,2,1093,Residential,Thu May 15 00:00:00 EDT 2008,127059,38.546091,-121.457745 7517 50TH AVE,SACRAMENTO,95828,CA,3,1,962,Residential,Thu May 15 00:00:00 EDT 2008,128687,38.507339,-121.416267 4071 EVALITA WAY,SACRAMENTO,95823,CA,3,2,1089,Residential,Thu May 15 00:00:00 EDT 2008,129500,38.466388,-121.458861 7928 36TH AVE,SACRAMENTO,95824,CA,3,2,1127,Residential,Thu May 15 00:00:00 EDT 2008,130000,38.52049,-121.411383 6631 DEMARET DR,SACRAMENTO,95822,CA,4,2,1309,Residential,Thu May 15 00:00:00 EDT 2008,131750,38.506382,-121.483574 7043 9TH AVE,RIO LINDA,95673,CA,2,1,970,Residential,Thu May 15 00:00:00 EDT 2008,132000,38.695589,-121.444133 97 KENNELFORD CIR,SACRAMENTO,95823,CA,3,2,1144,Residential,Thu May 15 00:00:00 EDT 2008,134000,38.462376,-121.426556 2636 TRONERO WAY,RANCHO CORDOVA,95670,CA,3,1,1000,Residential,Thu May 15 00:00:00 EDT 2008,134000,38.593049,-121.30304 1530 TOPANGA LN Unit 204,LINCOLN,95648,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,138000,38.88415,-121.270277 3604 KODIAK WAY,ANTELOPE,95843,CA,3,2,1206,Residential,Thu May 15 00:00:00 EDT 2008,142000,38.706175,-121.379776 2149 COTTAGE WAY,SACRAMENTO,95825,CA,3,1,1285,Residential,Thu May 15 00:00:00 EDT 2008,143012,38.603593,-121.417011 8632 PRAIRIEWOODS DR,SACRAMENTO,95828,CA,3,2,1543,Residential,Thu May 15 00:00:00 EDT 2008,145846,38.477563,-121.384382 612 STONE BLVD,WEST SACRAMENTO,95691,CA,2,1,884,Residential,Thu May 15 00:00:00 EDT 2008,147000,38.563084,-121.535579 4180 12TH AVE,SACRAMENTO,95817,CA,3,1,1019,Residential,Thu May 15 00:00:00 EDT 2008,148750,38.54117,-121.458129 8025 ARROYO VISTA DR,SACRAMENTO,95823,CA,4,2,1392,Residential,Thu May 15 00:00:00 EDT 2008,150000,38.46654,-121.419029 5754 WALERGA RD Unit 4,SACRAMENTO,95842,CA,2,1,924,Condo,Thu May 15 00:00:00 EDT 2008,150454,38.672567,-121.356754 8 LA ROCAS CT,SACRAMENTO,95823,CA,3,2,1217,Residential,Thu May 15 00:00:00 EDT 2008,151087,38.46616,-121.448283 8636 LONGSPUR WAY,ANTELOPE,95843,CA,3,2,1670,Residential,Thu May 15 00:00:00 EDT 2008,157296,38.725873,-121.35856 1941 EXPEDITION WAY,SACRAMENTO,95832,CA,3,2,1302,Residential,Thu May 15 00:00:00 EDT 2008,157500,38.473775,-121.493777 4351 TURNBRIDGE DR,SACRAMENTO,95823,CA,3,2,1488,Residential,Thu May 15 00:00:00 EDT 2008,160000,38.502034,-121.456027 6513 HOLIDAY WAY,NORTH HIGHLANDS,95660,CA,3,2,1373,Residential,Thu May 15 00:00:00 EDT 2008,160000,38.685361,-121.376938 8321 MISTLETOE WAY,CITRUS HEIGHTS,95621,CA,4,2,1381,Residential,Thu May 15 00:00:00 EDT 2008,161250,38.717738,-121.308322 5920 VALLEY GLEN WAY,SACRAMENTO,95823,CA,3,2,1265,Residential,Thu May 15 00:00:00 EDT 2008,164000,38.462821,-121.433135 2601 SAN FERNANDO WAY,SACRAMENTO,95818,CA,2,1,881,Residential,Thu May 15 00:00:00 EDT 2008,165000,38.556178,-121.476256 501 POPLAR AVE,WEST SACRAMENTO,95691,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,165000,38.584526,-121.534609 8008 SAINT HELENA CT,SACRAMENTO,95829,CA,4,2,1608,Residential,Thu May 15 00:00:00 EDT 2008,165750,38.467012,-121.359969 6517 DONEGAL DR,CITRUS HEIGHTS,95621,CA,3,1,1344,Residential,Thu May 15 00:00:00 EDT 2008,166000,38.681554,-121.312934 1001 RIO NORTE WAY,SACRAMENTO,95834,CA,3,2,1202,Residential,Thu May 15 00:00:00 EDT 2008,169000,38.634292,-121.485106 604 P ST,LINCOLN,95648,CA,3,2,1104,Residential,Thu May 15 00:00:00 EDT 2008,170000,38.893168,-121.305398 10001 WOODCREEK OAKS BLVD Unit 815,ROSEVILLE,95747,CA,2,2,0,Condo,Thu May 15 00:00:00 EDT 2008,170000,38.795529,-121.328819 7351 GIGI PL,SACRAMENTO,95828,CA,4,2,1859,Multi-Family,Thu May 15 00:00:00 EDT 2008,170000,38.490606,-121.410173 7740 DIXIE LOU ST,SACRAMENTO,95832,CA,3,2,1232,Residential,Thu May 15 00:00:00 EDT 2008,170000,38.475853,-121.477039 7342 DAVE ST,SACRAMENTO,95828,CA,3,1,1638,Residential,Thu May 15 00:00:00 EDT 2008,170725,38.490822,-121.401643 7687 HOWERTON DR,SACRAMENTO,95831,CA,2,2,1177,Residential,Thu May 15 00:00:00 EDT 2008,171750,38.480859,-121.539745 26 KAMSON CT,SACRAMENTO,95833,CA,3,2,1582,Residential,Thu May 15 00:00:00 EDT 2008,172000,38.622794,-121.499173 7045 PEEVEY CT,SACRAMENTO,95823,CA,2,2,904,Residential,Thu May 15 00:00:00 EDT 2008,173056,38.502254,-121.451444 8916 GABLES MILL PL,ELK GROVE,95758,CA,3,2,1340,Residential,Thu May 15 00:00:00 EDT 2008,174000,38.433919,-121.422347 1140 EDMONTON DR,SACRAMENTO,95833,CA,3,2,1204,Residential,Thu May 15 00:00:00 EDT 2008,174250,38.62457,-121.486913 8879 APPLE PEAR CT,ELK GROVE,95624,CA,4,2,1477,Residential,Thu May 15 00:00:00 EDT 2008,176850,38.44574,-121.3725 9 WIND CT,SACRAMENTO,95823,CA,4,2,1497,Residential,Thu May 15 00:00:00 EDT 2008,179500,38.45073,-121.427528 8570 SHERATON DR,FAIR OAKS,95628,CA,3,1,960,Residential,Thu May 15 00:00:00 EDT 2008,185000,38.667254,-121.240708 1550 TOPANGA LN Unit 207,LINCOLN,95648,CA,0,0,0,Condo,Thu May 15 00:00:00 EDT 2008,188000,38.88417,-121.270222 1080 RIO NORTE WAY,SACRAMENTO,95834,CA,3,2,1428,Residential,Thu May 15 00:00:00 EDT 2008,188700,38.634335,-121.486098 5501 VALLETTA WAY,SACRAMENTO,95820,CA,3,1,1039,Residential,Thu May 15 00:00:00 EDT 2008,189000,38.530144,-121.43749 5624 MEMORY LN,FAIR OAKS,95628,CA,3,1,1529,Residential,Thu May 15 00:00:00 EDT 2008,189000,38.66745,-121.2364 6622 WILLOWLEAF DR,CITRUS HEIGHTS,95621,CA,4,3,1892,Residential,Thu May 15 00:00:00 EDT 2008,189836,38.699714,-121.311635 27 MEGAN CT,SACRAMENTO,95838,CA,4,2,1887,Residential,Thu May 15 00:00:00 EDT 2008,190000,38.649258,-121.465308 6601 WOODMORE OAKS DR,ORANGEVALE,95662,CA,3,2,1294,Residential,Thu May 15 00:00:00 EDT 2008,191250,38.687006,-121.254319 1973 DANVERS WAY,SACRAMENTO,95832,CA,3,2,1638,Residential,Thu May 15 00:00:00 EDT 2008,191675,38.477568,-121.492574 8001 ARROYO VISTA DR,SACRAMENTO,95823,CA,3,2,1677,Residential,Thu May 15 00:00:00 EDT 2008,195500,38.46734,-121.419843 7409 VOYAGER WAY,CITRUS HEIGHTS,95621,CA,3,1,1073,Residential,Thu May 15 00:00:00 EDT 2008,198000,38.700717,-121.3133 815 CROSSWIND DR,SACRAMENTO,95838,CA,3,2,1231,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.651386,-121.45042 5509 LAGUNA CREST WAY,ELK GROVE,95758,CA,3,2,1175,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.42442,-121.440357 8424 MERRY HILL WAY,ELK GROVE,95624,CA,3,2,1416,Residential,Thu May 15 00:00:00 EDT 2008,200000,38.452075,-121.366461 1525 PENNSYLVANIA AVE,WEST SACRAMENTO,95691,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,200100,38.569943,-121.527539 5954 BRIDGECROSS DR,SACRAMENTO,95835,CA,3,2,1358,Residential,Thu May 15 00:00:00 EDT 2008,201528,38.68197,-121.500025 8789 SEQUOIA WOOD CT,ELK GROVE,95624,CA,4,2,1609,Residential,Thu May 15 00:00:00 EDT 2008,204750,38.438818,-121.37443 6600 SILVERTHORNE CIR,SACRAMENTO,95842,CA,4,3,1968,Residential,Thu May 15 00:00:00 EDT 2008,205000,38.68607,-121.342369 2221 2ND AVE,SACRAMENTO,95818,CA,2,2,1089,Residential,Thu May 15 00:00:00 EDT 2008,205000,38.555781,-121.485331 3230 SMATHERS WAY,CARMICHAEL,95608,CA,3,2,1296,Residential,Thu May 15 00:00:00 EDT 2008,205900,38.623372,-121.347665 5209 LAGUNA CREST WAY,ELK GROVE,95758,CA,2,2,1189,Residential,Thu May 15 00:00:00 EDT 2008,207000,38.424421,-121.443915 416 LEITCH AVE,SACRAMENTO,95815,CA,2,1,795,Residential,Thu May 15 00:00:00 EDT 2008,207973,38.612694,-121.456669 2100 BEATTY WAY,ROSEVILLE,95747,CA,3,2,1371,Residential,Thu May 15 00:00:00 EDT 2008,208250,38.737882,-121.308142 6920 GILLINGHAM WAY,NORTH HIGHLANDS,95660,CA,3,1,1310,Residential,Thu May 15 00:00:00 EDT 2008,208318,38.694279,-121.373395 82 WILDFLOWER DR,GALT,95632,CA,3,2,1262,Residential,Thu May 15 00:00:00 EDT 2008,209347,38.259708,-121.311616 8652 BANTON CIR,ELK GROVE,95624,CA,4,2,1740,Residential,Thu May 15 00:00:00 EDT 2008,211500,38.444,-121.370993 8428 MISTY PASS WAY,ANTELOPE,95843,CA,3,2,1517,Residential,Thu May 15 00:00:00 EDT 2008,212000,38.722959,-121.347115 7958 ROSEVIEW WAY,SACRAMENTO,95828,CA,3,2,1450,Residential,Thu May 15 00:00:00 EDT 2008,213000,38.467836,-121.410366 9020 LUKEN CT,ELK GROVE,95624,CA,3,2,1416,Residential,Thu May 15 00:00:00 EDT 2008,216000,38.451398,-121.366614 7809 VALLECITOS WAY,SACRAMENTO,95828,CA,3,1,888,Residential,Thu May 15 00:00:00 EDT 2008,216021,38.508217,-121.411207 8445 OLD AUBURN RD,CITRUS HEIGHTS,95610,CA,3,2,1882,Residential,Thu May 15 00:00:00 EDT 2008,219000,38.715423,-121.246743 10085 ATKINS DR,ELK GROVE,95757,CA,3,2,1302,Residential,Thu May 15 00:00:00 EDT 2008,219794,38.390893,-121.437821 9185 CERROLINDA CIR,ELK GROVE,95758,CA,3,2,1418,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.424497,-121.426595 9197 CORTINA CIR,ROSEVILLE,95678,CA,3,2,0,Condo,Thu May 15 00:00:00 EDT 2008,220000,38.793152,-121.290025 5429 HESPER WAY,CARMICHAEL,95608,CA,4,2,1319,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.665104,-121.315901 1178 WARMWOOD CT,GALT,95632,CA,4,2,1770,Residential,Thu May 15 00:00:00 EDT 2008,220000,38.289544,-121.284607 4900 ELUDE CT,SACRAMENTO,95842,CA,4,2,1627,Residential,Thu May 15 00:00:00 EDT 2008,223000,38.69674,-121.350519 3557 SODA WAY,SACRAMENTO,95834,CA,0,0,0,Residential,Thu May 15 00:00:00 EDT 2008,224000,38.631026,-121.501879 3528 SAINT GEORGE DR,SACRAMENTO,95821,CA,3,1,1040,Residential,Thu May 15 00:00:00 EDT 2008,224000,38.629468,-121.376445 7381 WASHBURN WAY,NORTH HIGHLANDS,95660,CA,3,1,960,Residential,Thu May 15 00:00:00 EDT 2008,224252,38.70355,-121.375103 2181 WINTERHAVEN CIR,CAMERON PARK,95682,CA,3,2,0,Residential,Thu May 15 00:00:00 EDT 2008,224500,38.69757,-120.995739 7540 HICKORY AVE,ORANGEVALE,95662,CA,3,1,1456,Residential,Thu May 15 00:00:00 EDT 2008,225000,38.703056,-121.235221 5024 CHAMBERLIN CIR,ELK GROVE,95757,CA,3,2,1450,Residential,Thu May 15 00:00:00 EDT 2008,228000,38.389756,-121.446246 2400 INVERNESS DR,LINCOLN,95648,CA,3,2,1358,Residential,Thu May 15 00:00:00 EDT 2008,229027,38.897814,-121.324691 5 BISHOPGATE CT,SACRAMENTO,95823,CA,4,2,1329,Residential,Thu May 15 00:00:00 EDT 2008,229500,38.467936,-121.445477 5601 REXLEIGH DR,SACRAMENTO,95823,CA,4,2,1715,Residential,Thu May 15 00:00:00 EDT 2008,230000,38.445342,-121.441504 1909 YARNELL WAY,ELK GROVE,95758,CA,3,2,1262,Residential,Thu May 15 00:00:00 EDT 2008,230000,38.417382,-121.484325 9169 GARLINGTON CT,SACRAMENTO,95829,CA,4,3,2280,Residential,Thu May 15 00:00:00 EDT 2008,232425,38.457679,-121.35962 6932 RUSKUT WAY,SACRAMENTO,95823,CA,3,2,1477,Residential,Thu May 15 00:00:00 EDT 2008,234000,38.499893,-121.45889 7933 DAFFODIL WAY,CITRUS HEIGHTS,95610,CA,3,2,1216,Residential,Thu May 15 00:00:00 EDT 2008,235000,38.708824,-121.256803 8304 RED FOX WAY,ELK GROVE,95758,CA,4,2,1685,Residential,Thu May 15 00:00:00 EDT 2008,235301,38.417,-121.397424 3882 YELLOWSTONE LN,EL DORADO HILLS,95762,CA,3,2,1362,Residential,Thu May 15 00:00:00 EDT 2008,235738,38.655245,-121.075915 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7ÜpäÕ¢[n¹%l׎¡·çV©»6þü¸÷Þ{cúôéÝ>¬zØìÙ³#¿×~U_έRwíÃþpìÛ·/.»ì²¨¯¯Ý»wDzeËbÓ¦MÑÖÖûØÇ"®ýª¾œ[¥îÚñL›6-ž{î¹ø¯ÿú¯#×ìÛ)ÿ³+ÏJŸûÜçJ#GŽ,{î¹¥)S¦”~ðƒt{Îœ9sJÕÕÕ¥íÛ·w»þüóÏ—þàþ 4lØ°ÒÀK—_~yÅütÒÞžÛí·ß^z÷»ß]:théì³Ï.]pÁ¥›nº©´gÏžì/!Ý\Pªªª*UUU•ª««KÕÕÕGþ÷á3²kGëí¹Uê®M›6íÈýê¯êêê#ϳkÝõåÜ*u×þîïþ®ôÛ¿ýÛ¥#F”Î:ë¬Rmmméšk®)­ZµªÛóìZw}9·Jݵã™6mZiüøñݮٷ¾ó Æg@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4H#@€4ÿܬ™SÓS–§IEND®B`‚snakemake-6.15.1/tests/test_restartable_job_cmd_exit_1/000077500000000000000000000000001417574166400232215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_restartable_job_cmd_exit_1/Snakefile000066400000000000000000000005731417574166400250520ustar00rootroot00000000000000localrules: all rule all: input: '.done' rule fails_sometimes: output: '.done' resources: mem=lambda wildcards, attempt: 100 * attempt shell: r""" echo {resources.mem} if [[ ! -f ".first" ]]; then touch .first exit 1 else echo {resources.mem} > {output} fi """ snakemake-6.15.1/tests/test_restartable_job_cmd_exit_1/expected-results/000077500000000000000000000000001417574166400265215ustar00rootroot00000000000000snakemake-6.15.1/tests/test_restartable_job_cmd_exit_1/expected-results/.done000066400000000000000000000000041417574166400274410ustar00rootroot00000000000000200 snakemake-6.15.1/tests/test_restartable_job_cmd_exit_1/qsub000077500000000000000000000002071417574166400241200ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM sh $1 exit 0 snakemake-6.15.1/tests/test_restartable_job_cmd_exit_1/qsub.py000077500000000000000000000004771417574166400245600ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) with open("qsub.log", "a") as log: print(job_properties, file=log) print(random.randint(1, 100)) os.system("sh {}".format(jobscript)) snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/000077500000000000000000000000001417574166400234305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/Snakefile000066400000000000000000000001711417574166400252530ustar00rootroot00000000000000localrules: all rule all: input: '.done' rule fails_sometimes: output: '.done' shell: r""" touch .done """ snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/expected-results/000077500000000000000000000000001417574166400267305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/expected-results/.done000066400000000000000000000000001417574166400276440ustar00rootroot00000000000000snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/qsub000077500000000000000000000003451417574166400243320ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # ensure to fail on the first submission if [[ ! -f ".first" ]]; then touch .first exit 1 fi # simulate printing of job id by a random number echo $RANDOM sh $1 snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/qsub.log000066400000000000000000000000351417574166400251030ustar00rootroot00000000000000Mo 12. Dez 14:36:23 CET 2016 snakemake-6.15.1/tests/test_restartable_job_qsub_exit_1/qsub.py000077500000000000000000000004771417574166400247670ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) with open("qsub.log", "a") as log: print(job_properties, file=log) print(random.randint(1, 100)) os.system("sh {}".format(jobscript)) snakemake-6.15.1/tests/test_rule_defined_in_for_loop/000077500000000000000000000000001417574166400227755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_rule_defined_in_for_loop/Snakefile000066400000000000000000000003761417574166400246270ustar00rootroot00000000000000rule all: input: 'iteration-02.txt' for i in range(2, 4): rule: output: fasta='iteration-{nr:02d}.txt'.format(nr=i) input: fasta='iteration-{nr:02d}.txt'.format(nr=i-1) run: shell("cp -p {input.fasta} {output.fasta}") snakemake-6.15.1/tests/test_rule_defined_in_for_loop/expected-results/000077500000000000000000000000001417574166400262755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_rule_defined_in_for_loop/expected-results/iteration-01.txt000066400000000000000000000000001417574166400312400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_rule_defined_in_for_loop/expected-results/iteration-02.txt000066400000000000000000000000001417574166400312410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_rule_defined_in_for_loop/iteration-01.txt000066400000000000000000000000001417574166400257400ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/000077500000000000000000000000001417574166400174065ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/1.a000066400000000000000000000000001417574166400176760ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/2.a000066400000000000000000000000001417574166400176770ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/3.a000066400000000000000000000000001417574166400177000ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/4.a000066400000000000000000000000001417574166400177010ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/5.a000066400000000000000000000000001417574166400177020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledag/Snakefile000066400000000000000000000006051417574166400212330ustar00rootroot00000000000000 rule all: input: expand("{id}.d", id="1 2 3 4 5".split()) rule rule1: input: "{id}.c" output: "{id}.d" shell: "touch {output}" rule rule2: input: lambda wildcards: (expand("{id}.b", id="1 2 3".split()) if wildcards.id == "1" else expand("{id}.b", id=wildcards.id)) output: "{id}.c" shell: "touch {output}" rule rule3: input: "{id}.a" output: "{id}.b" shell: "touch {output}" snakemake-6.15.1/tests/test_ruledeps/000077500000000000000000000000001417574166400176065ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledeps/Snakefile000066400000000000000000000005711417574166400214350ustar00rootroot00000000000000 rule all: input: "test.out" rule a: output: "{sample,.+}.in" shell: "touch {output}" rule b: input: rules.a.output output: "{sample}.inter" shell: "touch {output}" rule c: input: rules.a.output output: "{sample}.inter" shell: "exit 1" rule d: input: rules.b.output output: "{sample}.out" shell: "touch {output}" snakemake-6.15.1/tests/test_ruledeps/expected-results/000077500000000000000000000000001417574166400231065ustar00rootroot00000000000000snakemake-6.15.1/tests/test_ruledeps/expected-results/test.out000066400000000000000000000000001417574166400246040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_run_namedlist/000077500000000000000000000000001417574166400206275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_run_namedlist/Snakefile000066400000000000000000000001521417574166400224510ustar00rootroot00000000000000rule: output: txt='file.txt' run: shell('touch {output.txt}') os.stat(output.txt) snakemake-6.15.1/tests/test_run_namedlist/expected-results/000077500000000000000000000000001417574166400241275ustar00rootroot00000000000000snakemake-6.15.1/tests/test_run_namedlist/expected-results/file.txt000066400000000000000000000000001417574166400255750ustar00rootroot00000000000000snakemake-6.15.1/tests/test_same_wildcard/000077500000000000000000000000001417574166400205615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_same_wildcard/Snakefile000066400000000000000000000002431417574166400224040ustar00rootroot00000000000000shell.executable("bash") rule: input: "test_test.out" rule: input: "{name}_{name}.in" output: "{name}_{name}.out" shell: "echo {wildcards.name} > {output}" snakemake-6.15.1/tests/test_same_wildcard/expected-results/000077500000000000000000000000001417574166400240615ustar00rootroot00000000000000snakemake-6.15.1/tests/test_same_wildcard/expected-results/test_test.out000066400000000000000000000000051417574166400266230ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_same_wildcard/test_test.in000066400000000000000000000000051417574166400231220ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_scatter_gather/000077500000000000000000000000001417574166400207625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/Snakefile000066400000000000000000000010101417574166400225760ustar00rootroot00000000000000scattergather: split=8 rule all: input: "gathered/all.txt" rule split: output: scatter.split("splitted/{scatteritem}.txt") shell: "touch {output}" rule intermediate: input: "splitted/{scatteritem}.txt" output: "splitted/{scatteritem}.post.txt" shell: "cp {input} {output}" rule gather: input: gather.split("splitted/{scatteritem}.post.txt") output: "gathered/all.txt" shell: "cat {input} > {output}" snakemake-6.15.1/tests/test_scatter_gather/expected-results/000077500000000000000000000000001417574166400242625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/gathered/000077500000000000000000000000001417574166400260455ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/gathered/all.txt000066400000000000000000000000001417574166400273440ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/splitted/000077500000000000000000000000001417574166400261125ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/splitted/1-of-2.post.txt000066400000000000000000000000001417574166400305260ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/splitted/1-of-2.txt000066400000000000000000000000001417574166400275420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/splitted/2-of-2.post.txt000066400000000000000000000000001417574166400305270ustar00rootroot00000000000000snakemake-6.15.1/tests/test_scatter_gather/expected-results/splitted/2-of-2.txt000066400000000000000000000000001417574166400275430ustar00rootroot00000000000000snakemake-6.15.1/tests/test_schema.py000066400000000000000000000070011417574166400175730ustar00rootroot00000000000000import json import pytest from snakemake.utils import validate import pandas as pd CONFIG_SCHEMA = """$schema: "http://json-schema.org/draft-07/schema#" description: Configuration schema type: object properties: param: type: object description: parameter settings # Necessary in case config is empty! default: {} properties: foo: type: string default: bar """ BAR_SCHEMA = """definitions: bar: type: string description: bar entry default: foo """ BAR_JSON_SCHEMA = { "definitions": { "jsonbar": {"type": "string", "description": "bar entry", "default": "foo"} } } DF_SCHEMA = """$schema: "http://json-schema.org/draft-04/schema#" description: an entry in the sample sheet properties: sample: type: string description: sample name/identifier condition: type: string description: sample condition that will be compared during differential expression analysis (e.g. a treatment, a tissue time, a disease) case: type: boolean default: true description: boolean that indicates if sample is case or control date: type: string format: date-time description: collection date default: "2018-10-10" required: - sample - condition """ @pytest.fixture def schemadir(tmpdir): p = tmpdir.mkdir("schema") return p @pytest.fixture def bar_schema(schemadir): p = schemadir.join("bar.schema.yaml") p.write(BAR_SCHEMA) return p @pytest.fixture def json_bar_schema(schemadir): p = schemadir.join("bar.schema.json") p.write(json.dumps(BAR_JSON_SCHEMA)) return p @pytest.fixture def df_schema(schemadir): p = schemadir.join("df.schema.yaml") p.write(DF_SCHEMA) return p @pytest.fixture def config_schema(schemadir): p = schemadir.join("config.schema.yaml") p.write(CONFIG_SCHEMA) return p @pytest.fixture def config_schema_ref(schemadir, bar_schema, json_bar_schema): p = schemadir.join("config.ref.schema.yaml") p.write( CONFIG_SCHEMA + "\n".join( [ " bar:", ' default: "yaml"', ' $ref: "{bar}"'.format( bar=str(bar_schema) + "#/definitions/bar" ), " jsonbar:", ' default: "json"', ' $ref: "{bar}"'.format( bar=str(json_bar_schema) + "#/definitions/jsonbar" ), "", ] ) ) return p def test_config(config_schema): config = {} validate(config, str(config_schema), False) assert config == {} validate(config, str(config_schema)) assert dict(config) == {"param": {"foo": "bar"}} def test_config_ref(config_schema_ref): config = {} validate(config, str(config_schema_ref)) assert config["param"]["foo"] == "bar" assert config["param"]["bar"] == "yaml" assert config["param"]["jsonbar"] == "json" # Make sure regular validator works config["param"]["bar"] = 1 config["param"]["jsonbar"] = 2 from snakemake import WorkflowError with pytest.raises(WorkflowError): validate(config, str(config_schema_ref), False) def test_dataframe(df_schema): df = pd.DataFrame([{"sample": "foo", "condition": "bar"}]) validate(df, str(df_schema), False) assert sorted(df.columns) == sorted(["sample", "condition"]) validate(df, str(df_schema)) assert sorted(df.columns) == sorted(["sample", "condition", "case", "date"]) assert df.case.loc[0] snakemake-6.15.1/tests/test_script.py000066400000000000000000000367241417574166400176550ustar00rootroot00000000000000from textwrap import dedent from snakemake.script import RustScript class TestRustScriptExtractManifest: def test_single_line_manifest_with_shebang_and_second_manifest(self): source = dedent( """#!/usr/bin/env rust-script // cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = '// cargo-deps: time="0.1.25", serde="*"\n' assert manifest == expected_manifest expected_remaining_src = dedent( """// You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_not_at_start_with_shebang(self): source = dedent( """#!/usr/bin/env rust-script // this is where cargo-deps should be // cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = "" assert manifest == expected_manifest expected_remaining_src = dedent( """// this is where cargo-deps should be // cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_not_at_start_without_shebang(self): source = dedent( """// this is where cargo-deps should be // cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = "" assert manifest == expected_manifest expected_remaining_src = dedent( """// this is where cargo-deps should be // cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_with_empty_line_without_shebang(self): source = dedent( """ // cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = '\n// cargo-deps: time="0.1.25", serde="*"\n' assert manifest == expected_manifest expected_remaining_src = dedent( """// You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_is_case_insensitive(self): source = dedent( """ // Cargo-deps: time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = '\n// Cargo-deps: time="0.1.25", serde="*"\n' assert manifest == expected_manifest expected_remaining_src = dedent( """// You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_spacing_has_no_impact(self): source = dedent( """ // cargo-deps : time="0.1.25", serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = '\n// cargo-deps : time="0.1.25", serde="*"\n' assert manifest == expected_manifest expected_remaining_src = dedent( """// You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_formatting_not_touched_even_if_wrong(self): """The dependency delimiter is wrong, but we let rust-script deal with it""" source = dedent( """ // cargo-deps: time="0.1.25"; serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = '\n// cargo-deps: time="0.1.25"; serde="*"\n' assert manifest == expected_manifest expected_remaining_src = dedent( """// You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_single_line_manifest_spelt_wrong(self): source = dedent( """ // cargo-dependencies: time="0.1.25"; serde="*" // You can also leave off the version number, in which case, it's assumed // to be "*". Also, the `cargo-deps` comment *must* be a single-line // comment, and it *must* be the first thing in the file, after the // shebang. // This second dependency line should be ignored // cargo-deps: time="0.1.25", libc="0.2.5" fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = "" assert manifest == expected_manifest expected_remaining_src = source assert remaining_src == expected_remaining_src def test_code_block_manifest_with_shebang(self): source = dedent( """#!/usr/bin/env rust-script //! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! time = "0.1.25" //! ``` fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = dedent( """//! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! time = "0.1.25" //! ``` """ ) assert manifest == expected_manifest expected_remaining_src = dedent( """fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_code_block_manifest_without_shebang(self): source = dedent( """ //! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! time = "0.1.25" //! ``` fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = dedent( """\n//! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! time = "0.1.25" //! ``` """ ) assert manifest == expected_manifest expected_remaining_src = dedent( """fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_code_block_manifest_spacing_around_language(self): source = dedent( """ //! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ``` cargo //! [dependencies] //! time = "0.1.25" //! ``` fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = dedent( """\n//! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ``` cargo //! [dependencies] //! time = "0.1.25" //! ``` """ ) assert manifest == expected_manifest expected_remaining_src = dedent( """fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src def test_code_block_manifest_has_non_cargo_block(self): source = dedent( """ //! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```rust //! [dependencies] //! time = "0.1.25" //! ``` fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = "" assert manifest == expected_manifest expected_remaining_src = source assert remaining_src == expected_remaining_src def test_code_block_manifest_missing_closing_fence(self): source = dedent( """ //! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! time = "0.1.25" //! fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = "" assert manifest == expected_manifest expected_remaining_src = source assert remaining_src == expected_remaining_src def test_code_block_manifest_not_in_first_comment_block(self): source = dedent( """//! crate comment static FOO: &str = "foo"; //! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! time = "0.1.25" //! ``` //! fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = "" assert manifest == expected_manifest expected_remaining_src = source assert remaining_src == expected_remaining_src def test_code_block_manifest_with_outer_line_doc_comment(self): source = dedent( """#!/usr/bin/env rust-script /// This is a regular crate doc comment, but it also contains a partial /// Cargo manifest. Note the use of a *fenced* code block, and the /// `cargo` "language". /// /// ```cargo /// [dependencies] /// time = "0.1.25" /// ``` fn main() { println!("{}", time::now().rfc822z()); } """ ) manifest, remaining_src = RustScript.extract_manifest(source) expected_manifest = dedent( """/// This is a regular crate doc comment, but it also contains a partial /// Cargo manifest. Note the use of a *fenced* code block, and the /// `cargo` "language". /// /// ```cargo /// [dependencies] /// time = "0.1.25" /// ``` """ ) assert manifest == expected_manifest expected_remaining_src = dedent( """fn main() { println!("{}", time::now().rfc822z()); } """ ) assert remaining_src == expected_remaining_src snakemake-6.15.1/tests/test_script/000077500000000000000000000000001417574166400172675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script/Snakefile000066400000000000000000000030401417574166400211100ustar00rootroot00000000000000 configfile: "config.yaml" rule all: input: "test.out", "test.html", "rel_source.out", "julia.out", "rust.out", "rust-manifest.out", "rust-outer-line-doc.out", rule: input: "test.in" output: txt="test.out" params: xy=True conda: "envs/r.yaml" script: "scripts/test.R" rule: output: "test.in" script: "scripts/test.py" rule: output: "test.html" params: test="testparam" conda: "envs/r.yaml" script: "scripts/test.Rmd" rule: output: "rel_source.out" conda: "envs/r.yaml" script: "scripts/rel_source.R" rule: input: "test.in", named_input="test.in" output: "julia.out" params: integer=123 conda: "envs/julia.yaml" script: "scripts/test.jl" rule: input: "test.in", "test2.in", ["test.in", "test2.in"], named_input="test.in", output: "rust.out", params: integer=123 conda: "envs/rust.yaml" script: "scripts/test.rs" rule: output: "rust-manifest.out", params: keep="-" conda: "envs/rust.yaml" log: "rust-manifest.log" script: "scripts/test-manifest.rs" rule: output: "rust-outer-line-doc.out", params: keep="-", conda: "envs/rust.yaml" script: "scripts/test-outer-line-doc.rs" snakemake-6.15.1/tests/test_script/config.yaml000066400000000000000000000000131417574166400214120ustar00rootroot00000000000000test: true snakemake-6.15.1/tests/test_script/envs/000077500000000000000000000000001417574166400202425ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script/envs/julia.yaml000066400000000000000000000000771417574166400222360ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - julia snakemake-6.15.1/tests/test_script/envs/r.yaml000066400000000000000000000002631417574166400213700ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - r-base =3.6.1 - r-rmarkdown =1.17 - xorg-libxrender - xorg-libxext - xorg-libxau - xorg-libxdmcp - xorg-libsm snakemake-6.15.1/tests/test_script/envs/rust.yaml000066400000000000000000000001671417574166400221270ustar00rootroot00000000000000channels: - conda-forge - bioconda dependencies: - rust-script>=0.15.0 - openssl - c-compiler - pkg-config snakemake-6.15.1/tests/test_script/expected-results/000077500000000000000000000000001417574166400225675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script/expected-results/julia.out000066400000000000000000000000251417574166400244210ustar00rootroot00000000000000Julia test succeded! snakemake-6.15.1/tests/test_script/expected-results/rel_source.out000066400000000000000000000000021417574166400254520ustar00rootroot00000000000000Hisnakemake-6.15.1/tests/test_script/expected-results/rust-manifest.out000066400000000000000000000000241417574166400261150ustar00rootroot00000000000000chrom1 14 chrom2 41 snakemake-6.15.1/tests/test_script/expected-results/rust-outer-line-doc.out000066400000000000000000000000241417574166400271350ustar00rootroot00000000000000chrom1 14 chrom2 41 snakemake-6.15.1/tests/test_script/expected-results/rust.out000066400000000000000000000000241417574166400243110ustar00rootroot00000000000000Rust test succeded! snakemake-6.15.1/tests/test_script/expected-results/test.html000066400000000000000000000014341417574166400244360ustar00rootroot00000000000000 Test Report

Test Report

Mattias

March 22, 2017

R Markdown

This is an R Markdown document.

Test include from snakemake testparam.

snakemake-6.15.1/tests/test_script/expected-results/test.in000066400000000000000000000000061417574166400240720ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_script/expected-results/test.out000066400000000000000000000000061417574166400242730ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_script/scripts/000077500000000000000000000000001417574166400207565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script/scripts/rel_source.R000066400000000000000000000001051417574166400232370ustar00rootroot00000000000000snakemake@source("source_me.R") cat(hi(),file=snakemake@output[[1]]) snakemake-6.15.1/tests/test_script/scripts/source_me.R000066400000000000000000000000371417574166400230620ustar00rootroot00000000000000hi <- function(){return("Hi")} snakemake-6.15.1/tests/test_script/scripts/test-manifest.rs000066400000000000000000000030331417574166400241060ustar00rootroot00000000000000//! This is a regular crate doc comment, but it also contains a partial //! Cargo manifest. Note the use of a *fenced* code block, and the //! `cargo` "language". //! //! ```cargo //! [dependencies] //! csv = "1.1" //! serde = { version = "1.0", features = ["derive"] } //! ``` use std::error::Error; use std::io::{BufWriter, Write}; use std::fs::File; use serde::Deserialize; static BED: &[u8] = b"chrom1 1 15 foo 454 - chrom1 40 45 bar 2 + chrom2 4 45 baz 2 - "; #[derive(Debug, Deserialize)] struct BedRecord { chrom: String, start: u64, end: u64, name: Option, score: Option, strand: Option, } fn main() -> Result<(), Box> { snakemake.redirect_stderr(&snakemake.log[0])?; let f_out = File::create(&snakemake.output[0])?; let mut ostream = BufWriter::new(f_out); println!("Loaded"); let keep_strand = match &snakemake.params.keep { s if s.len() == 1 => Some(s.chars().next().unwrap() as char), _ => None, }; println!("Reading BED file..."); let mut rdr = csv::ReaderBuilder::new().has_headers(false).delimiter(b'\t').from_reader(BED); for result in rdr.deserialize() { // Notice that we need to provide a type hint for automatic // deserialization. let record: BedRecord = result?; let l = record.end - record.start; if record.strand == keep_strand { write!(&mut ostream, "{}\t{}\n", record.chrom, l)?; } } println!("Output written to {}", &snakemake.output[0]); Ok(()) } snakemake-6.15.1/tests/test_script/scripts/test-outer-line-doc.rs000066400000000000000000000027551417574166400251400ustar00rootroot00000000000000/// This is a regular outer line doc comment, but it also contains a partial /// Cargo manifest. Note the use of a *fenced* code block, and the /// `cargo` "language". /// /// ```cargo /// [dependencies] /// csv = "1.1" /// serde = { version = "1.0", features = ["derive"] } /// ``` use std::error::Error; use std::io::{BufWriter, Write}; use std::fs::File; use serde::Deserialize; static BED: &[u8] = b"chrom1 1 15 foo 454 - chrom1 40 45 bar 2 + chrom2 4 45 baz 2 - "; #[derive(Debug, Deserialize)] struct BedRecord { chrom: String, start: u64, end: u64, name: Option, score: Option, strand: Option, } fn main() -> Result<(), Box> { let f_out = File::create(&snakemake.output[0])?; let mut ostream = BufWriter::new(f_out); println!("Loaded"); let keep_strand = match &snakemake.params.keep { s if s.len() == 1 => Some(s.chars().next().unwrap() as char), _ => None, }; println!("Reading BED file..."); let mut rdr = csv::ReaderBuilder::new().has_headers(false).delimiter(b'\t').from_reader(BED); for result in rdr.deserialize() { // Notice that we need to provide a type hint for automatic // deserialization. let record: BedRecord = result?; let l = record.end - record.start; if record.strand == keep_strand { write!(&mut ostream, "{}\t{}\n", record.chrom, l)?; } } println!("Output written to {}", &snakemake.output[0]); Ok(()) } snakemake-6.15.1/tests/test_script/scripts/test.R000066400000000000000000000005541417574166400220640ustar00rootroot00000000000000print(snakemake@wildcards) print(snakemake@threads) print(snakemake@log) print(snakemake@config) print(snakemake@params) if(snakemake@params[["xy"]] != TRUE) { stop("Error evaluating param.") } if(snakemake@config[["test"]] != TRUE) { stop("Error evaluating config.") } values <- scan(snakemake@input[[1]]) write(values, file = snakemake@output[["txt"]]) snakemake-6.15.1/tests/test_script/scripts/test.Rmd000066400000000000000000000004331417574166400224010ustar00rootroot00000000000000--- title: "Test Report" author: "Mattias" date: "March 22, 2017" output: html_document: highlight: null number_sections: no theme: null mathjax: null --- ## R Markdown This is an R Markdown document. Test include from snakemake `r snakemake@params[["test"]]`. snakemake-6.15.1/tests/test_script/scripts/test.jl000066400000000000000000000005161417574166400222660ustar00rootroot00000000000000println("Julia script executing!") @assert snakemake.config["test"] == true @assert snakemake.params["integer"] == 123 @assert snakemake.output[1] == "julia.out" @assert snakemake.input[1] == "test.in" @assert snakemake.input["named_input"] == "test.in" f = open(snakemake.output[1], "w") println(f, "Julia test succeded!") close(f)snakemake-6.15.1/tests/test_script/scripts/test.py000066400000000000000000000001111417574166400223000ustar00rootroot00000000000000with open(snakemake.output[0], "w") as out: print(1, 2, 3, file=out) snakemake-6.15.1/tests/test_script/scripts/test.rs000066400000000000000000000010311417574166400222760ustar00rootroot00000000000000use std::io::Write; println!("Rust script executing!"); assert_eq!(snakemake.config.test, true); assert_eq!(snakemake.params.integer, 123); assert_eq!(snakemake.output[0], "rust.out"); assert_eq!(snakemake.input[0], "test.in"); assert_eq!(snakemake.input.named_input, "test.in"); for (idx, val) in (&snakemake.input).into_iter().enumerate() { dbg!(idx, &val); } let input = &snakemake.input; for value in input { dbg!(value); } let mut f = std::fs::File::create(&snakemake.output[0])?; write!(&mut f, "Rust test succeded!")?; snakemake-6.15.1/tests/test_script/test2.in000066400000000000000000000000061417574166400206540ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_script_py/000077500000000000000000000000001417574166400177775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script_py/Snakefile000066400000000000000000000002531417574166400216230ustar00rootroot00000000000000shell.executable("bash") configfile: "config.yaml" rule all: input: "test.out", rule: output: "test.out" script: "scripts/test.py" snakemake-6.15.1/tests/test_script_py/config.yaml000066400000000000000000000000131417574166400221220ustar00rootroot00000000000000test: true snakemake-6.15.1/tests/test_script_py/expected-results/000077500000000000000000000000001417574166400232775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script_py/expected-results/test.out000066400000000000000000000000061417574166400250030ustar00rootroot000000000000001 2 3 snakemake-6.15.1/tests/test_script_py/scripts/000077500000000000000000000000001417574166400214665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_script_py/scripts/test.py000066400000000000000000000001111417574166400230100ustar00rootroot00000000000000with open(snakemake.output[0], "w") as out: print(1, 2, 3, file=out) snakemake-6.15.1/tests/test_set_resources/000077500000000000000000000000001417574166400206505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_set_resources/Snakefile000066400000000000000000000002461417574166400224760ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.txt" resources: a=2, b="bar" shell: "echo {resources.a} {resources.b} > {output}" snakemake-6.15.1/tests/test_set_resources/expected-results/000077500000000000000000000000001417574166400241505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_set_resources/expected-results/test.txt000066400000000000000000000000061417574166400256640ustar00rootroot000000000000001 foo snakemake-6.15.1/tests/test_shadow/000077500000000000000000000000001417574166400172505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadow/Snakefile000066400000000000000000000077161417574166400211070ustar00rootroot00000000000000rule all: input: "simple_shallow.out", "simple_full.out", "absolute_exists.out", "touched.out", "log_exists.out", "protected.out", "benchmark_exists.out", "minimal_ok.out" rule shallow: input: "test.in" output: "simple_shallow.out" shadow: "shallow" shell: """ echo 1 > junk.out cat {input} >> {output} echo simple_shallow >> {output} test ! -f more_junk.out """ rule full: input: "test.in" output: "simple_full.out" shadow: "full" shell: """ echo 1 > more_junk.out cat {input} > {output} echo simple_full >> {output} test ! -f junk.out """ rule absolute_link: input: "test.in" output: "absolute.out", "absolute_link.out" shadow: "shallow" shell: """ echo 1 > absolute.out DIRNAME=$(perl -e 'use Cwd "abs_path"; print abs_path(shift)' .) ln -s $DIRNAME/absolute.out absolute_link.out """ # Snakemake has check_broken_symlink so we just need to test existence rule absolute_stat: input: "absolute_link.out" output: touch("absolute_exists.out") shell: """ test -f {input} """ rule log_stat: input: "touched.out" output: touch("log_exists.out") shell: """ test -f shadow.log """ rule touch: output: touch("touched.out") log: "shadow.log" shadow: "shallow" shell: """ echo 1 > {log} """ rule protected: output: protected("protected.out") shadow: "shallow" shell: """ touch {output} """ rule benchmark: output: touch("benchmark.out") benchmark: "benchmark.txt" shadow: "shallow" shell: """ touch {output} """ rule benchmark_stat: input: "benchmark.out" output: touch("benchmark_exists.out") shell: """ test -f benchmark.txt """ # Setup files for testing of shadow: "minimal" rule minimal_setup: input: "test.in" output: "subdir1/subdir2/test.in", "subdir1/subdir2/test.symbolic.in" shell: """ cp -P {input} {output[0]} cd subdir1/subdir2 ln -s test.in test.symbolic.in """ # Tests relative inputs/outputs and in the current dir rule minimal_rel_curdir: input: "test.in" output: protected("simple_minimal.out") benchmark: "benchmark_minimal.txt" log: "minimal.log" shadow: "minimal" shell: """ touch minimal_junk.out cat {input} >> {output} echo simple_minimal >> {output} echo minimal_log > {log} """ # Tests relative inputs/outputs in subdirectories rule minimal_rel_subdir: input: "subdir1/subdir2/test.in" output: "outdir/minimal.out" shadow: "minimal" shell: """ touch outdir/minimal_junk.out touch {output} """ # Tests symbolic input/output rule minimal_symbolic: input: "subdir1/subdir2/test.symbolic.in" output: "outdir/minimal_real.out", "outdir/minimal_symbolic.out" shadow: "minimal" shell: """ touch outdir/minimal_real.out cd outdir ln -s minimal_real.out minimal_symbolic.out """ # Tests absolute input/output rule minimal_absolute: input: os.path.join(os.getcwd(),"test.in") output: os.path.join(os.getcwd(),"outdir/minimal_absolute.out") shadow: "minimal" shell: """ touch {output} """ # Aggregates tests for shadow: "minimal" rule minimal_ok: input: "simple_minimal.out", "outdir/minimal.out", "outdir/minimal_symbolic.out", os.path.join(os.getcwd(),"outdir/minimal_absolute.out") output: "minimal_ok.out" shell: """ #test ! -w {input[0]} test -f benchmark_minimal.txt test -f minimal.log test ! -f minimal_junk.out test ! -f outdir/minimal_junk.out touch {output} """ snakemake-6.15.1/tests/test_shadow/expected-results/000077500000000000000000000000001417574166400225505ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadow/expected-results/simple_full.out000066400000000000000000000000171417574166400256120ustar00rootroot00000000000000in simple_full snakemake-6.15.1/tests/test_shadow/expected-results/simple_minimal.out000066400000000000000000000000221417574166400262720ustar00rootroot00000000000000in simple_minimal snakemake-6.15.1/tests/test_shadow/expected-results/simple_shallow.out000066400000000000000000000000221417574166400263150ustar00rootroot00000000000000in simple_shallow snakemake-6.15.1/tests/test_shadow/test.in000066400000000000000000000000031417574166400205500ustar00rootroot00000000000000in snakemake-6.15.1/tests/test_shadow_copy/000077500000000000000000000000001417574166400203025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadow_copy/Snakefile000066400000000000000000000052761417574166400221400ustar00rootroot00000000000000rule all: input: "minimal_ok.out" # Setup files for testing of shadow: "minimal" rule minimal_setup: input: "test.in" output: "subdir1/subdir2/test.in", "subdir1/subdir2/test.symbolic.in" shell: """ cp -P {input} {output[0]} cd subdir1/subdir2 ln -s test.in test.symbolic.in """ # Tests relative inputs/outputs and in the current dir rule minimal_rel_curdir: input: "test.in" output: protected("simple_minimal.out") benchmark: "benchmark_minimal.txt" log: "minimal.log" shadow: "copy-minimal" shell: """ if [ ! -f "{input}" -o -L "{input}" ]; then echo "Input file is symbolic link and not a copy" exit 1 fi touch minimal_junk.out cat {input} >> {output} echo simple_minimal >> {output} echo minimal_log > {log} """ # Tests relative inputs/outputs in subdirectories rule minimal_rel_subdir: input: "subdir1/subdir2/test.in" output: "outdir/minimal.out" shadow: "copy-minimal" shell: """ if [ ! -f "{input}" -o -L "{input}" ]; then echo "Input file is symbolic link and not a copy" exit 1 fi touch outdir/minimal_junk.out touch {output} """ # Tests symbolic input/output rule minimal_symbolic: input: "subdir1/subdir2/test.symbolic.in" output: "outdir/minimal_real.out", "outdir/minimal_symbolic.out" shadow: "copy-minimal" shell: """ if [ ! -f "{input}" -o -L "{input}" ]; then echo "Input file is symbolic link and not a copy" exit 1 fi touch outdir/minimal_real.out cd outdir ln -s minimal_real.out minimal_symbolic.out """ # Tests absolute input/output rule minimal_absolute: input: os.path.join(os.getcwd(),"test.in") output: os.path.join(os.getcwd(),"outdir/minimal_absolute.out") shadow: "copy-minimal" shell: """ if [ ! -f "{input}" -o -L "{input}" ]; then echo "Input file is symbolic link and not a copy" exit 1 fi touch {output} """ # Aggregates tests for shadow: "minimal" rule minimal_ok: input: "simple_minimal.out", "outdir/minimal.out", "outdir/minimal_symbolic.out", os.path.join(os.getcwd(),"outdir/minimal_absolute.out") output: "minimal_ok.out" shell: """ #test ! -w {input[0]} test -f benchmark_minimal.txt test -f minimal.log test ! -f minimal_junk.out test ! -f outdir/minimal_junk.out touch {output} """ snakemake-6.15.1/tests/test_shadow_copy/expected-results/000077500000000000000000000000001417574166400236025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadow_copy/expected-results/simple_minimal.out000066400000000000000000000000221417574166400273240ustar00rootroot00000000000000in simple_minimal snakemake-6.15.1/tests/test_shadow_copy/test.in000066400000000000000000000000031417574166400216020ustar00rootroot00000000000000in snakemake-6.15.1/tests/test_shadow_prefix/000077500000000000000000000000001417574166400206255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadow_prefix/Snakefile000066400000000000000000000002451417574166400224520ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test.in" output: "shadow_prefix" shadow: "shallow" shell: "test -h shadowdir && cp -L {input} {output}" snakemake-6.15.1/tests/test_shadow_prefix/expected-results/000077500000000000000000000000001417574166400241255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadow_prefix/expected-results/shadow_prefix000066400000000000000000000000031417574166400267030ustar00rootroot00000000000000in snakemake-6.15.1/tests/test_shadow_prefix/qsub000077500000000000000000000001751417574166400215300ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM $1 snakemake-6.15.1/tests/test_shadow_prefix/test.in000066400000000000000000000000031417574166400221250ustar00rootroot00000000000000in snakemake-6.15.1/tests/test_shadowed_log/000077500000000000000000000000001417574166400204225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadowed_log/Snakefile000066400000000000000000000001201417574166400222370ustar00rootroot00000000000000rule all: shadow: "minimal" output: touch("all.out") log: "all.log" snakemake-6.15.1/tests/test_shadowed_log/expected-results/000077500000000000000000000000001417574166400237225ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadowed_log/expected-results/all.log000066400000000000000000000000001417574166400251630ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shadowed_log/expected-results/all.out000066400000000000000000000000001417574166400252110ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shell/000077500000000000000000000000001417574166400170725ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shell/Snakefile000066400000000000000000000003631417574166400207200ustar00rootroot00000000000000shell.executable("bash") rule: input: "test.in" output: "test.out" run: test = shell("echo 42;", read=True) assert int(test) == 42 with open(output[0], "w") as f: for l in shell("cat {input}", iterable=True): print(l, file=f) snakemake-6.15.1/tests/test_shell/expected-results/000077500000000000000000000000001417574166400223725ustar00rootroot00000000000000snakemake-6.15.1/tests/test_shell/expected-results/test.out000066400000000000000000000000101417574166400240710ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_shell/test.in000066400000000000000000000000101417574166400203700ustar00rootroot00000000000000foo bar snakemake-6.15.1/tests/test_singularity/000077500000000000000000000000001417574166400203355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity/Snakefile000066400000000000000000000006751417574166400221710ustar00rootroot00000000000000 rule a: input: "test.txt" output: "test.out" singularity: "docker://bash" shell: 'ls {input}; echo "test" > {output}' rule b: output: "test.txt" singularity: "docker://python:3.8.3" script: "script.py" rule c: output: "invalid.txt" singularity: "docker://invalid/image url even with whitespace" shell: "touch {output}" snakemake-6.15.1/tests/test_singularity/expected-results/000077500000000000000000000000001417574166400236355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity/expected-results/test.out000066400000000000000000000000051417574166400253400ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_singularity/script.py000066400000000000000000000000501417574166400222060ustar00rootroot00000000000000open(snakemake.output[0], "w").close() snakemake-6.15.1/tests/test_singularity_conda/000077500000000000000000000000001417574166400215015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_conda/Snakefile000066400000000000000000000003631417574166400233270ustar00rootroot00000000000000 singularity: "docker://continuumio/miniconda3" rule a: output: "test.out" conda: "test-env.yaml" shell: "ls /singularity; " # this fails if not in singularity container "bwa 2> {output} || true" snakemake-6.15.1/tests/test_singularity_conda/expected-results/000077500000000000000000000000001417574166400250015ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_conda/expected-results/test.out000066400000000000000000000022341417574166400265120ustar00rootroot00000000000000 Program: bwa (alignment via Burrows-Wheeler transformation) Version: 0.7.17-r1188 Contact: Heng Li Usage: bwa [options] Command: index index sequences in the FASTA format mem BWA-MEM algorithm fastmap identify super-maximal exact matches pemerge merge overlapping paired ends (EXPERIMENTAL) aln gapped/ungapped alignment samse generate alignment (single ended) sampe generate alignment (paired ended) bwasw BWA-SW for long queries shm manage indices in shared memory fa2pac convert FASTA to PAC format pac2bwt generate BWT from PAC pac2bwtgen alternative algorithm for generating BWT bwtupdate update .bwt to the new format bwt2sa generate SA from BWT and Occ Note: To use BWA, you need to first index the genome with `bwa index'. There are three alignment algorithms in BWA: `mem', `bwasw', and `aln/samse/sampe'. If you are not sure which to use, try `bwa mem' first. Please `man ./bwa.1' for the manual. snakemake-6.15.1/tests/test_singularity_conda/test-env.yaml000066400000000000000000000001061417574166400241270ustar00rootroot00000000000000channels: - bioconda - conda-forge dependencies: - bwa ==0.7.17 snakemake-6.15.1/tests/test_singularity_global/000077500000000000000000000000001417574166400216555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_global/Snakefile000066400000000000000000000003161417574166400235010ustar00rootroot00000000000000singularity: "docker://bash" rule a: output: "test.out" shell: 'if [ -d "/.singularity.d/" ]; then echo "In Singularity" > {output}; else echo "Not in Singularity" > {output}; fi' snakemake-6.15.1/tests/test_singularity_global/expected-results/000077500000000000000000000000001417574166400251555ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_global/expected-results/test.out000066400000000000000000000000171417574166400266630ustar00rootroot00000000000000In Singularity snakemake-6.15.1/tests/test_singularity_module/000077500000000000000000000000001417574166400217025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_module/Snakefile000066400000000000000000000001231417574166400235220ustar00rootroot00000000000000module test: snakefile: "module.smk" config: config use rule * from test snakemake-6.15.1/tests/test_singularity_module/expected-results/000077500000000000000000000000001417574166400252025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_module/expected-results/.gitkeep000066400000000000000000000000001417574166400266210ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_module/module.smk000066400000000000000000000006751417574166400237130ustar00rootroot00000000000000 rule a: input: "test.txt" output: "test.out" singularity: "docker://bash" shell: 'ls {input}; echo "test" > {output}' rule b: output: "test.txt" singularity: "docker://python:3.8.3" script: "script.py" rule c: output: "invalid.txt" singularity: "docker://invalid/image url even with whitespace" shell: "touch {output}" snakemake-6.15.1/tests/test_singularity_module/script.py000066400000000000000000000000501417574166400235530ustar00rootroot00000000000000open(snakemake.output[0], "w").close() snakemake-6.15.1/tests/test_singularity_none/000077500000000000000000000000001417574166400213545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_none/Snakefile000066400000000000000000000003541417574166400232020ustar00rootroot00000000000000singularity: "docker://bash" rule a: singularity: None output: "test.out" shell: 'if [ -d "/.singularity.d/" ]; then echo "In Singularity" > {output}; else echo "Not in Singularity" > {output}; fi' snakemake-6.15.1/tests/test_singularity_none/expected-results/000077500000000000000000000000001417574166400246545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_singularity_none/expected-results/test.out000066400000000000000000000000231417574166400263570ustar00rootroot00000000000000Not in Singularity snakemake-6.15.1/tests/test_solver/000077500000000000000000000000001417574166400172755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_solver/Snakefile000066400000000000000000000013761417574166400211300ustar00rootroot00000000000000shell.executable("bash") rule all: input: "test.out" rule a: output: temp("long-path-with-stange-symbols-%,._long-path-with-stange-symbols-%,._long-path-with-stange-symbols-%,._input/stange-symbols-%,._long-path/_ebio_abt3_projects_software_dev_llmga_find_refs_scratch_TEST_nyoungblut_LLMGA_find_refs_2405@30379736_2_T3_R2.fq.gz.txt") shell: "echo test > {output}" rule b: input: "long-path-with-stange-symbols-%,._long-path-with-stange-symbols-%,._long-path-with-stange-symbols-%,._input/stange-symbols-%,._long-path/_ebio_abt3_projects_software_dev_llmga_find_refs_scratch_TEST_nyoungblut_LLMGA_find_refs_2405@30379736_2_T3_R2.fq.gz.txt" output: "test.out" shell: "echo test1 > {output}" snakemake-6.15.1/tests/test_solver/expected-results/000077500000000000000000000000001417574166400225755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_solver/expected-results/test.out000066400000000000000000000000061417574166400243010ustar00rootroot00000000000000test1 snakemake-6.15.1/tests/test_source_path/000077500000000000000000000000001417574166400202775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_source_path/expected-results/000077500000000000000000000000001417574166400235775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_source_path/expected-results/test.out000066400000000000000000000000041417574166400253010ustar00rootroot00000000000000foo snakemake-6.15.1/tests/test_source_path/workflow/000077500000000000000000000000001417574166400221515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_source_path/workflow/Snakefile000066400000000000000000000002271417574166400237760ustar00rootroot00000000000000rule a: output: "test.out" params: b=workflow.source_path("resources/test.txt") shell: "cat {params.b} > {output}" snakemake-6.15.1/tests/test_source_path/workflow/resources/000077500000000000000000000000001417574166400241635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_source_path/workflow/resources/test.txt000066400000000000000000000000041417574166400256750ustar00rootroot00000000000000foo snakemake-6.15.1/tests/test_spaces_in_fnames/000077500000000000000000000000001417574166400212605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_spaces_in_fnames/Snakefile000066400000000000000000000011221417574166400231000ustar00rootroot00000000000000rule indelrealigner: input: bam="{base}.bam",intervals="{base}.intervals",bai='{base}.bam.bai' output: bam=temp("{base} realigned.bam") params: batch="-q ccr -l nodes=1:gpfs" threads: 1 shell: "touch {output:q}" rule realignertargetcreator: input: "{base}.bam", "{base}.bam.bai" output: temp("{base}.intervals") params: batch="-q ccr -l nodes=1:gpfs" threads: 32 shell: "touch {output:q}" rule indexbam: threads: 1 input: '{base}.bam' output: temp('{base}.bam.bai') params: batch="-q ccr -l nodes=1:gpfs" shell: 'touch {output:q}' snakemake-6.15.1/tests/test_spaces_in_fnames/expected-results/000077500000000000000000000000001417574166400245605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_spaces_in_fnames/expected-results/test bam file realigned.bam000066400000000000000000000000001417574166400315410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_spaces_in_fnames/qsub000077500000000000000000000001751417574166400221630ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM $1 snakemake-6.15.1/tests/test_spaces_in_fnames/test bam file.bam000066400000000000000000000000001417574166400243260ustar00rootroot00000000000000snakemake-6.15.1/tests/test_speed/000077500000000000000000000000001417574166400170635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_speed/Snakefile000066400000000000000000000006551417574166400207150ustar00rootroot00000000000000 rule all: input: expand("step3/{sample}.txt", sample=range(100)) rule a: output: "step1/{sample}.txt" shell: "touch {output}" rule b: input: "step1/{sample}.txt" output: "step2/{sample}.txt" shell: "cp {input} {output}" rule c: input: "step2/{sample}.txt" output: "step3/{sample}.txt" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_srcdir/000077500000000000000000000000001417574166400172515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_srcdir/Snakefile000066400000000000000000000001711417574166400210740ustar00rootroot00000000000000rule: output: "test.out" params: srcdir("script.sh") shell: "sh {params} > {output}" snakemake-6.15.1/tests/test_srcdir/expected-results/000077500000000000000000000000001417574166400225515ustar00rootroot00000000000000snakemake-6.15.1/tests/test_srcdir/expected-results/test.out000066400000000000000000000000051417574166400242540ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_srcdir/script.sh000066400000000000000000000000241417574166400211050ustar00rootroot00000000000000#!/bin/sh echo test snakemake-6.15.1/tests/test_static_remote/000077500000000000000000000000001417574166400206255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_static_remote/S3MockedForStaticTest.py000066400000000000000000000117421417574166400252730ustar00rootroot00000000000000__author__ = "Christopher Tomkins-Tinch" __copyright__ = "Copyright 2015, Christopher Tomkins-Tinch" __email__ = "tomkinsc@broadinstitute.org" __license__ = "MIT" # built-ins import os, sys from contextlib import contextmanager import pickle import time import threading import functools # intra-module from snakemake.remote.S3 import ( RemoteObject as S3RemoteObject, RemoteProvider as S3RemoteProvider, ) from snakemake.remote.S3 import S3Helper from snakemake.decorators import dec_all_methods from snakemake.exceptions import WorkflowError from snakemake.logging import logger try: # third-party import boto3 from moto import mock_s3 import filechunkio except ImportError as e: raise WorkflowError( "The Python 3 packages 'moto', boto' and 'filechunkio' " + "need to be installed to use S3Mocked remote() file functionality. %s" % e.msg ) def noop(): pass def pickled_moto_wrapper(func): """ This is a class decorator that in turn decorates all methods within a class to mock out boto calls with moto-simulated ones. Since the moto backends are not persistent across calls by default, the wrapper also pickles the bucket state after each function call, and restores it before execution. This way uploaded files are available for follow-on tasks. Since snakemake may execute with multiple threads it also waits for the pickled bucket state file to be available before loading it in. This is a hackey alternative to using proper locks, but works ok in practice. """ def wrapper_func(self, *args, **kwargs): moto_context_file = "motoState.p" moto_context = mock_s3() moto_context.start() moto_context.backends["global"].reset = noop # load moto buckets from pickle if os.path.isfile(moto_context_file) and os.path.getsize(moto_context_file) > 0: with file_lock(moto_context_file): with open(moto_context_file, "rb") as f: moto_context.backends["global"].buckets = pickle.load(f) mocked_function = moto_context(func) retval = mocked_function(self, *args, **kwargs) with file_lock(moto_context_file): with open(moto_context_file, "wb") as f: pickle.dump(moto_context.backends["global"].buckets, f) moto_context.stop() return retval functools.update_wrapper(wrapper_func, func) wrapper_func.__wrapped__ = func return wrapper_func @dec_all_methods(pickled_moto_wrapper, prefix=None) class RemoteProvider(S3RemoteProvider): def __init__(self, *args, **kwargs): super(RemoteProvider, self).__init__(*args, **kwargs) @dec_all_methods(pickled_moto_wrapper, prefix=None) class RemoteObject(S3RemoteObject): """ This is a derivative of the S3 remote provider that mocks out boto-based S3 calls using the "moto" Python package. Only the initializer is different; it "uploads" the input test file to the moto-simulated bucket at the start. """ def __init__(self, *args, keep_local=False, provider=None, **kwargs): super(RemoteObject, self).__init__( *args, keep_local=keep_local, provider=provider, **kwargs ) bucket_name = "test-static-remote-bucket" test_files = ("test.txt", "out1.txt", "out2.txt") s3 = boto3.resource("s3") s3.create_bucket(Bucket=bucket_name) # "Upload" files that should be in S3 before tests... s3c = S3Helper() for test_file in test_files: if not s3c.exists_in_bucket(bucket_name, test_file): logger.debug( "Pre-populating remote bucket {} with file {}".format( bucket_name, test_file ) ) s3c.upload_to_s3(bucket_name, test_file) def mtime(self): if self.s3_key == "test.txt": logger.debug("test.txt is new") return float("inf") elif self.s3_key.startswith("out"): logger.debug("{} is old".format(self.s3_key)) # For some reason this breaks if you return 0 return 5 else: logger.debug("Using real mtime for {}".format(self.s3_key)) return super().mtime() # ====== Helpers ===== def touch(fname, mode=0o666, dir_fd=None, **kwargs): # create lock file faster # https://stackoverflow.com/a/1160227 flags = os.O_CREAT | os.O_APPEND with os.fdopen(os.open(fname, flags=flags, mode=mode, dir_fd=dir_fd)) as f: os.utime( f.fileno() if os.utime in os.supports_fd else fname, dir_fd=None if os.supports_fd else dir_fd, **kwargs ) @contextmanager def file_lock(filepath): lock_file = filepath + ".lock" while os.path.isfile(lock_file): time.sleep(2) touch(lock_file) try: yield finally: if os.path.isfile(lock_file): os.remove(lock_file) snakemake-6.15.1/tests/test_static_remote/Snakefile000066400000000000000000000027461417574166400224620ustar00rootroot00000000000000#import re, os, sys from S3MockedForStaticTest import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider() # remote dynamic file test # This makes use of a special provider that mocks up S3 using the moto # library so that boto calls hit local "buckets" rule all: input: # only keeping the files so we can copy them out to the cwd S3.remote("test-static-remote-bucket/out1.txt", keep_local=True), S3.remote("test-static-remote-bucket/out2.txt", keep_local=True) run: shell("for f in {input}; do mv $f ./; done") # This rule should run rule run_no_static: input: S3.remote('test-static-remote-bucket/test.txt', static=False) output: S3.remote('test-static-remote-bucket/out1.txt'), run: shell('''echo '{input} > {output}'; cat {input} | tee {output}''') # This rule should NOT run because Snakemake should assume that the # input file is static and has not changed. rule run_static: input: S3.remote('test-static-remote-bucket/test.txt', static=True) output: S3.remote('test-static-remote-bucket/out2.txt'), run: shell('''echo '{input} > {output}'; cat {input} | tee {output}''') raise Exception("This rule should never run") # after we finish, we need to remove the pickle storing # the local moto "buckets" so we are starting fresh # next time this test is run. This file is created by # the moto wrapper defined in S3Mocked.py onsuccess: shell("rm ./motoState.p") onerror: shell("rm ./motoState.p") snakemake-6.15.1/tests/test_static_remote/__init__.py000066400000000000000000000000001417574166400227240ustar00rootroot00000000000000snakemake-6.15.1/tests/test_static_remote/expected-results/000077500000000000000000000000001417574166400241255ustar00rootroot00000000000000snakemake-6.15.1/tests/test_static_remote/expected-results/out1.txt000066400000000000000000000000661417574166400255600ustar00rootroot00000000000000This file should overwrite out1.txt but not out2.txt. snakemake-6.15.1/tests/test_static_remote/expected-results/out2.txt000066400000000000000000000000621417574166400255550ustar00rootroot00000000000000This file should not be overwritten by the input. snakemake-6.15.1/tests/test_static_remote/out1.txt000066400000000000000000000000421417574166400222520ustar00rootroot00000000000000This file should get overwritten. snakemake-6.15.1/tests/test_static_remote/out2.txt000066400000000000000000000000621417574166400222550ustar00rootroot00000000000000This file should not be overwritten by the input. snakemake-6.15.1/tests/test_static_remote/test.txt000066400000000000000000000000661417574166400223470ustar00rootroot00000000000000This file should overwrite out1.txt but not out2.txt. snakemake-6.15.1/tests/test_strict_mode/000077500000000000000000000000001417574166400202775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_strict_mode/Snakefile000066400000000000000000000003411417574166400221210ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" shell: """ echo 'prints 1' $(exit 1) # Should fail with set -e echo 'prints 2' echo 'hello' > {output} """ snakemake-6.15.1/tests/test_strict_mode/expected-results/000077500000000000000000000000001417574166400235775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_strict_mode/expected-results/.gitignore000066400000000000000000000000001417574166400255550ustar00rootroot00000000000000snakemake-6.15.1/tests/test_string_resources/000077500000000000000000000000001417574166400213635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_string_resources/Snakefile000066400000000000000000000004311417574166400232050ustar00rootroot00000000000000rule b: input: "test.txt" output: "test2.txt" shell: "echo {resources.gpu_model} > {output}" rule a: output: "test.txt" resources: gpu_model="nvidia-tesla-p100" shell: "echo {resources.gpu_model} > {output}" snakemake-6.15.1/tests/test_string_resources/expected-results/000077500000000000000000000000001417574166400246635ustar00rootroot00000000000000snakemake-6.15.1/tests/test_string_resources/expected-results/test.txt000066400000000000000000000000221417574166400263750ustar00rootroot00000000000000nvidia-tesla-p100 snakemake-6.15.1/tests/test_string_resources/expected-results/test2.txt000066400000000000000000000000221417574166400264570ustar00rootroot00000000000000nvidia-tesla-1000 snakemake-6.15.1/tests/test_string_resources/qsub.py000077500000000000000000000007701417574166400227160ustar00rootroot00000000000000#!/usr/bin/env python3 import sys import os import random from snakemake.utils import read_job_properties jobscript = sys.argv[1] job_properties = read_job_properties(jobscript) expected_model = "nvidia-tesla-p100" if job_properties["rule"] == "a" else "nvidia-tesla-1000" print(job_properties) assert job_properties["resources"]["gpu_model"] == expected_model with open("qsub.log", "a") as log: print(job_properties, file=log) print(random.randint(1, 100)) os.system("sh {}".format(jobscript)) snakemake-6.15.1/tests/test_subworkflow_config/000077500000000000000000000000001417574166400216745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_subworkflow_config/Snakefile000066400000000000000000000001641417574166400235210ustar00rootroot00000000000000configfile: "environment.yml" subworkflow test: snakefile: "sub.snake" rule all: input: test('test.txt') snakemake-6.15.1/tests/test_subworkflow_config/environment.yml000066400000000000000000000000141417574166400247560ustar00rootroot00000000000000test: test snakemake-6.15.1/tests/test_subworkflow_config/expected-results/000077500000000000000000000000001417574166400251745ustar00rootroot00000000000000snakemake-6.15.1/tests/test_subworkflow_config/expected-results/test.txt000066400000000000000000000000001417574166400267020ustar00rootroot00000000000000snakemake-6.15.1/tests/test_subworkflow_config/sub.snake000066400000000000000000000000501417574166400235030ustar00rootroot00000000000000rule all: output: touch('test.txt') snakemake-6.15.1/tests/test_subworkflows/000077500000000000000000000000001417574166400205325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_subworkflows/Snakefile000066400000000000000000000004541417574166400223610ustar00rootroot00000000000000import os.path subworkflow test02: workdir: config["subworkdir"] configfile: "subconfig.yaml" # test optional config files rule: input: "test.out" def test_in(wildcards): return test02("test.out") rule: input: test_in output: "test.out" shell: "cp {input} {output}" snakemake-6.15.1/tests/test_subworkflows/expected-results/000077500000000000000000000000001417574166400240325ustar00rootroot00000000000000snakemake-6.15.1/tests/test_subworkflows/expected-results/test.out000066400000000000000000000000101417574166400255310ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test_subworkflows/subconfig.yaml000066400000000000000000000000171417574166400233730ustar00rootroot00000000000000test: "xy" snakemake-6.15.1/tests/test_symlink_temp/000077500000000000000000000000001417574166400204765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_temp/Snakefile000066400000000000000000000011721417574166400223230ustar00rootroot00000000000000rule all: input: 'a.out', 'b.out' rule one: #the first rule in the work-flow input: '{sample}' output: temp('1.{sample}') shell: 'touch {output}' rule two: #this rule simply creates symbol link, following rule one input: '1.{sample}' output: temp('2.{sample}') shell: 'ln -s {input} {output}' rule three: #this rule simply creates symbol link, following rule two input: '2.{sample}' output: temp('3.{sample}') shell: 'ln -s {input} {output}' rule four: #this rule creates the final output, following rule three input: '3.{sample}' output: '{sample}.out' shell: 'touch {output}' snakemake-6.15.1/tests/test_symlink_temp/a000066400000000000000000000000001417574166400206270ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_temp/b000066400000000000000000000000001417574166400206300ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_temp/expected-results/000077500000000000000000000000001417574166400237765ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_temp/expected-results/.gitignore000066400000000000000000000000001417574166400257540ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_time_handling/000077500000000000000000000000001417574166400223335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_time_handling/Snakefile000066400000000000000000000051201417574166400241550ustar00rootroot00000000000000# vim: ft=python """Snakemake should work where the input/output of a rule is a symlink, no problem. Here we test that updates to symlinks are recognised and that the timestamps on symlinks are updated properly. Unfortunately this does not work on some Python builds where os.supports_follow_symlinks does not include utime(). This includes the Miniconda build used on continuum.io. Therefore this test is an expected failure on those systems. In practise, the impact of the bug is low - lutime() on a link will just be a no-op and users will see a warning message. Anyone for whom this is a real problem should install a fully-working version of Python. """ """Description of the test: input_file is a file that is 1 hour old input_link is a link to input file that is 4 hours old output_link is a symlink to input_link that is 2 hours old So output_link needs to be re-evaluated since the contents of input_file changed. rule main outputs the time difference between inout and output in hours which can be checked by Nose to ensure output_link gets touched by Snakemake but neither input_file nor input_link are changed. """ import os import time #Slightly crude way to stop this running twice if not os.path.exists("input_file"): def timestr(hr_delta=0): return time.strftime("%Y%m%d%H%M", time.localtime(time.time() - (hr_delta * 3600) - 5)) shell("touch -t {} input_file".format(timestr(1))) shell("ln -s input_file input_link") shell("touch -h -t {} input_link".format(timestr(4))) shell("ln -s input_link output_link") shell("touch -h -t {} output_link".format(timestr(2))) shell("ls -lR > /dev/stderr") rule main: output: "time_diff.txt" input: "output_link" run: time_diff1 = int( ( os.stat("output_link", follow_symlinks=False).st_mtime - os.stat("input_link", follow_symlinks=False).st_mtime ) / (60*60) ) time_diff2 = int( ( os.stat("output_link", follow_symlinks=False).st_mtime - os.stat("input_file", follow_symlinks=False).st_mtime ) / (60*60) ) # I expect the result "4 1" shell("ls -lR > /dev/stderr") shell("echo {time_diff1} {time_diff2} | tee time_diff.txt 2>&1") rule make_output: output: "output_link" input: "input_link" run: #shell("rm -f {output}") - no longer necessary shell("ln -s {input} {output}") #This next command should be undone by Snakemake which now touches all outpout shell("touch -h -t 201604011600 {output}") snakemake-6.15.1/tests/test_symlink_time_handling/expected-results/000077500000000000000000000000001417574166400256335ustar00rootroot00000000000000snakemake-6.15.1/tests/test_symlink_time_handling/expected-results/time_diff.txt000066400000000000000000000000041417574166400303140ustar00rootroot000000000000004 1 snakemake-6.15.1/tests/test_temp/000077500000000000000000000000001417574166400167305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_temp/Snakefile000066400000000000000000000011141417574166400205510ustar00rootroot00000000000000rule indelrealigner: input: bam="{base}.bam",intervals="{base}.intervals",bai='{base}.bam.bai' output: bam=temp("{base}.realigned.bam") params: batch="-q ccr -l nodes=1:gpfs" threads: 1 shell: "touch {output}" rule realignertargetcreator: input: "{base}.bam", "{base}.bam.bai" output: temp("{base}.intervals") params: batch="-q ccr -l nodes=1:gpfs" threads: 32 shell: "touch {output}" rule indexbam: threads: 1 input: '{base}.bam' output: temp('{base}.bam.bai') params: batch="-q ccr -l nodes=1:gpfs" shell: 'touch {output}' snakemake-6.15.1/tests/test_temp/expected-results/000077500000000000000000000000001417574166400222305ustar00rootroot00000000000000snakemake-6.15.1/tests/test_temp/expected-results/test.realigned.bam000066400000000000000000000000001417574166400256070ustar00rootroot00000000000000snakemake-6.15.1/tests/test_temp/qsub000077500000000000000000000001751417574166400176330ustar00rootroot00000000000000#!/bin/bash echo `date` >> qsub.log tail -n1 $1 >> qsub.log # simulate printing of job id by a random number echo $RANDOM $1 snakemake-6.15.1/tests/test_temp/test.bam000066400000000000000000000000001417574166400203560ustar00rootroot00000000000000snakemake-6.15.1/tests/test_temp_expand/000077500000000000000000000000001417574166400202675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_temp_expand/Snakefile000066400000000000000000000003231417574166400221110ustar00rootroot00000000000000 rule: input: "a.txt" output: "test.txt" shell: "touch {output}" rule: output: temp(expand("{ds}.txt", ds="a b c".split())) shell: "touch {output}" snakemake-6.15.1/tests/test_temp_expand/expected-results/000077500000000000000000000000001417574166400235675ustar00rootroot00000000000000snakemake-6.15.1/tests/test_temp_expand/expected-results/test.txt000066400000000000000000000000001417574166400252750ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tes.py000066400000000000000000000033111417574166400171260ustar00rootroot00000000000000import os import sys import subprocess import requests_mock import json sys.path.insert(0, os.path.dirname(__file__)) from common import * TES_URL = "http://localhost:8000" TEST_POST_RESPONSE = {"id": "id_1"} TEST_TASK = {"id": "id_1", "state": "COMPLETE"} def _validate_task(task): print("\n>>>> _validate_task", file=sys.stderr) required_keys = ["inputs", "outputs", "executors"] return all(i in task.keys() for i in required_keys) def _post_task(request, context): outdir = dpath("test_tes") print("\n>>>> _post_task", file=sys.stderr) task = json.loads(request.body) print(task, file=sys.stderr) if _validate_task(task): context.status_code = 200 # create output file print("\n create output files in {}".format(outdir), file=sys.stderr) with open("{}/test_output.txt".format(outdir), "w+") as f: f.write("output") # create log file with open("{}/test_log.txt".format(outdir), "w+") as f: f.write("log") return TEST_POST_RESPONSE else: context.status_code = 400 return None def _get_task(request, context): print("\n>>>> _get_task", file=sys.stderr) context.status_code = 200 return TEST_TASK def test_tes(requests_mock): requests_mock.register_uri("POST", "{}/v1/tasks".format(TES_URL), json=_post_task) requests_mock.register_uri( "GET", "{}/v1/tasks/id_1".format(TES_URL), json=_get_task ) workdir = dpath("test_tes") print("\n>>>> run workflow in {}".format(workdir), file=sys.stderr) run( workdir, snakefile="Snakefile", tes=TES_URL, no_tmpdir=True, cleanup=False, forceall=True, ) snakemake-6.15.1/tests/test_tes/000077500000000000000000000000001417574166400165565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tes/Snakefile000066400000000000000000000002751417574166400204060ustar00rootroot00000000000000 rule all: input: "test_input.txt" output: "test_output.txt" log: "test_log.txt" shell: """ echo "task submitted to tes" """ snakemake-6.15.1/tests/test_tes/expected-results/000077500000000000000000000000001417574166400220565ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tes/expected-results/.gitkeep000066400000000000000000000000001417574166400234750ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tes/test_input.txt000066400000000000000000000000041417574166400215070ustar00rootroot00000000000000testsnakemake-6.15.1/tests/test_threads/000077500000000000000000000000001417574166400174155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_threads/Snakefile000066400000000000000000000002341417574166400212400ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" threads: 20 run: print(threads) shell("echo {threads} > {output}") snakemake-6.15.1/tests/test_threads/expected-results/000077500000000000000000000000001417574166400227155ustar00rootroot00000000000000snakemake-6.15.1/tests/test_threads/expected-results/test.out000066400000000000000000000000031417574166400244160ustar00rootroot0000000000000020 snakemake-6.15.1/tests/test_threads0/000077500000000000000000000000001417574166400174755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_threads0/Snakefile000066400000000000000000000001771417574166400213260ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" threads: 0 shell: "echo {threads} > {output}" snakemake-6.15.1/tests/test_threads0/expected-results/000077500000000000000000000000001417574166400227755ustar00rootroot00000000000000snakemake-6.15.1/tests/test_threads0/expected-results/test.out000066400000000000000000000000021417574166400244750ustar00rootroot000000000000000 snakemake-6.15.1/tests/test_tibanna.py000066400000000000000000000012631417574166400177530ustar00rootroot00000000000000import os import sys sys.path.insert(0, os.path.dirname(__file__)) from common import * # run tibanna test before any moto-related tests because they apparently render AWS environment variables invalid or uneffective. def test_tibanna(): workdir = dpath("test_tibanna") subprocess.check_call(["python", "cleanup.py"], cwd=workdir) os.environ["TEST_ENVVAR1"] = "test" os.environ["TEST_ENVVAR2"] = "test" run( workdir, use_conda=True, configfiles=[os.path.join(workdir, "config.json")], default_remote_prefix="snakemake-tibanna-test/1", tibanna_sfn="tibanna_unicorn_johannes", tibanna_config="spot_instance=true", ) snakemake-6.15.1/tests/test_tibanna/000077500000000000000000000000001417574166400173775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tibanna/README.md000066400000000000000000000007351417574166400206630ustar00rootroot00000000000000``` # the following has been performed by aws admin already tibanna deploy_unicorn --usergroup=johannes --buckets=snakemake-tibanna-test,snakemake-tibanna-test2 ``` ``` # run the following to do a test run pip install -U tibanna python cleanup.py # first delete output files that are already on s3 export TIBANNA_DEFAULT_STEP_FUNCTION_NAME=tibanna_unicorn_johannes snakemake --tibanna --use-conda --configfile=config.json --default-remote-prefix=snakemake-tibanna-test/1 ``` snakemake-6.15.1/tests/test_tibanna/Snakefile000066400000000000000000000036421417574166400212300ustar00rootroot00000000000000# vim: syntax=python # # step1 and step1a are grouped. step1b must run concurrently with step1+step1a. # step2 waits for step1, step1a and step1b to finish. # all is the final rule. # step1, step1a and step1b use a conda environment. # Input of step1, step1b and all are set remote. # Output of step2 is set remote. from snakemake.remote.S3 import RemoteProvider as S3RemoteProvider S3 = S3RemoteProvider() #envvars: # "TEST_ENVVAR1", # "TEST_ENVVAR2" rule all: input: final = S3.remote("snakemake-tibanna-test/1/final_message"), # final = "snakemake-tibanna-test/1/final_message" final2 = S3.remote("snakemake-tibanna-test2/1/final_message") rule step1: conda: "env.yml" group: "mygroup" input: S3.remote("snakemake-tibanna-test/1/somefile") output: message = "message1" shell: """ echo {config[message]} > message1 cat snakemake-tibanna-test/1/somefile >> message1 """ rule step1a: conda: "env.yml" group: "mygroup" input: message = "message1" output: next_message = "next_message" shell: """ cat message1 message1 > next_message """ rule step1b: conda: "env.yml" input: S3.remote("snakemake-tibanna-test/1/somefile2") output: message = "message2" log: "log.txt" benchmark: "benchmark.txt" threads: 1 resources: mem_mb=1024 shell: """ echo "abcdefg" > message2 cat snakemake-tibanna-test/1/somefile2 >> message2 """ rule step2: input: message1 = "next_message", message2 = "message2" output: final = S3.remote("snakemake-tibanna-test/1/final_message"), # final = "snakemake-tibanna-test/1/final_message" final2 = S3.remote("snakemake-tibanna-test2/1/final_message") script: "scripts/step2.py" snakemake-6.15.1/tests/test_tibanna/cleanup.py000066400000000000000000000010541417574166400214000ustar00rootroot00000000000000import subprocess import boto3 # clean up local subprocess.call(["rm", "-rf", ".snakemake"]) subprocess.call(["rm", "-rf", "snakemake-tibanna-test"]) # clean up s3 s3 = boto3.client("s3") s3.delete_objects( Bucket="snakemake-tibanna-test", Delete={ "Objects": [ {"Key": "1/message1"}, {"Key": "1/message2"}, {"Key": "1/next_message"}, {"Key": "1/final_message"}, ] }, ) s3.delete_objects( Bucket="snakemake-tibanna-test2", Delete={"Objects": [{"Key": "1/final_message"}]} ) snakemake-6.15.1/tests/test_tibanna/config.json000066400000000000000000000000271417574166400215360ustar00rootroot00000000000000{"message": "hahaha"} snakemake-6.15.1/tests/test_tibanna/env.yml000066400000000000000000000000751417574166400207140ustar00rootroot00000000000000name: pairix channels: - bioconda dependencies: - pairix snakemake-6.15.1/tests/test_tibanna/expected-results/000077500000000000000000000000001417574166400226775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tibanna/expected-results/.gitkeep000066400000000000000000000000011417574166400243170ustar00rootroot00000000000000 snakemake-6.15.1/tests/test_tibanna/scripts/000077500000000000000000000000001417574166400210665ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tibanna/scripts/step2.py000066400000000000000000000002341417574166400224740ustar00rootroot00000000000000from shutil import copyfile copyfile("message2", "snakemake-tibanna-test/1/final_message") copyfile("message2", "snakemake-tibanna-test2/1/final_message") snakemake-6.15.1/tests/test_tmpdir/000077500000000000000000000000001417574166400172625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tmpdir/Snakefile000066400000000000000000000004401417574166400211040ustar00rootroot00000000000000rule a: input: "test2.txt" output: "test.txt" shell: "echo {resources.tmpdir} > {output}" rule b: output: "test2.txt" resources: tmpdir="foo" shell: "echo {resources.tmpdir} $TMPDIR $TEMP $TMP $TEMPDIR > {output}" snakemake-6.15.1/tests/test_tmpdir/expected-results/000077500000000000000000000000001417574166400225625ustar00rootroot00000000000000snakemake-6.15.1/tests/test_tmpdir/expected-results/test.txt000066400000000000000000000000051417574166400242750ustar00rootroot00000000000000/tmp snakemake-6.15.1/tests/test_tmpdir/expected-results/test2.txt000066400000000000000000000000241417574166400243600ustar00rootroot00000000000000foo foo foo foo foo snakemake-6.15.1/tests/test_touch/000077500000000000000000000000001417574166400171055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch/Snakefile000066400000000000000000000001101417574166400207210ustar00rootroot00000000000000rule: output: touch("test.out") shell: "exit 0" snakemake-6.15.1/tests/test_touch/expected-results/000077500000000000000000000000001417574166400224055ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch/expected-results/test.out000066400000000000000000000000001417574166400241030ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch_pipeline_with_temp_dir/000077500000000000000000000000001417574166400237105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch_pipeline_with_temp_dir/Snakefile000066400000000000000000000005701417574166400255360ustar00rootroot00000000000000rule all: input: "out.txt" rule input: output: temp("tmp.txt") run: with open(f"{output}", "w") as output: print("tmp", file=output) rule intemediate: input: "tmp.txt" output: "out.txt" run: with open(f"{input}") as input: with open(f"{output}", "w") as output: print(*input.readlines(), file=output)snakemake-6.15.1/tests/test_touch_pipeline_with_temp_dir/expected-results/000077500000000000000000000000001417574166400272105ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch_pipeline_with_temp_dir/expected-results/out.txt000066400000000000000000000000051417574166400305530ustar00rootroot00000000000000tmp snakemake-6.15.1/tests/test_touch_pipeline_with_temp_dir/out.txt000066400000000000000000000000051417574166400252530ustar00rootroot00000000000000tmp snakemake-6.15.1/tests/test_touch_remote_prefix/000077500000000000000000000000001417574166400220355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch_remote_prefix/Snakefile.touch000066400000000000000000000003431417574166400250020ustar00rootroot00000000000000rule all: input: "fileJob2.txt" rule job1: output: "fileJob1" shell: "echo Hello World -- job1 > {output}" rule job2: input: "fileJob1" output: touch("fileJob2.txt") shell: "echo Hello World! -- job2" snakemake-6.15.1/tests/test_touch_remote_prefix/expected-results/000077500000000000000000000000001417574166400253355ustar00rootroot00000000000000snakemake-6.15.1/tests/test_touch_remote_prefix/expected-results/fileJob1000066400000000000000000000000241417574166400267070ustar00rootroot00000000000000Hello World -- job1 snakemake-6.15.1/tests/test_touch_remote_prefix/expected-results/fileJob2.txt000066400000000000000000000000001417574166400275200ustar00rootroot00000000000000snakemake-6.15.1/tests/test_unpack_dict/000077500000000000000000000000001417574166400202475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_unpack_dict/Snakefile000066400000000000000000000011031417574166400220660ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'prefix.out1.txt', 'prefix.out2.txt', def get_in(wildcards): result = {'one': '{wildcards.prefix}.in1.txt', 'two': '{wildcards.prefix}.in2.txt'} return {key: value.format(wildcards=wildcards) for key, value in result.items()} def get_out(): return {'one': '{prefix}.out1.txt', 'two': '{prefix}.out2.txt'} rule copy_files: input: unpack(get_in) output: **get_out() shell: """ cp {input.one} {output.one} cp {input.two} {output.two} """ snakemake-6.15.1/tests/test_unpack_dict/expected-results/000077500000000000000000000000001417574166400235475ustar00rootroot00000000000000snakemake-6.15.1/tests/test_unpack_dict/expected-results/prefix.out1.txt000066400000000000000000000000021417574166400264640ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_unpack_dict/expected-results/prefix.out2.txt000066400000000000000000000000021417574166400264650ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_unpack_dict/prefix.in1.txt000066400000000000000000000000021417574166400227630ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_unpack_dict/prefix.in2.txt000066400000000000000000000000021417574166400227640ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_unpack_list/000077500000000000000000000000001417574166400202775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_unpack_list/Snakefile000066400000000000000000000010101417574166400221130ustar00rootroot00000000000000shell.executable("bash") rule all: input: 'prefix.out1.txt', 'prefix.out2.txt', def get_in(wildcards): result = ['{wildcards.prefix}.in1.txt', '{wildcards.prefix}.in2.txt'] return [x.format(wildcards=wildcards) for x in result] def get_out(): return ['{prefix}.out1.txt', '{prefix}.out2.txt'] rule copy_files: input: unpack(get_in) output: *get_out() shell: r""" cp {input[0]} {output[0]} cp {input[1]} {output[1]} """ snakemake-6.15.1/tests/test_unpack_list/expected-results/000077500000000000000000000000001417574166400235775ustar00rootroot00000000000000snakemake-6.15.1/tests/test_unpack_list/expected-results/prefix.out1.txt000066400000000000000000000000021417574166400265140ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_unpack_list/expected-results/prefix.out2.txt000066400000000000000000000000021417574166400265150ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_unpack_list/prefix.in1.txt000066400000000000000000000000021417574166400230130ustar00rootroot000000000000001 snakemake-6.15.1/tests/test_unpack_list/prefix.in2.txt000066400000000000000000000000021417574166400230140ustar00rootroot000000000000002 snakemake-6.15.1/tests/test_until/000077500000000000000000000000001417574166400171165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_until/Snakefile000066400000000000000000000023201417574166400207370ustar00rootroot00000000000000 rule all: input: "levelthree.txt", "independent.txt", expand("test{num}.final", num=[1, 2]) rule levelone: output: "levelone.txt" shell: "touch {output}" rule leveltwo_first: input: rules.levelone.output output: "leveltwo_first.txt" shell: "cp -f {input} {output}" rule leveltwo_second: input: rules.levelone.output output: "leveltwo_second.txt" shell: "cp -f {input} {output}" rule levelthree: # should not be created input: rules.leveltwo_first.output, rules.leveltwo_second.output output: "levelthree.txt" shell: "cat {input} > {output}" rule independent: # should be created in --omit-from but not --until output: "independent.txt" shell: "touch {output}" ###### Wildcard Rules ####### rule zeroth_wildcard: output: "test{num}.txt" shell: "touch {output}" rule first_wildcard: input: 'test{num}.txt' output: 'test{num}.first' shell: 'cp -f {input} {output}' rule second_wildcard: input: 'test{num}.first' output: 'test{num}.second' shell: 'cp -f {input} {output}' rule final_wildcard: input: 'test{num}.second' output: 'test{num}.final' shell: 'cp -f {input} {output}' snakemake-6.15.1/tests/test_until/expected-results/000077500000000000000000000000001417574166400224165ustar00rootroot00000000000000snakemake-6.15.1/tests/test_until/expected-results/levelone.txt000066400000000000000000000000001417574166400247560ustar00rootroot00000000000000snakemake-6.15.1/tests/test_until/expected-results/leveltwo_first.txt000066400000000000000000000000001417574166400262150ustar00rootroot00000000000000snakemake-6.15.1/tests/test_until/expected-results/leveltwo_second.txt000066400000000000000000000000001417574166400263410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_until/expected-results/test1.second000066400000000000000000000000001417574166400246410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_until/expected-results/test2.second000066400000000000000000000000001417574166400246420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_update_config/000077500000000000000000000000001417574166400205725ustar00rootroot00000000000000snakemake-6.15.1/tests/test_update_config/Snakefile000066400000000000000000000004211417574166400224130ustar00rootroot00000000000000import yaml include: "echo.rule" include: "cp.rule" configfile: "test.yaml" rule all: input: "test.out.copy" output: yaml = "config.yaml" run: with open(str(output.yaml), "w") as fh: fh.write(yaml.dump(config, default_flow_style=False)) snakemake-6.15.1/tests/test_update_config/cp.rule000066400000000000000000000005041417574166400220640ustar00rootroot00000000000000# -*- snakemake -*- from snakemake.utils import update_config c = { 'cp': { 'options': '-f', }, } update_config(config, c) rule cp: params: options = config['cp']['options'] input: '{prefix}.out' output: temporary('{prefix}.out.copy') shell: 'cp {params.options} {input} {output}' snakemake-6.15.1/tests/test_update_config/echo.rule000066400000000000000000000002761417574166400224060ustar00rootroot00000000000000# -*- snakemake -*- configfile: 'echo.yaml' rule echo: params: options = config['echo']['options'] output: temporary('{prefix}.out') shell: 'echo "{params.options}" > {output}' snakemake-6.15.1/tests/test_update_config/echo.yaml000066400000000000000000000000241417574166400223700ustar00rootroot00000000000000echo: options: '' snakemake-6.15.1/tests/test_update_config/expected-results/000077500000000000000000000000001417574166400240725ustar00rootroot00000000000000snakemake-6.15.1/tests/test_update_config/expected-results/config.yaml000066400000000000000000000000501417574166400262160ustar00rootroot00000000000000cp: options: -u echo: options: echo snakemake-6.15.1/tests/test_update_config/test.yaml000066400000000000000000000000501417574166400224300ustar00rootroot00000000000000cp: options: -u echo: options: echo snakemake-6.15.1/tests/test_url_include/000077500000000000000000000000001417574166400202705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_url_include/Snakefile000066400000000000000000000001661417574166400221170ustar00rootroot00000000000000 include: "https://github.com/snakemake/snakemake/raw/main/tests/test05/Snakefile" rule: input: "test.predictions" snakemake-6.15.1/tests/test_url_include/expected-results/000077500000000000000000000000001417574166400235705ustar00rootroot00000000000000snakemake-6.15.1/tests/test_url_include/expected-results/test.1.inter000066400000000000000000000000321417574166400257440ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test_url_include/expected-results/test.1.inter2000066400000000000000000000000321417574166400260260ustar00rootroot00000000000000testz0r Part test.1.inter snakemake-6.15.1/tests/test_url_include/expected-results/test.2.inter000066400000000000000000000000321417574166400257450ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test_url_include/expected-results/test.2.inter2000066400000000000000000000000321417574166400260270ustar00rootroot00000000000000testz0r Part test.2.inter snakemake-6.15.1/tests/test_url_include/expected-results/test.3.inter000066400000000000000000000000321417574166400257460ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test_url_include/expected-results/test.3.inter2000066400000000000000000000000321417574166400260300ustar00rootroot00000000000000testz0r Part test.3.inter snakemake-6.15.1/tests/test_url_include/expected-results/test.predictions000066400000000000000000000001161417574166400270120ustar00rootroot00000000000000testz0r Part test.1.inter testz0r Part test.2.inter testz0r Part test.3.inter snakemake-6.15.1/tests/test_url_include/test.in000066400000000000000000000000101417574166400215660ustar00rootroot00000000000000testz0r snakemake-6.15.1/tests/test_use_rule_same_module/000077500000000000000000000000001417574166400221605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_use_rule_same_module/Snakefile000066400000000000000000000002421417574166400240020ustar00rootroot00000000000000shell.executable("bash") rule a: output: "test.out" shell: "echo test > {output}" use rule a as b with: output: "test2.out"snakemake-6.15.1/tests/test_use_rule_same_module/expected-results/000077500000000000000000000000001417574166400254605ustar00rootroot00000000000000snakemake-6.15.1/tests/test_use_rule_same_module/expected-results/test.out000066400000000000000000000000051417574166400271630ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_use_rule_same_module/expected-results/test2.out000066400000000000000000000000051417574166400272450ustar00rootroot00000000000000test snakemake-6.15.1/tests/test_validate/000077500000000000000000000000001417574166400175545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_validate/Snakefile000066400000000000000000000006621417574166400214040ustar00rootroot00000000000000shell.executable("bash") import pandas as pd from snakemake.utils import validate configfile: "config.yaml" validate(config, "config.schema.yaml") samples = pd.read_table(config["samples"]).set_index("sample", drop=False) validate(samples, "samples.schema.yaml") rule all: input: expand("test.{sample}.txt", sample=samples.index) rule a: output: "test.{sample}.txt" shell: "touch {output}" snakemake-6.15.1/tests/test_validate/config.fail.yaml000066400000000000000000000000441417574166400226150ustar00rootroot00000000000000samples: samples.tsv adapter: ACGTX snakemake-6.15.1/tests/test_validate/config.schema.yaml000066400000000000000000000003411417574166400231420ustar00rootroot00000000000000$schema: "http://json-schema.org/draft-06/schema#" description: snakemake configuration file type: object properties: samples: type: string adapter: type: string pattern: "^[ACGT]+$" required: - samples snakemake-6.15.1/tests/test_validate/config.yaml000066400000000000000000000000431417574166400217020ustar00rootroot00000000000000samples: samples.tsv adapter: ACGT snakemake-6.15.1/tests/test_validate/expected-results/000077500000000000000000000000001417574166400230545ustar00rootroot00000000000000snakemake-6.15.1/tests/test_validate/expected-results/test.A.txt000066400000000000000000000000001417574166400247410ustar00rootroot00000000000000snakemake-6.15.1/tests/test_validate/expected-results/test.B.txt000066400000000000000000000000001417574166400247420ustar00rootroot00000000000000snakemake-6.15.1/tests/test_validate/samples.schema.yaml000066400000000000000000000005741417574166400233510ustar00rootroot00000000000000$schema: "https://json-schema.org/draft-06/schema#" description: an entry in the sample sheet properties: sample: type: string description: sample name/identifier condition: type: string description: sample condition that will be compared during differential expression analysis (e.g. a treatment, a tissue time, a disease) required: - sample - condition snakemake-6.15.1/tests/test_validate/samples.tsv000066400000000000000000000000411417574166400217510ustar00rootroot00000000000000sample condition A tumor B blood snakemake-6.15.1/tests/test_wildcard_count_ambiguity/000077500000000000000000000000001417574166400230365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_count_ambiguity/Snakefile000066400000000000000000000002401417574166400246560ustar00rootroot00000000000000 rule all: input: "test.out" rule a: output: "{prefix}.out" shell: "touch {output}" rule b: output: "test.out" shell: "touch {output}" snakemake-6.15.1/tests/test_wildcard_count_ambiguity/expected-results/000077500000000000000000000000001417574166400263365ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_count_ambiguity/expected-results/test.out000066400000000000000000000000001417574166400300340ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_keyword/000077500000000000000000000000001417574166400213205ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_keyword/Snakefile000066400000000000000000000021611417574166400231440ustar00rootroot00000000000000shell.executable("bash") rule all: input: "stringbar.txt", "localbar.txt", "globalbar.txt", "ambig.u.ous.log" ##: NB: setting output: "{foo}.in" only works for globalwildcard rule ## since constraints will be set to "globalbar" rule infile: output: temp("{foo,(globalbar|localbar|stringbar)}.in") shell: "touch {output}" rule stringwildcard: input: "{foo}.in" output: "{foo,stringbar}.txt" log: "{foo}.log" shell: "echo {input} {output} {log} > {output}; touch {log}" rule localwildcard: input: "{foo}.in" output: "{foo}.txt" wildcard_constraints: foo="localbar" log: "{foo}.log" shell: "echo {input} {output} {log} > {output}; touch {log}" rule globalwildcard: input: "{foo}.in" output: "{foo}.txt" log: "{foo}.log" shell: "echo {input} {output} {log} > {output}; touch {log}" rule ambigouslog: output: "{foo}.{bar}.txt" log: "{foo}.{bar}.log" wildcard_constraints: foo="ambig", bar=".+" shell: "echo a={wildcards.foo} b={wildcards.bar} > {output}; touch {log}" wildcard_constraints: foo='globalbar', bar='out/{SM,[a-z]+}_{PU,[0-9]+}' snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/000077500000000000000000000000001417574166400246205ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/ambig.u.ous.txt000066400000000000000000000000201417574166400275000ustar00rootroot00000000000000a=ambig b=u.ous snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/globalbar.log000066400000000000000000000000001417574166400272360ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/globalbar.txt000066400000000000000000000000511417574166400273020ustar00rootroot00000000000000globalbar.in globalbar.txt globalbar.log snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/localbar.log000066400000000000000000000000001417574166400270700ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/localbar.txt000066400000000000000000000000461417574166400271400ustar00rootroot00000000000000localbar.in localbar.txt localbar.log snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/stringbar.log000066400000000000000000000000001417574166400273040ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wildcard_keyword/expected-results/stringbar.txt000066400000000000000000000000511417574166400273500ustar00rootroot00000000000000stringbar.in stringbar.txt stringbar.log snakemake-6.15.1/tests/test_wrapper/000077500000000000000000000000001417574166400174435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wrapper/Snakefile000066400000000000000000000002021417574166400212610ustar00rootroot00000000000000rule compress_vcf: input: "test.vcf" output: "test.vcf.gz" wrapper: "0.42.0/bio/vcf/compress" snakemake-6.15.1/tests/test_wrapper/expected-results/000077500000000000000000000000001417574166400227435ustar00rootroot00000000000000snakemake-6.15.1/tests/test_wrapper/expected-results/test.vcf.gz000066400000000000000000000006671417574166400250520ustar00rootroot00000000000000‹ÿBCš•ÐMOƒ@àóôW4íµÁÎò¡¥bBÚ.’ôË‚Þ«Ù" …°ÆÄï.\0%öÂa†yfçaÄIzÜçÖËŒž5{ỦëÞ[ŽÖÇW–Z8ò¿NÌòò4ŒƒÑœeoixÊÃ$¶¯D¬/†úYÑ<ÈȺ¸qΖ^VÂò‡&CÛ ’}~9ˆvAÐÍneûâøÿ8Èaq’óf{˜^G9'"KWeRQr*²uE0•TG3{ÜmV°ÝxàÎa· `/}xz¶—@Ý¥¿ØHÊ)HbùgÒà ¨ˆ8Q'fHT l°P`k{xh•7ãtN)ÿ(cp|“ÇgòÃA¹As™ÄAšÈ+Y†&©l•è:·9­ƒÎìM„M„Mš6~Ë6©m"Û“N[¶*lµi¹¤Ô¢*‰é5!jBÔZbãµZe+²|×)ëBÖ…¬·sPLvfqÄâ ¯à3« ¿n»ßnˆ †Ø`´6)ñ+ª“ô~ñóôW‹ÿBCsnakemake-6.15.1/tests/test_wrapper/test.vcf000066400000000000000000000021271417574166400211240ustar00rootroot00000000000000##fileformat=VCFv4.1 ##INFO= ##INFO= ##INFO= ##FORMAT= ##FORMAT= ##FORMAT= ##FORMAT= #CHROM POS ID REF ALT QUAL FILTER INFO FORMAT one two 19 3111939 rs1234 A AG . PASS S1=string1;N1=1;F1=1.0 GT:FS1:FN1 ./1:LongString1:1 1/1:ss1:2 19 3113255 rs2345 G GC . PASS S1=string2;N1=2;F1=2.0 GT:FS1:FN1 1|1:LongString2:1 1/1:ss2:2 19 3113259 rs2345 G GC . PASS S1=string3;N1=3;F1=3.0 GT:FS1:FN1 0/1:.:1 1/1:ss3:2 19 3113262 rs2345 G GC . PASS S1=string4;N1=4;F1=4.0 GT:FS1:FN1 0|1:LongString4:1 1/1:.:2 19 3113268 rs2345 G GC . PASS S1=string5;N1=5;F1=5.0 GT:FS1:FN1 1|.:evenlength:1 1/1:veenlength:2 19 3113272 rs2345 G GC . PASS S1=string6;N1=6;F1=6.0 GT:FS1:FN1 1/1:ss6:1 1/1:longstring6:2 snakemake-6.15.1/tests/test_xrootd/000077500000000000000000000000001417574166400173025ustar00rootroot00000000000000snakemake-6.15.1/tests/test_xrootd/Snakefile000066400000000000000000000016511417574166400211310ustar00rootroot00000000000000from snakemake.remote.XRootD import RemoteProvider as XRootDRemoteProvider XRootD = XRootDRemoteProvider(stay_on_remote=True) remote_path = 'root://eospublic.cern.ch//eos/opendata/lhcb/MasterclassDatasets/' my_files, = XRootD.glob_wildcards(remote_path+'D0lifetime/2014/mclasseventv2_D0_{n}.root') rule all: input: expand('access_remotely/mclasseventv2_D0_{n}.root', n=my_files), expand('access_locally/mclasseventv2_D0_{n}.root', n=my_files) rule access_remotely: input: XRootD.remote(remote_path+'D0lifetime/2014/mclasseventv2_D0_{n}.root') output: 'access_remotely/mclasseventv2_D0_{n}.root' shell: 'xrdcp {input[0]} {output[0]}' rule access_locally: input: XRootD.remote(remote_path+'D0lifetime/2014/mclasseventv2_D0_{n}.root', stay_on_remote=False) output: 'access_locally/mclasseventv2_D0_{n}.root' shell: 'cp {input[0]} {output[0]}' snakemake-6.15.1/tests/test_yaml_config/000077500000000000000000000000001417574166400202525ustar00rootroot00000000000000snakemake-6.15.1/tests/test_yaml_config/Snakefile000066400000000000000000000001531417574166400220750ustar00rootroot00000000000000 configfile: "test.yaml" rule: output: config["outfile"] shell: "touch {output}" snakemake-6.15.1/tests/test_yaml_config/expected-results/000077500000000000000000000000001417574166400235525ustar00rootroot00000000000000snakemake-6.15.1/tests/test_yaml_config/expected-results/test.out000066400000000000000000000000001417574166400252500ustar00rootroot00000000000000snakemake-6.15.1/tests/test_yaml_config/test.yaml000066400000000000000000000000251417574166400221120ustar00rootroot00000000000000--- outfile: test.outsnakemake-6.15.1/tests/testapi.py000066400000000000000000000030261417574166400167500ustar00rootroot00000000000000""" Tests for Snakemake’s API """ from snakemake import snakemake import asyncio import sys import tempfile import os.path from textwrap import dedent def test_keep_logger(): with tempfile.TemporaryDirectory() as tmpdir: path = os.path.join(tmpdir, "Snakefile") with open(path, "w") as f: print("rule:\n output: 'result.txt'\n shell: 'touch {output}'", file=f) snakemake(path, workdir=tmpdir, keep_logger=True) def test_run_script_directive(): with tempfile.TemporaryDirectory() as tmpdir: path = os.path.join(tmpdir, "Snakefile") with open(path, "w") as f: print( dedent( """ rule: output: 'result.txt' run: with open(output[0], 'w') as f: print("hello", file=f) """ ), file=f, ) snakemake(path, workdir=tmpdir) def test_run_script_directive_async(): """Tests :func`snakemake.common.async_run`. The test ensures the ability to execute Snakemake API even if an asyncio event loop is already running. """ import tracemalloc from snakemake.common import async_run tracemalloc.start() async def dummy_task(): await asyncio.sleep(0.00001) async def main(): async_run(dummy_task()) test_run_script_directive() if sys.version_info < (3, 7): async_run(main()) else: asyncio.run(main()) snakemake-6.15.1/tests/tests.py000066400000000000000000001003231417574166400164370ustar00rootroot00000000000000__authors__ = ["Tobias Marschall", "Marcel Martin", "Johannes Köster"] __copyright__ = "Copyright 2021, Johannes Köster" __email__ = "johannes.koester@uni-due.de" __license__ = "MIT" import os import sys import uuid import subprocess as sp from pathlib import Path sys.path.insert(0, os.path.dirname(__file__)) from .common import * from .conftest import skip_on_windows, only_on_windows, ON_WINDOWS, needs_strace def test_list_untracked(): run(dpath("test_list_untracked")) xfail_permissionerror_on_win = ( pytest.mark.xfail(raises=PermissionError) if ON_WINDOWS else lambda x: x ) def test_delete_all_output(): run(dpath("test_delete_all_output")) def test_github_issue_14(): """Add cleanup_scripts argument to allow the user to keep scripts""" # Return temporary directory for inspection - we should keep scripts here tmpdir = run(dpath("test_github_issue_14"), cleanup=False, cleanup_scripts=False) assert os.listdir(os.path.join(tmpdir, ".snakemake", "scripts")) shutil.rmtree(tmpdir) # And not here tmpdir = run(dpath("test_github_issue_14"), cleanup=False) assert not os.listdir(os.path.join(tmpdir, ".snakemake", "scripts")) shutil.rmtree(tmpdir) def test_issue956(): run(dpath("test_issue956")) @skip_on_windows def test01(): run(dpath("test01")) def test02(): run(dpath("test02")) def test03(): run(dpath("test03"), targets=["test.out"]) def test04(): run(dpath("test04"), targets=["test.out"]) def test05(): run(dpath("test05")) def test06(): run(dpath("test06"), targets=["test.bla.out"]) def test07(): run(dpath("test07"), targets=["test.out", "test2.out"]) def test08(): run(dpath("test08"), targets=["test.out", "test2.out"]) def test09(): run(dpath("test09"), shouldfail=True) def test10(): run(dpath("test10")) def test11(): run(dpath("test11")) def test12(): run(dpath("test12")) def test13(): run(dpath("test13")) @skip_on_windows def test14(): os.environ["TESTVAR"] = "test" run(dpath("test14"), snakefile="Snakefile.nonstandard", cluster="./qsub") @skip_on_windows def test_cluster_statusscript(): os.environ["TESTVAR"] = "test" run( dpath("test_cluster_statusscript"), snakefile="Snakefile.nonstandard", cluster="./qsub", cluster_status="./status.sh", ) def test15(): run(dpath("test15")) def test_glpk_solver(): run(dpath("test_solver"), scheduler_ilp_solver="GLPK_CMD") @skip_on_windows def test_coin_solver(): run(dpath("test_solver"), scheduler_ilp_solver="COIN_CMD") def test_directory(): run( dpath("test_directory"), targets=[ "downstream", "symlinked_input", "child_to_input", "not_child_to_other", ], ) run(dpath("test_directory"), targets=["file_expecting_dir"], shouldfail=True) run(dpath("test_directory"), targets=["dir_expecting_file"], shouldfail=True) run(dpath("test_directory"), targets=["child_to_other"], shouldfail=True) @skip_on_windows def test_directory2(): run( dpath("test_directory"), targets=[ "downstream", "symlinked_input", "child_to_input", "some/dir-child", "some/shadow", ], ) def test_ancient(): run(dpath("test_ancient"), targets=["D", "C", "old_file"]) def test_report(): run( dpath("test_report"), report="report.html", report_stylesheet="custom-stylesheet.css", check_md5=False, ) def test_report_zip(): run(dpath("test_report_zip"), report="report.zip", check_md5=False) def test_report_dir(): run(dpath("test_report_dir"), report="report.zip", check_md5=False) def test_dynamic(): run(dpath("test_dynamic")) def test_params(): run(dpath("test_params")) def test_same_wildcard(): run(dpath("test_same_wildcard")) def test_conditional(): run( dpath("test_conditional"), targets="test.out test.0.out test.1.out test.2.out".split(), ) def test_unpack_dict(): run(dpath("test_unpack_dict")) def test_unpack_list(): run(dpath("test_unpack_list")) def test_shell(): run(dpath("test_shell")) @skip_on_windows def test_temp(): run(dpath("test_temp"), cluster="./qsub", targets="test.realigned.bam".split()) def test_keyword_list(): run(dpath("test_keyword_list")) # Fails on WIN because some snakemake doesn't release the logfile # which cause a PermissionError when the test setup tries to # remove the temporary files @skip_on_windows def test_subworkflows(): run(dpath("test_subworkflows"), subpath=dpath("test02")) def test_globwildcards(): run(dpath("test_globwildcards")) def test_local_import(): run(dpath("test_local_import")) def test_ruledeps(): run(dpath("test_ruledeps")) def test_persistent_dict(): try: import pytools run(dpath("test_persistent_dict")) except ImportError: pass @connected def test_url_include(): run(dpath("test_url_include")) def test_touch(): run(dpath("test_touch")) def test_config(): run(dpath("test_config")) def test_update_config(): run(dpath("test_update_config")) def test_config_merging(): run( dpath("test_config_merging"), shellcmd='snakemake -j 1 --configfile config_cmdline_01.yaml config_cmdline_02.yaml --config "block={bowser: cmdline_bowser}" "block={toad: cmdline_toad}"', ) def test_wildcard_keyword(): run(dpath("test_wildcard_keyword")) @skip_on_windows def test_benchmark(): run(dpath("test_benchmark"), check_md5=False) def test_temp_expand(): run(dpath("test_temp_expand")) def test_wildcard_count_ambiguity(): run(dpath("test_wildcard_count_ambiguity")) @skip_on_windows def test_srcdir(): run(dpath("test_srcdir")) def test_multiple_includes(): run(dpath("test_multiple_includes")) def test_name_override(): run(dpath("test_name_override")) def test_yaml_config(): run(dpath("test_yaml_config")) @skip_on_windows @pytest.mark.xfail( reason="moto currently fails with \"'_patch' object has no attribute 'is_local'\"" ) def test_remote(): run(dpath("test_remote"), cores=1) @skip_on_windows def test_cluster_sync(): os.environ["TESTVAR"] = "test" run(dpath("test14"), snakefile="Snakefile.nonstandard", cluster_sync="./qsub") @pytest.mark.skip(reason="This does not work reliably in CircleCI.") def test_symlink_temp(): run(dpath("test_symlink_temp"), shouldfail=True) def test_empty_include(): run(dpath("test_empty_include")) @skip_on_windows def test_script(): run(dpath("test_script"), use_conda=True, check_md5=False) def test_script_python(): run(dpath("test_script_py")) @skip_on_windows # Test relies on perl def test_shadow(): run(dpath("test_shadow")) @skip_on_windows def test_shadow_copy(): run(dpath("test_shadow_copy")) @skip_on_windows # Symbolic link privileges needed to work def test_shadow_prefix(): run(dpath("test_shadow_prefix"), shadow_prefix="shadowdir") @skip_on_windows def test_shadow_prefix_qsub(): run(dpath("test_shadow_prefix"), shadow_prefix="shadowdir", cluster="./qsub") @skip_on_windows def test_shadowed_log(): run(dpath("test_shadowed_log")) def test_until(): run( dpath("test_until"), until=[ "leveltwo_first", # rule name "leveltwo_second.txt", # file name "second_wildcard", ], ) # wildcard rule def test_omitfrom(): run( dpath("test_omitfrom"), omit_from=[ "leveltwo_first", # rule name "leveltwo_second.txt", # file name "second_wildcard", ], ) # wildcard rule def test_nonstr_params(): run(dpath("test_nonstr_params")) def test_delete_output(): run(dpath("test_delete_output"), cores=1) def test_input_generator(): run(dpath("test_input_generator")) def test_symlink_time_handling(): # See Snakefile for notes on why this fails on some systems if os.utime in os.supports_follow_symlinks: run(dpath("test_symlink_time_handling")) @skip_on_windows def test_protected_symlink_output(): run(dpath("test_protected_symlink_output")) def test_issue328(): try: import pytools run(dpath("test_issue328"), forcerun=["split"]) except ImportError: # skip test if import fails pass def test_conda(): run(dpath("test_conda"), use_conda=True) def test_conda_list_envs(): run(dpath("test_conda"), list_conda_envs=True, check_results=False) def test_upstream_conda(): run(dpath("test_conda"), use_conda=True, conda_frontend="conda") @skip_on_windows def test_deploy_script(): run(dpath("test_deploy_script"), use_conda=True) @skip_on_windows def test_deploy_hashing(): tmpdir = run(dpath("test_deploy_hashing"), use_conda=True, cleanup=False) assert len(next(os.walk(os.path.join(tmpdir, ".snakemake/conda")))[1]) == 2 def test_conda_custom_prefix(): run( dpath("test_conda_custom_prefix"), use_conda=True, conda_prefix="custom", set_pythonpath=False, ) @only_on_windows def test_conda_cmd_exe(): # Tests the conda environment activation when cmd.exe # is used as the shell run(dpath("test_conda_cmd_exe"), use_conda=True) @skip_on_windows # Conda support is partly broken on Win def test_wrapper(): run(dpath("test_wrapper"), use_conda=True) def test_get_log_none(): run(dpath("test_get_log_none")) def test_get_log_both(): run(dpath("test_get_log_both")) def test_get_log_stderr(): run(dpath("test_get_log_stderr")) def test_get_log_stdout(): run(dpath("test_get_log_stdout")) def test_get_log_complex(): run(dpath("test_get_log_complex")) def test_spaces_in_fnames(): run( dpath("test_spaces_in_fnames"), # cluster="./qsub", targets=["test bam file realigned.bam"], printshellcmds=True, ) # TODO deactivate because of problems with moto and boto3. # def test_static_remote(): # import importlib # try: # importlib.reload(boto3) # importlib.reload(moto) # # only run the remote file test if the dependencies # # are installed, otherwise do nothing # run(dpath("test_static_remote"), cores=1) # except ImportError: # pass @connected def test_remote_ncbi_simple(): try: import Bio # only run the remote file test if the dependencies # are installed, otherwise do nothing run(dpath("test_remote_ncbi_simple")) except ImportError: pass @connected def test_remote_ncbi(): try: import Bio # only run the remote file test if the dependencies # are installed, otherwise do nothing run(dpath("test_remote_ncbi")) except ImportError: pass @ci @skip_on_windows def test_remote_irods(): run(dpath("test_remote_irods")) def test_deferred_func_eval(): run(dpath("test_deferred_func_eval")) def test_format_params(): run(dpath("test_format_params"), check_md5=True) def test_rule_defined_in_for_loop(): # issue 257 run(dpath("test_rule_defined_in_for_loop")) def test_issue381(): run(dpath("test_issue381")) def test_format_wildcards(): run(dpath("test_format_wildcards")) def test_with_parentheses(): run(dpath("test (with parenthese's)")) def test_dup_out_patterns(): """Duplicate output patterns should emit an error Duplicate output patterns can be detected on the rule level """ run(dpath("test_dup_out_patterns"), shouldfail=True) @skip_on_windows def test_restartable_job_cmd_exit_1_no_restart(): """Test the restartable job feature on ``exit 1`` The shell snippet in the Snakemake file will fail the first time and succeed the second time. """ run( dpath("test_restartable_job_cmd_exit_1"), cluster="./qsub", restart_times=0, shouldfail=True, ) @skip_on_windows def test_restartable_job_cmd_exit_1_one_restart(): # Restarting once is enough run( dpath("test_restartable_job_cmd_exit_1"), cluster="./qsub", restart_times=1, printshellcmds=True, ) @skip_on_windows def test_restartable_job_qsub_exit_1(): """Test the restartable job feature when qsub fails The qsub in the subdirectory will fail the first time and succeed the second time. """ # Even two consecutive times should fail as files are cleared run( dpath("test_restartable_job_qsub_exit_1"), cluster="./qsub", restart_times=0, shouldfail=True, ) run( dpath("test_restartable_job_qsub_exit_1"), cluster="./qsub", restart_times=0, shouldfail=True, ) # Restarting once is enough run( dpath("test_restartable_job_qsub_exit_1"), cluster="./qsub", restart_times=1, shouldfail=False, ) def test_threads(): run(dpath("test_threads"), cores=20) def test_threads0(): run(dpath("test_threads0")) def test_dynamic_temp(): run(dpath("test_dynamic_temp")) # TODO this currently hangs. Has to be investigated (issue #660). # def test_ftp_immediate_close(): # try: # import ftputil # # # only run the remote file test if the dependencies # # are installed, otherwise do nothing # run(dpath("test_ftp_immediate_close")) # except ImportError: # pass def test_issue260(): run(dpath("test_issue260")) @skip_on_windows @not_ci def test_default_remote(): run( dpath("test_default_remote"), cores=1, default_remote_provider="S3Mocked", default_remote_prefix="test-remote-bucket", ) def test_run_namedlist(): run(dpath("test_run_namedlist")) @connected @not_ci @skip_on_windows def test_remote_gs(): run(dpath("test_remote_gs")) @pytest.mark.skip(reason="Need to choose how to provide billable project") @connected @not_ci def test_gs_requester_pays( requesting_project=None, requesting_url="gcp-public-data-landsat/LC08/01/001/003/LC08_L1GT_001003_20170430_20170501_01_RT/LC08_L1GT_001003_20170430_20170501_01_RT_MTL.txt", ): """Tests pull-request 79 / issue 96 for billable user projects on GS If requesting_project None, behaves as test_remote_gs(). Parameters ---------- requesting_project: Optional[str] User project to bill for download. None will not provide the project for requester-pays as is the usual default requesting_url: str URL of the bucket to download. The default will match the expected output but is a bucket that doesn't require requester pays. """ # create temporary config file with tempfile.NamedTemporaryFile(suffix=".yaml") as handle: # specify project and url for download if requesting_project is None: handle.write(b"project: null\n") else: handle.write('project: "{}"\n'.format(requesting_project).encode()) handle.write('url: "{}"\n'.format(requesting_url).encode()) # make sure we can read them handle.flush() # run the pipeline run(dpath("test_gs_requester_pays"), configfiles=[handle.name], forceall=True) @pytest.mark.skip(reason="We need free azure access to test this in CircleCI.") @connected @ci @skip_on_windows def test_remote_azure(): run(dpath("test_remote_azure")) def test_remote_log(): run(dpath("test_remote_log"), shouldfail=True) @connected @pytest.mark.xfail def test_remote_http(): run(dpath("test_remote_http")) @skip_on_windows @connected @pytest.mark.xfail def test_remote_http_cluster(): run(dpath("test_remote_http"), cluster=os.path.abspath(dpath("test14/qsub"))) def test_profile(): run(dpath("test_profile")) @skip_on_windows @connected def test_singularity(): run(dpath("test_singularity"), use_singularity=True) @skip_on_windows def test_singularity_invalid(): run( dpath("test_singularity"), targets=["invalid.txt"], use_singularity=True, shouldfail=True, ) @skip_on_windows def test_singularity_module_invalid(): run( dpath("test_singularity_module"), targets=["invalid.txt"], use_singularity=True, shouldfail=True, ) @skip_on_windows @connected def test_singularity_conda(): run( dpath("test_singularity_conda"), use_singularity=True, use_conda=True, conda_frontend="conda", ) @skip_on_windows @connected def test_singularity_none(): run( dpath("test_singularity_none"), use_singularity=True, ) @skip_on_windows @connected def test_singularity_global(): run( dpath("test_singularity_global"), use_singularity=True, ) def test_issue612(): run(dpath("test_issue612"), dryrun=True) def test_bash(): run(dpath("test_bash")) def test_inoutput_is_path(): run(dpath("test_inoutput_is_path")) def test_archive(): run(dpath("test_archive"), archive="workflow-archive.tar.gz") def test_log_input(): run(dpath("test_log_input")) @skip_on_windows @connected def test_cwl(): run(dpath("test_cwl")) @skip_on_windows @connected def test_cwl_singularity(): run(dpath("test_cwl"), use_singularity=True) def test_issue805(): run(dpath("test_issue805"), shouldfail=True) def test_issue823_1(): run(dpath("test_issue823_1")) @skip_on_windows def test_issue823_2(): run(dpath("test_issue823_2")) @skip_on_windows def test_pathlib(): run(dpath("test_pathlib")) def test_pathlib_missing_file(): run(dpath("test_pathlib_missing_file"), shouldfail=True) @skip_on_windows def test_group_jobs(): run(dpath("test_group_jobs"), cluster="./qsub") @skip_on_windows def test_multicomp_group_jobs(): run( dpath("test_multicomp_group_jobs"), cluster="./qsub", overwrite_groups={"a": "group0", "b": "group0"}, group_components={"group0": 2}, ) @skip_on_windows def test_group_job_fail(): run(dpath("test_group_job_fail"), cluster="./qsub", shouldfail=True) @skip_on_windows # Not supported, but could maybe be implemented. https://stackoverflow.com/questions/48542644/python-and-windows-named-pipes def test_pipes(): run(dpath("test_pipes")) @skip_on_windows def test_pipes_multiple(): # see github issue #975 run(dpath("test_pipes_multiple"), cores=5) def test_pipes_fail(): run(dpath("test_pipes_fail"), shouldfail=True) def test_validate(): run(dpath("test_validate")) def test_validate_fail(): run( dpath("test_validate"), configfiles=[dpath("test_validate/config.fail.yaml")], shouldfail=True, ) def test_issue854(): # output and benchmark have inconsistent wildcards # this should fail when parsing run(dpath("test_issue854"), shouldfail=True) @skip_on_windows def test_issue850(): run(dpath("test_issue850"), cluster="./qsub") @skip_on_windows def test_issue860(): run(dpath("test_issue860"), cluster="./qsub", targets=["done"]) def test_issue894(): run(dpath("test_issue894")) def test_issue584(): run(dpath("test_issue584")) def test_issue912(): run(dpath("test_issue912")) @skip_on_windows def test_job_properties(): run(dpath("test_job_properties"), cluster="./qsub.py") def test_issue916(): run(dpath("test_issue916")) @skip_on_windows def test_issue930(): run(dpath("test_issue930"), cluster="./qsub") @skip_on_windows def test_issue635(): run(dpath("test_issue635"), use_conda=True, check_md5=False) # TODO remove skip @pytest.mark.skip( reason="Temporarily disable until the stable container image becomes available again." ) @skip_on_windows def test_convert_to_cwl(): workdir = dpath("test_convert_to_cwl") # run(workdir, export_cwl=os.path.join(workdir, "workflow.cwl")) shell( "cd {workdir}; PYTHONPATH={src} python -m snakemake --export-cwl workflow.cwl", src=os.getcwd(), ) shell("cd {workdir}; cwltool --singularity workflow.cwl") assert os.path.exists(os.path.join(workdir, "test.out")) def test_issue1037(): run(dpath("test_issue1037"), dryrun=True, cluster="qsub", targets=["Foo_A.done"]) def test_issue1046(): run(dpath("test_issue1046")) def test_checkpoints(): run(dpath("test_checkpoints")) def test_checkpoints_dir(): run(dpath("test_checkpoints_dir")) def test_issue1092(): run(dpath("test_issue1092")) @skip_on_windows def test_issue1093(): run(dpath("test_issue1093"), use_conda=True) def test_issue958(): run(dpath("test_issue958"), cluster="dummy", dryrun=True) def test_issue471(): run(dpath("test_issue471")) def test_issue1085(): run(dpath("test_issue1085"), shouldfail=True) @skip_on_windows def test_issue1083(): run(dpath("test_issue1083"), use_singularity=True) @skip_on_windows # Fails with "The flag 'pipe' used in rule two is only valid for outputs def test_pipes2(): run(dpath("test_pipes2")) def test_expand_flag(): run(dpath("test_expand_flag"), shouldfail=True) @skip_on_windows def test_default_resources(): from snakemake.resources import DefaultResources run( dpath("test_default_resources"), # use fractional defaults here to test whether they are correctly rounded default_resources=DefaultResources( ["mem_mb=max(2*input.size, 1000.1)", "disk_mb=max(2*input.size, 1000.2)"] ), ) @skip_on_windows # TODO fix the windows case: it somehow does not consistently modify all temp env vars as desired def test_tmpdir(): # artificially set the tmpdir to an expected value run(dpath("test_tmpdir"), overwrite_resources={"a": {"tmpdir": "/tmp"}}) def test_tmpdir_default(): # Do not check the content (OS and setup depdendent), # just check whether everything runs smoothly with the default. run(dpath("test_tmpdir"), check_md5=False) def test_issue1284(): run(dpath("test_issue1284")) def test_issue1281(): run(dpath("test_issue1281")) def test_filegraph(): workdir = dpath("test_filegraph") dot_path = os.path.join(workdir, "fg.dot") pdf_path = os.path.join(workdir, "fg.pdf") if ON_WINDOWS: shell.executable("bash") workdir = workdir.replace("\\", "/") dot_path = dot_path.replace("\\", "/") # make sure the calls work shell("cd {workdir};python -m snakemake --filegraph > {dot_path}") # make sure the output can be interpreted by dot with open(dot_path, "rb") as dot_file, open(pdf_path, "wb") as pdf_file: pdf_file.write( subprocess.check_output(["dot", "-Tpdf"], stdin=dot_file, cwd=workdir) ) # make sure the generated pdf file is not empty assert os.stat(pdf_path).st_size > 0 def test_batch(): from snakemake.dag import Batch run(dpath("test_batch"), batch=Batch("aggregate", 1, 2)) def test_batch_final(): from snakemake.dag import Batch run(dpath("test_batch_final"), batch=Batch("aggregate", 1, 1)) def test_batch_fail(): from snakemake.dag import Batch run(dpath("test_batch"), batch=Batch("aggregate", 2, 2), shouldfail=True) def test_github_issue52(): run(dpath("test_github_issue52")) run(dpath("test_github_issue52"), snakefile="other.smk") @skip_on_windows def test_github_issue78(): run(dpath("test_github_issue78"), use_singularity=True) def test_envvars(): run(dpath("test_envvars"), shouldfail=True) os.environ["TEST_ENV_VAR"] = "test" os.environ["TEST_ENV_VAR2"] = "test" run(dpath("test_envvars"), envvars=["TEST_ENV_VAR2"]) def test_github_issue105(): run(dpath("test_github_issue105")) def test_github_issue413(): run(dpath("test_github_issue413"), no_tmpdir=True) @skip_on_windows def test_github_issue627(): run(dpath("test_github_issue627")) def test_github_issue727(): run(dpath("test_github_issue727")) @skip_on_windows def test_github_issue988(): run(dpath("test_github_issue988")) def test_github_issue1062(): # old code failed in dry run run(dpath("test_github_issue1062"), dryrun=True) def test_output_file_cache(): test_path = dpath("test_output_file_cache") os.environ["SNAKEMAKE_OUTPUT_CACHE"] = "cache" run(test_path, cache=["a", "b"]) run(test_path, cache=["invalid_multi"], targets="invalid1.txt", shouldfail=True) @skip_on_windows @pytest.mark.xfail( reason="moto currently fails with \"'_patch' object has no attribute 'is_local'\"" ) def test_output_file_cache_remote(): test_path = dpath("test_output_file_cache_remote") os.environ["SNAKEMAKE_OUTPUT_CACHE"] = "cache" run( test_path, cache=["a", "b", "c"], default_remote_provider="S3Mocked", default_remote_prefix="test-remote-bucket", ) def test_multiext(): run(dpath("test_multiext")) def test_core_dependent_threads(): run(dpath("test_core_dependent_threads")) @skip_on_windows def test_env_modules(): run(dpath("test_env_modules"), use_env_modules=True) @skip_on_windows @connected def test_container(): run(dpath("test_container"), use_singularity=True) def test_linting(): snakemake( snakefile=os.path.join(dpath("test14"), "Snakefile.nonstandard"), lint=True ) @skip_on_windows def test_string_resources(): from snakemake.resources import DefaultResources run( dpath("test_string_resources"), default_resources=DefaultResources(["gpu_model='nvidia-tesla-1000'"]), cluster="./qsub.py", ) def test_jupyter_notebook(): run(dpath("test_jupyter_notebook"), use_conda=True) def test_jupyter_notebook_draft(): from snakemake.notebook import EditMode run( dpath("test_jupyter_notebook_draft"), use_conda=True, edit_notebook=EditMode(draft_only=True), targets=["results/result_intermediate.txt"], check_md5=False, ) def test_github_issue456(): run(dpath("test_github_issue456")) def test_scatter_gather(): run(dpath("test_scatter_gather"), overwrite_scatter={"split": 2}) @skip_on_windows def test_github_issue640(): run( dpath("test_github_issue640"), targets=["Output/FileWithRights"], dryrun=True, cleanup=False, ) @skip_on_windows # TODO check whether this might be enabled later def test_generate_unit_tests(): with tempfile.NamedTemporaryFile() as tmpfile: os.environ["UNIT_TEST_TMPFILE"] = tmpfile.name tmpdir = run( dpath("test_generate_unit_tests"), generate_unit_tests=".tests/unit", check_md5=False, cleanup=False, ) sp.check_call(["pytest", ".tests", "-vs"], cwd=tmpdir) @skip_on_windows def test_metadata_migration(): outpath = Path( "tests/test_metadata_migration/some/veryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryverylong" ) os.makedirs(outpath, exist_ok=True) metapath = Path( "tests/test_metadata_migration/.snakemake/metadata/@c29tZS92ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5L3Zlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5L3Zlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcn/@l2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeS92ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnkvdmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnkvdmVyeXZlcnl2ZXJ5dmVy" ) os.makedirs(metapath, exist_ok=True) exppath = Path( "tests/test_metadata_migration/expected-results/some/veryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryvery/veryveryveryveryveryveryveryveryveryveryveryveryverylong" ) os.makedirs(exppath, exist_ok=True) with open(outpath / "path.txt", "w"): # generate empty file pass # generate artificial incomplete metadata in v1 format for migration with open( metapath / "eXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeXZlcnl2ZXJ5dmVyeWxvbmcvcGF0aC50eHQ=", "w", ) as meta: print('{"incomplete": true, "external_jobid": null}', file=meta) with open(exppath / "path.txt", "w") as out: print("updated", file=out) # run workflow, incomplete v1 metadata should be migrated and trigger rerun of the rule, # which will save different data than the output contained in the git repo. run(dpath("test_metadata_migration"), force_incomplete=True) def test_paramspace(): run(dpath("test_paramspace")) def test_github_issue806(): run(dpath("test_github_issue806"), config=dict(src_lang="es", trg_lang="en")) @skip_on_windows def test_containerized(): run(dpath("test_containerized"), use_conda=True, use_singularity=True) @skip_on_windows def test_containerize(): run(dpath("test_conda"), containerize=True, check_results=False) def test_long_shell(): run(dpath("test_long_shell")) def test_modules_all(): run(dpath("test_modules_all"), targets=["a"]) @skip_on_windows def test_modules_prefix(): run(dpath("test_modules_prefix"), targets=["a"]) def test_modules_specific(): run(dpath("test_modules_specific"), targets=["test_a"]) @skip_on_windows # works in principle but the test framework modifies the target path separator def test_modules_meta_wrapper(): run(dpath("test_modules_meta_wrapper"), targets=["mapped/a.bam.bai"], dryrun=True) def test_use_rule_same_module(): run(dpath("test_use_rule_same_module"), targets=["test.out", "test2.out"]) def test_module_complex(): run(dpath("test_module_complex"), dryrun=True) def test_module_complex2(): run(dpath("test_module_complex2"), dryrun=True) def test_module_with_script(): run(dpath("test_module_with_script")) def test_module_worfklow_namespacing(): run(dpath("test_module_workflow_snakefile_usage")) @skip_on_windows # No conda-forge version of pygraphviz for windows def test_module_report(): run( dpath("test_module_report"), report="report.html", report_stylesheet="custom-stylesheet.css", check_md5=False, ) def test_handover(): run(dpath("test_handover"), resources={"mem_mb": 20}) @skip_on_windows # test shell command not properly working def test_source_path(): run(dpath("test_source_path"), snakefile="workflow/Snakefile") @only_on_windows def test_filesep_windows_targets(): run( dpath("test_filesep_windows"), targets=["subfolder/test2.out2", "subfolder/test1.out2"], ) @only_on_windows def test_filesep_on_windows(): run(dpath("test_filesep_windows")) def test_set_resources(): run(dpath("test_set_resources"), overwrite_resources={"a": {"a": 1, "b": "foo"}}) def test_github_issue1069(): run( dpath("test_github_issue1069"), shellcmd="snakemake -c1 --resources mem_mb=16423", ) def test_touch_pipeline_with_temp_dir(): # Issue #1028 run(dpath("test_touch_pipeline_with_temp_dir"), forceall=True, touch=True) def test_all_temp(): run(dpath("test_all_temp"), all_temp=True) def test_strict_mode(): run(dpath("test_strict_mode"), shouldfail=True) @needs_strace def test_github_issue1158(): run( dpath("test_github_issue1158"), cluster="./qsub.py", ) def test_converting_path_for_r_script(): run(dpath("test_converting_path_for_r_script"), cores=1) def test_ancient_dag(): run(dpath("test_ancient_dag")) @skip_on_windows def test_checkpoint_allowed_rules(): run(dpath("test_checkpoint_allowed_rules"), targets=["c"], cluster="./qsub") @skip_on_windows def test_modules_ruledeps_inheritance(): run(dpath("test_modules_ruledeps_inheritance")) @skip_on_windows def test_conda_named(): run(dpath("test_conda_named"), use_conda=True) @skip_on_windows def test_default_target(): run(dpath("test_default_target")) def test_cache_multioutput(): run(dpath("test_cache_multioutput"), shouldfail=True) snakemake-6.15.1/versioneer.py000066400000000000000000002060071417574166400163220ustar00rootroot00000000000000 # Version: 0.18 """The Versioneer - like a rocketeer, but for versions. The Versioneer ============== * like a rocketeer, but for versions! * https://github.com/warner/python-versioneer * Brian Warner * License: Public Domain * Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy * [![Latest Version] (https://pypip.in/version/versioneer/badge.svg?style=flat) ](https://pypi.python.org/pypi/versioneer/) * [![Build Status] (https://travis-ci.org/warner/python-versioneer.png?branch=main) ](https://travis-ci.org/warner/python-versioneer) This is a tool for managing a recorded version number in distutils-based python projects. The goal is to remove the tedious and error-prone "update the embedded version string" step from your release process. Making a new release should be as easy as recording a new tag in your version-control system, and maybe making new tarballs. ## Quick Install * `pip install versioneer` to somewhere to your $PATH * add a `[versioneer]` section to your setup.cfg (see below) * run `versioneer install` in your source tree, commit the results ## Version Identifiers Source trees come from a variety of places: * a version-control system checkout (mostly used by developers) * a nightly tarball, produced by build automation * a snapshot tarball, produced by a web-based VCS browser, like github's "tarball from tag" feature * a release tarball, produced by "setup.py sdist", distributed through PyPI Within each source tree, the version identifier (either a string or a number, this tool is format-agnostic) can come from a variety of places: * ask the VCS tool itself, e.g. "git describe" (for checkouts), which knows about recent "tags" and an absolute revision-id * the name of the directory into which the tarball was unpacked * an expanded VCS keyword ($Id$, etc) * a `_version.py` created by some earlier build step For released software, the version identifier is closely related to a VCS tag. Some projects use tag names that include more than just the version string (e.g. "myproject-1.2" instead of just "1.2"), in which case the tool needs to strip the tag prefix to extract the version identifier. For unreleased software (between tags), the version identifier should provide enough information to help developers recreate the same tree, while also giving them an idea of roughly how old the tree is (after version 1.2, before version 1.3). Many VCS systems can report a description that captures this, for example `git describe --tags --dirty --always` reports things like "0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the 0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has uncommitted changes. The version identifier is used for multiple purposes: * to allow the module to self-identify its version: `myproject.__version__` * to choose a name and prefix for a 'setup.py sdist' tarball ## Theory of Operation Versioneer works by adding a special `_version.py` file into your source tree, where your `__init__.py` can import it. This `_version.py` knows how to dynamically ask the VCS tool for version information at import time. `_version.py` also contains `$Revision$` markers, and the installation process marks `_version.py` to have this marker rewritten with a tag name during the `git archive` command. As a result, generated tarballs will contain enough information to get the proper version. To allow `setup.py` to compute a version too, a `versioneer.py` is added to the top level of your source tree, next to `setup.py` and the `setup.cfg` that configures it. This overrides several distutils/setuptools commands to compute the version when invoked, and changes `setup.py build` and `setup.py sdist` to replace `_version.py` with a small static file that contains just the generated version data. ## Installation See [INSTALL.md](./INSTALL.md) for detailed installation instructions. ## Version-String Flavors Code which uses Versioneer can learn about its version string at runtime by importing `_version` from your main `__init__.py` file and running the `get_versions()` function. From the "outside" (e.g. in `setup.py`), you can import the top-level `versioneer.py` and run `get_versions()`. Both functions return a dictionary with different flavors of version information: * `['version']`: A condensed version string, rendered using the selected style. This is the most commonly used value for the project's version string. The default "pep440" style yields strings like `0.11`, `0.11+2.g1076c97`, or `0.11+2.g1076c97.dirty`. See the "Styles" section below for alternative styles. * `['full-revisionid']`: detailed revision identifier. For Git, this is the full SHA1 commit id, e.g. "1076c978a8d3cfc70f408fe5974aa6c092c949ac". * `['date']`: Date and time of the latest `HEAD` commit. For Git, it is the commit date in ISO 8601 format. This will be None if the date is not available. * `['dirty']`: a boolean, True if the tree has uncommitted changes. Note that this is only accurate if run in a VCS checkout, otherwise it is likely to be False or None * `['error']`: if the version string could not be computed, this will be set to a string describing the problem, otherwise it will be None. It may be useful to throw an exception in setup.py if this is set, to avoid e.g. creating tarballs with a version string of "unknown". Some variants are more useful than others. Including `full-revisionid` in a bug report should allow developers to reconstruct the exact code being tested (or indicate the presence of local changes that should be shared with the developers). `version` is suitable for display in an "about" box or a CLI `--version` output: it can be easily compared against release notes and lists of bugs fixed in various releases. The installer adds the following text to your `__init__.py` to place a basic version in `YOURPROJECT.__version__`: from ._version import get_versions __version__ = get_versions()['version'] del get_versions ## Styles The setup.cfg `style=` configuration controls how the VCS information is rendered into a version string. The default style, "pep440", produces a PEP440-compliant string, equal to the un-prefixed tag name for actual releases, and containing an additional "local version" section with more detail for in-between builds. For Git, this is TAG[+DISTANCE.gHEX[.dirty]] , using information from `git describe --tags --dirty --always`. For example "0.11+2.g1076c97.dirty" indicates that the tree is like the "1076c97" commit but has uncommitted changes (".dirty"), and that this commit is two revisions ("+2") beyond the "0.11" tag. For released software (exactly equal to a known tag), the identifier will only contain the stripped tag, e.g. "0.11". Other styles are available. See [details.md](details.md) in the Versioneer source tree for descriptions. ## Debugging Versioneer tries to avoid fatal errors: if something goes wrong, it will tend to return a version of "0+unknown". To investigate the problem, run `setup.py version`, which will run the version-lookup code in a verbose mode, and will display the full contents of `get_versions()` (including the `error` string, which may help identify what went wrong). ## Known Limitations Some situations are known to cause problems for Versioneer. This details the most significant ones. More can be found on Github [issues page](https://github.com/warner/python-versioneer/issues). ### Subprojects Versioneer has limited support for source trees in which `setup.py` is not in the root directory (e.g. `setup.py` and `.git/` are *not* siblings). The are two common reasons why `setup.py` might not be in the root: * Source trees which contain multiple subprojects, such as [Buildbot](https://github.com/buildbot/buildbot), which contains both "master" and "slave" subprojects, each with their own `setup.py`, `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI distributions (and upload multiple independently-installable tarballs). * Source trees whose main purpose is to contain a C library, but which also provide bindings to Python (and perhaps other langauges) in subdirectories. Versioneer will look for `.git` in parent directories, and most operations should get the right version string. However `pip` and `setuptools` have bugs and implementation details which frequently cause `pip install .` from a subproject directory to fail to find a correct version string (so it usually defaults to `0+unknown`). `pip install --editable .` should work correctly. `setup.py install` might work too. Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in some later version. [Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking this issue. The discussion in [PR #61](https://github.com/warner/python-versioneer/pull/61) describes the issue from the Versioneer side in more detail. [pip PR#3176](https://github.com/pypa/pip/pull/3176) and [pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve pip to let Versioneer work correctly. Versioneer-0.16 and earlier only looked for a `.git` directory next to the `setup.cfg`, so subprojects were completely unsupported with those releases. ### Editable installs with setuptools <= 18.5 `setup.py develop` and `pip install --editable .` allow you to install a project into a virtualenv once, then continue editing the source code (and test) without re-installing after every change. "Entry-point scripts" (`setup(entry_points={"console_scripts": ..})`) are a convenient way to specify executable scripts that should be installed along with the python package. These both work as expected when using modern setuptools. When using setuptools-18.5 or earlier, however, certain operations will cause `pkg_resources.DistributionNotFound` errors when running the entrypoint script, which must be resolved by re-installing the package. This happens when the install happens with one version, then the egg_info data is regenerated while a different version is checked out. Many setup.py commands cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into a different virtualenv), so this can be surprising. [Bug #83](https://github.com/warner/python-versioneer/issues/83) describes this one, but upgrading to a newer version of setuptools should probably resolve it. ### Unicode version strings While Versioneer works (and is continually tested) with both Python 2 and Python 3, it is not entirely consistent with bytes-vs-unicode distinctions. Newer releases probably generate unicode version strings on py2. It's not clear that this is wrong, but it may be surprising for applications when then write these strings to a network connection or include them in bytes-oriented APIs like cryptographic checksums. [Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates this question. ## Updating Versioneer To upgrade your project to a new release of Versioneer, do the following: * install the new Versioneer (`pip install -U versioneer` or equivalent) * edit `setup.cfg`, if necessary, to include any new configuration settings indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details. * re-run `versioneer install` in your source tree, to replace `SRC/_version.py` * commit any changed files ## Future Directions This tool is designed to make it easily extended to other version-control systems: all VCS-specific components are in separate directories like src/git/ . The top-level `versioneer.py` script is assembled from these components by running make-versioneer.py . In the future, make-versioneer.py will take a VCS name as an argument, and will construct a version of `versioneer.py` that is specific to the given VCS. It might also take the configuration arguments that are currently provided manually during installation by editing setup.py . Alternatively, it might go the other direction and include code from all supported VCS systems, reducing the number of intermediate scripts. ## License To make Versioneer easier to embed, all its code is dedicated to the public domain. The `_version.py` that it creates is also in the public domain. Specifically, both are released under the Creative Commons "Public Domain Dedication" license (CC0-1.0), as described in https://creativecommons.org/publicdomain/zero/1.0/ . """ from __future__ import print_function try: import configparser except ImportError: import ConfigParser as configparser import errno import json import os import re import subprocess import sys class VersioneerConfig: """Container for Versioneer configuration parameters.""" def get_root(): """Get the project root directory. We require that all commands are run from the project root, i.e. the directory that contains setup.py, setup.cfg, and versioneer.py. """ root = os.path.realpath(os.path.abspath(os.getcwd())) setup_py = os.path.join(root, "setup.py") versioneer_py = os.path.join(root, "versioneer.py") if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)): # allow 'python path/to/setup.py COMMAND' root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0]))) setup_py = os.path.join(root, "setup.py") versioneer_py = os.path.join(root, "versioneer.py") if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)): err = ("Versioneer was unable to run the project root directory. " "Versioneer requires setup.py to be executed from " "its immediate directory (like 'python setup.py COMMAND'), " "or in a way that lets it use sys.argv[0] to find the root " "(like 'python path/to/setup.py COMMAND').") raise VersioneerBadRootError(err) try: # Certain runtime workflows (setup.py install/develop in a setuptools # tree) execute all dependencies in a single python process, so # "versioneer" may be imported multiple times, and python's shared # module-import table will cache the first one. So we can't use # os.path.dirname(__file__), as that will find whichever # versioneer.py was first imported, even in later projects. me = os.path.realpath(os.path.abspath(__file__)) me_dir = os.path.normcase(os.path.splitext(me)[0]) vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0]) if me_dir != vsr_dir: print("Warning: build in %s is using versioneer.py from %s" % (os.path.dirname(me), versioneer_py)) except NameError: pass return root def get_config_from_root(root): """Read the project setup.cfg file to determine Versioneer config.""" # This might raise EnvironmentError (if setup.cfg is missing), or # configparser.NoSectionError (if it lacks a [versioneer] section), or # configparser.NoOptionError (if it lacks "VCS="). See the docstring at # the top of versioneer.py for instructions on writing your setup.cfg . setup_cfg = os.path.join(root, "setup.cfg") parser = configparser.SafeConfigParser() with open(setup_cfg, "r") as f: parser.readfp(f) VCS = parser.get("versioneer", "VCS") # mandatory def get(parser, name): if parser.has_option("versioneer", name): return parser.get("versioneer", name) return None cfg = VersioneerConfig() cfg.VCS = VCS cfg.style = get(parser, "style") or "" cfg.versionfile_source = get(parser, "versionfile_source") cfg.versionfile_build = get(parser, "versionfile_build") cfg.tag_prefix = get(parser, "tag_prefix") if cfg.tag_prefix in ("''", '""'): cfg.tag_prefix = "" cfg.parentdir_prefix = get(parser, "parentdir_prefix") cfg.verbose = get(parser, "verbose") return cfg class NotThisMethod(Exception): """The exception is raised if a method is not valid for the current scenario.""" # these dictionaries contain VCS-specific tools LONG_VERSION_PY = {} HANDLERS = {} def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f return decorate def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None for c in commands: try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git p = subprocess.Popen([c] + args, cwd=cwd, env=env, stdout=subprocess.PIPE, stderr=(subprocess.PIPE if hide_stderr else None)) break except EnvironmentError: e = sys.exc_info()[1] if e.errno == errno.ENOENT: continue if verbose: print("unable to run %s" % dispcmd) print(e) return None, None else: if verbose: print("unable to find command, tried %s" % (commands,)) return None, None stdout = p.communicate()[0].strip() if sys.version_info[0] >= 3: stdout = stdout.decode() if p.returncode != 0: if verbose: print("unable to run %s (error)" % dispcmd) print("stdout was %s" % stdout) return None, p.returncode return stdout, p.returncode LONG_VERSION_PY['git'] = ''' # This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build # directories (produced by setup.py build) will contain a much shorter file # that just contains the computed version number. # This file is released into the public domain. Generated by # versioneer-0.18 (https://github.com/warner/python-versioneer) """Git implementation of _version.py.""" import errno import os import re import subprocess import sys def get_keywords(): """Get the keywords needed to look up the version information.""" # these strings will be replaced by git during git-archive. # setup.py/versioneer.py will grep for the variable names, so they must # each be defined on a line of their own. _version.py will just call # get_keywords(). git_refnames = "%(DOLLAR)sFormat:%%d%(DOLLAR)s" git_full = "%(DOLLAR)sFormat:%%H%(DOLLAR)s" git_date = "%(DOLLAR)sFormat:%%ci%(DOLLAR)s" keywords = {"refnames": git_refnames, "full": git_full, "date": git_date} return keywords class VersioneerConfig: """Container for Versioneer configuration parameters.""" def get_config(): """Create, populate and return the VersioneerConfig() object.""" # these strings are filled in when 'setup.py versioneer' creates # _version.py cfg = VersioneerConfig() cfg.VCS = "git" cfg.style = "%(STYLE)s" cfg.tag_prefix = "%(TAG_PREFIX)s" cfg.parentdir_prefix = "%(PARENTDIR_PREFIX)s" cfg.versionfile_source = "%(VERSIONFILE_SOURCE)s" cfg.verbose = False return cfg class NotThisMethod(Exception): """Exception raised if a method is not valid for the current scenario.""" LONG_VERSION_PY = {} HANDLERS = {} def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f return decorate def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None for c in commands: try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git p = subprocess.Popen([c] + args, cwd=cwd, env=env, stdout=subprocess.PIPE, stderr=(subprocess.PIPE if hide_stderr else None)) break except EnvironmentError: e = sys.exc_info()[1] if e.errno == errno.ENOENT: continue if verbose: print("unable to run %%s" %% dispcmd) print(e) return None, None else: if verbose: print("unable to find command, tried %%s" %% (commands,)) return None, None stdout = p.communicate()[0].strip() if sys.version_info[0] >= 3: stdout = stdout.decode() if p.returncode != 0: if verbose: print("unable to run %%s (error)" %% dispcmd) print("stdout was %%s" %% stdout) return None, p.returncode return stdout, p.returncode def versions_from_parentdir(parentdir_prefix, root, verbose): """Try to determine the version from the parent directory name. Source tarballs conventionally unpack into a directory that includes both the project name and a version string. We will also support searching up two directory levels for an appropriately named parent directory """ rootdirs = [] for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): return {"version": dirname[len(parentdir_prefix):], "full-revisionid": None, "dirty": False, "error": None, "date": None} else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: print("Tried directories %%s but none started with prefix %%s" %% (str(rootdirs), parentdir_prefix)) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") @register_vcs_handler("git", "get_keywords") def git_get_keywords(versionfile_abs): """Extract version information from the given file.""" # the code embedded in _version.py can just fetch the value of these # keywords. When used from setup.py, we don't want to import _version.py, # so we do it with a regexp instead. This function is not used from # _version.py. keywords = {} try: f = open(versionfile_abs, "r") for line in f.readlines(): if line.strip().startswith("git_refnames ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["refnames"] = mo.group(1) if line.strip().startswith("git_full ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["full"] = mo.group(1) if line.strip().startswith("git_date ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["date"] = mo.group(1) f.close() except EnvironmentError: pass return keywords @register_vcs_handler("git", "keywords") def git_versions_from_keywords(keywords, tag_prefix, verbose): """Get version information from git keywords.""" if not keywords: raise NotThisMethod("no keywords at all, weird") date = keywords.get("date") if date is not None: # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601 # -like" string, which we must then edit to make compliant), because # it's been around since git-1.5.3, and it's too difficult to # discover which version we're using, or to work around using an # older one. date = date.strip().replace(" ", "T", 1).replace(" ", "", 1) refnames = keywords["refnames"].strip() if refnames.startswith("$Format"): if verbose: print("keywords are unexpanded, not using") raise NotThisMethod("unexpanded keywords, not a git-archive tarball") refs = set([r.strip() for r in refnames.strip("()").split(",")]) # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %%d # expansion behaves like git log --decorate=short and strips out the # refs/heads/ and refs/tags/ prefixes that would let us distinguish # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". tags = set([r for r in refs if re.search(r'\d', r)]) if verbose: print("discarding '%%s', no digits" %% ",".join(refs - tags)) if verbose: print("likely tags: %%s" %% ",".join(sorted(tags))) for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): r = ref[len(tag_prefix):] if verbose: print("picking %%s" %% r) return {"version": r, "full-revisionid": keywords["full"].strip(), "dirty": False, "error": None, "date": date} # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") return {"version": "0+unknown", "full-revisionid": keywords["full"].strip(), "dirty": False, "error": "no suitable tags", "date": None} @register_vcs_handler("git", "pieces_from_vcs") def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): """Get version from 'git describe' in the root of the source tree. This only gets called if the git-archive 'subst' keywords were *not* expanded, and _version.py hasn't already been rewritten with a short version string, meaning we're inside a checked-out source tree. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %%s not under git control" %% root) raise NotThisMethod("'git rev-parse --git-dir' returned error") # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", "--always", "--long", "--match", "%%s*" %% tag_prefix], cwd=root) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") describe_out = describe_out.strip() full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root) if full_out is None: raise NotThisMethod("'git rev-parse' failed") full_out = full_out.strip() pieces = {} pieces["long"] = full_out pieces["short"] = full_out[:7] # maybe improved later pieces["error"] = None # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty] # TAG might have hyphens. git_describe = describe_out # look for -dirty suffix dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: git_describe = git_describe[:git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) if not mo: # unparseable. Maybe git-describe is misbehaving? pieces["error"] = ("unable to parse git-describe output: '%%s'" %% describe_out) return pieces # tag full_tag = mo.group(1) if not full_tag.startswith(tag_prefix): if verbose: fmt = "tag '%%s' doesn't start with prefix '%%s'" print(fmt %% (full_tag, tag_prefix)) pieces["error"] = ("tag '%%s' doesn't start with prefix '%%s'" %% (full_tag, tag_prefix)) return pieces pieces["closest-tag"] = full_tag[len(tag_prefix):] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) # commit: short hex revision ID pieces["short"] = mo.group(3) else: # HEX: no tags pieces["closest-tag"] = None count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"], cwd=root)[0].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces def plus_or_dot(pieces): """Return a + if we don't already have one, else return a.""" if "+" in pieces.get("closest-tag", ""): return "." return "+" def render_pep440(pieces): """Build up version string, with post-release "local version identifier". Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty Exceptions: 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += plus_or_dot(pieces) rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" else: # exception #1 rendered = "0+untagged.%%d.g%%s" %% (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered def render_pep440_pre(pieces): """TAG[.post.devDISTANCE] -- No -dirty. Exceptions: 1: no tags. 0.post.devDISTANCE """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += ".post.dev%%d" %% pieces["distance"] else: # exception #1 rendered = "0.post.dev%%d" %% pieces["distance"] return rendered def render_pep440_post(pieces): """TAG[.postDISTANCE[.dev0]+gHEX] . The ".dev0" means dirty. Note that .dev0 sorts backwards (a dirty tree will appear "older" than the corresponding clean one), but you shouldn't be releasing software with -dirty anyways. Exceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += plus_or_dot(pieces) rendered += "g%%s" %% pieces["short"] else: # exception #1 rendered = "0.post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += "+g%%s" %% pieces["short"] return rendered def render_pep440_old(pieces): """TAG[.postDISTANCE[.dev0]] . The ".dev0" means dirty. Eexceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" else: # exception #1 rendered = "0.post%%d" %% pieces["distance"] if pieces["dirty"]: rendered += ".dev0" return rendered def render_git_describe(pieces): """TAG[-DISTANCE-gHEX][-dirty]. Like 'git describe --tags --dirty --always'. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render_git_describe_long(pieces): """TAG-DISTANCE-gHEX[-dirty]. Like 'git describe --tags --dirty --always -long'. The distance/hash is unconditional. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: return {"version": "unknown", "full-revisionid": pieces.get("long"), "dirty": None, "error": pieces["error"], "date": None} if not style or style == "default": style = "pep440" # the default if style == "pep440": rendered = render_pep440(pieces) elif style == "pep440-pre": rendered = render_pep440_pre(pieces) elif style == "pep440-post": rendered = render_pep440_post(pieces) elif style == "pep440-old": rendered = render_pep440_old(pieces) elif style == "git-describe": rendered = render_git_describe(pieces) elif style == "git-describe-long": rendered = render_git_describe_long(pieces) else: raise ValueError("unknown style '%%s'" %% style) return {"version": rendered, "full-revisionid": pieces["long"], "dirty": pieces["dirty"], "error": None, "date": pieces.get("date")} def get_versions(): """Get version information or return default if unable to do so.""" # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have # __file__, we can work backwards from there to the root. Some # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which # case we can only use expanded keywords. cfg = get_config() verbose = cfg.verbose try: return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose) except NotThisMethod: pass try: root = os.path.realpath(__file__) # versionfile_source is the relative path from the top of the source # tree (where the .git directory might live) to this file. Invert # this to find the root from __file__. for i in cfg.versionfile_source.split('/'): root = os.path.dirname(root) except NameError: return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to find root of source tree", "date": None} try: pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose) return render(pieces, cfg.style) except NotThisMethod: pass try: if cfg.parentdir_prefix: return versions_from_parentdir(cfg.parentdir_prefix, root, verbose) except NotThisMethod: pass return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to compute version", "date": None} ''' @register_vcs_handler("git", "get_keywords") def git_get_keywords(versionfile_abs): """Extract version information from the given file.""" # the code embedded in _version.py can just fetch the value of these # keywords. When used from setup.py, we don't want to import _version.py, # so we do it with a regexp instead. This function is not used from # _version.py. keywords = {} try: f = open(versionfile_abs, "r") for line in f.readlines(): if line.strip().startswith("git_refnames ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["refnames"] = mo.group(1) if line.strip().startswith("git_full ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["full"] = mo.group(1) if line.strip().startswith("git_date ="): mo = re.search(r'=\s*"(.*)"', line) if mo: keywords["date"] = mo.group(1) f.close() except EnvironmentError: pass return keywords @register_vcs_handler("git", "keywords") def git_versions_from_keywords(keywords, tag_prefix, verbose): """Get version information from git keywords.""" if not keywords: raise NotThisMethod("no keywords at all, weird") date = keywords.get("date") if date is not None: # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant # datestamp. However we prefer "%ci" (which expands to an "ISO-8601 # -like" string, which we must then edit to make compliant), because # it's been around since git-1.5.3, and it's too difficult to # discover which version we're using, or to work around using an # older one. date = date.strip().replace(" ", "T", 1).replace(" ", "", 1) refnames = keywords["refnames"].strip() if refnames.startswith("$Format"): if verbose: print("keywords are unexpanded, not using") raise NotThisMethod("unexpanded keywords, not a git-archive tarball") refs = set([r.strip() for r in refnames.strip("()").split(",")]) # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %d # expansion behaves like git log --decorate=short and strips out the # refs/heads/ and refs/tags/ prefixes that would let us distinguish # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". tags = set([r for r in refs if re.search(r'\d', r)]) if verbose: print("discarding '%s', no digits" % ",".join(refs - tags)) if verbose: print("likely tags: %s" % ",".join(sorted(tags))) for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): r = ref[len(tag_prefix):] if verbose: print("picking %s" % r) return {"version": r, "full-revisionid": keywords["full"].strip(), "dirty": False, "error": None, "date": date} # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") return {"version": "0+unknown", "full-revisionid": keywords["full"].strip(), "dirty": False, "error": "no suitable tags", "date": None} @register_vcs_handler("git", "pieces_from_vcs") def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): """Get version from 'git describe' in the root of the source tree. This only gets called if the git-archive 'subst' keywords were *not* expanded, and _version.py hasn't already been rewritten with a short version string, meaning we're inside a checked out source tree. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %s not under git control" % root) raise NotThisMethod("'git rev-parse --git-dir' returned error") # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", "--always", "--long", "--match", "%s*" % tag_prefix], cwd=root) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") describe_out = describe_out.strip() full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root) if full_out is None: raise NotThisMethod("'git rev-parse' failed") full_out = full_out.strip() pieces = {} pieces["long"] = full_out pieces["short"] = full_out[:7] # maybe improved later pieces["error"] = None # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty] # TAG might have hyphens. git_describe = describe_out # look for -dirty suffix dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: git_describe = git_describe[:git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) if not mo: # unparseable. Maybe git-describe is misbehaving? pieces["error"] = ("unable to parse git-describe output: '%s'" % describe_out) return pieces # tag full_tag = mo.group(1) if not full_tag.startswith(tag_prefix): if verbose: fmt = "tag '%s' doesn't start with prefix '%s'" print(fmt % (full_tag, tag_prefix)) pieces["error"] = ("tag '%s' doesn't start with prefix '%s'" % (full_tag, tag_prefix)) return pieces pieces["closest-tag"] = full_tag[len(tag_prefix):] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) # commit: short hex revision ID pieces["short"] = mo.group(3) else: # HEX: no tags pieces["closest-tag"] = None count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces def do_vcs_install(manifest_in, versionfile_source, ipy): """Git-specific installation logic for Versioneer. For Git, this means creating/changing .gitattributes to mark _version.py for export-subst keyword substitution. """ GITS = ["git"] if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] files = [manifest_in, versionfile_source] if ipy: files.append(ipy) try: me = __file__ if me.endswith(".pyc") or me.endswith(".pyo"): me = os.path.splitext(me)[0] + ".py" versioneer_file = os.path.relpath(me) except NameError: versioneer_file = "versioneer.py" files.append(versioneer_file) present = False try: f = open(".gitattributes", "r") for line in f.readlines(): if line.strip().startswith(versionfile_source): if "export-subst" in line.strip().split()[1:]: present = True f.close() except EnvironmentError: pass if not present: f = open(".gitattributes", "a+") f.write("%s export-subst\n" % versionfile_source) f.close() files.append(".gitattributes") run_command(GITS, ["add", "--"] + files) def versions_from_parentdir(parentdir_prefix, root, verbose): """Try to determine the version from the parent directory name. Source tarballs conventionally unpack into a directory that includes both the project name and a version string. We will also support searching up two directory levels for an appropriately named parent directory """ rootdirs = [] for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): return {"version": dirname[len(parentdir_prefix):], "full-revisionid": None, "dirty": False, "error": None, "date": None} else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: print("Tried directories %s but none started with prefix %s" % (str(rootdirs), parentdir_prefix)) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") SHORT_VERSION_PY = """ # This file was generated by 'versioneer.py' (0.18) from # revision-control system data, or from the parent directory name of an # unpacked source archive. Distribution tarballs contain a pre-generated copy # of this file. import json version_json = ''' %s ''' # END VERSION_JSON def get_versions(): return json.loads(version_json) """ def versions_from_file(filename): """Try to determine the version from _version.py if present.""" try: with open(filename) as f: contents = f.read() except EnvironmentError: raise NotThisMethod("unable to read _version.py") mo = re.search(r"version_json = '''\n(.*)''' # END VERSION_JSON", contents, re.M | re.S) if not mo: mo = re.search(r"version_json = '''\r\n(.*)''' # END VERSION_JSON", contents, re.M | re.S) if not mo: raise NotThisMethod("no version_json in _version.py") return json.loads(mo.group(1)) def write_to_version_file(filename, versions): """Write the given version number to the given _version.py file.""" os.unlink(filename) contents = json.dumps(versions, sort_keys=True, indent=1, separators=(",", ": ")) with open(filename, "w") as f: f.write(SHORT_VERSION_PY % contents) print("set %s to '%s'" % (filename, versions["version"])) def plus_or_dot(pieces): """Return a + if we don't already have one, else return a .""" if "+" in pieces.get("closest-tag", ""): return "." return "+" def render_pep440(pieces): """Build up version string, with post-release "local version identifier". Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty Exceptions: 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += plus_or_dot(pieces) rendered += "%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" else: # exception #1 rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered def render_pep440_pre(pieces): """TAG[.post.devDISTANCE] -- No -dirty. Exceptions: 1: no tags. 0.post.devDISTANCE """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += ".post.dev%d" % pieces["distance"] else: # exception #1 rendered = "0.post.dev%d" % pieces["distance"] return rendered def render_pep440_post(pieces): """TAG[.postDISTANCE[.dev0]+gHEX] . The ".dev0" means dirty. Note that .dev0 sorts backwards (a dirty tree will appear "older" than the corresponding clean one), but you shouldn't be releasing software with -dirty anyways. Exceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += plus_or_dot(pieces) rendered += "g%s" % pieces["short"] else: # exception #1 rendered = "0.post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" rendered += "+g%s" % pieces["short"] return rendered def render_pep440_old(pieces): """TAG[.postDISTANCE[.dev0]] . The ".dev0" means dirty. Eexceptions: 1: no tags. 0.postDISTANCE[.dev0] """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"] or pieces["dirty"]: rendered += ".post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" else: # exception #1 rendered = "0.post%d" % pieces["distance"] if pieces["dirty"]: rendered += ".dev0" return rendered def render_git_describe(pieces): """TAG[-DISTANCE-gHEX][-dirty]. Like 'git describe --tags --dirty --always'. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] if pieces["distance"]: rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render_git_describe_long(pieces): """TAG-DISTANCE-gHEX[-dirty]. Like 'git describe --tags --dirty --always -long'. The distance/hash is unconditional. Exceptions: 1: no tags. HEX[-dirty] (note: no 'g' prefix) """ if pieces["closest-tag"]: rendered = pieces["closest-tag"] rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) else: # exception #1 rendered = pieces["short"] if pieces["dirty"]: rendered += "-dirty" return rendered def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: return {"version": "unknown", "full-revisionid": pieces.get("long"), "dirty": None, "error": pieces["error"], "date": None} if not style or style == "default": style = "pep440" # the default if style == "pep440": rendered = render_pep440(pieces) elif style == "pep440-pre": rendered = render_pep440_pre(pieces) elif style == "pep440-post": rendered = render_pep440_post(pieces) elif style == "pep440-old": rendered = render_pep440_old(pieces) elif style == "git-describe": rendered = render_git_describe(pieces) elif style == "git-describe-long": rendered = render_git_describe_long(pieces) else: raise ValueError("unknown style '%s'" % style) return {"version": rendered, "full-revisionid": pieces["long"], "dirty": pieces["dirty"], "error": None, "date": pieces.get("date")} class VersioneerBadRootError(Exception): """The project root directory is unknown or missing key files.""" def get_versions(verbose=False): """Get the project version from whatever source is available. Returns dict with two keys: 'version' and 'full'. """ if "versioneer" in sys.modules: # see the discussion in cmdclass.py:get_cmdclass() del sys.modules["versioneer"] root = get_root() cfg = get_config_from_root(root) assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg" handlers = HANDLERS.get(cfg.VCS) assert handlers, "unrecognized VCS '%s'" % cfg.VCS verbose = verbose or cfg.verbose assert cfg.versionfile_source is not None, \ "please set versioneer.versionfile_source" assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix" versionfile_abs = os.path.join(root, cfg.versionfile_source) # extract version from first of: _version.py, VCS command (e.g. 'git # describe'), parentdir. This is meant to work for developers using a # source checkout, for users of a tarball created by 'setup.py sdist', # and for users of a tarball/zipball created by 'git archive' or github's # download-from-tag feature or the equivalent in other VCSes. get_keywords_f = handlers.get("get_keywords") from_keywords_f = handlers.get("keywords") if get_keywords_f and from_keywords_f: try: keywords = get_keywords_f(versionfile_abs) ver = from_keywords_f(keywords, cfg.tag_prefix, verbose) if verbose: print("got version from expanded keyword %s" % ver) return ver except NotThisMethod: pass try: ver = versions_from_file(versionfile_abs) if verbose: print("got version from file %s %s" % (versionfile_abs, ver)) return ver except NotThisMethod: pass from_vcs_f = handlers.get("pieces_from_vcs") if from_vcs_f: try: pieces = from_vcs_f(cfg.tag_prefix, root, verbose) ver = render(pieces, cfg.style) if verbose: print("got version from VCS %s" % ver) return ver except NotThisMethod: pass try: if cfg.parentdir_prefix: ver = versions_from_parentdir(cfg.parentdir_prefix, root, verbose) if verbose: print("got version from parentdir %s" % ver) return ver except NotThisMethod: pass if verbose: print("unable to compute version") return {"version": "0+unknown", "full-revisionid": None, "dirty": None, "error": "unable to compute version", "date": None} def get_version(): """Get the short version string for this project.""" return get_versions()["version"] def get_cmdclass(): """Get the custom setuptools/distutils subclasses used by Versioneer.""" if "versioneer" in sys.modules: del sys.modules["versioneer"] # this fixes the "python setup.py develop" case (also 'install' and # 'easy_install .'), in which subdependencies of the main project are # built (using setup.py bdist_egg) in the same python process. Assume # a main project A and a dependency B, which use different versions # of Versioneer. A's setup.py imports A's Versioneer, leaving it in # sys.modules by the time B's setup.py is executed, causing B to run # with the wrong versioneer. Setuptools wraps the sub-dep builds in a # sandbox that restores sys.modules to it's pre-build state, so the # parent is protected against the child's "import versioneer". By # removing ourselves from sys.modules here, before the child build # happens, we protect the child from the parent's versioneer too. # Also see https://github.com/warner/python-versioneer/issues/52 cmds = {} # we add "version" to both distutils and setuptools from distutils.core import Command class cmd_version(Command): description = "report generated version string" user_options = [] boolean_options = [] def initialize_options(self): pass def finalize_options(self): pass def run(self): vers = get_versions(verbose=True) print("Version: %s" % vers["version"]) print(" full-revisionid: %s" % vers.get("full-revisionid")) print(" dirty: %s" % vers.get("dirty")) print(" date: %s" % vers.get("date")) if vers["error"]: print(" error: %s" % vers["error"]) cmds["version"] = cmd_version # we override "build_py" in both distutils and setuptools # # most invocation pathways end up running build_py: # distutils/build -> build_py # distutils/install -> distutils/build ->.. # setuptools/bdist_wheel -> distutils/install ->.. # setuptools/bdist_egg -> distutils/install_lib -> build_py # setuptools/install -> bdist_egg ->.. # setuptools/develop -> ? # pip install: # copies source tree to a tempdir before running egg_info/etc # if .git isn't copied too, 'git describe' will fail # then does setup.py bdist_wheel, or sometimes setup.py install # setup.py egg_info -> ? # we override different "build_py" commands for both environments if "setuptools" in sys.modules: from setuptools.command.build_py import build_py as _build_py else: from distutils.command.build_py import build_py as _build_py class cmd_build_py(_build_py): def run(self): root = get_root() cfg = get_config_from_root(root) versions = get_versions() _build_py.run(self) # now locate _version.py in the new build/ directory and replace # it with an updated value if cfg.versionfile_build: target_versionfile = os.path.join(self.build_lib, cfg.versionfile_build) print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) cmds["build_py"] = cmd_build_py if "cx_Freeze" in sys.modules: # cx_freeze enabled? from cx_Freeze.dist import build_exe as _build_exe # nczeczulin reports that py2exe won't like the pep440-style string # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g. # setup(console=[{ # "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION # "product_version": versioneer.get_version(), # ... class cmd_build_exe(_build_exe): def run(self): root = get_root() cfg = get_config_from_root(root) versions = get_versions() target_versionfile = cfg.versionfile_source print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) _build_exe.run(self) os.unlink(target_versionfile) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] f.write(LONG % {"DOLLAR": "$", "STYLE": cfg.style, "TAG_PREFIX": cfg.tag_prefix, "PARENTDIR_PREFIX": cfg.parentdir_prefix, "VERSIONFILE_SOURCE": cfg.versionfile_source, }) cmds["build_exe"] = cmd_build_exe del cmds["build_py"] if 'py2exe' in sys.modules: # py2exe enabled? try: from py2exe.distutils_buildexe import py2exe as _py2exe # py3 except ImportError: from py2exe.build_exe import py2exe as _py2exe # py2 class cmd_py2exe(_py2exe): def run(self): root = get_root() cfg = get_config_from_root(root) versions = get_versions() target_versionfile = cfg.versionfile_source print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) _py2exe.run(self) os.unlink(target_versionfile) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] f.write(LONG % {"DOLLAR": "$", "STYLE": cfg.style, "TAG_PREFIX": cfg.tag_prefix, "PARENTDIR_PREFIX": cfg.parentdir_prefix, "VERSIONFILE_SOURCE": cfg.versionfile_source, }) cmds["py2exe"] = cmd_py2exe # we override different "sdist" commands for both environments if "setuptools" in sys.modules: from setuptools.command.sdist import sdist as _sdist else: from distutils.command.sdist import sdist as _sdist class cmd_sdist(_sdist): def run(self): versions = get_versions() self._versioneer_generated_versions = versions # unless we update this, the command will keep using the old # version self.distribution.metadata.version = versions["version"] return _sdist.run(self) def make_release_tree(self, base_dir, files): root = get_root() cfg = get_config_from_root(root) _sdist.make_release_tree(self, base_dir, files) # now locate _version.py in the new base_dir directory # (remembering that it may be a hardlink) and replace it with an # updated value target_versionfile = os.path.join(base_dir, cfg.versionfile_source) print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, self._versioneer_generated_versions) cmds["sdist"] = cmd_sdist return cmds CONFIG_ERROR = """ setup.cfg is missing the necessary Versioneer configuration. You need a section like: [versioneer] VCS = git style = pep440 versionfile_source = src/myproject/_version.py versionfile_build = myproject/_version.py tag_prefix = parentdir_prefix = myproject- You will also need to edit your setup.py to use the results: import versioneer setup(version=versioneer.get_version(), cmdclass=versioneer.get_cmdclass(), ...) Please read the docstring in ./versioneer.py for configuration instructions, edit setup.cfg, and re-run the installer or 'python versioneer.py setup'. """ SAMPLE_CONFIG = """ # See the docstring in versioneer.py for instructions. Note that you must # re-run 'versioneer.py setup' after changing this section, and commit the # resulting files. [versioneer] #VCS = git #style = pep440 #versionfile_source = #versionfile_build = #tag_prefix = #parentdir_prefix = """ INIT_PY_SNIPPET = """ from ._version import get_versions __version__ = get_versions()['version'] del get_versions """ def do_setup(): """Main VCS-independent setup function for installing Versioneer.""" root = get_root() try: cfg = get_config_from_root(root) except (EnvironmentError, configparser.NoSectionError, configparser.NoOptionError) as e: if isinstance(e, (EnvironmentError, configparser.NoSectionError)): print("Adding sample versioneer config to setup.cfg", file=sys.stderr) with open(os.path.join(root, "setup.cfg"), "a") as f: f.write(SAMPLE_CONFIG) print(CONFIG_ERROR, file=sys.stderr) return 1 print(" creating %s" % cfg.versionfile_source) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] f.write(LONG % {"DOLLAR": "$", "STYLE": cfg.style, "TAG_PREFIX": cfg.tag_prefix, "PARENTDIR_PREFIX": cfg.parentdir_prefix, "VERSIONFILE_SOURCE": cfg.versionfile_source, }) ipy = os.path.join(os.path.dirname(cfg.versionfile_source), "__init__.py") if os.path.exists(ipy): try: with open(ipy, "r") as f: old = f.read() except EnvironmentError: old = "" if INIT_PY_SNIPPET not in old: print(" appending to %s" % ipy) with open(ipy, "a") as f: f.write(INIT_PY_SNIPPET) else: print(" %s unmodified" % ipy) else: print(" %s doesn't exist, ok" % ipy) ipy = None # Make sure both the top-level "versioneer.py" and versionfile_source # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so # they'll be copied into source distributions. Pip won't be able to # install the package without this. manifest_in = os.path.join(root, "MANIFEST.in") simple_includes = set() try: with open(manifest_in, "r") as f: for line in f: if line.startswith("include "): for include in line.split()[1:]: simple_includes.add(include) except EnvironmentError: pass # That doesn't cover everything MANIFEST.in can do # (https://docs.python.org/2/distutils/sourcedist.html#commands), so # it might give some false negatives. Appending redundant 'include' # lines is safe, though. if "versioneer.py" not in simple_includes: print(" appending 'versioneer.py' to MANIFEST.in") with open(manifest_in, "a") as f: f.write("include versioneer.py\n") else: print(" 'versioneer.py' already in MANIFEST.in") if cfg.versionfile_source not in simple_includes: print(" appending versionfile_source ('%s') to MANIFEST.in" % cfg.versionfile_source) with open(manifest_in, "a") as f: f.write("include %s\n" % cfg.versionfile_source) else: print(" versionfile_source already in MANIFEST.in") # Make VCS-specific changes. For git, this means creating/changing # .gitattributes to mark _version.py for export-subst keyword # substitution. do_vcs_install(manifest_in, cfg.versionfile_source, ipy) return 0 def scan_setup_py(): """Validate the contents of setup.py against Versioneer's expectations.""" found = set() setters = False errors = 0 with open("setup.py", "r") as f: for line in f.readlines(): if "import versioneer" in line: found.add("import") if "versioneer.get_cmdclass()" in line: found.add("cmdclass") if "versioneer.get_version()" in line: found.add("get_version") if "versioneer.VCS" in line: setters = True if "versioneer.versionfile_source" in line: setters = True if len(found) != 3: print("") print("Your setup.py appears to be missing some important items") print("(but I might be wrong). Please make sure it has something") print("roughly like the following:") print("") print(" import versioneer") print(" setup( version=versioneer.get_version(),") print(" cmdclass=versioneer.get_cmdclass(), ...)") print("") errors += 1 if setters: print("You should remove lines like 'versioneer.VCS = ' and") print("'versioneer.versionfile_source = ' . This configuration") print("now lives in setup.cfg, and should be removed from setup.py") print("") errors += 1 return errors if __name__ == "__main__": cmd = sys.argv[1] if cmd == "setup": errors = do_setup() errors += scan_setup_py() if errors: sys.exit(1)