././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4981325
libarchive-c-5.1/ 0000755 0002166 0000144 00000000000 14571615257 013450 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442606.0
libarchive-c-5.1/.gitattributes 0000644 0002166 0000144 00000000031 13017341356 016323 0 ustar 00changaco users version.py export-subst
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4947991
libarchive-c-5.1/.github/ 0000755 0002166 0000144 00000000000 14571615257 015010 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621866577.0
libarchive-c-5.1/.github/FUNDING.yml 0000644 0002166 0000144 00000000024 14052734121 016603 0 ustar 00changaco users liberapay: Changaco
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4947991
libarchive-c-5.1/.github/workflows/ 0000755 0002166 0000144 00000000000 14571615257 017045 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1688027638.0
libarchive-c-5.1/.github/workflows/main.yml 0000644 0002166 0000144 00000001746 14447240766 020525 0 ustar 00changaco users name: CI
on:
# Trigger the workflow on push or pull request events but only for the master branch
push:
branches: [ master ]
pull_request:
branches: [ master ]
# Allow running this workflow manually from the Actions tab
workflow_dispatch:
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Install libarchive
run: sudo apt-get install -y libarchive13
- name: Install Python 3.11
uses: actions/setup-python@v2
with:
python-version: '3.11'
- name: Install Python 3.10
uses: actions/setup-python@v2
with:
python-version: '3.10'
- name: Install Python 3.9
uses: actions/setup-python@v2
with:
python-version: '3.9'
- name: Install Python 3.8
uses: actions/setup-python@v2
with:
python-version: '3.8'
- name: Install tox
run: pip install tox
- name: Run the tests
run: tox
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442609.0
libarchive-c-5.1/.gitignore 0000644 0002166 0000144 00000000101 13017341361 015412 0 ustar 00changaco users *.egg-info/
/build/
/dist/
/env/
/htmlcov/
.coverage
*.pyc
.tox/
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528634603.0
libarchive-c-5.1/LICENSE.md 0000644 0002166 0000144 00000000063 13307216353 015041 0 ustar 00changaco users https://creativecommons.org/publicdomain/zero/1.0/
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442602.0
libarchive-c-5.1/MANIFEST.in 0000644 0002166 0000144 00000000023 13017341352 015163 0 ustar 00changaco users include version.py
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4981325
libarchive-c-5.1/PKG-INFO 0000644 0002166 0000144 00000012274 14571615257 014553 0 ustar 00changaco users Metadata-Version: 2.1
Name: libarchive-c
Version: 5.1
Summary: Python interface to libarchive
Home-page: https://github.com/Changaco/python-libarchive-c
Author: Changaco
Author-email: changaco@changaco.oy.lc
License: CC0
Keywords: archive libarchive 7z tar bz2 zip gz
Description-Content-Type: text/x-rst
License-File: LICENSE.md
A Python interface to libarchive. It uses the standard ctypes_ module to
dynamically load and access the C library.
.. _ctypes: https://docs.python.org/3/library/ctypes.html
Installation
============
pip install libarchive-c
Compatibility
=============
python
------
python-libarchive-c is currently tested with python 3.8, 3.9, 3.10 and 3.11.
If you find an incompatibility with older versions you can send us a small patch,
but we won't accept big changes.
libarchive
----------
python-libarchive-c may not work properly with obsolete versions of libarchive such as the ones included in MacOS. In that case you can install a recent version of libarchive (e.g. with ``brew install libarchive`` on MacOS) and use the ``LIBARCHIVE`` environment variable to point python-libarchive-c to it::
export LIBARCHIVE=/usr/local/Cellar/libarchive/3.3.3/lib/libarchive.13.dylib
Usage
=====
Import::
import libarchive
Extracting archives
-------------------
To extract an archive, use the ``extract_file`` function::
os.chdir('/path/to/target/directory')
libarchive.extract_file('test.zip')
Alternatively, the ``extract_memory`` function can be used to extract from a buffer,
and ``extract_fd`` from a file descriptor.
The ``extract_*`` functions all have an integer ``flags`` argument which is passed
directly to the C function ``archive_write_disk_set_options()``. You can import
the ``EXTRACT_*`` constants from the ``libarchive.extract`` module and see the
official description of each flag in the ``archive_write_disk(3)`` man page.
By default, when the ``flags`` argument is ``None``, the ``SECURE_NODOTDOT``,
``SECURE_NOABSOLUTEPATHS`` and ``SECURE_SYMLINKS`` flags are passed to
libarchive, unless the current directory is the root (``/``).
Reading archives
----------------
To read an archive, use the ``file_reader`` function::
with libarchive.file_reader('test.7z') as archive:
for entry in archive:
for block in entry.get_blocks():
...
Alternatively, the ``memory_reader`` function can be used to read from a buffer,
``fd_reader`` from a file descriptor, ``stream_reader`` from a stream object
(which must support the standard ``readinto`` method), and ``custom_reader``
from anywhere using callbacks.
To learn about the attributes of the ``entry`` object, see the ``libarchive/entry.py``
source code or run ``help(libarchive.entry.ArchiveEntry)`` in a Python shell.
Displaying progress
~~~~~~~~~~~~~~~~~~~
If your program processes large archives, you can keep track of its progress
with the ``bytes_read`` attribute. Here's an example of a progress bar using
`tqdm `_::
with tqdm(total=os.stat(archive_path).st_size, unit='bytes') as pbar, \
libarchive.file_reader(archive_path) as archive:
for entry in archive:
...
pbar.update(archive.bytes_read - pbar.n)
Creating archives
-----------------
To create an archive, use the ``file_writer`` function::
from libarchive.entry import FileType
with libarchive.file_writer('test.tar.gz', 'ustar', 'gzip') as archive:
# Add the `libarchive/` directory and everything in it (recursively),
# then the `README.rst` file.
archive.add_files('libarchive/', 'README.rst')
# Add a regular file defined from scratch.
data = b'foobar'
archive.add_file_from_memory('../escape-test', len(data), data)
# Add a directory defined from scratch.
early_epoch = (42, 42) # 1970-01-01 00:00:42.000000042
archive.add_file_from_memory(
'metadata-test', 0, b'',
filetype=FileType.DIRECTORY, permission=0o755, uid=4242, gid=4242,
atime=early_epoch, mtime=early_epoch, ctime=early_epoch, birthtime=early_epoch,
)
Alternatively, the ``memory_writer`` function can be used to write to a memory buffer,
``fd_writer`` to a file descriptor, and ``custom_writer`` to a callback function.
For each of those functions, the mandatory second argument is the archive format,
and the optional third argument is the compression format (called “filter” in
libarchive). The acceptable values are listed in ``libarchive.ffi.WRITE_FORMATS``
and ``libarchive.ffi.WRITE_FILTERS``.
File metadata codecs
--------------------
By default, UTF-8 is used to read and write file attributes from and to archives.
A different codec can be specified through the ``header_codec`` arguments of the
``*_reader`` and ``*_writer`` functions. Example::
with libarchive.file_writer('test.tar', 'ustar', header_codec='cp037') as archive:
...
with file_reader('test.tar', header_codec='cp037') as archive:
...
In addition to file paths (``pathname`` and ``linkpath``), the specified codec is
used to encode and decode user and group names (``uname`` and ``gname``).
License
=======
`CC0 Public Domain Dedication `_
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1688457938.0
libarchive-c-5.1/README.rst 0000644 0002166 0000144 00000011561 14450751322 015131 0 ustar 00changaco users A Python interface to libarchive. It uses the standard ctypes_ module to
dynamically load and access the C library.
.. _ctypes: https://docs.python.org/3/library/ctypes.html
Installation
============
pip install libarchive-c
Compatibility
=============
python
------
python-libarchive-c is currently tested with python 3.8, 3.9, 3.10 and 3.11.
If you find an incompatibility with older versions you can send us a small patch,
but we won't accept big changes.
libarchive
----------
python-libarchive-c may not work properly with obsolete versions of libarchive such as the ones included in MacOS. In that case you can install a recent version of libarchive (e.g. with ``brew install libarchive`` on MacOS) and use the ``LIBARCHIVE`` environment variable to point python-libarchive-c to it::
export LIBARCHIVE=/usr/local/Cellar/libarchive/3.3.3/lib/libarchive.13.dylib
Usage
=====
Import::
import libarchive
Extracting archives
-------------------
To extract an archive, use the ``extract_file`` function::
os.chdir('/path/to/target/directory')
libarchive.extract_file('test.zip')
Alternatively, the ``extract_memory`` function can be used to extract from a buffer,
and ``extract_fd`` from a file descriptor.
The ``extract_*`` functions all have an integer ``flags`` argument which is passed
directly to the C function ``archive_write_disk_set_options()``. You can import
the ``EXTRACT_*`` constants from the ``libarchive.extract`` module and see the
official description of each flag in the ``archive_write_disk(3)`` man page.
By default, when the ``flags`` argument is ``None``, the ``SECURE_NODOTDOT``,
``SECURE_NOABSOLUTEPATHS`` and ``SECURE_SYMLINKS`` flags are passed to
libarchive, unless the current directory is the root (``/``).
Reading archives
----------------
To read an archive, use the ``file_reader`` function::
with libarchive.file_reader('test.7z') as archive:
for entry in archive:
for block in entry.get_blocks():
...
Alternatively, the ``memory_reader`` function can be used to read from a buffer,
``fd_reader`` from a file descriptor, ``stream_reader`` from a stream object
(which must support the standard ``readinto`` method), and ``custom_reader``
from anywhere using callbacks.
To learn about the attributes of the ``entry`` object, see the ``libarchive/entry.py``
source code or run ``help(libarchive.entry.ArchiveEntry)`` in a Python shell.
Displaying progress
~~~~~~~~~~~~~~~~~~~
If your program processes large archives, you can keep track of its progress
with the ``bytes_read`` attribute. Here's an example of a progress bar using
`tqdm `_::
with tqdm(total=os.stat(archive_path).st_size, unit='bytes') as pbar, \
libarchive.file_reader(archive_path) as archive:
for entry in archive:
...
pbar.update(archive.bytes_read - pbar.n)
Creating archives
-----------------
To create an archive, use the ``file_writer`` function::
from libarchive.entry import FileType
with libarchive.file_writer('test.tar.gz', 'ustar', 'gzip') as archive:
# Add the `libarchive/` directory and everything in it (recursively),
# then the `README.rst` file.
archive.add_files('libarchive/', 'README.rst')
# Add a regular file defined from scratch.
data = b'foobar'
archive.add_file_from_memory('../escape-test', len(data), data)
# Add a directory defined from scratch.
early_epoch = (42, 42) # 1970-01-01 00:00:42.000000042
archive.add_file_from_memory(
'metadata-test', 0, b'',
filetype=FileType.DIRECTORY, permission=0o755, uid=4242, gid=4242,
atime=early_epoch, mtime=early_epoch, ctime=early_epoch, birthtime=early_epoch,
)
Alternatively, the ``memory_writer`` function can be used to write to a memory buffer,
``fd_writer`` to a file descriptor, and ``custom_writer`` to a callback function.
For each of those functions, the mandatory second argument is the archive format,
and the optional third argument is the compression format (called “filter” in
libarchive). The acceptable values are listed in ``libarchive.ffi.WRITE_FORMATS``
and ``libarchive.ffi.WRITE_FILTERS``.
File metadata codecs
--------------------
By default, UTF-8 is used to read and write file attributes from and to archives.
A different codec can be specified through the ``header_codec`` arguments of the
``*_reader`` and ``*_writer`` functions. Example::
with libarchive.file_writer('test.tar', 'ustar', header_codec='cp037') as archive:
...
with file_reader('test.tar', header_codec='cp037') as archive:
...
In addition to file paths (``pathname`` and ``linkpath``), the specified codec is
used to encode and decode user and group names (``uname`` and ``gname``).
License
=======
`CC0 Public Domain Dedication `_
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4947991
libarchive-c-5.1/libarchive/ 0000755 0002166 0000144 00000000000 14571615257 015560 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621868931.0
libarchive-c-5.1/libarchive/__init__.py 0000644 0002166 0000144 00000001131 14052740603 017651 0 ustar 00changaco users from .entry import ArchiveEntry
from .exception import ArchiveError
from .extract import extract_fd, extract_file, extract_memory
from .read import (
custom_reader, fd_reader, file_reader, memory_reader, stream_reader,
seekable_stream_reader
)
from .write import custom_writer, fd_writer, file_writer, memory_writer
__all__ = [x.__name__ for x in (
ArchiveEntry,
ArchiveError,
extract_fd, extract_file, extract_memory,
custom_reader, fd_reader, file_reader, memory_reader, stream_reader,
seekable_stream_reader,
custom_writer, fd_writer, file_writer, memory_writer
)]
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644414.0
libarchive-c-5.1/libarchive/entry.py 0000644 0002166 0000144 00000034144 14571615176 017301 0 ustar 00changaco users from contextlib import contextmanager
from ctypes import create_string_buffer
from enum import IntEnum
import math
from . import ffi
class FileType(IntEnum):
NAMED_PIPE = AE_IFIFO = 0o010000 # noqa: E221
CHAR_DEVICE = AE_IFCHR = 0o020000 # noqa: E221
DIRECTORY = AE_IFDIR = 0o040000 # noqa: E221
BLOCK_DEVICE = AE_IFBLK = 0o060000 # noqa: E221
REGULAR_FILE = AE_IFREG = 0o100000 # noqa: E221
SYMBOLINK_LINK = AE_IFLNK = 0o120000 # noqa: E221
SOCKET = AE_IFSOCK = 0o140000 # noqa: E221
@contextmanager
def new_archive_entry():
entry_p = ffi.entry_new()
try:
yield entry_p
finally:
ffi.entry_free(entry_p)
def format_time(seconds, nanos):
""" return float of seconds.nanos when nanos set, or seconds when not """
if nanos:
return float(seconds) + float(nanos) / 1000000000.0
return int(seconds)
class ArchiveEntry:
__slots__ = ('_archive_p', '_entry_p', 'header_codec')
def __init__(self, archive_p=None, header_codec='utf-8', **attributes):
"""Allocate memory for an `archive_entry` struct.
The `header_codec` is used to decode and encode file paths and other
attributes.
The `**attributes` are passed to the `modify` method.
"""
self._archive_p = archive_p
self._entry_p = ffi.entry_new()
self.header_codec = header_codec
if attributes:
self.modify(**attributes)
def __del__(self):
"""Free the C struct"""
ffi.entry_free(self._entry_p)
def __str__(self):
"""Returns the file's path"""
return self.pathname
def modify(self, header_codec=None, **attributes):
"""Convenience method to modify the entry's attributes.
Args:
filetype (int): the file's type, see the `FileType` class for values
pathname (str): the file's path
linkpath (str): the other path of the file, if the file is a link
size (int | None): the file's size, in bytes
perm (int): the file's permissions in standard Unix format, e.g. 0o640
uid (int): the file owner's numerical identifier
gid (int): the file group's numerical identifier
uname (str | bytes): the file owner's name
gname (str | bytes): the file group's name
atime (int | Tuple[int, int] | float | None):
the file's most recent access time,
either in seconds or as a tuple (seconds, nanoseconds)
mtime (int | Tuple[int, int] | float | None):
the file's most recent modification time,
either in seconds or as a tuple (seconds, nanoseconds)
ctime (int | Tuple[int, int] | float | None):
the file's most recent metadata change time,
either in seconds or as a tuple (seconds, nanoseconds)
birthtime (int | Tuple[int, int] | float | None):
the file's creation time (for archive formats that support it),
either in seconds or as a tuple (seconds, nanoseconds)
rdev (int | Tuple[int, int]): device number, if the file is a device
rdevmajor (int): major part of the device number
rdevminor (int): minor part of the device number
"""
if header_codec:
self.header_codec = header_codec
for name, value in attributes.items():
setattr(self, name, value)
@property
def filetype(self):
return ffi.entry_filetype(self._entry_p)
@filetype.setter
def filetype(self, value):
ffi.entry_set_filetype(self._entry_p, value)
@property
def uid(self):
return ffi.entry_uid(self._entry_p)
@uid.setter
def uid(self, uid):
ffi.entry_set_uid(self._entry_p, uid)
@property
def gid(self):
return ffi.entry_gid(self._entry_p)
@gid.setter
def gid(self, gid):
ffi.entry_set_gid(self._entry_p, gid)
@property
def uname(self):
uname = ffi.entry_uname_w(self._entry_p)
if not uname:
uname = ffi.entry_uname(self._entry_p)
if uname is not None:
try:
uname = uname.decode(self.header_codec)
except UnicodeError:
pass
return uname
@uname.setter
def uname(self, value):
if not isinstance(value, bytes):
value = value.encode(self.header_codec)
if self.header_codec == 'utf-8':
ffi.entry_update_uname_utf8(self._entry_p, value)
else:
ffi.entry_copy_uname(self._entry_p, value)
@property
def gname(self):
gname = ffi.entry_gname_w(self._entry_p)
if not gname:
gname = ffi.entry_gname(self._entry_p)
if gname is not None:
try:
gname = gname.decode(self.header_codec)
except UnicodeError:
pass
return gname
@gname.setter
def gname(self, value):
if not isinstance(value, bytes):
value = value.encode(self.header_codec)
if self.header_codec == 'utf-8':
ffi.entry_update_gname_utf8(self._entry_p, value)
else:
ffi.entry_copy_gname(self._entry_p, value)
def get_blocks(self, block_size=ffi.page_size):
"""Read the file's content, keeping only one chunk in memory at a time.
Don't do anything like `list(entry.get_blocks())`, it would silently fail.
Args:
block_size (int): the buffer's size, in bytes
"""
archive_p = self._archive_p
if not archive_p:
raise TypeError("this entry isn't linked to any content")
buf = create_string_buffer(block_size)
read = ffi.read_data
while 1:
r = read(archive_p, buf, block_size)
if r == 0:
break
yield buf.raw[0:r]
self.__class__ = ConsumedArchiveEntry
@property
def isblk(self):
return self.filetype & 0o170000 == 0o060000
@property
def ischr(self):
return self.filetype & 0o170000 == 0o020000
@property
def isdir(self):
return self.filetype & 0o170000 == 0o040000
@property
def isfifo(self):
return self.filetype & 0o170000 == 0o010000
@property
def islnk(self):
return bool(ffi.entry_hardlink_w(self._entry_p) or
ffi.entry_hardlink(self._entry_p))
@property
def issym(self):
return self.filetype & 0o170000 == 0o120000
@property
def isreg(self):
return self.filetype & 0o170000 == 0o100000
@property
def isfile(self):
return self.isreg
@property
def issock(self):
return self.filetype & 0o170000 == 0o140000
@property
def isdev(self):
return self.ischr or self.isblk or self.isfifo or self.issock
@property
def atime(self):
if not ffi.entry_atime_is_set(self._entry_p):
return None
sec_val = ffi.entry_atime(self._entry_p)
nsec_val = ffi.entry_atime_nsec(self._entry_p)
return format_time(sec_val, nsec_val)
@atime.setter
def atime(self, value):
if value is None:
ffi.entry_unset_atime(self._entry_p)
elif isinstance(value, int):
self.set_atime(value)
elif isinstance(value, tuple):
self.set_atime(*value)
else:
seconds, fraction = math.modf(value)
self.set_atime(int(seconds), int(fraction * 1_000_000_000))
def set_atime(self, timestamp_sec, timestamp_nsec=0):
"Kept for backward compatibility. `entry.atime = ...` is supported now."
return ffi.entry_set_atime(self._entry_p, timestamp_sec, timestamp_nsec)
@property
def mtime(self):
if not ffi.entry_mtime_is_set(self._entry_p):
return None
sec_val = ffi.entry_mtime(self._entry_p)
nsec_val = ffi.entry_mtime_nsec(self._entry_p)
return format_time(sec_val, nsec_val)
@mtime.setter
def mtime(self, value):
if value is None:
ffi.entry_unset_mtime(self._entry_p)
elif isinstance(value, int):
self.set_mtime(value)
elif isinstance(value, tuple):
self.set_mtime(*value)
else:
seconds, fraction = math.modf(value)
self.set_mtime(int(seconds), int(fraction * 1_000_000_000))
def set_mtime(self, timestamp_sec, timestamp_nsec=0):
"Kept for backward compatibility. `entry.mtime = ...` is supported now."
return ffi.entry_set_mtime(self._entry_p, timestamp_sec, timestamp_nsec)
@property
def ctime(self):
if not ffi.entry_ctime_is_set(self._entry_p):
return None
sec_val = ffi.entry_ctime(self._entry_p)
nsec_val = ffi.entry_ctime_nsec(self._entry_p)
return format_time(sec_val, nsec_val)
@ctime.setter
def ctime(self, value):
if value is None:
ffi.entry_unset_ctime(self._entry_p)
elif isinstance(value, int):
self.set_ctime(value)
elif isinstance(value, tuple):
self.set_ctime(*value)
else:
seconds, fraction = math.modf(value)
self.set_ctime(int(seconds), int(fraction * 1_000_000_000))
def set_ctime(self, timestamp_sec, timestamp_nsec=0):
"Kept for backward compatibility. `entry.ctime = ...` is supported now."
return ffi.entry_set_ctime(self._entry_p, timestamp_sec, timestamp_nsec)
@property
def birthtime(self):
if not ffi.entry_birthtime_is_set(self._entry_p):
return None
sec_val = ffi.entry_birthtime(self._entry_p)
nsec_val = ffi.entry_birthtime_nsec(self._entry_p)
return format_time(sec_val, nsec_val)
@birthtime.setter
def birthtime(self, value):
if value is None:
ffi.entry_unset_birthtime(self._entry_p)
elif isinstance(value, int):
self.set_birthtime(value)
elif isinstance(value, tuple):
self.set_birthtime(*value)
else:
seconds, fraction = math.modf(value)
self.set_birthtime(int(seconds), int(fraction * 1_000_000_000))
def set_birthtime(self, timestamp_sec, timestamp_nsec=0):
"Kept for backward compatibility. `entry.birthtime = ...` is supported now."
return ffi.entry_set_birthtime(
self._entry_p, timestamp_sec, timestamp_nsec
)
@property
def pathname(self):
path = ffi.entry_pathname_w(self._entry_p)
if not path:
path = ffi.entry_pathname(self._entry_p)
if path is not None:
try:
path = path.decode(self.header_codec)
except UnicodeError:
pass
return path
@pathname.setter
def pathname(self, value):
if not isinstance(value, bytes):
value = value.encode(self.header_codec)
if self.header_codec == 'utf-8':
ffi.entry_update_pathname_utf8(self._entry_p, value)
else:
ffi.entry_copy_pathname(self._entry_p, value)
@property
def linkpath(self):
path = (
(
ffi.entry_symlink_w(self._entry_p) or
ffi.entry_symlink(self._entry_p)
) if self.issym else (
ffi.entry_hardlink_w(self._entry_p) or
ffi.entry_hardlink(self._entry_p)
)
)
if isinstance(path, bytes):
try:
path = path.decode(self.header_codec)
except UnicodeError:
pass
return path
@linkpath.setter
def linkpath(self, value):
if not isinstance(value, bytes):
value = value.encode(self.header_codec)
if self.header_codec == 'utf-8':
ffi.entry_update_link_utf8(self._entry_p, value)
else:
ffi.entry_copy_link(self._entry_p, value)
# aliases for compatibility with the standard `tarfile` module
path = property(pathname.fget, pathname.fset, doc="alias of pathname")
name = path
linkname = property(linkpath.fget, linkpath.fset, doc="alias of linkpath")
@property
def size(self):
if ffi.entry_size_is_set(self._entry_p):
return ffi.entry_size(self._entry_p)
@size.setter
def size(self, value):
if value is None:
ffi.entry_unset_size(self._entry_p)
else:
ffi.entry_set_size(self._entry_p, value)
@property
def mode(self):
return ffi.entry_mode(self._entry_p)
@mode.setter
def mode(self, value):
ffi.entry_set_mode(self._entry_p, value)
@property
def strmode(self):
"""The file's mode as a string, e.g. '?rwxrwx---'"""
# note we strip the mode because archive_entry_strmode
# returns a trailing space: strcpy(bp, "?rwxrwxrwx ");
return ffi.entry_strmode(self._entry_p).strip()
@property
def perm(self):
return ffi.entry_perm(self._entry_p)
@perm.setter
def perm(self, value):
ffi.entry_set_perm(self._entry_p, value)
@property
def rdev(self):
return ffi.entry_rdev(self._entry_p)
@rdev.setter
def rdev(self, value):
if isinstance(value, tuple):
ffi.entry_set_rdevmajor(self._entry_p, value[0])
ffi.entry_set_rdevminor(self._entry_p, value[1])
else:
ffi.entry_set_rdev(self._entry_p, value)
@property
def rdevmajor(self):
return ffi.entry_rdevmajor(self._entry_p)
@rdevmajor.setter
def rdevmajor(self, value):
ffi.entry_set_rdevmajor(self._entry_p, value)
@property
def rdevminor(self):
return ffi.entry_rdevminor(self._entry_p)
@rdevminor.setter
def rdevminor(self, value):
ffi.entry_set_rdevminor(self._entry_p, value)
class ConsumedArchiveEntry(ArchiveEntry):
__slots__ = ()
def get_blocks(self, **kw):
raise TypeError("the content of this entry has already been read")
class PassedArchiveEntry(ArchiveEntry):
__slots__ = ()
def get_blocks(self, **kw):
raise TypeError("this entry is passed, it's too late to read its content")
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621868945.0
libarchive-c-5.1/libarchive/exception.py 0000644 0002166 0000144 00000000562 14052740621 020117 0 ustar 00changaco users
class ArchiveError(Exception):
def __init__(self, msg, errno=None, retcode=None, archive_p=None):
self.msg = msg
self.errno = errno
self.retcode = retcode
self.archive_p = archive_p
def __str__(self):
p = '%s (errno=%s, retcode=%s, archive_p=%s)'
return p % (self.msg, self.errno, self.retcode, self.archive_p)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1642872498.0
libarchive-c-5.1/libarchive/extract.py 0000644 0002166 0000144 00000005206 14173037262 017577 0 ustar 00changaco users from contextlib import contextmanager
from ctypes import byref, c_longlong, c_size_t, c_void_p
import os
from .ffi import (
write_disk_new, write_disk_set_options, write_free, write_header,
read_data_block, write_data_block, write_finish_entry, ARCHIVE_EOF
)
from .read import fd_reader, file_reader, memory_reader
EXTRACT_OWNER = 0x0001
EXTRACT_PERM = 0x0002
EXTRACT_TIME = 0x0004
EXTRACT_NO_OVERWRITE = 0x0008
EXTRACT_UNLINK = 0x0010
EXTRACT_ACL = 0x0020
EXTRACT_FFLAGS = 0x0040
EXTRACT_XATTR = 0x0080
EXTRACT_SECURE_SYMLINKS = 0x0100
EXTRACT_SECURE_NODOTDOT = 0x0200
EXTRACT_NO_AUTODIR = 0x0400
EXTRACT_NO_OVERWRITE_NEWER = 0x0800
EXTRACT_SPARSE = 0x1000
EXTRACT_MAC_METADATA = 0x2000
EXTRACT_NO_HFS_COMPRESSION = 0x4000
EXTRACT_HFS_COMPRESSION_FORCED = 0x8000
EXTRACT_SECURE_NOABSOLUTEPATHS = 0x10000
EXTRACT_CLEAR_NOCHANGE_FFLAGS = 0x20000
PREVENT_ESCAPE = (
EXTRACT_SECURE_NOABSOLUTEPATHS |
EXTRACT_SECURE_NODOTDOT |
EXTRACT_SECURE_SYMLINKS
)
@contextmanager
def new_archive_write_disk(flags):
archive_p = write_disk_new()
write_disk_set_options(archive_p, flags)
try:
yield archive_p
finally:
write_free(archive_p)
def extract_entries(entries, flags=None):
"""Extracts the given archive entries into the current directory.
"""
if flags is None:
if os.getcwd() == '/':
# If the current directory is the root, then trying to prevent
# escaping is probably undesirable.
flags = 0
else:
flags = PREVENT_ESCAPE
buff, size, offset = c_void_p(), c_size_t(), c_longlong()
buff_p, size_p, offset_p = byref(buff), byref(size), byref(offset)
with new_archive_write_disk(flags) as write_p:
for entry in entries:
write_header(write_p, entry._entry_p)
read_p = entry._archive_p
while 1:
r = read_data_block(read_p, buff_p, size_p, offset_p)
if r == ARCHIVE_EOF:
break
write_data_block(write_p, buff, size, offset)
write_finish_entry(write_p)
def extract_fd(fd, flags=None):
"""Extracts an archive from a file descriptor into the current directory.
"""
with fd_reader(fd) as archive:
extract_entries(archive, flags)
def extract_file(filepath, flags=None):
"""Extracts an archive from a file into the current directory."""
with file_reader(filepath) as archive:
extract_entries(archive, flags)
def extract_memory(buffer_, flags=None):
"""Extracts an archive from memory into the current directory."""
with memory_reader(buffer_) as archive:
extract_entries(archive, flags)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1688457938.0
libarchive-c-5.1/libarchive/ffi.py 0000644 0002166 0000144 00000030461 14450751322 016670 0 ustar 00changaco users from ctypes import (
c_char_p, c_int, c_uint, c_long, c_longlong, c_size_t, c_int64,
c_void_p, c_wchar_p, CFUNCTYPE, POINTER,
)
try:
from ctypes import c_ssize_t
except ImportError:
from ctypes import c_longlong as c_ssize_t
import ctypes
from ctypes.util import find_library
import logging
import mmap
import os
import sysconfig
from .exception import ArchiveError
logger = logging.getLogger('libarchive')
page_size = mmap.PAGESIZE
libarchive_path = os.environ.get('LIBARCHIVE') or find_library('archive')
libarchive = ctypes.cdll.LoadLibrary(libarchive_path)
# Constants
ARCHIVE_EOF = 1 # Found end of archive.
ARCHIVE_OK = 0 # Operation was successful.
ARCHIVE_RETRY = -10 # Retry might succeed.
ARCHIVE_WARN = -20 # Partial success.
ARCHIVE_FAILED = -25 # Current operation cannot complete.
ARCHIVE_FATAL = -30 # No more operations are possible.
# Callback types
WRITE_CALLBACK = CFUNCTYPE(
c_ssize_t, c_void_p, c_void_p, POINTER(c_void_p), c_size_t
)
READ_CALLBACK = CFUNCTYPE(
c_ssize_t, c_void_p, c_void_p, POINTER(c_void_p)
)
SEEK_CALLBACK = CFUNCTYPE(
c_longlong, c_void_p, c_void_p, c_longlong, c_int
)
OPEN_CALLBACK = CFUNCTYPE(c_int, c_void_p, c_void_p)
CLOSE_CALLBACK = CFUNCTYPE(c_int, c_void_p, c_void_p)
NO_OPEN_CB = ctypes.cast(None, OPEN_CALLBACK)
NO_CLOSE_CB = ctypes.cast(None, CLOSE_CALLBACK)
# Type aliases, for readability
c_archive_p = c_void_p
c_archive_entry_p = c_void_p
if sysconfig.get_config_var('SIZEOF_TIME_T') == 8:
c_time_t = c_int64
else:
c_time_t = c_long
# Helper functions
def _error_string(archive_p):
msg = error_string(archive_p)
if msg is None:
return
try:
return msg.decode('ascii')
except UnicodeDecodeError:
return msg
def archive_error(archive_p, retcode):
msg = _error_string(archive_p)
return ArchiveError(msg, errno(archive_p), retcode, archive_p)
def check_null(ret, func, args):
if ret is None:
raise ArchiveError(func.__name__+' returned NULL')
return ret
def check_int(retcode, func, args):
if retcode >= 0:
return retcode
elif retcode == ARCHIVE_WARN:
logger.warning(_error_string(args[0]))
return retcode
else:
raise archive_error(args[0], retcode)
def ffi(name, argtypes, restype, errcheck=None):
f = getattr(libarchive, 'archive_'+name)
f.argtypes = argtypes
f.restype = restype
if errcheck:
f.errcheck = errcheck
globals()[name] = f
return f
def get_read_format_function(format_name):
function_name = 'read_support_format_' + format_name
func = globals().get(function_name)
if func:
return func
try:
return ffi(function_name, [c_archive_p], c_int, check_int)
except AttributeError:
raise ValueError('the read format %r is not available' % format_name)
def get_read_filter_function(filter_name):
function_name = 'read_support_filter_' + filter_name
func = globals().get(function_name)
if func:
return func
try:
return ffi(function_name, [c_archive_p], c_int, check_int)
except AttributeError:
raise ValueError('the read filter %r is not available' % filter_name)
def get_write_format_function(format_name):
function_name = 'write_set_format_' + format_name
func = globals().get(function_name)
if func:
return func
try:
return ffi(function_name, [c_archive_p], c_int, check_int)
except AttributeError:
raise ValueError('the write format %r is not available' % format_name)
def get_write_filter_function(filter_name):
function_name = 'write_add_filter_' + filter_name
func = globals().get(function_name)
if func:
return func
try:
return ffi(function_name, [c_archive_p], c_int, check_int)
except AttributeError:
raise ValueError('the write filter %r is not available' % filter_name)
# FFI declarations
# library version
version_number = ffi('version_number', [], c_int, check_int)
# archive_util
errno = ffi('errno', [c_archive_p], c_int)
error_string = ffi('error_string', [c_archive_p], c_char_p)
ffi('filter_bytes', [c_archive_p, c_int], c_longlong)
ffi('filter_count', [c_archive_p], c_int)
ffi('filter_name', [c_archive_p, c_int], c_char_p)
ffi('format_name', [c_archive_p], c_char_p)
# archive_entry
ffi('entry_new', [], c_archive_entry_p, check_null)
ffi('entry_filetype', [c_archive_entry_p], c_int)
ffi('entry_atime', [c_archive_entry_p], c_time_t)
ffi('entry_birthtime', [c_archive_entry_p], c_time_t)
ffi('entry_mtime', [c_archive_entry_p], c_time_t)
ffi('entry_ctime', [c_archive_entry_p], c_time_t)
ffi('entry_atime_nsec', [c_archive_entry_p], c_long)
ffi('entry_birthtime_nsec', [c_archive_entry_p], c_long)
ffi('entry_mtime_nsec', [c_archive_entry_p], c_long)
ffi('entry_ctime_nsec', [c_archive_entry_p], c_long)
ffi('entry_atime_is_set', [c_archive_entry_p], c_int)
ffi('entry_birthtime_is_set', [c_archive_entry_p], c_int)
ffi('entry_mtime_is_set', [c_archive_entry_p], c_int)
ffi('entry_ctime_is_set', [c_archive_entry_p], c_int)
ffi('entry_pathname', [c_archive_entry_p], c_char_p)
ffi('entry_pathname_w', [c_archive_entry_p], c_wchar_p)
ffi('entry_sourcepath', [c_archive_entry_p], c_char_p)
ffi('entry_size', [c_archive_entry_p], c_longlong)
ffi('entry_size_is_set', [c_archive_entry_p], c_int)
ffi('entry_mode', [c_archive_entry_p], c_int)
ffi('entry_strmode', [c_archive_entry_p], c_char_p)
ffi('entry_perm', [c_archive_entry_p], c_int)
ffi('entry_hardlink', [c_archive_entry_p], c_char_p)
ffi('entry_hardlink_w', [c_archive_entry_p], c_wchar_p)
ffi('entry_symlink', [c_archive_entry_p], c_char_p)
ffi('entry_symlink_w', [c_archive_entry_p], c_wchar_p)
ffi('entry_rdev', [c_archive_entry_p], c_uint)
ffi('entry_rdevmajor', [c_archive_entry_p], c_uint)
ffi('entry_rdevminor', [c_archive_entry_p], c_uint)
ffi('entry_uid', [c_archive_entry_p], c_longlong)
ffi('entry_gid', [c_archive_entry_p], c_longlong)
ffi('entry_uname', [c_archive_entry_p], c_char_p)
ffi('entry_gname', [c_archive_entry_p], c_char_p)
ffi('entry_uname_w', [c_archive_entry_p], c_wchar_p)
ffi('entry_gname_w', [c_archive_entry_p], c_wchar_p)
ffi('entry_set_size', [c_archive_entry_p, c_longlong], None)
ffi('entry_set_filetype', [c_archive_entry_p, c_uint], None)
ffi('entry_set_uid', [c_archive_entry_p, c_longlong], None)
ffi('entry_set_gid', [c_archive_entry_p, c_longlong], None)
ffi('entry_set_mode', [c_archive_entry_p, c_int], None)
ffi('entry_set_perm', [c_archive_entry_p, c_int], None)
ffi('entry_set_atime', [c_archive_entry_p, c_time_t, c_long], None)
ffi('entry_set_mtime', [c_archive_entry_p, c_time_t, c_long], None)
ffi('entry_set_ctime', [c_archive_entry_p, c_time_t, c_long], None)
ffi('entry_set_birthtime', [c_archive_entry_p, c_time_t, c_long], None)
ffi('entry_set_rdev', [c_archive_entry_p, c_uint], None)
ffi('entry_set_rdevmajor', [c_archive_entry_p, c_uint], None)
ffi('entry_set_rdevminor', [c_archive_entry_p, c_uint], None)
ffi('entry_unset_size', [c_archive_entry_p], None)
ffi('entry_unset_atime', [c_archive_entry_p], None)
ffi('entry_unset_mtime', [c_archive_entry_p], None)
ffi('entry_unset_ctime', [c_archive_entry_p], None)
ffi('entry_unset_birthtime', [c_archive_entry_p], None)
ffi('entry_copy_pathname', [c_archive_entry_p, c_char_p], None)
ffi('entry_update_pathname_utf8', [c_archive_entry_p, c_char_p], c_int, check_int)
ffi('entry_copy_link', [c_archive_entry_p, c_char_p], None)
ffi('entry_update_link_utf8', [c_archive_entry_p, c_char_p], c_int, check_int)
ffi('entry_copy_uname', [c_archive_entry_p, c_char_p], None)
ffi('entry_update_uname_utf8', [c_archive_entry_p, c_char_p], c_int, check_int)
ffi('entry_copy_gname', [c_archive_entry_p, c_char_p], None)
ffi('entry_update_gname_utf8', [c_archive_entry_p, c_char_p], c_int, check_int)
ffi('entry_clear', [c_archive_entry_p], c_archive_entry_p)
ffi('entry_free', [c_archive_entry_p], None)
# archive_read
ffi('read_new', [], c_archive_p, check_null)
READ_FORMATS = set((
'7zip', 'all', 'ar', 'cab', 'cpio', 'empty', 'iso9660', 'lha', 'mtree',
'rar', 'raw', 'tar', 'xar', 'zip', 'warc'
))
for f_name in list(READ_FORMATS):
try:
get_read_format_function(f_name)
except ValueError as e: # pragma: no cover
logger.info(str(e))
READ_FORMATS.remove(f_name)
READ_FILTERS = set((
'all', 'bzip2', 'compress', 'grzip', 'gzip', 'lrzip', 'lzip', 'lzma',
'lzop', 'none', 'rpm', 'uu', 'xz', 'lz4', 'zstd'
))
for f_name in list(READ_FILTERS):
try:
get_read_filter_function(f_name)
except ValueError as e: # pragma: no cover
logger.info(str(e))
READ_FILTERS.remove(f_name)
ffi('read_set_seek_callback', [c_archive_p, SEEK_CALLBACK], c_int, check_int)
ffi('read_open',
[c_archive_p, c_void_p, OPEN_CALLBACK, READ_CALLBACK, CLOSE_CALLBACK],
c_int, check_int)
ffi('read_open_fd', [c_archive_p, c_int, c_size_t], c_int, check_int)
ffi('read_open_filename_w', [c_archive_p, c_wchar_p, c_size_t],
c_int, check_int)
ffi('read_open_memory', [c_archive_p, c_void_p, c_size_t], c_int, check_int)
ffi('read_next_header', [c_archive_p, POINTER(c_void_p)], c_int, check_int)
ffi('read_next_header2', [c_archive_p, c_void_p], c_int, check_int)
ffi('read_close', [c_archive_p], c_int, check_int)
ffi('read_free', [c_archive_p], c_int, check_int)
# archive_read_disk
ffi('read_disk_new', [], c_archive_p, check_null)
ffi('read_disk_set_behavior', [c_archive_p, c_int], c_int, check_int)
ffi('read_disk_set_standard_lookup', [c_archive_p], c_int, check_int)
ffi('read_disk_open', [c_archive_p, c_char_p], c_int, check_int)
ffi('read_disk_open_w', [c_archive_p, c_wchar_p], c_int, check_int)
ffi('read_disk_descend', [c_archive_p], c_int, check_int)
# archive_read_data
ffi('read_data_block',
[c_archive_p, POINTER(c_void_p), POINTER(c_size_t), POINTER(c_longlong)],
c_int, check_int)
ffi('read_data', [c_archive_p, c_void_p, c_size_t], c_ssize_t, check_int)
ffi('read_data_skip', [c_archive_p], c_int, check_int)
# archive_write
ffi('write_new', [], c_archive_p, check_null)
ffi('write_set_options', [c_archive_p, c_char_p], c_int, check_int)
ffi('write_disk_new', [], c_archive_p, check_null)
ffi('write_disk_set_options', [c_archive_p, c_int], c_int, check_int)
WRITE_FORMATS = set((
'7zip', 'ar_bsd', 'ar_svr4', 'cpio', 'cpio_newc', 'gnutar', 'iso9660',
'mtree', 'mtree_classic', 'pax', 'pax_restricted', 'shar', 'shar_dump',
'ustar', 'v7tar', 'xar', 'zip', 'warc'
))
for f_name in list(WRITE_FORMATS):
try:
get_write_format_function(f_name)
except ValueError as e: # pragma: no cover
logger.info(str(e))
WRITE_FORMATS.remove(f_name)
WRITE_FILTERS = set((
'b64encode', 'bzip2', 'compress', 'grzip', 'gzip', 'lrzip', 'lzip', 'lzma',
'lzop', 'uuencode', 'xz', 'lz4', 'zstd'
))
for f_name in list(WRITE_FILTERS):
try:
get_write_filter_function(f_name)
except ValueError as e: # pragma: no cover
logger.info(str(e))
WRITE_FILTERS.remove(f_name)
ffi('write_open',
[c_archive_p, c_void_p, OPEN_CALLBACK, WRITE_CALLBACK, CLOSE_CALLBACK],
c_int, check_int)
ffi('write_open_fd', [c_archive_p, c_int], c_int, check_int)
ffi('write_open_filename', [c_archive_p, c_char_p], c_int, check_int)
ffi('write_open_filename_w', [c_archive_p, c_wchar_p], c_int, check_int)
ffi('write_open_memory',
[c_archive_p, c_void_p, c_size_t, POINTER(c_size_t)],
c_int, check_int)
ffi('write_get_bytes_in_last_block', [c_archive_p], c_int, check_int)
ffi('write_get_bytes_per_block', [c_archive_p], c_int, check_int)
ffi('write_set_bytes_in_last_block', [c_archive_p, c_int], c_int, check_int)
ffi('write_set_bytes_per_block', [c_archive_p, c_int], c_int, check_int)
ffi('write_header', [c_archive_p, c_void_p], c_int, check_int)
ffi('write_data', [c_archive_p, c_void_p, c_size_t], c_ssize_t, check_int)
ffi('write_data_block', [c_archive_p, c_void_p, c_size_t, c_longlong],
c_int, check_int)
ffi('write_finish_entry', [c_archive_p], c_int, check_int)
ffi('write_fail', [c_archive_p], c_int, check_int)
ffi('write_close', [c_archive_p], c_int, check_int)
ffi('write_free', [c_archive_p], c_int, check_int)
# archive encryption
try:
ffi('read_add_passphrase', [c_archive_p, c_char_p], c_int, check_int)
ffi('write_set_passphrase', [c_archive_p, c_char_p], c_int, check_int)
except AttributeError:
logger.info(
f"the libarchive being used (version {version_number()}, "
f"path {libarchive_path}) doesn't support encryption"
)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528637234.0
libarchive-c-5.1/libarchive/flags.py 0000644 0002166 0000144 00000000323 13307223462 017211 0 ustar 00changaco users READDISK_RESTORE_ATIME = 0x0001
READDISK_HONOR_NODUMP = 0x0002
READDISK_MAC_COPYFILE = 0x0004
READDISK_NO_TRAVERSE_MOUNTS = 0x0008
READDISK_NO_XATTR = 0x0010
READDISK_NO_ACL = 0x0020
READDISK_NO_FFLAGS = 0x0040
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644414.0
libarchive-c-5.1/libarchive/read.py 0000644 0002166 0000144 00000013443 14571615176 017052 0 ustar 00changaco users from contextlib import contextmanager
from ctypes import cast, c_void_p, POINTER, create_string_buffer
from os import fstat, stat
from . import ffi
from .ffi import (
ARCHIVE_EOF, OPEN_CALLBACK, READ_CALLBACK, CLOSE_CALLBACK, SEEK_CALLBACK,
NO_OPEN_CB, NO_CLOSE_CB, page_size,
)
from .entry import ArchiveEntry, PassedArchiveEntry
class ArchiveRead:
def __init__(self, archive_p, header_codec='utf-8'):
self._pointer = archive_p
self.header_codec = header_codec
def __iter__(self):
"""Iterates through an archive's entries.
"""
archive_p = self._pointer
header_codec = self.header_codec
read_next_header2 = ffi.read_next_header2
while 1:
entry = ArchiveEntry(archive_p, header_codec)
r = read_next_header2(archive_p, entry._entry_p)
if r == ARCHIVE_EOF:
return
yield entry
entry.__class__ = PassedArchiveEntry
@property
def bytes_read(self):
return ffi.filter_bytes(self._pointer, -1)
@property
def filter_names(self):
count = ffi.filter_count(self._pointer)
return [ffi.filter_name(self._pointer, i) for i in range(count - 1)]
@property
def format_name(self):
return ffi.format_name(self._pointer)
@contextmanager
def new_archive_read(format_name='all', filter_name='all', passphrase=None):
"""Creates an archive struct suitable for reading from an archive.
Returns a pointer if successful. Raises ArchiveError on error.
"""
archive_p = ffi.read_new()
try:
if passphrase:
if not isinstance(passphrase, bytes):
passphrase = passphrase.encode('utf-8')
try:
ffi.read_add_passphrase(archive_p, passphrase)
except AttributeError:
raise NotImplementedError(
f"the libarchive being used (version {ffi.version_number()}, "
f"path {ffi.libarchive_path}) doesn't support encryption"
)
ffi.get_read_filter_function(filter_name)(archive_p)
ffi.get_read_format_function(format_name)(archive_p)
yield archive_p
finally:
ffi.read_free(archive_p)
@contextmanager
def custom_reader(
read_func, format_name='all', filter_name='all',
open_func=None, seek_func=None, close_func=None,
block_size=page_size, archive_read_class=ArchiveRead, passphrase=None,
header_codec='utf-8',
):
"""Read an archive using a custom function.
"""
open_cb = OPEN_CALLBACK(open_func) if open_func else NO_OPEN_CB
read_cb = READ_CALLBACK(read_func)
close_cb = CLOSE_CALLBACK(close_func) if close_func else NO_CLOSE_CB
seek_cb = SEEK_CALLBACK(seek_func)
with new_archive_read(format_name, filter_name, passphrase) as archive_p:
if seek_func:
ffi.read_set_seek_callback(archive_p, seek_cb)
ffi.read_open(archive_p, None, open_cb, read_cb, close_cb)
yield archive_read_class(archive_p, header_codec)
@contextmanager
def fd_reader(
fd, format_name='all', filter_name='all', block_size=4096, passphrase=None,
header_codec='utf-8',
):
"""Read an archive from a file descriptor.
"""
with new_archive_read(format_name, filter_name, passphrase) as archive_p:
try:
block_size = fstat(fd).st_blksize
except (OSError, AttributeError): # pragma: no cover
pass
ffi.read_open_fd(archive_p, fd, block_size)
yield ArchiveRead(archive_p, header_codec)
@contextmanager
def file_reader(
path, format_name='all', filter_name='all', block_size=4096, passphrase=None,
header_codec='utf-8',
):
"""Read an archive from a file.
"""
with new_archive_read(format_name, filter_name, passphrase) as archive_p:
try:
block_size = stat(path).st_blksize
except (OSError, AttributeError): # pragma: no cover
pass
ffi.read_open_filename_w(archive_p, path, block_size)
yield ArchiveRead(archive_p, header_codec)
@contextmanager
def memory_reader(
buf, format_name='all', filter_name='all', passphrase=None,
header_codec='utf-8',
):
"""Read an archive from memory.
"""
with new_archive_read(format_name, filter_name, passphrase) as archive_p:
ffi.read_open_memory(archive_p, cast(buf, c_void_p), len(buf))
yield ArchiveRead(archive_p, header_codec)
@contextmanager
def stream_reader(
stream, format_name='all', filter_name='all', block_size=page_size,
passphrase=None, header_codec='utf-8',
):
"""Read an archive from a stream.
The `stream` object must support the standard `readinto` method.
If `stream.seekable()` returns `True`, then an appropriate seek callback is
passed to libarchive.
"""
buf = create_string_buffer(block_size)
buf_p = cast(buf, c_void_p)
def read_func(archive_p, context, ptrptr):
# readinto the buffer, returns number of bytes read
length = stream.readinto(buf)
# write the address of the buffer into the pointer
ptrptr = cast(ptrptr, POINTER(c_void_p))
ptrptr[0] = buf_p
# tell libarchive how much data was written into the buffer
return length
def seek_func(archive_p, context, offset, whence):
stream.seek(offset, whence)
# tell libarchive the current position
return stream.tell()
open_cb = NO_OPEN_CB
read_cb = READ_CALLBACK(read_func)
close_cb = NO_CLOSE_CB
seek_cb = SEEK_CALLBACK(seek_func)
with new_archive_read(format_name, filter_name, passphrase) as archive_p:
if stream.seekable():
ffi.read_set_seek_callback(archive_p, seek_cb)
ffi.read_open(archive_p, None, open_cb, read_cb, close_cb)
yield ArchiveRead(archive_p, header_codec)
seekable_stream_reader = stream_reader
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1688457938.0
libarchive-c-5.1/libarchive/write.py 0000644 0002166 0000144 00000024314 14450751322 017256 0 ustar 00changaco users from contextlib import contextmanager
from ctypes import byref, cast, c_char, c_size_t, c_void_p, POINTER
from posixpath import join
import warnings
from . import ffi
from .entry import ArchiveEntry, FileType
from .ffi import (
OPEN_CALLBACK, WRITE_CALLBACK, CLOSE_CALLBACK, NO_OPEN_CB, NO_CLOSE_CB,
ARCHIVE_EOF,
page_size, entry_sourcepath, entry_clear, read_disk_new, read_disk_open_w,
read_next_header2, read_disk_descend, read_free, write_header, write_data,
write_finish_entry,
read_disk_set_behavior
)
@contextmanager
def new_archive_read_disk(path, flags=0, lookup=False):
archive_p = read_disk_new()
read_disk_set_behavior(archive_p, flags)
if lookup:
ffi.read_disk_set_standard_lookup(archive_p)
read_disk_open_w(archive_p, path)
try:
yield archive_p
finally:
read_free(archive_p)
class ArchiveWrite:
def __init__(self, archive_p, header_codec='utf-8'):
self._pointer = archive_p
self.header_codec = header_codec
def add_entries(self, entries):
"""Add the given entries to the archive.
"""
write_p = self._pointer
for entry in entries:
write_header(write_p, entry._entry_p)
for block in entry.get_blocks():
write_data(write_p, block, len(block))
write_finish_entry(write_p)
def add_files(
self, *paths, flags=0, lookup=False, pathname=None, recursive=True,
**attributes
):
"""Read files through the OS and add them to the archive.
Args:
paths (str): the paths of the files to add to the archive
flags (int):
passed to the C function `archive_read_disk_set_behavior`;
use the `libarchive.flags.READDISK_*` constants
lookup (bool):
when True, the C function `archive_read_disk_set_standard_lookup`
is called to enable the lookup of user and group names
pathname (str | None):
the path of the file in the archive, defaults to the source path
recursive (bool):
when False, if a path in `paths` is a directory,
only the directory itself is added.
attributes (dict): passed to `ArchiveEntry.modify()`
Raises:
ArchiveError: if a file doesn't exist or can't be accessed, or if
adding it to the archive fails
"""
write_p = self._pointer
block_size = ffi.write_get_bytes_per_block(write_p)
if block_size <= 0:
block_size = 10240 # pragma: no cover
entry = ArchiveEntry(header_codec=self.header_codec)
entry_p = entry._entry_p
destination_path = attributes.pop('pathname', None)
for path in paths:
with new_archive_read_disk(path, flags, lookup) as read_p:
while 1:
r = read_next_header2(read_p, entry_p)
if r == ARCHIVE_EOF:
break
entry_path = entry.pathname
if destination_path:
if entry_path == path:
entry_path = destination_path
else:
assert entry_path.startswith(path)
entry_path = join(
destination_path,
entry_path[len(path):].lstrip('/')
)
entry.pathname = entry_path.lstrip('/')
if attributes:
entry.modify(**attributes)
read_disk_descend(read_p)
write_header(write_p, entry_p)
if entry.isreg:
with open(entry_sourcepath(entry_p), 'rb') as f:
while 1:
data = f.read(block_size)
if not data:
break
write_data(write_p, data, len(data))
write_finish_entry(write_p)
entry_clear(entry_p)
if not recursive:
break
def add_file(self, path, **kw):
"Single-path alias of `add_files()`"
return self.add_files(path, **kw)
def add_file_from_memory(
self, entry_path, entry_size, entry_data,
filetype=FileType.REGULAR_FILE, permission=0o664,
**other_attributes
):
""""Add file from memory to archive.
Args:
entry_path (str | bytes): the file's path
entry_size (int): the file's size, in bytes
entry_data (bytes | Iterable[bytes]): the file's content
filetype (int): see `libarchive.entry.ArchiveEntry.modify()`
permission (int): see `libarchive.entry.ArchiveEntry.modify()`
other_attributes: see `libarchive.entry.ArchiveEntry.modify()`
"""
archive_pointer = self._pointer
if isinstance(entry_data, bytes):
entry_data = (entry_data,)
elif isinstance(entry_data, str):
raise TypeError(
"entry_data: expected bytes, got %r" % type(entry_data)
)
entry = ArchiveEntry(
pathname=entry_path, size=entry_size, filetype=filetype,
perm=permission, header_codec=self.header_codec,
**other_attributes
)
write_header(archive_pointer, entry._entry_p)
for chunk in entry_data:
if not chunk:
break
write_data(archive_pointer, chunk, len(chunk))
write_finish_entry(archive_pointer)
@contextmanager
def new_archive_write(format_name, filter_name=None, options='', passphrase=None):
archive_p = ffi.write_new()
try:
ffi.get_write_format_function(format_name)(archive_p)
if filter_name:
ffi.get_write_filter_function(filter_name)(archive_p)
if passphrase and 'encryption' not in options:
if format_name == 'zip':
warnings.warn(
"The default encryption scheme of zip archives is weak. "
"Use `options='encryption=$type'` to specify the encryption "
"type you want to use. The supported values are 'zipcrypt' "
"(the weak default), 'aes128' and 'aes256'."
)
options += ',encryption' if options else 'encryption'
if options:
if not isinstance(options, bytes):
options = options.encode('utf-8')
ffi.write_set_options(archive_p, options)
if passphrase:
if not isinstance(passphrase, bytes):
passphrase = passphrase.encode('utf-8')
try:
ffi.write_set_passphrase(archive_p, passphrase)
except AttributeError:
raise NotImplementedError(
f"the libarchive being used (version {ffi.version_number()}, "
f"path {ffi.libarchive_path}) doesn't support encryption"
)
yield archive_p
ffi.write_close(archive_p)
ffi.write_free(archive_p)
except Exception:
ffi.write_fail(archive_p)
ffi.write_free(archive_p)
raise
@property
def bytes_written(self):
return ffi.filter_bytes(self._pointer, -1)
@contextmanager
def custom_writer(
write_func, format_name, filter_name=None,
open_func=None, close_func=None, block_size=page_size,
archive_write_class=ArchiveWrite, options='', passphrase=None,
header_codec='utf-8',
):
"""Create an archive and send it in chunks to the `write_func` function.
For formats and filters, see `WRITE_FORMATS` and `WRITE_FILTERS` in the
`libarchive.ffi` module.
"""
def write_cb_internal(archive_p, context, buffer_, length):
data = cast(buffer_, POINTER(c_char * length))[0]
return write_func(data)
open_cb = OPEN_CALLBACK(open_func) if open_func else NO_OPEN_CB
write_cb = WRITE_CALLBACK(write_cb_internal)
close_cb = CLOSE_CALLBACK(close_func) if close_func else NO_CLOSE_CB
with new_archive_write(format_name, filter_name, options,
passphrase) as archive_p:
ffi.write_set_bytes_in_last_block(archive_p, 1)
ffi.write_set_bytes_per_block(archive_p, block_size)
ffi.write_open(archive_p, None, open_cb, write_cb, close_cb)
yield archive_write_class(archive_p, header_codec)
@contextmanager
def fd_writer(
fd, format_name, filter_name=None,
archive_write_class=ArchiveWrite, options='', passphrase=None,
header_codec='utf-8',
):
"""Create an archive and write it into a file descriptor.
For formats and filters, see `WRITE_FORMATS` and `WRITE_FILTERS` in the
`libarchive.ffi` module.
"""
with new_archive_write(format_name, filter_name, options,
passphrase) as archive_p:
ffi.write_open_fd(archive_p, fd)
yield archive_write_class(archive_p, header_codec)
@contextmanager
def file_writer(
filepath, format_name, filter_name=None,
archive_write_class=ArchiveWrite, options='', passphrase=None,
header_codec='utf-8',
):
"""Create an archive and write it into a file.
For formats and filters, see `WRITE_FORMATS` and `WRITE_FILTERS` in the
`libarchive.ffi` module.
"""
with new_archive_write(format_name, filter_name, options,
passphrase) as archive_p:
ffi.write_open_filename_w(archive_p, filepath)
yield archive_write_class(archive_p, header_codec)
@contextmanager
def memory_writer(
buf, format_name, filter_name=None,
archive_write_class=ArchiveWrite, options='', passphrase=None,
header_codec='utf-8',
):
"""Create an archive and write it into a buffer.
For formats and filters, see `WRITE_FORMATS` and `WRITE_FILTERS` in the
`libarchive.ffi` module.
"""
with new_archive_write(format_name, filter_name, options,
passphrase) as archive_p:
used = byref(c_size_t())
buf_p = cast(buf, c_void_p)
ffi.write_open_memory(archive_p, buf_p, len(buf), used)
yield archive_write_class(archive_p, header_codec)
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4981325
libarchive-c-5.1/libarchive_c.egg-info/ 0000755 0002166 0000144 00000000000 14571615257 017554 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644463.0
libarchive-c-5.1/libarchive_c.egg-info/PKG-INFO 0000644 0002166 0000144 00000012274 14571615257 020657 0 ustar 00changaco users Metadata-Version: 2.1
Name: libarchive-c
Version: 5.1
Summary: Python interface to libarchive
Home-page: https://github.com/Changaco/python-libarchive-c
Author: Changaco
Author-email: changaco@changaco.oy.lc
License: CC0
Keywords: archive libarchive 7z tar bz2 zip gz
Description-Content-Type: text/x-rst
License-File: LICENSE.md
A Python interface to libarchive. It uses the standard ctypes_ module to
dynamically load and access the C library.
.. _ctypes: https://docs.python.org/3/library/ctypes.html
Installation
============
pip install libarchive-c
Compatibility
=============
python
------
python-libarchive-c is currently tested with python 3.8, 3.9, 3.10 and 3.11.
If you find an incompatibility with older versions you can send us a small patch,
but we won't accept big changes.
libarchive
----------
python-libarchive-c may not work properly with obsolete versions of libarchive such as the ones included in MacOS. In that case you can install a recent version of libarchive (e.g. with ``brew install libarchive`` on MacOS) and use the ``LIBARCHIVE`` environment variable to point python-libarchive-c to it::
export LIBARCHIVE=/usr/local/Cellar/libarchive/3.3.3/lib/libarchive.13.dylib
Usage
=====
Import::
import libarchive
Extracting archives
-------------------
To extract an archive, use the ``extract_file`` function::
os.chdir('/path/to/target/directory')
libarchive.extract_file('test.zip')
Alternatively, the ``extract_memory`` function can be used to extract from a buffer,
and ``extract_fd`` from a file descriptor.
The ``extract_*`` functions all have an integer ``flags`` argument which is passed
directly to the C function ``archive_write_disk_set_options()``. You can import
the ``EXTRACT_*`` constants from the ``libarchive.extract`` module and see the
official description of each flag in the ``archive_write_disk(3)`` man page.
By default, when the ``flags`` argument is ``None``, the ``SECURE_NODOTDOT``,
``SECURE_NOABSOLUTEPATHS`` and ``SECURE_SYMLINKS`` flags are passed to
libarchive, unless the current directory is the root (``/``).
Reading archives
----------------
To read an archive, use the ``file_reader`` function::
with libarchive.file_reader('test.7z') as archive:
for entry in archive:
for block in entry.get_blocks():
...
Alternatively, the ``memory_reader`` function can be used to read from a buffer,
``fd_reader`` from a file descriptor, ``stream_reader`` from a stream object
(which must support the standard ``readinto`` method), and ``custom_reader``
from anywhere using callbacks.
To learn about the attributes of the ``entry`` object, see the ``libarchive/entry.py``
source code or run ``help(libarchive.entry.ArchiveEntry)`` in a Python shell.
Displaying progress
~~~~~~~~~~~~~~~~~~~
If your program processes large archives, you can keep track of its progress
with the ``bytes_read`` attribute. Here's an example of a progress bar using
`tqdm `_::
with tqdm(total=os.stat(archive_path).st_size, unit='bytes') as pbar, \
libarchive.file_reader(archive_path) as archive:
for entry in archive:
...
pbar.update(archive.bytes_read - pbar.n)
Creating archives
-----------------
To create an archive, use the ``file_writer`` function::
from libarchive.entry import FileType
with libarchive.file_writer('test.tar.gz', 'ustar', 'gzip') as archive:
# Add the `libarchive/` directory and everything in it (recursively),
# then the `README.rst` file.
archive.add_files('libarchive/', 'README.rst')
# Add a regular file defined from scratch.
data = b'foobar'
archive.add_file_from_memory('../escape-test', len(data), data)
# Add a directory defined from scratch.
early_epoch = (42, 42) # 1970-01-01 00:00:42.000000042
archive.add_file_from_memory(
'metadata-test', 0, b'',
filetype=FileType.DIRECTORY, permission=0o755, uid=4242, gid=4242,
atime=early_epoch, mtime=early_epoch, ctime=early_epoch, birthtime=early_epoch,
)
Alternatively, the ``memory_writer`` function can be used to write to a memory buffer,
``fd_writer`` to a file descriptor, and ``custom_writer`` to a callback function.
For each of those functions, the mandatory second argument is the archive format,
and the optional third argument is the compression format (called “filter” in
libarchive). The acceptable values are listed in ``libarchive.ffi.WRITE_FORMATS``
and ``libarchive.ffi.WRITE_FILTERS``.
File metadata codecs
--------------------
By default, UTF-8 is used to read and write file attributes from and to archives.
A different codec can be specified through the ``header_codec`` arguments of the
``*_reader`` and ``*_writer`` functions. Example::
with libarchive.file_writer('test.tar', 'ustar', header_codec='cp037') as archive:
...
with file_reader('test.tar', header_codec='cp037') as archive:
...
In addition to file paths (``pathname`` and ``linkpath``), the specified codec is
used to encode and decode user and group names (``uname`` and ``gname``).
License
=======
`CC0 Public Domain Dedication `_
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644463.0
libarchive-c-5.1/libarchive_c.egg-info/SOURCES.txt 0000644 0002166 0000144 00000001762 14571615257 021446 0 ustar 00changaco users .gitattributes
.gitignore
LICENSE.md
MANIFEST.in
README.rst
setup.cfg
setup.py
tox.ini
version.py
.github/FUNDING.yml
.github/workflows/main.yml
libarchive/__init__.py
libarchive/entry.py
libarchive/exception.py
libarchive/extract.py
libarchive/ffi.py
libarchive/flags.py
libarchive/read.py
libarchive/write.py
libarchive_c.egg-info/PKG-INFO
libarchive_c.egg-info/SOURCES.txt
libarchive_c.egg-info/dependency_links.txt
libarchive_c.egg-info/top_level.txt
tests/__init__.py
tests/test_atime_mtime_ctime.py
tests/test_convert.py
tests/test_entry.py
tests/test_errors.py
tests/test_rwx.py
tests/test_security_flags.py
tests/data/flags.tar
tests/data/special.tar
tests/data/tar_relative.tar
tests/data/testtar.README
tests/data/testtar.tar
tests/data/testtar.tar.json
tests/data/unicode.tar
tests/data/unicode.tar.json
tests/data/unicode.zip
tests/data/unicode.zip.json
tests/data/unicode2.zip
tests/data/unicode2.zip.json
tests/data/프로그램.README
tests/data/프로그램.zip
tests/data/프로그램.zip.json ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644463.0
libarchive-c-5.1/libarchive_c.egg-info/dependency_links.txt 0000644 0002166 0000144 00000000001 14571615257 023622 0 ustar 00changaco users
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644463.0
libarchive-c-5.1/libarchive_c.egg-info/top_level.txt 0000644 0002166 0000144 00000000013 14571615257 022300 0 ustar 00changaco users libarchive
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4981325
libarchive-c-5.1/setup.cfg 0000644 0002166 0000144 00000000210 14571615257 015262 0 ustar 00changaco users [wheel]
universal = 1
[flake8]
exclude = .?*,env*/
ignore = E226,E731,W504
max-line-length = 85
[egg_info]
tag_build =
tag_date = 0
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1688027638.0
libarchive-c-5.1/setup.py 0000644 0002166 0000144 00000001235 14447240766 015164 0 ustar 00changaco users import os
from os.path import join, dirname
from setuptools import setup, find_packages
from version import get_version
os.umask(0o022)
with open(join(dirname(__file__), 'README.rst'), encoding="utf-8") as f:
README = f.read()
setup(
name='libarchive-c',
version=get_version(),
description='Python interface to libarchive',
author='Changaco',
author_email='changaco@changaco.oy.lc',
url='https://github.com/Changaco/python-libarchive-c',
license='CC0',
packages=find_packages(exclude=['tests']),
long_description=README,
long_description_content_type='text/x-rst',
keywords='archive libarchive 7z tar bz2 zip gz',
)
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4981325
libarchive-c-5.1/tests/ 0000755 0002166 0000144 00000000000 14571615257 014612 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621868945.0
libarchive-c-5.1/tests/__init__.py 0000644 0002166 0000144 00000010311 14052740621 016703 0 ustar 00changaco users from contextlib import closing, contextmanager
from copy import copy
from os import chdir, getcwd, stat, walk
from os.path import abspath, dirname, join
from stat import S_ISREG
import tarfile
try:
from stat import filemode
except ImportError: # Python 2
filemode = tarfile.filemode
from libarchive import file_reader
data_dir = join(dirname(__file__), 'data')
def check_archive(archive, tree):
tree2 = copy(tree)
for e in archive:
epath = str(e).rstrip('/')
assert epath in tree2
estat = tree2.pop(epath)
assert e.mtime == int(estat['mtime'])
if not e.isdir:
size = e.size
if size is not None:
assert size == estat['size']
with open(epath, 'rb') as f:
for block in e.get_blocks():
assert f.read(len(block)) == block
leftover = f.read()
assert not leftover
# Check that there are no missing directories or files
assert len(tree2) == 0
def get_entries(location):
"""
Using the archive file at `location`, return an iterable of name->value
mappings for each libarchive.ArchiveEntry objects essential attributes.
Paths are base64-encoded because JSON is UTF-8 and cannot handle
arbitrary binary pathdata.
"""
with file_reader(location) as arch:
for entry in arch:
# libarchive introduces prefixes such as h prefix for
# hardlinks: tarfile does not, so we ignore the first char
mode = entry.strmode[1:].decode('ascii')
yield {
'path': surrogate_decode(entry.pathname),
'mtime': entry.mtime,
'size': entry.size,
'mode': mode,
'isreg': entry.isreg,
'isdir': entry.isdir,
'islnk': entry.islnk,
'issym': entry.issym,
'linkpath': surrogate_decode(entry.linkpath),
'isblk': entry.isblk,
'ischr': entry.ischr,
'isfifo': entry.isfifo,
'isdev': entry.isdev,
'uid': entry.uid,
'gid': entry.gid
}
def get_tarinfos(location):
"""
Using the tar archive file at `location`, return an iterable of
name->value mappings for each tarfile.TarInfo objects essential
attributes.
Paths are base64-encoded because JSON is UTF-8 and cannot handle
arbitrary binary pathdata.
"""
with closing(tarfile.open(location)) as tar:
for entry in tar:
path = surrogate_decode(entry.path or '')
if entry.isdir() and not path.endswith('/'):
path += '/'
# libarchive introduces prefixes such as h prefix for
# hardlinks: tarfile does not, so we ignore the first char
mode = filemode(entry.mode)[1:]
yield {
'path': path,
'mtime': entry.mtime,
'size': entry.size,
'mode': mode,
'isreg': entry.isreg(),
'isdir': entry.isdir(),
'islnk': entry.islnk(),
'issym': entry.issym(),
'linkpath': surrogate_decode(entry.linkpath or None),
'isblk': entry.isblk(),
'ischr': entry.ischr(),
'isfifo': entry.isfifo(),
'isdev': entry.isdev(),
'uid': entry.uid,
'gid': entry.gid
}
@contextmanager
def in_dir(dirpath):
prev = abspath(getcwd())
chdir(dirpath)
try:
yield
finally:
chdir(prev)
def stat_dict(path):
keys = set(('uid', 'gid', 'mtime'))
mode, _, _, _, uid, gid, size, _, mtime, _ = stat(path)
if S_ISREG(mode):
keys.add('size')
return {k: v for k, v in locals().items() if k in keys}
def treestat(d, stat_dict=stat_dict):
r = {}
for dirpath, dirnames, filenames in walk(d):
r[dirpath] = stat_dict(dirpath)
for fname in filenames:
fpath = join(dirpath, fname)
r[fpath] = stat_dict(fpath)
return r
def surrogate_decode(o):
if isinstance(o, bytes):
return o.decode('utf8', errors='surrogateescape')
return o
././@PaxHeader 0000000 0000000 0000000 00000000034 00000000000 010212 x ustar 00 28 mtime=1709644463.4981325
libarchive-c-5.1/tests/data/ 0000755 0002166 0000144 00000000000 14571615257 015523 5 ustar 00changaco users ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528631099.0
libarchive-c-5.1/tests/data/flags.tar 0000644 0002166 0000144 00000024000 13307207473 017314 0 ustar 00changaco users /tmp/python-libarchive-c-test-absolute-file 0000644 0001750 0001750 00000000000 13106045633 017676 0 ustar neko neko ../python-libarchive-c-test-dot-dot-file 0000644 0001750 0001750 00000000000 13106045633 016766 0 ustar neko neko ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442606.0
libarchive-c-5.1/tests/data/special.tar 0000644 0002166 0000144 00000334000 13017341356 017641 0 ustar 00changaco users 0-REGTYPE 0000644 0001754 0000145 00000007265 10077465401 013372 0 ustar tarfile tarfile 0000000 0000000 GIF87a\` νssscccRRR999))) , \` I8ͻ Z@UZJf*tmx<$` À@dKp`&zx4AX3~4h鈑b{u
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aJ@暮 ; 0-REGTYPE-TEXT 0000644 0001754 0000145 00000046745 10077465401 014162 0 ustar tarfile tarfile 0000000 0000000 PEP: 0
Title: Index of Python Enhancement Proposals (PEPs)
Version: Revision: 1.212
Last-Modified: Date: 2002/09/03 15:58:42
Author: Barry A. Warsaw
Status: Active
Type: Informational
Created: 13-Jul-2000
Post-History:
Introduction
The PEP contains the index of all Python Enhancement Proposals,
known as PEPs. PEP numbers are assigned by the PEP Editor, and
once assigned are never changed. The CVS history[1] of the PEP
texts represent their historical record.
The BDFL maintains his own Pronouncements page[2] at
http://www.python.org/doc/essays/pepparade.html which contains his
musings on the various outstanding PEPs.
Index by Category
num title owner
--- ----- -----
Meta-PEPs (PEPs about PEPs or Process)
I 0 Index of Python Enhancement Proposals Warsaw
I 1 PEP Guidelines Warsaw, Hylton
I 2 Procedure for Adding New Modules Faassen
I 3 Guidelines for Handling Bug Reports Hylton
I 4 Deprecation of Standard Modules von Loewis
I 5 Guidelines for Language Evolution Prescod
I 6 Bug Fix Releases Aahz
I 7 Style Guide for C Code van Rossum
I 8 Style Guide for Python Code van Rossum, Warsaw
I 9 Sample Plaintext PEP Template Warsaw
I 10 Voting Guidelines Warsaw
I 11 Removing support for little used platforms von Loewis
I 12 Sample reStructuredText PEP Template Goodger, Warsaw
Other Informational PEPs
I 101 Doing Python Releases 101 Warsaw, van Rossum
I 102 Doing Python Micro Releases Baxter, Warsaw, van Rossum
IF 247 API for Cryptographic Hash Functions Kuchling
IF 248 Python Database API Specification v1.0 Lemburg
IF 249 Python Database API Specification v2.0 Lemburg
I 257 Docstring Conventions Goodger, van Rossum
IF 272 API for Block Encryption Algorithms v1.0 Kuchling
I 290 Code Migration and Modernization Hettinger
Accepted PEPs (accepted; may not be implemented yet)
S 252 Making Types Look More Like Classes van Rossum
S 253 Subtyping Built-in Types van Rossum
Open PEPs (under consideration)
I 42 Small Feature Requests Hylton
I 206 2.0 Batteries Included Zadka
S 209 Adding Multidimensional Arrays Barrett, Oliphant
S 215 String Interpolation Yee
S 218 Adding a Built-In Set Object Type Wilson
S 228 Reworking Python's Numeric Model Zadka, van Rossum
S 237 Unifying Long Integers and Integers Zadka, van Rossum
S 239 Adding a Rational Type to Python Zadka
S 240 Adding a Rational Literal to Python Zadka
S 242 Numeric Kinds Dubois
S 243 Module Repository Upload Mechanism Reifschneider
S 245 Python Interface Syntax Pelletier
S 246 Object Adaptation Evans
S 254 Making Classes Look More Like Types van Rossum
S 256 Docstring Processing System Framework Goodger
S 258 Docutils Design Specification Goodger
S 262 Database of Installed Python Packages Kuchling
S 265 Sorting Dictionaries by Value Griffin
S 266 Optimizing Global Variable/Attribute Access Montanaro
S 267 Optimized Access to Module Namespaces Hylton
S 268 Extended HTTP functionality and WebDAV Stein
S 269 Pgen Module for Python Riehl
S 270 uniq method for list objects Petrone
S 273 Import Modules from Zip Archives Ahlstrom
S 274 Dict Comprehensions Warsaw
S 275 Switching on Multiple Values Lemburg
S 276 Simple Iterator for ints Althoff
S 277 Unicode file name support for Windows NT Hodgson
S 278 Universal Newline Support Jansen
S 280 Optimizing access to globals van Rossum
S 281 Loop Counter Iteration with range and xrange Hetland
S 282 A Logging System Sajip, Mick
I 283 Python 2.3 Release Schedule van Rossum
S 284 Integer for-loops Eppstein, Ewing
S 286 Enhanced Argument Tuples von Loewis
I 287 reStructuredText Docstring Format Goodger
I 291 Backward Compatibility for Standard Library Norwitz
S 292 Simpler String Substitutions Warsaw
S 294 Type Names in the types Module Tirosh
S 296 Adding a bytes Object Type Gilbert
S 297 Support for System Upgrades Lemburg
S 298 The Locked Buffer Interface Heller
S 299 Special __main__() function in modules Epler
Finished PEPs (done, implemented in CVS)
SF 100 Python Unicode Integration Lemburg
IF 160 Python 1.6 Release Schedule Drake
IF 200 Python 2.0 Release Schedule Hylton
SF 201 Lockstep Iteration Warsaw
SF 202 List Comprehensions Warsaw
SF 203 Augmented Assignments Wouters
S 205 Weak References Drake
SF 207 Rich Comparisons van Rossum, Ascher
SF 208 Reworking the Coercion Model Schemenauer, Lemburg
SF 214 Extended Print Statement Warsaw
SF 217 Display Hook for Interactive Use Zadka
SF 221 Import As Wouters
SF 223 Change the Meaning of \x Escapes Peters
I 226 Python 2.1 Release Schedule Hylton
S 227 Statically Nested Scopes Hylton
SF 229 Using Distutils to Build Python Kuchling
SF 230 Warning Framework van Rossum
SF 232 Function Attributes Warsaw
SF 234 Iterators Yee, van Rossum
SF 235 Import on Case-Insensitive Platforms Peters
SF 236 Back to the __future__ Peters
SF 238 Changing the Division Operator Zadka, van Rossum
SF 241 Metadata for Python Software Packages Kuchling
SF 250 Using site-packages on Windows Moore
IF 251 Python 2.2 Release Schedule Warsaw, van Rossum
SF 255 Simple Generators Schemenauer, et al
SF 260 Simplify xrange() van Rossum
S 261 Support for "wide" Unicode characters Prescod
SF 263 Defining Python Source Code Encodings Lemburg
SF 264 Future statements in simulated shells Hudson
SF 279 The enumerate() built-in function Hettinger
SF 285 Adding a bool type van Rossum
SF 293 Codec Error Handling Callbacks Drwald
Empty PEPs (or containing only an abstract)
SD 210 Decoupling the Interpreter Loop Ascher
ID 220 Coroutines, Generators, Continuations McMillan
Deferred, Abandoned, Withdrawn, and Rejected PEPs
SR 204 Range Literals Wouters
SD 211 Adding A New Outer Product Operator Wilson
SD 212 Loop Counter Iteration Schneider-Kamp
SD 213 Attribute Access Handlers Prescod
IR 216 Docstring Format Zadka
SD 219 Stackless Python McMillan
SD 222 Web Library Enhancements Kuchling
SR 224 Attribute Docstrings Lemburg
SD 225 Elementwise/Objectwise Operators Zhu, Lielens
SR 231 __findattr__() Warsaw
SD 233 Python Online Help Prescod
SR 244 The `directive' Statement von Loewis
SR 259 Omit printing newline after newline van Rossum
SR 271 Prefixing sys.path by command line option Giacometti
SD 288 Generators Attributes and Exceptions Hettinger
SR 289 Generator Comprehensions Hettinger
SR 295 Interpretation of multiline string constants Koltsov
SR 666 Reject Foolish Indentation Creighton
Numerical Index
num title owner
--- ----- -----
I 0 Index of Python Enhancement Proposals Warsaw
I 1 PEP Guidelines Warsaw, Hylton
I 2 Procedure for Adding New Modules Faassen
I 3 Guidelines for Handling Bug Reports Hylton
I 4 Deprecation of Standard Modules von Loewis
I 5 Guidelines for Language Evolution Prescod
I 6 Bug Fix Releases Aahz
I 7 Style Guide for C Code van Rossum
I 8 Style Guide for Python Code van Rossum, Warsaw
I 9 Sample Plaintext PEP Template Warsaw
I 10 Voting Guidelines Warsaw
I 11 Removing support for little used platforms von Loewis
I 12 Sample reStructuredText PEP Template Goodger, Warsaw
I 42 Small Feature Requests Hylton
SF 100 Python Unicode Integration Lemburg
I 101 Doing Python Releases 101 Warsaw, van Rossum
I 102 Doing Python Micro Releases Baxter, Warsaw, van Rossum
IF 160 Python 1.6 Release Schedule Drake
IF 200 Python 2.0 Release Schedule Hylton
SF 201 Lockstep Iteration Warsaw
SF 202 List Comprehensions Warsaw
SF 203 Augmented Assignments Wouters
SR 204 Range Literals Wouters
S 205 Weak References Drake
I 206 2.0 Batteries Included Zadka
SF 207 Rich Comparisons van Rossum, Ascher
SF 208 Reworking the Coercion Model Schemenauer, Lemburg
S 209 Adding Multidimensional Arrays Barrett, Oliphant
SD 210 Decoupling the Interpreter Loop Ascher
SD 211 Adding A New Outer Product Operator Wilson
SD 212 Loop Counter Iteration Schneider-Kamp
SD 213 Attribute Access Handlers Prescod
SF 214 Extended Print Statement Warsaw
SD 215 String Interpolation Yee
IR 216 Docstring Format Zadka
SF 217 Display Hook for Interactive Use Zadka
S 218 Adding a Built-In Set Object Type Wilson
SD 219 Stackless Python McMillan
ID 220 Coroutines, Generators, Continuations McMillan
SF 221 Import As Wouters
SD 222 Web Library Enhancements Kuchling
SF 223 Change the Meaning of \x Escapes Peters
SR 224 Attribute Docstrings Lemburg
SD 225 Elementwise/Objectwise Operators Zhu, Lielens
I 226 Python 2.1 Release Schedule Hylton
S 227 Statically Nested Scopes Hylton
S 228 Reworking Python's Numeric Model Zadka, van Rossum
SF 229 Using Distutils to Build Python Kuchling
SF 230 Warning Framework van Rossum
SR 231 __findattr__() Warsaw
SF 232 Function Attributes Warsaw
SD 233 Python Online Help Prescod
SF 234 Iterators Yee, van Rossum
SF 235 Import on Case-Insensitive Platforms Peters
SF 236 Back to the __future__ Peters
S 237 Unifying Long Integers and Integers Zadka, van Rossum
SF 238 Changing the Division Operator Zadka, van Rossum
S 239 Adding a Rational Type to Python Zadka
S 240 Adding a Rational Literal to Python Zadka
SF 241 Metadata for Python Software Packages Kuchling
S 242 Numeric Kinds Dubois
S 243 Module Repository Upload Mechanism Reifschneider
SR 244 The `directive' Statement von Loewis
S 245 Python Interface Syntax Pelletier
S 246 Object Adaptation Evans
IF 247 API for Cryptographic Hash Functions Kuchling
IF 248 Python Database API Specification v1.0 Lemburg
IF 249 Python Database API Specification v2.0 Lemburg
SF 250 Using site-packages on Windows Moore
IF 251 Python 2.2 Release Schedule Warsaw, van Rossum
S 252 Making Types Look More Like Classes van Rossum
S 253 Subtyping Built-in Types van Rossum
S 254 Making Classes Look More Like Types van Rossum
SF 255 Simple Generators Schemenauer, et al
S 256 Docstring Processing System Framework Goodger
I 257 Docstring Conventions Goodger, van Rossum
S 258 Docutils Design Specification Goodger
SR 259 Omit printing newline after newline van Rossum
SF 260 Simplify xrange() van Rossum
S 261 Support for "wide" Unicode characters Prescod
S 262 Database of Installed Python Packages Kuchling
SF 263 Defining Python Source Code Encodings Lemburg
SF 264 Future statements in simulated shells Hudson
S 265 Sorting Dictionaries by Value Griffin
S 266 Optimizing Global Variable/Attribute Access Montanaro
S 267 Optimized Access to Module Namespaces Hylton
S 268 Extended HTTP functionality and WebDAV Stein
S 269 Pgen Module for Python Riehl
S 270 uniq method for list objects Petrone
SR 271 Prefixing sys.path by command line option Giacometti
IF 272 API for Block Encryption Algorithms v1.0 Kuchling
S 273 Import Modules from Zip Archives Ahlstrom
S 274 Dict Comprehensions Warsaw
S 275 Switching on Multiple Values Lemburg
S 276 Simple Iterator for ints Althoff
S 277 Unicode file name support for Windows NT Hodgson
S 278 Universal Newline Support Jansen
SF 279 The enumerate() built-in function Hettinger
S 280 Optimizing access to globals van Rossum
S 281 Loop Counter Iteration with range and xrange Hetland
S 282 A Logging System Sajip, Mick
I 283 Python 2.3 Release Schedule van Rossum
S 284 Integer for-loops Eppstein, Ewing
SF 285 Adding a bool type van Rossum
S 286 Enhanced Argument Tuples von Loewis
I 287 reStructuredText Docstring Format Goodger
SD 288 Generators Attributes and Exceptions Hettinger
SR 289 Generator Comprehensions Hettinger
I 290 Code Migration and Modernization Hettinger
I 291 Backward Compatibility for Standard Library Norwitz
S 292 Simpler String Substitutions Warsaw
SF 293 Codec Error Handling Callbacks Drwald
S 294 Type Names in the types Module Tirosh
SR 295 Interpretation of multiline string constants Koltsov
S 296 Adding a bytes Object Type Gilbert
S 297 Support for System Upgrades Lemburg
S 298 The Locked Buffer Interface Heller
S 299 Special __main__() function in modules Epler
SR 666 Reject Foolish Indentation Creighton
Key
I - Informational PEP
S - Standards Track PEP
A - Accepted proposal
R - Rejected proposal
D - Deferred proposal
F - Final proposal
Owners
name email address
---------------- -------------
Aahz aahz@pobox.com
Ahlstrom, James C. jim@interet.com
Althoff, Jim james_althoff@i2.com
Ascher, David davida@activestate.com
Barrett, Paul barrett@stsci.edu
Baxter, Anthony anthony@interlink.com.au
Creighton, Laura lac@strakt.com
Drwald, Walter
Drake, Fred fdrake@acm.org
Dubois, Paul F. paul@pfdubois.com
Epler, Jeff jepler@unpythonic.net
Eppstein, David eppstein@ics.uci.edu
Evans, Clark C. cce@clarkevans.com
Ewing, Greg greg@cosc.canterbury.ac.nz
Faassen, Martijn faassen@infrae.com
Giacometti, Frdric B. fred@arakne.com
Gilbert, Scott xscottg at yahoo.com
Goodger, David goodger@users.sourceforge.net
Griffin, Grant g2@iowegian.com
Heller, Thomas theller@python.net
Hetland, Magnus Lie magnus@hetland.org
Hettinger, Raymond D. python@rcn.com
Hodgson, Neil neilh@scintilla.org
Hudson, Michael mwh@python.net
Hylton, Jeremy jeremy@zope.com
Jansen, Jack jack@cwi.nl
Koltsov, Stepan yozh@mx1.ru
Kuchling, Andrew akuchlin@mems-exchange.org
Lemburg, Marc-Andre mal@lemburg.com
Lielens, Gregory gregory.lielens@fft.be
von Loewis, Martin loewis@informatik.hu-berlin.de
Martelli, Alex aleax@aleax.it
McMillan, Gordon gmcm@hypernet.com
Mick, Trent trentm@activestate.com
Montanaro, Skip skip@pobox.com
Moore, Paul gustav@morpheus.demon.co.uk
Norwitz, Neal neal@metaslash.com
Oliphant, Travis oliphant@ee.byu.edu
Pelletier, Michel michel@digicool.com
Peters, Tim tim@digicool.com
Petrone, Jason jp@demonseed.net
Prescod, Paul paul@prescod.net
Reifschneider, Sean jafo-pep@tummy.com
Riehl, Jonathan jriehl@spaceship.com
van Rossum, Guido guido@python.org
Sajip, Vinay vinay_sajip@red-dove.com
Schemenauer, Neil nas@arctrix.com
Schneider-Kamp, Peter nowonder@nowonder.de
Stein, Greg gstein@lyra.org
Tirosh, Oren oren at hishome.net
Warsaw, Barry barry@zope.com
Wilson, Greg gvwilson@ddj.com
Wouters, Thomas thomas@xs4all.net
Yee, Ka-Ping ping@lfw.org
Zadka, Moshe moshez@zadka.site.co.il
Zhu, Huaiyu hzhu@users.sourceforge.net
References
[1] View PEP history online
http://cvs.sf.net/cgi-bin/viewcvs.cgi/python/python/nondist/peps/
[2] The Benevolent Dictator For Life's Parade of PEPs
http://www.python.org/doc/essays/pepparade.html
Local Variables:
mode: indented-text
indent-tabs-mode: nil
sentence-end-double-space: t
fill-column: 70
End:
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libarchive-c-5.1/tests/data/testtar.README 0000644 0002166 0000144 00000000303 13017341356 020052 0 ustar 00changaco users This test file is borrowed from Python codebase and test suite.
This is a trick Tar with several weird and malformed entries:
https://hg.python.org/cpython/file/bff88c866886/Lib/test/testtar.tar
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As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
ustar/regtype 0000644 0001750 0000144 00000015543 07606136617 014774 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
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ustar/umlauts- 0000644 0001750 0000144 00000015543 07606136617 020137 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/1234567/longname0000644 0001750 0000144 00000015543 07606136617 045233 0 ustar 00tarfile tarfile 0000000 0000000 ustar/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
./ustar/linktest2/symtype 0000777 0001750 0000144 00000000000 07606136617 021323 2../linktest1/regtype ustar tarfile tarfile ustar/linktest1/regtype 0000644 0001750 0000144 00000015543 07606136617 015412 0 ustar tarfile tarfile Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
./ustar/linktest2/lnktype 0000644 0001750 0000144 00000000000 07606136617 022347 1./ustar/linktest1/regtype ustar tarfile tarfile symtype2 0000777 0001750 0000144 00000000000 07606136617 016500 2ustar/regtype ustar 00tarfile tarfile 0000000 0000000 ././@LongLink 0000000 0000000 0000000 00000001001 00000000000 011555 L ustar root root gnu/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname gnu/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/0000644 0001750 0000144 00000015543 07606136617 022717 0 ustar tarfile tarfile Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
././@LongLink 0000000 0000000 0000000 00000001001 00000000000 011554 K ustar root root gnu/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname ././@LongLink 0000000 0000000 0000000 00000001001 00000000000 011555 L ustar root root 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20 atime=1169212652
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0000644 00000015543 07606136617 021077 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
misc/regtype-old-v7 644 1750 144 15543 7606136617 007662 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
misc/regtype-hpux-signed-chksum- 0000644 0001750 0000144 00000015543 07606136617 020042 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
misc/regtype-old-v7-signed-chksum- 644 1750 144 15543 7606136617 012151 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
misc/dirtype-old-v7/ 40755 1750 144 0 7606136617 007667 misc/regtype-suntar 0100644 0000145 0000012 00000000036 10550714670 0020273 X ustar 00lars staff 0000040 0000017 /tmp/PaxHeaders.378 30 mtime=1041808783.000000000
misc/regtype-suntar 0100644 0001750 0000144 00000015543 10550714670 0016111 0 ustar 00tarfile tarfile 0000040 0000017 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
misc/regtype-xstar 0000644 0001750 0000144 00000015543 07606136617 0020313 0 ustar 00lars users 0000000 0000000 07606136617 07606136617 tar Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
././@PaxHeader 0000600 0000000 0000000 00000001144 00000000000 0013633 x ustar 00root root 0000000 0000000 30 atime=1041808783.000000000
30 ctime=1041808783.000000000
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As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
././@PaxHeader 0000600 0000000 0000000 00000002162 00000000000 0013634 x ustar 00root root 0000000 0000000 30 atime=1041808783.000000000
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pax/umlauts- 0000644 0001750 0000144 00000015543 07606136617 017571 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
/tmp/GlobalHead.26030.1 0000644 0001750 0000144 00000000073 10552150730 012753 g ustar 00 0000000 0000000 13 gname=bar
13 uname=foo
33 VENDOR.umlauts=ÄÖÜäöüß
pax/regtype1 0000644 0001750 0000144 00000015543 07606136617 014507 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
/tmp/GlobalHead.23988.1 0000644 0001750 0000144 00000000011 10552143626 012774 g ustar 00 0000000 0000000 9 uname=
pax/regtype2 0000644 0001750 0000144 00000015543 07606136617 014510 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
/tmp/GlobalHead.23988.1 0000644 0001750 0000144 00000000042 10552143626 013000 g ustar 00 0000000 0000000 17 uname=tarfile
17 gname=tarfile
pax/regtype3 0000644 0001750 0000144 00000015543 07606136617 014511 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
././@PaxHeader 0000600 0000000 0000000 00000000175 00000000000 013636 x ustar 00root root 0000000 0000000 30 atime=1041808783.000000000
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pax/regtype4 0000644 0001750 0000144 00000000000 00000000000 014755 0 ustar 00tarfile tarfile 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
pax/PaxHeaders.16970/bad-pax- 0000644 0001750 0001750 00000000162 07606136617 015564 x ustar 00 0000000 0000000 24 path=pax/bad-pax-
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pax/bad-pax- 0000644 0001750 0001750 00000015543 07606136617 014520 0 ustar 00lars lars 0000000 0000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
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pax/hdrcharset- 000644 000000 000000 00000015543 07606136617 016433 0 ustar 00tarfile tarfile 000000 000000 Foreword for "Programming Python" (1st ed.)
As Python's creator, I'd like to say a few words about its origins, adding a
bit of personal philosophy.
Over six years ago, in December 1989, I was looking for a "hobby" programming
project that would keep me occupied during the week around Christmas. My office
(a government-run research lab in Amsterdam) would be closed, but I had a home
computer, and not much else on my hands. I decided to write an interpreter for
the new scripting language I had been thinking about lately: a descendant of
ABC that would appeal to Unix/C hackers. I chose Python as a working title for
the project, being in a slightly irreverent mood (and a big fan of Monty
Python's Flying Circus).
Today, I can safely say that Python has changed my life. I have moved to a
different continent. I spend my working days developing large systems in
Python, when I'm not hacking on Python or answering Python-related email. There
are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book.
Frankly, my only unfulfilled wish is to have my picture on the front page of
the New York Times. But before I get carried away daydreaming, here are a few
tidbits from Python's past.
It all started with ABC, a wonderful teaching language that I had helped create
in the early eighties. It was an incredibly elegant and powerful language,
aimed at non-professional programmers. Despite all its elegance and power and
the availability of a free implementation, ABC never became popular in the
Unix/C world. I can only speculate about the reasons, but here's a likely one:
the difficulty of adding new "primitive" operations to ABC. It was a
monolithic, "closed system", with only the most basic I/O operations: read a
string from the console, write a string to the console. I decided not repeat
this mistake in Python.
Besides this intention, I had a number of other ideas for improvement over ABC,
and was eager to try them out. For instance, ABC's powerful data types turned
out to be less efficient than we hoped. There was too much emphasis on
theoretically optimal algorithms, and not enough tuning for common cases. I
also felt that some of ABC's features, aimed at novice programmers, were less
desirable for the (then!) intended audience of experienced Unix/C programmers.
For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some
terminology (e.g. "how-to" instead of "procedure"); and the integrated
structured editor, which its users almost universally hated. Python would rely
more on the Unix infrastructure and conventions, without being Unix-bound. And
in fact, the first implementation was done on a Mac.
As it turned out, Python is remarkably free from many of the hang-ups of
conventional programming languages. This is perhaps due to my choice of
examples: besides ABC, my main influence was Modula-3. This is another language
with remarkable elegance and power, designed by a small, strong-willed team
(most of whom I had met during a summer internship at DEC's Systems Research
Center in Palo Alto). Imagine what Python would have looked like if I had
modelled it after the Unix shell and C instead! (Yes, I borrowed from C too,
but only its least controversial features, in my desire to please the Unix/C
audience.)
Any individual creation has its ideosyncracies, and occasionally its creator
has to justify these. Perhaps Python's most controversial feature is its use of
indentation for statement grouping, which derives directly from ABC. It is one
of the language's features that is dearest to my heart. It makes Python code
more readable in two ways. First, the use of indentation reduces visual clutter
and makes programs shorter, thus reducing the attention span needed to take in
a basic unit of code. Second, it allows the programmer less freedom in
formatting, thereby enabling a more uniform style, which makes it easier to
read someone else's code. (Compare, for instance, the three or four different
conventions for the placement of braces in C, each with strong proponents.)
This emphasis on readability is no accident. As an object-oriented language,
Python aims to encourage the creation of reusable code. Even if we all wrote
perfect documentation all of the time, code can hardly be considered reusable
if it's not readable. Many of Python's features, in addition to its use of
indentation, conspire to make Python code highly readable. This reflects the
philosophy of ABC, which was intended to teach programming in its purest form,
and therefore placed a high value on clarity.
Readability is often enhanced by reducing unnecessary variability. When
possible, there's a single, obvious way to code a particular construct. This
reduces the number of choices facing the programmer who is writing the code,
and increases the chance that will appear familiar to a second programmer
reading it. Yet another contribution to Python's readability is the choice to
use punctuation mostly in a conservative, conventional manner. Most operator
symbols are familiar to anyone with even a vague recollection of high school
math, and no new meanings have to be learned for comic strip curse characters
like @&$!.
I will gladly admit that Python is not the fastest running scripting language.
It is a good runner-up though. With ever-increasing hardware speed, the
accumulated running time of a program during its lifetime is often negligible
compared to the programmer time needed to write and debug it. This, of course,
is where the real savings can be made. While this is hard to assess
objectively, Python is considered a winner in coding time by most who have
tried it. In addition, many consider using Python a pleasure -- a better
recommendation is hard to imagine.
I am solely responsible for Python's strengths and shortcomings, even when some
of the code has been written by others. However, its success is the product of
a community, starting with the early adopters who picked it up when I first
published Python on the net, and who spread the word about it in their own
environment. They sent me their praise, criticism, feature requests, code
contributions, and personal revelations via email. They were willing to discuss
every aspect of Python in the mailing list that I soon set up, and educate me
or nudge me in the right direction where my initial intuition failed me. There
have been too many contributors to thank individually. I'll make one exception,
however: this book's author was one of Python's early adopters and evangelists.
With its publication, his longstanding wish (and mine!) of having a more
accessible description of Python than the standard set of manuals, is
fulfilled.
But enough rambling. I highly recommend this book to anyone interested in
learning Python, whether for personal improvement or as a career enhancement.
Take it away, Eric, the orchestra leader! (If you don't understand this last
sentence, you haven't watched enough Monty Python reruns.)
Guido van Rossum
Reston, VA, May 1996
misc/eof 0000644 0001750 0000144 00000000000 07606136617 012341 0 ustar tarfile tarfile ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528635675.0
libarchive-c-5.1/tests/data/testtar.tar.json 0000644 0002166 0000144 00000040436 13307220433 020660 0 ustar 00changaco users [
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"linkpath": "../linktest1/regtype",
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"mtime": 1041808783,
"path": "./ustar/linktest2/symtype",
"size": 0,
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},
{
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},
{
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"path": "gnu/sparse",
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},
{
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{
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{
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{
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"path": "gnu/regtype-gnu-uid",
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{
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"path": "misc/regtype-old-v7",
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},
{
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"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "misc/regtype-hpux-signed-chksum-\udcc4\udcd6\udcdc\udce4\udcf6\udcfc\udcdf",
"size": 7011,
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},
{
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"linkpath": null,
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"mtime": 1041808783,
"path": "misc/regtype-old-v7-signed-chksum-\udcc4\udcd6\udcdc\udce4\udcf6\udcfc\udcdf",
"size": 7011,
"uid": 1000
},
{
"gid": 100,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": true,
"isfifo": false,
"islnk": false,
"isreg": false,
"issym": false,
"linkpath": null,
"mode": "rwxr-xr-x",
"mtime": 1041808783,
"path": "misc/dirtype-old-v7/",
"size": 0,
"uid": 1000
},
{
"gid": 100,
"isblk": false,
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"isdev": false,
"isdir": false,
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"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "misc/regtype-suntar",
"size": 7011,
"uid": 1000
},
{
"gid": 100,
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"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "misc/regtype-xstar",
"size": 7011,
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},
{
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"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname",
"size": 7011,
"uid": 1000
},
{
"gid": 100,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": true,
"isreg": false,
"issym": false,
"linkpath": "pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname",
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longlink",
"size": 0,
"uid": 1000
},
{
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"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/umlauts-\u00c4\u00d6\u00dc\u00e4\u00f6\u00fc\u00df",
"size": 7011,
"uid": 1000
},
{
"gid": 100,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/regtype1",
"size": 7011,
"uid": 1000
},
{
"gid": 100,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/regtype2",
"size": 7011,
"uid": 1000
},
{
"gid": 100,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/regtype3",
"size": 7011,
"uid": 1000
},
{
"gid": 123,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/regtype4",
"size": 7011,
"uid": 123
},
{
"gid": 1000,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/bad-pax-\udce4\udcf6\udcfc",
"size": 7011,
"uid": 1000
},
{
"gid": 0,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "pax/hdrcharset-\udce4\udcf6\udcfc",
"size": 7011,
"uid": 0
},
{
"gid": 100,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1041808783,
"path": "misc/eof",
"size": 0,
"uid": 1000
}
]
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442606.0
libarchive-c-5.1/tests/data/unicode.tar 0000644 0002166 0000144 00000024000 13017341356 017643 0 ustar 00changaco users 2859/ 0000700 0000764 0001001 00000000000 11647541171 011754 5 ustar Administrator None 2859/Copy of hànzì-somefile.txt 0000700 0000764 0001001 00000000000 11647540772 017716 0 ustar Administrator None 2859/hànzì?-somefile.txt 0000700 0000764 0001001 00000000000 11647540772 016575 0 ustar Administrator None ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528631099.0
libarchive-c-5.1/tests/data/unicode.tar.json 0000644 0002166 0000144 00000002014 13307207473 020617 0 ustar 00changaco users [
{
"gid": 513,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": true,
"isfifo": false,
"islnk": false,
"isreg": false,
"issym": false,
"linkpath": null,
"mode": "rwx------",
"mtime": 1319027321,
"path": "2859/",
"size": 0,
"uid": 500
},
{
"gid": 513,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rwx------",
"mtime": 1319027194,
"path": "2859/Copy of h\u00e0nz\u00ec-somefile.txt",
"size": 0,
"uid": 500
},
{
"gid": 513,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rwx------",
"mtime": 1319027194,
"path": "2859/h\u00e0nz\u00ec?-somefile.txt ",
"size": 0,
"uid": 500
}
] ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442606.0
libarchive-c-5.1/tests/data/unicode.zip 0000644 0002166 0000144 00000001234 13017341356 017663 0 ustar 00changaco users PK
\o< a/UT ~K/=Tux PK
\o< j j a/grün.pngUT s~KKux PNG
IHDR
pHYs ~ tEXtComment * IDATxQ;
@}z.]vB,,L VXsfhvW ٝy 0?V/ת5F]hϜaD = .jYP!A a}Qh6x>bNIvv p| s ؊ZUXOP6O.`Sdj ޛLd`R2Rb`r 94Ki:lFLa- FDMuJǚ29 #"^ }? l[H IENDB`PK
\o< A a/UT ~Kux PK
\o< j j < a/grün.pngUT s~Kux PK ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528631099.0
libarchive-c-5.1/tests/data/unicode.zip.json 0000644 0002166 0000144 00000001224 13307207473 020635 0 ustar 00changaco users [
{
"gid": 1000,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": true,
"isfifo": false,
"islnk": false,
"isreg": false,
"issym": false,
"linkpath": null,
"mode": "rwxr-xr-x",
"mtime": 1268678396,
"path": "a/",
"size": 0,
"uid": 1000
},
{
"gid": 1000,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-r--r--",
"mtime": 1268678259,
"path": "a/gr\u00fcn.png",
"size": 362,
"uid": 1000
}
] ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1480442606.0
libarchive-c-5.1/tests/data/unicode2.zip 0000644 0002166 0000144 00000001174 13017341356 017750 0 ustar 00changaco users PK faNC a/PK
o< j j a/grün.pngPNG
IHDR
pHYs ~ tEXtComment * IDATxQ;
@}z.]vB,,L VXsfhvW ٝy 0?V/ת5F]hϜaD = .jYP!A a}Qh6x>bNIvv p| s ؊ZUXOP6O.`Sdj ޛLd`R2Rb`r 94Ki:lFLa- FDMuJǚ29 #"^ }? l[H IENDB`PK? faNC $ a/
JJPK?
o< j j $ a/grün.png
J5f##PK ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1528631099.0
libarchive-c-5.1/tests/data/unicode2.zip.json 0000644 0002166 0000144 00000001211 13307207473 020713 0 ustar 00changaco users [
{
"gid": 0,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": true,
"isfifo": false,
"islnk": false,
"isreg": false,
"issym": false,
"linkpath": null,
"mode": "rwxrwxr-x",
"mtime": 1381752672,
"path": "a/",
"size": 0,
"uid": 0
},
{
"gid": 0,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-rw-r--",
"mtime": 1268681860,
"path": "a/gru\u0308n.png",
"size": 362,
"uid": 0
}
] ././@PaxHeader 0000000 0000000 0000000 00000000116 00000000000 010213 x ustar 00 56 path=libarchive-c-5.1/tests/data/프로그램.README
22 mtime=1480442606.0
libarchive-c-5.1/tests/data/????.README 0000644 0002166 0000144 00000000267 13017341356 017050 0 ustar 00changaco users Test file from borrowed from
https://github.com/libarchive/libarchive/issues/459
http://libarchive.github.io/google-code/issue-350/comment-0/%ED%94%84%EB%A1%9C%EA%B7%B8%EB%9E%A8.zip
././@PaxHeader 0000000 0000000 0000000 00000000113 00000000000 010210 x ustar 00 53 path=libarchive-c-5.1/tests/data/프로그램.zip
22 mtime=1480442606.0
libarchive-c-5.1/tests/data/????.zip 0000644 0002166 0000144 00000000543 13017341356 016712 0 ustar 00changaco users PK
/H7D hello.txtUT R Rux Hello, World!
PK
H7D!
프로그램.txtUT R Rux 프로그램
PK
/H7D hello.txtUT Rux PK
H7D!
Q 프로그램.txtUT Rux PK ././@PaxHeader 0000000 0000000 0000000 00000000120 00000000000 010206 x ustar 00 58 path=libarchive-c-5.1/tests/data/프로그램.zip.json
22 mtime=1528631099.0
libarchive-c-5.1/tests/data/????.zip.json 0000644 0002166 0000144 00000001244 13307207473 017664 0 ustar 00changaco users [
{
"gid": 502,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-rw-r--",
"mtime": 1390485689,
"path": "hello.txt",
"size": 14,
"uid": 502
},
{
"gid": 502,
"isblk": false,
"ischr": false,
"isdev": false,
"isdir": false,
"isfifo": false,
"islnk": false,
"isreg": true,
"issym": false,
"linkpath": null,
"mode": "rw-rw-r--",
"mtime": 1390485651,
"path": "\ud504\ub85c\uadf8\ub7a8.txt",
"size": 13,
"uid": 502
}
] ././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621868945.0
libarchive-c-5.1/tests/test_atime_mtime_ctime.py 0000644 0002166 0000144 00000011151 14052740621 021661 0 ustar 00changaco users from copy import copy
from os import stat
from libarchive import (file_reader, file_writer, memory_reader, memory_writer)
import pytest
from . import treestat
# NOTE: zip does not support high resolution time data, but pax and others do
def check_atime_ctime(archive, tree, timefmt=int):
tree2 = copy(tree)
for entry in archive:
epath = str(entry).rstrip('/')
assert epath in tree2
estat = tree2.pop(epath)
assert entry.atime == timefmt(estat.st_atime)
assert entry.ctime == timefmt(estat.st_ctime)
def stat_dict(path):
# return the raw stat output, the tuple output only returns ints
return stat(path)
def time_check(time_tuple, timefmt):
seconds, nanos = time_tuple
maths = float(seconds) + float(nanos) / 1000000000.0
return timefmt(maths)
@pytest.mark.parametrize('archfmt,timefmt', [('zip', int), ('pax', float)])
def test_memory_atime_ctime(archfmt, timefmt):
# Collect information on what should be in the archive
tree = treestat('libarchive', stat_dict)
# Create an archive of our libarchive/ directory
buf = bytes(bytearray(1000000))
with memory_writer(buf, archfmt) as archive1:
archive1.add_files('libarchive/')
# Check the data
with memory_reader(buf) as archive2:
check_atime_ctime(archive2, tree, timefmt=timefmt)
@pytest.mark.parametrize('archfmt,timefmt', [('zip', int), ('pax', float)])
def test_file_atime_ctime(archfmt, timefmt, tmpdir):
archive_path = "{0}/test.{1}".format(tmpdir.strpath, archfmt)
# Collect information on what should be in the archive
tree = treestat('libarchive', stat_dict)
# Create an archive of our libarchive/ directory
with file_writer(archive_path, archfmt) as archive:
archive.add_files('libarchive/')
# Read the archive and check that the data is correct
with file_reader(archive_path) as archive:
check_atime_ctime(archive, tree, timefmt=timefmt)
@pytest.mark.parametrize('archfmt,timefmt', [('zip', int), ('pax', float)])
def test_memory_time_setters(archfmt, timefmt):
has_birthtime = archfmt != 'zip'
# Create an archive of our libarchive/ directory
buf = bytes(bytearray(1000000))
with memory_writer(buf, archfmt) as archive1:
archive1.add_files('libarchive/')
atimestamp = (1482144741, 495628118)
mtimestamp = (1482155417, 659017086)
ctimestamp = (1482145211, 536858081)
btimestamp = (1482144740, 495628118)
buf2 = bytes(bytearray(1000000))
with memory_reader(buf) as archive1:
with memory_writer(buf2, archfmt) as archive2:
for entry in archive1:
entry.set_atime(*atimestamp)
entry.set_mtime(*mtimestamp)
entry.set_ctime(*ctimestamp)
if has_birthtime:
entry.set_birthtime(*btimestamp)
archive2.add_entries([entry])
with memory_reader(buf2) as archive2:
for entry in archive2:
assert entry.atime == time_check(atimestamp, timefmt)
assert entry.mtime == time_check(mtimestamp, timefmt)
assert entry.ctime == time_check(ctimestamp, timefmt)
if has_birthtime:
assert entry.birthtime == time_check(btimestamp, timefmt)
@pytest.mark.parametrize('archfmt,timefmt', [('zip', int), ('pax', float)])
def test_file_time_setters(archfmt, timefmt, tmpdir):
has_birthtime = archfmt != 'zip'
# Create an archive of our libarchive/ directory
archive_path = tmpdir.join('/test.{0}'.format(archfmt)).strpath
archive2_path = tmpdir.join('/test2.{0}'.format(archfmt)).strpath
with file_writer(archive_path, archfmt) as archive1:
archive1.add_files('libarchive/')
atimestamp = (1482144741, 495628118)
mtimestamp = (1482155417, 659017086)
ctimestamp = (1482145211, 536858081)
btimestamp = (1482144740, 495628118)
with file_reader(archive_path) as archive1:
with file_writer(archive2_path, archfmt) as archive2:
for entry in archive1:
entry.set_atime(*atimestamp)
entry.set_mtime(*mtimestamp)
entry.set_ctime(*ctimestamp)
if has_birthtime:
entry.set_birthtime(*btimestamp)
archive2.add_entries([entry])
with file_reader(archive2_path) as archive2:
for entry in archive2:
assert entry.atime == time_check(atimestamp, timefmt)
assert entry.mtime == time_check(mtimestamp, timefmt)
assert entry.ctime == time_check(ctimestamp, timefmt)
if has_birthtime:
assert entry.birthtime == time_check(btimestamp, timefmt)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621868945.0
libarchive-c-5.1/tests/test_convert.py 0000644 0002166 0000144 00000001315 14052740621 017667 0 ustar 00changaco users from libarchive import memory_reader, memory_writer
from . import check_archive, treestat
def test_convert():
# Collect information on what should be in the archive
tree = treestat('libarchive')
# Create an archive of our libarchive/ directory
buf = bytes(bytearray(1000000))
with memory_writer(buf, 'gnutar', 'xz') as archive1:
archive1.add_files('libarchive/')
# Convert the archive to another format
buf2 = bytes(bytearray(1000000))
with memory_reader(buf) as archive1:
with memory_writer(buf2, 'zip') as archive2:
archive2.add_entries(archive1)
# Check the data
with memory_reader(buf2) as archive2:
check_archive(archive2, tree)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709476147.0
libarchive-c-5.1/tests/test_entry.py 0000644 0002166 0000144 00000011632 14571104463 017357 0 ustar 00changaco users # -*- coding: utf-8 -*-
from codecs import open
import json
import locale
from os import environ, stat
from os.path import join
import unicodedata
import pytest
from libarchive import memory_reader, memory_writer
from libarchive.entry import ArchiveEntry, ConsumedArchiveEntry, PassedArchiveEntry
from . import data_dir, get_entries, get_tarinfos
text_type = unicode if str is bytes else str # noqa: F821
locale.setlocale(locale.LC_ALL, '')
# needed for sane time stamp comparison
environ['TZ'] = 'UTC'
def test_entry_properties():
buf = bytes(bytearray(1000000))
with memory_writer(buf, 'gnutar') as archive:
archive.add_files('README.rst')
readme_stat = stat('README.rst')
with memory_reader(buf) as archive:
for entry in archive:
assert entry.uid == readme_stat.st_uid
assert entry.gid == readme_stat.st_gid
assert entry.mode == readme_stat.st_mode
assert not entry.isblk
assert not entry.ischr
assert not entry.isdir
assert not entry.isfifo
assert not entry.islnk
assert not entry.issym
assert not entry.linkpath
assert entry.linkpath == entry.linkname
assert entry.isreg
assert entry.isfile
assert not entry.issock
assert not entry.isdev
assert b'rw' in entry.strmode
assert entry.pathname == entry.path
assert entry.pathname == entry.name
def test_check_ArchiveEntry_against_TarInfo():
for name in ('special.tar', 'tar_relative.tar'):
path = join(data_dir, name)
tarinfos = list(get_tarinfos(path))
entries = list(get_entries(path))
for tarinfo, entry in zip(tarinfos, entries):
assert tarinfo == entry
assert len(tarinfos) == len(entries)
def test_check_archiveentry_using_python_testtar():
check_entries(join(data_dir, 'testtar.tar'))
def test_check_archiveentry_with_unicode_and_binary_entries_tar():
check_entries(join(data_dir, 'unicode.tar'))
def test_check_archiveentry_with_unicode_and_binary_entries_zip():
check_entries(join(data_dir, 'unicode.zip'))
def test_check_archiveentry_with_unicode_and_binary_entries_zip2():
check_entries(join(data_dir, 'unicode2.zip'), ignore='mode')
def test_check_archiveentry_with_unicode_entries_and_name_zip():
check_entries(join(data_dir, '\ud504\ub85c\uadf8\ub7a8.zip'))
def check_entries(test_file, regen=False, ignore=''):
ignore = ignore.split()
fixture_file = test_file + '.json'
if regen:
entries = list(get_entries(test_file))
with open(fixture_file, 'w', encoding='UTF-8') as ex:
json.dump(entries, ex, indent=2, sort_keys=True)
with open(fixture_file, encoding='UTF-8') as ex:
expected = json.load(ex)
actual = list(get_entries(test_file))
for e1, e2 in zip(actual, expected):
for key in ignore:
e1.pop(key)
e2.pop(key)
# Normalize all unicode (can vary depending on the system)
for d in (e1, e2):
for key in d:
if isinstance(d[key], text_type):
d[key] = unicodedata.normalize('NFC', d[key])
assert e1 == e2
def test_the_life_cycle_of_archive_entries():
"""Check that `get_blocks` only works on the current entry, and only once.
"""
# Create a test archive in memory
buf = bytes(bytearray(10_000_000))
with memory_writer(buf, 'gnutar') as archive:
archive.add_files(
'README.rst',
'libarchive/__init__.py',
'libarchive/entry.py',
)
# Read multiple entries of the test archive and check how the evolve
with memory_reader(buf) as archive:
archive_iter = iter(archive)
entry1 = next(archive_iter)
assert type(entry1) is ArchiveEntry
for block in entry1.get_blocks():
pass
assert type(entry1) is ConsumedArchiveEntry
with pytest.raises(TypeError):
entry1.get_blocks()
entry2 = next(archive_iter)
assert type(entry2) is ArchiveEntry
assert type(entry1) is PassedArchiveEntry
with pytest.raises(TypeError):
entry1.get_blocks()
entry3 = next(archive_iter)
assert type(entry3) is ArchiveEntry
assert type(entry2) is PassedArchiveEntry
assert type(entry1) is PassedArchiveEntry
def test_non_ASCII_encoding_of_file_metadata():
buf = bytes(bytearray(100_000))
file_name = 'README.rst'
encoded_file_name = 'README.rst'.encode('cp037')
with memory_writer(buf, 'ustar', header_codec='cp037') as archive:
archive.add_file(file_name)
with memory_reader(buf) as archive:
entry = next(iter(archive))
assert entry.pathname == encoded_file_name
with memory_reader(buf, header_codec='cp037') as archive:
entry = next(iter(archive))
assert entry.pathname == file_name
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1621868945.0
libarchive-c-5.1/tests/test_errors.py 0000644 0002166 0000144 00000002266 14052740621 017531 0 ustar 00changaco users from errno import ENOENT
import pytest
from libarchive import ArchiveError, ffi, memory_writer
def test_add_files_nonexistent():
with memory_writer(bytes(bytearray(4096)), 'zip') as archive:
with pytest.raises(ArchiveError) as e:
archive.add_files('nonexistent')
assert e.value.msg
assert e.value.errno == ENOENT
assert e.value.retcode == -25
def test_check_int_logs_warnings(monkeypatch):
calls = []
monkeypatch.setattr(ffi.logger, 'warning', lambda *_: calls.append(1))
archive_p = ffi.write_new()
ffi.check_int(ffi.ARCHIVE_WARN, print, [archive_p])
assert calls == [1]
def test_check_null():
with pytest.raises(ArchiveError) as e:
ffi.check_null(None, print, [])
assert str(e)
def test_error_string_decoding(monkeypatch):
monkeypatch.setattr(ffi, 'error_string', lambda *_: None)
r = ffi._error_string(None)
assert r is None
monkeypatch.setattr(ffi, 'error_string', lambda *_: b'a')
r = ffi._error_string(None)
assert isinstance(r, type(''))
monkeypatch.setattr(ffi, 'error_string', lambda *_: '\xe9'.encode('utf8'))
r = ffi._error_string(None)
assert isinstance(r, bytes)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644414.0
libarchive-c-5.1/tests/test_rwx.py 0000644 0002166 0000144 00000014076 14571615176 017053 0 ustar 00changaco users """Test reading, writing and extracting archives."""
import io
import json
import libarchive
from libarchive.entry import format_time
from libarchive.extract import EXTRACT_OWNER, EXTRACT_PERM, EXTRACT_TIME
from libarchive.write import memory_writer
from unittest.mock import patch
import pytest
from . import check_archive, in_dir, treestat
def test_buffers(tmpdir):
# Collect information on what should be in the archive
tree = treestat('libarchive')
# Create an archive of our libarchive/ directory
buf = bytes(bytearray(1000000))
with libarchive.memory_writer(buf, 'gnutar', 'xz') as archive:
archive.add_files('libarchive/')
# Read the archive and check that the data is correct
with libarchive.memory_reader(buf) as archive:
check_archive(archive, tree)
assert archive.format_name == b'GNU tar format'
assert archive.filter_names == [b'xz']
# Extract the archive in tmpdir and check that the data is intact
with in_dir(tmpdir.strpath):
flags = EXTRACT_OWNER | EXTRACT_PERM | EXTRACT_TIME
libarchive.extract_memory(buf, flags)
tree2 = treestat('libarchive')
assert tree2 == tree
def test_fd(tmpdir):
archive_file = open(tmpdir.strpath+'/test.tar.bz2', 'w+b')
fd = archive_file.fileno()
# Collect information on what should be in the archive
tree = treestat('libarchive')
# Create an archive of our libarchive/ directory
with libarchive.fd_writer(fd, 'gnutar', 'bzip2') as archive:
archive.add_files('libarchive/')
# Read the archive and check that the data is correct
archive_file.seek(0)
with libarchive.fd_reader(fd) as archive:
check_archive(archive, tree)
assert archive.format_name == b'GNU tar format'
assert archive.filter_names == [b'bzip2']
# Extract the archive in tmpdir and check that the data is intact
archive_file.seek(0)
with in_dir(tmpdir.strpath):
flags = EXTRACT_OWNER | EXTRACT_PERM | EXTRACT_TIME
libarchive.extract_fd(fd, flags)
tree2 = treestat('libarchive')
assert tree2 == tree
def test_files(tmpdir):
archive_path = tmpdir.strpath+'/test.tar.gz'
# Collect information on what should be in the archive
tree = treestat('libarchive')
# Create an archive of our libarchive/ directory
with libarchive.file_writer(archive_path, 'ustar', 'gzip') as archive:
archive.add_files('libarchive/')
# Read the archive and check that the data is correct
with libarchive.file_reader(archive_path) as archive:
check_archive(archive, tree)
assert archive.format_name == b'POSIX ustar format'
assert archive.filter_names == [b'gzip']
# Extract the archive in tmpdir and check that the data is intact
with in_dir(tmpdir.strpath):
flags = EXTRACT_OWNER | EXTRACT_PERM | EXTRACT_TIME
libarchive.extract_file(archive_path, flags)
tree2 = treestat('libarchive')
assert tree2 == tree
def test_custom_writer_and_stream_reader():
# Collect information on what should be in the archive
tree = treestat('libarchive')
# Create an archive of our libarchive/ directory
stream = io.BytesIO()
with libarchive.custom_writer(stream.write, 'zip') as archive:
archive.add_files('libarchive/')
stream.seek(0)
# Read the archive and check that the data is correct
with libarchive.stream_reader(stream, 'zip') as archive:
check_archive(archive, tree)
assert archive.format_name == b'ZIP 2.0 (deflation)'
assert archive.filter_names == []
@patch('libarchive.ffi.write_fail')
def test_write_fail(write_fail_mock):
buf = bytes(bytearray(1000000))
try:
with memory_writer(buf, 'gnutar', 'xz') as archive:
archive.add_files('libarchive/')
raise TypeError
except TypeError:
pass
assert write_fail_mock.called
@patch('libarchive.ffi.write_fail')
def test_write_not_fail(write_fail_mock):
buf = bytes(bytearray(1000000))
with memory_writer(buf, 'gnutar', 'xz') as archive:
archive.add_files('libarchive/')
assert not write_fail_mock.called
def test_adding_nonexistent_file_to_archive():
stream = io.BytesIO()
with libarchive.custom_writer(stream.write, 'zip') as archive:
with pytest.raises(libarchive.ArchiveError):
archive.add_files('nonexistent')
archive.add_files('libarchive/')
@pytest.mark.parametrize(
'archfmt,data_bytes',
[('zip', b'content'),
('gnutar', b''),
('pax', json.dumps({'a': 1, 'b': 2, 'c': 3}).encode()),
('7zip', b'lorem\0ipsum')])
def test_adding_entry_from_memory(archfmt, data_bytes):
entry_path = 'testfile.data'
entry_data = data_bytes
entry_size = len(data_bytes)
blocks = []
archfmt = 'zip'
has_birthtime = archfmt != 'zip'
atime = (1482144741, 495628118)
mtime = (1482155417, 659017086)
ctime = (1482145211, 536858081)
btime = (1482144740, 495628118) if has_birthtime else None
def write_callback(data):
blocks.append(data[:])
return len(data)
with libarchive.custom_writer(write_callback, archfmt) as archive:
archive.add_file_from_memory(
entry_path, entry_size, entry_data,
atime=atime, mtime=mtime, ctime=ctime, birthtime=btime,
uid=1000, gid=1000,
)
buf = b''.join(blocks)
with libarchive.memory_reader(buf) as memory_archive:
for archive_entry in memory_archive:
expected = entry_data
actual = b''.join(archive_entry.get_blocks())
assert expected == actual
assert archive_entry.path == entry_path
assert archive_entry.atime in (atime[0], format_time(*atime))
assert archive_entry.mtime in (mtime[0], format_time(*mtime))
assert archive_entry.ctime in (ctime[0], format_time(*ctime))
if has_birthtime:
assert archive_entry.birthtime in (
btime[0], format_time(*btime)
)
assert archive_entry.uid == 1000
assert archive_entry.gid == 1000
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1642872498.0
libarchive-c-5.1/tests/test_security_flags.py 0000644 0002166 0000144 00000001625 14173037262 021242 0 ustar 00changaco users """Test security-related extraction flags."""
import pytest
import os
from libarchive import extract_file, file_reader
from libarchive.extract import (
EXTRACT_SECURE_NOABSOLUTEPATHS, EXTRACT_SECURE_NODOTDOT,
)
from libarchive.exception import ArchiveError
from . import data_dir
def run_test(flags):
archive_path = os.path.join(data_dir, 'flags.tar')
try:
extract_file(archive_path, 0)
with pytest.raises(ArchiveError):
extract_file(archive_path, flags)
finally:
with file_reader(archive_path) as archive:
for entry in archive:
if os.path.exists(entry.pathname):
os.remove(entry.pathname)
def test_extraction_is_secure_by_default():
run_test(None)
def test_explicit_no_dot_dot():
run_test(EXTRACT_SECURE_NODOTDOT)
def test_explicit_no_absolute_paths():
run_test(EXTRACT_SECURE_NOABSOLUTEPATHS)
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1709644394.0
libarchive-c-5.1/tox.ini 0000644 0002166 0000144 00000000436 14571615152 014760 0 ustar 00changaco users [tox]
envlist=py38,py39,py310,py311
skipsdist=True
[testenv]
passenv = LIBARCHIVE
commands=
python -m pytest -Wd -vv --forked --cov libarchive --cov-report term-missing {toxinidir}/tests {posargs}
flake8 {toxinidir}
deps=
flake8
pytest
pytest-cov
pytest-forked
././@PaxHeader 0000000 0000000 0000000 00000000026 00000000000 010213 x ustar 00 22 mtime=1688027638.0
libarchive-c-5.1/version.py 0000644 0002166 0000144 00000002512 14447240766 015510 0 ustar 00changaco users # Source: https://github.com/Changaco/version.py
from os.path import dirname, isdir, join
import re
from subprocess import CalledProcessError, check_output
PREFIX = ''
tag_re = re.compile(r'\btag: %s([0-9][^,]*)\b' % PREFIX)
version_re = re.compile('^Version: (.+)$', re.M)
def get_version():
# Return the version if it has been injected into the file by git-archive
version = tag_re.search('$Format:%D$')
if version:
return version.group(1)
d = dirname(__file__)
if isdir(join(d, '.git')):
# Get the version using "git describe".
cmd = 'git describe --tags --match %s[0-9]* --dirty' % PREFIX
try:
version = check_output(cmd.split()).decode().strip()[len(PREFIX):]
except CalledProcessError:
raise RuntimeError('Unable to get version number from git tags')
# PEP 440 compatibility
if '-' in version:
if version.endswith('-dirty'):
raise RuntimeError('The working tree is dirty')
version = '.post'.join(version.split('-')[:2])
else:
# Extract the version from the PKG-INFO file.
with open(join(d, 'PKG-INFO'), encoding='utf-8', errors='replace') as f:
version = version_re.search(f.read()).group(1)
return version
if __name__ == '__main__':
print(get_version())