PyWavelets-0.5.1/0000755€>SK[€>P0000000000013017376011015555 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/CHANGES.txt0000755€>SK[€>P0000000414413017375740017404 0ustar lee8rxdomain^users00000000000000Changelog unreleased: changes: - most operations now drop the Python GIL to allow efficient threading 0.4.0 changes: - idwt no longer takes a 'correct_size' parameter. - Sizes of the arrays passed to all idwt functions must match exactly. - use 'multilevel.wavecrec' for multilevel transforms 0.3.0 A major refactoring, providing support for Python 3.x while maintaining full backwards compatiblity. Development has moved to https://github.com/PyWavelets/pywt 0.2.2 maintenance release: - resolved setup and build issues - support for compilation using MSVC compiler - updated documentation - moved main repository to GitHub (https://github.com/nigma/pywt) 0.2.0 changes: - 2D Wavelet Packet and Inverse Wavelet Packet Transforms - 2D Stationary Wavelet Transform - Single and double precision computations - DWT and IDWT optimizations - refactored Wavelet Packet code 0.1.6 changes: - argument order changed for wavedec to be more consistent with other functions. Now is (data, wavelet, *mode*, *level*). - added 2D DWT and IDWT (dwt2, idwt2) - added 2D multilevel transform - wavedec2 and waverec2 - added support for Python 2.5 (requires modified Pyrex, see the documentation) - using Python memory management functions instead of C stdlib ones fixes: - rbior wavelets filters corrected 0.1.4 changes: - Wavelet class can be subclassed - requires NumPy, edit numerix.py to use with other numeric modules, array.array is no more directly supported - code cleanup & comments - wavedec and waverec Pyrex code moved to pure Python multilevel.py module - doctesting doc examples fixes: - fixed swt for too high level value - fixed bug in upcoef wrapper code for some take values 0.1.2 changes: - support for custom filter banks - now compiles without numpy installed fixes: - fixed handling of non-contiguous arrays 0.1.0 initial release PyWavelets-0.5.1/demo/0000755€>SK[€>P0000000000013017376010016500 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/demo/batch_processing.py0000755€>SK[€>P0000000657713017375740022422 0ustar lee8rxdomain^users00000000000000""" Demo: Parallel processing accross images Multithreading can be used to run transforms on a set of images in parallel. This will give a net performance benefit if the images to be transformed are sufficiently large. This demo runs a multilevel wavelet decomposition on a list of 32 images, each of size (512, 512). Computations are repeated sequentially and in parallel and the runtimes compared. In general, multithreading will be more beneficial for larger images and for wavelets with a larger filter size. One can also change ``ndim`` to 3 in the code below to use a set of 3D volumes instead. """ import time from functools import partial from multiprocessing import cpu_count try: from concurrent import futures except ImportError: raise ImportError( "This demo requires concurrent.futures. It can be installed for " "for python 2.x via: pip install futures") import numpy as np from numpy.testing import assert_array_equal import pywt # the test image cam = pywt.data.camera().astype(float) ndim = 2 # dimension of images to transform (2 or 3) num_images = 32 # number of images to transform max_workers = cpu_count() # max number of available threads nrepeat = 5 # averages used in the benchmark # create a list of num_images images if ndim == 2: imgs = [cam, ] * num_images wavelet = 'db8' elif ndim == 3: # stack image along 3rd dimension to create a [512 x 512 x 16] 3D volume im3 = np.concatenate([cam[:, :, np.newaxis], ]*16, axis=-1) # create multiple copies of the volume imgs = [im3, ] * num_images wavelet = 'db1' else: ValueError("Only 2D and 3D test cases implemented") # define a function to apply to each image wavedecn_func = partial(pywt.wavedecn, wavelet=wavelet, mode='periodization', level=3) def concurrent_transforms(func, imgs, max_workers=None): """Call func on each img in imgs using a ThreadPoolExecutor.""" executor = futures.ThreadPoolExecutor if max_workers is None: # default to as many workers as available cpus max_workers = cpu_count() results = [] with executor(max_workers=max_workers) as execute: for result in execute.map(func, imgs): results.append(result) return results print("Processing {} images of shape {}".format(len(imgs), imgs[0].shape)) # Sequential computation via a list comprehension tstart = time.time() for n in range(nrepeat): results = [wavedecn_func(img) for img in imgs] t = (time.time()-tstart)/nrepeat print("\nSequential Case") print("\tElapsed time: {:0.2f} ms".format(1000*t)) # Concurrent computation via concurrent.futures tstart = time.time() for n in range(nrepeat): results_concurrent = concurrent_transforms(wavedecn_func, imgs, max_workers=max_workers) t2 = (time.time()-tstart)/nrepeat print("\nMultithreaded Case") print("\tNumber of concurrent workers: {}".format(max_workers)) print("\tElapsed time: {:0.2f} ms".format(1000*t2)) print("\nRelative speedup with concurrent = {}".format(t/t2)) # check a couple of the coefficient arrays to verify matching results for # sequential and multithreaded computation assert_array_equal(results[-1][0], results_concurrent[-1][0]) assert_array_equal(results[-1][1]['d' + 'a'*(ndim-1)], results_concurrent[-1][1]['d' + 'a'*(ndim-1)]) PyWavelets-0.5.1/demo/benchmark.py0000755€>SK[€>P0000000357013017375740021025 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import gc import sys import time import numpy as np import matplotlib.pyplot as plt import pywt if sys.platform == 'win32': clock = time.clock else: clock = time.time sizes = [20, 50, 100, 120, 150, 200, 250, 300, 400, 500, 600, 750, 1000, 2000, 3000, 4000, 5000, 6000, 7500, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000, 150000, 200000, 250000, 300000, 400000, 500000, 600000, 750000, 1000000, 2000000, 5000000][:-4] wavelet_names = ['db1', 'db2', 'db3', 'db4', 'db5', 'db6', 'db7', 'db8', 'db9', 'db10', 'sym10', 'coif1', 'coif2', 'coif3', 'coif4', 'coif5'] wavelets = [pywt.Wavelet(n) for n in wavelet_names] mode = pywt.Modes.zero times_dwt = [[] for i in range(len(wavelets))] times_idwt = [[] for i in range(len(wavelets))] for j, size in enumerate(sizes): data = np.ones((size,), dtype=np.float64) print((("%d/%d" % (j + 1, len(sizes))).rjust(6), str(size).rjust(9))) for i, w in enumerate(wavelets): min_t1, min_t2 = 9999., 9999. for _ in range(5): # Repeat timing 5 times to reduce run-to-run variation t1 = clock() (a, d) = pywt.dwt(data, w, mode) t1 = clock() - t1 min_t1 = min(t1, min_t1) t2 = clock() a0 = pywt.idwt(a, d, w, mode) t2 = clock() - t2 min_t2 = min(t2, min_t2) times_dwt[i].append(min_t1) times_idwt[i].append(min_t2) gc.collect() for j, (times, name) in enumerate([(times_dwt, 'dwt'), (times_idwt, 'idwt')]): fig = plt.figure(j) ax = fig.add_subplot(111) ax.set_title(name) for i, n in enumerate(wavelet_names): ax.loglog(sizes, times[i], label=n) ax.legend(loc='best') ax.set_xlabel('len(x)') ax.set_ylabel('time [s]') plt.show() PyWavelets-0.5.1/demo/cwt_analysis.py0000755€>SK[€>P0000000164613017375740021575 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import pywt time, sst = pywt.data.nino() dt = time[1]-time[0] # Taken from http://nicolasfauchereau.github.io/climatecode/posts/wavelet-analysis-in-python/ wavelet = 'cmor' scales = np.arange(1,128) [cfs,frequencies] = pywt.cwt(sst,scales,wavelet,dt) power = (abs(cfs)) ** 2 period = 1. / frequencies levels = [0.0625, 0.125, 0.25, 0.5, 1, 2, 4, 8] f, ax = plt.subplots(figsize=(15,10)) ax.contourf(time, np.log2(period), np.log2(power), np.log2(levels), extend='both') ax.set_title('%s Wavelet Power Spectrum (%s)' % ('Nino1+2', wavelet)) ax.set_ylabel('Period (years)') Yticks = 2 ** np.arange(np.ceil(np.log2(period.min())), np.ceil(np.log2(period.max()))) ax.set_yticks(np.log2(Yticks)) ax.set_yticklabels(Yticks) ax.invert_yaxis() ylim = ax.get_ylim() ax.set_ylim(ylim[0], -1) plt.show() PyWavelets-0.5.1/demo/dwt2_dwtn_image.py0000755€>SK[€>P0000000330413017375740022144 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import pywt import pywt.data # Load image original = pywt.data.aero() # Wavelet transform of image, and plot approximation and details titles = ['Approximation', ' Horizontal detail', 'Vertical detail', 'Diagonal detail'] coeffs2 = pywt.dwt2(original, 'bior1.3') LL, (LH, HL, HH) = coeffs2 fig = plt.figure() for i, a in enumerate([LL, LH, HL, HH]): ax = fig.add_subplot(2, 2, i + 1) ax.imshow(a, origin='image', interpolation="nearest", cmap=plt.cm.gray) ax.set_title(titles[i], fontsize=12) fig.suptitle("dwt2 coefficients", fontsize=14) # Now reconstruct and plot the original image reconstructed = pywt.idwt2(coeffs2, 'bior1.3') fig = plt.figure() plt.imshow(reconstructed, interpolation="nearest", cmap=plt.cm.gray) # Check that reconstructed image is close to the original np.testing.assert_allclose(original, reconstructed, atol=1e-13, rtol=1e-13) # Now do the same with dwtn/idwtn, to show the difference in their signatures coeffsn = pywt.dwtn(original, 'bior1.3') fig = plt.figure() for i, key in enumerate(['aa', 'ad', 'da', 'dd']): ax = fig.add_subplot(2, 2, i + 1) ax.imshow(coeffsn[key], origin='image', interpolation="nearest", cmap=plt.cm.gray) ax.set_title(titles[i], fontsize=12) fig.suptitle("dwtn coefficients", fontsize=14) # Now reconstruct and plot the original image reconstructed = pywt.idwtn(coeffsn, 'bior1.3') fig = plt.figure() plt.imshow(reconstructed, interpolation="nearest", cmap=plt.cm.gray) # Check that reconstructed image is close to the original np.testing.assert_allclose(original, reconstructed, atol=1e-13, rtol=1e-13) plt.show() PyWavelets-0.5.1/demo/dwt_signal_decomposition.py0000755€>SK[€>P0000000340013017375740024152 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import pywt import pywt.data ecg = pywt.data.ecg() data1 = np.concatenate((np.arange(1, 400), np.arange(398, 600), np.arange(601, 1024))) x = np.linspace(0.082, 2.128, num=1024)[::-1] data2 = np.sin(40 * np.log(x)) * np.sign((np.log(x))) mode = pywt.Modes.smooth def plot_signal_decomp(data, w, title): """Decompose and plot a signal S. S = An + Dn + Dn-1 + ... + D1 """ w = pywt.Wavelet(w) a = data ca = [] cd = [] for i in range(5): (a, d) = pywt.dwt(a, w, mode) ca.append(a) cd.append(d) rec_a = [] rec_d = [] for i, coeff in enumerate(ca): coeff_list = [coeff, None] + [None] * i rec_a.append(pywt.waverec(coeff_list, w)) for i, coeff in enumerate(cd): coeff_list = [None, coeff] + [None] * i rec_d.append(pywt.waverec(coeff_list, w)) fig = plt.figure() ax_main = fig.add_subplot(len(rec_a) + 1, 1, 1) ax_main.set_title(title) ax_main.plot(data) ax_main.set_xlim(0, len(data) - 1) for i, y in enumerate(rec_a): ax = fig.add_subplot(len(rec_a) + 1, 2, 3 + i * 2) ax.plot(y, 'r') ax.set_xlim(0, len(y) - 1) ax.set_ylabel("A%d" % (i + 1)) for i, y in enumerate(rec_d): ax = fig.add_subplot(len(rec_d) + 1, 2, 4 + i * 2) ax.plot(y, 'g') ax.set_xlim(0, len(y) - 1) ax.set_ylabel("D%d" % (i + 1)) plot_signal_decomp(data1, 'coif5', "DWT: Signal irregularity") plot_signal_decomp(data2, 'sym5', "DWT: Frequency and phase change - Symmlets5") plot_signal_decomp(ecg, 'sym5', "DWT: Ecg sample - Symmlets5") plt.show() PyWavelets-0.5.1/demo/dwt_swt_show_coeffs.py0000755€>SK[€>P0000000464513017375740023157 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import pywt import pywt.data ecg = pywt.data.ecg() data1 = np.concatenate((np.arange(1, 400), np.arange(398, 600), np.arange(601, 1024))) x = np.linspace(0.082, 2.128, num=1024)[::-1] data2 = np.sin(40 * np.log(x)) * np.sign((np.log(x))) mode = pywt.Modes.sp1DWT = 1 def plot_coeffs(data, w, title, use_dwt=True): """Show dwt or swt coefficients for given data and wavelet.""" w = pywt.Wavelet(w) a = data ca = [] cd = [] if use_dwt: for i in range(5): (a, d) = pywt.dwt(a, w, mode) ca.append(a) cd.append(d) else: coeffs = pywt.swt(data, w, 5) # [(cA5, cD5), ..., (cA1, cD1)] for a, d in reversed(coeffs): ca.append(a) cd.append(d) fig = plt.figure() ax_main = fig.add_subplot(len(ca) + 1, 1, 1) ax_main.set_title(title) ax_main.plot(data) ax_main.set_xlim(0, len(data) - 1) for i, x in enumerate(ca): ax = fig.add_subplot(len(ca) + 1, 2, 3 + i * 2) ax.plot(x, 'r') ax.set_ylabel("A%d" % (i + 1)) if use_dwt: ax.set_xlim(0, len(x) - 1) else: ax.set_xlim(w.dec_len * i, len(x) - 1 - w.dec_len * i) for i, x in enumerate(cd): ax = fig.add_subplot(len(cd) + 1, 2, 4 + i * 2) ax.plot(x, 'g') ax.set_ylabel("D%d" % (i + 1)) # Scale axes ax.set_xlim(0, len(x) - 1) if use_dwt: ax.set_ylim(min(0, 1.4 * min(x)), max(0, 1.4 * max(x))) else: vals = x[w.dec_len * (1 + i):len(x) - w.dec_len * (1 + i)] ax.set_ylim(min(0, 2 * min(vals)), max(0, 2 * max(vals))) # Show DWT coefficients use_dwt = True plot_coeffs(data1, 'db1', "DWT: Signal irregularity shown in D1 - Haar wavelet", use_dwt) plot_coeffs(data2, 'sym5', "DWT: Frequency and phase change - Symmlets5", use_dwt) plot_coeffs(ecg, 'sym5', "DWT: Ecg sample - Symmlets5", use_dwt) # Show DWT coefficients use_dwt = False plot_coeffs(data1, 'db1', "SWT: Signal irregularity detection - Haar wavelet", use_dwt) plot_coeffs(data2, 'sym5', "SWT: Frequency and phase change - Symmlets5", use_dwt) plot_coeffs(ecg, 'sym5', "SWT: Ecg sample - simple QRS detection - Symmlets5", use_dwt) plt.show() PyWavelets-0.5.1/demo/image_blender.py0000755€>SK[€>P0000001553513017375740021654 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """ Wavelet Image Blender. Blend image A with texture extracted from image B by selecting detail coefficients: ----------------- ----------------- | | | | | | | | | | | | | A | | B | | | | | | | | | | | | | ----------------- ----------------- | | 2D DWT | 2D DWT | V V ----------------- --------- ----------------- | | | | | | | | A(LL) | H(LH) | | H(LH) | | | | | | | | IDWT | | ----------------- + ----------------- -----> | C | | | | | | | | | | V(HL) | D(HH) | | V(HL) | D(HH) | | | | | | | | | | | ----------------- ----------------- ----------------- (details only) """ import optparse import os import sys if os.name == 'nt': from time import clock # noqa else: from time import time as clock # noqa from PIL import Image # PIL import numpy # http://www.scipy.org import pywt def image2array(image): """PIL Image to NumPy array""" assert image.mode in ('L', 'RGB', 'CMYK') arr = numpy.fromstring(image.tobytes(), numpy.uint8) arr.shape = (image.size[1], image.size[0], len(image.getbands())) return arr.swapaxes(0, 2).swapaxes(1, 2).astype(numpy.float32) def array2image(arr, mode): """NumPy array to PIL Image""" arr = arr.swapaxes(1, 2).swapaxes(0, 2) arr[arr < 0] = 0 arr[arr > 255] = 255 arr = numpy.fix(arr).astype(numpy.uint8) return Image.frombytes(mode, arr.shape[1::-1], arr.tobytes()) def load_image(path, mode=None, size=None): """Load image""" im = Image.open(path) if im.mode not in ('L', 'P', 'RGB', 'CMYK'): raise TypeError("Image mode must be 'L', 'P', 'RGB' or 'CMYK'") if mode is not None: if mode == 'P': raise ValueError("Mode must be 'L', 'RGB' or 'CMYK'") im = im.convert(mode) elif im.mode == 'P': im = im.convert('RGB') if size is not None and im.size != size: im = im.resize(size, Image.ANTIALIAS) return im def blend_images(base, texture, wavelet, level, mode='smooth', base_gain=None, texture_gain=None): """Blend loaded images at `level` of granularity using `wavelet`""" base_data = image2array(base) texture_data = image2array(texture) output_data = [] # process color bands for base_band, texture_band in zip(base_data, texture_data): # multilevel dwt base_band_coeffs = pywt.wavedec2(base_band, wavelet, mode, level) texture_band_coeffs = pywt.wavedec2(texture_band, wavelet, mode, level) # average coefficients of base image output_band_coeffs = [base_band_coeffs[0]] # cA del base_band_coeffs[0], texture_band_coeffs[0] # blend details coefficients for n, (base_band_details, texture_band_details) in enumerate( zip(base_band_coeffs, texture_band_coeffs)): blended_details = [] for (base_detail, texture_detail) in zip(base_band_details, texture_band_details): if base_gain is not None: base_detail *= base_gain if texture_gain is not None: texture_detail *= texture_gain # select coeffs with greater energy blended = numpy.where(abs(base_detail) > abs(texture_detail), base_detail, texture_detail) blended_details.append(blended) base_band_coeffs[n] = texture_band_coeffs[n] = None output_band_coeffs.append(blended_details) # multilevel idwt new_band = pywt.waverec2(output_band_coeffs, wavelet, mode) output_data.append(new_band) del new_band, base_band_coeffs, texture_band_coeffs del base_data, texture_data output_data = numpy.array(output_data) return array2image(output_data, base.mode) def main(): usage = "usage: %prog -b BASE -t TEXTURE -o OUTPUT "\ "[-w WAVELET] [-l LEVEL] [-m MODE]" parser = optparse.OptionParser(usage=usage) parser.add_option("-b", "--base", dest="base", metavar="BASE", help="base image name") parser.add_option("-t", "--texture", dest="texture", metavar="TEXTURE", help="texture image name") parser.add_option("-o", "--output", dest="output", metavar="OUTPUT", help="output image name") parser.add_option("-w", "--wavelet", dest="wavelet", metavar="WAVELET", default='db2', help="wavelet name [default: %default]") parser.add_option("-l", "--level", dest="level", metavar="LEVEL", type="int", default=4, help="decomposition level [default: %default]") parser.add_option("-m", "--mode", dest="mode", metavar="MODE", default='symmetric', help="decomposition mode. Adjust this if" " getting edge artifacts [default: %default]") parser.add_option("-x", "--base_gain", dest="base_gain", metavar="BG", type="float", default=None, help="Base image gain [default: %default]") parser.add_option("-y", "--texture_gain", dest="texture_gain", metavar="TG", type="float", default=None, help="Texture image gain [default: %default]") parser.add_option("--timeit", dest="timeit", action="store_true", default=False, help="time blending operations") (options, args) = parser.parse_args() if None in (options.base, options.texture, options.output): parser.print_help() sys.exit(-1) base = load_image(options.base) texture = load_image(options.texture, base.mode, base.size) if options.timeit: t = clock() im = blend_images(base, texture, options.wavelet, options.level, options.mode, options.base_gain, options.texture_gain) if options.timeit: print("%.3fs" % (clock() - t)) im.save(options.output) if __name__ == '__main__': main() PyWavelets-0.5.1/demo/plot_wavelets.py0000755€>SK[€>P0000000514013017375740021756 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- # Plot scaling and wavelet functions for db, sym, coif, bior and rbio families import itertools import matplotlib.pyplot as plt import pywt plot_data = [('db', (4, 3)), ('sym', (4, 3)), ('coif', (3, 2))] for family, (rows, cols) in plot_data: fig = plt.figure() fig.subplots_adjust(hspace=0.2, wspace=0.2, bottom=.02, left=.06, right=.97, top=.94) colors = itertools.cycle('bgrcmyk') wnames = pywt.wavelist(family) i = iter(wnames) for col in range(cols): for row in range(rows): try: wavelet = pywt.Wavelet(next(i)) except StopIteration: break phi, psi, x = wavelet.wavefun(level=5) color = next(colors) ax = fig.add_subplot(rows, 2 * cols, 1 + 2 * (col + row * cols)) ax.set_title(wavelet.name + " phi") ax.plot(x, phi, color) ax.set_xlim(min(x), max(x)) ax = fig.add_subplot(rows, 2*cols, 1 + 2*(col + row*cols) + 1) ax.set_title(wavelet.name + " psi") ax.plot(x, psi, color) ax.set_xlim(min(x), max(x)) for family, (rows, cols) in [('bior', (4, 3)), ('rbio', (4, 3))]: fig = plt.figure() fig.subplots_adjust(hspace=0.5, wspace=0.2, bottom=.02, left=.06, right=.97, top=.94) colors = itertools.cycle('bgrcmyk') wnames = pywt.wavelist(family) i = iter(wnames) for col in range(cols): for row in range(rows): try: wavelet = pywt.Wavelet(next(i)) except StopIteration: break phi, psi, phi_r, psi_r, x = wavelet.wavefun(level=5) row *= 2 color = next(colors) ax = fig.add_subplot(2*rows, 2*cols, 1 + 2*(col + row*cols)) ax.set_title(wavelet.name + " phi") ax.plot(x, phi, color) ax.set_xlim(min(x), max(x)) ax = fig.add_subplot(2*rows, 2*cols, 2*(1 + col + row*cols)) ax.set_title(wavelet.name + " psi") ax.plot(x, psi, color) ax.set_xlim(min(x), max(x)) row += 1 ax = fig.add_subplot(2*rows, 2*cols, 1 + 2*(col + row*cols)) ax.set_title(wavelet.name + " phi_r") ax.plot(x, phi_r, color) ax.set_xlim(min(x), max(x)) ax = fig.add_subplot(2*rows, 2*cols, 1 + 2*(col + row*cols) + 1) ax.set_title(wavelet.name + " psi_r") ax.plot(x, psi_r, color) ax.set_xlim(min(x), max(x)) plt.show() PyWavelets-0.5.1/demo/swt2.py0000755€>SK[€>P0000000130613017375740017765 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import matplotlib.pyplot as plt import pywt import pywt.data arr = pywt.data.aero() plt.imshow(arr, interpolation="nearest", cmap=plt.cm.gray) level = 0 titles = ['Approximation', ' Horizontal detail', 'Vertical detail', 'Diagonal detail'] for LL, (LH, HL, HH) in pywt.swt2(arr, 'bior1.3', level=3, start_level=0): fig = plt.figure() for i, a in enumerate([LL, LH, HL, HH]): ax = fig.add_subplot(2, 2, i + 1) ax.imshow(a, origin='image', interpolation="nearest", cmap=plt.cm.gray) ax.set_title(titles[i], fontsize=12) fig.suptitle("SWT2 coefficients, level %s" % level, fontsize=14) level += 1 plt.show() PyWavelets-0.5.1/demo/waveinfo.py0000755€>SK[€>P0000000364513017375740020714 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import sys import matplotlib.pyplot as plt import numpy as np import pywt usage = """ Usage: python waveinfo.py waveletname Example: python waveinfo.py 'sym5' """ try: wavelet = pywt.Wavelet(sys.argv[1]) try: level = int(sys.argv[2]) except IndexError as e: level = 10 except ValueError as e: print("Unknown wavelet") raise SystemExit except IndexError as e: print(usage) raise SystemExit data = wavelet.wavefun(level) if len(data) == 2: x = data[1] psi = data[0] fig = plt.figure() if wavelet.complex_cwt: plt.subplot(211) plt.title(wavelet.name+' real part') mi, ma = np.real(psi).min(), np.real(psi).max() margin = (ma - mi) * 0.05 plt.plot(x,np.real(psi)) plt.ylim(mi - margin, ma + margin) plt.xlim(x[0], x[-1]) plt.subplot(212) plt.title(wavelet.name+' imag part') mi, ma = np.imag(psi).min(), np.imag(psi).max() margin = (ma - mi) * 0.05 plt.plot(x,np.imag(psi)) plt.ylim(mi - margin, ma + margin) plt.xlim(x[0], x[-1]) else: mi, ma = psi.min(), psi.max() margin = (ma - mi) * 0.05 plt.plot(x,psi) plt.title(wavelet.name) plt.ylim(mi - margin, ma + margin) plt.xlim(x[0], x[-1]) else: funcs, x = data[:-1], data[-1] labels = ["scaling function (phi)", "wavelet function (psi)", "r. scaling function (phi)", "r. wavelet function (psi)"] colors = ("r", "g", "r", "g") fig = plt.figure() for i, (d, label, color) in enumerate(zip(funcs, labels, colors)): mi, ma = d.min(), d.max() margin = (ma - mi) * 0.05 ax = fig.add_subplot((len(data) - 1) // 2, 2, 1 + i) ax.plot(x, d, color) ax.set_title(label) ax.set_ylim(mi - margin, ma + margin) ax.set_xlim(x[0], x[-1]) plt.show() PyWavelets-0.5.1/demo/wp_2d.py0000755€>SK[€>P0000000243613017375740020106 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from pywt import WaveletPacket2D import pywt.data arr = pywt.data.aero() wp2 = WaveletPacket2D(arr, 'db2', 'symmetric', maxlevel=2) # Show original figure plt.imshow(arr, interpolation="nearest", cmap=plt.cm.gray) path = ['d', 'v', 'h', 'a'] # Show level 1 nodes fig = plt.figure() for i, p2 in enumerate(path): ax = fig.add_subplot(2, 2, i + 1) ax.imshow(np.sqrt(np.abs(wp2[p2].data)), origin='image', interpolation="nearest", cmap=plt.cm.gray) ax.set_title(p2) # Show level 2 nodes for p1 in path: fig = plt.figure() for i, p2 in enumerate(path): ax = fig.add_subplot(2, 2, i + 1) p1p2 = p1 + p2 ax.imshow(np.sqrt(np.abs(wp2[p1p2].data)), origin='image', interpolation="nearest", cmap=plt.cm.gray) ax.set_title(p1p2) fig = plt.figure() i = 1 for row in wp2.get_level(2, 'freq'): for node in row: ax = fig.add_subplot(len(row), len(row), i) ax.set_title("%s=(%s row, %s col)" % ( (node.path,) + wp2.expand_2d_path(node.path))) ax.imshow(np.sqrt(np.abs(node.data)), origin='image', interpolation="nearest", cmap=plt.cm.gray) i += 1 plt.show() PyWavelets-0.5.1/demo/wp_scalogram.py0000755€>SK[€>P0000000262713017375740021553 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import pywt x = np.linspace(0, 1, num=512) data = np.sin(250 * np.pi * x**2) wavelet = 'db2' level = 4 order = "freq" # other option is "normal" interpolation = 'nearest' cmap = plt.cm.cool # Construct wavelet packet wp = pywt.WaveletPacket(data, wavelet, 'symmetric', maxlevel=level) nodes = wp.get_level(level, order=order) labels = [n.path for n in nodes] values = np.array([n.data for n in nodes], 'd') values = abs(values) # Show signal and wavelet packet coefficients fig = plt.figure() fig.subplots_adjust(hspace=0.2, bottom=.03, left=.07, right=.97, top=.92) ax = fig.add_subplot(2, 1, 1) ax.set_title("linchirp signal") ax.plot(x, data, 'b') ax.set_xlim(0, x[-1]) ax = fig.add_subplot(2, 1, 2) ax.set_title("Wavelet packet coefficients at level %d" % level) ax.imshow(values, interpolation=interpolation, cmap=cmap, aspect="auto", origin="lower", extent=[0, 1, 0, len(values)]) ax.set_yticks(np.arange(0.5, len(labels) + 0.5), labels) # Show spectrogram and wavelet packet coefficients fig2 = plt.figure() ax2 = fig2.add_subplot(211) ax2.specgram(data, NFFT=64, noverlap=32, cmap=cmap) ax2.set_title("Spectrogram of signal") ax3 = fig2.add_subplot(212) ax3.imshow(values, origin='upper', extent=[-1, 1, -1, 1], interpolation='nearest') ax3.set_title("Wavelet packet coefficients") plt.show() PyWavelets-0.5.1/demo/wp_visualize_coeffs_distribution.py0000755€>SK[€>P0000000151013017375740025730 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import os import numpy as np import matplotlib.pyplot as plt from pywt import WaveletPacket import pywt.data ecg = pywt.data.ecg() wp = WaveletPacket(ecg, 'sym5', maxlevel=4) fig = plt.figure() plt.set_cmap('bone') ax = fig.add_subplot(wp.maxlevel + 1, 1, 1) ax.plot(ecg, 'k') ax.set_xlim(0, len(ecg) - 1) ax.set_title("Wavelet packet coefficients") for level in range(1, wp.maxlevel + 1): ax = fig.add_subplot(wp.maxlevel + 1, 1, level + 1) nodes = wp.get_level(level, "freq") nodes.reverse() labels = [n.path for n in nodes] values = -abs(np.array([n.data for n in nodes])) ax.imshow(values, interpolation='nearest', aspect='auto') ax.set_yticks(np.arange(len(labels) - 0.5, -0.5, -1), labels) plt.setp(ax.get_xticklabels(), visible=False) plt.show() PyWavelets-0.5.1/demo/_dwt_decompose.c0000755€>SK[€>P0000000234213017375740021654 0ustar lee8rxdomain^users00000000000000/* * Note: this currently doesn't get installed. There's also no way to query * the location of wt.h. Conclusion: there is no C API. */ #include #include "wt.h" int main(){ // Using C API to decompose 1D signal. // Results equivalent to pywt.dwt([1,2,3,4,5,6,7,8], 'db2', 'zpd'). // Compile: gcc -I../src dwt_decompose.c ../src/wt.c ../src/wavelets.c ../src/common.c ../src/convolution.c Wavelet *w = wavelet('d', 2); MODE mode = MODE_ZEROPAD; int i; float input[] = {1,2,3,4,5,6,7,8,9}; float *cA, *cD; pywt_index_t input_len, output_len; input_len = sizeof input / sizeof input[0]; output_len = dwt_buffer_length(input_len, w->dec_len, mode); cA = wtcalloc(output_len, sizeof(float)); cD = wtcalloc(output_len, sizeof(float)); printf("Wavelet: %s %d\n\n", w->family_name, w->vanishing_moments_psi); float_dec_a(input, input_len, w, cA, output_len, mode); float_dec_d(input, input_len, w, cD, output_len, mode); for(i=0; iSK[€>P0000000000013017376010016321 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/doc/doc2html.bat0000755€>SK[€>P0000000005513017375740020541 0ustar lee8rxdomain^users00000000000000sphinx-build -b html -a -E source build\html PyWavelets-0.5.1/doc/make.bat0000755€>SK[€>P0000000617413017375740017752 0ustar lee8rxdomain^users00000000000000@ECHO OFF REM Command file for Sphinx documentation set SPHINXBUILD=sphinx-build set BUILDDIR=build set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% source if NOT "%PAPER%" == "" ( set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% ) if "%1" == "" goto help if "%1" == "help" ( :help echo.Please use `make ^` where ^ is one of echo. html to make standalone HTML files echo. dirhtml to make HTML files named index.html in directories echo. pickle to make pickle files echo. json to make JSON files echo. htmlhelp to make HTML files and a HTML help project echo. qthelp to make HTML files and a qthelp project echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter echo. changes to make an overview over all changed/added/deprecated items echo. linkcheck to check all external links for integrity echo. doctest to run all doctests embedded in the documentation if enabled goto end ) if "%1" == "clean" ( for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i del /q /s %BUILDDIR%\* goto end ) if "%1" == "html" ( %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html echo. echo.Build finished. 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PyWavelets-0.5.1/doc/release/0000755€>SK[€>P0000000000013017376010017741 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/doc/release/0.3.0-notes.rst0000755€>SK[€>P0000001451313017375740022277 0ustar lee8rxdomain^users00000000000000============================== PyWavelets 0.3.0 Release Notes ============================== .. contents:: PyWavelets 0.3.0 is the first release of the package in 3 years. It is the result of a significant effort of a growing development team to modernize the package, to provide Python 3.x support and to make a start with providing new features as well as improved performance. A 0.4.0 release will follow shortly, and will contain more significant new features as well as changes/deprecations to streamline the API. This release requires Python 2.6, 2.7 or 3.3-3.5 and NumPy 1.6.2 or greater. Highlights of this release include: - Support for Python 3.x (>=3.3) - Added a test suite (based on nose, coverage up to 61% so far) - Maintenance work: C style complying to the Numpy style guide, improved templating system, more complete docstrings, pep8/pyflakes compliance, and more. New features ============ Test suite ---------- The test suite can be run with ``nosetests pywt`` or with:: >>> import pywt >>> pywt.test() n-D Inverse Discrete Wavelet Transform -------------------------------------- The function ``pywt.idwtn``, which provides n-dimensional inverse DWT, has been added. It complements ``idwt``, ``idwt2`` and ``dwtn``. Thresholding ------------ The function `pywt.threshold` has been added. It unifies the four thresholding functions that are still provided in the ``pywt.thresholding`` namespace. Backwards incompatible changes ============================== None in this release. Other changes ============= Development has moved to `a new repo `_. Everyone with an interest in wavelets is welcome to contribute! Building wheels, building with ``python setup.py develop`` and many other standard ways to build and install PyWavelets are supported now. Authors ======= * Ankit Agrawal + * FranΓ§ois Boulogne + * Ralf Gommers + * David MenΓ©ndez Hurtado + * Gregory R. Lee + * David McInnis + * Helder Oliveira + * Filip Wasilewski * Kai Wohlfahrt + A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. Issues closed for v0.3.0 ------------------------ - `#3 `__: Remove numerix compat layer - `#4 `__: Add single code base Python 3 support - `#5 `__: PEP8 issues - `#6 `__: Migrate tests to nose - `#7 `__: Expand test coverage without Matlab to a reasonable level - `#8 `__: Replace custom C templates by Numpy's templating system - `#9 `__: Replace Cython templates by fused types - `#10 `__: Replace use of __array_interface__ with Cython's memoryviews - `#11 `__: Format existing docstrings in numpydoc format. - `#12 `__: Complete docstrings, they're quite sparse right now - `#13 `__: Reorganize source tree - `#24 `__: doc/source/regression should be moved - `#27 `__: Broken test: test_swt_decomposition - `#28 `__: Install issue, no module tools.six - `#29 `__: wp.update fails after removal of nodes - `#32 `__: wp.update fails on 2D - `#34 `__: Wavelet string attributes shouldn't be bytes in Python 3 - `#35 `__: Re-enable float32 support - `#36 `__: wavelet instance vs string - `#40 `__: Test with Numpy 1.8rc1 - `#45 `__: demos should be updated and integrated in docs - `#60 `__: Moving pywt forward faster - `#61 `__: issues to address in moving towards 0.3.0 - `#71 `__: BUG: _pywt.downcoef always returns level=1 result Pull requests for v0.3.0 ------------------------ - `#1 `__: travis: check all branches + fix URL - `#17 `__: [DOC] doctrings for multilevel functions - `#18 `__: DOC: format -> functions.py - `#20 `__: MAINT: remove unnecessary zero() copy() - `#21 `__: Doc wavelet_packets - `#22 `__: Minor doc fixes - `#25 `__: TEST: remove useless functions and use numpy instead - `#26 `__: Merge most recent work - `#30 `__: Adding test for wp.rst - `#41 `__: Change to Numpy templating system - `#43 `__: MAINT: update six.py to not use lazy loading. - `#49 `__: Taking on API Issues - `#50 `__: Add idwtn - `#53 `__: readme updated with info related to Py3 version - `#63 `__: Remove six - `#65 `__: Thresholding - `#70 `__: MAINT: PEP8 fixes - `#72 `__: BUG: fix _downcoef for level > 1 - `#73 `__: MAINT: documentation and metadata update for repo fork - `#74 `__: STY: fix pep8/pyflakes issues - `#77 `__: MAINT: raise ValueError if data given to dwt or idwt is not 1D... PyWavelets-0.5.1/doc/release/0.4.0-notes.rst0000755€>SK[€>P0000001602713017375740022302 0ustar lee8rxdomain^users00000000000000============================== PyWavelets 0.4.0 Release Notes ============================== .. contents:: PyWavelets 0.4.0 is the culmination of 6 months of work. In addition to several new features, some changes and deprecations have been made to streamline the API. This release requires Python 2.6, 2.7 or 3.3-3.5 and NumPy 1.6.2 or greater. Highlights of this release include: - 1D and 2D inverse stationary wavelet transforms - Substantially faster 2D and nD discrete wavelet transforms - Complex number support - nD versions of the multilevel DWT and IDWT New features ============ 1D and 2D inverse stationary wavelet transforms ----------------------------------------------- 1D (``iswt``) and 2D (``iswt2``) inverse stationary wavelet transforms were added. These currently only support even length inputs. Faster 2D and nD wavelet transforms ----------------------------------- The multidimensional DWT and IDWT code was refactored and is now an order of magnitude faster than in previous releases. The following functions benefit: ``dwt2``, ``idwt2``, ``dwtn``, ``idwtn``. Complex floating point support ------------------------------ 64 and 128-bit complex data types are now supported by all wavelet transforms. nD implementation of the multilevel DWT and IDWT ------------------------------------------------ The existing 1D and 2D multilevel transforms were supplemented with an nD implementation. Wavelet transforms can be applied along a specific axis/axes ------------------------------------------------------------ All wavelet transform functions now support explicit specification of the axis or axes upon which to perform the transform. Example Datasets ---------------- Two additional 2D grayscale images were added (`camera`, `ascent`). The previously existing 1D ECG data (`ecg`) and the 2D aerial image (`aero`) used in the demos can also now be imported via functions defined in `pywt.data` (e.g. ``camera = pywt.data.camera()``) Deprecated features =================== A number of functions have been renamed, the old names are deprecated and will be removed in a future release: - ``intwave``, renamed to ``integrate_wavelet`` - ``centrfrq``, renamed to ``central_frequency`` - ``scal2frq``, renamed to ``scale2frequency`` - ``orthfilt``, renamed to ``orthogonal_filter_bank`` Integration of general signals (i.e. not wavelets) with ``integrate_wavelet`` is deprecated. The ``MODES`` object and its attributes are deprecated. The new name is ``Modes``, and the attribute names are expanded: - ``zpd``, renamed to ``zero`` - ``cpd``, renamed to ``constant`` - ``sp1``, renamed to ``smooth`` - ``sym``, renamed to ``symmetric`` - ``ppd``, renamed to ``periodic`` - ``per``, renamed to ``periodization`` Backwards incompatible changes ============================== ``idwt`` no longer takes a ``correct_size`` parameter. As a consequence, ``idwt2`` inputs must match exactly in length. For multilevel transforms, where arrays differing in size by one element may be produced, use the ``waverec`` functions from the ``multilevel`` module instead. Bugs Fixed ========== float32 inputs were not always respected. All transforms now return float32 outputs when called using float32 inputs. Incorrect detail coefficients were returned by `downcoef` when `level > 1`. Other changes ============= Much of the API documentation is now autogenerated from the corresponding function docstrings. The numpydoc sphinx extension is now needed to build the documentation. Authors ======= * Thomas Arildsen + * FranΓ§ois Boulogne * Ralf Gommers * Gregory R. Lee * Michael Marino + * Aaron O'Leary + * Daniele Tricoli + * Kai Wohlfahrt A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. Issues closed for v0.4.0 ------------------------ - `#46 `__: Independent test comparison - `#95 `__: Simplify Matlab tests - `#97 `__: BUG: erroneous detail coefficients returned by downcoef with... - `#140 `__: demo/dwt_signal_decomposition.py : TypeError: object of type... - `#141 `__: Documentation needs update: ImportError: cannot import name 'multilevel' Pull requests for v0.4.0 ------------------------ - `#55 `__: [RFC] Api changes - `#59 `__: Refactor convolution.c.src - `#64 `__: MAINT: make LH, HL variable names in idwt2 consistent with dwt2 - `#67 `__: ENH: add wavedecn and waverecn functions - `#68 `__: ENH: Faster dwtn and idwtn - `#88 `__: DOC minor edit about possible naming - `#93 `__: Added implementation of iswt and iswt2 - `#98 `__: fix downcoef detail coefficients for level > 1 - `#99 `__: complex support in all dwt and idwt related functions - `#100 `__: replace mlabwrap with python-matlab-bridge in Matlab tests - `#102 `__: Replace some .src expansion with macros - `#104 `__: Faster idwtn/dwtn - `#106 `__: make sure transforms respect float32 dtype - `#109 `__: DOC: fix broken link in sidebar for html docs. - `#112 `__: Complex fix - `#113 `__: TST: don't build .exe installers on Appveyor anymore, only wheels. - `#116 `__: [RFC] ENH: Add axis argument to dwt - `#117 `__: MAINT: remove deprecated for loop syntax from Cython code - `#121 `__: Fix typo - `#123 `__: MAINT: remove some unused imports - `#124 `__: switch travis from python 3.5-dev to 3.5 - `#130 `__: Add axis argument to multidim - `#138 `__: WIP: Documentation updates for v0.4.0 - `#139 `__: Autogenerate function API docs - `#142 `__: fix broken docstring examples in _multilevel.py - `#143 `__: handle None properly in waverec - `#144 `__: Add importable images - `#145 `__: DOC: Document MSVC versions PyWavelets-0.5.1/doc/release/0.5.0-notes.rst0000755€>SK[€>P0000002775713017375740022317 0ustar lee8rxdomain^users00000000000000============================== PyWavelets 0.5.0 Release Notes ============================== .. |MATLAB| unicode:: MATLAB U+02122 .. with trademark sign .. contents:: PyWavelets is a Python toolbox implementing both discrete and continuous wavelet transforms (mathematical time-frequency transforms) with a wide range of built-in wavelets. C/Cython are used for the low-level routines, enabling high performance. Key Features of PyWavelets are: * 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D, 2D and nD Multilevel DWT and IDWT * 1D and 2D Forward and Inverse Stationary Wavelet Transform * 1D and 2D Wavelet Packet decomposition and reconstruction * 1D Continuous Wavelet Transform * When multiple valid implementations are available, we have chosen to maintain consistency with |MATLAB|'s Wavelet Toolbox. PyWavelets 0.5.0 is the culmination of 1 year of work. In addition to several new features, substantial refactoring of the underlying C and Cython code have been made. This release requires Python 2.6, 2.7 or 3.3-3.5 and NumPy 1.9.1 or greater. This will be the final release supporting Python 2.6 and 3.3. Highlights of this release include: - 1D continuous wavelet transforms - new discrete wavelets added (additional Debauchies and Coiflet wavelets) - new 'reflect' extension mode for discrete wavelet transforms - faster performance for multilevel forward stationary wavelet transforms (SWT) - n-dimensional support added to forward SWT - routines to convert multilevel DWT coefficients to and from a single array - axis support for multilevel DWT - substantial refactoring/reorganization of the underlying C and Cython code New features ============ 1D Continous Wavelet Transforms ------------------------------- A wide range of continous wavelets are now available. These include the following: - Gaussian wavelets (``gaus1``...``gaus8``) - Mexican hat wavelet (``mexh``) - Morlet wavelet (``morl``) - Complex Gaussian wavelets (``cgau1``...``cgau8``) - Shannon wavelet (``shan``) - Frequency B-Spline wavelet (``fbsp``) - Complex Morlet wavelet (``cmor``) Also, see the new CWT-related demo: demo/cwt_analysis.py New discrete wavelets --------------------- Additional Debauchies wavelets (``db20``...``db38``) and Coiflets (``coif6``...``coif17``) have been added. New extension mode: reflect --------------------------- Discrete wavelet transforms support a new extension mode, ``reflect``. This mode pads an array symmetrically, but without repeating the edge value. As an example:: pad array pad 4 3 2 | 1 2 3 4 5 | 4 3 2 This differs from ``symmetric``, which repeats the values at the boundaries:: pad array pad 3 2 1 | 1 2 3 4 5 | 5 4 3 Multilevel DWT Coefficient Handling ----------------------------------- New routines to convert the coefficients returned by multilevel DWT routines to and from a single n-dimensional array have been added. ``pywt.coeffs_to_array`` concatenates the output of ``wavedec``, ``wavedec2`` or ``wavedecn`` into a single numpy array. ``pywt.array_to_coeffs`` can be used to transform back from a single coefficient array to a format appropriate for ``waverec``, ``waverec2`` or ``waverecn``. More C function calls release the GIL ------------------------------------- Cython code calling the wavelet filtering routines (DWT and SWT) now releases the global interpreter lock (GIL) where possible. A potential use case is in speeding up the batch computation of several large DWTs using multi-threading (e.g. via concurrent.futures). Multilevel wavelet transforms along specific axes ------------------------------------------------- The axis specific transform support introduced in the prior release was extended to the multilevel DWT transforms. All ``wavedec*`` and ``waverec*`` routines have a new `axis` (1D) or `axes` (2D, nD) keyword argument. If unspecified the default behaviour is to transform all axes of the input. Faster multilevel stationary wavelet transforms ----------------------------------------------- Stationary wavelet transforms are now faster when the number of levels is greater than one. The improvement can be very large (multiple orders of magnitude) for transforms with a large number of levels. Deprecated features =================== Backwards incompatible changes ============================== A FutureWarning was added to ``swt2`` and ``iswt2`` to warn about a pending backwards incompatible change to the order of the coefficients in the list returned by these routines. The actual change will not occur until the next release. Transform coefficients will be returned in descending rather than ascending order. This change is being made for consistency with all other existing multi-level transforms in PyWavelets. Bugs Fixed ========== ``demo/image_blender.py`` was updated to support the new api of Pillow 3.x A bug related to size of assumed ``size_t`` on some platforms/compilers (e.g. Windows with mingw64) was fixed. Fix to memory leak in ``(i)dwt_axis`` Fix to a performance regression in ``idwt`` and ``iswt`` that was introduced in v0.4.0. Fixed a bug in ``dwtn`` and ``idwtn`` for data with complex dtype when ``axes != None``. Other changes ============= The minimum supported numpy version has been increased to 1.9.1. Test coverage (including for the Cython and C code) via `Codecov `_ was added and the overall test coverage has been improved. A substantial overhaul of the C extension code has been performed. Custom templating is no longer used. The intention is to make this code easier to maintain and expand in the future. The Cython code has been split out into a multiple files to hopefully make relevant portions of the wrappers easier to find for future developers. ``setup.py`` now relies on setuptools in all cases (rather than distutils). Authors ======= * Jonathan Dan + * Ralf Gommers * David MenΓ©ndez Hurtado * Gregory R. Lee * Holger Nahrstaedt + * Daniel M. Pelt + * Alexandre Saint + * Scott Sievert + * Kai Wohlfahrt * Frank Yu + A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. Issues closed for v0.5.0 ------------------------ - `#48 `__: Continous wavelet transform? - `#127 `__: Reorganize _pywt - `#160 `__: Appveyor failing on recent PRs - `#163 `__: Set up coveralls - `#166 `__: Wavelet coefficients to single array (and vice versa?) - `#177 `__: Fail to install pywt due to the use of index_t which conflict with the defination in /usr/include/sys/types.h on smartos sysmte(open solaris like system) - `#180 `__: Memory leak - `#187 `__: 'reflect' signal extension mode - `#189 `__: bump minimum numpy version? - `#191 `__: Upgrade removed Pillow methods - `#196 `__: building in-place for development. - `#200 `__: swt implementation is considerably slower than MATLAB - `#209 `__: broken doctests - `#210 `__: Run doctests in CI setup - `#211 `__: Typo in iswt documentation - `#217 `__: `blank_discrete_wavelet` does not properly intiailize some properties - `#231 `__: I can't compile pywt Pull requests for v0.5.0 ------------------------ - `#148 `__: Reorganize C v2 - `#161 `__: Remove numpy distutils - `#162 `__: fix: iswt/idwt performance regression - `#164 `__: Improved coefficients for db and coif - `#167 `__: Add coverage (codecov.io) - `#168 `__: convert transform coefficients to and from a single n-dimensional array - `#169 `__: Remove templating - `#170 `__: :Always install new pip on Appveyor - `#172 `__: Adding of missing wavelets from the matlab list - `#178 `__: use Index_t instead of index_t - `#179 `__: add axis/axes support to multilevel discrete wavelet transforms - `#181 `__: Fix memory leak - `#182 `__: improve test coverage for _multidim.py and _multilevel.py - `#183 `__: improve coverage for _dwt.py - `#184 `__: fix corner case in coeffs_to_array - `#188 `__: Drop GIL in c_wt calls - `#190 `__: bump minimum numpy to 1.9 - `#192 `__: Upgrade to Pillow>=3 api - `#193 `__: ENH: add 'reflect' extension mode - `#197 `__: BLD: fix "python setup.py develop". Closes gh-196 - `#198 `__: Choose clz* based on SIZE_MAX - `#201 `__: speedup multi-level swt - `#205 `__: fix dwtn/idwtn with axes != None and complex data - `#206 `__: DOC: correct typo in iswt docstring - `#207 `__: minor documentation updates - `#208 `__: document coeff_to_array and array_to_coeff - `#214 `__: FIX: update several doctests to reflect the new wavelets added - `#218 `__: FIX: initialize all properties of a blank discrete wavelet - `#219 `__: document coordinate conventions for 2D DWT routines. - `#220 `__: Run doctests on TravisCI - `#221 `__: Documentation for cwt and ContinuousWavelet - `#222 `__: consistent use of double backticks in docs - `#223 `__: add FutureWarning about swt2 coefficient order - `#224 `__: n-dimensional stationary wavelet transform (swtn) and axis support in swt, swt2 - `#225 `__: BUG: fix breakage on 32-bit Python. - `#226 `__: DOC: update Copyright statements. - `#227 `__: ENH: add kind keyword to wavelist() - `#228 `__: MAINT: avoid using a builtin as variable name in qmf(). - `#229 `__: DOC: add swtn, iswt, iswt2 to the API documentation - `#230 `__: add demo of batch processing via concurrent.futures - `#234 `__: ENH: coeffs_to_array supports axes argument as recently added to wavedec* - `#236 `__: BLD: raise an ImportError if Cython should be installed but isn't. PyWavelets-0.5.1/doc/release/0.5.1-notes.rst0000755€>SK[€>P0000000216713017375750022305 0ustar lee8rxdomain^users00000000000000============================== PyWavelets 0.5.1 Release Notes ============================== PyWavelets 0.5.1 is a bug-fix release with no new features compared to 0.5.0 Bugs Fixed ========== In release 0.5.0 the wrong edge mode was used for the following three deprecated modes: ``ppd``, ``sp1``, and ``per``. All deprecated edge mode names are now correctly converted to the corresponding new names. One-dimensional discrete wavelet transforms did not properly respect the ``axis`` argument for complex-valued data. Prior to this release, the last axis was always transformed for arrays with complex dtype. This fix affects ``dwt``, ``idwt``, ``wavedec``, ``waverec``. Authors ======= * Gregory R. Lee Issues closed for v0.5.1 ------------------------ - `#245 `__: Keyword "per" for dwt extension mode Pull requests for v0.5.1 ------------------------ - `#244 `__: FIX: dwt, idwt with complex data now pass axis argument properly - `#246 `__: fix bug in deprecated mode name conversion PyWavelets-0.5.1/doc/source/0000755€>SK[€>P0000000000013017376010017621 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/doc/source/conf.py0000755€>SK[€>P0000001547413017375750021150 0ustar lee8rxdomain^users00000000000000# -*- coding: utf-8 -*- # # PyWavelets documentation build configuration file, created by # sphinx-quickstart on Sun Mar 14 10:46:18 2010. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import re import datetime import jinja2.filters # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.append(os.path.abspath('.')) # -- General configuration ----------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['sphinx.ext.doctest', 'sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.extlinks', 'numpydoc'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8' # The master toctree document. master_doc = 'index' # General information about the project. project = 'PyWavelets' copyright = jinja2.filters.do_mark_safe('2006-%s, The PyWavelets Developers' % datetime.date.today().year) # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # The default replacements for |version| and |release|, also used in various # other places throughout the built documents. import pywt version = re.sub(r'\.dev0+.*$', r'.dev', pywt.__version__) release = pywt.__version__ print "PyWavelets (VERSION %s)" % (version,) # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of documents that shouldn't be included in the build. unused_docs = ['substitutions', 'overview'] # List of directories, relative to source directory, that shouldn't be searched # for source files. exclude_trees = ['_build'] # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. modindex_common_prefix = ['pywt.'] # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. Major themes that come with # Sphinx are currently 'default' and 'sphinxdoc'. html_theme = 'nature' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". html_title = 'PyWavelets Documentation' # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = 'favicon.ico' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} html_sidebars = { '**': ['localtoc.html', "relations.html", 'quicklinks.html', 'searchbox.html', 'editdocument.html'], } # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_use_modindex = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. html_show_sourcelink = False # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. html_use_opensearch = 'http://pywavelets.readthedocs.org' # If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = '' # Output file base name for HTML help builder. htmlhelp_basename = 'PyWaveletsdoc' # -- Options for LaTeX output -------------------------------------------------- # The paper size ('letter' or 'a4'). #latex_paper_size = 'letter' # The font size ('10pt', '11pt' or '12pt'). #latex_font_size = '10pt' # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [ ('index', 'PyWavelets.tex', 'PyWavelets Documentation', 'The PyWavelets Developers', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # Additional stuff for the LaTeX preamble. #latex_preamble = '' # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_use_modindex = True PyWavelets-0.5.1/doc/source/contents.rst0000755€>SK[€>P0000000033113017375740022221 0ustar lee8rxdomain^users00000000000000.. _contents: PyWavelets ========== .. toctree:: :maxdepth: 2 ref/index regression/index dev/index resources releasenotes Indices and tables ================== * :ref:`genindex` * :ref:`search` PyWavelets-0.5.1/doc/source/dev/0000755€>SK[€>P0000000000013017376010020377 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/doc/source/dev/building_extension.rst0000755€>SK[€>P0000000212613017375740025037 0ustar lee8rxdomain^users00000000000000.. _dev-building-extension: Building and installing PyWavelets ================================== Installing from source code --------------------------- Go to https://github.com/PyWavelets/pywt GitHub project page, fork and clone the repository or use the upstream repository to get the source code:: git clone https://github.com/PyWavelets/pywt.git PyWavelets Activate your Python virtual environment, go to the cloned source directory and type the following commands to build and install the package:: python setup.py build python setup.py install To verify the installation run the following command:: python setup.py test To build docs:: cd doc make html Installing a development version -------------------------------- You can also install directly from the source repository:: pip install -e git+https://github.com/PyWavelets/pywt.git#egg=PyWavelets or:: pip install PyWavelets==dev Installing a regular release from PyPi -------------------------------------- A regular release can be installed with pip or easy_install:: pip install PyWavelets PyWavelets-0.5.1/doc/source/dev/how_to_release.rst0000755€>SK[€>P0000000633413017375750024153 0ustar lee8rxdomain^users00000000000000Guidelines for Releasing PyWavelets =================================== The following are guidelines for preparing a release of PyWavelets. The notation vX.X.X in the commands below would be replaced by the actual release number. updating the release notes -------------------------- Prior to the release, make sure the release notes are up to date. author lists can be generated via: ```python ./util/authors.py vP.P.P..``` (where vP.P.P is the previous release number) and the lists of Issues closed and PRs merged via: ```python ./util/gh_lists.py vX.X.X``` (script requires Python 2.X to run) Tag the release and trigger the build of Windows wheels ------------------------------------------------------- Change ISRELEASED to TRUE in `setup.py` and commit. Appveyor will build wheels for windows. If the commit with ISRELEASED=True is submitted as a PR, the wheels can be downloaded from appveyor once it has run on the PR. They can be found under the "Artifacts" tab in the Appveyor interface. These should be downloaded so that they can later be uploaded to pypi.python.org. Tag the release via: ```git tag -s vX.X.X``` Then push the vX.X.X tag to master. Create the source distribution ------------------------------ Remove untracked files and directories via git clean. **Warning:** This will delete files & directories that are not under version control so you may want to do a dry run first by adding -n, so you can see what will be removed: ```git clean -xfdn``` Then run without -n: ```git clean -xfd``` Create the source distribution files via: ```python setup.py sdist --formats=gztar,zip``` Upload the release to pypi -------------------------- The binary Windows wheels downloaded from Appveyor (see above) should also be placed into the /dist subfolder along with the sdist archives. The wheels and source distributions created above can all be securely uploaded to pypi.python.org using twine: ```twine upload -s dist/*``` Upload the documentation to pypi -------------------------------- The documentation on readthedocs (http://pywavelets.readthedocs.org) will have been automatically generated, but the documentation linked from pypi.python.org (http://pythonhosted.org/PyWavelets/) will need to be manually updated. This can be done by building the documentation locally and zipping 'doc/build/html' so that index.html is at the top level of the archive. This archive can then be uploaded in the "files" section of the PyWavelets page on pypi. Create the release on GitHub ---------------------------- On the project's github page, click the releases tab and then press the "Draft a new release" button to create a release from the appropriate tag. Announcing the release ---------------------- Send release announcements to: - https://groups.google.com/forum/#!forum/pywavelets (pywavelets@googlegroups.com) - python-announce-list@python.org - scipy-user@scipy.org Prepare for continued development --------------------------------- Increment the version number in setup.py and change ISRELEASED to False. Prepare new release note files for theupcoming release: ``` git add doc/release/X.X.X-notes.rst git add doc/source/release.X.X.X.rst ``` And add release.X.X.X to the list in: ``` doc/source/releasenotes.rst ``` PyWavelets-0.5.1/doc/source/dev/index.rst0000755€>SK[€>P0000000133413017375740022255 0ustar lee8rxdomain^users00000000000000.. _dev-index: Development notes ================= This section contains information on building and installing PyWavelets from source code as well as instructions for preparing the build environment on Windows and Linux. .. toctree:: :maxdepth: 2 preparing_windows_build_environment preparing_linux_build_environment installing_build_dependencies building_extension testing how_to_release Something not working? ---------------------- If these instructions are not clear or you need help setting up your development environment, go ahead and ask on the PyWavelets discussion group at http://groups.google.com/group/pywavelets or open a ticket on GitHub_. .. _GitHub: https://github.com/PyWavelets/pywt PyWavelets-0.5.1/doc/source/dev/installing_build_dependencies.rst0000755€>SK[€>P0000000306313017375740027200 0ustar lee8rxdomain^users00000000000000.. _dev-installing-build-dependencies: Installing build dependencies ============================= Setting up Python virtual environment ------------------------------------- A good practice is to create a separate Python virtual environment for each project. If you don't have `virtualenv`_ yet, install and activate it using:: curl -O https://raw.github.com/pypa/virtualenv/master/virtualenv.py python virtualenv.py . /bin/activate Installing Cython ----------------- Use ``pip`` (http://pypi.python.org/pypi/pip) to install Cython_:: pip install Cython>=0.16 Installing numpy ---------------- Use ``pip`` to install numpy_:: pip install numpy Numpy can also be obtained via scientific python distributions such as: - Anaconda_ - `Enthought Canopy`_ - `Python(x,y) `_ .. note:: You can find binaries for 64-bit Windows on http://www.lfd.uci.edu/~gohlke/pythonlibs/. Installing Sphinx ----------------- Sphinx_ is a documentation tool that converts reStructuredText files into nicely looking html documentation. Install it with:: pip install Sphinx numpydoc_ is used to format the API docmentation appropriately. Install it via:: pip install numpydoc .. _virtualenv: http://pypi.python.org/pypi/virtualenv .. _numpy: http://numpy.org/ .. _Cython: http://cython.org/ .. _Sphinx: http://sphinx.pocoo.org .. _numpydoc: https://github.com/numpy/numpydoc .. _Anaconda: https://www.continuum.io/downloads .. _Enthought Canopy: https://www.enthought.com/products/canopy/ PyWavelets-0.5.1/doc/source/dev/preparing_linux_build_environment.rst0000755€>SK[€>P0000000127513017375740030163 0ustar lee8rxdomain^users00000000000000.. _dev-preparing-linux-build-environment: Preparing Linux build environment ================================= There is a good chance that you already have a working build environment. Just skip steps that you don't need to execute. Installing basic build tools ---------------------------- Note that the example below uses ``aptitude`` package manager, which is specific to Debian and Ubuntu Linux distributions. Use your favourite package manager to install these packages on your OS. :: aptitude install build-essential gcc python-dev git-core Next steps ---------- After completing these steps continue with :ref:`Installing build dependencies `. PyWavelets-0.5.1/doc/source/dev/preparing_windows_build_environment.rst0000755€>SK[€>P0000000777013017375740030524 0ustar lee8rxdomain^users00000000000000.. _dev-building-on-windows: Preparing Windows build environment =================================== To start developing PyWavelets code on Windows you will have to install a C compiler and prepare the build environment. Installing Windows SDK C/C++ compiler ------------------------------------- Depending on your Python version, a different version of the Microsoft Visual C++ compiler will be required to build extensions. The same compiler that was used to build Python itself should be used. For official binary builds of Python 2.6 to 3.2, this will be VS 2008. Python 3.3 and 3.4 were compiled with VS 2010, and for Python 3.5 it will be MSVC 2015. The MSVC version should be printed when starting a Python REPL, and can be checked against the note below: .. note:: For reference: - the *MSC v.1500* in the Python version string is Microsoft Visual C++ 2008 (Microsoft Visual Studio 9.0 with msvcr90.dll runtime) - *MSC v.1600* is MSVC 2010 (10.0 with msvcr100.dll runtime) - *MSC v.1700* is MSVC 2012 (11.0) - *MSC v.1800* is MSVC 2013 (12.0) - *MSC v.1900* is MSVC 2015 (14.0) :: Python 2.7.3 (default, Apr 10 2012, 23:31:26) [MSC v.1500 32 bit (Intel)] on win32 Python 3.2 (r32:88445, Feb 20 2011, 21:30:00) [MSC v.1500 64 bit (AMD64)] on win32 To get started first download, extract and install *Microsoft Windows SDK for Windows 7 and .NET Framework 3.5 SP1* from http://www.microsoft.com/downloads/en/details.aspx?familyid=71DEB800-C591-4F97-A900-BEA146E4FAE1&displaylang=en. There are several ISO images on the site, so just grab the one that is suitable for your platform: - ``GRMSDK_EN_DVD.iso`` for 32-bit x86 platform - ``GRMSDKX_EN_DVD.iso`` for 64-bit AMD64 platform (AMD64 is the codename for 64-bit CPU architecture, not the processor manufacturer) After installing the SDK and before compiling the extension you have to configure some environment variables. For 32-bit build execute the ``util/setenv_build32.bat`` script in the cmd window: .. sourcecode:: bat rem Configure the environment for 32-bit builds. rem Use "vcvars32.bat" for a 32-bit build. "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin\vcvars32.bat" rem Convince setup.py to use the SDK tools. set MSSdk=1 setenv /x86 /release set DISTUTILS_USE_SDK=1 For 64-bit use ``util/setenv_build64.bat``: .. sourcecode:: bat rem Configure the environment for 64-bit builds. rem Use "vcvars32.bat" for a 32-bit build. "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin\vcvars64.bat" rem Convince setup.py to use the SDK tools. set MSSdk=1 setenv /x64 /release set DISTUTILS_USE_SDK=1 See also http://wiki.cython.org/64BitCythonExtensionsOnWindows. MinGW C/C++ compiler -------------------- MinGW distribution can be downloaded from http://sourceforge.net/projects/mingwbuilds/. In order to change the settings and use MinGW as the default compiler, edit or create a Distutils configuration file ``c:\Python2*\Lib\distutils\distutils.cfg`` and place the following entry in it:: [build] compiler = mingw32 You can also take a look at Cython's "Installing MinGW on Windows" page at http://wiki.cython.org/InstallingOnWindows for more info. .. note:: Python 2.7/3.2 distutils package is incompatible with the current version (4.7+) of MinGW (MinGW dropped the ``-mno-cygwin`` flag, which is still passed by distutils). To use MinGW to compile Python extensions you have to patch the ``distutils/cygwinccompiler.py`` library module and remove every occurrence of ``-mno-cygwin``. See http://bugs.python.org/issue12641 bug report for more information on the issue. Next steps ---------- After completing these steps continue with :ref:`Installing build dependencies `. .. _Python: http://python.org/ .. _numpy: http://numpy.org/ .. _Cython: http://cython.org/ .. _Sphinx: http://sphinx.pocoo.org/ .. _MinGW C compiler: http://sourceforge.net/projects/mingwbuilds/ PyWavelets-0.5.1/doc/source/dev/testing.rst0000755€>SK[€>P0000000215113017375740022621 0ustar lee8rxdomain^users00000000000000.. _dev-testing: Testing ======= Continous integration with Travis-CI ------------------------------------ The project is using `Travis-CI `_ service for continous integration and testing. Current build status is: .. image:: https://secure.travis-ci.org/PyWavelets/pywt.png?branch=master :alt: Build Status :target: https://secure.travis-ci.org/PyWavelets/pywt If you are submitting a patch or pull request please make sure it does not break the build. Running tests locally --------------------- Tests are implemented with `nose`_, so use one of: $ nosetests pywt >>> pywt.test() # doctest: +SKIP Note doctests require `Matplotlib`_ in addition to the usual dependencies. Running tests with Tox ---------------------- There's also a config file for running tests with `Tox`_ (``pip install tox``). To for example run tests for Python 2.7 and Python 3.4 use:: tox -e py27,py34 For more information see the `Tox`_ documentation. .. _nose: http://nose.readthedocs.org/en/latest/ .. _Tox: http://tox.testrun.org/ .. _Matplotlib: http://matplotlib.org PyWavelets-0.5.1/doc/source/index.rst0000755€>SK[€>P0000001065613017375750021507 0ustar lee8rxdomain^users00000000000000PyWavelets - Wavelet Transforms in Python ========================================= PyWavelets is free and Open Source wavelet transform software for the Python_ programming language. It combines a simple high level interface with low level C and Cython performance. PyWavelets is very easy to use and get started with. Just install the package, open the Python interactive shell and type: .. sourcecode:: python >>> import pywt >>> cA, cD = pywt.dwt([1, 2, 3, 4], 'db1') VoilΓ ! Computing wavelet transforms has never been so simple :) Main features ------------- The main features of PyWavelets are: * 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D, 2D and nD Multilevel DWT and IDWT * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform) * 1D and 2D Wavelet Packet decomposition and reconstruction * 1D Continuous Wavelet Transform * Approximating wavelet and scaling functions * Over seventy `built-in wavelet filters`_ and custom wavelets supported * Single and double precision calculations * Real and complex calculations * Results compatible with Matlab Wavelet Toolbox (TM) Requirements ------------ PyWavelets is a package for the Python programming language. It requires: - Python_ 2.6, 2.7 or >=3.3 - Numpy_ >= 1.9.1 Download -------- The most recent *development* version can be found on GitHub at https://github.com/PyWavelets/pywt. Latest release, including source and binary package for Windows, is available for download from the `Python Package Index`_ or on the `Releases Page`_. Install ------- In order to build PyWavelets from source, a working C compiler (GCC or MSVC) and a recent version of Cython_ is required. - Install PyWavelets with ``pip install PyWavelets``. - To build and install from source, navigate to downloaded PyWavelets source code directory and type ``python setup.py install``. Prebuilt Windows binaries and source code packages are also available from `Python Package Index`_. Binary packages for several Linux distributors are maintained by Open Source community contributors. Query your Linux package manager tool for `python-pywavelets`, `python-wavelets`, `python-pywt` or similar package name. .. seealso:: :ref:`Development notes ` section contains more information on building and installing from source code. Documentation ------------- Documentation with detailed examples and links to more resources is available online at http://pywavelets.readthedocs.org. For more usage examples see the `demo`_ directory in the source package. State of development & Contributing ----------------------------------- PyWavelets started in 2006 as an academic project for a masters thesis on `Analysis and Classification of Medical Signals using Wavelet Transforms` and was maintained until 2012 by its `original developer`_. In 2013 maintenance was taken over in a `new repo `_) by a larger development team - a move supported by the original developer. The repo move doesn't mean that this is a fork - the package continues to be developed under the name "PyWavelets", and released on PyPi and Github (see `this issue `_ for the discussion where that was decided). All contributions including bug reports, bug fixes, new feature implementations and documentation improvements are welcome. Moreover, developers with an interest in PyWavelets are very welcome to join the development team! Python 3 -------- Python 3.x is fully supported from release v0.3.0 on. Contact ------- Use `GitHub Issues`_ or the `PyWavelets discussions group`_ to post your comments or questions. License ------- PyWavelets is a free Open Source software released under the MIT license. Contents -------- .. toctree:: :maxdepth: 1 ref/index regression/index dev/index resources contents .. _built-in wavelet filters: http://wavelets.pybytes.com/ .. _Cython: http://cython.org/ .. _demo: https://github.com/PyWavelets/pywt/tree/master/demo .. _GitHub: https://github.com/PyWavelets/pywt .. _GitHub Issues: https://github.com/PyWavelets/pywt/issues .. _Numpy: http://www.numpy.org .. _original developer: http://en.ig.ma .. _Python: http://python.org/ .. _Python Package Index: http://pypi.python.org/pypi/PyWavelets/ .. _PyWavelets discussions group: http://groups.google.com/group/pywavelets .. _Releases Page: https://github.com/PyWavelets/pywt/releases PyWavelets-0.5.1/doc/source/overview.rst0000755€>SK[€>P0000000004213017375750022232 0ustar lee8rxdomain^users00000000000000Moved to :ref:`index `.PyWavelets-0.5.1/doc/source/ref/0000755€>SK[€>P0000000000013017376010020375 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/doc/source/ref/2d-dwt-and-idwt.rst0000755€>SK[€>P0000000417513017375750023761 0ustar lee8rxdomain^users00000000000000.. _ref-dwt2: .. currentmodule:: pywt .. include:: ../substitutions.rst ================================================= 2D Forward and Inverse Discrete Wavelet Transform ================================================= Single level ``dwt2`` ~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: dwt2 The relation to the other common data layout where all the approximation and details coefficients are stored in one big 2D array is as follows: :: ------------------- | | | | cA(LL) | cH(LH) | | | | (cA, (cH, cV, cD)) <---> ------------------- | | | | cV(HL) | cD(HH) | | | | ------------------- PyWavelets does not follow this pattern because of pure practical reasons of simple access to particular type of the output coefficients. Single level ``idwt2`` ~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: idwt2 2D multilevel decomposition using ``wavedec2`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: wavedec2 2D multilevel reconstruction using ``waverec2`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: waverec2 2D coordinate conventions ~~~~~~~~~~~~~~~~~~~~~~~~~ The labels for "horizontal" and "vertical" used by ``dwt2`` and ``idwt2`` follow the common mathematical convention that coordinate axis 0 is horizontal while axis 1 is vertical:: dwt2, idwt2 convention ---------------------- axis 1 ^ | | | |---------> axis 0 Note that this is different from another common convention used in computer graphics and image processing (e.g. by matplotlib's ``imshow`` and functions in ``scikit-image``). In those packages axis 0 is a vertical axis and axis 1 is horizontal as follows:: imshow convention ------------------- axis 1 |---------> | | | axis 0 v PyWavelets-0.5.1/doc/source/ref/cwt.rst0000755€>SK[€>P0000000051713017375750021744 0ustar lee8rxdomain^users00000000000000.. _ref-cwt: .. currentmodule:: pywt .. include:: ../substitutions.rst ================================= Continous Wavelet Transform (CWT) ================================= This section describes functions used to perform single continous wavelet transforms. Single level - ``cwt`` ---------------------- .. autofunction:: cwt PyWavelets-0.5.1/doc/source/ref/dwt-coefficient-handling.rst0000755€>SK[€>P0000000121613017375750026000 0ustar lee8rxdomain^users00000000000000.. _ref-dwt-coef: .. include:: ../substitutions.rst ========================= Handling DWT Coefficients ========================= Convenience routines are available for converting the outputs of the multilevel dwt functions (``wavedec``, ``wavedec2`` and ``wavedecn``) to and from a single, concatenated coefficient array. .. currentmodule:: pywt Concatenating all coefficients into a single array -------------------------------------------------- .. autofunction:: coeffs_to_array Splitting concatenated coefficient array back into its components ----------------------------------------------------------------- .. autofunction:: array_to_coeffs PyWavelets-0.5.1/doc/source/ref/dwt-discrete-wavelet-transform.rst0000755€>SK[€>P0000000340613017375750027223 0ustar lee8rxdomain^users00000000000000.. _ref-dwt: .. currentmodule:: pywt .. include:: ../substitutions.rst ================================ Discrete Wavelet Transform (DWT) ================================ Wavelet transform has recently become a very popular when it comes to analysis, de-noising and compression of signals and images. This section describes functions used to perform single- and multilevel Discrete Wavelet Transforms. Single level ``dwt`` -------------------- .. autofunction:: dwt See the :ref:`signal extension modes ` section for the list of available options and the :func:`dwt_coeff_len` function for information on getting the expected result length. The transform can be performed over one axis of multi-dimensional data. By default this is the last axis. For multi-dimensional transforms see the :ref:`2D transforms ` section. Multilevel decomposition using ``wavedec`` ------------------------------------------ .. autofunction:: wavedec Partial Discrete Wavelet Transform data decomposition ``downcoef`` ------------------------------------------------------------------ .. autofunction:: downcoef Maximum decomposition level - ``dwt_max_level`` ----------------------------------------------- .. autofunction:: dwt_max_level .. _`dwt_coeff_len`: Result coefficients length - ``dwt_coeff_len`` ---------------------------------------------- .. autofunction:: dwt_coeff_len Based on the given input data length (``data_len``), wavelet decomposition filter length (``filter_len``) and :ref:`signal extension mode `, the :func:`dwt_coeff_len` function calculates the length of the resulting coefficients arrays that would be created while performing :func:`dwt` transform. ``filter_len`` can be either an ``int`` or :class:`Wavelet` object for convenience. PyWavelets-0.5.1/doc/source/ref/idwt-inverse-discrete-wavelet-transform.rst0000755€>SK[€>P0000000241213017375750031041 0ustar lee8rxdomain^users00000000000000.. _ref-idwt: .. currentmodule:: pywt .. include:: ../substitutions.rst ========================================= Inverse Discrete Wavelet Transform (IDWT) ========================================= Single level ``idwt`` --------------------- .. autofunction:: idwt **Example:** .. sourcecode:: python >>> import pywt >>> (cA, cD) = pywt.dwt([1,2,3,4,5,6], 'db2', 'smooth') >>> print pywt.idwt(cA, cD, 'db2', 'smooth') array([ 1., 2., 3., 4., 5., 6.]) One of the neat features of :func:`idwt` is that one of the ``cA`` and ``cD`` arguments can be set to ``None``. In that situation the reconstruction will be performed using only the other one. Mathematically speaking, this is equivalent to passing a zero-filled array as one of the arguments. **Example:** .. sourcecode:: python >>> import pywt >>> (cA, cD) = pywt.dwt([1,2,3,4,5,6], 'db2', 'smooth') >>> A = pywt.idwt(cA, None, 'db2', 'smooth') >>> D = pywt.idwt(None, cD, 'db2', 'smooth') >>> print A + D array([ 1., 2., 3., 4., 5., 6.]) Multilevel reconstruction using ``waverec`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: waverec Direct reconstruction with ``upcoef`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: upcoef PyWavelets-0.5.1/doc/source/ref/index.rst0000755€>SK[€>P0000000063013017375740022251 0ustar lee8rxdomain^users00000000000000.. _ref-index: API Reference ============= .. toctree:: :maxdepth: 2 wavelets signal-extension-modes dwt-discrete-wavelet-transform idwt-inverse-discrete-wavelet-transform 2d-dwt-and-idwt nd-dwt-and-idwt dwt-coefficient-handling swt-stationary-wavelet-transform iswt-inverse-stationary-wavelet-transform wavelet-packets cwt thresholding-functions other-functions PyWavelets-0.5.1/doc/source/ref/iswt-inverse-stationary-wavelet-transform.rst0000755€>SK[€>P0000000122013017375750031447 0ustar lee8rxdomain^users00000000000000.. _ref-iswt: .. currentmodule:: pywt .. include:: ../substitutions.rst Inverse Stationary Wavelet Transform ------------------------------------ Inverse :ref:`stationary wavelet transforms ` are provided for 1D and 2D data. **Note**: These inverse transforms are not yet optimized for speed and only support a subset of the forward transform features. Specifically, there is not yet a general n-dimensional inverse transform and these routines do not yet have general ``axis``/``axes`` support. Multilevel 1D ``iswt`` ~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: iswt Multilevel 2D ``iswt2`` ~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: iswt2 PyWavelets-0.5.1/doc/source/ref/nd-dwt-and-idwt.rst0000755€>SK[€>P0000000111513017375750024044 0ustar lee8rxdomain^users00000000000000.. _ref-dwtn: .. include:: ../substitutions.rst ================================================= nD Forward and Inverse Discrete Wavelet Transform ================================================= .. currentmodule:: pywt Single level - ``dwtn`` ----------------------- .. autofunction:: dwtn Single level - ``idwtn`` ------------------------ .. autofunction:: idwtn Multilevel decomposition - ``wavedecn`` --------------------------------------- .. autofunction:: wavedecn Multilevel reconstruction - ``waverecn`` ---------------------------------------- .. autofunction:: waverecn PyWavelets-0.5.1/doc/source/ref/other-functions.rst0000755€>SK[€>P0000000311113017375750024267 0ustar lee8rxdomain^users00000000000000.. _ref-other: .. currentmodule:: pywt .. include:: ../substitutions.rst =============== Other functions =============== Integrating wavelet functions ----------------------------- .. autofunction:: integrate_wavelet The result of the call depends on the ``wavelet`` argument: * for orthogonal and continuous wavelets - an integral of the wavelet function specified on an x-grid:: [int_psi, x_grid] = integrate_wavelet(wavelet, precision) * for other wavelets - integrals of decomposition and reconstruction wavelet functions and a corresponding x-grid:: [int_psi_d, int_psi_r, x_grid] = integrate_wavelet(wavelet, precision) Central frequency of ``psi`` wavelet function --------------------------------------------- .. autofunction:: central_frequency .. autofunction:: scale2frequency Quadrature Mirror Filter ------------------------ .. autofunction:: qmf Orthogonal Filter Banks ----------------------- .. autofunction:: orthogonal_filter_bank Example Datasets ---------------- The following example datasets are available in the module ``pywt.data``: ======== ============================= **name** **description** ======== ============================= ecg ECG waveform (1024 samples) aero grayscale image (512x512) ascent grayscale image (512x512) camera grayscale image (512x512) nino sea surface temperature (264 samples) ======== ============================= Each can be loaded via a function of the same name. **Example:** .. sourcecode:: python >>> import pywt >>> camera = pywt.data.camera() PyWavelets-0.5.1/doc/source/ref/signal-extension-modes.rst0000755€>SK[€>P0000000736113017375740025546 0ustar lee8rxdomain^users00000000000000.. _ref-modes: .. currentmodule:: pywt ====================== Signal extension modes ====================== .. _Modes: Because the most common and practical way of representing digital signals in computer science is with finite arrays of values, some extrapolation of the input data has to be performed in order to extend the signal before computing the :ref:`Discrete Wavelet Transform ` using the cascading filter banks algorithm. Depending on the extrapolation method, significant artifacts at the signal's borders can be introduced during that process, which in turn may lead to inaccurate computations of the :ref:`DWT ` at the signal's ends. PyWavelets provides several methods of signal extrapolation that can be used to minimize this negative effect: .. _`Modes.zero`: * ``zero`` - **zero-padding** - signal is extended by adding zero samples:: ... 0 0 | x1 x2 ... xn | 0 0 ... .. _`Modes.constant`: * ``constant`` - **constant-padding** - border values are replicated:: ... x1 x1 | x1 x2 ... xn | xn xn ... .. _`Modes.symmetric`: * ``symmetric`` - **symmetric-padding** - signal is extended by *mirroring* samples:: ... x2 x1 | x1 x2 ... xn | xn xn-1 ... .. _`Modes.reflect`: * ``reflect`` - **reflect-padding** - signal is extended by *reflecting* samples:: ... x3 x2 | x1 x2 ... xn | xn-1 xn-2 ... .. _`Modes.periodic`: .. _`periodic-padding`: * ``periodic`` - **periodic-padding** - signal is treated as a periodic one:: ... xn-1 xn | x1 x2 ... xn | x1 x2 ... .. _`Modes.smooth`: * ``smooth`` - **smooth-padding** - signal is extended according to the first derivatives calculated on the edges (straight line) :ref:`DWT ` performed for these extension modes is slightly redundant, but ensures perfect reconstruction. To receive the smallest possible number of coefficients, computations can be performed with the `periodization`_ mode: .. _`periodization`: .. _`Modes.periodization`: * ``periodization`` - **periodization** - is like `periodic-padding`_ but gives the smallest possible number of decomposition coefficients. :ref:`IDWT ` must be performed with the same mode. **Example:** .. sourcecode:: python >>> import pywt >>> print pywt.Modes.modes ['zero', 'constant', 'symmetric', 'periodic', 'smooth', 'periodization'] Notice that you can use any of the following ways of passing wavelet and mode parameters: .. sourcecode:: python >>> import pywt >>> (a, d) = pywt.dwt([1,2,3,4,5,6], 'db2', 'smooth') >>> (a, d) = pywt.dwt([1,2,3,4,5,6], pywt.Wavelet('db2'), pywt.Modes.smooth) .. note:: Extending data in context of PyWavelets does not mean reallocation of the data in computer's physical memory and copying values, but rather computing the extra values only when they are needed. This feature saves extra memory and CPU resources and helps to avoid page swapping when handling relatively big data arrays on computers with low physical memory. Naming Conventions ------------------ The correspondence between PyWavelets edge modes and the extension modes available in Matlab's dwtmode and numpy's pad are tabulated here for reference. ================== ============= =================== **PyWavelets** **Matlab** **numpy.pad** ================== ============= =================== symmetric sym, symh symmetric reflect symw reflect smooth spd, sp1 N/A constant sp0 edge zero zpd constant, cval=0 periodic ppd wrap periodization per N/A N/A asym, asymh N/A N/A asymw N/A ================== ============= =================== PyWavelets-0.5.1/doc/source/ref/swt-stationary-wavelet-transform.rst0000755€>SK[€>P0000000145113017375750027633 0ustar lee8rxdomain^users00000000000000.. _ref-swt: .. currentmodule:: pywt .. include:: ../substitutions.rst Stationary Wavelet Transform ---------------------------- `Stationary Wavelet Transform (SWT) `_, also known as *Undecimated wavelet transform* or *Algorithme Γ  trous* is a translation-invariance modification of the *Discrete Wavelet Transform* that does not decimate coefficients at every transformation level. Multilevel 1D ``swt`` ~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: swt Multilevel 2D ``swt2`` ~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: swt2 Multilevel n-dimensional ``swtn`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: swtn Maximum decomposition level - ``swt_max_level`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autofunction:: swt_max_level PyWavelets-0.5.1/doc/source/ref/thresholding-functions.rst0000755€>SK[€>P0000000037613017375740025651 0ustar lee8rxdomain^users00000000000000.. _ref-thresholding: .. currentmodule:: pywt Thresholding functions ====================== The :mod:`~pywt.thresholding` helper module implements the most popular signal thresholding functions. Thresholding ------------ .. autofunction:: threshold PyWavelets-0.5.1/doc/source/ref/wavelet-packets.rst0000755€>SK[€>P0000002607213017375740024251 0ustar lee8rxdomain^users00000000000000.. _ref-wp: .. currentmodule:: pywt .. include:: ../substitutions.rst =============== Wavelet Packets =============== .. versionadded:: 0.2 Version `0.2` of PyWavelets includes many new features and improvements. One of such new feature is a two-dimensional wavelet packet transform structure that is almost completely sharing programming interface with the one-dimensional tree structure. In order to achieve this simplification, a new inheritance scheme was used in which a :class:`~pywt.BaseNode` base node class is a superclass for both :class:`~pywt.Node` and :class:`~pywt.Node2D` node classes. The node classes are used as data wrappers and can be organized in trees (binary trees for 1D transform case and quad-trees for the 2D one). They are also superclasses to the :class:`~pywt.WaveletPacket` class and :class:`~pywt.WaveletPacket2D` class that are used as the decomposition tree roots and contain a couple additional methods. The below diagram illustrates the inheritance tree: - :class:`~pywt.BaseNode` - common interface for 1D and 2D nodes: - :class:`~pywt.Node` - data carrier node in a 1D decomposition tree - :class:`~pywt.WaveletPacket` - 1D decomposition tree root node - :class:`~pywt.Node2D` - data carrier node in a 2D decomposition tree - :class:`~pywt.WaveletPacket2D` - 2D decomposition tree root node BaseNode - a common interface of WaveletPacket and WaveletPacket2D ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. class:: BaseNode Node(BaseNode) WaveletPacket(Node) Node2D(BaseNode) WaveletPacket2D(Node2D) .. note:: The BaseNode is a base class for :class:`Node` and :class:`Node2D`. It should not be used directly unless creating a new transformation type. It is included here to document the common interface of 1D and 2D node an wavelet packet transform classes. .. method:: __init__(parent, data, node_name) :param parent: parent node. If parent is ``None`` then the node is considered detached. :param data: data associated with the node. 1D or 2D numeric array, depending on the transform type. :param node_name: a name identifying the coefficients type. See :attr:`Node.node_name` and :attr:`Node2D.node_name` for information on the accepted subnodes names. .. attribute:: data Data associated with the node. 1D or 2D numeric array (depends on the transform type). .. attribute:: parent Parent node. Used in tree navigation. ``None`` for root node. .. attribute:: wavelet :class:`~pywt.Wavelet` used for decomposition and reconstruction. Inherited from parent node. .. attribute:: mode Signal extension :ref:`mode ` for the :func:`dwt` (:func:`dwt2`) and :func:`idwt` (:func:`idwt2`) decomposition and reconstruction functions. Inherited from parent node. .. attribute:: level Decomposition level of the current node. ``0`` for root (original data), ``1`` for the first decomposition level, etc. .. attribute:: path Path string defining position of the node in the decomposition tree. .. attribute:: node_name Node name describing :attr:`~BaseNode.data` coefficients type of the current subnode. See :attr:`Node.node_name` and :attr:`Node2D.node_name`. .. attribute:: maxlevel Maximum allowed level of decomposition. Evaluated from parent or child nodes. .. attribute:: is_empty Checks if :attr:`~BaseNode.data` attribute is ``None``. .. attribute:: has_any_subnode Checks if node has any subnodes (is not a leaf node). .. method:: decompose() Performs Discrete Wavelet Transform on the :attr:`~BaseNode.data` and returns transform coefficients. .. method:: reconstruct([update=False]) Performs Inverse Discrete Wavelet Transform on subnodes coefficients and returns reconstructed data for the current level. :param update: If set, the :attr:`~BaseNode.data` attribute will be updated with the reconstructed value. .. note:: Descends to subnodes and recursively calls :meth:`~BaseNode.reconstruct` on them. .. method:: get_subnode(part[, decompose=True]) Returns subnode or None (see *decomposition* flag description). :param part: Subnode name :param decompose: If True and subnode does not exist, it will be created using coefficients from the DWT decomposition of the current node. .. method:: __getitem__(path) Used to access nodes in the decomposition tree by string ``path``. :param path: Path string composed from valid node names. See :attr:`Node.node_name` and :attr:`Node2D.node_name` for node naming convention. Similar to :meth:`~BaseNode.get_subnode` method with `decompose=True`, but can access nodes on any level in the decomposition tree. If node does not exist yet, it will be created by decomposition of its parent node. .. method:: __setitem__(path, data) Used to set node or node's data in the decomposition tree. Nodes are identified by string ``path``. :param path: Path string composed from valid node names. See :attr:`Node.node_name` and :attr:`Node2D.node_name` for node naming convention. :param data: numeric array or :class:`~BaseNode` subclass. .. method:: __delitem__(path) Used to delete node from the decomposition tree. :param path: Path string composed from valid node names. See :attr:`Node.node_name` and :attr:`Node2D.node_name` for node naming convention. .. method:: get_leaf_nodes([decompose=False]) Traverses through the decomposition tree and collects leaf nodes (nodes without any subnodes). :param decompose: If ``decompose`` is ``True``, the method will try to decompose the tree up to the :attr:`maximum level `. .. method:: walk(self, func, [args=(), [kwargs={}, [decompose=True]]]) Traverses the decomposition tree and calls ``func(node, *args, **kwargs)`` on every node. If `func` returns ``True``, descending to subnodes will continue. :param func: callable accepting :class:`BaseNode` as the first param and optional positional and keyword arguments:: func(node, *args, **kwargs) :args: arguments to pass to the ``func`` :kwargs: keyword arguments to pass to the ``func`` :param decompose: If ``decompose`` is ``True`` (default), the method will also try to decompose the tree up to the :attr:`maximum level `. .. method:: walk_depth(self, func, [args=(), [kwargs={}, [decompose=False]]]) Similar to :meth:`~BaseNode.walk` but traverses the tree in depth-first order. :param func: callable accepting :class:`BaseNode` as the first param and optional positional and keyword arguments:: func(node, *args, **kwargs) :args: arguments to pass to the ``func`` :kwargs: keyword arguments to pass to the ``func`` :param decompose: If ``decompose`` is ``True``, the method will also try to decompose the tree up to the :attr:`maximum level `. WaveletPacket and WaveletPacket tree Node ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. class:: Node(BaseNode) WaveletPacket(Node) .. attribute:: node_name Node name describing :attr:`~BaseNode.data` coefficients type of the current subnode. For :class:`WaveletPacket` case it is just as in :func:`dwt`: - ``a`` - approximation coefficients - ``d`` - details coefficients .. method:: decompose() .. seealso:: - :func:`dwt` for 1D Discrete Wavelet Transform output coefficients. .. class:: WaveletPacket(Node) .. method:: __init__(data, wavelet, [mode='symmetric', [maxlevel=None]]) :param data: data associated with the node. 1D numeric array. :param wavelet: |wavelet| :param mode: Signal extension :ref:`mode ` for the :func:`dwt` and :func:`idwt` decomposition and reconstruction functions. :param maxlevel: Maximum allowed level of decomposition. If not specified it will be calculated based on the ``wavelet`` and ``data`` length using :func:`pywt.dwt_max_level`. .. method:: get_level(level, [order="natural", [decompose=True]]) Collects nodes from the given level of decomposition. :param level: Specifies decomposition ``level`` from which the nodes will be collected. :param order: Specifies nodes order - natural (``natural``) or frequency (``freq``). :param decompose: If set then the method will try to decompose the data up to the specified ``level``. If nodes at the given level are missing (i.e. the tree is partially decomposed) and the ``decompose`` is set to ``False``, only existing nodes will be returned. WaveletPacket2D and WaveletPacket2D tree Node2D ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. class:: Node2D(BaseNode) WaveletPacket2D(Node2D) .. attribute:: node_name For :class:`WaveletPacket2D` case it is just as in :func:`dwt2`: - ``a`` - approximation coefficients (`LL`) - ``h`` - horizontal detail coefficients (`LH`) - ``v`` - vertical detail coefficients (`HL`) - ``d`` - diagonal detail coefficients (`HH`) .. method:: decompose() .. seealso:: :func:`dwt2` for 2D Discrete Wavelet Transform output coefficients. .. method:: expand_2d_path(self, path): .. class:: WaveletPacket2D(Node2D) .. method:: __init__(data, wavelet, [mode='symmetric', [maxlevel=None]]) :param data: data associated with the node. 2D numeric array. :param wavelet: |wavelet| :param mode: Signal extension :ref:`mode ` for the :func:`dwt` and :func:`idwt` decomposition and reconstruction functions. :param maxlevel: Maximum allowed level of decomposition. If not specified it will be calculated based on the ``wavelet`` and ``data`` length using :func:`pywt.dwt_max_level`. .. method:: get_level(level, [order="natural", [decompose=True]]) Collects nodes from the given level of decomposition. :param level: Specifies decomposition ``level`` from which the nodes will be collected. :param order: Specifies nodes order - natural (``natural``) or frequency (``freq``). :param decompose: If set then the method will try to decompose the data up to the specified ``level``. If nodes at the given level are missing (i.e. the tree is partially decomposed) and the ``decompose`` is set to ``False``, only existing nodes will be returned. PyWavelets-0.5.1/doc/source/ref/wavelets.rst0000755€>SK[€>P0000002454013017375740023002 0ustar lee8rxdomain^users00000000000000.. _ref-wavelets: .. currentmodule:: pywt ======== Wavelets ======== Wavelet ``families()`` ---------------------- .. autofunction:: families Built-in wavelets - ``wavelist()`` ---------------------------------- .. autofunction:: wavelist Custom user wavelets are also supported through the :class:`Wavelet` object constructor as described below. ``Wavelet`` object ------------------ .. class:: Wavelet(name[, filter_bank=None]) Describes properties of a wavelet identified by the specified wavelet ``name``. In order to use a built-in wavelet the ``name`` parameter must be a valid wavelet name from the :func:`pywt.wavelist` list. Custom Wavelet objects can be created by passing a user-defined filters set with the ``filter_bank`` parameter. :param name: Wavelet name :param filter_bank: Use a user supplied filter bank instead of a built-in :class:`Wavelet`. The filter bank object can be a list of four filters coefficients or an object with :attr:`~Wavelet.filter_bank` attribute, which returns a list of such filters in the following order:: [dec_lo, dec_hi, rec_lo, rec_hi] Wavelet objects can also be used as a base filter banks. See section on :ref:`using custom wavelets ` for more information. **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.Wavelet('db1') .. attribute:: name Wavelet name. .. attribute:: short_name Short wavelet name. .. attribute:: dec_lo Decomposition filter values. .. attribute:: dec_hi Decomposition filter values. .. attribute:: rec_lo Reconstruction filter values. .. attribute:: rec_hi Reconstruction filter values. .. attribute:: dec_len Decomposition filter length. .. attribute:: rec_len Reconstruction filter length. .. attribute:: filter_bank Returns filters list for the current wavelet in the following order:: [dec_lo, dec_hi, rec_lo, rec_hi] .. attribute:: inverse_filter_bank Returns list of reverse wavelet filters coefficients. The mapping from the ``filter_coeffs`` list is as follows:: [rec_lo[::-1], rec_hi[::-1], dec_lo[::-1], dec_hi[::-1]] .. attribute:: short_family_name Wavelet short family name .. attribute:: family_name Wavelet family name .. attribute:: orthogonal Set if wavelet is orthogonal .. attribute:: biorthogonal Set if wavelet is biorthogonal .. attribute:: symmetry ``asymmetric``, ``near symmetric``, ``symmetric`` .. attribute:: vanishing_moments_psi Number of vanishing moments for the wavelet function .. attribute:: vanishing_moments_phi Number of vanishing moments for the scaling function **Example:** .. sourcecode:: python >>> def format_array(arr): ... return "[%s]" % ", ".join(["%.14f" % x for x in arr]) >>> import pywt >>> wavelet = pywt.Wavelet('db1') >>> print(wavelet) Wavelet db1 Family name: Daubechies Short name: db Filters length: 2 Orthogonal: True Biorthogonal: True Symmetry: asymmetric DWT: True CWT: False >>> print(format_array(wavelet.dec_lo), format_array(wavelet.dec_hi)) [0.70710678118655, 0.70710678118655] [-0.70710678118655, 0.70710678118655] >>> print(format_array(wavelet.rec_lo), format_array(wavelet.rec_hi)) [0.70710678118655, 0.70710678118655] [0.70710678118655, -0.70710678118655] Approximating wavelet and scaling functions - ``Wavelet.wavefun()`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. method:: Wavelet.wavefun(level) .. versionchanged:: 0.2 The time (space) localisation of approximation function points was added. The :meth:`~Wavelet.wavefun` method can be used to calculate approximations of scaling function (``phi``) and wavelet function (``psi``) at the given level of refinement. For :attr:`orthogonal ` wavelets returns approximations of scaling function and wavelet function with corresponding x-grid coordinates:: [phi, psi, x] = wavelet.wavefun(level) **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.Wavelet('db2') >>> phi, psi, x = wavelet.wavefun(level=5) For other (:attr:`biorthogonal ` but not :attr:`orthogonal `) wavelets returns approximations of scaling and wavelet function both for decomposition and reconstruction and corresponding x-grid coordinates:: [phi_d, psi_d, phi_r, psi_r, x] = wavelet.wavefun(level) **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.Wavelet('bior3.5') >>> phi_d, psi_d, phi_r, psi_r, x = wavelet.wavefun(level=5) .. See also plots of Daubechies and Symlets wavelet families generated using the :meth:`~Wavelet.wavefun` function: - `db.png`_ - `sym.png`_ .. seealso:: You can find live examples of :meth:`~Wavelet.wavefun` usage and images of all the built-in wavelets on the `Wavelet Properties Browser `_ page. .. _using-custom-wavelets: .. _custom-wavelets: Using custom wavelets --------------------- PyWavelets comes with a :func:`long list ` of the most popular wavelets built-in and ready to use. If you need to use a specific wavelet which is not included in the list it is very easy to do so. Just pass a list of four filters or an object with a :attr:`~Wavelet.filter_bank` attribute as a ``filter_bank`` argument to the :class:`Wavelet` constructor. .. compound:: The filters list, either in a form of a simple Python list or returned via the :attr:`~Wavelet.filter_bank` attribute, must be in the following order: * lowpass decomposition filter * highpass decomposition filter * lowpass reconstruction filter * highpass reconstruction filter just as for the :attr:`~Wavelet.filter_bank` attribute of the :class:`Wavelet` class. The Wavelet object created in this way is a standard :class:`Wavelet` instance. The following example illustrates the way of creating custom Wavelet objects from plain Python lists of filter coefficients and a *filter bank-like* object. **Example:** .. sourcecode:: python >>> import pywt, math >>> c = math.sqrt(2)/2 >>> dec_lo, dec_hi, rec_lo, rec_hi = [c, c], [-c, c], [c, c], [c, -c] >>> filter_bank = [dec_lo, dec_hi, rec_lo, rec_hi] >>> myWavelet = pywt.Wavelet(name="myHaarWavelet", filter_bank=filter_bank) >>> >>> class HaarFilterBank(object): ... @property ... def filter_bank(self): ... c = math.sqrt(2)/2 ... dec_lo, dec_hi, rec_lo, rec_hi = [c, c], [-c, c], [c, c], [c, -c] ... return [dec_lo, dec_hi, rec_lo, rec_hi] >>> filter_bank = HaarFilterBank() >>> myOtherWavelet = pywt.Wavelet(name="myHaarWavelet", filter_bank=filter_bank) ``ContinuousWavelet`` object ---------------------------- .. class:: ContinuousWavelet(name) Describes properties of a continous wavelet identified by the specified wavelet ``name``. In order to use a built-in wavelet the ``name`` parameter must be a valid wavelet name from the :func:`pywt.wavelist` list. :param name: Wavelet name **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.ContinuousWavelet('gaus1') .. attribute:: name Continuous Wavelet name. .. attribute:: short_family_name Wavelet short family name .. attribute:: family_name Wavelet family name .. attribute:: orthogonal Set if wavelet is orthogonal .. attribute:: biorthogonal Set if wavelet is biorthogonal .. attribute:: complex_cwt Returns if wavelet is complex .. attribute:: lower_bound Set the lower bound of the effective support .. attribute:: upper_bound Set the upper bound of the effective support .. attribute:: center_frequency Set the center frequency for the shan, fbsp and cmor wavelets .. attribute:: bandwidth_frequency Set the bandwidth frequency for the shan, fbsp and cmor wavelets .. attribute:: fbsp_order Set the order for the fbsp wavelet .. attribute:: symmetry ``asymmetric``, ``near symmetric``, ``symmetric``, ``anti-symmetric`` **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.ContinuousWavelet('gaus1') >>> print(wavelet) ContinuousWavelet gaus1 Family name: Gaussian Short name: db Symmetry: anti-symmetric DWT: False CWT: True Complex CWT: False Approximating wavelet functions - ``ContinuousWavelet.wavefun()`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. method:: ContinuousWavelet.wavefun(level, length = None) The :meth:`~ContinuousWavelet.wavefun` method can be used to calculate approximations of scaling function (``psi``) with grid (``x``). The vector length is set by ``length``. The vector length can also be defined by ``2**level`` if ``length`` is not set. For :attr:`complex_cwt ` wavelets returns a complex approximations of wavelet function with corresponding x-grid coordinates:: [psi, x] = wavelet.wavefun(level) **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.ContinuousWavelet('gaus1') >>> psi, x = wavelet.wavefun(level=5) Approximating wavelet functions - ``ContinuousWavelet.wavefun()`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. method:: DiscreteContinuousWavelet(name, [filter_bank = None]) The :meth:`~DiscreteContinuousWavelet` returns a Wavelet or a ContinuousWavelet object depending on the given name. **Example:** .. sourcecode:: python >>> import pywt >>> wavelet = pywt.DiscreteContinuousWavelet('db1') >>> print(wavelet) Wavelet db1 Family name: Daubechies Short name: db Filters length: 2 Orthogonal: True Biorthogonal: True Symmetry: asymmetric DWT: True CWT: False >>> wavelet = pywt.DiscreteContinuousWavelet('gaus1') >>> print(wavelet) ContinuousWavelet gaus1 Family name: Gaussian Short name: db Symmetry: anti-symmetric DWT: False CWT: True Complex CWT: False PyWavelets-0.5.1/doc/source/regression/0000755€>SK[€>P0000000000013017376010022001 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/doc/source/regression/dwt-idwt.rst0000755€>SK[€>P0000001253013017375740024313 0ustar lee8rxdomain^users00000000000000.. _reg-dwt-idwt: .. currentmodule:: pywt DWT and IDWT ============ Discrete Wavelet Transform -------------------------- Let's do a :func:`Discrete Wavelet Transform ` of a sample data ``x`` using the ``db2`` wavelet. It's simple.. >>> import pywt >>> x = [3, 7, 1, 1, -2, 5, 4, 6] >>> cA, cD = pywt.dwt(x, 'db2') And the approximation and details coefficients are in ``cA`` and ``cD`` respectively: >>> print(cA) [ 5.65685425 7.39923721 0.22414387 3.33677403 7.77817459] >>> print(cD) [-2.44948974 -1.60368225 -4.44140056 -0.41361256 1.22474487] Inverse Discrete Wavelet Transform ---------------------------------- Now let's do an opposite operation - :func:`Inverse Discrete Wavelet Transform `: >>> print(pywt.idwt(cA, cD, 'db2')) [ 3. 7. 1. 1. -2. 5. 4. 6.] VoilΓ ! That's it! More Examples ------------- Now let's experiment with the :func:`dwt` some more. For example let's pass a :class:`Wavelet` object instead of the wavelet name and specify signal extension mode (the default is :ref:`symmetric `) for the border effect handling: >>> w = pywt.Wavelet('sym3') >>> cA, cD = pywt.dwt(x, wavelet=w, mode='constant') >>> print(cA) [ 4.38354585 3.80302657 7.31813271 -0.58565539 4.09727044 7.81994027] >>> print(cD) [-1.33068221 -2.78795192 -3.16825651 -0.67715519 -0.09722957 -0.07045258] Note that the output coefficients arrays length depends not only on the input data length but also on the :class:Wavelet type (particularly on its :attr:`filters lenght <~Wavelet.dec_len>` that are used in the transformation). To find out what will be the output data size use the :func:`dwt_coeff_len` function: >>> # int() is for normalizing Python integers and long integers for documentation tests >>> int(pywt.dwt_coeff_len(data_len=len(x), filter_len=w.dec_len, mode='symmetric')) 6 >>> int(pywt.dwt_coeff_len(len(x), w, 'symmetric')) 6 >>> len(cA) 6 Looks fine. (And if you expected that the output length would be a half of the input data length, well, that's the trade-off that allows for the perfect reconstruction...). The third argument of the :func:`dwt_coeff_len` is the already mentioned signal extension mode (please refer to the PyWavelets' documentation for the :ref:`modes ` description). Currently there are six :ref:`extension modes ` available: >>> pywt.Modes.modes ['zero', 'constant', 'symmetric', 'periodic', 'smooth', 'periodization', 'reflect'] As you see in the above example, the :ref:`periodization ` (periodization) mode is slightly different from the others. It's aim when doing the :func:`DWT ` transform is to output coefficients arrays that are half of the length of the input data. Knowing that, you should never mix the periodization mode with other modes when doing :func:`DWT ` and :func:`IDWT `. Otherwise, it will produce **invalid results**: >>> x [3, 7, 1, 1, -2, 5, 4, 6] >>> cA, cD = pywt.dwt(x, wavelet=w, mode='periodization') >>> print(pywt.idwt(cA, cD, 'sym3', 'symmetric')) # invalid mode [ 1. 1. -2. 5.] >>> print(pywt.idwt(cA, cD, 'sym3', 'periodization')) [ 3. 7. 1. 1. -2. 5. 4. 6.] Tips & tricks ------------- Passing ``None`` instead of coefficients data to :func:`idwt` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Now some tips & tricks. Passing ``None`` as one of the coefficient arrays parameters is similar to passing a *zero-filled* array. The results are simply the same: >>> print(pywt.idwt([1,2,0,1], None, 'db2', 'symmetric')) [ 1.19006969 1.54362308 0.44828774 -0.25881905 0.48296291 0.8365163 ] >>> print(pywt.idwt([1, 2, 0, 1], [0, 0, 0, 0], 'db2', 'symmetric')) [ 1.19006969 1.54362308 0.44828774 -0.25881905 0.48296291 0.8365163 ] >>> print(pywt.idwt(None, [1, 2, 0, 1], 'db2', 'symmetric')) [ 0.57769726 -0.93125065 1.67303261 -0.96592583 -0.12940952 -0.22414387] >>> print(pywt.idwt([0, 0, 0, 0], [1, 2, 0, 1], 'db2', 'symmetric')) [ 0.57769726 -0.93125065 1.67303261 -0.96592583 -0.12940952 -0.22414387] Remember that only one argument at a time can be ``None``: >>> print(pywt.idwt(None, None, 'db2', 'symmetric')) Traceback (most recent call last): ... ValueError: At least one coefficient parameter must be specified. Coefficients data size in :attr:`idwt` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ When doing the :func:`IDWT ` transform, usually the coefficient arrays must have the same size. >>> print(pywt.idwt([1, 2, 3, 4, 5], [1, 2, 3, 4], 'db2', 'symmetric')) Traceback (most recent call last): ... ValueError: Coefficients arrays must have the same size. Not every coefficient array can be used in :func:`IDWT `. In the following example the :func:`idwt` will fail because the input arrays are invalid - they couldn't be created as a result of :func:`DWT `, because the minimal output length for dwt using ``db4`` wavelet and the :ref:`symmetric ` mode is ``4``, not ``3``: >>> pywt.idwt([1,2,4], [4,1,3], 'db4', 'symmetric') Traceback (most recent call last): ... ValueError: Invalid coefficient arrays length for specified wavelet. Wavelet and mode must be the same as used for decomposition. >>> int(pywt.dwt_coeff_len(1, pywt.Wavelet('db4').dec_len, 'symmetric')) 4 PyWavelets-0.5.1/doc/source/regression/gotchas.rst0000755€>SK[€>P0000000111613017375740024176 0ustar lee8rxdomain^users00000000000000.. _reg-gotchas: .. currentmodule:: pywt ======= Gotchas ======= PyWavelets utilizes ``NumPy`` under the hood. That's why handling the data containing ``None`` values can be surprising. ``None`` values are converted to 'not a number' (``numpy.NaN``) values: >>> import numpy, pywt >>> x = [None, None] >>> mode = 'symmetric' >>> wavelet = 'db1' >>> cA, cD = pywt.dwt(x, wavelet, mode) >>> numpy.all(numpy.isnan(cA)) True >>> numpy.all(numpy.isnan(cD)) True >>> rec = pywt.idwt(cA, cD, wavelet, mode) >>> numpy.all(numpy.isnan(rec)) True PyWavelets-0.5.1/doc/source/regression/index.rst0000755€>SK[€>P0000000061613017375740023661 0ustar lee8rxdomain^users00000000000000.. _reg-index: .. currentmodule:: pywt Usage examples ============== The following examples are used as doctest regression tests written using reST markup. They are included in the documentation since they contain various useful examples illustrating how to use and how not to use PyWavelets. .. toctree:: :maxdepth: 1 wavelet modes dwt-idwt multilevel wp wp2d gotchas PyWavelets-0.5.1/doc/source/regression/modes.rst0000755€>SK[€>P0000000370413017375740023662 0ustar lee8rxdomain^users00000000000000.. _reg-modes: .. currentmodule:: pywt Signal Extension Modes ====================== Import :mod:`pywt` first >>> import pywt >>> def format_array(a): ... """Consistent array representation across different systems""" ... import numpy ... a = numpy.where(numpy.abs(a) < 1e-5, 0, a) ... return numpy.array2string(a, precision=5, separator=' ', suppress_small=True) List of available signal extension :ref:`modes `: >>> print(pywt.Modes.modes) ['zero', 'constant', 'symmetric', 'periodic', 'smooth', 'periodization', 'reflect'] Invalid mode name should rise a :exc:`ValueError`: >>> pywt.dwt([1,2,3,4], 'db2', 'invalid') Traceback (most recent call last): ... ValueError: Unknown mode name 'invalid'. You can also refer to modes via :ref:`Modes ` class attributes: >>> x = [1, 2, 1, 5, -1, 8, 4, 6] >>> for mode_name in ['zero', 'constant', 'symmetric', 'reflect', 'periodic', 'smooth', 'periodization']: ... mode = getattr(pywt.Modes, mode_name) ... cA, cD = pywt.dwt(x, 'db2', mode) ... print("Mode: %d (%s)" % (mode, mode_name)) Mode: 0 (zero) Mode: 2 (constant) Mode: 1 (symmetric) Mode: 6 (reflect) Mode: 4 (periodic) Mode: 3 (smooth) Mode: 5 (periodization) The default mode is :ref:`symmetric `: >>> cA, cD = pywt.dwt(x, 'db2') >>> print(cA) [ 1.76776695 1.73309178 3.40612438 6.32928585 7.77817459] >>> print(cD) [-0.61237244 -2.15599552 -5.95034847 -1.21545369 1.22474487] >>> print(pywt.idwt(cA, cD, 'db2')) [ 1. 2. 1. 5. -1. 8. 4. 6.] And using a keyword argument: >>> cA, cD = pywt.dwt(x, 'db2', mode='symmetric') >>> print(cA) [ 1.76776695 1.73309178 3.40612438 6.32928585 7.77817459] >>> print(cD) [-0.61237244 -2.15599552 -5.95034847 -1.21545369 1.22474487] >>> print(pywt.idwt(cA, cD, 'db2')) [ 1. 2. 1. 5. -1. 8. 4. 6.] PyWavelets-0.5.1/doc/source/regression/multilevel.rst0000755€>SK[€>P0000000271413017375740024735 0ustar lee8rxdomain^users00000000000000.. _reg-multilevel: .. currentmodule:: pywt Multilevel DWT, IDWT and SWT ============================ Multilevel DWT decomposition ---------------------------- >>> import pywt >>> x = [3, 7, 1, 1, -2, 5, 4, 6] >>> db1 = pywt.Wavelet('db1') >>> cA3, cD3, cD2, cD1 = pywt.wavedec(x, db1) >>> print(cA3) [ 8.83883476] >>> print(cD3) [-0.35355339] >>> print(cD2) [ 4. -3.5] >>> print(cD1) [-2.82842712 0. -4.94974747 -1.41421356] >>> pywt.dwt_max_level(len(x), db1) 3 >>> cA2, cD2, cD1 = pywt.wavedec(x, db1, mode='constant', level=2) Multilevel IDWT reconstruction ------------------------------ >>> coeffs = pywt.wavedec(x, db1) >>> print(pywt.waverec(coeffs, db1)) [ 3. 7. 1. 1. -2. 5. 4. 6.] Multilevel SWT decomposition ---------------------------- >>> x = [3, 7, 1, 3, -2, 6, 4, 6] >>> (cA2, cD2), (cA1, cD1) = pywt.swt(x, db1, level=2) >>> print(cA1) [ 7.07106781 5.65685425 2.82842712 0.70710678 2.82842712 7.07106781 7.07106781 6.36396103] >>> print(cD1) [-2.82842712 4.24264069 -1.41421356 3.53553391 -5.65685425 1.41421356 -1.41421356 2.12132034] >>> print(cA2) [ 7. 4.5 4. 5.5 7. 9.5 10. 8.5] >>> print(cD2) [ 3. 3.5 0. -4.5 -3. 0.5 0. 0.5] >>> [(cA2, cD2)] = pywt.swt(cA1, db1, level=1, start_level=1) >>> print(cA2) [ 7. 4.5 4. 5.5 7. 9.5 10. 8.5] >>> print(cD2) [ 3. 3.5 0. -4.5 -3. 0.5 0. 0.5] >>> coeffs = pywt.swt(x, db1) >>> len(coeffs) 3 >>> pywt.swt_max_level(len(x)) 3 PyWavelets-0.5.1/doc/source/regression/wavelet.rst0000755€>SK[€>P0000001750313017375740024224 0ustar lee8rxdomain^users00000000000000.. _reg-wavelet: .. currentmodule:: pywt The Wavelet object ================== Wavelet families and builtin Wavelets names ------------------------------------------- :class:`Wavelet` objects are really a handy carriers of a bunch of DWT-specific data like *quadrature mirror filters* and some general properties associated with them. At first let's go through the methods of creating a :class:`Wavelet` object. The easiest and the most convenient way is to use builtin named Wavelets. These wavelets are organized into groups called wavelet families. The most commonly used families are: >>> import pywt >>> pywt.families() ['haar', 'db', 'sym', 'coif', 'bior', 'rbio', 'dmey', 'gaus', 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor'] The :func:`wavelist` function with family name passed as an argument is used to obtain the list of wavelet names in each family. >>> for family in pywt.families(): ... print("%s family: " % family + ', '.join(pywt.wavelist(family))) haar family: haar db family: db1, db2, db3, db4, db5, db6, db7, db8, db9, db10, db11, db12, db13, db14, db15, db16, db17, db18, db19, db20, db21, db22, db23, db24, db25, db26, db27, db28, db29, db30, db31, db32, db33, db34, db35, db36, db37, db38 sym family: sym2, sym3, sym4, sym5, sym6, sym7, sym8, sym9, sym10, sym11, sym12, sym13, sym14, sym15, sym16, sym17, sym18, sym19, sym20 coif family: coif1, coif2, coif3, coif4, coif5, coif6, coif7, coif8, coif9, coif10, coif11, coif12, coif13, coif14, coif15, coif16, coif17 bior family: bior1.1, bior1.3, bior1.5, bior2.2, bior2.4, bior2.6, bior2.8, bior3.1, bior3.3, bior3.5, bior3.7, bior3.9, bior4.4, bior5.5, bior6.8 rbio family: rbio1.1, rbio1.3, rbio1.5, rbio2.2, rbio2.4, rbio2.6, rbio2.8, rbio3.1, rbio3.3, rbio3.5, rbio3.7, rbio3.9, rbio4.4, rbio5.5, rbio6.8 dmey family: dmey gaus family: gaus1, gaus2, gaus3, gaus4, gaus5, gaus6, gaus7, gaus8 mexh family: mexh morl family: morl cgau family: cgau1, cgau2, cgau3, cgau4, cgau5, cgau6, cgau7, cgau8 shan family: shan fbsp family: fbsp cmor family: cmor To get the full list of builtin wavelets' names just use the :func:`wavelist` with no argument. Creating Wavelet objects ------------------------ Now when we know all the names let's finally create a :class:`Wavelet` object: >>> w = pywt.Wavelet('db3') So.. that's it. Wavelet properties ------------------ But what can we do with :class:`Wavelet` objects? Well, they carry some interesting information. First, let's try printing a :class:`Wavelet` object. This shows a brief information about its name, its family name and some properties like orthogonality and symmetry. >>> print(w) Wavelet db3 Family name: Daubechies Short name: db Filters length: 6 Orthogonal: True Biorthogonal: True Symmetry: asymmetric DWT: True CWT: False But the most important information are the wavelet filters coefficients, which are used in :ref:`Discrete Wavelet Transform `. These coefficients can be obtained via the :attr:`~Wavelet.dec_lo`, :attr:`Wavelet.dec_hi`, :attr:`~Wavelet.rec_lo` and :attr:`~Wavelet.rec_hi` attributes, which corresponds to lowpass and highpass decomposition filters and lowpass and highpass reconstruction filters respectively: >>> def print_array(arr): ... print("[%s]" % ", ".join(["%.14f" % x for x in arr])) Another way to get the filters data is to use the :attr:`~Wavelet.filter_bank` attribute, which returns all four filters in a tuple: >>> w.filter_bank == (w.dec_lo, w.dec_hi, w.rec_lo, w.rec_hi) True Other Wavelet's properties are: Wavelet :attr:`~Wavelet.name`, :attr:`~Wavelet.short_family_name` and :attr:`~Wavelet.family_name`: >>> print(w.name) db3 >>> print(w.short_family_name) db >>> print(w.family_name) Daubechies - Decomposition (:attr:`~Wavelet.dec_len`) and reconstruction (:attr:`~.Wavelet.rec_len`) filter lengths: >>> int(w.dec_len) # int() is for normalizing longs and ints for doctest 6 >>> int(w.rec_len) 6 - Orthogonality (:attr:`~Wavelet.orthogonal`) and biorthogonality (:attr:`~Wavelet.biorthogonal`): >>> w.orthogonal True >>> w.biorthogonal True - Symmetry (:attr:`~Wavelet.symmetry`): >>> print(w.symmetry) asymmetric - Number of vanishing moments for the scaling function ``phi`` (:attr:`~Wavelet.vanishing_moments_phi`) and the wavelet function ``psi`` (:attr:`~Wavelet.vanishing_moments_psi`) associated with the filters: >>> w.vanishing_moments_phi 0 >>> w.vanishing_moments_psi 3 Now when we know a bit about the builtin Wavelets, let's see how to create :ref:`custom Wavelets ` objects. These can be done in two ways: 1) Passing the filter bank object that implements the ``filter_bank`` attribute. The attribute must return four filters coefficients. >>> class MyHaarFilterBank(object): ... @property ... def filter_bank(self): ... from math import sqrt ... return ([sqrt(2)/2, sqrt(2)/2], [-sqrt(2)/2, sqrt(2)/2], ... [sqrt(2)/2, sqrt(2)/2], [sqrt(2)/2, -sqrt(2)/2]) >>> my_wavelet = pywt.Wavelet('My Haar Wavelet', filter_bank=MyHaarFilterBank()) 2) Passing the filters coefficients directly as the ``filter_bank`` parameter. >>> from math import sqrt >>> my_filter_bank = ([sqrt(2)/2, sqrt(2)/2], [-sqrt(2)/2, sqrt(2)/2], ... [sqrt(2)/2, sqrt(2)/2], [sqrt(2)/2, -sqrt(2)/2]) >>> my_wavelet = pywt.Wavelet('My Haar Wavelet', filter_bank=my_filter_bank) Note that such custom wavelets **will not** have all the properties set to correct values: >>> print(my_wavelet) Wavelet My Haar Wavelet Family name: Short name: Filters length: 2 Orthogonal: False Biorthogonal: False Symmetry: unknown DWT: True CWT: False You can however set a couple of them on your own: >>> my_wavelet.orthogonal = True >>> my_wavelet.biorthogonal = True >>> print(my_wavelet) Wavelet My Haar Wavelet Family name: Short name: Filters length: 2 Orthogonal: True Biorthogonal: True Symmetry: unknown DWT: True CWT: False And now... the ``wavefun``! --------------------------- We all know that the fun with wavelets is in wavelet functions. Now what would be this package without a tool to compute wavelet and scaling functions approximations? This is the purpose of the :meth:`~Wavelet.wavefun` method, which is used to approximate scaling function (``phi``) and wavelet function (``psi``) at the given level of refinement, based on the filters coefficients. The number of returned values varies depending on the wavelet's orthogonality property. For orthogonal wavelets the result is tuple with scaling function, wavelet function and xgrid coordinates. >>> w = pywt.Wavelet('sym3') >>> w.orthogonal True >>> (phi, psi, x) = w.wavefun(level=5) For biorthogonal (non-orthogonal) wavelets different scaling and wavelet functions are used for decomposition and reconstruction, and thus five elements are returned: decomposition scaling and wavelet functions approximations, reconstruction scaling and wavelet functions approximations, and the xgrid. >>> w = pywt.Wavelet('bior1.3') >>> w.orthogonal False >>> (phi_d, psi_d, phi_r, psi_r, x) = w.wavefun(level=5) .. seealso:: You can find live examples of :meth:`~Wavelet.wavefun` usage and images of all the built-in wavelets on the `Wavelet Properties Browser `_ page. PyWavelets-0.5.1/doc/source/regression/wp.rst0000755€>SK[€>P0000001637213017375740023206 0ustar lee8rxdomain^users00000000000000.. _reg-wp: .. currentmodule:: pywt >>> from __future__ import print_function Wavelet Packets =============== Import pywt ----------- >>> import pywt >>> def format_array(a): ... """Consistent array representation across different systems""" ... import numpy ... a = numpy.where(numpy.abs(a) < 1e-5, 0, a) ... return numpy.array2string(a, precision=5, separator=' ', suppress_small=True) Create Wavelet Packet structure ------------------------------- Ok, let's create a sample :class:`WaveletPacket`: >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') The input ``data`` and decomposition coefficients are stored in the :attr:`WaveletPacket.data` attribute: >>> print(wp.data) [1, 2, 3, 4, 5, 6, 7, 8] :class:`Nodes ` are identified by :attr:`paths <~Node.path>`. For the root node the path is ``''`` and the decomposition level is ``0``. >>> print(repr(wp.path)) '' >>> print(wp.level) 0 The ``maxlevel``, if not given as param in the constructor, is automatically computed: >>> print(wp['ad'].maxlevel) 3 Traversing WP tree: ------------------- Accessing subnodes: ~~~~~~~~~~~~~~~~~~~ >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') First check what is the maximum level of decomposition: >>> print(wp.maxlevel) 3 and try accessing subnodes of the WP tree: * 1st level: >>> print(wp['a'].data) [ 2.12132034 4.94974747 7.77817459 10.60660172] >>> print(wp['a'].path) a * 2nd level: >>> print(wp['aa'].data) [ 5. 13.] >>> print(wp['aa'].path) aa * 3rd level: >>> print(wp['aaa'].data) [ 12.72792206] >>> print(wp['aaa'].path) aaa Ups, we have reached the maximum level of decomposition and got an :exc:`IndexError`: >>> print(wp['aaaa'].data) Traceback (most recent call last): ... IndexError: Path length is out of range. Now try some invalid path: >>> print(wp['ac']) Traceback (most recent call last): ... ValueError: Subnode name must be in ['a', 'd'], not 'c'. which just yielded a :exc:`ValueError`. Accessing Node's attributes: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :class:`WaveletPacket` object is a tree data structure, which evaluates to a set of :class:`Node` objects. :class:`WaveletPacket` is just a special subclass of the :class:`Node` class (which in turn inherits from the :class:`BaseNode`). Tree nodes can be accessed using the ``obj[x]`` (:meth:`Node.__getitem__`) operator. Each tree node has a set of attributes: :attr:`~Node.data`, :attr:`~Node.path`, :attr:`~Node.node_name`, :attr:`~Node.parent`, :attr:`~Node.level`, :attr:`~Node.maxlevel` and :attr:`~Node.mode`. >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') >>> print(wp['ad'].data) [-2. -2.] >>> print(wp['ad'].path) ad >>> print(wp['ad'].node_name) d >>> print(wp['ad'].parent.path) a >>> print(wp['ad'].level) 2 >>> print(wp['ad'].maxlevel) 3 >>> print(wp['ad'].mode) symmetric Collecting nodes ~~~~~~~~~~~~~~~~ >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') We can get all nodes on the particular level either in ``natural`` order: >>> print([node.path for node in wp.get_level(3, 'natural')]) ['aaa', 'aad', 'ada', 'add', 'daa', 'dad', 'dda', 'ddd'] or sorted based on the band frequency (``freq``): >>> print([node.path for node in wp.get_level(3, 'freq')]) ['aaa', 'aad', 'add', 'ada', 'dda', 'ddd', 'dad', 'daa'] Note that :meth:`WaveletPacket.get_level` also performs automatic decomposition until it reaches the specified ``level``. Reconstructing data from Wavelet Packets: ----------------------------------------- >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') Now create a new :class:`Wavelet Packet ` and set its nodes with some data. >>> new_wp = pywt.WaveletPacket(data=None, wavelet='db1', mode='symmetric') >>> new_wp['aa'] = wp['aa'].data >>> new_wp['ad'] = [-2., -2.] For convenience, :attr:`Node.data` gets automatically extracted from the :class:`Node` object: >>> new_wp['d'] = wp['d'] And reconstruct the data from the ``aa``, ``ad`` and ``d`` packets. >>> print(new_wp.reconstruct(update=False)) [ 1. 2. 3. 4. 5. 6. 7. 8.] If the ``update`` param in the reconstruct method is set to ``False``, the node's :attr:`~Node.data` will not be updated. >>> print(new_wp.data) None Otherwise, the :attr:`~Node.data` attribute will be set to the reconstructed value. >>> print(new_wp.reconstruct(update=True)) [ 1. 2. 3. 4. 5. 6. 7. 8.] >>> print(new_wp.data) [ 1. 2. 3. 4. 5. 6. 7. 8.] >>> print([n.path for n in new_wp.get_leaf_nodes(False)]) ['aa', 'ad', 'd'] >>> print([n.path for n in new_wp.get_leaf_nodes(True)]) ['aaa', 'aad', 'ada', 'add', 'daa', 'dad', 'dda', 'ddd'] Removing nodes from Wavelet Packet tree: ---------------------------------------- Let's create a sample data: >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') First, start with a tree decomposition at level 2. Leaf nodes in the tree are: >>> dummy = wp.get_level(2) >>> for n in wp.get_leaf_nodes(False): ... print(n.path, format_array(n.data)) aa [ 5. 13.] ad [-2. -2.] da [-1. -1.] dd [ 0. 0.] >>> node = wp['ad'] >>> print(node) ad: [-2. -2.] To remove a node from the WP tree, use Python's ``del obj[x]`` (:class:`Node.__delitem__`): >>> del wp['ad'] The leaf nodes that left in the tree are: >>> for n in wp.get_leaf_nodes(): ... print(n.path, format_array(n.data)) aa [ 5. 13.] da [-1. -1.] dd [ 0. 0.] And the reconstruction is: >>> print(wp.reconstruct()) [ 2. 3. 2. 3. 6. 7. 6. 7.] Now restore the deleted node value. >>> wp['ad'].data = node.data Printing leaf nodes and tree reconstruction confirms the original state of the tree: >>> for n in wp.get_leaf_nodes(False): ... print(n.path, format_array(n.data)) aa [ 5. 13.] ad [-2. -2.] da [-1. -1.] dd [ 0. 0.] >>> print(wp.reconstruct()) [ 1. 2. 3. 4. 5. 6. 7. 8.] Lazy evaluation: ---------------- .. note:: This section is for demonstration of pywt internals purposes only. Do not rely on the attribute access to nodes as presented in this example. >>> x = [1, 2, 3, 4, 5, 6, 7, 8] >>> wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') 1) At first the wp's attribute ``a`` is None >>> print(wp.a) None **Remember that you should not rely on the attribute access.** 2) At first attempt to access the node it is computed via decomposition of its parent node (the wp object itself). >>> print(wp['a']) a: [ 2.12132034 4.94974747 7.77817459 10.60660172] 3) Now the ``wp.a`` is set to the newly created node: >>> print(wp.a) a: [ 2.12132034 4.94974747 7.77817459 10.60660172] And so is ``wp.d``: >>> print(wp.d) d: [-0.70710678 -0.70710678 -0.70710678 -0.70710678] PyWavelets-0.5.1/doc/source/regression/wp2d.rst0000755€>SK[€>P0000003130413017375740023424 0ustar lee8rxdomain^users00000000000000.. _reg-wp2d: .. currentmodule:: pywt 2D Wavelet Packets ================== Import pywt ----------- >>> from __future__ import print_function >>> import pywt >>> import numpy Create 2D Wavelet Packet structure ---------------------------------- Start with preparing test data: >>> x = numpy.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8, 'd') >>> print(x) [[ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.]] Now create a :class:`2D Wavelet Packet ` object: >>> wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') The input ``data`` and decomposition coefficients are stored in the :attr:`WaveletPacket2D.data` attribute: >>> print(wp.data) [[ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.]] :class:`Nodes ` are identified by paths. For the root node the path is ``''`` and the decomposition level is ``0``. >>> print(repr(wp.path)) '' >>> print(wp.level) 0 The :attr:`WaveletPacket2D.maxlevel`, if not given in the constructor, is automatically computed based on the data size: >>> print(wp.maxlevel) 3 Traversing WP tree: ------------------- Wavelet Packet :class:`nodes ` are arranged in a tree. Each node in a WP tree is uniquely identified and addressed by a :attr:`~Node2D.path` string. In the 1D :class:`WaveletPacket` case nodes were accessed using ``'a'`` (approximation) and ``'d'`` (details) path names (each node has two 1D children). Because now we deal with a bit more complex structure (each node has four children), we have four basic path names based on the dwt 2D output convention to address the WP2D structure: * ``a`` - LL, low-low coefficients * ``h`` - LH, low-high coefficients * ``v`` - HL, high-low coefficients * ``d`` - HH, high-high coefficients In other words, subnode naming corresponds to the :func:`dwt2` function output naming convention (as wavelet packet transform is based on the dwt2 transform):: ------------------- | | | | cA(LL) | cH(LH) | | | | (cA, (cH, cV, cD)) <---> ------------------- | | | | cV(HL) | cD(HH) | | | | ------------------- (fig.1: DWT 2D output and interpretation) Knowing what the nodes names are, we can now access them using the indexing operator ``obj[x]`` (:meth:`WaveletPacket2D.__getitem__`): >>> print(wp['a'].data) [[ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.]] >>> print(wp['h'].data) [[ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.]] >>> print(wp['v'].data) [[-1. -1. -1. -1.] [-1. -1. -1. -1.] [-1. -1. -1. -1.] [-1. -1. -1. -1.]] >>> print(wp['d'].data) [[ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.]] Similarly, a subnode of a subnode can be accessed by: >>> print(wp['aa'].data) [[ 10. 26.] [ 10. 26.]] Indexing base :class:`WaveletPacket2D` (as well as 1D :class:`WaveletPacket`) using compound path is just the same as indexing WP subnode: >>> node = wp['a'] >>> print(node['a'].data) [[ 10. 26.] [ 10. 26.]] >>> print(wp['a']['a'].data is wp['aa'].data) True Following down the decomposition path: >>> print(wp['aaa'].data) [[ 36.]] >>> print(wp['aaaa'].data) Traceback (most recent call last): ... IndexError: Path length is out of range. Ups, we have reached the maximum level of decomposition for the ``'aaaa'`` path, which btw. was: >>> print(wp.maxlevel) 3 Now try some invalid path: >>> print(wp['f']) Traceback (most recent call last): ... ValueError: Subnode name must be in ['a', 'h', 'v', 'd'], not 'f'. Accessing Node2D's attributes: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :class:`WaveletPacket2D` is a tree data structure, which evaluates to a set of :class:`Node2D` objects. :class:`WaveletPacket2D` is just a special subclass of the :class:`Node2D` class (which in turn inherits from a :class:`BaseNode`, just like with :class:`Node` and :class:`WaveletPacket` for the 1D case.). >>> print(wp['av'].data) [[-4. -4.] [-4. -4.]] >>> print(wp['av'].path) av >>> print(wp['av'].node_name) v >>> print(wp['av'].parent.path) a >>> print(wp['av'].parent.data) [[ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.]] >>> print(wp['av'].level) 2 >>> print(wp['av'].maxlevel) 3 >>> print(wp['av'].mode) symmetric Collecting nodes ~~~~~~~~~~~~~~~~ We can get all nodes on the particular level using the :meth:`WaveletPacket2D.get_level` method: * 0 level - the root `wp` node: >>> len(wp.get_level(0)) 1 >>> print([node.path for node in wp.get_level(0)]) [''] * 1st level of decomposition: >>> len(wp.get_level(1)) 4 >>> print([node.path for node in wp.get_level(1)]) ['a', 'h', 'v', 'd'] * 2nd level of decomposition: >>> len(wp.get_level(2)) 16 >>> paths = [node.path for node in wp.get_level(2)] >>> for i, path in enumerate(paths): ... if (i+1) % 4 == 0: ... print(path) ... else: ... print(path, end=' ') aa ah av ad ha hh hv hd va vh vv vd da dh dv dd * 3rd level of decomposition: >>> print(len(wp.get_level(3))) 64 >>> paths = [node.path for node in wp.get_level(3)] >>> for i, path in enumerate(paths): ... if (i+1) % 8 == 0: ... print(path) ... else: ... print(path, end=' ') aaa aah aav aad aha ahh ahv ahd ava avh avv avd ada adh adv add haa hah hav had hha hhh hhv hhd hva hvh hvv hvd hda hdh hdv hdd vaa vah vav vad vha vhh vhv vhd vva vvh vvv vvd vda vdh vdv vdd daa dah dav dad dha dhh dhv dhd dva dvh dvv dvd dda ddh ddv ddd Note that :meth:`WaveletPacket2D.get_level` performs automatic decomposition until it reaches the given level. Reconstructing data from Wavelet Packets: ----------------------------------------- Let's create a new empty 2D Wavelet Packet structure and set its nodes values with known data from the previous examples: >>> new_wp = pywt.WaveletPacket2D(data=None, wavelet='db1', mode='symmetric') >>> new_wp['vh'] = wp['vh'].data # [[0.0, 0.0], [0.0, 0.0]] >>> new_wp['vv'] = wp['vh'].data # [[0.0, 0.0], [0.0, 0.0]] >>> new_wp['vd'] = [[0.0, 0.0], [0.0, 0.0]] >>> new_wp['a'] = [[3.0, 7.0, 11.0, 15.0], [3.0, 7.0, 11.0, 15.0], ... [3.0, 7.0, 11.0, 15.0], [3.0, 7.0, 11.0, 15.0]] >>> new_wp['d'] = [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], ... [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]] For convenience, :attr:`Node2D.data` gets automatically extracted from the base :class:`Node2D` object: >>> new_wp['h'] = wp['h'] # all zeros Note: just remember to not assign to the node.data parameter directly (todo). And reconstruct the data from the ``a``, ``d``, ``vh``, ``vv``, ``vd`` and ``h`` packets (Note that ``va`` node was not set and the WP tree is "not complete" - the ``va`` branch will be treated as *zero-array*): >>> print(new_wp.reconstruct(update=False)) [[ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5]] Now set the ``va`` node with the known values and do the reconstruction again: >>> new_wp['va'] = wp['va'].data # [[-2.0, -2.0], [-2.0, -2.0]] >>> print(new_wp.reconstruct(update=False)) [[ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.]] which is just the same as the base sample data ``x``. Of course we can go the other way and remove nodes from the tree. If we delete the ``va`` node, again, we get the "not complete" tree from one of the previous examples: >>> del new_wp['va'] >>> print(new_wp.reconstruct(update=False)) [[ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5] [ 1.5 1.5 3.5 3.5 5.5 5.5 7.5 7.5]] Just restore the node before next examples. >>> new_wp['va'] = wp['va'].data If the ``update`` param in the :meth:`WaveletPacket2D.reconstruct` method is set to ``False``, the node's :attr:`Node2D.data` attribute will not be updated. >>> print(new_wp.data) None Otherwise, the :attr:`WaveletPacket2D.data` attribute will be set to the reconstructed value. >>> print(new_wp.reconstruct(update=True)) [[ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.]] >>> print(new_wp.data) [[ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.] [ 1. 2. 3. 4. 5. 6. 7. 8.]] Since we have an interesting WP structure built, it is a good occasion to present the :meth:`WaveletPacket2D.get_leaf_nodes` method, which collects non-zero leaf nodes from the WP tree: >>> print([n.path for n in new_wp.get_leaf_nodes()]) ['a', 'h', 'va', 'vh', 'vv', 'vd', 'd'] Passing the ``decompose = True`` parameter to the method will force the WP object to do a full decomposition up to the *maximum level* of decomposition: >>> paths = [n.path for n in new_wp.get_leaf_nodes(decompose=True)] >>> len(paths) 64 >>> for i, path in enumerate(paths): ... if (i+1) % 8 == 0: ... print(path) ... else: ... try: ... print(path, end=' ') ... except: ... print(path, end=' ') aaa aah aav aad aha ahh ahv ahd ava avh avv avd ada adh adv add haa hah hav had hha hhh hhv hhd hva hvh hvv hvd hda hdh hdv hdd vaa vah vav vad vha vhh vhv vhd vva vvh vvv vvd vda vdh vdv vdd daa dah dav dad dha dhh dhv dhd dva dvh dvv dvd dda ddh ddv ddd Lazy evaluation: ---------------- .. note:: This section is for demonstration of pywt internals purposes only. Do not rely on the attribute access to nodes as presented in this example. >>> x = numpy.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8) >>> wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') 1) At first the wp's attribute ``a`` is ``None`` >>> print(wp.a) None **Remember that you should not rely on the attribute access.** 2) During the first attempt to access the node it is computed via decomposition of its parent node (the wp object itself). >>> print(wp['a']) a: [[ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.]] 3) Now the ``a`` is set to the newly created node: >>> print(wp.a) a: [[ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.] [ 3. 7. 11. 15.]] And so is `wp.d`: >>> print(wp.d) d: [[ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.]] PyWavelets-0.5.1/doc/source/release.0.3.0.rst0000755€>SK[€>P0000000005013017375740022437 0ustar lee8rxdomain^users00000000000000.. include:: ../release/0.3.0-notes.rst PyWavelets-0.5.1/doc/source/release.0.4.0.rst0000755€>SK[€>P0000000005013017375740022440 0ustar lee8rxdomain^users00000000000000.. include:: ../release/0.4.0-notes.rst PyWavelets-0.5.1/doc/source/release.0.5.0.rst0000755€>SK[€>P0000000005013017375740022441 0ustar lee8rxdomain^users00000000000000.. include:: ../release/0.5.0-notes.rst PyWavelets-0.5.1/doc/source/release.0.5.1.rst0000755€>SK[€>P0000000005013017375750022443 0ustar lee8rxdomain^users00000000000000.. include:: ../release/0.5.1-notes.rst PyWavelets-0.5.1/doc/source/releasenotes.rst0000755€>SK[€>P0000000017713017375750023066 0ustar lee8rxdomain^users00000000000000Release Notes ============= .. toctree:: :maxdepth: 1 release.0.3.0 release.0.4.0 release.0.5.0 release.0.5.1 PyWavelets-0.5.1/doc/source/resources.rst0000755€>SK[€>P0000000203213017375740022376 0ustar lee8rxdomain^users00000000000000.. _ref-resources: ========= Resources ========= Code ---- The `GitHub repository`_ is now the main code repository. If you are using the Mercurial repository at Bitbucket, please switch to Git/GitHub and follow for development updates. Questions and bug reports ------------------------- Use `GitHub Issues`_ or `PyWavelets discussions group`_ to post questions and open tickets. Wavelet Properties Browser -------------------------- Browse properties and graphs of wavelets included in PyWavelets on `wavelets.pybytes.com`_. Articles -------- - `Denoising: wavelet thresholding `_ - `Wavelet Regression in Python `_ .. _GitHub repository: https://github.com/PyWavelets/pywt .. _GitHub Issues: https://github.com/PyWavelets/pywt/issues .. _PyWavelets discussions group: http://groups.google.com/group/pywavelets .. _wavelets.pybytes.com: http://wavelets.pybytes.com/ PyWavelets-0.5.1/doc/source/substitutions.rst0000755€>SK[€>P0000000136613017375750023335 0ustar lee8rxdomain^users00000000000000.. |mode| replace:: Signal extension mode to deal with the border distortion problem. See :ref:`Modes ` for details. .. |data| replace:: Input signal can be NumPy array, Python list or other iterable object. Both *single* and *double* precision floating-point data types are supported and the output type depends on the input type. If the input data is not in one of these types it will be converted to the default *double* precision data format before performing computations. .. |wavelet| replace:: Wavelet to use in the transform. This can be a name of the wavelet from the :func:`wavelist` list or a :class:`Wavelet` object instance. .. |axis| replace:: Axis to perform the transform over, in the case of multi-dimensional input. 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PyWavelets-0.5.1/doc/source/_templates/page.html0000755€>SK[€>P0000000307513017375740023601 0ustar lee8rxdomain^users00000000000000{# Drop version number from the HTML documentation title #} {%- set docstitle = "PyWavelets Documentation" %} {% extends "!page.html" %} {% block extrahead %} {{ super() }} {% endblock %} {# Remove version number from the top and bottom path bars #} {%- block rootrellink %}
  • Home{{ reldelim1 }}
    • {%- endblock %} PyWavelets-0.5.1/doc/source/_templates/quicklinks.html0000755€>SK[€>P0000000100313017375740025027 0ustar lee8rxdomain^users00000000000000 PyWavelets-0.5.1/MANIFEST.in0000755€>SK[€>P0000000072413017375740017331 0ustar lee8rxdomain^users00000000000000include setup.py include README.rst include *.txt include MANIFEST.in # All source files recursive-include pywt * # All documentation recursive-include doc * recursive-include demo * # Cached Cython signatures include cythonize.dat # Add build and testing tools include tox.ini recursive-include util * # Exclude what we don't want to include prune build prune doc/build prune */__pycache__ global-exclude *.py[cod] *.egg *.egg-info global-exclude *~ *.bak *.swp PyWavelets-0.5.1/PKG-INFO0000755€>SK[€>P0000000357513017376011016667 0ustar lee8rxdomain^users00000000000000Metadata-Version: 1.1 Name: PyWavelets Version: 0.5.1 Summary: PyWavelets, wavelet transform module Home-page: https://github.com/PyWavelets/pywt Author: The PyWavelets Developers Author-email: http://groups.google.com/group/pywavelets License: MIT Download-URL: https://github.com/PyWavelets/pywt/releases Description: PyWavelets is a Python wavelet transforms module that includes: * nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform) * 1D and 2D Wavelet Packet decomposition and reconstruction * 1D Continuous Wavelet Tranfsorm * Computing Approximations of wavelet and scaling functions * Over 100 built-in wavelet filters and support for custom wavelets * Single and double precision calculations * Results compatibility with Matlab Wavelet Toolbox (tm) Keywords: wavelets,wavelet transform,DWT,SWT,CWT,scientific Platform: Windows Platform: Linux Platform: Solaris Platform: Mac OS-X Platform: Unix Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Education Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: C Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 2.6 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3.3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Topic :: Software Development :: Libraries :: Python Modules PyWavelets-0.5.1/PyWavelets.egg-info/0000755€>SK[€>P0000000000013017376010021351 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/PyWavelets.egg-info/dependency_links.txt0000755€>SK[€>P0000000000113017376010025422 0ustar lee8rxdomain^users00000000000000 PyWavelets-0.5.1/PyWavelets.egg-info/PKG-INFO0000755€>SK[€>P0000000357513017376010022463 0ustar lee8rxdomain^users00000000000000Metadata-Version: 1.1 Name: PyWavelets Version: 0.5.1 Summary: PyWavelets, wavelet transform module Home-page: https://github.com/PyWavelets/pywt Author: The PyWavelets Developers Author-email: http://groups.google.com/group/pywavelets License: MIT Download-URL: https://github.com/PyWavelets/pywt/releases Description: PyWavelets is a Python wavelet transforms module that includes: * nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform) * 1D and 2D Wavelet Packet decomposition and reconstruction * 1D Continuous Wavelet Tranfsorm * Computing Approximations of wavelet and scaling functions * Over 100 built-in wavelet filters and support for custom wavelets * Single and double precision calculations * Results compatibility with Matlab Wavelet Toolbox (tm) Keywords: wavelets,wavelet transform,DWT,SWT,CWT,scientific Platform: Windows Platform: Linux Platform: Solaris Platform: Mac OS-X Platform: Unix Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Education Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: C Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 2.6 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3.3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Topic :: Software Development :: Libraries :: Python Modules PyWavelets-0.5.1/PyWavelets.egg-info/requires.txt0000755€>SK[€>P0000000000613017376010023750 0ustar lee8rxdomain^users00000000000000numpy PyWavelets-0.5.1/PyWavelets.egg-info/SOURCES.txt0000755€>SK[€>P0000001113713017376010023243 0ustar lee8rxdomain^users00000000000000CHANGES.txt MANIFEST.in README.rst THANKS.txt setup.cfg setup.py tox.ini PyWavelets.egg-info/PKG-INFO PyWavelets.egg-info/SOURCES.txt PyWavelets.egg-info/dependency_links.txt PyWavelets.egg-info/requires.txt PyWavelets.egg-info/top_level.txt demo/_dwt_decompose.c demo/batch_processing.py demo/benchmark.py demo/cwt_analysis.py demo/dwt2_dwtn_image.py demo/dwt_signal_decomposition.py demo/dwt_swt_show_coeffs.py demo/image_blender.py demo/plot_wavelets.py demo/swt2.py demo/waveinfo.py demo/wp_2d.py demo/wp_scalogram.py demo/wp_visualize_coeffs_distribution.py doc/Makefile doc/doc2html.bat doc/make.bat doc/release/0.3.0-notes.rst doc/release/0.4.0-notes.rst doc/release/0.5.0-notes.rst doc/release/0.5.1-notes.rst doc/source/conf.py doc/source/contents.rst doc/source/index.rst doc/source/overview.rst doc/source/release.0.3.0.rst doc/source/release.0.4.0.rst doc/source/release.0.5.0.rst doc/source/release.0.5.1.rst doc/source/releasenotes.rst doc/source/resources.rst doc/source/substitutions.rst doc/source/_static/comments.png doc/source/_static/favicon.ico doc/source/_static/github.png doc/source/_static/page_edit.png doc/source/_static/twitter.png doc/source/_static/wave.png doc/source/_templates/editdocument.html doc/source/_templates/page.html doc/source/_templates/quicklinks.html doc/source/dev/building_extension.rst doc/source/dev/how_to_release.rst doc/source/dev/index.rst doc/source/dev/installing_build_dependencies.rst doc/source/dev/preparing_linux_build_environment.rst doc/source/dev/preparing_windows_build_environment.rst doc/source/dev/testing.rst doc/source/ref/2d-dwt-and-idwt.rst doc/source/ref/cwt.rst doc/source/ref/dwt-coefficient-handling.rst doc/source/ref/dwt-discrete-wavelet-transform.rst doc/source/ref/idwt-inverse-discrete-wavelet-transform.rst doc/source/ref/index.rst doc/source/ref/iswt-inverse-stationary-wavelet-transform.rst doc/source/ref/nd-dwt-and-idwt.rst doc/source/ref/other-functions.rst doc/source/ref/signal-extension-modes.rst doc/source/ref/swt-stationary-wavelet-transform.rst doc/source/ref/thresholding-functions.rst doc/source/ref/wavelet-packets.rst doc/source/ref/wavelets.rst doc/source/regression/dwt-idwt.rst doc/source/regression/gotchas.rst doc/source/regression/index.rst doc/source/regression/modes.rst doc/source/regression/multilevel.rst doc/source/regression/wavelet.rst doc/source/regression/wp.rst doc/source/regression/wp2d.rst pywt/__init__.py pywt/_cwt.py pywt/_dwt.py pywt/_functions.py pywt/_multidim.py pywt/_multilevel.py pywt/_swt.py pywt/_thresholding.py pywt/_wavelet_packets.py pywt/version.py pywt/_extensions/__init__.py pywt/_extensions/_cwt.c pywt/_extensions/_cwt.pxd pywt/_extensions/_cwt.pyx pywt/_extensions/_dwt.c pywt/_extensions/_dwt.pxd pywt/_extensions/_dwt.pyx pywt/_extensions/_pywt.c pywt/_extensions/_pywt.h pywt/_extensions/_pywt.pxd pywt/_extensions/_pywt.pyx pywt/_extensions/_swt.c pywt/_extensions/_swt.pyx pywt/_extensions/c_wt.pxd pywt/_extensions/common.pxd pywt/_extensions/wavelet.pxd pywt/_extensions/wavelets_list.pxi pywt/_extensions/c/common.c pywt/_extensions/c/common.h pywt/_extensions/c/convolution.c pywt/_extensions/c/convolution.h pywt/_extensions/c/convolution.template.c pywt/_extensions/c/convolution.template.h pywt/_extensions/c/cwt.c pywt/_extensions/c/cwt.h pywt/_extensions/c/cwt.template.c pywt/_extensions/c/cwt.template.h pywt/_extensions/c/templating.h pywt/_extensions/c/wavelets.c pywt/_extensions/c/wavelets.h pywt/_extensions/c/wavelets_coeffs.h pywt/_extensions/c/wavelets_coeffs.template.h pywt/_extensions/c/wt.c pywt/_extensions/c/wt.h pywt/_extensions/c/wt.template.c pywt/_extensions/c/wt.template.h pywt/data/__init__.py pywt/data/_readers.py pywt/data/aero.npz pywt/data/ascent.npz pywt/data/camera.npz pywt/data/create_dat.py pywt/data/ecg.npy pywt/data/sst_nino3.npz pywt/tests/test__pywt.py pywt/tests/test_cwt_wavelets.py pywt/tests/test_data.py pywt/tests/test_deprecations.py pywt/tests/test_doc.py pywt/tests/test_dwt_idwt.py pywt/tests/test_functions.py pywt/tests/test_matlab_compatibility.py pywt/tests/test_matlab_compatibility_cwt.py pywt/tests/test_modes.py pywt/tests/test_multidim.py pywt/tests/test_multilevel.py pywt/tests/test_perfect_reconstruction.py pywt/tests/test_swt.py pywt/tests/test_thresholding.py pywt/tests/test_wavelet.py pywt/tests/test_wp.py pywt/tests/test_wp2d.py pywt/tests/data/cwt_matlabR2015b_result.npz pywt/tests/data/dwt_matlabR2012a_result.npz pywt/tests/data/generate_matlab_data.py pywt/tests/data/generate_matlab_data_cwt.py util/__init__.py util/authors.py util/gh_lists.py util/refguide_check.py util/setenv_build32.bat util/setenv_build64.bat util/appveyor/build.cmd util/readthedocs/requirements.txtPyWavelets-0.5.1/PyWavelets.egg-info/top_level.txt0000755€>SK[€>P0000000000513017376010024101 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PIL. """ from __future__ import print_function import sys import numpy as np def main(): from scipy.misc import imread if len(sys.argv) != 3: print(__doc__) exit() image_fname = sys.argv[1] dat_fname = sys.argv[2] data = imread(image_fname) np.savez_compressed(dat_fname, data=data) if __name__ == "__main__": main() PyWavelets-0.5.1/pywt/data/ecg.npy0000755€>SK[€>P0000001012013017375740020764 0ustar lee8rxdomain^users00000000000000“NUMPYF{'descr': 'SK[€>P0000017531013017375740022163 0ustar lee8rxdomain^users00000000000000PKφŠBI|ŸΔPϊPϊ sst_csv.npy“NUMPYF{'descr': 'SK[€>P0000001065013017375740021644 0ustar lee8rxdomain^users00000000000000import os import numpy as np def ascent(): """ Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos The image is derived from accent-to-the-top.jpg at http://www.public-domain-image.com/people-public-domain-images-pictures/ Parameters ---------- None Returns ------- ascent : ndarray convenient image to use for testing and demonstration Examples -------- >>> import pywt.data >>> ascent = pywt.data.ascent() >>> ascent.shape == (512, 512) True >>> ascent.max() 255 >>> import matplotlib.pyplot as plt >>> plt.gray() >>> plt.imshow(ascent) # doctest: +ELLIPSIS >>> plt.show() # doctest: +SKIP """ fname = os.path.join(os.path.dirname(__file__), 'ascent.npz') ascent = np.load(fname)['data'] return ascent def aero(): """ Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos Parameters ---------- None Returns ------- aero : ndarray convenient image to use for testing and demonstration Examples -------- >>> import pywt.data >>> aero = pywt.data.ascent() >>> aero.shape == (512, 512) True >>> aero.max() 255 >>> import matplotlib.pyplot as plt >>> plt.gray() >>> plt.imshow(aero) # doctest: +ELLIPSIS >>> plt.show() # doctest: +SKIP """ fname = os.path.join(os.path.dirname(__file__), 'aero.npz') aero = np.load(fname)['data'] return aero def camera(): """ Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos Parameters ---------- None Returns ------- camera : ndarray convenient image to use for testing and demonstration Examples -------- >>> import pywt.data >>> camera = pywt.data.ascent() >>> camera.shape == (512, 512) True >>> import matplotlib.pyplot as plt >>> plt.gray() >>> plt.imshow(camera) # doctest: +ELLIPSIS >>> plt.show() # doctest: +SKIP """ fname = os.path.join(os.path.dirname(__file__), 'camera.npz') camera = np.load(fname)['data'] return camera def ecg(): """ Get 1024 points of an ECG timeseries. Parameters ---------- None Returns ------- ecg : ndarray convenient timeseries to use for testing and demonstration Examples -------- >>> import pywt.data >>> ecg = pywt.data.ecg() >>> ecg.shape == (1024,) True >>> import matplotlib.pyplot as plt >>> plt.plot(ecg) # doctest: +ELLIPSIS [] >>> plt.show() # doctest: +SKIP """ fname = os.path.join(os.path.dirname(__file__), 'ecg.npy') ecg = np.load(fname) return ecg def nino(): """ This data contains the averaged monthly sea surface temperature in degrees Celcius of the Pacific Ocean, between 0-10 degrees South and 90-80 degrees West, from 1950 to 2016. This dataset is in the public domain and was obtained from NOAA. National Oceanic and Atmospheric Administration's National Weather Service ERSSTv4 dataset, nino 3, http://www.cpc.ncep.noaa.gov/data/indices/ Parameters ---------- None Returns ------- time : ndarray convenient timeseries to use for testing and demonstration sst : ndarray convenient timeseries to use for testing and demonstration Examples -------- >>> import pywt.data >>> time, sst = pywt.data.nino() >>> sst.shape == (264,) True >>> import matplotlib.pyplot as plt >>> plt.plot(time,sst) # doctest: +ELLIPSIS [] >>> plt.show() # doctest: +SKIP """ fname = os.path.join(os.path.dirname(__file__), 'sst_nino3.npz') sst_csv = np.load(fname)['sst_csv'] # sst_csv = pd.read_csv("http://www.cpc.ncep.noaa.gov/data/indices/ersst4.nino.mth.81-10.ascii", sep=' ', skipinitialspace=True) # take only full years n = np.floor(sst_csv.shape[0]/12.)*12. # Building the mean of three mounth # the 4. column is nino 3 sst = np.mean(np.reshape(np.array(sst_csv)[:n,4],(n/3,-1)),axis=1) sst = (sst - np.mean(sst)) / np.std(sst, ddof=1) dt = 0.25 time = np.arange(len(sst)) * dt + 1950.0 # construct time array return time, sst PyWavelets-0.5.1/pywt/data/__init__.py0000755€>SK[€>P0000000006613017375740021617 0ustar lee8rxdomain^users00000000000000from ._readers import ascent, aero, ecg, camera, nino PyWavelets-0.5.1/pywt/tests/0000755€>SK[€>P0000000000013017376011017722 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/pywt/tests/data/0000755€>SK[€>P0000000000013017376011020633 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/pywt/tests/data/cwt_matlabR2015b_result.npz0000755€>SK[€>P0000674156213017375740025733 0ustar lee8rxdomain^users00000000000000PKάJαHAv°ΰ>ΰ>2_mexh_1001_coefs.npy“NUMPYF{'descr': '‹ΗƒΞΕ?Lξͺ-ΰ?DoΠρΞ?Šsγκ/δ?"bΥWi§έ?„‚¨i¨’Σ?˜œΑ<’‡±?eΌ3HέΏͺσ7ϋ-ςγΏΧΜκΠ4ςΏΘ]ŠΔIνΏέ¦ΰnρΏ‰δα6σΌΏ^•2€ΝΛΏt+P˜ˆν?H7΄εzν?—wΥ–’ŽΗ?%ώ‡tΔϊ?O^‘FΉ?.:†πn5ϊ?ΌtΨuυ?ΥvΙπlδ?@ Ζ =™?žDΞ|πΏ+‘€π[ΐ• ’ζΓΐΗGgšΨzςΏŸLI™$Ώ8a5π&κ?άy:τςΉΫΏ=νΤές+ή?RΌD‘&ζρ?εΒή¨,Χ? ΐτ\5Αό?ΤβΙFaξ?™\σιζφ?ΔVΑ„ ΙΏ&H0Χ?4ΙBΦΏΌˆΟΜλΏδ½δ±°ιΡΏ',S]ΖωΏ“xEεHλΏρxΣ“0ψΏXnπT6γΏμ4R­βm࿁7' ƒδ?ίIΎLGι?Z—V„Lπ?š*ιFdχ?ΙU†ΰΰ?§ΘW‹ͺέπ?˜4φcΏΩΏϊ‡“έ²Kͺ?Œϊ›‚ΨεΏΰ)09'δΏξZλζϊ΅΄Ώ.ΖYK¦ήΏΎ§―ΛξΝΏHEl H Π?P'ΌηΌγ?ž­l|ωκ? ςJ~‰ο?_zrε?4Œ5+V©ΝΏ15pœG;±ΏQψ4Ηu±τΏcLw ΘRαΏ\ς’ΘωΊΏςεq΅1€ΦΏ€aζd~…ς?~<`Ό «Ώ˜Ω&3ύk²?ΉΙ}°ΝΏΎhσnξΏκΑp†δΏτΖΏΩσ‰ΡΏƒ(έiεΏrχΠ ΗΜ?vύ­zύ―ΗΏh#σ‡Ο[¨Ώ™YΫ‹…?x†Ώωε?n‚—T@ΪΡ?€†§M`?‘φΐ²ΑΝΏ]`»γΏ±σ.Ρ9™ζΏΞΜΊδcΰΏjΏaΪr⿐χ|ˆΞŠΚΏϊΚh‚CΔ?ZΈJά·Έρ?Ÿ΅˜ ₯μ?$Lυ©'/Τ?{q§β’ς?-gίξTΩΏ―­’m~ρ?(ο!ɏ6Ύ?Ќg!ο?ΰ©―ύΪε?±ΠΈ―ιλδ?L₯2ŽΟ²β?=Ε¦ΜE`ΏhΊ$‹ΎœςΏΰυ;± ιΏTΛρΩϊεΏΛ…ξάνΏ|IQΗΨ?€’—š|ΜδΏ 2zυ˜έ?ΆΦΗsζΏΛXEoΡ?7^$$θυΏ(⡏•₯ψΏWaΤεΤϋΏywKο4bυΏ#›r) TνΏ82…Θόΰν?Y+ΘJK#μ?Ζq8Χ™dχ?Ενζ<ϋ£@θ^.§­γ?„Αj͌τ@θu…eoΆ³?iω ƒaω?€=%Ι’•?sϋ™SΕΧ?²9Σ:FhΫΏ8ͺΠD‘εΏ΄δχ°μΔ? €k©ΰυΏ‚Jυ77*γΏoΕNσgωΏύρplUρΏ:―Ζ± œπΏΐ΅ φz@Ν?§!ΒBΖ?(ŒΔ«O λ?ί$uv4τ?`•ΌΠζ?πζζ6΄Šφ? ό βξΠά?5ΐήO`Ψ?€ύ°R6ΡΏ=}‚IΰΛπΏπάDζλμόΏTΰΚκώώόΏŒΑί ΣUΚΏ  Ÿ j›ψΏΙ1Ή»γqξ?εGŸœΓιΏ`-EYξθΥΏκ«\v%ΙΏS€•: VδΏΕX:άώwΧ?τ­oτ£,έ?αB΄οπ?~ξo:{υκ?©/‡ ω?N·‚ΕθΘ? 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€Κ›zpd_rbio2.8_18_md_pywtCoeffs.npyPK›Š)IL‚Φ°ΠΠ€ΰœper_sym15_31_md.npyPK›Š)IaSxŒ€€€αsp0_db19_39_md.npyPK›Š)IΏ[Ÿ((€‘Ÿper_db27_54_ma.npyPK›Š)I’ερpp€ι ppd_db2_5_ma.npyPK›Š)I"ύXX€‡‘sp1_db1_2_ma_pywtCoeffs.npyPK›Š)I{Q“€€€’ppd_db3_7_md.npyPK›Š)Iζƒhh€Ζ’sp1_db34_68_ma.npyPK›Š)I:­ΕWππ€^₯zpd_rbio3.9_21_ma.npyPK›Š)I³ι6€¦sp1_db12_24_ma.npyPK›Š)I/ΠS€ΐΐ€Ή§sym_db7_15_md.npyPK›Š)I쁘ͺxx€¨¨sp1_sym3_6_ma_pywtCoeffs.npyPK›Š)Ixν7ΐΐ€Z©sp0_sym7_15_md_pywtCoeffs.npyPK›Š)I]υPP€Uͺppd_db16_33_md_pywtCoeffs.npyPK›Š)IΨ+ΰ   €ΰ«sym_bior2.4_11_ma.npyPK›Š)II•jΣΰΰ€³¬ppd_db25_51_ma.npyPK›Š)IΑ,!  €Γsym_coif15_91_md.npyPK›Š)IQ™­ΨΨ€²per_db17_34_md.npyPK›Š)I­Π†€¨¨€³per_db11_22_ma_pywtCoeffs.npyPKΐΐ@F΄PyWavelets-0.5.1/pywt/tests/data/generate_matlab_data.py0000755€>SK[€>P0000000745613017375741025340 0ustar lee8rxdomain^users00000000000000""" This script was used to generate dwt_matlabR2012a_result.npz by storing the outputs from Matlab R2012a. """ from __future__ import division, print_function, absolute_import import numpy as np import pywt try: from pymatbridge import Matlab mlab = Matlab() _matlab_missing = False except ImportError: print("To run Matlab compatibility tests you need to have MathWorks " "MATLAB, MathWorks Wavelet Toolbox and the pymatbridge Python " "package installed.") _matlab_missing = True if _matlab_missing: raise EnvironmentError("Can't generate matlab data files without MATLAB") size_set = 'reduced' # list of mode names in pywt and matlab modes = [('zero', 'zpd'), ('constant', 'sp0'), ('symmetric', 'sym'), ('reflect', 'symw'), ('periodic', 'ppd'), ('smooth', 'sp1'), ('periodization', 'per')] families = ('db', 'sym', 'coif', 'bior', 'rbio') wavelets = sum([pywt.wavelist(name) for name in families], []) rstate = np.random.RandomState(1234) mlab.start() try: all_matlab_results = {} for wavelet in wavelets: w = pywt.Wavelet(wavelet) mlab.set_variable('wavelet', wavelet) if size_set == 'full': data_sizes = list(range(w.dec_len, 40)) + \ [100, 200, 500, 1000, 50000] else: data_sizes = (w.dec_len, w.dec_len + 1) for N in data_sizes: data = rstate.randn(N) mlab.set_variable('data', data) for pmode, mmode in modes: # Matlab result if np.any((wavelet == np.array(['coif6', 'coif7', 'coif8', 'coif9', 'coif10', 'coif11', 'coif12', 'coif13', 'coif14', 'coif15', 'coif16', 'coif17'])),axis=0): mlab.set_variable('Lo_D', w.dec_lo) mlab.set_variable('Hi_D', w.dec_hi) mlab_code = ("[ma, md] = dwt(data, Lo_D, Hi_D, " "'mode', '%s');" % mmode) else: mlab_code = ("[ma, md] = dwt(data, wavelet, " "'mode', '%s');" % mmode) res = mlab.run_code(mlab_code) if not res['success']: raise RuntimeError( "Matlab failed to execute the provided code. " "Check that the wavelet toolbox is installed.") # need np.asarray because sometimes the output is type float ma = np.asarray(mlab.get_variable('ma')) md = np.asarray(mlab.get_variable('md')) ma_key = '_'.join([mmode, wavelet, str(N), 'ma']) md_key = '_'.join([mmode, wavelet, str(N), 'md']) all_matlab_results[ma_key] = ma all_matlab_results[md_key] = md # Matlab result mlab.set_variable('Lo_D', w.dec_lo) mlab.set_variable('Hi_D', w.dec_hi) mlab_code = ("[ma, md] = dwt(data, Lo_D, Hi_D, " "'mode', '%s');" % mmode) res = mlab.run_code(mlab_code) if not res['success']: raise RuntimeError( "Matlab failed to execute the provided code. " "Check that the wavelet toolbox is installed.") # need np.asarray because sometimes the output is type float ma = np.asarray(mlab.get_variable('ma')) md = np.asarray(mlab.get_variable('md')) ma_key = '_'.join([mmode, wavelet, str(N), 'ma_pywtCoeffs']) md_key = '_'.join([mmode, wavelet, str(N), 'md_pywtCoeffs']) all_matlab_results[ma_key] = ma all_matlab_results[md_key] = md finally: mlab.stop() np.savez('dwt_matlabR2012a_result.npz', **all_matlab_results) PyWavelets-0.5.1/pywt/tests/data/generate_matlab_data_cwt.py0000755€>SK[€>P0000000624613017375741026211 0ustar lee8rxdomain^users00000000000000""" This script was used to generate dwt_matlabR2012a_result.npz by storing the outputs from Matlab R2012a. """ from __future__ import division, print_function, absolute_import import numpy as np import pywt try: from pymatbridge import Matlab mlab = Matlab() _matlab_missing = False except ImportError: print("To run Matlab compatibility tests you need to have MathWorks " "MATLAB, MathWorks Wavelet Toolbox and the pymatbridge Python " "package installed.") _matlab_missing = True if _matlab_missing: raise EnvironmentError("Can't generate matlab data files without MATLAB") size_set = 'reduced' # list of mode names in pywt and matlab modes = [('zero', 'zpd'), ('constant', 'sp0'), ('symmetric', 'sym'), ('periodic', 'ppd'), ('smooth', 'sp1'), ('periodization', 'per')] families = ('gaus', 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor') wavelets = sum([pywt.wavelist(name) for name in families], []) rstate = np.random.RandomState(1234) mlab.start() try: all_matlab_results = {} for wavelet in wavelets: w = pywt.Wavelet(wavelet) if np.any((wavelet == np.array(['shan', 'cmor'])),axis=0): mlab.set_variable('wavelet', wavelet+str(w.bandwidth_frequency)+'-'+str(w.center_frequency)) elif wavelet == 'fbsp': mlab.set_variable('wavelet', wavelet+str(w.fbsp_order)+'-'+str(w.bandwidth_frequency)+'-'+str(w.center_frequency)) else: mlab.set_variable('wavelet', wavelet) if size_set == 'full': data_sizes = list(range(100, 101)) + \ [100, 200, 500, 1000, 50000] Scales = (1,np.arange(1,3),np.arange(1,4),np.arange(1,5)) else: data_sizes = (1000, 1000 + 1) Scales = (1,np.arange(1,3)) mlab_code = ("psi = wavefun(wavelet,10)") res = mlab.run_code(mlab_code) if not res['success']: raise RuntimeError( "Matlab failed to execute the provided code. " "Check that the wavelet toolbox is installed.") psi = np.asarray(mlab.get_variable('psi')) psi_key = '_'.join([wavelet, 'psi']) all_matlab_results[psi_key] = psi for N in data_sizes: data = rstate.randn(N) mlab.set_variable('data', data) # Matlab result scale_count = 0 for scales in Scales: scale_count += 1 mlab.set_variable('scales', scales) mlab_code = ("coefs = cwt(data, scales, wavelet)") res = mlab.run_code(mlab_code) if not res['success']: raise RuntimeError( "Matlab failed to execute the provided code. " "Check that the wavelet toolbox is installed.") # need np.asarray because sometimes the output is type float coefs = np.asarray(mlab.get_variable('coefs')) coefs_key = '_'.join([str(scale_count), wavelet, str(N), 'coefs']) all_matlab_results[coefs_key] = coefs finally: mlab.stop() np.savez('cwt_matlabR2015b_result.npz', **all_matlab_results) PyWavelets-0.5.1/pywt/tests/test_cwt_wavelets.py0000755€>SK[€>P0000001766713017375741024077 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import from numpy.testing import run_module_suite, assert_allclose import numpy as np import pywt def ref_gaus(LB, UB, N, num): X = np.linspace(LB, UB, N) F0 = (2./np.pi)**(1./4.)*np.exp(-(X**2)) if (num == 1): psi = -2.*X*F0 elif (num == 2): psi = -2/(3**(1/2))*(-1 + 2*X**2)*F0 elif (num == 3): psi = -4/(15**(1/2))*X*(3 - 2*X**2)*F0 elif (num == 4): psi = 4/(105**(1/2))*(3 - 12*X**2 + 4*X**4)*F0 elif (num == 5): psi = 8/(3*(105**(1/2)))*X*(-15 + 20*X**2 - 4*X**4)*F0 elif (num == 6): psi = -8/(3*(1155**(1/2)))*(-15 + 90*X**2 - 60*X**4 + 8*X**6)*F0 elif (num == 7): psi = -16/(3*(15015**(1/2)))*X*(105 - 210*X**2 + 84*X**4 - 8*X**6)*F0 elif (num == 8): psi = 16/(45*(1001**(1/2)))*(105 - 840*X**2 + 840*X**4 - 224*X**6 + 16*X**8)*F0 return (psi, X) def ref_cgau(LB, UB, N, num): X = np.linspace(LB, UB, N) F0 = np.exp(-X**2) F1 = np.exp(-1j*X) F2 = (F1*F0)/(np.exp(-1/2)*2**(1/2)*np.pi**(1/2))**(1/2) if (num == 1): psi = F2*(-1j - 2*X)*2**(1/2) elif (num == 2): psi = 1/3*F2*(-3 + 4j*X + 4*X**2)*6**(1/2) elif (num == 3): psi = 1/15*F2*(7j + 18*X - 12j*X**2 - 8*X**3)*30**(1/2) elif (num == 4): psi = 1/105*F2*(25 - 56j*X - 72*X**2 + 32j*X**3 + 16*X**4)*210**(1/2) elif (num == 5): psi = 1/315*F2*(-81j - 250*X + 280j*X**2 + 240*X**3 - 80j*X**4 - 32*X**5)*210**(1/2) elif (num == 6): psi = 1/3465*F2*(-331 + 972j*X + 1500*X**2 - 1120j*X**3 - 720*X**4 + 192j*X**5 + 64*X**6)*2310**(1/2) elif (num == 7): psi = 1/45045*F2*( 1303j + 4634*X - 6804j*X**2 - 7000*X**3 + 3920j*X**4 + 2016*X**5 - 448j*X**6 - 128*X**7)*30030**(1/2) elif (num == 8): psi = 1/45045*F2*( 5937 - 20848j*X - 37072*X**2 + 36288j*X**3 + 28000*X**4 - 12544j*X**5 - 5376*X**6 + 1024j*X**7 + 256*X**8)*2002**(1/2) psi = psi/np.real(np.sqrt(np.real(np.sum(psi*np.conj(psi)))*(X[1] - X[0]))) return (psi, X) def sinc2(x): y = np.ones_like(x) k = np.where(x)[0] y[k] = np.sin(np.pi*x[k])/(np.pi*x[k]) return y def ref_shan(LB, UB, N, Fb, Fc): x = np.linspace(LB, UB, N) psi = np.sqrt(Fb)*(sinc2(Fb*x)*np.exp(2j*np.pi*Fc*x)) return (psi, x) def ref_fbsp(LB, UB, N, m, Fb, Fc): x = np.linspace(LB, UB, N) psi = np.sqrt(Fb)*((sinc2(Fb*x/m)**m)*np.exp(2j*np.pi*Fc*x)) return (psi, x) def ref_cmor(LB, UB, N, Fb, Fc): x = np.linspace(LB, UB, N) psi = ((np.pi*Fb)**(-0.5))*np.exp(2j*np.pi*Fc*x)*np.exp(-(x**2)/Fb) return (psi, x) def ref_morl(LB, UB, N): x = np.linspace(LB, UB, N) psi = np.exp(-(x**2)/2)*np.cos(5*x) return (psi, x) def ref_mexh(LB, UB, N): x = np.linspace(LB, UB, N) psi = (2/(np.sqrt(3)*np.pi**0.25))*np.exp(-(x**2)/2)*(1 - (x**2)) return (psi, x) def test_gaus(): LB = -5 UB = 5 N = 1000 for num in np.arange(1, 9): [psi, x] = ref_gaus(LB, UB, N, num) w = pywt.ContinuousWavelet("gaus" + str(num)) PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi)) assert_allclose(np.imag(PSI), np.imag(psi)) assert_allclose(X, x) def test_cgau(): LB = -5 UB = 5 N = 1000 for num in np.arange(1, 9): [psi, x] = ref_cgau(LB, UB, N, num) w = pywt.ContinuousWavelet("cgau" + str(num)) PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi)) assert_allclose(np.imag(PSI), np.imag(psi)) assert_allclose(X, x) def test_shan(): LB = -20 UB = 20 N = 1000 Fb = 1 Fc = 1.5 [psi, x] = ref_shan(LB, UB, N, Fb, Fc) w = pywt.ContinuousWavelet("shan") w.center_frequency = Fc w.bandwidth_frequency = Fb w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi), atol=1e-15) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-15) assert_allclose(X, x, atol=1e-15) LB = -20 UB = 20 N = 1000 Fb = 1.5 Fc = 1 [psi, x] = ref_shan(LB, UB, N, Fb, Fc) w = pywt.ContinuousWavelet("shan") w.center_frequency = Fc w.bandwidth_frequency = Fb w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi), atol=1e-15) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-15) assert_allclose(X, x, atol=1e-15) def test_cmor(): LB = -20 UB = 20 N = 1000 Fb = 1 Fc = 1.5 [psi, x] = ref_cmor(LB, UB, N, Fb, Fc) w = pywt.ContinuousWavelet("cmor") w.center_frequency = Fc w.bandwidth_frequency = Fb w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi), atol=1e-15) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-15) assert_allclose(X, x, atol=1e-15) LB = -20 UB = 20 N = 1000 Fb = 1.5 Fc = 1 [psi, x] = ref_cmor(LB, UB, N, Fb, Fc) w = pywt.ContinuousWavelet("cmor") w.center_frequency = Fc w.bandwidth_frequency = Fb w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi), atol=1e-15) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-15) assert_allclose(X, x, atol=1e-15) def test_fbsp(): LB = -20 UB = 20 N = 1000 M = 2 Fb = 1 Fc = 1.5 [psi, x] = ref_fbsp(LB, UB, N, M, Fb, Fc) w = pywt.ContinuousWavelet("fbsp") w.center_frequency = Fc w.bandwidth_frequency = Fb w.fbsp_order = M w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi), atol=1e-15) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-15) assert_allclose(X, x, atol=1e-15) LB = -20 UB = 20 N = 1000 M = 2 Fb = 1.5 Fc = 1 [psi, x] = ref_fbsp(LB, UB, N, M, Fb, Fc) w = pywt.ContinuousWavelet("fbsp") w.center_frequency = Fc w.bandwidth_frequency = Fb w.fbsp_order = M w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi), atol=1e-15) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-15) assert_allclose(X, x, atol=1e-15) LB = -20 UB = 20 N = 1000 M = 3 Fb = 1.5 Fc = 1.2 [psi, x] = ref_fbsp(LB, UB, N, M, Fb, Fc) w = pywt.ContinuousWavelet("fbsp") w.center_frequency = Fc w.bandwidth_frequency = Fb w.fbsp_order = M w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) # TODO: investigate why atol = 1e-5 is necessary assert_allclose(np.real(PSI), np.real(psi), atol=1e-5) assert_allclose(np.imag(PSI), np.imag(psi), atol=1e-5) assert_allclose(X, x, atol=1e-15) def test_morl(): LB = -5 UB = 5 N = 1000 [psi, x] = ref_morl(LB, UB, N) w = pywt.ContinuousWavelet("morl") w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi)) assert_allclose(np.imag(PSI), np.imag(psi)) assert_allclose(X, x) def test_mexh(): LB = -5 UB = 5 N = 1000 [psi, x] = ref_mexh(LB, UB, N) w = pywt.ContinuousWavelet("mexh") w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi)) assert_allclose(np.imag(PSI), np.imag(psi)) assert_allclose(X, x) LB = -5 UB = 5 N = 1001 [psi, x] = ref_mexh(LB, UB, N) w = pywt.ContinuousWavelet("mexh") w.upper_bound = UB w.lower_bound = LB PSI, X = w.wavefun(length=N) assert_allclose(np.real(PSI), np.real(psi)) assert_allclose(np.imag(PSI), np.imag(psi)) assert_allclose(X, x) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_data.py0000755€>SK[€>P0000000146613017375741022267 0ustar lee8rxdomain^users00000000000000import numpy as np from numpy.testing import assert_allclose import pywt.data def test_data_aero(): aero = pywt.data.aero() ref = np.array([[178, 178, 179], [170, 173, 171], [185, 174, 171]]) assert_allclose(aero[:3, :3], ref) def test_data_ascent(): ascent = pywt.data.ascent() ref = np.array([[83, 83, 83], [82, 82, 83], [80, 81, 83]]) assert_allclose(ascent[:3, :3], ref) def test_data_camera(): ascent = pywt.data.camera() ref = np.array([[156, 157, 160], [156, 157, 159], [158, 157, 156]]) assert_allclose(ascent[:3, :3], ref) def test_data_ecg(): ecg = pywt.data.ecg() ref = np.array([-86, -87, -87]) assert_allclose(ecg[:3], ref) PyWavelets-0.5.1/pywt/tests/test_deprecations.py0000755€>SK[€>P0000000461113017375741024031 0ustar lee8rxdomain^users00000000000000import warnings import numpy as np from numpy.testing import assert_warns, run_module_suite, assert_array_equal import pywt def test_intwave_deprecation(): wavelet = pywt.Wavelet('db3') assert_warns(DeprecationWarning, pywt.intwave, wavelet) def test_centrfrq_deprecation(): wavelet = pywt.Wavelet('db3') assert_warns(DeprecationWarning, pywt.centrfrq, wavelet) def test_scal2frq_deprecation(): wavelet = pywt.Wavelet('db3') assert_warns(DeprecationWarning, pywt.scal2frq, wavelet, 1) def test_orthfilt_deprecation(): assert_warns(DeprecationWarning, pywt.orthfilt, range(6)) def test_integrate_wave_tuple(): sig = [0, 1, 2, 3] xgrid = [0, 1, 2, 3] assert_warns(DeprecationWarning, pywt.integrate_wavelet, (sig, xgrid)) old_modes = ['zpd', 'cpd', 'sym', 'ppd', 'sp1', 'per', ] def test_MODES_from_object_deprecation(): for mode in old_modes: assert_warns(DeprecationWarning, pywt.Modes.from_object, mode) def test_MODES_attributes_deprecation(): def get_mode(Modes, name): return getattr(Modes, name) for mode in old_modes: assert_warns(DeprecationWarning, get_mode, pywt.Modes, mode) def test_MODES_attributes_usage_deprecation(): for mode in old_modes: assert_warns(DeprecationWarning, pywt.dwt, range(10), 'db3', mode) def test_MODES_deprecation_new(): def use_MODES_new(): return pywt.MODES.symmetric assert_warns(DeprecationWarning, use_MODES_new) def test_MODES_deprecation_old(): def use_MODES_old(): return pywt.MODES.sym assert_warns(DeprecationWarning, use_MODES_old) def test_MODES_deprecation_getattr(): def use_MODES_new(): return getattr(pywt.MODES, 'symmetric') assert_warns(DeprecationWarning, use_MODES_new) def test_mode_equivalence(): old_new = [('zpd', 'zero'), ('cpd', 'constant'), ('sym', 'symmetric'), ('ppd', 'periodic'), ('sp1', 'smooth'), ('per', 'periodization')] x = np.arange(8.) with warnings.catch_warnings(): warnings.simplefilter('ignore', DeprecationWarning) for old, new in old_new: assert_array_equal(pywt.dwt(x, 'db2', mode=old), pywt.dwt(x, 'db2', mode=new)) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_doc.py0000755€>SK[€>P0000000102013017375741022105 0ustar lee8rxdomain^users00000000000000from __future__ import division, print_function, absolute_import import doctest import glob import os import unittest pdir = os.path.pardir docs_base = os.path.abspath(os.path.join(os.path.dirname(__file__), pdir, pdir, "doc", "source")) files = glob.glob(os.path.join(docs_base, "*.rst")) + \ glob.glob(os.path.join(docs_base, "*", "*.rst")) suite = doctest.DocFileSuite(*files, module_relative=False, encoding="utf-8") if __name__ == "__main__": unittest.TextTestRunner().run(suite) PyWavelets-0.5.1/pywt/tests/test_dwt_idwt.py0000755€>SK[€>P0000001365613017375741023207 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_raises) import pywt # Check that float32 and complex64 are preserved. Other real types get # converted to float64. dtypes_in = [np.int8, np.float32, np.float64, np.complex64, np.complex128] dtypes_out = [np.float64, np.float32, np.float64, np.complex64, np.complex128] def test_dwt_idwt_basic(): x = [3, 7, 1, 1, -2, 5, 4, 6] cA, cD = pywt.dwt(x, 'db2') cA_expect = [5.65685425, 7.39923721, 0.22414387, 3.33677403, 7.77817459] cD_expect = [-2.44948974, -1.60368225, -4.44140056, -0.41361256, 1.22474487] assert_allclose(cA, cA_expect) assert_allclose(cD, cD_expect) x_roundtrip = pywt.idwt(cA, cD, 'db2') assert_allclose(x_roundtrip, x, rtol=1e-10) # mismatched dtypes OK x_roundtrip2 = pywt.idwt(cA.astype(np.float64), cD.astype(np.float32), 'db2') assert_allclose(x_roundtrip2, x, rtol=1e-7, atol=1e-7) assert_(x_roundtrip.dtype == np.float64) def test_dwt_idwt_dtypes(): wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): x = np.ones(4, dtype=dt_in) errmsg = "wrong dtype returned for {0} input".format(dt_in) cA, cD = pywt.dwt(x, wavelet) assert_(cA.dtype == cD.dtype == dt_out, "dwt: " + errmsg) x_roundtrip = pywt.idwt(cA, cD, wavelet) assert_(x_roundtrip.dtype == dt_out, "idwt: " + errmsg) def test_dwt_idwt_basic_complex(): x = np.asarray([3, 7, 1, 1, -2, 5, 4, 6]) x = x + 0.5j*x cA, cD = pywt.dwt(x, 'db2') cA_expect = np.asarray([5.65685425, 7.39923721, 0.22414387, 3.33677403, 7.77817459]) cA_expect = cA_expect + 0.5j*cA_expect cD_expect = np.asarray([-2.44948974, -1.60368225, -4.44140056, -0.41361256, 1.22474487]) cD_expect = cD_expect + 0.5j*cD_expect assert_allclose(cA, cA_expect) assert_allclose(cD, cD_expect) x_roundtrip = pywt.idwt(cA, cD, 'db2') assert_allclose(x_roundtrip, x, rtol=1e-10) def test_dwt_idwt_partial_complex(): x = np.asarray([3, 7, 1, 1, -2, 5, 4, 6]) x = x + 0.5j*x cA, cD = pywt.dwt(x, 'haar') cA_rec_expect = np.array([5.0+2.5j, 5.0+2.5j, 1.0+0.5j, 1.0+0.5j, 1.5+0.75j, 1.5+0.75j, 5.0+2.5j, 5.0+2.5j]) cA_rec = pywt.idwt(cA, None, 'haar') assert_allclose(cA_rec, cA_rec_expect) cD_rec_expect = np.array([-2.0-1.0j, 2.0+1.0j, 0.0+0.0j, 0.0+0.0j, -3.5-1.75j, 3.5+1.75j, -1.0-0.5j, 1.0+0.5j]) cD_rec = pywt.idwt(None, cD, 'haar') assert_allclose(cD_rec, cD_rec_expect) assert_allclose(cA_rec + cD_rec, x) def test_dwt_wavelet_kwd(): x = np.array([3, 7, 1, 1, -2, 5, 4, 6]) w = pywt.Wavelet('sym3') cA, cD = pywt.dwt(x, wavelet=w, mode='constant') cA_expect = [4.38354585, 3.80302657, 7.31813271, -0.58565539, 4.09727044, 7.81994027] cD_expect = [-1.33068221, -2.78795192, -3.16825651, -0.67715519, -0.09722957, -0.07045258] assert_allclose(cA, cA_expect) assert_allclose(cD, cD_expect) def test_dwt_coeff_len(): x = np.array([3, 7, 1, 1, -2, 5, 4, 6]) w = pywt.Wavelet('sym3') ln_modes = [pywt.dwt_coeff_len(len(x), w.dec_len, mode) for mode in pywt.Modes.modes] expected_result = [6, ] * len(pywt.Modes.modes) expected_result[pywt.Modes.modes.index('periodization')] = 4 assert_allclose(ln_modes, expected_result) ln_modes = [pywt.dwt_coeff_len(len(x), w, mode) for mode in pywt.Modes.modes] assert_allclose(ln_modes, expected_result) def test_idwt_none_input(): # None input equals arrays of zeros of the right length res1 = pywt.idwt([1, 2, 0, 1], None, 'db2', 'symmetric') res2 = pywt.idwt([1, 2, 0, 1], [0, 0, 0, 0], 'db2', 'symmetric') assert_allclose(res1, res2, rtol=1e-15, atol=1e-15) res1 = pywt.idwt(None, [1, 2, 0, 1], 'db2', 'symmetric') res2 = pywt.idwt([0, 0, 0, 0], [1, 2, 0, 1], 'db2', 'symmetric') assert_allclose(res1, res2, rtol=1e-15, atol=1e-15) # Only one argument at a time can be None assert_raises(ValueError, pywt.idwt, None, None, 'db2', 'symmetric') def test_idwt_invalid_input(): # Too short, min length is 4 for 'db4': assert_raises(ValueError, pywt.idwt, [1, 2, 4], [4, 1, 3], 'db4', 'symmetric') def test_dwt_single_axis(): x = [[3, 7, 1, 1], [-2, 5, 4, 6]] cA, cD = pywt.dwt(x, 'db2', axis=-1) cA0, cD0 = pywt.dwt(x[0], 'db2') cA1, cD1 = pywt.dwt(x[1], 'db2') assert_allclose(cA[0], cA0) assert_allclose(cA[1], cA1) assert_allclose(cD[0], cD0) assert_allclose(cD[1], cD1) def test_idwt_single_axis(): x = [[3, 7, 1, 1], [-2, 5, 4, 6]] x = np.asarray(x) x = x + 1j*x # test with complex data cA, cD = pywt.dwt(x, 'db2', axis=-1) x0 = pywt.idwt(cA[0], cD[0], 'db2', axis=-1) x1 = pywt.idwt(cA[1], cD[1], 'db2', axis=-1) assert_allclose(x[0], x0) assert_allclose(x[1], x1) def test_dwt_axis_arg(): x = [[3, 7, 1, 1], [-2, 5, 4, 6]] cA_, cD_ = pywt.dwt(x, 'db2', axis=-1) cA, cD = pywt.dwt(x, 'db2', axis=1) assert_allclose(cA_, cA) assert_allclose(cD_, cD) def test_idwt_axis_arg(): x = [[3, 7, 1, 1], [-2, 5, 4, 6]] cA, cD = pywt.dwt(x, 'db2', axis=1) x_ = pywt.idwt(cA, cD, 'db2', axis=-1) x = pywt.idwt(cA, cD, 'db2', axis=1) assert_allclose(x_, x) def test_dwt_idwt_axis_excess(): x = [[3, 7, 1, 1], [-2, 5, 4, 6]] # can't transform over axes that aren't there assert_raises(ValueError, pywt.dwt, x, 'db2', 'symmetric', axis=2) assert_raises(ValueError, pywt.idwt, [1, 2, 4], [4, 1, 3], 'db2', 'symmetric', axis=1) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_functions.py0000755€>SK[€>P0000000235613017375741023365 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import from numpy.testing import (run_module_suite, assert_almost_equal, assert_allclose) import pywt def test_centrfreq(): # db1 is Haar function, frequency=1 w = pywt.Wavelet('db1') expected = 1 result = pywt.central_frequency(w, precision=12) assert_almost_equal(result, expected, decimal=3) # db2, frequency=2/3 w = pywt.Wavelet('db2') expected = 2/3. result = pywt.central_frequency(w, precision=12) assert_almost_equal(result, expected) def test_scal2frq_scale(): scale = 2 w = pywt.Wavelet('db1') expected = 1. / scale result = pywt.scale2frequency(w, scale, precision=12) assert_almost_equal(result, expected, decimal=3) def test_intwave_orthogonal(): w = pywt.Wavelet('db1') int_psi, x = pywt.integrate_wavelet(w, precision=12) ix = x < 0.5 # For x < 0.5, the integral is equal to x assert_allclose(int_psi[ix], x[ix]) # For x > 0.5, the integral is equal to (1 - x) # Ignore last point here, there x > 1 and something goes wrong assert_allclose(int_psi[~ix][:-1], 1 - x[~ix][:-1], atol=1e-10) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_matlab_compatibility.py0000755€>SK[€>P0000001434513017375741025547 0ustar lee8rxdomain^users00000000000000""" Test used to verify PyWavelets Discrete Wavelet Transform computation accuracy against MathWorks Wavelet Toolbox. """ from __future__ import division, print_function, absolute_import import os import numpy as np from numpy.testing import assert_, dec, run_module_suite import pywt if 'PYWT_XSLOW' in os.environ: # Run a more comprehensive set of problem sizes. This could take more than # an hour to complete. size_set = 'full' use_precomputed = False else: size_set = 'reduced' use_precomputed = True if use_precomputed: data_dir = os.path.join(os.path.dirname(__file__), 'data') matlab_data_file = os.path.join(data_dir, 'dwt_matlabR2012a_result.npz') matlab_result_dict = np.load(matlab_data_file) else: try: from pymatbridge import Matlab mlab = Matlab() _matlab_missing = False except ImportError: print("To run Matlab compatibility tests you need to have MathWorks " "MATLAB, MathWorks Wavelet Toolbox and the pymatbridge Python " "package installed.") _matlab_missing = True # list of mode names in pywt and matlab modes = [('zero', 'zpd'), ('constant', 'sp0'), ('symmetric', 'sym'), ('reflect', 'symw'), ('periodic', 'ppd'), ('smooth', 'sp1'), ('periodization', 'per')] families = ('db', 'sym', 'coif', 'bior', 'rbio') wavelets = sum([pywt.wavelist(name) for name in families], []) def _get_data_sizes(w): """ Return the sizes to test for wavelet w. """ if size_set == 'full': data_sizes = list(range(w.dec_len, 40)) + \ [100, 200, 500, 1000, 50000] else: data_sizes = (w.dec_len, w.dec_len + 1) return data_sizes @dec.skipif(use_precomputed or _matlab_missing) @dec.slow def test_accuracy_pymatbridge(): rstate = np.random.RandomState(1234) # max RMSE (was 1.0e-10, is reduced to 5.0e-5 due to different coefficents) epsilon = 5.0e-5 epsilon_pywt_coeffs = 1.0e-10 mlab.start() try: for wavelet in wavelets: w = pywt.Wavelet(wavelet) mlab.set_variable('wavelet', wavelet) for N in _get_data_sizes(w): data = rstate.randn(N) mlab.set_variable('data', data) for pmode, mmode in modes: ma, md = _compute_matlab_result(data, wavelet, mmode) yield _check_accuracy, data, w, pmode, ma, md, wavelet, epsilon ma, md = _load_matlab_result_pywt_coeffs(data, wavelet, mmode) yield _check_accuracy, data, w, pmode, ma, md, wavelet, epsilon_pywt_coeffs finally: mlab.stop() @dec.skipif(not use_precomputed) @dec.slow def test_accuracy_precomputed(): # Keep this specific random seed to match the precomputed Matlab result. rstate = np.random.RandomState(1234) # max RMSE (was 1.0e-10, is reduced to 5.0e-5 due to different coefficents) epsilon = 5.0e-5 epsilon_pywt_coeffs = 1.0e-10 for wavelet in wavelets: w = pywt.Wavelet(wavelet) for N in _get_data_sizes(w): data = rstate.randn(N) for pmode, mmode in modes: ma, md = _load_matlab_result(data, wavelet, mmode) yield _check_accuracy, data, w, pmode, ma, md, wavelet, epsilon ma, md = _load_matlab_result_pywt_coeffs(data, wavelet, mmode) yield _check_accuracy, data, w, pmode, ma, md, wavelet, epsilon_pywt_coeffs def _compute_matlab_result(data, wavelet, mmode): """ Compute the result using MATLAB. This function assumes that the Matlab variables `wavelet` and `data` have already been set externally. """ if np.any((wavelet == np.array(['coif6', 'coif7', 'coif8', 'coif9', 'coif10', 'coif11', 'coif12', 'coif13', 'coif14', 'coif15', 'coif16', 'coif17'])),axis=0): w = pywt.Wavelet(wavelet) mlab.set_variable('Lo_D', w.dec_lo) mlab.set_variable('Hi_D', w.dec_hi) mlab_code = ("[ma, md] = dwt(data, Lo_D, Hi_D, 'mode', '%s');" % mmode) else: mlab_code = "[ma, md] = dwt(data, wavelet, 'mode', '%s');" % mmode res = mlab.run_code(mlab_code) if not res['success']: raise RuntimeError("Matlab failed to execute the provided code. " "Check that the wavelet toolbox is installed.") # need np.asarray because sometimes the output is a single float64 ma = np.asarray(mlab.get_variable('ma')) md = np.asarray(mlab.get_variable('md')) return ma, md def _load_matlab_result(data, wavelet, mmode): """ Load the precomputed result. """ N = len(data) ma_key = '_'.join([mmode, wavelet, str(N), 'ma']) md_key = '_'.join([mmode, wavelet, str(N), 'md']) if (ma_key not in matlab_result_dict) or \ (md_key not in matlab_result_dict): raise KeyError( "Precompted Matlab result not found for wavelet: " "{0}, mode: {1}, size: {2}".format(wavelet, mmode, N)) ma = matlab_result_dict[ma_key] md = matlab_result_dict[md_key] return ma, md def _load_matlab_result_pywt_coeffs(data, wavelet, mmode): """ Load the precomputed result. """ N = len(data) ma_key = '_'.join([mmode, wavelet, str(N), 'ma_pywtCoeffs']) md_key = '_'.join([mmode, wavelet, str(N), 'md_pywtCoeffs']) if (ma_key not in matlab_result_dict) or \ (md_key not in matlab_result_dict): raise KeyError( "Precompted Matlab result not found for wavelet: " "{0}, mode: {1}, size: {2}".format(wavelet, mmode, N)) ma = matlab_result_dict[ma_key] md = matlab_result_dict[md_key] return ma, md def _check_accuracy(data, w, pmode, ma, md, wavelet, epsilon): # PyWavelets result pa, pd = pywt.dwt(data, w, pmode) # calculate error measures rms_a = np.sqrt(np.mean((pa - ma) ** 2)) rms_d = np.sqrt(np.mean((pd - md) ** 2)) msg = ('[RMS_A > EPSILON] for Mode: %s, Wavelet: %s, ' 'Length: %d, rms=%.3g' % (pmode, wavelet, len(data), rms_a)) assert_(rms_a < epsilon, msg=msg) msg = ('[RMS_D > EPSILON] for Mode: %s, Wavelet: %s, ' 'Length: %d, rms=%.3g' % (pmode, wavelet, len(data), rms_d)) assert_(rms_d < epsilon, msg=msg) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_matlab_compatibility_cwt.py0000755€>SK[€>P0000001432313017375741026420 0ustar lee8rxdomain^users00000000000000""" Test used to verify PyWavelets Continous Wavelet Transform computation accuracy against MathWorks Wavelet Toolbox. """ from __future__ import division, print_function, absolute_import import os import numpy as np from numpy.testing import assert_, dec, run_module_suite import pywt if 'PYWT_XSLOW' in os.environ: # Run a more comprehensive set of problem sizes. This could take more than # an hour to complete. size_set = 'full' use_precomputed = False else: size_set = 'reduced' use_precomputed = True if use_precomputed: data_dir = os.path.join(os.path.dirname(__file__), 'data') matlab_data_file = os.path.join(data_dir, 'cwt_matlabR2015b_result.npz') matlab_result_dict = np.load(matlab_data_file) else: try: from pymatbridge import Matlab mlab = Matlab() _matlab_missing = False except ImportError: print("To run Matlab compatibility tests you need to have MathWorks " "MATLAB, MathWorks Wavelet Toolbox and the pymatbridge Python " "package installed.") _matlab_missing = True families = ('gaus', 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor') wavelets = sum([pywt.wavelist(name) for name in families], []) def _get_data_sizes(w): """ Return the sizes to test for wavelet w. """ if size_set == 'full': data_sizes = list(range(100, 101)) + \ [100, 200, 500, 1000, 50000] else: data_sizes = (1000, 1000 + 1) return data_sizes def _get_scales(w): """ Return the scales to test for wavelet w. """ if size_set == 'full': Scales = (1,np.arange(1,3),np.arange(1,4),np.arange(1,5)) else: Scales = (1,np.arange(1,3)) return Scales @dec.skipif(use_precomputed or _matlab_missing) @dec.slow def test_accuracy_pymatbridge_cwt(): rstate = np.random.RandomState(1234) # max RMSE (was 1.0e-10, is reduced to 5.0e-5 due to different coefficents) epsilon = 1e-15 epsilon_psi = 1e-15 mlab.start() try: for wavelet in wavelets: w = pywt.ContinuousWavelet(wavelet) if np.any((wavelet == np.array(['shan', 'cmor'])),axis=0): mlab.set_variable('wavelet', wavelet+str(w.bandwidth_frequency)+'-'+str(w.center_frequency)) elif wavelet == 'fbsp': mlab.set_variable('wavelet', wavelet+str(w.fbsp_order)+'-'+str(w.bandwidth_frequency)+'-'+str(w.center_frequency)) else: mlab.set_variable('wavelet', wavelet) mlab_code = ("psi = wavefun(wavelet,10)") res = mlab.run_code(mlab_code) psi = np.asarray(mlab.get_variable('psi')) yield _check_accuracy_psi, w, psi, wavelet, epsilon_psi for N in _get_data_sizes(w): data = rstate.randn(N) mlab.set_variable('data', data) for scales in _get_scales(w): coefs = _compute_matlab_result(data, wavelet, scales) yield _check_accuracy, data, w, scales, coefs, wavelet, epsilon finally: mlab.stop() @dec.skipif(not use_precomputed) @dec.slow def test_accuracy_precomputed_cwt(): # Keep this specific random seed to match the precomputed Matlab result. rstate = np.random.RandomState(1234) # has to be improved epsilon = 1e-15 epsilon32 = 1e-5 epsilon_psi = 1e-15 for wavelet in wavelets: w = pywt.ContinuousWavelet(wavelet) w32 = pywt.ContinuousWavelet(wavelet,dtype=np.float32) psi = _load_matlab_result_psi(wavelet) yield _check_accuracy_psi, w, psi, wavelet, epsilon_psi for N in _get_data_sizes(w): data = rstate.randn(N) data32 = data.astype(np.float32) scales_count = 0 for scales in _get_scales(w): scales_count += 1 coefs = _load_matlab_result(data, wavelet, scales_count) yield _check_accuracy, data, w, scales, coefs, wavelet, epsilon yield _check_accuracy, data32, w32, scales, coefs, wavelet, epsilon32 def _compute_matlab_result(data, wavelet, scales): """ Compute the result using MATLAB. This function assumes that the Matlab variables `wavelet` and `data` have already been set externally. """ mlab.set_variable('scales', scales) mlab_code = ("coefs = cwt(data, scales, wavelet)") res = mlab.run_code(mlab_code) if not res['success']: raise RuntimeError("Matlab failed to execute the provided code. " "Check that the wavelet toolbox is installed.") # need np.asarray because sometimes the output is a single float64 coefs = np.asarray(mlab.get_variable('coefs')) return coefs def _load_matlab_result(data, wavelet, scales): """ Load the precomputed result. """ N = len(data) coefs_key = '_'.join([str(scales), wavelet, str(N), 'coefs']) if (coefs_key not in matlab_result_dict): raise KeyError( "Precompted Matlab result not found for wavelet: " "{0}, mode: {1}, size: {2}".format(wavelet, scales, N)) coefs = matlab_result_dict[coefs_key] return coefs def _load_matlab_result_psi(wavelet): """ Load the precomputed result. """ psi_key = '_'.join([wavelet, 'psi']) if (psi_key not in matlab_result_dict): raise KeyError( "Precompted Matlab psi result not found for wavelet: " "{0}}".format(wavelet)) psi = matlab_result_dict[psi_key] return psi def _check_accuracy(data, w, scales, coefs, wavelet, epsilon): # PyWavelets result coefs_pywt,freq = pywt.cwt(data, scales, w) # calculate error measures rms = np.real(np.sqrt(np.mean((coefs_pywt - coefs) ** 2))) msg = ('[RMS > EPSILON] for Scale: %s, Wavelet: %s, ' 'Length: %d, rms=%.3g' % (scales, wavelet, len(data), rms)) assert_(rms < epsilon, msg=msg) def _check_accuracy_psi(w, psi, wavelet, epsilon): # PyWavelets result psi_pywt,x = w.wavefun(length=1024) # calculate error measures rms = np.real(np.sqrt(np.mean((psi_pywt.flatten() - psi.flatten()) ** 2))) msg = ('[RMS > EPSILON] for Wavelet: %s, ' 'rms=%.3g' % (wavelet, rms)) assert_(rms < epsilon, msg=msg) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_modes.py0000755€>SK[€>P0000001034113017375741022455 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import (assert_raises, run_module_suite, assert_equal, assert_allclose) import pywt def test_available_modes(): modes = ['zero', 'constant', 'symmetric', 'periodic', 'smooth', 'periodization', 'reflect'] assert_equal(pywt.Modes.modes, modes) assert_equal(pywt.Modes.from_object('constant'), 2) def test_invalid_modes(): x = np.arange(4) assert_raises(ValueError, pywt.dwt, x, 'db2', 'unknown') assert_raises(ValueError, pywt.dwt, x, 'db2', -1) assert_raises(ValueError, pywt.dwt, x, 'db2', 7) assert_raises(TypeError, pywt.dwt, x, 'db2', None) assert_raises(ValueError, pywt.Modes.from_object, 'unknown') assert_raises(ValueError, pywt.Modes.from_object, -1) assert_raises(ValueError, pywt.Modes.from_object, 7) assert_raises(TypeError, pywt.Modes.from_object, None) def test_dwt_idwt_allmodes(): # Test that :func:`dwt` and :func:`idwt` can be performed using every mode x = [1, 2, 1, 5, -1, 8, 4, 6] dwt_result_modes = { 'zero': ([-0.03467518, 1.73309178, 3.40612438, 6.32928585, 6.95094948], [-0.12940952, -2.15599552, -5.95034847, -1.21545369, -1.8625013]), 'constant': ([1.28480404, 1.73309178, 3.40612438, 6.32928585, 7.51935555], [-0.48296291, -2.15599552, -5.95034847, -1.21545369, 0.25881905]), 'symmetric': ([1.76776695, 1.73309178, 3.40612438, 6.32928585, 7.77817459], [-0.61237244, -2.15599552, -5.95034847, -1.21545369, 1.22474487]), 'reflect': ([2.12132034, 1.73309178, 3.40612438, 6.32928585, 6.81224877], [-0.70710678, -2.15599552, -5.95034847, -1.21545369, -2.38013939]), 'periodic': ([6.9162743, 1.73309178, 3.40612438, 6.32928585, 6.9162743], [-1.99191082, -2.15599552, -5.95034847, -1.21545369, -1.99191082]), 'smooth': ([-0.51763809, 1.73309178, 3.40612438, 6.32928585, 7.45000519], [0, -2.15599552, -5.95034847, -1.21545369, 0]), 'periodization': ([4.053172, 3.05257099, 2.85381112, 8.42522221], [0.18946869, 4.18258152, 4.33737503, 2.60428326]) } for mode in pywt.Modes.modes: cA, cD = pywt.dwt(x, 'db2', mode) assert_allclose(cA, dwt_result_modes[mode][0], rtol=1e-7, atol=1e-8) assert_allclose(cD, dwt_result_modes[mode][1], rtol=1e-7, atol=1e-8) assert_allclose(pywt.idwt(cA, cD, 'db2', mode), x, rtol=1e-10) def test_dwt_short_input_allmodes(): # some test cases where the input is shorter than the DWT filter x = [1, 2, 3] wavelet = 'db2' # manually pad each end by the filter size (4 for 'db2' used here) padded_x = {'zero': [0, 0, 0, 0, 1, 2, 3, 0, 0, 0, 0], 'constant': [1, 1, 1, 1, 1, 2, 3, 3, 3, 3, 3], 'symmetric': [3, 3, 2, 1, 1, 2, 3, 3, 2, 1, 1], 'reflect': [1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3], 'periodic': [3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1], 'smooth': [-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7], } for mode, xpad in padded_x.items(): # DWT of the manually padded array. will discard edges later so # symmetric mode used here doesn't matter. cApad, cDpad = pywt.dwt(xpad, wavelet, mode='symmetric') # central region of the padded output (unaffected by mode ) expected_result = (cApad[2:-2], cDpad[2:-2]) cA, cD = pywt.dwt(x, wavelet, mode) assert_allclose(cA, expected_result[0], rtol=1e-7, atol=1e-8) assert_allclose(cD, expected_result[1], rtol=1e-7, atol=1e-8) def test_default_mode(): # The default mode should be 'symmetric' x = [1, 2, 1, 5, -1, 8, 4, 6] cA, cD = pywt.dwt(x, 'db2') cA2, cD2 = pywt.dwt(x, 'db2', mode='symmetric') assert_allclose(cA, cA2) assert_allclose(cD, cD2) assert_allclose(pywt.idwt(cA, cD, 'db2'), x) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_multidim.py0000755€>SK[€>P0000002574113017375741023204 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from itertools import combinations from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_raises, assert_equal) import pywt # Check that float32 and complex64 are preserved. Other real types get # converted to float64. dtypes_in = [np.int8, np.float32, np.float64, np.complex64, np.complex128] dtypes_out = [np.float64, np.float32, np.float64, np.complex64, np.complex128] def test_dwtn_input(): # Array-like must be accepted pywt.dwtn([1, 2, 3, 4], 'haar') # Others must not data = dict() assert_raises(TypeError, pywt.dwtn, data, 'haar') # Must be at least 1D assert_raises(ValueError, pywt.dwtn, 2, 'haar') def test_3D_reconstruct(): data = np.array([ [[0, 4, 1, 5, 1, 4], [0, 5, 26, 3, 2, 1], [5, 8, 2, 33, 4, 9], [2, 5, 19, 4, 19, 1]], [[1, 5, 1, 2, 3, 4], [7, 12, 6, 52, 7, 8], [2, 12, 3, 52, 6, 8], [5, 2, 6, 78, 12, 2]]]) wavelet = pywt.Wavelet('haar') for mode in pywt.Modes.modes: d = pywt.dwtn(data, wavelet, mode=mode) assert_allclose(data, pywt.idwtn(d, wavelet, mode=mode), rtol=1e-13, atol=1e-13) def test_dwdtn_idwtn_allwavelets(): rstate = np.random.RandomState(1234) r = rstate.randn(16, 16) # test 2D case only for all wavelet types wavelist = pywt.wavelist() if 'dmey' in wavelist: wavelist.remove('dmey') for wavelet in wavelist: if isinstance(pywt.DiscreteContinuousWavelet(wavelet), pywt.Wavelet): for mode in pywt.Modes.modes: coeffs = pywt.dwtn(r, wavelet, mode=mode) assert_allclose(pywt.idwtn(coeffs, wavelet, mode=mode), r, rtol=1e-7, atol=1e-7) def test_stride(): wavelet = pywt.Wavelet('haar') for dtype in ('float32', 'float64'): data = np.array([[0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]], dtype=dtype) for mode in pywt.Modes.modes: expected = pywt.dwtn(data, wavelet) strided = np.ones((3, 12), dtype=data.dtype) strided[::-1, ::2] = data strided_dwtn = pywt.dwtn(strided[::-1, ::2], wavelet) for key in expected.keys(): assert_allclose(strided_dwtn[key], expected[key]) def test_byte_offset(): wavelet = pywt.Wavelet('haar') for dtype in ('float32', 'float64'): data = np.array([[0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]], dtype=dtype) for mode in pywt.Modes.modes: expected = pywt.dwtn(data, wavelet) padded = np.ones((3, 6), dtype=np.dtype([('data', data.dtype), ('pad', 'byte')])) padded[:] = data padded_dwtn = pywt.dwtn(padded['data'], wavelet) for key in expected.keys(): assert_allclose(padded_dwtn[key], expected[key]) def test_3D_reconstruct_complex(): # All dimensions even length so `take` does not need to be specified data = np.array([ [[0, 4, 1, 5, 1, 4], [0, 5, 26, 3, 2, 1], [5, 8, 2, 33, 4, 9], [2, 5, 19, 4, 19, 1]], [[1, 5, 1, 2, 3, 4], [7, 12, 6, 52, 7, 8], [2, 12, 3, 52, 6, 8], [5, 2, 6, 78, 12, 2]]]) data = data + 1j wavelet = pywt.Wavelet('haar') d = pywt.dwtn(data, wavelet) # idwtn creates even-length shapes (2x dwtn size) original_shape = [slice(None, s) for s in data.shape] assert_allclose(data, pywt.idwtn(d, wavelet)[original_shape], rtol=1e-13, atol=1e-13) def test_idwtn_idwt2(): data = np.array([ [0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]]) wavelet = pywt.Wavelet('haar') LL, (HL, LH, HH) = pywt.dwt2(data, wavelet) d = {'aa': LL, 'da': HL, 'ad': LH, 'dd': HH} for mode in pywt.Modes.modes: assert_allclose(pywt.idwt2((LL, (HL, LH, HH)), wavelet, mode=mode), pywt.idwtn(d, wavelet, mode=mode), rtol=1e-14, atol=1e-14) def test_idwtn_idwt2_complex(): data = np.array([ [0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]]) data = data + 1j wavelet = pywt.Wavelet('haar') LL, (HL, LH, HH) = pywt.dwt2(data, wavelet) d = {'aa': LL, 'da': HL, 'ad': LH, 'dd': HH} for mode in pywt.Modes.modes: assert_allclose(pywt.idwt2((LL, (HL, LH, HH)), wavelet, mode=mode), pywt.idwtn(d, wavelet, mode=mode), rtol=1e-14, atol=1e-14) def test_idwtn_missing(): # Test to confirm missing data behave as zeroes data = np.array([ [0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]]) wavelet = pywt.Wavelet('haar') coefs = pywt.dwtn(data, wavelet) # No point removing zero, or all for num_missing in range(1, len(coefs)): for missing in combinations(coefs.keys(), num_missing): missing_coefs = coefs.copy() for key in missing: del missing_coefs[key] LL = missing_coefs.get('aa', None) HL = missing_coefs.get('da', None) LH = missing_coefs.get('ad', None) HH = missing_coefs.get('dd', None) assert_allclose(pywt.idwt2((LL, (HL, LH, HH)), wavelet), pywt.idwtn(missing_coefs, 'haar'), atol=1e-15) def test_idwtn_all_coeffs_None(): coefs = dict(aa=None, da=None, ad=None, dd=None) assert_raises(ValueError, pywt.idwtn, coefs, 'haar') def test_error_on_invalid_keys(): data = np.array([ [0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]]) wavelet = pywt.Wavelet('haar') LL, (HL, LH, HH) = pywt.dwt2(data, wavelet) # unexpected key d = {'aa': LL, 'da': HL, 'ad': LH, 'dd': HH, 'ff': LH} assert_raises(ValueError, pywt.idwtn, d, wavelet) # a key whose value is None d = {'aa': LL, 'da': HL, 'ad': LH, 'dd': None} assert_raises(ValueError, pywt.idwtn, d, wavelet) # mismatched key lengths d = {'a': LL, 'da': HL, 'ad': LH, 'dd': HH} assert_raises(ValueError, pywt.idwtn, d, wavelet) def test_error_mismatched_size(): data = np.array([ [0, 4, 1, 5, 1, 4], [0, 5, 6, 3, 2, 1], [2, 5, 19, 4, 19, 1]]) wavelet = pywt.Wavelet('haar') LL, (HL, LH, HH) = pywt.dwt2(data, wavelet) # Pass/fail depends on first element being shorter than remaining ones so # set 3/4 to an incorrect size to maximize chances. Order of dict items # is random so may not trigger on every test run. Dict is constructed # inside idwtn function so no use using an OrderedDict here. LL = LL[:, :-1] LH = LH[:, :-1] HH = HH[:, :-1] d = {'aa': LL, 'da': HL, 'ad': LH, 'dd': HH} assert_raises(ValueError, pywt.idwtn, d, wavelet) def test_dwt2_idwt2_dtypes(): wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): x = np.ones((4, 4), dtype=dt_in) errmsg = "wrong dtype returned for {0} input".format(dt_in) cA, (cH, cV, cD) = pywt.dwt2(x, wavelet) assert_(cA.dtype == cH.dtype == cV.dtype == cD.dtype, "dwt2: " + errmsg) x_roundtrip = pywt.idwt2((cA, (cH, cV, cD)), wavelet) assert_(x_roundtrip.dtype == dt_out, "idwt2: " + errmsg) def test_dwtn_axes(): data = np.array([[0, 1, 2, 3], [1, 1, 1, 1], [1, 4, 2, 8]]) data = data + 1j*data # test with complex data coefs = pywt.dwtn(data, 'haar', axes=(1,)) expected_a = list(map(lambda x: pywt.dwt(x, 'haar')[0], data)) assert_equal(coefs['a'], expected_a) expected_d = list(map(lambda x: pywt.dwt(x, 'haar')[1], data)) assert_equal(coefs['d'], expected_d) coefs = pywt.dwtn(data, 'haar', axes=(1, 1)) expected_aa = list(map(lambda x: pywt.dwt(x, 'haar')[0], expected_a)) assert_equal(coefs['aa'], expected_aa) expected_ad = list(map(lambda x: pywt.dwt(x, 'haar')[1], expected_a)) assert_equal(coefs['ad'], expected_ad) def test_idwtn_axes(): data = np.array([[0, 1, 2, 3], [1, 1, 1, 1], [1, 4, 2, 8]]) data = data + 1j*data # test with complex data coefs = pywt.dwtn(data, 'haar', axes=(1, 1)) assert_allclose(pywt.idwtn(coefs, 'haar', axes=(1, 1)), data, atol=1e-14) def test_idwt2_axes(): data = np.array([[0, 1, 2, 3], [1, 1, 1, 1], [1, 4, 2, 8]]) coefs = pywt.dwt2(data, 'haar', axes=(1, 1)) assert_allclose(pywt.idwt2(coefs, 'haar', axes=(1, 1)), data, atol=1e-14) # too many axes assert_raises(ValueError, pywt.idwt2, coefs, 'haar', axes=(0, 1, 1)) def test_idwt2_axes_subsets(): data = np.array(np.random.standard_normal((4, 4, 4))) # test all combinations of 2 out of 3 axes transformed for axes in combinations((0, 1, 2), 2): coefs = pywt.dwt2(data, 'haar', axes=axes) assert_allclose(pywt.idwt2(coefs, 'haar', axes=axes), data, atol=1e-14) def test_idwtn_axes_subsets(): data = np.array(np.random.standard_normal((4, 4, 4, 4))) # test all combinations of 3 out of 4 axes transformed for axes in combinations((0, 1, 2, 3), 3): coefs = pywt.dwtn(data, 'haar', axes=axes) assert_allclose(pywt.idwtn(coefs, 'haar', axes=axes), data, atol=1e-14) def test_negative_axes(): data = np.array([[0, 1, 2, 3], [1, 1, 1, 1], [1, 4, 2, 8]]) coefs1 = pywt.dwtn(data, 'haar', axes=(1, 1)) coefs2 = pywt.dwtn(data, 'haar', axes=(-1, -1)) assert_equal(coefs1, coefs2) rec1 = pywt.idwtn(coefs1, 'haar', axes=(1, 1)) rec2 = pywt.idwtn(coefs1, 'haar', axes=(-1, -1)) assert_equal(rec1, rec2) def test_dwtn_idwtn_dtypes(): wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): x = np.ones((4, 4), dtype=dt_in) errmsg = "wrong dtype returned for {0} input".format(dt_in) coeffs = pywt.dwtn(x, wavelet) for k, v in coeffs.items(): assert_(v.dtype == dt_out, "dwtn: " + errmsg) x_roundtrip = pywt.idwtn(coeffs, wavelet) assert_(x_roundtrip.dtype == dt_out, "idwtn: " + errmsg) def test_idwt2_size_mismatch_error(): LL = np.zeros((6, 6)) LH = HL = HH = np.zeros((5, 5)) assert_raises(ValueError, pywt.idwt2, (LL, (LH, HL, HH)), wavelet='haar') def test_dwt2_dimension_error(): data = np.ones(16) wavelet = pywt.Wavelet('haar') # wrong number of input dimensions assert_raises(ValueError, pywt.dwt2, data, wavelet) # too many axes data2 = np.ones((8, 8)) assert_raises(ValueError, pywt.dwt2, data2, wavelet, axes=(0, 1, 1)) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_multilevel.py0000755€>SK[€>P0000004751613017375741023546 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import from itertools import combinations import numpy as np from numpy.testing import (run_module_suite, assert_almost_equal, assert_allclose, assert_, assert_equal, assert_raises, dec) import pywt # Check that float32 and complex64 are preserved. Other real types get # converted to float64. dtypes_in = [np.int8, np.float32, np.float64, np.complex64, np.complex128] dtypes_out = [np.float64, np.float32, np.float64, np.complex64, np.complex128] # tolerances used in accuracy comparisons tol_single = 1e-6 tol_double = 1e-13 dtypes_and_tolerances = [(np.float32, tol_single), (np.float64, tol_double), (np.int8, tol_double), (np.complex64, tol_single), (np.complex128, tol_double)] # determine which wavelets to test wavelist = pywt.wavelist() if 'dmey' in wavelist: # accuracy is very low for dmey, so omit it wavelist.remove('dmey') # removing wavelets with dwt_possible == False del_list = [] for wavelet in wavelist: if not isinstance(pywt.DiscreteContinuousWavelet(wavelet), pywt.Wavelet): del_list.append(wavelet) for del_ind in del_list: wavelist.remove(del_ind) #### # 1d multilevel dwt tests #### def test_wavedec(): x = [3, 7, 1, 1, -2, 5, 4, 6] db1 = pywt.Wavelet('db1') cA3, cD3, cD2, cD1 = pywt.wavedec(x, db1) assert_almost_equal(cA3, [8.83883476]) assert_almost_equal(cD3, [-0.35355339]) assert_allclose(cD2, [4., -3.5]) assert_allclose(cD1, [-2.82842712, 0, -4.94974747, -1.41421356]) assert_(pywt.dwt_max_level(len(x), db1) == 3) def test_waverec_invalid_inputs(): # input must be list or tuple assert_raises(ValueError, pywt.waverec, np.ones(8), 'haar') # input list cannot be empty assert_raises(ValueError, pywt.waverec, [], 'haar') def test_waverec_accuracies(): rstate = np.random.RandomState(1234) x0 = rstate.randn(8) for dt, tol in dtypes_and_tolerances: x = x0.astype(dt) if np.iscomplexobj(x): x += 1j*rstate.randn(8).astype(x.real.dtype) coeffs = pywt.wavedec(x, 'db1') assert_allclose(pywt.waverec(coeffs, 'db1'), x, atol=tol, rtol=tol) def test_waverec_none(): x = [3, 7, 1, 1, -2, 5, 4, 6] coeffs = pywt.wavedec(x, 'db1') # set some coefficients to None coeffs[2] = None coeffs[0] = None assert_(pywt.waverec(coeffs, 'db1').size, len(x)) def test_waverec_odd_length(): x = [3, 7, 1, 1, -2, 5] coeffs = pywt.wavedec(x, 'db1') assert_allclose(pywt.waverec(coeffs, 'db1'), x, rtol=1e-12) def test_waverec_complex(): x = np.array([3, 7, 1, 1, -2, 5, 4, 6]) x = x + 1j coeffs = pywt.wavedec(x, 'db1') assert_allclose(pywt.waverec(coeffs, 'db1'), x, rtol=1e-12) def test_multilevel_dtypes_1d(): # only checks that the result is of the expected type wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): # wavedec, waverec x = np.ones(8, dtype=dt_in) errmsg = "wrong dtype returned for {0} input".format(dt_in) coeffs = pywt.wavedec(x, wavelet, level=2) for c in coeffs: assert_(c.dtype == dt_out, "wavedec: " + errmsg) x_roundtrip = pywt.waverec(coeffs, wavelet) assert_(x_roundtrip.dtype == dt_out, "waverec: " + errmsg) def test_waverec_all_wavelets_modes(): # test 2D case using all wavelets and modes rstate = np.random.RandomState(1234) r = rstate.randn(80) for wavelet in wavelist: for mode in pywt.Modes.modes: coeffs = pywt.wavedec(r, wavelet, mode=mode) assert_allclose(pywt.waverec(coeffs, wavelet, mode=mode), r, rtol=tol_single, atol=tol_single) #### # 2d multilevel dwt function tests #### def test_waverec2_accuracies(): rstate = np.random.RandomState(1234) x0 = rstate.randn(4, 4) for dt, tol in dtypes_and_tolerances: x = x0.astype(dt) if np.iscomplexobj(x): x += 1j*rstate.randn(4, 4).astype(x.real.dtype) coeffs = pywt.wavedec2(x, 'db1') assert_(len(coeffs) == 3) assert_allclose(pywt.waverec2(coeffs, 'db1'), x, atol=tol, rtol=tol) def test_multilevel_dtypes_2d(): wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): # wavedec2, waverec2 x = np.ones((8, 8), dtype=dt_in) errmsg = "wrong dtype returned for {0} input".format(dt_in) cA, coeffsD2, coeffsD1 = pywt.wavedec2(x, wavelet, level=2) assert_(cA.dtype == dt_out, "wavedec2: " + errmsg) for c in coeffsD1: assert_(c.dtype == dt_out, "wavedec2: " + errmsg) for c in coeffsD2: assert_(c.dtype == dt_out, "wavedec2: " + errmsg) x_roundtrip = pywt.waverec2([cA, coeffsD2, coeffsD1], wavelet) assert_(x_roundtrip.dtype == dt_out, "waverec2: " + errmsg) @dec.slow def test_waverec2_all_wavelets_modes(): # test 2D case using all wavelets and modes rstate = np.random.RandomState(1234) r = rstate.randn(80, 96) for wavelet in wavelist: for mode in pywt.Modes.modes: coeffs = pywt.wavedec2(r, wavelet, mode=mode) assert_allclose(pywt.waverec2(coeffs, wavelet, mode=mode), r, rtol=tol_single, atol=tol_single) def test_wavedec2_complex(): data = np.ones((4, 4)) + 1j coeffs = pywt.wavedec2(data, 'db1') assert_(len(coeffs) == 3) assert_allclose(pywt.waverec2(coeffs, 'db1'), data, rtol=1e-12) def test_wavedec2_invalid_inputs(): # input array has too few dimensions data = np.ones(4) assert_raises(ValueError, pywt.wavedec2, data, 'haar') def test_waverec2_invalid_inputs(): # input must be list or tuple assert_raises(ValueError, pywt.waverec2, np.ones((8, 8)), 'haar') # input list cannot be empty assert_raises(ValueError, pywt.waverec2, [], 'haar') def test_waverec2_coeff_shape_mismatch(): x = np.ones((8, 8)) coeffs = pywt.wavedec2(x, 'db1') # introduce a shape mismatch in the coefficients coeffs = list(coeffs) coeffs[1] = list(coeffs[1]) coeffs[1][1] = np.zeros((16, 1)) assert_raises(ValueError, pywt.waverec2, coeffs, 'db1') def test_waverec2_odd_length(): x = np.ones((10, 6)) coeffs = pywt.wavedec2(x, 'db1') assert_allclose(pywt.waverec2(coeffs, 'db1'), x, rtol=1e-12) def test_waverec2_none_coeffs(): x = np.arange(24).reshape(6, 4) coeffs = pywt.wavedec2(x, 'db1') coeffs[1] = (None, None, None) assert_(x.shape == pywt.waverec2(coeffs, 'db1').shape) #### # nd multilevel dwt function tests #### def test_waverecn(): rstate = np.random.RandomState(1234) # test 1D through 4D cases for nd in range(1, 5): x = rstate.randn(*(4, )*nd) coeffs = pywt.wavedecn(x, 'db1') assert_(len(coeffs) == 3) assert_allclose(pywt.waverecn(coeffs, 'db1'), x, rtol=tol_double) def test_waverecn_empty_coeff(): coeffs = [np.ones((2, 2, 2)), {}, {}] assert_equal(pywt.waverecn(coeffs, 'db1').shape, (8, 8, 8)) assert_equal(pywt.waverecn(coeffs, 'db1').shape, (8, 8, 8)) coeffs = [np.ones((2, 2, 2)), {}, {'daa': np.ones((4, 4, 4))}] coeffs = [np.ones((2, 2, 2)), {}, {}, {'daa': np.ones((8, 8, 8))}] assert_equal(pywt.waverecn(coeffs, 'db1').shape, (16, 16, 16)) def test_waverecn_invalid_coeffs(): # approximation coeffs as None and no valid detail oeffs coeffs = [None, {}] assert_raises(ValueError, pywt.waverecn, coeffs, 'db1') # use of None for a coefficient value coeffs = [np.ones((2, 2, 2)), {}, {'daa': None}, ] assert_raises(ValueError, pywt.waverecn, coeffs, 'db1') # invalid key names in coefficient list coeffs = [np.ones((4, 4, 4)), {'daa': np.ones((4, 4, 4)), 'foo': np.ones((4, 4, 4))}] assert_raises(ValueError, pywt.waverecn, coeffs, 'db1') # mismatched key name lengths coeffs = [np.ones((4, 4, 4)), {'daa': np.ones((4, 4, 4)), 'da': np.ones((4, 4, 4))}] assert_raises(ValueError, pywt.waverecn, coeffs, 'db1') # key name lengths don't match the array dimensions coeffs = [[[[1.0]]], {'ad': [[[0.0]]], 'da': [[[0.0]]], 'dd': [[[0.0]]]}] assert_raises(ValueError, pywt.waverecn, coeffs, 'db1') # input list cannot be empty assert_raises(ValueError, pywt.waverecn, [], 'haar') def test_waverecn_lists(): # support coefficient arrays specified as lists instead of arrays coeffs = [[[1.0]], {'ad': [[0.0]], 'da': [[0.0]], 'dd': [[0.0]]}] assert_equal(pywt.waverecn(coeffs, 'db1').shape, (2, 2)) def test_waverecn_invalid_coeffs2(): # shape mismatch should raise an error coeffs = [np.ones((4, 4, 4)), {'ada': np.ones((4, 4))}] assert_raises(ValueError, pywt.waverecn, coeffs, 'db1') def test_wavedecn_invalid_inputs(): # input array has too few dimensions data = np.array(0) assert_raises(ValueError, pywt.wavedecn, data, 'haar') # invalid number of levels data = np.ones(16) assert_raises(ValueError, pywt.wavedecn, data, 'haar', level=-1) assert_raises(ValueError, pywt.wavedecn, data, 'haar', level=100) def test_waverecn_accuracies(): # testing 3D only here rstate = np.random.RandomState(1234) x0 = rstate.randn(4, 4, 4) for dt, tol in dtypes_and_tolerances: x = x0.astype(dt) if np.iscomplexobj(x): x += 1j*rstate.randn(4, 4, 4).astype(x.real.dtype) coeffs = pywt.wavedecn(x.astype(dt), 'db1') assert_allclose(pywt.waverecn(coeffs, 'db1'), x, atol=tol, rtol=tol) def test_multilevel_dtypes_nd(): wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): # wavedecn, waverecn x = np.ones((8, 8), dtype=dt_in) errmsg = "wrong dtype returned for {0} input".format(dt_in) cA, coeffsD2, coeffsD1 = pywt.wavedecn(x, wavelet, level=2) assert_(cA.dtype == dt_out, "wavedecn: " + errmsg) for key, c in coeffsD1.items(): assert_(c.dtype == dt_out, "wavedecn: " + errmsg) for key, c in coeffsD2.items(): assert_(c.dtype == dt_out, "wavedecn: " + errmsg) x_roundtrip = pywt.waverecn([cA, coeffsD2, coeffsD1], wavelet) assert_(x_roundtrip.dtype == dt_out, "waverecn: " + errmsg) def test_wavedecn_complex(): data = np.ones((4, 4, 4)) + 1j coeffs = pywt.wavedecn(data, 'db1') assert_allclose(pywt.waverecn(coeffs, 'db1'), data, rtol=1e-12) def test_waverecn_dtypes(): x = np.ones((4, 4, 4)) for dt, tol in dtypes_and_tolerances: coeffs = pywt.wavedecn(x.astype(dt), 'db1') assert_allclose(pywt.waverecn(coeffs, 'db1'), x, atol=tol, rtol=tol) @dec.slow def test_waverecn_all_wavelets_modes(): # test 2D case using all wavelets and modes rstate = np.random.RandomState(1234) r = rstate.randn(80, 96) for wavelet in wavelist: for mode in pywt.Modes.modes: coeffs = pywt.wavedecn(r, wavelet, mode=mode) assert_allclose(pywt.waverecn(coeffs, wavelet, mode=mode), r, rtol=tol_single, atol=tol_single) def test_coeffs_to_array(): # single element list returns the first element a_coeffs = [np.arange(8).reshape(2, 4), ] arr, arr_slices = pywt.coeffs_to_array(a_coeffs) assert_allclose(arr, a_coeffs[0]) assert_allclose(arr, arr[arr_slices[0]]) assert_raises(ValueError, pywt.coeffs_to_array, []) # invalid second element: array as in wavedec, but not 1D assert_raises(ValueError, pywt.coeffs_to_array, [a_coeffs[0], ] * 2) # invalid second element: tuple as in wavedec2, but not a 3-tuple assert_raises(ValueError, pywt.coeffs_to_array, [a_coeffs[0], (a_coeffs[0], )]) # coefficients as None is not supported assert_raises(ValueError, pywt.coeffs_to_array, [None, ]) assert_raises(ValueError, pywt.coeffs_to_array, [a_coeffs, (None, None, None)]) # invalid type for second coefficient list element assert_raises(ValueError, pywt.coeffs_to_array, [a_coeffs, None]) # use an invalid key name in the coef dictionary coeffs = [np.array([0]), dict(d=np.array([0]), c=np.array([0]))] assert_raises(ValueError, pywt.coeffs_to_array, coeffs) def test_wavedecn_coeff_reshape_even(): # verify round trip is correct: # wavedecn - >coeffs_to_array-> array_to_coeffs -> waverecn # This is done for wavedec{1, 2, n} rng = np.random.RandomState(1234) params = {'wavedec': {'d': 1, 'dec': pywt.wavedec, 'rec': pywt.waverec}, 'wavedec2': {'d': 2, 'dec': pywt.wavedec2, 'rec': pywt.waverec2}, 'wavedecn': {'d': 3, 'dec': pywt.wavedecn, 'rec': pywt.waverecn}} N = 28 for f in params: x1 = rng.randn(*([N] * params[f]['d'])) for mode in pywt.Modes.modes: for wave in wavelist: w = pywt.Wavelet(wave) maxlevel = pywt.dwt_max_level(np.min(x1.shape), w.dec_len) if maxlevel == 0: continue coeffs = params[f]['dec'](x1, w, mode=mode) coeff_arr, coeff_slices = pywt.coeffs_to_array(coeffs) coeffs2 = pywt.array_to_coeffs(coeff_arr, coeff_slices, output_format=f) x1r = params[f]['rec'](coeffs2, w, mode=mode) assert_allclose(x1, x1r, rtol=1e-4, atol=1e-4) def test_wavedecn_coeff_reshape_axes_subset(): # verify round trip is correct when only a subset of axes are transformed: # wavedecn - >coeffs_to_array-> array_to_coeffs -> waverecn # This is done for wavedec{1, 2, n} rng = np.random.RandomState(1234) mode = 'symmetric' w = pywt.Wavelet('db2') N = 16 ndim = 3 for axes in [(-1, ), (0, ), (1, ), (0, 1), (1, 2), (0, 2), None]: x1 = rng.randn(*([N] * ndim)) coeffs = pywt.wavedecn(x1, w, mode=mode, axes=axes) coeff_arr, coeff_slices = pywt.coeffs_to_array(coeffs, axes=axes) if axes is not None: # if axes is not None, it must be provided to coeffs_to_array assert_raises(ValueError, pywt.coeffs_to_array, coeffs) # mismatched axes size assert_raises(ValueError, pywt.coeffs_to_array, coeffs, axes=(0, 1, 2, 3)) assert_raises(ValueError, pywt.coeffs_to_array, coeffs, axes=()) coeffs2 = pywt.array_to_coeffs(coeff_arr, coeff_slices) x1r = pywt.waverecn(coeffs2, w, mode=mode, axes=axes) assert_allclose(x1, x1r, rtol=1e-4, atol=1e-4) def test_coeffs_to_array_padding(): rng = np.random.RandomState(1234) x1 = rng.randn(32, 32) mode = 'symmetric' coeffs = pywt.wavedecn(x1, 'db2', mode=mode) # padding=None raises a ValueError when tight packing is not possible assert_raises(ValueError, pywt.coeffs_to_array, coeffs, padding=None) # set padded values to nan coeff_arr, coeff_slices = pywt.coeffs_to_array(coeffs, padding=np.nan) npad = np.sum(np.isnan(coeff_arr)) assert_(npad > 0) # pad with zeros coeff_arr, coeff_slices = pywt.coeffs_to_array(coeffs, padding=0) assert_(np.sum(np.isnan(coeff_arr)) == 0) assert_(np.sum(coeff_arr == 0) == npad) # Haar case with N as a power of 2 can be tightly packed coeffs_haar = pywt.wavedecn(x1, 'haar', mode=mode) coeff_arr, coeff_slices = pywt.coeffs_to_array(coeffs_haar, padding=None) # shape of coeff_arr will match in this case, but not in general assert_equal(coeff_arr.shape, x1.shape) def test_waverecn_coeff_reshape_odd(): # verify round trip is correct: # wavedecn - >coeffs_to_array-> array_to_coeffs -> waverecn rng = np.random.RandomState(1234) x1 = rng.randn(35, 33) for mode in pywt.Modes.modes: for wave in ['haar', ]: w = pywt.Wavelet(wave) maxlevel = pywt.dwt_max_level(np.min(x1.shape), w.dec_len) if maxlevel == 0: continue coeffs = pywt.wavedecn(x1, w, mode=mode) coeff_arr, coeff_slices = pywt.coeffs_to_array(coeffs) coeffs2 = pywt.array_to_coeffs(coeff_arr, coeff_slices) x1r = pywt.waverecn(coeffs2, w, mode=mode) # truncate reconstructed values to original shape x1r = x1r[[slice(s) for s in x1.shape]] assert_allclose(x1, x1r, rtol=1e-4, atol=1e-4) def test_array_to_coeffs_invalid_inputs(): coeffs = pywt.wavedecn(np.ones(2), 'haar') arr, arr_slices = pywt.coeffs_to_array(coeffs) # empty list of array slices assert_raises(ValueError, pywt.array_to_coeffs, arr, []) # invalid format name assert_raises(ValueError, pywt.array_to_coeffs, arr, arr_slices, 'foo') def test_waverec_axes_subsets(): rstate = np.random.RandomState(0) data = rstate.standard_normal((8, 8, 8)) # test all combinations of 1 out of 3 axes transformed for axis in [0, 1, 2]: coefs = pywt.wavedec(data, 'haar', axis=axis) rec = pywt.waverec(coefs, 'haar', axis=axis) assert_allclose(rec, data, atol=1e-14) def test_waverec2_axes_subsets(): rstate = np.random.RandomState(0) data = rstate.standard_normal((8, 8, 8)) # test all combinations of 2 out of 3 axes transformed for axes in combinations((0, 1, 2), 2): coefs = pywt.wavedec2(data, 'haar', axes=axes) rec = pywt.waverec2(coefs, 'haar', axes=axes) assert_allclose(rec, data, atol=1e-14) def test_waverecn_axes_subsets(): rstate = np.random.RandomState(0) data = rstate.standard_normal((8, 8, 8, 8)) # test all combinations of 3 out of 4 axes transformed for axes in combinations((0, 1, 2, 3), 3): coefs = pywt.wavedecn(data, 'haar', axes=axes) rec = pywt.waverecn(coefs, 'haar', axes=axes) assert_allclose(rec, data, atol=1e-14) def test_waverecn_int_axis(): # waverecn should also work for axes as an integer rstate = np.random.RandomState(0) data = rstate.standard_normal((8, 8)) for axis in [0, 1]: coefs = pywt.wavedecn(data, 'haar', axes=axis) rec = pywt.waverecn(coefs, 'haar', axes=axis) assert_allclose(rec, data, atol=1e-14) def test_wavedec_axis_error(): data = np.ones(4) # out of range axis not allowed assert_raises(ValueError, pywt.wavedec, data, 'haar', axis=1) def test_waverec_axis_error(): c = pywt.wavedec(np.ones(4), 'haar') # out of range axis not allowed assert_raises(ValueError, pywt.waverec, c, 'haar', axis=1) def test_wavedec2_axes_errors(): data = np.ones((4, 4)) # integer axes not allowed assert_raises(TypeError, pywt.wavedec2, data, 'haar', axes=1) # non-unique axes not allowed assert_raises(ValueError, pywt.wavedec2, data, 'haar', axes=(0, 0)) # out of range axis not allowed assert_raises(ValueError, pywt.wavedec2, data, 'haar', axes=(0, 2)) def test_waverec2_axes_errors(): data = np.ones((4, 4)) c = pywt.wavedec2(data, 'haar') # integer axes not allowed assert_raises(TypeError, pywt.waverec2, c, 'haar', axes=1) # non-unique axes not allowed assert_raises(ValueError, pywt.waverec2, c, 'haar', axes=(0, 0)) # out of range axis not allowed assert_raises(ValueError, pywt.waverec2, c, 'haar', axes=(0, 2)) def test_wavedecn_axes_errors(): data = np.ones((8, 8, 8)) # repeated axes not allowed assert_raises(ValueError, pywt.wavedecn, data, 'haar', axes=(1, 1)) # out of range axis not allowed assert_raises(ValueError, pywt.wavedecn, data, 'haar', axes=(0, 1, 3)) def test_waverecn_axes_errors(): data = np.ones((8, 8, 8)) c = pywt.wavedecn(data, 'haar') # repeated axes not allowed assert_raises(ValueError, pywt.waverecn, c, 'haar', axes=(1, 1)) # out of range axis not allowed assert_raises(ValueError, pywt.waverecn, c, 'haar', axes=(0, 1, 3)) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_perfect_reconstruction.py0000755€>SK[€>P0000000351713017375741026146 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python """ Verify DWT perfect reconstruction. """ from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import assert_, run_module_suite import pywt def test_perfect_reconstruction(): families = ('db', 'sym', 'coif', 'bior', 'rbio') wavelets = sum([pywt.wavelist(name) for name in families], []) # list of mode names in pywt and matlab modes = [('zero', 'zpd'), ('constant', 'sp0'), ('symmetric', 'sym'), ('periodic', 'ppd'), ('smooth', 'sp1'), ('periodization', 'per')] dtypes = (np.float32, np.float64) for wavelet in wavelets: for pmode, mmode in modes: for dt in dtypes: yield check_reconstruction, pmode, mmode, wavelet, dt def check_reconstruction(pmode, mmode, wavelet, dtype): data_size = list(range(2, 40)) + [100, 200, 500, 1000, 2000, 10000, 50000, 100000] np.random.seed(12345) # TODO: smoke testing - more failures for different seeds if dtype == np.float32: # was 3e-7 has to be lowered as db21, db29, db33, db35, coif14, coif16 were failing epsilon = 6e-7 else: epsilon = 5e-11 for N in data_size: data = np.asarray(np.random.random(N), dtype) # compute dwt coefficients pa, pd = pywt.dwt(data, wavelet, pmode) # compute reconstruction rec = pywt.idwt(pa, pd, wavelet, pmode) if len(data) % 2: rec = rec[:len(data)] rms_rec = np.sqrt(np.mean((data-rec)**2)) msg = ('[RMS_REC > EPSILON] for Mode: %s, Wavelet: %s, ' 'Length: %d, rms=%.3g' % (pmode, wavelet, len(data), rms_rec)) assert_(rms_rec < epsilon, msg=msg) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_swt.py0000755€>SK[€>P0000002433513017375741022173 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import warnings import numpy as np from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_equal, assert_raises, assert_array_equal) import pywt from pywt._extensions._swt import swt_axis # Check that float32 and complex64 are preserved. Other real types get # converted to float64. dtypes_in = [np.int8, np.float32, np.float64, np.complex64, np.complex128] dtypes_out = [np.float64, np.float32, np.float64, np.complex64, np.complex128] # tolerances used in accuracy comparisons tol_single = 1e-6 tol_double = 1e-13 #### # 1d multilevel swt tests #### def test_swt_decomposition(): x = [3, 7, 1, 3, -2, 6, 4, 6] db1 = pywt.Wavelet('db1') (cA3, cD3), (cA2, cD2), (cA1, cD1) = pywt.swt(x, db1, level=3) expected_cA1 = [7.07106781, 5.65685425, 2.82842712, 0.70710678, 2.82842712, 7.07106781, 7.07106781, 6.36396103] assert_allclose(cA1, expected_cA1) expected_cD1 = [-2.82842712, 4.24264069, -1.41421356, 3.53553391, -5.65685425, 1.41421356, -1.41421356, 2.12132034] assert_allclose(cD1, expected_cD1) expected_cA2 = [7, 4.5, 4, 5.5, 7, 9.5, 10, 8.5] assert_allclose(cA2, expected_cA2, rtol=tol_double) expected_cD2 = [3, 3.5, 0, -4.5, -3, 0.5, 0, 0.5] assert_allclose(cD2, expected_cD2, rtol=tol_double, atol=1e-14) expected_cA3 = [9.89949494, ] * 8 assert_allclose(cA3, expected_cA3) expected_cD3 = [0.00000000, -3.53553391, -4.24264069, -2.12132034, 0.00000000, 3.53553391, 4.24264069, 2.12132034] assert_allclose(cD3, expected_cD3) # level=1, start_level=1 decomposition should match level=2 res = pywt.swt(cA1, db1, level=1, start_level=1) cA2, cD2 = res[0] assert_allclose(cA2, expected_cA2, rtol=tol_double) assert_allclose(cD2, expected_cD2, rtol=tol_double, atol=1e-14) coeffs = pywt.swt(x, db1) assert_(len(coeffs) == 3) assert_(pywt.swt_max_level(len(x)) == 3) def test_swt_axis(): x = [3, 7, 1, 3, -2, 6, 4, 6] db1 = pywt.Wavelet('db1') (cA2, cD2), (cA1, cD1) = pywt.swt(x, db1, level=2) # test cases use 2D arrays based on tiling x along an axis and then # calling swt along the other axis. for order in ['C', 'F']: # test SWT of 2D data along default axis (-1) x_2d = np.asarray(x).reshape((1, -1)) x_2d = np.concatenate((x_2d, )*5, axis=0) if order == 'C': x_2d = np.ascontiguousarray(x_2d) elif order == 'F': x_2d = np.asfortranarray(x_2d) (cA2_2d, cD2_2d), (cA1_2d, cD1_2d) = pywt.swt(x_2d, db1, level=2) for c in [cA2_2d, cD2_2d, cA1_2d, cD1_2d]: assert_(c.shape == x_2d.shape) # each row should match the 1D result for row in cA1_2d: assert_array_equal(row, cA1) for row in cA2_2d: assert_array_equal(row, cA2) for row in cD1_2d: assert_array_equal(row, cD1) for row in cD2_2d: assert_array_equal(row, cD2) # test SWT of 2D data along other axis (0) x_2d = np.asarray(x).reshape((-1, 1)) x_2d = np.concatenate((x_2d, )*5, axis=1) if order == 'C': x_2d = np.ascontiguousarray(x_2d) elif order == 'F': x_2d = np.asfortranarray(x_2d) (cA2_2d, cD2_2d), (cA1_2d, cD1_2d) = pywt.swt(x_2d, db1, level=2, axis=0) for c in [cA2_2d, cD2_2d, cA1_2d, cD1_2d]: assert_(c.shape == x_2d.shape) # each column should match the 1D result for row in cA1_2d.transpose((1, 0)): assert_array_equal(row, cA1) for row in cA2_2d.transpose((1, 0)): assert_array_equal(row, cA2) for row in cD1_2d.transpose((1, 0)): assert_array_equal(row, cD1) for row in cD2_2d.transpose((1, 0)): assert_array_equal(row, cD2) # axis too large assert_raises(ValueError, pywt.swt, x, db1, level=2, axis=5) def test_swt_iswt_integration(): # This function performs a round-trip swt/iswt transform test on # all available types of wavelets in PyWavelets - except the # 'dmey' wavelet. The latter has been excluded because it does not # produce very precise results. This is likely due to the fact # that the 'dmey' wavelet is a discrete approximation of a # continuous wavelet. All wavelets are tested up to 3 levels. The # test validates neither swt or iswt as such, but it does ensure # that they are each other's inverse. max_level = 3 wavelets = pywt.wavelist() if 'dmey' in wavelets: # The 'dmey' wavelet seems to be a bit special - disregard it for now wavelets.remove('dmey') for current_wavelet_str in wavelets: current_wavelet = pywt.DiscreteContinuousWavelet(current_wavelet_str) if isinstance(current_wavelet, pywt.Wavelet): input_length_power = int(np.ceil(np.log2(max( current_wavelet.dec_len, current_wavelet.rec_len)))) input_length = 2**(input_length_power + max_level - 1) X = np.arange(input_length) coeffs = pywt.swt(X, current_wavelet, max_level) Y = pywt.iswt(coeffs, current_wavelet) assert_allclose(Y, X, rtol=1e-5, atol=1e-7) def test_swt_dtypes(): wavelet = pywt.Wavelet('haar') for dt_in, dt_out in zip(dtypes_in, dtypes_out): errmsg = "wrong dtype returned for {0} input".format(dt_in) # swt x = np.ones(8, dtype=dt_in) (cA2, cD2), (cA1, cD1) = pywt.swt(x, wavelet, level=2) assert_(cA2.dtype == cD2.dtype == cA1.dtype == cD1.dtype == dt_out, "swt: " + errmsg) # swt2 with warnings.catch_warnings(): warnings.simplefilter('ignore', FutureWarning) x = np.ones((8, 8), dtype=dt_in) cA, (cH, cV, cD) = pywt.swt2(x, wavelet, level=1)[0] assert_(cA.dtype == cH.dtype == cV.dtype == cD.dtype == dt_out, "swt2: " + errmsg) def test_swt2_ndim_error(): x = np.ones(8) with warnings.catch_warnings(): warnings.simplefilter('ignore', FutureWarning) assert_raises(ValueError, pywt.swt2, x, 'haar', level=1) def test_swt2_iswt2_integration(): # This function performs a round-trip swt2/iswt2 transform test on # all available types of wavelets in PyWavelets - except the # 'dmey' wavelet. The latter has been excluded because it does not # produce very precise results. This is likely due to the fact # that the 'dmey' wavelet is a discrete approximation of a # continuous wavelet. All wavelets are tested up to 3 levels. The # test validates neither swt2 or iswt2 as such, but it does ensure # that they are each other's inverse. max_level = 3 wavelets = pywt.wavelist() if 'dmey' in wavelets: # The 'dmey' wavelet seems to be a bit special - disregard it for now wavelets.remove('dmey') for current_wavelet_str in wavelets: current_wavelet = pywt.DiscreteContinuousWavelet(current_wavelet_str) if isinstance(current_wavelet, pywt.Wavelet): input_length_power = int(np.ceil(np.log2(max( current_wavelet.dec_len, current_wavelet.rec_len)))) input_length = 2**(input_length_power + max_level - 1) X = np.arange(input_length**2).reshape(input_length, input_length) with warnings.catch_warnings(): warnings.simplefilter('ignore', FutureWarning) coeffs = pywt.swt2(X, current_wavelet, max_level) Y = pywt.iswt2(coeffs, current_wavelet) assert_allclose(Y, X, rtol=1e-5, atol=1e-5) def test_swt2_axes(): atol = 1e-14 current_wavelet = pywt.Wavelet('db2') input_length_power = int(np.ceil(np.log2(max( current_wavelet.dec_len, current_wavelet.rec_len)))) input_length = 2**(input_length_power) X = np.arange(input_length**2).reshape(input_length, input_length) with warnings.catch_warnings(): warnings.simplefilter('ignore', FutureWarning) (cA1, (cH1, cV1, cD1)) = pywt.swt2(X, current_wavelet, level=1)[0] # opposite order (cA2, (cH2, cV2, cD2)) = pywt.swt2(X, current_wavelet, level=1, axes=(1, 0))[0] assert_allclose(cA1, cA2, atol=atol) assert_allclose(cH1, cV2, atol=atol) assert_allclose(cV1, cH2, atol=atol) assert_allclose(cD1, cD2, atol=atol) # duplicate axes not allowed assert_raises(ValueError, pywt.swt2, X, current_wavelet, 1, axes=(0, 0)) # too few axes assert_raises(ValueError, pywt.swt2, X, current_wavelet, 1, axes=(0, )) def test_swtn_axes(): atol = 1e-14 current_wavelet = pywt.Wavelet('db2') input_length_power = int(np.ceil(np.log2(max( current_wavelet.dec_len, current_wavelet.rec_len)))) input_length = 2**(input_length_power) X = np.arange(input_length**2).reshape(input_length, input_length) coeffs = pywt.swtn(X, current_wavelet, level=1, axes=None)[0] # opposite order coeffs2 = pywt.swtn(X, current_wavelet, level=1, axes=(1, 0))[0] assert_allclose(coeffs['aa'], coeffs2['aa'], atol=atol) assert_allclose(coeffs['ad'], coeffs2['da'], atol=atol) assert_allclose(coeffs['da'], coeffs2['ad'], atol=atol) assert_allclose(coeffs['dd'], coeffs2['dd'], atol=atol) # 0-level transform empty = pywt.swtn(X, current_wavelet, level=0) assert_equal(empty, []) # duplicate axes not allowed assert_raises(ValueError, pywt.swtn, X, current_wavelet, 1, axes=(0, 0)) # data.ndim = 0 assert_raises(ValueError, pywt.swtn, np.asarray([]), current_wavelet, 1) # start_level too large assert_raises(ValueError, pywt.swtn, X, current_wavelet, level=1, start_level=2) # level < 1 in swt_axis call assert_raises(ValueError, swt_axis, X, current_wavelet, level=0, start_level=0) # odd-sized data not allowed assert_raises(ValueError, swt_axis, X[:-1, :], current_wavelet, level=0, start_level=0, axis=0) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_thresholding.py0000755€>SK[€>P0000000406013017375741024041 0ustar lee8rxdomain^users00000000000000from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import assert_allclose, run_module_suite, assert_raises import pywt def test_threshold(): data = np.linspace(1, 4, 7) # soft soft_result = [0., 0., 0., 0.5, 1., 1.5, 2.] assert_allclose(pywt.threshold(data, 2, 'soft'), np.array(soft_result), rtol=1e-12) assert_allclose(pywt.threshold(-data, 2, 'soft'), -np.array(soft_result), rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 1, 'soft'), [[0, 1]] * 2, rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 2, 'soft'), [[0, 0]] * 2, rtol=1e-12) # hard hard_result = [0., 0., 2., 2.5, 3., 3.5, 4.] assert_allclose(pywt.threshold(data, 2, 'hard'), np.array(hard_result), rtol=1e-12) assert_allclose(pywt.threshold(-data, 2, 'hard'), -np.array(hard_result), rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 1, 'hard'), [[1, 2]] * 2, rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 2, 'hard'), [[0, 2]] * 2, rtol=1e-12) # greater greater_result = [0., 0., 2., 2.5, 3., 3.5, 4.] assert_allclose(pywt.threshold(data, 2, 'greater'), np.array(greater_result), rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 1, 'greater'), [[1, 2]] * 2, rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 2, 'greater'), [[0, 2]] * 2, rtol=1e-12) # less assert_allclose(pywt.threshold(data, 2, 'less'), np.array([1., 1.5, 2., 0., 0., 0., 0.]), rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 1, 'less'), [[1, 0]] * 2, rtol=1e-12) assert_allclose(pywt.threshold([[1, 2]] * 2, 2, 'less'), [[1, 2]] * 2, rtol=1e-12) # invalid assert_raises(ValueError, pywt.threshold, data, 2, 'foo') if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_wavelet.py0000755€>SK[€>P0000002600613017375741023022 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import run_module_suite, assert_allclose, assert_ import pywt def test_wavelet_properties(): w = pywt.Wavelet('db3') # Name assert_(w.name == 'db3') assert_(w.short_family_name == 'db') assert_(w.family_name, 'Daubechies') # String representation fields = ('Family name', 'Short name', 'Filters length', 'Orthogonal', 'Biorthogonal', 'Symmetry') for field in fields: assert_(field in str(w)) # Filter coefficients dec_lo = [0.03522629188210, -0.08544127388224, -0.13501102001039, 0.45987750211933, 0.80689150931334, 0.33267055295096] dec_hi = [-0.33267055295096, 0.80689150931334, -0.45987750211933, -0.13501102001039, 0.08544127388224, 0.03522629188210] rec_lo = [0.33267055295096, 0.80689150931334, 0.45987750211933, -0.13501102001039, -0.08544127388224, 0.03522629188210] rec_hi = [0.03522629188210, 0.08544127388224, -0.13501102001039, -0.45987750211933, 0.80689150931334, -0.33267055295096] assert_allclose(w.dec_lo, dec_lo) assert_allclose(w.dec_hi, dec_hi) assert_allclose(w.rec_lo, rec_lo) assert_allclose(w.rec_hi, rec_hi) assert_(len(w.filter_bank) == 4) # Orthogonality assert_(w.orthogonal) assert_(w.biorthogonal) # Symmetry assert_(w.symmetry) # Vanishing moments assert_(w.vanishing_moments_phi == 0) assert_(w.vanishing_moments_psi == 3) def test_wavelet_coefficients(): families = ('db', 'sym', 'coif', 'bior', 'rbio') wavelets = sum([pywt.wavelist(name) for name in families], []) for wavelet in wavelets: if (pywt.Wavelet(wavelet).orthogonal): yield check_coefficients_orthogonal, wavelet elif(pywt.Wavelet(wavelet).biorthogonal): yield check_coefficients_biorthogonal, wavelet else: yield check_coefficients, wavelet def check_coefficients_orthogonal(wavelet): epsilon = 5e-11 level = 5 w = pywt.Wavelet(wavelet) phi, psi, x = w.wavefun(level=level) # Lowpass filter coefficients sum to sqrt2 res = np.sum(w.dec_lo)-np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # sum even coef = sum odd coef = 1 / sqrt(2) res = np.sum(w.dec_lo[::2])-1./np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) res = np.sum(w.dec_lo[1::2])-1./np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # Highpass filter coefficients sum to zero res = np.sum(w.dec_hi) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # Scaling function integrates to unity res = np.sum(phi) - 2**level msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # Wavelet function is orthogonal to the scaling function at the same scale res = np.sum(phi*psi) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # The lowpass and highpass filter coefficients are orthogonal res = np.sum(np.array(w.dec_lo)*np.array(w.dec_hi)) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) def check_coefficients_biorthogonal(wavelet): epsilon = 5e-11 level = 5 w = pywt.Wavelet(wavelet) phi_d, psi_d, phi_r, psi_r, x = w.wavefun(level=level) # Lowpass filter coefficients sum to sqrt2 res = np.sum(w.dec_lo)-np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # sum even coef = sum odd coef = 1 / sqrt(2) res = np.sum(w.dec_lo[::2])-1./np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) res = np.sum(w.dec_lo[1::2])-1./np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # Highpass filter coefficients sum to zero res = np.sum(w.dec_hi) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # Scaling function integrates to unity res = np.sum(phi_d) - 2**level msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) res = np.sum(phi_r) - 2**level msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) def check_coefficients(wavelet): epsilon = 5e-11 level = 10 w = pywt.Wavelet(wavelet) # Lowpass filter coefficients sum to sqrt2 res = np.sum(w.dec_lo)-np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # sum even coef = sum odd coef = 1 / sqrt(2) res = np.sum(w.dec_lo[::2])-1./np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) res = np.sum(w.dec_lo[1::2])-1./np.sqrt(2) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) # Highpass filter coefficients sum to zero res = np.sum(w.dec_hi) msg = ('[RMS_REC > EPSILON] for Wavelet: %s, rms=%.3g' % (wavelet, res)) assert_(res < epsilon, msg=msg) class _CustomHaarFilterBank(object): @property def filter_bank(self): val = np.sqrt(2) / 2 return ([val]*2, [-val, val], [val]*2, [val, -val]) def test_custom_wavelet(): haar_custom1 = pywt.Wavelet('Custom Haar Wavelet', filter_bank=_CustomHaarFilterBank()) haar_custom1.orthogonal = True haar_custom1.biorthogonal = True val = np.sqrt(2) / 2 filter_bank = ([val]*2, [-val, val], [val]*2, [val, -val]) haar_custom2 = pywt.Wavelet('Custom Haar Wavelet', filter_bank=filter_bank) # check expected default wavelet properties assert_(~haar_custom2.orthogonal) assert_(~haar_custom2.biorthogonal) assert_(haar_custom2.symmetry == 'unknown') assert_(haar_custom2.family_name == '') assert_(haar_custom2.short_family_name == '') assert_(haar_custom2.vanishing_moments_phi == 0) assert_(haar_custom2.vanishing_moments_psi == 0) # Some properties can be set by the user haar_custom2.orthogonal = True haar_custom2.biorthogonal = True def test_wavefun_sym3(): w = pywt.Wavelet('sym3') # sym3 is an orthogonal wavelet, so 3 outputs from wavefun phi, psi, x = w.wavefun(level=3) assert_(phi.size == 41) assert_(psi.size == 41) assert_(x.size == 41) assert_allclose(x, np.linspace(0, 5, num=x.size)) phi_expect = np.array([0.00000000e+00, 1.04132926e-01, 2.52574126e-01, 3.96525521e-01, 5.70356539e-01, 7.18934305e-01, 8.70293448e-01, 1.05363620e+00, 1.24921722e+00, 1.15296888e+00, 9.41669683e-01, 7.55875887e-01, 4.96118565e-01, 3.28293151e-01, 1.67624969e-01, -7.33690312e-02, -3.35452855e-01, -3.31221131e-01, -2.32061503e-01, -1.66854239e-01, -4.34091324e-02, -2.86152390e-02, -3.63563035e-02, 2.06034491e-02, 8.30280254e-02, 7.17779073e-02, 3.85914311e-02, 1.47527100e-02, -2.31896077e-02, -1.86122172e-02, -1.56211329e-03, -8.70615088e-04, 3.20760857e-03, 2.34142153e-03, -7.73737194e-04, -2.99879354e-04, 1.23636238e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]) psi_expect = np.array([0.00000000e+00, 1.10265752e-02, 2.67449277e-02, 4.19878574e-02, 6.03947231e-02, 7.61275365e-02, 9.21548684e-02, 1.11568926e-01, 1.32278887e-01, 6.45829680e-02, -3.97635130e-02, -1.38929884e-01, -2.62428322e-01, -3.62246804e-01, -4.62843343e-01, -5.89607507e-01, -7.25363076e-01, -3.36865858e-01, 2.67715108e-01, 8.40176767e-01, 1.55574430e+00, 1.18688954e+00, 4.20276324e-01, -1.51697311e-01, -9.42076108e-01, -7.93172332e-01, -3.26343710e-01, -1.24552779e-01, 2.12909254e-01, 1.75770320e-01, 1.47523075e-02, 8.22192707e-03, -3.02920592e-02, -2.21119497e-02, 7.30703025e-03, 2.83200488e-03, -1.16759765e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]) assert_allclose(phi, phi_expect) assert_allclose(psi, psi_expect) def test_wavefun_bior13(): w = pywt.Wavelet('bior1.3') # bior1.3 is not an orthogonal wavelet, so 5 outputs from wavefun phi_d, psi_d, phi_r, psi_r, x = w.wavefun(level=3) for arr in [phi_d, psi_d, phi_r, psi_r]: assert_(arr.size == 40) phi_d_expect = np.array([0., -0.00195313, 0.00195313, 0.01757813, 0.01367188, 0.00390625, -0.03515625, -0.12890625, -0.15234375, -0.125, -0.09375, -0.0625, 0.03125, 0.15234375, 0.37890625, 0.78515625, 0.99609375, 1.08203125, 1.13671875, 1.13671875, 1.08203125, 0.99609375, 0.78515625, 0.37890625, 0.15234375, 0.03125, -0.0625, -0.09375, -0.125, -0.15234375, -0.12890625, -0.03515625, 0.00390625, 0.01367188, 0.01757813, 0.00195313, -0.00195313, 0., 0., 0.]) phi_r_expect = np.zeros(x.size, dtype=np.float) phi_r_expect[15:23] = 1 psi_d_expect = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0.015625, -0.015625, -0.140625, -0.109375, -0.03125, 0.28125, 1.03125, 1.21875, 1.125, 0.625, -0.625, -1.125, -1.21875, -1.03125, -0.28125, 0.03125, 0.109375, 0.140625, 0.015625, -0.015625, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) psi_r_expect = np.zeros(x.size, dtype=np.float) psi_r_expect[7:15] = -0.125 psi_r_expect[15:19] = 1 psi_r_expect[19:23] = -1 psi_r_expect[23:31] = 0.125 assert_allclose(x, np.linspace(0, 5, x.size, endpoint=False)) assert_allclose(phi_d, phi_d_expect, rtol=1e-5, atol=1e-9) assert_allclose(phi_r, phi_r_expect, rtol=1e-10, atol=1e-12) assert_allclose(psi_d, psi_d_expect, rtol=1e-10, atol=1e-12) assert_allclose(psi_r, psi_r_expect, rtol=1e-10, atol=1e-12) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_wp.py0000755€>SK[€>P0000001076013017375741022001 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_raises) import pywt def test_wavelet_packet_structure(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') assert_(wp.data == [1, 2, 3, 4, 5, 6, 7, 8]) assert_(wp.path == '') assert_(wp.level == 0) assert_(wp['ad'].maxlevel == 3) def test_traversing_wp_tree(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') assert_(wp.maxlevel == 3) # First level assert_allclose(wp['a'].data, np.array([2.12132034356, 4.949747468306, 7.778174593052, 10.606601717798]), rtol=1e-12) # Second level assert_allclose(wp['aa'].data, np.array([5., 13.]), rtol=1e-12) # Third level assert_allclose(wp['aaa'].data, np.array([12.727922061358]), rtol=1e-12) def test_acess_path(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') assert_(wp['a'].path == 'a') assert_(wp['aa'].path == 'aa') assert_(wp['aaa'].path == 'aaa') # Maximum level reached: assert_raises(IndexError, lambda: wp['aaaa'].path) # Wrong path assert_raises(ValueError, lambda: wp['ac'].path) def test_access_node_atributes(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') assert_allclose(wp['ad'].data, np.array([-2., -2.]), rtol=1e-12) assert_(wp['ad'].path == 'ad') assert_(wp['ad'].node_name == 'd') assert_(wp['ad'].parent.path == 'a') assert_(wp['ad'].level == 2) assert_(wp['ad'].maxlevel == 3) assert_(wp['ad'].mode == 'symmetric') def test_collecting_nodes(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') # All nodes in natural order assert_([node.path for node in wp.get_level(3, 'natural')] == ['aaa', 'aad', 'ada', 'add', 'daa', 'dad', 'dda', 'ddd']) # and in frequency order. assert_([node.path for node in wp.get_level(3, 'freq')] == ['aaa', 'aad', 'add', 'ada', 'dda', 'ddd', 'dad', 'daa']) def test_reconstructing_data(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') # Create another Wavelet Packet and feed it with some data. new_wp = pywt.WaveletPacket(data=None, wavelet='db1', mode='symmetric') new_wp['aa'] = wp['aa'].data new_wp['ad'] = [-2., -2.] # For convenience, :attr:`Node.data` gets automatically extracted # from the :class:`Node` object: new_wp['d'] = wp['d'] # Reconstruct data from aa, ad, and d packets. assert_allclose(new_wp.reconstruct(update=False), x, rtol=1e-12) # The node's :attr:`~Node.data` will not be updated assert_(new_wp.data is None) # When `update` is True: assert_allclose(new_wp.reconstruct(update=True), x, rtol=1e-12) assert_allclose(new_wp.data, np.arange(1, 9), rtol=1e-12) assert_([n.path for n in new_wp.get_leaf_nodes(False)] == ['aa', 'ad', 'd']) assert_([n.path for n in new_wp.get_leaf_nodes(True)] == ['aaa', 'aad', 'ada', 'add', 'daa', 'dad', 'dda', 'ddd']) def test_removing_nodes(): x = [1, 2, 3, 4, 5, 6, 7, 8] wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric') wp.get_level(2) dataleafs = [n.data for n in wp.get_leaf_nodes(False)] expected = np.array([[5., 13.], [-2, -2], [-1, -1], [0, 0]]) for i in range(4): assert_allclose(dataleafs[i], expected[i, :], atol=1e-12) node = wp['ad'] del(wp['ad']) dataleafs = [n.data for n in wp.get_leaf_nodes(False)] expected = np.array([[5., 13.], [-1, -1], [0, 0]]) for i in range(3): assert_allclose(dataleafs[i], expected[i, :], atol=1e-12) wp.reconstruct() # The reconstruction is: assert_allclose(wp.reconstruct(), np.array([2., 3., 2., 3., 6., 7., 6., 7.]), rtol=1e-12) # Restore the data wp['ad'].data = node.data dataleafs = [n.data for n in wp.get_leaf_nodes(False)] expected = np.array([[5., 13.], [-2, -2], [-1, -1], [0, 0]]) for i in range(4): assert_allclose(dataleafs[i], expected[i, :], atol=1e-12) assert_allclose(wp.reconstruct(), np.arange(1, 9), rtol=1e-12) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test_wp2d.py0000755€>SK[€>P0000001312213017375741022222 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_raises) import pywt def test_traversing_tree_2d(): x = np.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8, dtype=np.float64) wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') assert_(np.all(wp.data == x)) assert_(wp.path == '') assert_(wp.level == 0) assert_(wp.maxlevel == 3) assert_allclose(wp['a'].data, np.array([[3., 7., 11., 15.]] * 4), rtol=1e-12) assert_allclose(wp['h'].data, np.zeros((4, 4)), rtol=1e-12, atol=1e-14) assert_allclose(wp['v'].data, -np.ones((4, 4)), rtol=1e-12, atol=1e-14) assert_allclose(wp['d'].data, np.zeros((4, 4)), rtol=1e-12, atol=1e-14) assert_allclose(wp['aa'].data, np.array([[10., 26.]] * 2), rtol=1e-12) assert_(wp['a']['a'].data is wp['aa'].data) assert_allclose(wp['aaa'].data, np.array([[36.]]), rtol=1e-12) assert_raises(IndexError, lambda: wp['aaaa']) assert_raises(ValueError, lambda: wp['f']) def test_accessing_node_atributes_2d(): x = np.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8, dtype=np.float64) wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') assert_allclose(wp['av'].data, np.zeros((2, 2)) - 4, rtol=1e-12) assert_(wp['av'].path == 'av') assert_(wp['av'].node_name == 'v') assert_(wp['av'].parent.path == 'a') assert_allclose(wp['av'].parent.data, np.array([[3., 7., 11., 15.]] * 4), rtol=1e-12) assert_(wp['av'].level == 2) assert_(wp['av'].maxlevel == 3) assert_(wp['av'].mode == 'symmetric') def test_collecting_nodes_2d(): x = np.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8, dtype=np.float64) wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') assert_(len(wp.get_level(0)) == 1) assert_(wp.get_level(0)[0].path == '') # First level assert_(len(wp.get_level(1)) == 4) assert_([node.path for node in wp.get_level(1)] == ['a', 'h', 'v', 'd']) # Second level assert_(len(wp.get_level(2)) == 16) paths = [node.path for node in wp.get_level(2)] expected_paths = ['aa', 'ah', 'av', 'ad', 'ha', 'hh', 'hv', 'hd', 'va', 'vh', 'vv', 'vd', 'da', 'dh', 'dv', 'dd'] assert_(paths == expected_paths) # Third level. assert_(len(wp.get_level(3)) == 64) paths = [node.path for node in wp.get_level(3)] expected_paths = ['aaa', 'aah', 'aav', 'aad', 'aha', 'ahh', 'ahv', 'ahd', 'ava', 'avh', 'avv', 'avd', 'ada', 'adh', 'adv', 'add', 'haa', 'hah', 'hav', 'had', 'hha', 'hhh', 'hhv', 'hhd', 'hva', 'hvh', 'hvv', 'hvd', 'hda', 'hdh', 'hdv', 'hdd', 'vaa', 'vah', 'vav', 'vad', 'vha', 'vhh', 'vhv', 'vhd', 'vva', 'vvh', 'vvv', 'vvd', 'vda', 'vdh', 'vdv', 'vdd', 'daa', 'dah', 'dav', 'dad', 'dha', 'dhh', 'dhv', 'dhd', 'dva', 'dvh', 'dvv', 'dvd', 'dda', 'ddh', 'ddv', 'ddd'] assert_(paths == expected_paths) def test_data_reconstruction_2d(): x = np.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8, dtype=np.float64) wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') new_wp = pywt.WaveletPacket2D(data=None, wavelet='db1', mode='symmetric') new_wp['vh'] = wp['vh'].data new_wp['vv'] = wp['vh'].data new_wp['vd'] = np.zeros((2, 2), dtype=np.float64) new_wp['a'] = [[3.0, 7.0, 11.0, 15.0]] * 4 new_wp['d'] = np.zeros((4, 4), dtype=np.float64) new_wp['h'] = wp['h'] # all zeros assert_allclose(new_wp.reconstruct(update=False), np.array([[1.5, 1.5, 3.5, 3.5, 5.5, 5.5, 7.5, 7.5]] * 8), rtol=1e-12) assert_allclose(wp['va'].data, np.zeros((2, 2)) - 2, rtol=1e-12) new_wp['va'] = wp['va'].data assert_allclose(new_wp.reconstruct(update=False), x, rtol=1e-12) def test_data_reconstruction_delete_nodes_2d(): x = np.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8, dtype=np.float64) wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') new_wp = pywt.WaveletPacket2D(data=None, wavelet='db1', mode='symmetric') new_wp['vh'] = wp['vh'].data new_wp['vv'] = wp['vh'].data new_wp['vd'] = np.zeros((2, 2), dtype=np.float64) new_wp['a'] = [[3.0, 7.0, 11.0, 15.0]] * 4 new_wp['d'] = np.zeros((4, 4), dtype=np.float64) new_wp['h'] = wp['h'] # all zeros assert_allclose(new_wp.reconstruct(update=False), np.array([[1.5, 1.5, 3.5, 3.5, 5.5, 5.5, 7.5, 7.5]] * 8), rtol=1e-12) new_wp['va'] = wp['va'].data assert_allclose(new_wp.reconstruct(update=False), x, rtol=1e-12) del(new_wp['va']) new_wp['va'] = wp['va'].data assert_(new_wp.data is None) assert_allclose(new_wp.reconstruct(update=True), x, rtol=1e-12) assert_allclose(new_wp.data, x, rtol=1e-12) # TODO: decompose=True def test_lazy_evaluation_2D(): # Note: internal implementation detail not to be relied on. Testing for # now for backwards compatibility, but this test may be broken in needed. x = np.array([[1, 2, 3, 4, 5, 6, 7, 8]] * 8) wp = pywt.WaveletPacket2D(data=x, wavelet='db1', mode='symmetric') assert_(wp.a is None) assert_allclose(wp['a'].data, np.array([[3., 7., 11., 15.]] * 4), rtol=1e-12) assert_allclose(wp.a.data, np.array([[3., 7., 11., 15.]] * 4), rtol=1e-12) assert_allclose(wp.d.data, np.zeros((4, 4)), rtol=1e-12, atol=1e-12) if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/tests/test__pywt.py0000755€>SK[€>P0000001022613017375741022512 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_raises) import pywt def test_upcoef_reconstruct(): data = np.arange(3) a = pywt.downcoef('a', data, 'haar') d = pywt.downcoef('d', data, 'haar') rec = (pywt.upcoef('a', a, 'haar', take=3) + pywt.upcoef('d', d, 'haar', take=3)) assert_allclose(rec, data) def test_downcoef_multilevel(): rstate = np.random.RandomState(1234) r = rstate.randn(16) nlevels = 3 # calling with level=1 nlevels times a1 = r.copy() for i in range(nlevels): a1 = pywt.downcoef('a', a1, 'haar', level=1) # call with level=nlevels once a3 = pywt.downcoef('a', r, 'haar', level=nlevels) assert_allclose(a1, a3) def test_downcoef_complex(): rstate = np.random.RandomState(1234) r = rstate.randn(16) + 1j * rstate.randn(16) nlevels = 3 a = pywt.downcoef('a', r, 'haar', level=nlevels) a_ref = pywt.downcoef('a', r.real, 'haar', level=nlevels) a_ref = a_ref + 1j * pywt.downcoef('a', r.imag, 'haar', level=nlevels) assert_allclose(a, a_ref) def test_downcoef_errs(): # invalid part string (not 'a' or 'd') assert_raises(ValueError, pywt.downcoef, 'f', np.ones(16), 'haar') def test_compare_downcoef_coeffs(): rstate = np.random.RandomState(1234) r = rstate.randn(16) # compare downcoef against wavedec outputs for nlevels in [1, 2, 3]: for wavelet in pywt.wavelist(): wavelet = pywt.DiscreteContinuousWavelet(wavelet) if isinstance(wavelet, pywt.Wavelet): max_level = pywt.dwt_max_level(r.size, wavelet.dec_len) if nlevels <= max_level: a = pywt.downcoef('a', r, wavelet, level=nlevels) d = pywt.downcoef('d', r, wavelet, level=nlevels) coeffs = pywt.wavedec(r, wavelet, level=nlevels) assert_allclose(a, coeffs[0]) assert_allclose(d, coeffs[1]) def test_upcoef_multilevel(): rstate = np.random.RandomState(1234) r = rstate.randn(4) nlevels = 3 # calling with level=1 nlevels times a1 = r.copy() for i in range(nlevels): a1 = pywt.upcoef('a', a1, 'haar', level=1) # call with level=nlevels once a3 = pywt.upcoef('a', r, 'haar', level=nlevels) assert_allclose(a1, a3) def test_upcoef_complex(): rstate = np.random.RandomState(1234) r = rstate.randn(4) + 1j*rstate.randn(4) nlevels = 3 a = pywt.upcoef('a', r, 'haar', level=nlevels) a_ref = pywt.upcoef('a', r.real, 'haar', level=nlevels) a_ref = a_ref + 1j*pywt.upcoef('a', r.imag, 'haar', level=nlevels) assert_allclose(a, a_ref) def test_upcoef_errs(): # invalid part string (not 'a' or 'd') assert_raises(ValueError, pywt.upcoef, 'f', np.ones(4), 'haar') def test_wavelet_repr(): from pywt._extensions import _pywt wavelet = _pywt.Wavelet('sym8') repr_wavelet = eval(wavelet.__repr__()) assert_(wavelet.__repr__() == repr_wavelet.__repr__()) def test_dwt_max_level(): assert_(pywt.dwt_max_level(16, 2) == 4) assert_(pywt.dwt_max_level(16, 8) == 1) assert_(pywt.dwt_max_level(16, 9) == 1) assert_(pywt.dwt_max_level(16, 10) == 0) assert_(pywt.dwt_max_level(16, 18) == 0) def test_ContinuousWavelet_errs(): assert_raises(ValueError, pywt.ContinuousWavelet, 'qwertz') def test_ContinuousWavelet_repr(): from pywt._extensions import _pywt wavelet = _pywt.ContinuousWavelet('gaus2') repr_wavelet = eval(wavelet.__repr__()) assert_(wavelet.__repr__() == repr_wavelet.__repr__()) def test_wavelist(): for name in pywt.wavelist(family='coif'): assert_(name.startswith('coif')) assert_('cgau7' in pywt.wavelist(kind='continuous')) assert_('sym20' in pywt.wavelist(kind='discrete')) assert_(len(pywt.wavelist(kind='continuous')) + len(pywt.wavelist(kind='discrete')) == len(pywt.wavelist(kind='all'))) assert_raises(ValueError, pywt.wavelist, kind='foobar') if __name__ == '__main__': run_module_suite() PyWavelets-0.5.1/pywt/version.py0000755€>SK[€>P0000000035113017375777020643 0ustar lee8rxdomain^users00000000000000 # THIS FILE IS GENERATED FROM PYWAVELETS SETUP.PY short_version = '0.5.1' version = '0.5.1' full_version = '0.5.1' git_revision = '03c909c021456c1d7b86dd5cc63bcfd926f6ca34' release = True if not release: version = full_version PyWavelets-0.5.1/pywt/_cwt.py0000755€>SK[€>P0000000655413017375740020113 0ustar lee8rxdomain^users00000000000000import numpy as np from ._extensions._pywt import (DiscreteContinuousWavelet, ContinuousWavelet, Wavelet, _check_dtype) from ._functions import integrate_wavelet, scale2frequency __all__ = ["cwt"] def cwt(data, scales, wavelet, sampling_period=1.): """ cwt(data, scales, wavelet) One dimensional Continuous Wavelet Transform. Parameters ---------- data : array_like Input signal scales : array_like scales to use wavelet : Wavelet object or name Wavelet to use sampling_period : float Sampling period for frequencies output (optional) Returns ------- coefs : array_like Continous wavelet transform of the input signal for the given scales and wavelet frequencies : array_like if the unit of sampling period are seconds and given, than frequencies are in hertz. Otherwise Sampling period of 1 is assumed. Notes ----- Size of coefficients arrays depends on the length of the input array and the length of given scales. Examples -------- >>> import pywt >>> import numpy as np >>> import matplotlib.pyplot as plt >>> x = np.arange(512) >>> y = np.sin(2*np.pi*x/32) >>> coef, freqs=pywt.cwt(y,np.arange(1,129),'gaus1') >>> plt.matshow(coef) # doctest: +SKIP >>> plt.show() # doctest: +SKIP ---------- >>> import pywt >>> import numpy as np >>> import matplotlib.pyplot as plt >>> t = np.linspace(-1, 1, 200, endpoint=False) >>> sig = np.cos(2 * np.pi * 7 * t) + np.real(np.exp(-7*(t-0.4)**2)*np.exp(1j*2*np.pi*2*(t-0.4))) >>> widths = np.arange(1, 31) >>> cwtmatr, freqs = pywt.cwt(sig, widths, 'mexh') >>> plt.imshow(cwtmatr, extent=[-1, 1, 1, 31], cmap='PRGn', aspect='auto', ... vmax=abs(cwtmatr).max(), vmin=-abs(cwtmatr).max()) # doctest: +SKIP >>> plt.show() # doctest: +SKIP """ # accept array_like input; make a copy to ensure a contiguous array dt = _check_dtype(data) data = np.array(data, dtype=dt) if not isinstance(wavelet, (ContinuousWavelet, Wavelet)): wavelet = DiscreteContinuousWavelet(wavelet) if np.isscalar(scales): scales = np.array([scales]) if data.ndim == 1: if wavelet.complex_cwt: out = np.zeros((np.size(scales), data.size), dtype=complex) else: out = np.zeros((np.size(scales), data.size)) for i in np.arange(np.size(scales)): precision = 10 int_psi, x = integrate_wavelet(wavelet, precision=precision) step = x[1] - x[0] j = np.floor( np.arange(scales[i] * (x[-1] - x[0]) + 1) / (scales[i] * step)) if np.max(j) >= np.size(int_psi): j = np.delete(j, np.where((j >= np.size(int_psi)))[0]) coef = - np.sqrt(scales[i]) * np.diff( np.convolve(data, int_psi[j.astype(np.int)][::-1])) d = (coef.size - data.size) / 2. out[i, :] = coef[int(np.floor(d)):int(-np.ceil(d))] frequencies = scale2frequency(wavelet, scales, precision) if np.isscalar(frequencies): frequencies = np.array([frequencies]) for i in np.arange(len(frequencies)): frequencies[i] /= sampling_period return out, frequencies else: raise ValueError("Only dim == 1 supportet") PyWavelets-0.5.1/pywt/_dwt.py0000755€>SK[€>P0000002324313017375740020106 0ustar lee8rxdomain^users00000000000000import numpy as np from ._extensions._pywt import Wavelet, Modes, _check_dtype from ._extensions._dwt import (dwt_single, dwt_axis, idwt_single, idwt_axis, upcoef as _upcoef, downcoef as _downcoef, dwt_max_level as _dwt_max_level, dwt_coeff_len as _dwt_coeff_len) __all__ = ["dwt", "idwt", "downcoef", "upcoef", "dwt_max_level", "dwt_coeff_len"] def dwt_max_level(data_len, filter_len): """ dwt_max_level(data_len, filter_len) Compute the maximum useful level of decomposition. Parameters ---------- data_len : int Input data length. filter_len : int Wavelet filter length. Returns ------- max_level : int Maximum level. Examples -------- >>> import pywt >>> w = pywt.Wavelet('sym5') >>> pywt.dwt_max_level(data_len=1000, filter_len=w.dec_len) 6 >>> pywt.dwt_max_level(1000, w) 6 """ if isinstance(filter_len, Wavelet): filter_len = filter_len.dec_len return _dwt_max_level(data_len, filter_len) def dwt_coeff_len(data_len, filter_len, mode): """ dwt_coeff_len(data_len, filter_len, mode='symmetric') Returns length of dwt output for given data length, filter length and mode Parameters ---------- data_len : int Data length. filter_len : int Filter length. mode : str, optional (default: 'symmetric') Signal extension mode, see Modes Returns ------- len : int Length of dwt output. Notes ----- For all modes except periodization:: len(cA) == len(cD) == floor((len(data) + wavelet.dec_len - 1) / 2) for periodization mode ("per"):: len(cA) == len(cD) == ceil(len(data) / 2) """ if isinstance(filter_len, Wavelet): filter_len = filter_len.dec_len return _dwt_coeff_len(data_len, filter_len, Modes.from_object(mode)) def dwt(data, wavelet, mode='symmetric', axis=-1): """ dwt(data, wavelet, mode='symmetric', axis=-1) Single level Discrete Wavelet Transform. Parameters ---------- data : array_like Input signal wavelet : Wavelet object or name Wavelet to use mode : str, optional Signal extension mode, see Modes axis: int, optional Axis over which to compute the DWT. If not given, the last axis is used. Returns ------- (cA, cD) : tuple Approximation and detail coefficients. Notes ----- Length of coefficients arrays depends on the selected mode. For all modes except periodization: ``len(cA) == len(cD) == floor((len(data) + wavelet.dec_len - 1) / 2)`` For periodization mode ("per"): ``len(cA) == len(cD) == ceil(len(data) / 2)`` Examples -------- >>> import pywt >>> (cA, cD) = pywt.dwt([1, 2, 3, 4, 5, 6], 'db1') >>> cA array([ 2.12132034, 4.94974747, 7.77817459]) >>> cD array([-0.70710678, -0.70710678, -0.70710678]) """ if np.iscomplexobj(data): data = np.asarray(data) cA_r, cD_r = dwt(data.real, wavelet, mode, axis) cA_i, cD_i = dwt(data.imag, wavelet, mode, axis) return (cA_r + 1j*cA_i, cD_r + 1j*cD_i) # accept array_like input; make a copy to ensure a contiguous array dt = _check_dtype(data) data = np.array(data, dtype=dt) mode = Modes.from_object(mode) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) if axis < 0: axis = axis + data.ndim if not 0 <= axis < data.ndim: raise ValueError("Axis greater than data dimensions") if data.ndim == 1: cA, cD = dwt_single(data, wavelet, mode) # TODO: Check whether this makes a copy cA, cD = np.asarray(cA, dt), np.asarray(cD, dt) else: cA, cD = dwt_axis(data, wavelet, mode, axis=axis) return (cA, cD) def idwt(cA, cD, wavelet, mode='symmetric', axis=-1): """ idwt(cA, cD, wavelet, mode='symmetric', axis=-1) Single level Inverse Discrete Wavelet Transform. Parameters ---------- cA : array_like or None Approximation coefficients. If None, will be set to array of zeros with same shape as `cD`. cD : array_like or None Detail coefficients. If None, will be set to array of zeros with same shape as `cA`. wavelet : Wavelet object or name Wavelet to use mode : str, optional (default: 'symmetric') Signal extension mode, see Modes axis: int, optional Axis over which to compute the inverse DWT. If not given, the last axis is used. Returns ------- rec: array_like Single level reconstruction of signal from given coefficients. """ # TODO: Lots of possible allocations to eliminate (zeros_like, asarray(rec)) # accept array_like input; make a copy to ensure a contiguous array if cA is None and cD is None: raise ValueError("At least one coefficient parameter must be " "specified.") # for complex inputs: compute real and imaginary separately then combine if np.iscomplexobj(cA) or np.iscomplexobj(cD): if cA is None: cD = np.asarray(cD) cA = np.zeros_like(cD) elif cD is None: cA = np.asarray(cA) cD = np.zeros_like(cA) return (idwt(cA.real, cD.real, wavelet, mode, axis) + 1j*idwt(cA.imag, cD.imag, wavelet, mode, axis)) if cA is not None: dt = _check_dtype(cA) cA = np.array(cA, dtype=dt) if cD is not None: dt = _check_dtype(cD) cD = np.array(cD, dtype=dt) if cA is not None and cD is not None: if cA.dtype != cD.dtype: # need to upcast to common type cA = cA.astype(np.float64) cD = cD.astype(np.float64) elif cA is None: cA = np.zeros_like(cD) elif cD is None: cD = np.zeros_like(cA) # cA and cD should be same dimension by here ndim = cA.ndim mode = Modes.from_object(mode) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) if axis < 0: axis = axis + ndim if not 0 <= axis < ndim: raise ValueError("Axis greater than coefficient dimensions") if ndim == 1: rec = idwt_single(cA, cD, wavelet, mode) else: rec = idwt_axis(cA, cD, wavelet, mode, axis=axis) return rec def downcoef(part, data, wavelet, mode='symmetric', level=1): """ downcoef(part, data, wavelet, mode='symmetric', level=1) Partial Discrete Wavelet Transform data decomposition. Similar to `pywt.dwt`, but computes only one set of coefficients. Useful when you need only approximation or only details at the given level. Parameters ---------- part : str Coefficients type: * 'a' - approximations reconstruction is performed * 'd' - details reconstruction is performed data : array_like Input signal. wavelet : Wavelet object or name Wavelet to use mode : str, optional Signal extension mode, see `Modes`. Default is 'symmetric'. level : int, optional Decomposition level. Default is 1. Returns ------- coeffs : ndarray 1-D array of coefficients. See Also -------- upcoef """ if np.iscomplexobj(data): return (downcoef(part, data.real, wavelet, mode, level) + 1j*downcoef(part, data.imag, wavelet, mode, level)) # accept array_like input; make a copy to ensure a contiguous array dt = _check_dtype(data) data = np.array(data, dtype=dt) if part not in 'ad': raise ValueError("Argument 1 must be 'a' or 'd', not '%s'." % part) mode = Modes.from_object(mode) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) return np.asarray(_downcoef(part == 'a', data, wavelet, mode, level)) def upcoef(part, coeffs, wavelet, level=1, take=0): """ upcoef(part, coeffs, wavelet, level=1, take=0) Direct reconstruction from coefficients. Parameters ---------- part : str Coefficients type: * 'a' - approximations reconstruction is performed * 'd' - details reconstruction is performed coeffs : array_like Coefficients array to recontruct wavelet : Wavelet object or name Wavelet to use level : int, optional Multilevel reconstruction level. Default is 1. take : int, optional Take central part of length equal to 'take' from the result. Default is 0. Returns ------- rec : ndarray 1-D array with reconstructed data from coefficients. See Also -------- downcoef Examples -------- >>> import pywt >>> data = [1,2,3,4,5,6] >>> (cA, cD) = pywt.dwt(data, 'db2', 'smooth') >>> pywt.upcoef('a', cA, 'db2') + pywt.upcoef('d', cD, 'db2') array([-0.25 , -0.4330127 , 1. , 2. , 3. , 4. , 5. , 6. , 1.78589838, -1.03108891]) >>> n = len(data) >>> pywt.upcoef('a', cA, 'db2', take=n) + pywt.upcoef('d', cD, 'db2', take=n) array([ 1., 2., 3., 4., 5., 6.]) """ if np.iscomplexobj(coeffs): return (upcoef(part, coeffs.real, wavelet, level, take) + 1j*upcoef(part, coeffs.imag, wavelet, level, take)) # accept array_like input; make a copy to ensure a contiguous array dt = _check_dtype(coeffs) coeffs = np.array(coeffs, dtype=dt) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) if part not in 'ad': raise ValueError("Argument 1 must be 'a' or 'd', not '%s'." % part) return np.asarray(_upcoef(part == 'a', coeffs, wavelet, level, take)) PyWavelets-0.5.1/pywt/_extensions/0000755€>SK[€>P0000000000013017376010021115 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/pywt/_extensions/c/0000755€>SK[€>P0000000000013017376010021337 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/pywt/_extensions/c/common.c0000755€>SK[€>P0000000542113017375740023011 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ #include "common.h" #include // for U*_MAX // MSVC <= 2008 does not have stdint.h, but defines SIZE_MAX in limits.h #if (!defined(_MSC_VER)) || (_MSC_VER > 1500) #include // for SIZE_MAX #endif /* _MSC_VER */ #ifdef PY_EXTENSION void *wtcalloc(size_t len, size_t size){ void *p = wtmalloc(len*size); if(p) memset(p, 0, len*size); return p; } #endif /* Returns the floor of the base-2 log of it's input * * Undefined for x = 0 */ unsigned char size_log2(size_t x){ #if defined(_MSC_VER) unsigned long i; #if SIZE_MAX == 0xFFFFFFFF _BitScanReverse(&i, x); #elif SIZE_MAX == 0xFFFFFFFFFFFFFFFF _BitScanReverse64(&i, x); #else #error "Unrecognized SIZE_MAX" #endif /* SIZE_MAX */ return i; #else // GCC and clang // Safe cast: 0 <= clzl < arch_bits (64) where result is defined #if SIZE_MAX == UINT_MAX unsigned char leading_zeros = (unsigned char) __builtin_clz(x); #elif SIZE_MAX == ULONG_MAX unsigned char leading_zeros = (unsigned char) __builtin_clzl(x); #elif SIZE_MAX == ULLONG_MAX unsigned char leading_zeros = (unsigned char) __builtin_clzll(x); #else #error "Unrecognized SIZE_MAX" #endif /* SIZE_MAX */ return sizeof(size_t) * 8 - leading_zeros - 1; #endif /* _MSC_VER */ } /* buffers and max levels params */ size_t dwt_buffer_length(size_t input_len, size_t filter_len, MODE mode){ if(input_len < 1 || filter_len < 1) return 0; switch(mode){ case MODE_PERIODIZATION: return input_len / 2 + ((input_len%2) ? 1 : 0); default: return (input_len + filter_len - 1) / 2; } } size_t reconstruction_buffer_length(size_t coeffs_len, size_t filter_len){ if(coeffs_len < 1 || filter_len < 1) return 0; return 2*coeffs_len+filter_len-2; } size_t idwt_buffer_length(size_t coeffs_len, size_t filter_len, MODE mode){ switch(mode){ case MODE_PERIODIZATION: return 2*coeffs_len; default: return 2*coeffs_len-filter_len+2; } } size_t swt_buffer_length(size_t input_len){ return input_len; } unsigned char dwt_max_level(size_t input_len, size_t filter_len){ if(filter_len <= 1 || input_len < (filter_len-1)) return 0; return size_log2(input_len/(filter_len-1)); } unsigned char swt_max_level(size_t input_len){ /* check how many times input_len is divisible by 2 */ unsigned char j = 0; while (input_len > 0){ if (input_len % 2) return j; input_len /= 2; j++; } return j; } PyWavelets-0.5.1/pywt/_extensions/c/common.h0000755€>SK[€>P0000000712113017375740023015 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ /* Common constants, typedefs and functions */ #pragma once #include #include /* ##### Typedefs ##### */ #ifdef PY_EXTENSION /* another declaration is in .c file generated by Pyrex */ #ifndef PY_SSIZE_T_CLEAN #define PY_SSIZE_T_CLEAN #include "Python.h" #include "structmember.h" #ifndef PY_LONG_LONG #define PY_LONG_LONG LONG_LONG #endif #else #include "Python.h" #endif /* on Solaris/SmartOS system, index_t is used in sys/types.h, so use pytw_index_t */ typedef Py_ssize_t pywt_index_t; /* using Python's memory manager */ #define wtmalloc(size) PyMem_Malloc(size) #define wtfree(ptr) PyMem_Free(ptr) void *wtcalloc(size_t, size_t); #else typedef int pywt_index_t; /* standard c memory management */ #define wtmalloc(size) malloc(size) #define wtfree(ptr) free(ptr) #define wtcalloc(len, size) calloc(len, size) #endif #ifdef _MSC_VER #include #endif typedef struct { size_t * shape; pywt_index_t * strides; size_t ndim; } ArrayInfo; typedef enum { COEF_APPROX = 0, COEF_DETAIL = 1, } Coefficient; typedef enum { DWT_TRANSFORM = 0, SWT_TRANSFORM = 1, } DiscreteTransformType; /* Signal extension modes */ typedef enum { MODE_INVALID = -1, MODE_ZEROPAD = 0, /* default, signal extended with zeros */ MODE_SYMMETRIC, /* signal extended symmetrically (mirror) * For extensions greater than signal length, * mirror back and forth: * 2 3 3 2 1 | 1 2 3 | 3 2 1 1 2 */ MODE_CONSTANT_EDGE, /* signal extended with the border value */ MODE_SMOOTH, /* linear extrapolation (first derivative) */ MODE_PERIODIC, /* signal is treated as being periodic */ MODE_PERIODIZATION, /* signal is treated as being periodic, minimal output length */ MODE_REFLECT, /* signal extended symmetrically (reflect) * For extensions greater than signal length, * reflect back and forth without repeating edge values: * 1 2 3 2 | 1 2 3 | 2 1 2 3 */ MODE_MAX, } MODE; /* ##### Calculating buffer lengths for various operations ##### */ /* * Length of DWT coeffs for specified input data length, filter length and * signal extension mode. */ size_t dwt_buffer_length(size_t input_len, size_t filter_len, MODE mode); /* * Length of reconstructed signal for specified input coeffs length and filter * length. It is used for direct reconstruction from coefficients (normal * convolution of upsampled coeffs with filter). */ size_t reconstruction_buffer_length(size_t coeffs_len, size_t filter_len); /* * Length of IDWT reconstructed signal for specified input coeffs length, filter * length and extension mode. */ size_t idwt_buffer_length(size_t coeffs_len, size_t filter_len, MODE mode); /* Length of SWT coefficients for specified input signal length (== input_len) */ size_t swt_buffer_length(size_t input_len); /* Maximum useful level of DWT decomposition. */ unsigned char dwt_max_level(size_t input_len, size_t filter_len); /* Maximum useful level of SWT decomposition. */ unsigned char swt_max_level(size_t input_len); PyWavelets-0.5.1/pywt/_extensions/c/convolution.c0000755€>SK[€>P0000000035413017375740024100 0ustar lee8rxdomain^users00000000000000#include "convolution.h" #ifdef TYPE #error TYPE should not be defined here. #else #define TYPE float #include "convolution.template.c" #undef TYPE #define TYPE double #include "convolution.template.c" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/convolution.h0000755€>SK[€>P0000000036513017375740024107 0ustar lee8rxdomain^users00000000000000#pragma once #include "common.h" #ifdef TYPE #error TYPE should not be defined here. #else #define TYPE float #include "convolution.template.h" #undef TYPE #define TYPE double #include "convolution.template.h" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/convolution.template.c0000755€>SK[€>P0000004323213017375740025714 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ #include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else #include "convolution.h" #if defined _MSC_VER #define restrict __restrict #elif defined __GNUC__ #define restrict __restrict__ #endif /* This file contains several functions for computing the convolution of a * signal with a filter. The general scheme is: * output[o] = sum(filter[j] * input[i-j] for j = [0..F) and i = [0..N)) * where 'o', 'i' and 'j' may progress at different rates. * * Most of the code deals with different edge extension modes. Values are * computed on-demand, in four steps: * 1. Filter extends past signal on the left. * 2. Filter completely contained within signal (no extension). * 3. Filter extends past signal on both sides (only if F > N). * 4. Filter extends past signal on the right. * * MODE_PERIODIZATION produces different output lengths to other modes, so is * implemented as a separate function for each case. * * See 'common.h' for descriptions of the extension modes. */ int CAT(TYPE, _downsampling_convolution_periodization)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t step, const size_t fstep) { size_t i = F/2, o = 0; const size_t padding = (step - (N % step)) % step; for (; i < F && i < N; i += step, ++o) { TYPE sum = 0; size_t j; size_t k_start = 0; for (j = 0; j <= i; j += fstep) sum += filter[j] * input[i-j]; if (fstep > 1) k_start = j - (i + 1); while (j < F){ size_t k; for (k = k_start; k < padding && j < F; k += fstep, j += fstep) sum += filter[j] * input[N-1]; for (k = k_start; k < N && j < F; k += fstep, j += fstep) sum += filter[j] * input[N-1-k]; } output[o] = sum; } for(; i < N; i+=step, ++o){ TYPE sum = 0; size_t j; for(j = 0; j < F; j += fstep) sum += input[i-j]*filter[j]; output[o] = sum; } for (; i < F && i < N + F/2; i += step, ++o) { TYPE sum = 0; size_t j = 0; size_t k_start = 0; while (i-j >= N){ size_t k; // for simplicity, not using fstep here for (k = 0; k < padding && i-j >= N; ++k, ++j) sum += filter[i-N-j] * input[N-1]; for (k = 0; k < N && i-j >= N; ++k, ++j) sum += filter[i-N-j] * input[k]; } if (fstep > 1) j += (fstep - j % fstep) % fstep; // move to next non-zero entry for (; j <= i; j += fstep) sum += filter[j] * input[i-j]; if (fstep > 1) k_start = j - (i + 1); while (j < F){ size_t k; for (k = k_start; k < padding && j < F; k += fstep, j += fstep) sum += filter[j] * input[N-1]; for (k = k_start; k < N && j < F; k += fstep, j += fstep) sum += filter[j] * input[N-1-k]; } output[o] = sum; } for(; i < N + F/2; i += step, ++o){ TYPE sum = 0; size_t j = 0; while (i-j >= N){ // for simplicity, not using fstep here size_t k; for (k = 0; k < padding && i-j >= N; ++k, ++j) sum += filter[i-N-j] * input[N-1]; for (k = 0; k < N && i-j >= N; ++k, ++j) sum += filter[i-N-j] * input[k]; } if (fstep > 1) j += (fstep - j % fstep) % fstep; // move to next non-zero entry for (; j < F; j += fstep) sum += filter[j] * input[i-j]; output[o] = sum; } return 0; } int CAT(TYPE, _downsampling_convolution)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t step, MODE mode) { /* This convolution performs efficient downsampling by computing every * step'th element of normal convolution (currently tested only for step=1 * and step=2). */ size_t i = step - 1, o = 0; if(mode == MODE_PERIODIZATION) return CAT(TYPE, _downsampling_convolution_periodization)(input, N, filter, F, output, step, 1); if (mode == MODE_SMOOTH && N < 2) mode = MODE_CONSTANT_EDGE; // left boundary overhang for(; i < F && i < N; i+=step, ++o){ TYPE sum = 0; size_t j; for(j = 0; j <= i; ++j) sum += filter[j]*input[i-j]; switch(mode) { case MODE_SYMMETRIC: while (j < F){ size_t k; for(k = 0; k < N && j < F; ++j, ++k) sum += filter[j]*input[k]; for(k = 0; k < N && j < F; ++k, ++j) sum += filter[j] * input[N-1-k]; } break; case MODE_REFLECT: while (j < F){ size_t k; for(k = 1; k < N && j < F; ++j, ++k) sum += filter[j]*input[k]; for(k = 1; k < N && j < F; ++k, ++j) sum += filter[j] * input[N-1-k]; } break; case MODE_CONSTANT_EDGE: for(; j < F; ++j) sum += filter[j]*input[0]; break; case MODE_SMOOTH:{ size_t k; for(k = 1; j < F; ++j, ++k) sum += filter[j]*(input[0] + k * (input[0] - input[1])); break; } case MODE_PERIODIC: while (j < F){ size_t k; for(k = 0; k < N && j < F; ++k, ++j) sum += filter[j]*input[N-1-k]; } break; case MODE_ZEROPAD: default: break; } output[o] = sum; } // center (if input equal or wider than filter: N >= F) for(; i < N; i+=step, ++o){ TYPE sum = 0; size_t j; for(j = 0; j < F; ++j) sum += input[i-j]*filter[j]; output[o] = sum; } // center (if filter is wider than input: F > N) for(; i < F; i+=step, ++o){ TYPE sum = 0; size_t j = 0; switch(mode) { case MODE_SYMMETRIC: // Included from original: TODO: j < F-_offset /* Iterate over filter in reverse to process elements away from * data. This gives a known first input element to process (N-1) */ while (i - j >= N){ size_t k; for(k = 0; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[N-1-k]; for(k = 0; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[k]; } break; case MODE_REFLECT: while (i - j >= N){ size_t k; for(k = 1; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[N-1-k]; for(k = 1; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[k]; } break; case MODE_CONSTANT_EDGE: for(; i-j >= N; ++j) sum += filter[j]*input[N-1]; break; case MODE_SMOOTH:{ size_t k; for(k = i - N + 1; i-j >= N; ++j, --k) sum += filter[j]*(input[N-1] + k * (input[N-1] - input[N-2])); break; } case MODE_PERIODIC: while (i-j >= N){ size_t k; for (k = 0; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[k]; } break; case MODE_ZEROPAD: default: j = i - N + 1; break; } for(; j <= i; ++j) sum += filter[j]*input[i-j]; switch(mode) { case MODE_SYMMETRIC: while (j < F){ size_t k; for(k = 0; k < N && j < F; ++j, ++k) sum += filter[j]*input[k]; for(k = 0; k < N && j < F; ++k, ++j) sum += filter[j] * input[N-1-k]; } break; case MODE_REFLECT: while (j < F){ size_t k; for(k = 1; k < N && j < F; ++j, ++k) sum += filter[j]*input[k]; for(k = 1; k < N && j < F; ++k, ++j) sum += filter[j] * input[N-1-k]; } break; case MODE_CONSTANT_EDGE: for(; j < F; ++j) sum += filter[j]*input[0]; break; case MODE_SMOOTH:{ size_t k; for(k = 1; j < F; ++j, ++k) sum += filter[j]*(input[0] + k * (input[0] - input[1])); break; } case MODE_PERIODIC: while (j < F){ size_t k; for(k = 0; k < N && j < F; ++k, ++j) sum += filter[j]*input[N-1-k]; } break; case MODE_ZEROPAD: default: break; } output[o] = sum; } // right boundary overhang for(; i < N+F-1; i += step, ++o){ TYPE sum = 0; size_t j = 0; switch(mode) { case MODE_SYMMETRIC: // Included from original: TODO: j < F-_offset while (i - j >= N){ size_t k; for(k = 0; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[N-1-k]; for(k = 0; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[k]; } break; case MODE_REFLECT: while (i - j >= N){ size_t k; for(k = 1; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[N-1-k]; for(k = 1; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[k]; } break; case MODE_CONSTANT_EDGE: for(; i-j >= N; ++j) sum += filter[j]*input[N-1]; break; case MODE_SMOOTH:{ size_t k; for(k = i - N + 1; i-j >= N; ++j, --k) sum += filter[j]*(input[N-1] + k * (input[N-1] - input[N-2])); break; } case MODE_PERIODIC: while (i-j >= N){ size_t k; for (k = 0; k < N && i-j >= N; ++j, ++k) sum += filter[i-N-j]*input[k]; } break; case MODE_ZEROPAD: default: j = i - N + 1; break; } for(; j < F; ++j) sum += filter[j]*input[i-j]; output[o] = sum; } return 0; } int CAT(TYPE, _upsampling_convolution_full)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t O) { /* Performs a zero-padded convolution, using each input element for two * consecutive filter elements. This simulates an upsampled input. * * In contrast to downsampling_convolution, this adds to the output. This * allows multiple runs with different inputs and the same output to be used * for idwt. */ // If check omitted, this function would be a no-op for F<2 size_t i = 0, o = 0; if(F<2) return -1; if(F%2) return -3; for(; i < N && i < F/2; ++i, o += 2){ size_t j; for(j = 0; j <= i; ++j){ output[o] += filter[j*2] * input[i-j]; output[o+1] += filter[j*2+1] * input[i-j]; } } for(; i < N; ++i, o += 2){ size_t j; for(j = 0; j < F/2; ++j){ output[o] += filter[j*2] * input[i-j]; output[o+1] += filter[j*2+1] * input[i-j]; } } for(; i < F/2; ++i, o += 2){ size_t j; for(j = i-(N-1); j <= i; ++j){ output[o] += filter[j*2] * input[i-j]; output[o+1] += filter[j*2+1] * input[i-j]; } } for(; i < N+F/2; ++i, o += 2){ size_t j; for(j = i-(N-1); j < F/2; ++j){ output[o] += filter[j*2] * input[i-j]; output[o+1] += filter[j*2+1] * input[i-j]; } } return 0; } static int CAT(TYPE, _upsampling_convolution_valid_sf_periodization)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t O) { // TODO? Allow for non-2 step size_t const start = F/4; size_t i = start; size_t const end = N + start - (((F/2)%2) ? 0 : 1); size_t o = 0; if(F%2) return -3; /* Filter must have even-length. */ if ((F/2)%2 == 0){ // Shift output one element right. This is necessary for perfect reconstruction. // i = N-1; even element goes to output[O-1], odd element goes to output[0] size_t j = 0; while(j <= start-1){ size_t k; for (k = 0; k < N && j <= start-1; ++k, ++j){ output[2*N-1] += filter[2*(start-1-j)] * input[k]; output[0] += filter[2*(start-1-j)+1] * input[k]; } } for (; j <= N+start-1 && j < F/2; ++j){ output[2*N-1] += filter[2*j] * input[N+start-1-j]; output[0] += filter[2*j+1] * input[N+start-1-j]; } while (j < F / 2){ size_t k; for (k = 0; k < N && j < F/2; ++k, ++j){ output[2*N-1] += filter[2*j] * input[N-1-k]; output[0] += filter[2*j+1] * input[N-1-k]; } } o += 1; } for (; i < F/2 && i < N; ++i, o += 2){ size_t j = 0; for(; j <= i; ++j){ output[o] += filter[2*j] * input[i-j]; output[o+1] += filter[2*j+1] * input[i-j]; } while (j < F/2){ size_t k; for(k = 0; k < N && j < F/2; ++k, ++j){ output[o] += filter[2*j] * input[N-1-k]; output[o+1] += filter[2*j+1] * input[N-1-k]; } } } for (; i < N; ++i, o += 2){ size_t j; for(j = 0; j < F/2; ++j){ output[o] += filter[2*j] * input[i-j]; output[o+1] += filter[2*j+1] * input[i-j]; } } for (; i < F/2 && i < end; ++i, o += 2){ size_t j = 0; while(i-j >= N){ size_t k; for (k = 0; k < N && i-j >= N; ++k, ++j){ output[o] += filter[2*(i-N-j)] * input[k]; output[o+1] += filter[2*(i-N-j)+1] * input[k]; } } for (; j <= i && j < F/2; ++j){ output[o] += filter[2*j] * input[i-j]; output[o+1] += filter[2*j+1] * input[i-j]; } while (j < F / 2){ size_t k; for (k = 0; k < N && j < F/2; ++k, ++j){ output[o] += filter[2*j] * input[N-1-k]; output[o+1] += filter[2*j+1] * input[N-1-k]; } } } for (; i < end; ++i, o += 2){ size_t j = 0; while(i-j >= N){ size_t k; for (k = 0; k < N && i-j >= N; ++k, ++j){ output[o] += filter[2*(i-N-j)] * input[k]; output[o+1] += filter[2*(i-N-j)+1] * input[k]; } } for (; j <= i && j < F/2; ++j){ output[o] += filter[2*j] * input[i-j]; output[o+1] += filter[2*j+1] * input[i-j]; } } return 0; } /* * performs IDWT for all modes * * The upsampling is performed by splitting filters to even and odd elements * and performing 2 convolutions. After refactoring the PERIODIZATION mode * case to separate function this looks much clearer now. */ int CAT(TYPE, _upsampling_convolution_valid_sf)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t O, MODE mode) { // TODO: Allow non-2 step? if(mode == MODE_PERIODIZATION) return CAT(TYPE, _upsampling_convolution_valid_sf_periodization)(input, N, filter, F, output, O); if((F%2) || (N < F/2)) return -1; // Perform only stage 2 - all elements in the filter overlap an input element. { size_t o, i; for(o = 0, i = F/2 - 1; i < N; ++i, o += 2){ TYPE sum_even = 0; TYPE sum_odd = 0; size_t j; for(j = 0; j < F/2; ++j){ sum_even += filter[j*2] * input[i-j]; sum_odd += filter[j*2+1] * input[i-j]; } output[o] += sum_even; output[o+1] += sum_odd; } } return 0; } /* -> swt - todo */ int CAT(TYPE, _upsampled_filter_convolution)(const TYPE* input, const size_t N, const TYPE* filter, const size_t F, TYPE* output, const size_t step, MODE mode) { return -1; } #undef restrict #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/convolution.template.h0000755€>SK[€>P0000000620713017375740025722 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ #include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else #include "common.h" #if defined _MSC_VER #define restrict __restrict #elif defined __GNUC__ #define restrict __restrict__ #endif /* Performs convolution of input with filter and downsamples by taking every * step-th element from the result. * * input - input data * N - input data length * filter - filter data * F - filter data length * output - output data * step - decimation step * mode - signal extension mode */ /* memory efficient version */ int CAT(TYPE, _downsampling_convolution)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t step, MODE mode); /* downsampling convolution routine specific to periodization mode. * * input - input data * N - input data length * filter - filter data * F - filter data length * output - output data * step - decimation step * fstep - step size between non-zero entries in filter * (used to improve performance for the multilevel swt) */ int CAT(TYPE, _downsampling_convolution_periodization)( const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t step, const size_t fstep); /* * Performs normal (full) convolution of "upsampled" input coeffs array with * filter Requires zero-filled output buffer (adds values instead of * overwriting - can be called many times with the same output). * * input - input data * N - input data length * filter - filter data * F - filter data length * output - output data * O - output lenght (currently not used) * mode - signal extension mode */ int CAT(TYPE, _upsampling_convolution_full)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t O); /* Performs valid convolution (signals must overlap) * Extends (virtually) input for MODE_PERIODIZATION. */ int CAT(TYPE, _upsampling_convolution_valid_sf)(const TYPE * const restrict input, const size_t N, const TYPE * const restrict filter, const size_t F, TYPE * const restrict output, const size_t O, MODE mode); /* TODO * for SWT * int upsampled_filter_convolution(const TYPE* input, const int N, * const TYPE* filter, const int F, * TYPE* output, int step, int mode); */ #undef restrict #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/cwt.c0000755€>SK[€>P0000000032513017375740022314 0ustar lee8rxdomain^users00000000000000#include "cwt.h" #ifdef TYPE #error TYPE should not be defined here. #else #define TYPE float #include "cwt.template.c" #undef TYPE #define TYPE double #include "cwt.template.c" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/cwt.h0000755€>SK[€>P0000000042613017375740022323 0ustar lee8rxdomain^users00000000000000#pragma once #include "common.h" #include "convolution.h" #include "wavelets.h" #ifdef TYPE #error TYPE should not be defined here. #else #define TYPE float #include "cwt.template.h" #undef TYPE #define TYPE double #include "cwt.template.h" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/cwt.template.c0000755€>SK[€>P0000003333213017375740024132 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2016 Holger Nahrstaedt */ /* See COPYING for license details. */ #include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else #include "cwt.h" #include "convolution.h" #if defined _MSC_VER #define restrict __restrict #elif defined __GNUC__ #define restrict __restrict__ #endif #define _USE_MATH_DEFINES #include "math.h" TYPE CAT(TYPE, _pow)(const TYPE x, const TYPE y) { if (sizeof(TYPE) == sizeof(double)) return pow(x,y); else return powf(x,y); } TYPE CAT(TYPE, _sqrt)(const TYPE x) { if (sizeof(TYPE) == sizeof(double)) return sqrt(x); else return sqrtf(x); } TYPE CAT(TYPE, _exp)(const TYPE x) { if (sizeof(TYPE) == sizeof(double)) return exp(x); else return expf(x); } TYPE CAT(TYPE, _cos)(const TYPE x) { if (sizeof(TYPE) == sizeof(double)) return cos(x); else return cosf(x); } TYPE CAT(TYPE, _sin)(const TYPE x) { if (sizeof(TYPE) == sizeof(double)) return sin(x); else return sinf(x); } TYPE CAT(TYPE, _pi)() { if (sizeof(TYPE) == sizeof(double)) return M_PI; else return (TYPE)M_PI; } void CAT(TYPE, _gaus)(const TYPE * const restrict input, TYPE * const restrict output, const size_t N, const size_t number){ size_t i = 0; for (i = 0; i < N; i++) { switch (number) { case 1: output[i] = -2*input[i]*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 2: output[i] = -2*(2*CAT(TYPE, _pow)(input[i], 2.0)-1)*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(3*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 3: output[i] = -4*(-2*CAT(TYPE, _pow)(input[i], 3.0)+3*input[i])*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(15*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 4: output[i] = 4*(-12*CAT(TYPE, _pow)(input[i], 2.0)+4*CAT(TYPE, _pow)(input[i], 4.0)+3)*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(105*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 5: output[i] = 8*(-4*CAT(TYPE, _pow)(input[i], 5.0)+20*CAT(TYPE, _pow)(input[i], 3.0)-15*input[i])*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(105*9*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 6: output[i] = -8*(8*CAT(TYPE, _pow)(input[i], 6.0)-60*CAT(TYPE, _pow)(input[i], 4.0)+90*CAT(TYPE, _pow)(input[i], 2.0)-15)*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(105*9*11*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 7: output[i] = -16*(-8*CAT(TYPE, _pow)(input[i], 7.0)+84*CAT(TYPE, _pow)(input[i], 5.0)-210*CAT(TYPE, _pow)(input[i], 3.0)+105*(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(105*9*11*13*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 8: output[i] = 16*(16*CAT(TYPE, _pow)(input[i], 8.0)-224*CAT(TYPE, _pow)(input[i], 6.0)+840*CAT(TYPE, _pow)(input[i], 4.0)-840*CAT(TYPE, _pow)(input[i], 2.0)+105)*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(105*9*11*13*15*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; } } } void CAT(TYPE, _mexh)(const TYPE * const restrict input, TYPE * const restrict output, const size_t N) { size_t i = 0; for (i = 0; i < N; i++) { output[i] = (1-CAT(TYPE, _pow)(input[i], 2.0))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0)/2)*2/(CAT(TYPE, _sqrt)(3)*CAT(TYPE, _sqrt)(CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()))); } } void CAT(TYPE, _morl)(const TYPE * const restrict input, TYPE * const restrict output, const size_t N) { size_t i = 0; for (i = 0; i < N; i++) { output[i] = CAT(TYPE, _cos)(5*input[i])*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0)/2); } } void CAT(TYPE, _cgau)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const size_t number){ size_t i = 0; for (i = 0; i < N; i++) { switch (number) { case 1: output_r[i] = (-2*input[i]*CAT(TYPE, _cos)(input[i])-CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(2*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (2*input[i]*CAT(TYPE, _sin)(input[i])-CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(2*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 2: output_r[i] = (4*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])+4*input[i]*CAT(TYPE, _sin)(input[i])-3*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(10*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (-4*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])+4*input[i]*CAT(TYPE, _cos)(input[i])+3*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(10*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 3: output_r[i] = (-8*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _cos)(input[i])-12*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])+18*input[i]*CAT(TYPE, _cos)(input[i])+7*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(76*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (8*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _sin)(input[i])-12*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])-18*input[i]*CAT(TYPE, _sin)(input[i])+7*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(76*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 4: output_r[i] = (16*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _cos)(input[i])+32*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _sin)(input[i])-72*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])-56*input[i]*CAT(TYPE, _sin)(input[i])+25*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(764*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2));; output_i[i] = (-16*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _sin)(input[i])+32*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _cos)(input[i])+72*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])-56*input[i]*CAT(TYPE, _cos)(input[i])-25*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(764*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 5: output_r[i] = (-32*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _cos)(input[i])-80*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _sin)(input[i])+240*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _cos)(input[i])+280*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])-250*input[i]*CAT(TYPE, _cos)(input[i])-81*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(9496*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (32*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _sin)(input[i])-80*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _cos)(input[i])-240*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _sin)(input[i])+280*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])+250*input[i]*CAT(TYPE, _sin)(input[i])-81*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(9496*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 6: output_r[i] = (64*CAT(TYPE, _pow)(input[i], 6.0)*CAT(TYPE, _cos)(input[i])+192*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _sin)(input[i])-720*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _cos)(input[i])-1120*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _sin)(input[i])+1500*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])+972*input[i]*CAT(TYPE, _sin)(input[i])-331*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(140152*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (-64*CAT(TYPE, _pow)(input[i], 6.0)*CAT(TYPE, _sin)(input[i])+192*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _cos)(input[i])+720*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _sin)(input[i])-1120*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _cos)(input[i])-1500*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])+972*input[i]*CAT(TYPE, _cos)(input[i])+331*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(140152*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 7: output_r[i] = (-128*CAT(TYPE, _pow)(input[i], 7.0)*CAT(TYPE, _cos)(input[i])-448*CAT(TYPE, _pow)(input[i], 6.0)*CAT(TYPE, _sin)(input[i])+2016*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _cos)(input[i])+3920*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _sin)(input[i])-7000*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _cos)(input[i])-6804*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])+4634*input[i]*CAT(TYPE, _cos)(input[i])+1303*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(2390480*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (128*CAT(TYPE, _pow)(input[i], 7.0)*CAT(TYPE, _sin)(input[i])-448*CAT(TYPE, _pow)(input[i], 6.0)*CAT(TYPE, _cos)(input[i])-2016*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _sin)(input[i])+3920*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _cos)(input[i])+7000*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _sin)(input[i])-6804*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])-4634*input[i]*CAT(TYPE, _sin)(input[i])+1303*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(2390480*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; case 8: output_r[i] = (256*CAT(TYPE, _pow)(input[i], 8.0)*CAT(TYPE, _cos)(input[i])+1024*CAT(TYPE, _pow)(input[i], 7.0)*CAT(TYPE, _sin)(input[i])-5376*CAT(TYPE, _pow)(input[i], 6.0)*CAT(TYPE, _cos)(input[i])-12544*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _sin)(input[i])+28000*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _cos)(input[i])+36288*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _sin)(input[i])-37072*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _cos)(input[i])-20848*input[i]*CAT(TYPE, _sin)(input[i])+5937*CAT(TYPE, _cos)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(46206736*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); output_i[i] = (-256*CAT(TYPE, _pow)(input[i], 8.0)*CAT(TYPE, _sin)(input[i])+1024*CAT(TYPE, _pow)(input[i], 7.0)*CAT(TYPE, _cos)(input[i])+5376*CAT(TYPE, _pow)(input[i], 6.0)*CAT(TYPE, _sin)(input[i])-12544*CAT(TYPE, _pow)(input[i], 5.0)*CAT(TYPE, _cos)(input[i])-28000*CAT(TYPE, _pow)(input[i], 4.0)*CAT(TYPE, _sin)(input[i])+36288*CAT(TYPE, _pow)(input[i], 3.0)*CAT(TYPE, _cos)(input[i])+37072*CAT(TYPE, _pow)(input[i], 2.0)*CAT(TYPE, _sin)(input[i])-20848*input[i]*CAT(TYPE, _cos)(input[i])-5937*CAT(TYPE, _sin)(input[i]))*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0))/CAT(TYPE, _sqrt)(46206736*CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()/2)); break; } } } void CAT(TYPE, _shan)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const TYPE FB, const TYPE FC) { size_t i = 0; for (i = 0; i < N; i++) { output_r[i] =CAT(TYPE, _cos)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _sqrt)(FB); output_i[i] = CAT(TYPE, _sin)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _sqrt)(FB); if (input[i] != 0) { output_r[i] *= CAT(TYPE, _sin)(input[i]*FB*CAT(TYPE, _pi)())/(input[i]*FB*CAT(TYPE, _pi)()); output_i[i] *= CAT(TYPE, _sin)(input[i]*FB*CAT(TYPE, _pi)())/(input[i]*FB*CAT(TYPE, _pi)()); } } } void CAT(TYPE, _fbsp)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const unsigned int M, const TYPE FB, const TYPE FC) { size_t i = 0; for (i = 0; i < N; i++) { if (input[i] != 0) { output_r[i] = CAT(TYPE, _cos)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _sqrt)(FB)*CAT(TYPE, _pow)(CAT(TYPE, _sin)(CAT(TYPE, _pi)()*input[i]*FB/(TYPE)M)/(CAT(TYPE, _pi)()*input[i]*FB/(TYPE)M),(TYPE)M); output_i[i] = CAT(TYPE, _sin)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _sqrt)(FB)*CAT(TYPE, _pow)(CAT(TYPE, _sin)(CAT(TYPE, _pi)()*input[i]*FB/(TYPE)M)/(CAT(TYPE, _pi)()*input[i]*FB/(TYPE)M),(TYPE)M); } else { output_r[i] = CAT(TYPE, _cos)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _sqrt)(FB); output_i[i] = CAT(TYPE, _sin)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _sqrt)(FB); } } } void CAT(TYPE, _cmor)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const TYPE FB, const TYPE FC) { size_t i = 0; for (i = 0; i < N; i++) { output_r[i] =CAT(TYPE, _cos)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0)/FB)/CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()*FB); output_i[i] = CAT(TYPE, _sin)(2*CAT(TYPE, _pi)()*FC*input[i])*CAT(TYPE, _exp)(-CAT(TYPE, _pow)(input[i], 2.0)/FB)/CAT(TYPE, _sqrt)(CAT(TYPE, _pi)()*FB); } } #endif /* TYPE */ #undef restrict PyWavelets-0.5.1/pywt/_extensions/c/cwt.template.h0000755€>SK[€>P0000000304013017375740024130 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2016 Holger Nahrstaedt */ /* See COPYING for license details. */ #include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else #include "cwt.h" #if defined _MSC_VER #define restrict __restrict #elif defined __GNUC__ #define restrict __restrict__ #endif void CAT(TYPE, _gaus)(const TYPE * const restrict input, TYPE * const restrict output, const size_t N, const size_t number); void CAT(TYPE, _mexh)(const TYPE * const restrict input, TYPE * const restrict output, const size_t N); void CAT(TYPE, _morl)(const TYPE * const restrict input, TYPE * const restrict output, const size_t N); void CAT(TYPE, _cgau)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const size_t number); void CAT(TYPE, _shan)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const TYPE FB, const TYPE FC); void CAT(TYPE, _fbsp)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const unsigned int M, const TYPE FB, const TYPE FC); void CAT(TYPE, _cmor)(const TYPE * const restrict input, TYPE * const restrict output_r, TYPE * const restrict output_i, const size_t N, const TYPE FB, const TYPE FC); #endif /* TYPE */ #undef restrict PyWavelets-0.5.1/pywt/_extensions/c/templating.h0000755€>SK[€>P0000000011713017375740023667 0ustar lee8rxdomain^users00000000000000#pragma once #define CAT_HELPER(A, B) A##B #define CAT(A, B) CAT_HELPER(A, B) PyWavelets-0.5.1/pywt/_extensions/c/wavelets.c0000755€>SK[€>P0000005416313017375740023362 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ /* Allocating, setting properties and destroying wavelet structs */ #include "wavelets.h" #include "wavelets_coeffs.h" #define SWAP(t, x, y) {t tmp = x; x = y; y = tmp;} #define NELEMS(x) (sizeof(x) / sizeof(*x)) int is_discrete_wavelet(WAVELET_NAME name) { switch(name){ case HAAR: return 1; case RBIO: return 1; case DB: return 1; case SYM: return 1; case COIF: return 1; case BIOR: return 1; case DMEY: return 1; case GAUS: return 0; case MEXH: return 0; case MORL: return 0; case CGAU: return 0; case SHAN: return 0; case FBSP: return 0; case CMOR: return 0; } } DiscreteWavelet* discrete_wavelet(WAVELET_NAME name, unsigned int order) { DiscreteWavelet *w; /* Haar wavelet */ if(name == HAAR){ /* the same as db1 */ w = discrete_wavelet(DB, 1); w->base.family_name = "Haar"; w->base.short_name = "haar"; return w; /* Reverse biorthogonal wavelets family */ } else if (name == RBIO) { /* rbio is like bior, only with switched filters */ w = discrete_wavelet(BIOR, order); if (w == NULL) return NULL; SWAP(size_t, w->dec_len, w->rec_len); SWAP(float*, w->rec_lo_float, w->dec_lo_float); SWAP(float*, w->rec_hi_float, w->dec_hi_float); SWAP(double*, w->rec_lo_double, w->dec_lo_double); SWAP(double*, w->rec_hi_double, w->dec_hi_double); { size_t i, j; for(i = 0, j = w->rec_len - 1; i < j; i++, j--){ SWAP(float, w->rec_lo_float[i], w->rec_lo_float[j]); SWAP(float, w->rec_hi_float[i], w->rec_hi_float[j]); SWAP(float, w->dec_lo_float[i], w->dec_lo_float[j]); SWAP(float, w->dec_hi_float[i], w->dec_hi_float[j]); SWAP(double, w->rec_lo_double[i], w->rec_lo_double[j]); SWAP(double, w->rec_hi_double[i], w->rec_hi_double[j]); SWAP(double, w->dec_lo_double[i], w->dec_lo_double[j]); SWAP(double, w->dec_hi_double[i], w->dec_hi_double[j]); } } w->base.family_name = "Reverse biorthogonal"; w->base.short_name = "rbio"; return w; } switch(name){ /* Daubechies wavelets family */ case DB: { size_t coeffs_idx = order - 1; if (coeffs_idx >= NELEMS(db_float) || coeffs_idx >= NELEMS(db_double)) return NULL; w = blank_discrete_wavelet(2 * order); if(w == NULL) return NULL; w->vanishing_moments_psi = order; w->vanishing_moments_phi = 0; w->base.support_width = 2*order - 1; w->base.orthogonal = 1; w->base.biorthogonal = 1; w->base.symmetry = ASYMMETRIC; w->base.compact_support = 1; w->base.family_name = "Daubechies"; w->base.short_name = "db"; { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_float[i] = db_float[coeffs_idx][i]; w->dec_lo_float[i] = db_float[coeffs_idx][w->dec_len-1-i]; w->rec_hi_float[i] = ((i % 2) ? -1 : 1) * db_float[coeffs_idx][w->dec_len-1-i]; w->dec_hi_float[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * db_float[coeffs_idx][i]; } } { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_double[i] = db_double[coeffs_idx][i]; w->dec_lo_double[i] = db_double[coeffs_idx][w->dec_len-1-i]; w->rec_hi_double[i] = ((i % 2) ? -1 : 1) * db_double[coeffs_idx][w->dec_len-1-i]; w->dec_hi_double[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * db_double[coeffs_idx][i]; } } break; } /* Symlets wavelets family */ case SYM: { size_t coeffs_idx = order - 2; if (coeffs_idx >= NELEMS(sym_float) || coeffs_idx >= NELEMS(sym_double)) return NULL; w = blank_discrete_wavelet(2 * order); if(w == NULL) return NULL; w->vanishing_moments_psi = order; w->vanishing_moments_phi = 0; w->base.support_width = 2*order - 1; w->base.orthogonal = 1; w->base.biorthogonal = 1; w->base.symmetry = NEAR_SYMMETRIC; w->base.compact_support = 1; w->base.family_name = "Symlets"; w->base.short_name = "sym"; { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_float[i] = sym_float[coeffs_idx][i]; w->dec_lo_float[i] = sym_float[coeffs_idx][w->dec_len-1-i]; w->rec_hi_float[i] = ((i % 2) ? -1 : 1) * sym_float[coeffs_idx][w->dec_len-1-i]; w->dec_hi_float[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * sym_float[coeffs_idx][i]; } } { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_double[i] = sym_double[coeffs_idx][i]; w->dec_lo_double[i] = sym_double[coeffs_idx][w->dec_len-1-i]; w->rec_hi_double[i] = ((i % 2) ? -1 : 1) * sym_double[coeffs_idx][w->dec_len-1-i]; w->dec_hi_double[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * sym_double[coeffs_idx][i]; } } break; } /* Coiflets wavelets family */ case COIF: { size_t coeffs_idx = order - 1; if (coeffs_idx >= NELEMS(coif_float) || coeffs_idx >= NELEMS(coif_double)) return NULL; w = blank_discrete_wavelet(6 * order); if(w == NULL) return NULL; w->vanishing_moments_psi = 2*order; w->vanishing_moments_phi = 2*order -1; w->base.support_width = 6*order - 1; w->base.orthogonal = 1; w->base.biorthogonal = 1; w->base.symmetry = NEAR_SYMMETRIC; w->base.compact_support = 1; w->base.family_name = "Coiflets"; w->base.short_name = "coif"; { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_float[i] = coif_float[coeffs_idx][i] * sqrt2_float; w->dec_lo_float[i] = coif_float[coeffs_idx][w->dec_len-1-i] * sqrt2_float; w->rec_hi_float[i] = ((i % 2) ? -1 : 1) * coif_float[coeffs_idx][w->dec_len-1-i] * sqrt2_float; w->dec_hi_float[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * coif_float[coeffs_idx][i] * sqrt2_float; } } { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_double[i] = coif_double[coeffs_idx][i] * sqrt2_double; w->dec_lo_double[i] = coif_double[coeffs_idx][w->dec_len-1-i] * sqrt2_double; w->rec_hi_double[i] = ((i % 2) ? -1 : 1) * coif_double[coeffs_idx][w->dec_len-1-i] * sqrt2_double; w->dec_hi_double[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * coif_double[coeffs_idx][i] * sqrt2_double; } } break; } /* Biorthogonal wavelets family */ case BIOR: { unsigned int N = order / 10, M = order % 10; size_t M_idx; size_t M_max; switch (N) { case 1: if (M % 2 != 1 || M > 5) return NULL; M_idx = M / 2; M_max = 5; break; case 2: if (M % 2 != 0 || M < 2 || M > 8) return NULL; M_idx = M / 2 - 1; M_max = 8; break; case 3: if (M % 2 != 1) return NULL; M_idx = M / 2; M_max = 9; break; case 4: case 5: if (M != N) return NULL; M_idx = 0; M_max = M; break; case 6: if (M != 8) return NULL; M_idx = 0; M_max = 8; break; default: return NULL; } w = blank_discrete_wavelet((N == 1) ? 2 * M : 2 * M + 2); if(w == NULL) return NULL; w->vanishing_moments_psi = order/10; w->vanishing_moments_phi = order % 10; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 1; w->base.symmetry = SYMMETRIC; w->base.compact_support = 1; w->base.family_name = "Biorthogonal"; w->base.short_name = "bior"; { size_t n = M_max - M; size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_float[i] = bior_float[N - 1][0][i+n]; w->dec_lo_float[i] = bior_float[N - 1][M_idx+1][w->dec_len-1-i]; w->rec_hi_float[i] = ((i % 2) ? -1 : 1) * bior_float[N - 1][M_idx+1][w->dec_len-1-i]; w->dec_hi_float[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * bior_float[N - 1][0][i+n]; } } { size_t n = M_max - M; size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_double[i] = bior_double[N - 1][0][i+n]; w->dec_lo_double[i] = bior_double[N - 1][M_idx+1][w->dec_len-1-i]; w->rec_hi_double[i] = ((i % 2) ? -1 : 1) * bior_double[N - 1][M_idx+1][w->dec_len-1-i]; w->dec_hi_double[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * bior_double[N - 1][0][i+n]; } } break; } /* Discrete FIR filter approximation of Meyer wavelet */ case DMEY: w = blank_discrete_wavelet(62); if(w == NULL) return NULL; w->vanishing_moments_psi = -1; w->vanishing_moments_phi = -1; w->base.support_width = -1; w->base.orthogonal = 1; w->base.biorthogonal = 1; w->base.symmetry = SYMMETRIC; w->base.compact_support = 1; w->base.family_name = "Discrete Meyer (FIR Approximation)"; w->base.short_name = "dmey"; { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_float[i] = dmey_float[i]; w->dec_lo_float[i] = dmey_float[w->dec_len-1-i]; w->rec_hi_float[i] = ((i % 2) ? -1 : 1) * dmey_float[w->dec_len-1-i]; w->dec_hi_float[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * dmey_float[i]; } } { size_t i; for(i = 0; i < w->rec_len; ++i){ w->rec_lo_double[i] = dmey_double[i]; w->dec_lo_double[i] = dmey_double[w->dec_len-1-i]; w->rec_hi_double[i] = ((i % 2) ? -1 : 1) * dmey_double[w->dec_len-1-i]; w->dec_hi_double[i] = (((w->dec_len-1-i) % 2) ? -1 : 1) * dmey_double[i]; } } break; default: return NULL; } return w; } ContinuousWavelet* continous_wavelet(WAVELET_NAME name, unsigned int order) { ContinuousWavelet *w; switch(name){ /* Gaussian Wavelets */ case GAUS: if (order > 8) return NULL; w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; if (order % 2 == 0) w->base.symmetry = SYMMETRIC; else w->base.symmetry = ANTI_SYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Gaussian"; w->base.short_name = "gaus"; w->complex_cwt = 0; w->lower_bound = -5; w->upper_bound = 5; w->center_frequency = 0; w->bandwidth_frequency = 0; w->fbsp_order = 0; break; case MEXH: w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; w->base.symmetry = SYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Mexican hat wavelet"; w->base.short_name = "mexh"; w->complex_cwt = 0; w->lower_bound = -8; w->upper_bound = 8; w->center_frequency = 0; w->bandwidth_frequency = 0; w->fbsp_order = 0; break; case MORL: w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; w->base.symmetry = SYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Morlet wavelet"; w->base.short_name = "morl"; w->complex_cwt = 0; w->lower_bound = -8; w->upper_bound = 8; w->center_frequency = 0; w->bandwidth_frequency = 0; w->fbsp_order = 0; break; case CGAU: if (order > 8) return NULL; w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; if (order % 2 == 0) w->base.symmetry = SYMMETRIC; else w->base.symmetry = ANTI_SYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Complex Gaussian wavelets"; w->base.short_name = "cgau"; w->complex_cwt = 1; w->lower_bound = -5; w->upper_bound = 5; w->center_frequency = 0; w->bandwidth_frequency = 0; w->fbsp_order = 0; break; case SHAN: w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; w->base.symmetry = ASYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Shannon wavelets"; w->base.short_name = "shan"; w->complex_cwt = 1; w->lower_bound = -20; w->upper_bound = 20; w->center_frequency = 1; w->bandwidth_frequency = 0.5; w->fbsp_order = 0; break; case FBSP: w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; w->base.symmetry = ASYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Frequency B-Spline wavelets"; w->base.short_name = "fbsp"; w->complex_cwt = 1; w->lower_bound = -20; w->upper_bound = 20; w->center_frequency = 0.5; w->bandwidth_frequency = 1; w->fbsp_order = 2; break; case CMOR: w = blank_continous_wavelet(); if(w == NULL) return NULL; w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; w->base.symmetry = ASYMMETRIC; w->base.compact_support = 0; w->base.family_name = "Complex Morlet wavelets"; w->base.short_name = "cmor"; w->complex_cwt = 1; w->lower_bound = -8; w->upper_bound = 8; w->center_frequency = 0.5; w->bandwidth_frequency = 1; w->fbsp_order = 0; break; default: return NULL; } return w; } DiscreteWavelet* blank_discrete_wavelet(size_t filters_length) { DiscreteWavelet* w; /* pad to even length */ if(filters_length > 0 && filters_length % 2) ++filters_length; w = wtmalloc(sizeof(DiscreteWavelet)); if(w == NULL) return NULL; w->dec_len = w->rec_len = filters_length; if (filters_length > 0) { w->dec_lo_float = wtcalloc(filters_length, sizeof(float)); w->dec_hi_float = wtcalloc(filters_length, sizeof(float)); w->rec_lo_float = wtcalloc(filters_length, sizeof(float)); w->rec_hi_float = wtcalloc(filters_length, sizeof(float)); w->dec_lo_double = wtcalloc(filters_length, sizeof(double)); w->dec_hi_double = wtcalloc(filters_length, sizeof(double)); w->rec_lo_double = wtcalloc(filters_length, sizeof(double)); w->rec_hi_double = wtcalloc(filters_length, sizeof(double)); if(w->dec_lo_float == NULL || w->dec_hi_float == NULL || w->rec_lo_float == NULL || w->rec_hi_float == NULL || w->dec_lo_double == NULL || w->dec_hi_double == NULL || w->rec_lo_double == NULL || w->rec_hi_double == NULL){ free_discrete_wavelet(w); return NULL; } } else { w->dec_lo_float = NULL; w->dec_hi_float = NULL; w->rec_lo_float = NULL; w->rec_hi_float = NULL; w->dec_lo_double = NULL; w->dec_hi_double = NULL; w->rec_lo_double = NULL; w->rec_hi_double = NULL; } /* set w->base properties to "blank" values */ w->base.support_width = -1; w->base.orthogonal = 0; w->base.biorthogonal = 0; w->base.symmetry = UNKNOWN; w->base.compact_support = 0; w->base.family_name = ""; w->base.short_name = ""; w->vanishing_moments_psi = 0; w->vanishing_moments_phi = 0; return w; } ContinuousWavelet* blank_continous_wavelet() { ContinuousWavelet* w; w = wtmalloc(sizeof(ContinuousWavelet)); if(w == NULL) return NULL; /* set properties to "blank" values */ w->center_frequency = -1; w->bandwidth_frequency = -1; w->fbsp_order = 0; return w; } DiscreteWavelet* copy_discrete_wavelet(DiscreteWavelet* base) { DiscreteWavelet* w; if(base == NULL) return NULL; if(base->dec_len < 0 || base->rec_len < 0) return NULL; w = wtmalloc(sizeof(DiscreteWavelet)); if(w == NULL) return NULL; memcpy(w, base, sizeof(DiscreteWavelet)); if (base->dec_len > 0) { w->dec_lo_float = wtmalloc(w->dec_len * sizeof(float)); w->dec_hi_float = wtmalloc(w->dec_len * sizeof(float)); w->dec_lo_double = wtmalloc(w->dec_len * sizeof(double)); w->dec_hi_double = wtmalloc(w->dec_len * sizeof(double)); if(w->dec_lo_float == NULL || w->dec_hi_float == NULL || w->dec_lo_double == NULL || w->dec_hi_double == NULL){ free_discrete_wavelet(w); return NULL; } } else { w->dec_lo_float = NULL; w->dec_hi_float = NULL; w->dec_lo_double = NULL; w->dec_hi_double = NULL; } if (base->rec_len > 0) { w->rec_lo_float = wtmalloc(w->rec_len * sizeof(float)); w->rec_hi_float = wtmalloc(w->rec_len * sizeof(float)); w->rec_lo_double = wtmalloc(w->rec_len * sizeof(double)); w->rec_hi_double = wtmalloc(w->rec_len * sizeof(double)); if( w->rec_lo_float == NULL || w->rec_hi_float == NULL || w->rec_lo_double == NULL || w->rec_hi_double == NULL){ free_discrete_wavelet(w); return NULL; } } else { w->rec_lo_float = NULL; w->rec_hi_float = NULL; w->rec_lo_double = NULL; w->rec_hi_double = NULL; } // FIXME: Test coverage, the only use in `wavelet` overwrites the filter if (base->dec_len > 0) { memcpy(w->dec_lo_float, base->dec_lo_float, w->dec_len * sizeof(float)); memcpy(w->dec_hi_float, base->dec_hi_float, w->dec_len * sizeof(float)); memcpy(w->dec_lo_double, base->dec_lo_double, w->dec_len * sizeof(double)); memcpy(w->dec_hi_double, base->dec_hi_double, w->dec_len * sizeof(double)); } if (base->rec_len > 0) { memcpy(w->rec_lo_float, base->rec_lo_float, w->rec_len * sizeof(float)); memcpy(w->rec_hi_float, base->rec_hi_float, w->rec_len * sizeof(float)); memcpy(w->rec_lo_double, base->rec_lo_double, w->rec_len * sizeof(double)); memcpy(w->rec_hi_double, base->rec_hi_double, w->rec_len * sizeof(double)); } return w; } void free_discrete_wavelet(DiscreteWavelet *w){ /* deallocate filters */ if (w->dec_len > 0) { wtfree(w->dec_lo_float); wtfree(w->dec_hi_float); wtfree(w->dec_lo_double); wtfree(w->dec_hi_double); } if (w->rec_len > 0) { wtfree(w->rec_lo_float); wtfree(w->rec_hi_float); wtfree(w->rec_lo_double); wtfree(w->rec_hi_double); } /* finally free struct */ wtfree(w); } void free_continous_wavelet(ContinuousWavelet *w){ /* finally free struct */ wtfree(w); } #undef SWAP #undef NELEMS PyWavelets-0.5.1/pywt/_extensions/c/wavelets.h0000755€>SK[€>P0000000524113017375740023360 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ #pragma once #include "common.h" /* Wavelet symmetry properties */ typedef enum { UNKNOWN = -1, ASYMMETRIC = 0, NEAR_SYMMETRIC = 1, SYMMETRIC = 2, ANTI_SYMMETRIC = 3 } SYMMETRY; /* Wavelet name */ typedef enum { HAAR, RBIO, DB, SYM, COIF, BIOR, DMEY, GAUS, MEXH, MORL, CGAU, SHAN, FBSP, CMOR } WAVELET_NAME; /* Wavelet structure holding pointers to filter arrays and property attributes */ typedef struct { /* Wavelet properties */ pywt_index_t support_width; SYMMETRY symmetry; unsigned int orthogonal:1; unsigned int biorthogonal:1; unsigned int compact_support:1; int _builtin; char* family_name; char* short_name; } BaseWavelet; typedef struct { BaseWavelet base; double* dec_hi_double; /* highpass decomposition */ double* dec_lo_double; /* lowpass decomposition */ double* rec_hi_double; /* highpass reconstruction */ double* rec_lo_double; /* lowpass reconstruction */ float* dec_hi_float; float* dec_lo_float; float* rec_hi_float; float* rec_lo_float; size_t dec_len; /* length of decomposition filter */ size_t rec_len; /* length of reconstruction filter */ int vanishing_moments_psi; int vanishing_moments_phi; } DiscreteWavelet; typedef struct { BaseWavelet base; float lower_bound; float upper_bound; /* Parameters for shan, fbsp, cmor*/ int complex_cwt; float center_frequency; float bandwidth_frequency; unsigned int fbsp_order; } ContinuousWavelet; int is_discrete_wavelet(WAVELET_NAME name); /* * Allocate Wavelet struct and set its attributes * name - (currently) a character codename of a wavelet family * order - order of the wavelet (ie. coif3 has order 3) */ DiscreteWavelet* discrete_wavelet(WAVELET_NAME name, unsigned int order); ContinuousWavelet* continous_wavelet(WAVELET_NAME name, unsigned int order); /* * Allocate blank Discrete Wavelet with zero-filled filters of given length */ DiscreteWavelet* blank_discrete_wavelet(size_t filters_length); ContinuousWavelet* blank_continous_wavelet(); /* Deep copy Discrete Wavelet */ DiscreteWavelet* copy_discrete_wavelet(DiscreteWavelet* base); /* * Free wavelet struct. Use this to free Wavelet allocated with * wavelet(...) or blank_wavelet(...) functions. */ void free_discrete_wavelet(DiscreteWavelet *wavelet); void free_continous_wavelet(ContinuousWavelet *wavelet); PyWavelets-0.5.1/pywt/_extensions/c/wavelets_coeffs.h0000755€>SK[€>P0000000110313017375740024676 0ustar lee8rxdomain^users00000000000000#pragma once #ifdef TYPE #error TYPE should not be defined here. #else /* ignore warning about initializing floats from double values */ #if defined _MSC_VER #pragma warning (push) #pragma warning (disable:4305) #elif defined __GNUC__ #pragma GCC diagnostic push #pragma GCC diagnostic ignored "-Wconversion" #endif #define TYPE float #include "wavelets_coeffs.template.h" #undef TYPE #if defined _MSC_VER #pragma warning (pop) #elif defined __GNUC__ #pragma GCC diagnostic pop #endif #define TYPE double #include "wavelets_coeffs.template.h" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/wavelets_coeffs.template.h0000755€>SK[€>P0000056514313017375740026533 0ustar lee8rxdomain^users00000000000000#include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else /* * Filters coefficients for selected wavelets * * Daubechies: db1 - db20 * Symlets: sym2 - sym20 * Coiflets: coif1 - coif5 * Biorthogonal: bior 1.1, 1.3, 1.5, * 2.2, 2.4, 2.6, 2.8, * 3.1, 3.3, 3.5, 3.7, 3.9, * 4.4, 5.5, 6.8 * Discrete Meyer wavelet *approximation*: dmey * * Coefficients for Daubechies wavelets 1-38 * ----------------------------------------- * 2000.08.10 - Some more info added. * (http://www.musicdsp.org/files/daub.h) * * Computed by Kazuo Hatano, Aichi Institute of Technology. * ftp://phase.etl.go.jp/pub/phase/wavelet/index.html * * Compiled and verified by Olli Niemitalo. * * Coefficients for Coiflets wavelets 1-17 * ----------------------------------------- * Computed by Kazuo Hatano, Aichi Institute of Technology. * http://repository.kulib.kyoto-u.ac.jp/dspace/handle/2433/60181 */ static const TYPE CAT(db1_, TYPE)[2] = { 7.071067811865475244008443621048490392848359376884740365883398e-01, 7.071067811865475244008443621048490392848359376884740365883398e-01 }; static const TYPE CAT(db2_, TYPE)[4] = { 4.829629131445341433748715998644486838169524195042022752011715e-01, 8.365163037378079055752937809168732034593703883484392934953414e-01, 2.241438680420133810259727622404003554678835181842717613871683e-01, -1.294095225512603811744494188120241641745344506599652569070016e-01 }; static const TYPE CAT(db3_, TYPE)[6] = { 3.326705529500826159985115891390056300129233992450683597084705e-01, 8.068915093110925764944936040887134905192973949948236181650920e-01, 4.598775021184915700951519421476167208081101774314923066433867e-01, -1.350110200102545886963899066993744805622198452237811919756862e-01, -8.544127388202666169281916918177331153619763898808662976351748e-02, 3.522629188570953660274066471551002932775838791743161039893406e-02 }; static const TYPE CAT(db4_, TYPE)[8] = { 2.303778133088965008632911830440708500016152482483092977910968e-01, 7.148465705529156470899219552739926037076084010993081758450110e-01, 6.308807679298589078817163383006152202032229226771951174057473e-01, -2.798376941685985421141374718007538541198732022449175284003358e-02, -1.870348117190930840795706727890814195845441743745800912057770e-01, 3.084138183556076362721936253495905017031482172003403341821219e-02, 3.288301166688519973540751354924438866454194113754971259727278e-02, -1.059740178506903210488320852402722918109996490637641983484974e-02 }; static const TYPE CAT(db5_, TYPE)[10] = { 1.601023979741929144807237480204207336505441246250578327725699e-01, 6.038292697971896705401193065250621075074221631016986987969283e-01, 7.243085284377729277280712441022186407687562182320073725767335e-01, 1.384281459013207315053971463390246973141057911739561022694652e-01, -2.422948870663820318625713794746163619914908080626185983913726e-01, -3.224486958463837464847975506213492831356498416379847225434268e-02, 7.757149384004571352313048938860181980623099452012527983210146e-02, -6.241490212798274274190519112920192970763557165687607323417435e-03, -1.258075199908199946850973993177579294920459162609785020169232e-02, 3.335725285473771277998183415817355747636524742305315099706428e-03 }; static const TYPE CAT(db6_, TYPE)[12] = { 1.115407433501094636213239172409234390425395919844216759082360e-01, 4.946238903984530856772041768778555886377863828962743623531834e-01, 7.511339080210953506789344984397316855802547833382612009730420e-01, 3.152503517091976290859896548109263966495199235172945244404163e-01, -2.262646939654398200763145006609034656705401539728969940143487e-01, -1.297668675672619355622896058765854608452337492235814701599310e-01, 9.750160558732304910234355253812534233983074749525514279893193e-02, 2.752286553030572862554083950419321365738758783043454321494202e-02, -3.158203931748602956507908069984866905747953237314842337511464e-02, 5.538422011614961392519183980465012206110262773864964295476524e-04, 4.777257510945510639635975246820707050230501216581434297593254e-03, -1.077301085308479564852621609587200035235233609334419689818580e-03 }; static const TYPE CAT(db7_, TYPE)[14] = { 7.785205408500917901996352195789374837918305292795568438702937e-02, 3.965393194819173065390003909368428563587151149333287401110499e-01, 7.291320908462351199169430703392820517179660611901363782697715e-01, 4.697822874051931224715911609744517386817913056787359532392529e-01, -1.439060039285649754050683622130460017952735705499084834401753e-01, -2.240361849938749826381404202332509644757830896773246552665095e-01, 7.130921926683026475087657050112904822711327451412314659575113e-02, 8.061260915108307191292248035938190585823820965629489058139218e-02, -3.802993693501441357959206160185803585446196938467869898283122e-02, -1.657454163066688065410767489170265479204504394820713705239272e-02, 1.255099855609984061298988603418777957289474046048710038411818e-02, 4.295779729213665211321291228197322228235350396942409742946366e-04, -1.801640704047490915268262912739550962585651469641090625323864e-03, 3.537137999745202484462958363064254310959060059520040012524275e-04 }; static const TYPE CAT(db8_, TYPE)[16] = { 5.441584224310400995500940520299935503599554294733050397729280e-02, 3.128715909142999706591623755057177219497319740370229185698712e-01, 6.756307362972898068078007670471831499869115906336364227766759e-01, 5.853546836542067127712655200450981944303266678053369055707175e-01, -1.582910525634930566738054787646630415774471154502826559735335e-02, -2.840155429615469265162031323741647324684350124871451793599204e-01, 4.724845739132827703605900098258949861948011288770074644084096e-04, 1.287474266204784588570292875097083843022601575556488795577000e-01, -1.736930100180754616961614886809598311413086529488394316977315e-02, -4.408825393079475150676372323896350189751839190110996472750391e-02, 1.398102791739828164872293057263345144239559532934347169146368e-02, 8.746094047405776716382743246475640180402147081140676742686747e-03, -4.870352993451574310422181557109824016634978512157003764736208e-03, -3.917403733769470462980803573237762675229350073890493724492694e-04, 6.754494064505693663695475738792991218489630013558432103617077e-04, -1.174767841247695337306282316988909444086693950311503927620013e-04 }; static const TYPE CAT(db9_, TYPE)[18] = { 3.807794736387834658869765887955118448771714496278417476647192e-02, 2.438346746125903537320415816492844155263611085609231361429088e-01, 6.048231236901111119030768674342361708959562711896117565333713e-01, 6.572880780513005380782126390451732140305858669245918854436034e-01, 1.331973858250075761909549458997955536921780768433661136154346e-01, -2.932737832791749088064031952421987310438961628589906825725112e-01, -9.684078322297646051350813353769660224825458104599099679471267e-02, 1.485407493381063801350727175060423024791258577280603060771649e-01, 3.072568147933337921231740072037882714105805024670744781503060e-02, -6.763282906132997367564227482971901592578790871353739900748331e-02, 2.509471148314519575871897499885543315176271993709633321834164e-04, 2.236166212367909720537378270269095241855646688308853754721816e-02, -4.723204757751397277925707848242465405729514912627938018758526e-03, -4.281503682463429834496795002314531876481181811463288374860455e-03, 1.847646883056226476619129491125677051121081359600318160732515e-03, 2.303857635231959672052163928245421692940662052463711972260006e-04, -2.519631889427101369749886842878606607282181543478028214134265e-04, 3.934732031627159948068988306589150707782477055517013507359938e-05 }; static const TYPE CAT(db10_, TYPE)[20] = { 2.667005790055555358661744877130858277192498290851289932779975e-02, 1.881768000776914890208929736790939942702546758640393484348595e-01, 5.272011889317255864817448279595081924981402680840223445318549e-01, 6.884590394536035657418717825492358539771364042407339537279681e-01, 2.811723436605774607487269984455892876243888859026150413831543e-01, -2.498464243273153794161018979207791000564669737132073715013121e-01, -1.959462743773770435042992543190981318766776476382778474396781e-01, 1.273693403357932600826772332014009770786177480422245995563097e-01, 9.305736460357235116035228983545273226942917998946925868063974e-02, -7.139414716639708714533609307605064767292611983702150917523756e-02, -2.945753682187581285828323760141839199388200516064948779769654e-02, 3.321267405934100173976365318215912897978337413267096043323351e-02, 3.606553566956169655423291417133403299517350518618994762730612e-03, -1.073317548333057504431811410651364448111548781143923213370333e-02, 1.395351747052901165789318447957707567660542855688552426721117e-03, 1.992405295185056117158742242640643211762555365514105280067936e-03, -6.858566949597116265613709819265714196625043336786920516211903e-04, -1.164668551292854509514809710258991891527461854347597362819235e-04, 9.358867032006959133405013034222854399688456215297276443521873e-05, -1.326420289452124481243667531226683305749240960605829756400674e-05 }; static const TYPE CAT(db11_, TYPE)[22] = { 1.869429776147108402543572939561975728967774455921958543286692e-02, 1.440670211506245127951915849361001143023718967556239604318852e-01, 4.498997643560453347688940373853603677806895378648933474599655e-01, 6.856867749162005111209386316963097935940204964567703495051589e-01, 4.119643689479074629259396485710667307430400410187845315697242e-01, -1.622752450274903622405827269985511540744264324212130209649667e-01, -2.742308468179469612021009452835266628648089521775178221905778e-01, 6.604358819668319190061457888126302656753142168940791541113457e-02, 1.498120124663784964066562617044193298588272420267484653796909e-01, -4.647995511668418727161722589023744577223260966848260747450320e-02, -6.643878569502520527899215536971203191819566896079739622858574e-02, 3.133509021904607603094798408303144536358105680880031964936445e-02, 2.084090436018106302294811255656491015157761832734715691126692e-02, -1.536482090620159942619811609958822744014326495773000120205848e-02, -3.340858873014445606090808617982406101930658359499190845656731e-03, 4.928417656059041123170739741708273690285547729915802418397458e-03, -3.085928588151431651754590726278953307180216605078488581921562e-04, -8.930232506662646133900824622648653989879519878620728793133358e-04, 2.491525235528234988712216872666801088221199302855425381971392e-04, 5.443907469936847167357856879576832191936678525600793978043688e-05, -3.463498418698499554128085159974043214506488048233458035943601e-05, 4.494274277236510095415648282310130916410497987383753460571741e-06 }; static const TYPE CAT(db12_, TYPE)[24] = { 1.311225795722951750674609088893328065665510641931325007748280e-02, 1.095662728211851546057045050248905426075680503066774046383657e-01, 3.773551352142126570928212604879206149010941706057526334705839e-01, 6.571987225793070893027611286641169834250203289988412141394281e-01, 5.158864784278156087560326480543032700677693087036090056127647e-01, -4.476388565377462666762747311540166529284543631505924139071704e-02, -3.161784537527855368648029353478031098508839032547364389574203e-01, -2.377925725606972768399754609133225784553366558331741152482612e-02, 1.824786059275796798540436116189241710294771448096302698329011e-01, 5.359569674352150328276276729768332288862665184192705821636342e-03, -9.643212009650708202650320534322484127430880143045220514346402e-02, 1.084913025582218438089010237748152188661630567603334659322512e-02, 4.154627749508444073927094681906574864513532221388374861287078e-02, -1.221864906974828071998798266471567712982466093116558175344811e-02, -1.284082519830068329466034471894728496206109832314097633275225e-02, 6.711499008795509177767027068215672450648112185856456740379455e-03, 2.248607240995237599950865211267234018343199786146177099262010e-03, -2.179503618627760471598903379584171187840075291860571264980942e-03, 6.545128212509595566500430399327110729111770568897356630714552e-06, 3.886530628209314435897288837795981791917488573420177523436096e-04, -8.850410920820432420821645961553726598738322151471932808015443e-05, -2.424154575703078402978915320531719580423778362664282239377532e-05, 1.277695221937976658714046362616620887375960941439428756055353e-05, -1.529071758068510902712239164522901223197615439660340672602696e-06 }; static const TYPE CAT(db13_, TYPE)[26] = { 9.202133538962367972970163475644184667534171916416562386009703e-03, 8.286124387290277964432027131230466405208113332890135072514277e-02, 3.119963221604380633960784112214049693946683528967180317160390e-01, 6.110558511587876528211995136744180562073612676018239438526582e-01, 5.888895704312189080710395347395333927665986382812836042235573e-01, 8.698572617964723731023739838087494399231884076619701250882016e-02, -3.149729077113886329981698255932282582876888450678789025950306e-01, -1.245767307508152589413808336021260180792739295173634719572069e-01, 1.794760794293398432348450072339369013581966256244133393042881e-01, 7.294893365677716380902830610477661983325929026879873553627963e-02, -1.058076181879343264509667304196464849478860754801236658232360e-01, -2.648840647534369463963912248034785726419604844297697016264224e-02, 5.613947710028342886214501998387331119988378792543100244737056e-02, 2.379972254059078811465170958554208358094394612051934868475139e-03, -2.383142071032364903206403067757739134252922717636226274077298e-02, 3.923941448797416243316370220815526558824746623451404043918407e-03, 7.255589401617566194518393300502698898973529679646683695269828e-03, -2.761911234656862178014576266098445995350093330501818024966316e-03, -1.315673911892298936613835370593643376060412592653652307238124e-03, 9.323261308672633862226517802548514100918088299801952307991569e-04, 4.925152512628946192140957387866596210103778299388823500840094e-05, -1.651289885565054894616687709238000755898548214659776703347801e-04, 3.067853757932549346649483228575476236600428217237900563128230e-05, 1.044193057140813708170714991080596951670706436217328169641474e-05, -4.700416479360868325650195165061771321650383582970958556568059e-06, 5.220035098454864691736424354843176976747052155243557001531901e-07 }; static const TYPE CAT(db14_, TYPE)[28] = { 6.461153460087947818166397448622814272327159419201199218101404e-03, 6.236475884939889832798566758434877428305333693407667164602518e-02, 2.548502677926213536659077886778286686187042416367137443780084e-01, 5.543056179408938359926831449851154844078269830951634609683997e-01, 6.311878491048567795576617135358172348623952456570017289788809e-01, 2.186706877589065214917475918217517051765774321270432059030273e-01, -2.716885522787480414142192476181171094604882465683330814311896e-01, -2.180335299932760447555558812702311911975240669470604752747127e-01, 1.383952138648065910739939690021573713989900463229686119059119e-01, 1.399890165844607012492943162271163440328221555614326181333683e-01, -8.674841156816968904560822066727795382979149539517503657492964e-02, -7.154895550404613073584145115173807990958069673129538099990913e-02, 5.523712625921604411618834060533403397913833632511672157671107e-02, 2.698140830791291697399031403215193343375766595807274233284349e-02, -3.018535154039063518714822623489137573781575406658652624883756e-02, -5.615049530356959133218371367691498637457297203925810387698680e-03, 1.278949326633340896157330705784079299374903861572058313481534e-02, -7.462189892683849371817160739181780971958187988813302900435487e-04, -3.849638868022187445786349316095551774096818508285700493058915e-03, 1.061691085606761843032566749388411173033941582147830863893939e-03, 7.080211542355278586442977697617128983471863464181595371670094e-04, -3.868319473129544821076663398057314427328902107842165379901468e-04, -4.177724577037259735267979539839258928389726590132730131054323e-05, 6.875504252697509603873437021628031601890370687651875279882727e-05, -1.033720918457077394661407342594814586269272509490744850691443e-05, -4.389704901781394115254042561367169829323085360800825718151049e-06, 1.724994675367812769885712692741798523587894709867356576910717e-06, -1.787139968311359076334192938470839343882990309976959446994022e-07 }; static const TYPE CAT(db15_, TYPE)[30] = { 4.538537361578898881459394910211696346663671243788786997916513e-03, 4.674339489276627189170969334843575776579151700214943513113197e-02, 2.060238639869957315398915009476307219306138505641930902702047e-01, 4.926317717081396236067757074029946372617221565130932402160160e-01, 6.458131403574243581764209120106917996432608287494046181071489e-01, 3.390025354547315276912641143835773918756769491793554669336690e-01, -1.932041396091454287063990534321471746304090039142863827937754e-01, -2.888825965669656462484125009822332981311435630435342594971292e-01, 6.528295284877281692283107919869574882039174285596144125965101e-02, 1.901467140071229823484893116586020517959501258174336696878156e-01, -3.966617655579094448384366751896200668381742820683736805449745e-02, -1.111209360372316933656710324674058608858623762165914120505657e-01, 3.387714392350768620854817844433523770864744687411265369463195e-02, 5.478055058450761268913790312581879108609415997422768564244845e-02, -2.576700732843996258594525754269826392203641634825340138396836e-02, -2.081005016969308167788483424677000162054657951364899040996166e-02, 1.508391802783590236329274460170322736244892823305627716233968e-02, 5.101000360407543169708860185565314724801066527344222055526631e-03, -6.487734560315744995181683149218690816955845639388826407928967e-03, -2.417564907616242811667225326300179605229946995814535223329411e-04, 1.943323980382211541764912332541087441011424865579531401452302e-03, -3.734823541376169920098094213645414611387630968030256625740226e-04, -3.595652443624688121649620075909808858194202454084090305627480e-04, 1.558964899205997479471658241227108816255567059625495915228603e-04, 2.579269915531893680925862417616855912944042368767340709160119e-05, -2.813329626604781364755324777078478665791443876293788904267255e-05, 3.362987181737579803124845210420177472134846655864078187186304e-06, 1.811270407940577083768510912285841160577085925337507850590290e-06, -6.316882325881664421201597299517657654166137915121195510416641e-07, 6.133359913305752029056299460289788601989190450885396512173845e-08 }; static const TYPE CAT(db16_, TYPE)[32] = { 3.189220925347738029769547564645958687067086750131428767875878e-03, 3.490771432367334641030147224023020009218241430503984146140054e-02, 1.650642834888531178991252730561134811584835002342723240213592e-01, 4.303127228460038137403925424357684620633970478036986773924646e-01, 6.373563320837888986319852412996030536498595940814198125967751e-01, 4.402902568863569000390869163571679288527803035135272578789884e-01, -8.975108940248964285718718077442597430659247445582660149624718e-02, -3.270633105279177046462905675689119641757228918228812428141723e-01, -2.791820813302827668264519595026873204339971219174736041535479e-02, 2.111906939471042887209680163268837900928491426167679439251042e-01, 2.734026375271604136485245757201617965429027819507130220231500e-02, -1.323883055638103904500474147756493375092287817706027978798549e-01, -6.239722752474871765674503394120025865444656311678760990761458e-03, 7.592423604427631582148498743941422461530405946100943351940313e-02, -7.588974368857737638494890864636995796586975144990925400097160e-03, -3.688839769173014233352666320894554314718748429706730831064068e-02, 1.029765964095596941165000580076616900528856265803662208854147e-02, 1.399376885982873102950451873670329726409840291727868988490100e-02, -6.990014563413916670284249536517288338057856199646469078115759e-03, -3.644279621498389932169000540933629387055333973353108668841215e-03, 3.128023381206268831661202559854678767821471906193608117450360e-03, 4.078969808497128362417470323406095782431952972310546715071397e-04, -9.410217493595675889266453953635875407754747216734480509250273e-04, 1.142415200387223926440228099555662945839684344936472652877091e-04, 1.747872452253381803801758637660746874986024728615399897971953e-04, -6.103596621410935835162369150522212811957259981965919143961722e-05, -1.394566898820889345199078311998401982325273569198675335408707e-05, 1.133660866127625858758848762886536997519471068203753661757843e-05, -1.043571342311606501525454737262615404887478930635676471546032e-06, -7.363656785451205512099695719725563646585445545841663327433569e-07, 2.308784086857545866405412732942006121306306735866655525372544e-07, -2.109339630100743097000572623603489906836297584591605307745349e-08 }; static const TYPE CAT(db17_, TYPE)[34] = { 2.241807001037312853535962677074436914062191880560370733250531e-03, 2.598539370360604338914864591720788315473944524878241294399948e-02, 1.312149033078244065775506231859069960144293609259978530067004e-01, 3.703507241526411504492548190721886449477078876896803823650425e-01, 6.109966156846228181886678867679372082737093893358726291371783e-01, 5.183157640569378393254538528085968046216817197718416402439904e-01, 2.731497040329363500431250719147586480350469818964563003672942e-02, -3.283207483639617360909665340725061767581597698151558024679130e-01, -1.265997522158827028744679110933825505053966260104086162103728e-01, 1.973105895650109927854047044781930142551422414135646917122284e-01, 1.011354891774702721509699856433434802196622545499664876109437e-01, -1.268156917782863110948571128662331680384792185915017065732137e-01, -5.709141963167692728911239478651382324161160869845347053990144e-02, 8.110598665416088507965885748555429201024364190954499194020678e-02, 2.231233617810379595339136059534813756232242114093689244020869e-02, -4.692243838926973733300897059211400507138768125498030602878439e-02, -3.270955535819293781655360222177494452069525958061609392809275e-03, 2.273367658394627031845616244788448969906713741338339498024864e-02, -3.042989981354637068592482637907206078633395457225096588287881e-03, -8.602921520322854831713706413243659917926736284271730611920986e-03, 2.967996691526094872806485060008038269959463846548378995044195e-03, 2.301205242153545624302059869038423604241976680189447476064764e-03, -1.436845304802976126222890402980384903503674530729935809561434e-03, -3.281325194098379713954444017520115075812402442728749700195651e-04, 4.394654277686436778385677527317841632289249319738892179465910e-04, -2.561010956654845882729891210949920221664082061531909655178413e-05, -8.204803202453391839095482576282189866136273049636764338689593e-05, 2.318681379874595084482068205706277572106695174091895338530734e-05, 6.990600985076751273204549700855378627762758585902057964027481e-06, -4.505942477222988194102268206378312129713572600716499944918416e-06, 3.016549609994557415605207594879939763476168705217646897702706e-07, 2.957700933316856754979905258816151367870345628924317307354639e-07, -8.423948446002680178787071296922877068410310942222799622593133e-08, 7.267492968561608110879767441409035034158581719789791088892046e-09 }; static const TYPE CAT(db18_, TYPE)[36] = { 1.576310218440760431540744929939777747670753710991660363684429e-03, 1.928853172414637705921391715829052419954667025288497572236714e-02, 1.035884658224235962241910491937253596470696555220241672976224e-01, 3.146789413370316990571998255652579931786706190489374509491307e-01, 5.718268077666072234818589370900623419393673743130930561295324e-01, 5.718016548886513352891119994065965025668047882818525060759395e-01, 1.472231119699281415750977271081072312557864107355701387801677e-01, -2.936540407365587442479030994981150723935710729035053239661752e-01, -2.164809340051429711237678625668271471437937235669492408388692e-01, 1.495339755653777893509301738913667208804816691893765610261943e-01, 1.670813127632574045149318139950134745324205646353988083152250e-01, -9.233188415084628060429372558659459731431848000144569612074508e-02, -1.067522466598284855932200581614984861385266404624112083917702e-01, 6.488721621190544281947577955141911463129382116634147846137149e-02, 5.705124773853688412090768846499622260596226120431038524600676e-02, -4.452614190298232471556143559744653492971477891439833592755034e-02, -2.373321039586000103275209582665216110197519330713490233071565e-02, 2.667070592647059029987908631672020343207895999936072813363471e-02, 6.262167954305707485236093144497882501990325204745013190268052e-03, -1.305148094661200177277636447600807169755191054507571666606133e-02, 1.186300338581174657301741592161819084544899417452317405185615e-04, 4.943343605466738130665529516802974834299638313366477765295203e-03, -1.118732666992497072800658855238650182318060482584970145512687e-03, -1.340596298336106629517567228251583609823044524685986640323942e-03, 6.284656829651457125619449885420838217551022796301582874349652e-04, 2.135815619103406884039052814341926025873200325996466522543440e-04, -1.986485523117479485798245416362489554927797880264017876139605e-04, -1.535917123534724675069770335876717193700472427021513236587288e-07, 3.741237880740038181092208138035393952304292615793985030731363e-05, -8.520602537446695203919254911655523022437596956226376512305917e-06, -3.332634478885821888782452033341036827311505907796498439829337e-06, 1.768712983627615455876328730755375176412501359114058815453100e-06, -7.691632689885176146000152878539598405817397588156525116769908e-08, -1.176098767028231698450982356561292561347579777695396953528141e-07, 3.068835863045174800935478294933975372450179787894574492930570e-08, -2.507934454948598267195173183147126731806317144868275819941403e-09 }; static const TYPE CAT(db19_, TYPE)[38] = { 1.108669763181710571099154195209715164245299677773435932135455e-03, 1.428109845076439737439889152950199234745663442163665957870715e-02, 8.127811326545955065296306784901624839844979971028620366497726e-02, 2.643884317408967846748100380289426873862377807211920718417385e-01, 5.244363774646549153360575975484064626044633641048072116393160e-01, 6.017045491275378948867077135921802620536565639585963293313931e-01, 2.608949526510388292872456675310528324172673101301907739925213e-01, -2.280913942154826463746325776054637207093787237086425909534822e-01, -2.858386317558262418545975695028984237217356095588335149922119e-01, 7.465226970810326636763433111878819005865866149731909656365399e-02, 2.123497433062784888090608567059824197077074200878839448416908e-01, -3.351854190230287868169388418785731506977845075238966819814032e-02, -1.427856950387365749779602731626112812998497706152428508627562e-01, 2.758435062562866875014743520162198655374474596963423080762818e-02, 8.690675555581223248847645428808443034785208002468192759640352e-02, -2.650123625012304089901835843676387361075068017686747808171345e-02, -4.567422627723090805645444214295796017938935732115630050880109e-02, 2.162376740958504713032984257172372354318097067858752542571020e-02, 1.937554988917612764637094354457999814496885095875825546406963e-02, -1.398838867853514163250401235248662521916813867453095836808366e-02, -5.866922281012174726584493436054373773814608340808758177372765e-03, 7.040747367105243153014511207400620109401689897665383078229398e-03, 7.689543592575483559749139148673955163477947086039406129546422e-04, -2.687551800701582003957363855070398636534038920982478290170267e-03, 3.418086534585957765651657290463808135214214848819517257794031e-04, 7.358025205054352070260481905397281875183175792779904858189494e-04, -2.606761356786280057318315130897522790383939362073563408613547e-04, -1.246007917341587753449784408901653990317341413341980904757592e-04, 8.711270467219922965416862388191128268412933893282083517729443e-05, 5.105950487073886053049222809934231573687367992106282669389264e-06, -1.664017629715494454620677719899198630333675608812018108739144e-05, 3.010964316296526339695334454725943632645798938162427168851382e-06, 1.531931476691193063931832381086636031203123032723477463624141e-06, -6.862755657769142701883554613486732854452740752771392411758418e-07, 1.447088298797844542078219863291615420551673574071367834316167e-08, 4.636937775782604223430857728210948898871748291085962296649320e-08, -1.116402067035825816390504769142472586464975799284473682246076e-08, 8.666848838997619350323013540782124627289742190273059319122840e-10 }; static const TYPE CAT(db20_, TYPE)[40] = { 7.799536136668463215861994818889370970510722039232863880031127e-04, 1.054939462495039832454480973015641498231961468733236691299796e-02, 6.342378045908151497587346582668785136406523315729666353643372e-02, 2.199421135513970450080335972537209392121306761010882209298252e-01, 4.726961853109016963710241465101446230757804141171727845834637e-01, 6.104932389385938201631515660084201906858628924695448898824748e-01, 3.615022987393310629195602665268631744967084723079677894136358e-01, -1.392120880114838725806970545155530518264944915437808314813582e-01, -3.267868004340349674031122837905370666716645587480021744425550e-01, -1.672708830907700757517174997304297054003744303620479394006890e-02, 2.282910508199163229728429126648223086437547237250290835639880e-01, 3.985024645777120219790581076522174181104027576954427684456660e-02, -1.554587507072679559315307870562464374359996091752285157077477e-01, -2.471682733861358401587992299169922262915151413349313513685587e-02, 1.022917191744425578861013681016866083888381385233081516583444e-01, 5.632246857307435506953246988215209861566800664402785938591145e-03, -6.172289962468045973318658334083283558209278762007041823250642e-02, 5.874681811811826491300679742081997167209743446956901841959711e-03, 3.229429953076958175885440860617219117564558605035979601073235e-02, -8.789324923901561348753650366700695916503030939283830968151332e-03, -1.381052613715192007819606423860356590496904285724730356602106e-02, 6.721627302259456835336850521405425560520025237915708362002910e-03, 4.420542387045790963058229526673514088808999478115581153468068e-03, -3.581494259609622777556169638358238375765194248623891034940330e-03, -8.315621728225569192482585199373230956924484221135739973390038e-04, 1.392559619323136323905254999347967283760544147397530531142397e-03, -5.349759843997695051759716377213680036185796059087353172073952e-05, -3.851047486992176060650288501475716463266233035937022303649838e-04, 1.015328897367029050797488785306056522529979267572003990901472e-04, 6.774280828377729558011184406727978221295796652200819839464354e-05, -3.710586183394712864227221271216408416958225264980612822617745e-05, -4.376143862183996810373095822528607606900620592585762190542483e-06, 7.241248287673620102843105877497181565468725757387007139555885e-06, -1.011994010018886150340475413756849103197395069431085005709201e-06, -6.847079597000556894163334787575159759109091330092963990364192e-07, 2.633924226270001084129057791994367121555769686616747162262697e-07, 2.014322023550512694324757845944026047904414136633776958392681e-10, -1.814843248299695973210605258227024081458531110762083371310917e-08, 4.056127055551832766099146230616888024627380574113178257963252e-09, -2.998836489619319566407767078372705385732460052685621923178375e-10 }; static const TYPE CAT(db21_, TYPE)[42] = { 5.488225098526837086776336675992521426750673054588245523834775e-04, 7.776639052354783754338787398088799862510779059555623704879234e-03, 4.924777153817727491399853378340056968104483161598320693657954e-02, 1.813596254403815156260378722764624190931951510708050516519181e-01, 4.196879449393627730946850609089266339973601543036294871772653e-01, 6.015060949350038975629880664020955953066542593896126705346122e-01, 4.445904519276003403643290994523601016151342743089878478478962e-01, -3.572291961725529045922914178005307189036762547143966578066838e-02, -3.356640895305295094832978867114363069987575282256098351499731e-01, -1.123970715684509813515004981340306901641824212464197973490295e-01, 2.115645276808723923846781645238468659430862736248896128529373e-01, 1.152332984396871041993434411681730428103160016594558944687967e-01, -1.399404249325472249247758764839776903226503657502071670245304e-01, -8.177594298086382887387303634193790542522570670234556157566786e-02, 9.660039032372422070232189700372539681627783322249829842275517e-02, 4.572340574922879239251202944731235421034828710753381191345186e-02, -6.497750489373232063332311106008616685748929419452249544690967e-02, -1.865385920211851534093244412008141266131208093007217139232170e-02, 3.972683542785044175197464400756126818299918992482587866999707e-02, 3.357756390338110842532604766376200760791669954106679933144723e-03, -2.089205367797907948785235479746212371728219866525211135343707e-02, 2.403470920805434762380632169785689545910525667396313550679652e-03, 8.988824381971911875349463398395464114417817949738911101372312e-03, -2.891334348588901247375268718015882610844675931117463495551958e-03, -2.958374038932831280750770228215510959830170264176955719827510e-03, 1.716607040630624138494506282569230126333308533535502799235333e-03, 6.394185005120302146432543767052865436099994387647359452249347e-04, -6.906711170821016507268939228893784790518270744313525548714065e-04, -3.196406277680437193708834220804640347636984901270948088339102e-05, 1.936646504165080615323696689856004910579777568504218782029027e-04, -3.635520250086338309442855006186370752206331429871136596927137e-05, -3.499665984987447953974079490046597240276268044409625722689849e-05, 1.535482509276049283124233498646050472096482329299719141107128e-05, 2.790330539814487046106169582691767916283793946025922387556917e-06, -3.090017164545699197158555936852697325985864588418167982685400e-06, 3.166095442367030556603889009833954440058545355777781782000278e-07, 2.992136630464852794401294607536813682771292352506328096125857e-07, -1.000400879030597332045460600516621971679363965166249211063755e-07, -2.254014974673330131563184851456825991617915549643308754828159e-09, 7.058033541231121859020947976903904685464512825731230495144226e-09, -1.471954197650365265189549600816698778213247061389470277337173e-09, 1.038805571023706553035373138760372703492942617518816122570050e-10}; static const TYPE CAT(db22_, TYPE)[44] = { 3.862632314910982158524358900615460368877852009576899680767316e-04, 5.721854631334539120809783403484493333555361591386208129183833e-03, 3.806993723641108494769873046391825574447727068953448390456335e-02, 1.483675408901114285014404448710249837385836373168215616427030e-01, 3.677286834460374788614690818452372827430535649696462720334897e-01, 5.784327310095244271421181831735444106385099957908657145590104e-01, 5.079010906221639018391523325390716836568713192498711562711282e-01, 7.372450118363015165570139016530653113725172412104955350368114e-02, -3.127265804282961918033226222621788537078452535993545440716988e-01, -2.005684061048870939324361244042200174132905844868237447130382e-01, 1.640931881067664818606223226286885712554385317412228836705888e-01, 1.799731879928913037252154295313083168387840791424988422757762e-01, -9.711079840911470969274209179691733251456735137994201552926799e-02, -1.317681376866834107513648518146838345477875022352088357523838e-01, 6.807631439273221556739202147004580559367442550641388181886023e-02, 8.455737636682607503362813659356786494357635805197410905877078e-02, -5.136425429744413245727949984018884707909441768477091944584584e-02, -4.653081182750671347875833607846979997825771277976548080904423e-02, 3.697084662069802057615318892988581825637896696876361343354380e-02, 2.058670762756536044060249710676656807281671451609632981487139e-02, -2.348000134449318868560142854519364987363882333754753819791381e-02, -6.213782849364658499069336123807608293122900450508440420104462e-03, 1.256472521834337406887017835495604463815382993214296088172221e-02, 3.001373985076435951229129255588255746904937042979316054485183e-04, -5.455691986156717076595353163071679107868762395367234726592273e-03, 1.044260739186025323350755659184734060807432172611689413745029e-03, 1.827010495657279080112597436850157110235336772062961041154607e-03, -7.706909881231196232880372722955519781655769913634565757339739e-04, -4.237873998391800799531947768003976978197438302533528661825758e-04, 3.286094142136787341983758471405935405823323072829619248523697e-04, 4.345899904532003379046992625575076092823809665933575578710696e-05, -9.405223634815760421845190098352673647881298980040512091599943e-05, 1.137434966212593172736144274866639210339820203135670505287250e-05, 1.737375695756189356163565074505405906859746605867772002320509e-05, -6.166729316467578372152251668422979152169587307212708981768966e-06, -1.565179131995160159307426993578204733378112742579926503832095e-06, 1.295182057318877573889711232345068147800395721925682566394936e-06, -8.779879873361286276888117046153049053917243760475816789226764e-08, -1.283336228751754417819693932114064887075096030264748079976736e-07, 3.761228749337362366156711648187743399164239397803629022612862e-08, 1.680171404922988885554331183691280245962290247654438114807112e-09, -2.729623146632976083449327361739104754443221903317745768938846e-09, 5.335938821667489905169783227036804533253011117886586305435615e-10, -3.602113484339554703794807810939301847299106970237814334104274e-11}; static const TYPE CAT(db23_, TYPE)[46] = { 2.719041941282888414192673609703302357098336003920923958924757e-04, 4.202748893183833538390034372523511472345215563611003407984701e-03, 2.931000365788411514736204018929480427874317460676079959515131e-02, 1.205155317839719336306053895611899089004274336891709067958035e-01, 3.184508138528652363416527748460472152790575031409830417259640e-01, 5.449311478735204282674240672421984387504149924834544495466793e-01, 5.510185172419193913452724227212507720514144116478727269717859e-01, 1.813926253638400136259098302138614937264260737638175539416540e-01, -2.613921480306441118856795735210118413900307577511142987337375e-01, -2.714020986078430556604069575184718123763697177381058877113471e-01, 9.212540708241805260646030910734894258577648089100630012130261e-02, 2.235736582420402317149513960822561717689875252792817094811874e-01, -3.303744709428937875006612792463031409461636228731285046551636e-02, -1.640113215318759250156057837165276039181451149292112929401186e-01, 2.028307457564929974897286607551313323418860610791382310375731e-02, 1.122970436181072886950734465075645977754665593869789965874572e-01, -2.112621235622724100704783293549467048999443844657058425212982e-02, -7.020739157490110946204219011957565343899895499962369353294028e-02, 2.176585683449997560776882472168730165799461445156766923497545e-02, 3.849533252256919901057154320407596073180564628069920893870768e-02, -1.852351365015615979794689960740674782817814176166333519597796e-02, -1.753710100303584537915846117408613551147985251726558719415169e-02, 1.275194393152828646243157404474947115052750581861997731041018e-02, 6.031840650024162816289878206037841640814102314209075233751820e-03, -7.075319273706152814194039481466556204493276773483821748740018e-03, -1.134865473356251691289337120013286756337393784110786907825400e-03, 3.122876449818144997419144765125750522437659393621577492535411e-03, -2.465014005163512031940473100375377210862560761576109755841161e-04, -1.061231228886651321139357625683805642193648671030425010215075e-03, 3.194204927099011503676530359692366990929679170022583007683112e-04, 2.567624520078737205563856675376636092314813400664190770435450e-04, -1.500218503490340967673163290447832236259277810659068637402668e-04, -3.378894834120903434270962452674534330903724108906662510305045e-05, 4.426071203109246077621875303440935335701832843654692827539837e-05, -2.635207889249186237209225933170897825432335273771458456888097e-06, -8.347875567854625544366043748844183086765894974439245409223337e-06, 2.397569546840240057403739507525641239509517148980849889986407e-06, 8.147574834779447778085443041422881439860288287528356019216814e-07, -5.339005405209421154584783682848780965053642859373536945701365e-07, 1.853091785633965019353699857864654181728710556702529908304185e-08, 5.417549179539278736503176166323685597634496102979977037271945e-08, -1.399935495437998845130909687361847103274208993447892120341999e-08, -9.472885901812050535221582074673490573092096712822067564903012e-10, 1.050446453696543404071105111096438573423068913105255997908040e-09, -1.932405111313417542192651899622541612314066389643607507706887e-10, 1.250203302351040941433216718217504240541423430995137507404787e-11}; static const TYPE CAT(db24_, TYPE)[48] = { 1.914358009475513695026138336474115599435172088053846745168462e-04, 3.082081714905494436206199424544404720984720556128685270556458e-03, 2.248233994971641072358415157184825628226776692231940577581580e-02, 9.726223583362519663806545734008355914527504417674578571164300e-02, 2.729089160677263268706137134412557268751671263458895098625356e-01, 5.043710408399249919771876890402814109246866444441814540282099e-01, 5.749392210955419968460807901923407033144945935105622912839838e-01, 2.809855532337118833442626085115402941842959475929278883281409e-01, -1.872714068851562376981887159775791469060265778441667840307934e-01, -3.179430789993627375453948489797707550898087789160025182664299e-01, 4.776613684344728187950198323031360866349104994035553200788631e-03, 2.392373887803108551973268291945824822214858134512317715815616e-01, 4.252872964148383258147364472170645232684343235486951540533893e-02, -1.711753513703468896897638515080572393949165942335556397917666e-01, -3.877717357792001620177594726199572688446488033750771020190283e-02, 1.210163034692242362312637311149062286659377039046006801523826e-01, 2.098011370914481534980883827326017063121637262728447783605518e-02, -8.216165420800166702291466006164189460916816748629968198028898e-02, -4.578436241819221637997516339765068825260159169893967894877272e-03, 5.130162003998087915555334881398688958843078494595140394873884e-02, -4.944709428125628299815920032649550811877887219282751174798211e-03, -2.821310709490189098113895361900699228886900995412759197674058e-02, 7.661721881646585897329899904308764405384658404613669817843430e-03, 1.304997087108573583052494067883717533043101857128653233783396e-02, -6.291435370018187780721843581169343900864298634085743861509767e-03, -4.746568786323113800477796959513558401732252800905982385017245e-03, 3.736046178282523345179052160810332868725126356493155728625572e-03, 1.153764936839481504858282495202271984454410046682805375157566e-03, -1.696456818974824394274534636412116243080312601322325642741589e-03, -4.416184856141520063365958900079406737636243682138363561877750e-05, 5.861270593183109933716735450272894035425792347806515678695765e-04, -1.181233237969554740613021227756568966806892308457221016257961e-04, -1.460079817762616838924301818082729036314539476811023255670666e-04, 6.559388639305634085303738560455061974369354538271316071502698e-05, 2.183241460466558363365044032984257709791187640963509380549307e-05, -2.022888292612697682860859987200455702614855595412267510558659e-05, 1.341157750809114719319937553186023660581084151828593222893663e-08, 3.901100338597702610409014129024223853127911530009766793352492e-06, -8.980253143938407724149926669980791166378388013293887718404796e-07, -4.032507756879971624098983247358983425236092110387724315244646e-07, 2.166339653278574639176393978510246335478946697396400359281412e-07, -5.057645419792500308492508924343248979317507866520688417567606e-10, -2.255740388176086107368821674947175804005323153443170526520277e-08, 5.157776789671999638950774266313208715015419699643333784626363e-09, 4.748375824256231118094453549799175824526559994333227456737433e-10, -4.024658644584379774251499574468195118601698713554294941756559e-10, 6.991801157638230974132696433509625934021677793453732225542951e-11, -4.342782503803710247259037552886749457951053124203814185811297e-12}; static const TYPE CAT(db25_, TYPE)[50] = { 1.348029793470188994578489247159356055370460656508881471268611e-04, 2.256959591854779520121391049628056149270016860666661928130747e-03, 1.718674125404015533817186914954848902241194002444696221013131e-02, 7.803586287213267559750659320481403668422052199257139168386084e-02, 2.316935078860218199900621518057089104946216881512075361624214e-01, 4.596834151460945937896973864539659944010260858049947396093277e-01, 5.816368967460577833534892038757085635755639698734580573323031e-01, 3.678850748029466984371319740855532278670733841012809062966976e-01, -9.717464096463814276130048169040892607068486428294030952842447e-02, -3.364730796417461309562110148848845218930261030262170601615289e-01, -8.758761458765466140226687673880006154266689569025041229545538e-02, 2.245378197451017129525176510409543155930843160711989062118482e-01, 1.181552867199598604563067876819931882639429216001523151773895e-01, -1.505602137505796309518094206831433270850173484773520730186277e-01, -9.850861528996022153725952822686729410420350758543226219234795e-02, 1.066338050184779528831274540522414711301747903916268438037723e-01, 6.675216449401860666895983072443984697329752470942906490126865e-02, -7.708411105657419356208567671699032054872853174701595359329826e-02, -3.717396286112250887598137324046870459877639250821705817221557e-02, 5.361790939877949960629041419546536897037332284703545849594129e-02, 1.554260592910229163981295854603203625062268043511894295387375e-02, -3.404232046065334099320628584033729153497903561399447916116575e-02, -3.079836794847036661636693963570288706232460663070983852354326e-03, 1.892280447662762841086581178691039363674755753459524525886478e-02, -1.989425782202736494289461896386235348901617760816745484282494e-03, -8.860702618046368399013064252456556969199612331833605310278698e-03, 2.726936258738495739871469244610042793734119359765762028996059e-03, 3.322707773973191780118197357194829286271392998979276105842863e-03, -1.842484290203331280837780430014195744813667655929909114672154e-03, -8.999774237462950491085382524008429604309720852269895692000702e-04, 8.772581936748274843488806190175921376284150686011179612908221e-04, 1.153212440466300456460181455345639872216326644527860903202733e-04, -3.098800990984697989530544245356271119416614147098459162436317e-04, 3.543714523276059005284289830559259809540337561365927850248007e-05, 7.904640003965528255137496303166001735463107762646364003487560e-05, -2.733048119960041746353244004225286857636045649642652816856524e-05, -1.277195293199783804144903848434605690990373526086311486716394e-05, 8.990661393062588905369930197413951232059323587543226269327396e-06, 5.232827708153076417963912065899772684403904504491727061662335e-07, -1.779201332653634562565948556039009149458987774189389221295909e-06, 3.212037518862519094895005816661093988294166712919881121802831e-07, 1.922806790142371601278104244711267420759978799176017569693322e-07, -8.656941732278507163388031517930974947984281611717187862530250e-08, -2.611598556111770864259843089151782206922842627174274274741722e-09, 9.279224480081372372250073354726511359667401736947170444723772e-09, -1.880415755062155537197782595740975189878162661203102565611681e-09, -2.228474910228168899314793352064795957306403503495743572518755e-10, 1.535901570162657197021927739530721955859277615795931442682785e-10, -2.527625163465644811048864286169758128142169484216932624854015e-11, 1.509692082823910867903367712096001664979004526477422347957324e-12}; static const TYPE CAT(db26_, TYPE)[52] = { 9.493795750710592117802731381148054398461637804818126397577999e-05, 1.650520233532988247022384885622071050555268137055829216839523e-03, 1.309755429255850082057770240106799154079932963479202407364818e-02, 6.227474402514960484193581705107415937690538641013309745983962e-02, 1.950394387167700994245891508369324694703820522489789125908612e-01, 4.132929622783563686116108686666547082846741228042232731476147e-01, 5.736690430342222603195557147853022060758392664086633396520345e-01, 4.391583117891662321931477565794105633815363384084590559889493e-01, 1.774076780986685727823533562031556893226571319881417676492595e-03, -3.263845936917800216385340830055349953447745005769416287177497e-01, -1.748399612893925042664835683606584215248582345438816346170042e-01, 1.812918323111226960705459766025430918716233584167982942044424e-01, 1.827554095896723746537533832033286839689931924709760567945595e-01, -1.043239002859270439148009137202747658420968144330108510179290e-01, -1.479771932752544935782314546369458188243947772922980064071205e-01, 6.982318611329236513756591683950208955110603212379412334701145e-02, 1.064824052498086303236593797715344405836015002929319291715777e-01, -5.344856168148319149493577269390074213960237013099439431132086e-02, -6.865475960403591525454725258715351280947435823354011140858001e-02, 4.223218579637203541206570902753288247790857760067894456114927e-02, 3.853571597111186425832144567362328142994885395255438867968781e-02, -3.137811036306775484244644776337594435094096964336402798072360e-02, -1.776090356835818354094298625884058170354129044259951019182732e-02, 2.073492017996382475887790073068984224515077665517103399898854e-02, 5.829580555318887971939315747596613038479561943085291072787359e-03, -1.178549790619302893728624468402138072504226527540325463847390e-02, -5.287383992626814439198630765217969804966319971038003993984480e-04, 5.601947239423804853206514239940474788977188460452053462770324e-03, -9.390582504738289646165698675070641765810790863514339205205998e-04, -2.145530281567620980305401403432221668847980295600748913748902e-03, 8.383488056543616046381924054554052104937784379435436426690560e-04, 6.161382204574344193703789012696411561214682388271673214197731e-04, -4.319557074261807466712901913481943478521991611607433971794602e-04, -1.060574748283803889966150803551837402553866816191659959347053e-04, 1.574795238607493590547765666590811258087715699737771458390360e-04, -5.277795493037868976293566636015627609248847457646525246271036e-06, -4.109673996391477816326502438997466532822639385119090230965252e-05, 1.074221540872195031273584409245060623104931330938273936484593e-05, 7.000078682964986734859102495210684809643657474253921074934684e-06, -3.887400161856795187587790410706550576033603097954065074023128e-06, -4.650463220640262639231145944536092973446596027469833860001618e-07, 7.939210633709952088373459255067360793370284788682979065122810e-07, -1.079004237578671411922961583845716126060658213943840375162654e-07, -8.904466370168590769052983362721567202750591914741016835071257e-08, 3.407795621290730008673832107214820587991557116806912418558069e-08, 2.169328259850323106986222296525930099935873861026310788086221e-09, -3.776010478532324328184043667556576385639846460337894963138621e-09, 6.780047245828636668305808192607091517605349478677442468580825e-10, 1.002303191046526913509281844136258004034177309673269533418644e-10, -5.840408185341171468465492447799819262905317576847426970757700e-11, 9.130510016371796243923232926650252570239054815939483900056681e-12, -5.251871224244435037810503452564279828539007071678724285717464e-13}; static const TYPE CAT(db27_, TYPE)[54] = { 6.687131385431931734918880680779563307675740731544063787599480e-05, 1.205531231673213234251999812212394463872002561229330125152073e-03, 9.952588780876619771874091297340545740163119816300838847749336e-03, 4.945259998290488004302995584228917712171023349013386944893643e-02, 1.629220275023933206396286389387812803673796872000118325233533e-01, 3.671102141253898226423388094379126394383458407087000700420400e-01, 5.538498609904800487605460395549044755068663194750017660900436e-01, 4.934061226779989979265447084358038959373468583404767251300717e-01, 1.028408550618229112710739475157388764479351682549490307668477e-01, -2.897168033145948463175311101489473923261698802610323264603418e-01, -2.482645819032605667810198368127693701263349361209208170092197e-01, 1.148230195177853576326445213787661879970642975306605349249036e-01, 2.272732884141708265275037216925482827043581894357907763081103e-01, -3.878641863180231062443346843661817078060143110529946543683356e-02, -1.780317409590085821070366277249759321269342801053489323888575e-01, 1.579939746024048431173907799261019471878724997312653292884660e-02, 1.311979717171553289711406975836688896451835867594492827800969e-01, -1.406275155580876537026622167053147161846397735962817855782362e-02, -9.102290652956591798241345515773322449830692586525337562864481e-02, 1.731101826549371089085675445961947677452358872325373949295769e-02, 5.796940573471798814748840657698008349462526768238833307489106e-02, -1.851249356199807710545837861298826718763077900221574749342712e-02, -3.273906663102087145481936428049519742538150452785563039743756e-02, 1.614696692239566682272152627542980896527822528487665111124260e-02, 1.566559564892457873003263983940819950829497022298967052103291e-02, -1.157718645897628140054089958116866381056430680879332334217267e-02, -5.862096345462925972966025215266179082657169806555503857975278e-03, 6.856635609684880675273184141746359000591385833807880272568038e-03, 1.342626877303679609082208800217479591902967766971379107017011e-03, -3.332854469520006162763300141047111065412307706449049389557931e-03, 1.457529625931728587128588244152604734177322144376309490881599e-04, 1.301177450244135139135787970279897042994109161268159963884641e-03, -3.418351226915427611946547437228006377896519777431057005796358e-04, -3.879018574101327604369144470124819695479087900682219330965466e-04, 2.019719879690326857104208791272390315160018069955787875123234e-04, 7.660058387068576876674274961751262847965101108848090019821555e-05, -7.711145517797584208411720507329584053382646435270054267102827e-05, -3.517483614907445391752737841583832374184046409747387149129674e-06, 2.063442647736885318487206413360228908558806028468062177953960e-05, -3.901164070638425528170558032557368703418425915665413541985623e-06, -3.657500908187104997045760131046655906827644494899206692043298e-06, 1.634369624725637835424610743915128591988676092276368687669255e-06, 3.050880686251999094242671997731089918322345713516567387655763e-07, -3.472468147394389269364673179891460601330730511237974736379548e-07, 3.286558968055159530983261866450459360074591641809187825408848e-08, 4.026255052866908637178682747490340533992340623231336911661711e-08, -1.321332273990056558848617809101876846857728483295631388083263e-08, -1.309465606856955151282041809232358209226373823424148862843577e-09, 1.521614984778521740775073159445241799352681846880808663329946e-09, -2.415526928011130660506395791946234018673860470542996426005750e-10, -4.374986224293654395069947682013996351823060759948583134078918e-11, 2.213662088067662485181472969374945928903854605356443772873438e-11, -3.295790122476585807069953975043096139541415768606924980926275e-12, 1.828188352882424933624530026056448539377272017834175009418822e-13}; static const TYPE CAT(db28_, TYPE)[56] = { 4.710807775014051101066545468288837625869263629358873937759173e-05, 8.794985159843870273564636742144073059158975665525081816488582e-04, 7.542650377646859177160195786201116927568410621050693986450538e-03, 3.909260811540534426092083794403768111329778710541126982205076e-02, 1.351379142536410450770749411679708279921694061092200363031937e-01, 3.225633612855224257318486139030596702170126503618082416187649e-01, 5.249982316303355562348293243640252929543774162151269406404636e-01, 5.305162934414858075256978195354516449402692654391295761050628e-01, 2.001761440459844380384404537971725815970574972480152145882083e-01, -2.304989540475825257279397658067038304888129374484095837624889e-01, -3.013278095326417816909366061441334075444383937588485826752087e-01, 3.285787916338710468450547883547348694255260871071954509422161e-02, 2.458081513737595535752949960866466132239832334168533456626848e-01, 3.690688531571127205290633425993077868843846977265847006108551e-02, -1.828773307329849166920408764650763092868965221608724574218473e-01, -4.683823374455167616514752420549419665215987106243491879971921e-02, 1.346275679102260877490923315484152662987698625205479167761416e-01, 3.447863127509970524678534595639646616244376966117385829345554e-02, -9.768535580565244174963692133038973587005628990493154911133358e-02, -1.734192283130589908795581592406238282930530566316914040035812e-02, 6.774789550190933956165341752699717255041141690153626336867769e-02, 3.448018955540951137600471926079622335842207388713342609755316e-03, -4.333336861608628393863254980828284403766309203453808666888800e-02, 4.431732910062988320487418656322338284504389482966303454010563e-03, 2.468806001015186586264188361362046240243934625858343309818244e-02, -6.815549764552309639259447104811254179605050667281644254737890e-03, -1.206359196821849005842466619530619474644989878503490321948471e-02, 5.838816627748944864497370576838809711476027837762897602935327e-03, 4.784863112454241718009916669120329848973107781600157214960003e-03, -3.725461247074254799171427871442937099025589672466088044410521e-03, -1.360373845639692436577650137133777929659265166644839235882291e-03, 1.875998668202795626152766912508562385106168761893900192731562e-03, 1.415672393140464257573780581396205840941849282748250523509874e-04, -7.486749559114629991320679819683227355746847370960399216568306e-04, 1.154656063658921251969297916771881248142872975490882572741198e-04, 2.295790982233456202366621544054366855729175050420515776344878e-04, -8.903901490044488099517361247378396756893227855233897357882978e-05, -4.907713416190250858324783990436748073854807494400738311968278e-05, 3.641401211050802781223450761733180188911730291497201507086247e-05, 4.638664981394294654002871426476885751050837817671843706915388e-06, -1.004326041333422601781848560432120920634648692782357855473103e-05, 1.247900317574834146052381692752796047052443265982232422642017e-06, 1.840363734517769191684379309039277810350620305330900536404818e-06, -6.670215479954892588747450458085225880096882699397256774967304e-07, -1.757461173209842779903676264971918635870906983281392939812547e-07, 1.490660013535362170989340065033061951960933954388633507264360e-07, -8.262387315626556965966429243600984899650039704831080988658278e-09, -1.784138690875710077191713941441263246560738410213624546116655e-08, 5.044047056383436444631252840057862002264087720676808580373667e-09, 6.944540328946226952976704718677697525410051405055662575530111e-10, -6.077041247229010224760245305596307803830053533836849384680534e-10, 8.492220011056382105461206077240377024404404638947591299761197e-11, 1.867367263783390418963879146175452376940453585791428841004699e-11, -8.365490471258800799349289794397908900767054085216008197372193e-12, 1.188850533405901520842321749021089497203940688882364518455403e-12, -6.367772354714857335632692092267254266368934590973693820942617e-14}; static const TYPE CAT(db29_, TYPE)[58] = { 3.318966279841524761813546359818075441349169975922439988843475e-05, 6.409516803044434540833706729120596322083061716935004987374676e-04, 5.702126517773375434760843998623507494914551464968126455168657e-03, 3.077358022140837676716707336516751814713312018344719150923618e-02, 1.113701169517405304762186166370327770191325772342190715118617e-01, 2.806534559709829376968881262770480606500920092398534229615289e-01, 4.897588047621993143592705932993573539235839610055331620240518e-01, 5.513744327583751951223746071670135992466984391233429663886536e-01, 2.891052383358291634605691113586264061513180158354460952469246e-01, -1.540287344599000542466293779503370141731339982919280951230240e-01, -3.300409489175880520295083779487012611959310539629627124613719e-01, -5.570680007294085781514541931715795784309410235726214400350351e-02, 2.361052361530259415983110734054626770649468357328362426830433e-01, 1.124191748731883764769740670535880543076817816861518667898467e-01, -1.608779885941877360771615465531852333085159940159968393590303e-01, -1.078459499387214201077881957354707913786241153934264316589273e-01, 1.144722958938182579734135930060053286267822797640393386903440e-01, 8.322074716244975790297348835032537357891920536002627784941129e-02, -8.512549261563550232832311331420804581881235448862834507281486e-02, -5.502748952532572320924541450626650067707344725344841099873446e-02, 6.347916458421186633577789314698972361081611994794140119302163e-02, 3.053154327270413646637328212093941030592133225231728964047047e-02, -4.518798127778834515979704475304405691390090327474972089790857e-02, -1.291714255426679462966473962555410660387671182428076570686472e-02, 2.947043187174764111028122319949903667638786379520519899154373e-02, 2.648327307678167915542397563479749119673768286990136051577167e-03, -1.704122457360668969234196743407615179099529206118693044741086e-02, 1.737880332720511164430027824345354801611373419264590068097416e-03, 8.469725493560752287772961661104710791306496373354237126998903e-03, -2.550807127789472659145072247724735637183590942511858255354005e-03, -3.473798989681100630649790255076233970957721666820195620598374e-03, 1.877120925723650133179338154344873477230567340668548016358682e-03, 1.087053942226062966738944397844498417945523630053411148182206e-03, -1.000778327085680541055696707760062870925897014530348262794137e-03, -2.000711363076779808296301110796026470163110202848894744316755e-04, 4.111283454742767033424740543004041500054889660665367490129376e-04, -2.292018041214499897382298271438084577065170236103859181134525e-05, -1.293044840080720609161466939678226852440475312744714379499074e-04, 3.645026068562774967665464216602750761690984830805534178557146e-05, 2.913344750169041218495787251929571015775436967652945386217480e-05, -1.657328395306616289863396387854880512976861409870690029695161e-05, -3.593644804025187638066915189731950450034629392522542962477168e-06, 4.750609246452552850197117564759363194953518317428400241629683e-06, -3.029054592052818286474228294307141792053791695855058563299597e-07, -8.975701750636280734511651941681818767895052287332471537510510e-07, 2.633898386997696553900967704111473475368019612368922599394214e-07, 9.387197411095863026484410601284876812292554863800653292318725e-08, -6.286156922010786166768503252870590953166867739448102804392389e-08, 1.076591906619196137385201975028785139607670319821266803566785e-09, 7.768978854770062238895964639391324551611701293594055935346266e-09, -1.893995386171984147774611076618946011337498790609031626697228e-09, -3.426800863263089001811012278889864200550342566386405676893537e-10, 2.407099453509342962399811991929330725186626582891090462239366e-10, -2.940589250764532582888473974638273664244682541297835986306504e-11, -7.832509733627817032356556582819494794884131433810848844709881e-12, 3.152762413370310423797539876893861621418382024668704492620948e-12, -4.285654870068344101898185073376307686875386259541180967347399e-13, 2.219191311588302960934661700068023727737812918006011019184982e-14}; static const TYPE CAT(db30_, TYPE)[60] = { 2.338616172731421471474407279894891960011661146356580425400538e-05, 4.666379504285509336662000111055365140848987563882199035322085e-04, 4.300797165048069510045016757402827408493482974782286966500398e-03, 2.413083267158837895194919987958311943976725005113561262334092e-02, 9.123830406701570679321575555085899708564500191080751595642650e-02, 2.420206709402140994467599658342919512318194032687898436229538e-01, 4.504878218533178366981351802898336415314944375740699506554771e-01, 5.575722329128364304078082520999850413492571645754785374629734e-01, 3.662426833716279793144871151369089533016299234992584741629624e-01, -6.618367077593731501909741041813726474911212544474895441395148e-02, -3.329669750208556069196849320598850505877494561268613506392514e-01, -1.419685133300829310219026267403758254954270602825020111483505e-01, 1.994621215806643032428990062111230223523226088131364328774921e-01, 1.778298732448367361280250921330425046260289700971176750362566e-01, -1.145582194327077814891518778613672243404957549114393749173137e-01, -1.572368179599938126878197378886501553251711910617673398124611e-01, 7.277865897036442699893544326605244235248713804556715604416632e-02, 1.227477460450093778691578797698150091624353365248212907325446e-01, -5.380646545825707676022015051837304300338645984615639237930800e-02, -8.765869003638366048026572053699028353846982304851342479893827e-02, 4.380166467141773250305407710250135373016604593736480428415303e-02, 5.671236574473569492590636983030617493807140224924978946302257e-02, -3.567339749675960965780819743176056734137251336781389369397564e-02, -3.226375891935220815954913483392725682165778426411705216010280e-02, 2.707861959529418272206848318420006522973840949600186710327776e-02, 1.528796076985739546052896626042375110302102640936712142026221e-02, -1.839974386811734118728169880549148389603890445324127330811811e-02, -5.296859666131086629169938675330494864053932988161015674773617e-03, 1.091563165830488927536881480211929049886878831313700460017968e-02, 6.196717564977244383592534999284255315694546230739551683085460e-04, -5.530730148192003288871383856487027893918513053091795443517653e-03, 8.433845866620933982126003584365932145598126087481400294999080e-04, 2.324520094060099304385756339638431339131122661576649123053845e-03, -8.609276968110423879660725173525347077801305237644122054954659e-04, -7.678782504380918697963922441514742758516706160788123977340073e-04, 5.050948239033467796256544554086554367969638627715114003635557e-04, 1.724825842351709725545759714374272164367933578194910678479473e-04, -2.161718301169633804271038862087964094429005266172702380483361e-04, -8.548305467584070994787824796256108217987765582429940610377190e-06, 6.982008370808327851082027193100914402221658444151889697045071e-05, -1.339716863293971629296314599448901465078920406443516550195793e-05, -1.636152478725426488654528710478856195004608401773950511915162e-05, 7.252145535890469015723401169934327900622894130695550273452916e-06, 2.327549098493686509557358103785598216688723737824121617676858e-06, -2.187267676996166416699555236143059249832615777542412142603694e-06, 1.099474338526203304286307383463498542376432972308342428764576e-08, 4.261662326011572446469849114416378817419458434583398455985144e-07, -1.000414682354500898864979332965559934104686157639553850670490e-07, -4.764379965139453357729154748688006975561934425368712852985388e-08, 2.605442754977625431940885841950955928085338672381046225838880e-08, 5.553397861397053982967618072672572206490972606026556946910028e-10, -3.331105680467578245901976412732595596538702049437802824373020e-09, 6.984862691832182584221096665570313611280449991512869846064780e-10, 1.613622978270904360610418704685783656905979134344922647926295e-10, -9.461387997276802120884525814092001871993910062127702293573920e-11, 1.000105131393171192746337860330428369495110180346654025287492e-11, 3.239428638532286114355931428908079297696045600279108835760520e-12, -1.185237592101582328254231496310584611948560976394420324137742e-12, 1.543997570847620046003616417646988780670333040868954794039905e-13, -7.737942630954405708679963277418806436871098329050829841696327e-15}; static const TYPE CAT(db31_, TYPE)[62] = { 1.648013386456140748122177817418358316441195236228590958603489e-05, 3.394122037769956699157160165352942212213928231154233571163033e-04, 3.236884068627721221829662672296912258338131668810067169630813e-03, 1.885369161298591269159568944275763468999829139547989648553486e-02, 7.433609301164788697908776495388047669378919816041031344650271e-02, 2.070128744852353286198055444111916450619762837756134323019573e-01, 4.091922000374278563928213235836188963704298775635493549519369e-01, 5.511398409142754983590484577074663132074992263886810324421617e-01, 4.294688082061372955430413148799008354573408538414331312236645e-01, 2.716921249736946422305354732634261873401679092095992827198308e-02, -3.109551183195075186926560285811004715398678229333522634202008e-01, -2.179784855235633521693544507220105631639547435903112747133934e-01, 1.401782887652732681656253206993073895422881511380152633441096e-01, 2.249667114737370933697297905066886078307490136415302624018330e-01, -4.992634916046823977000579399730138693074543903234092797936484e-02, -1.869623608957154494374577196258383009208655076187653847079167e-01, 1.543698842948893409652995335281236231845293548571166883219023e-02, 1.450895009319931981518942907854879059128872873116921504156674e-01, -8.139832273469236863527708715566588550006680549152344840146851e-03, -1.076127733234956326668605511648013952380301953590447106075614e-01, 1.094129745236496925725237900637802669504835743555466811796369e-02, 7.535361174328140695528289751109133941376701984419452638686226e-02, -1.488002661810482202699555987503429289100801979910046913257306e-02, -4.861907546485433003537603385831190109391263542044516048871113e-02, 1.615417156598591113619453864586701665635869166193865651960591e-02, 2.804761936675616906861927211659154977049392281479113764697785e-02, -1.427627527776351943309800140756746087215016194775579070599004e-02, -1.390055293926652880755898888934447671732373519028670201124816e-02, 1.051763948737184089128633441244991643331033825102031908858652e-02, 5.516163573310992566561289762241160214476622662764637181816550e-03, -6.520852375874612553325469682628530079210293774541131381751695e-03, -1.428264223218909891400516038687842292177211292295049238921068e-03, 3.393066776715931928419358796960612411097347419792355896915546e-03, -6.397901106014600492881202314307290077992972755016494062875201e-05, -1.459041741985160943114515221598080223845239255190055621901681e-03, 3.431398296904734438118401084929505912208229684629857530009147e-04, 4.998816175637222614896912406679513231966722440032799024979502e-04, -2.396583469402949615285646688069476140260781708006174912535660e-04, -1.243411617250228669409179807383399199879641177993453588807726e-04, 1.089584350416766882738651833752634206358441308880869184416670e-04, 1.501335727444532997071651937630983442758297688087711521441229e-05, -3.631255157860086164261313773172162991107348698083164489165837e-05, 4.034520235184278839752741499546098778993926344831736074409765e-06, 8.795301342692987765440618030678349427367022581211855857458220e-06, -3.035142365891509630069007852947057220760887215249503512783023e-06, -1.369060230942940782050489751987123955074404782177163471279285e-06, 9.810015422044371573950976088058064384946146188110905321673802e-07, 5.327250656974915426977440959783080593776012130063170688309127e-08, -1.975925129170206248152121156696590501303803187231928513867046e-07, 3.616826517331004805247567218405798591329788122337274956172315e-08, 2.328309713821409644308538888589329921141948539678106680777082e-08, -1.061529602150252306500404266150823962402673780484965538270541e-08, -6.474311687959861398702581539341954438747926255671605657095807e-10, 1.408568151025177427076547804944585301332087108125727813194374e-09, -2.524043954153353306183643702933218308617979467184848456565837e-10, -7.348930032486263904766913919653624379586487437915175106407348e-11, 3.692108808871129411604189196259677640440919369478263728899602e-11, -3.327008967125979929910636246337150851642079794871116041187279e-12, -1.324334917243963163878274345609465717294426628053460151843705e-12, 4.445467096291932163298411852093011459626037560439178917611592e-13, -5.559442050579014337641375730083534521513818164827556763756543e-14, 2.699382879762665647295493928801387173921314576598505507855504e-15}; static const TYPE CAT(db32_, TYPE)[64] = { 1.161463302135014885567464100760659332951431420121048996305591e-05, 2.466566906380903352739104211274667134470169443886449124673996e-04, 2.431261919572266100780423071905958127811969678055971488060574e-03, 1.468104638141913563547809006402194831107662001343421893488086e-02, 6.025749912033537081745451975527967031851677384078997261920024e-02, 1.757507836394388988189299915753348505208376399651864661397588e-01, 3.675096285973496361995340339143234125206079560406868595968025e-01, 5.343179193409538322901117858552186425529774700290587495921679e-01, 4.778091637339484033555130814414794130354053753675509287934741e-01, 1.206305382656178269538098710665261299391507308342013788891222e-01, -2.666981814766755535489784087869865024226542605534080371507405e-01, -2.774215815584272153338153320303401666681294506143291967655666e-01, 6.471335480551623831000090095167664918448659157720155321560811e-02, 2.483106423568801736064852157222867588791898170114101300999760e-01, 2.466244483969740441701479334808723214802614938081258920635302e-02, -1.921023447085468984341365278247990525863123891147783426068990e-01, -4.899511718467173853355943225576377418394280156945986899417475e-02, 1.452320794752866460838830744051944832326998342053148426312341e-01, 4.440490819993974022640619534046603571086531544468421519143629e-02, -1.094561131160893831027722774343269232755171130623890041619420e-01, -2.962787250844770491204452379051215505049068645551070779367843e-02, 8.087414063848395744090831590426327690818854671836423275412813e-02, 1.410615151610660772869738802931740150275269382463799031013905e-02, -5.692631406247843550478416271158537960555270097953330567652364e-02, -2.380264464932573834443178362086503847328134994591954135879789e-03, 3.705145792354468010437633458013030898015496905609424004450953e-02, -4.145907660827218781460700428862611061267328108653649653634276e-03, -2.166282283639119347634778516947485598599029367518033869601702e-02, 6.167527310685675112579059689520105004744367282412921739811164e-03, 1.101740071540688116532806119564345712473051769079712407908648e-02, -5.411568257275791208581502410752383050600045942275647685361370e-03, -4.649216751184411528658094984504900172989190128905887602541396e-03, 3.627224640687864960122122984391704782343548385375321260251988e-03, 1.468955100468467772528811782840480639166582822577191079260543e-03, -1.964740555821778254183647540656746450092725858126595984907304e-03, -2.211678729579097916278097586914956834196749138610403102772710e-04, 8.673058518450555343925662389563539890596549655683386287799624e-04, -1.024537310607396186949656796812972062290796122915930356634122e-04, -3.059654423826911750479261161552574500739091332121504634422577e-04, 1.053915461739828114700905192091104141076083602686374410146603e-04, 8.103678329134838389828091896334156224227821362491626044950428e-05, -5.259809282684322782648914338377962890245975842272425408122506e-05, -1.294045779405512723950480259110995722517019870286295908085366e-05, 1.824268401980691220603850117995712615809177092802967489081228e-05, -6.361781532260254953363913076575914206506177493714496098327288e-07, -4.558309576264423135123964145585288808181431652781253437738445e-06, 1.202889036321620990296134494079846952404216422923750605507047e-06, 7.560047625595947819392627283726711361273296630256477108501994e-07, -4.285970693151457255418342315045357407199066350632593899896712e-07, -5.003361868748230293692887222336390314786090450819216035110269e-08, 8.965966311957728376981484572655177545054433542721057470726361e-08, -1.219924359483373093110396748985081720383992859961285213840740e-08, -1.104383021722648979552131128575075255513372249283096583736746e-08, 4.250422311980592983740943309197245384991941251563471671065543e-09, 4.384387799940474369553236949848427579687147486892033587998023e-10, -5.881091462634605628881794361152305108432139465417759716875076e-10, 8.904723796221605490455387579189371137903330749397374037644960e-11, 3.263270741332907875981844980104948375955551273115386408552080e-11, -1.430918765169202320188022211739750594608742928641485026836608e-11, 1.075610653501062115165734990153347111902874668945095034791947e-12, 5.361482229611801638107331379599434078296259332654994508124989e-13, -1.663800489433402369889818192962259823988673359967722467427927e-13, 2.000715303810524954375796020597627467104635766752154321244151e-14, -9.421019139535078421314655362291088223782497046057523323473331e-16}; static const TYPE CAT(db33_, TYPE)[66] = { 8.186358314175091939858945975190102731733968885547217619434602e-06, 1.791016153702791479424389068736094134247294413108336017758506e-04, 1.822709435164084208084617771787691709255513374281497713580568e-03, 1.139594337458160925830840619716397130445853638888472948832932e-02, 4.861466653171619508385707681587366397164931431125053574327899e-02, 1.481863131800528081784673514426737436792606299953305691300616e-01, 3.267181301177075783930752787756046348844272437670999719562429e-01, 5.093761725149396552227892926384090200953139820961482931291482e-01, 5.112547705832674655425831875568453973369927971748064975152374e-01, 2.095823507130554216526494469993023406452629154801126958766008e-01, -2.042026223985421049629055102642279430174095014493415546881477e-01, -3.159974107665602561905181464284910961862968513875028980451424e-01, -1.927833943695275915600583425408664108893845271616240406358226e-02, 2.454206121192791114179964351253140999836791489738418857473689e-01, 9.985155868033815698139640215477639365289384281516885362929979e-02, -1.714280990518593279308738113273443832545615219650436927029674e-01, -1.108441331167107910806084983056783194189909198734302929909672e-01, 1.219678564037346149389134584371009777591763921148126952722200e-01, 9.478808805061595889263191779090571160237408179346345390888721e-02, -9.114696835133148913093153757138373418923462847746880902676089e-02, -7.030248505405615921453280814171665167171986608963193275084895e-02, 7.019114394099653254998935842432841393915841096633514680190145e-02, 4.573456189389667743139040427641638967843459421665709740086516e-02, -5.347125133582228919431110824663168583260050383336359554980188e-02, -2.524858297747649929258392207837724793937727346177294684700378e-02, 3.868706076024496481748675031852528047303323816250150793091832e-02, 1.070326582001954942654534968137727769698168853186071888736311e-02, -2.572876175473297336123211392278301875687760837710204579628265e-02, -2.167758617353607324783298657172830203896433848418061622436727e-03, 1.531695411585766548347442266431874060229304787191589430967538e-02, -1.594288782414604768637856446111392724059836934455189837500244e-03, -7.953540387057939240459305406538116220678495240302592677582773e-03, 2.389062408165908575935815973439728988151836094753689966108405e-03, 3.480800953405711999411461002429227385937942254778524257436278e-03, -1.860718214455795912074482150710567824317228203897000129729967e-03, -1.204309257604658876916644980097327372892008586047095719636829e-03, 1.074380696351291355073899234941719080473877020595209197706651e-03, 2.727305847336937211749282358350196461733595290569540045817329e-04, -4.908329007590351474487792254066540683724948757382104652497458e-04, 4.393166251766185755059005296958129844094063524324718175254673e-06, 1.780431898251245351831728023200069586928513661382622116969992e-04, -4.160438516273709306234368807933932360567787692918883118883736e-05, -4.929564423417301834310231482621574127409950921583062559483686e-05, 2.423335398816890365621188379922041046073808819182024026589770e-05, 9.070805757828453800203677464921508178468256685438211818575040e-06, -8.866121366757736169176034432364298134186929098274651022820760e-06, -3.607516102879771631230351118595069330196155459105589342866625e-07, 2.288371276141527305481395545993763010565968667577768164201792e-06, -4.426923407952870147984002129341809185622768353983550670755106e-07, -3.985791291985944076942626511739220753169387460984290019185514e-07, 1.822443332571053437467128998002798233969112236553215291639303e-07, 3.377972703730854377516206663481869099376154259897212784144779e-08, -3.987838198518880722819502850814936369197384392561970319349663e-08, 3.672863576838181340505563759379169099717712645283448779390320e-09, 5.111211857347453839549366593998758891130921028374576213256027e-09, -1.671392677251932495173219614104411841891545601521784559793012e-09, -2.496402105246193648073519269370197331176405371538404298745013e-10, 2.426833102305682309891302883361232297664099485514601790344279e-10, -3.049574453945863430361296931455141500128170151643206937547928e-11, -1.420236859889936792437077844940412749343225644487770840543290e-11, 5.509414720765524548752673631197714447818740985929081064907524e-12, -3.343481218953278765982532722689984725170758193566174566492199e-13, -2.152488386833302618520603545685994753329478275805993737095214e-13, 6.214740247174398315576214699577230693021307854673557214652751e-14, -7.196510545363322414033654470779070592316600780697558361083151e-15, 3.289373678416306368625564108782095644036415401902518812978798e-16}; static const TYPE CAT(db34_, TYPE)[68] = { 5.770510632730285627466067796809329117324708919047900817738025e-06, 1.299476200679530037833484815390569400369432658207722720405084e-04, 1.364061390059049998200014449396877439591680435610837369411339e-03, 8.819889403884978803182764563095879335330977939541630862804757e-03, 3.904884135178594138905026219591569204043816577941517019631916e-02, 1.241524821113768081954449898210969172708199672428635378051285e-01, 2.877650592337145629334256618087718872558560120999651277991839e-01, 4.784787462793710621468610706120519466268010329031345843336104e-01, 5.305550996564631773133260223990794445605699030503652382795600e-01, 2.903663295072749510455945186199530115755664977934564128822650e-01, -1.282468421744371672912377747048558427612774932943748628650824e-01, -3.315253015083869417715548463087537345035828886426345397256876e-01, -1.038919155156404718287260506925867970596448618647006698388596e-01, 2.169072201874275950610018667099322465619408030256534197819784e-01, 1.666017504122074437311574334509261366682993700573488534577890e-01, -1.273373582238011562843862636988693890108793629966541695807247e-01, -1.609249271778668063014799490429649196614628857267382976958607e-01, 7.799184693794810738265349531832015087096882277333968473726399e-02, 1.341259602711361284802399913977387999358280900708582462625539e-01, -5.448296806413904636632671383140642554265865948686157271017286e-02, -1.029475969928140852342073823689090498245496056845473569066667e-01, 4.357609464963129726428486610925800727137724136370669421246609e-02, 7.318523543679560555546221335452045680757998947493883124934567e-02, -3.701283841786244960356402125554190040750079009127461655784927e-02, -4.743855964527776247220681410983851377889756018716427358008296e-02, 3.073974657395934459931226513844134346305562928466993208164603e-02, 2.722835075635419610095839895805858855202745897718117731496534e-02, -2.367173792282636485046786438094940427456079528043555566867110e-02, -1.314398001665716086105827506126287041342680578404007359439612e-02, 1.640937419986519252112261495537409592363156309874473310057471e-02, 4.713649260999809905918876125437488856235874027077755004539205e-03, -1.004550670836151917439146861146431000364858401181337134891421e-02, -6.194748845153872839014356621835501857322345445234809347431098e-04, 5.334950768759936032170270195983921511565539100791906952901398e-03, -7.692127975067836975989490900561029844887285335804349474993607e-04, -2.399453943537055863933124827688081952701780599883067560501870e-03, 8.589959874363661955444898475746536583497522107459291718900058e-04, 8.751999064078688732610570055224339733760304773327228476255647e-04, -5.527355762144197975516415296735124460550632283763688359649888e-04, -2.326732140233531635428863212833942245597361085708567528230733e-04, 2.650772397558057819755811309071002543822145660933016957735937e-04, 2.660050018453441903046828468025589086403126180798464347801678e-05, -9.914697770780134603580350758869378471802751837608461971022567e-05, 1.353117227249649581251887376414486225127346352042209141315562e-05, 2.844951419697807376503080001943765930601242225183893658540032e-05, -1.057657494257950623848316304755218120233253479317574337409622e-05, -5.710826510998303938275050074333400305512451419983646591762318e-06, 4.169871758547028398316761659984928804362023643629741358799744e-06, 4.979718101421307748081857636471761057429219265531618602960147e-07, -1.116306534817008428597995070751765080383261658112656948526954e-06, 1.448195708333185127061180618150009526758658641231104901703561e-07, 2.025990666667859216690536885693725545344933235432307649205497e-07, -7.526701740412589411177481797841044281662555785969415398369019e-08, -1.990346501531736915866180448337614967570744211158241514589121e-08, 1.740423332936068076497051274445147160190783847854409836489662e-08, -8.665744261368722215864741166245385888818567571145958531936939e-10, -2.316501946995482751582294240136010067415084499025753117941001e-09, 6.446378210323402313101214894500231181606520211579581132442548e-10, 1.300410318609415248880403259300467720631189120978928377152233e-10, -9.904774537632409015479530333979124540183199174591377762845227e-11, 1.004208735461769864836516428998306778031143650101842361622330e-11, 6.080125354000167254059025929915591291115751734288584563131636e-12, -2.107879108915301546285370395443778864676275235126044599683271e-12, 9.799451158211597727901178520526388692140586041163624252991805e-14, 8.579194051799733179793112298652600511486581216528683482143106e-14, -2.317083703906408481078257081903089523234020423092175261925515e-14, 2.587338381935699555813538163144986688834142571207152879144731e-15, -1.148944754480590128244815794312606245147888158018823490936280e-16}; static const TYPE CAT(db35_, TYPE)[70] = { 4.067934061148559026665247110206084571051201477121972612218005e-06, 9.421469475576740631603027533116630224451049736050903361458759e-05, 1.019122680375098109319314672751485080202557607467199213778085e-03, 6.807292884319132011971333979015625113494050642797397817625326e-03, 3.123628851149071453063391210769353068187088999495893257051179e-02, 1.034044558614783789938787754929279183985553322796063517049140e-01, 2.513073789944933128513251971488905042866779761014740192816902e-01, 4.435927392240354378183910489448494594782039032807956294826105e-01, 5.370084275091661028670690231716974547580034932361053607723887e-01, 3.603456405180473278744458573988718422538114217890792270621563e-01, -4.388388187393404111343479394097224312100349011932028865098625e-02, -3.238228649121161212147302807993176715625480327235512530593160e-01, -1.817869767667278325788350264528191676841493369460849123538616e-01, 1.660413574907809195438433327470947940538097914525298064477785e-01, 2.172992893210892977675493456199559114036326358517672106972956e-01, -6.526287131067753892154895911331108284007380738865652420304233e-02, -1.919195892985939528760786800798636198516495957924798820500876e-01, 1.930954466601835091947734585938109944647435243484967057775110e-02, 1.552924803962371144206753760712566993987319378965231186477630e-01, -4.752680834111350445288110998030979143710864689041902167119118e-03, -1.205855226433935545076589480704957722635324456812322150437989e-01, 4.734229172641948763293980314992213293971770695480616789828384e-03, 8.991354757072954417865374195261962983644048998218233900481856e-02, -9.318558949903924837875002823617504227246562152671894579504378e-03, -6.335603744044346612098887534020545705731671718057964802006671e-02, 1.322854958503655524455929847605110719648746890497356808289302e-02, 4.125469306470509212749750814299126656151504805845417994651417e-02, -1.436683978422007182104025173214012797788904894291716373493525e-02, -2.416949780166026740294880681731084091264533168816746227537030e-02, 1.276645671565674419403918018742432714973656598227939824940035e-02, 1.228943600811871086161967625814297050611100200023898377949151e-02, -9.577797899235709998147309703713518608283233882793489733491642e-03, -5.085991649233429881797636583578921194675393807761154549733547e-03, 6.137754586740521089596801883631921221145712545042519987641234e-03, 1.428088794070762107355585870669842132609159040625895090070111e-03, -3.357644380922383229567732565298665639037348585961127075507937e-03, 7.615969435172736546769649923895317451534703066016116257300160e-06, 1.549637469702362975561719246539787717204438637997824935787688e-03, -3.346692164250854961608526121524596908041109918361306282201310e-04, -5.864810318991817532175809224131456738367101035694188223408841e-04, 2.648328819961289039302810122699710966048565368047575218693134e-04, 1.700012283661249043584690194716767771204207742625746308522935e-04, -1.365883072261161602559926714744746422567509177443594045709653e-04, -2.976995962848509743944225866488519668585242655980656646544319e-05, 5.304143122913310222538317980686374696005605533475685587486683e-05, -2.437001526827789860990429478540556752694389693432668831073769e-06, -1.572442077270281693663288966405861215692805972737981986121447e-05, 4.308047861716731191350493437937513220737450410132878032163179e-06, 3.353345862871309889390877168046133657377105681618708355266688e-06, -1.895929617693153288493891051875444439753318548105998166574535e-06, -3.903931733287306166657519468494511920760767388397825775326745e-07, 5.302368616904760917074352633915743250769600635829229600812520e-07, -3.700308378205124537986402644918879149894035910106489082512364e-08, -9.990396944534900755781728477561240762191443422318249128866740e-08, 3.008188650719066928230268918661718274504955045022550217051301e-08, 1.084902733789934825266560240100449884702749303326571747323086e-08, -7.458116552893037631192407611262788593505988638365840409367117e-09, 5.897951310384361575470355861162022501172491937837712969865619e-11, 1.030823345485433383811700481488557422005210168069163779730908e-09, -2.433545573751672936168877250405940817227367937230289801251648e-10, -6.407938256501889018430608323235974406219193176918284664973727e-11, 4.000536627253744510742788201354093006471710416671002244302586e-11, -3.125639357108557540598098228678150768528121565391376265627294e-12, -2.567065476155081449204643852428401530283519685638256074752850e-12, 8.015088533687900921948605418789324826115616416343391081288979e-13, -2.597954328893848084315198205094389145706680129208998638802995e-14, -3.397720856796267431956783825659069596940335130100871912329556e-14, 8.624037434720089202680337663692777682810714650060805832406135e-15, -9.298012529324185420921555664719863501848315099116725184370339e-16, 4.014628712333488654318569164614220308046021091178184654250982e-17}; static const TYPE CAT(db36_, TYPE)[72] = { 2.867925182755946334630479473029238615535511775894262711054705e-06, 6.826028678546358691748629102209605362240344266505035981791715e-05, 7.602151099668488285869792677106082100141275054892389379198545e-04, 5.240297377409884366201603524392995696042174937194435235003941e-03, 2.489056564482796484885927333959115579403023347044729739255255e-02, 8.565209259526409083864716995521111486437594750377856524772704e-02, 2.177569530979008149637945915719999746248969705650625533415876e-01, 4.064336977082553467407793990250384445903151630768558142125382e-01, 5.322668952607286914777444748641462027213554723153906901129337e-01, 4.178753356009697863620634559374236455222275302996931178265919e-01, 4.397519752934862993862182898358763783110745559238982179690132e-02, -2.944210395891145711100715969898758940722458887377844633443675e-01, -2.468070369781255270524798278622698446566520718230313889086016e-01, 9.811420416311477050518401371401568038943437322299913514049728e-02, 2.465372776089742110529709111809595434656418762898152706621356e-01, 7.278515095792229009687682299460382878643139026668958884429641e-03, -1.993372056086496198603363400094784142714162256792182570541036e-01, -4.586140074639271639145126228774831743002971373998329604574394e-02, 1.541062366276428841776316300420654875883842819413623395358262e-01, 5.027618007353842862036816972809884096761706036019748316890913e-02, -1.188037543101356316801816931383547446073152951044444224449501e-01, -3.988085357551317584091699967924044034100374257075864260934102e-02, 9.115678225801654406336059281306715151058903055370522031843771e-02, 2.503872144956848989919484296709846860569180993040383621980546e-02, -6.820901663681751124880436344265538690580358108714540763125119e-02, -1.131910031681742794381808082173695022123056280821611354577883e-02, 4.851308354780908538616267662315735632292989749013261207046367e-02, 1.424972661765391603147802607378542396323429657660009755652404e-03, -3.198072067763969654470293513742344601172739688274251641873778e-02, 3.984040198717004857397179486790082321314291366656151213429068e-03, 1.906359478062535932877576164368198274858108513696832728889209e-02, -5.657813245058818380424016973516714570499161434975761798379020e-03, -9.990263473281372348001743806489172665465685056975652497503772e-03, 5.022989106665829004699819220796538830393945994687289792465541e-03, 4.413484835350575251918616780287775585471012556848037301025999e-03, -3.484541445404883311209541395428535732697661971818727286003028e-03, -1.503074066296643749549363655363411879858070202740814054964603e-03, 1.990793771851737270404293245701878186600899439513475823305914e-03, 2.776812795712026068152384207605140383490242756921936501940389e-04, -9.463403823261101964604918059447913047725482130063492242779878e-04, 8.614565758992702032613879159402330909634737204578606399403107e-05, 3.693507284967510502620040341882236687749563414433432842567511e-04, -1.155118895843527096848376999413102395191976350936666573818799e-04, -1.131899468084665671727391922924411467938450743565106978099456e-04, 6.694741196930590257104231749283786251555566773398199990337698e-05, 2.375106683660860777161950832380341362257503761490580896617678e-05, -2.731390824654337912922346414722045404779935825834384250023192e-05, -1.183471059985615942783182762352360917304348034947412986608322e-06, 8.372218198160788432628056043217491552198857358432112275253310e-06, -1.586145782434577495502614631566211839722879492827911790709498e-06, -1.870811602859180713762972281154953528056257451900381097476968e-06, 8.311421279707778528163597405935375886855029592150424544500718e-07, 2.548423522556577831218519052844387478819866531902854523544709e-07, -2.455377658434232699135878286794578515387138194247693201846263e-07, 2.753249073339512254085076456700241929492720457889076058451072e-09, 4.799043465450992009934526867650497683545716858606119786327559e-08, -1.156093688817008406756913949175208452083765368825442482226093e-08, -5.612784343327791397474114357094368557982413895802980814813369e-09, 3.138841695782424018351567952158415003571380699236147752239001e-09, 1.090815553713751810964713058800448676068475673611349566405716e-10, -4.512545778563249634425200856088490195004077806062978067796020e-10, 8.962418203859611987065968320295929679774693465791367610044773e-11, 3.037429098112535221800013609576297196061786927734556635696416e-11, -1.599716689261357143200396922409448515398648489795044468046420e-11, 8.876846287217374213524399682895564055949886050748321818411161e-13, 1.070969357114017002424433471621197579059927261727846375968378e-12, -3.029285026974877268896134589769473854669758797446795757329862e-13, 5.542263182639804235231685861028995158694397223907295269180336e-15, 1.338071386299105896025578761458472955294763310766371178363783e-14, -3.204628543401749860439316638848579711789176444320134355253750e-15, 3.339971984818693213132578777712503670014459411167839211495237e-16, -1.403274175373190617489823209168013922564353495443487431242610e-17}; static const TYPE CAT(db37_, TYPE)[74] = { 2.022060862498392121815038335333633351464174415618614893795880e-06, 4.942343750628132004714286117434454499485737947791397867195910e-05, 5.662418377066724013768394373249439163518654840493603575144737e-04, 4.024140368257286770702140124893772447952256842478891548092703e-03, 1.976228615387959153244055502205017461538589475705618414896893e-02, 7.058482597718160832030361890793007659963483925312132741868671e-02, 1.873263318620649448028843491747601576761901656888288838192023e-01, 3.684409724003061409445838616964941132670287724754729425204047e-01, 5.181670408556228873104519667534437205387109579265718071174178e-01, 4.622075536616057145505448401528172070050768534504278694229363e-01, 1.308789632330201726057701201017649601034381070893275586898075e-01, -2.461804297610834132869018581145720710365433914584680691693717e-01, -2.943759152626617722808219575932673733674290772235644691367427e-01, 1.967150045235938977077768648740052380288156507222647187301894e-02, 2.515232543602686933435224095078166291442923992611593827552710e-01, 8.180602838721862339029076982652411696000045533716726027662147e-02, -1.819622917786080007408824256525225216444443143868752611284260e-01, -1.084517138233017845554078812341876568514835176341639783558543e-01, 1.299296469598537527842528895259188653120602318620944502979726e-01, 1.017802968388141797470948228505865617480048287983176581607964e-01, -9.660754061668439030915405045955772715988585374771282291315496e-02, -8.233021190655740867404073660920379414988302492018783774702028e-02, 7.504761994836017933579005072594245435071674452882148228583865e-02, 5.956741087152995245435589042520108066877114768216272503684398e-02, -5.925681563265897095153806724965924334077555174281436189512239e-02, -3.825382947938424882011108885090442116802994193611884738133373e-02, 4.580794415126833246633256156110381805848138158784734496981778e-02, 2.097280059259754883313769469036393294461497749083921162354229e-02, -3.352358406410096994358662875913243067234786296009238949920582e-02, -8.833493890410232394064187990625563257107429109130726291528648e-03, 2.261865154459947356571431658958802912061105608212828675323452e-02, 1.690472383484423743663952859090705636512807161536954018400081e-03, -1.376398196289478433857985486097070339786225136728067000591187e-02, 1.519305778833399218481261844599507408563295102235964076544334e-03, 7.387757452855583640107787619408806919082115520707105052944171e-03, -2.248053187003824706127276829147166466869908326245810952521710e-03, -3.394523276408398601988475786247462646314228994098320665709345e-03, 1.816871343801423525477184531347879515909226877688306010517914e-03, 1.263934258117477182626760951047019242187910977671449470318766e-03, -1.111484865318630197259018233162929628309920117691177260742614e-03, -3.280788470880198419407186455190899535706232295554613820907245e-04, 5.490532773373631230219769273898345809368332716288071475378651e-04, 1.534439023195503211083338679106161291342621676983096723309776e-05, -2.208944032455493852493630802748509781675182699536797043565515e-04, 4.336726125945695214852398433524024058216834313839357806404424e-05, 7.055138782065465075838703109997365141906130284669094131032488e-05, -3.098662927619930052417611453170793938796310141219293329658062e-05, -1.639162496160583099236044020495877311072716199713679670940295e-05, 1.354327718416781810683349121150634031343717637827354228989989e-05, 1.849945003115590390789683032647334516600314304175482456338006e-06, -4.309941556597092389020622638271988877959028012481278949268461e-06, 4.854731396996411681769911684430785681028852413859386141424939e-07, 1.002121399297177629772998172241869405763288457224082581829033e-06, -3.494948603445727645895194867933547164628229076947330682199174e-07, -1.509885388671583553484927666148474078148724554849968758642331e-07, 1.109031232216439389999036327867142640916239658806376290861690e-07, 5.350657515461434290618742656970344024396382191417247602674540e-09, -2.252193836724805775389816424695618411834716065179297102428180e-08, 4.224485706362419268050011630338101126995607958955688879525896e-09, 2.793974465953982659829387370821677112004867350709951380622807e-09, -1.297205001469435139867686007585972538983682739297235604327668e-09, -1.031411129096974965677950646498153071722880698222864687038596e-10, 1.946164894082315021308714557636277980079559327508927751052218e-10, -3.203398244123241367987902201268363088933939831689591684670080e-11, -1.398415715537641487959551682557483348661602836709278513081908e-11, 6.334955440973913249611879065201632922100533284261000819747915e-12, -2.096363194234800541614775742755555713279549381264881030843258e-13, -4.421612409872105367333572734854401373201808896976552663098518e-13, 1.138052830921439682522395208295427884729893377395129205716662e-13, -4.518889607463726394454509623712773172513778367070839294449849e-16, -5.243025691884205832260354503748325334301994904062750850180233e-15, 1.189012387508252879928637969242590755033933791160383262132698e-15, -1.199280335852879554967035114674445327319437557227036460257649e-16, 4.906615064935203694857690087429901193139905690549533773201453e-18}; static const TYPE CAT(db38_, TYPE)[76] = { 1.425776641674131672055420247567865803211784397464191115245081e-06, 3.576251994264023012742569014888876217958307227940126418281357e-05, 4.211702664727116432247014444906469155300573201130549739553848e-04, 3.083088119253751774288740090262741910177322520624582862578292e-03, 1.563724934757215617277490102724080070486270026632620664785632e-02, 5.788994361285925649727664279317241952513246287766481213301801e-02, 1.600719935641106973482800861166599685169395465055048951307626e-01, 3.307757814110146511493637534404611754800768677041577030757306e-01, 4.965911753117180976599171147718708939352414838951726087564419e-01, 4.933560785171007975728485346997317064969513623594359091115804e-01, 2.130505713555785138286743353458562451255624665951160445122307e-01, -1.828676677083358907975548507946239135218223185041410632924815e-01, -3.216756378089978628483471725406916361929841940528189059002548e-01, -6.226650604782432226643360160478765847565862101045597180310490e-02, 2.321259638353531085028708104285994998671615563662858079262996e-01, 1.499851196187170199586403453788927307298226028262603028635758e-01, -1.417956859730596216710053144522330276392591055375830654519080e-01, -1.599125651582443618288533214523534937804208844386102639177693e-01, 8.563812155615105741612217814369165313487129645536001850276987e-02, 1.414147340733826800884683119379170594092606174915755283496153e-01, -5.658645863072738145681787657843320646815509410635114234947902e-02, -1.147311707107443752394144019458942779715665489230169950201022e-01, 4.309589543304764288137871223616030624246568683595408792078602e-02, 8.720439826203975011910714164154456762073786124233088471855868e-02, -3.660510340287429567372071039506772372567938710943432838908247e-02, -6.176620870841315993604736705613246241897497782373337911398117e-02, 3.198987753153780630818381136366859026137035450576631134176875e-02, 4.005498110511594820952087086241114309038577379366732959648548e-02, -2.689149388089451438550851767715967313417890393287236700072071e-02, -2.311413402054931680856913553585621248925303865540203357180768e-02, 2.090464525565524340215982365351342094670261491526831672682244e-02, 1.129049727868596484270081487761544232851115891449843967151657e-02, -1.470188206539868213708986402816605045648481224662435114088245e-02, -4.131306656031089274123231103326745723188134548520938157995702e-03, 9.214785032197180512031534870181734003522861645903894504302286e-03, 5.625715748403532005741565594881148757066703437214522101740941e-04, -5.071314509218348093935061417505663002006821323958752649640329e-03, 7.169821821064019257784165364894915621888541496773370435889585e-04, 2.400697781890973183892306914082592143984140550210130139535193e-03, -8.448626665537775009068937851465856973251363010924003314643612e-04, -9.424614077227377964015942271780098283910230639908018778588910e-04, 5.810759750532863662020321063678196633409555706981476723988312e-04, 2.817639250380670746018048967535608190123523180612961062603672e-04, -3.031020460726611993600629020329784682496477106470427787747855e-04, -4.555682696668420274688683005987764360677217149927938344795290e-05, 1.262043350166170705382346537131817701361522387904917335958705e-04, -1.155409103833717192628479047983460953381959342642374175822863e-05, -4.175141648540397797296325065775711309197411926289412468280801e-05, 1.334176149921350382547503457286060922218070031330137601427324e-05, 1.037359184045599795632258335010065103524959844966094870217687e-05, -6.456730428469619160379910439617575420986972394137121953806236e-06, -1.550844350118602575853380148525912999401292473185534395740371e-06, 2.149960269939665207789548199790770596890252405076394885606038e-06, -8.487087586072593071869805266089426629606479876982221840833098e-08, -5.187733738874144426008474683378542368066310000602823096009187e-07, 1.396377545508355481227961581059961184519872502493462010264633e-07, 8.400351046895965526933587176781279507953080669259318722910523e-08, -4.884757937459286762082185411608763964041010392101914854918157e-08, -5.424274800287298511126684174854414928447521710664476410973981e-09, 1.034704539274858480924046490952803937328239537222908159451039e-08, -1.436329487795135706854539856979275911183628476521636251660849e-09, -1.349197753983448821850381770889786301246741304307934955997111e-09, 5.261132557357598494535766638772624572100332209198979659077082e-10, 6.732336490189308685740626964182623159759767536724844030164551e-11, -8.278256522538134727330692938158991115335384611795874767521731e-11, 1.101692934599454551150832622160224231280195362919498540913658e-11, 6.291537317039508581580913620859140835852886308989584198166174e-12, -2.484789237563642857043361214502760723611468591833262675852242e-12, 2.626496504065252070488282876470525379851429538389481576454618e-14, 1.808661236274530582267084846343959377085922019067808145635263e-13, -4.249817819571463006966616371554206572863122562744916796556474e-14, -4.563397162127373109101691643047923747796563449194075621854491e-16, 2.045099676788988907802272564402310095398641092819367167252952e-15, -4.405307042483461342449027139838301611006835285455050155842865e-16, 4.304596839558790016251867477122791508849697688058169053134463e-17, -1.716152451088744188732404281737964277713026087224248235541071e-18}; static const TYPE CAT(sym2_, TYPE)[4] = { 0.48296291314469025, 0.83651630373746899, 0.22414386804185735, -0.12940952255092145 }; static const TYPE CAT(sym3_, TYPE)[6] = { 0.33267055295095688, 0.80689150931333875, 0.45987750211933132, -0.13501102001039084, -0.085441273882241486, 0.035226291882100656 }; static const TYPE CAT(sym4_, TYPE)[8] = { 0.032223100604042702, -0.012603967262037833, -0.099219543576847216, 0.29785779560527736, 0.80373875180591614, 0.49761866763201545, -0.02963552764599851, -0.075765714789273325 }; static const TYPE CAT(sym5_, TYPE)[10] = { 0.019538882735286728, -0.021101834024758855, -0.17532808990845047, 0.016602105764522319, 0.63397896345821192, 0.72340769040242059, 0.1993975339773936, -0.039134249302383094, 0.029519490925774643, 0.027333068345077982 }; static const TYPE CAT(sym6_, TYPE)[12] = { -0.007800708325034148, 0.0017677118642428036, 0.044724901770665779, -0.021060292512300564, -0.072637522786462516, 0.3379294217276218, 0.787641141030194, 0.49105594192674662, -0.048311742585632998, -0.11799011114819057, 0.0034907120842174702, 0.015404109327027373 }; static const TYPE CAT(sym7_, TYPE)[14] = { 0.010268176708511255, 0.0040102448715336634, -0.10780823770381774, -0.14004724044296152, 0.28862963175151463, 0.76776431700316405, 0.5361019170917628, 0.017441255086855827, -0.049552834937127255, 0.067892693501372697, 0.03051551316596357, -0.01263630340325193, -0.0010473848886829163, 0.0026818145682578781 }; static const TYPE CAT(sym8_, TYPE)[16] = { 0.0018899503327594609, -0.0003029205147213668, -0.014952258337048231, 0.0038087520138906151, 0.049137179673607506, -0.027219029917056003, -0.051945838107709037, 0.3644418948353314, 0.77718575170052351, 0.48135965125837221, -0.061273359067658524, -0.14329423835080971, 0.0076074873249176054, 0.031695087811492981, -0.00054213233179114812, -0.0033824159510061256 }; static const TYPE CAT(sym9_, TYPE)[18] = { 0.0010694900329086053, -0.00047315449868008311, -0.010264064027633142, 0.0088592674934004842, 0.06207778930288603, -0.018233770779395985, -0.19155083129728512, 0.035272488035271894, 0.61733844914093583, 0.717897082764412, 0.238760914607303, -0.054568958430834071, 0.00058346274612580684, 0.03022487885827568, -0.01152821020767923, -0.013271967781817119, 0.00061978088898558676, 0.0014009155259146807 }; static const TYPE CAT(sym10_, TYPE)[20] = { -0.00045932942100465878, 5.7036083618494284e-005, 0.0045931735853118284, -0.00080435893201654491, -0.02035493981231129, 0.0057649120335819086, 0.049994972077376687, -0.0319900568824278, -0.035536740473817552, 0.38382676106708546, 0.7695100370211071, 0.47169066693843925, -0.070880535783243853, -0.15949427888491757, 0.011609893903711381, 0.045927239231092203, -0.0014653825813050513, -0.0086412992770224222, 9.5632670722894754e-005, 0.00077015980911449011 }; static const TYPE CAT(sym11_, TYPE)[22] = { 0.00048926361026192387, 0.00011053509764272153, -0.0063896036664548919, -0.0020034719001093887, 0.043000190681552281, 0.035266759564466552, -0.14460234370531561, -0.2046547944958006, 0.23768990904924897, 0.73034354908839572, 0.57202297801008706, 0.097198394458909473, -0.022832651022562687, 0.069976799610734136, 0.0370374159788594, -0.024080841595864003, -0.0098579348287897942, 0.0065124956747714497, 0.00058835273539699145, -0.0017343662672978692, -3.8795655736158566e-005, 0.00017172195069934854 }; static const TYPE CAT(sym12_, TYPE)[24] = { -0.00017906658697508691, -1.8158078862617515e-005, 0.0023502976141834648, 0.00030764779631059454, -0.014589836449234145, -0.0026043910313322326, 0.057804179445505657, 0.01530174062247884, -0.17037069723886492, -0.07833262231634322, 0.46274103121927235, 0.76347909778365719, 0.39888597239022, -0.022162306170337816, -0.035848830736954392, 0.049179318299660837, 0.0075537806116804775, -0.024220722675013445, -0.0014089092443297553, 0.007414965517654251, 0.00018021409008538188, -0.0013497557555715387, -1.1353928041541452e-005, 0.00011196719424656033 }; static const TYPE CAT(sym13_, TYPE)[26] = { 7.0429866906944016e-005, 3.6905373423196241e-005, -0.0007213643851362283, 0.00041326119884196064, 0.0056748537601224395, -0.0014924472742598532, -0.020749686325515677, 0.017618296880653084, 0.092926030899137119, 0.0088197576704205465, -0.14049009311363403, 0.11023022302137217, 0.64456438390118564, 0.69573915056149638, 0.19770481877117801, -0.12436246075153011, -0.059750627717943698, 0.013862497435849205, -0.017211642726299048, -0.02021676813338983, 0.0052963597387250252, 0.0075262253899680996, -0.00017094285853022211, -0.0011360634389281183, -3.5738623648689009e-005, 6.8203252630753188e-005 }; static const TYPE CAT(sym14_, TYPE)[28] = { 4.4618977991475265e-005, 1.9329016965523917e-005, -0.00060576018246643346, -7.3214213567023991e-005, 0.0045326774719456481, 0.0010131419871842082, -0.019439314263626713, -0.0023650488367403851, 0.069827616361807551, 0.025898587531046669, -0.15999741114652205, -0.058111823317717831, 0.47533576263420663, 0.75997624196109093, 0.39320152196208885, -0.035318112114979733, -0.057634498351326995, 0.037433088362853452, 0.0042805204990193782, -0.029196217764038187, -0.0027537747912240711, 0.010037693717672269, 0.00036647657366011829, -0.002579441725933078, -6.2865424814776362e-005, 0.00039843567297594335, 1.1210865808890361e-005, -2.5879090265397886e-005 }; static const TYPE CAT(sym15_, TYPE)[30] = { 2.8660708525318081e-005, 2.1717890150778919e-005, -0.00040216853760293483, -0.00010815440168545525, 0.003481028737064895, 0.0015261382781819983, -0.017171252781638731, -0.0087447888864779517, 0.067969829044879179, 0.068393310060480245, -0.13405629845625389, -0.1966263587662373, 0.2439627054321663, 0.72184302963618119, 0.57864041521503451, 0.11153369514261872, -0.04108266663538248, 0.040735479696810677, 0.021937642719753955, -0.038876716876833493, -0.019405011430934468, 0.010079977087905669, 0.003423450736351241, -0.0035901654473726417, -0.00026731644647180568, 0.0010705672194623959, 5.5122547855586653e-005, -0.00016066186637495343, -7.3596667989194696e-006, 9.7124197379633478e-006 }; static const TYPE CAT(sym16_, TYPE)[32] = { -1.0797982104319795e-005, -5.3964831793152419e-006, 0.00016545679579108483, 3.656592483348223e-005, -0.0013387206066921965, -0.00022211647621176323, 0.0069377611308027096, 0.001359844742484172, -0.024952758046290123, -0.0035102750683740089, 0.078037852903419913, 0.03072113906330156, -0.15959219218520598, -0.054040601387606135, 0.47534280601152273, 0.75652498787569711, 0.39712293362064416, -0.034574228416972504, -0.066983049070217779, 0.032333091610663785, 0.0048692744049046071, -0.031051202843553064, -0.0031265171722710075, 0.012666731659857348, 0.00071821197883178923, -0.0038809122526038786, -0.0001084456223089688, 0.00085235471080470952, 2.8078582128442894e-005, -0.00010943147929529757, -3.1135564076219692e-006, 6.2300067012207606e-006 }; static const TYPE CAT(sym17_, TYPE)[34] = { 3.7912531943321266e-006, -2.4527163425832999e-006, -7.6071244056051285e-005, 2.5207933140828779e-005, 0.0007198270642148971, 5.8400428694052584e-005, -0.0039323252797979023, -0.0019054076898526659, 0.012396988366648726, 0.0099529825235095976, -0.01803889724191924, -0.0072616347509287674, 0.016158808725919346, -0.086070874720733381, -0.15507600534974825, 0.18053958458111286, 0.68148899534492502, 0.65071662920454565, 0.14239835041467819, -0.11856693261143636, 0.0172711782105185, 0.10475461484223211, 0.017903952214341119, -0.033291383492359328, -0.0048192128031761478, 0.010482366933031529, 0.0008567700701915741, -0.0027416759756816018, -0.00013864230268045499, 0.0004759963802638669, -1.3506383399901165e-005, -6.2937025975541919e-005, 2.7801266938414138e-006, 4.297343327345983e-006 }; static const TYPE CAT(sym18_, TYPE)[36] = { -1.5131530692371587e-006, 7.8472980558317646e-007, 2.9557437620930811e-005, -9.858816030140058e-006, -0.00026583011024241041, 4.7416145183736671e-005, 0.0014280863270832796, -0.00018877623940755607, -0.0052397896830266083, 0.0010877847895956929, 0.015012356344250213, -0.0032607442000749834, -0.031712684731814537, 0.0062779445543116943, 0.028529597039037808, -0.073799207290607169, -0.032480573290138676, 0.40148386057061813, 0.75362914010179283, 0.47396905989393956, -0.052029158983952786, -0.15993814866932407, 0.033995667103947358, 0.084219929970386548, -0.0050770851607570529, -0.030325091089369604, 0.0016429863972782159, 0.0095021643909623654, -0.00041152110923597756, -0.0023138718145060992, 7.0212734590362685e-005, 0.00039616840638254753, -1.4020992577726755e-005, -4.5246757874949856e-005, 1.354915761832114e-006, 2.6126125564836423e-006 }; static const TYPE CAT(sym19_, TYPE)[38] = { 1.7509367995348687e-006, 2.0623170632395688e-006, -2.8151138661550245e-005, -1.6821387029373716e-005, 0.00027621877685734072, 0.00012930767650701415, -0.0017049602611649971, -0.00061792232779831076, 0.0082622369555282547, 0.0043193518748949689, -0.027709896931311252, -0.016908234861345205, 0.084072676279245043, 0.093630843415897141, -0.11624173010739675, -0.17659686625203097, 0.25826616923728363, 0.71955552571639425, 0.57814494533860505, 0.10902582508127781, -0.067525058040294086, 0.0089545911730436242, 0.0070155738571741596, -0.046635983534938946, -0.022651993378245951, 0.015797439295674631, 0.0079684383206133063, -0.005122205002583014, -0.0011607032572062486, 0.0021214250281823303, 0.00015915804768084938, -0.00063576451500433403, -4.6120396002105868e-005, 0.0001155392333357879, 8.8733121737292863e-006, -1.1880518269823984e-005, -6.4636513033459633e-007, 5.4877327682158382e-007 }; static const TYPE CAT(sym20_, TYPE)[40] = { -6.3291290447763946e-007, -3.2567026420174407e-007, 1.22872527779612e-005, 4.5254222091516362e-006, -0.00011739133516291466, -2.6615550335516086e-005, 0.00074761085978205719, 0.00012544091723067259, -0.0034716478028440734, -0.0006111263857992088, 0.012157040948785737, 0.0019385970672402002, -0.035373336756604236, -0.0068437019650692274, 0.088919668028199561, 0.036250951653933078, -0.16057829841525254, -0.051088342921067398, 0.47199147510148703, 0.75116272842273002, 0.40583144434845059, -0.029819368880333728, -0.078994344928398158, 0.025579349509413946, 0.0081232283560096815, -0.031629437144957966, -0.0033138573836233591, 0.017004049023390339, 0.0014230873594621453, -0.0066065857990888609, -0.0003052628317957281, 0.0020889947081901982, 7.2159911880740349e-005, -0.00049473109156726548, -1.928412300645204e-005, 7.992967835772481e-005, 3.0256660627369661e-006, -7.919361411976999e-006, -1.9015675890554106e-007, 3.695537474835221e-007 }; // The coif wavelets have to be multiplied by sqrt(2) static const TYPE CAT(sqrt2_, TYPE) = 1.4142135623730951454746218587388284504413604736328125; static const TYPE CAT(coif1_, TYPE)[6] = { -5.142972847076845595317549230122688830344559947132656813651045e-02, 2.389297284707684559531754923012268883034455994713265681365104e-01, 6.028594569415369119063509846024537766068911989426531362730209e-01, 2.721405430584630880936490153975462233931088010573468637269790e-01, -5.142972847076845595317549230122688830344559947132656813651045e-02, -1.107027152923154404682450769877311169655440052867343186348954e-02 }; static const TYPE CAT(coif2_, TYPE)[12] = { 1.158759673871686817889714882853120395708315073355502818875931e-02, -2.932013798346856448679594524397843054053420947418409889774786e-02, -4.763959031100813225872995081511549408622753909592460525840745e-02, 2.730210465347666137982239328923516270034828327990699588033501e-01, 5.746823938568638472459483149751499367740786490481481391460366e-01, 2.948671936956191896750637208703777973914107635455611537640778e-01, -5.408560709171142997443672832006888537570221990444706777525838e-02, -4.202648046077160694657530752545884878978719268926222513485613e-02, 1.674441016327950635146257083249391698866289538037299820224006e-02, 3.967883612962012109043447090269950094081810916481648252817197e-03, -1.289203356140659543141355500990678257894936161704492503370186e-03, -5.095053991076441489598480835620951586540050976664367876412655e-04 }; static const TYPE CAT(coif3_, TYPE)[18] = { -2.682418670922068664584689955153722375535836177157637134187840e-03, 5.503126707831385107969640263617469178794666057252906037981936e-03, 1.658356047917034608134280439996549525220639437145367606178002e-02, -4.650776447872697640390293095170192691113917841041002855534619e-02, -4.322076356021191118175840907244577856782537221435748296465882e-02, 2.865033352736474630249006862976158896891076238443844211133873e-01, 5.612852568703300445990941995240077241406247774064453800050914e-01, 3.029835717728241602862575774374668529867757043461413348549577e-01, -5.077014075488886159516471867138370972545857441670871832472707e-02, -5.819625076158553022607041679522801089624825903982541419721721e-02, 2.443409432116695639462954438418928805487699080947974989338820e-02, 1.122924096203786563399489540091488781245346096838814728167341e-02, -6.369601011048822977293753932627342482077585617391852852955559e-03, -1.820458915566242322836631665832145136570132777862391313328351e-03, 7.902051009575939937150950543290226440287715441826917281929124e-04, 3.296651737931830308416338897758022998655744276957481989605186e-04, -5.019277455327664998007173088097694083956570594580641192332170e-05, -2.446573425530813115445387662881902303945941576472342106918209e-05 }; static const TYPE CAT(coif4_, TYPE)[24] = { 6.309612114309468490753696608619526520153127603444406835368201e-04, -1.152225143769973488683007937016166047881572156705066038094891e-03, -5.194525163470323267558201363327294331811309729430512113592118e-03, 1.136246148326482276463392678363118465908960082105224676102131e-02, 1.886723856956305960822813160712701905823879297781452350370094e-02, -5.746424190192718517290527411385172124443396690932404284859269e-02, -3.965265296244913762718094206756579981738035770770645437919302e-02, 2.936674050161006858761278962798582650835466243678172528509866e-01, 5.531264550395492870333469741987846570947502710783248169642137e-01, 3.071573096678856987248881030393884808414165269795297009902001e-01, -4.711273752389572084912399351781012121935994396763702238263689e-02, -6.803811467802056988332974920928626798429778679560269769187728e-02, 2.781363695846951303169163645831936314699164412528991864702607e-02, 1.773583142270308388403079552822372238681544967313003044695583e-02, -1.075631615508724933047071603601897536695959225169888787867102e-02, -4.001010844950535391911552472397083276670126595827549403173754e-03, 2.652664913530499860820143301690017184933302935238430721089152e-03, 8.955939276952843603555618778866181384528643960440369133096025e-04, -4.165001950941708741516836418852536615951250588002878691463468e-04, -1.838296167136253805617482342622910940008368723403836355183423e-04, 4.408022661597206973006038672236031501663774161685451815597956e-05, 2.208284691230832960893331999804142845136324572860276715790883e-05, -2.304919162676504406778986897925054839632903355820414483306851e-06, -1.262179179994622253884862172782890488140153502131112374520603e-06 }; static const TYPE CAT(coif5_, TYPE)[30] = { -1.499645228345950331670593167919531667975440598691604525531231e-04, 2.535527523580334712936363872191554706055603482812691726895588e-04, 1.540286725995222360335148244676269541414659303531250711822333e-03, -2.941078164035693185044038586065593320891475311414770624555173e-03, -7.164112349410053294382279572472252500899544810929605832362178e-03, 1.655218330649288840540841623080651353621667424921282557975513e-02, 1.991901719798432056056857854066125809443504706772520641876273e-02, -6.499837825472324963374262221660858232544804226063450042795603e-02, -3.680255347446873527191823500872992242220223547780834450868002e-02, 2.980959014587191795511466861338063554509597132272839414668911e-01, 5.475082713540367154128337935687830970431964302909253422329131e-01, 3.097002590784203529311533316221254677074498876376965941549923e-01, -4.386731482823615640442730013366750193381707273908757638050452e-02, -7.464442013283971243472663968192859562973186442054433655531762e-02, 2.919469277528073666095772398605275751022315529465178441510318e-02, 2.310457227706684192610065243663928370022983285246219996141160e-02, -1.397129268638200558584119246355879336305763752871371182932059e-02, -6.476749751505861835547590642967453082384538848552165075614441e-03, 4.781116799130657606400088024549264921093190305150784065791191e-03, 1.719383484385504023022397097446276782318002683055773803854075e-03, -1.174947934413537690027670037110105795928147523549002426409332e-03, -4.508222400696236312231932151038336110220594834213702970043431e-04, 2.134457975086291667348984871136041914777578046177470626552867e-04, 9.924691139873533169989496559631669037970741600337089424730635e-05, -2.914684388622130824599478843558087403539428940986384077972155e-05, -1.504031798197685905639227292876711236513927746903476131955063e-05, 2.616809660013118152124234488302931243021794024318439103773996e-06, 1.457502921355163070577152619048168436286350537937563166257584e-06, -1.148199649902979726237655584441763456854312591680755421569962e-07, -6.791060677322355511541065559242475254516249773485524025251102e-08 }; static const TYPE CAT(coif6_, TYPE)[36] = { 3.590369176713147297619137585162985487882983106558813483919654e-05, -5.739587600308579302553116112640931312834124316491419262693257e-05, -4.416681189774217015420887950711066328841194295133755225305844e-04, 7.718952365964601416123598337617069164684563206275891099236221e-04, 2.502464949920583984721024494943552146200854870661622211002418e-03, -4.970540926794084916072709193212250530229884674851059194676904e-03, -8.649031599946572670088689962363342931064457587276457635862837e-03, 2.096272704497140779792663941456374769474253019820508756967019e-02, 2.035485665853858604541136567848434116598037957308057353920592e-02, -7.047945564795552885905434147081164203757922879137146339823510e-02, -3.448140611368923447131875491841937617457159299006945091335206e-02, 3.010998878403483951866118786441379902683440623823004392113350e-01, 5.433431541205752976643226361323847389491208513427704619816300e-01, 3.114106686884303879320332890564758567306967030720816157048784e-01, -4.108920994584877203854246950993119698209208008049962179892675e-02, -7.938037857340304740867638342147592451705918503253249849143539e-02, 2.959417996664270964779250587338231669479158250990737014414477e-02, 2.749324945396978289421721884832761949259069726774638450310483e-02, -1.622820901345195945858655272139343256940218447777075044002063e-02, -8.944948800734973559175903045029991278019908264185511730556261e-03, 6.781924902353432370456282863377674743820538634665380239602198e-03, 2.727776322637165251200756406544564359327985321401403409245472e-03, -2.173603470504406274543289770274934991733554729244606459300157e-03, -8.184301467772110627838702680469158860544118224504527036324346e-04, 5.443695006423825218320707989235387077885356717678678221237514e-04, 2.299669354496271337796680394777537358902688275513954507765924e-04, -1.093025858275705388257100771765109469841731265349469854748449e-04, -5.323102894235956524250869703703947941287269765076967124254140e-05, 1.749138884456354646795465632327170008020712055425505484223307e-05, 9.291277996211799255766657547295162218792966588358292566578482e-06, -2.067852860108562040355056354764683583070734740977224663511355e-06, -1.173528057754959701015486666538811237336231287996985858558749e-06, 1.595231380068613024221709499993144713297922814623646799204434e-07, 9.548236102970597211555688470325396069418862428946106509526618e-08, -6.001316648399794543233636397364817876191104394511939069108879e-09, -3.754092421718877429714314525761519021787631896344301745834088e-09 }; static const TYPE CAT(coif7_, TYPE)[42] = { -8.642436297638419945610948131417508321449359042880382837616795e-06, 1.323092600668737320653618189565188176193563004626002735569108e-05, 1.238159302411191700694316904823586790698547751438666389964909e-04, -2.030827471878621660379666662315021490193874834607822591973651e-04, -8.268301617880235510290843066205662542616488856061409195612586e-04, 1.489005690114437686460337716452079526238674405271430102926760e-03, 3.414934412450460679215304700817226231104673750197184931650456e-03, -7.027860242269773782347401141338545341343547479199220829531083e-03, -9.759879698174635975799287457121964575077621800626382384905922e-03, 2.468545489421116360102434627504896094772630565645374342185378e-02, 2.046157861402903980087467083352777920759194756736646791948754e-02, -7.463948234553393791576174267216063661913646014250615692345955e-02, -3.255052720695225444262327386510843067531614239181091226317606e-02, 3.032701839810768064176188260727440638632962820833222425246103e-01, 5.400990244606528900971955967395441757408783874674606654776292e-01, 3.126383971738483006163784309975347847899010543829381537178238e-01, -3.871497424779051301839419764560067767205245057921330411662831e-02, -8.293907947422769053048964127950429060647696494556080282464817e-02, 2.949014117259198370970425259971349135137714379653805589390139e-02, 3.110778126696628039496809790347026077516532785378620954115443e-02, -1.778674610242698080195492177636195380628008680534327644027865e-02, -1.127612352465961805417517163375322309389029593356595515710364e-02, 8.522290099960163136478259451975210336102817817562221392657719e-03, 3.840520687530513060929693850444023135936063807811968697808645e-03, -3.265307484878191553686608663193259573061021023330761877609170e-03, -1.273879229605184944648413513123685328329522201334094650099164e-03, 1.014515696091098223010746848382433126910091720031207326903328e-03, 4.097679895401914370060120309164154094898913488243766819496226e-04, -2.609696573094586622328219462237882874111293043254082981395787e-04, -1.186646887145157446962850804940522053646675640116219334763007e-04, 5.636383526557468584243108976415315613118268111676116113791335e-05, 2.858866828380331402146557751682881290895951013741692838961144e-05, -1.006611544197303027244467426357681984010120261232862556289963e-05, -5.495099010556417822017774697665452170235386110376505191968507e-06, 1.415682965517504934011008339473818198664994789606034408294717e-06, 8.188133233610314217903522752009348948778608588070621911086501e-07, -1.463230575247395655425908281663831406004216665367756779712751e-07, -8.874835827294529368648499409085591173735229589713890206258021e-08, 9.853606453775557692052504971290731996468795418172901924493247e-09, 6.220130833773100584817683046405291459615130548784852993590582e-09, -3.237371065873786031415974713833345092654235228652968924822315e-10, -2.114649662048637955296836248309680136665362492693075345297952e-10 }; static const TYPE CAT(coif8_, TYPE)[48] = { 2.089031388199542217649735304633077946477575993553137874997499e-06, -3.088829676466960594403785936495123295795735325141186563064826e-06, -3.415065199420814308581377665735877442810613593316182887801764e-05, 5.336794978475752885866749586223668039582360880077534324830961e-05, 2.625452092146307108027768728326461036005400582791844219135485e-04, -4.409238208772274245312366838988697089610792049225817119782188e-04, -1.260955244697859087126122671343741939804055800993471565939717e-03, 2.334035748516809401796699851512493931521487402803856088184519e-03, 4.238998515964122916906367014472885263525332429616686168386780e-03, -9.010216682788485374574179959374952745626145790175446525921665e-03, -1.059137210972160452062877264732854070957273640727973500291258e-02, 2.784023497265315551670806338623371354680279388669611745037381e-02, 2.038491393825460625255433218588522954822776999829791972608492e-02, -7.790193780817760648856650048481215968473342802126754335290911e-02, -3.091398960464199635355286295557605183007519885588326376800431e-02, 3.049113846932028296232414935045248095543039057351616871735909e-01, 5.374812703269839615372906413514102630694929400948606989937313e-01, 3.135612340595966380418077448086007870950549040456326333016594e-01, -3.667108316665038246204915903550010028035229188747930760164446e-02, -8.570923901203457457230067054960180625904745972345544735005669e-02, 2.912276318941918093502808667205448538832711003842651923199100e-02, 3.411957880301561499047582538207723820508873324357307771206279e-02, -1.884914078883376071043287013172570992844993887415459298291641e-02, -1.342459526650064517082192966318056581890805569912583356614454e-02, 9.982558825082415904373108133470460186315362848702191453854950e-03, 4.996294194193990739772329108378853011245087219628720892888460e-03, -4.353415716030435524873558659254500246467092155734985247834619e-03, -1.798882274878169625580021134613003566863070625422298385086326e-03, 1.580842866685999532270584538283553531040029730619088591607990e-03, 6.341164354094166487421798386547881496331208497274921165613427e-04, -4.859037288504776883185923185674204816335250660367189593401172e-04, -2.105615022500261821665621601578029342187313061309595147668812e-04, 1.284762650553455535249206074613997094898698286922036784576671e-04, 6.190332439714985153834932259246488292329875513962818749340013e-05, -2.932710247776567240870160300128192249260665410455632214571613e-05, -1.541634258578732960762233596163970199686495285352470015267722e-05, 5.679130231196248852811714735791066544261806333156564637706958e-06, 3.179814253819903951090335509892218398493686680727385157906016e-06, -9.018823843695175549580166675906964282301328192772638509290562e-07, -5.313922705051620291263120753790527283196870682052587236468039e-07, 1.123841380424949688574412705744289982140965409566073018148117e-07, 6.910143395859795983361485345968765950977315740669289349714194e-08, -1.028133863272738862101812736488937814136249072478179304322756e-08, -6.555732343557023119114074649273108865362704549509543350446188e-09, 6.130612315575721972473587395696526436552798806104270539014282e-10, 4.033910072490666571003953018881489938766267669840899254802129e-10, -1.785744077894230068079099924407862882873224386100989050429950e-11, -1.207731024612356156550871498168833597517735826635815624658975e-11 }; static const TYPE CAT(coif9_, TYPE)[54] = { -5.066363823597422392806056574334164019913184490360944548316318e-07, 7.278391993125473027029583168671424388748658656372670262448419e-07, 9.304737272738569335426840667700605845237073216830127313873309e-06, -1.399166643491873035927397151326087921115765448962913723958371e-05, -8.091702401289310224621206748421921014290936300934460833068239e-05, 1.288948603756442891955388200793566964011433484841725529675464e-04, 4.429833292564910878782752821721584532350914860569614883397891e-04, -7.604638375385009047720991576053046852032649468701121074994496e-04, -1.712076406330546261864476465012314688415071394908910205115863e-03, 3.250609771558499559986242897495101339387218580957593472948506e-03, 4.965544559205420047336110923957506351279457718709199656899118e-03, -1.087293322510375296786682178855708097994536728252120886318829e-02, -1.121487186714498120022344911296954171366809171629939577546416e-02, 3.053409241514424830665032185876170313664500941851818086027391e-02, 2.020392698610770380447570514810463753302939216061746963067828e-02, -8.052780090649459945830240285306098489931000767407230573519424e-02, -2.950481547909572113527928936790826747949471856175409844500779e-02, 3.061961521402196297060170641420108731472017553153312985302650e-01, 5.353120232520133713115706737209774227378476257207779817606799e-01, 3.142791902169524902984239510600746503211251765067043225338625e-01, -3.489491800009343033063601189229669581774254383120018514658627e-02, -8.792560957387142697108395104950963599558244039650648988222216e-02, 2.861927542811334614253853950282153483993260752259557922334958e-02, 3.665967931975593019562623910949450882200844831012366323592970e-02, -1.955945002554213167931774103463762372167104971118382178710488e-02, -1.538279230927754406350075858557526842247910581873511998413085e-02, 1.118552122310349928798438523781104471338643824158961043502858e-02, 6.153778805250375760539535917130018322120240439861388830004320e-03, -5.383941047406102653501165062580070636876629329655105558566173e-03, -2.374234426766700376811893833905319565227030464607844605997432e-03, 2.201384480544939153490212385667343932208692420769790727070706e-03, 8.978070631742198872611262172632408686645841161925814232909679e-04, -7.748091639808001244045755147010278445955718484470643940080615e-04, -3.271988742130504187500457463514277973862371006416232573352337e-04, 2.382340816470993068532708118584131071285832153866665367058914e-04, 1.098939547757907591024137319089517624469653929668339354098746e-04, -6.459841534412000641464605011582059745094736001136249665670393e-05, -3.262384353548798509572707535297893969508001470867657290979350e-05, 1.539823757133791368834354345267796411124232848770592546980638e-05, 8.354049038925734685227308673812966075026848925201707946720101e-06, -3.173574058801678589943416130953277710277471261605337088707621e-06, -1.818949869332426905097083388417804018910760658657704860329107e-06, 5.517186750972799125927280958782447793255276643806997727626076e-07, 3.308966123618421063439933908570170555222439095610467058151640e-07, -7.846530733490392810972396794430929632826504340137889923489193e-08, -4.890737315241025544677728915264690823141541323355311455146920e-08, 8.750627874791451325430828577550291173132606932489491650978024e-09, 5.638473635810843029376963642806188780738425364694324846641801e-09, -7.167429275081674956250392820907257304489315331347262926580420e-10, -4.754207280832321963819557935464843642627576884386666887645887e-10, 3.830468826216721628160165172614737318957786647293037946018968e-11, 2.606522688312826422093936510197703125780060151935658173250167e-11, -1.001456631869681899515352955030379117902110811720682559024841e-12, -6.970967839322873084383232882845795920838117679540306239345441e-13 }; static const TYPE CAT(coif10_, TYPE)[60] = { 1.232039860648044172279299405224082875252688628145893763395790e-07, -1.727295600804314762711191670132331791341141012661151334481794e-07, -2.511081517709769407961552319066117068245327429766666733928049e-06, 3.658544046042552874351627900962366978528997860123373895778793e-06, 2.436668276348995654567141715803151760606013118025710110377401e-05, -3.722543982033220274394394471108112000512191070987312940916252e-05, -1.497469279949762172542844959871018020917187701428092381975699e-04, 2.428593780445920993243261353647084659003272232610773863151794e-04, 6.540313182060373357098490399551418144208877502266803289923939e-04, -1.146063191568871560182378726825944083414392177714466101235875e-03, -2.159498802066973425125604747126061872540389369353813104148470e-03, 4.198356898750693446005403941056755251392636143022056890090725e-03, 5.598275450294209413911534747591226887261098750954757306041384e-03, -1.260095805571421166223679712763560488266840720081803933722030e-02, -1.168247265355164122837179014169010489974316491167398434017964e-02, 3.285412351493396730558710291243592888780292689130164184828513e-02, 1.996368405025267515773975348713442321055648689376329104127913e-02, -8.268628841732119164746367518414478774806468603519900610269584e-02, -2.827515877359611439071634624194631537427006948348240041241060e-02, 3.072295399526691328155262418641709088201200529352508961256835e-01, 5.334767884906935739862412544069281108017755758434730066259645e-01, 3.148528691610333337017175073118974445216093370484743945217914e-01, -3.333673484145423901496513466029874130150784824285513273324710e-02, -8.973828824876461620729131462736908322846203417126514244115363e-02, 2.804975877403786393498709022507676088711706121355859697479949e-02, 3.882650078944377967276663169043218713908993336081868910959595e-02, -2.001823819093022389853947550669865247947997489243455484715571e-02, -1.715959267288721579873571730849821259719260958329570391883719e-02, 1.216641740406415476398704875951061876471553491032831272757748e-02, 7.287002668222967317616933795891484580054714258414483676611073e-03, -6.330873585683910945116572500327893678512281593087324528956428e-03, -2.982656931766638403179439090660944850553111019029093184942893e-03, 2.842726797184870190904247769487845255184476983143715832751782e-03, 1.194989100375986838359310533134452087293580850721847113981799e-03, -1.113592929026716220582486976294877082540073971334172516478939e-03, -4.665959023435428623124863826904417915798780109069842899171733e-04, 3.854915448171689185378413676726041277985033697385268395398737e-04, 1.722736489049248280735630694200218710841097211364504157426810e-04, -1.192039440276314665828270011182318354192262701354872993867613e-04, -5.799804551608036312810594836126727444524814767625101691871260e-05, 3.303955116680311017462087431863046046226866796792060186027460e-05, 1.735375106985050789058251093166552848987592399630060085283037e-05, -8.153689583347474492592925111165323709051679031024702923650800e-06, -4.549758014112714450559595397423919633198378184124113284457878e-06, 1.765789027517910443710091424096930382691903616281733579514694e-06, 1.034104799224371158938634470768393243015388383126290286799001e-06, -3.293437798170512614804826256037338836342628817269828495710584e-07, -2.008825017273243555706624872035287742407494975566457013532182e-07, 5.172869892752758054467150354777867503503057315845912340980461e-08, 3.267471887025676044777185234904542674259187212800749921513620e-08, -6.644210603985367626472026676249006537350458801953377329083388e-09, -4.326722848192605397244652678298064482622875881609332553562911e-09, 6.694767246505386091091135023442214060965867621406459703646360e-10, 4.478193476940001390457010880530025539995676698350272513506529e-10, -4.958883523601264332798684165341380344606385498242825617652400e-11, -3.396977896617646756144544675014526730130390520604930211664642e-11, 2.399541927897950965447863495074910322552410081226759270966602e-12, 1.679108441896732974456456195021048198285552771033686283521003e-12, -5.688326582012783070559328035350356616163807538811872116072541e-14, -4.057351322008929507004790032757210978914475486123608161502457e-14 }; static const TYPE CAT(coif11_, TYPE)[66] = { -3.002841270578181341151286551992204393218350582050331595402947e-08, 4.122272295217427667266356780879156258114498741519631516920331e-08, 6.724990810124306151562398023851821394904913501570357570065506e-07, -9.541360761072246280269422180608056185383175100955611359233360e-07, -7.202532561401011173077639437360684947826378373817567768549254e-06, 1.063453162485789261522879856606560854907350313528134680849924e-05, 4.909272375475312318494348591512780526373439988508822238418822e-05, -7.613184050961339338779773068101736230733664198546980476770618e-05, -2.390784892821873979161511417107775995428809136314600188678204e-04, 3.943679383279311167583246559267867071442290440944189999981643e-04, 8.853493370435959653823385085809947651235906281219659248568656e-04, -1.581686514051756535736270395427784669332587895176156014356356e-03, -2.590742746810224935563114329456904019725483278674143464295211e-03, 5.149870818465970012295826228755714553228583889769273657074563e-03, 6.145845672897527026066671647152239861924038000733917998375367e-03, -1.419393259281191647250120633508339618223543447429480888885451e-02, -1.203207413449444640173778009728050814154121296076212013667261e-02, 3.486923068039100484429764121043168480751638068774959794674373e-02, 1.969083876878412756398286849757105734674338626918970666727437e-02, -8.449176235282616008524865397153001199569198030863676330987291e-02, -2.718999570426944985720147291173682797300682913513030026037261e-02, 3.080790765578655262603080397883700945436205022547475195838858e-01, 5.318981263183423043747894675482113686160804211740980090048888e-01, 3.153211471627422880186647707469009438784368258990685746892257e-01, -3.195766007061928848761664009258043321006644364041143491101353e-02, -9.124769812610534134560255473252823728312230005712995741316249e-02, 2.745384767698916118757918507086581985709771313695467894960792e-02, 4.069416828919323054368101934164054080633716017333800953161065e-02, -2.029580028320762422710091483209306643651315777764043153811346e-02, -1.877019961372162622019431440913198179510661354819964912645659e-02, 1.296101510005597271938818874849814161448679262503765364267420e-02, 8.380611488139723458203988762791929393262625838897962724368728e-03, -7.184830591966413369120495146871921423473823635538498945128881e-03, -3.609859908793898337842135309705990038242466823111355909651691e-03, 3.480855644490575075872348257576088455972056599653664736521251e-03, 1.519587122349825377958385405834371021723021014013798688930949e-03, -1.487476950041717485556524898256248562236771186568035610613046e-03, -6.266221323526552965740711288191177473318091288369663188353385e-04, 5.669194750141824007727306877180277155664136228075876060283768e-04, 2.483548169561553353815465009266736653140504966736322870003302e-04, -1.947562130464613262021359493483333444690328898219310892360572e-04, -9.182970970440133704016563635061723131880458403925476794220964e-05, 6.068684153958316426511545635539425250648039719186543457181453e-05, 3.088900022390199858477343797815906237906306891829977141838519e-05, -1.713715146668224571508596341585374794778243270230714316209873e-05, -9.308177549019247529116617185853630140339620355105237169582950e-06, 4.350944607244218897315593155029012286145084684860699651446177e-06, 2.489826198091695152209251895295085602387717821947484457226637e-06, -9.810226131982706356161587985205307909654994261025367440308819e-07, -5.860477917929613862778466907321520994203794368308376828863000e-07, 1.935841542281693216091905456706113598339749921662496254592563e-07, 1.199713894157469549665332933845486904444785619477457333399722e-07, -3.286315290852867745345772422742964814900623793534583508718160e-08, -2.102733655956564692974301994118024161699559390143901211493212e-08, 4.697313377266824850774441291113868308618121213665395500265262e-09, 3.091127346541495169376181275469205804231142302008934448079057e-09, -5.492931291038498819123339772152269159856609319161416280911575e-10, -3.705832674015332129353734352375876066802108394411578196121359e-10, 5.043003455436262175385618694799102815016439527671656113021805e-11, 3.478819684783597645372027295624442362976569795450758846730982e-11, -3.407139658961008818238265022607619145960800136177153397899540e-12, -2.397817050423233350570935216927526718398777501751418933159848e-12, 1.505627237721835119751916336971964703936303188134672123458877e-13, 1.078921592982513510792367677790040203074764526102391850430293e-13, -3.263876236830110071269528317803593334490309684938793753165837e-15, -2.377548488823423543125139291778920077224497814021891145988281e-15, }; static const TYPE CAT(coif12_, TYPE)[72] = { 7.332768095940030936479170284005726526900547838823690875511772e-09, -9.882788960094173321966534093367099204293628590516819427395258e-09, -1.789770690933674811780047200109598433010386971973430500672055e-07, 2.482235718295242398333562594286195512316082783324858732252918e-07, 2.096862898770904613564680054212556937787154121601629543533841e-06, -3.008997523302885197296541933722942006923516241629763269568385e-06, -1.569727511606401439531655092040058072751445499110659438977086e-05, 2.347282446659006948884988502182500910534796840878776320306027e-05, 8.432620671960839513456175441990492843161437159914478159180496e-05, -1.326465700910231806666155456982630828426491024439193157580022e-04, -3.461069031961523260598540665989975463806418435597964924450827e-04, 5.801724592109383434087721189210231779950668973412340708531782e-04, 1.128329952931538448642997807830809340563912699376148776100497e-03, -2.052978207989856468257756671236218003175082899217794093393105e-03, -2.998854718805581165102352821152213608341151163107294684246684e-03, 6.087234661002692098937246236052456417362244403536977448648695e-03, 6.618258248500649305698119745808151708404790949797235636697129e-03, -1.565844764466259880161945578291943699894979290174981301878469e-02, -1.229143532595011743051583354556862863433008454113067034110364e-02, 3.663359030520896940491446552702346213307676159344592871561174e-02, 1.940158311172772932244832520273815443263367988550797208188773e-02, -8.602421369693663560157681223178103065887873009243441444273671e-02, -2.622309610147498279896640360042796723325043337619084753451538e-02, 3.087901191936800440665016928578559620370136549385877375418705e-01, 5.305215546028922252760737677862501004955798466743925981589890e-01, 3.157101125097144187884255713018906584467729236429617965600542e-01, -3.072728270411850832025519617026920233823691270616686168610683e-02, -9.252355517407954901591096183036942267909813631619741203079509e-02, 2.685426980489526041311526911968158600872135457665305597171601e-02, 4.231906584194910461336004572125137067789978502941750699346161e-02, -2.044171277278771763990740324636394218858904394719947562326197e-02, -2.023145788215137568397333973747514178822985181848891022548418e-02, 1.360136074289957261858358098198061002684141161420690992513613e-02, 9.426267566785124441978318969535742805562416304113067761168412e-03, -7.945708281838580982329878679291156067815423974682242221896984e-03, -4.244616137562462768873148640133872748101997290450405726506771e-03, 4.099701294107222470709340142349077619300436310693220618061200e-03, 1.865723923369076273507077887878603520484228647302554964863350e-03, -1.883095146836284131126558963690882906898471660722337699052360e-03, -8.050306441934266570411103136671969129999167330943811990532568e-04, 7.774244768363498320173652454360791629397769478205798411568457e-04, 3.372847962851042846971724663631080138529114657505401824166820e-04, -2.913208318185371820345028586920081498099751816901944041981459e-04, -1.340525559954698716569234001877227886256687091468901002407760e-04, 9.982127673611594435680485331533411291981760920599082733502195e-05, 4.937348728732130704294498684307923950522584256106944886949448e-05, -3.135036716312241024722693180559594774556478340860978546951440e-05, -1.658147773498940772484726369548058692747045913396859511266770e-05, 8.993369381780249884815177697768622600696214964193331328463550e-06, 5.029634518357754652723486937747064581822127275361432214835696e-06, -2.337864167664466494570925080931611944904459384149351585277512e-06, -1.368676631106717262348517888568825801321041470548296848624890e-06, 5.450688318062644286926839313049161286349015828217309026636711e-07, 3.316523922200394953147539061914190708715734274178414348860243e-07, -1.126508114108817402586366374763002332801656314726353024056859e-07, -7.087035083421007145362900821929976013240319835720189106840565e-08, 2.036136552214949970328712725606531020556011014972233106738542e-08, 1.319046726965912968164902682289037946241823978447803297147618e-08, -3.166087228464481990319888550523695148079523238750557992010525e-09, -2.104991149449598511738256933418413456831105806964526595267674e-09, 4.146945431639040971236501326093312709747378328969720686955287e-10, 2.821776098897944456514363403112985675647966425504805181915693e-10, -4.446983453406239471384232757602885317329111550023751533862821e-11, -3.089624808780293616300620576734718588630028421505260673719541e-11, 3.747462360879854551489729939613548244791307999347455031364712e-12, 2.653081274384644726529610503659130177381947905208003616541403e-12, -2.326413554174593468421370682954805683688973923244290583476656e-13, -1.675405289088832668656302656638525011959950143853262083260676e-13, 9.457233677790636292829124094363707169383163229929980763002159e-15, 6.917698090475727804437168736067302147625040054118083556555473e-15, -1.888230812078774308964339134901795324778762733781901178118498e-16, -1.401017335540698807093219863467094751924636611380629198255055e-16 }; static const TYPE CAT(coif13_, TYPE)[78] = { -1.793548393002850396214718676857202286659666424187461477734916e-09, 2.378211185014311786110879108757436954350720046766491611553072e-09, 4.738378239463632066007380653022285879027956504083662158044852e-08, -6.443042549205366017018471056937057609502890297774359019447097e-08, -6.027665210865901726655682284996751140817763415224888556619716e-07, 8.442063562432018658923481573987170154629168292318465207460091e-07, 4.916019713173742217516567081751095460187255617230097133575212e-06, -7.131597545851986841244858233956149652674565400158665885083228e-06, -2.887621717983862897214028125602451735414281976333647039362767e-05, 4.370659106170444884665034460659021177081728764017693131624860e-05, 1.301010589502334343162340998315752253281092458614582842230339e-04, -2.074517436437432445981843921824038136707694799228389255014386e-04, -4.675659350970496983228743630930465551287595323790670572391233e-04, 7.958726623965077575159821003474228536032266651825968350366428e-04, 1.376238684291389421260151294679793034786767219476646917508650e-03, -2.547925839943045924066603828685111513038130582703762656864035e-03, -3.380448382429659921946074764411430359936216225160144993981999e-03, 6.999176747558747594441502446219623982632259493449887383625331e-03, 7.025277873701559172377638256697086265819697238858476588169332e-03, -1.700403721911182477272019360628329604078467241211115244215388e-02, -1.248110041093927898560561468789729670710805348798639274049645e-02, 3.818992191138900815386778979798299217649095657811074673392633e-02, 1.910593122449920408487253901211150453954067290839567103918095e-02, -8.734123305433746527793626123316474698117075663794485992246041e-02, -2.535440772516182914289995632242460491764482405133781896194027e-02, 3.093942491825020619708297996329932122162946840728332042771585e-01, 5.293074910143676049377270336094486347453907972435992671221709e-01, 3.160379244009616024122892848920228469630372079810266391126280e-01, -2.962163220306191371882270857478632946112548274231313092509283e-02, -9.361576444399936039733984609999327008143196158286264947803189e-02, 2.626405247194866459650693584890446232517026215635389354877327e-02, 4.374461075475828517065334688194008307695911637366798984389094e-02, -2.049134157245617651216272008653608168147661681048849172375451e-02, -2.155975349513035485872319905355436164781967949252709342828195e-02, 1.411469715539851095863611028564527062867149436850684547048665e-02, 1.042015012705080744964255765999888273943255976544095301354753e-02, -8.618241965220092705853657584595597150491673418403411002408392e-03, -4.878411229018901327291501121500987653856731550945133361152065e-03, 4.689231319014487945639277139124902021493524893685817080310457e-03, 2.228006944652422042461995816835639158465376266146249271470082e-03, -2.289300216009735975701956488620738834491684014507704186201093e-03, -9.995141996257751415873914459680403989351818715310372734784204e-04, 1.011237075436018016549433779140494575127827962961245293854167e-03, 4.381342083712223181655422780539654899256457840343499415845070e-04, -4.077800844935014982451276827385817092870017635124843071185474e-04, -1.844040745436007917646038575655224990196066190810660605304526e-04, 1.512620828188999164176721097533404532449113024454664717717400e-04, 7.298889914269074881614764112188558106800789316340412477261329e-05, -5.182922229726125421401881179344203187294861819954288822285889e-05, -2.672839739746518397507211250706440905085295052637683361350922e-05, 1.639620996879063097510387977200493175731056979428359020893174e-05, 8.963666558523048764112718546851367368030517279319460108445549e-06, -4.766464838000155192746436553819324857933144402808057358218020e-06, -2.735466156072759824467664346873929524570661158335396527180534e-06, 1.263996241706422344627321843525682342021921638088785036829943e-06, 7.554924136965026151745000640360811330632516737592082697244460e-07, -3.031372027194064857797292192738025195545051465615020648049694e-07, -1.876153353569459383609680347900216851365226014600160596860682e-07, 6.512178154867684103162618794588474859582328666119453018835115e-08, 4.155335593309412282776259416691605536103007067016402041304343e-08, -1.239596814755558143100692869308986827004606690663547726503092e-08, -8.126161332398177051328184604237057975154642800593274318357692e-09, 2.063790114950702612059895249532033343340137201326403800942906e-09, 1.385901944573589656765876273409079665095347609123824623959651e-09, -2.957224178853409095488876110988057035662351440629962056952036e-10, -2.029311934113340193298299122766339237347606272015477168851847e-10, 3.571772829282367453820656456837216050596922160503361259637188e-11, 2.499410377682389724091314347623318996671569127462013112818877e-11, -3.534890218851825710748828088218388133415831376956616696797412e-12, -2.517884527624136958659745558559312992706644927689162729125510e-12, 2.751761925220381284379520354168022844435052022760463778480642e-13, 1.992032170370043447922955009924406643179442598661368210363579e-13, -1.579660989452381199649841550208895174521301273998672860864606e-14, -1.160591617584672995112625842000957667465588057411636690187883e-14, 5.944365969270122882900608066221185975352672745351687370149379e-16, 4.427175531427877551269875594300908130209116956704562714053338e-16, -1.099853008896742180355036418837212161914020836623592509294684e-17, -8.294635939298345162821665414627459859677158780165562383375210e-18 }; static const TYPE CAT(coif14_, TYPE)[84] = { 4.393123283287643046743977676392679809833123671791969857529554e-10, -5.740995333980705032482946798804467194492616738218164095035288e-10, -1.248927009234748737577807595315202881486499763243765085950971e-08, 1.668938708534669081372944925855130859570883667030296283192275e-08, 1.714224718466457012729254240886670886351889068326223437908249e-07, -2.350888489707823711598280869672645467891128086655653747378426e-07, -1.512829449512444398231569819651340325454203862764615475827846e-06, 2.138843028494803759906484297432258680083063727505990520765838e-06, 9.645189410175859129875925155219070194081512175741287765540858e-06, -1.413900766434184664705667161036292966126778120705989526301092e-05, -4.732386374886606069931596084808261069441902397080602834581236e-05, 7.246665915416318653041426061722482786676878913517175624718883e-05, 1.858717516638060924675018895058421783537325657288962327083514e-04, -3.002639346667087045056450058456524356780635529605230858304448e-04, -6.001981648119978322839905692747076742955350870879313864711891e-04, 1.036704424281183769332139455241059670502046121189437350622494e-03, 1.624019729102622430009407806264396637075700567293622239292888e-03, -3.056866654227471285910973139305702040302592610826831936007958e-03, -3.734374338375411359548223317593068662165508326760318658468879e-03, 7.878974156362307531137246310651783340668870035859860685992973e-03, 7.375794892775370758210034597418329565084392014608514718594919e-03, -1.824112316356241062692741179162085194558935295694349102012547e-02, -1.261644961352131486551701382111180567640901225706461078977920e-02, 3.957213740580164637883912093052435411100033612855489943952285e-02, 1.881013375897047936537530404984248905528105177371268733601760e-02, -8.848531745012440411869086432922856738256941097681738588710806e-02, -2.456831883802970358635588048610460583666496666472048714250036e-02, 3.099141258514769597675719014297798938256245460277150903434604e-01, 5.282263993480420420172683726700426615634588134049161997619639e-01, 3.163176118910136471847844244749096048202155473691440639981631e-01, -2.862162705070505721847062425772578719710517153178747344517326e-02, -9.456098562568806415195259578154116428430268415200065101526812e-02, 2.569051606124748855707310139514692975138855764331441058027644e-02, 4.500466183802795354926526381495033532360504829689303112753676e-02, -2.047021532120584933449635791950977974026461349249053431599797e-02, -2.277014831481950414178652294664971699995306130850012029895679e-02, 1.452361964346076643465698934593935628651549016326324569145137e-02, 1.136128541937039082819287050631790459539185066230834792169280e-02, -9.209420947381265408066732190659507079985769827890316211408732e-03, -5.504969422021670816364481890406139436891358063842746391250159e-03, 5.243747074749862954985821475569406094355637198674133818712452e-03, 2.601674598427237622587421382305601947017094209097298433834035e-03, -2.697275841549192002303803931030430917736443859609363181433549e-03, -1.207776471356184889908600913725134183482141825908028112001291e-03, 1.262622737054852256202461193382270265994430106051249583099008e-03, 5.499311966045329956589364039445100979613421696316486920186038e-04, -5.422272627380624698839955658312215512244309349484916450185708e-04, -2.425184361340171436100075350681685661504913784969748899389596e-04, 2.152149496400025476355694208172147853936641059086477755698365e-04, 1.017555903218396117566574602158457196612571864784370737617320e-04, -7.935125388684553688655161870002244461407761128159434896618062e-05, -3.998277597219932662226493843559158394980004861650575475073792e-05, 2.721796546580936689236981518793293817082739932936290854597108e-05, 1.455457611510765292828084081835640403374221862390765492386559e-05, -8.665251169633984802148726995857663363842070697439942022312573e-06, -4.876002876304524386897822246961544519628259634511055566637692e-06, 2.547630497377554690874245620888763103208548188356120375663417e-06, 1.496291521165122830795751824395745883743697658779928306182602e-06, -6.871963182955767930114979093149987762546939511820085867823395e-07, -4.186054213338905216716743937485713975287167010801084873077525e-07, 1.688323085510447043387946782295494719025294305992339556134599e-07, 1.061608664532340347260400721455574451686604605297267706650340e-07, -3.748126052504886126462262044258726754387739289902914735975186e-08, -2.423790421295234792457591882318039900764790491363232906013318e-08, 7.451944128021296384873848910815562162615603046168848323657834e-09, 4.940829113027976152032509192714512864500880531926251999539656e-09, -1.313004290651891746787587770064129324937346786322188934177725e-09, -8.903006190166202390134120838864396696475015840820998020804486e-10, 2.024339408983577773846670331538285833569817328592031229378977e-10, 1.400716332649913272902011493738096845560270049348128272163217e-10, -2.687843639588594104182180535839092397502172743578767496300069e-11, -1.894326416951989057103502558801200560928286148276804817046860e-11, 3.010449065125004813763195657162392547592377042598795440577733e-12, 2.157549110009031291962129877779262524544188824969196959112637e-12, -2.765131213310687469788780767616475716770096486689988092675382e-13, -2.012365100006663638325338350119352463903184738855668161185981e-13, 1.999559651890099694974046277400337493312467655228527142562129e-14, 1.475855904098499257323658940826580143845487753742438097885182e-14, -1.067284385873308952698526062594338734883390319779112369515680e-15, -7.980454732861187078908378609623987154745352892645906516335706e-16, 3.737960558513592434172838302437103561627990707012528832920768e-17, 2.828736827706445597408742152789813333751511825684331285246309e-17, -6.443221017103948534696419228196665121335677484790396728190832e-19, -4.930480277882556230626331748820167974609092329853622801401922e-19 }; static const TYPE CAT(coif15_, TYPE)[90] = { -1.077388305690034925568519317607342584913833777614742512289616e-10, 1.389587596342677833974329883522061230029685955993897881938371e-10, 3.279393998194510988634872448273529681786105568152537128188232e-09, -4.314917428064750425742001408005222171763816486950620059656063e-09, -4.830480955281757774084367520164529040833872636548135345926328e-08, 6.503442589750190197880818956936279316947206899423481669747179e-08, 4.586202226530976939526210331832939590139698224375343383858299e-07, -6.341483528169214053400193756836695190022413814118163945498651e-07, -3.153995479916402549978249764513192992770609509053150015780527e-06, 4.499804120432346419024095680248633407936442025574963153980269e-06, 1.673949137596284707730217911852880032270066826000466620282769e-05, -2.478673953689472562808496884430051456931244781632393118270780e-05, -7.133403721727709318079068467834164023289442323885459167236538e-05, 1.104625554161070296128803495762953054143520115043831806016786e-04, 2.507269022498110858235302333943956572610456366436693548255909e-04, -4.101297424840067893342949874400724512592760895309517943587399e-04, -7.410047143677847135223722282750946641042780322618912256742384e-04, 1.298007949810447142342589176001928848518589813981439840532480e-03, 1.868002036616641522111287518387513439361411763383193116215989e-03, -3.572228252449254403963990114096416980805538949675814075573840e-03, -4.060845546989816000749383711188465103702344678606463573419343e-03, 8.722973601634679156834244798678586473379340842447624760010613e-03, 7.677632624610885216379589736677645849428563543670856456892832e-03, -1.937998629272623327245351651340032378963145895629830248355253e-02, -1.270912987080621205738379925710726654478701862241529402092432e-02, 4.080738066060462170763876758586958836909785300855426384151542e-02, 1.851809057592325149969383820293931082576986760496903450942510e-02, -8.948849897626424781521688387105939501138967888885573845565360e-02, -2.385247670399674430387895964623311594722573671400958395974253e-02, 3.103664257008206645231191613171869470278587854279025003466673e-01, 5.272557364814477983716848071901714167787737772153872785679251e-01, 3.165587650075045121866443592930838541058283366878004666876859e-01, -2.771191753156204367193336798361266628380497625857187392479985e-02, -9.538675074777090841664081647061476726485316724852952970342536e-02, 2.513756235583785139515577768765056710377747798734684870047976e-02, 4.612595054152007266785799039333521785448817048938105661049367e-02, -2.039697130032260717744814776948275153234836586193746022325595e-02, -2.387610261602642412532087773123245712932154519493636933580111e-02, 1.484665336652742504720315601481410278546028124094856659564326e-02, 1.225045078722903548958708772567092776061773279630721958212731e-02, -9.727026988684677132100204448228164919286050721340500899358847e-03, -6.119790408666201569472108881793143052368912545364690258267249e-03, 5.760546284765569349029577236247005441326471924211526110831333e-03, 2.982639689783411796793051935450475228274526754982054792962250e-03, -3.100326747810698908670357861857946527442099277807566353764288e-03, -1.427598950056448560388339550760364489836477975524209634886824e-03, 1.526288902864820487351136408213978592286541943096968601069530e-03, 6.716807141163574375155812673929624759515069203426478824767004e-04, -6.923091961922026215168169239588952998971619503794813547976866e-04, -3.079753690537485675760336348529151045406687032785607559287851e-04, 2.913765589242728312575501892839254155123375897451413662654452e-04, 1.355892883935182989877008830272296210763299728475431240359051e-04, -1.144136457600174453829439526659056859019745676077854858593439e-04, -5.647366526527395256230283878165734782055526539079541637152500e-05, 4.202814469137045804231920127700407277374824908280103138814183e-05, 2.200691925199183606470694553320593703444346894670462898724267e-05, -1.443487126829503983751150823245149445739823542713233210642676e-05, -7.967044068720793687142187645523516573594381036006224439668751e-06, 4.620529572512414091638085200280358471196525782083614164517925e-06, 2.667271171141226202145908685103109359180536100787642097511661e-06, -1.371646007677255108283723404199936479217347063529498435611186e-06, -8.226257775777933787075210506019317042435483731184419620540542e-07, 3.754707488446600189267042303254271529522879725934705336303128e-07, 2.327460534735607792375886758810039203536663498026314128685740e-07, -9.419176207630012538547307468277369699399418776908683708933552e-08, -6.010901363192621272223652431192551853015388169886067903126279e-08, 2.151040529867103646106333296464104096442766675831068812680466e-08, 1.408663721444152455727196509866657267275259238167897249854527e-08, -4.438471764420978016551707826632529934591397495469950610230150e-09, -2.974872318653716789002892729632634360902192191395110942422961e-09, 8.203736354629479986724051586473684219941281670765722417668819e-10, 5.614906982011763291961026759329761169245818883997411717426871e-10, -1.344369082215606926514414754427875310059984578418456061162278e-10, -9.377858898150921640144384471918102613403240839501295781875527e-11, 1.928845257086926701816336874687366534718638777936590534635229e-11, 1.369011182657074022662376575505428888871791726174235399548870e-11, -2.384934840461770473688929159579828219691317417791483110727798e-12, -1.719778967631011393923929779685944798509748321140853638527672e-12, 2.489379237039083598560573205355055108535626207998662168681925e-13, 1.821429711569697474507499816102915339752696477298299745504329e-13, -2.132622020734041001406592439010728287329439597809749096351270e-14, -1.581480392919139876757416822279485491215786823105416373080481e-14, 1.439584163156225165032712921349710482363055530913169445190637e-15, 1.080870877608085873106724565550332487149959687560803170944524e-15, -7.178988398852581130761463819471838970960348029733518906208378e-17, -5.452456075593213060858973182314766684639894698667113525487884e-17, 2.351146114661327422889598894161189162646924206890382575430334e-18, 1.804873032260938513483901979969512893697634895683128101624000e-18, -3.793093840880643734719632714511071568608235299231836638122279e-20, -2.940897685979289093951754752537580047693528343881245635936847e-20 }; static const TYPE CAT(coif16_, TYPE)[96] = { 2.645128227931334401194749017856094903839224759604187535975348e-11, -3.371203198492327805593180795398582247961552853458158404332701e-11, -8.582602955015851169989985547605915833769704579350018283905453e-10, 1.113682743874024896922872631560006089322116513037553196433140e-09, 1.350357555669007302187662129540475982947984508250679168402207e-08, -1.788542662216945768696335511240007863403120034978963421466759e-08, -1.372399767643349435868829666738563944471884881660198607643932e-07, 1.861142798232072777457875152815716474831537306031011659394987e-07, 1.012632916853084889127303847166996705778109099232881893357767e-06, -1.411391218929900871875409836854758822959995175269209988265964e-06, -5.780354906513060544090253238716694637224354416047278875195167e-06, 8.319552925349192408642980463945086193729912325909182155797371e-06, 2.656172937335282438452193694808438866757101525885555802877363e-05, -3.971488503705784806195172735954055483778562353132473949420383e-05, -1.009502477694915360037551527344779468467449497309371492607906e-04, 1.580205984850860534574382720595384850826996029171338643269624e-04, 3.235585956460851636390368611428001979093146497993005344305241e-04, -5.356766020478135601304959841352994036589791570941083598445719e-04, -8.873556546319179065472262621811119401586608437112185894641021e-04, 1.575478281351532632439717118803866388929199851338529206979138e-03, 2.105606651204431619054524746734864557623457229083947484722320e-03, -4.088191894353650561276869582147927639352373035186017974748492e-03, -4.360872292782198728376270454745337063294048791901294558973734e-03, 9.529568586822569351636224042126142702339784399550130407812201e-03, 7.937554616751835390855349461479084645184690272876975812761538e-03, -2.043028062273575036423529610008583445387419918322244014076844e-02, -1.276805798943377800134681508900535312774995954006995157514628e-02, 4.191756976239118832120686348770409281363202997039966458608067e-02, 1.823220381522837114361006424809362329414770645451392462449888e-02, -9.037537219708957768297195651417043288020180323453952191219619e-02, -2.319696593669936172505243393626168348704758643822052626742965e-02, 3.107636928082792940641010571409269845541349652957861643505019e-01, 5.263779607858160898968654079428530858936436413545697317378081e-01, 3.167685981610576430160454114053628826549777499820093838585069e-01, -2.688002764399130975457186260346246083982252335484396969696049e-02, -9.611413622779535731607299381683923415585409438866982806312433e-02, 2.460702264184366170433044783596672126378075093050623290409127e-02, 4.712982774514209557951414612253477983062538454664569371378627e-02, -2.028535796367687397692592233666898932654122251735124185611584e-02, -2.488947090480479804467455088466028171550905433401327138474797e-02, 1.509891466100476055081827485608676509355525843509560496666700e-02, 1.308946215944044192535019406077351673456069366724670016932535e-02, -1.017883680802027111277390598900318783317279547588070199634251e-02, -6.719748071003458935775571012030544444136724430402220957162335e-03, 6.238935489467385921022852560870393671940489207452244538094472e-03, 3.367468902298941859370206452925695206983662336670801038560071e-03, -3.493551700182803646132263836442232208288107750606295145197587e-03, -1.656892742742846792662641923332649254682158396970453428791079e-03, 1.797580707568879158693851162651173871535491718081800368907782e-03, 8.023813584888036977682855962559617079147220211451113235479547e-04, -8.554898439358329127957776138969823280630767426284649193621767e-04, -3.803250541195305567062453832052319106641157897723285573667716e-04, 3.790575215750319491406179627066855114144121793545714885424013e-04, 1.743405946247572050905785206176608832450147638063148826743472e-04, -1.572439781316405883265776380849622489840291930399907686729106e-04, -7.624948592584476281257978178990423864516589094309239278548039e-05, 6.128060596774506984228013865022369414316454857306786928520834e-05, 3.146741963266068084535293135528229727240575644439933447074425e-05, -2.245327295507508821937104934719536410602401822650676684612963e-05, -1.216243182507186686293172059854826389902098520645342122978134e-05, 7.720917364617828003652627867578175616946793895014715674935806e-06, 4.381753178661449645296516382515863584261691809111376008934184e-06, -2.482767124382555232483399147672417058164552715497813674691440e-06, -1.466343698163771614780524818641106403735083198445173705132776e-06, 7.432014174835368770981871416234950435655553162638884480980583e-07, 4.542989331759269644535718413196051785388101460827659003970839e-07, -2.060699879933986058206760300398806699720723820737944360367781e-07, -1.298170865048347187816076578378402307087125075336611133383038e-07, 5.264581641375993977610164728920521257086259803613235153366270e-08, 3.406393391619068289195417747073909213446800676676765817676367e-08, -1.232185691522856953729451450757280208371851915642712294292861e-08, -8.166093443152050070015881861916421702970930717440939870025784e-09, 2.625409011502555900921203294713520941212542142978903897341494e-09, 1.777971486566651937150629742259638331676290922471013840418127e-09, -5.055670327267217324394512474432436609546961385665820073629149e-10, -3.491603047784209234885018449563067499142505674739795662842523e-10, 8.724442027269310202793317644100398216549268990858642429012803e-11, 6.134056646089015827615754897419277972739575045939973674430929e-11, -1.335550933533140093069772884082926341856038121300357216420744e-11, -9.545001301055681232254913151946668780573427381542116387716243e-12, 1.791132091052570705585609717173338686203233385162086497884597e-12, 1.299479612944140546458425080979636378248568664374156541007765e-12, -2.071542478174027600308270770710599707024301130761618879837078e-13, -1.523876419589572596433135600175398293765409391592690642809664e-13, 2.024011564013098795384504309899456379953546444981404140928647e-14, 1.508090533430543564179721448102668377867975040540446828012097e-14, -1.624316869855319846554453444493486257563508484962017834581348e-15, -1.224719779181149805165600696876308523367619824015832031858679e-15, 1.027939569018525333323110570745538777072560620646729968488678e-16, 7.836461641294003176782800892601140107677607857155479918585838e-17, -4.809623970748619654544928861639842603928203458148585584400867e-18, -3.704428468500691125388142845245956973807333959654959653370468e-18, 1.479077310414365270465857340835402997778146774718460154867300e-19, 1.150168591577669048697174066699145993471476194503387272230234e-19, -2.242407694525583556140058750006128491924916204038852290292985e-21, -1.759447752651847364048938898264828071373418617420955762135442e-21 }; static const TYPE CAT(coif17_, TYPE)[102] = { -6.500464389707599365209386548586351053892021378458138653304423e-12, 8.195092532207287031929315133511822259455558174314608981943899e-12, 2.239711179183031212893330219097909418305437894719629936823048e-10, -2.869947756536888954496920486027606890198732779175975385193469e-10, -3.748652869247186892176371615982066497362408141014325378716294e-09, 4.892949218890121214706505923918329440794016605904313473814529e-09, 4.060535996907768482760233032378242455655290824022613838518523e-08, -5.412800273268200651966255945372126329232373624996043338727765e-08, -3.199646878369895994575449942065193991181771279589753273012370e-07, 4.369727725871308893880916467851990680716049438182815833632030e-07, 1.954675426993304663744299195821942913722501797065421760283585e-06, -2.745513146733188764932399232387671708256227137296795085887882e-06, -9.634412972188383779747780077033215938910939748761965263335434e-06, 1.398510128440620079969365258470536422184684456048432702271769e-05, 3.936982972446342694180294131275967364969863087882012583523302e-05, -5.942171285371293607280496067664382735077180061970981330506268e-05, -1.360187671549120330733322490500505609713066081377747046659631e-04, 2.151477677680517385918241110555023784071910115637214853600854e-04, 4.031846985142799308758422861627631567915210555326501592195629e-04, -6.753056524717059857256997400254135291064617085196739372670596e-04, -1.037019038482154436516186769361377053347840390147975287354903e-03, 1.865278399043969526599364729851177613810456808562792176901007e-03, 2.335092479166843852619505691860960037151295448017402395490464e-03, -4.600362410545124310128593731153519957157915045164845600048444e-03, -4.635901516367530468266774633995064938864595165304482662269926e-03, 1.029849878093488912016135237127927932437021681117450333050470e-02, 8.161354844742695166287867590528306934013230497272094086439853e-03, -2.140083454707180990471957764441619892415141666259178396074188e-02, -1.280013066407215003063560801494039614508212222821778081264683e-02, 4.292055861596262214973257156936151304056714777314126061614130e-02, 1.795390690266262592020002418739607395852481356276768335967618e-02, -9.116513012907441746922273129338011409075492893988681588200024e-02, -2.259372514218996220695158554614204610976204851195489170219594e-02, 3.111155431954246180810318298644662465180042749292370227009409e-01, 5.255791920096491971882691260862499824764740619924123678110320e-01, 3.169526419329032746356987532605638232939637480462148442295005e-01, -2.611571666365402171510563042119336240297149649416458785911946e-02, -9.675954853667507935197631998670465823029201914294383672129969e-02, 2.409947009460623399471523812196780471148876929014194101062573e-02, 4.803353218498044015416060073004473385881416575908077296603559e-02, -2.014561229992014297122142514992242081365435497050595479226927e-02, -2.582061660161950684110954569039206647948969052599286532681994e-02, 1.529272640253308240084109219531756056459883643674183337274434e-02, 1.388071397467832912373059115868453151221079623138136285750566e-02, -1.057221105345110246802817506341466648095287774314054180322389e-02, -7.302762653438232901227689142950547329538140829539078289487808e-03, 6.679525479155670944534388145244600799904556867195771509687913e-03, 3.753327910175261617061638983698597354605196849112621375976962e-03, -3.873502044238494209221075063035775273773018743760471430473527e-03, -1.893732606269440797293869629956889668362203362383552157238979e-03, 2.072543024867895178559272835210161485056077281253166510139696e-03, 9.410418747008923962829724903349867736584130840706583199324136e-04, -1.029236208596613388068225340603899734435060101885503041426292e-03, -4.591014336769466560134513688989777037625141817691452272446129e-04, 4.773008760819621131157362935521176506345390013016953367673484e-04, 2.178204082961996755621953357319268908714183698410765755733914e-04, -2.078309675413889310430737904787028903664009273165646558840663e-04, -9.929997042562200063281249722482587882228792457135570086630464e-05, 8.530214005775875557344845401830936434184861259249422544962929e-05, 4.303127018338600126871147843984523103940762542407178890295340e-05, -3.305701987257830145946843240723975476098534205446659095902282e-05, -1.758829650866963971776918784161632040379719078606077372721020e-05, 1.208769577843697327040603409274814451217826643812352568992268e-05, 6.746467675120962867147670937319739759733836479700116679771234e-06, -4.160355187316342019270990597595419877216228873682832991804769e-06, -2.420254904648915254014955740890841226083885744291947005091657e-06, 1.342994249603250343064678689811024077753583828488987218045940e-06, 8.097294554089061667504430331210249043842934823174097650144144e-07, -4.049444940788524829884048775715404594466969342774847971126013e-07, -2.518965167469206882003809454171378587968607051431751373150446e-07, 1.135553617795151208855033374367694728763504841965654332076720e-07, 7.261651917558697862566637161896385928154192436065001744633099e-08, -2.947980283978599533805321526934370923141985995773718687989809e-08, -1.932361910368835906234029388933678481624943182582035193495632e-08, 7.050321193690929766855893625237523724477327743751448148520006e-09, 4.725540898626838453733797773219853119997567959454100093653807e-09, -1.544890271654104814899353348226128082357337920194464818206503e-09, -1.056616142600432792887732860128652200494175165768667682069691e-09, 3.082594659999300699574359679210901640096775130739951087627160e-10, 2.147504833829198392113195006888709994262573995228896673552773e-10, -5.561286894620042086964943668161558452409502342704415471486767e-11, -3.940143496183440249847057247704879900653366187527397859030185e-11, 8.995643580413385770110048797179920790859544777777746910312038e-12, 6.472787221353141291937900214024339897450801045313739690950453e-12, -1.291529680835762905157565016413333440330657604408304192114484e-12, -9.426669651972276882689445158605509492502686267040217113580068e-13, 1.625527264466347733962941488626801955710436180523082414371005e-13, 1.202192377372031845627082725619201334357843245869818759928528e-13, -1.765518459644471564018808330096255160185888800253188548281582e-14, -1.321779015475951542862804164493083633990380882447565336832597e-14, 1.621075287427611093636143991429535087675201571842337901672180e-15, 1.227498087932053340876125326218310922521150243946862677354389e-15, -1.223432402366205698930334886661193082730379267225732134795174e-16, -9.362464931639200345906241184043712676525956780242932081695469e-17, 7.286307451400376946525901096753718888478670661483802452725131e-18, 5.631244920089436674573794405513798919334447045845529038034991e-18, -3.210669220728058803342344742726907080377349121830123276313938e-19, -2.504389307995414770751414118526232971373346964470499339128194e-19, 9.305380936099856808127703965979897197171695480831630403884988e-21, 7.321457794081650002123376485818067154029026613875178979778160e-21, -1.330546671429478643380151195298922795778536160301584472334406e-22, -1.055408614665356789775787814731337905514088897800715301399902e-22 }; static const TYPE CAT(bior1_0_, TYPE)[10] = { 0.0, 0.0, 0.0, 0.0, 0.70710678118654752440084436210, 0.70710678118654752440084436210, 0.0, 0.0, 0.0, 0.0 }; static const TYPE CAT(bior1_1_, TYPE)[2] = { 0.70710678118654752440084436210, 0.70710678118654752440084436210 }; static const TYPE CAT(bior1_3_, TYPE)[6] = { -0.0883883476483184405501055452631, 0.0883883476483184405501055452631, 0.70710678118654752440084436210, 0.70710678118654752440084436210, 0.0883883476483184405501055452631, -0.0883883476483184405501055452631 }; static const TYPE CAT(bior1_5_, TYPE)[10] = { 0.0165728151840597076031447897368, -0.0165728151840597076031447897368, -0.1215339780164378557563951247368, 0.1215339780164378557563951247368, 0.70710678118654752440084436210, 0.70710678118654752440084436210, 0.1215339780164378557563951247368, -0.1215339780164378557563951247368, -0.0165728151840597076031447897368, 0.0165728151840597076031447897368 }; static const TYPE CAT(bior2_0_, TYPE)[18] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3535533905932737622004221810524, 0.7071067811865475244008443621048, 0.3535533905932737622004221810524, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; static const TYPE CAT(bior2_2_, TYPE)[6] = { -0.1767766952966368811002110905262, 0.3535533905932737622004221810524, 1.0606601717798212866012665431573, 0.3535533905932737622004221810524, -0.1767766952966368811002110905262, 0.0 }; static const TYPE CAT(bior2_4_, TYPE)[10] = { 0.0331456303681194152062895794737, -0.0662912607362388304125791589473, -0.1767766952966368811002110905262, 0.4198446513295125926130013399998, 0.9943689110435824561886873842099, 0.4198446513295125926130013399998, -0.1767766952966368811002110905262, -0.0662912607362388304125791589473, 0.0331456303681194152062895794737, 0.0 }; static const TYPE CAT(bior2_6_, TYPE)[14] = { -0.0069053396600248781679769957237, 0.0138106793200497563359539914474, 0.0469563096881691715422435709210, -0.1077232986963880994204411332894, -0.1698713556366120029322340948025, 0.4474660099696121052849093228945, 0.9667475524034829435167794013152, 0.4474660099696121052849093228945, -0.1698713556366120029322340948025, -0.1077232986963880994204411332894, 0.0469563096881691715422435709210, 0.0138106793200497563359539914474, -0.0069053396600248781679769957237, 0.0}; static const TYPE CAT(bior2_8_, TYPE)[18] = { 0.0015105430506304420992449678146, -0.0030210861012608841984899356291, -0.0129475118625466465649568669819, 0.0289161098263541773284036695929, 0.0529984818906909399392234421792, -0.1349130736077360572068505539514, -0.1638291834340902345352542235443, 0.4625714404759165262773590010400, 0.9516421218971785225243297231697, 0.4625714404759165262773590010400, -0.1638291834340902345352542235443, -0.1349130736077360572068505539514, 0.0529984818906909399392234421792, 0.0289161098263541773284036695929, -0.0129475118625466465649568669819, -0.0030210861012608841984899356291, 0.0015105430506304420992449678146, 0.0 }; static const TYPE CAT(bior3_0_, TYPE)[20] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1767766952966368811002110905262, 0.5303300858899106433006332715786, 0.5303300858899106433006332715786, 0.1767766952966368811002110905262, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0} ; static const TYPE CAT(bior3_1_, TYPE)[4] = { -0.3535533905932737622004221810524, 1.0606601717798212866012665431573, 1.0606601717798212866012665431573, -0.3535533905932737622004221810524 }; static const TYPE CAT(bior3_3_, TYPE)[8] = { 0.0662912607362388304125791589473, -0.1988737822087164912377374768420, -0.1546796083845572709626847042104, 0.9943689110435824561886873842099, 0.9943689110435824561886873842099, -0.1546796083845572709626847042104, -0.1988737822087164912377374768420, 0.0662912607362388304125791589473 }; static const TYPE CAT(bior3_5_, TYPE)[12] = { -0.0138106793200497563359539914474, 0.0414320379601492690078619743421, 0.0524805814161890740766251675000, -0.2679271788089652729175074340788, -0.0718155324642587329469607555263, 0.9667475524034829435167794013152, 0.9667475524034829435167794013152, -0.0718155324642587329469607555263, -0.2679271788089652729175074340788, 0.0524805814161890740766251675000, 0.0414320379601492690078619743421, -0.0138106793200497563359539914474 }; static const TYPE CAT(bior3_7_, TYPE)[16] = { 0.0030210861012608841984899356291, -0.0090632583037826525954698068873, -0.0168317654213106405344439270765, 0.0746639850740189951912512662623, 0.0313329787073628846871956180962, -0.3011591259228349991008967259990, -0.0264992409453454699696117210896, 0.9516421218971785225243297231697, 0.9516421218971785225243297231697, -0.0264992409453454699696117210896, -0.3011591259228349991008967259990, 0.0313329787073628846871956180962, 0.0746639850740189951912512662623, -0.0168317654213106405344439270765, -0.0090632583037826525954698068873, 0.0030210861012608841984899356291 }; static const TYPE CAT(bior3_9_, TYPE)[20] = { -0.0006797443727836989446602355165, 0.0020392331183510968339807065496, 0.0050603192196119810324706421788, -0.0206189126411055346546938106687, -0.0141127879301758447558029850103, 0.0991347824942321571990197448581, 0.0123001362694193142367090236328, -0.3201919683607785695513833204624, 0.0020500227115698857061181706055, 0.9421257006782067372990864259380, 0.9421257006782067372990864259380, 0.0020500227115698857061181706055, -0.3201919683607785695513833204624, 0.0123001362694193142367090236328, 0.0991347824942321571990197448581, -0.0141127879301758447558029850103, -0.0206189126411055346546938106687, 0.0050603192196119810324706421788, 0.0020392331183510968339807065496, -0.0006797443727836989446602355165 }; static const TYPE CAT(bior4_0_, TYPE)[10] = { 0.0, -0.064538882628697058, -0.040689417609164058, 0.41809227322161724, 0.7884856164055829, 0.41809227322161724, -0.040689417609164058, -0.064538882628697058, 0.0, 0.0 }; static const TYPE CAT(bior4_4_, TYPE)[10] = { 0.03782845550726404, -0.023849465019556843, -0.11062440441843718,0.37740285561283066, 0.85269867900889385,0.37740285561283066, -0.11062440441843718, -0.023849465019556843, 0.03782845550726404, 0.0 }; static const TYPE CAT(bior5_0_, TYPE)[12] = { 0.013456709459118716, -0.0026949668801115071, -0.13670658466432914, -0.093504697400938863, 0.47680326579848425, 0.89950610974864842, 0.47680326579848425, -0.093504697400938863, -0.13670658466432914, -0.0026949668801115071, 0.013456709459118716, 0.0 }; static const TYPE CAT(bior5_5_, TYPE)[12] = { 0.0, 0.03968708834740544, 0.0079481086372403219, -0.054463788468236907, 0.34560528195603346,0.73666018142821055, 0.34560528195603346, -0.054463788468236907, 0.0079481086372403219, 0.03968708834740544, 0.0, 0.0 }; static const TYPE CAT(bior6_0_, TYPE)[18] = { 0.0, 0.0, 0.0, 0.014426282505624435, 0.014467504896790148, -0.078722001062628819, -0.040367979030339923, 0.41784910915027457, 0.75890772945365415, 0.41784910915027457, -0.040367979030339923, -0.078722001062628819, 0.014467504896790148, 0.014426282505624435, 0.0, 0.0, 0.0, 0.0 }; static const TYPE CAT(bior6_8_, TYPE)[18] = { 0.0019088317364812906, -0.0019142861290887667, -0.016990639867602342, 0.01193456527972926, 0.04973290349094079, -0.077263173167204144, -0.09405920349573646, 0.42079628460982682, 0.82592299745840225, 0.42079628460982682, -0.09405920349573646, -0.077263173167204144, 0.04973290349094079, 0.01193456527972926, -0.016990639867602342, -0.0019142861290887667, 0.0019088317364812906, 0.0 }; static const TYPE CAT(dmey_, TYPE)[62] = { -1.0099999569414229e-012, 8.519459636796214e-009, -1.111944952595278e-008, -1.0798819539621958e-008, 6.0669757413511352e-008, -1.0866516536735883e-007, 8.2006806503864813e-008, 1.1783004497663934e-007, -5.5063405652522782e-007, 1.1307947017916706e-006, -1.4895492164971559e-006, 7.367572885903746e-007, 3.2054419133447798e-006, -1.6312699734552807e-005, 6.5543059305751491e-005, -0.00060115023435160925, -0.002704672124643725, 0.0022025341009110021, 0.006045814097323304, -0.0063877183184971563, -0.011061496392513451, 0.015270015130934803, 0.017423434103729693, -0.032130793990211758, -0.024348745906078023, 0.063739024322801596, 0.030655091960824263, -0.13284520043622938, -0.035087555656258346, 0.44459300275757724, 0.74458559231880628, 0.44459300275757724, -0.035087555656258346, -0.13284520043622938, 0.030655091960824263, 0.063739024322801596, -0.024348745906078023, -0.032130793990211758, 0.017423434103729693, 0.015270015130934803, -0.011061496392513451, -0.0063877183184971563, 0.006045814097323304, 0.0022025341009110021, -0.002704672124643725, -0.00060115023435160925, 6.5543059305751491e-005, -1.6312699734552807e-005, 3.2054419133447798e-006, 7.367572885903746e-007, -1.4895492164971559e-006, 1.1307947017916706e-006, -5.5063405652522782e-007, 1.1783004497663934e-007, 8.2006806503864813e-008, -1.0866516536735883e-007, 6.0669757413511352e-008, -1.0798819539621958e-008, -1.111944952595278e-008, 8.519459636796214e-009, -1.0099999569414229e-012, 0.0 }; static const TYPE * const CAT(db_, TYPE)[38] = { CAT(db1_, TYPE), CAT(db2_, TYPE), CAT(db3_, TYPE), CAT(db4_, TYPE), CAT(db5_, TYPE), CAT(db6_, TYPE), CAT(db7_, TYPE), CAT(db8_, TYPE), CAT(db9_, TYPE), CAT(db10_, TYPE), CAT(db11_, TYPE), CAT(db12_, TYPE), CAT(db13_, TYPE), CAT(db14_, TYPE), CAT(db15_, TYPE), CAT(db16_, TYPE), CAT(db17_, TYPE), CAT(db18_, TYPE), CAT(db19_, TYPE), CAT(db20_, TYPE), CAT(db21_, TYPE), CAT(db22_, TYPE), CAT(db23_, TYPE), CAT(db24_, TYPE), CAT(db25_, TYPE), CAT(db26_, TYPE), CAT(db27_, TYPE), CAT(db28_, TYPE), CAT(db29_, TYPE), CAT(db30_, TYPE), CAT(db31_, TYPE), CAT(db32_, TYPE), CAT(db33_, TYPE), CAT(db34_, TYPE), CAT(db35_, TYPE), CAT(db36_, TYPE), CAT(db37_, TYPE), CAT(db38_, TYPE), }; static const TYPE * const CAT(sym_, TYPE)[19] = { CAT(sym2_, TYPE), CAT(sym3_, TYPE), CAT(sym4_, TYPE), CAT(sym5_, TYPE), CAT(sym6_, TYPE), CAT(sym7_, TYPE), CAT(sym8_, TYPE), CAT(sym9_, TYPE), CAT(sym10_, TYPE), CAT(sym11_, TYPE), CAT(sym12_, TYPE), CAT(sym13_, TYPE), CAT(sym14_, TYPE), CAT(sym15_, TYPE), CAT(sym16_, TYPE), CAT(sym17_, TYPE), CAT(sym18_, TYPE), CAT(sym19_, TYPE), CAT(sym20_, TYPE), }; static const TYPE * const CAT(coif_, TYPE)[17] = { CAT(coif1_, TYPE), CAT(coif2_, TYPE), CAT(coif3_, TYPE), CAT(coif4_, TYPE), CAT(coif5_, TYPE), CAT(coif6_, TYPE), CAT(coif7_, TYPE), CAT(coif8_, TYPE), CAT(coif9_, TYPE), CAT(coif10_, TYPE), CAT(coif11_, TYPE), CAT(coif12_, TYPE), CAT(coif13_, TYPE), CAT(coif14_, TYPE), CAT(coif15_, TYPE), CAT(coif16_, TYPE), CAT(coif17_, TYPE), }; static const TYPE * const CAT(bior1_, TYPE)[4] = { CAT(bior1_0_, TYPE), CAT(bior1_1_, TYPE), CAT(bior1_3_, TYPE), CAT(bior1_5_, TYPE), }; static const TYPE * const CAT(bior2_, TYPE)[5] = { CAT(bior2_0_, TYPE), CAT(bior2_2_, TYPE), CAT(bior2_4_, TYPE), CAT(bior2_6_, TYPE), CAT(bior2_8_, TYPE), }; static const TYPE * const CAT(bior3_, TYPE)[6] = { CAT(bior3_0_, TYPE), CAT(bior3_1_, TYPE), CAT(bior3_3_, TYPE), CAT(bior3_5_, TYPE), CAT(bior3_7_, TYPE), CAT(bior3_9_, TYPE), }; static const TYPE * const CAT(bior4_, TYPE)[2] = { CAT(bior4_0_, TYPE), CAT(bior4_4_, TYPE), }; static const TYPE * const CAT(bior5_, TYPE)[2] = { CAT(bior5_0_, TYPE), CAT(bior5_5_, TYPE), }; static const TYPE * const CAT(bior6_, TYPE)[2] = { CAT(bior6_0_, TYPE), CAT(bior6_8_, TYPE), }; // Array of 6 pointers to array of 4 pointers to float static const TYPE * const (* const CAT(bior_, TYPE)[6]) = { CAT(bior1_, TYPE), CAT(bior2_, TYPE), CAT(bior3_, TYPE), CAT(bior4_, TYPE), CAT(bior5_, TYPE), CAT(bior6_, TYPE), }; #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/wt.c0000755€>SK[€>P0000000032113017375740022145 0ustar lee8rxdomain^users00000000000000#include "wt.h" #ifdef TYPE #error TYPE should not be defined here. #else #define TYPE float #include "wt.template.c" #undef TYPE #define TYPE double #include "wt.template.c" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/wt.h0000755€>SK[€>P0000000042213017375740022154 0ustar lee8rxdomain^users00000000000000#pragma once #include "common.h" #include "convolution.h" #include "wavelets.h" #ifdef TYPE #error TYPE should not be defined here. #else #define TYPE float #include "wt.template.h" #undef TYPE #define TYPE double #include "wt.template.h" #undef TYPE #endif /* TYPE */ PyWavelets-0.5.1/pywt/_extensions/c/wt.template.c0000755€>SK[€>P0000004525413017375740023775 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ #include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else #include "wt.h" #if defined _MSC_VER #define restrict __restrict #elif defined __GNUC__ #define restrict __restrict__ #endif /* Decomposition of input with lowpass filter */ int CAT(TYPE, _downcoef_axis)(const TYPE * const restrict input, const ArrayInfo input_info, TYPE * const restrict output, const ArrayInfo output_info, const DiscreteWavelet * const restrict wavelet, const size_t axis, const Coefficient coef, const MODE dwt_mode, const size_t swt_level, const DiscreteTransformType transform){ size_t i; size_t num_loops = 1; TYPE * temp_input = NULL, * temp_output = NULL; // These are boolean values, but MSVC does not have int make_temp_input, make_temp_output; if (input_info.ndim != output_info.ndim) return 1; if (axis >= input_info.ndim) return 1; for (i = 0; i < input_info.ndim; ++i){ if (i == axis){ switch (transform) { case DWT_TRANSFORM: if (dwt_buffer_length(input_info.shape[i], wavelet->dec_len, dwt_mode) != output_info.shape[i]) return 1; break; case SWT_TRANSFORM: if (swt_buffer_length(input_info.shape[i]) != output_info.shape[i]) return 1; break; } } else { if (input_info.shape[i] != output_info.shape[i]) return 1; } } make_temp_input = input_info.strides[axis] != sizeof(TYPE); make_temp_output = output_info.strides[axis] != sizeof(TYPE); if (make_temp_input) if ((temp_input = malloc(input_info.shape[axis] * sizeof(TYPE))) == NULL) goto cleanup; if (make_temp_output) if ((temp_output = malloc(output_info.shape[axis] * sizeof(TYPE))) == NULL) goto cleanup; for (i = 0; i < output_info.ndim; ++i){ if (i != axis) num_loops *= output_info.shape[i]; } for (i = 0; i < num_loops; ++i){ size_t j; size_t input_offset = 0, output_offset = 0; const TYPE * input_row; TYPE * output_row; // Calculate offset into linear buffer { size_t reduced_idx = i; for (j = 0; j < output_info.ndim; ++j){ size_t j_rev = output_info.ndim - 1 - j; if (j_rev != axis){ size_t axis_idx = reduced_idx % output_info.shape[j_rev]; reduced_idx /= output_info.shape[j_rev]; input_offset += (axis_idx * input_info.strides[j_rev]); output_offset += (axis_idx * output_info.strides[j_rev]); } } } // Copy to temporary input if necessary if (make_temp_input) for (j = 0; j < input_info.shape[axis]; ++j) // Offsets are byte offsets, to need to cast to char and back temp_input[j] = *(TYPE *)(((char *) input) + input_offset + j * input_info.strides[axis]); // Select temporary or direct output and input input_row = make_temp_input ? temp_input : (const TYPE *)((const char *) input + input_offset); output_row = make_temp_output ? temp_output : (TYPE *)((char *) output + output_offset); switch (transform) { case DWT_TRANSFORM: // Apply along axis switch (coef){ case COEF_APPROX: CAT(TYPE, _dec_a)(input_row, input_info.shape[axis], wavelet, output_row, output_info.shape[axis], dwt_mode); break; case COEF_DETAIL: CAT(TYPE, _dec_d)(input_row, input_info.shape[axis], wavelet, output_row, output_info.shape[axis], dwt_mode); break; } break; case SWT_TRANSFORM: // Apply along axis switch (coef){ case COEF_APPROX: CAT(TYPE, _swt_a)(input_row, input_info.shape[axis], wavelet, output_row, output_info.shape[axis], swt_level); break; case COEF_DETAIL: CAT(TYPE, _swt_d)(input_row, input_info.shape[axis], wavelet, output_row, output_info.shape[axis], swt_level); break; } break; } // Copy from temporary output if necessary if (make_temp_output) for (j = 0; j < output_info.shape[axis]; ++j) // Offsets are byte offsets, to need to cast to char and back *(TYPE *)((char *) output + output_offset + j * output_info.strides[axis]) = output_row[j]; } free(temp_input); free(temp_output); return 0; cleanup: free(temp_input); free(temp_output); return 2; } int CAT(TYPE, _idwt_axis)(const TYPE * const restrict coefs_a, const ArrayInfo * const a_info, const TYPE * const restrict coefs_d, const ArrayInfo * const d_info, TYPE * const restrict output, const ArrayInfo output_info, const DiscreteWavelet * const restrict wavelet, const size_t axis, const MODE mode){ size_t i; size_t num_loops = 1; TYPE * temp_coefs_a = NULL, * temp_coefs_d = NULL, * temp_output = NULL; // These are boolean values, but MSVC does not have int make_temp_coefs_a, make_temp_coefs_d, make_temp_output; int have_a = ((coefs_a != NULL) && (a_info != NULL)); int have_d = ((coefs_d != NULL) && (d_info != NULL)); if (!have_a && !have_d) return 3; if ((have_a && (a_info->ndim != output_info.ndim)) || (have_d && (d_info->ndim != output_info.ndim))) return 1; if (axis >= output_info.ndim) return 1; for (i = 0; i < output_info.ndim; ++i){ if (i == axis){ size_t input_shape; if (have_a && have_d && (d_info->shape[i] != a_info->shape[i])) return 1; input_shape = have_a ? a_info->shape[i] : d_info->shape[i]; /* TODO: reconstruction_buffer_length should take a & d shapes * - for odd output_len, d_len == (a_len - 1) */ if (idwt_buffer_length(input_shape, wavelet->rec_len, mode) != output_info.shape[i]) return 1; } else { if ((have_a && (a_info->shape[i] != output_info.shape[i])) || (have_d && (d_info->shape[i] != output_info.shape[i]))) return 1; } } make_temp_coefs_a = have_a && a_info->strides[axis] != sizeof(TYPE); make_temp_coefs_d = have_d && d_info->strides[axis] != sizeof(TYPE); make_temp_output = output_info.strides[axis] != sizeof(TYPE); if (make_temp_coefs_a) if ((temp_coefs_a = malloc(a_info->shape[axis] * sizeof(TYPE))) == NULL) goto cleanup; if (make_temp_coefs_d) if ((temp_coefs_d = malloc(d_info->shape[axis] * sizeof(TYPE))) == NULL) goto cleanup; if (make_temp_output) if ((temp_output = malloc(output_info.shape[axis] * sizeof(TYPE))) == NULL) goto cleanup; for (i = 0; i < output_info.ndim; ++i){ if (i != axis) num_loops *= output_info.shape[i]; } for (i = 0; i < num_loops; ++i){ size_t j; size_t a_offset = 0, d_offset = 0, output_offset = 0; TYPE * output_row; // Calculate offset into linear buffer { size_t reduced_idx = i; for (j = 0; j < output_info.ndim; ++j){ size_t j_rev = output_info.ndim - 1 - j; if (j_rev != axis){ size_t axis_idx = reduced_idx % output_info.shape[j_rev]; reduced_idx /= output_info.shape[j_rev]; if (have_a) a_offset += (axis_idx * a_info->strides[j_rev]); if (have_d) d_offset += (axis_idx * d_info->strides[j_rev]); output_offset += (axis_idx * output_info.strides[j_rev]); } } } // Copy to temporary input if necessary if (make_temp_coefs_a) for (j = 0; j < a_info->shape[axis]; ++j) // Offsets are byte offsets, to need to cast to char and back temp_coefs_a[j] = *(TYPE *)((char *) coefs_a + a_offset + j * a_info->strides[axis]); if (make_temp_coefs_d) for (j = 0; j < d_info->shape[axis]; ++j) // Offsets are byte offsets, to need to cast to char and back temp_coefs_d[j] = *(TYPE *)((char *) coefs_d + d_offset + j * d_info->strides[axis]); // Select temporary or direct output output_row = make_temp_output ? temp_output : (TYPE *)((char *) output + output_offset); // upsampling_convolution adds to input, so zero memset(output_row, 0, output_info.shape[axis] * sizeof(TYPE)); if (have_a){ // Pointer arithmetic on NULL is undefined const TYPE * a_row = make_temp_coefs_a ? temp_coefs_a : (const TYPE *)((const char *) coefs_a + a_offset); CAT(TYPE, _upsampling_convolution_valid_sf) (a_row, a_info->shape[axis], wavelet->CAT(rec_lo_, TYPE), wavelet->rec_len, output_row, output_info.shape[axis], mode); } if (have_d){ // Pointer arithmetic on NULL is undefined const TYPE * d_row = make_temp_coefs_d ? temp_coefs_d : (const TYPE *)((const char *) coefs_d + d_offset); CAT(TYPE, _upsampling_convolution_valid_sf) (d_row, d_info->shape[axis], wavelet->CAT(rec_hi_, TYPE), wavelet->rec_len, output_row, output_info.shape[axis], mode); } // Copy from temporary output if necessary if (make_temp_output) for (j = 0; j < output_info.shape[axis]; ++j) // Offsets are byte offsets, to need to cast to char and back *(TYPE *)((char *) output + output_offset + j * output_info.strides[axis]) = output_row[j]; } free(temp_coefs_a); free(temp_coefs_d); free(temp_output); return 0; cleanup: free(temp_coefs_a); free(temp_coefs_d); free(temp_output); return 2; } int CAT(TYPE, _dec_a)(const TYPE * const restrict input, const size_t input_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len, const MODE mode){ /* check output length */ if(output_len != dwt_buffer_length(input_len, wavelet->dec_len, mode)){ return -1; } return CAT(TYPE, _downsampling_convolution)(input, input_len, wavelet->CAT(dec_lo_, TYPE), wavelet->dec_len, output, 2, mode); } /* Decomposition of input with highpass filter */ int CAT(TYPE, _dec_d)(const TYPE * const restrict input, const size_t input_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len, const MODE mode){ /* check output length */ if(output_len != dwt_buffer_length(input_len, wavelet->dec_len, mode)) return -1; return CAT(TYPE, _downsampling_convolution)(input, input_len, wavelet->CAT(dec_hi_, TYPE), wavelet->dec_len, output, 2, mode); } /* Direct reconstruction with lowpass reconstruction filter */ int CAT(TYPE, _rec_a)(const TYPE * const restrict coeffs_a, const size_t coeffs_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len){ /* check output length */ if(output_len != reconstruction_buffer_length(coeffs_len, wavelet->rec_len)) return -1; return CAT(TYPE, _upsampling_convolution_full)(coeffs_a, coeffs_len, wavelet->CAT(rec_lo_, TYPE), wavelet->rec_len, output, output_len); } /* Direct reconstruction with highpass reconstruction filter */ int CAT(TYPE, _rec_d)(const TYPE * const restrict coeffs_d, const size_t coeffs_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len){ /* check for output length */ if(output_len != reconstruction_buffer_length(coeffs_len, wavelet->rec_len)) return -1; return CAT(TYPE, _upsampling_convolution_full)(coeffs_d, coeffs_len, wavelet->CAT(rec_hi_, TYPE), wavelet->rec_len, output, output_len); } /* * IDWT reconstruction from approximation and detail coeffs, either of which may * be NULL. * * Requires zero-filled output buffer. */ int CAT(TYPE, _idwt)(const TYPE * const restrict coeffs_a, const size_t coeffs_a_len, const TYPE * const restrict coeffs_d, const size_t coeffs_d_len, TYPE * const restrict output, const size_t output_len, const DiscreteWavelet * const restrict wavelet, const MODE mode){ size_t input_len; if(coeffs_a != NULL && coeffs_d != NULL){ if(coeffs_a_len != coeffs_d_len) goto error; input_len = coeffs_a_len; } else if(coeffs_a != NULL){ input_len = coeffs_a_len; } else if (coeffs_d != NULL){ input_len = coeffs_d_len; } else { goto error; } /* check output size */ if(output_len != idwt_buffer_length(input_len, wavelet->rec_len, mode)) goto error; /* * Set output to zero (this can be omitted if output array is already * cleared) memset(output, 0, output_len * sizeof(TYPE)); */ /* reconstruct approximation coeffs with lowpass reconstruction filter */ if(coeffs_a){ if(CAT(TYPE, _upsampling_convolution_valid_sf)(coeffs_a, input_len, wavelet->CAT(rec_lo_, TYPE), wavelet->rec_len, output, output_len, mode) < 0){ goto error; } } /* * Add reconstruction of details coeffs performed with highpass * reconstruction filter. */ if(coeffs_d){ if(CAT(TYPE, _upsampling_convolution_valid_sf)(coeffs_d, input_len, wavelet->CAT(rec_hi_, TYPE), wavelet->rec_len, output, output_len, mode) < 0){ goto error; } } return 0; error: return -1; } /* basic SWT step (TODO: optimize) */ int CAT(TYPE, _swt_)(TYPE input[], pywt_index_t input_len, const TYPE filter[], pywt_index_t filter_len, TYPE output[], pywt_index_t output_len, unsigned int level){ TYPE * e_filter; pywt_index_t i, e_filter_len, fstep; int ret; if(level < 1) return -1; if(level > swt_max_level(input_len)) return -2; if(output_len != swt_buffer_length(input_len)) return -1; /* TODO: quick hack, optimize */ if(level > 1){ /* allocate filter first */ e_filter_len = filter_len << (level-1); e_filter = wtcalloc(e_filter_len, sizeof(TYPE)); if(e_filter == NULL) return -1; fstep = 1 << (level - 1); // spacing between non-zero filter entries /* compute upsampled filter values */ for(i = 0; i < filter_len; ++i){ e_filter[i << (level-1)] = filter[i]; } ret = CAT(TYPE, _downsampling_convolution_periodization)(input, input_len, e_filter, e_filter_len, output, 1, fstep); wtfree(e_filter); return ret; } else { return CAT(TYPE, _downsampling_convolution_periodization)(input, input_len, filter, filter_len, output, 1, 1); } } /* * Approximation at specified level * input - approximation coeffs from upper level or signal if level == 1 */ int CAT(TYPE, _swt_a)(TYPE input[], pywt_index_t input_len, DiscreteWavelet* wavelet, TYPE output[], pywt_index_t output_len, unsigned int level){ return CAT(TYPE, _swt_)(input, input_len, wavelet->CAT(dec_lo_, TYPE), wavelet->dec_len, output, output_len, level); } /* Details at specified level * input - approximation coeffs from upper level or signal if level == 1 */ int CAT(TYPE, _swt_d)(TYPE input[], pywt_index_t input_len, DiscreteWavelet* wavelet, TYPE output[], pywt_index_t output_len, unsigned int level){ return CAT(TYPE, _swt_)(input, input_len, wavelet->CAT(dec_hi_, TYPE), wavelet->dec_len, output, output_len, level); } #endif /* TYPE */ #undef restrict PyWavelets-0.5.1/pywt/_extensions/c/wt.template.h0000755€>SK[€>P0000000735113017375740023776 0ustar lee8rxdomain^users00000000000000/* Copyright (c) 2006-2012 Filip Wasilewski * Copyright (c) 2012-2016 The PyWavelets Developers * * See COPYING for license details. */ /* Wavelet transforms using convolution functions defined in convolution.h */ #include "templating.h" #ifndef TYPE #error TYPE must be defined here. #else #include "wt.h" #if defined _MSC_VER #define restrict __restrict #elif defined __GNUC__ #define restrict __restrict__ #endif /* _a suffix - wavelet transform approximations */ /* _d suffix - wavelet transform details */ int CAT(TYPE, _downcoef_axis)(const TYPE * const restrict input, const ArrayInfo input_info, TYPE * const restrict output, const ArrayInfo output_info, const DiscreteWavelet * const restrict wavelet, const size_t axis, const Coefficient detail, const MODE dwt_mode, const size_t swt_level, const DiscreteTransformType transform); // a_info and d_info are pointers, as they may be NULL int CAT(TYPE, _idwt_axis)(const TYPE * const restrict coefs_a, const ArrayInfo * a_info, const TYPE * const restrict coefs_d, const ArrayInfo * d_info, TYPE * const restrict output, const ArrayInfo output_info, const DiscreteWavelet * const restrict wavelet, const size_t axis, const MODE mode); /* Single level decomposition */ int CAT(TYPE, _dec_a)(const TYPE * const restrict input, const size_t input_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len, const MODE mode); int CAT(TYPE, _dec_d)(const TYPE * const restrict input, const size_t input_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len, const MODE mode); /* Single level reconstruction */ int CAT(TYPE, _rec_a)(const TYPE * const restrict coeffs_a, const size_t coeffs_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len); int CAT(TYPE, _rec_d)(const TYPE * const restrict coeffs_d, const size_t coeffs_len, const DiscreteWavelet * const restrict wavelet, TYPE * const restrict output, const size_t output_len); /* Single level IDWT reconstruction */ int CAT(TYPE, _idwt)(const TYPE * const restrict coeffs_a, const size_t coeffs_a_len, const TYPE * const restrict coeffs_d, const size_t coeffs_d_len, TYPE * const restrict output, const size_t output_len, const DiscreteWavelet * const wavelet, const MODE mode); /* SWT decomposition at given level */ int CAT(TYPE, _swt_a)(TYPE input[], pywt_index_t input_len, DiscreteWavelet* wavelet, TYPE output[], pywt_index_t output_len, unsigned int level); int CAT(TYPE, _swt_d)(TYPE input[], pywt_index_t input_len, DiscreteWavelet* wavelet, TYPE output[], pywt_index_t output_len, unsigned int level); int CAT(TYPE, _swt_axis)(const TYPE * const restrict input, const ArrayInfo input_info, TYPE * const restrict output, const ArrayInfo output_info, const DiscreteWavelet * const restrict wavelet, const size_t axis, const Coefficient detail, unsigned int level); #endif /* TYPE */ #undef restrict PyWavelets-0.5.1/pywt/_extensions/common.pxd0000755€>SK[€>P0000000241613017375740023141 0ustar lee8rxdomain^users00000000000000cdef extern from "c/common.h": ctypedef int pywt_index_t cdef void* wtmalloc(long size) cdef void* wtcalloc(long len, long size) cdef void wtfree(void* ptr) ctypedef struct ArrayInfo: size_t * shape pywt_index_t * strides size_t ndim ctypedef enum Coefficient: COEF_APPROX = 0 COEF_DETAIL = 1 ctypedef enum DiscreteTransformType: DWT_TRANSFORM = 0 SWT_TRANSFORM = 1 ctypedef enum MODE: MODE_INVALID = -1 MODE_ZEROPAD = 0 MODE_SYMMETRIC MODE_CONSTANT_EDGE MODE_SMOOTH MODE_PERIODIC MODE_PERIODIZATION MODE_REFLECT MODE_MAX # buffers lengths cdef size_t dwt_buffer_length(size_t input_len, size_t filter_len, MODE mode) cdef size_t upsampling_buffer_length(size_t coeffs_len, size_t filter_len, MODE mode) cdef size_t reconstruction_buffer_length(size_t coeffs_len, size_t filter_len) cdef size_t idwt_buffer_length(size_t coeffs_len, size_t filter_len, MODE mode) cdef size_t swt_buffer_length(size_t coeffs_len) # max dec levels cdef unsigned char dwt_max_level(size_t input_len, size_t filter_len) cdef unsigned char swt_max_level(size_t input_len) PyWavelets-0.5.1/pywt/_extensions/c_wt.pxd0000755€>SK[€>P0000001705413017375740022611 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. from common cimport (MODE, pywt_index_t, ArrayInfo, Coefficient, DiscreteTransformType) from wavelet cimport DiscreteWavelet, ContinuousWavelet cdef extern from "c/wt.h": # Cython does not know the 'restrict' keyword cdef int double_downcoef_axis(const double * const input, const ArrayInfo input_info, double * const output, const ArrayInfo output_info, const DiscreteWavelet * const wavelet, const size_t axis, const Coefficient detail, const MODE dwt_mode, const size_t swt_level, const DiscreteTransformType transform) nogil cdef int double_idwt_axis(const double * const coefs_a, const ArrayInfo * const a_info, const double * const coefs_d, const ArrayInfo * const d_info, double * const output, const ArrayInfo output_info, const DiscreteWavelet * const wavelet, const size_t axis, const MODE mode) nogil cdef int double_dec_a(const double * const input, const size_t input_len, const DiscreteWavelet * const wavelet, double * const output, const size_t output_len, const MODE mode) nogil cdef int double_dec_d(const double * const input, const size_t input_len, const DiscreteWavelet * const wavelet, double * const output, const size_t output_len, const MODE mode) nogil cdef int double_rec_a(const double * const coeffs_a, const size_t coeffs_len, const DiscreteWavelet * const wavelet, double * const output, const size_t output_len) nogil cdef int double_rec_d(const double * const coeffs_d, const size_t coeffs_len, const DiscreteWavelet * const wavelet, double * const output, const size_t output_len) nogil cdef int double_idwt(double * const coeffs_a, const size_t coeffs_a_len, double * const coeffs_d, const size_t coeffs_d_len, double * const output, const size_t output_len, const DiscreteWavelet * const wavelet, const MODE mode) nogil cdef int double_swt_a(double input[], pywt_index_t input_len, DiscreteWavelet* wavelet, double output[], pywt_index_t output_len, int level) nogil cdef int double_swt_d(double input[], pywt_index_t input_len, DiscreteWavelet* wavelet, double output[], pywt_index_t output_len, int level) nogil cdef int float_downcoef_axis(const float * const input, const ArrayInfo input_info, float * const output, const ArrayInfo output_info, const DiscreteWavelet * const wavelet, const size_t axis, const Coefficient detail, const MODE dwt_mode, const size_t swt_level, const DiscreteTransformType transform) nogil cdef int float_idwt_axis(const float * const coefs_a, const ArrayInfo * const a_info, const float * const coefs_d, const ArrayInfo * const d_info, float * const output, const ArrayInfo output_info, const DiscreteWavelet * const wavelet, const size_t axis, const MODE mode) nogil cdef int float_dec_a(const float * const input, const size_t input_len, const DiscreteWavelet * const wavelet, float * const output, const size_t output_len, const MODE mode) nogil cdef int float_dec_d(const float * const input, const size_t input_len, const DiscreteWavelet * const wavelet, float * const output, const size_t output_len, const MODE mode) nogil cdef int float_rec_a(const float * const coeffs_a, const size_t coeffs_len, const DiscreteWavelet * const wavelet, float * const output, const size_t output_len) nogil cdef int float_rec_d(const float * const coeffs_d, const size_t coeffs_len, const DiscreteWavelet * const wavelet, float * const output, const size_t output_len) nogil cdef int float_idwt(const float * const coeffs_a, const size_t coeffs_a_len, const float * const coeffs_d, const size_t coeffs_d_len, float * const output, const size_t output_len, const DiscreteWavelet * const wavelet, const MODE mode) nogil cdef int float_swt_a(float input[], pywt_index_t input_len, DiscreteWavelet* wavelet, float output[], pywt_index_t output_len, int level) nogil cdef int float_swt_d(float input[], pywt_index_t input_len, DiscreteWavelet* wavelet, float output[], pywt_index_t output_len, int level) nogil cdef extern from "c/cwt.h": # Cython does not know the 'restrict' keyword cdef void double_gaus(const double * const input, double * const output, const size_t N, const size_t number) nogil cdef void double_mexh(const double * const input, double * const output, const size_t N) nogil cdef void double_morl(const double * const input, double * const output, const size_t N) nogil cdef void double_cgau(const double * const input, double * const output_r, double * const output_i, const size_t N, const size_t number) nogil cdef void double_shan(const double * const input, double * const output_r, double * const output_i, const size_t N, double FB, double FC) nogil cdef void double_fbsp(const double * const input, double * const output_r, double * const output_i, const size_t N, int M, double FB, double FC) nogil cdef void double_cmor(const double * const input, double * const output_r, double * const output_i, const size_t N, double FB, double FC) nogil cdef void float_gaus(const float * const input, float * const output, const size_t N, const size_t number) nogil cdef void float_mexh(const float * const input, float * const output, const size_t N) nogil cdef void float_morl(const float * const input, float * const output, const size_t N) nogil cdef void float_cgau(const float * const input, float * const output_r, float * const output_i, const size_t N, const size_t number) nogil cdef void float_shan(const float * const input, float * const output_r, float * const output_i, const size_t N, float FB, float FC) nogil cdef void float_fbsp(const float * const input, float * const output_r, float * const output_i, const size_t N, int M, float FB, float FC) nogil cdef void float_cmor(const float * const input, float * const output_r, float * const output_i, const size_t N, float FB, float FC) nogil PyWavelets-0.5.1/pywt/_extensions/wavelet.pxd0000755€>SK[€>P0000000400413017375740023313 0ustar lee8rxdomain^users00000000000000from common cimport pywt_index_t cdef extern from "c/wavelets.h": ctypedef enum SYMMETRY: ASYMMETRIC NEAR_SYMMETRIC SYMMETRIC ANTI_SYMMETRIC ctypedef enum WAVELET_NAME: HAAR RBIO DB SYM COIF BIOR DMEY GAUS MEXH MORL CGAU SHAN FBSP CMOR ctypedef struct BaseWavelet: pywt_index_t support_width unsigned int orthogonal unsigned int biorthogonal unsigned int compact_support SYMMETRY symmetry int _builtin char* family_name char* short_name ctypedef struct DiscreteWavelet: double* dec_hi_double # highpass decomposition double* dec_lo_double # lowpass decomposition double* rec_hi_double # highpass reconstruction double* rec_lo_double # lowpass reconstruction float* dec_hi_float float* dec_lo_float float* rec_hi_float float* rec_lo_float size_t dec_len # length of decomposition filter size_t rec_len # length of reconstruction filter int vanishing_moments_psi int vanishing_moments_phi BaseWavelet base ctypedef struct ContinuousWavelet: BaseWavelet base float lower_bound float upper_bound float center_frequency float bandwidth_frequency unsigned int fbsp_order int complex_cwt cdef int is_discrete_wavelet(WAVELET_NAME name) cdef DiscreteWavelet* discrete_wavelet(WAVELET_NAME name, int type) cdef DiscreteWavelet* blank_discrete_wavelet(size_t filter_length) cdef void free_discrete_wavelet(DiscreteWavelet* wavelet) cdef ContinuousWavelet* continous_wavelet(WAVELET_NAME name, int type) cdef ContinuousWavelet* blank_continous_wavelet() cdef void free_continous_wavelet(ContinuousWavelet* wavelet) PyWavelets-0.5.1/pywt/_extensions/wavelets_list.pxi0000755€>SK[€>P0000001006713017375740024544 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. # Mapping of wavelet names to the C backend codes cdef extern from "c/wavelets.h": ctypedef enum WAVELET_NAME: HAAR RBIO DB SYM COIF BIOR DMEY GAUS MEXH MORL CGAU SHAN FBSP CMOR cdef __wname_to_code __wname_to_code = { "haar": (HAAR, 0), "db1": (DB, 1), "db2": (DB, 2), "db3": (DB, 3), "db4": (DB, 4), "db5": (DB, 5), "db6": (DB, 6), "db7": (DB, 7), "db8": (DB, 8), "db9": (DB, 9), "db10": (DB, 10), "db11": (DB, 11), "db12": (DB, 12), "db13": (DB, 13), "db14": (DB, 14), "db15": (DB, 15), "db16": (DB, 16), "db17": (DB, 17), "db18": (DB, 18), "db19": (DB, 19), "db20": (DB, 20), "db21": (DB, 21), "db22": (DB, 22), "db23": (DB, 23), "db24": (DB, 24), "db25": (DB, 25), "db26": (DB, 26), "db27": (DB, 27), "db28": (DB, 28), "db29": (DB, 29), "db30": (DB, 30), "db31": (DB, 31), "db32": (DB, 32), "db33": (DB, 33), "db34": (DB, 34), "db35": (DB, 35), "db36": (DB, 36), "db37": (DB, 37), "db38": (DB, 38), "sym2": (SYM, 2), "sym3": (SYM, 3), "sym4": (SYM, 4), "sym5": (SYM, 5), "sym6": (SYM, 6), "sym7": (SYM, 7), "sym8": (SYM, 8), "sym9": (SYM, 9), "sym10": (SYM, 10), "sym11": (SYM, 11), "sym12": (SYM, 12), "sym13": (SYM, 13), "sym14": (SYM, 14), "sym15": (SYM, 15), "sym16": (SYM, 16), "sym17": (SYM, 17), "sym18": (SYM, 18), "sym19": (SYM, 19), "sym20": (SYM, 20), "coif1": (COIF, 1), "coif2": (COIF, 2), "coif3": (COIF, 3), "coif4": (COIF, 4), "coif5": (COIF, 5), "coif6": (COIF, 6), "coif7": (COIF, 7), "coif8": (COIF, 8), "coif9": (COIF, 9), "coif10": (COIF, 10), "coif11": (COIF, 11), "coif12": (COIF, 12), "coif13": (COIF, 13), "coif14": (COIF, 14), "coif15": (COIF, 15), "coif16": (COIF, 16), "coif17": (COIF, 17), "bior1.1": (BIOR, 11), "bior1.3": (BIOR, 13), "bior1.5": (BIOR, 15), "bior2.2": (BIOR, 22), "bior2.4": (BIOR, 24), "bior2.6": (BIOR, 26), "bior2.8": (BIOR, 28), "bior3.1": (BIOR, 31), "bior3.3": (BIOR, 33), "bior3.5": (BIOR, 35), "bior3.7": (BIOR, 37), "bior3.9": (BIOR, 39), "bior4.4": (BIOR, 44), "bior5.5": (BIOR, 55), "bior6.8": (BIOR, 68), "rbio1.1": (RBIO, 11), "rbio1.3": (RBIO, 13), "rbio1.5": (RBIO, 15), "rbio2.2": (RBIO, 22), "rbio2.4": (RBIO, 24), "rbio2.6": (RBIO, 26), "rbio2.8": (RBIO, 28), "rbio3.1": (RBIO, 31), "rbio3.3": (RBIO, 33), "rbio3.5": (RBIO, 35), "rbio3.7": (RBIO, 37), "rbio3.9": (RBIO, 39), "rbio4.4": (RBIO, 44), "rbio5.5": (RBIO, 55), "rbio6.8": (RBIO, 68), "dmey": (DMEY, 0), "gaus1": (GAUS, 1), "gaus2": (GAUS, 2), "gaus3": (GAUS, 3), "gaus4": (GAUS, 4), "gaus5": (GAUS, 5), "gaus6": (GAUS, 6), "gaus7": (GAUS, 7), "gaus8": (GAUS, 8), "mexh": (MEXH, 0), "morl": (MORL, 0), "cgau1": (CGAU, 1), "cgau2": (CGAU, 2), "cgau3": (CGAU, 3), "cgau4": (CGAU, 4), "cgau5": (CGAU, 5), "cgau6": (CGAU, 6), "cgau7": (CGAU, 7), "cgau8": (CGAU, 8), "shan": (SHAN, 0), "fbsp": (FBSP, 0), "cmor": (CMOR, 0), } ## Lists of family names cdef __wfamily_list_short, __wfamily_list_long __wfamily_list_short = [ "haar", "db", "sym", "coif", "bior", "rbio", "dmey", "gaus", "mexh", "morl", "cgau", "shan", "fbsp", "cmor"] __wfamily_list_long = [ "Haar", "Daubechies", "Symlets", "Coiflets", "Biorthogonal", "Reverse biorthogonal", "Discrete Meyer (FIR Approximation)", "Gaussian", "Mexican hat wavelet", "Morlet wavelet", "Complex Gaussian wavelets", "Shannon wavelets", "Frequency B-Spline wavelets", "Complex Morlet wavelets"] PyWavelets-0.5.1/pywt/_extensions/_cwt.c0000755€>SK[€>P0000366537413017376001022250 0ustar 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PyMethod_New(func, self) : PyInstanceMethod_New(func)) #else #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) #endif #if PY_VERSION_HEX >= 0x030500B1 #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) #elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 typedef struct { unaryfunc am_await; unaryfunc am_aiter; unaryfunc am_anext; } __Pyx_PyAsyncMethodsStruct; #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) #else #define __Pyx_PyType_AsAsync(obj) NULL #endif #ifndef CYTHON_RESTRICT #if defined(__GNUC__) #define CYTHON_RESTRICT __restrict__ #elif defined(_MSC_VER) && _MSC_VER >= 1400 #define CYTHON_RESTRICT __restrict #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_RESTRICT restrict #else #define CYTHON_RESTRICT #endif #endif #define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) #ifndef CYTHON_INLINE #if defined(__GNUC__) #define CYTHON_INLINE __inline__ #elif defined(_MSC_VER) #define CYTHON_INLINE __inline #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_INLINE inline #else #define CYTHON_INLINE #endif #endif #if defined(WIN32) || defined(MS_WINDOWS) #define _USE_MATH_DEFINES #endif #include #ifdef NAN #define __PYX_NAN() ((float) NAN) #else static CYTHON_INLINE float __PYX_NAN() { float value; memset(&value, 0xFF, sizeof(value)); return value; } #endif #if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) #define __Pyx_truncl trunc #else #define __Pyx_truncl truncl #endif #define __PYX_ERR(f_index, lineno, Ln_error) \ { \ __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ } #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) #else #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) #endif #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #define __PYX_HAVE__pywt___extensions___cwt #define __PYX_HAVE_API__pywt___extensions___cwt #include "c/common.h" #include "c/wavelets.h" #include "string.h" #include "stdio.h" #include "stdlib.h" #include "numpy/arrayobject.h" #include "numpy/ufuncobject.h" #include "c/wt.h" #include "c/cwt.h" #include "pythread.h" #include "pystate.h" #ifdef _OPENMP #include #endif /* _OPENMP */ #ifdef PYREX_WITHOUT_ASSERTIONS #define CYTHON_WITHOUT_ASSERTIONS #endif #ifndef CYTHON_UNUSED # if defined(__GNUC__) # if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif #endif #ifndef CYTHON_NCP_UNUSED # if CYTHON_COMPILING_IN_CPYTHON # define CYTHON_NCP_UNUSED # else # define CYTHON_NCP_UNUSED CYTHON_UNUSED # endif #endif typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 #define __PYX_DEFAULT_STRING_ENCODING "" #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #define __Pyx_uchar_cast(c) ((unsigned char)c) #define __Pyx_long_cast(x) ((long)x) #define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ (sizeof(type) < sizeof(Py_ssize_t)) ||\ (sizeof(type) > sizeof(Py_ssize_t) &&\ likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX) &&\ (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ v == (type)PY_SSIZE_T_MIN))) ||\ (sizeof(type) == sizeof(Py_ssize_t) &&\ (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX))) ) #if defined (__cplusplus) && __cplusplus >= 201103L #include #define __Pyx_sst_abs(value) std::abs(value) #elif SIZEOF_INT >= SIZEOF_SIZE_T #define __Pyx_sst_abs(value) abs(value) #elif SIZEOF_LONG >= SIZEOF_SIZE_T #define __Pyx_sst_abs(value) labs(value) #elif defined (_MSC_VER) && defined (_M_X64) #define __Pyx_sst_abs(value) _abs64(value) #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define __Pyx_sst_abs(value) llabs(value) #elif defined (__GNUC__) #define __Pyx_sst_abs(value) __builtin_llabs(value) #else #define __Pyx_sst_abs(value) ((value<0) ? -value : value) #endif static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject*); static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); #define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) #define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) #define __Pyx_PyBytes_FromString PyBytes_FromString #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); #if PY_MAJOR_VERSION < 3 #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #else #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize #endif #define __Pyx_PyObject_AsSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) #define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) #define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) #define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) #define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) #if PY_MAJOR_VERSION < 3 static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { const Py_UNICODE *u_end = u; while (*u_end++) ; return (size_t)(u_end - u - 1); } #else #define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen #endif #define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode #define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode #define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) #define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) #define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False)) static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); #if CYTHON_COMPILING_IN_CPYTHON #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) #else #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) #endif #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) #else #define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) #endif #define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII static int __Pyx_sys_getdefaultencoding_not_ascii; static int __Pyx_init_sys_getdefaultencoding_params(void) { PyObject* sys; PyObject* default_encoding = NULL; PyObject* ascii_chars_u = NULL; PyObject* ascii_chars_b = NULL; const char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (!sys) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); Py_DECREF(sys); if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; if (strcmp(default_encoding_c, "ascii") == 0) { __Pyx_sys_getdefaultencoding_not_ascii = 0; } else { char ascii_chars[128]; int c; for (c = 0; c < 128; c++) { ascii_chars[c] = c; } __Pyx_sys_getdefaultencoding_not_ascii = 1; ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); if (!ascii_chars_u) goto bad; ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { PyErr_Format( PyExc_ValueError, "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", default_encoding_c); goto bad; } Py_DECREF(ascii_chars_u); Py_DECREF(ascii_chars_b); } Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return -1; } #endif #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) #else #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT static char* __PYX_DEFAULT_STRING_ENCODING; static int __Pyx_init_sys_getdefaultencoding_params(void) { PyObject* sys; PyObject* default_encoding = NULL; char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (!sys) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); Py_DECREF(sys); if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(default_encoding); return -1; } #endif #endif /* Test for GCC > 2.95 */ #if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) #define likely(x) __builtin_expect(!!(x), 1) #define unlikely(x) __builtin_expect(!!(x), 0) #else /* !__GNUC__ or GCC < 2.95 */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ */ static PyObject *__pyx_m; static PyObject *__pyx_d; static PyObject *__pyx_b; static PyObject *__pyx_empty_tuple; static PyObject *__pyx_empty_bytes; static PyObject *__pyx_empty_unicode; static int __pyx_lineno; static int __pyx_clineno = 0; static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; /* None.proto */ #if !defined(CYTHON_CCOMPLEX) #if defined(__cplusplus) #define CYTHON_CCOMPLEX 1 #elif defined(_Complex_I) #define CYTHON_CCOMPLEX 1 #else #define CYTHON_CCOMPLEX 0 #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus #include #else #include #endif #endif #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) #undef _Complex_I #define _Complex_I 1.0fj #endif static const char *__pyx_f[] = { "pywt/_extensions/_cwt.pyx", "__init__.pxd", "stringsource", "type.pxd", "pywt/_extensions/_pywt.pxd", }; /* MemviewSliceStruct.proto */ struct __pyx_memoryview_obj; typedef struct { struct __pyx_memoryview_obj *memview; char *data; Py_ssize_t shape[8]; Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; /* BufferFormatStructs.proto */ #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; struct __Pyx_StructField_* fields; size_t size; size_t arraysize[8]; int ndim; char typegroup; char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; /* Atomics.proto */ #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 #include #undef __pyx_atomic_int_type #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #pragma message ("Using MSVC atomics") #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview)\ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview)\ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":725 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":726 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":727 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":728 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":732 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":733 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":734 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":735 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":739 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":740 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":749 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":750 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":751 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":753 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":754 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":755 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":757 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":758 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":760 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":761 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":762 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; /* "_pywt.pxd":4 * cimport numpy as np * * ctypedef Py_ssize_t pywt_index_t # <<<<<<<<<<<<<< * * ctypedef fused data_t: */ typedef Py_ssize_t __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t; /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; #endif /*--- Type declarations ---*/ struct WaveletObject; struct ContinuousWaveletObject; struct __pyx_array_obj; struct __pyx_MemviewEnum_obj; struct __pyx_memoryview_obj; struct __pyx_memoryviewslice_obj; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":764 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":765 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":766 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; 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/* RaiseNeedMoreValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); /* RaiseTooManyValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); /* UnpackItemEndCheck.proto */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /* RaiseNoneIterError.proto */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); /* UnpackTupleError.proto */ static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); /* UnpackTuple2.proto */ static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** value1, PyObject** value2, int is_tuple, int has_known_size, int decref_tuple); /* dict_iter.proto */ static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name, Py_ssize_t* p_orig_length, int* p_is_dict); static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos, PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict); /* ListAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif /* IncludeStringH.proto */ #include /* BytesEquals.proto */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); /* UnicodeEquals.proto */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /* StrEquals.proto */ #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals #else #define __Pyx_PyString_Equals __Pyx_PyBytes_Equals #endif /* GetModuleGlobalName.proto */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /* ExtTypeTest.proto */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /* ArgTypeTest.proto */ static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact); /* None.proto */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); /* BufferFormatCheck.proto */ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type); // PROTO /* MemviewSliceInit.proto */ #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); /* None.proto */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); /* UnaryNegOverflows.proto */ #define UNARY_NEG_WOULD_OVERFLOW(x)\ (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ /* GetAttr.proto */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /* decode_c_string.proto */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); /* SwapException.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); #endif /* GetItemInt.proto */ #define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ __Pyx_GetItemInt_Generic(o, to_py_func(i)))) #define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ /* ListCompAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif /* PyIntBinop.proto */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace); #else #define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\ (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) #endif /* ListExtend.proto */ static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { #if CYTHON_COMPILING_IN_CPYTHON PyObject* none = _PyList_Extend((PyListObject*)L, v); if (unlikely(!none)) return -1; Py_DECREF(none); return 0; #else return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); #endif } /* ForceInitThreads.proto */ #ifndef __PYX_FORCE_INIT_THREADS #define __PYX_FORCE_INIT_THREADS 0 #endif /* None.proto */ static CYTHON_INLINE long __Pyx_div_long(long, long); /* WriteUnraisableException.proto */ static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, const char *filename, int full_traceback, int nogil); /* SetVTable.proto */ static int __Pyx_SetVtable(PyObject *dict, void *vtable); /* FetchCommonType.proto */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); /* CythonFunction.proto */ #define __Pyx_CyFunction_USED 1 #include #define __Pyx_CYFUNCTION_STATICMETHOD 0x01 #define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 #define __Pyx_CYFUNCTION_CCLASS 0x04 #define __Pyx_CyFunction_GetClosure(f)\ (((__pyx_CyFunctionObject *) (f))->func_closure) #define __Pyx_CyFunction_GetClassObj(f)\ (((__pyx_CyFunctionObject *) (f))->func_classobj) #define __Pyx_CyFunction_Defaults(type, f)\ ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) #define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) typedef struct { PyCFunctionObject func; #if PY_VERSION_HEX < 0x030500A0 PyObject *func_weakreflist; #endif PyObject *func_dict; PyObject *func_name; PyObject *func_qualname; PyObject *func_doc; PyObject *func_globals; PyObject *func_code; PyObject *func_closure; PyObject *func_classobj; void *defaults; int defaults_pyobjects; int flags; PyObject *defaults_tuple; PyObject *defaults_kwdict; PyObject *(*defaults_getter)(PyObject *); PyObject *func_annotations; } __pyx_CyFunctionObject; static PyTypeObject *__pyx_CyFunctionType = 0; #define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject* code); static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, size_t size, int pyobjects); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, PyObject *tuple); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, PyObject *dict); static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, PyObject *dict); static int __pyx_CyFunction_init(void); /* FusedFunction.proto */ typedef struct { __pyx_CyFunctionObject func; PyObject *__signatures__; PyObject *type; PyObject *self; } __pyx_FusedFunctionObject; #define __pyx_FusedFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __pyx_FusedFunction_New(__pyx_FusedFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__pyx_FusedFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject *qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject *code); static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self); static PyTypeObject *__pyx_FusedFunctionType = NULL; static int __pyx_FusedFunction_init(void); #define __Pyx_FusedFunction_USED /* CodeObjectCache.proto */ typedef struct { PyCodeObject* code_object; int code_line; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); /* AddTraceback.proto */ static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif /* BufferStructDeclare.proto */ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; /* None.proto */ static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; /* MemviewSliceIsContig.proto */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); /* OverlappingSlices.proto */ static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); /* Capsule.proto */ static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); /* TypeInfoCompare.proto */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); /* MemviewSliceValidateAndInit.proto */ static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); /* BytesContains.proto */ static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj); /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(__cplusplus) && CYTHON_CCOMPLEX && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif /* None.proto */ static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif /* None.proto */ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); /* MemviewSliceCopyTemplate.proto */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); /* CIntFromPy.proto */ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); /* CheckBinaryVersion.proto */ static int __Pyx_check_binary_version(void); /* FunctionExport.proto */ static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig); /* PyIdentifierFromString.proto */ #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif /* ModuleImport.proto */ static PyObject *__Pyx_ImportModule(const char *name); /* TypeImport.proto */ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /* FunctionImport.proto */ static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig); /* InitStrings.proto */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ /* Module declarations from 'pywt._extensions.common' */ /* Module declarations from 'pywt._extensions.wavelet' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'cpython' */ /* Module declarations from 'cpython.object' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'pywt._extensions._pywt' */ static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_Wavelet = 0; static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_ContinuousWavelet = 0; static PyArray_Descr *(*__pyx_f_4pywt_11_extensions_5_pywt__check_dtype)(PyObject *, int __pyx_skip_dispatch); /*proto*/ /* Module declarations from 'pywt._extensions.c_wt' */ /* Module declarations from 'pywt._extensions._cwt' */ static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static int __pyx_memoryview_thread_locks_used; static PyThread_type_lock __pyx_memoryview_thread_locks[8]; static PyObject *__pyx_fuse_0__pyx_f_4pywt_11_extensions_4_cwt_cwt_psi_single(__Pyx_memviewslice, struct ContinuousWaveletObject *, size_t, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_fuse_1__pyx_f_4pywt_11_extensions_4_cwt_cwt_psi_single(__Pyx_memviewslice, struct ContinuousWaveletObject *, size_t, int __pyx_skip_dispatch); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { "float32_t", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 }; #define __Pyx_MODULE_NAME "pywt._extensions._cwt" int __pyx_module_is_main_pywt___extensions___cwt = 0; /* Implementation of 'pywt._extensions._cwt' */ static PyObject *__pyx_builtin_ImportError; static PyObject *__pyx_builtin_AttributeError; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_zip; static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static const char __pyx_k_[] = "()"; static const char __pyx_k_O[] = "O"; static const char __pyx_k_c[] = "c"; static const char __pyx_k__3[] = "|"; static const char __pyx_k_id[] = "id"; static const char __pyx_k_np[] = "np"; static const char __pyx_k_obj[] = "obj"; static const char __pyx_k_zip[] = "zip"; static const char __pyx_k_args[] = "args"; static const char __pyx_k_base[] = "base"; static const char __pyx_k_cgau[] = "cgau"; static const char __pyx_k_cmor[] = "cmor"; static const char __pyx_k_data[] = "data"; static const char __pyx_k_fbsp[] = "fbsp"; static const char __pyx_k_gaus[] = "gaus"; static const char __pyx_k_kind[] = "kind"; static const char __pyx_k_main[] = "__main__"; static const char __pyx_k_mexh[] = "mexh"; static const char __pyx_k_mode[] = "mode"; static const char __pyx_k_morl[] = "morl"; static const char __pyx_k_name[] = "name"; static const char __pyx_k_ndim[] = "ndim"; static const char __pyx_k_pack[] = "pack"; static const char __pyx_k_shan[] = "shan"; static const char __pyx_k_size[] = "size"; static const char __pyx_k_step[] = "step"; static const char __pyx_k_stop[] = "stop"; static const char __pyx_k_test[] = "__test__"; static const char __pyx_k_ASCII[] = "ASCII"; static const char __pyx_k_class[] = "__class__"; static const char __pyx_k_dtype[] = "dtype"; static const char __pyx_k_error[] = "error"; static const char __pyx_k_flags[] = "flags"; static const char __pyx_k_numpy[] = "numpy"; static const char __pyx_k_range[] = "range"; static const char __pyx_k_shape[] = "shape"; static const char __pyx_k_split[] = "split"; static const char __pyx_k_start[] = "start"; static const char __pyx_k_strip[] = "strip"; static const char __pyx_k_zeros[] = "zeros"; static const char __pyx_k_encode[] = "encode"; static const char __pyx_k_format[] = "format"; static const char __pyx_k_import[] = "__import__"; static const char __pyx_k_kwargs[] = "kwargs"; static const char __pyx_k_name_2[] = "__name__"; static const char __pyx_k_struct[] = "struct"; static const char __pyx_k_unpack[] = "unpack"; static const char __pyx_k_float32[] = "float32"; static const char __pyx_k_float64[] = "float64"; static const char __pyx_k_fortran[] = "fortran"; static const char __pyx_k_memview[] = "memview"; static const char __pyx_k_ndarray[] = "ndarray"; static const char __pyx_k_wavelet[] = "wavelet"; static const char __pyx_k_Ellipsis[] = "Ellipsis"; static const char __pyx_k_defaults[] = "defaults"; static const char __pyx_k_itemsize[] = "itemsize"; static const char __pyx_k_TypeError[] = "TypeError"; static const char __pyx_k_enumerate[] = "enumerate"; static const char __pyx_k_float32_t[] = "float32_t"; static const char __pyx_k_float64_t[] = "float64_t"; static const char __pyx_k_IndexError[] = "IndexError"; static const char __pyx_k_ValueError[] = "ValueError"; static const char __pyx_k_fbsp_order[] = "fbsp_order"; static const char __pyx_k_output_len[] = "output_len"; static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; static const char __pyx_k_signatures[] = "signatures"; static const char __pyx_k_ImportError[] = "ImportError"; static const char __pyx_k_MemoryError[] = "MemoryError"; static const char __pyx_k_RuntimeError[] = "RuntimeError"; static const char __pyx_k_family_number[] = "family_number"; static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; static const char __pyx_k_AttributeError[] = "AttributeError"; static const char __pyx_k_cwt_psi_single[] = "cwt_psi_single"; static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; static const char __pyx_k_center_frequency[] = "center_frequency"; static const char __pyx_k_short_family_name[] = "short_family_name"; static const char __pyx_k_strided_and_direct[] = ""; static const char __pyx_k_bandwidth_frequency[] = "bandwidth_frequency"; static const char __pyx_k_strided_and_indirect[] = ""; static const char __pyx_k_Invalid_output_length[] = "Invalid output length."; static const char __pyx_k_contiguous_and_direct[] = ""; static const char __pyx_k_pywt__extensions__cwt[] = "pywt._extensions._cwt"; static const char __pyx_k_MemoryView_of_r_object[] = ""; static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; static const char __pyx_k_contiguous_and_indirect[] = ""; static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; static const char __pyx_k_pyx_fuse_0cwt_psi_single[] = "__pyx_fuse_0cwt_psi_single"; static const char __pyx_k_pyx_fuse_1cwt_psi_single[] = "__pyx_fuse_1cwt_psi_single"; static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; static const char __pyx_k_No_matching_signature_found[] = "No matching signature found"; static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; static const char __pyx_k_Expected_at_least_d_arguments[] = "Expected at least %d arguments"; static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; static const char __pyx_k_strided_and_direct_or_indirect[] = ""; static const char __pyx_k_media_Data1_src_repositories_my[] = "/media/Data1/src_repositories/my_git/pyir/pywt_release/pywt/pywt/_extensions/_cwt.pyx"; static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; static const char __pyx_k_Function_call_with_ambiguous_arg[] = "Function call with ambiguous argument types"; static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; static PyObject *__pyx_kp_s_; static PyObject *__pyx_n_s_ASCII; static PyObject *__pyx_n_s_AttributeError; static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; static PyObject *__pyx_kp_s_Cannot_index_with_type_s; static PyObject *__pyx_n_s_Ellipsis; static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; static PyObject *__pyx_kp_s_Expected_at_least_d_arguments; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; static PyObject *__pyx_kp_s_Function_call_with_ambiguous_arg; static PyObject *__pyx_n_s_ImportError; static PyObject *__pyx_n_s_IndexError; static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; static PyObject *__pyx_kp_s_Invalid_output_length; static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; static PyObject *__pyx_n_s_MemoryError; static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; static PyObject *__pyx_kp_s_MemoryView_of_r_object; static PyObject *__pyx_kp_s_No_matching_signature_found; static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; static PyObject *__pyx_n_b_O; static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; static PyObject *__pyx_n_s_RuntimeError; static PyObject *__pyx_n_s_TypeError; static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; static PyObject *__pyx_n_s_ValueError; static PyObject *__pyx_kp_s__3; static PyObject *__pyx_n_s_allocate_buffer; static PyObject *__pyx_n_s_args; static PyObject *__pyx_n_s_bandwidth_frequency; static PyObject *__pyx_n_s_base; static PyObject *__pyx_n_s_c; static PyObject *__pyx_n_u_c; static PyObject *__pyx_n_s_center_frequency; static PyObject *__pyx_n_s_cgau; static PyObject *__pyx_n_s_class; static PyObject *__pyx_n_s_cmor; static PyObject *__pyx_kp_s_contiguous_and_direct; static PyObject *__pyx_kp_s_contiguous_and_indirect; static PyObject *__pyx_n_s_cwt_psi_single; static PyObject *__pyx_n_s_data; static PyObject *__pyx_n_s_defaults; static PyObject *__pyx_n_s_dtype; static PyObject *__pyx_n_s_dtype_is_object; static PyObject *__pyx_n_s_encode; static PyObject *__pyx_n_s_enumerate; static PyObject *__pyx_n_s_error; static PyObject *__pyx_n_s_family_number; static PyObject *__pyx_n_s_fbsp; static PyObject *__pyx_n_s_fbsp_order; static PyObject *__pyx_n_s_flags; static PyObject *__pyx_n_s_float32; static PyObject *__pyx_n_s_float32_t; static PyObject *__pyx_n_s_float64; static PyObject *__pyx_n_s_float64_t; static PyObject *__pyx_n_s_format; static PyObject *__pyx_n_s_fortran; static PyObject *__pyx_n_u_fortran; static PyObject *__pyx_n_s_gaus; static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; static PyObject *__pyx_n_s_id; static PyObject *__pyx_n_s_import; static PyObject *__pyx_n_s_itemsize; static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; static PyObject *__pyx_n_s_kind; static PyObject *__pyx_n_s_kwargs; static PyObject *__pyx_n_s_main; static PyObject *__pyx_kp_s_media_Data1_src_repositories_my; static PyObject *__pyx_n_s_memview; static PyObject *__pyx_n_s_mexh; static PyObject *__pyx_n_s_mode; static PyObject *__pyx_n_s_morl; static PyObject *__pyx_n_s_name; static PyObject *__pyx_n_s_name_2; static PyObject *__pyx_n_s_ndarray; static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; static PyObject *__pyx_n_s_ndim; static PyObject *__pyx_n_s_np; static PyObject *__pyx_n_s_numpy; static PyObject *__pyx_n_s_obj; static PyObject *__pyx_n_s_output_len; static PyObject *__pyx_n_s_pack; static PyObject *__pyx_n_s_pywt__extensions__cwt; static PyObject *__pyx_n_s_pyx_fuse_0cwt_psi_single; static PyObject *__pyx_n_s_pyx_fuse_1cwt_psi_single; static PyObject *__pyx_n_s_pyx_getbuffer; static PyObject *__pyx_n_s_pyx_vtable; static PyObject *__pyx_n_s_range; static PyObject *__pyx_n_s_shan; static PyObject *__pyx_n_s_shape; static PyObject *__pyx_n_s_short_family_name; static PyObject *__pyx_n_s_signatures; static PyObject *__pyx_n_s_size; static PyObject *__pyx_n_s_split; static PyObject *__pyx_n_s_start; static PyObject *__pyx_n_s_step; static PyObject *__pyx_n_s_stop; static PyObject *__pyx_kp_s_strided_and_direct; static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; static PyObject *__pyx_kp_s_strided_and_indirect; static PyObject *__pyx_n_s_strip; static PyObject *__pyx_n_s_struct; static PyObject *__pyx_n_s_test; static PyObject *__pyx_kp_s_unable_to_allocate_array_data; static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; static PyObject *__pyx_n_s_unpack; static PyObject *__pyx_n_s_wavelet; static PyObject *__pyx_n_s_zeros; static PyObject *__pyx_n_s_zip; static PyObject *__pyx_pf_4pywt_11_extensions_4_cwt_cwt_psi_single(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_cwt_2__pyx_fuse_0cwt_psi_single(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_data, struct ContinuousWaveletObject *__pyx_v_wavelet, size_t __pyx_v_output_len); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_cwt_4__pyx_fuse_1cwt_psi_single(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_data, struct ContinuousWaveletObject *__pyx_v_wavelet, size_t __pyx_v_output_len); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); 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__pyx_t_2; int __pyx_t_3; /* "View.MemoryView":813 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":815 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":816 * * if start < 0: * start += shape # <<<<<<<<<<<<<< * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":815 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ } /* "View.MemoryView":817 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ __pyx_t_1 = (0 <= __pyx_v_start); if (__pyx_t_1) { __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); } __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":818 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) __PYX_ERR(2, 818, __pyx_L1_error) /* "View.MemoryView":817 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ } /* "View.MemoryView":813 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ goto __pyx_L3; } /* "View.MemoryView":821 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< * * if have_step and step == 0: */ /*else*/ { __pyx_t_1 = ((__pyx_v_have_step != 0) != 0); if (__pyx_t_1) { } else { __pyx_t_2 = __pyx_t_1; goto __pyx_L6_bool_binop_done; } __pyx_t_1 = ((__pyx_v_step < 0) != 0); __pyx_t_2 = __pyx_t_1; __pyx_L6_bool_binop_done:; __pyx_v_negative_step = __pyx_t_2; /* "View.MemoryView":823 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ __pyx_t_1 = (__pyx_v_have_step != 0); if (__pyx_t_1) { } else { __pyx_t_2 = __pyx_t_1; goto __pyx_L9_bool_binop_done; } __pyx_t_1 = ((__pyx_v_step == 0) != 0); __pyx_t_2 = __pyx_t_1; __pyx_L9_bool_binop_done:; if (__pyx_t_2) { /* "View.MemoryView":824 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) __PYX_ERR(2, 824, __pyx_L1_error) /* "View.MemoryView":823 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ } /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { /* "View.MemoryView":828 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":829 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< * if start < 0: * start = 0 */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":830 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":831 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< * elif start >= shape: * if negative_step: */ __pyx_v_start = 0; /* "View.MemoryView":830 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ } /* "View.MemoryView":828 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ goto __pyx_L12; } /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":833 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":834 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = shape */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":833 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L14; } /* "View.MemoryView":836 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ /*else*/ { __pyx_v_start = __pyx_v_shape; } __pyx_L14:; /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ } __pyx_L12:; /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ goto __pyx_L11; } /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":839 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L15; } /* "View.MemoryView":841 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ /*else*/ { __pyx_v_start = 0; } __pyx_L15:; } __pyx_L11:; /* "View.MemoryView":843 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { /* "View.MemoryView":844 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":845 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< * if stop < 0: * stop = 0 */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); /* "View.MemoryView":846 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":847 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< * elif stop > shape: * stop = shape */ __pyx_v_stop = 0; /* "View.MemoryView":846 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ } /* "View.MemoryView":844 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ goto __pyx_L17; } /* "View.MemoryView":848 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":849 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_stop = __pyx_v_shape; /* "View.MemoryView":848 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ } __pyx_L17:; /* "View.MemoryView":843 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ goto __pyx_L16; } /* "View.MemoryView":851 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":852 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< * else: * stop = shape */ __pyx_v_stop = -1L; /* "View.MemoryView":851 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ goto __pyx_L19; } /* "View.MemoryView":854 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< * * if not have_step: */ /*else*/ { __pyx_v_stop = __pyx_v_shape; } __pyx_L19:; } __pyx_L16:; /* "View.MemoryView":856 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":857 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< * * */ __pyx_v_step = 1; /* "View.MemoryView":856 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ } /* "View.MemoryView":861 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":863 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":864 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); /* "View.MemoryView":863 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ } /* "View.MemoryView":866 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":867 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< * * */ __pyx_v_new_shape = 0; /* "View.MemoryView":866 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ } /* "View.MemoryView":870 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":871 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< * dst.suboffsets[new_ndim] = suboffset * */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; /* "View.MemoryView":872 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< * * */ (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; } __pyx_L3:; /* "View.MemoryView":875 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":876 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< * else: * dst.suboffsets[suboffset_dim[0]] += start * stride */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); /* "View.MemoryView":875 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ goto __pyx_L23; } /* 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return -arg */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1099 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1104 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1105 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1107 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * 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Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; /* "View.MemoryView":1130 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1131 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1132 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1133 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1135 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1136 * * if 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# <<<<<<<<<<<<<< * free(tmpdata) * return 0 */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1307 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1308 * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; goto __pyx_L0; /* "View.MemoryView":1302 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ } /* "View.MemoryView":1294 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< * * */ } /* "View.MemoryView":1310 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { __pyx_t_2 = ('F' 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__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1317 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1318 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1320 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1321 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r 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* memcpy(data, item, itemsize) * data += stride */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1400 * if ndim == 1: * for i in range(extent): * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< * data += stride * else: */ memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize); /* "View.MemoryView":1401 * for i in range(extent): * memcpy(data, item, itemsize) * data += stride # <<<<<<<<<<<<<< * else: * for i in range(extent): */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } /* "View.MemoryView":1398 * cdef Py_ssize_t extent = shape[0] * * if ndim == 1: # <<<<<<<<<<<<<< * for i in range(extent): * memcpy(data, item, itemsize) */ goto __pyx_L3; } /* "View.MemoryView":1403 * data += stride * else: * for i in range(extent): # <<<<<<<<<<<<<< * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) */ /*else*/ { __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1404 * else: * for i in range(extent): * _slice_assign_scalar(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< * ndim - 1, itemsize, item) * data += stride */ __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1406 * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) * data += stride # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } } __pyx_L3:; /* "View.MemoryView":1391 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ /* function exit code */ } static struct __pyx_vtabstruct_array __pyx_vtable_array; static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_array_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_array_obj *)o); p->__pyx_vtab = __pyx_vtabptr_array; p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_array___dealloc__(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->mode); Py_CLEAR(p->_format); (*Py_TYPE(o)->tp_free)(o); } static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_array___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { PyObject *v = PyObject_GenericGetAttr(o, n); if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); v = __pyx_array___getattr__(o, n); } return v; } static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o); } static PyMethodDef __pyx_methods_array[] = { {"__getattr__", (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, 0}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_array[] = { {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_array = { 0, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_array, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_array = { 0, /*mp_length*/ __pyx_array___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_array = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif __pyx_array_getbuffer, /*bf_getbuffer*/ 0, /*bf_releasebuffer*/ }; static PyTypeObject __pyx_type___pyx_array = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._cwt.array", /*tp_name*/ sizeof(struct __pyx_array_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_array, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif 0, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ __pyx_tp_getattro_array, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ 0, /*tp_doc*/ 0, /*tp_traverse*/ 0, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_array, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_array, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_array, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { struct __pyx_MemviewEnum_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_MemviewEnum_obj *)o); p->name = Py_None; Py_INCREF(Py_None); return o; } static void __pyx_tp_dealloc_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); Py_CLEAR(p->name); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { int e; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; if (p->name) { e = (*v)(p->name, a); if (e) return e; } return 0; } static int __pyx_tp_clear_Enum(PyObject *o) { PyObject* tmp; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyMethodDef __pyx_methods_Enum[] = { {0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_MemviewEnum = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._cwt.Enum", /*tp_name*/ sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_Enum, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif __pyx_MemviewEnum___repr__, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_Enum, /*tp_traverse*/ __pyx_tp_clear_Enum, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_Enum, /*tp_methods*/ 0, /*tp_members*/ 0, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ __pyx_MemviewEnum___init__, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_Enum, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryview_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_memoryview_obj *)o); p->__pyx_vtab = __pyx_vtabptr_memoryview; p->obj = Py_None; Py_INCREF(Py_None); p->_size = Py_None; Py_INCREF(Py_None); p->_array_interface = Py_None; Py_INCREF(Py_None); p->view.obj = NULL; if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryview___dealloc__(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->obj); Py_CLEAR(p->_size); Py_CLEAR(p->_array_interface); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; if (p->obj) { e = (*v)(p->obj, a); if (e) return e; } if (p->_size) { e = (*v)(p->_size, a); if (e) return e; } if (p->_array_interface) { e = (*v)(p->_array_interface, a); if (e) return e; } if (p->view.obj) { e = (*v)(p->view.obj, a); if (e) return e; } return 0; } static int __pyx_tp_clear_memoryview(PyObject *o) { PyObject* tmp; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; tmp = ((PyObject*)p->obj); p->obj = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_size); p->_size = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_array_interface); p->_array_interface = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); Py_CLEAR(p->view.obj); return 0; } static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_memoryview___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); } static PyMethodDef __pyx_methods_memoryview[] = { {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0}, {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0}, {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0}, {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_memoryview[] = { {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_memoryview = { __pyx_memoryview___len__, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_memoryview, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_memoryview = { __pyx_memoryview___len__, /*mp_length*/ __pyx_memoryview___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_memoryview = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif __pyx_memoryview_getbuffer, /*bf_getbuffer*/ 0, /*bf_releasebuffer*/ }; static PyTypeObject __pyx_type___pyx_memoryview = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._cwt.memoryview", /*tp_name*/ sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif __pyx_memoryview___repr__, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_memoryview___str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_memoryview, /*tp_traverse*/ __pyx_tp_clear_memoryview, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_memoryview, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_memoryview, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_memoryview, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryviewslice_obj *p; PyObject *o = __pyx_tp_new_memoryview(t, a, k); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryviewslice_obj *)o); p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; p->from_object = Py_None; Py_INCREF(Py_None); p->from_slice.memview = NULL; return o; } static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryviewslice___dealloc__(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->from_object); PyObject_GC_Track(o); __pyx_tp_dealloc_memoryview(o); } static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; if (p->from_object) { e = 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break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%.200s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%.200s() got an unexpected keyword argument '%.200s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } /* Import */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } /* SaveResetException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); } static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } #endif /* PyErrExceptionMatches */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) { PyObject *exc_type = tstate->curexc_type; if (exc_type == err) return 1; if (unlikely(!exc_type)) return 0; return PyErr_GivenExceptionMatches(exc_type, err); } #endif /* GetException */ #if CYTHON_COMPILING_IN_CPYTHON static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { #else static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { #endif PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (local_tb) { if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; } #endif Py_XINCREF(local_tb); Py_XINCREF(local_type); Py_XINCREF(local_value); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } /* PyObjectCall */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyObject *result; ternaryfunc call = func->ob_type->tp_call; if (unlikely(!call)) return PyObject_Call(func, arg, kw); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = (*call)(func, arg, kw); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyErrFetchRestore */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; } #endif /* RaiseException */ #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { __Pyx_PyThreadState_declare Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } if (PyType_Check(type)) { #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } } __Pyx_PyThreadState_assign __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *instance_class = NULL; if (value && PyExceptionInstance_Check(value)) { instance_class = (PyObject*) Py_TYPE(value); if (instance_class != type) { int is_subclass = PyObject_IsSubclass(instance_class, type); if (!is_subclass) { instance_class = NULL; } else if (unlikely(is_subclass == -1)) { goto bad; } else { type = instance_class; } } } if (!instance_class) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyObject_Call(type, args, NULL); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { #if CYTHON_COMPILING_IN_PYPY PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); Py_INCREF(tb); PyErr_Restore(tmp_type, tmp_value, tb); Py_XDECREF(tmp_tb); #else PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } #endif } bad: Py_XDECREF(owned_instance); return; } #endif /* UnicodeAsUCS4 */ static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject* x) { Py_ssize_t length; #if CYTHON_PEP393_ENABLED length = PyUnicode_GET_LENGTH(x); if (likely(length == 1)) { return PyUnicode_READ_CHAR(x, 0); } #else length = PyUnicode_GET_SIZE(x); if (likely(length == 1)) { return PyUnicode_AS_UNICODE(x)[0]; } #if Py_UNICODE_SIZE == 2 else if (PyUnicode_GET_SIZE(x) == 2) { Py_UCS4 high_val = PyUnicode_AS_UNICODE(x)[0]; if (high_val >= 0xD800 && high_val <= 0xDBFF) { Py_UCS4 low_val = PyUnicode_AS_UNICODE(x)[1]; if (low_val >= 0xDC00 && low_val <= 0xDFFF) { return 0x10000 + (((high_val & ((1<<10)-1)) << 10) | (low_val & ((1<<10)-1))); } } } #endif #endif PyErr_Format(PyExc_ValueError, "only single character unicode strings can be converted to Py_UCS4, " "got length %" CYTHON_FORMAT_SSIZE_T "d", length); return (Py_UCS4)-1; } /* object_ord */ static long __Pyx__PyObject_Ord(PyObject* c) { Py_ssize_t size; if (PyBytes_Check(c)) { size = PyBytes_GET_SIZE(c); if (likely(size == 1)) { return (unsigned char) PyBytes_AS_STRING(c)[0]; } #if PY_MAJOR_VERSION < 3 } else if (PyUnicode_Check(c)) { return (long)__Pyx_PyUnicode_AsPy_UCS4(c); #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) } else if (PyByteArray_Check(c)) { size = PyByteArray_GET_SIZE(c); if (likely(size == 1)) { return (unsigned char) PyByteArray_AS_STRING(c)[0]; } #endif } else { PyErr_Format(PyExc_TypeError, "ord() expected string of length 1, but %.200s found", c->ob_type->tp_name); return (long)(Py_UCS4)-1; } PyErr_Format(PyExc_TypeError, "ord() expected a character, but string of length %zd found", size); return (long)(Py_UCS4)-1; } /* SetItemInt */ static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { int r; if (!j) return -1; r = PyObject_SetItem(o, j, v); Py_DECREF(j); return r; } static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) { PyObject* old = PyList_GET_ITEM(o, n); Py_INCREF(v); PyList_SET_ITEM(o, n, v); Py_DECREF(old); return 1; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_ass_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return -1; PyErr_Clear(); } } return m->sq_ass_item(o, i, v); } } #else #if CYTHON_COMPILING_IN_PYPY if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) { #else if (is_list || PySequence_Check(o)) { #endif return PySequence_SetItem(o, i, v); } #endif return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); } /* IterFinish */ static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } /* PyObjectCallMethO */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { PyObject *self, *result; PyCFunction cfunc; cfunc = PyCFunction_GET_FUNCTION(func); self = PyCFunction_GET_SELF(func); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = cfunc(self, arg); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyObjectCallNoArg */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { return __Pyx_PyObject_CallMethO(func, NULL); } } return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL); } #endif /* PyObjectCallOneArg */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_New(1); if (unlikely(!args)) return NULL; Py_INCREF(arg); PyTuple_SET_ITEM(args, 0, arg); result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { return __Pyx_PyObject_CallMethO(func, arg); } } return __Pyx__PyObject_CallOneArg(func, arg); } #else static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_Pack(1, arg); if (unlikely(!args)) return NULL; result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } #endif /* PyObjectCallMethod0 */ static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { PyObject *method, *result = NULL; method = __Pyx_PyObject_GetAttrStr(obj, method_name); if (unlikely(!method)) goto bad; #if CYTHON_COMPILING_IN_CPYTHON if (likely(PyMethod_Check(method))) { PyObject *self = PyMethod_GET_SELF(method); if (likely(self)) { PyObject *function = PyMethod_GET_FUNCTION(method); result = __Pyx_PyObject_CallOneArg(function, self); Py_DECREF(method); return result; } } #endif result = __Pyx_PyObject_CallNoArg(method); Py_DECREF(method); bad: return result; } /* RaiseNeedMoreValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", index, (index == 1) ? "" : "s"); } /* RaiseTooManyValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } /* UnpackItemEndCheck */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } /* RaiseNoneIterError */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } /* UnpackTupleError */ static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) { if (t == Py_None) { __Pyx_RaiseNoneNotIterableError(); } else if (PyTuple_GET_SIZE(t) < index) { __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t)); } else { __Pyx_RaiseTooManyValuesError(index); } } /* UnpackTuple2 */ static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int is_tuple, int has_known_size, int decref_tuple) { Py_ssize_t index; PyObject *value1 = NULL, *value2 = NULL, *iter = NULL; if (!is_tuple && unlikely(!PyTuple_Check(tuple))) { iternextfunc iternext; iter = PyObject_GetIter(tuple); if (unlikely(!iter)) goto bad; if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; } iternext = Py_TYPE(iter)->tp_iternext; value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; } value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; } if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad; Py_DECREF(iter); } else { if (!has_known_size && unlikely(PyTuple_GET_SIZE(tuple) != 2)) { __Pyx_UnpackTupleError(tuple, 2); goto bad; } #if CYTHON_COMPILING_IN_PYPY value1 = PySequence_ITEM(tuple, 0); if (unlikely(!value1)) goto bad; value2 = PySequence_ITEM(tuple, 1); if (unlikely(!value2)) goto bad; #else value1 = PyTuple_GET_ITEM(tuple, 0); value2 = PyTuple_GET_ITEM(tuple, 1); Py_INCREF(value1); Py_INCREF(value2); #endif if (decref_tuple) { Py_DECREF(tuple); } } *pvalue1 = value1; *pvalue2 = value2; return 0; unpacking_failed: if (!has_known_size && __Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); bad: Py_XDECREF(iter); Py_XDECREF(value1); Py_XDECREF(value2); if (decref_tuple) { Py_XDECREF(tuple); } return -1; } /* dict_iter */ static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name, Py_ssize_t* p_orig_length, int* p_source_is_dict) { is_dict = is_dict || likely(PyDict_CheckExact(iterable)); *p_source_is_dict = is_dict; #if !CYTHON_COMPILING_IN_PYPY if (is_dict) { *p_orig_length = PyDict_Size(iterable); Py_INCREF(iterable); return iterable; } #endif *p_orig_length = 0; if (method_name) { PyObject* iter; iterable = __Pyx_PyObject_CallMethod0(iterable, method_name); if (!iterable) return NULL; #if !CYTHON_COMPILING_IN_PYPY if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable)) return iterable; #endif iter = PyObject_GetIter(iterable); Py_DECREF(iterable); return iter; } return PyObject_GetIter(iterable); } static CYTHON_INLINE int __Pyx_dict_iter_next( PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos, PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) { PyObject* next_item; #if !CYTHON_COMPILING_IN_PYPY if (source_is_dict) { PyObject *key, *value; if (unlikely(orig_length != PyDict_Size(iter_obj))) { PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); return -1; } if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) { return 0; } if (pitem) { PyObject* tuple = PyTuple_New(2); if (unlikely(!tuple)) { return -1; } Py_INCREF(key); Py_INCREF(value); PyTuple_SET_ITEM(tuple, 0, key); PyTuple_SET_ITEM(tuple, 1, value); *pitem = tuple; } else { if (pkey) { Py_INCREF(key); *pkey = key; } if (pvalue) { Py_INCREF(value); *pvalue = value; } } return 1; } else if (PyTuple_CheckExact(iter_obj)) { Py_ssize_t pos = *ppos; if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0; *ppos = pos + 1; next_item = PyTuple_GET_ITEM(iter_obj, pos); Py_INCREF(next_item); } else if (PyList_CheckExact(iter_obj)) { Py_ssize_t pos = *ppos; if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0; *ppos = pos + 1; next_item = PyList_GET_ITEM(iter_obj, pos); Py_INCREF(next_item); } else #endif { next_item = PyIter_Next(iter_obj); if (unlikely(!next_item)) { return __Pyx_IterFinish(); } } if (pitem) { *pitem = next_item; } else if (pkey && pvalue) { if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1)) return -1; } else if (pkey) { *pkey = next_item; } else { *pvalue = next_item; } return 1; } /* BytesEquals */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { const char *ps1, *ps2; Py_ssize_t length = PyBytes_GET_SIZE(s1); if (length != PyBytes_GET_SIZE(s2)) return (equals == Py_NE); ps1 = PyBytes_AS_STRING(s1); ps2 = PyBytes_AS_STRING(s2); if (ps1[0] != ps2[0]) { return (equals == Py_NE); } else if (length == 1) { return (equals == Py_EQ); } else { int result = memcmp(ps1, ps2, (size_t)length); return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } /* UnicodeEquals */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else #if PY_MAJOR_VERSION < 3 PyObject* owned_ref = NULL; #endif int s1_is_unicode, s2_is_unicode; if (s1 == s2) { goto return_eq; } s1_is_unicode = PyUnicode_CheckExact(s1); s2_is_unicode = PyUnicode_CheckExact(s2); #if PY_MAJOR_VERSION < 3 if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { owned_ref = PyUnicode_FromObject(s2); if (unlikely(!owned_ref)) return -1; s2 = owned_ref; s2_is_unicode = 1; } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { owned_ref = PyUnicode_FromObject(s1); if (unlikely(!owned_ref)) return -1; s1 = owned_ref; s1_is_unicode = 1; } else if (((!s2_is_unicode) & (!s1_is_unicode))) { return __Pyx_PyBytes_Equals(s1, s2, equals); } #endif if (s1_is_unicode & s2_is_unicode) { Py_ssize_t length; int kind; void *data1, *data2; if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) return -1; length = __Pyx_PyUnicode_GET_LENGTH(s1); if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { goto return_ne; } kind = __Pyx_PyUnicode_KIND(s1); if (kind != __Pyx_PyUnicode_KIND(s2)) { goto return_ne; } data1 = __Pyx_PyUnicode_DATA(s1); data2 = __Pyx_PyUnicode_DATA(s2); if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { goto return_ne; } else if (length == 1) { goto return_eq; } else { int result = memcmp(data1, data2, (size_t)(length * kind)); #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & s2_is_unicode) { goto return_ne; } else if ((s2 == Py_None) & s1_is_unicode) { goto return_ne; } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } return_eq: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ); return_ne: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_NE); #endif } /* GetModuleGlobalName */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (likely(result)) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } /* ExtTypeTest */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } /* ArgTypeTest */ static void __Pyx_RaiseArgumentTypeInvalid(const char* name, PyObject *obj, PyTypeObject *type) { PyErr_Format(PyExc_TypeError, "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", name, type->tp_name, Py_TYPE(obj)->tp_name); } static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (likely(Py_TYPE(obj) == type)) return 1; #if PY_MAJOR_VERSION == 2 else if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; #endif } else { if (likely(PyObject_TypeCheck(obj, type))) return 1; } __Pyx_RaiseArgumentTypeInvalid(name, obj, type); return 0; } /* None */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } /* BufferFormatCheck */ static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { switch (*ts) { case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; default: break; } number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case '\r': case '\n': ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; ctx->new_count = 1; got_Z = 0; ++ts; break; } case 's': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } /* MemviewSliceInit */ static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } /* None */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* GetAttr */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } /* decode_c_string */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { size_t slen = strlen(cstring); if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { PyErr_SetString(PyExc_OverflowError, "c-string too long to convert to Python"); return NULL; } length = (Py_ssize_t) slen; if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } /* SwapException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = *type; tstate->exc_value = *value; tstate->exc_traceback = *tb; *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); PyErr_SetExcInfo(*type, *value, *tb); *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #endif /* GetItemInt */ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return NULL; PyErr_Clear(); } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } /* PyIntBinop */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { const long b = intval; long x; long a = PyInt_AS_LONG(op1); x = (long)((unsigned long)a + b); if (likely((x^a) >= 0 || (x^b) >= 0)) return PyInt_FromLong(x); return PyLong_Type.tp_as_number->nb_add(op1, op2); } #endif #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3 if (likely(PyLong_CheckExact(op1))) { const long b = intval; long a, x; const PY_LONG_LONG llb = intval; PY_LONG_LONG lla, llx; const digit* digits = ((PyLongObject*)op1)->ob_digit; const Py_ssize_t size = Py_SIZE(op1); if (likely(__Pyx_sst_abs(size) <= 1)) { a = likely(size) ? digits[0] : 0; if (size == -1) a = -a; } else { switch (size) { case -2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } default: return PyLong_Type.tp_as_number->nb_add(op1, op2); } } x = a + b; return PyLong_FromLong(x); long_long: llx = lla + llb; return PyLong_FromLongLong(llx); } #endif if (PyFloat_CheckExact(op1)) { const long b = intval; double a = PyFloat_AS_DOUBLE(op1); double result; PyFPE_START_PROTECT("add", return NULL) result = ((double)a) + (double)b; PyFPE_END_PROTECT(result) return PyFloat_FromDouble(result); } return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); } #endif /* None */ static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* WriteUnraisableException */ static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, int full_traceback, CYTHON_UNUSED int nogil) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_PyThreadState_declare #ifdef WITH_THREAD PyGILState_STATE state; if (nogil) state = PyGILState_Ensure(); #ifdef _MSC_VER else state = (PyGILState_STATE)-1; #endif #endif __Pyx_PyThreadState_assign __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); if (full_traceback) { Py_XINCREF(old_exc); Py_XINCREF(old_val); Py_XINCREF(old_tb); __Pyx_ErrRestore(old_exc, old_val, old_tb); PyErr_PrintEx(1); } #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } #ifdef WITH_THREAD if (nogil) PyGILState_Release(state); #endif } /* SetVTable */ static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } /* FetchCommonType */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { PyObject* fake_module; PyTypeObject* cached_type = NULL; fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); if (!fake_module) return NULL; Py_INCREF(fake_module); cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); if (cached_type) { if (!PyType_Check((PyObject*)cached_type)) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s is not a type object", type->tp_name); goto bad; } if (cached_type->tp_basicsize != type->tp_basicsize) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s has the wrong size, try recompiling", type->tp_name); goto bad; } } else { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); if (PyType_Ready(type) < 0) goto bad; if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) goto bad; Py_INCREF(type); cached_type = type; } done: Py_DECREF(fake_module); return cached_type; bad: Py_XDECREF(cached_type); cached_type = NULL; goto done; } /* CythonFunction */ static PyObject * __Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) { if (unlikely(op->func_doc == NULL)) { if (op->func.m_ml->ml_doc) { #if PY_MAJOR_VERSION >= 3 op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); #else op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); #endif if (unlikely(op->func_doc == NULL)) return NULL; } else { Py_INCREF(Py_None); return Py_None; } } Py_INCREF(op->func_doc); return op->func_doc; } static int __Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp = op->func_doc; if (value == NULL) { value = Py_None; } Py_INCREF(value); op->func_doc = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op) { if (unlikely(op->func_name == NULL)) { #if PY_MAJOR_VERSION >= 3 op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); #else op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); #endif if (unlikely(op->func_name == NULL)) return NULL; } Py_INCREF(op->func_name); return op->func_name; } static int __Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__name__ must be set to a string object"); return -1; } tmp = op->func_name; Py_INCREF(value); op->func_name = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_qualname); return op->func_qualname; } static int __Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__qualname__ must be set to a string object"); return -1; } tmp = op->func_qualname; Py_INCREF(value); op->func_qualname = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) { PyObject *self; self = m->func_closure; if (self == NULL) self = Py_None; Py_INCREF(self); return self; } static PyObject * __Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op) { if (unlikely(op->func_dict == NULL)) { op->func_dict = PyDict_New(); if (unlikely(op->func_dict == NULL)) return NULL; } Py_INCREF(op->func_dict); return op->func_dict; } static int __Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; if (unlikely(value == NULL)) { PyErr_SetString(PyExc_TypeError, "function's dictionary may not be deleted"); return -1; } if (unlikely(!PyDict_Check(value))) { PyErr_SetString(PyExc_TypeError, "setting function's dictionary to a non-dict"); return -1; } tmp = op->func_dict; Py_INCREF(value); op->func_dict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_globals); return op->func_globals; } static PyObject * __Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op) { Py_INCREF(Py_None); return Py_None; } static PyObject * __Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op) { PyObject* result = (op->func_code) ? op->func_code : Py_None; Py_INCREF(result); return result; } static int __Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { int result = 0; PyObject *res = op->defaults_getter((PyObject *) op); if (unlikely(!res)) return -1; #if CYTHON_COMPILING_IN_CPYTHON op->defaults_tuple = PyTuple_GET_ITEM(res, 0); Py_INCREF(op->defaults_tuple); op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); Py_INCREF(op->defaults_kwdict); #else op->defaults_tuple = PySequence_ITEM(res, 0); if (unlikely(!op->defaults_tuple)) result = -1; else { op->defaults_kwdict = PySequence_ITEM(res, 1); if (unlikely(!op->defaults_kwdict)) result = -1; } #endif Py_DECREF(res); return result; } static int __Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyTuple_Check(value)) { PyErr_SetString(PyExc_TypeError, "__defaults__ must be set to a tuple object"); return -1; } Py_INCREF(value); tmp = op->defaults_tuple; op->defaults_tuple = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_tuple; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_tuple; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__kwdefaults__ must be set to a dict object"); return -1; } Py_INCREF(value); tmp = op->defaults_kwdict; op->defaults_kwdict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_kwdict; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_kwdict; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value || value == Py_None) { value = NULL; } else if (!PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__annotations__ must be set to a dict object"); return -1; } Py_XINCREF(value); tmp = op->func_annotations; op->func_annotations = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op) { PyObject* result = op->func_annotations; if (unlikely(!result)) { result = PyDict_New(); if (unlikely(!result)) return NULL; op->func_annotations = result; } Py_INCREF(result); return result; } static PyGetSetDef __pyx_CyFunction_getsets[] = { {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, {0, 0, 0, 0, 0} }; static PyMemberDef __pyx_CyFunction_members[] = { {(char *) "__module__", T_OBJECT, offsetof(__pyx_CyFunctionObject, func.m_module), PY_WRITE_RESTRICTED, 0}, {0, 0, 0, 0, 0} }; static PyObject * __Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromString(m->func.m_ml->ml_name); #else return PyString_FromString(m->func.m_ml->ml_name); #endif } static PyMethodDef __pyx_CyFunction_methods[] = { {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, {0, 0, 0, 0} }; #if PY_VERSION_HEX < 0x030500A0 #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) #else #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) #endif static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type); if (op == NULL) return NULL; op->flags = flags; __Pyx_CyFunction_weakreflist(op) = NULL; op->func.m_ml = ml; op->func.m_self = (PyObject *) op; Py_XINCREF(closure); op->func_closure = closure; Py_XINCREF(module); op->func.m_module = module; op->func_dict = NULL; op->func_name = NULL; Py_INCREF(qualname); op->func_qualname = qualname; op->func_doc = NULL; op->func_classobj = NULL; op->func_globals = globals; Py_INCREF(op->func_globals); Py_XINCREF(code); op->func_code = code; op->defaults_pyobjects = 0; op->defaults = NULL; op->defaults_tuple = NULL; op->defaults_kwdict = NULL; op->defaults_getter = NULL; op->func_annotations = NULL; PyObject_GC_Track(op); return (PyObject *) op; } static int __Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) { Py_CLEAR(m->func_closure); Py_CLEAR(m->func.m_module); Py_CLEAR(m->func_dict); Py_CLEAR(m->func_name); Py_CLEAR(m->func_qualname); Py_CLEAR(m->func_doc); Py_CLEAR(m->func_globals); Py_CLEAR(m->func_code); Py_CLEAR(m->func_classobj); Py_CLEAR(m->defaults_tuple); Py_CLEAR(m->defaults_kwdict); Py_CLEAR(m->func_annotations); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_XDECREF(pydefaults[i]); PyObject_Free(m->defaults); m->defaults = NULL; } return 0; } static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) { PyObject_GC_UnTrack(m); if (__Pyx_CyFunction_weakreflist(m) != NULL) PyObject_ClearWeakRefs((PyObject *) m); __Pyx_CyFunction_clear(m); PyObject_GC_Del(m); } static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) { Py_VISIT(m->func_closure); Py_VISIT(m->func.m_module); Py_VISIT(m->func_dict); Py_VISIT(m->func_name); Py_VISIT(m->func_qualname); Py_VISIT(m->func_doc); Py_VISIT(m->func_globals); Py_VISIT(m->func_code); Py_VISIT(m->func_classobj); Py_VISIT(m->defaults_tuple); Py_VISIT(m->defaults_kwdict); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_VISIT(pydefaults[i]); } return 0; } static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(func); return func; } if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { if (type == NULL) type = (PyObject *)(Py_TYPE(obj)); return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); } if (obj == Py_None) obj = NULL; return __Pyx_PyMethod_New(func, obj, type); } static PyObject* __Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromFormat("", op->func_qualname, (void *)op); #else return PyString_FromFormat("", PyString_AsString(op->func_qualname), (void *)op); #endif } #if CYTHON_COMPILING_IN_PYPY static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyCFunctionObject* f = (PyCFunctionObject*)func; PyCFunction meth = f->m_ml->ml_meth; PyObject *self = f->m_self; Py_ssize_t size; switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { case METH_VARARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) return (*meth)(self, arg); break; case METH_VARARGS | METH_KEYWORDS: return (*(PyCFunctionWithKeywords)meth)(self, arg, kw); case METH_NOARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 0)) return (*meth)(self, NULL); PyErr_Format(PyExc_TypeError, "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; case METH_O: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 1)) { PyObject *result, *arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; result = (*meth)(self, arg0); Py_DECREF(arg0); return result; } PyErr_Format(PyExc_TypeError, "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; default: PyErr_SetString(PyExc_SystemError, "Bad call flags in " "__Pyx_CyFunction_Call. METH_OLDARGS is no " "longer supported!"); return NULL; } PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", f->m_ml->ml_name); return NULL; } #else static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { return PyCFunction_Call(func, arg, kw); } #endif static PyTypeObject __pyx_CyFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "cython_function_or_method", sizeof(__pyx_CyFunctionObject), 0, (destructor) __Pyx_CyFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif (reprfunc) __Pyx_CyFunction_repr, 0, 0, 0, 0, __Pyx_CyFunction_Call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, 0, (traverseproc) __Pyx_CyFunction_traverse, (inquiry) __Pyx_CyFunction_clear, 0, #if PY_VERSION_HEX < 0x030500A0 offsetof(__pyx_CyFunctionObject, func_weakreflist), #else offsetof(PyCFunctionObject, m_weakreflist), #endif 0, 0, __pyx_CyFunction_methods, __pyx_CyFunction_members, __pyx_CyFunction_getsets, 0, 0, __Pyx_CyFunction_descr_get, 0, offsetof(__pyx_CyFunctionObject, func_dict), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_CyFunction_init(void) { #if !CYTHON_COMPILING_IN_PYPY __pyx_CyFunctionType_type.tp_call = PyCFunction_Call; #endif __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); if (__pyx_CyFunctionType == NULL) { return -1; } return 0; } static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults = PyObject_Malloc(size); if (!m->defaults) return PyErr_NoMemory(); memset(m->defaults, 0, size); m->defaults_pyobjects = pyobjects; return m->defaults; } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_tuple = tuple; Py_INCREF(tuple); } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_kwdict = dict; Py_INCREF(dict); } static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->func_annotations = dict; Py_INCREF(dict); } /* FusedFunction */ static PyObject * __pyx_FusedFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject *qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject *code) { __pyx_FusedFunctionObject *fusedfunc = (__pyx_FusedFunctionObject *) __Pyx_CyFunction_New(type, ml, flags, qualname, self, module, globals, code); if (!fusedfunc) return NULL; fusedfunc->__signatures__ = NULL; fusedfunc->type = NULL; fusedfunc->self = NULL; return (PyObject *) fusedfunc; } static void __pyx_FusedFunction_dealloc(__pyx_FusedFunctionObject *self) { __pyx_FusedFunction_clear(self); __pyx_FusedFunctionType->tp_free((PyObject *) self); } static int __pyx_FusedFunction_traverse(__pyx_FusedFunctionObject *self, visitproc visit, void *arg) { Py_VISIT(self->self); Py_VISIT(self->type); Py_VISIT(self->__signatures__); return __Pyx_CyFunction_traverse((__pyx_CyFunctionObject *) self, visit, arg); } static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self) { Py_CLEAR(self->self); Py_CLEAR(self->type); Py_CLEAR(self->__signatures__); return __Pyx_CyFunction_clear((__pyx_CyFunctionObject *) self); } static PyObject * __pyx_FusedFunction_descr_get(PyObject *self, PyObject *obj, PyObject *type) { __pyx_FusedFunctionObject *func, *meth; func = (__pyx_FusedFunctionObject *) self; if (func->self || func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(self); return self; } if (obj == Py_None) obj = NULL; meth = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_NewEx( ((PyCFunctionObject *) func)->m_ml, ((__pyx_CyFunctionObject *) func)->flags, ((__pyx_CyFunctionObject *) func)->func_qualname, ((__pyx_CyFunctionObject *) func)->func_closure, ((PyCFunctionObject *) func)->m_module, ((__pyx_CyFunctionObject *) func)->func_globals, ((__pyx_CyFunctionObject *) func)->func_code); if (!meth) return NULL; Py_XINCREF(func->func.func_classobj); meth->func.func_classobj = func->func.func_classobj; Py_XINCREF(func->__signatures__); meth->__signatures__ = func->__signatures__; Py_XINCREF(type); meth->type = type; Py_XINCREF(func->func.defaults_tuple); meth->func.defaults_tuple = func->func.defaults_tuple; if (func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD) obj = type; Py_XINCREF(obj); meth->self = obj; return (PyObject *) meth; } static PyObject * _obj_to_str(PyObject *obj) { if (PyType_Check(obj)) return PyObject_GetAttr(obj, __pyx_n_s_name_2); else return PyObject_Str(obj); } static PyObject * __pyx_FusedFunction_getitem(__pyx_FusedFunctionObject *self, PyObject *idx) { PyObject *signature = NULL; PyObject *unbound_result_func; PyObject *result_func = NULL; if (self->__signatures__ == NULL) { PyErr_SetString(PyExc_TypeError, "Function is not fused"); return NULL; } if (PyTuple_Check(idx)) { PyObject *list = PyList_New(0); Py_ssize_t n = PyTuple_GET_SIZE(idx); PyObject *string = NULL; PyObject *sep = NULL; int i; if (!list) return NULL; for (i = 0; i < n; i++) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *item = PyTuple_GET_ITEM(idx, i); #else PyObject *item = PySequence_ITEM(idx, i); #endif string = _obj_to_str(item); #if !CYTHON_COMPILING_IN_CPYTHON Py_DECREF(item); #endif if (!string || PyList_Append(list, string) < 0) goto __pyx_err; Py_DECREF(string); } sep = PyUnicode_FromString("|"); if (sep) signature = PyUnicode_Join(sep, list); __pyx_err: ; Py_DECREF(list); Py_XDECREF(sep); } else { signature = _obj_to_str(idx); } if (!signature) return NULL; unbound_result_func = PyObject_GetItem(self->__signatures__, signature); if (unbound_result_func) { if (self->self || self->type) { __pyx_FusedFunctionObject *unbound = (__pyx_FusedFunctionObject *) unbound_result_func; Py_CLEAR(unbound->func.func_classobj); Py_XINCREF(self->func.func_classobj); unbound->func.func_classobj = self->func.func_classobj; result_func = __pyx_FusedFunction_descr_get(unbound_result_func, self->self, self->type); } else { result_func = unbound_result_func; Py_INCREF(result_func); } } Py_DECREF(signature); Py_XDECREF(unbound_result_func); return result_func; } static PyObject * __pyx_FusedFunction_callfunction(PyObject *func, PyObject *args, PyObject *kw) { __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; PyObject *result; int static_specialized = (cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD && !((__pyx_FusedFunctionObject *) func)->__signatures__); if (cyfunc->flags & __Pyx_CYFUNCTION_CCLASS && !static_specialized) { Py_ssize_t argc; PyObject *new_args; PyObject *self; PyObject *m_self; argc = PyTuple_GET_SIZE(args); new_args = PyTuple_GetSlice(args, 1, argc); if (!new_args) return NULL; self = PyTuple_GetItem(args, 0); if (!self) return NULL; m_self = cyfunc->func.m_self; cyfunc->func.m_self = self; result = __Pyx_CyFunction_Call(func, new_args, kw); cyfunc->func.m_self = m_self; Py_DECREF(new_args); } else { result = __Pyx_CyFunction_Call(func, args, kw); } return result; } static PyObject * __pyx_FusedFunction_call(PyObject *func, PyObject *args, PyObject *kw) { __pyx_FusedFunctionObject *binding_func = (__pyx_FusedFunctionObject *) func; Py_ssize_t argc = PyTuple_GET_SIZE(args); PyObject *new_args = NULL; __pyx_FusedFunctionObject *new_func = NULL; PyObject *result = NULL; PyObject *self = NULL; int is_staticmethod = binding_func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD; int is_classmethod = binding_func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD; if (binding_func->self) { Py_ssize_t i; new_args = PyTuple_New(argc + 1); if (!new_args) return NULL; self = binding_func->self; #if !CYTHON_COMPILING_IN_CPYTHON Py_INCREF(self); #endif Py_INCREF(self); PyTuple_SET_ITEM(new_args, 0, self); for (i = 0; i < argc; i++) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *item = PyTuple_GET_ITEM(args, i); Py_INCREF(item); #else PyObject *item = PySequence_ITEM(args, i); if (unlikely(!item)) goto bad; #endif PyTuple_SET_ITEM(new_args, i + 1, item); } args = new_args; } else if (binding_func->type) { if (argc < 1) { PyErr_SetString(PyExc_TypeError, "Need at least one argument, 0 given."); return NULL; } #if CYTHON_COMPILING_IN_CPYTHON self = PyTuple_GET_ITEM(args, 0); #else self = PySequence_ITEM(args, 0); if (unlikely(!self)) return NULL; #endif } if (self && !is_classmethod && !is_staticmethod) { int is_instance = PyObject_IsInstance(self, binding_func->type); if (unlikely(!is_instance)) { PyErr_Format(PyExc_TypeError, "First argument should be of type %.200s, got %.200s.", ((PyTypeObject *) binding_func->type)->tp_name, self->ob_type->tp_name); goto bad; } else if (unlikely(is_instance == -1)) { goto bad; } } #if !CYTHON_COMPILING_IN_CPYTHON Py_XDECREF(self); self = NULL; #endif if (binding_func->__signatures__) { PyObject *tup = PyTuple_Pack(4, binding_func->__signatures__, args, kw == NULL ? Py_None : kw, binding_func->func.defaults_tuple); if (!tup) goto bad; new_func = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_callfunction(func, tup, NULL); Py_DECREF(tup); if (!new_func) goto bad; Py_XINCREF(binding_func->func.func_classobj); Py_CLEAR(new_func->func.func_classobj); new_func->func.func_classobj = binding_func->func.func_classobj; func = (PyObject *) new_func; } result = __pyx_FusedFunction_callfunction(func, args, kw); bad: #if !CYTHON_COMPILING_IN_CPYTHON Py_XDECREF(self); #endif Py_XDECREF(new_args); Py_XDECREF((PyObject *) new_func); return result; } static PyMemberDef __pyx_FusedFunction_members[] = { {(char *) "__signatures__", T_OBJECT, offsetof(__pyx_FusedFunctionObject, __signatures__), READONLY, 0}, {0, 0, 0, 0, 0}, }; static PyMappingMethods __pyx_FusedFunction_mapping_methods = { 0, (binaryfunc) __pyx_FusedFunction_getitem, 0, }; static PyTypeObject __pyx_FusedFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "fused_cython_function", sizeof(__pyx_FusedFunctionObject), 0, (destructor) __pyx_FusedFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif 0, 0, 0, &__pyx_FusedFunction_mapping_methods, 0, (ternaryfunc) __pyx_FusedFunction_call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, 0, (traverseproc) __pyx_FusedFunction_traverse, (inquiry) __pyx_FusedFunction_clear, 0, 0, 0, 0, 0, __pyx_FusedFunction_members, __pyx_CyFunction_getsets, &__pyx_CyFunctionType_type, 0, __pyx_FusedFunction_descr_get, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_FusedFunction_init(void) { __pyx_FusedFunctionType = __Pyx_FetchCommonType(&__pyx_FusedFunctionType_type); if (__pyx_FusedFunctionType == NULL) { return -1; } return 0; } /* CodeObjectCache */ static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = start + (end - start) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } /* AddTraceback */ #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, 0, 0, 0, 0, __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ __pyx_d, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } Py_DECREF(obj); view->obj = NULL; } #endif /* MemviewSliceIsContig */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs.memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) return 0; itemsize *= mvs.shape[index]; } return 1; } /* OverlappingSlices */ static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } /* Capsule */ static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } /* TypeInfoCompare */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } /* MemviewSliceValidateAndInit */ static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessible " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* CIntFromPyVerify */ #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) #define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ {\ func_type value = func_value;\ if (sizeof(target_type) < sizeof(func_type)) {\ if (unlikely(value != (func_type) (target_type) value)) {\ func_type zero = 0;\ if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ return (target_type) -1;\ if (is_unsigned && unlikely(value < zero))\ goto raise_neg_overflow;\ else\ goto raise_overflow;\ }\ }\ return (target_type) value;\ } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(long) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(long) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(long), little, !is_unsigned); } } /* BytesContains */ static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character) { const Py_ssize_t length = PyBytes_GET_SIZE(bytes); char* char_start = PyBytes_AS_STRING(bytes); char* pos; for (pos=char_start; pos < char_start+length; pos++) { if (character == pos[0]) return 1; } return 0; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float32_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float32_t value = __pyx_PyFloat_AsFloat(obj); if ((value == (npy_float32)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float32_t *) itemp = value; return 1; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float64_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float64_t value = __pyx_PyFloat_AsDouble(obj); if ((value == (npy_float64)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float64_t *) itemp = value; return 1; } /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(int) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(int) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(int), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(enum NPY_TYPES) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(enum NPY_TYPES) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), little, !is_unsigned); } } /* MemviewSliceCopyTemplate */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } /* CIntFromPy */ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *x) { const size_t neg_one = (size_t) -1, const_zero = (size_t) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(size_t) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(size_t, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (size_t) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (size_t) 0; case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, digits[0]) case 2: if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 2 * PyLong_SHIFT) { return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 3: if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 3 * PyLong_SHIFT) { return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 4: if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 4 * PyLong_SHIFT) { return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (size_t) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(size_t) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(size_t) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (size_t) 0; case -1: __PYX_VERIFY_RETURN_INT(size_t, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, +digits[0]) case -2: if (8 * sizeof(size_t) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 2: if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { return (size_t) ((((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -3: if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 3: if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { return (size_t) ((((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -4: if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 4: if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { return (size_t) ((((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; } #endif if (sizeof(size_t) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, long, PyLong_AsLong(x)) } else if (sizeof(size_t) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else size_t val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (size_t) -1; } } else { size_t val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (size_t) -1; val = __Pyx_PyInt_As_size_t(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to size_t"); return (size_t) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to size_t"); return (size_t) -1; } /* CIntFromPy */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) case -2: if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -3: if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -4: if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; } #endif if (sizeof(int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (int) -1; } } else { int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (int) -1; val = __Pyx_PyInt_As_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to int"); return (int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to int"); return (int) -1; } /* CIntFromPy */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { const char neg_one = (char) -1, const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(char) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (char) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (char) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(char) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) case -2: if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -3: if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -4: if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; } #endif if (sizeof(char) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else char val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (char) -1; } } else { char val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (char) -1; val = __Pyx_PyInt_As_char(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to char"); return (char) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to char"); return (char) -1; } /* CIntFromPy */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(long) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (long) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (long) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(long) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) case -2: if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -3: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -4: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; } #endif if (sizeof(long) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else long val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (long) -1; } } else { long val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (long) -1; val = __Pyx_PyInt_As_long(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to long"); return (long) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long) -1; } /* CheckBinaryVersion */ static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); return PyErr_WarnEx(NULL, message, 1); } return 0; } /* FunctionExport */ static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(__pyx_m, (char *)"__pyx_capi__"); if (!d) { PyErr_Clear(); d = PyDict_New(); if (!d) goto bad; Py_INCREF(d); if (PyModule_AddObject(__pyx_m, (char *)"__pyx_capi__", d) < 0) goto bad; } tmp.fp = f; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(tmp.p, sig, 0); #else cobj = PyCObject_FromVoidPtrAndDesc(tmp.p, (void *)sig, 0); #endif if (!cobj) goto bad; if (PyDict_SetItemString(d, name, cobj) < 0) goto bad; Py_DECREF(cobj); Py_DECREF(d); return 0; bad: Py_XDECREF(cobj); Py_XDECREF(d); return -1; } /* ModuleImport */ #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif /* TypeImport */ #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%.200s.%.200s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd", module_name, class_name, basicsize, size); if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd", module_name, class_name, basicsize, size); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif /* FunctionImport */ #ifndef __PYX_HAVE_RT_ImportFunction #define __PYX_HAVE_RT_ImportFunction static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(module, (char *)"__pyx_capi__"); if (!d) goto bad; cobj = PyDict_GetItemString(d, funcname); if (!cobj) { PyErr_Format(PyExc_ImportError, "%.200s does not export expected C function %.200s", PyModule_GetName(module), funcname); goto bad; } #if PY_VERSION_HEX >= 0x02070000 if (!PyCapsule_IsValid(cobj, sig)) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj)); goto bad; } tmp.p = PyCapsule_GetPointer(cobj, sig); #else {const char *desc, *s1, *s2; desc = (const char *)PyCObject_GetDesc(cobj); if (!desc) goto bad; s1 = desc; s2 = sig; while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } if (*s1 != *s2) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, desc); goto bad; } tmp.p = PyCObject_AsVoidPtr(cobj);} #endif *f = tmp.fp; if (!(*f)) goto bad; Py_DECREF(d); return 0; bad: Py_XDECREF(d); return -1; } #endif /* InitStrings */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if CYTHON_COMPILING_IN_CPYTHON && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else if (__Pyx_PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_LENGTH(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else return PyUnicode_AsUTF8AndSize(o, length); #endif #endif } else #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) if (PyByteArray_Check(o)) { *length = PyByteArray_GET_SIZE(o); return PyByteArray_AS_STRING(o); } else #endif { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (unlikely(r < 0)) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return __Pyx_NewRef(x); m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%.4s__ returned non-%.4s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject *x; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(b))) { if (sizeof(Py_ssize_t) >= sizeof(long)) return PyInt_AS_LONG(b); else return PyInt_AsSsize_t(x); } #endif if (likely(PyLong_CheckExact(b))) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)b)->ob_digit; const Py_ssize_t size = Py_SIZE(b); if (likely(__Pyx_sst_abs(size) <= 1)) { ival = likely(size) ? digits[0] : 0; if (size == -1) ival = -ival; return ival; } else { switch (size) { case 2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; } } #endif return PyLong_AsSsize_t(b); } x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { return PyInt_FromSize_t(ival); } #endif /* Py_PYTHON_H */ PyWavelets-0.5.1/pywt/_extensions/_cwt.pxd0000755€>SK[€>P0000000025413017375740022603 0ustar lee8rxdomain^users00000000000000from ._pywt cimport ContinuousWavelet, data_t cimport numpy as np import numpy as np cpdef cwt_psi_single(data_t[::1] data, ContinuousWavelet wavelet, size_t output_len) PyWavelets-0.5.1/pywt/_extensions/_cwt.pyx0000755€>SK[€>P0000001343113017375740022631 0ustar lee8rxdomain^users00000000000000#cython: boundscheck=False, wraparound=False cimport common, c_wt from common cimport pywt_index_t, MODE from ._pywt cimport _check_dtype cimport numpy as np import numpy as np cpdef cwt_psi_single(data_t[::1] data, ContinuousWavelet wavelet, size_t output_len): cdef np.ndarray psi, psi_r, psi_i cdef size_t data_size = data.size cdef int family_number = 0 cdef double bandwidth_frequency cdef double center_frequency cdef int fbsp_order if output_len < 1: raise RuntimeError("Invalid output length.") #if data_t is np.float64_t: # TODO: Don't think these have to be 0-initialized # TODO: Check other methods of allocating (e.g. Cython/CPython arrays) if data_t is np.float64_t: if wavelet.short_family_name == "gaus": psi = np.zeros(output_len, np.float64) family_number = wavelet.family_number with nogil: c_wt.double_gaus(&data[0], psi.data, data_size, family_number) return psi elif wavelet.short_family_name == "mexh": psi = np.zeros(output_len, np.float64) with nogil: c_wt.double_mexh(&data[0], psi.data, data_size) return psi elif wavelet.short_family_name == "morl": psi = np.zeros(output_len, np.float64) with nogil: c_wt.double_morl(&data[0], psi.data, data_size) return psi elif wavelet.short_family_name == "cgau": psi_r = np.zeros(output_len, np.float64) psi_i = np.zeros(output_len, np.float64) family_number = wavelet.family_number with nogil: c_wt.double_cgau(&data[0], psi_r.data, psi_i.data, data_size, family_number) return (psi_r, psi_i) elif wavelet.short_family_name == "shan": psi_r = np.zeros(output_len, np.float64) psi_i = np.zeros(output_len, np.float64) bandwidth_frequency = wavelet.bandwidth_frequency center_frequency = wavelet.center_frequency with nogil: c_wt.double_shan(&data[0], psi_r.data, psi_i.data, data_size, bandwidth_frequency, center_frequency) return (psi_r, psi_i) elif wavelet.short_family_name == "fbsp": psi_r = np.zeros(output_len, np.float64) psi_i = np.zeros(output_len, np.float64) fbsp_order = wavelet.fbsp_order bandwidth_frequency = wavelet.bandwidth_frequency center_frequency = wavelet.center_frequency with nogil: c_wt.double_fbsp(&data[0], psi_r.data, psi_i.data, data_size, fbsp_order, bandwidth_frequency, center_frequency) return (psi_r, psi_i) elif wavelet.short_family_name == "cmor": psi_r = np.zeros(output_len, np.float64) psi_i = np.zeros(output_len, np.float64) bandwidth_frequency = wavelet.bandwidth_frequency center_frequency = wavelet.center_frequency with nogil: c_wt.double_cmor(&data[0], psi_r.data, psi_i.data, data_size, bandwidth_frequency, center_frequency) return (psi_r, psi_i) elif data_t is np.float32_t: if wavelet.short_family_name == "gaus": psi = np.zeros(output_len, np.float32) family_number = wavelet.family_number with nogil: c_wt.float_gaus(&data[0], psi.data, data_size, family_number) return psi elif wavelet.short_family_name == "mexh": psi = np.zeros(output_len, np.float32) with nogil: c_wt.float_mexh(&data[0], psi.data, data_size) return psi elif wavelet.short_family_name == "morl": psi = np.zeros(output_len, np.float32) with nogil: c_wt.float_morl(&data[0], psi.data, data_size) return psi elif wavelet.short_family_name == "cgau": psi_r = np.zeros(output_len, np.float32) psi_i = np.zeros(output_len, np.float32) family_number = wavelet.family_number with nogil: c_wt.float_cgau(&data[0], psi_r.data, psi_i.data, data_size, family_number) return (psi_r, psi_i) elif wavelet.short_family_name == "shan": psi_r = np.zeros(output_len, np.float32) psi_i = np.zeros(output_len, np.float32) bandwidth_frequency = wavelet.bandwidth_frequency center_frequency = wavelet.center_frequency with nogil: c_wt.float_shan(&data[0], psi_r.data, psi_i.data, data_size, bandwidth_frequency, center_frequency) return (psi_r, psi_i) elif wavelet.short_family_name == "fbsp": psi_r = np.zeros(output_len, np.float32) psi_i = np.zeros(output_len, np.float32) fbsp_order = wavelet.fbsp_order bandwidth_frequency = wavelet.bandwidth_frequency center_frequency = wavelet.center_frequency with nogil: c_wt.float_fbsp(&data[0], psi_r.data, psi_i.data, data_size, fbsp_order, bandwidth_frequency, center_frequency) return (psi_r, psi_i) elif wavelet.short_family_name == "cmor": psi_r = np.zeros(output_len, np.float32) psi_i = np.zeros(output_len, np.float32) bandwidth_frequency = wavelet.bandwidth_frequency center_frequency = wavelet.center_frequency with nogil: c_wt.float_cmor(&data[0], psi_r.data, psi_i.data, data_size, bandwidth_frequency, center_frequency) return (psi_r, psi_i) PyWavelets-0.5.1/pywt/_extensions/_dwt.c0000755€>SK[€>P0000470626013017376004022243 0ustar lee8rxdomain^users00000000000000/* Generated by Cython 0.24.1 */ /* BEGIN: Cython Metadata { "distutils": { "define_macros": [ [ "PY_EXTENSION", null ] ], "depends": [ "/home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/numpy/core/include/numpy/arrayobject.h", "/home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/numpy/core/include/numpy/ufuncobject.h", "pywt/_extensions/c/common.c", "pywt/_extensions/c/common.h", "pywt/_extensions/c/convolution.c", "pywt/_extensions/c/convolution.h", "pywt/_extensions/c/convolution.template.c", "pywt/_extensions/c/convolution.template.h", "pywt/_extensions/c/cwt.c", "pywt/_extensions/c/cwt.h", "pywt/_extensions/c/cwt.template.c", "pywt/_extensions/c/cwt.template.h", "pywt/_extensions/c/templating.h", "pywt/_extensions/c/wavelets.c", "pywt/_extensions/c/wavelets.h", "pywt/_extensions/c/wavelets_coeffs.h", "pywt/_extensions/c/wavelets_coeffs.template.h", "pywt/_extensions/c/wt.c", "pywt/_extensions/c/wt.h", "pywt/_extensions/c/wt.template.c", "pywt/_extensions/c/wt.template.h" ], "include_dirs": [ "pywt/_extensions/c", "/home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/numpy/core/include" ], "libraries": [ "c_wt" ] }, "module_name": "pywt._extensions._dwt" } END: Cython Metadata */ #define PY_SSIZE_T_CLEAN #include "Python.h" #ifndef Py_PYTHON_H #error Python headers needed to compile C extensions, please install development version of Python. #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03020000) #error Cython requires Python 2.6+ or Python 3.2+. #else #define CYTHON_ABI "0_24_1" #include #ifndef offsetof #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) #endif #if !defined(WIN32) && !defined(MS_WINDOWS) #ifndef __stdcall #define __stdcall #endif #ifndef __cdecl #define __cdecl #endif #ifndef __fastcall #define __fastcall #endif #endif #ifndef DL_IMPORT #define DL_IMPORT(t) t #endif #ifndef DL_EXPORT #define DL_EXPORT(t) t #endif #ifndef PY_LONG_LONG #define PY_LONG_LONG LONG_LONG #endif #ifndef Py_HUGE_VAL #define Py_HUGE_VAL HUGE_VAL #endif #ifdef PYPY_VERSION #define CYTHON_COMPILING_IN_PYPY 1 #define CYTHON_COMPILING_IN_CPYTHON 0 #else #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_CPYTHON 1 #endif #if !defined(CYTHON_USE_PYLONG_INTERNALS) && CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x02070000 #define CYTHON_USE_PYLONG_INTERNALS 1 #endif #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #undef SHIFT #undef BASE #undef MASK #endif #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) #define Py_OptimizeFlag 0 #endif #define __PYX_BUILD_PY_SSIZE_T "n" #define CYTHON_FORMAT_SSIZE_T "z" #if PY_MAJOR_VERSION < 3 #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #define __Pyx_DefaultClassType PyClass_Type #else #define __Pyx_BUILTIN_MODULE_NAME "builtins" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #define __Pyx_DefaultClassType PyType_Type #endif #ifndef Py_TPFLAGS_CHECKTYPES #define Py_TPFLAGS_CHECKTYPES 0 #endif #ifndef Py_TPFLAGS_HAVE_INDEX #define Py_TPFLAGS_HAVE_INDEX 0 #endif #ifndef Py_TPFLAGS_HAVE_NEWBUFFER #define Py_TPFLAGS_HAVE_NEWBUFFER 0 #endif #ifndef Py_TPFLAGS_HAVE_FINALIZE #define Py_TPFLAGS_HAVE_FINALIZE 0 #endif #if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) #define CYTHON_PEP393_ENABLED 1 #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ 0 : _PyUnicode_Ready((PyObject *)(op))) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u) #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? 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PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) #define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) #else #define __Pyx_PyString_Format(a, b) PyString_Format(a, b) #endif #if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII) #define PyObject_ASCII(o) PyObject_Repr(o) #endif #if PY_MAJOR_VERSION >= 3 #define PyBaseString_Type PyUnicode_Type #define PyStringObject PyUnicodeObject #define PyString_Type PyUnicode_Type #define PyString_Check PyUnicode_Check #define PyString_CheckExact PyUnicode_CheckExact #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) #else #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj)) #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj)) #endif #ifndef PySet_CheckExact #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) #endif #define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) #if PY_MAJOR_VERSION >= 3 #define PyIntObject PyLongObject #define PyInt_Type PyLong_Type #define PyInt_Check(op) PyLong_Check(op) #define PyInt_CheckExact(op) PyLong_CheckExact(op) #define PyInt_FromString PyLong_FromString #define PyInt_FromUnicode PyLong_FromUnicode #define PyInt_FromLong PyLong_FromLong #define PyInt_FromSize_t PyLong_FromSize_t #define PyInt_FromSsize_t PyLong_FromSsize_t #define PyInt_AsLong PyLong_AsLong #define PyInt_AS_LONG PyLong_AS_LONG #define PyInt_AsSsize_t PyLong_AsSsize_t #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask #define PyNumber_Int PyNumber_Long #endif #if PY_MAJOR_VERSION >= 3 #define PyBoolObject PyLongObject #endif #if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY #ifndef PyUnicode_InternFromString #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) #endif #endif #if PY_VERSION_HEX < 0x030200A4 typedef long Py_hash_t; #define __Pyx_PyInt_FromHash_t PyInt_FromLong #define __Pyx_PyInt_AsHash_t PyInt_AsLong #else #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func)) #else #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) #endif #if PY_VERSION_HEX >= 0x030500B1 #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) #elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 typedef struct { unaryfunc am_await; unaryfunc am_aiter; unaryfunc am_anext; } __Pyx_PyAsyncMethodsStruct; #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) #else #define __Pyx_PyType_AsAsync(obj) NULL #endif #ifndef CYTHON_RESTRICT #if defined(__GNUC__) #define CYTHON_RESTRICT __restrict__ #elif defined(_MSC_VER) && _MSC_VER >= 1400 #define CYTHON_RESTRICT __restrict #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_RESTRICT restrict #else #define CYTHON_RESTRICT #endif #endif #define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) #ifndef CYTHON_INLINE #if defined(__GNUC__) #define CYTHON_INLINE __inline__ #elif defined(_MSC_VER) #define CYTHON_INLINE __inline #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_INLINE inline #else #define CYTHON_INLINE #endif #endif #if defined(WIN32) || defined(MS_WINDOWS) #define _USE_MATH_DEFINES #endif #include #ifdef NAN #define __PYX_NAN() ((float) NAN) #else static CYTHON_INLINE float __PYX_NAN() { float value; memset(&value, 0xFF, sizeof(value)); return value; } #endif #if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) #define __Pyx_truncl trunc #else #define __Pyx_truncl truncl #endif #define __PYX_ERR(f_index, lineno, Ln_error) \ { \ __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ } #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) #else #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) #endif #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #define __PYX_HAVE__pywt___extensions___dwt #define __PYX_HAVE_API__pywt___extensions___dwt #include "c/common.h" #include "c/wavelets.h" #include "string.h" #include "stdio.h" #include "stdlib.h" #include "numpy/arrayobject.h" #include "numpy/ufuncobject.h" #include "c/wt.h" #include "c/cwt.h" #include "pythread.h" #include "pystate.h" #ifdef _OPENMP #include #endif /* _OPENMP */ #ifdef PYREX_WITHOUT_ASSERTIONS #define CYTHON_WITHOUT_ASSERTIONS #endif #ifndef CYTHON_UNUSED # if defined(__GNUC__) # if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif #endif #ifndef CYTHON_NCP_UNUSED # if CYTHON_COMPILING_IN_CPYTHON # define CYTHON_NCP_UNUSED # else # define CYTHON_NCP_UNUSED CYTHON_UNUSED # endif #endif typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 #define __PYX_DEFAULT_STRING_ENCODING "" #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #define __Pyx_uchar_cast(c) ((unsigned char)c) #define __Pyx_long_cast(x) ((long)x) #define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ (sizeof(type) < sizeof(Py_ssize_t)) ||\ (sizeof(type) > sizeof(Py_ssize_t) &&\ likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX) &&\ (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ v == (type)PY_SSIZE_T_MIN))) ||\ (sizeof(type) == sizeof(Py_ssize_t) &&\ (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX))) ) #if defined (__cplusplus) && __cplusplus >= 201103L #include #define __Pyx_sst_abs(value) std::abs(value) #elif SIZEOF_INT >= SIZEOF_SIZE_T #define __Pyx_sst_abs(value) abs(value) #elif SIZEOF_LONG >= SIZEOF_SIZE_T #define __Pyx_sst_abs(value) labs(value) #elif defined (_MSC_VER) && defined (_M_X64) #define __Pyx_sst_abs(value) _abs64(value) #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define __Pyx_sst_abs(value) llabs(value) #elif defined (__GNUC__) #define __Pyx_sst_abs(value) __builtin_llabs(value) #else #define __Pyx_sst_abs(value) ((value<0) ? -value : value) #endif static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject*); static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); #define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) #define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) #define __Pyx_PyBytes_FromString PyBytes_FromString #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); #if PY_MAJOR_VERSION < 3 #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #else #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize #endif #define __Pyx_PyObject_AsSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) #define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) #define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) #define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) #define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) #if PY_MAJOR_VERSION < 3 static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { const Py_UNICODE *u_end = u; while (*u_end++) ; return (size_t)(u_end - u - 1); } #else #define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen #endif #define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode #define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode #define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) #define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) #define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False)) static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); #if CYTHON_COMPILING_IN_CPYTHON #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) #else #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) #endif #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) #else #define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) #endif #define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII static int __Pyx_sys_getdefaultencoding_not_ascii; static int __Pyx_init_sys_getdefaultencoding_params(void) { PyObject* sys; PyObject* default_encoding = NULL; PyObject* ascii_chars_u = NULL; PyObject* ascii_chars_b = NULL; const char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (!sys) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); Py_DECREF(sys); if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; if (strcmp(default_encoding_c, "ascii") == 0) { __Pyx_sys_getdefaultencoding_not_ascii = 0; } else { char ascii_chars[128]; int c; for (c = 0; c < 128; c++) { ascii_chars[c] = c; } __Pyx_sys_getdefaultencoding_not_ascii = 1; ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); if (!ascii_chars_u) goto bad; ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { PyErr_Format( PyExc_ValueError, "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", default_encoding_c); goto bad; } Py_DECREF(ascii_chars_u); Py_DECREF(ascii_chars_b); } Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return -1; } #endif #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) #else #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT static char* __PYX_DEFAULT_STRING_ENCODING; static int __Pyx_init_sys_getdefaultencoding_params(void) { PyObject* sys; PyObject* default_encoding = NULL; char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (!sys) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); Py_DECREF(sys); if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(default_encoding); return -1; } #endif #endif /* Test for GCC > 2.95 */ #if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) #define likely(x) __builtin_expect(!!(x), 1) #define unlikely(x) __builtin_expect(!!(x), 0) #else /* !__GNUC__ or GCC < 2.95 */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ */ static PyObject *__pyx_m; static PyObject *__pyx_d; static PyObject *__pyx_b; static PyObject *__pyx_empty_tuple; static PyObject *__pyx_empty_bytes; static PyObject *__pyx_empty_unicode; static int __pyx_lineno; static int __pyx_clineno = 0; static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; /* None.proto */ #if !defined(CYTHON_CCOMPLEX) #if defined(__cplusplus) #define CYTHON_CCOMPLEX 1 #elif defined(_Complex_I) #define CYTHON_CCOMPLEX 1 #else #define CYTHON_CCOMPLEX 0 #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus #include #else #include #endif #endif #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) #undef _Complex_I #define _Complex_I 1.0fj #endif static const char *__pyx_f[] = { "pywt/_extensions/_dwt.pyx", "__init__.pxd", "stringsource", "type.pxd", "pywt/_extensions/_pywt.pxd", }; /* MemviewSliceStruct.proto */ struct __pyx_memoryview_obj; typedef struct { struct __pyx_memoryview_obj *memview; char *data; Py_ssize_t shape[8]; Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; /* BufferFormatStructs.proto */ #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; struct __Pyx_StructField_* fields; size_t size; size_t arraysize[8]; int ndim; char typegroup; char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; /* Atomics.proto */ #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 #include #undef __pyx_atomic_int_type #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #pragma message ("Using MSVC atomics") #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview)\ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview)\ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":725 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":726 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":727 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":728 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":732 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":733 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":734 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":735 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":739 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":740 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":749 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":750 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":751 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":753 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":754 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":755 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":757 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":758 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":760 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":761 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":762 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; /* "_pywt.pxd":4 * cimport numpy as np * * ctypedef Py_ssize_t pywt_index_t # <<<<<<<<<<<<<< * * ctypedef fused data_t: */ typedef Py_ssize_t __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t; /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; 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(PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, int wraparound, int boundscheck); /* IterFinish.proto */ static CYTHON_INLINE int __Pyx_IterFinish(void); /* PyObjectCallMethO.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); #endif /* PyObjectCallNoArg.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); #else #define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL) #endif /* PyObjectCallOneArg.proto */ static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); /* PyObjectCallMethod0.proto */ static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); /* RaiseNeedMoreValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); /* RaiseTooManyValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); /* UnpackItemEndCheck.proto */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /* RaiseNoneIterError.proto */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); /* UnpackTupleError.proto */ static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); /* UnpackTuple2.proto */ static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** value1, PyObject** value2, int is_tuple, int has_known_size, int decref_tuple); /* dict_iter.proto */ static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name, Py_ssize_t* p_orig_length, int* p_is_dict); static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos, PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict); /* ListAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif /* GetModuleGlobalName.proto */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /* ExtTypeTest.proto */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /* ArgTypeTest.proto */ static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact); /* None.proto */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); /* BufferFormatCheck.proto */ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type); // PROTO /* MemviewSliceInit.proto */ #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); /* IncludeStringH.proto */ #include /* BytesEquals.proto */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); /* UnicodeEquals.proto */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /* StrEquals.proto */ #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals #else #define __Pyx_PyString_Equals __Pyx_PyBytes_Equals #endif /* None.proto */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); /* UnaryNegOverflows.proto */ #define UNARY_NEG_WOULD_OVERFLOW(x)\ (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ /* GetAttr.proto */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /* decode_c_string.proto */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); /* SwapException.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); #endif /* GetItemInt.proto */ #define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ __Pyx_GetItemInt_Generic(o, to_py_func(i)))) #define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ /* ListCompAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif /* PyIntBinop.proto */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace); #else #define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\ (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) #endif /* ListExtend.proto */ static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { #if CYTHON_COMPILING_IN_CPYTHON PyObject* none = _PyList_Extend((PyListObject*)L, v); if (unlikely(!none)) return -1; Py_DECREF(none); return 0; #else return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); #endif } /* ForceInitThreads.proto */ #ifndef __PYX_FORCE_INIT_THREADS #define __PYX_FORCE_INIT_THREADS 0 #endif /* None.proto */ static CYTHON_INLINE long __Pyx_div_long(long, long); /* WriteUnraisableException.proto */ static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, const char *filename, int full_traceback, int nogil); /* StringJoin.proto */ #if PY_MAJOR_VERSION < 3 #define __Pyx_PyString_Join __Pyx_PyBytes_Join #define __Pyx_PyBaseString_Join(s, v) (PyUnicode_CheckExact(s) ? PyUnicode_Join(s, v) : __Pyx_PyBytes_Join(s, v)) #else #define __Pyx_PyString_Join PyUnicode_Join #define __Pyx_PyBaseString_Join PyUnicode_Join #endif #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION < 3 #define __Pyx_PyBytes_Join _PyString_Join #else #define __Pyx_PyBytes_Join _PyBytes_Join #endif #else static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values); #endif /* SetVTable.proto */ static int __Pyx_SetVtable(PyObject *dict, void *vtable); /* FetchCommonType.proto */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); /* CythonFunction.proto */ #define __Pyx_CyFunction_USED 1 #include #define __Pyx_CYFUNCTION_STATICMETHOD 0x01 #define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 #define __Pyx_CYFUNCTION_CCLASS 0x04 #define __Pyx_CyFunction_GetClosure(f)\ (((__pyx_CyFunctionObject *) (f))->func_closure) #define __Pyx_CyFunction_GetClassObj(f)\ (((__pyx_CyFunctionObject *) (f))->func_classobj) #define __Pyx_CyFunction_Defaults(type, f)\ ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) #define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) typedef struct { PyCFunctionObject func; #if PY_VERSION_HEX < 0x030500A0 PyObject *func_weakreflist; #endif PyObject *func_dict; PyObject *func_name; PyObject *func_qualname; PyObject *func_doc; PyObject *func_globals; PyObject *func_code; PyObject *func_closure; PyObject *func_classobj; void *defaults; int defaults_pyobjects; int flags; PyObject *defaults_tuple; PyObject *defaults_kwdict; PyObject *(*defaults_getter)(PyObject *); PyObject *func_annotations; } __pyx_CyFunctionObject; static PyTypeObject *__pyx_CyFunctionType = 0; #define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject* code); static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, size_t size, int pyobjects); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, PyObject *tuple); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, PyObject *dict); static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, PyObject *dict); static int __pyx_CyFunction_init(void); /* FusedFunction.proto */ typedef struct { __pyx_CyFunctionObject func; PyObject *__signatures__; PyObject *type; PyObject *self; } __pyx_FusedFunctionObject; #define __pyx_FusedFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __pyx_FusedFunction_New(__pyx_FusedFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__pyx_FusedFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject *qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject *code); static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self); static PyTypeObject *__pyx_FusedFunctionType = NULL; static int __pyx_FusedFunction_init(void); #define __Pyx_FusedFunction_USED /* CodeObjectCache.proto */ typedef struct { PyCodeObject* code_object; int code_line; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); /* AddTraceback.proto */ static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif /* BufferStructDeclare.proto */ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; /* None.proto */ static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; /* MemviewSliceIsContig.proto */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); /* OverlappingSlices.proto */ static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); /* Capsule.proto */ static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); /* TypeInfoCompare.proto */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); /* MemviewSliceValidateAndInit.proto */ static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_char(unsigned char value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); /* BytesContains.proto */ static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_size_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_size_t(const char *itemp, PyObject *obj); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(__cplusplus) && CYTHON_CCOMPLEX && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif /* None.proto */ static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif /* None.proto */ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); /* MemviewSliceCopyTemplate.proto */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); /* CIntFromPy.proto */ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE MODE __Pyx_PyInt_As_MODE(PyObject *); /* TypeInfoToFormat.proto */ struct __pyx_typeinfo_string { char string[3]; }; static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type); /* CIntFromPy.proto */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); /* CopyContentsUtility.proto */ #define __pyx_memoryview_copy_slice_dc_size_t_c(slice)\ __pyx_memoryview_copy_new_contig(&slice, "c", 1,\ sizeof(size_t), (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE),\ 0) /* CIntFromPy.proto */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_size_t(PyObject *); /* CheckBinaryVersion.proto */ static int __Pyx_check_binary_version(void); /* FunctionExport.proto */ static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig); /* PyIdentifierFromString.proto */ #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif /* ModuleImport.proto */ static PyObject *__Pyx_ImportModule(const char *name); /* TypeImport.proto */ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /* FunctionImport.proto */ static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig); /* InitStrings.proto */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ /* Module declarations from 'pywt._extensions.common' */ /* Module declarations from 'pywt._extensions.wavelet' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'cpython' */ /* Module declarations from 'cpython.object' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'pywt._extensions._pywt' */ static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_Wavelet = 0; static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_ContinuousWavelet = 0; static PyArray_Descr *(*__pyx_f_4pywt_11_extensions_5_pywt__check_dtype)(PyObject *, int __pyx_skip_dispatch); /*proto*/ /* Module declarations from 'pywt._extensions.c_wt' */ /* Module declarations from 'pywt._extensions._dwt' */ static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static int __pyx_memoryview_thread_locks_used; static PyThread_type_lock __pyx_memoryview_thread_locks[8]; static PyObject *__pyx_f_4pywt_11_extensions_4_dwt_dwt_max_level(size_t, size_t, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_4_dwt_dwt_coeff_len(size_t, size_t, MODE, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_4_dwt_dwt_axis(PyArrayObject *, struct WaveletObject *, MODE, int __pyx_skip_dispatch, struct __pyx_opt_args_4pywt_11_extensions_4_dwt_dwt_axis *__pyx_optional_args); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_4_dwt_idwt_single(PyArrayObject *, PyArrayObject *, struct WaveletObject *, MODE, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_4_dwt_idwt_axis(PyArrayObject *, PyArrayObject *, struct WaveletObject *, MODE, int __pyx_skip_dispatch, struct __pyx_opt_args_4pywt_11_extensions_4_dwt_idwt_axis *__pyx_optional_args); /*proto*/ static PyObject *__pyx_fuse_0__pyx_f_4pywt_11_extensions_4_dwt_dwt_single(__Pyx_memviewslice, struct WaveletObject *, MODE, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_fuse_1__pyx_f_4pywt_11_extensions_4_dwt_dwt_single(__Pyx_memviewslice, struct WaveletObject *, MODE, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_fuse_0__pyx_f_4pywt_11_extensions_4_dwt_upcoef(int, __Pyx_memviewslice, struct WaveletObject *, int, int, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_fuse_1__pyx_f_4pywt_11_extensions_4_dwt_upcoef(int, __Pyx_memviewslice, struct WaveletObject *, int, int, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_fuse_0__pyx_f_4pywt_11_extensions_4_dwt_downcoef(int, __Pyx_memviewslice, struct WaveletObject *, MODE, int, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_fuse_1__pyx_f_4pywt_11_extensions_4_dwt_downcoef(int, __Pyx_memviewslice, struct WaveletObject *, MODE, int, int __pyx_skip_dispatch); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static PyObject *__pyx_format_from_typeinfo(__Pyx_TypeInfo *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_size_t = { "size_t", NULL, sizeof(size_t), { 0 }, 0, IS_UNSIGNED(size_t) ? 'U' : 'I', IS_UNSIGNED(size_t), 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { "float32_t", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 }; #define __Pyx_MODULE_NAME "pywt._extensions._dwt" int __pyx_module_is_main_pywt___extensions___dwt = 0; /* Implementation of 'pywt._extensions._dwt' */ static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_ImportError; static PyObject *__pyx_builtin_AttributeError; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_zip; static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static const char __pyx_k_O[] = "O"; static const char __pyx_k_T[] = "T{"; static const char __pyx_k_c[] = "c"; static const char __pyx_k_s[] = "(%s)"; static const char __pyx_k__3[] = "()"; static const char __pyx_k__5[] = "|"; static const char __pyx_k_cA[] = "cA"; static const char __pyx_k_cD[] = "cD"; static const char __pyx_k_id[] = "id"; static const char __pyx_k_np[] = "np"; static const char __pyx_k__66[] = "^"; static const char __pyx_k__67[] = ""; static const char __pyx_k__68[] = ":"; static const char __pyx_k__69[] = "}"; static const char __pyx_k__70[] = ","; static const char __pyx_k_obj[] = "obj"; static const char __pyx_k_zip[] = "zip"; static const char __pyx_k_args[] = "args"; static const char __pyx_k_axis[] = "axis"; static const char __pyx_k_base[] = "base"; static const char __pyx_k_copy[] = "copy"; static const char __pyx_k_data[] = "data"; static const char __pyx_k_join[] = "join"; static const char __pyx_k_kind[] = "kind"; static const char __pyx_k_main[] = "__main__"; static const char __pyx_k_mode[] = "mode"; static const char __pyx_k_name[] = "name"; static const char __pyx_k_ndim[] = "ndim"; static const char __pyx_k_pack[] = "pack"; static const char __pyx_k_size[] = "size"; static const char __pyx_k_step[] = "step"; static const char __pyx_k_stop[] = "stop"; static const char __pyx_k_take[] = "take"; static const char __pyx_k_test[] = "__test__"; static const char __pyx_k_ASCII[] = "ASCII"; static const char __pyx_k_class[] = "__class__"; static const char __pyx_k_dtype[] = "dtype"; static const char __pyx_k_empty[] = "empty"; static const char __pyx_k_error[] = "error"; static const char __pyx_k_flags[] = "flags"; static const char __pyx_k_level[] = "level"; static const char __pyx_k_numpy[] = "numpy"; static const char __pyx_k_range[] = "range"; static const char __pyx_k_shape[] = "shape"; static const char __pyx_k_split[] = "split"; static const char __pyx_k_start[] = "start"; static const char __pyx_k_strip[] = "strip"; static const char __pyx_k_zeros[] = "zeros"; static const char __pyx_k_astype[] = "astype"; static const char __pyx_k_coeffs[] = "coeffs"; static const char __pyx_k_encode[] = "encode"; static const char __pyx_k_format[] = "format"; static const char __pyx_k_import[] = "__import__"; static const char __pyx_k_kwargs[] = "kwargs"; static const char __pyx_k_name_2[] = "__name__"; static const char __pyx_k_struct[] = "struct"; static const char __pyx_k_unpack[] = "unpack"; static const char __pyx_k_upcoef[] = "upcoef"; static const char __pyx_k_coefs_a[] = "coefs_a"; static const char __pyx_k_coefs_d[] = "coefs_d"; static const char __pyx_k_dec_len[] = "dec_len"; static const char __pyx_k_float32[] = "float32"; static const char __pyx_k_float64[] = "float64"; static const char __pyx_k_fortran[] = "fortran"; static const char __pyx_k_memview[] = "memview"; static const char __pyx_k_ndarray[] = "ndarray"; static const char __pyx_k_rec_len[] = "rec_len"; static const char __pyx_k_wavelet[] = "wavelet"; static const char __pyx_k_Ellipsis[] = "Ellipsis"; static const char __pyx_k_data_len[] = "data_len"; static const char __pyx_k_defaults[] = "defaults"; static const char __pyx_k_do_dec_a[] = "do_dec_a"; static const char __pyx_k_do_rec_a[] = "do_rec_a"; static const char __pyx_k_downcoef[] = "downcoef"; static const char __pyx_k_itemsize[] = "itemsize"; static const char __pyx_k_TypeError[] = "TypeError"; static const char __pyx_k_enumerate[] = "enumerate"; static const char __pyx_k_float32_t[] = "float32_t"; static const char __pyx_k_float64_t[] = "float64_t"; static const char __pyx_k_IndexError[] = "IndexError"; static const char __pyx_k_ValueError[] = "ValueError"; static const char __pyx_k_dwt_single[] = "dwt_single"; static const char __pyx_k_filter_len[] = "filter_len"; static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; static const char __pyx_k_signatures[] = "signatures"; static const char __pyx_k_ImportError[] = "ImportError"; static const char __pyx_k_MemoryError[] = "MemoryError"; static const char __pyx_k_C_dwt_failed[] = "C dwt failed."; static const char __pyx_k_RuntimeError[] = "RuntimeError"; static const char __pyx_k_C_idwt_failed[] = "C idwt failed."; static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; static const char __pyx_k_AttributeError[] = "AttributeError"; static const char __pyx_k_C_dec_a_failed[] = "C dec_a failed."; static const char __pyx_k_C_dec_d_failed[] = "C dec_d failed."; static const char __pyx_k_C_rec_a_failed[] = "C rec_a failed."; static const char __pyx_k_C_rec_d_failed[] = "C rec_d failed."; static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; static const char __pyx_k_pyx_fuse_0upcoef[] = "__pyx_fuse_0upcoef"; static const char __pyx_k_pyx_fuse_1upcoef[] = "__pyx_fuse_1upcoef"; static const char __pyx_k_pyx_fuse_0downcoef[] = "__pyx_fuse_0downcoef"; static const char __pyx_k_pyx_fuse_1downcoef[] = "__pyx_fuse_1downcoef"; static const char __pyx_k_strided_and_direct[] = ""; static const char __pyx_k_pyx_fuse_0dwt_single[] = "__pyx_fuse_0dwt_single"; static const char __pyx_k_pyx_fuse_1dwt_single[] = "__pyx_fuse_1dwt_single"; static const char __pyx_k_strided_and_indirect[] = ""; static const char __pyx_k_Invalid_output_length[] = "Invalid output length."; static const char __pyx_k_contiguous_and_direct[] = ""; static const char __pyx_k_pywt__extensions__dwt[] = "pywt._extensions._dwt"; static const char __pyx_k_MemoryView_of_r_object[] = ""; static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; static const char __pyx_k_contiguous_and_indirect[] = ""; static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; static const char __pyx_k_C_wavelet_transform_failed[] = "C wavelet transform failed"; static const char __pyx_k_No_matching_signature_found[] = "No matching signature found"; static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; static const char __pyx_k_Expected_at_least_d_arguments[] = "Expected at least %d arguments"; static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; static const char __pyx_k_strided_and_direct_or_indirect[] = ""; static const char __pyx_k_media_Data1_src_repositories_my[] = "/media/Data1/src_repositories/my_git/pyir/pywt_release/pywt/pywt/_extensions/_dwt.pyx"; static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; static const char __pyx_k_Array_must_be_floating_point_not[] = "Array must be floating point, not {}"; static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; static const char __pyx_k_C_inverse_wavelet_transform_fail[] = "C inverse wavelet transform failed"; static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; static const char __pyx_k_Coefficients_arrays_must_have_th[] = "Coefficients arrays must have the same size."; static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; static const char __pyx_k_Function_call_with_ambiguous_arg[] = "Function call with ambiguous argument types"; static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; static const char __pyx_k_Invalid_coefficient_arrays_lengt[] = "Invalid coefficient arrays length for specified wavelet. Wavelet and mode must be the same as used for decomposition."; static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; static const char __pyx_k_Value_of_data_len_must_be_greate[] = "Value of data_len must be greater than zero."; static const char __pyx_k_Value_of_filter_len_must_be_grea[] = "Value of filter_len must be greater than zero."; static const char __pyx_k_Value_of_level_must_be_greater_t[] = "Value of level must be greater than 0."; static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; static const char __pyx_k_Coefficients_arrays_must_have_th_2[] = "Coefficients arrays must have the same dtype."; static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; static PyObject *__pyx_n_s_ASCII; static PyObject *__pyx_kp_s_Array_must_be_floating_point_not; static PyObject *__pyx_n_s_AttributeError; static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; static PyObject *__pyx_kp_s_C_dec_a_failed; static PyObject *__pyx_kp_s_C_dec_d_failed; static PyObject *__pyx_kp_s_C_dwt_failed; static PyObject *__pyx_kp_s_C_idwt_failed; static PyObject *__pyx_kp_s_C_inverse_wavelet_transform_fail; static PyObject *__pyx_kp_s_C_rec_a_failed; static PyObject *__pyx_kp_s_C_rec_d_failed; static PyObject *__pyx_kp_s_C_wavelet_transform_failed; static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; static PyObject *__pyx_kp_s_Cannot_index_with_type_s; static PyObject *__pyx_kp_s_Coefficients_arrays_must_have_th; static PyObject *__pyx_kp_s_Coefficients_arrays_must_have_th_2; static PyObject *__pyx_n_s_Ellipsis; static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; static PyObject *__pyx_kp_s_Expected_at_least_d_arguments; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; static PyObject *__pyx_kp_s_Function_call_with_ambiguous_arg; static PyObject *__pyx_n_s_ImportError; static PyObject *__pyx_n_s_IndexError; static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; static PyObject *__pyx_kp_s_Invalid_coefficient_arrays_lengt; static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; static PyObject *__pyx_kp_s_Invalid_output_length; static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; static PyObject *__pyx_n_s_MemoryError; static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; static PyObject *__pyx_kp_s_MemoryView_of_r_object; static PyObject *__pyx_kp_s_No_matching_signature_found; static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; static PyObject *__pyx_n_b_O; static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; static PyObject *__pyx_n_s_RuntimeError; static PyObject *__pyx_kp_b_T; static PyObject *__pyx_n_s_TypeError; static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; static PyObject *__pyx_n_s_ValueError; static PyObject *__pyx_kp_s_Value_of_data_len_must_be_greate; static PyObject *__pyx_kp_s_Value_of_filter_len_must_be_grea; static PyObject *__pyx_kp_s_Value_of_level_must_be_greater_t; static PyObject *__pyx_kp_s__3; static PyObject *__pyx_kp_s__5; static PyObject *__pyx_kp_b__66; static PyObject *__pyx_kp_b__67; static PyObject *__pyx_kp_b__68; static PyObject *__pyx_kp_b__69; static PyObject *__pyx_kp_u__70; static PyObject *__pyx_n_s_allocate_buffer; static PyObject *__pyx_n_s_args; static PyObject *__pyx_n_s_astype; static PyObject *__pyx_n_s_axis; static PyObject *__pyx_n_s_base; static PyObject *__pyx_n_s_c; static PyObject *__pyx_n_u_c; static PyObject *__pyx_n_s_cA; static PyObject *__pyx_n_s_cD; static PyObject *__pyx_n_s_class; static PyObject *__pyx_n_s_coeffs; static PyObject *__pyx_n_s_coefs_a; static PyObject *__pyx_n_s_coefs_d; static PyObject *__pyx_kp_s_contiguous_and_direct; static PyObject *__pyx_kp_s_contiguous_and_indirect; static PyObject *__pyx_n_s_copy; static PyObject *__pyx_n_s_data; static PyObject *__pyx_n_s_data_len; static PyObject *__pyx_n_s_dec_len; static PyObject *__pyx_n_s_defaults; static PyObject *__pyx_n_s_do_dec_a; static PyObject *__pyx_n_s_do_rec_a; static PyObject *__pyx_n_s_downcoef; static PyObject *__pyx_n_s_dtype; static PyObject *__pyx_n_s_dtype_is_object; static PyObject *__pyx_n_s_dwt_single; static PyObject *__pyx_n_s_empty; static PyObject *__pyx_n_s_encode; static PyObject *__pyx_n_s_enumerate; static PyObject *__pyx_n_s_error; static PyObject *__pyx_n_s_filter_len; static PyObject *__pyx_n_s_flags; static PyObject *__pyx_n_s_float32; static PyObject *__pyx_n_s_float32_t; static PyObject *__pyx_n_s_float64; static PyObject *__pyx_n_s_float64_t; static PyObject *__pyx_n_s_format; static PyObject *__pyx_n_s_fortran; static PyObject *__pyx_n_u_fortran; static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; static PyObject *__pyx_n_s_id; static PyObject *__pyx_n_s_import; static PyObject *__pyx_n_s_itemsize; static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; static PyObject *__pyx_n_s_join; static PyObject *__pyx_n_s_kind; static PyObject *__pyx_n_s_kwargs; static PyObject *__pyx_n_s_level; static PyObject *__pyx_n_s_main; static PyObject *__pyx_kp_s_media_Data1_src_repositories_my; static PyObject *__pyx_n_s_memview; static PyObject *__pyx_n_s_mode; static PyObject *__pyx_n_s_name; static PyObject *__pyx_n_s_name_2; static PyObject *__pyx_n_s_ndarray; static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; static PyObject *__pyx_n_s_ndim; static PyObject *__pyx_n_s_np; static PyObject *__pyx_n_s_numpy; static PyObject *__pyx_n_s_obj; static PyObject *__pyx_n_s_pack; static PyObject *__pyx_n_s_pywt__extensions__dwt; static PyObject *__pyx_n_s_pyx_fuse_0downcoef; static PyObject *__pyx_n_s_pyx_fuse_0dwt_single; static PyObject *__pyx_n_s_pyx_fuse_0upcoef; static PyObject *__pyx_n_s_pyx_fuse_1downcoef; static PyObject *__pyx_n_s_pyx_fuse_1dwt_single; static PyObject *__pyx_n_s_pyx_fuse_1upcoef; static PyObject *__pyx_n_s_pyx_getbuffer; static PyObject *__pyx_n_s_pyx_vtable; static PyObject *__pyx_n_s_range; static PyObject *__pyx_n_s_rec_len; static PyObject *__pyx_kp_u_s; static PyObject *__pyx_n_s_shape; static PyObject *__pyx_n_s_signatures; static PyObject *__pyx_n_s_size; static PyObject *__pyx_n_s_split; static PyObject *__pyx_n_s_start; static PyObject *__pyx_n_s_step; static PyObject *__pyx_n_s_stop; static PyObject *__pyx_kp_s_strided_and_direct; static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; static PyObject *__pyx_kp_s_strided_and_indirect; static PyObject *__pyx_n_s_strip; static PyObject *__pyx_n_s_struct; static PyObject *__pyx_n_s_take; static PyObject *__pyx_n_s_test; static PyObject *__pyx_kp_s_unable_to_allocate_array_data; static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; static PyObject *__pyx_n_s_unpack; static PyObject *__pyx_n_s_upcoef; static PyObject *__pyx_n_s_wavelet; static PyObject *__pyx_n_s_zeros; static PyObject *__pyx_n_s_zip; static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_dwt_max_level(CYTHON_UNUSED PyObject *__pyx_self, size_t __pyx_v_data_len, size_t __pyx_v_filter_len); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_2dwt_coeff_len(CYTHON_UNUSED PyObject *__pyx_self, size_t __pyx_v_data_len, size_t __pyx_v_filter_len, MODE __pyx_v_mode); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_4dwt_single(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_16__pyx_fuse_0dwt_single(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_data, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_18__pyx_fuse_1dwt_single(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_data, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_6dwt_axis(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_data, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode, unsigned int __pyx_v_axis); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_8idwt_single(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_cA, PyArrayObject *__pyx_v_cD, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_10idwt_axis(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_coefs_a, PyArrayObject *__pyx_v_coefs_d, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode, unsigned int __pyx_v_axis); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_12upcoef(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_22__pyx_fuse_0upcoef(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_do_rec_a, __Pyx_memviewslice __pyx_v_coeffs, struct WaveletObject *__pyx_v_wavelet, int __pyx_v_level, int __pyx_v_take); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_24__pyx_fuse_1upcoef(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_do_rec_a, __Pyx_memviewslice __pyx_v_coeffs, struct WaveletObject *__pyx_v_wavelet, int __pyx_v_level, int __pyx_v_take); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_14downcoef(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_28__pyx_fuse_0downcoef(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_do_dec_a, __Pyx_memviewslice __pyx_v_data, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode, int __pyx_v_level); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_dwt_30__pyx_fuse_1downcoef(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_do_dec_a, __Pyx_memviewslice __pyx_v_data, struct WaveletObject *__pyx_v_wavelet, MODE __pyx_v_mode, int __pyx_v_level); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_int_0; static PyObject *__pyx_int_1; static PyObject *__pyx_int_neg_1; static PyObject *__pyx_tuple_; static PyObject *__pyx_tuple__2; static PyObject *__pyx_tuple__4; static PyObject *__pyx_tuple__6; static PyObject *__pyx_tuple__7; static PyObject *__pyx_tuple__8; static PyObject *__pyx_tuple__9; static PyObject *__pyx_slice__62; static PyObject *__pyx_slice__63; static PyObject *__pyx_slice__64; static PyObject *__pyx_tuple__10; static PyObject *__pyx_tuple__11; static PyObject *__pyx_tuple__12; static PyObject *__pyx_tuple__13; static PyObject *__pyx_tuple__14; static PyObject *__pyx_tuple__15; 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__pyx_v_start = __pyx_v_shape; } __pyx_L14:; /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ } __pyx_L12:; /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ goto __pyx_L11; } /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":839 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L15; } /* "View.MemoryView":841 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ /*else*/ { __pyx_v_start = 0; } __pyx_L15:; } __pyx_L11:; /* "View.MemoryView":843 * start = 0 * * if have_stop: 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abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg */ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { Py_ssize_t __pyx_r; int __pyx_t_1; /* "View.MemoryView":1093 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg * else: */ __pyx_t_1 = ((__pyx_v_arg < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":1094 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< * else: * return arg */ __pyx_r = (-__pyx_v_arg); goto __pyx_L0; /* "View.MemoryView":1093 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg * else: */ } /* "View.MemoryView":1096 * return -arg * else: * return arg # <<<<<<<<<<<<<< * * @cname('__pyx_get_best_slice_order') */ /*else*/ { __pyx_r = __pyx_v_arg; goto __pyx_L0; } /* "View.MemoryView":1092 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1099 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1104 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1105 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1107 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1108 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1109 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1110 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * for i in range(ndim): */ goto __pyx_L4_break; /* "View.MemoryView":1108 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ } } __pyx_L4_break:; /* "View.MemoryView":1112 * break * * for i in range(ndim): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1113 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1114 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1115 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): */ goto __pyx_L7_break; /* "View.MemoryView":1113 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ } } __pyx_L7_break:; /* "View.MemoryView":1117 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1118 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< * else: * return 'F' */ __pyx_r = 'C'; goto __pyx_L0; /* "View.MemoryView":1117 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ } /* "View.MemoryView":1120 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< * * @cython.cdivision(True) */ /*else*/ { __pyx_r = 'F'; goto __pyx_L0; } /* "View.MemoryView":1099 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1123 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; /* "View.MemoryView":1130 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1131 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1132 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1133 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1135 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0); if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } /* "View.MemoryView":1137 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize * dst_extent) * else: */ __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); if (__pyx_t_2) { __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); } __pyx_t_3 = (__pyx_t_2 != 0); __pyx_t_1 = __pyx_t_3; __pyx_L5_bool_binop_done:; /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ if (__pyx_t_1) { /* "View.MemoryView":1138 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)); /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ goto __pyx_L4; } /* "View.MemoryView":1140 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize) * src_data += src_stride */ /*else*/ { __pyx_t_4 = __pyx_v_dst_extent; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1141 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); /* "View.MemoryView":1142 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * else: */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1143 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L4:; /* "View.MemoryView":1135 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ goto __pyx_L3; } /* "View.MemoryView":1145 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * _copy_strided_to_strided(src_data, src_strides + 1, * dst_data, dst_strides + 1, */ /*else*/ { __pyx_t_4 = __pyx_v_dst_extent; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1146 * else: * for i in range(dst_extent): * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< * dst_data, dst_strides + 1, * src_shape + 1, dst_shape + 1, */ _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); /* "View.MemoryView":1150 * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1151 * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L3:; /* "View.MemoryView":1123 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ /* function exit code */ } /* "View.MemoryView":1153 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: */ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { /* "View.MemoryView":1156 * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< * src.shape, dst.shape, ndim, itemsize) * */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1153 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: */ /* function exit code */ } /* "View.MemoryView":1160 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i */ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_size; Py_ssize_t __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1163 * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_size = __pyx_t_1; /* "View.MemoryView":1165 * cdef Py_ssize_t size = src.memview.view.itemsize * * for i in range(ndim): # <<<<<<<<<<<<<< * size *= src.shape[i] * */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1166 * * for i in range(ndim): * size *= src.shape[i] # <<<<<<<<<<<<<< * * return size */ __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); } /* "View.MemoryView":1168 * size *= src.shape[i] * * return size # <<<<<<<<<<<<<< * * @cname('__pyx_fill_contig_strides_array') */ __pyx_r = __pyx_v_size; goto __pyx_L0; /* "View.MemoryView":1160 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1171 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, * int ndim, char order) nogil: */ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { int __pyx_v_idx; Py_ssize_t __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1180 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< * for idx in range(ndim): * strides[idx] = stride */ __pyx_t_1 = ((__pyx_v_order == 'F') != 0); if (__pyx_t_1) { /* "View.MemoryView":1181 * * if order == 'F': * for idx in range(ndim): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_idx = __pyx_t_3; /* "View.MemoryView":1182 * if order == 'F': * for idx 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'C', ndim) * elif slice_is_contig(src, 'F', ndim): */ goto __pyx_L12; } /* "View.MemoryView":1299 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'F', ndim) * */ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1300 * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< * * if direct_copy: */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); /* "View.MemoryView":1299 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'F', ndim) * */ } __pyx_L12:; /* "View.MemoryView":1302 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { /* "View.MemoryView":1304 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1305 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) */ memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)); /* "View.MemoryView":1306 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * free(tmpdata) * return 0 */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1307 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1308 * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; goto __pyx_L0; /* "View.MemoryView":1302 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ } /* "View.MemoryView":1294 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< * * */ } /* "View.MemoryView":1310 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { __pyx_t_2 = ('F' 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__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1317 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1318 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1320 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1321 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r 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void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); } static PyMethodDef __pyx_methods_memoryview[] = { {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0}, {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0}, {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0}, {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_memoryview[] = { {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, {(char *)"itemsize", 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num_max; more_or_less = "at most"; } if (exact) { more_or_less = "exactly"; } PyErr_Format(PyExc_TypeError, "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", func_name, more_or_less, num_expected, (num_expected == 1) ? "" : "s", num_found); } /* RaiseDoubleKeywords */ static void __Pyx_RaiseDoubleKeywordsError( const char* func_name, PyObject* kw_name) { PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION >= 3 "%s() got multiple values for keyword argument '%U'", func_name, kw_name); #else "%s() got multiple values for keyword argument '%s'", func_name, PyString_AsString(kw_name)); #endif } /* ParseKeywords */ static int __Pyx_ParseOptionalKeywords( PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name) { PyObject *key = 0, *value = 0; Py_ssize_t pos = 0; PyObject*** name; PyObject*** first_kw_arg = argnames + num_pos_args; while (PyDict_Next(kwds, &pos, &key, &value)) { name = first_kw_arg; while (*name && (**name != key)) name++; if (*name) { values[name-argnames] = value; continue; } name = first_kw_arg; #if PY_MAJOR_VERSION < 3 if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { while (*name) { if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) && _PyString_Eq(**name, key)) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%.200s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%.200s() got an unexpected keyword argument '%.200s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } /* PyObjectCall */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyObject *result; ternaryfunc call = func->ob_type->tp_call; if (unlikely(!call)) return PyObject_Call(func, arg, kw); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = (*call)(func, arg, kw); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyErrFetchRestore */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; } #endif /* RaiseException */ #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { __Pyx_PyThreadState_declare Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } if (PyType_Check(type)) { #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } } __Pyx_PyThreadState_assign __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *instance_class = NULL; if (value && PyExceptionInstance_Check(value)) { instance_class = (PyObject*) Py_TYPE(value); if (instance_class != type) { int is_subclass = PyObject_IsSubclass(instance_class, type); if (!is_subclass) { instance_class = NULL; } else if (unlikely(is_subclass == -1)) { goto bad; } else { type = instance_class; } } } if (!instance_class) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyObject_Call(type, args, NULL); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { #if CYTHON_COMPILING_IN_PYPY PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); Py_INCREF(tb); PyErr_Restore(tmp_type, tmp_value, tb); Py_XDECREF(tmp_tb); #else PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } #endif } bad: Py_XDECREF(owned_instance); return; } #endif /* Import */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } /* SaveResetException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); } static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } #endif /* PyErrExceptionMatches */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) { PyObject *exc_type = tstate->curexc_type; if (exc_type == err) return 1; if (unlikely(!exc_type)) return 0; return PyErr_GivenExceptionMatches(exc_type, err); } #endif /* GetException */ #if CYTHON_COMPILING_IN_CPYTHON static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { #else static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { #endif PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (local_tb) { if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; } #endif Py_XINCREF(local_tb); Py_XINCREF(local_type); Py_XINCREF(local_value); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } /* UnicodeAsUCS4 */ static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject* x) { Py_ssize_t length; #if CYTHON_PEP393_ENABLED length = PyUnicode_GET_LENGTH(x); if (likely(length == 1)) { return PyUnicode_READ_CHAR(x, 0); } #else length = PyUnicode_GET_SIZE(x); if (likely(length == 1)) { return PyUnicode_AS_UNICODE(x)[0]; } #if Py_UNICODE_SIZE == 2 else if (PyUnicode_GET_SIZE(x) == 2) { Py_UCS4 high_val = PyUnicode_AS_UNICODE(x)[0]; if (high_val >= 0xD800 && high_val <= 0xDBFF) { Py_UCS4 low_val = PyUnicode_AS_UNICODE(x)[1]; if (low_val >= 0xDC00 && low_val <= 0xDFFF) { return 0x10000 + (((high_val & ((1<<10)-1)) << 10) | (low_val & ((1<<10)-1))); } } } #endif #endif PyErr_Format(PyExc_ValueError, "only single character unicode strings can be converted to Py_UCS4, " "got length %" CYTHON_FORMAT_SSIZE_T "d", length); return (Py_UCS4)-1; } /* object_ord */ static long __Pyx__PyObject_Ord(PyObject* c) { Py_ssize_t size; if (PyBytes_Check(c)) { size = PyBytes_GET_SIZE(c); if (likely(size == 1)) { return (unsigned char) PyBytes_AS_STRING(c)[0]; } #if PY_MAJOR_VERSION < 3 } else if (PyUnicode_Check(c)) { return (long)__Pyx_PyUnicode_AsPy_UCS4(c); #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) } else if (PyByteArray_Check(c)) { size = PyByteArray_GET_SIZE(c); if (likely(size == 1)) { return (unsigned char) PyByteArray_AS_STRING(c)[0]; } #endif } else { PyErr_Format(PyExc_TypeError, "ord() expected string of length 1, but %.200s found", c->ob_type->tp_name); return (long)(Py_UCS4)-1; } PyErr_Format(PyExc_TypeError, "ord() expected a character, but string of length %zd found", size); return (long)(Py_UCS4)-1; } /* SetItemInt */ static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { int r; if (!j) return -1; r = PyObject_SetItem(o, j, v); Py_DECREF(j); return r; } static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) { PyObject* old = PyList_GET_ITEM(o, n); Py_INCREF(v); PyList_SET_ITEM(o, n, v); Py_DECREF(old); return 1; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_ass_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return -1; PyErr_Clear(); } } return m->sq_ass_item(o, i, v); } } #else #if CYTHON_COMPILING_IN_PYPY if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) { #else if (is_list || PySequence_Check(o)) { #endif return PySequence_SetItem(o, i, v); } #endif return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); } /* IterFinish */ static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } /* PyObjectCallMethO */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { PyObject *self, *result; PyCFunction cfunc; cfunc = PyCFunction_GET_FUNCTION(func); self = PyCFunction_GET_SELF(func); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = cfunc(self, arg); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyObjectCallNoArg */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { return __Pyx_PyObject_CallMethO(func, NULL); } } return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL); } #endif /* PyObjectCallOneArg */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_New(1); if (unlikely(!args)) return NULL; Py_INCREF(arg); PyTuple_SET_ITEM(args, 0, arg); result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { return __Pyx_PyObject_CallMethO(func, arg); } } return __Pyx__PyObject_CallOneArg(func, arg); } #else static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_Pack(1, arg); if (unlikely(!args)) return NULL; result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } #endif /* PyObjectCallMethod0 */ static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { PyObject *method, *result = NULL; method = __Pyx_PyObject_GetAttrStr(obj, method_name); if (unlikely(!method)) goto bad; #if CYTHON_COMPILING_IN_CPYTHON if (likely(PyMethod_Check(method))) { PyObject *self = PyMethod_GET_SELF(method); if (likely(self)) { PyObject *function = PyMethod_GET_FUNCTION(method); result = __Pyx_PyObject_CallOneArg(function, self); Py_DECREF(method); return result; } } #endif result = __Pyx_PyObject_CallNoArg(method); Py_DECREF(method); bad: return result; } /* RaiseNeedMoreValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", index, (index == 1) ? "" : "s"); } /* RaiseTooManyValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } /* UnpackItemEndCheck */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } /* RaiseNoneIterError */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } /* UnpackTupleError */ static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) { if (t == Py_None) { __Pyx_RaiseNoneNotIterableError(); } else if (PyTuple_GET_SIZE(t) < index) { __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t)); } else { __Pyx_RaiseTooManyValuesError(index); } } /* UnpackTuple2 */ static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int is_tuple, int has_known_size, int decref_tuple) { Py_ssize_t index; PyObject *value1 = NULL, *value2 = NULL, *iter = NULL; if (!is_tuple && unlikely(!PyTuple_Check(tuple))) { iternextfunc iternext; iter = PyObject_GetIter(tuple); if (unlikely(!iter)) goto bad; if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; } iternext = Py_TYPE(iter)->tp_iternext; value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; } value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; } if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad; Py_DECREF(iter); } else { if (!has_known_size && unlikely(PyTuple_GET_SIZE(tuple) != 2)) { __Pyx_UnpackTupleError(tuple, 2); goto bad; } #if CYTHON_COMPILING_IN_PYPY value1 = PySequence_ITEM(tuple, 0); if (unlikely(!value1)) goto bad; value2 = PySequence_ITEM(tuple, 1); if (unlikely(!value2)) goto bad; #else value1 = PyTuple_GET_ITEM(tuple, 0); value2 = PyTuple_GET_ITEM(tuple, 1); Py_INCREF(value1); Py_INCREF(value2); #endif if (decref_tuple) { Py_DECREF(tuple); } } *pvalue1 = value1; *pvalue2 = value2; return 0; unpacking_failed: if (!has_known_size && __Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); bad: Py_XDECREF(iter); Py_XDECREF(value1); Py_XDECREF(value2); if (decref_tuple) { Py_XDECREF(tuple); } return -1; } /* dict_iter */ static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name, Py_ssize_t* p_orig_length, int* p_source_is_dict) { is_dict = is_dict || likely(PyDict_CheckExact(iterable)); *p_source_is_dict = is_dict; #if !CYTHON_COMPILING_IN_PYPY if (is_dict) { *p_orig_length = PyDict_Size(iterable); Py_INCREF(iterable); return iterable; } #endif *p_orig_length = 0; if (method_name) { PyObject* iter; iterable = __Pyx_PyObject_CallMethod0(iterable, method_name); if (!iterable) return NULL; #if !CYTHON_COMPILING_IN_PYPY if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable)) return iterable; #endif iter = PyObject_GetIter(iterable); Py_DECREF(iterable); return iter; } return PyObject_GetIter(iterable); } static CYTHON_INLINE int __Pyx_dict_iter_next( PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos, PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) { PyObject* next_item; #if !CYTHON_COMPILING_IN_PYPY if (source_is_dict) { PyObject *key, *value; if (unlikely(orig_length != PyDict_Size(iter_obj))) { PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); return -1; } if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) { return 0; } if (pitem) { PyObject* tuple = PyTuple_New(2); if (unlikely(!tuple)) { return -1; } Py_INCREF(key); Py_INCREF(value); PyTuple_SET_ITEM(tuple, 0, key); PyTuple_SET_ITEM(tuple, 1, value); *pitem = tuple; } else { if (pkey) { Py_INCREF(key); *pkey = key; } if (pvalue) { Py_INCREF(value); *pvalue = value; } } return 1; } else if (PyTuple_CheckExact(iter_obj)) { Py_ssize_t pos = *ppos; if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0; *ppos = pos + 1; next_item = PyTuple_GET_ITEM(iter_obj, pos); Py_INCREF(next_item); } else if (PyList_CheckExact(iter_obj)) { Py_ssize_t pos = *ppos; if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0; *ppos = pos + 1; next_item = PyList_GET_ITEM(iter_obj, pos); Py_INCREF(next_item); } else #endif { next_item = PyIter_Next(iter_obj); if (unlikely(!next_item)) { return __Pyx_IterFinish(); } } if (pitem) { *pitem = next_item; } else if (pkey && pvalue) { if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1)) return -1; } else if (pkey) { *pkey = next_item; } else { *pvalue = next_item; } return 1; } /* GetModuleGlobalName */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (likely(result)) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } /* ExtTypeTest */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } /* ArgTypeTest */ static void __Pyx_RaiseArgumentTypeInvalid(const char* name, PyObject *obj, PyTypeObject *type) { PyErr_Format(PyExc_TypeError, "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", name, type->tp_name, Py_TYPE(obj)->tp_name); } static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (likely(Py_TYPE(obj) == type)) return 1; #if PY_MAJOR_VERSION == 2 else if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; #endif } else { if (likely(PyObject_TypeCheck(obj, type))) return 1; } __Pyx_RaiseArgumentTypeInvalid(name, obj, type); return 0; } /* None */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } /* BufferFormatCheck */ static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { switch (*ts) { case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; default: break; } number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case '\r': case '\n': ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; ctx->new_count = 1; got_Z = 0; ++ts; break; } case 's': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } /* MemviewSliceInit */ static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } /* BytesEquals */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { const char *ps1, *ps2; Py_ssize_t length = PyBytes_GET_SIZE(s1); if (length != PyBytes_GET_SIZE(s2)) return (equals == Py_NE); ps1 = PyBytes_AS_STRING(s1); ps2 = PyBytes_AS_STRING(s2); if (ps1[0] != ps2[0]) { return (equals == Py_NE); } else if (length == 1) { return (equals == Py_EQ); } else { int result = memcmp(ps1, ps2, (size_t)length); return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } /* UnicodeEquals */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else #if PY_MAJOR_VERSION < 3 PyObject* owned_ref = NULL; #endif int s1_is_unicode, s2_is_unicode; if (s1 == s2) { goto return_eq; } s1_is_unicode = PyUnicode_CheckExact(s1); s2_is_unicode = PyUnicode_CheckExact(s2); #if PY_MAJOR_VERSION < 3 if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { owned_ref = PyUnicode_FromObject(s2); if (unlikely(!owned_ref)) return -1; s2 = owned_ref; s2_is_unicode = 1; } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { owned_ref = PyUnicode_FromObject(s1); if (unlikely(!owned_ref)) return -1; s1 = owned_ref; s1_is_unicode = 1; } else if (((!s2_is_unicode) & (!s1_is_unicode))) { return __Pyx_PyBytes_Equals(s1, s2, equals); } #endif if (s1_is_unicode & s2_is_unicode) { Py_ssize_t length; int kind; void *data1, *data2; if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) return -1; length = __Pyx_PyUnicode_GET_LENGTH(s1); if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { goto return_ne; } kind = __Pyx_PyUnicode_KIND(s1); if (kind != __Pyx_PyUnicode_KIND(s2)) { goto return_ne; } data1 = __Pyx_PyUnicode_DATA(s1); data2 = __Pyx_PyUnicode_DATA(s2); if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { goto return_ne; } else if (length == 1) { goto return_eq; } else { int result = memcmp(data1, data2, (size_t)(length * kind)); #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & s2_is_unicode) { goto return_ne; } else if ((s2 == Py_None) & s1_is_unicode) { goto return_ne; } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } return_eq: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ); return_ne: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_NE); #endif } /* None */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* GetAttr */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } /* decode_c_string */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { size_t slen = strlen(cstring); if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { PyErr_SetString(PyExc_OverflowError, "c-string too long to convert to Python"); return NULL; } length = (Py_ssize_t) slen; if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } /* SwapException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = *type; tstate->exc_value = *value; tstate->exc_traceback = *tb; *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); PyErr_SetExcInfo(*type, *value, *tb); *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #endif /* GetItemInt */ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return NULL; PyErr_Clear(); } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } /* PyIntBinop */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { const long b = intval; long x; long a = PyInt_AS_LONG(op1); x = (long)((unsigned long)a + b); if (likely((x^a) >= 0 || (x^b) >= 0)) return PyInt_FromLong(x); return PyLong_Type.tp_as_number->nb_add(op1, op2); } #endif #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3 if (likely(PyLong_CheckExact(op1))) { const long b = intval; long a, x; const PY_LONG_LONG llb = intval; PY_LONG_LONG lla, llx; const digit* digits = ((PyLongObject*)op1)->ob_digit; const Py_ssize_t size = Py_SIZE(op1); if (likely(__Pyx_sst_abs(size) <= 1)) { a = likely(size) ? digits[0] : 0; if (size == -1) a = -a; } else { switch (size) { case -2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } default: return PyLong_Type.tp_as_number->nb_add(op1, op2); } } x = a + b; return PyLong_FromLong(x); long_long: llx = lla + llb; return PyLong_FromLongLong(llx); } #endif if (PyFloat_CheckExact(op1)) { const long b = intval; double a = PyFloat_AS_DOUBLE(op1); double result; PyFPE_START_PROTECT("add", return NULL) result = ((double)a) + (double)b; PyFPE_END_PROTECT(result) return PyFloat_FromDouble(result); } return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); } #endif /* None */ static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* WriteUnraisableException */ static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, int full_traceback, CYTHON_UNUSED int nogil) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_PyThreadState_declare #ifdef WITH_THREAD PyGILState_STATE state; if (nogil) state = PyGILState_Ensure(); #ifdef _MSC_VER else state = (PyGILState_STATE)-1; #endif #endif __Pyx_PyThreadState_assign __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); if (full_traceback) { Py_XINCREF(old_exc); Py_XINCREF(old_val); Py_XINCREF(old_tb); __Pyx_ErrRestore(old_exc, old_val, old_tb); PyErr_PrintEx(1); } #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } #ifdef WITH_THREAD if (nogil) PyGILState_Release(state); #endif } /* StringJoin */ #if !CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values) { return PyObject_CallMethodObjArgs(sep, __pyx_n_s_join, values, NULL); } #endif /* SetVTable */ static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } /* FetchCommonType */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { PyObject* fake_module; PyTypeObject* cached_type = NULL; fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); if (!fake_module) return NULL; Py_INCREF(fake_module); cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); if (cached_type) { if (!PyType_Check((PyObject*)cached_type)) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s is not a type object", type->tp_name); goto bad; } if (cached_type->tp_basicsize != type->tp_basicsize) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s has the wrong size, try recompiling", type->tp_name); goto bad; } } else { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); if (PyType_Ready(type) < 0) goto bad; if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) goto bad; Py_INCREF(type); cached_type = type; } done: Py_DECREF(fake_module); return cached_type; bad: Py_XDECREF(cached_type); cached_type = NULL; goto done; } /* CythonFunction */ static PyObject * __Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) { if (unlikely(op->func_doc == NULL)) { if (op->func.m_ml->ml_doc) { #if PY_MAJOR_VERSION >= 3 op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); #else op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); #endif if (unlikely(op->func_doc == NULL)) return NULL; } else { Py_INCREF(Py_None); return Py_None; } } Py_INCREF(op->func_doc); return op->func_doc; } static int __Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp = op->func_doc; if (value == NULL) { value = Py_None; } Py_INCREF(value); op->func_doc = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op) { if (unlikely(op->func_name == NULL)) { #if PY_MAJOR_VERSION >= 3 op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); #else op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); #endif if (unlikely(op->func_name == NULL)) return NULL; } Py_INCREF(op->func_name); return op->func_name; } static int __Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__name__ must be set to a string object"); return -1; } tmp = op->func_name; Py_INCREF(value); op->func_name = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_qualname); return op->func_qualname; } static int __Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__qualname__ must be set to a string object"); return -1; } tmp = op->func_qualname; Py_INCREF(value); op->func_qualname = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) { PyObject *self; self = m->func_closure; if (self == NULL) self = Py_None; Py_INCREF(self); return self; } static PyObject * __Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op) { if (unlikely(op->func_dict == NULL)) { op->func_dict = PyDict_New(); if (unlikely(op->func_dict == NULL)) return NULL; } Py_INCREF(op->func_dict); return op->func_dict; } static int __Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; if (unlikely(value == NULL)) { PyErr_SetString(PyExc_TypeError, "function's dictionary may not be deleted"); return -1; } if (unlikely(!PyDict_Check(value))) { PyErr_SetString(PyExc_TypeError, "setting function's dictionary to a non-dict"); return -1; } tmp = op->func_dict; Py_INCREF(value); op->func_dict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_globals); return op->func_globals; } static PyObject * __Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op) { Py_INCREF(Py_None); return Py_None; } static PyObject * __Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op) { PyObject* result = (op->func_code) ? op->func_code : Py_None; Py_INCREF(result); return result; } static int __Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { int result = 0; PyObject *res = op->defaults_getter((PyObject *) op); if (unlikely(!res)) return -1; #if CYTHON_COMPILING_IN_CPYTHON op->defaults_tuple = PyTuple_GET_ITEM(res, 0); Py_INCREF(op->defaults_tuple); op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); Py_INCREF(op->defaults_kwdict); #else op->defaults_tuple = PySequence_ITEM(res, 0); if (unlikely(!op->defaults_tuple)) result = -1; else { op->defaults_kwdict = PySequence_ITEM(res, 1); if (unlikely(!op->defaults_kwdict)) result = -1; } #endif Py_DECREF(res); return result; } static int __Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyTuple_Check(value)) { PyErr_SetString(PyExc_TypeError, "__defaults__ must be set to a tuple object"); return -1; } Py_INCREF(value); tmp = op->defaults_tuple; op->defaults_tuple = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_tuple; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_tuple; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__kwdefaults__ must be set to a dict object"); return -1; } Py_INCREF(value); tmp = op->defaults_kwdict; op->defaults_kwdict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_kwdict; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_kwdict; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value || value == Py_None) { value = NULL; } else if (!PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__annotations__ must be set to a dict object"); return -1; } Py_XINCREF(value); tmp = op->func_annotations; op->func_annotations = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op) { PyObject* result = op->func_annotations; if (unlikely(!result)) { result = PyDict_New(); if (unlikely(!result)) return NULL; op->func_annotations = result; } Py_INCREF(result); return result; } static PyGetSetDef __pyx_CyFunction_getsets[] = { {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, {0, 0, 0, 0, 0} }; static PyMemberDef __pyx_CyFunction_members[] = { {(char *) "__module__", T_OBJECT, offsetof(__pyx_CyFunctionObject, func.m_module), PY_WRITE_RESTRICTED, 0}, {0, 0, 0, 0, 0} }; static PyObject * __Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromString(m->func.m_ml->ml_name); #else return PyString_FromString(m->func.m_ml->ml_name); #endif } static PyMethodDef __pyx_CyFunction_methods[] = { {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, {0, 0, 0, 0} }; #if PY_VERSION_HEX < 0x030500A0 #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) #else #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) #endif static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type); if (op == NULL) return NULL; op->flags = flags; __Pyx_CyFunction_weakreflist(op) = NULL; op->func.m_ml = ml; op->func.m_self = (PyObject *) op; Py_XINCREF(closure); op->func_closure = closure; Py_XINCREF(module); op->func.m_module = module; op->func_dict = NULL; op->func_name = NULL; Py_INCREF(qualname); op->func_qualname = qualname; op->func_doc = NULL; op->func_classobj = NULL; op->func_globals = globals; Py_INCREF(op->func_globals); Py_XINCREF(code); op->func_code = code; op->defaults_pyobjects = 0; op->defaults = NULL; op->defaults_tuple = NULL; op->defaults_kwdict = NULL; op->defaults_getter = NULL; op->func_annotations = NULL; PyObject_GC_Track(op); return (PyObject *) op; } static int __Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) { Py_CLEAR(m->func_closure); Py_CLEAR(m->func.m_module); Py_CLEAR(m->func_dict); Py_CLEAR(m->func_name); Py_CLEAR(m->func_qualname); Py_CLEAR(m->func_doc); Py_CLEAR(m->func_globals); Py_CLEAR(m->func_code); Py_CLEAR(m->func_classobj); Py_CLEAR(m->defaults_tuple); Py_CLEAR(m->defaults_kwdict); Py_CLEAR(m->func_annotations); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_XDECREF(pydefaults[i]); PyObject_Free(m->defaults); m->defaults = NULL; } return 0; } static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) { PyObject_GC_UnTrack(m); if (__Pyx_CyFunction_weakreflist(m) != NULL) PyObject_ClearWeakRefs((PyObject *) m); __Pyx_CyFunction_clear(m); PyObject_GC_Del(m); } static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) { Py_VISIT(m->func_closure); Py_VISIT(m->func.m_module); Py_VISIT(m->func_dict); Py_VISIT(m->func_name); Py_VISIT(m->func_qualname); Py_VISIT(m->func_doc); Py_VISIT(m->func_globals); Py_VISIT(m->func_code); Py_VISIT(m->func_classobj); Py_VISIT(m->defaults_tuple); Py_VISIT(m->defaults_kwdict); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_VISIT(pydefaults[i]); } return 0; } static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(func); return func; } if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { if (type == NULL) type = (PyObject *)(Py_TYPE(obj)); return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); } if (obj == Py_None) obj = NULL; return __Pyx_PyMethod_New(func, obj, type); } static PyObject* __Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromFormat("", op->func_qualname, (void *)op); #else return PyString_FromFormat("", PyString_AsString(op->func_qualname), (void *)op); #endif } #if CYTHON_COMPILING_IN_PYPY static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyCFunctionObject* f = (PyCFunctionObject*)func; PyCFunction meth = f->m_ml->ml_meth; PyObject *self = f->m_self; Py_ssize_t size; switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { case METH_VARARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) return (*meth)(self, arg); break; case METH_VARARGS | METH_KEYWORDS: return (*(PyCFunctionWithKeywords)meth)(self, arg, kw); case METH_NOARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 0)) return (*meth)(self, NULL); PyErr_Format(PyExc_TypeError, "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; case METH_O: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 1)) { PyObject *result, *arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; result = (*meth)(self, arg0); Py_DECREF(arg0); return result; } PyErr_Format(PyExc_TypeError, "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; default: PyErr_SetString(PyExc_SystemError, "Bad call flags in " "__Pyx_CyFunction_Call. METH_OLDARGS is no " "longer supported!"); return NULL; } PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", f->m_ml->ml_name); return NULL; } #else static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { return PyCFunction_Call(func, arg, kw); } #endif static PyTypeObject __pyx_CyFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "cython_function_or_method", sizeof(__pyx_CyFunctionObject), 0, (destructor) __Pyx_CyFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif (reprfunc) __Pyx_CyFunction_repr, 0, 0, 0, 0, __Pyx_CyFunction_Call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, 0, (traverseproc) __Pyx_CyFunction_traverse, (inquiry) __Pyx_CyFunction_clear, 0, #if PY_VERSION_HEX < 0x030500A0 offsetof(__pyx_CyFunctionObject, func_weakreflist), #else offsetof(PyCFunctionObject, m_weakreflist), #endif 0, 0, __pyx_CyFunction_methods, __pyx_CyFunction_members, __pyx_CyFunction_getsets, 0, 0, __Pyx_CyFunction_descr_get, 0, offsetof(__pyx_CyFunctionObject, func_dict), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_CyFunction_init(void) { #if !CYTHON_COMPILING_IN_PYPY __pyx_CyFunctionType_type.tp_call = PyCFunction_Call; #endif __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); if (__pyx_CyFunctionType == NULL) { return -1; } return 0; } static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults = PyObject_Malloc(size); if (!m->defaults) return PyErr_NoMemory(); memset(m->defaults, 0, size); m->defaults_pyobjects = pyobjects; return m->defaults; } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_tuple = tuple; Py_INCREF(tuple); } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_kwdict = dict; Py_INCREF(dict); } static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->func_annotations = dict; Py_INCREF(dict); } /* FusedFunction */ static PyObject * __pyx_FusedFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject *qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject *code) { __pyx_FusedFunctionObject *fusedfunc = (__pyx_FusedFunctionObject *) __Pyx_CyFunction_New(type, ml, flags, qualname, self, module, globals, code); if (!fusedfunc) return NULL; fusedfunc->__signatures__ = NULL; fusedfunc->type = NULL; fusedfunc->self = NULL; return (PyObject *) fusedfunc; } static void __pyx_FusedFunction_dealloc(__pyx_FusedFunctionObject *self) { __pyx_FusedFunction_clear(self); __pyx_FusedFunctionType->tp_free((PyObject *) self); } static int __pyx_FusedFunction_traverse(__pyx_FusedFunctionObject *self, visitproc visit, void *arg) { Py_VISIT(self->self); Py_VISIT(self->type); Py_VISIT(self->__signatures__); return __Pyx_CyFunction_traverse((__pyx_CyFunctionObject *) self, visit, arg); } static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self) { Py_CLEAR(self->self); Py_CLEAR(self->type); Py_CLEAR(self->__signatures__); return __Pyx_CyFunction_clear((__pyx_CyFunctionObject *) self); } static PyObject * __pyx_FusedFunction_descr_get(PyObject *self, PyObject *obj, PyObject *type) { __pyx_FusedFunctionObject *func, *meth; func = (__pyx_FusedFunctionObject *) self; if (func->self || func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(self); return self; } if (obj == Py_None) obj = NULL; meth = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_NewEx( ((PyCFunctionObject *) func)->m_ml, ((__pyx_CyFunctionObject *) func)->flags, ((__pyx_CyFunctionObject *) func)->func_qualname, ((__pyx_CyFunctionObject *) func)->func_closure, ((PyCFunctionObject *) func)->m_module, ((__pyx_CyFunctionObject *) func)->func_globals, ((__pyx_CyFunctionObject *) func)->func_code); if (!meth) return NULL; Py_XINCREF(func->func.func_classobj); meth->func.func_classobj = func->func.func_classobj; Py_XINCREF(func->__signatures__); meth->__signatures__ = func->__signatures__; Py_XINCREF(type); meth->type = type; Py_XINCREF(func->func.defaults_tuple); meth->func.defaults_tuple = func->func.defaults_tuple; if (func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD) obj = type; Py_XINCREF(obj); meth->self = obj; return (PyObject *) meth; } static PyObject * _obj_to_str(PyObject *obj) { if (PyType_Check(obj)) return PyObject_GetAttr(obj, __pyx_n_s_name_2); else return PyObject_Str(obj); } static PyObject * __pyx_FusedFunction_getitem(__pyx_FusedFunctionObject *self, PyObject *idx) { PyObject *signature = NULL; PyObject *unbound_result_func; PyObject *result_func = NULL; if (self->__signatures__ == NULL) { PyErr_SetString(PyExc_TypeError, "Function is not fused"); return NULL; } if (PyTuple_Check(idx)) { PyObject *list = PyList_New(0); Py_ssize_t n = PyTuple_GET_SIZE(idx); PyObject *string = NULL; PyObject *sep = NULL; int i; if (!list) return NULL; for (i = 0; i < n; i++) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *item = PyTuple_GET_ITEM(idx, i); #else PyObject *item = PySequence_ITEM(idx, i); #endif string = _obj_to_str(item); #if !CYTHON_COMPILING_IN_CPYTHON Py_DECREF(item); #endif if (!string || PyList_Append(list, string) < 0) goto __pyx_err; Py_DECREF(string); } sep = PyUnicode_FromString("|"); if (sep) signature = PyUnicode_Join(sep, list); __pyx_err: ; Py_DECREF(list); Py_XDECREF(sep); } else { signature = _obj_to_str(idx); } if (!signature) return NULL; unbound_result_func = PyObject_GetItem(self->__signatures__, signature); if (unbound_result_func) { if (self->self || self->type) { __pyx_FusedFunctionObject *unbound = (__pyx_FusedFunctionObject *) unbound_result_func; Py_CLEAR(unbound->func.func_classobj); Py_XINCREF(self->func.func_classobj); unbound->func.func_classobj = self->func.func_classobj; result_func = __pyx_FusedFunction_descr_get(unbound_result_func, self->self, self->type); } else { result_func = unbound_result_func; Py_INCREF(result_func); } } Py_DECREF(signature); Py_XDECREF(unbound_result_func); return result_func; } static PyObject * __pyx_FusedFunction_callfunction(PyObject *func, PyObject *args, PyObject *kw) { __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; PyObject *result; int static_specialized = (cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD && !((__pyx_FusedFunctionObject *) func)->__signatures__); if (cyfunc->flags & __Pyx_CYFUNCTION_CCLASS && !static_specialized) { Py_ssize_t argc; PyObject *new_args; PyObject *self; PyObject *m_self; argc = PyTuple_GET_SIZE(args); new_args = PyTuple_GetSlice(args, 1, argc); if (!new_args) return NULL; self = PyTuple_GetItem(args, 0); if (!self) return NULL; m_self = cyfunc->func.m_self; cyfunc->func.m_self = self; result = __Pyx_CyFunction_Call(func, new_args, kw); cyfunc->func.m_self = m_self; Py_DECREF(new_args); } else { result = __Pyx_CyFunction_Call(func, args, kw); } return result; } static PyObject * __pyx_FusedFunction_call(PyObject *func, PyObject *args, PyObject *kw) { __pyx_FusedFunctionObject *binding_func = (__pyx_FusedFunctionObject *) func; Py_ssize_t argc = PyTuple_GET_SIZE(args); PyObject *new_args = NULL; __pyx_FusedFunctionObject *new_func = NULL; PyObject *result = NULL; PyObject *self = NULL; int is_staticmethod = binding_func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD; int is_classmethod = binding_func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD; if (binding_func->self) { Py_ssize_t i; new_args = PyTuple_New(argc + 1); if (!new_args) return NULL; self = binding_func->self; #if !CYTHON_COMPILING_IN_CPYTHON Py_INCREF(self); #endif Py_INCREF(self); PyTuple_SET_ITEM(new_args, 0, self); for (i = 0; i < argc; i++) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *item = PyTuple_GET_ITEM(args, i); Py_INCREF(item); #else PyObject *item = PySequence_ITEM(args, i); if (unlikely(!item)) goto bad; #endif PyTuple_SET_ITEM(new_args, i + 1, item); } args = new_args; } else if (binding_func->type) { if (argc < 1) { PyErr_SetString(PyExc_TypeError, "Need at least one argument, 0 given."); return NULL; } #if CYTHON_COMPILING_IN_CPYTHON self = PyTuple_GET_ITEM(args, 0); #else self = PySequence_ITEM(args, 0); if (unlikely(!self)) return NULL; #endif } if (self && !is_classmethod && !is_staticmethod) { int is_instance = PyObject_IsInstance(self, binding_func->type); if (unlikely(!is_instance)) { PyErr_Format(PyExc_TypeError, "First argument should be of type %.200s, got %.200s.", ((PyTypeObject *) binding_func->type)->tp_name, self->ob_type->tp_name); goto bad; } else if (unlikely(is_instance == -1)) { goto bad; } } #if !CYTHON_COMPILING_IN_CPYTHON Py_XDECREF(self); self = NULL; #endif if (binding_func->__signatures__) { PyObject *tup = PyTuple_Pack(4, binding_func->__signatures__, args, kw == NULL ? Py_None : kw, binding_func->func.defaults_tuple); if (!tup) goto bad; new_func = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_callfunction(func, tup, NULL); Py_DECREF(tup); if (!new_func) goto bad; Py_XINCREF(binding_func->func.func_classobj); Py_CLEAR(new_func->func.func_classobj); new_func->func.func_classobj = binding_func->func.func_classobj; func = (PyObject *) new_func; } result = __pyx_FusedFunction_callfunction(func, args, kw); bad: #if !CYTHON_COMPILING_IN_CPYTHON Py_XDECREF(self); #endif Py_XDECREF(new_args); Py_XDECREF((PyObject *) new_func); return result; } static PyMemberDef __pyx_FusedFunction_members[] = { {(char *) "__signatures__", T_OBJECT, offsetof(__pyx_FusedFunctionObject, __signatures__), READONLY, 0}, {0, 0, 0, 0, 0}, }; static PyMappingMethods __pyx_FusedFunction_mapping_methods = { 0, (binaryfunc) __pyx_FusedFunction_getitem, 0, }; static PyTypeObject __pyx_FusedFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "fused_cython_function", sizeof(__pyx_FusedFunctionObject), 0, (destructor) __pyx_FusedFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif 0, 0, 0, &__pyx_FusedFunction_mapping_methods, 0, (ternaryfunc) __pyx_FusedFunction_call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, 0, (traverseproc) __pyx_FusedFunction_traverse, (inquiry) __pyx_FusedFunction_clear, 0, 0, 0, 0, 0, __pyx_FusedFunction_members, __pyx_CyFunction_getsets, &__pyx_CyFunctionType_type, 0, __pyx_FusedFunction_descr_get, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_FusedFunction_init(void) { __pyx_FusedFunctionType = __Pyx_FetchCommonType(&__pyx_FusedFunctionType_type); if (__pyx_FusedFunctionType == NULL) { return -1; } return 0; } /* CodeObjectCache */ static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = start + (end - start) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } /* AddTraceback */ #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, 0, 0, 0, 0, __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ __pyx_d, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } Py_DECREF(obj); view->obj = NULL; } #endif /* MemviewSliceIsContig */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs.memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) return 0; itemsize *= mvs.shape[index]; } return 1; } /* OverlappingSlices */ static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } /* Capsule */ static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } /* TypeInfoCompare */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } /* MemviewSliceValidateAndInit */ static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessible " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* CIntFromPyVerify */ #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) #define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ {\ func_type value = func_value;\ if (sizeof(target_type) < sizeof(func_type)) {\ if (unlikely(value != (func_type) (target_type) value)) {\ func_type zero = 0;\ if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ return (target_type) -1;\ if (is_unsigned && unlikely(value < zero))\ goto raise_neg_overflow;\ else\ goto raise_overflow;\ }\ }\ return (target_type) value;\ } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_char(unsigned char value) { const unsigned char neg_one = (unsigned char) -1, const_zero = (unsigned char) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(unsigned char) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(unsigned char) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(unsigned char) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(unsigned char) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(unsigned char) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(unsigned char), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(long) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(long) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(long), little, !is_unsigned); } } /* BytesContains */ static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character) { const Py_ssize_t length = PyBytes_GET_SIZE(bytes); char* char_start = PyBytes_AS_STRING(bytes); char* pos; for (pos=char_start; pos < char_start+length; pos++) { if (character == pos[0]) return 1; } return 0; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float32_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float32_t value = __pyx_PyFloat_AsFloat(obj); if ((value == (npy_float32)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float32_t *) itemp = value; return 1; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float64_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float64_t value = __pyx_PyFloat_AsDouble(obj); if ((value == (npy_float64)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float64_t *) itemp = value; return 1; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_size_t(const char *itemp) { return (PyObject *) __Pyx_PyInt_FromSize_t(*(size_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_size_t(const char *itemp, PyObject *obj) { size_t value = __Pyx_PyInt_As_size_t(obj); if ((value == (size_t)-1) && PyErr_Occurred()) return 0; *(size_t *) itemp = value; return 1; } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(int) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(int) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(int), little, !is_unsigned); } } /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(enum NPY_TYPES) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(enum NPY_TYPES) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), little, !is_unsigned); } } /* MemviewSliceCopyTemplate */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } /* CIntFromPy */ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *x) { const size_t neg_one = (size_t) -1, const_zero = (size_t) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(size_t) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(size_t, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (size_t) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (size_t) 0; case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, digits[0]) case 2: if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 2 * PyLong_SHIFT) { return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 3: if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 3 * PyLong_SHIFT) { return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 4: if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 4 * PyLong_SHIFT) { return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (size_t) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(size_t) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(size_t) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (size_t) 0; case -1: __PYX_VERIFY_RETURN_INT(size_t, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, +digits[0]) case -2: if (8 * sizeof(size_t) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 2: if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { return (size_t) ((((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -3: if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 3: if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { return (size_t) ((((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -4: if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 4: if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { return (size_t) ((((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; } #endif if (sizeof(size_t) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, long, PyLong_AsLong(x)) } else if (sizeof(size_t) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else size_t val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (size_t) -1; } } else { size_t val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (size_t) -1; val = __Pyx_PyInt_As_size_t(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to size_t"); return (size_t) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to size_t"); return (size_t) -1; } /* CIntFromPy */ static CYTHON_INLINE MODE __Pyx_PyInt_As_MODE(PyObject *x) { const MODE neg_one = (MODE) -1, const_zero = (MODE) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(MODE) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(MODE, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (MODE) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (MODE) 0; case 1: __PYX_VERIFY_RETURN_INT(MODE, digit, digits[0]) case 2: if (8 * sizeof(MODE) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) >= 2 * PyLong_SHIFT) { return (MODE) (((((MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0])); } } break; case 3: if (8 * sizeof(MODE) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) >= 3 * PyLong_SHIFT) { return (MODE) (((((((MODE)digits[2]) << PyLong_SHIFT) | (MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0])); } } break; case 4: if (8 * sizeof(MODE) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) >= 4 * PyLong_SHIFT) { return (MODE) (((((((((MODE)digits[3]) << PyLong_SHIFT) | (MODE)digits[2]) << PyLong_SHIFT) | (MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (MODE) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(MODE) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(MODE, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(MODE) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(MODE, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (MODE) 0; case -1: __PYX_VERIFY_RETURN_INT(MODE, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(MODE, digit, +digits[0]) case -2: if (8 * sizeof(MODE) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) - 1 > 2 * PyLong_SHIFT) { return (MODE) (((MODE)-1)*(((((MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0]))); } } break; case 2: if (8 * sizeof(MODE) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) - 1 > 2 * PyLong_SHIFT) { return (MODE) ((((((MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0]))); } } break; case -3: if (8 * sizeof(MODE) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) - 1 > 3 * PyLong_SHIFT) { return (MODE) (((MODE)-1)*(((((((MODE)digits[2]) << PyLong_SHIFT) | (MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0]))); } } break; case 3: if (8 * sizeof(MODE) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) - 1 > 3 * PyLong_SHIFT) { return (MODE) ((((((((MODE)digits[2]) << PyLong_SHIFT) | (MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0]))); } } break; case -4: if (8 * sizeof(MODE) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) - 1 > 4 * PyLong_SHIFT) { return (MODE) (((MODE)-1)*(((((((((MODE)digits[3]) << PyLong_SHIFT) | (MODE)digits[2]) << PyLong_SHIFT) | (MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0]))); } } break; case 4: if (8 * sizeof(MODE) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(MODE, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(MODE) - 1 > 4 * PyLong_SHIFT) { return (MODE) ((((((((((MODE)digits[3]) << PyLong_SHIFT) | (MODE)digits[2]) << PyLong_SHIFT) | (MODE)digits[1]) << PyLong_SHIFT) | (MODE)digits[0]))); } } break; } #endif if (sizeof(MODE) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(MODE, long, PyLong_AsLong(x)) } else if (sizeof(MODE) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(MODE, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else MODE val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (MODE) -1; } } else { MODE val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (MODE) -1; val = __Pyx_PyInt_As_MODE(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to MODE"); return (MODE) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to MODE"); return (MODE) -1; } /* TypeInfoToFormat */ static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type) { struct __pyx_typeinfo_string result = { {0} }; char *buf = (char *) result.string; size_t size = type->size; switch (type->typegroup) { case 'H': *buf = 'c'; break; case 'I': case 'U': if (size == 1) *buf = (type->is_unsigned) ? 'B' : 'b'; else if (size == 2) *buf = (type->is_unsigned) ? 'H' : 'h'; else if (size == 4) *buf = (type->is_unsigned) ? 'I' : 'i'; else if (size == 8) *buf = (type->is_unsigned) ? 'Q' : 'q'; break; case 'P': *buf = 'P'; break; case 'C': { __Pyx_TypeInfo complex_type = *type; complex_type.typegroup = 'R'; complex_type.size /= 2; *buf++ = 'Z'; *buf = __Pyx_TypeInfoToFormat(&complex_type).string[0]; break; } case 'R': if (size == 4) *buf = 'f'; else if (size == 8) *buf = 'd'; else *buf = 'g'; break; } return result; } /* CIntFromPy */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { const unsigned int neg_one = (unsigned int) -1, const_zero = (unsigned int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(unsigned int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(unsigned int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (unsigned int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (unsigned int) 0; case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, digits[0]) case 2: if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 2 * PyLong_SHIFT) { return (unsigned int) (((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; case 3: if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 3 * PyLong_SHIFT) { return (unsigned int) (((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; case 4: if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 4 * PyLong_SHIFT) { return (unsigned int) (((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (unsigned int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(unsigned int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(unsigned int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (unsigned int) 0; case -1: __PYX_VERIFY_RETURN_INT(unsigned int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, +digits[0]) case -2: if (8 * sizeof(unsigned int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 2: if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { return (unsigned int) ((((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case -3: if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 3: if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { return (unsigned int) ((((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case -4: if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 4: if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { return (unsigned int) ((((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; } #endif if (sizeof(unsigned int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, long, PyLong_AsLong(x)) } else if (sizeof(unsigned int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else unsigned int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (unsigned int) -1; } } else { unsigned int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (unsigned int) -1; val = __Pyx_PyInt_As_unsigned_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to unsigned int"); return (unsigned int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned int"); return (unsigned int) -1; } /* CIntFromPy */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) case -2: if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -3: if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -4: if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; } #endif if (sizeof(int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (int) -1; } } else { int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (int) -1; val = __Pyx_PyInt_As_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to int"); return (int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to int"); return (int) -1; } /* CIntFromPy */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { const char neg_one = (char) -1, const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(char) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (char) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (char) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(char) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) case -2: if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -3: if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -4: if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; } #endif if (sizeof(char) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else char val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (char) -1; } } else { char val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (char) -1; val = __Pyx_PyInt_As_char(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to char"); return (char) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to char"); return (char) -1; } /* CIntFromPy */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(long) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (long) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (long) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(long) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) case -2: if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -3: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -4: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; } #endif if (sizeof(long) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else long val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (long) -1; } } else { long val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (long) -1; val = __Pyx_PyInt_As_long(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to long"); return (long) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long) -1; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_size_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_size_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* CheckBinaryVersion */ static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); return PyErr_WarnEx(NULL, message, 1); } return 0; } /* FunctionExport */ static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(__pyx_m, (char *)"__pyx_capi__"); if (!d) { PyErr_Clear(); d = PyDict_New(); if (!d) goto bad; Py_INCREF(d); if (PyModule_AddObject(__pyx_m, (char *)"__pyx_capi__", d) < 0) goto bad; } tmp.fp = f; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(tmp.p, sig, 0); #else cobj = PyCObject_FromVoidPtrAndDesc(tmp.p, (void *)sig, 0); #endif if (!cobj) goto bad; if (PyDict_SetItemString(d, name, cobj) < 0) goto bad; Py_DECREF(cobj); Py_DECREF(d); return 0; bad: Py_XDECREF(cobj); Py_XDECREF(d); return -1; } /* ModuleImport */ #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif /* TypeImport */ #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%.200s.%.200s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd", module_name, class_name, basicsize, size); if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd", module_name, class_name, basicsize, size); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif /* FunctionImport */ #ifndef __PYX_HAVE_RT_ImportFunction #define __PYX_HAVE_RT_ImportFunction static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(module, (char *)"__pyx_capi__"); if (!d) goto bad; cobj = PyDict_GetItemString(d, funcname); if (!cobj) { PyErr_Format(PyExc_ImportError, "%.200s does not export expected C function %.200s", PyModule_GetName(module), funcname); goto bad; } #if PY_VERSION_HEX >= 0x02070000 if (!PyCapsule_IsValid(cobj, sig)) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj)); goto bad; } tmp.p = PyCapsule_GetPointer(cobj, sig); #else {const char *desc, *s1, *s2; desc = (const char *)PyCObject_GetDesc(cobj); if (!desc) goto bad; s1 = desc; s2 = sig; while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } if (*s1 != *s2) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, desc); goto bad; } tmp.p = PyCObject_AsVoidPtr(cobj);} #endif *f = tmp.fp; if (!(*f)) goto bad; Py_DECREF(d); return 0; bad: Py_XDECREF(d); return -1; } #endif /* InitStrings */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if CYTHON_COMPILING_IN_CPYTHON && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else if (__Pyx_PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_LENGTH(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else return PyUnicode_AsUTF8AndSize(o, length); #endif #endif } else #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) if (PyByteArray_Check(o)) { *length = PyByteArray_GET_SIZE(o); return PyByteArray_AS_STRING(o); } else #endif { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (unlikely(r < 0)) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return __Pyx_NewRef(x); m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%.4s__ returned non-%.4s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject *x; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(b))) { if (sizeof(Py_ssize_t) >= sizeof(long)) return PyInt_AS_LONG(b); else return PyInt_AsSsize_t(x); } #endif if (likely(PyLong_CheckExact(b))) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)b)->ob_digit; const Py_ssize_t size = Py_SIZE(b); if (likely(__Pyx_sst_abs(size) <= 1)) { ival = likely(size) ? digits[0] : 0; if (size == -1) ival = -ival; return ival; } else { switch (size) { case 2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; } } #endif return PyLong_AsSsize_t(b); } x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { return PyInt_FromSize_t(ival); } #endif /* Py_PYTHON_H */ PyWavelets-0.5.1/pywt/_extensions/_dwt.pxd0000755€>SK[€>P0000000017313017375740022604 0ustar lee8rxdomain^users00000000000000from ._pywt cimport Wavelet, data_t cpdef upcoef(bint do_rec_a, data_t[::1] coeffs, Wavelet wavelet, int level, int take) PyWavelets-0.5.1/pywt/_extensions/_dwt.pyx0000755€>SK[€>P0000003412713017375740022637 0ustar lee8rxdomain^users00000000000000#cython: boundscheck=False, wraparound=False cimport common, c_wt from common cimport pywt_index_t, MODE from ._pywt cimport _check_dtype cimport numpy as np import numpy as np cpdef dwt_max_level(size_t data_len, size_t filter_len): return common.dwt_max_level(data_len, filter_len) cpdef dwt_coeff_len(size_t data_len, size_t filter_len, MODE mode): if data_len < 1: raise ValueError("Value of data_len must be greater than zero.") if filter_len < 1: raise ValueError("Value of filter_len must be greater than zero.") return common.dwt_buffer_length(data_len, filter_len, mode) cpdef dwt_single(data_t[::1] data, Wavelet wavelet, MODE mode): cdef size_t output_len = dwt_coeff_len(data.size, wavelet.dec_len, mode) cdef np.ndarray cA, cD cdef int retval_a, retval_d cdef size_t data_size = data.size if output_len < 1: raise RuntimeError("Invalid output length.") if data_t is np.float64_t: # TODO: Don't think these have to be 0-initialized # TODO: Check other methods of allocating (e.g. Cython/CPython arrays) cA = np.zeros(output_len, np.float64) cD = np.zeros(output_len, np.float64) with nogil: retval_a = c_wt.double_dec_a(&data[0], data_size, wavelet.w, cA.data, output_len, mode) retval_d = c_wt.double_dec_d(&data[0], data_size, wavelet.w, cD.data, output_len, mode) if ( retval_a < 0 or retval_d < 0): raise RuntimeError("C dwt failed.") elif data_t is np.float32_t: cA = np.zeros(output_len, np.float32) cD = np.zeros(output_len, np.float32) with nogil: retval_a = c_wt.float_dec_a(&data[0], data_size, wavelet.w, cA.data, output_len, mode) retval_d = c_wt.float_dec_d(&data[0], data_size, wavelet.w, cD.data, output_len, mode) if ( retval_a < 0 or retval_d < 0): raise RuntimeError("C dwt failed.") return (cA, cD) cpdef dwt_axis(np.ndarray data, Wavelet wavelet, MODE mode, unsigned int axis=0): # memory-views do not support n-dimensional arrays, use np.ndarray instead cdef common.ArrayInfo data_info, output_info cdef np.ndarray cD, cA # Explicit input_shape necessary to prevent memory leak cdef size_t[::1] input_shape, output_shape cdef int retval data = data.astype(_check_dtype(data), copy=False) input_shape = data.shape output_shape = input_shape.copy() output_shape[axis] = common.dwt_buffer_length(data.shape[axis], wavelet.dec_len, mode) cA = np.empty(output_shape, data.dtype) cD = np.empty(output_shape, data.dtype) data_info.ndim = data.ndim data_info.strides = data.strides data_info.shape = data.shape output_info.ndim = cA.ndim output_info.strides = cA.strides output_info.shape = cA.shape if data.dtype == np.float64: with nogil: retval = c_wt.double_downcoef_axis( data.data, data_info, cA.data, output_info, wavelet.w, axis, common.COEF_APPROX, mode, 0, common.DWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") with nogil: retval = c_wt.double_downcoef_axis( data.data, data_info, cD.data, output_info, wavelet.w, axis, common.COEF_DETAIL, mode, 0, common.DWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") elif data.dtype == np.float32: with nogil: retval = c_wt.float_downcoef_axis( data.data, data_info, cA.data, output_info, wavelet.w, axis, common.COEF_APPROX, mode, 0, common.DWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") with nogil: retval = c_wt.float_downcoef_axis( data.data, data_info, cD.data, output_info, wavelet.w, axis, common.COEF_DETAIL, mode, 0, common.DWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") else: raise TypeError("Array must be floating point, not {}" .format(data.dtype)) return (cA, cD) cpdef idwt_single(np.ndarray cA, np.ndarray cD, Wavelet wavelet, MODE mode): cdef size_t input_len, rec_len cdef int retval cdef np.ndarray rec # check for size difference between arrays if cA.size != cD.size: raise ValueError("Coefficients arrays must have the same size.") else: input_len = cA.size if cA.dtype != cD.dtype: raise ValueError("Coefficients arrays must have the same dtype.") # find reconstruction buffer length rec_len = common.idwt_buffer_length(input_len, wavelet.rec_len, mode) if rec_len < 1: msg = ("Invalid coefficient arrays length for specified wavelet. " "Wavelet and mode must be the same as used for decomposition.") raise ValueError(msg) # call idwt func. one of cA/cD can be None, then only # reconstruction of non-null part will be performed if cA.dtype == np.float64: rec = np.zeros(rec_len, dtype=np.float64) with nogil: retval = c_wt.double_idwt(cA.data, input_len, cD.data, input_len, rec.data, rec_len, wavelet.w, mode) if retval < 0: raise RuntimeError("C idwt failed.") elif cA.dtype == np.float32: rec = np.zeros(rec_len, dtype=np.float32) with nogil: retval = c_wt.float_idwt(cA.data, input_len, cD.data, input_len, rec.data, rec_len, wavelet.w, mode) if retval < 0: raise RuntimeError("C idwt failed.") return rec cpdef idwt_axis(np.ndarray coefs_a, np.ndarray coefs_d, Wavelet wavelet, MODE mode, unsigned int axis=0): cdef common.ArrayInfo a_info, d_info, output_info cdef common.ArrayInfo *a_info_p = NULL cdef common.ArrayInfo *d_info_p = NULL cdef np.ndarray output cdef np.dtype output_dtype cdef void *data_a = NULL cdef void *data_d = NULL # Explicit input_shape necessary to prevent memory leak cdef size_t[::1] input_shape, output_shape if coefs_a is not None: if coefs_d is not None and coefs_d.dtype.itemsize > coefs_a.dtype.itemsize: coefs_a = coefs_a.astype(_check_dtype(coefs_d), copy=False) else: coefs_a = coefs_a.astype(_check_dtype(coefs_a), copy=False) a_info.ndim = coefs_a.ndim a_info.strides = coefs_a.strides a_info.shape = coefs_a.shape a_info_p = &a_info data_a = coefs_a.data if coefs_d is not None: if coefs_a is not None and coefs_a.dtype.itemsize > coefs_d.dtype.itemsize: coefs_d = coefs_d.astype(_check_dtype(coefs_a), copy=False) else: coefs_d = coefs_d.astype(_check_dtype(coefs_d), copy=False) d_info.ndim = coefs_d.ndim d_info.strides = coefs_d.strides d_info.shape = coefs_d.shape d_info_p = &d_info data_d = coefs_d.data if coefs_a is not None: input_shape = coefs_a.shape output_dtype = coefs_a.dtype elif coefs_d is not None: input_shape = coefs_d.shape output_dtype = coefs_d.dtype else: return None output_shape = input_shape.copy() output_shape[axis] = common.idwt_buffer_length(input_shape[axis], wavelet.rec_len, mode) output = np.empty(output_shape, output_dtype) output_info.ndim = output.ndim output_info.strides = output.strides output_info.shape = output.shape if output.dtype == np.float64: with nogil: retval = c_wt.double_idwt_axis( data_a, a_info_p, data_d, d_info_p, output.data, output_info, wavelet.w, axis, mode) if retval: raise RuntimeError("C inverse wavelet transform failed") elif output.dtype == np.float32: with nogil: retval = c_wt.float_idwt_axis( data_a, a_info_p, data_d, d_info_p, output.data, output_info, wavelet.w, axis, mode) if retval: raise RuntimeError("C inverse wavelet transform failed") else: raise TypeError("Array must be floating point, not {}" .format(output.dtype)) return output cpdef upcoef(bint do_rec_a, data_t[::1] coeffs, Wavelet wavelet, int level, int take): cdef data_t[::1] rec cdef int i, retval cdef size_t rec_len, left_bound, right_bound, coeffs_size rec_len = 0 if level < 1: raise ValueError("Value of level must be greater than 0.") for i in range(level): coeffs_size = coeffs.size # output len rec_len = common.reconstruction_buffer_length(coeffs.size, wavelet.dec_len) if rec_len < 1: raise RuntimeError("Invalid output length.") # To mirror multi-level wavelet reconstruction behaviour, when detail # reconstruction is requested, the dec_d variant is only called at the # first level to generate the approximation coefficients at the second # level. Subsequent levels apply the reconstruction filter. if data_t is np.float64_t: rec = np.zeros(rec_len, dtype=np.float64) if do_rec_a or i > 0: with nogil: retval = c_wt.double_rec_a(&coeffs[0], coeffs_size, wavelet.w, &rec[0], rec_len) if retval < 0: raise RuntimeError("C rec_a failed.") else: with nogil: retval = c_wt.double_rec_d(&coeffs[0], coeffs_size, wavelet.w, &rec[0], rec_len) if retval < 0: raise RuntimeError("C rec_d failed.") elif data_t is np.float32_t: rec = np.zeros(rec_len, dtype=np.float32) if do_rec_a or i > 0: with nogil: retval = c_wt.float_rec_a(&coeffs[0], coeffs_size, wavelet.w, &rec[0], rec_len) if retval < 0: raise RuntimeError("C rec_a failed.") else: with nogil: retval = c_wt.float_rec_d(&coeffs[0], coeffs_size, wavelet.w, &rec[0], rec_len) if retval < 0: raise RuntimeError("C rec_d failed.") # TODO: this algorithm needs some explaining coeffs = rec if take > 0 and take < rec_len: left_bound = right_bound = (rec_len-take) // 2 if (rec_len-take) % 2: # right_bound must never be zero for indexing to work right_bound = right_bound + 1 return rec[left_bound:-right_bound] return rec cpdef downcoef(bint do_dec_a, data_t[::1] data, Wavelet wavelet, MODE mode, int level): cdef data_t[::1] coeffs cdef int i, retval cdef size_t output_len, data_size if level < 1: raise ValueError("Value of level must be greater than 0.") for i in range(level): data_size = data.size output_len = common.dwt_buffer_length(data.size, wavelet.dec_len, mode) if output_len < 1: raise RuntimeError("Invalid output length.") # To mirror multi-level wavelet decomposition behaviour, when detail # coefficients are requested, the dec_d variant is only called at the # final level. All prior levels use dec_a. In other words, the detail # coefficients at level n are those produced via the operation of the # detail filter on the approximation coefficients of level n-1. if data_t is np.float64_t: coeffs = np.zeros(output_len, dtype=np.float64) if do_dec_a or (i < level - 1): with nogil: retval = c_wt.double_dec_a(&data[0], data_size, wavelet.w, &coeffs[0], output_len, mode) if retval < 0: raise RuntimeError("C dec_a failed.") else: with nogil: retval = c_wt.double_dec_d(&data[0], data_size, wavelet.w, &coeffs[0], output_len, mode) if retval < 0: raise RuntimeError("C dec_d failed.") elif data_t is np.float32_t: coeffs = np.zeros(output_len, dtype=np.float32) if do_dec_a or (i < level - 1): with nogil: retval = c_wt.float_dec_a(&data[0], data_size, wavelet.w, &coeffs[0], output_len, mode) if retval < 0: raise RuntimeError("C dec_a failed.") else: with nogil: retval = c_wt.float_dec_d(&data[0], data_size, wavelet.w, &coeffs[0], output_len, mode) if retval < 0: raise RuntimeError("C dec_d 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Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; /* BufferFormatStructs.proto */ #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; struct __Pyx_StructField_* fields; size_t size; size_t arraysize[8]; int ndim; char typegroup; char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; /* Atomics.proto */ #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 #include #undef __pyx_atomic_int_type #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #pragma message ("Using MSVC atomics") #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview)\ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview)\ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":725 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":726 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":727 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":728 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":732 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":733 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":734 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":735 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":739 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":740 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":749 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":750 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":751 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":753 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":754 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":755 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":757 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":758 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":760 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":761 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":762 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; /* "pywt/_extensions/_pywt.pxd":4 * cimport numpy as np * * ctypedef Py_ssize_t pywt_index_t # <<<<<<<<<<<<<< * * ctypedef fused data_t: */ typedef Py_ssize_t __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t; /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; #endif /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif /*--- Type declarations ---*/ struct WaveletObject; struct ContinuousWaveletObject; struct __pyx_array_obj; struct __pyx_MemviewEnum_obj; struct __pyx_memoryview_obj; struct __pyx_memoryviewslice_obj; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":764 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":765 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":766 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; 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/* PyObjectCall.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); #else #define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) #endif /* PyThreadStateGet.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; #define __Pyx_PyThreadState_assign __pyx_tstate = PyThreadState_GET(); #else #define __Pyx_PyThreadState_declare #define __Pyx_PyThreadState_assign #endif /* PyErrFetchRestore.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb) #define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb) #define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb) #define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb) static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); #else #define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb) #define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) #define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) #define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) #endif /* RaiseException.proto */ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /* GetModuleGlobalName.proto */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /* GetAttr.proto */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /* SaveResetException.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); #define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); #else #define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) #define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) #endif /* PyErrExceptionMatches.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err) static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err); #else #define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err) #endif /* GetException.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); #else static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); #endif /* PySequenceContains.proto */ static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) { int result = PySequence_Contains(seq, item); return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); } /* PyObjectCallMethO.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); #endif /* PyObjectCallOneArg.proto */ static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); /* IncludeStringH.proto */ #include /* BytesEquals.proto */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); /* UnicodeEquals.proto */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /* StrEquals.proto */ #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals #else #define __Pyx_PyString_Equals __Pyx_PyBytes_Equals #endif /* RaiseTooManyValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); /* RaiseNeedMoreValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); /* IterFinish.proto */ static CYTHON_INLINE int __Pyx_IterFinish(void); /* UnpackItemEndCheck.proto */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /* FetchCommonType.proto */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); /* CythonFunction.proto */ #define __Pyx_CyFunction_USED 1 #include #define __Pyx_CYFUNCTION_STATICMETHOD 0x01 #define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 #define __Pyx_CYFUNCTION_CCLASS 0x04 #define __Pyx_CyFunction_GetClosure(f)\ (((__pyx_CyFunctionObject *) (f))->func_closure) #define __Pyx_CyFunction_GetClassObj(f)\ (((__pyx_CyFunctionObject *) (f))->func_classobj) #define __Pyx_CyFunction_Defaults(type, f)\ ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) #define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) typedef struct { PyCFunctionObject func; #if PY_VERSION_HEX < 0x030500A0 PyObject *func_weakreflist; #endif PyObject *func_dict; PyObject *func_name; PyObject *func_qualname; PyObject *func_doc; PyObject *func_globals; PyObject *func_code; PyObject *func_closure; PyObject *func_classobj; void *defaults; int defaults_pyobjects; int flags; PyObject *defaults_tuple; PyObject *defaults_kwdict; PyObject *(*defaults_getter)(PyObject *); PyObject *func_annotations; } __pyx_CyFunctionObject; static PyTypeObject *__pyx_CyFunctionType = 0; #define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject* code); static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, size_t size, int pyobjects); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, PyObject *tuple); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, PyObject *dict); static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, PyObject *dict); static int __pyx_CyFunction_init(void); /* ListAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif /* PyObjectCallMethod1.proto */ static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg); /* append.proto */ static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x); /* SliceObject.proto */ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice( PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop, PyObject** py_start, PyObject** py_stop, PyObject** py_slice, int has_cstart, int has_cstop, int wraparound); /* PyObjectCallNoArg.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); #else #define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL) #endif /* GetItemInt.proto */ #define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ __Pyx_GetItemInt_Generic(o, to_py_func(i)))) #define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); /* decode_c_string.proto */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); /* None.proto */ static CYTHON_INLINE long __Pyx_mod_long(long, long); /* BufferFormatCheck.proto */ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type); // PROTO /* MemviewSliceInit.proto */ #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); /* None.proto */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); /* ExtTypeTest.proto */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /* DictGetItem.proto */ #if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) { PyObject *value; 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#else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); #endif /* Import.proto */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ /* ListCompAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif /* PyIntBinop.proto */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace); #else #define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\ (inplace ? 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int code_line; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); /* AddTraceback.proto */ static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif /* BufferStructDeclare.proto */ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; /* None.proto */ static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; /* MemviewSliceIsContig.proto */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); /* OverlappingSlices.proto */ static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); /* Capsule.proto */ static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_MODE(MODE value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_WAVELET_NAME(WAVELET_NAME value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_int(unsigned int value); /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(__cplusplus) && CYTHON_CCOMPLEX && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif /* None.proto */ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj); /* None.proto */ static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); /* MemviewSliceCopyTemplate.proto */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); /* TypeInfoToFormat.proto */ struct __pyx_typeinfo_string { char string[3]; }; static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type); /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE WAVELET_NAME __Pyx_PyInt_As_WAVELET_NAME(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); /* TypeInfoCompare.proto */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); /* MemviewSliceValidateAndInit.proto */ static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *); /* CheckBinaryVersion.proto */ static int __Pyx_check_binary_version(void); /* FunctionExport.proto */ static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig); /* PyIdentifierFromString.proto */ #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif /* ModuleImport.proto */ static PyObject *__Pyx_ImportModule(const char *name); /* TypeImport.proto */ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /* FunctionImport.proto */ static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig); /* InitStrings.proto */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ /* Module declarations from 'pywt._extensions.common' */ /* Module declarations from 'pywt._extensions.wavelet' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'cpython' */ /* Module declarations from 'cpython.object' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'pywt._extensions.c_wt' */ /* Module declarations from 'pywt._extensions._dwt' */ static PyObject *(*__pyx_fuse_0__pyx_f_4pywt_11_extensions_4_dwt_upcoef)(int, __Pyx_memviewslice, struct WaveletObject *, int, int, int __pyx_skip_dispatch); /*proto*/ static PyObject *(*__pyx_fuse_1__pyx_f_4pywt_11_extensions_4_dwt_upcoef)(int, __Pyx_memviewslice, struct WaveletObject *, int, int, int __pyx_skip_dispatch); /*proto*/ /* Module declarations from 'pywt._extensions._cwt' */ static PyObject *(*__pyx_fuse_0__pyx_f_4pywt_11_extensions_4_cwt_cwt_psi_single)(__Pyx_memviewslice, struct ContinuousWaveletObject *, size_t, int __pyx_skip_dispatch); /*proto*/ static PyObject *(*__pyx_fuse_1__pyx_f_4pywt_11_extensions_4_cwt_cwt_psi_single)(__Pyx_memviewslice, struct ContinuousWaveletObject *, size_t, int __pyx_skip_dispatch); /*proto*/ /* Module declarations from 'libc.math' */ /* Module declarations from 'pywt._extensions._pywt' */ static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_Wavelet = 0; static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_ContinuousWavelet = 0; static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *__pyx_v_4pywt_11_extensions_5_pywt___wname_to_code = 0; static PyObject *__pyx_v_4pywt_11_extensions_5_pywt___wfamily_list_short = 0; static PyObject *__pyx_v_4pywt_11_extensions_5_pywt___wfamily_list_long = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static int __pyx_memoryview_thread_locks_used; static PyThread_type_lock __pyx_memoryview_thread_locks[8]; static PyArray_Descr *__pyx_f_4pywt_11_extensions_5_pywt__check_dtype(PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_5_pywt_c_wavelet_from_object(PyObject *); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_5_pywt_wname_to_code(PyObject *); /*proto*/ static __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t __pyx_f_4pywt_11_extensions_5_pywt_get_keep_length(__pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t, int, __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t); /*proto*/ static __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t __pyx_f_4pywt_11_extensions_5_pywt_fix_output_length(__pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t, __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t); /*proto*/ static __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t __pyx_f_4pywt_11_extensions_5_pywt_get_right_extent_length(__pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t, __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t); /*proto*/ static PyObject *__pyx_f_4pywt_11_extensions_5_pywt_float64_array_to_list(double *, __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t); /*proto*/ static void __pyx_f_4pywt_11_extensions_5_pywt_copy_object_to_float64_array(PyObject *, double *); /*proto*/ static void __pyx_f_4pywt_11_extensions_5_pywt_copy_object_to_float32_array(PyObject *, float *); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static PyObject *__pyx_format_from_typeinfo(__Pyx_TypeInfo *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { "float32_t", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 }; #define __Pyx_MODULE_NAME "pywt._extensions._pywt" int __pyx_module_is_main_pywt___extensions___pywt = 0; /* Implementation of 'pywt._extensions._pywt' */ static PyObject *__pyx_builtin_object; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_AttributeError; static PyObject *__pyx_builtin_DeprecationWarning; static PyObject *__pyx_builtin_KeyError; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static const char __pyx_k_O[] = "O"; static const char __pyx_k_T[] = "T{"; static const char __pyx_k_c[] = "c"; static const char __pyx_k_m[] = "m"; static const char __pyx_k_s[] = "(%s)"; static const char __pyx_k_x[] = "x"; static const char __pyx_k__2[] = "_"; static const char __pyx_k_db[] = "db"; static const char __pyx_k_id[] = "id"; static const char __pyx_k_np[] = "np"; static const char __pyx_k__10[] = ""; static const char __pyx_k__22[] = "\n"; static const char __pyx_k__45[] = "^"; static const char __pyx_k__46[] = ":"; static const char __pyx_k__47[] = "}"; static const char __pyx_k__48[] = ","; static const char __pyx_k_all[] = "all"; static const char __pyx_k_arr[] = "arr"; static const char __pyx_k_cpd[] = "cpd"; static const char __pyx_k_db1[] = "db1"; static const char __pyx_k_db2[] = "db2"; static const char __pyx_k_db3[] = "db3"; static const char __pyx_k_db4[] = "db4"; static const char __pyx_k_db5[] = "db5"; static const char __pyx_k_db6[] = "db6"; static const char __pyx_k_db7[] = "db7"; static const char __pyx_k_db8[] = "db8"; static const char __pyx_k_db9[] = "db9"; static const char __pyx_k_doc[] = "__doc__"; static const char __pyx_k_msg[] = "msg"; static const char __pyx_k_new[] = "new"; static const char __pyx_k_obj[] = "obj"; static const char __pyx_k_old[] = "old"; static const char __pyx_k_per[] = "per"; static const char __pyx_k_ppd[] = "ppd"; static const char __pyx_k_sp1[] = "sp1"; static const char __pyx_k_sym[] = "sym"; static const char __pyx_k_zpd[] = "zpd"; static const char __pyx_k_Haar[] = "Haar"; static const char __pyx_k_attr[] = "attr"; static const char __pyx_k_base[] = "base"; static const char __pyx_k_bior[] = "bior"; static const char __pyx_k_cgau[] = "cgau"; static const char __pyx_k_cmor[] = "cmor"; static const char __pyx_k_coif[] = "coif"; static const char __pyx_k_db10[] = "db10"; static const char __pyx_k_db11[] = "db11"; static const char __pyx_k_db12[] = "db12"; static const char __pyx_k_db13[] = "db13"; static const char __pyx_k_db14[] = "db14"; static const char __pyx_k_db15[] = "db15"; static const char __pyx_k_db16[] = "db16"; static const char __pyx_k_db17[] = "db17"; static const char __pyx_k_db18[] = "db18"; static const char __pyx_k_db19[] = "db19"; static const char __pyx_k_db20[] = "db20"; static const char __pyx_k_db21[] = "db21"; static const char __pyx_k_db22[] = "db22"; static const char __pyx_k_db23[] = "db23"; static const char __pyx_k_db24[] = "db24"; static const char __pyx_k_db25[] = "db25"; static const char __pyx_k_db26[] = "db26"; static const char __pyx_k_db27[] = "db27"; static const char __pyx_k_db28[] = "db28"; static const char __pyx_k_db29[] = "db29"; static const char __pyx_k_db30[] = "db30"; static const char __pyx_k_db31[] = "db31"; static const char __pyx_k_db32[] = "db32"; static const char __pyx_k_db33[] = "db33"; static const char __pyx_k_db34[] = "db34"; static const char __pyx_k_db35[] = "db35"; static const char __pyx_k_db36[] = "db36"; static const char __pyx_k_db37[] = "db37"; static const char __pyx_k_db38[] = "db38"; static const char __pyx_k_dmey[] = "dmey"; static const char __pyx_k_fbsp[] = "fbsp"; static const char __pyx_k_gaus[] = "gaus"; static const char __pyx_k_haar[] = "haar"; static const char __pyx_k_join[] = "join"; static const char __pyx_k_keep[] = "keep"; static const char __pyx_k_kind[] = "kind"; static const char __pyx_k_main[] = "__main__"; static const char __pyx_k_mexh[] = "mexh"; static const char __pyx_k_mode[] = "mode"; static const char __pyx_k_morl[] = "morl"; static const char __pyx_k_name[] = "name"; static const char __pyx_k_ndim[] = "ndim"; static const char __pyx_k_pack[] = "pack"; static const char __pyx_k_rbio[] = "rbio"; static const char __pyx_k_self[] = "self"; static const char __pyx_k_shan[] = "shan"; static const char __pyx_k_size[] = "size"; static const char __pyx_k_sort[] = "sort"; static const char __pyx_k_step[] = "step"; static const char __pyx_k_stop[] = "stop"; static const char __pyx_k_sym2[] = "sym2"; static const char __pyx_k_sym3[] = "sym3"; static const char __pyx_k_sym4[] = "sym4"; static const char __pyx_k_sym5[] = "sym5"; static const char __pyx_k_sym6[] = "sym6"; static const char __pyx_k_sym7[] = "sym7"; static const char __pyx_k_sym8[] = "sym8"; static const char __pyx_k_sym9[] = "sym9"; static const char __pyx_k_test[] = "__test__"; static const char __pyx_k_warn[] = "warn"; static const char __pyx_k_zero[] = "zero"; static const char __pyx_k_ASCII[] = "ASCII"; static const char __pyx_k_MODES[] = "MODES"; static const char __pyx_k_Modes[] = "Modes"; static const char __pyx_k_all_2[] = "__all__"; static const char __pyx_k_cgau1[] = "cgau1"; static const char __pyx_k_cgau2[] = "cgau2"; static const char __pyx_k_cgau3[] = "cgau3"; static const char __pyx_k_cgau4[] = "cgau4"; static const char __pyx_k_cgau5[] = "cgau5"; static const char __pyx_k_cgau6[] = "cgau6"; static const char __pyx_k_cgau7[] = "cgau7"; static const char __pyx_k_cgau8[] = "cgau8"; static const char __pyx_k_class[] = "__class__"; static const char __pyx_k_coif1[] = "coif1"; static const char __pyx_k_coif2[] = "coif2"; static const char __pyx_k_coif3[] = "coif3"; static const char __pyx_k_coif4[] = "coif4"; static const char __pyx_k_coif5[] = "coif5"; static const char __pyx_k_coif6[] = "coif6"; static const char __pyx_k_coif7[] = "coif7"; static const char __pyx_k_coif8[] = "coif8"; static const char __pyx_k_coif9[] = "coif9"; static const char __pyx_k_dtype[] = "dtype"; static const char __pyx_k_error[] = "error"; static const char __pyx_k_flags[] = "flags"; static const char __pyx_k_gaus1[] = "gaus1"; static const char __pyx_k_gaus2[] = "gaus2"; static const char __pyx_k_gaus3[] = "gaus3"; static const char __pyx_k_gaus4[] = "gaus4"; static const char __pyx_k_gaus5[] = "gaus5"; static const char __pyx_k_gaus6[] = "gaus6"; static const char __pyx_k_gaus7[] = "gaus7"; static const char __pyx_k_gaus8[] = "gaus8"; static const char __pyx_k_index[] = "index"; static const char __pyx_k_level[] = "level"; static const char __pyx_k_lower[] = "lower"; static const char __pyx_k_modes[] = "modes"; static const char __pyx_k_numpy[] = "numpy"; static const char __pyx_k_range[] = "range"; static const char __pyx_k_shape[] = "shape"; static const char __pyx_k_short[] = "short"; static const char __pyx_k_start[] = "start"; static const char __pyx_k_sym10[] = "sym10"; static const char __pyx_k_sym11[] = "sym11"; static const char __pyx_k_sym12[] = "sym12"; static const char __pyx_k_sym13[] = "sym13"; static const char __pyx_k_sym14[] = "sym14"; static const char __pyx_k_sym15[] = "sym15"; static const char __pyx_k_sym16[] = "sym16"; static const char __pyx_k_sym17[] = "sym17"; static const char __pyx_k_sym18[] = "sym18"; static const char __pyx_k_sym19[] = "sym19"; static const char __pyx_k_sym20[] = "sym20"; static const char __pyx_k_zeros[] = "zeros"; static const char __pyx_k_append[] = "append"; static const char __pyx_k_coif10[] = "coif10"; static const char __pyx_k_coif11[] = "coif11"; static const char __pyx_k_coif12[] = "coif12"; static const char __pyx_k_coif13[] = "coif13"; static const char __pyx_k_coif14[] = "coif14"; static const char __pyx_k_coif15[] = "coif15"; static const char __pyx_k_coif16[] = "coif16"; static const char __pyx_k_coif17[] = "coif17"; static const char __pyx_k_dec_hi[] = "dec_hi"; static const char __pyx_k_dec_lo[] = "dec_lo"; static const char __pyx_k_encode[] = "encode"; static const char __pyx_k_family[] = "family"; static const char __pyx_k_format[] = "format"; static const char __pyx_k_import[] = "__import__"; static const char __pyx_k_length[] = "length"; static const char __pyx_k_module[] = "module"; static const char __pyx_k_name_2[] = "__name__"; static const char __pyx_k_object[] = "object"; static const char __pyx_k_rec_hi[] = "rec_hi"; static const char __pyx_k_rec_lo[] = "rec_lo"; static const char __pyx_k_rstrip[] = "rstrip"; static const char __pyx_k_smooth[] = "smooth"; static const char __pyx_k_struct[] = "struct"; static const char __pyx_k_unpack[] = "unpack"; static const char __pyx_k_Modes_2[] = "_Modes"; static const char __pyx_k_Symlets[] = "Symlets"; static const char __pyx_k_Wavelet[] = "Wavelet"; static const char __pyx_k_asarray[] = "asarray"; static const char __pyx_k_bior1_1[] = "bior1.1"; static const char __pyx_k_bior1_3[] = "bior1.3"; static const char __pyx_k_bior1_5[] = "bior1.5"; static const char __pyx_k_bior2_2[] = "bior2.2"; static const char __pyx_k_bior2_4[] = "bior2.4"; static const char __pyx_k_bior2_6[] = "bior2.6"; static const char __pyx_k_bior2_8[] = "bior2.8"; static const char __pyx_k_bior3_1[] = "bior3.1"; static const char __pyx_k_bior3_3[] = "bior3.3"; static const char __pyx_k_bior3_5[] = "bior3.5"; static const char __pyx_k_bior3_7[] = "bior3.7"; static const char __pyx_k_bior3_9[] = "bior3.9"; static const char __pyx_k_bior4_4[] = "bior4.4"; static const char __pyx_k_bior5_5[] = "bior5.5"; static const char __pyx_k_bior6_8[] = "bior6.8"; static const char __pyx_k_dec_len[] = "dec_len"; static const char __pyx_k_float32[] = "float32"; static const char __pyx_k_float64[] = "float64"; static const char __pyx_k_fortran[] = "fortran"; static const char __pyx_k_getattr[] = "__getattr__"; static const char __pyx_k_memview[] = "memview"; static const char __pyx_k_prepare[] = "__prepare__"; static const char __pyx_k_rbio1_1[] = "rbio1.1"; static const char __pyx_k_rbio1_3[] = "rbio1.3"; static const char __pyx_k_rbio1_5[] = "rbio1.5"; static const char __pyx_k_rbio2_2[] = "rbio2.2"; static const char __pyx_k_rbio2_4[] = "rbio2.4"; static const char __pyx_k_rbio2_6[] = "rbio2.6"; static const char __pyx_k_rbio2_8[] = "rbio2.8"; static const char __pyx_k_rbio3_1[] = "rbio3.1"; static const char __pyx_k_rbio3_3[] = "rbio3.3"; static const char __pyx_k_rbio3_5[] = "rbio3.5"; static const char __pyx_k_rbio3_7[] = "rbio3.7"; static const char __pyx_k_rbio3_9[] = "rbio3.9"; static const char __pyx_k_rbio4_4[] = "rbio4.4"; static const char __pyx_k_rbio5_5[] = "rbio5.5"; static const char __pyx_k_rbio6_8[] = "rbio6.8"; static const char __pyx_k_reflect[] = "reflect"; static const char __pyx_k_unknown[] = "unknown"; static const char __pyx_k_wavelet[] = "wavelet"; static const char __pyx_k_CWT_True[] = " CWT: True"; static const char __pyx_k_Coiflets[] = "Coiflets"; static const char __pyx_k_DWT_True[] = " DWT: True"; static const char __pyx_k_Ellipsis[] = "Ellipsis"; static const char __pyx_k_Gaussian[] = "Gaussian"; static const char __pyx_k_KeyError[] = "KeyError"; static const char __pyx_k_constant[] = "constant"; static const char __pyx_k_discrete[] = "discrete"; static const char __pyx_k_families[] = "families"; static const char __pyx_k_itemsize[] = "itemsize"; static const char __pyx_k_linspace[] = "linspace"; static const char __pyx_k_module_2[] = "__module__"; static const char __pyx_k_new_mode[] = "new_mode"; static const char __pyx_k_periodic[] = "periodic"; static const char __pyx_k_qualname[] = "__qualname__"; static const char __pyx_k_symmetry[] = "symmetry"; static const char __pyx_k_warnings[] = "warnings"; static const char __pyx_k_wavelets[] = "wavelets"; static const char __pyx_k_wavelist[] = "wavelist"; static const char __pyx_k_CWT_False[] = " CWT: False"; static const char __pyx_k_DWT_False[] = " DWT: False"; static const char __pyx_k_TypeError[] = "TypeError"; static const char __pyx_k_Wavelet_s[] = "Wavelet %s"; static const char __pyx_k_classname[] = "classname"; static const char __pyx_k_enumerate[] = "enumerate"; static const char __pyx_k_metaclass[] = "__metaclass__"; static const char __pyx_k_old_modes[] = "_old_modes"; static const char __pyx_k_symmetric[] = "symmetric"; static const char __pyx_k_Daubechies[] = "Daubechies"; static const char __pyx_k_IndexError[] = "IndexError"; static const char __pyx_k_Symmetry_s[] = " Symmetry: %s"; static const char __pyx_k_ValueError[] = "ValueError"; static const char __pyx_k_asymmetric[] = "asymmetric"; static const char __pyx_k_check_kind[] = "_check_kind"; static const char __pyx_k_continuous[] = "continuous"; static const char __pyx_k_left_bound[] = "left_bound"; static const char __pyx_k_orthogonal[] = "orthogonal"; static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; static const char __pyx_k_startswith[] = "startswith"; static const char __pyx_k_MemoryError[] = "MemoryError"; static const char __pyx_k_complex_cwt[] = "complex_cwt"; static const char __pyx_k_concatenate[] = "concatenate"; static const char __pyx_k_family_code[] = "family_code"; static const char __pyx_k_family_name[] = "family_name"; static const char __pyx_k_filter_bank[] = "filter_bank"; static const char __pyx_k_from_object[] = "from_object"; static const char __pyx_k_is_discrete[] = "is_discrete"; static const char __pyx_k_keep_length[] = "keep_length"; static const char __pyx_k_Biorthogonal[] = "Biorthogonal"; static const char __pyx_k_Invalid_mode[] = "Invalid mode."; static const char __pyx_k_Orthogonal_s[] = " Orthogonal: %s"; static const char __pyx_k_RuntimeError[] = "RuntimeError"; static const char __pyx_k_Short_name_s[] = " Short name: %s"; static const char __pyx_k_biorthogonal[] = "biorthogonal"; static const char __pyx_k_getattribute[] = "__getattribute__"; static const char __pyx_k_sorting_list[] = "sorting_list"; static const char __pyx_k_Complex_CWT_s[] = " Complex CWT: %s"; static const char __pyx_k_Family_name_s[] = " Family name: %s"; static const char __pyx_k_family_number[] = "family_number"; static const char __pyx_k_periodization[] = "periodization"; static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; static const char __pyx_k_AttributeError[] = "AttributeError"; static const char __pyx_k_Biorthogonal_s[] = " Biorthogonal: %s"; static const char __pyx_k_Morlet_wavelet[] = "Morlet wavelet"; static const char __pyx_k_anti_symmetric[] = "anti-symmetric"; static const char __pyx_k_near_symmetric[] = "near symmetric"; static const char __pyx_k_DeprecatedMODES[] = "_DeprecatedMODES"; static const char __pyx_k_Modes___getattr[] = "_Modes.__getattr__"; static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; static const char __pyx_k_Filters_length_d[] = " Filters length: %d"; static const char __pyx_k_Shannon_wavelets[] = "Shannon wavelets"; static const char __pyx_k_ContinuousWavelet[] = "ContinuousWavelet"; static const char __pyx_k_Modes_from_object[] = "_Modes.from_object"; static const char __pyx_k_families_line_235[] = "families (line 235)"; static const char __pyx_k_short_family_name[] = "short_family_name"; static const char __pyx_k_wavelist_line_163[] = "wavelist (line 163)"; static const char __pyx_k_DeprecationWarning[] = "DeprecationWarning"; static const char __pyx_k_get_filters_coeffs[] = "get_filters_coeffs"; static const char __pyx_k_strided_and_direct[] = ""; static const char __pyx_k_ContinuousWavelet_s[] = "ContinuousWavelet %s"; static const char __pyx_k_Mexican_hat_wavelet[] = "Mexican hat wavelet"; static const char __pyx_k_Unknown_mode_name_s[] = "Unknown mode name '%s'."; static const char __pyx_k_inverse_filter_bank[] = "inverse_filter_bank"; static const char __pyx_k_wavelet_from_object[] = "wavelet_from_object"; static const char __pyx_k_Invalid_wavelet_name[] = "Invalid wavelet name."; static const char __pyx_k_Reverse_biorthogonal[] = "Reverse biorthogonal"; static const char __pyx_k_attr_deprecation_msg[] = "_attr_deprecation_msg"; static const char __pyx_k_strided_and_indirect[] = ""; static const char __pyx_k_contiguous_and_direct[] = ""; static const char __pyx_k_MemoryView_of_r_object[] = ""; static const char __pyx_k_pywt__extensions__pywt[] = "pywt._extensions._pywt"; static const char __pyx_k_Complex_Morlet_wavelets[] = "Complex Morlet wavelets"; static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; static const char __pyx_k_contiguous_and_indirect[] = ""; static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; static const char __pyx_k_Wavelet_wavefun_line_521[] = "Wavelet.wavefun (line 521)"; static const char __pyx_k_Complex_Gaussian_wavelets[] = "Complex Gaussian wavelets"; static const char __pyx_k_DeprecatedMODES___getattr[] = "_DeprecatedMODES.__getattr__"; static const char __pyx_k_DiscreteContinuousWavelet[] = "DiscreteContinuousWavelet"; static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; static const char __pyx_k_module_classname_name_name[] = "{module}.{classname}(name='{name}')"; static const char __pyx_k_Frequency_B_Spline_wavelets[] = "Frequency B-Spline wavelets"; static const char __pyx_k_Invalid_short_family_name_s[] = "Invalid short family name '%s'."; static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; static const char __pyx_k_wavelist_locals__check_kind[] = "wavelist.._check_kind"; static const char __pyx_k_Unrecognized_value_for_kind_s[] = "Unrecognized value for `kind`: %s"; static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; static const char __pyx_k_DeprecatedMODES___getattribute[] = "_DeprecatedMODES.__getattribute__"; static const char __pyx_k_strided_and_direct_or_indirect[] = ""; static const char __pyx_k_All_filters_in_filter_bank_must[] = "All filters in filter bank must be 1D."; static const char __pyx_k_Because_the_most_common_and_pra[] = "\n Because the most common and practical way of representing digital signals\n in computer science is with finite arrays of values, some extrapolation of\n the input data has to be performed in order to extend the signal before\n computing the :ref:`Discrete Wavelet Transform ` using the\n cascading filter banks algorithm.\n\n Depending on the extrapolation method, significant artifacts at the\n signal's borders can be introduced during that process, which in turn may\n lead to inaccurate computations of the :ref:`DWT ` at the signal's\n ends.\n\n PyWavelets provides several methods of signal extrapolation that can be\n used to minimize this negative effect:\n\n zero - zero-padding 0 0 | x1 x2 ... xn | 0 0\n constant - constant-padding x1 x1 | x1 x2 ... xn | xn xn\n symmetric - symmetric-padding x2 x1 | x1 x2 ... xn | xn xn-1\n reflect - reflect-padding x3 x2 | x1 x2 ... xn | xn-1 xn-2\n periodic - periodic-padding xn-1 xn | x1 x2 ... xn | x1 x2\n smooth - smooth-padding (1st derivative interpolation)\n\n DWT performed for these extension modes is slightly redundant, but ensure a\n perfect reconstruction for IDWT. To receive the smallest possible number of\n coefficients, computations can be performed with the periodization mode:\n\n periodization - like periodic-padding but gives the smallest possible\n number of decomposition coefficients. IDWT must be\n performed with the same mode.\n\n Examples\n --------\n >>> import pywt\n >>> pywt.Modes.modes\n ['zero', 'constant', 'symmetric', 'reflect', 'periodic', 'smooth', 'periodization']\n >>> # The different ways of passing wavelet and mode parameters\n >>> (a, d) = pywt.dwt([1,2,3,4,5,6], 'db2', 'smooth')\n >>> (a, d) = pywt.dwt([1,2,3,4,5,6], pywt.Wavelet('db2'), pywt.Modes.smooth)\n\n Not""es\n -----\n Extending data in context of PyWavelets does not mean reallocation of the\n data in computer's physical memory and copying values, but rather computing\n the extra values only when they are needed. This feature saves extra\n memory and CPU resources and helps to avoid page swapping when handling\n relatively big data arrays on computers with low physical memory.\n\n "; static const char __pyx_k_Filter_bank_with_numeric_values[] = "Filter bank with numeric values required."; static const char __pyx_k_MODES_has_been_renamed_to_Modes[] = "MODES has been renamed to Modes and will be removed in a future version of pywt."; static const char __pyx_k_families_short_True_Returns_a_l[] = "\n families(short=True)\n\n Returns a list of available built-in wavelet families.\n\n Currently the built-in families are:\n\n * Haar (``haar``)\n * Daubechies (``db``)\n * Symlets (``sym``)\n * Coiflets (``coif``)\n * Biorthogonal (``bior``)\n * Reverse biorthogonal (``rbio``)\n * `\"Discrete\"` FIR approximation of Meyer wavelet (``dmey``)\n * Gaussian wavelets (``gaus``)\n * Mexican hat wavelet (``mexh``)\n * Morlet wavelet (``morl``)\n * Complex Gaussian wavelets (``cgau``)\n * Shannon wavelets (``shan``)\n * Frequency B-Spline wavelets (``fbsp``)\n * Complex Morlet wavelets (``cmor``)\n\n Parameters\n ----------\n short : bool, optional\n Use short names (default: True).\n\n Returns\n -------\n families : list\n List of available wavelet families.\n\n Examples\n --------\n >>> import pywt\n >>> pywt.families()\n ['haar', 'db', 'sym', 'coif', 'bior', 'rbio', 'dmey', 'gaus', 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor']\n >>> pywt.families(short=False)\n ['Haar', 'Daubechies', 'Symlets', 'Coiflets', 'Biorthogonal', 'Reverse biorthogonal', 'Discrete Meyer (FIR Approximation)', 'Gaussian', 'Mexican hat wavelet', 'Morlet wavelet', 'Complex Gaussian wavelets', 'Shannon wavelets', 'Frequency B-Spline wavelets', 'Complex Morlet wavelets']\n\n "; static const char __pyx_k_media_Data1_src_repositories_my[] = "/media/Data1/src_repositories/my_git/pyir/pywt_release/pywt/pywt/_extensions/_pywt.pyx"; static const char __pyx_k_module_classname_name_name_filt[] = "{module}.{classname}(name='{name}', filter_bank={filter_bank})"; static const char __pyx_k_old_has_been_renamed_to_new_and[] = "{old} has been renamed to {new} and will be unavailable in a future version of pywt."; static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; static const char __pyx_k_wavefun_self_level_8_Calculates[] = "\n wavefun(self, level=8)\n\n Calculates approximations of scaling function (`phi`) and wavelet\n function (`psi`) on xgrid (`x`) at a given level of refinement.\n\n Parameters\n ----------\n level : int, optional\n Level of refinement (default: 8).\n\n Returns\n -------\n [phi, psi, x] : array_like\n For orthogonal wavelets returns scaling function, wavelet function\n and xgrid - [phi, psi, x].\n\n [phi_d, psi_d, phi_r, psi_r, x] : array_like\n For biorthogonal wavelets returns scaling and wavelet function both\n for decomposition and reconstruction and xgrid\n\n Examples\n --------\n >>> import pywt\n >>> # Orthogonal\n >>> wavelet = pywt.Wavelet('db2')\n >>> phi, psi, x = wavelet.wavefun(level=5)\n >>> # Biorthogonal\n >>> wavelet = pywt.Wavelet('bior3.5')\n >>> phi_d, psi_d, phi_r, psi_r, x = wavelet.wavefun(level=5)\n\n "; static const char __pyx_k_wavefun_self_level_8_length_Non[] = "\n wavefun(self, level=8, length = None)\n\n Calculates approximations of wavelet\n function (`psi`) on xgrid (`x`) at a given level of refinement or length itself.\n\n Parameters\n ----------\n level : int, optional\n Level of refinement (default: 8). Defines the length by 2**level if length is not set.\n length : int, optional\n number of samples. If set to None, the length is set to 2**level instead.\n\n Returns\n -------\n psi : array_like\n Wavelet function computed for grid xval\n xval : array_like\n grid going from lower_bound to upper_bound\n\n Notes\n -----\n The effective support are set with lower_bound and upper_bound\n The wavelet function is complex for cmor, shan, fbsp and cgau.\n The complex frequency B-spline wavelet (fbsp) has bandwidth_frequency, center_frequency and fbsp_order as addional parameter\n The complex Shannon wavelet (shan) has bandwidth_frequency and center_frequency as addional parameter\n The complex Morlet wavelet (cmor) has bandwidth_frequency and center_frequency as addional parameter\n Examples\n --------\n >>> import pywt\n >>> import matplotlib.pyplot as plt\n >>> lb = -5\n >>> ub = 5\n >>> n = 1000\n >>> wavelet = pywt.ContinuousWavelet(\"gaus8\")\n >>> wavelet.upper_bound = ub\n >>> wavelet.lower_bound = lb\n >>> [psi,xval] = wavelet.wavefun(length=n)\n >>> plt.plot(xval,psi) # doctest: +ELLIPSIS\n []\n >>> plt.title(\"Gaussian Wavelet of order 8\") # doctest: +ELLIPSIS\n \n >>> plt.show() # doctest: +SKIP\n ---------\n >>> import pywt\n >>> import matplotlib.pyplot as plt\n >>> lb = -5\n >>> ub = 5\n >>> n = 1000\n >>> wavele""t = pywt.ContinuousWavelet(\"cgau4\")\n >>> wavelet.upper_bound = ub\n >>> wavelet.lower_bound = lb\n >>> [psi,xval] = wavelet.wavefun(length=n)\n >>> plt.subplot(211) # doctest: +ELLIPSIS\n \n >>> plt.plot(xval,np.real(psi)) # doctest: +ELLIPSIS\n []\n >>> plt.title(\"Real part\") # doctest: +ELLIPSIS\n \n >>> plt.subplot(212) # doctest: +ELLIPSIS\n \n >>> plt.plot(xval,np.imag(psi)) # doctest: +ELLIPSIS\n []\n >>> plt.title(\"Imaginary part\") # doctest: +ELLIPSIS\n \n >>> plt.show() # doctest: +SKIP\n\n "; static const char __pyx_k_wavelist_family_None_Returns_li[] = "\n wavelist(family=None)\n\n Returns list of available wavelet names for the given family name.\n\n Parameters\n ----------\n family : str, optional\n Short family name. If the family name is None (default) then names\n of all the built-in wavelets are returned. Otherwise the function\n returns names of wavelets that belong to the given family.\n Valid names are::\n\n 'haar', 'db', 'sym', 'coif', 'bior', 'rbio', 'dmey', 'gaus',\n 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor'\n\n kind : {'all', 'continuous', 'discrete'}, optional\n Whether to return only wavelet names of discrete or continuous\n wavelets, or all wavelets. Default is ``'all'``.\n Ignored if ``family`` is specified.\n\n Returns\n -------\n wavelist : list of str\n List of available wavelet names.\n\n Examples\n --------\n >>> import pywt\n >>> pywt.wavelist('coif')\n ['coif1', 'coif2', 'coif3', 'coif4', 'coif5', 'coif6', 'coif7', ...\n >>> pywt.wavelist(kind='continuous')\n ['cgau1', 'cgau2', 'cgau3', 'cgau4', 'cgau5', 'cgau6', 'cgau7', ...\n\n "; static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; static const char __pyx_k_ContinuousWavelet_wavefun_line_7[] = "ContinuousWavelet.wavefun (line 773)"; static const char __pyx_k_Could_not_allocate_memory_for_gi[] = "Could not allocate memory for given filter bank."; static const char __pyx_k_Creating_custom_Wavelets_using_o[] = "Creating custom Wavelets using objects that define `get_filters_coeffs` method is deprecated. The `filter_bank` parameter should define a `filter_bank` attribute instead of `get_filters_coeffs` method."; static const char __pyx_k_Cython_wrapper_for_low_level_C_w[] = "Cython wrapper for low-level C wavelet transform implementation."; static const char __pyx_k_Discrete_Meyer_FIR_Approximation[] = "Discrete Meyer (FIR Approximation)"; static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; static const char __pyx_k_Expected_filter_bank_with_4_filt[] = "Expected filter bank with 4 filters, got filter bank with %d filters."; static const char __pyx_k_Expected_list_of_4_filters_coeff[] = "Expected list of 4 filters coefficients, got %d filters."; static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; static const char __pyx_k_The_get_filters_coeffs_method_is[] = "The `get_filters_coeffs` method is deprecated. Use `filter_bank` attribute instead."; static const char __pyx_k_The_get_reverse_filters_coeffs_m[] = "The `get_reverse_filters_coeffs` method is deprecated. Use `inverse_filter_bank` attribute instead."; static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; static const char __pyx_k_Unknown_wavelet_name_s_check_wav[] = "Unknown wavelet name '%s', check wavelist() for the list of available builtin wavelets."; static const char __pyx_k_Wavelet_name_or_filter_bank_must[] = "Wavelet name or filter bank must be specified."; static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; static const char __pyx_k_All_filters_in_filter_bank_must_2[] = "All filters in filter bank must have length greater than 0."; static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; static PyObject *__pyx_n_s_ASCII; static PyObject *__pyx_kp_s_All_filters_in_filter_bank_must; static PyObject *__pyx_kp_s_All_filters_in_filter_bank_must_2; static PyObject *__pyx_n_s_AttributeError; static PyObject *__pyx_kp_s_Because_the_most_common_and_pra; static PyObject *__pyx_n_s_Biorthogonal; static PyObject *__pyx_kp_u_Biorthogonal_s; static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; static PyObject *__pyx_kp_u_CWT_False; static PyObject *__pyx_kp_u_CWT_True; static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; static PyObject *__pyx_kp_s_Cannot_index_with_type_s; static PyObject *__pyx_n_s_Coiflets; static PyObject *__pyx_kp_u_Complex_CWT_s; static PyObject *__pyx_kp_s_Complex_Gaussian_wavelets; static PyObject *__pyx_kp_s_Complex_Morlet_wavelets; static PyObject *__pyx_n_s_ContinuousWavelet; static PyObject *__pyx_kp_u_ContinuousWavelet_s; static PyObject *__pyx_kp_u_ContinuousWavelet_wavefun_line_7; static PyObject *__pyx_kp_s_Could_not_allocate_memory_for_gi; static PyObject *__pyx_kp_s_Creating_custom_Wavelets_using_o; static PyObject *__pyx_kp_s_Cython_wrapper_for_low_level_C_w; static PyObject *__pyx_kp_u_DWT_False; static PyObject *__pyx_kp_u_DWT_True; static PyObject *__pyx_n_s_Daubechies; static PyObject *__pyx_n_s_DeprecatedMODES; static PyObject *__pyx_n_s_DeprecatedMODES___getattr; static PyObject *__pyx_n_s_DeprecatedMODES___getattribute; static PyObject *__pyx_n_s_DeprecationWarning; static PyObject *__pyx_n_s_DiscreteContinuousWavelet; static PyObject *__pyx_kp_s_Discrete_Meyer_FIR_Approximation; static PyObject *__pyx_n_s_Ellipsis; static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; static PyObject *__pyx_kp_s_Expected_filter_bank_with_4_filt; static PyObject *__pyx_kp_s_Expected_list_of_4_filters_coeff; static PyObject *__pyx_kp_u_Family_name_s; static PyObject *__pyx_kp_s_Filter_bank_with_numeric_values; static PyObject *__pyx_kp_u_Filters_length_d; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; static PyObject *__pyx_kp_s_Frequency_B_Spline_wavelets; static PyObject *__pyx_n_s_Gaussian; static PyObject *__pyx_n_s_Haar; static PyObject *__pyx_n_s_IndexError; static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; static PyObject *__pyx_kp_s_Invalid_mode; static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; static PyObject *__pyx_kp_s_Invalid_short_family_name_s; static PyObject *__pyx_kp_s_Invalid_wavelet_name; static PyObject *__pyx_n_s_KeyError; static PyObject *__pyx_n_s_MODES; static PyObject *__pyx_kp_s_MODES_has_been_renamed_to_Modes; static PyObject *__pyx_n_s_MemoryError; static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; static PyObject *__pyx_kp_s_MemoryView_of_r_object; static PyObject *__pyx_kp_s_Mexican_hat_wavelet; static PyObject *__pyx_n_s_Modes; static PyObject *__pyx_n_s_Modes_2; static PyObject *__pyx_n_s_Modes___getattr; static PyObject *__pyx_n_s_Modes_from_object; static PyObject *__pyx_kp_s_Morlet_wavelet; static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; static PyObject *__pyx_n_b_O; static PyObject *__pyx_kp_u_Orthogonal_s; static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; static PyObject *__pyx_kp_s_Reverse_biorthogonal; static PyObject *__pyx_n_s_RuntimeError; static PyObject *__pyx_kp_s_Shannon_wavelets; static PyObject *__pyx_kp_u_Short_name_s; static PyObject *__pyx_n_s_Symlets; static PyObject *__pyx_kp_u_Symmetry_s; static PyObject *__pyx_kp_b_T; static PyObject *__pyx_kp_s_The_get_filters_coeffs_method_is; static PyObject *__pyx_kp_s_The_get_reverse_filters_coeffs_m; static PyObject *__pyx_n_s_TypeError; static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; static PyObject *__pyx_kp_s_Unknown_mode_name_s; static PyObject *__pyx_kp_s_Unknown_wavelet_name_s_check_wav; static PyObject *__pyx_kp_s_Unrecognized_value_for_kind_s; static PyObject *__pyx_n_s_ValueError; static PyObject *__pyx_n_s_Wavelet; static PyObject *__pyx_kp_s_Wavelet_name_or_filter_bank_must; static PyObject *__pyx_kp_u_Wavelet_s; static PyObject *__pyx_kp_u_Wavelet_wavefun_line_521; static PyObject *__pyx_kp_b__10; static PyObject *__pyx_kp_u__10; static PyObject *__pyx_n_s__2; static PyObject *__pyx_kp_u__22; static PyObject *__pyx_kp_b__45; static PyObject *__pyx_kp_b__46; static PyObject *__pyx_kp_b__47; static PyObject *__pyx_kp_u__48; static PyObject *__pyx_n_s_all; static PyObject *__pyx_n_s_all_2; static PyObject *__pyx_n_s_allocate_buffer; static PyObject *__pyx_kp_s_anti_symmetric; static PyObject *__pyx_n_s_append; static PyObject *__pyx_n_s_arr; static PyObject *__pyx_n_s_asarray; static PyObject *__pyx_n_s_asymmetric; static PyObject *__pyx_n_s_attr; static PyObject *__pyx_n_s_attr_deprecation_msg; static PyObject *__pyx_n_s_base; static PyObject *__pyx_n_s_bior; static PyObject *__pyx_kp_s_bior1_1; static PyObject *__pyx_kp_s_bior1_3; static PyObject *__pyx_kp_s_bior1_5; static PyObject *__pyx_kp_s_bior2_2; static PyObject *__pyx_kp_s_bior2_4; static PyObject *__pyx_kp_s_bior2_6; static PyObject *__pyx_kp_s_bior2_8; static PyObject *__pyx_kp_s_bior3_1; static PyObject *__pyx_kp_s_bior3_3; static PyObject *__pyx_kp_s_bior3_5; static PyObject *__pyx_kp_s_bior3_7; static PyObject *__pyx_kp_s_bior3_9; static PyObject *__pyx_kp_s_bior4_4; static PyObject *__pyx_kp_s_bior5_5; static PyObject *__pyx_kp_s_bior6_8; static PyObject *__pyx_n_s_biorthogonal; static PyObject *__pyx_n_s_c; static PyObject *__pyx_n_u_c; static PyObject *__pyx_n_s_cgau; static PyObject *__pyx_n_s_cgau1; static PyObject *__pyx_n_s_cgau2; static PyObject *__pyx_n_s_cgau3; static PyObject *__pyx_n_s_cgau4; static PyObject *__pyx_n_s_cgau5; static PyObject *__pyx_n_s_cgau6; static PyObject *__pyx_n_s_cgau7; static PyObject *__pyx_n_s_cgau8; static PyObject *__pyx_n_s_check_kind; static PyObject *__pyx_n_s_class; static PyObject *__pyx_n_s_classname; static PyObject *__pyx_n_s_cmor; static PyObject *__pyx_n_s_coif; static PyObject *__pyx_n_s_coif1; static PyObject *__pyx_n_s_coif10; static PyObject *__pyx_n_s_coif11; static PyObject *__pyx_n_s_coif12; static PyObject *__pyx_n_s_coif13; static PyObject *__pyx_n_s_coif14; static PyObject *__pyx_n_s_coif15; static PyObject *__pyx_n_s_coif16; static PyObject *__pyx_n_s_coif17; static PyObject *__pyx_n_s_coif2; static PyObject *__pyx_n_s_coif3; static PyObject *__pyx_n_s_coif4; static PyObject *__pyx_n_s_coif5; static PyObject *__pyx_n_s_coif6; static PyObject *__pyx_n_s_coif7; static PyObject *__pyx_n_s_coif8; static PyObject *__pyx_n_s_coif9; static PyObject *__pyx_n_s_complex_cwt; static PyObject *__pyx_n_s_concatenate; static PyObject *__pyx_n_s_constant; static PyObject *__pyx_kp_s_contiguous_and_direct; static PyObject *__pyx_kp_s_contiguous_and_indirect; static PyObject *__pyx_n_s_continuous; static PyObject *__pyx_n_s_cpd; static PyObject *__pyx_n_s_db; static PyObject *__pyx_n_s_db1; static PyObject *__pyx_n_s_db10; static PyObject *__pyx_n_s_db11; static PyObject *__pyx_n_s_db12; static PyObject *__pyx_n_s_db13; static PyObject *__pyx_n_s_db14; static PyObject *__pyx_n_s_db15; static PyObject *__pyx_n_s_db16; static PyObject *__pyx_n_s_db17; static PyObject *__pyx_n_s_db18; static PyObject *__pyx_n_s_db19; static PyObject *__pyx_n_s_db2; static PyObject *__pyx_n_s_db20; static PyObject *__pyx_n_s_db21; static PyObject *__pyx_n_s_db22; static PyObject *__pyx_n_s_db23; static PyObject *__pyx_n_s_db24; static PyObject *__pyx_n_s_db25; static PyObject *__pyx_n_s_db26; static PyObject *__pyx_n_s_db27; static PyObject *__pyx_n_s_db28; static PyObject *__pyx_n_s_db29; static PyObject *__pyx_n_s_db3; static PyObject *__pyx_n_s_db30; static PyObject *__pyx_n_s_db31; static PyObject *__pyx_n_s_db32; static PyObject *__pyx_n_s_db33; static PyObject *__pyx_n_s_db34; static PyObject *__pyx_n_s_db35; static PyObject *__pyx_n_s_db36; static PyObject *__pyx_n_s_db37; static PyObject *__pyx_n_s_db38; static PyObject *__pyx_n_s_db4; static PyObject *__pyx_n_s_db5; static PyObject *__pyx_n_s_db6; static PyObject *__pyx_n_s_db7; static PyObject *__pyx_n_s_db8; static PyObject *__pyx_n_s_db9; static PyObject *__pyx_n_s_dec_hi; static PyObject *__pyx_n_s_dec_len; static PyObject *__pyx_n_s_dec_lo; static PyObject *__pyx_n_s_discrete; static PyObject *__pyx_n_s_dmey; static PyObject *__pyx_n_s_doc; static PyObject *__pyx_n_s_dtype; static PyObject *__pyx_n_s_dtype_is_object; static PyObject *__pyx_n_s_encode; static PyObject *__pyx_n_s_enumerate; static PyObject *__pyx_n_s_error; static PyObject *__pyx_n_s_families; static PyObject *__pyx_kp_u_families_line_235; static PyObject *__pyx_kp_u_families_short_True_Returns_a_l; static PyObject *__pyx_n_s_family; static PyObject *__pyx_n_s_family_code; static PyObject *__pyx_n_s_family_name; static PyObject *__pyx_n_s_family_number; static PyObject *__pyx_n_s_fbsp; static PyObject *__pyx_n_s_filter_bank; static PyObject *__pyx_n_s_flags; static PyObject *__pyx_n_s_float32; static PyObject *__pyx_n_s_float64; static PyObject *__pyx_n_s_format; static PyObject *__pyx_n_s_fortran; static PyObject *__pyx_n_u_fortran; static PyObject *__pyx_n_s_from_object; static PyObject *__pyx_n_s_gaus; static PyObject *__pyx_n_s_gaus1; static PyObject *__pyx_n_s_gaus2; static PyObject *__pyx_n_s_gaus3; static PyObject *__pyx_n_s_gaus4; static PyObject *__pyx_n_s_gaus5; static PyObject *__pyx_n_s_gaus6; static PyObject *__pyx_n_s_gaus7; static PyObject *__pyx_n_s_gaus8; static PyObject *__pyx_n_s_get_filters_coeffs; static PyObject *__pyx_n_s_getattr; static PyObject *__pyx_n_s_getattribute; static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; static PyObject *__pyx_n_s_haar; static PyObject *__pyx_n_s_id; static PyObject *__pyx_n_s_import; static PyObject *__pyx_n_s_index; static PyObject *__pyx_n_s_inverse_filter_bank; static PyObject *__pyx_n_s_is_discrete; static PyObject *__pyx_n_s_itemsize; static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; static PyObject *__pyx_n_s_join; static PyObject *__pyx_n_s_keep; static PyObject *__pyx_n_s_keep_length; static PyObject *__pyx_n_s_kind; static PyObject *__pyx_n_s_left_bound; static PyObject *__pyx_n_s_length; static PyObject *__pyx_n_s_level; static PyObject *__pyx_n_s_linspace; static PyObject *__pyx_n_s_lower; static PyObject *__pyx_n_s_m; static PyObject *__pyx_n_s_main; static PyObject *__pyx_kp_s_media_Data1_src_repositories_my; static PyObject *__pyx_n_s_memview; static PyObject *__pyx_n_s_metaclass; static PyObject *__pyx_n_s_mexh; static PyObject *__pyx_n_s_mode; static PyObject *__pyx_n_s_modes; static PyObject *__pyx_n_s_module; static PyObject *__pyx_n_s_module_2; static PyObject *__pyx_kp_s_module_classname_name_name; static PyObject *__pyx_kp_s_module_classname_name_name_filt; static PyObject *__pyx_n_s_morl; static PyObject *__pyx_n_s_msg; static PyObject *__pyx_n_s_name; static PyObject *__pyx_n_s_name_2; static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; static PyObject *__pyx_n_s_ndim; static PyObject *__pyx_kp_s_near_symmetric; static PyObject *__pyx_n_s_new; static PyObject *__pyx_n_s_new_mode; static PyObject *__pyx_n_s_np; static PyObject *__pyx_n_s_numpy; static PyObject *__pyx_n_s_obj; static PyObject *__pyx_n_s_object; static PyObject *__pyx_n_s_old; static PyObject *__pyx_kp_s_old_has_been_renamed_to_new_and; static PyObject *__pyx_n_s_old_modes; static PyObject *__pyx_n_s_orthogonal; static PyObject *__pyx_n_s_pack; static PyObject *__pyx_n_s_per; static PyObject *__pyx_n_s_periodic; static PyObject *__pyx_n_s_periodization; static PyObject *__pyx_n_s_ppd; static PyObject *__pyx_n_s_prepare; static PyObject *__pyx_n_s_pywt__extensions__pywt; static PyObject *__pyx_n_s_pyx_getbuffer; static PyObject *__pyx_n_s_pyx_vtable; static PyObject *__pyx_n_s_qualname; static PyObject *__pyx_n_s_range; static PyObject *__pyx_n_s_rbio; static PyObject *__pyx_kp_s_rbio1_1; static PyObject *__pyx_kp_s_rbio1_3; static PyObject *__pyx_kp_s_rbio1_5; static PyObject *__pyx_kp_s_rbio2_2; static PyObject *__pyx_kp_s_rbio2_4; static PyObject *__pyx_kp_s_rbio2_6; static PyObject *__pyx_kp_s_rbio2_8; static PyObject *__pyx_kp_s_rbio3_1; static PyObject *__pyx_kp_s_rbio3_3; static PyObject *__pyx_kp_s_rbio3_5; static PyObject *__pyx_kp_s_rbio3_7; static PyObject *__pyx_kp_s_rbio3_9; static PyObject *__pyx_kp_s_rbio4_4; static PyObject *__pyx_kp_s_rbio5_5; static PyObject *__pyx_kp_s_rbio6_8; static PyObject *__pyx_n_s_rec_hi; static PyObject *__pyx_n_s_rec_lo; static PyObject *__pyx_n_s_reflect; static PyObject *__pyx_n_s_rstrip; static PyObject *__pyx_kp_u_s; static PyObject *__pyx_n_s_self; static PyObject *__pyx_n_s_shan; static PyObject *__pyx_n_s_shape; static PyObject *__pyx_n_s_short; static PyObject *__pyx_n_s_short_family_name; static PyObject *__pyx_n_s_size; static PyObject *__pyx_n_s_smooth; static PyObject *__pyx_n_s_sort; static PyObject *__pyx_n_s_sorting_list; static PyObject *__pyx_n_s_sp1; static PyObject *__pyx_n_s_start; static PyObject *__pyx_n_s_startswith; static PyObject *__pyx_n_s_step; static PyObject *__pyx_n_s_stop; static PyObject *__pyx_kp_s_strided_and_direct; static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; static PyObject *__pyx_kp_s_strided_and_indirect; static PyObject *__pyx_n_s_struct; static PyObject *__pyx_n_s_sym; static PyObject *__pyx_n_s_sym10; static PyObject *__pyx_n_s_sym11; static PyObject *__pyx_n_s_sym12; static PyObject *__pyx_n_s_sym13; static PyObject *__pyx_n_s_sym14; static PyObject *__pyx_n_s_sym15; static PyObject *__pyx_n_s_sym16; static PyObject *__pyx_n_s_sym17; static PyObject *__pyx_n_s_sym18; static PyObject *__pyx_n_s_sym19; static PyObject *__pyx_n_s_sym2; static PyObject *__pyx_n_s_sym20; static PyObject *__pyx_n_s_sym3; static PyObject *__pyx_n_s_sym4; static PyObject *__pyx_n_s_sym5; static PyObject *__pyx_n_s_sym6; static PyObject *__pyx_n_s_sym7; static PyObject *__pyx_n_s_sym8; static PyObject *__pyx_n_s_sym9; static PyObject *__pyx_n_s_symmetric; static PyObject *__pyx_n_s_symmetry; static PyObject *__pyx_n_s_test; static PyObject *__pyx_kp_s_unable_to_allocate_array_data; static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; static PyObject *__pyx_n_s_unknown; static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; static PyObject *__pyx_n_s_unpack; static PyObject *__pyx_n_s_warn; static PyObject *__pyx_n_s_warnings; static PyObject *__pyx_kp_u_wavefun_self_level_8_Calculates; static PyObject *__pyx_kp_u_wavefun_self_level_8_length_Non; static PyObject *__pyx_n_s_wavelet; static PyObject *__pyx_n_s_wavelet_from_object; static PyObject *__pyx_n_s_wavelets; static PyObject *__pyx_n_s_wavelist; static PyObject *__pyx_kp_u_wavelist_family_None_Returns_li; static PyObject *__pyx_kp_u_wavelist_line_163; static PyObject *__pyx_n_s_wavelist_locals__check_kind; static PyObject *__pyx_n_s_x; static PyObject *__pyx_n_s_zero; static PyObject *__pyx_n_s_zeros; static PyObject *__pyx_n_s_zpd; static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_6_Modes_from_object(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, PyObject *__pyx_v_mode); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_6_Modes_2__getattr__(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, PyObject *__pyx_v_mode); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_16_DeprecatedMODES___getattribute__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_16_DeprecatedMODES_2__getattr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_8wavelist__check_kind(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name, PyObject *__pyx_v_kind); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_wavelist(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_family, PyObject *__pyx_v_kind); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_2families(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_short); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_4DiscreteContinuousWavelet(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name, PyObject *__pyx_v_filter_bank); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet___cinit__(struct WaveletObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_filter_bank); /* proto */ static void __pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_2__dealloc__(struct WaveletObject *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_4__len__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_6dec_lo___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_6dec_hi___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_6rec_lo___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_6rec_hi___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_7rec_len___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_7dec_len___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_13family_number___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_11family_name___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_17short_family_name___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_10orthogonal___get__(struct WaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_10orthogonal_2__set__(struct WaveletObject *__pyx_v_self, int __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_12biorthogonal___get__(struct WaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_12biorthogonal_2__set__(struct WaveletObject *__pyx_v_self, int __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_8symmetry___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_21vanishing_moments_psi___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_21vanishing_moments_phi___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_11filter_bank___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_6get_filters_coeffs(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_19inverse_filter_bank___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_8get_reverse_filters_coeffs(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_10wavefun(struct WaveletObject *__pyx_v_self, int __pyx_v_level); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_12__str__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_14__repr__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_4name___get__(struct WaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_7Wavelet_6number___get__(struct WaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet___cinit__(struct ContinuousWaveletObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_dtype); /* proto */ static void __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_2__dealloc__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_13family_number___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11family_name___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_17short_family_name___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10orthogonal___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10orthogonal_2__set__(struct ContinuousWaveletObject *__pyx_v_self, int __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_12biorthogonal___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_12biorthogonal_2__set__(struct ContinuousWaveletObject *__pyx_v_self, int __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11complex_cwt___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11complex_cwt_2__set__(struct ContinuousWaveletObject *__pyx_v_self, int __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11lower_bound___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11lower_bound_2__set__(struct ContinuousWaveletObject *__pyx_v_self, float __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11upper_bound___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11upper_bound_2__set__(struct ContinuousWaveletObject *__pyx_v_self, float __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_16center_frequency___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_16center_frequency_2__set__(struct ContinuousWaveletObject *__pyx_v_self, float __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_19bandwidth_frequency___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_19bandwidth_frequency_2__set__(struct ContinuousWaveletObject *__pyx_v_self, float __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10fbsp_order___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static int __pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10fbsp_order_2__set__(struct ContinuousWaveletObject *__pyx_v_self, unsigned int __pyx_v_value); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_8symmetry___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_4wavefun(struct ContinuousWaveletObject *__pyx_v_self, int __pyx_v_level, PyObject *__pyx_v_length); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_6__str__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_8__repr__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_4name___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_6number___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_17ContinuousWavelet_2dt___get__(struct ContinuousWaveletObject *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_6wavelet_from_object(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_wavelet); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_8_check_dtype(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_data); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_5_pywt_10keep(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_arr, PyObject *__pyx_v_keep_length); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); 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int __pyx_v_negative_step; int __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":813 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":815 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":816 * * if start < 0: * start += shape # <<<<<<<<<<<<<< * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":815 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ } /* "View.MemoryView":817 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ __pyx_t_1 = (0 <= __pyx_v_start); if (__pyx_t_1) { __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); } __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":818 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) __PYX_ERR(2, 818, __pyx_L1_error) /* "View.MemoryView":817 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ } /* "View.MemoryView":813 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ goto __pyx_L3; } /* "View.MemoryView":821 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< * * if have_step and step == 0: */ /*else*/ { __pyx_t_1 = ((__pyx_v_have_step != 0) != 0); if (__pyx_t_1) { } else { __pyx_t_2 = __pyx_t_1; goto __pyx_L6_bool_binop_done; } __pyx_t_1 = ((__pyx_v_step < 0) != 0); __pyx_t_2 = __pyx_t_1; __pyx_L6_bool_binop_done:; __pyx_v_negative_step = __pyx_t_2; /* "View.MemoryView":823 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ __pyx_t_1 = (__pyx_v_have_step != 0); if (__pyx_t_1) { } else { __pyx_t_2 = __pyx_t_1; goto __pyx_L9_bool_binop_done; } __pyx_t_1 = ((__pyx_v_step == 0) != 0); __pyx_t_2 = __pyx_t_1; __pyx_L9_bool_binop_done:; if (__pyx_t_2) { /* "View.MemoryView":824 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) __PYX_ERR(2, 824, __pyx_L1_error) /* "View.MemoryView":823 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ } /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { /* "View.MemoryView":828 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":829 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< * if start < 0: * start = 0 */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":830 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":831 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< * elif start >= shape: * if negative_step: */ __pyx_v_start = 0; /* "View.MemoryView":830 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ } /* "View.MemoryView":828 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ goto __pyx_L12; } /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":833 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":834 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = shape */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":833 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L14; } /* "View.MemoryView":836 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ /*else*/ { __pyx_v_start = __pyx_v_shape; } __pyx_L14:; /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ } __pyx_L12:; /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ goto __pyx_L11; } /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":839 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L15; } /* "View.MemoryView":841 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ /*else*/ { __pyx_v_start = 0; } __pyx_L15:; } __pyx_L11:; /* "View.MemoryView":843 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { /* "View.MemoryView":844 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":845 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< * if stop < 0: * stop = 0 */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); /* "View.MemoryView":846 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":847 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< * elif stop > shape: * stop = shape */ __pyx_v_stop = 0; /* "View.MemoryView":846 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ } /* "View.MemoryView":844 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ goto __pyx_L17; } /* "View.MemoryView":848 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":849 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_stop = __pyx_v_shape; /* "View.MemoryView":848 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ } __pyx_L17:; /* "View.MemoryView":843 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ goto __pyx_L16; } /* "View.MemoryView":851 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":852 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< * else: * stop = shape */ __pyx_v_stop = -1L; /* "View.MemoryView":851 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ goto __pyx_L19; } /* "View.MemoryView":854 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< * * if not have_step: */ /*else*/ { __pyx_v_stop = __pyx_v_shape; } __pyx_L19:; } __pyx_L16:; /* "View.MemoryView":856 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":857 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< * * */ __pyx_v_step = 1; /* "View.MemoryView":856 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ } /* "View.MemoryView":861 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":863 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":864 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); /* "View.MemoryView":863 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ } /* "View.MemoryView":866 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":867 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< * * */ __pyx_v_new_shape = 0; /* "View.MemoryView":866 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ } /* "View.MemoryView":870 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":871 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< * dst.suboffsets[new_ndim] = suboffset * */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; /* "View.MemoryView":872 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< * * */ (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; } __pyx_L3:; /* "View.MemoryView":875 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":876 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< * else: * dst.suboffsets[suboffset_dim[0]] += start * stride */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); /* "View.MemoryView":875 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ goto __pyx_L23; } /* "View.MemoryView":878 * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< * * if suboffset >= 0: */ /*else*/ { __pyx_t_3 = (__pyx_v_suboffset_dim[0]); (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride)); } __pyx_L23:; /* "View.MemoryView":880 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< * if not is_slice: * if new_ndim == 0: */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":881 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset */ __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":882 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< * dst.data = ( dst.data)[0] + suboffset * else: */ __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":883 * if not is_slice: * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " */ __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); /* "View.MemoryView":882 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< * dst.data = ( dst.data)[0] + suboffset * else: */ goto __pyx_L26; } /* "View.MemoryView":885 * dst.data = ( dst.data)[0] + suboffset * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<< * "must be indexed and not sliced", dim) * else: */ /*else*/ { /* "View.MemoryView":886 * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< * else: * suboffset_dim[0] = new_ndim */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) __PYX_ERR(2, 885, __pyx_L1_error) } __pyx_L26:; /* "View.MemoryView":881 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset */ goto __pyx_L25; } /* "View.MemoryView":888 * "must be indexed and not sliced", dim) * else: * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< * * return 0 */ /*else*/ { (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim; 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if (__pyx_t_1) { /* "View.MemoryView":1094 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< * else: * return arg */ __pyx_r = (-__pyx_v_arg); goto __pyx_L0; /* "View.MemoryView":1093 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg * else: */ } /* "View.MemoryView":1096 * return -arg * else: * return arg # <<<<<<<<<<<<<< * * @cname('__pyx_get_best_slice_order') */ /*else*/ { __pyx_r = __pyx_v_arg; goto __pyx_L0; } /* "View.MemoryView":1092 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1099 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1104 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1105 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1107 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1108 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1109 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1110 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * for i in range(ndim): */ goto __pyx_L4_break; /* "View.MemoryView":1108 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ } } __pyx_L4_break:; /* "View.MemoryView":1112 * break * * for i in range(ndim): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1113 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1114 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1115 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): */ goto __pyx_L7_break; /* "View.MemoryView":1113 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ } } __pyx_L7_break:; /* "View.MemoryView":1117 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1118 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< * else: * return 'F' */ __pyx_r = 'C'; goto __pyx_L0; /* "View.MemoryView":1117 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ } /* "View.MemoryView":1120 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< * * @cython.cdivision(True) */ /*else*/ { __pyx_r = 'F'; goto __pyx_L0; } /* "View.MemoryView":1099 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1123 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; /* "View.MemoryView":1130 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1131 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1132 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1133 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1135 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0); if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } /* "View.MemoryView":1137 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize * dst_extent) * else: */ __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); if (__pyx_t_2) { __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); } __pyx_t_3 = (__pyx_t_2 != 0); __pyx_t_1 = __pyx_t_3; __pyx_L5_bool_binop_done:; /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ if (__pyx_t_1) { /* "View.MemoryView":1138 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)); /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ goto __pyx_L4; } /* "View.MemoryView":1140 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize) * src_data += src_stride */ /*else*/ { __pyx_t_4 = __pyx_v_dst_extent; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1141 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); /* "View.MemoryView":1142 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * else: */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); 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if (__pyx_t_2) { /* "View.MemoryView":1300 * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< * * if direct_copy: */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); /* "View.MemoryView":1299 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(dst, 'F', ndim) * */ } __pyx_L12:; /* "View.MemoryView":1302 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { /* "View.MemoryView":1304 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1305 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) */ memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)); /* "View.MemoryView":1306 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * free(tmpdata) * return 0 */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1307 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1308 * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; goto __pyx_L0; /* "View.MemoryView":1302 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ } /* "View.MemoryView":1294 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< * * */ } /* "View.MemoryView":1310 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); } __pyx_t_7 = (__pyx_t_2 != 0); if (__pyx_t_7) { /* "View.MemoryView":1313 * * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) * */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == 0)) __PYX_ERR(2, 1313, __pyx_L1_error) /* "View.MemoryView":1314 * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == 0)) __PYX_ERR(2, 1314, __pyx_L1_error) /* "View.MemoryView":1310 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ } /* "View.MemoryView":1316 * transpose_memslice(&dst) * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1317 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1318 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1320 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1321 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r = 0; goto __pyx_L0; /* "View.MemoryView":1252 * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< * __Pyx_memviewslice dst, * int src_ndim, int dst_ndim, */ /* function exit code */ __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1324 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< * int ndim, * int ndim_other) nogil: */ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { int __pyx_v_i; int __pyx_v_offset; int __pyx_t_1; int __pyx_t_2; /* "View.MemoryView":1328 * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); /* "View.MemoryView":1330 * cdef int offset = ndim_other - ndim * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1331 * * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< * mslice.strides[i + offset] = mslice.strides[i] * mslice.suboffsets[i + offset] = mslice.suboffsets[i] */ (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); /* "View.MemoryView":1332 * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< * mslice.suboffsets[i + offset] = mslice.suboffsets[i] * */ (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1333 * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< * * for i in range(offset): */ (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); } /* "View.MemoryView":1335 * mslice.suboffsets[i + offset] = mslice.suboffsets[i] * * for i in range(offset): # <<<<<<<<<<<<<< * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] */ __pyx_t_1 = __pyx_v_offset; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1336 * * for i in range(offset): * mslice.shape[i] = 1 # <<<<<<<<<<<<<< * mslice.strides[i] = mslice.strides[0] * mslice.suboffsets[i] = -1 */ (__pyx_v_mslice->shape[__pyx_v_i]) = 1; /* "View.MemoryView":1337 * for i in range(offset): * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< * mslice.suboffsets[i] = -1 * */ (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); /* "View.MemoryView":1338 * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * */ (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; } /* "View.MemoryView":1324 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< * int ndim, * int ndim_other) nogil: */ /* function exit code */ } /* "View.MemoryView":1346 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: * */ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; /* "View.MemoryView":1350 * * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) */ __pyx_t_1 = (__pyx_v_dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":1351 * * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<< * dst.strides, ndim, inc) * */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); /* "View.MemoryView":1350 * * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) */ } /* "View.MemoryView":1346 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: * */ /* function exit code */ } /* "View.MemoryView":1355 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * bint inc) with gil: */ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { __Pyx_RefNannyDeclarations #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); /* "View.MemoryView":1358 * Py_ssize_t *strides, int ndim, * bint inc) with gil: * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice') */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); /* "View.MemoryView":1355 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * bint inc) with gil: */ /* function exit code */ __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } /* "View.MemoryView":1361 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): * cdef Py_ssize_t i */ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; Py_ssize_t __pyx_t_2; int __pyx_t_3; __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); /* "View.MemoryView":1365 * cdef Py_ssize_t i * * for i in range(shape[0]): # <<<<<<<<<<<<<< * if ndim == 1: * if inc: */ __pyx_t_1 = (__pyx_v_shape[0]); 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/* "View.MemoryView":1366 * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< * if inc: * Py_INCREF(( data)[0]) */ goto __pyx_L5; } /* "View.MemoryView":1372 * Py_DECREF(( data)[0]) * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< * ndim - 1, inc) * */ /*else*/ { /* "View.MemoryView":1373 * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, * ndim - 1, inc) # <<<<<<<<<<<<<< * * data += strides[0] */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); } __pyx_L5:; /* "View.MemoryView":1375 * ndim - 1, inc) * * data += strides[0] # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); } /* "View.MemoryView":1361 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): * cdef Py_ssize_t i */ /* function exit code */ __Pyx_RefNannyFinishContext(); 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tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->number); p->number = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_dec_lo(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_6dec_lo_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_dec_hi(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_6dec_hi_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_rec_lo(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_6rec_lo_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_rec_hi(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_6rec_hi_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_rec_len(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_7rec_len_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_dec_len(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_7dec_len_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_family_number(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_13family_number_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_family_name(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_11family_name_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_short_family_name(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_17short_family_name_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_orthogonal(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_10orthogonal_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_7Wavelet_orthogonal(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_10orthogonal_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_biorthogonal(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_12biorthogonal_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_7Wavelet_biorthogonal(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_12biorthogonal_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_symmetry(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_8symmetry_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_vanishing_moments_psi(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_21vanishing_moments_psi_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_vanishing_moments_phi(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_21vanishing_moments_phi_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_filter_bank(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_11filter_bank_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_inverse_filter_bank(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_19inverse_filter_bank_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_name(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_4name_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_number(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_6number_1__get__(o); } static PyMethodDef __pyx_methods_4pywt_11_extensions_5_pywt_Wavelet[] = { {"get_filters_coeffs", (PyCFunction)__pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_7get_filters_coeffs, METH_NOARGS, 0}, {"get_reverse_filters_coeffs", (PyCFunction)__pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_9get_reverse_filters_coeffs, METH_NOARGS, 0}, {"wavefun", (PyCFunction)__pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_11wavefun, METH_VARARGS|METH_KEYWORDS, __pyx_doc_4pywt_11_extensions_5_pywt_7Wavelet_10wavefun}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_4pywt_11_extensions_5_pywt_Wavelet[] = { {(char *)"dec_lo", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_dec_lo, 0, (char *)"Lowpass decomposition filter", 0}, {(char *)"dec_hi", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_dec_hi, 0, (char *)"Highpass decomposition filter", 0}, {(char *)"rec_lo", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_rec_lo, 0, (char *)"Lowpass reconstruction filter", 0}, {(char *)"rec_hi", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_rec_hi, 0, (char *)"Highpass reconstruction filter", 0}, {(char *)"rec_len", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_rec_len, 0, (char *)"Reconstruction filters length", 0}, {(char *)"dec_len", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_dec_len, 0, (char *)"Decomposition filters length", 0}, {(char *)"family_number", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_family_number, 0, (char *)"Wavelet family number", 0}, {(char *)"family_name", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_family_name, 0, (char *)"Wavelet family name", 0}, {(char *)"short_family_name", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_short_family_name, 0, (char *)"Short wavelet family name", 0}, {(char *)"orthogonal", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_orthogonal, __pyx_setprop_4pywt_11_extensions_5_pywt_7Wavelet_orthogonal, (char *)"Is orthogonal", 0}, {(char *)"biorthogonal", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_biorthogonal, __pyx_setprop_4pywt_11_extensions_5_pywt_7Wavelet_biorthogonal, (char *)"Is biorthogonal", 0}, {(char *)"symmetry", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_symmetry, 0, (char *)"Wavelet symmetry", 0}, {(char *)"vanishing_moments_psi", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_vanishing_moments_psi, 0, (char *)"Number of vanishing moments for wavelet function", 0}, {(char *)"vanishing_moments_phi", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_vanishing_moments_phi, 0, (char *)"Number of vanishing moments for scaling function", 0}, {(char *)"filter_bank", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_filter_bank, 0, (char *)"Returns tuple of wavelet filters coefficients\n (dec_lo, dec_hi, rec_lo, rec_hi)\n ", 0}, {(char *)"inverse_filter_bank", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_inverse_filter_bank, 0, (char *)"Tuple of inverse wavelet filters coefficients\n (rec_lo[::-1], rec_hi[::-1], dec_lo[::-1], dec_hi[::-1])\n ", 0}, {(char *)"name", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_name, 0, (char *)0, 0}, {(char *)"number", __pyx_getprop_4pywt_11_extensions_5_pywt_7Wavelet_number, 0, (char *)0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_Wavelet = { __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_5__len__, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ 0, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_Wavelet = { __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_5__len__, /*mp_length*/ 0, /*mp_subscript*/ 0, /*mp_ass_subscript*/ }; DL_EXPORT(PyTypeObject) WaveletType = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._pywt.Wavelet", /*tp_name*/ sizeof(struct WaveletObject), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_4pywt_11_extensions_5_pywt_Wavelet, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_15__repr__, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_Wavelet, /*tp_as_sequence*/ &__pyx_tp_as_mapping_Wavelet, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_pw_4pywt_11_extensions_5_pywt_7Wavelet_13__str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ "\n Wavelet(name, filter_bank=None) object describe properties of\n a wavelet identified by name.\n\n In order to use a built-in wavelet the parameter name must be\n a valid name from the wavelist() list.\n To create a custom wavelet object, filter_bank parameter must\n be specified. It can be either a list of four filters or an object\n that a `filter_bank` attribute which returns a list of four\n filters - just like the Wavelet instance itself.\n\n ", /*tp_doc*/ __pyx_tp_traverse_4pywt_11_extensions_5_pywt_Wavelet, /*tp_traverse*/ __pyx_tp_clear_4pywt_11_extensions_5_pywt_Wavelet, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_4pywt_11_extensions_5_pywt_Wavelet, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_4pywt_11_extensions_5_pywt_Wavelet, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_4pywt_11_extensions_5_pywt_Wavelet, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static PyObject *__pyx_tp_new_4pywt_11_extensions_5_pywt_ContinuousWavelet(PyTypeObject *t, PyObject *a, PyObject *k) { struct ContinuousWaveletObject *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct ContinuousWaveletObject *)o); p->name = Py_None; Py_INCREF(Py_None); p->number = Py_None; Py_INCREF(Py_None); p->dt = Py_None; Py_INCREF(Py_None); if (unlikely(__pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_1__cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_4pywt_11_extensions_5_pywt_ContinuousWavelet(PyObject *o) { struct ContinuousWaveletObject *p = (struct ContinuousWaveletObject *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_3__dealloc__(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->name); Py_CLEAR(p->number); Py_CLEAR(p->dt); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_4pywt_11_extensions_5_pywt_ContinuousWavelet(PyObject *o, visitproc v, void *a) { int e; struct ContinuousWaveletObject *p = (struct ContinuousWaveletObject *)o; if (p->name) { e = (*v)(p->name, a); if (e) return e; } if (p->number) { e = (*v)(p->number, a); if (e) return e; } if (p->dt) { e = (*v)(p->dt, a); if (e) return e; } return 0; } static int __pyx_tp_clear_4pywt_11_extensions_5_pywt_ContinuousWavelet(PyObject *o) { PyObject* tmp; struct ContinuousWaveletObject *p = (struct ContinuousWaveletObject *)o; tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->number); p->number = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->dt); p->dt = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_family_number(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_13family_number_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_family_name(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11family_name_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_short_family_name(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_17short_family_name_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_orthogonal(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10orthogonal_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_orthogonal(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10orthogonal_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_biorthogonal(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_12biorthogonal_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_biorthogonal(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_12biorthogonal_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_complex_cwt(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11complex_cwt_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_complex_cwt(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11complex_cwt_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_lower_bound(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11lower_bound_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_lower_bound(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11lower_bound_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_upper_bound(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11upper_bound_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_upper_bound(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_11upper_bound_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_center_frequency(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_16center_frequency_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_center_frequency(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_16center_frequency_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_bandwidth_frequency(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_19bandwidth_frequency_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_bandwidth_frequency(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_19bandwidth_frequency_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_fbsp_order(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10fbsp_order_1__get__(o); } static int __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_fbsp_order(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) { if (v) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_10fbsp_order_3__set__(o, v); } else { PyErr_SetString(PyExc_NotImplementedError, "__del__"); return -1; } } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_symmetry(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_8symmetry_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_name(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_4name_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_number(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_6number_1__get__(o); } static PyObject *__pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_dt(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_2dt_1__get__(o); } static PyMethodDef __pyx_methods_4pywt_11_extensions_5_pywt_ContinuousWavelet[] = { {"wavefun", (PyCFunction)__pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_5wavefun, METH_VARARGS|METH_KEYWORDS, __pyx_doc_4pywt_11_extensions_5_pywt_17ContinuousWavelet_4wavefun}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_4pywt_11_extensions_5_pywt_ContinuousWavelet[] = { {(char *)"family_number", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_family_number, 0, (char *)"Wavelet family number", 0}, {(char *)"family_name", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_family_name, 0, (char *)"Wavelet family name", 0}, {(char *)"short_family_name", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_short_family_name, 0, (char *)"Short wavelet family name", 0}, {(char *)"orthogonal", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_orthogonal, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_orthogonal, (char *)"Is orthogonal", 0}, {(char *)"biorthogonal", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_biorthogonal, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_biorthogonal, (char *)"Is biorthogonal", 0}, {(char *)"complex_cwt", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_complex_cwt, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_complex_cwt, (char *)"CWT is complex", 0}, {(char *)"lower_bound", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_lower_bound, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_lower_bound, (char *)"Lower Bound", 0}, {(char *)"upper_bound", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_upper_bound, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_upper_bound, (char *)"Upper Bound", 0}, {(char *)"center_frequency", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_center_frequency, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_center_frequency, (char *)"Center frequency (shan, fbsp, cmor)", 0}, {(char *)"bandwidth_frequency", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_bandwidth_frequency, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_bandwidth_frequency, (char *)"Bandwidth frequency (shan, fbsp, cmor)", 0}, {(char *)"fbsp_order", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_fbsp_order, __pyx_setprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_fbsp_order, (char *)"order parameter for fbsp", 0}, {(char *)"symmetry", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_symmetry, 0, (char *)"Wavelet symmetry", 0}, {(char *)"name", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_name, 0, (char *)0, 0}, {(char *)"number", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_number, 0, (char *)0, 0}, {(char *)"dt", __pyx_getprop_4pywt_11_extensions_5_pywt_17ContinuousWavelet_dt, 0, (char *)0, 0}, {0, 0, 0, 0, 0} }; DL_EXPORT(PyTypeObject) ContinuousWaveletType = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._pywt.ContinuousWavelet", /*tp_name*/ sizeof(struct ContinuousWaveletObject), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_4pywt_11_extensions_5_pywt_ContinuousWavelet, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_9__repr__, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_pw_4pywt_11_extensions_5_pywt_17ContinuousWavelet_7__str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ "\n ContinuousWavelet(name) object describe properties of\n a continuous wavelet identified by name.\n\n In order to use a built-in wavelet the parameter name must be\n a valid name from the wavelist() list.\n\n ", /*tp_doc*/ __pyx_tp_traverse_4pywt_11_extensions_5_pywt_ContinuousWavelet, /*tp_traverse*/ __pyx_tp_clear_4pywt_11_extensions_5_pywt_ContinuousWavelet, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_4pywt_11_extensions_5_pywt_ContinuousWavelet, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_4pywt_11_extensions_5_pywt_ContinuousWavelet, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_4pywt_11_extensions_5_pywt_ContinuousWavelet, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static struct __pyx_vtabstruct_array __pyx_vtable_array; static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_array_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_array_obj *)o); p->__pyx_vtab = __pyx_vtabptr_array; p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_array___dealloc__(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->mode); Py_CLEAR(p->_format); (*Py_TYPE(o)->tp_free)(o); } static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_array___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { PyObject *v = PyObject_GenericGetAttr(o, n); if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); v = __pyx_array___getattr__(o, n); } return v; } static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o); } static PyMethodDef __pyx_methods_array[] = { {"__getattr__", (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, 0}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_array[] = { {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_array = { 0, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_array, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_array = { 0, /*mp_length*/ __pyx_array___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_array = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif __pyx_array_getbuffer, /*bf_getbuffer*/ 0, /*bf_releasebuffer*/ }; static PyTypeObject __pyx_type___pyx_array = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._pywt.array", /*tp_name*/ sizeof(struct __pyx_array_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_array, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif 0, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ __pyx_tp_getattro_array, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ 0, /*tp_doc*/ 0, /*tp_traverse*/ 0, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_array, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_array, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_array, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { struct __pyx_MemviewEnum_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_MemviewEnum_obj *)o); p->name = Py_None; Py_INCREF(Py_None); return o; } static void __pyx_tp_dealloc_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); Py_CLEAR(p->name); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { int e; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; if (p->name) { e = (*v)(p->name, a); if (e) return e; } return 0; } static int __pyx_tp_clear_Enum(PyObject *o) { PyObject* tmp; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyMethodDef __pyx_methods_Enum[] = { {0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_MemviewEnum = { PyVarObject_HEAD_INIT(0, 0) "pywt._extensions._pywt.Enum", /*tp_name*/ sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_Enum, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #endif #if PY_MAJOR_VERSION >= 3 0, /*tp_as_async*/ #endif __pyx_MemviewEnum___repr__, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_Enum, /*tp_traverse*/ __pyx_tp_clear_Enum, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_Enum, /*tp_methods*/ 0, /*tp_members*/ 0, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ __pyx_MemviewEnum___init__, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_Enum, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, /*tp_version_tag*/ #if PY_VERSION_HEX >= 0x030400a1 0, /*tp_finalize*/ #endif }; static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryview_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_memoryview_obj *)o); p->__pyx_vtab = __pyx_vtabptr_memoryview; p->obj = Py_None; Py_INCREF(Py_None); p->_size = Py_None; Py_INCREF(Py_None); p->_array_interface = Py_None; Py_INCREF(Py_None); p->view.obj = NULL; if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryview___dealloc__(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->obj); Py_CLEAR(p->_size); Py_CLEAR(p->_array_interface); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; if (p->obj) { e = (*v)(p->obj, a); if (e) return e; } if (p->_size) { e = (*v)(p->_size, a); if (e) return e; } if (p->_array_interface) { e = (*v)(p->_array_interface, a); if (e) return e; } if (p->view.obj) { e = (*v)(p->view.obj, a); if (e) return e; } return 0; } static int __pyx_tp_clear_memoryview(PyObject *o) { PyObject* tmp; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; tmp = ((PyObject*)p->obj); p->obj = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_size); p->_size = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_array_interface); p->_array_interface = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); Py_CLEAR(p->view.obj); return 0; } static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_memoryview___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); } static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); } static PyMethodDef __pyx_methods_memoryview[] = { {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0}, {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0}, {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0}, {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_memoryview[] = { {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_memoryview = { __pyx_memoryview___len__, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_memoryview, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static 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/*tp_as_number*/ &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_memoryview___str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_memoryview, /*tp_traverse*/ __pyx_tp_clear_memoryview, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_memoryview, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_memoryview, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_memoryview, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ 0, 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__Pyx_RefNannyFinishContext(); #if PY_MAJOR_VERSION < 3 return; #else return __pyx_m; #endif } /* --- Runtime support code --- */ /* Refnanny */ #if CYTHON_REFNANNY static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { PyObject *m = NULL, *p = NULL; void *r = NULL; m = PyImport_ImportModule((char *)modname); if (!m) goto end; p = PyObject_GetAttrString(m, (char *)"RefNannyAPI"); if (!p) goto end; r = PyLong_AsVoidPtr(p); end: Py_XDECREF(p); Py_XDECREF(m); return (__Pyx_RefNannyAPIStruct *)r; } #endif /* GetBuiltinName */ static PyObject *__Pyx_GetBuiltinName(PyObject *name) { PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); if (unlikely(!result)) { PyErr_Format(PyExc_NameError, #if PY_MAJOR_VERSION >= 3 "name '%U' is not defined", name); #else "name '%.200s' is not defined", PyString_AS_STRING(name)); #endif } return result; } /* RaiseArgTupleInvalid */ static void __Pyx_RaiseArgtupleInvalid( const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found) { Py_ssize_t num_expected; const char *more_or_less; if (num_found < num_min) { num_expected = num_min; more_or_less = "at least"; } else { num_expected = num_max; more_or_less = "at most"; } if (exact) { more_or_less = "exactly"; } PyErr_Format(PyExc_TypeError, "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", func_name, more_or_less, num_expected, (num_expected == 1) ? "" : "s", num_found); } /* RaiseDoubleKeywords */ static void __Pyx_RaiseDoubleKeywordsError( const char* func_name, PyObject* kw_name) { PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION >= 3 "%s() got multiple values for keyword argument '%U'", func_name, kw_name); #else "%s() got multiple values for keyword argument '%s'", func_name, PyString_AsString(kw_name)); #endif } /* ParseKeywords */ static int __Pyx_ParseOptionalKeywords( PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name) { PyObject *key = 0, *value = 0; Py_ssize_t pos = 0; PyObject*** name; PyObject*** first_kw_arg = argnames + num_pos_args; while (PyDict_Next(kwds, &pos, &key, &value)) { name = first_kw_arg; while (*name && (**name != key)) name++; if (*name) { values[name-argnames] = value; continue; } name = first_kw_arg; #if PY_MAJOR_VERSION < 3 if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { while (*name) { if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) && _PyString_Eq(**name, key)) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%.200s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%.200s() got an unexpected keyword argument '%.200s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } /* PyObjectCall */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyObject *result; ternaryfunc call = func->ob_type->tp_call; if (unlikely(!call)) return PyObject_Call(func, arg, kw); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = (*call)(func, arg, kw); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyErrFetchRestore */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; } #endif /* RaiseException */ #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { __Pyx_PyThreadState_declare Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } if (PyType_Check(type)) { #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } } __Pyx_PyThreadState_assign __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *instance_class = NULL; if (value && PyExceptionInstance_Check(value)) { instance_class = (PyObject*) Py_TYPE(value); if (instance_class != type) { int is_subclass = PyObject_IsSubclass(instance_class, type); if (!is_subclass) { instance_class = NULL; } else if (unlikely(is_subclass == -1)) { goto bad; } else { type = instance_class; } } } if (!instance_class) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyObject_Call(type, args, NULL); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { #if CYTHON_COMPILING_IN_PYPY PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); Py_INCREF(tb); PyErr_Restore(tmp_type, tmp_value, tb); Py_XDECREF(tmp_tb); #else PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } #endif } bad: Py_XDECREF(owned_instance); return; } #endif /* GetModuleGlobalName */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (likely(result)) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } /* GetAttr */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } /* SaveResetException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); } static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } #endif /* PyErrExceptionMatches */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) { PyObject *exc_type = tstate->curexc_type; if (exc_type == err) return 1; if (unlikely(!exc_type)) return 0; return PyErr_GivenExceptionMatches(exc_type, err); } #endif /* GetException */ #if CYTHON_COMPILING_IN_CPYTHON static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { #else static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { #endif PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (local_tb) { if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; } #endif Py_XINCREF(local_tb); Py_XINCREF(local_type); Py_XINCREF(local_value); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } /* PyObjectCallMethO */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { PyObject *self, *result; PyCFunction cfunc; cfunc = PyCFunction_GET_FUNCTION(func); self = PyCFunction_GET_SELF(func); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = cfunc(self, arg); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyObjectCallOneArg */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_New(1); if (unlikely(!args)) return NULL; Py_INCREF(arg); PyTuple_SET_ITEM(args, 0, arg); result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { return __Pyx_PyObject_CallMethO(func, arg); } } return __Pyx__PyObject_CallOneArg(func, arg); } #else static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_Pack(1, arg); if (unlikely(!args)) return NULL; result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } #endif /* BytesEquals */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { const char *ps1, *ps2; Py_ssize_t length = PyBytes_GET_SIZE(s1); if (length != PyBytes_GET_SIZE(s2)) return (equals == Py_NE); ps1 = PyBytes_AS_STRING(s1); ps2 = PyBytes_AS_STRING(s2); if (ps1[0] != ps2[0]) { return (equals == Py_NE); } else if (length == 1) { return (equals == Py_EQ); } else { int result = memcmp(ps1, ps2, (size_t)length); return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } /* UnicodeEquals */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else #if PY_MAJOR_VERSION < 3 PyObject* owned_ref = NULL; #endif int s1_is_unicode, s2_is_unicode; if (s1 == s2) { goto return_eq; } s1_is_unicode = PyUnicode_CheckExact(s1); s2_is_unicode = PyUnicode_CheckExact(s2); #if PY_MAJOR_VERSION < 3 if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { owned_ref = PyUnicode_FromObject(s2); if (unlikely(!owned_ref)) return -1; s2 = owned_ref; s2_is_unicode = 1; } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { owned_ref = PyUnicode_FromObject(s1); if (unlikely(!owned_ref)) return -1; s1 = owned_ref; s1_is_unicode = 1; } else if (((!s2_is_unicode) & (!s1_is_unicode))) { return __Pyx_PyBytes_Equals(s1, s2, equals); } #endif if (s1_is_unicode & s2_is_unicode) { Py_ssize_t length; int kind; void *data1, *data2; if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) return -1; length = __Pyx_PyUnicode_GET_LENGTH(s1); if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { goto return_ne; } kind = __Pyx_PyUnicode_KIND(s1); if (kind != __Pyx_PyUnicode_KIND(s2)) { goto return_ne; } data1 = __Pyx_PyUnicode_DATA(s1); data2 = __Pyx_PyUnicode_DATA(s2); if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { goto return_ne; } else if (length == 1) { goto return_eq; } else { int result = memcmp(data1, data2, (size_t)(length * kind)); #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & s2_is_unicode) { goto return_ne; } else if ((s2 == Py_None) & s1_is_unicode) { goto return_ne; } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } return_eq: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ); return_ne: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_NE); #endif } /* RaiseTooManyValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } /* RaiseNeedMoreValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", index, (index == 1) ? "" : "s"); } /* IterFinish */ static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } /* UnpackItemEndCheck */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } /* FetchCommonType */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { PyObject* fake_module; PyTypeObject* cached_type = NULL; fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); if (!fake_module) return NULL; Py_INCREF(fake_module); cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); if (cached_type) { if (!PyType_Check((PyObject*)cached_type)) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s is not a type object", type->tp_name); goto bad; } if (cached_type->tp_basicsize != type->tp_basicsize) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s has the wrong size, try recompiling", type->tp_name); goto bad; } } else { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); if (PyType_Ready(type) < 0) goto bad; if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) goto bad; Py_INCREF(type); cached_type = type; } done: Py_DECREF(fake_module); return cached_type; bad: Py_XDECREF(cached_type); cached_type = NULL; goto done; } /* CythonFunction */ static PyObject * __Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) { if (unlikely(op->func_doc == NULL)) { if (op->func.m_ml->ml_doc) { #if PY_MAJOR_VERSION >= 3 op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); #else op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); #endif if (unlikely(op->func_doc == NULL)) return NULL; } else { Py_INCREF(Py_None); return Py_None; } } Py_INCREF(op->func_doc); return op->func_doc; } static int __Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp = op->func_doc; if (value == NULL) { value = Py_None; } Py_INCREF(value); op->func_doc = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op) { if (unlikely(op->func_name == NULL)) { #if PY_MAJOR_VERSION >= 3 op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); #else op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); #endif if (unlikely(op->func_name == NULL)) return NULL; } Py_INCREF(op->func_name); return op->func_name; } static int __Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__name__ must be set to a string object"); return -1; } tmp = op->func_name; Py_INCREF(value); op->func_name = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_qualname); return op->func_qualname; } static int __Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__qualname__ must be set to a string object"); return -1; } tmp = op->func_qualname; Py_INCREF(value); op->func_qualname = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) { PyObject *self; self = m->func_closure; if (self == NULL) self = Py_None; Py_INCREF(self); return self; } static PyObject * __Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op) { if (unlikely(op->func_dict == NULL)) { op->func_dict = PyDict_New(); if (unlikely(op->func_dict == NULL)) return NULL; } Py_INCREF(op->func_dict); return op->func_dict; } static int __Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; if (unlikely(value == NULL)) { PyErr_SetString(PyExc_TypeError, "function's dictionary may not be deleted"); return -1; } if (unlikely(!PyDict_Check(value))) { PyErr_SetString(PyExc_TypeError, "setting function's dictionary to a non-dict"); return -1; } tmp = op->func_dict; Py_INCREF(value); op->func_dict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_globals); return op->func_globals; } static PyObject * __Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op) { Py_INCREF(Py_None); return Py_None; } static PyObject * __Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op) { PyObject* result = (op->func_code) ? op->func_code : Py_None; Py_INCREF(result); return result; } static int __Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { int result = 0; PyObject *res = op->defaults_getter((PyObject *) op); if (unlikely(!res)) return -1; #if CYTHON_COMPILING_IN_CPYTHON op->defaults_tuple = PyTuple_GET_ITEM(res, 0); Py_INCREF(op->defaults_tuple); op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); Py_INCREF(op->defaults_kwdict); #else op->defaults_tuple = PySequence_ITEM(res, 0); if (unlikely(!op->defaults_tuple)) result = -1; else { op->defaults_kwdict = PySequence_ITEM(res, 1); if (unlikely(!op->defaults_kwdict)) result = -1; } #endif Py_DECREF(res); return result; } static int __Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyTuple_Check(value)) { PyErr_SetString(PyExc_TypeError, "__defaults__ must be set to a tuple object"); return -1; } Py_INCREF(value); tmp = op->defaults_tuple; op->defaults_tuple = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_tuple; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_tuple; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__kwdefaults__ must be set to a dict object"); return -1; } Py_INCREF(value); tmp = op->defaults_kwdict; op->defaults_kwdict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_kwdict; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_kwdict; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value || value == Py_None) { value = NULL; } else if (!PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__annotations__ must be set to a dict object"); return -1; } Py_XINCREF(value); tmp = op->func_annotations; op->func_annotations = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op) { PyObject* result = op->func_annotations; if (unlikely(!result)) { result = PyDict_New(); if (unlikely(!result)) return NULL; op->func_annotations = result; } Py_INCREF(result); return result; } static PyGetSetDef __pyx_CyFunction_getsets[] = { {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, {0, 0, 0, 0, 0} }; static PyMemberDef __pyx_CyFunction_members[] = { {(char *) "__module__", T_OBJECT, offsetof(__pyx_CyFunctionObject, func.m_module), PY_WRITE_RESTRICTED, 0}, {0, 0, 0, 0, 0} }; static PyObject * __Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromString(m->func.m_ml->ml_name); #else return PyString_FromString(m->func.m_ml->ml_name); #endif } static PyMethodDef __pyx_CyFunction_methods[] = { {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, {0, 0, 0, 0} }; #if PY_VERSION_HEX < 0x030500A0 #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) #else #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) #endif static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type); if (op == NULL) return NULL; op->flags = flags; __Pyx_CyFunction_weakreflist(op) = NULL; op->func.m_ml = ml; op->func.m_self = (PyObject *) op; Py_XINCREF(closure); op->func_closure = closure; Py_XINCREF(module); op->func.m_module = module; op->func_dict = NULL; op->func_name = NULL; Py_INCREF(qualname); op->func_qualname = qualname; op->func_doc = NULL; op->func_classobj = NULL; op->func_globals = globals; Py_INCREF(op->func_globals); Py_XINCREF(code); op->func_code = code; op->defaults_pyobjects = 0; op->defaults = NULL; op->defaults_tuple = NULL; op->defaults_kwdict = NULL; op->defaults_getter = NULL; op->func_annotations = NULL; PyObject_GC_Track(op); return (PyObject *) op; } static int __Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) { Py_CLEAR(m->func_closure); Py_CLEAR(m->func.m_module); Py_CLEAR(m->func_dict); Py_CLEAR(m->func_name); Py_CLEAR(m->func_qualname); Py_CLEAR(m->func_doc); Py_CLEAR(m->func_globals); Py_CLEAR(m->func_code); Py_CLEAR(m->func_classobj); Py_CLEAR(m->defaults_tuple); Py_CLEAR(m->defaults_kwdict); Py_CLEAR(m->func_annotations); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_XDECREF(pydefaults[i]); PyObject_Free(m->defaults); m->defaults = NULL; } return 0; } static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) { PyObject_GC_UnTrack(m); if (__Pyx_CyFunction_weakreflist(m) != NULL) PyObject_ClearWeakRefs((PyObject *) m); __Pyx_CyFunction_clear(m); PyObject_GC_Del(m); } static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) { Py_VISIT(m->func_closure); Py_VISIT(m->func.m_module); Py_VISIT(m->func_dict); Py_VISIT(m->func_name); Py_VISIT(m->func_qualname); Py_VISIT(m->func_doc); Py_VISIT(m->func_globals); Py_VISIT(m->func_code); Py_VISIT(m->func_classobj); Py_VISIT(m->defaults_tuple); Py_VISIT(m->defaults_kwdict); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_VISIT(pydefaults[i]); } return 0; } static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(func); return func; } if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { if (type == NULL) type = (PyObject *)(Py_TYPE(obj)); return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); } if (obj == Py_None) obj = NULL; return __Pyx_PyMethod_New(func, obj, type); } static PyObject* __Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromFormat("", op->func_qualname, (void *)op); #else return PyString_FromFormat("", PyString_AsString(op->func_qualname), (void *)op); #endif } #if CYTHON_COMPILING_IN_PYPY static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyCFunctionObject* f = (PyCFunctionObject*)func; PyCFunction meth = f->m_ml->ml_meth; PyObject *self = f->m_self; Py_ssize_t size; switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { case METH_VARARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) return (*meth)(self, arg); break; case METH_VARARGS | METH_KEYWORDS: return (*(PyCFunctionWithKeywords)meth)(self, arg, kw); case METH_NOARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 0)) return (*meth)(self, NULL); PyErr_Format(PyExc_TypeError, "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; case METH_O: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 1)) { PyObject *result, *arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; result = (*meth)(self, arg0); Py_DECREF(arg0); return result; } PyErr_Format(PyExc_TypeError, "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; default: PyErr_SetString(PyExc_SystemError, "Bad call flags in " "__Pyx_CyFunction_Call. METH_OLDARGS is no " "longer supported!"); return NULL; } PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", f->m_ml->ml_name); return NULL; } #else static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { return PyCFunction_Call(func, arg, kw); } #endif static PyTypeObject __pyx_CyFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "cython_function_or_method", sizeof(__pyx_CyFunctionObject), 0, (destructor) __Pyx_CyFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif (reprfunc) __Pyx_CyFunction_repr, 0, 0, 0, 0, __Pyx_CyFunction_Call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, 0, (traverseproc) __Pyx_CyFunction_traverse, (inquiry) __Pyx_CyFunction_clear, 0, #if PY_VERSION_HEX < 0x030500A0 offsetof(__pyx_CyFunctionObject, func_weakreflist), #else offsetof(PyCFunctionObject, m_weakreflist), #endif 0, 0, __pyx_CyFunction_methods, __pyx_CyFunction_members, __pyx_CyFunction_getsets, 0, 0, __Pyx_CyFunction_descr_get, 0, offsetof(__pyx_CyFunctionObject, func_dict), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_CyFunction_init(void) { #if !CYTHON_COMPILING_IN_PYPY __pyx_CyFunctionType_type.tp_call = PyCFunction_Call; #endif __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); if (__pyx_CyFunctionType == NULL) { return -1; } return 0; } static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults = PyObject_Malloc(size); if (!m->defaults) return PyErr_NoMemory(); memset(m->defaults, 0, size); m->defaults_pyobjects = pyobjects; return m->defaults; } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_tuple = tuple; Py_INCREF(tuple); } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_kwdict = dict; Py_INCREF(dict); } static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->func_annotations = dict; Py_INCREF(dict); } /* PyObjectCallMethod1 */ static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) { PyObject *method, *result = NULL; method = __Pyx_PyObject_GetAttrStr(obj, method_name); if (unlikely(!method)) goto bad; #if CYTHON_COMPILING_IN_CPYTHON if (likely(PyMethod_Check(method))) { PyObject *self = PyMethod_GET_SELF(method); if (likely(self)) { PyObject *args; PyObject *function = PyMethod_GET_FUNCTION(method); args = PyTuple_New(2); if (unlikely(!args)) goto bad; Py_INCREF(self); PyTuple_SET_ITEM(args, 0, self); Py_INCREF(arg); PyTuple_SET_ITEM(args, 1, arg); Py_INCREF(function); Py_DECREF(method); method = NULL; result = __Pyx_PyObject_Call(function, args, NULL); Py_DECREF(args); Py_DECREF(function); return result; } } #endif result = __Pyx_PyObject_CallOneArg(method, arg); bad: Py_XDECREF(method); return result; } /* append */ static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) { if (likely(PyList_CheckExact(L))) { if (unlikely(__Pyx_PyList_Append(L, x) < 0)) return -1; } else { PyObject* retval = __Pyx_PyObject_CallMethod1(L, __pyx_n_s_append, x); if (unlikely(!retval)) return -1; Py_DECREF(retval); } return 0; } /* SliceObject */ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop, PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice, int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) { #if CYTHON_COMPILING_IN_CPYTHON PyMappingMethods* mp; #if PY_MAJOR_VERSION < 3 PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence; if (likely(ms && ms->sq_slice)) { if (!has_cstart) { if (_py_start && (*_py_start != Py_None)) { cstart = __Pyx_PyIndex_AsSsize_t(*_py_start); if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; } else cstart = 0; } if (!has_cstop) { if (_py_stop && (*_py_stop != Py_None)) { cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop); if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; } else cstop = PY_SSIZE_T_MAX; } if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) { Py_ssize_t l = ms->sq_length(obj); if (likely(l >= 0)) { if (cstop < 0) { cstop += l; if (cstop < 0) cstop = 0; } if (cstart < 0) { cstart += l; if (cstart < 0) cstart = 0; } } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) goto bad; PyErr_Clear(); } } return ms->sq_slice(obj, cstart, cstop); } #endif mp = Py_TYPE(obj)->tp_as_mapping; if (likely(mp && mp->mp_subscript)) #endif { PyObject* result; PyObject *py_slice, *py_start, *py_stop; if (_py_slice) { py_slice = *_py_slice; } else { PyObject* owned_start = NULL; PyObject* owned_stop = NULL; if (_py_start) { py_start = *_py_start; } else { if (has_cstart) { owned_start = py_start = PyInt_FromSsize_t(cstart); if (unlikely(!py_start)) goto bad; } else py_start = Py_None; } if (_py_stop) { py_stop = *_py_stop; } else { if (has_cstop) { owned_stop = py_stop = PyInt_FromSsize_t(cstop); if (unlikely(!py_stop)) { Py_XDECREF(owned_start); goto bad; } } else py_stop = Py_None; } py_slice = PySlice_New(py_start, py_stop, Py_None); Py_XDECREF(owned_start); Py_XDECREF(owned_stop); if (unlikely(!py_slice)) goto bad; } #if CYTHON_COMPILING_IN_CPYTHON result = mp->mp_subscript(obj, py_slice); #else result = PyObject_GetItem(obj, py_slice); #endif if (!_py_slice) { Py_DECREF(py_slice); } return result; } PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name); bad: return NULL; } /* PyObjectCallNoArg */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { return __Pyx_PyObject_CallMethO(func, NULL); } } return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL); } #endif /* GetItemInt */ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return NULL; PyErr_Clear(); } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } /* decode_c_string */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { size_t slen = strlen(cstring); if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { PyErr_SetString(PyExc_OverflowError, "c-string too long to convert to Python"); return NULL; } length = (Py_ssize_t) slen; if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } /* None */ static CYTHON_INLINE long __Pyx_mod_long(long a, long b) { long r = a % b; r += ((r != 0) & ((r ^ b) < 0)) * b; return r; } /* BufferFormatCheck */ static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { switch (*ts) { case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; default: break; } number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case '\r': case '\n': ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; ctx->new_count = 1; got_Z = 0; ++ts; break; } case 's': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } /* MemviewSliceInit */ static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } /* None */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } /* ExtTypeTest */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } /* RaiseNoneIterError */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } /* ArgTypeTest */ static void __Pyx_RaiseArgumentTypeInvalid(const char* name, PyObject *obj, PyTypeObject *type) { PyErr_Format(PyExc_TypeError, "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", name, type->tp_name, Py_TYPE(obj)->tp_name); } static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (likely(Py_TYPE(obj) == type)) return 1; #if PY_MAJOR_VERSION == 2 else if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; #endif } else { if (likely(PyObject_TypeCheck(obj, type))) return 1; } __Pyx_RaiseArgumentTypeInvalid(name, obj, type); return 0; } /* None */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* SwapException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = *type; tstate->exc_value = *value; tstate->exc_traceback = *tb; *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); PyErr_SetExcInfo(*type, *value, *tb); *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #endif /* Import */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } /* PyIntBinop */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { const long b = intval; long x; long a = PyInt_AS_LONG(op1); x = (long)((unsigned long)a + b); if (likely((x^a) >= 0 || (x^b) >= 0)) return PyInt_FromLong(x); return PyLong_Type.tp_as_number->nb_add(op1, op2); } #endif #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3 if (likely(PyLong_CheckExact(op1))) { const long b = intval; long a, x; const PY_LONG_LONG llb = intval; PY_LONG_LONG lla, llx; const digit* digits = ((PyLongObject*)op1)->ob_digit; const Py_ssize_t size = Py_SIZE(op1); if (likely(__Pyx_sst_abs(size) <= 1)) { a = likely(size) ? digits[0] : 0; if (size == -1) a = -a; } else { switch (size) { case -2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } default: return PyLong_Type.tp_as_number->nb_add(op1, op2); } } x = a + b; return PyLong_FromLong(x); long_long: llx = lla + llb; return PyLong_FromLongLong(llx); } #endif if (PyFloat_CheckExact(op1)) { const long b = intval; double a = PyFloat_AS_DOUBLE(op1); double result; PyFPE_START_PROTECT("add", return NULL) result = ((double)a) + (double)b; PyFPE_END_PROTECT(result) return PyFloat_FromDouble(result); } return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); } #endif /* None */ static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* WriteUnraisableException */ static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, int full_traceback, CYTHON_UNUSED int nogil) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_PyThreadState_declare #ifdef WITH_THREAD PyGILState_STATE state; if (nogil) state = PyGILState_Ensure(); #ifdef _MSC_VER else state = (PyGILState_STATE)-1; #endif #endif __Pyx_PyThreadState_assign __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); if (full_traceback) { Py_XINCREF(old_exc); Py_XINCREF(old_val); Py_XINCREF(old_tb); __Pyx_ErrRestore(old_exc, old_val, old_tb); PyErr_PrintEx(1); } #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } #ifdef WITH_THREAD if (nogil) PyGILState_Release(state); #endif } /* StringJoin */ #if !CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values) { return PyObject_CallMethodObjArgs(sep, __pyx_n_s_join, values, NULL); } #endif /* SetVTable */ static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } /* CalculateMetaclass */ static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) { Py_ssize_t i, nbases = PyTuple_GET_SIZE(bases); for (i=0; i < nbases; i++) { PyTypeObject *tmptype; PyObject *tmp = PyTuple_GET_ITEM(bases, i); tmptype = Py_TYPE(tmp); #if PY_MAJOR_VERSION < 3 if (tmptype == &PyClass_Type) continue; #endif if (!metaclass) { metaclass = tmptype; continue; } if (PyType_IsSubtype(metaclass, tmptype)) continue; if (PyType_IsSubtype(tmptype, metaclass)) { metaclass = tmptype; continue; } PyErr_SetString(PyExc_TypeError, "metaclass conflict: " "the metaclass of a derived class " "must be a (non-strict) subclass " "of the metaclasses of all its bases"); return NULL; } if (!metaclass) { #if PY_MAJOR_VERSION < 3 metaclass = &PyClass_Type; #else metaclass = &PyType_Type; #endif } Py_INCREF((PyObject*) metaclass); return (PyObject*) metaclass; } /* Py3ClassCreate */ static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) { PyObject *ns; if (metaclass) { PyObject *prep = __Pyx_PyObject_GetAttrStr(metaclass, __pyx_n_s_prepare); if (prep) { PyObject *pargs = PyTuple_Pack(2, name, bases); if (unlikely(!pargs)) { Py_DECREF(prep); return NULL; } ns = PyObject_Call(prep, pargs, mkw); Py_DECREF(prep); Py_DECREF(pargs); } else { if (unlikely(!PyErr_ExceptionMatches(PyExc_AttributeError))) return NULL; PyErr_Clear(); ns = PyDict_New(); } } else { ns = PyDict_New(); } if (unlikely(!ns)) return NULL; if (unlikely(PyObject_SetItem(ns, __pyx_n_s_module_2, modname) < 0)) goto bad; if (unlikely(PyObject_SetItem(ns, __pyx_n_s_qualname, qualname) < 0)) goto bad; if (unlikely(doc && PyObject_SetItem(ns, __pyx_n_s_doc, doc) < 0)) goto bad; return ns; bad: Py_DECREF(ns); return NULL; } static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, PyObject *dict, PyObject *mkw, int calculate_metaclass, int allow_py2_metaclass) { PyObject *result, *margs; PyObject *owned_metaclass = NULL; if (allow_py2_metaclass) { owned_metaclass = PyObject_GetItem(dict, __pyx_n_s_metaclass); if (owned_metaclass) { metaclass = owned_metaclass; } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) { PyErr_Clear(); } else { return NULL; } } if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) { metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases); Py_XDECREF(owned_metaclass); if (unlikely(!metaclass)) return NULL; owned_metaclass = metaclass; } margs = PyTuple_Pack(3, name, bases, dict); if (unlikely(!margs)) { result = NULL; } else { result = PyObject_Call(metaclass, margs, mkw); Py_DECREF(margs); } Py_XDECREF(owned_metaclass); return result; } /* CodeObjectCache */ static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = start + (end - start) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } /* AddTraceback */ #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, 0, 0, 0, 0, __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ __pyx_d, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } Py_DECREF(obj); view->obj = NULL; } #endif /* MemviewSliceIsContig */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs.memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) return 0; itemsize *= mvs.shape[index]; } return 1; } /* OverlappingSlices */ static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } /* Capsule */ static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_MODE(MODE value) { const MODE neg_one = (MODE) -1, const_zero = (MODE) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(MODE) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(MODE) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(MODE) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(MODE) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(MODE) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(MODE), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_WAVELET_NAME(WAVELET_NAME value) { const WAVELET_NAME neg_one = (WAVELET_NAME) -1, const_zero = (WAVELET_NAME) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(WAVELET_NAME) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(WAVELET_NAME) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(WAVELET_NAME) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(WAVELET_NAME) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(WAVELET_NAME) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(WAVELET_NAME), little, !is_unsigned); } } /* CIntFromPyVerify */ #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) #define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ {\ func_type value = func_value;\ if (sizeof(target_type) < sizeof(func_type)) {\ if (unlikely(value != (func_type) (target_type) value)) {\ func_type zero = 0;\ if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ return (target_type) -1;\ if (is_unsigned && unlikely(value < zero))\ goto raise_neg_overflow;\ else\ goto raise_overflow;\ }\ }\ return (target_type) value;\ } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(int) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(int) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(int), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(long) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(long) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(long), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_int(unsigned int value) { const unsigned int neg_one = (unsigned int) -1, const_zero = (unsigned int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(unsigned int) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(unsigned int) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(unsigned int) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(unsigned int) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(unsigned int) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(unsigned int), little, !is_unsigned); } } /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float64_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float64_t value = __pyx_PyFloat_AsDouble(obj); if ((value == (npy_float64)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float64_t *) itemp = value; return 1; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float32_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float32_t value = __pyx_PyFloat_AsFloat(obj); if ((value == (npy_float32)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float32_t *) itemp = value; return 1; } /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(enum NPY_TYPES) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(enum NPY_TYPES) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), little, !is_unsigned); } } /* MemviewSliceCopyTemplate */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } /* TypeInfoToFormat */ static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type) { struct __pyx_typeinfo_string result = { {0} }; char *buf = (char *) result.string; size_t size = type->size; switch (type->typegroup) { case 'H': *buf = 'c'; break; case 'I': case 'U': if (size == 1) *buf = (type->is_unsigned) ? 'B' : 'b'; else if (size == 2) *buf = (type->is_unsigned) ? 'H' : 'h'; else if (size == 4) *buf = (type->is_unsigned) ? 'I' : 'i'; else if (size == 8) *buf = (type->is_unsigned) ? 'Q' : 'q'; break; case 'P': *buf = 'P'; break; case 'C': { __Pyx_TypeInfo complex_type = *type; complex_type.typegroup = 'R'; complex_type.size /= 2; *buf++ = 'Z'; *buf = __Pyx_TypeInfoToFormat(&complex_type).string[0]; break; } case 'R': if (size == 4) *buf = 'f'; else if (size == 8) *buf = 'd'; else *buf = 'g'; break; } return result; } /* CIntFromPy */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) case -2: if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -3: if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -4: if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; } #endif if (sizeof(int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (int) -1; } } else { int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (int) -1; val = __Pyx_PyInt_As_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to int"); return (int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to int"); return (int) -1; } /* CIntFromPy */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { const unsigned int neg_one = (unsigned int) -1, const_zero = (unsigned int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(unsigned int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(unsigned int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (unsigned int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (unsigned int) 0; case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, digits[0]) case 2: if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 2 * PyLong_SHIFT) { return (unsigned int) (((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; case 3: if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 3 * PyLong_SHIFT) { return (unsigned int) (((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; case 4: if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 4 * PyLong_SHIFT) { return (unsigned int) (((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (unsigned int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(unsigned int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(unsigned int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (unsigned int) 0; case -1: __PYX_VERIFY_RETURN_INT(unsigned int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, +digits[0]) case -2: if (8 * sizeof(unsigned int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 2: if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { return (unsigned int) ((((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case -3: if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 3: if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { return (unsigned int) ((((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case -4: if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 4: if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { return (unsigned int) ((((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; } #endif if (sizeof(unsigned int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, long, PyLong_AsLong(x)) } else if (sizeof(unsigned int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else unsigned int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (unsigned int) -1; } } else { unsigned int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (unsigned int) -1; val = __Pyx_PyInt_As_unsigned_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to unsigned int"); return (unsigned int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned int"); return (unsigned int) -1; } /* CIntFromPy */ static CYTHON_INLINE WAVELET_NAME __Pyx_PyInt_As_WAVELET_NAME(PyObject *x) { const WAVELET_NAME neg_one = (WAVELET_NAME) -1, const_zero = (WAVELET_NAME) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(WAVELET_NAME) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (WAVELET_NAME) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (WAVELET_NAME) 0; case 1: __PYX_VERIFY_RETURN_INT(WAVELET_NAME, digit, digits[0]) case 2: if (8 * sizeof(WAVELET_NAME) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) >= 2 * PyLong_SHIFT) { return (WAVELET_NAME) (((((WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0])); } } break; case 3: if (8 * sizeof(WAVELET_NAME) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) >= 3 * PyLong_SHIFT) { return (WAVELET_NAME) (((((((WAVELET_NAME)digits[2]) << PyLong_SHIFT) | (WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0])); } } break; case 4: if (8 * sizeof(WAVELET_NAME) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) >= 4 * PyLong_SHIFT) { return (WAVELET_NAME) (((((((((WAVELET_NAME)digits[3]) << PyLong_SHIFT) | (WAVELET_NAME)digits[2]) << PyLong_SHIFT) | (WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (WAVELET_NAME) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(WAVELET_NAME) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(WAVELET_NAME, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(WAVELET_NAME) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(WAVELET_NAME, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (WAVELET_NAME) 0; case -1: __PYX_VERIFY_RETURN_INT(WAVELET_NAME, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(WAVELET_NAME, digit, +digits[0]) case -2: if (8 * sizeof(WAVELET_NAME) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) - 1 > 2 * PyLong_SHIFT) { return (WAVELET_NAME) (((WAVELET_NAME)-1)*(((((WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0]))); } } break; case 2: if (8 * sizeof(WAVELET_NAME) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) - 1 > 2 * PyLong_SHIFT) { return (WAVELET_NAME) ((((((WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0]))); } } break; case -3: if (8 * sizeof(WAVELET_NAME) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) - 1 > 3 * PyLong_SHIFT) { return (WAVELET_NAME) (((WAVELET_NAME)-1)*(((((((WAVELET_NAME)digits[2]) << PyLong_SHIFT) | (WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0]))); } } break; case 3: if (8 * sizeof(WAVELET_NAME) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) - 1 > 3 * PyLong_SHIFT) { return (WAVELET_NAME) ((((((((WAVELET_NAME)digits[2]) << PyLong_SHIFT) | (WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0]))); } } break; case -4: if (8 * sizeof(WAVELET_NAME) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) - 1 > 4 * PyLong_SHIFT) { return (WAVELET_NAME) (((WAVELET_NAME)-1)*(((((((((WAVELET_NAME)digits[3]) << PyLong_SHIFT) | (WAVELET_NAME)digits[2]) << PyLong_SHIFT) | (WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0]))); } } break; case 4: if (8 * sizeof(WAVELET_NAME) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(WAVELET_NAME, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(WAVELET_NAME) - 1 > 4 * PyLong_SHIFT) { return (WAVELET_NAME) ((((((((((WAVELET_NAME)digits[3]) << PyLong_SHIFT) | (WAVELET_NAME)digits[2]) << PyLong_SHIFT) | (WAVELET_NAME)digits[1]) << PyLong_SHIFT) | (WAVELET_NAME)digits[0]))); } } break; } #endif if (sizeof(WAVELET_NAME) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(WAVELET_NAME, long, PyLong_AsLong(x)) } else if (sizeof(WAVELET_NAME) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(WAVELET_NAME, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else WAVELET_NAME val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (WAVELET_NAME) -1; } } else { WAVELET_NAME val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (WAVELET_NAME) -1; val = __Pyx_PyInt_As_WAVELET_NAME(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to WAVELET_NAME"); return (WAVELET_NAME) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to WAVELET_NAME"); return (WAVELET_NAME) -1; } /* CIntFromPy */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { const char neg_one = (char) -1, const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(char) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (char) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (char) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(char) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) case -2: if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -3: if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -4: if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; } #endif if (sizeof(char) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else char val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (char) -1; } } else { char val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (char) -1; val = __Pyx_PyInt_As_char(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to char"); return (char) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to char"); return (char) -1; } /* CIntFromPy */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(long) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (long) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (long) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(long) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) case -2: if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -3: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -4: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; } #endif if (sizeof(long) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else long val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (long) -1; } } else { long val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (long) -1; val = __Pyx_PyInt_As_long(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to long"); return (long) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long) -1; } /* TypeInfoCompare */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } /* MemviewSliceValidateAndInit */ static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessible " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* CheckBinaryVersion */ static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); return PyErr_WarnEx(NULL, message, 1); } return 0; } /* FunctionExport */ static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(__pyx_m, (char *)"__pyx_capi__"); if (!d) { PyErr_Clear(); d = PyDict_New(); if (!d) goto bad; Py_INCREF(d); if (PyModule_AddObject(__pyx_m, (char *)"__pyx_capi__", d) < 0) goto bad; } tmp.fp = f; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(tmp.p, sig, 0); #else cobj = PyCObject_FromVoidPtrAndDesc(tmp.p, (void *)sig, 0); #endif if (!cobj) goto bad; if (PyDict_SetItemString(d, name, cobj) < 0) goto bad; Py_DECREF(cobj); Py_DECREF(d); return 0; bad: Py_XDECREF(cobj); Py_XDECREF(d); return -1; } /* ModuleImport */ #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif /* TypeImport */ #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%.200s.%.200s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd", module_name, class_name, basicsize, size); if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd", module_name, class_name, basicsize, size); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif /* FunctionImport */ #ifndef __PYX_HAVE_RT_ImportFunction #define __PYX_HAVE_RT_ImportFunction static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(module, (char *)"__pyx_capi__"); if (!d) goto bad; cobj = PyDict_GetItemString(d, funcname); if (!cobj) { PyErr_Format(PyExc_ImportError, "%.200s does not export expected C function %.200s", PyModule_GetName(module), funcname); goto bad; } #if PY_VERSION_HEX >= 0x02070000 if (!PyCapsule_IsValid(cobj, sig)) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj)); goto bad; } tmp.p = PyCapsule_GetPointer(cobj, sig); #else {const char *desc, *s1, *s2; desc = (const char *)PyCObject_GetDesc(cobj); if (!desc) goto bad; s1 = desc; s2 = sig; while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } if (*s1 != *s2) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, desc); goto bad; } tmp.p = PyCObject_AsVoidPtr(cobj);} #endif *f = tmp.fp; if (!(*f)) goto bad; Py_DECREF(d); return 0; bad: Py_XDECREF(d); return -1; } #endif /* InitStrings */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if CYTHON_COMPILING_IN_CPYTHON && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else if (__Pyx_PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_LENGTH(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else return PyUnicode_AsUTF8AndSize(o, length); #endif #endif } else #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) if (PyByteArray_Check(o)) { *length = PyByteArray_GET_SIZE(o); return PyByteArray_AS_STRING(o); } else #endif { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (unlikely(r < 0)) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return __Pyx_NewRef(x); m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%.4s__ returned non-%.4s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject *x; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(b))) { if (sizeof(Py_ssize_t) >= sizeof(long)) return PyInt_AS_LONG(b); else return PyInt_AsSsize_t(x); } #endif if (likely(PyLong_CheckExact(b))) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)b)->ob_digit; const Py_ssize_t size = Py_SIZE(b); if (likely(__Pyx_sst_abs(size) <= 1)) { ival = likely(size) ? digits[0] : 0; if (size == -1) ival = -ival; return ival; } else { switch (size) { case 2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; } } #endif return PyLong_AsSsize_t(b); } x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { return PyInt_FromSize_t(ival); } #endif /* Py_PYTHON_H */ PyWavelets-0.5.1/pywt/_extensions/_pywt.h0000755€>SK[€>P0000000263613017376006022447 0ustar lee8rxdomain^users00000000000000/* Generated by Cython 0.24.1 */ #ifndef __PYX_HAVE__pywt___extensions___pywt #define __PYX_HAVE__pywt___extensions___pywt struct WaveletObject; struct ContinuousWaveletObject; /* "pywt/_extensions/_pywt.pxd":10 * np.float64_t * * cdef public class Wavelet [type WaveletType, object WaveletObject]: # <<<<<<<<<<<<<< * cdef wavelet.DiscreteWavelet* w * */ struct WaveletObject { PyObject_HEAD DiscreteWavelet *w; PyObject *name; PyObject *number; }; /* "pywt/_extensions/_pywt.pxd":16 * cdef readonly number * * cdef public class ContinuousWavelet [type ContinuousWaveletType, object ContinuousWaveletObject]: # <<<<<<<<<<<<<< * cdef wavelet.ContinuousWavelet* w * */ struct ContinuousWaveletObject { PyObject_HEAD ContinuousWavelet *w; PyObject *name; PyObject *number; PyObject *dt; }; #ifndef __PYX_HAVE_API__pywt___extensions___pywt #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #ifndef DL_IMPORT #define DL_IMPORT(_T) _T #endif __PYX_EXTERN_C DL_IMPORT(PyTypeObject) WaveletType; __PYX_EXTERN_C DL_IMPORT(PyTypeObject) ContinuousWaveletType; #endif /* !__PYX_HAVE_API__pywt___extensions___pywt */ #if PY_MAJOR_VERSION < 3 PyMODINIT_FUNC init_pywt(void); #else PyMODINIT_FUNC PyInit__pywt(void); #endif #endif /* !__PYX_HAVE__pywt___extensions___pywt */ PyWavelets-0.5.1/pywt/_extensions/_pywt.pxd0000755€>SK[€>P0000000111013017375740023001 0ustar lee8rxdomain^users00000000000000cimport wavelet cimport numpy as np ctypedef Py_ssize_t pywt_index_t ctypedef fused data_t: np.float32_t np.float64_t cdef public class Wavelet [type WaveletType, object WaveletObject]: cdef wavelet.DiscreteWavelet* w cdef readonly name cdef readonly number cdef public class ContinuousWavelet [type ContinuousWaveletType, object ContinuousWaveletObject]: cdef wavelet.ContinuousWavelet* w cdef readonly name cdef readonly number cdef readonly dt cpdef np.dtype _check_dtype(data) # FIXME: To be removed cdef c_wavelet_from_object(wavelet) PyWavelets-0.5.1/pywt/_extensions/_pywt.pyx0000755€>SK[€>P0000010664313017375740023047 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. __doc__ = """Cython wrapper for low-level C wavelet transform implementation.""" __all__ = ['MODES', 'Modes', 'DiscreteContinuousWavelet', 'Wavelet', 'ContinuousWavelet', 'wavelist', 'families'] import warnings cimport c_wt cimport common from ._dwt cimport upcoef from ._cwt cimport cwt_psi_single from libc.math cimport pow, sqrt import numpy as np # Caution: order of _old_modes entries must match _Modes.modes below _old_modes = ['zpd', 'cpd', 'sym', 'ppd', 'sp1', 'per', ] _attr_deprecation_msg = ('{old} has been renamed to {new} and will ' 'be unavailable in a future version ' 'of pywt.') class _Modes(object): """ Because the most common and practical way of representing digital signals in computer science is with finite arrays of values, some extrapolation of the input data has to be performed in order to extend the signal before computing the :ref:`Discrete Wavelet Transform ` using the cascading filter banks algorithm. Depending on the extrapolation method, significant artifacts at the signal's borders can be introduced during that process, which in turn may lead to inaccurate computations of the :ref:`DWT ` at the signal's ends. PyWavelets provides several methods of signal extrapolation that can be used to minimize this negative effect: zero - zero-padding 0 0 | x1 x2 ... xn | 0 0 constant - constant-padding x1 x1 | x1 x2 ... xn | xn xn symmetric - symmetric-padding x2 x1 | x1 x2 ... xn | xn xn-1 reflect - reflect-padding x3 x2 | x1 x2 ... xn | xn-1 xn-2 periodic - periodic-padding xn-1 xn | x1 x2 ... xn | x1 x2 smooth - smooth-padding (1st derivative interpolation) DWT performed for these extension modes is slightly redundant, but ensure a perfect reconstruction for IDWT. To receive the smallest possible number of coefficients, computations can be performed with the periodization mode: periodization - like periodic-padding but gives the smallest possible number of decomposition coefficients. IDWT must be performed with the same mode. Examples -------- >>> import pywt >>> pywt.Modes.modes ['zero', 'constant', 'symmetric', 'reflect', 'periodic', 'smooth', 'periodization'] >>> # The different ways of passing wavelet and mode parameters >>> (a, d) = pywt.dwt([1,2,3,4,5,6], 'db2', 'smooth') >>> (a, d) = pywt.dwt([1,2,3,4,5,6], pywt.Wavelet('db2'), pywt.Modes.smooth) Notes ----- Extending data in context of PyWavelets does not mean reallocation of the data in computer's physical memory and copying values, but rather computing the extra values only when they are needed. This feature saves extra memory and CPU resources and helps to avoid page swapping when handling relatively big data arrays on computers with low physical memory. """ zero = common.MODE_ZEROPAD constant = common.MODE_CONSTANT_EDGE symmetric = common.MODE_SYMMETRIC reflect = common.MODE_REFLECT periodic = common.MODE_PERIODIC smooth = common.MODE_SMOOTH periodization = common.MODE_PERIODIZATION # Caution: order in modes list below must match _old_modes above modes = ["zero", "constant", "symmetric", "periodic", "smooth", "periodization", "reflect"] def from_object(self, mode): if isinstance(mode, int): if mode <= common.MODE_INVALID or mode >= common.MODE_MAX: raise ValueError("Invalid mode.") m = mode else: try: m = getattr(Modes, mode) except AttributeError: raise ValueError("Unknown mode name '%s'." % mode) return m def __getattr__(self, mode): # catch deprecated mode names if mode in _old_modes: new_mode = Modes.modes[_old_modes.index(mode)] warnings.warn(_attr_deprecation_msg.format(old=mode, new=new_mode), DeprecationWarning) mode = new_mode return Modes.__getattribute__(mode) Modes = _Modes() class _DeprecatedMODES(_Modes): msg = ("MODES has been renamed to Modes and will be " "removed in a future version of pywt.") def __getattribute__(self, attr): """Override so that deprecation warning is shown every time MODES is used. N.B. have to use __getattribute__ as well as __getattr__ to ensure warning on e.g. `MODES.symmetric`. """ if not attr.startswith('_'): warnings.warn(_DeprecatedMODES.msg, DeprecationWarning) return _Modes.__getattribute__(self, attr) def __getattr__(self, attr): """Override so that deprecation warning is shown every time MODES is used. """ warnings.warn(_DeprecatedMODES.msg, DeprecationWarning) return _Modes.__getattr__(self, attr) MODES = _DeprecatedMODES() ############################################################################### # Wavelet include "wavelets_list.pxi" # __wname_to_code cdef object wname_to_code(name): cdef object code_number try: code_number = __wname_to_code[name] return code_number except KeyError: raise ValueError("Unknown wavelet name '%s', check wavelist() for the " "list of available builtin wavelets." % name) def wavelist(family=None, kind='all'): """ wavelist(family=None) Returns list of available wavelet names for the given family name. Parameters ---------- family : str, optional Short family name. If the family name is None (default) then names of all the built-in wavelets are returned. Otherwise the function returns names of wavelets that belong to the given family. Valid names are:: 'haar', 'db', 'sym', 'coif', 'bior', 'rbio', 'dmey', 'gaus', 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor' kind : {'all', 'continuous', 'discrete'}, optional Whether to return only wavelet names of discrete or continuous wavelets, or all wavelets. Default is ``'all'``. Ignored if ``family`` is specified. Returns ------- wavelist : list of str List of available wavelet names. Examples -------- >>> import pywt >>> pywt.wavelist('coif') ['coif1', 'coif2', 'coif3', 'coif4', 'coif5', 'coif6', 'coif7', ... >>> pywt.wavelist(kind='continuous') ['cgau1', 'cgau2', 'cgau3', 'cgau4', 'cgau5', 'cgau6', 'cgau7', ... """ cdef object wavelets, sorting_list if kind not in ('all', 'continuous', 'discrete'): raise ValueError("Unrecognized value for `kind`: %s" % kind) def _check_kind(name, kind): if kind == 'all': return True family_code, family_number = wname_to_code(name) is_discrete = wavelet.is_discrete_wavelet(family_code) if kind == 'discrete': return is_discrete else: return not is_discrete sorting_list = [] # for natural sorting order wavelets = [] cdef object name if family is None: for name in __wname_to_code: if _check_kind(name, kind): sorting_list.append((name[:2], len(name), name)) elif family in __wfamily_list_short: for name in __wname_to_code: if name.startswith(family): sorting_list.append((name[:2], len(name), name)) else: raise ValueError("Invalid short family name '%s'." % family) sorting_list.sort() for x, x, name in sorting_list: wavelets.append(name) return wavelets def families(int short=True): """ families(short=True) Returns a list of available built-in wavelet families. Currently the built-in families are: * Haar (``haar``) * Daubechies (``db``) * Symlets (``sym``) * Coiflets (``coif``) * Biorthogonal (``bior``) * Reverse biorthogonal (``rbio``) * `"Discrete"` FIR approximation of Meyer wavelet (``dmey``) * Gaussian wavelets (``gaus``) * Mexican hat wavelet (``mexh``) * Morlet wavelet (``morl``) * Complex Gaussian wavelets (``cgau``) * Shannon wavelets (``shan``) * Frequency B-Spline wavelets (``fbsp``) * Complex Morlet wavelets (``cmor``) Parameters ---------- short : bool, optional Use short names (default: True). Returns ------- families : list List of available wavelet families. Examples -------- >>> import pywt >>> pywt.families() ['haar', 'db', 'sym', 'coif', 'bior', 'rbio', 'dmey', 'gaus', 'mexh', 'morl', 'cgau', 'shan', 'fbsp', 'cmor'] >>> pywt.families(short=False) ['Haar', 'Daubechies', 'Symlets', 'Coiflets', 'Biorthogonal', 'Reverse biorthogonal', 'Discrete Meyer (FIR Approximation)', 'Gaussian', 'Mexican hat wavelet', 'Morlet wavelet', 'Complex Gaussian wavelets', 'Shannon wavelets', 'Frequency B-Spline wavelets', 'Complex Morlet wavelets'] """ if short: return __wfamily_list_short[:] return __wfamily_list_long[:] def DiscreteContinuousWavelet(name=u"", object filter_bank=None): """ DiscreteContinuousWavelet(name, filter_bank=None) returns a Wavelet or a ContinuousWavelet object depending of the given name. In order to use a built-in wavelet the parameter name must be a valid name from the wavelist() list. To create a custom wavelet object, filter_bank parameter must be specified. It can be either a list of four filters or an object that a `filter_bank` attribute which returns a list of four filters - just like the Wavelet instance itself. For a ContinuousWavelet, filter_bank cannot be used and must remain unset. """ if not name and filter_bank is None: raise TypeError("Wavelet name or filter bank must be specified.") if filter_bank is None: name = name.lower() family_code, family_number = wname_to_code(name) if (wavelet.is_discrete_wavelet(family_code)): return Wavelet(name, filter_bank) else: return ContinuousWavelet(name) else: return Wavelet(name, filter_bank) cdef public class Wavelet [type WaveletType, object WaveletObject]: """ Wavelet(name, filter_bank=None) object describe properties of a wavelet identified by name. In order to use a built-in wavelet the parameter name must be a valid name from the wavelist() list. To create a custom wavelet object, filter_bank parameter must be specified. It can be either a list of four filters or an object that a `filter_bank` attribute which returns a list of four filters - just like the Wavelet instance itself. """ #cdef readonly properties def __cinit__(self, name=u"", object filter_bank=None): cdef object family_code, family_number cdef object filters cdef pywt_index_t filter_length cdef object dec_lo, dec_hi, rec_lo, rec_hi if not name and filter_bank is None: raise TypeError("Wavelet name or filter bank must be specified.") if filter_bank is None: # builtin wavelet self.name = name.lower() family_code, family_number = wname_to_code(self.name) if (wavelet.is_discrete_wavelet(family_code)): self.w = wavelet.discrete_wavelet(family_code, family_number) if self.w is NULL: raise ValueError("Invalid wavelet name.") self.number = family_number else: if hasattr(filter_bank, "filter_bank"): filters = filter_bank.filter_bank if len(filters) != 4: raise ValueError("Expected filter bank with 4 filters, " "got filter bank with %d filters." % len(filters)) elif hasattr(filter_bank, "get_filters_coeffs"): msg = ("Creating custom Wavelets using objects that define " "`get_filters_coeffs` method is deprecated. " "The `filter_bank` parameter should define a " "`filter_bank` attribute instead of " "`get_filters_coeffs` method.") warnings.warn(msg, DeprecationWarning) filters = filter_bank.get_filters_coeffs() if len(filters) != 4: msg = ("Expected filter bank with 4 filters, got filter " "bank with %d filters." % len(filters)) raise ValueError(msg) else: filters = filter_bank if len(filters) != 4: msg = ("Expected list of 4 filters coefficients, " "got %d filters." % len(filters)) raise ValueError(msg) try: dec_lo = np.asarray(filters[0], dtype=np.float64) dec_hi = np.asarray(filters[1], dtype=np.float64) rec_lo = np.asarray(filters[2], dtype=np.float64) rec_hi = np.asarray(filters[3], dtype=np.float64) except TypeError: raise ValueError("Filter bank with numeric values required.") if not (1 == dec_lo.ndim == dec_hi.ndim == rec_lo.ndim == rec_hi.ndim): raise ValueError("All filters in filter bank must be 1D.") filter_length = len(dec_lo) if not (0 < filter_length == len(dec_hi) == len(rec_lo) == len(rec_hi)) > 0: raise ValueError("All filters in filter bank must have " "length greater than 0.") self.w = wavelet.blank_discrete_wavelet(filter_length) if self.w is NULL: raise MemoryError("Could not allocate memory for given " "filter bank.") # copy values to struct copy_object_to_float32_array(dec_lo, self.w.dec_lo_float) copy_object_to_float32_array(dec_hi, self.w.dec_hi_float) copy_object_to_float32_array(rec_lo, self.w.rec_lo_float) copy_object_to_float32_array(rec_hi, self.w.rec_hi_float) copy_object_to_float64_array(dec_lo, self.w.dec_lo_double) copy_object_to_float64_array(dec_hi, self.w.dec_hi_double) copy_object_to_float64_array(rec_lo, self.w.rec_lo_double) copy_object_to_float64_array(rec_hi, self.w.rec_hi_double) self.name = name def __dealloc__(self): if self.w is not NULL: wavelet.free_discrete_wavelet(self.w) self.w = NULL def __len__(self): return self.w.dec_len property dec_lo: "Lowpass decomposition filter" def __get__(self): return float64_array_to_list(self.w.dec_lo_double, self.w.dec_len) property dec_hi: "Highpass decomposition filter" def __get__(self): return float64_array_to_list(self.w.dec_hi_double, self.w.dec_len) property rec_lo: "Lowpass reconstruction filter" def __get__(self): return float64_array_to_list(self.w.rec_lo_double, self.w.rec_len) property rec_hi: "Highpass reconstruction filter" def __get__(self): return float64_array_to_list(self.w.rec_hi_double, self.w.rec_len) property rec_len: "Reconstruction filters length" def __get__(self): return self.w.rec_len property dec_len: "Decomposition filters length" def __get__(self): return self.w.dec_len property family_number: "Wavelet family number" def __get__(self): return self.number property family_name: "Wavelet family name" def __get__(self): return self.w.base.family_name.decode('latin-1') property short_family_name: "Short wavelet family name" def __get__(self): return self.w.base.short_name.decode('latin-1') property orthogonal: "Is orthogonal" def __get__(self): return bool(self.w.base.orthogonal) def __set__(self, int value): self.w.base.orthogonal = (value != 0) property biorthogonal: "Is biorthogonal" def __get__(self): return bool(self.w.base.biorthogonal) def __set__(self, int value): self.w.base.biorthogonal = (value != 0) property symmetry: "Wavelet symmetry" def __get__(self): if self.w.base.symmetry == wavelet.ASYMMETRIC: return "asymmetric" elif self.w.base.symmetry == wavelet.NEAR_SYMMETRIC: return "near symmetric" elif self.w.base.symmetry == wavelet.SYMMETRIC: return "symmetric" elif self.w.base.symmetry == wavelet.ANTI_SYMMETRIC: return "anti-symmetric" else: return "unknown" property vanishing_moments_psi: "Number of vanishing moments for wavelet function" def __get__(self): if self.w.vanishing_moments_psi >= 0: return self.w.vanishing_moments_psi property vanishing_moments_phi: "Number of vanishing moments for scaling function" def __get__(self): if self.w.vanishing_moments_phi >= 0: return self.w.vanishing_moments_phi property filter_bank: """Returns tuple of wavelet filters coefficients (dec_lo, dec_hi, rec_lo, rec_hi) """ def __get__(self): return (self.dec_lo, self.dec_hi, self.rec_lo, self.rec_hi) def get_filters_coeffs(self): warnings.warn("The `get_filters_coeffs` method is deprecated. " "Use `filter_bank` attribute instead.", DeprecationWarning) return self.filter_bank property inverse_filter_bank: """Tuple of inverse wavelet filters coefficients (rec_lo[::-1], rec_hi[::-1], dec_lo[::-1], dec_hi[::-1]) """ def __get__(self): return (self.rec_lo[::-1], self.rec_hi[::-1], self.dec_lo[::-1], self.dec_hi[::-1]) def get_reverse_filters_coeffs(self): warnings.warn("The `get_reverse_filters_coeffs` method is deprecated. " "Use `inverse_filter_bank` attribute instead.", DeprecationWarning) return self.inverse_filter_bank def wavefun(self, int level=8): """ wavefun(self, level=8) Calculates approximations of scaling function (`phi`) and wavelet function (`psi`) on xgrid (`x`) at a given level of refinement. Parameters ---------- level : int, optional Level of refinement (default: 8). Returns ------- [phi, psi, x] : array_like For orthogonal wavelets returns scaling function, wavelet function and xgrid - [phi, psi, x]. [phi_d, psi_d, phi_r, psi_r, x] : array_like For biorthogonal wavelets returns scaling and wavelet function both for decomposition and reconstruction and xgrid Examples -------- >>> import pywt >>> # Orthogonal >>> wavelet = pywt.Wavelet('db2') >>> phi, psi, x = wavelet.wavefun(level=5) >>> # Biorthogonal >>> wavelet = pywt.Wavelet('bior3.5') >>> phi_d, psi_d, phi_r, psi_r, x = wavelet.wavefun(level=5) """ cdef pywt_index_t filter_length "filter_length" cdef pywt_index_t right_extent_length "right_extent_length" cdef pywt_index_t output_length "output_length" cdef pywt_index_t keep_length "keep_length" cdef np.float64_t n, n_mul cdef np.float64_t[::1] n_arr = &n, cdef np.float64_t[::1] n_mul_arr = &n_mul cdef double p "p" cdef double mul "mul" cdef Wavelet other "other" cdef phi_d, psi_d, phi_r, psi_r cdef psi_i cdef np.float64_t[::1] x, psi n = pow(sqrt(2.), level) p = (pow(2., level)) if self.w.base.orthogonal: filter_length = self.w.dec_len output_length = ((filter_length-1) * p + 1) keep_length = get_keep_length(output_length, level, filter_length) output_length = fix_output_length(output_length, keep_length) right_extent_length = get_right_extent_length(output_length, keep_length) # phi, psi, x return [np.concatenate(([0.], keep(upcoef(True, n_arr, self, level, 0), keep_length), np.zeros(right_extent_length))), np.concatenate(([0.], keep(upcoef(False, n_arr, self, level, 0), keep_length), np.zeros(right_extent_length))), np.linspace(0.0, (output_length-1)/p, output_length)] else: if self.w.base.biorthogonal and (self.w.vanishing_moments_psi % 4) != 1: # FIXME: I don't think this branch is well tested n_mul = -n else: n_mul = n other = Wavelet(filter_bank=self.inverse_filter_bank) filter_length = other.w.dec_len output_length = ((filter_length-1) * p) keep_length = get_keep_length(output_length, level, filter_length) output_length = fix_output_length(output_length, keep_length) right_extent_length = get_right_extent_length(output_length, keep_length) phi_d = np.concatenate(([0.], keep(upcoef(True, n_arr, other, level, 0), keep_length), np.zeros(right_extent_length))) psi_d = np.concatenate(([0.], keep(upcoef(False, n_mul_arr, other, level, 0), keep_length), np.zeros(right_extent_length))) filter_length = self.w.dec_len output_length = ((filter_length-1) * p) keep_length = get_keep_length(output_length, level, filter_length) output_length = fix_output_length(output_length, keep_length) right_extent_length = get_right_extent_length(output_length, keep_length) phi_r = np.concatenate(([0.], keep(upcoef(True, n_arr, self, level, 0), keep_length), np.zeros(right_extent_length))) psi_r = np.concatenate(([0.], keep(upcoef(False, n_mul_arr, self, level, 0), keep_length), np.zeros(right_extent_length))) return [phi_d, psi_d, phi_r, psi_r, np.linspace(0.0, (output_length - 1) / p, output_length)] def __str__(self): s = [] for x in [ u"Wavelet %s" % self.name, u" Family name: %s" % self.family_name, u" Short name: %s" % self.short_family_name, u" Filters length: %d" % self.dec_len, u" Orthogonal: %s" % self.orthogonal, u" Biorthogonal: %s" % self.biorthogonal, u" Symmetry: %s" % self.symmetry, u" DWT: True", u" CWT: False" ]: s.append(x.rstrip()) return u'\n'.join(s) def __repr__(self): repr = "{module}.{classname}(name='{name}', filter_bank={filter_bank})" return repr.format(module=type(self).__module__, classname=type(self).__name__, name=self.name, filter_bank=self.filter_bank) cdef public class ContinuousWavelet [type ContinuousWaveletType, object ContinuousWaveletObject]: """ ContinuousWavelet(name) object describe properties of a continuous wavelet identified by name. In order to use a built-in wavelet the parameter name must be a valid name from the wavelist() list. """ #cdef readonly properties def __cinit__(self, name=u"", dtype = None): cdef object family_code, family_number # builtin wavelet self.name = name.lower() if (dtype is None): self.dt = np.float64 else: self.dt = dtype family_code, family_number = wname_to_code(self.name) self.w = wavelet.continous_wavelet(family_code, family_number) if self.w is NULL: raise ValueError("Invalid wavelet name.") self.number = family_number def __dealloc__(self): if self.w is not NULL: wavelet.free_continous_wavelet(self.w) self.w = NULL property family_number: "Wavelet family number" def __get__(self): return self.number property family_name: "Wavelet family name" def __get__(self): return self.w.base.family_name.decode('latin-1') property short_family_name: "Short wavelet family name" def __get__(self): return self.w.base.short_name.decode('latin-1') property orthogonal: "Is orthogonal" def __get__(self): return bool(self.w.base.orthogonal) def __set__(self, int value): self.w.base.orthogonal = (value != 0) property biorthogonal: "Is biorthogonal" def __get__(self): return bool(self.w.base.biorthogonal) def __set__(self, int value): self.w.base.biorthogonal = (value != 0) property complex_cwt: "CWT is complex" def __get__(self): return bool(self.w.complex_cwt) def __set__(self, int value): self.w.complex_cwt = (value != 0) property lower_bound: "Lower Bound" def __get__(self): if self.w.lower_bound != self.w.upper_bound: return self.w.lower_bound def __set__(self, float value): self.w.lower_bound = value property upper_bound: "Upper Bound" def __get__(self): if self.w.upper_bound != self.w.lower_bound: return self.w.upper_bound def __set__(self, float value): self.w.upper_bound = value property center_frequency: "Center frequency (shan, fbsp, cmor)" def __get__(self): if self.w.center_frequency > 0: return self.w.center_frequency def __set__(self, float value): self.w.center_frequency = value property bandwidth_frequency: "Bandwidth frequency (shan, fbsp, cmor)" def __get__(self): if self.w.bandwidth_frequency > 0: return self.w.bandwidth_frequency def __set__(self, float value): self.w.bandwidth_frequency = value property fbsp_order: "order parameter for fbsp" def __get__(self): if self.w.fbsp_order != 0: return self.w.fbsp_order def __set__(self, unsigned int value): self.w.fbsp_order = value property symmetry: "Wavelet symmetry" def __get__(self): if self.w.base.symmetry == wavelet.ASYMMETRIC: return "asymmetric" elif self.w.base.symmetry == wavelet.NEAR_SYMMETRIC: return "near symmetric" elif self.w.base.symmetry == wavelet.SYMMETRIC: return "symmetric" elif self.w.base.symmetry == wavelet.ANTI_SYMMETRIC: return "anti-symmetric" else: return "unknown" def wavefun(self, int level=8, length = None): """ wavefun(self, level=8, length = None) Calculates approximations of wavelet function (`psi`) on xgrid (`x`) at a given level of refinement or length itself. Parameters ---------- level : int, optional Level of refinement (default: 8). Defines the length by 2**level if length is not set. length : int, optional number of samples. If set to None, the length is set to 2**level instead. Returns ------- psi : array_like Wavelet function computed for grid xval xval : array_like grid going from lower_bound to upper_bound Notes ----- The effective support are set with lower_bound and upper_bound The wavelet function is complex for cmor, shan, fbsp and cgau. The complex frequency B-spline wavelet (fbsp) has bandwidth_frequency, center_frequency and fbsp_order as addional parameter The complex Shannon wavelet (shan) has bandwidth_frequency and center_frequency as addional parameter The complex Morlet wavelet (cmor) has bandwidth_frequency and center_frequency as addional parameter Examples -------- >>> import pywt >>> import matplotlib.pyplot as plt >>> lb = -5 >>> ub = 5 >>> n = 1000 >>> wavelet = pywt.ContinuousWavelet("gaus8") >>> wavelet.upper_bound = ub >>> wavelet.lower_bound = lb >>> [psi,xval] = wavelet.wavefun(length=n) >>> plt.plot(xval,psi) # doctest: +ELLIPSIS [] >>> plt.title("Gaussian Wavelet of order 8") # doctest: +ELLIPSIS >>> plt.show() # doctest: +SKIP --------- >>> import pywt >>> import matplotlib.pyplot as plt >>> lb = -5 >>> ub = 5 >>> n = 1000 >>> wavelet = pywt.ContinuousWavelet("cgau4") >>> wavelet.upper_bound = ub >>> wavelet.lower_bound = lb >>> [psi,xval] = wavelet.wavefun(length=n) >>> plt.subplot(211) # doctest: +ELLIPSIS >>> plt.plot(xval,np.real(psi)) # doctest: +ELLIPSIS [] >>> plt.title("Real part") # doctest: +ELLIPSIS >>> plt.subplot(212) # doctest: +ELLIPSIS >>> plt.plot(xval,np.imag(psi)) # doctest: +ELLIPSIS [] >>> plt.title("Imaginary part") # doctest: +ELLIPSIS >>> plt.show() # doctest: +SKIP """ cdef pywt_index_t output_length "output_length" cdef psi_i, psi_r, psi cdef np.float64_t[::1] x64, psi64 cdef np.float32_t[::1] x32, psi32 p = (pow(2., level)) if self.w is not NULL: if length is None: output_length = p else: output_length = length if (self.dt == np.float64): x64 = np.linspace(self.w.lower_bound, self.w.upper_bound, output_length, dtype=self.dt) else: x32 = np.linspace(self.w.lower_bound, self.w.upper_bound, output_length, dtype=self.dt) if self.w.complex_cwt: if (self.dt == np.float64): psi_r, psi_i = cwt_psi_single(x64, self, output_length) return [np.asarray(psi_r, dtype=self.dt) + 1j * np.asarray(psi_i, dtype=self.dt), np.asarray(x64, dtype=self.dt)] else: psi_r, psi_i = cwt_psi_single(x32, self, output_length) return [np.asarray(psi_r, dtype=self.dt) + 1j * np.asarray(psi_i, dtype=self.dt), np.asarray(x32, dtype=self.dt)] else: if (self.dt == np.float64): psi = cwt_psi_single(x64, self, output_length) return [np.asarray(psi, dtype=self.dt), np.asarray(x64, dtype=self.dt)] else: psi = cwt_psi_single(x32, self, output_length) return [np.asarray(psi, dtype=self.dt), np.asarray(x32, dtype=self.dt)] def __str__(self): s = [] for x in [ u"ContinuousWavelet %s" % self.name, u" Family name: %s" % self.family_name, u" Short name: %s" % self.short_family_name, u" Symmetry: %s" % self.symmetry, u" DWT: False", u" CWT: True", u" Complex CWT: %s" % self.complex_cwt ]: s.append(x.rstrip()) return u'\n'.join(s) def __repr__(self): repr = "{module}.{classname}(name='{name}')" return repr.format(module=type(self).__module__, classname=type(self).__name__, name=self.name) cdef pywt_index_t get_keep_length(pywt_index_t output_length, int level, pywt_index_t filter_length): cdef pywt_index_t lplus "lplus" cdef pywt_index_t keep_length "keep_length" cdef int i "i" lplus = filter_length - 2 keep_length = 1 for i in range(level): keep_length = 2*keep_length+lplus return keep_length cdef pywt_index_t fix_output_length(pywt_index_t output_length, pywt_index_t keep_length): if output_length-keep_length-2 < 0: output_length = keep_length+2 return output_length cdef pywt_index_t get_right_extent_length(pywt_index_t output_length, pywt_index_t keep_length): return output_length - keep_length - 1 def wavelet_from_object(wavelet): return c_wavelet_from_object(wavelet) cdef c_wavelet_from_object(wavelet): if isinstance(wavelet, (Wavelet, ContinuousWavelet)): return wavelet else: return Wavelet(wavelet) cpdef np.dtype _check_dtype(data): """Check for cA/cD input what (if any) the dtype is.""" cdef np.dtype dt try: dt = data.dtype if dt not in (np.float64, np.float32): # integer input was always accepted; convert to float64 dt = np.dtype('float64') except AttributeError: dt = np.dtype('float64') return dt # TODO: Can this be replaced by the take parameter of upcoef? 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PyMethod_New(func, self) : PyInstanceMethod_New(func)) #else #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) #endif #if PY_VERSION_HEX >= 0x030500B1 #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) #elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 typedef struct { unaryfunc am_await; unaryfunc am_aiter; unaryfunc am_anext; } __Pyx_PyAsyncMethodsStruct; #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) #else #define __Pyx_PyType_AsAsync(obj) NULL #endif #ifndef CYTHON_RESTRICT #if defined(__GNUC__) #define CYTHON_RESTRICT __restrict__ #elif defined(_MSC_VER) && _MSC_VER >= 1400 #define CYTHON_RESTRICT __restrict #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_RESTRICT restrict #else #define CYTHON_RESTRICT #endif #endif #define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) #ifndef CYTHON_INLINE #if defined(__GNUC__) #define CYTHON_INLINE __inline__ #elif defined(_MSC_VER) #define CYTHON_INLINE __inline #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_INLINE inline #else #define CYTHON_INLINE #endif #endif #if defined(WIN32) || defined(MS_WINDOWS) #define _USE_MATH_DEFINES #endif #include #ifdef NAN #define __PYX_NAN() ((float) NAN) #else static CYTHON_INLINE float __PYX_NAN() { float value; memset(&value, 0xFF, sizeof(value)); return value; } #endif #if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) #define __Pyx_truncl trunc #else #define __Pyx_truncl truncl #endif #define __PYX_ERR(f_index, lineno, Ln_error) \ { \ __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ } #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) #else #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) #endif #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #define __PYX_HAVE__pywt___extensions___swt #define __PYX_HAVE_API__pywt___extensions___swt #include "c/common.h" #include "c/wavelets.h" #include "c/wt.h" #include "c/cwt.h" #include "string.h" #include "stdio.h" #include "stdlib.h" #include "numpy/arrayobject.h" #include "numpy/ufuncobject.h" #include "pythread.h" #include "pystate.h" #ifdef _OPENMP #include #endif /* _OPENMP */ #ifdef PYREX_WITHOUT_ASSERTIONS #define CYTHON_WITHOUT_ASSERTIONS #endif #ifndef CYTHON_UNUSED # if defined(__GNUC__) # if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif #endif #ifndef CYTHON_NCP_UNUSED # if CYTHON_COMPILING_IN_CPYTHON # define CYTHON_NCP_UNUSED # else # define CYTHON_NCP_UNUSED CYTHON_UNUSED # endif #endif typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 #define __PYX_DEFAULT_STRING_ENCODING "" #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #define __Pyx_uchar_cast(c) ((unsigned char)c) #define __Pyx_long_cast(x) ((long)x) #define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ (sizeof(type) < sizeof(Py_ssize_t)) ||\ (sizeof(type) > sizeof(Py_ssize_t) &&\ likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX) &&\ (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ v == (type)PY_SSIZE_T_MIN))) ||\ (sizeof(type) == sizeof(Py_ssize_t) &&\ (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX))) ) #if defined (__cplusplus) && __cplusplus >= 201103L #include #define __Pyx_sst_abs(value) std::abs(value) #elif SIZEOF_INT >= SIZEOF_SIZE_T #define __Pyx_sst_abs(value) abs(value) #elif SIZEOF_LONG >= SIZEOF_SIZE_T #define __Pyx_sst_abs(value) labs(value) #elif defined (_MSC_VER) && defined (_M_X64) #define __Pyx_sst_abs(value) _abs64(value) #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define __Pyx_sst_abs(value) llabs(value) #elif defined (__GNUC__) #define __Pyx_sst_abs(value) __builtin_llabs(value) #else #define __Pyx_sst_abs(value) ((value<0) ? -value : value) #endif static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject*); static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); #define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) #define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) #define __Pyx_PyBytes_FromString PyBytes_FromString #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); #if PY_MAJOR_VERSION < 3 #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #else #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize #endif #define __Pyx_PyObject_AsSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) #define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) #define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) #define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) #define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) #if PY_MAJOR_VERSION < 3 static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { const Py_UNICODE *u_end = u; while (*u_end++) ; return (size_t)(u_end - u - 1); } #else #define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen #endif #define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode #define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode #define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) #define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) #define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False)) static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); #if CYTHON_COMPILING_IN_CPYTHON #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) #else #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) #endif #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) #else #define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) #endif #define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII static int __Pyx_sys_getdefaultencoding_not_ascii; static int __Pyx_init_sys_getdefaultencoding_params(void) { PyObject* sys; PyObject* default_encoding = NULL; PyObject* ascii_chars_u = NULL; PyObject* ascii_chars_b = NULL; const char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (!sys) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); Py_DECREF(sys); if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; if (strcmp(default_encoding_c, "ascii") == 0) { __Pyx_sys_getdefaultencoding_not_ascii = 0; } else { char ascii_chars[128]; int c; for (c = 0; c < 128; c++) { ascii_chars[c] = c; } __Pyx_sys_getdefaultencoding_not_ascii = 1; ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); if (!ascii_chars_u) goto bad; ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { PyErr_Format( PyExc_ValueError, "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", default_encoding_c); goto bad; } Py_DECREF(ascii_chars_u); Py_DECREF(ascii_chars_b); } Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return -1; } #endif #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) #else #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT static char* __PYX_DEFAULT_STRING_ENCODING; static int __Pyx_init_sys_getdefaultencoding_params(void) { PyObject* sys; PyObject* default_encoding = NULL; char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (!sys) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); Py_DECREF(sys); if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(default_encoding); return -1; } #endif #endif /* Test for GCC > 2.95 */ #if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) #define likely(x) __builtin_expect(!!(x), 1) #define unlikely(x) __builtin_expect(!!(x), 0) #else /* !__GNUC__ or GCC < 2.95 */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ */ static PyObject *__pyx_m; static PyObject *__pyx_d; static PyObject *__pyx_b; static PyObject *__pyx_empty_tuple; static PyObject *__pyx_empty_bytes; static PyObject *__pyx_empty_unicode; static int __pyx_lineno; static int __pyx_clineno = 0; static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; /* None.proto */ #if !defined(CYTHON_CCOMPLEX) #if defined(__cplusplus) #define CYTHON_CCOMPLEX 1 #elif defined(_Complex_I) #define CYTHON_CCOMPLEX 1 #else #define CYTHON_CCOMPLEX 0 #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus #include #else #include #endif #endif #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) #undef _Complex_I #define _Complex_I 1.0fj #endif static const char *__pyx_f[] = { "pywt/_extensions/_swt.pyx", "__init__.pxd", "stringsource", "type.pxd", "pywt/_extensions/_pywt.pxd", }; /* MemviewSliceStruct.proto */ struct __pyx_memoryview_obj; typedef struct { struct __pyx_memoryview_obj *memview; char *data; Py_ssize_t shape[8]; Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; /* BufferFormatStructs.proto */ #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; struct __Pyx_StructField_* fields; size_t size; size_t arraysize[8]; int ndim; char typegroup; char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; /* Atomics.proto */ #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 #include #undef __pyx_atomic_int_type #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #pragma message ("Using MSVC atomics") #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview)\ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview)\ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview)\ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":725 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":726 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":727 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":728 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":732 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":733 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":734 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":735 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":739 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":740 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":749 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":750 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":751 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":753 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":754 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":755 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":757 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":758 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":760 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":761 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":762 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; /* "_pywt.pxd":4 * cimport numpy as np * * ctypedef Py_ssize_t pywt_index_t # <<<<<<<<<<<<<< * * ctypedef fused data_t: */ typedef Py_ssize_t __pyx_t_4pywt_11_extensions_5_pywt_pywt_index_t; /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; #endif /*--- Type declarations ---*/ struct WaveletObject; struct ContinuousWaveletObject; struct __pyx_array_obj; struct __pyx_MemviewEnum_obj; struct __pyx_memoryview_obj; struct __pyx_memoryviewslice_obj; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":764 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":765 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; /* "../../../../../../../home/lee8rx/anaconda/envs/pyir/lib/python3.5/site-packages/Cython/Includes/numpy/__init__.pxd":766 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; 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(PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, int wraparound, int boundscheck); /* IterFinish.proto */ static CYTHON_INLINE int __Pyx_IterFinish(void); /* PyObjectCallMethO.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); #endif /* PyObjectCallNoArg.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); #else #define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL) #endif /* PyObjectCallOneArg.proto */ static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); /* PyObjectCallMethod0.proto */ static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); /* RaiseNeedMoreValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); /* RaiseTooManyValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); /* UnpackItemEndCheck.proto */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /* RaiseNoneIterError.proto */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); /* UnpackTupleError.proto */ static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); /* UnpackTuple2.proto */ static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** value1, PyObject** value2, int is_tuple, int has_known_size, int decref_tuple); /* dict_iter.proto */ static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name, Py_ssize_t* p_orig_length, int* p_is_dict); static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos, PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict); /* ListAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif /* ArgTypeTest.proto */ static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact); /* PyIntBinop.proto */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_RemainderObjC(PyObject *op1, PyObject *op2, long intval, int inplace); #else #define __Pyx_PyInt_RemainderObjC(op1, op2, intval, inplace)\ (inplace ? PyNumber_InPlaceRemainder(op1, op2) : PyNumber_Remainder(op1, op2)) #endif /* GetModuleGlobalName.proto */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /* BufferFormatCheck.proto */ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type); // PROTO /* MemviewSliceInit.proto */ #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); /* ExtTypeTest.proto */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /* IncludeStringH.proto */ #include /* BytesEquals.proto */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); /* UnicodeEquals.proto */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /* StrEquals.proto */ #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals #else #define __Pyx_PyString_Equals __Pyx_PyBytes_Equals #endif /* None.proto */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); /* UnaryNegOverflows.proto */ #define UNARY_NEG_WOULD_OVERFLOW(x)\ (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ /* GetAttr.proto */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /* decode_c_string.proto */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); /* SwapException.proto */ #if CYTHON_COMPILING_IN_CPYTHON #define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); #endif /* GetItemInt.proto */ #define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ __Pyx_GetItemInt_Generic(o, to_py_func(i)))) #define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ /* ListCompAppend.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif /* PyIntBinop.proto */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace); #else #define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\ (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) #endif /* ListExtend.proto */ static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { #if CYTHON_COMPILING_IN_CPYTHON PyObject* none = _PyList_Extend((PyListObject*)L, v); if (unlikely(!none)) return -1; Py_DECREF(none); return 0; #else return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); #endif } /* None.proto */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); /* ForceInitThreads.proto */ #ifndef __PYX_FORCE_INIT_THREADS #define __PYX_FORCE_INIT_THREADS 0 #endif /* None.proto */ static CYTHON_INLINE long __Pyx_div_long(long, long); /* WriteUnraisableException.proto */ static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, const char *filename, int full_traceback, int nogil); /* StringJoin.proto */ #if PY_MAJOR_VERSION < 3 #define __Pyx_PyString_Join __Pyx_PyBytes_Join #define __Pyx_PyBaseString_Join(s, v) (PyUnicode_CheckExact(s) ? PyUnicode_Join(s, v) : __Pyx_PyBytes_Join(s, v)) #else #define __Pyx_PyString_Join PyUnicode_Join #define __Pyx_PyBaseString_Join PyUnicode_Join #endif #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION < 3 #define __Pyx_PyBytes_Join _PyString_Join #else #define __Pyx_PyBytes_Join _PyBytes_Join #endif #else static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values); #endif /* SetVTable.proto */ static int __Pyx_SetVtable(PyObject *dict, void *vtable); /* FetchCommonType.proto */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); /* CythonFunction.proto */ #define __Pyx_CyFunction_USED 1 #include #define __Pyx_CYFUNCTION_STATICMETHOD 0x01 #define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 #define __Pyx_CYFUNCTION_CCLASS 0x04 #define __Pyx_CyFunction_GetClosure(f)\ (((__pyx_CyFunctionObject *) (f))->func_closure) #define __Pyx_CyFunction_GetClassObj(f)\ (((__pyx_CyFunctionObject *) (f))->func_classobj) #define __Pyx_CyFunction_Defaults(type, f)\ ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) #define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) typedef struct { PyCFunctionObject func; #if PY_VERSION_HEX < 0x030500A0 PyObject *func_weakreflist; #endif PyObject *func_dict; PyObject *func_name; PyObject *func_qualname; PyObject *func_doc; PyObject *func_globals; PyObject *func_code; PyObject *func_closure; PyObject *func_classobj; void *defaults; int defaults_pyobjects; int flags; PyObject *defaults_tuple; PyObject *defaults_kwdict; PyObject *(*defaults_getter)(PyObject *); PyObject *func_annotations; } __pyx_CyFunctionObject; static PyTypeObject *__pyx_CyFunctionType = 0; #define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject* code); static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, size_t size, int pyobjects); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, PyObject *tuple); static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, PyObject *dict); static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, PyObject *dict); static int __pyx_CyFunction_init(void); /* FusedFunction.proto */ typedef struct { __pyx_CyFunctionObject func; PyObject *__signatures__; PyObject *type; PyObject *self; } __pyx_FusedFunctionObject; #define __pyx_FusedFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ __pyx_FusedFunction_New(__pyx_FusedFunctionType, ml, flags, qualname, self, module, globals, code) static PyObject *__pyx_FusedFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject *qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject *code); static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self); static PyTypeObject *__pyx_FusedFunctionType = NULL; static int __pyx_FusedFunction_init(void); #define __Pyx_FusedFunction_USED /* CodeObjectCache.proto */ typedef struct { PyCodeObject* code_object; int code_line; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); /* AddTraceback.proto */ static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif /* BufferStructDeclare.proto */ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; /* None.proto */ static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; /* MemviewSliceIsContig.proto */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); /* OverlappingSlices.proto */ static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); /* Capsule.proto */ static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); /* TypeInfoCompare.proto */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); /* MemviewSliceValidateAndInit.proto */ static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_char(unsigned char value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); /* BytesContains.proto */ static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_Py_intptr_t(Py_intptr_t value); /* MemviewDtypeToObject.proto */ static CYTHON_INLINE PyObject *__pyx_memview_get_size_t(const char *itemp); static CYTHON_INLINE int __pyx_memview_set_size_t(const char *itemp, PyObject *obj); /* None.proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(__cplusplus) && CYTHON_CCOMPLEX && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif /* None.proto */ static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif /* None.proto */ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); /* None.proto */ #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); /* MemviewSliceCopyTemplate.proto */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); /* CIntFromPy.proto */ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *); /* TypeInfoToFormat.proto */ struct __pyx_typeinfo_string { char string[3]; }; static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type); /* CIntFromPy.proto */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); /* CopyContentsUtility.proto */ #define __pyx_memoryview_copy_slice_dc_size_t_c(slice)\ __pyx_memoryview_copy_new_contig(&slice, "c", 1,\ sizeof(size_t), (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE),\ 0) /* CIntFromPy.proto */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); /* CIntFromPy.proto */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_size_t(PyObject *); /* CheckBinaryVersion.proto */ static int __Pyx_check_binary_version(void); /* PyIdentifierFromString.proto */ #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif /* ModuleImport.proto */ static PyObject *__Pyx_ImportModule(const char *name); /* TypeImport.proto */ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /* FunctionImport.proto */ static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig); /* InitStrings.proto */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ /* Module declarations from 'pywt._extensions.common' */ /* Module declarations from 'pywt._extensions.wavelet' */ /* Module declarations from 'pywt._extensions.c_wt' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'cpython' */ /* Module declarations from 'cpython.object' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'pywt._extensions._pywt' */ static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_Wavelet = 0; static PyTypeObject *__pyx_ptype_4pywt_11_extensions_5_pywt_ContinuousWavelet = 0; static PyArray_Descr *(*__pyx_f_4pywt_11_extensions_5_pywt__check_dtype)(PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *(*__pyx_f_4pywt_11_extensions_5_pywt_c_wavelet_from_object)(PyObject *); /*proto*/ /* Module declarations from 'pywt._extensions._swt' */ static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static int __pyx_memoryview_thread_locks_used; static PyThread_type_lock __pyx_memoryview_thread_locks[8]; static PyObject *__pyx_f_4pywt_11_extensions_4_swt_swt_axis(PyArrayObject *, struct WaveletObject *, size_t, size_t, int __pyx_skip_dispatch, struct __pyx_opt_args_4pywt_11_extensions_4_swt_swt_axis *__pyx_optional_args); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static PyObject *__pyx_format_from_typeinfo(__Pyx_TypeInfo *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_size_t = { "size_t", NULL, sizeof(size_t), { 0 }, 0, IS_UNSIGNED(size_t) ? 'U' : 'I', IS_UNSIGNED(size_t), 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { "float32_t", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 }; #define __Pyx_MODULE_NAME "pywt._extensions._swt" int __pyx_module_is_main_pywt___extensions___swt = 0; /* Implementation of 'pywt._extensions._swt' */ static PyObject *__pyx_builtin_ImportError; static PyObject *__pyx_builtin_AttributeError; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_zip; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static const char __pyx_k_[] = "()"; static const char __pyx_k_O[] = "O"; static const char __pyx_k_T[] = "T{"; static const char __pyx_k_c[] = "c"; static const char __pyx_k_i[] = "i"; static const char __pyx_k_s[] = "(%s)"; static const char __pyx_k_w[] = "w"; static const char __pyx_k__3[] = "|"; static const char __pyx_k_cA[] = "cA"; static const char __pyx_k_cD[] = "cD"; static const char __pyx_k_id[] = "id"; static const char __pyx_k_np[] = "np"; static const char __pyx_k__43[] = "^"; static const char __pyx_k__44[] = ""; static const char __pyx_k__45[] = ":"; static const char __pyx_k__46[] = "}"; static const char __pyx_k__47[] = ","; static const char __pyx_k_msg[] = "msg"; static const char __pyx_k_obj[] = "obj"; static const char __pyx_k_ret[] = "ret"; static const char __pyx_k_swt[] = "swt"; static const char __pyx_k_zip[] = "zip"; static const char __pyx_k_args[] = "args"; static const char __pyx_k_axis[] = "axis"; static const char __pyx_k_base[] = "base"; static const char __pyx_k_copy[] = "copy"; static const char __pyx_k_data[] = "data"; static const char __pyx_k_join[] = "join"; static const char __pyx_k_kind[] = "kind"; static const char __pyx_k_main[] = "__main__"; static const char __pyx_k_mode[] = "mode"; static const char __pyx_k_name[] = "name"; static const char __pyx_k_ndim[] = "ndim"; static const char __pyx_k_pack[] = "pack"; static const char __pyx_k_size[] = "size"; static const char __pyx_k_step[] = "step"; static const char __pyx_k_stop[] = "stop"; static const char __pyx_k_test[] = "__test__"; static const char __pyx_k_ASCII[] = "ASCII"; static const char __pyx_k_class[] = "__class__"; static const char __pyx_k_dtype[] = "dtype"; static const char __pyx_k_empty[] = "empty"; static const char __pyx_k_error[] = "error"; static const char __pyx_k_flags[] = "flags"; static const char __pyx_k_level[] = "level"; static const char __pyx_k_numpy[] = "numpy"; static const char __pyx_k_range[] = "range"; static const char __pyx_k_shape[] = "shape"; static const char __pyx_k_split[] = "split"; static const char __pyx_k_start[] = "start"; static const char __pyx_k_strip[] = "strip"; static const char __pyx_k_zeros[] = "zeros"; static const char __pyx_k_astype[] = "astype"; static const char __pyx_k_encode[] = "encode"; static const char __pyx_k_format[] = "format"; static const char __pyx_k_import[] = "__import__"; static const char __pyx_k_kwargs[] = "kwargs"; static const char __pyx_k_name_2[] = "__name__"; static const char __pyx_k_retval[] = "retval"; static const char __pyx_k_struct[] = "struct"; static const char __pyx_k_unpack[] = "unpack"; static const char __pyx_k_float32[] = "float32"; static const char __pyx_k_float64[] = "float64"; static const char __pyx_k_fortran[] = "fortran"; static const char __pyx_k_memview[] = "memview"; static const char __pyx_k_ndarray[] = "ndarray"; static const char __pyx_k_wavelet[] = "wavelet"; static const char __pyx_k_Ellipsis[] = "Ellipsis"; static const char __pyx_k_defaults[] = "defaults"; static const char __pyx_k_itemsize[] = "itemsize"; static const char __pyx_k_TypeError[] = "TypeError"; static const char __pyx_k_data_size[] = "data_size"; static const char __pyx_k_end_level[] = "end_level"; static const char __pyx_k_enumerate[] = "enumerate"; static const char __pyx_k_float32_t[] = "float32_t"; static const char __pyx_k_float64_t[] = "float64_t"; static const char __pyx_k_input_len[] = "input_len"; static const char __pyx_k_IndexError[] = "IndexError"; static const char __pyx_k_ValueError[] = "ValueError"; static const char __pyx_k_output_len[] = "output_len"; static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; static const char __pyx_k_signatures[] = "signatures"; static const char __pyx_k_ImportError[] = "ImportError"; static const char __pyx_k_MemoryError[] = "MemoryError"; static const char __pyx_k_start_level[] = "start_level"; static const char __pyx_k_C_swt_failed[] = "C swt failed."; static const char __pyx_k_RuntimeError[] = "RuntimeError"; static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; static const char __pyx_k_swt_max_level[] = "swt_max_level"; static const char __pyx_k_AttributeError[] = "AttributeError"; static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; static const char __pyx_k_strided_and_direct[] = ""; static const char __pyx_k_strided_and_indirect[] = ""; static const char __pyx_k_Invalid_output_length[] = "Invalid output length."; static const char __pyx_k_contiguous_and_direct[] = ""; static const char __pyx_k_pywt__extensions__swt[] = "pywt._extensions._swt"; static const char __pyx_k_MemoryView_of_r_object[] = ""; static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; static const char __pyx_k_contiguous_and_indirect[] = ""; static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; static const char __pyx_k_C_wavelet_transform_failed[] = "C wavelet transform failed"; static const char __pyx_k_Length_of_data_must_be_even[] = "Length of data must be even."; static const char __pyx_k_No_matching_signature_found[] = "No matching signature found"; static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; static const char __pyx_k_Expected_at_least_d_arguments[] = "Expected at least %d arguments"; static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; static const char __pyx_k_strided_and_direct_or_indirect[] = ""; static const char __pyx_k_media_Data1_src_repositories_my[] = "/media/Data1/src_repositories/my_git/pyir/pywt_release/pywt/pywt/_extensions/_swt.pyx"; static const char __pyx_k_start_level_must_be_less_than_d[] = "start_level must be less than %d."; static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; static const char __pyx_k_Array_must_be_floating_point_not[] = "Array must be floating point, not {}"; static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; static const char __pyx_k_Function_call_with_ambiguous_arg[] = "Function call with ambiguous argument types"; static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static const char __pyx_k_Level_value_must_be_greater_than[] = "Level value must be greater than zero."; static const char __pyx_k_Level_value_too_high_max_level_f[] = "Level value too high (max level for current data size and start_level is %d)."; static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; static const char __pyx_k_swt_axis_assumes_output_shape_is[] = "swt_axis assumes output_shape is the same as input_shape"; static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; static PyObject *__pyx_kp_s_; static PyObject *__pyx_n_s_ASCII; static PyObject *__pyx_kp_s_Array_must_be_floating_point_not; static PyObject *__pyx_n_s_AttributeError; static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; static PyObject *__pyx_kp_s_C_swt_failed; static PyObject *__pyx_kp_s_C_wavelet_transform_failed; static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; static PyObject *__pyx_kp_s_Cannot_index_with_type_s; static PyObject *__pyx_n_s_Ellipsis; static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; static PyObject *__pyx_kp_s_Expected_at_least_d_arguments; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; static PyObject *__pyx_kp_s_Function_call_with_ambiguous_arg; static PyObject *__pyx_n_s_ImportError; static PyObject *__pyx_n_s_IndexError; static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; static PyObject *__pyx_kp_s_Invalid_output_length; static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; static PyObject *__pyx_kp_s_Length_of_data_must_be_even; static PyObject *__pyx_kp_s_Level_value_must_be_greater_than; static PyObject *__pyx_kp_s_Level_value_too_high_max_level_f; static PyObject *__pyx_n_s_MemoryError; static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; static PyObject *__pyx_kp_s_MemoryView_of_r_object; static PyObject *__pyx_kp_s_No_matching_signature_found; static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; static PyObject *__pyx_n_b_O; static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; static PyObject *__pyx_n_s_RuntimeError; static PyObject *__pyx_kp_b_T; static PyObject *__pyx_n_s_TypeError; static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; static PyObject *__pyx_n_s_ValueError; static PyObject *__pyx_kp_s__3; static PyObject *__pyx_kp_b__43; static PyObject *__pyx_kp_b__44; static PyObject *__pyx_kp_b__45; static PyObject *__pyx_kp_b__46; static PyObject *__pyx_kp_u__47; static PyObject *__pyx_n_s_allocate_buffer; static PyObject *__pyx_n_s_args; static PyObject *__pyx_n_s_astype; static PyObject *__pyx_n_s_axis; static PyObject *__pyx_n_s_base; static PyObject *__pyx_n_s_c; static PyObject *__pyx_n_u_c; 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static PyObject *__pyx_n_s_import; static PyObject *__pyx_n_s_input_len; static PyObject *__pyx_n_s_itemsize; static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; static PyObject *__pyx_n_s_join; static PyObject *__pyx_n_s_kind; static PyObject *__pyx_n_s_kwargs; static PyObject *__pyx_n_s_level; static PyObject *__pyx_n_s_main; static PyObject *__pyx_kp_s_media_Data1_src_repositories_my; static PyObject *__pyx_n_s_memview; static PyObject *__pyx_n_s_mode; static PyObject *__pyx_n_s_msg; static PyObject *__pyx_n_s_name; static PyObject *__pyx_n_s_name_2; static PyObject *__pyx_n_s_ndarray; static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; static PyObject *__pyx_n_s_ndim; static PyObject *__pyx_n_s_np; static PyObject *__pyx_n_s_numpy; static PyObject *__pyx_n_s_obj; static PyObject *__pyx_n_s_output_len; static PyObject *__pyx_n_s_pack; static PyObject *__pyx_n_s_pywt__extensions__swt; static PyObject *__pyx_n_s_pyx_getbuffer; static PyObject *__pyx_n_s_pyx_vtable; static PyObject *__pyx_n_s_range; static PyObject *__pyx_n_s_ret; static PyObject *__pyx_n_s_retval; static PyObject *__pyx_kp_u_s; static PyObject *__pyx_n_s_shape; static PyObject *__pyx_n_s_signatures; static PyObject *__pyx_n_s_size; static PyObject *__pyx_n_s_split; static PyObject *__pyx_n_s_start; static PyObject *__pyx_n_s_start_level; static PyObject *__pyx_kp_s_start_level_must_be_less_than_d; static PyObject *__pyx_n_s_step; static PyObject *__pyx_n_s_stop; static PyObject *__pyx_kp_s_strided_and_direct; static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; static PyObject *__pyx_kp_s_strided_and_indirect; static PyObject *__pyx_n_s_strip; static PyObject *__pyx_n_s_struct; static PyObject *__pyx_n_s_swt; static PyObject *__pyx_kp_s_swt_axis_assumes_output_shape_is; static PyObject *__pyx_n_s_swt_max_level; static PyObject *__pyx_n_s_test; static PyObject *__pyx_kp_s_unable_to_allocate_array_data; static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; static PyObject *__pyx_n_s_unpack; static PyObject *__pyx_n_s_w; static PyObject *__pyx_n_s_wavelet; static PyObject *__pyx_n_s_zeros; static PyObject *__pyx_n_s_zip; static PyObject *__pyx_pf_4pywt_11_extensions_4_swt_swt_max_level(CYTHON_UNUSED PyObject *__pyx_self, size_t __pyx_v_input_len); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_swt_2swt(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_swt_6swt(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_data, struct WaveletObject *__pyx_v_wavelet, size_t __pyx_v_level, size_t __pyx_v_start_level); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_swt_8swt(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_data, struct WaveletObject *__pyx_v_wavelet, size_t __pyx_v_level, size_t __pyx_v_start_level); /* proto */ static PyObject *__pyx_pf_4pywt_11_extensions_4_swt_4swt_axis(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_data, struct WaveletObject *__pyx_v_wavelet, size_t __pyx_v_level, size_t __pyx_v_start_level, unsigned int __pyx_v_axis); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); 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/* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); 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__pyx_t_1 = ((__pyx_v_step < 0) != 0); __pyx_t_2 = __pyx_t_1; __pyx_L6_bool_binop_done:; __pyx_v_negative_step = __pyx_t_2; /* "View.MemoryView":823 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ __pyx_t_1 = (__pyx_v_have_step != 0); if (__pyx_t_1) { } else { __pyx_t_2 = __pyx_t_1; goto __pyx_L9_bool_binop_done; } __pyx_t_1 = ((__pyx_v_step == 0) != 0); __pyx_t_2 = __pyx_t_1; __pyx_L9_bool_binop_done:; if (__pyx_t_2) { /* "View.MemoryView":824 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) __PYX_ERR(2, 824, __pyx_L1_error) /* "View.MemoryView":823 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ } /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { /* "View.MemoryView":828 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":829 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< * if start < 0: * start = 0 */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":830 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":831 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< * elif start >= shape: * if negative_step: */ __pyx_v_start = 0; /* "View.MemoryView":830 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ } /* "View.MemoryView":828 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ goto __pyx_L12; } /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":833 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":834 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = shape */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":833 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L14; } /* "View.MemoryView":836 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ /*else*/ { __pyx_v_start = __pyx_v_shape; } __pyx_L14:; /* "View.MemoryView":832 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ } __pyx_L12:; /* "View.MemoryView":827 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ goto __pyx_L11; } /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":839 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); /* "View.MemoryView":838 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ goto __pyx_L15; } /* "View.MemoryView":841 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ /*else*/ { __pyx_v_start = 0; } __pyx_L15:; } __pyx_L11:; /* "View.MemoryView":843 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { /* "View.MemoryView":844 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":845 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< * if stop < 0: * stop = 0 */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); /* "View.MemoryView":846 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":847 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< * elif stop > shape: * stop = shape */ __pyx_v_stop = 0; /* "View.MemoryView":846 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ } /* "View.MemoryView":844 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ goto __pyx_L17; } /* "View.MemoryView":848 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":849 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_stop = __pyx_v_shape; /* "View.MemoryView":848 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ } __pyx_L17:; /* "View.MemoryView":843 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ goto __pyx_L16; } /* "View.MemoryView":851 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ /*else*/ { __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":852 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< * else: * stop = shape */ __pyx_v_stop = -1L; /* "View.MemoryView":851 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ goto __pyx_L19; } /* "View.MemoryView":854 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< * * if not have_step: */ /*else*/ { __pyx_v_stop = __pyx_v_shape; } __pyx_L19:; } __pyx_L16:; /* "View.MemoryView":856 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":857 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< * * */ __pyx_v_step = 1; /* "View.MemoryView":856 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ } /* "View.MemoryView":861 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":863 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":864 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); /* "View.MemoryView":863 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ } /* "View.MemoryView":866 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":867 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< * * */ __pyx_v_new_shape = 0; /* "View.MemoryView":866 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ } /* "View.MemoryView":870 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":871 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to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1078 * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: */ __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; __pyx_v_to_object_func = __pyx_t_3; /* "View.MemoryView":1079 * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< * else: * to_object_func = NULL */ __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; __pyx_v_to_dtype_func = __pyx_t_4; /* "View.MemoryView":1077 * cdef 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return -arg */ /* function exit code */ __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1099 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1104 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1105 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1107 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * 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Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; /* "View.MemoryView":1130 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1131 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1132 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1133 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1135 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0); if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } /* "View.MemoryView":1137 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize * dst_extent) * else: */ __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); if (__pyx_t_2) { __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); } __pyx_t_3 = (__pyx_t_2 != 0); __pyx_t_1 = __pyx_t_3; __pyx_L5_bool_binop_done:; /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ if (__pyx_t_1) { /* "View.MemoryView":1138 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)); /* "View.MemoryView":1136 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ goto __pyx_L4; } /* "View.MemoryView":1140 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize) * src_data += src_stride */ /*else*/ { __pyx_t_4 = __pyx_v_dst_extent; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1141 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); /* "View.MemoryView":1142 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * else: */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1143 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L4:; /* "View.MemoryView":1135 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ goto __pyx_L3; } /* "View.MemoryView":1145 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * 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__pyx_vtable_memoryview; static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryview_obj *p; PyObject *o; if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { o = (*t->tp_alloc)(t, 0); } else { o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); } if (unlikely(!o)) return 0; p = ((struct __pyx_memoryview_obj *)o); p->__pyx_vtab = __pyx_vtabptr_memoryview; p->obj = Py_None; Py_INCREF(Py_None); p->_size = Py_None; Py_INCREF(Py_None); p->_array_interface = Py_None; Py_INCREF(Py_None); p->view.obj = NULL; if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; #if PY_VERSION_HEX >= 0x030400a1 if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { if (PyObject_CallFinalizerFromDealloc(o)) return; } #endif PyObject_GC_UnTrack(o); { PyObject *etype, *eval, 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"" : "s", num_found); } /* RaiseDoubleKeywords */ static void __Pyx_RaiseDoubleKeywordsError( const char* func_name, PyObject* kw_name) { PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION >= 3 "%s() got multiple values for keyword argument '%U'", func_name, kw_name); #else "%s() got multiple values for keyword argument '%s'", func_name, PyString_AsString(kw_name)); #endif } /* ParseKeywords */ static int __Pyx_ParseOptionalKeywords( PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name) { PyObject *key = 0, *value = 0; Py_ssize_t pos = 0; PyObject*** name; PyObject*** first_kw_arg = argnames + num_pos_args; while (PyDict_Next(kwds, &pos, &key, &value)) { name = first_kw_arg; while (*name && (**name != key)) name++; if (*name) { values[name-argnames] = value; continue; } name = first_kw_arg; #if PY_MAJOR_VERSION < 3 if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { while (*name) { if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) && _PyString_Eq(**name, key)) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%.200s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%.200s() got an unexpected keyword argument '%.200s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } /* Import */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } /* SaveResetException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); } static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } #endif /* PyErrExceptionMatches */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) { PyObject *exc_type = tstate->curexc_type; if (exc_type == err) return 1; if (unlikely(!exc_type)) return 0; return PyErr_GivenExceptionMatches(exc_type, err); } #endif /* GetException */ #if CYTHON_COMPILING_IN_CPYTHON static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { #else static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { #endif PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (local_tb) { if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; } #endif Py_XINCREF(local_tb); Py_XINCREF(local_type); Py_XINCREF(local_value); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } /* PyObjectCall */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyObject *result; ternaryfunc call = func->ob_type->tp_call; if (unlikely(!call)) return PyObject_Call(func, arg, kw); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = (*call)(func, arg, kw); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyErrFetchRestore */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); } static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; } #endif /* RaiseException */ #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { __Pyx_PyThreadState_declare Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } if (PyType_Check(type)) { #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } } __Pyx_PyThreadState_assign __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *instance_class = NULL; if (value && PyExceptionInstance_Check(value)) { instance_class = (PyObject*) Py_TYPE(value); if (instance_class != type) { int is_subclass = PyObject_IsSubclass(instance_class, type); if (!is_subclass) { instance_class = NULL; } else if (unlikely(is_subclass == -1)) { goto bad; } else { type = instance_class; } } } if (!instance_class) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyObject_Call(type, args, NULL); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { #if CYTHON_COMPILING_IN_PYPY PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); Py_INCREF(tb); PyErr_Restore(tmp_type, tmp_value, tb); Py_XDECREF(tmp_tb); #else PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } #endif } bad: Py_XDECREF(owned_instance); return; } #endif /* UnicodeAsUCS4 */ static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject* x) { Py_ssize_t length; #if CYTHON_PEP393_ENABLED length = PyUnicode_GET_LENGTH(x); if (likely(length == 1)) { return PyUnicode_READ_CHAR(x, 0); } #else length = PyUnicode_GET_SIZE(x); if (likely(length == 1)) { return PyUnicode_AS_UNICODE(x)[0]; } #if Py_UNICODE_SIZE == 2 else if (PyUnicode_GET_SIZE(x) == 2) { Py_UCS4 high_val = PyUnicode_AS_UNICODE(x)[0]; if (high_val >= 0xD800 && high_val <= 0xDBFF) { Py_UCS4 low_val = PyUnicode_AS_UNICODE(x)[1]; if (low_val >= 0xDC00 && low_val <= 0xDFFF) { return 0x10000 + (((high_val & ((1<<10)-1)) << 10) | (low_val & ((1<<10)-1))); } } } #endif #endif PyErr_Format(PyExc_ValueError, "only single character unicode strings can be converted to Py_UCS4, " "got length %" CYTHON_FORMAT_SSIZE_T "d", length); return (Py_UCS4)-1; } /* object_ord */ static long __Pyx__PyObject_Ord(PyObject* c) { Py_ssize_t size; if (PyBytes_Check(c)) { size = PyBytes_GET_SIZE(c); if (likely(size == 1)) { return (unsigned char) PyBytes_AS_STRING(c)[0]; } #if PY_MAJOR_VERSION < 3 } else if (PyUnicode_Check(c)) { return (long)__Pyx_PyUnicode_AsPy_UCS4(c); #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) } else if (PyByteArray_Check(c)) { size = PyByteArray_GET_SIZE(c); if (likely(size == 1)) { return (unsigned char) PyByteArray_AS_STRING(c)[0]; } #endif } else { PyErr_Format(PyExc_TypeError, "ord() expected string of length 1, but %.200s found", c->ob_type->tp_name); return (long)(Py_UCS4)-1; } PyErr_Format(PyExc_TypeError, "ord() expected a character, but string of length %zd found", size); return (long)(Py_UCS4)-1; } /* SetItemInt */ static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { int r; if (!j) return -1; r = PyObject_SetItem(o, j, v); Py_DECREF(j); return r; } static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) { PyObject* old = PyList_GET_ITEM(o, n); Py_INCREF(v); PyList_SET_ITEM(o, n, v); Py_DECREF(old); return 1; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_ass_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return -1; PyErr_Clear(); } } return m->sq_ass_item(o, i, v); } } #else #if CYTHON_COMPILING_IN_PYPY if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) { #else if (is_list || PySequence_Check(o)) { #endif return PySequence_SetItem(o, i, v); } #endif return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); } /* IterFinish */ static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } /* PyObjectCallMethO */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { PyObject *self, *result; PyCFunction cfunc; cfunc = PyCFunction_GET_FUNCTION(func); self = PyCFunction_GET_SELF(func); if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) return NULL; result = cfunc(self, arg); Py_LeaveRecursiveCall(); if (unlikely(!result) && unlikely(!PyErr_Occurred())) { PyErr_SetString( PyExc_SystemError, "NULL result without error in PyObject_Call"); } return result; } #endif /* PyObjectCallNoArg */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { return __Pyx_PyObject_CallMethO(func, NULL); } } return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL); } #endif /* PyObjectCallOneArg */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_New(1); if (unlikely(!args)) return NULL; Py_INCREF(arg); PyTuple_SET_ITEM(args, 0, arg); result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { #ifdef __Pyx_CyFunction_USED if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) { #else if (likely(PyCFunction_Check(func))) { #endif if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { return __Pyx_PyObject_CallMethO(func, arg); } } return __Pyx__PyObject_CallOneArg(func, arg); } #else static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { PyObject *result; PyObject *args = PyTuple_Pack(1, arg); if (unlikely(!args)) return NULL; result = __Pyx_PyObject_Call(func, args, NULL); Py_DECREF(args); return result; } #endif /* PyObjectCallMethod0 */ static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { PyObject *method, *result = NULL; method = __Pyx_PyObject_GetAttrStr(obj, method_name); if (unlikely(!method)) goto bad; #if CYTHON_COMPILING_IN_CPYTHON if (likely(PyMethod_Check(method))) { PyObject *self = PyMethod_GET_SELF(method); if (likely(self)) { PyObject *function = PyMethod_GET_FUNCTION(method); result = __Pyx_PyObject_CallOneArg(function, self); Py_DECREF(method); return result; } } #endif result = __Pyx_PyObject_CallNoArg(method); Py_DECREF(method); bad: return result; } /* RaiseNeedMoreValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", index, (index == 1) ? "" : "s"); } /* RaiseTooManyValuesToUnpack */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } /* UnpackItemEndCheck */ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } /* RaiseNoneIterError */ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } /* UnpackTupleError */ static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) { if (t == Py_None) { __Pyx_RaiseNoneNotIterableError(); } else if (PyTuple_GET_SIZE(t) < index) { __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t)); } else { __Pyx_RaiseTooManyValuesError(index); } } /* UnpackTuple2 */ static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int is_tuple, int has_known_size, int decref_tuple) { Py_ssize_t index; PyObject *value1 = NULL, *value2 = NULL, *iter = NULL; if (!is_tuple && unlikely(!PyTuple_Check(tuple))) { iternextfunc iternext; iter = PyObject_GetIter(tuple); if (unlikely(!iter)) goto bad; if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; } iternext = Py_TYPE(iter)->tp_iternext; value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; } value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; } if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad; Py_DECREF(iter); } else { if (!has_known_size && unlikely(PyTuple_GET_SIZE(tuple) != 2)) { __Pyx_UnpackTupleError(tuple, 2); goto bad; } #if CYTHON_COMPILING_IN_PYPY value1 = PySequence_ITEM(tuple, 0); if (unlikely(!value1)) goto bad; value2 = PySequence_ITEM(tuple, 1); if (unlikely(!value2)) goto bad; #else value1 = PyTuple_GET_ITEM(tuple, 0); value2 = PyTuple_GET_ITEM(tuple, 1); Py_INCREF(value1); Py_INCREF(value2); #endif if (decref_tuple) { Py_DECREF(tuple); } } *pvalue1 = value1; *pvalue2 = value2; return 0; unpacking_failed: if (!has_known_size && __Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); bad: Py_XDECREF(iter); Py_XDECREF(value1); Py_XDECREF(value2); if (decref_tuple) { Py_XDECREF(tuple); } return -1; } /* dict_iter */ static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name, Py_ssize_t* p_orig_length, int* p_source_is_dict) { is_dict = is_dict || likely(PyDict_CheckExact(iterable)); *p_source_is_dict = is_dict; #if !CYTHON_COMPILING_IN_PYPY if (is_dict) { *p_orig_length = PyDict_Size(iterable); Py_INCREF(iterable); return iterable; } #endif *p_orig_length = 0; if (method_name) { PyObject* iter; iterable = __Pyx_PyObject_CallMethod0(iterable, method_name); if (!iterable) return NULL; #if !CYTHON_COMPILING_IN_PYPY if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable)) return iterable; #endif iter = PyObject_GetIter(iterable); Py_DECREF(iterable); return iter; } return PyObject_GetIter(iterable); } static CYTHON_INLINE int __Pyx_dict_iter_next( PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos, PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) { PyObject* next_item; #if !CYTHON_COMPILING_IN_PYPY if (source_is_dict) { PyObject *key, *value; if (unlikely(orig_length != PyDict_Size(iter_obj))) { PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); return -1; } if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) { return 0; } if (pitem) { PyObject* tuple = PyTuple_New(2); if (unlikely(!tuple)) { return -1; } Py_INCREF(key); Py_INCREF(value); PyTuple_SET_ITEM(tuple, 0, key); PyTuple_SET_ITEM(tuple, 1, value); *pitem = tuple; } else { if (pkey) { Py_INCREF(key); *pkey = key; } if (pvalue) { Py_INCREF(value); *pvalue = value; } } return 1; } else if (PyTuple_CheckExact(iter_obj)) { Py_ssize_t pos = *ppos; if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0; *ppos = pos + 1; next_item = PyTuple_GET_ITEM(iter_obj, pos); Py_INCREF(next_item); } else if (PyList_CheckExact(iter_obj)) { Py_ssize_t pos = *ppos; if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0; *ppos = pos + 1; next_item = PyList_GET_ITEM(iter_obj, pos); Py_INCREF(next_item); } else #endif { next_item = PyIter_Next(iter_obj); if (unlikely(!next_item)) { return __Pyx_IterFinish(); } } if (pitem) { *pitem = next_item; } else if (pkey && pvalue) { if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1)) return -1; } else if (pkey) { *pkey = next_item; } else { *pvalue = next_item; } return 1; } /* ArgTypeTest */ static void __Pyx_RaiseArgumentTypeInvalid(const char* name, PyObject *obj, PyTypeObject *type) { PyErr_Format(PyExc_TypeError, "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", name, type->tp_name, Py_TYPE(obj)->tp_name); } static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (likely(Py_TYPE(obj) == type)) return 1; #if PY_MAJOR_VERSION == 2 else if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; #endif } else { if (likely(PyObject_TypeCheck(obj, type))) return 1; } __Pyx_RaiseArgumentTypeInvalid(name, obj, type); return 0; } /* PyIntBinop */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_RemainderObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { const long b = intval; long x; long a = PyInt_AS_LONG(op1); x = a % b; x += ((x != 0) & ((x ^ b) < 0)) * b; return PyInt_FromLong(x); } #endif #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3 if (likely(PyLong_CheckExact(op1))) { const long b = intval; long a, x; const PY_LONG_LONG llb = intval; PY_LONG_LONG lla, llx; const digit* digits = ((PyLongObject*)op1)->ob_digit; const Py_ssize_t size = Py_SIZE(op1); if (likely(__Pyx_sst_abs(size) <= 1)) { a = likely(size) ? digits[0] : 0; if (size == -1) a = -a; } else { switch (size) { case -2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } default: return PyLong_Type.tp_as_number->nb_remainder(op1, op2); } } x = a % b; x += ((x != 0) & ((x ^ b) < 0)) * b; return PyLong_FromLong(x); long_long: llx = lla % llb; llx += ((llx != 0) & ((llx ^ llb) < 0)) * llb; return PyLong_FromLongLong(llx); } #endif return (inplace ? PyNumber_InPlaceRemainder : PyNumber_Remainder)(op1, op2); } #endif /* GetModuleGlobalName */ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (likely(result)) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } /* BufferFormatCheck */ static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { switch (*ts) { case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; default: break; } number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case '\r': case '\n': ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; ctx->new_count = 1; got_Z = 0; ++ts; break; } case 's': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } /* MemviewSliceInit */ static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } /* ExtTypeTest */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } /* BytesEquals */ static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { const char *ps1, *ps2; Py_ssize_t length = PyBytes_GET_SIZE(s1); if (length != PyBytes_GET_SIZE(s2)) return (equals == Py_NE); ps1 = PyBytes_AS_STRING(s1); ps2 = PyBytes_AS_STRING(s2); if (ps1[0] != ps2[0]) { return (equals == Py_NE); } else if (length == 1) { return (equals == Py_EQ); } else { int result = memcmp(ps1, ps2, (size_t)length); return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } /* UnicodeEquals */ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else #if PY_MAJOR_VERSION < 3 PyObject* owned_ref = NULL; #endif int s1_is_unicode, s2_is_unicode; if (s1 == s2) { goto return_eq; } s1_is_unicode = PyUnicode_CheckExact(s1); s2_is_unicode = PyUnicode_CheckExact(s2); #if PY_MAJOR_VERSION < 3 if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { owned_ref = PyUnicode_FromObject(s2); if (unlikely(!owned_ref)) return -1; s2 = owned_ref; s2_is_unicode = 1; } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { owned_ref = PyUnicode_FromObject(s1); if (unlikely(!owned_ref)) return -1; s1 = owned_ref; s1_is_unicode = 1; } else if (((!s2_is_unicode) & (!s1_is_unicode))) { return __Pyx_PyBytes_Equals(s1, s2, equals); } #endif if (s1_is_unicode & s2_is_unicode) { Py_ssize_t length; int kind; void *data1, *data2; if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) return -1; length = __Pyx_PyUnicode_GET_LENGTH(s1); if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { goto return_ne; } kind = __Pyx_PyUnicode_KIND(s1); if (kind != __Pyx_PyUnicode_KIND(s2)) { goto return_ne; } data1 = __Pyx_PyUnicode_DATA(s1); data2 = __Pyx_PyUnicode_DATA(s2); if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { goto return_ne; } else if (length == 1) { goto return_eq; } else { int result = memcmp(data1, data2, (size_t)(length * kind)); #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & s2_is_unicode) { goto return_ne; } else if ((s2 == Py_None) & s1_is_unicode) { goto return_ne; } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } return_eq: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_EQ); return_ne: #if PY_MAJOR_VERSION < 3 Py_XDECREF(owned_ref); #endif return (equals == Py_NE); #endif } /* None */ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* GetAttr */ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } /* decode_c_string */ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { size_t slen = strlen(cstring); if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { PyErr_SetString(PyExc_OverflowError, "c-string too long to convert to Python"); return NULL; } length = (Py_ssize_t) slen; if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } /* SwapException */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = *type; tstate->exc_value = *value; tstate->exc_traceback = *tb; *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #else static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); PyErr_SetExcInfo(*type, *value, *tb); *type = tmp_type; *value = tmp_value; *tb = tmp_tb; } #endif /* GetItemInt */ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (!PyErr_ExceptionMatches(PyExc_OverflowError)) return NULL; PyErr_Clear(); } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } /* PyIntBinop */ #if CYTHON_COMPILING_IN_CPYTHON static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { const long b = intval; long x; long a = PyInt_AS_LONG(op1); x = (long)((unsigned long)a + b); if (likely((x^a) >= 0 || (x^b) >= 0)) return PyInt_FromLong(x); return PyLong_Type.tp_as_number->nb_add(op1, op2); } #endif #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3 if (likely(PyLong_CheckExact(op1))) { const long b = intval; long a, x; const PY_LONG_LONG llb = intval; PY_LONG_LONG lla, llx; const digit* digits = ((PyLongObject*)op1)->ob_digit; const Py_ssize_t size = Py_SIZE(op1); if (likely(__Pyx_sst_abs(size) <= 1)) { a = likely(size) ? digits[0] : 0; if (size == -1) a = -a; } else { switch (size) { case -2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 2: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 3: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case -4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } case 4: if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); break; } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); goto long_long; } default: return PyLong_Type.tp_as_number->nb_add(op1, op2); } } x = a + b; return PyLong_FromLong(x); long_long: llx = lla + llb; return PyLong_FromLongLong(llx); } #endif if (PyFloat_CheckExact(op1)) { const long b = intval; double a = PyFloat_AS_DOUBLE(op1); double result; PyFPE_START_PROTECT("add", return NULL) result = ((double)a) + (double)b; PyFPE_END_PROTECT(result) return PyFloat_FromDouble(result); } return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); } #endif /* None */ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } /* None */ static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } /* WriteUnraisableException */ static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, int full_traceback, CYTHON_UNUSED int nogil) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_PyThreadState_declare #ifdef WITH_THREAD PyGILState_STATE state; if (nogil) state = PyGILState_Ensure(); #ifdef _MSC_VER else state = (PyGILState_STATE)-1; #endif #endif __Pyx_PyThreadState_assign __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); if (full_traceback) { Py_XINCREF(old_exc); Py_XINCREF(old_val); Py_XINCREF(old_tb); __Pyx_ErrRestore(old_exc, old_val, old_tb); PyErr_PrintEx(1); } #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } #ifdef WITH_THREAD if (nogil) PyGILState_Release(state); #endif } /* StringJoin */ #if !CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values) { return PyObject_CallMethodObjArgs(sep, __pyx_n_s_join, values, NULL); } #endif /* SetVTable */ static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } /* FetchCommonType */ static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { PyObject* fake_module; PyTypeObject* cached_type = NULL; fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); if (!fake_module) return NULL; Py_INCREF(fake_module); cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); if (cached_type) { if (!PyType_Check((PyObject*)cached_type)) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s is not a type object", type->tp_name); goto bad; } if (cached_type->tp_basicsize != type->tp_basicsize) { PyErr_Format(PyExc_TypeError, "Shared Cython type %.200s has the wrong size, try recompiling", type->tp_name); goto bad; } } else { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); if (PyType_Ready(type) < 0) goto bad; if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) goto bad; Py_INCREF(type); cached_type = type; } done: Py_DECREF(fake_module); return cached_type; bad: Py_XDECREF(cached_type); cached_type = NULL; goto done; } /* CythonFunction */ static PyObject * __Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) { if (unlikely(op->func_doc == NULL)) { if (op->func.m_ml->ml_doc) { #if PY_MAJOR_VERSION >= 3 op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); #else op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); #endif if (unlikely(op->func_doc == NULL)) return NULL; } else { Py_INCREF(Py_None); return Py_None; } } Py_INCREF(op->func_doc); return op->func_doc; } static int __Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp = op->func_doc; if (value == NULL) { value = Py_None; } Py_INCREF(value); op->func_doc = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op) { if (unlikely(op->func_name == NULL)) { #if PY_MAJOR_VERSION >= 3 op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); #else op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); #endif if (unlikely(op->func_name == NULL)) return NULL; } Py_INCREF(op->func_name); return op->func_name; } static int __Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__name__ must be set to a string object"); return -1; } tmp = op->func_name; Py_INCREF(value); op->func_name = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_qualname); return op->func_qualname; } static int __Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; #if PY_MAJOR_VERSION >= 3 if (unlikely(value == NULL || !PyUnicode_Check(value))) { #else if (unlikely(value == NULL || !PyString_Check(value))) { #endif PyErr_SetString(PyExc_TypeError, "__qualname__ must be set to a string object"); return -1; } tmp = op->func_qualname; Py_INCREF(value); op->func_qualname = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) { PyObject *self; self = m->func_closure; if (self == NULL) self = Py_None; Py_INCREF(self); return self; } static PyObject * __Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op) { if (unlikely(op->func_dict == NULL)) { op->func_dict = PyDict_New(); if (unlikely(op->func_dict == NULL)) return NULL; } Py_INCREF(op->func_dict); return op->func_dict; } static int __Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value) { PyObject *tmp; if (unlikely(value == NULL)) { PyErr_SetString(PyExc_TypeError, "function's dictionary may not be deleted"); return -1; } if (unlikely(!PyDict_Check(value))) { PyErr_SetString(PyExc_TypeError, "setting function's dictionary to a non-dict"); return -1; } tmp = op->func_dict; Py_INCREF(value); op->func_dict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op) { Py_INCREF(op->func_globals); return op->func_globals; } static PyObject * __Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op) { Py_INCREF(Py_None); return Py_None; } static PyObject * __Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op) { PyObject* result = (op->func_code) ? op->func_code : Py_None; Py_INCREF(result); return result; } static int __Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { int result = 0; PyObject *res = op->defaults_getter((PyObject *) op); if (unlikely(!res)) return -1; #if CYTHON_COMPILING_IN_CPYTHON op->defaults_tuple = PyTuple_GET_ITEM(res, 0); Py_INCREF(op->defaults_tuple); op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); Py_INCREF(op->defaults_kwdict); #else op->defaults_tuple = PySequence_ITEM(res, 0); if (unlikely(!op->defaults_tuple)) result = -1; else { op->defaults_kwdict = PySequence_ITEM(res, 1); if (unlikely(!op->defaults_kwdict)) result = -1; } #endif Py_DECREF(res); return result; } static int __Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyTuple_Check(value)) { PyErr_SetString(PyExc_TypeError, "__defaults__ must be set to a tuple object"); return -1; } Py_INCREF(value); tmp = op->defaults_tuple; op->defaults_tuple = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_tuple; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_tuple; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value) { value = Py_None; } else if (value != Py_None && !PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__kwdefaults__ must be set to a dict object"); return -1; } Py_INCREF(value); tmp = op->defaults_kwdict; op->defaults_kwdict = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op) { PyObject* result = op->defaults_kwdict; if (unlikely(!result)) { if (op->defaults_getter) { if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; result = op->defaults_kwdict; } else { result = Py_None; } } Py_INCREF(result); return result; } static int __Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value) { PyObject* tmp; if (!value || value == Py_None) { value = NULL; } else if (!PyDict_Check(value)) { PyErr_SetString(PyExc_TypeError, "__annotations__ must be set to a dict object"); return -1; } Py_XINCREF(value); tmp = op->func_annotations; op->func_annotations = value; Py_XDECREF(tmp); return 0; } static PyObject * __Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op) { PyObject* result = op->func_annotations; if (unlikely(!result)) { result = PyDict_New(); if (unlikely(!result)) return NULL; op->func_annotations = result; } Py_INCREF(result); return result; } static PyGetSetDef __pyx_CyFunction_getsets[] = { {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, {0, 0, 0, 0, 0} }; static PyMemberDef __pyx_CyFunction_members[] = { {(char *) "__module__", T_OBJECT, offsetof(__pyx_CyFunctionObject, func.m_module), PY_WRITE_RESTRICTED, 0}, {0, 0, 0, 0, 0} }; static PyObject * __Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromString(m->func.m_ml->ml_name); #else return PyString_FromString(m->func.m_ml->ml_name); #endif } static PyMethodDef __pyx_CyFunction_methods[] = { {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, {0, 0, 0, 0} }; #if PY_VERSION_HEX < 0x030500A0 #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) #else #define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) #endif static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname, PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type); if (op == NULL) return NULL; op->flags = flags; __Pyx_CyFunction_weakreflist(op) = NULL; op->func.m_ml = ml; op->func.m_self = (PyObject *) op; Py_XINCREF(closure); op->func_closure = closure; Py_XINCREF(module); op->func.m_module = module; op->func_dict = NULL; op->func_name = NULL; Py_INCREF(qualname); op->func_qualname = qualname; op->func_doc = NULL; op->func_classobj = NULL; op->func_globals = globals; Py_INCREF(op->func_globals); Py_XINCREF(code); op->func_code = code; op->defaults_pyobjects = 0; op->defaults = NULL; op->defaults_tuple = NULL; op->defaults_kwdict = NULL; op->defaults_getter = NULL; op->func_annotations = NULL; PyObject_GC_Track(op); return (PyObject *) op; } static int __Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) { Py_CLEAR(m->func_closure); Py_CLEAR(m->func.m_module); Py_CLEAR(m->func_dict); Py_CLEAR(m->func_name); Py_CLEAR(m->func_qualname); Py_CLEAR(m->func_doc); Py_CLEAR(m->func_globals); Py_CLEAR(m->func_code); Py_CLEAR(m->func_classobj); Py_CLEAR(m->defaults_tuple); Py_CLEAR(m->defaults_kwdict); Py_CLEAR(m->func_annotations); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_XDECREF(pydefaults[i]); PyObject_Free(m->defaults); m->defaults = NULL; } return 0; } static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) { PyObject_GC_UnTrack(m); if (__Pyx_CyFunction_weakreflist(m) != NULL) PyObject_ClearWeakRefs((PyObject *) m); __Pyx_CyFunction_clear(m); PyObject_GC_Del(m); } static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) { Py_VISIT(m->func_closure); Py_VISIT(m->func.m_module); Py_VISIT(m->func_dict); Py_VISIT(m->func_name); Py_VISIT(m->func_qualname); Py_VISIT(m->func_doc); Py_VISIT(m->func_globals); Py_VISIT(m->func_code); Py_VISIT(m->func_classobj); Py_VISIT(m->defaults_tuple); Py_VISIT(m->defaults_kwdict); if (m->defaults) { PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); int i; for (i = 0; i < m->defaults_pyobjects; i++) Py_VISIT(pydefaults[i]); } return 0; } static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(func); return func; } if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { if (type == NULL) type = (PyObject *)(Py_TYPE(obj)); return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); } if (obj == Py_None) obj = NULL; return __Pyx_PyMethod_New(func, obj, type); } static PyObject* __Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_FromFormat("", op->func_qualname, (void *)op); #else return PyString_FromFormat("", PyString_AsString(op->func_qualname), (void *)op); #endif } #if CYTHON_COMPILING_IN_PYPY static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { PyCFunctionObject* f = (PyCFunctionObject*)func; PyCFunction meth = f->m_ml->ml_meth; PyObject *self = f->m_self; Py_ssize_t size; switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { case METH_VARARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) return (*meth)(self, arg); break; case METH_VARARGS | METH_KEYWORDS: return (*(PyCFunctionWithKeywords)meth)(self, arg, kw); case METH_NOARGS: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 0)) return (*meth)(self, NULL); PyErr_Format(PyExc_TypeError, "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; case METH_O: if (likely(kw == NULL || PyDict_Size(kw) == 0)) { size = PyTuple_GET_SIZE(arg); if (likely(size == 1)) { PyObject *result, *arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; result = (*meth)(self, arg0); Py_DECREF(arg0); return result; } PyErr_Format(PyExc_TypeError, "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", f->m_ml->ml_name, size); return NULL; } break; default: PyErr_SetString(PyExc_SystemError, "Bad call flags in " "__Pyx_CyFunction_Call. METH_OLDARGS is no " "longer supported!"); return NULL; } PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", f->m_ml->ml_name); return NULL; } #else static PyObject * __Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { return PyCFunction_Call(func, arg, kw); } #endif static PyTypeObject __pyx_CyFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "cython_function_or_method", sizeof(__pyx_CyFunctionObject), 0, (destructor) __Pyx_CyFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif (reprfunc) __Pyx_CyFunction_repr, 0, 0, 0, 0, __Pyx_CyFunction_Call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, 0, (traverseproc) __Pyx_CyFunction_traverse, (inquiry) __Pyx_CyFunction_clear, 0, #if PY_VERSION_HEX < 0x030500A0 offsetof(__pyx_CyFunctionObject, func_weakreflist), #else offsetof(PyCFunctionObject, m_weakreflist), #endif 0, 0, __pyx_CyFunction_methods, __pyx_CyFunction_members, __pyx_CyFunction_getsets, 0, 0, __Pyx_CyFunction_descr_get, 0, offsetof(__pyx_CyFunctionObject, func_dict), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_CyFunction_init(void) { #if !CYTHON_COMPILING_IN_PYPY __pyx_CyFunctionType_type.tp_call = PyCFunction_Call; #endif __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); if (__pyx_CyFunctionType == NULL) { return -1; } return 0; } static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults = PyObject_Malloc(size); if (!m->defaults) return PyErr_NoMemory(); memset(m->defaults, 0, size); m->defaults_pyobjects = pyobjects; return m->defaults; } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_tuple = tuple; Py_INCREF(tuple); } static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->defaults_kwdict = dict; Py_INCREF(dict); } static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; m->func_annotations = dict; Py_INCREF(dict); } /* FusedFunction */ static PyObject * __pyx_FusedFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject *qualname, PyObject *self, PyObject *module, PyObject *globals, PyObject *code) { __pyx_FusedFunctionObject *fusedfunc = (__pyx_FusedFunctionObject *) __Pyx_CyFunction_New(type, ml, flags, qualname, self, module, globals, code); if (!fusedfunc) return NULL; fusedfunc->__signatures__ = NULL; fusedfunc->type = NULL; fusedfunc->self = NULL; return (PyObject *) fusedfunc; } static void __pyx_FusedFunction_dealloc(__pyx_FusedFunctionObject *self) { __pyx_FusedFunction_clear(self); __pyx_FusedFunctionType->tp_free((PyObject *) self); } static int __pyx_FusedFunction_traverse(__pyx_FusedFunctionObject *self, visitproc visit, void *arg) { Py_VISIT(self->self); Py_VISIT(self->type); Py_VISIT(self->__signatures__); return __Pyx_CyFunction_traverse((__pyx_CyFunctionObject *) self, visit, arg); } static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self) { Py_CLEAR(self->self); Py_CLEAR(self->type); Py_CLEAR(self->__signatures__); return __Pyx_CyFunction_clear((__pyx_CyFunctionObject *) self); } static PyObject * __pyx_FusedFunction_descr_get(PyObject *self, PyObject *obj, PyObject *type) { __pyx_FusedFunctionObject *func, *meth; func = (__pyx_FusedFunctionObject *) self; if (func->self || func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD) { Py_INCREF(self); return self; } if (obj == Py_None) obj = NULL; meth = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_NewEx( ((PyCFunctionObject *) func)->m_ml, ((__pyx_CyFunctionObject *) func)->flags, ((__pyx_CyFunctionObject *) func)->func_qualname, ((__pyx_CyFunctionObject *) func)->func_closure, ((PyCFunctionObject *) func)->m_module, ((__pyx_CyFunctionObject *) func)->func_globals, ((__pyx_CyFunctionObject *) func)->func_code); if (!meth) return NULL; Py_XINCREF(func->func.func_classobj); meth->func.func_classobj = func->func.func_classobj; Py_XINCREF(func->__signatures__); meth->__signatures__ = func->__signatures__; Py_XINCREF(type); meth->type = type; Py_XINCREF(func->func.defaults_tuple); meth->func.defaults_tuple = func->func.defaults_tuple; if (func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD) obj = type; Py_XINCREF(obj); meth->self = obj; return (PyObject *) meth; } static PyObject * _obj_to_str(PyObject *obj) { if (PyType_Check(obj)) return PyObject_GetAttr(obj, __pyx_n_s_name_2); else return PyObject_Str(obj); } static PyObject * __pyx_FusedFunction_getitem(__pyx_FusedFunctionObject *self, PyObject *idx) { PyObject *signature = NULL; PyObject *unbound_result_func; PyObject *result_func = NULL; if (self->__signatures__ == NULL) { PyErr_SetString(PyExc_TypeError, "Function is not fused"); return NULL; } if (PyTuple_Check(idx)) { PyObject *list = PyList_New(0); Py_ssize_t n = PyTuple_GET_SIZE(idx); PyObject *string = NULL; PyObject *sep = NULL; int i; if (!list) return NULL; for (i = 0; i < n; i++) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *item = PyTuple_GET_ITEM(idx, i); #else PyObject *item = PySequence_ITEM(idx, i); #endif string = _obj_to_str(item); #if !CYTHON_COMPILING_IN_CPYTHON Py_DECREF(item); #endif if (!string || PyList_Append(list, string) < 0) goto __pyx_err; Py_DECREF(string); } sep = PyUnicode_FromString("|"); if (sep) signature = PyUnicode_Join(sep, list); __pyx_err: ; Py_DECREF(list); Py_XDECREF(sep); } else { signature = _obj_to_str(idx); } if (!signature) return NULL; unbound_result_func = PyObject_GetItem(self->__signatures__, signature); if (unbound_result_func) { if (self->self || self->type) { __pyx_FusedFunctionObject *unbound = (__pyx_FusedFunctionObject *) unbound_result_func; Py_CLEAR(unbound->func.func_classobj); Py_XINCREF(self->func.func_classobj); unbound->func.func_classobj = self->func.func_classobj; result_func = __pyx_FusedFunction_descr_get(unbound_result_func, self->self, self->type); } else { result_func = unbound_result_func; Py_INCREF(result_func); } } Py_DECREF(signature); Py_XDECREF(unbound_result_func); return result_func; } static PyObject * __pyx_FusedFunction_callfunction(PyObject *func, PyObject *args, PyObject *kw) { __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; PyObject *result; int static_specialized = (cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD && !((__pyx_FusedFunctionObject *) func)->__signatures__); if (cyfunc->flags & __Pyx_CYFUNCTION_CCLASS && !static_specialized) { Py_ssize_t argc; PyObject *new_args; PyObject *self; PyObject *m_self; argc = PyTuple_GET_SIZE(args); new_args = PyTuple_GetSlice(args, 1, argc); if (!new_args) return NULL; self = PyTuple_GetItem(args, 0); if (!self) return NULL; m_self = cyfunc->func.m_self; cyfunc->func.m_self = self; result = __Pyx_CyFunction_Call(func, new_args, kw); cyfunc->func.m_self = m_self; Py_DECREF(new_args); } else { result = __Pyx_CyFunction_Call(func, args, kw); } return result; } static PyObject * __pyx_FusedFunction_call(PyObject *func, PyObject *args, PyObject *kw) { __pyx_FusedFunctionObject *binding_func = (__pyx_FusedFunctionObject *) func; Py_ssize_t argc = PyTuple_GET_SIZE(args); PyObject *new_args = NULL; __pyx_FusedFunctionObject *new_func = NULL; PyObject *result = NULL; PyObject *self = NULL; int is_staticmethod = binding_func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD; int is_classmethod = binding_func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD; if (binding_func->self) { Py_ssize_t i; new_args = PyTuple_New(argc + 1); if (!new_args) return NULL; self = binding_func->self; #if !CYTHON_COMPILING_IN_CPYTHON Py_INCREF(self); #endif Py_INCREF(self); PyTuple_SET_ITEM(new_args, 0, self); for (i = 0; i < argc; i++) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *item = PyTuple_GET_ITEM(args, i); Py_INCREF(item); #else PyObject *item = PySequence_ITEM(args, i); if (unlikely(!item)) goto bad; #endif PyTuple_SET_ITEM(new_args, i + 1, item); } args = new_args; } else if (binding_func->type) { if (argc < 1) { PyErr_SetString(PyExc_TypeError, "Need at least one argument, 0 given."); return NULL; } #if CYTHON_COMPILING_IN_CPYTHON self = PyTuple_GET_ITEM(args, 0); #else self = PySequence_ITEM(args, 0); if (unlikely(!self)) return NULL; #endif } if (self && !is_classmethod && !is_staticmethod) { int is_instance = PyObject_IsInstance(self, binding_func->type); if (unlikely(!is_instance)) { PyErr_Format(PyExc_TypeError, "First argument should be of type %.200s, got %.200s.", ((PyTypeObject *) binding_func->type)->tp_name, self->ob_type->tp_name); goto bad; } else if (unlikely(is_instance == -1)) { goto bad; } } #if !CYTHON_COMPILING_IN_CPYTHON Py_XDECREF(self); self = NULL; #endif if (binding_func->__signatures__) { PyObject *tup = PyTuple_Pack(4, binding_func->__signatures__, args, kw == NULL ? Py_None : kw, binding_func->func.defaults_tuple); if (!tup) goto bad; new_func = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_callfunction(func, tup, NULL); Py_DECREF(tup); if (!new_func) goto bad; Py_XINCREF(binding_func->func.func_classobj); Py_CLEAR(new_func->func.func_classobj); new_func->func.func_classobj = binding_func->func.func_classobj; func = (PyObject *) new_func; } result = __pyx_FusedFunction_callfunction(func, args, kw); bad: #if !CYTHON_COMPILING_IN_CPYTHON Py_XDECREF(self); #endif Py_XDECREF(new_args); Py_XDECREF((PyObject *) new_func); return result; } static PyMemberDef __pyx_FusedFunction_members[] = { {(char *) "__signatures__", T_OBJECT, offsetof(__pyx_FusedFunctionObject, __signatures__), READONLY, 0}, {0, 0, 0, 0, 0}, }; static PyMappingMethods __pyx_FusedFunction_mapping_methods = { 0, (binaryfunc) __pyx_FusedFunction_getitem, 0, }; static PyTypeObject __pyx_FusedFunctionType_type = { PyVarObject_HEAD_INIT(0, 0) "fused_cython_function", sizeof(__pyx_FusedFunctionObject), 0, (destructor) __pyx_FusedFunction_dealloc, 0, 0, 0, #if PY_MAJOR_VERSION < 3 0, #else 0, #endif 0, 0, 0, &__pyx_FusedFunction_mapping_methods, 0, (ternaryfunc) __pyx_FusedFunction_call, 0, 0, 0, 0, Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, 0, (traverseproc) __pyx_FusedFunction_traverse, (inquiry) __pyx_FusedFunction_clear, 0, 0, 0, 0, 0, __pyx_FusedFunction_members, __pyx_CyFunction_getsets, &__pyx_CyFunctionType_type, 0, __pyx_FusedFunction_descr_get, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, #if PY_VERSION_HEX >= 0x030400a1 0, #endif }; static int __pyx_FusedFunction_init(void) { __pyx_FusedFunctionType = __Pyx_FetchCommonType(&__pyx_FusedFunctionType_type); if (__pyx_FusedFunctionType == NULL) { return -1; } return 0; } /* CodeObjectCache */ static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = start + (end - start) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } /* AddTraceback */ #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, 0, 0, 0, 0, __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ __pyx_d, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } Py_DECREF(obj); view->obj = NULL; } #endif /* MemviewSliceIsContig */ static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs.memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) return 0; itemsize *= mvs.shape[index]; } return 1; } /* OverlappingSlices */ static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } /* Capsule */ static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } /* TypeInfoCompare */ static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } /* MemviewSliceValidateAndInit */ static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessible " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float32_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_5numpy_float64_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* CIntFromPyVerify */ #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) #define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ {\ func_type value = func_value;\ if (sizeof(target_type) < sizeof(func_type)) {\ if (unlikely(value != (func_type) (target_type) value)) {\ func_type zero = 0;\ if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ return (target_type) -1;\ if (is_unsigned && unlikely(value < zero))\ goto raise_neg_overflow;\ else\ goto raise_overflow;\ }\ }\ return (target_type) value;\ } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_char(unsigned char value) { const unsigned char neg_one = (unsigned char) -1, const_zero = (unsigned char) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(unsigned char) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(unsigned char) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(unsigned char) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(unsigned char) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(unsigned char) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(unsigned char), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(long) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(long) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(long), little, !is_unsigned); } } /* BytesContains */ static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character) { const Py_ssize_t length = PyBytes_GET_SIZE(bytes); char* char_start = PyBytes_AS_STRING(bytes); char* pos; for (pos=char_start; pos < char_start+length; pos++) { if (character == pos[0]) return 1; } return 0; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float32_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float32_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float32_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float32_t value = __pyx_PyFloat_AsFloat(obj); if ((value == (npy_float32)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float32_t *) itemp = value; return 1; } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_5numpy_float64_t(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(__pyx_t_5numpy_float64_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_5numpy_float64_t(const char *itemp, PyObject *obj) { __pyx_t_5numpy_float64_t value = __pyx_PyFloat_AsDouble(obj); if ((value == (npy_float64)-1) && PyErr_Occurred()) return 0; *(__pyx_t_5numpy_float64_t *) itemp = value; return 1; } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_Py_intptr_t(Py_intptr_t value) { const Py_intptr_t neg_one = (Py_intptr_t) -1, const_zero = (Py_intptr_t) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(Py_intptr_t) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(Py_intptr_t) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(Py_intptr_t) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(Py_intptr_t) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(Py_intptr_t) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(Py_intptr_t), little, !is_unsigned); } } /* MemviewDtypeToObject */ static CYTHON_INLINE PyObject *__pyx_memview_get_size_t(const char *itemp) { return (PyObject *) __Pyx_PyInt_FromSize_t(*(size_t *) itemp); } static CYTHON_INLINE int __pyx_memview_set_size_t(const char *itemp, PyObject *obj) { size_t value = __Pyx_PyInt_As_size_t(obj); if ((value == (size_t)-1) && PyErr_Occurred()) return 0; *(size_t *) itemp = value; return 1; } /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif /* None */ #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif /* None */ #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(int) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(int) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(int), little, !is_unsigned); } } /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(enum NPY_TYPES) < sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); } } else { if (sizeof(enum NPY_TYPES) <= sizeof(long)) { return PyInt_FromLong((long) value); } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); } } { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), little, !is_unsigned); } } /* MemviewSliceCopyTemplate */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } /* CIntFromPy */ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *x) { const size_t neg_one = (size_t) -1, const_zero = (size_t) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(size_t) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(size_t, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (size_t) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (size_t) 0; case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, digits[0]) case 2: if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 2 * PyLong_SHIFT) { return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 3: if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 3 * PyLong_SHIFT) { return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 4: if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) >= 4 * PyLong_SHIFT) { return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (size_t) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(size_t) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(size_t) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (size_t) 0; case -1: __PYX_VERIFY_RETURN_INT(size_t, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, +digits[0]) case -2: if (8 * sizeof(size_t) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 2: if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { return (size_t) ((((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -3: if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 3: if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { return (size_t) ((((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -4: if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { return (size_t) (((size_t)-1)*(((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 4: if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { return (size_t) ((((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; } #endif if (sizeof(size_t) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, long, PyLong_AsLong(x)) } else if (sizeof(size_t) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(size_t, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else size_t val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (size_t) -1; } } else { size_t val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (size_t) -1; val = __Pyx_PyInt_As_size_t(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to size_t"); return (size_t) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to size_t"); return (size_t) -1; } /* TypeInfoToFormat */ static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type) { struct __pyx_typeinfo_string result = { {0} }; char *buf = (char *) result.string; size_t size = type->size; switch (type->typegroup) { case 'H': *buf = 'c'; break; case 'I': case 'U': if (size == 1) *buf = (type->is_unsigned) ? 'B' : 'b'; else if (size == 2) *buf = (type->is_unsigned) ? 'H' : 'h'; else if (size == 4) *buf = (type->is_unsigned) ? 'I' : 'i'; else if (size == 8) *buf = (type->is_unsigned) ? 'Q' : 'q'; break; case 'P': *buf = 'P'; break; case 'C': { __Pyx_TypeInfo complex_type = *type; complex_type.typegroup = 'R'; complex_type.size /= 2; *buf++ = 'Z'; *buf = __Pyx_TypeInfoToFormat(&complex_type).string[0]; break; } case 'R': if (size == 4) *buf = 'f'; else if (size == 8) *buf = 'd'; else *buf = 'g'; break; } return result; } /* CIntFromPy */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { const unsigned int neg_one = (unsigned int) -1, const_zero = (unsigned int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(unsigned int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(unsigned int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (unsigned int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (unsigned int) 0; case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, digits[0]) case 2: if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 2 * PyLong_SHIFT) { return (unsigned int) (((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; case 3: if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 3 * PyLong_SHIFT) { return (unsigned int) (((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; case 4: if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) >= 4 * PyLong_SHIFT) { return (unsigned int) (((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (unsigned int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(unsigned int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(unsigned int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (unsigned int) 0; case -1: __PYX_VERIFY_RETURN_INT(unsigned int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, +digits[0]) case -2: if (8 * sizeof(unsigned int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 2: if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { return (unsigned int) ((((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case -3: if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 3: if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { return (unsigned int) ((((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case -4: if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { return (unsigned int) (((unsigned int)-1)*(((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; case 4: if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { return (unsigned int) ((((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); } } break; } #endif if (sizeof(unsigned int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, long, PyLong_AsLong(x)) } else if (sizeof(unsigned int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(unsigned int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else unsigned int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (unsigned int) -1; } } else { unsigned int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (unsigned int) -1; val = __Pyx_PyInt_As_unsigned_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to unsigned int"); return (unsigned int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned int"); return (unsigned int) -1; } /* CIntFromPy */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(int) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (int) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (int) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(int) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (int) 0; case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) case -2: if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 2: if (8 * sizeof(int) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -3: if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 3: if (8 * sizeof(int) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case -4: if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; case 4: if (8 * sizeof(int) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); } } break; } #endif if (sizeof(int) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else int val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (int) -1; } } else { int val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (int) -1; val = __Pyx_PyInt_As_int(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to int"); return (int) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to int"); return (int) -1; } /* CIntFromPy */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { const char neg_one = (char) -1, const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(char) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (char) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (char) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(char) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (char) 0; case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) case -2: if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 2: if (8 * sizeof(char) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -3: if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 3: if (8 * sizeof(char) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case -4: if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; case 4: if (8 * sizeof(char) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); } } break; } #endif if (sizeof(char) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else char val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (char) -1; } } else { char val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (char) -1; val = __Pyx_PyInt_As_char(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to char"); return (char) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to char"); return (char) -1; } /* CIntFromPy */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { if (sizeof(long) < sizeof(long)) { __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } return (long) val; } } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); } } break; } #endif #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(Py_SIZE(x) < 0)) { goto raise_neg_overflow; } #else { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) return (long) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif if (sizeof(long) <= sizeof(unsigned long)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { case 0: return (long) 0; case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) case -2: if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 2: if (8 * sizeof(long) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -3: if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 3: if (8 * sizeof(long) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case -4: if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; case 4: if (8 * sizeof(long) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); } } break; } #endif if (sizeof(long) <= sizeof(long)) { __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) } } { #if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else long val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { PyObject *tmp = v; v = PyNumber_Long(tmp); Py_DECREF(tmp); } #endif if (likely(v)) { int one = 1; int is_little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&val; int ret = _PyLong_AsByteArray((PyLongObject *)v, bytes, sizeof(val), is_little, !is_unsigned); Py_DECREF(v); if (likely(!ret)) return val; } #endif return (long) -1; } } else { long val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); if (!tmp) return (long) -1; val = __Pyx_PyInt_As_long(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, "value too large to convert to long"); return (long) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long) -1; } /* ObjectToMemviewSlice */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_size_t(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1, &__Pyx_TypeInfo_size_t, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } /* CheckBinaryVersion */ static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); return PyErr_WarnEx(NULL, message, 1); } return 0; } /* ModuleImport */ #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif /* TypeImport */ #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%.200s.%.200s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd", module_name, class_name, basicsize, size); if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd", module_name, class_name, basicsize, size); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif /* FunctionImport */ #ifndef __PYX_HAVE_RT_ImportFunction #define __PYX_HAVE_RT_ImportFunction static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) { PyObject *d = 0; PyObject *cobj = 0; union { void (*fp)(void); void *p; } tmp; d = PyObject_GetAttrString(module, (char *)"__pyx_capi__"); if (!d) goto bad; cobj = PyDict_GetItemString(d, funcname); if (!cobj) { PyErr_Format(PyExc_ImportError, "%.200s does not export expected C function %.200s", PyModule_GetName(module), funcname); goto bad; } #if PY_VERSION_HEX >= 0x02070000 if (!PyCapsule_IsValid(cobj, sig)) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj)); goto bad; } tmp.p = PyCapsule_GetPointer(cobj, sig); #else {const char *desc, *s1, *s2; desc = (const char *)PyCObject_GetDesc(cobj); if (!desc) goto bad; s1 = desc; s2 = sig; while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } if (*s1 != *s2) { PyErr_Format(PyExc_TypeError, "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", PyModule_GetName(module), funcname, sig, desc); goto bad; } tmp.p = PyCObject_AsVoidPtr(cobj);} #endif *f = tmp.fp; if (!(*f)) goto bad; Py_DECREF(d); return 0; bad: Py_XDECREF(d); return -1; } #endif /* InitStrings */ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if CYTHON_COMPILING_IN_CPYTHON && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else if (__Pyx_PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_LENGTH(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else return PyUnicode_AsUTF8AndSize(o, length); #endif #endif } else #endif #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) if (PyByteArray_Check(o)) { *length = PyByteArray_GET_SIZE(o); return PyByteArray_AS_STRING(o); } else #endif { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (unlikely(r < 0)) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return __Pyx_NewRef(x); m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%.4s__ returned non-%.4s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject *x; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(b))) { if (sizeof(Py_ssize_t) >= sizeof(long)) return PyInt_AS_LONG(b); else return PyInt_AsSsize_t(x); } #endif if (likely(PyLong_CheckExact(b))) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)b)->ob_digit; const Py_ssize_t size = Py_SIZE(b); if (likely(__Pyx_sst_abs(size) <= 1)) { ival = likely(size) ? digits[0] : 0; if (size == -1) ival = -ival; return ival; } else { switch (size) { case 2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -2: if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -3: if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case 4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; case -4: if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } break; } } #endif return PyLong_AsSsize_t(b); } x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { return PyInt_FromSize_t(ival); } #endif /* Py_PYTHON_H */ PyWavelets-0.5.1/pywt/_extensions/_swt.pyx0000755€>SK[€>P0000001612313017375740022652 0ustar lee8rxdomain^users00000000000000#cython: boundscheck=False, wraparound=False cimport common cimport c_wt import numpy as np cimport numpy as np from common cimport pywt_index_t from ._pywt cimport c_wavelet_from_object, data_t, Wavelet, _check_dtype def swt_max_level(size_t input_len): """ swt_max_level(input_len) Calculates the maximum level of Stationary Wavelet Transform for data of given length. Parameters ---------- input_len : int Input data length. Returns ------- max_level : int Maximum level of Stationary Wavelet Transform for data of given length. """ return common.swt_max_level(input_len) def swt(data_t[::1] data, Wavelet wavelet, size_t level, size_t start_level): cdef data_t[::1] cA, cD cdef Wavelet w cdef int i, retval cdef size_t end_level = start_level + level cdef size_t data_size, output_len if data.size % 2: raise ValueError("Length of data must be even.") if level < 1: raise ValueError("Level value must be greater than zero.") if start_level >= common.swt_max_level(data.size): raise ValueError("start_level must be less than %d." % common.swt_max_level(data.size)) if end_level > common.swt_max_level(data.size): msg = ("Level value too high (max level for current data size and " "start_level is %d)." % (swt_max_level(data.size) - start_level)) raise ValueError(msg) output_len = common.swt_buffer_length(data.size) if output_len < 1: raise RuntimeError("Invalid output length.") ret = [] for i in range(start_level+1, end_level+1): data_size = data.size # alloc memory, decompose D if data_t is np.float64_t: cD = np.zeros(output_len, dtype=np.float64) with nogil: retval = c_wt.double_swt_d(&data[0], data_size, wavelet.w, &cD[0], output_len, i) if retval < 0: raise RuntimeError("C swt failed.") elif data_t is np.float32_t: cD = np.zeros(output_len, dtype=np.float32) with nogil: retval = c_wt.float_swt_d(&data[0], data_size, wavelet.w, &cD[0], output_len, i) if retval < 0: raise RuntimeError("C swt failed.") # alloc memory, decompose A if data_t is np.float64_t: cA = np.zeros(output_len, dtype=np.float64) with nogil: retval = c_wt.double_swt_a(&data[0], data_size, wavelet.w, &cA[0], output_len, i) if retval < 0: raise RuntimeError("C swt failed.") elif data_t is np.float32_t: cA = np.zeros(output_len, dtype=np.float32) with nogil: retval = c_wt.float_swt_a(&data[0], data_size, wavelet.w, &cA[0], output_len, i) if retval < 0: raise RuntimeError("C swt failed.") data = cA ret.append((cA, cD)) ret.reverse() return ret cpdef swt_axis(np.ndarray data, Wavelet wavelet, size_t level, size_t start_level, unsigned int axis=0): # memory-views do not support n-dimensional arrays, use np.ndarray instead cdef common.ArrayInfo data_info, output_info cdef np.ndarray cD, cA # Explicit input_shape necessary to prevent memory leak cdef size_t[::1] input_shape, output_shape cdef size_t end_level = start_level + level cdef int i, retval if data.size % 2: raise ValueError("Length of data must be even.") if level < 1: raise ValueError("Level value must be greater than zero.") if start_level >= common.swt_max_level(data.shape[axis]): raise ValueError("start_level must be less than %d." % common.swt_max_level(data.shape[axis])) if end_level > common.swt_max_level(data.shape[axis]): msg = ("Level value too high (max level for current data size and " "start_level is %d)." % (swt_max_level(data.shape[axis]) - start_level)) raise ValueError(msg) data = data.astype(_check_dtype(data), copy=False) input_shape = data.shape output_shape = input_shape.copy() output_shape[axis] = common.swt_buffer_length(data.shape[axis]) if output_shape[axis] != input_shape[axis]: raise RuntimeError("swt_axis assumes output_shape is the same as " "input_shape") data_info.ndim = data.ndim data_info.strides = data.strides data_info.shape = data.shape cA = np.empty(output_shape, data.dtype) output_info.ndim = cA.ndim output_info.strides = cA.strides output_info.shape = cA.shape ret = [] for i in range(start_level+1, end_level+1): if data.dtype == np.float64: cA = np.zeros(output_shape, dtype=np.float64) with nogil: retval = c_wt.double_downcoef_axis( data.data, data_info, cA.data, output_info, wavelet.w, axis, common.COEF_APPROX, common.MODE_PERIODIZATION, i, common.SWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") cD = np.zeros(output_shape, dtype=np.float64) with nogil: retval = c_wt.double_downcoef_axis( data.data, data_info, cD.data, output_info, wavelet.w, axis, common.COEF_DETAIL, common.MODE_PERIODIZATION, i, common.SWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") elif data.dtype == np.float32: cA = np.zeros(output_shape, dtype=np.float32) with nogil: retval = c_wt.float_downcoef_axis( data.data, data_info, cA.data, output_info, wavelet.w, axis, common.COEF_APPROX, common.MODE_PERIODIZATION, i, common.SWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") cD = np.zeros(output_shape, dtype=np.float32) with nogil: retval = c_wt.float_downcoef_axis( data.data, data_info, cD.data, output_info, wavelet.w, axis, common.COEF_DETAIL, common.MODE_PERIODIZATION, i, common.SWT_TRANSFORM) if retval: raise RuntimeError("C wavelet transform failed") else: raise TypeError("Array must be floating point, not {}" .format(data.dtype)) ret.append((cA, cD)) # previous approx coeffs are the data for the next level data = cA data_info = output_info ret.reverse() return ret PyWavelets-0.5.1/pywt/_extensions/__init__.py0000755€>SK[€>P0000000000013017375740023230 0ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/pywt/_functions.py0000755€>SK[€>P0000001552713017375740021326 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """ Other wavelet related functions. """ from __future__ import division, print_function, absolute_import import warnings import numpy as np from numpy.fft import fft from ._extensions._pywt import DiscreteContinuousWavelet, Wavelet, ContinuousWavelet __all__ = ["integrate_wavelet", "central_frequency", "scale2frequency", "qmf", "orthogonal_filter_bank", "intwave", "centrfrq", "scal2frq", "orthfilt"] _DEPRECATION_MSG = ("`{old}` has been renamed to `{new}` and will " "be removed in a future version of pywt.") def _integrate(arr, step): integral = np.cumsum(arr) integral *= step return integral def intwave(*args, **kwargs): msg = _DEPRECATION_MSG.format(old='intwave', new='integrate_wavelet') warnings.warn(msg, DeprecationWarning) return integrate_wavelet(*args, **kwargs) def centrfrq(*args, **kwargs): msg = _DEPRECATION_MSG.format(old='centrfrq', new='central_frequency') warnings.warn(msg, DeprecationWarning) return central_frequency(*args, **kwargs) def scal2frq(*args, **kwargs): msg = _DEPRECATION_MSG.format(old='scal2frq', new='scale2frequency') warnings.warn(msg, DeprecationWarning) return scale2frequency(*args, **kwargs) def orthfilt(*args, **kwargs): msg = _DEPRECATION_MSG.format(old='orthfilt', new='orthogonal_filter_bank') warnings.warn(msg, DeprecationWarning) return orthogonal_filter_bank(*args, **kwargs) def integrate_wavelet(wavelet, precision=8): """ Integrate `psi` wavelet function from -Inf to x using the rectangle integration method. Parameters ---------- wavelet : Wavelet instance or str Wavelet to integrate. If a string, should be the name of a wavelet. precision : int, optional Precision that will be used for wavelet function approximation computed with the wavefun(level=precision) Wavelet's method (default: 8). Returns ------- [int_psi, x] : for orthogonal wavelets [int_psi_d, int_psi_r, x] : for other wavelets Examples -------- >>> from pywt import Wavelet, integrate_wavelet >>> wavelet1 = Wavelet('db2') >>> [int_psi, x] = integrate_wavelet(wavelet1, precision=5) >>> wavelet2 = Wavelet('bior1.3') >>> [int_psi_d, int_psi_r, x] = integrate_wavelet(wavelet2, precision=5) """ # FIXME: this function should really use scipy.integrate.quad if type(wavelet) in (tuple, list): msg = ("Integration of a general signal is deprecated " "and will be removed in a future version of pywt.") warnings.warn(msg, DeprecationWarning) elif not isinstance(wavelet, (Wavelet, ContinuousWavelet)): wavelet = DiscreteContinuousWavelet(wavelet) if type(wavelet) in (tuple, list): psi, x = np.asarray(wavelet[0]), np.asarray(wavelet[1]) step = x[1] - x[0] return _integrate(psi, step), x functions_approximations = wavelet.wavefun(precision) if len(functions_approximations) == 2: # continuous wavelet psi, x = functions_approximations step = x[1] - x[0] return _integrate(psi, step), x elif len(functions_approximations) == 3: # orthogonal wavelet phi, psi, x = functions_approximations step = x[1] - x[0] return _integrate(psi, step), x else: # biorthogonal wavelet phi_d, psi_d, phi_r, psi_r, x = functions_approximations step = x[1] - x[0] return _integrate(psi_d, step), _integrate(psi_r, step), x def central_frequency(wavelet, precision=8): """ Computes the central frequency of the `psi` wavelet function. Parameters ---------- wavelet : Wavelet instance, str or tuple Wavelet to integrate. If a string, should be the name of a wavelet. precision : int, optional Precision that will be used for wavelet function approximation computed with the wavefun(level=precision) Wavelet's method (default: 8). Returns ------- scalar """ if not isinstance(wavelet, (Wavelet, ContinuousWavelet)): wavelet = DiscreteContinuousWavelet(wavelet) functions_approximations = wavelet.wavefun(precision) if len(functions_approximations) == 2: psi, x = functions_approximations else: # (psi, x) for (phi, psi, x) # (psi_d, x) for (phi_d, psi_d, phi_r, psi_r, x) psi, x = functions_approximations[1], functions_approximations[-1] domain = float(x[-1] - x[0]) assert domain > 0 index = np.argmax(abs(fft(psi)[1:])) + 2 if index > len(psi) / 2: index = len(psi) - index + 2 return 1.0 / (domain / (index - 1)) def scale2frequency(wavelet, scale, precision=8): """ Parameters ---------- wavelet : Wavelet instance or str Wavelet to integrate. If a string, should be the name of a wavelet. scale : scalar precision : int, optional Precision that will be used for wavelet function approximation computed with ``wavelet.wavefun(level=precision)``. Default is 8. Returns ------- freq : scalar """ return central_frequency(wavelet, precision=precision) / scale def qmf(filt): """ Returns the Quadrature Mirror Filter(QMF). The magnitude response of QMF is mirror image about `pi/2` of that of the input filter. Parameters ---------- filt : array_like Input filter for which QMF needs to be computed. Returns ------- qm_filter : ndarray Quadrature mirror of the input filter. """ qm_filter = np.array(filt)[::-1] qm_filter[1::2] = -qm_filter[1::2] return qm_filter def orthogonal_filter_bank(scaling_filter): """ Returns the orthogonal filter bank. The orthogonal filter bank consists of the HPFs and LPFs at decomposition and reconstruction stage for the input scaling filter. Parameters ---------- scaling_filter : array_like Input scaling filter (father wavelet). Returns ------- orth_filt_bank : tuple of 4 ndarrays The orthogonal filter bank of the input scaling filter in the order : 1] Decomposition LPF 2] Decomposition HPF 3] Reconstruction LPF 4] Reconstruction HPF """ if not (len(scaling_filter) % 2 == 0): raise ValueError("`scaling_filter` length has to be even.") scaling_filter = np.asarray(scaling_filter, dtype=np.float64) rec_lo = np.sqrt(2) * scaling_filter / np.sum(scaling_filter) dec_lo = rec_lo[::-1] rec_hi = qmf(rec_lo) dec_hi = rec_hi[::-1] orth_filt_bank = (dec_lo, dec_hi, rec_lo, rec_hi) return orth_filt_bank PyWavelets-0.5.1/pywt/_multidim.py0000755€>SK[€>P0000002243413017375740021135 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """ 2D and nD Discrete Wavelet Transforms and Inverse Discrete Wavelet Transforms. """ from __future__ import division, print_function, absolute_import __all__ = ['dwt2', 'idwt2', 'dwtn', 'idwtn'] from itertools import product import numpy as np from ._extensions._pywt import Wavelet, Modes from ._extensions._dwt import dwt_axis, idwt_axis def dwt2(data, wavelet, mode='symmetric', axes=(-2, -1)): """ 2D Discrete Wavelet Transform. Parameters ---------- data : array_like 2D array with input data wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') axes : 2-tuple of ints, optional Axes over which to compute the DWT. Repeated elements mean the DWT will be performed multiple times along these axes. Returns ------- (cA, (cH, cV, cD)) : tuple Approximation, horizontal detail, vertical detail and diagonal detail coefficients respectively. Horizontal refers to array axis 0 (or ``axes[0]`` for user-specified ``axes``). Examples -------- >>> import numpy as np >>> import pywt >>> data = np.ones((4,4), dtype=np.float64) >>> coeffs = pywt.dwt2(data, 'haar') >>> cA, (cH, cV, cD) = coeffs >>> cA array([[ 2., 2.], [ 2., 2.]]) >>> cV array([[ 0., 0.], [ 0., 0.]]) """ axes = tuple(axes) data = np.asarray(data) if len(axes) != 2: raise ValueError("Expected 2 axes") if data.ndim < len(np.unique(axes)): raise ValueError("Input array has fewer dimensions than the specified " "axes") coefs = dwtn(data, wavelet, mode, axes) return coefs['aa'], (coefs['da'], coefs['ad'], coefs['dd']) def idwt2(coeffs, wavelet, mode='symmetric', axes=(-2, -1)): """ 2-D Inverse Discrete Wavelet Transform. Reconstructs data from coefficient arrays. Parameters ---------- coeffs : tuple (cA, (cH, cV, cD)) A tuple with approximation coefficients and three details coefficients 2D arrays like from `dwt2()` wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') axes : 2-tuple of ints, optional Axes over which to compute the IDWT. Repeated elements mean the IDWT will be performed multiple times along these axes. Examples -------- >>> import numpy as np >>> import pywt >>> data = np.array([[1,2], [3,4]], dtype=np.float64) >>> coeffs = pywt.dwt2(data, 'haar') >>> pywt.idwt2(coeffs, 'haar') array([[ 1., 2.], [ 3., 4.]]) """ # L -low-pass data, H - high-pass data LL, (HL, LH, HH) = coeffs axes = tuple(axes) if len(axes) != 2: raise ValueError("Expected 2 axes") coeffs = {'aa': LL, 'da': HL, 'ad': LH, 'dd': HH} # drop the keys corresponding to value = None coeffs = dict((k, v) for k, v in coeffs.items() if v is not None) return idwtn(coeffs, wavelet, mode, axes) def dwtn(data, wavelet, mode='symmetric', axes=None): """ Single-level n-dimensional Discrete Wavelet Transform. Parameters ---------- data : array_like n-dimensional array with input data. wavelet : Wavelet object or name string Wavelet to use. mode : str, optional Signal extension mode, see `Modes`. Default is 'symmetric'. axes : sequence of ints, optional Axes over which to compute the DWT. Repeated elements mean the DWT will be performed multiple times along these axes. A value of ``None`` (the default) selects all axes. Axes may be repeated, but information about the original size may be lost if it is not divisible by ``2 ** nrepeats``. The reconstruction will be larger, with additional values derived according to the ``mode`` parameter. ``pywt.wavedecn`` should be used for multilevel decomposition. Returns ------- coeffs : dict Results are arranged in a dictionary, where key specifies the transform type on each dimension and value is a n-dimensional coefficients array. For example, for a 2D case the result will look something like this:: {'aa': # A(LL) - approx. on 1st dim, approx. on 2nd dim 'ad': # V(LH) - approx. on 1st dim, det. on 2nd dim 'da': # H(HL) - det. on 1st dim, approx. on 2nd dim 'dd': # D(HH) - det. on 1st dim, det. on 2nd dim } For user-specified ``axes``, the order of the characters in the dictionary keys map to the specified ``axes``. """ data = np.asarray(data) if np.iscomplexobj(data): real = dwtn(data.real, wavelet, mode, axes) imag = dwtn(data.imag, wavelet, mode, axes) return dict((k, real[k] + 1j * imag[k]) for k in real.keys()) if data.dtype == np.dtype('object'): raise TypeError("Input must be a numeric array-like") if data.ndim < 1: raise ValueError("Input data must be at least 1D") if axes is None: axes = range(data.ndim) axes = (a + data.ndim if a < 0 else a for a in axes) mode = Modes.from_object(mode) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) coeffs = [('', data)] for axis in axes: new_coeffs = [] for subband, x in coeffs: cA, cD = dwt_axis(x, wavelet, mode, axis) new_coeffs.extend([(subband + 'a', cA), (subband + 'd', cD)]) coeffs = new_coeffs return dict(coeffs) def _fix_coeffs(coeffs): missing_keys = [k for k, v in coeffs.items() if v is None] if missing_keys: raise ValueError( "The following detail coefficients were set to None: " "{}.".format(missing_keys)) invalid_keys = [k for k, v in coeffs.items() if not set(k) <= set('ad')] if invalid_keys: raise ValueError( "The following invalid keys were found in the detail " "coefficient dictionary: {}.".format(invalid_keys)) key_lengths = [len(k) for k in coeffs.keys()] if len(np.unique(key_lengths)) > 1: raise ValueError( "All detail coefficient names must have equal length.") return dict((k, np.asarray(v)) for k, v in coeffs.items()) def idwtn(coeffs, wavelet, mode='symmetric', axes=None): """ Single-level n-dimensional Inverse Discrete Wavelet Transform. Parameters ---------- coeffs: dict Dictionary as in output of `dwtn`. Missing or None items will be treated as zeroes. wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode used in the decomposition, see Modes (default: 'symmetric'). axes : sequence of ints, optional Axes over which to compute the IDWT. Repeated elements mean the IDWT will be performed multiple times along these axes. A value of ``None`` (the default) selects all axes. For the most accurate reconstruction, the axes should be provided in the same order as they were provided to ``dwtn``. Returns ------- data: ndarray Original signal reconstructed from input data. """ if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) mode = Modes.from_object(mode) # Raise error for invalid key combinations coeffs = _fix_coeffs(coeffs) if any(np.iscomplexobj(v) for v in coeffs.values()): real_coeffs = dict((k, v.real) for k, v in coeffs.items()) imag_coeffs = dict((k, v.imag) for k, v in coeffs.items()) return (idwtn(real_coeffs, wavelet, mode, axes) + 1j * idwtn(imag_coeffs, wavelet, mode, axes)) # key length matches the number of axes transformed ndim_transform = max(len(key) for key in coeffs.keys()) try: coeff_shapes = (v.shape for k, v in coeffs.items() if v is not None and len(k) == ndim_transform) coeff_shape = next(coeff_shapes) except StopIteration: raise ValueError("`coeffs` must contain at least one non-null wavelet " "band") if any(s != coeff_shape for s in coeff_shapes): raise ValueError("`coeffs` must all be of equal size (or None)") if axes is None: axes = range(ndim_transform) ndim = ndim_transform else: ndim = len(coeff_shape) axes = (a + ndim if a < 0 else a for a in axes) for key_length, axis in reversed(list(enumerate(axes))): if axis < 0 or axis >= ndim: raise ValueError("Axis greater than data dimensions") new_coeffs = {} new_keys = [''.join(coef) for coef in product('ad', repeat=key_length)] for key in new_keys: L = coeffs.get(key + 'a', None) H = coeffs.get(key + 'd', None) new_coeffs[key] = idwt_axis(L, H, wavelet, mode, axis) coeffs = new_coeffs return coeffs[''] PyWavelets-0.5.1/pywt/_multilevel.py0000755€>SK[€>P0000006424413017375740021500 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """ Multilevel 1D and 2D Discrete Wavelet Transform and Inverse Discrete Wavelet Transform. """ from __future__ import division, print_function, absolute_import import warnings from copy import copy import numpy as np from ._extensions._pywt import Wavelet from ._extensions._dwt import dwt_max_level from ._dwt import dwt, idwt from ._multidim import dwt2, idwt2, dwtn, idwtn, _fix_coeffs __all__ = ['wavedec', 'waverec', 'wavedec2', 'waverec2', 'wavedecn', 'waverecn', 'coeffs_to_array', 'array_to_coeffs'] def _check_level(size, dec_len, level): """ Set the default decomposition level or check if requested level is valid. """ if level is None: level = dwt_max_level(size, dec_len) elif level < 0: raise ValueError( "Level value of %d is too low . Minimum level is 0." % level) else: max_level = dwt_max_level(size, dec_len) if level > max_level: raise ValueError( "Level value of %d is too high. Maximum allowed is %d." % ( level, max_level)) return level def wavedec(data, wavelet, mode='symmetric', level=None, axis=-1): """ Multilevel 1D Discrete Wavelet Transform of data. Parameters ---------- data: array_like Input data wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') level : int, optional Decomposition level (must be >= 0). If level is None (default) then it will be calculated using the ``dwt_max_level`` function. axis: int, optional Axis over which to compute the DWT. If not given, the last axis is used. Returns ------- [cA_n, cD_n, cD_n-1, ..., cD2, cD1] : list Ordered list of coefficients arrays where `n` denotes the level of decomposition. The first element (`cA_n`) of the result is approximation coefficients array and the following elements (`cD_n` - `cD_1`) are details coefficients arrays. Examples -------- >>> from pywt import wavedec >>> coeffs = wavedec([1,2,3,4,5,6,7,8], 'db1', level=2) >>> cA2, cD2, cD1 = coeffs >>> cD1 array([-0.70710678, -0.70710678, -0.70710678, -0.70710678]) >>> cD2 array([-2., -2.]) >>> cA2 array([ 5., 13.]) """ data = np.asarray(data) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) try: axes_shape = data.shape[axis] except IndexError: raise ValueError("Axis greater than data dimensions") level = _check_level(axes_shape, wavelet.dec_len, level) coeffs_list = [] a = data for i in range(level): a, d = dwt(a, wavelet, mode, axis) coeffs_list.append(d) coeffs_list.append(a) coeffs_list.reverse() return coeffs_list def waverec(coeffs, wavelet, mode='symmetric', axis=-1): """ Multilevel 1D Inverse Discrete Wavelet Transform. Parameters ---------- coeffs : array_like Coefficients list [cAn, cDn, cDn-1, ..., cD2, cD1] wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') axis: int, optional Axis over which to compute the inverse DWT. If not given, the last axis is used. Examples -------- >>> import pywt >>> coeffs = pywt.wavedec([1,2,3,4,5,6,7,8], 'db1', level=2) >>> pywt.waverec(coeffs, 'db1') array([ 1., 2., 3., 4., 5., 6., 7., 8.]) """ if not isinstance(coeffs, (list, tuple)): raise ValueError("Expected sequence of coefficient arrays.") if len(coeffs) < 1: raise ValueError( "Coefficient list too short (minimum 1 arrays required).") elif len(coeffs) == 1: # level 0 transform (just returns the approximation coefficients) return coeffs[0] a, ds = coeffs[0], coeffs[1:] for d in ds: if (a is not None) and (d is not None) and (len(a) == len(d) + 1): a = a[:-1] a = idwt(a, d, wavelet, mode, axis) return a def wavedec2(data, wavelet, mode='symmetric', level=None, axes=(-2, -1)): """ Multilevel 2D Discrete Wavelet Transform. Parameters ---------- data : ndarray 2D input data wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') level : int, optional Decomposition level (must be >= 0). If level is None (default) then it will be calculated using the ``dwt_max_level`` function. axes : 2-tuple of ints, optional Axes over which to compute the DWT. Repeated elements are not allowed. Returns ------- [cAn, (cHn, cVn, cDn), ... (cH1, cV1, cD1)] : list Coefficients list. For user-specified ``axes``, ``cH*`` corresponds to ``axes[0]`` while ``cV*`` corresponds to ``axes[1]``. The first element returned is the approximation coefficients for the nth level of decomposition. Remaining elements are tuples of detail coefficients in descending order of decomposition level. (i.e. cH1 are the horizontal detail coefficients at the first level) Examples -------- >>> import pywt >>> import numpy as np >>> coeffs = pywt.wavedec2(np.ones((4,4)), 'db1') >>> # Levels: >>> len(coeffs)-1 2 >>> pywt.waverec2(coeffs, 'db1') array([[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]]) """ data = np.asarray(data) if data.ndim < 2: raise ValueError("Expected input data to have at least 2 dimensions.") if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) axes = tuple(axes) if len(axes) != 2: raise ValueError("Expected 2 axes") if len(axes) != len(set(axes)): raise ValueError("The axes passed to wavedec2 must be unique.") try: axes_sizes = [data.shape[ax] for ax in axes] except IndexError: raise ValueError("Axis greater than data dimensions") level = _check_level(min(axes_sizes), wavelet.dec_len, level) coeffs_list = [] a = data for i in range(level): a, ds = dwt2(a, wavelet, mode, axes) coeffs_list.append(ds) coeffs_list.append(a) coeffs_list.reverse() return coeffs_list def waverec2(coeffs, wavelet, mode='symmetric', axes=(-2, -1)): """ Multilevel 2D Inverse Discrete Wavelet Transform. coeffs : list or tuple Coefficients list [cAn, (cHn, cVn, cDn), ... (cH1, cV1, cD1)] wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') axes : 2-tuple of ints, optional Axes over which to compute the IDWT. Repeated elements are not allowed. Returns ------- 2D array of reconstructed data. Examples -------- >>> import pywt >>> import numpy as np >>> coeffs = pywt.wavedec2(np.ones((4,4)), 'db1') >>> # Levels: >>> len(coeffs)-1 2 >>> pywt.waverec2(coeffs, 'db1') array([[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]]) """ if not isinstance(coeffs, (list, tuple)): raise ValueError("Expected sequence of coefficient arrays.") if len(axes) != len(set(axes)): raise ValueError("The axes passed to waverec2 must be unique.") if len(coeffs) < 1: raise ValueError( "Coefficient list too short (minimum 1 array required).") elif len(coeffs) == 1: # level 0 transform (just returns the approximation coefficients) return coeffs[0] a, ds = coeffs[0], coeffs[1:] a = np.asarray(a) for d in ds: d = tuple(np.asarray(coeff) if coeff is not None else None for coeff in d) d_shapes = (coeff.shape for coeff in d if coeff is not None) try: d_shape = next(d_shapes) except StopIteration: idxs = slice(None), slice(None) else: if not all(s == d_shape for s in d_shapes): raise ValueError("All detail shapes must be the same length.") idxs = tuple(slice(None, -1 if a_len == d_len + 1 else None) for a_len, d_len in zip(a.shape, d_shape)) a = idwt2((a[idxs], d), wavelet, mode, axes) return a def wavedecn(data, wavelet, mode='symmetric', level=None, axes=None): """ Multilevel nD Discrete Wavelet Transform. Parameters ---------- data : ndarray nD input data wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') level : int, optional Decomposition level (must be >= 0). If level is None (default) then it will be calculated using the ``dwt_max_level`` function. axes : sequence of ints, optional Axes over which to compute the DWT. Axes may not be repeated. The default is ``None``, which means transform all axes (``axes = range(data.ndim)``). Returns ------- [cAn, {details_level_n}, ... {details_level_1}] : list Coefficients list. Coefficients are listed in descending order of decomposition level. ``cAn`` are the approximation coefficients at level ``n``. Each ``details_level_i`` element is a dictionary containing detail coefficients at level `i` of the decomposition. As a concrete example, a 3D decomposition would have the following set of keys in each ``details_level_i`` dictionary:: {'aad', 'ada', 'daa', 'add', 'dad', 'dda', 'ddd'} where the order of the characters in each key map to the specified ``axes``. Examples -------- >>> import numpy as np >>> from pywt import wavedecn, waverecn >>> coeffs = wavedecn(np.ones((4, 4, 4)), 'db1') >>> # Levels: >>> len(coeffs)-1 2 >>> waverecn(coeffs, 'db1') # doctest: +NORMALIZE_WHITESPACE array([[[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]], [[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]], [[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]], [[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]]]) """ data = np.asarray(data) if len(data.shape) < 1: raise ValueError("Expected at least 1D input data.") if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) if np.isscalar(axes): axes = (axes, ) if axes is None: axes = range(data.ndim) else: axes = tuple(axes) if len(axes) != len(set(axes)): raise ValueError("The axes passed to wavedecn must be unique.") ndim_transform = len(axes) try: axes_shapes = [data.shape[ax] for ax in axes] except IndexError: raise ValueError("Axis greater than data dimensions") level = _check_level(min(axes_shapes), wavelet.dec_len, level) coeffs_list = [] a = data for i in range(level): coeffs = dwtn(a, wavelet, mode, axes) a = coeffs.pop('a' * ndim_transform) coeffs_list.append(coeffs) coeffs_list.append(a) coeffs_list.reverse() return coeffs_list def _match_coeff_dims(a_coeff, d_coeff_dict): # For each axis, compare the approximation coeff shape to one of the # stored detail coeffs and truncate the last element along the axis # if necessary. if a_coeff is None: return None if not d_coeff_dict: return a_coeff d_coeff = d_coeff_dict[next(iter(d_coeff_dict))] size_diffs = np.subtract(a_coeff.shape, d_coeff.shape) if np.any((size_diffs < 0) | (size_diffs > 1)): raise ValueError("incompatible coefficient array sizes") return a_coeff[[slice(s) for s in d_coeff.shape]] def waverecn(coeffs, wavelet, mode='symmetric', axes=None): """ Multilevel nD Inverse Discrete Wavelet Transform. coeffs : array_like Coefficients list [cAn, {details_level_n}, ... {details_level_1}] wavelet : Wavelet object or name string Wavelet to use mode : str, optional Signal extension mode, see Modes (default: 'symmetric') axes : sequence of ints, optional Axes over which to compute the IDWT. Axes may not be repeated. Returns ------- nD array of reconstructed data. Examples -------- >>> import numpy as np >>> from pywt import wavedecn, waverecn >>> coeffs = wavedecn(np.ones((4, 4, 4)), 'db1') >>> # Levels: >>> len(coeffs)-1 2 >>> waverecn(coeffs, 'db1') # doctest: +NORMALIZE_WHITESPACE array([[[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]], [[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]], [[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]], [[ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.], [ 1., 1., 1., 1.]]]) """ if len(coeffs) < 1: raise ValueError( "Coefficient list too short (minimum 1 array required).") a, ds = coeffs[0], coeffs[1:] # Raise error for invalid key combinations ds = list(map(_fix_coeffs, ds)) if not ds: # level 0 transform (just returns the approximation coefficients) return coeffs[0] if a is None and not any(ds): raise ValueError("At least one coefficient must contain a valid value.") coeff_ndims = [] if a is not None: a = np.asarray(a) coeff_ndims.append(a.ndim) for d in ds: coeff_ndims += [v.ndim for k, v in d.items()] # test that all coefficients have a matching number of dimensions unique_coeff_ndims = np.unique(coeff_ndims) if len(unique_coeff_ndims) == 1: ndim = unique_coeff_ndims[0] else: raise ValueError( "All coefficients must have a matching number of dimensions") if np.isscalar(axes): axes = (axes, ) if axes is None: axes = range(ndim) else: axes = tuple(axes) if len(axes) != len(set(axes)): raise ValueError("The axes passed to waverecn must be unique.") ndim_transform = len(axes) for idx, d in enumerate(ds): if a is None and not d: continue # The following if statement handles the case where the approximation # coefficient returned at the previous level may exceed the size of the # stored detail coefficients by 1 on any given axis. if idx > 0: a = _match_coeff_dims(a, d) d['a' * ndim_transform] = a a = idwtn(d, wavelet, mode, axes) return a def _coeffs_wavedec_to_wavedecn(coeffs): """Convert wavedec coefficients to the wavedecn format.""" if len(coeffs) == 0: return coeffs coeffs = copy(coeffs) for n in range(1, len(coeffs)): if coeffs[n] is None: continue if coeffs[n].ndim != 1: raise ValueError("expected a 1D coefficient array") coeffs[n] = dict(d=coeffs[n]) return coeffs def _coeffs_wavedec2_to_wavedecn(coeffs): """Convert wavedec2 coefficients to the wavedecn format.""" if len(coeffs) == 0: return coeffs coeffs = copy(coeffs) for n in range(1, len(coeffs)): if not isinstance(coeffs[n], (tuple, list)) or len(coeffs[n]) != 3: raise ValueError("expected a 3-tuple of detail coefficients") (da, ad, dd) = coeffs[n] coeffs[n] = dict(ad=ad, da=da, dd=dd) return coeffs def _determine_coeff_array_shape(coeffs, axes): arr_shape = np.asarray(coeffs[0].shape) axes = np.asarray(axes) # axes that were transformed ndim_transform = len(axes) ncoeffs = coeffs[0].size for d in coeffs[1:]: arr_shape[axes] += np.asarray(d['d'*ndim_transform].shape)[axes] for k, v in d.items(): ncoeffs += v.size arr_shape = tuple(arr_shape.tolist()) # if the total number of coefficients doesn't equal the size of the array # then tight packing is not possible. is_tight_packing = (np.prod(arr_shape) == ncoeffs) return arr_shape, is_tight_packing def coeffs_to_array(coeffs, padding=0, axes=None): """ Arrange a wavelet coefficient list from `wavedecn` into a single array. Parameters ---------- coeffs: array-like dictionary of wavelet coefficients as returned by pywt.wavedecn padding : float or None, optional If None, raise an error if the coefficients cannot be tightly packed. axes : sequence of ints, optional Axes over which the DWT that created ``coeffs`` was performed. The default value of ``None`` corresponds to all axes. Returns ------- coeff_arr : array-like Wavelet transform coefficient array. coeff_slices : list List of slices corresponding to each coefficient. As a 2D example, `coeff_arr[coeff_slices[1]['dd']]` would extract the first level detail coefficients from `coeff_arr`. See Also -------- array_to_coeffs : the inverse of coeffs_to_array Notes ----- Assume a 2D coefficient dictionary, c, from a two-level transform. Then all 2D coefficients will be stacked into a single larger 2D array as follows:: +---------------+---------------+-------------------------------+ | | | | | c[0] | c[1]['da'] | | | | | | +---------------+---------------+ c[2]['da'] | | | | | | c[1]['ad'] | c[1]['dd'] | | | | | | +---------------+---------------+ ------------------------------+ | | | | | | | | | | c[2]['ad'] | c[2]['dd'] | | | | | | | | | | +-------------------------------+-------------------------------+ Examples -------- >>> import pywt >>> cam = pywt.data.camera() >>> coeffs = pywt.wavedecn(cam, wavelet='db2', level=3) >>> arr, coeff_slices = pywt.coeffs_to_array(coeffs) """ if not isinstance(coeffs, list) or len(coeffs) == 0: raise ValueError("input must be a list of coefficients from wavedecn") if coeffs[0] is None: raise ValueError("coeffs_to_array does not support missing " "coefficients.") if not isinstance(coeffs[0], np.ndarray): raise ValueError("first list element must be a numpy array") if len(coeffs) > 1: # convert wavedec or wavedec2 format coefficients to waverecn format if isinstance(coeffs[1], dict): pass elif isinstance(coeffs[1], np.ndarray): coeffs = _coeffs_wavedec_to_wavedecn(coeffs) elif isinstance(coeffs[1], (tuple, list)): coeffs = _coeffs_wavedec2_to_wavedecn(coeffs) else: raise ValueError("invalid coefficient list") # initialize with the approximation coefficients. a_coeffs = coeffs[0] a_shape = a_coeffs.shape ndim = a_coeffs.ndim if len(coeffs) == 1: # only a single approximation coefficient array was found return a_coeffs, [[slice(None)] * ndim] # Determine the number of dimensions that were transformed via key length ndim_transform = len(list(coeffs[1].keys())[0]) if axes is None: if ndim_transform < ndim: raise ValueError( "coeffs corresponds to a DWT performed over only a subset of " "the axes. In this case, axes must be specified.") axes = np.arange(ndim) if len(axes) != ndim_transform: raise ValueError( "The length of axes doesn't match the number of dimensions " "transformed.") # determine size of output and if tight packing is possible arr_shape, is_tight_packing = _determine_coeff_array_shape(coeffs, axes) # preallocate output array if padding is None: if not is_tight_packing: raise ValueError("array coefficients cannot be tightly packed") coeff_arr = np.empty(arr_shape, dtype=a_coeffs.dtype) else: coeff_arr = np.full(arr_shape, padding, dtype=a_coeffs.dtype) a_slices = [slice(s) for s in a_shape] coeff_arr[a_slices] = a_coeffs # initialize list of coefficient slices coeff_slices = [] coeff_slices.append(a_slices) # loop over the detail cofficients, adding them to coeff_arr ds = coeffs[1:] for coeff_dict in ds: coeff_slices.append({}) # new dictionary for detail coefficients if np.any([d is None for d in coeff_dict.values()]): raise ValueError("coeffs_to_array does not support missing " "coefficients.") d_shape = coeff_dict['d' * ndim_transform].shape for key in coeff_dict.keys(): d = coeff_dict[key] slice_array = [slice(None), ] * ndim for i, let in enumerate(key): ax_i = axes[i] # axis corresponding to this transform index if let == 'a': slice_array[ax_i] = slice(d.shape[ax_i]) elif let == 'd': slice_array[ax_i] = slice(a_shape[ax_i], a_shape[ax_i] + d.shape[ax_i]) else: raise ValueError("unexpected letter: {}".format(let)) coeff_arr[slice_array] = d coeff_slices[-1][key] = slice_array a_shape = [a_shape[n] + d_shape[n] for n in range(ndim)] return coeff_arr, coeff_slices def array_to_coeffs(arr, coeff_slices, output_format='wavedecn'): """ Convert a combined array of coefficients back to a list compatible with `waverecn`. Parameters ---------- arr: array-like An array containing all wavelet coefficients. This should have been generated via `coeffs_to_array`. coeff_slices : list of tuples List of slices corresponding to each coefficient as obtained from `array_to_coeffs`. output_format : {'wavedec', 'wavedec2', 'wavedecn'} Make the form of the coefficients compatible with this type of multilevel transform. Returns ------- coeffs: array-like Wavelet transform coefficient array. See Also -------- coeffs_to_array : the inverse of array_to_coeffs Notes ----- A single large array containing all coefficients will have subsets stored, into a `waverecn` list, c, as indicated below:: +---------------+---------------+-------------------------------+ | | | | | c[0] | c[1]['da'] | | | | | | +---------------+---------------+ c[2]['da'] | | | | | | c[1]['ad'] | c[1]['dd'] | | | | | | +---------------+---------------+ ------------------------------+ | | | | | | | | | | c[2]['ad'] | c[2]['dd'] | | | | | | | | | | +-------------------------------+-------------------------------+ Examples -------- >>> import pywt >>> from numpy.testing import assert_array_almost_equal >>> cam = pywt.data.camera() >>> coeffs = pywt.wavedecn(cam, wavelet='db2', level=3) >>> arr, coeff_slices = pywt.coeffs_to_array(coeffs) >>> coeffs_from_arr = pywt.array_to_coeffs(arr, coeff_slices) >>> cam_recon = pywt.waverecn(coeffs_from_arr, wavelet='db2') >>> assert_array_almost_equal(cam, cam_recon) """ arr = np.asarray(arr) coeffs = [] if len(coeff_slices) == 0: raise ValueError("empty list of coefficient slices") else: coeffs.append(arr[coeff_slices[0]]) # difference coefficients at each level for n in range(1, len(coeff_slices)): if output_format == 'wavedec': d = arr[coeff_slices[n]['d']] elif output_format == 'wavedec2': d = (arr[coeff_slices[n]['da']], arr[coeff_slices[n]['ad']], arr[coeff_slices[n]['dd']]) elif output_format == 'wavedecn': d = {} for k, v in coeff_slices[n].items(): d[k] = arr[v] else: raise ValueError( "Unrecognized output format: {}".format(output_format)) coeffs.append(d) return coeffs PyWavelets-0.5.1/pywt/_swt.py0000755€>SK[€>P0000003274613017375740020135 0ustar lee8rxdomain^users00000000000000from ._extensions._swt import swt_max_level, swt as _swt, swt_axis as _swt_axis from ._extensions._pywt import Wavelet, _check_dtype import warnings import numpy as np from ._extensions._swt import swt_axis as _swt_axis from ._dwt import idwt from ._multidim import idwt2 __all__ = ["swt", "swt_max_level", 'iswt', 'swt2', 'iswt2', 'swtn'] def swt(data, wavelet, level=None, start_level=0, axis=-1): """ Multilevel 1D stationary wavelet transform. Parameters ---------- data : Input signal wavelet : Wavelet to use (Wavelet object or name) level : int, optional The number of decomposition steps to perform. start_level : int, optional The level at which the decomposition will begin (it allows one to skip a given number of transform steps and compute coefficients starting from start_level) (default: 0) axis: int, optional Axis over which to compute the SWT. If not given, the last axis is used. Returns ------- coeffs : list List of approximation and details coefficients pairs in order similar to wavedec function:: [(cAn, cDn), ..., (cA2, cD2), (cA1, cD1)] where n equals input parameter ``level``. If ``start_level = m`` is given, then the beginning m steps are skipped:: [(cAm+n, cDm+n), ..., (cAm+1, cDm+1), (cAm, cDm)] """ if np.iscomplexobj(data): data = np.asarray(data) coeffs_real = swt(data.real, wavelet, level, start_level) coeffs_imag = swt(data.imag, wavelet, level, start_level) coeffs_cplx = [] for (cA_r, cD_r), (cA_i, cD_i) in zip(coeffs_real, coeffs_imag): coeffs_cplx.append((cA_r + 1j*cA_i, cD_r + 1j*cD_i)) return coeffs_cplx # accept array_like input; make a copy to ensure a contiguous array dt = _check_dtype(data) data = np.array(data, dtype=dt) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) if level is None: level = swt_max_level(len(data)) if axis < 0: axis = axis + data.ndim if not 0 <= axis < data.ndim: raise ValueError("Axis greater than data dimensions") if data.ndim == 1: ret = _swt(data, wavelet, level, start_level) else: ret = _swt_axis(data, wavelet, level, start_level, axis) return [(np.asarray(cA), np.asarray(cD)) for cA, cD in ret] def iswt(coeffs, wavelet): """ Multilevel 1D inverse discrete stationary wavelet transform. Parameters ---------- coeffs : array_like Coefficients list of tuples:: [(cAn, cDn), ..., (cA2, cD2), (cA1, cD1)] where cA is approximation, cD is details. Index 1 corresponds to ``start_level`` from ``pywt.swt``. wavelet : Wavelet object or name string Wavelet to use Returns ------- 1D array of reconstructed data. Examples -------- >>> import pywt >>> coeffs = pywt.swt([1,2,3,4,5,6,7,8], 'db2', level=2) >>> pywt.iswt(coeffs, 'db2') array([ 1., 2., 3., 4., 5., 6., 7., 8.]) """ output = coeffs[0][0].copy() # Avoid modification of input data # num_levels, equivalent to the decomposition level, n num_levels = len(coeffs) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) for j in range(num_levels, 0, -1): step_size = int(pow(2, j-1)) last_index = step_size _, cD = coeffs[num_levels - j] for first in range(last_index): # 0 to last_index - 1 # Getting the indices that we will transform indices = np.arange(first, len(cD), step_size) # select the even indices even_indices = indices[0::2] # select the odd indices odd_indices = indices[1::2] # perform the inverse dwt on the selected indices, # making sure to use periodic boundary conditions x1 = idwt(output[even_indices], cD[even_indices], wavelet, 'periodization') x2 = idwt(output[odd_indices], cD[odd_indices], wavelet, 'periodization') # perform a circular shift right x2 = np.roll(x2, 1) # average and insert into the correct indices output[indices] = (x1 + x2)/2. return output def swt2(data, wavelet, level, start_level=0, axes=(-2, -1)): """ Multilevel 2D stationary wavelet transform. Parameters ---------- data : array_like 2D array with input data wavelet : Wavelet object or name string Wavelet to use level : int The number of decomposition steps to perform. start_level : int, optional The level at which the decomposition will start (default: 0) axes : 2-tuple of ints, optional Axes over which to compute the SWT. Repeated elements are not allowed. Returns ------- coeffs : list Approximation and details coefficients:: [ (cA_m, (cH_m, cV_m, cD_m) ), (cA_m+1, (cH_m+1, cV_m+1, cD_m+1) ), ..., (cA_m+level, (cH_m+level, cV_m+level, cD_m+level) ) ] where cA is approximation, cH is horizontal details, cV is vertical details, cD is diagonal details and m is ``start_level``. """ axes = tuple(axes) data = np.asarray(data) if len(axes) != 2: raise ValueError("Expected 2 axes") if len(axes) != len(set(axes)): raise ValueError("The axes passed to swt2 must be unique.") if data.ndim < len(np.unique(axes)): raise ValueError("Input array has fewer dimensions than the specified " "axes") coefs = swtn(data, wavelet, level, start_level, axes) ret = [] for c in coefs: ret.append((c['aa'], (c['da'], c['ad'], c['dd']))) warnings.warn( "For consistency with the rest of PyWavelets, the order of the list " "returned by swt2 will be reversed in the next release. " "In other words, the levels will be sorted in descending rather than " "ascending order.", FutureWarning) # reverse order for backwards compatiblity ret.reverse() return ret def iswt2(coeffs, wavelet): """ Multilevel 2D inverse discrete stationary wavelet transform. Parameters ---------- coeffs : list Approximation and details coefficients:: [ (cA_1, (cH_1, cV_1, cD_1) ), (cA_2, (cH_2, cV_2, cD_2) ), ..., (cA_n (cH_n, cV_n, cD_n) ) ] where cA is approximation, cH is horizontal details, cV is vertical details, cD is diagonal details and n is the number of levels. Index 1 corresponds to ``start_level`` from ``pywt.swt2``. wavelet : Wavelet object or name string Wavelet to use Returns ------- 2D array of reconstructed data. Examples -------- >>> import pywt >>> coeffs = pywt.swt2([[1,2,3,4],[5,6,7,8], ... [9,10,11,12],[13,14,15,16]], ... 'db1', level=2) >>> pywt.iswt2(coeffs, 'db1') array([[ 1., 2., 3., 4.], [ 5., 6., 7., 8.], [ 9., 10., 11., 12.], [ 13., 14., 15., 16.]]) """ output = coeffs[-1][0].copy() # Avoid modification of input data # num_levels, equivalent to the decomposition level, n num_levels = len(coeffs) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) for j in range(num_levels, 0, -1): step_size = int(pow(2, j-1)) last_index = step_size _, (cH, cV, cD) = coeffs[j-1] # We are going to assume cH, cV, and cD are square and of equal size if (cH.shape != cV.shape) or (cH.shape != cD.shape) or ( cH.shape[0] != cH.shape[1]): raise RuntimeError( "Mismatch in shape of intermediate coefficient arrays") for first_h in range(last_index): # 0 to last_index - 1 for first_w in range(last_index): # 0 to last_index - 1 # Getting the indices that we will transform indices_h = slice(first_h, cH.shape[0], step_size) indices_w = slice(first_w, cH.shape[1], step_size) even_idx_h = slice(first_h, cH.shape[0], 2*step_size) even_idx_w = slice(first_w, cH.shape[1], 2*step_size) odd_idx_h = slice(first_h + step_size, cH.shape[0], 2*step_size) odd_idx_w = slice(first_w + step_size, cH.shape[1], 2*step_size) # perform the inverse dwt on the selected indices, # making sure to use periodic boundary conditions x1 = idwt2((output[even_idx_h, even_idx_w], (cH[even_idx_h, even_idx_w], cV[even_idx_h, even_idx_w], cD[even_idx_h, even_idx_w])), wavelet, 'periodization') x2 = idwt2((output[even_idx_h, odd_idx_w], (cH[even_idx_h, odd_idx_w], cV[even_idx_h, odd_idx_w], cD[even_idx_h, odd_idx_w])), wavelet, 'periodization') x3 = idwt2((output[odd_idx_h, even_idx_w], (cH[odd_idx_h, even_idx_w], cV[odd_idx_h, even_idx_w], cD[odd_idx_h, even_idx_w])), wavelet, 'periodization') x4 = idwt2((output[odd_idx_h, odd_idx_w], (cH[odd_idx_h, odd_idx_w], cV[odd_idx_h, odd_idx_w], cD[odd_idx_h, odd_idx_w])), wavelet, 'periodization') # perform a circular shifts x2 = np.roll(x2, 1, axis=1) x3 = np.roll(x3, 1, axis=0) x4 = np.roll(x4, 1, axis=0) x4 = np.roll(x4, 1, axis=1) output[indices_h, indices_w] = (x1 + x2 + x3 + x4) / 4 warnings.warn( "For consistency with the rest of PyWavelets, the order of levels in " "coeffs expected by iswt2 will be reversed in the next release. " "In other words, the levels will be sorted in descending rather than " "ascending order.", FutureWarning) return output def swtn(data, wavelet, level, start_level=0, axes=None): """ n-dimensional stationary wavelet transform. Parameters ---------- data : array_like n-dimensional array with input data. wavelet : Wavelet object or name string Wavelet to use. level : int The number of decomposition steps to perform. start_level : int, optional The level at which the decomposition will start (default: 0) axes : sequence of ints, optional Axes over which to compute the SWT. A value of ``None`` (the default) selects all axes. Axes may not be repeated. Returns ------- [{coeffs_level_n}, ..., {coeffs_level_1}]: list of dict Results for each level are arranged in a dictionary, where the key specifies the transform type on each dimension and value is a n-dimensional coefficients array. For example, for a 2D case the result at a given level will look something like this:: {'aa': # A(LL) - approx. on 1st dim, approx. on 2nd dim 'ad': # V(LH) - approx. on 1st dim, det. on 2nd dim 'da': # H(HL) - det. on 1st dim, approx. on 2nd dim 'dd': # D(HH) - det. on 1st dim, det. on 2nd dim } For user-specified ``axes``, the order of the characters in the dictionary keys map to the specified ``axes``. """ data = np.asarray(data) if np.iscomplexobj(data): real = swtn(data.real, wavelet, level, start_level, axes) imag = swtn(data.imag, wavelet, level, start_level, axes) cplx = [] for rdict, idict in zip(real, imag): cplx.append( dict((k, rdict[k] + 1j * idict[k]) for k in rdict.keys())) return cplx if data.dtype == np.dtype('object'): raise TypeError("Input must be a numeric array-like") if data.ndim < 1: raise ValueError("Input data must be at least 1D") if axes is None: axes = range(data.ndim) axes = [a + data.ndim if a < 0 else a for a in axes] if len(axes) != len(set(axes)): raise ValueError("The axes passed to swtn must be unique.") num_axes = len(axes) if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) ret = [] for i in range(start_level, start_level + level): coeffs = [('', data)] for axis in axes: new_coeffs = [] for subband, x in coeffs: cA, cD = _swt_axis(x, wavelet, level=1, start_level=i, axis=axis)[0] new_coeffs.extend([(subband + 'a', cA), (subband + 'd', cD)]) coeffs = new_coeffs coeffs = dict(coeffs) ret.append(coeffs) # data for the next level is the approximation coeffs from this level data = coeffs['a' * num_axes] ret.reverse() return ret PyWavelets-0.5.1/pywt/_thresholding.py0000755€>SK[€>P0000000676213017375740022011 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """ The thresholding helper module implements the most popular signal thresholding functions. """ from __future__ import division, print_function, absolute_import __all__ = ['threshold'] import numpy as np def soft(data, value, substitute=0): data = np.asarray(data) magnitude = np.absolute(data) sign = np.sign(data) thresholded = (magnitude - value).clip(0) * sign cond = np.less(magnitude, value) return np.where(cond, substitute, thresholded) def hard(data, value, substitute=0): data = np.asarray(data) cond = np.less(np.absolute(data), value) return np.where(cond, substitute, data) def greater(data, value, substitute=0): data = np.asarray(data) return np.where(np.less(data, value), substitute, data) def less(data, value, substitute=0): data = np.asarray(data) return np.where(np.greater(data, value), substitute, data) thresholding_options = {'soft': soft, 'hard': hard, 'greater': greater, 'less': less} def threshold(data, value, mode='soft', substitute=0): """ Thresholds the input data depending on the mode argument. In ``soft`` thresholding, the data values where their absolute value is less than the value param are replaced with substitute. From the data values with absolute value greater or equal to the thresholding value, a quantity of ``(signum * value)`` is subtracted. In ``hard`` thresholding, the data values where their absolute value is less than the value param are replaced with substitute. Data values with absolute value greater or equal to the thresholding value stay untouched. In ``greater`` thresholding, the data is replaced with substitute where data is below the thresholding value. Greater data values pass untouched. In ``less`` thresholding, the data is replaced with substitute where data is above the thresholding value. Less data values pass untouched. Parameters ---------- data : array_like Numeric data. value : scalar Thresholding value. mode : {'soft', 'hard', 'greater', 'less'} Decides the type of thresholding to be applied on input data. Default is 'soft'. substitute : float, optional Substitute value (default: 0). Returns ------- output : array Thresholded array. Examples -------- >>> import numpy as np >>> import pywt >>> data = np.linspace(1, 4, 7) >>> data array([ 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. ]) >>> pywt.threshold(data, 2, 'soft') array([ 0. , 0. , 0. , 0.5, 1. , 1.5, 2. ]) >>> pywt.threshold(data, 2, 'hard') array([ 0. , 0. , 2. , 2.5, 3. , 3.5, 4. ]) >>> pywt.threshold(data, 2, 'greater') array([ 0. , 0. , 2. , 2.5, 3. , 3.5, 4. ]) >>> pywt.threshold(data, 2, 'less') array([ 1. , 1.5, 2. , 0. , 0. , 0. , 0. ]) """ try: return thresholding_options[mode](data, value, substitute) except KeyError: # Make sure error is always identical by sorting keys keys = ("'{0}'".format(key) for key in sorted(thresholding_options.keys())) raise ValueError("The mode parameter only takes values from: {0}." .format(', '.join(keys))) PyWavelets-0.5.1/pywt/_wavelet_packets.py0000755€>SK[€>P0000005720413017375740022475 0ustar lee8rxdomain^users00000000000000# Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """1D and 2D Wavelet packet transform module.""" from __future__ import division, print_function, absolute_import __all__ = ["BaseNode", "Node", "WaveletPacket", "Node2D", "WaveletPacket2D"] import numpy as np from ._extensions._pywt import Wavelet from ._dwt import dwt, idwt, dwt_max_level from ._multidim import dwt2, idwt2 def get_graycode_order(level, x='a', y='d'): graycode_order = [x, y] for i in range(level - 1): graycode_order = [x + path for path in graycode_order] + \ [y + path for path in graycode_order[::-1]] return graycode_order class BaseNode(object): """ BaseNode for wavelet packet 1D and 2D tree nodes. The BaseNode is a base class for `Node` and `Node2D`. It should not be used directly unless creating a new transformation type. It is included here to document the common interface of 1D and 2D node and wavelet packet transform classes. Parameters ---------- parent : Parent node. If parent is None then the node is considered detached (ie root). data : 1D or 2D array Data associated with the node. 1D or 2D numeric array, depending on the transform type. node_name : A name identifying the coefficients type. See `Node.node_name` and `Node2D.node_name` for information on the accepted subnodes names. """ # PART_LEN and PARTS attributes that define path tokens for node[] lookup # must be defined in subclasses. PART_LEN = None PARTS = None def __init__(self, parent, data, node_name): self.parent = parent if parent is not None: self.wavelet = parent.wavelet self.mode = parent.mode self.level = parent.level + 1 self._maxlevel = parent.maxlevel self.path = parent.path + node_name else: self.wavelet = None self.mode = None self.path = "" self.level = 0 # data - signal on level 0, coeffs on higher levels self.data = data self._init_subnodes() def _init_subnodes(self): for part in self.PARTS: self._set_node(part, None) def _create_subnode(self, part, data=None, overwrite=True): raise NotImplementedError() def _create_subnode_base(self, node_cls, part, data=None, overwrite=True): self._validate_node_name(part) if not overwrite and self._get_node(part) is not None: return self._get_node(part) node = node_cls(self, data, part) self._set_node(part, node) return node def _get_node(self, part): return getattr(self, part) def _set_node(self, part, node): setattr(self, part, node) def _delete_node(self, part): self._set_node(part, None) def _validate_node_name(self, part): if part not in self.PARTS: raise ValueError("Subnode name must be in [%s], not '%s'." % (', '.join("'%s'" % p for p in self.PARTS), part)) def _evaluate_maxlevel(self, evaluate_from='parent'): """ Try to find the value of maximum decomposition level if it is not specified explicitly. Parameters ---------- evaluate_from : {'parent', 'subnodes'} """ assert evaluate_from in ('parent', 'subnodes') if self._maxlevel is not None: return self._maxlevel elif self.data is not None: return self.level + dwt_max_level( min(self.data.shape), self.wavelet) if evaluate_from == 'parent': if self.parent is not None: return self.parent._evaluate_maxlevel(evaluate_from) elif evaluate_from == 'subnodes': for node_name in self.PARTS: node = getattr(self, node_name, None) if node is not None: level = node._evaluate_maxlevel(evaluate_from) if level is not None: return level return None @property def maxlevel(self): if self._maxlevel is not None: return self._maxlevel # Try getting the maxlevel from parents first self._maxlevel = self._evaluate_maxlevel(evaluate_from='parent') # If not found, check whether it can be evaluated from subnodes if self._maxlevel is None: self._maxlevel = self._evaluate_maxlevel(evaluate_from='subnodes') return self._maxlevel @property def node_name(self): return self.path[-self.PART_LEN:] def decompose(self): """ Decompose node data creating DWT coefficients subnodes. Performs Discrete Wavelet Transform on the `~BaseNode.data` and returns transform coefficients. Note ---- Descends to subnodes and recursively calls `~BaseNode.reconstruct` on them. """ if self.level < self.maxlevel: return self._decompose() else: raise ValueError("Maximum decomposition level reached.") def _decompose(self): raise NotImplementedError() def reconstruct(self, update=False): """ Reconstruct node from subnodes. Parameters ---------- update : bool, optional If True, then reconstructed data replaces the current node data (default: False). Returns: - original node data if subnodes do not exist - IDWT of subnodes otherwise. """ if not self.has_any_subnode: return self.data return self._reconstruct(update) def _reconstruct(self): raise NotImplementedError() # override this in subclasses def get_subnode(self, part, decompose=True): """ Returns subnode or None (see `decomposition` flag description). Parameters ---------- part : Subnode name decompose : bool, optional If the param is True and corresponding subnode does not exist, the subnode will be created using coefficients from the DWT decomposition of the current node. (default: True) """ self._validate_node_name(part) subnode = self._get_node(part) if subnode is None and decompose and not self.is_empty: self.decompose() subnode = self._get_node(part) return subnode def __getitem__(self, path): """ Find node represented by the given path. Similar to `~BaseNode.get_subnode` method with `decompose=True`, but can access nodes on any level in the decomposition tree. Parameters ---------- path : str String composed of node names. See `Node.node_name` and `Node2D.node_name` for node naming convention. Notes ----- If node does not exist yet, it will be created by decomposition of its parent node. """ if isinstance(path, str): if (self.maxlevel is not None and len(path) > self.maxlevel * self.PART_LEN): raise IndexError("Path length is out of range.") if path: return self.get_subnode(path[0:self.PART_LEN], True)[ path[self.PART_LEN:]] else: return self else: raise TypeError("Invalid path parameter type - expected string but" " got %s." % type(path)) def __setitem__(self, path, data): """ Set node or node's data in the decomposition tree. Nodes are identified by string `path`. Parameters ---------- path : str String composed of node names. data : array or BaseNode subclass. """ if isinstance(path, str): if ( self.maxlevel is not None and len(self.path) + len(path) > self.maxlevel * self.PART_LEN ): raise IndexError("Path length out of range.") if path: subnode = self.get_subnode(path[0:self.PART_LEN], False) if subnode is None: self._create_subnode(path[0:self.PART_LEN], None) subnode = self.get_subnode(path[0:self.PART_LEN], False) subnode[path[self.PART_LEN:]] = data else: if isinstance(data, BaseNode): self.data = np.asarray(data.data, dtype=np.float64) else: self.data = np.asarray(data, dtype=np.float64) else: raise TypeError("Invalid path parameter type - expected string but" " got %s." % type(path)) def __delitem__(self, path): """ Remove node from the tree. Parameters ---------- path : str String composed of node names. """ node = self[path] # don't clear node value and subnodes (node may still exist outside # the tree) # # node._init_subnodes() # # node.data = None parent = node.parent node.parent = None # TODO if parent and node.node_name: parent._delete_node(node.node_name) def is_empty(self): return self.data is None is_empty = property(is_empty) def has_any_subnode(self): for part in self.PARTS: if self._get_node(part) is not None: # and not .is_empty return True return False has_any_subnode = property(has_any_subnode) def get_leaf_nodes(self, decompose=False): """ Returns leaf nodes. Parameters ---------- decompose : bool, optional (default: True) """ result = [] def collect(node): if node.level == node.maxlevel and not node.is_empty: result.append(node) return False if not decompose and not node.has_any_subnode: result.append(node) return False return True self.walk(collect, decompose=decompose) return result def walk(self, func, args=(), kwargs=None, decompose=True): """ Traverses the decomposition tree and calls ``func(node, *args, **kwargs)`` on every node. If `func` returns True, descending to subnodes will continue. Parameters ---------- func : callable Callable accepting `BaseNode` as the first param and optional positional and keyword arguments args : func params kwargs : func keyword params decompose : bool, optional If True (default), the method will also try to decompose the tree up to the `maximum level `. """ if kwargs is None: kwargs = {} if func(self, *args, **kwargs) and self.level < self.maxlevel: for part in self.PARTS: subnode = self.get_subnode(part, decompose) if subnode is not None: subnode.walk(func, args, kwargs, decompose) def walk_depth(self, func, args=(), kwargs=None, decompose=True): """ Walk tree and call func on every node starting from the bottom-most nodes. Parameters ---------- func : callable Callable accepting :class:`BaseNode` as the first param and optional positional and keyword arguments args : func params kwargs : func keyword params decompose : bool, optional (default: False) """ if kwargs is None: kwargs = {} if self.level < self.maxlevel: for part in self.PARTS: subnode = self.get_subnode(part, decompose) if subnode is not None: subnode.walk_depth(func, args, kwargs, decompose) func(self, *args, **kwargs) def __str__(self): return self.path + ": " + str(self.data) class Node(BaseNode): """ WaveletPacket tree node. Subnodes are called `a` and `d`, just like approximation and detail coefficients in the Discrete Wavelet Transform. """ A = 'a' D = 'd' PARTS = A, D PART_LEN = 1 def _create_subnode(self, part, data=None, overwrite=True): return self._create_subnode_base(node_cls=Node, part=part, data=data, overwrite=overwrite) def _decompose(self): """ See also -------- dwt : for 1D Discrete Wavelet Transform output coefficients. """ if self.is_empty: data_a, data_d = None, None if self._get_node(self.A) is None: self._create_subnode(self.A, data_a) if self._get_node(self.D) is None: self._create_subnode(self.D, data_d) else: data_a, data_d = dwt(self.data, self.wavelet, self.mode) self._create_subnode(self.A, data_a) self._create_subnode(self.D, data_d) return self._get_node(self.A), self._get_node(self.D) def _reconstruct(self, update): data_a, data_d = None, None node_a, node_d = self._get_node(self.A), self._get_node(self.D) if node_a is not None: data_a = node_a.reconstruct() # TODO: (update) ??? if node_d is not None: data_d = node_d.reconstruct() # TODO: (update) ??? if data_a is None and data_d is None: raise ValueError("Node is a leaf node and cannot be reconstructed" " from subnodes.") else: rec = idwt(data_a, data_d, self.wavelet, self.mode) if update: self.data = rec return rec class Node2D(BaseNode): """ WaveletPacket tree node. Subnodes are called 'a' (LL), 'h' (HL), 'v' (LH) and 'd' (HH), like approximation and detail coefficients in the 2D Discrete Wavelet Transform """ LL = 'a' HL = 'h' LH = 'v' HH = 'd' PARTS = LL, HL, LH, HH PART_LEN = 1 def _create_subnode(self, part, data=None, overwrite=True): return self._create_subnode_base(node_cls=Node2D, part=part, data=data, overwrite=overwrite) def _decompose(self): """ See also -------- dwt2 : for 2D Discrete Wavelet Transform output coefficients. """ if self.is_empty: data_ll, data_lh, data_hl, data_hh = None, None, None, None else: data_ll, (data_hl, data_lh, data_hh) =\ dwt2(self.data, self.wavelet, self.mode) self._create_subnode(self.LL, data_ll) self._create_subnode(self.LH, data_lh) self._create_subnode(self.HL, data_hl) self._create_subnode(self.HH, data_hh) return (self._get_node(self.LL), self._get_node(self.HL), self._get_node(self.LH), self._get_node(self.HH)) def _reconstruct(self, update): data_ll, data_lh, data_hl, data_hh = None, None, None, None node_ll, node_lh, node_hl, node_hh =\ self._get_node(self.LL), self._get_node(self.LH),\ self._get_node(self.HL), self._get_node(self.HH) if node_ll is not None: data_ll = node_ll.reconstruct() if node_lh is not None: data_lh = node_lh.reconstruct() if node_hl is not None: data_hl = node_hl.reconstruct() if node_hh is not None: data_hh = node_hh.reconstruct() if (data_ll is None and data_lh is None and data_hl is None and data_hh is None): raise ValueError( "Tree is missing data - all subnodes of `%s` node " "are None. Cannot reconstruct node." % self.path ) else: coeffs = data_ll, (data_hl, data_lh, data_hh) rec = idwt2(coeffs, self.wavelet, self.mode) if update: self.data = rec return rec def expand_2d_path(self, path): expanded_paths = { self.HH: 'hh', self.HL: 'hl', self.LH: 'lh', self.LL: 'll' } return (''.join([expanded_paths[p][0] for p in path]), ''.join([expanded_paths[p][1] for p in path])) class WaveletPacket(Node): """ Data structure representing Wavelet Packet decomposition of signal. Parameters ---------- data : 1D ndarray Original data (signal) wavelet : Wavelet object or name string Wavelet used in DWT decomposition and reconstruction mode : str, optional Signal extension mode for the `dwt` and `idwt` decomposition and reconstruction functions. maxlevel : int, optional Maximum level of decomposition. If None, it will be calculated based on the `wavelet` and `data` length using `pywt.dwt_max_level`. """ def __init__(self, data, wavelet, mode='symmetric', maxlevel=None): super(WaveletPacket, self).__init__(None, data, "") if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) self.wavelet = wavelet self.mode = mode if data is not None: data = np.asarray(data, dtype=np.float64) assert data.ndim == 1 self.data_size = data.shape[0] if maxlevel is None: maxlevel = dwt_max_level(self.data_size, self.wavelet) else: self.data_size = None self._maxlevel = maxlevel def reconstruct(self, update=True): """ Reconstruct data value using coefficients from subnodes. Parameters ---------- update : bool, optional If True (default), then data values will be replaced by reconstruction values, also in subnodes. """ if self.has_any_subnode: data = super(WaveletPacket, self).reconstruct(update) if self.data_size is not None and len(data) > self.data_size: data = data[:self.data_size] if update: self.data = data return data return self.data # return original data def get_level(self, level, order="natural", decompose=True): """ Returns all nodes on the specified level. Parameters ---------- level : int Specifies decomposition `level` from which the nodes will be collected. order : {'natural', 'freq'}, optional - "natural" - left to right in tree (default) - "freq" - band ordered decompose : bool, optional If set then the method will try to decompose the data up to the specified `level` (default: True). Notes ----- If nodes at the given level are missing (i.e. the tree is partially decomposed) and the `decompose` is set to False, only existing nodes will be returned. """ assert order in ["natural", "freq"] if level > self.maxlevel: raise ValueError("The level cannot be greater than the maximum" " decomposition level value (%d)" % self.maxlevel) result = [] def collect(node): if node.level == level: result.append(node) return False return True self.walk(collect, decompose=decompose) if order == "natural": return result elif order == "freq": result = dict((node.path, node) for node in result) graycode_order = get_graycode_order(level) return [result[path] for path in graycode_order if path in result] else: raise ValueError("Invalid order name - %s." % order) class WaveletPacket2D(Node2D): """ Data structure representing 2D Wavelet Packet decomposition of signal. Parameters ---------- data : 2D ndarray Data associated with the node. wavelet : Wavelet object or name string Wavelet used in DWT decomposition and reconstruction mode : str, optional Signal extension mode for the `dwt` and `idwt` decomposition and reconstruction functions. maxlevel : int Maximum level of decomposition. If None, it will be calculated based on the `wavelet` and `data` length using `pywt.dwt_max_level`. """ def __init__(self, data, wavelet, mode='smooth', maxlevel=None): super(WaveletPacket2D, self).__init__(None, data, "") if not isinstance(wavelet, Wavelet): wavelet = Wavelet(wavelet) self.wavelet = wavelet self.mode = mode if data is not None: data = np.asarray(data, dtype=np.float64) assert data.ndim == 2 self.data_size = data.shape if maxlevel is None: maxlevel = dwt_max_level(min(self.data_size), self.wavelet) else: self.data_size = None self._maxlevel = maxlevel def reconstruct(self, update=True): """ Reconstruct data using coefficients from subnodes. Parameters ---------- update : bool, optional If True (default) then the coefficients of the current node and its subnodes will be replaced with values from reconstruction. """ if self.has_any_subnode: data = super(WaveletPacket2D, self).reconstruct(update) if self.data_size is not None and (data.shape != self.data_size): data = data[:self.data_size[0], :self.data_size[1]] if update: self.data = data return data return self.data # return original data def get_level(self, level, order="natural", decompose=True): """ Returns all nodes from specified level. Parameters ---------- level : int Decomposition `level` from which the nodes will be collected. order : {'natural', 'freq'}, optional If `natural` (default) a flat list is returned. If `freq`, a 2d structure with rows and cols sorted by corresponding dimension frequency of 2d coefficient array (adapted from 1d case). decompose : bool, optional If set then the method will try to decompose the data up to the specified `level` (default: True). """ assert order in ["natural", "freq"] if level > self.maxlevel: raise ValueError("The level cannot be greater than the maximum" " decomposition level value (%d)" % self.maxlevel) result = [] def collect(node): if node.level == level: result.append(node) return False return True self.walk(collect, decompose=decompose) if order == "freq": nodes = {} for (row_path, col_path), node in [ (self.expand_2d_path(node.path), node) for node in result ]: nodes.setdefault(row_path, {})[col_path] = node graycode_order = get_graycode_order(level, x='l', y='h') nodes = [nodes[path] for path in graycode_order if path in nodes] result = [] for row in nodes: result.append( [row[path] for path in graycode_order if path in row] ) return result PyWavelets-0.5.1/pywt/__init__.py0000755€>SK[€>P0000000202413017375740020702 0ustar lee8rxdomain^users00000000000000# flake8: noqa # Copyright (c) 2006-2012 Filip Wasilewski # Copyright (c) 2012-2016 The PyWavelets Developers # # See COPYING for license details. """ Discrete forward and inverse wavelet transform, stationary wavelet transform, wavelet packets signal decomposition and reconstruction module. """ from __future__ import division, print_function, absolute_import from ._extensions._pywt import * from ._functions import * from ._multilevel import * from ._multidim import * from ._thresholding import * from ._wavelet_packets import * from ._dwt import * from ._swt import * from ._cwt import * from . import data __all__ = [s for s in dir() if not s.startswith('_')] try: # In Python 2.x the name of the tempvar leaks out of the list # comprehension. Delete it to not make it show up in the main namespace. del s except NameError: pass from pywt.version import version as __version__ from numpy.testing import Tester test = Tester().test PyWavelets-0.5.1/README.rst0000755€>SK[€>P0000000762313017375750017270 0ustar lee8rxdomain^users00000000000000PyWavelets ========== .. contents:: What is PyWavelets ------------------ PyWavelets is a free Open Source library for wavelet transforms in Python. Wavelets are mathematical basis functions that are localized in both time and frequency. Wavelet transforms are time-frequency transforms employing wavelets. They are similar to Fourier transforms, the difference being that Fourier transforms are localized only in frequency instead of in time and frequency. The main features of PyWavelets are: * 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform) * 1D and 2D Wavelet Packet decomposition and reconstruction * Approximating wavelet and scaling functions * Over seventy `built-in wavelet filters`_ and custom wavelets supported * Single and double precision calculations * Results compatible with Matlab Wavelet Toolbox (TM) Documentation ------------- Documentation with detailed examples and links to more resources is available online at http://pywavelets.readthedocs.org. For more usage examples see the `demo`_ directory in the source package. Installation ------------ PyWavelets supports `Python`_ 2.6, 2.7 or >=3.3, and is only dependent on `Numpy`_ (supported versions are currently ``>= 1.9``). To pass all of the tests, `Matplotlib`_ is also required. Binaries for Windows and OS X (wheels) on PyPi are in the works, however currently PyWavelets has to be installed from source. To do so, a working C compiler (any common one will work) and a recent version of `Cython`_ is required. Binary packages for several Linux distributions can be found, but may be out of date. Query your Linux package manager tool for `python-pywavelets`, `python-wavelets`, `python-pywt` or a similar package name. - Install PyWavelets with ``pip install PyWavelets``. - To build and install from source, navigate to the PyWavelets source code directory and type ``python setup.py install``. The most recent *development* version can be found on GitHub at https://github.com/PyWavelets/pywt. The latest release, including source and binary packages for Windows, is available for download from the `Python Package Index`_ or on the `Releases Page`_. State of development & Contributing ----------------------------------- PyWavelets started in 2006 as an academic project for a master thesis on `Analysis and Classification of Medical Signals using Wavelet Transforms` and was maintained until 2012 by its `original developer`_. In 2013 maintenance was taken over in a `new repo `_) by a larger development team - a move supported by the original developer. The repo move doesn't mean that this is a fork - the package continues to be developed under the name "PyWavelets", and released on PyPi and Github (see `this issue `_ for the discussion where that was decided). All contributions including bug reports, bug fixes, new feature implementations and documentation improvements are welcome. Moreover, developers with an interest in PyWavelets are very welcome to join the development team! Contact ------- Use `GitHub Issues`_ or the `mailing list`_ to post your comments or questions. License ------- PyWavelets is a free Open Source software released under the MIT license. .. _built-in wavelet filters: http://wavelets.pybytes.com/ .. _Cython: http://cython.org/ .. _demo: https://github.com/PyWavelets/pywt/tree/master/demo .. _GitHub: https://github.com/PyWavelets/pywt .. _GitHub Issues: https://github.com/PyWavelets/pywt/issues .. _Numpy: http://www.numpy.org .. _original developer: http://en.ig.ma .. _Python: http://python.org/ .. _Python Package Index: http://pypi.python.org/pypi/PyWavelets/ .. _mailing list: http://groups.google.com/group/pywavelets .. _Releases Page: https://github.com/PyWavelets/pywt/releases .. _Matplotlib: http://matplotlib.org PyWavelets-0.5.1/setup.cfg0000755€>SK[€>P0000000021613017376011017400 0ustar lee8rxdomain^users00000000000000[nosetests] with-coverage = true with-doctest = true ignore-files = (?:^\.|^util) [egg_info] tag_build = tag_date = 0 tag_svn_revision = 0 PyWavelets-0.5.1/setup.py0000755€>SK[€>P0000002244713017375750017314 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python #-*- coding: utf-8 -*- import os import sys import subprocess from functools import partial from distutils.sysconfig import get_python_inc import setuptools from setuptools import setup, Extension from numpy import get_include as get_numpy_include try: from Cython.Build import cythonize USE_CYTHON = True except ImportError: USE_CYTHON = False if not os.path.exists(os.path.join('pywt', '_extensions', '_pywt.c')): msg = ("Cython must be installed when working with a development " "version of PyWavelets") raise RuntimeError(msg) MAJOR = 0 MINOR = 5 MICRO = 1 ISRELEASED = True VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO) # Return the git revision as a string def git_version(): def _minimal_ext_cmd(cmd): # construct minimal environment env = {} for k in ['SYSTEMROOT', 'PATH']: v = os.environ.get(k) if v is not None: env[k] = v # LANGUAGE is used on win32 env['LANGUAGE'] = 'C' env['LANG'] = 'C' env['LC_ALL'] = 'C' out = subprocess.Popen(cmd, stdout=subprocess.PIPE, env=env).communicate()[0] return out try: out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD']) GIT_REVISION = out.strip().decode('ascii') except OSError: GIT_REVISION = "Unknown" return GIT_REVISION def get_version_info(): # Adding the git rev number needs to be done inside # write_version_py(), otherwise the import of pywt.version messes # up the build under Python 3. FULLVERSION = VERSION if os.path.exists('.git'): GIT_REVISION = git_version() elif os.path.exists('pywt/version.py'): # must be a source distribution, use existing version file # load it as a separate module to not load pywt/__init__.py import imp version = imp.load_source('pywt.version', 'pywt/version.py') GIT_REVISION = version.git_revision else: GIT_REVISION = "Unknown" if not ISRELEASED: FULLVERSION += '.dev0+' + GIT_REVISION[:7] return FULLVERSION, GIT_REVISION def write_version_py(filename='pywt/version.py'): cnt = """ # THIS FILE IS GENERATED FROM PYWAVELETS SETUP.PY short_version = '%(version)s' version = '%(version)s' full_version = '%(full_version)s' git_revision = '%(git_revision)s' release = %(isrelease)s if not release: version = full_version """ FULLVERSION, GIT_REVISION = get_version_info() with open(filename, 'w') as a: a.write(cnt % {'version': VERSION, 'full_version': FULLVERSION, 'git_revision': GIT_REVISION, 'isrelease': str(ISRELEASED)}) # BEFORE importing distutils, remove MANIFEST. distutils doesn't properly # update it when the contents of directories change. if os.path.exists('MANIFEST'): os.remove('MANIFEST') if sys.platform == "darwin": # Don't create resource files on OS X tar. os.environ["COPY_EXTENDED_ATTRIBUTES_DISABLE"] = "true" os.environ["COPYFILE_DISABLE"] = "true" make_ext_path = partial(os.path.join, "pywt", "_extensions") sources = ["c/common.c", "c/convolution.c", "c/wt.c", "c/wavelets.c", "c/cwt.c"] sources = list(map(make_ext_path, sources)) source_templates = ["c/convolution.template.c", "c/wt.template.c", "c/cwt.template.c"] source_templates = list(map(make_ext_path, source_templates)) headers = ["c/templating.h", "c/wavelets_coeffs.h", "c/common.h", "c/convolution.h", "c/wt.h", "c/wavelets.h", "c/cwt.h"] headers = list(map(make_ext_path, headers)) header_templates = ["c/convolution.template.h", "c/wt.template.h", "c/wavelets_coeffs.template.h", "c/cwt.template.h"] header_templates = list(map(make_ext_path, header_templates)) cython_modules = ['_pywt', '_dwt', '_swt', '_cwt'] cython_sources = [('{0}.pyx' if USE_CYTHON else '{0}.c').format(module) for module in cython_modules] c_macros = [("PY_EXTENSION", None)] cython_macros = [] cythonize_opts = {} if os.environ.get("CYTHON_TRACE"): cythonize_opts['linetrace'] = True cython_macros.append(("CYTHON_TRACE_NOGIL", 1)) # By default C object files are rebuilt for every extension # C files must be built once only for coverage to work c_lib = ('c_wt',{'sources': sources, 'depends': source_templates + header_templates + headers, 'include_dirs': [make_ext_path("c"), get_python_inc()], 'macros': c_macros,}) ext_modules = [ Extension('pywt._extensions.{0}'.format(module), sources=[make_ext_path(source)], # Doesn't automatically rebuild if library changes depends=c_lib[1]['sources'] + c_lib[1]['depends'], include_dirs=[make_ext_path("c"), get_numpy_include()], define_macros=c_macros + cython_macros, libraries=[c_lib[0]],) for module, source, in zip(cython_modules, cython_sources) ] from setuptools.command.develop import develop class develop_build_clib(develop): """Ugly monkeypatching to get clib to build for development installs See coverage comment above for why we don't just let libraries be built via extensions. All this is a copy of the relevant part of `install_for_development` for current master (Sep 2016) of setuptools. Note: if you want to build in-place with ``python setup.py build_ext``, that will only work if you first do ``python setup.py build_clib``. """ def install_for_development(self): self.run_command('egg_info') # Build extensions in-place (the next 7 lines are the monkeypatch) import glob hitlist = glob.glob(os.path.join('build', '*', 'libc_wt.*')) if hitlist: # Remove existing clib - running build_clib twice in a row fails os.remove(hitlist[0]) self.reinitialize_command('build_clib', inplace=1) self.run_command('build_clib') self.reinitialize_command('build_ext', inplace=1) self.run_command('build_ext') self.install_site_py() # ensure that target dir is site-safe if setuptools.bootstrap_install_from: self.easy_install(setuptools.bootstrap_install_from) setuptools.bootstrap_install_from = None # create an .egg-link in the installation dir, pointing to our egg from distutils import log log.info("Creating %s (link to %s)", self.egg_link, self.egg_base) if not self.dry_run: with open(self.egg_link, "w") as f: f.write(self.egg_path + "\n" + self.setup_path) # postprocess the installed distro, fixing up .pth, installing scripts, # and handling requirements self.process_distribution(None, self.dist, not self.no_deps) if __name__ == '__main__': # Rewrite the version file everytime write_version_py() if USE_CYTHON: ext_modules = cythonize(ext_modules, compiler_directives=cythonize_opts) setup( name="PyWavelets", maintainer="The PyWavelets Developers", maintainer_email="http://groups.google.com/group/pywavelets", url="https://github.com/PyWavelets/pywt", download_url="https://github.com/PyWavelets/pywt/releases", license="MIT", description="PyWavelets, wavelet transform module", long_description="""\ PyWavelets is a Python wavelet transforms module that includes: * nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform) * 1D and 2D Wavelet Packet decomposition and reconstruction * 1D Continuous Wavelet Tranfsorm * Computing Approximations of wavelet and scaling functions * Over 100 built-in wavelet filters and support for custom wavelets * Single and double precision calculations * Results compatibility with Matlab Wavelet Toolbox (tm) """, keywords=["wavelets", "wavelet transform", "DWT", "SWT", "CWT", "scientific"], classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: C", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Software Development :: Libraries :: Python Modules" ], platforms=["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"], version=get_version_info()[0], packages=['pywt', 'pywt._extensions', 'pywt.data'], package_data={'pywt.data': ['*.npy', '*.npz']}, ext_modules=ext_modules, libraries=[c_lib], cmdclass={'develop': develop_build_clib}, test_suite='nose.collector', # A function is imported in setup.py, so not really useful install_requires=["numpy"], ) PyWavelets-0.5.1/THANKS.txt0000755€>SK[€>P0000000020113017375740017312 0ustar lee8rxdomain^users00000000000000A special thanks goes to: * Fernando Perez and people behind scipy.org for help with wavelets.scipy.org wiki and SVN hosting PyWavelets-0.5.1/tox.ini0000755€>SK[€>P0000000242213017375741017104 0ustar lee8rxdomain^users00000000000000# Tox (http://tox.testrun.org/) is a tool for running tests # in multiple virtualenvs. This configuration file will run the # test suite on all supported python versions. To use it, "pip install tox" # and then run "tox" from this directory. # Running the command 'tox' while in the root of the pywt source # directory will: # - Create a pywt source distribution (setup.py sdist) # - Then for every supported version of Python: # - Create a virtualenv in {homedir}/.tox/pywt/py$VERSION and # install dependencies. (These virtualenvs are cached across # runs unless you use --recreate.) # - Use pip to install the pywt sdist into the virtualenv # - Run the pywt tests # To run against a specific subset of Python versions, use: # tox -e py26,py27 # Tox assumes that you have appropriate Python interpreters already # installed and that they can be run as 'python2.6', 'python2.7', etc. [tox] toxworkdir = {homedir}/.tox/pywt/ envlist = py26, py27, py33, py34, py35 [testenv] deps = flake8 nose coverage cython numpy matplotlib changedir = {envdir} commands = nosetests --tests {toxinidir}/pywt/tests # flake8 --exit-zero pywt [pep8] max_line_length = 79 statistics = True ignore = E121,E122,E123,E125,E126,E127,E128,E226,E231,E501,E712 PyWavelets-0.5.1/util/0000755€>SK[€>P0000000000013017376011016532 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/util/appveyor/0000755€>SK[€>P0000000000013017376011020377 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/util/appveyor/build.cmd0000755€>SK[€>P0000000145013017375741022177 0ustar lee8rxdomain^users00000000000000@echo off :: To build extensions for 64 bit Python 3, we need to configure environment :: variables to use the MSVC 2010 C++ compilers from GRMSDKX_EN_DVD.iso of: :: MS Windows SDK for Windows 7 and .NET Framework 4 :: :: More details at: :: https://packaging.python.org/appveyor/ IF "%DISTUTILS_USE_SDK%"=="1" ( ECHO Configuring environment to build with MSVC on a 64bit architecture ECHO Using Windows SDK 7.1 "C:\Program Files\Microsoft SDKs\Windows\v7.1\Setup\WindowsSdkVer.exe" -q -version:v7.1 CALL "C:\Program Files\Microsoft SDKs\Windows\v7.1\Bin\SetEnv.cmd" /x64 /release SET MSSdk=1 REM Need the following to allow tox to see the SDK compiler SET TOX_TESTENV_PASSENV=DISTUTILS_USE_SDK MSSdk INCLUDE LIB ) ELSE ( ECHO Using default MSVC build environment ) CALL %* PyWavelets-0.5.1/util/authors.py0000755€>SK[€>P0000001375413017375741020617 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- encoding:utf-8 -*- """ git-authors [OPTIONS] REV1..REV2 List the authors who contributed within a given revision interval. """ # Author: Pauli Virtanen . This script is in the public domain. from __future__ import division, print_function, absolute_import import optparse import re import sys import os import subprocess from scipy._lib.six import u, PY3 if PY3: stdout_b = sys.stdout.buffer else: stdout_b = sys.stdout NAME_MAP = { u('Gregory Lee'): u('Gregory R. Lee'), u('Daniel M Pelt'): u('Daniel M. Pelt'), u('Helder'): u('Helder Oliveira'), u('Kai'): u('Kai Wohlfahrt'), u('asnt'): u('Alexandre Saint'), } def main(): p = optparse.OptionParser(__doc__.strip()) p.add_option("-d", "--debug", action="store_true", help="print debug output") options, args = p.parse_args() if len(args) != 1: p.error("invalid number of arguments") try: rev1, rev2 = args[0].split('..') except ValueError: p.error("argument is not a revision range") # Analyze log data all_authors = set() authors = set() def analyze_line(line, names, disp=False): line = line.strip().decode('utf-8') # Check the commit author name m = re.match(u('^@@@([^@]*)@@@'), line) if m: name = m.group(1) line = line[m.end():] name = NAME_MAP.get(name, name) if disp: if name not in names: stdout_b.write((" - Author: %s\n" % name).encode('utf-8')) names.add(name) # Look for "thanks to" messages in the commit log m = re.search(u(r'([Tt]hanks to|[Cc]ourtesy of) ([A-Z][A-Za-z]*? [A-Z][A-Za-z]*? [A-Z][A-Za-z]*|[A-Z][A-Za-z]*? [A-Z]\. [A-Z][A-Za-z]*|[A-Z][A-Za-z ]*? [A-Z][A-Za-z]*|[a-z0-9]+)($|\.| )'), line) if m: name = m.group(2) if name not in (u('this'),): if disp: stdout_b.write(" - Log : %s\n" % line.strip().encode('utf-8')) name = NAME_MAP.get(name, name) names.add(name) line = line[m.end():].strip() line = re.sub(u(r'^(and|, and|, ) '), u('Thanks to '), line) analyze_line(line.encode('utf-8'), names) # Find all authors before the named range for line in git.pipe('log', '--pretty=@@@%an@@@%n@@@%cn@@@%n%b', '%s' % (rev1,)): analyze_line(line, all_authors) # Find authors in the named range for line in git.pipe('log', '--pretty=@@@%an@@@%n@@@%cn@@@%n%b', '%s..%s' % (rev1, rev2)): analyze_line(line, authors, disp=options.debug) # Sort def name_key(fullname): m = re.search(u(' [a-z ]*[A-Za-z-\']+$'), fullname) if m: forename = fullname[:m.start()].strip() surname = fullname[m.start():].strip() else: forename = "" surname = fullname.strip() surname = surname.replace('\'', '') if surname.startswith(u('van der ')): surname = surname[8:] if surname.startswith(u('de ')): surname = surname[3:] if surname.startswith(u('von ')): surname = surname[4:] return (surname.lower(), forename.lower()) authors = list(authors) authors.sort(key=name_key) # Print stdout_b.write(b""" Authors ======= """) for author in authors: if author in all_authors: stdout_b.write(("* %s\n" % author).encode('utf-8')) else: stdout_b.write(("* %s +\n" % author).encode('utf-8')) stdout_b.write((""" A total of %(count)d people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. """ % dict(count=len(authors))).encode('utf-8')) stdout_b.write(("\nNOTE: Check this list manually! It is automatically generated " "and some names\n may be missing.\n").encode('utf-8')) #------------------------------------------------------------------------------ # Communicating with Git #------------------------------------------------------------------------------ class Cmd(object): executable = None def __init__(self, executable): self.executable = executable def _call(self, command, args, kw, repository=None, call=False): cmd = [self.executable, command] + list(args) cwd = None if repository is not None: cwd = os.getcwd() os.chdir(repository) try: if call: return subprocess.call(cmd, **kw) else: return subprocess.Popen(cmd, **kw) finally: if cwd is not None: os.chdir(cwd) def __call__(self, command, *a, **kw): ret = self._call(command, a, {}, call=True, **kw) if ret != 0: raise RuntimeError("%s failed" % self.executable) def pipe(self, command, *a, **kw): stdin = kw.pop('stdin', None) p = self._call(command, a, dict(stdin=stdin, stdout=subprocess.PIPE), call=False, **kw) return p.stdout def read(self, command, *a, **kw): p = self._call(command, a, dict(stdout=subprocess.PIPE), call=False, **kw) out, err = p.communicate() if p.returncode != 0: raise RuntimeError("%s failed" % self.executable) return out def readlines(self, command, *a, **kw): out = self.read(command, *a, **kw) return out.rstrip("\n").split("\n") def test(self, command, *a, **kw): ret = self._call(command, a, dict(stdout=subprocess.PIPE, stderr=subprocess.PIPE), call=True, **kw) return (ret == 0) git = Cmd("git") #------------------------------------------------------------------------------ if __name__ == "__main__": main() PyWavelets-0.5.1/util/gh_lists.py0000755€>SK[€>P0000001014313017375741020733 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python # -*- encoding:utf-8 -*- """ gh_lists.py MILESTONE Functions for Github API requests. """ from __future__ import print_function, division, absolute_import import os import re import sys import json import collections import argparse from urllib2 import urlopen Issue = collections.namedtuple('Issue', ('id', 'title', 'url')) def main(): p = argparse.ArgumentParser(usage=__doc__.lstrip()) p.add_argument('--project', default='PyWavelets/pywt') p.add_argument('milestone') args = p.parse_args() getter = CachedGet('gh_cache.json') try: milestones = get_milestones(getter, args.project) if args.milestone not in milestones: msg = "Milestone {0} not available. Available milestones: {1}" msg = msg.format(args.milestone, u", ".join(sorted(milestones))) p.error(msg) issues = get_issues(getter, args.project, args.milestone) issues.sort() finally: getter.save() prs = [x for x in issues if u'/pull/' in x.url] issues = [x for x in issues if x not in prs] def print_list(title, items): print() print(title) print("-"*len(title)) print() for issue in items: msg = u"- `#{0} <{1}>`__: {2}" title = re.sub(u"\s+", u" ", issue.title.strip()) if len(title) > 60: remainder = re.sub(u"\s.*$", u"...", title[60:]) if len(remainder) > 20: remainder = title[:80] + u"..." else: title = title[:60] + remainder msg = msg.format(issue.id, issue.url, title) print(msg) print() msg = u"Issues closed for {0}".format(args.milestone) print_list(msg, issues) msg = u"Pull requests for {0}".format(args.milestone) print_list(msg, prs) return 0 def get_milestones(getter, project): url = "https://api.github.com/repos/{project}/milestones".format(project=project) raw_data, info = getter.get(url) data = json.loads(raw_data) milestones = {} for ms in data: milestones[ms[u'title']] = ms[u'number'] return milestones def get_issues(getter, project, milestone): milestones = get_milestones(getter, project) mid = milestones[milestone] url = "https://api.github.com/repos/{project}/issues?milestone={mid}&state=closed&sort=created&direction=asc" url = url.format(project=project, mid=mid) raw_datas = [] while True: raw_data, info = getter.get(url) raw_datas.append(raw_data) if 'link' not in info: break m = re.search('<(.*?)>; rel="next"', info['link']) if m: url = m.group(1) continue break issues = [] for raw_data in raw_datas: data = json.loads(raw_data) for issue_data in data: issues.append(Issue(issue_data[u'number'], issue_data[u'title'], issue_data[u'html_url'])) return issues class CachedGet(object): def __init__(self, filename): self.filename = filename if os.path.isfile(filename): print("[gh_lists] using {0} as cache (remove it if you want fresh data)".format(filename), file=sys.stderr) with open(filename, 'rb') as f: self.cache = json.load(f) else: self.cache = {} def get(self, url): url = unicode(url) if url not in self.cache: print("[gh_lists] get:", url, file=sys.stderr) req = urlopen(url) if req.getcode() != 200: raise RuntimeError() data = req.read() info = dict(req.info()) self.cache[url] = (data, info) req.close() else: print("[gh_lists] get (cached):", url, file=sys.stderr) return self.cache[url] def save(self): tmp = self.filename + ".new" with open(tmp, 'wb') as f: json.dump(self.cache, f) os.rename(tmp, self.filename) if __name__ == "__main__": sys.exit(main()) PyWavelets-0.5.1/util/readthedocs/0000755€>SK[€>P0000000000013017376011021017 5ustar lee8rxdomain^users00000000000000PyWavelets-0.5.1/util/readthedocs/requirements.txt0000755€>SK[€>P0000000117613017375741024324 0ustar lee8rxdomain^users00000000000000# Fetch a numpy wheel from the sklearn rackspace wheelhouse. # That wheel was generated by @ogrisel by calling `wheel convert` on # the binaries from http://www.lfd.uci.edu/~gohlke/pythonlibs/ # This is a temporary solution. As soon as numpy provides an official # wheel for windows we ca delete this --find-links line. --find-links http://28daf2247a33ed269873-7b1aad3fab3cc330e1fd9d109892382a.r6.cf2.rackcdn.com # fix the versions of numpy to force the use of numpy to use the whl # of the rackspace folder instead of trying to install from more recent # source tarball published on PyPI numpy==1.8.1 Cython==0.20.2 nose wheel numpydoc PyWavelets-0.5.1/util/refguide_check.py0000755€>SK[€>P0000006465313017375741022065 0ustar lee8rxdomain^users00000000000000#!/usr/bin/env python """ refguide_check.py [OPTIONS] [-- ARGS] Check for a PyWavelets submodule whether the objects in its __all__ dict correspond to the objects included in the reference guide. Example of usage:: $ python refguide_check.py optimize Note that this is a helper script to be able to check if things are missing; the output of this script does need to be checked manually. In some cases objects are left out of the refguide for a good reason (it's an alias of another function, or deprecated, or ...) Another use of this helper script is to check validity of code samples in docstrings. This is different from doctesting [we do not aim to have scipy docstrings doctestable!], this is just to make sure that code in docstrings is valid python:: $ python refguide_check.py --check_docs optimize """ from __future__ import print_function import sys import os import re import copy import inspect import warnings import doctest import tempfile import io import docutils.core from docutils.parsers.rst import directives import shutil import glob from doctest import NORMALIZE_WHITESPACE, ELLIPSIS, IGNORE_EXCEPTION_DETAIL from argparse import ArgumentParser import numpy as np # sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'doc', # 'sphinxext')) from numpydoc.docscrape_sphinx import get_doc_object # Remove sphinx directives that don't run without Sphinx environment directives._directives.pop('versionadded', None) directives._directives.pop('versionchanged', None) directives._directives.pop('moduleauthor', None) directives._directives.pop('sectionauthor', None) directives._directives.pop('codeauthor', None) directives._directives.pop('toctree', None) BASE_MODULE = "pywt" PUBLIC_SUBMODULES = [] # Docs for these modules are included in the parent module OTHER_MODULE_DOCS = {} # these names are known to fail doctesting and we like to keep it that way # e.g. sometimes pseudocode is acceptable etc DOCTEST_SKIPLIST = set([]) # these names are not required to be present in ALL despite being in # autosummary:: listing REFGUIDE_ALL_SKIPLIST = [] HAVE_MATPLOTLIB = False def short_path(path, cwd=None): """ Return relative or absolute path name, whichever is shortest. """ if not isinstance(path, str): return path if cwd is None: cwd = os.getcwd() abspath = os.path.abspath(path) relpath = os.path.relpath(path, cwd) if len(abspath) <= len(relpath): return abspath return relpath def find_names(module, names_dict): # Refguide entries: # # - 3 spaces followed by function name, and maybe some spaces, some # dashes, and an explanation; only function names listed in # refguide are formatted like this (mostly, there may be some false # positives) # # - special directives, such as data and function # # - (scipy.constants only): quoted list # patterns = [ r"^\s\s\s([a-z_0-9A-Z]+)(\s+-+.*)?$", r"^\.\. (?:data|function)::\s*([a-z_0-9A-Z]+)\s*$" ] if module.__name__ == 'scipy.constants': patterns += ["^``([a-z_0-9A-Z]+)``"] patterns = [re.compile(pattern) for pattern in patterns] module_name = module.__name__ for line in module.__doc__.splitlines(): res = re.search(r"^\s*\.\. (?:currentmodule|module):: ([a-z0-9A-Z_.]+)\s*$", line) if res: module_name = res.group(1) continue for pattern in patterns: res = re.match(pattern, line) if res is not None: name = res.group(1) entry = '.'.join([module_name, name]) names_dict.setdefault(module_name, set()).add(name) break def get_all_dict(module): """Return a copy of the __all__ dict with irrelevant items removed.""" if hasattr(module, "__all__"): all_dict = copy.deepcopy(module.__all__) else: all_dict = copy.deepcopy(dir(module)) all_dict = [name for name in all_dict if not name.startswith("_")] for name in ['absolute_import', 'division', 'print_function']: try: all_dict.remove(name) except ValueError: pass # Modules are almost always private; real submodules need a separate # run of refguide_check. all_dict = [name for name in all_dict if not inspect.ismodule(getattr(module, name, None))] deprecated = [] not_deprecated = [] for name in all_dict: f = getattr(module, name, None) if callable(f) and is_deprecated(f): deprecated.append(name) else: not_deprecated.append(name) others = set(dir(module)).difference(set(deprecated)).difference(set(not_deprecated)) return not_deprecated, deprecated, others def compare(all_dict, others, names, module_name): """Return sets of objects only in __all__, refguide, or completely missing.""" only_all = set() for name in all_dict: if name not in names: only_all.add(name) only_ref = set() missing = set() for name in names: if name not in all_dict: for pat in REFGUIDE_ALL_SKIPLIST: if re.match(pat, module_name + '.' + name): if name not in others: missing.add(name) break else: only_ref.add(name) return only_all, only_ref, missing def is_deprecated(f): with warnings.catch_warnings(record=True) as w: warnings.simplefilter("error") try: f(**{"not a kwarg": None}) except DeprecationWarning: return True except: pass return False def check_items(all_dict, names, deprecated, others, module_name, dots=True): num_all = len(all_dict) num_ref = len(names) output = "" output += "Non-deprecated objects in __all__: %i\n" % num_all output += "Objects in refguide: %i\n\n" % num_ref only_all, only_ref, missing = compare(all_dict, others, names, module_name) dep_in_ref = set(only_ref).intersection(deprecated) only_ref = set(only_ref).difference(deprecated) if len(dep_in_ref) > 0: output += "Deprecated objects in refguide::\n\n" for name in sorted(deprecated): output += " " + name + "\n" if len(only_all) == len(only_ref) == len(missing) == 0: if dots: output_dot('.') return [(None, True, output)] else: if len(only_all) > 0: output += "ERROR: objects in %s.__all__ but not in refguide::\n\n" % module_name for name in sorted(only_all): output += " " + name + "\n" if len(only_ref) > 0: output += "ERROR: objects in refguide but not in %s.__all__::\n\n" % module_name for name in sorted(only_ref): output += " " + name + "\n" if len(missing) > 0: output += "ERROR: missing objects::\n\n" for name in sorted(missing): output += " " + name + "\n" if dots: output_dot('F') return [(None, False, output)] def validate_rst_syntax(text, name, dots=True): if text is None: if dots: output_dot('E') return False, "ERROR: %s: no documentation" % (name,) ok_unknown_items = set([ 'mod', 'currentmodule', 'autosummary', 'data', 'obj', 'versionadded', 'versionchanged', 'module', 'class', 'ref', 'func', 'toctree', 'moduleauthor', 'sectionauthor', 'codeauthor', 'eq', ]) # Run through docutils error_stream = io.StringIO() def resolve(name, is_label=False): return ("http://foo", name) token = '' docutils.core.publish_doctree( text, token, settings_overrides = dict(halt_level=5, traceback=True, default_reference_context='title-reference', default_role='emphasis', link_base='', resolve_name=resolve, stylesheet_path='', raw_enabled=0, file_insertion_enabled=0, warning_stream=error_stream)) # Print errors, disregarding unimportant ones error_msg = error_stream.getvalue() errors = error_msg.split(token) success = True output = "" for error in errors: lines = error.splitlines() if not lines: continue m = re.match(r'.*Unknown (?:interpreted text role|directive type) "(.*)".*$', lines[0]) if m: if m.group(1) in ok_unknown_items: continue m = re.match(r'.*Error in "math" directive:.*unknown option: "label"', " ".join(lines), re.S) if m: continue output += name + lines[0] + "::\n " + "\n ".join(lines[1:]).rstrip() + "\n" success = False if not success: output += " " + "-"*72 + "\n" for lineno, line in enumerate(text.splitlines()): output += " %-4d %s\n" % (lineno+1, line) output += " " + "-"*72 + "\n\n" if dots: output_dot('.' if success else 'F') return success, output def output_dot(msg='.', stream=sys.stderr): stream.write(msg) stream.flush() def check_rest(module, names, dots=True): """ Check reStructuredText formatting of docstrings Returns: [(name, success_flag, output), ...] """ try: skip_types = (dict, str, unicode, float, int) except NameError: # python 3 skip_types = (dict, str, float, int) results = [] if module.__name__[6:] not in OTHER_MODULE_DOCS: results += [(module.__name__,) + validate_rst_syntax(inspect.getdoc(module), module.__name__, dots=dots)] for name in names: full_name = module.__name__ + '.' + name obj = getattr(module, name, None) if obj is None: results.append((full_name, False, "%s has no docstring" % (full_name,))) continue elif isinstance(obj, skip_types): continue if inspect.ismodule(obj): text = inspect.getdoc(obj) else: try: text = str(get_doc_object(obj)) except: import traceback results.append((full_name, False, "Error in docstring format!\n" + traceback.format_exc())) continue m = re.search("([\x00-\x09\x0b-\x1f])", text) if m: msg = ("Docstring contains a non-printable character %r! " "Maybe forgot r\"\"\"?" % (m.group(1),)) results.append((full_name, False, msg)) continue try: src_file = short_path(inspect.getsourcefile(obj)) except TypeError: src_file = None if src_file: file_full_name = src_file + ':' + full_name else: file_full_name = full_name results.append((full_name,) + validate_rst_syntax(text, file_full_name, dots=dots)) return results ### Doctest helpers #### # the namespace to run examples in DEFAULT_NAMESPACE = {'np': np} # the namespace to do checks in CHECK_NAMESPACE = { 'np': np, 'assert_allclose': np.testing.assert_allclose, 'assert_equal': np.testing.assert_equal, # recognize numpy repr's 'array': np.array, 'matrix': np.matrix, 'int64': np.int64, 'uint64': np.uint64, 'int8': np.int8, 'int32': np.int32, 'float64': np.float64, 'dtype': np.dtype, 'nan': np.nan, 'NaN': np.nan, 'inf': np.inf, 'Inf': np.inf, } class DTRunner(doctest.DocTestRunner): DIVIDER = "\n" def __init__(self, item_name, checker=None, verbose=None, optionflags=0): self._item_name = item_name doctest.DocTestRunner.__init__(self, checker=checker, verbose=verbose, optionflags=optionflags) def _report_item_name(self, out, new_line=False): if self._item_name is not None: if new_line: out("\n") self._item_name = None def report_start(self, out, test, example): self._checker._source = example.source return doctest.DocTestRunner.report_start(self, out, test, example) def report_success(self, out, test, example, got): if self._verbose: self._report_item_name(out, new_line=True) return doctest.DocTestRunner.report_success( self, out, test, example, got) def report_unexpected_exception(self, out, test, example, exc_info): self._report_item_name(out) return doctest.DocTestRunner.report_unexpected_exception( self, out, test, example, exc_info) def report_failure(self, out, test, example, got): self._report_item_name(out) return doctest.DocTestRunner.report_failure(self, out, test, example, got) class Checker(doctest.OutputChecker): obj_pattern = re.compile('at 0x[0-9a-fA-F]+>') vanilla = doctest.OutputChecker() rndm_markers = {'# random', '# Random', '#random', '#Random', "# may vary"} stopwords = {'plt.', '.hist', '.show', '.ylim', '.subplot(', 'set_title', 'imshow', 'plt.show', 'ax.axis', 'plt.plot(', '.bar(', '.title', '.ylabel', '.xlabel', 'set_ylim', 'set_xlim', '# reformatted'} def __init__(self, parse_namedtuples=True, ns=None, atol=1e-8, rtol=1e-2): self.parse_namedtuples = parse_namedtuples self.atol, self.rtol = atol, rtol if ns is None: self.ns = dict(CHECK_NAMESPACE) else: self.ns = ns def check_output(self, want, got, optionflags): # cut it short if they are equal if want == got: return True # skip stopwords in source if any(word in self._source for word in self.stopwords): return True # skip random stuff if any(word in want for word in self.rndm_markers): return True # skip function/object addresses if self.obj_pattern.search(got): return True # ignore comments (e.g. signal.freqresp) if want.lstrip().startswith("#"): return True # try the standard doctest try: if self.vanilla.check_output(want, got, optionflags): return True except Exception: pass # OK then, convert strings to objects try: a_want = eval(want, dict(self.ns)) a_got = eval(got, dict(self.ns)) except: if not self.parse_namedtuples: return False # suppose that "want" is a tuple, and "got" is smth like # MoodResult(statistic=10, pvalue=0.1). # Then convert the latter to the tuple (10, 0.1), # and then compare the tuples. try: num = len(a_want) regex = ('[\w\d_]+\(' + ', '.join(['[\w\d_]+=(.+)']*num) + '\)') grp = re.findall(regex, got.replace('\n', ' ')) if len(grp) > 1: # no more than one for now return False # fold it back to a tuple got_again = '(' + ', '.join(grp[0]) + ')' return self.check_output(want, got_again, optionflags) except Exception: return False # ... and defer to numpy try: return self._do_check(a_want, a_got) except Exception: # heterog tuple, eg (1, np.array([1., 2.])) try: return all(self._do_check(w, g) for w, g in zip(a_want, a_got)) except (TypeError, ValueError): return False def _do_check(self, want, got): # This should be done exactly as written to correctly handle all of # numpy-comparable objects, strings, and heterogenous tuples try: if want == got: return True except Exception: pass return np.allclose(want, got, atol=self.atol, rtol=self.rtol) def _run_doctests(tests, full_name, verbose, doctest_warnings): """Run modified doctests for the set of `tests`. Returns: list of [(success_flag, output), ...] """ flags = NORMALIZE_WHITESPACE | ELLIPSIS | IGNORE_EXCEPTION_DETAIL runner = DTRunner(full_name, checker=Checker(), optionflags=flags, verbose=verbose) output = [] success = True def out(msg): output.append(msg) class MyStderr(object): """Redirect stderr to the current stdout""" def write(self, msg): if doctest_warnings: sys.stdout.write(msg) else: out(msg) # Run tests, trying to restore global state afterward old_printoptions = np.get_printoptions() old_errstate = np.seterr() old_stderr = sys.stderr cwd = os.getcwd() tmpdir = tempfile.mkdtemp() sys.stderr = MyStderr() try: os.chdir(tmpdir) # try to ensure random seed is NOT reproducible np.random.seed(None) for t in tests: t.filename = short_path(t.filename, cwd) fails, successes = runner.run(t, out=out) if fails > 0: success = False finally: sys.stderr = old_stderr os.chdir(cwd) shutil.rmtree(tmpdir) np.set_printoptions(**old_printoptions) np.seterr(**old_errstate) return success, output def check_doctests(module, verbose, ns=None, dots=True, doctest_warnings=False): """Check code in docstrings of the module's public symbols. Returns: list of [(item_name, success_flag, output), ...] """ if ns is None: ns = dict(DEFAULT_NAMESPACE) # Loop over non-deprecated items results = [] for name in get_all_dict(module)[0]: full_name = module.__name__ + '.' + name if full_name in DOCTEST_SKIPLIST: continue try: obj = getattr(module, name) except AttributeError: import traceback results.append((full_name, False, "Missing item!\n" + traceback.format_exc())) continue finder = doctest.DocTestFinder() try: tests = finder.find(obj, name, globs=dict(ns)) except: import traceback results.append((full_name, False, "Failed to get doctests!\n" + traceback.format_exc())) continue success, output = _run_doctests(tests, full_name, verbose, doctest_warnings) if dots: output_dot('.' if success else 'F') results.append((full_name, success, "".join(output))) if HAVE_MATPLOTLIB: import matplotlib.pyplot as plt plt.close('all') return results def check_doctests_testfile(fname, verbose, ns=None, dots=True, doctest_warnings=False): """Check code in a text file. Mimic `check_doctests` above, differing mostly in test discovery. (which is borrowed from stdlib's doctest.testfile here, https://github.com/python-git/python/blob/master/Lib/doctest.py) Returns: list of [(item_name, success_flag, output), ...] Notes ----- We also try to weed out pseudocode: * We maintain a list of exceptions which signal pseudocode, * We split the text file into "blocks" of code separated by empty lines and/or intervening text. * If a block contains a marker, the whole block is then assumed to be pseudocode. It is then not being doctested. The rationale is that typically, the text looks like this: blah >>> from numpy import some_module # pseudocode! >>> func = some_module.some_function >>> func(42) # still pseudocode 146 blah >>> 2 + 3 # real code, doctest it 5 """ results = [] if ns is None: ns = dict(DEFAULT_NAMESPACE) _, short_name = os.path.split(fname) if short_name in DOCTEST_SKIPLIST: return results full_name = fname text = open(fname).read() PSEUDOCODE = set(['some_function', 'some_module', 'import example', 'ctypes.CDLL', # likely need compiling, skip it 'integrate.nquad(func,' # ctypes integrate tutotial ]) # split the text into "blocks" and try to detect and omit pseudocode blocks. parser = doctest.DocTestParser() good_parts = [] for part in text.split('\n\n'): tests = parser.get_doctest(part, ns, fname, fname, 0) if any(word in ex.source for word in PSEUDOCODE for ex in tests.examples): # omit it pass else: # `part` looks like a good code, let's doctest it good_parts += [part] # Reassemble the good bits and doctest them: good_text = '\n\n'.join(good_parts) tests = parser.get_doctest(good_text, ns, fname, fname, 0) success, output = _run_doctests([tests], full_name, verbose, doctest_warnings) if dots: output_dot('.' if success else 'F') results.append((full_name, success, "".join(output))) if HAVE_MATPLOTLIB: import matplotlib.pyplot as plt plt.close('all') return results def init_matplotlib(): global HAVE_MATPLOTLIB try: import matplotlib matplotlib.use('Agg') HAVE_MATPLOTLIB = True except ImportError: HAVE_MATPLOTLIB = False def main(argv): parser = ArgumentParser(usage=__doc__.lstrip()) parser.add_argument("module_names", metavar="SUBMODULES", default=[], nargs='*', help="Submodules to check (default: all public)") parser.add_argument("--doctests", action="store_true", help="Run also doctests") parser.add_argument("-v", "--verbose", action="count", default=0) parser.add_argument("--doctest-warnings", action="store_true", help="Enforce warning checking for doctests") parser.add_argument("--skip-examples", action="store_true", help="Skip running doctests in the examples.") args = parser.parse_args(argv) modules = [] names_dict = {} if args.module_names: args.skip_examples = True else: args.module_names = list(PUBLIC_SUBMODULES) os.environ['SCIPY_PIL_IMAGE_VIEWER'] = 'true' module_names = list(args.module_names) for name in list(module_names): if name in OTHER_MODULE_DOCS: name = OTHER_MODULE_DOCS[name] if name not in module_names: module_names.append(name) for submodule_name in module_names: module_name = BASE_MODULE + '.' + submodule_name __import__(module_name) module = sys.modules[module_name] if submodule_name not in OTHER_MODULE_DOCS: find_names(module, names_dict) if submodule_name in args.module_names: modules.append(module) dots = True success = True results = [] print("Running checks for %d modules:" % (len(modules),)) if args.doctests or not args.skip_examples: init_matplotlib() for module in modules: if dots: if module is not modules[0]: sys.stderr.write(' ') sys.stderr.write(module.__name__ + ' ') sys.stderr.flush() all_dict, deprecated, others = get_all_dict(module) names = names_dict.get(module.__name__, set()) mod_results = [] mod_results += check_items(all_dict, names, deprecated, others, module.__name__) mod_results += check_rest(module, set(names).difference(deprecated), dots=dots) if args.doctests: mod_results += check_doctests(module, (args.verbose >= 2), dots=dots, doctest_warnings=args.doctest_warnings) for v in mod_results: assert isinstance(v, tuple), v results.append((module, mod_results)) if dots: sys.stderr.write("\n") sys.stderr.flush() if not args.skip_examples: examples_path = os.path.join( os.getcwd(), 'doc', 'source', 'regression', '*.rst') print('\nChecking examples files at %s:' % examples_path) for filename in sorted(glob.glob(examples_path)): if dots: sys.stderr.write('\n') sys.stderr.write(os.path.split(filename)[1] + ' ') sys.stderr.flush() examples_results = check_doctests_testfile( filename, (args.verbose >= 2), dots=dots, doctest_warnings=args.doctest_warnings) def scratch(): pass # stub out a "module", see below scratch.__name__ = filename results.append((scratch, examples_results)) if dots: sys.stderr.write("\n") sys.stderr.flush() # Report results all_success = True for module, mod_results in results: success = all(x[1] for x in mod_results) all_success = all_success and success if success and args.verbose == 0: continue print("") print("=" * len(module.__name__)) print(module.__name__) print("=" * len(module.__name__)) print("") for name, success, output in mod_results: if name is None: if not success or args.verbose >= 1: print(output.strip()) print("") elif not success or (args.verbose >= 2 and output.strip()): print(name) print("-"*len(name)) print("") print(output.strip()) print("") if all_success: print("\nOK: refguide and doctests checks passed!") sys.exit(0) else: print("\nERROR: refguide or doctests have errors") sys.exit(1) if __name__ == '__main__': main(argv=sys.argv[1:]) PyWavelets-0.5.1/util/setenv_build32.bat0000755€>SK[€>P0000000041213017375741022063 0ustar lee8rxdomain^users00000000000000rem Configure the environment for 32-bit builds. rem Use "vcvars32.bat" for a 32-bit build. "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin\vcvars32.bat" setenv /x86 /release rem Convince setup.py to use the SDK tools. set MSSdk=1 set DISTUTILS_USE_SDK=1 PyWavelets-0.5.1/util/setenv_build64.bat0000755€>SK[€>P0000000041213017375741022070 0ustar lee8rxdomain^users00000000000000rem Configure the environment for 64-bit builds. rem Use "vcvars32.bat" for a 32-bit build. "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin\vcvars64.bat" setenv /x64 /release rem Convince setup.py to use the SDK tools. set MSSdk=1 set DISTUTILS_USE_SDK=1 PyWavelets-0.5.1/util/__init__.py0000755€>SK[€>P0000000000013017375741020645 0ustar lee8rxdomain^users00000000000000