#!/usr/bin/env python # Created by Pearu Peterson, September 2002 from __future__ import division, print_function, absolute_import __usage__ = """ Build fftpack: python setup_fftpack.py build Run tests if scipy is installed: python -c 'import scipy;scipy.fftpack.test()' Run tests if fftpack is not installed: python tests/test_helper.py [] """ from numpy.testing import (TestCase, assert_array_almost_equal, run_module_suite, assert_equal, assert_) from scipy.fftpack import fftshift,ifftshift,fftfreq,rfftfreq from scipy.fftpack.helper import next_fast_len from numpy import pi, random class TestFFTShift(TestCase): def test_definition(self): x = [0,1,2,3,4,-4,-3,-2,-1] y = [-4,-3,-2,-1,0,1,2,3,4] assert_array_almost_equal(fftshift(x),y) assert_array_almost_equal(ifftshift(y),x) x = [0,1,2,3,4,-5,-4,-3,-2,-1] y = [-5,-4,-3,-2,-1,0,1,2,3,4] assert_array_almost_equal(fftshift(x),y) assert_array_almost_equal(ifftshift(y),x) def test_inverse(self): for n in [1,4,9,100,211]: x = random.random((n,)) assert_array_almost_equal(ifftshift(fftshift(x)),x) class TestFFTFreq(TestCase): def test_definition(self): x = [0,1,2,3,4,-4,-3,-2,-1] assert_array_almost_equal(9*fftfreq(9),x) assert_array_almost_equal(9*pi*fftfreq(9,pi),x) x = [0,1,2,3,4,-5,-4,-3,-2,-1] assert_array_almost_equal(10*fftfreq(10),x) assert_array_almost_equal(10*pi*fftfreq(10,pi),x) class TestRFFTFreq(TestCase): def test_definition(self): x = [0,1,1,2,2,3,3,4,4] assert_array_almost_equal(9*rfftfreq(9),x) assert_array_almost_equal(9*pi*rfftfreq(9,pi),x) x = [0,1,1,2,2,3,3,4,4,5] assert_array_almost_equal(10*rfftfreq(10),x) assert_array_almost_equal(10*pi*rfftfreq(10,pi),x) class TestNextOptLen(TestCase): def test_next_opt_len(self): random.seed(1234) def nums(): for j in range(1, 1000): yield j yield 2**5 * 3**5 * 4**5 + 1 for n in nums(): m = next_fast_len(n) msg = "n=%d, m=%d" % (n, m) assert_(m >= n, msg) # check regularity k = m for d in [2, 3, 5]: while True: a, b = divmod(k, d) if b == 0: k = a else: break assert_equal(k, 1, err_msg=msg) def test_next_opt_len_strict(self): hams = { 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6, 7: 8, 8: 8, 14: 15, 15: 15, 16: 16, 17: 18, 1021: 1024, 1536: 1536, 51200000: 51200000, 510183360: 510183360, 510183360 + 1: 512000000, 511000000: 512000000, 854296875: 854296875, 854296875 + 1: 859963392, 196608000000: 196608000000, 196608000000 + 1: 196830000000, 8789062500000: 8789062500000, 8789062500000 + 1: 8796093022208, 206391214080000: 206391214080000, 206391214080000 + 1: 206624260800000, 470184984576000: 470184984576000, 470184984576000 + 1: 470715894135000, 7222041363087360: 7222041363087360, 7222041363087360 + 1: 7230196133913600, # power of 5 5**23 11920928955078125: 11920928955078125, 11920928955078125 - 1: 11920928955078125, # power of 3 3**34 16677181699666569: 16677181699666569, 16677181699666569 - 1: 16677181699666569, # power of 2 2**54 18014398509481984: 18014398509481984, 18014398509481984 - 1: 18014398509481984, # above this, int(ceil(n)) == int(ceil(n+1)) 19200000000000000: 19200000000000000, 19200000000000000 + 1: 19221679687500000, 288230376151711744: 288230376151711744, 288230376151711744 + 1: 288325195312500000, 288325195312500000 - 1: 288325195312500000, 288325195312500000: 288325195312500000, 288325195312500000 + 1: 288555831593533440, # power of 3 3**83 3990838394187339929534246675572349035227 - 1: 3990838394187339929534246675572349035227, 3990838394187339929534246675572349035227: 3990838394187339929534246675572349035227, # power of 2 2**135 43556142965880123323311949751266331066368 - 1: 43556142965880123323311949751266331066368, 43556142965880123323311949751266331066368: 43556142965880123323311949751266331066368, # power of 5 5**57 6938893903907228377647697925567626953125 - 1: 6938893903907228377647697925567626953125, 6938893903907228377647697925567626953125: 6938893903907228377647697925567626953125, # http://www.drdobbs.com/228700538 # 2**96 * 3**1 * 5**13 290142196707511001929482240000000000000 - 1: 290142196707511001929482240000000000000, 290142196707511001929482240000000000000: 290142196707511001929482240000000000000, 290142196707511001929482240000000000000 + 1: 290237644800000000000000000000000000000, # 2**36 * 3**69 * 5**7 4479571262811807241115438439905203543080960000000 - 1: 4479571262811807241115438439905203543080960000000, 4479571262811807241115438439905203543080960000000: 4479571262811807241115438439905203543080960000000, 4479571262811807241115438439905203543080960000000 + 1: 4480327901140333639941336854183943340032000000000, # 2**37 * 3**44 * 5**42 30774090693237851027531250000000000000000000000000000000000000 - 1: 30774090693237851027531250000000000000000000000000000000000000, 30774090693237851027531250000000000000000000000000000000000000: 30774090693237851027531250000000000000000000000000000000000000, 30774090693237851027531250000000000000000000000000000000000000 + 1: 30778180617309082445871527002041377406962596539492679680000000, } for x, y in hams.items(): assert_equal(next_fast_len(x), y) if __name__ == "__main__": run_module_suite()