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#!/usr/bin/env python
# Copyright (c) 2003-2010, Mark Borgerding. All rights reserved.
# This file is part of KISS FFT - https://github.com/mborgerding/kissfft
#
# SPDX-License-Identifier: BSD-3-Clause
# See COPYING file for more information.
import math
import sys
import os
import random
import struct
import popen2
import getopt
import numpy
pi=math.pi
e=math.e
j=complex(0,1)
doreal=0
datatype = os.environ.get('DATATYPE','float')
util = '../tools/fft_' + datatype
minsnr=90
if datatype == 'double':
fmt='d'
elif datatype=='int16_t':
fmt='h'
minsnr=10
elif datatype=='int32_t':
fmt='i'
elif datatype=='simd':
fmt='4f'
sys.stderr.write('testkiss.py does not yet test simd')
sys.exit(0)
elif datatype=='float':
fmt='f'
else:
sys.stderr.write('unrecognized datatype %s\n' % datatype)
sys.exit(1)
def dopack(x,cpx=1):
x = numpy.reshape( x, ( numpy.size(x),) )
if cpx:
s = ''.join( [ struct.pack(fmt*2,c.real,c.imag) for c in x ] )
else:
s = ''.join( [ struct.pack(fmt,c.real) for c in x ] )
return s
def dounpack(x,cpx):
uf = fmt * ( len(x) / struct.calcsize(fmt) )
s = struct.unpack(uf,x)
if cpx:
return numpy.array(s[::2]) + numpy.array( s[1::2] )*j
else:
return numpy.array(s )
def make_random(dims=[1]):
res = []
for i in range(dims[0]):
if len(dims)==1:
r=random.uniform(-1,1)
if doreal:
res.append( r )
else:
i=random.uniform(-1,1)
res.append( complex(r,i) )
else:
res.append( make_random( dims[1:] ) )
return numpy.array(res)
def flatten(x):
ntotal = numpy.size(x)
return numpy.reshape(x,(ntotal,))
def randmat( ndims ):
dims=[]
for i in range( ndims ):
curdim = int( random.uniform(2,5) )
if doreal and i==(ndims-1):
curdim = int(curdim/2)*2 # force even last dimension if real
dims.append( curdim )
return make_random(dims )
def test_fft(ndims):
x=randmat( ndims )
if doreal:
xver = numpy.fft.rfftn(x)
else:
xver = numpy.fft.fftn(x)
open('/tmp/fftexp.dat','w').write(dopack( flatten(xver) , True ) )
x2=dofft(x,doreal)
err = xver - x2
errf = flatten(err)
xverf = flatten(xver)
errpow = numpy.vdot(errf,errf)+1e-10
sigpow = numpy.vdot(xverf,xverf)+1e-10
snr = 10*math.log10(abs(sigpow/errpow) )
print 'SNR (compared to NumPy) : %.1fdB' % float(snr)
if snr<minsnr:
print 'xver=',xver
print 'x2=',x2
print 'err',err
sys.exit(1)
def dofft(x,isreal):
dims=list( numpy.shape(x) )
x = flatten(x)
scale=1
if datatype=='int16_t':
x = 32767 * x
scale = len(x) / 32767.0
elif datatype=='int32_t':
x = 2147483647.0 * x
scale = len(x) / 2147483647.0
cmd='%s -n ' % util
cmd += ','.join([str(d) for d in dims])
if doreal:
cmd += ' -R '
print cmd
p = popen2.Popen3(cmd )
open('/tmp/fftin.dat','w').write(dopack( x , isreal==False ) )
p.tochild.write( dopack( x , isreal==False ) )
p.tochild.close()
res = dounpack( p.fromchild.read() , 1 )
open('/tmp/fftout.dat','w').write(dopack( flatten(res) , True ) )
if doreal:
dims[-1] = int( dims[-1]/2 ) + 1
res = scale * res
p.wait()
return numpy.reshape(res,dims)
def main():
opts,args = getopt.getopt(sys.argv[1:],'r')
opts=dict(opts)
global doreal
doreal = opts.has_key('-r')
if doreal:
print 'Testing multi-dimensional real FFTs'
else:
print 'Testing multi-dimensional FFTs'
for dim in range(1,4):
test_fft( dim )
if __name__ == "__main__":
main()
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