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converted testkiss.py from Numeric to numpy

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This commit is contained in:
Mark Borgerding 2012-07-17 23:31:00 -04:00
parent 8fedba4d91
commit 4faaa83075
2 changed files with 19 additions and 18 deletions
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1
Makefile
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@ -13,6 +13,7 @@ testall:
make -C test DATATYPE=int16_t CFLAGADD="$(CFLAGADD)" test
make -C test DATATYPE=float CFLAGADD="$(CFLAGADD)" test
make -C test DATATYPE=double CFLAGADD="$(CFLAGADD)" test
echo "all tests passed"
tarball: clean
hg archive -r v$(KFVER) -t tgz kiss_fft$(KFVER).tar.gz

36
test/testkiss.py
View File

@ -7,8 +7,7 @@ import random
import struct
import popen2
import getopt
import Numeric
import FFT
import numpy
pi=math.pi
e=math.e
@ -26,7 +25,7 @@ elif datatype=='int16_t':
fmt='h'
minsnr=10
elif datatype=='int32_t':
fmt='l'
fmt='i'
elif datatype=='simd':
fmt='4f'
sys.stderr.write('testkiss.py does not yet test simd')
@ -39,21 +38,21 @@ else:
def dopack(x,cpx=1):
x = Numeric.reshape( x, ( Numeric.size(x),) )
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) for c in x ] )
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 Numeric.array(s[::2]) + Numeric.array( s[1::2] )*j
return numpy.array(s[::2]) + numpy.array( s[1::2] )*j
else:
return Numeric.array(s )
return numpy.array(s )
def make_random(dims=[1]):
res = []
@ -67,11 +66,11 @@ def make_random(dims=[1]):
res.append( complex(r,i) )
else:
res.append( make_random( dims[1:] ) )
return Numeric.array(res)
return numpy.array(res)
def flatten(x):
ntotal = Numeric.product(Numeric.shape(x))
return Numeric.reshape(x,(ntotal,))
ntotal = numpy.size(x)
return numpy.reshape(x,(ntotal,))
def randmat( ndims ):
dims=[]
@ -85,11 +84,11 @@ def randmat( ndims ):
def test_fft(ndims):
x=randmat( ndims )
print 'dimensions=%s' % str( Numeric.shape(x) ),
if doreal:
xver = FFT.real_fftnd(x)
xver = numpy.fft.rfftn(x)
else:
xver = FFT.fftnd(x)
xver = numpy.fft.fftn(x)
open('/tmp/fftexp.dat','w').write(dopack( flatten(xver) , True ) )
@ -97,8 +96,8 @@ def test_fft(ndims):
err = xver - x2
errf = flatten(err)
xverf = flatten(xver)
errpow = Numeric.vdot(errf,errf)+1e-10
sigpow = Numeric.vdot(xverf,xverf)+1e-10
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)
@ -109,9 +108,9 @@ def test_fft(ndims):
sys.exit(1)
def dofft(x):
dims=list( Numeric.shape(x) )
dims=list( numpy.shape(x) )
x = flatten(x)
iscomp = (type(x[0]) == complex)
iscomp = (all(x.conj()==x)==False)
scale=1
if datatype=='int16_t':
@ -126,6 +125,7 @@ def dofft(x):
if doreal:
cmd += ' -R '
print cmd
p = popen2.Popen3(cmd )
open('/tmp/fftin.dat','w').write(dopack( x , iscomp ) )
@ -141,7 +141,7 @@ def dofft(x):
res = scale * res
p.wait()
return Numeric.reshape(res,dims)
return numpy.reshape(res,dims)
def main():
opts,args = getopt.getopt(sys.argv[1:],'r')