Python gsl_vector_float 예제들

예제 #1

파일: SWIGTestLALPython.py 프로젝트: niuiniuin/lalsuite

c16 = c16dat
retn, c16 = lal.swig_lal_test_copyinout_COMPLEX16VectorSequence(c16)
assert (retn)
assert ((c16 == 3 * c16dat).all())
del c16
del c16out
del c16dat
lal.CheckMemoryLeaks()
print("PASSED input views of numeric array structs (LAL)")
vfdat = numpy.array([1.2, 2.3, 3.4, 4.5, 5.6], dtype=numpy.float32)
vddat = numpy.array([3.4, 4.5, 5.6, 6.7, 7.8, 8.9], dtype=numpy.float64)
vcfdat = numpy.array(numpy.vectorize(complex)(vfdat, 8 + vfdat),
                     dtype=numpy.complex64)
vcddat = numpy.array(numpy.vectorize(complex)(vddat, 16 + vddat),
                     dtype=numpy.complex128)
vf = lal.gsl_vector_float(len(vfdat))
vf.data = vfdat
vfout = lal.gsl_vector_float(len(vfdat))
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert (lal.swig_lal_test_viewin_gsl_vector_float(vfout, vf))
assert ((vfout.data == vf.data).all())
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert (lal.swig_lal_test_viewin_gsl_vector_float(vfout, vfdat))
assert ((vfout.data == vfdat).all())
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert (lal.swig_lal_test_viewinout_gsl_vector_float(vfout, vf))
assert ((2 * vfout.data == vf.data).all())
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert (lal.swig_lal_test_viewinout_gsl_vector_float(vfout, vfdat))
assert ((2 * vfout.data == vfdat).all())
vf.data = vfdat

예제 #2

파일: SWIGTestLALPython.py 프로젝트: ahnitz/lalsuite

c16out.data = numpy.zeros(numpy.shape(c16dat), dtype=c16dat.dtype)
assert(lal.swig_lal_test_viewinout_COMPLEX16VectorSequence(c16out, c16))
assert((2 * c16out.data == c16.data).all())
c16out.data = numpy.zeros(numpy.shape(c16dat), dtype=c16dat.dtype)
assert(lal.swig_lal_test_viewinout_COMPLEX16VectorSequence(c16out, c16dat))
assert((2 * c16out.data == c16dat).all())
del c16
del c16out
del c16dat
lal.CheckMemoryLeaks()
print("PASSED input views of array structs (LAL)")
vfdat = numpy.array([1.2, 2.3, 3.4, 4.5, 5.6], dtype=numpy.float32)
vddat = numpy.array([3.4, 4.5, 5.6, 6.7, 7.8, 8.9], dtype=numpy.float64)
vcfdat = numpy.array(numpy.vectorize(complex)(vfdat, 8 + vfdat), dtype=numpy.complex64)
vcddat = numpy.array(numpy.vectorize(complex)(vddat, 16 + vddat), dtype=numpy.complex128)
vf = lal.gsl_vector_float(len(vfdat))
vf.data = vfdat
vfout = lal.gsl_vector_float(len(vfdat))
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert(lal.swig_lal_test_viewin_gsl_vector_float(vfout, vf))
assert((vfout.data == vf.data).all())
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert(lal.swig_lal_test_viewin_gsl_vector_float(vfout, vfdat))
assert((vfout.data == vfdat).all())
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert(lal.swig_lal_test_viewinout_gsl_vector_float(vfout, vf))
assert((2 * vfout.data == vf.data).all())
vfout.data = numpy.zeros(numpy.shape(vfdat), dtype=vfdat.dtype)
assert(lal.swig_lal_test_viewinout_gsl_vector_float(vfout, vfdat))
assert((2 * vfout.data == vfdat).all())
del vf