standard_normal Standard normal distribution.
standard_t Standard Student's t-distribution.
==================== =========================================================
==================== =========================================================
Internal functions
==============================================================================
get_state Get tuple representing internal state of generator.
set_state Set state of generator.
==================== =========================================================
"""
# To get sub-modules
from info import __doc__, __all__
from mtrand import *
# Some aliases:
ranf = random = sample = random_sample
__all__.extend(['ranf','random','sample'])
def __RandomState_ctor():
"""Return a RandomState instance.
This function exists solely to assist (un)pickling.
"""
return RandomState()
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
==================== =========================================================
==================== =========================================================
Internal functions
==============================================================================
get_state Get tuple representing internal state of generator.
set_state Set state of generator.
==================== =========================================================
"""
# To get sub-modules
from info import __doc__, __all__
from mtrand import *
# Some aliases:
ranf = random = sample = random_sample
__all__.extend(['ranf', 'random', 'sample'])
def __RandomState_ctor():
"""Return a RandomState instance.
This function exists solely to assist (un)pickling.
"""
return RandomState()
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
#
# fftpack - Discrete Fourier Transform algorithms.
#
# Created: Pearu Peterson, August,September 2002
from info import __all__,__doc__
from fftpack_version import fftpack_version as __version__
from basic import *
from pseudo_diffs import *
from helper import *
from numpy.dual import register_func
for k in ['fft', 'ifft', 'fftn', 'ifftn', 'fft2', 'ifft2']:
register_func(k, eval(k))
del k, register_func
from realtransforms import *
__all__.extend(['dct', 'idct'])
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
==================== =========================================================
Internal functions
==============================================================================
get_state Get tuple representing internal state of generator.
set_state Set state of generator.
==================== =========================================================
"""
# To get sub-modules
from info import __doc__, __all__
import mtrand
from mtrand import *
# Some aliases:
ranf = random = sample = mtrand.random_sample
__all__.extend(["ranf", "random", "sample"])
def __RandomState_ctor():
"""Return a RandomState instance.
This function exists solely to assist (un)pickling.
"""
return RandomState()
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
#
# fftpack - Discrete Fourier Transform algorithms.
#
# Created: Pearu Peterson, August,September 2002
from info import __all__, __doc__
from fftpack_version import fftpack_version as __version__
from basic import *
from pseudo_diffs import *
from helper import *
from numpy.dual import register_func
for k in ['fft', 'ifft', 'fftn', 'ifftn', 'fft2', 'ifft2']:
register_func(k, eval(k))
del k, register_func
from realtransforms import *
__all__.extend(['dct', 'idct'])
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
