with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="numpy.ndarray size changed")
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.
Note that the state of the RandomState returned here is irrelevant, as this function's
entire purpose is to return a newly allocated RandomState whose state pickle can set.
Consequently the RandomState returned by this function is a freshly allocated copy
with a seed=0.
See https://github.com/numpy/numpy/issues/4763 for a detailed discussion
"""
return RandomState(seed=0)
from numpy.testing.nosetester import _numpy_tester
test = _numpy_tester().test
bench = _numpy_tester().bench
from __future__ import division, absolute_import, print_function
import sys
from .__version__ import version as __version__
# Must import local ccompiler ASAP in order to get
# customized CCompiler.spawn effective.
from . import ccompiler
from . import unixccompiler
from .info import __doc__
from .npy_pkg_config import *
# If numpy is installed, add distutils.test()
try:
from . import __config__
# Normally numpy is installed if the above import works, but an interrupted
# in-place build could also have left a __config__.py. In that case the
# next import may still fail, so keep it inside the try block.
from numpy.testing.nosetester import _numpy_tester
test = _numpy_tester().test
except ImportError:
pass
from __future__ import division, absolute_import, print_function
# Must import local ccompiler ASAP in order to get
# customized CCompiler.spawn effective.
# If numpy is installed, add distutils.test()
try:
from . import __config__
# Normally numpy is installed if the above import works, but an interrupted
# in-place build could also have left a __config__.py. In that case the
# next import may still fail, so keep it inside the try block.
from numpy.testing.nosetester import _numpy_tester
test = _numpy_tester().test
except ImportError:
pass
""" A sub-package for efficiently dealing with polynomials. Within the documentation for this sub-package, a "finite power series," i.e., a polynomial (also referred to simply as a "series") is represented by a 1-D numpy array of the polynomial's coefficients, ordered from lowest order term to highest. For example, array([1,2,3]) represents ``P_0 + 2*P_1 + 3*P_2``, where P_n is the n-th order basis polynomial applicable to the specific module in question, e.g., `polynomial` (which "wraps" the "standard" basis) or `chebyshev`. For optimal performance, all operations on polynomials, including evaluation at an argument, are implemented as operations on the coefficients. Additional (module-specific) information can be found in the docstring for the module of interest. """ from __future__ import division, absolute_import, print_function from .polynomial import Polynomial from .chebyshev import Chebyshev from .legendre import Legendre from .hermite import Hermite from .hermite_e import HermiteE from .laguerre import Laguerre from numpy.testing.nosetester import _numpy_tester test = _numpy_tester().test bench = _numpy_tester().bench
