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""" SciPy: A scientific computing package for Python ================================================
Documentation is available in the docstrings and online at https://docs.scipy.org.
Contents -------- SciPy imports all the functions from the NumPy namespace, and in addition provides:
Subpackages ----------- Using any of these subpackages requires an explicit import. For example, ``import scipy.cluster``.
::
cluster --- Vector Quantization / Kmeans fft --- Discrete Fourier transforms fftpack --- Legacy discrete Fourier transforms integrate --- Integration routines interpolate --- Interpolation Tools io --- Data input and output linalg --- Linear algebra routines linalg.blas --- Wrappers to BLAS library linalg.lapack --- Wrappers to LAPACK library misc --- Various utilities that don't have another home. ndimage --- N-D image package odr --- Orthogonal Distance Regression optimize --- Optimization Tools signal --- Signal Processing Tools signal.windows --- Window functions sparse --- Sparse Matrices sparse.linalg --- Sparse Linear Algebra sparse.linalg.dsolve --- Linear Solvers sparse.linalg.dsolve.umfpack --- :Interface to the UMFPACK library: Conjugate Gradient Method (LOBPCG) sparse.linalg.eigen --- Sparse Eigenvalue Solvers sparse.linalg.eigen.lobpcg --- Locally Optimal Block Preconditioned Conjugate Gradient Method (LOBPCG) spatial --- Spatial data structures and algorithms special --- Special functions stats --- Statistical Functions
Utility tools ------------- ::
test --- Run scipy unittests show_config --- Show scipy build configuration show_numpy_config --- Show numpy build configuration __version__ --- SciPy version string __numpy_version__ --- Numpy version string
""" __all__ = ['test']
from numpy import show_config as show_numpy_config if show_numpy_config is None: raise ImportError( "Cannot import SciPy when running from NumPy source directory.") from numpy import __version__ as __numpy_version__
# Import numpy symbols to scipy name space (DEPRECATED) from ._lib.deprecation import _deprecated import numpy as _num linalg = None _msg = ('scipy.{0} is deprecated and will be removed in SciPy 2.0.0, ' 'use numpy.{0} instead') # deprecate callable objects, skipping classes for _key in _num.__all__: _fun = getattr(_num, _key) if callable(_fun) and not isinstance(_fun, type): _fun = _deprecated(_msg.format(_key))(_fun) globals()[_key] = _fun from numpy.random import rand, randn _msg = ('scipy.{0} is deprecated and will be removed in SciPy 2.0.0, ' 'use numpy.random.{0} instead') rand = _deprecated(_msg.format('rand'))(rand) randn = _deprecated(_msg.format('randn'))(randn) from numpy.fft import fft, ifft # fft is especially problematic, so we deprecate it with a shorter window fft_msg = ('Using scipy.fft as a function is deprecated and will be ' 'removed in SciPy 1.5.0, use scipy.fft.fft instead.') # for wrapping in scipy.fft.__call__, so the stacklevel is one off from the # usual (2) _dep_fft = _deprecated(fft_msg, stacklevel=3)(fft) fft = _deprecated(fft_msg)(fft) ifft = _deprecated('scipy.ifft is deprecated and will be removed in SciPy ' '2.0.0, use scipy.fft.ifft instead')(ifft) import numpy.lib.scimath as _sci _msg = ('scipy.{0} is deprecated and will be removed in SciPy 2.0.0, ' 'use numpy.lib.scimath.{0} instead') for _key in _sci.__all__: _fun = getattr(_sci, _key) if callable(_fun): _fun = _deprecated(_msg.format(_key))(_fun) globals()[_key] = _fun
__all__ += _num.__all__ __all__ += ['randn', 'rand', 'fft', 'ifft']
del _num # Remove the linalg imported from NumPy so that the scipy.linalg package can be # imported. del linalg __all__.remove('linalg')
# We first need to detect if we're being called as part of the SciPy # setup procedure itself in a reliable manner. try: __SCIPY_SETUP__ except NameError: __SCIPY_SETUP__ = False
if __SCIPY_SETUP__: import sys as _sys _sys.stderr.write('Running from SciPy source directory.\n') del _sys else: try: from scipy.__config__ import show as show_config except ImportError: msg = """Error importing SciPy: you cannot import SciPy while being in scipy source directory; please exit the SciPy source tree first and relaunch your Python interpreter.""" raise ImportError(msg)
from scipy.version import version as __version__
# Allow distributors to run custom init code from . import _distributor_init
from scipy._lib import _pep440 if _pep440.parse(__numpy_version__) < _pep440.Version('1.14.5'): import warnings warnings.warn("NumPy 1.14.5 or above is required for this version of " "SciPy (detected version %s)" % __numpy_version__, UserWarning)
del _pep440
from scipy._lib._ccallback import LowLevelCallable
from scipy._lib._testutils import PytestTester test = PytestTester(__name__) del PytestTester
# This makes "from scipy import fft" return scipy.fft, not np.fft del fft from . import fft |