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149 lines
5.2 KiB
Python
149 lines
5.2 KiB
Python
"""
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SciPy: A scientific computing package for Python
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================================================
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Documentation is available in the docstrings and
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online at https://docs.scipy.org.
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Contents
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--------
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SciPy imports all the functions from the NumPy namespace, and in
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addition provides:
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Subpackages
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-----------
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Using any of these subpackages requires an explicit import. For example,
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``import scipy.cluster``.
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::
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cluster --- Vector Quantization / Kmeans
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fft --- Discrete Fourier transforms
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fftpack --- Legacy discrete Fourier transforms
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integrate --- Integration routines
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interpolate --- Interpolation Tools
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io --- Data input and output
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linalg --- Linear algebra routines
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linalg.blas --- Wrappers to BLAS library
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linalg.lapack --- Wrappers to LAPACK library
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misc --- Various utilities that don't have
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another home.
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ndimage --- N-D image package
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odr --- Orthogonal Distance Regression
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optimize --- Optimization Tools
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signal --- Signal Processing Tools
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signal.windows --- Window functions
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sparse --- Sparse Matrices
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sparse.linalg --- Sparse Linear Algebra
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sparse.linalg.dsolve --- Linear Solvers
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sparse.linalg.dsolve.umfpack --- :Interface to the UMFPACK library:
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Conjugate Gradient Method (LOBPCG)
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sparse.linalg.eigen --- Sparse Eigenvalue Solvers
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sparse.linalg.eigen.lobpcg --- Locally Optimal Block Preconditioned
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Conjugate Gradient Method (LOBPCG)
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spatial --- Spatial data structures and algorithms
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special --- Special functions
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stats --- Statistical Functions
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Utility tools
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-------------
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::
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test --- Run scipy unittests
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show_config --- Show scipy build configuration
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show_numpy_config --- Show numpy build configuration
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__version__ --- SciPy version string
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__numpy_version__ --- Numpy version string
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"""
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__all__ = ['test']
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from numpy import show_config as show_numpy_config
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if show_numpy_config is None:
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raise ImportError(
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"Cannot import SciPy when running from NumPy source directory.")
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from numpy import __version__ as __numpy_version__
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# Import numpy symbols to scipy name space (DEPRECATED)
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from ._lib.deprecation import _deprecated
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import numpy as _num
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linalg = None
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_msg = ('scipy.{0} is deprecated and will be removed in SciPy 2.0.0, '
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'use numpy.{0} instead')
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# deprecate callable objects, skipping classes
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for _key in _num.__all__:
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_fun = getattr(_num, _key)
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if callable(_fun) and not isinstance(_fun, type):
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_fun = _deprecated(_msg.format(_key))(_fun)
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globals()[_key] = _fun
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from numpy.random import rand, randn
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_msg = ('scipy.{0} is deprecated and will be removed in SciPy 2.0.0, '
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'use numpy.random.{0} instead')
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rand = _deprecated(_msg.format('rand'))(rand)
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randn = _deprecated(_msg.format('randn'))(randn)
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# fft is especially problematic, so was removed in SciPy 1.6.0
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from numpy.fft import ifft
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ifft = _deprecated('scipy.ifft is deprecated and will be removed in SciPy '
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'2.0.0, use scipy.fft.ifft instead')(ifft)
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import numpy.lib.scimath as _sci
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_msg = ('scipy.{0} is deprecated and will be removed in SciPy 2.0.0, '
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'use numpy.lib.scimath.{0} instead')
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for _key in _sci.__all__:
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_fun = getattr(_sci, _key)
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if callable(_fun):
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_fun = _deprecated(_msg.format(_key))(_fun)
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globals()[_key] = _fun
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__all__ += _num.__all__
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__all__ += ['randn', 'rand', 'ifft']
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del _num
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# Remove the linalg imported from NumPy so that the scipy.linalg package can be
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# imported.
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del linalg
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__all__.remove('linalg')
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# We first need to detect if we're being called as part of the SciPy
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# setup procedure itself in a reliable manner.
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try:
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__SCIPY_SETUP__
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except NameError:
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__SCIPY_SETUP__ = False
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if __SCIPY_SETUP__:
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import sys as _sys
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_sys.stderr.write('Running from SciPy source directory.\n')
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del _sys
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else:
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try:
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from scipy.__config__ import show as show_config
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except ImportError as e:
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msg = """Error importing SciPy: you cannot import SciPy while
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being in scipy source directory; please exit the SciPy source
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tree first and relaunch your Python interpreter."""
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raise ImportError(msg) from e
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from scipy.version import version as __version__
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# Allow distributors to run custom init code
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from . import _distributor_init
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from scipy._lib import _pep440
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if _pep440.parse(__numpy_version__) < _pep440.Version('1.16.5'):
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import warnings
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warnings.warn("NumPy 1.16.5 or above is required for this version of "
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"SciPy (detected version %s)" % __numpy_version__,
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UserWarning)
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del _pep440
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from scipy._lib._ccallback import LowLevelCallable
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from scipy._lib._testutils import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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# This makes "from scipy import fft" return scipy.fft, not np.fft
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del fft
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