Projekt_AI-Automatyczny_saper/venv/Lib/site-packages/scipy/__init__.py

152 lines
5.4 KiB
Python

"""
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)
# fft is especially problematic, so was removed in SciPy 1.6.0
from numpy.fft import ifft
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', '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 as e:
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 e
from scipy.version import version as __version__
# Allow distributors to run custom init code
from . import _distributor_init
from scipy._lib import _pep440
np_minversion = '1.16.5'
np_maxversion = '1.23.0'
if (_pep440.parse(__numpy_version__) < _pep440.Version(np_minversion) or
_pep440.parse(__numpy_version__) >= _pep440.Version(np_maxversion)):
import warnings
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of "
f"SciPy (detected version {__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