add padding function to imgScalePadding()
This commit is contained in:
224
.CondaPkg/env/Lib/site-packages/scipy/__init__.py
vendored
224
.CondaPkg/env/Lib/site-packages/scipy/__init__.py
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"""
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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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datasets --- Dataset methods
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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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# start delvewheel patch
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def _delvewheel_init_patch_1_3_1():
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import os
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import sys
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libs_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, 'scipy.libs'))
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is_pyinstaller = getattr(sys, 'frozen', False) and hasattr(sys, '_MEIPASS')
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if not is_pyinstaller or os.path.isdir(libs_dir):
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os.add_dll_directory(libs_dir)
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_delvewheel_init_patch_1_3_1()
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del _delvewheel_init_patch_1_3_1
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# end delvewheel patch
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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 np
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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 from numpy, skipping classes and modules
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import types as _types # noqa: E402
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for _key in np.__all__:
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if _key.startswith('_'):
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continue
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_fun = getattr(np, _key)
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if isinstance(_fun, _types.ModuleType):
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continue
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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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del np, _types
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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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from numpy.lib import scimath # noqa: E402
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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 scimath.__all__:
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_fun = getattr(scimath, _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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del scimath
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del _msg, _fun, _key, _deprecated
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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
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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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del _distributor_init
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from scipy._lib import _pep440
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# In maintenance branch, change to np_maxversion N+3 if numpy is at N
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# See setup.py for more details
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np_minversion = '1.19.5'
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np_maxversion = '1.27.0'
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if (_pep440.parse(__numpy_version__) < _pep440.Version(np_minversion) or
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_pep440.parse(__numpy_version__) >= _pep440.Version(np_maxversion)):
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import warnings
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warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
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f" is required for this version of SciPy (detected "
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f"version {__numpy_version__})",
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UserWarning)
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del _pep440
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# This is the first import of an extension module within SciPy. If there's
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# a general issue with the install, such that extension modules are missing
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# or cannot be imported, this is where we'll get a failure - so give an
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# informative error message.
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try:
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from scipy._lib._ccallback import LowLevelCallable
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except ImportError as e:
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msg = "The `scipy` install you are using seems to be broken, " + \
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"(extension modules cannot be imported), " + \
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"please try reinstalling."
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raise ImportError(msg) from e
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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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submodules = [
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'cluster',
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'datasets',
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'fft',
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'fftpack',
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'integrate',
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'interpolate',
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'io',
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'linalg',
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'misc',
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'ndimage',
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'odr',
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'optimize',
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'signal',
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'sparse',
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'spatial',
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'special',
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'stats'
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]
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__all__ = submodules + [
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'LowLevelCallable',
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'test',
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'show_config',
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'__version__',
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'__numpy_version__'
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]
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def __dir__():
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return __all__
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import importlib as _importlib
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def __getattr__(name):
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if name in submodules:
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return _importlib.import_module(f'scipy.{name}')
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else:
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try:
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return globals()[name]
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except KeyError:
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raise AttributeError(
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f"Module 'scipy' has no attribute '{name}'"
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)
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