Coverage for /usr/lib/python3/dist-packages/scipy/__init__.py : 82%

""" 

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 

fftpack --- Discrete Fourier Transform algorithms 

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-dimensional 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 

""" 

from __future__ import division, print_function, absolute_import 

__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 

import numpy as _num 

linalg = None 

from numpy import * 

from numpy.random import rand, randn 

from numpy.fft import fft, ifft 

from numpy.lib.scimath import * 

# Allow distributors to run custom init code 

from . import _distributor_init 

__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__ 

from scipy._lib._version import NumpyVersion as _NumpyVersion 

if _NumpyVersion(__numpy_version__) < '1.8.2': 

import warnings 

warnings.warn("Numpy 1.8.2 or above is recommended for this version of " 

"scipy (detected version %s)" % __numpy_version__, 

UserWarning) 

del _NumpyVersion 

from scipy._lib._ccallback import LowLevelCallable 

from scipy._lib._testutils import PytestTester 

test = PytestTester(__name__) 

del PytestTester