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File Content: `init.py`

"""
Linear Solvers
==============

The default solver is SuperLU (included in the scipy distribution),
which can solve real or complex linear systems in both single and
double precisions.  It is automatically replaced by UMFPACK, if
available.  Note that UMFPACK works in double precision only, so
switch it off by::

    >>> use_solver(useUmfpack=False)

to solve in the single precision. See also use_solver documentation.

Example session::

    >>> from scipy.sparse import csc_matrix, spdiags
    >>> from numpy import array
    >>> from scipy.sparse.linalg import spsolve, use_solver
    >>>
    >>> print "Inverting a sparse linear system:"
    >>> print "The sparse matrix (constructed from diagonals):"
    >>> a = spdiags([[1, 2, 3, 4, 5], [6, 5, 8, 9, 10]], [0, 1], 5, 5)
    >>> b = array([1, 2, 3, 4, 5])
    >>> print "Solve: single precision complex:"
    >>> use_solver( useUmfpack = False )
    >>> a = a.astype('F')
    >>> x = spsolve(a, b)
    >>> print x
    >>> print "Error: ", a*x-b
    >>>
    >>> print "Solve: double precision complex:"
    >>> use_solver( useUmfpack = True )
    >>> a = a.astype('D')
    >>> x = spsolve(a, b)
    >>> print x
    >>> print "Error: ", a*x-b
    >>>
    >>> print "Solve: double precision:"
    >>> a = a.astype('d')
    >>> x = spsolve(a, b)
    >>> print x
    >>> print "Error: ", a*x-b
    >>>
    >>> print "Solve: single precision:"
    >>> use_solver( useUmfpack = False )
    >>> a = a.astype('f')
    >>> x = spsolve(a, b.astype('f'))
    >>> print x
    >>> print "Error: ", a*x-b

"""

from __future__ import division, print_function, absolute_import

#import umfpack
#__doc__ = '\n\n'.join( (__doc__,  umfpack.__doc__) )
#del umfpack

from .linsolve import *
from ._superlu import SuperLU
from . import _add_newdocs

__all__ = [s for s in dir() if not s.startswith('_')]
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench

Name	Size	Permission
__pycache__	---	0755
tests	---	0755
__init__.py	1921 bytes	0644
_add_newdocs.py	3801 bytes	0644
_superlu.cpython-35m-x86_64-linux-gnu.so	347464 bytes	0755
linsolve.py	12674 bytes	0644
setup.py	1728 bytes	0644

File Content: __init__.py

File Content: `init.py`