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Name	Size	Permission	Date
tests	[ DIR ]	drwxr-xr-x	2021-09-16 10:54
__init__.py	827 B	-rw-r--r--	2013-04-07 01:04
__init__.pyc	1022 B	-rw-r--r--	2018-04-10 19:40
__init__.pyo	1022 B	-rw-r--r--	2018-04-10 19:40
alter_code1.py	8.3 KB	-rw-r--r--	2013-04-07 01:04
alter_code1.pyc	9.49 KB	-rw-r--r--	2018-04-10 19:40
alter_code1.pyo	9.49 KB	-rw-r--r--	2018-04-10 19:40
alter_code2.py	4.53 KB	-rw-r--r--	2013-04-07 01:04
alter_code2.pyc	5.96 KB	-rw-r--r--	2018-04-10 19:40
alter_code2.pyo	5.96 KB	-rw-r--r--	2018-04-10 19:40
array_printer.py	456 B	-rw-r--r--	2013-04-07 01:04
array_printer.pyc	667 B	-rw-r--r--	2018-04-10 19:40
array_printer.pyo	667 B	-rw-r--r--	2018-04-10 19:40
arrayfns.py	2.47 KB	-rw-r--r--	2013-04-07 01:04
arrayfns.pyc	4.32 KB	-rw-r--r--	2018-04-10 19:40
arrayfns.pyo	4.32 KB	-rw-r--r--	2018-04-10 19:40
compat.py	3.11 KB	-rw-r--r--	2013-04-07 01:04
compat.pyc	4.88 KB	-rw-r--r--	2018-04-10 19:40
compat.pyo	4.88 KB	-rw-r--r--	2018-04-10 19:40
fft.py	869 B	-rw-r--r--	2013-04-07 01:04
fft.pyc	1.03 KB	-rw-r--r--	2018-04-10 19:40
fft.pyo	1.03 KB	-rw-r--r--	2018-04-10 19:40
fix_default_axis.py	7.85 KB	-rw-r--r--	2013-04-07 01:04
fix_default_axis.pyc	7.68 KB	-rw-r--r--	2018-04-10 19:40
fix_default_axis.pyo	7.68 KB	-rw-r--r--	2018-04-10 19:40
functions.py	3.55 KB	-rw-r--r--	2013-04-07 01:04
functions.pyc	7.31 KB	-rw-r--r--	2018-04-10 19:40
functions.pyo	7.31 KB	-rw-r--r--	2018-04-10 19:40
linear_algebra.py	2.13 KB	-rw-r--r--	2013-04-07 01:04
linear_algebra.pyc	3.34 KB	-rw-r--r--	2018-04-10 19:40
linear_algebra.pyo	3.34 KB	-rw-r--r--	2018-04-10 19:40
ma.py	73.96 KB	-rw-r--r--	2013-04-07 01:04
ma.pyc	83.81 KB	-rw-r--r--	2018-04-10 19:40
ma.pyo	83.81 KB	-rw-r--r--	2018-04-10 19:40
matrix.py	1.57 KB	-rw-r--r--	2013-04-07 01:04
matrix.pyc	2.31 KB	-rw-r--r--	2018-04-10 19:40
matrix.pyo	2.31 KB	-rw-r--r--	2018-04-10 19:40
misc.py	1.14 KB	-rw-r--r--	2013-04-07 01:04
misc.pyc	1.53 KB	-rw-r--r--	2018-04-10 19:40
misc.pyo	1.53 KB	-rw-r--r--	2018-04-10 19:40
mlab.py	3.36 KB	-rw-r--r--	2013-04-07 01:04
mlab.pyc	5.32 KB	-rw-r--r--	2018-04-10 19:40
mlab.pyo	5.32 KB	-rw-r--r--	2018-04-10 19:40
precision.py	4.16 KB	-rw-r--r--	2013-04-07 01:04
precision.pyc	3.85 KB	-rw-r--r--	2018-04-10 19:40
precision.pyo	3.85 KB	-rw-r--r--	2018-04-10 19:40
random_array.py	11.18 KB	-rw-r--r--	2013-04-07 01:04
random_array.pyc	13.89 KB	-rw-r--r--	2018-04-10 19:40
random_array.pyo	13.89 KB	-rw-r--r--	2018-04-10 19:40
rng.py	3.67 KB	-rw-r--r--	2013-04-07 01:04
rng.pyc	6.74 KB	-rw-r--r--	2018-04-10 19:40
rng.pyo	6.74 KB	-rw-r--r--	2018-04-10 19:40
rng_stats.py	1.31 KB	-rw-r--r--	2013-04-07 01:04
rng_stats.pyc	1.83 KB	-rw-r--r--	2018-04-10 19:40
rng_stats.pyo	1.83 KB	-rw-r--r--	2018-04-10 19:40
setup.py	335 B	-rw-r--r--	2013-04-07 01:04
setup.pyc	664 B	-rw-r--r--	2018-04-10 19:40
setup.pyo	664 B	-rw-r--r--	2018-04-10 19:40
setupscons.py	282 B	-rw-r--r--	2013-04-07 01:04
setupscons.pyc	613 B	-rw-r--r--	2018-04-10 19:40
setupscons.pyo	613 B	-rw-r--r--	2018-04-10 19:40
typeconv.py	1.58 KB	-rw-r--r--	2013-04-07 01:04
typeconv.pyc	1.59 KB	-rw-r--r--	2018-04-10 19:40
typeconv.pyo	1.59 KB	-rw-r--r--	2018-04-10 19:40
ufuncs.py	1.2 KB	-rw-r--r--	2013-04-07 01:04
ufuncs.pyc	1.79 KB	-rw-r--r--	2018-04-10 19:40
ufuncs.pyo	1.79 KB	-rw-r--r--	2018-04-10 19:40
user_array.py	182 B	-rw-r--r--	2013-04-07 01:04
user_array.pyc	370 B	-rw-r--r--	2018-04-10 19:40
user_array.pyo	370 B	-rw-r--r--	2018-04-10 19:40

Rename

"""Backward compatible with LinearAlgebra from Numeric
"""
# This module is a lite version of the linalg.py module in SciPy which contains
# high-level Python interface to the LAPACK library.  The lite version
# only accesses the following LAPACK functions: dgesv, zgesv, dgeev,
# zgeev, dgesdd, zgesdd, dgelsd, zgelsd, dsyevd, zheevd, dgetrf, dpotrf.

__all__ = ['LinAlgError', 'solve_linear_equations',
           'inverse', 'cholesky_decomposition', 'eigenvalues',
           'Heigenvalues', 'generalized_inverse',
           'determinant', 'singular_value_decomposition',
           'eigenvectors',  'Heigenvectors',
           'linear_least_squares'
           ]

from numpy.core import transpose
import numpy.linalg as linalg

# Linear equations

LinAlgError = linalg.LinAlgError

def solve_linear_equations(a, b):
    return linalg.solve(a,b)

# Matrix inversion

def inverse(a):
    return linalg.inv(a)

# Cholesky decomposition

def cholesky_decomposition(a):
    return linalg.cholesky(a)

# Eigenvalues

def eigenvalues(a):
    return linalg.eigvals(a)

def Heigenvalues(a, UPLO='L'):
    return linalg.eigvalsh(a,UPLO)

# Eigenvectors

def eigenvectors(A):
    w, v = linalg.eig(A)
    return w, transpose(v)

def Heigenvectors(A):
    w, v = linalg.eigh(A)
    return w, transpose(v)

# Generalized inverse

def generalized_inverse(a, rcond = 1.e-10):
    return linalg.pinv(a, rcond)

# Determinant

def determinant(a):
    return linalg.det(a)

# Linear Least Squares

def linear_least_squares(a, b, rcond=1.e-10):
    """returns x,resids,rank,s
where x minimizes 2-norm(|b - Ax|)
      resids is the sum square residuals
      rank is the rank of A
      s is the rank of the singular values of A in descending order

If b is a matrix then x is also a matrix with corresponding columns.
If the rank of A is less than the number of columns of A or greater than
the number of rows, then residuals will be returned as an empty array
otherwise resids = sum((b-dot(A,x)**2).
Singular values less than s[0]*rcond are treated as zero.
"""
    return linalg.lstsq(a,b,rcond)

def singular_value_decomposition(A, full_matrices=0):
    return linalg.svd(A, full_matrices)