Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/version.py |
# THIS FILE IS GENERATED FROM SCIPY SETUP.PY
short_version = '1.1.0'
version = '1.1.0'
full_version = '1.1.0'
git_revision = '14142ff70d84a6ce74044a27919c850e893648f7'
release = True
if not release:
version = full_version
| 228 | 19.818182 | 57 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/__init__.py | """
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 ... | 4,260 | 33.362903 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/__config__.py | # This file is generated by /private/var/folders/bb/n7t3rs157850byt_jfdcq9k80000gn/T/pip-3to8_y5h-build/-c
# It contains system_info results at the time of building this package.
__all__ = ["get_info","show"]
openblas_lapack_info={}
lapack_mkl_info={}
atlas_3_10_threads_info={}
atlas_3_10_info={}
atlas_threads_info={}... | 1,381 | 38.485714 | 225 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/odepack.py | # Author: Travis Oliphant
from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
from . import _odepack
from copy import copy
import warnings
class ODEintWarning(Warning):
pass
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
... | 10,381 | 40.694779 | 102 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/setup.py | from __future__ import division, print_function, absolute_import
import os
from os.path import join
from scipy._build_utils import numpy_nodepr_api
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info
con... | 3,794 | 35.84466 | 73 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/quadrature.py | from __future__ import division, print_function, absolute_import
import numpy as np
import math
import warnings
# trapz is a public function for scipy.integrate,
# even though it's actually a numpy function.
from numpy import trapz
from scipy.special import roots_legendre
from scipy.special import gammaln
from scipy.... | 29,304 | 31.488914 | 103 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_bvp.py | """Boundary value problem solver."""
from __future__ import division, print_function, absolute_import
from warnings import warn
import numpy as np
from numpy.linalg import norm, pinv
from scipy.sparse import coo_matrix, csc_matrix
from scipy.sparse.linalg import splu
from scipy.optimize import OptimizeResult
EPS =... | 39,966 | 34.213216 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ode.py | # Authors: Pearu Peterson, Pauli Virtanen, John Travers
"""
First-order ODE integrators.
User-friendly interface to various numerical integrators for solving a
system of first order ODEs with prescribed initial conditions::
d y(t)[i]
--------- = f(t,y(t))[i],
d t
y(t=0)[i] = y0[i],
where::
... | 48,002 | 33.987609 | 90 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/__init__.py | """
=============================================
Integration and ODEs (:mod:`scipy.integrate`)
=============================================
.. currentmodule:: scipy.integrate
Integrating functions, given function object
============================================
.. autosummary::
:toctree: generated/
quad ... | 3,725 | 35.529412 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/quadpack.py | # Author: Travis Oliphant 2001
# Author: Nathan Woods 2013 (nquad &c)
from __future__ import division, print_function, absolute_import
import sys
import warnings
from functools import partial
from . import _quadpack
import numpy
from numpy import Inf
__all__ = ['quad', 'dblquad', 'tplquad', 'nquad', 'quad_explain',
... | 36,157 | 40.135381 | 468 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_bvp.py | from __future__ import division, print_function, absolute_import
import sys
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import numpy as np
from numpy.testing import (assert_, assert_array_equal, assert_allclose,
assert_equal)
from pytest import ra... | 15,523 | 27.021661 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/banded5x5.f | c banded5x5.f
c
c This Fortran library contains implementations of the
c differential equation
c dy/dt = A*y
c where A is a 5x5 banded matrix (see below for the actual
c values). These functions will be used to test
c scipy.integrate.odeint.
c
c The idea is to solve the system two ways: pure Fortra... | 6,668 | 26.672199 | 66 | f |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_quadpack.py | from __future__ import division, print_function, absolute_import
import sys
import math
import numpy as np
from numpy import sqrt, cos, sin, arctan, exp, log, pi, Inf
from numpy.testing import (assert_,
assert_allclose, assert_array_less, assert_almost_equal)
import pytest
from pytest import raises as assert_r... | 14,086 | 32.620525 | 86 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/_test_multivariate.c | #include <Python.h>
#include "math.h"
const double PI = 3.141592653589793238462643383279502884;
static double
_multivariate_typical(int n, double *args)
{
return cos(args[1] * args[0] - args[2] * sin(args[0])) / PI;
}
static double
_multivariate_indefinite(int n, double *args)
{
return -exp(-args[0]) * log(... | 2,305 | 15.35461 | 64 | c |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_quadrature.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import cos, sin, pi
from numpy.testing import assert_equal, \
assert_almost_equal, assert_allclose, assert_
from scipy._lib._numpy_compat import suppress_warnings
from scipy.integrate import (quadrature, romberg, romb, ... | 8,515 | 35.393162 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_ivp.py | from __future__ import division, print_function, absolute_import
from itertools import product
from numpy.testing import (assert_, assert_allclose,
assert_equal, assert_no_warnings)
from pytest import raises as assert_raises
from scipy._lib._numpy_compat import suppress_warnings
import numpy ... | 23,440 | 31.199176 | 91 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_odeint_jac.py |
import numpy as np
from numpy.testing import assert_equal, assert_allclose
from scipy.integrate import odeint
import scipy.integrate._test_odeint_banded as banded5x5
def rhs(y, t):
dydt = np.zeros_like(y)
banded5x5.banded5x5(t, y, dydt)
return dydt
def jac(y, t):
n = len(y)
jac = np.zeros((n, n... | 1,821 | 22.973684 | 71 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_integrate.py | # Authors: Nils Wagner, Ed Schofield, Pauli Virtanen, John Travers
"""
Tests for numerical integration.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import (arange, zeros, array, dot, sqrt, cos, sin, eye, pi, exp,
allclose)
from scipy._lib._nump... | 23,603 | 28.212871 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/tests/test_banded_ode_solvers.py |
from __future__ import division, print_function, absolute_import
import itertools
import numpy as np
from numpy.testing import assert_allclose
from scipy.integrate import ode
def _band_count(a):
"""Returns ml and mu, the lower and upper band sizes of a."""
nrows, ncols = a.shape
ml = 0
for k in rang... | 6,782 | 29.146667 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/radau.py | from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.linalg import lu_factor, lu_solve
from scipy.sparse import csc_matrix, issparse, eye
from scipy.sparse.linalg import splu
from scipy.optimize._numdiff import group_columns
from .common import (validate_max_step, validate_tol,... | 18,850 | 32.843806 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/base.py | from __future__ import division, print_function, absolute_import
import numpy as np
def check_arguments(fun, y0, support_complex):
"""Helper function for checking arguments common to all solvers."""
y0 = np.asarray(y0)
if np.issubdtype(y0.dtype, np.complexfloating):
if not support_complex:
... | 9,643 | 33.942029 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/lsoda.py | import numpy as np
from scipy.integrate import ode
from .common import validate_tol, warn_extraneous
from .base import OdeSolver, DenseOutput
class LSODA(OdeSolver):
"""Adams/BDF method with automatic stiffness detection and switching.
This is a wrapper to the Fortran solver from ODEPACK [1]_. It switches
... | 8,066 | 41.235602 | 84 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/ivp.py | from __future__ import division, print_function, absolute_import
import inspect
import numpy as np
from .bdf import BDF
from .radau import Radau
from .rk import RK23, RK45
from .lsoda import LSODA
from scipy.optimize import OptimizeResult
from .common import EPS, OdeSolution
from .base import OdeSolver
METHODS = {'RK... | 22,803 | 40.088288 | 86 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/bdf.py | from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.linalg import lu_factor, lu_solve
from scipy.sparse import issparse, csc_matrix, eye
from scipy.sparse.linalg import splu
from scipy.optimize._numdiff import group_columns
from .common import (validate_max_step, validate_tol,... | 16,579 | 35.043478 | 83 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/rk.py | from __future__ import division, print_function, absolute_import
import numpy as np
from .base import OdeSolver, DenseOutput
from .common import (validate_max_step, validate_tol, select_initial_step,
norm, warn_extraneous)
# Multiply steps computed from asymptotic behaviour of errors by this.
SAF... | 14,175 | 36.305263 | 107 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/common.py | from __future__ import division, print_function, absolute_import
from itertools import groupby
from warnings import warn
import numpy as np
from scipy.sparse import find, coo_matrix
EPS = np.finfo(float).eps
def validate_max_step(max_step):
"""Assert that max_Step is valid and return it."""
if max_step <= 0... | 14,332 | 32.884161 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/integrate/_ivp/__init__.py | """Suite of ODE solvers implemented in Python."""
from __future__ import division, print_function, absolute_import
from .ivp import solve_ivp
from .rk import RK23, RK45
from .radau import Radau
from .bdf import BDF
from .lsoda import LSODA
from .common import OdeSolution
from .base import DenseOutput, OdeSolver
| 314 | 27.636364 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/dia.py | """Sparse DIAgonal format"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['dia_matrix', 'isspmatrix_dia']
import numpy as np
from .base import isspmatrix, _formats, spmatrix
from .data import _data_matrix
from .sputils import (isshape, upcast_cha... | 13,942 | 32.118765 | 99 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/base.py | """Base class for sparse matrices"""
from __future__ import division, print_function, absolute_import
import sys
import numpy as np
from scipy._lib.six import xrange
from scipy._lib._numpy_compat import broadcast_to
from .sputils import (isdense, isscalarlike, isintlike,
get_sum_dtype, validate... | 41,182 | 32.811987 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/sparsetools.py | """
sparsetools is not a public module in scipy.sparse, but this file is
for backward compatibility if someone happens to use it.
"""
from numpy import deprecate
# This file shouldn't be imported by scipy --- Scipy code should use
# internally scipy.sparse._sparsetools
@deprecate(old_name="scipy.sparse.sparsetools",... | 716 | 24.607143 | 85 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csr.py | """Compressed Sparse Row matrix format"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['csr_matrix', 'isspmatrix_csr']
import numpy as np
from scipy._lib.six import xrange
from .base import spmatrix
from ._sparsetools import csr_tocsc, csr_tobs... | 16,486 | 32.646939 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/spfuncs.py | """ Functions that operate on sparse matrices
"""
from __future__ import division, print_function, absolute_import
__all__ = ['count_blocks','estimate_blocksize']
from .csr import isspmatrix_csr, csr_matrix
from .csc import isspmatrix_csc
from ._sparsetools import csr_count_blocks
def extract_diagonal(A):
rais... | 2,823 | 26.960396 | 74 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/generate_sparsetools.py | """
python generate_sparsetools.py
Generate manual wrappers for C++ sparsetools code.
Type codes used:
'i': integer scalar
'I': integer array
'T': data array
'B': boolean array
'V': std::vector<integer>*
'W': std::vector<data>*
'*': indicates that the next argument is an output arg... | 12,679 | 28.55711 | 103 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/compressed.py | """Base class for sparse matrix formats using compressed storage."""
from __future__ import division, print_function, absolute_import
__all__ = []
from warnings import warn
import operator
import numpy as np
from scipy._lib.six import zip as izip
from scipy._lib._util import _prune_array
from .base import spmatrix,... | 46,311 | 37.917647 | 102 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/setup.py | from __future__ import division, print_function, absolute_import
import os
import sys
import subprocess
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('sparse',parent_package,top_path)
config.add_data_dir('tests')
conf... | 2,185 | 32.630769 | 81 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/bsr.py | """Compressed Block Sparse Row matrix format"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['bsr_matrix', 'isspmatrix_bsr']
from warnings import warn
import numpy as np
from .data import _data_matrix, _minmax_mixin
from .compressed import _cs_m... | 24,364 | 33.658606 | 114 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/dok.py | """Dictionary Of Keys based matrix"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['dok_matrix', 'isspmatrix_dok']
import functools
import operator
import itertools
import numpy as np
from scipy._lib.six import zip as izip, xrange, iteritems, it... | 18,763 | 33.812616 | 90 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csc.py | """Compressed Sparse Column matrix format"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['csc_matrix', 'isspmatrix_csc']
import numpy as np
from .base import spmatrix
from ._sparsetools import csc_tocsr
from . import _sparsetools
from .sputils i... | 7,786 | 29.65748 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/extract.py | """Functions to extract parts of sparse matrices
"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['find', 'tril', 'triu']
from .coo import coo_matrix
def find(A):
"""Return the indices and values of the nonzero elements of a matrix
Par... | 4,713 | 26.406977 | 90 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/data.py | """Base class for sparse matrice with a .data attribute
subclasses must provide a _with_data() method that
creates a new matrix with the same sparsity pattern
as self but with a different data array
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from .base impor... | 12,708 | 31.012594 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/construct.py | """Functions to construct sparse matrices
"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['spdiags', 'eye', 'identity', 'kron', 'kronsum',
'hstack', 'vstack', 'bmat', 'rand', 'random', 'diags', 'block_diag']
import numpy as np
from sc... | 25,911 | 29.884386 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/_matrix_io.py | from __future__ import division, print_function, absolute_import
import sys
import numpy as np
import scipy.sparse
from scipy._lib._version import NumpyVersion
__all__ = ['save_npz', 'load_npz']
if NumpyVersion(np.__version__) >= '1.10.0':
# Make loading safe vs. malicious input
PICKLE_KWARGS = dict(allow_... | 5,547 | 34.113924 | 114 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/sputils.py | """ Utility functions for sparse matrix module
"""
from __future__ import division, print_function, absolute_import
import operator
import warnings
import numpy as np
__all__ = ['upcast', 'getdtype', 'isscalarlike', 'isintlike',
'isshape', 'issequence', 'isdense', 'ismatrix', 'get_sum_dtype']
supported_d... | 15,847 | 32.085595 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/__init__.py | """
=====================================
Sparse matrices (:mod:`scipy.sparse`)
=====================================
.. currentmodule:: scipy.sparse
SciPy 2-D sparse matrix package for numeric data.
Contents
========
Sparse matrix classes
---------------------
.. autosummary::
:toctree: generated/
bsr_matr... | 6,735 | 26.16129 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/coo.py | """ A sparse matrix in COOrdinate or 'triplet' format"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['coo_matrix', 'isspmatrix_coo']
from warnings import warn
import numpy as np
from scipy._lib.six import zip as izip
from ._sparsetools import c... | 21,427 | 34.301483 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/lil.py | """LInked List sparse matrix class
"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['lil_matrix','isspmatrix_lil']
from bisect import bisect_left
import numpy as np
from scipy._lib.six import xrange, zip
from .base import spmatrix, isspmatrix
fr... | 17,782 | 31.391621 | 87 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/setup.py | from __future__ import division, print_function, absolute_import
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('csgraph', parent_package, top_path)
config.add_data_dir('tests')
config.add_extension('_... | 933 | 27.30303 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/_validation.py | from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.sparse import csr_matrix, isspmatrix, isspmatrix_csc
from ._tools import csgraph_to_dense, csgraph_from_dense,\
csgraph_masked_from_dense, csgraph_from_masked
DTYPE = np.float64
def validate_graph(csgraph, directed, d... | 2,405 | 39.779661 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/_laplacian.py | """
Laplacian of a compressed-sparse graph
"""
# Authors: Aric Hagberg <hagberg@lanl.gov>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Jake Vanderplas <vanderplas@astro.washington.edu>
# License: BSD
from __future__ import division, print_function, absolute_import
import numpy as np
from scip... | 4,081 | 30.643411 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/__init__.py | r"""
==============================================================
Compressed Sparse Graph Routines (:mod:`scipy.sparse.csgraph`)
==============================================================
.. currentmodule:: scipy.sparse.csgraph
Fast graph algorithms based on sparse matrix representations.
Contents
========
..... | 7,086 | 38.592179 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_spanning_tree.py | """Test the minimum spanning tree function"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_
import numpy.testing as npt
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import minimum_spanning_tree
def test_minimum_spanning_tree():
... | 2,181 | 31.088235 | 74 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_conversions.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_array_almost_equal
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import csgraph_from_dense, csgraph_to_dense
def test_csgraph_from_dense():
np.random.seed(1234)
G = np.random.r... | 2,047 | 28.257143 | 73 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_graph_laplacian.py | # Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Jake Vanderplas <vanderplas@astro.washington.edu>
# License: BSD
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_allclose, assert_array_almost_equal
from pytest import raises as asser... | 4,388 | 31.036496 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_connected_components.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_equal, assert_array_almost_equal
from scipy.sparse import csgraph
def test_weak_connections():
Xde = np.array([[0, 1, 0],
[0, 0, 0],
[0, 0, 0]])
Xsp = ... | 3,265 | 31.019608 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_reordering.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_equal
from scipy.sparse.csgraph import (reverse_cuthill_mckee,
maximum_bipartite_matching, structural_rank)
from scipy.sparse import diags, csc_matrix, csr_matrix, coo_matrix
def test_graph_rev... | 4,190 | 33.352459 | 68 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_traversal.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_array_almost_equal
from scipy.sparse.csgraph import (breadth_first_tree, depth_first_tree,
csgraph_to_dense, csgraph_from_dense)
def test_graph_breadth_first():
csgraph = np.array([[0, 1, 2, 0... | 2,391 | 32.690141 | 71 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/test_shortest_path.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
from pytest import raises as assert_raises
from scipy.sparse.csgraph import (shortest_path, dijkstra, johnson,
bellman_ford, construct_dist_matrix, NegativeCyc... | 6,718 | 32.098522 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/csgraph/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_spfuncs.py | from __future__ import division, print_function, absolute_import
from numpy import array, kron, matrix, diag
from numpy.testing import assert_, assert_equal
from scipy.sparse import spfuncs
from scipy.sparse import csr_matrix, csc_matrix, bsr_matrix
from scipy.sparse._sparsetools import (csr_scale_rows, csr_scale_col... | 3,319 | 32.2 | 86 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_sputils.py | """unit tests for sparse utility functions"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_equal, assert_raises
from pytest import raises as assert_raises
from scipy.sparse import sputils
from scipy._lib._numpy_compat import suppress_warnings
c... | 5,967 | 37.753247 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_extract.py | """test sparse matrix construction functions"""
from __future__ import division, print_function, absolute_import
from numpy.testing import assert_equal
from scipy.sparse import csr_matrix
import numpy as np
from scipy.sparse import extract
class TestExtract(object):
def setup_method(self):
self.cases =... | 1,383 | 29.755556 | 75 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_csr.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_
from scipy.sparse import csr_matrix
def _check_csr_rowslice(i, sl, X, Xcsr):
np_slice = X[i, sl]
csr_slice = Xcsr[i, sl]
assert_array_almost_equal(np_slice, csr... | 1,424 | 22.360656 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_construct.py | """test sparse matrix construction functions"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import array, matrix
from numpy.testing import (assert_equal, assert_,
assert_array_equal, assert_array_almost_equal_nulp)
import pytest
from pytest import raises as a... | 20,293 | 41.191268 | 107 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_matrix_io.py | from __future__ import division, print_function, absolute_import
import sys
import os
import numpy as np
import tempfile
import pytest
from pytest import raises as assert_raises
from numpy.testing import assert_equal, assert_
from scipy._lib._version import NumpyVersion
from scipy.sparse import (csc_matrix, csr_matr... | 2,823 | 29.042553 | 85 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_sparsetools.py | from __future__ import division, print_function, absolute_import
import sys
import os
import gc
import re
import threading
import numpy as np
from numpy.testing import assert_equal, assert_, assert_allclose
from scipy.sparse import (_sparsetools, coo_matrix, csr_matrix, csc_matrix,
bsr_matri... | 10,136 | 29.905488 | 95 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_base.py | #
# Authors: Travis Oliphant, Ed Schofield, Robert Cimrman, Nathan Bell, and others
""" Test functions for sparse matrices. Each class in the "Matrix class
based tests" section become subclasses of the classes in the "Generic
tests" section. This is done by the functions in the "Tailored base
class for generic tests" ... | 169,470 | 35.666162 | 122 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/tests/test_csc.py | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_
from scipy.sparse import csr_matrix, csc_matrix
def test_csc_getrow():
N = 10
np.random.seed(0)
X = np.random.random((N, N))
X[X > 0.7] = 0
Xcsc = csc_m... | 859 | 22.243243 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/_expm_multiply.py | """Compute the action of the matrix exponential.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
import scipy.linalg
import scipy.sparse.linalg
from scipy.sparse.linalg import LinearOperator, aslinearoperator
__all__ = ['expm_multiply']
def _exact_inf_norm(A):
# A compa... | 21,565 | 29.633523 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/setup.py | from __future__ import division, print_function, absolute_import
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('linalg',parent_package,top_path)
config.add_subpackage(('isolve'))
config.add_subpackage(('dsolve'))
co... | 525 | 24.047619 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/matfuncs.py | """
Sparse matrix functions
"""
#
# Authors: Travis Oliphant, March 2002
# Anthony Scopatz, August 2012 (Sparse Updates)
# Jake Vanderplas, August 2012 (Sparse Updates)
#
from __future__ import division, print_function, absolute_import
__all__ = ['expm', 'inv']
import math
import numpy as np
imp... | 26,961 | 30.206019 | 93 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/_norm.py | """Sparse matrix norms.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.sparse import issparse
from numpy.core import Inf, sqrt, abs
__all__ = ['norm']
def _sparse_frobenius_norm(x):
if np.issubdtype(x.dtype, np.complexfloating):
sqnorm = abs(x).power... | 5,867 | 30.718919 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/_onenormest.py | """Sparse block 1-norm estimator.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.sparse.linalg import aslinearoperator
__all__ = ['onenormest']
def onenormest(A, t=2, itmax=5, compute_v=False, compute_w=False):
"""
Compute a lower bound of the 1-norm of ... | 15,529 | 32.113006 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/__init__.py | """
==================================================
Sparse linear algebra (:mod:`scipy.sparse.linalg`)
==================================================
.. currentmodule:: scipy.sparse.linalg
Abstract linear operators
-------------------------
.. autosummary::
:toctree: generated/
LinearOperator -- abstra... | 3,482 | 26.210938 | 84 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/interface.py | """Abstract linear algebra library.
This module defines a class hierarchy that implements a kind of "lazy"
matrix representation, called the ``LinearOperator``. It can be used to do
linear algebra with extremely large sparse or structured matrices, without
representing those explicitly in memory. Such matrices can be ... | 21,661 | 29.901569 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/setup.py | from __future__ import division, print_function, absolute_import
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('eigen',parent_package,top_path)
config.add_subpackage(('arpack'))
config.add_subpackage(('lobpcg'))
re... | 453 | 24.222222 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/__init__.py | """
Sparse Eigenvalue Solvers
-------------------------
The submodules of sparse.linalg.eigen:
1. lobpcg: Locally Optimal Block Preconditioned Conjugate Gradient Method
"""
from __future__ import division, print_function, absolute_import
from .arpack import *
from .lobpcg import *
__all__ = [s for s in dir() if... | 439 | 22.157895 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/setup.py | from __future__ import division, print_function, absolute_import
from os.path import join
def configuration(parent_package='',top_path=None):
from numpy.distutils.system_info import get_info, NotFoundError
from numpy.distutils.misc_util import Configuration
from scipy._build_utils import get_g77_abi_wrap... | 1,407 | 29.608696 | 70 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/__init__.py | """
Eigenvalue solver using iterative methods.
Find k eigenvectors and eigenvalues of a matrix A using the
Arnoldi/Lanczos iterative methods from ARPACK [1]_,[2]_.
These methods are most useful for large sparse matrices.
- eigs(A,k)
- eigsh(A,k)
References
----------
.. [1] ARPACK Software, http://www.caam.rice... | 628 | 26.347826 | 71 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py | """
Find a few eigenvectors and eigenvalues of a matrix.
Uses ARPACK: http://www.caam.rice.edu/software/ARPACK/
"""
# Wrapper implementation notes
#
# ARPACK Entry Points
# -------------------
# The entry points to ARPACK are
# - (s,d)seupd : single and double precision symmetric matrix
# - (s,d,c,z)neupd: single,do... | 72,877 | 38.055734 | 98 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py | from __future__ import division, print_function, absolute_import
__usage__ = """
To run tests locally:
python tests/test_arpack.py [-l<int>] [-v<int>]
"""
import threading
import numpy as np
from numpy.testing import (assert_allclose, assert_array_almost_equal_nulp,
assert_equal, asser... | 31,498 | 31.60766 | 110 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py | """
Pure SciPy implementation of Locally Optimal Block Preconditioned Conjugate
Gradient Method (LOBPCG), see
https://bitbucket.org/joseroman/blopex
License: BSD
Authors: Robert Cimrman, Andrew Knyazev
Examples in tests directory contributed by Nils Wagner.
"""
from __future__ import division, print_function, absol... | 19,289 | 32.901582 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/setup.py | from __future__ import division, print_function, absolute_import
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('lobpcg',parent_package,top_path)
config.add_data_dir('tests')
return config
if __name__ == '__main__':
... | 410 | 24.6875 | 64 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/__init__.py | """
Locally Optimal Block Preconditioned Conjugate Gradient Method (LOBPCG)
LOBPCG is a preconditioned eigensolver for large symmetric positive definite
(SPD) generalized eigenproblems.
Call the function lobpcg - see help for lobpcg.lobpcg.
"""
from __future__ import division, print_function, absolute_import
from .... | 486 | 24.631579 | 76 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/tests/test_lobpcg.py | """ Test functions for the sparse.linalg.eigen.lobpcg module
"""
from __future__ import division, print_function, absolute_import
import itertools
import numpy as np
from numpy.testing import (assert_almost_equal, assert_equal,
assert_allclose, assert_array_less, assert_)
from scipy import ones, rand, r_, di... | 6,709 | 28.173913 | 99 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/tests/test_norm.py | """Test functions for the sparse.linalg.norm module
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.linalg import norm as npnorm
from numpy.testing import assert_equal, assert_allclose
from pytest import raises as assert_raises
from scipy._lib._version import NumpyV... | 5,486 | 41.867188 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/tests/test_matfuncs.py | #
# Created by: Pearu Peterson, March 2002
#
""" Test functions for scipy.linalg.matfuncs module
"""
from __future__ import division, print_function, absolute_import
import math
import numpy as np
from numpy import array, eye, exp, random
from numpy.linalg import matrix_power
from numpy.testing import (
asse... | 19,937 | 35.449726 | 91 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/tests/test_interface.py | """Test functions for the sparse.linalg.interface module
"""
from __future__ import division, print_function, absolute_import
from functools import partial
from itertools import product
import operator
import pytest
from pytest import raises as assert_raises
from numpy.testing import assert_, assert_equal
import num... | 13,030 | 35.707042 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/tests/test_onenormest.py | """Test functions for the sparse.linalg._onenormest module
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_allclose, assert_equal, assert_
import pytest
import scipy.linalg
import scipy.sparse.linalg
from scipy.sparse.linalg._onenormest import _... | 9,311 | 35.517647 | 88 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/tests/test_expm_multiply.py | """Test functions for the sparse.linalg._expm_multiply module
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_allclose, assert_, assert_equal
from scipy._lib._numpy_compat import suppress_warnings
from scipy.sparse import SparseEfficiencyWarnin... | 9,658 | 36.878431 | 101 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/lsqr.py | """Sparse Equations and Least Squares.
The original Fortran code was written by C. C. Paige and M. A. Saunders as
described in
C. C. Paige and M. A. Saunders, LSQR: An algorithm for sparse linear
equations and sparse least squares, TOMS 8(1), 43--71 (1982).
C. C. Paige and M. A. Saunders, Algorithm 583; LSQR: Sparse... | 19,988 | 34.130053 | 84 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/setup.py | from __future__ import division, print_function, absolute_import
from os.path import join
def configuration(parent_package='',top_path=None):
from numpy.distutils.system_info import get_info, NotFoundError
from numpy.distutils.misc_util import Configuration
from scipy._build_utils import get_g77_abi_wrap... | 1,368 | 27.520833 | 67 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/iterative.py | """Iterative methods for solving linear systems"""
from __future__ import division, print_function, absolute_import
__all__ = ['bicg','bicgstab','cg','cgs','gmres','qmr']
import warnings
import numpy as np
from . import _iterative
from scipy.sparse.linalg.interface import LinearOperator
from scipy._lib.decorator i... | 24,841 | 31.903311 | 89 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/utils.py | from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = []
from warnings import warn
from numpy import asanyarray, asarray, asmatrix, array, matrix, zeros
from scipy.sparse.linalg.interface import aslinearoperator, LinearOperator, \
IdentityOperator
_c... | 3,363 | 26.129032 | 81 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/minres.py | from __future__ import division, print_function, absolute_import
from numpy import sqrt, inner, finfo, zeros
from numpy.linalg import norm
from .utils import make_system
__all__ = ['minres']
def minres(A, b, x0=None, shift=0.0, tol=1e-5, maxiter=None,
M=None, callback=None, show=False, check=False):
... | 10,413 | 27.688705 | 85 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/lgmres.py | # Copyright (C) 2009, Pauli Virtanen <pav@iki.fi>
# Distributed under the same license as Scipy.
from __future__ import division, print_function, absolute_import
import warnings
import numpy as np
from numpy.linalg import LinAlgError
from scipy._lib.six import xrange
from scipy.linalg import get_blas_funcs, get_lapac... | 8,842 | 36.95279 | 85 | py |