first commit

.gitignore

+# Compiled source #
+###################
+*.com
+*.class
+*.dll
+*.exe
+*.o
+*.so
+*.a
+*.mexmaci64
+*.mexa64
+
+# Packages #
+############
+# it's better to unpack these files and commit the raw source
+# git has its own built in compression methods
+*.7z
+*.dmg
+*.gz
+*.iso
+*.jar
+*.rar
+*.tar
+*.zip
+
+# Logs and databases #
+######################
+*.log
+*.sql
+*.sqlite
+
+# OS generated files #
+######################
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Backup files #
+################
+*~
+*.bkup
+*.old
+
+# Directories #
+###############
+build/
+doc/_*
+.svn/
+.settings/
+.ipynb_checkpoints/
+
+# Eclipse files #
+#################
+
+.project
+.pydevproject
+
+# python codebytes files #
+##########################
+
+*.pyc
+
+# Binaries #
+############
+
+bin/*
+
+# Others #
+##########
+
+.coverage
+.cache
+skgilearn.egg-info/*
+htmlcov/
+doc/_build/
+doc/_static/
+doc/_template/
+*.bat
+*.pkl
+MANIFEST
+scikit_gilearn.egg-info/
+scikit_splearn.egg-info/*
+.idea/

AUTHORS.rst

+.. -*- mode: rst -*-
+
+History
+-------
+
+People
+------
+
+.. hlist::
+
+  * François Denis
+
+  * Rémi Eyraud
+
+  * Denis Arrivault
+
+  * Dominique Benielli

COPYING

+New BSD License
+
+Copyright (c) DATE, The SCIKIT-SPLEARN developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+  a. Redistributions of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+  b. Redistributions in binary form must reproduce the above copyright
+     notice, this list of conditions and the following disclaimer in the
+     documentation and/or other materials provided with the distribution.
+  c. Neither the name of the scikit-splearn developers nor the names of
+     its contributors may be used to endorse or promote products
+     derived from this software without specific prior written
+     permission.
+
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.
\ No newline at end of file

HISTORY.rst

+.. :changelog:
+
+History
+=======
+
+1.0.0 (2016-06-30)
+------------------
+First version
+
+1.0.1 (2016-10-07)
+------------------
+Bug setup correction
\ No newline at end of file

MANIFEST.in

+recursive-include doc *.rst *.py *.png *.bib
+prune splearn/tests
+include *.txt
+include *.rst
+include VERSION
+exclude tests_results.txt
+exclude requirements*
+exclude copyright*

README.rst

+The **SCIKIT-SPLEARN** package is a  Python tool of the
+`Scikit-Spectral Learning (scikit-splearn)
+<http://splearning.sourceforge.net/>`_, scikit-splearn is a toolbox in
+python for spectral learning algorithms.
+
+scikit-splearn is a sckit compatible SP2Learning toolbox.
+scikit-splearn is a toolbox in python for spectral learning algorithms.
+These algorithms aim at learning Weighted Automata (WA) using what is
+named a Hankel matrix.
+The toolbow thus provides also a class for WA (with a bunch of usefull
+ methods), another one for Hankel matrix, and a class for loading
+ data and/or automata, and a class Sample that allows the storage of the
+ data in a usefull dictionnary form. As WA are a generalisation of
+ classical Probabilistic Automaton, everything works for these simpler
+  models.
+The core of the learning algorithms is to compute a singular values
+decomposition of the Hankel matrix and then to construct the weighted
+automata from the elements of the decomposition. This is done in the
+class Learning.
+In its classic version, the rows of the Hankel matrix are prefixes while
+its columns are suffixes. Each cell contains then the probability of the
+sequence starting with the corresponding prefix and ending with the
+corresponding suffix. In the case of learning, the cells contain
+observed frequencies. scikit-splearn provides other versions, where each
+cell contains the probability that the corresponding sequence is prefix,
+a suffix, or a factor.
+Formally, the Hankel matrix is bi-infinite. Hence, in case of learning,
+ one has to concentrate on a finite portion. The parameters lrows and
+ lcolumn allows to specified which subsequences are taken into account
+ as rows and columns of the finite matrix. If, instead of a list,
+ an integer is provided, the finite matrix will have all rows and
+ columns that correspond to subsequences up to these given lengths.
+The learning method requires also the information about the rank of
+the matrix. This rank corresponds to the number of states of a minimal
+ WA computing the matrix (in case of learning, this is the estimated
+ number of states of the target automaton). There is no easy way to
+ evaluate the rank, a cross-validation approach is usually used to find
+ the best possible value.
+
+Finally, splearn provides 2 ways to store the Hankel matrix:
+a classical one as an array, and a sparse version using scipy.sparse.
+
+
+
+The original scikit-splearn Toolbox is developed in Python at
+`LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_, as a
+`LIF <http://www.lif.univ-mrs.fr/>`_ and I2M
+project, Aix-Marseille Université.
+
+This package, as well as the scikit-splearn toolbox, is Free software,
+released under  BSD License.
+
+The latest version of **scikit-splearn** can be downloaded
+from the following
+`PyPI page `pythonhosted site <http://pythonhosted.org/scikit-splearn/>`_.
+
+The documentation is available as a
+`pythonhosted site <http://pythonhosted.org/scikit-splearn/>`_.
+
+`gitlab project <https://gitlab.lif.univ-mrs.fr/dominique.benielli/scikit-splearn>`_,
+ which provides the git repository managing the source code and where
+ issues can be reported.
+

VERSION

+splearn:1.0.1
\ No newline at end of file

copyright.py

+# -*- coding: utf-8 -*-
+from __future__ import print_function, division
+import time
+import os
+import sys
+import fileinput
+
+
+def findFiles(directory, files=[]):
+    """scan a directory for py, pyx, pxd extension files."""
+    for filename in os.listdir(directory):
+        path = os.path.join(directory, filename)
+        if os.path.isfile(path) and (path.endswith(".py") or
+                                     path.endswith(".pyx") or
+                                     path.endswith(".pxd")):
+            if filename != "__init__.py" and filename != "version.py":
+                files.append(path)
+        elif os.path.isdir(path):
+            findFiles(path, files)
+    return files
+
+
+def fileUnStamping(filename):
+    """ Remove stamp from a file """
+    is_stamp = False
+    for line in fileinput.input(filename, inplace=1):
+        if line.find("# COPYRIGHT #") != -1:
+            is_stamp = not is_stamp
+        elif not is_stamp:
+            print(line, end="")
+
+
+def fileStamping(filename, stamp):
+    """ Write a stamp on a file
+
+    WARNING : The stamping must be done on an default utf8 machine !
+    """
+    old_stamp = False  # If a copyright already exist over write it.
+    for line in fileinput.input(filename, inplace=1):
+        if line.find("# COPYRIGHT #") != -1:
+            old_stamp = not old_stamp
+        elif line.startswith("# -*- coding: utf-8 -*-"):
+            print(line, end="")
+            print(stamp)
+        elif not old_stamp:
+            print(line, end="")
+
+
+def getStamp(date, scikit_splearn_version):
+    """ Return the corrected formated stamp """
+    stamp = open("copyrightstamp.txt").read()
+    stamp = stamp.replace("DATE", date)
+    stamp = stamp.replace("SCIKIT-SPLEARN_VERSION", scikit_splearn_version)
+    stamp = stamp.replace('\n', '\n# ')
+    stamp = "# " + stamp
+    stamp = stamp.replace("# \n", "#\n")
+    return stamp.strip()
+
+
+def getVersionsAndDate():
+    """ Return (date, SP2Learning_version) """
+    v_text = open('VERSION').read().strip()
+    v_text_formted = '{"' + v_text.replace('\n', '","').replace(':', '":"')
+    v_text_formted += '"}'
+    v_dict = eval(v_text_formted)
+    return (time.strftime("%Y"), v_dict['splearn'])
+
+
+def writeStamp():
+    """ Write a copyright stamp on all files """
+    stamp = getStamp(*getVersionsAndDate())
+    files = findFiles(os.path.join(os.path.dirname(os.path.abspath(__file__)),
+                                   "splearn"))
+    for filename in files:
+        fileStamping(filename, stamp)
+    fileStamping("setup.py", stamp)
+
+
+def eraseStamp():
+    """ Erase a copyright stamp from all files """
+    files = findFiles(os.path.join(os.path.dirname(os.path.abspath(__file__)),
+                                   "splearn"))
+    for filename in files:
+        fileUnStamping(filename)
+    fileUnStamping("setup.py")
+
+
+def usage(arg):
+    print("Usage :")
+    print("\tpython %s stamping" % arg)
+    print("\tpython %s unstamping" % arg)
+
+
+if __name__ == "__main__":
+    if len(sys.argv) == 1:
+        usage(sys.argv[0])
+    elif len(sys.argv) == 2:
+        if sys.argv[1].startswith("unstamping"):
+            eraseStamp()
+        elif sys.argv[1].startswith("stamping"):
+            writeStamp()
+        else:
+            usage(sys.argv[0])
+    else:
+        usage(sys.argv[0])

copyrightstamp.txt

+######### COPYRIGHT #########
+
+Copyright(c) DATE
+-----------------
+
+* LabEx Archimède: http://labex-archimede.univ-amu.fr/
+* Laboratoire d'Informatique Fondamentale : http://www.lif.univ-mrs.fr/
+
+Contributors:
+------------
+
+* François Denis <francois.denis_AT_lif.univ-mrs.fr>
+* Rémy Eyraud <remy.eyraud_AT_lif.univ-mrs.fr>
+* Denis Arrivault <contact.dev_AT_lif.univ-mrs.fr>
+* Dominique Benielli <dominique.benielli_AT_univ-amu.fr>
+
+Description:
+-----------
+
+scitkit-splearn is a toolbox in
+python for spectral learning algorithms.
+
+Version:
+-------
+
+* splearn version = SCIKIT-SPLEARN_VERSION
+
+Licence:
+-------
+
+License: 3-clause BSD
+
+
+######### COPYRIGHT #########
\ No newline at end of file

dist/scikit-splearn-1.0.1/AUTHORS.rst

+.. -*- mode: rst -*-
+
+History
+-------
+
+People
+------
+
+.. hlist::
+
+  * François Denis
+
+  * Rémi Eyraud
+
+  * Denis Arrivault
+
+  * Dominique Benielli

dist/scikit-splearn-1.0.1/HISTORY.rst

+.. :changelog:
+
+History
+=======
+
+1.0.0 (2016-06-30)
+------------------
+First version
+
+1.0.1 (2016-10-07)
+------------------
+Bug setup correction
\ No newline at end of file

dist/scikit-splearn-1.0.1/PKG-INFO

+Metadata-Version: 1.1
+Name: scikit-splearn
+Version: 1.0.1
+Summary: Python module for spectral learning of weighted automata
+Home-page: https://gitlab.lif.univ-mrs.fr/dominique.benielli/scikit-splearn.git
+Author: François Denis and Rémi Eyraud and Denis Arrivault and Dominique Benielli
+Author-email: francois.denis@lif.univ-mrs.fr remi.eyraud[A]lif.uni-mrs.fr.antispamdenis.arrivault@lif.univ-mrs.fr dominique.benielli@univ-amu.fr 
+License: new BSD
+Description: The **SCIKIT-SPLEARN** package is a  Python tool of the
+        `Scikit-Spectral Learning (scikit-splearn)
+        <http://splearning.sourceforge.net/>`_, scikit-splearn is a toolbox in
+        python for spectral learning algorithms.
+        
+        scikit-splearn is a sckit compatible SP2Learning toolbox.
+        scikit-splearn is a toolbox in python for spectral learning algorithms.
+        These algorithms aim at learning Weighted Automata (WA) using what is
+        named a Hankel matrix.
+        The toolbow thus provides also a class for WA (with a bunch of usefull
+         methods), another one for Hankel matrix, and a class for loading
+         data and/or automata, and a class Sample that allows the storage of the
+         data in a usefull dictionnary form. As WA are a generalisation of
+         classical Probabilistic Automaton, everything works for these simpler
+          models.
+        The core of the learning algorithms is to compute a singular values
+        decomposition of the Hankel matrix and then to construct the weighted
+        automata from the elements of the decomposition. This is done in the
+        class Learning.
+        In its classic version, the rows of the Hankel matrix are prefixes while
+        its columns are suffixes. Each cell contains then the probability of the
+        sequence starting with the corresponding prefix and ending with the
+        corresponding suffix. In the case of learning, the cells contain
+        observed frequencies. scikit-splearn provides other versions, where each
+        cell contains the probability that the corresponding sequence is prefix,
+        a suffix, or a factor.
+        Formally, the Hankel matrix is bi-infinite. Hence, in case of learning,
+         one has to concentrate on a finite portion. The parameters lrows and
+         lcolumn allows to specified which subsequences are taken into account
+         as rows and columns of the finite matrix. If, instead of a list,
+         an integer is provided, the finite matrix will have all rows and
+         columns that correspond to subsequences up to these given lengths.
+        The learning method requires also the information about the rank of
+        the matrix. This rank corresponds to the number of states of a minimal
+         WA computing the matrix (in case of learning, this is the estimated
+         number of states of the target automaton). There is no easy way to
+         evaluate the rank, a cross-validation approach is usually used to find
+         the best possible value.
+        
+        Finally, splearn provides 2 ways to store the Hankel matrix:
+        a classical one as an array, and a sparse version using scipy.sparse.
+        
+        
+        
+        The original scikit-splearn Toolbox is developed in Python at
+        `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_, as a
+        `LIF <http://www.lif.univ-mrs.fr/>`_ and I2M
+        project, Aix-Marseille Université.
+        
+        This package, as well as the scikit-splearn toolbox, is Free software,
+        released under  BSD License.
+        
+        The latest version of **scikit-splearn** can be downloaded
+        from the following
+        `PyPI page `pythonhosted site <http://pythonhosted.org/scikit-splearn/>`_.
+        
+        The documentation is available as a
+        `pythonhosted site <http://pythonhosted.org/scikit-splearn/>`_.
+        
+        `gitlab project <https://gitlab.lif.univ-mrs.fr/dominique.benielli/scikit-splearn>`_,
+         which provides the git repository managing the source code and where
+         issues can be reported.
+        
+        
+        
+        .. :changelog:
+        
+        History
+        =======
+        
+        1.0.0 (2016-06-30)
+        ------------------
+        First version
+        
+        1.0.1 (2016-10-07)
+        ------------------
+        Bug setup correction
+        
+        .. -*- mode: rst -*-
+        
+        History
+        -------
+        
+        People
+        ------
+        
+        .. hlist::
+        
+          * François Denis
+        
+          * Rémi Eyraud
+        
+          * Denis Arrivault
+        
+          * Dominique Benielli
+        
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Science/Research
+Classifier: Intended Audience :: Developers
+Classifier: Natural Language :: English
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: MacOS :: MacOS X
+Classifier: Operating System :: POSIX :: Linux
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Topic :: Scientific/Engineering
+Classifier: Topic :: Scientific/Engineering :: Mathematics

dist/scikit-splearn-1.0.1/README.rst

+The **SCIKIT-SPLEARN** package is a  Python tool of the
+`Scikit-Spectral Learning (scikit-splearn)
+<http://splearning.sourceforge.net/>`_, scikit-splearn is a toolbox in
+python for spectral learning algorithms.
+
+scikit-splearn is a sckit compatible SP2Learning toolbox.
+scikit-splearn is a toolbox in python for spectral learning algorithms.
+These algorithms aim at learning Weighted Automata (WA) using what is
+named a Hankel matrix.
+The toolbow thus provides also a class for WA (with a bunch of usefull
+ methods), another one for Hankel matrix, and a class for loading
+ data and/or automata, and a class Sample that allows the storage of the
+ data in a usefull dictionnary form. As WA are a generalisation of
+ classical Probabilistic Automaton, everything works for these simpler
+  models.
+The core of the learning algorithms is to compute a singular values
+decomposition of the Hankel matrix and then to construct the weighted
+automata from the elements of the decomposition. This is done in the
+class Learning.
+In its classic version, the rows of the Hankel matrix are prefixes while
+its columns are suffixes. Each cell contains then the probability of the
+sequence starting with the corresponding prefix and ending with the
+corresponding suffix. In the case of learning, the cells contain
+observed frequencies. scikit-splearn provides other versions, where each
+cell contains the probability that the corresponding sequence is prefix,
+a suffix, or a factor.
+Formally, the Hankel matrix is bi-infinite. Hence, in case of learning,
+ one has to concentrate on a finite portion. The parameters lrows and
+ lcolumn allows to specified which subsequences are taken into account
+ as rows and columns of the finite matrix. If, instead of a list,
+ an integer is provided, the finite matrix will have all rows and
+ columns that correspond to subsequences up to these given lengths.
+The learning method requires also the information about the rank of
+the matrix. This rank corresponds to the number of states of a minimal
+ WA computing the matrix (in case of learning, this is the estimated
+ number of states of the target automaton). There is no easy way to
+ evaluate the rank, a cross-validation approach is usually used to find
+ the best possible value.
+
+Finally, splearn provides 2 ways to store the Hankel matrix:
+a classical one as an array, and a sparse version using scipy.sparse.
+
+
+
+The original scikit-splearn Toolbox is developed in Python at
+`LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_, as a
+`LIF <http://www.lif.univ-mrs.fr/>`_ and I2M
+project, Aix-Marseille Université.
+
+This package, as well as the scikit-splearn toolbox, is Free software,
+released under  BSD License.
+
+The latest version of **scikit-splearn** can be downloaded
+from the following
+`PyPI page `pythonhosted site <http://pythonhosted.org/scikit-splearn/>`_.
+
+The documentation is available as a
+`pythonhosted site <http://pythonhosted.org/scikit-splearn/>`_.
+
+`gitlab project <https://gitlab.lif.univ-mrs.fr/dominique.benielli/scikit-splearn>`_,
+ which provides the git repository managing the source code and where
+ issues can be reported.
+

dist/scikit-splearn-1.0.1/VERSION

+splearn:1.0.1
\ No newline at end of file

dist/scikit-splearn-1.0.1/doc/automaton.rst

+automaton module
+================
+
+.. automodule:: automaton
+    :members:
+    :undoc-members:
+    :show-inheritance:

dist/scikit-splearn-1.0.1/doc/conf.py

+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+#
+# scikit-splearn documentation build configuration file, created by
+# sphinx-quickstart on Fri Nov  6 17:21:52 2015.
+#
+# This file is execfile()d with the current directory set to its
+# containing dir.
+#
+# Note that not all possible configuration values are present in this
+# autogenerated file.
+#
+# All configuration values have a default; values that are commented out
+# serve to show the default.
+
+import sys
+import os
+import shlex
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+sys.path.insert(0, os.path.abspath('../splearn'))
+
+# -- General configuration ------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#needs_sphinx = '1.0'
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    'sphinx.ext.autodoc',
+    'sphinx.ext.imgmath'
+]
+
+# Add any paths that contain templates here, relative to this directory.
+# templates_path = ['_templates']
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+# source_suffix = ['.rst', '.md']
+source_suffix = '.rst'
+
+# The encoding of source files.
+#source_encoding = 'utf-8-sig'
+
+# The master toctree document.
+master_doc = 'index'
+
+# General information about the project.
+project = 'scikit-splearn'
+copyright = '2016, François Denis, Rémi Eyraud and Denis Arrivault and Dominique Benielli'
+author = 'François Denis, Rémi Eyraud and Denis Arrivault and Dominique Benielli'
+
+# The version info for the project you're documenting, acts as replacement for
+# |version| and |release|, also used in various other places throughout the
+# built documents.
+#
+# The short X.Y version.
+version = '1'
+# The full version, including alpha/beta/rc tags.
+release = '0'
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = None
+
+# There are two options for replacing |today|: either, you set today to some
+# non-false value, then it is used:
+#today = ''
+# Else, today_fmt is used as the format for a strftime call.
+#today_fmt = '%B %d, %Y'
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# exclude_patterns = ['_build']
+
+# The reST default role (used for this markup: `text`) to use for all
+# documents.
+#default_role = None
+
+# If true, '()' will be appended to :func: etc. cross-reference text.
+#add_function_parentheses = True
+
+# If true, the current module name will be prepended to all description
+# unit titles (such as .. function::).
+#add_module_names = True
+
+# If true, sectionauthor and moduleauthor directives will be shown in the
+# output. They are ignored by default.
+#show_authors = False
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = 'sphinx'
+
+# A list of ignored prefixes for module index sorting.
+#modindex_common_prefix = []
+
+# If true, keep warnings as "system message" paragraphs in the built documents.
+#keep_warnings = False
+
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = False
+
+
+# -- Options for HTML output ----------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+html_theme = 'alabaster'
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+#html_theme_options = {}
+
+# Add any paths that contain custom themes here, relative to this directory.
+#html_theme_path = []
+
+# The name for this set of Sphinx documents.  If None, it defaults to
+# "<project> v<release> documentation".
+#html_title = None
+
+# A shorter title for the navigation bar.  Default is the same as html_title.
+#html_short_title = None
+
+# The name of an image file (relative to this directory) to place at the top
+# of the sidebar.
+#html_logo = None
+
+# The name of an image file (within the static path) to use as favicon of the
+# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
+# pixels large.
+#html_favicon = None
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+# html_static_path = ['_static']
+
+# Add any extra paths that contain custom files (such as robots.txt or
+# .htaccess) here, relative to this directory. These files are copied
+# directly to the root of the documentation.
+#html_extra_path = []
+
+# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
+# using the given strftime format.
+#html_last_updated_fmt = '%b %d, %Y'
+
+# If true, SmartyPants will be used to convert quotes and dashes to
+# typographically correct entities.
+#html_use_smartypants = True
+
+# Custom sidebar templates, maps document names to template names.
+#html_sidebars = {}
+
+# Additional templates that should be rendered to pages, maps page names to
+# template names.
+#html_additional_pages = {}
+
+# If false, no module index is generated.
+#html_domain_indices = True
+
+# If false, no index is generated.
+#html_use_index = True
+
+# If true, the index is split into individual pages for each letter.
+#html_split_index = False
+
+# If true, links to the reST sources are added to the pages.
+#html_show_sourcelink = True
+
+# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
+#html_show_sphinx = True
+
+# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
+#html_show_copyright = True
+
+# If true, an OpenSearch description file will be output, and all pages will
+# contain a <link> tag referring to it.  The value of this option must be the
+# base URL from which the finished HTML is served.
+#html_use_opensearch = ''
+
+# This is the file name suffix for HTML files (e.g. ".xhtml").
+#html_file_suffix = None
+
+# Language to be used for generating the HTML full-text search index.
+# Sphinx supports the following languages:
+#   'da', 'de', 'en', 'es', 'fi', 'fr', 'h', 'it', 'ja'
+#   'nl', 'no', 'pt', 'ro', 'r', 'sv', 'tr'
+#html_search_language = 'en'
+
+# A dictionary with options for the search language support, empty by default.
+# Now only 'ja' uses this config value
+#html_search_options = {'type': 'default'}
+
+# The name of a javascript file (relative to the configuration directory) that
+# implements a search results scorer. If empty, the default will be used.
+#html_search_scorer = 'scorer.js'
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = 'scikit-splearndoc'
+
+# -- Options for LaTeX output ---------------------------------------------
+
+latex_elements = {
+# The paper size ('letterpaper' or 'a4paper').
+#'papersize': 'letterpaper',
+
+# The font size ('10pt', '11pt' or '12pt').
+#'pointsize': '10pt',
+
+# Additional stuff for the LaTeX preamble.
+#'preamble': '',
+
+# Latex figure (float) alignment
+#'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+  (master_doc, 'scikit-splearn.tex', 'scikit splearn Documentation',
+   'François Denis, Rémi Eyraud, Denis Arrivault and dominique Benielli',
+   'manual'),
+]
+
+# The name of an image file (relative to this directory) to place at the top of
+# the title page.
+#latex_logo = None
+
+# For "manual" documents, if this is true, then toplevel headings are parts,
+# not chapters.
+#latex_use_parts = False
+
+# If true, show page references after internal links.
+#latex_show_pagerefs = False
+
+# If true, show URL addresses after external links.
+#latex_show_urls = False
+
+# Documents to append as an appendix to all manuals.
+#latex_appendices = []
+
+# If false, no module index is generated.
+#latex_domain_indices = True
+
+
+# -- Options for manual page output ---------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+    (master_doc, 'scikit-splearn', 'scikit splearn Documentation',
+     [author], 1)
+]
+
+# If true, show URL addresses after external links.
+#man_show_urls = False
+
+
+# -- Options for Texinfo output -------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+  (master_doc, 'scikit-splearn', 'scikit splearn Documentation',
+   author, 'scikit-splearn', 'One line description of project.',
+   'Miscellaneous'),
+]
+
+# Documents to append as an appendix to all manuals.
+#texinfo_appendices = []
+
+# If false, no module index is generated.
+#texinfo_domain_indices = True
+
+# How to display URL addresses: 'footnote', 'no', or 'inline'.
+#texinfo_show_urls = 'footnote'
+
+# If true, do not generate a @detailmenu in the "Top" node's menu.
+#texinfo_no_detailmenu = False

dist/scikit-splearn-1.0.1/doc/hankel.rst

+hankel module
+===============
+
+.. automodule:: hankel
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+

dist/scikit-splearn-1.0.1/doc/index.rst

+.. scikit-splearn documentation master file, created by
+   sphinx-quickstart on Fri Nov  6 17:21:52 2015.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Welcome to scikit-splearn's documentation!
+==========================================
+
+Contents:
+
+.. toctree::
+   :maxdepth: 3
+
+   modules
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
+

dist/scikit-splearn-1.0.1/doc/modules.rst

+splearn
+=======
+
+.. toctree::
+   :maxdepth: 2
+
+   automaton
+   spectral
+   hankel
+   splearn.datasets

dist/scikit-splearn-1.0.1/doc/spectral.rst

+spectral module
+===============
+
+.. automodule:: spectral
+    :members: Learning, Spectral
+    :undoc-members:
+    :show-inheritance: