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* Remove old docs stuff

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Matthew Honnibal 2014-09-25 18:24:05 +02:00
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268
docs/conf.py
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# -*- coding: utf-8 -*-
#
# spaCy documentation build configuration file, created by
# sphinx-quickstart on Tue Aug 19 16:27:38 2014.
#
# 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 os.path
import sphinx_rtd_theme
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
# 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('.'))
# -- 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.coverage',
'sphinx.ext.viewcode',
'sphinx.ext.autodoc',
'sphinxcontrib.napoleon',
'sphinx.ext.doctest'
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
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 = u'spaCy'
copyright = u'2014, Matthew Honnibal'
# 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 = '0.1'
# The full version, including alpha/beta/rc tags.
release = '0.1'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#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
# -- 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 = 'sphinx_rtd_theme'
# 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 = [sphinx_rtd_theme.get_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 = False
# 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
# Output file base name for HTML help builder.
htmlhelp_basename = 'spaCydoc'
# -- 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': '',
}
# 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 = [
('index', 'spaCy.tex', u'spaCy Documentation',
u'Matthew Honnibal', '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 = [
('index', 'spacy', u'spaCy Documentation',
[u'Matthew Honnibal'], 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 = [
('index', 'spaCy', u'spaCy Documentation',
u'Matthew Honnibal', 'spaCy', '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

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docs/guide/install.rst
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Installation
============
pip install spacy
-----------------
The easiest way to install is from PyPi via pip::
pip install spacy
git clone http://github.com/honnibal/spaCy.git
----------------------------------------------
Installation From source via `GitHub <https://github.com/honnibal/spaCy>`_, using virtualenv::
$ git clone http://github.com/honnibal/spaCy.git
$ cd spaCy
$ virtualenv .env
$ source .env/bin/activate
$ pip install -r requirements.txt
$ fab make
$ fab test

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docs/guide/overview.rst
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Overview
========
What and Why
------------
spaCy is a lightning-fast, full-cream NLP tokenizer and lexicon.
Most tokenizers give you a sequence of strings. That's barbaric.
Giving you strings invites you to compute on every *token*, when what
you should be doing is computing on every *type*. Remember
`Zipf's law <http://en.wikipedia.org/wiki/Zipf's_law>`_: you'll
see exponentially fewer types than tokens.
Instead of strings, spaCy gives you references to Lexeme objects, from which you
can access an excellent set of pre-computed orthographic and distributional features:
::
>>> from spacy import en
>>> apples, are, nt, oranges, dots = en.EN.tokenize(u"Apples aren't oranges...")
>>> are.prob >= oranges.prob
True
>>> apples.check_flag(en.IS_TITLE)
True
>>> apples.check_flag(en.OFT_TITLE)
False
>>> are.check_flag(en.CAN_NOUN)
False
spaCy makes it easy to write very efficient NLP applications, because your feature
functions have to do almost no work: almost every lexical property you'll want
is pre-computed for you. See the tutorial for an example POS tagger.
Benchmark
---------
The tokenizer itself is also very efficient:
+--------+-------+--------------+--------------+
| System | Time | Words/second | Speed Factor |
+--------+-------+--------------+--------------+
| NLTK | 6m4s | 89,000 | 1.00 |
+--------+-------+--------------+--------------+
| spaCy | 9.5s | 3,093,000 | 38.30 |
+--------+-------+--------------+--------------+
The comparison refers to 30 million words from the English Gigaword, on
a Maxbook Air. For context, calling string.split() on the data completes in
about 5s.
Pros and Cons
-------------
Pros:
- All tokens come with indices into the original string
- Full unicode support
- Extensible to other languages
- Batch operations computed efficiently in Cython
- Cython API
- numpy interoperability
Cons:
- It's new (released September 2014)
- Security concerns, from memory management
- Higher memory usage (up to 1gb)
- More conceptually complicated
- Tokenization rules expressed in code, not as data

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docs/index.rst
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.. spaCy documentation master file, created by
sphinx-quickstart on Tue Aug 19 16:27:38 2014.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
spaCy NLP Tokenizer and Lexicon
================================
.. toctree::
:maxdepth: 3
guide/overview.rst
guide/install.rst
api/index.rst
modules/index.rst
Source (GitHub)
----------------
http://github.com/honnibal/spaCy
License
-------
Copyright Matthew Honnibal
Non-commercial use: $0
Commercial trial use: $0
Full commercial license: $500
honnibal@gmail.com

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tests/test_hashing.py
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import pytest
from spacy._hashing import PointerHash
import random
def test_insert():
h = PointerHash()
assert h[1] is None
h[1] = 5
assert h[1] == 5
h[2] = 6
assert h[1] == 5
assert h[2] == 6
def test_resize():
h = PointerHash(4)
for i in range(1, 100):
value = int(i * (random.random() + 1))
h[i] = value