wassname/catalyst
1
0
Fork 0
mirror of https://github.com/wassname/catalyst.git synced 2026-07-18 12:20:12 +08:00
Code Issues Packages Projects Releases Wiki Activity

Documentation first build

Browse Source
This commit is contained in:
Victor Grau Serrat
2017-10-19 15:49:01 -06:00
parent 09f27e5880
commit e75e136c1b
527 changed files with 21597 additions and 170261 deletions
Download Patch File Download Diff File Expand all files Collapse all files
AUTHORS
-49
View File
@@ -1,49 +0,0 @@
Eddie Hebert
fawce
Thomas Wiecki
Stephen Diehl
scottsanderson
Scott Sanderson
Richard Frank
Jonathan Kamens
twiecki
Joe Jevnik
Delaney Granizo-Mackenzie
Tobias Brandt
Ben McCann
John Ricklefs
Jenkins T. Quantopian, III
Jeremiah Lowin
jbredeche
Brian Fink
David Edwards
Matti Hanninen
Ryan Day
llllllllll
David Stephens
Tim
Dale Jung
Jamie Kirkpatrick
Jean Bredeche
Wes McKinney
jikamens
Aidan
Colin Alexander
Elektra58
Jason Kölker
Jeremi Joslin
Luke Schiefelbein
Martin Dengler
Mete Atamel
Michael Schatzow
Moises Trovo
Nicholas Pezolano
Pankaj Garg
Paolo Bernardi
Peter Cawthron
Philipp Kosel
Suminda Dharmasena
The Gitter Badger
Tony Lambiris
Tony Worm
stanh
Dockerfile
-93
View File
@@ -1,93 +0,0 @@
#
# Dockerfile for an image with the currently checked out version of catalyst installed. To build:
#
# docker build -t quantopian/catalyst .
#
# To run the container:
#
# docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalyst -it quantopian/catalyst
#
# To access Jupyter when running docker locally (you may need to add NAT rules):
#
# https://127.0.0.1
#
# default password is jupyter. to provide another, see:
# http://jupyter-notebook.readthedocs.org/en/latest/public_server.html#preparing-a-hashed-password
#
# once generated, you can pass the new value via `docker run --env` the first time
# you start the container.
#
# You can also run an algo using the docker exec command. For example:
#
# docker exec -it catalyst catalyst run -f /projects/my_algo.py --start 2015-1-1 --end 2016-1-1 /projects/result.pickle
#
FROM python:3.5
#
# set up environment
#
ENV TINI_VERSION v0.10.0
ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /tini
RUN chmod +x /tini
ENTRYPOINT ["/tini", "--"]
ENV PROJECT_DIR=/projects \
NOTEBOOK_PORT=8888 \
SSL_CERT_PEM=/root/.jupyter/jupyter.pem \
SSL_CERT_KEY=/root/.jupyter/jupyter.key \
PW_HASH="u'sha1:31cb67870a35:1a2321318481f00b0efdf3d1f71af523d3ffc505'" \
CONFIG_PATH=/root/.jupyter/jupyter_notebook_config.py
#
# install TA-Lib and other prerequisites
#
RUN mkdir ${PROJECT_DIR} \
&& apt-get -y update \
&& apt-get -y install libfreetype6-dev libpng-dev libopenblas-dev liblapack-dev gfortran \
&& curl -L https://downloads.sourceforge.net/project/ta-lib/ta-lib/0.4.0/ta-lib-0.4.0-src.tar.gz | tar xvz
#
# build and install catalyst from source. install TA-Lib after to ensure
# numpy is available.
#
WORKDIR /ta-lib
RUN pip install 'numpy>=1.11.1,<2.0.0' \
&& pip install 'scipy>=0.17.1,<1.0.0' \
&& pip install 'pandas>=0.18.1,<1.0.0' \
&& ./configure --prefix=/usr \
&& make \
&& make install \
&& pip install TA-Lib \
&& pip install matplotlib \
&& pip install jupyter
#
# This is then only file we need from source to remain in the
# image after build and install.
#
ADD ./etc/docker_cmd.sh /
#
# make port available. /catalyst is made a volume
# for developer testing.
#
EXPOSE ${NOTEBOOK_PORT}
#
# build and install the catalyst package into the image
#
ADD . /catalyst
WORKDIR /catalyst
RUN pip install -e .
#
# start the jupyter server
#
WORKDIR ${PROJECT_DIR}
CMD /docker_cmd.sh
Dockerfile-dev
-34
View File
@@ -1,34 +0,0 @@
#
# Dockerfile for an image with the currently checked out version of catalyst installed. To build:
#
# docker build -t quantopian/catalystdev -f Dockerfile-dev .
#
# Note: the dev build requires a quantopian/catalyst image, which you can build as follows:
#
# docker build -t quantopian/catalyst -f Dockerfile
#
# To run the container:
#
# docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalystdev -it quantopian/catalystdev
#
# To access Jupyter when running docker locally (you may need to add NAT rules):
#
# https://127.0.0.1
#
# default password is jupyter. to provide another, see:
# http://jupyter-notebook.readthedocs.org/en/latest/public_server.html#preparing-a-hashed-password
#
# once generated, you can pass the new value via `docker run --env` the first time
# you start the container.
#
# You can also run an algo using the docker exec command. For example:
#
# docker exec -it catalystdev catalyst run -f /projects/my_algo.py --start 2015-1-1 --end 2016-1-1 /projects/result.pickle
#
FROM quantopian/catalyst
WORKDIR /catalyst
RUN pip install -r etc/requirements_dev.txt -r etc/requirements_blaze.txt
# Clean out any cython assets. The pip install re-builds them.
RUN find . -type f -name '*.c' -exec rm {} + && pip install -e .[all]
LICENSE
-202
View File
@@ -1,202 +0,0 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
MANIFEST.in
-9
View File
@@ -1,9 +0,0 @@
include LICENSE
include etc/requirements*.txt
recursive-include catalyst *.pyi
recursive-include catalyst *.pxi
recursive-include catalyst/resources *.*
include versioneer.py
include catalyst/_version.py
README.rst
-1
View File
@@ -1 +0,0 @@
All the documentation for `Catalyst <https://github.com/enigmampc/catalyst>`_ can be found in the `catalyst-docs wiki <https://github.com/enigmampc/catalyst-docs/wiki>`_.
Vagrantfile
Vendored
-10
View File
@@ -1,10 +0,0 @@
# -*- mode: ruby -*-
# vi: set ft=ruby :
Vagrant.configure("2") do |config|
config.vm.box = "ubuntu/trusty64"
config.vm.provider :virtualbox do |vb|
vb.customize ["modifyvm", :id, "--memory", 2048, "--cpus", 2]
end
config.vm.provision "shell", path: "vagrant_init.sh"
end
docs/source/tutorial_files/tutorial_11_2.png → _images/tutorial_11_2.png
View File
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 40 KiB

After

Width:  |  Height:  |  Size: 40 KiB

docs/source/tutorial_files/tutorial_22_1.png → _images/tutorial_22_1.png
View File
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 53 KiB

After

Width:  |  Height:  |  Size: 53 KiB

docs/source/appendix.rst → _sources/appendix.txt
View File
docs/source/beginner-tutorial.rst → _sources/beginner-tutorial.txt
View File
docs/source/bundles.rst → _sources/bundles.txt
View File
docs/source/development-guidelines.rst → _sources/development-guidelines.txt
View File
docs/source/index.rst → _sources/index.txt
View File
docs/source/install.rst → _sources/install.txt
+11 -5
View File
@@ -4,12 +4,12 @@ Install
Installing with ``pip``
-----------------------
Installing Zipline via ``pip`` is slightly more involved than the average
Installing Catalyst via ``pip`` is slightly more involved than the average
Python package.
There are two reasons for the additional complexity:
1. Zipline ships several C extensions that require access to the CPython C API.
1. Catalyst ships several C extensions that require access to the CPython C API.
In order to build the C extensions, ``pip`` needs access to the CPython
header files for your Python installation.
@@ -28,13 +28,19 @@ your particular platform), you should be able to simply run
.. code-block:: bash
$ pip install zipline
$ pip install enigma-catalyst
If you use Python for anything other than Zipline, we **strongly** recommend
If you use Python for anything other than Catalyst, we **strongly** recommend
that you install in a `virtualenv
<https://virtualenv.readthedocs.org/en/latest>`_. The `Hitchhiker's Guide to
Python`_ provides an `excellent tutorial on virtualenv
<http://docs.python-guide.org/en/latest/dev/virtualenvs/>`_.
<http://docs.python-guide.org/en/latest/dev/virtualenvs/>`_. Here's a summarized
version:
.. code-block:: bash
$ virtualenv catalyst-venv
$ source ./catalyst-venv/bin/activate
$ pip install enigma-catalyst
GNU/Linux
~~~~~~~~~
docs/source/release-process.rst → _sources/release-process.txt
View File
docs/source/releases.rst → _sources/releases.txt
View File
_static/ajax-loader.gif
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 673 B

_static/basic.css
+599
View File
@@ -0,0 +1,599 @@
/*
* basic.css
* ~~~~~~~~~
*
* Sphinx stylesheet -- basic theme.
*
* :copyright: Copyright 2007-2015 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
/* -- main layout ----------------------------------------------------------- */
div.clearer {
clear: both;
}
/* -- relbar ---------------------------------------------------------------- */
div.related {
width: 100%;
font-size: 90%;
}
div.related h3 {
display: none;
}
div.related ul {
margin: 0;
padding: 0 0 0 10px;
list-style: none;
}
div.related li {
display: inline;
}
div.related li.right {
float: right;
margin-right: 5px;
}
/* -- sidebar --------------------------------------------------------------- */
div.sphinxsidebarwrapper {
padding: 10px 5px 0 10px;
}
div.sphinxsidebar {
float: left;
width: 230px;
margin-left: -100%;
font-size: 90%;
}
div.sphinxsidebar ul {
list-style: none;
}
div.sphinxsidebar ul ul,
div.sphinxsidebar ul.want-points {
margin-left: 20px;
list-style: square;
}
div.sphinxsidebar ul ul {
margin-top: 0;
margin-bottom: 0;
}
div.sphinxsidebar form {
margin-top: 10px;
}
div.sphinxsidebar input {
border: 1px solid #98dbcc;
font-family: sans-serif;
font-size: 1em;
}
div.sphinxsidebar #searchbox input[type="text"] {
width: 170px;
}
div.sphinxsidebar #searchbox input[type="submit"] {
width: 30px;
}
img {
border: 0;
max-width: 100%;
}
/* -- search page ----------------------------------------------------------- */
ul.search {
margin: 10px 0 0 20px;
padding: 0;
}
ul.search li {
padding: 5px 0 5px 20px;
background-image: url(file.png);
background-repeat: no-repeat;
background-position: 0 7px;
}
ul.search li a {
font-weight: bold;
}
ul.search li div.context {
color: #888;
margin: 2px 0 0 30px;
text-align: left;
}
ul.keywordmatches li.goodmatch a {
font-weight: bold;
}
/* -- index page ------------------------------------------------------------ */
table.contentstable {
width: 90%;
}
table.contentstable p.biglink {
line-height: 150%;
}
a.biglink {
font-size: 1.3em;
}
span.linkdescr {
font-style: italic;
padding-top: 5px;
font-size: 90%;
}
/* -- general index --------------------------------------------------------- */
table.indextable {
width: 100%;
}
table.indextable td {
text-align: left;
vertical-align: top;
}
table.indextable dl, table.indextable dd {
margin-top: 0;
margin-bottom: 0;
}
table.indextable tr.pcap {
height: 10px;
}
table.indextable tr.cap {
margin-top: 10px;
background-color: #f2f2f2;
}
img.toggler {
margin-right: 3px;
margin-top: 3px;
cursor: pointer;
}
div.modindex-jumpbox {
border-top: 1px solid #ddd;
border-bottom: 1px solid #ddd;
margin: 1em 0 1em 0;
padding: 0.4em;
}
div.genindex-jumpbox {
border-top: 1px solid #ddd;
border-bottom: 1px solid #ddd;
margin: 1em 0 1em 0;
padding: 0.4em;
}
/* -- general body styles --------------------------------------------------- */
a.headerlink {
visibility: hidden;
}
h1:hover > a.headerlink,
h2:hover > a.headerlink,
h3:hover > a.headerlink,
h4:hover > a.headerlink,
h5:hover > a.headerlink,
h6:hover > a.headerlink,
dt:hover > a.headerlink,
caption:hover > a.headerlink,
p.caption:hover > a.headerlink,
div.code-block-caption:hover > a.headerlink {
visibility: visible;
}
div.body p.caption {
text-align: inherit;
}
div.body td {
text-align: left;
}
.field-list ul {
padding-left: 1em;
}
.first {
margin-top: 0 !important;
}
p.rubric {
margin-top: 30px;
font-weight: bold;
}
img.align-left, .figure.align-left, object.align-left {
clear: left;
float: left;
margin-right: 1em;
}
img.align-right, .figure.align-right, object.align-right {
clear: right;
float: right;
margin-left: 1em;
}
img.align-center, .figure.align-center, object.align-center {
display: block;
margin-left: auto;
margin-right: auto;
}
.align-left {
text-align: left;
}
.align-center {
text-align: center;
}
.align-right {
text-align: right;
}
/* -- sidebars -------------------------------------------------------------- */
div.sidebar {
margin: 0 0 0.5em 1em;
border: 1px solid #ddb;
padding: 7px 7px 0 7px;
background-color: #ffe;
width: 40%;
float: right;
}
p.sidebar-title {
font-weight: bold;
}
/* -- topics ---------------------------------------------------------------- */
div.topic {
border: 1px solid #ccc;
padding: 7px 7px 0 7px;
margin: 10px 0 10px 0;
}
p.topic-title {
font-size: 1.1em;
font-weight: bold;
margin-top: 10px;
}
/* -- admonitions ----------------------------------------------------------- */
div.admonition {
margin-top: 10px;
margin-bottom: 10px;
padding: 7px;
}
div.admonition dt {
font-weight: bold;
}
div.admonition dl {
margin-bottom: 0;
}
p.admonition-title {
margin: 0px 10px 5px 0px;
font-weight: bold;
}
div.body p.centered {
text-align: center;
margin-top: 25px;
}
/* -- tables ---------------------------------------------------------------- */
table.docutils {
border: 0;
border-collapse: collapse;
}
table caption span.caption-number {
font-style: italic;
}
table caption span.caption-text {
}
table.docutils td, table.docutils th {
padding: 1px 8px 1px 5px;
border-top: 0;
border-left: 0;
border-right: 0;
border-bottom: 1px solid #aaa;
}
table.field-list td, table.field-list th {
border: 0 !important;
}
table.footnote td, table.footnote th {
border: 0 !important;
}
th {
text-align: left;
padding-right: 5px;
}
table.citation {
border-left: solid 1px gray;
margin-left: 1px;
}
table.citation td {
border-bottom: none;
}
/* -- figures --------------------------------------------------------------- */
div.figure {
margin: 0.5em;
padding: 0.5em;
}
div.figure p.caption {
padding: 0.3em;
}
div.figure p.caption span.caption-number {
font-style: italic;
}
div.figure p.caption span.caption-text {
}
/* -- other body styles ----------------------------------------------------- */
ol.arabic {
list-style: decimal;
}
ol.loweralpha {
list-style: lower-alpha;
}
ol.upperalpha {
list-style: upper-alpha;
}
ol.lowerroman {
list-style: lower-roman;
}
ol.upperroman {
list-style: upper-roman;
}
dl {
margin-bottom: 15px;
}
dd p {
margin-top: 0px;
}
dd ul, dd table {
margin-bottom: 10px;
}
dd {
margin-top: 3px;
margin-bottom: 10px;
margin-left: 30px;
}
dt:target, .highlighted {
background-color: #fbe54e;
}
dl.glossary dt {
font-weight: bold;
font-size: 1.1em;
}
.field-list ul {
margin: 0;
padding-left: 1em;
}
.field-list p {
margin: 0;
}
.optional {
font-size: 1.3em;
}
.sig-paren {
font-size: larger;
}
.versionmodified {
font-style: italic;
}
.system-message {
background-color: #fda;
padding: 5px;
border: 3px solid red;
}
.footnote:target {
background-color: #ffa;
}
.line-block {
display: block;
margin-top: 1em;
margin-bottom: 1em;
}
.line-block .line-block {
margin-top: 0;
margin-bottom: 0;
margin-left: 1.5em;
}
.guilabel, .menuselection {
font-family: sans-serif;
}
.accelerator {
text-decoration: underline;
}
.classifier {
font-style: oblique;
}
abbr, acronym {
border-bottom: dotted 1px;
cursor: help;
}
/* -- code displays --------------------------------------------------------- */
pre {
overflow: auto;
overflow-y: hidden; /* fixes display issues on Chrome browsers */
}
td.linenos pre {
padding: 5px 0px;
border: 0;
background-color: transparent;
color: #aaa;
}
table.highlighttable {
margin-left: 0.5em;
}
table.highlighttable td {
padding: 0 0.5em 0 0.5em;
}
div.code-block-caption {
padding: 2px 5px;
font-size: small;
}
div.code-block-caption code {
background-color: transparent;
}
div.code-block-caption + div > div.highlight > pre {
margin-top: 0;
}
div.code-block-caption span.caption-number {
padding: 0.1em 0.3em;
font-style: italic;
}
div.code-block-caption span.caption-text {
}
div.literal-block-wrapper {
padding: 1em 1em 0;
}
div.literal-block-wrapper div.highlight {
margin: 0;
}
code.descname {
background-color: transparent;
font-weight: bold;
font-size: 1.2em;
}
code.descclassname {
background-color: transparent;
}
code.xref, a code {
background-color: transparent;
font-weight: bold;
}
h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
background-color: transparent;
}
.viewcode-link {
float: right;
}
.viewcode-back {
float: right;
font-family: sans-serif;
}
div.viewcode-block:target {
margin: -1px -10px;
padding: 0 10px;
}
/* -- math display ---------------------------------------------------------- */
img.math {
vertical-align: middle;
}
div.body div.math p {
text-align: center;
}
span.eqno {
float: right;
}
/* -- printout stylesheet --------------------------------------------------- */
@media print {
div.document,
div.documentwrapper,
div.bodywrapper {
margin: 0 !important;
width: 100%;
}
div.sphinxsidebar,
div.related,
div.footer,
#top-link {
display: none;
}
}
_static/comment-bright.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 3.4 KiB

_static/comment-close.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 3.5 KiB

_static/comment.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 3.4 KiB

_static/css/badge_only.css
+2
View File
@@ -0,0 +1,2 @@
.fa:before{-webkit-font-smoothing:antialiased}.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;content:""}.clearfix:after{clear:both}@font-face{font-family:FontAwesome;font-weight:normal;font-style:normal;src:url("../font/fontawesome_webfont.eot");src:url("../font/fontawesome_webfont.eot?#iefix") format("embedded-opentype"),url("../font/fontawesome_webfont.woff") format("woff"),url("../font/fontawesome_webfont.ttf") format("truetype"),url("../font/fontawesome_webfont.svg#FontAwesome") format("svg")}.fa:before{display:inline-block;font-family:FontAwesome;font-style:normal;font-weight:normal;line-height:1;text-decoration:inherit}a .fa{display:inline-block;text-decoration:inherit}li .fa{display:inline-block}li .fa-large:before,li .fa-large:before{width:1.875em}ul.fas{list-style-type:none;margin-left:2em;text-indent:-0.8em}ul.fas li .fa{width:0.8em}ul.fas li .fa-large:before,ul.fas li .fa-large:before{vertical-align:baseline}.fa-book:before{content:""}.icon-book:before{content:""}.fa-caret-down:before{content:""}.icon-caret-down:before{content:""}.fa-caret-up:before{content:""}.icon-caret-up:before{content:""}.fa-caret-left:before{content:""}.icon-caret-left:before{content:""}.fa-caret-right:before{content:""}.icon-caret-right:before{content:""}.rst-versions{position:fixed;bottom:0;left:0;width:300px;color:#fcfcfc;background:#1f1d1d;border-top:solid 10px #343131;font-family:"Lato","proxima-nova","Helvetica Neue",Arial,sans-serif;z-index:400}.rst-versions a{color:#2980B9;text-decoration:none}.rst-versions .rst-badge-small{display:none}.rst-versions .rst-current-version{padding:12px;background-color:#272525;display:block;text-align:right;font-size:90%;cursor:pointer;color:#27AE60;*zoom:1}.rst-versions .rst-current-version:before,.rst-versions .rst-current-version:after{display:table;content:""}.rst-versions .rst-current-version:after{clear:both}.rst-versions .rst-current-version .fa{color:#fcfcfc}.rst-versions .rst-current-version .fa-book{float:left}.rst-versions .rst-current-version .icon-book{float:left}.rst-versions .rst-current-version.rst-out-of-date{background-color:#E74C3C;color:#fff}.rst-versions .rst-current-version.rst-active-old-version{background-color:#F1C40F;color:#000}.rst-versions.shift-up .rst-other-versions{display:block}.rst-versions .rst-other-versions{font-size:90%;padding:12px;color:gray;display:none}.rst-versions .rst-other-versions hr{display:block;height:1px;border:0;margin:20px 0;padding:0;border-top:solid 1px #413d3d}.rst-versions .rst-other-versions dd{display:inline-block;margin:0}.rst-versions .rst-other-versions dd a{display:inline-block;padding:6px;color:#fcfcfc}.rst-versions.rst-badge{width:auto;bottom:20px;right:20px;left:auto;border:none;max-width:300px}.rst-versions.rst-badge .icon-book{float:none}.rst-versions.rst-badge .fa-book{float:none}.rst-versions.rst-badge.shift-up .rst-current-version{text-align:right}.rst-versions.rst-badge.shift-up .rst-current-version .fa-book{float:left}.rst-versions.rst-badge.shift-up .rst-current-version .icon-book{float:left}.rst-versions.rst-badge .rst-current-version{width:auto;height:30px;line-height:30px;padding:0 6px;display:block;text-align:center}@media screen and (max-width: 768px){.rst-versions{width:85%;display:none}.rst-versions.shift{display:block}img{width:100%;height:auto}}
/*# sourceMappingURL=badge_only.css.map */
_static/css/theme.css
+5
View File
File diff suppressed because one or more lines are too long
_static/doctools.js
+263
View File
@@ -0,0 +1,263 @@
/*
* doctools.js
* ~~~~~~~~~~~
*
* Sphinx JavaScript utilities for all documentation.
*
* :copyright: Copyright 2007-2015 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
/**
* select a different prefix for underscore
*/
$u = _.noConflict();
/**
* make the code below compatible with browsers without
* an installed firebug like debugger
if (!window.console || !console.firebug) {
var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
"dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
"profile", "profileEnd"];
window.console = {};
for (var i = 0; i < names.length; ++i)
window.console[names[i]] = function() {};
}
*/
/**
* small helper function to urldecode strings
*/
jQuery.urldecode = function(x) {
return decodeURIComponent(x).replace(/\+/g, ' ');
};
/**
* small helper function to urlencode strings
*/
jQuery.urlencode = encodeURIComponent;
/**
* This function returns the parsed url parameters of the
* current request. Multiple values per key are supported,
* it will always return arrays of strings for the value parts.
*/
jQuery.getQueryParameters = function(s) {
if (typeof s == 'undefined')
s = document.location.search;
var parts = s.substr(s.indexOf('?') + 1).split('&');
var result = {};
for (var i = 0; i < parts.length; i++) {
var tmp = parts[i].split('=', 2);
var key = jQuery.urldecode(tmp[0]);
var value = jQuery.urldecode(tmp[1]);
if (key in result)
result[key].push(value);
else
result[key] = [value];
}
return result;
};
/**
* highlight a given string on a jquery object by wrapping it in
* span elements with the given class name.
*/
jQuery.fn.highlightText = function(text, className) {
function highlight(node) {
if (node.nodeType == 3) {
var val = node.nodeValue;
var pos = val.toLowerCase().indexOf(text);
if (pos >= 0 && !jQuery(node.parentNode).hasClass(className)) {
var span = document.createElement("span");
span.className = className;
span.appendChild(document.createTextNode(val.substr(pos, text.length)));
node.parentNode.insertBefore(span, node.parentNode.insertBefore(
document.createTextNode(val.substr(pos + text.length)),
node.nextSibling));
node.nodeValue = val.substr(0, pos);
}
}
else if (!jQuery(node).is("button, select, textarea")) {
jQuery.each(node.childNodes, function() {
highlight(this);
});
}
}
return this.each(function() {
highlight(this);
});
};
/*
* backward compatibility for jQuery.browser
* This will be supported until firefox bug is fixed.
*/
if (!jQuery.browser) {
jQuery.uaMatch = function(ua) {
ua = ua.toLowerCase();
var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
/(webkit)[ \/]([\w.]+)/.exec(ua) ||
/(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
/(msie) ([\w.]+)/.exec(ua) ||
ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
[];
return {
browser: match[ 1 ] || "",
version: match[ 2 ] || "0"
};
};
jQuery.browser = {};
jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
}
/**
* Small JavaScript module for the documentation.
*/
var Documentation = {
init : function() {
this.fixFirefoxAnchorBug();
this.highlightSearchWords();
this.initIndexTable();
},
/**
* i18n support
*/
TRANSLATIONS : {},
PLURAL_EXPR : function(n) { return n == 1 ? 0 : 1; },
LOCALE : 'unknown',
// gettext and ngettext don't access this so that the functions
// can safely bound to a different name (_ = Documentation.gettext)
gettext : function(string) {
var translated = Documentation.TRANSLATIONS[string];
if (typeof translated == 'undefined')
return string;
return (typeof translated == 'string') ? translated : translated[0];
},
ngettext : function(singular, plural, n) {
var translated = Documentation.TRANSLATIONS[singular];
if (typeof translated == 'undefined')
return (n == 1) ? singular : plural;
return translated[Documentation.PLURALEXPR(n)];
},
addTranslations : function(catalog) {
for (var key in catalog.messages)
this.TRANSLATIONS[key] = catalog.messages[key];
this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
this.LOCALE = catalog.locale;
},
/**
* add context elements like header anchor links
*/
addContextElements : function() {
$('div[id] > :header:first').each(function() {
$('<a class="headerlink">\u00B6</a>').
attr('href', '#' + this.id).
attr('title', _('Permalink to this headline')).
appendTo(this);
});
$('dt[id]').each(function() {
$('<a class="headerlink">\u00B6</a>').
attr('href', '#' + this.id).
attr('title', _('Permalink to this definition')).
appendTo(this);
});
},
/**
* workaround a firefox stupidity
* see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
*/
fixFirefoxAnchorBug : function() {
if (document.location.hash)
window.setTimeout(function() {
document.location.href += '';
}, 10);
},
/**
* highlight the search words provided in the url in the text
*/
highlightSearchWords : function() {
var params = $.getQueryParameters();
var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
if (terms.length) {
var body = $('div.body');
if (!body.length) {
body = $('body');
}
window.setTimeout(function() {
$.each(terms, function() {
body.highlightText(this.toLowerCase(), 'highlighted');
});
}, 10);
$('<p class="highlight-link"><a href="javascript:Documentation.' +
'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
.appendTo($('#searchbox'));
}
},
/**
* init the domain index toggle buttons
*/
initIndexTable : function() {
var togglers = $('img.toggler').click(function() {
var src = $(this).attr('src');
var idnum = $(this).attr('id').substr(7);
$('tr.cg-' + idnum).toggle();
if (src.substr(-9) == 'minus.png')
$(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
else
$(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
}).css('display', '');
if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
togglers.click();
}
},
/**
* helper function to hide the search marks again
*/
hideSearchWords : function() {
$('#searchbox .highlight-link').fadeOut(300);
$('span.highlighted').removeClass('highlighted');
},
/**
* make the url absolute
*/
makeURL : function(relativeURL) {
return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
},
/**
* get the current relative url
*/
getCurrentURL : function() {
var path = document.location.pathname;
var parts = path.split(/\//);
$.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
if (this == '..')
parts.pop();
});
var url = parts.join('/');
return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
}
};
// quick alias for translations
_ = Documentation.gettext;
$(document).ready(function() {
Documentation.init();
});
_static/down-pressed.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 347 B

_static/down.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 347 B

_static/file.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 358 B

_static/fonts/Inconsolata-Bold.ttf
BIN
View File
Binary file not shown.
_static/fonts/Inconsolata.ttf
BIN
View File
Binary file not shown.
_static/fonts/Lato-Bold.ttf
BIN
View File
Binary file not shown.
_static/fonts/Lato-Regular.ttf
BIN
View File
Binary file not shown.
_static/fonts/RobotoSlab-Bold.ttf
BIN
View File
Binary file not shown.
_static/fonts/RobotoSlab-Regular.ttf
BIN
View File
Binary file not shown.
_static/fonts/fontawesome-webfont.eot
BIN
View File
Binary file not shown.
_static/fonts/fontawesome-webfont.svg
+414
View File
@@ -0,0 +1,414 @@
<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="fontawesomeregular" horiz-adv-x="1536" >
<font-face units-per-em="1792" ascent="1536" descent="-256" />
<missing-glyph horiz-adv-x="448" />
<glyph unicode=" " horiz-adv-x="448" />
<glyph unicode="&#x09;" horiz-adv-x="448" />
<glyph unicode="&#xa0;" horiz-adv-x="448" />
<glyph unicode="&#xa8;" horiz-adv-x="1792" />
<glyph unicode="&#xa9;" horiz-adv-x="1792" />
<glyph unicode="&#xae;" horiz-adv-x="1792" />
<glyph unicode="&#xb4;" horiz-adv-x="1792" />
<glyph unicode="&#xc6;" horiz-adv-x="1792" />
<glyph unicode="&#x2000;" horiz-adv-x="768" />
<glyph unicode="&#x2001;" />
<glyph unicode="&#x2002;" horiz-adv-x="768" />
<glyph unicode="&#x2003;" />
<glyph unicode="&#x2004;" horiz-adv-x="512" />
<glyph unicode="&#x2005;" horiz-adv-x="384" />
<glyph unicode="&#x2006;" horiz-adv-x="256" />
<glyph unicode="&#x2007;" horiz-adv-x="256" />
<glyph unicode="&#x2008;" horiz-adv-x="192" />
<glyph unicode="&#x2009;" horiz-adv-x="307" />
<glyph unicode="&#x200a;" horiz-adv-x="85" />
<glyph unicode="&#x202f;" horiz-adv-x="307" />
<glyph unicode="&#x205f;" horiz-adv-x="384" />
<glyph unicode="&#x2122;" horiz-adv-x="1792" />
<glyph unicode="&#x221e;" horiz-adv-x="1792" />
<glyph unicode="&#x2260;" horiz-adv-x="1792" />
<glyph unicode="&#xe000;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#xf000;" horiz-adv-x="1792" d="M1699 1350q0 -35 -43 -78l-632 -632v-768h320q26 0 45 -19t19 -45t-19 -45t-45 -19h-896q-26 0 -45 19t-19 45t19 45t45 19h320v768l-632 632q-43 43 -43 78q0 23 18 36.5t38 17.5t43 4h1408q23 0 43 -4t38 -17.5t18 -36.5z" />
<glyph unicode="&#xf001;" d="M1536 1312v-1120q0 -50 -34 -89t-86 -60.5t-103.5 -32t-96.5 -10.5t-96.5 10.5t-103.5 32t-86 60.5t-34 89t34 89t86 60.5t103.5 32t96.5 10.5q105 0 192 -39v537l-768 -237v-709q0 -50 -34 -89t-86 -60.5t-103.5 -32t-96.5 -10.5t-96.5 10.5t-103.5 32t-86 60.5t-34 89 t34 89t86 60.5t103.5 32t96.5 10.5q105 0 192 -39v967q0 31 19 56.5t49 35.5l832 256q12 4 28 4q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf002;" horiz-adv-x="1664" d="M1152 704q0 185 -131.5 316.5t-316.5 131.5t-316.5 -131.5t-131.5 -316.5t131.5 -316.5t316.5 -131.5t316.5 131.5t131.5 316.5zM1664 -128q0 -52 -38 -90t-90 -38q-54 0 -90 38l-343 342q-179 -124 -399 -124q-143 0 -273.5 55.5t-225 150t-150 225t-55.5 273.5 t55.5 273.5t150 225t225 150t273.5 55.5t273.5 -55.5t225 -150t150 -225t55.5 -273.5q0 -220 -124 -399l343 -343q37 -37 37 -90z" />
<glyph unicode="&#xf003;" horiz-adv-x="1792" d="M1664 32v768q-32 -36 -69 -66q-268 -206 -426 -338q-51 -43 -83 -67t-86.5 -48.5t-102.5 -24.5h-1h-1q-48 0 -102.5 24.5t-86.5 48.5t-83 67q-158 132 -426 338q-37 30 -69 66v-768q0 -13 9.5 -22.5t22.5 -9.5h1472q13 0 22.5 9.5t9.5 22.5zM1664 1083v11v13.5t-0.5 13 t-3 12.5t-5.5 9t-9 7.5t-14 2.5h-1472q-13 0 -22.5 -9.5t-9.5 -22.5q0 -168 147 -284q193 -152 401 -317q6 -5 35 -29.5t46 -37.5t44.5 -31.5t50.5 -27.5t43 -9h1h1q20 0 43 9t50.5 27.5t44.5 31.5t46 37.5t35 29.5q208 165 401 317q54 43 100.5 115.5t46.5 131.5z M1792 1120v-1088q0 -66 -47 -113t-113 -47h-1472q-66 0 -113 47t-47 113v1088q0 66 47 113t113 47h1472q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf004;" horiz-adv-x="1792" d="M896 -128q-26 0 -44 18l-624 602q-10 8 -27.5 26t-55.5 65.5t-68 97.5t-53.5 121t-23.5 138q0 220 127 344t351 124q62 0 126.5 -21.5t120 -58t95.5 -68.5t76 -68q36 36 76 68t95.5 68.5t120 58t126.5 21.5q224 0 351 -124t127 -344q0 -221 -229 -450l-623 -600 q-18 -18 -44 -18z" />
<glyph unicode="&#xf005;" horiz-adv-x="1664" d="M1664 889q0 -22 -26 -48l-363 -354l86 -500q1 -7 1 -20q0 -21 -10.5 -35.5t-30.5 -14.5q-19 0 -40 12l-449 236l-449 -236q-22 -12 -40 -12q-21 0 -31.5 14.5t-10.5 35.5q0 6 2 20l86 500l-364 354q-25 27 -25 48q0 37 56 46l502 73l225 455q19 41 49 41t49 -41l225 -455 l502 -73q56 -9 56 -46z" />
<glyph unicode="&#xf006;" horiz-adv-x="1664" d="M1137 532l306 297l-422 62l-189 382l-189 -382l-422 -62l306 -297l-73 -421l378 199l377 -199zM1664 889q0 -22 -26 -48l-363 -354l86 -500q1 -7 1 -20q0 -50 -41 -50q-19 0 -40 12l-449 236l-449 -236q-22 -12 -40 -12q-21 0 -31.5 14.5t-10.5 35.5q0 6 2 20l86 500 l-364 354q-25 27 -25 48q0 37 56 46l502 73l225 455q19 41 49 41t49 -41l225 -455l502 -73q56 -9 56 -46z" />
<glyph unicode="&#xf007;" horiz-adv-x="1408" d="M1408 131q0 -120 -73 -189.5t-194 -69.5h-874q-121 0 -194 69.5t-73 189.5q0 53 3.5 103.5t14 109t26.5 108.5t43 97.5t62 81t85.5 53.5t111.5 20q9 0 42 -21.5t74.5 -48t108 -48t133.5 -21.5t133.5 21.5t108 48t74.5 48t42 21.5q61 0 111.5 -20t85.5 -53.5t62 -81 t43 -97.5t26.5 -108.5t14 -109t3.5 -103.5zM1088 1024q0 -159 -112.5 -271.5t-271.5 -112.5t-271.5 112.5t-112.5 271.5t112.5 271.5t271.5 112.5t271.5 -112.5t112.5 -271.5z" />
<glyph unicode="&#xf008;" horiz-adv-x="1920" d="M384 -64v128q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM384 320v128q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM384 704v128q0 26 -19 45t-45 19h-128 q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM1408 -64v512q0 26 -19 45t-45 19h-768q-26 0 -45 -19t-19 -45v-512q0 -26 19 -45t45 -19h768q26 0 45 19t19 45zM384 1088v128q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45 t45 -19h128q26 0 45 19t19 45zM1792 -64v128q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM1408 704v512q0 26 -19 45t-45 19h-768q-26 0 -45 -19t-19 -45v-512q0 -26 19 -45t45 -19h768q26 0 45 19t19 45zM1792 320v128 q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM1792 704v128q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM1792 1088v128q0 26 -19 45t-45 19h-128q-26 0 -45 -19 t-19 -45v-128q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM1920 1248v-1344q0 -66 -47 -113t-113 -47h-1600q-66 0 -113 47t-47 113v1344q0 66 47 113t113 47h1600q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf009;" horiz-adv-x="1664" d="M768 512v-384q0 -52 -38 -90t-90 -38h-512q-52 0 -90 38t-38 90v384q0 52 38 90t90 38h512q52 0 90 -38t38 -90zM768 1280v-384q0 -52 -38 -90t-90 -38h-512q-52 0 -90 38t-38 90v384q0 52 38 90t90 38h512q52 0 90 -38t38 -90zM1664 512v-384q0 -52 -38 -90t-90 -38 h-512q-52 0 -90 38t-38 90v384q0 52 38 90t90 38h512q52 0 90 -38t38 -90zM1664 1280v-384q0 -52 -38 -90t-90 -38h-512q-52 0 -90 38t-38 90v384q0 52 38 90t90 38h512q52 0 90 -38t38 -90z" />
<glyph unicode="&#xf00a;" horiz-adv-x="1792" d="M512 288v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM512 800v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1152 288v-192q0 -40 -28 -68t-68 -28h-320 q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM512 1312v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1152 800v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28 h320q40 0 68 -28t28 -68zM1792 288v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1152 1312v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1792 800v-192 q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1792 1312v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf00b;" horiz-adv-x="1792" d="M512 288v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM512 800v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1792 288v-192q0 -40 -28 -68t-68 -28h-960 q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h960q40 0 68 -28t28 -68zM512 1312v-192q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h320q40 0 68 -28t28 -68zM1792 800v-192q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68v192q0 40 28 68t68 28 h960q40 0 68 -28t28 -68zM1792 1312v-192q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h960q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf00c;" horiz-adv-x="1792" d="M1671 970q0 -40 -28 -68l-724 -724l-136 -136q-28 -28 -68 -28t-68 28l-136 136l-362 362q-28 28 -28 68t28 68l136 136q28 28 68 28t68 -28l294 -295l656 657q28 28 68 28t68 -28l136 -136q28 -28 28 -68z" />
<glyph unicode="&#xf00d;" horiz-adv-x="1408" d="M1298 214q0 -40 -28 -68l-136 -136q-28 -28 -68 -28t-68 28l-294 294l-294 -294q-28 -28 -68 -28t-68 28l-136 136q-28 28 -28 68t28 68l294 294l-294 294q-28 28 -28 68t28 68l136 136q28 28 68 28t68 -28l294 -294l294 294q28 28 68 28t68 -28l136 -136q28 -28 28 -68 t-28 -68l-294 -294l294 -294q28 -28 28 -68z" />
<glyph unicode="&#xf00e;" horiz-adv-x="1664" d="M1024 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-224v-224q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v224h-224q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h224v224q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5v-224h224 q13 0 22.5 -9.5t9.5 -22.5zM1152 704q0 185 -131.5 316.5t-316.5 131.5t-316.5 -131.5t-131.5 -316.5t131.5 -316.5t316.5 -131.5t316.5 131.5t131.5 316.5zM1664 -128q0 -53 -37.5 -90.5t-90.5 -37.5q-54 0 -90 38l-343 342q-179 -124 -399 -124q-143 0 -273.5 55.5 t-225 150t-150 225t-55.5 273.5t55.5 273.5t150 225t225 150t273.5 55.5t273.5 -55.5t225 -150t150 -225t55.5 -273.5q0 -220 -124 -399l343 -343q37 -37 37 -90z" />
<glyph unicode="&#xf010;" horiz-adv-x="1664" d="M1024 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-576q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h576q13 0 22.5 -9.5t9.5 -22.5zM1152 704q0 185 -131.5 316.5t-316.5 131.5t-316.5 -131.5t-131.5 -316.5t131.5 -316.5t316.5 -131.5t316.5 131.5t131.5 316.5z M1664 -128q0 -53 -37.5 -90.5t-90.5 -37.5q-54 0 -90 38l-343 342q-179 -124 -399 -124q-143 0 -273.5 55.5t-225 150t-150 225t-55.5 273.5t55.5 273.5t150 225t225 150t273.5 55.5t273.5 -55.5t225 -150t150 -225t55.5 -273.5q0 -220 -124 -399l343 -343q37 -37 37 -90z " />
<glyph unicode="&#xf011;" d="M1536 640q0 -156 -61 -298t-164 -245t-245 -164t-298 -61t-298 61t-245 164t-164 245t-61 298q0 182 80.5 343t226.5 270q43 32 95.5 25t83.5 -50q32 -42 24.5 -94.5t-49.5 -84.5q-98 -74 -151.5 -181t-53.5 -228q0 -104 40.5 -198.5t109.5 -163.5t163.5 -109.5 t198.5 -40.5t198.5 40.5t163.5 109.5t109.5 163.5t40.5 198.5q0 121 -53.5 228t-151.5 181q-42 32 -49.5 84.5t24.5 94.5q31 43 84 50t95 -25q146 -109 226.5 -270t80.5 -343zM896 1408v-640q0 -52 -38 -90t-90 -38t-90 38t-38 90v640q0 52 38 90t90 38t90 -38t38 -90z" />
<glyph unicode="&#xf012;" horiz-adv-x="1792" d="M256 96v-192q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h192q14 0 23 -9t9 -23zM640 224v-320q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v320q0 14 9 23t23 9h192q14 0 23 -9t9 -23zM1024 480v-576q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23 v576q0 14 9 23t23 9h192q14 0 23 -9t9 -23zM1408 864v-960q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v960q0 14 9 23t23 9h192q14 0 23 -9t9 -23zM1792 1376v-1472q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v1472q0 14 9 23t23 9h192q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf013;" d="M1024 640q0 106 -75 181t-181 75t-181 -75t-75 -181t75 -181t181 -75t181 75t75 181zM1536 749v-222q0 -12 -8 -23t-20 -13l-185 -28q-19 -54 -39 -91q35 -50 107 -138q10 -12 10 -25t-9 -23q-27 -37 -99 -108t-94 -71q-12 0 -26 9l-138 108q-44 -23 -91 -38 q-16 -136 -29 -186q-7 -28 -36 -28h-222q-14 0 -24.5 8.5t-11.5 21.5l-28 184q-49 16 -90 37l-141 -107q-10 -9 -25 -9q-14 0 -25 11q-126 114 -165 168q-7 10 -7 23q0 12 8 23q15 21 51 66.5t54 70.5q-27 50 -41 99l-183 27q-13 2 -21 12.5t-8 23.5v222q0 12 8 23t19 13 l186 28q14 46 39 92q-40 57 -107 138q-10 12 -10 24q0 10 9 23q26 36 98.5 107.5t94.5 71.5q13 0 26 -10l138 -107q44 23 91 38q16 136 29 186q7 28 36 28h222q14 0 24.5 -8.5t11.5 -21.5l28 -184q49 -16 90 -37l142 107q9 9 24 9q13 0 25 -10q129 -119 165 -170q7 -8 7 -22 q0 -12 -8 -23q-15 -21 -51 -66.5t-54 -70.5q26 -50 41 -98l183 -28q13 -2 21 -12.5t8 -23.5z" />
<glyph unicode="&#xf014;" horiz-adv-x="1408" d="M512 800v-576q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v576q0 14 9 23t23 9h64q14 0 23 -9t9 -23zM768 800v-576q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v576q0 14 9 23t23 9h64q14 0 23 -9t9 -23zM1024 800v-576q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v576 q0 14 9 23t23 9h64q14 0 23 -9t9 -23zM1152 76v948h-896v-948q0 -22 7 -40.5t14.5 -27t10.5 -8.5h832q3 0 10.5 8.5t14.5 27t7 40.5zM480 1152h448l-48 117q-7 9 -17 11h-317q-10 -2 -17 -11zM1408 1120v-64q0 -14 -9 -23t-23 -9h-96v-948q0 -83 -47 -143.5t-113 -60.5h-832 q-66 0 -113 58.5t-47 141.5v952h-96q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h309l70 167q15 37 54 63t79 26h320q40 0 79 -26t54 -63l70 -167h309q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf015;" horiz-adv-x="1664" d="M1408 544v-480q0 -26 -19 -45t-45 -19h-384v384h-256v-384h-384q-26 0 -45 19t-19 45v480q0 1 0.5 3t0.5 3l575 474l575 -474q1 -2 1 -6zM1631 613l-62 -74q-8 -9 -21 -11h-3q-13 0 -21 7l-692 577l-692 -577q-12 -8 -24 -7q-13 2 -21 11l-62 74q-8 10 -7 23.5t11 21.5 l719 599q32 26 76 26t76 -26l244 -204v195q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-408l219 -182q10 -8 11 -21.5t-7 -23.5z" />
<glyph unicode="&#xf016;" horiz-adv-x="1280" d="M128 0h1024v768h-416q-40 0 -68 28t-28 68v416h-512v-1280zM768 896h376q-10 29 -22 41l-313 313q-12 12 -41 22v-376zM1280 864v-896q0 -40 -28 -68t-68 -28h-1088q-40 0 -68 28t-28 68v1344q0 40 28 68t68 28h640q40 0 88 -20t76 -48l312 -312q28 -28 48 -76t20 -88z " />
<glyph unicode="&#xf017;" d="M896 992v-448q0 -14 -9 -23t-23 -9h-320q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h224v352q0 14 9 23t23 9h64q14 0 23 -9t9 -23zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf018;" horiz-adv-x="1920" d="M1111 540v4l-24 320q-1 13 -11 22.5t-23 9.5h-186q-13 0 -23 -9.5t-11 -22.5l-24 -320v-4q-1 -12 8 -20t21 -8h244q12 0 21 8t8 20zM1870 73q0 -73 -46 -73h-704q13 0 22 9.5t8 22.5l-20 256q-1 13 -11 22.5t-23 9.5h-272q-13 0 -23 -9.5t-11 -22.5l-20 -256 q-1 -13 8 -22.5t22 -9.5h-704q-46 0 -46 73q0 54 26 116l417 1044q8 19 26 33t38 14h339q-13 0 -23 -9.5t-11 -22.5l-15 -192q-1 -14 8 -23t22 -9h166q13 0 22 9t8 23l-15 192q-1 13 -11 22.5t-23 9.5h339q20 0 38 -14t26 -33l417 -1044q26 -62 26 -116z" />
<glyph unicode="&#xf019;" horiz-adv-x="1664" d="M1280 192q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1536 192q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1664 416v-320q0 -40 -28 -68t-68 -28h-1472q-40 0 -68 28t-28 68v320q0 40 28 68t68 28h465l135 -136 q58 -56 136 -56t136 56l136 136h464q40 0 68 -28t28 -68zM1339 985q17 -41 -14 -70l-448 -448q-18 -19 -45 -19t-45 19l-448 448q-31 29 -14 70q17 39 59 39h256v448q0 26 19 45t45 19h256q26 0 45 -19t19 -45v-448h256q42 0 59 -39z" />
<glyph unicode="&#xf01a;" d="M1120 608q0 -12 -10 -24l-319 -319q-11 -9 -23 -9t-23 9l-320 320q-15 16 -7 35q8 20 30 20h192v352q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-352h192q14 0 23 -9t9 -23zM768 1184q-148 0 -273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273 t-73 273t-198 198t-273 73zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf01b;" d="M1118 660q-8 -20 -30 -20h-192v-352q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v352h-192q-14 0 -23 9t-9 23q0 12 10 24l319 319q11 9 23 9t23 -9l320 -320q15 -16 7 -35zM768 1184q-148 0 -273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198 t73 273t-73 273t-198 198t-273 73zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf01c;" d="M1023 576h316q-1 3 -2.5 8t-2.5 8l-212 496h-708l-212 -496q-1 -2 -2.5 -8t-2.5 -8h316l95 -192h320zM1536 546v-482q0 -26 -19 -45t-45 -19h-1408q-26 0 -45 19t-19 45v482q0 62 25 123l238 552q10 25 36.5 42t52.5 17h832q26 0 52.5 -17t36.5 -42l238 -552 q25 -61 25 -123z" />
<glyph unicode="&#xf01d;" d="M1184 640q0 -37 -32 -55l-544 -320q-15 -9 -32 -9q-16 0 -32 8q-32 19 -32 56v640q0 37 32 56q33 18 64 -1l544 -320q32 -18 32 -55zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf01e;" d="M1536 1280v-448q0 -26 -19 -45t-45 -19h-448q-42 0 -59 40q-17 39 14 69l138 138q-148 137 -349 137q-104 0 -198.5 -40.5t-163.5 -109.5t-109.5 -163.5t-40.5 -198.5t40.5 -198.5t109.5 -163.5t163.5 -109.5t198.5 -40.5q119 0 225 52t179 147q7 10 23 12q14 0 25 -9 l137 -138q9 -8 9.5 -20.5t-7.5 -22.5q-109 -132 -264 -204.5t-327 -72.5q-156 0 -298 61t-245 164t-164 245t-61 298t61 298t164 245t245 164t298 61q147 0 284.5 -55.5t244.5 -156.5l130 129q29 31 70 14q39 -17 39 -59z" />
<glyph unicode="&#xf021;" d="M1511 480q0 -5 -1 -7q-64 -268 -268 -434.5t-478 -166.5q-146 0 -282.5 55t-243.5 157l-129 -129q-19 -19 -45 -19t-45 19t-19 45v448q0 26 19 45t45 19h448q26 0 45 -19t19 -45t-19 -45l-137 -137q71 -66 161 -102t187 -36q134 0 250 65t186 179q11 17 53 117 q8 23 30 23h192q13 0 22.5 -9.5t9.5 -22.5zM1536 1280v-448q0 -26 -19 -45t-45 -19h-448q-26 0 -45 19t-19 45t19 45l138 138q-148 137 -349 137q-134 0 -250 -65t-186 -179q-11 -17 -53 -117q-8 -23 -30 -23h-199q-13 0 -22.5 9.5t-9.5 22.5v7q65 268 270 434.5t480 166.5 q146 0 284 -55.5t245 -156.5l130 129q19 19 45 19t45 -19t19 -45z" />
<glyph unicode="&#xf022;" horiz-adv-x="1792" d="M384 352v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 608v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M384 864v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM1536 352v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-960q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h960q13 0 22.5 -9.5t9.5 -22.5z M1536 608v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-960q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h960q13 0 22.5 -9.5t9.5 -22.5zM1536 864v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-960q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h960q13 0 22.5 -9.5 t9.5 -22.5zM1664 160v832q0 13 -9.5 22.5t-22.5 9.5h-1472q-13 0 -22.5 -9.5t-9.5 -22.5v-832q0 -13 9.5 -22.5t22.5 -9.5h1472q13 0 22.5 9.5t9.5 22.5zM1792 1248v-1088q0 -66 -47 -113t-113 -47h-1472q-66 0 -113 47t-47 113v1088q0 66 47 113t113 47h1472q66 0 113 -47 t47 -113z" />
<glyph unicode="&#xf023;" horiz-adv-x="1152" d="M320 768h512v192q0 106 -75 181t-181 75t-181 -75t-75 -181v-192zM1152 672v-576q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68v576q0 40 28 68t68 28h32v192q0 184 132 316t316 132t316 -132t132 -316v-192h32q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf024;" horiz-adv-x="1792" d="M320 1280q0 -72 -64 -110v-1266q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v1266q-64 38 -64 110q0 53 37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1792 1216v-763q0 -25 -12.5 -38.5t-39.5 -27.5q-215 -116 -369 -116q-61 0 -123.5 22t-108.5 48 t-115.5 48t-142.5 22q-192 0 -464 -146q-17 -9 -33 -9q-26 0 -45 19t-19 45v742q0 32 31 55q21 14 79 43q236 120 421 120q107 0 200 -29t219 -88q38 -19 88 -19q54 0 117.5 21t110 47t88 47t54.5 21q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf025;" horiz-adv-x="1664" d="M1664 650q0 -166 -60 -314l-20 -49l-185 -33q-22 -83 -90.5 -136.5t-156.5 -53.5v-32q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v576q0 14 9 23t23 9h64q14 0 23 -9t9 -23v-32q71 0 130 -35.5t93 -95.5l68 12q29 95 29 193q0 148 -88 279t-236.5 209t-315.5 78 t-315.5 -78t-236.5 -209t-88 -279q0 -98 29 -193l68 -12q34 60 93 95.5t130 35.5v32q0 14 9 23t23 9h64q14 0 23 -9t9 -23v-576q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v32q-88 0 -156.5 53.5t-90.5 136.5l-185 33l-20 49q-60 148 -60 314q0 151 67 291t179 242.5 t266 163.5t320 61t320 -61t266 -163.5t179 -242.5t67 -291z" />
<glyph unicode="&#xf026;" horiz-adv-x="768" d="M768 1184v-1088q0 -26 -19 -45t-45 -19t-45 19l-333 333h-262q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h262l333 333q19 19 45 19t45 -19t19 -45z" />
<glyph unicode="&#xf027;" horiz-adv-x="1152" d="M768 1184v-1088q0 -26 -19 -45t-45 -19t-45 19l-333 333h-262q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h262l333 333q19 19 45 19t45 -19t19 -45zM1152 640q0 -76 -42.5 -141.5t-112.5 -93.5q-10 -5 -25 -5q-26 0 -45 18.5t-19 45.5q0 21 12 35.5t29 25t34 23t29 35.5 t12 57t-12 57t-29 35.5t-34 23t-29 25t-12 35.5q0 27 19 45.5t45 18.5q15 0 25 -5q70 -27 112.5 -93t42.5 -142z" />
<glyph unicode="&#xf028;" horiz-adv-x="1664" d="M768 1184v-1088q0 -26 -19 -45t-45 -19t-45 19l-333 333h-262q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h262l333 333q19 19 45 19t45 -19t19 -45zM1152 640q0 -76 -42.5 -141.5t-112.5 -93.5q-10 -5 -25 -5q-26 0 -45 18.5t-19 45.5q0 21 12 35.5t29 25t34 23t29 35.5 t12 57t-12 57t-29 35.5t-34 23t-29 25t-12 35.5q0 27 19 45.5t45 18.5q15 0 25 -5q70 -27 112.5 -93t42.5 -142zM1408 640q0 -153 -85 -282.5t-225 -188.5q-13 -5 -25 -5q-27 0 -46 19t-19 45q0 39 39 59q56 29 76 44q74 54 115.5 135.5t41.5 173.5t-41.5 173.5 t-115.5 135.5q-20 15 -76 44q-39 20 -39 59q0 26 19 45t45 19q13 0 26 -5q140 -59 225 -188.5t85 -282.5zM1664 640q0 -230 -127 -422.5t-338 -283.5q-13 -5 -26 -5q-26 0 -45 19t-19 45q0 36 39 59q7 4 22.5 10.5t22.5 10.5q46 25 82 51q123 91 192 227t69 289t-69 289 t-192 227q-36 26 -82 51q-7 4 -22.5 10.5t-22.5 10.5q-39 23 -39 59q0 26 19 45t45 19q13 0 26 -5q211 -91 338 -283.5t127 -422.5z" />
<glyph unicode="&#xf029;" horiz-adv-x="1408" d="M384 384v-128h-128v128h128zM384 1152v-128h-128v128h128zM1152 1152v-128h-128v128h128zM128 129h384v383h-384v-383zM128 896h384v384h-384v-384zM896 896h384v384h-384v-384zM640 640v-640h-640v640h640zM1152 128v-128h-128v128h128zM1408 128v-128h-128v128h128z M1408 640v-384h-384v128h-128v-384h-128v640h384v-128h128v128h128zM640 1408v-640h-640v640h640zM1408 1408v-640h-640v640h640z" />
<glyph unicode="&#xf02a;" horiz-adv-x="1792" d="M63 0h-63v1408h63v-1408zM126 1h-32v1407h32v-1407zM220 1h-31v1407h31v-1407zM377 1h-31v1407h31v-1407zM534 1h-62v1407h62v-1407zM660 1h-31v1407h31v-1407zM723 1h-31v1407h31v-1407zM786 1h-31v1407h31v-1407zM943 1h-63v1407h63v-1407zM1100 1h-63v1407h63v-1407z M1226 1h-63v1407h63v-1407zM1352 1h-63v1407h63v-1407zM1446 1h-63v1407h63v-1407zM1635 1h-94v1407h94v-1407zM1698 1h-32v1407h32v-1407zM1792 0h-63v1408h63v-1408z" />
<glyph unicode="&#xf02b;" d="M448 1088q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1515 512q0 -53 -37 -90l-491 -492q-39 -37 -91 -37q-53 0 -90 37l-715 716q-38 37 -64.5 101t-26.5 117v416q0 52 38 90t90 38h416q53 0 117 -26.5t102 -64.5 l715 -714q37 -39 37 -91z" />
<glyph unicode="&#xf02c;" horiz-adv-x="1920" d="M448 1088q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1515 512q0 -53 -37 -90l-491 -492q-39 -37 -91 -37q-53 0 -90 37l-715 716q-38 37 -64.5 101t-26.5 117v416q0 52 38 90t90 38h416q53 0 117 -26.5t102 -64.5 l715 -714q37 -39 37 -91zM1899 512q0 -53 -37 -90l-491 -492q-39 -37 -91 -37q-36 0 -59 14t-53 45l470 470q37 37 37 90q0 52 -37 91l-715 714q-38 38 -102 64.5t-117 26.5h224q53 0 117 -26.5t102 -64.5l715 -714q37 -39 37 -91z" />
<glyph unicode="&#xf02d;" horiz-adv-x="1664" d="M1639 1058q40 -57 18 -129l-275 -906q-19 -64 -76.5 -107.5t-122.5 -43.5h-923q-77 0 -148.5 53.5t-99.5 131.5q-24 67 -2 127q0 4 3 27t4 37q1 8 -3 21.5t-3 19.5q2 11 8 21t16.5 23.5t16.5 23.5q23 38 45 91.5t30 91.5q3 10 0.5 30t-0.5 28q3 11 17 28t17 23 q21 36 42 92t25 90q1 9 -2.5 32t0.5 28q4 13 22 30.5t22 22.5q19 26 42.5 84.5t27.5 96.5q1 8 -3 25.5t-2 26.5q2 8 9 18t18 23t17 21q8 12 16.5 30.5t15 35t16 36t19.5 32t26.5 23.5t36 11.5t47.5 -5.5l-1 -3q38 9 51 9h761q74 0 114 -56t18 -130l-274 -906 q-36 -119 -71.5 -153.5t-128.5 -34.5h-869q-27 0 -38 -15q-11 -16 -1 -43q24 -70 144 -70h923q29 0 56 15.5t35 41.5l300 987q7 22 5 57q38 -15 59 -43zM575 1056q-4 -13 2 -22.5t20 -9.5h608q13 0 25.5 9.5t16.5 22.5l21 64q4 13 -2 22.5t-20 9.5h-608q-13 0 -25.5 -9.5 t-16.5 -22.5zM492 800q-4 -13 2 -22.5t20 -9.5h608q13 0 25.5 9.5t16.5 22.5l21 64q4 13 -2 22.5t-20 9.5h-608q-13 0 -25.5 -9.5t-16.5 -22.5z" />
<glyph unicode="&#xf02e;" horiz-adv-x="1280" d="M1164 1408q23 0 44 -9q33 -13 52.5 -41t19.5 -62v-1289q0 -34 -19.5 -62t-52.5 -41q-19 -8 -44 -8q-48 0 -83 32l-441 424l-441 -424q-36 -33 -83 -33q-23 0 -44 9q-33 13 -52.5 41t-19.5 62v1289q0 34 19.5 62t52.5 41q21 9 44 9h1048z" />
<glyph unicode="&#xf02f;" horiz-adv-x="1664" d="M384 0h896v256h-896v-256zM384 640h896v384h-160q-40 0 -68 28t-28 68v160h-640v-640zM1536 576q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1664 576v-416q0 -13 -9.5 -22.5t-22.5 -9.5h-224v-160q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68 v160h-224q-13 0 -22.5 9.5t-9.5 22.5v416q0 79 56.5 135.5t135.5 56.5h64v544q0 40 28 68t68 28h672q40 0 88 -20t76 -48l152 -152q28 -28 48 -76t20 -88v-256h64q79 0 135.5 -56.5t56.5 -135.5z" />
<glyph unicode="&#xf030;" horiz-adv-x="1920" d="M960 864q119 0 203.5 -84.5t84.5 -203.5t-84.5 -203.5t-203.5 -84.5t-203.5 84.5t-84.5 203.5t84.5 203.5t203.5 84.5zM1664 1280q106 0 181 -75t75 -181v-896q0 -106 -75 -181t-181 -75h-1408q-106 0 -181 75t-75 181v896q0 106 75 181t181 75h224l51 136 q19 49 69.5 84.5t103.5 35.5h512q53 0 103.5 -35.5t69.5 -84.5l51 -136h224zM960 128q185 0 316.5 131.5t131.5 316.5t-131.5 316.5t-316.5 131.5t-316.5 -131.5t-131.5 -316.5t131.5 -316.5t316.5 -131.5z" />
<glyph unicode="&#xf031;" horiz-adv-x="1664" d="M725 977l-170 -450q73 -1 153.5 -2t119 -1.5t52.5 -0.5l29 2q-32 95 -92 241q-53 132 -92 211zM21 -128h-21l2 79q22 7 80 18q89 16 110 31q20 16 48 68l237 616l280 724h75h53l11 -21l205 -480q103 -242 124 -297q39 -102 96 -235q26 -58 65 -164q24 -67 65 -149 q22 -49 35 -57q22 -19 69 -23q47 -6 103 -27q6 -39 6 -57q0 -14 -1 -26q-80 0 -192 8q-93 8 -189 8q-79 0 -135 -2l-200 -11l-58 -2q0 45 4 78l131 28q56 13 68 23q12 12 12 27t-6 32l-47 114l-92 228l-450 2q-29 -65 -104 -274q-23 -64 -23 -84q0 -31 17 -43 q26 -21 103 -32q3 0 13.5 -2t30 -5t40.5 -6q1 -28 1 -58q0 -17 -2 -27q-66 0 -349 20l-48 -8q-81 -14 -167 -14z" />
<glyph unicode="&#xf032;" horiz-adv-x="1408" d="M555 15q76 -32 140 -32q131 0 216 41t122 113q38 70 38 181q0 114 -41 180q-58 94 -141 126q-80 32 -247 32q-74 0 -101 -10v-144l-1 -173l3 -270q0 -15 12 -44zM541 761q43 -7 109 -7q175 0 264 65t89 224q0 112 -85 187q-84 75 -255 75q-52 0 -130 -13q0 -44 2 -77 q7 -122 6 -279l-1 -98q0 -43 1 -77zM0 -128l2 94q45 9 68 12q77 12 123 31q17 27 21 51q9 66 9 194l-2 497q-5 256 -9 404q-1 87 -11 109q-1 4 -12 12q-18 12 -69 15q-30 2 -114 13l-4 83l260 6l380 13l45 1q5 0 14 0.5t14 0.5q1 0 21.5 -0.5t40.5 -0.5h74q88 0 191 -27 q43 -13 96 -39q57 -29 102 -76q44 -47 65 -104t21 -122q0 -70 -32 -128t-95 -105q-26 -20 -150 -77q177 -41 267 -146q92 -106 92 -236q0 -76 -29 -161q-21 -62 -71 -117q-66 -72 -140 -108q-73 -36 -203 -60q-82 -15 -198 -11l-197 4q-84 2 -298 -11q-33 -3 -272 -11z" />
<glyph unicode="&#xf033;" horiz-adv-x="1024" d="M0 -126l17 85q4 1 77 20q76 19 116 39q29 37 41 101l27 139l56 268l12 64q8 44 17 84.5t16 67t12.5 46.5t9 30.5t3.5 11.5l29 157l16 63l22 135l8 50v38q-41 22 -144 28q-28 2 -38 4l19 103l317 -14q39 -2 73 -2q66 0 214 9q33 2 68 4.5t36 2.5q-2 -19 -6 -38 q-7 -29 -13 -51q-55 -19 -109 -31q-64 -16 -101 -31q-12 -31 -24 -88q-9 -44 -13 -82q-44 -199 -66 -306l-61 -311l-38 -158l-43 -235l-12 -45q-2 -7 1 -27q64 -15 119 -21q36 -5 66 -10q-1 -29 -7 -58q-7 -31 -9 -41q-18 0 -23 -1q-24 -2 -42 -2q-9 0 -28 3q-19 4 -145 17 l-198 2q-41 1 -174 -11q-74 -7 -98 -9z" />
<glyph unicode="&#xf034;" horiz-adv-x="1792" d="M81 1407l54 -27q20 -5 211 -5h130l19 3l115 1l215 -1h293l34 -2q14 -1 28 7t21 16l7 8l42 1q15 0 28 -1v-104.5t1 -131.5l1 -100l-1 -58q0 -32 -4 -51q-39 -15 -68 -18q-25 43 -54 128q-8 24 -15.5 62.5t-11.5 65.5t-6 29q-13 15 -27 19q-7 2 -42.5 2t-103.5 -1t-111 -1 q-34 0 -67 -5q-10 -97 -8 -136l1 -152v-332l3 -359l-1 -147q-1 -46 11 -85q49 -25 89 -32q2 0 18 -5t44 -13t43 -12q30 -8 50 -18q5 -45 5 -50q0 -10 -3 -29q-14 -1 -34 -1q-110 0 -187 10q-72 8 -238 8q-88 0 -233 -14q-48 -4 -70 -4q-2 22 -2 26l-1 26v9q21 33 79 49 q139 38 159 50q9 21 12 56q8 192 6 433l-5 428q-1 62 -0.5 118.5t0.5 102.5t-2 57t-6 15q-6 5 -14 6q-38 6 -148 6q-43 0 -100 -13.5t-73 -24.5q-13 -9 -22 -33t-22 -75t-24 -84q-6 -19 -19.5 -32t-20.5 -13q-44 27 -56 44v297v86zM1744 128q33 0 42 -18.5t-11 -44.5 l-126 -162q-20 -26 -49 -26t-49 26l-126 162q-20 26 -11 44.5t42 18.5h80v1024h-80q-33 0 -42 18.5t11 44.5l126 162q20 26 49 26t49 -26l126 -162q20 -26 11 -44.5t-42 -18.5h-80v-1024h80z" />
<glyph unicode="&#xf035;" d="M81 1407l54 -27q20 -5 211 -5h130l19 3l115 1l446 -1h318l34 -2q14 -1 28 7t21 16l7 8l42 1q15 0 28 -1v-104.5t1 -131.5l1 -100l-1 -58q0 -32 -4 -51q-39 -15 -68 -18q-25 43 -54 128q-8 24 -15.5 62.5t-11.5 65.5t-6 29q-13 15 -27 19q-7 2 -58.5 2t-138.5 -1t-128 -1 q-94 0 -127 -5q-10 -97 -8 -136l1 -152v52l3 -359l-1 -147q-1 -46 11 -85q49 -25 89 -32q2 0 18 -5t44 -13t43 -12q30 -8 50 -18q5 -45 5 -50q0 -10 -3 -29q-14 -1 -34 -1q-110 0 -187 10q-72 8 -238 8q-82 0 -233 -13q-45 -5 -70 -5q-2 22 -2 26l-1 26v9q21 33 79 49 q139 38 159 50q9 21 12 56q6 137 6 433l-5 44q0 265 -2 278q-2 11 -6 15q-6 5 -14 6q-38 6 -148 6q-50 0 -168.5 -14t-132.5 -24q-13 -9 -22 -33t-22 -75t-24 -84q-6 -19 -19.5 -32t-20.5 -13q-44 27 -56 44v297v86zM1505 113q26 -20 26 -49t-26 -49l-162 -126 q-26 -20 -44.5 -11t-18.5 42v80h-1024v-80q0 -33 -18.5 -42t-44.5 11l-162 126q-26 20 -26 49t26 49l162 126q26 20 44.5 11t18.5 -42v-80h1024v80q0 33 18.5 42t44.5 -11z" />
<glyph unicode="&#xf036;" horiz-adv-x="1792" d="M1792 192v-128q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1408 576v-128q0 -26 -19 -45t-45 -19h-1280q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1280q26 0 45 -19t19 -45zM1664 960v-128q0 -26 -19 -45 t-45 -19h-1536q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1536q26 0 45 -19t19 -45zM1280 1344v-128q0 -26 -19 -45t-45 -19h-1152q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1152q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf037;" horiz-adv-x="1792" d="M1792 192v-128q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1408 576v-128q0 -26 -19 -45t-45 -19h-896q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h896q26 0 45 -19t19 -45zM1664 960v-128q0 -26 -19 -45t-45 -19 h-1408q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1408q26 0 45 -19t19 -45zM1280 1344v-128q0 -26 -19 -45t-45 -19h-640q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h640q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf038;" horiz-adv-x="1792" d="M1792 192v-128q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1792 576v-128q0 -26 -19 -45t-45 -19h-1280q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1280q26 0 45 -19t19 -45zM1792 960v-128q0 -26 -19 -45 t-45 -19h-1536q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1536q26 0 45 -19t19 -45zM1792 1344v-128q0 -26 -19 -45t-45 -19h-1152q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1152q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf039;" horiz-adv-x="1792" d="M1792 192v-128q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1792 576v-128q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1792 960v-128q0 -26 -19 -45 t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1792 1344v-128q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1664q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf03a;" horiz-adv-x="1792" d="M256 224v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-192q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h192q13 0 22.5 -9.5t9.5 -22.5zM256 608v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-192q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h192q13 0 22.5 -9.5 t9.5 -22.5zM256 992v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-192q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h192q13 0 22.5 -9.5t9.5 -22.5zM1792 224v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1344q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1344 q13 0 22.5 -9.5t9.5 -22.5zM256 1376v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-192q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h192q13 0 22.5 -9.5t9.5 -22.5zM1792 608v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1344q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5 t22.5 9.5h1344q13 0 22.5 -9.5t9.5 -22.5zM1792 992v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1344q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1344q13 0 22.5 -9.5t9.5 -22.5zM1792 1376v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1344q-13 0 -22.5 9.5t-9.5 22.5v192 q0 13 9.5 22.5t22.5 9.5h1344q13 0 22.5 -9.5t9.5 -22.5z" />
<glyph unicode="&#xf03b;" horiz-adv-x="1792" d="M384 992v-576q0 -13 -9.5 -22.5t-22.5 -9.5q-14 0 -23 9l-288 288q-9 9 -9 23t9 23l288 288q9 9 23 9q13 0 22.5 -9.5t9.5 -22.5zM1792 224v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1728q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1728q13 0 22.5 -9.5 t9.5 -22.5zM1792 608v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1088q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1088q13 0 22.5 -9.5t9.5 -22.5zM1792 992v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1088q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1088 q13 0 22.5 -9.5t9.5 -22.5zM1792 1376v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1728q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1728q13 0 22.5 -9.5t9.5 -22.5z" />
<glyph unicode="&#xf03c;" horiz-adv-x="1792" d="M352 704q0 -14 -9 -23l-288 -288q-9 -9 -23 -9q-13 0 -22.5 9.5t-9.5 22.5v576q0 13 9.5 22.5t22.5 9.5q14 0 23 -9l288 -288q9 -9 9 -23zM1792 224v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1728q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1728q13 0 22.5 -9.5 t9.5 -22.5zM1792 608v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1088q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1088q13 0 22.5 -9.5t9.5 -22.5zM1792 992v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1088q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1088 q13 0 22.5 -9.5t9.5 -22.5zM1792 1376v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1728q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1728q13 0 22.5 -9.5t9.5 -22.5z" />
<glyph unicode="&#xf03d;" horiz-adv-x="1792" d="M1792 1184v-1088q0 -42 -39 -59q-13 -5 -25 -5q-27 0 -45 19l-403 403v-166q0 -119 -84.5 -203.5t-203.5 -84.5h-704q-119 0 -203.5 84.5t-84.5 203.5v704q0 119 84.5 203.5t203.5 84.5h704q119 0 203.5 -84.5t84.5 -203.5v-165l403 402q18 19 45 19q12 0 25 -5 q39 -17 39 -59z" />
<glyph unicode="&#xf03e;" horiz-adv-x="1920" d="M640 960q0 -80 -56 -136t-136 -56t-136 56t-56 136t56 136t136 56t136 -56t56 -136zM1664 576v-448h-1408v192l320 320l160 -160l512 512zM1760 1280h-1600q-13 0 -22.5 -9.5t-9.5 -22.5v-1216q0 -13 9.5 -22.5t22.5 -9.5h1600q13 0 22.5 9.5t9.5 22.5v1216 q0 13 -9.5 22.5t-22.5 9.5zM1920 1248v-1216q0 -66 -47 -113t-113 -47h-1600q-66 0 -113 47t-47 113v1216q0 66 47 113t113 47h1600q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf040;" d="M363 0l91 91l-235 235l-91 -91v-107h128v-128h107zM886 928q0 22 -22 22q-10 0 -17 -7l-542 -542q-7 -7 -7 -17q0 -22 22 -22q10 0 17 7l542 542q7 7 7 17zM832 1120l416 -416l-832 -832h-416v416zM1515 1024q0 -53 -37 -90l-166 -166l-416 416l166 165q36 38 90 38 q53 0 91 -38l235 -234q37 -39 37 -91z" />
<glyph unicode="&#xf041;" horiz-adv-x="1024" d="M768 896q0 106 -75 181t-181 75t-181 -75t-75 -181t75 -181t181 -75t181 75t75 181zM1024 896q0 -109 -33 -179l-364 -774q-16 -33 -47.5 -52t-67.5 -19t-67.5 19t-46.5 52l-365 774q-33 70 -33 179q0 212 150 362t362 150t362 -150t150 -362z" />
<glyph unicode="&#xf042;" d="M768 96v1088q-148 0 -273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf043;" horiz-adv-x="1024" d="M512 384q0 36 -20 69q-1 1 -15.5 22.5t-25.5 38t-25 44t-21 50.5q-4 16 -21 16t-21 -16q-7 -23 -21 -50.5t-25 -44t-25.5 -38t-15.5 -22.5q-20 -33 -20 -69q0 -53 37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1024 512q0 -212 -150 -362t-362 -150t-362 150t-150 362 q0 145 81 275q6 9 62.5 90.5t101 151t99.5 178t83 201.5q9 30 34 47t51 17t51.5 -17t33.5 -47q28 -93 83 -201.5t99.5 -178t101 -151t62.5 -90.5q81 -127 81 -275z" />
<glyph unicode="&#xf044;" horiz-adv-x="1792" d="M888 352l116 116l-152 152l-116 -116v-56h96v-96h56zM1328 1072q-16 16 -33 -1l-350 -350q-17 -17 -1 -33t33 1l350 350q17 17 1 33zM1408 478v-190q0 -119 -84.5 -203.5t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h832 q63 0 117 -25q15 -7 18 -23q3 -17 -9 -29l-49 -49q-14 -14 -32 -8q-23 6 -45 6h-832q-66 0 -113 -47t-47 -113v-832q0 -66 47 -113t113 -47h832q66 0 113 47t47 113v126q0 13 9 22l64 64q15 15 35 7t20 -29zM1312 1216l288 -288l-672 -672h-288v288zM1756 1084l-92 -92 l-288 288l92 92q28 28 68 28t68 -28l152 -152q28 -28 28 -68t-28 -68z" />
<glyph unicode="&#xf045;" horiz-adv-x="1664" d="M1408 547v-259q0 -119 -84.5 -203.5t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h255v0q13 0 22.5 -9.5t9.5 -22.5q0 -27 -26 -32q-77 -26 -133 -60q-10 -4 -16 -4h-112q-66 0 -113 -47t-47 -113v-832q0 -66 47 -113t113 -47h832 q66 0 113 47t47 113v214q0 19 18 29q28 13 54 37q16 16 35 8q21 -9 21 -29zM1645 1043l-384 -384q-18 -19 -45 -19q-12 0 -25 5q-39 17 -39 59v192h-160q-323 0 -438 -131q-119 -137 -74 -473q3 -23 -20 -34q-8 -2 -12 -2q-16 0 -26 13q-10 14 -21 31t-39.5 68.5t-49.5 99.5 t-38.5 114t-17.5 122q0 49 3.5 91t14 90t28 88t47 81.5t68.5 74t94.5 61.5t124.5 48.5t159.5 30.5t196.5 11h160v192q0 42 39 59q13 5 25 5q26 0 45 -19l384 -384q19 -19 19 -45t-19 -45z" />
<glyph unicode="&#xf046;" horiz-adv-x="1664" d="M1408 606v-318q0 -119 -84.5 -203.5t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h832q63 0 117 -25q15 -7 18 -23q3 -17 -9 -29l-49 -49q-10 -10 -23 -10q-3 0 -9 2q-23 6 -45 6h-832q-66 0 -113 -47t-47 -113v-832 q0 -66 47 -113t113 -47h832q66 0 113 47t47 113v254q0 13 9 22l64 64q10 10 23 10q6 0 12 -3q20 -8 20 -29zM1639 1095l-814 -814q-24 -24 -57 -24t-57 24l-430 430q-24 24 -24 57t24 57l110 110q24 24 57 24t57 -24l263 -263l647 647q24 24 57 24t57 -24l110 -110 q24 -24 24 -57t-24 -57z" />
<glyph unicode="&#xf047;" horiz-adv-x="1792" d="M1792 640q0 -26 -19 -45l-256 -256q-19 -19 -45 -19t-45 19t-19 45v128h-384v-384h128q26 0 45 -19t19 -45t-19 -45l-256 -256q-19 -19 -45 -19t-45 19l-256 256q-19 19 -19 45t19 45t45 19h128v384h-384v-128q0 -26 -19 -45t-45 -19t-45 19l-256 256q-19 19 -19 45 t19 45l256 256q19 19 45 19t45 -19t19 -45v-128h384v384h-128q-26 0 -45 19t-19 45t19 45l256 256q19 19 45 19t45 -19l256 -256q19 -19 19 -45t-19 -45t-45 -19h-128v-384h384v128q0 26 19 45t45 19t45 -19l256 -256q19 -19 19 -45z" />
<glyph unicode="&#xf048;" horiz-adv-x="1024" d="M979 1395q19 19 32 13t13 -32v-1472q0 -26 -13 -32t-32 13l-710 710q-9 9 -13 19v-678q0 -26 -19 -45t-45 -19h-128q-26 0 -45 19t-19 45v1408q0 26 19 45t45 19h128q26 0 45 -19t19 -45v-678q4 11 13 19z" />
<glyph unicode="&#xf049;" horiz-adv-x="1792" d="M1747 1395q19 19 32 13t13 -32v-1472q0 -26 -13 -32t-32 13l-710 710q-9 9 -13 19v-710q0 -26 -13 -32t-32 13l-710 710q-9 9 -13 19v-678q0 -26 -19 -45t-45 -19h-128q-26 0 -45 19t-19 45v1408q0 26 19 45t45 19h128q26 0 45 -19t19 -45v-678q4 11 13 19l710 710 q19 19 32 13t13 -32v-710q4 11 13 19z" />
<glyph unicode="&#xf04a;" horiz-adv-x="1664" d="M1619 1395q19 19 32 13t13 -32v-1472q0 -26 -13 -32t-32 13l-710 710q-8 9 -13 19v-710q0 -26 -13 -32t-32 13l-710 710q-19 19 -19 45t19 45l710 710q19 19 32 13t13 -32v-710q5 11 13 19z" />
<glyph unicode="&#xf04b;" horiz-adv-x="1408" d="M1384 609l-1328 -738q-23 -13 -39.5 -3t-16.5 36v1472q0 26 16.5 36t39.5 -3l1328 -738q23 -13 23 -31t-23 -31z" />
<glyph unicode="&#xf04c;" d="M1536 1344v-1408q0 -26 -19 -45t-45 -19h-512q-26 0 -45 19t-19 45v1408q0 26 19 45t45 19h512q26 0 45 -19t19 -45zM640 1344v-1408q0 -26 -19 -45t-45 -19h-512q-26 0 -45 19t-19 45v1408q0 26 19 45t45 19h512q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf04d;" d="M1536 1344v-1408q0 -26 -19 -45t-45 -19h-1408q-26 0 -45 19t-19 45v1408q0 26 19 45t45 19h1408q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf04e;" horiz-adv-x="1664" d="M45 -115q-19 -19 -32 -13t-13 32v1472q0 26 13 32t32 -13l710 -710q8 -8 13 -19v710q0 26 13 32t32 -13l710 -710q19 -19 19 -45t-19 -45l-710 -710q-19 -19 -32 -13t-13 32v710q-5 -10 -13 -19z" />
<glyph unicode="&#xf050;" horiz-adv-x="1792" d="M45 -115q-19 -19 -32 -13t-13 32v1472q0 26 13 32t32 -13l710 -710q8 -8 13 -19v710q0 26 13 32t32 -13l710 -710q8 -8 13 -19v678q0 26 19 45t45 19h128q26 0 45 -19t19 -45v-1408q0 -26 -19 -45t-45 -19h-128q-26 0 -45 19t-19 45v678q-5 -10 -13 -19l-710 -710 q-19 -19 -32 -13t-13 32v710q-5 -10 -13 -19z" />
<glyph unicode="&#xf051;" horiz-adv-x="1024" d="M45 -115q-19 -19 -32 -13t-13 32v1472q0 26 13 32t32 -13l710 -710q8 -8 13 -19v678q0 26 19 45t45 19h128q26 0 45 -19t19 -45v-1408q0 -26 -19 -45t-45 -19h-128q-26 0 -45 19t-19 45v678q-5 -10 -13 -19z" />
<glyph unicode="&#xf052;" horiz-adv-x="1538" d="M14 557l710 710q19 19 45 19t45 -19l710 -710q19 -19 13 -32t-32 -13h-1472q-26 0 -32 13t13 32zM1473 0h-1408q-26 0 -45 19t-19 45v256q0 26 19 45t45 19h1408q26 0 45 -19t19 -45v-256q0 -26 -19 -45t-45 -19z" />
<glyph unicode="&#xf053;" horiz-adv-x="1152" d="M742 -37l-652 651q-37 37 -37 90.5t37 90.5l652 651q37 37 90.5 37t90.5 -37l75 -75q37 -37 37 -90.5t-37 -90.5l-486 -486l486 -485q37 -38 37 -91t-37 -90l-75 -75q-37 -37 -90.5 -37t-90.5 37z" />
<glyph unicode="&#xf054;" horiz-adv-x="1152" d="M1099 704q0 -52 -37 -91l-652 -651q-37 -37 -90 -37t-90 37l-76 75q-37 39 -37 91q0 53 37 90l486 486l-486 485q-37 39 -37 91q0 53 37 90l76 75q36 38 90 38t90 -38l652 -651q37 -37 37 -90z" />
<glyph unicode="&#xf055;" d="M1216 576v128q0 26 -19 45t-45 19h-256v256q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-256h-256q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h256v-256q0 -26 19 -45t45 -19h128q26 0 45 19t19 45v256h256q26 0 45 19t19 45zM1536 640q0 -209 -103 -385.5 t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf056;" d="M1216 576v128q0 26 -19 45t-45 19h-768q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h768q26 0 45 19t19 45zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5 t103 -385.5z" />
<glyph unicode="&#xf057;" d="M1149 414q0 26 -19 45l-181 181l181 181q19 19 19 45q0 27 -19 46l-90 90q-19 19 -46 19q-26 0 -45 -19l-181 -181l-181 181q-19 19 -45 19q-27 0 -46 -19l-90 -90q-19 -19 -19 -46q0 -26 19 -45l181 -181l-181 -181q-19 -19 -19 -45q0 -27 19 -46l90 -90q19 -19 46 -19 q26 0 45 19l181 181l181 -181q19 -19 45 -19q27 0 46 19l90 90q19 19 19 46zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf058;" d="M1284 802q0 28 -18 46l-91 90q-19 19 -45 19t-45 -19l-408 -407l-226 226q-19 19 -45 19t-45 -19l-91 -90q-18 -18 -18 -46q0 -27 18 -45l362 -362q19 -19 45 -19q27 0 46 19l543 543q18 18 18 45zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103 t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf059;" d="M896 160v192q0 14 -9 23t-23 9h-192q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h192q14 0 23 9t9 23zM1152 832q0 88 -55.5 163t-138.5 116t-170 41q-243 0 -371 -213q-15 -24 8 -42l132 -100q7 -6 19 -6q16 0 25 12q53 68 86 92q34 24 86 24q48 0 85.5 -26t37.5 -59 q0 -38 -20 -61t-68 -45q-63 -28 -115.5 -86.5t-52.5 -125.5v-36q0 -14 9 -23t23 -9h192q14 0 23 9t9 23q0 19 21.5 49.5t54.5 49.5q32 18 49 28.5t46 35t44.5 48t28 60.5t12.5 81zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5 t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf05a;" d="M1024 160v160q0 14 -9 23t-23 9h-96v512q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-160q0 -14 9 -23t23 -9h96v-320h-96q-14 0 -23 -9t-9 -23v-160q0 -14 9 -23t23 -9h448q14 0 23 9t9 23zM896 1056v160q0 14 -9 23t-23 9h-192q-14 0 -23 -9t-9 -23v-160q0 -14 9 -23 t23 -9h192q14 0 23 9t9 23zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf05b;" d="M1197 512h-109q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h109q-32 108 -112.5 188.5t-188.5 112.5v-109q0 -26 -19 -45t-45 -19h-128q-26 0 -45 19t-19 45v109q-108 -32 -188.5 -112.5t-112.5 -188.5h109q26 0 45 -19t19 -45v-128q0 -26 -19 -45t-45 -19h-109 q32 -108 112.5 -188.5t188.5 -112.5v109q0 26 19 45t45 19h128q26 0 45 -19t19 -45v-109q108 32 188.5 112.5t112.5 188.5zM1536 704v-128q0 -26 -19 -45t-45 -19h-143q-37 -161 -154.5 -278.5t-278.5 -154.5v-143q0 -26 -19 -45t-45 -19h-128q-26 0 -45 19t-19 45v143 q-161 37 -278.5 154.5t-154.5 278.5h-143q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h143q37 161 154.5 278.5t278.5 154.5v143q0 26 19 45t45 19h128q26 0 45 -19t19 -45v-143q161 -37 278.5 -154.5t154.5 -278.5h143q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf05c;" d="M1097 457l-146 -146q-10 -10 -23 -10t-23 10l-137 137l-137 -137q-10 -10 -23 -10t-23 10l-146 146q-10 10 -10 23t10 23l137 137l-137 137q-10 10 -10 23t10 23l146 146q10 10 23 10t23 -10l137 -137l137 137q10 10 23 10t23 -10l146 -146q10 -10 10 -23t-10 -23 l-137 -137l137 -137q10 -10 10 -23t-10 -23zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5 t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf05d;" d="M1171 723l-422 -422q-19 -19 -45 -19t-45 19l-294 294q-19 19 -19 45t19 45l102 102q19 19 45 19t45 -19l147 -147l275 275q19 19 45 19t45 -19l102 -102q19 -19 19 -45t-19 -45zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198t-73 -273t73 -273t198 -198 t273 -73t273 73t198 198t73 273zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf05e;" d="M1312 643q0 161 -87 295l-754 -753q137 -89 297 -89q111 0 211.5 43.5t173.5 116.5t116 174.5t43 212.5zM313 344l755 754q-135 91 -300 91q-148 0 -273 -73t-198 -199t-73 -274q0 -162 89 -299zM1536 643q0 -157 -61 -300t-163.5 -246t-245 -164t-298.5 -61t-298.5 61 t-245 164t-163.5 246t-61 300t61 299.5t163.5 245.5t245 164t298.5 61t298.5 -61t245 -164t163.5 -245.5t61 -299.5z" />
<glyph unicode="&#xf060;" d="M1536 640v-128q0 -53 -32.5 -90.5t-84.5 -37.5h-704l293 -294q38 -36 38 -90t-38 -90l-75 -76q-37 -37 -90 -37q-52 0 -91 37l-651 652q-37 37 -37 90q0 52 37 91l651 650q38 38 91 38q52 0 90 -38l75 -74q38 -38 38 -91t-38 -91l-293 -293h704q52 0 84.5 -37.5 t32.5 -90.5z" />
<glyph unicode="&#xf061;" d="M1472 576q0 -54 -37 -91l-651 -651q-39 -37 -91 -37q-51 0 -90 37l-75 75q-38 38 -38 91t38 91l293 293h-704q-52 0 -84.5 37.5t-32.5 90.5v128q0 53 32.5 90.5t84.5 37.5h704l-293 294q-38 36 -38 90t38 90l75 75q38 38 90 38q53 0 91 -38l651 -651q37 -35 37 -90z" />
<glyph unicode="&#xf062;" horiz-adv-x="1664" d="M1611 565q0 -51 -37 -90l-75 -75q-38 -38 -91 -38q-54 0 -90 38l-294 293v-704q0 -52 -37.5 -84.5t-90.5 -32.5h-128q-53 0 -90.5 32.5t-37.5 84.5v704l-294 -293q-36 -38 -90 -38t-90 38l-75 75q-38 38 -38 90q0 53 38 91l651 651q35 37 90 37q54 0 91 -37l651 -651 q37 -39 37 -91z" />
<glyph unicode="&#xf063;" horiz-adv-x="1664" d="M1611 704q0 -53 -37 -90l-651 -652q-39 -37 -91 -37q-53 0 -90 37l-651 652q-38 36 -38 90q0 53 38 91l74 75q39 37 91 37q53 0 90 -37l294 -294v704q0 52 38 90t90 38h128q52 0 90 -38t38 -90v-704l294 294q37 37 90 37q52 0 91 -37l75 -75q37 -39 37 -91z" />
<glyph unicode="&#xf064;" horiz-adv-x="1792" d="M1792 896q0 -26 -19 -45l-512 -512q-19 -19 -45 -19t-45 19t-19 45v256h-224q-98 0 -175.5 -6t-154 -21.5t-133 -42.5t-105.5 -69.5t-80 -101t-48.5 -138.5t-17.5 -181q0 -55 5 -123q0 -6 2.5 -23.5t2.5 -26.5q0 -15 -8.5 -25t-23.5 -10q-16 0 -28 17q-7 9 -13 22 t-13.5 30t-10.5 24q-127 285 -127 451q0 199 53 333q162 403 875 403h224v256q0 26 19 45t45 19t45 -19l512 -512q19 -19 19 -45z" />
<glyph unicode="&#xf065;" d="M755 480q0 -13 -10 -23l-332 -332l144 -144q19 -19 19 -45t-19 -45t-45 -19h-448q-26 0 -45 19t-19 45v448q0 26 19 45t45 19t45 -19l144 -144l332 332q10 10 23 10t23 -10l114 -114q10 -10 10 -23zM1536 1344v-448q0 -26 -19 -45t-45 -19t-45 19l-144 144l-332 -332 q-10 -10 -23 -10t-23 10l-114 114q-10 10 -10 23t10 23l332 332l-144 144q-19 19 -19 45t19 45t45 19h448q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf066;" d="M768 576v-448q0 -26 -19 -45t-45 -19t-45 19l-144 144l-332 -332q-10 -10 -23 -10t-23 10l-114 114q-10 10 -10 23t10 23l332 332l-144 144q-19 19 -19 45t19 45t45 19h448q26 0 45 -19t19 -45zM1523 1248q0 -13 -10 -23l-332 -332l144 -144q19 -19 19 -45t-19 -45 t-45 -19h-448q-26 0 -45 19t-19 45v448q0 26 19 45t45 19t45 -19l144 -144l332 332q10 10 23 10t23 -10l114 -114q10 -10 10 -23z" />
<glyph unicode="&#xf067;" horiz-adv-x="1408" d="M1408 800v-192q0 -40 -28 -68t-68 -28h-416v-416q0 -40 -28 -68t-68 -28h-192q-40 0 -68 28t-28 68v416h-416q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h416v416q0 40 28 68t68 28h192q40 0 68 -28t28 -68v-416h416q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf068;" horiz-adv-x="1408" d="M1408 800v-192q0 -40 -28 -68t-68 -28h-1216q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h1216q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf069;" horiz-adv-x="1664" d="M1482 486q46 -26 59.5 -77.5t-12.5 -97.5l-64 -110q-26 -46 -77.5 -59.5t-97.5 12.5l-266 153v-307q0 -52 -38 -90t-90 -38h-128q-52 0 -90 38t-38 90v307l-266 -153q-46 -26 -97.5 -12.5t-77.5 59.5l-64 110q-26 46 -12.5 97.5t59.5 77.5l266 154l-266 154 q-46 26 -59.5 77.5t12.5 97.5l64 110q26 46 77.5 59.5t97.5 -12.5l266 -153v307q0 52 38 90t90 38h128q52 0 90 -38t38 -90v-307l266 153q46 26 97.5 12.5t77.5 -59.5l64 -110q26 -46 12.5 -97.5t-59.5 -77.5l-266 -154z" />
<glyph unicode="&#xf06a;" d="M768 1408q209 0 385.5 -103t279.5 -279.5t103 -385.5t-103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103zM896 161v190q0 14 -9 23.5t-22 9.5h-192q-13 0 -23 -10t-10 -23v-190q0 -13 10 -23t23 -10h192 q13 0 22 9.5t9 23.5zM894 505l18 621q0 12 -10 18q-10 8 -24 8h-220q-14 0 -24 -8q-10 -6 -10 -18l17 -621q0 -10 10 -17.5t24 -7.5h185q14 0 23.5 7.5t10.5 17.5z" />
<glyph unicode="&#xf06b;" d="M928 180v56v468v192h-320v-192v-468v-56q0 -25 18 -38.5t46 -13.5h192q28 0 46 13.5t18 38.5zM472 1024h195l-126 161q-26 31 -69 31q-40 0 -68 -28t-28 -68t28 -68t68 -28zM1160 1120q0 40 -28 68t-68 28q-43 0 -69 -31l-125 -161h194q40 0 68 28t28 68zM1536 864v-320 q0 -14 -9 -23t-23 -9h-96v-416q0 -40 -28 -68t-68 -28h-1088q-40 0 -68 28t-28 68v416h-96q-14 0 -23 9t-9 23v320q0 14 9 23t23 9h440q-93 0 -158.5 65.5t-65.5 158.5t65.5 158.5t158.5 65.5q107 0 168 -77l128 -165l128 165q61 77 168 77q93 0 158.5 -65.5t65.5 -158.5 t-65.5 -158.5t-158.5 -65.5h440q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf06c;" horiz-adv-x="1792" d="M1280 832q0 26 -19 45t-45 19q-172 0 -318 -49.5t-259.5 -134t-235.5 -219.5q-19 -21 -19 -45q0 -26 19 -45t45 -19q24 0 45 19q27 24 74 71t67 66q137 124 268.5 176t313.5 52q26 0 45 19t19 45zM1792 1030q0 -95 -20 -193q-46 -224 -184.5 -383t-357.5 -268 q-214 -108 -438 -108q-148 0 -286 47q-15 5 -88 42t-96 37q-16 0 -39.5 -32t-45 -70t-52.5 -70t-60 -32q-30 0 -51 11t-31 24t-27 42q-2 4 -6 11t-5.5 10t-3 9.5t-1.5 13.5q0 35 31 73.5t68 65.5t68 56t31 48q0 4 -14 38t-16 44q-9 51 -9 104q0 115 43.5 220t119 184.5 t170.5 139t204 95.5q55 18 145 25.5t179.5 9t178.5 6t163.5 24t113.5 56.5l29.5 29.5t29.5 28t27 20t36.5 16t43.5 4.5q39 0 70.5 -46t47.5 -112t24 -124t8 -96z" />
<glyph unicode="&#xf06d;" horiz-adv-x="1408" d="M1408 -160v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-1344q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h1344q13 0 22.5 -9.5t9.5 -22.5zM1152 896q0 -78 -24.5 -144t-64 -112.5t-87.5 -88t-96 -77.5t-87.5 -72t-64 -81.5t-24.5 -96.5q0 -96 67 -224l-4 1l1 -1 q-90 41 -160 83t-138.5 100t-113.5 122.5t-72.5 150.5t-27.5 184q0 78 24.5 144t64 112.5t87.5 88t96 77.5t87.5 72t64 81.5t24.5 96.5q0 94 -66 224l3 -1l-1 1q90 -41 160 -83t138.5 -100t113.5 -122.5t72.5 -150.5t27.5 -184z" />
<glyph unicode="&#xf06e;" horiz-adv-x="1792" d="M1664 576q-152 236 -381 353q61 -104 61 -225q0 -185 -131.5 -316.5t-316.5 -131.5t-316.5 131.5t-131.5 316.5q0 121 61 225q-229 -117 -381 -353q133 -205 333.5 -326.5t434.5 -121.5t434.5 121.5t333.5 326.5zM944 960q0 20 -14 34t-34 14q-125 0 -214.5 -89.5 t-89.5 -214.5q0 -20 14 -34t34 -14t34 14t14 34q0 86 61 147t147 61q20 0 34 14t14 34zM1792 576q0 -34 -20 -69q-140 -230 -376.5 -368.5t-499.5 -138.5t-499.5 139t-376.5 368q-20 35 -20 69t20 69q140 229 376.5 368t499.5 139t499.5 -139t376.5 -368q20 -35 20 -69z" />
<glyph unicode="&#xf070;" horiz-adv-x="1792" d="M555 201l78 141q-87 63 -136 159t-49 203q0 121 61 225q-229 -117 -381 -353q167 -258 427 -375zM944 960q0 20 -14 34t-34 14q-125 0 -214.5 -89.5t-89.5 -214.5q0 -20 14 -34t34 -14t34 14t14 34q0 86 61 147t147 61q20 0 34 14t14 34zM1307 1151q0 -7 -1 -9 q-105 -188 -315 -566t-316 -567l-49 -89q-10 -16 -28 -16q-12 0 -134 70q-16 10 -16 28q0 12 44 87q-143 65 -263.5 173t-208.5 245q-20 31 -20 69t20 69q153 235 380 371t496 136q89 0 180 -17l54 97q10 16 28 16q5 0 18 -6t31 -15.5t33 -18.5t31.5 -18.5t19.5 -11.5 q16 -10 16 -27zM1344 704q0 -139 -79 -253.5t-209 -164.5l280 502q8 -45 8 -84zM1792 576q0 -35 -20 -69q-39 -64 -109 -145q-150 -172 -347.5 -267t-419.5 -95l74 132q212 18 392.5 137t301.5 307q-115 179 -282 294l63 112q95 -64 182.5 -153t144.5 -184q20 -34 20 -69z " />
<glyph unicode="&#xf071;" horiz-adv-x="1792" d="M1024 161v190q0 14 -9.5 23.5t-22.5 9.5h-192q-13 0 -22.5 -9.5t-9.5 -23.5v-190q0 -14 9.5 -23.5t22.5 -9.5h192q13 0 22.5 9.5t9.5 23.5zM1022 535l18 459q0 12 -10 19q-13 11 -24 11h-220q-11 0 -24 -11q-10 -7 -10 -21l17 -457q0 -10 10 -16.5t24 -6.5h185 q14 0 23.5 6.5t10.5 16.5zM1008 1469l768 -1408q35 -63 -2 -126q-17 -29 -46.5 -46t-63.5 -17h-1536q-34 0 -63.5 17t-46.5 46q-37 63 -2 126l768 1408q17 31 47 49t65 18t65 -18t47 -49z" />
<glyph unicode="&#xf072;" horiz-adv-x="1408" d="M1376 1376q44 -52 12 -148t-108 -172l-161 -161l160 -696q5 -19 -12 -33l-128 -96q-7 -6 -19 -6q-4 0 -7 1q-15 3 -21 16l-279 508l-259 -259l53 -194q5 -17 -8 -31l-96 -96q-9 -9 -23 -9h-2q-15 2 -24 13l-189 252l-252 189q-11 7 -13 23q-1 13 9 25l96 97q9 9 23 9 q6 0 8 -1l194 -53l259 259l-508 279q-14 8 -17 24q-2 16 9 27l128 128q14 13 30 8l665 -159l160 160q76 76 172 108t148 -12z" />
<glyph unicode="&#xf073;" horiz-adv-x="1664" d="M128 -128h288v288h-288v-288zM480 -128h320v288h-320v-288zM128 224h288v320h-288v-320zM480 224h320v320h-320v-320zM128 608h288v288h-288v-288zM864 -128h320v288h-320v-288zM480 608h320v288h-320v-288zM1248 -128h288v288h-288v-288zM864 224h320v320h-320v-320z M512 1088v288q0 13 -9.5 22.5t-22.5 9.5h-64q-13 0 -22.5 -9.5t-9.5 -22.5v-288q0 -13 9.5 -22.5t22.5 -9.5h64q13 0 22.5 9.5t9.5 22.5zM1248 224h288v320h-288v-320zM864 608h320v288h-320v-288zM1248 608h288v288h-288v-288zM1280 1088v288q0 13 -9.5 22.5t-22.5 9.5h-64 q-13 0 -22.5 -9.5t-9.5 -22.5v-288q0 -13 9.5 -22.5t22.5 -9.5h64q13 0 22.5 9.5t9.5 22.5zM1664 1152v-1280q0 -52 -38 -90t-90 -38h-1408q-52 0 -90 38t-38 90v1280q0 52 38 90t90 38h128v96q0 66 47 113t113 47h64q66 0 113 -47t47 -113v-96h384v96q0 66 47 113t113 47 h64q66 0 113 -47t47 -113v-96h128q52 0 90 -38t38 -90z" />
<glyph unicode="&#xf074;" horiz-adv-x="1792" d="M666 1055q-60 -92 -137 -273q-22 45 -37 72.5t-40.5 63.5t-51 56.5t-63 35t-81.5 14.5h-224q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h224q250 0 410 -225zM1792 256q0 -14 -9 -23l-320 -320q-9 -9 -23 -9q-13 0 -22.5 9.5t-9.5 22.5v192q-32 0 -85 -0.5t-81 -1t-73 1 t-71 5t-64 10.5t-63 18.5t-58 28.5t-59 40t-55 53.5t-56 69.5q59 93 136 273q22 -45 37 -72.5t40.5 -63.5t51 -56.5t63 -35t81.5 -14.5h256v192q0 14 9 23t23 9q12 0 24 -10l319 -319q9 -9 9 -23zM1792 1152q0 -14 -9 -23l-320 -320q-9 -9 -23 -9q-13 0 -22.5 9.5t-9.5 22.5 v192h-256q-48 0 -87 -15t-69 -45t-51 -61.5t-45 -77.5q-32 -62 -78 -171q-29 -66 -49.5 -111t-54 -105t-64 -100t-74 -83t-90 -68.5t-106.5 -42t-128 -16.5h-224q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h224q48 0 87 15t69 45t51 61.5t45 77.5q32 62 78 171q29 66 49.5 111 t54 105t64 100t74 83t90 68.5t106.5 42t128 16.5h256v192q0 14 9 23t23 9q12 0 24 -10l319 -319q9 -9 9 -23z" />
<glyph unicode="&#xf075;" horiz-adv-x="1792" d="M1792 640q0 -174 -120 -321.5t-326 -233t-450 -85.5q-70 0 -145 8q-198 -175 -460 -242q-49 -14 -114 -22q-17 -2 -30.5 9t-17.5 29v1q-3 4 -0.5 12t2 10t4.5 9.5l6 9t7 8.5t8 9q7 8 31 34.5t34.5 38t31 39.5t32.5 51t27 59t26 76q-157 89 -247.5 220t-90.5 281 q0 130 71 248.5t191 204.5t286 136.5t348 50.5q244 0 450 -85.5t326 -233t120 -321.5z" />
<glyph unicode="&#xf076;" d="M1536 704v-128q0 -201 -98.5 -362t-274 -251.5t-395.5 -90.5t-395.5 90.5t-274 251.5t-98.5 362v128q0 26 19 45t45 19h384q26 0 45 -19t19 -45v-128q0 -52 23.5 -90t53.5 -57t71 -30t64 -13t44 -2t44 2t64 13t71 30t53.5 57t23.5 90v128q0 26 19 45t45 19h384 q26 0 45 -19t19 -45zM512 1344v-384q0 -26 -19 -45t-45 -19h-384q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h384q26 0 45 -19t19 -45zM1536 1344v-384q0 -26 -19 -45t-45 -19h-384q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h384q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf077;" horiz-adv-x="1664" d="M1611 320q0 -53 -37 -90l-75 -75q-38 -38 -91 -38q-54 0 -90 38l-486 485l-486 -485q-36 -38 -90 -38t-90 38l-75 75q-38 36 -38 90q0 53 38 91l651 651q37 37 90 37q52 0 91 -37l650 -651q38 -38 38 -91z" />
<glyph unicode="&#xf078;" horiz-adv-x="1664" d="M1611 832q0 -53 -37 -90l-651 -651q-38 -38 -91 -38q-54 0 -90 38l-651 651q-38 36 -38 90q0 53 38 91l74 75q39 37 91 37q53 0 90 -37l486 -486l486 486q37 37 90 37q52 0 91 -37l75 -75q37 -39 37 -91z" />
<glyph unicode="&#xf079;" horiz-adv-x="1920" d="M1280 32q0 -13 -9.5 -22.5t-22.5 -9.5h-960q-8 0 -13.5 2t-9 7t-5.5 8t-3 11.5t-1 11.5v13v11v160v416h-192q-26 0 -45 19t-19 45q0 24 15 41l320 384q19 22 49 22t49 -22l320 -384q15 -17 15 -41q0 -26 -19 -45t-45 -19h-192v-384h576q16 0 25 -11l160 -192q7 -11 7 -21 zM1920 448q0 -24 -15 -41l-320 -384q-20 -23 -49 -23t-49 23l-320 384q-15 17 -15 41q0 26 19 45t45 19h192v384h-576q-16 0 -25 12l-160 192q-7 9 -7 20q0 13 9.5 22.5t22.5 9.5h960q8 0 13.5 -2t9 -7t5.5 -8t3 -11.5t1 -11.5v-13v-11v-160v-416h192q26 0 45 -19t19 -45z " />
<glyph unicode="&#xf07a;" horiz-adv-x="1664" d="M640 0q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1536 0q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1664 1088v-512q0 -24 -16 -42.5t-41 -21.5 l-1044 -122q1 -7 4.5 -21.5t6 -26.5t2.5 -22q0 -16 -24 -64h920q26 0 45 -19t19 -45t-19 -45t-45 -19h-1024q-26 0 -45 19t-19 45q0 14 11 39.5t29.5 59.5t20.5 38l-177 823h-204q-26 0 -45 19t-19 45t19 45t45 19h256q16 0 28.5 -6.5t20 -15.5t13 -24.5t7.5 -26.5 t5.5 -29.5t4.5 -25.5h1201q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf07b;" horiz-adv-x="1664" d="M1664 928v-704q0 -92 -66 -158t-158 -66h-1216q-92 0 -158 66t-66 158v960q0 92 66 158t158 66h320q92 0 158 -66t66 -158v-32h672q92 0 158 -66t66 -158z" />
<glyph unicode="&#xf07c;" horiz-adv-x="1920" d="M1879 584q0 -31 -31 -66l-336 -396q-43 -51 -120.5 -86.5t-143.5 -35.5h-1088q-34 0 -60.5 13t-26.5 43q0 31 31 66l336 396q43 51 120.5 86.5t143.5 35.5h1088q34 0 60.5 -13t26.5 -43zM1536 928v-160h-832q-94 0 -197 -47.5t-164 -119.5l-337 -396l-5 -6q0 4 -0.5 12.5 t-0.5 12.5v960q0 92 66 158t158 66h320q92 0 158 -66t66 -158v-32h544q92 0 158 -66t66 -158z" />
<glyph unicode="&#xf07d;" horiz-adv-x="768" d="M704 1216q0 -26 -19 -45t-45 -19h-128v-1024h128q26 0 45 -19t19 -45t-19 -45l-256 -256q-19 -19 -45 -19t-45 19l-256 256q-19 19 -19 45t19 45t45 19h128v1024h-128q-26 0 -45 19t-19 45t19 45l256 256q19 19 45 19t45 -19l256 -256q19 -19 19 -45z" />
<glyph unicode="&#xf07e;" horiz-adv-x="1792" d="M1792 640q0 -26 -19 -45l-256 -256q-19 -19 -45 -19t-45 19t-19 45v128h-1024v-128q0 -26 -19 -45t-45 -19t-45 19l-256 256q-19 19 -19 45t19 45l256 256q19 19 45 19t45 -19t19 -45v-128h1024v128q0 26 19 45t45 19t45 -19l256 -256q19 -19 19 -45z" />
<glyph unicode="&#xf080;" horiz-adv-x="1920" d="M512 512v-384h-256v384h256zM896 1024v-896h-256v896h256zM1280 768v-640h-256v640h256zM1664 1152v-1024h-256v1024h256zM1792 32v1216q0 13 -9.5 22.5t-22.5 9.5h-1600q-13 0 -22.5 -9.5t-9.5 -22.5v-1216q0 -13 9.5 -22.5t22.5 -9.5h1600q13 0 22.5 9.5t9.5 22.5z M1920 1248v-1216q0 -66 -47 -113t-113 -47h-1600q-66 0 -113 47t-47 113v1216q0 66 47 113t113 47h1600q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf081;" d="M1280 926q-56 -25 -121 -34q68 40 93 117q-65 -38 -134 -51q-61 66 -153 66q-87 0 -148.5 -61.5t-61.5 -148.5q0 -29 5 -48q-129 7 -242 65t-192 155q-29 -50 -29 -106q0 -114 91 -175q-47 1 -100 26v-2q0 -75 50 -133.5t123 -72.5q-29 -8 -51 -8q-13 0 -39 4 q21 -63 74.5 -104t121.5 -42q-116 -90 -261 -90q-26 0 -50 3q148 -94 322 -94q112 0 210 35.5t168 95t120.5 137t75 162t24.5 168.5q0 18 -1 27q63 45 105 109zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5 t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf082;" d="M1307 618l23 219h-198v109q0 49 15.5 68.5t71.5 19.5h110v219h-175q-152 0 -218 -72t-66 -213v-131h-131v-219h131v-635h262v635h175zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960 q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf083;" horiz-adv-x="1792" d="M928 704q0 14 -9 23t-23 9q-66 0 -113 -47t-47 -113q0 -14 9 -23t23 -9t23 9t9 23q0 40 28 68t68 28q14 0 23 9t9 23zM1152 574q0 -106 -75 -181t-181 -75t-181 75t-75 181t75 181t181 75t181 -75t75 -181zM128 0h1536v128h-1536v-128zM1280 574q0 159 -112.5 271.5 t-271.5 112.5t-271.5 -112.5t-112.5 -271.5t112.5 -271.5t271.5 -112.5t271.5 112.5t112.5 271.5zM256 1216h384v128h-384v-128zM128 1024h1536v118v138h-828l-64 -128h-644v-128zM1792 1280v-1280q0 -53 -37.5 -90.5t-90.5 -37.5h-1536q-53 0 -90.5 37.5t-37.5 90.5v1280 q0 53 37.5 90.5t90.5 37.5h1536q53 0 90.5 -37.5t37.5 -90.5z" />
<glyph unicode="&#xf084;" horiz-adv-x="1792" d="M832 1024q0 80 -56 136t-136 56t-136 -56t-56 -136q0 -42 19 -83q-41 19 -83 19q-80 0 -136 -56t-56 -136t56 -136t136 -56t136 56t56 136q0 42 -19 83q41 -19 83 -19q80 0 136 56t56 136zM1683 320q0 -17 -49 -66t-66 -49q-9 0 -28.5 16t-36.5 33t-38.5 40t-24.5 26 l-96 -96l220 -220q28 -28 28 -68q0 -42 -39 -81t-81 -39q-40 0 -68 28l-671 671q-176 -131 -365 -131q-163 0 -265.5 102.5t-102.5 265.5q0 160 95 313t248 248t313 95q163 0 265.5 -102.5t102.5 -265.5q0 -189 -131 -365l355 -355l96 96q-3 3 -26 24.5t-40 38.5t-33 36.5 t-16 28.5q0 17 49 66t66 49q13 0 23 -10q6 -6 46 -44.5t82 -79.5t86.5 -86t73 -78t28.5 -41z" />
<glyph unicode="&#xf085;" horiz-adv-x="1920" d="M896 640q0 106 -75 181t-181 75t-181 -75t-75 -181t75 -181t181 -75t181 75t75 181zM1664 128q0 52 -38 90t-90 38t-90 -38t-38 -90q0 -53 37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1664 1152q0 52 -38 90t-90 38t-90 -38t-38 -90q0 -53 37.5 -90.5t90.5 -37.5 t90.5 37.5t37.5 90.5zM1280 731v-185q0 -10 -7 -19.5t-16 -10.5l-155 -24q-11 -35 -32 -76q34 -48 90 -115q7 -10 7 -20q0 -12 -7 -19q-23 -30 -82.5 -89.5t-78.5 -59.5q-11 0 -21 7l-115 90q-37 -19 -77 -31q-11 -108 -23 -155q-7 -24 -30 -24h-186q-11 0 -20 7.5t-10 17.5 l-23 153q-34 10 -75 31l-118 -89q-7 -7 -20 -7q-11 0 -21 8q-144 133 -144 160q0 9 7 19q10 14 41 53t47 61q-23 44 -35 82l-152 24q-10 1 -17 9.5t-7 19.5v185q0 10 7 19.5t16 10.5l155 24q11 35 32 76q-34 48 -90 115q-7 11 -7 20q0 12 7 20q22 30 82 89t79 59q11 0 21 -7 l115 -90q34 18 77 32q11 108 23 154q7 24 30 24h186q11 0 20 -7.5t10 -17.5l23 -153q34 -10 75 -31l118 89q8 7 20 7q11 0 21 -8q144 -133 144 -160q0 -9 -7 -19q-12 -16 -42 -54t-45 -60q23 -48 34 -82l152 -23q10 -2 17 -10.5t7 -19.5zM1920 198v-140q0 -16 -149 -31 q-12 -27 -30 -52q51 -113 51 -138q0 -4 -4 -7q-122 -71 -124 -71q-8 0 -46 47t-52 68q-20 -2 -30 -2t-30 2q-14 -21 -52 -68t-46 -47q-2 0 -124 71q-4 3 -4 7q0 25 51 138q-18 25 -30 52q-149 15 -149 31v140q0 16 149 31q13 29 30 52q-51 113 -51 138q0 4 4 7q4 2 35 20 t59 34t30 16q8 0 46 -46.5t52 -67.5q20 2 30 2t30 -2q51 71 92 112l6 2q4 0 124 -70q4 -3 4 -7q0 -25 -51 -138q17 -23 30 -52q149 -15 149 -31zM1920 1222v-140q0 -16 -149 -31q-12 -27 -30 -52q51 -113 51 -138q0 -4 -4 -7q-122 -71 -124 -71q-8 0 -46 47t-52 68 q-20 -2 -30 -2t-30 2q-14 -21 -52 -68t-46 -47q-2 0 -124 71q-4 3 -4 7q0 25 51 138q-18 25 -30 52q-149 15 -149 31v140q0 16 149 31q13 29 30 52q-51 113 -51 138q0 4 4 7q4 2 35 20t59 34t30 16q8 0 46 -46.5t52 -67.5q20 2 30 2t30 -2q51 71 92 112l6 2q4 0 124 -70 q4 -3 4 -7q0 -25 -51 -138q17 -23 30 -52q149 -15 149 -31z" />
<glyph unicode="&#xf086;" horiz-adv-x="1792" d="M1408 768q0 -139 -94 -257t-256.5 -186.5t-353.5 -68.5q-86 0 -176 16q-124 -88 -278 -128q-36 -9 -86 -16h-3q-11 0 -20.5 8t-11.5 21q-1 3 -1 6.5t0.5 6.5t2 6l2.5 5t3.5 5.5t4 5t4.5 5t4 4.5q5 6 23 25t26 29.5t22.5 29t25 38.5t20.5 44q-124 72 -195 177t-71 224 q0 139 94 257t256.5 186.5t353.5 68.5t353.5 -68.5t256.5 -186.5t94 -257zM1792 512q0 -120 -71 -224.5t-195 -176.5q10 -24 20.5 -44t25 -38.5t22.5 -29t26 -29.5t23 -25q1 -1 4 -4.5t4.5 -5t4 -5t3.5 -5.5l2.5 -5t2 -6t0.5 -6.5t-1 -6.5q-3 -14 -13 -22t-22 -7 q-50 7 -86 16q-154 40 -278 128q-90 -16 -176 -16q-271 0 -472 132q58 -4 88 -4q161 0 309 45t264 129q125 92 192 212t67 254q0 77 -23 152q129 -71 204 -178t75 -230z" />
<glyph unicode="&#xf087;" d="M256 192q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1408 768q0 51 -39 89.5t-89 38.5h-352q0 58 48 159.5t48 160.5q0 98 -32 145t-128 47q-26 -26 -38 -85t-30.5 -125.5t-59.5 -109.5q-22 -23 -77 -91q-4 -5 -23 -30t-31.5 -41t-34.5 -42.5 t-40 -44t-38.5 -35.5t-40 -27t-35.5 -9h-32v-640h32q13 0 31.5 -3t33 -6.5t38 -11t35 -11.5t35.5 -12.5t29 -10.5q211 -73 342 -73h121q192 0 192 167q0 26 -5 56q30 16 47.5 52.5t17.5 73.5t-18 69q53 50 53 119q0 25 -10 55.5t-25 47.5q32 1 53.5 47t21.5 81zM1536 769 q0 -89 -49 -163q9 -33 9 -69q0 -77 -38 -144q3 -21 3 -43q0 -101 -60 -178q1 -139 -85 -219.5t-227 -80.5h-36h-93q-96 0 -189.5 22.5t-216.5 65.5q-116 40 -138 40h-288q-53 0 -90.5 37.5t-37.5 90.5v640q0 53 37.5 90.5t90.5 37.5h274q36 24 137 155q58 75 107 128 q24 25 35.5 85.5t30.5 126.5t62 108q39 37 90 37q84 0 151 -32.5t102 -101.5t35 -186q0 -93 -48 -192h176q104 0 180 -76t76 -179z" />
<glyph unicode="&#xf088;" d="M256 1088q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1408 512q0 35 -21.5 81t-53.5 47q15 17 25 47.5t10 55.5q0 69 -53 119q18 32 18 69t-17.5 73.5t-47.5 52.5q5 30 5 56q0 85 -49 126t-136 41h-128q-131 0 -342 -73q-5 -2 -29 -10.5 t-35.5 -12.5t-35 -11.5t-38 -11t-33 -6.5t-31.5 -3h-32v-640h32q16 0 35.5 -9t40 -27t38.5 -35.5t40 -44t34.5 -42.5t31.5 -41t23 -30q55 -68 77 -91q41 -43 59.5 -109.5t30.5 -125.5t38 -85q96 0 128 47t32 145q0 59 -48 160.5t-48 159.5h352q50 0 89 38.5t39 89.5z M1536 511q0 -103 -76 -179t-180 -76h-176q48 -99 48 -192q0 -118 -35 -186q-35 -69 -102 -101.5t-151 -32.5q-51 0 -90 37q-34 33 -54 82t-25.5 90.5t-17.5 84.5t-31 64q-48 50 -107 127q-101 131 -137 155h-274q-53 0 -90.5 37.5t-37.5 90.5v640q0 53 37.5 90.5t90.5 37.5 h288q22 0 138 40q128 44 223 66t200 22h112q140 0 226.5 -79t85.5 -216v-5q60 -77 60 -178q0 -22 -3 -43q38 -67 38 -144q0 -36 -9 -69q49 -74 49 -163z" />
<glyph unicode="&#xf089;" horiz-adv-x="896" d="M832 1504v-1339l-449 -236q-22 -12 -40 -12q-21 0 -31.5 14.5t-10.5 35.5q0 6 2 20l86 500l-364 354q-25 27 -25 48q0 37 56 46l502 73l225 455q19 41 49 41z" />
<glyph unicode="&#xf08a;" horiz-adv-x="1792" d="M1664 940q0 81 -21.5 143t-55 98.5t-81.5 59.5t-94 31t-98 8t-112 -25.5t-110.5 -64t-86.5 -72t-60 -61.5q-18 -22 -49 -22t-49 22q-24 28 -60 61.5t-86.5 72t-110.5 64t-112 25.5t-98 -8t-94 -31t-81.5 -59.5t-55 -98.5t-21.5 -143q0 -168 187 -355l581 -560l580 559 q188 188 188 356zM1792 940q0 -221 -229 -450l-623 -600q-18 -18 -44 -18t-44 18l-624 602q-10 8 -27.5 26t-55.5 65.5t-68 97.5t-53.5 121t-23.5 138q0 220 127 344t351 124q62 0 126.5 -21.5t120 -58t95.5 -68.5t76 -68q36 36 76 68t95.5 68.5t120 58t126.5 21.5 q224 0 351 -124t127 -344z" />
<glyph unicode="&#xf08b;" horiz-adv-x="1664" d="M640 96q0 -4 1 -20t0.5 -26.5t-3 -23.5t-10 -19.5t-20.5 -6.5h-320q-119 0 -203.5 84.5t-84.5 203.5v704q0 119 84.5 203.5t203.5 84.5h320q13 0 22.5 -9.5t9.5 -22.5q0 -4 1 -20t0.5 -26.5t-3 -23.5t-10 -19.5t-20.5 -6.5h-320q-66 0 -113 -47t-47 -113v-704 q0 -66 47 -113t113 -47h288h11h13t11.5 -1t11.5 -3t8 -5.5t7 -9t2 -13.5zM1568 640q0 -26 -19 -45l-544 -544q-19 -19 -45 -19t-45 19t-19 45v288h-448q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h448v288q0 26 19 45t45 19t45 -19l544 -544q19 -19 19 -45z" />
<glyph unicode="&#xf08c;" d="M237 122h231v694h-231v-694zM483 1030q-1 52 -36 86t-93 34t-94.5 -34t-36.5 -86q0 -51 35.5 -85.5t92.5 -34.5h1q59 0 95 34.5t36 85.5zM1068 122h231v398q0 154 -73 233t-193 79q-136 0 -209 -117h2v101h-231q3 -66 0 -694h231v388q0 38 7 56q15 35 45 59.5t74 24.5 q116 0 116 -157v-371zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf08d;" horiz-adv-x="1152" d="M480 672v448q0 14 -9 23t-23 9t-23 -9t-9 -23v-448q0 -14 9 -23t23 -9t23 9t9 23zM1152 320q0 -26 -19 -45t-45 -19h-429l-51 -483q-2 -12 -10.5 -20.5t-20.5 -8.5h-1q-27 0 -32 27l-76 485h-404q-26 0 -45 19t-19 45q0 123 78.5 221.5t177.5 98.5v512q-52 0 -90 38 t-38 90t38 90t90 38h640q52 0 90 -38t38 -90t-38 -90t-90 -38v-512q99 0 177.5 -98.5t78.5 -221.5z" />
<glyph unicode="&#xf08e;" horiz-adv-x="1792" d="M1408 608v-320q0 -119 -84.5 -203.5t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h704q14 0 23 -9t9 -23v-64q0 -14 -9 -23t-23 -9h-704q-66 0 -113 -47t-47 -113v-832q0 -66 47 -113t113 -47h832q66 0 113 47t47 113v320 q0 14 9 23t23 9h64q14 0 23 -9t9 -23zM1792 1472v-512q0 -26 -19 -45t-45 -19t-45 19l-176 176l-652 -652q-10 -10 -23 -10t-23 10l-114 114q-10 10 -10 23t10 23l652 652l-176 176q-19 19 -19 45t19 45t45 19h512q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf090;" d="M1184 640q0 -26 -19 -45l-544 -544q-19 -19 -45 -19t-45 19t-19 45v288h-448q-26 0 -45 19t-19 45v384q0 26 19 45t45 19h448v288q0 26 19 45t45 19t45 -19l544 -544q19 -19 19 -45zM1536 992v-704q0 -119 -84.5 -203.5t-203.5 -84.5h-320q-13 0 -22.5 9.5t-9.5 22.5 q0 4 -1 20t-0.5 26.5t3 23.5t10 19.5t20.5 6.5h320q66 0 113 47t47 113v704q0 66 -47 113t-113 47h-288h-11h-13t-11.5 1t-11.5 3t-8 5.5t-7 9t-2 13.5q0 4 -1 20t-0.5 26.5t3 23.5t10 19.5t20.5 6.5h320q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf091;" horiz-adv-x="1664" d="M458 653q-74 162 -74 371h-256v-96q0 -78 94.5 -162t235.5 -113zM1536 928v96h-256q0 -209 -74 -371q141 29 235.5 113t94.5 162zM1664 1056v-128q0 -71 -41.5 -143t-112 -130t-173 -97.5t-215.5 -44.5q-42 -54 -95 -95q-38 -34 -52.5 -72.5t-14.5 -89.5q0 -54 30.5 -91 t97.5 -37q75 0 133.5 -45.5t58.5 -114.5v-64q0 -14 -9 -23t-23 -9h-832q-14 0 -23 9t-9 23v64q0 69 58.5 114.5t133.5 45.5q67 0 97.5 37t30.5 91q0 51 -14.5 89.5t-52.5 72.5q-53 41 -95 95q-113 5 -215.5 44.5t-173 97.5t-112 130t-41.5 143v128q0 40 28 68t68 28h288v96 q0 66 47 113t113 47h576q66 0 113 -47t47 -113v-96h288q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf092;" d="M394 184q-8 -9 -20 3q-13 11 -4 19q8 9 20 -3q12 -11 4 -19zM352 245q9 -12 0 -19q-8 -6 -17 7t0 18q9 7 17 -6zM291 305q-5 -7 -13 -2q-10 5 -7 12q3 5 13 2q10 -5 7 -12zM322 271q-6 -7 -16 3q-9 11 -2 16q6 6 16 -3q9 -11 2 -16zM451 159q-4 -12 -19 -6q-17 4 -13 15 t19 7q16 -5 13 -16zM514 154q0 -11 -16 -11q-17 -2 -17 11q0 11 16 11q17 2 17 -11zM572 164q2 -10 -14 -14t-18 8t14 15q16 2 18 -9zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-224q-16 0 -24.5 1t-19.5 5t-16 14.5t-5 27.5v239q0 97 -52 142q57 6 102.5 18t94 39 t81 66.5t53 105t20.5 150.5q0 121 -79 206q37 91 -8 204q-28 9 -81 -11t-92 -44l-38 -24q-93 26 -192 26t-192 -26q-16 11 -42.5 27t-83.5 38.5t-86 13.5q-44 -113 -7 -204q-79 -85 -79 -206q0 -85 20.5 -150t52.5 -105t80.5 -67t94 -39t102.5 -18q-40 -36 -49 -103 q-21 -10 -45 -15t-57 -5t-65.5 21.5t-55.5 62.5q-19 32 -48.5 52t-49.5 24l-20 3q-21 0 -29 -4.5t-5 -11.5t9 -14t13 -12l7 -5q22 -10 43.5 -38t31.5 -51l10 -23q13 -38 44 -61.5t67 -30t69.5 -7t55.5 3.5l23 4q0 -38 0.5 -103t0.5 -68q0 -22 -11 -33.5t-22 -13t-33 -1.5 h-224q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf093;" horiz-adv-x="1664" d="M1280 64q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1536 64q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1664 288v-320q0 -40 -28 -68t-68 -28h-1472q-40 0 -68 28t-28 68v320q0 40 28 68t68 28h427q21 -56 70.5 -92 t110.5 -36h256q61 0 110.5 36t70.5 92h427q40 0 68 -28t28 -68zM1339 936q-17 -40 -59 -40h-256v-448q0 -26 -19 -45t-45 -19h-256q-26 0 -45 19t-19 45v448h-256q-42 0 -59 40q-17 39 14 69l448 448q18 19 45 19t45 -19l448 -448q31 -30 14 -69z" />
<glyph unicode="&#xf094;" d="M1407 710q0 44 -7 113.5t-18 96.5q-12 30 -17 44t-9 36.5t-4 48.5q0 23 5 68.5t5 67.5q0 37 -10 55q-4 1 -13 1q-19 0 -58 -4.5t-59 -4.5q-60 0 -176 24t-175 24q-43 0 -94.5 -11.5t-85 -23.5t-89.5 -34q-137 -54 -202 -103q-96 -73 -159.5 -189.5t-88 -236t-24.5 -248.5 q0 -40 12.5 -120t12.5 -121q0 -23 -11 -66.5t-11 -65.5t12 -36.5t34 -14.5q24 0 72.5 11t73.5 11q57 0 169.5 -15.5t169.5 -15.5q181 0 284 36q129 45 235.5 152.5t166 245.5t59.5 275zM1535 712q0 -165 -70 -327.5t-196 -288t-281 -180.5q-124 -44 -326 -44 q-57 0 -170 14.5t-169 14.5q-24 0 -72.5 -14.5t-73.5 -14.5q-73 0 -123.5 55.5t-50.5 128.5q0 24 11 68t11 67q0 40 -12.5 120.5t-12.5 121.5q0 111 18 217.5t54.5 209.5t100.5 194t150 156q78 59 232 120q194 78 316 78q60 0 175.5 -24t173.5 -24q19 0 57 5t58 5 q81 0 118 -50.5t37 -134.5q0 -23 -5 -68t-5 -68q0 -10 1 -18.5t3 -17t4 -13.5t6.5 -16t6.5 -17q16 -40 25 -118.5t9 -136.5z" />
<glyph unicode="&#xf095;" horiz-adv-x="1408" d="M1408 296q0 -27 -10 -70.5t-21 -68.5q-21 -50 -122 -106q-94 -51 -186 -51q-27 0 -52.5 3.5t-57.5 12.5t-47.5 14.5t-55.5 20.5t-49 18q-98 35 -175 83q-128 79 -264.5 215.5t-215.5 264.5q-48 77 -83 175q-3 9 -18 49t-20.5 55.5t-14.5 47.5t-12.5 57.5t-3.5 52.5 q0 92 51 186q56 101 106 122q25 11 68.5 21t70.5 10q14 0 21 -3q18 -6 53 -76q11 -19 30 -54t35 -63.5t31 -53.5q3 -4 17.5 -25t21.5 -35.5t7 -28.5q0 -20 -28.5 -50t-62 -55t-62 -53t-28.5 -46q0 -9 5 -22.5t8.5 -20.5t14 -24t11.5 -19q76 -137 174 -235t235 -174 q2 -1 19 -11.5t24 -14t20.5 -8.5t22.5 -5q18 0 46 28.5t53 62t55 62t50 28.5q14 0 28.5 -7t35.5 -21.5t25 -17.5q25 -15 53.5 -31t63.5 -35t54 -30q70 -35 76 -53q3 -7 3 -21z" />
<glyph unicode="&#xf096;" horiz-adv-x="1408" d="M1120 1280h-832q-66 0 -113 -47t-47 -113v-832q0 -66 47 -113t113 -47h832q66 0 113 47t47 113v832q0 66 -47 113t-113 47zM1408 1120v-832q0 -119 -84.5 -203.5t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h832 q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf097;" horiz-adv-x="1280" d="M1152 1280h-1024v-1242l423 406l89 85l89 -85l423 -406v1242zM1164 1408q23 0 44 -9q33 -13 52.5 -41t19.5 -62v-1289q0 -34 -19.5 -62t-52.5 -41q-19 -8 -44 -8q-48 0 -83 32l-441 424l-441 -424q-36 -33 -83 -33q-23 0 -44 9q-33 13 -52.5 41t-19.5 62v1289 q0 34 19.5 62t52.5 41q21 9 44 9h1048z" />
<glyph unicode="&#xf098;" d="M1280 343q0 11 -2 16q-3 8 -38.5 29.5t-88.5 49.5l-53 29q-5 3 -19 13t-25 15t-21 5q-18 0 -47 -32.5t-57 -65.5t-44 -33q-7 0 -16.5 3.5t-15.5 6.5t-17 9.5t-14 8.5q-99 55 -170.5 126.5t-126.5 170.5q-2 3 -8.5 14t-9.5 17t-6.5 15.5t-3.5 16.5q0 13 20.5 33.5t45 38.5 t45 39.5t20.5 36.5q0 10 -5 21t-15 25t-13 19q-3 6 -15 28.5t-25 45.5t-26.5 47.5t-25 40.5t-16.5 18t-16 2q-48 0 -101 -22q-46 -21 -80 -94.5t-34 -130.5q0 -16 2.5 -34t5 -30.5t9 -33t10 -29.5t12.5 -33t11 -30q60 -164 216.5 -320.5t320.5 -216.5q6 -2 30 -11t33 -12.5 t29.5 -10t33 -9t30.5 -5t34 -2.5q57 0 130.5 34t94.5 80q22 53 22 101zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf099;" horiz-adv-x="1664" d="M1620 1128q-67 -98 -162 -167q1 -14 1 -42q0 -130 -38 -259.5t-115.5 -248.5t-184.5 -210.5t-258 -146t-323 -54.5q-271 0 -496 145q35 -4 78 -4q225 0 401 138q-105 2 -188 64.5t-114 159.5q33 -5 61 -5q43 0 85 11q-112 23 -185.5 111.5t-73.5 205.5v4q68 -38 146 -41 q-66 44 -105 115t-39 154q0 88 44 163q121 -149 294.5 -238.5t371.5 -99.5q-8 38 -8 74q0 134 94.5 228.5t228.5 94.5q140 0 236 -102q109 21 205 78q-37 -115 -142 -178q93 10 186 50z" />
<glyph unicode="&#xf09a;" horiz-adv-x="768" d="M511 980h257l-30 -284h-227v-824h-341v824h-170v284h170v171q0 182 86 275.5t283 93.5h227v-284h-142q-39 0 -62.5 -6.5t-34 -23.5t-13.5 -34.5t-3 -49.5v-142z" />
<glyph unicode="&#xf09b;" d="M1536 640q0 -251 -146.5 -451.5t-378.5 -277.5q-27 -5 -39.5 7t-12.5 30v211q0 97 -52 142q57 6 102.5 18t94 39t81 66.5t53 105t20.5 150.5q0 121 -79 206q37 91 -8 204q-28 9 -81 -11t-92 -44l-38 -24q-93 26 -192 26t-192 -26q-16 11 -42.5 27t-83.5 38.5t-86 13.5 q-44 -113 -7 -204q-79 -85 -79 -206q0 -85 20.5 -150t52.5 -105t80.5 -67t94 -39t102.5 -18q-40 -36 -49 -103q-21 -10 -45 -15t-57 -5t-65.5 21.5t-55.5 62.5q-19 32 -48.5 52t-49.5 24l-20 3q-21 0 -29 -4.5t-5 -11.5t9 -14t13 -12l7 -5q22 -10 43.5 -38t31.5 -51l10 -23 q13 -38 44 -61.5t67 -30t69.5 -7t55.5 3.5l23 4q0 -38 0.5 -89t0.5 -54q0 -18 -13 -30t-40 -7q-232 77 -378.5 277.5t-146.5 451.5q0 209 103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf09c;" horiz-adv-x="1664" d="M1664 960v-256q0 -26 -19 -45t-45 -19h-64q-26 0 -45 19t-19 45v256q0 106 -75 181t-181 75t-181 -75t-75 -181v-192h96q40 0 68 -28t28 -68v-576q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68v576q0 40 28 68t68 28h672v192q0 185 131.5 316.5t316.5 131.5 t316.5 -131.5t131.5 -316.5z" />
<glyph unicode="&#xf09d;" horiz-adv-x="1920" d="M1760 1408q66 0 113 -47t47 -113v-1216q0 -66 -47 -113t-113 -47h-1600q-66 0 -113 47t-47 113v1216q0 66 47 113t113 47h1600zM160 1280q-13 0 -22.5 -9.5t-9.5 -22.5v-224h1664v224q0 13 -9.5 22.5t-22.5 9.5h-1600zM1760 0q13 0 22.5 9.5t9.5 22.5v608h-1664v-608 q0 -13 9.5 -22.5t22.5 -9.5h1600zM256 128v128h256v-128h-256zM640 128v128h384v-128h-384z" />
<glyph unicode="&#xf09e;" horiz-adv-x="1408" d="M384 192q0 -80 -56 -136t-136 -56t-136 56t-56 136t56 136t136 56t136 -56t56 -136zM896 69q2 -28 -17 -48q-18 -21 -47 -21h-135q-25 0 -43 16.5t-20 41.5q-22 229 -184.5 391.5t-391.5 184.5q-25 2 -41.5 20t-16.5 43v135q0 29 21 47q17 17 43 17h5q160 -13 306 -80.5 t259 -181.5q114 -113 181.5 -259t80.5 -306zM1408 67q2 -27 -18 -47q-18 -20 -46 -20h-143q-26 0 -44.5 17.5t-19.5 42.5q-12 215 -101 408.5t-231.5 336t-336 231.5t-408.5 102q-25 1 -42.5 19.5t-17.5 43.5v143q0 28 20 46q18 18 44 18h3q262 -13 501.5 -120t425.5 -294 q187 -186 294 -425.5t120 -501.5z" />
<glyph unicode="&#xf0a0;" d="M1040 320q0 -33 -23.5 -56.5t-56.5 -23.5t-56.5 23.5t-23.5 56.5t23.5 56.5t56.5 23.5t56.5 -23.5t23.5 -56.5zM1296 320q0 -33 -23.5 -56.5t-56.5 -23.5t-56.5 23.5t-23.5 56.5t23.5 56.5t56.5 23.5t56.5 -23.5t23.5 -56.5zM1408 160v320q0 13 -9.5 22.5t-22.5 9.5 h-1216q-13 0 -22.5 -9.5t-9.5 -22.5v-320q0 -13 9.5 -22.5t22.5 -9.5h1216q13 0 22.5 9.5t9.5 22.5zM178 640h1180l-157 482q-4 13 -16 21.5t-26 8.5h-782q-14 0 -26 -8.5t-16 -21.5zM1536 480v-320q0 -66 -47 -113t-113 -47h-1216q-66 0 -113 47t-47 113v320q0 25 16 75 l197 606q17 53 63 86t101 33h782q55 0 101 -33t63 -86l197 -606q16 -50 16 -75z" />
<glyph unicode="&#xf0a1;" horiz-adv-x="1792" d="M1664 896q53 0 90.5 -37.5t37.5 -90.5t-37.5 -90.5t-90.5 -37.5v-384q0 -52 -38 -90t-90 -38q-417 347 -812 380q-58 -19 -91 -66t-31 -100.5t40 -92.5q-20 -33 -23 -65.5t6 -58t33.5 -55t48 -50t61.5 -50.5q-29 -58 -111.5 -83t-168.5 -11.5t-132 55.5q-7 23 -29.5 87.5 t-32 94.5t-23 89t-15 101t3.5 98.5t22 110.5h-122q-66 0 -113 47t-47 113v192q0 66 47 113t113 47h480q435 0 896 384q52 0 90 -38t38 -90v-384zM1536 292v954q-394 -302 -768 -343v-270q377 -42 768 -341z" />
<glyph unicode="&#xf0a2;" horiz-adv-x="1664" d="M848 -160q0 16 -16 16q-59 0 -101.5 42.5t-42.5 101.5q0 16 -16 16t-16 -16q0 -73 51.5 -124.5t124.5 -51.5q16 0 16 16zM183 128h1298q-164 181 -246.5 411.5t-82.5 484.5q0 256 -320 256t-320 -256q0 -254 -82.5 -484.5t-246.5 -411.5zM1664 128q0 -52 -38 -90t-90 -38 h-448q0 -106 -75 -181t-181 -75t-181 75t-75 181h-448q-52 0 -90 38t-38 90q190 161 287 397.5t97 498.5q0 165 96 262t264 117q-8 18 -8 37q0 40 28 68t68 28t68 -28t28 -68q0 -19 -8 -37q168 -20 264 -117t96 -262q0 -262 97 -498.5t287 -397.5z" />
<glyph unicode="&#xf0a3;" d="M1376 640l138 -135q30 -28 20 -70q-12 -41 -52 -51l-188 -48l53 -186q12 -41 -19 -70q-29 -31 -70 -19l-186 53l-48 -188q-10 -40 -51 -52q-12 -2 -19 -2q-31 0 -51 22l-135 138l-135 -138q-28 -30 -70 -20q-41 11 -51 52l-48 188l-186 -53q-41 -12 -70 19q-31 29 -19 70 l53 186l-188 48q-40 10 -52 51q-10 42 20 70l138 135l-138 135q-30 28 -20 70q12 41 52 51l188 48l-53 186q-12 41 19 70q29 31 70 19l186 -53l48 188q10 41 51 51q41 12 70 -19l135 -139l135 139q29 30 70 19q41 -10 51 -51l48 -188l186 53q41 12 70 -19q31 -29 19 -70 l-53 -186l188 -48q40 -10 52 -51q10 -42 -20 -70z" />
<glyph unicode="&#xf0a4;" horiz-adv-x="1792" d="M256 192q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1664 768q0 51 -39 89.5t-89 38.5h-576q0 20 15 48.5t33 55t33 68t15 84.5q0 67 -44.5 97.5t-115.5 30.5q-24 0 -90 -139q-24 -44 -37 -65q-40 -64 -112 -145q-71 -81 -101 -106 q-69 -57 -140 -57h-32v-640h32q72 0 167 -32t193.5 -64t179.5 -32q189 0 189 167q0 26 -5 56q30 16 47.5 52.5t17.5 73.5t-18 69q53 50 53 119q0 25 -10 55.5t-25 47.5h331q52 0 90 38t38 90zM1792 769q0 -105 -75.5 -181t-180.5 -76h-169q-4 -62 -37 -119q3 -21 3 -43 q0 -101 -60 -178q1 -139 -85 -219.5t-227 -80.5q-133 0 -322 69q-164 59 -223 59h-288q-53 0 -90.5 37.5t-37.5 90.5v640q0 53 37.5 90.5t90.5 37.5h288q10 0 21.5 4.5t23.5 14t22.5 18t24 22.5t20.5 21.5t19 21.5t14 17q65 74 100 129q13 21 33 62t37 72t40.5 63t55 49.5 t69.5 17.5q125 0 206.5 -67t81.5 -189q0 -68 -22 -128h374q104 0 180 -76t76 -179z" />
<glyph unicode="&#xf0a5;" horiz-adv-x="1792" d="M1376 128h32v640h-32q-35 0 -67.5 12t-62.5 37t-50 46t-49 54q-2 3 -3.5 4.5t-4 4.5t-4.5 5q-72 81 -112 145q-14 22 -38 68q-1 3 -10.5 22.5t-18.5 36t-20 35.5t-21.5 30.5t-18.5 11.5q-71 0 -115.5 -30.5t-44.5 -97.5q0 -43 15 -84.5t33 -68t33 -55t15 -48.5h-576 q-50 0 -89 -38.5t-39 -89.5q0 -52 38 -90t90 -38h331q-15 -17 -25 -47.5t-10 -55.5q0 -69 53 -119q-18 -32 -18 -69t17.5 -73.5t47.5 -52.5q-4 -24 -4 -56q0 -85 48.5 -126t135.5 -41q84 0 183 32t194 64t167 32zM1664 192q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45 t45 -19t45 19t19 45zM1792 768v-640q0 -53 -37.5 -90.5t-90.5 -37.5h-288q-59 0 -223 -59q-190 -69 -317 -69q-142 0 -230 77.5t-87 217.5l1 5q-61 76 -61 178q0 22 3 43q-33 57 -37 119h-169q-105 0 -180.5 76t-75.5 181q0 103 76 179t180 76h374q-22 60 -22 128 q0 122 81.5 189t206.5 67q38 0 69.5 -17.5t55 -49.5t40.5 -63t37 -72t33 -62q35 -55 100 -129q2 -3 14 -17t19 -21.5t20.5 -21.5t24 -22.5t22.5 -18t23.5 -14t21.5 -4.5h288q53 0 90.5 -37.5t37.5 -90.5z" />
<glyph unicode="&#xf0a6;" d="M1280 -64q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1408 700q0 189 -167 189q-26 0 -56 -5q-16 30 -52.5 47.5t-73.5 17.5t-69 -18q-50 53 -119 53q-25 0 -55.5 -10t-47.5 -25v331q0 52 -38 90t-90 38q-51 0 -89.5 -39t-38.5 -89v-576 q-20 0 -48.5 15t-55 33t-68 33t-84.5 15q-67 0 -97.5 -44.5t-30.5 -115.5q0 -24 139 -90q44 -24 65 -37q64 -40 145 -112q81 -71 106 -101q57 -69 57 -140v-32h640v32q0 72 32 167t64 193.5t32 179.5zM1536 705q0 -133 -69 -322q-59 -164 -59 -223v-288q0 -53 -37.5 -90.5 t-90.5 -37.5h-640q-53 0 -90.5 37.5t-37.5 90.5v288q0 10 -4.5 21.5t-14 23.5t-18 22.5t-22.5 24t-21.5 20.5t-21.5 19t-17 14q-74 65 -129 100q-21 13 -62 33t-72 37t-63 40.5t-49.5 55t-17.5 69.5q0 125 67 206.5t189 81.5q68 0 128 -22v374q0 104 76 180t179 76 q105 0 181 -75.5t76 -180.5v-169q62 -4 119 -37q21 3 43 3q101 0 178 -60q139 1 219.5 -85t80.5 -227z" />
<glyph unicode="&#xf0a7;" d="M1408 576q0 84 -32 183t-64 194t-32 167v32h-640v-32q0 -35 -12 -67.5t-37 -62.5t-46 -50t-54 -49q-9 -8 -14 -12q-81 -72 -145 -112q-22 -14 -68 -38q-3 -1 -22.5 -10.5t-36 -18.5t-35.5 -20t-30.5 -21.5t-11.5 -18.5q0 -71 30.5 -115.5t97.5 -44.5q43 0 84.5 15t68 33 t55 33t48.5 15v-576q0 -50 38.5 -89t89.5 -39q52 0 90 38t38 90v331q46 -35 103 -35q69 0 119 53q32 -18 69 -18t73.5 17.5t52.5 47.5q24 -4 56 -4q85 0 126 48.5t41 135.5zM1280 1344q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1536 580 q0 -142 -77.5 -230t-217.5 -87l-5 1q-76 -61 -178 -61q-22 0 -43 3q-54 -30 -119 -37v-169q0 -105 -76 -180.5t-181 -75.5q-103 0 -179 76t-76 180v374q-54 -22 -128 -22q-121 0 -188.5 81.5t-67.5 206.5q0 38 17.5 69.5t49.5 55t63 40.5t72 37t62 33q55 35 129 100 q3 2 17 14t21.5 19t21.5 20.5t22.5 24t18 22.5t14 23.5t4.5 21.5v288q0 53 37.5 90.5t90.5 37.5h640q53 0 90.5 -37.5t37.5 -90.5v-288q0 -59 59 -223q69 -190 69 -317z" />
<glyph unicode="&#xf0a8;" d="M1280 576v128q0 26 -19 45t-45 19h-502l189 189q19 19 19 45t-19 45l-91 91q-18 18 -45 18t-45 -18l-362 -362l-91 -91q-18 -18 -18 -45t18 -45l91 -91l362 -362q18 -18 45 -18t45 18l91 91q18 18 18 45t-18 45l-189 189h502q26 0 45 19t19 45zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf0a9;" d="M1285 640q0 27 -18 45l-91 91l-362 362q-18 18 -45 18t-45 -18l-91 -91q-18 -18 -18 -45t18 -45l189 -189h-502q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h502l-189 -189q-19 -19 -19 -45t19 -45l91 -91q18 -18 45 -18t45 18l362 362l91 91q18 18 18 45zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf0aa;" d="M1284 641q0 27 -18 45l-362 362l-91 91q-18 18 -45 18t-45 -18l-91 -91l-362 -362q-18 -18 -18 -45t18 -45l91 -91q18 -18 45 -18t45 18l189 189v-502q0 -26 19 -45t45 -19h128q26 0 45 19t19 45v502l189 -189q19 -19 45 -19t45 19l91 91q18 18 18 45zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf0ab;" d="M1284 639q0 27 -18 45l-91 91q-18 18 -45 18t-45 -18l-189 -189v502q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-502l-189 189q-19 19 -45 19t-45 -19l-91 -91q-18 -18 -18 -45t18 -45l362 -362l91 -91q18 -18 45 -18t45 18l91 91l362 362q18 18 18 45zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf0ac;" d="M768 1408q209 0 385.5 -103t279.5 -279.5t103 -385.5t-103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103zM1042 887q-2 -1 -9.5 -9.5t-13.5 -9.5q2 0 4.5 5t5 11t3.5 7q6 7 22 15q14 6 52 12q34 8 51 -11 q-2 2 9.5 13t14.5 12q3 2 15 4.5t15 7.5l2 22q-12 -1 -17.5 7t-6.5 21q0 -2 -6 -8q0 7 -4.5 8t-11.5 -1t-9 -1q-10 3 -15 7.5t-8 16.5t-4 15q-2 5 -9.5 10.5t-9.5 10.5q-1 2 -2.5 5.5t-3 6.5t-4 5.5t-5.5 2.5t-7 -5t-7.5 -10t-4.5 -5q-3 2 -6 1.5t-4.5 -1t-4.5 -3t-5 -3.5 q-3 -2 -8.5 -3t-8.5 -2q15 5 -1 11q-10 4 -16 3q9 4 7.5 12t-8.5 14h5q-1 4 -8.5 8.5t-17.5 8.5t-13 6q-8 5 -34 9.5t-33 0.5q-5 -6 -4.5 -10.5t4 -14t3.5 -12.5q1 -6 -5.5 -13t-6.5 -12q0 -7 14 -15.5t10 -21.5q-3 -8 -16 -16t-16 -12q-5 -8 -1.5 -18.5t10.5 -16.5 q2 -2 1.5 -4t-3.5 -4.5t-5.5 -4t-6.5 -3.5l-3 -2q-11 -5 -20.5 6t-13.5 26q-7 25 -16 30q-23 8 -29 -1q-5 13 -41 26q-25 9 -58 4q6 1 0 15q-7 15 -19 12q3 6 4 17.5t1 13.5q3 13 12 23q1 1 7 8.5t9.5 13.5t0.5 6q35 -4 50 11q5 5 11.5 17t10.5 17q9 6 14 5.5t14.5 -5.5 t14.5 -5q14 -1 15.5 11t-7.5 20q12 -1 3 17q-5 7 -8 9q-12 4 -27 -5q-8 -4 2 -8q-1 1 -9.5 -10.5t-16.5 -17.5t-16 5q-1 1 -5.5 13.5t-9.5 13.5q-8 0 -16 -15q3 8 -11 15t-24 8q19 12 -8 27q-7 4 -20.5 5t-19.5 -4q-5 -7 -5.5 -11.5t5 -8t10.5 -5.5t11.5 -4t8.5 -3 q14 -10 8 -14q-2 -1 -8.5 -3.5t-11.5 -4.5t-6 -4q-3 -4 0 -14t-2 -14q-5 5 -9 17.5t-7 16.5q7 -9 -25 -6l-10 1q-4 0 -16 -2t-20.5 -1t-13.5 8q-4 8 0 20q1 4 4 2q-4 3 -11 9.5t-10 8.5q-46 -15 -94 -41q6 -1 12 1q5 2 13 6.5t10 5.5q34 14 42 7l5 5q14 -16 20 -25 q-7 4 -30 1q-20 -6 -22 -12q7 -12 5 -18q-4 3 -11.5 10t-14.5 11t-15 5q-16 0 -22 -1q-146 -80 -235 -222q7 -7 12 -8q4 -1 5 -9t2.5 -11t11.5 3q9 -8 3 -19q1 1 44 -27q19 -17 21 -21q3 -11 -10 -18q-1 2 -9 9t-9 4q-3 -5 0.5 -18.5t10.5 -12.5q-7 0 -9.5 -16t-2.5 -35.5 t-1 -23.5l2 -1q-3 -12 5.5 -34.5t21.5 -19.5q-13 -3 20 -43q6 -8 8 -9q3 -2 12 -7.5t15 -10t10 -10.5q4 -5 10 -22.5t14 -23.5q-2 -6 9.5 -20t10.5 -23q-1 0 -2.5 -1t-2.5 -1q3 -7 15.5 -14t15.5 -13q1 -3 2 -10t3 -11t8 -2q2 20 -24 62q-15 25 -17 29q-3 5 -5.5 15.5 t-4.5 14.5q2 0 6 -1.5t8.5 -3.5t7.5 -4t2 -3q-3 -7 2 -17.5t12 -18.5t17 -19t12 -13q6 -6 14 -19.5t0 -13.5q9 0 20 -10t17 -20q5 -8 8 -26t5 -24q2 -7 8.5 -13.5t12.5 -9.5l16 -8t13 -7q5 -2 18.5 -10.5t21.5 -11.5q10 -4 16 -4t14.5 2.5t13.5 3.5q15 2 29 -15t21 -21 q36 -19 55 -11q-2 -1 0.5 -7.5t8 -15.5t9 -14.5t5.5 -8.5q5 -6 18 -15t18 -15q6 4 7 9q-3 -8 7 -20t18 -10q14 3 14 32q-31 -15 -49 18q0 1 -2.5 5.5t-4 8.5t-2.5 8.5t0 7.5t5 3q9 0 10 3.5t-2 12.5t-4 13q-1 8 -11 20t-12 15q-5 -9 -16 -8t-16 9q0 -1 -1.5 -5.5t-1.5 -6.5 q-13 0 -15 1q1 3 2.5 17.5t3.5 22.5q1 4 5.5 12t7.5 14.5t4 12.5t-4.5 9.5t-17.5 2.5q-19 -1 -26 -20q-1 -3 -3 -10.5t-5 -11.5t-9 -7q-7 -3 -24 -2t-24 5q-13 8 -22.5 29t-9.5 37q0 10 2.5 26.5t3 25t-5.5 24.5q3 2 9 9.5t10 10.5q2 1 4.5 1.5t4.5 0t4 1.5t3 6q-1 1 -4 3 q-3 3 -4 3q7 -3 28.5 1.5t27.5 -1.5q15 -11 22 2q0 1 -2.5 9.5t-0.5 13.5q5 -27 29 -9q3 -3 15.5 -5t17.5 -5q3 -2 7 -5.5t5.5 -4.5t5 0.5t8.5 6.5q10 -14 12 -24q11 -40 19 -44q7 -3 11 -2t4.5 9.5t0 14t-1.5 12.5l-1 8v18l-1 8q-15 3 -18.5 12t1.5 18.5t15 18.5q1 1 8 3.5 t15.5 6.5t12.5 8q21 19 15 35q7 0 11 9q-1 0 -5 3t-7.5 5t-4.5 2q9 5 2 16q5 3 7.5 11t7.5 10q9 -12 21 -2q7 8 1 16q5 7 20.5 10.5t18.5 9.5q7 -2 8 2t1 12t3 12q4 5 15 9t13 5l17 11q3 4 0 4q18 -2 31 11q10 11 -6 20q3 6 -3 9.5t-15 5.5q3 1 11.5 0.5t10.5 1.5 q15 10 -7 16q-17 5 -43 -12zM879 10q206 36 351 189q-3 3 -12.5 4.5t-12.5 3.5q-18 7 -24 8q1 7 -2.5 13t-8 9t-12.5 8t-11 7q-2 2 -7 6t-7 5.5t-7.5 4.5t-8.5 2t-10 -1l-3 -1q-3 -1 -5.5 -2.5t-5.5 -3t-4 -3t0 -2.5q-21 17 -36 22q-5 1 -11 5.5t-10.5 7t-10 1.5t-11.5 -7 q-5 -5 -6 -15t-2 -13q-7 5 0 17.5t2 18.5q-3 6 -10.5 4.5t-12 -4.5t-11.5 -8.5t-9 -6.5t-8.5 -5.5t-8.5 -7.5q-3 -4 -6 -12t-5 -11q-2 4 -11.5 6.5t-9.5 5.5q2 -10 4 -35t5 -38q7 -31 -12 -48q-27 -25 -29 -40q-4 -22 12 -26q0 -7 -8 -20.5t-7 -21.5q0 -6 2 -16z" />
<glyph unicode="&#xf0ad;" horiz-adv-x="1664" d="M384 64q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1028 484l-682 -682q-37 -37 -90 -37q-52 0 -91 37l-106 108q-38 36 -38 90q0 53 38 91l681 681q39 -98 114.5 -173.5t173.5 -114.5zM1662 919q0 -39 -23 -106q-47 -134 -164.5 -217.5 t-258.5 -83.5q-185 0 -316.5 131.5t-131.5 316.5t131.5 316.5t316.5 131.5q58 0 121.5 -16.5t107.5 -46.5q16 -11 16 -28t-16 -28l-293 -169v-224l193 -107q5 3 79 48.5t135.5 81t70.5 35.5q15 0 23.5 -10t8.5 -25z" />
<glyph unicode="&#xf0ae;" horiz-adv-x="1792" d="M1024 128h640v128h-640v-128zM640 640h1024v128h-1024v-128zM1280 1152h384v128h-384v-128zM1792 320v-256q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v256q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1792 832v-256q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19 t-19 45v256q0 26 19 45t45 19h1664q26 0 45 -19t19 -45zM1792 1344v-256q0 -26 -19 -45t-45 -19h-1664q-26 0 -45 19t-19 45v256q0 26 19 45t45 19h1664q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0b0;" horiz-adv-x="1408" d="M1403 1241q17 -41 -14 -70l-493 -493v-742q0 -42 -39 -59q-13 -5 -25 -5q-27 0 -45 19l-256 256q-19 19 -19 45v486l-493 493q-31 29 -14 70q17 39 59 39h1280q42 0 59 -39z" />
<glyph unicode="&#xf0b1;" horiz-adv-x="1792" d="M640 1280h512v128h-512v-128zM1792 640v-480q0 -66 -47 -113t-113 -47h-1472q-66 0 -113 47t-47 113v480h672v-160q0 -26 19 -45t45 -19h320q26 0 45 19t19 45v160h672zM1024 640v-128h-256v128h256zM1792 1120v-384h-1792v384q0 66 47 113t113 47h352v160q0 40 28 68 t68 28h576q40 0 68 -28t28 -68v-160h352q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf0b2;" d="M1283 995l-355 -355l355 -355l144 144q29 31 70 14q39 -17 39 -59v-448q0 -26 -19 -45t-45 -19h-448q-42 0 -59 40q-17 39 14 69l144 144l-355 355l-355 -355l144 -144q31 -30 14 -69q-17 -40 -59 -40h-448q-26 0 -45 19t-19 45v448q0 42 40 59q39 17 69 -14l144 -144 l355 355l-355 355l-144 -144q-19 -19 -45 -19q-12 0 -24 5q-40 17 -40 59v448q0 26 19 45t45 19h448q42 0 59 -40q17 -39 -14 -69l-144 -144l355 -355l355 355l-144 144q-31 30 -14 69q17 40 59 40h448q26 0 45 -19t19 -45v-448q0 -42 -39 -59q-13 -5 -25 -5q-26 0 -45 19z " />
<glyph unicode="&#xf0c0;" horiz-adv-x="1920" d="M593 640q-162 -5 -265 -128h-134q-82 0 -138 40.5t-56 118.5q0 353 124 353q6 0 43.5 -21t97.5 -42.5t119 -21.5q67 0 133 23q-5 -37 -5 -66q0 -139 81 -256zM1664 3q0 -120 -73 -189.5t-194 -69.5h-874q-121 0 -194 69.5t-73 189.5q0 53 3.5 103.5t14 109t26.5 108.5 t43 97.5t62 81t85.5 53.5t111.5 20q10 0 43 -21.5t73 -48t107 -48t135 -21.5t135 21.5t107 48t73 48t43 21.5q61 0 111.5 -20t85.5 -53.5t62 -81t43 -97.5t26.5 -108.5t14 -109t3.5 -103.5zM640 1280q0 -106 -75 -181t-181 -75t-181 75t-75 181t75 181t181 75t181 -75 t75 -181zM1344 896q0 -159 -112.5 -271.5t-271.5 -112.5t-271.5 112.5t-112.5 271.5t112.5 271.5t271.5 112.5t271.5 -112.5t112.5 -271.5zM1920 671q0 -78 -56 -118.5t-138 -40.5h-134q-103 123 -265 128q81 117 81 256q0 29 -5 66q66 -23 133 -23q59 0 119 21.5t97.5 42.5 t43.5 21q124 0 124 -353zM1792 1280q0 -106 -75 -181t-181 -75t-181 75t-75 181t75 181t181 75t181 -75t75 -181z" />
<glyph unicode="&#xf0c1;" horiz-adv-x="1664" d="M1456 320q0 40 -28 68l-208 208q-28 28 -68 28q-42 0 -72 -32q3 -3 19 -18.5t21.5 -21.5t15 -19t13 -25.5t3.5 -27.5q0 -40 -28 -68t-68 -28q-15 0 -27.5 3.5t-25.5 13t-19 15t-21.5 21.5t-18.5 19q-33 -31 -33 -73q0 -40 28 -68l206 -207q27 -27 68 -27q40 0 68 26 l147 146q28 28 28 67zM753 1025q0 40 -28 68l-206 207q-28 28 -68 28q-39 0 -68 -27l-147 -146q-28 -28 -28 -67q0 -40 28 -68l208 -208q27 -27 68 -27q42 0 72 31q-3 3 -19 18.5t-21.5 21.5t-15 19t-13 25.5t-3.5 27.5q0 40 28 68t68 28q15 0 27.5 -3.5t25.5 -13t19 -15 t21.5 -21.5t18.5 -19q33 31 33 73zM1648 320q0 -120 -85 -203l-147 -146q-83 -83 -203 -83q-121 0 -204 85l-206 207q-83 83 -83 203q0 123 88 209l-88 88q-86 -88 -208 -88q-120 0 -204 84l-208 208q-84 84 -84 204t85 203l147 146q83 83 203 83q121 0 204 -85l206 -207 q83 -83 83 -203q0 -123 -88 -209l88 -88q86 88 208 88q120 0 204 -84l208 -208q84 -84 84 -204z" />
<glyph unicode="&#xf0c2;" horiz-adv-x="1920" d="M1920 384q0 -159 -112.5 -271.5t-271.5 -112.5h-1088q-185 0 -316.5 131.5t-131.5 316.5q0 132 71 241.5t187 163.5q-2 28 -2 43q0 212 150 362t362 150q158 0 286.5 -88t187.5 -230q70 62 166 62q106 0 181 -75t75 -181q0 -75 -41 -138q129 -30 213 -134.5t84 -239.5z " />
<glyph unicode="&#xf0c3;" horiz-adv-x="1664" d="M1527 88q56 -89 21.5 -152.5t-140.5 -63.5h-1152q-106 0 -140.5 63.5t21.5 152.5l503 793v399h-64q-26 0 -45 19t-19 45t19 45t45 19h512q26 0 45 -19t19 -45t-19 -45t-45 -19h-64v-399zM748 813l-272 -429h712l-272 429l-20 31v37v399h-128v-399v-37z" />
<glyph unicode="&#xf0c4;" horiz-adv-x="1792" d="M960 640q26 0 45 -19t19 -45t-19 -45t-45 -19t-45 19t-19 45t19 45t45 19zM1260 576l507 -398q28 -20 25 -56q-5 -35 -35 -51l-128 -64q-13 -7 -29 -7q-17 0 -31 8l-690 387l-110 -66q-8 -4 -12 -5q14 -49 10 -97q-7 -77 -56 -147.5t-132 -123.5q-132 -84 -277 -84 q-136 0 -222 78q-90 84 -79 207q7 76 56 147t131 124q132 84 278 84q83 0 151 -31q9 13 22 22l122 73l-122 73q-13 9 -22 22q-68 -31 -151 -31q-146 0 -278 84q-82 53 -131 124t-56 147q-5 59 15.5 113t63.5 93q85 79 222 79q145 0 277 -84q83 -52 132 -123t56 -148 q4 -48 -10 -97q4 -1 12 -5l110 -66l690 387q14 8 31 8q16 0 29 -7l128 -64q30 -16 35 -51q3 -36 -25 -56zM579 836q46 42 21 108t-106 117q-92 59 -192 59q-74 0 -113 -36q-46 -42 -21 -108t106 -117q92 -59 192 -59q74 0 113 36zM494 91q81 51 106 117t-21 108 q-39 36 -113 36q-100 0 -192 -59q-81 -51 -106 -117t21 -108q39 -36 113 -36q100 0 192 59zM672 704l96 -58v11q0 36 33 56l14 8l-79 47l-26 -26q-3 -3 -10 -11t-12 -12q-2 -2 -4 -3.5t-3 -2.5zM896 480l96 -32l736 576l-128 64l-768 -431v-113l-160 -96l9 -8q2 -2 7 -6 q4 -4 11 -12t11 -12l26 -26zM1600 64l128 64l-520 408l-177 -138q-2 -3 -13 -7z" />
<glyph unicode="&#xf0c5;" horiz-adv-x="1792" d="M1696 1152q40 0 68 -28t28 -68v-1216q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68v288h-544q-40 0 -68 28t-28 68v672q0 40 20 88t48 76l408 408q28 28 76 48t88 20h416q40 0 68 -28t28 -68v-328q68 40 128 40h416zM1152 939l-299 -299h299v299zM512 1323l-299 -299 h299v299zM708 676l316 316v416h-384v-416q0 -40 -28 -68t-68 -28h-416v-640h512v256q0 40 20 88t48 76zM1664 -128v1152h-384v-416q0 -40 -28 -68t-68 -28h-416v-640h896z" />
<glyph unicode="&#xf0c6;" horiz-adv-x="1408" d="M1404 151q0 -117 -79 -196t-196 -79q-135 0 -235 100l-777 776q-113 115 -113 271q0 159 110 270t269 111q158 0 273 -113l605 -606q10 -10 10 -22q0 -16 -30.5 -46.5t-46.5 -30.5q-13 0 -23 10l-606 607q-79 77 -181 77q-106 0 -179 -75t-73 -181q0 -105 76 -181 l776 -777q63 -63 145 -63q64 0 106 42t42 106q0 82 -63 145l-581 581q-26 24 -60 24q-29 0 -48 -19t-19 -48q0 -32 25 -59l410 -410q10 -10 10 -22q0 -16 -31 -47t-47 -31q-12 0 -22 10l-410 410q-63 61 -63 149q0 82 57 139t139 57q88 0 149 -63l581 -581q100 -98 100 -235 z" />
<glyph unicode="&#xf0c7;" d="M384 0h768v384h-768v-384zM1280 0h128v896q0 14 -10 38.5t-20 34.5l-281 281q-10 10 -34 20t-39 10v-416q0 -40 -28 -68t-68 -28h-576q-40 0 -68 28t-28 68v416h-128v-1280h128v416q0 40 28 68t68 28h832q40 0 68 -28t28 -68v-416zM896 928v320q0 13 -9.5 22.5t-22.5 9.5 h-192q-13 0 -22.5 -9.5t-9.5 -22.5v-320q0 -13 9.5 -22.5t22.5 -9.5h192q13 0 22.5 9.5t9.5 22.5zM1536 896v-928q0 -40 -28 -68t-68 -28h-1344q-40 0 -68 28t-28 68v1344q0 40 28 68t68 28h928q40 0 88 -20t76 -48l280 -280q28 -28 48 -76t20 -88z" />
<glyph unicode="&#xf0c8;" d="M1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf0c9;" d="M1536 192v-128q0 -26 -19 -45t-45 -19h-1408q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1408q26 0 45 -19t19 -45zM1536 704v-128q0 -26 -19 -45t-45 -19h-1408q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1408q26 0 45 -19t19 -45zM1536 1216v-128q0 -26 -19 -45 t-45 -19h-1408q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h1408q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0ca;" horiz-adv-x="1792" d="M384 128q0 -80 -56 -136t-136 -56t-136 56t-56 136t56 136t136 56t136 -56t56 -136zM384 640q0 -80 -56 -136t-136 -56t-136 56t-56 136t56 136t136 56t136 -56t56 -136zM1792 224v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1216q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5 t22.5 9.5h1216q13 0 22.5 -9.5t9.5 -22.5zM384 1152q0 -80 -56 -136t-136 -56t-136 56t-56 136t56 136t136 56t136 -56t56 -136zM1792 736v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1216q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1216q13 0 22.5 -9.5t9.5 -22.5z M1792 1248v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1216q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1216q13 0 22.5 -9.5t9.5 -22.5z" />
<glyph unicode="&#xf0cb;" horiz-adv-x="1792" d="M381 -84q0 -80 -54.5 -126t-135.5 -46q-106 0 -172 66l57 88q49 -45 106 -45q29 0 50.5 14.5t21.5 42.5q0 64 -105 56l-26 56q8 10 32.5 43.5t42.5 54t37 38.5v1q-16 0 -48.5 -1t-48.5 -1v-53h-106v152h333v-88l-95 -115q51 -12 81 -49t30 -88zM383 543v-159h-362 q-6 36 -6 54q0 51 23.5 93t56.5 68t66 47.5t56.5 43.5t23.5 45q0 25 -14.5 38.5t-39.5 13.5q-46 0 -81 -58l-85 59q24 51 71.5 79.5t105.5 28.5q73 0 123 -41.5t50 -112.5q0 -50 -34 -91.5t-75 -64.5t-75.5 -50.5t-35.5 -52.5h127v60h105zM1792 224v-192q0 -13 -9.5 -22.5 t-22.5 -9.5h-1216q-13 0 -22.5 9.5t-9.5 22.5v192q0 14 9 23t23 9h1216q13 0 22.5 -9.5t9.5 -22.5zM384 1123v-99h-335v99h107q0 41 0.5 122t0.5 121v12h-2q-8 -17 -50 -54l-71 76l136 127h106v-404h108zM1792 736v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1216q-13 0 -22.5 9.5 t-9.5 22.5v192q0 14 9 23t23 9h1216q13 0 22.5 -9.5t9.5 -22.5zM1792 1248v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1216q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1216q13 0 22.5 -9.5t9.5 -22.5z" />
<glyph unicode="&#xf0cc;" horiz-adv-x="1792" d="M1760 640q14 0 23 -9t9 -23v-64q0 -14 -9 -23t-23 -9h-1728q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h1728zM483 704q-28 35 -51 80q-48 97 -48 188q0 181 134 309q133 127 393 127q50 0 167 -19q66 -12 177 -48q10 -38 21 -118q14 -123 14 -183q0 -18 -5 -45l-12 -3l-84 6 l-14 2q-50 149 -103 205q-88 91 -210 91q-114 0 -182 -59q-67 -58 -67 -146q0 -73 66 -140t279 -129q69 -20 173 -66q58 -28 95 -52h-743zM990 448h411q7 -39 7 -92q0 -111 -41 -212q-23 -55 -71 -104q-37 -35 -109 -81q-80 -48 -153 -66q-80 -21 -203 -21q-114 0 -195 23 l-140 40q-57 16 -72 28q-8 8 -8 22v13q0 108 -2 156q-1 30 0 68l2 37v44l102 2q15 -34 30 -71t22.5 -56t12.5 -27q35 -57 80 -94q43 -36 105 -57q59 -22 132 -22q64 0 139 27q77 26 122 86q47 61 47 129q0 84 -81 157q-34 29 -137 71z" />
<glyph unicode="&#xf0cd;" d="M48 1313q-37 2 -45 4l-3 88q13 1 40 1q60 0 112 -4q132 -7 166 -7q86 0 168 3q116 4 146 5q56 0 86 2l-1 -14l2 -64v-9q-60 -9 -124 -9q-60 0 -79 -25q-13 -14 -13 -132q0 -13 0.5 -32.5t0.5 -25.5l1 -229l14 -280q6 -124 51 -202q35 -59 96 -92q88 -47 177 -47 q104 0 191 28q56 18 99 51q48 36 65 64q36 56 53 114q21 73 21 229q0 79 -3.5 128t-11 122.5t-13.5 159.5l-4 59q-5 67 -24 88q-34 35 -77 34l-100 -2l-14 3l2 86h84l205 -10q76 -3 196 10l18 -2q6 -38 6 -51q0 -7 -4 -31q-45 -12 -84 -13q-73 -11 -79 -17q-15 -15 -15 -41 q0 -7 1.5 -27t1.5 -31q8 -19 22 -396q6 -195 -15 -304q-15 -76 -41 -122q-38 -65 -112 -123q-75 -57 -182 -89q-109 -33 -255 -33q-167 0 -284 46q-119 47 -179 122q-61 76 -83 195q-16 80 -16 237v333q0 188 -17 213q-25 36 -147 39zM1536 -96v64q0 14 -9 23t-23 9h-1472 q-14 0 -23 -9t-9 -23v-64q0 -14 9 -23t23 -9h1472q14 0 23 9t9 23z" />
<glyph unicode="&#xf0ce;" horiz-adv-x="1664" d="M512 160v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM512 544v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1024 160v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23 v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM512 928v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1024 544v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1536 160v192 q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1024 928v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1536 544v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192 q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1536 928v192q0 14 -9 23t-23 9h-320q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h320q14 0 23 9t9 23zM1664 1248v-1088q0 -66 -47 -113t-113 -47h-1344q-66 0 -113 47t-47 113v1088q0 66 47 113t113 47h1344q66 0 113 -47t47 -113 z" />
<glyph unicode="&#xf0d0;" horiz-adv-x="1664" d="M1190 955l293 293l-107 107l-293 -293zM1637 1248q0 -27 -18 -45l-1286 -1286q-18 -18 -45 -18t-45 18l-198 198q-18 18 -18 45t18 45l1286 1286q18 18 45 18t45 -18l198 -198q18 -18 18 -45zM286 1438l98 -30l-98 -30l-30 -98l-30 98l-98 30l98 30l30 98zM636 1276 l196 -60l-196 -60l-60 -196l-60 196l-196 60l196 60l60 196zM1566 798l98 -30l-98 -30l-30 -98l-30 98l-98 30l98 30l30 98zM926 1438l98 -30l-98 -30l-30 -98l-30 98l-98 30l98 30l30 98z" />
<glyph unicode="&#xf0d1;" horiz-adv-x="1792" d="M640 128q0 52 -38 90t-90 38t-90 -38t-38 -90t38 -90t90 -38t90 38t38 90zM256 640h384v256h-158q-13 0 -22 -9l-195 -195q-9 -9 -9 -22v-30zM1536 128q0 52 -38 90t-90 38t-90 -38t-38 -90t38 -90t90 -38t90 38t38 90zM1792 1216v-1024q0 -15 -4 -26.5t-13.5 -18.5 t-16.5 -11.5t-23.5 -6t-22.5 -2t-25.5 0t-22.5 0.5q0 -106 -75 -181t-181 -75t-181 75t-75 181h-384q0 -106 -75 -181t-181 -75t-181 75t-75 181h-64q-3 0 -22.5 -0.5t-25.5 0t-22.5 2t-23.5 6t-16.5 11.5t-13.5 18.5t-4 26.5q0 26 19 45t45 19v320q0 8 -0.5 35t0 38 t2.5 34.5t6.5 37t14 30.5t22.5 30l198 198q19 19 50.5 32t58.5 13h160v192q0 26 19 45t45 19h1024q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0d2;" d="M1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103q-111 0 -218 32q59 93 78 164q9 34 54 211q20 -39 73 -67.5t114 -28.5q121 0 216 68.5t147 188.5t52 270q0 114 -59.5 214t-172.5 163t-255 63q-105 0 -196 -29t-154.5 -77t-109 -110.5t-67 -129.5t-21.5 -134 q0 -104 40 -183t117 -111q30 -12 38 20q2 7 8 31t8 30q6 23 -11 43q-51 61 -51 151q0 151 104.5 259.5t273.5 108.5q151 0 235.5 -82t84.5 -213q0 -170 -68.5 -289t-175.5 -119q-61 0 -98 43.5t-23 104.5q8 35 26.5 93.5t30 103t11.5 75.5q0 50 -27 83t-77 33 q-62 0 -105 -57t-43 -142q0 -73 25 -122l-99 -418q-17 -70 -13 -177q-206 91 -333 281t-127 423q0 209 103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf0d3;" d="M1248 1408q119 0 203.5 -84.5t84.5 -203.5v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-725q85 122 108 210q9 34 53 209q21 -39 73.5 -67t112.5 -28q181 0 295.5 147.5t114.5 373.5q0 84 -35 162.5t-96.5 139t-152.5 97t-197 36.5q-104 0 -194.5 -28.5t-153 -76.5 t-107.5 -109.5t-66.5 -128t-21.5 -132.5q0 -102 39.5 -180t116.5 -110q13 -5 23.5 0t14.5 19q10 44 15 61q6 23 -11 42q-50 62 -50 150q0 150 103.5 256.5t270.5 106.5q149 0 232.5 -81t83.5 -210q0 -168 -67.5 -286t-173.5 -118q-60 0 -97 43.5t-23 103.5q8 34 26.5 92.5 t29.5 102t11 74.5q0 49 -26.5 81.5t-75.5 32.5q-61 0 -103.5 -56.5t-42.5 -139.5q0 -72 24 -121l-98 -414q-24 -100 -7 -254h-183q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960z" />
<glyph unicode="&#xf0d4;" d="M678 -57q0 -38 -10 -71h-380q-95 0 -171.5 56.5t-103.5 147.5q24 45 69 77.5t100 49.5t107 24t107 7q32 0 49 -2q6 -4 30.5 -21t33 -23t31 -23t32 -25.5t27.5 -25.5t26.5 -29.5t21 -30.5t17.5 -34.5t9.5 -36t4.5 -40.5zM385 294q-234 -7 -385 -85v433q103 -118 273 -118 q32 0 70 5q-21 -61 -21 -86q0 -67 63 -149zM558 805q0 -100 -43.5 -160.5t-140.5 -60.5q-51 0 -97 26t-78 67.5t-56 93.5t-35.5 104t-11.5 99q0 96 51.5 165t144.5 69q66 0 119 -41t84 -104t47 -130t16 -128zM1536 896v-736q0 -119 -84.5 -203.5t-203.5 -84.5h-468 q39 73 39 157q0 66 -22 122.5t-55.5 93t-72 71t-72 59.5t-55.5 54.5t-22 59.5q0 36 23 68t56 61.5t65.5 64.5t55.5 93t23 131t-26.5 145.5t-75.5 118.5q-6 6 -14 11t-12.5 7.5t-10 9.5t-10.5 17h135l135 64h-437q-138 0 -244.5 -38.5t-182.5 -133.5q0 126 81 213t207 87h960 q119 0 203.5 -84.5t84.5 -203.5v-96h-256v256h-128v-256h-256v-128h256v-256h128v256h256z" />
<glyph unicode="&#xf0d5;" horiz-adv-x="1664" d="M876 71q0 21 -4.5 40.5t-9.5 36t-17.5 34.5t-21 30.5t-26.5 29.5t-27.5 25.5t-32 25.5t-31 23t-33 23t-30.5 21q-17 2 -50 2q-54 0 -106 -7t-108 -25t-98 -46t-69 -75t-27 -107q0 -68 35.5 -121.5t93 -84t120.5 -45.5t127 -15q59 0 112.5 12.5t100.5 39t74.5 73.5 t27.5 110zM756 933q0 60 -16.5 127.5t-47 130.5t-84 104t-119.5 41q-93 0 -144 -69t-51 -165q0 -47 11.5 -99t35.5 -104t56 -93.5t78 -67.5t97 -26q97 0 140.5 60.5t43.5 160.5zM625 1408h437l-135 -79h-135q71 -45 110 -126t39 -169q0 -74 -23 -131.5t-56 -92.5t-66 -64.5 t-56 -61t-23 -67.5q0 -26 16.5 -51t43 -48t58.5 -48t64 -55.5t58.5 -66t43 -85t16.5 -106.5q0 -160 -140 -282q-152 -131 -420 -131q-59 0 -119.5 10t-122 33.5t-108.5 58t-77 89t-30 121.5q0 61 37 135q32 64 96 110.5t145 71t155 36t150 13.5q-64 83 -64 149q0 12 2 23.5 t5 19.5t8 21.5t7 21.5q-40 -5 -70 -5q-149 0 -255.5 98t-106.5 246q0 140 95 250.5t234 141.5q94 20 187 20zM1664 1152v-128h-256v-256h-128v256h-256v128h256v256h128v-256h256z" />
<glyph unicode="&#xf0d6;" horiz-adv-x="1920" d="M768 384h384v96h-128v448h-114l-148 -137l77 -80q42 37 55 57h2v-288h-128v-96zM1280 640q0 -70 -21 -142t-59.5 -134t-101.5 -101t-138 -39t-138 39t-101.5 101t-59.5 134t-21 142t21 142t59.5 134t101.5 101t138 39t138 -39t101.5 -101t59.5 -134t21 -142zM1792 384 v512q-106 0 -181 75t-75 181h-1152q0 -106 -75 -181t-181 -75v-512q106 0 181 -75t75 -181h1152q0 106 75 181t181 75zM1920 1216v-1152q0 -26 -19 -45t-45 -19h-1792q-26 0 -45 19t-19 45v1152q0 26 19 45t45 19h1792q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0d7;" horiz-adv-x="1024" d="M1024 832q0 -26 -19 -45l-448 -448q-19 -19 -45 -19t-45 19l-448 448q-19 19 -19 45t19 45t45 19h896q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0d8;" horiz-adv-x="1024" d="M1024 320q0 -26 -19 -45t-45 -19h-896q-26 0 -45 19t-19 45t19 45l448 448q19 19 45 19t45 -19l448 -448q19 -19 19 -45z" />
<glyph unicode="&#xf0d9;" horiz-adv-x="640" d="M640 1088v-896q0 -26 -19 -45t-45 -19t-45 19l-448 448q-19 19 -19 45t19 45l448 448q19 19 45 19t45 -19t19 -45z" />
<glyph unicode="&#xf0da;" horiz-adv-x="640" d="M576 640q0 -26 -19 -45l-448 -448q-19 -19 -45 -19t-45 19t-19 45v896q0 26 19 45t45 19t45 -19l448 -448q19 -19 19 -45z" />
<glyph unicode="&#xf0db;" horiz-adv-x="1664" d="M160 0h608v1152h-640v-1120q0 -13 9.5 -22.5t22.5 -9.5zM1536 32v1120h-640v-1152h608q13 0 22.5 9.5t9.5 22.5zM1664 1248v-1216q0 -66 -47 -113t-113 -47h-1344q-66 0 -113 47t-47 113v1216q0 66 47 113t113 47h1344q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf0dc;" horiz-adv-x="1024" d="M1024 448q0 -26 -19 -45l-448 -448q-19 -19 -45 -19t-45 19l-448 448q-19 19 -19 45t19 45t45 19h896q26 0 45 -19t19 -45zM1024 832q0 -26 -19 -45t-45 -19h-896q-26 0 -45 19t-19 45t19 45l448 448q19 19 45 19t45 -19l448 -448q19 -19 19 -45z" />
<glyph unicode="&#xf0dd;" horiz-adv-x="1024" d="M1024 448q0 -26 -19 -45l-448 -448q-19 -19 -45 -19t-45 19l-448 448q-19 19 -19 45t19 45t45 19h896q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0de;" horiz-adv-x="1024" d="M1024 832q0 -26 -19 -45t-45 -19h-896q-26 0 -45 19t-19 45t19 45l448 448q19 19 45 19t45 -19l448 -448q19 -19 19 -45z" />
<glyph unicode="&#xf0e0;" horiz-adv-x="1792" d="M1792 826v-794q0 -66 -47 -113t-113 -47h-1472q-66 0 -113 47t-47 113v794q44 -49 101 -87q362 -246 497 -345q57 -42 92.5 -65.5t94.5 -48t110 -24.5h1h1q51 0 110 24.5t94.5 48t92.5 65.5q170 123 498 345q57 39 100 87zM1792 1120q0 -79 -49 -151t-122 -123 q-376 -261 -468 -325q-10 -7 -42.5 -30.5t-54 -38t-52 -32.5t-57.5 -27t-50 -9h-1h-1q-23 0 -50 9t-57.5 27t-52 32.5t-54 38t-42.5 30.5q-91 64 -262 182.5t-205 142.5q-62 42 -117 115.5t-55 136.5q0 78 41.5 130t118.5 52h1472q65 0 112.5 -47t47.5 -113z" />
<glyph unicode="&#xf0e1;" d="M349 911v-991h-330v991h330zM370 1217q1 -73 -50.5 -122t-135.5 -49h-2q-82 0 -132 49t-50 122q0 74 51.5 122.5t134.5 48.5t133 -48.5t51 -122.5zM1536 488v-568h-329v530q0 105 -40.5 164.5t-126.5 59.5q-63 0 -105.5 -34.5t-63.5 -85.5q-11 -30 -11 -81v-553h-329 q2 399 2 647t-1 296l-1 48h329v-144h-2q20 32 41 56t56.5 52t87 43.5t114.5 15.5q171 0 275 -113.5t104 -332.5z" />
<glyph unicode="&#xf0e2;" d="M1536 640q0 -156 -61 -298t-164 -245t-245 -164t-298 -61q-172 0 -327 72.5t-264 204.5q-7 10 -6.5 22.5t8.5 20.5l137 138q10 9 25 9q16 -2 23 -12q73 -95 179 -147t225 -52q104 0 198.5 40.5t163.5 109.5t109.5 163.5t40.5 198.5t-40.5 198.5t-109.5 163.5 t-163.5 109.5t-198.5 40.5q-98 0 -188 -35.5t-160 -101.5l137 -138q31 -30 14 -69q-17 -40 -59 -40h-448q-26 0 -45 19t-19 45v448q0 42 40 59q39 17 69 -14l130 -129q107 101 244.5 156.5t284.5 55.5q156 0 298 -61t245 -164t164 -245t61 -298z" />
<glyph unicode="&#xf0e3;" horiz-adv-x="1792" d="M1771 0q0 -53 -37 -90l-107 -108q-39 -37 -91 -37q-53 0 -90 37l-363 364q-38 36 -38 90q0 53 43 96l-256 256l-126 -126q-14 -14 -34 -14t-34 14q2 -2 12.5 -12t12.5 -13t10 -11.5t10 -13.5t6 -13.5t5.5 -16.5t1.5 -18q0 -38 -28 -68q-3 -3 -16.5 -18t-19 -20.5 t-18.5 -16.5t-22 -15.5t-22 -9t-26 -4.5q-40 0 -68 28l-408 408q-28 28 -28 68q0 13 4.5 26t9 22t15.5 22t16.5 18.5t20.5 19t18 16.5q30 28 68 28q10 0 18 -1.5t16.5 -5.5t13.5 -6t13.5 -10t11.5 -10t13 -12.5t12 -12.5q-14 14 -14 34t14 34l348 348q14 14 34 14t34 -14 q-2 2 -12.5 12t-12.5 13t-10 11.5t-10 13.5t-6 13.5t-5.5 16.5t-1.5 18q0 38 28 68q3 3 16.5 18t19 20.5t18.5 16.5t22 15.5t22 9t26 4.5q40 0 68 -28l408 -408q28 -28 28 -68q0 -13 -4.5 -26t-9 -22t-15.5 -22t-16.5 -18.5t-20.5 -19t-18 -16.5q-30 -28 -68 -28 q-10 0 -18 1.5t-16.5 5.5t-13.5 6t-13.5 10t-11.5 10t-13 12.5t-12 12.5q14 -14 14 -34t-14 -34l-126 -126l256 -256q43 43 96 43q52 0 91 -37l363 -363q37 -39 37 -91z" />
<glyph unicode="&#xf0e4;" horiz-adv-x="1792" d="M384 384q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM576 832q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1004 351l101 382q6 26 -7.5 48.5t-38.5 29.5 t-48 -6.5t-30 -39.5l-101 -382q-60 -5 -107 -43.5t-63 -98.5q-20 -77 20 -146t117 -89t146 20t89 117q16 60 -6 117t-72 91zM1664 384q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1024 1024q0 53 -37.5 90.5 t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1472 832q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1792 384q0 -261 -141 -483q-19 -29 -54 -29h-1402q-35 0 -54 29 q-141 221 -141 483q0 182 71 348t191 286t286 191t348 71t348 -71t286 -191t191 -286t71 -348z" />
<glyph unicode="&#xf0e5;" horiz-adv-x="1792" d="M896 1152q-204 0 -381.5 -69.5t-282 -187.5t-104.5 -255q0 -112 71.5 -213.5t201.5 -175.5l87 -50l-27 -96q-24 -91 -70 -172q152 63 275 171l43 38l57 -6q69 -8 130 -8q204 0 381.5 69.5t282 187.5t104.5 255t-104.5 255t-282 187.5t-381.5 69.5zM1792 640 q0 -174 -120 -321.5t-326 -233t-450 -85.5q-70 0 -145 8q-198 -175 -460 -242q-49 -14 -114 -22h-5q-15 0 -27 10.5t-16 27.5v1q-3 4 -0.5 12t2 10t4.5 9.5l6 9t7 8.5t8 9q7 8 31 34.5t34.5 38t31 39.5t32.5 51t27 59t26 76q-157 89 -247.5 220t-90.5 281q0 174 120 321.5 t326 233t450 85.5t450 -85.5t326 -233t120 -321.5z" />
<glyph unicode="&#xf0e6;" horiz-adv-x="1792" d="M704 1152q-153 0 -286 -52t-211.5 -141t-78.5 -191q0 -82 53 -158t149 -132l97 -56l-35 -84q34 20 62 39l44 31l53 -10q78 -14 153 -14q153 0 286 52t211.5 141t78.5 191t-78.5 191t-211.5 141t-286 52zM704 1280q191 0 353.5 -68.5t256.5 -186.5t94 -257t-94 -257 t-256.5 -186.5t-353.5 -68.5q-86 0 -176 16q-124 -88 -278 -128q-36 -9 -86 -16h-3q-11 0 -20.5 8t-11.5 21q-1 3 -1 6.5t0.5 6.5t2 6l2.5 5t3.5 5.5t4 5t4.5 5t4 4.5q5 6 23 25t26 29.5t22.5 29t25 38.5t20.5 44q-124 72 -195 177t-71 224q0 139 94 257t256.5 186.5 t353.5 68.5zM1526 111q10 -24 20.5 -44t25 -38.5t22.5 -29t26 -29.5t23 -25q1 -1 4 -4.5t4.5 -5t4 -5t3.5 -5.5l2.5 -5t2 -6t0.5 -6.5t-1 -6.5q-3 -14 -13 -22t-22 -7q-50 7 -86 16q-154 40 -278 128q-90 -16 -176 -16q-271 0 -472 132q58 -4 88 -4q161 0 309 45t264 129 q125 92 192 212t67 254q0 77 -23 152q129 -71 204 -178t75 -230q0 -120 -71 -224.5t-195 -176.5z" />
<glyph unicode="&#xf0e7;" horiz-adv-x="896" d="M885 970q18 -20 7 -44l-540 -1157q-13 -25 -42 -25q-4 0 -14 2q-17 5 -25.5 19t-4.5 30l197 808l-406 -101q-4 -1 -12 -1q-18 0 -31 11q-18 15 -13 39l201 825q4 14 16 23t28 9h328q19 0 32 -12.5t13 -29.5q0 -8 -5 -18l-171 -463l396 98q8 2 12 2q19 0 34 -15z" />
<glyph unicode="&#xf0e8;" horiz-adv-x="1792" d="M1792 288v-320q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v320q0 40 28 68t68 28h96v192h-512v-192h96q40 0 68 -28t28 -68v-320q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v320q0 40 28 68t68 28h96v192h-512v-192h96q40 0 68 -28t28 -68v-320 q0 -40 -28 -68t-68 -28h-320q-40 0 -68 28t-28 68v320q0 40 28 68t68 28h96v192q0 52 38 90t90 38h512v192h-96q-40 0 -68 28t-28 68v320q0 40 28 68t68 28h320q40 0 68 -28t28 -68v-320q0 -40 -28 -68t-68 -28h-96v-192h512q52 0 90 -38t38 -90v-192h96q40 0 68 -28t28 -68 z" />
<glyph unicode="&#xf0e9;" horiz-adv-x="1664" d="M896 708v-580q0 -104 -76 -180t-180 -76t-180 76t-76 180q0 26 19 45t45 19t45 -19t19 -45q0 -50 39 -89t89 -39t89 39t39 89v580q33 11 64 11t64 -11zM1664 681q0 -13 -9.5 -22.5t-22.5 -9.5q-11 0 -23 10q-49 46 -93 69t-102 23q-68 0 -128 -37t-103 -97 q-7 -10 -17.5 -28t-14.5 -24q-11 -17 -28 -17q-18 0 -29 17q-4 6 -14.5 24t-17.5 28q-43 60 -102.5 97t-127.5 37t-127.5 -37t-102.5 -97q-7 -10 -17.5 -28t-14.5 -24q-11 -17 -29 -17q-17 0 -28 17q-4 6 -14.5 24t-17.5 28q-43 60 -103 97t-128 37q-58 0 -102 -23t-93 -69 q-12 -10 -23 -10q-13 0 -22.5 9.5t-9.5 22.5q0 5 1 7q45 183 172.5 319.5t298 204.5t360.5 68q140 0 274.5 -40t246.5 -113.5t194.5 -187t115.5 -251.5q1 -2 1 -7zM896 1408v-98q-42 2 -64 2t-64 -2v98q0 26 19 45t45 19t45 -19t19 -45z" />
<glyph unicode="&#xf0ea;" horiz-adv-x="1792" d="M768 -128h896v640h-416q-40 0 -68 28t-28 68v416h-384v-1152zM1024 1312v64q0 13 -9.5 22.5t-22.5 9.5h-704q-13 0 -22.5 -9.5t-9.5 -22.5v-64q0 -13 9.5 -22.5t22.5 -9.5h704q13 0 22.5 9.5t9.5 22.5zM1280 640h299l-299 299v-299zM1792 512v-672q0 -40 -28 -68t-68 -28 h-960q-40 0 -68 28t-28 68v160h-544q-40 0 -68 28t-28 68v1344q0 40 28 68t68 28h1088q40 0 68 -28t28 -68v-328q21 -13 36 -28l408 -408q28 -28 48 -76t20 -88z" />
<glyph unicode="&#xf0eb;" horiz-adv-x="1024" d="M736 960q0 -13 -9.5 -22.5t-22.5 -9.5t-22.5 9.5t-9.5 22.5q0 46 -54 71t-106 25q-13 0 -22.5 9.5t-9.5 22.5t9.5 22.5t22.5 9.5q50 0 99.5 -16t87 -54t37.5 -90zM896 960q0 72 -34.5 134t-90 101.5t-123 62t-136.5 22.5t-136.5 -22.5t-123 -62t-90 -101.5t-34.5 -134 q0 -101 68 -180q10 -11 30.5 -33t30.5 -33q128 -153 141 -298h228q13 145 141 298q10 11 30.5 33t30.5 33q68 79 68 180zM1024 960q0 -155 -103 -268q-45 -49 -74.5 -87t-59.5 -95.5t-34 -107.5q47 -28 47 -82q0 -37 -25 -64q25 -27 25 -64q0 -52 -45 -81q13 -23 13 -47 q0 -46 -31.5 -71t-77.5 -25q-20 -44 -60 -70t-87 -26t-87 26t-60 70q-46 0 -77.5 25t-31.5 71q0 24 13 47q-45 29 -45 81q0 37 25 64q-25 27 -25 64q0 54 47 82q-4 50 -34 107.5t-59.5 95.5t-74.5 87q-103 113 -103 268q0 99 44.5 184.5t117 142t164 89t186.5 32.5 t186.5 -32.5t164 -89t117 -142t44.5 -184.5z" />
<glyph unicode="&#xf0ec;" horiz-adv-x="1792" d="M1792 352v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-1376v-192q0 -13 -9.5 -22.5t-22.5 -9.5q-12 0 -24 10l-319 320q-9 9 -9 22q0 14 9 23l320 320q9 9 23 9q13 0 22.5 -9.5t9.5 -22.5v-192h1376q13 0 22.5 -9.5t9.5 -22.5zM1792 896q0 -14 -9 -23l-320 -320q-9 -9 -23 -9 q-13 0 -22.5 9.5t-9.5 22.5v192h-1376q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h1376v192q0 14 9 23t23 9q12 0 24 -10l319 -319q9 -9 9 -23z" />
<glyph unicode="&#xf0ed;" horiz-adv-x="1920" d="M1280 608q0 14 -9 23t-23 9h-224v352q0 13 -9.5 22.5t-22.5 9.5h-192q-13 0 -22.5 -9.5t-9.5 -22.5v-352h-224q-13 0 -22.5 -9.5t-9.5 -22.5q0 -14 9 -23l352 -352q9 -9 23 -9t23 9l351 351q10 12 10 24zM1920 384q0 -159 -112.5 -271.5t-271.5 -112.5h-1088 q-185 0 -316.5 131.5t-131.5 316.5q0 130 70 240t188 165q-2 30 -2 43q0 212 150 362t362 150q156 0 285.5 -87t188.5 -231q71 62 166 62q106 0 181 -75t75 -181q0 -76 -41 -138q130 -31 213.5 -135.5t83.5 -238.5z" />
<glyph unicode="&#xf0ee;" horiz-adv-x="1920" d="M1280 672q0 14 -9 23l-352 352q-9 9 -23 9t-23 -9l-351 -351q-10 -12 -10 -24q0 -14 9 -23t23 -9h224v-352q0 -13 9.5 -22.5t22.5 -9.5h192q13 0 22.5 9.5t9.5 22.5v352h224q13 0 22.5 9.5t9.5 22.5zM1920 384q0 -159 -112.5 -271.5t-271.5 -112.5h-1088 q-185 0 -316.5 131.5t-131.5 316.5q0 130 70 240t188 165q-2 30 -2 43q0 212 150 362t362 150q156 0 285.5 -87t188.5 -231q71 62 166 62q106 0 181 -75t75 -181q0 -76 -41 -138q130 -31 213.5 -135.5t83.5 -238.5z" />
<glyph unicode="&#xf0f0;" horiz-adv-x="1408" d="M384 192q0 -26 -19 -45t-45 -19t-45 19t-19 45t19 45t45 19t45 -19t19 -45zM1408 131q0 -121 -73 -190t-194 -69h-874q-121 0 -194 69t-73 190q0 68 5.5 131t24 138t47.5 132.5t81 103t120 60.5q-22 -52 -22 -120v-203q-58 -20 -93 -70t-35 -111q0 -80 56 -136t136 -56 t136 56t56 136q0 61 -35.5 111t-92.5 70v203q0 62 25 93q132 -104 295 -104t295 104q25 -31 25 -93v-64q-106 0 -181 -75t-75 -181v-89q-32 -29 -32 -71q0 -40 28 -68t68 -28t68 28t28 68q0 42 -32 71v89q0 52 38 90t90 38t90 -38t38 -90v-89q-32 -29 -32 -71q0 -40 28 -68 t68 -28t68 28t28 68q0 42 -32 71v89q0 68 -34.5 127.5t-93.5 93.5q0 10 0.5 42.5t0 48t-2.5 41.5t-7 47t-13 40q68 -15 120 -60.5t81 -103t47.5 -132.5t24 -138t5.5 -131zM1088 1024q0 -159 -112.5 -271.5t-271.5 -112.5t-271.5 112.5t-112.5 271.5t112.5 271.5t271.5 112.5 t271.5 -112.5t112.5 -271.5z" />
<glyph unicode="&#xf0f1;" horiz-adv-x="1408" d="M1280 832q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1408 832q0 -62 -35.5 -111t-92.5 -70v-395q0 -159 -131.5 -271.5t-316.5 -112.5t-316.5 112.5t-131.5 271.5v132q-164 20 -274 128t-110 252v512q0 26 19 45t45 19q6 0 16 -2q17 30 47 48 t65 18q53 0 90.5 -37.5t37.5 -90.5t-37.5 -90.5t-90.5 -37.5q-33 0 -64 18v-402q0 -106 94 -181t226 -75t226 75t94 181v402q-31 -18 -64 -18q-53 0 -90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5q35 0 65 -18t47 -48q10 2 16 2q26 0 45 -19t19 -45v-512q0 -144 -110 -252 t-274 -128v-132q0 -106 94 -181t226 -75t226 75t94 181v395q-57 21 -92.5 70t-35.5 111q0 80 56 136t136 56t136 -56t56 -136z" />
<glyph unicode="&#xf0f2;" horiz-adv-x="1792" d="M640 1152h512v128h-512v-128zM288 1152v-1280h-64q-92 0 -158 66t-66 158v832q0 92 66 158t158 66h64zM1408 1152v-1280h-1024v1280h128v160q0 40 28 68t68 28h576q40 0 68 -28t28 -68v-160h128zM1792 928v-832q0 -92 -66 -158t-158 -66h-64v1280h64q92 0 158 -66 t66 -158z" />
<glyph unicode="&#xf0f3;" horiz-adv-x="1664" d="M848 -160q0 16 -16 16q-59 0 -101.5 42.5t-42.5 101.5q0 16 -16 16t-16 -16q0 -73 51.5 -124.5t124.5 -51.5q16 0 16 16zM1664 128q0 -52 -38 -90t-90 -38h-448q0 -106 -75 -181t-181 -75t-181 75t-75 181h-448q-52 0 -90 38t-38 90q190 161 287 397.5t97 498.5 q0 165 96 262t264 117q-8 18 -8 37q0 40 28 68t68 28t68 -28t28 -68q0 -19 -8 -37q168 -20 264 -117t96 -262q0 -262 97 -498.5t287 -397.5z" />
<glyph unicode="&#xf0f4;" horiz-adv-x="1920" d="M1664 896q0 80 -56 136t-136 56h-64v-384h64q80 0 136 56t56 136zM0 128h1792q0 -106 -75 -181t-181 -75h-1280q-106 0 -181 75t-75 181zM1856 896q0 -159 -112.5 -271.5t-271.5 -112.5h-64v-32q0 -92 -66 -158t-158 -66h-704q-92 0 -158 66t-66 158v736q0 26 19 45 t45 19h1152q159 0 271.5 -112.5t112.5 -271.5z" />
<glyph unicode="&#xf0f5;" horiz-adv-x="1408" d="M640 1472v-640q0 -61 -35.5 -111t-92.5 -70v-779q0 -52 -38 -90t-90 -38h-128q-52 0 -90 38t-38 90v779q-57 20 -92.5 70t-35.5 111v640q0 26 19 45t45 19t45 -19t19 -45v-416q0 -26 19 -45t45 -19t45 19t19 45v416q0 26 19 45t45 19t45 -19t19 -45v-416q0 -26 19 -45 t45 -19t45 19t19 45v416q0 26 19 45t45 19t45 -19t19 -45zM1408 1472v-1600q0 -52 -38 -90t-90 -38h-128q-52 0 -90 38t-38 90v512h-224q-13 0 -22.5 9.5t-9.5 22.5v800q0 132 94 226t226 94h256q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0f6;" horiz-adv-x="1280" d="M1024 352v-64q0 -14 -9 -23t-23 -9h-704q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h704q14 0 23 -9t9 -23zM1024 608v-64q0 -14 -9 -23t-23 -9h-704q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h704q14 0 23 -9t9 -23zM128 0h1024v768h-416q-40 0 -68 28t-28 68v416h-512v-1280z M768 896h376q-10 29 -22 41l-313 313q-12 12 -41 22v-376zM1280 864v-896q0 -40 -28 -68t-68 -28h-1088q-40 0 -68 28t-28 68v1344q0 40 28 68t68 28h640q40 0 88 -20t76 -48l312 -312q28 -28 48 -76t20 -88z" />
<glyph unicode="&#xf0f7;" horiz-adv-x="1408" d="M384 224v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M640 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M1152 224v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM896 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M640 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 992v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M1152 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM896 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M640 992v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 1248v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M1152 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM896 992v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M640 1248v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM1152 992v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M896 1248v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM1152 1248v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M896 -128h384v1536h-1152v-1536h384v224q0 13 9.5 22.5t22.5 9.5h320q13 0 22.5 -9.5t9.5 -22.5v-224zM1408 1472v-1664q0 -26 -19 -45t-45 -19h-1280q-26 0 -45 19t-19 45v1664q0 26 19 45t45 19h1280q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0f8;" horiz-adv-x="1408" d="M384 224v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M640 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM384 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M1152 224v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM896 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M640 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM1152 480v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M896 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5zM1152 736v-64q0 -13 -9.5 -22.5t-22.5 -9.5h-64q-13 0 -22.5 9.5t-9.5 22.5v64q0 13 9.5 22.5t22.5 9.5h64q13 0 22.5 -9.5t9.5 -22.5z M896 -128h384v1152h-256v-32q0 -40 -28 -68t-68 -28h-448q-40 0 -68 28t-28 68v32h-256v-1152h384v224q0 13 9.5 22.5t22.5 9.5h320q13 0 22.5 -9.5t9.5 -22.5v-224zM896 1056v320q0 13 -9.5 22.5t-22.5 9.5h-64q-13 0 -22.5 -9.5t-9.5 -22.5v-96h-128v96q0 13 -9.5 22.5 t-22.5 9.5h-64q-13 0 -22.5 -9.5t-9.5 -22.5v-320q0 -13 9.5 -22.5t22.5 -9.5h64q13 0 22.5 9.5t9.5 22.5v96h128v-96q0 -13 9.5 -22.5t22.5 -9.5h64q13 0 22.5 9.5t9.5 22.5zM1408 1088v-1280q0 -26 -19 -45t-45 -19h-1280q-26 0 -45 19t-19 45v1280q0 26 19 45t45 19h320 v288q0 40 28 68t68 28h448q40 0 68 -28t28 -68v-288h320q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0f9;" horiz-adv-x="1920" d="M640 128q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM256 640h384v256h-158q-14 -2 -22 -9l-195 -195q-7 -12 -9 -22v-30zM1536 128q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5 t90.5 37.5t37.5 90.5zM1664 800v192q0 14 -9 23t-23 9h-224v224q0 14 -9 23t-23 9h-192q-14 0 -23 -9t-9 -23v-224h-224q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h224v-224q0 -14 9 -23t23 -9h192q14 0 23 9t9 23v224h224q14 0 23 9t9 23zM1920 1344v-1152 q0 -26 -19 -45t-45 -19h-192q0 -106 -75 -181t-181 -75t-181 75t-75 181h-384q0 -106 -75 -181t-181 -75t-181 75t-75 181h-128q-26 0 -45 19t-19 45t19 45t45 19v416q0 26 13 58t32 51l198 198q19 19 51 32t58 13h160v320q0 26 19 45t45 19h1152q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf0fa;" horiz-adv-x="1792" d="M1280 416v192q0 14 -9 23t-23 9h-224v224q0 14 -9 23t-23 9h-192q-14 0 -23 -9t-9 -23v-224h-224q-14 0 -23 -9t-9 -23v-192q0 -14 9 -23t23 -9h224v-224q0 -14 9 -23t23 -9h192q14 0 23 9t9 23v224h224q14 0 23 9t9 23zM640 1152h512v128h-512v-128zM256 1152v-1280h-32 q-92 0 -158 66t-66 158v832q0 92 66 158t158 66h32zM1440 1152v-1280h-1088v1280h160v160q0 40 28 68t68 28h576q40 0 68 -28t28 -68v-160h160zM1792 928v-832q0 -92 -66 -158t-158 -66h-32v1280h32q92 0 158 -66t66 -158z" />
<glyph unicode="&#xf0fb;" horiz-adv-x="1920" d="M1920 576q-1 -32 -288 -96l-352 -32l-224 -64h-64l-293 -352h69q26 0 45 -4.5t19 -11.5t-19 -11.5t-45 -4.5h-96h-160h-64v32h64v416h-160l-192 -224h-96l-32 32v192h32v32h128v8l-192 24v128l192 24v8h-128v32h-32v192l32 32h96l192 -224h160v416h-64v32h64h160h96 q26 0 45 -4.5t19 -11.5t-19 -11.5t-45 -4.5h-69l293 -352h64l224 -64l352 -32q261 -58 287 -93z" />
<glyph unicode="&#xf0fc;" horiz-adv-x="1664" d="M640 640v384h-256v-256q0 -53 37.5 -90.5t90.5 -37.5h128zM1664 192v-192h-1152v192l128 192h-128q-159 0 -271.5 112.5t-112.5 271.5v320l-64 64l32 128h480l32 128h960l32 -192l-64 -32v-800z" />
<glyph unicode="&#xf0fd;" d="M1280 192v896q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-320h-512v320q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-896q0 -26 19 -45t45 -19h128q26 0 45 19t19 45v320h512v-320q0 -26 19 -45t45 -19h128q26 0 45 19t19 45zM1536 1120v-960 q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf0fe;" d="M1280 576v128q0 26 -19 45t-45 19h-320v320q0 26 -19 45t-45 19h-128q-26 0 -45 -19t-19 -45v-320h-320q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h320v-320q0 -26 19 -45t45 -19h128q26 0 45 19t19 45v320h320q26 0 45 19t19 45zM1536 1120v-960 q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf100;" horiz-adv-x="1024" d="M627 160q0 -13 -10 -23l-50 -50q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23t10 23l466 466q10 10 23 10t23 -10l50 -50q10 -10 10 -23t-10 -23l-393 -393l393 -393q10 -10 10 -23zM1011 160q0 -13 -10 -23l-50 -50q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23 t10 23l466 466q10 10 23 10t23 -10l50 -50q10 -10 10 -23t-10 -23l-393 -393l393 -393q10 -10 10 -23z" />
<glyph unicode="&#xf101;" horiz-adv-x="1024" d="M595 576q0 -13 -10 -23l-466 -466q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l393 393l-393 393q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l466 -466q10 -10 10 -23zM979 576q0 -13 -10 -23l-466 -466q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23 l393 393l-393 393q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l466 -466q10 -10 10 -23z" />
<glyph unicode="&#xf102;" horiz-adv-x="1152" d="M1075 224q0 -13 -10 -23l-50 -50q-10 -10 -23 -10t-23 10l-393 393l-393 -393q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l466 466q10 10 23 10t23 -10l466 -466q10 -10 10 -23zM1075 608q0 -13 -10 -23l-50 -50q-10 -10 -23 -10t-23 10l-393 393l-393 -393 q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l466 466q10 10 23 10t23 -10l466 -466q10 -10 10 -23z" />
<glyph unicode="&#xf103;" horiz-adv-x="1152" d="M1075 672q0 -13 -10 -23l-466 -466q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l393 -393l393 393q10 10 23 10t23 -10l50 -50q10 -10 10 -23zM1075 1056q0 -13 -10 -23l-466 -466q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23 t10 23l50 50q10 10 23 10t23 -10l393 -393l393 393q10 10 23 10t23 -10l50 -50q10 -10 10 -23z" />
<glyph unicode="&#xf104;" horiz-adv-x="640" d="M627 992q0 -13 -10 -23l-393 -393l393 -393q10 -10 10 -23t-10 -23l-50 -50q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23t10 23l466 466q10 10 23 10t23 -10l50 -50q10 -10 10 -23z" />
<glyph unicode="&#xf105;" horiz-adv-x="640" d="M595 576q0 -13 -10 -23l-466 -466q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l393 393l-393 393q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l466 -466q10 -10 10 -23z" />
<glyph unicode="&#xf106;" horiz-adv-x="1152" d="M1075 352q0 -13 -10 -23l-50 -50q-10 -10 -23 -10t-23 10l-393 393l-393 -393q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l466 466q10 10 23 10t23 -10l466 -466q10 -10 10 -23z" />
<glyph unicode="&#xf107;" horiz-adv-x="1152" d="M1075 800q0 -13 -10 -23l-466 -466q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l393 -393l393 393q10 10 23 10t23 -10l50 -50q10 -10 10 -23z" />
<glyph unicode="&#xf108;" horiz-adv-x="1920" d="M1792 544v832q0 13 -9.5 22.5t-22.5 9.5h-1600q-13 0 -22.5 -9.5t-9.5 -22.5v-832q0 -13 9.5 -22.5t22.5 -9.5h1600q13 0 22.5 9.5t9.5 22.5zM1920 1376v-1088q0 -66 -47 -113t-113 -47h-544q0 -37 16 -77.5t32 -71t16 -43.5q0 -26 -19 -45t-45 -19h-512q-26 0 -45 19 t-19 45q0 14 16 44t32 70t16 78h-544q-66 0 -113 47t-47 113v1088q0 66 47 113t113 47h1600q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf109;" horiz-adv-x="1920" d="M416 256q-66 0 -113 47t-47 113v704q0 66 47 113t113 47h1088q66 0 113 -47t47 -113v-704q0 -66 -47 -113t-113 -47h-1088zM384 1120v-704q0 -13 9.5 -22.5t22.5 -9.5h1088q13 0 22.5 9.5t9.5 22.5v704q0 13 -9.5 22.5t-22.5 9.5h-1088q-13 0 -22.5 -9.5t-9.5 -22.5z M1760 192h160v-96q0 -40 -47 -68t-113 -28h-1600q-66 0 -113 28t-47 68v96h160h1600zM1040 96q16 0 16 16t-16 16h-160q-16 0 -16 -16t16 -16h160z" />
<glyph unicode="&#xf10a;" horiz-adv-x="1152" d="M640 128q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1024 288v960q0 13 -9.5 22.5t-22.5 9.5h-832q-13 0 -22.5 -9.5t-9.5 -22.5v-960q0 -13 9.5 -22.5t22.5 -9.5h832q13 0 22.5 9.5t9.5 22.5zM1152 1248v-1088q0 -66 -47 -113t-113 -47h-832 q-66 0 -113 47t-47 113v1088q0 66 47 113t113 47h832q66 0 113 -47t47 -113z" />
<glyph unicode="&#xf10b;" horiz-adv-x="768" d="M464 128q0 33 -23.5 56.5t-56.5 23.5t-56.5 -23.5t-23.5 -56.5t23.5 -56.5t56.5 -23.5t56.5 23.5t23.5 56.5zM672 288v704q0 13 -9.5 22.5t-22.5 9.5h-512q-13 0 -22.5 -9.5t-9.5 -22.5v-704q0 -13 9.5 -22.5t22.5 -9.5h512q13 0 22.5 9.5t9.5 22.5zM480 1136 q0 16 -16 16h-160q-16 0 -16 -16t16 -16h160q16 0 16 16zM768 1152v-1024q0 -52 -38 -90t-90 -38h-512q-52 0 -90 38t-38 90v1024q0 52 38 90t90 38h512q52 0 90 -38t38 -90z" />
<glyph unicode="&#xf10c;" d="M768 1184q-148 0 -273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273t-73 273t-198 198t-273 73zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103 t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf10d;" horiz-adv-x="1664" d="M768 576v-384q0 -80 -56 -136t-136 -56h-384q-80 0 -136 56t-56 136v704q0 104 40.5 198.5t109.5 163.5t163.5 109.5t198.5 40.5h64q26 0 45 -19t19 -45v-128q0 -26 -19 -45t-45 -19h-64q-106 0 -181 -75t-75 -181v-32q0 -40 28 -68t68 -28h224q80 0 136 -56t56 -136z M1664 576v-384q0 -80 -56 -136t-136 -56h-384q-80 0 -136 56t-56 136v704q0 104 40.5 198.5t109.5 163.5t163.5 109.5t198.5 40.5h64q26 0 45 -19t19 -45v-128q0 -26 -19 -45t-45 -19h-64q-106 0 -181 -75t-75 -181v-32q0 -40 28 -68t68 -28h224q80 0 136 -56t56 -136z" />
<glyph unicode="&#xf10e;" horiz-adv-x="1664" d="M768 1216v-704q0 -104 -40.5 -198.5t-109.5 -163.5t-163.5 -109.5t-198.5 -40.5h-64q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h64q106 0 181 75t75 181v32q0 40 -28 68t-68 28h-224q-80 0 -136 56t-56 136v384q0 80 56 136t136 56h384q80 0 136 -56t56 -136zM1664 1216 v-704q0 -104 -40.5 -198.5t-109.5 -163.5t-163.5 -109.5t-198.5 -40.5h-64q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h64q106 0 181 75t75 181v32q0 40 -28 68t-68 28h-224q-80 0 -136 56t-56 136v384q0 80 56 136t136 56h384q80 0 136 -56t56 -136z" />
<glyph unicode="&#xf110;" horiz-adv-x="1568" d="M496 192q0 -60 -42.5 -102t-101.5 -42q-60 0 -102 42t-42 102t42 102t102 42q59 0 101.5 -42t42.5 -102zM928 0q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM320 640q0 -66 -47 -113t-113 -47t-113 47t-47 113 t47 113t113 47t113 -47t47 -113zM1360 192q0 -46 -33 -79t-79 -33t-79 33t-33 79t33 79t79 33t79 -33t33 -79zM528 1088q0 -73 -51.5 -124.5t-124.5 -51.5t-124.5 51.5t-51.5 124.5t51.5 124.5t124.5 51.5t124.5 -51.5t51.5 -124.5zM992 1280q0 -80 -56 -136t-136 -56 t-136 56t-56 136t56 136t136 56t136 -56t56 -136zM1536 640q0 -40 -28 -68t-68 -28t-68 28t-28 68t28 68t68 28t68 -28t28 -68zM1328 1088q0 -33 -23.5 -56.5t-56.5 -23.5t-56.5 23.5t-23.5 56.5t23.5 56.5t56.5 23.5t56.5 -23.5t23.5 -56.5z" />
<glyph unicode="&#xf111;" d="M1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf112;" horiz-adv-x="1792" d="M1792 416q0 -166 -127 -451q-3 -7 -10.5 -24t-13.5 -30t-13 -22q-12 -17 -28 -17q-15 0 -23.5 10t-8.5 25q0 9 2.5 26.5t2.5 23.5q5 68 5 123q0 101 -17.5 181t-48.5 138.5t-80 101t-105.5 69.5t-133 42.5t-154 21.5t-175.5 6h-224v-256q0 -26 -19 -45t-45 -19t-45 19 l-512 512q-19 19 -19 45t19 45l512 512q19 19 45 19t45 -19t19 -45v-256h224q713 0 875 -403q53 -134 53 -333z" />
<glyph unicode="&#xf113;" horiz-adv-x="1664" d="M640 320q0 -40 -12.5 -82t-43 -76t-72.5 -34t-72.5 34t-43 76t-12.5 82t12.5 82t43 76t72.5 34t72.5 -34t43 -76t12.5 -82zM1280 320q0 -40 -12.5 -82t-43 -76t-72.5 -34t-72.5 34t-43 76t-12.5 82t12.5 82t43 76t72.5 34t72.5 -34t43 -76t12.5 -82zM1440 320 q0 120 -69 204t-187 84q-41 0 -195 -21q-71 -11 -157 -11t-157 11q-152 21 -195 21q-118 0 -187 -84t-69 -204q0 -88 32 -153.5t81 -103t122 -60t140 -29.5t149 -7h168q82 0 149 7t140 29.5t122 60t81 103t32 153.5zM1664 496q0 -207 -61 -331q-38 -77 -105.5 -133t-141 -86 t-170 -47.5t-171.5 -22t-167 -4.5q-78 0 -142 3t-147.5 12.5t-152.5 30t-137 51.5t-121 81t-86 115q-62 123 -62 331q0 237 136 396q-27 82 -27 170q0 116 51 218q108 0 190 -39.5t189 -123.5q147 35 309 35q148 0 280 -32q105 82 187 121t189 39q51 -102 51 -218 q0 -87 -27 -168q136 -160 136 -398z" />
<glyph unicode="&#xf114;" horiz-adv-x="1664" d="M1536 224v704q0 40 -28 68t-68 28h-704q-40 0 -68 28t-28 68v64q0 40 -28 68t-68 28h-320q-40 0 -68 -28t-28 -68v-960q0 -40 28 -68t68 -28h1216q40 0 68 28t28 68zM1664 928v-704q0 -92 -66 -158t-158 -66h-1216q-92 0 -158 66t-66 158v960q0 92 66 158t158 66h320 q92 0 158 -66t66 -158v-32h672q92 0 158 -66t66 -158z" />
<glyph unicode="&#xf115;" horiz-adv-x="1920" d="M1781 605q0 35 -53 35h-1088q-40 0 -85.5 -21.5t-71.5 -52.5l-294 -363q-18 -24 -18 -40q0 -35 53 -35h1088q40 0 86 22t71 53l294 363q18 22 18 39zM640 768h768v160q0 40 -28 68t-68 28h-576q-40 0 -68 28t-28 68v64q0 40 -28 68t-68 28h-320q-40 0 -68 -28t-28 -68 v-853l256 315q44 53 116 87.5t140 34.5zM1909 605q0 -62 -46 -120l-295 -363q-43 -53 -116 -87.5t-140 -34.5h-1088q-92 0 -158 66t-66 158v960q0 92 66 158t158 66h320q92 0 158 -66t66 -158v-32h544q92 0 158 -66t66 -158v-160h192q54 0 99 -24.5t67 -70.5q15 -32 15 -68z " />
<glyph unicode="&#xf116;" horiz-adv-x="1792" />
<glyph unicode="&#xf117;" horiz-adv-x="1792" />
<glyph unicode="&#xf118;" d="M1134 461q-37 -121 -138 -195t-228 -74t-228 74t-138 195q-8 25 4 48.5t38 31.5q25 8 48.5 -4t31.5 -38q25 -80 92.5 -129.5t151.5 -49.5t151.5 49.5t92.5 129.5q8 26 32 38t49 4t37 -31.5t4 -48.5zM640 896q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5 t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1152 896q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1408 640q0 130 -51 248.5t-136.5 204t-204 136.5t-248.5 51t-248.5 -51t-204 -136.5t-136.5 -204t-51 -248.5 t51 -248.5t136.5 -204t204 -136.5t248.5 -51t248.5 51t204 136.5t136.5 204t51 248.5zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf119;" d="M1134 307q8 -25 -4 -48.5t-37 -31.5t-49 4t-32 38q-25 80 -92.5 129.5t-151.5 49.5t-151.5 -49.5t-92.5 -129.5q-8 -26 -31.5 -38t-48.5 -4q-26 8 -38 31.5t-4 48.5q37 121 138 195t228 74t228 -74t138 -195zM640 896q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5 t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1152 896q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1408 640q0 130 -51 248.5t-136.5 204t-204 136.5t-248.5 51t-248.5 -51t-204 -136.5t-136.5 -204 t-51 -248.5t51 -248.5t136.5 -204t204 -136.5t248.5 -51t248.5 51t204 136.5t136.5 204t51 248.5zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf11a;" d="M1152 448q0 -26 -19 -45t-45 -19h-640q-26 0 -45 19t-19 45t19 45t45 19h640q26 0 45 -19t19 -45zM640 896q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1152 896q0 -53 -37.5 -90.5t-90.5 -37.5t-90.5 37.5 t-37.5 90.5t37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1408 640q0 130 -51 248.5t-136.5 204t-204 136.5t-248.5 51t-248.5 -51t-204 -136.5t-136.5 -204t-51 -248.5t51 -248.5t136.5 -204t204 -136.5t248.5 -51t248.5 51t204 136.5t136.5 204t51 248.5zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf11b;" horiz-adv-x="1920" d="M832 448v128q0 14 -9 23t-23 9h-192v192q0 14 -9 23t-23 9h-128q-14 0 -23 -9t-9 -23v-192h-192q-14 0 -23 -9t-9 -23v-128q0 -14 9 -23t23 -9h192v-192q0 -14 9 -23t23 -9h128q14 0 23 9t9 23v192h192q14 0 23 9t9 23zM1408 384q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5 t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1664 640q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM1920 512q0 -212 -150 -362t-362 -150q-192 0 -338 128h-220q-146 -128 -338 -128q-212 0 -362 150 t-150 362t150 362t362 150h896q212 0 362 -150t150 -362z" />
<glyph unicode="&#xf11c;" horiz-adv-x="1920" d="M384 368v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM512 624v-96q0 -16 -16 -16h-224q-16 0 -16 16v96q0 16 16 16h224q16 0 16 -16zM384 880v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1408 368v-96q0 -16 -16 -16 h-864q-16 0 -16 16v96q0 16 16 16h864q16 0 16 -16zM768 624v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM640 880v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1024 624v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16 h96q16 0 16 -16zM896 880v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1280 624v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1664 368v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1152 880v-96 q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1408 880v-96q0 -16 -16 -16h-96q-16 0 -16 16v96q0 16 16 16h96q16 0 16 -16zM1664 880v-352q0 -16 -16 -16h-224q-16 0 -16 16v96q0 16 16 16h112v240q0 16 16 16h96q16 0 16 -16zM1792 128v896h-1664v-896 h1664zM1920 1024v-896q0 -53 -37.5 -90.5t-90.5 -37.5h-1664q-53 0 -90.5 37.5t-37.5 90.5v896q0 53 37.5 90.5t90.5 37.5h1664q53 0 90.5 -37.5t37.5 -90.5z" />
<glyph unicode="&#xf11d;" horiz-adv-x="1792" d="M1664 491v616q-169 -91 -306 -91q-82 0 -145 32q-100 49 -184 76.5t-178 27.5q-173 0 -403 -127v-599q245 113 433 113q55 0 103.5 -7.5t98 -26t77 -31t82.5 -39.5l28 -14q44 -22 101 -22q120 0 293 92zM320 1280q0 -35 -17.5 -64t-46.5 -46v-1266q0 -14 -9 -23t-23 -9 h-64q-14 0 -23 9t-9 23v1266q-29 17 -46.5 46t-17.5 64q0 53 37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1792 1216v-763q0 -39 -35 -57q-10 -5 -17 -9q-218 -116 -369 -116q-88 0 -158 35l-28 14q-64 33 -99 48t-91 29t-114 14q-102 0 -235.5 -44t-228.5 -102 q-15 -9 -33 -9q-16 0 -32 8q-32 19 -32 56v742q0 35 31 55q35 21 78.5 42.5t114 52t152.5 49.5t155 19q112 0 209 -31t209 -86q38 -19 89 -19q122 0 310 112q22 12 31 17q31 16 62 -2q31 -20 31 -55z" />
<glyph unicode="&#xf11e;" horiz-adv-x="1792" d="M832 536v192q-181 -16 -384 -117v-185q205 96 384 110zM832 954v197q-172 -8 -384 -126v-189q215 111 384 118zM1664 491v184q-235 -116 -384 -71v224q-20 6 -39 15q-5 3 -33 17t-34.5 17t-31.5 15t-34.5 15.5t-32.5 13t-36 12.5t-35 8.5t-39.5 7.5t-39.5 4t-44 2 q-23 0 -49 -3v-222h19q102 0 192.5 -29t197.5 -82q19 -9 39 -15v-188q42 -17 91 -17q120 0 293 92zM1664 918v189q-169 -91 -306 -91q-45 0 -78 8v-196q148 -42 384 90zM320 1280q0 -35 -17.5 -64t-46.5 -46v-1266q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v1266 q-29 17 -46.5 46t-17.5 64q0 53 37.5 90.5t90.5 37.5t90.5 -37.5t37.5 -90.5zM1792 1216v-763q0 -39 -35 -57q-10 -5 -17 -9q-218 -116 -369 -116q-88 0 -158 35l-28 14q-64 33 -99 48t-91 29t-114 14q-102 0 -235.5 -44t-228.5 -102q-15 -9 -33 -9q-16 0 -32 8 q-32 19 -32 56v742q0 35 31 55q35 21 78.5 42.5t114 52t152.5 49.5t155 19q112 0 209 -31t209 -86q38 -19 89 -19q122 0 310 112q22 12 31 17q31 16 62 -2q31 -20 31 -55z" />
<glyph unicode="&#xf120;" horiz-adv-x="1664" d="M585 553l-466 -466q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l393 393l-393 393q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l466 -466q10 -10 10 -23t-10 -23zM1664 96v-64q0 -14 -9 -23t-23 -9h-960q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h960q14 0 23 -9 t9 -23z" />
<glyph unicode="&#xf121;" horiz-adv-x="1920" d="M617 137l-50 -50q-10 -10 -23 -10t-23 10l-466 466q-10 10 -10 23t10 23l466 466q10 10 23 10t23 -10l50 -50q10 -10 10 -23t-10 -23l-393 -393l393 -393q10 -10 10 -23t-10 -23zM1208 1204l-373 -1291q-4 -13 -15.5 -19.5t-23.5 -2.5l-62 17q-13 4 -19.5 15.5t-2.5 24.5 l373 1291q4 13 15.5 19.5t23.5 2.5l62 -17q13 -4 19.5 -15.5t2.5 -24.5zM1865 553l-466 -466q-10 -10 -23 -10t-23 10l-50 50q-10 10 -10 23t10 23l393 393l-393 393q-10 10 -10 23t10 23l50 50q10 10 23 10t23 -10l466 -466q10 -10 10 -23t-10 -23z" />
<glyph unicode="&#xf122;" horiz-adv-x="1792" d="M640 454v-70q0 -42 -39 -59q-13 -5 -25 -5q-27 0 -45 19l-512 512q-19 19 -19 45t19 45l512 512q29 31 70 14q39 -17 39 -59v-69l-397 -398q-19 -19 -19 -45t19 -45zM1792 416q0 -58 -17 -133.5t-38.5 -138t-48 -125t-40.5 -90.5l-20 -40q-8 -17 -28 -17q-6 0 -9 1 q-25 8 -23 34q43 400 -106 565q-64 71 -170.5 110.5t-267.5 52.5v-251q0 -42 -39 -59q-13 -5 -25 -5q-27 0 -45 19l-512 512q-19 19 -19 45t19 45l512 512q29 31 70 14q39 -17 39 -59v-262q411 -28 599 -221q169 -173 169 -509z" />
<glyph unicode="&#xf123;" horiz-adv-x="1664" d="M1186 579l257 250l-356 52l-66 10l-30 60l-159 322v-963l59 -31l318 -168l-60 355l-12 66zM1638 841l-363 -354l86 -500q5 -33 -6 -51.5t-34 -18.5q-17 0 -40 12l-449 236l-449 -236q-23 -12 -40 -12q-23 0 -34 18.5t-6 51.5l86 500l-364 354q-32 32 -23 59.5t54 34.5 l502 73l225 455q20 41 49 41q28 0 49 -41l225 -455l502 -73q45 -7 54 -34.5t-24 -59.5z" />
<glyph unicode="&#xf124;" horiz-adv-x="1408" d="M1401 1187l-640 -1280q-17 -35 -57 -35q-5 0 -15 2q-22 5 -35.5 22.5t-13.5 39.5v576h-576q-22 0 -39.5 13.5t-22.5 35.5t4 42t29 30l1280 640q13 7 29 7q27 0 45 -19q15 -14 18.5 -34.5t-6.5 -39.5z" />
<glyph unicode="&#xf125;" horiz-adv-x="1664" d="M557 256h595v595zM512 301l595 595h-595v-595zM1664 224v-192q0 -14 -9 -23t-23 -9h-224v-224q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v224h-864q-14 0 -23 9t-9 23v864h-224q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h224v224q0 14 9 23t23 9h192q14 0 23 -9t9 -23 v-224h851l246 247q10 9 23 9t23 -9q9 -10 9 -23t-9 -23l-247 -246v-851h224q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf126;" horiz-adv-x="1024" d="M288 64q0 40 -28 68t-68 28t-68 -28t-28 -68t28 -68t68 -28t68 28t28 68zM288 1216q0 40 -28 68t-68 28t-68 -28t-28 -68t28 -68t68 -28t68 28t28 68zM928 1088q0 40 -28 68t-68 28t-68 -28t-28 -68t28 -68t68 -28t68 28t28 68zM1024 1088q0 -52 -26 -96.5t-70 -69.5 q-2 -287 -226 -414q-68 -38 -203 -81q-128 -40 -169.5 -71t-41.5 -100v-26q44 -25 70 -69.5t26 -96.5q0 -80 -56 -136t-136 -56t-136 56t-56 136q0 52 26 96.5t70 69.5v820q-44 25 -70 69.5t-26 96.5q0 80 56 136t136 56t136 -56t56 -136q0 -52 -26 -96.5t-70 -69.5v-497 q54 26 154 57q55 17 87.5 29.5t70.5 31t59 39.5t40.5 51t28 69.5t8.5 91.5q-44 25 -70 69.5t-26 96.5q0 80 56 136t136 56t136 -56t56 -136z" />
<glyph unicode="&#xf127;" horiz-adv-x="1664" d="M439 265l-256 -256q-10 -9 -23 -9q-12 0 -23 9q-9 10 -9 23t9 23l256 256q10 9 23 9t23 -9q9 -10 9 -23t-9 -23zM608 224v-320q0 -14 -9 -23t-23 -9t-23 9t-9 23v320q0 14 9 23t23 9t23 -9t9 -23zM384 448q0 -14 -9 -23t-23 -9h-320q-14 0 -23 9t-9 23t9 23t23 9h320 q14 0 23 -9t9 -23zM1648 320q0 -120 -85 -203l-147 -146q-83 -83 -203 -83q-121 0 -204 85l-334 335q-21 21 -42 56l239 18l273 -274q27 -27 68 -27.5t68 26.5l147 146q28 28 28 67q0 40 -28 68l-274 275l18 239q35 -21 56 -42l336 -336q84 -86 84 -204zM1031 1044l-239 -18 l-273 274q-28 28 -68 28q-39 0 -68 -27l-147 -146q-28 -28 -28 -67q0 -40 28 -68l274 -274l-18 -240q-35 21 -56 42l-336 336q-84 86 -84 204q0 120 85 203l147 146q83 83 203 83q121 0 204 -85l334 -335q21 -21 42 -56zM1664 960q0 -14 -9 -23t-23 -9h-320q-14 0 -23 9 t-9 23t9 23t23 9h320q14 0 23 -9t9 -23zM1120 1504v-320q0 -14 -9 -23t-23 -9t-23 9t-9 23v320q0 14 9 23t23 9t23 -9t9 -23zM1527 1353l-256 -256q-11 -9 -23 -9t-23 9q-9 10 -9 23t9 23l256 256q10 9 23 9t23 -9q9 -10 9 -23t-9 -23z" />
<glyph unicode="&#xf128;" horiz-adv-x="1024" d="M704 280v-240q0 -16 -12 -28t-28 -12h-240q-16 0 -28 12t-12 28v240q0 16 12 28t28 12h240q16 0 28 -12t12 -28zM1020 880q0 -54 -15.5 -101t-35 -76.5t-55 -59.5t-57.5 -43.5t-61 -35.5q-41 -23 -68.5 -65t-27.5 -67q0 -17 -12 -32.5t-28 -15.5h-240q-15 0 -25.5 18.5 t-10.5 37.5v45q0 83 65 156.5t143 108.5q59 27 84 56t25 76q0 42 -46.5 74t-107.5 32q-65 0 -108 -29q-35 -25 -107 -115q-13 -16 -31 -16q-12 0 -25 8l-164 125q-13 10 -15.5 25t5.5 28q160 266 464 266q80 0 161 -31t146 -83t106 -127.5t41 -158.5z" />
<glyph unicode="&#xf129;" horiz-adv-x="640" d="M640 192v-128q0 -26 -19 -45t-45 -19h-512q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h64v384h-64q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h384q26 0 45 -19t19 -45v-576h64q26 0 45 -19t19 -45zM512 1344v-192q0 -26 -19 -45t-45 -19h-256q-26 0 -45 19t-19 45v192 q0 26 19 45t45 19h256q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf12a;" horiz-adv-x="640" d="M512 288v-224q0 -26 -19 -45t-45 -19h-256q-26 0 -45 19t-19 45v224q0 26 19 45t45 19h256q26 0 45 -19t19 -45zM542 1344l-28 -768q-1 -26 -20.5 -45t-45.5 -19h-256q-26 0 -45.5 19t-20.5 45l-28 768q-1 26 17.5 45t44.5 19h320q26 0 44.5 -19t17.5 -45z" />
<glyph unicode="&#xf12b;" d="M897 167v-167h-248l-159 252l-24 42q-8 9 -11 21h-3l-9 -21q-10 -20 -25 -44l-155 -250h-258v167h128l197 291l-185 272h-137v168h276l139 -228q2 -4 23 -42q8 -9 11 -21h3q3 9 11 21l25 42l140 228h257v-168h-125l-184 -267l204 -296h109zM1534 846v-206h-514l-3 27 q-4 28 -4 46q0 64 26 117t65 86.5t84 65t84 54.5t65 54t26 64q0 38 -29.5 62.5t-70.5 24.5q-51 0 -97 -39q-14 -11 -36 -38l-105 92q26 37 63 66q83 65 188 65q110 0 178 -59.5t68 -158.5q0 -56 -24.5 -103t-62 -76.5t-81.5 -58.5t-82 -50.5t-65.5 -51.5t-30.5 -63h232v80 h126z" />
<glyph unicode="&#xf12c;" d="M897 167v-167h-248l-159 252l-24 42q-8 9 -11 21h-3l-9 -21q-10 -20 -25 -44l-155 -250h-258v167h128l197 291l-185 272h-137v168h276l139 -228q2 -4 23 -42q8 -9 11 -21h3q3 9 11 21l25 42l140 228h257v-168h-125l-184 -267l204 -296h109zM1536 -50v-206h-514l-4 27 q-3 45 -3 46q0 64 26 117t65 86.5t84 65t84 54.5t65 54t26 64q0 38 -29.5 62.5t-70.5 24.5q-51 0 -97 -39q-14 -11 -36 -38l-105 92q26 37 63 66q80 65 188 65q110 0 178 -59.5t68 -158.5q0 -66 -34.5 -118.5t-84 -86t-99.5 -62.5t-87 -63t-41 -73h232v80h126z" />
<glyph unicode="&#xf12d;" horiz-adv-x="1920" d="M896 128l336 384h-768l-336 -384h768zM1909 1205q15 -34 9.5 -71.5t-30.5 -65.5l-896 -1024q-38 -44 -96 -44h-768q-38 0 -69.5 20.5t-47.5 54.5q-15 34 -9.5 71.5t30.5 65.5l896 1024q38 44 96 44h768q38 0 69.5 -20.5t47.5 -54.5z" />
<glyph unicode="&#xf12e;" horiz-adv-x="1664" d="M1664 438q0 -81 -44.5 -135t-123.5 -54q-41 0 -77.5 17.5t-59 38t-56.5 38t-71 17.5q-110 0 -110 -124q0 -39 16 -115t15 -115v-5q-22 0 -33 -1q-34 -3 -97.5 -11.5t-115.5 -13.5t-98 -5q-61 0 -103 26.5t-42 83.5q0 37 17.5 71t38 56.5t38 59t17.5 77.5q0 79 -54 123.5 t-135 44.5q-84 0 -143 -45.5t-59 -127.5q0 -43 15 -83t33.5 -64.5t33.5 -53t15 -50.5q0 -45 -46 -89q-37 -35 -117 -35q-95 0 -245 24q-9 2 -27.5 4t-27.5 4l-13 2q-1 0 -3 1q-2 0 -2 1v1024q2 -1 17.5 -3.5t34 -5t21.5 -3.5q150 -24 245 -24q80 0 117 35q46 44 46 89 q0 22 -15 50.5t-33.5 53t-33.5 64.5t-15 83q0 82 59 127.5t144 45.5q80 0 134 -44.5t54 -123.5q0 -41 -17.5 -77.5t-38 -59t-38 -56.5t-17.5 -71q0 -57 42 -83.5t103 -26.5q64 0 180 15t163 17v-2q-1 -2 -3.5 -17.5t-5 -34t-3.5 -21.5q-24 -150 -24 -245q0 -80 35 -117 q44 -46 89 -46q22 0 50.5 15t53 33.5t64.5 33.5t83 15q82 0 127.5 -59t45.5 -143z" />
<glyph unicode="&#xf130;" horiz-adv-x="1152" d="M1152 832v-128q0 -221 -147.5 -384.5t-364.5 -187.5v-132h256q26 0 45 -19t19 -45t-19 -45t-45 -19h-640q-26 0 -45 19t-19 45t19 45t45 19h256v132q-217 24 -364.5 187.5t-147.5 384.5v128q0 26 19 45t45 19t45 -19t19 -45v-128q0 -185 131.5 -316.5t316.5 -131.5 t316.5 131.5t131.5 316.5v128q0 26 19 45t45 19t45 -19t19 -45zM896 1216v-512q0 -132 -94 -226t-226 -94t-226 94t-94 226v512q0 132 94 226t226 94t226 -94t94 -226z" />
<glyph unicode="&#xf131;" horiz-adv-x="1408" d="M271 591l-101 -101q-42 103 -42 214v128q0 26 19 45t45 19t45 -19t19 -45v-128q0 -53 15 -113zM1385 1193l-361 -361v-128q0 -132 -94 -226t-226 -94q-55 0 -109 19l-96 -96q97 -51 205 -51q185 0 316.5 131.5t131.5 316.5v128q0 26 19 45t45 19t45 -19t19 -45v-128 q0 -221 -147.5 -384.5t-364.5 -187.5v-132h256q26 0 45 -19t19 -45t-19 -45t-45 -19h-640q-26 0 -45 19t-19 45t19 45t45 19h256v132q-125 13 -235 81l-254 -254q-10 -10 -23 -10t-23 10l-82 82q-10 10 -10 23t10 23l1234 1234q10 10 23 10t23 -10l82 -82q10 -10 10 -23 t-10 -23zM1005 1325l-621 -621v512q0 132 94 226t226 94q102 0 184.5 -59t116.5 -152z" />
<glyph unicode="&#xf132;" horiz-adv-x="1280" d="M1088 576v640h-448v-1137q119 63 213 137q235 184 235 360zM1280 1344v-768q0 -86 -33.5 -170.5t-83 -150t-118 -127.5t-126.5 -103t-121 -77.5t-89.5 -49.5t-42.5 -20q-12 -6 -26 -6t-26 6q-16 7 -42.5 20t-89.5 49.5t-121 77.5t-126.5 103t-118 127.5t-83 150 t-33.5 170.5v768q0 26 19 45t45 19h1152q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf133;" horiz-adv-x="1664" d="M128 -128h1408v1024h-1408v-1024zM512 1088v288q0 14 -9 23t-23 9h-64q-14 0 -23 -9t-9 -23v-288q0 -14 9 -23t23 -9h64q14 0 23 9t9 23zM1280 1088v288q0 14 -9 23t-23 9h-64q-14 0 -23 -9t-9 -23v-288q0 -14 9 -23t23 -9h64q14 0 23 9t9 23zM1664 1152v-1280 q0 -52 -38 -90t-90 -38h-1408q-52 0 -90 38t-38 90v1280q0 52 38 90t90 38h128v96q0 66 47 113t113 47h64q66 0 113 -47t47 -113v-96h384v96q0 66 47 113t113 47h64q66 0 113 -47t47 -113v-96h128q52 0 90 -38t38 -90z" />
<glyph unicode="&#xf134;" horiz-adv-x="1408" d="M512 1344q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1408 1376v-320q0 -16 -12 -25q-8 -7 -20 -7q-4 0 -7 1l-448 96q-11 2 -18 11t-7 20h-256v-102q111 -23 183.5 -111t72.5 -203v-800q0 -26 -19 -45t-45 -19h-512q-26 0 -45 19t-19 45v800 q0 106 62.5 190.5t161.5 114.5v111h-32q-59 0 -115 -23.5t-91.5 -53t-66 -66.5t-40.5 -53.5t-14 -24.5q-17 -35 -57 -35q-16 0 -29 7q-23 12 -31.5 37t3.5 49q5 10 14.5 26t37.5 53.5t60.5 70t85 67t108.5 52.5q-25 42 -25 86q0 66 47 113t113 47t113 -47t47 -113 q0 -33 -14 -64h302q0 11 7 20t18 11l448 96q3 1 7 1q12 0 20 -7q12 -9 12 -25z" />
<glyph unicode="&#xf135;" horiz-adv-x="1664" d="M1440 1088q0 40 -28 68t-68 28t-68 -28t-28 -68t28 -68t68 -28t68 28t28 68zM1664 1376q0 -249 -75.5 -430.5t-253.5 -360.5q-81 -80 -195 -176l-20 -379q-2 -16 -16 -26l-384 -224q-7 -4 -16 -4q-12 0 -23 9l-64 64q-13 14 -8 32l85 276l-281 281l-276 -85q-3 -1 -9 -1 q-14 0 -23 9l-64 64q-17 19 -5 39l224 384q10 14 26 16l379 20q96 114 176 195q188 187 358 258t431 71q14 0 24 -9.5t10 -22.5z" />
<glyph unicode="&#xf136;" horiz-adv-x="1792" d="M1745 763l-164 -763h-334l178 832q13 56 -15 88q-27 33 -83 33h-169l-204 -953h-334l204 953h-286l-204 -953h-334l204 953l-153 327h1276q101 0 189.5 -40.5t147.5 -113.5q60 -73 81 -168.5t0 -194.5z" />
<glyph unicode="&#xf137;" d="M909 141l102 102q19 19 19 45t-19 45l-307 307l307 307q19 19 19 45t-19 45l-102 102q-19 19 -45 19t-45 -19l-454 -454q-19 -19 -19 -45t19 -45l454 -454q19 -19 45 -19t45 19zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5 t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf138;" d="M717 141l454 454q19 19 19 45t-19 45l-454 454q-19 19 -45 19t-45 -19l-102 -102q-19 -19 -19 -45t19 -45l307 -307l-307 -307q-19 -19 -19 -45t19 -45l102 -102q19 -19 45 -19t45 19zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5 t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf139;" d="M1165 397l102 102q19 19 19 45t-19 45l-454 454q-19 19 -45 19t-45 -19l-454 -454q-19 -19 -19 -45t19 -45l102 -102q19 -19 45 -19t45 19l307 307l307 -307q19 -19 45 -19t45 19zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5 t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf13a;" d="M813 237l454 454q19 19 19 45t-19 45l-102 102q-19 19 -45 19t-45 -19l-307 -307l-307 307q-19 19 -45 19t-45 -19l-102 -102q-19 -19 -19 -45t19 -45l454 -454q19 -19 45 -19t45 19zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5 t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf13b;" horiz-adv-x="1408" d="M1130 939l16 175h-884l47 -534h612l-22 -228l-197 -53l-196 53l-13 140h-175l22 -278l362 -100h4v1l359 99l50 544h-644l-15 181h674zM0 1408h1408l-128 -1438l-578 -162l-574 162z" />
<glyph unicode="&#xf13c;" horiz-adv-x="1792" d="M275 1408h1505l-266 -1333l-804 -267l-698 267l71 356h297l-29 -147l422 -161l486 161l68 339h-1208l58 297h1209l38 191h-1208z" />
<glyph unicode="&#xf13d;" horiz-adv-x="1792" d="M960 1280q0 26 -19 45t-45 19t-45 -19t-19 -45t19 -45t45 -19t45 19t19 45zM1792 352v-352q0 -22 -20 -30q-8 -2 -12 -2q-13 0 -23 9l-93 93q-119 -143 -318.5 -226.5t-429.5 -83.5t-429.5 83.5t-318.5 226.5l-93 -93q-9 -9 -23 -9q-4 0 -12 2q-20 8 -20 30v352 q0 14 9 23t23 9h352q22 0 30 -20q8 -19 -7 -35l-100 -100q67 -91 189.5 -153.5t271.5 -82.5v647h-192q-26 0 -45 19t-19 45v128q0 26 19 45t45 19h192v163q-58 34 -93 92.5t-35 128.5q0 106 75 181t181 75t181 -75t75 -181q0 -70 -35 -128.5t-93 -92.5v-163h192q26 0 45 -19 t19 -45v-128q0 -26 -19 -45t-45 -19h-192v-647q149 20 271.5 82.5t189.5 153.5l-100 100q-15 16 -7 35q8 20 30 20h352q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf13e;" horiz-adv-x="1152" d="M1056 768q40 0 68 -28t28 -68v-576q0 -40 -28 -68t-68 -28h-960q-40 0 -68 28t-28 68v576q0 40 28 68t68 28h32v320q0 185 131.5 316.5t316.5 131.5t316.5 -131.5t131.5 -316.5q0 -26 -19 -45t-45 -19h-64q-26 0 -45 19t-19 45q0 106 -75 181t-181 75t-181 -75t-75 -181 v-320h736z" />
<glyph unicode="&#xf140;" d="M1024 640q0 -106 -75 -181t-181 -75t-181 75t-75 181t75 181t181 75t181 -75t75 -181zM1152 640q0 159 -112.5 271.5t-271.5 112.5t-271.5 -112.5t-112.5 -271.5t112.5 -271.5t271.5 -112.5t271.5 112.5t112.5 271.5zM1280 640q0 -212 -150 -362t-362 -150t-362 150 t-150 362t150 362t362 150t362 -150t150 -362zM1408 640q0 130 -51 248.5t-136.5 204t-204 136.5t-248.5 51t-248.5 -51t-204 -136.5t-136.5 -204t-51 -248.5t51 -248.5t136.5 -204t204 -136.5t248.5 -51t248.5 51t204 136.5t136.5 204t51 248.5zM1536 640 q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf141;" horiz-adv-x="1408" d="M384 800v-192q0 -40 -28 -68t-68 -28h-192q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h192q40 0 68 -28t28 -68zM896 800v-192q0 -40 -28 -68t-68 -28h-192q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h192q40 0 68 -28t28 -68zM1408 800v-192q0 -40 -28 -68t-68 -28h-192 q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h192q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf142;" horiz-adv-x="384" d="M384 288v-192q0 -40 -28 -68t-68 -28h-192q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h192q40 0 68 -28t28 -68zM384 800v-192q0 -40 -28 -68t-68 -28h-192q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h192q40 0 68 -28t28 -68zM384 1312v-192q0 -40 -28 -68t-68 -28h-192 q-40 0 -68 28t-28 68v192q0 40 28 68t68 28h192q40 0 68 -28t28 -68z" />
<glyph unicode="&#xf143;" d="M512 256q0 53 -37.5 90.5t-90.5 37.5t-90.5 -37.5t-37.5 -90.5t37.5 -90.5t90.5 -37.5t90.5 37.5t37.5 90.5zM863 162q-13 232 -177 396t-396 177q-14 1 -24 -9t-10 -23v-128q0 -13 8.5 -22t21.5 -10q154 -11 264 -121t121 -264q1 -13 10 -21.5t22 -8.5h128q13 0 23 10 t9 24zM1247 161q-5 154 -56 297.5t-139.5 260t-205 205t-260 139.5t-297.5 56q-14 1 -23 -9q-10 -10 -10 -23v-128q0 -13 9 -22t22 -10q204 -7 378 -111.5t278.5 -278.5t111.5 -378q1 -13 10 -22t22 -9h128q13 0 23 10q11 9 9 23zM1536 1120v-960q0 -119 -84.5 -203.5 t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf144;" d="M768 1408q209 0 385.5 -103t279.5 -279.5t103 -385.5t-103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103zM1152 585q32 18 32 55t-32 55l-544 320q-31 19 -64 1q-32 -19 -32 -56v-640q0 -37 32 -56 q16 -8 32 -8q17 0 32 9z" />
<glyph unicode="&#xf145;" horiz-adv-x="1792" d="M1024 1084l316 -316l-572 -572l-316 316zM813 105l618 618q19 19 19 45t-19 45l-362 362q-18 18 -45 18t-45 -18l-618 -618q-19 -19 -19 -45t19 -45l362 -362q18 -18 45 -18t45 18zM1702 742l-907 -908q-37 -37 -90.5 -37t-90.5 37l-126 126q56 56 56 136t-56 136 t-136 56t-136 -56l-125 126q-37 37 -37 90.5t37 90.5l907 906q37 37 90.5 37t90.5 -37l125 -125q-56 -56 -56 -136t56 -136t136 -56t136 56l126 -125q37 -37 37 -90.5t-37 -90.5z" />
<glyph unicode="&#xf146;" d="M1280 576v128q0 26 -19 45t-45 19h-896q-26 0 -45 -19t-19 -45v-128q0 -26 19 -45t45 -19h896q26 0 45 19t19 45zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5 t84.5 -203.5z" />
<glyph unicode="&#xf147;" horiz-adv-x="1408" d="M1152 736v-64q0 -14 -9 -23t-23 -9h-832q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h832q14 0 23 -9t9 -23zM1280 288v832q0 66 -47 113t-113 47h-832q-66 0 -113 -47t-47 -113v-832q0 -66 47 -113t113 -47h832q66 0 113 47t47 113zM1408 1120v-832q0 -119 -84.5 -203.5 t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h832q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf148;" horiz-adv-x="1024" d="M1018 933q-18 -37 -58 -37h-192v-864q0 -14 -9 -23t-23 -9h-704q-21 0 -29 18q-8 20 4 35l160 192q9 11 25 11h320v640h-192q-40 0 -58 37q-17 37 9 68l320 384q18 22 49 22t49 -22l320 -384q27 -32 9 -68z" />
<glyph unicode="&#xf149;" horiz-adv-x="1024" d="M32 1280h704q13 0 22.5 -9.5t9.5 -23.5v-863h192q40 0 58 -37t-9 -69l-320 -384q-18 -22 -49 -22t-49 22l-320 384q-26 31 -9 69q18 37 58 37h192v640h-320q-14 0 -25 11l-160 192q-13 14 -4 34q9 19 29 19z" />
<glyph unicode="&#xf14a;" d="M685 237l614 614q19 19 19 45t-19 45l-102 102q-19 19 -45 19t-45 -19l-467 -467l-211 211q-19 19 -45 19t-45 -19l-102 -102q-19 -19 -19 -45t19 -45l358 -358q19 -19 45 -19t45 19zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5 t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf14b;" d="M404 428l152 -152l-52 -52h-56v96h-96v56zM818 818q14 -13 -3 -30l-291 -291q-17 -17 -30 -3q-14 13 3 30l291 291q17 17 30 3zM544 128l544 544l-288 288l-544 -544v-288h288zM1152 736l92 92q28 28 28 68t-28 68l-152 152q-28 28 -68 28t-68 -28l-92 -92zM1536 1120 v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf14c;" d="M1280 608v480q0 26 -19 45t-45 19h-480q-42 0 -59 -39q-17 -41 14 -70l144 -144l-534 -534q-19 -19 -19 -45t19 -45l102 -102q19 -19 45 -19t45 19l534 534l144 -144q18 -19 45 -19q12 0 25 5q39 17 39 59zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960 q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf14d;" d="M1005 435l352 352q19 19 19 45t-19 45l-352 352q-30 31 -69 14q-40 -17 -40 -59v-160q-119 0 -216 -19.5t-162.5 -51t-114 -79t-76.5 -95.5t-44.5 -109t-21.5 -111.5t-5 -110.5q0 -181 167 -404q10 -12 25 -12q7 0 13 3q22 9 19 33q-44 354 62 473q46 52 130 75.5 t224 23.5v-160q0 -42 40 -59q12 -5 24 -5q26 0 45 19zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf14e;" d="M640 448l256 128l-256 128v-256zM1024 1039v-542l-512 -256v542zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103 t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf150;" d="M1145 861q18 -35 -5 -66l-320 -448q-19 -27 -52 -27t-52 27l-320 448q-23 31 -5 66q17 35 57 35h640q40 0 57 -35zM1280 160v960q0 13 -9.5 22.5t-22.5 9.5h-960q-13 0 -22.5 -9.5t-9.5 -22.5v-960q0 -13 9.5 -22.5t22.5 -9.5h960q13 0 22.5 9.5t9.5 22.5zM1536 1120 v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf151;" d="M1145 419q-17 -35 -57 -35h-640q-40 0 -57 35q-18 35 5 66l320 448q19 27 52 27t52 -27l320 -448q23 -31 5 -66zM1280 160v960q0 13 -9.5 22.5t-22.5 9.5h-960q-13 0 -22.5 -9.5t-9.5 -22.5v-960q0 -13 9.5 -22.5t22.5 -9.5h960q13 0 22.5 9.5t9.5 22.5zM1536 1120v-960 q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf152;" d="M1088 640q0 -33 -27 -52l-448 -320q-31 -23 -66 -5q-35 17 -35 57v640q0 40 35 57q35 18 66 -5l448 -320q27 -19 27 -52zM1280 160v960q0 14 -9 23t-23 9h-960q-14 0 -23 -9t-9 -23v-960q0 -14 9 -23t23 -9h960q14 0 23 9t9 23zM1536 1120v-960q0 -119 -84.5 -203.5 t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf153;" horiz-adv-x="1024" d="M976 229l35 -159q3 -12 -3 -22.5t-17 -14.5l-5 -1q-4 -2 -10.5 -3.5t-16 -4.5t-21.5 -5.5t-25.5 -5t-30 -5t-33.5 -4.5t-36.5 -3t-38.5 -1q-234 0 -409 130.5t-238 351.5h-95q-13 0 -22.5 9.5t-9.5 22.5v113q0 13 9.5 22.5t22.5 9.5h66q-2 57 1 105h-67q-14 0 -23 9 t-9 23v114q0 14 9 23t23 9h98q67 210 243.5 338t400.5 128q102 0 194 -23q11 -3 20 -15q6 -11 3 -24l-43 -159q-3 -13 -14 -19.5t-24 -2.5l-4 1q-4 1 -11.5 2.5l-17.5 3.5t-22.5 3.5t-26 3t-29 2.5t-29.5 1q-126 0 -226 -64t-150 -176h468q16 0 25 -12q10 -12 7 -26 l-24 -114q-5 -26 -32 -26h-488q-3 -37 0 -105h459q15 0 25 -12q9 -12 6 -27l-24 -112q-2 -11 -11 -18.5t-20 -7.5h-387q48 -117 149.5 -185.5t228.5 -68.5q18 0 36 1.5t33.5 3.5t29.5 4.5t24.5 5t18.5 4.5l12 3l5 2q13 5 26 -2q12 -7 15 -21z" />
<glyph unicode="&#xf154;" horiz-adv-x="1024" d="M1020 399v-367q0 -14 -9 -23t-23 -9h-956q-14 0 -23 9t-9 23v150q0 13 9.5 22.5t22.5 9.5h97v383h-95q-14 0 -23 9.5t-9 22.5v131q0 14 9 23t23 9h95v223q0 171 123.5 282t314.5 111q185 0 335 -125q9 -8 10 -20.5t-7 -22.5l-103 -127q-9 -11 -22 -12q-13 -2 -23 7 q-5 5 -26 19t-69 32t-93 18q-85 0 -137 -47t-52 -123v-215h305q13 0 22.5 -9t9.5 -23v-131q0 -13 -9.5 -22.5t-22.5 -9.5h-305v-379h414v181q0 13 9 22.5t23 9.5h162q14 0 23 -9.5t9 -22.5z" />
<glyph unicode="&#xf155;" horiz-adv-x="1024" d="M978 351q0 -153 -99.5 -263.5t-258.5 -136.5v-175q0 -14 -9 -23t-23 -9h-135q-13 0 -22.5 9.5t-9.5 22.5v175q-66 9 -127.5 31t-101.5 44.5t-74 48t-46.5 37.5t-17.5 18q-17 21 -2 41l103 135q7 10 23 12q15 2 24 -9l2 -2q113 -99 243 -125q37 -8 74 -8q81 0 142.5 43 t61.5 122q0 28 -15 53t-33.5 42t-58.5 37.5t-66 32t-80 32.5q-39 16 -61.5 25t-61.5 26.5t-62.5 31t-56.5 35.5t-53.5 42.5t-43.5 49t-35.5 58t-21 66.5t-8.5 78q0 138 98 242t255 134v180q0 13 9.5 22.5t22.5 9.5h135q14 0 23 -9t9 -23v-176q57 -6 110.5 -23t87 -33.5 t63.5 -37.5t39 -29t15 -14q17 -18 5 -38l-81 -146q-8 -15 -23 -16q-14 -3 -27 7q-3 3 -14.5 12t-39 26.5t-58.5 32t-74.5 26t-85.5 11.5q-95 0 -155 -43t-60 -111q0 -26 8.5 -48t29.5 -41.5t39.5 -33t56 -31t60.5 -27t70 -27.5q53 -20 81 -31.5t76 -35t75.5 -42.5t62 -50 t53 -63.5t31.5 -76.5t13 -94z" />
<glyph unicode="&#xf156;" horiz-adv-x="898" d="M898 1066v-102q0 -14 -9 -23t-23 -9h-168q-23 -144 -129 -234t-276 -110q167 -178 459 -536q14 -16 4 -34q-8 -18 -29 -18h-195q-16 0 -25 12q-306 367 -498 571q-9 9 -9 22v127q0 13 9.5 22.5t22.5 9.5h112q132 0 212.5 43t102.5 125h-427q-14 0 -23 9t-9 23v102 q0 14 9 23t23 9h413q-57 113 -268 113h-145q-13 0 -22.5 9.5t-9.5 22.5v133q0 14 9 23t23 9h832q14 0 23 -9t9 -23v-102q0 -14 -9 -23t-23 -9h-233q47 -61 64 -144h171q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf157;" horiz-adv-x="1027" d="M603 0h-172q-13 0 -22.5 9t-9.5 23v330h-288q-13 0 -22.5 9t-9.5 23v103q0 13 9.5 22.5t22.5 9.5h288v85h-288q-13 0 -22.5 9t-9.5 23v104q0 13 9.5 22.5t22.5 9.5h214l-321 578q-8 16 0 32q10 16 28 16h194q19 0 29 -18l215 -425q19 -38 56 -125q10 24 30.5 68t27.5 61 l191 420q8 19 29 19h191q17 0 27 -16q9 -14 1 -31l-313 -579h215q13 0 22.5 -9.5t9.5 -22.5v-104q0 -14 -9.5 -23t-22.5 -9h-290v-85h290q13 0 22.5 -9.5t9.5 -22.5v-103q0 -14 -9.5 -23t-22.5 -9h-290v-330q0 -13 -9.5 -22.5t-22.5 -9.5z" />
<glyph unicode="&#xf158;" horiz-adv-x="1280" d="M1043 971q0 100 -65 162t-171 62h-320v-448h320q106 0 171 62t65 162zM1280 971q0 -193 -126.5 -315t-326.5 -122h-340v-118h505q14 0 23 -9t9 -23v-128q0 -14 -9 -23t-23 -9h-505v-192q0 -14 -9.5 -23t-22.5 -9h-167q-14 0 -23 9t-9 23v192h-224q-14 0 -23 9t-9 23v128 q0 14 9 23t23 9h224v118h-224q-14 0 -23 9t-9 23v149q0 13 9 22.5t23 9.5h224v629q0 14 9 23t23 9h539q200 0 326.5 -122t126.5 -315z" />
<glyph unicode="&#xf159;" horiz-adv-x="1792" d="M514 341l81 299h-159l75 -300q1 -1 1 -3t1 -3q0 1 0.5 3.5t0.5 3.5zM630 768l35 128h-292l32 -128h225zM822 768h139l-35 128h-70zM1271 340l78 300h-162l81 -299q0 -1 0.5 -3.5t1.5 -3.5q0 1 0.5 3t0.5 3zM1382 768l33 128h-297l34 -128h230zM1792 736v-64q0 -14 -9 -23 t-23 -9h-213l-164 -616q-7 -24 -31 -24h-159q-24 0 -31 24l-166 616h-209l-167 -616q-7 -24 -31 -24h-159q-11 0 -19.5 7t-10.5 17l-160 616h-208q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h175l-33 128h-142q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h109l-89 344q-5 15 5 28 q10 12 26 12h137q26 0 31 -24l90 -360h359l97 360q7 24 31 24h126q24 0 31 -24l98 -360h365l93 360q5 24 31 24h137q16 0 26 -12q10 -13 5 -28l-91 -344h111q14 0 23 -9t9 -23v-64q0 -14 -9 -23t-23 -9h-145l-34 -128h179q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf15a;" horiz-adv-x="1280" d="M1167 896q18 -182 -131 -258q117 -28 175 -103t45 -214q-7 -71 -32.5 -125t-64.5 -89t-97 -58.5t-121.5 -34.5t-145.5 -15v-255h-154v251q-80 0 -122 1v-252h-154v255q-18 0 -54 0.5t-55 0.5h-200l31 183h111q50 0 58 51v402h16q-6 1 -16 1v287q-13 68 -89 68h-111v164 l212 -1q64 0 97 1v252h154v-247q82 2 122 2v245h154v-252q79 -7 140 -22.5t113 -45t82.5 -78t36.5 -114.5zM952 351q0 36 -15 64t-37 46t-57.5 30.5t-65.5 18.5t-74 9t-69 3t-64.5 -1t-47.5 -1v-338q8 0 37 -0.5t48 -0.5t53 1.5t58.5 4t57 8.5t55.5 14t47.5 21t39.5 30 t24.5 40t9.5 51zM881 827q0 33 -12.5 58.5t-30.5 42t-48 28t-55 16.5t-61.5 8t-58 2.5t-54 -1t-39.5 -0.5v-307q5 0 34.5 -0.5t46.5 0t50 2t55 5.5t51.5 11t48.5 18.5t37 27t27 38.5t9 51z" />
<glyph unicode="&#xf15b;" horiz-adv-x="1280" d="M1280 768v-800q0 -40 -28 -68t-68 -28h-1088q-40 0 -68 28t-28 68v1344q0 40 28 68t68 28h544v-544q0 -40 28 -68t68 -28h544zM1277 896h-509v509q82 -15 132 -65l312 -312q50 -50 65 -132z" />
<glyph unicode="&#xf15c;" horiz-adv-x="1280" d="M1024 160v64q0 14 -9 23t-23 9h-704q-14 0 -23 -9t-9 -23v-64q0 -14 9 -23t23 -9h704q14 0 23 9t9 23zM1024 416v64q0 14 -9 23t-23 9h-704q-14 0 -23 -9t-9 -23v-64q0 -14 9 -23t23 -9h704q14 0 23 9t9 23zM1280 768v-800q0 -40 -28 -68t-68 -28h-1088q-40 0 -68 28 t-28 68v1344q0 40 28 68t68 28h544v-544q0 -40 28 -68t68 -28h544zM1277 896h-509v509q82 -15 132 -65l312 -312q50 -50 65 -132z" />
<glyph unicode="&#xf15d;" horiz-adv-x="1664" d="M1191 1128h177l-72 218l-12 47q-2 16 -2 20h-4l-3 -20q0 -1 -3.5 -18t-7.5 -29zM736 96q0 -12 -10 -24l-319 -319q-10 -9 -23 -9q-12 0 -23 9l-320 320q-15 16 -7 35q8 20 30 20h192v1376q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1376h192q14 0 23 -9t9 -23zM1572 -23 v-233h-584v90l369 529q12 18 21 27l11 9v3q-2 0 -6.5 -0.5t-7.5 -0.5q-12 -3 -30 -3h-232v-115h-120v229h567v-89l-369 -530q-6 -8 -21 -26l-11 -11v-2l14 2q9 2 30 2h248v119h121zM1661 874v-106h-288v106h75l-47 144h-243l-47 -144h75v-106h-287v106h70l230 662h162 l230 -662h70z" />
<glyph unicode="&#xf15e;" horiz-adv-x="1664" d="M1191 104h177l-72 218l-12 47q-2 16 -2 20h-4l-3 -20q0 -1 -3.5 -18t-7.5 -29zM736 96q0 -12 -10 -24l-319 -319q-10 -9 -23 -9q-12 0 -23 9l-320 320q-15 16 -7 35q8 20 30 20h192v1376q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1376h192q14 0 23 -9t9 -23zM1661 -150 v-106h-288v106h75l-47 144h-243l-47 -144h75v-106h-287v106h70l230 662h162l230 -662h70zM1572 1001v-233h-584v90l369 529q12 18 21 27l11 9v3q-2 0 -6.5 -0.5t-7.5 -0.5q-12 -3 -30 -3h-232v-115h-120v229h567v-89l-369 -530q-6 -8 -21 -26l-11 -10v-3l14 3q9 1 30 1h248 v119h121z" />
<glyph unicode="&#xf160;" horiz-adv-x="1792" d="M736 96q0 -12 -10 -24l-319 -319q-10 -9 -23 -9q-12 0 -23 9l-320 320q-15 16 -7 35q8 20 30 20h192v1376q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1376h192q14 0 23 -9t9 -23zM1792 -32v-192q0 -14 -9 -23t-23 -9h-832q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h832 q14 0 23 -9t9 -23zM1600 480v-192q0 -14 -9 -23t-23 -9h-640q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h640q14 0 23 -9t9 -23zM1408 992v-192q0 -14 -9 -23t-23 -9h-448q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h448q14 0 23 -9t9 -23zM1216 1504v-192q0 -14 -9 -23t-23 -9h-256 q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h256q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf161;" horiz-adv-x="1792" d="M1216 -32v-192q0 -14 -9 -23t-23 -9h-256q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h256q14 0 23 -9t9 -23zM736 96q0 -12 -10 -24l-319 -319q-10 -9 -23 -9q-12 0 -23 9l-320 320q-15 16 -7 35q8 20 30 20h192v1376q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1376h192 q14 0 23 -9t9 -23zM1408 480v-192q0 -14 -9 -23t-23 -9h-448q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h448q14 0 23 -9t9 -23zM1600 992v-192q0 -14 -9 -23t-23 -9h-640q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h640q14 0 23 -9t9 -23zM1792 1504v-192q0 -14 -9 -23t-23 -9h-832 q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h832q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf162;" d="M1346 223q0 63 -44 116t-103 53q-52 0 -83 -37t-31 -94t36.5 -95t104.5 -38q50 0 85 27t35 68zM736 96q0 -12 -10 -24l-319 -319q-10 -9 -23 -9q-12 0 -23 9l-320 320q-15 16 -7 35q8 20 30 20h192v1376q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1376h192q14 0 23 -9t9 -23 zM1486 165q0 -62 -13 -121.5t-41 -114t-68 -95.5t-98.5 -65.5t-127.5 -24.5q-62 0 -108 16q-24 8 -42 15l39 113q15 -7 31 -11q37 -13 75 -13q84 0 134.5 58.5t66.5 145.5h-2q-21 -23 -61.5 -37t-84.5 -14q-106 0 -173 71.5t-67 172.5q0 105 72 178t181 73q123 0 205 -94.5 t82 -252.5zM1456 882v-114h-469v114h167v432q0 7 0.5 19t0.5 17v16h-2l-7 -12q-8 -13 -26 -31l-62 -58l-82 86l192 185h123v-654h165z" />
<glyph unicode="&#xf163;" d="M1346 1247q0 63 -44 116t-103 53q-52 0 -83 -37t-31 -94t36.5 -95t104.5 -38q50 0 85 27t35 68zM736 96q0 -12 -10 -24l-319 -319q-10 -9 -23 -9q-12 0 -23 9l-320 320q-15 16 -7 35q8 20 30 20h192v1376q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1376h192q14 0 23 -9 t9 -23zM1456 -142v-114h-469v114h167v432q0 7 0.5 19t0.5 17v16h-2l-7 -12q-8 -13 -26 -31l-62 -58l-82 86l192 185h123v-654h165zM1486 1189q0 -62 -13 -121.5t-41 -114t-68 -95.5t-98.5 -65.5t-127.5 -24.5q-62 0 -108 16q-24 8 -42 15l39 113q15 -7 31 -11q37 -13 75 -13 q84 0 134.5 58.5t66.5 145.5h-2q-21 -23 -61.5 -37t-84.5 -14q-106 0 -173 71.5t-67 172.5q0 105 72 178t181 73q123 0 205 -94.5t82 -252.5z" />
<glyph unicode="&#xf164;" horiz-adv-x="1664" d="M256 192q0 26 -19 45t-45 19q-27 0 -45.5 -19t-18.5 -45q0 -27 18.5 -45.5t45.5 -18.5q26 0 45 18.5t19 45.5zM416 704v-640q0 -26 -19 -45t-45 -19h-288q-26 0 -45 19t-19 45v640q0 26 19 45t45 19h288q26 0 45 -19t19 -45zM1600 704q0 -86 -55 -149q15 -44 15 -76 q3 -76 -43 -137q17 -56 0 -117q-15 -57 -54 -94q9 -112 -49 -181q-64 -76 -197 -78h-36h-76h-17q-66 0 -144 15.5t-121.5 29t-120.5 39.5q-123 43 -158 44q-26 1 -45 19.5t-19 44.5v641q0 25 18 43.5t43 20.5q24 2 76 59t101 121q68 87 101 120q18 18 31 48t17.5 48.5 t13.5 60.5q7 39 12.5 61t19.5 52t34 50q19 19 45 19q46 0 82.5 -10.5t60 -26t40 -40.5t24 -45t12 -50t5 -45t0.5 -39q0 -38 -9.5 -76t-19 -60t-27.5 -56q-3 -6 -10 -18t-11 -22t-8 -24h277q78 0 135 -57t57 -135z" />
<glyph unicode="&#xf165;" horiz-adv-x="1664" d="M256 960q0 -26 -19 -45t-45 -19q-27 0 -45.5 19t-18.5 45q0 27 18.5 45.5t45.5 18.5q26 0 45 -18.5t19 -45.5zM416 448v640q0 26 -19 45t-45 19h-288q-26 0 -45 -19t-19 -45v-640q0 -26 19 -45t45 -19h288q26 0 45 19t19 45zM1545 597q55 -61 55 -149q-1 -78 -57.5 -135 t-134.5 -57h-277q4 -14 8 -24t11 -22t10 -18q18 -37 27 -57t19 -58.5t10 -76.5q0 -24 -0.5 -39t-5 -45t-12 -50t-24 -45t-40 -40.5t-60 -26t-82.5 -10.5q-26 0 -45 19q-20 20 -34 50t-19.5 52t-12.5 61q-9 42 -13.5 60.5t-17.5 48.5t-31 48q-33 33 -101 120q-49 64 -101 121 t-76 59q-25 2 -43 20.5t-18 43.5v641q0 26 19 44.5t45 19.5q35 1 158 44q77 26 120.5 39.5t121.5 29t144 15.5h17h76h36q133 -2 197 -78q58 -69 49 -181q39 -37 54 -94q17 -61 0 -117q46 -61 43 -137q0 -32 -15 -76z" />
<glyph unicode="&#xf166;" d="M919 233v157q0 50 -29 50q-17 0 -33 -16v-224q16 -16 33 -16q29 0 29 49zM1103 355h66v34q0 51 -33 51t-33 -51v-34zM532 621v-70h-80v-423h-74v423h-78v70h232zM733 495v-367h-67v40q-39 -45 -76 -45q-33 0 -42 28q-6 16 -6 54v290h66v-270q0 -24 1 -26q1 -15 15 -15 q20 0 42 31v280h67zM985 384v-146q0 -52 -7 -73q-12 -42 -53 -42q-35 0 -68 41v-36h-67v493h67v-161q32 40 68 40q41 0 53 -42q7 -21 7 -74zM1236 255v-9q0 -29 -2 -43q-3 -22 -15 -40q-27 -40 -80 -40q-52 0 -81 38q-21 27 -21 86v129q0 59 20 86q29 38 80 38t78 -38 q21 -28 21 -86v-76h-133v-65q0 -51 34 -51q24 0 30 26q0 1 0.5 7t0.5 16.5v21.5h68zM785 1079v-156q0 -51 -32 -51t-32 51v156q0 52 32 52t32 -52zM1318 366q0 177 -19 260q-10 44 -43 73.5t-76 34.5q-136 15 -412 15q-275 0 -411 -15q-44 -5 -76.5 -34.5t-42.5 -73.5 q-20 -87 -20 -260q0 -176 20 -260q10 -43 42.5 -73t75.5 -35q137 -15 412 -15t412 15q43 5 75.5 35t42.5 73q20 84 20 260zM563 1017l90 296h-75l-51 -195l-53 195h-78l24 -69t23 -69q35 -103 46 -158v-201h74v201zM852 936v130q0 58 -21 87q-29 38 -78 38q-51 0 -78 -38 q-21 -29 -21 -87v-130q0 -58 21 -87q27 -38 78 -38q49 0 78 38q21 27 21 87zM1033 816h67v370h-67v-283q-22 -31 -42 -31q-15 0 -16 16q-1 2 -1 26v272h-67v-293q0 -37 6 -55q11 -27 43 -27q36 0 77 45v-40zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960 q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf167;" d="M971 292v-211q0 -67 -39 -67q-23 0 -45 22v301q22 22 45 22q39 0 39 -67zM1309 291v-46h-90v46q0 68 45 68t45 -68zM343 509h107v94h-312v-94h105v-569h100v569zM631 -60h89v494h-89v-378q-30 -42 -57 -42q-18 0 -21 21q-1 3 -1 35v364h-89v-391q0 -49 8 -73 q12 -37 58 -37q48 0 102 61v-54zM1060 88v197q0 73 -9 99q-17 56 -71 56q-50 0 -93 -54v217h-89v-663h89v48q45 -55 93 -55q54 0 71 55q9 27 9 100zM1398 98v13h-91q0 -51 -2 -61q-7 -36 -40 -36q-46 0 -46 69v87h179v103q0 79 -27 116q-39 51 -106 51q-68 0 -107 -51 q-28 -37 -28 -116v-173q0 -79 29 -116q39 -51 108 -51q72 0 108 53q18 27 21 54q2 9 2 58zM790 1011v210q0 69 -43 69t-43 -69v-210q0 -70 43 -70t43 70zM1509 260q0 -234 -26 -350q-14 -59 -58 -99t-102 -46q-184 -21 -555 -21t-555 21q-58 6 -102.5 46t-57.5 99 q-26 112 -26 350q0 234 26 350q14 59 58 99t103 47q183 20 554 20t555 -20q58 -7 102.5 -47t57.5 -99q26 -112 26 -350zM511 1536h102l-121 -399v-271h-100v271q-14 74 -61 212q-37 103 -65 187h106l71 -263zM881 1203v-175q0 -81 -28 -118q-37 -51 -106 -51q-67 0 -105 51 q-28 38 -28 118v175q0 80 28 117q38 51 105 51q69 0 106 -51q28 -37 28 -117zM1216 1365v-499h-91v55q-53 -62 -103 -62q-46 0 -59 37q-8 24 -8 75v394h91v-367q0 -33 1 -35q3 -22 21 -22q27 0 57 43v381h91z" />
<glyph unicode="&#xf168;" horiz-adv-x="1408" d="M597 869q-10 -18 -257 -456q-27 -46 -65 -46h-239q-21 0 -31 17t0 36l253 448q1 0 0 1l-161 279q-12 22 -1 37q9 15 32 15h239q40 0 66 -45zM1403 1511q11 -16 0 -37l-528 -934v-1l336 -615q11 -20 1 -37q-10 -15 -32 -15h-239q-42 0 -66 45l-339 622q18 32 531 942 q25 45 64 45h241q22 0 31 -15z" />
<glyph unicode="&#xf169;" d="M685 771q0 1 -126 222q-21 34 -52 34h-184q-18 0 -26 -11q-7 -12 1 -29l125 -216v-1l-196 -346q-9 -14 0 -28q8 -13 24 -13h185q31 0 50 36zM1309 1268q-7 12 -24 12h-187q-30 0 -49 -35l-411 -729q1 -2 262 -481q20 -35 52 -35h184q18 0 25 12q8 13 -1 28l-260 476v1 l409 723q8 16 0 28zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf16a;" horiz-adv-x="1792" d="M1280 640q0 37 -30 54l-512 320q-31 20 -65 2q-33 -18 -33 -56v-640q0 -38 33 -56q16 -8 31 -8q20 0 34 10l512 320q30 17 30 54zM1792 640q0 -96 -1 -150t-8.5 -136.5t-22.5 -147.5q-16 -73 -69 -123t-124 -58q-222 -25 -671 -25t-671 25q-71 8 -124.5 58t-69.5 123 q-14 65 -21.5 147.5t-8.5 136.5t-1 150t1 150t8.5 136.5t22.5 147.5q16 73 69 123t124 58q222 25 671 25t671 -25q71 -8 124.5 -58t69.5 -123q14 -65 21.5 -147.5t8.5 -136.5t1 -150z" />
<glyph unicode="&#xf16b;" horiz-adv-x="1792" d="M402 829l494 -305l-342 -285l-490 319zM1388 274v-108l-490 -293v-1l-1 1l-1 -1v1l-489 293v108l147 -96l342 284v2l1 -1l1 1v-2l343 -284zM554 1418l342 -285l-494 -304l-338 270zM1390 829l338 -271l-489 -319l-343 285zM1239 1418l489 -319l-338 -270l-494 304z" />
<glyph unicode="&#xf16c;" horiz-adv-x="1408" d="M928 135v-151l-707 -1v151zM1169 481v-701l-1 -35v-1h-1132l-35 1h-1v736h121v-618h928v618h120zM241 393l704 -65l-13 -150l-705 65zM309 709l683 -183l-39 -146l-683 183zM472 1058l609 -360l-77 -130l-609 360zM832 1389l398 -585l-124 -85l-399 584zM1285 1536 l121 -697l-149 -26l-121 697z" />
<glyph unicode="&#xf16d;" d="M1362 110v648h-135q20 -63 20 -131q0 -126 -64 -232.5t-174 -168.5t-240 -62q-197 0 -337 135.5t-140 327.5q0 68 20 131h-141v-648q0 -26 17.5 -43.5t43.5 -17.5h1069q25 0 43 17.5t18 43.5zM1078 643q0 124 -90.5 211.5t-218.5 87.5q-127 0 -217.5 -87.5t-90.5 -211.5 t90.5 -211.5t217.5 -87.5q128 0 218.5 87.5t90.5 211.5zM1362 1003v165q0 28 -20 48.5t-49 20.5h-174q-29 0 -49 -20.5t-20 -48.5v-165q0 -29 20 -49t49 -20h174q29 0 49 20t20 49zM1536 1211v-1142q0 -81 -58 -139t-139 -58h-1142q-81 0 -139 58t-58 139v1142q0 81 58 139 t139 58h1142q81 0 139 -58t58 -139z" />
<glyph unicode="&#xf16e;" d="M1248 1408q119 0 203.5 -84.5t84.5 -203.5v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960zM698 640q0 88 -62 150t-150 62t-150 -62t-62 -150t62 -150t150 -62t150 62t62 150zM1262 640q0 88 -62 150 t-150 62t-150 -62t-62 -150t62 -150t150 -62t150 62t62 150z" />
<glyph unicode="&#xf170;" d="M768 914l201 -306h-402zM1133 384h94l-459 691l-459 -691h94l104 160h522zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf171;" horiz-adv-x="1408" d="M815 677q8 -63 -50.5 -101t-111.5 -6q-39 17 -53.5 58t-0.5 82t52 58q36 18 72.5 12t64 -35.5t27.5 -67.5zM926 698q-14 107 -113 164t-197 13q-63 -28 -100.5 -88.5t-34.5 -129.5q4 -91 77.5 -155t165.5 -56q91 8 152 84t50 168zM1165 1240q-20 27 -56 44.5t-58 22 t-71 12.5q-291 47 -566 -2q-43 -7 -66 -12t-55 -22t-50 -43q30 -28 76 -45.5t73.5 -22t87.5 -11.5q228 -29 448 -1q63 8 89.5 12t72.5 21.5t75 46.5zM1222 205q-8 -26 -15.5 -76.5t-14 -84t-28.5 -70t-58 -56.5q-86 -48 -189.5 -71.5t-202 -22t-201.5 18.5q-46 8 -81.5 18 t-76.5 27t-73 43.5t-52 61.5q-25 96 -57 292l6 16l18 9q223 -148 506.5 -148t507.5 148q21 -6 24 -23t-5 -45t-8 -37zM1403 1166q-26 -167 -111 -655q-5 -30 -27 -56t-43.5 -40t-54.5 -31q-252 -126 -610 -88q-248 27 -394 139q-15 12 -25.5 26.5t-17 35t-9 34t-6 39.5 t-5.5 35q-9 50 -26.5 150t-28 161.5t-23.5 147.5t-22 158q3 26 17.5 48.5t31.5 37.5t45 30t46 22.5t48 18.5q125 46 313 64q379 37 676 -50q155 -46 215 -122q16 -20 16.5 -51t-5.5 -54z" />
<glyph unicode="&#xf172;" d="M848 666q0 43 -41 66t-77 1q-43 -20 -42.5 -72.5t43.5 -70.5q39 -23 81 4t36 72zM928 682q8 -66 -36 -121t-110 -61t-119 40t-56 113q-2 49 25.5 93t72.5 64q70 31 141.5 -10t81.5 -118zM1100 1073q-20 -21 -53.5 -34t-53 -16t-63.5 -8q-155 -20 -324 0q-44 6 -63 9.5 t-52.5 16t-54.5 32.5q13 19 36 31t40 15.5t47 8.5q198 35 408 1q33 -5 51 -8.5t43 -16t39 -31.5zM1142 327q0 7 5.5 26.5t3 32t-17.5 16.5q-161 -106 -365 -106t-366 106l-12 -6l-5 -12q26 -154 41 -210q47 -81 204 -108q249 -46 428 53q34 19 49 51.5t22.5 85.5t12.5 71z M1272 1020q9 53 -8 75q-43 55 -155 88q-216 63 -487 36q-132 -12 -226 -46q-38 -15 -59.5 -25t-47 -34t-29.5 -54q8 -68 19 -138t29 -171t24 -137q1 -5 5 -31t7 -36t12 -27t22 -28q105 -80 284 -100q259 -28 440 63q24 13 39.5 23t31 29t19.5 40q48 267 80 473zM1536 1120 v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf173;" horiz-adv-x="1024" d="M390 1408h219v-388h364v-241h-364v-394q0 -136 14 -172q13 -37 52 -60q50 -31 117 -31q117 0 232 76v-242q-102 -48 -178 -65q-77 -19 -173 -19q-105 0 -186 27q-78 25 -138 75q-58 51 -79 105q-22 54 -22 161v539h-170v217q91 30 155 84q64 55 103 132q39 78 54 196z " />
<glyph unicode="&#xf174;" d="M1123 127v181q-88 -56 -174 -56q-51 0 -88 23q-29 17 -39 45q-11 30 -11 129v295h274v181h-274v291h-164q-11 -90 -40 -147t-78 -99q-48 -40 -116 -63v-163h127v-404q0 -78 17 -121q17 -42 59 -78q43 -37 104 -57q62 -20 140 -20q67 0 129 14q57 13 134 49zM1536 1120 v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf175;" horiz-adv-x="768" d="M765 237q8 -19 -5 -35l-350 -384q-10 -10 -23 -10q-14 0 -24 10l-355 384q-13 16 -5 35q9 19 29 19h224v1248q0 14 9 23t23 9h192q14 0 23 -9t9 -23v-1248h224q21 0 29 -19z" />
<glyph unicode="&#xf176;" horiz-adv-x="768" d="M765 1043q-9 -19 -29 -19h-224v-1248q0 -14 -9 -23t-23 -9h-192q-14 0 -23 9t-9 23v1248h-224q-21 0 -29 19t5 35l350 384q10 10 23 10q14 0 24 -10l355 -384q13 -16 5 -35z" />
<glyph unicode="&#xf177;" horiz-adv-x="1792" d="M1792 736v-192q0 -14 -9 -23t-23 -9h-1248v-224q0 -21 -19 -29t-35 5l-384 350q-10 10 -10 23q0 14 10 24l384 354q16 14 35 6q19 -9 19 -29v-224h1248q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf178;" horiz-adv-x="1792" d="M1728 643q0 -14 -10 -24l-384 -354q-16 -14 -35 -6q-19 9 -19 29v224h-1248q-14 0 -23 9t-9 23v192q0 14 9 23t23 9h1248v224q0 21 19 29t35 -5l384 -350q10 -10 10 -23z" />
<glyph unicode="&#xf179;" horiz-adv-x="1408" d="M1393 321q-39 -125 -123 -250q-129 -196 -257 -196q-49 0 -140 32q-86 32 -151 32q-61 0 -142 -33q-81 -34 -132 -34q-152 0 -301 259q-147 261 -147 503q0 228 113 374q112 144 284 144q72 0 177 -30q104 -30 138 -30q45 0 143 34q102 34 173 34q119 0 213 -65 q52 -36 104 -100q-79 -67 -114 -118q-65 -94 -65 -207q0 -124 69 -223t158 -126zM1017 1494q0 -61 -29 -136q-30 -75 -93 -138q-54 -54 -108 -72q-37 -11 -104 -17q3 149 78 257q74 107 250 148q1 -3 2.5 -11t2.5 -11q0 -4 0.5 -10t0.5 -10z" />
<glyph unicode="&#xf17a;" horiz-adv-x="1664" d="M682 530v-651l-682 94v557h682zM682 1273v-659h-682v565zM1664 530v-786l-907 125v661h907zM1664 1408v-794h-907v669z" />
<glyph unicode="&#xf17b;" horiz-adv-x="1408" d="M493 1053q16 0 27.5 11.5t11.5 27.5t-11.5 27.5t-27.5 11.5t-27 -11.5t-11 -27.5t11 -27.5t27 -11.5zM915 1053q16 0 27 11.5t11 27.5t-11 27.5t-27 11.5t-27.5 -11.5t-11.5 -27.5t11.5 -27.5t27.5 -11.5zM103 869q42 0 72 -30t30 -72v-430q0 -43 -29.5 -73t-72.5 -30 t-73 30t-30 73v430q0 42 30 72t73 30zM1163 850v-666q0 -46 -32 -78t-77 -32h-75v-227q0 -43 -30 -73t-73 -30t-73 30t-30 73v227h-138v-227q0 -43 -30 -73t-73 -30q-42 0 -72 30t-30 73l-1 227h-74q-46 0 -78 32t-32 78v666h918zM931 1255q107 -55 171 -153.5t64 -215.5 h-925q0 117 64 215.5t172 153.5l-71 131q-7 13 5 20q13 6 20 -6l72 -132q95 42 201 42t201 -42l72 132q7 12 20 6q12 -7 5 -20zM1408 767v-430q0 -43 -30 -73t-73 -30q-42 0 -72 30t-30 73v430q0 43 30 72.5t72 29.5q43 0 73 -29.5t30 -72.5z" />
<glyph unicode="&#xf17c;" d="M663 1125q-11 -1 -15.5 -10.5t-8.5 -9.5q-5 -1 -5 5q0 12 19 15h10zM750 1111q-4 -1 -11.5 6.5t-17.5 4.5q24 11 32 -2q3 -6 -3 -9zM399 684q-4 1 -6 -3t-4.5 -12.5t-5.5 -13.5t-10 -13q-7 -10 -1 -12q4 -1 12.5 7t12.5 18q1 3 2 7t2 6t1.5 4.5t0.5 4v3t-1 2.5t-3 2z M1254 325q0 18 -55 42q4 15 7.5 27.5t5 26t3 21.5t0.5 22.5t-1 19.5t-3.5 22t-4 20.5t-5 25t-5.5 26.5q-10 48 -47 103t-72 75q24 -20 57 -83q87 -162 54 -278q-11 -40 -50 -42q-31 -4 -38.5 18.5t-8 83.5t-11.5 107q-9 39 -19.5 69t-19.5 45.5t-15.5 24.5t-13 15t-7.5 7 q-14 62 -31 103t-29.5 56t-23.5 33t-15 40q-4 21 6 53.5t4.5 49.5t-44.5 25q-15 3 -44.5 18t-35.5 16q-8 1 -11 26t8 51t36 27q37 3 51 -30t4 -58q-11 -19 -2 -26.5t30 -0.5q13 4 13 36v37q-5 30 -13.5 50t-21 30.5t-23.5 15t-27 7.5q-107 -8 -89 -134q0 -15 -1 -15 q-9 9 -29.5 10.5t-33 -0.5t-15.5 5q1 57 -16 90t-45 34q-27 1 -41.5 -27.5t-16.5 -59.5q-1 -15 3.5 -37t13 -37.5t15.5 -13.5q10 3 16 14q4 9 -7 8q-7 0 -15.5 14.5t-9.5 33.5q-1 22 9 37t34 14q17 0 27 -21t9.5 -39t-1.5 -22q-22 -15 -31 -29q-8 -12 -27.5 -23.5 t-20.5 -12.5q-13 -14 -15.5 -27t7.5 -18q14 -8 25 -19.5t16 -19t18.5 -13t35.5 -6.5q47 -2 102 15q2 1 23 7t34.5 10.5t29.5 13t21 17.5q9 14 20 8q5 -3 6.5 -8.5t-3 -12t-16.5 -9.5q-20 -6 -56.5 -21.5t-45.5 -19.5q-44 -19 -70 -23q-25 -5 -79 2q-10 2 -9 -2t17 -19 q25 -23 67 -22q17 1 36 7t36 14t33.5 17.5t30 17t24.5 12t17.5 2.5t8.5 -11q0 -2 -1 -4.5t-4 -5t-6 -4.5t-8.5 -5t-9 -4.5t-10 -5t-9.5 -4.5q-28 -14 -67.5 -44t-66.5 -43t-49 -1q-21 11 -63 73q-22 31 -25 22q-1 -3 -1 -10q0 -25 -15 -56.5t-29.5 -55.5t-21 -58t11.5 -63 q-23 -6 -62.5 -90t-47.5 -141q-2 -18 -1.5 -69t-5.5 -59q-8 -24 -29 -3q-32 31 -36 94q-2 28 4 56q4 19 -1 18l-4 -5q-36 -65 10 -166q5 -12 25 -28t24 -20q20 -23 104 -90.5t93 -76.5q16 -15 17.5 -38t-14 -43t-45.5 -23q8 -15 29 -44.5t28 -54t7 -70.5q46 24 7 92 q-4 8 -10.5 16t-9.5 12t-2 6q3 5 13 9.5t20 -2.5q46 -52 166 -36q133 15 177 87q23 38 34 30q12 -6 10 -52q-1 -25 -23 -92q-9 -23 -6 -37.5t24 -15.5q3 19 14.5 77t13.5 90q2 21 -6.5 73.5t-7.5 97t23 70.5q15 18 51 18q1 37 34.5 53t72.5 10.5t60 -22.5zM626 1152 q3 17 -2.5 30t-11.5 15q-9 2 -9 -7q2 -5 5 -6q10 0 7 -15q-3 -20 8 -20q3 0 3 3zM1045 955q-2 8 -6.5 11.5t-13 5t-14.5 5.5q-5 3 -9.5 8t-7 8t-5.5 6.5t-4 4t-4 -1.5q-14 -16 7 -43.5t39 -31.5q9 -1 14.5 8t3.5 20zM867 1168q0 11 -5 19.5t-11 12.5t-9 3q-14 -1 -7 -7l4 -2 q14 -4 18 -31q0 -3 8 2zM921 1401q0 2 -2.5 5t-9 7t-9.5 6q-15 15 -24 15q-9 -1 -11.5 -7.5t-1 -13t-0.5 -12.5q-1 -4 -6 -10.5t-6 -9t3 -8.5q4 -3 8 0t11 9t15 9q1 1 9 1t15 2t9 7zM1486 60q20 -12 31 -24.5t12 -24t-2.5 -22.5t-15.5 -22t-23.5 -19.5t-30 -18.5 t-31.5 -16.5t-32 -15.5t-27 -13q-38 -19 -85.5 -56t-75.5 -64q-17 -16 -68 -19.5t-89 14.5q-18 9 -29.5 23.5t-16.5 25.5t-22 19.5t-47 9.5q-44 1 -130 1q-19 0 -57 -1.5t-58 -2.5q-44 -1 -79.5 -15t-53.5 -30t-43.5 -28.5t-53.5 -11.5q-29 1 -111 31t-146 43q-19 4 -51 9.5 t-50 9t-39.5 9.5t-33.5 14.5t-17 19.5q-10 23 7 66.5t18 54.5q1 16 -4 40t-10 42.5t-4.5 36.5t10.5 27q14 12 57 14t60 12q30 18 42 35t12 51q21 -73 -32 -106q-32 -20 -83 -15q-34 3 -43 -10q-13 -15 5 -57q2 -6 8 -18t8.5 -18t4.5 -17t1 -22q0 -15 -17 -49t-14 -48 q3 -17 37 -26q20 -6 84.5 -18.5t99.5 -20.5q24 -6 74 -22t82.5 -23t55.5 -4q43 6 64.5 28t23 48t-7.5 58.5t-19 52t-20 36.5q-121 190 -169 242q-68 74 -113 40q-11 -9 -15 15q-3 16 -2 38q1 29 10 52t24 47t22 42q8 21 26.5 72t29.5 78t30 61t39 54q110 143 124 195 q-12 112 -16 310q-2 90 24 151.5t106 104.5q39 21 104 21q53 1 106 -13.5t89 -41.5q57 -42 91.5 -121.5t29.5 -147.5q-5 -95 30 -214q34 -113 133 -218q55 -59 99.5 -163t59.5 -191q8 -49 5 -84.5t-12 -55.5t-20 -22q-10 -2 -23.5 -19t-27 -35.5t-40.5 -33.5t-61 -14 q-18 1 -31.5 5t-22.5 13.5t-13.5 15.5t-11.5 20.5t-9 19.5q-22 37 -41 30t-28 -49t7 -97q20 -70 1 -195q-10 -65 18 -100.5t73 -33t85 35.5q59 49 89.5 66.5t103.5 42.5q53 18 77 36.5t18.5 34.5t-25 28.5t-51.5 23.5q-33 11 -49.5 48t-15 72.5t15.5 47.5q1 -31 8 -56.5 t14.5 -40.5t20.5 -28.5t21 -19t21.5 -13t16.5 -9.5z" />
<glyph unicode="&#xf17d;" d="M1024 36q-42 241 -140 498h-2l-2 -1q-16 -6 -43 -16.5t-101 -49t-137 -82t-131 -114.5t-103 -148l-15 11q184 -150 418 -150q132 0 256 52zM839 643q-21 49 -53 111q-311 -93 -673 -93q-1 -7 -1 -21q0 -124 44 -236.5t124 -201.5q50 89 123.5 166.5t142.5 124.5t130.5 81 t99.5 48l37 13q4 1 13 3.5t13 4.5zM732 855q-120 213 -244 378q-138 -65 -234 -186t-128 -272q302 0 606 80zM1416 536q-210 60 -409 29q87 -239 128 -469q111 75 185 189.5t96 250.5zM611 1277q-1 0 -2 -1q1 1 2 1zM1201 1132q-185 164 -433 164q-76 0 -155 -19 q131 -170 246 -382q69 26 130 60.5t96.5 61.5t65.5 57t37.5 40.5zM1424 647q-3 232 -149 410l-1 -1q-9 -12 -19 -24.5t-43.5 -44.5t-71 -60.5t-100 -65t-131.5 -64.5q25 -53 44 -95q2 -6 6.5 -17.5t7.5 -16.5q36 5 74.5 7t73.5 2t69 -1.5t64 -4t56.5 -5.5t48 -6.5t36.5 -6 t25 -4.5zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf17e;" d="M1173 473q0 50 -19.5 91.5t-48.5 68.5t-73 49t-82.5 34t-87.5 23l-104 24q-30 7 -44 10.5t-35 11.5t-30 16t-16.5 21t-7.5 30q0 77 144 77q43 0 77 -12t54 -28.5t38 -33.5t40 -29t48 -12q47 0 75.5 32t28.5 77q0 55 -56 99.5t-142 67.5t-182 23q-68 0 -132 -15.5 t-119.5 -47t-89 -87t-33.5 -128.5q0 -61 19 -106.5t56 -75.5t80 -48.5t103 -32.5l146 -36q90 -22 112 -36q32 -20 32 -60q0 -39 -40 -64.5t-105 -25.5q-51 0 -91.5 16t-65 38.5t-45.5 45t-46 38.5t-54 16q-50 0 -75.5 -30t-25.5 -75q0 -92 122 -157.5t291 -65.5 q73 0 140 18.5t122.5 53.5t88.5 93.5t33 131.5zM1536 256q0 -159 -112.5 -271.5t-271.5 -112.5q-130 0 -234 80q-77 -16 -150 -16q-143 0 -273.5 55.5t-225 150t-150 225t-55.5 273.5q0 73 16 150q-80 104 -80 234q0 159 112.5 271.5t271.5 112.5q130 0 234 -80 q77 16 150 16q143 0 273.5 -55.5t225 -150t150 -225t55.5 -273.5q0 -73 -16 -150q80 -104 80 -234z" />
<glyph unicode="&#xf180;" horiz-adv-x="1664" d="M1483 512l-587 -587q-52 -53 -127.5 -53t-128.5 53l-587 587q-53 53 -53 128t53 128l587 587q53 53 128 53t128 -53l265 -265l-398 -399l-188 188q-42 42 -99 42q-59 0 -100 -41l-120 -121q-42 -40 -42 -99q0 -58 42 -100l406 -408q30 -28 67 -37l6 -4h28q60 0 99 41 l619 619l2 -3q53 -53 53 -128t-53 -128zM1406 1138l120 -120q14 -15 14 -36t-14 -36l-730 -730q-17 -15 -37 -15v0q-4 0 -6 1q-18 2 -30 14l-407 408q-14 15 -14 36t14 35l121 120q13 15 35 15t36 -15l252 -252l574 575q15 15 36 15t36 -15z" />
<glyph unicode="&#xf181;" d="M704 192v1024q0 14 -9 23t-23 9h-480q-14 0 -23 -9t-9 -23v-1024q0 -14 9 -23t23 -9h480q14 0 23 9t9 23zM1376 576v640q0 14 -9 23t-23 9h-480q-14 0 -23 -9t-9 -23v-640q0 -14 9 -23t23 -9h480q14 0 23 9t9 23zM1536 1344v-1408q0 -26 -19 -45t-45 -19h-1408 q-26 0 -45 19t-19 45v1408q0 26 19 45t45 19h1408q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf182;" horiz-adv-x="1280" d="M1280 480q0 -40 -28 -68t-68 -28q-51 0 -80 43l-227 341h-45v-132l247 -411q9 -15 9 -33q0 -26 -19 -45t-45 -19h-192v-272q0 -46 -33 -79t-79 -33h-160q-46 0 -79 33t-33 79v272h-192q-26 0 -45 19t-19 45q0 18 9 33l247 411v132h-45l-227 -341q-29 -43 -80 -43 q-40 0 -68 28t-28 68q0 29 16 53l256 384q73 107 176 107h384q103 0 176 -107l256 -384q16 -24 16 -53zM864 1280q0 -93 -65.5 -158.5t-158.5 -65.5t-158.5 65.5t-65.5 158.5t65.5 158.5t158.5 65.5t158.5 -65.5t65.5 -158.5z" />
<glyph unicode="&#xf183;" horiz-adv-x="1024" d="M1024 832v-416q0 -40 -28 -68t-68 -28t-68 28t-28 68v352h-64v-912q0 -46 -33 -79t-79 -33t-79 33t-33 79v464h-64v-464q0 -46 -33 -79t-79 -33t-79 33t-33 79v912h-64v-352q0 -40 -28 -68t-68 -28t-68 28t-28 68v416q0 80 56 136t136 56h640q80 0 136 -56t56 -136z M736 1280q0 -93 -65.5 -158.5t-158.5 -65.5t-158.5 65.5t-65.5 158.5t65.5 158.5t158.5 65.5t158.5 -65.5t65.5 -158.5z" />
<glyph unicode="&#xf184;" d="M773 234l350 473q16 22 24.5 59t-6 85t-61.5 79q-40 26 -83 25.5t-73.5 -17.5t-54.5 -45q-36 -40 -96 -40q-59 0 -95 40q-24 28 -54.5 45t-73.5 17.5t-84 -25.5q-46 -31 -60.5 -79t-6 -85t24.5 -59zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103 t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf185;" horiz-adv-x="1792" d="M1472 640q0 117 -45.5 223.5t-123 184t-184 123t-223.5 45.5t-223.5 -45.5t-184 -123t-123 -184t-45.5 -223.5t45.5 -223.5t123 -184t184 -123t223.5 -45.5t223.5 45.5t184 123t123 184t45.5 223.5zM1748 363q-4 -15 -20 -20l-292 -96v-306q0 -16 -13 -26q-15 -10 -29 -4 l-292 94l-180 -248q-10 -13 -26 -13t-26 13l-180 248l-292 -94q-14 -6 -29 4q-13 10 -13 26v306l-292 96q-16 5 -20 20q-5 17 4 29l180 248l-180 248q-9 13 -4 29q4 15 20 20l292 96v306q0 16 13 26q15 10 29 4l292 -94l180 248q9 12 26 12t26 -12l180 -248l292 94 q14 6 29 -4q13 -10 13 -26v-306l292 -96q16 -5 20 -20q5 -16 -4 -29l-180 -248l180 -248q9 -12 4 -29z" />
<glyph unicode="&#xf186;" d="M1262 233q-54 -9 -110 -9q-182 0 -337 90t-245 245t-90 337q0 192 104 357q-201 -60 -328.5 -229t-127.5 -384q0 -130 51 -248.5t136.5 -204t204 -136.5t248.5 -51q144 0 273.5 61.5t220.5 171.5zM1465 318q-94 -203 -283.5 -324.5t-413.5 -121.5q-156 0 -298 61 t-245 164t-164 245t-61 298q0 153 57.5 292.5t156 241.5t235.5 164.5t290 68.5q44 2 61 -39q18 -41 -15 -72q-86 -78 -131.5 -181.5t-45.5 -218.5q0 -148 73 -273t198 -198t273 -73q118 0 228 51q41 18 72 -13q14 -14 17.5 -34t-4.5 -38z" />
<glyph unicode="&#xf187;" horiz-adv-x="1792" d="M1088 704q0 26 -19 45t-45 19h-256q-26 0 -45 -19t-19 -45t19 -45t45 -19h256q26 0 45 19t19 45zM1664 896v-960q0 -26 -19 -45t-45 -19h-1408q-26 0 -45 19t-19 45v960q0 26 19 45t45 19h1408q26 0 45 -19t19 -45zM1728 1344v-256q0 -26 -19 -45t-45 -19h-1536 q-26 0 -45 19t-19 45v256q0 26 19 45t45 19h1536q26 0 45 -19t19 -45z" />
<glyph unicode="&#xf188;" horiz-adv-x="1664" d="M1632 576q0 -26 -19 -45t-45 -19h-224q0 -171 -67 -290l208 -209q19 -19 19 -45t-19 -45q-18 -19 -45 -19t-45 19l-198 197q-5 -5 -15 -13t-42 -28.5t-65 -36.5t-82 -29t-97 -13v896h-128v-896q-51 0 -101.5 13.5t-87 33t-66 39t-43.5 32.5l-15 14l-183 -207 q-20 -21 -48 -21q-24 0 -43 16q-19 18 -20.5 44.5t15.5 46.5l202 227q-58 114 -58 274h-224q-26 0 -45 19t-19 45t19 45t45 19h224v294l-173 173q-19 19 -19 45t19 45t45 19t45 -19l173 -173h844l173 173q19 19 45 19t45 -19t19 -45t-19 -45l-173 -173v-294h224q26 0 45 -19 t19 -45zM1152 1152h-640q0 133 93.5 226.5t226.5 93.5t226.5 -93.5t93.5 -226.5z" />
<glyph unicode="&#xf189;" horiz-adv-x="1920" d="M1917 1016q23 -64 -150 -294q-24 -32 -65 -85q-78 -100 -90 -131q-17 -41 14 -81q17 -21 81 -82h1l1 -1l1 -1l2 -2q141 -131 191 -221q3 -5 6.5 -12.5t7 -26.5t-0.5 -34t-25 -27.5t-59 -12.5l-256 -4q-24 -5 -56 5t-52 22l-20 12q-30 21 -70 64t-68.5 77.5t-61 58 t-56.5 15.5q-3 -1 -8 -3.5t-17 -14.5t-21.5 -29.5t-17 -52t-6.5 -77.5q0 -15 -3.5 -27.5t-7.5 -18.5l-4 -5q-18 -19 -53 -22h-115q-71 -4 -146 16.5t-131.5 53t-103 66t-70.5 57.5l-25 24q-10 10 -27.5 30t-71.5 91t-106 151t-122.5 211t-130.5 272q-6 16 -6 27t3 16l4 6 q15 19 57 19l274 2q12 -2 23 -6.5t16 -8.5l5 -3q16 -11 24 -32q20 -50 46 -103.5t41 -81.5l16 -29q29 -60 56 -104t48.5 -68.5t41.5 -38.5t34 -14t27 5q2 1 5 5t12 22t13.5 47t9.5 81t0 125q-2 40 -9 73t-14 46l-6 12q-25 34 -85 43q-13 2 5 24q17 19 38 30q53 26 239 24 q82 -1 135 -13q20 -5 33.5 -13.5t20.5 -24t10.5 -32t3.5 -45.5t-1 -55t-2.5 -70.5t-1.5 -82.5q0 -11 -1 -42t-0.5 -48t3.5 -40.5t11.5 -39t22.5 -24.5q8 -2 17 -4t26 11t38 34.5t52 67t68 107.5q60 104 107 225q4 10 10 17.5t11 10.5l4 3l5 2.5t13 3t20 0.5l288 2 q39 5 64 -2.5t31 -16.5z" />
<glyph unicode="&#xf18a;" horiz-adv-x="1792" d="M675 252q21 34 11 69t-45 50q-34 14 -73 1t-60 -46q-22 -34 -13 -68.5t43 -50.5t74.5 -2.5t62.5 47.5zM769 373q8 13 3.5 26.5t-17.5 18.5q-14 5 -28.5 -0.5t-21.5 -18.5q-17 -31 13 -45q14 -5 29 0.5t22 18.5zM943 266q-45 -102 -158 -150t-224 -12 q-107 34 -147.5 126.5t6.5 187.5q47 93 151.5 139t210.5 19q111 -29 158.5 -119.5t2.5 -190.5zM1255 426q-9 96 -89 170t-208.5 109t-274.5 21q-223 -23 -369.5 -141.5t-132.5 -264.5q9 -96 89 -170t208.5 -109t274.5 -21q223 23 369.5 141.5t132.5 264.5zM1563 422 q0 -68 -37 -139.5t-109 -137t-168.5 -117.5t-226 -83t-270.5 -31t-275 33.5t-240.5 93t-171.5 151t-65 199.5q0 115 69.5 245t197.5 258q169 169 341.5 236t246.5 -7q65 -64 20 -209q-4 -14 -1 -20t10 -7t14.5 0.5t13.5 3.5l6 2q139 59 246 59t153 -61q45 -63 0 -178 q-2 -13 -4.5 -20t4.5 -12.5t12 -7.5t17 -6q57 -18 103 -47t80 -81.5t34 -116.5zM1489 1046q42 -47 54.5 -108.5t-6.5 -117.5q-8 -23 -29.5 -34t-44.5 -4q-23 8 -34 29.5t-4 44.5q20 63 -24 111t-107 35q-24 -5 -45 8t-25 37q-5 24 8 44.5t37 25.5q60 13 119 -5.5t101 -65.5z M1670 1209q87 -96 112.5 -222.5t-13.5 -241.5q-9 -27 -34 -40t-52 -4t-40 34t-5 52q28 82 10 172t-80 158q-62 69 -148 95.5t-173 8.5q-28 -6 -52 9.5t-30 43.5t9.5 51.5t43.5 29.5q123 26 244 -11.5t208 -134.5z" />
<glyph unicode="&#xf18b;" d="M1133 -34q-171 -94 -368 -94q-196 0 -367 94q138 87 235.5 211t131.5 268q35 -144 132.5 -268t235.5 -211zM638 1394v-485q0 -252 -126.5 -459.5t-330.5 -306.5q-181 215 -181 495q0 187 83.5 349.5t229.5 269.5t325 137zM1536 638q0 -280 -181 -495 q-204 99 -330.5 306.5t-126.5 459.5v485q179 -30 325 -137t229.5 -269.5t83.5 -349.5z" />
<glyph unicode="&#xf18c;" horiz-adv-x="1408" d="M1402 433q-32 -80 -76 -138t-91 -88.5t-99 -46.5t-101.5 -14.5t-96.5 8.5t-86.5 22t-69.5 27.5t-46 22.5l-17 10q-113 -228 -289.5 -359.5t-384.5 -132.5q-19 0 -32 13t-13 32t13 31.5t32 12.5q173 1 322.5 107.5t251.5 294.5q-36 -14 -72 -23t-83 -13t-91 2.5t-93 28.5 t-92 59t-84.5 100t-74.5 146q114 47 214 57t167.5 -7.5t124.5 -56.5t88.5 -77t56.5 -82q53 131 79 291q-7 -1 -18 -2.5t-46.5 -2.5t-69.5 0.5t-81.5 10t-88.5 23t-84 42.5t-75 65t-54.5 94.5t-28.5 127.5q70 28 133.5 36.5t112.5 -1t92 -30t73.5 -50t56 -61t42 -63t27.5 -56 t16 -39.5l4 -16q12 122 12 195q-8 6 -21.5 16t-49 44.5t-63.5 71.5t-54 93t-33 112.5t12 127t70 138.5q73 -25 127.5 -61.5t84.5 -76.5t48 -85t20.5 -89t-0.5 -85.5t-13 -76.5t-19 -62t-17 -42l-7 -15q1 -5 1 -50.5t-1 -71.5q3 7 10 18.5t30.5 43t50.5 58t71 55.5t91.5 44.5 t112 14.5t132.5 -24q-2 -78 -21.5 -141.5t-50 -104.5t-69.5 -71.5t-81.5 -45.5t-84.5 -24t-80 -9.5t-67.5 1t-46.5 4.5l-17 3q-23 -147 -73 -283q6 7 18 18.5t49.5 41t77.5 52.5t99.5 42t117.5 20t129 -23.5t137 -77.5z" />
<glyph unicode="&#xf18d;" horiz-adv-x="1280" d="M1259 283v-66q0 -85 -57.5 -144.5t-138.5 -59.5h-57l-260 -269v269h-529q-81 0 -138.5 59.5t-57.5 144.5v66h1238zM1259 609v-255h-1238v255h1238zM1259 937v-255h-1238v255h1238zM1259 1077v-67h-1238v67q0 84 57.5 143.5t138.5 59.5h846q81 0 138.5 -59.5t57.5 -143.5z " />
<glyph unicode="&#xf18e;" d="M1152 640q0 -14 -9 -23l-320 -320q-9 -9 -23 -9q-13 0 -22.5 9.5t-9.5 22.5v192h-352q-13 0 -22.5 9.5t-9.5 22.5v192q0 13 9.5 22.5t22.5 9.5h352v192q0 14 9 23t23 9q12 0 24 -10l319 -319q9 -9 9 -23zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198 t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf190;" d="M1152 736v-192q0 -13 -9.5 -22.5t-22.5 -9.5h-352v-192q0 -14 -9 -23t-23 -9q-12 0 -24 10l-319 319q-9 9 -9 23t9 23l320 320q9 9 23 9q13 0 22.5 -9.5t9.5 -22.5v-192h352q13 0 22.5 -9.5t9.5 -22.5zM1312 640q0 148 -73 273t-198 198t-273 73t-273 -73t-198 -198 t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273zM1536 640q0 -209 -103 -385.5t-279.5 -279.5t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf191;" d="M1024 960v-640q0 -26 -19 -45t-45 -19q-20 0 -37 12l-448 320q-27 19 -27 52t27 52l448 320q17 12 37 12q26 0 45 -19t19 -45zM1280 160v960q0 13 -9.5 22.5t-22.5 9.5h-960q-13 0 -22.5 -9.5t-9.5 -22.5v-960q0 -13 9.5 -22.5t22.5 -9.5h960q13 0 22.5 9.5t9.5 22.5z M1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf192;" d="M1024 640q0 -106 -75 -181t-181 -75t-181 75t-75 181t75 181t181 75t181 -75t75 -181zM768 1184q-148 0 -273 -73t-198 -198t-73 -273t73 -273t198 -198t273 -73t273 73t198 198t73 273t-73 273t-198 198t-273 73zM1536 640q0 -209 -103 -385.5t-279.5 -279.5 t-385.5 -103t-385.5 103t-279.5 279.5t-103 385.5t103 385.5t279.5 279.5t385.5 103t385.5 -103t279.5 -279.5t103 -385.5z" />
<glyph unicode="&#xf193;" horiz-adv-x="1664" d="M1023 349l102 -204q-58 -179 -210 -290t-339 -111q-156 0 -288.5 77.5t-210 210t-77.5 288.5q0 181 104.5 330t274.5 211l17 -131q-122 -54 -195 -165.5t-73 -244.5q0 -185 131.5 -316.5t316.5 -131.5q126 0 232.5 65t165 175.5t49.5 236.5zM1571 249l58 -114l-256 -128 q-13 -7 -29 -7q-40 0 -57 35l-239 477h-472q-24 0 -42.5 16.5t-21.5 40.5l-96 779q-2 16 6 42q14 51 57 82.5t97 31.5q66 0 113 -47t47 -113q0 -69 -52 -117.5t-120 -41.5l37 -289h423v-128h-407l16 -128h455q40 0 57 -35l228 -455z" />
<glyph unicode="&#xf194;" d="M1254 899q16 85 -21 132q-52 65 -187 45q-17 -3 -41 -12.5t-57.5 -30.5t-64.5 -48.5t-59.5 -70t-44.5 -91.5q80 7 113.5 -16t26.5 -99q-5 -52 -52 -143q-43 -78 -71 -99q-44 -32 -87 14q-23 24 -37.5 64.5t-19 73t-10 84t-8.5 71.5q-23 129 -34 164q-12 37 -35.5 69 t-50.5 40q-57 16 -127 -25q-54 -32 -136.5 -106t-122.5 -102v-7q16 -8 25.5 -26t21.5 -20q21 -3 54.5 8.5t58 10.5t41.5 -30q11 -18 18.5 -38.5t15 -48t12.5 -40.5q17 -46 53 -187q36 -146 57 -197q42 -99 103 -125q43 -12 85 -1.5t76 31.5q131 77 250 237 q104 139 172.5 292.5t82.5 226.5zM1536 1120v-960q0 -119 -84.5 -203.5t-203.5 -84.5h-960q-119 0 -203.5 84.5t-84.5 203.5v960q0 119 84.5 203.5t203.5 84.5h960q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf195;" horiz-adv-x="1152" d="M1152 704q0 -191 -94.5 -353t-256.5 -256.5t-353 -94.5h-160q-14 0 -23 9t-9 23v611l-215 -66q-3 -1 -9 -1q-10 0 -19 6q-13 10 -13 26v128q0 23 23 31l233 71v93l-215 -66q-3 -1 -9 -1q-10 0 -19 6q-13 10 -13 26v128q0 23 23 31l233 71v250q0 14 9 23t23 9h160 q14 0 23 -9t9 -23v-181l375 116q15 5 28 -5t13 -26v-128q0 -23 -23 -31l-393 -121v-93l375 116q15 5 28 -5t13 -26v-128q0 -23 -23 -31l-393 -121v-487q188 13 318 151t130 328q0 14 9 23t23 9h160q14 0 23 -9t9 -23z" />
<glyph unicode="&#xf196;" horiz-adv-x="1408" d="M1152 736v-64q0 -14 -9 -23t-23 -9h-352v-352q0 -14 -9 -23t-23 -9h-64q-14 0 -23 9t-9 23v352h-352q-14 0 -23 9t-9 23v64q0 14 9 23t23 9h352v352q0 14 9 23t23 9h64q14 0 23 -9t9 -23v-352h352q14 0 23 -9t9 -23zM1280 288v832q0 66 -47 113t-113 47h-832 q-66 0 -113 -47t-47 -113v-832q0 -66 47 -113t113 -47h832q66 0 113 47t47 113zM1408 1120v-832q0 -119 -84.5 -203.5t-203.5 -84.5h-832q-119 0 -203.5 84.5t-84.5 203.5v832q0 119 84.5 203.5t203.5 84.5h832q119 0 203.5 -84.5t84.5 -203.5z" />
<glyph unicode="&#xf197;" horiz-adv-x="1792" />
<glyph unicode="&#xf198;" horiz-adv-x="1792" />
<glyph unicode="&#xf199;" horiz-adv-x="1792" />
<glyph unicode="&#xf19a;" horiz-adv-x="1792" />
<glyph unicode="&#xf19b;" horiz-adv-x="1792" />
<glyph unicode="&#xf19c;" horiz-adv-x="1792" />
<glyph unicode="&#xf19d;" horiz-adv-x="1792" />
<glyph unicode="&#xf19e;" horiz-adv-x="1792" />
<glyph unicode="&#xf500;" horiz-adv-x="1792" />
</font>
</defs></svg>
Side by Side

After

Width:  |  Height:  |  Size: 197 KiB

_static/fonts/fontawesome-webfont.ttf
BIN
View File
Binary file not shown.
_static/fonts/fontawesome-webfont.woff
BIN
View File
Binary file not shown.
_static/jquery-1.11.1.js
Vendored
+10308
View File
File diff suppressed because it is too large Load Diff
_static/jquery.js
Vendored
+4
View File
File diff suppressed because one or more lines are too long
_static/js/modernizr.min.js
Vendored
+4
View File
File diff suppressed because one or more lines are too long
_static/js/theme.js
+113
View File
@@ -0,0 +1,113 @@
function toggleCurrent (elem) {
var parent_li = elem.closest('li');
parent_li.siblings('li.current').removeClass('current');
parent_li.siblings().find('li.current').removeClass('current');
parent_li.find('> ul li.current').removeClass('current');
parent_li.toggleClass('current');
}
$(document).ready(function() {
// Shift nav in mobile when clicking the menu.
$(document).on('click', "[data-toggle='wy-nav-top']", function() {
$("[data-toggle='wy-nav-shift']").toggleClass("shift");
$("[data-toggle='rst-versions']").toggleClass("shift");
});
// Nav menu link click operations
$(document).on('click', ".wy-menu-vertical .current ul li a", function() {
var target = $(this);
// Close menu when you click a link.
$("[data-toggle='wy-nav-shift']").removeClass("shift");
$("[data-toggle='rst-versions']").toggleClass("shift");
// Handle dynamic display of l3 and l4 nav lists
toggleCurrent(target);
if (typeof(window.SphinxRtdTheme) != 'undefined') {
window.SphinxRtdTheme.StickyNav.hashChange();
}
});
$(document).on('click', "[data-toggle='rst-current-version']", function() {
$("[data-toggle='rst-versions']").toggleClass("shift-up");
});
// Make tables responsive
$("table.docutils:not(.field-list)").wrap("<div class='wy-table-responsive'></div>");
// Add expand links to all parents of nested ul
$('.wy-menu-vertical ul').siblings('a').each(function () {
var link = $(this);
expand = $('<span class="toctree-expand"></span>');
expand.on('click', function (ev) {
toggleCurrent(link);
ev.stopPropagation();
return false;
});
link.prepend(expand);
});
});
// Sphinx theme state
window.SphinxRtdTheme = (function (jquery) {
var stickyNav = (function () {
var navBar,
win,
winScroll = false,
linkScroll = false,
winPosition = 0,
enable = function () {
init();
reset();
win.on('hashchange', reset);
// Set scrolling
win.on('scroll', function () {
if (!linkScroll) {
winScroll = true;
}
});
setInterval(function () {
if (winScroll) {
winScroll = false;
var newWinPosition = win.scrollTop(),
navPosition = navBar.scrollTop(),
newNavPosition = navPosition + (newWinPosition - winPosition);
navBar.scrollTop(newNavPosition);
winPosition = newWinPosition;
}
}, 25);
},
init = function () {
navBar = jquery('nav.wy-nav-side:first');
win = jquery(window);
},
reset = function () {
// Get anchor from URL and open up nested nav
var anchor = encodeURI(window.location.hash);
if (anchor) {
try {
var link = $('.wy-menu-vertical')
.find('[href="' + anchor + '"]');
$('.wy-menu-vertical li.toctree-l1 li.current')
.removeClass('current');
link.closest('li.toctree-l2').addClass('current');
link.closest('li.toctree-l3').addClass('current');
link.closest('li.toctree-l4').addClass('current');
}
catch (err) {
console.log("Error expanding nav for anchor", err);
}
}
},
hashChange = function () {
linkScroll = true;
win.one('hashchange', function () {
linkScroll = false;
});
};
jquery(init);
return {
enable: enable,
hashChange: hashChange
};
}());
return {
StickyNav: stickyNav
};
}($));
_static/minus.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 173 B

_static/plus.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 173 B

_static/pygments.css
+2
View File
@@ -0,0 +1,2 @@
.highlight .hll { background-color: #ffffcc }
.highlight { background: #ffffff; }
_static/searchtools.js
+651
View File
@@ -0,0 +1,651 @@
/*
* searchtools.js_t
* ~~~~~~~~~~~~~~~~
*
* Sphinx JavaScript utilties for the full-text search.
*
* :copyright: Copyright 2007-2015 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
/* Non-minified version JS is _stemmer.js if file is provided */
/**
* Porter Stemmer
*/
var Stemmer = function() {
var step2list = {
ational: 'ate',
tional: 'tion',
enci: 'ence',
anci: 'ance',
izer: 'ize',
bli: 'ble',
alli: 'al',
entli: 'ent',
eli: 'e',
ousli: 'ous',
ization: 'ize',
ation: 'ate',
ator: 'ate',
alism: 'al',
iveness: 'ive',
fulness: 'ful',
ousness: 'ous',
aliti: 'al',
iviti: 'ive',
biliti: 'ble',
logi: 'log'
};
var step3list = {
icate: 'ic',
ative: '',
alize: 'al',
iciti: 'ic',
ical: 'ic',
ful: '',
ness: ''
};
var c = "[^aeiou]"; // consonant
var v = "[aeiouy]"; // vowel
var C = c + "[^aeiouy]*"; // consonant sequence
var V = v + "[aeiou]*"; // vowel sequence
var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
var s_v = "^(" + C + ")?" + v; // vowel in stem
this.stemWord = function (w) {
var stem;
var suffix;
var firstch;
var origword = w;
if (w.length < 3)
return w;
var re;
var re2;
var re3;
var re4;
firstch = w.substr(0,1);
if (firstch == "y")
w = firstch.toUpperCase() + w.substr(1);
// Step 1a
re = /^(.+?)(ss|i)es$/;
re2 = /^(.+?)([^s])s$/;
if (re.test(w))
w = w.replace(re,"$1$2");
else if (re2.test(w))
w = w.replace(re2,"$1$2");
// Step 1b
re = /^(.+?)eed$/;
re2 = /^(.+?)(ed|ing)$/;
if (re.test(w)) {
var fp = re.exec(w);
re = new RegExp(mgr0);
if (re.test(fp[1])) {
re = /.$/;
w = w.replace(re,"");
}
}
else if (re2.test(w)) {
var fp = re2.exec(w);
stem = fp[1];
re2 = new RegExp(s_v);
if (re2.test(stem)) {
w = stem;
re2 = /(at|bl|iz)$/;
re3 = new RegExp("([^aeiouylsz])\\1$");
re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
if (re2.test(w))
w = w + "e";
else if (re3.test(w)) {
re = /.$/;
w = w.replace(re,"");
}
else if (re4.test(w))
w = w + "e";
}
}
// Step 1c
re = /^(.+?)y$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(s_v);
if (re.test(stem))
w = stem + "i";
}
// Step 2
re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
suffix = fp[2];
re = new RegExp(mgr0);
if (re.test(stem))
w = stem + step2list[suffix];
}
// Step 3
re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
suffix = fp[2];
re = new RegExp(mgr0);
if (re.test(stem))
w = stem + step3list[suffix];
}
// Step 4
re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
re2 = /^(.+?)(s|t)(ion)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(mgr1);
if (re.test(stem))
w = stem;
}
else if (re2.test(w)) {
var fp = re2.exec(w);
stem = fp[1] + fp[2];
re2 = new RegExp(mgr1);
if (re2.test(stem))
w = stem;
}
// Step 5
re = /^(.+?)e$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(mgr1);
re2 = new RegExp(meq1);
re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
w = stem;
}
re = /ll$/;
re2 = new RegExp(mgr1);
if (re.test(w) && re2.test(w)) {
re = /.$/;
w = w.replace(re,"");
}
// and turn initial Y back to y
if (firstch == "y")
w = firstch.toLowerCase() + w.substr(1);
return w;
}
}
/**
* Simple result scoring code.
*/
var Scorer = {
// Implement the following function to further tweak the score for each result
// The function takes a result array [filename, title, anchor, descr, score]
// and returns the new score.
/*
score: function(result) {
return result[4];
},
*/
// query matches the full name of an object
objNameMatch: 11,
// or matches in the last dotted part of the object name
objPartialMatch: 6,
// Additive scores depending on the priority of the object
objPrio: {0: 15, // used to be importantResults
1: 5, // used to be objectResults
2: -5}, // used to be unimportantResults
// Used when the priority is not in the mapping.
objPrioDefault: 0,
// query found in title
title: 15,
// query found in terms
term: 5
};
/**
* Search Module
*/
var Search = {
_index : null,
_queued_query : null,
_pulse_status : -1,
init : function() {
var params = $.getQueryParameters();
if (params.q) {
var query = params.q[0];
$('input[name="q"]')[0].value = query;
this.performSearch(query);
}
},
loadIndex : function(url) {
$.ajax({type: "GET", url: url, data: null,
dataType: "script", cache: true,
complete: function(jqxhr, textstatus) {
if (textstatus != "success") {
document.getElementById("searchindexloader").src = url;
}
}});
},
setIndex : function(index) {
var q;
this._index = index;
if ((q = this._queued_query) !== null) {
this._queued_query = null;
Search.query(q);
}
},
hasIndex : function() {
return this._index !== null;
},
deferQuery : function(query) {
this._queued_query = query;
},
stopPulse : function() {
this._pulse_status = 0;
},
startPulse : function() {
if (this._pulse_status >= 0)
return;
function pulse() {
var i;
Search._pulse_status = (Search._pulse_status + 1) % 4;
var dotString = '';
for (i = 0; i < Search._pulse_status; i++)
dotString += '.';
Search.dots.text(dotString);
if (Search._pulse_status > -1)
window.setTimeout(pulse, 500);
}
pulse();
},
/**
* perform a search for something (or wait until index is loaded)
*/
performSearch : function(query) {
// create the required interface elements
this.out = $('#search-results');
this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
this.dots = $('<span></span>').appendTo(this.title);
this.status = $('<p style="display: none"></p>').appendTo(this.out);
this.output = $('<ul class="search"/>').appendTo(this.out);
$('#search-progress').text(_('Preparing search...'));
this.startPulse();
// index already loaded, the browser was quick!
if (this.hasIndex())
this.query(query);
else
this.deferQuery(query);
},
/**
* execute search (requires search index to be loaded)
*/
query : function(query) {
var i;
var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
// stem the searchterms and add them to the correct list
var stemmer = new Stemmer();
var searchterms = [];
var excluded = [];
var hlterms = [];
var tmp = query.split(/\s+/);
var objectterms = [];
for (i = 0; i < tmp.length; i++) {
if (tmp[i] !== "") {
objectterms.push(tmp[i].toLowerCase());
}
if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i].match(/^\d+$/) ||
tmp[i] === "") {
// skip this "word"
continue;
}
// stem the word
var word = stemmer.stemWord(tmp[i].toLowerCase());
var toAppend;
// select the correct list
if (word[0] == '-') {
toAppend = excluded;
word = word.substr(1);
}
else {
toAppend = searchterms;
hlterms.push(tmp[i].toLowerCase());
}
// only add if not already in the list
if (!$u.contains(toAppend, word))
toAppend.push(word);
}
var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
// console.debug('SEARCH: searching for:');
// console.info('required: ', searchterms);
// console.info('excluded: ', excluded);
// prepare search
var terms = this._index.terms;
var titleterms = this._index.titleterms;
// array of [filename, title, anchor, descr, score]
var results = [];
$('#search-progress').empty();
// lookup as object
for (i = 0; i < objectterms.length; i++) {
var others = [].concat(objectterms.slice(0, i),
objectterms.slice(i+1, objectterms.length));
results = results.concat(this.performObjectSearch(objectterms[i], others));
}
// lookup as search terms in fulltext
results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
// let the scorer override scores with a custom scoring function
if (Scorer.score) {
for (i = 0; i < results.length; i++)
results[i][4] = Scorer.score(results[i]);
}
// now sort the results by score (in opposite order of appearance, since the
// display function below uses pop() to retrieve items) and then
// alphabetically
results.sort(function(a, b) {
var left = a[4];
var right = b[4];
if (left > right) {
return 1;
} else if (left < right) {
return -1;
} else {
// same score: sort alphabetically
left = a[1].toLowerCase();
right = b[1].toLowerCase();
return (left > right) ? -1 : ((left < right) ? 1 : 0);
}
});
// for debugging
//Search.lastresults = results.slice(); // a copy
//console.info('search results:', Search.lastresults);
// print the results
var resultCount = results.length;
function displayNextItem() {
// results left, load the summary and display it
if (results.length) {
var item = results.pop();
var listItem = $('<li style="display:none"></li>');
if (DOCUMENTATION_OPTIONS.FILE_SUFFIX === '') {
// dirhtml builder
var dirname = item[0] + '/';
if (dirname.match(/\/index\/$/)) {
dirname = dirname.substring(0, dirname.length-6);
} else if (dirname == 'index/') {
dirname = '';
}
listItem.append($('<a/>').attr('href',
DOCUMENTATION_OPTIONS.URL_ROOT + dirname +
highlightstring + item[2]).html(item[1]));
} else {
// normal html builders
listItem.append($('<a/>').attr('href',
item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX +
highlightstring + item[2]).html(item[1]));
}
if (item[3]) {
listItem.append($('<span> (' + item[3] + ')</span>'));
Search.output.append(listItem);
listItem.slideDown(5, function() {
displayNextItem();
});
} else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
$.ajax({url: DOCUMENTATION_OPTIONS.URL_ROOT + '_sources/' + item[0] + '.txt',
dataType: "text",
complete: function(jqxhr, textstatus) {
var data = jqxhr.responseText;
if (data !== '' && data !== undefined) {
listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
}
Search.output.append(listItem);
listItem.slideDown(5, function() {
displayNextItem();
});
}});
} else {
// no source available, just display title
Search.output.append(listItem);
listItem.slideDown(5, function() {
displayNextItem();
});
}
}
// search finished, update title and status message
else {
Search.stopPulse();
Search.title.text(_('Search Results'));
if (!resultCount)
Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
else
Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
Search.status.fadeIn(500);
}
}
displayNextItem();
},
/**
* search for object names
*/
performObjectSearch : function(object, otherterms) {
var filenames = this._index.filenames;
var objects = this._index.objects;
var objnames = this._index.objnames;
var titles = this._index.titles;
var i;
var results = [];
for (var prefix in objects) {
for (var name in objects[prefix]) {
var fullname = (prefix ? prefix + '.' : '') + name;
if (fullname.toLowerCase().indexOf(object) > -1) {
var score = 0;
var parts = fullname.split('.');
// check for different match types: exact matches of full name or
// "last name" (i.e. last dotted part)
if (fullname == object || parts[parts.length - 1] == object) {
score += Scorer.objNameMatch;
// matches in last name
} else if (parts[parts.length - 1].indexOf(object) > -1) {
score += Scorer.objPartialMatch;
}
var match = objects[prefix][name];
var objname = objnames[match[1]][2];
var title = titles[match[0]];
// If more than one term searched for, we require other words to be
// found in the name/title/description
if (otherterms.length > 0) {
var haystack = (prefix + ' ' + name + ' ' +
objname + ' ' + title).toLowerCase();
var allfound = true;
for (i = 0; i < otherterms.length; i++) {
if (haystack.indexOf(otherterms[i]) == -1) {
allfound = false;
break;
}
}
if (!allfound) {
continue;
}
}
var descr = objname + _(', in ') + title;
var anchor = match[3];
if (anchor === '')
anchor = fullname;
else if (anchor == '-')
anchor = objnames[match[1]][1] + '-' + fullname;
// add custom score for some objects according to scorer
if (Scorer.objPrio.hasOwnProperty(match[2])) {
score += Scorer.objPrio[match[2]];
} else {
score += Scorer.objPrioDefault;
}
results.push([filenames[match[0]], fullname, '#'+anchor, descr, score]);
}
}
}
return results;
},
/**
* search for full-text terms in the index
*/
performTermsSearch : function(searchterms, excluded, terms, titleterms) {
var filenames = this._index.filenames;
var titles = this._index.titles;
var i, j, file;
var fileMap = {};
var scoreMap = {};
var results = [];
// perform the search on the required terms
for (i = 0; i < searchterms.length; i++) {
var word = searchterms[i];
var files = [];
var _o = [
{files: terms[word], score: Scorer.term},
{files: titleterms[word], score: Scorer.title}
];
// no match but word was a required one
if ($u.every(_o, function(o){return o.files === undefined;})) {
break;
}
// found search word in contents
$u.each(_o, function(o) {
var _files = o.files;
if (_files === undefined)
return
if (_files.length === undefined)
_files = [_files];
files = files.concat(_files);
// set score for the word in each file to Scorer.term
for (j = 0; j < _files.length; j++) {
file = _files[j];
if (!(file in scoreMap))
scoreMap[file] = {}
scoreMap[file][word] = o.score;
}
});
// create the mapping
for (j = 0; j < files.length; j++) {
file = files[j];
if (file in fileMap)
fileMap[file].push(word);
else
fileMap[file] = [word];
}
}
// now check if the files don't contain excluded terms
for (file in fileMap) {
var valid = true;
// check if all requirements are matched
if (fileMap[file].length != searchterms.length)
continue;
// ensure that none of the excluded terms is in the search result
for (i = 0; i < excluded.length; i++) {
if (terms[excluded[i]] == file ||
titleterms[excluded[i]] == file ||
$u.contains(terms[excluded[i]] || [], file) ||
$u.contains(titleterms[excluded[i]] || [], file)) {
valid = false;
break;
}
}
// if we have still a valid result we can add it to the result list
if (valid) {
// select one (max) score for the file.
// for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
results.push([filenames[file], titles[file], '', null, score]);
}
}
return results;
},
/**
* helper function to return a node containing the
* search summary for a given text. keywords is a list
* of stemmed words, hlwords is the list of normal, unstemmed
* words. the first one is used to find the occurance, the
* latter for highlighting it.
*/
makeSearchSummary : function(text, keywords, hlwords) {
var textLower = text.toLowerCase();
var start = 0;
$.each(keywords, function() {
var i = textLower.indexOf(this.toLowerCase());
if (i > -1)
start = i;
});
start = Math.max(start - 120, 0);
var excerpt = ((start > 0) ? '...' : '') +
$.trim(text.substr(start, 240)) +
((start + 240 - text.length) ? '...' : '');
var rv = $('<div class="context"></div>').text(excerpt);
$.each(hlwords, function() {
rv = rv.highlightText(this, 'highlighted');
});
return rv;
}
};
$(document).ready(function() {
Search.init();
});
_static/underscore-1.3.1.js
+999
View File
@@ -0,0 +1,999 @@
// Underscore.js 1.3.1
// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
// Underscore is freely distributable under the MIT license.
// Portions of Underscore are inspired or borrowed from Prototype,
// Oliver Steele's Functional, and John Resig's Micro-Templating.
// For all details and documentation:
// http://documentcloud.github.com/underscore
(function() {
// Baseline setup
// --------------
// Establish the root object, `window` in the browser, or `global` on the server.
var root = this;
// Save the previous value of the `_` variable.
var previousUnderscore = root._;
// Establish the object that gets returned to break out of a loop iteration.
var breaker = {};
// Save bytes in the minified (but not gzipped) version:
var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype;
// Create quick reference variables for speed access to core prototypes.
var slice = ArrayProto.slice,
unshift = ArrayProto.unshift,
toString = ObjProto.toString,
hasOwnProperty = ObjProto.hasOwnProperty;
// All **ECMAScript 5** native function implementations that we hope to use
// are declared here.
var
nativeForEach = ArrayProto.forEach,
nativeMap = ArrayProto.map,
nativeReduce = ArrayProto.reduce,
nativeReduceRight = ArrayProto.reduceRight,
nativeFilter = ArrayProto.filter,
nativeEvery = ArrayProto.every,
nativeSome = ArrayProto.some,
nativeIndexOf = ArrayProto.indexOf,
nativeLastIndexOf = ArrayProto.lastIndexOf,
nativeIsArray = Array.isArray,
nativeKeys = Object.keys,
nativeBind = FuncProto.bind;
// Create a safe reference to the Underscore object for use below.
var _ = function(obj) { return new wrapper(obj); };
// Export the Underscore object for **Node.js**, with
// backwards-compatibility for the old `require()` API. If we're in
// the browser, add `_` as a global object via a string identifier,
// for Closure Compiler "advanced" mode.
if (typeof exports !== 'undefined') {
if (typeof module !== 'undefined' && module.exports) {
exports = module.exports = _;
}
exports._ = _;
} else {
root['_'] = _;
}
// Current version.
_.VERSION = '1.3.1';
// Collection Functions
// --------------------
// The cornerstone, an `each` implementation, aka `forEach`.
// Handles objects with the built-in `forEach`, arrays, and raw objects.
// Delegates to **ECMAScript 5**'s native `forEach` if available.
var each = _.each = _.forEach = function(obj, iterator, context) {
if (obj == null) return;
if (nativeForEach && obj.forEach === nativeForEach) {
obj.forEach(iterator, context);
} else if (obj.length === +obj.length) {
for (var i = 0, l = obj.length; i < l; i++) {
if (i in obj && iterator.call(context, obj[i], i, obj) === breaker) return;
}
} else {
for (var key in obj) {
if (_.has(obj, key)) {
if (iterator.call(context, obj[key], key, obj) === breaker) return;
}
}
}
};
// Return the results of applying the iterator to each element.
// Delegates to **ECMAScript 5**'s native `map` if available.
_.map = _.collect = function(obj, iterator, context) {
var results = [];
if (obj == null) return results;
if (nativeMap && obj.map === nativeMap) return obj.map(iterator, context);
each(obj, function(value, index, list) {
results[results.length] = iterator.call(context, value, index, list);
});
if (obj.length === +obj.length) results.length = obj.length;
return results;
};
// **Reduce** builds up a single result from a list of values, aka `inject`,
// or `foldl`. Delegates to **ECMAScript 5**'s native `reduce` if available.
_.reduce = _.foldl = _.inject = function(obj, iterator, memo, context) {
var initial = arguments.length > 2;
if (obj == null) obj = [];
if (nativeReduce && obj.reduce === nativeReduce) {
if (context) iterator = _.bind(iterator, context);
return initial ? obj.reduce(iterator, memo) : obj.reduce(iterator);
}
each(obj, function(value, index, list) {
if (!initial) {
memo = value;
initial = true;
} else {
memo = iterator.call(context, memo, value, index, list);
}
});
if (!initial) throw new TypeError('Reduce of empty array with no initial value');
return memo;
};
// The right-associative version of reduce, also known as `foldr`.
// Delegates to **ECMAScript 5**'s native `reduceRight` if available.
_.reduceRight = _.foldr = function(obj, iterator, memo, context) {
var initial = arguments.length > 2;
if (obj == null) obj = [];
if (nativeReduceRight && obj.reduceRight === nativeReduceRight) {
if (context) iterator = _.bind(iterator, context);
return initial ? obj.reduceRight(iterator, memo) : obj.reduceRight(iterator);
}
var reversed = _.toArray(obj).reverse();
if (context && !initial) iterator = _.bind(iterator, context);
return initial ? _.reduce(reversed, iterator, memo, context) : _.reduce(reversed, iterator);
};
// Return the first value which passes a truth test. Aliased as `detect`.
_.find = _.detect = function(obj, iterator, context) {
var result;
any(obj, function(value, index, list) {
if (iterator.call(context, value, index, list)) {
result = value;
return true;
}
});
return result;
};
// Return all the elements that pass a truth test.
// Delegates to **ECMAScript 5**'s native `filter` if available.
// Aliased as `select`.
_.filter = _.select = function(obj, iterator, context) {
var results = [];
if (obj == null) return results;
if (nativeFilter && obj.filter === nativeFilter) return obj.filter(iterator, context);
each(obj, function(value, index, list) {
if (iterator.call(context, value, index, list)) results[results.length] = value;
});
return results;
};
// Return all the elements for which a truth test fails.
_.reject = function(obj, iterator, context) {
var results = [];
if (obj == null) return results;
each(obj, function(value, index, list) {
if (!iterator.call(context, value, index, list)) results[results.length] = value;
});
return results;
};
// Determine whether all of the elements match a truth test.
// Delegates to **ECMAScript 5**'s native `every` if available.
// Aliased as `all`.
_.every = _.all = function(obj, iterator, context) {
var result = true;
if (obj == null) return result;
if (nativeEvery && obj.every === nativeEvery) return obj.every(iterator, context);
each(obj, function(value, index, list) {
if (!(result = result && iterator.call(context, value, index, list))) return breaker;
});
return result;
};
// Determine if at least one element in the object matches a truth test.
// Delegates to **ECMAScript 5**'s native `some` if available.
// Aliased as `any`.
var any = _.some = _.any = function(obj, iterator, context) {
iterator || (iterator = _.identity);
var result = false;
if (obj == null) return result;
if (nativeSome && obj.some === nativeSome) return obj.some(iterator, context);
each(obj, function(value, index, list) {
if (result || (result = iterator.call(context, value, index, list))) return breaker;
});
return !!result;
};
// Determine if a given value is included in the array or object using `===`.
// Aliased as `contains`.
_.include = _.contains = function(obj, target) {
var found = false;
if (obj == null) return found;
if (nativeIndexOf && obj.indexOf === nativeIndexOf) return obj.indexOf(target) != -1;
found = any(obj, function(value) {
return value === target;
});
return found;
};
// Invoke a method (with arguments) on every item in a collection.
_.invoke = function(obj, method) {
var args = slice.call(arguments, 2);
return _.map(obj, function(value) {
return (_.isFunction(method) ? method || value : value[method]).apply(value, args);
});
};
// Convenience version of a common use case of `map`: fetching a property.
_.pluck = function(obj, key) {
return _.map(obj, function(value){ return value[key]; });
};
// Return the maximum element or (element-based computation).
_.max = function(obj, iterator, context) {
if (!iterator && _.isArray(obj)) return Math.max.apply(Math, obj);
if (!iterator && _.isEmpty(obj)) return -Infinity;
var result = {computed : -Infinity};
each(obj, function(value, index, list) {
var computed = iterator ? iterator.call(context, value, index, list) : value;
computed >= result.computed && (result = {value : value, computed : computed});
});
return result.value;
};
// Return the minimum element (or element-based computation).
_.min = function(obj, iterator, context) {
if (!iterator && _.isArray(obj)) return Math.min.apply(Math, obj);
if (!iterator && _.isEmpty(obj)) return Infinity;
var result = {computed : Infinity};
each(obj, function(value, index, list) {
var computed = iterator ? iterator.call(context, value, index, list) : value;
computed < result.computed && (result = {value : value, computed : computed});
});
return result.value;
};
// Shuffle an array.
_.shuffle = function(obj) {
var shuffled = [], rand;
each(obj, function(value, index, list) {
if (index == 0) {
shuffled[0] = value;
} else {
rand = Math.floor(Math.random() * (index + 1));
shuffled[index] = shuffled[rand];
shuffled[rand] = value;
}
});
return shuffled;
};
// Sort the object's values by a criterion produced by an iterator.
_.sortBy = function(obj, iterator, context) {
return _.pluck(_.map(obj, function(value, index, list) {
return {
value : value,
criteria : iterator.call(context, value, index, list)
};
}).sort(function(left, right) {
var a = left.criteria, b = right.criteria;
return a < b ? -1 : a > b ? 1 : 0;
}), 'value');
};
// Groups the object's values by a criterion. Pass either a string attribute
// to group by, or a function that returns the criterion.
_.groupBy = function(obj, val) {
var result = {};
var iterator = _.isFunction(val) ? val : function(obj) { return obj[val]; };
each(obj, function(value, index) {
var key = iterator(value, index);
(result[key] || (result[key] = [])).push(value);
});
return result;
};
// Use a comparator function to figure out at what index an object should
// be inserted so as to maintain order. Uses binary search.
_.sortedIndex = function(array, obj, iterator) {
iterator || (iterator = _.identity);
var low = 0, high = array.length;
while (low < high) {
var mid = (low + high) >> 1;
iterator(array[mid]) < iterator(obj) ? low = mid + 1 : high = mid;
}
return low;
};
// Safely convert anything iterable into a real, live array.
_.toArray = function(iterable) {
if (!iterable) return [];
if (iterable.toArray) return iterable.toArray();
if (_.isArray(iterable)) return slice.call(iterable);
if (_.isArguments(iterable)) return slice.call(iterable);
return _.values(iterable);
};
// Return the number of elements in an object.
_.size = function(obj) {
return _.toArray(obj).length;
};
// Array Functions
// ---------------
// Get the first element of an array. Passing **n** will return the first N
// values in the array. Aliased as `head`. The **guard** check allows it to work
// with `_.map`.
_.first = _.head = function(array, n, guard) {
return (n != null) && !guard ? slice.call(array, 0, n) : array[0];
};
// Returns everything but the last entry of the array. Especcialy useful on
// the arguments object. Passing **n** will return all the values in
// the array, excluding the last N. The **guard** check allows it to work with
// `_.map`.
_.initial = function(array, n, guard) {
return slice.call(array, 0, array.length - ((n == null) || guard ? 1 : n));
};
// Get the last element of an array. Passing **n** will return the last N
// values in the array. The **guard** check allows it to work with `_.map`.
_.last = function(array, n, guard) {
if ((n != null) && !guard) {
return slice.call(array, Math.max(array.length - n, 0));
} else {
return array[array.length - 1];
}
};
// Returns everything but the first entry of the array. Aliased as `tail`.
// Especially useful on the arguments object. Passing an **index** will return
// the rest of the values in the array from that index onward. The **guard**
// check allows it to work with `_.map`.
_.rest = _.tail = function(array, index, guard) {
return slice.call(array, (index == null) || guard ? 1 : index);
};
// Trim out all falsy values from an array.
_.compact = function(array) {
return _.filter(array, function(value){ return !!value; });
};
// Return a completely flattened version of an array.
_.flatten = function(array, shallow) {
return _.reduce(array, function(memo, value) {
if (_.isArray(value)) return memo.concat(shallow ? value : _.flatten(value));
memo[memo.length] = value;
return memo;
}, []);
};
// Return a version of the array that does not contain the specified value(s).
_.without = function(array) {
return _.difference(array, slice.call(arguments, 1));
};
// Produce a duplicate-free version of the array. If the array has already
// been sorted, you have the option of using a faster algorithm.
// Aliased as `unique`.
_.uniq = _.unique = function(array, isSorted, iterator) {
var initial = iterator ? _.map(array, iterator) : array;
var result = [];
_.reduce(initial, function(memo, el, i) {
if (0 == i || (isSorted === true ? _.last(memo) != el : !_.include(memo, el))) {
memo[memo.length] = el;
result[result.length] = array[i];
}
return memo;
}, []);
return result;
};
// Produce an array that contains the union: each distinct element from all of
// the passed-in arrays.
_.union = function() {
return _.uniq(_.flatten(arguments, true));
};
// Produce an array that contains every item shared between all the
// passed-in arrays. (Aliased as "intersect" for back-compat.)
_.intersection = _.intersect = function(array) {
var rest = slice.call(arguments, 1);
return _.filter(_.uniq(array), function(item) {
return _.every(rest, function(other) {
return _.indexOf(other, item) >= 0;
});
});
};
// Take the difference between one array and a number of other arrays.
// Only the elements present in just the first array will remain.
_.difference = function(array) {
var rest = _.flatten(slice.call(arguments, 1));
return _.filter(array, function(value){ return !_.include(rest, value); });
};
// Zip together multiple lists into a single array -- elements that share
// an index go together.
_.zip = function() {
var args = slice.call(arguments);
var length = _.max(_.pluck(args, 'length'));
var results = new Array(length);
for (var i = 0; i < length; i++) results[i] = _.pluck(args, "" + i);
return results;
};
// If the browser doesn't supply us with indexOf (I'm looking at you, **MSIE**),
// we need this function. Return the position of the first occurrence of an
// item in an array, or -1 if the item is not included in the array.
// Delegates to **ECMAScript 5**'s native `indexOf` if available.
// If the array is large and already in sort order, pass `true`
// for **isSorted** to use binary search.
_.indexOf = function(array, item, isSorted) {
if (array == null) return -1;
var i, l;
if (isSorted) {
i = _.sortedIndex(array, item);
return array[i] === item ? i : -1;
}
if (nativeIndexOf && array.indexOf === nativeIndexOf) return array.indexOf(item);
for (i = 0, l = array.length; i < l; i++) if (i in array && array[i] === item) return i;
return -1;
};
// Delegates to **ECMAScript 5**'s native `lastIndexOf` if available.
_.lastIndexOf = function(array, item) {
if (array == null) return -1;
if (nativeLastIndexOf && array.lastIndexOf === nativeLastIndexOf) return array.lastIndexOf(item);
var i = array.length;
while (i--) if (i in array && array[i] === item) return i;
return -1;
};
// Generate an integer Array containing an arithmetic progression. A port of
// the native Python `range()` function. See
// [the Python documentation](http://docs.python.org/library/functions.html#range).
_.range = function(start, stop, step) {
if (arguments.length <= 1) {
stop = start || 0;
start = 0;
}
step = arguments[2] || 1;
var len = Math.max(Math.ceil((stop - start) / step), 0);
var idx = 0;
var range = new Array(len);
while(idx < len) {
range[idx++] = start;
start += step;
}
return range;
};
// Function (ahem) Functions
// ------------------
// Reusable constructor function for prototype setting.
var ctor = function(){};
// Create a function bound to a given object (assigning `this`, and arguments,
// optionally). Binding with arguments is also known as `curry`.
// Delegates to **ECMAScript 5**'s native `Function.bind` if available.
// We check for `func.bind` first, to fail fast when `func` is undefined.
_.bind = function bind(func, context) {
var bound, args;
if (func.bind === nativeBind && nativeBind) return nativeBind.apply(func, slice.call(arguments, 1));
if (!_.isFunction(func)) throw new TypeError;
args = slice.call(arguments, 2);
return bound = function() {
if (!(this instanceof bound)) return func.apply(context, args.concat(slice.call(arguments)));
ctor.prototype = func.prototype;
var self = new ctor;
var result = func.apply(self, args.concat(slice.call(arguments)));
if (Object(result) === result) return result;
return self;
};
};
// Bind all of an object's methods to that object. Useful for ensuring that
// all callbacks defined on an object belong to it.
_.bindAll = function(obj) {
var funcs = slice.call(arguments, 1);
if (funcs.length == 0) funcs = _.functions(obj);
each(funcs, function(f) { obj[f] = _.bind(obj[f], obj); });
return obj;
};
// Memoize an expensive function by storing its results.
_.memoize = function(func, hasher) {
var memo = {};
hasher || (hasher = _.identity);
return function() {
var key = hasher.apply(this, arguments);
return _.has(memo, key) ? memo[key] : (memo[key] = func.apply(this, arguments));
};
};
// Delays a function for the given number of milliseconds, and then calls
// it with the arguments supplied.
_.delay = function(func, wait) {
var args = slice.call(arguments, 2);
return setTimeout(function(){ return func.apply(func, args); }, wait);
};
// Defers a function, scheduling it to run after the current call stack has
// cleared.
_.defer = function(func) {
return _.delay.apply(_, [func, 1].concat(slice.call(arguments, 1)));
};
// Returns a function, that, when invoked, will only be triggered at most once
// during a given window of time.
_.throttle = function(func, wait) {
var context, args, timeout, throttling, more;
var whenDone = _.debounce(function(){ more = throttling = false; }, wait);
return function() {
context = this; args = arguments;
var later = function() {
timeout = null;
if (more) func.apply(context, args);
whenDone();
};
if (!timeout) timeout = setTimeout(later, wait);
if (throttling) {
more = true;
} else {
func.apply(context, args);
}
whenDone();
throttling = true;
};
};
// Returns a function, that, as long as it continues to be invoked, will not
// be triggered. The function will be called after it stops being called for
// N milliseconds.
_.debounce = function(func, wait) {
var timeout;
return function() {
var context = this, args = arguments;
var later = function() {
timeout = null;
func.apply(context, args);
};
clearTimeout(timeout);
timeout = setTimeout(later, wait);
};
};
// Returns a function that will be executed at most one time, no matter how
// often you call it. Useful for lazy initialization.
_.once = function(func) {
var ran = false, memo;
return function() {
if (ran) return memo;
ran = true;
return memo = func.apply(this, arguments);
};
};
// Returns the first function passed as an argument to the second,
// allowing you to adjust arguments, run code before and after, and
// conditionally execute the original function.
_.wrap = function(func, wrapper) {
return function() {
var args = [func].concat(slice.call(arguments, 0));
return wrapper.apply(this, args);
};
};
// Returns a function that is the composition of a list of functions, each
// consuming the return value of the function that follows.
_.compose = function() {
var funcs = arguments;
return function() {
var args = arguments;
for (var i = funcs.length - 1; i >= 0; i--) {
args = [funcs[i].apply(this, args)];
}
return args[0];
};
};
// Returns a function that will only be executed after being called N times.
_.after = function(times, func) {
if (times <= 0) return func();
return function() {
if (--times < 1) { return func.apply(this, arguments); }
};
};
// Object Functions
// ----------------
// Retrieve the names of an object's properties.
// Delegates to **ECMAScript 5**'s native `Object.keys`
_.keys = nativeKeys || function(obj) {
if (obj !== Object(obj)) throw new TypeError('Invalid object');
var keys = [];
for (var key in obj) if (_.has(obj, key)) keys[keys.length] = key;
return keys;
};
// Retrieve the values of an object's properties.
_.values = function(obj) {
return _.map(obj, _.identity);
};
// Return a sorted list of the function names available on the object.
// Aliased as `methods`
_.functions = _.methods = function(obj) {
var names = [];
for (var key in obj) {
if (_.isFunction(obj[key])) names.push(key);
}
return names.sort();
};
// Extend a given object with all the properties in passed-in object(s).
_.extend = function(obj) {
each(slice.call(arguments, 1), function(source) {
for (var prop in source) {
obj[prop] = source[prop];
}
});
return obj;
};
// Fill in a given object with default properties.
_.defaults = function(obj) {
each(slice.call(arguments, 1), function(source) {
for (var prop in source) {
if (obj[prop] == null) obj[prop] = source[prop];
}
});
return obj;
};
// Create a (shallow-cloned) duplicate of an object.
_.clone = function(obj) {
if (!_.isObject(obj)) return obj;
return _.isArray(obj) ? obj.slice() : _.extend({}, obj);
};
// Invokes interceptor with the obj, and then returns obj.
// The primary purpose of this method is to "tap into" a method chain, in
// order to perform operations on intermediate results within the chain.
_.tap = function(obj, interceptor) {
interceptor(obj);
return obj;
};
// Internal recursive comparison function.
function eq(a, b, stack) {
// Identical objects are equal. `0 === -0`, but they aren't identical.
// See the Harmony `egal` proposal: http://wiki.ecmascript.org/doku.php?id=harmony:egal.
if (a === b) return a !== 0 || 1 / a == 1 / b;
// A strict comparison is necessary because `null == undefined`.
if (a == null || b == null) return a === b;
// Unwrap any wrapped objects.
if (a._chain) a = a._wrapped;
if (b._chain) b = b._wrapped;
// Invoke a custom `isEqual` method if one is provided.
if (a.isEqual && _.isFunction(a.isEqual)) return a.isEqual(b);
if (b.isEqual && _.isFunction(b.isEqual)) return b.isEqual(a);
// Compare `[[Class]]` names.
var className = toString.call(a);
if (className != toString.call(b)) return false;
switch (className) {
// Strings, numbers, dates, and booleans are compared by value.
case '[object String]':
// Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
// equivalent to `new String("5")`.
return a == String(b);
case '[object Number]':
// `NaN`s are equivalent, but non-reflexive. An `egal` comparison is performed for
// other numeric values.
return a != +a ? b != +b : (a == 0 ? 1 / a == 1 / b : a == +b);
case '[object Date]':
case '[object Boolean]':
// Coerce dates and booleans to numeric primitive values. Dates are compared by their
// millisecond representations. Note that invalid dates with millisecond representations
// of `NaN` are not equivalent.
return +a == +b;
// RegExps are compared by their source patterns and flags.
case '[object RegExp]':
return a.source == b.source &&
a.global == b.global &&
a.multiline == b.multiline &&
a.ignoreCase == b.ignoreCase;
}
if (typeof a != 'object' || typeof b != 'object') return false;
// Assume equality for cyclic structures. The algorithm for detecting cyclic
// structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
var length = stack.length;
while (length--) {
// Linear search. Performance is inversely proportional to the number of
// unique nested structures.
if (stack[length] == a) return true;
}
// Add the first object to the stack of traversed objects.
stack.push(a);
var size = 0, result = true;
// Recursively compare objects and arrays.
if (className == '[object Array]') {
// Compare array lengths to determine if a deep comparison is necessary.
size = a.length;
result = size == b.length;
if (result) {
// Deep compare the contents, ignoring non-numeric properties.
while (size--) {
// Ensure commutative equality for sparse arrays.
if (!(result = size in a == size in b && eq(a[size], b[size], stack))) break;
}
}
} else {
// Objects with different constructors are not equivalent.
if ('constructor' in a != 'constructor' in b || a.constructor != b.constructor) return false;
// Deep compare objects.
for (var key in a) {
if (_.has(a, key)) {
// Count the expected number of properties.
size++;
// Deep compare each member.
if (!(result = _.has(b, key) && eq(a[key], b[key], stack))) break;
}
}
// Ensure that both objects contain the same number of properties.
if (result) {
for (key in b) {
if (_.has(b, key) && !(size--)) break;
}
result = !size;
}
}
// Remove the first object from the stack of traversed objects.
stack.pop();
return result;
}
// Perform a deep comparison to check if two objects are equal.
_.isEqual = function(a, b) {
return eq(a, b, []);
};
// Is a given array, string, or object empty?
// An "empty" object has no enumerable own-properties.
_.isEmpty = function(obj) {
if (_.isArray(obj) || _.isString(obj)) return obj.length === 0;
for (var key in obj) if (_.has(obj, key)) return false;
return true;
};
// Is a given value a DOM element?
_.isElement = function(obj) {
return !!(obj && obj.nodeType == 1);
};
// Is a given value an array?
// Delegates to ECMA5's native Array.isArray
_.isArray = nativeIsArray || function(obj) {
return toString.call(obj) == '[object Array]';
};
// Is a given variable an object?
_.isObject = function(obj) {
return obj === Object(obj);
};
// Is a given variable an arguments object?
_.isArguments = function(obj) {
return toString.call(obj) == '[object Arguments]';
};
if (!_.isArguments(arguments)) {
_.isArguments = function(obj) {
return !!(obj && _.has(obj, 'callee'));
};
}
// Is a given value a function?
_.isFunction = function(obj) {
return toString.call(obj) == '[object Function]';
};
// Is a given value a string?
_.isString = function(obj) {
return toString.call(obj) == '[object String]';
};
// Is a given value a number?
_.isNumber = function(obj) {
return toString.call(obj) == '[object Number]';
};
// Is the given value `NaN`?
_.isNaN = function(obj) {
// `NaN` is the only value for which `===` is not reflexive.
return obj !== obj;
};
// Is a given value a boolean?
_.isBoolean = function(obj) {
return obj === true || obj === false || toString.call(obj) == '[object Boolean]';
};
// Is a given value a date?
_.isDate = function(obj) {
return toString.call(obj) == '[object Date]';
};
// Is the given value a regular expression?
_.isRegExp = function(obj) {
return toString.call(obj) == '[object RegExp]';
};
// Is a given value equal to null?
_.isNull = function(obj) {
return obj === null;
};
// Is a given variable undefined?
_.isUndefined = function(obj) {
return obj === void 0;
};
// Has own property?
_.has = function(obj, key) {
return hasOwnProperty.call(obj, key);
};
// Utility Functions
// -----------------
// Run Underscore.js in *noConflict* mode, returning the `_` variable to its
// previous owner. Returns a reference to the Underscore object.
_.noConflict = function() {
root._ = previousUnderscore;
return this;
};
// Keep the identity function around for default iterators.
_.identity = function(value) {
return value;
};
// Run a function **n** times.
_.times = function (n, iterator, context) {
for (var i = 0; i < n; i++) iterator.call(context, i);
};
// Escape a string for HTML interpolation.
_.escape = function(string) {
return (''+string).replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;').replace(/"/g, '&quot;').replace(/'/g, '&#x27;').replace(/\//g,'&#x2F;');
};
// Add your own custom functions to the Underscore object, ensuring that
// they're correctly added to the OOP wrapper as well.
_.mixin = function(obj) {
each(_.functions(obj), function(name){
addToWrapper(name, _[name] = obj[name]);
});
};
// Generate a unique integer id (unique within the entire client session).
// Useful for temporary DOM ids.
var idCounter = 0;
_.uniqueId = function(prefix) {
var id = idCounter++;
return prefix ? prefix + id : id;
};
// By default, Underscore uses ERB-style template delimiters, change the
// following template settings to use alternative delimiters.
_.templateSettings = {
evaluate : /<%([\s\S]+?)%>/g,
interpolate : /<%=([\s\S]+?)%>/g,
escape : /<%-([\s\S]+?)%>/g
};
// When customizing `templateSettings`, if you don't want to define an
// interpolation, evaluation or escaping regex, we need one that is
// guaranteed not to match.
var noMatch = /.^/;
// Within an interpolation, evaluation, or escaping, remove HTML escaping
// that had been previously added.
var unescape = function(code) {
return code.replace(/\\\\/g, '\\').replace(/\\'/g, "'");
};
// JavaScript micro-templating, similar to John Resig's implementation.
// Underscore templating handles arbitrary delimiters, preserves whitespace,
// and correctly escapes quotes within interpolated code.
_.template = function(str, data) {
var c = _.templateSettings;
var tmpl = 'var __p=[],print=function(){__p.push.apply(__p,arguments);};' +
'with(obj||{}){__p.push(\'' +
str.replace(/\\/g, '\\\\')
.replace(/'/g, "\\'")
.replace(c.escape || noMatch, function(match, code) {
return "',_.escape(" + unescape(code) + "),'";
})
.replace(c.interpolate || noMatch, function(match, code) {
return "'," + unescape(code) + ",'";
})
.replace(c.evaluate || noMatch, function(match, code) {
return "');" + unescape(code).replace(/[\r\n\t]/g, ' ') + ";__p.push('";
})
.replace(/\r/g, '\\r')
.replace(/\n/g, '\\n')
.replace(/\t/g, '\\t')
+ "');}return __p.join('');";
var func = new Function('obj', '_', tmpl);
if (data) return func(data, _);
return function(data) {
return func.call(this, data, _);
};
};
// Add a "chain" function, which will delegate to the wrapper.
_.chain = function(obj) {
return _(obj).chain();
};
// The OOP Wrapper
// ---------------
// If Underscore is called as a function, it returns a wrapped object that
// can be used OO-style. This wrapper holds altered versions of all the
// underscore functions. Wrapped objects may be chained.
var wrapper = function(obj) { this._wrapped = obj; };
// Expose `wrapper.prototype` as `_.prototype`
_.prototype = wrapper.prototype;
// Helper function to continue chaining intermediate results.
var result = function(obj, chain) {
return chain ? _(obj).chain() : obj;
};
// A method to easily add functions to the OOP wrapper.
var addToWrapper = function(name, func) {
wrapper.prototype[name] = function() {
var args = slice.call(arguments);
unshift.call(args, this._wrapped);
return result(func.apply(_, args), this._chain);
};
};
// Add all of the Underscore functions to the wrapper object.
_.mixin(_);
// Add all mutator Array functions to the wrapper.
each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
var method = ArrayProto[name];
wrapper.prototype[name] = function() {
var wrapped = this._wrapped;
method.apply(wrapped, arguments);
var length = wrapped.length;
if ((name == 'shift' || name == 'splice') && length === 0) delete wrapped[0];
return result(wrapped, this._chain);
};
});
// Add all accessor Array functions to the wrapper.
each(['concat', 'join', 'slice'], function(name) {
var method = ArrayProto[name];
wrapper.prototype[name] = function() {
return result(method.apply(this._wrapped, arguments), this._chain);
};
});
// Start chaining a wrapped Underscore object.
wrapper.prototype.chain = function() {
this._chain = true;
return this;
};
// Extracts the result from a wrapped and chained object.
wrapper.prototype.value = function() {
return this._wrapped;
};
}).call(this);
_static/underscore.js
+31
View File
@@ -0,0 +1,31 @@
// Underscore.js 1.3.1
// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
// Underscore is freely distributable under the MIT license.
// Portions of Underscore are inspired or borrowed from Prototype,
// Oliver Steele's Functional, and John Resig's Micro-Templating.
// For all details and documentation:
// http://documentcloud.github.com/underscore
(function(){function q(a,c,d){if(a===c)return a!==0||1/a==1/c;if(a==null||c==null)return a===c;if(a._chain)a=a._wrapped;if(c._chain)c=c._wrapped;if(a.isEqual&&b.isFunction(a.isEqual))return a.isEqual(c);if(c.isEqual&&b.isFunction(c.isEqual))return c.isEqual(a);var e=l.call(a);if(e!=l.call(c))return false;switch(e){case "[object String]":return a==String(c);case "[object Number]":return a!=+a?c!=+c:a==0?1/a==1/c:a==+c;case "[object Date]":case "[object Boolean]":return+a==+c;case "[object RegExp]":return a.source==
c.source&&a.global==c.global&&a.multiline==c.multiline&&a.ignoreCase==c.ignoreCase}if(typeof a!="object"||typeof c!="object")return false;for(var f=d.length;f--;)if(d[f]==a)return true;d.push(a);var f=0,g=true;if(e=="[object Array]"){if(f=a.length,g=f==c.length)for(;f--;)if(!(g=f in a==f in c&&q(a[f],c[f],d)))break}else{if("constructor"in a!="constructor"in c||a.constructor!=c.constructor)return false;for(var h in a)if(b.has(a,h)&&(f++,!(g=b.has(c,h)&&q(a[h],c[h],d))))break;if(g){for(h in c)if(b.has(c,
h)&&!f--)break;g=!f}}d.pop();return g}var r=this,G=r._,n={},k=Array.prototype,o=Object.prototype,i=k.slice,H=k.unshift,l=o.toString,I=o.hasOwnProperty,w=k.forEach,x=k.map,y=k.reduce,z=k.reduceRight,A=k.filter,B=k.every,C=k.some,p=k.indexOf,D=k.lastIndexOf,o=Array.isArray,J=Object.keys,s=Function.prototype.bind,b=function(a){return new m(a)};if(typeof exports!=="undefined"){if(typeof module!=="undefined"&&module.exports)exports=module.exports=b;exports._=b}else r._=b;b.VERSION="1.3.1";var j=b.each=
b.forEach=function(a,c,d){if(a!=null)if(w&&a.forEach===w)a.forEach(c,d);else if(a.length===+a.length)for(var e=0,f=a.length;e<f;e++){if(e in a&&c.call(d,a[e],e,a)===n)break}else for(e in a)if(b.has(a,e)&&c.call(d,a[e],e,a)===n)break};b.map=b.collect=function(a,c,b){var e=[];if(a==null)return e;if(x&&a.map===x)return a.map(c,b);j(a,function(a,g,h){e[e.length]=c.call(b,a,g,h)});if(a.length===+a.length)e.length=a.length;return e};b.reduce=b.foldl=b.inject=function(a,c,d,e){var f=arguments.length>2;a==
null&&(a=[]);if(y&&a.reduce===y)return e&&(c=b.bind(c,e)),f?a.reduce(c,d):a.reduce(c);j(a,function(a,b,i){f?d=c.call(e,d,a,b,i):(d=a,f=true)});if(!f)throw new TypeError("Reduce of empty array with no initial value");return d};b.reduceRight=b.foldr=function(a,c,d,e){var f=arguments.length>2;a==null&&(a=[]);if(z&&a.reduceRight===z)return e&&(c=b.bind(c,e)),f?a.reduceRight(c,d):a.reduceRight(c);var g=b.toArray(a).reverse();e&&!f&&(c=b.bind(c,e));return f?b.reduce(g,c,d,e):b.reduce(g,c)};b.find=b.detect=
function(a,c,b){var e;E(a,function(a,g,h){if(c.call(b,a,g,h))return e=a,true});return e};b.filter=b.select=function(a,c,b){var e=[];if(a==null)return e;if(A&&a.filter===A)return a.filter(c,b);j(a,function(a,g,h){c.call(b,a,g,h)&&(e[e.length]=a)});return e};b.reject=function(a,c,b){var e=[];if(a==null)return e;j(a,function(a,g,h){c.call(b,a,g,h)||(e[e.length]=a)});return e};b.every=b.all=function(a,c,b){var e=true;if(a==null)return e;if(B&&a.every===B)return a.every(c,b);j(a,function(a,g,h){if(!(e=
e&&c.call(b,a,g,h)))return n});return e};var E=b.some=b.any=function(a,c,d){c||(c=b.identity);var e=false;if(a==null)return e;if(C&&a.some===C)return a.some(c,d);j(a,function(a,b,h){if(e||(e=c.call(d,a,b,h)))return n});return!!e};b.include=b.contains=function(a,c){var b=false;if(a==null)return b;return p&&a.indexOf===p?a.indexOf(c)!=-1:b=E(a,function(a){return a===c})};b.invoke=function(a,c){var d=i.call(arguments,2);return b.map(a,function(a){return(b.isFunction(c)?c||a:a[c]).apply(a,d)})};b.pluck=
function(a,c){return b.map(a,function(a){return a[c]})};b.max=function(a,c,d){if(!c&&b.isArray(a))return Math.max.apply(Math,a);if(!c&&b.isEmpty(a))return-Infinity;var e={computed:-Infinity};j(a,function(a,b,h){b=c?c.call(d,a,b,h):a;b>=e.computed&&(e={value:a,computed:b})});return e.value};b.min=function(a,c,d){if(!c&&b.isArray(a))return Math.min.apply(Math,a);if(!c&&b.isEmpty(a))return Infinity;var e={computed:Infinity};j(a,function(a,b,h){b=c?c.call(d,a,b,h):a;b<e.computed&&(e={value:a,computed:b})});
return e.value};b.shuffle=function(a){var b=[],d;j(a,function(a,f){f==0?b[0]=a:(d=Math.floor(Math.random()*(f+1)),b[f]=b[d],b[d]=a)});return b};b.sortBy=function(a,c,d){return b.pluck(b.map(a,function(a,b,g){return{value:a,criteria:c.call(d,a,b,g)}}).sort(function(a,b){var c=a.criteria,d=b.criteria;return c<d?-1:c>d?1:0}),"value")};b.groupBy=function(a,c){var d={},e=b.isFunction(c)?c:function(a){return a[c]};j(a,function(a,b){var c=e(a,b);(d[c]||(d[c]=[])).push(a)});return d};b.sortedIndex=function(a,
c,d){d||(d=b.identity);for(var e=0,f=a.length;e<f;){var g=e+f>>1;d(a[g])<d(c)?e=g+1:f=g}return e};b.toArray=function(a){return!a?[]:a.toArray?a.toArray():b.isArray(a)?i.call(a):b.isArguments(a)?i.call(a):b.values(a)};b.size=function(a){return b.toArray(a).length};b.first=b.head=function(a,b,d){return b!=null&&!d?i.call(a,0,b):a[0]};b.initial=function(a,b,d){return i.call(a,0,a.length-(b==null||d?1:b))};b.last=function(a,b,d){return b!=null&&!d?i.call(a,Math.max(a.length-b,0)):a[a.length-1]};b.rest=
b.tail=function(a,b,d){return i.call(a,b==null||d?1:b)};b.compact=function(a){return b.filter(a,function(a){return!!a})};b.flatten=function(a,c){return b.reduce(a,function(a,e){if(b.isArray(e))return a.concat(c?e:b.flatten(e));a[a.length]=e;return a},[])};b.without=function(a){return b.difference(a,i.call(arguments,1))};b.uniq=b.unique=function(a,c,d){var d=d?b.map(a,d):a,e=[];b.reduce(d,function(d,g,h){if(0==h||(c===true?b.last(d)!=g:!b.include(d,g)))d[d.length]=g,e[e.length]=a[h];return d},[]);
return e};b.union=function(){return b.uniq(b.flatten(arguments,true))};b.intersection=b.intersect=function(a){var c=i.call(arguments,1);return b.filter(b.uniq(a),function(a){return b.every(c,function(c){return b.indexOf(c,a)>=0})})};b.difference=function(a){var c=b.flatten(i.call(arguments,1));return b.filter(a,function(a){return!b.include(c,a)})};b.zip=function(){for(var a=i.call(arguments),c=b.max(b.pluck(a,"length")),d=Array(c),e=0;e<c;e++)d[e]=b.pluck(a,""+e);return d};b.indexOf=function(a,c,
d){if(a==null)return-1;var e;if(d)return d=b.sortedIndex(a,c),a[d]===c?d:-1;if(p&&a.indexOf===p)return a.indexOf(c);for(d=0,e=a.length;d<e;d++)if(d in a&&a[d]===c)return d;return-1};b.lastIndexOf=function(a,b){if(a==null)return-1;if(D&&a.lastIndexOf===D)return a.lastIndexOf(b);for(var d=a.length;d--;)if(d in a&&a[d]===b)return d;return-1};b.range=function(a,b,d){arguments.length<=1&&(b=a||0,a=0);for(var d=arguments[2]||1,e=Math.max(Math.ceil((b-a)/d),0),f=0,g=Array(e);f<e;)g[f++]=a,a+=d;return g};
var F=function(){};b.bind=function(a,c){var d,e;if(a.bind===s&&s)return s.apply(a,i.call(arguments,1));if(!b.isFunction(a))throw new TypeError;e=i.call(arguments,2);return d=function(){if(!(this instanceof d))return a.apply(c,e.concat(i.call(arguments)));F.prototype=a.prototype;var b=new F,g=a.apply(b,e.concat(i.call(arguments)));return Object(g)===g?g:b}};b.bindAll=function(a){var c=i.call(arguments,1);c.length==0&&(c=b.functions(a));j(c,function(c){a[c]=b.bind(a[c],a)});return a};b.memoize=function(a,
c){var d={};c||(c=b.identity);return function(){var e=c.apply(this,arguments);return b.has(d,e)?d[e]:d[e]=a.apply(this,arguments)}};b.delay=function(a,b){var d=i.call(arguments,2);return setTimeout(function(){return a.apply(a,d)},b)};b.defer=function(a){return b.delay.apply(b,[a,1].concat(i.call(arguments,1)))};b.throttle=function(a,c){var d,e,f,g,h,i=b.debounce(function(){h=g=false},c);return function(){d=this;e=arguments;var b;f||(f=setTimeout(function(){f=null;h&&a.apply(d,e);i()},c));g?h=true:
a.apply(d,e);i();g=true}};b.debounce=function(a,b){var d;return function(){var e=this,f=arguments;clearTimeout(d);d=setTimeout(function(){d=null;a.apply(e,f)},b)}};b.once=function(a){var b=false,d;return function(){if(b)return d;b=true;return d=a.apply(this,arguments)}};b.wrap=function(a,b){return function(){var d=[a].concat(i.call(arguments,0));return b.apply(this,d)}};b.compose=function(){var a=arguments;return function(){for(var b=arguments,d=a.length-1;d>=0;d--)b=[a[d].apply(this,b)];return b[0]}};
b.after=function(a,b){return a<=0?b():function(){if(--a<1)return b.apply(this,arguments)}};b.keys=J||function(a){if(a!==Object(a))throw new TypeError("Invalid object");var c=[],d;for(d in a)b.has(a,d)&&(c[c.length]=d);return c};b.values=function(a){return b.map(a,b.identity)};b.functions=b.methods=function(a){var c=[],d;for(d in a)b.isFunction(a[d])&&c.push(d);return c.sort()};b.extend=function(a){j(i.call(arguments,1),function(b){for(var d in b)a[d]=b[d]});return a};b.defaults=function(a){j(i.call(arguments,
1),function(b){for(var d in b)a[d]==null&&(a[d]=b[d])});return a};b.clone=function(a){return!b.isObject(a)?a:b.isArray(a)?a.slice():b.extend({},a)};b.tap=function(a,b){b(a);return a};b.isEqual=function(a,b){return q(a,b,[])};b.isEmpty=function(a){if(b.isArray(a)||b.isString(a))return a.length===0;for(var c in a)if(b.has(a,c))return false;return true};b.isElement=function(a){return!!(a&&a.nodeType==1)};b.isArray=o||function(a){return l.call(a)=="[object Array]"};b.isObject=function(a){return a===Object(a)};
b.isArguments=function(a){return l.call(a)=="[object Arguments]"};if(!b.isArguments(arguments))b.isArguments=function(a){return!(!a||!b.has(a,"callee"))};b.isFunction=function(a){return l.call(a)=="[object Function]"};b.isString=function(a){return l.call(a)=="[object String]"};b.isNumber=function(a){return l.call(a)=="[object Number]"};b.isNaN=function(a){return a!==a};b.isBoolean=function(a){return a===true||a===false||l.call(a)=="[object Boolean]"};b.isDate=function(a){return l.call(a)=="[object Date]"};
b.isRegExp=function(a){return l.call(a)=="[object RegExp]"};b.isNull=function(a){return a===null};b.isUndefined=function(a){return a===void 0};b.has=function(a,b){return I.call(a,b)};b.noConflict=function(){r._=G;return this};b.identity=function(a){return a};b.times=function(a,b,d){for(var e=0;e<a;e++)b.call(d,e)};b.escape=function(a){return(""+a).replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,"&quot;").replace(/'/g,"&#x27;").replace(/\//g,"&#x2F;")};b.mixin=function(a){j(b.functions(a),
function(c){K(c,b[c]=a[c])})};var L=0;b.uniqueId=function(a){var b=L++;return a?a+b:b};b.templateSettings={evaluate:/<%([\s\S]+?)%>/g,interpolate:/<%=([\s\S]+?)%>/g,escape:/<%-([\s\S]+?)%>/g};var t=/.^/,u=function(a){return a.replace(/\\\\/g,"\\").replace(/\\'/g,"'")};b.template=function(a,c){var d=b.templateSettings,d="var __p=[],print=function(){__p.push.apply(__p,arguments);};with(obj||{}){__p.push('"+a.replace(/\\/g,"\\\\").replace(/'/g,"\\'").replace(d.escape||t,function(a,b){return"',_.escape("+
u(b)+"),'"}).replace(d.interpolate||t,function(a,b){return"',"+u(b)+",'"}).replace(d.evaluate||t,function(a,b){return"');"+u(b).replace(/[\r\n\t]/g," ")+";__p.push('"}).replace(/\r/g,"\\r").replace(/\n/g,"\\n").replace(/\t/g,"\\t")+"');}return __p.join('');",e=new Function("obj","_",d);return c?e(c,b):function(a){return e.call(this,a,b)}};b.chain=function(a){return b(a).chain()};var m=function(a){this._wrapped=a};b.prototype=m.prototype;var v=function(a,c){return c?b(a).chain():a},K=function(a,c){m.prototype[a]=
function(){var a=i.call(arguments);H.call(a,this._wrapped);return v(c.apply(b,a),this._chain)}};b.mixin(b);j("pop,push,reverse,shift,sort,splice,unshift".split(","),function(a){var b=k[a];m.prototype[a]=function(){var d=this._wrapped;b.apply(d,arguments);var e=d.length;(a=="shift"||a=="splice")&&e===0&&delete d[0];return v(d,this._chain)}});j(["concat","join","slice"],function(a){var b=k[a];m.prototype[a]=function(){return v(b.apply(this._wrapped,arguments),this._chain)}});m.prototype.chain=function(){this._chain=
true;return this};m.prototype.value=function(){return this._wrapped}}).call(this);
_static/up-pressed.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 345 B

_static/up.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 345 B

_static/websupport.js
+808
View File
@@ -0,0 +1,808 @@
/*
* websupport.js
* ~~~~~~~~~~~~~
*
* sphinx.websupport utilties for all documentation.
*
* :copyright: Copyright 2007-2015 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
(function($) {
$.fn.autogrow = function() {
return this.each(function() {
var textarea = this;
$.fn.autogrow.resize(textarea);
$(textarea)
.focus(function() {
textarea.interval = setInterval(function() {
$.fn.autogrow.resize(textarea);
}, 500);
})
.blur(function() {
clearInterval(textarea.interval);
});
});
};
$.fn.autogrow.resize = function(textarea) {
var lineHeight = parseInt($(textarea).css('line-height'), 10);
var lines = textarea.value.split('\n');
var columns = textarea.cols;
var lineCount = 0;
$.each(lines, function() {
lineCount += Math.ceil(this.length / columns) || 1;
});
var height = lineHeight * (lineCount + 1);
$(textarea).css('height', height);
};
})(jQuery);
(function($) {
var comp, by;
function init() {
initEvents();
initComparator();
}
function initEvents() {
$(document).on("click", 'a.comment-close', function(event) {
event.preventDefault();
hide($(this).attr('id').substring(2));
});
$(document).on("click", 'a.vote', function(event) {
event.preventDefault();
handleVote($(this));
});
$(document).on("click", 'a.reply', function(event) {
event.preventDefault();
openReply($(this).attr('id').substring(2));
});
$(document).on("click", 'a.close-reply', function(event) {
event.preventDefault();
closeReply($(this).attr('id').substring(2));
});
$(document).on("click", 'a.sort-option', function(event) {
event.preventDefault();
handleReSort($(this));
});
$(document).on("click", 'a.show-proposal', function(event) {
event.preventDefault();
showProposal($(this).attr('id').substring(2));
});
$(document).on("click", 'a.hide-proposal', function(event) {
event.preventDefault();
hideProposal($(this).attr('id').substring(2));
});
$(document).on("click", 'a.show-propose-change', function(event) {
event.preventDefault();
showProposeChange($(this).attr('id').substring(2));
});
$(document).on("click", 'a.hide-propose-change', function(event) {
event.preventDefault();
hideProposeChange($(this).attr('id').substring(2));
});
$(document).on("click", 'a.accept-comment', function(event) {
event.preventDefault();
acceptComment($(this).attr('id').substring(2));
});
$(document).on("click", 'a.delete-comment', function(event) {
event.preventDefault();
deleteComment($(this).attr('id').substring(2));
});
$(document).on("click", 'a.comment-markup', function(event) {
event.preventDefault();
toggleCommentMarkupBox($(this).attr('id').substring(2));
});
}
/**
* Set comp, which is a comparator function used for sorting and
* inserting comments into the list.
*/
function setComparator() {
// If the first three letters are "asc", sort in ascending order
// and remove the prefix.
if (by.substring(0,3) == 'asc') {
var i = by.substring(3);
comp = function(a, b) { return a[i] - b[i]; };
} else {
// Otherwise sort in descending order.
comp = function(a, b) { return b[by] - a[by]; };
}
// Reset link styles and format the selected sort option.
$('a.sel').attr('href', '#').removeClass('sel');
$('a.by' + by).removeAttr('href').addClass('sel');
}
/**
* Create a comp function. If the user has preferences stored in
* the sortBy cookie, use those, otherwise use the default.
*/
function initComparator() {
by = 'rating'; // Default to sort by rating.
// If the sortBy cookie is set, use that instead.
if (document.cookie.length > 0) {
var start = document.cookie.indexOf('sortBy=');
if (start != -1) {
start = start + 7;
var end = document.cookie.indexOf(";", start);
if (end == -1) {
end = document.cookie.length;
by = unescape(document.cookie.substring(start, end));
}
}
}
setComparator();
}
/**
* Show a comment div.
*/
function show(id) {
$('#ao' + id).hide();
$('#ah' + id).show();
var context = $.extend({id: id}, opts);
var popup = $(renderTemplate(popupTemplate, context)).hide();
popup.find('textarea[name="proposal"]').hide();
popup.find('a.by' + by).addClass('sel');
var form = popup.find('#cf' + id);
form.submit(function(event) {
event.preventDefault();
addComment(form);
});
$('#s' + id).after(popup);
popup.slideDown('fast', function() {
getComments(id);
});
}
/**
* Hide a comment div.
*/
function hide(id) {
$('#ah' + id).hide();
$('#ao' + id).show();
var div = $('#sc' + id);
div.slideUp('fast', function() {
div.remove();
});
}
/**
* Perform an ajax request to get comments for a node
* and insert the comments into the comments tree.
*/
function getComments(id) {
$.ajax({
type: 'GET',
url: opts.getCommentsURL,
data: {node: id},
success: function(data, textStatus, request) {
var ul = $('#cl' + id);
var speed = 100;
$('#cf' + id)
.find('textarea[name="proposal"]')
.data('source', data.source);
if (data.comments.length === 0) {
ul.html('<li>No comments yet.</li>');
ul.data('empty', true);
} else {
// If there are comments, sort them and put them in the list.
var comments = sortComments(data.comments);
speed = data.comments.length * 100;
appendComments(comments, ul);
ul.data('empty', false);
}
$('#cn' + id).slideUp(speed + 200);
ul.slideDown(speed);
},
error: function(request, textStatus, error) {
showError('Oops, there was a problem retrieving the comments.');
},
dataType: 'json'
});
}
/**
* Add a comment via ajax and insert the comment into the comment tree.
*/
function addComment(form) {
var node_id = form.find('input[name="node"]').val();
var parent_id = form.find('input[name="parent"]').val();
var text = form.find('textarea[name="comment"]').val();
var proposal = form.find('textarea[name="proposal"]').val();
if (text == '') {
showError('Please enter a comment.');
return;
}
// Disable the form that is being submitted.
form.find('textarea,input').attr('disabled', 'disabled');
// Send the comment to the server.
$.ajax({
type: "POST",
url: opts.addCommentURL,
dataType: 'json',
data: {
node: node_id,
parent: parent_id,
text: text,
proposal: proposal
},
success: function(data, textStatus, error) {
// Reset the form.
if (node_id) {
hideProposeChange(node_id);
}
form.find('textarea')
.val('')
.add(form.find('input'))
.removeAttr('disabled');
var ul = $('#cl' + (node_id || parent_id));
if (ul.data('empty')) {
$(ul).empty();
ul.data('empty', false);
}
insertComment(data.comment);
var ao = $('#ao' + node_id);
ao.find('img').attr({'src': opts.commentBrightImage});
if (node_id) {
// if this was a "root" comment, remove the commenting box
// (the user can get it back by reopening the comment popup)
$('#ca' + node_id).slideUp();
}
},
error: function(request, textStatus, error) {
form.find('textarea,input').removeAttr('disabled');
showError('Oops, there was a problem adding the comment.');
}
});
}
/**
* Recursively append comments to the main comment list and children
* lists, creating the comment tree.
*/
function appendComments(comments, ul) {
$.each(comments, function() {
var div = createCommentDiv(this);
ul.append($(document.createElement('li')).html(div));
appendComments(this.children, div.find('ul.comment-children'));
// To avoid stagnating data, don't store the comments children in data.
this.children = null;
div.data('comment', this);
});
}
/**
* After adding a new comment, it must be inserted in the correct
* location in the comment tree.
*/
function insertComment(comment) {
var div = createCommentDiv(comment);
// To avoid stagnating data, don't store the comments children in data.
comment.children = null;
div.data('comment', comment);
var ul = $('#cl' + (comment.node || comment.parent));
var siblings = getChildren(ul);
var li = $(document.createElement('li'));
li.hide();
// Determine where in the parents children list to insert this comment.
for(i=0; i < siblings.length; i++) {
if (comp(comment, siblings[i]) <= 0) {
$('#cd' + siblings[i].id)
.parent()
.before(li.html(div));
li.slideDown('fast');
return;
}
}
// If we get here, this comment rates lower than all the others,
// or it is the only comment in the list.
ul.append(li.html(div));
li.slideDown('fast');
}
function acceptComment(id) {
$.ajax({
type: 'POST',
url: opts.acceptCommentURL,
data: {id: id},
success: function(data, textStatus, request) {
$('#cm' + id).fadeOut('fast');
$('#cd' + id).removeClass('moderate');
},
error: function(request, textStatus, error) {
showError('Oops, there was a problem accepting the comment.');
}
});
}
function deleteComment(id) {
$.ajax({
type: 'POST',
url: opts.deleteCommentURL,
data: {id: id},
success: function(data, textStatus, request) {
var div = $('#cd' + id);
if (data == 'delete') {
// Moderator mode: remove the comment and all children immediately
div.slideUp('fast', function() {
div.remove();
});
return;
}
// User mode: only mark the comment as deleted
div
.find('span.user-id:first')
.text('[deleted]').end()
.find('div.comment-text:first')
.text('[deleted]').end()
.find('#cm' + id + ', #dc' + id + ', #ac' + id + ', #rc' + id +
', #sp' + id + ', #hp' + id + ', #cr' + id + ', #rl' + id)
.remove();
var comment = div.data('comment');
comment.username = '[deleted]';
comment.text = '[deleted]';
div.data('comment', comment);
},
error: function(request, textStatus, error) {
showError('Oops, there was a problem deleting the comment.');
}
});
}
function showProposal(id) {
$('#sp' + id).hide();
$('#hp' + id).show();
$('#pr' + id).slideDown('fast');
}
function hideProposal(id) {
$('#hp' + id).hide();
$('#sp' + id).show();
$('#pr' + id).slideUp('fast');
}
function showProposeChange(id) {
$('#pc' + id).hide();
$('#hc' + id).show();
var textarea = $('#pt' + id);
textarea.val(textarea.data('source'));
$.fn.autogrow.resize(textarea[0]);
textarea.slideDown('fast');
}
function hideProposeChange(id) {
$('#hc' + id).hide();
$('#pc' + id).show();
var textarea = $('#pt' + id);
textarea.val('').removeAttr('disabled');
textarea.slideUp('fast');
}
function toggleCommentMarkupBox(id) {
$('#mb' + id).toggle();
}
/** Handle when the user clicks on a sort by link. */
function handleReSort(link) {
var classes = link.attr('class').split(/\s+/);
for (var i=0; i<classes.length; i++) {
if (classes[i] != 'sort-option') {
by = classes[i].substring(2);
}
}
setComparator();
// Save/update the sortBy cookie.
var expiration = new Date();
expiration.setDate(expiration.getDate() + 365);
document.cookie= 'sortBy=' + escape(by) +
';expires=' + expiration.toUTCString();
$('ul.comment-ul').each(function(index, ul) {
var comments = getChildren($(ul), true);
comments = sortComments(comments);
appendComments(comments, $(ul).empty());
});
}
/**
* Function to process a vote when a user clicks an arrow.
*/
function handleVote(link) {
if (!opts.voting) {
showError("You'll need to login to vote.");
return;
}
var id = link.attr('id');
if (!id) {
// Didn't click on one of the voting arrows.
return;
}
// If it is an unvote, the new vote value is 0,
// Otherwise it's 1 for an upvote, or -1 for a downvote.
var value = 0;
if (id.charAt(1) != 'u') {
value = id.charAt(0) == 'u' ? 1 : -1;
}
// The data to be sent to the server.
var d = {
comment_id: id.substring(2),
value: value
};
// Swap the vote and unvote links.
link.hide();
$('#' + id.charAt(0) + (id.charAt(1) == 'u' ? 'v' : 'u') + d.comment_id)
.show();
// The div the comment is displayed in.
var div = $('div#cd' + d.comment_id);
var data = div.data('comment');
// If this is not an unvote, and the other vote arrow has
// already been pressed, unpress it.
if ((d.value !== 0) && (data.vote === d.value * -1)) {
$('#' + (d.value == 1 ? 'd' : 'u') + 'u' + d.comment_id).hide();
$('#' + (d.value == 1 ? 'd' : 'u') + 'v' + d.comment_id).show();
}
// Update the comments rating in the local data.
data.rating += (data.vote === 0) ? d.value : (d.value - data.vote);
data.vote = d.value;
div.data('comment', data);
// Change the rating text.
div.find('.rating:first')
.text(data.rating + ' point' + (data.rating == 1 ? '' : 's'));
// Send the vote information to the server.
$.ajax({
type: "POST",
url: opts.processVoteURL,
data: d,
error: function(request, textStatus, error) {
showError('Oops, there was a problem casting that vote.');
}
});
}
/**
* Open a reply form used to reply to an existing comment.
*/
function openReply(id) {
// Swap out the reply link for the hide link
$('#rl' + id).hide();
$('#cr' + id).show();
// Add the reply li to the children ul.
var div = $(renderTemplate(replyTemplate, {id: id})).hide();
$('#cl' + id)
.prepend(div)
// Setup the submit handler for the reply form.
.find('#rf' + id)
.submit(function(event) {
event.preventDefault();
addComment($('#rf' + id));
closeReply(id);
})
.find('input[type=button]')
.click(function() {
closeReply(id);
});
div.slideDown('fast', function() {
$('#rf' + id).find('textarea').focus();
});
}
/**
* Close the reply form opened with openReply.
*/
function closeReply(id) {
// Remove the reply div from the DOM.
$('#rd' + id).slideUp('fast', function() {
$(this).remove();
});
// Swap out the hide link for the reply link
$('#cr' + id).hide();
$('#rl' + id).show();
}
/**
* Recursively sort a tree of comments using the comp comparator.
*/
function sortComments(comments) {
comments.sort(comp);
$.each(comments, function() {
this.children = sortComments(this.children);
});
return comments;
}
/**
* Get the children comments from a ul. If recursive is true,
* recursively include childrens' children.
*/
function getChildren(ul, recursive) {
var children = [];
ul.children().children("[id^='cd']")
.each(function() {
var comment = $(this).data('comment');
if (recursive)
comment.children = getChildren($(this).find('#cl' + comment.id), true);
children.push(comment);
});
return children;
}
/** Create a div to display a comment in. */
function createCommentDiv(comment) {
if (!comment.displayed && !opts.moderator) {
return $('<div class="moderate">Thank you! Your comment will show up '
+ 'once it is has been approved by a moderator.</div>');
}
// Prettify the comment rating.
comment.pretty_rating = comment.rating + ' point' +
(comment.rating == 1 ? '' : 's');
// Make a class (for displaying not yet moderated comments differently)
comment.css_class = comment.displayed ? '' : ' moderate';
// Create a div for this comment.
var context = $.extend({}, opts, comment);
var div = $(renderTemplate(commentTemplate, context));
// If the user has voted on this comment, highlight the correct arrow.
if (comment.vote) {
var direction = (comment.vote == 1) ? 'u' : 'd';
div.find('#' + direction + 'v' + comment.id).hide();
div.find('#' + direction + 'u' + comment.id).show();
}
if (opts.moderator || comment.text != '[deleted]') {
div.find('a.reply').show();
if (comment.proposal_diff)
div.find('#sp' + comment.id).show();
if (opts.moderator && !comment.displayed)
div.find('#cm' + comment.id).show();
if (opts.moderator || (opts.username == comment.username))
div.find('#dc' + comment.id).show();
}
return div;
}
/**
* A simple template renderer. Placeholders such as <%id%> are replaced
* by context['id'] with items being escaped. Placeholders such as <#id#>
* are not escaped.
*/
function renderTemplate(template, context) {
var esc = $(document.createElement('div'));
function handle(ph, escape) {
var cur = context;
$.each(ph.split('.'), function() {
cur = cur[this];
});
return escape ? esc.text(cur || "").html() : cur;
}
return template.replace(/<([%#])([\w\.]*)\1>/g, function() {
return handle(arguments[2], arguments[1] == '%' ? true : false);
});
}
/** Flash an error message briefly. */
function showError(message) {
$(document.createElement('div')).attr({'class': 'popup-error'})
.append($(document.createElement('div'))
.attr({'class': 'error-message'}).text(message))
.appendTo('body')
.fadeIn("slow")
.delay(2000)
.fadeOut("slow");
}
/** Add a link the user uses to open the comments popup. */
$.fn.comment = function() {
return this.each(function() {
var id = $(this).attr('id').substring(1);
var count = COMMENT_METADATA[id];
var title = count + ' comment' + (count == 1 ? '' : 's');
var image = count > 0 ? opts.commentBrightImage : opts.commentImage;
var addcls = count == 0 ? ' nocomment' : '';
$(this)
.append(
$(document.createElement('a')).attr({
href: '#',
'class': 'sphinx-comment-open' + addcls,
id: 'ao' + id
})
.append($(document.createElement('img')).attr({
src: image,
alt: 'comment',
title: title
}))
.click(function(event) {
event.preventDefault();
show($(this).attr('id').substring(2));
})
)
.append(
$(document.createElement('a')).attr({
href: '#',
'class': 'sphinx-comment-close hidden',
id: 'ah' + id
})
.append($(document.createElement('img')).attr({
src: opts.closeCommentImage,
alt: 'close',
title: 'close'
}))
.click(function(event) {
event.preventDefault();
hide($(this).attr('id').substring(2));
})
);
});
};
var opts = {
processVoteURL: '/_process_vote',
addCommentURL: '/_add_comment',
getCommentsURL: '/_get_comments',
acceptCommentURL: '/_accept_comment',
deleteCommentURL: '/_delete_comment',
commentImage: '/static/_static/comment.png',
closeCommentImage: '/static/_static/comment-close.png',
loadingImage: '/static/_static/ajax-loader.gif',
commentBrightImage: '/static/_static/comment-bright.png',
upArrow: '/static/_static/up.png',
downArrow: '/static/_static/down.png',
upArrowPressed: '/static/_static/up-pressed.png',
downArrowPressed: '/static/_static/down-pressed.png',
voting: false,
moderator: false
};
if (typeof COMMENT_OPTIONS != "undefined") {
opts = jQuery.extend(opts, COMMENT_OPTIONS);
}
var popupTemplate = '\
<div class="sphinx-comments" id="sc<%id%>">\
<p class="sort-options">\
Sort by:\
<a href="#" class="sort-option byrating">best rated</a>\
<a href="#" class="sort-option byascage">newest</a>\
<a href="#" class="sort-option byage">oldest</a>\
</p>\
<div class="comment-header">Comments</div>\
<div class="comment-loading" id="cn<%id%>">\
loading comments... <img src="<%loadingImage%>" alt="" /></div>\
<ul id="cl<%id%>" class="comment-ul"></ul>\
<div id="ca<%id%>">\
<p class="add-a-comment">Add a comment\
(<a href="#" class="comment-markup" id="ab<%id%>">markup</a>):</p>\
<div class="comment-markup-box" id="mb<%id%>">\
reStructured text markup: <i>*emph*</i>, <b>**strong**</b>, \
<code>``code``</code>, \
code blocks: <code>::</code> and an indented block after blank line</div>\
<form method="post" id="cf<%id%>" class="comment-form" action="">\
<textarea name="comment" cols="80"></textarea>\
<p class="propose-button">\
<a href="#" id="pc<%id%>" class="show-propose-change">\
Propose a change &#9657;\
</a>\
<a href="#" id="hc<%id%>" class="hide-propose-change">\
Propose a change &#9663;\
</a>\
</p>\
<textarea name="proposal" id="pt<%id%>" cols="80"\
spellcheck="false"></textarea>\
<input type="submit" value="Add comment" />\
<input type="hidden" name="node" value="<%id%>" />\
<input type="hidden" name="parent" value="" />\
</form>\
</div>\
</div>';
var commentTemplate = '\
<div id="cd<%id%>" class="sphinx-comment<%css_class%>">\
<div class="vote">\
<div class="arrow">\
<a href="#" id="uv<%id%>" class="vote" title="vote up">\
<img src="<%upArrow%>" />\
</a>\
<a href="#" id="uu<%id%>" class="un vote" title="vote up">\
<img src="<%upArrowPressed%>" />\
</a>\
</div>\
<div class="arrow">\
<a href="#" id="dv<%id%>" class="vote" title="vote down">\
<img src="<%downArrow%>" id="da<%id%>" />\
</a>\
<a href="#" id="du<%id%>" class="un vote" title="vote down">\
<img src="<%downArrowPressed%>" />\
</a>\
</div>\
</div>\
<div class="comment-content">\
<p class="tagline comment">\
<span class="user-id"><%username%></span>\
<span class="rating"><%pretty_rating%></span>\
<span class="delta"><%time.delta%></span>\
</p>\
<div class="comment-text comment"><#text#></div>\
<p class="comment-opts comment">\
<a href="#" class="reply hidden" id="rl<%id%>">reply &#9657;</a>\
<a href="#" class="close-reply" id="cr<%id%>">reply &#9663;</a>\
<a href="#" id="sp<%id%>" class="show-proposal">proposal &#9657;</a>\
<a href="#" id="hp<%id%>" class="hide-proposal">proposal &#9663;</a>\
<a href="#" id="dc<%id%>" class="delete-comment hidden">delete</a>\
<span id="cm<%id%>" class="moderation hidden">\
<a href="#" id="ac<%id%>" class="accept-comment">accept</a>\
</span>\
</p>\
<pre class="proposal" id="pr<%id%>">\
<#proposal_diff#>\
</pre>\
<ul class="comment-children" id="cl<%id%>"></ul>\
</div>\
<div class="clearleft"></div>\
</div>\
</div>';
var replyTemplate = '\
<li>\
<div class="reply-div" id="rd<%id%>">\
<form id="rf<%id%>">\
<textarea name="comment" cols="80"></textarea>\
<input type="submit" value="Add reply" />\
<input type="button" value="Cancel" />\
<input type="hidden" name="parent" value="<%id%>" />\
<input type="hidden" name="node" value="" />\
</form>\
</div>\
</li>';
$(document).ready(function() {
init();
});
})(jQuery);
$(document).ready(function() {
// add comment anchors for all paragraphs that are commentable
$('.sphinx-has-comment').comment();
// highlight search words in search results
$("div.context").each(function() {
var params = $.getQueryParameters();
var terms = (params.q) ? params.q[0].split(/\s+/) : [];
var result = $(this);
$.each(terms, function() {
result.highlightText(this.toLowerCase(), 'highlighted');
});
});
// directly open comment window if requested
var anchor = document.location.hash;
if (anchor.substring(0, 9) == '#comment-') {
$('#ao' + anchor.substring(9)).click();
document.location.hash = '#s' + anchor.substring(9);
}
});
appendix.html
+514
View File
@@ -0,0 +1,514 @@
<!DOCTYPE html>
<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>API Reference &mdash; Catalyst 0.3 documentation</title>
<link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
<link rel="top" title="Catalyst 0.3 documentation" href="index.html"/>
<link rel="next" title="Release Process" href="release-process.html"/>
<link rel="prev" title="Development Guidelines" href="development-guidelines.html"/>
<script src="_static/js/modernizr.min.js"></script>
</head>
<body class="wy-body-for-nav" role="document">
<div class="wy-grid-for-nav">
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-nav-search">
<a href="index.html" class="icon icon-home"> Catalyst
</a>
<div role="search">
<form id="rtd-search-form" class="wy-form" action="search.html" method="get">
<input type="text" name="q" placeholder="Search docs" />
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
</div>
</div>
<div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a><ul>
<li class="toctree-l2"><a class="reference internal" href="install.html#installing-with-pip">Installing with <code class="docutils literal"><span class="pre">pip</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="install.html#gnu-linux">GNU/Linux</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#osx">OSX</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#windows">Windows</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="install.html#installing-with-conda">Installing with <code class="docutils literal"><span class="pre">conda</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="beginner-tutorial.html">Zipline Beginner Tutorial</a><ul>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#basics">Basics</a></li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#my-first-algorithm">My first algorithm</a></li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#running-the-algorithm">Running the algorithm</a><ul>
<li class="toctree-l3"><a class="reference internal" href="beginner-tutorial.html#ingesting-data">Ingesting Data</a></li>
<li class="toctree-l3"><a class="reference internal" href="beginner-tutorial.html#command-line-interface">Command line interface</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#ipython-notebook">IPython Notebook</a></li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#access-to-previous-prices-using-history">Access to previous prices using <code class="docutils literal"><span class="pre">history</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="beginner-tutorial.html#working-example-dual-moving-average-cross-over">Working example: Dual Moving Average Cross-Over</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#conclusions">Conclusions</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="bundles.html">Data Bundles</a><ul>
<li class="toctree-l2"><a class="reference internal" href="bundles.html#discovering-available-bundles">Discovering Available Bundles</a></li>
<li class="toctree-l2"><a class="reference internal" href="bundles.html#ingesting-data">Ingesting Data</a></li>
<li class="toctree-l2"><a class="reference internal" href="bundles.html#old-data">Old Data</a></li>
<li class="toctree-l2"><a class="reference internal" href="bundles.html#running-backtests-with-data-bundles">Running Backtests with Data Bundles</a></li>
<li class="toctree-l2"><a class="reference internal" href="bundles.html#default-data-bundles">Default Data Bundles</a><ul>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#quandl-wiki-bundle">Quandl WIKI Bundle</a><ul>
<li class="toctree-l4"><a class="reference internal" href="bundles.html#quantopian-quandl-wiki-mirror">Quantopian Quandl WIKI Mirror</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#yahoo-bundle-factories">Yahoo Bundle Factories</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="bundles.html#writing-a-new-bundle">Writing a New Bundle</a><ul>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#environ"><code class="docutils literal"><span class="pre">environ</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#asset-db-writer"><code class="docutils literal"><span class="pre">asset_db_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#minute-bar-writer"><code class="docutils literal"><span class="pre">minute_bar_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#daily-bar-writer"><code class="docutils literal"><span class="pre">daily_bar_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#adjustment-writer"><code class="docutils literal"><span class="pre">adjustment_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#calendar"><code class="docutils literal"><span class="pre">calendar</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#start-session"><code class="docutils literal"><span class="pre">start_session</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#end-session"><code class="docutils literal"><span class="pre">end_session</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#cache"><code class="docutils literal"><span class="pre">cache</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#show-progress"><code class="docutils literal"><span class="pre">show_progress</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="bundles.html#output-dir"><code class="docutils literal"><span class="pre">output_dir</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="development-guidelines.html">Development Guidelines</a><ul>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#creating-a-development-environment">Creating a Development Environment</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#development-with-docker">Development with Docker</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#style-guide-running-tests">Style Guide &amp; Running Tests</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#continuous-integration">Continuous Integration</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#packaging">Packaging</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#contributing-to-the-docs">Contributing to the Docs</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#commit-messages">Commit messages</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#formatting-docstrings">Formatting Docstrings</a></li>
</ul>
</li>
<li class="toctree-l1 current"><a class="current reference internal" href="">API Reference</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#running-a-backtest">Running a Backtest</a></li>
<li class="toctree-l2"><a class="reference internal" href="#algorithm-api">Algorithm API</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#data-object">Data Object</a></li>
<li class="toctree-l3"><a class="reference internal" href="#scheduling-functions">Scheduling Functions</a></li>
<li class="toctree-l3"><a class="reference internal" href="#orders">Orders</a><ul>
<li class="toctree-l4"><a class="reference internal" href="#order-cancellation-policies">Order Cancellation Policies</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="#assets">Assets</a></li>
<li class="toctree-l3"><a class="reference internal" href="#trading-controls">Trading Controls</a></li>
<li class="toctree-l3"><a class="reference internal" href="#simulation-parameters">Simulation Parameters</a><ul>
<li class="toctree-l4"><a class="reference internal" href="#commission-models">Commission Models</a></li>
<li class="toctree-l4"><a class="reference internal" href="#slippage-models">Slippage Models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="#pipeline">Pipeline</a></li>
<li class="toctree-l3"><a class="reference internal" href="#miscellaneous">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#pipeline-api">Pipeline API</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#built-in-factors">Built-in Factors</a></li>
<li class="toctree-l3"><a class="reference internal" href="#pipeline-engine">Pipeline Engine</a></li>
<li class="toctree-l3"><a class="reference internal" href="#data-loaders">Data Loaders</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#asset-metadata">Asset Metadata</a></li>
<li class="toctree-l2"><a class="reference internal" href="#trading-calendar-api">Trading Calendar API</a></li>
<li class="toctree-l2"><a class="reference internal" href="#data-api">Data API</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#writers">Writers</a></li>
<li class="toctree-l3"><a class="reference internal" href="#readers">Readers</a></li>
<li class="toctree-l3"><a class="reference internal" href="#bundles">Bundles</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#utilities">Utilities</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#caching">Caching</a></li>
<li class="toctree-l3"><a class="reference internal" href="#command-line">Command Line</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="release-process.html">Release Process</a><ul>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#updating-the-release-notes">Updating the Release Notes</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#updating-the-python-stub-files">Updating the Python stub files</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#updating-the-version">Updating the <code class="docutils literal"><span class="pre">__version__</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#uploading-pypi-packages">Uploading PyPI packages</a><ul>
<li class="toctree-l3"><a class="reference internal" href="release-process.html#sdist"><code class="docutils literal"><span class="pre">sdist</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="release-process.html#bdist"><code class="docutils literal"><span class="pre">bdist</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#documentation">Documentation</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#uploading-conda-packages">Uploading conda packages</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#next-commit">Next Commit</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="releases.html">Release Notes</a><ul>
<li class="toctree-l2"><a class="reference internal" href="releases.html#development">Development</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#highlights">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#enhancements">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#experimental-features">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#bug-fixes">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#performance">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#maintenance-and-refactorings">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#build">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#documentation">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#miscellaneous">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-1-0">Release 1.1.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id1">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id2">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id3">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id4">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id5">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id6">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id7">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-0-2">Release 1.0.2</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id8">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#experimental">Experimental</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id9">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id10">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id11">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id12">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#testing">Testing</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#data-format-changes">Data Format Changes</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-0-1">Release 1.0.1</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id13">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id14">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id15">Documentation</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-0-0">Release 1.0.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id16">Highlights</a><ul>
<li class="toctree-l4"><a class="reference internal" href="releases.html#zipline-1-0-rewrite-1105">Zipline 1.0 Rewrite (#1105)</a></li>
<li class="toctree-l4"><a class="reference internal" href="releases.html#new-entry-points-1173-and-1178">New Entry Points (#1173 and #1178)</a></li>
<li class="toctree-l4"><a class="reference internal" href="releases.html#data-bundles-1173-and-1178">Data Bundles (#1173 and #1178)</a></li>
<li class="toctree-l4"><a class="reference internal" href="releases.html#string-support-in-pipeline-1174">String Support in Pipeline (#1174)</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id17">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id18">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id19">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id20">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id21">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id22">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id23">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id24">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-9-0">Release 0.9.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id25">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id26">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id27">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id28">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id29">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id30">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id31">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id32">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id33">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-8-4">Release 0.8.4</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id34">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id35">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id36">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id37">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id38">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id39">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id40">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id41">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id42">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-8-3">Release 0.8.3</a></li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-8-0">Release 0.8.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id43">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id44">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id45">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id46">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id47">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id48">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id49">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id50">Documentation</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-7-0">Release 0.7.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id51">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id52">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id53">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id54">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id55">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id56">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#contributors">Contributors</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-6-1">Release 0.6.1</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id57">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id58">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id59">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id60">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id61">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id62">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id63">Contributors</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
&nbsp;
</nav>
<section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">
<nav class="wy-nav-top" role="navigation" aria-label="top navigation">
<i data-toggle="wy-nav-top" class="fa fa-bars"></i>
<a href="index.html">Catalyst</a>
</nav>
<div class="wy-nav-content">
<div class="rst-content">
<div role="navigation" aria-label="breadcrumbs navigation">
<ul class="wy-breadcrumbs">
<li><a href="index.html">Docs</a> &raquo;</li>
<li>API Reference</li>
<li class="wy-breadcrumbs-aside">
<a href="_sources/appendix.txt" rel="nofollow"> View page source</a>
</li>
</ul>
<hr/>
</div>
<div role="main" class="document">
<div class="section" id="api-reference">
<h1>API Reference<a class="headerlink" href="#api-reference" title="Permalink to this headline"></a></h1>
<div class="section" id="running-a-backtest">
<h2>Running a Backtest<a class="headerlink" href="#running-a-backtest" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="algorithm-api">
<h2>Algorithm API<a class="headerlink" href="#algorithm-api" title="Permalink to this headline"></a></h2>
<p>The following methods are available for use in the <code class="docutils literal"><span class="pre">initialize</span></code>,
<code class="docutils literal"><span class="pre">handle_data</span></code>, and <code class="docutils literal"><span class="pre">before_trading_start</span></code> API functions.</p>
<p>In all listed functions, the <code class="docutils literal"><span class="pre">self</span></code> argument is implicitly the
currently-executing <code class="xref py py-class docutils literal"><span class="pre">TradingAlgorithm</span></code> instance.</p>
<div class="section" id="data-object">
<h3>Data Object<a class="headerlink" href="#data-object" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="scheduling-functions">
<h3>Scheduling Functions<a class="headerlink" href="#scheduling-functions" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="orders">
<h3>Orders<a class="headerlink" href="#orders" title="Permalink to this headline"></a></h3>
<div class="section" id="order-cancellation-policies">
<h4>Order Cancellation Policies<a class="headerlink" href="#order-cancellation-policies" title="Permalink to this headline"></a></h4>
</div>
</div>
<div class="section" id="assets">
<h3>Assets<a class="headerlink" href="#assets" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="trading-controls">
<h3>Trading Controls<a class="headerlink" href="#trading-controls" title="Permalink to this headline"></a></h3>
<p>Zipline provides trading controls to help ensure that the algorithm is
performing as expected. The functions help protect the algorithm from certian
bugs that could cause undesirable behavior when trading with real money.</p>
</div>
<div class="section" id="simulation-parameters">
<h3>Simulation Parameters<a class="headerlink" href="#simulation-parameters" title="Permalink to this headline"></a></h3>
<div class="section" id="commission-models">
<h4>Commission Models<a class="headerlink" href="#commission-models" title="Permalink to this headline"></a></h4>
</div>
<div class="section" id="slippage-models">
<h4>Slippage Models<a class="headerlink" href="#slippage-models" title="Permalink to this headline"></a></h4>
</div>
</div>
<div class="section" id="pipeline">
<h3>Pipeline<a class="headerlink" href="#pipeline" title="Permalink to this headline"></a></h3>
<p>For more information, see <a class="reference internal" href="#pipeline-api"><span>Pipeline API</span></a></p>
</div>
<div class="section" id="miscellaneous">
<h3>Miscellaneous<a class="headerlink" href="#miscellaneous" title="Permalink to this headline"></a></h3>
</div>
</div>
<div class="section" id="pipeline-api">
<span id="id1"></span><h2>Pipeline API<a class="headerlink" href="#pipeline-api" title="Permalink to this headline"></a></h2>
<div class="section" id="built-in-factors">
<h3>Built-in Factors<a class="headerlink" href="#built-in-factors" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="pipeline-engine">
<h3>Pipeline Engine<a class="headerlink" href="#pipeline-engine" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="data-loaders">
<h3>Data Loaders<a class="headerlink" href="#data-loaders" title="Permalink to this headline"></a></h3>
</div>
</div>
<div class="section" id="asset-metadata">
<h2>Asset Metadata<a class="headerlink" href="#asset-metadata" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="trading-calendar-api">
<h2>Trading Calendar API<a class="headerlink" href="#trading-calendar-api" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="data-api">
<h2>Data API<a class="headerlink" href="#data-api" title="Permalink to this headline"></a></h2>
<div class="section" id="writers">
<h3>Writers<a class="headerlink" href="#writers" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="readers">
<h3>Readers<a class="headerlink" href="#readers" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="bundles">
<h3>Bundles<a class="headerlink" href="#bundles" title="Permalink to this headline"></a></h3>
<dl class="data">
<dt id="zipline.data.bundles.bundles">
<code class="descclassname">zipline.data.bundles.</code><code class="descname">bundles</code><a class="headerlink" href="#zipline.data.bundles.bundles" title="Permalink to this definition"></a></dt>
<dd><p>The bundles that have been registered as a mapping from bundle name to bundle
data. This mapping is immutable and should only be updated through
<code class="xref py py-func docutils literal"><span class="pre">register()</span></code> or
<code class="xref py py-func docutils literal"><span class="pre">unregister()</span></code>.</p>
</dd></dl>
</div>
</div>
<div class="section" id="utilities">
<h2>Utilities<a class="headerlink" href="#utilities" title="Permalink to this headline"></a></h2>
<div class="section" id="caching">
<h3>Caching<a class="headerlink" href="#caching" title="Permalink to this headline"></a></h3>
</div>
<div class="section" id="command-line">
<h3>Command Line<a class="headerlink" href="#command-line" title="Permalink to this headline"></a></h3>
</div>
</div>
</div>
</div>
<footer>
<div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
<a href="release-process.html" class="btn btn-neutral float-right" title="Release Process" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
<a href="development-guidelines.html" class="btn btn-neutral" title="Development Guidelines" accesskey="p"><span class="fa fa-arrow-circle-left"></span> Previous</a>
</div>
<hr/>
<div role="contentinfo">
<p>
&copy; Copyright 2017, Enigma MPC, Inc..
</p>
</div>
Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/snide/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>.
</footer>
</div>
</div>
</section>
</div>
<script type="text/javascript">
var DOCUMENTATION_OPTIONS = {
URL_ROOT:'./',
VERSION:'0.3',
COLLAPSE_INDEX:false,
FILE_SUFFIX:'.html',
HAS_SOURCE: true
};
</script>
<script type="text/javascript" src="_static/jquery.js"></script>
<script type="text/javascript" src="_static/underscore.js"></script>
<script type="text/javascript" src="_static/doctools.js"></script>
<script type="text/javascript" src="_static/js/theme.js"></script>
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.StickyNav.enable();
});
</script>
</body>
</html>
appveyor.yml
-109
View File
@@ -1,109 +0,0 @@
#matrix:
# fast_finish: true
environment:
global:
# SDK v7.0 MSVC Express 2008's SetEnv.cmd script will fail if the
# /E:ON and /V:ON options are not enabled in the batch script intepreter
# See: http://stackoverflow.com/a/13751649/163740
CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\ci\\appveyor\\run_with_env.cmd"
# 1. Generated a token for appveyor at https://anaconda.org/quantopian/settings/access with scope api:write.
# Can also be done via anaconda CLI with
# $ anaconda auth --create --name my_appveyor_token
# 2. Generated secure env var below via appveyor's Encrypt data tool at https://ci.appveyor.com/tools/encrypt.
# See https://www.appveyor.com/docs/build-configuration/#secure-variables.
ANACONDA_TOKEN:
secure: "mfGCRgiY6D5BmJkH4HFPDJUH+6W9zH0cxKZ5o/cv9grfRkfu5YRG26No88H1q7Ua"
CONDA_ROOT_PYTHON_VERSION: "2.7"
matrix:
- PYTHON_VERSION: "2.7"
PYTHON_ARCH: "64"
PANDAS_VERSION: "0.18.1"
NUMPY_VERSION: "1.11.1"
SCIPY_VERSION: "0.17.1"
- PYTHON_VERSION: "3.4"
PYTHON_ARCH: "64"
PANDAS_VERSION: "0.18.1"
NUMPY_VERSION: "1.11.1"
SCIPY_VERSION: "0.17.1"
- PYTHON_VERSION: "3.5"
PYTHON_ARCH: "64"
PANDAS_VERSION: "0.18.1"
NUMPY_VERSION: "1.11.1"
SCIPY_VERSION: "0.17.1"
# We always use a 64-bit machine, but can build x86 distributions
# with the PYTHON_ARCH variable (which is used by CMD_IN_ENV).
platform:
- x64
cache:
- '%LOCALAPPDATA%\pip\Cache'
# all our python builds have to happen in tests_script...
build: false
init:
- "ECHO %PYTHON_VERSION% %PYTHON_ARCH% %PYTHON%"
- "ECHO %NUMPY_VERSION%"
install:
# If there is a newer build queued for the same PR, cancel this one.
# The AppVeyor 'rollout builds' option is supposed to serve the same
# purpose but it is problematic because it tends to cancel builds pushed
# directly to master instead of just PR builds (or the converse).
# credits: JuliaLang developers.
- ps: if ($env:APPVEYOR_PULL_REQUEST_NUMBER -and $env:APPVEYOR_BUILD_NUMBER -ne ((Invoke-RestMethod `
https://ci.appveyor.com/api/projects/$env:APPVEYOR_ACCOUNT_NAME/$env:APPVEYOR_PROJECT_SLUG/history?recordsNumber=50).builds | `
Where-Object pullRequestId -eq $env:APPVEYOR_PULL_REQUEST_NUMBER)[0].buildNumber) { `
throw "There are newer queued builds for this pull request, failing early." }
- ps: $NPY_VERSION_ARR=$env:NUMPY_VERSION -split '.', 0, 'simplematch'
- ps: $env:CONDA_NPY=$NPY_VERSION_ARR[0..1] -join ""
- ps: $PY_VERSION_ARR=$env:PYTHON_VERSION -split '.', 0, 'simplematch'
- ps: $env:CONDA_PY=$PY_VERSION_ARR[0..1] -join ""
- SET PYTHON=C:\Python%CONDA_PY%_64
# Get cygwin's git out of our PATH. See https://github.com/omnia-md/conda-dev-recipes/pull/16/files#diff-180360612c6b8c4ed830919bbb4dd459
- "del C:\\cygwin\\bin\\git.exe"
# this installs the appropriate Miniconda (Py2/Py3, 32/64 bit),
- powershell .\ci\appveyor\install.ps1
- SET PATH=%PYTHON%;%PYTHON%\Scripts;%PATH%
- sed -i "s/numpy==.*/numpy==%NUMPY_VERSION%/" etc/requirements.txt
- sed -i "s/pandas==.*/pandas==%PANDAS_VERSION%/" etc/requirements.txt
- sed -i "s/scipy==.*/scipy==%SCIPY_VERSION%/" etc/requirements.txt
- conda info -a
- conda install conda=4.1.11 conda-build=1.21.11 anaconda-client=1.5.1 --yes -q
# https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ for 64bit C compilation
- ps: copy .\ci\appveyor\vcvars64.bat "C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\bin\amd64"
- "%CMD_IN_ENV% python .\\ci\\make_conda_packages.py"
# test that we can conda install catalyst in a new env
- conda create -n installenv --yes -q --use-local python=%PYTHON_VERSION% numpy=%NUMPY_VERSION% catalyst -c quantopian -c https://conda.anaconda.org/quantopian/label/ci
- ps: $env:BCOLZ_VERSION=(sls "bcolz==(.*)" .\etc\requirements.txt -ca).matches.groups[1].value
- ps: $env:NUMEXPR_VERSION=(sls "numexpr==(.*)" .\etc\requirements.txt -ca).matches.groups[1].value
- ps: $env:TALIB_VERSION=(sls "TA-Lib==(.*)" .\etc\requirements_talib.txt -ca).matches.groups[1].value
- conda create -n testenv --yes -q --use-local pip python=%PYTHON_VERSION% numpy=%NUMPY_VERSION% scipy=%SCIPY_VERSION% ta-lib=%TALIB_VERSION% bcolz=%BCOLZ_VERSION% numexpr=%NUMEXPR_VERSION% -c quantopian -c https://conda.anaconda.org/quantopian/label/ci
- activate testenv
- SET CACHE_DIR=%LOCALAPPDATA%\pip\Cache\pip_np%CONDA_NPY%py%CONDA_PY%
- pip install -r etc/requirements.txt --cache-dir=%CACHE_DIR%
- pip install -r etc/requirements_dev.txt --cache-dir=%CACHE_DIR%
# this uses git requirements right now
- pip install -r etc/requirements_blaze.txt --cache-dir=%CACHE_DIR%
- pip install -r etc/requirements_talib.txt --cache-dir=%CACHE_DIR%
- pip install -e .[all] --cache-dir=%CACHE_DIR%
- pip freeze | sort
test_script:
- nosetests -e catalyst.utils.numpy_utils
- flake8 catalyst tests
branches:
only:
- master
beginner-tutorial.html
+1085
View File
File diff suppressed because it is too large Load Diff
bundles.html
+715
View File
@@ -0,0 +1,715 @@
<!DOCTYPE html>
<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Data Bundles &mdash; Catalyst 0.3 documentation</title>
<link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
<link rel="top" title="Catalyst 0.3 documentation" href="index.html"/>
<link rel="next" title="Development Guidelines" href="development-guidelines.html"/>
<link rel="prev" title="Zipline Beginner Tutorial" href="beginner-tutorial.html"/>
<script src="_static/js/modernizr.min.js"></script>
</head>
<body class="wy-body-for-nav" role="document">
<div class="wy-grid-for-nav">
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-nav-search">
<a href="index.html" class="icon icon-home"> Catalyst
</a>
<div role="search">
<form id="rtd-search-form" class="wy-form" action="search.html" method="get">
<input type="text" name="q" placeholder="Search docs" />
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
</div>
</div>
<div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a><ul>
<li class="toctree-l2"><a class="reference internal" href="install.html#installing-with-pip">Installing with <code class="docutils literal"><span class="pre">pip</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="install.html#gnu-linux">GNU/Linux</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#osx">OSX</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#windows">Windows</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="install.html#installing-with-conda">Installing with <code class="docutils literal"><span class="pre">conda</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="beginner-tutorial.html">Zipline Beginner Tutorial</a><ul>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#basics">Basics</a></li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#my-first-algorithm">My first algorithm</a></li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#running-the-algorithm">Running the algorithm</a><ul>
<li class="toctree-l3"><a class="reference internal" href="beginner-tutorial.html#ingesting-data">Ingesting Data</a></li>
<li class="toctree-l3"><a class="reference internal" href="beginner-tutorial.html#command-line-interface">Command line interface</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#ipython-notebook">IPython Notebook</a></li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#access-to-previous-prices-using-history">Access to previous prices using <code class="docutils literal"><span class="pre">history</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="beginner-tutorial.html#working-example-dual-moving-average-cross-over">Working example: Dual Moving Average Cross-Over</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="beginner-tutorial.html#conclusions">Conclusions</a></li>
</ul>
</li>
<li class="toctree-l1 current"><a class="current reference internal" href="">Data Bundles</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#discovering-available-bundles">Discovering Available Bundles</a></li>
<li class="toctree-l2"><a class="reference internal" href="#ingesting-data">Ingesting Data</a></li>
<li class="toctree-l2"><a class="reference internal" href="#old-data">Old Data</a></li>
<li class="toctree-l2"><a class="reference internal" href="#running-backtests-with-data-bundles">Running Backtests with Data Bundles</a></li>
<li class="toctree-l2"><a class="reference internal" href="#default-data-bundles">Default Data Bundles</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#quandl-wiki-bundle">Quandl WIKI Bundle</a><ul>
<li class="toctree-l4"><a class="reference internal" href="#quantopian-quandl-wiki-mirror">Quantopian Quandl WIKI Mirror</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="#yahoo-bundle-factories">Yahoo Bundle Factories</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#writing-a-new-bundle">Writing a New Bundle</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#environ"><code class="docutils literal"><span class="pre">environ</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#asset-db-writer"><code class="docutils literal"><span class="pre">asset_db_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#minute-bar-writer"><code class="docutils literal"><span class="pre">minute_bar_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#daily-bar-writer"><code class="docutils literal"><span class="pre">daily_bar_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#adjustment-writer"><code class="docutils literal"><span class="pre">adjustment_writer</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#calendar"><code class="docutils literal"><span class="pre">calendar</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#start-session"><code class="docutils literal"><span class="pre">start_session</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#end-session"><code class="docutils literal"><span class="pre">end_session</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#cache"><code class="docutils literal"><span class="pre">cache</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#show-progress"><code class="docutils literal"><span class="pre">show_progress</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="#output-dir"><code class="docutils literal"><span class="pre">output_dir</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="development-guidelines.html">Development Guidelines</a><ul>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#creating-a-development-environment">Creating a Development Environment</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#development-with-docker">Development with Docker</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#style-guide-running-tests">Style Guide &amp; Running Tests</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#continuous-integration">Continuous Integration</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#packaging">Packaging</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#contributing-to-the-docs">Contributing to the Docs</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#commit-messages">Commit messages</a></li>
<li class="toctree-l2"><a class="reference internal" href="development-guidelines.html#formatting-docstrings">Formatting Docstrings</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="appendix.html">API Reference</a><ul>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#running-a-backtest">Running a Backtest</a></li>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#algorithm-api">Algorithm API</a><ul>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#data-object">Data Object</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#scheduling-functions">Scheduling Functions</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#orders">Orders</a><ul>
<li class="toctree-l4"><a class="reference internal" href="appendix.html#order-cancellation-policies">Order Cancellation Policies</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#assets">Assets</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#trading-controls">Trading Controls</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#simulation-parameters">Simulation Parameters</a><ul>
<li class="toctree-l4"><a class="reference internal" href="appendix.html#commission-models">Commission Models</a></li>
<li class="toctree-l4"><a class="reference internal" href="appendix.html#slippage-models">Slippage Models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#pipeline">Pipeline</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#miscellaneous">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#pipeline-api">Pipeline API</a><ul>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#built-in-factors">Built-in Factors</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#pipeline-engine">Pipeline Engine</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#data-loaders">Data Loaders</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#asset-metadata">Asset Metadata</a></li>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#trading-calendar-api">Trading Calendar API</a></li>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#data-api">Data API</a><ul>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#writers">Writers</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#readers">Readers</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#bundles">Bundles</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="appendix.html#utilities">Utilities</a><ul>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#caching">Caching</a></li>
<li class="toctree-l3"><a class="reference internal" href="appendix.html#command-line">Command Line</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="release-process.html">Release Process</a><ul>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#updating-the-release-notes">Updating the Release Notes</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#updating-the-python-stub-files">Updating the Python stub files</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#updating-the-version">Updating the <code class="docutils literal"><span class="pre">__version__</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#uploading-pypi-packages">Uploading PyPI packages</a><ul>
<li class="toctree-l3"><a class="reference internal" href="release-process.html#sdist"><code class="docutils literal"><span class="pre">sdist</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="release-process.html#bdist"><code class="docutils literal"><span class="pre">bdist</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#documentation">Documentation</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#uploading-conda-packages">Uploading conda packages</a></li>
<li class="toctree-l2"><a class="reference internal" href="release-process.html#next-commit">Next Commit</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="releases.html">Release Notes</a><ul>
<li class="toctree-l2"><a class="reference internal" href="releases.html#development">Development</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#highlights">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#enhancements">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#experimental-features">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#bug-fixes">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#performance">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#maintenance-and-refactorings">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#build">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#documentation">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#miscellaneous">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-1-0">Release 1.1.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id1">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id2">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id3">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id4">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id5">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id6">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id7">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-0-2">Release 1.0.2</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id8">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#experimental">Experimental</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id9">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id10">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id11">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id12">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#testing">Testing</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#data-format-changes">Data Format Changes</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-0-1">Release 1.0.1</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id13">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id14">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id15">Documentation</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-1-0-0">Release 1.0.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id16">Highlights</a><ul>
<li class="toctree-l4"><a class="reference internal" href="releases.html#zipline-1-0-rewrite-1105">Zipline 1.0 Rewrite (#1105)</a></li>
<li class="toctree-l4"><a class="reference internal" href="releases.html#new-entry-points-1173-and-1178">New Entry Points (#1173 and #1178)</a></li>
<li class="toctree-l4"><a class="reference internal" href="releases.html#data-bundles-1173-and-1178">Data Bundles (#1173 and #1178)</a></li>
<li class="toctree-l4"><a class="reference internal" href="releases.html#string-support-in-pipeline-1174">String Support in Pipeline (#1174)</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id17">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id18">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id19">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id20">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id21">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id22">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id23">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id24">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-9-0">Release 0.9.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id25">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id26">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id27">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id28">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id29">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id30">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id31">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id32">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id33">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-8-4">Release 0.8.4</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id34">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id35">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id36">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id37">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id38">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id39">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id40">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id41">Documentation</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id42">Miscellaneous</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-8-3">Release 0.8.3</a></li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-8-0">Release 0.8.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id43">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id44">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id45">Experimental Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id46">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id47">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id48">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id49">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id50">Documentation</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-7-0">Release 0.7.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id51">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id52">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id53">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id54">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id55">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id56">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#contributors">Contributors</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="releases.html#release-0-6-1">Release 0.6.1</a><ul>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id57">Highlights</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id58">Enhancements</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id59">Bug Fixes</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id60">Performance</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id61">Maintenance and Refactorings</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id62">Build</a></li>
<li class="toctree-l3"><a class="reference internal" href="releases.html#id63">Contributors</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
&nbsp;
</nav>
<section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">
<nav class="wy-nav-top" role="navigation" aria-label="top navigation">
<i data-toggle="wy-nav-top" class="fa fa-bars"></i>
<a href="index.html">Catalyst</a>
</nav>
<div class="wy-nav-content">
<div class="rst-content">
<div role="navigation" aria-label="breadcrumbs navigation">
<ul class="wy-breadcrumbs">
<li><a href="index.html">Docs</a> &raquo;</li>
<li>Data Bundles</li>
<li class="wy-breadcrumbs-aside">
<a href="_sources/bundles.txt" rel="nofollow"> View page source</a>
</li>
</ul>
<hr/>
</div>
<div role="main" class="document">
<div class="section" id="data-bundles">
<span id="id1"></span><h1>Data Bundles<a class="headerlink" href="#data-bundles" title="Permalink to this headline"></a></h1>
<p>A data bundle is a collection of pricing data, adjustment data, and an asset
database. Bundles allow us to preload all of the data we will need to run
backtests and store the data for future runs.</p>
<div class="section" id="discovering-available-bundles">
<span id="bundles-command"></span><h2>Discovering Available Bundles<a class="headerlink" href="#discovering-available-bundles" title="Permalink to this headline"></a></h2>
<p>Zipline comes with a few bundles by default as well as the ability to register
new bundles. To see which bundles we have have available, we may run the
<code class="docutils literal"><span class="pre">bundles</span></code> command, for example:</p>
<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>zipline bundles
my-custom-bundle 2016-05-05 20:35:19.809398
my-custom-bundle 2016-05-05 20:34:53.654082
my-custom-bundle 2016-05-05 20:34:48.401767
quandl &lt;no ingestions&gt;
quantopian-quandl 2016-05-05 20:06:40.894956
</pre></div>
</div>
<p>The output here shows that there are 3 bundles available:</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">my-custom-bundle</span></code> (added by the user)</li>
<li><code class="docutils literal"><span class="pre">quandl</span></code> (provided by zipline)</li>
<li><code class="docutils literal"><span class="pre">quantopian-quandl</span></code> (provided by zipline)</li>
</ul>
<p>The dates and times next to the name show the times when the data for this
bundle was ingested. We have run three different ingestions for
<code class="docutils literal"><span class="pre">my-custom-bundle</span></code>. We have never ingested any data for the <code class="docutils literal"><span class="pre">quandl</span></code> bundle
so it just shows <code class="docutils literal"><span class="pre">&lt;no</span> <span class="pre">ingestions&gt;</span></code> instead. Finally, there is only one
ingestion for <code class="docutils literal"><span class="pre">quantopian-quandl</span></code>.</p>
</div>
<div class="section" id="ingesting-data">
<span id="id2"></span><h2>Ingesting Data<a class="headerlink" href="#ingesting-data" title="Permalink to this headline"></a></h2>
<p>The first step to using a data bundle is to ingest the data. The ingestion
process will invoke some custom bundle command and then write the data to a
standard location that zipline can find. By default the location where ingested
data will be written is <code class="docutils literal"><span class="pre">$ZIPLINE_ROOT/data/&lt;bundle&gt;</span></code> where by default
<code class="docutils literal"><span class="pre">ZIPLINE_ROOT=~/.zipline</span></code>. The ingestion step may take some time as it could
involve downloading and processing a lot of data. This can be run with:</p>
<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>zipline ingest <span class="o">[</span>-b &lt;bundle&gt;<span class="o">]</span>
</pre></div>
</div>
<p>where <code class="docutils literal"><span class="pre">&lt;bundle&gt;</span></code> is the name of the bundle to ingest, defaulting to
<a class="reference internal" href="#quantopian-quandl-mirror"><span>quantopian-quandl</span></a>.</p>
</div>
<div class="section" id="old-data">
<h2>Old Data<a class="headerlink" href="#old-data" title="Permalink to this headline"></a></h2>
<p>When the <code class="docutils literal"><span class="pre">ingest</span></code> command is used it will write the new data to a subdirectory
of <code class="docutils literal"><span class="pre">$ZIPLINE_ROOT/data/&lt;bundle&gt;</span></code> which is named with the current date. This
makes it possible to look at older data or even run backtests with the older
copies. Running a backtest with an old ingestion makes it easier to reproduce
backtest results later.</p>
<p>One drawback of saving all of the data by default is that the data directory
may grow quite large even if you do not want to use the data. As shown earlier,
we can list all of the ingestions with the <a class="reference internal" href="#bundles-command"><span>bundles command</span></a>. To solve the problem of leaking old data there is another
command: <code class="docutils literal"><span class="pre">clean</span></code>, which will clear data bundles based on some time
constraints.</p>
<p>For example:</p>
<div class="highlight-bash"><div class="highlight"><pre><span class="c"># clean everything older than &lt;date&gt;</span>
<span class="nv">$ </span>zipline clean <span class="o">[</span>-b &lt;bundle&gt;<span class="o">]</span> --before &lt;date&gt;
<span class="c"># clean everything newer than &lt;date&gt;</span>
<span class="nv">$ </span>zipline clean <span class="o">[</span>-b &lt;bundle&gt;<span class="o">]</span> --after &lt;date&gt;
<span class="c"># keep everything in the range of [before, after] and delete the rest</span>
<span class="nv">$ </span>zipline clean <span class="o">[</span>-b &lt;bundle&gt;<span class="o">]</span> --before &lt;date&gt; --after &lt;after&gt;
<span class="c"># clean all but the last &lt;int&gt; runs</span>
<span class="nv">$ </span>zipline clean <span class="o">[</span>-b &lt;bundle&gt;<span class="o">]</span> --keep-last &lt;int&gt;
</pre></div>
</div>
</div>
<div class="section" id="running-backtests-with-data-bundles">
<h2>Running Backtests with Data Bundles<a class="headerlink" href="#running-backtests-with-data-bundles" title="Permalink to this headline"></a></h2>
<p>Now that the data has been ingested we can use it to run backtests with the
<code class="docutils literal"><span class="pre">run</span></code> command. The bundle to use can be specified with the <code class="docutils literal"><span class="pre">--bundle</span></code> option
like:</p>
<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>zipline run --bundle &lt;bundle&gt; --algofile algo.py ...
</pre></div>
</div>
<p>We may also specify the date to use to look up the bundle data with the
<code class="docutils literal"><span class="pre">--bundle-date</span></code> option. Setting the <code class="docutils literal"><span class="pre">--bundle-date</span></code> will cause run to use
the most recent bundle ingestion that is less than or equal to the
<code class="docutils literal"><span class="pre">bundle-date</span></code>. This is how we can run backtests with older data. The reason
that <code class="docutils literal"><span class="pre">-bundle-date</span></code> uses a less than or equal to relationship is that we can
specify the date that we ran an old backtest and get the same data that would
have been available to us on that date. The <code class="docutils literal"><span class="pre">bundle-date</span></code> defaults to the
current day to use the most recent data.</p>
</div>
<div class="section" id="default-data-bundles">
<h2>Default Data Bundles<a class="headerlink" href="#default-data-bundles" title="Permalink to this headline"></a></h2>
<div class="section" id="quandl-wiki-bundle">
<span id="quandl-data-bundle"></span><h3>Quandl WIKI Bundle<a class="headerlink" href="#quandl-wiki-bundle" title="Permalink to this headline"></a></h3>
<p>By default zipline comes with the <code class="docutils literal"><span class="pre">quandl</span></code> data bundle which uses quandl&#8217;s
<a class="reference external" href="https://www.quandl.com/data/WIKI">WIKI dataset</a>. The quandl data bundle
includes daily pricing data, splits, cash dividends, and asset metadata. To
ingest the <code class="docutils literal"><span class="pre">quandl</span></code> data bundle we recommend creating an account on quandl.com
to get an API key to be able to make more API requests per day. Once we have an
API key we may run:</p>
<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ QUANDL_API_KEY</span><span class="o">=</span>&lt;api-key&gt; zipline ingest -b quandl
</pre></div>
</div>
<p>though we may still run <code class="docutils literal"><span class="pre">ingest</span></code> as an anonymous quandl user (with no API
key). We may also set the <code class="docutils literal"><span class="pre">QUANDL_DOWNLOAD_ATTEMPTS</span></code> environment variable to
an integer which is the number of attempts that should be made to download data
from quandls servers. By default <code class="docutils literal"><span class="pre">QUANDL_DOWNLOAD_ATTEMPTS</span></code> will be 5, meaning
that we will retry each attempt 5 times.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last"><code class="docutils literal"><span class="pre">QUANDL_DOWNLOAD_ATTEMPTS</span></code> is not the total number of allowed failures,
just the number of allowed failures per request. The quandl loader will make
one request per 100 equities for the metadata followed by one request per
equity.</p>
</div>
<div class="section" id="quantopian-quandl-wiki-mirror">
<span id="quantopian-quandl-mirror"></span><h4>Quantopian Quandl WIKI Mirror<a class="headerlink" href="#quantopian-quandl-wiki-mirror" title="Permalink to this headline"></a></h4>
<p>Quantopian provides a mirror of the quandl WIKI dataset with the data in the
formats that zipline expects. This is available under the name:
<code class="docutils literal"><span class="pre">quantopian-quandl</span></code> and is the default bundle for zipline.</p>
</div>
</div>
<div class="section" id="yahoo-bundle-factories">
<h3>Yahoo Bundle Factories<a class="headerlink" href="#yahoo-bundle-factories" title="Permalink to this headline"></a></h3>
<p>Zipline also ships with a factory function for creating a data bundle out of a
set of tickers from yahoo: <code class="xref py py-func docutils literal"><span class="pre">yahoo_equities()</span></code>.
<code class="xref py py-func docutils literal"><span class="pre">yahoo_equities()</span></code> makes it easy to pre-download and
cache the data for a set of equities from yahoo. The yahoo bundles include daily
pricing data along with splits, cash dividends, and inferred asset metadata. To
create a bundle from a set of equities, add the following to your
<code class="docutils literal"><span class="pre">~/.zipline/extensions.py</span></code> file:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="kn">from</span> <span class="nn">zipline.data.bundles</span> <span class="kn">import</span> <span class="n">register</span><span class="p">,</span> <span class="n">yahoo_equities</span>
<span class="c"># these are the tickers you would like data for</span>
<span class="n">equities</span> <span class="o">=</span> <span class="p">{</span>
<span class="s">&#39;AAPL&#39;</span><span class="p">,</span>
<span class="s">&#39;MSFT&#39;</span><span class="p">,</span>
<span class="s">&#39;GOOG&#39;</span><span class="p">,</span>
<span class="p">}</span>
<span class="n">register</span><span class="p">(</span>
<span class="s">&#39;my-yahoo-equities-bundle&#39;</span><span class="p">,</span> <span class="c"># name this whatever you like</span>
<span class="n">yahoo_equities</span><span class="p">(</span><span class="n">equities</span><span class="p">),</span>
<span class="p">)</span>
</pre></div>
</div>
<p>This may now be used like:</p>
<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>zipline ingest -b my-yahoo-equities-bundle
<span class="nv">$ </span>zipline run -f algo.py --bundle my-yahoo-equities-bundle
</pre></div>
</div>
<p>More than one yahoo equities bundle may be registered as long as they use
different names.</p>
</div>
</div>
<div class="section" id="writing-a-new-bundle">
<h2>Writing a New Bundle<a class="headerlink" href="#writing-a-new-bundle" title="Permalink to this headline"></a></h2>
<p>Data bundles exist to make it easy to use different data sources with
zipline. To add a new bundle, one must implement an <code class="docutils literal"><span class="pre">ingest</span></code> function.</p>
<p>The <code class="docutils literal"><span class="pre">ingest</span></code> function is responsible for loading the data into memory and
passing it to a set of writer objects provided by zipline to convert the data to
zipline&#8217;s internal format. The ingest function may work by downloading data from
a remote location like the <code class="docutils literal"><span class="pre">quandl</span></code> bundle or yahoo bundles or it may just
load files that are already on the machine. The function is provided with
writers that will write the data to the correct location transactionally. If an
ingestion fails part way through the bundle will not be written in an incomplete
state.</p>
<p>The signature of the ingest function should be:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">ingest</span><span class="p">(</span><span class="n">environ</span><span class="p">,</span>
<span class="n">asset_db_writer</span><span class="p">,</span>
<span class="n">minute_bar_writer</span><span class="p">,</span>
<span class="n">daily_bar_writer</span><span class="p">,</span>
<span class="n">adjustment_writer</span><span class="p">,</span>
<span class="n">calendar</span><span class="p">,</span>
<span class="n">start_session</span><span class="p">,</span>
<span class="n">end_session</span><span class="p">,</span>
<span class="n">cache</span><span class="p">,</span>
<span class="n">show_progress</span><span class="p">,</span>
<span class="n">output_dir</span><span class="p">)</span>
</pre></div>
</div>
<div class="section" id="environ">
<h3><code class="docutils literal"><span class="pre">environ</span></code><a class="headerlink" href="#environ" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">environ</span></code> is a mapping representing the environment variables to use. This is
where any custom arguments needed for the ingestion should be passed, for
example: the <code class="docutils literal"><span class="pre">quandl</span></code> bundle uses the enviornment to pass the API key and the
download retry attempt count.</p>
</div>
<div class="section" id="asset-db-writer">
<h3><code class="docutils literal"><span class="pre">asset_db_writer</span></code><a class="headerlink" href="#asset-db-writer" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">asset_db_writer</span></code> is an instance of <code class="xref py py-class docutils literal"><span class="pre">AssetDBWriter</span></code>.
This is the writer for the asset metadata which provides the asset lifetimes and
the symbol to asset id (sid) mapping. This may also contain the asset name,
exchange and a few other columns. To write data, invoke
<code class="xref py py-meth docutils literal"><span class="pre">write()</span></code> with dataframes for the various
pieces of metadata. More information about the format of the data exists in the
docs for write.</p>
</div>
<div class="section" id="minute-bar-writer">
<h3><code class="docutils literal"><span class="pre">minute_bar_writer</span></code><a class="headerlink" href="#minute-bar-writer" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">minute_bar_writer</span></code> is an instance of
<code class="xref py py-class docutils literal"><span class="pre">BcolzMinuteBarWriter</span></code>. This writer is used to
convert data to zipline&#8217;s internal bcolz format to later be read by a
<code class="xref py py-class docutils literal"><span class="pre">BcolzMinuteBarReader</span></code>. If minute data is
provided, users should call
<code class="xref py py-meth docutils literal"><span class="pre">write()</span></code> with an iterable of
(sid, dataframe) tuples. The <code class="docutils literal"><span class="pre">show_progress</span></code> argument should also be forwarded
to this method. If the data source does not provide minute level data, then
there is no need to call the write method. It is also acceptable to pass an
empty iterator to <code class="xref py py-meth docutils literal"><span class="pre">write()</span></code>
to signal that there is no minutely data.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">The data passed to
<code class="xref py py-meth docutils literal"><span class="pre">write()</span></code> may be a lazy
iterator or generator to avoid loading all of the minute data into memory at
a single time. A given sid may also appear multiple times in the data as long
as the dates are strictly increasing.</p>
</div>
</div>
<div class="section" id="daily-bar-writer">
<h3><code class="docutils literal"><span class="pre">daily_bar_writer</span></code><a class="headerlink" href="#daily-bar-writer" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">daily_bar_writer</span></code> is an instance of
<code class="xref py py-class docutils literal"><span class="pre">BcolzDailyBarWriter</span></code>. This writer is
used to convert data into zipline&#8217;s internal bcolz format to later be read by a
<code class="xref py py-class docutils literal"><span class="pre">BcolzDailyBarReader</span></code>. If daily data is
provided, users should call
<code class="xref py py-meth docutils literal"><span class="pre">write()</span></code> with an iterable of
(sid dataframe) tuples. The <code class="docutils literal"><span class="pre">show_progress</span></code> argument should also be forwarded
to this method. If the data shource does not provide daily data, then there is
no need to call the write method. It is also acceptable to pass an empty
iterable to <code class="xref py py-meth docutils literal"><span class="pre">write()</span></code> to
signal that there is no daily data. If no daily data is provided but minute data
is provided, a daily rollup will happen to service daily history requests.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">Like the <code class="docutils literal"><span class="pre">minute_bar_writer</span></code>, the data passed to
<code class="xref py py-meth docutils literal"><span class="pre">write()</span></code> may be a lazy
iterable or generator to avoid loading all of the data into memory at once.
Unlike the <code class="docutils literal"><span class="pre">minute_bar_writer</span></code>, a sid may only appear once in the data
iterable.</p>
</div>
</div>
<div class="section" id="adjustment-writer">
<h3><code class="docutils literal"><span class="pre">adjustment_writer</span></code><a class="headerlink" href="#adjustment-writer" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">adjustment_writer</span></code> is an instance of
<code class="xref py py-class docutils literal"><span class="pre">SQLiteAdjustmentWriter</span></code>. This writer is
used to store splits, mergers, dividends, and stock dividends. The data should
be provided as dataframes and passed to
<code class="xref py py-meth docutils literal"><span class="pre">write()</span></code>. Each of
these fields are optional, but the writer can accept as much of the data as you
have.</p>
</div>
<div class="section" id="calendar">
<h3><code class="docutils literal"><span class="pre">calendar</span></code><a class="headerlink" href="#calendar" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">calendar</span></code> is an instance of
<code class="xref py py-class docutils literal"><span class="pre">zipline.utils.calendars.TradingCalendar</span></code>. The calendar is provided to
help some bundles generate queries for the days needed.</p>
</div>
<div class="section" id="start-session">
<h3><code class="docutils literal"><span class="pre">start_session</span></code><a class="headerlink" href="#start-session" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">start_session</span></code> is a <code class="xref py py-class docutils literal"><span class="pre">pandas.Timestamp</span></code> object indicating the first
day that the bundle should load data for.</p>
</div>
<div class="section" id="end-session">
<h3><code class="docutils literal"><span class="pre">end_session</span></code><a class="headerlink" href="#end-session" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">end_session</span></code> is a <code class="xref py py-class docutils literal"><span class="pre">pandas.Timestamp</span></code> object indicating the last day
that the bundle should load data for.</p>
</div>
<div class="section" id="cache">
<h3><code class="docutils literal"><span class="pre">cache</span></code><a class="headerlink" href="#cache" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">cache</span></code> is an instance of <code class="xref py py-class docutils literal"><span class="pre">dataframe_cache</span></code>. This
object is a mapping from strings to dataframes. This object is provided in case
an ingestion crashes part way through. The idea is that the ingest function
should check the cache for raw data, if it doesn&#8217;t exist in the cache, it should
acquire it and then store it in the cache. Then it can parse and write the
data. The cache will be cleared only after a successful load, this prevents the
ingest function from needing to redownload all the data if there is some bug in
the parsing. If it is very fast to get the data, for example if it is coming
from another local file, then there is no need to use this cache.</p>
</div>
<div class="section" id="show-progress">
<h3><code class="docutils literal"><span class="pre">show_progress</span></code><a class="headerlink" href="#show-progress" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">show_progress</span></code> is a boolean indicating that the user would like to receive
feedback about the ingest function&#8217;s progress fetching and writing the
data. Some examples for where to show how many files you have downloaded out of
the total needed, or how far into some data conversion the ingest function
is. One tool that may help with implementing <code class="docutils literal"><span class="pre">show_progress</span></code> for a loop is
<code class="xref py py-class docutils literal"><span class="pre">maybe_show_progress</span></code>. This argument should always be
forwarded to <code class="docutils literal"><span class="pre">minute_bar_writer.write</span></code> and <code class="docutils literal"><span class="pre">daily_bar_writer.write</span></code>.</p>
</div>
<div class="section" id="output-dir">
<h3><code class="docutils literal"><span class="pre">output_dir</span></code><a class="headerlink" href="#output-dir" title="Permalink to this headline"></a></h3>
<p><code class="docutils literal"><span class="pre">output_dir</span></code> is a string representing the file path where all the data will be
written. <code class="docutils literal"><span class="pre">output_dir</span></code> will be some subdirectory of <code class="docutils literal"><span class="pre">$ZIPLINE_ROOT</span></code> and will
contain the time of the start of the current ingestion. This can be used to
directly move resources here if for some reason your ingest function can produce
it&#8217;s own outputs without the writers. For example, the <code class="docutils literal"><span class="pre">quantopian:quandl</span></code>
bundle uses this to directly untar the bundle into the <code class="docutils literal"><span class="pre">output_dir</span></code>.</p>
</div>
</div>
</div>
</div>
<footer>
<div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
<a href="development-guidelines.html" class="btn btn-neutral float-right" title="Development Guidelines" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
<a href="beginner-tutorial.html" class="btn btn-neutral" title="Zipline Beginner Tutorial" accesskey="p"><span class="fa fa-arrow-circle-left"></span> Previous</a>
</div>
<hr/>
<div role="contentinfo">
<p>
&copy; Copyright 2017, Enigma MPC, Inc..
</p>
</div>
Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/snide/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>.
</footer>
</div>
</div>
</section>
</div>
<script type="text/javascript">
var DOCUMENTATION_OPTIONS = {
URL_ROOT:'./',
VERSION:'0.3',
COLLAPSE_INDEX:false,
FILE_SUFFIX:'.html',
HAS_SOURCE: true
};
</script>
<script type="text/javascript" src="_static/jquery.js"></script>
<script type="text/javascript" src="_static/underscore.js"></script>
<script type="text/javascript" src="_static/doctools.js"></script>
<script type="text/javascript" src="_static/js/theme.js"></script>
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.StickyNav.enable();
});
</script>
</body>
</html>
catalyst/__init__.py
-86
View File
@@ -1,86 +0,0 @@
#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
# This is *not* a place to dump arbitrary classes/modules for convenience,
# it is a place to expose the public interfaces.
from . import data
from . import finance
from . import gens
from . import utils
from .utils.calendars import get_calendar
from .utils.run_algo import run_algorithm
from ._version import get_versions
# These need to happen after the other imports.
from . algorithm import TradingAlgorithm
from . import api
# PERF: Fire a warning if calendars were instantiated during catalyst import.
# Having calendars doesn't break anything per-se, but it makes catalyst imports
# noticeably slower, which becomes particularly noticeable in the Zipline CLI.
from catalyst.utils.calendars.calendar_utils import global_calendar_dispatcher
if global_calendar_dispatcher._calendars:
import warnings
warnings.warn(
"Found TradingCalendar instances after catalyst import.\n"
"Zipline startup will be much slower until this is fixed!",
)
del warnings
del global_calendar_dispatcher
__version__ = get_versions()['version']
del get_versions
def load_ipython_extension(ipython):
from .__main__ import catalyst_magic
ipython.register_magic_function(catalyst_magic, 'line_cell', 'catalyst')
if os.name == 'nt':
# we need to be able to write to our temp directoy on windows so we
# create a subdir in %TMP% that has write access and use that as %TMP%
def _():
import atexit
import tempfile
tempfile.tempdir = tempdir = tempfile.mkdtemp()
@atexit.register
def cleanup_tempdir():
import shutil
shutil.rmtree(tempdir)
_()
del _
__all__ = [
'TradingAlgorithm',
'api',
'data',
'finance',
'get_calendar',
'gens',
'run_algorithm',
'utils',
]
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
catalyst/__main__.py
-636
View File
@@ -1,636 +0,0 @@
import errno
import os
from functools import wraps
import click
import logbook
import pandas as pd
from six import text_type
from catalyst.data import bundles as bundles_module
from catalyst.exchange.exchange_bundle import ExchangeBundle
from catalyst.exchange.init_utils import get_exchange
from catalyst.utils.cli import Date, Timestamp
from catalyst.utils.run_algo import _run, load_extensions
try:
__IPYTHON__
except NameError:
__IPYTHON__ = False
@click.group()
@click.option(
'-e',
'--extension',
multiple=True,
help='File or module path to a catalyst extension to load.',
)
@click.option(
'--strict-extensions/--non-strict-extensions',
is_flag=True,
help='If --strict-extensions is passed then catalyst will not run if it'
' cannot load all of the specified extensions. If this is not passed or'
' --non-strict-extensions is passed then the failure will be logged but'
' execution will continue.',
)
@click.option(
'--default-extension/--no-default-extension',
is_flag=True,
default=True,
help="Don't load the default catalyst extension.py file in $ZIPLINE_HOME.",
)
@click.version_option()
def main(extension, strict_extensions, default_extension):
"""Top level catalyst entry point.
"""
# install a logbook handler before performing any other operations
logbook.StderrHandler().push_application()
load_extensions(
default_extension,
extension,
strict_extensions,
os.environ,
)
def extract_option_object(option):
"""Convert a click.option call into a click.Option object.
Parameters
----------
option : decorator
A click.option decorator.
Returns
-------
option_object : click.Option
The option object that this decorator will create.
"""
@option
def opt():
pass
return opt.__click_params__[0]
def ipython_only(option):
"""Mark that an option should only be exposed in IPython.
Parameters
----------
option : decorator
A click.option decorator.
Returns
-------
ipython_only_dec : decorator
A decorator that correctly applies the argument even when not
using IPython mode.
"""
if __IPYTHON__:
return option
argname = extract_option_object(option).name
def d(f):
@wraps(f)
def _(*args, **kwargs):
kwargs[argname] = None
return f(*args, **kwargs)
return _
return d
@main.command()
@click.option(
'-f',
'--algofile',
default=None,
type=click.File('r'),
help='The file that contains the algorithm to run.',
)
@click.option(
'-t',
'--algotext',
help='The algorithm script to run.',
)
@click.option(
'-D',
'--define',
multiple=True,
help="Define a name to be bound in the namespace before executing"
" the algotext. For example '-Dname=value'. The value may be any python"
" expression. These are evaluated in order so they may refer to previously"
" defined names.",
)
@click.option(
'--data-frequency',
type=click.Choice({'daily', 'minute'}),
default='daily',
show_default=True,
help='The data frequency of the simulation.',
)
@click.option(
'--capital-base',
type=float,
default=10e6,
show_default=True,
help='The starting capital for the simulation.',
)
@click.option(
'-b',
'--bundle',
default='poloniex',
metavar='BUNDLE-NAME',
show_default=True,
help='The data bundle to use for the simulation.',
)
@click.option(
'--bundle-timestamp',
type=Timestamp(),
default=pd.Timestamp.utcnow(),
show_default=False,
help='The date to lookup data on or before.\n'
'[default: <current-time>]'
)
@click.option(
'-s',
'--start',
type=Date(tz='utc', as_timestamp=True),
help='The start date of the simulation.',
)
@click.option(
'-e',
'--end',
type=Date(tz='utc', as_timestamp=True),
help='The end date of the simulation.',
)
@click.option(
'-o',
'--output',
default='-',
metavar='FILENAME',
show_default=True,
help="The location to write the perf data. If this is '-' the perf will"
" be written to stdout.",
)
@click.option(
'--print-algo/--no-print-algo',
is_flag=True,
default=False,
help='Print the algorithm to stdout.',
)
@ipython_only(click.option(
'--local-namespace/--no-local-namespace',
is_flag=True,
default=None,
help='Should the algorithm methods be resolved in the local namespace.'
))
@click.option(
'-x',
'--exchange-name',
type=click.Choice({'bitfinex', 'bittrex', 'poloniex'}),
help='The name of the targeted exchange (supported: bitfinex, bittrex, poloniex).',
)
@click.option(
'-n',
'--algo-namespace',
help='A label assigned to the algorithm for data storage purposes.'
)
@click.option(
'-c',
'--base-currency',
help='The base currency used to calculate statistics '
'(e.g. usd, btc, eth).',
)
@click.pass_context
def run(ctx,
algofile,
algotext,
define,
data_frequency,
capital_base,
bundle,
bundle_timestamp,
start,
end,
output,
print_algo,
local_namespace,
exchange_name,
algo_namespace,
base_currency):
"""Run a backtest for the given algorithm.
"""
if (algotext is not None) == (algofile is not None):
ctx.fail(
"must specify exactly one of '-f' / '--algofile' or"
" '-t' / '--algotext'",
)
# check that the start and end dates are passed correctly
if start is None and end is None:
# check both at the same time to avoid the case where a user
# does not pass either of these and then passes the first only
# to be told they need to pass the second argument also
ctx.fail(
"must specify dates with '-s' / '--start' and '-e' / '--end'",
)
if start is None:
ctx.fail("must specify a start date with '-s' / '--start'")
if end is None:
ctx.fail("must specify an end date with '-e' / '--end'")
if exchange_name is None:
ctx.fail("must specify an exchange name '-x'")
perf = _run(
initialize=None,
handle_data=None,
before_trading_start=None,
analyze=None,
algofile=algofile,
algotext=algotext,
defines=define,
data_frequency=data_frequency,
capital_base=capital_base,
data=None,
bundle=bundle,
bundle_timestamp=bundle_timestamp,
start=start,
end=end,
output=output,
print_algo=print_algo,
local_namespace=local_namespace,
environ=os.environ,
live=False,
exchange=exchange_name,
algo_namespace=algo_namespace,
base_currency=base_currency,
live_graph=False
)
if output == '-':
click.echo(str(perf))
elif output != os.devnull: # make the catalyst magic not write any data
perf.to_pickle(output)
return perf
def catalyst_magic(line, cell=None):
"""The catalyst IPython cell magic.
"""
load_extensions(
default=True,
extensions=[],
strict=True,
environ=os.environ,
)
try:
return run.main(
# put our overrides at the start of the parameter list so that
# users may pass values with higher precedence
[
'--algotext', cell,
'--output', os.devnull, # don't write the results by default
] + ([
# these options are set when running in line magic mode
# set a non None algo text to use the ipython user_ns
'--algotext', '',
'--local-namespace',
] if cell is None else []) + line.split(),
'%s%%catalyst' % ((cell or '') and '%'),
# don't use system exit and propogate errors to the caller
standalone_mode=False,
)
except SystemExit as e:
# https://github.com/mitsuhiko/click/pull/533
# even in standalone_mode=False `--help` really wants to kill us ;_;
if e.code:
raise ValueError('main returned non-zero status code: %d' % e.code)
@main.command()
@click.option(
'-f',
'--algofile',
default=None,
type=click.File('r'),
help='The file that contains the algorithm to run.',
)
@click.option(
'-t',
'--algotext',
help='The algorithm script to run.',
)
@click.option(
'-D',
'--define',
multiple=True,
help="Define a name to be bound in the namespace before executing"
" the algotext. For example '-Dname=value'. The value may be any python"
" expression. These are evaluated in order so they may refer to previously"
" defined names.",
)
@click.option(
'-o',
'--output',
default='-',
metavar='FILENAME',
show_default=True,
help="The location to write the perf data. If this is '-' the perf will"
" be written to stdout.",
)
@click.option(
'--print-algo/--no-print-algo',
is_flag=True,
default=False,
help='Print the algorithm to stdout.',
)
@ipython_only(click.option(
'--local-namespace/--no-local-namespace',
is_flag=True,
default=None,
help='Should the algorithm methods be resolved in the local namespace.'
))
@click.option(
'-x',
'--exchange-name',
type=click.Choice({'bitfinex', 'bittrex', 'poloniex'}),
help='The name of the targeted exchange (supported: bitfinex, bittrex, poloniex).',
)
@click.option(
'-n',
'--algo-namespace',
help='A label assigned to the algorithm for data storage purposes.'
)
@click.option(
'-c',
'--base-currency',
help='The base currency used to calculate statistics '
'(e.g. usd, btc, eth).',
)
@click.option(
'--live-graph/--no-live-graph',
is_flag=True,
default=False,
help='Display live graph.',
)
@click.pass_context
def live(ctx,
algofile,
algotext,
define,
output,
print_algo,
local_namespace,
exchange_name,
algo_namespace,
base_currency,
live_graph):
"""Trade live with the given algorithm.
"""
if (algotext is not None) == (algofile is not None):
ctx.fail(
"must specify exactly one of '-f' / '--algofile' or"
" '-t' / '--algotext'",
)
if exchange_name is None:
ctx.fail("must specify an exchange name '-x'")
if algo_namespace is None:
ctx.fail("must specify an algorithm name '-n' in live execution mode")
if base_currency is None:
ctx.fail("must specify a base currency '-c' in live execution mode")
perf = _run(
initialize=None,
handle_data=None,
before_trading_start=None,
analyze=None,
algofile=algofile,
algotext=algotext,
defines=define,
data_frequency=None,
capital_base=None,
data=None,
bundle=None,
bundle_timestamp=None,
start=None,
end=None,
output=output,
print_algo=print_algo,
local_namespace=local_namespace,
environ=os.environ,
live=True,
exchange=exchange_name,
algo_namespace=algo_namespace,
base_currency=base_currency,
live_graph=live_graph
)
if output == '-':
click.echo(str(perf))
elif output != os.devnull: # make the catalyst magic not write any data
perf.to_pickle(output)
return perf
@main.command(name='ingest-exchange')
@click.option(
'-x',
'--exchange-name',
type=click.Choice({'bitfinex', 'bittrex', 'poloniex'}),
help='The name of the exchange bundle to ingest (supported: bitfinex,'
' bittrex, poloniex).',
)
@click.option(
'-f',
'--data-frequency',
type=click.Choice({'daily', 'minute', 'daily,minute', 'minute,daily'}),
default='daily',
show_default=True,
help='The data frequency of the desired OHLCV bars.',
)
@click.option(
'-s',
'--start',
default=None,
type=Date(tz='utc', as_timestamp=True),
help='The start date of the data range. (default: one year from end date)',
)
@click.option(
'-e',
'--end',
default=None,
type=Date(tz='utc', as_timestamp=True),
help='The end date of the data range. (default: today)',
)
@click.option(
'-i',
'--include-symbols',
default=None,
help='A list of symbols to ingest (optional comma separated list)',
)
@click.option(
'--exclude-symbols',
default=None,
help='A list of symbols to exclude from the ingestion '
'(optional comma separated list)',
)
@click.option(
'--show-progress/--no-show-progress',
default=True,
help='Print progress information to the terminal.'
)
def ingest_exchange(exchange_name, data_frequency, start, end,
include_symbols, exclude_symbols, show_progress):
"""
Ingest data for the given exchange.
"""
exchange = get_exchange(exchange_name)
exchange_bundle = ExchangeBundle(exchange)
click.echo('ingesting exchange bundle {}'.format(exchange_name))
exchange_bundle.ingest(
data_frequency=data_frequency,
include_symbols=include_symbols,
exclude_symbols=exclude_symbols,
start=start,
end=end,
show_progress=show_progress
)
@main.command()
@click.option(
'-b',
'--bundle',
metavar='BUNDLE-NAME',
default=None,
show_default=False,
help='The data bundle to ingest.',
)
@click.option(
'-x',
'--exchange-name',
type=click.Choice({'bitfinex', 'bittrex', 'poloniex'}),
help='The name of the exchange bundle to ingest (supported: bitfinex,'
' bittrex, poloniex).',
)
@click.option(
'-c',
'--compile-locally',
is_flag=True,
default=False,
help='Download dataset from source and compile bundle locally.',
)
@click.option(
'--assets-version',
type=int,
multiple=True,
help='Version of the assets db to which to downgrade.',
)
@click.option(
'--show-progress/--no-show-progress',
default=True,
help='Print progress information to the terminal.'
)
@click.pass_context
def ingest(ctx, bundle, exchange_name, compile_locally, assets_version,
show_progress):
"""Ingest the data for the given bundle.
"""
bundles_module.ingest(
bundle,
os.environ,
pd.Timestamp.utcnow(),
assets_version,
show_progress,
compile_locally,
)
@main.command()
@click.option(
'-b',
'--bundle',
default='poloniex',
metavar='BUNDLE-NAME',
show_default=True,
help='The data bundle to clean.',
)
@click.option(
'-x',
'--exchange_name',
metavar='EXCHANGE-NAME',
show_default=True,
help='The exchange bundle name to clean.',
)
@click.option(
'-e',
'--before',
type=Timestamp(),
help='Clear all data before TIMESTAMP.'
' This may not be passed with -k / --keep-last',
)
@click.option(
'-a',
'--after',
type=Timestamp(),
help='Clear all data after TIMESTAMP'
' This may not be passed with -k / --keep-last',
)
@click.option(
'-k',
'--keep-last',
type=int,
metavar='N',
help='Clear all but the last N downloads.'
' This may not be passed with -e / --before or -a / --after',
)
def clean(bundle, before, after, keep_last):
"""Clean up data downloaded with the ingest command.
"""
bundles_module.clean(
bundle,
before,
after,
keep_last,
)
@main.command()
def bundles():
"""List all of the available data bundles.
"""
for bundle in sorted(bundles_module.bundles.keys()):
if bundle.startswith('.'):
# hide the test data
continue
try:
ingestions = list(
map(text_type, bundles_module.ingestions_for_bundle(bundle))
)
except OSError as e:
if e.errno != errno.ENOENT:
raise
ingestions = []
# If we got no ingestions, either because the directory didn't exist or
# because there were no entries, print a single message indicating that
# no ingestions have yet been made.
for timestamp in ingestions or ["<no ingestions>"]:
click.echo("%s %s" % (bundle, timestamp))
if __name__ == '__main__':
main()
catalyst/_protocol.pyx
-936
View File
@@ -1,936 +0,0 @@
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import warnings
from contextlib import contextmanager
from functools import wraps
from pandas.tslib import normalize_date
import pandas as pd
import numpy as np
from six import iteritems, PY2, string_types
from cpython cimport bool
from collections import Iterable
from catalyst.assets import (Asset,
AssetConvertible,
PricingDataAssociable,
Future)
from catalyst.assets.continuous_futures import ContinuousFuture
from catalyst.catalyst_warnings import ZiplineDeprecationWarning
cdef bool _is_iterable(obj):
return isinstance(obj, Iterable) and not isinstance(obj, string_types)
# Wraps doesn't work for method objects in python2. Docs should be generated
# with python3 so it is not a big deal.
if PY2:
def no_wraps_py2(f):
def dec(g):
return g
return dec
else:
no_wraps_py2 = wraps
cdef class check_parameters(object):
"""
Asserts that the keywords passed into the wrapped function are included
in those passed into this decorator. If not, raise a TypeError with a
meaningful message, unlike the one Cython returns by default.
Also asserts that the arguments passed into the wrapped function are
consistent with the types passed into this decorator. If not, raise a
TypeError with a meaningful message.
"""
cdef tuple keyword_names
cdef tuple types
cdef dict keys_to_types
def __init__(self, keyword_names, types):
self.keyword_names = keyword_names
self.types = types
self.keys_to_types = dict(zip(keyword_names, types))
def __call__(self, func):
@no_wraps_py2(func)
def assert_keywords_and_call(*args, **kwargs):
cdef short i
# verify all the keyword arguments
for field in kwargs:
if field not in self.keyword_names:
raise TypeError("%s() got an unexpected keyword argument"
" '%s'" % (func.__name__, field))
# verify type of each argument
for i, arg in enumerate(args[1:]):
expected_type = self.types[i]
if (i == 0 or i == 1) and _is_iterable(arg):
if len(arg) == 0:
continue
arg = arg[0]
if not isinstance(arg, expected_type):
expected_type_name = expected_type.__name__ \
if not _is_iterable(expected_type) \
else ', '.join([type_.__name__ for type_ in expected_type])
raise TypeError("Expected %s argument to be of type %s%s" %
(self.keyword_names[i],
'or iterable of type ' if i in (0, 1) else '',
expected_type_name)
)
# verify type of each kwarg
for keyword, arg in iteritems(kwargs):
if keyword in ('assets', 'fields') and _is_iterable(arg):
if len(arg) == 0:
continue
arg = arg[0]
if not isinstance(arg, self.keys_to_types[keyword]):
expected_type = self.keys_to_types[keyword].__name__ \
if not _is_iterable(self.keys_to_types[keyword]) \
else ', '.join([type_.__name__ for type_ in
self.keys_to_types[keyword]])
raise TypeError("Expected %s argument to be of type %s%s" %
(keyword,
'or iterable of type ' if keyword in
('assets', 'fields') else '',
expected_type)
)
return func(*args, **kwargs)
return assert_keywords_and_call
@contextmanager
def handle_non_market_minutes(bar_data):
try:
bar_data._handle_non_market_minutes = True
yield
finally:
bar_data._handle_non_market_minutes = False
cdef class BarData:
"""
Provides methods to access spot value or history windows of price data.
Also provides some utility methods to determine if an asset is alive,
has recent trade data, etc.
This is what is passed as ``data`` to the ``handle_data`` function.
Parameters
----------
data_portal : DataPortal
Provider for bar pricing data.
simulation_dt_func : callable
Function which returns the current simulation time.
This is usually bound to a method of TradingSimulation.
data_frequency : {'minute', 'daily'}
The frequency of the bar data; i.e. whether the data is
daily or minute bars
restrictions : catalyst.finance.asset_restrictions.Restrictions
Object that combines and returns restricted list information from
multiple sources
universe_func : callable, optional
Function which returns the current 'universe'. This is for
backwards compatibility with older API concepts.
"""
cdef object data_portal
cdef object simulation_dt_func
cdef object data_frequency
cdef object restrictions
cdef dict _views
cdef object _universe_func
cdef object _last_calculated_universe
cdef object _universe_last_updated_at
cdef bool _daily_mode
cdef object _trading_calendar
cdef object _is_restricted
cdef bool _adjust_minutes
def __init__(self, data_portal, simulation_dt_func, data_frequency,
trading_calendar, restrictions, universe_func=None):
self.data_portal = data_portal
self.simulation_dt_func = simulation_dt_func
self.data_frequency = data_frequency
self._views = {}
self._daily_mode = (self.data_frequency == "daily")
self._universe_func = universe_func
self._last_calculated_universe = None
self._universe_last_updated_at = None
self._adjust_minutes = False
self._trading_calendar = trading_calendar
self._is_restricted = restrictions.is_restricted
cdef _get_equity_price_view(self, asset):
"""
Returns a DataPortalSidView for the given asset. Used to support the
data[sid(N)] public API. Not needed if DataPortal is used standalone.
Parameters
----------
asset : Asset
Asset that is being queried.
Returns
-------
SidView : Accessor into the given asset's data.
"""
try:
self._warn_deprecated("`data[sid(N)]` is deprecated. Use "
"`data.current`.")
view = self._views[asset]
except KeyError:
try:
asset = self.data_portal.asset_finder.retrieve_asset(asset)
except ValueError:
# assume fetcher
pass
view = self._views[asset] = self._create_sid_view(asset)
return view
cdef _create_sid_view(self, asset):
return SidView(
asset,
self.data_portal,
self.simulation_dt_func,
self.data_frequency
)
cdef _get_current_minute(self):
"""
Internal utility method to get the current simulation time.
Possible answers are:
- whatever the algorithm's get_datetime() method returns (this is what
`self.simulation_dt_func()` points to)
- sometimes we're knowingly not in a market minute, like if we're in
before_trading_start. In that case, `self._adjust_minutes` is
True, and we get the previous market minute.
- if we're in daily mode, get the session label for this minute.
"""
dt = self.simulation_dt_func()
if self._adjust_minutes:
dt = \
self.data_portal.trading_calendar.previous_minute(dt)
if self._daily_mode:
# if we're in daily mode, take the given dt (which is the last
# minute of the session) and get the session label for it.
dt = self.data_portal.trading_calendar.minute_to_session_label(dt)
return dt
@check_parameters(('assets', 'fields'),
((Asset, ContinuousFuture) + string_types, string_types))
def current(self, assets, fields):
"""
Returns the current value of the given assets for the given fields
at the current simulation time. Current values are the as-traded price
and are usually not adjusted for events like splits or dividends (see
notes for more information).
Parameters
----------
assets : Asset or iterable of Assets
fields : str or iterable[str].
Valid values are: "price",
"last_traded", "open", "high", "low", "close", "volume", or column
names in files read by ``fetch_csv``.
Returns
-------
current_value : Scalar, pandas Series, or pandas DataFrame.
See notes below.
Notes
-----
If a single asset and a single field are passed in, a scalar float
value is returned.
If a single asset and a list of fields are passed in, a pandas Series
is returned whose indices are the fields, and whose values are scalar
values for this asset for each field.
If a list of assets and a single field are passed in, a pandas Series
is returned whose indices are the assets, and whose values are scalar
values for each asset for the given field.
If a list of assets and a list of fields are passed in, a pandas
DataFrame is returned, indexed by asset. The columns are the requested
fields, filled with the scalar values for each asset for each field.
If the current simulation time is not a valid market time, we use the
last market close instead.
"price" returns the last known close price of the asset. If there is
no last known value (either because the asset has never traded, or
because it has delisted) NaN is returned. If a value is found, and we
had to cross an adjustment boundary (split, dividend, etc) to get it,
the value is adjusted before being returned.
"last_traded" returns the date of the last trade event of the asset,
even if the asset has stopped trading. If there is no last known value,
pd.NaT is returned.
"volume" returns the trade volume for the current simulation time. If
there is no trade this minute, 0 is returned.
"open", "high", "low", and "close" return the relevant information for
the current trade bar. If there is no current trade bar, NaN is
returned.
"""
multiple_assets = _is_iterable(assets)
multiple_fields = _is_iterable(fields)
# There's some overly verbose code in here, particularly around
# 'do something if self._adjust_minutes is False, otherwise do
# something else'. This could be less verbose, but the 99% case is that
# `self._adjust_minutes` is False, so it's important to keep that code
# path as fast as possible.
# There's probably a way to make this method (and `history`) less
# verbose, but this is OK for now.
if not multiple_assets:
asset = assets
if not multiple_fields:
field = fields
# return scalar value
if not self._adjust_minutes:
return self.data_portal.get_spot_value(
asset,
field,
self._get_current_minute(),
self.data_frequency
)
else:
return self.data_portal.get_adjusted_value(
asset,
field,
self._get_current_minute(),
self.simulation_dt_func(),
self.data_frequency
)
else:
# assume fields is iterable
# return a Series indexed by field
if not self._adjust_minutes:
return pd.Series(data={
field: self.data_portal.get_spot_value(
asset,
field,
self._get_current_minute(),
self.data_frequency
)
for field in fields
}, index=fields, name=assets.symbol)
else:
return pd.Series(data={
field: self.data_portal.get_adjusted_value(
asset,
field,
self._get_current_minute(),
self.simulation_dt_func(),
self.data_frequency
)
for field in fields
}, index=fields, name=assets.symbol)
else:
if not multiple_fields:
field = fields
# assume assets is iterable
# return a Series indexed by asset
if not self._adjust_minutes:
return pd.Series(data={
asset: self.data_portal.get_spot_value(
asset,
field,
self._get_current_minute(),
self.data_frequency
)
for asset in assets
}, index=assets, name=fields)
else:
return pd.Series(data={
asset: self.data_portal.get_adjusted_value(
asset,
field,
self._get_current_minute(),
self.simulation_dt_func(),
self.data_frequency
)
for asset in assets
}, index=assets, name=fields)
else:
# both assets and fields are iterable
data = {}
if not self._adjust_minutes:
for field in fields:
series = pd.Series(data={
asset: self.data_portal.get_spot_value(
asset,
field,
self._get_current_minute(),
self.data_frequency
)
for asset in assets
}, index=assets, name=field)
data[field] = series
else:
for field in fields:
series = pd.Series(data={
asset: self.data_portal.get_adjusted_value(
asset,
field,
self._get_current_minute(),
self.simulation_dt_func(),
self.data_frequency
)
for asset in assets
}, index=assets, name=field)
data[field] = series
return pd.DataFrame(data)
@check_parameters(('continuous_future',),
(ContinuousFuture,))
def current_chain(self, continuous_future):
return self.data_portal.get_current_future_chain(
continuous_future,
self.simulation_dt_func())
@check_parameters(('assets',), (Asset,))
def can_trade(self, assets):
"""
For the given asset or iterable of assets, returns true if all of the
following are true:
1) the asset is alive for the session of the current simulation time
(if current simulation time is not a market minute, we use the next
session)
2) (if we are in minute mode) the asset's exchange is open at the
current simulation time or at the simulation calendar's next market
minute
3) there is a known last price for the asset.
Notes
-----
The second condition above warrants some further explanation.
- If the asset's exchange calendar is identical to the simulation
calendar, then this condition always returns True.
- If there are market minutes in the simulation calendar outside of
this asset's exchange's trading hours (for example, if the simulation
is running on the CME calendar but the asset is MSFT, which trades on
the NYSE), during those minutes, this condition will return false
(for example, 3:15 am Eastern on a weekday, during which the CME is
open but the NYSE is closed).
Parameters
----------
assets: Asset or iterable of assets
Returns
-------
can_trade : bool or pd.Series[bool] indexed by asset.
"""
dt = self.simulation_dt_func()
if self._adjust_minutes:
adjusted_dt = self._get_current_minute()
else:
adjusted_dt = dt
data_portal = self.data_portal
if isinstance(assets, Asset):
return self._can_trade_for_asset(
assets, dt, adjusted_dt, data_portal
)
else:
tradeable = [
self._can_trade_for_asset(
asset, dt, adjusted_dt, data_portal
)
for asset in assets
]
return pd.Series(data=tradeable, index=assets, dtype=bool)
cdef bool _can_trade_for_asset(self, asset, dt, adjusted_dt, data_portal):
cdef object session_label
cdef object dt_to_use_for_exchange_check,
if self._is_restricted(asset, adjusted_dt):
return False
session_label = self._trading_calendar.minute_to_session_label(dt)
if not asset.is_alive_for_session(session_label):
# asset isn't alive
return False
if asset.auto_close_date and session_label >= asset.auto_close_date:
return False
if not self._daily_mode:
# Find the next market minute for this calendar, and check if this
# asset's exchange is open at that minute.
if self._trading_calendar.is_open_on_minute(dt):
dt_to_use_for_exchange_check = dt
else:
dt_to_use_for_exchange_check = \
self._trading_calendar.next_open(dt)
if not asset.is_exchange_open(dt_to_use_for_exchange_check):
return False
# is there a last price?
return not np.isnan(
data_portal.get_spot_value(
asset, "price", adjusted_dt, self.data_frequency
)
)
@check_parameters(('assets',), (Asset,))
def is_stale(self, assets):
"""
For the given asset or iterable of assets, returns true if the asset
is alive and there is no trade data for the current simulation time.
If the asset has never traded, returns False.
If the current simulation time is not a valid market time, we use the
current time to check if the asset is alive, but we use the last
market minute/day for the trade data check.
Parameters
----------
assets: Asset or iterable of assets
Returns
-------
boolean or Series of booleans, indexed by asset.
"""
dt = self.simulation_dt_func()
if self._adjust_minutes:
adjusted_dt = self._get_current_minute()
else:
adjusted_dt = dt
data_portal = self.data_portal
if isinstance(assets, Asset):
return self._is_stale_for_asset(
assets, dt, adjusted_dt, data_portal
)
else:
return pd.Series(data={
asset: self._is_stale_for_asset(
asset, dt, adjusted_dt, data_portal
)
for asset in assets
})
cdef bool _is_stale_for_asset(self, asset, dt, adjusted_dt, data_portal):
session_label = normalize_date(dt) # FIXME
if not asset.is_alive_for_session(session_label):
return False
current_volume = data_portal.get_spot_value(
asset, "volume", adjusted_dt, self.data_frequency
)
if current_volume > 0:
# found a current value, so we know this asset is not stale.
return False
else:
# we need to distinguish between if this asset has ever traded
# (stale = True) or has never traded (stale = False)
last_traded_dt = \
data_portal.get_spot_value(asset, "last_traded", adjusted_dt,
self.data_frequency)
return not (last_traded_dt is pd.NaT)
@check_parameters(('assets', 'fields', 'bar_count',
'frequency'),
((Asset, ContinuousFuture) + string_types, string_types,
int,
string_types))
def history(self, assets, fields, bar_count, frequency):
"""
Returns a window of data for the given assets and fields.
This data is adjusted for splits, dividends, and mergers as of the
current algorithm time.
The semantics of missing data are identical to the ones described in
the notes for `get_spot_value`.
Parameters
----------
assets: Asset or iterable of Asset
fields: string or iterable of string. Valid values are "open", "high",
"low", "close", "volume", "price", and "last_traded".
bar_count: integer number of bars of trade data
frequency: string. "1m" for minutely data or "1d" for daily date
Returns
-------
history : Series or DataFrame or Panel
Return type depends on the dimensionality of the 'assets' and
'fields' parameters.
If single asset and field are passed in, the returned Series is
indexed by dt.
If multiple assets and single field are passed in, the returned
DataFrame is indexed by dt, and has assets as columns.
If a single asset and multiple fields are passed in, the returned
DataFrame is indexed by dt, and has fields as columns.
If multiple assets and multiple fields are passed in, the returned
Panel is indexed by field, has dt as the major axis, and assets
as the minor axis.
Notes
-----
If the current simulation time is not a valid market time, we use the
last market close instead.
"""
if isinstance(fields, string_types):
single_asset = isinstance(assets, PricingDataAssociable)
if single_asset:
asset_list = [assets]
else:
asset_list = assets
df = self.data_portal.get_history_window(
asset_list,
self._get_current_minute(),
bar_count,
frequency,
fields,
self.data_frequency,
)
if self._adjust_minutes:
adjs = self.data_portal.get_adjustments(
assets,
fields,
self._get_current_minute(),
self.simulation_dt_func()
)
df = df * adjs
if single_asset:
# single asset, single field, return a series.
return df[assets]
else:
# multiple assets, single field, return a dataframe whose
# columns are the assets, indexed by dt.
return df
else:
if isinstance(assets, PricingDataAssociable):
# one asset, multiple fields. for now, just make multiple
# history calls, one per field, then stitch together the
# results. this can definitely be optimized!
df_dict = {
field: self.data_portal.get_history_window(
[assets],
self._get_current_minute(),
bar_count,
frequency,
field,
self.data_frequency,
)[assets] for field in fields
}
if self._adjust_minutes:
adjs = {
field: self.data_portal.get_adjustments(
assets,
field,
self._get_current_minute(),
self.simulation_dt_func()
)[0] for field in fields
}
df_dict = {field: df * adjs[field]
for field, df in iteritems(df_dict)}
# returned dataframe whose columns are the fields, indexed by
# dt.
return pd.DataFrame(df_dict)
else:
df_dict = {
field: self.data_portal.get_history_window(
assets,
self._get_current_minute(),
bar_count,
frequency,
field,
self.data_frequency,
) for field in fields
}
if self._adjust_minutes:
adjs = {
field: self.data_portal.get_adjustments(
assets,
field,
self._get_current_minute(),
self.simulation_dt_func()
) for field in fields
}
df_dict = {field: df * adjs[field]
for field, df in iteritems(df_dict)}
# returned panel has:
# items: fields
# major axis: dt
# minor axis: assets
return pd.Panel(df_dict)
property current_dt:
def __get__(self):
return self.simulation_dt_func()
@property
def fetcher_assets(self):
return self.data_portal.get_fetcher_assets(self.simulation_dt_func())
property _handle_non_market_minutes:
def __set__(self, val):
self._adjust_minutes = val
property current_session:
def __get__(self):
return self._trading_calendar.minute_to_session_label(
self.simulation_dt_func(),
direction="next"
)
property current_session_minutes:
def __get__(self):
return self._trading_calendar.minutes_for_session(
self.current_session
)
#################
# OLD API SUPPORT
#################
cdef _calculate_universe(self):
if self._universe_func is None:
return []
simulation_dt = self.simulation_dt_func()
if self._last_calculated_universe is None or \
self._universe_last_updated_at != simulation_dt:
self._last_calculated_universe = self._universe_func()
self._universe_last_updated_at = simulation_dt
return self._last_calculated_universe
def __iter__(self):
self._warn_deprecated("Iterating over the assets in `data` is "
"deprecated.")
for asset in self._calculate_universe():
yield asset
def __contains__(self, asset):
self._warn_deprecated("Checking whether an asset is in data is "
"deprecated.")
universe = self._calculate_universe()
return asset in universe
def items(self):
self._warn_deprecated("Iterating over the assets in `data` is "
"deprecated.")
return [(asset, self[asset]) for asset in self._calculate_universe()]
def iteritems(self):
self._warn_deprecated("Iterating over the assets in `data` is "
"deprecated.")
for asset in self._calculate_universe():
yield asset, self[asset]
def __len__(self):
self._warn_deprecated("Iterating over the assets in `data` is "
"deprecated.")
return len(self._calculate_universe())
def keys(self):
self._warn_deprecated("Iterating over the assets in `data` is "
"deprecated.")
return list(self._calculate_universe())
def iterkeys(self):
return iter(self.keys())
def __getitem__(self, name):
return self._get_equity_price_view(name)
cdef _warn_deprecated(self, msg):
warnings.warn(
msg,
category=ZiplineDeprecationWarning,
stacklevel=1
)
cdef class SidView:
cdef object asset
cdef object data_portal
cdef object simulation_dt_func
cdef object data_frequency
"""
This class exists to temporarily support the deprecated data[sid(N)] API.
"""
def __init__(self, asset, data_portal, simulation_dt_func, data_frequency):
"""
Parameters
---------
asset : Asset
The asset for which the instance retrieves data.
data_portal : DataPortal
Provider for bar pricing data.
simulation_dt_func: function
Function which returns the current simulation time.
This is usually bound to a method of TradingSimulation.
data_frequency: string
The frequency of the bar data; i.e. whether the data is
'daily' or 'minute' bars
"""
self.asset = asset
self.data_portal = data_portal
self.simulation_dt_func = simulation_dt_func
self.data_frequency = data_frequency
def __getattr__(self, column):
# backwards compatibility code for Q1 API
if column == "close_price":
column = "close"
elif column == "open_price":
column = "open"
elif column == "dt":
return self.dt
elif column == "datetime":
return self.datetime
elif column == "sid":
return self.sid
return self.data_portal.get_spot_value(
self.asset,
column,
self.simulation_dt_func(),
self.data_frequency
)
def __contains__(self, column):
return self.data_portal.contains(self.asset, column)
def __getitem__(self, column):
return self.__getattr__(column)
property sid:
def __get__(self):
return self.asset
property dt:
def __get__(self):
return self.datetime
property datetime:
def __get__(self):
return self.data_portal.get_last_traded_dt(
self.asset,
self.simulation_dt_func(),
self.data_frequency)
property current_dt:
def __get__(self):
return self.simulation_dt_func()
def mavg(self, num_minutes):
self._warn_deprecated("The `mavg` method is deprecated.")
return self.data_portal.get_simple_transform(
self.asset, "mavg", self.simulation_dt_func(),
self.data_frequency, bars=num_minutes
)
def stddev(self, num_minutes):
self._warn_deprecated("The `stddev` method is deprecated.")
return self.data_portal.get_simple_transform(
self.asset, "stddev", self.simulation_dt_func(),
self.data_frequency, bars=num_minutes
)
def vwap(self, num_minutes):
self._warn_deprecated("The `vwap` method is deprecated.")
return self.data_portal.get_simple_transform(
self.asset, "vwap", self.simulation_dt_func(),
self.data_frequency, bars=num_minutes
)
def returns(self):
self._warn_deprecated("The `returns` method is deprecated.")
return self.data_portal.get_simple_transform(
self.asset, "returns", self.simulation_dt_func(),
self.data_frequency
)
cdef _warn_deprecated(self, msg):
warnings.warn(
msg,
category=ZiplineDeprecationWarning,
stacklevel=1
)
catalyst/_version.py
-460
View File
@@ -1,460 +0,0 @@
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains the computed version number.
# This file is released into the public domain. Generated by
# versioneer-0.15 (https://github.com/warner/python-versioneer)
import errno
import os
import re
import subprocess
import sys
def get_keywords():
# these strings will be replaced by git during git-archive.
# setup.py/versioneer.py will grep for the variable names, so they must
# each be defined on a line of their own. _version.py will just call
# get_keywords().
git_refnames = "$Format:%d$"
git_full = "$Format:%H$"
keywords = {"refnames": git_refnames, "full": git_full}
return keywords
class VersioneerConfig:
pass
def get_config():
# these strings are filled in when 'setup.py versioneer' creates
# _version.py
cfg = VersioneerConfig()
cfg.VCS = "git"
cfg.style = "pep440"
cfg.tag_prefix = ""
cfg.parentdir_prefix = "catalyst-"
cfg.versionfile_source = "catalyst/_version.py"
cfg.verbose = False
return cfg
class NotThisMethod(Exception):
pass
LONG_VERSION_PY = {}
HANDLERS = {}
def register_vcs_handler(vcs, method): # decorator
def decorate(f):
if vcs not in HANDLERS:
HANDLERS[vcs] = {}
HANDLERS[vcs][method] = f
return f
return decorate
def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False):
assert isinstance(commands, list)
p = None
for c in commands:
try:
dispcmd = str([c] + args)
# remember shell=False, so use git.cmd on windows, not just git
p = subprocess.Popen([c] + args, cwd=cwd, stdout=subprocess.PIPE,
stderr=(subprocess.PIPE if hide_stderr
else None))
break
except EnvironmentError:
e = sys.exc_info()[1]
if e.errno == errno.ENOENT:
continue
if verbose:
print("unable to run %s" % dispcmd)
print(e)
return None
else:
if verbose:
print("unable to find command, tried %s" % (commands,))
return None
stdout = p.communicate()[0].strip()
if sys.version_info[0] >= 3:
stdout = stdout.decode()
if p.returncode != 0:
if verbose:
print("unable to run %s (error)" % dispcmd)
return None
return stdout
def versions_from_parentdir(parentdir_prefix, root, verbose):
# Source tarballs conventionally unpack into a directory that includes
# both the project name and a version string.
dirname = os.path.basename(root)
if not dirname.startswith(parentdir_prefix):
if verbose:
print("guessing rootdir is '%s', but '%s' doesn't start with "
"prefix '%s'" % (root, dirname, parentdir_prefix))
raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
return {"version": dirname[len(parentdir_prefix):],
"full-revisionid": None,
"dirty": False, "error": None}
@register_vcs_handler("git", "get_keywords")
def git_get_keywords(versionfile_abs):
# the code embedded in _version.py can just fetch the value of these
# keywords. When used from setup.py, we don't want to import _version.py,
# so we do it with a regexp instead. This function is not used from
# _version.py.
keywords = {}
try:
f = open(versionfile_abs, "r")
for line in f.readlines():
if line.strip().startswith("git_refnames ="):
mo = re.search(r'=\s*"(.*)"', line)
if mo:
keywords["refnames"] = mo.group(1)
if line.strip().startswith("git_full ="):
mo = re.search(r'=\s*"(.*)"', line)
if mo:
keywords["full"] = mo.group(1)
f.close()
except EnvironmentError:
pass
return keywords
@register_vcs_handler("git", "keywords")
def git_versions_from_keywords(keywords, tag_prefix, verbose):
if not keywords:
raise NotThisMethod("no keywords at all, weird")
refnames = keywords["refnames"].strip()
if refnames.startswith("$Format"):
if verbose:
print("keywords are unexpanded, not using")
raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
refs = set([r.strip() for r in refnames.strip("()").split(",")])
# starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
# just "foo-1.0". If we see a "tag: " prefix, prefer those.
TAG = "tag: "
tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
if not tags:
# Either we're using git < 1.8.3, or there really are no tags. We use
# a heuristic: assume all version tags have a digit. The old git %d
# expansion behaves like git log --decorate=short and strips out the
# refs/heads/ and refs/tags/ prefixes that would let us distinguish
# between branches and tags. By ignoring refnames without digits, we
# filter out many common branch names like "release" and
# "stabilization", as well as "HEAD" and "master".
tags = set([r for r in refs if re.search(r'\d', r)])
if verbose:
print("discarding '%s', no digits" % ",".join(refs-tags))
if verbose:
print("likely tags: %s" % ",".join(sorted(tags)))
for ref in sorted(tags):
# sorting will prefer e.g. "2.0" over "2.0rc1"
if ref.startswith(tag_prefix):
r = ref[len(tag_prefix):]
if verbose:
print("picking %s" % r)
return {"version": r,
"full-revisionid": keywords["full"].strip(),
"dirty": False, "error": None
}
# no suitable tags, so version is "0+unknown", but full hex is still there
if verbose:
print("no suitable tags, using unknown + full revision id")
return {"version": "0+unknown",
"full-revisionid": keywords["full"].strip(),
"dirty": False, "error": "no suitable tags"}
@register_vcs_handler("git", "pieces_from_vcs")
def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
# this runs 'git' from the root of the source tree. This only gets called
# if the git-archive 'subst' keywords were *not* expanded, and
# _version.py hasn't already been rewritten with a short version string,
# meaning we're inside a checked out source tree.
if not os.path.exists(os.path.join(root, ".git")):
if verbose:
print("no .git in %s" % root)
raise NotThisMethod("no .git directory")
GITS = ["git"]
if sys.platform == "win32":
GITS = ["git.cmd", "git.exe"]
# if there is a tag, this yields TAG-NUM-gHEX[-dirty]
# if there are no tags, this yields HEX[-dirty] (no NUM)
describe_out = run_command(GITS, ["describe", "--tags", "--dirty",
"--always", "--long"],
cwd=root)
# --long was added in git-1.5.5
if describe_out is None:
raise NotThisMethod("'git describe' failed")
describe_out = describe_out.strip()
full_out = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
if full_out is None:
raise NotThisMethod("'git rev-parse' failed")
full_out = full_out.strip()
pieces = {}
pieces["long"] = full_out
pieces["short"] = full_out[:7] # maybe improved later
pieces["error"] = None
# parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
# TAG might have hyphens.
git_describe = describe_out
# look for -dirty suffix
dirty = git_describe.endswith("-dirty")
pieces["dirty"] = dirty
if dirty:
git_describe = git_describe[:git_describe.rindex("-dirty")]
# now we have TAG-NUM-gHEX or HEX
if "-" in git_describe:
# TAG-NUM-gHEX
mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
if not mo:
# unparseable. Maybe git-describe is misbehaving?
pieces["error"] = ("unable to parse git-describe output: '%s'"
% describe_out)
return pieces
# tag
full_tag = mo.group(1)
if not full_tag.startswith(tag_prefix):
if verbose:
fmt = "tag '%s' doesn't start with prefix '%s'"
print(fmt % (full_tag, tag_prefix))
pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
% (full_tag, tag_prefix))
return pieces
pieces["closest-tag"] = full_tag[len(tag_prefix):]
# distance: number of commits since tag
pieces["distance"] = int(mo.group(2))
# commit: short hex revision ID
pieces["short"] = mo.group(3)
else:
# HEX: no tags
pieces["closest-tag"] = None
count_out = run_command(GITS, ["rev-list", "HEAD", "--count"],
cwd=root)
pieces["distance"] = int(count_out) # total number of commits
return pieces
def plus_or_dot(pieces):
if "+" in pieces.get("closest-tag", ""):
return "."
return "+"
def render_pep440(pieces):
# now build up version string, with post-release "local version
# identifier". Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
# get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
# exceptions:
# 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"] or pieces["dirty"]:
rendered += plus_or_dot(pieces)
rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
if pieces["dirty"]:
rendered += ".dirty"
else:
# exception #1
rendered = "0+untagged.%d.g%s" % (pieces["distance"],
pieces["short"])
if pieces["dirty"]:
rendered += ".dirty"
return rendered
def render_pep440_pre(pieces):
# TAG[.post.devDISTANCE] . No -dirty
# exceptions:
# 1: no tags. 0.post.devDISTANCE
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"]:
rendered += ".post.dev%d" % pieces["distance"]
else:
# exception #1
rendered = "0.post.dev%d" % pieces["distance"]
return rendered
def render_pep440_post(pieces):
# TAG[.postDISTANCE[.dev0]+gHEX] . The ".dev0" means dirty. Note that
# .dev0 sorts backwards (a dirty tree will appear "older" than the
# corresponding clean one), but you shouldn't be releasing software with
# -dirty anyways.
# exceptions:
# 1: no tags. 0.postDISTANCE[.dev0]
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"] or pieces["dirty"]:
rendered += ".post%d" % pieces["distance"]
if pieces["dirty"]:
rendered += ".dev0"
rendered += plus_or_dot(pieces)
rendered += "g%s" % pieces["short"]
else:
# exception #1
rendered = "0.post%d" % pieces["distance"]
if pieces["dirty"]:
rendered += ".dev0"
rendered += "+g%s" % pieces["short"]
return rendered
def render_pep440_old(pieces):
# TAG[.postDISTANCE[.dev0]] . The ".dev0" means dirty.
# exceptions:
# 1: no tags. 0.postDISTANCE[.dev0]
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"] or pieces["dirty"]:
rendered += ".post%d" % pieces["distance"]
if pieces["dirty"]:
rendered += ".dev0"
else:
# exception #1
rendered = "0.post%d" % pieces["distance"]
if pieces["dirty"]:
rendered += ".dev0"
return rendered
def render_git_describe(pieces):
# TAG[-DISTANCE-gHEX][-dirty], like 'git describe --tags --dirty
# --always'
# exceptions:
# 1: no tags. HEX[-dirty] (note: no 'g' prefix)
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"]:
rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
else:
# exception #1
rendered = pieces["short"]
if pieces["dirty"]:
rendered += "-dirty"
return rendered
def render_git_describe_long(pieces):
# TAG-DISTANCE-gHEX[-dirty], like 'git describe --tags --dirty
# --always -long'. The distance/hash is unconditional.
# exceptions:
# 1: no tags. HEX[-dirty] (note: no 'g' prefix)
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
else:
# exception #1
rendered = pieces["short"]
if pieces["dirty"]:
rendered += "-dirty"
return rendered
def render(pieces, style):
if pieces["error"]:
return {"version": "unknown",
"full-revisionid": pieces.get("long"),
"dirty": None,
"error": pieces["error"]}
if not style or style == "default":
style = "pep440" # the default
if style == "pep440":
rendered = render_pep440(pieces)
elif style == "pep440-pre":
rendered = render_pep440_pre(pieces)
elif style == "pep440-post":
rendered = render_pep440_post(pieces)
elif style == "pep440-old":
rendered = render_pep440_old(pieces)
elif style == "git-describe":
rendered = render_git_describe(pieces)
elif style == "git-describe-long":
rendered = render_git_describe_long(pieces)
else:
raise ValueError("unknown style '%s'" % style)
return {"version": rendered, "full-revisionid": pieces["long"],
"dirty": pieces["dirty"], "error": None}
def get_versions():
# I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
# __file__, we can work backwards from there to the root. Some
# py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
# case we can only use expanded keywords.
cfg = get_config()
verbose = cfg.verbose
try:
return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
verbose)
except NotThisMethod:
pass
try:
root = os.path.realpath(__file__)
# versionfile_source is the relative path from the top of the source
# tree (where the .git directory might live) to this file. Invert
# this to find the root from __file__.
for i in cfg.versionfile_source.split('/'):
root = os.path.dirname(root)
except NameError:
return {"version": "0+unknown", "full-revisionid": None,
"dirty": None,
"error": "unable to find root of source tree"}
try:
pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
return render(pieces, cfg.style)
except NotThisMethod:
pass
try:
if cfg.parentdir_prefix:
return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
except NotThisMethod:
pass
return {"version": "0+unknown", "full-revisionid": None,
"dirty": None,
"error": "unable to compute version"}
catalyst/algorithm.py
-2576
View File
File diff suppressed because it is too large Load Diff
catalyst/api.py
-59
View File
@@ -1,59 +0,0 @@
#
# Copyright 2014 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Note that part of the API is implemented in TradingAlgorithm as
# methods (e.g. order). These are added to this namespace via the
# decorator ``api_method`` inside of algorithm.py.
from .finance.asset_restrictions import (
Restriction,
StaticRestrictions,
HistoricalRestrictions,
RESTRICTION_STATES,
)
from .finance import commission, execution, slippage, cancel_policy
from .finance.cancel_policy import (
NeverCancel,
EODCancel
)
from .finance.slippage import (
FixedSlippage,
VolumeShareSlippage,
)
from .utils import math_utils, events
from .utils.events import (
calendars,
date_rules,
time_rules
)
__all__ = [
'EODCancel',
'FixedSlippage',
'NeverCancel',
'VolumeShareSlippage',
'Restriction',
'StaticRestrictions',
'HistoricalRestrictions',
'RESTRICTION_STATES',
'cancel_policy',
'commission',
'date_rules',
'events',
'execution',
'math_utils',
'slippage',
'time_rules',
'calendars',
]
catalyst/api.pyi
-775
View File
@@ -1,775 +0,0 @@
import collections
from catalyst.assets import Asset, Equity, Future
from catalyst.assets.futures import FutureChain
from catalyst.finance.asset_restrictions import Restrictions
from catalyst.finance.cancel_policy import CancelPolicy
from catalyst.pipeline import Pipeline
from catalyst.protocol import Order
from catalyst.utils.events import EventRule
from catalyst.utils.security_list import SecurityList
def attach_pipeline(pipeline, name, chunks=None):
"""Register a pipeline to be computed at the start of each day.
Parameters
----------
pipeline : Pipeline
The pipeline to have computed.
name : str
The name of the pipeline.
chunks : int or iterator, optional
The number of days to compute pipeline results for. Increasing
this number will make it longer to get the first results but
may improve the total runtime of the simulation. If an iterator
is passed, we will run in chunks based on values of the itereator.
Returns
-------
pipeline : Pipeline
Returns the pipeline that was attached unchanged.
See Also
--------
:func:`catalyst.api.pipeline_output`
"""
def batch_market_order(share_counts):
"""Place a batch market order for multiple assets.
Parameters
----------
share_counts : pd.Series[Asset -> int]
Map from asset to number of shares to order for that asset.
Returns
-------
order_ids : pd.Index[str]
Index of ids for newly-created orders.
"""
def cancel_order(order_param):
"""Cancel an open order.
Parameters
----------
order_param : str or Order
The order_id or order object to cancel.
"""
def continuous_future(root_symbol_str, offset=0, roll='volume', adjustment='mul'):
"""Create a specifier for a continuous contract.
Parameters
----------
root_symbol_str : str
The root symbol for the future chain.
offset : int, optional
The distance from the primary contract. Default is 0.
roll_style : str, optional
How rolls are determined. Default is 'volume'.
adjustment : str, optional
Method for adjusting lookback prices between rolls. Options are
'mul', 'add', and None. Default is 'mul'.
Returns
-------
continuous_future : ContinuousFuture
The continuous future specifier.
"""
def fetch_csv(url, pre_func=None, post_func=None, date_column='date', date_format=None, timezone='UTC', symbol=None, mask=True, symbol_column=None, special_params_checker=None, **kwargs):
"""Fetch a csv from a remote url and register the data so that it is
queryable from the ``data`` object.
Parameters
----------
url : str
The url of the csv file to load.
pre_func : callable[pd.DataFrame -> pd.DataFrame], optional
A callback to allow preprocessing the raw data returned from
fetch_csv before dates are paresed or symbols are mapped.
post_func : callable[pd.DataFrame -> pd.DataFrame], optional
A callback to allow postprocessing of the data after dates and
symbols have been mapped.
date_column : str, optional
The name of the column in the preprocessed dataframe containing
datetime information to map the data.
date_format : str, optional
The format of the dates in the ``date_column``. If not provided
``fetch_csv`` will attempt to infer the format. For information
about the format of this string, see :func:`pandas.read_csv`.
timezone : tzinfo or str, optional
The timezone for the datetime in the ``date_column``.
symbol : str, optional
If the data is about a new asset or index then this string will
be the name used to identify the values in ``data``. For example,
one may use ``fetch_csv`` to load data for VIX, then this field
could be the string ``'VIX'``.
mask : bool, optional
Drop any rows which cannot be symbol mapped.
symbol_column : str
If the data is attaching some new attribute to each asset then this
argument is the name of the column in the preprocessed dataframe
containing the symbols. This will be used along with the date
information to map the sids in the asset finder.
**kwargs
Forwarded to :func:`pandas.read_csv`.
Returns
-------
csv_data_source : catalyst.sources.requests_csv.PandasRequestsCSV
A requests source that will pull data from the url specified.
"""
def future_symbol(symbol):
"""Lookup a futures contract with a given symbol.
Parameters
----------
symbol : str
The symbol of the desired contract.
Returns
-------
future : Future
The future that trades with the name ``symbol``.
Raises
------
SymbolNotFound
Raised when no contract named 'symbol' is found.
"""
def get_datetime(tz=None):
"""
Returns the current simulation datetime.
Parameters
----------
tz : tzinfo or str, optional
The timezone to return the datetime in. This defaults to utc.
Returns
-------
dt : datetime
The current simulation datetime converted to ``tz``.
"""
def get_environment(field='platform'):
"""Query the execution environment.
Parameters
----------
field : {'platform', 'arena', 'data_frequency',
'start', 'end', 'capital_base', 'platform', '*'}
The field to query. The options have the following meanings:
arena : str
The arena from the simulation parameters. This will normally
be ``'backtest'`` but some systems may use this distinguish
live trading from backtesting.
data_frequency : {'daily', 'minute'}
data_frequency tells the algorithm if it is running with
daily data or minute data.
start : datetime
The start date for the simulation.
end : datetime
The end date for the simulation.
capital_base : float
The starting capital for the simulation.
platform : str
The platform that the code is running on. By default this
will be the string 'catalyst'. This can allow algorithms to
know if they are running on the Quantopian platform instead.
* : dict[str -> any]
Returns all of the fields in a dictionary.
Returns
-------
val : any
The value for the field queried. See above for more information.
Raises
------
ValueError
Raised when ``field`` is not a valid option.
"""
def get_order(order_id):
"""Lookup an order based on the order id returned from one of the
order functions.
Parameters
----------
order_id : str
The unique identifier for the order.
Returns
-------
order : Order
The order object.
"""
def history(bar_count, frequency, field, ffill=True):
"""DEPRECATED: use ``data.history`` instead.
"""
def order(asset, amount, limit_price=None, stop_price=None, style=None):
"""Place an order.
Parameters
----------
asset : Asset
The asset that this order is for.
amount : int
The amount of shares to order. If ``amount`` is positive, this is
the number of shares to buy or cover. If ``amount`` is negative,
this is the number of shares to sell or short.
limit_price : float, optional
The limit price for the order.
stop_price : float, optional
The stop price for the order.
style : ExecutionStyle, optional
The execution style for the order.
Returns
-------
order_id : str or None
The unique identifier for this order, or None if no order was
placed.
Notes
-----
The ``limit_price`` and ``stop_price`` arguments provide shorthands for
passing common execution styles. Passing ``limit_price=N`` is
equivalent to ``style=LimitOrder(N)``. Similarly, passing
``stop_price=M`` is equivalent to ``style=StopOrder(M)``, and passing
``limit_price=N`` and ``stop_price=M`` is equivalent to
``style=StopLimitOrder(N, M)``. It is an error to pass both a ``style``
and ``limit_price`` or ``stop_price``.
See Also
--------
:class:`catalyst.finance.execution.ExecutionStyle`
:func:`catalyst.api.order_value`
:func:`catalyst.api.order_percent`
"""
def order_percent(asset, percent, limit_price=None, stop_price=None, style=None):
"""Place an order in the specified asset corresponding to the given
percent of the current portfolio value.
Parameters
----------
asset : Asset
The asset that this order is for.
percent : float
The percentage of the porfolio value to allocate to ``asset``.
This is specified as a decimal, for example: 0.50 means 50%.
limit_price : float, optional
The limit price for the order.
stop_price : float, optional
The stop price for the order.
style : ExecutionStyle
The execution style for the order.
Returns
-------
order_id : str
The unique identifier for this order.
Notes
-----
See :func:`catalyst.api.order` for more information about
``limit_price``, ``stop_price``, and ``style``
See Also
--------
:class:`catalyst.finance.execution.ExecutionStyle`
:func:`catalyst.api.order`
:func:`catalyst.api.order_value`
"""
def order_target(asset, target, limit_price=None, stop_price=None, style=None):
"""Place an order to adjust a position to a target number of shares. If
the position doesn't already exist, this is equivalent to placing a new
order. If the position does exist, this is equivalent to placing an
order for the difference between the target number of shares and the
current number of shares.
Parameters
----------
asset : Asset
The asset that this order is for.
target : int
The desired number of shares of ``asset``.
limit_price : float, optional
The limit price for the order.
stop_price : float, optional
The stop price for the order.
style : ExecutionStyle
The execution style for the order.
Returns
-------
order_id : str
The unique identifier for this order.
Notes
-----
``order_target`` does not take into account any open orders. For
example:
.. code-block:: python
order_target(sid(0), 10)
order_target(sid(0), 10)
This code will result in 20 shares of ``sid(0)`` because the first
call to ``order_target`` will not have been filled when the second
``order_target`` call is made.
See :func:`catalyst.api.order` for more information about
``limit_price``, ``stop_price``, and ``style``
See Also
--------
:class:`catalyst.finance.execution.ExecutionStyle`
:func:`catalyst.api.order`
:func:`catalyst.api.order_target_percent`
:func:`catalyst.api.order_target_value`
"""
def order_target_percent(asset, target, limit_price=None, stop_price=None, style=None):
"""Place an order to adjust a position to a target percent of the
current portfolio value. If the position doesn't already exist, this is
equivalent to placing a new order. If the position does exist, this is
equivalent to placing an order for the difference between the target
percent and the current percent.
Parameters
----------
asset : Asset
The asset that this order is for.
target : float
The desired percentage of the porfolio value to allocate to
``asset``. This is specified as a decimal, for example:
0.50 means 50%.
limit_price : float, optional
The limit price for the order.
stop_price : float, optional
The stop price for the order.
style : ExecutionStyle
The execution style for the order.
Returns
-------
order_id : str
The unique identifier for this order.
Notes
-----
``order_target_value`` does not take into account any open orders. For
example:
.. code-block:: python
order_target_percent(sid(0), 10)
order_target_percent(sid(0), 10)
This code will result in 20% of the portfolio being allocated to sid(0)
because the first call to ``order_target_percent`` will not have been
filled when the second ``order_target_percent`` call is made.
See :func:`catalyst.api.order` for more information about
``limit_price``, ``stop_price``, and ``style``
See Also
--------
:class:`catalyst.finance.execution.ExecutionStyle`
:func:`catalyst.api.order`
:func:`catalyst.api.order_target`
:func:`catalyst.api.order_target_value`
"""
def order_target_value(asset, target, limit_price=None, stop_price=None, style=None):
"""Place an order to adjust a position to a target value. If
the position doesn't already exist, this is equivalent to placing a new
order. If the position does exist, this is equivalent to placing an
order for the difference between the target value and the
current value.
If the Asset being ordered is a Future, the 'target value' calculated
is actually the target exposure, as Futures have no 'value'.
Parameters
----------
asset : Asset
The asset that this order is for.
target : float
The desired total value of ``asset``.
limit_price : float, optional
The limit price for the order.
stop_price : float, optional
The stop price for the order.
style : ExecutionStyle
The execution style for the order.
Returns
-------
order_id : str
The unique identifier for this order.
Notes
-----
``order_target_value`` does not take into account any open orders. For
example:
.. code-block:: python
order_target_value(sid(0), 10)
order_target_value(sid(0), 10)
This code will result in 20 dollars of ``sid(0)`` because the first
call to ``order_target_value`` will not have been filled when the
second ``order_target_value`` call is made.
See :func:`catalyst.api.order` for more information about
``limit_price``, ``stop_price``, and ``style``
See Also
--------
:class:`catalyst.finance.execution.ExecutionStyle`
:func:`catalyst.api.order`
:func:`catalyst.api.order_target`
:func:`catalyst.api.order_target_percent`
"""
def order_value(asset, value, limit_price=None, stop_price=None, style=None):
"""Place an order by desired value rather than desired number of
shares.
Parameters
----------
asset : Asset
The asset that this order is for.
value : float
If the requested asset exists, the requested value is
divided by its price to imply the number of shares to transact.
If the Asset being ordered is a Future, the 'value' calculated
is actually the exposure, as Futures have no 'value'.
value > 0 :: Buy/Cover
value < 0 :: Sell/Short
limit_price : float, optional
The limit price for the order.
stop_price : float, optional
The stop price for the order.
style : ExecutionStyle
The execution style for the order.
Returns
-------
order_id : str
The unique identifier for this order.
Notes
-----
See :func:`catalyst.api.order` for more information about
``limit_price``, ``stop_price``, and ``style``
See Also
--------
:class:`catalyst.finance.execution.ExecutionStyle`
:func:`catalyst.api.order`
:func:`catalyst.api.order_percent`
"""
def pipeline_output(name):
"""Get the results of the pipeline that was attached with the name:
``name``.
Parameters
----------
name : str
Name of the pipeline for which results are requested.
Returns
-------
results : pd.DataFrame
DataFrame containing the results of the requested pipeline for
the current simulation date.
Raises
------
NoSuchPipeline
Raised when no pipeline with the name `name` has been registered.
See Also
--------
:func:`catalyst.api.attach_pipeline`
:meth:`catalyst.pipeline.engine.PipelineEngine.run_pipeline`
"""
def record(*args, **kwargs):
"""Track and record values each day.
Parameters
----------
**kwargs
The names and values to record.
Notes
-----
These values will appear in the performance packets and the performance
dataframe passed to ``analyze`` and returned from
:func:`~catalyst.run_algorithm`.
"""
def schedule_function(func, date_rule=None, time_rule=None, half_days=True, calendar=None):
"""Schedules a function to be called according to some timed rules.
Parameters
----------
func : callable[(context, data) -> None]
The function to execute when the rule is triggered.
date_rule : EventRule, optional
The rule for the dates to execute this function.
time_rule : EventRule, optional
The rule for the times to execute this function.
half_days : bool, optional
Should this rule fire on half days?
See Also
--------
:class:`catalyst.api.date_rules`
:class:`catalyst.api.time_rules`
"""
def set_asset_restrictions(restrictions, on_error='fail'):
"""Set a restriction on which assets can be ordered.
Parameters
----------
restricted_list : Restrictions
An object providing information about restricted assets.
See Also
--------
catalyst.finance.asset_restrictions.Restrictions
"""
def set_benchmark(benchmark):
"""Set the benchmark asset.
Parameters
----------
benchmark : Asset
The asset to set as the new benchmark.
Notes
-----
Any dividends payed out for that new benchmark asset will be
automatically reinvested.
"""
def set_cancel_policy(cancel_policy):
"""Sets the order cancellation policy for the simulation.
Parameters
----------
cancel_policy : CancelPolicy
The cancellation policy to use.
See Also
--------
:class:`catalyst.api.EODCancel`
:class:`catalyst.api.NeverCancel`
"""
def set_commission(commission):
"""Sets the commission model for the simulation.
Parameters
----------
commission : CommissionModel
The commission model to use.
See Also
--------
:class:`catalyst.finance.commission.PerShare`
:class:`catalyst.finance.commission.PerTrade`
:class:`catalyst.finance.commission.PerDollar`
"""
def set_do_not_order_list(restricted_list, on_error='fail'):
"""Set a restriction on which assets can be ordered.
Parameters
----------
restricted_list : container[Asset], SecurityList
The assets that cannot be ordered.
"""
def set_long_only(on_error='fail'):
"""Set a rule specifying that this algorithm cannot take short
positions.
"""
def set_max_leverage(max_leverage):
"""Set a limit on the maximum leverage of the algorithm.
Parameters
----------
max_leverage : float
The maximum leverage for the algorithm. If not provided there will
be no maximum.
"""
def set_max_order_count(max_count, on_error='fail'):
"""Set a limit on the number of orders that can be placed in a single
day.
Parameters
----------
max_count : int
The maximum number of orders that can be placed on any single day.
"""
def set_max_order_size(asset=None, max_shares=None, max_notional=None, on_error='fail'):
"""Set a limit on the number of shares and/or dollar value of any single
order placed for sid. Limits are treated as absolute values and are
enforced at the time that the algo attempts to place an order for sid.
If an algorithm attempts to place an order that would result in
exceeding one of these limits, raise a TradingControlException.
Parameters
----------
asset : Asset, optional
If provided, this sets the guard only on positions in the given
asset.
max_shares : int, optional
The maximum number of shares that can be ordered at one time.
max_notional : float, optional
The maximum value that can be ordered at one time.
"""
def set_max_position_size(asset=None, max_shares=None, max_notional=None, on_error='fail'):
"""Set a limit on the number of shares and/or dollar value held for the
given sid. Limits are treated as absolute values and are enforced at
the time that the algo attempts to place an order for sid. This means
that it's possible to end up with more than the max number of shares
due to splits/dividends, and more than the max notional due to price
improvement.
If an algorithm attempts to place an order that would result in
increasing the absolute value of shares/dollar value exceeding one of
these limits, raise a TradingControlException.
Parameters
----------
asset : Asset, optional
If provided, this sets the guard only on positions in the given
asset.
max_shares : int, optional
The maximum number of shares to hold for an asset.
max_notional : float, optional
The maximum value to hold for an asset.
"""
def set_slippage(slippage):
"""Set the slippage model for the simulation.
Parameters
----------
slippage : SlippageModel
The slippage model to use.
See Also
--------
:class:`catalyst.finance.slippage.SlippageModel`
"""
def set_symbol_lookup_date(dt):
"""Set the date for which symbols will be resolved to their assets
(symbols may map to different firms or underlying assets at
different times)
Parameters
----------
dt : datetime
The new symbol lookup date.
"""
def sid(sid):
"""Lookup an Asset by its unique asset identifier.
Parameters
----------
sid : int
The unique integer that identifies an asset.
Returns
-------
asset : Asset
The asset with the given ``sid``.
Raises
------
SidsNotFound
When a requested ``sid`` does not map to any asset.
"""
def symbol(symbol_str):
"""Lookup an Equity by its ticker symbol.
Parameters
----------
symbol_str : str
The ticker symbol for the equity to lookup.
Returns
-------
equity : Equity
The equity that held the ticker symbol on the current
symbol lookup date.
Raises
------
SymbolNotFound
Raised when the symbols was not held on the current lookup date.
See Also
--------
:func:`catalyst.api.set_symbol_lookup_date`
"""
def symbols(*args):
"""Lookup multuple Equities as a list.
Parameters
----------
*args : iterable[str]
The ticker symbols to lookup.
Returns
-------
equities : list[Equity]
The equities that held the given ticker symbols on the current
symbol lookup date.
Raises
------
SymbolNotFound
Raised when one of the symbols was not held on the current
lookup date.
See Also
--------
:func:`catalyst.api.set_symbol_lookup_date`
"""
catalyst/assets/__init__.py
-42
View File
@@ -1,42 +0,0 @@
#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ._assets import (
Asset,
Equity,
Future,
make_asset_array,
CACHE_FILE_TEMPLATE
)
from .assets import (
AssetFinder,
AssetConvertible,
PricingDataAssociable,
)
from .asset_db_schema import ASSET_DB_VERSION
from .asset_writer import AssetDBWriter
__all__ = [
'ASSET_DB_VERSION',
'Asset',
'AssetDBWriter',
'Equity',
'Future',
'AssetFinder',
'AssetConvertible',
'PricingDataAssociable',
'make_asset_array',
'CACHE_FILE_TEMPLATE'
]
catalyst/assets/_assets.pyx
-578
View File
@@ -1,578 +0,0 @@
# cython: embedsignature=True
#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Cythonized Asset object.
"""
cimport cython
from cpython.number cimport PyNumber_Index
from cpython.object cimport (
Py_EQ,
Py_NE,
Py_GE,
Py_LE,
Py_GT,
Py_LT,
)
from cpython cimport bool
import pandas as pd
from datetime import timedelta
import numpy as np
from numpy cimport int64_t
import warnings
cimport numpy as np
from catalyst.utils.calendars import get_calendar
from catalyst.exchange.exchange_errors import InvalidSymbolError, SidHashError
# IMPORTANT NOTE: You must change this template if you change
# Asset.__reduce__, or else we'll attempt to unpickle an old version of this
# class
CACHE_FILE_TEMPLATE = '/tmp/.%s-%s.v7.cache'
cdef class Asset:
cdef readonly int sid
# Cached hash of self.sid
cdef int sid_hash
cdef readonly object symbol
cdef readonly object asset_name
cdef readonly object start_date
cdef readonly object end_date
cdef public object first_traded
cdef readonly object auto_close_date
cdef readonly object exchange
cdef readonly object exchange_full
cdef readonly object min_trade_size
_kwargnames = frozenset({
'sid',
'symbol',
'asset_name',
'start_date',
'end_date',
'first_traded',
'auto_close_date',
'exchange',
'exchange_full',
'min_trade_size',
})
def __init__(self,
int sid, # sid is required
object exchange, # exchange is required
object symbol="",
object asset_name="",
object start_date=None,
object end_date=None,
object first_traded=None,
object auto_close_date=None,
object exchange_full=None,
object min_trade_size=None):
self.sid = sid
self.sid_hash = hash(sid)
self.symbol = symbol
self.asset_name = asset_name
self.exchange = exchange
self.exchange_full = (exchange_full if exchange_full is not None
else exchange)
self.start_date = start_date
self.end_date = end_date
self.first_traded = first_traded
self.auto_close_date = auto_close_date
self.min_trade_size = min_trade_size
def __int__(self):
return self.sid
def __index__(self):
return self.sid
def __hash__(self):
return self.sid_hash
def __richcmp__(x, y, int op):
"""
Cython rich comparison method. This is used in place of various
equality checkers in pure python.
"""
cdef int x_as_int, y_as_int
try:
x_as_int = PyNumber_Index(x)
except (TypeError, OverflowError):
return NotImplemented
try:
y_as_int = PyNumber_Index(y)
except (TypeError, OverflowError):
return NotImplemented
compared = x_as_int - y_as_int
# Handle == and != first because they're significantly more common
# operations.
if op == Py_EQ:
return compared == 0
elif op == Py_NE:
return compared != 0
elif op == Py_LT:
return compared < 0
elif op == Py_LE:
return compared <= 0
elif op == Py_GT:
return compared > 0
elif op == Py_GE:
return compared >= 0
else:
raise AssertionError('%d is not an operator' % op)
def __str__(self):
if self.symbol:
return '%s(%d [%s])' % (type(self).__name__, self.sid, self.symbol)
else:
return '%s(%d)' % (type(self).__name__, self.sid)
def __repr__(self):
attrs = ('symbol', 'asset_name', 'exchange',
'start_date', 'end_date', 'first_traded', 'auto_close_date',
'min_trade_size')
tuples = ((attr, repr(getattr(self, attr, None)))
for attr in attrs)
strings = ('%s=%s' % (t[0], t[1]) for t in tuples)
params = ', '.join(strings)
return 'Asset(%d, %s)' % (self.sid, params)
cpdef __reduce__(self):
"""
Function used by pickle to determine how to serialize/deserialize this
class. Should return a tuple whose first element is self.__class__,
and whose second element is a tuple of all the attributes that should
be serialized/deserialized during pickling.
"""
return (self.__class__, (self.sid,
self.exchange,
self.symbol,
self.asset_name,
self.start_date,
self.end_date,
self.first_traded,
self.auto_close_date,
self.exchange_full,
self.min_trade_size))
cpdef to_dict(self):
"""
Convert to a python dict.
"""
return {
'sid': self.sid,
'symbol': self.symbol,
'asset_name': self.asset_name,
'start_date': self.start_date,
'end_date': self.end_date,
'first_traded': self.first_traded,
'auto_close_date': self.auto_close_date,
'exchange': self.exchange,
'exchange_full': self.exchange_full,
'min_trade_size': self.min_trade_size
}
@classmethod
def from_dict(cls, dict_):
"""
Build an Asset instance from a dict.
"""
return cls(**dict_)
def is_alive_for_session(self, session_label):
"""
Returns whether the asset is alive at the given dt.
Parameters
----------
session_label: pd.Timestamp
The desired session label to check. (midnight UTC)
Returns
-------
boolean: whether the asset is alive at the given dt.
"""
cdef int64_t ref_start
cdef int64_t ref_end
ref_start = self.start_date.value
ref_end = self.end_date.value
return ref_start <= session_label.value <= ref_end
def is_exchange_open(self, dt_minute):
"""
Parameters
----------
dt_minute: pd.Timestamp (UTC, tz-aware)
The minute to check.
Returns
-------
boolean: whether the asset's exchange is open at the given minute.
"""
calendar = get_calendar(self.exchange)
return calendar.is_open_on_minute(dt_minute)
cdef class Equity(Asset):
def __repr__(self):
attrs = ('symbol', 'asset_name', 'exchange',
'start_date', 'end_date', 'first_traded', 'auto_close_date',
'exchange_full', 'min_trade_size')
tuples = ((attr, repr(getattr(self, attr, None)))
for attr in attrs)
strings = ('%s=%s' % (t[0], t[1]) for t in tuples)
params = ', '.join(strings)
return 'Equity(%d, %s)' % (self.sid, params)
property security_start_date:
"""
DEPRECATION: This property should be deprecated and is only present for
backwards compatibility
"""
def __get__(self):
warnings.warn("The security_start_date property will soon be "
"retired. Please use the start_date property instead.",
DeprecationWarning)
return self.start_date
property security_end_date:
"""
DEPRECATION: This property should be deprecated and is only present for
backwards compatibility
"""
def __get__(self):
warnings.warn("The security_end_date property will soon be "
"retired. Please use the end_date property instead.",
DeprecationWarning)
return self.end_date
property security_name:
"""
DEPRECATION: This property should be deprecated and is only present for
backwards compatibility
"""
def __get__(self):
warnings.warn("The security_name property will soon be "
"retired. Please use the asset_name property instead.",
DeprecationWarning)
return self.asset_name
cdef class Future(Asset):
cdef readonly object root_symbol
cdef readonly object notice_date
cdef readonly object expiration_date
cdef readonly object tick_size
cdef readonly float multiplier
_kwargnames = frozenset({
'sid',
'symbol',
'root_symbol',
'asset_name',
'start_date',
'end_date',
'notice_date',
'expiration_date',
'auto_close_date',
'first_traded',
'exchange',
'tick_size',
'multiplier',
'exchange_full',
})
def __init__(self,
int sid, # sid is required
object exchange, # exchange is required
object symbol="",
object root_symbol="",
object asset_name="",
object start_date=None,
object end_date=None,
object notice_date=None,
object expiration_date=None,
object auto_close_date=None,
object first_traded=None,
object tick_size="",
float multiplier=1.0,
object exchange_full=None):
super().__init__(
sid,
exchange,
symbol=symbol,
asset_name=asset_name,
start_date=start_date,
end_date=end_date,
first_traded=first_traded,
auto_close_date=auto_close_date,
exchange_full=exchange_full,
)
self.root_symbol = root_symbol
self.notice_date = notice_date
self.expiration_date = expiration_date
self.tick_size = tick_size
self.multiplier = multiplier
if auto_close_date is None:
if notice_date is None:
self.auto_close_date = expiration_date
elif expiration_date is None:
self.auto_close_date = notice_date
else:
self.auto_close_date = min(notice_date, expiration_date)
def __repr__(self):
attrs = ('symbol', 'root_symbol', 'asset_name', 'exchange',
'start_date', 'end_date', 'first_traded', 'notice_date',
'expiration_date', 'auto_close_date', 'tick_size',
'multiplier', 'exchange_full')
tuples = ((attr, repr(getattr(self, attr, None)))
for attr in attrs)
strings = ('%s=%s' % (t[0], t[1]) for t in tuples)
params = ', '.join(strings)
return 'Future(%d, %s)' % (self.sid, params)
cpdef __reduce__(self):
"""
Function used by pickle to determine how to serialize/deserialize this
class. Should return a tuple whose first element is self.__class__,
and whose second element is a tuple of all the attributes that should
be serialized/deserialized during pickling.
"""
return (self.__class__, (self.sid,
self.exchange,
self.symbol,
self.root_symbol,
self.asset_name,
self.start_date,
self.end_date,
self.notice_date,
self.expiration_date,
self.auto_close_date,
self.first_traded,
self.tick_size,
self.multiplier,
self.exchange_full))
cpdef to_dict(self):
"""
Convert to a python dict.
"""
super_dict = super(Future, self).to_dict()
super_dict['root_symbol'] = self.root_symbol
super_dict['notice_date'] = self.notice_date
super_dict['expiration_date'] = self.expiration_date
super_dict['tick_size'] = self.tick_size
super_dict['multiplier'] = self.multiplier
return super_dict
cdef class TradingPair(Asset):
cdef readonly float leverage
cdef readonly object market_currency
cdef readonly object base_currency
cdef readonly object end_daily
cdef readonly object end_minute
cdef readonly object exchange_symbol
_kwargnames = frozenset({
'sid',
'symbol',
'asset_name',
'start_date',
'end_date',
'first_traded',
'auto_close_date',
'exchange',
'exchange_full',
'leverage',
'market_currency',
'base_currency',
'end_daily',
'end_minute',
'exchange_symbol',
'min_trade_size'
})
def __init__(self,
object symbol,
object exchange,
object start_date=None,
object asset_name=None,
int sid=0,
float leverage=1.0,
object end_daily=None,
object end_minute=None,
object end_date=None,
object exchange_symbol=None,
object first_traded=None,
object auto_close_date=None,
object exchange_full=None,
object min_trade_size=None):
"""
Replicates the Asset constructor with some built-in conventions
and a new 'leverage' attribute.
Symbol
------
Catalyst defines its own set of "universal" symbols to reference
trading pairs across exchanges. This is required because exchanges
are not adhering to a universal symbolism. For example, Bitfinex
uses the BTC symbol for Bitcon while Kraken uses XBT. In addition,
pairs are sometimes presented differently. For example, Bitfinex
puts the market currency before the base currency without a
separator, Bittrex puts the base currency first and uses a dash
seperator.
Here is the Catalyst convention: [Market Currency]_[Base Currency]
For example: btc_usd, eth_btc, neo_eth, ltc_eur.
The symbol for each currency (e.g. btc, eth, ltc) is generally
aligned with the Bittrex exchange.
Sid
---
The sid of each asset is calculated based on a numeric hash of the
universal symbol. This simple approach avoids maintaining a mapping
of sids.
Leverage
--------
In contrast with equities, crypto exchanges generally assign
leverage values to specific trading pairs. Pairs with the
highest volume and market cap generally benefit from high leverage.
New currencies from ICO generally cannot be leveraged.
The leverage value is either None or and integer.
Leverage allows you to open a larger position with a smaller amount
of funds. For example, if you open a $5,000 position in BTC/USD
with 5:1 leverage, only one-fifth of this amount, or $1000, will be
tied to the position from your balance. Your remaining balance will
be available for opening more positions. If you open this same
position with 2:1 leverage, $2,500 of your balance will be tied to
the position. If you open with 1:1 leverage, $5,000 of your balance
will be tied to the position.
:param symbol:
:param exchange:
:param start_date:
:param asset_name:
:param sid:
:param leverage:
:param end_daily
:param end_minute
:param end_date:
:param exchange_symbol:
:param first_traded:
:param auto_close_date:
:param exchange_full:
:param min_trade_size:
"""
symbol = symbol.lower()
try:
self.market_currency, self.base_currency = symbol.split('_')
except Exception as e:
raise InvalidSymbolError(symbol=symbol, error=e)
if sid == 0 or sid is None:
try:
sid = abs(hash(symbol)) % (10 ** 4)
except Exception as e:
raise SidHashError(symbol=symbol)
if asset_name is None:
asset_name = ' / '.join(symbol.split('_')).upper()
if start_date is None:
start_date = pd.Timestamp.utcnow()
if end_date is None:
end_date = pd.Timestamp.utcnow() + timedelta(days=365)
super().__init__(
sid,
exchange,
symbol=symbol,
asset_name=asset_name,
start_date=start_date,
end_date=end_date,
first_traded=first_traded,
auto_close_date=auto_close_date,
exchange_full=exchange_full,
min_trade_size=min_trade_size
)
self.leverage = leverage
self.end_daily = end_daily
self.end_minute = end_minute
self.exchange_symbol = exchange_symbol
def __repr__(self):
return 'Trading Pair {symbol}({sid}) Exchange: {exchange}, ' \
'Introduced On: {start_date}, ' \
'Market Currency: {market_currency}, ' \
'Base Currency: {base_currency}, ' \
'Exchange Leverage: {leverage}, ' \
'Minimum Trade Size: {min_trade_size} ' \
'Last daily ingestion: {end_daily} ' \
'Last minutely ingestion: {end_minute}'.format(
symbol=self.symbol,
sid=self.sid,
exchange=self.exchange,
start_date=self.start_date,
market_currency=self.market_currency,
base_currency=self.base_currency,
leverage=self.leverage,
min_trade_size=self.min_trade_size,
end_daily=self.end_daily,
end_minute=self.end_minute
)
cpdef __reduce__(self):
"""
Function used by pickle to determine how to serialize/deserialize this
class. Should return a tuple whose first element is self.__class__,
and whose second element is a tuple of all the attributes that should
be serialized/deserialized during pickling.
"""
return (self.__class__, (self.symbol,
self.exchange,
self.start_date,
self.asset_name,
self.sid,
self.leverage,
self.end_date,
self.first_traded,
self.auto_close_date,
self.exchange_full,
self.min_trade_size))
def make_asset_array(int size, Asset asset):
cdef np.ndarray out = np.empty([size], dtype=object)
out.fill(asset)
return out
catalyst/assets/asset_db_migrations.py
-316
View File
@@ -1,316 +0,0 @@
from functools import wraps
from alembic.migration import MigrationContext
from alembic.operations import Operations
import sqlalchemy as sa
from toolz.curried import do, operator as op
from catalyst.assets.asset_writer import write_version_info
from catalyst.errors import AssetDBImpossibleDowngrade
from catalyst.utils.preprocess import preprocess
from catalyst.utils.sqlite_utils import coerce_string_to_eng
@preprocess(engine=coerce_string_to_eng)
def downgrade(engine, desired_version):
"""Downgrades the assets db at the given engine to the desired version.
Parameters
----------
engine : Engine
An SQLAlchemy engine to the assets database.
desired_version : int
The desired resulting version for the assets database.
"""
# Check the version of the db at the engine
with engine.begin() as conn:
metadata = sa.MetaData(conn)
metadata.reflect()
version_info_table = metadata.tables['version_info']
starting_version = sa.select((version_info_table.c.version,)).scalar()
# Check for accidental upgrade
if starting_version < desired_version:
raise AssetDBImpossibleDowngrade(db_version=starting_version,
desired_version=desired_version)
# Check if the desired version is already the db version
if starting_version == desired_version:
# No downgrade needed
return
# Create alembic context
ctx = MigrationContext.configure(conn)
op = Operations(ctx)
# Integer keys of downgrades to run
# E.g.: [5, 4, 3, 2] would downgrade v6 to v2
downgrade_keys = range(desired_version, starting_version)[::-1]
# Disable foreign keys until all downgrades are complete
_pragma_foreign_keys(conn, False)
# Execute the downgrades in order
for downgrade_key in downgrade_keys:
_downgrade_methods[downgrade_key](op, conn, version_info_table)
# Re-enable foreign keys
_pragma_foreign_keys(conn, True)
def _pragma_foreign_keys(connection, on):
"""Sets the PRAGMA foreign_keys state of the SQLite database. Disabling
the pragma allows for batch modification of tables with foreign keys.
Parameters
----------
connection : Connection
A SQLAlchemy connection to the db
on : bool
If true, PRAGMA foreign_keys will be set to ON. Otherwise, the PRAGMA
foreign_keys will be set to OFF.
"""
connection.execute("PRAGMA foreign_keys=%s" % ("ON" if on else "OFF"))
# This dict contains references to downgrade methods that can be applied to an
# assets db. The resulting db's version is the key.
# e.g. The method at key '0' is the downgrade method from v1 to v0
_downgrade_methods = {}
def downgrades(src):
"""Decorator for marking that a method is a downgrade to a version to the
previous version.
Parameters
----------
src : int
The version this downgrades from.
Returns
-------
decorator : callable[(callable) -> callable]
The decorator to apply.
"""
def _(f):
destination = src - 1
@do(op.setitem(_downgrade_methods, destination))
@wraps(f)
def wrapper(op, conn, version_info_table):
conn.execute(version_info_table.delete()) # clear the version
f(op)
write_version_info(conn, version_info_table, destination)
return wrapper
return _
@downgrades(1)
def _downgrade_v1(op):
"""
Downgrade assets db by removing the 'tick_size' column and renaming the
'multiplier' column.
"""
# Drop indices before batch
# This is to prevent index collision when creating the temp table
op.drop_index('ix_futures_contracts_root_symbol')
op.drop_index('ix_futures_contracts_symbol')
# Execute batch op to allow column modification in SQLite
with op.batch_alter_table('futures_contracts') as batch_op:
# Rename 'multiplier'
batch_op.alter_column(column_name='multiplier',
new_column_name='contract_multiplier')
# Delete 'tick_size'
batch_op.drop_column('tick_size')
# Recreate indices after batch
op.create_index('ix_futures_contracts_root_symbol',
table_name='futures_contracts',
columns=['root_symbol'])
op.create_index('ix_futures_contracts_symbol',
table_name='futures_contracts',
columns=['symbol'],
unique=True)
@downgrades(2)
def _downgrade_v2(op):
"""
Downgrade assets db by removing the 'auto_close_date' column.
"""
# Drop indices before batch
# This is to prevent index collision when creating the temp table
op.drop_index('ix_equities_fuzzy_symbol')
op.drop_index('ix_equities_company_symbol')
# Execute batch op to allow column modification in SQLite
with op.batch_alter_table('equities') as batch_op:
batch_op.drop_column('auto_close_date')
# Recreate indices after batch
op.create_index('ix_equities_fuzzy_symbol',
table_name='equities',
columns=['fuzzy_symbol'])
op.create_index('ix_equities_company_symbol',
table_name='equities',
columns=['company_symbol'])
@downgrades(3)
def _downgrade_v3(op):
"""
Downgrade assets db by adding a not null constraint on
``equities.first_traded``
"""
op.create_table(
'_new_equities',
sa.Column(
'sid',
sa.Integer,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column('symbol', sa.Text),
sa.Column('company_symbol', sa.Text),
sa.Column('share_class_symbol', sa.Text),
sa.Column('fuzzy_symbol', sa.Text),
sa.Column('asset_name', sa.Text),
sa.Column('start_date', sa.Integer, default=0, nullable=False),
sa.Column('end_date', sa.Integer, nullable=False),
sa.Column('first_traded', sa.Integer, nullable=False),
sa.Column('auto_close_date', sa.Integer),
sa.Column('exchange', sa.Text),
)
op.execute(
"""
insert into _new_equities
select * from equities
where equities.first_traded is not null
""",
)
op.drop_table('equities')
op.rename_table('_new_equities', 'equities')
# we need to make sure the indices have the proper names after the rename
op.create_index(
'ix_equities_company_symbol',
'equities',
['company_symbol'],
)
op.create_index(
'ix_equities_fuzzy_symbol',
'equities',
['fuzzy_symbol'],
)
@downgrades(4)
def _downgrade_v4(op):
"""
Downgrades assets db by copying the `exchange_full` column to `exchange`,
then dropping the `exchange_full` column.
"""
op.drop_index('ix_equities_fuzzy_symbol')
op.drop_index('ix_equities_company_symbol')
op.execute("UPDATE equities SET exchange = exchange_full")
with op.batch_alter_table('equities') as batch_op:
batch_op.drop_column('exchange_full')
op.create_index('ix_equities_fuzzy_symbol',
table_name='equities',
columns=['fuzzy_symbol'])
op.create_index('ix_equities_company_symbol',
table_name='equities',
columns=['company_symbol'])
@downgrades(5)
def _downgrade_v5(op):
op.create_table(
'_new_equities',
sa.Column(
'sid',
sa.Integer,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column('symbol', sa.Text),
sa.Column('company_symbol', sa.Text),
sa.Column('share_class_symbol', sa.Text),
sa.Column('fuzzy_symbol', sa.Text),
sa.Column('asset_name', sa.Text),
sa.Column('start_date', sa.Integer, default=0, nullable=False),
sa.Column('end_date', sa.Integer, nullable=False),
sa.Column('first_traded', sa.Integer),
sa.Column('auto_close_date', sa.Integer),
sa.Column('exchange', sa.Text),
sa.Column('exchange_full', sa.Text)
)
op.execute(
"""
insert into _new_equities
select
equities.sid as sid,
sym.symbol as symbol,
sym.company_symbol as company_symbol,
sym.share_class_symbol as share_class_symbol,
sym.company_symbol || sym.share_class_symbol as fuzzy_symbol,
equities.asset_name as asset_name,
equities.start_date as start_date,
equities.end_date as end_date,
equities.first_traded as first_traded,
equities.auto_close_date as auto_close_date,
equities.exchange as exchange,
equities.exchange_full as exchange_full
from
equities
inner join
-- Nested select here to take the most recently held ticker
-- for each sid. The group by with no aggregation function will
-- take the last element in the group, so we first order by
-- the end date ascending to ensure that the groupby takes
-- the last ticker.
(select
*
from
(select
*
from
equity_symbol_mappings
order by
equity_symbol_mappings.end_date asc)
group by
sid) sym
on
equities.sid == sym.sid
""",
)
op.drop_table('equity_symbol_mappings')
op.drop_table('equities')
op.rename_table('_new_equities', 'equities')
# we need to make sure the indicies have the proper names after the rename
op.create_index(
'ix_equities_company_symbol',
'equities',
['company_symbol'],
)
op.create_index(
'ix_equities_fuzzy_symbol',
'equities',
['fuzzy_symbol'],
)
@downgrades(6)
def _downgrade_v6(op):
op.drop_table('equity_supplementary_mappings')
catalyst/assets/asset_db_schema.py
-201
View File
@@ -1,201 +0,0 @@
import sqlalchemy as sa
# Define a version number for the database generated by these writers
# Increment this version number any time a change is made to the schema of the
# assets database
# NOTE: When upgrading this remember to add a downgrade in:
# .asset_db_migrations
ASSET_DB_VERSION = 6
# A frozenset of the names of all tables in the assets db
# NOTE: When modifying this schema, update the ASSET_DB_VERSION value
asset_db_table_names = frozenset({
'asset_router',
'equities',
'equity_symbol_mappings',
'equity_supplementary_mappings',
'futures_contracts',
'futures_exchanges',
'futures_root_symbols',
'version_info',
})
metadata = sa.MetaData()
equities = sa.Table(
'equities',
metadata,
sa.Column(
'sid',
sa.Integer,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column('asset_name', sa.Text),
sa.Column('start_date', sa.Integer, default=0, nullable=False),
sa.Column('end_date', sa.Integer, nullable=False),
sa.Column('first_traded', sa.Integer),
sa.Column('auto_close_date', sa.Integer),
sa.Column('exchange', sa.Text),
sa.Column('exchange_full', sa.Text),
sa.Column('min_trade_size', sa.Float)
)
equity_symbol_mappings = sa.Table(
'equity_symbol_mappings',
metadata,
sa.Column(
'id',
sa.Integer,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column(
'sid',
sa.Integer,
sa.ForeignKey(equities.c.sid),
nullable=False,
index=True,
),
sa.Column(
'symbol',
sa.Text,
nullable=False,
),
sa.Column(
'company_symbol',
sa.Text,
index=True,
),
sa.Column(
'share_class_symbol',
sa.Text,
),
sa.Column(
'start_date',
sa.Integer,
nullable=False,
),
sa.Column(
'end_date',
sa.Integer,
nullable=False,
),
)
equity_supplementary_mappings = sa.Table(
'equity_supplementary_mappings',
metadata,
sa.Column(
'sid',
sa.Integer,
sa.ForeignKey(equities.c.sid),
nullable=False,
primary_key=True
),
sa.Column('field', sa.Text, nullable=False, primary_key=True),
sa.Column('start_date', sa.Integer, nullable=False, primary_key=True),
sa.Column('end_date', sa.Integer, nullable=False),
sa.Column('value', sa.Text, nullable=False),
)
futures_exchanges = sa.Table(
'futures_exchanges',
metadata,
sa.Column(
'exchange',
sa.Text,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column('timezone', sa.Text),
)
futures_root_symbols = sa.Table(
'futures_root_symbols',
metadata,
sa.Column(
'root_symbol',
sa.Text,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column('root_symbol_id', sa.Integer),
sa.Column('sector', sa.Text),
sa.Column('description', sa.Text),
sa.Column(
'exchange',
sa.Text,
sa.ForeignKey('futures_exchanges.exchange'),
),
)
futures_contracts = sa.Table(
'futures_contracts',
metadata,
sa.Column(
'sid',
sa.Integer,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column('symbol', sa.Text, unique=True, index=True),
sa.Column(
'root_symbol',
sa.Text,
sa.ForeignKey('futures_root_symbols.root_symbol'),
index=True
),
sa.Column('asset_name', sa.Text),
sa.Column('start_date', sa.Integer, default=0, nullable=False),
sa.Column('end_date', sa.Integer, nullable=False),
sa.Column('first_traded', sa.Integer),
sa.Column(
'exchange',
sa.Text,
sa.ForeignKey('futures_exchanges.exchange'),
),
sa.Column('notice_date', sa.Integer, nullable=False),
sa.Column('expiration_date', sa.Integer, nullable=False),
sa.Column('auto_close_date', sa.Integer, nullable=False),
sa.Column('multiplier', sa.Float),
sa.Column('tick_size', sa.Float),
)
asset_router = sa.Table(
'asset_router',
metadata,
sa.Column(
'sid',
sa.Integer,
unique=True,
nullable=False,
primary_key=True),
sa.Column('asset_type', sa.Text),
)
version_info = sa.Table(
'version_info',
metadata,
sa.Column(
'id',
sa.Integer,
unique=True,
nullable=False,
primary_key=True,
),
sa.Column(
'version',
sa.Integer,
unique=True,
nullable=False,
),
# This constraint ensures a single entry in this table
sa.CheckConstraint('id <= 1'),
)
catalyst/assets/asset_writer.py
-740
View File
@@ -1,740 +0,0 @@
#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from collections import namedtuple
import re
from contextlib2 import ExitStack
import numpy as np
import pandas as pd
import sqlalchemy as sa
from toolz import first
from catalyst.errors import AssetDBVersionError
from catalyst.assets.asset_db_schema import (
ASSET_DB_VERSION,
asset_db_table_names,
asset_router,
equities as equities_table,
equity_symbol_mappings,
equity_supplementary_mappings as equity_supplementary_mappings_table,
futures_contracts as futures_contracts_table,
futures_exchanges,
futures_root_symbols,
metadata,
version_info,
)
from catalyst.utils.preprocess import preprocess
from catalyst.utils.range import from_tuple, intersecting_ranges
from catalyst.utils.sqlite_utils import coerce_string_to_eng
# Define a namedtuple for use with the load_data and _load_data methods
AssetData = namedtuple(
'AssetData', (
'equities',
'equities_mappings',
'futures',
'exchanges',
'root_symbols',
'equity_supplementary_mappings',
),
)
SQLITE_MAX_VARIABLE_NUMBER = 999
symbol_columns = frozenset({
'symbol',
'company_symbol',
'share_class_symbol',
})
mapping_columns = symbol_columns | {'start_date', 'end_date'}
# Default values for the equities DataFrame
_equities_defaults = {
'symbol': None,
'asset_name': None,
'start_date': 0,
'end_date': np.iinfo(np.int64).max,
'first_traded': None,
'auto_close_date': None,
# the canonical exchange name, like "NYSE"
'exchange': None,
# optional, something like "New York Stock Exchange"
'exchange_full': None,
'min_trade_size': 1
}
# Default values for the futures DataFrame
_futures_defaults = {
'symbol': None,
'root_symbol': None,
'asset_name': None,
'start_date': 0,
'end_date': np.iinfo(np.int64).max,
'first_traded': None,
'exchange': None,
'notice_date': None,
'expiration_date': None,
'auto_close_date': None,
'tick_size': None,
'multiplier': 1,
}
# Default values for the exchanges DataFrame
_exchanges_defaults = {
'timezone': None,
}
# Default values for the root_symbols DataFrame
_root_symbols_defaults = {
'root_symbol_id': None,
'sector': None,
'description': None,
'exchange': None,
}
# Default values for the equity_supplementary_mappings DataFrame
_equity_supplementary_mappings_defaults = {
'sid': None,
'value': None,
'field': None,
'start_date': 0,
'end_date': np.iinfo(np.int64).max,
}
# Fuzzy symbol delimiters that may break up a company symbol and share class
_delimited_symbol_delimiters_regex = re.compile(r'[./\-_]')
_delimited_symbol_default_triggers = frozenset({np.nan, None, ''})
def split_delimited_symbol(symbol):
"""
Takes in a symbol that may be delimited and splits it in to a company
symbol and share class symbol. Also returns the fuzzy symbol, which is the
symbol without any fuzzy characters at all.
Parameters
----------
symbol : str
The possibly-delimited symbol to be split
Returns
-------
company_symbol : str
The company part of the symbol.
share_class_symbol : str
The share class part of a symbol.
"""
# return blank strings for any bad fuzzy symbols, like NaN or None
if symbol in _delimited_symbol_default_triggers:
return '', ''
symbol = symbol.upper()
split_list = re.split(
pattern=_delimited_symbol_delimiters_regex,
string=symbol,
maxsplit=1,
)
# Break the list up in to its two components, the company symbol and the
# share class symbol
company_symbol = split_list[0]
if len(split_list) > 1:
share_class_symbol = split_list[1]
else:
share_class_symbol = ''
return company_symbol, share_class_symbol
def _generate_output_dataframe(data_subset, defaults):
"""
Generates an output dataframe from the given subset of user-provided
data, the given column names, and the given default values.
Parameters
----------
data_subset : DataFrame
A DataFrame, usually from an AssetData object,
that contains the user's input metadata for the asset type being
processed
defaults : dict
A dict where the keys are the names of the columns of the desired
output DataFrame and the values are the default values to insert in the
DataFrame if no user data is provided
Returns
-------
DataFrame
A DataFrame containing all user-provided metadata, and default values
wherever user-provided metadata was missing
"""
# The columns provided.
cols = set(data_subset.columns)
desired_cols = set(defaults)
# Drop columns with unrecognised headers.
data_subset.drop(cols - desired_cols,
axis=1,
inplace=True)
# Get those columns which we need but
# for which no data has been supplied.
for col in desired_cols - cols:
# write the default value for any missing columns
data_subset[col] = defaults[col]
return data_subset
def _check_asset_group(group):
row = group.sort_values('end_date').iloc[-1]
row.start_date = group.start_date.min()
row.end_date = group.end_date.max()
row.drop(list(symbol_columns), inplace=True)
return row
def _format_range(r):
return (
str(pd.Timestamp(r.start, unit='ns')),
str(pd.Timestamp(r.stop, unit='ns')),
)
def _split_symbol_mappings(df):
"""Split out the symbol: sid mappings from the raw data.
Parameters
----------
df : pd.DataFrame
The dataframe with multiple rows for each symbol: sid pair.
Returns
-------
asset_info : pd.DataFrame
The asset info with one row per asset.
symbol_mappings : pd.DataFrame
The dataframe of just symbol: sid mappings. The index will be
the sid, then there will be three columns: symbol, start_date, and
end_date.
"""
mappings = df[list(mapping_columns)]
ambigious = {}
for symbol in mappings.symbol.unique():
persymbol = mappings[mappings.symbol == symbol]
intersections = list(intersecting_ranges(map(
from_tuple,
zip(persymbol.start_date, persymbol.end_date),
)))
if intersections:
ambigious[symbol] = (
intersections,
persymbol[['start_date', 'end_date']].astype('datetime64[ns]'),
)
if ambigious:
raise ValueError(
'Ambiguous ownership for %d symbol%s, multiple assets held the'
' following symbols:\n%s' % (
len(ambigious),
'' if len(ambigious) == 1 else 's',
'\n'.join(
'%s:\n intersections: %s\n %s' % (
symbol,
tuple(map(_format_range, intersections)),
# indent the dataframe string
'\n '.join(str(df).splitlines()),
)
for symbol, (intersections, df) in sorted(
ambigious.items(),
key=first,
),
),
)
)
return (
df.groupby(level=0).apply(_check_asset_group),
df[list(mapping_columns)],
)
def _dt_to_epoch_ns(dt_series):
"""Convert a timeseries into an Int64Index of nanoseconds since the epoch.
Parameters
----------
dt_series : pd.Series
The timeseries to convert.
Returns
-------
idx : pd.Int64Index
The index converted to nanoseconds since the epoch.
"""
index = pd.to_datetime(dt_series.values)
if index.tzinfo is None:
index = index.tz_localize('UTC')
else:
index = index.tz_convert('UTC')
return index.view(np.int64)
def check_version_info(conn, version_table, expected_version):
"""
Checks for a version value in the version table.
Parameters
----------
conn : sa.Connection
The connection to use to perform the check.
version_table : sa.Table
The version table of the asset database
expected_version : int
The expected version of the asset database
Raises
------
AssetDBVersionError
If the version is in the table and not equal to ASSET_DB_VERSION.
"""
# Read the version out of the table
version_from_table = conn.execute(
sa.select((version_table.c.version,)),
).scalar()
# A db without a version is considered v0
if version_from_table is None:
version_from_table = 0
# Raise an error if the versions do not match
if (version_from_table != expected_version):
raise AssetDBVersionError(db_version=version_from_table,
expected_version=expected_version)
def write_version_info(conn, version_table, version_value):
"""
Inserts the version value in to the version table.
Parameters
----------
conn : sa.Connection
The connection to use to execute the insert.
version_table : sa.Table
The version table of the asset database
version_value : int
The version to write in to the database
"""
conn.execute(sa.insert(version_table, values={'version': version_value}))
class _empty(object):
columns = ()
class AssetDBWriter(object):
"""Class used to write data to an assets db.
Parameters
----------
engine : Engine or str
An SQLAlchemy engine or path to a SQL database.
"""
DEFAULT_CHUNK_SIZE = SQLITE_MAX_VARIABLE_NUMBER
@preprocess(engine=coerce_string_to_eng)
def __init__(self, engine):
self.engine = engine
def write(self,
equities=None,
futures=None,
exchanges=None,
root_symbols=None,
equity_supplementary_mappings=None,
chunk_size=DEFAULT_CHUNK_SIZE):
"""Write asset metadata to a sqlite database.
Parameters
----------
equities : pd.DataFrame, optional
The equity metadata. The columns for this dataframe are:
symbol : str
The ticker symbol for this equity.
asset_name : str
The full name for this asset.
start_date : datetime
The date when this asset was created.
end_date : datetime, optional
The last date we have trade data for this asset.
first_traded : datetime, optional
The first date we have trade data for this asset.
auto_close_date : datetime, optional
The date on which to close any positions in this asset.
exchange : str
The exchange where this asset is traded.
min_trade_size: float, optional
The minimum denomination this asset can be traded.
The index of this dataframe should contain the sids.
futures : pd.DataFrame, optional
The future contract metadata. The columns for this dataframe are:
symbol : str
The ticker symbol for this futures contract.
root_symbol : str
The root symbol, or the symbol with the expiration stripped
out.
asset_name : str
The full name for this asset.
start_date : datetime, optional
The date when this asset was created.
end_date : datetime, optional
The last date we have trade data for this asset.
first_traded : datetime, optional
The first date we have trade data for this asset.
exchange : str
The exchange where this asset is traded.
notice_date : datetime
The date when the owner of the contract may be forced
to take physical delivery of the contract's asset.
expiration_date : datetime
The date when the contract expires.
auto_close_date : datetime
The date when the broker will automatically close any
positions in this contract.
tick_size : float
The minimum price movement of the contract.
multiplier: float
The amount of the underlying asset represented by this
contract.
exchanges : pd.DataFrame, optional
The exchanges where assets can be traded. The columns of this
dataframe are:
exchange : str
The name of the exchange.
timezone : str
The timezone of the exchange.
root_symbols : pd.DataFrame, optional
The root symbols for the futures contracts. The columns for this
dataframe are:
root_symbol : str
The root symbol name.
root_symbol_id : int
The unique id for this root symbol.
sector : string, optional
The sector of this root symbol.
description : string, optional
A short description of this root symbol.
exchange : str
The exchange where this root symbol is traded.
equity_supplementary_mappings : pd.DataFrame, optional
Additional mappings from values of abitrary type to assets.
chunk_size : int, optional
The amount of rows to write to the SQLite table at once.
This defaults to the default number of bind params in sqlite.
If you have compiled sqlite3 with more bind or less params you may
want to pass that value here.
See Also
--------
catalyst.assets.asset_finder
"""
with self.engine.begin() as conn:
# Create SQL tables if they do not exist.
self.init_db(conn)
# Get the data to add to SQL.
data = self._load_data(
equities if equities is not None else pd.DataFrame(),
futures if futures is not None else pd.DataFrame(),
exchanges if exchanges is not None else pd.DataFrame(),
root_symbols if root_symbols is not None else pd.DataFrame(),
(
equity_supplementary_mappings
if equity_supplementary_mappings is not None
else pd.DataFrame()
),
)
# Write the data to SQL.
self._write_df_to_table(
futures_exchanges,
data.exchanges,
conn,
chunk_size,
)
self._write_df_to_table(
futures_root_symbols,
data.root_symbols,
conn,
chunk_size,
)
self._write_df_to_table(
equity_supplementary_mappings_table,
data.equity_supplementary_mappings,
conn,
chunk_size,
idx=False,
)
self._write_assets(
'future',
data.futures,
conn,
chunk_size,
)
self._write_assets(
'equity',
data.equities,
conn,
chunk_size,
mapping_data=data.equities_mappings,
)
def _write_df_to_table(
self,
tbl,
df,
txn,
chunk_size,
idx=True,
idx_label=None,
):
df.to_sql(
tbl.name,
txn.connection,
index=idx,
index_label=(
idx_label
if idx_label is not None else
first(tbl.primary_key.columns).name
),
if_exists='append',
chunksize=chunk_size,
)
def _write_assets(self,
asset_type,
assets,
txn,
chunk_size,
mapping_data=None):
if asset_type == 'future':
tbl = futures_contracts_table
if mapping_data is not None:
raise TypeError('no mapping data expected for futures')
elif asset_type == 'equity':
tbl = equities_table
if mapping_data is None:
raise TypeError('mapping data required for equities')
# write the symbol mapping data.
self._write_df_to_table(
equity_symbol_mappings,
mapping_data,
txn,
chunk_size,
idx_label='sid',
)
else:
raise ValueError(
"asset_type must be in {'future', 'equity'}, got: %s" %
asset_type,
)
self._write_df_to_table(tbl, assets, txn, chunk_size)
pd.DataFrame({
asset_router.c.sid.name: assets.index.values,
asset_router.c.asset_type.name: asset_type,
}).to_sql(
asset_router.name,
txn.connection,
if_exists='append',
index=False,
chunksize=chunk_size
)
def _all_tables_present(self, txn):
"""
Checks if any tables are present in the current assets database.
Parameters
----------
txn : Transaction
The open transaction to check in.
Returns
-------
has_tables : bool
True if any tables are present, otherwise False.
"""
conn = txn.connect()
for table_name in asset_db_table_names:
if txn.dialect.has_table(conn, table_name):
return True
return False
def init_db(self, txn=None):
"""Connect to database and create tables.
Parameters
----------
txn : sa.engine.Connection, optional
The transaction to execute in. If this is not provided, a new
transaction will be started with the engine provided.
Returns
-------
metadata : sa.MetaData
The metadata that describes the new assets db.
"""
with ExitStack() as stack:
if txn is None:
txn = stack.enter_context(self.engine.begin())
tables_already_exist = self._all_tables_present(txn)
# Create the SQL tables if they do not already exist.
metadata.create_all(txn, checkfirst=True)
if tables_already_exist:
check_version_info(txn, version_info, ASSET_DB_VERSION)
else:
write_version_info(txn, version_info, ASSET_DB_VERSION)
def _normalize_equities(self, equities):
# HACK: If 'company_name' is provided, map it to asset_name
if ('company_name' in equities.columns and
'asset_name' not in equities.columns):
equities['asset_name'] = equities['company_name']
# remap 'file_name' to 'symbol' if provided
if 'file_name' in equities.columns:
equities['symbol'] = equities['file_name']
equities_output = _generate_output_dataframe(
data_subset=equities,
defaults=_equities_defaults,
)
# Split symbols to company_symbols and share_class_symbols
tuple_series = equities_output['symbol'].apply(split_delimited_symbol)
split_symbols = pd.DataFrame(
tuple_series.tolist(),
columns=['company_symbol', 'share_class_symbol'],
index=tuple_series.index
)
equities_output = pd.concat((equities_output, split_symbols), axis=1)
# Upper-case all symbol data
for col in symbol_columns:
equities_output[col] = equities_output[col].str.upper()
# Convert date columns to UNIX Epoch integers (nanoseconds)
for col in ('start_date',
'end_date',
'first_traded',
'auto_close_date'):
equities_output[col] = _dt_to_epoch_ns(equities_output[col])
return _split_symbol_mappings(equities_output)
def _normalize_futures(self, futures):
futures_output = _generate_output_dataframe(
data_subset=futures,
defaults=_futures_defaults,
)
for col in ('symbol', 'root_symbol'):
futures_output[col] = futures_output[col].str.upper()
for col in ('start_date',
'end_date',
'first_traded',
'notice_date',
'expiration_date',
'auto_close_date'):
futures_output[col] = _dt_to_epoch_ns(futures_output[col])
return futures_output
def _normalize_equity_supplementary_mappings(self, mappings):
mappings_output = _generate_output_dataframe(
data_subset=mappings,
defaults=_equity_supplementary_mappings_defaults,
)
for col in ('start_date', 'end_date'):
mappings_output[col] = _dt_to_epoch_ns(mappings_output[col])
return mappings_output
def _load_data(
self,
equities,
futures,
exchanges,
root_symbols,
equity_supplementary_mappings,
):
"""
Returns a standard set of pandas.DataFrames:
equities, futures, exchanges, root_symbols
"""
# Check whether identifier columns have been provided.
# If they have, set the index to this column.
# If not, assume the index already cotains the identifier information.
for df, id_col in [(equities, 'sid'),
(futures, 'sid'),
(exchanges, 'exchange'),
(root_symbols, 'root_symbol')]:
if id_col in df.columns:
df.set_index(id_col, inplace=True)
equities_output, equities_mappings = self._normalize_equities(equities)
futures_output = self._normalize_futures(futures)
equity_supplementary_mappings_output = (
self._normalize_equity_supplementary_mappings(
equity_supplementary_mappings,
)
)
exchanges_output = _generate_output_dataframe(
data_subset=exchanges,
defaults=_exchanges_defaults,
)
root_symbols_output = _generate_output_dataframe(
data_subset=root_symbols,
defaults=_root_symbols_defaults,
)
return AssetData(
equities=equities_output,
equities_mappings=equities_mappings,
futures=futures_output,
exchanges=exchanges_output,
root_symbols=root_symbols_output,
equity_supplementary_mappings=equity_supplementary_mappings_output,
)
catalyst/assets/assets.py
-1419
View File
File diff suppressed because it is too large Load Diff
catalyst/assets/continuous_futures.pyx
-423
View File
@@ -1,423 +0,0 @@
# cython: embedsignature=True
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Cythonized ContinuousFutures object.
"""
cimport cython
from cpython.number cimport PyNumber_Index
from cpython.object cimport (
Py_EQ,
Py_NE,
Py_GE,
Py_LE,
Py_GT,
Py_LT,
)
from cpython cimport bool
from functools import partial
from numpy import array, empty, iinfo
from numpy cimport long_t, int64_t
from pandas import Timestamp
import warnings
from catalyst.utils.calendars import get_calendar
def delivery_predicate(codes, contract):
# This relies on symbols that are construct following a pattern of
# root symbol + delivery code + year, e.g. PLF16
# This check would be more robust if the future contract class had
# a 'delivery_month' member.
delivery_code = contract.symbol[-3]
return delivery_code in codes
march_cycle_delivery_predicate = partial(delivery_predicate,
set(['H', 'M', 'U', 'Z']))
CHAIN_PREDICATES = {
'ME': march_cycle_delivery_predicate,
'PL': partial(delivery_predicate, set(['F', 'J', 'N', 'V'])),
'PA': march_cycle_delivery_predicate,
# The majority of trading in these currency futures is done on a
# March quarterly cycle (Mar, Jun, Sep, Dec) but contracts are
# listed for the first 3 consecutive months from the present day. We
# want the continuous futures to be composed of just the quarterly
# contracts.
'JY': march_cycle_delivery_predicate,
'CD': march_cycle_delivery_predicate,
'AD': march_cycle_delivery_predicate,
'BP': march_cycle_delivery_predicate,
# Gold and silver contracts trade on an unusual specific set of months.
'GC': partial(delivery_predicate, set(['G', 'J', 'M', 'Q', 'V', 'Z'])),
'XG': partial(delivery_predicate, set(['G', 'J', 'M', 'Q', 'V', 'Z'])),
'SV': partial(delivery_predicate, set(['H', 'K', 'N', 'U', 'Z'])),
'YS': partial(delivery_predicate, set(['H', 'K', 'N', 'U', 'Z'])),
}
ADJUSTMENT_STYLES = {'add', 'mul', None}
cdef class ContinuousFuture:
"""
Represents a specifier for a chain of future contracts, where the
coordinates for the chain are:
root_symbol : str
The root symbol of the contracts.
offset : int
The distance from the primary chain.
e.g. 0 specifies the primary chain, 1 the secondary, etc.
roll_style : str
How rolls from contract to contract should be calculated.
Currently supports 'calendar'.
Instances of this class are exposed to the algorithm.
"""
cdef readonly long_t sid
# Cached hash of self.sid
cdef long_t sid_hash
cdef readonly object root_symbol
cdef readonly int offset
cdef readonly object roll_style
cdef readonly object start_date
cdef readonly object end_date
cdef readonly object exchange
cdef readonly object adjustment
_kwargnames = frozenset({
'sid',
'root_symbol',
'offset',
'start_date',
'end_date',
'exchange',
})
def __init__(self,
long_t sid, # sid is required
object root_symbol,
int offset,
object roll_style,
object start_date,
object end_date,
object exchange,
object adjustment=None):
self.sid = sid
self.sid_hash = hash(sid)
self.root_symbol = root_symbol
self.roll_style = roll_style
self.offset = offset
self.exchange = exchange
self.start_date = start_date
self.end_date = end_date
self.adjustment = adjustment
def __int__(self):
return self.sid
def __index__(self):
return self.sid
def __hash__(self):
return self.sid_hash
def __richcmp__(x, y, int op):
"""
Cython rich comparison method. This is used in place of various
equality checkers in pure python.
"""
cdef long_t x_as_int, y_as_int
try:
x_as_int = PyNumber_Index(x)
except (TypeError, OverflowError):
return NotImplemented
try:
y_as_int = PyNumber_Index(y)
except (TypeError, OverflowError):
return NotImplemented
compared = x_as_int - y_as_int
# Handle == and != first because they're significantly more common
# operations.
if op == Py_EQ:
return compared == 0
elif op == Py_NE:
return compared != 0
elif op == Py_LT:
return compared < 0
elif op == Py_LE:
return compared <= 0
elif op == Py_GT:
return compared > 0
elif op == Py_GE:
return compared >= 0
else:
raise AssertionError('%d is not an operator' % op)
def __str__(self):
return '%s(%d [%s, %s, %s, %s])' % (
type(self).__name__,
self.sid,
self.root_symbol,
self.offset,
self.roll_style,
self.adjustment,
)
def __repr__(self):
attrs = ('root_symbol', 'offset', 'roll_style', 'adjustment')
tuples = ((attr, repr(getattr(self, attr, None)))
for attr in attrs)
strings = ('%s=%s' % (t[0], t[1]) for t in tuples)
params = ', '.join(strings)
return 'ContinuousFuture(%d, %s)' % (self.sid, params)
cpdef __reduce__(self):
"""
Function used by pickle to determine how to serialize/deserialize this
class. Should return a tuple whose first element is self.__class__,
and whose second element is a tuple of all the attributes that should
be serialized/deserialized during pickling.
"""
return (self.__class__, (self.sid,
self.root_symbol,
self.start_date,
self.end_date,
self.offset,
self.roll_style,
self.exchange))
cpdef to_dict(self):
"""
Convert to a python dict.
"""
return {
'sid': self.sid,
'root_symbol': self.root_symbol,
'start_date': self.start_date,
'end_date': self.end_date,
'offset': self.offset,
'roll_style': self.roll_style,
'exchange': self.exchange,
}
@classmethod
def from_dict(cls, dict_):
"""
Build an ContinuousFuture instance from a dict.
"""
return cls(**dict_)
def is_alive_for_session(self, session_label):
"""
Returns whether the continuous future is alive at the given dt.
Parameters
----------
session_label: pd.Timestamp
The desired session label to check. (midnight UTC)
Returns
-------
boolean: whether the continuous is alive at the given dt.
"""
cdef int64_t ref_start
cdef int64_t ref_end
ref_start = self.start_date.value
ref_end = self.end_date.value
return ref_start <= session_label.value <= ref_end
def is_exchange_open(self, dt_minute):
"""
Parameters
----------
dt_minute: pd.Timestamp (UTC, tz-aware)
The minute to check.
Returns
-------
boolean: whether the continuous futures's exchange is open at the
given minute.
"""
calendar = get_calendar(self.exchange)
return calendar.is_open_on_minute(dt_minute)
cdef class ContractNode(object):
cdef readonly object contract
cdef public object prev
cdef public object next
def __init__(self, contract):
self.contract = contract
self.prev = None
self.next = None
def __rshift__(self, offset):
i = 0
curr = self
while i < offset and curr is not None:
curr = curr.next
i += 1
return curr
def __lshift__(self, offset):
i = 0
curr = self
while i < offset and curr is not None:
curr = curr.prev
i += 1
return curr
cdef class OrderedContracts(object):
"""
A container for aligned values of a future contract chain, in sorted order
of their occurrence.
Used to get answers about contracts in relation to their auto close
dates and start dates.
Members
-------
root_symbol : str
The root symbol of the future contract chain.
contracts : deque
The contracts in the chain in order of occurrence.
start_dates : long[:]
The start dates of the contracts in the chain.
Corresponds by index with contract_sids.
auto_close_dates : long[:]
The auto close dates of the contracts in the chain.
Corresponds by index with contract_sids.
future_chain_predicates : dict
A dict mapping root symbol to a predicate function which accepts a contract
as a parameter and returns whether or not the contract should be included in the
chain.
Instances of this class are used by the simulation engine, but not
exposed to the algorithm.
"""
cdef readonly object root_symbol
cdef readonly object _head_contract
cdef readonly dict sid_to_contract
cdef readonly int64_t _start_date
cdef readonly int64_t _end_date
cdef readonly object chain_predicate
def __init__(self, object root_symbol, object contracts, object chain_predicate=None):
self.root_symbol = root_symbol
self.sid_to_contract = {}
self._start_date = iinfo('int64').max
self._end_date = 0
if chain_predicate is None:
chain_predicate = lambda x: True
self._head_contract = None
prev = None
while contracts:
contract = contracts.popleft()
# It is possible that the first contract in our list has a start
# date on or after its auto close date. In that case the contract
# is not tradable, so do not include it in the chain.
if prev is None and contract.start_date >= contract.auto_close_date:
continue
if not chain_predicate(contract):
continue
self._start_date = min(contract.start_date.value, self._start_date)
self._end_date = max(contract.end_date.value, self._end_date)
curr = ContractNode(contract)
self.sid_to_contract[contract.sid] = curr
if self._head_contract is None:
self._head_contract = curr
prev = curr
continue
curr.prev = prev
prev.next = curr
prev = curr
cpdef long_t contract_before_auto_close(self, long_t dt_value):
"""
Get the contract with next upcoming auto close date.
"""
curr = self._head_contract
while curr.next is not None:
if curr.contract.auto_close_date.value > dt_value:
break
curr = curr.next
return curr.contract.sid
cpdef contract_at_offset(self, long_t sid, Py_ssize_t offset, int64_t start_cap):
"""
Get the sid which is the given sid plus the offset distance.
An offset of 0 should be reflexive.
"""
cdef Py_ssize_t i
curr = self.sid_to_contract[sid]
i = 0
while i < offset:
if curr.next is None:
return None
curr = curr.next
i += 1
if curr.contract.start_date.value <= start_cap:
return curr.contract.sid
else:
return None
cpdef long_t[:] active_chain(self, long_t starting_sid, long_t dt_value):
curr = self.sid_to_contract[starting_sid]
cdef list contracts = []
while curr is not None:
if curr.contract.start_date.value <= dt_value:
contracts.append(curr.contract.sid)
curr = curr.next
return array(contracts, dtype='int64')
property start_date:
def __get__(self):
return Timestamp(self._start_date, tz='UTC')
property end_date:
def __get__(self):
return Timestamp(self._end_date, tz='UTC')
catalyst/assets/futures.py
-18
View File
@@ -1,18 +0,0 @@
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# http://www.cmegroup.com/product-codes-listing/month-codes.html
CME_CODE_TO_MONTH = dict(zip('FGHJKMNQUVXZ', range(1, 13)))
MONTH_TO_CME_CODE = dict(zip(range(1, 13), 'FGHJKMNQUVXZ'))
catalyst/assets/roll_finder.py
-201
View File
@@ -1,201 +0,0 @@
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import ABCMeta, abstractmethod
from six import with_metaclass
class RollFinder(with_metaclass(ABCMeta, object)):
"""
Abstract base class for calculating when futures contracts are the active
contract.
"""
@abstractmethod
def _active_contract(self, oc, front, back, dt):
raise NotImplementedError
def get_contract_center(self, root_symbol, dt, offset):
"""
Parameters
----------
root_symbol : str
The root symbol for the contract chain.
dt : Timestamp
The datetime for which to retrieve the current contract.
offset : int
The offset from the primary contract.
0 is the primary, 1 is the secondary, etc.
Returns
-------
Future
The active future contract at the given dt.
"""
oc = self.asset_finder.get_ordered_contracts(root_symbol)
session = self.trading_calendar.minute_to_session_label(dt)
front = oc.contract_before_auto_close(session.value)
back = oc.contract_at_offset(front, 1, dt.value)
if back is None:
return front
primary = self._active_contract(oc, front, back, session)
return oc.contract_at_offset(primary, offset, session.value)
def get_rolls(self, root_symbol, start, end, offset):
"""
Get the rolls, i.e. the session at which to hop from contract to
contract in the chain.
Parameters
----------
root_symbol : str
The root symbol for which to calculate rolls.
start : Timestamp
Start of the date range.
end : Timestamp
End of the date range.
offset : int
Offset from the primary.
Returns
-------
rolls - list[tuple(sid, roll_date)]
A list of rolls, where first value is the first active `sid`,
and the `roll_date` on which to hop to the next contract.
The last pair in the chain has a value of `None` since the roll
is after the range.
"""
oc = self.asset_finder.get_ordered_contracts(root_symbol)
front = self.get_contract_center(root_symbol, end, 0)
back = oc.contract_at_offset(front, 1, end.value)
if back is not None:
end_session = self.trading_calendar.minute_to_session_label(end)
first = self._active_contract(oc, front, back, end_session)
else:
first = front
first_contract = oc.sid_to_contract[first]
rolls = [((first_contract >> offset).contract.sid, None)]
tc = self.trading_calendar
sessions = tc.sessions_in_range(tc.minute_to_session_label(start),
tc.minute_to_session_label(end))
freq = sessions.freq
if first == front:
curr = first_contract << 1
else:
curr = first_contract << 2
session = sessions[-1]
while session > start and curr is not None:
front = curr.contract.sid
back = rolls[0][0]
prev_c = curr.prev
while session > start:
prev = session - freq
if prev_c is not None:
if prev < prev_c.contract.auto_close_date:
break
if back != self._active_contract(oc, front, back, prev):
# TODO: Instead of listing each contract with its roll date
# as tuples, create a series which maps every day to the
# active contract on that day.
rolls.insert(0, ((curr >> offset).contract.sid, session))
break
session = prev
curr = curr.prev
if curr is not None:
session = curr.contract.auto_close_date
return rolls
class CalendarRollFinder(RollFinder):
"""
The CalendarRollFinder calculates contract rolls based purely on the
contract's auto close date.
"""
def __init__(self, trading_calendar, asset_finder):
self.trading_calendar = trading_calendar
self.asset_finder = asset_finder
def _active_contract(self, oc, front, back, dt):
contract = oc.sid_to_contract[front].contract
auto_close_date = contract.auto_close_date
auto_closed = dt >= auto_close_date
return back if auto_closed else front
class VolumeRollFinder(RollFinder):
"""
The CalendarRollFinder calculates contract rolls based on when
volume activity transfers from one contract to another.
"""
GRACE_DAYS = 7
THRESHOLD = 0.10
def __init__(self, trading_calendar, asset_finder, session_reader):
self.trading_calendar = trading_calendar
self.asset_finder = asset_finder
self.session_reader = session_reader
def _active_contract(self, oc, front, back, dt):
"""
Return the active contract based on the previous trading day's volume.
In the rare case that a double volume switch occurs we treat the first
switch as the roll. Take the following case for example:
| +++++ _____
| + __ / <--- 'G'
| ++/++\++++/++
| _/ \__/ +
| / +
| ____/ + <--- 'F'
|_________|__|___|________
a b c <--- Switches
We should treat 'a' as the roll date rather than 'c' because from the
perspective of 'a', if a switch happens and we are pretty close to the
auto-close date, we would probably assume it is time to roll. This
means that for every date after 'a', `data.current(cf, 'contract')`
should return the 'G' contract.
"""
tc = self.trading_calendar
trading_day = tc.day
prev = dt - trading_day
get_value = self.session_reader.get_value
front_vol = get_value(front, prev, 'volume')
back_vol = get_value(back, prev, 'volume')
front_contract = oc.sid_to_contract[front].contract
if dt >= front_contract.auto_close_date or back_vol > front_vol:
return back
gap_start = \
front_contract.auto_close_date - (trading_day * self.GRACE_DAYS)
gap_end = prev - trading_day
if dt < gap_start:
return front
# If we are within `self.GRACE_DAYS` of the front contract's auto close
# date, and a volume flip happened during that period, return the back
# contract as the active one.
sessions = tc.sessions_in_range(
tc.minute_to_session_label(gap_start),
tc.minute_to_session_label(gap_end),
)
for session in sessions:
front_vol = get_value(front, session, 'volume')
back_vol = get_value(back, session, 'volume')
if back_vol > front_vol:
return back
return front
catalyst/assets/synthetic.py
-263
View File
@@ -1,263 +0,0 @@
from itertools import product
from string import ascii_uppercase
import pandas as pd
from pandas.tseries.offsets import MonthBegin
from six import iteritems
from .futures import CME_CODE_TO_MONTH
def make_rotating_equity_info(num_assets,
first_start,
frequency,
periods_between_starts,
asset_lifetime):
"""
Create a DataFrame representing lifetimes of assets that are constantly
rotating in and out of existence.
Parameters
----------
num_assets : int
How many assets to create.
first_start : pd.Timestamp
The start date for the first asset.
frequency : str or pd.tseries.offsets.Offset (e.g. trading_day)
Frequency used to interpret next two arguments.
periods_between_starts : int
Create a new asset every `frequency` * `periods_between_new`
asset_lifetime : int
Each asset exists for `frequency` * `asset_lifetime` days.
Returns
-------
info : pd.DataFrame
DataFrame representing newly-created assets.
"""
return pd.DataFrame(
{
'symbol': [chr(ord('A') + i) for i in range(num_assets)],
# Start a new asset every `periods_between_starts` days.
'start_date': pd.date_range(
first_start,
freq=(periods_between_starts * frequency),
periods=num_assets,
),
# Each asset lasts for `asset_lifetime` days.
'end_date': pd.date_range(
first_start + (asset_lifetime * frequency),
freq=(periods_between_starts * frequency),
periods=num_assets,
),
'exchange': 'TEST',
'exchange_full': 'TEST FULL',
},
index=range(num_assets),
)
def make_simple_equity_info(sids,
start_date,
end_date,
symbols=None):
"""
Create a DataFrame representing assets that exist for the full duration
between `start_date` and `end_date`.
Parameters
----------
sids : array-like of int
start_date : pd.Timestamp, optional
end_date : pd.Timestamp, optional
symbols : list, optional
Symbols to use for the assets.
If not provided, symbols are generated from the sequence 'A', 'B', ...
Returns
-------
info : pd.DataFrame
DataFrame representing newly-created assets.
"""
num_assets = len(sids)
if symbols is None:
symbols = list(ascii_uppercase[:num_assets])
return pd.DataFrame(
{
'symbol': list(symbols),
'start_date': pd.to_datetime([start_date] * num_assets),
'end_date': pd.to_datetime([end_date] * num_assets),
'exchange': 'TEST',
'exchange_full': 'TEST FULL',
},
index=sids,
columns=(
'start_date',
'end_date',
'symbol',
'exchange',
'exchange_full',
),
)
def make_jagged_equity_info(num_assets,
start_date,
first_end,
frequency,
periods_between_ends,
auto_close_delta):
"""
Create a DataFrame representing assets that all begin at the same start
date, but have cascading end dates.
Parameters
----------
num_assets : int
How many assets to create.
start_date : pd.Timestamp
The start date for all the assets.
first_end : pd.Timestamp
The date at which the first equity will end.
frequency : str or pd.tseries.offsets.Offset (e.g. trading_day)
Frequency used to interpret the next argument.
periods_between_ends : int
Starting after the first end date, end each asset every
`frequency` * `periods_between_ends`.
Returns
-------
info : pd.DataFrame
DataFrame representing newly-created assets.
"""
frame = pd.DataFrame(
{
'symbol': [chr(ord('A') + i) for i in range(num_assets)],
'start_date': start_date,
'end_date': pd.date_range(
first_end,
freq=(periods_between_ends * frequency),
periods=num_assets,
),
'exchange': 'TEST',
'exchange_full': 'TEST FULL',
},
index=range(num_assets),
)
# Explicitly pass None to disable setting the auto_close_date column.
if auto_close_delta is not None:
frame['auto_close_date'] = frame['end_date'] + auto_close_delta
return frame
def make_future_info(first_sid,
root_symbols,
years,
notice_date_func,
expiration_date_func,
start_date_func,
month_codes=None):
"""
Create a DataFrame representing futures for `root_symbols` during `year`.
Generates a contract per triple of (symbol, year, month) supplied to
`root_symbols`, `years`, and `month_codes`.
Parameters
----------
first_sid : int
The first sid to use for assigning sids to the created contracts.
root_symbols : list[str]
A list of root symbols for which to create futures.
years : list[int or str]
Years (e.g. 2014), for which to produce individual contracts.
notice_date_func : (Timestamp) -> Timestamp
Function to generate notice dates from first of the month associated
with asset month code. Return NaT to simulate futures with no notice
date.
expiration_date_func : (Timestamp) -> Timestamp
Function to generate expiration dates from first of the month
associated with asset month code.
start_date_func : (Timestamp) -> Timestamp, optional
Function to generate start dates from first of the month associated
with each asset month code. Defaults to a start_date one year prior
to the month_code date.
month_codes : dict[str -> [1..12]], optional
Dictionary of month codes for which to create contracts. Entries
should be strings mapped to values from 1 (January) to 12 (December).
Default is catalyst.futures.CME_CODE_TO_MONTH
Returns
-------
futures_info : pd.DataFrame
DataFrame of futures data suitable for passing to an AssetDBWriter.
"""
if month_codes is None:
month_codes = CME_CODE_TO_MONTH
year_strs = list(map(str, years))
years = [pd.Timestamp(s, tz='UTC') for s in year_strs]
# Pairs of string/date like ('K06', 2006-05-01)
contract_suffix_to_beginning_of_month = tuple(
(month_code + year_str[-2:], year + MonthBegin(month_num))
for ((year, year_str), (month_code, month_num))
in product(
zip(years, year_strs),
iteritems(month_codes),
)
)
contracts = []
parts = product(root_symbols, contract_suffix_to_beginning_of_month)
for sid, (root_sym, (suffix, month_begin)) in enumerate(parts, first_sid):
contracts.append({
'sid': sid,
'root_symbol': root_sym,
'symbol': root_sym + suffix,
'start_date': start_date_func(month_begin),
'notice_date': notice_date_func(month_begin),
'expiration_date': notice_date_func(month_begin),
'multiplier': 500,
'exchange': "TEST",
'exchange_full': 'TEST FULL',
})
return pd.DataFrame.from_records(contracts, index='sid')
def make_commodity_future_info(first_sid,
root_symbols,
years,
month_codes=None):
"""
Make futures testing data that simulates the notice/expiration date
behavior of physical commodities like oil.
Parameters
----------
first_sid : int
root_symbols : list[str]
years : list[int]
month_codes : dict[str -> int]
Expiration dates are on the 20th of the month prior to the month code.
Notice dates are are on the 20th two months prior to the month code.
Start dates are one year before the contract month.
See Also
--------
make_future_info
"""
nineteen_days = pd.Timedelta(days=19)
one_year = pd.Timedelta(days=365)
return make_future_info(
first_sid=first_sid,
root_symbols=root_symbols,
years=years,
notice_date_func=lambda dt: dt - MonthBegin(2) + nineteen_days,
expiration_date_func=lambda dt: dt - MonthBegin(1) + nineteen_days,
start_date_func=lambda dt: dt - one_year,
month_codes=month_codes,
)
catalyst/catalyst_warnings.py
-18
View File
@@ -1,18 +0,0 @@
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
class ZiplineDeprecationWarning(DeprecationWarning):
pass
catalyst/curate/__init__.py
View File
catalyst/curate/poloniex.py
-294
View File
@@ -1,294 +0,0 @@
import json, time, csv
from datetime import datetime
import pandas as pd
import os, time, shutil, requests, logbook
from catalyst.exchange.exchange_utils import get_exchange_symbols_filename
DT_START = int(time.mktime(datetime(2010, 1, 1, 0, 0).timetuple()))
DT_END = int(time.time())
CSV_OUT_FOLDER = '/var/tmp/catalyst/data/poloniex/'
CSV_OUT_FOLDER = '/Volumes/enigma/data/poloniex/'
CONN_RETRIES = 2
logbook.StderrHandler().push_application()
log = logbook.Logger(__name__)
class PoloniexCurator(object):
'''
OHLCV data feed generator for crypto data. Based on Poloniex market data
'''
_api_path = 'https://poloniex.com/public?'
currency_pairs = []
def __init__(self):
if not os.path.exists(CSV_OUT_FOLDER):
try:
os.makedirs(CSV_OUT_FOLDER)
except Exception as e:
log.error('Failed to create data folder: %s' % CSV_OUT_FOLDER)
log.exception(e)
'''
Retrieves and returns all currency pairs from the exchange
'''
def get_currency_pairs(self):
url = self._api_path + 'command=returnTicker'
try:
response = requests.get(url)
except Exception as e:
log.error('Failed to retrieve list of currency pairs')
log.exception(e)
return None
data = response.json()
self.currency_pairs = []
for ticker in data:
self.currency_pairs.append(ticker)
self.currency_pairs.sort()
log.debug('Currency pairs retrieved successfully: %d' % (len(self.currency_pairs)))
'''
Helper function that reads tradeID and date fields from CSV readline
'''
def _retrieve_tradeID_date(self, row):
tId = int(row.split(',')[0])
d = pd.to_datetime( row.split(',')[1], infer_datetime_format=True).value // 10 ** 9
return tId, d
'''
Retrieves TradeHistory from exchange for a given currencyPair between start and end dates.
If no start date is provided, uses a system-wide one (beginning of time for cryptotrading)
If no end date is provided, 'now' is used
Stores results in CSV file on disk.
This function is called recursively to work around the limitations imposed by the provider API.
'''
def retrieve_trade_history(self, currencyPair, start=DT_START, end=DT_END, temp=None):
csv_fn = CSV_OUT_FOLDER + 'crypto_trades-' + currencyPair + '.csv'
'''
Check what data we already have on disk, reading first and last lines from file.
Data is stored on file from NEWEST to OLDEST.
'''
try:
with open(csv_fn, 'ab+') as f:
f.seek(0, os.SEEK_END)
if(f.tell() > 2): # First check file is not zero size
f.seek(0) # Go to the beginning to read first line
last_tradeID, end_file = self._retrieve_tradeID_date(f.readline())
f.seek(-2, os.SEEK_END) # Jump to the second last byte.
while f.read(1) != b"\n": # Until EOL is found...
f.seek(-2, os.SEEK_CUR) # ...jump back the read byte plus one more.
first_tradeID, start_file = self._retrieve_tradeID_date(f.readline())
if( first_tradeID == 1 and end_file + 3600 > DT_END ):
return
except Exception as e:
log.error('Error opening file: %s' % csv_fn)
log.exception(e)
'''
Poloniex API limits querying TradeHistory to intervals smaller than 1 month,
so we make sure that start date is never more than 1 month apart from end date
'''
if( end - start > 2419200 ): # 60 s/min * 60 min/hr * 24 hr/day * 28 days
newstart = end - 2419200
else:
newstart = start
log.debug(currencyPair+': Retrieving from '+str(newstart)+' to '+str(end) +'\t '
+ time.ctime(newstart) + ' - '+ time.ctime(end))
url = self._api_path + 'command=returnTradeHistory&currencyPair=' + currencyPair + '&start=' + str(newstart) + '&end=' + str(end)
try:
response = requests.get(url)
except Exception as e:
log.error('Failed to retrieve trade history data for %s' % currencyPair)
log.exception(e)
return None
else:
if isinstance(response.json(), dict) and response.json()['error']:
log.error('Failed to to retrieve trade history data for %s: %s' % (currencyPair,response.json()['error']))
exit(1)
'''
If we get to transactionId == 1, and we already have that on disk,
we got to the end of TradeHistory for this coin.
'''
if('first_tradeID' in locals() and response.json()[-1]['tradeID'] == first_tradeID):
return
'''
There are primarily two scenarios:
a) There is newer data available that we need to add at the beginning
of the file. We'll retrieve all what we need until we get to what
we already have, writing it to a temporary file; and we will write
that at the beginning of our existing file.
b) We are going back in time, appending at the end of our existing
TradeHistory until the first transaction for this currencyPair
'''
try:
if( 'end_file' in locals() and end_file + 3600 < end):
if (temp is None):
temp = os.tmpfile()
tempcsv = csv.writer(temp)
for item in response.json():
if( item['tradeID'] <= last_tradeID ):
continue
tempcsv.writerow([
item['tradeID'],
item['date'],
item['type'],
item['rate'],
item['amount'],
item['total'],
item['globalTradeID']
])
if( response.json()[-1]['tradeID'] > last_tradeID ):
end = pd.to_datetime( response.json()[-1]['date'], infer_datetime_format=True).value // 10 ** 9
self.retrieve_trade_history(currencyPair, start, end, temp=temp)
else:
with open(csv_fn,'rb+') as f:
shutil.copyfileobj(f,temp)
f.seek(0)
temp.seek(0)
shutil.copyfileobj(temp,f)
temp.close()
end = start_file
else:
with open(csv_fn, 'ab') as csvfile:
csvwriter = csv.writer(csvfile)
for item in response.json():
if( 'first_tradeID' in locals() and item['tradeID'] >= first_tradeID ):
continue
csvwriter.writerow([
item['tradeID'],
item['date'],
item['type'],
item['rate'],
item['amount'],
item['total'],
item['globalTradeID']
])
end = pd.to_datetime( response.json()[-1]['date'], infer_datetime_format=True).value // 10 ** 9
except Exception as e:
log.error('Error opening %s' % csv_fn)
log.exception(e)
'''
If we got here, we aren't done yet. Call recursively with 'end' times
that go sequentially back in time.
'''
self.retrieve_trade_history(currencyPair, start, end)
'''
Generates OHLCV dataframe from a dataframe containing all TradeHistory
by resampling with 1-minute period
'''
def generate_ohlcv(self, df):
df.set_index('date', inplace=True) # Index by date
vol = df['total'].to_frame('volume') # Will deal with vol separately, as ohlc() messes it up
df.drop('total', axis=1, inplace=True) # Drop volume data from dataframe
ohlc = df.resample('T').ohlc() # Resample OHLC in 1min bins
ohlc.columns = ohlc.columns.map(lambda t: t[1]) # Raname columns by dropping 'rate'
closes = ohlc['close'].fillna(method='pad') # Pad forward missing 'close'
ohlc = ohlc.apply(lambda x: x.fillna(closes)) # Fill N/A with last close
vol = vol.resample('T').sum().fillna(0) # Add volumes by bin
ohlcv = pd.concat([ohlc,vol], axis=1) # Concatenate OHLC + Volume
return ohlcv
'''
Generates OHLCV data file with 1minute bars from TradeHistory on disk
'''
def write_ohlcv_file(self, currencyPair):
csv_trades = CSV_OUT_FOLDER + 'crypto_trades-' + currencyPair + '.csv'
csv_1min = CSV_OUT_FOLDER + 'crypto_1min-' + currencyPair + '.csv'
if( os.path.isfile(csv_1min) ):
log.debug(currencyPair+': 1min data already present. Delete the file if you want to rebuild it.')
else:
df = pd.read_csv(csv_trades, names=['tradeID','date','type','rate','amount','total','globalTradeID'],
dtype = {'tradeID': int, 'date': str, 'type': str, 'rate': float, 'amount': float, 'total': float, 'globalTradeID': int } )
df.drop(['tradeID','type','amount','globalTradeID'], axis=1, inplace=True)
df['date'] = pd.to_datetime(df['date'], infer_datetime_format=True)
ohlcv = self.generate_ohlcv(df)
try:
with open(csv_1min, 'ab') as csvfile:
csvwriter = csv.writer(csvfile)
for item in ohlcv.itertuples():
if item.Index == 0:
continue
csvwriter.writerow([
item.Index.value // 10 ** 9,
item.open,
item.high,
item.low,
item.close,
item.volume,
])
except Exception as e:
log.error('Error opening %s' % csv_fn)
log.exception(e)
log.debug(currencyPair+': Generated 1min OHLCV data.')
'''
Returns a data frame for a given currencyPair from data on disk
'''
def onemin_to_dataframe(self, currencyPair, start, end):
csv_fn = CSV_OUT_FOLDER + 'crypto_1min-' + currencyPair + '.csv'
df = pd.read_csv(csv_fn, names=['date', 'open', 'high', 'low', 'close', 'volume'])
df['date'] = pd.to_datetime(df['date'],unit='s')
df.set_index('date', inplace=True)
return df[start : end]
'''
Generates a symbols.json file with corresponding start_date for each currencyPair
'''
def generate_symbols_json(self, filename=None):
symbol_map = {}
if(filename is None):
filename = get_exchange_symbols_filename('poloniex')
with open(filename, 'w') as symbols:
for currencyPair in self.currency_pairs:
start = None
csv_fn = CSV_OUT_FOLDER + 'crypto_trades-' + currencyPair + '.csv'
with open(csv_fn, 'r') as f:
f.seek(0, os.SEEK_END)
if(f.tell() > 2): # First check file is not zero size
f.seek(-2, os.SEEK_END) # Jump to the second last byte.
while f.read(1) != b"\n": # Until EOL is found...
f.seek(-2, os.SEEK_CUR) # ...jump back the read byte plus one more.
start = pd.to_datetime( f.readline().split(',')[1], infer_datetime_format=True)
if(start is None):
start = time.gmtime()
base, market = currencyPair.lower().split('_')
symbol = '{market}_{base}'.format( market=market, base=base )
symbol_map[currencyPair] = dict(
symbol = symbol,
start_date = start.strftime("%Y-%m-%d")
)
json.dump(symbol_map, symbols, sort_keys=True, indent=2, separators=(',',':'))
if __name__ == '__main__':
pc = PoloniexCurator()
pc.get_currency_pairs()
#pc.generate_symbols_json()
for currencyPair in pc.currency_pairs:
pc.retrieve_trade_history(currencyPair)
pc.write_ohlcv_file(currencyPair)
catalyst/data/__init__.py
-16
View File
@@ -1,16 +0,0 @@
from . import loader
from .loader import (
load_from_yahoo,
load_bars_from_yahoo,
load_prices_from_csv,
load_prices_from_csv_folder,
)
__all__ = [
'load_bars_from_yahoo',
'load_from_yahoo',
'load_prices_from_csv',
'load_prices_from_csv_folder',
'loader',
]
catalyst/data/_adjustments.pyx
-303
View File
@@ -1,303 +0,0 @@
#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from cpython cimport (
PyDict_Contains,
PySet_Add,
)
from numpy import (
int64,
uint32,
zeros,
)
from numpy cimport int64_t, ndarray
from pandas import Timestamp
ctypedef object Timestamp_t
ctypedef object DatetimeIndex_t
ctypedef object Int64Index_t
from catalyst.lib.adjustment import Float64Multiply
from catalyst.assets.asset_writer import (
SQLITE_MAX_VARIABLE_NUMBER as SQLITE_MAX_IN_STATEMENT,
)
from catalyst.utils.pandas_utils import timedelta_to_integral_seconds
_SID_QUERY_TEMPLATE = """
SELECT DISTINCT sid FROM {0}
WHERE effective_date >= ? AND effective_date <= ?
"""
cdef dict SID_QUERIES = {
tablename: _SID_QUERY_TEMPLATE.format(tablename)
for tablename in ('splits', 'dividends', 'mergers')
}
ADJ_QUERY_TEMPLATE = """
SELECT sid, ratio, effective_date
FROM {0}
WHERE sid IN ({1}) AND effective_date >= {2} AND effective_date <= {3}
"""
EPOCH = Timestamp(0, tz='UTC')
cdef set _get_sids_from_table(object db,
str tablename,
int start_date,
int end_date):
"""
Get the unique sids for all adjustments between start_date and end_date
from table `tablename`.
Parameters
----------
db : sqlite3.connection
tablename : str
start_date : int (seconds since epoch)
end_date : int (seconds since epoch)
Returns
-------
sids : set
Set of sets
"""
cdef object cursor = db.execute(
SID_QUERIES[tablename],
(start_date, end_date),
)
cdef set out = set()
cdef tuple result
for result in cursor.fetchall():
PySet_Add(out, result[0])
return out
cdef set _get_split_sids(object db, int start_date, int end_date):
return _get_sids_from_table(db, 'splits', start_date, end_date)
cdef set _get_merger_sids(object db, int start_date, int end_date):
return _get_sids_from_table(db, 'mergers', start_date, end_date)
cdef set _get_dividend_sids(object db, int start_date, int end_date):
return _get_sids_from_table(db, 'dividends', start_date, end_date)
cdef _adjustments(object adjustments_db,
set split_sids,
set merger_sids,
set dividends_sids,
int start_date,
int end_date,
Int64Index_t assets):
c = adjustments_db.cursor()
splits_to_query = [str(a) for a in assets if a in split_sids]
splits_results = []
while splits_to_query:
query_len = min(len(splits_to_query), SQLITE_MAX_IN_STATEMENT)
query_assets = splits_to_query[:query_len]
t= [str(a) for a in query_assets]
statement = ADJ_QUERY_TEMPLATE.format('splits',
",".join(['?' for _ in query_assets]), start_date, end_date)
c.execute(statement, t)
splits_to_query = splits_to_query[query_len:]
splits_results.extend(c.fetchall())
mergers_to_query = [str(a) for a in assets if a in merger_sids]
mergers_results = []
while mergers_to_query:
query_len = min(len(mergers_to_query), SQLITE_MAX_IN_STATEMENT)
query_assets = mergers_to_query[:query_len]
t= [str(a) for a in query_assets]
statement = ADJ_QUERY_TEMPLATE.format('mergers',
",".join(['?' for _ in query_assets]), start_date, end_date)
c.execute(statement, t)
mergers_to_query = mergers_to_query[query_len:]
mergers_results.extend(c.fetchall())
dividends_to_query = [str(a) for a in assets if a in dividends_sids]
dividends_results = []
while dividends_to_query:
query_len = min(len(dividends_to_query), SQLITE_MAX_IN_STATEMENT)
query_assets = dividends_to_query[:query_len]
t= [str(a) for a in query_assets]
statement = ADJ_QUERY_TEMPLATE.format('dividends',
",".join(['?' for _ in query_assets]), start_date, end_date)
c.execute(statement, t)
dividends_to_query = dividends_to_query[query_len:]
dividends_results.extend(c.fetchall())
return splits_results, mergers_results, dividends_results
cpdef load_adjustments_from_sqlite(object adjustments_db, # sqlite3.Connection
list columns,
DatetimeIndex_t dates,
Int64Index_t assets):
"""
Load a dictionary of Adjustment objects from adjustments_db
Parameters
----------
adjustments_db : sqlite3.Connection
Connection to a sqlite3 table in the format written by
SQLiteAdjustmentWriter.
columns : list[str]
List of column names for which adjustments are needed.
dates : pd.DatetimeIndex
Dates for which adjustments are needed
assets : pd.Int64Index
Assets for which adjustments are needed.
Returns
-------
adjustments : list[dict[int -> Adjustment]]
A list of mappings from index to adjustment objects to apply at that
index.
"""
cdef int start_date = timedelta_to_integral_seconds(dates[0] - EPOCH)
cdef int end_date = timedelta_to_integral_seconds(dates[-1] - EPOCH)
cdef set split_sids = _get_split_sids(
adjustments_db,
start_date,
end_date,
)
cdef set merger_sids = _get_merger_sids(
adjustments_db,
start_date,
end_date,
)
cdef set dividend_sids = _get_dividend_sids(
adjustments_db,
start_date,
end_date,
)
cdef:
list splits, mergers, dividends
splits, mergers, dividends = _adjustments(
adjustments_db,
split_sids,
merger_sids,
dividend_sids,
start_date,
end_date,
assets,
)
cdef list results = [{} for column in columns]
cdef dict asset_ixs = {} # Cache sid lookups here.
cdef dict date_ixs = {}
cdef:
int i
int dt
int sid
double ratio
int eff_date
int date_loc
Py_ssize_t asset_ix
dict col_adjustments
cdef ndarray[int64_t, ndim=1] _dates_seconds = \
dates.values.astype('datetime64[s]').view(int64)
# Pre-populate date index cache.
for i, dt in enumerate(_dates_seconds):
date_ixs[dt] = i
# splits affect prices and volumes, volumes is the inverse
for sid, ratio, eff_date in splits:
if eff_date < start_date:
continue
date_loc = _lookup_dt(date_ixs, eff_date, _dates_seconds)
if not PyDict_Contains(asset_ixs, sid):
asset_ixs[sid] = assets.get_loc(sid)
asset_ix = asset_ixs[sid]
price_adj = Float64Multiply(0, date_loc, asset_ix, asset_ix, ratio)
for i, column in enumerate(columns):
col_adjustments = results[i]
if column != 'volume':
try:
col_adjustments[date_loc].append(price_adj)
except KeyError:
col_adjustments[date_loc] = [price_adj]
else:
volume_adj = Float64Multiply(
0, date_loc, asset_ix, asset_ix, 1.0 / ratio
)
try:
col_adjustments[date_loc].append(volume_adj)
except KeyError:
col_adjustments[date_loc] = [volume_adj]
# mergers affect prices only
for sid, ratio, eff_date in mergers:
if eff_date < start_date:
continue
date_loc = _lookup_dt(date_ixs, eff_date, _dates_seconds)
if not PyDict_Contains(asset_ixs, sid):
asset_ixs[sid] = assets.get_loc(sid)
asset_ix = asset_ixs[sid]
adj = Float64Multiply(0, date_loc, asset_ix, asset_ix, ratio)
for i, column in enumerate(columns):
col_adjustments = results[i]
if column != 'volume':
try:
col_adjustments[date_loc].append(adj)
except KeyError:
col_adjustments[date_loc] = [adj]
# dividends affect prices only
for sid, ratio, eff_date in dividends:
if eff_date < start_date:
continue
date_loc = _lookup_dt(date_ixs, eff_date, _dates_seconds)
if not PyDict_Contains(asset_ixs, sid):
asset_ixs[sid] = assets.get_loc(sid)
asset_ix = asset_ixs[sid]
adj = Float64Multiply(0, date_loc, asset_ix, asset_ix, ratio)
for i, column in enumerate(columns):
col_adjustments = results[i]
if column != 'volume':
try:
col_adjustments[date_loc].append(adj)
except KeyError:
col_adjustments[date_loc] = [adj]
return results
cdef _lookup_dt(dict dt_cache,
int dt,
ndarray[int64_t, ndim=1] fallback):
if not PyDict_Contains(dt_cache, dt):
dt_cache[dt] = fallback.searchsorted(dt, side='right')
return dt_cache[dt]
catalyst/data/_equities.pyx
-227
View File
@@ -1,227 +0,0 @@
#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import bcolz
cimport cython
from cpython cimport bool
from numpy import (
array,
float64,
intp,
uint32,
uint64,
zeros,
)
from numpy cimport (
float64_t,
intp_t,
ndarray,
uint32_t,
uint64_t,
uint8_t,
)
from numpy.math cimport NAN
ctypedef object carray_t
ctypedef object ctable_t
ctypedef object Timestamp_t
ctypedef object DatetimeIndex_t
ctypedef object Int64Index_t
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _compute_row_slices(dict asset_starts_absolute,
dict asset_ends_absolute,
dict asset_starts_calendar,
intp_t query_start,
intp_t query_end,
Int64Index_t requested_assets):
"""
Core indexing functionality for loading raw data from bcolz.
Parameters
----------
asset_starts_absolute : dict
Dictionary containing the index of the first row of each asset in the
bcolz file from which we will query.
asset_ends_absolute : dict
Dictionary containing the index of the last row of each asset in the
bcolz file from which we will query.
asset_starts_calendar : dict
Dictionary containing the index of in our calendar corresponding to the
start date of each asset
query_start : intp
query_end : intp
Start and end indices in our calendar of the dates for which we're
querying.
requested_assets : pandas.Int64Index
The assets for which we want to load data.
For each asset in requested assets, computes three values:
1.) The index in the raw bcolz data of first row to load.
2.) The index in the raw bcolz data of the last row to load.
3.) The index in the dates of our query corresponding to the first row for
each asset. This is non-zero iff the asset's lifetime begins partway
through the requested query dates.
Returns
-------
first_rows, last_rows, offsets : 3-tuple of ndarrays
"""
cdef:
intp_t nassets = len(requested_assets)
# For each sid, we need to compute the following:
ndarray[dtype=intp_t, ndim=1] first_row_a = zeros(nassets, dtype=intp)
ndarray[dtype=intp_t, ndim=1] last_row_a = zeros(nassets, dtype=intp)
ndarray[dtype=intp_t, ndim=1] offset_a = zeros(nassets, dtype=intp)
# Loop variables.
intp_t i
intp_t asset
intp_t asset_start_data
intp_t asset_end_data
intp_t asset_start_calendar
intp_t asset_end_calendar
for i, asset in enumerate(requested_assets):
asset_start_data = asset_starts_absolute[asset]
asset_end_data = asset_ends_absolute[asset]
asset_start_calendar = asset_starts_calendar[asset]
asset_end_calendar = (
asset_start_calendar + (asset_end_data - asset_start_data)
)
# If the asset started during the query, then start with the asset's
# first row.
# Otherwise start with the asset's first row + the number of rows
# before the query on which the asset existed.
first_row_a[i] = (
asset_start_data + max(0, (query_start - asset_start_calendar))
)
# If the asset ended during the query, the end with the asset's last
# row.
# Otherwise, end with the asset's last row minus the number of rows
# after the query for which the asset
last_row_a[i] = (
asset_end_data - max(0, asset_end_calendar - query_end)
)
# If the asset existed on or before the query, no offset.
# Otherwise, offset by the number of rows in the query in which the
# asset did not yet exist.
offset_a[i] = max(0, asset_start_calendar - query_start)
return first_row_a, last_row_a, offset_a
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _read_bcolz_data(ctable_t table,
tuple shape,
list columns,
intp_t[:] first_rows,
intp_t[:] last_rows,
intp_t[:] offsets,
bool read_all):
"""
Load raw bcolz data for the given columns and indices.
Parameters
----------
table : bcolz.ctable
The table from which to read.
shape : tuple (length 2)
The shape of the expected output arrays.
columns : list[str]
List of column names to read.
first_rows : ndarray[intp]
last_rows : ndarray[intp]
offsets : ndarray[intp
Arrays in the format returned by _compute_row_slices.
read_all : bool
Whether to read_all sid data at once, or to read a silce from the
carray for each sid.
Returns
-------
results : list of ndarray
A 2D array of shape `shape` for each column in `columns`.
"""
cdef:
int nassets
str column_name
carray_t carray
ndarray[dtype=uint64_t, ndim=1] raw_data
ndarray[dtype=uint64_t, ndim=2] outbuf
ndarray[dtype=uint8_t, ndim=2, cast=True] where_nan
ndarray[dtype=float64_t, ndim=2] outbuf_as_float
intp_t asset
intp_t out_idx
intp_t raw_idx
intp_t first_row
intp_t last_row
intp_t offset
list results = []
ndays = shape[0]
nassets = shape[1]
if not nassets== len(first_rows) == len(last_rows) == len(offsets):
raise ValueError("Incompatible index arrays.")
for column_name in columns:
outbuf = zeros(shape=shape, dtype=uint64)
if read_all:
raw_data = table[column_name][:]
for asset in range(nassets):
first_row = first_rows[asset]
last_row = last_rows[asset]
offset = offsets[asset]
if first_row <= last_row:
outbuf[offset:offset + (last_row + 1 - first_row), asset] =\
raw_data[first_row:last_row + 1]
else:
continue
else:
carray = table[column_name]
for asset in range(nassets):
first_row = first_rows[asset]
last_row = last_rows[asset]
offset = offsets[asset]
out_start = offset
out_end = (last_row - first_row) + offset + 1
if first_row <= last_row:
outbuf[offset:offset + (last_row + 1 - first_row), asset] =\
carray[first_row:last_row + 1]
else:
continue
if column_name in ['open', 'high', 'low', 'close']:
where_nan = (outbuf == 0)
outbuf_as_float = outbuf.astype(float64) * .000000001
outbuf_as_float[where_nan] = NAN
results.append(outbuf_as_float)
elif column_name in ['volume']:
results.append(outbuf.astype(float64) * .000000001)
else:
results.append(outbuf)
return results
catalyst/data/_minute_bar_internal.pyx
-160
View File
@@ -1,160 +0,0 @@
from numpy cimport ndarray, long_t
from numpy import searchsorted
from cpython cimport bool
cimport cython
cdef inline int int_min(int a, int b): return a if a <= b else b
@cython.cdivision(True)
def minute_value(ndarray[long_t, ndim=1] market_opens,
Py_ssize_t pos,
short minutes_per_day):
"""
Finds the value of the minute represented by `pos` in the given array of
market opens.
Parameters
----------
market_opens: numpy array of ints
Market opens, in minute epoch values.
pos: int
The index of the desired minute.
minutes_per_day: int
The number of minutes per day (e.g. 390 for NYSE).
Returns
-------
int: The minute epoch value of the desired minute.
"""
cdef short q, r
q = cython.cdiv(pos, minutes_per_day)
r = cython.cmod(pos, minutes_per_day)
return market_opens[q] + r
def find_position_of_minute(ndarray[long_t, ndim=1] market_opens,
ndarray[long_t, ndim=1] market_closes,
long_t minute_val,
short minutes_per_day,
bool forward_fill):
"""
Finds the position of a given minute in the given array of market opens.
If not a market minute, adjusts to the last market minute.
Parameters
----------
market_opens: numpy array of ints
Market opens, in minute epoch values.
market_closes: numpy array of ints
Market closes, in minute epoch values.
minute_val: int
The desired minute, as a minute epoch.
minutes_per_day: int
The number of minutes per day (e.g. 390 for NYSE).
forward_fill: bool
Whether to use the previous market minute if the given minute does
not fall within an open/close pair.
Returns
-------
int: The position of the given minute in the market opens array.
Raises
------
ValueError
If the given minute is not between a single open/close pair AND
forward_fill is False. For example, if minute_val is 17:00 Eastern
for a given day whose normal hours are 9:30 to 16:00, and we are not
forward filling, ValueError is raised.
"""
cdef Py_ssize_t market_open_loc, market_open, delta
market_open_loc = \
searchsorted(market_opens, minute_val, side='right') - 1
market_open = market_opens[market_open_loc]
market_close = market_closes[market_open_loc]
if not forward_fill and ((minute_val - market_open) >= minutes_per_day):
raise ValueError("Given minute is not between an open and a close")
delta = int_min(minute_val - market_open, market_close - market_open)
return (market_open_loc * minutes_per_day) + delta
def find_last_traded_position_internal(
ndarray[long_t, ndim=1] market_opens,
ndarray[long_t, ndim=1] market_closes,
long_t end_minute,
long_t start_minute,
volumes,
short minutes_per_day):
"""
Finds the position of the last traded minute for the given volumes array.
Parameters
----------
market_opens: numpy array of ints
Market opens, in minute epoch values.
market_closes: numpy array of ints
Market closes, in minute epoch values.
end_minute: int
The minute from which to start looking backwards, as a minute epoch.
start_minute: int
The asset's start date, as a minute epoch. Acts as the bottom limit of
how far we can look backwards.
volumes: bcolz carray
The volume history for the given asset.
minutes_per_day: int
The number of minutes per day (e.g. 390 for NYSE).
Returns
-------
int: The position of the last traded minute, starting from `minute_val`
"""
cdef Py_ssize_t minute_pos, current_minute, q
minute_pos = int_min(
find_position_of_minute(market_opens, market_closes, end_minute,
minutes_per_day, True),
len(volumes) - 1
)
while minute_pos >= 0:
current_minute = minute_value(
market_opens, minute_pos, minutes_per_day
)
q = cython.cdiv(minute_pos, minutes_per_day)
if current_minute > market_closes[q]:
minute_pos = find_position_of_minute(market_opens,
market_closes,
market_closes[q],
minutes_per_day,
False)
continue
if current_minute < start_minute:
return -1
if volumes[minute_pos] != 0:
return minute_pos
minute_pos -= 1
# we've gone to the beginning of this asset's range, and still haven't
# found a trade event
return -1
catalyst/data/_resample.pyx
-116
View File
@@ -1,116 +0,0 @@
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from cython cimport boundscheck, wraparound
from numpy import finfo, float64, nan, isnan
from numpy cimport intp_t, float64_t, uint32_t
@boundscheck(False)
@wraparound(False)
cpdef void _minute_to_session_open(intp_t[:] close_locs,
float64_t[:] data,
float64_t[:] out):
cdef intp_t i, close_loc, loc = 0
cdef float64_t val
for i, close_loc in enumerate(close_locs):
val = nan
# Start by getting the price value at the opening minute of each day.
# If the value is NaN, continue looking forward until we either find a
# valid value or reach the closing minute, at which point the value is
# just kept as a NaN. We increment 'loc' after obtaining the value to
# ensure we do not reach an out of bounds index.
while isnan(val) and loc <= close_loc:
val = data[loc]
loc += 1
out[i] = val
loc = close_loc + 1
@boundscheck(False)
@wraparound(False)
cpdef void _minute_to_session_high(intp_t[:] close_locs,
float64_t[:] data,
float64_t[:] out):
cdef intp_t i, close_loc, loc = 0
cdef float64_t val
for i, close_loc in enumerate(close_locs):
val = -1
while loc <= close_loc:
val = max(val, data[loc])
loc += 1
if val == -1:
val = nan
out[i] = val
loc = close_loc + 1
@boundscheck(False)
@wraparound(False)
cpdef void _minute_to_session_low(intp_t[:] close_locs,
float64_t[:] data,
float64_t[:] out):
cdef intp_t i, close_loc, loc = 0
cdef float64_t val
cdef float64_t max_float = finfo(float64).max
for i, close_loc in enumerate(close_locs):
val = max_float
while loc <= close_loc:
val = min(val, data[loc])
loc += 1
if val == max_float:
val = nan
out[i] = val
loc = close_loc + 1
@boundscheck(False)
@wraparound(False)
cpdef void _minute_to_session_close(intp_t[:] close_locs,
float64_t[:] data,
float64_t[:] out):
cdef intp_t i, prev_close_loc, loc = 0
cdef float64_t val
num_out = len(out)
for i in range(num_out - 1, -1, -1):
if i > 0:
prev_close_loc = close_locs[i - 1]
else:
prev_close_loc = -1
loc = close_locs[i]
val = nan
# Start by getting the price value at the closing minute of each day.
# If the value is NaN, continue looking back until we either find a
# valid value or reach the closing minute of the previous day, at which
# point the value is just kept as a NaN. We decrement 'loc' after
# obtaining the value to ensure we do not reach a negative index.
while isnan(val) and loc > prev_close_loc:
val = data[loc]
loc -= 1
out[i] = val
@boundscheck(False)
@wraparound(False)
cpdef void _minute_to_session_volume(intp_t[:] close_locs,
uint32_t[:] data,
uint32_t[:] out):
cdef intp_t i, close_loc, loc = 0
cdef uint32_t val
loc = 0
for i, close_loc in enumerate(close_locs):
val = 0
while loc <= close_loc:
val += data[loc]
loc += 1
out[i] = val
loc = close_loc + 1
catalyst/data/bar_reader.py
-138
View File
@@ -1,138 +0,0 @@
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import ABCMeta, abstractmethod, abstractproperty
from six import with_metaclass
class NoDataOnDate(Exception):
"""
Raised when a spot price cannot be found for the sid and date.
"""
pass
class NoDataBeforeDate(NoDataOnDate):
pass
class NoDataAfterDate(NoDataOnDate):
pass
class BarReader(with_metaclass(ABCMeta, object)):
@abstractproperty
def data_frequency(self):
pass
@abstractmethod
def load_raw_arrays(self, columns, start_date, end_date, assets):
"""
Parameters
----------
fields : list of str
'open', 'high', 'low', 'close', or 'volume'
start_dt: Timestamp
Beginning of the window range.
end_dt: Timestamp
End of the window range.
sids : list of int
The asset identifiers in the window.
Returns
-------
list of np.ndarray
A list with an entry per field of ndarrays with shape
(minutes in range, sids) with a dtype of float64, containing the
values for the respective field over start and end dt range.
"""
pass
@abstractproperty
def last_available_dt(self):
"""
Returns
-------
dt : pd.Timestamp
The last session for which the reader can provide data.
"""
pass
@abstractproperty
def trading_calendar(self):
"""
Returns the catalyst.utils.calendar.trading_calendar used to read
the data. Can be None (if the writer didn't specify it).
"""
pass
@abstractproperty
def first_trading_day(self):
"""
Returns
-------
dt : pd.Timestamp
The first trading day (session) for which the reader can provide
data.
"""
pass
@abstractmethod
def get_value(self, sid, dt, field):
"""
Retrieve the value at the given coordinates.
Parameters
----------
sid : int
The asset identifier.
dt : pd.Timestamp
The timestamp for the desired data point.
field : string
The OHLVC name for the desired data point.
Returns
-------
value : float|int
The value at the given coordinates, ``float`` for OHLC, ``int``
for 'volume'.
Raises
------
NoDataOnDate
If the given dt is not a valid market minute (in minute mode) or
session (in daily mode) according to this reader's tradingcalendar.
"""
pass
@abstractmethod
def get_last_traded_dt(self, asset, dt):
"""
Get the latest minute on or before ``dt`` in which ``asset`` traded.
If there are no trades on or before ``dt``, returns ``pd.NaT``.
Parameters
----------
asset : catalyst.asset.Asset
The asset for which to get the last traded minute.
dt : pd.Timestamp
The minute at which to start searching for the last traded minute.
Returns
-------
last_traded : pd.Timestamp
The dt of the last trade for the given asset, using the input
dt as a vantage point.
"""
pass
catalyst/data/benchmarks.py
-64
View File
@@ -1,64 +0,0 @@
#
# Copyright 2013 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
import pandas as pd
import pandas_datareader.data as pd_reader
def get_benchmark_returns(symbol, first_date, last_date):
"""
Get a Series of benchmark returns from Google associated with `symbol`.
Default is `SPY`.
Parameters
----------
symbol : str
Benchmark symbol for which we're getting the returns.
first_date : pd.Timestamp
First date for which we want to get data.
last_date : pd.Timestamp
Last date for which we want to get data.
The furthest date that Google goes back to is 1993-02-01. It has missing
data for 2008-12-15, 2009-08-11, and 2012-02-02, so we add data for the
dates for which Google is missing data.
We're also limited to 4000 days worth of data per request. If we make a
request for data that extends past 4000 trading days, we'll still only
receive 4000 days of data.
first_date is **not** included because we need the close from day N - 1 to
compute the returns for day N.
"""
if symbol == '^GSPC':
symbol = 'spy'
data = pd_reader.DataReader(
symbol,
'google',
first_date,
last_date
)
data = data['Close']
data[pd.Timestamp('2008-12-15')] = np.nan
data[pd.Timestamp('2009-08-11')] = np.nan
data[pd.Timestamp('2012-02-02')] = np.nan
data = data.fillna(method='ffill')
return data.sort_index().tz_localize('UTC').pct_change(1).iloc[1:]
catalyst/data/bundles/__init__.py
-31
View File
@@ -1,31 +0,0 @@
# These imports are necessary to force module-scope register calls to happen.
from . import quandl # noqa
from . import poloniex
from .core import (
UnknownBundle,
bundles,
clean,
from_bundle_ingest_dirname,
ingest,
ingestions_for_bundle,
load,
register,
to_bundle_ingest_dirname,
unregister,
)
from .yahoo import yahoo_equities
__all__ = [
'UnknownBundle',
'bundles',
'clean',
'from_bundle_ingest_dirname',
'ingest',
'ingestions_for_bundle',
'load',
'register',
'to_bundle_ingest_dirname',
'unregister',
'yahoo_equities',
'poloniex_cryptoassets',
]
catalyst/data/bundles/base.py
-499
View File
@@ -1,499 +0,0 @@
#
# Copyright 2017 Enigma MPC, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from itertools import count
import tarfile
from time import time, sleep
from abc import abstractmethod, abstractproperty
import logbook
import pandas as pd
from . import core as bundles
from catalyst.utils.cli import (
item_show_count,
maybe_show_progress
)
from catalyst.utils.memoize import lazyval
logbook.StderrHandler().push_application()
log = logbook.Logger(__name__)
DEFAULT_RETRIES = 5
class BaseBundle(object):
def __init__(self, asset_filter=[]):
self._asset_filter = asset_filter
self._reset()
def _reset(self):
self._splits = []
self._dividends = []
@lazyval
def name(self):
raise NotImplementedError()
@lazyval
def exchange(self):
raise NotImplementedError()
@lazyval
def calendar_name(self):
raise NotImplementedError()
@lazyval
def minutes_per_day(self):
raise NotImplementedError()
@lazyval
def frequencies(self):
raise NotImplementedError()
@lazyval
def md_column_names(self):
return _dtypes_to_cols(self.md_dtypes)
@lazyval
def md_dtypes(self):
raise NotImplementedError()
@lazyval
def column_names(self):
return _dtypes_to_cols(self.dtypes)
@lazyval
def dtypes(self):
raise NotImplementedError()
@lazyval
def tar_url(self):
raise NotImplementedError()
@lazyval
def wait_time(self):
raise NotImplementedError()
@abstractproperty
def splits(self):
raise NotImplementedError()
@abstractproperty
def dividends(self):
raise NotImplementedError()
@abstractmethod
def fetch_raw_metadata_frame(self, api_key, page_number):
raise NotImplementedError()
def post_process_symbol_metadata(self, metadata, data):
return metadata
@abstractmethod
def fetch_raw_symbol_frame(self, api_key, symbol, start_date, end_date):
raise NotImplementedError()
def ingest(self,
environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
adjustment_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
is_compile,
output_dir):
try:
api_key = environ.get('CATALYST_API_KEY')
retries = environ.get('CATALYST_DOWNLOAD_ATTEMPTS', 5)
if is_compile:
# User has instructed local compilation and ingestion of bundle.
# Fetch raw metadata for all symbols.
raw_metadata = self._fetch_metadata_frame(
api_key,
cache=cache,
retries=retries,
environ=environ,
show_progress=show_progress,
)
# Compile daily symbol data if bundle supports daily mode and
# persist the dataset to disk.
symbol_map = raw_metadata.symbol
if 'daily' in self.frequencies:
daily_bar_writer.write(
self._fetch_symbol_iter(
api_key,
cache,
symbol_map,
calendar,
start_session,
end_session,
'daily',
retries,
),
assets=raw_metadata.index,
show_progress=show_progress,
)
# Post-process metadata using cached symbol frames, and write to
# disk. This metadata must be written before any attempt to write
# minute data.
metadata = self._post_process_metadata(
raw_metadata,
cache,
show_progress=show_progress,
)
asset_db_writer.write(metadata)
# Compile minute symbol data if bundle supports minute mode and
# persist the dataset to disk.
if 'minute' in self.frequencies:
minute_bar_writer.write(
self._fetch_symbol_iter(
api_key,
cache,
symbol_map,
calendar,
start_session,
end_session,
'minute',
retries,
),
show_progress=show_progress,
)
# For legacy purposes, this call is required to ensure the database
# contains an appropriately initialized file structure. We don't
# forsee a usecase for adjustments at this time, but may later
# choose to expose this functionality in the future.
adjustment_writer.write(
splits=(
pd.concat(self.splits, ignore_index=True)
if len(self.splits) > 0 else
None
),
dividends=(
pd.concat(self.dividends, ignore_index=True)
if len(self.dividends) > 0 else
None
),
)
else:
# Otherwise, user has instructed to download and untar bundle
# directly from the bundles `tar_url`.
self._download_and_untar(show_progress, output_dir)
except Exception as e:
log.exception(
' Failed to ingest {name}:\n{msg}'.format(
name=self.name,
msg=str(e),
)
)
else:
self._reset()
def _download_and_untar(self, show_progress, output_dir):
# Download bundle conditioned on whether the user would like progress
# information to be displayed in the CLI.
if show_progress:
data = bundles.download_with_progress(
self.tar_url,
chunk_size=bundles.ONE_MEGABYTE,
label='Downloading {name} bundle'.format(name=self.name),
)
else:
data = bundles.download_without_progress(self.tar_url)
# File transfer has completed, untar the bundle to the appropriate
# data directory.
with tarfile.open('r', fileobj=data) as tar:
tar.extractall(output_dir)
def _fetch_metadata_frame(self,
api_key,
cache,
retries=DEFAULT_RETRIES,
environ=None,
show_progress=False):
# Setup raw metadata iterator to fetch pages if necessary.
raw_iter = self._fetch_metadata_iter(api_key, cache, retries, environ)
# Concatenate all frame in iterator to compute a single metadata frame.
with maybe_show_progress(
raw_iter,
show_progress,
label='Fetching symbol metadata',
item_show_func=item_show_count(),
length=3,
show_percent=False,
) as blocks:
metadata = pd.concat(blocks, ignore_index=True)
return metadata
def _fetch_metadata_iter(self, api_key, cache, retries, environ):
for page_number in count(1):
# Attempt to load metadata page from cache. If it does not exist,
# poll the API upto `retries` times in order to get raw DataFrame.
key = 'metadata-page-{pn}.frame'.format(pn=page_number)
try:
raw = cache[key]
except KeyError:
for _ in range(retries):
try:
raw = self.fetch_raw_metadata_frame(
api_key,
page_number,
)
break
except ValueError as e:
raw = pd.DataFrame([])
break
except Exception as e:
log.exception(
'Failed to load metadata from {}. '
'Retrying.'.format(self.name)
)
else:
raise ValueError(
'Failed to download metadata page {} after {} '
'attempts.'.format(page_number, retries)
)
if raw.empty:
# Empty DataFrame signals completion.
break
# Apply selective asset filtering, useful for benchmark
# ingestion.
if self._asset_filter:
raw = raw[raw.symbol.isin(self._asset_filter)]
# Update cached value for key.
cache[key] = raw
# Return metadata frame to application.
yield raw
def _post_process_metadata(self, metadata, cache, show_progress=False):
# Create empty data frame using target metadata column names and dtypes
final_metadata = pd.DataFrame(
columns=self.md_column_names,
index=metadata.index,
)
# Iterate over the available symbols, loading the asset's raw symbol
# data from the cache. The final metadata is computed and recorded in
# the appropriate row depending on the asset's id.
with maybe_show_progress(
metadata.symbol.iteritems(),
show_progress,
label='Post-processing symbol metadata',
item_show_func=item_show_count(len(metadata)),
length=len(metadata),
show_percent=False,
) as symbols_map:
for asset_id, symbol in symbols_map:
# Attempt to load data from disk, the cache should have an entry
# for each symbol at this point of the execution. If one does
# not exist, we should fail.
key = '{sym}.daily.frame'.format(sym=symbol)
try:
raw_data = cache[key]
except KeyError:
raise ValueError(
'Unable to find cached data for symbol: {0}'.format(symbol)
)
# Perform and require post-processing of metadata.
final_symbol_metadata = self.post_process_symbol_metadata(
asset_id,
metadata.iloc[asset_id],
raw_data,
)
# Record symbol's final metadata.
final_metadata.iloc[asset_id] = final_symbol_metadata
# Register all assets with the bundle's default exchange.
final_metadata['exchange'] = self.exchange
return final_metadata
def _fetch_symbol_iter(self,
api_key,
cache,
symbol_map,
calendar,
start_session,
end_session,
data_frequency,
retries):
for asset_id, symbol in symbol_map.iteritems():
# Record start time of iteration, compare at end of iteration to
# adhere to the datas source's rate limit policy.
start_time = pd.Timestamp.utcnow()
# Fetch new data if cached data is absent or stale, otherwise
# returns the cached data unaltered. The `should_sleep` flag
# indicates that an API call was attempted, and that we should be
# ensure aren't exceeding our rate limit before proceeding to the
# next symbol. If the raw_data is updated, it is cached before being
# returned.
raw_data, should_sleep = self._maybe_update_symbol_frame(
start_time,
api_key,
cache,
symbol,
calendar,
start_session,
end_session,
data_frequency,
retries,
)
# TODO(cfromknecht) further data validation?
# Pass asset_id and symbol data to writer.
yield asset_id, raw_data
# If an API call was made during this iteration and the time to
# reach this point was less than the inter-request `wait_time`,
# sleep until after enough time has elapsed to prevent getting rate
# limited.
if should_sleep:
remaining = pd.Timestamp.utcnow() - start_time + self.wait_time
if remaining.value > 0:
sleep(remaining.value / 10**9)
def _maybe_update_symbol_frame(self,
start_time,
api_key,
cache,
symbol,
calendar,
start_session,
end_session,
data_frequency,
retries):
# Attempt to load pre-existing symbol data from cache.
key = '{sym}.{freq}.frame'.format(sym=symbol, freq=data_frequency)
try:
raw_data = cache[key]
except KeyError:
raw_data = None
# Select the most recent date in cached dataset if it exists,
# otherwise use the provided `start_session`.
last = start_session
if raw_data is not None and len(raw_data) > 0:
last = raw_data.index[-1].tz_localize('UTC')
should_sleep = False
# Determine time at which cached data will be considered stale.
cache_expiration = last + pd.Timedelta(days=2)
if start_time <= cache_expiration and raw_data is not None:
# Data is fresh enough to reuse, no need to update. Iterator can
# proceed to next symbol directly since no API call was required.
return raw_data, should_sleep
# If we arrive here, we must have attempted an API call.
# Setting this flag tells the iterator to pause before starting
# the next asset, that we don't exceed the data source's rate
# limit.
should_sleep = True
raw_data = self._fetch_symbol_frame(
api_key,
symbol,
calendar,
start_session,
end_session,
data_frequency,
retries=retries,
)
# Cache latest symbol data.
cache[key] = raw_data
return raw_data, should_sleep
def _fetch_symbol_frame(self,
api_key,
symbol,
calendar,
start_session,
end_session,
data_frequency,
retries=DEFAULT_RETRIES):
# Data for symbol is old enough to attempt an update or is not
# present in the cache. Fetch raw data for a single symbol
# with requested intervals and frequency. Retry as necessary.
for _ in range(retries):
try:
raw_data = self.fetch_raw_symbol_frame(
api_key,
symbol,
calendar,
start_session,
end_session,
data_frequency,
)
raw_data.index = pd.to_datetime(raw_data.index, utc=True)
#raw_data.index = raw_data.index.tz_localize('UTC')
# Filter incoming data to fit start and end sessions.
raw_data = raw_data[
(raw_data.index >= start_session) &
(raw_data.index <= end_session)
]
# Filter out any duplicates entries, keep last one, since
# previous frame is probably an incomplete.
raw_data = raw_data[~raw_data.index.duplicated(keep='last')]
return raw_data
except Exception as e:
log.exception(
'Exception raised fetching {name} data. Retrying.'
.format(name=self.name)
)
else:
raise ValueError(
'Failed to download data for symbol {sym} '
'after {n} attempts.'.format(
sym=symbol,
n=retries,
)
)
def _dtypes_to_cols(dtypes):
return [name for name, _ in dtypes]
catalyst/data/bundles/base_pricing.py
-73
View File
@@ -1,73 +0,0 @@
#
# Copyright 2017 Enigma MPC, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from catalyst.data.bundles.base import BaseBundle
from catalyst.utils.memoize import lazyval
class BasePricingBundle(BaseBundle):
@lazyval
def md_dtypes(self):
return [
('symbol', 'object'),
('start_date', 'datetime64[ns]'),
('end_date', 'datetime64[ns]'),
('ac_date', 'datetime64[ns]'),
('min_trade_size', 'float'),
]
@lazyval
def dtypes(self):
return [
('date', 'datetime64[ns]'),
('open', 'float64'),
('high', 'float64'),
('low', 'float64'),
('close', 'float64'),
('volume', 'float64'),
]
class BaseCryptoPricingBundle(BasePricingBundle):
@lazyval
def calendar_name(self):
return 'OPEN'
@lazyval
def minutes_per_day(self):
return 1440
@property
def splits(self):
return []
@property
def dividends(self):
return []
class BaseEquityPricingBundle(BasePricingBundle):
@lazyval
def calendar_name(self):
return 'NYSE'
@lazyval
def minutes_per_day(self):
return 390
@property
def splits(self):
return self._splits
@property
def dividends(self):
return self._dividends
catalyst/data/bundles/core.py
-708
View File
@@ -1,708 +0,0 @@
from collections import namedtuple
import errno
from io import BytesIO
import os
import requests
import shutil
import warnings
from contextlib2 import ExitStack
import click
import pandas as pd
from toolz import curry, complement, take
from ..us_equity_pricing import (
BcolzDailyBarReader,
BcolzDailyBarWriter,
SQLiteAdjustmentReader,
SQLiteAdjustmentWriter,
)
from ..minute_bars import (
BcolzMinuteBarReader,
BcolzMinuteBarWriter,
)
from catalyst.assets import AssetDBWriter, AssetFinder, ASSET_DB_VERSION
from catalyst.assets.asset_db_migrations import downgrade
from catalyst.utils.cache import (
dataframe_cache,
working_dir,
working_file,
)
from catalyst.utils.compat import mappingproxy
from catalyst.utils.input_validation import ensure_timestamp, optionally
import catalyst.utils.paths as pth
from catalyst.utils.preprocess import preprocess
from catalyst.utils.calendars import get_calendar
from catalyst.utils.cli import maybe_show_progress
ONE_MEGABYTE = 1024 * 1024
def asset_db_path(bundle_name, timestr, environ=None, db_version=None):
return pth.data_path(
asset_db_relative(bundle_name, timestr, environ, db_version),
environ=environ,
)
def minute_path(bundle_name, timestr, environ=None):
return pth.data_path(
minute_relative(bundle_name, timestr, environ),
environ=environ,
)
def daily_path(bundle_name, timestr, environ=None):
return pth.data_path(
daily_relative(bundle_name, timestr, environ),
environ=environ,
)
def adjustment_db_path(bundle_name, timestr, environ=None):
return pth.data_path(
adjustment_db_relative(bundle_name, timestr, environ),
environ=environ,
)
def cache_path(bundle_name, environ=None):
return pth.data_path(
cache_relative(bundle_name, environ),
environ=environ,
)
def adjustment_db_relative(bundle_name, timestr, environ=None):
return bundle_name, timestr, 'adjustments.sqlite'
def cache_relative(bundle_name, timestr, environ=None):
return bundle_name, '.cache'
def daily_relative(bundle_name, timestr, environ=None):
return bundle_name, timestr, 'daily_equities.bcolz'
def minute_relative(bundle_name, timestr, environ=None):
return bundle_name, timestr, 'minute_equities.bcolz'
def asset_db_relative(bundle_name, timestr, environ=None, db_version=None):
db_version = ASSET_DB_VERSION if db_version is None else db_version
return bundle_name, timestr, 'assets-%d.sqlite' % db_version
def to_bundle_ingest_dirname(ts):
"""Convert a pandas Timestamp into the name of the directory for the
ingestion.
Parameters
----------
ts : pandas.Timestamp
The time of the ingestions
Returns
-------
name : str
The name of the directory for this ingestion.
"""
return ts.isoformat().replace(':', ';')
def from_bundle_ingest_dirname(cs):
"""Read a bundle ingestion directory name into a pandas Timestamp.
Parameters
----------
cs : str
The name of the directory.
Returns
-------
ts : pandas.Timestamp
The time when this ingestion happened.
"""
return pd.Timestamp(cs.replace(';', ':'))
def ingestions_for_bundle(bundle, environ=None):
return sorted(
(from_bundle_ingest_dirname(ing)
for ing in os.listdir(pth.data_path([bundle], environ))
if not pth.hidden(ing)),
reverse=True,
)
def download_with_progress(url, chunk_size, **progress_kwargs):
"""
Download streaming data from a URL, printing progress information to the
terminal.
Parameters
----------
url : str
A URL that can be understood by ``requests.get``.
chunk_size : int
Number of bytes to read at a time from requests.
**progress_kwargs
Forwarded to click.progressbar.
Returns
-------
data : BytesIO
A BytesIO containing the downloaded data.
"""
resp = requests.get(url, stream=True)
resp.raise_for_status()
total_size = int(resp.headers['content-length'])
data = BytesIO()
progress_kwargs['length'] = total_size
with maybe_show_progress(None, True, **progress_kwargs) as pbar:
for chunk in resp.iter_content(chunk_size=chunk_size):
data.write(chunk)
pbar.update(len(chunk))
data.seek(0)
return data
def download_without_progress(url):
"""
Download data from a URL, returning a BytesIO containing the loaded data.
Parameters
----------
url : str
A URL that can be understood by ``requests.get``.
Returns
-------
data : BytesIO
A BytesIO containing the downloaded data.
"""
resp = requests.get(url)
resp.raise_for_status()
return BytesIO(resp.content)
RegisteredBundle = namedtuple(
'RegisteredBundle',
['calendar_name',
'start_session',
'end_session',
'minutes_per_day',
'ingest',
'create_writers']
)
BundleData = namedtuple(
'BundleData',
'asset_finder minute_bar_reader daily_bar_reader '
'adjustment_reader',
)
BundleCore = namedtuple(
'BundleCore',
'bundles register_bundle register unregister ingest load clean',
)
class UnknownBundle(click.ClickException, LookupError):
"""Raised if no bundle with the given name was registered.
"""
exit_code = 1
def __init__(self, name):
super(UnknownBundle, self).__init__(
'No bundle registered with the name %r' % name,
)
self.name = name
def __str__(self):
return self.message
class BadClean(click.ClickException, ValueError):
"""Exception indicating that an invalid argument set was passed to
``clean``.
Parameters
----------
before, after, keep_last : any
The bad arguments to ``clean``.
See Also
--------
clean
"""
def __init__(self, before, after, keep_last):
super(BadClean, self).__init__(
'Cannot pass a combination of `before` and `after` with'
'`keep_last`. Got: before=%r, after=%r, keep_n=%r\n' % (
before,
after,
keep_last,
),
)
def __str__(self):
return self.message
def _make_bundle_core():
"""Create a family of data bundle functions that read from the same
bundle mapping.
Returns
-------
bundles : mappingproxy
The mapping of bundles to bundle payloads.
register_bundle : Bundle
A bundle instance to add to the ``bundles`` mapping.
register : callable
The function which registers new bundles in the ``bundles`` mapping.
unregister : callable
The function which deregisters bundles from the ``bundles`` mapping.
ingest : callable
The function which downloads and write data for a given data bundle.
load : callable
The function which loads the ingested bundles back into memory.
clean : callable
The function which cleans up data written with ``ingest``.
"""
_bundles = {} # the registered bundles
# Expose _bundles through a proxy so that users cannot mutate this
# accidentally. Users may go through `register` to update this which will
# warn when trampling another bundle.
bundles = mappingproxy(_bundles)
def register_bundle(bundle_cls,
asset_filter=None,
start_session=None,
end_session=None,
create_writers=True):
bundle = bundle_cls(asset_filter=asset_filter)
return register(
bundle.name,
bundle.ingest,
calendar_name=bundle.calendar_name,
minutes_per_day=bundle.minutes_per_day,
start_session=start_session,
end_session=end_session,
create_writers=create_writers,
)
@curry
def register(name,
f,
calendar_name='OPEN',
start_session=None,
end_session=None,
minutes_per_day=1440,
create_writers=True):
"""Register a data bundle ingest function.
Parameters
----------
name : str
The name of the bundle.
f : callable
The ingest function. This function will be passed:
environ : mapping
The environment this is being run with.
asset_db_writer : AssetDBWriter
The asset db writer to write into.
minute_bar_writer : BcolzMinuteBarWriter
The minute bar writer to write into.
daily_bar_writer : BcolzDailyBarWriter
The daily bar writer to write into.
adjustment_writer : SQLiteAdjustmentWriter
The adjustment db writer to write into.
calendar : catalyst.utils.calendars.TradingCalendar
The trading calendar to ingest for.
start_session : pd.Timestamp
The first session of data to ingest.
end_session : pd.Timestamp
The last session of data to ingest.
cache : DataFrameCache
A mapping object to temporarily store dataframes.
This should be used to cache intermediates in case the load
fails. This will be automatically cleaned up after a
successful load.
show_progress : bool
Show the progress for the current load where possible.
calendar_name : str, optional
The name of a calendar used to align bundle data.
Default is 'NYSE'.
start_session : pd.Timestamp, optional
The first session for which we want data. If not provided,
or if the date lies outside the range supported by the
calendar, the first_session of the calendar is used.
end_session : pd.Timestamp, optional
The last session for which we want data. If not provided,
or if the date lies outside the range supported by the
calendar, the last_session of the calendar is used.
minutes_per_day : int, optional
The number of minutes in each normal trading day.
create_writers : bool, optional
Should the ingest machinery create the writers for the ingest
function. This can be disabled as an optimization for cases where
they are not needed, like the ``quantopian-quandl`` bundle.
Notes
-----
This function my be used as a decorator, for example:
.. code-block:: python
@register('quandl')
def quandl_ingest_function(...):
...
See Also
--------
catalyst.data.bundles.bundles
"""
if name in bundles:
warnings.warn(
'Overwriting bundle with name %r' % name,
stacklevel=3,
)
# NOTE: We don't eagerly compute calendar values here because
# `register` is called at module scope in catalyst, and creating a
# calendar currently takes between 0.5 and 1 seconds, which causes a
# noticeable delay on the catalyst CLI.
_bundles[name] = RegisteredBundle(
calendar_name=calendar_name,
start_session=start_session,
end_session=end_session,
minutes_per_day=minutes_per_day,
ingest=f,
create_writers=create_writers,
)
return f
def unregister(name):
"""Unregister a bundle.
Parameters
----------
name : str
The name of the bundle to unregister.
Raises
------
UnknownBundle
Raised when no bundle has been registered with the given name.
See Also
--------
catalyst.data.bundles.bundles
"""
try:
del _bundles[name]
except KeyError:
raise UnknownBundle(name)
def ingest(name,
environ=os.environ,
timestamp=None,
assets_versions=(),
show_progress=False,
is_compile=False):
"""Ingest data for a given bundle.
Parameters
----------
name : str
The name of the bundle.
environ : mapping, optional
The environment variables. By default this is os.environ.
timestamp : datetime, optional
The timestamp to use for the load.
By default this is the current time.
assets_versions : Iterable[int], optional
Versions of the assets db to which to downgrade.
show_progress : bool, optional
Tell the ingest function to display the progress where possible.
"""
try:
bundle = bundles[name]
except KeyError:
raise UnknownBundle(name)
calendar = get_calendar(bundle.calendar_name)
start_session = bundle.start_session
end_session = bundle.end_session
if start_session is None or start_session < calendar.first_session:
start_session = calendar.first_session
if end_session is None or end_session > calendar.last_session:
end_session = calendar.last_session
if timestamp is None:
timestamp = pd.Timestamp.utcnow()
timestamp = timestamp.tz_convert('utc').tz_localize(None)
timestr = to_bundle_ingest_dirname(timestamp)
cachepath = cache_path(name, environ=environ)
pth.ensure_directory(pth.data_path([name, timestr], environ=environ))
pth.ensure_directory(cachepath)
with dataframe_cache(cachepath, clean_on_failure=False) as cache, \
ExitStack() as stack:
# we use `cleanup_on_failure=False` so that we don't purge the
# cache directory if the load fails in the middle
if bundle.create_writers:
wd = stack.enter_context(working_dir(
pth.data_path([], environ=environ))
)
daily_bars_path = wd.ensure_dir(
*daily_relative(
name, timestr, environ=environ,
)
)
daily_bar_writer = BcolzDailyBarWriter(
daily_bars_path,
calendar,
start_session,
end_session,
)
# Do an empty write to ensure that the daily ctables exist
# when we create the SQLiteAdjustmentWriter below. The
# SQLiteAdjustmentWriter needs to open the daily ctables so
# that it can compute the adjustment ratios for the dividends.
daily_bar_writer.write(())
minute_bar_writer = BcolzMinuteBarWriter(
wd.ensure_dir(*minute_relative(
name, timestr, environ=environ)
),
calendar,
start_session,
end_session,
minutes_per_day=bundle.minutes_per_day,
)
assets_db_path = wd.getpath(*asset_db_relative(
name, timestr, environ=environ,
))
asset_db_writer = AssetDBWriter(assets_db_path)
adjustment_db_writer = stack.enter_context(
SQLiteAdjustmentWriter(
wd.getpath(*adjustment_db_relative(
name, timestr, environ=environ)),
BcolzDailyBarReader(daily_bars_path),
calendar.all_sessions,
overwrite=True,
)
)
else:
daily_bar_writer = None
minute_bar_writer = None
asset_db_writer = None
adjustment_db_writer = None
if assets_versions:
raise ValueError('Need to ingest a bundle that creates '
'writers in order to downgrade the assets'
' db.')
bundle.ingest(
environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
adjustment_db_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
is_compile,
pth.data_path([name, timestr], environ=environ),
)
for version in sorted(set(assets_versions), reverse=True):
version_path = wd.getpath(*asset_db_relative(
name, timestr, environ=environ, db_version=version,
))
with working_file(version_path) as wf:
shutil.copy2(assets_db_path, wf.path)
downgrade(wf.path, version)
def most_recent_data(bundle_name, timestamp, environ=None):
"""Get the path to the most recent data after ``date``for the
given bundle.
Parameters
----------
bundle_name : str
The name of the bundle to lookup.
timestamp : datetime
The timestamp to begin searching on or before.
environ : dict, optional
An environment dict to forward to catalyst_root.
"""
if bundle_name not in bundles:
raise UnknownBundle(bundle_name)
try:
candidates = os.listdir(
pth.data_path([bundle_name], environ=environ),
)
return pth.data_path(
[bundle_name,
max(
filter(complement(pth.hidden), candidates),
key=from_bundle_ingest_dirname,
)],
environ=environ,
)
except (ValueError, OSError) as e:
if getattr(e, 'errno', errno.ENOENT) != errno.ENOENT:
raise
raise ValueError(
'no data for bundle {bundle!r} on or before {timestamp}\n'
'maybe you need to run: $ catalyst ingest -b {bundle}'.format(
bundle=bundle_name,
timestamp=timestamp,
),
)
def load(name, environ=os.environ, timestamp=None):
"""Loads a previously ingested bundle.
Parameters
----------
name : str
The name of the bundle.
environ : mapping, optional
The environment variables. Defaults of os.environ.
timestamp : datetime, optional
The timestamp of the data to lookup.
Defaults to the current time.
Returns
-------
bundle_data : BundleData
The raw data readers for this bundle.
"""
if timestamp is None:
timestamp = pd.Timestamp.utcnow()
timestr = most_recent_data(name, timestamp, environ=environ)
return BundleData(
asset_finder=AssetFinder(
asset_db_path(name, timestr, environ=environ),
),
minute_bar_reader=BcolzMinuteBarReader(
minute_path(name, timestr, environ=environ),
),
daily_bar_reader=BcolzDailyBarReader(
daily_path(name, timestr, environ=environ),
),
adjustment_reader=SQLiteAdjustmentReader(
adjustment_db_path(name, timestr, environ=environ),
),
)
@preprocess(
before=optionally(ensure_timestamp),
after=optionally(ensure_timestamp),
)
def clean(name,
before=None,
after=None,
keep_last=None,
environ=os.environ):
"""Clean up data that was created with ``ingest`` or
``$ python -m catalyst ingest``
Parameters
----------
name : str
The name of the bundle to remove data for.
before : datetime, optional
Remove data ingested before this date.
This argument is mutually exclusive with: keep_last
after : datetime, optional
Remove data ingested after this date.
This argument is mutually exclusive with: keep_last
keep_last : int, optional
Remove all but the last ``keep_last`` ingestions.
This argument is mutually exclusive with:
before
after
environ : mapping, optional
The environment variables. Defaults of os.environ.
Returns
-------
cleaned : set[str]
The names of the runs that were removed.
Raises
------
BadClean
Raised when ``before`` and or ``after`` are passed with
``keep_last``. This is a subclass of ``ValueError``.
"""
try:
all_runs = sorted(
filter(
complement(pth.hidden),
os.listdir(pth.data_path([name], environ=environ)),
),
key=from_bundle_ingest_dirname,
)
except OSError as e:
if e.errno != errno.ENOENT:
raise
raise UnknownBundle(name)
if ((before is not None or after is not None) and
keep_last is not None):
raise BadClean(before, after, keep_last)
if keep_last is None:
def should_clean(name):
dt = from_bundle_ingest_dirname(name)
return (
(before is not None and dt < before) or
(after is not None and dt > after)
)
elif keep_last >= 0:
last_n_dts = set(take(keep_last, reversed(all_runs)))
def should_clean(name):
return name not in last_n_dts
else:
raise BadClean(before, after, keep_last)
cleaned = set()
for run in all_runs:
if should_clean(run):
path = pth.data_path([name, run], environ=environ)
shutil.rmtree(path)
cleaned.add(path)
return cleaned
return BundleCore(
bundles,
register_bundle,
register,
unregister,
ingest,
load,
clean,
)
bundles, register_bundle, register, unregister, ingest, load, clean = _make_bundle_core()
catalyst/data/bundles/poloniex.py
-188
View File
@@ -1,188 +0,0 @@
#
# Copyright 2017 Enigma MPC, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
from datetime import datetime
import pandas as pd
from six.moves.urllib.parse import urlencode
from catalyst.data.bundles.core import register_bundle
from catalyst.data.bundles.base_pricing import BaseCryptoPricingBundle
from catalyst.utils.memoize import lazyval
from catalyst.curate.poloniex import PoloniexCurator
class PoloniexBundle(BaseCryptoPricingBundle):
@lazyval
def name(self):
return 'poloniex'
@lazyval
def exchange(self):
return 'POLO'
@lazyval
def frequencies(self):
return set((
'daily',
'minute',
))
@lazyval
def tar_url(self):
return (
'https://s3.amazonaws.com/enigmaco/catalyst-bundles/poloniex/poloniex-bundle.tar.gz'
)
@lazyval
def wait_time(self):
return pd.Timedelta(milliseconds=170)
def fetch_raw_metadata_frame(self, api_key, page_number):
if page_number > 1:
return pd.DataFrame([])
raw = pd.read_json(
self._format_metadata_url(
api_key,
page_number,
),
orient='index',
)
raw = raw.sort_index().reset_index()
raw.rename(
columns={'index':'symbol'},
inplace=True,
)
raw = raw[raw['isFrozen'] == 0]
return raw
def post_process_symbol_metadata(self, asset_id, sym_md, sym_data):
start_date = sym_data.index[0]
end_date = sym_data.index[-1]
ac_date = end_date + pd.Timedelta(days=1)
min_trade_size = 0.00000001
return (
sym_md.symbol,
start_date,
end_date,
ac_date,
min_trade_size,
)
def fetch_raw_symbol_frame(self,
api_key,
symbol,
calendar,
start_date,
end_date,
frequency):
# TODO: replace this with direct exchange call
# The end date and frequency should be used to calculate the number of bars
if(frequency == 'minute'):
pc = PoloniexCurator()
raw = pc.onemin_to_dataframe(symbol, start_date, end_date)
else:
raw = pd.read_json(
self._format_data_url(
api_key,
symbol,
start_date,
end_date,
frequency,
),
orient='records',
)
raw.set_index('date', inplace=True)
# BcolzDailyBarReader introduces a 1/1000 factor in the way pricing is stored
# on disk, which we compensate here to get the right pricing amounts
# ref: data/us_equity_pricing.py
scale = 1
raw.loc[:, 'open'] /= scale
raw.loc[:, 'high'] /= scale
raw.loc[:, 'low'] /= scale
raw.loc[:, 'close'] /= scale
raw.loc[:, 'volume'] *= scale
return raw
'''
HELPER METHODS
'''
def _format_metadata_url(self, api_key, page_number):
query_params = [
('command', 'returnTicker'),
]
return self._format_polo_query(query_params)
def _format_data_url(self,
api_key,
symbol,
start_date,
end_date,
data_frequency):
period_map = {
'daily': 86400,
}
try:
period = period_map[data_frequency]
except KeyError:
return None
query_params = [
('command', 'returnChartData'),
('currencyPair', symbol),
('start', start_date.value / 10**9),
('end', end_date.value / 10**9),
('period', period),
]
return self._format_polo_query(query_params)
def _format_polo_query(self, query_params):
# TODO: got against the exchange object
return 'https://poloniex.com/public?{query}'.format(
query=urlencode(query_params),
)
'''
As a second parameter, you can pass an array of currency pairs
that will be processed as an asset_filter to only process that
subset of assets in the bundle, such as:
register_bundle(PoloniexBundle, ['USDT_BTC',])
For a production environment make sure to use (to bundle all pairs):
register_bundle(PoloniexBundle)
'''
if 'ingest' in sys.argv and '-c' in sys.argv:
register_bundle(PoloniexBundle)
else:
register_bundle(PoloniexBundle, create_writers=False)
catalyst/data/bundles/quandl.py
-231
View File
@@ -1,231 +0,0 @@
#
# Copyright 2017 Enigma MPC, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from datetime import datetime
import pandas as pd
from six.moves.urllib.parse import urlencode
from catalyst.data.bundles.core import register_bundle
from catalyst.data.bundles.base_pricing import BaseEquityPricingBundle
from catalyst.utils.memoize import lazyval
"""
Module for building a complete daily dataset from Quandl's WIKI dataset.
"""
from itertools import count
import tarfile
from time import time, sleep
from datetime import datetime
from logbook import Logger
import pandas as pd
from six.moves.urllib.parse import urlencode
from catalyst.utils.calendars import register_calendar_alias
from catalyst.utils.cli import maybe_show_progress
from . import core as bundles
log = Logger(__name__)
seconds_per_call = (pd.Timedelta('10 minutes') / 2000).total_seconds()
class QuandlBundle(BaseEquityPricingBundle):
@lazyval
def name(self):
return 'quandl'
@lazyval
def exchange(self):
return 'QUANDL'
@lazyval
def frequencies(self):
return set(('daily',))
@lazyval
def tar_url(self):
return 'https://s3.amazonaws.com/quantopian-public-zipline-data/quandl'
@lazyval
def wait_time(self):
return pd.Timedelta(milliseconds=300)
@lazyval
def _excluded_symbols(self):
"""
Invalid symbols that quandl has had in its metadata:
"""
return frozenset({'TEST123456789'})
def fetch_raw_metadata_frame(self, api_key, page_number):
raw = pd.read_csv(
self._format_metadata_url(api_key, page_number),
date_parser=pd.tseries.tools.to_datetime,
parse_dates=[
'oldest_available_date',
'newest_available_date',
],
dtype={
'dataset_code': 'str',
'name': 'str',
'oldest_available_date': 'str',
'newest_available_date': 'str',
},
usecols=[
'dataset_code',
'name',
'oldest_available_date',
'newest_available_date',
],
).rename(
columns={
'dataset_code': 'symbol',
'name': 'asset_name',
'oldest_available_date': 'start_date',
'newest_available_date': 'end_date',
},
)
raw['start_date'] = raw['start_date'].astype(datetime)
raw['end_date'] = raw['end_date'].astype(datetime)
raw['ac_date'] = raw['end_date'] + pd.Timedelta(days=1)
# Filter out invalid symbols
raw = raw[~raw.symbol.isin(self._excluded_symbols)]
# cut out all the other stuff in the name column
# we need to escape the paren because it is actually splitting on a regex
raw.asset_name = raw.asset_name.str.split(r' \(', 1).str.get(0)
return raw
def fetch_raw_symbol_frame(self,
api_key,
symbol,
calendar,
start_session,
end_session,
data_frequency):
raw_data = pd.read_csv(
self._format_wiki_url(
api_key,
symbol,
start_session,
end_session,
data_frequency,
),
parse_dates=['Date'],
index_col='Date',
usecols=[
'Open',
'High',
'Low',
'Close',
'Volume',
'Date',
'Ex-Dividend',
'Split Ratio',
],
na_values=['NA'],
).rename(columns={
'Open': 'open',
'High': 'high',
'Low': 'low',
'Close': 'close',
'Volume': 'volume',
'Date': 'date',
'Ex-Dividend': 'ex_dividend',
'Split Ratio': 'split_ratio',
})
sessions = calendar.sessions_in_range(start_session, end_session)
return raw_data.reindex(
sessions.tz_localize(None),
copy=False,
).fillna(0.0)
def post_process_symbol_metadata(self, asset_id, sym_md, sym_data):
self._update_splits(asset_id, sym_data)
self._update_dividends(asset_id, sym_data)
return sym_md
def _update_splits(self, asset_id, raw_data):
split_ratios = raw_data.split_ratio
df = pd.DataFrame({'ratio': 1 / split_ratios[split_ratios != 1]})
df.index.name = 'effective_date'
df.reset_index(inplace=True)
df['sid'] = asset_id
self.splits.append(df)
def _update_dividends(self, asset_id, raw_data):
divs = raw_data.ex_dividend
df = pd.DataFrame({'amount': divs[divs != 0]})
df.index.name = 'ex_date'
df.reset_index(inplace=True)
df['sid'] = asset_id
# we do not have this data in the WIKI dataset
df['record_date'] = df['declared_date'] = df['pay_date'] = pd.NaT
self.dividends.append(df)
def _format_metadata_url(self, api_key, page_number):
"""Build the query RL for the quandl WIKI metadata.
"""
query_params = [
('per_page', '100'),
('sort_by', 'id'),
('page', str(page_number)),
('database_code', 'WIKI'),
]
if api_key is not None:
query_params = [('api_key', api_key)] + query_params
return (
'https://www.quandl.com/api/v3/datasets.csv?' + urlencode(query_params)
)
def _format_wiki_url(self,
api_key,
symbol,
start_date,
end_date,
data_frequency):
"""
Build a query URL for a quandl WIKI dataset.
"""
query_params = [
('start_date', start_date.strftime('%Y-%m-%d')),
('end_date', end_date.strftime('%Y-%m-%d')),
('order', 'asc'),
]
if api_key is not None:
query_params = [('api_key', api_key)] + query_params
return (
"https://www.quandl.com/api/v3/datasets/WIKI/"
"{symbol}.csv?{query}".format(
symbol=symbol,
query=urlencode(query_params),
)
)
register_calendar_alias('QUANDL', 'NYSE')
register_bundle(QuandlBundle)
catalyst/data/bundles/yahoo.py
-203
View File
@@ -1,203 +0,0 @@
import os
import numpy as np
import pandas as pd
from pandas_datareader.data import DataReader
import requests
from catalyst.utils.calendars import register_calendar_alias
from catalyst.utils.cli import maybe_show_progress
from .core import register
def _cachpath(symbol, type_):
return '-'.join((symbol.replace(os.path.sep, '_'), type_))
def yahoo_equities(symbols, start=None, end=None):
"""Create a data bundle ingest function from a set of symbols loaded from
yahoo.
Parameters
----------
symbols : iterable[str]
The ticker symbols to load data for.
start : datetime, optional
The start date to query for. By default this pulls the full history
for the calendar.
end : datetime, optional
The end date to query for. By default this pulls the full history
for the calendar.
Returns
-------
ingest : callable
The bundle ingest function for the given set of symbols.
Examples
--------
This code should be added to ~/.catalyst/extension.py
.. code-block:: python
from catalyst.data.bundles import yahoo_equities, register
symbols = (
'AAPL',
'IBM',
'MSFT',
)
register('my_bundle', yahoo_equities(symbols))
Notes
-----
The sids for each symbol will be the index into the symbols sequence.
"""
# strict this in memory so that we can reiterate over it
symbols = tuple(symbols)
def ingest(environ,
asset_db_writer,
minute_bar_writer, # unused
daily_bar_writer,
adjustment_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
output_dir,
# pass these as defaults to make them 'nonlocal' in py2
start=start,
end=end):
if start is None:
start = start_session
if end is None:
end = None
metadata = pd.DataFrame(np.empty(len(symbols), dtype=[
('start_date', 'datetime64[ns]'),
('end_date', 'datetime64[ns]'),
('auto_close_date', 'datetime64[ns]'),
('symbol', 'object'),
]))
def _pricing_iter():
sid = 0
with maybe_show_progress(
symbols,
show_progress,
label='Downloading Yahoo pricing data: ') as it, \
requests.Session() as session:
for symbol in it:
path = _cachpath(symbol, 'ohlcv')
try:
df = cache[path]
except KeyError:
df = cache[path] = DataReader(
symbol,
'yahoo',
start,
end,
session=session,
).sort_index()
# the start date is the date of the first trade and
# the end date is the date of the last trade
start_date = df.index[0]
end_date = df.index[-1]
# The auto_close date is the day after the last trade.
ac_date = end_date + pd.Timedelta(days=1)
metadata.iloc[sid] = start_date, end_date, ac_date, symbol
df.rename(
columns={
'Open': 'open',
'High': 'high',
'Low': 'low',
'Close': 'close',
'Volume': 'volume',
},
inplace=True,
)
yield sid, df
sid += 1
daily_bar_writer.write(_pricing_iter(), show_progress=show_progress)
symbol_map = pd.Series(metadata.symbol.index, metadata.symbol)
# Hardcode the exchange to "YAHOO" for all assets and (elsewhere)
# register "YAHOO" to resolve to the NYSE calendar, because these are
# all equities and thus can use the NYSE calendar.
metadata['exchange'] = "YAHOO"
asset_db_writer.write(equities=metadata)
adjustments = []
with maybe_show_progress(
symbols,
show_progress,
label='Downloading Yahoo adjustment data: ') as it, \
requests.Session() as session:
for symbol in it:
path = _cachpath(symbol, 'adjustment')
try:
df = cache[path]
except KeyError:
df = cache[path] = DataReader(
symbol,
'yahoo-actions',
start,
end,
session=session,
).sort_index()
df['sid'] = symbol_map[symbol]
adjustments.append(df)
adj_df = pd.concat(adjustments)
adj_df.index.name = 'date'
adj_df.reset_index(inplace=True)
splits = adj_df[adj_df.action == 'SPLIT']
splits = splits.rename(
columns={'value': 'ratio', 'date': 'effective_date'},
)
splits.drop('action', axis=1, inplace=True)
dividends = adj_df[adj_df.action == 'DIVIDEND']
dividends = dividends.rename(
columns={'value': 'amount', 'date': 'ex_date'},
)
dividends.drop('action', axis=1, inplace=True)
# we do not have this data in the yahoo dataset
dividends['record_date'] = pd.NaT
dividends['declared_date'] = pd.NaT
dividends['pay_date'] = pd.NaT
adjustment_writer.write(splits=splits, dividends=dividends)
return ingest
# bundle used when creating test data
register(
'.test',
yahoo_equities(
(
'AMD',
'CERN',
'COST',
'DELL',
'GPS',
'INTC',
'MMM',
'AAPL',
'MSFT',
),
pd.Timestamp('2004-01-02', tz='utc'),
pd.Timestamp('2015-01-01', tz='utc'),
),
)
register_calendar_alias("YAHOO", "NYSE")
catalyst/data/continuous_future_reader.py
-359
View File
@@ -1,359 +0,0 @@
import numpy as np
import pandas as pd
from catalyst.data.session_bars import SessionBarReader
class ContinuousFutureSessionBarReader(SessionBarReader):
def __init__(self, bar_reader, roll_finders):
self._bar_reader = bar_reader
self._roll_finders = roll_finders
def load_raw_arrays(self, columns, start_date, end_date, assets):
"""
Parameters
----------
fields : list of str
'sid'
start_dt: Timestamp
Beginning of the window range.
end_dt: Timestamp
End of the window range.
sids : list of int
The asset identifiers in the window.
Returns
-------
list of np.ndarray
A list with an entry per field of ndarrays with shape
(minutes in range, sids) with a dtype of float64, containing the
values for the respective field over start and end dt range.
"""
rolls_by_asset = {}
for asset in assets:
rf = self._roll_finders[asset.roll_style]
rolls_by_asset[asset] = rf.get_rolls(
asset.root_symbol, start_date, end_date, asset.offset)
num_sessions = len(
self.trading_calendar.sessions_in_range(start_date, end_date))
shape = num_sessions, len(assets)
results = []
tc = self._bar_reader.trading_calendar
sessions = tc.sessions_in_range(start_date, end_date)
# Get partitions
partitions_by_asset = {}
for asset in assets:
partitions = []
partitions_by_asset[asset] = partitions
rolls = rolls_by_asset[asset]
start = start_date
for roll in rolls:
sid, roll_date = roll
start_loc = sessions.get_loc(start)
if roll_date is not None:
end = roll_date - sessions.freq
end_loc = sessions.get_loc(end)
else:
end = end_date
end_loc = len(sessions) - 1
partitions.append((sid, start, end, start_loc, end_loc))
if roll[-1] is not None:
start = sessions[end_loc + 1]
for column in columns:
if column != 'volume' and column != 'sid':
out = np.full(shape, np.nan)
else:
out = np.zeros(shape, dtype=np.int64)
for i, asset in enumerate(assets):
partitions = partitions_by_asset[asset]
for sid, start, end, start_loc, end_loc in partitions:
if column != 'sid':
result = self._bar_reader.load_raw_arrays(
[column], start, end, [sid])[0][:, 0]
else:
result = int(sid)
out[start_loc:end_loc + 1, i] = result
results.append(out)
return results
@property
def last_available_dt(self):
"""
Returns
-------
dt : pd.Timestamp
The last session for which the reader can provide data.
"""
return self._bar_reader.last_available_dt
@property
def trading_calendar(self):
"""
Returns the catalyst.utils.calendar.trading_calendar used to read
the data. Can be None (if the writer didn't specify it).
"""
return self._bar_reader.trading_calendar
@property
def first_trading_day(self):
"""
Returns
-------
dt : pd.Timestamp
The first trading day (session) for which the reader can provide
data.
"""
return self._bar_reader.first_trading_day
def get_value(self, continuous_future, dt, field):
"""
Retrieve the value at the given coordinates.
Parameters
----------
sid : int
The asset identifier.
dt : pd.Timestamp
The timestamp for the desired data point.
field : string
The OHLVC name for the desired data point.
Returns
-------
value : float|int
The value at the given coordinates, ``float`` for OHLC, ``int``
for 'volume'.
Raises
------
NoDataOnDate
If the given dt is not a valid market minute (in minute mode) or
session (in daily mode) according to this reader's tradingcalendar.
"""
rf = self._roll_finders[continuous_future.roll_style]
sid = (rf.get_contract_center(continuous_future.root_symbol,
dt,
continuous_future.offset))
return self._bar_reader.get_value(sid, dt, field)
def get_last_traded_dt(self, asset, dt):
"""
Get the latest minute on or before ``dt`` in which ``asset`` traded.
If there are no trades on or before ``dt``, returns ``pd.NaT``.
Parameters
----------
asset : catalyst.asset.Asset
The asset for which to get the last traded minute.
dt : pd.Timestamp
The minute at which to start searching for the last traded minute.
Returns
-------
last_traded : pd.Timestamp
The dt of the last trade for the given asset, using the input
dt as a vantage point.
"""
rf = self._roll_finders[asset.roll_style]
sid = (rf.get_contract_center(asset.root_symbol,
dt,
asset.offset))
if sid is None:
return pd.NaT
contract = rf.asset_finder.retrieve_asset(sid)
return self._bar_reader.get_last_traded_dt(contract, dt)
@property
def sessions(self):
"""
Returns
-------
sessions : DatetimeIndex
All session labels (unionining the range for all assets) which the
reader can provide.
"""
return self._bar_reader.sessions
class ContinuousFutureMinuteBarReader(SessionBarReader):
def __init__(self, bar_reader, roll_finders):
self._bar_reader = bar_reader
self._roll_finders = roll_finders
def load_raw_arrays(self, columns, start_date, end_date, assets):
"""
Parameters
----------
fields : list of str
'open', 'high', 'low', 'close', or 'volume'
start_dt: Timestamp
Beginning of the window range.
end_dt: Timestamp
End of the window range.
sids : list of int
The asset identifiers in the window.
Returns
-------
list of np.ndarray
A list with an entry per field of ndarrays with shape
(minutes in range, sids) with a dtype of float64, containing the
values for the respective field over start and end dt range.
"""
rolls_by_asset = {}
tc = self.trading_calendar
start_session = tc.minute_to_session_label(start_date)
end_session = tc.minute_to_session_label(end_date)
for asset in assets:
rf = self._roll_finders[asset.roll_style]
rolls_by_asset[asset] = rf.get_rolls(
asset.root_symbol,
start_session,
end_session, asset.offset)
sessions = tc.sessions_in_range(start_date, end_date)
minutes = tc.minutes_in_range(start_date, end_date)
num_minutes = len(minutes)
shape = num_minutes, len(assets)
results = []
# Get partitions
partitions_by_asset = {}
for asset in assets:
partitions = []
partitions_by_asset[asset] = partitions
rolls = rolls_by_asset[asset]
start = start_date
for roll in rolls:
sid, roll_date = roll
start_loc = minutes.searchsorted(start)
if roll_date is not None:
_, end = tc.open_and_close_for_session(
roll_date - sessions.freq)
end_loc = minutes.searchsorted(end)
else:
end = end_date
end_loc = len(minutes) - 1
partitions.append((sid, start, end, start_loc, end_loc))
if roll[-1] is not None:
start, _ = tc.open_and_close_for_session(
tc.minute_to_session_label(minutes[end_loc + 1]))
for column in columns:
if column != 'volume':
out = np.full(shape, np.nan)
else:
out = np.zeros(shape, dtype=np.uint32)
for i, asset in enumerate(assets):
partitions = partitions_by_asset[asset]
for sid, start, end, start_loc, end_loc in partitions:
if column != 'sid':
result = self._bar_reader.load_raw_arrays(
[column], start, end, [sid])[0][:, 0]
else:
result = int(sid)
out[start_loc:end_loc + 1, i] = result
results.append(out)
return results
@property
def last_available_dt(self):
"""
Returns
-------
dt : pd.Timestamp
The last session for which the reader can provide data.
"""
return self._bar_reader.last_available_dt
@property
def trading_calendar(self):
"""
Returns the catalyst.utils.calendar.trading_calendar used to read
the data. Can be None (if the writer didn't specify it).
"""
return self._bar_reader.trading_calendar
@property
def first_trading_day(self):
"""
Returns
-------
dt : pd.Timestamp
The first trading day (session) for which the reader can provide
data.
"""
return self._bar_reader.first_trading_day
def get_value(self, continuous_future, dt, field):
"""
Retrieve the value at the given coordinates.
Parameters
----------
sid : int
The asset identifier.
dt : pd.Timestamp
The timestamp for the desired data point.
field : string
The OHLVC name for the desired data point.
Returns
-------
value : float|int
The value at the given coordinates, ``float`` for OHLC, ``int``
for 'volume'.
Raises
------
NoDataOnDate
If the given dt is not a valid market minute (in minute mode) or
session (in daily mode) according to this reader's tradingcalendar.
"""
rf = self._roll_finders[continuous_future.roll_style]
sid = (rf.get_contract_center(continuous_future.root_symbol,
dt,
continuous_future.offset))
return self._bar_reader.get_value(sid, dt, field)
def get_last_traded_dt(self, asset, dt):
"""
Get the latest minute on or before ``dt`` in which ``asset`` traded.
If there are no trades on or before ``dt``, returns ``pd.NaT``.
Parameters
----------
asset : catalyst.asset.Asset
The asset for which to get the last traded minute.
dt : pd.Timestamp
The minute at which to start searching for the last traded minute.
Returns
-------
last_traded : pd.Timestamp
The dt of the last trade for the given asset, using the input
dt as a vantage point.
"""
rf = self._roll_finders[asset.roll_style]
sid = (rf.get_contract_center(asset.root_symbol,
dt,
asset.offset))
if sid is None:
return pd.NaT
contract = rf.asset_finder.retrieve_asset(sid)
return self._bar_reader.get_last_traded_dt(contract, dt)
@property
def sessions(self):
return self._bar_reader.sessions
catalyst/data/data_portal.py
-1426
View File
File diff suppressed because it is too large Load Diff
catalyst/data/dispatch_bar_reader.py
-150
View File
@@ -1,150 +0,0 @@
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import ABCMeta, abstractmethod
from numpy import (
full,
nan,
int64,
float64,
zeros
)
from six import iteritems, with_metaclass
from catalyst.utils.memoize import lazyval
class AssetDispatchBarReader(with_metaclass(ABCMeta)):
"""
Parameters
----------
- trading_calendar : catalyst.utils.trading_calendar.TradingCalendar
- asset_finder : catalyst.assets.AssetFinder
- readers : dict
A dict mapping Asset type to the corresponding
[Minute|Session]BarReader
- last_available_dt : pd.Timestamp or None, optional
If not provided, infers it by using the min of the
last_available_dt values of the underlying readers.
"""
def __init__(
self,
trading_calendar,
asset_finder,
readers,
last_available_dt=None,
):
self._trading_calendar = trading_calendar
self._asset_finder = asset_finder
self._readers = readers
self._last_available_dt = last_available_dt
for t, r in iteritems(self._readers):
assert trading_calendar == r.trading_calendar, \
"All readers must share target trading_calendar. " \
"Reader={0} for type={1} uses calendar={2} which does not " \
"match the desired shared calendar={3} ".format(
r, t, r.trading_calendar, trading_calendar)
@abstractmethod
def _dt_window_size(self, start_dt, end_dt):
pass
@property
def _asset_types(self):
return self._readers.keys()
def _make_raw_array_shape(self, start_dt, end_dt, num_sids):
return self._dt_window_size(start_dt, end_dt), num_sids
def _make_raw_array_out(self, field, shape):
if field == 'volume':
out = zeros(shape, dtype=float64)
elif field != 'sid':
out = full(shape, nan)
else:
out = zeros(shape, dtype=int64)
return out
@property
def trading_calendar(self):
return self._trading_calendar
@lazyval
def last_available_dt(self):
if self._last_available_dt is not None:
return self._last_available_dt
else:
return min(r.last_available_dt for r in self._readers.values())
@lazyval
def first_trading_day(self):
return max(r.first_trading_day for r in self._readers.values())
def get_value(self, sid, dt, field):
asset = self._asset_finder.retrieve_asset(sid)
r = self._readers[type(asset)]
return r.get_value(asset, dt, field)
def get_last_traded_dt(self, asset, dt):
r = self._readers[type(asset)]
return r.get_last_traded_dt(asset, dt)
def load_raw_arrays(self, fields, start_dt, end_dt, sids):
asset_types = self._asset_types
sid_groups = {t: [] for t in asset_types}
out_pos = {t: [] for t in asset_types}
assets = self._asset_finder.retrieve_all(sids)
for i, asset in enumerate(assets):
t = type(asset)
sid_groups[t].append(asset)
out_pos[t].append(i)
batched_arrays = {
t: self._readers[t].load_raw_arrays(fields,
start_dt,
end_dt,
sid_groups[t])
for t in asset_types if sid_groups[t]}
results = []
shape = self._make_raw_array_shape(start_dt, end_dt, len(sids))
for i, field in enumerate(fields):
out = self._make_raw_array_out(field, shape)
for t, arrays in iteritems(batched_arrays):
out[:, out_pos[t]] = arrays[i]
results.append(out)
return results
class AssetDispatchMinuteBarReader(AssetDispatchBarReader):
def _dt_window_size(self, start_dt, end_dt):
return len(self.trading_calendar.minutes_in_range(start_dt, end_dt))
class AssetDispatchSessionBarReader(AssetDispatchBarReader):
def _dt_window_size(self, start_dt, end_dt):
return len(self.trading_calendar.sessions_in_range(start_dt, end_dt))
@lazyval
def sessions(self):
return self.trading_calendar.sessions_in_range(
self.first_trading_day,
self.last_available_dt)
catalyst/data/history_loader.py
-597
View File
@@ -1,597 +0,0 @@
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import (
ABCMeta,
abstractmethod,
abstractproperty,
)
from numpy import concatenate
from lru import LRU
from pandas import isnull
from pandas.tslib import normalize_date
from toolz import sliding_window
from six import with_metaclass
from catalyst.assets import Equity, Future
from catalyst.assets.continuous_futures import ContinuousFuture
from catalyst.lib._int64window import AdjustedArrayWindow as Int64Window
from catalyst.lib._float64window import AdjustedArrayWindow as Float64Window
from catalyst.lib.adjustment import Float64Multiply, Float64Add
from catalyst.utils.cache import ExpiringCache
from catalyst.utils.math_utils import number_of_decimal_places
from catalyst.utils.memoize import lazyval
from catalyst.utils.numpy_utils import float64_dtype
from catalyst.utils.pandas_utils import find_in_sorted_index
# Default number of decimal places used for rounding asset prices.
DEFAULT_ASSET_PRICE_DECIMALS = 9
class HistoryCompatibleUSEquityAdjustmentReader(object):
def __init__(self, adjustment_reader):
self._adjustments_reader = adjustment_reader
def load_adjustments(self, columns, dts, assets):
"""
Returns
-------
adjustments : list[dict[int -> Adjustment]]
A list, where each element corresponds to the `columns`, of
mappings from index to adjustment objects to apply at that index.
"""
out = [None] * len(columns)
for i, column in enumerate(columns):
adjs = {}
for asset in assets:
adjs.update(self._get_adjustments_in_range(
asset, dts, column))
out[i] = adjs
return out
def _get_adjustments_in_range(self, asset, dts, field):
"""
Get the Float64Multiply objects to pass to an AdjustedArrayWindow.
For the use of AdjustedArrayWindow in the loader, which looks back
from current simulation time back to a window of data the dictionary is
structured with:
- the key into the dictionary for adjustments is the location of the
day from which the window is being viewed.
- the start of all multiply objects is always 0 (in each window all
adjustments are overlapping)
- the end of the multiply object is the location before the calendar
location of the adjustment action, making all days before the event
adjusted.
Parameters
----------
asset : Asset
The assets for which to get adjustments.
dts : iterable of datetime64-like
The dts for which adjustment data is needed.
field : str
OHLCV field for which to get the adjustments.
Returns
-------
out : dict[loc -> Float64Multiply]
The adjustments as a dict of loc -> Float64Multiply
"""
sid = int(asset)
start = normalize_date(dts[0])
end = normalize_date(dts[-1])
adjs = {}
if field != 'volume':
mergers = self._adjustments_reader.get_adjustments_for_sid(
'mergers', sid)
for m in mergers:
dt = m[0]
if start < dt <= end:
end_loc = dts.searchsorted(dt)
adj_loc = end_loc
mult = Float64Multiply(0,
end_loc - 1,
0,
0,
m[1])
try:
adjs[adj_loc].append(mult)
except KeyError:
adjs[adj_loc] = [mult]
divs = self._adjustments_reader.get_adjustments_for_sid(
'dividends', sid)
for d in divs:
dt = d[0]
if start < dt <= end:
end_loc = dts.searchsorted(dt)
adj_loc = end_loc
mult = Float64Multiply(0,
end_loc - 1,
0,
0,
d[1])
try:
adjs[adj_loc].append(mult)
except KeyError:
adjs[adj_loc] = [mult]
splits = self._adjustments_reader.get_adjustments_for_sid(
'splits', sid)
for s in splits:
dt = s[0]
if start < dt <= end:
if field == 'volume':
ratio = 1.0 / s[1]
else:
ratio = s[1]
end_loc = dts.searchsorted(dt)
adj_loc = end_loc
mult = Float64Multiply(0,
end_loc - 1,
0,
0,
ratio)
try:
adjs[adj_loc].append(mult)
except KeyError:
adjs[adj_loc] = [mult]
return adjs
class ContinuousFutureAdjustmentReader(object):
"""
Calculates adjustments for continuous futures, based on the
close and open of the contracts on the either side of each roll.
"""
def __init__(self,
trading_calendar,
asset_finder,
bar_reader,
roll_finders,
frequency):
self._trading_calendar = trading_calendar
self._asset_finder = asset_finder
self._bar_reader = bar_reader
self._roll_finders = roll_finders
self._frequency = frequency
def load_adjustments(self, columns, dts, assets):
"""
Returns
-------
adjustments : list[dict[int -> Adjustment]]
A list, where each element corresponds to the `columns`, of
mappings from index to adjustment objects to apply at that index.
"""
out = [None] * len(columns)
for i, column in enumerate(columns):
adjs = {}
for asset in assets:
adjs.update(self._get_adjustments_in_range(
asset, dts, column))
out[i] = adjs
return out
def _make_adjustment(self,
adjustment_type,
front_close,
back_close,
end_loc):
adj_base = back_close - front_close
if adjustment_type == 'mul':
adj_value = 1.0 + adj_base / front_close
adj_class = Float64Multiply
elif adjustment_type == 'add':
adj_value = adj_base
adj_class = Float64Add
return adj_class(0,
end_loc,
0,
0,
adj_value)
def _get_adjustments_in_range(self, cf, dts, field):
if field == 'volume' or field == 'sid':
return {}
if cf.adjustment is None:
return {}
rf = self._roll_finders[cf.roll_style]
partitions = []
rolls = rf.get_rolls(cf.root_symbol, dts[0], dts[-1],
cf.offset)
tc = self._trading_calendar
adjs = {}
for front, back in sliding_window(2, rolls):
front_sid, roll_dt = front
back_sid = back[0]
dt = tc.previous_session_label(roll_dt)
if self._frequency == 'minute':
dt = tc.open_and_close_for_session(dt)[1]
roll_dt = tc.open_and_close_for_session(roll_dt)[0]
partitions.append((front_sid,
back_sid,
dt,
roll_dt))
for partition in partitions:
front_sid, back_sid, dt, roll_dt = partition
last_front_dt = self._bar_reader.get_last_traded_dt(
self._asset_finder.retrieve_asset(front_sid), dt)
last_back_dt = self._bar_reader.get_last_traded_dt(
self._asset_finder.retrieve_asset(back_sid), dt)
if isnull(last_front_dt) or isnull(last_back_dt):
continue
front_close = self._bar_reader.get_value(
front_sid, last_front_dt, 'close')
back_close = self._bar_reader.get_value(
back_sid, last_back_dt, 'close')
adj_loc = dts.searchsorted(roll_dt)
end_loc = adj_loc - 1
adj = self._make_adjustment(cf.adjustment,
front_close,
back_close,
end_loc)
try:
adjs[adj_loc].append(adj)
except KeyError:
adjs[adj_loc] = [adj]
return adjs
class SlidingWindow(object):
"""
Wrapper around an AdjustedArrayWindow which supports monotonically
increasing (by datetime) requests for a sized window of data.
Parameters
----------
window : AdjustedArrayWindow
Window of pricing data with prefetched values beyond the current
simulation dt.
cal_start : int
Index in the overall calendar at which the window starts.
"""
def __init__(self, window, size, cal_start, offset):
self.window = window
self.cal_start = cal_start
self.current = next(window)
self.offset = offset
self.most_recent_ix = self.cal_start + size
def get(self, end_ix):
"""
Returns
-------
out : A np.ndarray of the equity pricing up to end_ix after adjustments
and rounding have been applied.
"""
if self.most_recent_ix == end_ix:
return self.current
target = end_ix - self.cal_start - self.offset + 1
self.current = self.window.seek(target)
self.most_recent_ix = end_ix
return self.current
class HistoryLoader(with_metaclass(ABCMeta)):
"""
Loader for sliding history windows, with support for adjustments.
Parameters
----------
trading_calendar: TradingCalendar
Contains the grouping logic needed to assign minutes to periods.
reader : DailyBarReader, MinuteBarReader
Reader for pricing bars.
adjustment_reader : SQLiteAdjustmentReader
Reader for adjustment data.
"""
FIELDS = ('open', 'high', 'low', 'close', 'volume', 'sid')
def __init__(self, trading_calendar, reader, equity_adjustment_reader,
asset_finder,
roll_finders=None,
sid_cache_size=1000,
prefetch_length=0):
self.trading_calendar = trading_calendar
self._asset_finder = asset_finder
self._reader = reader
self._adjustment_readers = {}
if equity_adjustment_reader is not None:
self._adjustment_readers[Equity] = \
HistoryCompatibleUSEquityAdjustmentReader(
equity_adjustment_reader)
if roll_finders:
self._adjustment_readers[ContinuousFuture] =\
ContinuousFutureAdjustmentReader(trading_calendar,
asset_finder,
reader,
roll_finders,
self._frequency)
self._window_blocks = {
field: ExpiringCache(LRU(sid_cache_size))
for field in self.FIELDS
}
self._prefetch_length = prefetch_length
@abstractproperty
def _frequency(self):
pass
@abstractproperty
def _calendar(self):
pass
@abstractmethod
def _array(self, start, end, assets, field):
pass
def _decimal_places_for_asset(self, asset, reference_date):
if isinstance(asset, Future) and asset.tick_size:
return number_of_decimal_places(asset.tick_size)
elif isinstance(asset, ContinuousFuture):
# Tick size should be the same for all contracts of a continuous
# future, so arbitrarily get the contract with next upcoming auto
# close date.
oc = self._asset_finder.get_ordered_contracts(asset.root_symbol)
contract_sid = oc.contract_before_auto_close(reference_date.value)
if contract_sid is not None:
contract = self._asset_finder.retrieve_asset(contract_sid)
if contract.tick_size:
return number_of_decimal_places(contract.tick_size)
return DEFAULT_ASSET_PRICE_DECIMALS
def _ensure_sliding_windows(self, assets, dts, field,
is_perspective_after):
"""
Ensure that there is a Float64Multiply window for each asset that can
provide data for the given parameters.
If the corresponding window for the (assets, len(dts), field) does not
exist, then create a new one.
If a corresponding window does exist for (assets, len(dts), field), but
can not provide data for the current dts range, then create a new
one and replace the expired window.
Parameters
----------
assets : iterable of Assets
The assets in the window
dts : iterable of datetime64-like
The datetimes for which to fetch data.
Makes an assumption that all dts are present and contiguous,
in the calendar.
field : str
The OHLCV field for which to retrieve data.
is_perspective_after : bool
see: `PricingHistoryLoader.history`
Returns
-------
out : list of Float64Window with sufficient data so that each asset's
window can provide `get` for the index corresponding with the last
value in `dts`
"""
end = dts[-1]
size = len(dts)
asset_windows = {}
needed_assets = []
cal = self._calendar
assets = self._asset_finder.retrieve_all(assets)
end_ix = find_in_sorted_index(cal, end)
for asset in assets:
try:
window = self._window_blocks[field].get(
(asset, size, is_perspective_after), end)
except KeyError:
needed_assets.append(asset)
else:
if end_ix < window.most_recent_ix:
# Window needs reset. Requested end index occurs before the
# end index from the previous history call for this window.
# Grab new window instead of rewinding adjustments.
needed_assets.append(asset)
else:
asset_windows[asset] = window
if needed_assets:
offset = 0
start_ix = find_in_sorted_index(cal, dts[0])
prefetch_end_ix = min(end_ix + self._prefetch_length, len(cal) - 1)
prefetch_end = cal[prefetch_end_ix]
prefetch_dts = cal[start_ix:prefetch_end_ix + 1]
if is_perspective_after:
adj_end_ix = min(prefetch_end_ix + 1, len(cal) - 1)
adj_dts = cal[start_ix:adj_end_ix + 1]
else:
adj_dts = prefetch_dts
prefetch_len = len(prefetch_dts)
array = self._array(prefetch_dts, needed_assets, field)
if field == 'sid':
window_type = Int64Window
else:
window_type = Float64Window
view_kwargs = {}
if field == 'volume':
array = array.astype(float64_dtype)
for i, asset in enumerate(needed_assets):
adj_reader = None
try:
adj_reader = self._adjustment_readers[type(asset)]
except KeyError:
adj_reader = None
if adj_reader is not None:
adjs = adj_reader.load_adjustments(
[field], adj_dts, [asset])[0]
else:
adjs = {}
window = window_type(
array[:, i].reshape(prefetch_len, 1),
view_kwargs,
adjs,
offset,
size,
int(is_perspective_after),
self._decimal_places_for_asset(asset, dts[-1]),
)
sliding_window = SlidingWindow(window, size, start_ix, offset)
asset_windows[asset] = sliding_window
self._window_blocks[field].set(
(asset, size, is_perspective_after),
sliding_window,
prefetch_end)
return [asset_windows[asset] for asset in assets]
def history(self, assets, dts, field, is_perspective_after):
"""
A window of pricing data with adjustments applied assuming that the
end of the window is the day before the current simulation time.
Parameters
----------
assets : iterable of Assets
The assets in the window.
dts : iterable of datetime64-like
The datetimes for which to fetch data.
Makes an assumption that all dts are present and contiguous,
in the calendar.
field : str
The OHLCV field for which to retrieve data.
is_perspective_after : bool
True, if the window is being viewed immediately after the last dt
in the sliding window.
False, if the window is viewed on the last dt.
This flag is used for handling the case where the last dt in the
requested window immediately precedes a corporate action, e.g.:
- is_perspective_after is True
When the viewpoint is after the last dt in the window, as when a
daily history window is accessed from a simulation that uses a
minute data frequency, the history call to this loader will not
include the current simulation dt. At that point in time, the raw
data for the last day in the window will require adjustment, so the
most recent adjustment with respect to the simulation time is
applied to the last dt in the requested window.
An example equity which has a 0.5 split ratio dated for 05-27,
with the dts for a history call of 5 bars with a '1d' frequency at
05-27 9:31. Simulation frequency is 'minute'.
(In this case this function is called with 4 daily dts, and the
calling function is responsible for stitching back on the
'current' dt)
| | | | | last dt | <-- viewer is here |
| | 05-23 | 05-24 | 05-25 | 05-26 | 05-27 9:31 |
| raw | 10.10 | 10.20 | 10.30 | 10.40 | |
| adj | 5.05 | 5.10 | 5.15 | 5.25 | |
The adjustment is applied to the last dt, 05-26, and all previous
dts.
- is_perspective_after is False, daily
When the viewpoint is the same point in time as the last dt in the
window, as when a daily history window is accessed from a
simulation that uses a daily data frequency, the history call will
include the current dt. At that point in time, the raw data for the
last day in the window will be post-adjustment, so no adjustment
is applied to the last dt.
An example equity which has a 0.5 split ratio dated for 05-27,
with the dts for a history call of 5 bars with a '1d' frequency at
05-27 0:00. Simulation frequency is 'daily'.
| | | | | | <-- viewer is here |
| | | | | | last dt |
| | 05-23 | 05-24 | 05-25 | 05-26 | 05-27 |
| raw | 10.10 | 10.20 | 10.30 | 10.40 | 5.25 |
| adj | 5.05 | 5.10 | 5.15 | 5.20 | 5.25 |
Adjustments are applied 05-23 through 05-26 but not to the last dt,
05-27
Returns
-------
out : np.ndarray with shape(len(days between start, end), len(assets))
"""
block = self._ensure_sliding_windows(assets,
dts,
field,
is_perspective_after)
end_ix = self._calendar.searchsorted(dts[-1])
return concatenate(
[window.get(end_ix) for window in block],
axis=1,
)
class DailyHistoryLoader(HistoryLoader):
@property
def _frequency(self):
return 'daily'
@property
def _calendar(self):
return self._reader.sessions
def _array(self, dts, assets, field):
return self._reader.load_raw_arrays(
[field],
dts[0],
dts[-1],
assets,
)[0]
class MinuteHistoryLoader(HistoryLoader):
@property
def _frequency(self):
return 'minute'
@lazyval
def _calendar(self):
mm = self.trading_calendar.all_minutes
start = mm.searchsorted(self._reader.first_trading_day)
end = mm.searchsorted(self._reader.last_available_dt, side='right')
return mm[start:end]
def _array(self, dts, assets, field):
return self._reader.load_raw_arrays(
[field],
dts[0],
dts[-1],
assets,
)[0]
catalyst/data/loader.py
-742
View File
@@ -1,742 +0,0 @@
#
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import datetime
import os
from collections import OrderedDict
import logbook
import pandas as pd
import pytz
from pandas_datareader.data import DataReader
from six import iteritems
from six.moves.urllib_error import HTTPError
from catalyst.utils.calendars import get_calendar
from . import treasuries, treasuries_can
from .benchmarks import get_benchmark_returns
from ..utils.deprecate import deprecated
from ..utils.paths import (
cache_root,
data_root,
)
logger = logbook.Logger('Loader')
# Mapping from index symbol to appropriate bond data
INDEX_MAPPING = {
'SPY':
(treasuries, 'treasury_curves.csv', 'www.federalreserve.gov'),
'^GSPTSE':
(treasuries_can, 'treasury_curves_can.csv', 'bankofcanada.ca'),
'^FTSE': # use US treasuries until UK bonds implemented
(treasuries, 'treasury_curves.csv', 'www.federalreserve.gov'),
}
ONE_HOUR = pd.Timedelta(hours=1)
def last_modified_time(path):
"""
Get the last modified time of path as a Timestamp.
"""
return pd.Timestamp(os.path.getmtime(path), unit='s', tz='UTC')
def get_data_filepath(name, environ=None):
"""
Returns a handle to data file.
Creates containing directory, if needed.
"""
dr = data_root(environ)
if not os.path.exists(dr):
os.makedirs(dr)
return os.path.join(dr, name)
def get_cache_filepath(name):
cr = cache_root()
if not os.path.exists(cr):
os.makedirs(cr)
return os.path.join(cr, name)
def get_benchmark_filename(symbol):
return "%s_benchmark.csv" % symbol
def has_data_for_dates(series_or_df, first_date, last_date):
"""
Does `series_or_df` have data on or before first_date and on or after
last_date?
"""
dts = series_or_df.index
if not isinstance(dts, pd.DatetimeIndex):
raise TypeError("Expected a DatetimeIndex, but got %s." % type(dts))
first, last = dts[[0, -1]].tz_localize(None)
return (first <= first_date.tz_localize(None)) and (
last >= last_date.tz_localize(None))
def load_crypto_market_data(trading_day=None, trading_days=None,
bm_symbol=None, bundle=None, bundle_data=None,
environ=None, exchange=None):
if trading_day is None:
trading_day = get_calendar('OPEN').trading_day
# TODO: consider making configurable
bm_symbol = 'btc_usdt'
# if trading_days is None:
# trading_days = get_calendar('OPEN').schedule
first_date = get_calendar('OPEN').first_trading_session
now = pd.Timestamp.utcnow()
# We expect to have benchmark and treasury data that's current up until
# **two** full trading days prior to the most recently completed trading
# day.
# Example:
# On Thu Oct 22 2015, the previous completed trading day is Wed Oct 21.
# However, data for Oct 21 doesn't become available until the early morning
# hours of Oct 22. This means that there are times on the 22nd at which we
# cannot reasonably expect to have data for the 21st available. To be
# conservative, we instead expect that at any time on the 22nd, we can
# download data for Tuesday the 20th, which is two full trading days prior
# to the date on which we're running a test.
# We'll attempt to download new data if the latest entry in our cache is
# before this date.
'''
if(bundle_data):
# If we are using the bundle to retrieve the cryptobenchmark, find the last
# date for which there is trading data in the bundle
asset = bundle_data.asset_finder.lookup_symbol(symbol=bm_symbol,as_of_date=None)
ix = bundle_data.daily_bar_reader._last_rows[asset.sid]
last_date = pd.to_datetime(bundle_data.daily_bar_reader._spot_col('day')[ix],unit='s')
else:
last_date = trading_days[trading_days.get_loc(now, method='ffill') - 2]
'''
last_date = trading_days[trading_days.get_loc(now, method='ffill') - 1]
if exchange is None:
# This is exceptional, since placing the import at the module scope
# breaks things and it's only needed here
from catalyst.exchange.poloniex.poloniex import Poloniex
exchange = Poloniex('', '', '')
benchmark_asset = exchange.get_asset(bm_symbol)
# exchange.get_history_window() already ensures that we have the right data
# for the right dates
br = exchange.get_history_window(
assets=[benchmark_asset],
end_dt=last_date,
bar_count=pd.Timedelta(last_date - first_date).days,
frequency='1d',
field='close',
data_frequency='daily')
br.columns = ['close']
br = br.pct_change(1).iloc[1:]
br.loc[first_date]=0
br=br.sort_index()
# Override first_date for treasury data since we have it for many more years
# and is independent of crypto data
first_date_treasury = pd.Timestamp('1990-01-02', tz='UTC')
tc = ensure_treasury_data(
bm_symbol,
first_date_treasury,
last_date,
now,
environ,
)
benchmark_returns = br[br.index.slice_indexer(first_date, last_date)]
treasury_curves = tc[
tc.index.slice_indexer(first_date_treasury, last_date)]
return benchmark_returns, treasury_curves
def load_market_data(trading_day=None, trading_days=None, bm_symbol='SPY',
environ=None):
"""
Load benchmark returns and treasury yield curves for the given calendar and
benchmark symbol.
Benchmarks are downloaded as a Series from Google Finance. Treasury curves
are US Treasury Bond rates and are downloaded from 'www.federalreserve.gov'
by default. For Canadian exchanges, a loader for Canadian bonds from the
Bank of Canada is also available.
Results downloaded from the internet are cached in
~/.catalyst/data. Subsequent loads will attempt to read from the cached
files before falling back to redownload.
Parameters
----------
trading_day : pandas.CustomBusinessDay, optional
A trading_day used to determine the latest day for which we
expect to have data. Defaults to an NYSE trading day.
trading_days : pd.DatetimeIndex, optional
A calendar of trading days. Also used for determining what cached
dates we should expect to have cached. Defaults to the NYSE calendar.
bm_symbol : str, optional
Symbol for the benchmark index to load. Defaults to 'SPY', the Google
ticker for the S&P 500.
Returns
-------
(benchmark_returns, treasury_curves) : (pd.Series, pd.DataFrame)
Notes
-----
Both return values are DatetimeIndexed with values dated to midnight in UTC
of each stored date. The columns of `treasury_curves` are:
'1month', '3month', '6month',
'1year','2year','3year','5year','7year','10year','20year','30year'
"""
if trading_day is None:
trading_day = get_calendar('NYSE').trading_day
if trading_days is None:
trading_days = get_calendar('NYSE').all_sessions
first_date = trading_days[0]
now = pd.Timestamp.utcnow()
# We expect to have benchmark and treasury data that's current up until
# **two** full trading days prior to the most recently completed trading
# day.
# Example:
# On Thu Oct 22 2015, the previous completed trading day is Wed Oct 21.
# However, data for Oct 21 doesn't become available until the early morning
# hours of Oct 22. This means that there are times on the 22nd at which we
# cannot reasonably expect to have data for the 21st available. To be
# conservative, we instead expect that at any time on the 22nd, we can
# download data for Tuesday the 20th, which is two full trading days prior
# to the date on which we're running a test.
# We'll attempt to download new data if the latest entry in our cache is
# before this date.
last_date = trading_days[trading_days.get_loc(now, method='ffill') - 2]
br = ensure_benchmark_data(
bm_symbol,
first_date,
last_date,
now,
# We need the trading_day to figure out the close prior to the first
# date so that we can compute returns for the first date.
trading_day,
environ,
)
tc = ensure_treasury_data(
bm_symbol,
first_date,
last_date,
now,
environ,
)
benchmark_returns = br[br.index.slice_indexer(first_date, last_date)]
treasury_curves = tc[tc.index.slice_indexer(first_date, last_date)]
return benchmark_returns, treasury_curves
def ensure_crypto_benchmark_data(symbol,
first_date,
last_date,
now,
trading_day,
bundle,
bundle_data,
environ=None):
filename = get_benchmark_filename(symbol)
logger.info(
('Loading benchmark data for {symbol!r} '
'from {first_date} to {last_date}'),
symbol=symbol,
first_date=first_date,
last_date=last_date
)
data = _load_cached_data(
filename,
first_date,
last_date,
now,
'benchmark',
environ,
)
if data is not None:
return data
# If no cached data was found or it was missing any dates then download the
# necessary data.
if (bundle == 'poloniex'):
'''
If we're using the Poloniex bundle, we'll get the benchmark from the bundle
instead of downloading it from Poloniex every time we need it.
Poloniex has a captcha for API queries originating from outside the US that
prevents users abroad from getting Catalyst to work
'''
logger.info(
(
'Retrieving benchmark data from bundle for {symbol!r} from {first_date} to {last_date}'),
symbol=symbol, first_date=first_date, last_date=last_date)
asset = bundle_data.asset_finder.lookup_symbol(symbol=symbol,
as_of_date=None)
fields = ['day', 'close']
raw = bundle_data.daily_bar_reader.load_raw_arrays(
columns=fields,
start_date=first_date - trading_day,
end_date=last_date,
assets=[asset, ])
bench_raw = pd.concat([pd.DataFrame(raw[0], columns=['date']),
pd.DataFrame(raw[1], columns=['close'])],
axis=1)
bench_raw['date'] = pd.to_datetime(bench_raw['date'], unit='s')
bench_raw.set_index('date', inplace=True)
bench_raw.sort_index(inplace=True)
bench_raw = bench_raw[
pd.to_datetime(first_date - trading_day):pd.to_datetime(
last_date)]
else:
# This is how it used to be: downloading the benchmark everytime.
# Leaving this code here to be repurposed in the future for other bundles.
logger.info(
(
'Downloading benchmark data for {symbol!r} from {first_date} to {last_date}'),
symbol=symbol, first_date=first_date, last_date=last_date)
raise DeprecationWarning('poloniex bundle deprecated')
# Load benchmark symbol from Poloniex API
# try:
# bundle = PoloniexBundle()
# bench_raw = bundle._fetch_symbol_frame(
# None,
# symbol,
# get_calendar(bundle.calendar_name),
# first_date - trading_day,
# last_date,
# 'daily',
# )
# except (OSError, IOError, HTTPError):
# logger.exception('Failed to fetch new crypto benchmark returns')
# raise
# select close column and compute percent change between days
daily_close = bench_raw[['close']]
daily_close = daily_close.pct_change(1).iloc[1:]
try:
# write to benchmark csv cache
daily_close.to_csv(get_data_filepath(filename, environ))
except (OSError, IOError, HTTPError):
logger.exception('Failed to cache the new benchmark returns')
raise
if not has_data_for_dates(daily_close, first_date, last_date):
logger.warn("Still don't have expected data after redownload!")
return daily_close
def ensure_benchmark_data(symbol, first_date, last_date, now, trading_day,
environ=None):
"""
Ensure we have benchmark data for `symbol` from `first_date` to `last_date`
Parameters
----------
symbol : str
The symbol for the benchmark to load.
first_date : pd.Timestamp
First required date for the cache.
last_date : pd.Timestamp
Last required date for the cache.
now : pd.Timestamp
The current time. This is used to prevent repeated attempts to
re-download data that isn't available due to scheduling quirks or other
failures.
trading_day : pd.CustomBusinessDay
A trading day delta. Used to find the day before first_date so we can
get the close of the day prior to first_date.
We attempt to download data unless we already have data stored at the data
cache for `symbol` whose first entry is before or on `first_date` and whose
last entry is on or after `last_date`.
If we perform a download and the cache criteria are not satisfied, we wait
at least one hour before attempting a redownload. This is determined by
comparing the current time to the result of os.path.getmtime on the cache
path.
"""
filename = get_benchmark_filename(symbol)
data = _load_cached_data(filename, first_date, last_date, now, 'benchmark',
environ)
if data is not None:
return data
# If no cached data was found or it was missing any dates then download the
# necessary data.
logger.info(
('Downloading benchmark data for {symbol!r} '
'from {first_date} to {last_date}'),
symbol=symbol,
first_date=first_date - trading_day,
last_date=last_date
)
try:
data = get_benchmark_returns(
symbol,
first_date - trading_day,
last_date,
)
data.to_csv(get_data_filepath(filename, environ))
except (OSError, IOError, HTTPError):
logger.exception('Failed to cache the new benchmark returns')
raise
if not has_data_for_dates(data, first_date, last_date):
logger.warn("Still don't have expected data after redownload!")
return data
def ensure_benchmark_data(symbol, first_date, last_date, now, trading_day,
environ=None):
"""
Ensure we have benchmark data for `symbol` from `first_date` to `last_date`
Parameters
----------
symbol : str
The symbol for the benchmark to load.
first_date : pd.Timestamp
First required date for the cache.
last_date : pd.Timestamp
Last required date for the cache.
now : pd.Timestamp
The current time. This is used to prevent repeated attempts to
re-download data that isn't available due to scheduling quirks or other
failures.
trading_day : pd.CustomBusinessDay
A trading day delta. Used to find the day before first_date so we can
get the close of the day prior to first_date.
We attempt to download data unless we already have data stored at the data
cache for `symbol` whose first entry is before or on `first_date` and whose
last entry is on or after `last_date`.
If we perform a download and the cache criteria are not satisfied, we wait
at least one hour before attempting a redownload. This is determined by
comparing the current time to the result of os.path.getmtime on the cache
path.
"""
filename = get_benchmark_filename(symbol)
data = _load_cached_data(filename, first_date, last_date, now, 'benchmark',
environ)
if data is not None:
return data
# If no cached data was found or it was missing any dates then download the
# necessary data.
logger.info(
('Downloading benchmark data for {symbol!r} '
'from {first_date} to {last_date}'),
symbol=symbol,
first_date=first_date - trading_day,
last_date=last_date
)
try:
data = get_benchmark_returns(
symbol,
first_date - trading_day,
last_date,
)
data.to_csv(get_data_filepath(filename, environ))
except (OSError, IOError, HTTPError):
logger.exception('Failed to cache the new benchmark returns')
raise
if not has_data_for_dates(data, first_date, last_date):
logger.warn("Still don't have expected data after redownload!")
return data
def ensure_treasury_data(symbol, first_date, last_date, now, environ=None):
"""
Ensure we have treasury data from treasury module associated with
`symbol`.
Parameters
----------
symbol : str
Benchmark symbol for which we're loading associated treasury curves.
first_date : pd.Timestamp
First date required to be in the cache.
last_date : pd.Timestamp
Last date required to be in the cache.
now : pd.Timestamp
The current time. This is used to prevent repeated attempts to
re-download data that isn't available due to scheduling quirks or other
failures.
We attempt to download data unless we already have data stored in the cache
for `module_name` whose first entry is before or on `first_date` and whose
last entry is on or after `last_date`.
If we perform a download and the cache criteria are not satisfied, we wait
at least one hour before attempting a redownload. This is determined by
comparing the current time to the result of os.path.getmtime on the cache
path.
"""
loader_module, filename, source = INDEX_MAPPING.get(
symbol, INDEX_MAPPING['SPY'],
)
first_date = max(first_date, loader_module.earliest_possible_date())
data = _load_cached_data(filename, first_date, last_date, now, 'treasury',
environ)
if data is not None:
return data
# If no cached data was found or it was missing any dates then download the
# necessary data.
logger.info('Downloading treasury data for {symbol!r}.', symbol=symbol)
try:
data = loader_module.get_treasury_data(first_date, last_date)
data.to_csv(get_data_filepath(filename, environ))
except (OSError, IOError, HTTPError):
logger.exception('failed to cache treasury data')
if not has_data_for_dates(data, first_date, last_date):
logger.warn("Still don't have expected data after redownload!")
return data
def _load_cached_data(filename, first_date, last_date, now, resource_name,
environ=None):
# Path for the cache.
path = get_data_filepath(filename, environ)
# If the path does not exist, it means the first download has not happened
# yet, so don't try to read from 'path'.
if os.path.exists(path):
try:
data = pd.DataFrame.from_csv(path)
if data.empty:
raise ValueError("File is empty.")
data.index = pd.to_datetime(data.index, infer_datetime_format=True,
errors='coerce').tz_localize('UTC')
if has_data_for_dates(data, first_date, last_date):
return data
# Don't re-download if we've successfully downloaded and written a
# file in the last hour.
last_download_time = last_modified_time(path)
if (now - last_download_time) <= ONE_HOUR:
logger.warn(
"Refusing to download new {resource} data because a "
"download succeeded at {time}.",
resource=resource_name,
time=last_download_time,
)
return data
except (OSError, IOError, ValueError) as e:
# These can all be raised by various versions of pandas on various
# classes of malformed input. Treat them all as cache misses.
logger.info(
"Loading data for {path} failed with error [{error}].",
path=path,
error=e,
)
logger.info(
"Cache at {path} does not have data from {start} to {end}.",
start=first_date,
end=last_date,
path=path,
)
return None
def _load_raw_yahoo_data(indexes=None, stocks=None, start=None, end=None):
"""Load closing prices from yahoo finance.
:Optional:
indexes : dict (Default: {'SPX': '^SPY'})
Financial indexes to load.
stocks : list (Default: ['AAPL', 'GE', 'IBM', 'MSFT',
'XOM', 'AA', 'JNJ', 'PEP', 'KO'])
Stock closing prices to load.
start : datetime (Default: datetime(1993, 1, 1, 0, 0, 0, 0, pytz.utc))
Retrieve prices from start date on.
end : datetime (Default: datetime(2002, 1, 1, 0, 0, 0, 0, pytz.utc))
Retrieve prices until end date.
:Note:
This is based on code presented in a talk by Wes McKinney:
http://wesmckinney.com/files/20111017/notebook_output.pdf
"""
assert indexes is not None or stocks is not None, """
must specify stocks or indexes"""
if start is None:
start = pd.datetime(1990, 1, 1, 0, 0, 0, 0, pytz.utc)
if start is not None and end is not None:
assert start < end, "start date is later than end date."
data = OrderedDict()
if stocks is not None:
for stock in stocks:
logger.info('Loading stock: {}'.format(stock))
stock_pathsafe = stock.replace(os.path.sep, '--')
cache_filename = "{stock}-{start}-{end}.csv".format(
stock=stock_pathsafe,
start=start,
end=end).replace(':', '-')
cache_filepath = get_cache_filepath(cache_filename)
if os.path.exists(cache_filepath):
stkd = pd.DataFrame.from_csv(cache_filepath)
else:
stkd = DataReader(stock, 'yahoo', start, end).sort_index()
stkd.to_csv(cache_filepath)
data[stock] = stkd
if indexes is not None:
for name, ticker in iteritems(indexes):
logger.info('Loading index: {} ({})'.format(name, ticker))
stkd = DataReader(ticker, 'yahoo', start, end).sort_index()
data[name] = stkd
return data
def load_from_yahoo(indexes=None,
stocks=None,
start=None,
end=None,
adjusted=True):
"""
Loads price data from Yahoo into a dataframe for each of the indicated
assets. By default, 'price' is taken from Yahoo's 'Adjusted Close',
which removes the impact of splits and dividends. If the argument
'adjusted' is False, then the non-adjusted 'close' field is used instead.
:param indexes: Financial indexes to load.
:type indexes: dict
:param stocks: Stock closing prices to load.
:type stocks: list
:param start: Retrieve prices from start date on.
:type start: datetime
:param end: Retrieve prices until end date.
:type end: datetime
:param adjusted: Adjust the price for splits and dividends.
:type adjusted: bool
"""
data = _load_raw_yahoo_data(indexes, stocks, start, end)
if adjusted:
close_key = 'Adj Close'
else:
close_key = 'Close'
df = pd.DataFrame({key: d[close_key] for key, d in iteritems(data)})
df.index = df.index.tz_localize(pytz.utc)
return df
@deprecated(
'load_bars_from_yahoo is deprecated, please register a'
' yahoo_equities data bundle instead',
)
def load_bars_from_yahoo(indexes=None,
stocks=None,
start=None,
end=None,
adjusted=True):
"""
Loads data from Yahoo into a panel with the following
column names for each indicated security:
- open
- high
- low
- close
- volume
- price
Note that 'price' is Yahoo's 'Adjusted Close', which removes the
impact of splits and dividends. If the argument 'adjusted' is True, then
the open, high, low, and close values are adjusted as well.
:param indexes: Financial indexes to load.
:type indexes: dict
:param stocks: Stock closing prices to load.
:type stocks: list
:param start: Retrieve prices from start date on.
:type start: datetime
:param end: Retrieve prices until end date.
:type end: datetime
:param adjusted: Adjust open/high/low/close for splits and dividends.
The 'price' field is always adjusted.
:type adjusted: bool
"""
data = _load_raw_yahoo_data(indexes, stocks, start, end)
panel = pd.Panel(data)
# Rename columns
panel.minor_axis = ['open', 'high', 'low', 'close', 'volume', 'price']
panel.major_axis = panel.major_axis.tz_localize(pytz.utc)
# Adjust data
if adjusted:
adj_cols = ['open', 'high', 'low', 'close']
for ticker in panel.items:
ratio = (panel[ticker]['price'] / panel[ticker]['close'])
ratio_filtered = ratio.fillna(0).values
for col in adj_cols:
panel[ticker][col] *= ratio_filtered
return panel
def load_prices_from_csv(filepath, identifier_col, tz='UTC'):
data = pd.read_csv(filepath, index_col=identifier_col)
data.index = pd.DatetimeIndex(data.index, tz=tz)
data.sort_index(inplace=True)
return data
def load_prices_from_csv_folder(folderpath, identifier_col, tz='UTC'):
data = None
for file in os.listdir(folderpath):
if '.csv' not in file:
continue
raw = load_prices_from_csv(os.path.join(folderpath, file),
identifier_col, tz)
if data is None:
data = raw
else:
data = pd.concat([data, raw], axis=1)
return data
catalyst/data/minute_bars.py
-1361
View File
File diff suppressed because it is too large Load Diff
catalyst/data/resample.py
-735
View File
@@ -1,735 +0,0 @@
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from collections import OrderedDict
from abc import ABCMeta, abstractmethod
import numpy as np
import pandas as pd
from six import with_metaclass
from catalyst.data._resample import (
_minute_to_session_open,
_minute_to_session_high,
_minute_to_session_low,
_minute_to_session_close,
_minute_to_session_volume,
)
from catalyst.data.bar_reader import NoDataOnDate
from catalyst.data.minute_bars import MinuteBarReader
from catalyst.data.session_bars import SessionBarReader
from catalyst.utils.memoize import lazyval
_MINUTE_TO_SESSION_OHCLV_HOW = OrderedDict((
('open', 'first'),
('high', 'max'),
('low', 'min'),
('close', 'last'),
('volume', 'sum'),
))
def minute_frame_to_session_frame(minute_frame, calendar):
"""
Resample a DataFrame with minute data into the frame expected by a
BcolzDailyBarWriter.
Parameters
----------
minute_frame : pd.DataFrame
A DataFrame with the columns `open`, `high`, `low`, `close`, `volume`,
and `dt` (minute dts)
calendar : catalyst.utils.calendars.trading_calendar.TradingCalendar
A TradingCalendar on which session labels to resample from minute
to session.
Return
------
session_frame : pd.DataFrame
A DataFrame with the columns `open`, `high`, `low`, `close`, `volume`,
and `day` (datetime-like).
"""
how = OrderedDict((c, _MINUTE_TO_SESSION_OHCLV_HOW[c])
for c in minute_frame.columns)
return minute_frame.groupby(calendar.minute_to_session_label).agg(how)
def minute_to_session(column, close_locs, data, out):
"""
Resample an array with minute data into an array with session data.
This function assumes that the minute data is the exact length of all
minutes in the sessions in the output.
Parameters
----------
column : str
The `open`, `high`, `low`, `close`, or `volume` column.
close_locs : array[intp]
The locations in `data` which are the market close minutes.
data : array[float64|uint32]
The minute data to be sampled into session data.
The first value should align with the market open of the first session,
containing values for all minutes for all sessions. With the last value
being the market close of the last session.
out : array[float64|uint32]
The output array into which to write the sampled sessions.
"""
if column == 'open':
_minute_to_session_open(close_locs, data, out)
elif column == 'high':
_minute_to_session_high(close_locs, data, out)
elif column == 'low':
_minute_to_session_low(close_locs, data, out)
elif column == 'close':
_minute_to_session_close(close_locs, data, out)
elif column == 'volume':
_minute_to_session_volume(close_locs, data, out)
return out
class DailyHistoryAggregator(object):
"""
Converts minute pricing data into a daily summary, to be used for the
last slot in a call to history with a frequency of `1d`.
This summary is the same as a daily bar rollup of minute data, with the
distinction that the summary is truncated to the `dt` requested.
i.e. the aggregation slides forward during a the course of simulation day.
Provides aggregation for `open`, `high`, `low`, `close`, and `volume`.
The aggregation rules for each price type is documented in their respective
"""
def __init__(self, market_opens, minute_reader, trading_calendar):
self._market_opens = market_opens
self._minute_reader = minute_reader
self._trading_calendar = trading_calendar
# The caches are structured as (date, market_open, entries), where
# entries is a dict of asset -> (last_visited_dt, value)
#
# Whenever an aggregation method determines the current value,
# the entry for the respective asset should be overwritten with a new
# entry for the current dt.value (int) and aggregation value.
#
# When the requested dt's date is different from date the cache is
# flushed, so that the cache entries do not grow unbounded.
#
# Example cache:
# cache = (date(2016, 3, 17),
# pd.Timestamp('2016-03-17 13:31', tz='UTC'),
# {
# 1: (1458221460000000000, np.nan),
# 2: (1458221460000000000, 42.0),
# })
self._caches = {
'open': None,
'high': None,
'low': None,
'close': None,
'volume': None
}
# The int value is used for deltas to avoid extra computation from
# creating new Timestamps.
self._one_min = pd.Timedelta('1 min').value
def _prelude(self, dt, field):
session = self._trading_calendar.minute_to_session_label(dt)
dt_value = dt.value
cache = self._caches[field]
if cache is None or cache[0] != session:
market_open = self._market_opens.loc[session]
cache = self._caches[field] = (session, market_open, {})
_, market_open, entries = cache
try:
market_open = market_open.tz_localize('UTC')
except TypeError:
market_open = market_open.tz_convert('UTC')
if dt != market_open:
prev_dt = dt_value - self._one_min
else:
prev_dt = None
return market_open, prev_dt, dt_value, entries
def opens(self, assets, dt):
"""
The open field's aggregation returns the first value that occurs
for the day, if there has been no data on or before the `dt` the open
is `nan`.
Once the first non-nan open is seen, that value remains constant per
asset for the remainder of the day.
Returns
-------
np.array with dtype=float64, in order of assets parameter.
"""
market_open, prev_dt, dt_value, entries = self._prelude(dt, 'open')
opens = []
session_label = self._trading_calendar.minute_to_session_label(dt)
for asset in assets:
if not asset.is_alive_for_session(session_label):
opens.append(np.NaN)
continue
if prev_dt is None:
val = self._minute_reader.get_value(asset, dt, 'open')
entries[asset] = (dt_value, val)
opens.append(val)
continue
else:
try:
last_visited_dt, first_open = entries[asset]
if last_visited_dt == dt_value:
opens.append(first_open)
continue
elif not pd.isnull(first_open):
opens.append(first_open)
entries[asset] = (dt_value, first_open)
continue
else:
after_last = pd.Timestamp(
last_visited_dt + self._one_min, tz='UTC')
window = self._minute_reader.load_raw_arrays(
['open'],
after_last,
dt,
[asset],
)[0]
nonnan = window[~pd.isnull(window)]
if len(nonnan):
val = nonnan[0]
else:
val = np.nan
entries[asset] = (dt_value, val)
opens.append(val)
continue
except KeyError:
window = self._minute_reader.load_raw_arrays(
['open'],
market_open,
dt,
[asset],
)[0]
nonnan = window[~pd.isnull(window)]
if len(nonnan):
val = nonnan[0]
else:
val = np.nan
entries[asset] = (dt_value, val)
opens.append(val)
continue
return np.array(opens)
def highs(self, assets, dt):
"""
The high field's aggregation returns the largest high seen between
the market open and the current dt.
If there has been no data on or before the `dt` the high is `nan`.
Returns
-------
np.array with dtype=float64, in order of assets parameter.
"""
market_open, prev_dt, dt_value, entries = self._prelude(dt, 'high')
highs = []
session_label = self._trading_calendar.minute_to_session_label(dt)
for asset in assets:
if not asset.is_alive_for_session(session_label):
highs.append(np.NaN)
continue
if prev_dt is None:
val = self._minute_reader.get_value(asset, dt, 'high')
entries[asset] = (dt_value, val)
highs.append(val)
continue
else:
try:
last_visited_dt, last_max = entries[asset]
if last_visited_dt == dt_value:
highs.append(last_max)
continue
elif last_visited_dt == prev_dt:
curr_val = self._minute_reader.get_value(
asset, dt, 'high')
if pd.isnull(curr_val):
val = last_max
elif pd.isnull(last_max):
val = curr_val
else:
val = max(last_max, curr_val)
entries[asset] = (dt_value, val)
highs.append(val)
continue
else:
after_last = pd.Timestamp(
last_visited_dt + self._one_min, tz='UTC')
window = self._minute_reader.load_raw_arrays(
['high'],
after_last,
dt,
[asset],
)[0].T
val = np.nanmax(np.append(window, last_max))
entries[asset] = (dt_value, val)
highs.append(val)
continue
except KeyError:
window = self._minute_reader.load_raw_arrays(
['high'],
market_open,
dt,
[asset],
)[0].T
val = np.nanmax(window)
entries[asset] = (dt_value, val)
highs.append(val)
continue
return np.array(highs)
def lows(self, assets, dt):
"""
The low field's aggregation returns the smallest low seen between
the market open and the current dt.
If there has been no data on or before the `dt` the low is `nan`.
Returns
-------
np.array with dtype=float64, in order of assets parameter.
"""
market_open, prev_dt, dt_value, entries = self._prelude(dt, 'low')
lows = []
session_label = self._trading_calendar.minute_to_session_label(dt)
for asset in assets:
if not asset.is_alive_for_session(session_label):
lows.append(np.NaN)
continue
if prev_dt is None:
val = self._minute_reader.get_value(asset, dt, 'low')
entries[asset] = (dt_value, val)
lows.append(val)
continue
else:
try:
last_visited_dt, last_min = entries[asset]
if last_visited_dt == dt_value:
lows.append(last_min)
continue
elif last_visited_dt == prev_dt:
curr_val = self._minute_reader.get_value(
asset, dt, 'low')
val = np.nanmin([last_min, curr_val])
entries[asset] = (dt_value, val)
lows.append(val)
continue
else:
after_last = pd.Timestamp(
last_visited_dt + self._one_min, tz='UTC')
window = self._minute_reader.load_raw_arrays(
['low'],
after_last,
dt,
[asset],
)[0].T
val = np.nanmin(np.append(window, last_min))
entries[asset] = (dt_value, val)
lows.append(val)
continue
except KeyError:
window = self._minute_reader.load_raw_arrays(
['low'],
market_open,
dt,
[asset],
)[0].T
val = np.nanmin(window)
entries[asset] = (dt_value, val)
lows.append(val)
continue
return np.array(lows)
def closes(self, assets, dt):
"""
The close field's aggregation returns the latest close at the given
dt.
If the close for the given dt is `nan`, the most recent non-nan
`close` is used.
If there has been no data on or before the `dt` the close is `nan`.
Returns
-------
np.array with dtype=float64, in order of assets parameter.
"""
market_open, prev_dt, dt_value, entries = self._prelude(dt, 'close')
closes = []
session_label = self._trading_calendar.minute_to_session_label(dt)
def _get_filled_close(asset):
"""
Returns the most recent non-nan close for the asset in this
session. If there has been no data in this session on or before the
`dt`, returns `nan`
"""
window = self._minute_reader.load_raw_arrays(
['close'],
market_open,
dt,
[asset],
)[0]
try:
return window[~np.isnan(window)][-1]
except IndexError:
return np.NaN
for asset in assets:
if not asset.is_alive_for_session(session_label):
closes.append(np.NaN)
continue
if prev_dt is None:
val = self._minute_reader.get_value(asset, dt, 'close')
entries[asset] = (dt_value, val)
closes.append(val)
continue
else:
try:
last_visited_dt, last_close = entries[asset]
if last_visited_dt == dt_value:
closes.append(last_close)
continue
elif last_visited_dt == prev_dt:
val = self._minute_reader.get_value(
asset, dt, 'close')
if pd.isnull(val):
val = last_close
entries[asset] = (dt_value, val)
closes.append(val)
continue
else:
val = self._minute_reader.get_value(
asset, dt, 'close')
if pd.isnull(val):
val = _get_filled_close(asset)
entries[asset] = (dt_value, val)
closes.append(val)
continue
except KeyError:
val = self._minute_reader.get_value(
asset, dt, 'close')
if pd.isnull(val):
val = _get_filled_close(asset)
entries[asset] = (dt_value, val)
closes.append(val)
continue
return np.array(closes)
def volumes(self, assets, dt):
"""
The volume field's aggregation returns the sum of all volumes
between the market open and the `dt`
If there has been no data on or before the `dt` the volume is 0.
Returns
-------
np.array with dtype=int64, in order of assets parameter.
"""
market_open, prev_dt, dt_value, entries = self._prelude(dt, 'volume')
volumes = []
session_label = self._trading_calendar.minute_to_session_label(dt)
for asset in assets:
if not asset.is_alive_for_session(session_label):
volumes.append(0)
continue
if prev_dt is None:
val = self._minute_reader.get_value(asset, dt, 'volume')
entries[asset] = (dt_value, val)
volumes.append(val)
continue
else:
try:
last_visited_dt, last_total = entries[asset]
if last_visited_dt == dt_value:
volumes.append(last_total)
continue
elif last_visited_dt == prev_dt:
val = self._minute_reader.get_value(
asset, dt, 'volume')
val += last_total
entries[asset] = (dt_value, val)
volumes.append(val)
continue
else:
after_last = pd.Timestamp(
last_visited_dt + self._one_min, tz='UTC')
window = self._minute_reader.load_raw_arrays(
['volume'],
after_last,
dt,
[asset],
)[0]
val = np.nansum(window) + last_total
entries[asset] = (dt_value, val)
volumes.append(val)
continue
except KeyError:
window = self._minute_reader.load_raw_arrays(
['volume'],
market_open,
dt,
[asset],
)[0]
val = np.nansum(window)
entries[asset] = (dt_value, val)
volumes.append(val)
continue
return np.array(volumes)
class MinuteResampleSessionBarReader(SessionBarReader):
def __init__(self, calendar, minute_bar_reader):
self._calendar = calendar
self._minute_bar_reader = minute_bar_reader
def _get_resampled(self, columns, start_session, end_session, assets):
range_open = self._calendar.session_open(start_session)
range_close = self._calendar.session_close(end_session)
minute_data = self._minute_bar_reader.load_raw_arrays(
columns,
range_open,
range_close,
assets,
)
# Get the index of the close minute for each session in the range.
# If the range contains only one session, the only close in the range
# is the last minute in the data. Otherwise, we need to get all the
# session closes and find their indices in the range of minutes.
if start_session == end_session:
close_ilocs = np.array([len(minute_data[0]) - 1], dtype=np.int64)
else:
minutes = self._calendar.minutes_in_range(
range_open,
range_close,
)
session_closes = self._calendar.session_closes_in_range(
start_session,
end_session,
)
close_ilocs = minutes.searchsorted(session_closes.values)
results = []
shape = (len(close_ilocs), len(assets))
for col in columns:
if col != 'volume':
out = np.full(shape, np.nan)
else:
out = np.zeros(shape, dtype=np.uint32)
results.append(out)
for i in range(len(assets)):
for j, column in enumerate(columns):
data = minute_data[j][:, i]
minute_to_session(column, close_ilocs, data, results[j][:, i])
return results
@property
def trading_calendar(self):
return self._calendar
def load_raw_arrays(self, columns, start_dt, end_dt, sids):
return self._get_resampled(columns, start_dt, end_dt, sids)
def get_value(self, sid, session, colname):
# WARNING: This will need caching or other optimization if used in a
# tight loop.
# This was developed to complete interface, but has not been tuned
# for real world use.
return self._get_resampled([colname], session, session, [sid])[0][0][0]
@lazyval
def sessions(self):
cal = self._calendar
first = self._minute_bar_reader.first_trading_day
last = cal.minute_to_session_label(
self._minute_bar_reader.last_available_dt)
return cal.sessions_in_range(first, last)
@lazyval
def last_available_dt(self):
return self.trading_calendar.minute_to_session_label(
self._minute_bar_reader.last_available_dt
)
@property
def first_trading_day(self):
return self._minute_bar_reader.first_trading_day
def get_last_traded_dt(self, asset, dt):
return self.trading_calendar.minute_to_session_label(
self._minute_bar_reader.get_last_traded_dt(asset, dt))
class ReindexBarReader(with_metaclass(ABCMeta)):
"""
A base class for readers which reindexes results, filling in the additional
indices with empty data.
Used to align the reading assets which trade on different calendars.
Currently only supports a ``trading_calendar`` which is a superset of the
``reader``'s calendar.
Parameters
----------
- trading_calendar : catalyst.utils.trading_calendar.TradingCalendar
The calendar to use when indexing results from the reader.
- reader : MinuteBarReader|SessionBarReader
The reader which has a calendar that is a subset of the desired
``trading_calendar``.
- first_trading_session : pd.Timestamp
The first trading session the reader should provide. Must be specified,
since the ``reader``'s first session may not exactly align with the
desired calendar. Specifically, in the case where the first session
on the target calendar is a holiday on the ``reader``'s calendar.
- last_trading_session : pd.Timestamp
The last trading session the reader should provide. Must be specified,
since the ``reader``'s last session may not exactly align with the
desired calendar. Specifically, in the case where the last session
on the target calendar is a holiday on the ``reader``'s calendar.
"""
def __init__(self,
trading_calendar,
reader,
first_trading_session,
last_trading_session):
self._trading_calendar = trading_calendar
self._reader = reader
self._first_trading_session = first_trading_session
self._last_trading_session = last_trading_session
@property
def last_available_dt(self):
return self._reader.last_available_dt
def get_last_traded_dt(self, sid, dt):
return self._reader.get_last_traded_dt(sid, dt)
@property
def first_trading_day(self):
return self._reader.first_trading_day
def get_value(self, sid, dt, field):
# Give an empty result if no data is present.
try:
return self._reader.get_value(sid, dt, field)
except NoDataOnDate:
if field == 'volume':
return 0
else:
return np.nan
@abstractmethod
def _outer_dts(self, start_dt, end_dt):
raise NotImplementedError
@abstractmethod
def _inner_dts(self, start_dt, end_dt):
raise NotImplementedError
@property
def trading_calendar(self):
return self._trading_calendar
@lazyval
def sessions(self):
return self.trading_calendar.sessions_in_range(
self._first_trading_session,
self._last_trading_session
)
def load_raw_arrays(self, fields, start_dt, end_dt, sids):
outer_dts = self._outer_dts(start_dt, end_dt)
inner_dts = self._inner_dts(start_dt, end_dt)
indices = outer_dts.searchsorted(inner_dts)
shape = len(outer_dts), len(sids)
outer_results = []
if len(inner_dts) > 0:
inner_results = self._reader.load_raw_arrays(
fields, inner_dts[0], inner_dts[-1], sids)
else:
inner_results = None
for i, field in enumerate(fields):
if field != 'volume':
out = np.full(shape, np.nan)
else:
out = np.zeros(shape, dtype=np.uint32)
if inner_results is not None:
out[indices] = inner_results[i]
outer_results.append(out)
return outer_results
class ReindexMinuteBarReader(ReindexBarReader, MinuteBarReader):
"""
See: ``ReindexBarReader``
"""
def _outer_dts(self, start_dt, end_dt):
return self._trading_calendar.minutes_in_range(start_dt, end_dt)
def _inner_dts(self, start_dt, end_dt):
return self._reader.calendar.minutes_in_range(start_dt, end_dt)
class ReindexSessionBarReader(ReindexBarReader, SessionBarReader):
"""
See: ``ReindexBarReader``
"""
def _outer_dts(self, start_dt, end_dt):
return self.trading_calendar.sessions_in_range(start_dt, end_dt)
def _inner_dts(self, start_dt, end_dt):
return self._reader.trading_calendar.sessions_in_range(
start_dt, end_dt)
catalyst/data/session_bars.py
-36
View File
@@ -1,36 +0,0 @@
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import abstractproperty
from catalyst.data.bar_reader import BarReader
class SessionBarReader(BarReader):
"""
Reader for OHCLV pricing data at a session frequency.
"""
@property
def data_frequency(self):
return 'session'
@abstractproperty
def sessions(self):
"""
Returns
-------
sessions : DatetimeIndex
All session labels (unionining the range for all assets) which the
reader can provide.
"""
pass
catalyst/data/treasuries.py
-101
View File
@@ -1,101 +0,0 @@
#
# Copyright 2013 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from operator import itemgetter
import re
import numpy as np
import pandas as pd
get_unit_and_periods = itemgetter('unit', 'periods')
def parse_treasury_csv_column(column):
"""
Parse a treasury CSV column into a more human-readable format.
Columns start with 'RIFLGFC', followed by Y or M (year or month), followed
by a two-digit number signifying number of years/months, followed by _N.B.
We only care about the middle two entries, which we turn into a string like
3month or 30year.
"""
column_re = re.compile(
r"^(?P<prefix>RIFLGFC)"
"(?P<unit>[YM])"
"(?P<periods>[0-9]{2})"
"(?P<suffix>_N.B)$"
)
match = column_re.match(column)
if match is None:
raise ValueError("Couldn't parse CSV column %r." % column)
unit, periods = get_unit_and_periods(match.groupdict())
# Roundtrip through int to coerce '06' into '6'.
return str(int(periods)) + ('year' if unit == 'Y' else 'month')
def earliest_possible_date():
"""
The earliest date for which we can load data from this module.
"""
# The US Treasury actually has data going back further than this, but it's
# pretty rare to find pricing data going back that far, and there's no
# reason to make people download benchmarks back to 1950 that they'll never
# be able to use.
return pd.Timestamp('1980', tz='UTC')
def get_treasury_data(start_date, end_date):
return pd.read_csv(
"https://www.federalreserve.gov/datadownload/Output.aspx"
"?rel=H15"
"&series=bf17364827e38702b42a58cf8eaa3f78"
"&lastObs="
"&from=" # An unbounded query is ~2x faster than specifying dates.
"&to="
"&filetype=csv"
"&label=include"
"&layout=seriescolumn"
"&type=package",
skiprows=5, # First 5 rows are useless headers.
parse_dates=['Time Period'],
na_values=['ND'], # Presumably this stands for "No Data".
index_col=0,
).loc[
start_date:end_date
].dropna(
how='all'
).rename(
columns=parse_treasury_csv_column
).tz_localize('UTC') * 0.01 # Convert from 2.57% to 0.0257.
def dataconverter(s):
try:
return float(s) / 100
except:
return np.nan
def get_daily_10yr_treasury_data():
"""Download daily 10 year treasury rates from the Federal Reserve and
return a pandas.Series."""
url = "https://www.federalreserve.gov/datadownload/Output.aspx?rel=H15" \
"&series=bcb44e57fb57efbe90002369321bfb3f&lastObs=&from=&to=" \
"&filetype=csv&label=include&layout=seriescolumn"
return pd.read_csv(url, header=5, index_col=0, names=['DATE', 'BC_10YEAR'],
parse_dates=True, converters={1: dataconverter},
squeeze=True)
catalyst/data/treasuries_can.py
-150
View File
@@ -1,150 +0,0 @@
#
# Copyright 2013 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pandas as pd
import six
from toolz import curry
from toolz.curried.operator import add as prepend
COLUMN_NAMES = {
"V39063": '1month',
"V39065": '3month',
"V39066": '6month',
"V39067": '1year',
"V39051": '2year',
"V39052": '3year',
"V39053": '5year',
"V39054": '7year',
"V39055": '10year',
# Bank of Canada refers to this as 'Long' Rate, approximately 30 years.
"V39056": '30year',
}
BILL_IDS = ['V39063', 'V39065', 'V39066', 'V39067']
BOND_IDS = ['V39051', 'V39052', 'V39053', 'V39054', 'V39055', 'V39056']
@curry
def _format_url(instrument_type,
instrument_ids,
start_date,
end_date,
earliest_allowed_date):
"""
Format a URL for loading data from Bank of Canada.
"""
return (
"http://www.bankofcanada.ca/stats/results/csv"
"?lP=lookup_{instrument_type}_yields.php"
"&sR={restrict}"
"&se={instrument_ids}"
"&dF={start}"
"&dT={end}".format(
instrument_type=instrument_type,
instrument_ids='-'.join(map(prepend("L_"), instrument_ids)),
restrict=earliest_allowed_date.strftime("%Y-%m-%d"),
start=start_date.strftime("%Y-%m-%d"),
end=end_date.strftime("%Y-%m-%d"),
)
)
format_bill_url = _format_url('tbill', BILL_IDS)
format_bond_url = _format_url('bond', BOND_IDS)
def load_frame(url, skiprows):
"""
Load a DataFrame of data from a Bank of Canada site.
"""
return pd.read_csv(
url,
skiprows=skiprows,
skipinitialspace=True,
na_values=["Bank holiday", "Not available"],
parse_dates=["Date"],
index_col="Date",
).dropna(how='all') \
.tz_localize('UTC') \
.rename(columns=COLUMN_NAMES)
def check_known_inconsistencies(bill_data, bond_data):
"""
There are a couple quirks in the data provided by Bank of Canada.
Check that no new quirks have been introduced in the latest download.
"""
inconsistent_dates = bill_data.index.sym_diff(bond_data.index)
known_inconsistencies = [
# bill_data has an entry for 2010-02-15, which bond_data doesn't.
# bond_data has an entry for 2006-09-04, which bill_data doesn't.
# Both of these dates are bank holidays (Flag Day and Labor Day,
# respectively).
pd.Timestamp('2006-09-04', tz='UTC'),
pd.Timestamp('2010-02-15', tz='UTC'),
# 2013-07-25 comes back as "Not available" from the bills endpoint.
# This date doesn't seem to be a bank holiday, but the previous
# calendar implementation dropped this entry, so we drop it as well.
# If someone cares deeply about the integrity of the Canadian trading
# calendar, they may want to consider forward-filling here rather than
# dropping the row.
pd.Timestamp('2013-07-25', tz='UTC'),
]
unexpected_inconsistences = inconsistent_dates.drop(known_inconsistencies)
if len(unexpected_inconsistences):
in_bills = bill_data.index.difference(bond_data.index).difference(
known_inconsistencies
)
in_bonds = bond_data.index.difference(bill_data.index).difference(
known_inconsistencies
)
raise ValueError(
"Inconsistent dates for Canadian treasury bills vs bonds. \n"
"Dates with bills but not bonds: {in_bills}.\n"
"Dates with bonds but not bills: {in_bonds}.".format(
in_bills=in_bills,
in_bonds=in_bonds,
)
)
def earliest_possible_date():
"""
The earliest date for which we can load data from this module.
"""
today = pd.Timestamp('now', tz='UTC').normalize()
# Bank of Canada only has the last 10 years of data at any given time.
return today.replace(year=today.year - 10)
def get_treasury_data(start_date, end_date):
bill_data = load_frame(
format_bill_url(start_date, end_date, start_date),
# We skip fewer rows here because we query for fewer bill fields,
# which makes the header smaller.
skiprows=18,
)
bond_data = load_frame(
format_bond_url(start_date, end_date, start_date),
skiprows=22,
)
check_known_inconsistencies(bill_data, bond_data)
# dropna('any') removes the rows for which we only had data for one of
# bills/bonds.
out = pd.concat([bond_data, bill_data], axis=1).dropna(how='any')
assert set(out.columns) == set(six.itervalues(COLUMN_NAMES))
# Multiply by 0.01 to convert from percentages to expected output format.
return out * 0.01
catalyst/data/us_equity_pricing.py
-1427
View File
File diff suppressed because it is too large Load Diff

Some files were not shown because too many files have changed in this diff Show More