Fixed database typo and removed unnecessary class identifier.

This commit is contained in:
Batuhan Berk Başoğlu 2020-10-14 10:10:37 -04:00
parent 00ad49a143
commit 45fb349a7d
5098 changed files with 952558 additions and 85 deletions

View file

@ -0,0 +1 @@
pip

View file

@ -0,0 +1,99 @@
License agreement for matplotlib versions 1.3.0 and later
=========================================================
1. This LICENSE AGREEMENT is between the Matplotlib Development Team
("MDT"), and the Individual or Organization ("Licensee") accessing and
otherwise using matplotlib software in source or binary form and its
associated documentation.
2. Subject to the terms and conditions of this License Agreement, MDT
hereby grants Licensee a nonexclusive, royalty-free, world-wide license
to reproduce, analyze, test, perform and/or display publicly, prepare
derivative works, distribute, and otherwise use matplotlib
alone or in any derivative version, provided, however, that MDT's
License Agreement and MDT's notice of copyright, i.e., "Copyright (c)
2012- Matplotlib Development Team; All Rights Reserved" are retained in
matplotlib alone or in any derivative version prepared by
Licensee.
3. In the event Licensee prepares a derivative work that is based on or
incorporates matplotlib or any part thereof, and wants to
make the derivative work available to others as provided herein, then
Licensee hereby agrees to include in any such work a brief summary of
the changes made to matplotlib .
4. MDT is making matplotlib available to Licensee on an "AS
IS" basis. MDT MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, MDT MAKES NO AND
DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB
WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
5. MDT SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
THE POSSIBILITY THEREOF.
6. This License Agreement will automatically terminate upon a material
breach of its terms and conditions.
7. Nothing in this License Agreement shall be deemed to create any
relationship of agency, partnership, or joint venture between MDT and
Licensee. This License Agreement does not grant permission to use MDT
trademarks or trade name in a trademark sense to endorse or promote
products or services of Licensee, or any third party.
8. By copying, installing or otherwise using matplotlib ,
Licensee agrees to be bound by the terms and conditions of this License
Agreement.
License agreement for matplotlib versions prior to 1.3.0
========================================================
1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
Individual or Organization ("Licensee") accessing and otherwise using
matplotlib software in source or binary form and its associated
documentation.
2. Subject to the terms and conditions of this License Agreement, JDH
hereby grants Licensee a nonexclusive, royalty-free, world-wide license
to reproduce, analyze, test, perform and/or display publicly, prepare
derivative works, distribute, and otherwise use matplotlib
alone or in any derivative version, provided, however, that JDH's
License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
2002-2011 John D. Hunter; All Rights Reserved" are retained in
matplotlib alone or in any derivative version prepared by
Licensee.
3. In the event Licensee prepares a derivative work that is based on or
incorporates matplotlib or any part thereof, and wants to
make the derivative work available to others as provided herein, then
Licensee hereby agrees to include in any such work a brief summary of
the changes made to matplotlib.
4. JDH is making matplotlib available to Licensee on an "AS
IS" basis. JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB
WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
THE POSSIBILITY THEREOF.
6. This License Agreement will automatically terminate upon a material
breach of its terms and conditions.
7. Nothing in this License Agreement shall be deemed to create any
relationship of agency, partnership, or joint venture between JDH and
Licensee. This License Agreement does not grant permission to use JDH
trademarks or trade name in a trademark sense to endorse or promote
products or services of Licensee, or any third party.
8. By copying, installing or otherwise using matplotlib,
Licensee agrees to be bound by the terms and conditions of this License
Agreement.

View file

@ -0,0 +1,240 @@
The cmr10.pfb file is a Type-1 version of one of Knuth's Computer Modern fonts.
It is included here as test data only, but the following license applies.
Copyright (c) 1997, 2009, American Mathematical Society (http://www.ams.org).
All Rights Reserved.
"cmb10" is a Reserved Font Name for this Font Software.
"cmbsy10" is a Reserved Font Name for this Font Software.
"cmbsy5" is a Reserved Font Name for this Font Software.
"cmbsy6" is a Reserved Font Name for this Font Software.
"cmbsy7" is a Reserved Font Name for this Font Software.
"cmbsy8" is a Reserved Font Name for this Font Software.
"cmbsy9" is a Reserved Font Name for this Font Software.
"cmbx10" is a Reserved Font Name for this Font Software.
"cmbx12" is a Reserved Font Name for this Font Software.
"cmbx5" is a Reserved Font Name for this Font Software.
"cmbx6" is a Reserved Font Name for this Font Software.
"cmbx7" is a Reserved Font Name for this Font Software.
"cmbx8" is a Reserved Font Name for this Font Software.
"cmbx9" is a Reserved Font Name for this Font Software.
"cmbxsl10" is a Reserved Font Name for this Font Software.
"cmbxti10" is a Reserved Font Name for this Font Software.
"cmcsc10" is a Reserved Font Name for this Font Software.
"cmcsc8" is a Reserved Font Name for this Font Software.
"cmcsc9" is a Reserved Font Name for this Font Software.
"cmdunh10" is a Reserved Font Name for this Font Software.
"cmex10" is a Reserved Font Name for this Font Software.
"cmex7" is a Reserved Font Name for this Font Software.
"cmex8" is a Reserved Font Name for this Font Software.
"cmex9" is a Reserved Font Name for this Font Software.
"cmff10" is a Reserved Font Name for this Font Software.
"cmfi10" is a Reserved Font Name for this Font Software.
"cmfib8" is a Reserved Font Name for this Font Software.
"cminch" is a Reserved Font Name for this Font Software.
"cmitt10" is a Reserved Font Name for this Font Software.
"cmmi10" is a Reserved Font Name for this Font Software.
"cmmi12" is a Reserved Font Name for this Font Software.
"cmmi5" is a Reserved Font Name for this Font Software.
"cmmi6" is a Reserved Font Name for this Font Software.
"cmmi7" is a Reserved Font Name for this Font Software.
"cmmi8" is a Reserved Font Name for this Font Software.
"cmmi9" is a Reserved Font Name for this Font Software.
"cmmib10" is a Reserved Font Name for this Font Software.
"cmmib5" is a Reserved Font Name for this Font Software.
"cmmib6" is a Reserved Font Name for this Font Software.
"cmmib7" is a Reserved Font Name for this Font Software.
"cmmib8" is a Reserved Font Name for this Font Software.
"cmmib9" is a Reserved Font Name for this Font Software.
"cmr10" is a Reserved Font Name for this Font Software.
"cmr12" is a Reserved Font Name for this Font Software.
"cmr17" is a Reserved Font Name for this Font Software.
"cmr5" is a Reserved Font Name for this Font Software.
"cmr6" is a Reserved Font Name for this Font Software.
"cmr7" is a Reserved Font Name for this Font Software.
"cmr8" is a Reserved Font Name for this Font Software.
"cmr9" is a Reserved Font Name for this Font Software.
"cmsl10" is a Reserved Font Name for this Font Software.
"cmsl12" is a Reserved Font Name for this Font Software.
"cmsl8" is a Reserved Font Name for this Font Software.
"cmsl9" is a Reserved Font Name for this Font Software.
"cmsltt10" is a Reserved Font Name for this Font Software.
"cmss10" is a Reserved Font Name for this Font Software.
"cmss12" is a Reserved Font Name for this Font Software.
"cmss17" is a Reserved Font Name for this Font Software.
"cmss8" is a Reserved Font Name for this Font Software.
"cmss9" is a Reserved Font Name for this Font Software.
"cmssbx10" is a Reserved Font Name for this Font Software.
"cmssdc10" is a Reserved Font Name for this Font Software.
"cmssi10" is a Reserved Font Name for this Font Software.
"cmssi12" is a Reserved Font Name for this Font Software.
"cmssi17" is a Reserved Font Name for this Font Software.
"cmssi8" is a Reserved Font Name for this Font Software.
"cmssi9" is a Reserved Font Name for this Font Software.
"cmssq8" is a Reserved Font Name for this Font Software.
"cmssqi8" is a Reserved Font Name for this Font Software.
"cmsy10" is a Reserved Font Name for this Font Software.
"cmsy5" is a Reserved Font Name for this Font Software.
"cmsy6" is a Reserved Font Name for this Font Software.
"cmsy7" is a Reserved Font Name for this Font Software.
"cmsy8" is a Reserved Font Name for this Font Software.
"cmsy9" is a Reserved Font Name for this Font Software.
"cmtcsc10" is a Reserved Font Name for this Font Software.
"cmtex10" is a Reserved Font Name for this Font Software.
"cmtex8" is a Reserved Font Name for this Font Software.
"cmtex9" is a Reserved Font Name for this Font Software.
"cmti10" is a Reserved Font Name for this Font Software.
"cmti12" is a Reserved Font Name for this Font Software.
"cmti7" is a Reserved Font Name for this Font Software.
"cmti8" is a Reserved Font Name for this Font Software.
"cmti9" is a Reserved Font Name for this Font Software.
"cmtt10" is a Reserved Font Name for this Font Software.
"cmtt12" is a Reserved Font Name for this Font Software.
"cmtt8" is a Reserved Font Name for this Font Software.
"cmtt9" is a Reserved Font Name for this Font Software.
"cmu10" is a Reserved Font Name for this Font Software.
"cmvtt10" is a Reserved Font Name for this Font Software.
"euex10" is a Reserved Font Name for this Font Software.
"euex7" is a Reserved Font Name for this Font Software.
"euex8" is a Reserved Font Name for this Font Software.
"euex9" is a Reserved Font Name for this Font Software.
"eufb10" is a Reserved Font Name for this Font Software.
"eufb5" is a Reserved Font Name for this Font Software.
"eufb7" is a Reserved Font Name for this Font Software.
"eufm10" is a Reserved Font Name for this Font Software.
"eufm5" is a Reserved Font Name for this Font Software.
"eufm7" is a Reserved Font Name for this Font Software.
"eurb10" is a Reserved Font Name for this Font Software.
"eurb5" is a Reserved Font Name for this Font Software.
"eurb7" is a Reserved Font Name for this Font Software.
"eurm10" is a Reserved Font Name for this Font Software.
"eurm5" is a Reserved Font Name for this Font Software.
"eurm7" is a Reserved Font Name for this Font Software.
"eusb10" is a Reserved Font Name for this Font Software.
"eusb5" is a Reserved Font Name for this Font Software.
"eusb7" is a Reserved Font Name for this Font Software.
"eusm10" is a Reserved Font Name for this Font Software.
"eusm5" is a Reserved Font Name for this Font Software.
"eusm7" is a Reserved Font Name for this Font Software.
"lasy10" is a Reserved Font Name for this Font Software.
"lasy5" is a Reserved Font Name for this Font Software.
"lasy6" is a Reserved Font Name for this Font Software.
"lasy7" is a Reserved Font Name for this Font Software.
"lasy8" is a Reserved Font Name for this Font Software.
"lasy9" is a Reserved Font Name for this Font Software.
"lasyb10" is a Reserved Font Name for this Font Software.
"lcircle1" is a Reserved Font Name for this Font Software.
"lcirclew" is a Reserved Font Name for this Font Software.
"lcmss8" is a Reserved Font Name for this Font Software.
"lcmssb8" is a Reserved Font Name for this Font Software.
"lcmssi8" is a Reserved Font Name for this Font Software.
"line10" is a Reserved Font Name for this Font Software.
"linew10" is a Reserved Font Name for this Font Software.
"msam10" is a Reserved Font Name for this Font Software.
"msam5" is a Reserved Font Name for this Font Software.
"msam6" is a Reserved Font Name for this Font Software.
"msam7" is a Reserved Font Name for this Font Software.
"msam8" is a Reserved Font Name for this Font Software.
"msam9" is a Reserved Font Name for this Font Software.
"msbm10" is a Reserved Font Name for this Font Software.
"msbm5" is a Reserved Font Name for this Font Software.
"msbm6" is a Reserved Font Name for this Font Software.
"msbm7" is a Reserved Font Name for this Font Software.
"msbm8" is a Reserved Font Name for this Font Software.
"msbm9" is a Reserved Font Name for this Font Software.
"wncyb10" is a Reserved Font Name for this Font Software.
"wncyi10" is a Reserved Font Name for this Font Software.
"wncyr10" is a Reserved Font Name for this Font Software.
"wncysc10" is a Reserved Font Name for this Font Software.
"wncyss10" is a Reserved Font Name for this Font Software.
This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
http://scripts.sil.org/OFL
-----------------------------------------------------------
SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
-----------------------------------------------------------
PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide
development of collaborative font projects, to support the font creation
efforts of academic and linguistic communities, and to provide a free and
open framework in which fonts may be shared and improved in partnership
with others.
The OFL allows the licensed fonts to be used, studied, modified and
redistributed freely as long as they are not sold by themselves. The
fonts, including any derivative works, can be bundled, embedded,
redistributed and/or sold with any software provided that any reserved
names are not used by derivative works. The fonts and derivatives,
however, cannot be released under any other type of license. The
requirement for fonts to remain under this license does not apply
to any document created using the fonts or their derivatives.
DEFINITIONS
"Font Software" refers to the set of files released by the Copyright
Holder(s) under this license and clearly marked as such. This may
include source files, build scripts and documentation.
"Reserved Font Name" refers to any names specified as such after the
copyright statement(s).
"Original Version" refers to the collection of Font Software components as
distributed by the Copyright Holder(s).
"Modified Version" refers to any derivative made by adding to, deleting,
or substituting -- in part or in whole -- any of the components of the
Original Version, by changing formats or by porting the Font Software to a
new environment.
"Author" refers to any designer, engineer, programmer, technical
writer or other person who contributed to the Font Software.
PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining
a copy of the Font Software, to use, study, copy, merge, embed, modify,
redistribute, and sell modified and unmodified copies of the Font
Software, subject to the following conditions:
1) Neither the Font Software nor any of its individual components,
in Original or Modified Versions, may be sold by itself.
2) Original or Modified Versions of the Font Software may be bundled,
redistributed and/or sold with any software, provided that each copy
contains the above copyright notice and this license. These can be
included either as stand-alone text files, human-readable headers or
in the appropriate machine-readable metadata fields within text or
binary files as long as those fields can be easily viewed by the user.
3) No Modified Version of the Font Software may use the Reserved Font
Name(s) unless explicit written permission is granted by the corresponding
Copyright Holder. This restriction only applies to the primary font name as
presented to the users.
4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
Software shall not be used to promote, endorse or advertise any
Modified Version, except to acknowledge the contribution(s) of the
Copyright Holder(s) and the Author(s) or with their explicit written
permission.
5) The Font Software, modified or unmodified, in part or in whole,
must be distributed entirely under this license, and must not be
distributed under any other license. The requirement for fonts to
remain under this license does not apply to any document created
using the Font Software.
TERMINATION
This license becomes null and void if any of the above conditions are
not met.
DISCLAIMER
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
OTHER DEALINGS IN THE FONT SOFTWARE.

View file

@ -0,0 +1,40 @@
BaKoMa Fonts Licence
--------------------
This licence covers two font packs (known as BaKoMa Fonts Colelction,
which is available at `CTAN:fonts/cm/ps-type1/bakoma/'):
1) BaKoMa-CM (1.1/12-Nov-94)
Computer Modern Fonts in PostScript Type 1 and TrueType font formats.
2) BaKoMa-AMS (1.2/19-Jan-95)
AMS TeX fonts in PostScript Type 1 and TrueType font formats.
Copyright (C) 1994, 1995, Basil K. Malyshev. All Rights Reserved.
Permission to copy and distribute these fonts for any purpose is
hereby granted without fee, provided that the above copyright notice,
author statement and this permission notice appear in all copies of
these fonts and related documentation.
Permission to modify and distribute modified fonts for any purpose is
hereby granted without fee, provided that the copyright notice,
author statement, this permission notice and location of original
fonts (http://www.ctan.org/tex-archive/fonts/cm/ps-type1/bakoma)
appear in all copies of modified fonts and related documentation.
Permission to use these fonts (embedding into PostScript, PDF, SVG
and printing by using any software) is hereby granted without fee.
It is not required to provide any notices about using these fonts.
Basil K. Malyshev
INSTITUTE FOR HIGH ENERGY PHYSICS
IHEP, OMVT
Moscow Region
142281 PROTVINO
RUSSIA
E-Mail: bakoma@mail.ru
or malyshev@mail.ihep.ru

View file

@ -0,0 +1,45 @@
----> we renamed carlito -> carlogo to comply with the terms <----
Copyright (c) 2010-2013 by tyPoland Lukasz Dziedzic with Reserved Font Name "Carlito".
This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL
-----------------------------------------------------------
SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
-----------------------------------------------------------
PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others.
The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives.
DEFINITIONS
"Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation.
"Reserved Font Name" refers to any names specified as such after the copyright statement(s).
"Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s).
"Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment.
"Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software.
PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions:
1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself.
2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user.
3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users.
4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission.
5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software.
TERMINATION
This license becomes null and void if any of the above conditions are not met.
DISCLAIMER
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE.

View file

@ -0,0 +1,38 @@
Apache-Style Software License for ColorBrewer Color Schemes
Version 1.1
Copyright (c) 2002 Cynthia Brewer, Mark Harrower, and The Pennsylvania
State University. All rights reserved. Redistribution and use in source
and binary forms, with or without modification, are permitted provided
that the following conditions are met:
1. Redistributions as source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
2. The end-user documentation included with the redistribution, if any,
must include the following acknowledgment: "This product includes color
specifications and designs developed by Cynthia Brewer
(http://colorbrewer.org/)." Alternately, this acknowledgment may appear in
the software itself, if and wherever such third-party acknowledgments
normally appear.
3. The name "ColorBrewer" must not be used to endorse or promote products
derived from this software without prior written permission. For written
permission, please contact Cynthia Brewer at cbrewer@psu.edu.
4. Products derived from this software may not be called "ColorBrewer",
nor may "ColorBrewer" appear in their name, without prior written
permission of Cynthia Brewer.
THIS SOFTWARE IS PROVIDED "AS IS" AND ANY EXPRESSED OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL
CYNTHIA BREWER, MARK HARROWER, OR THE PENNSYLVANIA STATE UNIVERSITY BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.

View file

@ -0,0 +1,30 @@
Module creating PyQt4 form dialogs/layouts to edit various type of parameters
formlayout License Agreement (MIT License)
------------------------------------------
Copyright (c) 2009 Pierre Raybaut
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
"""

View file

@ -0,0 +1,20 @@
https://github.com/altercation/solarized/blob/master/LICENSE
Copyright (c) 2011 Ethan Schoonover
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

View file

@ -0,0 +1,71 @@
TERMS AND CONDITIONS
1. Permission is hereby granted, free of charge, to any person
obtaining a copy of the STIX Fonts-TM set accompanying this license
(collectively, the "Fonts") and the associated documentation files
(collectively with the Fonts, the "Font Software"), to reproduce and
distribute the Font Software, including the rights to use, copy, merge
and publish copies of the Font Software, and to permit persons to whom
the Font Software is furnished to do so same, subject to the following
terms and conditions (the "License").
2. The following copyright and trademark notice and these Terms and
Conditions shall be included in all copies of one or more of the Font
typefaces and any derivative work created as permitted under this
License:
Copyright (c) 2001-2005 by the STI Pub Companies, consisting of
the American Institute of Physics, the American Chemical Society, the
American Mathematical Society, the American Physical Society, Elsevier,
Inc., and The Institute of Electrical and Electronic Engineers, Inc.
Portions copyright (c) 1998-2003 by MicroPress, Inc. Portions copyright
(c) 1990 by Elsevier, Inc. All rights reserved. STIX Fonts-TM is a
trademark of The Institute of Electrical and Electronics Engineers, Inc.
3. You may (a) convert the Fonts from one format to another (e.g.,
from TrueType to PostScript), in which case the normal and reasonable
distortion that occurs during such conversion shall be permitted and (b)
embed or include a subset of the Fonts in a document for the purposes of
allowing users to read text in the document that utilizes the Fonts. In
each case, you may use the STIX Fonts-TM mark to designate the resulting
Fonts or subset of the Fonts.
4. You may also (a) add glyphs or characters to the Fonts, or modify
the shape of existing glyphs, so long as the base set of glyphs is not
removed and (b) delete glyphs or characters from the Fonts, provided
that the resulting font set is distributed with the following
disclaimer: "This [name] font does not include all the Unicode points
covered in the STIX Fonts-TM set but may include others." In each case,
the name used to denote the resulting font set shall not include the
term "STIX" or any similar term.
5. You may charge a fee in connection with the distribution of the
Font Software, provided that no copy of one or more of the individual
Font typefaces that form the STIX Fonts-TM set may be sold by itself.
6. THE FONT SOFTWARE IS PROVIDED "AS IS," WITHOUT WARRANTY OF ANY
KIND, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
OF COPYRIGHT, PATENT, TRADEMARK OR OTHER RIGHT. IN NO EVENT SHALL
MICROPRESS OR ANY OF THE STI PUB COMPANIES BE LIABLE FOR ANY CLAIM,
DAMAGES OR OTHER LIABILITY, INCLUDING, BUT NOT LIMITED TO, ANY GENERAL,
SPECIAL, INDIRECT, INCIDENTAL OR CONSEQUENTIAL DAMAGES, WHETHER IN AN
ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM OR OUT OF THE USE OR
INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT
SOFTWARE.
7. Except as contained in the notice set forth in Section 2, the
names MicroPress Inc. and STI Pub Companies, as well as the names of the
companies/organizations that compose the STI Pub Companies, shall not be
used in advertising or otherwise to promote the sale, use or other
dealings in the Font Software without the prior written consent of the
respective company or organization.
8. This License shall become null and void in the event of any
material breach of the Terms and Conditions herein by licensee.
9. A substantial portion of the STIX Fonts set was developed by
MicroPress Inc. for the STI Pub Companies. To obtain additional
mathematical fonts, please contact MicroPress, Inc., 68-30 Harrow
Street, Forest Hills, NY 11375, USA - Phone: (718) 575-1816.

View file

@ -0,0 +1,49 @@
BSD-style license for gist/yorick colormaps.
Copyright:
Copyright (c) 1996. The Regents of the University of California.
All rights reserved.
Permission to use, copy, modify, and distribute this software for any
purpose without fee is hereby granted, provided that this entire
notice is included in all copies of any software which is or includes
a copy or modification of this software and in all copies of the
supporting documentation for such software.
This work was produced at the University of California, Lawrence
Livermore National Laboratory under contract no. W-7405-ENG-48 between
the U.S. Department of Energy and The Regents of the University of
California for the operation of UC LLNL.
DISCLAIMER
This software was prepared as an account of work sponsored by an
agency of the United States Government. Neither the United States
Government nor the University of California nor any of their
employees, makes any warranty, express or implied, or assumes any
liability or responsibility for the accuracy, completeness, or
usefulness of any information, apparatus, product, or process
disclosed, or represents that its use would not infringe
privately-owned rights. Reference herein to any specific commercial
products, process, or service by trade name, trademark, manufacturer,
or otherwise, does not necessarily constitute or imply its
endorsement, recommendation, or favoring by the United States
Government or the University of California. The views and opinions of
authors expressed herein do not necessarily state or reflect those of
the United States Government or the University of California, and
shall not be used for advertising or product endorsement purposes.
AUTHOR
David H. Munro wrote Yorick and Gist. Berkeley Yacc (byacc) generated
the Yorick parser. The routines in Math are from LAPACK and FFTPACK;
MathC contains C translations by David H. Munro. The algorithms for
Yorick's random number generator and several special functions in
Yorick/include were taken from Numerical Recipes by Press, et. al.,
although the Yorick implementations are unrelated to those in
Numerical Recipes. A small amount of code in Gist was adapted from
the X11R4 release, copyright M.I.T. -- the complete copyright notice
may be found in the (unused) file Gist/host.c.

View file

@ -0,0 +1,140 @@
Metadata-Version: 2.1
Name: matplotlib
Version: 3.3.2
Summary: Python plotting package
Home-page: https://matplotlib.org
Author: John D. Hunter, Michael Droettboom
Author-email: matplotlib-users@python.org
License: PSF
Download-URL: https://matplotlib.org/users/installing.html
Project-URL: Documentation, https://matplotlib.org
Project-URL: Source Code, https://github.com/matplotlib/matplotlib
Project-URL: Bug Tracker, https://github.com/matplotlib/matplotlib/issues
Project-URL: Forum, https://discourse.matplotlib.org/
Project-URL: Donate, https://numfocus.org/donate-to-matplotlib
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: Matplotlib
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: Python Software Foundation License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Requires-Dist: certifi (>=2020.06.20)
Requires-Dist: cycler (>=0.10)
Requires-Dist: kiwisolver (>=1.0.1)
Requires-Dist: numpy (>=1.15)
Requires-Dist: pillow (>=6.2.0)
Requires-Dist: pyparsing (!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3)
Requires-Dist: python-dateutil (>=2.1)
|PyPi|_ |Downloads|_ |NUMFocus|_
|DiscourseBadge|_ |Gitter|_ |GitHubIssues|_ |GitTutorial|_
|Travis|_ |AzurePipelines|_ |AppVeyor|_ |Codecov|_ |LGTM|_
.. |Travis| image:: https://travis-ci.com/matplotlib/matplotlib.svg?branch=master
.. _Travis: https://travis-ci.com/matplotlib/matplotlib
.. |AzurePipelines| image:: https://dev.azure.com/matplotlib/matplotlib/_apis/build/status/matplotlib.matplotlib?branchName=master
.. _AzurePipelines: https://dev.azure.com/matplotlib/matplotlib/_build/latest?definitionId=1&branchName=master
.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/github/matplotlib/matplotlib?branch=master&svg=true
.. _AppVeyor: https://ci.appveyor.com/project/matplotlib/matplotlib
.. |Codecov| image:: https://codecov.io/github/matplotlib/matplotlib/badge.svg?branch=master&service=github
.. _Codecov: https://codecov.io/github/matplotlib/matplotlib?branch=master
.. |LGTM| image:: https://img.shields.io/lgtm/grade/python/g/matplotlib/matplotlib.svg?logo=lgtm&logoWidth=18
.. _LGTM: https://lgtm.com/projects/g/matplotlib/matplotlib
.. |DiscourseBadge| image:: https://img.shields.io/badge/help_forum-discourse-blue.svg
.. _DiscourseBadge: https://discourse.matplotlib.org
.. |Gitter| image:: https://badges.gitter.im/matplotlib/matplotlib.svg
.. _Gitter: https://gitter.im/matplotlib/matplotlib
.. |GitHubIssues| image:: https://img.shields.io/badge/issue_tracking-github-blue.svg
.. _GitHubIssues: https://github.com/matplotlib/matplotlib/issues
.. |GitTutorial| image:: https://img.shields.io/badge/PR-Welcome-%23FF8300.svg?
.. _GitTutorial: https://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project
.. |PyPi| image:: https://badge.fury.io/py/matplotlib.svg
.. _PyPi: https://badge.fury.io/py/matplotlib
.. |Downloads| image:: https://pepy.tech/badge/matplotlib/month
.. _Downloads: https://pepy.tech/project/matplotlib/month
.. |NUMFocus| image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A
.. _NUMFocus: https://numfocus.org
.. image:: https://matplotlib.org/_static/logo2.svg
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Check out our `home page <https://matplotlib.org/>`_ for more information.
.. image:: https://matplotlib.org/_static/readme_preview.png
Matplotlib produces publication-quality figures in a variety of hardcopy formats
and interactive environments across platforms. Matplotlib can be used in Python scripts,
the Python and IPython shell, web application servers, and various
graphical user interface toolkits.
Install
=======
For installation instructions and requirements, see `INSTALL.rst <INSTALL.rst>`_ or the
`install <https://matplotlib.org/users/installing.html>`_ documentation.
Test
====
After installation, launch the test suite::
python -m pytest
Read the `testing guide <https://matplotlib.org/devel/testing.html>`_ for more information and alternatives.
Contribute
==========
You've discovered a bug or something else you want to change - excellent!
You've worked out a way to fix it even better!
You want to tell us about it best of all!
Start at the `contributing guide <https://matplotlib.org/devdocs/devel/contributing.html>`_!
Contact
=======
`Discourse <https://discourse.matplotlib.org/>`_ is the discussion forum for general questions and discussions and our recommended starting point.
Our active mailing lists (which are mirrored on Discourse) are:
* `Users <https://mail.python.org/mailman/listinfo/matplotlib-users>`_ mailing list: matplotlib-users@python.org
* `Announcement <https://mail.python.org/mailman/listinfo/matplotlib-announce>`_ mailing list: matplotlib-announce@python.org
* `Development <https://mail.python.org/mailman/listinfo/matplotlib-devel>`_ mailing list: matplotlib-devel@python.org
Gitter_ is for coordinating development and asking questions directly related
to contributing to matplotlib.
Citing Matplotlib
=================
If Matplotlib contributes to a project that leads to publication, please
acknowledge this by citing Matplotlib.
`A ready-made citation entry <https://matplotlib.org/citing.html>`_ is available.

View file

@ -0,0 +1,822 @@
__pycache__/pylab.cpython-36.pyc,,
matplotlib-3.3.2-py3.6-nspkg.pth,sha256=g9pwhlfLQRispACfr-Zaah4Psceyhyx9K_qv929IpMo,570
matplotlib-3.3.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
matplotlib-3.3.2.dist-info/LICENSE,sha256=ojr3trhyymyw7GeYxkhO2JYoAxUVscbgMFz9b1qrcVM,4928
matplotlib-3.3.2.dist-info/LICENSE_AMSFONTS,sha256=1nBvhOSH8d3ceR8cyG_bknr7Wg4RSmoB5M_HE72FVyE,12915
matplotlib-3.3.2.dist-info/LICENSE_BAKOMA,sha256=RMmLfO-TQmiuGbo4NwaPETH4OqNTWAzDwDWPTA8ikdg,1480
matplotlib-3.3.2.dist-info/LICENSE_CARLOGO,sha256=zpO9wbKCiF7rqj4STQcHWjzLj_67kzhx1mzdwjnLdIE,4499
matplotlib-3.3.2.dist-info/LICENSE_COLORBREWER,sha256=13Q--YD83BybM3nwuFLBxbUKygI9hALtJ8tZZiSQj5I,2006
matplotlib-3.3.2.dist-info/LICENSE_QT4_EDITOR,sha256=AlDgmC0knGnjFWMZHYO0xVFQ4ws699gKFMSnKueffdM,1260
matplotlib-3.3.2.dist-info/LICENSE_SOLARIZED,sha256=RrSaK9xcK12Uhuka3LOhEB_QW5ibbYX3kdwCakxULM0,1141
matplotlib-3.3.2.dist-info/LICENSE_STIX,sha256=I3calycBxqh5ggJcyDvyYU4vu6Qf2bpleUWbTmWKDL4,3985
matplotlib-3.3.2.dist-info/LICENSE_YORICK,sha256=iw-4fuTKjfpFYXIStZJ_pmLmIuZZWzUIpz6RwIKCSkk,2362
matplotlib-3.3.2.dist-info/METADATA,sha256=wU6O5V7R_ajbGQFO2-LQWfU_4bb-I7I-BfNB5gDcQ_Y,5700
matplotlib-3.3.2.dist-info/RECORD,,
matplotlib-3.3.2.dist-info/WHEEL,sha256=ZFeOeZQCWkgYx9PG5WAxk1yIHroxd2erWFNpu0USMOg,102
matplotlib-3.3.2.dist-info/namespace_packages.txt,sha256=A2PHFg9NKYOU4pEQ1h97U0Qd-rB-65W34XqC-56ZN9g,13
matplotlib-3.3.2.dist-info/top_level.txt,sha256=9tEw2ni8DdgX8CceoYHqSH1s50vrJ9SDfgtLIG8e3Y4,30
matplotlib/__init__.py,sha256=nIxcNK_DSZOgT5aHHbanHrmTZ-zGeoG-tv0hTslODgU,51946
matplotlib/__pycache__/__init__.cpython-36.pyc,,
matplotlib/__pycache__/_animation_data.cpython-36.pyc,,
matplotlib/__pycache__/_cm.cpython-36.pyc,,
matplotlib/__pycache__/_cm_listed.cpython-36.pyc,,
matplotlib/__pycache__/_color_data.cpython-36.pyc,,
matplotlib/__pycache__/_constrained_layout.cpython-36.pyc,,
matplotlib/__pycache__/_internal_utils.cpython-36.pyc,,
matplotlib/__pycache__/_layoutbox.cpython-36.pyc,,
matplotlib/__pycache__/_mathtext_data.cpython-36.pyc,,
matplotlib/__pycache__/_pylab_helpers.cpython-36.pyc,,
matplotlib/__pycache__/_text_layout.cpython-36.pyc,,
matplotlib/__pycache__/_version.cpython-36.pyc,,
matplotlib/__pycache__/afm.cpython-36.pyc,,
matplotlib/__pycache__/animation.cpython-36.pyc,,
matplotlib/__pycache__/artist.cpython-36.pyc,,
matplotlib/__pycache__/axis.cpython-36.pyc,,
matplotlib/__pycache__/backend_bases.cpython-36.pyc,,
matplotlib/__pycache__/backend_managers.cpython-36.pyc,,
matplotlib/__pycache__/backend_tools.cpython-36.pyc,,
matplotlib/__pycache__/bezier.cpython-36.pyc,,
matplotlib/__pycache__/blocking_input.cpython-36.pyc,,
matplotlib/__pycache__/category.cpython-36.pyc,,
matplotlib/__pycache__/cm.cpython-36.pyc,,
matplotlib/__pycache__/collections.cpython-36.pyc,,
matplotlib/__pycache__/colorbar.cpython-36.pyc,,
matplotlib/__pycache__/colors.cpython-36.pyc,,
matplotlib/__pycache__/container.cpython-36.pyc,,
matplotlib/__pycache__/contour.cpython-36.pyc,,
matplotlib/__pycache__/dates.cpython-36.pyc,,
matplotlib/__pycache__/docstring.cpython-36.pyc,,
matplotlib/__pycache__/dviread.cpython-36.pyc,,
matplotlib/__pycache__/figure.cpython-36.pyc,,
matplotlib/__pycache__/font_manager.cpython-36.pyc,,
matplotlib/__pycache__/fontconfig_pattern.cpython-36.pyc,,
matplotlib/__pycache__/gridspec.cpython-36.pyc,,
matplotlib/__pycache__/hatch.cpython-36.pyc,,
matplotlib/__pycache__/image.cpython-36.pyc,,
matplotlib/__pycache__/legend.cpython-36.pyc,,
matplotlib/__pycache__/legend_handler.cpython-36.pyc,,
matplotlib/__pycache__/lines.cpython-36.pyc,,
matplotlib/__pycache__/markers.cpython-36.pyc,,
matplotlib/__pycache__/mathtext.cpython-36.pyc,,
matplotlib/__pycache__/mlab.cpython-36.pyc,,
matplotlib/__pycache__/offsetbox.cpython-36.pyc,,
matplotlib/__pycache__/patches.cpython-36.pyc,,
matplotlib/__pycache__/path.cpython-36.pyc,,
matplotlib/__pycache__/patheffects.cpython-36.pyc,,
matplotlib/__pycache__/pylab.cpython-36.pyc,,
matplotlib/__pycache__/pyplot.cpython-36.pyc,,
matplotlib/__pycache__/quiver.cpython-36.pyc,,
matplotlib/__pycache__/rcsetup.cpython-36.pyc,,
matplotlib/__pycache__/sankey.cpython-36.pyc,,
matplotlib/__pycache__/scale.cpython-36.pyc,,
matplotlib/__pycache__/spines.cpython-36.pyc,,
matplotlib/__pycache__/stackplot.cpython-36.pyc,,
matplotlib/__pycache__/streamplot.cpython-36.pyc,,
matplotlib/__pycache__/table.cpython-36.pyc,,
matplotlib/__pycache__/texmanager.cpython-36.pyc,,
matplotlib/__pycache__/text.cpython-36.pyc,,
matplotlib/__pycache__/textpath.cpython-36.pyc,,
matplotlib/__pycache__/ticker.cpython-36.pyc,,
matplotlib/__pycache__/tight_bbox.cpython-36.pyc,,
matplotlib/__pycache__/tight_layout.cpython-36.pyc,,
matplotlib/__pycache__/transforms.cpython-36.pyc,,
matplotlib/__pycache__/ttconv.cpython-36.pyc,,
matplotlib/__pycache__/type1font.cpython-36.pyc,,
matplotlib/__pycache__/units.cpython-36.pyc,,
matplotlib/__pycache__/widgets.cpython-36.pyc,,
matplotlib/_animation_data.py,sha256=VBdNJx3GOBmEPjZohLW5uQlNKl90R0j1ojXO7EI0Gvc,7991
matplotlib/_cm.py,sha256=UhH08HifUQWul3EhJfiuqv2lkWtLSLDDWLU28sC77SI,68000
matplotlib/_cm_listed.py,sha256=hA_9d8M187heFixIHIY9ywETb7eIOr9Ei4cDOx1y_pc,111533
matplotlib/_color_data.py,sha256=ZnJq9AKcEl_cviGVCk5f4K6fT0nYB-iv-1k8xiNCOj4,36094
matplotlib/_constrained_layout.py,sha256=WLLx5fVfh7WPGkji0XpgdEjWwCKbatjrsO7m2rFimAk,28080
matplotlib/_contour.cp36-win32.pyd,sha256=4y-EuRAdzQ4W4uJMFzrBzw-1aaA2SGyzMDpYYOa84Cw,52224
matplotlib/_image.cp36-win32.pyd,sha256=Vldi0gw2tqIgyncKde5SZ8Rx2u4EexNia8Ir89zaWGs,148992
matplotlib/_internal_utils.py,sha256=MI2ymzqrQ1IH2yy6-n9mtm765vzgGSdEx7myejgbzt4,2204
matplotlib/_layoutbox.py,sha256=5fdldA1l9qkkvHDbOA0-8hOGDLfokfEm6YCG-R8_N1w,24329
matplotlib/_mathtext_data.py,sha256=HPbLPHO8Fr2ALu_7bx-ZdpVtV5QS4Lqhhwad27LCJm4,57820
matplotlib/_path.cp36-win32.pyd,sha256=Ucd9kfkr6SGocfPxXRfpft8TKxyZpL3kOU0507EOgcY,130560
matplotlib/_pylab_helpers.py,sha256=u_A2kpsSrzzHQPZJfrLy_OnoT8ZnERR2PNP5vR-tFHc,4641
matplotlib/_qhull.cp36-win32.pyd,sha256=pYhhw2h-CsFFronZMBD3II3XUjoOj8Zo8XR3kTMqUWc,332288
matplotlib/_text_layout.py,sha256=VWUKACJHQDffzTPDZDbOuSbrc05tVWxo1FgyzBKh-WI,1074
matplotlib/_tri.cp36-win32.pyd,sha256=RU3vff2PDrfc9L6-bf2DJ4QYMnAkhlRo6oIvdwGsGdA,78848
matplotlib/_ttconv.cp36-win32.pyd,sha256=EefLNliYDD3wvroO7JJX1DB-5ITYIN43Pn5za3l0JxA,53760
matplotlib/_version.py,sha256=WJ_oZxE8b3IVAW0mlwjXTUofXtcKFkt-zBpxF-eEwPI,492
matplotlib/afm.py,sha256=XdHzjPPuOS0nyqggqn34gMtVuRRAG7QKx6bFaMt7x9s,17105
matplotlib/animation.py,sha256=nuxILluQSmMikEb17q00B_YPeT7TX8TTzB7--mHWUyU,68982
matplotlib/artist.py,sha256=sD_FjY3598zk2IRVtYnLoUaCRi4FOQE9HtCqzSK2oww,55635
matplotlib/axes/__init__.py,sha256=5LED7GJ0OxIdJfsHtnC1IYjxF9SNkyQg7UpmCkBT76k,48
matplotlib/axes/__pycache__/__init__.cpython-36.pyc,,
matplotlib/axes/__pycache__/_axes.cpython-36.pyc,,
matplotlib/axes/__pycache__/_base.cpython-36.pyc,,
matplotlib/axes/__pycache__/_secondary_axes.cpython-36.pyc,,
matplotlib/axes/__pycache__/_subplots.cpython-36.pyc,,
matplotlib/axes/_axes.py,sha256=0zBbRvKDo-yRMtKm4CvRpTS2xQ7W1YHSE1AijJeLHAM,321258
matplotlib/axes/_base.py,sha256=ZJKTPFPvMmuNWNwOT2wv3AgXu605ZufZNw4cCCFKtqM,163369
matplotlib/axes/_secondary_axes.py,sha256=NySpuooPhdX0QfBL698jg0jEkToTBW21YXP5DDbut0Q,13746
matplotlib/axes/_subplots.py,sha256=JSpGTJYOy_XQygVwdBNlm_1ZvXhlSmsF42nUHUn9mV4,9900
matplotlib/axis.py,sha256=s6O_vHWKGVIIDfNTxgz6UoGGvOjJHMLweyir699ZpII,94935
matplotlib/backend_bases.py,sha256=loykn9lQUPhO8QqxhoD5WYvHgWBzzRlpt2bjGJWHqEc,130875
matplotlib/backend_managers.py,sha256=jeG3MrkovNCz7GZshQWKmHJx0B6cWlx_nX9Giq8VPBU,14303
matplotlib/backend_tools.py,sha256=F83TpsNO3IHHQyzkgrG2D0nDsSCb5CPM8hZdsLYT32c,36037
matplotlib/backends/__init__.py,sha256=ASrypuHdJgwLQwfr7X9ou0hlJohw_7V4t8CmpazOY7I,109
matplotlib/backends/__pycache__/__init__.cpython-36.pyc,,
matplotlib/backends/__pycache__/_backend_pdf_ps.cpython-36.pyc,,
matplotlib/backends/__pycache__/_backend_tk.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_agg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_cairo.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_gtk3.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_gtk3agg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_gtk3cairo.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_macosx.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_mixed.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_nbagg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_pdf.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_pgf.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_ps.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_qt4.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_qt4agg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_qt4cairo.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_qt5.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_qt5agg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_qt5cairo.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_svg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_template.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_tkagg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_tkcairo.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_webagg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_webagg_core.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_wx.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_wxagg.cpython-36.pyc,,
matplotlib/backends/__pycache__/backend_wxcairo.cpython-36.pyc,,
matplotlib/backends/__pycache__/qt_compat.cpython-36.pyc,,
matplotlib/backends/_backend_agg.cp36-win32.pyd,sha256=F8MjE11SPSBius1sxWbFc184UoQUhrKp7uiJyfw3tfQ,166912
matplotlib/backends/_backend_pdf_ps.py,sha256=4VlQejw7QYo8p0TGvemnZ-YrN_NUj0goRGkzYJRvooM,3895
matplotlib/backends/_backend_tk.py,sha256=K0RrP8cPd8lE4auSpxIr1ty8xfPeZWw4t1y6hLhFJv0,33775
matplotlib/backends/_tkagg.cp36-win32.pyd,sha256=6-4HlFU9csX5sUu31GkRYWlMGtvN0oSOZ6_z2wDOM98,21504
matplotlib/backends/backend_agg.py,sha256=JkmOGb7mEGju_m08VSygQv_J-fl8okg5sbkUDlbRrkg,23621
matplotlib/backends/backend_cairo.py,sha256=r03YcTMYdwJV1UbtHcd4xcgVhdHi3x_exaZc3pJFzPc,19219
matplotlib/backends/backend_gtk3.py,sha256=y5sIGimTq7fKI2LYaxY0OETsAn8NXADye9yuNM5UT0U,34074
matplotlib/backends/backend_gtk3agg.py,sha256=CZynWriGhHAZfcqDQcwJ3b0ZMgn-Lj6ZVHBDgs0OcUo,2890
matplotlib/backends/backend_gtk3cairo.py,sha256=Jv4_AoYuQxm-E_ycTw_WZY24Sl40dXGqgM_AbcvfLt0,1391
matplotlib/backends/backend_macosx.py,sha256=rgqh_ULdJrbqzYyAkKDvxZ5iMnvHhuKHA0SxZO63QoI,5849
matplotlib/backends/backend_mixed.py,sha256=l27mVBO_YjJi8x1Qzy4qrGy68lSdOv1U74peIymhjv0,5323
matplotlib/backends/backend_nbagg.py,sha256=2n9tvHQMlumnq6RhrJpY8pPxMDQ3W6I186d5D4G5pFE,8814
matplotlib/backends/backend_pdf.py,sha256=vpvhoxBZ19g9FWf--XL3j4WsfqqmTe39EZGuG4DMieA,99623
matplotlib/backends/backend_pgf.py,sha256=3vP15NPoJS8H8TMsj5xM-YJ8j9PCdLGRvLsCk0J5UYs,44633
matplotlib/backends/backend_ps.py,sha256=Dya3uEPWB23cXJo4zw48Wzto7XzghkfO_cXD3sBBRmI,48079
matplotlib/backends/backend_qt4.py,sha256=jfPKB0_c44yxOEtFVyCQF278b0FcP3mzVwFqx9hjvwI,528
matplotlib/backends/backend_qt4agg.py,sha256=i6tgNDEB2Wn8-8VAzoMOIwnprk8tWtw7hF6aJgijFqs,395
matplotlib/backends/backend_qt4cairo.py,sha256=GI-7aWPfK3m-g8SboesEnX9xbJKjGf235kG-ZjEjojE,327
matplotlib/backends/backend_qt5.py,sha256=qUPBeWmTV_-NRsTYyswY7k4TQrZ4ibAcc2kw_88eNHE,40269
matplotlib/backends/backend_qt5agg.py,sha256=csXMx4VBEEhoaSHlTyyZs4haGJK1a4NnTx9ROtwzAro,3247
matplotlib/backends/backend_qt5cairo.py,sha256=3Nw5QyHNOVF4HZ5L7VRodePqjVjPeOSIm9xjQJSbP_U,1865
matplotlib/backends/backend_svg.py,sha256=9Rc3YiBycRIqU9wOGPDQoZ4L1-WtjTs4_T1jhru47gg,50534
matplotlib/backends/backend_template.py,sha256=pmoNUPWnZ239xqdD3513o1aFT6mX2S-6azoqiqTIaYI,8674
matplotlib/backends/backend_tkagg.py,sha256=D_GuTCki9bCjRvsTIrwH5KBqR0t3YS9dHDUVWpZvPf8,697
matplotlib/backends/backend_tkcairo.py,sha256=9Qw6AlLvt92blm9-J9fIp5-Rsh0NmvHZtZNIiT6lxzI,1100
matplotlib/backends/backend_webagg.py,sha256=DQgTUyabZ295QJixlbamxa2Vfa9feKUW782d_DDD0cc,11384
matplotlib/backends/backend_webagg_core.py,sha256=X25yA6B1M3umY0HTos8Q4_HWgGgeumQaJh9FY_lU7Wo,18565
matplotlib/backends/backend_wx.py,sha256=QSvZ4BXvgyGPyS387WyxlGkiDT2ieR6qOh740_C9Dr4,62340
matplotlib/backends/backend_wxagg.py,sha256=je8nTv--IruEOs0KgiJOfl1sEo7wBbkkquqiPFaUKOo,3024
matplotlib/backends/backend_wxcairo.py,sha256=fsDGrdOKng2qGlN1gOHa6_6UgfNiXWUpu_CO_A67fqc,1880
matplotlib/backends/qt_compat.py,sha256=xt1i9q0WGqd3vIiSPFLn0f7VBHkX6WmjhyG3qg_bVc8,8289
matplotlib/backends/qt_editor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
matplotlib/backends/qt_editor/__pycache__/__init__.cpython-36.pyc,,
matplotlib/backends/qt_editor/__pycache__/_formlayout.cpython-36.pyc,,
matplotlib/backends/qt_editor/__pycache__/_formsubplottool.cpython-36.pyc,,
matplotlib/backends/qt_editor/__pycache__/figureoptions.cpython-36.pyc,,
matplotlib/backends/qt_editor/__pycache__/formsubplottool.cpython-36.pyc,,
matplotlib/backends/qt_editor/_formlayout.py,sha256=3YMhRLpmiPygAp69FDzNNNE7tMft5Idq6uBdWj4PDUE,21150
matplotlib/backends/qt_editor/_formsubplottool.py,sha256=IJRLiHJYNay9dq8soSR30RpzsDy2QGK_VM-de-skcMM,1547
matplotlib/backends/qt_editor/figureoptions.py,sha256=Bv1fpNcBEGJZNaqaJ8fEfZThl4cxxlnlMAPl5HBpE6g,9731
matplotlib/backends/qt_editor/formsubplottool.py,sha256=duxTyAhD8XFzgZ9Fnw6a4ZM34QDDEZweabXE4up2jPg,244
matplotlib/backends/web_backend/.eslintrc.js,sha256=Dv3YGyMCOxbDobwrxr332zNYMCxb6s_o07kQeizIko8,698
matplotlib/backends/web_backend/.prettierignore,sha256=fhFE5YEVNHXvenOGu5fVvhzhGEMjutAocXz36mDB0iw,104
matplotlib/backends/web_backend/.prettierrc,sha256=Yz-e2yrtBxjx8MeDh7Z55idCjKgOxGZwSe6PQJo-4z0,156
matplotlib/backends/web_backend/all_figures.html,sha256=4iWdKDVq2wj-ox_wGB6jT_5a1XIZfx7cCSxptQr11_U,1669
matplotlib/backends/web_backend/css/boilerplate.css,sha256=y2DbHYWFOmDcKhmUwACIwgZdL8mRqldKiQfABqlrCtA,2387
matplotlib/backends/web_backend/css/fbm.css,sha256=-5wOcfCz-3RLDtEhOPo855AyDpxEnhN6hjeKuQi7ALE,1570
matplotlib/backends/web_backend/css/mpl.css,sha256=VfGbqCCnb-3ZCSgUyv1PcmfEPvank9340v-F2oyhapw,1695
matplotlib/backends/web_backend/css/page.css,sha256=qCCXiXJvwyM3zKpOlrhndn2kZl0CpOcd2ZDXA4JlLwo,1707
matplotlib/backends/web_backend/ipython_inline_figure.html,sha256=C4mEsVfrNuy5K92pzLtrgw0wP_XG_-2h74CTngsPvCQ,1345
matplotlib/backends/web_backend/js/mpl.js,sha256=NNW31FIjoKLrtvucppMZ5qON3n8oowAN91Q1yW28Tx0,21583
matplotlib/backends/web_backend/js/mpl_tornado.js,sha256=k3JjkEWP-C2DCk8qrA3JPXFRl8Xu6gCf7zMtBZO4s5c,310
matplotlib/backends/web_backend/js/nbagg_mpl.js,sha256=UJ_93YaMoP1wv1cUJOEOkJX9ybl55MMYsA0UazFDMfU,9057
matplotlib/backends/web_backend/nbagg_uat.ipynb,sha256=m_Bmbn9FfF1jUCvk_7C_x_Ho6uzvj7KRayRhNsehIgQ,16572
matplotlib/backends/web_backend/package.json,sha256=01wvCHHnw0mTVKiKLo3WHOtd5DxM6dBuHfO-xXpc7yw,493
matplotlib/backends/web_backend/single_figure.html,sha256=Tv4FxHdVi872xGsC_WHeOsR9zCUmWNR4KoqEur9nTJ4,1276
matplotlib/bezier.py,sha256=lY6ZggspGISUWtHcgQ0FViih5NicvCeij6Uai0rSN8c,20094
matplotlib/blocking_input.py,sha256=94vk5DbqlDiXbMRRvN8XwdsCPwv26h_Hd_2YEAO6mdQ,11657
matplotlib/category.py,sha256=xm5YGFw4Md1HldRFmBv39XmS4UTVX3iIhVrF2DOMkD4,7392
matplotlib/cbook/__init__.py,sha256=x57PztycDvnYq5w0IYu4hBWSbkduJxGfJY-38I1ukN4,79579
matplotlib/cbook/__pycache__/__init__.cpython-36.pyc,,
matplotlib/cbook/__pycache__/deprecation.cpython-36.pyc,,
matplotlib/cbook/deprecation.py,sha256=5KlE9p5XReOGJQUk7-3J79za0exp1KxkZSr-On5AIYI,19409
matplotlib/cm.py,sha256=HIcWq9v_Szs5HpocwBN6-UD5fweBxxHYN0xZPE6XhG8,17227
matplotlib/collections.py,sha256=bc5s7JGcmjtZfjF-_Cr4llq2We5IaTgcL50TWn2SJDs,79077
matplotlib/colorbar.py,sha256=373Lgskpxq1aWbNNM3wtUAk0-OL4MuSZ_AeCwiDt4ng,67375
matplotlib/colors.py,sha256=TnS5YJn_Q6prkRQ24Kltxa-6J3WLwNiokWwxpNmKunc,80447
matplotlib/compat/__init__.py,sha256=jbHKhpHmaPogoOMoo6GENDl6oHffkq6GMgR9Nwpo0HY,98
matplotlib/compat/__pycache__/__init__.cpython-36.pyc,,
matplotlib/container.py,sha256=QJuTObESj229OcUGUYeD0DLxG_ssk6cAdfVymk_crwk,4440
matplotlib/contour.py,sha256=Nmx3BG7pF6-u-lmNZdh13BdOlmpJWbohnNRvvczpDRo,70901
matplotlib/dates.py,sha256=Qyv_FbS6VX5lRmeQ_dKzdJch8b0q5b2ptI4qVzaHeRA,69193
matplotlib/docstring.py,sha256=ya7wa0PWtxKSw4KDSkF7dgI8dQq3QLGx7_Exkg4HR_4,2516
matplotlib/dviread.py,sha256=UJ2T2_lzNG7b4TcnD1Aro841NmLTDQt1H32Tuzv_1qQ,41351
matplotlib/figure.py,sha256=V37mwC3NOoi_JNEGnNDkQ-YV6hxOrxbNAWrhlC9Vs38,108822
matplotlib/font_manager.py,sha256=5ut9rsHGXJKj6QATPrAA3obiFVywZoEm3RSMRfDcBBE,50225
matplotlib/fontconfig_pattern.py,sha256=J5-yG_qyi4ACRcDVw7aopFv3raii8QC4DhRPnhLkb5Q,6860
matplotlib/ft2font.cp36-win32.pyd,sha256=JWaKXGkwMLwGugb74n0AfAtYgfnMu0gQ1sKtOm43qEc,498688
matplotlib/gridspec.py,sha256=2ikhEOv4bo_l7sGHgw946qaRr1VsRZiaXoRHIIxbUns,33890
matplotlib/hatch.py,sha256=6CvCCNXRK5rOfm5QXOZPOw3sqy2exoMJcgF9CrFBmu4,7098
matplotlib/image.py,sha256=kat4dB1TGQGs9J5D11vozK40lMp754HdVxm1hG6JEx8,68443
matplotlib/legend.py,sha256=5nVA1rQ0O1ocZcdwHab-SDZSkdQpfOQVj7-Owzws1-w,48832
matplotlib/legend_handler.py,sha256=LkImW6-iq3Mmdg8HhO332bPRG52CyF0PzJFJC4GURM0,26940
matplotlib/lines.py,sha256=fe1BMCt7eIjzxhFJMKfa1cTeUOjgHKXIcp4vtZLBlGU,53073
matplotlib/markers.py,sha256=2uZMUiLqcllco5wDagOR6KTrcC1xFktXvKAHPA3IY1E,32895
matplotlib/mathtext.py,sha256=kpI5WS3lOv87sxezsfq1_oU-IyxMMzgC2M-HsijHLu8,123994
matplotlib/mlab.py,sha256=c-Z_VxzBCq70gpS_CeAK41krVKWsAbogdD_WDwKNAdc,36780
matplotlib/mpl-data/fonts/afm/cmex10.afm,sha256=zdDttyyqQ6Aa5AMVWowpNWgEksTX5KUAFqUjFMTBiUc,12290
matplotlib/mpl-data/fonts/afm/cmmi10.afm,sha256=dCq-QWC9Vl4WmcD9IOi-CMMB-vmVj8VBTOJS20ODMC0,10742
matplotlib/mpl-data/fonts/afm/cmr10.afm,sha256=bGb6XAS-H48vh-vmvrF0lMunP1c-RGNB3Uzm1Am9vew,10444
matplotlib/mpl-data/fonts/afm/cmsy10.afm,sha256=lxhR0CjcTVxKsQ4GPe8ypC4DdYCbn5j4IXlq2QTAcDM,8490
matplotlib/mpl-data/fonts/afm/cmtt10.afm,sha256=kFzBQ0WX0GZBss0jl_MogJ7ZvECCE8MnLpX58IFRUFU,6657
matplotlib/mpl-data/fonts/afm/pagd8a.afm,sha256=_-81-K4IGcnEXZmOqkIMyL42gBRcxMEuk8N8onDtLIM,17759
matplotlib/mpl-data/fonts/afm/pagdo8a.afm,sha256=GrsbRiN4fuoPK-SiaMngnmi5KyZC_nOFf_LYFk_Luxg,17831
matplotlib/mpl-data/fonts/afm/pagk8a.afm,sha256=Fjz-OUzE9qB-MCosDuUrBnMq8BXmldx6j_zgj2mKc1k,17814
matplotlib/mpl-data/fonts/afm/pagko8a.afm,sha256=pS716alw6ytmYYSRnz6hPvb1BZPlq3aUiViJFYagsHk,17919
matplotlib/mpl-data/fonts/afm/pbkd8a.afm,sha256=WOJW5hnEnwBQGQsVxtdXI2PJ1m8qwF-xC4n6aD3-hRI,15572
matplotlib/mpl-data/fonts/afm/pbkdi8a.afm,sha256=6D2SRhcYc-apq_Qq62bj_FwU_uHxIK09Tt_wjSSJS7c,15695
matplotlib/mpl-data/fonts/afm/pbkl8a.afm,sha256=_ZJuFBKoz70E-SBlhG4Tb9Yqxm3I6D-jALpy-R-vcew,15407
matplotlib/mpl-data/fonts/afm/pbkli8a.afm,sha256=1_6b55YPDXk9a3RUnNvja7y2iR3P6BKnh6DvkPnZ5pA,15591
matplotlib/mpl-data/fonts/afm/pcrb8a.afm,sha256=5CDJe3t71aM5qinDYSE8svWhc6RjteZPNslOvNVp8NA,15696
matplotlib/mpl-data/fonts/afm/pcrbo8a.afm,sha256=jNfbbBHfwvu0RglxuLeuh1K10KWEkj1lEVJR_hXQSWE,15766
matplotlib/mpl-data/fonts/afm/pcrr8a.afm,sha256=Hx4X9kbsRm_S3eo9WLjuOQzuOmeZHO33b6uhDTsH1NQ,15683
matplotlib/mpl-data/fonts/afm/pcrro8a.afm,sha256=DLrBm4iOvjCpKBnyC7yGAO4fdIvRUCO0uV_kQiy9VfQ,15787
matplotlib/mpl-data/fonts/afm/phvb8a.afm,sha256=PR_ybr2HVx6aOXVRza7a-255AtGEyDwj_pC_xK1VH1o,17725
matplotlib/mpl-data/fonts/afm/phvb8an.afm,sha256=pFHdjRgEoKxxmlf1PcTc-3Hyzh1Fzz2Xe2A8KzT3JuA,17656
matplotlib/mpl-data/fonts/afm/phvbo8a.afm,sha256=4ocMbnfWYxd-YhpzbWPDRzDdckBRIlEHPZfAORFiaZQ,17800
matplotlib/mpl-data/fonts/afm/phvbo8an.afm,sha256=cOAehWQUbLAtfhcWjTgZc8aLvKo_cWom0JdqmKDPsTo,17765
matplotlib/mpl-data/fonts/afm/phvl8a.afm,sha256=QTqJU4cVVtbvZhqGXFAMRNyZxlJtmq6HE6UIbh6vLYE,16072
matplotlib/mpl-data/fonts/afm/phvlo8a.afm,sha256=fAEd2GRQzamnndBw4ARWkJNKIBgmW24Jvo4wZDUVPRg,16174
matplotlib/mpl-data/fonts/afm/phvr8a.afm,sha256=7G6gNk10zsb_wkQ2qov_SuIMtspNafAGppFQ9V-7Fmo,18451
matplotlib/mpl-data/fonts/afm/phvr8an.afm,sha256=9TCWRgRyCgpwpKiF98j10hq9mHjdGv09aU96mcgfx2k,18393
matplotlib/mpl-data/fonts/afm/phvro8a.afm,sha256=9eXW8tsJO-8iw98HCd9H7sIbG5d3fQ-ik5-XXXMkm-8,18531
matplotlib/mpl-data/fonts/afm/phvro8an.afm,sha256=Rgr4U-gChgMcWU5VyFMwPg2gGXB5D9DhrbtYtWb7jSE,18489
matplotlib/mpl-data/fonts/afm/pncb8a.afm,sha256=ZAfYR6gDZoTjPw1X9CKXAKhdGZzgSlDfdmxFIAaNMP0,16500
matplotlib/mpl-data/fonts/afm/pncbi8a.afm,sha256=h6gIWhFKh3aiUMuA4QPCKN39ja1CJWDnagz-rLJWeJA,18098
matplotlib/mpl-data/fonts/afm/pncr8a.afm,sha256=wqphv_7-oIEDrGhzQspyDeFD07jzAs5uaSbLnrZ53q0,17189
matplotlib/mpl-data/fonts/afm/pncri8a.afm,sha256=mXZEWq-pTgsOG8_Nx5F52DMF8RB63RzAVOnH3QcRWPo,17456
matplotlib/mpl-data/fonts/afm/pplb8a.afm,sha256=Yd8M-qXEemyVsBt4OY7vKYqr7Yc_KfRnb2E505ij3Ts,16096
matplotlib/mpl-data/fonts/afm/pplbi8a.afm,sha256=BLReUiSSOvoiaTymK8hwqWCR2ndXJR2U2FAU2YKVhgM,16251
matplotlib/mpl-data/fonts/afm/pplr8a.afm,sha256=OdM7mp--HfFWfp9IwolGoviuHphoATNFl88OG3h3Uw8,16197
matplotlib/mpl-data/fonts/afm/pplri8a.afm,sha256=n0_vo-JC8voK6FKHvnZCygzsvTfNllQRya3L0dtTRZY,16172
matplotlib/mpl-data/fonts/afm/psyr.afm,sha256=HItpBqCppGKaLaLUdijTZ31jzUV13UVEohYVUPSk1Kc,9853
matplotlib/mpl-data/fonts/afm/ptmb8a.afm,sha256=td8VINDw_7_X3U6dHLcNxT-_2wU_CqaTSntSW696-M8,18631
matplotlib/mpl-data/fonts/afm/ptmbi8a.afm,sha256=ZbK1H28xxIwcZGSqGR6iVtpMrZ15LRN1OfVLpt1yiZ8,18718
matplotlib/mpl-data/fonts/afm/ptmr8a.afm,sha256=lwDiLF8RkJ46RoVFY0qEQ9J_h54cQHF6MCRx3ehLG_Y,18590
matplotlib/mpl-data/fonts/afm/ptmri8a.afm,sha256=rYNz084EPuCgdbZcIvuaXA77ozg5sOgmGZjwpFzDGKQ,18716
matplotlib/mpl-data/fonts/afm/putb8a.afm,sha256=RJuuhzr-dyocKMX4pgC9UoK3Ive2bnWtk74Oyx7ZBPk,22537
matplotlib/mpl-data/fonts/afm/putbi8a.afm,sha256=1gyQknXqpiVmyKrcRhmenSJrP0kot5h84HmWtDQ3Leg,22948
matplotlib/mpl-data/fonts/afm/putr8a.afm,sha256=Y_v97ZJKRPfPI2cFuFstBtBxRbAf3AK-hHYDVswMtdA,23177
matplotlib/mpl-data/fonts/afm/putri8a.afm,sha256=Hxu2gSVpV93zKO6ecqtZSJZHQyE1xhwcUnh-RJ8TYPo,22899
matplotlib/mpl-data/fonts/afm/pzcmi8a.afm,sha256=BhzLcod8-nVd2MWeZsO_GoZUXso4OhQktIZ2e7txJY8,16730
matplotlib/mpl-data/fonts/afm/pzdr.afm,sha256=a7-NgSTSEyakts84h-hXLrbRrxmFhxr_NR51bhOLZYQ,9689
matplotlib/mpl-data/fonts/pdfcorefonts/Courier-Bold.afm,sha256=rQFQ1L7cyId3Qr-UJR_OwT40jdWZ1GA_Z52SAn0ebpk,15675
matplotlib/mpl-data/fonts/pdfcorefonts/Courier-BoldOblique.afm,sha256=y4LmnvX21CHo9AT-ALsNmTQlqueXJTMdDr-EfpTpfpI,15741
matplotlib/mpl-data/fonts/pdfcorefonts/Courier-Oblique.afm,sha256=snEDsqLvYDDBEGJll-KrR7uCeQdaA5q5Fw-ssKofcOE,15783
matplotlib/mpl-data/fonts/pdfcorefonts/Courier.afm,sha256=Uh4NfHUh79S-eKWpxTmOTGfQdx45YRWwNGvE73StpT0,15677
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica-Bold.afm,sha256=uIDZa69W0MwFnyWPYLTXZO9JtVWrnbKUuVnAAW3uQfI,72096
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica-BoldOblique.afm,sha256=aZhKNcomlzo58mHPg-DTZ-ouZRfFkLCwMNTUohnZwmk,72192
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica-Oblique.afm,sha256=tGCbcbZgo5KsCd81BgJxqHbCzmZhfdg7-Cb3QrudlyE,77443
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica.afm,sha256=2jPxhwR0yOaL_j4jU_8QerbG7qH5g2ziqvHhoHsXmC8,77343
matplotlib/mpl-data/fonts/pdfcorefonts/Symbol.afm,sha256=PSEoqCA3WhDem8i_bPsV3tSCwByg-VzAsyd_N-yL3mY,9953
matplotlib/mpl-data/fonts/pdfcorefonts/Times-Bold.afm,sha256=tKAA7YXLIsbN2YWqD9P2947VB5t8aGDcTwI04NDjxSI,66839
matplotlib/mpl-data/fonts/pdfcorefonts/Times-BoldItalic.afm,sha256=k8R0S6lVIV3gLEquC3dxM0Qq2i96taKvMKBAt5KzxV0,62026
matplotlib/mpl-data/fonts/pdfcorefonts/Times-Italic.afm,sha256=7Tf6LmpntbF9_Ufzb8fpDfMokaRAiGDbyNTLvplZ4kI,68995
matplotlib/mpl-data/fonts/pdfcorefonts/Times-Roman.afm,sha256=do4cq-oIXUiaY9o-gLlrxavw7JjTBzybTWunbnvMumQ,62879
matplotlib/mpl-data/fonts/pdfcorefonts/ZapfDingbats.afm,sha256=oyVlyQr9G1enAI_FZ7eNlc8cIq3_XghglNZm2IsDmFk,9752
matplotlib/mpl-data/fonts/pdfcorefonts/readme.txt,sha256=yQ1iD9441TPPu5-v-4nng62AUWpOPwW1M_NoeYTwGYQ,843
matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf,sha256=sYS4njwQdfIva3FXW2_CDUlys8_TsjMiym_Vltyu8Wc,704128
matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf,sha256=bt8CgxYBhq9FHL7nHnuEXy5Mq_Jku5ks5mjIPCVGXm8,641720
matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf,sha256=zN90s1DxH9PdV3TeUOXmNGoaXaH1t9X7g1kGZel6UhM,633840
matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf,sha256=P99pyr8GBJ6nCgC1kZNA4s4ebQKwzDxLRPtoAb0eDSI,756072
matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf,sha256=ggmdz7paqGjN_CdFGYlSX-MpL3N_s8ngMozpzvWWUvY,25712
matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf,sha256=uq2ppRcv4giGJRr_BDP8OEYZEtXa8HKH577lZiCo2pY,331536
matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf,sha256=ppCBwVx2yCfgonpaf1x0thNchDSZlVSV_6jCDTqYKIs,253116
matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf,sha256=KAUoE_enCfyJ9S0ZLcmV708P3Fw9e3OknWhJsZFtDNA,251472
matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf,sha256=YC7Ia4lIz82VZIL-ZPlMNshndwFJ7y95HUYT9EO87LM,340240
matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf,sha256=w3U_Lta8Zz8VhG3EWt2-s7nIcvMvsY_VOiHxvvHtdnY,355692
matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf,sha256=2T7-x6nS6CZ2jRou6VuVhw4V4pWZqE80hK8d4c7C4YE,347064
matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf,sha256=PnmU-8VPoQzjNSpC1Uj63X2crbacsRCbydlg9trFfwQ,345612
matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf,sha256=EHJElW6ZYrnpb6zNxVGCXgrgiYrhNzcTPhuSGi_TX_o,379740
matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf,sha256=KRTzLkfHd8J75Wd6-ufbTeefnkXeb8kJfZlJwjwU99U,14300
matplotlib/mpl-data/fonts/ttf/LICENSE_DEJAVU,sha256=xhup6GaKURy9C8_e6DKeAspspASKvabKfuisaKBZd2o,4915
matplotlib/mpl-data/fonts/ttf/LICENSE_STIX,sha256=LVswXqq9O9oRWEuSeKQwviEY8mU7yjTzd4SS_6gFyhY,5599
matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf,sha256=FnN4Ax4t3cYhbWeBnJJg6aBv_ExHjk4jy5im_USxg8I,448228
matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf,sha256=6FM9xwg_o0a9oZM9YOpKg7Z9CUW86vGzVB-CtKDixqA,237360
matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf,sha256=mHiP1LpI37sr0CbA4gokeosGxzcoeWKLemuw1bsJc2w,181152
matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf,sha256=bPyzM9IrfDxiO9_UAXTxTIXD1nMcphZsHtyAFA6uhSc,175040
matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf,sha256=Ulb34CEzWsSFTRgPDovxmJZOwvyCAXYnbhaqvGU3u1c,59108
matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf,sha256=XRBqW3jR_8MBdFU0ObhiV7-kXwiBIMs7QVClHcT5tgs,30512
matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf,sha256=pb22DnbDf2yQqizotc3wBDqFGC_g27YcCGJivH9-Le8,41272
matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf,sha256=BMr9pWiBv2YIZdq04X4c3CgL6NPLUPrl64aV1N4w9Ug,46752
matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf,sha256=wYuH1gYUpCuusqItRH5kf9p_s6mUD-9X3L5RvRtKSxs,13656
matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf,sha256=yNdvjUoSmsZCULmD7SVq9HabndG9P4dPhboL1JpAf0s,12228
matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf,sha256=-9xVMYL4_1rcO8FiCKrCfR4PaSmKtA42ddLGqwtei1w,15972
matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf,sha256=cYexyo8rZcdqMlpa9fNF5a2IoXLUTZuIvh0JD1Qp0i4,12556
matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf,sha256=0lbHzpndzJmO8S42mlkhsz5NbvJLQCaH5Mcc7QZRDzc,19760
matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf,sha256=3eBc-VtYbhQU3BnxiypfO6eAzEu8BdDvtIJSFbkS2oY,12192
matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf,sha256=XFSKCptbESM8uxHtUFSAV2cybwxhSjd8dWVByq6f3w0,15836
matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf,sha256=MUCYHrA0ZqFiSE_PjIGlJZgMuv79aUgQqE7Dtu3kuo0,12116
matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf,sha256=_sdxDuEwBDtADpu9CyIXQxV7sIqA2TZVBCUiUjq5UCk,15704
matplotlib/mpl-data/fonts/ttf/cmb10.ttf,sha256=B0SXtQxD6ldZcYFZH5iT04_BKofpUQT1ZX_CSB9hojo,25680
matplotlib/mpl-data/fonts/ttf/cmex10.ttf,sha256=ryjwwXByOsd2pxv6WVrKCemNFa5cPVTOGa_VYZyWqQU,21092
matplotlib/mpl-data/fonts/ttf/cmmi10.ttf,sha256=MJKWW4gR_WpnZXmWZIRRgfwd0TMLk3-RWAjEhdMWI00,32560
matplotlib/mpl-data/fonts/ttf/cmr10.ttf,sha256=Tdl2GwWMAJ25shRfVe5mF9CTwnPdPWxbPkP_YRD6m_Y,26348
matplotlib/mpl-data/fonts/ttf/cmss10.ttf,sha256=ffkag9BbLkcexjjLC0NaNgo8eSsJ_EKn2mfpHy55EVo,20376
matplotlib/mpl-data/fonts/ttf/cmsy10.ttf,sha256=uyJu2TLz8QDNDlL15JEu5VO0G2nnv9uNOFTbDrZgUjI,29396
matplotlib/mpl-data/fonts/ttf/cmtt10.ttf,sha256=YhHwmuk1mZka_alwwkZp2tGnfiU9kVYk-_IS9wLwcdc,28136
matplotlib/mpl-data/images/back-symbolic.svg,sha256=yRdMiKsa-awUm2x_JE_rEV20rNTa7FInbFBEoMo-6ik,1512
matplotlib/mpl-data/images/back.gif,sha256=sdkxFRAh-Mgs44DTvruO5OxcI3Av9CS1g5MqMA_DDkQ,608
matplotlib/mpl-data/images/back.pdf,sha256=ZR7CJo_dAeCM-KlaGvskgtHQyRtrPIolc8REOmcoqJk,1623
matplotlib/mpl-data/images/back.png,sha256=E4dGf4Gnz1xJ1v2tMygHV0YNQgShreDeVApaMb-74mU,380
matplotlib/mpl-data/images/back.svg,sha256=yRdMiKsa-awUm2x_JE_rEV20rNTa7FInbFBEoMo-6ik,1512
matplotlib/mpl-data/images/back_large.gif,sha256=tqCtecrxNrPuDCUj7FGs8UXWftljKcwgp5cSBBhXwiQ,799
matplotlib/mpl-data/images/back_large.png,sha256=9A6hUSQeszhYONE4ZuH3kvOItM0JfDVu6tkfromCbsQ,620
matplotlib/mpl-data/images/filesave-symbolic.svg,sha256=oxPVbLS9Pzelz71C1GCJWB34DZ0sx_pUVPRHBrCZrGs,2029
matplotlib/mpl-data/images/filesave.gif,sha256=wAyNwOPd9c-EIPwcUAlqHSfLmxq167nhDVppOWPy9UA,723
matplotlib/mpl-data/images/filesave.pdf,sha256=P1EPPV2g50WTt8UaX-6kFoTZM1xVqo6S2H6FJ6Zd1ec,1734
matplotlib/mpl-data/images/filesave.png,sha256=b7ctucrM_F2mG-DycTedG_a_y4pHkx3F-zM7l18GLhk,458
matplotlib/mpl-data/images/filesave.svg,sha256=oxPVbLS9Pzelz71C1GCJWB34DZ0sx_pUVPRHBrCZrGs,2029
matplotlib/mpl-data/images/filesave_large.gif,sha256=IXrenlwu3wwO8WTRvxHt_q62NF6ZWyqk3jZhm6GE-G8,1498
matplotlib/mpl-data/images/filesave_large.png,sha256=LNbRD5KZ3Kf7nbp-stx_a1_6XfGBSWUfDdpgmnzoRvk,720
matplotlib/mpl-data/images/forward-symbolic.svg,sha256=NnQDOenfjsn-o0aJMUfErrP320Zcx9XHZkLh0cjMHsk,1531
matplotlib/mpl-data/images/forward.gif,sha256=VNL9R-dECOX7wUAYPtU_DWn5hwi3SwLR17DhmBvUIxE,590
matplotlib/mpl-data/images/forward.pdf,sha256=KIqIL4YId43LkcOxV_TT5uvz1SP8k5iUNUeJmAElMV8,1630
matplotlib/mpl-data/images/forward.png,sha256=pKbLepgGiGeyY2TCBl8svjvm7Z4CS3iysFxcq4GR-wk,357
matplotlib/mpl-data/images/forward.svg,sha256=NnQDOenfjsn-o0aJMUfErrP320Zcx9XHZkLh0cjMHsk,1531
matplotlib/mpl-data/images/forward_large.gif,sha256=H6Jbcc7qJwHJAE294YqI5Bm-5irofX40cKRvYdrG_Ig,786
matplotlib/mpl-data/images/forward_large.png,sha256=36h7m7DZDHql6kkdpNPckyi2LKCe_xhhyavWARz_2kQ,593
matplotlib/mpl-data/images/hand.gif,sha256=3lRfmAqQU7A2t1YXXsB9IbwzK7FaRh-IZO84D5-xCrw,1267
matplotlib/mpl-data/images/hand.pdf,sha256=hspwkNY915KPD7AMWnVQs7LFPOtlcj0VUiLu76dMabQ,4172
matplotlib/mpl-data/images/hand.png,sha256=2cchRETGKa0hYNKUxnJABwkyYXEBPqJy_VqSPlT0W2Q,979
matplotlib/mpl-data/images/hand.svg,sha256=tsVIES_nINrAbH4FqdsCGOx0SVE37vcofSYBhnnaOP0,4888
matplotlib/mpl-data/images/hand_large.gif,sha256=H5IHmVTvOqHQb9FZ_7g7AlPt9gv-zRq0L5_Q9B7OuvU,973
matplotlib/mpl-data/images/help-symbolic.svg,sha256=KXabvQhqIWen_t2SvZuddFYa3S0iI3W8cAKm3s1fI8Q,1870
matplotlib/mpl-data/images/help.gif,sha256=3Cjr7YqfH7HFmYCmrJKxnoLPkbUfUcxQOW7RI2-4Cpo,564
matplotlib/mpl-data/images/help.pdf,sha256=CeE978IMi0YWznWKjIT1R8IrP4KhZ0S7usPUvreSgcA,1813
matplotlib/mpl-data/images/help.png,sha256=s4pQrqaQ0py8I7vc9hv3BI3DO_tky-7YBMpaHuBDCBY,472
matplotlib/mpl-data/images/help.ppm,sha256=mVPvgwcddzCM-nGZd8Lnl_CorzDkRIXQE17b7qo8vlU,1741
matplotlib/mpl-data/images/help.svg,sha256=KXabvQhqIWen_t2SvZuddFYa3S0iI3W8cAKm3s1fI8Q,1870
matplotlib/mpl-data/images/help_large.png,sha256=1IwEyWfGRgnoCWM-r9CJHEogTJVD5n1c8LXTK4AJ4RE,747
matplotlib/mpl-data/images/help_large.ppm,sha256=MiCSKp1Su88FXOi9MTtkQDA2srwbX3w5navi6cneAi4,6925
matplotlib/mpl-data/images/home-symbolic.svg,sha256=n_AosjJVXET3McymFuHgXbUr5vMLdXK2PDgghX8Cch4,1891
matplotlib/mpl-data/images/home.gif,sha256=NKuFM7tTtFngdfsOpJ4AxYTL8PYS5GWKAoiJjBMwLlU,666
matplotlib/mpl-data/images/home.pdf,sha256=e0e0pI-XRtPmvUCW2VTKL1DeYu1pvPmUUeRSgEbWmik,1737
matplotlib/mpl-data/images/home.png,sha256=IcFdAAUa6_A0qt8IO3I8p4rpXpQgAlJ8ndBECCh7C1w,468
matplotlib/mpl-data/images/home.svg,sha256=n_AosjJVXET3McymFuHgXbUr5vMLdXK2PDgghX8Cch4,1891
matplotlib/mpl-data/images/home_large.gif,sha256=k86PJCgED46sCFkOlUYHA0s5U7OjRsc517bpAtU2JSw,1422
matplotlib/mpl-data/images/home_large.png,sha256=uxS2O3tWOHh1iau7CaVV4ermIJaZ007ibm5Z3i8kXYg,790
matplotlib/mpl-data/images/matplotlib.pdf,sha256=BkSUf-2xoij-eXfpV2t7y1JFKG1zD1gtV6aAg3Xi_wE,22852
matplotlib/mpl-data/images/matplotlib.png,sha256=w8KLRYVa-voUZXa41hgJauQuoois23f3NFfdc72pUYY,1283
matplotlib/mpl-data/images/matplotlib.svg,sha256=QiTIcqlQwGaVPtHsEk-vtmJk1wxwZSvijhqBe_b9VCI,62087
matplotlib/mpl-data/images/matplotlib_128.ppm,sha256=IHPRWXpLFRq3Vb7UjiCkFrN_N86lSPcfrEGunST08d8,49167
matplotlib/mpl-data/images/matplotlib_large.png,sha256=ElRoue9grUqkZXJngk-nvh4GKfpvJ4gE69WryjCbX5U,3088
matplotlib/mpl-data/images/move-symbolic.svg,sha256=_ZKpcwGD6DMTkZlbyj0nQbT8Ygt5vslEZ0OqXaXGd4E,2509
matplotlib/mpl-data/images/move.gif,sha256=FN52MptH4FZiwmV2rQgYCO2FvO3m5LtqYv8jk6Xbeyk,679
matplotlib/mpl-data/images/move.pdf,sha256=CXk3PGK9WL5t-5J-G2X5Tl-nb6lcErTBS5oUj2St6aU,1867
matplotlib/mpl-data/images/move.png,sha256=TmjR41IzSzxGbhiUcV64X0zx2BjrxbWH3cSKvnG2vzc,481
matplotlib/mpl-data/images/move.svg,sha256=_ZKpcwGD6DMTkZlbyj0nQbT8Ygt5vslEZ0OqXaXGd4E,2509
matplotlib/mpl-data/images/move_large.gif,sha256=RMIAr-G9OOY7vWC04oN6qv5TAHJxhQGhLsw_bNsvWbg,951
matplotlib/mpl-data/images/move_large.png,sha256=Skjz2nW_RTA5s_0g88gdq2hrVbm6DOcfYW4Fu42Fn9U,767
matplotlib/mpl-data/images/qt4_editor_options.pdf,sha256=2qu6GVyBrJvVHxychQoJUiXPYxBylbH2j90QnytXs_w,1568
matplotlib/mpl-data/images/qt4_editor_options.png,sha256=EryQjQ5hh2dwmIxtzCFiMN1U6Tnd11p1CDfgH5ZHjNM,380
matplotlib/mpl-data/images/qt4_editor_options.svg,sha256=E00YoX7u4NrxMHm_L1TM8PDJ88bX5qRdCrO-Uj59CEA,1244
matplotlib/mpl-data/images/qt4_editor_options_large.png,sha256=-Pd-9Vh5aIr3PZa8O6Ge_BLo41kiEnpmkdDj8a11JkY,619
matplotlib/mpl-data/images/subplots-symbolic.svg,sha256=8acBogXIr9OWGn1iD6mUkgahdFZgDybww385zLCLoIs,2130
matplotlib/mpl-data/images/subplots.gif,sha256=QfhmUdcrko08-WtrzCJUjrVFDTvUZCJEXpARNtzEwkg,691
matplotlib/mpl-data/images/subplots.pdf,sha256=Q0syPMI5EvtgM-CE-YXKOkL9eFUAZnj_X2Ihoj6R4p4,1714
matplotlib/mpl-data/images/subplots.png,sha256=MUfCItq3_yzb9yRieGOglpn0Y74h8IA7m5i70B63iRc,445
matplotlib/mpl-data/images/subplots.svg,sha256=8acBogXIr9OWGn1iD6mUkgahdFZgDybww385zLCLoIs,2130
matplotlib/mpl-data/images/subplots_large.gif,sha256=Ff3ERmtVAaGP9i1QGUNnIIKac6LGuSW2Qf4DrockZSI,1350
matplotlib/mpl-data/images/subplots_large.png,sha256=Edu9SwVMQEXJZ5ogU5cyW7VLcwXJdhdf-EtxxmxdkIs,662
matplotlib/mpl-data/images/zoom_to_rect-symbolic.svg,sha256=1vRxr3cl8QTwTuRlQzD1jxu0fXZofTJ2PMgG97E7Bco,1479
matplotlib/mpl-data/images/zoom_to_rect.gif,sha256=mTX6h9fh2W9zmvUYqeibK0TZ7qIMKOB1nAXMpD_jDys,696
matplotlib/mpl-data/images/zoom_to_rect.pdf,sha256=SEvPc24gfZRpl-dHv7nx8KkxPyU66Kq4zgQTvGFm9KA,1609
matplotlib/mpl-data/images/zoom_to_rect.png,sha256=aNz3QZBrIgxu9E-fFfaQweCVNitGuDUFoC27e5NU2L4,530
matplotlib/mpl-data/images/zoom_to_rect.svg,sha256=1vRxr3cl8QTwTuRlQzD1jxu0fXZofTJ2PMgG97E7Bco,1479
matplotlib/mpl-data/images/zoom_to_rect_large.gif,sha256=nx5LUpTAH6ZynM3ZfZDS-wR87jbMUsUnyQ27NGkV0_c,1456
matplotlib/mpl-data/images/zoom_to_rect_large.png,sha256=V6pkxmm6VwFExdg_PEJWdK37HB7k3cE_corLa7RbUMk,1016
matplotlib/mpl-data/matplotlibrc,sha256=Qo18I-IbXQawZIgtVzbeQ0nx_yalJjnyjrCr0Q8yp1Q,40658
matplotlib/mpl-data/sample_data/Minduka_Present_Blue_Pack.png,sha256=XnKGiCanpDKalQ5anvo5NZSAeDP7fyflzQAaivuc0IE,13634
matplotlib/mpl-data/sample_data/None_vs_nearest-pdf.png,sha256=5CPvcG3SDNfOXx39CMKHCNS9JKZ-fmOUwIfpppNXsQ0,106228
matplotlib/mpl-data/sample_data/README.txt,sha256=c8JfhUG72jHZj6SyS0hWvlXEtWUJbjRNfMZlA85SWIo,130
matplotlib/mpl-data/sample_data/aapl.npz,sha256=GssVYka_EccteiXbNRJJ5GsuqU7G8F597qX7srYXZsw,107503
matplotlib/mpl-data/sample_data/ada.png,sha256=X1hjJK1_1Nc8DN-EEhey3G7Sq8jBwQDKNSl4cCAE0uY,308313
matplotlib/mpl-data/sample_data/axes_grid/bivariate_normal.npy,sha256=DpWZ9udAh6ospYqneEa27D6EkRgORFwHosacZXVu98U,1880
matplotlib/mpl-data/sample_data/ct.raw.gz,sha256=LDvvgH-mycRQF2D29-w5MW94ZI0opvwKUoFI8euNpMk,256159
matplotlib/mpl-data/sample_data/data_x_x2_x3.csv,sha256=IG7mazfIlEyJnqIcZrKBEhjitrI3Wv35uVFVV6hBgMo,143
matplotlib/mpl-data/sample_data/demodata.csv,sha256=jswIPVUGO-gMkpzyA73BzR3rpwUabVl30SXVrMzZvx0,670
matplotlib/mpl-data/sample_data/eeg.dat,sha256=KGVjFt8ABKz7p6XZirNfcxSTOpGGNuyA8JYErRKLRBc,25600
matplotlib/mpl-data/sample_data/embedding_in_wx3.xrc,sha256=IcJ5PddMI2wSxlUGUUv3He3bsmGaRfBp9ZwEQz5QTdo,2250
matplotlib/mpl-data/sample_data/goog.npz,sha256=QAkXzzDmtmT3sNqT18dFhg06qQCNqLfxYNLdEuajGLE,22845
matplotlib/mpl-data/sample_data/grace_hopper.jpg,sha256=qMptc0dlcDsJcoq0f-WfRz2Trjln_CTHwCiMPHrbcTA,61306
matplotlib/mpl-data/sample_data/grace_hopper.png,sha256=MCf0ju2kpC40srQ0xw4HEyOoKhLL4khP3jHfU9_dR7s,628280
matplotlib/mpl-data/sample_data/jacksboro_fault_dem.npz,sha256=1JP1CjPoKkQgSUxU0fyhU50Xe9wnqxkLxf5ukvYvtjc,174061
matplotlib/mpl-data/sample_data/logo2.png,sha256=ITxkJUsan2oqXgJDy6DJvwJ4aHviKeWGnxPkTjXUt7A,33541
matplotlib/mpl-data/sample_data/membrane.dat,sha256=q3lbQpIBpbtXXGNw1eFwkN_PwxdDGqk4L46IE2b0M1c,48000
matplotlib/mpl-data/sample_data/msft.csv,sha256=4JtKT5me60-GNMUoCMuIDAYAIpylT_EroyBbGh0yi_U,3276
matplotlib/mpl-data/sample_data/percent_bachelors_degrees_women_usa.csv,sha256=Abap-NFjqwp1ELGNYCoTL4S5vRniAzM5R3ixgEFFpTU,5723
matplotlib/mpl-data/sample_data/s1045.ima.gz,sha256=MrQk1k9it-ccsk0p_VOTitVmTWCAVaZ6srKvQ2n4uJ4,33229
matplotlib/mpl-data/sample_data/topobathy.npz,sha256=AkTgMpFwLfRQJNy1ysvE89TLMNct-n_TccSsYcQrT78,45224
matplotlib/mpl-data/stylelib/Solarize_Light2.mplstyle,sha256=uU84qox3o_tHASXoKLR6nBJmJ9AS0u7TWXxTFZx9tjA,1308
matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle,sha256=9XRyb2XzCtS6piLIYFbNHpU-bF4f7YliWLdbLXvBojI,173
matplotlib/mpl-data/stylelib/bmh.mplstyle,sha256=UTO__T6YaaUY6u5NjAsBGBsv_AOK45nKi1scf-ORxzU,741
matplotlib/mpl-data/stylelib/classic.mplstyle,sha256=HZfPeokxDqwLhhck_tGh8ugTbjMpxqJsW1r_lo0TZis,24713
matplotlib/mpl-data/stylelib/dark_background.mplstyle,sha256=Vei27QYOP3dNTaHzmRYneNLTCw30nE75JOUDYuOjnXc,687
matplotlib/mpl-data/stylelib/fast.mplstyle,sha256=HDqa0GATC9GjNeRA8rYiZM-qh7hTxsraeyYziGlbgzg,299
matplotlib/mpl-data/stylelib/fivethirtyeight.mplstyle,sha256=IfXwiatqkv6rkauNnjcfDDS6pU-UabtEhbokK5-qAes,872
matplotlib/mpl-data/stylelib/ggplot.mplstyle,sha256=pWh3RqvTy3fyP_aGOa1TR7NMAi5huuWDJRPeZM5kR3o,996
matplotlib/mpl-data/stylelib/grayscale.mplstyle,sha256=MnigXJy2ckyQZuiwb-nCXQ0-0cJBz1WPu-CEJXEHWpA,555
matplotlib/mpl-data/stylelib/seaborn-bright.mplstyle,sha256=DIo92H5LVQVPMeJOcVaOPOovchqMeDvkKoEQ0BX--wA,147
matplotlib/mpl-data/stylelib/seaborn-colorblind.mplstyle,sha256=M7OYVR1choIo_jlDfMsGSADJahLDauZEOUJJpuDK8Hs,151
matplotlib/mpl-data/stylelib/seaborn-dark-palette.mplstyle,sha256=HLb5n5XgW-IQ8b5YcTeIlA1QyHjP7wiNPAHD2syptW4,145
matplotlib/mpl-data/stylelib/seaborn-dark.mplstyle,sha256=IZMc2QEnkTmbOfAr5HIiu6SymcdRbKWSIYGOtprNlDw,697
matplotlib/mpl-data/stylelib/seaborn-darkgrid.mplstyle,sha256=lY9aae1ZeSJ1WyT42fi0lfuQi2t0vwhic8TBEphKA5c,700
matplotlib/mpl-data/stylelib/seaborn-deep.mplstyle,sha256=djxxvf898QicTlmeDHJW5HVjrvHGZEOSIPWgFK0wqpw,145
matplotlib/mpl-data/stylelib/seaborn-muted.mplstyle,sha256=5t2wew5ydrrJraEuuxH918TuAboCzuCVVj4kYq78_LU,146
matplotlib/mpl-data/stylelib/seaborn-notebook.mplstyle,sha256=g0nB6xP2N5VfW31pBa4mRHZU5kLqZLQncj9ExpTuTi8,403
matplotlib/mpl-data/stylelib/seaborn-paper.mplstyle,sha256=StESYj-S2Zv9Cngd5bpFqJVw4oBddpqB3C5qHESmzi8,414
matplotlib/mpl-data/stylelib/seaborn-pastel.mplstyle,sha256=8KO6r5H2jWIophEf7XJVYKyrXSrYGEn2f1F_KXoEEIc,147
matplotlib/mpl-data/stylelib/seaborn-poster.mplstyle,sha256=8xZxeZiSX2npJ-vCqsSsDcc4GeFrXwfrSNu0xXfA2Uk,424
matplotlib/mpl-data/stylelib/seaborn-talk.mplstyle,sha256=_c29c8iDdsCMNVERcHHwD8khIcUVxeuoHI2o1eE0Phg,424
matplotlib/mpl-data/stylelib/seaborn-ticks.mplstyle,sha256=Annui6BdMJqYZsIGCkdmk88r4m_H4esa7bSszkBpm-A,695
matplotlib/mpl-data/stylelib/seaborn-white.mplstyle,sha256=VY6sw8wkqbl0leWtWa5gz8xfDMfqt5yEhITIjP4FsOI,695
matplotlib/mpl-data/stylelib/seaborn-whitegrid.mplstyle,sha256=IOm2H1utXO_zR7FWqMLBiRxHyxABL3kq1fh0-6BDJ0E,694
matplotlib/mpl-data/stylelib/seaborn.mplstyle,sha256=N9lUFHvOn06wT4MODXpVVGQMSueONejeAfCX5UfWrIM,1187
matplotlib/mpl-data/stylelib/tableau-colorblind10.mplstyle,sha256=PzUMoOtw0V6l0bPk8ApRAKvcxdJmzRU2bVOkNqz8DnU,192
matplotlib/offsetbox.py,sha256=zdr7NNI2l9Er6G1i7OgH2ZhrwbTpQO10yI-ZqpmbIsk,61753
matplotlib/patches.py,sha256=-sEU_HwmsPle-Vo_OlfQrYEoswovpqpDi1AigE5z2Q4,153320
matplotlib/path.py,sha256=SdnGJGVPVIiBJALUR7UpNRNO0qNFjT05dKp2w2PiPWE,40487
matplotlib/patheffects.py,sha256=sFJ-GfsPwdF-eS5273bgseShb01-hFkTEhdbtIHkGig,13975
matplotlib/projections/__init__.py,sha256=yaWM60AYTHz3geKwIwnp-dDaAhvaKSlj65uZFDJNe70,1728
matplotlib/projections/__pycache__/__init__.cpython-36.pyc,,
matplotlib/projections/__pycache__/geo.cpython-36.pyc,,
matplotlib/projections/__pycache__/polar.cpython-36.pyc,,
matplotlib/projections/geo.py,sha256=_njFHfRBw8RNrej5WcOg3qcstFVaDak6f1MjSl62kXA,17967
matplotlib/projections/polar.py,sha256=iqynlkWG_heAjb3eoLxj-f13y3SjxipzbbwlulsseXo,55707
matplotlib/pylab.py,sha256=NUr7XkQQSQwKS-l1z1ur54YcZJLN_mgbtsagAuPKz68,1742
matplotlib/pyplot.py,sha256=1hcTG7XEIjzfDQRkSd3KnDZVItIVj6wAT9TNIP_DIW0,119057
matplotlib/quiver.py,sha256=cprVfYoP0UEglSroDqfqukjj4lwYtdDavyZfyF46S_s,48503
matplotlib/rcsetup.py,sha256=0Aj8RaT2e_TOCxRu5A9Th7VuNTXh7iEXwuTtS1TZBfU,58761
matplotlib/sankey.py,sha256=U5F9LUBI9GoC4PyHJg11Ow7pmZIbwqiX9-CPANH-V5g,37159
matplotlib/scale.py,sha256=Aiy1JJpllbTg5mlFWmut7Q5GWRLrg-8B7OIMukrWlWU,24311
matplotlib/sphinxext/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
matplotlib/sphinxext/__pycache__/__init__.cpython-36.pyc,,
matplotlib/sphinxext/__pycache__/mathmpl.cpython-36.pyc,,
matplotlib/sphinxext/__pycache__/plot_directive.cpython-36.pyc,,
matplotlib/sphinxext/mathmpl.py,sha256=yY0d7NsVcFiujAadP44DMesGp2Zyhz3USYjsznq4WDU,3885
matplotlib/sphinxext/plot_directive.py,sha256=8XX4AJ1Na44_O3btZpOIG9oE9zN0z8q3TOwDhZvwnj8,27024
matplotlib/spines.py,sha256=gyEYiuxVnXx6ewwqiB4j-L4hkcoQqifL5R_-5okWowM,20759
matplotlib/stackplot.py,sha256=KaB8W5_SVSQeN4bVXhh5wnyu61ZEKJPV5ISOpWIccao,4025
matplotlib/streamplot.py,sha256=qEVUKdQqgEIO8PGeEEjA_NVLISA09P0G3YPNlPhmOtA,23619
matplotlib/style/__init__.py,sha256=Lee0QNI5VNg45wfj5h5w5_PhaBOq8zDPrDtqnpJfFWI,68
matplotlib/style/__pycache__/__init__.cpython-36.pyc,,
matplotlib/style/__pycache__/core.cpython-36.pyc,,
matplotlib/style/core.py,sha256=PkT0m0NfFi8UjYcL1PLTE7tbYe9pJkuwpDMqBiXdnng,8724
matplotlib/table.py,sha256=9GTl9lNFQX7RF0SrC5gaO0CBHFnVFzLhoVCWNPQ2EwY,27382
matplotlib/testing/__init__.py,sha256=5A2r174QGv1RzXQovaJzdx4ZuLTtb9lGfEWTRuzncc8,1454
matplotlib/testing/__pycache__/__init__.cpython-36.pyc,,
matplotlib/testing/__pycache__/compare.cpython-36.pyc,,
matplotlib/testing/__pycache__/conftest.cpython-36.pyc,,
matplotlib/testing/__pycache__/decorators.cpython-36.pyc,,
matplotlib/testing/__pycache__/disable_internet.cpython-36.pyc,,
matplotlib/testing/__pycache__/exceptions.cpython-36.pyc,,
matplotlib/testing/__pycache__/widgets.cpython-36.pyc,,
matplotlib/testing/compare.py,sha256=16h0JgcJJTXJ4M5Y3au-Qv8b30Amlmnene61XPdu7ag,17453
matplotlib/testing/conftest.py,sha256=4SsbLZYORUGz9GBDDqVVt-JTVXUe_RO2zfYeZ0f3VQY,5704
matplotlib/testing/decorators.py,sha256=fCXaMvJJ6up0WMpbmpdzXEhW6y72TVEBRnnrLQPwKtU,19219
matplotlib/testing/disable_internet.py,sha256=iJ6yi2K3Irql3VRpB37B6dV8jF8ppR-9bIJ7CSLbiSY,5064
matplotlib/testing/exceptions.py,sha256=rTxMs5B6lKjXH6c53eVH7iVPrG5Ty7wInRSgzNiMKK4,142
matplotlib/testing/jpl_units/Duration.py,sha256=6hE7fLS4BUeCidjlXrNpk9LJ1Y37KaW-Bgg-uYUZeYo,4623
matplotlib/testing/jpl_units/Epoch.py,sha256=dJL3tvga_kHuW7YYy10PYw5Bw9_XditGf1AQiAw2m6s,6582
matplotlib/testing/jpl_units/EpochConverter.py,sha256=-mQ_6zbsgGvoka6JAnzoFk8V6ggWmlizJl4kgR6fhXI,3264
matplotlib/testing/jpl_units/StrConverter.py,sha256=wewzDhcl1A2kG0MHtwrCGqWqhsUz-TfIxzMSpXbqjro,3053
matplotlib/testing/jpl_units/UnitDbl.py,sha256=CNUbYh_us3Fbf7Eg5O4mWcBXT-zsjfsJ3dGJaemWp98,7873
matplotlib/testing/jpl_units/UnitDblConverter.py,sha256=dkLzijhvoXNR-pOwYHGN_TSkpw1yV-88B31Xitzo1ho,3190
matplotlib/testing/jpl_units/UnitDblFormatter.py,sha256=3ZrRTulxYh-fTRtSpN9gCFqmyMA_ZR2_znkQjy3UCJc,709
matplotlib/testing/jpl_units/__init__.py,sha256=gdnES2cnASttTSfKQn-g400gQ0dDZAQ_Kn09J_HyFJY,2760
matplotlib/testing/jpl_units/__pycache__/Duration.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/Epoch.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/EpochConverter.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/StrConverter.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/UnitDbl.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/UnitDblConverter.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/UnitDblFormatter.cpython-36.pyc,,
matplotlib/testing/jpl_units/__pycache__/__init__.cpython-36.pyc,,
matplotlib/testing/widgets.py,sha256=JN-ZY_GWrBYM7-WJl_EnJVB7EwwNUPoueZg2tLveg80,1566
matplotlib/tests/__init__.py,sha256=y2ftcuJhePrKnF_GHdqlGPT_SY-rhoASd2m4iyHqpfE,376
matplotlib/tests/__pycache__/__init__.cpython-36.pyc,,
matplotlib/tests/__pycache__/conftest.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_afm.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_agg.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_agg_filter.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_animation.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_arrow_patches.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_artist.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_axes.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_bases.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_cairo.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_nbagg.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_pdf.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_pgf.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_ps.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_qt.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_svg.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_tk.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_tools.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backend_webagg.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_backends_interactive.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_basic.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_bbox_tight.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_category.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_cbook.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_collections.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_colorbar.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_colors.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_compare_images.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_constrainedlayout.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_container.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_contour.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_cycles.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_dates.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_determinism.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_dviread.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_figure.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_font_manager.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_fontconfig_pattern.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_gridspec.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_image.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_legend.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_lines.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_marker.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_mathtext.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_matplotlib.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_mlab.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_offsetbox.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_patches.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_path.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_patheffects.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_pickle.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_png.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_polar.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_preprocess_data.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_pyplot.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_quiver.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_rcparams.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_sankey.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_scale.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_simplification.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_skew.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_sphinxext.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_spines.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_streamplot.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_style.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_subplots.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_table.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_testing.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_texmanager.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_text.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_ticker.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_tightlayout.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_transforms.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_triangulation.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_ttconv.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_type1font.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_units.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_usetex.cpython-36.pyc,,
matplotlib/tests/__pycache__/test_widgets.cpython-36.pyc,,
matplotlib/tests/conftest.py,sha256=tjbU0uzdD8q4j30uWm-lzYfZCjqFYRAF_-WMhA3O0qY,262
matplotlib/tests/test_afm.py,sha256=afU9PfGYjm_WdfwGvoTfjTLgMxx_Vpn26wCDaWuFrg0,3847
matplotlib/tests/test_agg.py,sha256=WA7gzi_zRxh_jPcmkf8ZO1p_NQry5__qF9GLzK8-obE,7675
matplotlib/tests/test_agg_filter.py,sha256=i8Wv2oXmvi-m6020p_k8C3BCJ9UB6tBVSVNsul5NEaQ,999
matplotlib/tests/test_animation.py,sha256=BS59_1os6n3Dm18njppZrO70Siqufwg2EMn5WUO0M_k,8628
matplotlib/tests/test_arrow_patches.py,sha256=0w0X1vPHRd__DOy2oVrYupG9Rk-EuWzyiet4piB4bF8,5820
matplotlib/tests/test_artist.py,sha256=2wZZaSk04a1BWHcycnd1SSDy_QxKEUCeKS8yOCv-ijQ,9340
matplotlib/tests/test_axes.py,sha256=Wsd__JvtGmvymBNHszuvg3-ZbJo9y2ZXz1AsR-qB9jc,216653
matplotlib/tests/test_backend_bases.py,sha256=wWnNPhja06EFHkK6G7BP6LxsdXV5mvyEnqcWGdXcAQk,6094
matplotlib/tests/test_backend_cairo.py,sha256=2jejOSazlpDheGuSBe2C6R2D37bMjmMy3Ds2NRCzFnA,1869
matplotlib/tests/test_backend_nbagg.py,sha256=rfFHvT0YhzBMdm-t3P-GBRKi-ZWgjTXie_Zuo6pngt0,935
matplotlib/tests/test_backend_pdf.py,sha256=smPXlrcaA1jwSrSbvk7OU5Swx95KpVTZJPiy4jWrAUs,8941
matplotlib/tests/test_backend_pgf.py,sha256=mmZwFn0289xZER-QSspcpP2uloXtb__YJsf4IpRSsrw,10646
matplotlib/tests/test_backend_ps.py,sha256=zTd9xtJ74PN8ayuTCFSHKuzPGtO2WHkNbGkeW3VQzbc,4723
matplotlib/tests/test_backend_qt.py,sha256=Wptn99GISjKld3R_14o3EIWtfUBCWbd1vEjbrGDW_10,9508
matplotlib/tests/test_backend_svg.py,sha256=R8AnTHOc8Rf9AOoyK4pTcBTDwM_CaK3Q_NTPzpVVCJc,12841
matplotlib/tests/test_backend_tk.py,sha256=roCO6jRKhyXYLg_-pA1LFGS77S_f0ZZ9ZAs7GqVsjXA,1443
matplotlib/tests/test_backend_tools.py,sha256=6StNyy5SGVdfh1r-UwXyQnMg_XJCiXL_hC40HehT-zA,521
matplotlib/tests/test_backend_webagg.py,sha256=lQP6u1Vq8eV_9a7AnUzv58ORFdwXC9ggVZq2FfS6nto,729
matplotlib/tests/test_backends_interactive.py,sha256=icuX1A-AKY6AK-JrYQUJX888asmgzPEfe-vBsBOJpz4,8102
matplotlib/tests/test_basic.py,sha256=MEGWm3w6inz0KHFArFPWTJXneX7_-o53Wf38GdcWXwg,1254
matplotlib/tests/test_bbox_tight.py,sha256=4Hie2haP7to5h0h4OKe6TgCTcBXqXU5GRiHHgdn7S68,5090
matplotlib/tests/test_category.py,sha256=vrQUEqupQziRmUyuT0vyuZUM9HVxRk9Gg2A2Ka1uujM,10501
matplotlib/tests/test_cbook.py,sha256=PCHmdqO2JAdzIeSr7X5zY9OsfMIFp7WzeKd6L_QpPIA,25394
matplotlib/tests/test_collections.py,sha256=PE-L1D_z-XaGwFgnu2DOkXClJrw5pxx1HY1lHgPfEMU,23670
matplotlib/tests/test_colorbar.py,sha256=IAbC_fC_wr3gthL_ezyKIN7BwnMCQTwB7zjFeV96aRQ,23263
matplotlib/tests/test_colors.py,sha256=YxpvtFxL2fVnAkQVYcI1b9VhenWF65vXwl1uJkAc6so,41833
matplotlib/tests/test_compare_images.py,sha256=twmG-C7CB9EZpA9ogy6YrCtgH1TJZMj2sBjFaxeZx7M,3366
matplotlib/tests/test_constrainedlayout.py,sha256=bwvGUepfjWEFfQDPgz5sE6QHn7OTJRGtXtfnkYgLYW4,13453
matplotlib/tests/test_container.py,sha256=QgNodtC50-2SyP_8coGyp1nQsmLKhfivlJrfX4cujds,580
matplotlib/tests/test_contour.py,sha256=v7nnoXzpkS1sAZZ4WtQ_otYkNJz0EGAHdCF5W1EUpXE,14229
matplotlib/tests/test_cycles.py,sha256=7SnFRFaoAB9B77dtNkiDCBwr6QsQA4sSOQZxkzYZmYs,5820
matplotlib/tests/test_dates.py,sha256=0d14ZtzF6oYQUXWCQ_kg0A1qeaM_p3vP9qogUhg9d-k,39907
matplotlib/tests/test_determinism.py,sha256=vIsFXA2_4Wa3s2CxptfzjbvqYdtJASN0GjWHTEgqZr8,4729
matplotlib/tests/test_dviread.py,sha256=USbWVyR1pY5HMuoHEHWgfBaCojUQkuxLt-J4gSkwBcw,2378
matplotlib/tests/test_figure.py,sha256=zBewJVqO9xe5_XF6dadZ_2cwkMBp45l0FvqZHiz-Ocs,26386
matplotlib/tests/test_font_manager.py,sha256=ZBCXRukt1fVQVpzrExKWWAZqk4rX6XGvU_uah63uGOk,7831
matplotlib/tests/test_fontconfig_pattern.py,sha256=NeM0UxB4m4fGY2Zq84QoDGyKnEOAcgmi0Cs-VjyFY0I,2091
matplotlib/tests/test_gridspec.py,sha256=JiyMWPmsW_wJc7m4f8b2KRqCKlBSSlUt3LUyhak0heM,997
matplotlib/tests/test_image.py,sha256=Vtsqq5Y4unI29BK3OpZZsGeji--pHQJfjc8ztsFs_CM,36845
matplotlib/tests/test_legend.py,sha256=jzxsQCCdjtb77NrW63ue7EdfANyFCZv7T8fjxERrRfQ,23535
matplotlib/tests/test_lines.py,sha256=qXMwXdKo708S17A31-C8U-dCcjZfsyg3uuMdZXN-PLM,8602
matplotlib/tests/test_marker.py,sha256=ixsrer_pKNc6vU7Idu_QrlUPSgHlZgYFGut2f3w9pP4,6612
matplotlib/tests/test_mathtext.py,sha256=E0ZXbgGTazCLUXxSgifv6YmRwTPft7reW1nnUemlC14,15173
matplotlib/tests/test_matplotlib.py,sha256=FgFg2Yym_bjlb0gtG1pcs14DPyUIMB7tRVtbiMieEQo,1499
matplotlib/tests/test_mlab.py,sha256=-nRS28Dc9_XyVK3mmFRInJUc3gU9hBS6BDRaIW2-tmg,67393
matplotlib/tests/test_offsetbox.py,sha256=Kx9DM2-C6REmqFN5GTO9xDL5vYYsISsO6e3pjzz9xpY,11136
matplotlib/tests/test_patches.py,sha256=09GJ6ElUqYnSE_Areb_hZwwFfe-kLOF4DZLtPJQFMGY,19838
matplotlib/tests/test_path.py,sha256=-85BmXlJRb9GBUK3mijnbhBjzDxkKcy8E1zBdc7hGRo,16733
matplotlib/tests/test_patheffects.py,sha256=gZEisNhkiVXG20buNgTV1Z4x0sfTP-C4_wK6ylAIiBs,5336
matplotlib/tests/test_pickle.py,sha256=f_d79RREQTbn1FVFPbTqypIsnW4vxPcanwsfd-jreDo,5831
matplotlib/tests/test_png.py,sha256=W_Otlwm8zTB17LRYObVh9CdNe3hut6XV7LGbWypPJeg,1352
matplotlib/tests/test_polar.py,sha256=8l4RGgsUgKIeYmPtlu6nWzEJjjRB38xUaii3vkLKpW0,12082
matplotlib/tests/test_preprocess_data.py,sha256=D82rQiZBljpK3ggYJgcNTkszgiXGJLv11HsOm8WdHP4,10573
matplotlib/tests/test_pyplot.py,sha256=YQXJd8U460zL3wSIRhuS4WfvdeHTDOHcUd7rhVrGoPs,2564
matplotlib/tests/test_quiver.py,sha256=gyqDugeUL8gOnMXTvtd-GHI99usI7L5FDvfvLDuJCLU,8321
matplotlib/tests/test_rcparams.py,sha256=0qWFMCXfetscfFzEicsVrl9jgNZAPeUQjytuYseO6DY,19765
matplotlib/tests/test_sankey.py,sha256=Eo3IScGRi0pvO4zcFj3STd3UWSzmfXKiHkk_GZsJ2TQ,322
matplotlib/tests/test_scale.py,sha256=S7lWUqoySkltqDuon7PzPtG-CBVqBcDIWdQ8cuS6B5U,5865
matplotlib/tests/test_simplification.py,sha256=dt0mnYH7Iy059fIpG1WMd4W-mEBGrk74RtCxzgr1vkI,11393
matplotlib/tests/test_skew.py,sha256=1fVVQkXDPq9KwzpWY7RA1inpNHNmTMUNQxxvm_eKB3A,6475
matplotlib/tests/test_sphinxext.py,sha256=PcrAosOag3sZrW00QoJobUHaV28Vn4GFaSY0ljD19Y4,2023
matplotlib/tests/test_spines.py,sha256=qYJoX052KdKhtAXTIPNWEi_BqfHhVEQXhA92UcOObBg,3226
matplotlib/tests/test_streamplot.py,sha256=c9Tf85Pc2pJlWRA5AgJ64XHHbi3fsySUoDCIjUrwKnM,3936
matplotlib/tests/test_style.py,sha256=Xm9v8NSieC69Rnd_rGXUG_6SOdNPE7Gr--nMKI5nBbc,5905
matplotlib/tests/test_subplots.py,sha256=zDMNiClqpFPUsThIgfyrksP3gls_ylygz6JSvMNy8pE,6155
matplotlib/tests/test_table.py,sha256=Qs0eUsDGfNIqMMnLPDj412deLm7UxQb0wXml5fZoV-0,5925
matplotlib/tests/test_testing.py,sha256=s8XUis7Li46dxTs0ErnLdiYHmudmllzsw2B0Bcu1SCU,653
matplotlib/tests/test_texmanager.py,sha256=IoCMn9UcYSngl3m_nlWrDV9BZrNrtOiM2P5s5ULSb4w,475
matplotlib/tests/test_text.py,sha256=6hqNw62WHVi21Bm2oD-xdCRj5eyhIpWgjr-kHcaMfiA,22739
matplotlib/tests/test_ticker.py,sha256=C0pc1h7FnMG1tf9B8W4g0n9B410OacvfZGPqmubCXmQ,52438
matplotlib/tests/test_tightlayout.py,sha256=uS2TuGzXl0RyDVbxiJk68IPG6Lvdc768uEVW8bjCaZw,10634
matplotlib/tests/test_transforms.py,sha256=DjlW9PJStojWJDFQBWnFRXNvQ4HPL5SUMQUoxpIZiUk,27982
matplotlib/tests/test_triangulation.py,sha256=UwE8TMEKR_Q3tPi_3CVfN5PVGjb7hB641TiL-Drkf-g,47111
matplotlib/tests/test_ttconv.py,sha256=MwDVqn8I2a09l7sN9vfluhABCpzoPasZOzrvoadYn8o,557
matplotlib/tests/test_type1font.py,sha256=WHGvm7UADbY4Bislu7aTs-qonmYU_TyP4mCBWG6RR1Y,2139
matplotlib/tests/test_units.py,sha256=BnJsIzwucyJb7WO7cXeXs9cvow48wmXl2q0Xz6igLJs,5889
matplotlib/tests/test_usetex.py,sha256=4XmyxMcUWniqTGx0KGAGEo7E_6Qz18_qZEzWg74gOoM,2985
matplotlib/tests/test_widgets.py,sha256=W7-t8XqjYvUkif10wVsoDteQQgiu32k55tz9RDuSCTk,16623
matplotlib/texmanager.py,sha256=yDycQwJ014_j6SaZiHWe0tDEhDHhrY7QA-07xiSsn-c,16295
matplotlib/text.py,sha256=YiUOb5wY1tf1gh8r4w2Y2cE3MIj6M24Sa2drtyQAGOE,67943
matplotlib/textpath.py,sha256=U0SSfiAb6CFPAp0eLWj4jR5-lCEpLRdtyWSZzrFlkB0,15421
matplotlib/ticker.py,sha256=XL31WXTR5NiIoW_o9YPMkhB_sN80BVMKmoLQfKzGk64,107299
matplotlib/tight_bbox.py,sha256=3nPRkvIogLL6n-ZJPPRsOLCC_cZBEmgKAsJfvhC9xQk,3023
matplotlib/tight_layout.py,sha256=wv_8EjQTMhXDCSTjFZTBOmzvUKAVuYt1q1LDqiyk72s,13494
matplotlib/transforms.py,sha256=guwKIhVDmgbxtf86msod0KZhMvWoSbcAnQ663a9_Wqw,99721
matplotlib/tri/__init__.py,sha256=mXgRgH1EgncFGFKziNNW2C6zp0VEHtuhWZAQ6MKctJg,268
matplotlib/tri/__pycache__/__init__.cpython-36.pyc,,
matplotlib/tri/__pycache__/triangulation.cpython-36.pyc,,
matplotlib/tri/__pycache__/tricontour.cpython-36.pyc,,
matplotlib/tri/__pycache__/trifinder.cpython-36.pyc,,
matplotlib/tri/__pycache__/triinterpolate.cpython-36.pyc,,
matplotlib/tri/__pycache__/tripcolor.cpython-36.pyc,,
matplotlib/tri/__pycache__/triplot.cpython-36.pyc,,
matplotlib/tri/__pycache__/trirefine.cpython-36.pyc,,
matplotlib/tri/__pycache__/tritools.cpython-36.pyc,,
matplotlib/tri/triangulation.py,sha256=1Lw9tarP_KKZ8YQ9q_IgfPVbJrz3P86QYAK24dhOtzI,8546
matplotlib/tri/tricontour.py,sha256=J5dPX6U5uqSuVChF2k8IznFVubzicoD3abcY5wRHzmE,11635
matplotlib/tri/trifinder.py,sha256=1js01EAwh4I6uxFkQrrjozLxCJynlazZ0POamc-Ujfc,3561
matplotlib/tri/triinterpolate.py,sha256=ODGAV7QauNe5-jKvzet9wiVp3kPYyHNlmOM42zI5wkg,65986
matplotlib/tri/tripcolor.py,sha256=ySM-FzC0KRaz2XpAOh1B8x78qLRNzoa3gKSV4gC0_Rc,5138
matplotlib/tri/triplot.py,sha256=iiS5jMj9P1LCuzQm_T5PLh8UXhQqTn7NSlHquiQK1dg,2845
matplotlib/tri/trirefine.py,sha256=4mY037ghrhtOLE0_MW-f_KEbsgYXQ_buwxIGhgnYMiQ,13529
matplotlib/tri/tritools.py,sha256=3MZ4E4xgXHuOUQmY_o0Py4hJ54Dm9Q5tRwwYpBeFmAs,10842
matplotlib/ttconv.py,sha256=qZFAggBaXK9jMpA5YkRb2G7AyK9avcuxA6o4VbQLUKM,248
matplotlib/type1font.py,sha256=bbwW3TLCfXUTilJmWXFE_KtnoJNrtw-M7e9LHUiW5Cw,12663
matplotlib/units.py,sha256=HpMVm8uMp4JiL3wJDMDOH0MiqxVLRUy6WD2Iizs8BLU,7497
matplotlib/widgets.py,sha256=fj5fyhbA4E0OojTRvBubazBoNkgy31PDbyumBxOtmBI,95922
mpl_toolkits/axes_grid/__init__.py,sha256=3oKEqnq1Mee3hQEmxRcIxO3iS1WeYE_cJ5gZoIXFqUY,548
mpl_toolkits/axes_grid/__pycache__/__init__.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/anchored_artists.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/angle_helper.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axes_divider.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axes_grid.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axes_rgb.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axes_size.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axis_artist.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axisline_style.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/axislines.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/clip_path.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/colorbar.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/floating_axes.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/grid_finder.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/grid_helper_curvelinear.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/inset_locator.cpython-36.pyc,,
mpl_toolkits/axes_grid/__pycache__/parasite_axes.cpython-36.pyc,,
mpl_toolkits/axes_grid/anchored_artists.py,sha256=TDvJzLlt85cfXoiT1Yk4j0DEw_6HXeV6zb-tAdPP3zs,297
mpl_toolkits/axes_grid/angle_helper.py,sha256=f77E-aQao6GkJfpEGmLAvpWgFkktkIV9d8YXVsDfsBQ,52
mpl_toolkits/axes_grid/axes_divider.py,sha256=Sa_hLFBUH6F6P4apbj_9RQQJS-LfK8kMKe1U5AvHYqE,181
mpl_toolkits/axes_grid/axes_grid.py,sha256=k7q2Tuf5yr29lDqK9DhixFgDi9R0G2ZQT__paXthg34,91
mpl_toolkits/axes_grid/axes_rgb.py,sha256=V691yLhii-qIdxPFDoRF-28h-IINq1CDHUWa_fPmqDY,48
mpl_toolkits/axes_grid/axes_size.py,sha256=SV0uHhIRHVYpGIZdw3gb8T4jvh0G24KPUPr11x9TGbY,49
mpl_toolkits/axes_grid/axis_artist.py,sha256=VuHYa0LaHdU1YKDIir03ykI64Wd1zSYhnXuUEiIatAk,51
mpl_toolkits/axes_grid/axisline_style.py,sha256=o2aVaavBc62VLXVYZCStRjGktDD8rfkwxwXTHJuKb-U,54
mpl_toolkits/axes_grid/axislines.py,sha256=JFEkMHiAfYPEK1M3atZwmnMAn6KcgoUQALk0aApbvZw,49
mpl_toolkits/axes_grid/clip_path.py,sha256=uSPvk9ovfA9UkX2fPAoLJPA4nBOEB27HaEKb4M-tpdI,49
mpl_toolkits/axes_grid/colorbar.py,sha256=o2y9Q9Vk4xziksEVaCbmlA41JleaqXITkargdew4u-U,176
mpl_toolkits/axes_grid/floating_axes.py,sha256=tQxJJwFSBxNDcZCWjLDKIQ3Ck81TkJuErE_wbbwIbN0,53
mpl_toolkits/axes_grid/grid_finder.py,sha256=YrtbbCgHY71Cowpc0TJOxTTyg-vwJSsuL0iRXogOllI,51
mpl_toolkits/axes_grid/grid_helper_curvelinear.py,sha256=yh_X2vXTRUuGbrQxynWOO400T3Sifsxl5oFmNdrinrU,63
mpl_toolkits/axes_grid/inset_locator.py,sha256=lvj8PMLvtLz0YA2KIUG6edwwI3zC0qbHo0V5ZPG-eKc,220
mpl_toolkits/axes_grid/parasite_axes.py,sha256=cH5AdjQhngqXD_9-FALVW48GwLw9LvtBMkjXY9vvoK0,448
mpl_toolkits/axes_grid1/__init__.py,sha256=Dj6jFICuj-u5Om3DuZvW_9BQC2-dXXz06xhFNZQCmlo,209
mpl_toolkits/axes_grid1/__pycache__/__init__.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/anchored_artists.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/axes_divider.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/axes_grid.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/axes_rgb.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/axes_size.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/colorbar.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/inset_locator.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/mpl_axes.cpython-36.pyc,,
mpl_toolkits/axes_grid1/__pycache__/parasite_axes.cpython-36.pyc,,
mpl_toolkits/axes_grid1/anchored_artists.py,sha256=K36y4695wWBdr-UUJ2xWBm3StMWZH23c_SdzLHH0BMQ,20730
mpl_toolkits/axes_grid1/axes_divider.py,sha256=otSCDY3RHMqL-JH5Wvwe_ZA5vNuhMvY33qGW-ZXEep4,26561
mpl_toolkits/axes_grid1/axes_grid.py,sha256=RaoJpq3lXVAeKCaH7s2cmGh8-Yw4cjLtK2qxkDVX8d4,24226
mpl_toolkits/axes_grid1/axes_rgb.py,sha256=78d239ySNQX3Dl03-3nwxeqjCgTYJs3ZQ9bzSU4HM4k,5339
mpl_toolkits/axes_grid1/axes_size.py,sha256=RaAcOUa4o3uGQGueeLhKDdlMn3E9hUjvXCQzmTtQBYg,7822
mpl_toolkits/axes_grid1/colorbar.py,sha256=Oi4TvfoOmI7n11HSWcwXZ9a53g7IbBZPrW-l9UHN8yM,28718
mpl_toolkits/axes_grid1/inset_locator.py,sha256=vkPbxOMbq9hzvFn1VrweexDtG_lm4xSl8HoG36NjI7Y,23765
mpl_toolkits/axes_grid1/mpl_axes.py,sha256=zIyP1XxXI1WqIbtT2v-9BbwBdx89hdZ2Tyg-X6MaDLk,4514
mpl_toolkits/axes_grid1/parasite_axes.py,sha256=J-j_RvJd7js57ybEslbKIEvciaVcIKb04e6tbBYqpXQ,14832
mpl_toolkits/axisartist/__init__.py,sha256=Aa_vsf6h8XO-YR-IDQckhtAN6HBFA8-3nnGEGKhV6hU,730
mpl_toolkits/axisartist/__pycache__/__init__.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/angle_helper.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/axes_divider.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/axes_grid.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/axes_rgb.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/axis_artist.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/axisline_style.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/axislines.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/clip_path.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/floating_axes.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/grid_finder.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/grid_helper_curvelinear.cpython-36.pyc,,
mpl_toolkits/axisartist/__pycache__/parasite_axes.cpython-36.pyc,,
mpl_toolkits/axisartist/angle_helper.py,sha256=p2P2NldZ-n9EM0PAi80PU2Sl3xbPpE5UdzRRr0MgwYQ,13618
mpl_toolkits/axisartist/axes_divider.py,sha256=2ReTIrF3nwwXtxiIchWRjImPLnxeoce8J17Gd8UsbY4,129
mpl_toolkits/axisartist/axes_grid.py,sha256=-BiKRKmUY9SN2YkPwFkbsnrtDCux3HBQV2XbzOrKrrA,365
mpl_toolkits/axisartist/axes_rgb.py,sha256=a2lvQ9MxvXjh9ZXDvzM6VNBA8AGg5xngu_pKAx8PWOc,190
mpl_toolkits/axisartist/axis_artist.py,sha256=dB-QohGsgBE-ifygSGdAB1tZOeBAmiltny0WqomG8qU,43295
mpl_toolkits/axisartist/axisline_style.py,sha256=oCZdSjWsCgs3HwnF9fAWjUyN49prLDxMDXDrwzA2EoY,5192
mpl_toolkits/axisartist/axislines.py,sha256=0HXaSscHdQ_dgME8OKZGwX6XGCfScsYPLXuUAEVeZbE,20322
mpl_toolkits/axisartist/clip_path.py,sha256=fQxXkgaFroThzHHeWDFfYLoAXbYoOsZt1awRFkSPZeY,3895
mpl_toolkits/axisartist/floating_axes.py,sha256=GOhgBLbJg9kHCPwEsxIaNnGkY-XCD6DaZ16ePpesaKg,13233
mpl_toolkits/axisartist/grid_finder.py,sha256=CvALRLYWhBp3bwcQc5heThDZTiEGVHmEq7E5N9ssQS0,11271
mpl_toolkits/axisartist/grid_helper_curvelinear.py,sha256=CEqPWCyRbHrCSjTQhCLlEIJX4DxQXmVtkpNy5ay-stM,14656
mpl_toolkits/axisartist/parasite_axes.py,sha256=Kj-_p0dpdSgnGzElDHtmBW7u8wdka5wfn150rTD4Uy4,425
mpl_toolkits/mplot3d/__init__.py,sha256=-7jYs7BlOeVjnGxLWEfMb93i-vzMi6Hdi9CLsAWOD4k,28
mpl_toolkits/mplot3d/__pycache__/__init__.cpython-36.pyc,,
mpl_toolkits/mplot3d/__pycache__/art3d.cpython-36.pyc,,
mpl_toolkits/mplot3d/__pycache__/axes3d.cpython-36.pyc,,
mpl_toolkits/mplot3d/__pycache__/axis3d.cpython-36.pyc,,
mpl_toolkits/mplot3d/__pycache__/proj3d.cpython-36.pyc,,
mpl_toolkits/mplot3d/art3d.py,sha256=MgozhPS_h7hSM4VwBdEPGiieAN51MojaJYdRDhdSvQU,27006
mpl_toolkits/mplot3d/axes3d.py,sha256=J_r64AVS77Qex9jXyLOYpTYDjFFObyAlohggFF4wY4g,106493
mpl_toolkits/mplot3d/axis3d.py,sha256=14a9N47mqzSNHfnqoPzG8CxBTNsqqkCxBhh2AAP9fOc,19299
mpl_toolkits/mplot3d/proj3d.py,sha256=Lbc0nw5w6Cvune2_kxCwIJ9Gg5VryOD0Ilue_3lU9dY,4441
mpl_toolkits/tests/__init__.py,sha256=jY2lF4letZKOagkrt6B_HnnKouuCgo8hG3saDzq8eGI,375
mpl_toolkits/tests/__pycache__/__init__.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/conftest.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axes_grid.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axes_grid1.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_angle_helper.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_axis_artist.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_axislines.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_clip_path.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_floating_axes.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_grid_finder.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_axisartist_grid_helper_curvelinear.cpython-36.pyc,,
mpl_toolkits/tests/__pycache__/test_mplot3d.cpython-36.pyc,,
mpl_toolkits/tests/conftest.py,sha256=C8DbesGlumOhSREkWrdBGaWu0vchqik17dTokP8aDAA,216
mpl_toolkits/tests/test_axes_grid.py,sha256=0mL0Wgf9QrjrhFOwDMIIKxEzK3FnbX0mS8sU4d6rp1E,2514
mpl_toolkits/tests/test_axes_grid1.py,sha256=suLYN5t9RoT6y0tkSHYh_W8AmXsRzUQUrsmd3tUiils,18571
mpl_toolkits/tests/test_axisartist_angle_helper.py,sha256=SI_lyCLbVKikZp9DRBpq--MbfT10vSQsNx1Z5HMeqMw,5811
mpl_toolkits/tests/test_axisartist_axis_artist.py,sha256=yzGoWLFPlnkCYZKMO5M6KEipnZD0PsWK5UNToX3LaVU,3107
mpl_toolkits/tests/test_axisartist_axislines.py,sha256=KUI4stZL2DRJyKdnv27czKk2qt4wuBQCOV_w59dfR-Q,2535
mpl_toolkits/tests/test_axisartist_clip_path.py,sha256=Hj622Au6sUcrIN6ryWnm9UUxXVd2isWxFZCUo1YicY0,1036
mpl_toolkits/tests/test_axisartist_floating_axes.py,sha256=91QavzOE2xtqTH8VcU68R2Uqg3IALIUI-qwZcCeaG5E,4247
mpl_toolkits/tests/test_axisartist_grid_finder.py,sha256=oNZQ1PoRgpUoWqg8qdvgplZW3iFK6FhXcVS9LxuVqZE,338
mpl_toolkits/tests/test_axisartist_grid_helper_curvelinear.py,sha256=pa5vb6wbkiv404-5b1O83IatUOObww4wbxDh9lSlZes,7729
mpl_toolkits/tests/test_mplot3d.py,sha256=AZ5JHgIb1tJEDyrXC02vi9TteF3JCn9PQ-zsuBuIqrc,36118
pylab.py,sha256=Ni2YJ31pBmyfkWr5WyTFmS1qM40JuEeKrJhYKWbd6KY,93

View file

@ -0,0 +1,5 @@
Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: false
Tag: cp36-cp36m-win32

View file

@ -0,0 +1 @@
mpl_toolkits

View file

@ -0,0 +1,3 @@
matplotlib
mpl_toolkits
pylab