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Add py-hiplot 0.1.3

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HiPlot is a lightweight interactive visualization tool to help AI researchers
discover correlations and patterns in high-dimensional data using parallel plots
and other graphical ways to represent information.

WWW: https://github.com/facebookresearch/hiplot
This commit is contained in:
Sunpoet Po-Chuan Hsieh 2020-02-06 19:25:36 +00:00
parent 44563e6f8d
commit 4dad5da6c6
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=525405
6 changed files with 52 additions and 0 deletions
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1
graphics/Makefile
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@ -809,6 +809,7 @@
SUBDIR += py-graphviz
SUBDIR += py-graphy
SUBDIR += py-gvgen
SUBDIR += py-hiplot
SUBDIR += py-imageio
SUBDIR += py-imageio-ffmpeg
SUBDIR += py-imageio24

29
graphics/py-hiplot/Makefile Normal file
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# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>
# $FreeBSD$
PORTNAME= hiplot
PORTVERSION= 0.1.3
CATEGORIES= graphics python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= High dimensional Interactive Plotting tool
LICENSE= MIT
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}beautifulsoup>=0:www/py-beautifulsoup@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}Flask>=0:www/py-flask@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}Flask-Compress>=0:www/py-flask-compress@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}ipython>=7.0.1:devel/ipython@${PY_FLAVOR}
USES= python:3.6+
USE_PYTHON= autoplist distutils
NO_ARCH= yes
post-patch:
@${MKDIR} ${WRKSRC}/requirements
@${CP} ${FILESDIR}/dev.txt ${FILESDIR}/main.txt ${WRKSRC}/requirements
.include <bsd.port.mk>

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graphics/py-hiplot/distinfo Normal file
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TIMESTAMP = 1581007148
SHA256 (hiplot-0.1.3.tar.gz) = 8f91831edfd7627bc93df33ca37dc8856f426bc9a3cf75aec36aee90b31d745a
SIZE (hiplot-0.1.3.tar.gz) = 16234

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graphics/py-hiplot/files/dev.txt Normal file
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pytest
mypy
ipykernel
wheel
selenium
sphinx
m2r
twine
guzzle_sphinx_theme
pre-commit

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graphics/py-hiplot/files/main.txt Normal file
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ipython>=7.0.1
flask
flask-compress
bs4

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graphics/py-hiplot/pkg-descr Normal file
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HiPlot is a lightweight interactive visualization tool to help AI researchers
discover correlations and patterns in high-dimensional data using parallel plots
and other graphical ways to represent information.
WWW: https://github.com/facebookresearch/hiplot