Saravanan666/pypi-org huggingface dataset:
Package: jtrack
jTrackA lightweight Python utility to allow fast and effective integrations of external reporters (e.g. automated scanners)
with Jira.DescriptionYou are using an automated scanner or QA tool and want it to automatically create/update Jira tickets for your teams?But.. How can my scanner know if the Jira has been already created on a previous scan?
This is where jTrack comes in.jTrack uses a local Sqlite to track the issues that have already been created and then updates the issues OR creates new one if the previous has already been resolved.The logic in a nutshellInstallationPrerequisitesExport the Jira detailsexportJIRA_URL="https://JIRAURL"exportJIRA_USER="JIRA_USER"exportJIRA_PASSWORD="JIRA_PASSWORD"PIP (recommended)pipinstalljtrackManualgitclonehttps://github.com/rotemreiss/jTrack.gitcdjTrack
pipinstall.Recommended Python VersionjTrack was developed and tested only withPython3.UsageShort FormLong FormDescription-h--helpShow this help message and exit-p--projectThe project's name on Jira (e.g. EXAMPLE).-i--identifierA system identifier for the issue (unique key).-s--summaryValue for the summary field.-d--descriptionValue for the description field.-pr--priorityValue for the priority field.-a--attachmentOne or more file paths seperated by comma to be attached-l--labelsJira labels to add to new issues, separated by commas.-j--jira-closed-statusJira statuses that are considered to be closed, defaults to 'Closed' and 'Resolved', separated by commas.-t--jira-typeJira issue type for new tasks, deafults to 'Task'.-se--skip-existingDo nothing if Jira already exists and open.-q--quietDo not print the banner.ExamplesList all optionsjtrack --helpHandle new "event" with the identifier (unique key)domain.comjtrack -p MY_PROJECT -i domain.com -s "This is the subject"With Labelsjtrack -p MY_PROJECT -i domain.com -l SCAN-LABEL, DAILY-SCAN -s "This is the subject"With attachmentjtrack -p MY_PROJECT -i domain.com -s "This is the subject" -a /tmp/scan-results.logReal-life ExamplesWordPress ScannerYou are running a daily security scan for vulnerabilities with a tool likeWPScanand you want to manage all
the results for that domain in one (up-to-date) Jira task:Just pass the domain name as the identifier and the report file as an attachment.Take a look in the examples directory.Subdomain Takeover ScannerSeehttps://github.com/rotemreiss/robusto/blob/master/hooks/_found_hook_jira_exampleRoadmapExtend the options (e.g. support other fields and custom fields)Update description or/and fields and not only attachmentsGeneralize the decision and the action to support other actions (e.g. Slack and other ticketing systems)ContributingFeel free to fork the repository and submit pull-requests.SupportCreate new GitHub issueWant to say thanks? :) Message me onLinkedinLicenseMIT license
Package: jTransliterate
jTransliterate - [Hirag/Katak]ana to Latin/English & Back===========================================================================Sometimes you may want to convert from Hiragana to Katakana, or back again, or...I dunno, maybe you wanna get the English pronunciation of these words. I'llbe honest and say it's of no concern or interest to me, but I needed this inPython and so I ported it, figured I'd release it.It's MIT licensed. Credit for much of this also belongs to Kim Ahlström andhis linguistics/etc work on **[Ve](https://github.com/Kimtaro/ve/blob/master/lib/providers/japanese_transliterators.rb)**.Installation---------------------------------------------------------------------------pip install jTransliterateExamples && Documentation---------------------------------------------------------------------------``` python# -*- coding: utf-8 -*-from jTransliterate import JapaneseTransliterator# Transliterate from Latin/English to [Hirag/Katak]anax = JapaneseTransliterator(u'kanazawa')print x.transliterate_from_latn_to_hrkt()# Should print "かなざわ"# Transliterate from Hiragana to Latin/Englishb = JapaneseTransliterator(u'かなざわ')print b.transliterate_from_hira_to_latn()# Should print "kanazawa"# Transliterate from either Hiragana or Katakana to Latin/Englishprint b.transliterate_from_hrkt_to_latn(text = u'カナザワ')# Should print "kanazawa"# Transliterate from Katakan to Hiragana (You... probably never need to do this)print b.transliterate_from_kana_to_hira(text = u'キットカート')# Should print "きっとかーと"# Transliterate from Hiragana to Katakanaprint b.transliterate_from_hira_to_kana(text = u'かなざわ')# Should print "カナザワ"# If you want to convert between half/full width kana, you can use the following# functions. I didn't care enough to do demos here. ;|b.transliterate_from_halfwidth_to_fullwidth()b.transliterate_from_fullwidth_to_halfwidth()```Questions, Comments, Complaints and/or etc---------------------------------------------------------------------------Hit me up on them Twitters or find me on them internets at the links below.Twitter: **[@ryanmcgrath](http://twitter.com/ryanmcgrath/)**Web: **[Veno Designs](http://venodesigns.net/)**
Package: jtree
jtreejtree is a command line interface (CLI) for displaying JavaScript Object Notation (JSON) in a tree view powered byTextuala Text User Interface (TUI) framework for Python.Install➜python-mpipinstalljtreeUsage➜kubectl--kubeconfig.\napptive-kubeconfiggetdeployment-ojson>deployment.json➜jtreetests/fixtures/deployment.jsonPass the JSON content to standard input (sys.stdin)➜pipdeptree--json-tree-ptextual|jtree
Package: jtrends
Google Trends PlotterThis Python script uses thepytrendslibrary to fetch and plot Google Trends data for given keywords.Dependenciessystimepytrendsjapanize_matplotlibmatplotlibHow it worksThe script takes command line arguments as search queries. It fetches the Google Trends data for these queries over the past 7 days in Japan, and plots the data using matplotlib.Theplot_trendsfunction initializes aTrendReqobject with Japanese language and timezone settings. It then builds a payload with the given keywords, category set to 0 (all categories), timeframe set to 'now 7-d' (past 7 days), and geo set to 'JP' (Japan).The function then fetches the interest over time data for these keywords and plots the data for each keyword. The plot is saved as 'result.png'. Please note that the y-axis of the plot represents relative values (values relative to the maximum value, which is set to 100).If the number of requests is too high, the script waits for 60 seconds before making the next request.UsageRun the script with the search queries as command line arguments. For example:python jtrends.py コロナウイルス COVID-19If no command line arguments are provided, the script will prompt you to provide at least one search query.NotePlease be aware of Google’s rate limits when using this script.
Package: jts_erd
Create an entity-relationship diagram from extended JSON-table-schemasPython3 alpha code(JSON table schema is an extensible standard for describing tabular data:http://dataprotocols.org/json-table-schema)Documentation:https://jts_erd.readthedocs.org/If you provide patches, please also consider patchinghttps://github.com/iburadempa/pg_jts/accordingly.
Package: jturtle
jturtleSimple Python Jupyter Turtle libraryThis library contains simple turtle library suitable for Jupyter Notebooks. Unlike other similar
libraries that require installation of Jupyter Notebook extensions to enable real-time drawing, this
one relies purely onmatplotlibfunctionality to do the drawing. Thus, it does not support real-time
drawing, but instead it contains a feature to show step-by-step drawing process as a series of plots.
Package: jtv
jtvjtv is a command line utility which allows you to visualise JSON and YAML schemas as text trees. It may be used as a complement tojq, to facilitate the interpretation of a JSON schema, prior to defining filters.Installation$ pip install --upgrade pip
$ pip install jtvUsageTo show the help usejtv -hInconsistency handlingArrays may contain objects with different schemas. By default, or using the option--mode distinctwill wrap all objects in a new object with the node key specifying a schema version. The appended◎-schema-0node does not exist in the JSON and is strictly used to differentiate between different object schemas.$ echo '[{"0": {"00": [{"000": "", "001": true, "002": []}, {"NEW": {"A": 2}}]}, "1": {"10": []}}, {"A": {"r": []}}]' | jtv -j --mode distinctTo display all the nodes from each distinct object under a single object, use--mode union.$ echo '[{"0": {"00": [{"000": "", "001": true, "002": []}, {"NEW": {"A": 2}}]}, "1": {"10": []}}, {"A": {"r": []}}]' | jtv -j --mode unionTo display only the schema of the first object use--mode first.$ echo '[{"0": {"00": [{"000": "", "001": true, "002": []}, {"NEW": {"A": 2}}]}, "1": {"10": []}}, {"A": {"r": []}}]' | jtv -j --mode firstTo visualise JSON schemas, as above, use the-jflag. To visualise YAML schema use the-yflag.$ cat .yml | jtv -yTestsRuntoxin the root project directory.DevelopmentIncrement version:bumpver update --minor
Package: jTWA
jTWAjTWA implements the semiclassicalTruncated Wigner Approximation (TWA)in python, relying on Google's jax library.
This allows to write easily understandable python code without compromising on speed, as all calculations are compiled and executed on GPUs, if available.jTWA is designed to work with bosonic systems with potentially different numbers of internal degrees of freedom.
However, basic functionalities for spin-1 systems are already available injTWA.spin1.Documentation & InstallationAll code is documented onreadthedocs.
Working with jTWA is designed to be straightforward. For the installation procedure, have a look at thecorresponding sectionin the documentation.Getting Started: A Minimal ExampleA minimal working example of the codebase can be found in themain.pylocated in the root of the directory.
To execute, runpython main.py config.jsonas described in thequickstart sectionof the documentation.
To demonstrate the elementary features, here are the contents of themain.py:importjaximportsysimportjsonimportmatplotlib.pyplotaspltjax.config.update("jax_enable_x64",True)importjTWAif__name__=="__main__":configuration_file=sys.argv[1]withopen(configuration_file)asf:cfg=json.load(f)spin_operators=jTWA.spin1.observables.get_spin_operators(cfg)samples=jTWA.spin1.initState.getPolarState(cfg)cfg=jTWA.spin1.hamiltonian.update_cfg(cfg)hamiltonian=jTWA.spin1.hamiltonian.hamiltonianobs=jTWA.integrate.obtain_evolution(samples,hamiltonian,spin_operators,cfg)jTWA.util.write_data(obs,cfg)obs=jTWA.util.read_data(cfg)jTWA.visualization.create_visuals(obs,cfg)plt.show()Issues & RequestsIf you encounter any issues, please open anissueor submit apull request.LicenseApache License 2.0
Package: jtyoui
介绍学习Python的集合包.有利于重复使用,避免重复造轮子.并且还能温故而知新.里面包括了许多模块,其中包括:搜狗词库下载,新词发现算法,
照片和PDF相互转化, 微信自动聊天机器人,中国农历与阳历的转换关系,简体字与繁体字的转换,坦克小游戏,分形模式,邮箱,地图,正则,装饰器,
数学统计,数据处理,nlp算法、进制转换 验证码识别 数据下载 分形模型 小游戏 照片与PDF互转 语言处理 邮箱应用 阳历转农历 搜狗下载 
网页处理 新词发现 微信 正则 装饰器 异常 地图 计算统计 贝叶斯算法 常见的工具类 c模块 百度应用 日语单词翻译、天气预报、汉语纠错、反射等等安装pip install jtyoui文档docs点击查看文档支持版本python 3.x模块如下搜狗下载新词发现常见的工具类百度应用日语单词翻译日志模块口语化时间处理实体抽取日历处理全国地址提取常见数学处理字符串处理23种设计模式质数处理天气预报单个模块实现地址(推荐)https://github.com/pyunitintroduceLearning Python's collection package is conducive to reuse and avoid repeating wheel building. It can also learn new things from the past. It includes many modules, including: Sogou Lexicon Download, New Word Discovery Algorithms,
Photos and PDF transform each other, Wechat Auto Chat Robot, Chinese Lunar Calendar and solar calendar conversion relationship, simplified and traditional characters conversion, tank games, fractal mode, mailbox, map, regular, decorator,
Mathematical statistics, data processing, NLP algorithm, binary conversion validation code identification data download fractal model small game photos and PDF language processing mailbox application calendar to lunar search dog Download
Web page processing new words discovery Weixin regular decorator abnormal map calculation statistics Bayesian algorithm common tool class C module Baidu uses Japanese word translation, weather forecast, Chinese error correction, reflection and so on
Package: jtypes.javabridge
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.javabridgePython wrapper for the Java Native Interface.Overviewjtypes.javabridgeis a bridge between Python and Java, allowing these to intercommunicate.It is an effort to allow python programs full access to Java class libraries.PyPI record.jtypes.javabridgeis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of Lee Kamentsky’s and Vebjorn Ljosa’sJavabridgepackage by reimplementing whole its functionality in a clean Python instead of
Cython and C.About javabridge:Borrowed from theoriginal website:ThejavabridgePython package makes it easy to start a Java virtual
machine (JVM) from Python and interact with it. Python code can interact
with the JVM using a low-level API or a more convenient high-level API.RequirementsJava Runtime (JRE) or Java Development Kit (JDK), and NumPy (not mandatory but highly
recommended).InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.javabridgeTo ensure everything is running correctly you can run the tests using:python -m jt.javabridge.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.javabridgeor on development mode:python -m pip install --editable ./jtypes.javabridgePrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright (c) 2014-2018, Adam KarpierzLicensed under the BSD licensehttp://opensource.org/licenses/BSD-3-ClausePlease refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog1.0.18b3 (2018-11-08)Update of the required setuptools version.Minor setup and tests improvements.1.0.18b1 (2018-10-01)Synchro with javabridge master branch (v.1.0.18+).1.0.17b2 (2018-05-29)Synchro with javabridge master branch.Bug fixes and improvements in Java 9 support.Update of Mozilla Rhino.Update of the required setuptools version.1.0.14b4 (2018-02-26)Improvement and simplification of setup and packaging.1.0.14b3 (2018-01-29)Development moved to github.General improvements and update.1.0.14b2 (2017-01-01)Second beta release.Version numbering in sync. with the original javabridge.0.1.1a1 (2014-10-05)Initial version.
Package: jtypes.jcc
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.jccPyLucene’s Python to Java bridge.Overviewjtypes.jccprovides a bridge necessary to call into Java classes from Python via
Java’s Native Invocation Interface (JNI).PyPI record.jtypes.jccis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of PyLucene’sJCCpackage
by reimplementing its functionality in a clean Python instead of C++.About JCC:Borrowed from theoriginal website:What isJCC?JCCis a C++ code generator that produces a C++ object interface wrapping a Java
library via Java’s Native Interface (JNI).JCCalso generates C++ wrappers that
conform to Python’s C type system making the instances of Java classes directly
available to a Python interpreter.
…JCCis a Python extension written in Python and C++.
It requires a Java Runtime Environment (JRE) to operate as it uses Java’s reflection
APIs to do its work.RequirementsVarious Java Runtime Environments such as Oracle Java 1.7+, Apple’s Java 1.6+
on Mac OS X as well as open source Java OpenJDK 1.7+ builds.InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.jccTo ensure everything is running correctly you can run the tests using:python -m jt.jcc.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.jccor on development mode:python -m pip install --editable ./jtypes.jccPrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright 2015-2018 Adam KarpierzLicensed under the Apache License, Version 2.0http://www.apache.org/licenses/LICENSE-2.0Please refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog2.22.0a8 (2018-09-03)Synchro with JCC master branch (svn rev: 1839491).2.22.0a6 (2018-05-23)Update of the required setuptools version.2.22.0a5 (2018-02-26)Improvement and simplification of setup and packaging.2.22.0a4 (2018-01-29)Development moved to github.General improvements and update.2.22.0a3 (2017-01-10)Initial version.2.21.0a0 (2015-10-14)Initial version.
Package: jtypes.jep
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.jepJava Embedded Python.Overviewjtypes.jepembeds CPython in Java.PyPI record.jtypes.jepis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of Mike Johnson’sJeppackage
by reimplementing its functionality in a clean Python instead of C.About Jep:Borrowed from theoriginal website:Jepembeds CPython in Java through JNI and is safe to use in a heavily
threaded environment.Some benefits of embedding CPython in a JVM:Using the native Python interpreter may be much faster than alternatives.Python is mature, well supported, and well documented.Access to high quality Python modules, both native CPython extensions and
Python-based.Compilers and assorted Python tools are as mature as the language.Python is an interpreted language, enabling scripting of established
Java code without requiring recompilation.Both Java and Python are cross platform, enabling deployment to different
operating systems.Notable featuresInteractive Jep console much like Python’s interactive consoleSupports multiple, simultaneous, mostly sandboxed sub-interpretersNumpy support for Java primitive arraysRequirementsJava >= 1.7 - either the Sun/Oracle JRE/JDK or OpenJDK.NumPy >= 1.7 (optional)InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.jepTo ensure everything is running correctly you can run the tests using:python -m jt.jep.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.jepor on development mode:python -m pip install --editable ./jtypes.jepPrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright (c) 2014-2018 Adam KarpierzLicensed under the zlib/libpng Licensehttp://opensource.org/licenses/zlibPlease refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog3.8.2a2 (2018-11-08)Synchro with pyjnius master branch.Update of the required setuptools version.Minor setup and tests improvements.3.7.1b4 (2018-05-23)Update of the required setuptools version.Documentation update.3.7.1b3 (2018-02-26)Improvement and simplification of setup and packaging.3.7.1b2 (2018-01-29)Development moved to github.General improvements and update.3.7.1b1 (2017-01-01)First beta release.1.1.0b1 (2017-01-01)First beta release.1.1.0b1 (2017-01-01)First beta release.0.1.1 (2005-10-05)Initial version.
Package: jtypes.jpy
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.jpyBi-directional Python-Java bridge.Overviewjtypes.jpyis a bi-directional bridge between Python and Java which can be use
to call Java from Python and Python from Java.PyPI record.jtypes.jpyis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of Norman Fomferra’sJpypackage
by reimplementing its functionality in a clean Python instead of C.About Jpy:Borrowed from theoriginal website:jpyis a bi-directional Java-Python bridge allowing you to call Java from Python
and Python from Java.jpyis abi-directionalPython-Java bridge which you can use to embed Java code
in Python programs or the other way round. It has been designed particularly with
regard to maximum data transfer speed between the two languages. It comes with a
number of outstanding features:Fully translates Java class hierarchies to PythonTransparently handles Java method overloadingSupport of Java multi-threadingFast and memory-efficient support of primitive Java array parameters viaPython buffers(e.g.numpy arrays)Support of Java methods that modify primitive Java array parameters (mutable
parameters)Java arrays translate into Python sequence objectsJava API for accessing Python objects (jpy.jar)InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.jpyTo ensure everything is running correctly you can run the tests using:python -m jt.jpy.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.jpyor on development mode:python -m pip install --editable ./jtypes.jpyPrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright 2014-2018 Adam KarpierzLicensed under the Apache License, Version 2.0http://www.apache.org/licenses/LICENSE-2.0Please refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog0.10.0a3 (2018-11-08)Synchro with jpy master branch.Update of the required setuptools version.Minor setup and tests improvements.0.9.0a3 (2018-05-23)Synchro with jpy master branch.Update of the required setuptools version.0.9.0a2 (2018-02-26)Improvement and simplification of setup and packaging.0.9.0a1 (2018-02-12)Synchro with the original jpy 0.9.0.0.9.0a0 (2018-01-29)Development moved to github.Version numbering in sync. with the original jpy.0.0.1 (2005-10-05)Initial version.