Saravanan666/pypi-org huggingface dataset:
Package: java-code-chunker
= java-code-chunkerPython library that chunks Java packages, methods, and variables into a Python list consisting of a number of Python dictionaries. This list of dictionaries can then be used for vector-store creation, which can provide granular context for OpenAI queries.== ContributingThe GitHub repository for this package is https://github.com/break-free/java-code-chunker.The `main` branch is protected therefore any contributions require a branch to be created. Branch names should be preprended with either `feature_` or `fix_` to indicate whether new functionality or a refactor/fix is being made (e.g, `fix_update-readme`). Once the branch is complete, it can be merged back into `main`.The repository includes additional directories, such as `setup`, `info`, and `training`, and files, such as `main.py`, that includes additional resources for development and usage examples.== PackagingThis Python package was produced using https://hatch.pypa.io/latest/config/build/[hatchling]. Refer to the `pyproject.toml` for specifics.Recommend reading the following sites to get familiar with Python packages and uploading to https://pypi.org.* https://packaging.python.org/en/latest/tutorials/packaging-projects/[Packaging Python Projects].* https://hatch.pypa.io/latest/config/build/[Hatchling - Build Configuration].* https://packaging.python.org/en/latest/guides/distributing-packages-using-setuptools/#uploading-your-project-to-pypi[Uploading your Project to PyPI].* https://pypi.org/project/keyring/[keyring] (useful for keeping PyPI login safe).== NotesThis code has been battle-tested with *one* application. If you encounter any issues then please https://github.com/break-free/java-code-chunker/issues[submit an issue ticket here on GitHub].
Package: javaCollectionInPython
Why I do this project?I'm trying to do some distinct integer statistics in java and operate it in python.The python has a package namedbitarraywhile it can't operate withjava.util.BitSetand which it has more constraints like the logical operation must be operated on same length bitset.
while the java BitSet doesn't have this constraint.The java collections in python implementationSo this python implementation, shares same operation and data structures with java impl. Now it includesBitSetinstallpip install javaCollectionInPythonhow to use?seegithuband theexample.pynotethis code works on little endian machines. some code is removed. If needed, it can be easily fixed.some methods name is changed because of reserved word in python or the same method has different args not support.
Package: javac-parser
![PyPI](https://img.shields.io/pypi/v/javac-parser.svg) ![PyPI - License](https://img.shields.io/pypi/l/javac-parser.svg) [![Build Status](https://travis-ci.org/naturalness/javac-parser.svg?branch=master)](https://travis-ci.org/naturalness/javac-parser)Use OpenJDK’s Java parser (“javac”) in Python!Installpip install javac-parserUsageFirst, instantiate the server:`python import javac_parser java = javac_parser.Java() `Count the number of syntax errors:`python >>>java.get_num_parse_errors('classHello {') 1 >>>java.get_num_parse_errors('classHello { }') 0 `Get a list of diagnostics for each syntax error:`python >>>java.check_syntax('classHello {')[('ERROR','compiler.err.premature.eof', 'reached end of file while parsing', 1, 14, 13,13)]'>>>java.check_syntax('classHello { }') [] `Lex (tokenize) Java source code, even if it does not compile:`python >>>java.lex('classHello {')[('CLASS','class', (1, 0), (1, 5),'class'),('IDENTIFIER', 'Hello', (1, 6), (1, 11),'Hello'),('LBRACE','{',(1, 12), (1, 13),'{'),('EOF', '', (1, 13), (1, 13),'token.end-of-input')]`See the docstrings injavac_parser.pyor typepydoc javac_parserfor more details!CopyingCopyright (C) 2017, 2018  Joshua Charles Campbell and Eddie Antonio SantosThis program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.
Package: java-gc
A command to trigger a full java garbage collection via thejcmdtool.  On systems which use the systemd init system,
you can specify the service name as the program argument.  The-roption can also be used on systemd based systems to
allow have this utility attempt to automatically restart the service if the jcmd garbage collection fails.RequirementsTested on python 2.7 and python 3No 3rd party libraries requiredInstallationUsingpipis the preferred method to install this tool, and will install the package from pypi.pip install java-gcIt can also be installed viapipfrom a local copy of the source repo,pip install .from the repo directory should do the trick.
Runningmake installshould also work as well.Usageusage: java-gc [-h] [-u USER] [-t T] [-r][-l {debug,info,warning,error,critical}] [-v]procTrigger a full GC on a java processpositional arguments:proc                  The service name, or pid, to trigger the GC onoptional arguments:-h, –help            show this help message and exit-u USER, –user USER  User owning the process (default to current user)-t T, –timeout T     seconds to wait for GC before raising error-r, –restart         restart the service if timeout occurred, else exitwith error-l {debug,info,warning,error,critical}, –loglevel {debug,info,warning,error,critical}set log level-v, –version         print program version and exitContributingThe usual github model for forking the repo and creating a pull request is the preferred way to
contribute to this tool.  Bug fixes, enhancements, doc updates, translations are always welcomed.Building from sourceAMakefilehas been included in the repository to handle the steps of creating the package and
uploading it to pypi.  If you don’t have themakeutility installed, the contents of the Makefile
should be instructive (and simple) enough to execute manually.The following targets are available in the Makefile:package- the default target, calls the setup.py script to create the package to upload to pypi.upload- depends on thepackagetarget, and uploads the generated package archive to pypi.install- usepipto install the package locallyclean- clean up the artifacts left by thepackagestep.distclean- depends on thecleantarget, and additionally cleans up misc. files.
Package: java-module-dependencies-viewer
Java Module Dependencies ViewerThis project contains a small python script allowing to visualize dependencies defined in a set of java-module.info files.This project is distributed onPyPIon the following page:https://pypi.org/project/java-module-dependencies-viewer/Alternatives solutionsThis script is way simpler than the following other solutions:https://livebook.manning.com/book/the-java-9-module-system/d-analyzing-a-project-s-dependencies-with-jdeps/v-9/11https://nipafx.dev/jdeps-tutorial-analyze-java-project-dependencies/https://github.com/cartermc24/Java-Dependency-Visualizerhttps://github.com/rahmanusta/module-graphhttps://github.com/ExpediaGroup/jarvizBuild and distribution processDistribution of this script used information available at:https://packaging.python.org/en/latest/tutorials/packaging-projects/https://scikit-hep.org/developer/pep621and the following exemplehttps://github.com/kubernetes-client/python.
Package: javaproperties
GitHub|PyPI|Documentation|Issues|Changelogjavapropertiesprovides support for reading & writingJava.propertiesfiles(both
the simple line-oriented format and XML) with a simple API based on thejsonmodule — though, for recovering Java addicts, it also includes aPropertiesclass intended to match the behavior ofJava 8’sjava.util.Propertiesas much as
is Pythonically possible.Previous versions ofjavapropertiesincluded command-line programs for
basic manipulation of.propertiesfiles.  As of version 0.4.0, these
programs have been split off into a separate package,javaproperties-cli.Installationjavapropertiesrequires Python 3.6 or higher.  Just usepipfor Python 3 (You have pip, right?) to install it:python3 -m pip install javapropertiesExamplesDump some keys & values (output order not guaranteed):>>> properties = {"key": "value", "host:port": "127.0.0.1:80", "snowman": "☃", "goat": "🐐"}
>>> print(javaproperties.dumps(properties))
#Mon Sep 26 14:57:44 EDT 2016
key=value
goat=\ud83d\udc10
host\:port=127.0.0.1\:80
snowman=\u2603Load some keys & values:>>> javaproperties.loads('''
... #Mon Sep 26 14:57:44 EDT 2016
... key = value
... goat: \\ud83d\\udc10
... host\\:port=127.0.0.1:80
... #foo = bar
... snowman   ☃
... ''')
{'goat': '🐐', 'host:port': '127.0.0.1:80', 'key': 'value', 'snowman': '☃'}Dump some properties to a file and read them back in again:>>> with open('example.properties', 'w', encoding='latin-1') as fp:
...     javaproperties.dump(properties, fp)
...
>>> with open('example.properties', 'r', encoding='latin-1') as fp:
...     javaproperties.load(fp)
...
{'goat': '🐐', 'host:port': '127.0.0.1:80', 'key': 'value', 'snowman': '☃'}Sort the properties you’re dumping:>>> print(javaproperties.dumps(properties, sort_keys=True))
#Mon Sep 26 14:57:44 EDT 2016
goat=\ud83d\udc10
host\:port=127.0.0.1\:80
key=value
snowman=\u2603Turn off the timestamp:>>> print(javaproperties.dumps(properties, timestamp=None))
key=value
goat=\ud83d\udc10
host\:port=127.0.0.1\:80
snowman=\u2603Use your own timestamp (automatically converted to local time):>>> print(javaproperties.dumps(properties, timestamp=1234567890))
#Fri Feb 13 18:31:30 EST 2009
key=value
goat=\ud83d\udc10
host\:port=127.0.0.1\:80
snowman=\u2603Dump as XML:>>> print(javaproperties.dumps_xml(properties))
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
<entry key="key">value</entry>
<entry key="goat">🐐</entry>
<entry key="host:port">127.0.0.1:80</entry>
<entry key="snowman">☃</entry>
</properties>New in v0.6.0: Dump Unicode characters as-is instead of escaping them:>>> print(javaproperties.dumps(properties, ensure_ascii=False))
#Tue Feb 25 19:13:27 EST 2020
key=value
goat=🐐
host\:port=127.0.0.1\:80
snowman=☃And more!
Package: javaproperties-cli
GitHub|PyPI|Documentation|Issues|Changelogjavaproperties-cliis a wrapper around thejavapropertiespackage (from
which it was split off) that provides programs for basic command-line
manipulation of.propertiesfiles, including getting, setting, & deleting
values and converting to & from JSON.Installationjavaproperties-clirequires Python 3.6 or higher.  Just usepipfor Python 3 (You have pip, right?) to installjavaproperties-cliand its dependencies:python3 -m pip install javaproperties-cliQuickstartjavaproperties get    <file> <key> ...Output the values of the given keys in the given.propertiesfilejavaproperties select <file> <key> ...Output the key-value pairs for the given keys in the given.propertiesfilejavaproperties set    <file> <key> <value>Set<key>in<file>to<value>and output the resultjavaproperties delete <file> <key> ...Output the given.propertiesfile with the given keys deletedjavaproperties format [<file>]Reformat the given.propertiesfile, removing comments & extraneous
whitespace and putting keys in sorted orderjson2properties [<infile> [<outfile>]]Convert a JSON object to a.propertiesfileproperties2json [<infile> [<outfile>]]Convert a.propertiesfile to a JSON object
Package: javaprops
javaprops - Read and write Java property files.This libary allows you to read Java property files including all the
lesser known formatting details, like Unicode escaping. What sets it
apart from similar projects are these requirements:Modification of property files with minimal differences due to normalization.Comments are parsed and associated with their property key.Location information is available, mostly to improve diagnostics for humans.The property set can be exposed as a dict-like object with attribute semantics,
mainly for use in template engines; stemmed values are supported.Provide an optional inclusion mechanism via special comments.Copyright ⓒ  2015 1&1 GroupLicensed under the Apache License, Version 2.0 (the “License”);
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: java-random
Java-Random is a simple implementation of Java’s standard java.util.Random
class in Python. Java’s random number generation algorithm is exceedingly
straightforward to reimplement in other languages, and this is simply an
implementation for Python.InstallationA standard setup.py is provided.FAQWhy would you do this?I needed this particular generator available in another program, and this was
the quickest, simplest way to achieve that goal.What’s wrong with Python’s random module?Nothing. In fact, Python’s random module is far superior to this module in a
number of respects, including predictability, speed, robustness, and
features. If you’re looking for good random number generation in Python, just
use random instead.Your code sucks.That’s not a question. Also, feel free to blame the Java specification for
that, as they have a very specific way of doing things and I felt that trying
to spice up my code might lead to some unobvious and unfun bugs.Where is the official Java specification for this, anyway?http://download.oracle.com/javase/6/docs/api/java/util/Random.html, until
Oracle removes it.…This is for Minecraft, isn’t it?No comment.
Package: javascriptasync
JSPyBridge_async - javascript asyncio forkInteroperate Node.js from Python, with built in asyncio compatibility.This is a fork ofJSPyBridgeby extremeheat, created to properly integrateasyncioevents and coroutines into the python side of the bridge.However,As the purpose of this fork was only to alter thejavascriptpackage, it's specifically for running Node.js from Python.  No changes are made topythoniaor are planned to be made topythonia.current stable installationpip install -U javascriptasynccurrent latest installationpip install -U git+https://github.com/CrosswaveOmega/JSPyBridge_Async.gitRequires Node.js 14 and Python 3.8 or newer.Key Featuresuse node.js objects in the same way as python modules.Ability to call async and sync functions and get object properties with a native feelBuilt-in garbage collectionBidirectional callbacks with arbitrary argumentsIteration and exception handling supportObject inspection allows you to easilyconsole.logorprint()any foreign objects(Bridge to call JS from Python) Specialized object oriented support for event-emitter functions.retrieve blob objects from the Javascript side of the bridge.enhanced support for concurrent operations.New Javascript from Python usage:importasynciofromjavascriptasyncimportinit_js,require_a,get_globalThisinit_js()asyncdefmain():chalk,fs=awaitrequire_a("chalk")globalThis=get_globalThis()datestr=await(awaitglobalThis.Date(coroutine=True)).toLocaleString(coroutine=True)print("Hello",chalk.red("world!"),"it's",datestr)fs.writeFileSync("HelloWorld.txt","hi!")asyncio.run(main)TO DO:better documentation and examplesbug fixing/optimizationCode cleanup.KEY CHANGES:javascriptis nowjavascriptasyncconfig.pyhas been encapsulated into theJSConfigclass, all objects that need to access variables withinJSConfighave been passed an object reference to a single uniqueJSConfiginstance.__init__.pyutilizes a singleton to ensure that only one instance of an JSConfig class is created at any one time.  You need to callinit()to start up the bridge!TheJSContextobject can be utilized to make use of the library's operations in a more object oriented manner.debug output now uses the logging module.connection.pyhas been encapsulated into theConnectionClass, accessable through theevents.EventLoopclass, asevents.EventLoopis the only place the connection was ever utilized.It's possible to set a custom timeout value when using eval_js.async variants ofrequireandeval_jsare included withininit.py, asrequire_aandeval_js_arespectively.this package is now built using apyproject.tomlfile instead of asetup.pyscript.test_general.pynow works with pytest.console,globalThis, andRegExphave to be retrieved with theget_console(),get_globalThis(), andget_RegExp()functions.start,stop, andaborthas to be retrieved with through theThreadUtilsstatic class.any call or init operation can be made into a coroutine by passing in thecoroutine=Truekeyword.Separate set of wrappers for asyncio tasks throughAsyncTaskUtilsEvent Emitters can utilize Coroutine handlers.Examplesseehttps://github.com/CrosswaveOmega/JSPyBridge_Async/tree/master/examples
Package: javascript-object-notation
Javascript Object NotationAllows Access to JSON/YAML data using Javascript Object Notation.Note: This code can be applied to any Python dictionary, not only JSON or YAML.Installationpip install javascript-object-notationAccess to JSON valuesLets image we have following JSON object.{  
    "employee": {  
        "name":       "Mario",   
        "salary":      1000000
    }  
}The python way to access data inside JSON is using brackets and quotes like a normal dictionary.import json
json_obj1 = json.loads(json_txt)
assert json_obj1['employee']['name'] == 'Mario'
assert json_obj1['employee']['salary'] == 1_000_000Using the JSON wrapper you can access data like a normal object.from jon.jon_wrapper import JONFactory
...
json_obj2 = JONFactory.wrap(json_obj1)
assert json_obj2.employee.name == 'Mario'
assert json_obj2.employee.salary == 1_000_000Changing valuesIs also possible modify values and get json updated.json_obj2.employee.name = 'Cesar'
json_obj2.employee.salary = 500_000

expected = '{"employee": {"name": "Cesar", "salary": 500000, "married": true, "occupation": "writer"}}'
 assert f'{json_obj2}' == expectedSpecial symbolsSome JSON properties have special characters like '$', those are not accepted as property names.
This library remove automatically those from the names and put it back when you serialize to JSON.For instance for the below example.{  
        "type": "array",
        "$id": "https://spec.openapis.org/oas/3.1/schema/2022-10-07",
        "then": {
          "$ref": "#/$defs/reference"
        }
    }You will be able to access like this:json_obj1 = json.loads(json_txt)
json_obj2 = JONFactory.wrap(json_obj1)

assert json_obj2.type == 'array'
assert json_obj2.id == 'https://spec.openapis.org/oas/3.1/schema/2022-10-07'
assert json_obj2.then.ref == '#/$defs/reference'

expected = '{"type": "array", "$id": "https://spec.openapis.org/oas/3.1/schema/2022-10-07", "then": {"$ref": "#/$defs/reference"}}'
assert f'{json_obj2}' == expectedAccess to YAML valuesLets image we have following YAML object.apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: consumer
    version: v1
  name: consumer
spec:
...
  template:
    ...
    spec:
      containers:
        - image: emmerson/cdi-rabbit-consumer:1.1.0
          imagePullPolicy: IfNotPresent
          name: cdi-rabbit-consumer
...Using the JSON wrapper you can access data like a normal object.d = yaml.safe_load(file)
json_obj2 = JONFactory.wrap(d)

assert json_obj2.kind == 'Deployment'
assert json_obj2.metadata.labels.app == 'consumer'
assert json_obj2.spec.template.spec.containers[0].image == 'emmerson/cdi-rabbit-consumer:1.1.0'If yaml file contains multiple manifests, you can iterate them and wrap.docs = yaml.safe_load_all(stream)
all = [JONFactory.wrap(doc) for doc in docs]
assert len(all) == 10SerializationBy default this library serialize its content as JSON string.
Package: javascriptpy
Javascript.pyThis package lets you use javascript like objects in python.InstallationStable version:pip install javascriptpyWorking version:pip install git+https://github.com/CodeWithSwastik/javascript-pyExample Usagefromjavascriptimport*array=Array('apple','orange','cherry')index=Math.floor(Math.random()*array.length)console.info('Random element:',array[index])console.table(array)Consolefromjavascriptimportconsole,Arrayconsole.clear()console.error("Syntax Error!")console.warn("Forgot an import!")console.table(Array(['earth','venus']))What's new?Added RegExp, Date, JSON
Package: javasoup
# JavaSoup - Modern Web ScrapingThis library returns the HTML of a Single Page Application (SPA) after the page has loaded.  This HTML can then be passed to BeautifulSoup for parsing.#### !! WARNING: This library requires node, npm, and puppeteer to work !!
##### !! If the method runs and nothing is returned, this is MOST LIKELY the issue !!##### Install JavaScript Components (on Kali):sudo apt-get install -y nodejs npmnpm i puppeteer### Library OverviewThe traditional method of web scraping in Python w/ requests and BeautifulSoup isn’t effective for more modern pages and SPAs.  This library dynamically generates a JavaScript file that uses puppeteer to fully load the page and return the HTML that is dynamicaly generated in the Document Object Model (DOM).The primary method, get_soup, accepts a full URL as a string and returns the page’s content as a string.Typical Workflow (requests/BeautifulSoup):res = requests.get(‘http://example.com’)soup = BeautifulSoup(res.text, ‘html.parser’)New Workflow w/ javasoup:import javasoupsoup = BeautifulSoup(javasoup.get_soup(‘http://example.com’), ‘html.parser’)### Execution ProcessCreates the necessary JavaScript file in the current working directory (MUST HAVE WRITE PRIVILEGES)Runs that JavaScript file using the URL provided and stores the value returnedDeletes the temporary JavaScript fileReturns the HTML content### Install#### After JavaScript components have been installed, javasoup can be downloaded through pippip install javasoup