Saravanan666/pypi-org huggingface dataset:
Package: codcat
CodcatNatural Language Processing (NLP) is a rapidly growing field that aims to help machines understand and interpret human language. With the increasing use of code repositories like Github, there is a growing need to accurately categorize program code by programming language. This is particularly important in large repositories where multiple programming languages are used, as it allows developers to easily navigate and search for specific code snippets.The goal of this NLP project is to develop a model that can automatically categorize program code by programming language. The model will be trained on a large dataset of code snippets from various programming languages, and will use NLP techniques to extract features and patterns from the code.The project will involve several steps, including data collection, pre-processing, feature extraction, model selection and evaluation. The dataset for the project will be sourced from various public code repositories, including GitHub, GitLab, Stackoverflow. The collected data will then be pre-processed to remove irrelevant information and to standardize the format of the code snippets. This will involve techniques such as tokenization and stop-word removal.Once the data is pre-processed, features will be extracted from the code snippets using NLP techniques. This will involve using methods such as Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), and Embeddings to capture the semantics of the code. These features will then be used to train and evaluate several machine learning models, including Naive Bayes, RandomForest, CNN, RNN, Transformers.The final model will be evaluated on a test set of code snippets to assess its accuracy and generalizability.PrerequisitesOn your PC with local run you must have Python >= 3.9InstallationInstallcodcatwith pip:pipinstallcodcator with your favorite package manager.ExampleInputfromcodcat.downloaderimportloadmodel=load('base-tiny')print(model.predict(['def foo(bar): return bar','#include <stdio.h>']))Output['python''c']AuthorsTemplin Konstantin1qnbhd@gmail.com
Package: codde-protocol
CODDE ProtocolMulti Communication protocol in heart of the C.O.D.D.E. Pi framework.This Project is written in Rust, enabling fast serializing/deserializing and data processing.
Client side is ported for Dart/Flutter applications, and server side has been translated in python.CODDE Protocol integrates data generated by CODDE Pi App widgets, and received by embedded systems. Seehttps://codde-pi.comto stay tuned about new widgets integration.Show me the codeWith one code structure and a dozen of lines, you can receive data from socket, bluetooth of UART com. Just need a port address and registered actions on data is received :importcodde_pi_protocolascpimporttimeserver=cp.CoddePiServer.use_socket('localhost:12345')defaction(*args):widget:cp.ToggleButton=args[0]print("value received : ",widget.value)server.callback(1,cp.ServerStatus.Idle,cp.ConfirmResult(True))if__name__=="__main__":print('open server...')server.open()server.on(1,"ToggleButton",action)# server.callback(1, cp.ServerStatus.Idle, cp.ConfirmResult(True))server.serve()time.sleep(2)server.close()RoadmapProtocols:SocketBluetoothUARTHTTP
Package: coddj
coddjPersonal package for playing youtube audioInstallation$pipinstallcoddjUsageTODOContributingInterested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.Licensecoddjwas created by Dylan Garrett. It is licensed under the terms of the MIT license.Creditscoddjwas created withcookiecutterand thepy-pkgs-cookiecuttertemplate.
Package: code128
Overviewcode128 is a simple library to create Code-128 barcodes.useful links:Python Package IndexRepositorywith latest sourceLicenseCopyright (c) 2014-2015 Felix KnopfThis library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.This library 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
Lesser General Public License in the LICENSE.txt for more details.What’s New0.3Graphical User Interface0.2Command Line Interface; PyPI integrationFeaturesoptimal codes (use code128C to encode long sequences of digits; lazy switch between Code128A and B)full latin-1 charset is supportedno additional libraries needed for svg outputoutput as PIL Image objects (PIL requiered)command line tool and guiSetupThis is a pure python package, for this the following steps are optional.
A copy of the package (foldercode128in the source archive) in your directory will also work for this specific project.
The instructions below ensure that the library is available for every python module and from the command line.Note, that some Linux Systems usepython3andpip3to distinguish from their Python2 versions.For Windwos users without a Python installation there is also a ‘stand-alone’ version available.DependenciesPython3(Tested with 3.3 and 3.4, other versions should work, too)setuptoolsto use the setup script or pip, usually preinstalledoptional:PIL, or compatible fork (Pillowis recommended) to save barcodes as raster graphicsLetpipdo the work$ pip install -i https://testpypi.python.org/pypi code128 --preWindows UsersA convenient graphical installer is provided for the final releases.build from sourcedownload the zip archive or tarball, extract it and install with (you may need root access):$ python ./code128-[version]/setup.py installUsagewith Pythonimportcode128code128.image("Hello World").save("Hello World.png")# with PIL presentwithopen("Hello World.svg","w")asf:f.write(code128.svg("Hello World"))from shellCode128 provides a command line interface. If you installed the library, simply type$ code128 "Hello World" "Hello World.svg"The packet also defines a__main__.pyentry point, so$ python ~/spam/eggs/code128 "Hello World" "Hello World.svg"will work, too.The GUI$ code128wwill start the graphical mode, where you can preview your codes.
This needs PIL and tkinter.ContributionUse theIssue Trackeron Bitbucket to report bugs, request a feature, etc.If you want to contribute some code, feel free to create apull request.
Package: code128agen
Code128a GeneratorA simple barcode generator (full python solution)This library makes use of Pillow  to generate the barcode image,
it also fully supports extended ASCII which I found most other libraries did not support except GNU barcode in raw mode.Installationpython-mpipinstallcode128agenUsagefromcode128agenimportgenerate_bar_widths,write_barcode_to_image_file,write_barcode_to_imagetest_str_unicode='12345678ÐEª2345FD'bars=generate_bar_widths(test_str_unicode)# generates the bar widths for generating image.pil_image=write_barcode_to_image(bars)# if you want to manipulation the image with PIL.write_barcode_to_image_file(bars,'test.png')# writes out file to specified file name.
Package: code128bgen
Code128b GeneratorA simple barcode generator (full python solution)This library makes use of Pillow  to generate the barcode image,
it also fully supports extended ASCII which I found most other libraries did not support except GNU barcode in raw mode.Installationpython-mpipinstallcode128bgenUsagefromcode128bgenimportgenerate_bar_widths,write_barcode_to_image_file,write_barcode_to_imagetest_str_unicode='12345678ÐEª2345FD'bars=generate_bar_widths(test_str_unicode)# generates the bar widths for generating image.pil_image=write_barcode_to_image(bars)# if you want to manipulation the image with PIL.write_barcode_to_image_file(bars,'test.png')# writes out file to specified file name.
Package: code128cgen
Code128c GeneratorA simple barcode generator (full python solution)This library makes use of Pillow  to generate the barcode image.Installationpython-mpipinstallcode128cgenUsagefromcode128cgenimportgenerate_bar_widths,write_barcode_to_image_file,write_barcode_to_imagetest_str_unicode='12345678'bars=generate_bar_widths(test_str_unicode)# generates the bar widths for generating image.pil_image=write_barcode_to_image(bars)# if you want to manipulation the image with PIL.write_barcode_to_image_file(bars,'test.png')# writes out file to specified file name.
Package: code-20220213-pinakpanigogoi-pinak47
BMI calculationThe following are the objective,Calculate the BMI (Body Mass Index) using Formula 1, BMI Category and
Health risk from Input data (person_detail.json) of the person and add them as 3 new columns.Formula 1 - BMI
     BMI(kg/m2) = mass(kg) / height(m)2Count the total number of overweight people using ranges in the column BMI
Category.BMI Category------------BMI Range (kg/m2)------------Health risk

 Underweight------------  18.4 and below ------------Malnutrition risk

 Normal weight------------ 18.5 - 24.9------------------Low risk

 Overweight---------------- 25 - 29.9 ----------------Enhanced risk

 Moderately obese---------- 30 - 34.9 ---------------- Medium risk

 Severely obese ----------- 35 - 39.9  ---------------- High risk

 Very severely obese ---- 40 and above ---------------Very high riskThere are few major functions used in the whole program,'fitness_calc.py' (in 'src' directory) has the functions to calculate BMI, Categorization and the count of Overweight persons.'utility.py' is created to make functions generic. It has the file handling functions.'test.py' has the function to unit test the code.'main.py' is used to get the desired output from the input data.'person_detail.json' has the input data containing persons' Gender, Height and Weight.'Final_BMI_Results.csv' will give the desired out in .csv format.'setup.py' has the required package details.
Package: code-20220213-pinakpani-pinak47
BMI calculationThe following are the objective,Calculate the BMI (Body Mass Index) using Formula 1, BMI Category and
Health risk from Input data (person_detail.json) of the person and add them as 3 new columns.Formula 1 - BMI
     BMI(kg/m2) = mass(kg) / height(m)2Count the total number of overweight people using ranges in the column BMI
Category.BMI Category------------BMI Range (kg/m2)------------Health risk

 Underweight------------  18.4 and below ------------Malnutrition risk

 Normal weight------------ 18.5 - 24.9------------------Low risk

 Overweight---------------- 25 - 29.9 ----------------Enhanced risk

 Moderately obese---------- 30 - 34.9 ---------------- Medium risk

 Severely obese ----------- 35 - 39.9  ---------------- High risk

 Very severely obese ---- 40 and above ---------------Very high riskThere are few major functions used in the whole program,'fitness_calc.py' (in 'src' directory) has the functions to calculate BMI, Categorization and the count of Overweight persons.'utility.py' is created to make functions generic. It has the file handling functions.'test.py' has the function to unit test the code.'main.py' is used to get the desired output from the input data.'person_detail.json' has the input data containing persons' Gender, Height and Weight.'Final_BMI_Results.csv' will give the desired out in .csv format.'setup.py' has the required package details.
Package: code-20220301-rayeesck
BodyMassIndex CalculatorThis repository consists of a simple BodyMassIndex calculator using Python.SummaryAbout BodyMassIndexBody mass index is a value derived using weight and height of a person.
Formula : -BodyMassIndex(kg/m2) = mass(kg) / height(m)2ChartCategoryRangeHealth riskUnderweight18.4 and belowMalnutrition riskNormal weight18.5 to 24.9Low riskOverweight25 to 29.9Enhanced riskModerately obese30 to 34.9Medium riskSeverely obese35 to 39.9High riskVery severely obese40 and aboveVery high riskAbout CalculatorIt accepts Json file as input and returns number of overwieght people count (considering all the count above 25 BodyMassIndex) and stores the output as Json/CSVOutput file contains output BodyMassIndex along with Category and Health risk data.Future workWe can returns the people details with approximate weight to be lost or increase to reach normal BodyMassIndex.Install and RunInstall the module using following commandpip install code_20220301_rayeesckImport the module in your code and call the process with passing the parametersfrom code_20220301_rayeesck import process
    output = process('InputJsonPath',output_format = 'csv')ouput will have the number of over weight count and stores the output file in same directory with appending 'output' into the name of file.ParametersInputJsonPath = path of input json fileoutput_format = csv/json, which format output to be stored
Package: code2api
链接VSOURCE_FACE_PLATFORM，采用平台里的RESTFUL API提供一套本地能够使用的算法库。pipinstallcode2api-ihttps://pypi.python.org/simple目前功能：人脸识别：输入两张人脸图像判断来自一个人的概率说话人识别：输入两个音频判断来自一个人的概率人脸检测：输入一张图像检测出所有的人脸框图人脸属性：输入一张图像检测人脸并判断人脸的表情和年龄一个人脸识别的Demo：importcode2apiif__name__=='__main__':username={{secrets.username}}password={{secrets.password}}code2api.login(username,password)face_path1='examples/0006_01.jpg'face_path2='examples/0007_01.jpg'score=code2api.face_recognition(face_path1,face_path2)print(score)一个说话人识别的Demo:importcode2apiif__name__=='__main__':username={{serects.username}}password={{serects.password}}code2api.login(username,password)audio_path1='examples/0.wav'audio_path2='examples/1.wav'score=code2api.speaker_recognition(audio_path1,audio_path2)print(score)一个人脸检测的Demo:importcode2apiif__name__=='__main__':username={{serects.username}}password={{serects.password}}code2api.login(username,password)face_path1='examples/0008_01.jpg'result=code2api.face_detection(face_path1)print(result)一个人脸属性的Demo:importcode2apiif__name__=='__main__':username={{serects.username}}password={{serects.password}}code2api.login(username,password)face_path1='examples/0008_01.jpg'result=code2api.face_attribute(face_path1)print(result)# 其他同学实现的版本result2=code2api.face_attribute(face_path1,version='fsx')print(result)TIPS:关于用户名和密码，防止恶意的请求进入，导致服务器收到大量的请求后排队时间过长进一步让服务都不可用，所以暂时还是需要登录态，关于试用的用户名和密码可以联系我。持续的更新各种算法中。算法如果遇到超时，可以设置参数max_interval=x秒，每个算法都带这个参数，比如face_recognition(face_path,
max_interval=100)。如果长时间没有结果，说明算法运行时出现了错误。
Package: code2doc
code2docA simple documentation utility that takes the docstring from the files, functions and classes and creates markdown files.Getting StartedRequires: python 3.6+Installingcode2doc is available onPyPiand can be easily installed using pip.pipinstallcode2docIf you already have code2doc and want to update to a newer versionpipinstall-Ucode2docYou can get the cutting edge version directly from dev branch (this can be unstable)pipinstallgit+https://github.com/rahulsrma26/code2docRunningAssuming you have all the source code insrc/your_moduledirectory in the current working directory then you can directory build docs usingcode2docbuild-m./src/your_moduleBuild options can be customized using command line orcode2doc.inifile. To createcode2doc.inifile in the current working directory usecode2docinitFor additional help seecode2doc.inifile and use help commands and sub-commands.code2doc-hSource DocumentationSee source code documentationhere.
Package: code2graph
Code2graphThis repo contains a project for creating a directed graph from python files in a specific destination. The code2graph generates a dot files that can be visualized by Graphviz (or any other application). If you want code2graph also can generate an svg/png file but if your host machine doesn't have enough memory it will face problems to visualize huge projects.Each node in the graph is a function in the python files and it points to all other functions/libraries that have been used in that function.NOTE:This project has been tested only on Linux and not on Windows or Mac.InstallationThis program has been published as apip packageand can be installed via below command:pipinstallcode2graphUsage$code2graph.py-h
Usage:test.pyPATH[--svg][--png][--scope=<SCP>]test.py[-h|--help]test.py-v

Arguments:PATHThepathtodirectorythatyouwanttogenerateitsgraph.Thiscanbetherootofaprojectandcode2graphwillrecursivelyfindsallthepythonfilesthereorjustanydirectorycontainingpythonfiles.Note:thepathmustendwith"/"forexample:("/home/guest/workspace/")Options:-h--helpShowthisscreen--svgGeneratesansvgfileinadditiontothedotfiles--pngGeneratesapngfileinadditiontothedotfiles--scope=<SCP>Definesthescopeofthegeneratinggraph:file-->graph(dotfile+svg/png)willbecreatedonlyforeachpythonfileandwillbesavedwiththesamenameandatthesamepathofthefileproject-->graph(dotfile+svg/png)willbecreatedonlyforthewholeproject(PATH)andsinglegraphswillnotbecreatedforeachpythonfileall-->bothwillbegenerated[default:all]-vVersion# Example usage:$code2graph.py/home/user/workspace/code2graph/sample_graph/--png--scopeallThe above example usage will generate one dot file and one png file for each python file in thesample_graphdirectory and in addition to that it will also generate one dot file and one png file for all the python files in that directroy which you can see here as an example:
Package: code2html
Convert source code repository to HTML files.BriefDo you like reading source code on your mobile devices?HTML is a light-weight format (unlike PDF or EPUB) that can be easily read on
every browser-included mobile device.code2htmlis a tool converts source code repository to HTML format files so
that you can put them into your mobile devices and read it whenever and
wherever with a beautiful syntax highlight (thanksVim).Get rid of those social networking applications, start toenjoy code reading.RequirementsBy taking advantages of the magicTOhtmlfunction fromVim,code2htmlrequires you haveViminstalled. Also if you specify
a non-default color scheme to use, it must be available on your system as well.Usagecode2html [-h] [--color COLOR] [--include INCLUDES] [--pre] input output

positional arguments:
  input               Path to the source code repository
  output              Path for saving output files

optional arguments:
  -h, --help          show this help message and exit
  --color COLOR       Specify the color scheme use for syntax highlighting
  --include INCLUDES  Specify file matching patterns, then only the matched
                      files will be convert. Wild card characters are
                      supported. e.g. --include="*.c" --include="?.py"
  --pre               Instead of actually performing the conversion, simply
                      display what *would* have been converted if --pre
                      weren't usedExample 1Use--preto check what would be converted:$ code2html --pre --include="*.cpp" /path/to/input /path/to/outputExample 2Convert all Python sources,ext.cand a README file from/path/to/inputto/path/to/output, usingjellybeansas the syntax highlight scheme:$ code2html --color=jellybeans --include="*.py" --include="ext.c"
--include="README.rst" /path/to/input /path/to/outputExample 3Put the source code files into your mobile devices and find a good file
manager to organize them. And then next time you wait for lunch, bus,
girlfriend (FIXME!), etc.,read some code!
Package: code2image
Create code snippet with pygments and pillow.Install$pipinstallcode2imageBasic uses$pythonexamples/shadow.pyThis package was developed to automate some boring image creation process. But
it has also a script for some command line fun.$code2image--helpusage:code2image[-h][--kind{simple,shadow,background}][--imagenameIMAGENAME][--codeCODE][--backgroundBACKGROUND][--font-sizeFONT_SIZE][--font-nameFONT_NAME][--line_padLINE_PAD][--line-numbers][--shadow-colorSHADOW_COLOR][--shadow-dtSHADOW_DT][--offsetOFFSET][--blurBLUR][--epilogEPILOG]codefileCreatenicecodesnippetspositionalarguments:codefileThecodefileoptionalarguments:-h,--helpshowthishelpmessageandexit--kind{simple,shadow,background}Changetheresult--imagenameIMAGENAMETheoutputimage--codeCODECodebackgroundcolor--backgroundBACKGROUNDImagebackgroundcolor--font-sizeFONT_SIZEfontsize--font-nameFONT_NAMEfontname--line_padLINE_PADlinepad--line-numberslinenumbers--shadow-colorSHADOW_COLORShadowcolor--shadow-dtSHADOW_DTShadowoffset--offsetOFFSETBorderwidth--blurBLURShadowblur--scaleSCALEAscale--epilogEPILOGAepilogTo create nice images for instagram:$code2image--kindbackground--scale1/pathe/to/code/filePython examplesfromcode2image.clsimportCode2Imagec2i=Code2Image()# load the source code from this filewithopen(__file__)asf:code=f.read()# create the image with highlighted codeimg=c2i.highlight(code)# save the imageimg.save('simple.png')See the “examples” folder for more.DevelopmentClone repo$gitclonehttps://github.com/axju/code2image.gitCreate virtual environment for linux$python3-mvenvvenv$sourcevenv/bin/activateor create virtual environment for windows$python-mvenvvenv$venv/Scripts/activateupdate dev-tools$python-mpipinstall--upgradewheelpipsetuptoolstwinetoxflake8Install local$pipinstall-e.Publish the packages$pythonsetup.pysdistbdist_wheel$twineuploaddist/*Run some tests$flake8code2image$pythonsetup.pytest$python-munittestdiscover-v$toxI do not know why, but tox will fail :(
Package: code2img
Code2imgUse code2img from terminal to generate images of your source code_     ___ _           
 ___ ___ _| |___|_  |_|_____ ___ 
|  _| . | . | -_|  _| |     | . |
|___|___|___|___|___|_|_|_|_|_  |
                            |___|code2imgis a simple tool to generate an image from a local file or
from a GitHub repository. It can also be used to send the source code
to carbon.now.sh and generate the image there.Installationcode2imgis available onPyPi(MIT license)
and installation can be performed by runningpippython -m pip install code2imgTo upgrade the package:python -m pip install code2img --upgradeTo delete the package:python -m pip uninstall code2imgExampleTo generate an image from a local file:> python -m code2img main.py -s
Done!
Image created in current directory: main.pngTo generate an image from a GitHub repository:> python -m code2img soluciones/fibonacci.py -g
Done!
Image created in current directory: fibonacci.pngYou can also send the content of the source code to carbon.now.sh:> python -m code2img main.py -c
Sent to Carbon.now.sh

> python -m code2img soluciones/fibonacci.py -gc
Sent to Carbon.now.shHelp command:> code2img -hor:> code2img --helpContributionIf you'd like to contribute, fork the repository, commit your changes to main branch
and send a pull request.
Make sure you add yourself to authors.