Saravanan666/pypi-org huggingface dataset:
Package: codedjson
Coded Javascript Object NotationFor PythonCJSON is a data file format(inspired from JSON), but supports logical expressions too. Having extended language support to NodeJS, Python and Java, users has experienced data reusability. For features and examples, please refer to this documentation as base document.Installationpip install codedjsonExamplesImporting a JSON file in CJSON filefile.cjson{
    "source": $import "path/to/source.json",
    "target": {
        "fruit": "Apple",
        "size": "Large",
        "color": "Red"
    }
}Codefrom cjson import Cjson
    cjson = Cjson(file/path/to/file.cjson);
    var b = cjson.deserialize();Output{
    "source": {
        // source.json content
    },
    "target": {
        "fruit": "Apple",
        "size": "Large",
        "color": "Red"
    }
}Calling relative keys using JPATHBelow example showscolorvariable is calling data fromfruitvariablefile.cjson{
    "target": {
        "fruit": "Orange",
        "size": "Medium",
        "color": $.target.fruit
    }
}Codefrom cjson import Cjson
    cjson = Cjson(file/path/to/file.cjson);
    var b = cjson.deserialize();Output{
    "target": {
        "fruit": "Orange",
        "size": "Medium",
        "color": "Orange"
    }
}Dynamic variable injectionfile.cjson{
    "target": {
        "types": "asd",
        "fruit": <fruit>,
        "quantity": <quantity>,
    },
    "jsonInjection": <jsonTypeData>
}Codecjson = Cjson(variable_injection)

        injec_data = {
            "fruit": "apple",
            "quantity": 1,
            "jsonTypeData": {
                "secondaryData": {
                    "type": "fruit",
                    "seeds": "yes"
                }
            }
        }

    data = cjson.inject(injecting_obj=injec_data)Output{
    "target": {
        "types": "asd",
        "fruit": "apple,
        "quantity": 1,
    },
    "jsonInjection": {
        "secondaryData": {
            "type": "fruit",
            "seeds": "yes"
        }
    }
}Single/ Multiple line commentsFor single line comments, use//For multi line comments, use like below:// This is first line comment
// This is the second one

{
    "name": "Amrut" // This is not allowed
}
Package: codedog
🐶 CodedogReview your Github/Gitlab PR with ChatGPTWhat is codedog?Codedog is a code review automation tool benefit the power of LLM (Large Language Model) to help developers
review code faster and more accurately.Codedog is based on OpenAI API and Langchain.QuickstartReview your pull request via Github AppInstall our github appcodedog-assistantStart with your own codeAs a example, we will use codedog to review a pull request on Github.Install codedogpipinstallcodedogcodedog currently only supports python 3.10.Get a github pull requestfromgithubimportGithubgithub_token="YOUR GITHUB TOKEN"repository="codedog-ai/codedog"pull_request_number=2github=Github(github_token)retriever=GithubRetriever(github,repository,pull_requeest_number)Summarize the pull requestSincePRSummaryChainuses langchain's output parser, we suggest to use GPT-4 to improve formatting accuracy.fromcodedog.chainsimportPRSummaryChainopenai_api_key="YOUR OPENAI API KEY WITH GPT4"# PR Summary uses output parserllm35=ChatOpenAI(openai_api_key=openai_api_key,model="gpt-3.5-turbo")llm4=ChatOpenAI(openai_api_key=openai_api_key,model="gpt-4")summary_chain=PRSummaryChain.from_llm(code_summary_llm=llm35,pr_summary_llm=llm4,verbose=True)summary=summary_chain({"pull_request":retriever.pull_request},include_run_info=True)print(summary)Review each code file changes in the pull requestreview_chain=CodeReviewChain.from_llm(llm=llm35,verbose=True)reviews=review_chain({"pull_request":retriever.pull_request},include_run_info=True)print(reviews)Format review resultFormat review result to a markdown report.fromcodedog.actors.reporters.pull_requestimportPullRequestReporterreporter=PullRequestReporter(pr_summary=summary["pr_summary"],code_summaries=summary["code_summaries"],pull_request=retriever.pull_request,code_reviews=reviews["code_reviews"],)md_report=reporter.report()print(md_report)DeploymentWe have a simple server demo to deploy codedog as a service with fastapi and handle Github webhook.
Basicly you can also use it with workflow or Github Application.seeexamples/server.pyNote that codedog don't have fastapi and unicorn as dependency, you need to install them manually.ConfigurationCodedog currently load config from environment variables.settings:Config NameRequiredDefaultDescriptionOPENAI_API_KEYNoApi Key for calling openai gpt apiAZURE_OPENAINoUse azure openai if not blankAZURE_OPENAI_API_KEYNoAzure openai api keyAZURE_OPENAI_API_BASENoAzure openai api baseAZURE_OPENAI_DEPLOYMENT_IDNoAzure openai deployment id for gpt 3.5AZURE_OPENAI_GPT4_DEPLOYMENT_IDNoAzure openai deployment id for gpt 4
Package: codeepy
CodeePyCodeePy has been created to allow Codee the robot from the Creative Science Foundation to be controlled via Python.Getting started with CodeePyRequirementsCodeePy requires Python 3.4 or greater to be installed on your machine, it can be downloaded for free from thePython website.We recommend usingPycharm IDEas your initial development tool, please note students, educators and educational facilities have free access to the professional version and there is also a free community version.Setting up your development environmentCreate a new project, being sure to specify the Python 3.4 interpreter.
Open the terminal within PyCharm and install CodeePy with pip (which will also install any dependencies)
For more information regarding pip please visit ourmodule pagepipinstallcodeepyGetting startedWithin your project create a new Python file, initially you will need to import CodeePy, and create an instance of CodeePy.
I have included a helper which will list your com ports, additionally CodeePy documentation can be viewed with the help(CodeePy) function belowfromcodeePyimportCodeePy# view CodeePy Documentationhelp(CodeePy)CodeePy.get_com_ports()# create CodeePy Instance and open connectioncodee=CodeePy('<Your COM port>')Now you have created your instance object please see the Example.py file to test the CodeePy functions.Upgrading CodeePypipinstallcodeepy--upgradeAbout Codee & Creative-RobotixCreative-Robotix can be used by teachers, parents, children, adults, in groups or as
individuals to address core STEAM (Science, Technology, Engineering, Arts & Maths) learning
and making activities in a fun, hands-on, social and interactive way. Our open-source
platform can be used by anyone from 7 years up who are interested in learning more about
technology. The tasks are carefully designed to fit the abilities of all ages, ranging from
simple to more complex assembly, depending on your age, knowledge and guidance
availableBuilding CodeeFor more information on how to create Codee including 3D printing files and firmware please visitInstructablesFor more information on the Creative Science Foundation please visitCreativeRobotix
Package: code-evaluation
EvaluationThe goal is to provide a safer way to eval/exec code and provide some
utilities.DISCLAIMER: This is still not sandboxed nor fool-proof and will never
be. The user should not trust unverified inputs and is the only one
responsible for the extra variables he provides. Even though the modules
allow to change the globals variables used for eval/exac, I am not
responsible for any addons to the globals either.UsageBasique eval_code/exec_codeWork in the same way as eval/exec, but with limited set of action
possibles. Especially:

-  IO is removed (no open/file/print/… available)
-  No complex declaration (classes, functions, …)
-  we are limited to a single statement
Package: code-extractor
Python code extractorPython code extractorDependenciesWritten in purePythonand has no dependencies other than the base libraries.InstallationFrom source code:pip install .FromPyPI:pip install code-extractorImportMain functionsimportcode_extractorfromcode_extractorimportextract_code,load_codePickle APIimportcode_extractor.pickleor as a drop-in forpickle:importcode_extractor.pickleaspickleUsageGiven the following:classClass:def__init__(self):self.test=42deffunction():return42Use>>>importcode_extractor>>>extracted_class=code_extractor.extract_code(Class)>>>extracted_function=code_extractor.extract_code(function)>>>reconstructed_class=code_extractor.load_code(extracted_class)>>>instance=reconstructed_class()>>>instance.test42>>>reconstructed_function=code_extractor.load_code(extracted_function)>>>reconstructed_function()42Pickle module>>>importcode_extractor>>>code_extractor.dump(...)>>>code_extractor.dumps(...)>>>code_extractor.load(...)>>>code_extractor.loads(...)Or>>>importcode_extractor.pickleaspickle>>>pickle.dump(...)>>>pickle.dumps(...)>>>pickle.load(...)>>>pickle.loads(...)
Package: codefast
A package encapsulating a few frequently used functions for faster Python programming.Installpython3 -m pip install codefastOr, update to latest version with:python3 -m pip install codefast --upgradeUsage1. Manipulate JSON Filesimportcodefastascf# read filejson_content=jsn.read('json_file.json')# write filejson.write(json_content,'/tmp/json_file.json)2. Manipulate CSV Filesimportcodefastascf# read filecontent=cf.csv.read('somefile.csv')# write filecf.csv.write(content,'somefile.csv')3. Manipulate normal Filesimportcodefastascf# read filecontent=io.read('somefile.txt')# or content = cf.file.read# write fileio.write(content,'somefile.txt')4. Loggingimportcodefastascfcf.info("Here we go")cf.warn("Not good, something went wrong")cf.error("Unexpected result")5. Othersimportcodefastascfcf.post('www.abcde.com',json={})# encapsulate requests.postcf.get('wwww.example.com')# encapsulate requests.getcf.shell('ls -lt')# run system command
Package: code-fetch
Code FetchCode fetch is a command line tool for fetching code from a single file on GitHub instead of cloning the whole repository.InstallationInstall the package from PyPi:pip install code_fetchorpip3 install code_fetchInstall the package from source:git clone https://github.com/mordy-python/code-fetch.gitcd code-fetchpython setup.py installUsagepython -m code_fetch [OPTIONS] USER REPO FILE

Options:
  --save            Save the file to disk
  --save-file TEXT  The output file
  --help            Show this message and exit.
Package: code-first-pipelines
Code-First PipelinesA framework built on top ofPloomberthat allows code-first definition of pipelines.No YAML needed!InstallationTo get the minimum code needed to use the pipelines, install it from PyPI:pipinstallcode-first-pipelinesUsagePipelinesimportpandasaspdfromsklearnimportdatasetsfromcf_pipelinesimportPipelineiris_pipeline=Pipeline("My Cool Pipeline")@iris_pipeline.step("Data ingestion")defdata_ingestion():d=datasets.load_iris()df=pd.DataFrame(d["data"])df.columns=d["feature_names"]df["target"]=d["target"]return{"raw_data.csv":df}iris_pipeline.run()See thetutorial notebookfor a more comprehensive example.ML Pipelinesimportpandasaspdfromsklearnimportdatasetsfromcf_pipelines.mlimportMLPipelineiris_pipeline=MLPipeline("My Cool Pipeline")@iris_pipeline.data_ingestiondefdata_ingestion():d=datasets.load_iris()df=pd.DataFrame(d["data"])df.columns=d["feature_names"]df["target"]=d["target"]return{"raw_data.csv":df}iris_pipeline.run()See thetutorial notebookfor a more comprehensive example.Getting started with a templateOnce installed, you can create a new pipeline template by running:pipelinesnew[pipelinename]
Package: codeflare-torchx
TorchXTorchX is a universal job launcher for PyTorch applications.
TorchX is designed to have fast iteration time for training/research and support
for E2E production ML pipelines when you're ready.TorchX currently supports:Kubernetes (EKS, GKE, AKS, etc)SlurmAWS BatchDockerLocalRay (prototype)GCP Batch (prototype)Need a scheduler not listed?Let us know!QuickstartSee thequickstart guide.DocumentationStable DocumentationNightly DocumentationRequirementstorchx:python3 (3.8+)PyTorchoptional:Docker(needed for docker based schedulers)Certain schedulers may require scheduler specific requirements. See installation
for info.InstallationStable# install torchx sdk and CLI -- minimum dependenciespipinstalltorchx# install torchx sdk and CLI -- all dependenciespipinstall"torchx[dev]"# install torchx kubeflow pipelines (kfp) supportpipinstall"torchx[kfp]"# install torchx Kubernetes / Volcano supportpipinstall"torchx[kubernetes]"# install torchx Ray supportpipinstall"torchx[ray]"# install torchx GCP Batch supportpipinstall"torchx[gcp_batch]"Nightly# install torchx sdk and CLIpipinstalltorchx-nightly[dev]Source# install torchx sdk and CLI from source$pipinstall-egit+https://github.com/pytorch/torchx.git#egg=torchx# install extra dependencies$pipinstall-egit+https://github.com/pytorch/torchx.git#egg=torchx[dev]DockerTorchX provides a docker container for using as as part of a TorchX role.See:https://github.com/pytorch/torchx/pkgs/container/torchxContributingWe welcome PRs! See theCONTRIBUTINGfile.LicenseTorchX is BSD licensed, as found in theLICENSEfile.
Package: codeforces
Codeforces CLI [WORK IN PROGRESS]A simple command line tool to move your competitive programming workflow to your terminal.How to install?1. Install using pip$ pip install -U codeforces==0.1.1a0
$ cf --help2. Install from sourceClone the repo$ git clone https://github.com/Nirlep5252/codeforces-cliInstall it$ cd ./codeforces-cli
$ python3 -m pip install build
$ python3 -m build
$ python3 -m pip install dist/codeforces-0.0.1-py3-none-any.whl --force-reinstallHappy coding!$ cf --helpCurrent commands:cf config- save your username, password, problems-directorycf contests- list all the current or upcoming contestscf contests {ID}- view all the problems of an ongoing contestcf parse {Contest ID} {Problem ID | Optional} {--lang | Optional}- parse the problem and its test casescf run {FILE}- check the test cases for the current problem (works based on current directory)cf submit {FILE}- submit the problem (requires config) (works based on current directory)cf unsolved- return the list of all your unsolved problemscf edit {CONTEST ID}- open the contest folder in the editor of choice (only 3 supported so far)TODO commands:cf standings {Contest ID | Optional}- show all the standings of an ongoing of finished contestscf suggest- suggest a problem based on your current ratingTODO features:Support all languages in runA problem recommendation system, maybe?
Package: codeforces-cli
Codeforces-cliPython packageThis package lets you show data for various methods in tabular format in your terminal.These following methods you can run:blogEntry.commentsblogEntry.viewcontest.hackscontest.listcontest.ratingChangescontest.statusproblemset.problemsproblemset.recentStatususer.blogEntriesuser.infouser.ratinguser.statusHow to install ?pip install codeforces-cliHow to use ?python -m codeforces [method name] [required parameter with value] [optional paramters with value]Example:To get details of contest status.`python -m codeforces --contest-status --constestId 566 --handle Gellertke --from 1 --count 10
`orpython -m codeforces -cs -cid 566 -h Gellertke -f 1 -c 10OutputFor helppython -m codeforces --helporpython -m codeforces -hPackage required:beautifulsoup4requeststabulateThanks for Installing!
Package: codeforces-client
codeforces-clientCodeforces Client is a Python library and tooling for working with Codeforces.InstallationUse the package managerpipto install codeforces-client.pipinstallcodeforces-clientTo configure default params like your codeforces handle or favorite programming language you can use:cf-cliconfigYou can load all submissions you made to codeforces before with:cf-cliloadLoad could be specified with different params i.e. next command will load all submissions, including unsuccessfultouristmade for the contest2indelphi. Please use--helpfor detailed info.cf-cliload--handle=tourist--contest-id=2--verdict=any--language=delphiUsageimportcodeforces_clientascfContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.Licensegpl-3.0
Package: codeforces-dl
!!!Attention: Please installcompetitive-dlinstead of this one . It has a lot more features than this one !!!DescriptionCodeforces-dllets you download specific problems/problem sets as
PDFs fromcodeforces.comfor offline practiceInspired bytopcoder-dlRequirementsBeautifulSoup4$ pip install beautifulsoup4or$ sudoapt-getinstallpython-beautifulsoup4pdfkit$ sudo pip install pdfkitwkhtmltopdf(This dependency has to
be installed manually)$ sudoapt-getinstall wkhtmltopdfInstallationFrom source :gitclonehttps://github.com/shravan97/codeforces-dl.gitcdcodeforces-dlpythonsetup.pyUsing pip :sudopipinstallcodeforces-dlBy downloading the Zip/Tar fileYou can also download the zip/tar file fromhereand then unzip the contents to a folder and runpythonsetup.pyUsageusage:codeforcesdl[-h][-contestCONTEST][-problemPROBLEM][-langLANG][-dirDIR][-outOUT]optionalarguments:-h,--helpshowthishelpmessageandexit-contestCONTESTcontestid(Foreg.681,439..etc)-problemPROBLEMproblemindex(Foreg.A,C..etc)-langLANGprintinglanguage-dirDIRpathtothedirectoryinwhichtheoutputfilehastobesaved-outOUTyourdesirednameforoutputfileSample Usagecodeforcesdl-contest682-problemA-dirDemo-outmy_fav_problem.pdfcodeforcesdl-contest678-dirDemo-outproblems.pdf(Please checkDemofolder for the sample documents)ContributionsFound something useful to contribute to this project ? Please feel free
to give a pull request :smile:Contributorsshravan97LicenseGNU General Public License v3 (GPLv3)
Package: codeforces-translate
codeforces translateGithubBlog安装pipinstallcodeforces-translate如果你换源了，请使用以下命令进行安装pipinstall-ihttps://pypi.org/simple/codeforces-translate注意警告，若警告 python script 路径未添加到系统 PATH 中，请及时添加。更新pipinstall--upgradecodeforces-translate基本功能翻译一个问题翻译一场比赛输出为 $pdf$快速使用# cf-translate contest_id# 翻译 Codeforces Round 859 (Div. 4)# https://codeforces.com/contest/1807/problemscf-translate1807# 翻译 The 2022 ICPC Asia Xian Regional Contest# https://codeforces.com/gym/104077/problemscf-translate104077# cf-translate contest_id id# 翻译 Codeforces Round 859 (Div. 4) 的 A 题# https://codeforces.com/contest/1807/Acf-translate1807A# 翻译 The 2022 ICPC Asia Xian Regional Contest 的 A 题cf-translate104077A以上命令会在当前路径下生成翻译后的 $markdown$ 文档，然后在支持 $markdown$ 的程序里预览效果注意翻译一场比赛时，暂不支持无 problems 的比赛，你可以选择单独翻译一道问题翻译采用谷歌翻译，请确保你能正常访问谷歌翻译有时 codeforces 会挂掉，此程序会查询 5 分钟
Package: codeformer-pip
Towards Robust Blind Face Restoration with Codebook Lookup TransformerThis repo is a PyTorch implementation of the paperCodeFormer.Installationpipinstallcodeformer-pipUsagefromcodeformer.appimportinference_appinference_app(image="test.jpg",background_enhance=True,face_upsample=True,upscale=2,codeformer_fidelity=0.5,)Citation@inproceedings{zhou2022codeformer,author={Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change},title={Towards Robust Blind Face Restoration with Codebook Lookup TransFormer},booktitle={NeurIPS},year={2022}}LicenseThis project is licensed under NTU S-Lab License 1.0. Redistribution and use should follow this license.
Package: codeframe
COMPLETE REFACTOR --------- LAST WORKING VERSION HEREProject codeframeCreates a simple package structure, Fire, git, PyPI, bumpversion,
pytest and configfile readyIntroductionTo create a new python project is a bit tedious task, especially if one
doesn't know how to.This purpose of this package is to make a simple, but still functional
project structure.Installationpip3 install codeframeUsageTry just:codeframe myproject myunitThis will create:subdirectory namedmyprojectand inside:hardlinktobin/myprojectnamedbin_myproject,unitmyunit, that is soft-linked astest_myunit, so it works
withpytest,version.py, that works withbumpversionsubsubdirectorymyproject, that contains softlinks to../so
that the package structure workssetup.pyfile, where you need to fill the requirements list and
other thingsREADME.org, that will generateREADME.mdwhen./distcheckis
runwithconfigmodule itcreatesa new config DIR~/.config/myprojectand some less important stuffHighlights:The modules should be callable injupyterthat is opened in themyprojdirectory.The hardlinkbin_myprojectmake the script insidebin/callable
(but git pull from elsewhere looses the hardlink!)Installable on local system with the usual commandpip3 install -e .configmodule can be both - used at a new project and imported
from any projectfrom codeframe import config./distcheckgeneratesREADME.mdcreates git commitbumpversion releasepushes to PyPINotes for developmentThanks toFire, each module can be developed separately and CLI can be
finally tuned inbin/myproject(hard-linked tobin_myproject) file.TODOtopbar from gregorykeyenter''
Package: codefree
Documents:https://codefree.readthedocs.io/CodeFreeCodeFree:Makenocodeareality.
Youcanstarthisrepositorytokeeptrackoftheprojectifit'shelpfulforyou,thankyouforyoursupport.Support SourcesSourceOfficial Website of the SourceCore CodeReferenceStackoverflowclickclickclickInstallPip installrun"pip install codefree"Source code install(1)Offline
Step1:gitclonehttps://github.com/CharlesPikachu/codefree.git
Step2:cdcodefree->run"python setup.py install"(2)Online
run"pip install git+https://github.com/CharlesPikachu/codefree.git@master"Quick StartSearch Codefromcodefreeimportcodefreeengine=codefree.CodeFree(keyword='quick sort')code=engine(return_code=True)print(code)Execute Codefromcodefreeimportcodefreeengine=codefree.CodeFree(keyword='quick sort')lst=[2,5,1,4,6,10,3]g={'lst':lst}engine(return_code=False,globals=g,following_code='result = quickSort(lst)')print(g['result'])ScreenshotProjects in Charles_pikachuGames: Create interesting games by pure python.DecryptLogin: APIs for loginning some websites by using requests.Musicdl: A lightweight music downloader written by pure python.Videodl: A lightweight video downloader written by pure python.Pytools: Some useful tools written by pure python.PikachuWeChat: Play WeChat with itchat-uos.Pydrawing: Beautify your image or video.ImageCompressor: Image compressors written by pure python.FreeProxy: Collecting free proxies from internet.Paperdl: Search and download paper from specific websites.Sciogovterminal: Browse "The State Council Information Office of the People's Republic of China" in the terminal.CodeFree: Make no code a reality.DeepLearningToys: Some deep learning toys implemented in pytorch.DataAnalysis: Some data analysis projects in charles_pikachu.Imagedl: Search and download images from specific websites.MoreWeChat Official AccountsCharles_pikachu