Saravanan666/pypi-org huggingface dataset:
Package: cumulusci
CumulusCICumulusCI helps build great applications on the Salesforce platform by
automating org setup, testing, and deployment for everyone --- from
developers and admins to testers and product managers.Best practices, proven at scale.CumulusCI provides a complete
development and release process created by Salesforce.org to build and
release applications to thousands of users on the Salesforce platform.
It's easy to start new projects with a standard set of tasks (single
actions) and flows (sequences of tasks), or customize by adding your
own.Batteries included.Out-of-the-box features help you quickly:Build sophisticated orgs with automatic installation of
dependencies.Load and capture sample datasets to make your orgs feel real.Apply transformations to existing metadata to tailor orgs to your
specific requirements.Run builds in continuous integration systems.Create end-to-end browser tests and setup automation usingRobot
Framework.Generate synthetic data on any scale, from a single record to a
million, usingSnowfakery.Build anywhere.Automation defined using CumulusCI is portable. It
is stored in a source repository and can be run from your local command
line, from a continuous integration system, or from a customer-facing
MetaDeploy installer. CumulusCI can run automation on scratch orgs
created using the Salesforce CLI, or on persistent orgs like sandboxes,
production orgs, and Developer Edition orgs.Learn moreFor a tutorial introduction to CumulusCI, complete theBuild
Applications with
CumulusCItrail on Trailhead.To go in depth, read thefull
documentation.If you just want a quick intro, watchthese screencast
demosof using
CumulusCI to configure a Salesforce project from a GitHub repository.For a live demo with voiceover, please see Jason Lantz'sPyCon 2020
presentationfrom minute
36 through minute 54.Questions?Ask in theCumulusCI (CCI) group in the Trailblazer
Community.Please note:CumulusCI is distributed under anopen source
licenseand is not covered by the Salesforce Master Subscription Agreement.v3.84.3 (2024-02-24)What's ChangedChanges 🎉Fix: Type Error while loading Contacts when PersonAccount is enabled by@jkasturi-sfin#3756Full Changelog:https://github.com/SFDO-Tooling/CumulusCI/compare/v3.84.2...v3.84.3
Package: cumulus-fhir-support
Cumulus FHIR SupportThis library holds FHIR support code for the Cumulus project as a whole.Installingpipinstallcumulus-fhir-supportExamplespyarrow_schema_from_rowsimportcumulus_fhir_supportrows=[{"resourceType":"Patient","id":"1","extension":[{"url":"http://hl7.org/fhir/us/core/StructureDefinition/us-core-ethnicity","extension":[{"url":"ombCategory","valueCoding":{"code":"2135-2","display":"Hispanic or Latino","system":"urn:oid:2.16.840.1.113883.6.238",}}],}]},]# The resulting schema will be both wide (every toplevel column)# and deep enough for every field in `rows`.# That is, both the non-present toplevel field "telecom" and the deeper# field "extension.extension.valueCoding.system" will be in the schema.schema=cumulus_fhir_support.pyarrow_schema_from_rows("Patient",rows)
Package: cumulus-kern
Copyright (c) 2018 The Python Packaging AuthorityPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: cumulus-library
Cumulus Library - CoreA framework for designing, executing, and distributing SQL queries packaged as "studies", e.g., for quality monitoring, clinical research, or public health. Part of theSMART on FHIR Cumulus ProjectInstallingFor end users, just runpip install cumulus-library.
For running from source, checkout the repo, and at the project root runpip install -e .. If you're not working on new features, you should check out the tag associated with the latest release.For more information,browse the documentation.
Package: cumulus-library-covid
Cumulus Library - CovidA collection of tables for generating bioinfomatics data for studying COVID-19 symptoms.
Part of theSMART on FHIR Cumulus ProjectFor more information,browse the documentation.UsageTo install the module, simply runpip install cumulus-library-covid.This will add acovid_symptomsstudy target tocumulus-library.PublicationsThe following publications leveraged this module:A computable phenotype for patients with SARS-CoV2 testing that occurred outside the hospitalLijing Wang, Amy Zipursky, Alon Geva, Andrew J. McMurry, Kenneth D. Mandl, Timothy A. Miller
JAMIA Open, 2023;, ooad047,doi:https://doi.org/10.1093/jamiaopen/ooad047The SMART Text2FHIR PipelineTimothy A. Miller, Andrew J. McMurry, James Jones, Daniel Gottlieb, Kenneth D. Mandl
medRxiv 2023.03.21.23287499; doi:https://doi.org/10.1101/2023.03.21.23287499(Preprint)
Package: cunitpy
CunitPyThis is a universal conversor. It has methods to convert measurment units and world's most popular currency.Installationpip install cunitpyHow to usefrom cunitpy import *Now, use the pattern bellow to asign a variable the converted value:Quantity.your_measurement_unit2new_measurement_unit(value)Examples:# 38° Celsius to KelvintempKel=Temperature.celsius2kelvin(38)# 250 pounds to kilogramskg=Mass.pound2kilogram(250)# 2000 Japanese Ienes to Dollarsdol=Currency.JPY2USD(2000)
Package: cunnypy
🦀 Cunny.py 🦀🔥A Blazingly Fast Image Board Library🔥📥Installation|🌟Features|⚙️Usage📥Installation✅ Getting started with Cunny.py is quick and easy! Simply install the package using your favorite tool.📥Usingpip:pipinstallcunnypy🪶Usingpoetry:poetryaddcunnypy🌟Features🔥Blazingly Fast™️🐍ModernandPythonicAPI.🚀 SupportsAnyIO,AsyncIO, andTrio.💯15boorus supported.🆔 Support foraliases.🎲 Randomize posts with thegatchaparameter.🔍 Autocomplete support forallboorus.🔢 Searchany combinationof boors at once.⚙️Usage🔎 Basic Search📝Note: You can specify additional parameters in the search function.importasyncioimportcunnypyasyncdefmain():posts=awaitcunnypy.search("gelbooru","megumin")print(posts)asyncio.run(main())🔍 Basic Multi-Booru Search📝Note: To add credential support import theBooruclass.importasyncioimportcunnypyasyncdefmain():posts=awaitcunnypy.ms(["gel","safe"],"megumin")print(posts)asyncio.run(main())🤖 Autocompleteimportasyncioimportcunnypyasyncdefmain():auto=awaitcunnypy.autocomplete("gel","megumi*")print(auto)asyncio.run(main())
Package: cunyfirstapi
Welcome 👋 to CUNYFirstAPIOur GoalLooking to contribute?First of, thanks for looking to help out! We're glad to have you!
It's important that before you contribute you read the Our Goal section above.Okay so you know what we're looking to do. Here's how you can help:Contributing to the coreOur core is written in python. Since this is an API (or more so a wrapper) we need to make it as robust as possible. If your interested in adding new methods, tests, improving methods then this is the section for you. Look below at the code contributions section to get startedDevOpsThis API will be used in a few CUNYFirst related projects (Grade-Notifier, Textbook-Finder ... etc). These projects will rely heavily on this project being robust and working smoothly. If your interested in making sure each release is of the highest quality this is the section for you. Check out the code contributions section for getting started and focus on our Danger, bitrise.yml, hound.yml.Creating IssuesIssues are bound to come up. Our Issues section is where all feature requests, bug reports should go. Making sure issues are categorized is very important. Head over to the Issues section of this GitHub repo and start adding issues, features and responding.DocumentationBeing an API means developers who implement the API need a quick way to understand how to use it. If your interested in writing up code documentation look below on how to get started and focus on functions without proper documentation.We want to be inclusive. This README.md is meant to be warm but there is much room for improvement. If you like writing go ahead and edit this file. We also want/have a SETUP.md, PULL_REQUEST_GUIDE.md, CODE_OF_CONDUCT.md files. Those can all be improved or written.Code ContributingAutomaticnavigate into the folder where you want the project to existrungem install jump-starterdownload this projects starter file and place it inside the folder - Starter file can be downloaded:hererunjumpstart startManualClick the fork button at the top right of the screenNavigate to the directory where you want this projects folder to residegit clone ....... from your forkInstalling the package locally for testingTo install and run this package locally, clone the repository and inside the root directory runpython3 -m pip install --user -e .Code of ConductPlease refer toCODE OF CONDUCT
Package: cuoco
CUOCOCuoco is a tool for automatic processing of data.ExampleJson example:{
  "input_format": "csv",
  "output_format": "csv",
  "new_fileName": "new file",
  "new_file_route": "path/you/want/to/save/the/file",
  "index": "True",
  "header": "yes",
  "separator": ",",
  "num_nans": "mean",
  "str_nans": "yes",
  "caps": "lower",
  "normalize_method": "min_max",
  "normalize": [
    "Age"
  ],
  "balance_data": "yes",
  "balance_params": {
    "balance_method": "random",
    "y_col": "Age"
  }
}Import the libraryimport cuoco
from cuoco import dataPipelineUse the dataPipelinedataPipeline.readJson('/content/biostats.csv', '/content/jsonTESTFILE.json')DocumentationHow it works:
Cuoco uses a json created by the user to automatically apply data-processing functions to the desired dataset. The Json has the next values:input_format: format of the input dataset. Can be csv, parquet, orc and txtoutput_format: format of the resulted dataset. Can be csv, parquet, orc and txtnew_fileName: name of the new dataset the DataChef will writenew_file_route: route where to store the new data fileindex: if you want your final dataset to have a row index. Can be:TrueFalseheader: if yor datasets has a header. Can be yes or noneseparator: the separator of your dataset. Only applies if its csv o txt format.num_nans: method you want to use against possible numerical nans (include empties). Can be:drop: drop rows that contains nansyes: dont do anything with rows that contains nansmean: fill nans with the mean value of the columnmedian: fill nans with the median value of the columnmode: fill nans with the mode value of the columnstr_nans: method you want to use against possible string nans (include empties). Can be:yes: keep nans columnsno: drop nans columnscaps: method you want to use with strings that contains Upper and Lower case letters:no: dont do anythingupper: put all strings of string columns to uppercaselower: put all strings of string columns to lowercasenormalize_method: method to use to normalize numerical columns. Can be:no: dont normalizemax_abs: uses max absolute value to normalizemin_max: uses min - max value method to normalizez_score: uses z-score value method to normalizenormalize:write the name of the columns you want to normalizeNote: if yor dataset does not have a header, you must write the columns's names you want to
normalize in number format, if it has a header you must write the columns's names between ""balance_data: if you want to balance your data (recomended for AI datasets). Can be:yesnoInside balance_params there are two items:balance_method: mehod you want for oversampling. Can be:random: random oversamplingsmote: perform SMOTE technique for oversampling.y_col: column of the dataset you want to use as target for the balance
Package: cuparser
cuparser计数单位解析器(Counting Unit Parser)，是基于Python编写的关于计量单位的识别计算库。使用方法安装pip install cuparser使用import cuparser
result = cuparser.parse("8.88万")
print(result)关于作者邮箱：1194542196@qq.com微信：hu1194542196欢迎一起交流完善。
Package: cupcake-editor
Cupcake Editor 🧁The Cupcake Editor is an embeddable text editor with autocompletions and the fully featured code editor fromBiscuit. Scroll down to see some of the supported features.Cupcake has syntax highlighting support for over 500+ programming languages, autocompletions, minimap, and many editing features included. Written in Python using the Tkinter library.Installingpip install cupcake-editorNoteYou needpython 3.10or above.To integrate the editor into your app, here's a quick start!importtkinterastkfromcupcakeimportEditor,Languagesroot=tk.Tk()root.minsize(800,600)e=Editor(root,language=Languages.TYPESCRIPT)e.pack(expand=1,fill=tk.BOTH)e.content.insert("end","""// check this outimport "./global.css";import App from './App.svelte';const app = new App({target: document.body});export default app;""")root.mainloop()See thesecomplete samplesfor instructions onDiff viewer,Image viewerandTheming.NoteYou can run the examples from the project directory likepython examples/basic.pyThe Editor ComponentPicks the right editor based on the path, path2, diff values passed. Supports showing diff, images, text files. If no arguments are passed, empty text editor is opened.Attributesoptiontypedescriptionfield typemastertk.WidgetThe parent tkinter widgetmandatorypathstrAbsolute path to the file to be openedoptionalpath2strAbsolute path to be opened in right hand side (if diff)optionaldiffboolWhether to be opened in diffvieweroptionallanguagecupcake.LanguageThis is given priority while picking suitable highlighter. If not passed, guesses from file extension.optionaldark_modeboolSets the editor theme to cupcake dark if True, or cupcake light by default. This is ignored if custom config_file path is passedoptionalconfig_filestrAbsolute path to the custom config (TOML) file, uses theme defaults if not passed.see examplesoptionalshowpathboolWhether to show the breadcrumbs for editor or notoptionalfontstr/tk.font.FontFont used in line numbers, text editor, autocomplete. defaults to Consolas(11)optionaluifontstr/tk.font.FontFont used for other UI components (breadcrumbs, trees)optionalpreview_file_callbackfunction/lambdaCalled when files in breadcrumbs-pathview are single-clicked. MUST take an argument (path)optionalopen_file_callbackfunction/lambdaCalled when files in breadcrumbs-pathview are double clicked. MUST take an argument (path)optionalMethodsfunctiondescriptionEditor.saveIf the content is editable writes to the specified path.Editor.focusGives focus to the content.Additionally, All thetk.Textwidget methods are available underEditor.content(eg.Editor.content.insert,Editor.content.get)FeaturesSyntax Highlighting & Minimap (over 500+ languages supported)Auto completions (words + keywords)other featuresAuto IndentationDiff ViewerMinimapBreadcrumbs and Pathview treeImage ViewerFully Customizable and themable configurationsLanguage Detection from File ExtensionsDefault dark/light mode themesContributingYour contributions and support are greatly appreciated! 🧡 Seecontributingfor further details such as coding guidelines and tools used.
Package: cupfromriver
pysnowball===============quick start>>>importpysnowballasball>>>ball.set_token('xq_a_token=651af***************031c96a315c;')'xq_a_token=651af***************031c96a315c;'>>>ball.cash_flow('SH600000'){'data':{'quote_name':'浦发银行','currency_name':'人民币','org_type':2,'last_report_name':'2018三季报','currency':'CNY','list':[{'report_date':1514649600000,'report_name':'2017年报','ncf_from_oa':[-140673000000.0,0.26730141203064695],'ncf_from_ia':[37800000000.0,1.590486604702023],'ncf_from_fa':[4820000000.0,-0.9794317706599756]},{'report_date':1483113600000,'report_name':'2016年报','ncf_from_oa':[-191993000000.0,-1.5350677219775932],'ncf_from_ia':[-64015000000.0,0.8794943714468582],'ncf_from_fa':[234342000000.0,-0.042650194867269654]},{'report_date':1451491200000,'report_name':'2015年报','ncf_from_oa':[358820000000.0,0.8770859707676373],'ncf_from_ia':[-531220000000.0,-0.5512111080287921],'ncf_from_fa':[244782000000.0,2.357915963619902]},{'report_date':1419955200000,'report_name':'2014年报','ncf_from_oa':[191158000000.0,-0.3801741859756295],'ncf_from_ia':[-342455000000.0,-0.08702069578466226],'ncf_from_fa':[72897000000.0,4.966967784066173]},{'report_date':1388419200000,'report_name':'2013年报','ncf_from_oa':[308406000000.0,2.3313098144267537],'ncf_from_ia':[-315040000000.0,-1.2059925355889953],'ncf_from_fa':[-18376000000.0,-1.6123496284447998]}]},'error_code':0,'error_description':''}
Package: cuplcodec
cuplcodeccuplcodecencodes environmental sensor data into a URL. Each sample includes two 12-bit readings (temperature and humidity). These are converted to base64 and written into a circular buffer. A HMAC is written after the most recent sample in the buffer. The URL can be rendered as a QR code or stored on an NFC tag. If a tag with a URL is tapped
by a mobile phone, it opens automatically in a web browser. This allows the user to view sensor datawithout installing an app on their phones. A web application comprisingcuplfrontendandcuplbackendruns the decoder in cuplcodec, unwraps the circular buffer and displays a list of samples in the browser.TestsThe codec is tested withpytest. The encoder written in C can be tested with the decoder written in Python usingCFFI.DocumentationHosted onReadTheDocs. This includes information on how to run the encoder on an MSP430.PyPI PackageHosted onPyPI. Install the package with:pip install cuplcodecLicencecuplcodecDocumentation
Package: cupoch
CupochCore features3D data processing and robotics computation using CUDAKNNOptimizing LBVH-Construction and Hierarchy-Traversal to accelerate kNN Queries on Point Clouds using the GPUPoint cloud registrationICPColored Point Cloud RegistrationFast Global RegistrationFilterRegPoint cloud featuresFPFHSHOTPoint cloud keypointsISSPoint cloud clusteringG-DBSCAN: A GPU Accelerated Algorithm for Density-based ClusteringPoint cloud/Triangle mesh filtering, down samplingIOSeveral file types(pcd, ply, stl, obj, urdf)ROS messageCreate Point Cloud from Laser Scan or RGBD ImageVisual OdometryReal-time visual odometry from dense RGB-D imagesRobust Odometry Estimation for RGB-D CamerasKinect FusionStereo MatchingCollision checkingOccupancy gridDistance transformParallel Banding Algorithm to Compute Exact Distance Transform with the GPUPath finding on graph structurePath planning for collision avoidanceSupport memory pool and managed allocatorsInteractive GUI (OpenGL CUDA interop andimgui)Interoperability between cupoch 3D data andDLPack(Pytorch, Cupy,...) data structureSupported platformsUbuntu 18.04Windows 10With Python version: * 3.6 * 3.7 * 3.8 * 3.9and CUDA version: * 10.1 * 10.2 (Ubuntu) * 11.0 (Windows)Resourceshttps://github.com/neka-nat/cupoch
Package: cupp
cuppCommon User Password ProfilerDescriptionCUPP(Common User Password Profile) is a tool to generate target specific wordlists based on their details provided.Version**Cupp v1.3.3InstallationUsing PIP3Create a new Python Virtual Environmentpython3-mvenvenvActivate the virtualenvsourceenv/bin/activateInstall and run the toolpip3install-e.&&cupp-vOnlinerpython3-mvenv&&sourceenv/bin/activate&&pip3install-e.&&cupp-vUsing this repoGit clone the respositorygitclonehttps://github.com/thehackersbrain/cupp.gitChange the directory tocuppcdcuppCreate new python virtualenv and activate itpython3-mvenvenv&&sourceenv/bin/activateInstall the tool usingpip3pip3install-e.Onelinergitclonehttps://github.com/thehackersbrain/cupp.git&&cdcupp&&python3-mvenvenv&&sourceenv/bin/activate&&pip3install-e.&&cupp-vScreenshotsCreditThis tool is originally designed byMebushere. I tried to enhance theUIand added some functionality than the previous version and removed some redundant code, basically it's a mess;)Social HandlesPortfolioBlogGithubTwitterLinkedInInstagramMore Projects
Package: cupper
CupperCupper allows for the update of services that are created using cookiecutter. When run, it creates a new branch that contains the latest cookiecuttered code, using a JSON file with context that matches the existing service. This file can be created through cookiecutter with the following contents:{{ cookiecutter | jsonify }}The script takes two arguments: a JSON file containing configuration for cookiecutter, and the name of the branch to create.cupper .cookiecutter.json templateYou can then merge these changes into your existing code:git merge templateThis code is heavily based onhttps://github.com/aroig/cookiecutter-latex-paper/blob/master/make/cookiecutter-update.py, with a few very small changes.Note that you will need a recent version of git for this to work (it needs --no-checkout on git worktree)
Package: cuprophet
CuProphet ||Prophet built to use CUDACompile instructions:install python 3.9.8Run these:cd [insert Dir]/CuProphet-Master
  python -m cmdstanpy.install_cmdstan(version="2.32.1", dir=[put dir here], verbose=True, cores=-1)Add to PATH:~.../Users/[user]/.cmdstan/RTools40/mingw64/bin
  ~.../Users/[user]/.cmdstan/RTools40/usr/binRemove any other compilers from user path and system pathMerge these folders from thereplacefolder: \~.../Users/{user}/.cmdstan/\
  ~.../Python39/Lib/site-packages/prophet/\
  ~.../Python39/Lib/site-packages/cmdstanpy/\Run these commands:cd ".\CuProphet-Master"
  python setup.py install
  cd ".\CuProphet-Master\hppfiles"
  nvcc -o cuda_func_help.dll --shared -v -arch=sm_86 --fmad=false -g cuda_func_help.cuInstall instructionsRun this:pip install cuprophet
Package: cups-of-caffeine
Caffeinehttps://launchpad.net/caffeine/Caffeine is a small daemon that prevents the desktop from becoming idle (and
hence the screen saver and/or blanker from activating) when the active
window is full-screen.Also provided are an indicator, caffeine-indicator, that gives a manual
toggle, and caffeinate, which allows desktop idleness to be inhibited for
the duration of any command. See their man pages for more information.Caffeine is distributed under the GNU General Public License, either version
3, or (at your option) any later version. See COPYING.The Caffeine SVG icons are Copyright (C) 2009 Tommy Brunn
(http://www.blastfromthepast.se/blabbermouth), and distributed under the
terms of the GNU Lesser General Public License, either version 3, or (at
your option) any later version. See COPYING.LESSER.Caffeine uses pyewmh fromhttps://sf.net/projects/pyewmhIf you think you’ve found a bugTry running, in a terminal:window_id=`xwininfo | grep "Window id" | cut -d " " -f 4`Now click on the terminal window, and then run:xdg-screensaver suspend $window_id
xdg-screensaver resume $window_idThis performs the same steps at a lower level as turning Caffeine on then
off again manually. If this gives the same problem as using Caffeine, then
the bug is definitely not in Caffeine.Testing translationsIf you want to test out a translation without changing the language for the
whole session, run caffeine as e.g.: LANGUAGE=ru ./caffeineTo compile the translations: ./update_translations.py (this is done
automatically when building the package, so no need to do it normally).You will need a language pack for the given language. Be aware that some
stock items will not be translated unless you log in with a given language.