Saravanan666/pypi-org huggingface dataset:
Package: nikeplusapi
# Nikeplus data exportThe purpose of this project is to export your[nike plus](http://nikeplus.nike.com/plus/) data to CSV format.## Install- Install package with the standard `pip` workflow:- `pip install nikeplusapi`- Install package for development:- git clone repositiory- cd into repository- `pip install .` OR `python setup.py develop` OR `python setup.py install`Now you should have a top-level script called `nikeplusapi`.Run `nikeplusapi -h` to verify install worked properly.## Usage1. The only requirement for this script is the NikePlus API access token.  Youcan get your token by logging into the[Nike developer site](https://developer.nike.com/login/) with your Nike+account credentials.2. You can pass your token via the command-line `-t` option or store it in yourhome directory in a file called `.nikeplus_access_token` that will be readautomatically when the script executes.3. This script will output the CSV data directly to `stdout` so you can easilyre-direct this to a file with the following:`nikeplus > backup.csv`.
Package: nikki
NikkiCrypted Journal for personal recordsWhat is nikki ?Nikki is an easy to manage, crypted, personal journal. It uses gnupg to encrypt your journal with AES using a passphrase.How easy is it ?Nikki is easyto install:pip install nikkito use:nikki initnikki edit entry1nikki edit entry2to transfer on another computer with gitnikki git initnikki git remote add originnikki edit my thoughtsnikki git pushWhat do I need ?You need pip, and you need to set yourEDITORenvironment variable to the text editor of your choice, one exited, the journal will be crypted again
Package: nikkiepy
nikkiepyCustom python libraryCurrent featuresSocketsconnection_test(host=host, port=port)Examples:connection_test(host="127.0.0.1", port=5000)Output:Connects and inmediately disconnects from host, used to test connectionNotes:* Nonefor nowfilesmkfile(path, name, extension)delfile(file)delfolder(folder)readfile(file)Examples:mkfile(path="E:/coding/testing/python", name="testfile", extension="txt")Output:File: testfile.txt has been made in E:/coding/testing/pythondelfile(file="E:/coding/testing/python/testfile.txt")Output:File: testfile.txt successfully deleted!delfolder(folder="E:/coding/testing")Output:Folder: testing has been successfully deleted!readfile(file="file.txt")Output:The contents of file.txtNotes:* Nonefor nowcryptencrypt(file)decrypt(file)Examples:encrypt(file="E:/Coding/testing/python/file.txt")decrypt(file="E:/Coding/testing/python/file.txt")Notes:* Nonefor nowCREATED BY NikkieDevDiscord: Nikkiedev#6322Business contact:nikkieschaad@gmail.comLibraries:ossocketcryptography.fernet
Package: nikl
NIKL국립국어원(NationalInstitute ofKoreanLanguage) 언어정보나눔터: 말뭉치 파일 전처리 코드InstallationPypipipinstallniklSource Codegitclonehttps://github.com/study-artificial-intelligence/nikl.gitcdnikl
pythonsetup.pyinstallRequirementsbeautifulsoup4     (pip install beautifulspul4로 설치)Getting Started변환을 원하는 국립국어원 언어정보나눔센터의 말뭉치 사전을./data폴더에 넣어주세요.아래의 명령어에서 대괄호[, ]로 묶여있는 것들 중 선택해서 사용하세요.단,--filename에는 반드시 한 개 이상의 파일명이 들어가야 합니다.코드가 정상적으로 작동 시,./data/폴더에파일이름_info.txt,파일이름_content.txt가 생성됩니다.pythonmain.py--filename[파일명.txt][--info][--content][--newline]# ex1) python preprocess.py --filename test.txt --content --newline#      test.txt에서 단락 내용만 개행문자를 포함해서 data/test_content.txt 파일 생성# ex2) python preprocess.py --filename test2.txt test3.txt --info --content#      text2.txt와 text3.txt에서 파일의 정보와 단락 내용을 각각 저장 후 data/test2_info.txt, test2_content.txt#                                                                    data/test3_info.txt, test3_content.txt 파일 생성filename: 1개 이상의 파일명.txt 형식으로 입력해주세요. 국립국어원 말뭉치 파일 특성 상 txt 파일만 지원하고 있습니다.info: 해당 파일의전반적인 정보를 출력할지에 대한 여부를 나타냅니다. 기본값은 False 입니다.content: 해당 파일의내용를 출력할지에 대한 여부를 나타냅니다. 기본값은 False 입니다.newline: 본문 내용을 전처리 할 때, 개행문자('\n') 삽입 여부를 나타냅니다. 삽입 시 문단 별로 결과물이 출력됩니다. 기본값은 False 입니다.
Package: nikocraft
Nikocraft Python LibraryA python library with general utils and a pygame frameworkInstallationInstall via pippip install nikocraftUsageImport the library (aliasncrecommended)import nikocraft as ncTutorial is coming soonBuildClone the repositorygit clone https://github.com/Nikocraft123/Python-Nikocraft.gitExecute the setup.pypython ./setup.py sdist bdist_wheelThe wheel file is now available in./distNIKOCRAFT © 2023
Package: nile-api
This is the Python SDK for interacting withNile.InstallingThe Nile Python SDK is available onPyPI, and can be installed via:pipinstallnile-api(in a virtual environment as appropriate).UsageUsage examples of the SDK can be found in the Nileexamples repository, within the directories with-pythonin their name.Basic Example:importosfromnile_apiimportAuthenticatedClientfromnile_api.api.usersimportcreate_user,list_usersfromnile_api.models.create_user_requestimportCreateUserRequest# Create an authenticated client with a workspace auth tokenclient=AuthenticatedClient(base_url='https://prod.thenile.dev',token=os.environ.get("NILE_WS_TOKEN"))# Create a useruser=create_user.sync(workspace=os.environ.get("NILE_WORKSPACE"),client=client,json_body=CreateUserRequest(email="anon@anon.com",password="secret"),)# Log created user to consoleprint(user.email);# List all users in the workspaceusers=list_users.sync(client=client,workspace=os.environ.get("NILE_WORKSPACE"))foruserinusers:print(f"User{user.email!r}exists")DevelopmentCommands below generally make use ofnox(in some sense a Python-based, testing-centricmake).You can install it by following itsinstall instructionsfor your OS, or e.g. on macOS, by simply running:brewinstallnoxRegenerating (updating) the client is done viaopenapi-python-client.To do so, run:nox-sregenerateYou will want to test the results. First, validate that the client generated with the expected structure (packages and modules):To do so, run:nox-stestsThen you’ll want to do a quick smoke test and make sure the client actually works against Nile.
Currently we do it by runninghttps://github.com/TheNileDev/examples/tree/main/quickstart-pythonexample.
Before running it you’ll want to make sure that running the example will use the local client and not an installed one.From the local nile-py repository directory run:exportPYTHONPATH=`pwd`:$PYTHONPATHvenv/bin/python-c"import nile_api; print(str(nile_api.__path__))"cd../examples/quickstart-python./venv/bin/pythonsrc/all.pyWe pin the version of this generator itself in a requirements file.
To update the version of the generator that will be used, run:nox-supdate_openapi_requirementswhich should regenerate theopenapi-generator-requirements.txtfile which you should then commit.
Package: nilearn
nilearnNilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & friendly community.It supports general linear model (GLM) based analysis and leverages thescikit-learnPython toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.Important linksOfficial source code repo:https://github.com/nilearn/nilearn/HTML documentation (stable release):https://nilearn.github.io/InstallLatest release1. Setup a virtual environmentWe recommend that you installnilearnin a virtual Python environment,
either managed with the standard libraryvenvor withconda(seeminicondafor instance).
Either way, create and activate a new python environment.Withvenv:python3-mvenv/<path_to_new_env>source/<path_to_new_env>/bin/activateWindows users should change the last line to\<path_to_new_env>\Scripts\activate.batin order to activate their virtual environment.Withconda:condacreate-nnilearnpython=3.9condaactivatenilearn2. Install nilearn with pipExecute the following command in the command prompt / terminal
in the proper python environment:python-mpipinstall-UnilearnDevelopment versionPlease find all development setup instructions in thecontribution guide.Check installationTry importing nilearn in a python / iPython session:importnilearnIf no error is raised, you have installed nilearn correctly.Drop-in HoursThe Nilearn team organizes regular online drop-in hours to answer questions,
discuss feature requests, or have any Nilearn-related discussions. Nilearn
drop-in hours occurevery Wednesday from 4pm to 5pm UTC, and we make sure that at
least one member of the core-developer team is available. These events are held
onJitsi Meetand are fully open,
anyone is welcome to join!
For more information and ways to engage with the Nilearn team seeHow to get help.DependenciesThe required dependencies to use the software are listed in the filepyproject.toml.If you are using nilearn plotting functionalities or running the examples, matplotlib >= 3.3.0 is required.Some plotting functions in Nilearn support both matplotlib and plotly as plotting engines.
In order to use the plotly engine in these functions, you will need to install both plotly and kaleido, which can both be installed with pip and anaconda.If you want to run the tests, you need pytest >= 6.0.0 and pytest-cov for coverage reporting.DevelopmentDetailed instructions on how to contribute are available athttps://nilearn.github.io/stable/development.html
Package: nilearn-extra
Nilearn ExtraNilearn Extrais a small add-on forNilearn(Statistics for NeuroImaging in Python). It currently adds some functional connectivity measures to the mix.Installationpipinstallnilearn-extraUsage- from nilearn.connectome import ConnectivityMeasure+ from nilearn_extra.connectome import ConnectivityMeasureExtra Connectivity MatricesNilearn Extra supports two additional connectivity matrices:Chatterjee XiCorr (kind="chatterjee") is a new correlation coefficient as described inChatterjee (2019).Transfer Entropy (kind="transfer entropy") between regions X and Y is amount of uncertainty reduced in Y by knowing the past values of X. Transfer entropy is an asymmetric measure, so is the connectivity matrix.Optional Dependencies# transfer entropy connectivity requires `pyinform` package.pipinstallpyinformContributingWe use GitHub to fork and manage pull requests.LicenseBSD 3-Clause License. See theLICENSEfile.
Package: nile-coverage
nile-coverageNileplugin adding coverage reports for Cairo Smart Contracts.Getting startedInstall the plugin inside the virtual environment of your Nile project:(env):pipinstallnile-coverageNile automatically detects installed plugins using pythonentry pointsfeature. You should see the coverage command listed runningnile, and you can run the report with:(env):nilecoverageFor a full list of options run:(env):nilecoverage--helpRecipes1. Run coverage in a subset of the tests suite.Mark tests withpytest marksand use the--markargument to run a subset of tests:(env):nilecoverage-munit2. Integrate withcodecov.io.Generate a cobertura format coverage xml file named "coverage.xml" using the--xmlflag:(env):nilecoverage--xml3. Change the default folder containing Smart Contracts.If your Smart Contracts are in a different folder than "contracts" (Nile default), use the--contracts-folderflag to set the correct one:(env):nilecoverage-csrcAcknowledgementsThis package uses thestarknet-edu/cairo-coverageVirtual Machine override to get covered lines for the final report. Special thanks to@LucasLvyfrom StarkWare!
Package: nile-greet
Nile plugin example :boat:This project is an example plugin for extending functionality in Nile.Installationpip install nile-greetUsageAfter installing you should already have the command available for usage. Runnile --helpfor checking thenile greetavailability.DevelopmentFor creating new plugins follow this instructions below.Install Poetry:curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -Install dependencies:poetry installAfter having the environment setted up we can start developing. We will useclickfor extending Nile commands. All new commands must be implemented asclick.commands. Find below an implementation design template:# First, import click dependencyimportclick# Decorate the method that will be the command name with `click.command`@click.command()# You can define custom parameters as defined in `click`: https://click.palletsprojects.com/en/7.x/options/defmy_command():# Help message to show with the command"""Subcommand plugin that does something."""# Done! Now implement your custom functionality in the commandclick.echo("I'm a plugin overiding a command!")Great! Now our new Nile command is ready to be used. For Nile to detect it make sure at least version0.6.0is installed. Then modify thepyproject.tomlfile as follows:# We need to specify that click commands are Poetry entrypoints of type `nile_plugins`. Do not modify this
[tool.poetry.plugins."nile_plugins"]
# Here you specify you command name and location <command_name> = <package_method_location>
"greet" = "nile_greet.main.greet"Testingpoetry run pytest tests
Package: niles-api-client
niles-api-clientAPI client forniles-backendwritten in python.FeaturesTODOHow to useTODOContributingGitHub is for social coding: if you want to write code, I encourage contributions
through pull requests from forks of this repository. Create GitHub tickets for
bugs and new features and comment on the ones that you are interested in.Licenseniles-api-client is free software: you can redistribute it and/or modify
it under the terms of the GNU 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 General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.
Package: nile-verifier
⛵️✅ Nile verifier pluginPlugin forNileto verify contracts onstarkscan.co.Installationpip install nile-verifierUsagenile verify CONTRACT_PATH --network NETWORKFor example:$ nile verify contracts/uwu.cairo --network goerli
🔎 Verifying uwu on goerli...
✅ Success! https://testnet.starkscan.co/class/0x226718449b40fa299d718eb50f72af707f2210e540e11a830c2ad72a235d5e0#codeNote that the contract has to be deployed, or the verification will fail$ nile verify contracts/uwu.cairo --network goerli
❌ Could not find any contract with hash 0x226718449b40fa299d718eb50f72af707f2210e540e11a830c2ad72a235d5e0
🤔 Are you sure you deployed to goerli?LicenseMIT.
Package: niloofar
A sample Python projectA sample project that exists as an aid to thePython Packaging User
Guide'sTutorial on Packaging and Distributing
Projects.This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.The source for this project is available here.Most of the configuration for a Python project is done in thesetup.pyfile,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.This is the README file for the project.The file should use UTF-8 encoding and can be written usingreStructuredTextormarkdownwith the appropriatekey set. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.
Package: nilspodlib
NilsPodLibA python package to parse logged NilsPod binary files.Installationpip install nilspodlib --upgradeIf you have access to the mad-lab gitlab server, you can further install thenilspodrefcalrepository, which contains
reference calibrations for a selected set of NilsPod sensors.
You can install it using:pip install git+https://mad-srv.informatik.uni-erlangen.de/MadLab/portabilestools/nilspodrefcal.git --upgradeFor users of NilsPodLib v1.0With v2.0.0 the name of the library was updated fromNilsPodLibtonilspodlibto comply with the recommended naming
style for Python packages.
Therefore, you need to update your import path, when updating to the new version!For developerInstall Python >=3.8 andpoetry.
Then run the commands below to get the latest source and install the dependencies:gitclonehttps://github.com/mad-lab-fau/NilsPodLib.gitcdnilspodlib
poetryinstallTo run any of the tools required for the development workflow, use the poe commands:CONFIGURED TASKS
  format         
  lint           Lint all files with Prospector.
  check          Check all potential format and linting issues.
  test           Run Pytest with coverage.
  docs           Build the html docs using Sphinx.
  bump_versionby callingpoetryrunpoe<commandname>
Package: niltype
Nil TypeNull value for cases whenNoneis part of a data modelfromniltypeimportNilifxisNil:# True only if x is NilpassExamplefromniltypeimportNildefget(dictionary,key,default=Nil):try:returndictionary[key]exceptKeyError:ifdefaultisnotNil:returndefaultraiseget({},'key')# raises KeyErrorget({},'key',None)# returns NoneInstallationpip3installniltype
Package: niluclient
niluclientPython client for getting air pollution data from NILU sensor stations in Norway.
The package comes with clients that can fetch and cache data from nilus api.AcknowledgementsAccording to theapi documentationfrom nilu.no and luftkvalitet.info,
when using data fetched through this client an acknowledgement to both
nilu.no and luftkvalitet.info needs to be included.UsageFinding all station in an area:importniluclientasnilustations=nilu.lookup_stations_in_area('Bergen')Finding all stations and sensor reading within 20 km from a location:importniluclientasniluclient=nilu.create_location_client(60.123456,5.123456)# name of all stations found.station_names=client.station_names# dict of all stations with readings.stations=client.station_data# all stations NO2 readingsforstationinstations:no2_value=station.sensors[nilu.NO2].valueFinding readings from a specified station, and update cached value:importniluclientasniluclient=nilu.create_station_client('Kannik')no2_value=client.data.sensors[nilu.NO2].valueno2_unit=client.data.sensors[nilu.NO2].unit_of_measurement# after an hour. (Data from the api will only update on the hour)client.update()new_no2_value=client.data.sensors[nilu.NO2].valueClient api coverageAir quality index:Fetch measured value and index.GET /aq/utd (Implemented for station filtering) -niluclient.NiluStationClientGET /aq/utd/{latitude}/{longitude}/{radius} -niluclient.NiluLocationClientGET /aq/historical/{fromtime}/{totime}/{station}GET /aq/historical/{fromtime}/{totime}/{latitude}/{longitude}/{radius}Observations:Fetch measured value.GET /obs/utdGET /obs/utd/{latitude}/{longitude}/{radius}GET /obs/historical/{fromtime}/{totime}/{station}GET /obs/historical/{fromtime}/{totime}/{latitude}/{longitude}/{radius}Day averageCalculates day average for a given time period.GET /stats/day/{fromtime}/{totime}/{station}GET /stats/day/{fromtime}/{totime}/{latitude}/{longitude}/{radius}Lookup api:Lists metadata used for filtering.GET /lookup/areas - (Partially with theniluclient.AREASconstants)GET /lookup/stations -niluclient.lookup_stations_in_area('')GET /lookup/components - (Partially with theniluclient.MEASURABLE_COMPONENTSconstants)GET /lookup/aqisSource: endpoints and description fetched fromnilu api documentation
Package: nima
NImAA library and a cli to help image analyses based on scipy.ndimage and
scikit-image.Version: “0.8.0”Featureseasy dark and flat correctionautomatic cell segmentationeasy ratio analysesInstallationYou can get the library directly fromPyPIusingpip:pip install nimaAlternatively, you can usepipxto install it in
an isolated environment:pipx install nimaTo enable auto completion for thenimacommand, follow these steps:Generate the completion script by running the following command:_CLOP_COMPLETE=bash_source nima > ~/.local/bin/nima-complete.bashSource the generated completion script to enable auto completion:source ~/.local/bin/nima-complete.bashUsageTo use nima in a project:from nima import nimaSee documentation for thenimacommand line.DescriptionA longer description of your project goes here...Notepyenv activate nima-...
poetry install pre-commitinstall before next first commit: pre-commit run --all-filesnox --session=pre-commit -- install
and activate poetry


pyenv activate nima-0.2
poetry install
pip install .so it is not installed in development mode and this version will persist to
updates.todorestore sane complexity value (< 21).
Package: nima-cast
nima_cast CLIUsage$nima_castWelcome!Type?tolistcommands.options:--no-minioand--show-debug(nima.cast)selectINFO:pychromecast:QueryingdevicestatusINFO:pychromecast:Queryingdevicestatus[0]-Bedroomspeaker[1]-LivingRoomTVPleasechooseanindex:1(nima.cast)list[0]-example_video.mp4(nima.cast)play0INFO:pychromecast.controllers:Receiver:LaunchingappCC1AD845(nima.cast)pause(nima.cast)goto0:10:0(nima.cast)pause(nima.cast)stop(nima.cast)quitINFO:pychromecast:QuitingcurrentappINFO:pychromecast.controllers:Receiver:Stoppingcurrentapp'CC1AD845'(nima.cast)exitCommandsYou can get a list of commands by enterring?:(nima.cast)?Documentedcommands(typehelp<topic>):========================================EOFexithelpplaysearchselectstreamdevicegotolistquitseekstopUndocumentedcommands:======================pauseresumeLook at the documentation for each of them by enteringhelp CMD:(nima.cast)helpplayplay[num]startsplayingthefilespecifiedbythenumberinresultsoflistInstallationInstall using pip:$pipinstallnima_castUpgrading:pipinstallnima_cast--upgradeMinio ConfigurationOn windows:setACCESS_KEY=XXXXXXXXXXXXXXXXXsetSECRET_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXsetMINIO_SERVER=YOUR_MINIO_SERVER:9000On ubuntu:exportACCESS_KEY=XXXXXXXXXXXXXXXXXexportSECRET_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXexportMINIO_SERVER=YOUR_MINIO_SERVER:9000Running the app$nima_castOptionsuse--no-miniofor streaming purposes (no need to connect to
minio).use--show-debugto see debug messages from the cast.
Package: nimagen
NIMAGEN: Statistical and Visualisation tool for NeuroIMAging GENetics studiesSee the onlinedocumentationfor detailed walkthrough of some of the package tools.Quick installpip install lehai-ml/nimagenconda install -c lehai-ml nimagenMain functions ofnimagenis toPerform mass linear regression tests and subsequent stability tests.Visualise significant results and plot them on brain mapsVisualse gene-set based analyses resultsCiteIf using this package, please cite the followingpaperLe H, Dimitrakopoulou K, Patel H, Curtis C, Cordero-Grande L, Edwards AD, Hajnal J, Tournier JD, Deprez M, Cullen H. Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project. Transl Psychiatry. 2023 Apr 10;13(1):121. doi: 10.1038/s41398-023-02413-6. PMID: 37037832; PMCID: PMC10085987.Example of a plot created withnimagenFigure 1. Example map of brain regions with accompanying legendFigure 2. Example regression multiple-plotVersion update0.0.2 - 20 March 2023 - Revamped stats module to use patsy format instead.0.0.1 - First versionThings to improvegenes.py - fix the bed_reader.to_bed, currently, the val and properties dict do not match up.genes.py - update the calculate snp associations, so that it can take in categorical data without dummy variables.