Saravanan666/pypi-org huggingface dataset:
Package: nfcpy
Thenfcpymodule implementsNFC Forumspecifications for
wireless short-range data exchange with NFC devices and tags. It is
written inPythonand aims to provide an easy-to-use yet powerful
framework for applications integrating NFC. The source code is
licensed under theEUPLand hosted onGitHub. Release versions
are published onPyPIforpip install-Unfcpy. Documentation
for latest development and active release versions can be found onRead the Docs. The GitHubissuestracker is the place for bug
reports or related questions. Other questions may have been or get
answered on the project’s Launchpadanswerspage orstackoverflow.
Package: nfcreader
nfcreaderPython API for CR95HF NFC reader to run on the Pi Zero. Used as a python wrapper for the existing C API provided for the CR95HF module by STMicroelectronics. However, it was found to be lacking for Linux users, as well as difficult to compile and run compared to a Python API.Free software: MIT licenseDocumentation:https://nfcreader.readthedocs.io.AbstractUse case scenario for demonstrator application: Student access to venues.
The aim was to provide better support for the CR95HF’s use for the Raspberry Pi in Python3, via an API.
A demonstrator application was created for showing the uses of the API for an access control use case:https://github.com/IanEdwards99/CR95HF_Demo_AppFeaturesUSB ConnectProtocol SelectSend ReceiveResetSPIField OffSend IRQ PulseSend NSS PulseSTCmd CommandInitiateResetToReadyMCUrevEchoIdn (Get ID number of CR95HF module)GetPinInterfaceStateReading from NFC tagWriting to NFC tagIDLE for tagScan and WriteTag detection and huntingClearing NFC tagRead entire contents of all registers from tagExtract payloadPrepare for writing and reading with dec/hex/string conversion functions.Installationpip install the file from PyUp, or clone this git repo and “make install”.
It is important to install 3 dependancies to use the CR95HF with its C library and development board:“sudo apt-get install build-essential”“sudo apt-get install g++”“sudo apt-get install libusb-1.0-0-dev”Navigate to ./nfcreader/nfcreader/src and run “make” to compile a libCR95HF.so file for your current architecture.Lastly, add libCR95HF.so, found in the src folder, to your environment variable. If your program still fails, copy it to your /lib and /usr/lib folders in your root directory.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2020-09-15)First release on PyPI.
Package: nfc-uid
NFC_UIDGet the UID / MAC / HWID of an NFC chip / CardVersion: 0.4NavigationInstallationChangelogsMigrating to 0.5DisclaimerI do not promise to maintain this project or to update it frequently!
Additions will be made if a bug is found and reported via issues or if I miss a feature or see room for improvement.
If you want to add something you can either fork or submit a enhance issue and I will merge if it seems fine.PurpI wanted to read the hwid of an nfc chip using python.
But I did not find any in the Internet soooo I made it my self.
So this script will read an nfc chip/card and return the hwid that is read using pyscard.

The HWID can be returned on multiple ways. Either typing (emulating keyboard typing) or classic return.
More details can be read in the code or function documentation.

Anyways have fun with it and if you copy it I would be happy to get a mention ^^.
I do not want the project to be abused for private/payed src so we will use GNU v3 from now onIdeasConsole usage (With argument parsing)
Add optional logger for file outputTested Hard/SoftwareWhile coding this software I only used the following Scanner, OS and python Version.
I do not gurantee that code works as intended if you change any parameter

Tested Scanner: ACR1252
Tested OS     : Windows 10
Python        : 3.7
Package: nfd2nfc
This tool can convert file system encoded in NFD mode to NFC mode.On Mac OS X, the filesystem encode file name in NFD unicode
(http://en.wikipedia.org/wiki/Unicode_normalization#Example).On GNU/Linux, by default the filesystem encode file name in NFC unicode
but it can also contain file encoded in NFD mode.You can use this tool to convert NFD to NFC.Install$ pip install nfd2nfcUsage$ nfd2nfc -h
This tool can convert file system encoded in NFD mode to NFC mode.

Usage:
  nfd2nfc <path>
  nfd2nfc <url>
  nfd2nfc -h | --help | --versionExamplesConvert on local file system (use it on GNU/Linux, not on Mac OS X) :$ nfd2nfc /home/username/myproject/You can use ssh url syntax to fix unicode on remote host :$ nfd2nfc ssh://foobar@example.com:2000:/home/foobar/www/Home page :https://bitbucket.org/harobed/convert-nfd-unicode-filesystem-to-nfc-unicodeContact :contact@stephane-klein.info
Package: nfenarede
NFe na redeVersion2022.1001FeaturesTODORequirementsTODOInstallationYou can installNFe na redeviapipfromPyPI:$pipinstallnfenaredeUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,NFe na redeis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@cjolowicz'sHypermodern Python Cookiecuttertemplate.
Package: nfer-image
# Utility module for working with images## Installation
from source:`sh cd nfer_image pip install . `## HPA Utility Tools (hpa_utils)
- image loading & download utility from s3 bucket
- image download from specific s3 bucket
- image save (pyplot based)
- image tiling
- stain estimation
- tissue mask generation## Embedding Tools
- CNN bottleneck/fully-connected layer extraction## Clustering Tools
- TSNE generation from image embeddings
Package: nfetl
nfetlShort DescriptionA python package for creation and maintenance of an NFL statistics database.Long Descriptionnfetlprovides users with a straight-forward API for creating and
maintaining their own sqlite database of NFL statistics. Statistics are sourced
fromPro-Football-Referenceusing
webscraping scripts.DisclaimerDuring development of this package, consideration was taken to prevent users
of this package from overwhelming the source web server. However, It is
recommended users read the liscense before developing using this package and
carefully consider how the planned implementation may impact source
availability.ExamplefromnfetlimportDBimportpandasaspddb:DB=DB()offense_df:pd.DataFrame=pd.read_sql("SELECT * FROM offense",db.connection)
Package: nfflr
NFFLr - Neural Force Field Learning toolkitTable of ContentsIntroductionInstallationExamplesHow to contributeCorrespondenceFunding supportNFFLr (Introduction)The Neural Force Field Learning library (docs) is intended to be a flexible toolkit for developing and deploying atomistic machine learning systems, with a particular focus on crystalline material property and energy models.The initial codebase is a fork ofALIGNN, with modified configuration and modeling interfaces for performance.InstallationWe recommend using a per-projectpyenv-virtualenvorcondaenvironment.To ensure proper CUDA support, make sure to install the GPU versions ofPyTorchandDGL. For example, to set up a conda environment on linux with with python 3.10 and CUDA 12.1:conda create --name myproject python=3.10
conda activate myproject
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
conda install -c dglteam/label/cu121 dgl
python -m pip install nfflrExamplesUnder construction here.How to contributeWe gladly acceptpull requests.For detailed instructions, please seeContributing.mdCorrespondencePlease report bugs as Github issues (https://github.com/usnistgov/nfflr/issues) or email tobrian.decost@nist.gov.Funding supportNIST-MGI (https://www.nist.gov/mgi).Code of conductPlease seeCode of conduct
Package: nfft
nfftnfft is a pure-python implementation of the nonuniform fast Fourier transform.
Its performance is comparable to that of [pynfft](https://pypi.python.org/pypi/pyNFFT),
but it contains no compiled code and requires no links to external C libraries:
it depends only on [numpy](http://numpy.org) and [scipy](http://scipy.org).For more information and links to usage examples, please see the
repositoryREADME.Licensenfftis licensed under the terms of the MIT license. See the file
“LICENSE” for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
Package: nfft-cffi
nfft-cffiis aCFFI-based interface to theNFFT, a library for
computing the non-uniform Fourier transform using a fast algorithm.Thenfft-cffisource code is released under the terms of thenew BSD
license. A separate
installation of the NFFT library is required. The NFFT library is licensed
under theGPL version 2 or later.
Package: nf-grapher
# nf-grapher-pythonThis is a Python3 library for building Native Format Scores.> **Note**: Currently this library supports _building_ Native Format Scores for the Native Format Smart Player, however reading or deserializing scores from JSON is currently unsupported.## Requirements- Python3- virtualenv## Installing```bashpip install nf_grapher```## Getting StartedSetup a virtual environment with the following:```bashvirtualenv -p python3 esource ./e/bin/activate```You can use whatever environment name you'd like, `e` is used here because it's short.## StructureThis python library is divided into 3 modules. `nf_grapher.score` contains all the Score level objectsdefined by the Native Format Score schema. `nf_grapher.typed` contains useful "typed" nodes definedby the [smart player contract](../smart-player-contract.json). Because Python is notstatically typed, these types are not yet enforced. `nf_grapher.encoder` contains a function `encode`for serializing grapher objects into JSON.## TestsRun tests with the following command:```bashpython -m unittest discover -v```## Example Usage```pythonfrom nf_grapher.score import *from nf_grapher.typed import *from nf_grapher.encoder import encode# Build a source node for a Spotify track# Start from 5.6 seconds into the track and play for 5.6 secondssource = FileNode('spotify:track:4RDKrwyA9YouzL1LxvMaxH', offset=5.6e+9, duration=5.6e+9)# Create a 5.6 second loop from the beginning of the trackloop = LoopNode(when=0, duration=5.6e+9)# Create the full scorescore = Score(Graph(nodes=[source, loop],edges=[source.connect(loop)]))print(encode(score))```You can see a list of all supported typed nodes by using the Python `help` feature in a REPL.For instance,```bashpython>>> from nf_grapher import typed>>> help(typed)```
Package: nfg.webfonts
IntroductionThis package offers easy integration withhttp://webfonts.bizAfter installing it you need to setup your apikey using
the control panel configlet at portal_url/@@webfonts-settingsHaving done so, you need to specify the DOM elements you want
to replace, and what font to use by customizing
skins/webfonts/webfonts.js.Changelog1.0 - UnreleasedInitial release
Package: nfilepicker
NFilePickerA Python package that creates a file/folder picker
withncurses.Getting Started>>>fromnfilepickerimport(...select_file,...select_folder...)>>>select_file(...'Choose a database.',...(...'.db',...'.sqlite3',...)...)'/Users/person/Desktop/list.db'>>>select_folder('Choose a folder.')'/usr/libexec'PrerequisitesOn Windows, this package requires thewindows-cursespackage.FeaturesVersion 1.0.2 has the ability to select files case insensitively. This
version of NFilePicker will display ABC123.JPG (Note the capitalized 'JPG')
as a *.jpg file.
Package: nfin
♆ NEPTUNENEPTUNEis a set of decoupledPython librariesintended to facilitate Python development:nfin,ngui,nlearn,nmath andnutil.The librarynfincontains financial utility functions; among them:time series manipulation andpricing engine (including Black-Scholes model).NEPTUNE is based on popular libraries like numpy, pandas, plotly and scipy.InstallLaunch the following commands in a shell:gitclonehttps://github.com/b-io/io.barras.gitcdio.barras/python/neptune/
mvncleaninstallLicenseFeel free to download, try and share your suggestions about the libraries,
while respectingthis MIT License (MIT).
Package: nfinder
NfinderAutomatic inference of neighboring cells based on their Delaunay triangulation.Dependenciesnfinder was tested with:python = 3.8.5napari = 0.4.12numpy = 1.21.2pandas = 1.3.4scikit-image = 0.18.3scipy = 1.7.1importlib-resources 5.4.0InstallationIt can be installed withpipfrom PyPI:pip install nfinderUsageFor usage examples, please check out thenotebookin our GitHub repository.
Package: nfiniity-utils
nfiniity-utilsDiverse python utilities byhttp://www.nfiniity.comInstallationThere are two ways to install nfiniity-utils:Install nfiniity-utils from PyPI (recommended):sudo pip install nfiniity-utilsIf you are using a virtualenv, you may want to avoid using sudo:pip install nfiniity-utilsAlternatively: install nfiniity-utils from the GitHub source:First, clone nfiniity-utils usinggit:git clone https://github.com/apgeorg/nfiniity_utils.gitThen, cd to the nfiniity_utils folder and run the install command:cd nfiniity_utils
sudo python setup.py installGetting startedTimerimportnfiniity_utilsasn8# Timer callback functiondeftimer_timeout():print("Hello!")# Create a Timer which runs periodicallyt=n8.Timer(1,timer_timeout,oneshot=False)# Start runningt.start()You can now stop the timer:t.stop()
Package: nfiparcel
nfiparcelPython package for parcel analysis and rating.featurescontract definitionszoningratessafe-guard functionsusepython-fedexif does not existoverride with python-fedex for lanespython-fedexusa-allpython package developmentshipments.csvorigin_zipdest_zipweight079811910610.219106079815.6zones.csvziprange: destination zip 3 or 5-digit.filename: origin zip 5-digit.ziprangezipzonefilename716-725799400-9949972611-72752699400-99499groundrates.csvweightzoneslbs.2341.0$7.37$7.37$7.372.0$7.37$7.37$7.373.0$7.37$7.37$7.37python scriptfromnfiparcelimportRateHelperrh=RateHelper(zones='zones.csv',groundrates='groundrates.csv')df=rh.ratecsv('shipments.csv')
Package: nflapi
nflapiPython wrapper for NFL APICreated by Todd Robertshttps://pypi.org/project/nflapiIssues (except token related):https://github.com/toddrob99/nflapi/issuesWiki/Documentation:https://github.com/toddrob99/nflapi/wikiNotice Regarding API TokenThis API wrapper does not facilitate obtaining
an access token, which is required to submit requests to the NFL API. The
author of this API wrapper is not aware of any documented method to obtain
an access token, and will not assist with this. If you do not have a valid
method of obtaining an access token, this API wrapper will be useless.Copyright NoticeThe author of this API wrapper is not affiliated with NFL. This API wrapper
does not contain any NFL data, and the use of NFL data is subject to NFL copyright
restrictions.
Package: nf-launcher
nf-launcherDescriptionInstall Nextflow launcher usingpip install nf-launcher.Nownextflowcommand is available on your path.Runnextflow infoto force it download all the dependencies (optional).Now you are ready to run a pipelinenextflow run hello.RequirementsThe Nextflow launcher requires Java and curl or wget available on your
system to be able to download Nextflow java dependencies and launch Nextflow
Package: nflbdb
AboutMy personal repository of tools to help work with the Big Data Bowl Datasets (2021 and later)Competition Homepages:20212022GoalsExtract (read and parse data)Transform (build datasets)Explore (Visualization)Modeling (Play Outcome, Player Location, Impact, Contribution to play outcome, etc.)Initial AssumptionsThe data are locally availableORcan be referenced via avalid file path
Package: nfldata
nfldataData Structures and Persistence Tools for NFL DataPre-RequisitesTo use this package, you will need to install theopenapi-generatorat:Open API Generator. Once you have that installed, you can now generate the schema in dozens of languages (see site for what is supported).How-To, a Walkthrough for Python generated objectsBegin by generating Python packages usingopenapi-generatorfrom this directory.This uses a generator set up for eventual passing of objects via JSON over Python's Flask> openapi-generator generate -g python-flask -i api/openapi.yaml -o gen/ --package-name nfldataThis is a more general purpose Python generator in case flask was not your goal:> openapi-generator generate -g python -i api/openapi.yaml -o gen/ --package-name nfldataThis will generate the entire set of schemas in Python and put them in thegen/folder. The objects will use a top-level package name of "nfldata".Now go into thegen/directory, and explore. Depending upon which generator you used, you might see adocs/folder.To generate a Python.whlfile, simply put this line at the end ofgen/setup.py:setup(name=NAME, version=VERSION, packages=find_packages())and then typepython3 setup.py bdist_wheelwhich will create a .whl file in dist/If you want to just directly install the package type:python setup.py installwhich will install it to your Python environment.Note that either of these may require elevated access to do.How-To, for other languagesThe same command shown above will generate code in other language types if you swap outpythonfor another language. Follow this link to see moregenerator types
Package: nfldb
Module nfldb provides command line tools and a library for maintaining
and querying a relational database of play-by-play NFL data. The data is
imported fromnflgame, which
in turn gets its data from a JSON feed on NFL.com’s live GameCenter
pages. This data includes, but is not limited to, game schedules,
scores, rosters and play-by-play data for every preseason, regular
season and postseason game dating back to 2009.Here is a small teaser that shows how to use nfldb to find the top five
passers in the 2012 regular season:#!python
import nfldb

db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2012, season_type='Regular')
for pp in q.sort('passing_yds').limit(5).as_aggregate():
    print pp.player, pp.passing_ydsAnd the output is:[andrew@Liger ~] python2 top-five.py
Drew Brees (NO, QB) 5177
Matthew Stafford (DET, QB) 4965
Tony Romo (DAL, QB) 4903
Tom Brady (NE, QB) 4799
Matt Ryan (ATL, QB) 4719In theory, bothnfldbandnflgameprovide access to the same
data. The difference is in the execution. In order to search data in
nflgame, a large JSON file needs to be read from disk and loaded into
Python data structures for each game. Conversely, nfldb’s data is stored
in a relational database, which can be searched and retrieved faster
than nflgame by a few orders of magnitude. Moreover, the relational
organization of data in nfldb allows for a convenientquery
interfaceto search NFL play data.The database can be updated with real time data from active games by
running thenfldb-updatescript included with this module as often
as you’re comfortable pinging NFL.com. (N.B. The JSON data itself only
updates every 15 seconds, so runningnfldb-updatefaster than that
would be wasteful.) Roster updates are done automatically at a minimum
interval of 12 hours.nfldb hascomprehensive API
documentationand awiki with
examples.nfldb can be used in conjunction withnflvidtosearch and watch
NFL game footage.If you need help, please join us at our IRC channel#nflgameon
FreeNode.
Package: nfldb3
Module nfldb provides command line tools and a library for maintaining
and querying a relational database of play-by-play NFL data. The data is
imported fromnflgame, which
in turn gets its data from a JSON feed on NFL.com’s live GameCenter
pages. This data includes, but is not limited to, game schedules,
scores, rosters and play-by-play data for every preseason, regular
season and postseason game dating back to 2009.Here is a small teaser that shows how to use nfldb to find the top five
passers in the 2012 regular season:#!python
import nfldb

db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2012, season_type='Regular')
for pp in q.sort('passing_yds').limit(5).as_aggregate():
    print pp.player, pp.passing_ydsAnd the output is:[andrew@Liger ~] python2 top-five.py
Drew Brees (NO, QB) 5177
Matthew Stafford (DET, QB) 4965
Tony Romo (DAL, QB) 4903
Tom Brady (NE, QB) 4799
Matt Ryan (ATL, QB) 4719In theory, bothnfldbandnflgameprovide access to the same
data. The difference is in the execution. In order to search data in
nflgame, a large JSON file needs to be read from disk and loaded into
Python data structures for each game. Conversely, nfldb’s data is stored
in a relational database, which can be searched and retrieved faster
than nflgame by a few orders of magnitude. Moreover, the relational
organization of data in nfldb allows for a convenientquery
interfaceto search NFL play data.The database can be updated with real time data from active games by
running thenfldb-updatescript included with this module as often
as you’re comfortable pinging NFL.com. (N.B. The JSON data itself only
updates every 15 seconds, so runningnfldb-updatefaster than that
would be wasteful.) Roster updates are done automatically at a minimum
interval of 12 hours.nfldb hascomprehensive API
documentationand awiki with
examples.nfldb can be used in conjunction withnflvidtosearch and watch
NFL game footage.If you need help, please join us at our IRC channel#nflgameon
FreeNode.
Package: nfldb-redux
Module nfldb provides command line tools and a library for maintaining
and querying a relational database of play-by-play NFL data. The data is
imported fromnflgame,
which in turn gets its data from a JSON feed on NFL.com’s live
GameCenter pages. This data includes, but is not limited to, game
schedules, scores, rosters and play-by-play data for every preseason,
regular season and postseason game dating back to 2009.Here is a small teaser that shows how to use nfldb to find the top five
passers in the 2012 regular season:#!python
import nfldb

db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2012, season_type='Regular')
for pp in q.sort('passing_yds').limit(5).as_aggregate():
    print ( pp.player, pp.passing_yds)And the output is:[andrew@Liger ~] python2 top-five.py
Drew Brees (NO, QB) 5177
Matthew Stafford (DET, QB) 4965
Tony Romo (DAL, QB) 4903
Tom Brady (NE, QB) 4799
Matt Ryan (ATL, QB) 4719In theory, bothnfldbandnflgameprovide access to the same
data. The difference is in the execution. In order to search data in
nflgame, a large JSON file needs to be read from disk and loaded into
Python data structures for each game. Conversely, nfldb’s data is stored
in a relational database, which can be searched and retrieved faster
than nflgame by a few orders of magnitude. Moreover, the relational
organization of data in nfldb allows for a convenientquery
interfaceto search NFL play data.The database can be updated with real time data from active games by
running thenfldb-updatescript included with this module as often
as you’re comfortable pinging NFL.com. (N.B. The JSON data itself only
updates every 15 seconds, so runningnfldb-updatefaster than that
would be wasteful.) Roster updates are done automatically at a minimum
interval of 12 hours.nfldb hascomprehensive API
documentationand awiki with
examples.nfldb can be used in conjunction withnflvidtosearch and watch
NFL game footage.Please join us in discordhttps://discord.gg/G7uay2
Package: nflfan
Module nflfan provides a way to connect your fantasy rosters with
statistical data in nfldb in order to perform live scoring. nflfan also
provides a simple web interface that can be used to watch all of your
fantasy games with real time updates. The web server can be started by
running:#!bash
python -m nflfan.webCurrently, only Yahoo and ESPN fantasy leagues are supported. But nflfan
is extensible, and it will be easy to add more leagues in the future.