Saravanan666/pypi-org huggingface dataset:
Package: ninia
NiniaA small Python wrapper for setting up Quantum Espresso input files. More functionality may be added later.Currently, there is only assumed support for hexagonal close packed (HCP) crystal structures. 
Support for other structures may be tested butshould notbe expected.Note: Thecalc.create_bash()function (described later) assumes a Torque/PBS structure and sets up script to run in parallel using MPI. It also assumes an already built Quantum Espresso package and thatpw.xcan be run from the command-line.For tips on how to install Quantum Espresso on an HPC cluster, go toEspresso Installation.Behind the NameNiniais a genus of snakes, also known ascoffee snakes, that are native to parts of Central and South America. The choice of name is a play onPythonand QuantumEspresso.Example usage:# Import necessary modules:fromase.buildimportmolecule,add_adsorbate,hcp0001fromase.visualizeimportview# Set up geometry using ASE:surface=hcp0001('Ru',size=(4,2,4),a=2.7059,c=4.2815)ad=molecule('NH2')ad.rotate(180,'x')add_adsorbate(surface,ad,2.0,'hcp')view(surface,viewer='x3d')# Specific viewer for use in JupyterThis will display a view of the geometry we have created. More information
about ASE (Atomic Simulation Environment) can be found at their homepage:https://wiki.fysik.dtu.dk/ase/Then you can start using ninia to convert this geometry into an input file:fromniniaimportrelaxcalc=relax.Relax(prefix='Ru_test',functional='beef')calc.set_directories(outputdir='/home/ajs0201/workQE/output',pseudodir='/home/ajs0201/workQE/pseudo')# Ninia assumes the current script directory as the input directory# if none is given.calc.load_geometry(surface)calc.set_parameters(mixing_beta=0.15)calc.create_input()calc.create_job(hours=20)# This will create both an input (.i) file and bash (.sh) for the geometry aboveIf you do not specify theprefixandfunctionalduring the initialization step, the program will give warnings. Additionally, the pseudopotential directorymustbe set before thecalc.load_geometry()step.In thecalc.set_directories()step, you can set the following directories:The directory to place input and bash files (inputdir)The directory to place output files created by Quantum Espresso (outputdir)The directory that contains pseudopotentials relevant to the calculation (pseudodir)Note: The output directory, post calculation, will contain wave function files (.wfc) and save directories (.save/). Thisdoes notinclude output files (.out), which will be place in the input directory, unless explicitly changed.In thecalc.set_parameters()step, you can set the following parameters [default]:Plane wave cutoff energy (ecutwfc) [30.0]Plane wave cutoff density (ecutrho) [4*ecutwfc]Convergence threshold (conv_thr) [1e-8]Electron mixing beta (mixing_beta) [0.7]Number of k-points (k_points) [[4, 4, 4, 0, 0, 0]]Functional (functional) [beef]In thecalc.create_job()step, you can set the following parameters [default]:Job type [pbs.sh] (other optionslurm.sh)Partition/queue [general]Memory used by calculation in GB (memory) [50]Number of CPUs used by calculation (cpus) [8]Walltime allowed for execution in hours (hours) [30]
Package: ninja
Ninjais a small build system with a focus on speed.The latest Ninja python wheels provideninja 1.11.1.g95dee.kitware.jobserver-1executable
andninja_syntax.pyfor generating.ninjafiles.Latest ReleaseVersionsDownloadsBuild StatusGitHub Actions (Windows, macOS, Linux)PyPIMaintainersHow to update ninja version ?How to make a release ?MiscellaneousDocumentation:https://github.com/scikit-build/ninja-python-distributions#readmeSource code:https://github.com/scikit-build/ninja-python-distributionsMailing list:https://groups.google.com/forum/#!forum/scikit-buildLicenseThis project is maintained by Jean-Christophe Fillion-Robin from Kitware Inc.
It is covered by theApache License, Version 2.0.Ninja is also distributed under theApache License, Version 2.0.
For more information about Ninja, visithttps://ninja-build.orgLogo was originally created by Libby Rose from Kitware Inc.
It is covered byCC BY 4.0.Historyninja-python-distributions was initially developed in November 2016 by
Jean-Christophe Fillion-Robin to facilitate the distribution of project usingscikit-buildand depending on CMake
and Ninja.
Package: ninjaclient
NinjaClientNinjaClient is a Python library designed to simplify accessing and querying data from theRenewables Ninja API. It provides an easy-to-use interface for fetching detailed renewable energy data, including solar and wind energy generation estimates. Whether you're conducting research, analyzing energy markets, or building renewable energy forecasting models, NinjaClient offers the tools you need to get the data quickly and efficiently.FeaturesFetch solar generation data based on location, time, and panel specifications.Retrieve wind energy data by specifying turbine details, location, and time range.Handle API rate limiting gracefully with built-in waiting and retry mechanisms.Simplify the process of working with renewable energy data for analysis and modeling.InstallationTo install NinjaClient, you need Python 3.9 or later. It's recommended to install NinjaClient within a virtual environment. Run the following command to install:pipinstallninjaclientQuick StartHere's a quick example to get you started with NinjaClient:fromninjaclientimportNinjaClient# Initialize the client with your API tokenninja_client=NinjaClient(web_token='YOUR_API_TOKEN_HERE')df_countries=ninja_client.get_countries()limits=ninja_client.get_limits()# Fetch wind generation datadf_wind,wind_meta=ninja_client.get_wind_dataframe(lat=56,lon=6,date_from="2000-01-01",date_to="2001-12-31")# Fetch solar generation datadf_solar,solar_meta=ninja_client.get_solar_dataframe(lat=56,lon=6,date_from="2000-01-01",date_to="2001-12-31")The API Token you can find under your Renewable Ninjaprofile.DocumentationFor detailed documentation on all available methods and their parameters, please refer to the Renewables Ninja APIdocumentation.ContributingContributions to NinjaClient are welcome! If you have suggestions for improvements or bug fixes, please open an issue or submit a pull request.LicenseNinjaClient is released under the MIT License. See the LICENSE file for more details.AcknowledgmentsThanks to the Renewables Ninja project for providing the API that this client library interacts with.
This project is not officially associated with the Renewables Ninja project.
Package: ninjadog
Pugtemplate (formerlyjade) support in PythonFree software: MIT licenseDocumentation:http://journalpanic.com/ninjadogGitHub:https://github.com/knowsuchagency/ninjadogInstallationninjadog requires Python 3, node-js, npm, and thepug-clilibrarybrew install npm
npm install -g pug-cli
pip install ninjadogFor use withPyramid, just add it to the configurationconfig.include('ninjadog')Usageninjadog leverages thepug-clilibrary, written in nodejs, to renderpugtemplates in Python.It allows you to take something like thishtmlheadtitlemy pug templatebody#contenth1Hello#{name}.blockinput#bar.foo1.foo2input(type="text",placeholder="your name")ifname == "Bob"h2Hello Bobulforbook in booksli=bookelselisorry, no booksand sprinkle some Python over itfromninjadogimportrendercontext={'name':'Bob','books':['coloring book','audio book',"O'Reilly book"],'type':'text',}print(render(file=filepath,context=context,pretty=True))to render this<!DOCTYPE html><html><head><title>my pug template</title></head><body><divid="content"><h1>Hello Bob</h1><divclass="block"><inputclass="foo1 foo2"id="bar"><inputtype="text"placeholder="your name"><h2>Hello Bob</h2><ul><li>coloring book</li><li>audio book</li><li>O'Reilly book</li></ul></div></div></body></html>You can even combinejinja2syntax for unparalleled
template-rendering power.fromninjadogimportrenderdefstop_believing():returnFalsecontext={'stop_believing':stop_believing,'happy':{'birthday':'today',}}template_string="""
h1 hello, world
if happy.birthday == 'today'
    p it's time to celebrate!
    p {{ "Don't" if not stop_believing() }} stop believing
"""print(render(template_string,context=context,pretty=True,with_jinja=True))<h1>hello, world</h1><p>it's time to celebrate!</p><p>Don't stop believing</p>Why?Pugtemplates are a super elegant and expressive way to write
html, IMO.There exists a project,pyjadeand a less-popular fork,pypugjs,
that are pure-python implementations of the pug template engine,
but they have some minor bugs and the maintenance is a bit lacking.I figured it would be good to have an alternative method to renderpugtemplates that used the native javascript rendering engine.ninjadog does this by spawning thepug clias a subprocess.
This means that it can’t be as fast as a native template engine
likepyjade, but it will likely be more reliable over time as
it’s leveraging the popular and well-maintained nodejs implementation.GotchasCurrently, rendering a template withjinja2syntax goes through the following process:Render elements on the initial template throughjinja2Pass the output to thepug-cli, gathering extensions and inclusions in the processRender the output throughjinja2again, since the original template may have extended or included other templates that countainedjinja2syntax themselves.What this means is that if you want to escapejinja2syntax, you need to do it twice.For example, to have a literal{{ escaping inception }}rendered,
you’ll need to have{{ "{{ '{{ escaping inception }}' }}" }}in your template.对不起
Package: ninjakiwi-api
NinjaKiwi APIThis project was born because of the need of an API wrapper for the NinjaKiwi API. (A.K.A. Open Data)Do note that this is my first ever library and I still have a lot to learn!The games supported inOpen Dataare:Bloons Tower Defence 6Bloons Tower Defence Battles 2UsageTo import the module use:importninjakiwi_apiinstallationTo get the latest release use:$ python -m pip install --upgrade ninjakiwi-apiAlternative installationTo get the latest release via a tarball use:To check which version the library is on go toReleasesand search for releases!$ python -m pip install --upgrade https://github.com/GustavoSchip/NinjaKiwi-API/releases/download/v{VERSION-NUMBER-HERE}/ninjakiwi_api-{VERSION-NUMBER-HERE}.tar.gzTo get the latest pre-release via a tarball use:To check which version the library (dev) is on go toReleasesand search for pre-releases!$ python -m pip install --upgrade --pre https://github.com/GustavoSchip/NinjaKiwi-API/releases/download/v{VERSION-NUMBER-HERE}-dev/ninjakiwi_api-{VERSION-NUMBER-HERE}.tar.gzExampleIn this example we make a request to the api and we want the value ofid.importasynciofromninjakiwi_apiimportfetchasyncdefstart():data=awaitfetch("BTD6","races")ifdataisnotNone:raw=awaitdata.get_raw_data()example=awaitdata.get_data("id")print(f"Successfully fetched race data:{raw}")ifexampleisnotNone:print(f"Successfully fetched race data:{example}")else:print("Failed to fetch race data.")defmain():asyncio.run(start())if__name__=="__main__":main()DocumentationThe documentation is available on the project itsWiki!Additional infoLICENSECONTRIBUTING
Package: ninja-put-patch-file-upload-middleware
ninja_put_patch_file_upload_middlewareThis middleware allows users to upload files using the HTTP PUT or PATCH method. Backports the functionality fromdjango-ninja#719which in turn is based ondjango-ninja#417 (comment)RequirementsDjango 3.2+Asgiref 3.6.0+Python 3.7+InstallationInstall the package using pip :pipinstallninja_put_patch_file_upload_middlewareAdd the middleware to your middleware stack:# settings.pyMIDDLEWARE=[..."ninja_put_patch_file_upload_middleware.middlewares.process_put_patch",]LICENSEThis package is licensed under the MIT License ( same asdjango-ninja). See theLICENSEfile for more information.Feature CompleteI am not willing to add any more functionality to this module. This should work as is. Unless there are changes indjango/asgirefside. Please dont open ask for changes >_<
Package: ninjarmmpy
NinjaRMMPyWhat is this repository for?UnofficalNinjaRMM API v2client for Python.Inspired bypy-ninjarmm-api-clientThis library is currently not yet finished.Noteninjarmmpyversions0.2and higher use the function names as named in the
NinjaRMM documentation. This is a breaking change from past versions.If you are not yet able to update your function calls to use the new function names,
then you should continue to use version0.1.1a.RequirementsPython 3RequestsInstallationInstalling directly fromPyPI:pip install ninjarmmpyYou can install straight from the master branch by running:pip install git+https://github.com/ak9999/ninjarmmpy.git
Package: ninjavis
ninjavisIntroductionGenerate visualization fromNinjabuild logs. Ninjavis parse the ninja build
logs and for each item of the build extract its target, starting and end time.
It output those information in a template containing a simple timeline ; the visualization is done byvis.js.Inspired bybuildbloat.Usageusage:ninjavis--title"my build"ninja_build.logbuild_profile.html:warning: Runninja -t recompactfirst ot make sure that no duplicate entries are in the build log.ExampleProfile of Ninja 1.8.2 build
Package: ninjecto
Template rendering and variable injection made easy.Documentationhttps://docs.kuralabs.io/ninjecto/Installpip3installninjectoChangelog0.8.0 (2023-06-06)NewAdds –values-in=[toml,yaml,json] to parse the standard input and allow to
pass values as a pipe.0.7.0 (2022-03-24)ChangesNew version compatible with Jinja2 3.1.0.0.6.1 (2022-03-24)ChangesNew version pinning Jinja2 to an older version to avoid breakage caused by
API changes. Use this version if you need to use Jinja2 < 3.1.0.0.6.0 (2021-11-22)NewNew namespace “vault” that allows to fetch secrets from a HashiCorp’s Vault
instance.0.5.0 (2021-07-21)FixFixes namespaces. “env” and “git” namespaces are now available.0.4.0 (2020-10-06)FixFix core on Python 3.8.0.3.0 (2020-06-10)NewAllows to define the behavior when encountering undefined values in the
template.Allows conditional creation of files, so depending of a value a file can be
created or not.Rendering is now faster when rendering empty files.Ninjecto’s CLI now supports passing--parentsto create any parent
directory of the output directory.New filters:comment,quoteandread.New filters from awesomeInflectionpackage.Inflection is now a third party dependency, which includes the new filters:camelize,dasherize,humanize,ordinal,ordinalize,parameterize,pluralize,singularize,tableize,titleize,transliterateandunderscore.Also, the Cerberus dependency was dropped as it is unused (for now).FixValues and namespaces are now available globally, in particular inside macros in libraries.0.2.1 (2020-02-04)FixDefault output mode will now be set before checking the input and output
paths, offering a better error message.0.2.0 (2020-02-03)FixRendered files will now have the same permissions as the source files.0.1.1 (2020-02-03)FixFixes TypeError caused by invalid value of the levels parameter.0.1.0 (2020-02-01)NewDevelopment preview.LicenseCopyright (C) 2017-2021 KuraLabs S.R.L

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
Package: ninka
[![Downloads](https://img.shields.io/pypi/v/ninka.svg)](https://pypi.python.org/pypi/ninka/)
[![Circle CI](https://circleci.com/gh/bear/ninka.svg?style=svg)](https://circleci.com/gh/bear/ninka)
[![CodeCov](http://codecov.io/github/bear/ninka/coverage.svg?branch=master)](http://codecov.io/github/bear/ninka)
[![Requirements Status](https://requires.io/github/bear/ninka/requirements.svg?branch=master)](https://requires.io/github/bear/ninka/requirements/?branch=master)認可 ninka - permission, licensePython package to assist working with IndieAuth.IndieAuth toolsMicroPub supportSee the examples/ directory for sample command line tools.Contributorsbear (Mike Taylor)IndieAuthdiscoverAuthEndpoints()Find the authorization or redirect_uri endpoints for the given authDomain.validateAuthCode()Call authorization endpoint to validate given auth code.RequiresPython v2.7+ but see requirements.txt for a full list
Package: nino
Basic examplesCharacterimportninoimportasyncioasyncdeftest():asyncwithnino.Client()asclient:paginator=awaitclient.character_search("Nino")print(paginator.characters)asyncio.run(test())Animeimportninoimportasyncioasyncdeftest():asyncwithnino.Client()asclient:paginator=awaitclient.anime_search("Overlord",per_page=4)for_inrange(4):print(awaitpaginator.next())asyncio.run(test())DocumentationNino
Package: ninpy
# Ninpy #My collection of reuse-able Python scripts and others.## Install ##`bash python setup.py develop `## Unittest ##` pytest `## Directory ##`bash ninpy ├── common.py ├── crypto.py ├── data.py ├── dataset.py ├── datasets │   ├── cinic10.py │   ├── imagenet.py │   ├── __init__.py │   ├── kitti_road.py │   └── voc2012.py ├── debug.py ├── experiment.py ├── hw.py ├── hyper.py ├── __init__.py ├── int8.py ├── job.py ├── layer_converter.py ├── log.py ├── losses.py ├── models │   ├── cifar_resnet.py │   ├── cifar_vgg.py │   ├── __init__.py │   └── small_models.py ├── notify.py ├── quant.py ├── README.md ├── requirement.txt ├── resize.py ├── torch_utils.py └── yaml2.py `## TODO ##[ ] Reorganize torch2.[ ] Adding base module with tensorboard tracking.
[ ] Dataset with tensorboard add_images.
[ ] Tensorboard with add_scalars with a dict input.
[ ] Base dataset with mode “RGB” and “BGR”.
[ ] Base dataset with from_txt and folder.
[ ] Burst read for all base dataset.
Package: ninsolver
ninsolver python library for solving captchaspython version 3.5+to install with pip:pip install ninsolverrequirements:aiohttpcode example:from asyncio import run, gather
import ninsolver

async def async_append(client, image, to_append, num):
	res = await client.solving_image(client.image_to_bytes(image))
	to_append.append(res)
	print(f"{num} - solved")

async def main():
	client = ninsolver.Client("YOUR API KEY")
	results = []
	await gather(*[async_append(client, f"{i}.jpg", results, i) for i in range(1, 7)])
	for x in results:
		print(x.as_str)

run(main())links:telegramgithubp.s. visit my github, there are also other codes there
Package: ninst
ninstis a stand-alone Python sub-package ofNiftyPET, dedicated to helping with installation of other sub-packages. Although it is an essential part ofNiftyPETpackaging,ninstcould be used in other projects.Documentation with installation manual and tutorials:https://niftypet.readthedocs.io/InstallpipinstallninstNote that installation prompts for setting the path toNiftyPET_tools.
This can be avoided by setting the environment variablesPATHTOOLS.
It’s also recommended (but not required) to useconda.# optional (Linux syntax) to avoid promptsexportPATHTOOLS=$HOME/NiftyPET_tools# cross-platform installcondainstall-cconda-forgepython=3pipinstallninstLicenceCopyright 2018-21Casper O. da Costa-Luis@ King’s College LondonPawel J. Markiewicz@ University College LondonContributors
Package: ninstd
ninstdA wrapper of Python using only standard libraries.The goad of the module is to provide a basic support for my future modules.ninstdincludes any type of applications.To installpip install ninstdDirectory treeninstd_____error
	|__check
	|__path
	|__recorder
	|__utils
	|__typingLicenseMIT License with some exceptions.Please look at comments within the module.TODOType hinting.Make it loadable.
Package: niobium
NiobiumNiobium extends the Python Selenium client with nice features.Why NiobiumSelenium is probably the better tool for web automation. But sometimes it's hard to write a clean automation script.With Niobium you can keep using Selenium and simplify your scripts. For example, Niobium adds a new element locator, find_element_by_image, which adds image recognition capacity in order to find an element in the webpage.The goal of Niobium is not to replace Selenium. We only want to add to Selenium the functions we will love to see in Selenium natively.Niobium philosophy is to keep as simple as possible.InstallationNiobium is available on Pypi, so simply use pip.pip install niobiumGetting StartedIn order to use Niobium, you just need to import it in your script. Selenium will be automatically extended.# -*- coding: utf-8 -*-
from selenium import webdriver
import niobium

driver = webdriver.Firefox()
driver.implicitly_wait(10)
driver.get("https://www.python.org/")

driver.find_element_by_image("logo_python.png")

driver.quit()In order to avoid warning with your linter, you can import selenium from niobium.# -*- coding: utf-8 -*-
from niobium import selenium

driver = selenium.webdriver.Firefox()
...or simply disable the warning, like in this example for flake8# -*- coding: utf-8 -*-
from selenium import webdriver
import niobium  # noqa: F401

driver = webdriver.Firefox()
...If you use pytest and especially pytest-selenium, just import niobium in your conftest.py.Documentationhttps://niobium.readthedocs.io/WarningsSome features implemented in Niobium are here only to help you when there is no other easy solution. If you do a bad usage of Niobium features, it can result to a bad performance in your script, or it will be difficult to maintain it. Please read the documentation in order to know the special warnings for the use of these features.Niobium do not modify the Selenium library package. The patches are only applied at runtime.
Package: nio-bot
Nio-BotMaking Matrix bots simpleInstallingYou can install the latest stable release from PyPi:pipinstallnio-bot# Or for cutting-edge releases:# pip install --pre nio-botYou may also want some extras:End to End encryption support:nio-bot[e2ee]The CLI (recommended):nio-bot[cli]Both:nio-bot[cli,e2ee]Development dependencies:nio-bot[dev]Please note thate2eeusesolm, which depends onlibolm. You can likely install this though your system package manager.FeaturesNio-Bot is built on the solid client library,matrix-nio. This means that you get the full experience of a
Matrix client, with the added benefit of being able to easily create bots.Nio-Bot comes with a whole host of features to help make your development experience as easy as possible.
Some features include, but are not limited to:A powerful commands framework (Modules, aliases, checks, easy extensibility)Custom argument parser supportA flexible event systemSimple end-to-end encryptionAutomatic markdown rendering when sending/editing messagesSuper simple to use Attachments systemVery customisable monolithic client instanceA simple, easy-to-use CLI tool for some on-the-go tasksFull attachment support (File, Image, Audio, Video), with encryption supportIn-depth, simple, clean documentationHelpYou can join ourMatrix Roomfor help, or to just chat.
You can also get the latest updates in development there, including having your say in how new things are implemented!A quick example# This example was written using version 1.1.0.importniobotclient=niobot.NioBot(# Note that all of these options other than the following are optional:# * homeserver# * user_id# * command_prefixhomeserver="https://matrix.example.org",user_id="@example1:example.org",device_id="my-device-name",command_prefix="!",case_insensitive=True,owner_id="@example2:example.org",ignore_self=False)@client.on_event("ready")asyncdefon_ready(sync_result:niobot.SyncResponse):print("Logged in!")# A simple command@client.command()asyncdefping(ctx:niobot.Context):latency=ctx.latencyawaitctx.reply("Pong!")# A command with arguments@client.command()asyncdefecho(ctx:niobot.Context,*,message:str):awaitctx.respond(message)client.run(access_token="aaaaaaaaaaaaaa")Using the CLI to get an access tokenIf you install the cli extras, you can usenioclito get an access token
from a username and password (readthisfor why you'd want to use an access token):niocliget-access-token-u'@example1:example.org'-d'my-device-name'After putting in your password, an access token will be printed to the console once the login is successful.Further readingLook at thedocsfor more information on how to use Nio-Bot, or theexamples on github.