Saravanan666/pypi-org huggingface dataset:
Package: beets-ydl
![Travis CI](https://api.travis-ci.org/vmassuchetto/beets-ydl.svg?branch=master)# beets ydlDownload audio from youtube-dl sources and import into beets$ beet ydl "https://www.youtube.com/watch?v=wW6ykueIhX8"$ beet ls short music for short people59 Times the Pain - Short Music for Short People - We Want the Kids7 Seconds - Short Music for Short People - F.O.F.O.D.88 Fingers Louie - Short Music for Short People - All My Friends Are in Popular BandsAdrenalin O.D. - Short Music for Short People - Your Kung Fu Is Old... And Now You Must Die!Aerobitch - Short Music for Short People - Steamroller Blues[...]## Installationpip install beets-ydlAnd enable `ydl` plugin on your `config.yaml` file.## ConfigurationAvailable options on `config.yaml`:- `download`: will download files from sources after getting information,defaults to `True`- `split_files`: will try to split album files into separate tracks, defaultsto `True`- `import`: will import files on youtube-dl after downloading and splitting,defaults to `True`- `urls`: a list of default urls to download when no arguments are provided, youcan provide a playlist to get checked every time- `youtubedl_options` is a dictionary of[a lot of youtube-dl options available](https://git.io/fN0c7)Example:```yamlplugins: ydlydl:split_files: trueurls:- url1- url2- url3youtubedl_options:postprocessors:key': 'SomeOtherExtractor',preferredcodec: 'ogg'```## Tips### Use a `.netrc` fileSecurity discussions apart, you can create a `~/.netrc` with credentials foryoutube-dl to read.machine youtube login somelogin@gmail.com password somepasswordCheck [this entry](https://git.io/fN2TD) on youtube-dl docs for moreinformation.Like this, you can download private playlists or your subscriptions:beet ydl "https://www.youtube.com/feed/subscriptions"### Download and import laterTo download and split files without importing into beets:beet ydl "<source>" --keep-files --no-importAnd later, to import:beet ydl "<source>" --no-download --no-split-filesLike this, you can download a big playlist and then run the beets importroutine, which requires manual intervention.### (possibly) enhance audio qualitybeets-ydl uses a proposed [192kbps extractor 'bestaudio'](https://git.io/fN2mJ)format because it is more likely that it will find separate audio files onsources. Some high quality videos might have better audio quality embedded, soit can also make sense to set a higher quality extractor:```yamlydl:youtubedl_options:format: 'best',postprocessors:key: 'FFmpegExtractAudio'preferredcodec: 'mp3'preferredquality: '320'nopostoverwrites: True```This can, however, end-up with unnecessarily big files that have 320kbps as amerely nominal quality. See [this discussion](https://askubuntu.com/q/634584).## DevelopmentExecute the env script to get into a virtualenv.. ./env.develop
Package: beets-yearfixer
YearFixer (Beets Plugin)Thebeets-yearfixerplugin finds theoriginal_yearfor each of your songs by querying the MusicBrainz database and finding the first release date that is associated with it. If the MB database query is unsuccessful, it will then use the other songs in the same album as reference and calculate the meanoriginal_yearbetween them. If this does not yield any results then the same will be done for all songs of the artist. For theyearattribute the same procedure will be used except that the MB database is not queried.InstallationThe plugin can be installed via:$pip install beets-yearfixerActivate the plugin in your configuration file by addingyearfixerto the plugins section:plugins:-yearfixerUsageInvoke the plugin as:$ beet yearfixer [options] [QUERY...]The following command line options are available:--force [-f]: Force setting the values on items even if the value has been previously set.--version [-v]: Display the version number of the plugin. Useful when you need to report some issue and you have to state the version of the plugin you are using.ConfigurationTheforceoptions can also be set through the configuration like this:force:yesIssuesIf something is not working as expected please use the Issue tracker.If the documentation is not clear please use the Issue tracker.If you have a feature request please use the Issue tracker.In any other situation please use the Issue tracker.Other plugins by the same authorbeets-goingrunningbeets-xtractorbeets-yearfixerbeets-autofixbeets-describebeets-bpmanalyserbeets-templateFinal RemarksEnjoy!
Package: beetzbox
IntroductionTODOUsageTODOInstallationSqueezeBox integration for Beetscan be installed viapip install beetzboxas usual,
seereleasesfor an overview of available versions.
To get a bleeding-edge version from source, use these commands:repo="jhermann/beetzbox"
pip install -r "https://raw.githubusercontent.com/$repo/master/requirements.txt"
pip install -UI -e "git+https://github.com/$repo.git#egg=${repo#*/}"As a developer, to create a working directory for this project, call these commands:git clone "https://github.com/jhermann/beetzbox.git"
cd "beetzbox"
command . .env --yes --develop  # add '--virtualenv /usr/bin/virtualenv' for Python2
invoke build checkYou might also need to follow somesetup proceduresto make the necessary basic commands available onLinux,Mac OS X, andWindows.
Package: beewa
beewa is the best way to control your hivehome.com devices!InstallationSimply run:$ pip install beewaUsageFor more helpLicenseThis project has been developed by Matthew Gall. This project is hereby
released under the terms of the MIT License, and is included belowMIT License

Copyright (c) 2017 - 2018 Matthew Gall

Permission 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: beeware
BeeWareBeeWare is a collection of tools and libraries for building and distributing
native applications in Python.For an introduction to the full BeeWare suite, we recommend running theBeeWare Tutorial.CommunityYou can talk to the BeeWare community through:@pybeeware on TwitterThebeeware/generalchannel on Gitter.We foster a welcoming and respectful community as described in ourBeeWare Community Code of Conduct.ContributingIf you experience problems with BeeWare,log them on GitHub. If you
want to contribute code, pleasefork the codeandsubmit a pull request.
Package: beewi-smartclim
beewi_smartclim - Library for BeeWi SmartClim Bluetooth LE sensorUse this library to read temeperature and humidity from your own BeeWi SmartClim sensor.FunctionalityIt supports reading the different measurements from the sensortemperaturehumiditybattery levelTo use this library you will need a Bluetooth Low Energy dongle or a Raspberry Pi with Bluetooth support.Build$ make buildExamplefrom beewi_smartclim import BeewiSmartClimPoller

b = BeewiSmartClimPoller("d0:5f:b8:51:9b:36")
b.update_sensor()

temperature = b.get_temperature()
humidity = b.get_humidity()
battery = b.get_battery()

print(temperature, humidity, battery)Projects Depending onbeewi_smartclimhttps://github.com/home-assistant/home-assistant
Package: beeyberry-lib
BEEPBERRY    PYTHON-LIBThis is a Python library for BeepBerry. Currently, it includes functionalities for key, RGB light, and screen, encompassing three types of hardware. It can be easily installed via pip and simplifies the process of driving these hardware components.Install instructionsFrom pip:pip install --upgrade beepberry-libExamplesimportbeepbeery#rgbbb=beepberry.BEEPBERRY()bb.rgb(0,0,100)#r,g,b   form 0 to 255time.sleep(1)bb.rgb_off()#button  See: https://gpiozero.readthedocs.io/en/stable/recipes.html#buttonbb.button#button.is_pressed  button.wait_for_press() button.when_presse  button.when_released#scrscr=bb.lcdfont=ImageFont.truetype("yahei.ttf",24)# load fontscr.text(xy=(10,10),text='dice',fill='red',font=font)scr.show()bb.show_pic('test.jpg')#show pics directlyKEYMAP*                  BBQ20KBD PMOD KEYBOARD LAYOUT
 *
 *  +------+-----+----+----+----+----+----+-----+-----+-------+
 *  |      |          |BR     ↑TPY-       |           |       |
 *  | Ctrl |   PgDn   |←TPX- BL(HOME)TPX+→|   PgUp    | MENU  |
 *  |      |          |       ↓TPY+       |           |       |
 *  +------+-----+----+----+----+----+----+-----+-----+-------+
 *  |                                                         |
 *  +------+-----+----+----+----+----+----+-----+-----+-------+
 *  |#     |1    |2   |3   |(   |   )|_   |    -|    +|      @|
 *  |  Q   |  W  | E  | R  | T  |  Y |  U |  I  |  O  |   P   |
 *  |      |     |PgDn|PgUp|   \|UP  |^   |=    |{    |}      |
 *  +------+-----+----+----+----+----+----+-----+-----+-------+
 *  |*     |4    |5   |6   |/   |   :|;   |    '|    "|    ESC|
 *  |  A   |  S  | D  | F  | G  |  H |  J |  K  |  L  |  BKSP |
 *  |     ?|     |   [|   ]|LEFT|HOME|RGHT|V+   |V-   |DLT    |
 *  +------+-----+----+----+----+----+----+-----+-----+-------+
 *  |      |7    |8   |9   |?   |   !|,   |    .|    `|       |
 *  |LFTALT|  Z  | X  | C  | V  |  B |  N |  M  |  $  | ENTER |
 *  |      |   K+|  K-|   °|   
   |MENU |Vx   |       |
 *  +------+-----+----+----+----+----+----+-----+-----+-------+
 *  |            |0   |TAB                |     |             |
 *  | LEFT_SHIFT | ~  |       SPACE       |RTALT| RIGHT_SHIFT |
 *  |            |  Kx|                  &|     |             |
 *  +------------+----+-------------------+-----+-------------+Change Log[0.0.1] - 2023-08-09First commit.
Package: before
before - import python2 stuffThis is an extremely simple (&tested) library, that allows you to import function that appeared in python2.In[1]:frombeforeimportxrange,range,applyIn[2]:xrange(10)Out[2]:range(0,10)In[3]:range(10)Out[3]:[0,1,2,3,4,5,6,7,8,9]In[4]:apply(lambdax,y:x+y,4,7)Out[4]:11How to DownloadpipinstallbeforeAll Supported Functionalitiesfrombeforeimport(reduce,reload,intern,xrange,range,raw_input,input,izip,zip,map,filter,round,cmp,apply,execfile,)
Package: before_after
before_after provides utilities to help test race conditions.When testing Python programs that run in multiple threads or processes it’s useful to simulate race conditions to ensure you handle them properly. before_after provides two functions,beforeandafter, that allow you to insert pre or post functions to be called before/after a function you want to test.See thisblog postfor a practical example of using before_after in tests.Patchingbefore_after is sugar over theMock library. It’s recommended that you read the docs before using before_after, especiallyWhere to patch.Example usagePractical example of testing race conditionsdefbefore_fn(*a,**k):print'before_fn called with',a,kdefafter_fn(*a,**k):print'after_fn called with',a,kdefhello(name,greeting='Hello'):print'{greeting}{name}!'.format(greeting=greeting,name=name)withbefore_after.before('__main__.hello',before_fn):hello('World')# before_fn called with ('World',) {}# Hello World!withbefore_after.after('__main__.hello',after_fn):hello('everybody',greeting='Hi there')# Hi there everybody!# after_fn called with ('everybody',) {'greeting': 'Hi there'}Use with recursive functionsBy default, before_after only calls the before_fn/after_fn function once. This is useful if you’re calling the original function within the before_fn/after_fn, since otherwise you’ll blow the stack. This behaviour can be disabled by passingonce=False.my_list=[]defbefore_fn(*a,**k):print'calling my_append in before_fn'my_append(1)defmy_append(item):print'appending',item,'to my_list'my_list.append(item)print'my_list is now',my_listwithbefore_after.before('__main__.my_append',before_fn):my_append(2)# calling my_append in before_fn# appending 1 to my_list# my_list is now [1]# appending 2 to my_list# my_list is now [1, 2]withbefore_after.before('__main__.my_append',before_fn,once=False):my_append(2)# calling my_append in before_fn# calling my_append in before_fn# calling my_append in before_fn# ...# RuntimeError: maximum recursion depth exceeded while calling a Python objectIt’s recommended that if you’re passingonce=Falsethat you make sure your program will exit cleanly!Use with methodsSince v1.0.0 before_after can be used on function methods. Make sure your before_fn/after_fn accepts aselfargument.classGreeter(object):def__init__(self):self.greeted=[]defgreet(self,name):print'Hi there',nameself.greeted.append(name)print'This is now a party of',len(self.greeted)defafter_fn(self,name):self.greet("{name}'s guest".format(name=name))greeter=Greeter()withbefore_after.after('__main__.Greeter.greet',after_fn):greeter.greet('Alice')# Hi there Alice# This is now a party of 1# Hi there Alice's guest# This is now a party of 2
Package: begentle
begentle is a package for detecting toxic language using
the Perspective API (more info atPerspectiveAPI.com).
Google already has a Python module for this, but I think it’s
too complex, so I created my own.Getting StartedFirst you will need a Google Cloud project API key with
the Perspective API enabled.Follow these two tutorials:
|Tutorial 1: Getting Started|Tutorial 2: Enable the APIOnce you have your API key install the package:pip install begentleand use it like so:from begentle import CommentAnalyzer
analyzer = CommentAnalyzer('YOUR_API_KEY')
comment = 'You suck! I hate you, never come back.'
print(analyzer.analyze(comment))You should see something like 0.9543847.
This is a value between 0 and 1 representing toxicity.
Generally toxic phrases return a value above 0.9.
And that’s it!
Package: beget
Beget is a very simple tool to create a default django project. It basically does little more thandjango-admin.pystartproject projectnamewith the only differences being that it creates the project in a python distribution layout complete with setup.py for ease of installation and creates media and static directories.The default settings.py is tailored to the author’s preferences i.e. TIME_ZONE is set to ‘Europe/London’.UsageTo use beget:> beget example_projectThis will create the following directories:> tree example_project
example_project
├── example_project
│   ├── __init__.py
│   ├── media
│   ├── settings.py
│   ├── static
│   │   ├── css
│   │   ├── images
│   │   └── js
│   ├── templates
│   └── urls.py
└── setup.pybeget has only one option (excluding--helpof course):> beget -h
Usage: beget [options] projectname

Options:
  -h, --help         show this help message and exit
  -k, --like-krak3n  Create config/common.py instead of settings.pyThe-kor--like-krak3noption replaces settings.py with config/common.py as is the way of the krak3n:> beget --like-krak3n example_project && tree example_project
example_project
├── example_project
│   ├── config
│   │   ├── common.py
│   │   └── __init__.py
│   ├── __init__.py
│   ├── media
│   ├── static
│   │   ├── css
│   │   ├── images
│   │   └── js
│   ├── templates
│   └── urls.py
└── setup.py
Package: beginai
This is Begin AI python SDK for both batch processing and application integration.
It can be used to integrate applications with Begin.ai orchestration platform to deliver applications with
personalisation algorithms to do:Predict user engagement.Provide recommenders for users.Detect fake content.Detect fake profiles.Classify objects, profiles and contents automatically in categories.You do not need machine learning experience to use this library,
check out our documentation for details.https://docs.begin.ai/b89798c6201243ecbbdc1126ece4e989register at begin.ai to get started.
Package: beginner
Package "beginner" is a handy code package for Beginners in Python. This package includes code to handle a variety of complex tasks, using which you can easily and quickly achieve your programming goals in Python. Typically, with the code implementation in this package, all you need to do is create an instance of the corresponding class, and then you'll be able to use the class's methods or properties to do the corresponding action. Of course, some common actions (such as visiting a web site with a specified URL) are encapsulated in a specific function that returns an instance of the web server). We think this package may be of great convenience to some Beginners in Python. We welcome programmers to improve on this code package (you can send comments to the source of this code package), so we've created some base classes that you can customize to meet more requirements and inherit from. According to the open source protocol of the code package, you are free to use this code package. Below, we will outline the main contents of the current version of this code package and the update plan for subsequent versions. Module 01 | coder.string Before you do that, you need to know how to use modules. You can import modules through the "import" statement, which is described in detail on many sources. If you're an experienced Python programmer, you know that to search out all the substrings in the parent string, you need to use the "re" module. However, the "re" module is too difficult for beginners, so we've encapsulated the find_all function (although its underlying implementation still relies on the "re" module, it works better). Similarly, we encapsulate a number of functions for the string aspect (most of whose return values are container objects). As mentioned above, you can give us feedback on module problems.
Note: DEBUG on November 21st, 2020, version 0.0.2.
Package: beginnerprofile
PyPi:https://pypi.org/project/beginnerprofile/This package show profile of me.How to installOpen CMD / TerminalpipinstallbeginnerprofileHow to use this packageOpen IDLE then input…my=Profile('Ton')my.company='goodday'my.hobby=['Running','Learning','Travelling']print(my.name)my.show_email()my.show_myart()my.show_hobby()developed by: Kerksak Mattayangkul Linkedin:https://www.linkedin.com/in/kerksak-mattayangkul-5080821b0/
Package: beginner-web
beginner-web is a branch package of Python package beginner, which contains a module. This module is used to help Python beginners build a website server conveniently and in a single file. With the support of this module, you can even build a perfect server in the command line, which can contain web applications, static resources, URL routing and multilingual
The underlying implementation of the package relies on the support of the third-party module Django, so you must download the dependent package Django before using this package. Of course, if you download with the new version of PIP, Django will be automatically downloaded when you download this package.
The biggest benefit of this package is that it integrates a class (server class) with a complete operating method. You can call the method of class to perform various operations by creating only one instance of the class.
Package: begoneads
BeGoneAdsBeGoneAds is a script that puts some popular hosts file lists into the systems hosts file as a adblocker measure.See it working on asciinema:RequirementsPython 3.6 or higherInstallation instructionsFrom PyPITo install BeGoneAds from PyPI use the following command:pipinstallbegoneadsFrom sourceClone this repository:gitclonehttps://github.com/anned20/begoneads.gitInstall the program:pythonsetup.pyinstallGetting startedYou are now ready to use BeGoneAds:begoneadsYou should see something like:Usage: begoneads [OPTIONS] COMMAND [ARGS]...

  Install or uninstall BeGoneAds, the host blocker for the system hosts
  file

Options:
  --help  Show this message and exit.

Commands:
  install    Install or update BeGoneAds
  uninstall  Uninstall BeGoneAdsUsageTo install the hosts to your system hosts file:begoneadsinstallTo install the hosts to your system hosts file with custom sources:begoneadsinstall--sourceshttps://www.custom.sources/hosts,http://www.and-another.one/hostsTo install the hosts to your system hosts file with local sources:begoneadsinstall--local-sourcespath/to/hosts/file,other/pathThe optionssourcesandlocal-sourcescan be used togetherTo uninstall the hosts to your system hosts file:begoneadsuninstallSources of hosts data unified in this variantUpdatedhostsfiles from the following locations are always unified and
included:Host file sourceHome pageSteven Black's ad-hoc listlinkMalware Domain Listlinkadd.Deadlinkadd.SpamlinkDan PollocklinkMVPS hosts filelinkyoyo.orglinkMitchell Krog's - Badd Boyz HostslinkCoinBlockerlinkUncheckyAdslinkadd.2o7NetlinkKADhostslinkAdAwaylinkadd.RisklinkTODO for 1.0.0Windows supportCustom selection of host filesSetuptoolsApply own hostsSystemd integrationPackage it for Debian, Arch, CentOS, Fedora, etc.TestingTo run the tests you usepytestExecute them withpytestin the project directoryBuilt withrequests- Getting the webpageclick- Parsing command line optionstqdm- Showing a fancy progress barLicenseThis project is licensed under the MIT License - see theLICENSE.mdfile for details
Package: be-great
Generation of Realistic Tabular datawith pretrained Transformer-based language modelsOur GReaT framework leverages the power of advanced pretrained Transformer language models to produce high-quality synthetic tabular data. Generate new data samples effortlessly with our user-friendly API in just a few lines of code. Please see ourpublicationfor more details.GReaT InstallationThe GReaT framework can be easily installed using withpip- requires a Python version >= 3.9:pipinstallbe-greatGReaT QuickstartIn the example below, we show how the GReaT approach is used to generate synthetic tabular data for the California Housing dataset.frombe_greatimportGReaTfromsklearn.datasetsimportfetch_california_housingdata=fetch_california_housing(as_frame=True).framemodel=GReaT(llm='distilgpt2',batch_size=32,epochs=25)model.fit(data)synthetic_data=model.sample(n_samples=100)Imputing a sampleGReaT also features an interface to impute, i.e., fill in, missing values in arbitrary combinations. This requires a trainedmodel, for instance one obtained using the code snippet above, and apd.DataFramewhere missing values are set to NaN.
A minimal example is provided below:# test_data: pd.DataFrame with samples from the distribution# model: GReaT trained on the data distribution that should be imputed# Drop values randomly from test_dataimportnumpyasnpforclmintest_data.columns:test_data[clm]=test_data[clm].apply(lambdax:(xifnp.random.rand()>0.5elsenp.nan))imputed_data=model.impute(test_data,max_length=200)GReaT CitationIf you use GReaT, please link or cite our work:@inproceedings{borisov2023language,title={Language Models are Realistic Tabular Data Generators},author={Vadim Borisov and Kathrin Sessler and Tobias Leemann and Martin Pawelczyk and Gjergji Kasneci},booktitle={The Eleventh International Conference on Learning Representations },year={2023},url={https://openreview.net/forum?id=cEygmQNOeI}}GReaT AcknowledgementsWe sincerely thank theHuggingFace:hugs: framework.