Saravanan666/pypi-org huggingface dataset:
Package: bestdori-api
Bestdori_api:warning: 该项目仍然急需更新与 Debug ，使用时若遇到 Bug 或其他需要的接口请及时提出简介这是一个用 Python 编写的调用Bestdori各种 API 与资源下载的库，大致包括了社区帖子的处理以及各种BanG Dream！少女乐团派对游戏内资源的获取。警告：此模块目前仍然亟待完善与测试，请不要将其当做一个稳定的库使用。目前已有的 API 与功能API 类别是否完善支持的内容用户👍登录、查询、帖子获取、信息获取帖子👍搜索、获取、发表、评论、喜欢谱面👍社区谱面获取、音源与封面获取、规整化、数据统计、格式互转故事👎👎社区故事获取角色🤔信息获取、资源获取卡牌👎信息获取、资源获取服装👎👎信息获取活动🤔信息获取、资源获取活动数据👎数据获取招募🤔数据获取、资源获取歌曲🤔信息获取、资源获取歌曲 Meta👎👎数据获取登录奖励🤔信息获取、资源获取自选券🤔信息获取漫画🤔信息获取、图片获取任务🤔信息获取ayachan🤔谱面分析、测试服上传、难度分析其他资源👎👎仅小部分资源有单独获取快速使用以下将以获取社区自制谱面[FULL] 光の中へ的信息为例。首先，使用以下指令安装本模块：$pip3installbestdori_api接下来在一个 Python 脚本文件中，使用如下代码获取指定帖子的全部信息（这里我们已知该帖子的 ID 为111533）：frombestdori.postimportPostdefmain()->None:# 实例化 Post 类p=Post(id='111533')# 调用方法获取信息info=p.get_details()# 打印信息print(info)main()得到的输出内容如下：{'categoryName':'SELF_POST','categoryId':'chart','title':'[FULL] 光の中へ','song':{'type':'custom','audio':'https://bestdori.com/api/upload/file/e4a080f84bfa2ca47b23b390a464c819ec17e70b','cover':'https://bestdori.com/api/upload/file/e3535ebb4c740c4757371026a1df9ffb08010307'},'artists':'結束バンド','diff':4,'level':30,'chart':[{'bpm':191,'beat':0,'type':'BPM'},{'beat':192,'lane':3.'type':'Single'},...],...}如果想要获取这个自制谱面的谱面，或者想要获取它的音源与封面，以下代码将会进行获取：frombestdori.postimportPostdefmain()->None:# 实例化 Post 类p=Post(id='111533')# 调用方法获取谱面chart=p.get_chart()# 获取的将是一个谱面实例# 调用方法获取音源与封面info=p.get_song()# 获取的将是一个包含了音源与封面的 bytes 字典main()
Package: best-first-search
Best first search, using pre-sorted iteratorsIt finds the minimum cost path on a graph, where the cost of a path is linear sum of each edge's weight in it. To call the function, the followings are required:termination conditionneighbor iterator; pre sorting the iterator helps the performance so that it iterates through each neighbor in ascending order of cost.cost addition function; in case you want to inject relaxationFor usage, take a look atbest_first_search.example.
Package: bestFit
bestFitSimple wrapper to plot the best fit line for a given set of coordinates.Installation:pip install -U bestFitIn a .py file, import withimport bestFit.main.
See the docs for the list of available classes and methods to use, which is the section followingquickstart.Docs:https://bestfit.readthedocs.io/en/latest/Github page:https://github.com/SebassNoob/bestFitOpen a new issue or pull request to contribute! Your help is much appreciated <3
Package: bestlog
bestlogthis is a simple python logger that logs to file and stdoutI originally wanted to call it 'easylog' but there is already a package with that name on pypiInstall$ pip install bestlogUsingfrombestlogimportloggerimportlogginglog=logger.get("test")# orlog=logging.getLogger("test")defmain():log.info("what the fuck")if__name__=='__main__':logger.init("test")main()output:[2022-11-16 21:37:06,032][INFO]: what the fuckyou can find log file in the 'logs' folder of the current directory, one log file per dayAdvancefrombestlogimportloggerimportlogginglogger.default_log_path="/var/log/test/"logger.default_log_level=logging.DEBUGlogger.default_backup_days=30log=logger.get("test")defmain():log.debug("what the fuck")if__name__=='__main__':logger.init("test")main()you can specify the path to save the log fileyou can set how many days the log file will be retained, default 0 is unlimitedWith tagfrombestlogimportloggerclassWorker:def__init__(self,name):self.name=nameself.log=logger.get("test",name)defdo_something(self):self.log.info("hello")defmain():worker1=Worker("bob")worker2=Worker("jack")worker1.do_something()worker2.do_something()if__name__=='__main__':logger.init("test",tag=True)main()output:[2022-11-16 21:42:49,469][INFO][bob]: hello
[2022-11-16 21:42:49,470][INFO][jack]: helloyou can distinguish between the logs of different workers based on their tag
Package: best_log_formatter
The APIThere is one class in this package:best_log_formatter.FormatterThe log formatDates are all in UTC with millisecond precision.2014-08-08T05:13:59,214+0000 name.of.logger INFO Status is nominal.For multi-line messages, all lines after the first are indented with a tab
character.2014-08-08T05:13:59,214+0000 name.of.logger ERROR This is a
    multi-line
    message.
Package: bestnewmusic
bestnewmusicView recent highly rated albums in the terminal.bnmsupports the following sources:Pitchfork 8.0+ AlbumsResident Advisor RecommendsForced Exposure Best SellersBoomkat Best SellersMidheaven Weekly Best SellersStranded Recommended RecordsWFMU Heavily Played RecordsAllMusic Featured New AlbumsInstallationInstall with pip:pip install bestnewmusicUsageusage: bnm [-h] [-r] [-l LENGTH] {p4k, ra, bk, mh, fe, sd, wfmu, am}

positional arguments:
  {p4k,ra,bk,mh,fe,sd,wfmu,kalx}
    - p4k  : Pitchfork 8.0+ Albums
    - ra   : Resident Advisor Recommends
    - bk   : Boomkat Weekly Best Sellers
    - mh   : Midheaven Weekly Best Sellers
    - fe   : Forced Exposure Weekly Best Sellers
    - sd   : Stranded Recommended Records
    - wfmu : WFMU Weekly Charts
    - am   : AllMusic Featured New Albums

optional arguments:
  -h, --help            Show this help message and exit
  -r, --reverse         Display items in reverse order (with most recent last)
  -l, --length          Number of items to displayExampleShow the WFMU weekly play charts for the current week, organized by frequency:bnmwfmuShow the first five most recent 8.0+ albums on Pitchfork (incl. reissues):bnmp4k-l5Show the weekly bestsellers on Forced Exposure, ordered from least to most
popular:bnmfe-r
Package: bestpix
BestPixView your best photos by seeing what Apple's machine learning models rate them.
Inspired by Simon Willison'sPelican post!DescriptionAll of the photos on your iPhone are put through Apple's machine learning models to produce "beautifulness" scores. These scores are stored on your iPhone and can be imported to your MacBook. This package allows you to see the 10 most beautiful photos in your browser.Supported PlatformsMac onlyPrivacyNo data leaves your computerUp and RunningInstallingYou'll needDocker DesktopCheck if you have it by runningdocker --versionNote: The exact version might change.You can get it fromdocker.comYou'll needPython 3frompython.orgTo check if you have it by runningpython3 --versionNote: The exact version might changeYou can get it frompython.orgDownloadBestPixby runningpip3 install bestpix.Note: The exact version might changeUsingImport your iPhone's photos to your Mac. Official instructionshereTo start Docker Desktop, runopen -a DockerTo start package, runrevealView the results by opening your web browser and going to the urllocalhost:8442UninstallingOpen your terminal and run the commandcleanup, then the commandpip3 uninstall bestpixUninstall Docker Desktop as you would any Application. Official instructionshere
Package: bestPR1
##DOCUMENTATIONbestPR1 has a class named polyBest.
Constructor of this class accepts four parameters:
1. Feature Data-frame(a matrix type object)
2. Target Data-frame(a matrix type object)
3*. A list of coefficients of regularization for lasso regression of degree 1,2,3,..
in that order upto whatver degree you would like to do polynomial regression.
4. Train-Test split ratio
5. boolean value, pass True if u want to do StandardScaler else pass False
The class has two methods:
1. mseScore(): takes no parameters, returns a list of mse scores of len(3*).
2. maescore(): takes no parameters, returns a list of mae scores of len(3*)
Package: bestpractice
introsuppose you want to make a comand line tool called bestpractice.
it accept integer as numbers
ouput carrots we need to feedex:
	cmd> bestpractice 2 
	ouput: 4we can get the output by two ways:command linebestpractice2call python moudlepython-mbestpractice2best practice schemaenvGenerated bymake envThis is first step you need to do in any python projectit will create a virtual envauto source itinstall requirements for the start uptestrunmake testrunmake runwill run in module modemake mainwill run in normal modeYou can see thatmain.pyandbestpractice/__main__.pyare the same  content file.why do we needmain.py?
It is eay to make an  entry in IDE , like intellij.Could I just use__main__.pyto run  like this?pythonbestpractice/__main__.pyYou cound not.That is because the top-level package problem.Ex:python main.py 
top-level package is the same as main.py

python src/func/main.py  
top-level package is the same as main.py, aka func 
top-level package is the folder where you run this command fromSo , whybestpractice/__main__.pydoes not work?because top-level package is bestpractice now.loggingAlways use logging for log print,dont useprintlogging config is controlled bylogging.yml, which can control every module level callsetup_logging` in main file (ra)make moduleupdate readmeput moudle in the folder parallel with logx folder.logxyour_modulepacking module or cmdlocalfor quick test purposeinstall:pip install .uninstall:pip uninstall <module_name>make install
make uninstallupload to test or prod PYPI serverupload to test server:make upload-to-testupload to prod server:make upload-to-prodtest and coveragepure testmake testtest with coveragemake coverage
Package: bestpy
bestpyA module to prove your friends (or adversaries) wrong.Ever needed to decide on what is the best thing out? That's exactly what bestpy does.
We may or may not try to make the answers support your view. Here's a quick demo:>>>best.language"python">>>best.module"bestpy"Table of contentInstallationDev installationUsageDifferent ways to access itemsHard coded answersDynamic answersRandom answersContributingFinal wordsInstallationThis is simple with pip. Just run the following in your command line or terminal:pip install bestpyYou can also use your magic powers to get the module from the latest version of the source code using the following:pip install git+https://github.com/gustavwilliam/bestpy.git@mainNote: you will likely need to restart your terminal before using the moduleDev installationIf you want to contribute to the bot, follow thedev install instructionsinstead.UsageWe were kind and made importing it super simple and nice. Just do the following to import bestpy, once the installation is complete:>>>frombestpyimportbestNow you'll be ready to take on any of life's greatest challenges, all with the help of bestpy.Different ways to access itemsYou can access items through both attribute and item access.>>>best.module# Attribute accessbestpy>>>best["module"]# Item accessbestpyHard coded answersHere's how you can find out some hard coded, fundamental laws of the universe:>>>best.year1984>>>best.phoneBlackBerryDynamic answersThere are also a few things that may sneakily check your preferences and adjust based on it, like the following.
You'll get your current OS back, since you obviously have a good taste in what OS you use.>>>best.osRandom answersThere are also a few ones that use randomness to find the truth, from a list of answers.>>>best.nameGuido>>>best.nameGustavIf there's something you'd like to see added, feel free to open an issue or submit a PR.
The available categories will expand over time, thanks to our awesome contributors.ContributingFantastic that you want to be a part of the project! The project is actively maintained, and accepts issues and
pull requests for bug fixes, new "answers" and improvements to the core functionality.Check outCONTRIBUTING.mdto get started!Final wordsGood luck proving what things are actually best. Bestpy is never wrong,
so you now know everything you need to use the single source of truth.
Feel free to share what you create with bestpy. I can't wait to see what you do!May the bestpy be with you. The bestpy is strong with this one.
Package: bestree
bestreeUnder construction.Developed by CodingLive from ProtDos (c) 2022##InstallationpipinstallbestreeRequirementsPython (>= 3.8)NumPy (>= 1.17.3)ScikitLearnPandasUsageAll best featuresfrombestreeimportbest_allfromsklearn.treeimportDecisionTreeClassifierfromsklearn.datasetsimportmake_blobs# To create random X and y dataX,y=make_blobs(n_samples=100,n_features=2,centers=3,random_state=0)criterion,max_depths,split,state=best_all(X,y)clf=DecisionTreeClassifier(max_depth=max_depths,criterion=criterion,min_samples_split=split,random_state=state)# your scriptChoosing the best criterionfrombestreeimportbest_criterion#For pandas objectsfrombestreeimportbest_criterion_norm#For other objectsfromsklearn.treeimportDecisionTreeClassifierfromsklearn.datasetsimportmake_blobs# To create random X and y dataX,y=make_blobs(n_samples=100,n_features=2,centers=3,random_state=0)criterion=best_criterion_norm(X,y)print(criterion)clf=DecisionTreeClassifier(criterion=criterion)# your scriptChoosing the best max_depth valuefrombestreeimportbest_depthfromsklearn.treeimportDecisionTreeClassifierfromsklearn.datasetsimportmake_blobs# To create random X and y dataX,y=make_blobs(n_samples=100,n_features=2,centers=3,random_state=0)max_depth=best_depth(X,y,criterion="gini")clf=DecisionTreeClassifier(max_depth=max_depth)# your scriptChoosing the best splitterfrombestreeimportbest_splitterfromsklearn.treeimportDecisionTreeClassifierfromsklearn.datasetsimportmake_blobs# To create random X and y dataX,y=make_blobs(n_samples=100,n_features=2,centers=3,random_state=0)max_depths=3criterion="gini"split=best_splitter(X,y,max_depths,criterion=criterion)clf=DecisionTreeClassifier(min_samples_split=split)# your scriptChoosing the best statefrombestreeimportbest_statefromsklearn.treeimportDecisionTreeClassifierfromsklearn.datasetsimportmake_blobs# To create random X and y dataX,y=make_blobs(n_samples=100,n_features=2,centers=3,random_state=0)max_depths=3criterion="gini"state=best_state(X,y,max_depths,criterion=criterion)clf=DecisionTreeClassifier(random_state=state)# your scriptHelp & SupportCommunication:Mail:rootcode@duck.comWebsite:https://protdos.comDiscord:https://discord.gg/Xtk4XbwW4ZReddit:https://reddit.com/u/ProtDosTwitter:https://twitter.com/ProtDosConclusionThanks for everybody that supported me (nobody)
Package: best-regression-model
Best Regression Model is used for supervised learning techniques where the target data is in continous form. It selects the best model from the eight regression model based on the Root Mean Square Value (RMSE).The eight regression model used in the given library are:Linear RegressionRidge RegressionLasso RegressionElasticNet RegressionRandom Forest RegressionSupport Vector RegressionExtra Trees RegressionDecision Tree RegressionUser installationIf you already have a working installation of numpy, scipy and sklearn, the easiest way to install best-classification-model is using pippip install best-regression-modelImportant linksOfficial source code repo:https://github.com/ronakkkk/best_regression_modelDownload releases:https://pypi.org/project/best-regression-model/Examplesfrom best_regression_model import regression_models

import pandas

data = pandas.read_csv('Data.csv')

X = data.iloc[:, :-1]

Y = data['Target']

best_model, best_model_name, acc = regression_models.reg_model(X, Y)

print(best_model_name, " (RMSE):", acc)```

`__Output__:

ElasticNet Regression (RMSE):621.2574962618987`
Package: best-route-finder
Library for finding best route in the routing tableImplementation of trie-tree best route finding algorithm.It is actually a bindings wrapper for the Rust library.UsageSee.pyi stub file(also included in the package) for detailed information.The information from the stub file should be visible in your IDE hints as well as shown by "Go to Definition" IDE action.ExamplefromipaddressimportIPv4Addressfrombest_route_finderimportIPv4RoutingTableTreetable=IPv4RoutingTableTree()table.insert(int(IPv4Address('192.168.1.0')),24,'ens192')table.insert_by_string('10.0.0.0/8','ens10')assert'ens192'==table.search_by_string('192.168.1.123')assert'ens10'==table.search(int(IPv4Address('10.1.1.43')))Creating form the listTheIPv4RoutingTableTreealso provides an option to create a routing table by passing a list of entries.classIPv4RoutingTableTree:(...)deffrom_mapping(entries:list[__RoutingTableEntry])->'IPv4RoutingTableTree':...The entries have to implement interface compatible with:@dataclassclass__RoutingTableEntry:"""Interface for a class representing single routing table entryUser shall provide own implementation of this interface"""subnet:IPv4Network#: a subnet part of an entryinterface:str#: next-hop interface name associated with the subnetIn low-level terms they have to be objects that will have proper attributes set, so the following code will not raise an error:assertisinstance(entry.subnet.network_address._ip,int)assertisinstance(entry.subnet.prefixlen,int)assertisinstance(entry.interface,str)
Package: best-script-realestate
best_script_realestateStable version 1.0.6This script can help you to start own Internet business anywhere in the world. The system allows you to run a super-modern, interactive and fast website.Best script Real estate agencies & Travel
agencies.The script supports:Selling Entertainment, Tours & Everything!AirBNB script for Property RentalClassified for Real Estate agencyDemo:Website:https://mirador.onlineAdmin:https://mirador.online/admin/Login:demoPassword:demodemoReal exampleEntertainment in Tenerife — onlineModulesMobile versionOur script based on ReactJS technology and works
great on all smartphones and tablets — check!SEOThe site is perfectly adapted for search engines and supports
the Open-Graph & JsonLD protocols. The news section allows you to post
SEO-text with automatic relinking.Discount systemAllows you to set global discounts or hold one-time
promotions. The discount is calculated from the amount of your
commission which specified into the price of each offer.TripAdvisor ReviewsAutomatic parsing reviews with auto-rewriting
text. Gradual addition of reviews to your website with cross-linking,
for the natural increasing of content.Flexible price managementThe final price of your offers on the site
is formed from the basic price of the supplier and your commission.Support ChatDynamic form placed in all pages of the site, allowing
customers to send requests to your email.Customers and ordersAll orders arriving in the system have extended
data of prices with a convenient system of customer management.Personal AreaYou can allow your users to add their objects to your
website through their personal account.Other features:Booking in two clicks— the interface allows you to make an order
easily and simply!White-Label— we do not place our logos.Unlimitednumber of copies of your script.Auto-scaling photos— don’t think about the size of photos, our
script optimizes them independently.Youtube-video— specify the link to the video and the video will
appear at the offer page.Caching algorithm— loading pages occurs faster than 1 second.SSL-securitycertificate based on CloudFlare. Your site will work
through a secure https protocol.Email notifications.Receive email notifications for orders.Auto-update system.In the near future:Integration with several languages.Payments by cardsAutoposting to Facebook, InstagramInstallationScript made with:ReactJS, Django v2, Ubuntu. Installation takes
place automatically in 5 minutes, via the Docker system. First
installation for free!Detailed installation instructions you will receive by email.If
necessary, we can adapt templates for your business — the cost
depends on the amount of work.Contact usContact UsAt
Facebook
Package: besttags
best-tagsI try to find the best hashtags for my post on instagram. There are some grate
web pages, but I wand a python package.Free software: MIT licenseInstall$pipinstallbesttagsCommand-line$best-tagscodingpythonprogrammer--fixfullstackhero#fullstackhero #coding #programming #programmer #html #css #javascript #developer
#code #webdeveloper #coder #webdesign #webdevelopment #technology #php #java
#software #tech #python #computer #computerscience #development #codinglife
#linux #programmers #softwaredeveloper #bhfyp #web #webdesigner #cSee the help for more informations$python-mbesttags--helpor$best-tags--helpExamplesThe simple one-liner. It will save the best hashtags for the given tags in a file.frombesttagsimportManager# The tags you are interested in.tags=['coder','programmers','python']Manager()(tags).save('best_hashtags.txt')You can change the default settings and add additional tags and use print()
to show the tagsManager(limit=10,fix=['fullstackhero'])(tags).save('10_best_hashtags.txt')print(Manager()(tags))Use the Manager to create an object, which you can use multiple times. It is
callable and allows a list or single strings.best=Manager(fix=['fullstackhero'])best('computer','instagood')best(['coder','programmers','python'])The result is a class, with some basic functions. So you can iterate it and
get the length.result=best('coder','programmers','python')print(len(result))fortaginresult:print(tag)print(result)result.save('best_hashtags.txt')History1.0.1 (2019-02-07)bug-fix for disjunkte tags1.0.0 (2019-02-07)First release on PyPI.
Package: best-testrail-client
TestRail client by BestDoctorImplementsAPI v2forTestRail.Installationpipinstallbest_testrail_clientPrerequisitesEnabled API in your TestRail project.Generated API key.Usagefrombest_testrail_client.clientimportTestRailClientfrombest_testrail_client.enumsimportBaseResultStatusfrombest_testrail_client.models.resultimportResultfrombest_testrail_client.models.runimportRun# Client initializationproject_url='https://<YOUR_PROJECT>.testrail.io/'# or other URL for self-hostedlogin='<account email>'api_token='<generated API token>'client=TestRailClient(project_url,login,api_token)# Create Test Runnew_run=Run(name='Test Run from API',include_all=False,case_ids=[1,2,3],)created_run=client.runs.add_run(run=new_run,project_id=1)# You can set global Project IDclient.set_project_id(project_id=2)# Add results for runresults=[Result(status_id=BaseResultStatus.PASSED.value,case_id=1,comment='Passed test'),Result(status_id=BaseResultStatus.FAILED.value,case_id=2,comment='Failed test'),Result(status_id=6,case_id=3,comment='Waiting test'),# Custom status]client.results.add_results_for_cases(run_id=created_run.id,results=results)# Close runclient.runs.close_run(run_id=created_run.id)Custom attributesCustom attributes are stored incustomdictionary attribute in models.
It stores all data from API and converts it back.frombest_testrail_client.clientimportTestRailClient# Client initializationproject_url='https://<YOUR_PROJECT>.testrail.io/'# or other URL for self-hostedlogin='<account email>'api_token='<generated API token>'client=TestRailClient(project_url,login,api_token)created_run=client.runs.get_run(run_id=1)"""API response looks like:{...'refs': 'SAN-1','custom_status1_count': 0,'custom_status2_count': 0,'custom_status3_count': 0,'custom_status4_count': 0,'custom_status5_count': 0,'custom_status6_count': 0,'custom_status7_count': 0,'description': null,...}It is now stored in custom attribute:created_run.custom == {'custom_status1_count': 0,'custom_status2_count': 0,'custom_status3_count': 0,'custom_status4_count': 0,'custom_status5_count': 0,'custom_status6_count': 0,'custom_status7_count': 0,}"""ContributingWe would love you to contribute to our project. It's simple:Create an issue with bug you found or proposal you have.
Wait for approve from maintainer.Create a pull request. Make sure all checks are green.Fix review comments if any.Be awesome.Here are useful tips:You can run all checks and tests withmake check.
Please do it before TravisCI does.We useBestDoctor python styleguide.We respectDjango CoC.
Make soft, not bullshit.
Package: bestv-aliyun-encryption-sdk
English | [简体中文](README-CN.md)![](https://aliyunsdk-pages.alicdn.com/icons/AlibabaCloud.svg)## AlibabaCloud Encryption SDK for Python[Overview](https://www.alibabacloud.com/help/doc-detail/189340.htm)[Quick Start](https://www.alibabacloud.com/help/doc-detail/201599.html)[Sample Code](/examples/README.md)## Install`shell git clonehttps://github.com/aliyun/alibabacloud-encryption-sdk-python.gitcdalibabacloud-encryption-sdk-pythonpython setup.py install `## License[Apache-2.0](http://www.apache.org/licenses/LICENSE-2.0)Copyright (c) 2009-present, Alibaba Cloud All rights reserved.