Saravanan666/pypi-org huggingface dataset:
Package: douyin-api
douyin-api说明抖音官网接口开发者文档：https://developer.open-douyin.com/docs-page移动/网站应用文档指引：https://developer.open-douyin.com/docs/resource/zh-CN/dop/overview/usage-guide接口演示fromdouyin_apiimportDouYinfromdouyin_api.utilsimportTimerfromdouyin_api.toolimportget_video_id_by_short_url,get_iframe_data_by_video_idfrom_.不要对外公开importclient_key,client_secret,redirect_uri,access_token,open_id,item_id,refresh_token,short_url正式环境='https://open.douyin.com'沙盒环境='https://open-sandbox.douyin.com'if__name__=='__main__':withTimer()astimer:...d=DouYin(client_key,client_secret,正式环境)# print(d.client_token())scope='user_info,video.list.bind,video.data.bind'scope+=',trial.whitelist'# 测试的时候需要这个权限# renew_refresh_token 用户授权续期print(d.get_permission_code_url(scope=scope,redirect_uri=redirect_uri))# print(d.access_token(code='9c1592704acfd7dbuQbpWj9u7EsBV8KuDbPT'))# 刷新 refresh_token 的有效期# print(d.renew_refresh_token(refresh_token))# 刷新 refresh_token 的有效期# print(d.refresh_token(refresh_token))# 设置用户access_token，有些接口需要这个才能访问d.set_access_token(access_token,open_id)# print(d.userinfo())# 分页获取用户所有视频的数据，返回的数据是实时的# print(d.video_list(cursor=0, count=10))# 查看设置用户access_token是否影响client_token接口访问# print(d.client_token())# video_id = get_video_id_by_short_url(short_url)# print('从抖音短连接获取视频id', video_id)# # 通过VideoID获取IFrame代码# if video_id:#     print(get_iframe_data_by_video_id(video_id))# 查询用户特定视频的数据，如点赞数、播放数等，返回的数据是实时的# print(d.video_data(ids=[item_id]))# print(d.video_data(ids=[str(video_id)], use_item_ids=False))
Package: douyin-image
douyin_imageAdd douyin effect to imagedouyin_image是一个给图片添加抖音效果的库示例原图转换后的代码图片使用方式usage: douyin_image [-h] [--image IMAGEFILE] [--out OUTIMAGE]

optional arguments:
  -h, --help         show this help message and exit
  --image IMAGEFILE  path of image to add effect
  --out OUTIMAGE     path of output image安装$ pip install douyin_imageLicenseMIT
Package: douyin-spider
抖音爬虫抓取抖音App的视频爬虫环境Python3安装配置首先，你需要安装并配置好Node.js环境,然后bash运行$gitclonegit@github.com:ErisYoung/douyin_spider.git
$cddouyin_spider
$pipinstall-rrequirements.txt或者pipinstalldouyin-spider使用方法第一种方式:选择下载器和处理器,自行编写你可以按如下方式使用:fromdouyin_spider.downloaders.videoimportVideoDownloaderfromdouyin_spider.handler.videoimportVideoHandlerfromdouyin_spider.handler.musicimportMusicHandlerfromdouyin_spider.handler.mongodbimportMongoHandlerfromdouyin_spider.enter.hot_topimporthot_top20video_handler=VideoHandler(folder='./videos')music_handler=MusicHandler(folder='./musics')mongo_handler=MongoHandler()downloader=VideoDownloader([video_handler,music_handler,mongo_handler])result=hot_top20()foriteminresult.data:downloader.download(item)print("success")💨注意:如果要使用mongo_handler,则需要提前启动mongodb结果:第二种方式:使用命令行参数首先获取你所需要的share-url然后把得到的url,输入命令行，默认下载10个视频cddouyin_spider/douyin_spider
pythonassign_share_url.py-u"http://v.douyin.com/6Gf7FG/"💨注意:这里要使用"",否则Windows环境下会出现error更多的参数使用自行help查阅:pythonassign_share_url.py--help💨提示:有其他问题可以自行issue更多的例子和入口请看tests更多的下载器请看downloaders更多的处理器请看handler更新时间2019-5-13: 👌处理_signature 签名参数,实测可行2019-6-26: 👌打包上传至pypi，抖音加密接口未变，测试可行
Package: dov
Python Package Template📦 一个快速上传到 PyPI 的 Python Package 模版。上传到 PyPI 后可以使用pip install安装。1 使用方法点击本项目右上角的绿色按钮Use this template（使用此模板），输入名称和说明，完成创建；将项目克隆到本地，这里以本项目为例，实际操作时这里需要替换你自己的项目；gitclonehttps://github.com/Ailln/python-package-template.git--depth1修改配置，文件中有提示；cdpython-package-template# 1. 将下文中的 your_package_name 改成你的实际项目名称mvpackage_nameyour_package_name# 2. 接下来修改 `setup.py MANIFEST.in /package_name/shell/usage.py scripts/local_install.sh` 中的参数，里面有提示。# 3. 最后 `README.md` 修改为你的项目介绍，也就是你当前在读的这个文本。编写你的 Package 代码，并进行测试。# 本地充分测试bashscripts/local_test.sh上传到 PyPi（需要注册），参考如何发布自己的包到 pypi；bashscripts/upload_pypi.sh更新到 Github。gitpush2 项目结构.
├── README.md # 项目文档
├── package_name # 你需要手动修改为你的项目名称
│    ├── shell # 在命令行中执行的代码
│    │    ├── __init__.py
│    │    └── usage.py
│    ├── src # 静态资源
│    │    └── temp.txt
│    └── version.py # 版本号
├── scripts
│    ├── local_install.sh # 需要替换里面的 package_name
│    ├── local_test.sh
│    └── upload_pypi.sh
├── requirements.txt # 包依赖
├── .gitignore # git 忽略项
├── MANIFEST.in # 要包含在 sdist 命令构建的分发中的文件列表。
├── LICENSE # 这里面的内容为本项目的 License，你需要手动替换它。
└── setup.py # 安装配置3 TODO增加自动修改package name的脚本。增加 test 相关代码。4 许可5 参考如何从模板创建仓库？如何发布自己的包到 pypi ？
Package: dova-ladekast-fetcher
dova-ladekast-fetcherSimple Python package to talk to DOVA Ladekast API.GoalThe goal of the package is to have an easy interface to use the API in Python.Python package is developed within Provincie Zuid-Holland.
The "DOVA Ladekast API" is developed by DOVA (dova.nu).
To get access to the DOVA Ladekast please reach DOVA.Quick startRequirementspip install dova-ladekast-fetcherSample codeimportgetpassimportdova-ladekast-fetcher.apiasdlf# Initiate connection for further sessionsbaseUrl="dova-ladekast-url"username=getpass.getpass(prompt='DOVA Ladekast username:')password=getpass.getpass(prompt='DOVA Ladekast password:')l=ladekast(baseUrl,username,password)# Download specific datasetdynamicDatasetUID="GUID"# <--- fill in GUID of dataset --->filePath="output_directory"# <--- fill in path to store data ---># Download the filel.download(f'ladekast/v1/getdata/{dynamicDatasetUID}',filePath)DevelopmentPackage is hosted on GitHub. After each change increase version number and create a new Release on GitHub. The pipeline will trigger a release to PyPi (see status batch above).Collaborate?Send a PR!DisclaimerThe developers of this package are not affiliated with DOVA.
Package: dovecot-archive
dovecot-archive is adoveadmwrapper for common mail archival tasks.Usagerequired arguments:--userUSER,-uUSERSource user whose mails will be moved.optional arguments:--folderFOLDER,-fFOLDERSource folder which will be moved including its subfolders. If not given, all user’s folders will be moved--dst-userDST_USER,-dDST_USERDestination user to whom will the mails be moved. If not given, source user will be used.--dst-root-folderDST_ROOT_FOLDER,-rDST_ROOT_FOLDERDestination root folder to move the folder structure into, e.g. ‘Archive’. If not given, root namespace will be used.--beforeBEFORE,-bBEFOREMove only mails sent before this date. The date needs to supplied as unix timestamp, ISO-8601 (YYY-MM-DD), IMAP4rev1 (DD-Mon-YYYY) or a human readable representation of elapsed time (e.g. “2 months”, “3y”). If not given, all mails will be moved.--split-by-year,-yCreate subfolders with the respective years in the destination folder structure as [/dst-root-folder]/<year>/<folder>/<subfolder>. If not given, folders will be moved as a whole.--year-as-last-folder,-lCreate subfolders with the respective years as the last folder in the hieararchy as [/dst-root-folder]/<folder>/<subfolder>/<year>. Effective only when –split-by-year is used.--copy,-cCopy the mails instead of moving. If not given the mails are removed from the source location after successful move.--namespace-separator,-sDelimiter character used to separate Dovecot mailbox path components (i.e. not a filesystem directory separator).--verbose,-vPrint informational (-v) and debug (-vv) messages. If not given, the tool is silent and outputs only fatal errors.Use casesScenario 1)I have way too many mails and it makes my e-mail client slow. I want to move sent and received mails older than 3 years to a different user/account (which I only open in my e-mail client when I really need to), and I want to retain the same folder structure of the mailboxes as I have under the current user/account. I don’t want to archive thrash, spam, etc.Create a weekly cron task:dovecot-archive--useroriginal.user@example.com--dst-userarchival.user@example.com--folderINBOX--folderSent--before"3 years"Scenario 2)I have way too many mails and I want to move mails older than 14 days into an archive folder under the same user/account. I also want to create a subfolder for every year.Create a daily cron task:dovecot-archive--useruser@example.com--folderINBOX--dst-root-folderArchive--split-by-year--before"14 days"Scenario 3)An employee is leaving the company and I want to move all their mail to a new user/account of the employee replacing them. I want to move the whole folder structure, but to place it under a subfolder so it doesn’t interfere with the new empolyee’s mails.Manually run once:dovecot-archive--userleaver@example.com--dst-userjoiner@example.com--dst-root-folder"Jane Doe"Changelog1.1.0Added--namespace-separatorparameter used to separate Dovecot mailbox path components.1.0.1Initial release.
Package: dovecotauth
A client for theDovecot Authentication Protocol v1.1.Why?Dovecot is a convenient authentication backend for some stuff running on my
server, most notably the OpenID provider it looks as if I’m going to have to
write, and it’s less trouble to write a small client to talk to it than get
something talking to PAM.I figure that somebody might be in the same position, so why not unbundle it
from the OpenID provider.DevelopmentTo set up your development environment, run:make devTo upload a new release to PyPI:make releaseUsageNoteThis API is subject to change.Use theconnectcontext manager to connect to a DAP server. This takes aservicename (such as ‘imap’) and either a path to a Unix domain socket or in
theunixnamed parameter, or a tuple consisting of a hostname and port
number in theinetnamed parameter.The context manager returns aProtocolobject, on which you can called theauthmethod. This takes the name of aSASLmechanism (currently only
‘PLAIN’ is supported), a username, and a password, as well as a number of
additional arguments optional arguments, which I need to document.The return value is a two tuple, consisting of a boolean indicating success or
failure and the arguments of the response as a dictionary, orNone,
indicating aCONTresponse and that further data is needed.For instance:with connect('imap', unix='./auth.sock') as conn:
    status, flags = conn.auth('imap', username, password)
    if status:
        print("Authentication succeeded")
    else:
        print("Authentication failed or needs more data")DemosThe library comes with two demonstrations, allowing you to test it out
separately from Dovecot itself. Runningdovecotauth.py serverwill give
you a simple DAP server, anddovecotauth.py clientgives you a
command-line client. Note, however, that both are not intended to be robust,
but just to give you enough to test things out.Both share two flags--unixand--inet. The former lets you specify
a Unix domain socket path, and the latter allows you to specify an address to
bind/connect to in the formaddress:port.The client also allows you to specify the service name with the--serviceflag (‘imap’ by default), theSASLmechanism to use with the--mechflag
(currently only ‘PLAIN’ is supported, so this can be ignored for now), and a
username, which defaults to the value of theUSERenvironment variable.For example:./dovecotauth.py client --unix ./auth.sock --user userYou will then be prompted for a password.The server takes a flag,--htpasswd, which allows you to specify the path
to ahtpasswdfile to authenticate against:./dovecotauth.py server --unix ./auth.sock --htpasswd ./passwd
Package: dovecot-userpassdb
Passwords used by your users to log into a system using SSH are precious.
Way too precious to have mail software store them in plaintext on
arbitrary devices (laptops, phones, …). Unless you are using LDAP to
store password hashes for your system users, Dovecot doesn’t offer an
out-of-the-box way to let regular users set passwords for IMAP that differ
from those they use to log into the system.This tool provides a simple way of implementing separate passwords in
Dovecot for regular system users. Passwords are stored inside each user’s
home directory, and they can be modified from the command line. It
implements Dovecot’s checkpassword interface for password verification.Future plans include:setting additional attributes (such asmailto override the
system-defaultmail_location)InstallationThis is a regular Python package installable usingpip. Obviously, it
depends on Python (tested on 3.4+). If you’re feeling adventurous, just
runpip installdovecot-userpassdbas root to have everything
installed inside/usr/local. If you prefer to keep things tidy and
isolated, you can follow these steps instead:Create a Python virtualenv:# python -m venv /usr/local/venv-dovecot-userpassdb
# PIP="/usr/local/venv-dovecot-userpassdb/bin/pip"
# $PIP install -U pip                                # to be up-to-dateInstall thedovecot-userpassdbpackage inside the new virtualenv:# $PIP install dovecot-userpassdbMake the newly-installedimap-passwdscript available in systemPATH:# ln -s /usr/local/venv-dovecot-userpassdb/bin/imap-passwd /usr/local/binFinally, configure Dovecot to use the provideddovecot-checkpassscript, for example by including the following block:passdb {
    driver = checkpassword
    args = /usr/local/venv-dovecot-userpassdb/bin/dovecot-checkpass
}
Package: dover
A commandline utility for incrementing your project version numbers.Installation... pip install doverWhat does it do?Whendoveris run from the root directory of your project, it does the
following:looks for a configuration file (.dover,.dover.ini,setup.cfg,pyproject.toml)reads anydoverconfiguration line in this format:[dover:file:relatvie/file.pth]Or in the case ofpyproject.toml:[tool.dover]
versioned_files = ["pyproject.toml", "dover/cli.py"]searches the configured file references for “version” stringsvalidates all version strings across all configured files.displays and/or increments the version strings based upon
cli options.Usage... dover --help

dover v0.5.1

dover is a commandline utility for
tracking and incrementing your
project version numbers.

Usage:
  dover [--list] [--debug] [--format=<fmt>]
  dover increment ((--major|--minor|--patch)
                   [--dev|--alpha|--beta|--rc] |
                   [--major|--minor|--patch]
                   (--dev|--alpha|--beta|--rc) | --release)
                   [--apply] [--debug] [--no-list] [--format=<fmt>]

Options:
  -M --major      Update major version segment.
  -m --minor      Update minor version segment.
  -p --patch      Update patch version segment.
  -d --dev        Update dev version segment.
  -a --alpha      Update alpha pre-release segment.
  -b --beta       Update beta pre-release segment.
  -r --rc         Update release candidate segment.
  -R --release    Clear pre-release version.
  -x --no-list    Do not list files.
  --format=<fmt>  Apply format string.
  --debug         Print full exception info.
  -h --help       Display this help message
  --version       Display dover version.SeeRead  The Docsfor more.History0.5.0 (2018-11-25)added new dover config option for projects using pyproject.tomlstarted use ofblackfor code formating0.4.0 (2018-03-10)Added–devoption as a pre-release state.Added–releaseoption that clears any pre-release
versioning.Added–formatoption that allows user to control the
format from the standard0.0.0-dev.1format.0.3.1 (2018-03-02)documentation update to deal with
invalid README formating.0.3.0 (2018-03-02)added pre-release optionsadded –no-list optionexpanded documentation100% code coverage0.2.1 (2018-02-22)expanded testsgeneral code clean up0.2.0 (2018-02-22)improved alignment of outputadded additional version matching check0.1.0 (2018-02-18)initial commit
Package: dovi-helpers
Dolby Vision HelpersSystem prerequisitesmediainfomp4muxerdovi_toolUsageUsage: python -m cli [OPTIONS] COMMAND [ARGS]...

  Command line interface for collection of scripts to convert MKV container
  into Dolby Vision 8.1 compatible MP4.

Options:
  --help  Show this message and exit.

Commands:
  demux     Demuxing MKV container into HEVC and AC3 streams.
  info      Gathering mediainfo data into cached file.
  mux       Muxing HEVC and AC3 streams into compatible MP4 container.
  pipeline  Command to chain info, demux and mux operations.
Package: dovpanda
dovpandaDirections OVer PANDAsDirections are hints and tips for using pandas in an analysis environment.
dovpanda is an overlay companion for working with pandas in an analysis environment.It is an overlay module that tries to understand what you are trying to do with your data, and helps you
make you code more concise with readable.If you think your task is common enough, it probably is, and pandas probably has a built-in solution. dovpanda will help you find them.UsageHintsThe main usage ofdovpandais its hints mechanism, which is very easy and works out-of-the-box.
Just import it after you import pandas, whether inside a notebook or in a console.importpandasaspdimportdovpandaThis is it. From now on you can expectdovpandato come up with helpful hints while you are writing your code.NotebookRunningdovpandain a notebook environment will display rendered dismissable html.Consoledf=pd.DataFrame({'a':list('xxyy'),'b':[40,50,60,70],'time':['18:02','18:45','20:12','21:50']})df['time']=pd.to_datetime(df.time)df['hour']=df.time.dt.hourdf.groupby('hour').b.sum()===== Seems like you are grouping by a column named 'hour', consider setting the your
time column as index and then use df.resample('h') =====
Out[4]:
hour
18    90
20    60
21    70
Name: b, dtype: int64InstallationpipinstalldovpandaExtended UsageRandom Tipsdovpanda.tip()will give you a randompandastip.Change Displayusedovpanda.set_outputif you want to change output.In [14]: dovpanda.set_output('display')
In [15]: df.iterrows()
===== iterrows is not recommended, and in the majority of cases will have better alternatives =====
Out[15]: <generator object DataFrame.iterrows at 0x110fe4318>

In [16]: dovpanda.set_output('print')
In [17]: df.iterrows()
iterrows is not recommended, and in the majority of cases will have better alternatives
Out[17]: <generator object DataFrame.iterrows at 0x112c408b8>

In [18]: dovpanda.set_output('warning')
In [19]: df.iterrows()
WARNING:dovpanda:iterrows is not recommended, and in the majority of cases will have better alternatives
Out[19]: <generator object DataFrame.iterrows at 0x110ee7e58>

In [20]: dovpanda.set_output('off')

In [21]: df.iterrows()
Out[21]: <generator object DataFrame.iterrows at 0x1047c4d68>BTW"dov" means bear in HebrewDocumentationThe full documentation is athttp://dovpanda.rtfd.org.History0.0.5 (2019-11-11)
++++++++++++++++++dovpanda errors don't crash pandaErrors in functionality of dovpanda will only tell the user it happened
but let them continue the workfix read_csv issue #76fix at/iat issues when calling shape on str #770.0.4 (2019-11-09)
++++++++++++++++++fix to import error issue #710.0.3 (2019-11-08)
++++++++++++++++++First published release0.0.2 (2019-10-30)
++++++++++++++++++First release on PyPI.
Package: dovpanda-by-guy
dovpandaDirections OVer PANDAsDirections are hints and tips for using pandas in an analysis environment.
dovpanda is an overlay for working with pandas in an analysis environment.If you think your task is common enough, it probably is, and Pandas probably has a built-in solution.
dovpanda is an overlay module that tries to understand what you are trying to do with your data, and help you
find easier ways to write your code.UsageHintsThe basic usage ofdovpandais its hints mechanism, which is very easy and out-of-the-box. Just import it after you import pandasimportpandasaspdimportdovpandaThis is it. From now on you can expectdovpandato come with helpful hints while you are writing you code.ExampleIn[3]:df=pd.DataFrame({'a':list('xxyy'),'b':[40,50,60,70],'time':['18:02','18:45','20:12','21:50']})...:df['time']=pd.to_datetime(df.time)...:df['hour']=df.time.dt.hourIn[4]:df.groupby('hour').b.sum()=====Seemslikeyouaregroupingbyacolumnnamed'hour',considersettingtheyourtimecolumnasindexandthenusedf.resample('h')=====Out[4]:hour189020602170Name:b,dtype:int64Notebook SupportRunningdovpandain a notebook environment will display rendered dismissable html.Advanced UsageRandom Tipsdovpanda.tip()will give you a randompandastip.Change Displayusedovpanda.set_outputif you want to change output.In[14]:dovpanda.set_output('display')In[15]:df.iterrows()=====iterrowsisnotrecommended,andinthemajorityofcaseswillhavebetteralternatives=====Out[15]:<generatorobjectDataFrame.iterrowsat0x110fe4318>In[16]:dovpanda.set_output('print')In[17]:df.iterrows()iterrowsisnotrecommended,andinthemajorityofcaseswillhavebetteralternativesOut[17]:<generatorobjectDataFrame.iterrowsat0x112c408b8>In[18]:dovpanda.set_output('warning')In[19]:df.iterrows()WARNING:dovpanda:iterrowsisnotrecommended,andinthemajorityofcaseswillhavebetteralternativesOut[19]:<generatorobjectDataFrame.iterrowsat0x110ee7e58>In[20]:dovpanda.set_output('off')In[21]:df.iterrows()Out[21]:<generatorobjectDataFrame.iterrowsat0x1047c4d68>```
Package: dowel
doweldowel is a little logger for machine learning research.InstallationpipinstalldowelUsageimportdowelfromdowelimportlogger,tabularlogger.add_output(dowel.StdOutput())logger.add_output(dowel.TensorBoardOutput('tensorboard_logdir'))logger.log('Starting up...')foriinrange(1000):logger.push_prefix('itr{}'.format(i))logger.log('Running training step')tabular.record('itr',i)tabular.record('loss',100.0/(2+i))logger.log(tabular)logger.pop_prefix()logger.dump_all()logger.remove_all()
Package: down
downCheck if a website is up or down.:floppy_disk: Installation# clone the repo$gitclonehttps://github.com/sdushantha/down.git# install the requirements$pip3install-rrequirements.txt:hammer: UsageUsage:python3down.py[file][url]Examplepython3down.pyurl_list.txtpython3down.pyhttps://www.example.com
Package: downcast
downcastReduce the pandas dataframe size automatically.This is the test perform onJena dataset.InstallationOS X , Windows & Linux:pipinstalldowncastUsage exampleThis package is used the reduce the dataframe size without affecting the values. It find the max and min value in dataframe columns, based on these values it downcast the datatypes of that columns.fromdowncastimportreduceimportpandasaspd# load your dataframedf=pd.read_csv("PATH")# reduce the size of dataframedf=reduce(df)Development setupFor local development setupgitclonehttps://github.com/deepak7376/downcastcddowncast
pipinstall-rrequirements.txtRelease History0.0.8CHANGE: added downloads stats0.0.7CHANGE: Readme fixed0.0.6CHANGE: Tested version0.0.5CHANGE: work in progressMetaDeepak Yadav –@imdeepak_dky–dky.united@gmail.comDistributed under the MIT license. SeeLICENSEfor more information.https://github.com/deepak7376/downcast/blob/master/LICENSEContributingFork it (https://github.com/deepak7376/downcast/fork)Create your feature branch (git checkout -b feature/fooBar)Commit your changes (git commit -am 'Add some fooBar')Push to the branch (git push origin feature/fooBar)Create a new Pull RequestReferenceshttps://www.kaggle.com/anshuls235/time-series-forecasting-eda-fe-modelling
Package: downdroid
DownloadAndroid X86on your terminalThis python script list and download your required version of android-x86. To run this you need to have:python3pip (or similar)installpipinstalldowndroidremember to add~/.local/bintoPATHCommandscommandarguments--listall, versions, releases--help---add{android-x86 version}Download a versionList Versions and releasesdowndroid--listversionsdowndroid--listreleasesordowndroid--listallselect a version and then:downdroid--add{selected-version}now, wait, in some minutes your file will be downloaded to youDownloadsfolder and you can use your android-x86DEVif you want to run this by your own, clone this repo and run:pipenvpipenv install
    pipenv shellor with pippip install -r requirements.txtand finally run those commands with python3 as:python3downdroid.py--listversionspython3downdroid.py--listreleasespython3downdroid.py--listallpython3downdroid.py--add{selected-version}or with executable commands listed onDownload a version
Package: downforeveryone
Checks if a website is down for everyone or just you, via isup.me.Installationpip3 install downforeveryoneUsage$isup-husage: isup [-h] url

checks if a site is down for everyone or just you

positional arguments:
url         url to test

optional arguments:
-h, --help  show this help message and exit$isupgoogle.com;echo$?just you.
1$isupthingthatsdown.com;echo$?it's down.
0DevelopmentTo install development dependencies, you will needpoetryandpre-commit.pre-commit install --install-hooks
poetry installdirenvis optional, but recommended for convenience.