Saravanan666/pypi-org huggingface dataset:
Package: rememberme
Remember MeRememberMe is a handy tool for memory problems in Python. It computes the total memory usage of
Python objects.RememberMe is a replacement forsys.getsizeofsys.getsizeofis almost confusing in Python:importsysa=[1,2,3]b=[a,a,a]print(sys.getsizeof(a)==sys.getsizeof(b))# Can you believe the result is `True`?Whileremembermegives you a clear idea how large an object is.fromremembermeimportmemorya=[1,2,3]b=[a,a,a]print(memory(a))# 172 bytes!print(memory(b))# 260 bytes!InstallationpipinstallremembermeMore featuresCheck out memory usage in the current frame:fromremembermeimportmemorydeffoo():a=[1,2,3]b=[a,a,a]printmemory()foo()# 260 bytes. Note `a` is included in `b`.Check out top memory consumers:fromremembermeimporttopdeffoo():a=[1,2,3]b=[a,a,a]mem_top=top()# with no args, check current frameprint(mem_top[0])# `b` and its memory usageprint(mem_top[1])# `a` and its memory usageEven pretty print the result!fromremembermeimportmem_printdeffoo():a=[1,2,3]b=[a,a,a]mem_print(b)foo()Output:┌int (28.0B)
             ┌list (172.0B)┼int (28.0B)
             │             └int (28.0B)
             │             ┌int (28.0B)
list (260.0B)┼list (172.0B)┼int (28.0B)
             │             └int (28.0B)
             │             ┌int (28.0B)
             └list (172.0B)┼int (28.0B)
                           └int (28.0B)Known issues and limitationsFor better performance (and making better sense), the global dict, as well as modules,
are not included in the memory usage of any objects.We essentially relies ontp_traverseto traverse the object graph. For C extensions, memory usage might be underestimated under
various circumstances. For the most commonnumpy.ndarray, a specific procedure is defined to
probe the memory usage correctly, but no correctness is guaranteed for other C extensions,
which may have undetectable momery leaks within themselves.
Package: remeq
REMEQIt is a simple library for creating a message queue based on Redis and its channelsHow can I use it?First of all import MessageQueue object into your code.fromremeqimportMessageQueueand create a new queueredis_message_queue=MessageQueue(queue_name='YOUR_CHANNEL_NAME',queue_method='FIFO',host='REDIS_HOST',port=6379,decode_responses=True)wherequeue_name- is the name of your channel where you want to store messagesqueue_method- is how the message will be added to the channel and how its message will be taken from the channel, FIFO or LIFOhost, port, decode_response- are standard settings of Redis objectSo, to send a message into the channel usesend_massagemethodredis_message_queue.send_message("YOUR_MESSAGE_TEXT")And if you want to get the message from the channel, useget_messagemethodredis_message_queue.get_message()That's all. Good luck :)
Package: remerkleable
remerkleableRe-merkle-able: Typed mutable SSZ views over cached and immutable binary Merkle trees.FeaturesTypes:custom byte-vector and byte-list view for Python bytes-like behaviorbitfields: bitlist, bitvectorlist, container, vectorunionbasic typesFunctionality:Serializeall types. Into output stream (returning the written count) and asbytesDeserializeall types. From input stream (and scope) and frombytesHash-tree-rootall typesMerkle-baseddata-sharing:every view can be initialized/backed by a binary Merkle treecomplex views have backings, and can share data.complex views provide a nice mutable interface, and replace their backing.
And this also works for child-views through view-hooks.SSZ-Partials: if apartialproof is loaded as backing, a view can be overlaid,
and the partial backing works as long as no excluded branches are accessed.Calculate byte lengths:Type min/max byte lengthByte length for fixed-length typesOutput byte length for a value, without serializingNavigation: construct paths from types, and convert to generalized indices.History: traverse a sequence of nodes, and get the changelog for a given subtree location.Project LinksDocs:https://remerkleable.readthedocs.io/Changelog:https://remerkleable.readthedocs.io/en/latest/changelog.htmlPyPI:https://pypi.python.org/pypi/remerkleableIssues:https://github.com/protolambda/remerkleable/issuesAlso seeSSZ: “SimpleSerialize”, part of Ethereum Proof of Stake specSSZ draft specEthereum Merkle trees information aggregateContactAuthor:@protolambdaLicenseMIT, seeLICENSEfile.
Package: remfile
remfileProvides a file-like object for reading a remote file over HTTP, optimized for use with h5py.Example usage:# See examples/example1.pyimporth5pyimportremfileurl='https://dandiarchive.s3.amazonaws.com/blobs/d86/055/d8605573-4639-4b99-a6d9-e0ac13f9a7df'file=remfile.File(url)withh5py.File(file,'r')asf:print(f['/'].keys())Seeexamples/example1.pyfor a more complete example.Note: url can either be a string or an object that has a get_url() method. The latter is useful if the url is a presigned AWS URL that expires after a certain amount of time. However, if you implement your own get_url() method, make sure it renews the signed URL only when necessary.InstallationpipinstallremfileWhy?The conventional way of reading a remote hdf5 file is to use the fsspec library as inexamples/example1_compare_fsspec.py. However, this approach is empirically much slower than using remfile. I am not familiar with the inner workings of fsspec, but it appears that it is not optimized for reading hdf5 files. Efficient access of remote hdf5 files requires reading small chunks of data to obtain meta information, and then large chunks of data, and parallelization, to obtain the larger data arrays.See a timing comparison betweeen remfile and fsspec in the examples directory.Furthermore, since the url can be an object with a get_url() method, it is possible to use remfile in a context where presigned URLs need to be renewed. As mentioned above, if you implement your own get_url() method, make sure it renews the signed URL only when necessary.How?A file-like object is created that reads the remote file in chunks using the requests library. A relatively small default chunk size is used, but when remfile detects that a large data array is being accessed, it adaptively switches to larger chunk sizes. For very large data arrays, the system will use multiple threads to read the data in parallel.Disk cachingThe following example shows how to use disk caching. It is important to note that this is not an LRU cache, so there is no cleanup operation. The cache will grow until the disk is full. Therefore, you are responsible for deleting the directory when you are done with it.importremfileurl='https://dandiarchive.s3.amazonaws.com/blobs/d86/055/d8605573-4639-4b99-a6d9-e0ac13f9a7df'cache_dirname='/tmp/remfile_test_cache'disk_cache=remfile.DiskCache(cache_dirname)file=remfile.File(url,disk_cache=disk_cache)withh5py.File(file,'r')asf:print(f['/'].keys())CaveatsThis library is not intended to be a general purpose library for reading remote files. It is optimized for reading hdf5 files.LicenseApache 2.0AuthorJeremy Magland, Center for Computational Mathematics, Flatiron Institute
Package: remhind
remhindA notification daemon of events stored in directoriesThose directories will be monitored for change in order to allow you to use
solution likevdirsyncerto sync your
CalDAV server with your local filesystem.Getting Startedremhinduse atomlconfiguration file
indicating which directories holds your event files. Here's a simple example:[calendars]
    [calendars.test]
    name = "Test"
    path = "~/projets/perso/remhind/test_calendar"Installingremhindcan be installed through PyPI using pip.pip install remhindAcknowledgmentsThis work has been inspired by the work of thepimutils group
Package: remilia-bot
RemiliaBot女生自用(?)电报机器人使用方法安装Python3并配置好环境变量创建一个空文件夹, 在命令行cd到该文件夹下输入以下命令安装并运行pipinstallremilia-bot# 从 PyPI 安装 Botremilia# 运行 Bot功能表/start查看当前会话ID, 通常私聊的会话ID会与用户ID相同/code在线跑代码使用方法/code python
print('不可以色色')/de64六十四卦解密文本使用方法/de64 ䷙䷴䷂䷷䷙䷭䷪䷌䷙䷴䷰䷔䷄䷎䷐䷻䷄䷎䷐䷻/en64六十四卦加密文本使用方法/en64 不可以色色/pix来点色图使用方法/pix   # 随机一张涩图
/pix 3   # 随机三张涩图
/pix 阿波尼亚   # 发一张 '阿波尼亚' 的涩图
/pix 3 阿波尼亚   # 发三张 '阿波尼亚' 的涩图
/pix 3 崩坏3 阿波尼亚   # 发三张 '崩坏3' '阿波尼亚' 的涩图/setu来点色图用法同/pix/status查询机器人状态/awc会话响应 - 加白指定会话使用方法/awc id id1 id2 .../dwc会话屏蔽 - 屏蔽指定会话使用方法/dwc id id1 id2 .../awu用户响应 - 加白指定用户使用方法/awu id id1 id2 .../dwu用户屏蔽 - 拉黑指定用户使用方法/dwu id id1 id2 .../wake唤醒响应当前会话/sleep睡觉屏蔽当前会话闲聊功能在你要对Bot说的骚话前面加上Bot的昵称并发送(昵称在config.yml中设置, 不是你在BotFather设置的Bot用户名)/setreply设置回复模式 小爱/小思
Package: remin
remin: Residual Minimizer - Physics Informed Neural Networksreminis a Python module that provides a framework for developing Physics Informed Neural Networks (PINNs) using PyTorch. This module integrates PyTorch for model creation and training, Latin-Hypercube sampling for geometry creation, and also includes a small, user-friendly module for creating geometries.Key FeaturesImplementation of Physics Informed Neural Networks (PINNs) using PyTorch.Support for creating geometries using Latin-Hypercube sampling.Intuitive module for defining and creating complex geometries.Command-line interface (CLI) for simultaneous training of multiple models.InstallationPrerequisitesBefore usingremin, you will need to install the following packages:PyTorch (version 2.0.0 or later)NumPypyDOE (version 0.3.8 or later)You can install all the requirements using pip, the Python package installer. To install PyTorch, run the following command or follow the instructions on theirwebsiteto install with GPU support:pip install torch>=2.0.0To install NumPy, run the following command:pip install numpyTo install pyDOE, run the following command:pip install pyDOE>=0.3.8Alternatively, you can install these packages using conda or any other package manager of your choice.Once you have installed these packages,remincan be installed using pip(PyPi):pip install reminUsageTo usereminin your Python project, import the necessary modules as follows:import remin.geometry as rd
import remin.func as rf
import remin.solver.residual_loss as rl
from remin.solver import Solver, make_trainer
from remin.residual import Residual, make_loaderWill be extended in future.ContributingIf you want to contribute toremin, feel free to submit a pull request or open an issue onGitHub.LicenseThis project is licensed under theMIT License.ContactFor any questions, suggestions, or feedback, please feel free to contact the maintainer at [salih.tasdelen@metu.edu.tr].Thank you for usingremin!
Package: remind
Python library to convert betweenRemindand iCalendar.
Can be used stand alone (provided rem2ics and ics2rem tools) as well as integrated as a CalDAV client or server.InstallationYou need to have the Remind command line tool in version 03.03.01 or higher installed.
For Debian/Ubuntu use:$ sudo apt-get install remindUsing pip$ pip install remindThis will install all Python dependencies as well.Using python-setuptools$ python3 setup.py installSet up a Remind CalDAV serverHave a look atradicale-remindSync to an external iCalendar server (http; cron)curl URL | ics2rem >> ~/.remindersSync to an external CalDAV serverHave a look atremind-caldavShare your calendar using httprem2ics > /var/www/html/my.icsPublish the URL and use these guides to integrate it into other calendar software:Thunderbird/Lightning(Section: On the Network)Google CalendarApple CalendarFormat of the Remind MSG body%"summary at location%" descriptionThe%"is omitted, if there is no description in the iCalendar.Known limitationsiCalendar -> RemindRECURRENCE-ID is not supported at the moment. This is a limitation of the used python-vobject library, seehttp://lists.skyhouseconsulting.com/pipermail/vobject/2009-September/000204.html.Creating new calendars by adding includes to a main Remind file is not supported.Remind -> iCalendarEvents are only evaluated in the given time frame, so events extending it, are cut of (birthday reminders for example).Complex reminders are only preserved in their evaluated form (PUSH-OMIT-CONTEXT, OMIT, TRIGGER, BEFORE, SKIP).
Same holds true for function evaluation in MSG. For example having the age in a birthday reminder results in the same string for every year.
This could result in old data being provided as the internal state (cache) is only invalidated if one of the remind files change (last time stamp).Periodic reminders other then daily or weekly are not preserved.Two entries with the same content are only exported once.
Package: remind-caldav
Tools to sync from CalDAV to Remind (dav2rem.py) and the other way round (rem2dav.py).InstallationYou need to have the Remind command line tool installed.
For Debian/Ubuntu use:$ sudo apt-get install remindUsing pip$ pip install remind-caldavThis will install all Python dependencies as well.Using python-setuptools$ python3 setup.py installProviding the PasswordThere are a number of options how to provide the CalDAV password:Use anetrc(5)file (<domain> being the
domain part of the CalDAV URL):machine <domain> login <user> password <password>Usepython-keyringwith the CalDAV
URL as the service.Providing a password on the command line. Note that this leaks into the
environment.If no password is provided, the tools will ask for one.How to connect to GoogleGo tohttps://www.google.com/settings/security/lesssecureappsand enable
“Access for less secure apps”. This enables basic HTTP authentication as OAuth2
is not supported by python-caldav.URL:https://www.google.com/calendar/dav/calid/userWhere calid should be replaced by the “calendar ID” of the calendar to be
accessed. This can be found through the Google Calendar web interface as
follows: in the pull-down menu next to the calendar name, select Calendar
Settings. On the resulting page the calendar ID is shown in a section labelled
Calendar Address. The calendar ID for a user’s primary calendar is the same as
that user’s email address.https://developers.google.com/google-apps/calendar/caldav/v2/guide
Package: reminder-detector
REMINDerDetect packers on executable files using a simple entropy-based heuristic.REMINDer (REsponse tool for Malware INDication) is an implementation based onthis paperinto a Python package with a console script to detect whether an executable is packed using a simple heuristic.liefis used for binary parsing.$ pip install reminder-detector$ reminder --help
[...]
usage examples:
- reminder program.exe
- reminder /bin/ls --entropy-threshold 6.9Detection MechanismFind the EP sectionCheck whether it is writableIf yes, check whether entropy is beyond a threshold (depending on the executable format)If yes, the input executable is packed ; otherwise, it is notRelated ProjectsYou may also like these:Awesome Executable Packing: A curated list of awesome resources related to executable packing.Bintropy: Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes (inspired fromthis paper).Dataset of packed ELF files: Dataset of ELF samples packed with many different packers.Dataset of packed PE files: Dataset of PE samples packed with many different packers (fork ofthis repository).Docker Packing Box: Docker image gathering packers and tools for making datasets of packed executables.DSFF: Library implementing the DataSet File Format (DSFF).PEiD: Python implementation of the well-known Packed Executable iDentifier (PEiD).PyPackerDetect: Packing detection tool for PE files (fork ofthis repository).
Package: remind-me-some
Schedules some number of items that are due today.Tasks that you don’t get to are weighted to be more heavily in the future.FeaturesRepeatedly schedules tasks at a specified frequencySchedule a set number or less tasks each dayTasks that don’t get done or scheduled will increase in priorityTested on Python 3.6, 3.7, and 3.8Usage$gitclonehttps://github.com/audrow/remind-me-some$pipinstallremind-me-somefromdatetimeimportdate,timedeltafromremind_me_some.goalimportGoalfromremind_me_some.schedule_managerimportScheduleManagergoals=(("Call Mom",timedelta(weeks=1)),("Call Dad",timedelta(weeks=1)),("Call Grandma",timedelta(weeks=2)),("Call Grandpa",timedelta(weeks=2)),("Call Cousin",timedelta(weeks=4)),("Call Uncle",timedelta(weeks=4)),)goals_=[]forgoalingoals:goals_.append(Goal(name=goal[0],frequency=goal[1]))sm=ScheduleManager()sm.add_goals(*goals_)sm.update_schedule()print(sm)sm.run()# run the callback for the scheduled actionsm.run()# clear the action if it's completedprint(sm)DocumentationRemind-Me-Some’s documentation lives atremind-me-some.readthedocs.io.About Remind-Me-SomeRemind-Me-Some was created byAudrow Nash-audrow@hey.comDistributed under the MIT license. SeeLICENSE.txtfor more information.
Package: remind-task
remind_taskmacosで通知を繰り返すCLIアプリケーションInstall>pipinstallremind_taskUsage>remindtaskrun通知はユーザー設定によりバナーもしくは通知パネルになるが設定方法はシステム環境設定 -> 通知と移動してアプリケーション一覧からスクリプトエディタを選択する。停止する場合はctrl + cなどでプロセスを止めてくださいCommandsrun通知を行う。optionがない場合は1回だけ行う。--munuteType:int通知を繰り返す間隔を分単位で設定する>remindtaskrun--minute60# 60分ごとに通知を繰り返すedit設定ファイルをエディタで開く。optionがない場合は規定のエディタで開く--appType:strエディタを指定する。>remindtaskedit--appviminit設定ファイルを作成する。既に存在するなら何もしない--forceType:bool設定ファイルがあっても強制再作成する--silentType:boolログを出力しない>remindtaskinit--force--silentLicenseMIT ©atu4403
Package: remittance
==========remittance==========.. image:: https://img.shields.io/pypi/v/remittance.svg:target: https://pypi.python.org/pypi/remittance.. image:: https://img.shields.io/travis/drummonds/remittance.svg:target: https://travis-ci.org/drummonds/remittance.. image:: https://readthedocs.org/projects/remittance/badge/?version=latest:target: https://remittance.readthedocs.io/en/latest/?badge=latest:alt: Documentation Status.. image:: https://pyup.io/repos/github/drummonds/remittance/shield.svg:target: https://pyup.io/repos/github/drummonds/remittance/:alt: UpdatesA framework to model remittances.  Useful for writing software to process remittances.* Free software: MIT license* Documentation coming: https://remittance.readthedocs.io.Features--------Python interface for remittances. Eg creating a package for importing remittances into Xero.Or parsing XLS spreadsheets from AISThis is a collection of tools that I have used for helping my day to day work with AIS and Fenwicks.Credits-------This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template... _Cookiecutter: https://github.com/audreyr/cookiecutter.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage=======History=======0.0.46 (2018-03-01)------------------* First release on PyPI.
Package: remix
# Welcome to Echo Nest RemixEcho Nest Remix isthe Internet Synthesizer.Make amazing things from music, automatically.  Turn any music or video into Python, Flash, or Javascript code.Want more cowbell? [Remix can do it.](http://www.morecowbell.dj/“”)
Want to make it swing? [Remix can do it.](http://swingify.cloudapp.net/“”)
Want to turn any track into drum & bass? [Remix can do it.](http://the.wubmachine.com/“”)
Want to make new music videos out of old ones? [Remix can do it.](http://www.youtube.com/watch?v=_bW7AkhgQpc/“”)## Getting Started
We’ve made a shiny new page for getting Remix installed: <http://echonest.github.com/remix/> - if you have any problems, let us know!-![alt text](http://i.imgur.com/WWLYo.gif“Frustrated cat can’t believe this is the 12th time he’s clicked on an auto-linked README.md URL”)
Package: remla12-lib-release
LibraryThe lib repository requires a library that the app repository will depend on. The app repository will intall the lib through a package manager (PyPI). The library has to be published as a package in the same programming language as the app repository.Changing the below number by incrementing the PATCH version + 1 will trigger the automated workflow (e.g., 0.0.5 --> 0.0.6)
Note: you need to change init.py,readme,setupHere you can find all the versions of our lib in PyPi:https://pypi.org/project/remla12-lib-release/#historyRelease 0.1.9
Package: remlang
Rem LangaugeJust usePyPI. Recommend to installcytoolzbefore installing
Rem to speed up function invocations.pipinstallremlangSome Supported FeaturesSee all features atInrtoduction.Pattern
MatchingCurrently supportcasesyntax.case expr
    as destruction
    [when condition]
    => statements
endDictionary Pattern Matchingcase %{a: b}
    as {a : &b+1} => 1
    as {a : &b }  => 2
endFunction Parameter Destruction>> {|(1, 2, c)| c*2} (1, 2, 3)
=> 6**Inverted
Syntax**(see the priority table in the linked page)file . open . write some_text.has a high priority whilethenhas a lower one.Into
Statement(just
likegoto)Currying
FunctionScopeWhere Syntax and Block
ExpressionFor Comprehension and For
Loop关于中文编程Rem 支持中文编程,
因为它的tokenizer可以被动态操控，在任意一个Rem模块里，均有一个__compiler__对象，
负责处理输入语句到ast的转换。当下内置了一个无参函数中文编程，
便可以使用中文关键字。>> call 中文编程
>> 对于 [3, 2] 作为 [甲, 乙] => 甲 * 乙 结束
# 等价于 =>
# case [3, 2] as [甲, 乙] => 甲 * 乙 end
=> 6中英文token对照English中文then然后when当and并且or或者in含于not非case对于as作为end结束where其中from从import导入yield生成into跳跃到let使/让True真False假None空is是.之它它=等于
Package: remly
RemlySmall python library and CLI script which allows running computers remotely on LAN.InstallationpipinstallremlyUsage exampleA few motivating and useful examples of how remly can be used.CLI programusage:remly[-h]{s,w}...

Cliscriptallowturnonyourcomputerremotelyandcheckstatus

positionalarguments:{s,w}commandsscheckdevicestatus(acceptipv4andmac)wwakeupcomputer

optionalarguments:-h,--helpshowthishelpmessageandexitWake up deviceremlyw-mAA:AA:AA:AA:AA:AAusage:remlyw[-h][--macETH_ADDR][--portPORT][--bcastsBCASTS[BCASTS...]]optionalarguments:-h,--helpshowthishelpmessageandexit--macETH_ADDR,-mETH_ADDRdevicephysicaladdress--portPORT,-pPORTportforWoLprotocol(default:9)--bcastsBCASTS[BCASTS...],-bBCASTS[BCASTS...]broadcastaddress(default:192.168.0.255)Check device statusremly s -m AA:AA:AA:AA:AA:AAusage:remlys[-h][--macETH_ADDR][--ipv4IP_ADDRESS][--portPORT][--timeoutTIMEOUT]optionalarguments:-h,--helpshowthishelpmessageandexit--macETH_ADDR,-mETH_ADDRdevicephysicaladdress--ipv4IP_ADDRESS,-v4IP_ADDRESSdeviceipv4address--portPORT,-pPORTportforICMPprotocol(default:7)--timeoutTIMEOUT,-tTIMEOUTlibraryfromremlyimportwake_up,status# wake up devicewake_up(eth_addr='AA:AA:AA:AA:AA:AA',port=555,broadcast=['192.168.16.255'])# check device status# takes either an ip or a mac addressstatus(ip_address='192.168.16.5')# based on physical addressstatus(eth_addr='2b:56:ff:d3:3f:31',timeout=5,port=1)fromremlyimportwake_upknown_computers={'dev1':'2b:56:ff:d3:3f:31','dev2':'60:f4:4c:53:9a:7f'}for__,devinknown_computers.items():wake_up(eth_addr=dev,bcasts=['192.168.16.255'],port=9)Release History2.0code documentation.upgrade mac verification function to support more physical addresses formats.added future allows getting ip addres from mac (read_arptable).added checking device status function.1.0.5fixed a startup bug.improve code.removing unnecessary class.1.0.0release working program.MetaPiotr Markiewicz â€“@LinkedInâ€“sectasy0@gmail.coomDistributed under the MIT license. SeeLICENSEfor more information.https://github.com/sectasy0ContributingFork it (https://github.com/sectasy0/remly)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 Request
Package: remocker
remockermocking http request more easyinstallingpipinstallremockerHow to useFirst, you define Remocker app.fromremockerimportRemocker,RemockerRequest,RemockerResponsemocker_app=Remocker('https://api.test.com')@mocker_app.mock(method='GET',path='products')defget_products_mocker(request:RemockerRequest):returnRemockerResponse({'success':True,'given_params':request.query_params,})@mocker_app.mock(method='POST',path='products')defcreate_product_mocker(request:RemockerRequest):returnRemockerResponse({'success':True,'given_data':request.data,})@mocker_app.mock(method='GET',path=r'products/(?P<product_id>\d+)',regex=True)defget_product_mocker(request:RemockerRequest):returnRemockerResponse({'success':True,'given_product_id':request.url_params['product_id'],})Next, you can usemockingcontext manager.importrequestswithmocker_app.mocking():requests.get('https://api.test.com/products',params={'foo':'var'})requests.post('https://api.test.com/products',data={'foo':'var'})requests.get('https://api.test.com/products/1')# Also canimportremockerwithremocker.mocking(mocker_app):...