Saravanan666/pypi-org huggingface dataset:
Package: a2rl
Amazon Accessible RL SDK[Documentation|PyPI|Blog-01| Blog-02 (coming soon) ]Amazon Accessible RL (A2RL) is an open-source Python package forsequential decision making
problemusing offline time-series data.
It focuses on offline RL using state-of-the-art generative transformer technology – the same
technology behindGATO,trajectory
transformeranddecision
transformer.A2RL guides you throughproblem formulationviadata frames
API, conductinitial data
analysisto
see if a solution is possible, use the data to train asimulator(akadigital twin) based on the data, and providingrecommended
actions.Installationpipinstalla2rlUsageYou should start by formulating your problem intostates,actions, andrewards(see theonline documentation). Then, prepare a
dataset that reflects the formulation, using A2RL'sPandas-like API.A synthetic dataset is included to help you quickly jump into the end-to-end workflow:importa2rlaswifroma2rl.utilsimportplot_information# Load a sample dataset which contains historical states, actions, and rewards.wi_df=wi.read_csv_dataset(wi.sample_dataset_path("chiller")).trim().add_value()wi_df=wi_df.iloc[:1000]# Reduce data size for demo purpose# Checks and analysisplot_information(wi_df)# Train a simulatortokenizer=wi.AutoTokenizer(wi_df,block_size_row=2)builder=wi.GPTBuilder(tokenizer,model_dir="my-model",)model=builder.fit()simulator=wi.Simulator(tokenizer,model,max_steps=100,reset_coldstart=2)# Get recommended actions given an input context (s,a,r,v,...s).# Context must end with states, and its members must be tokenized.custom_context=simulator.tokenizer.df_tokenized.sequence[:7]recommendation_df=simulator.sample(custom_context,3)# Show recommendations (i.e., trajectory)recommendation_dfFor more examples, seenotebooks/(pre-rendered versionshere), and the A2RL blog series:part-1and part-2 (coming soon).Help and SupportContributingApache-2.0License
Package: a2s
a2sPython async function to sync function, Convert python async function to a sync function for calling from a normal
function in an existing event loopUsageimportasynciofroma2simportsync@syncasyncdefan_async_func():print("Hello World")defa_sync_func():an_async_func()passasyncdefmain():a_sync_func()passif__name__=='__main__':asyncio.run(main())
Package: a2squery
A2SQueryA2SQuery is a python implementation ofValve's A2S protocol.DocsView the full A2SQuery documentation here.FeaturesA2SQuery can retrieve various information from any game
server that implements the protocol. This includes all Source and GoldSource games.
The library will handle connecting, parsing, and even automatically respond to challenge requests.A2SQuery does not support multi-packet responses as they
are impossible parse without knowing information about the server
beforehand.PrerequisitesPython >= 3.6InstallationInstall the library via pypi withpip install a2squeryGetting StartedTo start querying servers, we'll need an
instance ofa2squery.A2SQuery. We can either create one manually,
or use a context manager. For this example, we will be using a context manager.>>>froma2squeryimportA2SQuery>>>withA2SQuery("127.0.0.1",27015)asa2s:Now, with the A2SQuery instance, we can query the game server.When usinga2squery.A2SQuerywithout a context manager.
Remember to calla2squery.A2SQuery.close()when finished.>>>froma2squeryimportA2SQuery>>>withA2SQuery("127.0.0.1",27015)asa2s:>>>print(a2s.info())SourceInfo(protocol=17,name="Awp Bhop",map="awp_iceworld",folder="csgo",game="Counter-Strike: Global Offensive",app_id=730,players=43,max_players=64,bots=0,server_type=ServerType.Dedicated,environment=Environment.Linux,password=False,vac=True,version="1.38.4.4",extra_data_flag=177,mode=None,witnesses=None,duration=None,port=27015,steam_id=85568392924437989,spectator_port=None,spectator_name=None,keywords="awp,bhop,a2squeryiscool",game_id=730)Supported GamesApp IDGameNotes...All Half-Life/Half-Life 2 mods and games10Counter-Strike 1.6440Team Fortress 2550Left For Dead 2730Counter-Strike: Global Offensive1002Rag Doll Kung Fu2400The Ship: Murder PartyThis game has various unique fields ona2squery.SourceInfoanda2squery.Player.4000Garry's Mod17710Nuclear Dawn70000Dino D-Day107410Arma 3The query port is the server port + 1.115300Call of Duty: Modern Warfare 3211820Starbound244850Space EngineersThe query port is the server port + 1.304930UnturnedThe query port is the server port + 1.2515707 Days To Die252490Rust282440Quake Live346110ARK: Survival Evolved108600Project: Zomboid
Package: a2sv
Installation$ pip install a2sv && a2svFeaturesa2sv, ** Auto Scanning to SSL Vulnerability **How to install ?$ pkg install python -y
$ pip install a2sv
$ a2svRun ?$ a2svDisclaimerWe are not responsible for your loss by this tool.
this tool is made for Education/Learning Purpose.
Dont harm anyone using this tool.Usage$ a2sv -h

Author : hahwul
PIP module : Parixit Sutariya
Github : github.com/Bhai4You
Blogspot : https://bhai4you.blogspot.comGithub
Package: a2svm
a2svmis a Simple CLI tool to create and delete easily virtualhosts in Apache.usage: a2svm [-h] [-v] {mk,ls,rm,en,ds} …a2svm commands are:mkCreate a virtualhostslsShow managed virtualhosts on Apache serverrmDelete a virtualhostsenEnable a virtualhostsdsDisable a virtualhostsSee ‘a2svm <command> -h’ for more information on a specific command.PyPI packagehttp://pypi.python.org/pypi/a2svmSourceshttps://github.com/cypx/a2svmRequirementsa2svm need apache mod_macro which could be installed on debian 6 by the following command$aptitudeinstalllibapache2-mod-macroOnce mod_macro is avalaible some template could be created for use by a2svm like this one<Macrovhost_standard$name$servername$directory><VirtualHost*:80>ServerName$servernameDocumentRoot/var/www/$directory/public<Directory/var/www/$directory>OptionsFollowSymLinksMultiViewsAllowOverrideAllOrderallow,denyallowfromall</Directory>ErrorLog${APACHE_LOG_DIR}/error-$name.log#Possiblevaluesinclude:debug,info,notice,warn,error,crit,#alert,emerg.LogLevelwarnCustomLog${APACHE_LOG_DIR}/access-$name.logcombined</VirtualHost></Macro>#Commentsbeginningby"a2svm_make_command"areusedtorunexternalcommands#whenvhostiscreated#a2svm_make_command:/bin/mkdir-p/var/www/$directory/public/var/www/$directory/log#a2svm_make_command:/bin/chown-Rcyp:www-data/var/www/$directory#Commentsbeginningby"a2svm_remove_command"areusedtorunexternalcommands#whenvhostisremoved#a2svm_remove_command:/bin/tarczf/var/www/archive/$servername.tgz/var/www/$directory#a2svm_remove_command:/bin/rm-rf/var/www/$directoryInstallationInstall it easily:Using pip$pipinstalla2svmWarning! On some old distribution using Python 2.x, you could require to upgrade pip to support install, run:$pipinstall--index-url=https://pypi.python.org/simple/--upgradepipsetuptoolsUsing easy_installOn most Linux distribution$easy_installa2svmBut on some, prerequisites are required, for example, on Debian 6$aptitudeinstallpython-pipUpgradeUsing pip$pip--upgradea2svmUsing easy_install$easy_install--upgradea2svmFrom sources$gitclonehttps://github.com/cypx/a2svm$cda2svm$pipinstall-rrequirements.txt$pythonsetup.pyinstallReminderTo publish package on pypi$pipinstalltwine$rm-rfdist$pythonsetup.pysdistbdist_wheel$twineuploaddist/*
Package: a2w
ANSI-to-webTTool  to convert ANSI output to HTML. Optionally it can also upload the result to a web server/service and return a sharable url.Free software: MIT licenseDocumentation:https://a2w.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2018-08-02)First release on PyPI.
Package: a2woz
a2woz - minimally process a2r files into woz filesUsageOne-time installation:pipinstallhttps://github.com/adafruit/a2wozConvert a single file:a2wozinput.a2rConvert multiple files, with output directory:a2woz--output-dirout*.a2rFull usage:a2woz--helpTheory of a2r to woz raw conversion:The a2r file contains "1 and a fraction" revolutions, for each track. (It can actually contain multiple revolutions, but ignore that for now)a2woztakes a revolution, then finds all the "sync points".
"sync points" are a sequence of 2 or more "FF36" or "FF40", which are used
by the floppy interface controller to synchronize with data on the floppy.For each pair of sync points within some distance of the start of the capture,
and some distance of the "estimated bit length" of the capture, find the
similarity measure.  A similarity of 1.0 indicates that the next few thousand
bits (at least one full 256-byte sector) are an exact match; a similiary of
0.67 seems to happen for random/fake flux regions.The pair of sync points with the best similarity is used as the "exact bit length" of the track.
Ties are broken by choosing the resulting track length that is closest to the estimated bit length.
Chop the flux after exactly this many bits, and write it to the output woz file.That's about all there is to it.This has worked for a small set of a2r files:Amnesia - Disk 1, Side A.a2r (4am from archive.org)DOS 3.3 System Master [1983] - Disk 1, Side A.a2r (cowgod from archive.org)skyfox.a2r (jepler from fluxengine)TODOShare with the worldTry more a2rsGraft in the greaseweazle flux readers & use them as input formatsTry different revolutions, if available in the a2r file, hopefully
finding a single best revolutionProperly handle "weak bits" by locating stretches that look like they are
not valid flux (due to sequences of 3+ zeros), and setting all the bits in
the region to 0. A proper emulator then generates fake flux for these
sections of the track.Creditsa2woz is based on passport.py, a2rchery, and wozardry from@a2-4am.
Package: a2wsgi
a2wsgiConvert WSGI app to ASGI app or ASGI app to WSGI app.Pure Python. Only depend on the standard library.Compared with other converters, the advantage is that a2wsgi will not accumulate the requested content or response content in the memory, so you don't have to worry about the memory limit caused by a2wsgi. This problem exists in converters implemented by uvicorn/startlette or hypercorn.Installpip install a2wsgiHow to useWSGIMiddlewareConvert WSGI app to ASGI app:froma2wsgiimportWSGIMiddlewareASGI_APP=WSGIMiddleware(WSGI_APP)WSGIMiddleware executes WSGI applications with a thread pool of up to 10 threads by default. If you want to increase or decrease this number, just likeWSGIMiddleware(..., workers=15).WSGIMiddleware utilizes a queue to direct traffic from the WSGI App to the client. To adjust the queue size, simply specify the send_queue_size parameter (default to10) during initialization, like so: WSGIMiddleware(..., send_queue_size=15). This enable developers to balance memory usage and application responsiveness.ASGIMiddlewareConvert ASGI app to WSGI app:froma2wsgiimportASGIMiddlewareWSGI_APP=ASGIMiddleware(ASGI_APP)ASGIMiddlewarewill wait for the ASGI application's Background Task to complete before returning the last null byte. But sometimes you may not want to wait indefinitely for the execution of the Background Task of the ASGI application, then you only need to give the parameterASGIMiddleware(..., wait_time=5.0), after the time exceeds, the ASGI task corresponding to the request will be tried to cancel, and the last null byte will be returned.You can also specify your own event loop through theloopparameter instead of the default event loop. LikeASGIMiddleware(..., loop=faster_loop)Access the originalScope/EnvironSometimes you may need to access the original WSGI Environ in the ASGI application, just usescope["wsgi_environ"]; it is also easy to access the ASGI Scope in the WSGI Application, useenviron["asgi.scope"].BenchmarkRunpytest ./benchmark.py -sto compare the performance ofa2wsgianduvicorn.middleware.wsgi.WSGIMiddleware/asgiref.wsgi.WsgiToAsgi.Why a2wsgiConvert WSGI app to ASGI appYou can convert an existing WSGI project to an ASGI project to make it easier to migrate from WSGI applications to ASGI applications.Convert ASGI app to WSGI appThere is a lot of support for WSGI. Converting ASGI to WSGI, you will be able to use many existing services to deploy ASGI applications.Compatibility listThis list quickly demonstrates the compatibility of some common frameworks for users who are unfamiliar with the WSGI and ASGI protocols.WSGI:Django(wsgi)/Kuí(wsgi)/Pyramid/Bottle/FlaskASGI:Django(asgi)/Kuí(asgi)/Starlette/FastAPI/Sanic/QuartUnsupport:aiohttp
Package: a2y
Python Module: a2y这个模块的存在只是为了简化a2y系列模块的安装：只要安装a2y包，所有a2y系列的包都将一次性全部安装。
是的，a2y模块依赖了其他所有a2y包。但它本身没有提供任何实质性的功能。
Package: a2y-fef
Python Module: a2y_mewa2y_mew模块实现了扩展的Mewtocol通信协议。原始的Mewtocol来自Panasonic，用于其FP系列PLC与上位机、触摸屏等设备通信。
本模块在以下方面对Mewtocol进行了扩展：地址空间从8位整数扩展为不定长，最高可达32位。为了兼容性，最小为8位，在报文中至少占两个字节。通讯方式从半双工增强为全双工，即主从双方可以同时发送数据。当从设备发生了某个事件（例如，输入点发生了变化），可以主动给主机发送报文。
Package: a2y-mew
Python Module: a2y_mewa2y_mew模块实现了扩展的Mewtocol通信协议。原始的Mewtocol来自Panasonic，用于其FP系列PLC与上位机、触摸屏等设备通信。
本模块在以下方面对Mewtocol进行了扩展：地址空间从8位整数扩展为不定长，最高可达32位。为了兼容性，最小为8位，在报文中至少占两个字节。通讯方式从半双工增强为全双工，即主从双方可以同时发送数据。当从设备发生了某个事件（例如，输入点发生了变化），可以主动给主机发送报文。
Package: a2y-modbus
Python Module: a2y_modbusa2y_modbus模块实现了基本的Modbus通信协议，包括以下功能码：0x01，读多个连续的线圈。0x03，读多个连续的寄存器。0x05，写单个线圈。0x06，写单个寄存器。0x10，写多个连续寄存器。目前只包含有做为主站的功能，从站未有实现。
Package: a2y-paratreeui
Python Module: a2y_paratreeuia2y_paratreeui 模块实现了 a2y_paratree 模块所需要的 UI 部分。本模块只是图形界面，没有提供实质功能，通常不会单独使用。用户应使用 a2y_paratree 模块提供的参数配置功能。
Package: a2y-sql
Python Module: a2y_sqla2y_sql 模块从老旧的 sorobust.zip 大杂烩模块移植而来。
主要是为了完成天人轴承的轴承芯技术分解项目而创建。
这个模块具体实现的功能已经忘得差不多了。
因为现在又有了天人的项目，所以又要把这个模块重新熟悉使用起来。刚开始的项目使用的数据库是 MySQL 5.1.4，安装程序在百度网盘中，名字叫 mysql-essential-5.1.4.msi。
使用的数据库工具是 Navicat-MySql.rar。
由于当时的数据库还一直使用着，后面也只能继续使用这个老旧的版本。
为了稳定，避免不必要的麻烦，数据库连接模块也就只能继续使用已经 deprecated 的 mysql-connector-2.2.x。
只是，那时候使用的是 Python2.7，现在是 Python3.6，旧版的 connector 时候能跟 Python3.6 和平共处还是个问题哦……
Package: a3cosmos
A simple introduction:This Python package contains some useful functions to query A3COSMOS catalog and make cutout images.It is currently under development.A simple usage:To query source by RA Dec coordinate::import a3cosmos as a3c
a3cosmos.find_source(RA = 150.0, Dec = 2.0)To make a cutout image centered at a source RA Dec coordinate::import a3cosmos as a3c
a3cosmos.make_cutout(RA = 150.0, Dec = 2.0, FoV = 10, Band=’Ks’)
# Note that this is currently not working for ALMA images because our data are still waiting to be released on COSMOS IRSA website.More functions underway::TODO
Package: a3d-cli
A3D CLIAccessing the Axial3D apis from the command lineRequirementsPython 3.7, 3.8, 3.9Installpip install a3d-cliUsageCreate an order:a3dcli create --config_file config.json --dicom_location ./path_to_dicoms/ --order-type 3DPrint --notes notes --surgery 'Surgery' --patient-gender M --patient-birth-year 2001 --catalogue-item 101 --required-date '10-08-2021'Update an ordera3dcli upload --config_file config.json --dicom_location ./path_to_dicoms/ --order_id 1000View help:a3dcli --help
usage: a3dcli [-h] --config_file CONFIG_FILE --order-type [ORDER_TYPES [ORDER_TYPES ...]] --catalogue-item-id [CATALOGUE_ITEM_ID] --surgery [SURGERY] --required-date [REQUIRED_DATE]
              --patient-gender [{M,F,U}] --patient-birth-year [BIRTH_YEAR] --notes [NOTES] [--base_url BASE_URL] [--verify] [--username USERNAME] [--password PASSWORD] [--order_id ORDER_ID] [--dicom_location DICOM_LOCATION] {create,upload}

Axial3D CLI (0.2.0)

positional arguments:
  {create,upload}
                        Create Order, Upload by order id

optional arguments:
  -h, --help            show this help message and exit
  --config_file CONFIG_FILE
                        a3dcli config file
  --order-type [ORDER_TYPES [ORDER_TYPES ...]]
                        Order Types
  --catalogue-item-id [CATALOGUE_ITEM_ID]
                        Catalogue Item
  --surgery [SURGERY]   Surgery
  --required-date [REQUIRED_DATE]
                        Required Date
  --patient-gender [{M,F,U}]
                        Gender
  --patient-birth-year [BIRTH_YEAR]
                        Gender
  --notes [NOTES]       Notes
  --base_url BASE_URL   Base url of axial3D API
  --verify
  --username USERNAME   axial3D account username
  --password PASSWORD   axial3D account password
  --order_id ORDER_ID   ID of the order
  --dicom_location DICOM_LOCATION
                        Path to DICOM filesDev requirementsPoetry -https://python-poetry.org/Tox -https://tox.readthedocs.io/Buildpoetry buildTestingUnit testspoetry run pytestIntegration testspoetry run pytest --integration --integration-user USERNAME --integration-password PASSWORD --integration-url https://example.comBuildpoetry build

> Building a3d-cli (0.1.0)
> - Building sdist
> - Built a3d-cli-0.1.0.tar.gz
> - Building wheel
> - Built a3d_cli-0.1.0-py3-none-any.whl
Package: a3dj
a3dj基于django做了一些规则设定，让开发过程更简单特点不用专门写注解或语法，就可以全量生成open api文档，包含各种异常返回非常方便写单元测试抛出一个异常就是一个异常响应；单元测试时甚至也可以在发出请求后去捕获这个异常请求时想用json用json、想用form-data用form-data自问自答1. 为什么用纯post的方式，不用restful？如果项目只是纯sql数据对象的增删改查，用restful、GraphQL更合适我经历的项目通常都比这个复杂一些，多种类型的数据库、不能简单抽象为资源的业务、需求还老变、对严谨性要求稍高等，让我使用restful时考虑怎样restful占用了很常时间总的来说，我很快放弃了restful；后来又经历了带新人，甚至想让其他人也能看得懂代码，我的需要就变成了：适应快速变化、简单易懂纯post的方式，也可以提供增删改查的基类便于快速实现增删改查；对于习惯了restful风格开发的前后端程序员来说，这个只会更简单2. 为什么不使用或基于django-rest-framework？它很复杂、上手需要花费较多时间进行系统的学习不直观、不易懂，反而容易混淆，比如serializer3. 为什么重新写form模块？django的form模块对于生成open api文档来说，太简陋了；对于平常使用（非admin）来说太重了
Package: a3faker
a3fakerIt's just a thin wrapper ofFaker, because PyCharm cannot autocomplete Faker related code.Installpipinstalla3fakerExamples1. AutocompletefromfakerimportFakerfroma3fakerimportTypePersonFaker,TypeAllFakers# But there is a warning here，the solution is below.f:TypePersonFaker=Faker()f.name()f:TypeAllFakers=Faker()f.past_date()2.FakerProxyget LOCALE from environment variableimportosfroma3fakerimportFakerProxy,TypePersonFakeros.environ['FAKER_LOCALE']='zh_CN'f:TypePersonFaker=FakerProxy.get_faker()f.name()
Package: a3json-struct
a3json-structdescribe json struct with python classInstallpipinstalla3json-structExamplesfromdatetimeimportdatetimefroma3json_structimportstructclassComment(struct.JsonStruct):content=struct.CharField()post_time=struct.DateTimeField()classVideo(struct.JsonStruct):id=struct.IntegerField(verbose_name='video id')url=struct.CharField()title=struct.CharField(min_length=5,max_length=30)description=struct.CharField()score=struct.DecimalField()view_count=struct.IntegerField(default=0)tag_list=struct.ListField(element_field=struct.CharField(min_length=2,max_length=8),required=False)comment_list=struct.ListField(element_field=struct.ObjectField(obj_kls=Comment))if__name__=='__main__':comment=Comment()comment.content="content"comment.post_time="2023-09-10 20:32"video=Video()video.id=12345video.url="https://xxx.xxx/12345.mp4"video.title="video title"video.description="video description"video.score='2.3'video.comment_list=[comment,# instance{"content":"content","post_time":datetime.now()}# or dict]video.full_clean()# clean instance (the step can be omitted)video.to_json()# return json dict
Package: a3m
What is a3m?a3mis a lightweight version of Archivematica focused on AIP creation. It has
neither external dependencies, integration with access sytems, search
capabilities nor a graphical interface.All functionality is made available as agRPCservice
with a minimal set of methods and strongly typed messages. a3m can be executed
as a standalone process or be embedded as part of your application.For more documentation, please seehttps://a3m.readthedocs.io.a3m is a proof of concept. Please send us your feedback!
Package: a3py
a3pyPython utils.History.Installpipinstalla3pyExamples1. Simplified examplefromdatetimeimportdatefroma3py.simplified.datetimeimportdate2strassertdate2str(date(2019,10,3))=='2019-10-03'2. Improved examplefroma3py.improved.jsonimportfast_dumpsfast_dumps([1,2,3])3. Readable examplefroma3py.improved.readableimportget_readable_sizeassertget_readable_size(1024*1024)=="1.0MB"
Package: a3redis
a3redisIt is just a thin wrapper of redis.History.Installpipinstalla3redisExamples1. conf{"standalone":{"mode":"standalone","init":{"host":"standalone-redis-master","port":6379,"db":0,"password":"standalone","decode_responses":true}},"sentinel":{"mode":"sentinel","init":{"sentinels":[["sentinel-redis-node-0.sentinel-redis-headless",26379],["sentinel-redis-node-1.sentinel-redis-headless",26379],["sentinel-redis-node-2.sentinel-redis-headless",26379]],"sentinel_kwargs":{"password":"sentinel"},"password":"sentinel","db":1,"decode_responses":true},"runtime":{"service_name":"my-master"}},"cluster":{"mode":"cluster","init":{"host":"cluster-redis-cluster","port":6379,"password":"cluster","decode_responses":true}}}2. Structures2.1 Hashfroma3redis.structuresimportHashclassUser(Hash):main_key='user:{id}'_hkey_username='username'defget_username(self)->str:returnself.get_member_by_key(self._hkey_username)defset_username(self,username:str):self.set_member(self._hkey_username,username)if__name__=='__main__':# If the redis service configuration is not specified, the `redis://localhost:6379/0` will be used.user=User(id='123')user.set_username('xxx')user=User(id='234')user.get_username()2.2 Listfroma3redis.structuresimportListfroma3redis.basesimportRedisClientFactoryclassMessageList(List):# Specified redis server by rdb_conf_namerdb_conf_name="cluster"main_key="message_list"if__name__=="__main__":RedisClientFactory.init_redis_clients(conf={"cluster":"Refer to the conf json above"})message_list=MessageList()message_list.right_push("......")2.3 Stringfroma3redis.structuresimportStringfroma3redis.basesimportRedisClientFactoryclassDataCache(String):rdb_conf_name="cache"main_key="data:{id}"if__name__=="__main__":RedisClientFactory.init_redis_clients(conf={"sentinel":"Refer to the conf json above"})readwrite_rdb=RedisClientFactory.get_rdb("sentinel")DataCache(id=123,rdb=readwrite_rdb).set(".....")readonly_rdb=RedisClientFactory.get_rdb("sentinel",readonly=True)data=DataCache(id=123,rdb=readonly_rdb).get()3. Different redis serve modefroma3redis.basesimportRedisClientFactory,RedisModefroma3redis.structuresimportHashclassUser(Hash):main_key='user:{id}'_hkey_username='username'defget_username(self)->str:returnself.get_member_by_key(self._hkey_username)defset_username(self,username:str):self.set_member(self._hkey_username,username)if__name__=='__main__':# load all redis serverRedisClientFactory.init_redis_clients(conf={"...":"Refer to the conf json above"})localhost_anonymous_rdb=Nonestandalone_rdb=RedisClientFactory.get_rdb(RedisMode.Standalone)sentinel_rdb=RedisClientFactory.get_rdb(RedisMode.Sentinel)cluster_rdb=RedisClientFactory.get_rdb(RedisMode.Cluster)forrdbin[localhost_anonymous_rdb,standalone_rdb,sentinel_rdb,cluster_rdb]:user=User(id="123",rdb=rdb)user.set_username("tom")user.get_username()user.delete()
Package: a3rt-talkpy
A3RT-TalkPyA3RT-TalkPyは、A3RT TalkAPIをPythonから利用するための、非公式ラッパーライブラリです。なぜ作ったのか？俺が使う理由もなく無駄なライブラリをわざわざ作るわけがないだろう...A3RT TalkAPIとは？株式会社リクルートが立ち上げた新規事業の１つであるA3RTという機械学習API群のAPIの１つで、TalkAPIでは会話を行うことができます。詳しくは、A3RT TalkAPIのページをご覧ください。A3RT-TalkPyとは？上記で述べた、A3RT TalkAPIをPythonから利用するための、非公式ラッパーライブラリです。非同期による処理が可能です。必要条件このライブラリを使用するには、以下の環境が必要です。Python 3.10 以上TalkAPIのAPIキー （こちらから発行できます。）インストールpipinstalla3rt-talkpy使い方同期処理froma3rt_talkpyimportTalkClientAPI_KEY="aaabbbcccddd"# APIキーを入力してください。client=TalkClient(API_KEY)defmain():query=input("> ")response=client.talk(query)print(response.reply)if__name__=="__main__":main()非同期処理importasynciofroma3rt_talkpyimportAsyncTalkClientAPI_KEY="aaabbbcccddd"# APIキーを入力してください。client=AsyncTalkClient(API_KEY)asyncdefmain():query=input("> ")response=awaitclient.talk(query)print(response.reply)if__name__=="__main__":asyncio.run(main())ライセンスLICENSEをご確認ください。
Package: a_3y
# 3yzh
Formerly known as: 3y
Renamed name :a_3y
A three-circle calculator, It contains Circle Circles and Cylinders.
It is in Chinese.If you konw how to speak and write or mean these,you can useNow,you can Download and input python 3y and then it will runningPlease comply with local laws and regulations,
User only has the right to use
The final interpretation belongs to the author
For mainland China only.
You can see or read the log in log.py
This means that you have read and agreed to all the above regulations.Welcome Download and use!