Saravanan666/pypi-org huggingface dataset:
Package: ark-client-CERTIC
Ark Python clientBasic usage:from ark import Client, ClientError
api = Client(YOUR_APP_ID, YOUR_SECRET_KEY, "https://ark.provider.tld/api/v1/")

ark_name = api.create(
    "http://somewhere.tld/some-resource/", {
        "who": "someone", 
        "what": "something", 
        "where": "somewhere" 
    }
)

ark_infos = api.read(ark_name)

api.update(ark_name, "http://somewhereelse.tld/some-resource/")

try:
    api.read("doesnot/exist")
except CLientError as e:
    print(e.response.status_code)  # response contains a Python/Requests response objectBatch mode:batch = api.batch()
batch.read(ark_name)
batch.create("http://somewhere.tld/some-resource/")
batch.update(anothe_ark_name,"http://somewhere.tld/some-other-resource/")
for item in batch.commit():
    print("{}: {}".format(item["ark_name"], item["ark_location"]))In batch mode, method chaining is available:api.batch()
   .read(some_ark_name)
   .read(some_other_ark_name)
   .update(yet_another_name, "http://somewhereelse.tld/")
   .commit()
Package: arkcloud
Ark-BotInstall the ExecutableAMD ComputersTo run this make sure you have python 3.10 installed and run this executable:Ark-Driver/pywin32-304.win-amd64-py3.10.exeIntel ComputersTo run this make sure you have python 3.9 installed and run this executable:Ark-Driver/pywin32-304.win32-py3.9.exeChoosing a terminalPick which terminal you'll be running the bot:Linux TerminalWindow TerminalLinux TerminalInstall the arkdriver.pip3installarkdriverRun your python environment.python3In your python environment enter the following:fromarkdriverimportrunrun()You're running the bot now. Now go to theFinal StepsWindows TerminalInstall the arkdriver.pipinstallarkdriverRun your python environment.pythonIn your python environment enter the following:fromarkdriverimportrunrun()You're running the bot now. Now go to theFinal StepsFinal StepsHop into your server and activate GCM (aka Admin mode).
Go into the Ark-API and submit a command. The bot should
have received the command if done correctly.
Package: arkdriver
Ark-BotInstall the ExecutableAMD ComputersTo run this make sure you have python 3.10 installed and run this executable:Ark-Driver/pywin32-304.win-amd64-py3.10.exeIntel ComputersTo run this make sure you have python 3.9 installed and run this executable:Ark-Driver/pywin32-304.win32-py3.9.exeChoosing a terminalPick which terminal you'll be running the bot:Linux TerminalWindow TerminalLinux TerminalInstall the arkdriver.pip3installarkdriverRun your python environment.python3In your python environment enter the following:fromarkdriverimportrunrun()You're running the bot now. Now go to theFinal StepsWindows TerminalInstall the arkdriver.pipinstallarkdriverRun your python environment.pythonIn your python environment enter the following:fromarkdriverimportrunrun()You're running the bot now. Now go to theFinal StepsFinal StepsHop into your server and activate GCM (aka Admin mode).
Go into the Ark-API and submit a command. The bot should
have received the command if done correctly.
Package: arke-discord
ArkeA Python Discord API Wrapper made from the ground up... I guess.WhyI got really bored while on vacation one day. So I started this project.
I don't have any intentions of taking this project seriously (because I tried that before and it didn't work),
but we will see what happens.NameIt comes from the Greek Mythological figure named Arke, who was a messenger goddess for the Titans.
The name means "swift", which implies this Discord API Wrapper is fast. It probably is.What's ImplementedREST APIRatelimitingError ParsingBot & Bearer AuthenticationRoute WrappingNOTE: this library will not wrap the routes themselves because they constantly change.
This library will only give the foundations needed for route wrapping for others to do it.GatewayConnection HandlingEvents/DispatcherRatelimitingError HandlingShardingLicenseArke is licensed under the MIT license. Please read theLICENSEfile for more information.
Package: arkesel-python
arkesel_pythonPython Library for the Arkesel APIFree software: MIT licenseDocumentation:https://arkesel-python.readthedocs.io.Arkesel API Python LibraryA Python library for the Arkesel API. Allows you to do anything the Arkesel API does, but from within Python apps – send bulk messages , send OTP for phone-number/users authentication, creating and adding contacts to yout groups etc.DocumentationThe documentation for the Arkesel API can be foundhereThe documentation for the Arkesel Python library documentation can be foundhereHistory0.1.0 (2021-08-13)First release on PyPI.
Package: arketip
arketippython3.10 introduced user-defined TypeGuards. Finally giving users the ability to actually code type narrowing functions themselves and avoid shortfalls of mypy. However, for most builtin basic types automatic TypeGuards are still missing. Writing these TypeGuards yourself for each of your types from scratch can feel redundant and frustrating. arketip is an effort to generate these TypeGuards automatically based solely on the type annotations.Example 1: TypeGuardsHere's an example of how you can use arketip to generate TypeGuards for a TypedDict. Let's suppose you have a TypedDict like this:classPerson(TypedDict):uid:intname:strYou might already have observed that you can not useisinstanceto check whether a variable is of that type.isinstance({"uid":5,"name":"jeeves"},Person)# TypeError: TypedDict does not support instance and class checksSo how can you do type narrowing in that case? Well, you need to write a TypeGuard yourself.defis_person(data:Any)->TypeGuard[Person]:return(isinstance(data,dict)andset(data.keys())=={"uid","name"}andisinstance(data["uid"],int)andisinstance(data["name"],str))is_person({"uid":5,"name":"jeeves"})# Trueis_person({"name":"jeeves"})# Falseis_person({"uid":5.0,"name":"jeeves"})# Falseis_person({"uid":5,"name":b"jeeves"})# FalseAs you can see this works perfectly, but these TypeGuards really feel like you are just duplicating the information that is already contained in the type, just to make mypy happy. Well, it's because it is actually duplicated. And even worse, for more complex nested types this gets out of hand quickly. arketip'sis_typeuses just the information from the type to automatically generate such TypeGuards for you.is_type({"uid":5,"name":"jeeves"},Person)# Trueis_type({"name":"jeeves"},Person)# Falseis_type({"uid":5.0,"name":"jeeves"},Person)# Falseis_type({"uid":5,"name":b"jeeves"},Person)# FalseThat's it, it's literally the same function, but automatically generated for you by arketip.Example 2: castingAnother use-case is casting, maybe you know that only one type is valid in a certain scenario. Let's say you again have the same TypedDict:classPerson(TypedDict):uid:intname:strwith arketip, this is a breeze:jeeves=cast_to_type({"uid":5,"name":"jeeves"},Person)
Package: arkfunds
A Python library for monitoringArk Investfunds data.InstallationInstall the latest release fromPyPI:pip install arkfundsQuickstartfromarkfundsimportETF,Stock# ARK ETFsetf=ETF("ARKK")etf.profile()etf.holdings()etf.trades()etf.news()# Stockssymbols=["tsla","coin","tdoc"]stock=Stock(symbols)stock.profile()stock.fund_ownership()stock.trades()stock.price()stock.price_history()Getting StartedSee ourGetting started guidein the documentation.LicenseThis project is licensed under theMIT license. Feel free to edit and distribute this template as you like.SeeLICENSEfor more information.
Package: arkgamepy
ARKpy====**v0.1.3**ARKpy is a library for reading and writing the file formats of ARK: Survival Evolved with the python programming language. ARKpy does not simply look for the offsets of particular strings to find the data (like other existing libraries/scripts), but reads the entire data structure of the file into memory.For those interested in the reverse engineering of the file types the specifications can be found among the library docs.[Docs](http://arkpy.readthedocs.io/en/latest/) **|**[File Format Specs](http://arkpy.readthedocs.io/en/latest/formats/) **|**[Examples](https://github.com/DerekRies/arkpy-examples)## Features- Read and Write the following file types- **.arkcharactersetting** (Character creator preset files)- **.arkprofile** (LocalPlayer.arkprofile or steamid.arkprofile, no LocalPlayerData)- **.arktribe**- Create new characters or tribes dynamically- Friendly API wrapper around the data- Maps to enumerate through and identify the proper index for:- **BoneModifierSlots** (Head Size, Chest, etc...)- **Body Colors** (Skin, Hair, Eyes)- **Stats** (Health, Oxygen, Stamina, etc...)- **Item Blueprint Paths/IDs**## Installation```pip install arkgamepy```## Usage#### Reading an .arkprofile file```pythonfrom arkpy.ark import ArkProfilefrom arkpy.ark import BoneMap, StatMap, BodyColorMapfile_path = 'data/SavedArksLocal/LocalPlayer.arkprofile'profile = ArkProfile(file_path)print profile.character.nameprint profile.character.level_upsprint profile.character.experienceprint profile.character.engram_points# Get all the Stat points allocated and print them with a string# identifying which stat they arestats = profile.character.stat_pointsfor stat in StatMap:print '%s: %s' % (stat.name, stats[stat])# Get all the BoneModifier values and print them with a string# identifying which bone it isbones = profile.character.body_modifiersfor bone in BoneMap:print '%s: %s' % (bone.name, bones[bone])```
Package: arkhamdb
python-arkhamdbPythonic wrapper around the excellentArkhamDB API. Designed to be standalone and importable to other projects.Documentation can be found atarkhamdb.readthedocs.io. See thelatestbranch for the master (stable) code anddevelopfor current (unstable) working version of the code.Simple usageTODO: add examplePython VersionThis library is tested against Python 3.7+
Package: arkhn-arx
arkhn_arxarkhn_arx is a module for dataset pseudonymization or anonymization which wraps pyarxaasInstallpip install arkhn_arxConnection to ARXaas serviceThis module useshttps://github.com/navikt/arxaasservice.To run this service locally :Make sure Docker Desktop is runningPull the Docker imagedocker pull navikt/arxaasRun the Docker imagedocker run -p 8080:8080 navikt/arxaasAnonymizationPrincipleThis module can be used in 3 modes : to evaluate reidentification risk of a dataset, pseudonymize dataset or anonymize dataset.
Anonymization is performed using k-anonymity and l-diversity algorithms.k-anonymity ensures that the information for each person contained in the release cannot be distinguished from at least k-1 individuals whose information also appears in the release (defining a k-anonymity group).l-diversity ensures that sensitive attributes are well represented (at least l distinct values) in each k-anonymity groupArgumentsinput_dataframeto anonymizeconfiguration_file: json file containing anonymization parametersconfig_dict = {"anonymization":{"type": 2, "k":2, "l":2},
                "attributes":[
                            {"customName":"att_1",
                             "att_type":"att_type"
                             "hierarchy_type":"hierarchy_type"}, 
                            ]
                }Anonymization parameters:type : 0 returns risk metrics for initial dataset, 1 pseudonymize dataset, 2 anonymize datasetk : parameter for K-anonymityl : parameter for l-diversityAttributes parameters: for each attribute gives :customName : column name of attribute in dataframeatt_type : attribute type for anonymization, can be:"insensitive": will be kept unmodified"sensitive": will be kept as-is but they can be protected using privacy models, such as t-closeness or l-diversity"quasiidentifying": will be transformed using hierarchies"identifying"": will be removed from the datasethierarchy_type : type of hierarchy to apply to attribute for anonymization, can be:"interval": can be used for variables with a ratio scale, intervals are defined using attribute quantiles"date": can be used for dates"redaction":  can be used for a broad spectrum of attributes, masking parts of variables"order": NOT IMPLEMENTED can be used for variables with an ordinal scale, defining ordered group of variablesURL_linkto ARXaaS service : if ARXaas service is running locally URL is : "http://localhost:8080"ExampleYou can test this module using the example.py script
Package: arkhn-monitoring
Python packageYou can install this package withpip install arkhn-monitoring.Metricsfrom arkhn_monitoring import Counter, Timer

@Timer(<args and kwargs for prometheus client Histogram>)
def func_to_time():
    ...

@Counter(<args and kwargs for prometheus client Counter>)
def func_to_count():
    ...Loggingfrom arkhn_monitoring import create_logger

logger = create_logger(
    "service",
    fluentd_host="fluentd",
    fluentd_port=24224,
    level="DEBUG",
    extra_fields=["resource_ids"]
)

logger.debug("log")
Package: arkhos
The Arkhos Python ClientArkhosis a Python framework for quickly deploying tiny Python apps.# main.pydefarkhos_handler(event):returnarkhos.json({"greeting":f"Hello{event.GET.get("name")}!"})$gitaddmain.py
$gitpusharkhos
$curl"https://my-first-app.arkhosapp.com?name=Wally"{"greeting":"Hello Wally!"}
Package: arkid-client
该 SDK 为 ArkID APIs 提供了便捷的 Pythonic 接口 。基本用法安装pip install arkid-client基本使用您可以从 arkid_client 导入 ArkID 客户端。例如：fromarkid_client.authimportConfidentialAppAuthClientfromarkid_client.clientimportArkIDClient# 设置 ArkID 服务根地址url='https://arkid.longguikeji.com/'# 初始化 ArkID 认证客户端caac=ConfidentialAppAuthClient(base_url=url)# 初始化 ArkID 服务客户端ac=ArkIDClient(authorizer=caac.get_authorizer('admin','admin'),base_url=url)# 查询用户列表users=ac.query_user()链接完整文档：源代码：https://github.com/longguikeji/arkid-core.gitAPI文档：https://arkid.docs.apiary.io/
Package: arkindex-base-worker
Arkindex base WorkerAn easy to use Python 3 high level API client, to build ML tasks.This is an open-source project, licensed usingthe MIT license.DocumentationThedocumentationis made withMaterial for MkDocsand is hosted byGitLab Pages.Create a new worker using our templatepip install --user cookiecutter
cookiecutter git@gitlab.teklia.com:workers/base-worker.git
Package: arkindex-cli
Arkindex CLIDocumentation for users is available in thedocsfolder, and online ascli.arkindex.org.Dev setupRequirements:Python 3.7+mkvirtualenv clipip install -e .arkindex -hUnit testsTox is used on this project to run all unit tests:pip install toxtoxLintingWe usepre-committo check the Python source code syntax of this project.To avoid superfluous commits, always run pre-commit before committing.To do that, run once :pip install pre-commit
pre-commit installThe linting workflow will now run on modified files before committing, and may fix issues for you.If you want to run the full workflow on all the files:pre-commit run -a.DocumentationPlease keep the documentation updated when modifying or adding commands.It's pretty easy to do:pip install mkdocs
mkdocs serveYou can then write in Markdown in the relevantdocs/*.mdfiles, and see live output onhttp://localhost:8000
Package: arkio
ark创建arkcreaterun.arkio.demoWSGI启动arkserve--wsgi
or
gunicorndemo.app:app--reload测试curl"http://127.0.0.1:8000/"压测ab-n10000-c100-t10"http://127.0.0.1:8000/"GRPC启动arkserve测试grpcurl-plaintext127.0.0.1:50051list

grpcurl-plaintext-d'{"name": "ark"}'127.0.0.1:50051helloworld.Greeter/SayHello
grpcurl-plaintext-d'{"name": "redis"}'127.0.0.1:50051helloworld.Greeter/SayHello
grpcurl-plaintext-d'{"name": "kafka"}'127.0.0.1:50051helloworld.Greeter/SayHello
grpcurl-plaintext-d'{"name": "rabbit"}'127.0.0.1:50051helloworld.Greeter/SayHello

grpcurl-plaintext-d'{"name": "ark"}'127.0.0.1:50051helloworld.Greeter/SayHelloAsync
grpcurl-plaintext-d'{"name": "rpc"}'127.0.0.1:50051helloworld.Greeter/SayHelloAsync压测# ecs.c6.large 2vCPU/4GiBghz--insecure--async\--callhelloworld.Greeter/SayHello\-c1000-n20000--rps5000\-d'{"name":"ark"}'172.26.1.198:50051运行模式ark serve --wsgiark serveark workerark consumerark shellark runark testark lint基础设施redisdockerrun-d--hostnameredis--nameredis-p6379:6379redisrabbitmqdockerrun-d--hostnamerabbit--namerabbit-p5672:5672-p15672:15672rabbitmq:3-management[后台]http://127.0.0.1:15672kafkaexportKAFKA_ADVERTISED_HOST_NAME=172.26.1.199

dockerrm-fkafka
dockerrm-fzookeeper
dockerrun-d--namezookeeper-p2181:2181-twurstmeister/zookeeper
dockerrun-d--namekafka-p9092:9092--linkzookeeper-eKAFKA_ZOOKEEPER_CONNECT=zookeeper:2181-eKAFKA_ADVERTISED_HOST_NAME=$KAFKA_ADVERTISED_HOST_NAME-eKAFKA_ADVERTISED_PORT=9092wurstmeister/kafka:2.12-2.4.0

dockerexec-itkafkabash
kafka-topics.sh--zookeeperzookeeper:2181--list
kafka-topics.sh--zookeeperzookeeper:2181--delete--topictopic01
kafka-topics.sh--zookeeperzookeeper:2181--create--topictopic01--replication-factor1--partitions5elasticsearchdockerrun--nameelasticsearch-p9200:9200-p9300:9300-e"discovery.type=single-node"-delasticsearch:7.2.0

curlhttp://localhost:9200elasticsearch-kibanadockerrun--namekibana--link=elasticsearch:test-p5601:5601-dkibana:7.2.0[后台]http://127.0.0.1:15672必备工具grpcurl# macbrewinstallgrpcurl# linuxhttps://github.com/fullstorydev/grpcurl/releases/download/v1.8.6/grpcurl_1.8.6_linux_x86_64.tar.gz[文档]https://github.com/fullstorydev/grpcurlghz# macbrewinstallghz# linuxwgethttps://github.com/bojand/ghz/releases/download/v0.108.0/ghz-linux-x86_64.tar.gz[文档]https://ghz.sh/docs/usageprotobuf# macbrewinstallprotobuf# linuxPROTOC_ZIP=protoc-3.14.0-osx-x86_64.zip
curl-OLhttps://github.com/protocolbuffers/protobuf/releases/download/v3.14.0/$PROTOC_ZIPsudounzip-o$PROTOC_ZIP-d/usr/localbin/protoc
sudounzip-o$PROTOC_ZIP-d/usr/local'include/*'rm-f$PROTOC_ZIP[文档]http://google.github.io/proto-lens/installing-protoc.html
Package: arkitekt
arkitektstreaming analysis for mikroscopyIdeaarkitekt is the python client for the arkitekt platform. It allows you to utilize the full extent of the platform from your python code.
To understand the idea behind arkitekt, you need to understand the idea behind the arkitekt platform.
(More on this in thedocumentation)FeaturesHost your python functions and make them to your teamUse functions from your team in your codeInteract with and store data in a secure and scalable way on the platformUse the platform as a central storage for your dataInstallpipinstallarkitekt[all]This installs all dependencies for the arkitekt platform, inlcuding the arkitekt CLI, which can be used to develop and create apps, containerize them and deploy tarkitekt is relying heavily on asyncio patters and therfore supports python 3.8 and above. It also relies on the pydantic stack for serialization.AppYou can use the cli to create python based apps for the arkitekt platform, profiting from a battery of features like easy GUI creation based on
type annotations, orchestration of real-time (in memoery) workflows, data hosting,  easy packaging and distribution in docker containers, etc...To get started create a directory and runarkitektinitWhich will lead you throught an app creation process.
Apps can simply registered functions, through the register decoratorfromarkitektimportregister@register()defrpc_function(x:int,name:str)->str"""A rpc function that we cansimple call from anywhere""And then connected to a local or remote server by runningRun example:arkitektrundevFor more details on how to create an app follow the tutorials onhttps://arkitekt.live.Usage with complex DatastructuresArkitekt takes care of serialization and documentation of standard python datastructuresstrboolintfloatEnumDictListTo increase performance and reduce latency it is not possible to serialize complex python objects like numpy arrays into the messages. These are best transformed into immutable objects on a centrally accessible storage and then only the reference is passed.Arkitekt does not impose any rules on how you handle this storage (see mikro for ideas), it provides however a simple api.classComplexStructure:id:str# A reference for this structure on central storageasyncdefshrink(self):returnself.id@classmethodasyncdefexpand(cls,value):returncls.load_from_server(value)by providing two functions:shrinkexpandYou can now use this Structure with simple typehints and arkitekt will automaticall shrink (serialize) and expand (deserialize) the structure on calling.defcomplex_call(x:ComplexStrucuture)->int:returnx.max()Check out the arkitektdocumentationfor usage of this libary
Package: arkitema-config
Arkitema FastAPI ConfigurationConfigurations for Arkitema FastAPI appsGetting StartedInstall the following in your virtual environment:Python 3.11Poetrypre-commitSetup local Python environmentpoetryinstall
pre-commitinstallRun testspytesttests/PublishingWhen a new version is ready to be published, remember to update the version by running the following command:poetryversionminorotherwise the pipeline will fail to publish the package.
Publishing happens automatically on merges tomainin an GitHub Action.LicenseUnless otherwise described, the code in this repository is licensed under the Apache-2.0 License. Please note that some
modules, extensions or code herein might be otherwise licensed. This is indicated either in the root of the containing
folder under a different license file, or in the respective file's header.If you have any questions, don't hesitate to get in touch with us via email.
Package: arkive
ArkiveManage your music/audio collections.1. InstallationA package with the same name is available inpypi$ pip install --user arkiveThis package has been tested mainly on Windows 10 and Linux (Fedora 35), but it should work on all platforms since it
only makes use of cross-platform libraries. You may need to use "pip3", "python3 -m pip" or "python -m" when running on
other platforms, or different Python setups.You can also use pipx to only make use of the cli app.$ pipx install arkive2. General usage$ arkive -h
usage: arkive [-h] [-V] <command> ...

optional arguments:
  -h, --help     show this help message and exit
  -V, --version  show program's version number and exit

commands:
  <command>
    show         display actions collection inside a given folder.
    flat         flatten actions files inside a given folder.
    nest         nesting actions files inside a given folder.As explained above, you can use one of 3 commands: show, flat and nest, and finally a positional argument indicating a
folder path.showIt will traverse the folders inside the given path and display a table of all the existing (with compatible audio
formats) files, showing artist, album and title.$ arkive show ~/MusicflatThe application will traverse all the subfolders and move the music files up to the given folder while changing their
name. The new name given to each file will be a concatenation of its artist, album and title.e.g..../folder/subfolder/myfile.mp3 -> .../folder/artist - album - title.mp3Note:the new name will be sanitized to make sure the result is a valid filename.$ arkive flat ~/MusicnestThe application will traverse all the subfolders and move the music files up to the given folder while renaming name
organizing them in new subfolders. The names given to each file and folder structures will result from taking the artist
and album names for the folders, and track title for its name.e.g..../folder/subfolder/myfile.mp3 -> .../folder/artist/album/title.mp3Note:the new names for each file and folder will be sanitized to make sure the result is a valid file/directory.$ arkive nest ~/MusicDestination folderAn optional argument "-o/-output" may be used to change the destination directory for the audio files.3. Web storage support (Experimental)Additionally, arkive includes support for web storage with the same commands shown above. As of now, only pcloud service
is supported but other may be included in the future. To use a command with your pcloud account, pass the "--cloud" flag
followed by the name if the services (e.g. pcloud), and then your user credentials.$ arkive show "/My Music" --cloud pcloud --username <USERNAME> --password <PASSWORD>4. Side-effectsThis implementation includes a "cleanup" procedure which removes empty sub-folders from the origin directory. This is a
personal decision due to its convenience, but it may be changed in the near future to remove them only under explicit
indication.