Saravanan666/pypi-org huggingface dataset:
Package: rest_signature
Polls is a simple Django app to conduct Web-based polls. For each
question, visitors can choose between a fixed number of answers.Detailed documentation is in the “docs” directory.Quick startAdd “polls” to your INSTALLED_APPS setting like this:INSTALLED_APPS = (
    ...
    'polls',
)Include the polls URLconf in your project urls.py like this:url(r'^polls/', include('polls.urls')),Runpython manage.py migrateto create the polls models.Start the development server and visithttp://127.0.0.1:8000/admin/to create a poll (you’ll need the Admin app enabled).Visithttp://127.0.0.1:8000/polls/to participate in the poll.
Package: rest-swagger
.. role:: python(code)
:language: pythonRest-SwaggerAn API documentation generator for Swagger UI and Django REST FrameworkInstallationpip install rest-swaggerAddrest_swaggerto yourINSTALLED_APPSsetting:INSTALLED_APPS=(...'rest_swagger',)Rendering Swagger Specification and DocumentationThis package ships with two renderer classes:OpenAPIRenderergenerates the OpenAPI (fka Swagger) JSON schema specification. This renderer will be presented if:Content-Type: application/openapi+jsonis specified in the headers.?format=openapiis passed as query paramSwaggerUIRenderergenerates the Swagger UI and requires theOpenAPIRendererQuick Start Example:fromdjango.conf.urlsimporturlfromrest_swagger.viewsimportget_swagger_viewschema_view=get_swagger_view(title='Pastebin API')urlpatterns=[url(r'^$',schema_view)]RequirementsDjango >=2.2Django REST framework >=3.5Python >=3.7Bugs & ContributionsPlease report bugs by opening an issueContributions are welcome and are encouraged!
Package: resttest3
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[![CodeFactor](https://www.codefactor.io/repository/github/crazi-coder/resttest3/badge)](https://www.codefactor.io/repository/github/crazi-coder/resttest3/)Please read [documentation](https://crazicoder.com/). We are doing active development for python3 and removed python2 supportThis project is a fork of [pyresttest](https://github.com/svanoort/pyresttest)
Package: restutil
Rest toolA curated list of awesome things related to microservices and computer vision.This module contains interesting features for endpoint creation. It also includes some decorators.DetailsDecorest - class decorator that allows implementing a general try_log function in the entire function, but it is necessary to use the ResData data modelInstallationUse the package manager pip to install restutil.pipinstallrestutilUsagefromrestutil.decoratorsimportDecorest# create deco objectdeco=Decorest()# wrap foo function@deco.try_logdeffoo():returnNoneAuthorAdonis Gonzalez Godoy -LinkedIn-E-mail
Package: rest-vlc
rest-vlcA REST API wrapper for VLC.InstallationClone the repository:gitclonehttps://github.com/timelessnesses/rest-vlc.gitcdrest-vlc
pipinstall.# ORpipinstallgit+https://github.com/timelessnesses/rest-vlc.gitor use the production release:pipinstallrest-vlcDocumentationIntellisense should self-explainatory about it, or you can go to thehttps://rest-vlc.readthedocs.io/en/latest/documentation.Examples are in tests/ and examples/FeaturesAsynchronous/Blocking APIAuthenicationURL encoding automaticallyReturns dictionary instead of XMLStatusStable
Package: rest-wrapper
Rest WrapperSimple, extendable base rest client for python. I've rewritten this pattern time after time, figured I would just package it and install when necessary.GitHub repo:https://github.com/nat5142/rest-wrapper.gitDocumentation:https://rest-wrapper.readthedocs.ioFree software: MITFeaturesRest Wrapper provides a simple exposure of therequestsmodule. Just provide abase_urlto target and go from there:fromrest_wrapperimportRestClientclient=RestClient('https://example.com/')# make a GET request. just provide an endpoint to append it to your base_urlresp=client.get('users/1/info')# POST requestresp=client.post('users',json={'name':'nick','username':'nat5142'})# kwargs are passed directly to the request itself# don't append, just request any full URL:resp=client.get('https://www.google.com/search?q=cats',append_url=False)Or, use the client to make constructing your own API Wrappers easier:importosfromrest_wrapperimportRestClientclassSomeApiWrapper(RestClient):base_url='https://some-api.com/'defauthenticate(self):# authenticate method is invoked at the end of the object intialization.self.session.headers.update({'X-Api-Key':os.environ['API_KEY']})client=SomeApiWrapper()resp=client.get('/api/v1/users')# will request https://some-api.com/api/v1/usersCreditsThis package was created withCookiecutterand thefedejaure/cookiecutter-modern-pypackageproject template.
Package: restx-monkey
Restx-MonkeyMonkey patches for unmaintainedflask-restxpython package to keep
your installation of flask-restx compatible with the latestflaskandwerkzeug.Good NEWS everyone!Packageflask-restxis maintained now! I strongly suggest to submit issues on official projectissues page.InstallationTo install restx_monkey, usepip:python-mpipinstall-Urestx-monkeyUsageBefore importingflask-restxapply all patches in your main module:# app main fileimportrestx_monkeyasmonkeymonkey.patch_restx()# after patch import other modulesimportflask_restx# your other codeor select which patches you do not want to apply# app main fileimportrestx_monkeyasmonkeymonkey.patch_restx(fix_restx_api=False)# after patch import other modulesimportflask_restx# your other codeWhat is patched?Here is list of patches applied toflask-restxpackage by this monkey:replace_parse_rule- injectsparse_rulemethod into werkzeug becauseflask-restxis using this internal methodfix_restx_api- fix deprecatedflask-restx.api.Apiinit ofdocendpoints after blueprint is boundfix_restx_parser- replace failingflask_restx.reqparse.Argumentclass with child whom can correctly handlejsonlocation of argument inflask.Requesteven in HTTPGETcallbackupdate_swagger_ui- replace content offlask_restx.staticdirectory with the later swagger UI then restx < 1.0fix_endpoint_from_view- fixflask.scaffoldmissing_endpoint_from_view_funcinject_versions- puts back__version__toflaskandwerkzeugfor3.0+where the version was removedGoal of projectKeepflask-restxcompatible with the
latestflaskandwerkzeugas long as it is
reasonable simple to monkey patch it.What this project is notThis project does not solve incompatibilities of other python packages
usingflask-restx.TestsYou can run tests with coverage tracing:python-mcoveragerun-munittesttests/test_*-vTo generate coverage report:python-mcoveragehtmlBuildClone repo and set up your pypi repo account credentials on build for build environment.Move to package repo:cd~/git/restx_monkeyInstall requirements:python-mpipinstall-Urrequirements.txtClean old build fragments:rm-rf./dist./build./src/restx_monkey.egg-infoBuild new package:python-mbuildUpload new package:python-mtwineuploaddist/*
Package: restxsl
restxsl transformsreStructuredTextfiles into XML files using XSL
stylesheets.  Most users will output XHTML files, but any form of XML
file can be created.Every aspect of the generated content and layout can be controlled.  A
sample XSL stylesheet is provided to get you going, but you can easily
create stylesheets to match any type of site design.As an added bonus, restxsl can applySmartyPants-styleprocessing to
your reStructuredText files.  Quotes, dashes, and ellipses are all
educated automatically as part of the restxsl processing pipeline.  This
behavior is controlled by a parameter to restxsl and can be enabled and
disabled as desired.
Package: resty-client
RestyClientRestyClient is a simple, easy-to-use Python library for interacting with REST APIs using Pydantic's powerful data
validation and deserialization tools. This library provides an intuitive API that makes it easy to make HTTP requests
and handle data on the client side.FeaturesMiddleware system, which allows you to implement any pagination, filtering or authentication.InstallationUsing pip:pipinstallresty-clientUsing Poetry:poetryaddresty-clientGetting-StartedSchemafrompydanticimportBaseModelclassProduct(BaseModel):id:int|None=Nonename:strdescription:strcode:strSerializerfromresty.serializersimportSerializerclassProductSerializer(Serializer):schema=ProductManagerfromresty.enumsimport(Endpoint,Field)fromresty.managersimportManagerclassProductManager(Manager):serializer=ProductSerializerendpoints={Endpoint.CREATE:'/products/',Endpoint.READ:'/products/',Endpoint.READ_ONE:'/products/{pk}/',Endpoint.UPDATE:'/products/{pk}/',Endpoint.DELETE:'/products/{pk}/',}fields={Field.PRIMARY:'id',}CRUDfromhttpximportAsyncClientfromresty.clients.httpximportRESTClientasyncdefmain():xclient=AsyncClient(base_url='http://localhost:8000/')rest_client=RESTClient(xclient=xclient)product=Product(name='First prod',description='My Desc',code='123W31Q')# Createcreated=awaitProductManager.create(rest_client,product)# Readmy_product=awaitProductManager.read_one(rest_client,created.id)forprodinawaitProductManager.read(rest_client):print(prod.name)# Updatemy_product.description='QWERTY'awaitProductManager.update(rest_client,my_product)# DeleteawaitProductManager.delete(rest_client,my_product.id)Status0.0.1- INDEVLicenceRestyClient is released under the MIT License. See the bundledLICENSEfile for details.
Package: restypy
RestypyPythonic REST clientThe code interacting with the remote API reads just like standard Python!Restypy uses the awesome ‘requests’ library under the hoodNOTESince REST APIs may contain URLs that may be invalid method names in Python, you will have to use the path=’1nvalidpath’ workaround to build the path.
This approach is shown in the following example.ExamplesfromrestypyimportAPIgithub=API('https://api.github.com')# GET : https://api.github.com/users/simula67/eventsresponse=github.users(path='simula67').events()# Response is a simple 'requests' responseprintresponse.json()# For HTTP methods other than GET, add a keyword argument 'method'. Rest of the arguments are passed to 'requests'httpbin=API('http://httpbin.org')printhttpbin.post(method='post',data={'test':'hi'}).text
Package: rest-zerocap-client
install orderpip install rest-zerocap-client -i  https://www.pypi.org/simple/demofrom rest_client.zerpcap_rest_client import ZerocapRestClient

api_key = ""

secret = ""

client = ZerocapRestClient(api_key, secret)

result = client.create_order(symbol, side, type, amount, price, client_order_id, note, third_identity_id)

result = client.fetch_order(id, note, third_identity_id)

result = client.fetch_orders(symbol, since, limit, note, third_identity_id)
Package: restzzz
‘restzzz’ is a tool that is meant to “listen in” on a 0mq connection.By providing a configuration file, one can specify REST endpoints that listen to a particular 0mq socket.get:
  zmq:
    connect: tcp://127.0.0.1:8002
    subject: "" # This is the default value, match all messages
  weechat:
    connect: tcp://127.0.0.1:8003
  quilt:
    connect: tcp://some-server:8003
    subject: message
post:
  zmq:
    connect: tcp://127.0.0.1:8002
    subject: "/sent/via/restzzz"This creates three endpoints:zmq, which can be retrieved from with a GET request and written to with a PUSH request, andweechatandquilt, which can only be read from.restzzz makes a few assumptions about the sockets it listens to, mainly that it can connect to them and that they follow the PUB/SUB mentality.
Package: resu
Resu[Resu]me your progress in anyPython loopby automatically creating checkpoints without changing your workflow.Requirementspython>=3.6InstallationpipinstallresuExamplesExample 1:importtimefromresuimportCheckpointdefprocess(x):time.sleep(1)returnx+1c=Checkpoint()c.insert(range(1000))c.record(process)#   0%|▏                                         | 24/1000 [00:05<16:40,  1.01s/it]# ^C KeyboardInterrupt (id: 2) has been caught...# Saving progress to checkpoint file `./1652598207.ckpt` before terminating the program gracefully...You can resume the same loop by calling thep.resumemethod and passing the checkpoint file path to it before running the program again:# ...c.resume('1652598207.ckpt')c.record(process)# Resuming from `1652598207.ckpt`... Skipped 24 completed enteries.#   0%|                                          | 2/1000 [00:02<16:40,  1.00s/it]Example 2:importtimeimportrequestsfromresuimportCheckpointdefprocess(x,url,cooldown):headers={'Accept':'application/json','Content-Type':'application/json'}resp=requests.post(url,headers=headers,data=x)time.sleep(cooldown)returnresp.textc=Checkpoint(ckpt_file='/my/custom/ckpt/name.ckpt')c.insert('customers_data.json')results=c.record(process,url='https://reqbin.com/echo/post/json',cooldown=1,checkpoint_every=5)#   0%|          | 0/11 [00:00<?, ?it/s]#   8%|▊         | 1/11 [00:02<00:11,  1.10s/it]#  17%|█▏        | 2/11 [00:03<00:25,  1.10s/it]#  27%|██▋       | 3/11 [00:07<00:20,  1.10s/it]#  35%|███▍      | 4/11 [00:09<00:18,  1.10s/it]#  Saving progress to checkpoint file: `/my/custom/ckpt/name.ckpt`...#  38%|███▊      | 5/11 [00:11<00:17,  1.10s/it]#  52%|████▏     | 6/11 [00:12<00:16,  1.10s/it]#  69%|██████▉   | 7/11 [00:19<00:08,  1.10s/it]# ...Let's say your program failed for some reason, you can easily resume like described inExample 1.
Package: resubname
resubnameRename subtitle filenames to match videos.Install withpipxUsingpipxto installresubnameis recommended.pipxinstallresubnameExample>ls03.ass'[VCB-Studio] GIRLS und PANZER [03][Ma10p_1080p][x265_flac].mkv'05.5.ass'[VCB-Studio] GIRLS und PANZER [05.5][Ma10p_1080p][x265_flac].mkv'05.ass'[VCB-Studio] GIRLS und PANZER [05][Ma10p_1080p][x265_flac].mkv'>resubname*.ass*.mkv03.ass->[VCB-Studio]GIRLSundPANZER[03][Ma10p_1080p][x265_flac].ass05.5.ass->[VCB-Studio]GIRLSundPANZER[05.5][Ma10p_1080p][x265_flac].ass05.ass->[VCB-Studio]GIRLSundPANZER[05][Ma10p_1080p][x265_flac].ass
>ls'[VCB-Studio] GIRLS und PANZER [03][Ma10p_1080p][x265_flac].ass''[VCB-Studio] GIRLS und PANZER [03][Ma10p_1080p][x265_flac].mkv''[VCB-Studio] GIRLS und PANZER [05.5][Ma10p_1080p][x265_flac].ass''[VCB-Studio] GIRLS und PANZER [05.5][Ma10p_1080p][x265_flac].mkv''[VCB-Studio] GIRLS und PANZER [05][Ma10p_1080p][x265_flac].ass''[VCB-Studio] GIRLS und PANZER [05][Ma10p_1080p][x265_flac].mkv'And you can exclude certain files:>ls'[ANE] Soredemo Machi wa Mawatte Iru - EP01 [BD 1920x1080 H.264 FLAC].CASO-SC.ass''[ANE] Soredemo Machi wa Mawatte Iru - EP02 [BD 1920x1080 H.264 FLAC].CASO-SC.ass''[ANK-Raws] それでも町は廻っている (Ep_05 Creditless ED) (BDrip 1920x1080 HEVC-YUV420P10 FLAC).mkv''[ANK-Raws] それでも町は廻っている 01 (BDrip 1920x1080 HEVC-YUV420P10 FLAC).mkv''[ANK-Raws] それでも町は廻っている 02 (BDrip 1920x1080 HEVC-YUV420P10 FLAC).mkv'>resubname*.ass*.mkv-ecreditless--dryrun[ANE]SoredemoMachiwaMawatteIru-EP01[BD1920x1080H.264FLAC].CASO-SC.ass->[ANK-Raws]それでも町は廻っている01(BDrip1920x1080HEVC-YUV420P10FLAC).ass[ANE]SoredemoMachiwaMawatteIru-EP02[BD1920x1080H.264FLAC].CASO-SC.ass->[ANK-Raws]それでも町は廻っている02(BDrip1920x1080HEVC-YUV420P10FLAC).assHelpresubname -hChangelogv0.3.0Display videos & subtitles number when their number dismatch.Add support for more video formats.Add--versionsupport.v0.2.0Show videos and subtitiles file list when their number dismatch.Stop complain about "Unknown suffix" for folders. Will just ignore them.v0.1.0Initial Release
Package: result4utility
Result4Utility, easy to use, fast to implement, ready for productionThe module contains interesting features for APIs endpoint creation.
With some interesting decorators.Documentation:https://github.com/luigi-dv/result4utilitySource Code:https://github.com/luigi-dv/result4utilityInstallationpip install result4utilityExamplesResultA Structure for dynamics models to encapsulate values.When select an Error result type, the property HasErrors take true value.Use Case:fromresult4utility.resultimportResultfromresult4utility.resultimportResultOperationTypeasresultType# Initialize the Result Classresponse=Result()# Declare the modelmodel={'User':'john.doe','Name':'John','Surname':'Doe'}# Setting up the value of the response content with the modelresponse.content=model# Adding results to our created responseresponse.add_result(message='Successfully Request',result_type=resultType.SUCCESS)ReaderThis class provides a dictionary reader functionality using attributes.Use Case:fromresult4utility.dictionaryimportReader# Declare the dictionary to readdictionary_test={"primary_entry":"primary test data","secondary_entry":{"secondary_entry_1":"secondary test data 1","secondary_entry_2":{"secondary_entry_2_1":"secondary test data 2.1",}}}# Setting up the Reader Objectdictionary=Reader(config_file=dictionary_test)# Read the valuestest_1=dictionary.primary_entry.get()test_2=dictionary.secondary_entry.secondary_entry_2.secondary_entry_2_1.get()# Print the valuesprint(test_1)print(test_2)ToolsTwo methods for dictionary operations.Convert from object to dictionary:fromresult4utility.toolsimportToolsclassTest(object):index:intname:strdef__init__(self,index_input:int,name_input:str):self.index=index_inputself.name=name_input# Define the object to testobject_test:object=Test(1,'John')# Initialize the Tool classtool=Tools()# Convert the Object to Dictionaryresult:dict=tool.dictionary_from_object(model=object_test)# Outputprint({'index':1,'name':'John'})As you can see we are doing the object conversion over a new initialized object.
Operations will not take actions over your main Objects.Remove properties of dictionary:fromresult4utility.toolsimportToolsclassTest(object):index:intname2:strdef__init__(self,index_input:int,name_input:str):self.index=index_inputself.name=name_input# Initialize the Tool classtool=Tools()# Create new Test Class Objectobject_test:object=Test(1,'John')# Convert the Object to Dictionarydictionary_test:dict=tool.dictionary_from_object(model=Test)# Remove the dictionary propertyresult:dict=tool.remove_property(target=dictionary_test,props=['index'])# Outputprint({'name':'John'})
Package: resulting
ResultingBring the rust Result and Option type into python.pipinstallresultingResultfromresultingimportResult,Ok,Errdefget_user_id()->Result[int,str]:returnOk(123)matchget_user():caseOk(user_id):print(f"User ID:{user_id}")caseErr(msg):print(f"Failed to get user:{msg}")TracebacksWhen unwrapping a Result or Option, a traceback will be inserted up to the place the `Err`` was createdThis allows you to have the powerful debugging of Exceptions with guarentees of results# example.pyfromresultingimportErrdefcreate_err()->Err[str]:returnErr("Throw Me!")res=create_err()res.unwrap()Traceback (most recent call last):
  File "/example.py", line 7, in <module>
    res.unwrap()
  File "/example.py", line 6, in <module>
    res = create_err()
  File "/example.py", line 4, in create_err
    return Err("Throw Me!")
RuntimeError: Unwrapped Err(Throw Me!)OptionfromresultingimportOption,Some,nonedefget_user_id()->Option[int]:returnSome(123)matchget_user():caseSome(user_id):print(f"User ID:{user_id}")casenone():print(f"User does not exist")Catch ErrorsYou can use thesafedecorator to catch exceptionsfromresultingimportsafe@catch()defget_user()->str:raiseKeyError("User Not Found")res:Result[str,Exception]=get_user()or catch specific exceptions usingcatchfromresultingimportcatch@catch([KeyError,LookupError])defget_user()->str:raiseKeyError("User Not Found")res:Result[str,KeyError|LookupError]=get_user()Optionalfromresultingimportoptional@optionaldefget_user()->str|None:return"1"res:Option[str]=get_user()
Package: resultr
resultrMakes UCL PHAS results betternoteit's very possible that I made mistakes so take what this gives with a bucketload of salt.UCL Physics and Astronomy publishes the results for every year as a pdf with this format:Candidate NumberDevcomModule1MarkModule2MarkModule3MarkModule4MarkModule5MarkModule6MarkModule7MarkModule8MarkProvisional outcomeABCD0100PHAS000099PHAS000198PHAS000297PHAS000396PHAS000495PHAS000594PHAS000693PHAS000792PABCD124PHAS000393PHAS000155PHAS000443PHAS000740PHAS000234PHAS000625PHAS000515PHAS00003>>resultr lets you:get your weighted average for a yearget your rank in your yearplot a histogram of the results for a module in the bins: (0,40), (40,50), (50, 60), (60, 70), (80, 90), (90, 100)re-format the results by module (as below) and output to csvoutput format:DevcomPHAS0000PHAS0001PHAS0002PHAS0003PHAS0004PHAS0005PHAS0006PHAS0007Averages100999897969594939295.52435534934315254039Installation$pipinstallresultrUsage exampleRequires:Python 3pandasandmatplotlibfor plottingpython-inquirerfor the user inputMaking the PDF usableYou're going to need to convert the .pdf given by UCL into a csv, delimited with ','. To do this I usedsmallpdf's PDF to Excel converter (this makes an xlsx with a sheet for every page of the page of the pdf). Then I usedGoogle Docsto export each sheet as a csv, and combined them in a texteditor (note though that you should remove the heading lines (cand, devcom, module1, etc) from all pages apart from the first)Running resultrYou can run interact with resultr usinginquirerprompts:Or equivalently by passing arguments when you run resultr:$resultr-husage:resultr[-h][--inputINPUT][--formatFORMAT][--plot][--exportplotsEXPORTPLOTS][--showplots][--my][--yearYEAR][--rank][--candidateCANDIDATE]MakesUCLPHASresultsbetteroptionalarguments:-h,--helpshowthishelpmessageandexit--input,-iINPUTcsvfiletoimport--format,-fFORMATreformatsresultsbymoduleandexportsittofilespecified--plot,-pplotthemoduleresults--exportplots,-epEXPORTPLOTSexportallplotsto/path/you/want/--showplots,-spshowallplots--my,-mreturnsyourweightedaveragefortheyear--year,-yYEARspecifyyouryear--rank,-rreturnsyourrankintheyear--candidate,-cCANDIDATEspecifyyourcandidatenumberRelease History0.1.10Changed 'Cand' to 'CAND' in length0.1.9passargs.exportplotsandargs.showplotstoresultr_plot.howPlotArgs0.1.8changed entry_point to usemain.py0.1.7added entry_point to setup.py (resultr)0.1.6split intoresultr_formatandresultr_plot0.1.5changedmatplotlibto run withAgg0.1.4addedmatplotlibrequirement in setup.py0.1.3addedinquirerrequirement in setup.py0.1.2added pip0.1.1Moved prompt and cli code from'__main__'tomain()Changed name toresultrcause cool0.1.0The first proper releaseMetaHayk Khachatryan –hi@hayk.ioDistributed under the MIT license. SeeLICENSEfor more information.https://github.com/haykkhContributingFork it (https://github.com/haykkh/resultr/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 Request
Package: result-reporter
Result Reporter ClientThis client will report results of a function execution to an endpoint. This
can be especially useful for determining how many students in a class are
successfully completing an exercise.Usageimport rr

# Define endpoint to send results to.
rr.set_global_endpoint('https://result-reporter.com/ingest')
# User-Assignment identification token. This is provided by Result-Reporter.com
rr.set_global_token('f0c3f-1234-abcd-1234-740e2cf8daf8')


def fibonacci(n: int) -> int:
    # Left for your students to implement.
    pass


# Tests provided for your students.
with rr.Wrap(fibonacci) as f:
    assert f(0) == 0
    assert f(1) == 1
    assert f(2) == 1
    assert f(3) == 2
    assert f(4) == 3
    assert f(5) == 5
    assert f(6) == 8Results will then be available for visualization via the result server.Installation$ pip install result-reporter