Saravanan666/pypi-org huggingface dataset:
Package: taobao-sdk-top
python sdk 目前还处于起步阶段，希望大家一起来完善它Version 1.1设计背景：本SDK参考了facebook和twitter的pythonSDK的组织结构，同时结合top的SDK自动生成的机制，系统生成。使用方法：拷贝依赖包top到你的工程下，同时引入到PYTHONPATH中，具体怎么搞，就看你自己的系统啦。
总之一句话，让执行器可以找到top这个依赖包就OK拉。调用方式，请参考
test.py注意事项：SDK在设计的时候，每次请求都让传入appkey和secret，但是一定不要把appkey和secret写的满项目都是，这还蛮坑爹的。
请大家像爱护自己密码一样爱护secret希望大家一起来完善它。TKS。
Package: taobao-tmc-py
taobao-tmc-python-----------------淘宝平台消息服务python版本usage:+++++++++++++++++++++++++++++from tornado import ioloopfrom taobaotmcpy import TmcClientlogging.basicConfig(level=logging.DEBUG)ws = TmcClient('ws://mc.api.tbsandbox.com/', 'appkey', 'appsecret', 'default',query_message_interval=50)def print1():print 'on_open'ws.on("on_open", print1)try:ioloop.IOLoop.instance().start()except KeyboardInterrupt:passfinally:ws.close()+++++++++++++++++++++++++++++
Package: taosdevopsutils
taos-devops-utilsUtility Functions for the Taos Devops teamDevelopmentgit clonepipenv3write testcode???profitSlack FunctionsThere are currently 2 clients for slack both located in the slack module.Bot: To be used for Bot interactionsClient: To send messages to webhook or direct to channel or user.Slack Api's Consumed:RTM (real time messaging) API - For Bot Interaction: logs in as bot user
to message users or channelsChat Api - For non webhook channel or user direct messages.
Package: taospy
TDengine Connector for PythonGithub WorkflowPyPI VersionPyPI DownloadsCodeCovTDengineconnector for Python enables python programs to access TDengine, using
an API which is compliant with the Python DB API 2.0 (PEP-249). It contains two modules:Thetaosmodule. It uses TDengine C client library for client server communications.Thetaosrestmodule. It wraps TDengine RESTful API to Python DB API 2.0 (PEP-249). With this module, you do not need to install the TDengine C client library.Install taospyYou can usepipto install the connector from PyPI:pipinstalltaospyOr with git url:pipinstallgit+https://github.com/taosdata/taos-connector-python.gitNote: taospy v2.7.2 requirs Python 3.6+. The early versions of taospy from v2.5.0 to v2.7.1 require Python 3.7+.Install taos-ws-pyInstall with taospypipinstalltaospy[ws]Install taos-ws-py onlypipinstalltaos-ws-pyNote: The taosws module is provided by taos-ws-py package separately from v2.7.2. It is part of early version of taospy.
taos-ws-py requires Python 3.7+.DocsReferenceLimitationtaosrestis designed to use with taosAdapter. If your TDengine version is older than v2.4.0.0, taosAdapter may not
be available.LicenseWe use MIT license for Python connector.
Package: tap2junit
A utility that convertsTAP version 12 and 13toJUnit. That's it.Upstream is currently unmaintained athttps://bitbucket.org/fedoraqa/pytap13/src/develop/The syntax expected is currently pretty custom-tailored for use athttps://ci.nodejs.orgImprovements are welcome.To install fromhttps://pypi.org/project/tap2junit(recommended):pip install tap2junitorpipx install tap2junitTo install directly from this repo (not recommended):pipx install --force git+https://github.com/nodejs/tap2junit.gitTo run:tap2junit -i file.tap -o file.xmltap2junit --helpusage: tap2junit [-h] --input INPUT --output OUTPUT [--compact] [--name NAME] [--package PACKAGE]

optional arguments:
  -h, --help            show this help message and exit
  --input INPUT, -i INPUT
                        path to tap13 file
  --output OUTPUT, -o OUTPUT
                        output file name
  --compact, -c         do not prettify the xml output
  --name NAME, -n NAME  override test suite name
  --package PACKAGE, -p PACKAGE
                        set package for test suiteSuggested code hygiene:$ ruff --show-fixes --show-source .
$ black .
Package: tap2shex
Generate ShEx from DCTAP/JSON input.Installation$gitclonehttps://github.com/tombaker/tap2shex.git$cdtap2shextap2shex$python-mvenv.venvtap2shex$source.venv/bin/activatetap2shex$python3-mpipinstallflitPygmentstap2shex$flitinstall-s
Package: tapa
TAPATAPA is a dataflow HLS framework that features fast compilation, expressive programming model and generates high-frequency FPGA accelerators.High-FrequencyTAPA explicitly decouples communication and computation for better QoR.TAPA integrates theAutoBridgefloorplanner to optimize the RTL generation process.TAPA achieves2×higher the frequency on average compared to Vivado.1SpeedTAPA compiles7×faster than Vitis HLS.2TAPA provides3×faster software simulation than Vitis HLS.2TAPA provides8×faster RTL simulation than Vitis.[in-progress] TAPA is integratingRapidStreamthat is up to10×faster than Vivado.3ExpressivenessTAPA extends the Vitis HLS syntax for richer expressiveness at the C++ level.TAPA provides dedicated APIs for arbitrary external memory access patterns.TAPA allows users to explicitly specify parallelism.In addition to static burst analysis, TAPA supports runtime burst detectuion by transparently merging small memory transactions into large bursts.HBM-Specific OptimizationsTAPA significantly reduce the area overhead of HBM interface IPs compared to Vitis HLS.TAPA includes an automated design space exploration tool to balance the resource pressure and the wire pressure for HBM FPGAs.TAPA automatically select the physical channel for each top-level argument of your accelerator.Successful CasesSerpens, DAC'22, achieves 270 MHz on the Xilinx Alveo U280 HBM board when using 24 HBM channels. The Vitis HLS baseline failed in routing.Sextans, FPGA'22, achieves 260 MHz on the Xilinx Alveo U250 board when using 4 DDR channels. The Vivado baseline achieves only 189 MHz.SPLAG, FPGA'22,
achieves up to a 4.9× speedup over state-of-the-art FPGA accelerators,
up to a 2.6× speedup over 32-thread CPU running at 4.4 GHz,
and up to a 0.9× speedup over an A100 GPU
(that has 4.1× power budget and 3.4× HBM bandwidth).AutoSA Systolic-Array Compiler,
FPGA'21:KNN, FPT'20, achieves 252 MHz on the Xilinx Alveo U280 board. The Vivado baseline achieves only 165 MHz.Getting StartedDocumentationInstallationHello WorldAPI ReferenceTAPA PublicationsYuze Chi, Licheng Guo, Jason Lau, Young-kyu Choi, Jie Wang, Jason Cong.Extending High-Level Synthesis for Task-Parallel Programs.
In FCCM, 2021.[PDF][Code][Slides][Video]Licheng Guo, Yuze Chi, Jie Wang, Jason Lau, Weikang Qiao, Ecenur Ustun, Zhiru Zhang, Jason Cong.AutoBridge: Coupling Coarse-Grained Floorplanning and Pipelining for High-Frequency HLS Design on Multi-Die FPGAs.
In FPGA, 2021. (Best Paper Award)[PDF][Code][Slides][Video]
Package: tap-adql-sandbox
TAP ADQL sandboxAboutDemonstrationInstallingFrom PyPIFrom sourcesRunningPlatformsKnown problemsApplication tries to connect to remote hosts on startup and sometimes crashesApplication crashes when query has too many columnsQueries might fail with UnicodeDecodeError3rd-partyDependenciesResourcesAboutA sandbox application for executing ADQL queries via TAP interface of various data sources, such as astronomical databases. Essentially, it's just a GUI forPyVO.More details inthis article.Demonstrationhttps://user-images.githubusercontent.com/6904927/154367260-db2dc02c-ee88-4fe2-b500-cae14d51bd08.mp4InstallingFrom PyPI$pipinstalltap-adql-sandboxFrom sources$cd/path/to/repository/
$pipinstall./or:$cd/path/to/repository/
$python-mbuild
$pipinstall./dist/tap_adql_sandbox-0.7.0-py3-none-any.whlRunning$tap-adql-sandbox--helpPlatformsTested on:Mac OS:11.6.4, Intel12.2.1, Apple siliconWindows:1011GNU/Linux:Ubuntu 20.04Known problemsApplication tries to connect to remote hosts on startup and sometimes crashesSometimes when you are just launching the application, so you didn't even have a chance to execute any queries, you might notice that it tries to reach various remote hosts on the internet, such asobspm.fr,ietf.orgor probably others.This is because of theAstropypackage, which is an indirect dependency through PyVO, which is a direct dependency of this project. Specifically, it's the hosts listed inthis file. Looks harmless enough, apparently just updating some astronomical data.Denying access to these hosts might lead to the application crash, because Astropy doesn't handle such situation properly:AttributeError: module 'IPython.utils.io' has no attribute 'stdout'If you get the application crashing even when access to those is allowed, try to update the Astropy (and probably also PyVO) package:$pipinstallastropy-UI had this problem with Astropy v4.2, and it was gone after updating to Astropy v5.1. Or perhaps the problem isn't really gone, but the new package version just came with updated data, so for now there is no need for updating.Application crashes when query has too many columnsIf your query/request has a lot of columns inSELECT, the results tablemight not havevisible contents, or the applicationmight just crash.Queries might fail with UnicodeDecodeErrorIf query results from a TAP service contain non-ASCII symbols, then PyVO will raisean exception. The application won't crash, but you won't get query results either.3rd-partyDependenciesPython 3.6 or later (the oldest tested is 3.7, though)Dear PyGui- application window and UI controlsPyVO- handling TAP ADQL requestsAstroquery- looking up IDs in Simbadpandas- processing results and saving to pickletabulate- printing results to stdout (with--debug)ResourcesJetBrains Monofontan iconof unknown origin
Package: tap-amazon-sp
tap-amazon-spThis is aSingertap that produces JSON-formatted data following theSinger spec.This tap:Pulls raw data fromAmazon SP APIExtracts the following resources:OrdersOutputs the schema for each resourceIncrementally pulls data based on the input stateInstallpip install tap-amazon-spUsageFollowSinger.io Best Practicesfor setting up separatetapandtargetvirtualenvs to avoid version conflicts.Create aconfig file~/config.json withAmazon Seller Partner API credentials. Multiple accounts across
different marketplaces are supported. Here isa list of marketplace names.{"accounts":[{"selling_partner_id":"NA_SELLING_PARTNER_ID","marketplaces":["US","MX","CA"],"refresh_token":"env[NA_REFRESH_TOKEN]"},{"selling_partner_id":"AU_SELLING_PARTNER_ID","marketplaces":["AU"],"refresh_token":"env[AU_REFRESH_TOKEN]"}],"access_key_id":"ACCESS_KEY_ID","secret_access_key":"env[SECRET_ACCESS_KEY]","sp_role_arn":"arn:aws:iam::1234567890:role/RoleName","lwa_client_id":"CLIENT_ID","lwa_client_secret":"env[LWA_CLIENT_SECRET]","start_date":"2021-01-01T00:00:00Z","rate_limit_backoff_seconds":60}Discover catalog:tap-amazon-sp -d > catalog.jsonSelectordersstream in the generatedcatalog.json....
"stream": "orders",
"metadata": [
  {
    "breadcrumb": [],
    "metadata": {
      "table-key-properties": [
        "AmazonOrderId"
      ],
      "forced-replication-method": "INCREMENTAL",
      "valid-replication-keys": [
        "LastUpdateDate"
      ],
      "inclusion": "available",
      "selected": true  <-- Somewhere in the huge catalog file, in stream metadata.
    }
  },
  ...
]
...Use following command to sync all orders with order items, buyer info and shipping address (when available).tap-amazon-sp-cconfig.json--catalogcatalog.json>output.txtCopyright © 2021 Vibe Inc
Package: tap-amazon-sqs
tap-amazon-sqstap-amazon-sqsis a Singer tap for amazon-sqs.Built with theMeltano Tap SDKfor Singer Taps.ConfigurationAccepted Config OptionsA full list of supported settings and capabilities for this
tap is available by running:tap-amazon-sqs--aboutConfigure using environment variablesThis Singer tap will automatically import any environment variables within the working directory's.envif the--config=ENVis provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the.envfile.Source Authentication and AuthorizationUsageYou can easily runtap-amazon-sqsby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-amazon-sqs--version
tap-amazon-sqs--help
tap-amazon-sqs--configCONFIG--discover>./catalog.jsonDeveloper ResourcesFollow these instructions to contribute to this project.Initialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetestssubfolder and
then run:poetryrunpytestYou can also test thetap-amazon-sqsCLI interface directly usingpoetry run:poetryruntap-amazon-sqs--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Next, install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-amazon-sqs
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-amazon-sqs--version# OR run a test `elt` pipeline:meltanoelttap-amazon-sqstarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-applehealth
tap-applehealthSinger tap for theexport.xmlfile from Apple Health. Built with theMeltano Tap SDKfor Singer Taps.Supported DataWorkoutRecordActivitySummaryInstallationInstall from PyPi:pipxinstalltap-applehealthCapabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningbatchSettingsSettingRequiredDefaultDescriptionfile_pathTrueNoneThe file path of the export.xml file. It can be a local file or as3://path.stream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.batch_configFalseNoneA full list of supported settings and capabilities is available by running:tap-applehealth --aboutConfigure using environment variablesThis Singer tap will automatically import any environment variables within the working directory's.envif the--config=ENVis provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the.envfile.Supported Python Versions3.83.93.103.11UsageYou can easily runtap-applehealthby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-applehealth--version
tap-applehealth--help
tap-applehealth--configCONFIG--discover>./catalog.jsonDeveloper ResourcesFollow these instructions to contribute to this project.Initialize your Development EnvironmentYou will needPoetryinstalled on your machine.# Install package dependenciespoetryinstallUse pre-commitpre-commitrun--all-filesCreate and Run TestsCreate tests within thetestssubfolder and then run:poetryrunpytestYou can also test thetap-applehealthCLI interface directly usingpoetry run:poetryruntap-applehealth--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-applehealth
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-applehealth--version# OR run a test `elt` pipeline:meltanoelttap-applehealthtarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-as-a-service
Tap-as-a-Service (TaaS) is an extension to the OpenStack network service (Neutron).
It provides remote port mirroring capability for tenant virtual networks.Port mirroring involves sending a copy of packets entering and/or leaving one
port to another port, which is usually different from the original destinations
of the packets being mirrored.This service has been primarily designed to help tenants (or the cloud administrator)
debug complex virtual networks and gain visibility into their VMs, by monitoring the
network traffic associated with them. TaaS honors tenant boundaries and its mirror
sessions are capable of spanning across multiple compute and network nodes. It serves
as an essential infrastructure component that can be utilized for supplying data to a
variety of network analytics and security applications (e.g. IDS).Free software: Apache licenseAPI Reference:https://opendev.org/openstack/tap-as-a-service/src/branch/master/API_REFERENCE.rstSource:https://opendev.org/openstack/tap-as-a-service/Bugs:https://bugs.launchpad.net/tap-as-a-serviceFor installing Tap-as-a-Service with Devstack please read the INSTALL.rst file
Package: tapas-project
A sample Python projectA sample project that exists as an aid to thePython Packaging User
Guide'sTutorial on Packaging and Distributing
Projects.This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.The source for this project is available here.Most of the configuration for a Python project is done in thesetup.pyfile,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.This is the README file for the project.The file should use UTF-8 encoding and can be written usingreStructuredTextormarkdownwith the appropriatekey set. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.
Package: tap-belvo
tap-belvoSinger tap for Belvo.Built with theMeltano Singer SDK.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningSettingsSettingRequiredDefaultDescriptionsecret_idTrueNoneBelvo API secret ID.passwordTrueNoneBelvo API password.start_dateFalseNoneEarliest datetime to get data frombase_urlFalsehttps://development.belvo.comBase URL for the Belvo APIstream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.A full list of supported settings and capabilities is available by running:tap-belvo --aboutSource Authentication and AuthorizationSeehttps://developers.belvo.com/reference/authentication-1.UsageYou can easily runtap-belvoby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-belvo--version
tap-belvo--help
tap-belvo--configCONFIG--discover>./catalog.jsonDeveloper ResourcesInitialize your Development EnvironmentpipxinstallhatchCreate and Run TestsRun integration tests:hatchruntests:integrationYou can also test thetap-belvoCLI interface directly:hatchrunsync:console----about--format=jsonTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Your project comes with a custommeltano.ymlproject file already created. Go ahead andinstall Meltanoif you haven't already.Install all pluginsmeltanoinstallCheck that the extractor is working properlymeltanoinvoketap-belvo--versionExecute an ELT pipelinemeltanoruntap-belvotarget-jsonl
Package: tap-betterstack
tap-betterstackSinger tap forBetter Stack. Built with theMeltano Singer SDK.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningbatchSettingsSettingRequiredDefaultDescriptiontokenTrueNoneAPI Token for Better Stackstart_dateFalseNoneEarliest datetime to get data fromstream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.batch_configFalseNoneA full list of supported settings and capabilities is available by running:tap-betterstack --aboutStreamsSupportedmonitorsmonitor_groupsheartbeatsheartbeat_groupson_callsescalation_policiesincidentsincident_eventsemail_integrationsincoming_webhooksstatus_pagesPlanned (PRs welcome!)status_page_sectionsstatus_page_resourcesstatus_page_reportsstatus_page_report_updatesUsageYou can easily runtap-betterstackby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-betterstack--version
tap-betterstack--help
tap-betterstack--configCONFIG--discover>./catalog.jsonDeveloper ResourcesDeveloper TODO:As a first step, scan the entire project for the text "TODO:" and complete any recommended steps, deleting the "TODO" references once completed.Initialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetestssubfolder and then run:poetryrunpytestYou can also test thetap-betterstackCLI interface directly usingpoetry run:poetryruntap-betterstack--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Your project comes with a custommeltano.ymlproject file already created. Open themeltano.ymland follow any"TODO"items listed in
the file.Next, install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-betterstack
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-betterstack--version# OR run a test `elt` pipeline:meltanoelttap-betterstacktarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-bitly
tap-bitlySinger tap forBitly. Built with theMeltano Singer SDK.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningSettingsSettingRequiredDefaultDescriptiontokenTrueNoneAPI Token for Bitlyinclude_paid_streamsFalseFalseWhether to sync paid streamsstart_dateFalseNoneEarliest datetime to get data fromstream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.Supported StreamsStream NameEndpointNotesgroups/v4/groupsbitlinks/v4/groups/{group_guid}/bitlinksbsds/v4/bsdscampaigns/v4/campaignschannels/v4/channelsorganizations/v4/organizationswebhooks/v4/organizations/{organization_guid}/webhooksRequires paid accountdaily_bitlink_clicks/v4/bitlinks/{bitlink}/clicksmonthly_bitlink_clicks/v4/bitlinks/{bitlink}/clicksA full list of supported settings and capabilities is available by running:tap-bitly --aboutSource Authentication and AuthorizationGenerate an access token from theBitly API Console.UsageYou can easily runtap-bitlyby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-bitly--version
tap-bitly--help
tap-bitly--configCONFIG--discover>./catalog.jsonDeveloper ResourcesInitialize your Development EnvironmentpipxinstallhatchCreate and Run TestsRun integration tests:hatchruntests:integrationYou can also test thetap-bitlyCLI interface directly:hatchrunsync:console----about--format=jsonTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Your project comes with a custommeltano.ymlproject file already created. Go ahead andinstall Meltanoif you haven't already.Install all pluginsmeltanoinstallCheck that the extractor is working properlymeltanoinvoketap-bitly--versionExecute an ELT pipelinemeltanoruntap-bitlytarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.