Saravanan666/pypi-org huggingface dataset:
Package: google-cloud-policytroubleshooter-iam
Policy Troubleshooter API:Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Policy Troubleshooter API.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-policytroubleshooter-iamWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-policytroubleshooter-iamNext StepsRead theClient Library Documentationfor Policy Troubleshooter API
to see other available methods on the client.Read thePolicy Troubleshooter API Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-private-ca
Private Certificate Authority: simplifies the deployment and management of private CAs without managing infrastructure.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Private Certificate Authority.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-private-caWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-private-caNext StepsRead theClient Library Documentationfor Private Certificate Authority
to see other available methods on the client.Read thePrivate Certificate Authority Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-private-catalog
Private Catalog: allows developers and cloud admins to make their solutions discoverable to their internal enterprise users. Cloud admins can manage their solutions and ensure their users are always launching the latest versions.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Private Catalog.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-private-catalogWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-private-catalogNext StepsRead theClient Library Documentationfor Private Catalog
to see other available methods on the client.Read thePrivate Catalog Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-profiler
Google Cloud Python profiling agentPython profiling agent forGoogle Cloud Profiler.SeeGoogle Cloud Profiler profiling Python codefor detailed documentation.Supported OSLinux. Profiling Python applications is supported for Linux kernels whose
standard C library is implemented withglibcor withmusl. For configuration
information specific to Linux Alpine kernels, seeRunning on Linux Alpine.Supported Python VersionsPython >= 3.7 and <= 3.11Installation & usageInstall the profiler package using PyPI:pip3installgoogle-cloud-profilerEnable the profiler in your application:importgooglecloudprofilerdefmain():# Profiler initialization. It starts a daemon thread which continuously# collects and uploads profiles. Best done as early as possible.try:googlecloudprofiler.start(service='hello-profiler',service_version='1.0.1',# verbose is the logging level. 0-error, 1-warning, 2-info,# 3-debug. It defaults to 0 (error) if not set.verbose=3,# project_id must be set if not running on GCP.# project_id='my-project-id',)except(ValueError,NotImplementedError)asexc:print(exc)# Handle errors hereInstallation on Linux AlpineThe Python profiling agent has a native component. The base Alpine image for
Python does not have all dependencies required to build this native component
installed. To build the Python profiling agent on Alpine, one must install the
packagebuild-base.To use the Python profiling agent on Alpine without installing additional
dependencies on to the final Alpine image, one can use a two-stage build and
compile the Python profiling agent in the first stage.Here is an example of a Docker image that uses a multi-stage build to compile
and install the Python profiling agent:FROM python:3.7-alpine as builder

# Install build-base to allow for compilation of the profiling agent.
RUN apk add --update --no-cache build-base

# Compile the profiling agent, generating wheels for it.
RUN pip3 wheel --wheel-dir=/tmp/wheels google-cloud-profiler


FROM python:3.7-alpine

# Copy over the directory containing wheels for the profiling agent.
COPY --from=builder /tmp/wheels /tmp/wheels

# Install the profiling agent.
RUN pip3 install --no-index --find-links=/tmp/wheels google-cloud-profiler

# Install any other required modules or dependencies, and copy an app which
# enables the profiler as described in "Enable the profiler in your
# application".
COPY ./bench.py .

# Run the application when the docker image is run, using either CMD (as is done
# here) or ENTRYPOINT.
CMD python3 -u bench.pyTroubleshootingResource temporarily unavailable errors with PythonIf you see the following log entries after enabling the Profiler:BlockingIOError: [Errno 11] Resource temporarily unavailable
Exception ignored when trying to write to the signal wakeup fdseehttps://cloud.google.com/profiler/docs/troubleshooting#python-blockingfor
the cause and the workaround.
Package: google-cloud-profiler-wheels
Google Cloud Python profiling agentPython profiling agent forGoogle Cloud Profiler.SeeGoogle Cloud Profiler profiling Python codefor detailed documentation.Supported OSLinux. Profiling Python applications is supported for Linux kernels whose
standard C library is implemented withglibcor withmusl. For configuration
information specific to Linux Alpine kernels, seeRunning on Linux Alpine.Supported Python VersionsPython >= 3.6Installation & usageInstall the profiler package using PyPI:pip3installgoogle-cloud-profilerEnable the profiler in your application:importgooglecloudprofilerdefmain():# Profiler initialization. It starts a daemon thread which continuously# collects and uploads profiles. Best done as early as possible.try:googlecloudprofiler.start(service='hello-profiler',service_version='1.0.1',# verbose is the logging level. 0-error, 1-warning, 2-info,# 3-debug. It defaults to 0 (error) if not set.verbose=3,# project_id must be set if not running on GCP.# project_id='my-project-id',)except(ValueError,NotImplementedError)asexc:print(exc)# Handle errors hereInstallation on Linux AlpineThe Python profiling agent has a native component. The base Alpine image for
Python does not have all dependencies required to build this native component
installed. To build the Python profiling agent on Alpine, one must install the
packagebuild-base.To use the Python profiling agent on Alpine without installing additional
dependencies on to the final Alpine image, one can use a two-stage build and
compile the Python profiling agent in the first stage.Here is an example of a Docker image that uses a multi-stage build to compile
and install the Python profiling agent:FROM python:3.7-alpine as builder

# Install build-base to allow for compilation of the profiling agent.
RUN apk add --update --no-cache build-base

# Compile the profiling agent, generating wheels for it.
RUN pip3 wheel --wheel-dir=/tmp/wheels google-cloud-profiler


FROM python:3.7-alpine

# Copy over the directory containing wheels for the profiling agent.
COPY --from=builder /tmp/wheels /tmp/wheels

# Install the profiling agent.
RUN pip3 install --no-index --find-links=/tmp/wheels google-cloud-profiler

# Install any other required modules or dependencies, and copy an app which
# enables the profiler as described in "Enable the profiler in your
# application".
COPY ./bench.py .

# Run the application when the docker image is run, using either CMD (as is done
# here) or ENTRYPOINT.
CMD python3 -u bench.pyTroubleshootingResource temporarily unavailable errors with PythonIf you see the following log entries after enabling the Profiler:BlockingIOError: [Errno 11] Resource temporarily unavailable
Exception ignored when trying to write to the signal wakeup fdseehttps://cloud.google.com/profiler/docs/troubleshooting#python-blockingfor
the cause and the workaround.
Package: google-cloud-public-ca
Public Certificate Authority: simplifies the deployment and management of public CAs without managing infrastructure.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Public Certificate Authority.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-public-caWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-public-caNext StepsRead theClient Library Documentationfor Public Certificate Authority
to see other available methods on the client.Read thePublic Certificate Authority Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-pubsublite
Pub/Sub Lite API: is designed to provide reliable,
many-to-many, asynchronous messaging between applications. Publisher
applications can send messages to a topic and other applications can
subscribe to that topic to receive the messages. By decoupling senders and
receivers, Google Cloud Pub/Sub allows developers to communicate between
independently written applications.Compared to Google Pub/Sub, Pub/Sub Lite provides partitioned zonal data
storage with predefined capacity. Both products present a similar API, but
Pub/Sub Lite has more usage caveats.See the [Google Pub/Sub Lite docs](https://cloud.google.com/pubsub/quickstart-console#before-you-begin) for more details on how to activate
Pub/Sub Lite for your project, as well as guidance on how to choose between
Cloud Pub/Sub and Pub/Sub Lite.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Pub/Sub Lite API.Setup Authentication.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-pubsubliteWindowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-pubsubliteNext StepsRead theClient Library Documentationfor Pub/Sub Lite API
to see other available methods on the client.Read thePub/Sub Lite API Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-quotas
Cloud Quotas API: Cloud Quotas API provides Google Cloud service consumers with management and observability for resource usage, quotas, and restrictions of the services they consume.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Quotas API.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-cloudquotasWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-cloudquotasNext StepsRead theClient Library Documentationfor Cloud Quotas API
to see other available methods on the client.Read theCloud Quotas API Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-rapidmigrationassessment
Rapid Migration Assessment API: The Rapid Migration Assessment service is our first-party migration assessment and planning tool.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Rapid Migration Assessment API.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-rapidmigrationassessmentWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-rapidmigrationassessmentNext StepsRead theClient Library Documentationfor Rapid Migration Assessment API
to see other available methods on the client.Read theRapid Migration Assessment API Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-recaptcha-enterprise
reCAPTCHA Enterprise: protect your website from fraudulent activity like scraping, credential stuffing, and automated account creation.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the reCAPTCHA Enterprise.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-recaptcha-enterpriseWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-recaptcha-enterpriseNext StepsRead theClient Library Documentationfor reCAPTCHA Enterprise
to see other available methods on the client.Read thereCAPTCHA Enterprise Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-recommendations-ai
Recommendations AI: delivers highly personalized product recommendations at scale.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Recommendations AI.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-recommendations-aiWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-recommendations-aiNext StepsRead theClient Library Documentationfor Recommendations AI
to see other available methods on the client.Read theRecommendations AI Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-recommender
Cloud Recommender: delivers highly personalized product recommendations at scale.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Recommender.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-recommenderWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-recommenderNext StepsRead theClient Library Documentationfor Cloud Recommender
to see other available methods on the client.Read theCloud Recommender Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.