Saravanan666/pypi-org huggingface dataset:
Package: heaserver-data-adapters
HEA Server Data Adapters MicroserviceResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Data Adapters Microservice provides access to data files and databases.Version 1Initial release.Runtime requirementsPython 3.10Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10: Download and install Python 3.10 fromhttps://www.python.org, and select the options to install for all users and add
Python to your environment variables. The install for all users option will help keep you from accidentally installing
packages into your Python installation's site-packages directory instead of to your virtualenv environment, described
below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install wheelfollowed bypip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Running testsRun tests with thepytestcommand from the project root directory. To improve performance, run tests in multiple
processes withpytest -n auto.Running integration testsInstall DockerOn Windows, install pywin32 version >= 223 fromhttps://github.com/mhammond/pywin32/releases. In your venv, make sure thatinclude-system-site-packagesis set totrue.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/dataadapters/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/dataadapters/ -H 'accept: application/json'Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heaserver-organizations
HEA Server OrganizationResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Server Organization is a service for managing organization information for research laboratories and other research groups.Version 1.0.1Improved performance.Version 1Initial release.Runtime requirementsPython 3.10 or 3.11Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10 or 3.11: Download and install Python 3.10 fromhttps://www.python.org, and select the options to install
for all users and add Python to your environment variables. The install for all users option will help keep you from
accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv
environment, described below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Running testsRun tests with thepytestcommand from the project root directory. To improve performance, run tests in multiple
processes withpytest -n auto.Running integration testsInstall DockerOn Windows, install pywin32 version >= 223 fromhttps://github.com/mhammond/pywin32/releases. In your venv, make sure thatinclude-system-site-packagesis set totrue.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/organizations/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/organizations/ -H 'accept: application/json'Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heaserver-people
HEA Person MicroserviceResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Person Microservice is A microservice designed to provide CRUD operations for the Person HEA object type.Version 1.0.4Improved performance.Version 1.0.3Fixed access token caching logic error.Version 1.0.2Get user's client-level roles correctly.Version 1.0.1Addressed intermittent 500 error when calling the Keycloak admin API.Version 1Initial release.Runtime requirementsPython 3.10 or 3.11Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10 or 3.11: Download and install Python 3.10 fromhttps://www.python.org, and select the options to install
for all users and add Python to your environment variables. The install for all users option will help keep you from
accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv
environment, described below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/buckets/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/buckets/ -H 'accept: application/json'Running testsRun tests with thepytestcommand from the project root directory. To improve performance, run tests in multiple
processes withpytest -n auto.Running integration testsInstall DockerOn Windows, install pywin32 version >= 223 fromhttps://github.com/mhammond/pywin32/releases. In your venv, make sure thatinclude-system-site-packagesis set totrue.Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heaserver-registry
HEA Server Registry MicroserviceResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Server Registry Microservice manages mappings of HEA Object types to the microservices for storing and
retrieving them.Version 1Initial release.Runtime requirementsPython 3.10 or 3.11Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10 or 3.11: Download and install Python 3.10 fromhttps://www.python.org, and select the options to install
for all users and add Python to your environment variables. The install for all users option will help keep you from
accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv
environment, described below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install wheelfollowed bypip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Running testsRun tests with thepytestcommand from the project root directory. To improve performance, run tests in multiple
processes withpytest -n auto.Running integration testsInstall DockerOn Windows, install pywin32 version >= 223 fromhttps://github.com/mhammond/pywin32/releases. In your venv, make sure thatinclude-system-site-packagesis set totrue.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/components/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/components/ -H 'accept: application/json'Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heaserver-settings
HEA Server Settings MicroserviceResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Server Settings Microservice manages user and system settings.Version 1Initial release.Runtime requirementsPython 3.10 or 3.11Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10 or 3.11: Download and install Python 3.10 fromhttps://www.python.org, and select the options to install
for all users and add Python to your environment variables. The install for all users option will help keep you from
accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv
environment, described below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install wheelfollowed bypip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Running testsRun tests with thepytestcommand from the project root directory. To improve performance, run tests in multiple
processes withpytest -n auto.Running integration testsInstall DockerOn Windows, install pywin32 version >= 223 fromhttps://github.com/mhammond/pywin32/releases. In your venv, make sure thatinclude-system-site-packagesis set totrue.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/components/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/components/ -H 'accept: application/json'Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heaserver-storage
HEA Server AWS Storage MicroserviceResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Server AWS Storage Microservice is a service manages AWS storage information details.Version 1Initial release.Runtime requirementsPython 3.10 or 3.11.Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10 or 3.11: Download and install Python 3.10 fromhttps://www.python.org, and select the options to install
for all users and add Python to your environment variables. The install for all users option will help keep you from
accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv
environment, described below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install wheelfollowed bypip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Running testsRun tests with thepytestcommand from the project root directory. To improve performance, run tests in multiple
processes withpytest -n auto.Running integration testsInstall DockerOn Windows, install pywin32 version >= 223 fromhttps://github.com/mhammond/pywin32/releases. In your venv, make sure thatinclude-system-site-packagesis set totrue.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/storage/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/storage/ -H 'accept: application/json'Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heaserver-trash-aws-s3
HEA Trash MicroserviceResearch Informatics Shared Resource,Huntsman Cancer Institute,
Salt Lake City, UTThe HEA Trash Microservice is deleted file management.Version 1.0.1Performance improvements.Version 1Initial release.Runtime requirementsPython 3.10 or 3.11Development environmentBuild requirementsAny development environment is fine.On Windows, you also will need:Build Tools for Visual Studio 2019, found athttps://visualstudio.microsoft.com/downloads/. Select the C++ tools.git, found athttps://git-scm.com/download/win.On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.Python 3.10 or 3.11: Download and install Python 3.8 fromhttps://www.python.org, and select the options to install
for all users and add Python to your environment variables. The install for all users option will help keep you from
accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv
environment, described below.Create a virtualenv environment using thepython -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual
environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do
this for you automatically.Note that PyCharm will do this for you, but you have to create a new Terminal panel
after you newly configure a project with your virtualenv.From the project's root directory, and using the activated virtualenv, runpip install wheelfollowed bypip install -r requirements_dev.txt.Do NOT runpython setup.py develop. It will break your environment.Running testsRun tests with thepytestcommand from the project root directory.Trying out the APIsThis microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:Install Docker, if it is not installed already.Run therun-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB
Docker container.Go tohttp://127.0.0.1:8080/docsin your web browser.Oncerun-swaggerui.pyis running, you can also access the APIs viacurlor other tool. For example, in Windows
PowerShell, execute:Invoke-RestMethod -Uri http://localhost:8080/trashawss3s/ -Method GET -Headers @{'accept' = 'application/json'}`In MacOS or Linux, the equivalent command is:curl -X GET http://localhost:8080/trashawss3s/ -H 'accept: application/json'Packaging and releasing this projectSee theRELEASING.mdfile for details.
Package: heat1d
heat1dThermal model for planetary science applications (Python version)Free software: MIT licenseDocumentation:https://heat1d.readthedocs.io.See thenotebookfor an example.FeaturesModeling 1D heat transfer in planetary surfacesProvides library of required planetary surface parametersPlotting helpers (seenotebook)Installationpipinstallheat1dCreditsAuthor: P. HaynePackage maintainer: K.-Michael AyeThis package was created withCookiecutterand the forkedmichaelaye/cookiecutter-pypackage-condaproject template.History0.1.0 (2019-05-21)First release on PyPI.0.1.4 (2019-07-19)release planets as its own libraryThis means it’s now a dependency of this projectFirst documenation pages are now live at heat1d.readthedocs.org0.3.1 (2020-09-04)rename classes to capital letters following best practicesadd Configurator object to be able to runModelwith different chi valuesThis also allows change of gridding parameters and other settingsdisplay a Configurator object like shown in the example to see its contentdepend on planets >= 0.4.6 due to bug in 0.4.5add plotting module and mpl stylesheet use
Package: heat-cfntools
Team and repository tagsHeat CloudFormation ToolsThere are several bootstrap methods for cloudformations:Create image with application ready to goUse cloud-init to run a startup script passed as userdata to the nova
server createUse the CloudFormation instance helper scriptsThis package contains files required for choice #3.cfn-init   -Reads the AWS::CloudFormation::Init for the instance resource,
installs packages, and starts servicescfn-signal -Waits for an application to be ready before continuing, ie:
supporting the WaitCondition featurecfn-hup    -Handle updates from the UpdateStack CloudFormation API callFree software: Apache licenseSource:https://opendev.org/openstack/heat-cfntools/Bugs:https://storyboard.openstack.org/#!/project/openstack/heat-cfntoolsRelated projectshttps://wiki.openstack.org/Heat
Package: heat-dashboard
Heat dashboard is a horizon plugin for Heat.License: Apache licenseDocumentation:https://docs.openstack.org/heat-dashboard/latest/Source:https://opendev.org/openstack/heat-dashboardBugs:https://storyboard.openstack.org/#!/project/openstack/heat-dashboardRelease Notes:https://docs.openstack.org/releasenotes/heat-dashboardTeam and repository tags