Saravanan666/pypi-org huggingface dataset:
Package: tiledb-prompt-options
tiledb-prompt-optionsTileDB notebook extension to prompt user for notebook optionsThis extension is composed of a Python package namedtiledb-prompt-optionsfor the server extension and a NPM package named@tiledb-inc/tiledb_prompt_optionsfor the frontend extension.RequirementsJupyterLab >= 3.0InstallTo install the extension, execute:pipinstalltiledb-prompt-optionsUninstallTo remove the extension, execute:pipuninstalltiledb-prompt-optionsTroubleshootIf you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:jupyterserverextensionlistIf the server extension is installed and enabled, but you are not seeing
the frontend extension, check the frontend extension is installed:jupyterlabextensionlistContributingDevelopment installNote: You will need NodeJS to build the extension package.Thejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.# Clone the repo to your local environment# Change directory to the tiledb-prompt-options directory# Install package in development modepython-mpipinstall.# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Server extension must be manually installed in develop modejupyterserverextensionenabletiledb-prompt-options# Rebuild extension Typescript source after making changesjlpmrunbuildYou can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.# Watch the source directory in one terminal, automatically rebuilding when neededjlpmrunwatch# Run JupyterLab in another terminaljupyterlabWith the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).By default, thejlpm run buildcommand generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:jupyterlabbuild--minimize=FalseDevelopment uninstall# Server extension must be manually disabled in develop modejupyterserverextensiondisabletiledb-prompt-options
pipuninstalltiledb-prompt-optionsIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink named@tiledb-inc/tiledb_prompt_optionswithin that folder.Packaging the extensionSeeRELEASE
Package: tiledbsc
OverviewThis is a POC Python implementation of the proposedUnified Single-cell Data Model.InstallationUsing pipThis code is hosted atPyPI, so you can dopython -m pip install tiledbscTo install a specific version:python -m pip install git+https://github.com/single-cell-data/TileDB-SingleCell.git@0.0.6#subdirectory=apis/pythonTo update to the latest version:python -m pip install --upgrade tiledbscFrom sourceThis requirestiledb(see./setup.cfgfor version), in addition to other dependencies insetup.cfg.Clonethis repocdinto your checkout and thencd apis/pythonpython -m pip install .Or, if you wish to modify the code and run it,python setup.py developOptionally, if you prefer, you can run that insidevenv:python -m venv venv
. ./venv/bin/activate
python -m pip install .In either case:python -m pytest testsStatusPlease seehttps://github.com/single-cell-data/TileDB-SingleCell/issues.
Package: tiledbsoma
OverviewThis is a Python implementation of theSOMA API specificationfor interacting with theUnified Single-cell Data Model.InstallationTileDB-SOMA is available onPyPIandConda, and can be installed viapipormambaas indicated below.python-mpipinstalltiledbsomamambainstall-cconda-forge-ctiledbtiledbsoma-pyTo install a specific version:$python-mpipinstallgit+https://github.com/single-cell-data/TileDB-SOMA.git@0.0.6#subdirectory=apis/pythonTo update to the latest version:$python-mpipinstall--upgradetiledbsomaFrom sourceThis requirestiledb(see./setup.cfgfor version), in addition to other dependencies insetup.cfg.Clonethis repocdinto your checkout and thencd apis/pythonpython -m pip install .Or, if you wish to modify the code and run it,python -m pip install -v -e .If the TileDB and TileDB-SOMA libraries are locally installed to a custom directory, such as/usr/local, set the path with environment variablesTILEDB_PATHandTILEDBSOMA_PATH,TILEDB_PATH=/usr/local python -m pip install -v -e .Optionally, if you prefer, you can run that insidevenv:$python-mvenvvenv
$../venv/bin/activate
$python-mpipinstall-v-e.In either case:python-mpytesttestsStatusPlease seehttps://github.com/single-cell-data/TileDB-SOMA/issues.platform_configformatWhen accessing SOMA APIs, TileDB-specific settings can be configured with theplatform_configparameter.
The options accepted by TileDB SOMA are described here, usingTypeScript interface syntax:interfacePlatformConfig{tiledb?:TDBConfig;}interfaceTDBConfig{create?:TDBCreateOptions;}interfaceTDBCreateOptions{dims?:{[dim:string]:TDBDimension};attrs?:{[attr:string]:TDBAttr};allows_duplicates?:bool;offsets_filters?:TDBFilter[];validity_filters?:TDBFilter[];capacity?:number;cell_order?:string;tile_order?:string;}interfaceTDBDimension{filters?:TDBFilter[];tile?:number;}interfaceTDBAttr{filters?:TDBFilter[];}/*** Either the name of a filter (in which case it will use* the default arguments) or a specification with filter args.*/typeTDBFilter=string|TDBFilterSpec;interfaceTDBFilterSpec{/** The name of the filter. */_name:string;/** kwargs that are passed when constructing the filter. */[kwarg:string]:any;}Information for developersPlease see theTileDB-SOMA wiki.
Package: tiledb-vector-search
TileDB Vector SearchTileDB-Vector-Searchis a C++ library and Python API for vector search built on top of theTileDB Storage Engine.Please see the following blog posts for background:Why TileDB as a Vector DatabaseTileDB Vector Search 101We have released aLangChain integration, with others to come soon.Quick LinksBuild InstructionsDocumentationPython API referenceQuick InstallationPre-built packages are available fromPyPIusing pip:pip install tiledb-vector-searchOr from thetiledb conda channelusingcondaormamba:conda install -c tiledb -c conda-forge tiledb-vector-searchContributingWe welcome contributions. Please seeBuildingfor
development-build instructions. For large new
features, please open an issue to discuss goals and approach in order
to ensure a smooth PR integration and review process. All contributions
must be licensed under the repository'sMIT License.
Package: tile-generator
PCF Tile GeneratorPCF Tile Generator is a suite of tools to help you develop, package, test,
and deploy services and other add-ons to Pivotal Cloud Foundry. The tile generator
uses templates and patterns that are based on years of experience integrating
third-party services into Cloud Foundry, and eliminates much of the need for
you to have intimate knowledge of all the tools involved.Documentation:Pivotal DocumentationPCF Tile Developers Guide:Pivotal DocumentationRoadmap:Github IssuesCI Pipeline:RunwayContinuous IntegrationThe master branch of this repository is being monitored bythis Runway pipeline.
The pipeline verifies that:The tile generator passes all unit tests intile_generator/*_unittest.pyThe tile generator successfully builds the sample tile insampleThe generated tile passes all acceptance tests inci/acceptance-testsThe generated tile successfully deploys to a current version of PCFThe deployed tile passes all deployment tests inci/deployment-testsTo target the pipeline run the following commandfly login -t <desired_target_name> -c https://runway-ci.eng.vmware.com -n ppe-isvYou need to be a member of the ppe-isv team for the above command to work.Contributing to the Tile GeneratorWe welcome comments, questions, and contributions from community members. Please consider
the following ways to contribute:File Github issues for questions, bugs and new features and comment and vote on the ones that you are interested in.If you want to contribute code, please make your code changes on a fork of this repository and submit a
pull request to the master branch of tile-generator. We strongly suggest that you first file an issue to
let us know of your intent, or comment on the issue you are planning to address.DevelopmentFor development, it is useful to install the tile-generator package ineditablemode. That is, you can install the tile-generator package
in a way that points to your local repository, so that your code
changes are immediately available through thetileorpcfcommands. To do this, run this command in your tile-generator
repository directory:./install-git-hook.sh
pip install -e .To avoid downloading dependencies on everytile build:cd samplemkdir cachetile build --cache cacheRun indivBefore executing./scripts/run_local_tests.shinstall virtualenv withpip install virtualenvThen to execute all test using the cache from the project root use:./scripts/run_local_tests.sh withcache
Package: tilejet-cache
TileJet Cache (tilejet-cache)===============## DescriptionA performant python utility for caching tiles in-memory.  This library was initially developed through the [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/).### CyberGISThe [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx) has been developing a sophisticated geographic computing infrastructure referred to as the CyberGIS. The CyberGIS provides highly available, scalable, reliable, and timely geospatial services capable of supporting multiple concurrent projects.  The CyberGIS relies on primarily open source projects, such as PostGIS, GeoServer, GDAL, GeoGit, OGR, and OpenLayers.  The name CyberGIS is dervied from the term geospatial cyberinfrastructure.### Imagery to the CrowdThe [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/) (or IttC) is a core initiative of the [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx).  Through IttC, HIU publishes high-resolution commercial satellite imagery, purchased by the United States Government, in a web-based format that can be easily mapped by volunteers.  These imagery services are used by volunteers to add baseline geographic data into [OpenStreetMap](http://www.openstreetmap.org/), such as roads and buildings.  The imagery processing pipeline is built from opensource applications, such as TileCache and GeoServer.  All tools developed by HIU for ITTC, are also open source, such as this repo.  More information can be found at [http://mapgive.state.gov/ittc/](http://mapgive.state.gov/ittc/).## InstallationTBD## ContributingTBD## LicenseThis project constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105.However, because the project utilizes code licensed from contributors and other third parties, it therefore is licensed under the MIT License. http://opensource.org/licenses/mit-license.php. Under that license, permission is granted free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the conditions that any appropriate copyright notices and this permission notice are included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: tilejet-logs
TileJet Logs (tilejet-logs)===============## DescriptionA python utility library containing functions for logging tile service usage.  This library was initially developed through the [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/).### CyberGISThe [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx) has been developing a sophisticated geographic computing infrastructure referred to as the CyberGIS. The CyberGIS provides highly available, scalable, reliable, and timely geospatial services capable of supporting multiple concurrent projects.  The CyberGIS relies on primarily open source projects, such as PostGIS, GeoServer, GDAL, GeoGit, OGR, and OpenLayers.  The name CyberGIS is dervied from the term geospatial cyberinfrastructure.### Imagery to the CrowdThe [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/) (or IttC) is a core initiative of the [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx).  Through IttC, HIU publishes high-resolution commercial satellite imagery, purchased by the United States Government, in a web-based format that can be easily mapped by volunteers.  These imagery services are used by volunteers to add baseline geographic data into [OpenStreetMap](http://www.openstreetmap.org/), such as roads and buildings.  The imagery processing pipeline is built from opensource applications, such as TileCache and GeoServer.  All tools developed by HIU for ITTC, are also open source, such as this repo.  More information can be found at [http://mapgive.state.gov/ittc/](http://mapgive.state.gov/ittc/).## InstallationTBD## ContributingTBD## LicenseThis project constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105.However, because the project utilizes code licensed from contributors and other third parties, it therefore is licensed under the MIT License. http://opensource.org/licenses/mit-license.php. Under that license, permission is granted free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the conditions that any appropriate copyright notices and this permission notice are included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: tilejet-stats
TileJet Stats (tilejet-stats)================## DescriptionA python utility library containing functions for generating statistics on tile service usage.  This library was initially developed through the [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/).### CyberGISThe [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx) has been developing a sophisticated geographic computing infrastructure referred to as the CyberGIS. The CyberGIS provides highly available, scalable, reliable, and timely geospatial services capable of supporting multiple concurrent projects.  The CyberGIS relies on primarily open source projects, such as PostGIS, GeoServer, GDAL, GeoGit, OGR, and OpenLayers.  The name CyberGIS is dervied from the term geospatial cyberinfrastructure.### Imagery to the CrowdThe [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/) (or IttC) is a core initiative of the [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx).  Through IttC, HIU publishes high-resolution commercial satellite imagery, purchased by the United States Government, in a web-based format that can be easily mapped by volunteers.  These imagery services are used by volunteers to add baseline geographic data into [OpenStreetMap](http://www.openstreetmap.org/), such as roads and buildings.  The imagery processing pipeline is built from opensource applications, such as TileCache and GeoServer.  All tools developed by HIU for ITTC, are also open source, such as this repo.  More information can be found at [http://mapgive.state.gov/ittc/](http://mapgive.state.gov/ittc/).## InstallationTBD## ContributingTBD## LicenseThis project constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105.However, because the project utilizes code licensed from contributors and other third parties, it therefore is licensed under the MIT License. http://opensource.org/licenses/mit-license.php. Under that license, permission is granted free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the conditions that any appropriate copyright notices and this permission notice are included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: tilejet-util
TileJet Util (tilejet-util)================## DescriptionA python utility library containing functions for managing tile services, such as converting between z/x/y to geojson.  This library was initially developed through the [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/).### CyberGISThe [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx) has been developing a sophisticated geographic computing infrastructure referred to as the CyberGIS. The CyberGIS provides highly available, scalable, reliable, and timely geospatial services capable of supporting multiple concurrent projects.  The CyberGIS relies on primarily open source projects, such as PostGIS, GeoServer, GDAL, GeoGit, OGR, and OpenLayers.  The name CyberGIS is dervied from the term geospatial cyberinfrastructure.### Imagery to the CrowdThe [Imagery to the Crowd Initiative](http://mapgive.state.gov/ittc/) (or IttC) is a core initiative of the [Humanitarian Information Unit](https://hiu.state.gov/Pages/Home.aspx).  Through IttC, HIU publishes high-resolution commercial satellite imagery, purchased by the United States Government, in a web-based format that can be easily mapped by volunteers.  These imagery services are used by volunteers to add baseline geographic data into [OpenStreetMap](http://www.openstreetmap.org/), such as roads and buildings.  The imagery processing pipeline is built from opensource applications, such as TileCache and GeoServer.  All tools developed by HIU for ITTC, are also open source, such as this repo.  More information can be found at [http://mapgive.state.gov/ittc/](http://mapgive.state.gov/ittc/).## InstallationTBD## ContributingTBD## LicenseThis project constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105.However, because the project utilizes code licensed from contributors and other third parties, it therefore is licensed under the MIT License. http://opensource.org/licenses/mit-license.php. Under that license, permission is granted free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the conditions that any appropriate copyright notices and this permission notice are included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: tilejson
tilejsonCreate simple map viewer from TileJSON URL.InstallYou can install tilejson using pip$pipinstalltilejsonBuild from source$gitclonehttps://github.com/developmentseed/tilejson.git
$cdtilejson
$pipinstall-e.CLI$tilejson--help
Usage:tilejson[OPTIONS]URLtilejsoncli.

Options:--no-geoCreateMapviewerfornon-geoimage.-o,--outputPATHOutputfilename.--helpShowthismessageandexit.How it worksThetilejsonCLI will create simple map viewer (usingMapLibre) with a reference to the input tilejson URL.By default the HTML code will be saved in a system temporary directory but user can pass an--outputoption to store the HTML file in a custom place.Once the HTML document is created,clickwilllaunchthe page, opening it with the user's default browser.Contribution & DevelopmentSeeCONTRIBUTING.mdAuthorsCreated byDevelopment SeedChangesSeeCHANGES.md.LicenseSeeLICENSE.txt
Package: tilemani
TileManiTileMani (for Tile Mani(pulation) or Tile Mani(ac)) is a collection of tools toretreive street network and geometric (eg. buildings, POIs) from OSM databaserasterize the retrieved data into anp.arraywith customizable style (e.g.
width, color per road type, building type, green area, etc),compute spatial features (eg. average number of intersections, road bearings,
between centrality, or density-based metrics like FSI, GSI),build/train a model of urban space from graph-, or grid- structured data
Package: tilemapbase
TileMapBaseUses OpenStreetMap tiles, or other tile servers, to produce “basemaps”
for use with matplotlib. Uses a SQLite database to cache the tiles, so
you can experiment with map production without re-downloading the same
tiles. Supports Open Data tiles from the UK Ordnance Survey.RequirementsPure python. Usesrequeststo make HTTP
requests for tiles, andpillowfor
image manipulation.Installpip install tilemapbaseor build from source:python setup.py installor directly from GitHub:pip install https://github.com/MatthewDaws/TileMapBase/zipball/masterExampleExample- Jupyter notebook showing examples.Ordnance
Survey- Ordnance survey examples.Notebooks- Other examples.OpenStreetMap dataOpenStreetMap Data is “© OpenStreetMap contributors”, seehttp://www.openstreetmap.org/copyrightPlease remember that tile set usage is subject to constraints:https://operations.osmfoundation.org/policies/tiles/As of 25/05/2019OSM requires a user agent for all
requests,
with a warning “Faking another app’s User-Agent WILL get you
blocked.” We hence default to using “TileMapBase” as a user agent.Ordnance Survery dataContains OS data © Crown copyright and database right
(2017)