Saravanan666/pypi-org huggingface dataset:
Package: librdflib
librdfliblibrdf parser for rdflibHighly experimental.This is not faster for pypy3 but if you want install it follow these steps (ish).http://download.librdf.org/source/redland-bindings-1.0.17.1.tar.gz
tarxvzfredland-bindings-1.0.17.1.tar.gzcdredland-bindings-1.0.17.1
./configure--with-python=pypy3--prefix
makecheck# will fail on storagecppython/__pycache__/RDF.*${site_packages}/__pycache__
cppython/__pycache__/Redland.*${site_packages}/__pycache__
cppython/RDF.py${site_packages}cppython/Redland.py${site_packages}cppython/_Redland.pypy3*.so${site_packages}
Package: libreant
This is libreant: a software to manage both your ebooks and your physical books.
Its approach is:minimum assumptions about your library structure, catalogation systems or whatsoeverease of deploymentease to build a decentralized network for integration, sharing, and searchIts main UI is a web oneDocumentationYou can read up-to-date documentation onRead the docsQuick startTo install libreant please refer to theofficial installation guide
Package: libreauth
Python bindings to the LibreAuth library.
LibreAuth is a collection of tools for user authentication written in Rust.FeaturesThis is a work in progress. Some features may not be available.Password / passphrase authentication✓ no character-set limitation✓ reasonable lenth limit (security vs. DOS)✓ strong, evolutive and retro-compatible password hashing functions✓ optional NIST Special Publication 800-63B compatibilityHOTP - HMAC-based One-time Password Algorithm (OATH-RFC 4226)✗ the key can be passed as bytes, an ASCII string, an hexadicimal string or a base32 string✗ customizable counter✗ customizable hash function (sha1, sha256, sha512)✗ customizable output length✗ customizable output alphabetTOTP - Time-based One-time Password Algorithm (OATH-RFC 6238)✗ the key can be passed as bytes, an ASCII string, an hexadicimal string or a base32 string✗ customizable timestamp✗ customizable period✗ customizable initial time (T0)✗ customizable hash function (sha1, sha256, sha512)✗ customizable output length✗ customizable output alphabet✗ customizable positive and negative period tolerance
Package: librec-auto
============
Librec-auto.. image::https://coveralls.io/repos/github/that-recsys-lab/librec-auto/badge.svg?branch=master:target:https://coveralls.io/github/that-recsys-lab/librec-auto?branch=masterAboutlibrec-autois a Python tool for running recommender systems experiments.
It is built on top of the open-source LibRec_ package, and
can take advantage of the many algorithm and metric implementations there... _LibRec:https://github.com/guoguibing/librecThe basic element oflibrec-autoexecution is the "study", which is a series
of experiments carried with a single algorithm, a single data set, and a set
of evaluation metrics. The experiments differ from each other by the hyperparameters
given to the algorithm.librec-autoallows such studies to be conducted with
minimal experimenter intervention, and supports such capabilities as:recommendation result re-rankingre-running evaluations without re-computing resultsfairness-aware metricssummarizing results in output graphsintegration with Slack and DropboxMore complete documentation is available at readthedocs_:.. _readthedocs:https://librec-auto.readthedocs.io/en/latest/index.htmlWorkflowThe workflow of an study involves identifying appropriate data, creating
training / test splits, implementing or choosing algorithms, running experiments
(possibly with a range of different parameters), and reporting on the results.ConfigurationLibrec-auto uses an XML-based configuration system similar to Maven or Ant.Project structureThis directory contains the Python libraries for the librec_auto module. There are two other affiliated
respositories:librec-auto-java_: Contains the java source for the wrapper between LibRec and librec-auto, which is implemented in theauto.jarfile.librec-auto-demo2021_: Contains sample data and configuration files that can be used to explore the functionality of librec-auto.. _librec-auto-java:https://github.com/that-recsys-lab/librec-auto-java.. _librec-auto-sample:https://github.com/that-recsys-lab/librec-auto-demo2021Repo structure/bin: Contains auxiliary scripts including the study setup wizard./librec_auto/jar: Contains the jar files for LibRec and the wrapper./librec_auto/rules: Contains the rules for translating configuration data to LibRec properties format./librec_auto/core: Contains the Python code for the project./librec_auto/docs: Contains documentation for the project/librec_auto/test: Contains the unit tests (not many right now)/librec_auto/library: Contains libraries of configuration information (look hear to see how to configure different algorithms)
Package: librecell-layout
LibreCell - LayoutCMOS Standard Cell layout generator.Getting startedSee install instructions in top-project.Generate a layoutGenerate a layout from a SPICE netlist which includes the transistor sizes:--output-dir: Directory which will be used to store GDS and LEF of the cell--tech: Python script file containing design rules and technology related data--netlist: A SPICE netlist containing the netlist of the cell as a sub circuit (.subckt).--cell: Name of the cell. Must match the name of the sub circuit in the SPICE netlist.mkdirmylibrary
lclayout--output-dirmylibrary--techexamples/dummy_tech.py--netlistexamples/cells.sp--cellAND2X1Adapting design rulesDesign rulesi and technology related data need to be encoded in a Python script file as shown inexamples/dummy_tech.py.
Package: librecubo
Download, process, correct, and enhance images sourced from various satellite providers.Github repository:https://github.com/orgs/librecubo/repositories/Documentationhttps://librecubo.readthedocs.io/PyPI:https://pypi.org/project/librecubo/Conda-forge:https://anaconda.org/conda-forge/librecuboTutorials:https://librecubo.readthedocs.io/en/latest/tutorials.htmlOverviewThe "librecubo" package in Python represents a powerful ensemble of modules
tailored for satellite image processing and enhancement. This comprehensive
toolkit is designed to handle diverse satellite imagery, enabling tasks ranging
from data acquisition to intricate processing techniques like cloud masking,
BRDF correction, temporal referencing, and resolution enhancement. With its
multifaceted capabilities, "librecubo" streamlines the retrieval, manipulation,
and refinement of satellite data, facilitating efficient and comprehensive image
analysis for various applications.How to useThe example below shows how to uselibrecubomodule to download Sentinel-2
images.fromlibrecuboimportlibrecubo_downloadlibrecubo_download.download_sentinel2(lat=-12.046374,lon=-77.042793,project="test1",path="path/to/save/data",start_date="2000-02-16",end_date="2022-12-31",edge_size=1000)# 0%|▍                                     | 1/281 [00:17<\1:19:41, 17.08s/it]InstallationInstall the latest version from PyPI:pip install librecuboUpgrade opensr-test by running:pip install -U librecuboInstall the latest dev version from GitHub by running:pip install git+https://github.com/librecuboExamplesVisualizationsWorkflowThe workflow below shows the main steps to process satellite images usinglibrecubopackage.librecubo-download:Facilitates simultaneous download
         of multiple images from Landsat (1-9), Sentinel-2, and MODIS using multiprocessing
         for efficient data retrieval.librecubo-clouds:Handles cloud masking in MODIS, Landsat,
        and Sentinel-2 images via the CloudSEN12v2 database. Generates a Zarr object with
        temporal-based chunk organization.librecubo-reference:Establishes temporal series references by extending
        MODIS data. Performs BRDF correction for Landsat images (5-9) and Sentinel-2 using Roy et
         al.'s 2020 method (librecubo-brdf).librecubo-brdf:Focuses on BRDF correction specifically for Sentinel-2
        images.librecubo-mss2tm:Corrects Landsat MSS images.librecubo-smoother:Manages gap-filling and data smoothing post-reference
        generation. Improves overall coherence and quality by filling missing data spaces and applying
        smoothing techniques.Auxiliary Modules:librecubo-semantic:Enables generation of image semantics, likely involving
        addition of contextual information or metadata.librecubo-super:Focuses on super-resolution, enhancing image quality by
        upscaling images from 10 meters to 5 meters resolution.CitationIf you uselibrecuboin your research, please cite our paper. Coming soon!AcknowledgementsWe received funding from the National Council of Science, Technology, and
Technological Innovation (CONCYTEC, Peru) under the “Proyectos de Investigación
Básica – 2023-01” program (PE501083135-2023-PROCIENCIA).
Package: librecubo_brdf
librecubo-brdfThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/JulioContrerasH/librecubo-brdf/Documentationhttps://JulioContrerasH.github.io/librecubo-brdf/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:JulioContrerasH/librecubo-brdf.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_clouds
librecubo-cloudsThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/Julio/librecubo-clouds/Documentationhttps://Julio.github.io/librecubo-clouds/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:Julio/librecubo-clouds.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_download
librecubo-downloadThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/jfphlorecti/librecubo-download/Documentationhttps://jfphlorecti.github.io/librecubo-download/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:jfphlorecti/librecubo-download.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_geometric
librecubo-geometricThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/jfloresf/librecubo-geometric/Documentationhttps://jfloresf.github.io/librecubo-geometric/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:jfloresf/librecubo-geometric.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_mss2tm
librecubo-mss2tmThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/JulioContrerasH/librecubo-mss2tm/Documentationhttps://JulioContrerasH.github.io/librecubo-mss2tm/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:JulioContrerasH/librecubo-mss2tm.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_reference
librecubo-referenceThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/JulioContrerasH/librecubo-reference/Documentationhttps://JulioContrerasH.github.io/librecubo-reference/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:JulioContrerasH/librecubo-reference.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.librecubo-reference
Package: librecubo_semantic
librecubo-semanticThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/jfloresf/librecubo-semantic/Documentationhttps://jfloresf.github.io/librecubo-semantic/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:jfloresf/librecubo-semantic.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_smoother
librecubo-smootherThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/jfloresf/librecubo-smoother/Documentationhttps://jfloresf.github.io/librecubo-smoother/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:jfloresf/librecubo-smoother.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: librecubo_super
librecubo-superThis is a template repository for Python projects that use Poetry for their dependency management.Github repository:https://github.com/jfloresf/librecubo-super/Documentationhttps://jfloresf.github.io/librecubo-super/Getting started with your projectFirst, create a repository on GitHub with the same name as this project, and then run the following commands:gitinit-bmain
gitadd.
gitcommit-m"init commit"gitremoteaddorigingit@github.com:jfloresf/librecubo-super.git
gitpush-uoriginmainFinally, install the environment and the pre-commit hooks withmakeinstallYou are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.To finalize the set-up for publishing to PyPi or Artifactory, seehere.
For activating the automatic documentation with MkDocs, seehere.
To enable the code coverage reports, seehere.Releasing a new versionCreate an API Token onPypi.Add the API Token to your projects secrets with the namePYPI_TOKENby visitingthis page.Create anew releaseon Github.Create a new tag in the form*.*.*.For more details, seehere.Repository initiated withfpgmaas/cookiecutter-poetry.
Package: libreda
libreda-pythonWork-in-progressPython binding forlibreda-db.InstallCreate a Python virtual environment:python-mvenvmyPythonEnvsourcemyPythonEnv/bin/activate# Install maturin (build tool for Rust-based Python packages)pipinstallmaturinDownload and install libreda-python:# LibrEDA consists of many Rust libraries. The workspace bundles them together.gitclone--recursivehttps://codeberg.org/LibrEDA/libreda-rs-workspacelibredacdlibreda/libreda-python# Install in development mode.maturindevelopRun a Python shell and importlibreda:pythonimportlibredaasdbchip=db.Chip()my_cell=chip.create_cell("A")# Write verilog.writer=db.io.VerilogWriter()writer.write_netlist(chip,"output.v")# Read verilog.reader=db.io.VerilogReader()netlist=reader.read_netlist("output.v")
Package: libreda-python
libreda-pythonWork-in-progressPython binding forlibreda-db.InstallCreate a Python virtual environment:python-mvenvmyPythonEnvsourcemyPythonEnv/bin/activate# Install maturin (build tool for Rust-based Python packages)pipinstallmaturinDownload and install libreda-python:# LibrEDA consists of many Rust libraries. The workspace bundles them together.gitclone--recursivehttps://codeberg.org/LibrEDA/libreda-rs-workspacelibredacdlibreda/libreda-python# Install in development mode.maturindevelopRun a Python shell and importlibreda:pythonimportlibredaasdbchip=db.Chip()my_cell=chip.create_cell("A")# Write verilog.writer=db.io.VerilogWriter()writer.write_netlist(chip,"output.v")# Read verilog.reader=db.io.VerilogReader()netlist=reader.read_netlist("output.v")
Package: libredr
LibreDR is an open-source ray-tracing differentiable renderer[Codeberg Repo][API Document]LibreDR uses client-server-worker structure to better utilize multiple GPUs (or even multiple nodes on a cluster).Some code examples are under examples/ directory.To run server and worker under Linux:Downloadlibredr_linux_*.tra.gzunder[releases].Start server and worker usingexamples/scripts/{server,worker}.shor with your own configuration.Example configurations are inexamples/scripts. Useclinfoto verify OpenCL runtime.To run server and worker under Windows:Downloadlibredr_windows_*.tra.gzunder[releases].Start server and worker usingexamples/scripts/{server,worker}.bator with your own configuration.Example configurations are inexamples/scripts.To run the example Python codes or your own Python codeDownloadlibredr-*.whlunder[releases]and install usingpip install, or install from[PyPI].Run Python example codesexamples/scripts/run_example.{sh,bat}or your own client codes.All the examples tested on the following platforms:OSDeviceDriverDebian Bullseye Linux 6.1.0-0.deb11.7-amd64CPU: Intel Core i7-8550UPoCL v1.6Debian Bullseye Linux 6.1.0-0.deb11.7-amd64GPU: NVIDIA GeForce RTX 3090NVIDIA Proprietary v470.161.03Windows 10 21H2 (OS Build 19044.1288)GPU: AMD Radeon RX 6700 XTAMD Proprietary v22.20.44To build from source codes, check the build script for Linux inexamples/scripts_unix/build/. Docker is used to
build manylinux-compatible wheels.Copyright (c) 2022-2023 Bohan Yu. All rights reserved.LibreDR is free software licensed under GNU Affero General Public License version 3 or latter.