semvec/pypi-packages huggingface dataset:
symetrics 20.0.0
SyMetrics API
Keywords: python, synonymous variants

A package to access SyMetrics database. 
SYMETRICS database is a consolidation of metrics for synonymous variants which were derived from a number of computational tools each of which contributing to 
attribute specific metrics such as synVEP for general functional constraints, spliceAI for splicing effect, SILVA for obtaining GERP++ (phylogenetic related constraints)
CpG/CpG_Exon, dRSCU/RSCU for codon usage and SURF for rna stability. The package also includes a result of the analysis of the influence of each variants exceeding set threshold
per metrics defined constituting to a score assigned to a gene
islpy-windows 2025.2.8
Windows build of islpy (https://github.com/inducer/islpy) - wrapper around isl, an integer set library.
Requires Python: ~=3.10

**This is a Windows build of islpy with pre-compiled binaries.**

Original project: https://github.com/inducer/islpy

This package provides Windows wheels for Python 3.13+. For other platforms or Python versions, use the original ``islpy`` package.

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islpy: Polyhedral Analysis from Python
======================================

.. image:: https://gitlab.tiker.net/inducer/islpy/badges/main/pipeline.svg
    :alt: Gitlab Build Status
    :target: https://gitlab.tiker.net/inducer/islpy/commits/main
.. image:: https://github.com/inducer/islpy/actions/workflows/ci.yml/badge.svg
    :alt: Github Build Status
    :target: https://github.com/inducer/islpy/actions/workflows/ci.yml
.. image:: https://badge.fury.io/py/islpy.svg
    :alt: Python Package Index Release Page
    :target: https://pypi.org/project/islpy/
.. image:: https://zenodo.org/badge/2021524.svg
    :alt: Zenodo DOI for latest release
    :target: https://zenodo.org/badge/latestdoi/2021524

islpy is a Python wrapper around Sven Verdoolaege's `isl
<https://libisl.sourceforge.io/>`__, a library for manipulating sets and
relations of integer points bounded by linear constraints.

Supported operations on sets include

* intersection, union, set difference,
* emptiness check,
* convex hull,
* (integer) affine hull,
* integer projection,
* computing the lexicographic minimum using parametric integer programming,
* coalescing, and
* parametric vertex enumeration.

It also includes an ILP solver based on generalized basis reduction, transitive
closures on maps (which may encode infinite graphs), dependence analysis and
bounds on piecewise step-polynomials.

Islpy comes with comprehensive `documentation <http://documen.tician.de/islpy>`__.

*Requirements:* islpy needs a C++ compiler to build. It can optionally make use
of GMP for support of large integers.

One important thing to know about islpy is that it exposes every function in isl
that is visible in the headers, not just what isl's authors consider its
documented, public API (marked by ``__isl_export``). These (technically)
undocumented functions are marked in the islpy documentation. Many of them are useful
and essential for certain operations, but isl's API stability guarantees do not
apply to them. Use them at your own risk.

Islpy can optionally be built with support for `barvinok <https://repo.or.cz/barvinok.git>`__,
a library for counting the number of integer points in parametric and non-parametric
polytopes. Notably, unlike isl, barvinok is GPL-licensed, so doing so changes
islpy's effective license as well. In addition to islpy's `regular PyPI source
and binary wheel downloads <https://pypi.org/project/islpy/>`__, `Cambridge Yang
<https://github.com/thisiscam>`__ has made available a `package with wheels that
include Barvinok <https://pypi.org/project/islpy-barvinok/>`__.
meta-llama-haystack 2.0.0
Use Llama models via Llama API
Requires Python: >=3.10

# meta-llama-haystack

[![PyPI - Version](https://img.shields.io/pypi/v/meta-llama-haystack.svg)](https://pypi.org/project/meta-llama-haystack)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/meta-llama-haystack.svg)](https://pypi.org/project/meta-llama-haystack)

- [Integration page](https://haystack.deepset.ai/integrations/meta_llama)
- [Changelog](https://github.com/deepset-ai/haystack-core-integrations/blob/main/integrations/meta_llama/CHANGELOG.md)

---

## Contributing

Refer to the general [Contribution Guidelines](https://github.com/deepset-ai/haystack-core-integrations/blob/main/CONTRIBUTING.md).

To run integration tests locally, you need to export the `LLAMA_API_KEY` environment variable.