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Multidimensional array operations and numerical linear algebra for scientific Python.

Property-based testing tools that generate and simplify test inputs.

Numerical routines for integration, differential equations, optimization, transforms, and statistical analysis.

Training and inference orchestration for studying device placement, mixed precision and distributed execution without changing the scientific objective.

Multi-environment agent benchmark repository for investigating task adapters and evaluation consistency.

Experiment tracking and comparison tooling for inspecting metric histories and run metadata.

Volatility modeling, time-series tests, and resampling tools for econometric analysis.

Diagnostics, summaries, and visualization support for Bayesian inference results.

Astronomical computation tools for units, coordinates, time, tables, and data formats.

A formula-based interface for Bayesian regression and hierarchical models.

Bayesian optimization for bounded black-box objective functions.

Evaluation harness for code language models with task-specific generation and execution workflows.