Metadata-Version: 2.4
Name: raptors
Version: 0.2.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Requires-Dist: hypothesis>=6.140,<7 ; extra == 'dev'
Requires-Dist: maturin==1.14.1 ; extra == 'dev'
Requires-Dist: numpy==2.5.3 ; extra == 'dev'
Requires-Dist: pytest>=9,<10 ; extra == 'dev'
Requires-Dist: twine>=6,<7 ; extra == 'dev'
Provides-Extra: dev
License-File: LICENSE
Summary: A Rust-backed numeric array and dtype foundation
Keywords: numpy,array,scientific-computing,rust
Author: Raptors Contributors
License-Expression: MIT
Requires-Python: >=3.12, <3.15
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: Documentation, https://github.com/eddiethedean/raptors/tree/main/docs
Project-URL: Homepage, https://github.com/eddiethedean/raptors
Project-URL: Issues, https://github.com/eddiethedean/raptors/issues
Project-URL: Repository, https://github.com/eddiethedean/raptors

# Raptors 0.2 numeric foundation

Raptors is a Rust-backed Python array library rebuilding toward NumPy's public
Python functionality through `import raptors as np`. The 0.2 release covers a
numeric array and dtype foundation. It is an explicitly limited subset, not a
general NumPy replacement, and makes no performance claim.

The supported numeric dtypes are `bool`, signed and unsigned 8/16/32/64-bit
integers, `float16`/`float32`/`float64`, `complex64`/`complex128`, and the
platform's `longdouble`/`clongdouble` representations. Dtype aliases, byte
order, alignment, shape, strides, contiguity, casting, promotion, reshape,
transpose, integer/slice/boolean/fancy indexing, broadcast assignment, and
copy behavior are covered by the [0.2 compatibility manifest](../compat/raptors-0.2.json).

```python
import raptors

a = raptors.array([[1, 2], [3, 4]])
column = a[:, 1]
as_float = a.astype(raptors.float32)
```

Construction accepts Python boolean, integer, float, and complex values in
rectangular list/tuple nesting. `zeros` and `empty` allocate numeric arrays in
C or Fortran order. Scalar indexing returns Raptors scalar wrappers, not
NumPy scalar classes; wrappers do not implement full scalar arithmetic or
protocol compatibility.

Arithmetic operators, ufuncs, reductions, datetime/timedelta, object/string/
structured dtypes, NumPy interoperation, foreign buffers, and the NumPy C ABI
remain outside 0.2. NumPy 2.5.3 is used only by the development test suite; the
installed package has no NumPy runtime dependency.

Use CPython 3.12–3.14. Build and test instructions are in [BUILD.md](BUILD.md)
and [TESTING.md](TESTING.md). See the [0.2 release gate](../docs/RELEASE_0_2.md)
for the exact support boundary and verification evidence.

