scitex-types 0.1.2

Scientific type definitions (ArrayLike, ColorLike) and validation

scitex-types

Scientific type definitions (ArrayLike, ColorLike) and validation utilities.

Interfaces: Python ⭐⭐⭐ (primary) · CLI — · MCP — · Skills ⭐ · Hook — · HTTP —

Problem and Solution

#	Problem	Solution
1	numpy.typing.ArrayLike covers only NumPy -- functions that also accept Torch/DataFrame/Series need a hand-rolled Union	ArrayLike, ColorLike -- stable aliases spanning list/tuple/np.ndarray/pd.DataFrame/pd.Series/xr.DataArray/torch.Tensor + matplotlib color inputs
2	Runtime "is this a list of floats?" is a 3-line comprehension	is_array_like(), is_list_of_type(lst, float) -- clear predicates, no isinstance chain

Installation

pip install scitex-types

With optional dependencies:

pip install scitex-types[numpy,pandas]
pip install scitex-types[all]

Usage

from scitex_types import ArrayLike, ColorLike, is_array_like, is_list_of_type

# Type annotations
def process(data: ArrayLike) -> None: ...
def set_color(c: ColorLike) -> None: ...

# Runtime checks
is_array_like([1, 2, 3])           # True
is_list_of_type([1, 2, 3], int)    # True