MUAP_SHAPE__TENSOR#
- myogen.utils.types.MUAP_SHAPE__TENSOR#
Alias of:
Annotated[npt.NDArray[np.floating], Is[lambda x: x.ndim == 5]]
Type Definition
This type alias is defined using beartype validators:
from typing import Annotated import numpy.typing as npt from beartype.vale import Is MUAP_SHAPE__TENSOR = Annotated[ npt.NDArray[np.floating], # or np.bool_ for boolean arrays Is[lambda x: x.ndim == N], # where N is the required dimensions ]
Runtime Type Checking
Use with beartype for automatic validation:
from myogen.utils.types import MUAP_SHAPE__TENSOR from beartype import beartype @beartype def process_muap_data(data: MUAP_SHAPE__TENSOR) -> MUAP_SHAPE__TENSOR: """Process data with automatic shape validation.""" # beartype automatically validates array dimensions return data
Tip
🐻 Beartype Integration: This type uses beartype validators to ensure arrays have the correct number of dimensions at runtime.
Note
📐 Array Validation: The Is[lambda x: x.ndim == N] validator automatically checks that your NumPy arrays have the expected shape for MyoGen operations.