SURFACE_EMG__TENSOR#
- myogen.utils.types.SURFACE_EMG__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 SURFACE_EMG__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 SURFACE_EMG__TENSOR from beartype import beartype @beartype def process_surface_data(data: SURFACE_EMG__TENSOR) -> SURFACE_EMG__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.