39 lines
1.7 KiB
Python
39 lines
1.7 KiB
Python
import numpy as np
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import inspect
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def validate_array_shape(array: np.ndarray, min_height: int = None, min_width: int = None, help: str = ""):
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"""
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Validates that the given array has sufficient dimensions for the specified minimum height and width.
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Parameters:
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array (np.ndarray): The input array to validate.
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min_height (int, optional): The minimum required size for the array's first dimension (height). Defaults to None.
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min_width (int, optional): The minimum required size for the array's second dimension (width). Defaults to None.
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help (int, optional): Message appended to the raised exception. Defaults to empty string.
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Raises:
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ValueError: If the array's dimensions do not meet the required conditions.
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"""
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valid_height = min_height is None or array.shape[0] >= min_height
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valid_width = min_width is None or array.shape[1] >= min_width
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if not (valid_height and valid_width):
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# Only fetch the variable name if an exception is going to be raised
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caller_frame = inspect.currentframe().f_back
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array_name = None
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for var_name, var_val in caller_frame.f_locals.items():
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if var_val is array:
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array_name = var_name
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break
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array_name = array_name if array_name else "Array"
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if not valid_height and min_height is not None:
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raise ValueError(f"The operation requires an height of {min_height},"
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f" but {array_name} only has {array.shape[0]}.\n{help}")
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if not valid_width and min_width is not None:
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raise ValueError(f"The operation requires a width of {min_width},"
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f" but {array_name} only has {array.shape[1]}.\n{help}")
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