Therefore, I want to know if there is a direct and efficient way to achieve the requirement: Converting a list composed of multiple multi-dimensional halffloat numpy arrays of different shapes into ...

"It is a fixed-sized array in memory that contains data of the same type, such as integers or floating point values.\n", "The data type supported by an array can be accessed via the “dtype” attribute ...

Here’s an example of a Cython function declaration that takes in a two-dimensional NumPy array: def compute(int[:, ::1] array_1): In Cython’s “pure Python” syntax, you’d use this annotation: ...