generate_numba_table_func(kwargs: 'dict[str, Any]', func: 'Callable[..., np.ndarray]', engine_kwargs: 'dict[str, bool] | None', name: 'str')
Func will be passed a M window size x N number of columns array, and must return a 1 x N number of columns array. Func is intended to operate row-wise, but the result will be transposed for axis=1.
jit the user's function
Return a rolling apply function with the jitted function inline
**kwargs to be passed into the function
function to be applied to each window and will be JITed
dictionary of arguments to be passed into numba.jit
caller (Rolling/Expanding) and original method name for numba cache key
Generate a numba jitted function to apply window calculations table-wise.
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