blosc2.lazyudf#
- blosc2.lazyudf(func, inputs, dtype, chunked_eval=True, **kwargs)#
Get a LazyUDF from a python user-defined function.
- Parameters:
func¶ (Python function) – User defined function to apply to each block. This function will always receive the same parameters: inputs_tuple, output and offset. The first one will contain the corresponding slice for the block of each input in
inputs. The second, the buffer to be filled as a multidimensional numpy.ndarray. And the third one, the multidimensional offset corresponding to the start of the block that it is being computed.inputs¶ (tuple or list) – The sequence of inputs. The supported inputs are NumPy.ndarray, Python scalars, NDArray, NDField or C2Array.
dtype¶ (np.dtype) – The resulting ndarray dtype in NumPy format.
chunked_eval¶ (bool, optional) – Whether to evaluate the expression in chunks or not (blocks).
kwargs¶ (dict, optional) – Keyword arguments that are supported by the
empty()constructor. These arguments will be used by theLazyArray.__getitem__()andLazyArray.eval()methods. The last one will ignore the urlpath parameter passed in this function.
- Returns:
out – A LazyUDF is returned.
- Return type: