e input line is extended appropriately according to the filter size and origin. The output line must be modified in-place with the result. Parameters ---------- %(input)s function : {callable, scipy.LowLevelCallable} Function to apply along given axis. filter_size : scalar Length of the filter. %(axis)s %(output)s %(mode_reflect)s %(cval)s %(origin)s %(extra_arguments)s %(extra_keywords)s Returns ------- generic_filter1d : ndarray Filtered array. Has the same shape as `input`. Notes ----- This function also accepts low-level callback functions with one of the following signatures and wrapped in `scipy.LowLevelCallable`: .. code:: c int function(double *input_line, npy_intp input_length, double *output_line, npy_intp output_length, void *user_data) int function(double *input_line, intptr_t input_length, double *output_line, intptr_t output_length, void *user_data) The calling function iterates over the lines of the input and output arrays, calling the callback function at each line. The current line is extended according to the border conditions set by the calling function, and the result is copied into the array that is passed through ``input_line``. The length of the input line (after extension) is passed through ``input_length``. The callback function should apply the filter and store the result in the array passed through ``output_line``. The length of the output line is passed through ``output_length``. ``user_data`` is the data pointer provided to `scipy.LowLevelCallable` as-is. The callback function must return an integer error status that is zero if something went wrong and one otherwise. If an error occurs, you should normally set the python error status with an informative message before returning, otherwise a default error message is set by the calling function. In addition, some other low-level function pointer specifications are accepted, but these are for backward compatibility only and should not be used in new code. rĪ