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| @@ -247,7 +247,7 @@ static char Py_source_do_doc[] = "" · 246 unmodified lines | |||
| 247 | "\n" | 247 | "\n" |
| 248 | "Returns\n" | 248 | "Returns\n" |
| 249 | "-------\n" | 249 | "-------\n" |
| 250 | "samples : numpy.ndarray, shape `(hop_size,)`, dtype aubio.float_type\n" | 250 | "samples : numpy.ndarray\n" |
| 251 | " `fvec` of size `hop_size` containing the new samples.\n" | 251 | " `fvec` of size `hop_size` containing the new samples.\n" |
| 252 | "read : int\n" | 252 | "read : int\n" |
| 253 | " Number of samples read from the source, equals to `hop_size`\n" | 253 | " Number of samples read from the source, equals to `hop_size`\n" |
| @@ -283,7 +283,7 @@ static char Py_source_do_multi_doc[] = "" · 29 unmodified lines | |||
| 283 | "\n" | 283 | "\n" |
| 284 | "Returns\n" | 284 | "Returns\n" |
| 285 | "-------\n" | 285 | "-------\n" |
| 286 | "samples : np.ndarray([hop_size, channels], dtype=aubio.float_type)\n" | 286 | "samples : numpy.ndarray\n" |
| 287 | " NumPy array of shape `(hop_size, channels)` containing the new\n" | 287 | " NumPy array of shape `(hop_size, channels)` containing the new\n" |
| 288 | " audio samples.\n" | 288 | " audio samples.\n" |
| 289 | "read : int\n" | 289 | "read : int\n" |