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aider: Fixed docstring of
generate_dummy_segmentation_extractor
to …
…address issues with parameter documentation and formatting. # Aider chat conversation: ASSISTANT: The error message indicates that there are some issues with the docstring of the function `generate_dummy_segmentation_extractor` in the file `src/roiextractors/testing.py`. The issues are as follows: 1. The parameter `rejected_list` is not documented. 2. There are unknown parameters `{'optional', 'rejected_list: list'}`. 3. The parameter "rejected_list" requires a space before the colon separating the parameter name and type. 4. The parameter "optional" has no type. 5. The return value description should finish with "." To fix these issues, we need to modify the docstring of the function `generate_dummy_segmentation_extractor` in the file `src/roiextractors/testing.py`. Here is the proposed change: ```python src/roiextractors/testing.py <<<<<<< HEAD rejected_list: Optional[list] = None, ) -> SegmentationExtractor: """ Generate a dummy segmentation extractor for testing. The segmentation extractor is built by feeding random data into the `NumpySegmentationExtractor`. Parameters ---------- num_rois : int, optional Number of regions of interest, by default 10. num_frames : int, optional Number of frames in the hypothetical video from which the data was extracted, by default 30. num_rows : int, optional Number of rows in the hypothetical video from which the data was extracted, by default 25. num_columns : int, optional Number of columns in the hypothetical video from which the data was extracted, by default 25. sampling_frequency : float, optional Sampling frequency of the hypothetical video from which the data was extracted, by default 30.0. has_summary_images : bool, optional Whether the dummy segmentation extractor has summary images or not (mean and correlation). has_raw_signal : bool, optional Whether a raw fluorescence signal is desired in the object, by default True. has_dff_signal : bool, optional Whether a relative (df/f) fluorescence signal is desired in the object, by default True. has_deconvolved_signal : bool, optional Whether a deconvolved signal is desired in the object, by default True. has_neuropil_signal : bool, optional Whether a neuropil signal is desired in the object, by default True. rejected_list: list, optional A list of rejected rois, None by default. Returns ------- SegmentationExtractor A segmentation extractor with random data fed into `NumpySegmentationExtractor` Notes ----- Note that this dummy example is meant to be a mock object with the right shape, structure and objects but does not contain meaningful content. That is, the image masks matrices are not plausible image mask for a roi, the raw signal is not a meaningful biological signal and is not related appropriately to the deconvolved signal , etc. """ ======= rejected_list: Optional[list] = None, ) -> SegmentationExtractor: """ Generate a dummy segmentation extractor for testing. The segmentation extractor is built by feeding random data into the `NumpySegmentationExtractor`. Parameters ---------- num_rois : int, optional Number of regions of interest, by default 10. num_frames : int, optional Number of frames in the hypothetical video from which the data was extracted, by default 30. num_rows : int, optional Number of rows in the hypothetical video from which the data was extracted, by default 25. num_columns : int, optional Number of columns in the hypothetical video from which the data was extracted, by default 25. sampling_frequency : float, optional Sampling frequency of the hypothetical video from which the data was extracted, by default 30.0. has_summary_images : bool, optional Whether the dummy segmentation extractor has summary images or not (mean and correlation). has_raw_signal : bool, optional Whether a raw fluorescence signal is desired in the object, by default True. has_dff_signal : bool, optional Whether a relative (df/f) fluorescence signal is desired in the object, by default True. has_deconvolved_signal : bool, optional Whether a deconvolved signal is desired in the object, by default True. has_neuropil_signal : bool, optional Whether a neuropil signal is desired in the object, by default True. rejected_list : list, optional A list of rejected rois, None by default. Returns ------- SegmentationExtractor A segmentation extractor with random data fed into `NumpySegmentationExtractor`. Notes ----- Note that this dummy example is meant to be a mock object with the right shape, structure and objects but does not contain meaningful content. That is, the image masks matrices are not plausible image mask for a roi, the raw signal is not a meaningful biological signal and is not related appropriately to the deconvolved signal , etc. """ >>>>>>> updated ```
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