h0rton.tdlmc_utils.tdlmc_parser¶
Module Contents¶
Functions¶
format_results_for_tdlmc_metrics(version_dir, out_dir, rung_id=2) |
Format the BNN inference results so they can be read into the script that |
read_from_csv(csv_path) |
Read a Pandas Dataframe from the combined csv file of TDLMC data while |
convert_to_dataframe(rung, save_csv_path) |
Store the TDLMC closed and open boxes into a Pandas DataFrame and exports |
parse_closed_box(closed_box_path, row_dict=dict()) |
Parse the lines of an open-box TDLMX text file for Rungs 0, 1, and 2 |
parse_open_box(open_box_path, row_dict=dict()) |
Parse the lines of an open-box TDLMX text file for Rungs 0, 1, and 2 |
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h0rton.tdlmc_utils.tdlmc_parser.format_results_for_tdlmc_metrics(version_dir, out_dir, rung_id=2)[source]¶ Format the BNN inference results so they can be read into the script that generates the TDLMC metrics cornerplot
- version_dir : str or os.path object
- path to the folder containing inference results
- rung_id : int
- TDLMC rung ID
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h0rton.tdlmc_utils.tdlmc_parser.read_from_csv(csv_path)[source]¶ Read a Pandas Dataframe from the combined csv file of TDLMC data while evaluating all the relevant strings in each column as Python objects
- csv_path : str
- path to the csv file generated using convert_to_dataframe
- Pandas DataFrame
- the TDLMC data with correct Python objects
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h0rton.tdlmc_utils.tdlmc_parser.convert_to_dataframe(rung, save_csv_path)[source]¶ Store the TDLMC closed and open boxes into a Pandas DataFrame and exports to a csv file at the same location
- rung : int
- rung number
- save_csv_path : str
- path of the csv file to be generated
- Pandas DataFrame
- the extracted rung data
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h0rton.tdlmc_utils.tdlmc_parser.parse_closed_box(closed_box_path, row_dict=dict())[source]¶ Parse the lines of an open-box TDLMX text file for Rungs 0, 1, and 2
- closed_box_path : str
- path to the closed box text file, lens_info_for_Good_team.txt.txt
- row_dict : dict
- dictionary of the row info to update. Default: dict()
- dict
- An updated dictionary containing the information in the closed box text file
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h0rton.tdlmc_utils.tdlmc_parser.parse_open_box(open_box_path, row_dict=dict())[source]¶ Parse the lines of an open-box TDLMX text file for Rungs 0, 1, and 2
- open_box_path : str
- path to the open box text file, lens_all_info.txt
- row_dict : dict
- dictionary of the row info to update. Default: dict()
- dict
- An updated dictionary containing the information in the open box text file