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Download utils.py from flavienbwk/example-dummy-evaluation: direct link, hf CLI and curl.
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https://huggingface.co/spaces/flavienbwk/example-dummy-evaluation/resolve/main/utils.py
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curl -L -o utils.py https://huggingface.co/spaces/flavienbwk/example-dummy-evaluation/resolve/main/utils.py
1.52 kB
| # EvalifAI © tutorial | |
| from typing import List, AnyStr | |
| from pathlib import Path | |
| import json | |
| import os | |
| def create_directory(path): | |
| path = str(path) | |
| if os.path.exists(path) is False: | |
| try: | |
| os.makedirs(path) | |
| except OSError: | |
| return False | |
| return True | |
| def list_rglob_files(source_dir: str, patterns: list) -> List[AnyStr]: | |
| """Returns a list of files in source_dir matching patterns | |
| Author: Flavien BERWICK | |
| Args: | |
| source_dir (str): | |
| Path to the directory in which looking for files | |
| patterns list(str): | |
| List of string patterns to match files in source_dir. | |
| E.g: ["*.txt", "*.csv"] | |
| Returns: | |
| list(str): files path found | |
| """ | |
| all_files = [] | |
| for pattern in patterns: | |
| files = [] | |
| for filename in Path(source_dir).rglob(pattern): | |
| path_data = Path(filename) | |
| basename = path_data.name | |
| parent_directory = str(path_data.parent).replace(source_dir, "") | |
| files.append(f"{source_dir}/{parent_directory}{basename}") | |
| all_files.extend(files) | |
| return all_files | |
| def load_json_file(json_file_path): | |
| if os.path.exists(json_file_path) is False: | |
| print(f"No such file {json_file_path}") | |
| return False | |
| with open(json_file_path, "r") as json_file: | |
| json_content_file = json_file.read() | |
| json_element = json.loads(json_content_file) | |
| if json_element: | |
| return json_element | |
| return False | |