flan-t5-base-ai-text-seq2seq / hf-env /lib /python3.12 /site-packages /huggingface_hub /utils /_dotenv.py
| # AI-generated module (ChatGPT) | |
| import re | |
| def load_dotenv(dotenv_str: str, environ: dict[str, str] | None = None) -> dict[str, str]: | |
| """ | |
| Parse a DOTENV-format string and return a dictionary of key-value pairs. | |
| Handles quoted values, comments, export keyword, and blank lines. | |
| """ | |
| env: dict[str, str] = {} | |
| line_pattern = re.compile( | |
| r""" | |
| ^\s* | |
| (?:export[^\S\n]+)? # optional export | |
| ([A-Za-z_][A-Za-z0-9_]*) # key | |
| [^\S\n]*(=)?[^\S\n]* | |
| ( # value group | |
| (?: | |
| '(?:\\'|[^'])*' # single-quoted value | |
| | \"(?:\\\"|[^\"])*\" # double-quoted value | |
| | [^#\n\r]+? # unquoted value | |
| ) | |
| )? | |
| [^\S\n]*(?:\#.*)?$ # optional inline comment | |
| """, | |
| re.VERBOSE, | |
| ) | |
| for line in dotenv_str.splitlines(): | |
| line = line.strip() | |
| if not line or line.startswith("#"): | |
| continue # Skip comments and empty lines | |
| match = line_pattern.match(line) | |
| if match: | |
| key = match.group(1) | |
| val = None | |
| if match.group(2): # if there is '=' | |
| raw_val = match.group(3) or "" | |
| val = raw_val.strip() | |
| # Remove surrounding quotes if quoted | |
| if (val.startswith('"') and val.endswith('"')) or (val.startswith("'") and val.endswith("'")): | |
| val = val[1:-1] | |
| val = val.replace(r"\n", "\n").replace(r"\t", "\t").replace(r"\"", '"').replace(r"\\", "\\") | |
| if raw_val.startswith('"'): | |
| val = val.replace(r"\$", "$") # only in double quotes | |
| elif environ is not None: | |
| # Get it from the current environment | |
| val = environ.get(key) | |
| if val is not None: | |
| env[key] = val | |
| return env | |