D7net
Home
Console
Upload
information
Create File
Create Folder
About
Tools
:
/
proc
/
self
/
root
/
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
pylint
/
config
/
Filename :
option.py
back
Copy
# Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html # For details: https://github.com/PyCQA/pylint/blob/main/LICENSE # Copyright (c) https://github.com/PyCQA/pylint/blob/main/CONTRIBUTORS.txt from __future__ import annotations import copy import optparse # pylint: disable=deprecated-module import pathlib import re import warnings from collections.abc import Callable, Sequence from re import Pattern from typing import Any from pylint import utils # pylint: disable=unused-argument def _csv_validator( _: Any, name: str, value: str | list[str] | tuple[str] ) -> Sequence[str]: return utils._check_csv(value) # pylint: disable=unused-argument def _regexp_validator( _: Any, name: str, value: str | re.Pattern[str] ) -> re.Pattern[str]: if hasattr(value, "pattern"): return value # type: ignore[return-value] return re.compile(value) # pylint: disable=unused-argument def _regexp_csv_validator( _: Any, name: str, value: str | list[str] ) -> list[re.Pattern[str]]: return [_regexp_validator(_, name, val) for val in _csv_validator(_, name, value)] def _regexp_paths_csv_validator( _: Any, name: str, value: str | list[Pattern[str]] ) -> list[Pattern[str]]: if isinstance(value, list): return value patterns = [] for val in _csv_validator(_, name, value): patterns.append( re.compile( str(pathlib.PureWindowsPath(val)).replace("\\", "\\\\") + "|" + pathlib.PureWindowsPath(val).as_posix() ) ) return patterns def _choice_validator(choices: list[Any], name: str, value: Any) -> Any: if value not in choices: msg = "option %s: invalid value: %r, should be in %s" raise optparse.OptionValueError(msg % (name, value, choices)) return value def _yn_validator(opt: str, _: str, value: Any) -> bool: if isinstance(value, int): return bool(value) if isinstance(value, str): value = value.lower() if value in {"y", "yes", "true"}: return True if value in {"n", "no", "false"}: return False msg = "option %s: invalid yn value %r, should be in (y, yes, true, n, no, false)" raise optparse.OptionValueError(msg % (opt, value)) def _multiple_choice_validator(choices: list[Any], name: str, value: Any) -> Any: values = utils._check_csv(value) for csv_value in values: if csv_value not in choices: msg = "option %s: invalid value: %r, should be in %s" raise optparse.OptionValueError(msg % (name, csv_value, choices)) return values def _non_empty_string_validator( # pragma: no cover # Unused opt: Any, _: str, value: str ) -> str: if not value: msg = "indent string can't be empty." raise optparse.OptionValueError(msg) return utils._unquote(value) def _multiple_choices_validating_option( # pragma: no cover # Unused opt: optparse.Option, name: str, value: Any ) -> Any: return _multiple_choice_validator( opt.choices, name, value # type: ignore[attr-defined] ) def _py_version_validator(_: Any, name: str, value: Any) -> tuple[int, int, int]: if not isinstance(value, tuple): try: value = tuple(int(val) for val in value.split(".")) except (ValueError, AttributeError): raise optparse.OptionValueError( f"Invalid format for {name}, should be version string. E.g., '3.8'" ) from None return value # type: ignore[no-any-return] VALIDATORS: dict[str, Callable[[Any, str, Any], Any] | Callable[[Any], Any]] = { "string": utils._unquote, "int": int, "float": float, "glob_paths_csv": _csv_validator, "regexp": lambda pattern: re.compile(pattern or ""), "regexp_csv": _regexp_csv_validator, "regexp_paths_csv": _regexp_paths_csv_validator, "csv": _csv_validator, "yn": _yn_validator, "choice": lambda opt, name, value: _choice_validator(opt["choices"], name, value), "confidence": lambda opt, name, value: _multiple_choice_validator( opt["choices"], name, value ), "multiple_choice": lambda opt, name, value: _multiple_choice_validator( opt["choices"], name, value ), "non_empty_string": _non_empty_string_validator, "py_version": _py_version_validator, } def _call_validator(opttype: str, optdict: Any, option: str, value: Any) -> Any: if opttype not in VALIDATORS: raise TypeError(f'Unsupported type "{opttype}"') try: return VALIDATORS[opttype](optdict, option, value) # type: ignore[call-arg] except TypeError: try: return VALIDATORS[opttype](value) # type: ignore[call-arg] except Exception as e: raise optparse.OptionValueError( f"{option} value ({value!r}) should be of type {opttype}" ) from e def _validate(value: Any, optdict: Any, name: str = "") -> Any: """Return a validated value for an option according to its type. optional argument name is only used for error message formatting """ try: _type = optdict["type"] except KeyError: return value return _call_validator(_type, optdict, name, value) # pylint: disable=no-member class Option(optparse.Option): TYPES = optparse.Option.TYPES + ( "glob_paths_csv", "regexp", "regexp_csv", "regexp_paths_csv", "csv", "yn", "confidence", "multiple_choice", "non_empty_string", "py_version", ) ATTRS = optparse.Option.ATTRS + ["hide", "level"] TYPE_CHECKER = copy.copy(optparse.Option.TYPE_CHECKER) TYPE_CHECKER["glob_paths_csv"] = _csv_validator TYPE_CHECKER["regexp"] = _regexp_validator TYPE_CHECKER["regexp_csv"] = _regexp_csv_validator TYPE_CHECKER["regexp_paths_csv"] = _regexp_paths_csv_validator TYPE_CHECKER["csv"] = _csv_validator TYPE_CHECKER["yn"] = _yn_validator TYPE_CHECKER["confidence"] = _multiple_choices_validating_option TYPE_CHECKER["multiple_choice"] = _multiple_choices_validating_option TYPE_CHECKER["non_empty_string"] = _non_empty_string_validator TYPE_CHECKER["py_version"] = _py_version_validator def __init__(self, *opts: Any, **attrs: Any) -> None: # TODO: 3.0: Remove deprecated class warnings.warn( "Option has been deprecated and will be removed in pylint 3.0", DeprecationWarning, stacklevel=2, ) super().__init__(*opts, **attrs) if hasattr(self, "hide") and self.hide: self.help = optparse.SUPPRESS_HELP def _check_choice(self) -> None: if self.type in {"choice", "multiple_choice", "confidence"}: if self.choices is None: # type: ignore[attr-defined] raise optparse.OptionError( "must supply a list of choices for type 'choice'", self ) if not isinstance(self.choices, (tuple, list)): # type: ignore[attr-defined] raise optparse.OptionError( # pylint: disable-next=consider-using-f-string "choices must be a list of strings ('%s' supplied)" % str(type(self.choices)).split("'")[1], # type: ignore[attr-defined] self, ) elif self.choices is not None: # type: ignore[attr-defined] raise optparse.OptionError( f"must not supply choices for type {self.type!r}", self ) optparse.Option.CHECK_METHODS[2] = _check_choice # type: ignore[index] def process( # pragma: no cover # Argparse self, opt: Any, value: Any, values: Any, parser: Any ) -> int: assert isinstance(self.dest, str) if self.callback and self.callback.__module__ == "pylint.lint.run": return 1 # First, convert the value(s) to the right type. Howl if any # value(s) are bogus. value = self.convert_value(opt, value) if self.type == "named": existent = getattr(values, self.dest) if existent: existent.update(value) value = existent # And then take whatever action is expected of us. # This is a separate method to make life easier for # subclasses to add new actions. return self.take_action(self.action, self.dest, opt, value, values, parser)