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# Copyright 2013-2021 The Meson development team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .. import mesonlib, mlog
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from .baseobjects import TV_func, TYPE_var
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from .disabler import Disabler
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from .exceptions import InterpreterException, InvalidArguments
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from .helpers import check_stringlist, get_callee_args
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from ._unholder import _unholder
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from functools import wraps
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import abc
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import itertools
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import typing as T
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def noPosargs(f: TV_func) -> TV_func:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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args = get_callee_args(wrapped_args)[2]
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if args:
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raise InvalidArguments('Function does not take positional arguments.')
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return f(*wrapped_args, **wrapped_kwargs)
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return T.cast(TV_func, wrapped)
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def builtinMethodNoKwargs(f: TV_func) -> TV_func:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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node = wrapped_args[0].current_node
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method_name = wrapped_args[2]
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kwargs = wrapped_args[4]
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if kwargs:
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mlog.warning(f'Method {method_name!r} does not take keyword arguments.',
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'This will become a hard error in the future',
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location=node)
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return f(*wrapped_args, **wrapped_kwargs)
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return T.cast(TV_func, wrapped)
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def noKwargs(f: TV_func) -> TV_func:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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kwargs = get_callee_args(wrapped_args)[3]
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if kwargs:
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raise InvalidArguments('Function does not take keyword arguments.')
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return f(*wrapped_args, **wrapped_kwargs)
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return T.cast(TV_func, wrapped)
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def stringArgs(f: TV_func) -> TV_func:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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args = get_callee_args(wrapped_args)[2]
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assert(isinstance(args, list))
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check_stringlist(args)
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return f(*wrapped_args, **wrapped_kwargs)
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return T.cast(TV_func, wrapped)
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def noArgsFlattening(f: TV_func) -> TV_func:
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setattr(f, 'no-args-flattening', True) # noqa: B010
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return f
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def unholder_return(f: TV_func) -> T.Callable[..., TYPE_var]:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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res = f(*wrapped_args, **wrapped_kwargs)
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return _unholder(res)
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return T.cast(T.Callable[..., TYPE_var], wrapped)
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def disablerIfNotFound(f: TV_func) -> TV_func:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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kwargs = get_callee_args(wrapped_args)[3]
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disabler = kwargs.pop('disabler', False)
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ret = f(*wrapped_args, **wrapped_kwargs)
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if disabler and not ret.found():
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return Disabler()
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return ret
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return T.cast(TV_func, wrapped)
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class permittedKwargs:
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def __init__(self, permitted: T.Set[str]):
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self.permitted = permitted # type: T.Set[str]
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def __call__(self, f: TV_func) -> TV_func:
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@wraps(f)
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def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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s, node, args, kwargs, _ = get_callee_args(wrapped_args)
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for k in kwargs:
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if k not in self.permitted:
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mlog.warning(f'''Passed invalid keyword argument "{k}".''', location=node)
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mlog.warning('This will become a hard error in the future.')
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return f(*wrapped_args, **wrapped_kwargs)
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return T.cast(TV_func, wrapped)
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def typed_pos_args(name: str, *types: T.Union[T.Type, T.Tuple[T.Type, ...]],
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varargs: T.Optional[T.Union[T.Type, T.Tuple[T.Type, ...]]] = None,
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optargs: T.Optional[T.List[T.Union[T.Type, T.Tuple[T.Type, ...]]]] = None,
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min_varargs: int = 0, max_varargs: int = 0) -> T.Callable[..., T.Any]:
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"""Decorator that types type checking of positional arguments.
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This supports two different models of optional aguments, the first is the
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variadic argument model. Variadic arguments are a possibly bounded,
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possibly unbounded number of arguments of the same type (unions are
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supported). The second is the standard default value model, in this case
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a number of optional arguments may be provided, but they are still
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ordered, and they may have different types.
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This function does not support mixing variadic and default arguments.
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:name: The name of the decorated function (as displayed in error messages)
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:varargs: They type(s) of any variadic arguments the function takes. If
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None the function takes no variadic args
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:min_varargs: the minimum number of variadic arguments taken
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:max_varargs: the maximum number of variadic arguments taken. 0 means unlimited
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:optargs: The types of any optional arguments parameters taken. If None
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then no optional paramters are taken.
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Some examples of usage blow:
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>>> @typed_pos_args('mod.func', str, (str, int))
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... def func(self, state: ModuleState, args: T.Tuple[str, T.Union[str, int]], kwargs: T.Dict[str, T.Any]) -> T.Any:
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... pass
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>>> @typed_pos_args('method', str, varargs=str)
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... def method(self, node: BaseNode, args: T.Tuple[str, T.List[str]], kwargs: T.Dict[str, T.Any]) -> T.Any:
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... pass
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>>> @typed_pos_args('method', varargs=str, min_varargs=1)
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... def method(self, node: BaseNode, args: T.Tuple[T.List[str]], kwargs: T.Dict[str, T.Any]) -> T.Any:
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... pass
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>>> @typed_pos_args('method', str, optargs=[(str, int), str])
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... def method(self, node: BaseNode, args: T.Tuple[str, T.Optional[T.Union[str, int]], T.Optional[str]], kwargs: T.Dict[str, T.Any]) -> T.Any:
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... pass
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When should you chose `typed_pos_args('name', varargs=str,
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min_varargs=1)` vs `typed_pos_args('name', str, varargs=str)`?
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The answer has to do with the semantics of the function, if all of the
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inputs are the same type (such as with `files()`) then the former is
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correct, all of the arguments are string names of files. If the first
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argument is something else the it should be separated.
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"""
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def inner(f: TV_func) -> TV_func:
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@wraps(f)
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def wrapper(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
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args = get_callee_args(wrapped_args)[2]
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# These are implementation programming errors, end users should never see them.
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assert isinstance(args, list), args
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assert max_varargs >= 0, 'max_varags cannot be negative'
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assert min_varargs >= 0, 'min_varags cannot be negative'
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assert optargs is None or varargs is None, \
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'varargs and optargs not supported together as this would be ambiguous'
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num_args = len(args)
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num_types = len(types)
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a_types = types
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if varargs:
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min_args = num_types + min_varargs
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max_args = num_types + max_varargs
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if max_varargs == 0 and num_args < min_args:
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raise InvalidArguments(f'{name} takes at least {min_args} arguments, but got {num_args}.')
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elif max_varargs != 0 and (num_args < min_args or num_args > max_args):
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raise InvalidArguments(f'{name} takes between {min_args} and {max_args} arguments, but got {num_args}.')
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elif optargs:
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if num_args < num_types:
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raise InvalidArguments(f'{name} takes at least {num_types} arguments, but got {num_args}.')
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elif num_args > num_types + len(optargs):
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raise InvalidArguments(f'{name} takes at most {num_types + len(optargs)} arguments, but got {num_args}.')
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# Add the number of positional arguments required
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if num_args > num_types:
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diff = num_args - num_types
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a_types = tuple(list(types) + list(optargs[:diff]))
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elif num_args != num_types:
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raise InvalidArguments(f'{name} takes exactly {num_types} arguments, but got {num_args}.')
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for i, (arg, type_) in enumerate(itertools.zip_longest(args, a_types, fillvalue=varargs), start=1):
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if not isinstance(arg, type_):
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if isinstance(type_, tuple):
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shouldbe = 'one of: {}'.format(", ".join(f'"{t.__name__}"' for t in type_))
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else:
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shouldbe = f'"{type_.__name__}"'
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raise InvalidArguments(f'{name} argument {i} was of type "{type(arg).__name__}" but should have been {shouldbe}')
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# Ensure that we're actually passing a tuple.
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# Depending on what kind of function we're calling the length of
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# wrapped_args can vary.
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nargs = list(wrapped_args)
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i = nargs.index(args)
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if varargs:
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# if we have varargs we need to split them into a separate
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# tuple, as python's typing doesn't understand tuples with
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# fixed elements and variadic elements, only one or the other.
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# so in that case we need T.Tuple[int, str, float, T.Tuple[str, ...]]
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pos = args[:len(types)]
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var = list(args[len(types):])
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pos.append(var)
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nargs[i] = tuple(pos)
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elif optargs:
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if num_args < num_types + len(optargs):
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diff = num_types + len(optargs) - num_args
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nargs[i] = tuple(list(args) + [None] * diff)
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else:
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nargs[i] = args
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else:
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nargs[i] = tuple(args)
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return f(*nargs, **wrapped_kwargs)
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return T.cast(TV_func, wrapper)
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return inner
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class ContainerTypeInfo:
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"""Container information for keyword arguments.
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For keyword arguments that are containers (list or dict), this class encodes
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that information.
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:param container: the type of container
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:param contains: the types the container holds
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:param pairs: if the container is supposed to be of even length.
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This is mainly used for interfaces that predate the addition of dictionaries, and use
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`[key, value, key2, value2]` format.
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:param allow_empty: Whether this container is allowed to be empty
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There are some cases where containers not only must be passed, but must
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not be empty, and other cases where an empty container is allowed.
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"""
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def __init__(self, container: T.Type, contains: T.Union[T.Type, T.Tuple[T.Type, ...]], *,
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pairs: bool = False, allow_empty: bool = True) :
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self.container = container
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self.contains = contains
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self.pairs = pairs
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self.allow_empty = allow_empty
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def check(self, value: T.Any) -> T.Optional[str]:
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"""Check that a value is valid.
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:param value: A value to check
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:return: If there is an error then a string message, otherwise None
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"""
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if not isinstance(value, self.container):
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return f'container type was "{type(value).__name__}", but should have been "{self.container.__name__}"'
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iter_ = iter(value.values()) if isinstance(value, dict) else iter(value)
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for each in iter_:
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if not isinstance(each, self.contains):
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if isinstance(self.contains, tuple):
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shouldbe = 'one of: {}'.format(", ".join(f'"{t.__name__}"' for t in self.contains))
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else:
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shouldbe = f'"{self.contains.__name__}"'
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return f'contained a value of type "{type(each).__name__}" but should have been {shouldbe}'
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if self.pairs and len(value) % 2 != 0:
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return 'container should be of even length, but is not'
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if not value and not self.allow_empty:
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return 'container is empty, but not allowed to be'
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return None
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_T = T.TypeVar('_T')
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class _NULL_T:
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"""Special null type for evolution, this is an implementation detail."""
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_NULL = _NULL_T()
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class KwargInfo(T.Generic[_T]):
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"""A description of a keyword argument to a meson function
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This is used to describe a value to the :func:typed_kwargs function.
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:param name: the name of the parameter
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:param types: A type or tuple of types that are allowed, or a :class:ContainerType
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:param required: Whether this is a required keyword argument. defaults to False
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:param listify: If true, then the argument will be listified before being
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checked. This is useful for cases where the Meson DSL allows a scalar or
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a container, but internally we only want to work with containers
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:param default: A default value to use if this isn't set. defaults to None,
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this may be safely set to a mutable type, as long as that type does not
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itself contain mutable types, typed_kwargs will copy the default
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:param since: Meson version in which this argument has been added. defaults to None
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:param deprecated: Meson version in which this argument has been deprecated. defaults to None
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:param validator: A callable that does additional validation. This is mainly
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intended for cases where a string is expected, but only a few specific
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values are accepted. Must return None if the input is valid, or a
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message if the input is invalid
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:param convertor: A callable that converts the raw input value into a
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different type. This is intended for cases such as the meson DSL using a
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string, but the implementation using an Enum. This should not do
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validation, just converstion.
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:param deprecated_values: a dictionary mapping a value to the version of
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meson it was deprecated in.
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:param since_values: a dictionary mapping a value to the version of meson it was
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added in.
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:param not_set_warning: A warning messsage that is logged if the kwarg is not
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set by the user.
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"""
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def __init__(self, name: str, types: T.Union[T.Type[_T], T.Tuple[T.Type[_T], ...], ContainerTypeInfo],
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*, required: bool = False, listify: bool = False,
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default: T.Optional[_T] = None,
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since: T.Optional[str] = None,
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since_values: T.Optional[T.Dict[str, str]] = None,
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deprecated: T.Optional[str] = None,
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deprecated_values: T.Optional[T.Dict[str, str]] = None,
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validator: T.Optional[T.Callable[[_T], T.Optional[str]]] = None,
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convertor: T.Optional[T.Callable[[_T], TYPE_var]] = None,
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not_set_warning: T.Optional[str] = None):
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|
|
|
self.name = name
|
|
|
|
self.types = types
|
|
|
|
self.required = required
|
|
|
|
self.listify = listify
|
|
|
|
self.default = default
|
|
|
|
self.since_values = since_values
|
|
|
|
self.since = since
|
|
|
|
self.deprecated = deprecated
|
|
|
|
self.deprecated_values = deprecated_values
|
|
|
|
self.validator = validator
|
|
|
|
self.convertor = convertor
|
|
|
|
self.not_set_warning = not_set_warning
|
|
|
|
|
|
|
|
def evolve(self, *,
|
|
|
|
required: T.Union[bool, _NULL_T] = _NULL,
|
|
|
|
listify: T.Union[bool, _NULL_T] = _NULL,
|
|
|
|
default: T.Union[_T, None, _NULL_T] = _NULL,
|
|
|
|
since: T.Union[str, None, _NULL_T] = _NULL,
|
|
|
|
since_values: T.Union[T.Dict[str, str], None, _NULL_T] = _NULL,
|
|
|
|
deprecated: T.Union[str, None, _NULL_T] = _NULL,
|
|
|
|
deprecated_values: T.Union[T.Dict[str, str], None, _NULL_T] = _NULL,
|
|
|
|
validator: T.Union[T.Callable[[_T], T.Optional[str]], None, _NULL_T] = _NULL,
|
|
|
|
convertor: T.Union[T.Callable[[_T], TYPE_var], None, _NULL_T] = _NULL) -> 'KwargInfo':
|
|
|
|
"""Create a shallow copy of this KwargInfo, with modifications.
|
|
|
|
|
|
|
|
This allows us to create a new copy of a KwargInfo with modifications.
|
|
|
|
This allows us to use a shared kwarg that implements complex logic, but
|
|
|
|
has slight differences in usage, such as being added to different
|
|
|
|
functions in different versions of Meson.
|
|
|
|
|
|
|
|
The use the _NULL special value here allows us to pass None, which has
|
|
|
|
meaning in many of these cases. _NULL itself is never stored, always
|
|
|
|
being replaced by either the copy in self, or the provided new version.
|
|
|
|
"""
|
|
|
|
return type(self)(
|
|
|
|
self.name,
|
|
|
|
self.types,
|
|
|
|
listify=listify if not isinstance(listify, _NULL_T) else self.listify,
|
|
|
|
required=required if not isinstance(required, _NULL_T) else self.required,
|
|
|
|
default=default if not isinstance(default, _NULL_T) else self.default,
|
|
|
|
since=since if not isinstance(since, _NULL_T) else self.since,
|
|
|
|
since_values=since_values if not isinstance(since_values, _NULL_T) else self.since_values,
|
|
|
|
deprecated=deprecated if not isinstance(deprecated, _NULL_T) else self.deprecated,
|
|
|
|
deprecated_values=deprecated_values if not isinstance(deprecated_values, _NULL_T) else self.deprecated_values,
|
|
|
|
validator=validator if not isinstance(validator, _NULL_T) else self.validator,
|
|
|
|
convertor=convertor if not isinstance(convertor, _NULL_T) else self.convertor,
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def typed_kwargs(name: str, *types: KwargInfo) -> T.Callable[..., T.Any]:
|
|
|
|
"""Decorator for type checking keyword arguments.
|
|
|
|
|
|
|
|
Used to wrap a meson DSL implementation function, where it checks various
|
|
|
|
things about keyword arguments, including the type, and various other
|
|
|
|
information. For non-required values it sets the value to a default, which
|
|
|
|
means the value will always be provided.
|
|
|
|
|
|
|
|
If type tyhpe is a :class:ContainerTypeInfo, then the default value will be
|
|
|
|
passed as an argument to the container initializer, making a shallow copy
|
|
|
|
|
|
|
|
:param name: the name of the function, including the object it's attached ot
|
|
|
|
(if applicable)
|
|
|
|
:param *types: KwargInfo entries for each keyword argument.
|
|
|
|
"""
|
|
|
|
def inner(f: TV_func) -> TV_func:
|
|
|
|
|
|
|
|
@wraps(f)
|
|
|
|
def wrapper(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
|
|
|
|
kwargs, subproject = get_callee_args(wrapped_args, want_subproject=True)[3:5]
|
|
|
|
|
|
|
|
all_names = {t.name for t in types}
|
|
|
|
unknowns = set(kwargs).difference(all_names)
|
|
|
|
if unknowns:
|
|
|
|
# Warn about unknown argumnts, delete them and continue. This
|
|
|
|
# keeps current behavior
|
|
|
|
ustr = ', '.join([f'"{u}"' for u in sorted(unknowns)])
|
|
|
|
mlog.warning(f'{name} got unknown keyword arguments {ustr}')
|
|
|
|
for u in unknowns:
|
|
|
|
del kwargs[u]
|
|
|
|
|
|
|
|
for info in types:
|
|
|
|
value = kwargs.get(info.name)
|
|
|
|
if value is not None:
|
|
|
|
if info.since:
|
|
|
|
feature_name = info.name + ' arg in ' + name
|
|
|
|
FeatureNew.single_use(feature_name, info.since, subproject)
|
|
|
|
if info.deprecated:
|
|
|
|
feature_name = info.name + ' arg in ' + name
|
|
|
|
FeatureDeprecated.single_use(feature_name, info.deprecated, subproject)
|
|
|
|
if info.listify:
|
|
|
|
kwargs[info.name] = value = mesonlib.listify(value)
|
|
|
|
if isinstance(info.types, ContainerTypeInfo):
|
|
|
|
msg = info.types.check(value)
|
|
|
|
if msg is not None:
|
|
|
|
raise InvalidArguments(f'{name} keyword argument "{info.name}" {msg}')
|
|
|
|
else:
|
|
|
|
if not isinstance(value, info.types):
|
|
|
|
if isinstance(info.types, tuple):
|
|
|
|
shouldbe = 'one of: {}'.format(", ".join(f'"{t.__name__}"' for t in info.types))
|
|
|
|
else:
|
|
|
|
shouldbe = f'"{info.types.__name__}"'
|
|
|
|
raise InvalidArguments(f'{name} keyword argument "{info.name}"" was of type "{type(value).__name__}" but should have been {shouldbe}')
|
|
|
|
|
|
|
|
if info.validator is not None:
|
|
|
|
msg = info.validator(value)
|
|
|
|
if msg is not None:
|
|
|
|
raise InvalidArguments(f'{name} keyword argument "{info.name}" {msg}')
|
|
|
|
|
|
|
|
warn: bool
|
|
|
|
if info.deprecated_values is not None:
|
|
|
|
for n, version in info.deprecated_values.items():
|
|
|
|
if isinstance(value, (dict, list)):
|
|
|
|
warn = n in value
|
|
|
|
else:
|
|
|
|
warn = n == value
|
|
|
|
|
|
|
|
if warn:
|
|
|
|
FeatureDeprecated.single_use(f'"{name}" keyword argument "{info.name}" value "{n}"', version, subproject)
|
|
|
|
|
|
|
|
if info.since_values is not None:
|
|
|
|
for n, version in info.since_values.items():
|
|
|
|
if isinstance(value, (dict, list)):
|
|
|
|
warn = n in value
|
|
|
|
else:
|
|
|
|
warn = n == value
|
|
|
|
|
|
|
|
if warn:
|
|
|
|
FeatureNew.single_use(f'"{name}" keyword argument "{info.name}" value "{n}"', version, subproject)
|
|
|
|
|
|
|
|
elif info.required:
|
|
|
|
raise InvalidArguments(f'{name} is missing required keyword argument "{info.name}"')
|
|
|
|
else:
|
|
|
|
# set the value to the default, this ensuring all kwargs are present
|
|
|
|
# This both simplifies the typing checking and the usage
|
|
|
|
# Create a shallow copy of the container (and do a type
|
|
|
|
# conversion if necessary). This allows mutable types to
|
|
|
|
# be used safely as default values
|
|
|
|
if isinstance(info.types, ContainerTypeInfo):
|
|
|
|
kwargs[info.name] = info.types.container(info.default)
|
|
|
|
else:
|
|
|
|
kwargs[info.name] = info.default
|
|
|
|
if info.not_set_warning:
|
|
|
|
mlog.warning(info.not_set_warning)
|
|
|
|
|
|
|
|
if info.convertor:
|
|
|
|
kwargs[info.name] = info.convertor(kwargs[info.name])
|
|
|
|
|
|
|
|
return f(*wrapped_args, **wrapped_kwargs)
|
|
|
|
return T.cast(TV_func, wrapper)
|
|
|
|
return inner
|
|
|
|
|
|
|
|
|
|
|
|
class FeatureCheckBase(metaclass=abc.ABCMeta):
|
|
|
|
"Base class for feature version checks"
|
|
|
|
|
|
|
|
# In python 3.6 we can just forward declare this, but in 3.5 we can't
|
|
|
|
# This will be overwritten by the subclasses by necessity
|
|
|
|
feature_registry = {} # type: T.ClassVar[T.Dict[str, T.Dict[str, T.Set[str]]]]
|
|
|
|
|
|
|
|
def __init__(self, feature_name: str, version: str, extra_message: T.Optional[str] = None):
|
|
|
|
self.feature_name = feature_name # type: str
|
|
|
|
self.feature_version = version # type: str
|
|
|
|
self.extra_message = extra_message or '' # type: str
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
def get_target_version(subproject: str) -> str:
|
|
|
|
# Don't do any checks if project() has not been parsed yet
|
|
|
|
if subproject not in mesonlib.project_meson_versions:
|
|
|
|
return ''
|
|
|
|
return mesonlib.project_meson_versions[subproject]
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
@abc.abstractmethod
|
|
|
|
def check_version(target_version: str, feature_Version: str) -> bool:
|
|
|
|
pass
|
|
|
|
|
|
|
|
def use(self, subproject: str) -> None:
|
|
|
|
tv = self.get_target_version(subproject)
|
|
|
|
# No target version
|
|
|
|
if tv == '':
|
|
|
|
return
|
|
|
|
# Target version is new enough
|
|
|
|
if self.check_version(tv, self.feature_version):
|
|
|
|
return
|
|
|
|
# Feature is too new for target version, register it
|
|
|
|
if subproject not in self.feature_registry:
|
|
|
|
self.feature_registry[subproject] = {self.feature_version: set()}
|
|
|
|
register = self.feature_registry[subproject]
|
|
|
|
if self.feature_version not in register:
|
|
|
|
register[self.feature_version] = set()
|
|
|
|
if self.feature_name in register[self.feature_version]:
|
|
|
|
# Don't warn about the same feature multiple times
|
|
|
|
# FIXME: This is needed to prevent duplicate warnings, but also
|
|
|
|
# means we won't warn about a feature used in multiple places.
|
|
|
|
return
|
|
|
|
register[self.feature_version].add(self.feature_name)
|
|
|
|
self.log_usage_warning(tv)
|
|
|
|
|
|
|
|
@classmethod
|
|
|
|
def report(cls, subproject: str) -> None:
|
|
|
|
if subproject not in cls.feature_registry:
|
|
|
|
return
|
|
|
|
warning_str = cls.get_warning_str_prefix(cls.get_target_version(subproject))
|
|
|
|
fv = cls.feature_registry[subproject]
|
|
|
|
for version in sorted(fv.keys()):
|
|
|
|
warning_str += '\n * {}: {}'.format(version, fv[version])
|
|
|
|
mlog.warning(warning_str)
|
|
|
|
|
|
|
|
def log_usage_warning(self, tv: str) -> None:
|
|
|
|
raise InterpreterException('log_usage_warning not implemented')
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
def get_warning_str_prefix(tv: str) -> str:
|
|
|
|
raise InterpreterException('get_warning_str_prefix not implemented')
|
|
|
|
|
|
|
|
def __call__(self, f: TV_func) -> TV_func:
|
|
|
|
@wraps(f)
|
|
|
|
def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
|
|
|
|
subproject = get_callee_args(wrapped_args, want_subproject=True)[4]
|
|
|
|
if subproject is None:
|
|
|
|
raise AssertionError(f'{wrapped_args!r}')
|
|
|
|
self.use(subproject)
|
|
|
|
return f(*wrapped_args, **wrapped_kwargs)
|
|
|
|
return T.cast(TV_func, wrapped)
|
|
|
|
|
|
|
|
@classmethod
|
|
|
|
def single_use(cls, feature_name: str, version: str, subproject: str,
|
|
|
|
extra_message: T.Optional[str] = None) -> None:
|
|
|
|
"""Oneline version that instantiates and calls use()."""
|
|
|
|
cls(feature_name, version, extra_message).use(subproject)
|
|
|
|
|
|
|
|
|
|
|
|
class FeatureNew(FeatureCheckBase):
|
|
|
|
"""Checks for new features"""
|
|
|
|
|
|
|
|
# Class variable, shared across all instances
|
|
|
|
#
|
|
|
|
# Format: {subproject: {feature_version: set(feature_names)}}
|
|
|
|
feature_registry = {} # type: T.ClassVar[T.Dict[str, T.Dict[str, T.Set[str]]]]
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
def check_version(target_version: str, feature_version: str) -> bool:
|
|
|
|
return mesonlib.version_compare_condition_with_min(target_version, feature_version)
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
def get_warning_str_prefix(tv: str) -> str:
|
|
|
|
return f'Project specifies a minimum meson_version \'{tv}\' but uses features which were added in newer versions:'
|
|
|
|
|
|
|
|
def log_usage_warning(self, tv: str) -> None:
|
|
|
|
args = [
|
|
|
|
'Project targeting', f"'{tv}'",
|
|
|
|
'but tried to use feature introduced in',
|
|
|
|
f"'{self.feature_version}':",
|
|
|
|
f'{self.feature_name}.',
|
|
|
|
]
|
|
|
|
if self.extra_message:
|
|
|
|
args.append(self.extra_message)
|
|
|
|
mlog.warning(*args)
|
|
|
|
|
|
|
|
class FeatureDeprecated(FeatureCheckBase):
|
|
|
|
"""Checks for deprecated features"""
|
|
|
|
|
|
|
|
# Class variable, shared across all instances
|
|
|
|
#
|
|
|
|
# Format: {subproject: {feature_version: set(feature_names)}}
|
|
|
|
feature_registry = {} # type: T.ClassVar[T.Dict[str, T.Dict[str, T.Set[str]]]]
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
def check_version(target_version: str, feature_version: str) -> bool:
|
|
|
|
# For deprecation checks we need to return the inverse of FeatureNew checks
|
|
|
|
return not mesonlib.version_compare_condition_with_min(target_version, feature_version)
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
def get_warning_str_prefix(tv: str) -> str:
|
|
|
|
return 'Deprecated features used:'
|
|
|
|
|
|
|
|
def log_usage_warning(self, tv: str) -> None:
|
|
|
|
args = [
|
|
|
|
'Project targeting', f"'{tv}'",
|
|
|
|
'but tried to use feature deprecated since',
|
|
|
|
f"'{self.feature_version}':",
|
|
|
|
f'{self.feature_name}.',
|
|
|
|
]
|
|
|
|
if self.extra_message:
|
|
|
|
args.append(self.extra_message)
|
|
|
|
mlog.warning(*args)
|
|
|
|
|
|
|
|
|
|
|
|
class FeatureCheckKwargsBase(metaclass=abc.ABCMeta):
|
|
|
|
|
|
|
|
@property
|
|
|
|
@abc.abstractmethod
|
|
|
|
def feature_check_class(self) -> T.Type[FeatureCheckBase]:
|
|
|
|
pass
|
|
|
|
|
|
|
|
def __init__(self, feature_name: str, feature_version: str,
|
|
|
|
kwargs: T.List[str], extra_message: T.Optional[str] = None):
|
|
|
|
self.feature_name = feature_name
|
|
|
|
self.feature_version = feature_version
|
|
|
|
self.kwargs = kwargs
|
|
|
|
self.extra_message = extra_message
|
|
|
|
|
|
|
|
def __call__(self, f: TV_func) -> TV_func:
|
|
|
|
@wraps(f)
|
|
|
|
def wrapped(*wrapped_args: T.Any, **wrapped_kwargs: T.Any) -> T.Any:
|
|
|
|
kwargs, subproject = get_callee_args(wrapped_args, want_subproject=True)[3:5]
|
|
|
|
if subproject is None:
|
|
|
|
raise AssertionError(f'{wrapped_args!r}')
|
|
|
|
for arg in self.kwargs:
|
|
|
|
if arg not in kwargs:
|
|
|
|
continue
|
|
|
|
name = arg + ' arg in ' + self.feature_name
|
|
|
|
self.feature_check_class.single_use(
|
|
|
|
name, self.feature_version, subproject, self.extra_message)
|
|
|
|
return f(*wrapped_args, **wrapped_kwargs)
|
|
|
|
return T.cast(TV_func, wrapped)
|
|
|
|
|
|
|
|
class FeatureNewKwargs(FeatureCheckKwargsBase):
|
|
|
|
feature_check_class = FeatureNew
|
|
|
|
|
|
|
|
class FeatureDeprecatedKwargs(FeatureCheckKwargsBase):
|
|
|
|
feature_check_class = FeatureDeprecated
|