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from jedi.inference.cache import inference_state_method_cache
from jedi.inference.base_value import ValueSet, NO_VALUES, Value, \
iterator_to_value_set, LazyValueWrapper, ValueWrapper
from jedi.inference.compiled import builtin_from_name
from jedi.inference.value.klass import ClassFilter
from jedi.inference.value.klass import ClassMixin
from jedi.inference.utils import to_list
from jedi.inference.names import AbstractNameDefinition, ValueName
from jedi.inference.context import ClassContext
from jedi.inference.gradual.generics import TupleGenericManager
class _BoundTypeVarName(AbstractNameDefinition):
"""
This type var was bound to a certain type, e.g. int.
"""
def __init__(self, type_var, value_set):
self._type_var = type_var
self.parent_context = type_var.parent_context
self._value_set = value_set
def infer(self):
def iter_():
for value in self._value_set:
# Replace any with the constraints if they are there.
from jedi.inference.gradual.typing import AnyClass
if isinstance(value, AnyClass):
yield from self._type_var.constraints
else:
yield value
return ValueSet(iter_())
def py__name__(self):
return self._type_var.py__name__()
def __repr__(self):
return '<%s %s -> %s>' % (self.__class__.__name__, self.py__name__(), self._value_set)
class _TypeVarFilter:
"""
A filter for all given variables in a class.
A = TypeVar('A')
B = TypeVar('B')
class Foo(Mapping[A, B]):
...
In this example we would have two type vars given: A and B
"""
def __init__(self, generics, type_vars):
self._generics = generics
self._type_vars = type_vars
def get(self, name):
for i, type_var in enumerate(self._type_vars):
if type_var.py__name__() == name:
try:
return [_BoundTypeVarName(type_var, self._generics[i])]
except IndexError:
return [type_var.name]
return []
def values(self):
# The values are not relevant. If it's not searched exactly, the type
# vars are just global and should be looked up as that.
return []
class _AnnotatedClassContext(ClassContext):
def get_filters(self, *args, **kwargs):
filters = super().get_filters(
*args, **kwargs
)
yield from filters
# The type vars can only be looked up if it's a global search and
# not a direct lookup on the class.
yield self._value.get_type_var_filter()
class DefineGenericBaseClass(LazyValueWrapper):
def __init__(self, generics_manager):
self._generics_manager = generics_manager
def _create_instance_with_generics(self, generics_manager):
raise NotImplementedError
@inference_state_method_cache()
def get_generics(self):
return self._generics_manager.to_tuple()
def define_generics(self, type_var_dict):
from jedi.inference.gradual.type_var import TypeVar
changed = False
new_generics = []
for generic_set in self.get_generics():
values = NO_VALUES
for generic in generic_set:
if isinstance(generic, (DefineGenericBaseClass, TypeVar)):
result = generic.define_generics(type_var_dict)
values |= result
if result != ValueSet({generic}):
changed = True
else:
values |= ValueSet([generic])
new_generics.append(values)
if not changed:
# There might not be any type vars that change. In that case just
# return itself, because it does not make sense to potentially lose
# cached results.
return ValueSet([self])
return ValueSet([self._create_instance_with_generics(
TupleGenericManager(tuple(new_generics))
)])
def is_same_class(self, other):
if not isinstance(other, DefineGenericBaseClass):
return False
if self.tree_node != other.tree_node:
# TODO not sure if this is nice.
return False
given_params1 = self.get_generics()
given_params2 = other.get_generics()
if len(given_params1) != len(given_params2):
# If the amount of type vars doesn't match, the class doesn't
# match.
return False
# Now compare generics
return all(
any(
# TODO why is this ordering the correct one?
cls2.is_same_class(cls1)
# TODO I'm still not sure gather_annotation_classes is a good
# idea. They are essentially here to avoid comparing Tuple <=>
# tuple and instead compare tuple <=> tuple, but at the moment
# the whole `is_same_class` and `is_sub_class` matching is just
# not in the best shape.
for cls1 in class_set1.gather_annotation_classes()
for cls2 in class_set2.gather_annotation_classes()
) for class_set1, class_set2 in zip(given_params1, given_params2)
)
def get_signatures(self):
return []
def __repr__(self):
return '<%s: %s%s>' % (
self.__class__.__name__,
self._wrapped_value,
list(self.get_generics()),
)
class GenericClass(DefineGenericBaseClass, ClassMixin):
"""
A class that is defined with generics, might be something simple like:
class Foo(Generic[T]): ...
my_foo_int_cls = Foo[int]
"""
def __init__(self, class_value, generics_manager):
super().__init__(generics_manager)
self._class_value = class_value
def _get_wrapped_value(self):
return self._class_value
def get_type_hint(self, add_class_info=True):
n = self.py__name__()
# Not sure if this is the best way to do this, but all of these types
# are a bit special in that they have type aliases and other ways to
# become lower case. It's probably better to make them upper case,
# because that's what you can use in annotations.
n = dict(list="List", dict="Dict", set="Set", tuple="Tuple").get(n, n)
s = n + self._generics_manager.get_type_hint()
if add_class_info:
return 'Type[%s]' % s
return s
def get_type_var_filter(self):
return _TypeVarFilter(self.get_generics(), self.list_type_vars())
def py__call__(self, arguments):
instance, = super().py__call__(arguments)
return ValueSet([_GenericInstanceWrapper(instance)])
def _as_context(self):
return _AnnotatedClassContext(self)
@to_list
def py__bases__(self):
for base in self._wrapped_value.py__bases__():
yield _LazyGenericBaseClass(self, base, self._generics_manager)
def _create_instance_with_generics(self, generics_manager):
return GenericClass(self._class_value, generics_manager)
def is_sub_class_of(self, class_value):
if super().is_sub_class_of(class_value):
return True
return self._class_value.is_sub_class_of(class_value)
def with_generics(self, generics_tuple):
return self._class_value.with_generics(generics_tuple)
def infer_type_vars(self, value_set):
# Circular
from jedi.inference.gradual.annotation import merge_pairwise_generics, merge_type_var_dicts
annotation_name = self.py__name__()
type_var_dict = {}
if annotation_name == 'Iterable':
annotation_generics = self.get_generics()
if annotation_generics:
return annotation_generics[0].infer_type_vars(
value_set.merge_types_of_iterate(),
)
else:
# Note: we need to handle the MRO _in order_, so we need to extract
# the elements from the set first, then handle them, even if we put
# them back in a set afterwards.
for py_class in value_set:
if py_class.is_instance() and not py_class.is_compiled():
py_class = py_class.get_annotated_class_object()
else:
continue
if py_class.api_type != 'class':
# Functions & modules don't have an MRO and we're not
# expecting a Callable (those are handled separately within
# TypingClassValueWithIndex).
continue
for parent_class in py_class.py__mro__():
class_name = parent_class.py__name__()
if annotation_name == class_name:
merge_type_var_dicts(
type_var_dict,
merge_pairwise_generics(self, parent_class),
)
break
return type_var_dict
class _LazyGenericBaseClass:
def __init__(self, class_value, lazy_base_class, generics_manager):
self._class_value = class_value
self._lazy_base_class = lazy_base_class
self._generics_manager = generics_manager
@iterator_to_value_set
def infer(self):
for base in self._lazy_base_class.infer():
if isinstance(base, GenericClass):
# Here we have to recalculate the given types.
yield GenericClass.create_cached(
base.inference_state,
base._wrapped_value,
TupleGenericManager(tuple(self._remap_type_vars(base))),
)
else:
if base.is_class_mixin():
# This case basically allows classes like `class Foo(List)`
# to be used like `Foo[int]`. The generics are not
# necessary and can be used later.
yield GenericClass.create_cached(
base.inference_state,
base,
self._generics_manager,
)
else:
yield base
def _remap_type_vars(self, base):
from jedi.inference.gradual.type_var import TypeVar
filter = self._class_value.get_type_var_filter()
for type_var_set in base.get_generics():
new = NO_VALUES
for type_var in type_var_set:
if isinstance(type_var, TypeVar):
names = filter.get(type_var.py__name__())
new |= ValueSet.from_sets(
name.infer() for name in names
)
else:
# Mostly will be type vars, except if in some cases
# a concrete type will already be there. In that
# case just add it to the value set.
new |= ValueSet([type_var])
yield new
def __repr__(self):
return '<%s: %s>' % (self.__class__.__name__, self._lazy_base_class)
class _GenericInstanceWrapper(ValueWrapper):
def py__stop_iteration_returns(self):
for cls in self._wrapped_value.class_value.py__mro__():
if cls.py__name__() == 'Generator':
generics = cls.get_generics()
try:
return generics[2].execute_annotation()
except IndexError:
pass
elif cls.py__name__() == 'Iterator':
return ValueSet([builtin_from_name(self.inference_state, 'None')])
return self._wrapped_value.py__stop_iteration_returns()
def get_type_hint(self, add_class_info=True):
return self._wrapped_value.class_value.get_type_hint(add_class_info=False)
class _PseudoTreeNameClass(Value):
"""
In typeshed, some classes are defined like this:
Tuple: _SpecialForm = ...
Now this is not a real class, therefore we have to do some workarounds like
this class. Essentially this class makes it possible to goto that `Tuple`
name, without affecting anything else negatively.
"""
api_type = 'class'
def __init__(self, parent_context, tree_name):
super().__init__(
parent_context.inference_state,
parent_context
)
self._tree_name = tree_name
@property
def tree_node(self):
return self._tree_name
def get_filters(self, *args, **kwargs):
# TODO this is obviously wrong. Is it though?
class EmptyFilter(ClassFilter):
def __init__(self):
pass
def get(self, name, **kwargs):
return []
def values(self, **kwargs):
return []
yield EmptyFilter()
def py__class__(self):
# This might not be 100% correct, but it is good enough. The details of
# the typing library are not really an issue for Jedi.
return builtin_from_name(self.inference_state, 'type')
@property
def name(self):
return ValueName(self, self._tree_name)
def get_qualified_names(self):
return (self._tree_name.value,)
def __repr__(self):
return '%s(%s)' % (self.__class__.__name__, self._tree_name.value)
class BaseTypingValue(LazyValueWrapper):
def __init__(self, parent_context, tree_name):
self.inference_state = parent_context.inference_state
self.parent_context = parent_context
self._tree_name = tree_name
@property
def name(self):
return ValueName(self, self._tree_name)
def _get_wrapped_value(self):
return _PseudoTreeNameClass(self.parent_context, self._tree_name)
def get_signatures(self):
return self._wrapped_value.get_signatures()
def __repr__(self):
return '%s(%s)' % (self.__class__.__name__, self._tree_name.value)
class BaseTypingClassWithGenerics(DefineGenericBaseClass):
def __init__(self, parent_context, tree_name, generics_manager):
super().__init__(generics_manager)
self.inference_state = parent_context.inference_state
self.parent_context = parent_context
self._tree_name = tree_name
def _get_wrapped_value(self):
return _PseudoTreeNameClass(self.parent_context, self._tree_name)
def __repr__(self):
return '%s(%s%s)' % (self.__class__.__name__, self._tree_name.value,
self._generics_manager)
class BaseTypingInstance(LazyValueWrapper):
def __init__(self, parent_context, class_value, tree_name, generics_manager):
self.inference_state = class_value.inference_state
self.parent_context = parent_context
self._class_value = class_value
self._tree_name = tree_name
self._generics_manager = generics_manager
def py__class__(self):
return self._class_value
def get_annotated_class_object(self):
return self._class_value
def get_qualified_names(self):
return (self.py__name__(),)
@property
def name(self):
return ValueName(self, self._tree_name)
def _get_wrapped_value(self):
object_, = builtin_from_name(self.inference_state, 'object').execute_annotation()
return object_
def __repr__(self):
return '<%s: %s>' % (self.__class__.__name__, self._generics_manager)
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