Merge branch 'improve-type-annotation-inference-refactors' of https://github.com/PeterJCLaw/jedi

This commit is contained in:
Dave Halter
2020-04-01 00:54:25 +02:00
6 changed files with 213 additions and 188 deletions

View File

@@ -10,6 +10,43 @@ class BaseValue(object):
return value
value = value.parent_context
def infer_type_vars(self, value_set, is_class_value=False):
"""
When the current instance represents a type annotation, this method
tries to find information about undefined type vars and returns a dict
from type var name to value set.
This is for example important to understand what `iter([1])` returns.
According to typeshed, `iter` returns an `Iterator[_T]`:
def iter(iterable: Iterable[_T]) -> Iterator[_T]: ...
This functions would generate `int` for `_T` in this case, because it
unpacks the `Iterable`.
Parameters
----------
`self`: represents the annotation of the current parameter to infer the
value for. In the above example, this would initially be the
`Iterable[_T]` of the `iterable` parameter and then, when recursing,
just the `_T` generic parameter.
`value_set`: represents the actual argument passed to the parameter
we're inferrined for, or (for recursive calls) their types. In the
above example this would first be the representation of the list
`[1]` and then, when recursing, just of `1`.
`is_class_value`: tells us whether or not to treat the `value_set` as
representing the instances or types being passed, which is neccesary
to correctly cope with `Type[T]` annotations. When it is True, this
means that we are being called with a nested portion of an
annotation and that the `value_set` represents the types of the
arguments, rather than their actual instances. Note: not all
recursive calls will neccesarily set this to True.
"""
return {}
class BaseValueSet(object):
def __init__(self, iterable):