forked from VimPlug/jedi
440 lines
14 KiB
Python
440 lines
14 KiB
Python
"""
|
|
Values are the "values" that Python would return. However Values are at the
|
|
same time also the "values" that a user is currently sitting in.
|
|
|
|
A ValueSet is typically used to specify the return of a function or any other
|
|
static analysis operation. In jedi there are always multiple returns and not
|
|
just one.
|
|
"""
|
|
from functools import reduce
|
|
from operator import add
|
|
from parso.python.tree import ExprStmt, SyncCompFor
|
|
|
|
from jedi import debug
|
|
from jedi._compatibility import zip_longest, unicode
|
|
from jedi.parser_utils import clean_scope_docstring
|
|
from jedi.common import BaseValueSet, BaseValue
|
|
from jedi.inference.helpers import SimpleGetItemNotFound
|
|
from jedi.inference.utils import safe_property
|
|
from jedi.inference.cache import inference_state_as_method_param_cache
|
|
from jedi.cache import memoize_method
|
|
|
|
_sentinel = object()
|
|
|
|
|
|
class HelperValueMixin(object):
|
|
def get_root_context(self):
|
|
value = self
|
|
if value.parent_context is None:
|
|
return value.as_context()
|
|
|
|
while True:
|
|
if value.parent_context is None:
|
|
return value
|
|
value = value.parent_context
|
|
|
|
@classmethod
|
|
@inference_state_as_method_param_cache()
|
|
def create_cached(cls, *args, **kwargs):
|
|
return cls(*args, **kwargs)
|
|
|
|
def execute(self, arguments):
|
|
return self.inference_state.execute(self, arguments=arguments)
|
|
|
|
def execute_with_values(self, *value_list):
|
|
from jedi.inference.arguments import ValuesArguments
|
|
arguments = ValuesArguments([ValueSet([value]) for value in value_list])
|
|
return self.inference_state.execute(self, arguments)
|
|
|
|
def execute_annotation(self):
|
|
return self.execute_with_values()
|
|
|
|
def gather_annotation_classes(self):
|
|
return ValueSet([self])
|
|
|
|
def merge_types_of_iterate(self, valueualized_node=None, is_async=False):
|
|
return ValueSet.from_sets(
|
|
lazy_value.infer()
|
|
for lazy_value in self.iterate(valueualized_node, is_async)
|
|
)
|
|
|
|
def py__getattribute__(self, name_or_str, name_context=None, position=None,
|
|
analysis_errors=True):
|
|
"""
|
|
:param position: Position of the last statement -> tuple of line, column
|
|
"""
|
|
if name_context is None:
|
|
name_context = self
|
|
from jedi.inference import finder
|
|
f = finder.NameFinder(self.inference_state, self, name_context, name_or_str,
|
|
position, analysis_errors=analysis_errors)
|
|
filters = f.get_value_filters()
|
|
return f.find(filters, attribute_lookup=True)
|
|
|
|
def py__await__(self):
|
|
await_value_set = self.py__getattribute__(u"__await__")
|
|
if not await_value_set:
|
|
debug.warning('Tried to run __await__ on value %s', self)
|
|
return await_value_set.execute_with_values()
|
|
|
|
def infer_node(self, node):
|
|
return self.inference_state.infer_element(self, node)
|
|
|
|
def iterate(self, valueualized_node=None, is_async=False):
|
|
debug.dbg('iterate %s', self)
|
|
if is_async:
|
|
from jedi.inference.lazy_value import LazyKnownValues
|
|
# TODO if no __aiter__ values are there, error should be:
|
|
# TypeError: 'async for' requires an object with __aiter__ method, got int
|
|
return iter([
|
|
LazyKnownValues(
|
|
self.py__getattribute__('__aiter__').execute_with_values()
|
|
.py__getattribute__('__anext__').execute_with_values()
|
|
.py__getattribute__('__await__').execute_with_values()
|
|
.py__stop_iteration_returns()
|
|
) # noqa
|
|
])
|
|
return self.py__iter__(valueualized_node)
|
|
|
|
def is_sub_class_of(self, class_value):
|
|
for cls in self.py__mro__():
|
|
if cls.is_same_class(class_value):
|
|
return True
|
|
return False
|
|
|
|
def is_same_class(self, class2):
|
|
# Class matching should prefer comparisons that are not this function.
|
|
if type(class2).is_same_class != HelperValueMixin.is_same_class:
|
|
return class2.is_same_class(self)
|
|
return self == class2
|
|
|
|
|
|
class Value(HelperValueMixin, BaseValue):
|
|
"""
|
|
Should be defined, otherwise the API returns empty types.
|
|
"""
|
|
predefined_names = {}
|
|
"""
|
|
To be defined by subclasses.
|
|
"""
|
|
tree_node = None
|
|
|
|
@property
|
|
def api_type(self):
|
|
# By default just lower name of the class. Can and should be
|
|
# overwritten.
|
|
return self.__class__.__name__.lower()
|
|
|
|
def py__getitem__(self, index_value_set, valueualized_node):
|
|
from jedi.inference import analysis
|
|
# TODO this value is probably not right.
|
|
analysis.add(
|
|
valueualized_node.context,
|
|
'type-error-not-subscriptable',
|
|
valueualized_node.node,
|
|
message="TypeError: '%s' object is not subscriptable" % self
|
|
)
|
|
return NO_VALUES
|
|
|
|
def py__iter__(self, valueualized_node=None):
|
|
if valueualized_node is not None:
|
|
from jedi.inference import analysis
|
|
analysis.add(
|
|
valueualized_node.context,
|
|
'type-error-not-iterable',
|
|
valueualized_node.node,
|
|
message="TypeError: '%s' object is not iterable" % self)
|
|
return iter([])
|
|
|
|
def get_signatures(self):
|
|
return []
|
|
|
|
def is_class(self):
|
|
return False
|
|
|
|
def is_instance(self):
|
|
return False
|
|
|
|
def is_function(self):
|
|
return False
|
|
|
|
def is_module(self):
|
|
return False
|
|
|
|
def is_namespace(self):
|
|
return False
|
|
|
|
def is_compiled(self):
|
|
return False
|
|
|
|
def is_bound_method(self):
|
|
return False
|
|
|
|
def py__bool__(self):
|
|
"""
|
|
Since Wrapper is a super class for classes, functions and modules,
|
|
the return value will always be true.
|
|
"""
|
|
return True
|
|
|
|
def py__doc__(self):
|
|
try:
|
|
self.tree_node.get_doc_node
|
|
except AttributeError:
|
|
return ''
|
|
else:
|
|
return clean_scope_docstring(self.tree_node)
|
|
return None
|
|
|
|
def get_safe_value(self, default=_sentinel):
|
|
if default is _sentinel:
|
|
raise ValueError("There exists no safe value for value %s" % self)
|
|
return default
|
|
|
|
def py__call__(self, arguments):
|
|
debug.warning("no execution possible %s", self)
|
|
return NO_VALUES
|
|
|
|
def py__stop_iteration_returns(self):
|
|
debug.warning("Not possible to return the stop iterations of %s", self)
|
|
return NO_VALUES
|
|
|
|
def get_qualified_names(self):
|
|
# Returns Optional[Tuple[str, ...]]
|
|
return None
|
|
|
|
def is_stub(self):
|
|
# The root value knows if it's a stub or not.
|
|
return self.parent_context.is_stub()
|
|
|
|
def as_context(self):
|
|
raise NotImplementedError('Not all values need to be converted to contexts')
|
|
|
|
|
|
def iterate_values(values, valueualized_node=None, is_async=False):
|
|
"""
|
|
Calls `iterate`, on all values but ignores the ordering and just returns
|
|
all values that the iterate functions yield.
|
|
"""
|
|
return ValueSet.from_sets(
|
|
lazy_value.infer()
|
|
for lazy_value in values.iterate(valueualized_node, is_async=is_async)
|
|
)
|
|
|
|
|
|
class _ValueWrapperBase(HelperValueMixin):
|
|
predefined_names = {}
|
|
|
|
@safe_property
|
|
def name(self):
|
|
from jedi.inference.names import ValueName
|
|
wrapped_name = self._wrapped_value.name
|
|
if wrapped_name.tree_name is not None:
|
|
return ValueName(self, wrapped_name.tree_name)
|
|
else:
|
|
from jedi.inference.compiled import CompiledValueName
|
|
return CompiledValueName(self, wrapped_name.string_name)
|
|
|
|
@classmethod
|
|
@inference_state_as_method_param_cache()
|
|
def create_cached(cls, inference_state, *args, **kwargs):
|
|
return cls(*args, **kwargs)
|
|
|
|
def __getattr__(self, name):
|
|
assert name != '_wrapped_value', 'Problem with _get_wrapped_value'
|
|
return getattr(self._wrapped_value, name)
|
|
|
|
|
|
class LazyValueWrapper(_ValueWrapperBase):
|
|
@safe_property
|
|
@memoize_method
|
|
def _wrapped_value(self):
|
|
with debug.increase_indent_cm('Resolve lazy value wrapper'):
|
|
return self._get_wrapped_value()
|
|
|
|
def __repr__(self):
|
|
return '<%s>' % (self.__class__.__name__)
|
|
|
|
def _get_wrapped_value(self):
|
|
raise NotImplementedError
|
|
|
|
|
|
class ValueWrapper(_ValueWrapperBase):
|
|
def __init__(self, wrapped_value):
|
|
self._wrapped_value = wrapped_value
|
|
|
|
def __repr__(self):
|
|
return '%s(%s)' % (self.__class__.__name__, self._wrapped_value)
|
|
|
|
|
|
class TreeValue(Value):
|
|
def __init__(self, inference_state, parent_context, tree_node):
|
|
super(TreeValue, self).__init__(inference_state, parent_context)
|
|
self.predefined_names = {}
|
|
self.tree_node = tree_node
|
|
|
|
def __repr__(self):
|
|
return '<%s: %s>' % (self.__class__.__name__, self.tree_node)
|
|
|
|
|
|
class ValueualizedNode(object):
|
|
def __init__(self, context, node):
|
|
self.context = context
|
|
self.node = node
|
|
|
|
def get_root_context(self):
|
|
return self.context.get_root_context()
|
|
|
|
def infer(self):
|
|
return self.context.infer_node(self.node)
|
|
|
|
def __repr__(self):
|
|
return '<%s: %s in %s>' % (self.__class__.__name__, self.node, self.context)
|
|
|
|
|
|
class ValueualizedName(ValueualizedNode):
|
|
# TODO merge with TreeNameDefinition?!
|
|
@property
|
|
def name(self):
|
|
return self.node
|
|
|
|
def assignment_indexes(self):
|
|
"""
|
|
Returns an array of tuple(int, node) of the indexes that are used in
|
|
tuple assignments.
|
|
|
|
For example if the name is ``y`` in the following code::
|
|
|
|
x, (y, z) = 2, ''
|
|
|
|
would result in ``[(1, xyz_node), (0, yz_node)]``.
|
|
|
|
When searching for b in the case ``a, *b, c = [...]`` it will return::
|
|
|
|
[(slice(1, -1), abc_node)]
|
|
"""
|
|
indexes = []
|
|
is_star_expr = False
|
|
node = self.node.parent
|
|
compare = self.node
|
|
while node is not None:
|
|
if node.type in ('testlist', 'testlist_comp', 'testlist_star_expr', 'exprlist'):
|
|
for i, child in enumerate(node.children):
|
|
if child == compare:
|
|
index = int(i / 2)
|
|
if is_star_expr:
|
|
from_end = int((len(node.children) - i) / 2)
|
|
index = slice(index, -from_end)
|
|
indexes.insert(0, (index, node))
|
|
break
|
|
else:
|
|
raise LookupError("Couldn't find the assignment.")
|
|
is_star_expr = False
|
|
elif node.type == 'star_expr':
|
|
is_star_expr = True
|
|
elif isinstance(node, (ExprStmt, SyncCompFor)):
|
|
break
|
|
|
|
compare = node
|
|
node = node.parent
|
|
return indexes
|
|
|
|
|
|
def _getitem(value, index_values, valueualized_node):
|
|
from jedi.inference.value.iterable import Slice
|
|
|
|
# The actual getitem call.
|
|
simple_getitem = getattr(value, 'py__simple_getitem__', None)
|
|
|
|
result = NO_VALUES
|
|
unused_values = set()
|
|
for index_value in index_values:
|
|
if simple_getitem is not None:
|
|
index = index_value
|
|
if isinstance(index_value, Slice):
|
|
index = index.obj
|
|
|
|
try:
|
|
method = index.get_safe_value
|
|
except AttributeError:
|
|
pass
|
|
else:
|
|
index = method(default=None)
|
|
|
|
if type(index) in (float, int, str, unicode, slice, bytes):
|
|
try:
|
|
result |= simple_getitem(index)
|
|
continue
|
|
except SimpleGetItemNotFound:
|
|
pass
|
|
|
|
unused_values.add(index_value)
|
|
|
|
# The index was somehow not good enough or simply a wrong type.
|
|
# Therefore we now iterate through all the values and just take
|
|
# all results.
|
|
if unused_values or not index_values:
|
|
result |= value.py__getitem__(
|
|
ValueSet(unused_values),
|
|
valueualized_node
|
|
)
|
|
debug.dbg('py__getitem__ result: %s', result)
|
|
return result
|
|
|
|
|
|
class ValueSet(BaseValueSet):
|
|
def py__class__(self):
|
|
return ValueSet(c.py__class__() for c in self._set)
|
|
|
|
def iterate(self, valueualized_node=None, is_async=False):
|
|
from jedi.inference.lazy_value import get_merged_lazy_value
|
|
type_iters = [c.iterate(valueualized_node, is_async=is_async) for c in self._set]
|
|
for lazy_values in zip_longest(*type_iters):
|
|
yield get_merged_lazy_value(
|
|
[l for l in lazy_values if l is not None]
|
|
)
|
|
|
|
def execute(self, arguments):
|
|
return ValueSet.from_sets(c.inference_state.execute(c, arguments) for c in self._set)
|
|
|
|
def execute_with_values(self, *args, **kwargs):
|
|
return ValueSet.from_sets(c.execute_with_values(*args, **kwargs) for c in self._set)
|
|
|
|
def py__getattribute__(self, *args, **kwargs):
|
|
if kwargs.get('is_goto'):
|
|
return reduce(add, [c.py__getattribute__(*args, **kwargs) for c in self._set], [])
|
|
return ValueSet.from_sets(c.py__getattribute__(*args, **kwargs) for c in self._set)
|
|
|
|
def get_item(self, *args, **kwargs):
|
|
return ValueSet.from_sets(_getitem(c, *args, **kwargs) for c in self._set)
|
|
|
|
def try_merge(self, function_name):
|
|
value_set = self.__class__([])
|
|
for c in self._set:
|
|
try:
|
|
method = getattr(c, function_name)
|
|
except AttributeError:
|
|
pass
|
|
else:
|
|
value_set |= method()
|
|
return value_set
|
|
|
|
def as_context(self):
|
|
return [v.as_context() for v in self._set]
|
|
|
|
def gather_annotation_classes(self):
|
|
return ValueSet.from_sets([c.gather_annotation_classes() for c in self._set])
|
|
|
|
def get_signatures(self):
|
|
return [sig for c in self._set for sig in c.get_signatures()]
|
|
|
|
|
|
NO_VALUES = ValueSet([])
|
|
|
|
|
|
def iterator_to_value_set(func):
|
|
def wrapper(*args, **kwargs):
|
|
return ValueSet(func(*args, **kwargs))
|
|
|
|
return wrapper
|