def _imitate_items(self):
lazy_contexts = [
context.LazyKnownContext(FakeSequence(
self.evaluator, 'tuple',
(context.LazyTreeContext(self._defining_context, key_node),
context.LazyTreeContext(self._defining_context, value_node))
)) for key_node, value_node in self._items()
]
return set([FakeSequence(self.evaluator, 'list', lazy_contexts)])
def _eval_yield(self, yield_expr):
node = yield_expr.children[1]
if node.type == 'yield_arg': # It must be a yield from.
cn = ContextualizedNode(self, node.children[1])
for lazy_context in iterable.py__iter__(self.evaluator, cn.infer(), cn):
yield lazy_context
else:
yield context.LazyTreeContext(self, node)
def _eval_yield(self, yield_expr):
node = yield_expr.children[1]
if node.type == 'yield_arg': # It must be a yield from.
yield_from_types = self.eval_node(node.children[1])
for lazy_context in iterable.py__iter__(self.evaluator, yield_from_types, node):
yield lazy_context
else:
yield context.LazyTreeContext(self, node)
def exact_key_items(self):
"""
Returns a generator of tuples like dict.items(), where the key is
resolved (as a string) and the values are still lazy contexts.
"""
for key_node, value in self._items():
for key in self._defining_context.eval_node(key_node):
if precedence.is_string(key):
yield key.obj, context.LazyTreeContext(self._defining_context, value)
def unpack(self, func=None):
named_args = []
for stars, el in self._split():
if stars == 1:
arrays = self.context.eval_node(el)
iterators = [
_iterate_star_args(self.context, a, el, func)
for a in arrays
]
iterators = list(iterators)
for values in list(zip_longest(*iterators)):
# TODO zip_longest yields None, that means this would raise
# an exception?
yield None, context.get_merged_lazy_context(
[v for v in values if v is not None])
elif stars == 2:
arrays = self._evaluator.eval_element(self.context, el)
for dct in arrays:
for key, values in _star_star_dict(self.context, dct, el,
func):
yield key, values
else:
if el.type == 'argument':
c = el.children
if len(c) == 3: # Keyword argument.
named_args.append((
c[0].value,
context.LazyTreeContext(self.context, c[2]),
))
else: # Generator comprehension.
# Include the brackets with the parent.
comp = iterable.GeneratorComprehension(
self._evaluator, self.context,
self.argument_node.parent)
yield None, context.LazyKnownContext(comp)
else:
yield None, context.LazyTreeContext(self.context, el)
# Reordering var_args is necessary, because star args sometimes appear
# after named argument, but in the actual order it's prepended.
for named_arg in named_args:
yield named_arg
def create_default_param(parent_context, param):
if param.stars == 1:
result_arg = context.LazyKnownContext(
iterable.FakeSequence(parent_context.evaluator, 'tuple', []))
elif param.stars == 2:
result_arg = context.LazyKnownContext(
iterable.FakeDict(parent_context.evaluator, {}))
elif param.default is None:
result_arg = context.LazyUnknownContext()
else:
result_arg = context.LazyTreeContext(parent_context, param.default)
return ExecutedParam(parent_context, param, None, result_arg)
def _eval_yield(self, yield_expr):
if yield_expr.type == 'keyword':
# `yield` just yields None.
yield context.LazyKnownContext(
compiled.create(self.evaluator, None))
return
node = yield_expr.children[1]
if node.type == 'yield_arg': # It must be a yield from.
cn = ContextualizedNode(self, node.children[1])
for lazy_context in iterable.py__iter__(self.evaluator, cn.infer(),
cn):
yield lazy_context
else:
yield context.LazyTreeContext(self, node)
def py__iter__(self):
"""
While values returns the possible values for any array field, this
function returns the value for a certain index.
"""
if self.array_type == 'dict':
# Get keys.
types = set()
for k, _ in self._items():
types |= self._defining_context.eval_node(k)
# We don't know which dict index comes first, therefore always
# yield all the types.
for _ in types:
yield context.LazyKnownContexts(types)
else:
for node in self._items():
yield context.LazyTreeContext(self._defining_context, node)
for addition in check_array_additions(self._defining_context, self):
yield addition
def get_params(execution_context, var_args):
result_params = []
param_dict = {}
funcdef = execution_context.tree_node
parent_context = execution_context.parent_context
for param in funcdef.params:
param_dict[param.name.value] = param
unpacked_va = list(var_args.unpack(funcdef))
var_arg_iterator = common.PushBackIterator(iter(unpacked_va))
non_matching_keys = defaultdict(lambda: [])
keys_used = {}
keys_only = False
had_multiple_value_error = False
for param in funcdef.params:
# The value and key can both be null. There, the defaults apply.
# args / kwargs will just be empty arrays / dicts, respectively.
# Wrong value count is just ignored. If you try to test cases that are
# not allowed in Python, Jedi will maybe not show any completions.
key, argument = next(var_arg_iterator, (None, None))
while key is not None:
keys_only = True
try:
key_param = param_dict[key]
except KeyError:
non_matching_keys[key] = argument
else:
if key in keys_used:
had_multiple_value_error = True
m = ("TypeError: %s() got multiple values for keyword argument '%s'."
% (funcdef.name, key))
for node in var_args.get_calling_nodes():
analysis.add(parent_context, 'type-error-multiple-values',
node, message=m)
else:
keys_used[key] = ExecutedParam(execution_context, key_param, argument)
key, argument = next(var_arg_iterator, (None, None))
try:
result_params.append(keys_used[param.name.value])
continue
except KeyError:
pass
if param.star_count == 1:
# *args param
lazy_context_list = []
if argument is not None:
lazy_context_list.append(argument)
for key, argument in var_arg_iterator:
# Iterate until a key argument is found.
if key:
var_arg_iterator.push_back((key, argument))
break
lazy_context_list.append(argument)
seq = iterable.FakeSequence(execution_context.evaluator, 'tuple', lazy_context_list)
result_arg = context.LazyKnownContext(seq)
elif param.star_count == 2:
# **kwargs param
dct = iterable.FakeDict(execution_context.evaluator, dict(non_matching_keys))
result_arg = context.LazyKnownContext(dct)
non_matching_keys = {}
else:
# normal param
if argument is None:
# No value: Return an empty container
if param.default is None:
result_arg = context.LazyUnknownContext()
if not keys_only:
for node in var_args.get_calling_nodes():
m = _error_argument_count(funcdef, len(unpacked_va))
analysis.add(parent_context, 'type-error-too-few-arguments',
node, message=m)
else:
result_arg = context.LazyTreeContext(parent_context, param.default)
else:
result_arg = argument
result_params.append(ExecutedParam(execution_context, param, result_arg))
if not isinstance(result_arg, context.LazyUnknownContext):
keys_used[param.name.value] = result_params[-1]
if keys_only:
# All arguments should be handed over to the next function. It's not
# about the values inside, it's about the names. Jedi needs to now that
# there's nothing to find for certain names.
for k in set(param_dict) - set(keys_used):
param = param_dict[k]
if not (non_matching_keys or had_multiple_value_error or
param.star_count or param.default):
# add a warning only if there's not another one.
for node in var_args.get_calling_nodes():
m = _error_argument_count(funcdef, len(unpacked_va))
analysis.add(parent_context, 'type-error-too-few-arguments',
node, message=m)
for key, lazy_context in non_matching_keys.items():
m = "TypeError: %s() got an unexpected keyword argument '%s'." \
% (funcdef.name, key)
add_argument_issue(
parent_context,
'type-error-keyword-argument',
lazy_context,
message=m
)
remaining_arguments = list(var_arg_iterator)
if remaining_arguments:
m = _error_argument_count(funcdef, len(unpacked_va))
# Just report an error for the first param that is not needed (like
# cPython).
first_key, lazy_context = remaining_arguments[0]
if var_args.get_calling_nodes():
# There might not be a valid calling node so check for that first.
add_argument_issue(parent_context, 'type-error-too-many-arguments', lazy_context, message=m)
return result_params
