1
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forked from VimPlug/jedi

context -> value

This commit is contained in:
Dave Halter
2019-08-15 01:23:06 +02:00
parent 9e23f4d67b
commit ad4f546aca
68 changed files with 1931 additions and 1931 deletions

View File

@@ -3,46 +3,46 @@ from collections import defaultdict
from jedi import debug
from jedi.inference.utils import PushBackIterator
from jedi.inference import analysis
from jedi.inference.lazy_context import LazyKnownContext, \
from jedi.inference.lazy_value import LazyKnownContext, \
LazyTreeContext, LazyUnknownContext
from jedi.inference import docstrings
from jedi.inference.context import iterable
from jedi.inference.value import iterable
def _add_argument_issue(error_name, lazy_context, message):
if isinstance(lazy_context, LazyTreeContext):
node = lazy_context.data
def _add_argument_issue(error_name, lazy_value, message):
if isinstance(lazy_value, LazyTreeContext):
node = lazy_value.data
if node.parent.type == 'argument':
node = node.parent
return analysis.add(lazy_context.context, error_name, node, message)
return analysis.add(lazy_value.value, error_name, node, message)
class ExecutedParam(object):
"""Fake a param and give it values."""
def __init__(self, execution_context, param_node, lazy_context, is_default=False):
self._execution_context = execution_context
def __init__(self, execution_value, param_node, lazy_value, is_default=False):
self._execution_value = execution_value
self._param_node = param_node
self._lazy_context = lazy_context
self._lazy_value = lazy_value
self.string_name = param_node.name.value
self._is_default = is_default
def infer_annotations(self):
from jedi.inference.gradual.annotation import infer_param
return infer_param(self._execution_context, self._param_node)
return infer_param(self._execution_value, self._param_node)
def infer(self, use_hints=True):
if use_hints:
doc_params = docstrings.infer_param(self._execution_context, self._param_node)
doc_params = docstrings.infer_param(self._execution_value, self._param_node)
ann = self.infer_annotations().execute_annotation()
if ann or doc_params:
return ann | doc_params
return self._lazy_context.infer()
return self._lazy_value.infer()
def matches_signature(self):
if self._is_default:
return True
argument_contexts = self.infer(use_hints=False).py__class__()
argument_values = self.infer(use_hints=False).py__class__()
if self._param_node.star_count:
return True
annotations = self.infer_annotations()
@@ -51,21 +51,21 @@ class ExecutedParam(object):
# that the signature matches.
return True
matches = any(c1.is_sub_class_of(c2)
for c1 in argument_contexts
for c1 in argument_values
for c2 in annotations.gather_annotation_classes())
debug.dbg("signature compare %s: %s <=> %s",
matches, argument_contexts, annotations, color='BLUE')
matches, argument_values, annotations, color='BLUE')
return matches
@property
def var_args(self):
return self._execution_context.var_args
return self._execution_value.var_args
def __repr__(self):
return '<%s: %s>' % (self.__class__.__name__, self.string_name)
def get_executed_params_and_issues(execution_context, arguments):
def get_executed_params_and_issues(execution_value, arguments):
def too_many_args(argument):
m = _error_argument_count(funcdef, len(unpacked_va))
# Just report an error for the first param that is not needed (like
@@ -85,11 +85,11 @@ def get_executed_params_and_issues(execution_context, arguments):
issues = [] # List[Optional[analysis issue]]
result_params = []
param_dict = {}
funcdef = execution_context.tree_node
# Default params are part of the context where the function was defined.
funcdef = execution_value.tree_node
# Default params are part of the value where the function was defined.
# This means that they might have access on class variables that the
# function itself doesn't have.
default_param_context = execution_context.function_context.get_default_param_context()
default_param_value = execution_value.function_value.get_default_param_value()
for param in funcdef.get_params():
param_dict[param.name.value] = param
@@ -118,14 +118,14 @@ def get_executed_params_and_issues(execution_context, arguments):
had_multiple_value_error = True
m = ("TypeError: %s() got multiple values for keyword argument '%s'."
% (funcdef.name, key))
for contextualized_node in arguments.get_calling_nodes():
for valueualized_node in arguments.get_calling_nodes():
issues.append(
analysis.add(contextualized_node.context,
analysis.add(valueualized_node.value,
'type-error-multiple-values',
contextualized_node.node, message=m)
valueualized_node.node, message=m)
)
else:
keys_used[key] = ExecutedParam(execution_context, key_param, argument)
keys_used[key] = ExecutedParam(execution_value, key_param, argument)
key, argument = next(var_arg_iterator, (None, None))
try:
@@ -136,22 +136,22 @@ def get_executed_params_and_issues(execution_context, arguments):
if param.star_count == 1:
# *args param
lazy_context_list = []
lazy_value_list = []
if argument is not None:
lazy_context_list.append(argument)
lazy_value_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.infer_state, u'tuple', lazy_context_list)
lazy_value_list.append(argument)
seq = iterable.FakeSequence(execution_value.infer_state, u'tuple', lazy_value_list)
result_arg = LazyKnownContext(seq)
elif param.star_count == 2:
if argument is not None:
too_many_args(argument)
# **kwargs param
dct = iterable.FakeDict(execution_context.infer_state, dict(non_matching_keys))
dct = iterable.FakeDict(execution_value.infer_state, dict(non_matching_keys))
result_arg = LazyKnownContext(dct)
non_matching_keys = {}
else:
@@ -161,24 +161,24 @@ def get_executed_params_and_issues(execution_context, arguments):
if param.default is None:
result_arg = LazyUnknownContext()
if not keys_only:
for contextualized_node in arguments.get_calling_nodes():
for valueualized_node in arguments.get_calling_nodes():
m = _error_argument_count(funcdef, len(unpacked_va))
issues.append(
analysis.add(
contextualized_node.context,
valueualized_node.value,
'type-error-too-few-arguments',
contextualized_node.node,
valueualized_node.node,
message=m,
)
)
else:
result_arg = LazyTreeContext(default_param_context, param.default)
result_arg = LazyTreeContext(default_param_value, param.default)
is_default = True
else:
result_arg = argument
result_params.append(ExecutedParam(
execution_context, param, result_arg,
execution_value, param, result_arg,
is_default=is_default
))
if not isinstance(result_arg, LazyUnknownContext):
@@ -194,29 +194,29 @@ def get_executed_params_and_issues(execution_context, arguments):
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 contextualized_node in arguments.get_calling_nodes():
for valueualized_node in arguments.get_calling_nodes():
m = _error_argument_count(funcdef, len(unpacked_va))
issues.append(
analysis.add(contextualized_node.context,
analysis.add(valueualized_node.value,
'type-error-too-few-arguments',
contextualized_node.node, message=m)
valueualized_node.node, message=m)
)
for key, lazy_context in non_matching_keys.items():
for key, lazy_value in non_matching_keys.items():
m = "TypeError: %s() got an unexpected keyword argument '%s'." \
% (funcdef.name, key)
issues.append(
_add_argument_issue(
'type-error-keyword-argument',
lazy_context,
lazy_value,
message=m
)
)
remaining_arguments = list(var_arg_iterator)
if remaining_arguments:
first_key, lazy_context = remaining_arguments[0]
too_many_args(lazy_context)
first_key, lazy_value = remaining_arguments[0]
too_many_args(lazy_value)
return result_params, issues
@@ -232,22 +232,22 @@ def _error_argument_count(funcdef, actual_count):
% (funcdef.name, before, len(params), actual_count))
def _create_default_param(execution_context, param):
def _create_default_param(execution_value, param):
if param.star_count == 1:
result_arg = LazyKnownContext(
iterable.FakeSequence(execution_context.infer_state, u'tuple', [])
iterable.FakeSequence(execution_value.infer_state, u'tuple', [])
)
elif param.star_count == 2:
result_arg = LazyKnownContext(
iterable.FakeDict(execution_context.infer_state, {})
iterable.FakeDict(execution_value.infer_state, {})
)
elif param.default is None:
result_arg = LazyUnknownContext()
else:
result_arg = LazyTreeContext(execution_context.parent_context, param.default)
return ExecutedParam(execution_context, param, result_arg)
result_arg = LazyTreeContext(execution_value.parent_value, param.default)
return ExecutedParam(execution_value, param, result_arg)
def create_default_params(execution_context, funcdef):
return [_create_default_param(execution_context, p)
def create_default_params(execution_value, funcdef):
return [_create_default_param(execution_value, p)
for p in funcdef.get_params()]