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infer_state -> inference_state

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Dave Halter
2019-08-16 11:44:30 +02:00
parent fffb39227e
commit 03920502c4
60 changed files with 727 additions and 727 deletions
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18
jedi/inference/arguments.py
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@@ -11,7 +11,7 @@ from jedi.inference.lazy_value import LazyKnownValue, LazyKnownValues, \
from jedi.inference.names import ParamName, TreeNameDefinition
from jedi.inference.base_value import NO_VALUES, ValueSet, ValueualizedNode
from jedi.inference.value import iterable
from jedi.inference.cache import infer_state_as_method_param_cache
from jedi.inference.cache import inference_state_as_method_param_cache
from jedi.inference.param import get_executed_params_and_issues, ExecutedParam
@@ -59,7 +59,7 @@ def repack_with_argument_clinic(string, keep_arguments_param=False, keep_callbac
kwargs.pop('callback', None)
try:
args += tuple(_iterate_argument_clinic(
value.infer_state,
value.inference_state,
arguments,
clinic_args
))
@@ -72,7 +72,7 @@ def repack_with_argument_clinic(string, keep_arguments_param=False, keep_callbac
return decorator
def _iterate_argument_clinic(infer_state, arguments, parameters):
def _iterate_argument_clinic(inference_state, arguments, parameters):
"""Uses a list with argument clinic information (see PEP 436)."""
iterator = PushBackIterator(arguments.unpack())
for i, (name, optional, allow_kwargs, stars) in enumerate(parameters):
@@ -84,7 +84,7 @@ def _iterate_argument_clinic(infer_state, arguments, parameters):
break
lazy_values.append(argument)
yield ValueSet([iterable.FakeSequence(infer_state, u'tuple', lazy_values)])
yield ValueSet([iterable.FakeSequence(inference_state, u'tuple', lazy_values)])
lazy_values
continue
elif stars == 2:
@@ -161,7 +161,7 @@ class AnonymousArguments(AbstractArguments):
def get_executed_params_and_issues(self, execution_value):
from jedi.inference.dynamic import search_params
return search_params(
execution_value.infer_state,
execution_value.inference_state,
execution_value,
execution_value.tree_node
), []
@@ -198,17 +198,17 @@ def unpack_arglist(arglist):
class TreeArguments(AbstractArguments):
def __init__(self, infer_state, value, argument_node, trailer=None):
def __init__(self, inference_state, value, argument_node, trailer=None):
"""
:param argument_node: May be an argument_node or a list of nodes.
"""
self.argument_node = argument_node
self.value = value
self._infer_state = infer_state
self._inference_state = inference_state
self.trailer = trailer # Can be None, e.g. in a class definition.
@classmethod
@infer_state_as_method_param_cache()
@inference_state_as_method_param_cache()
def create_cached(cls, *args, **kwargs):
return cls(*args, **kwargs)
@@ -241,7 +241,7 @@ class TreeArguments(AbstractArguments):
if sync_comp_for.type == 'comp_for':
sync_comp_for = sync_comp_for.children[1]
comp = iterable.GeneratorComprehension(
self._infer_state,
self._inference_state,
defining_value=self.value,
sync_comp_for_node=sync_comp_for,
entry_node=el.children[0],