forked from VimPlug/jedi
infer_state -> inference_state
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@@ -24,7 +24,7 @@ from parso import parse, ParserSyntaxError
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from jedi._compatibility import u
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from jedi import debug
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from jedi.inference.utils import indent_block
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from jedi.inference.cache import infer_state_method_cache
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from jedi.inference.cache import inference_state_method_cache
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from jedi.inference.base_value import iterator_to_value_set, ValueSet, \
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NO_VALUES
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from jedi.inference.lazy_value import LazyKnownValues
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@@ -205,7 +205,7 @@ def _infer_for_statement_string(module_value, string):
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# will be impossible to use `...` (Ellipsis) as a token. Docstring types
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# don't need to conform with the current grammar.
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debug.dbg('Parse docstring code %s', string, color='BLUE')
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grammar = module_value.infer_state.latest_grammar
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grammar = module_value.inference_state.latest_grammar
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try:
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module = grammar.parse(code.format(indent_block(string)), error_recovery=False)
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except ParserSyntaxError:
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@@ -223,7 +223,7 @@ def _infer_for_statement_string(module_value, string):
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from jedi.inference.value import FunctionValue
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function_value = FunctionValue(
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module_value.infer_state,
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module_value.inference_state,
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module_value,
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funcdef
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)
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@@ -243,12 +243,12 @@ def _execute_types_in_stmt(module_value, stmt):
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"""
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definitions = module_value.infer_node(stmt)
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return ValueSet.from_sets(
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_execute_array_values(module_value.infer_state, d)
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_execute_array_values(module_value.inference_state, d)
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for d in definitions
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)
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def _execute_array_values(infer_state, array):
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def _execute_array_values(inference_state, array):
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"""
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Tuples indicate that there's not just one return value, but the listed
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ones. `(str, int)` means that it returns a tuple with both types.
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@@ -258,16 +258,16 @@ def _execute_array_values(infer_state, array):
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values = []
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for lazy_value in array.py__iter__():
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objects = ValueSet.from_sets(
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_execute_array_values(infer_state, typ)
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_execute_array_values(inference_state, typ)
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for typ in lazy_value.infer()
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)
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values.append(LazyKnownValues(objects))
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return {FakeSequence(infer_state, array.array_type, values)}
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return {FakeSequence(inference_state, array.array_type, values)}
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else:
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return array.execute_annotation()
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@infer_state_method_cache()
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@inference_state_method_cache()
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def infer_param(execution_value, param):
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from jedi.inference.value.instance import InstanceArguments
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from jedi.inference.value import FunctionExecutionValue
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@@ -294,7 +294,7 @@ def infer_param(execution_value, param):
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return types
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@infer_state_method_cache()
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@inference_state_method_cache()
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@iterator_to_value_set
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def infer_return_types(function_value):
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def search_return_in_docstr(code):
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