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# This file also re-exports symbols for wider use. We configure mypy and flake8
# to be aware that this file does this.
from jedi.inference.compiled.value import CompiledValue, CompiledName, \
CompiledValueFilter, CompiledValueName, create_from_access_path
from jedi.inference.base_value import LazyValueWrapper
def builtin_from_name(inference_state, string):
typing_builtins_module = inference_state.builtins_module
if string in ('None', 'True', 'False'):
builtins, = typing_builtins_module.non_stub_value_set
filter_ = next(builtins.get_filters())
else:
filter_ = next(typing_builtins_module.get_filters())
name, = filter_.get(string)
value, = name.infer()
return value
class ExactValue(LazyValueWrapper):
"""
This class represents exact values, that makes operations like additions
and exact boolean values possible, while still being a "normal" stub.
"""
def __init__(self, compiled_value):
self.inference_state = compiled_value.inference_state
self._compiled_value = compiled_value
def __getattribute__(self, name):
if name in ('get_safe_value', 'execute_operation', 'access_handle',
'negate', 'py__bool__', 'is_compiled'):
return getattr(self._compiled_value, name)
return super().__getattribute__(name)
def _get_wrapped_value(self):
instance, = builtin_from_name(
self.inference_state, self._compiled_value.name.string_name).execute_with_values()
return instance
def __repr__(self):
return '<%s: %s>' % (self.__class__.__name__, self._compiled_value)
def create_simple_object(inference_state, obj):
"""
Only allows creations of objects that are easily picklable across Python
versions.
"""
assert type(obj) in (int, float, str, bytes, slice, complex, bool), repr(obj)
compiled_value = create_from_access_path(
inference_state,
inference_state.compiled_subprocess.create_simple_object(obj)
)
return ExactValue(compiled_value)
def get_string_value_set(inference_state):
return builtin_from_name(inference_state, 'str').execute_with_values()
def load_module(inference_state, dotted_name, **kwargs):
# Temporary, some tensorflow builtins cannot be loaded, so it's tried again
# and again and it's really slow.
if dotted_name.startswith('tensorflow.'):
return None
access_path = inference_state.compiled_subprocess.load_module(dotted_name=dotted_name, **kwargs)
if access_path is None:
return None
return create_from_access_path(inference_state, access_path)
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