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