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[config.git] / djavu-asus / elpy / rpc-venv / lib / python3.11 / site-packages / jedi / inference / lazy_value.py
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1from jedi.inference.base_value import ValueSet, NO_VALUES
2from jedi.common import monkeypatch
3
4
5class AbstractLazyValue:
6 def __init__(self, data, min=1, max=1):
7 self.data = data
8 self.min = min
9 self.max = max
10
11 def __repr__(self):
12 return '<%s: %s>' % (self.__class__.__name__, self.data)
13
14 def infer(self):
15 raise NotImplementedError
16
17
18class LazyKnownValue(AbstractLazyValue):
19 """data is a Value."""
20 def infer(self):
21 return ValueSet([self.data])
22
23
24class LazyKnownValues(AbstractLazyValue):
25 """data is a ValueSet."""
26 def infer(self):
27 return self.data
28
29
30class LazyUnknownValue(AbstractLazyValue):
31 def __init__(self, min=1, max=1):
32 super().__init__(None, min, max)
33
34 def infer(self):
35 return NO_VALUES
36
37
38class LazyTreeValue(AbstractLazyValue):
39 def __init__(self, context, node, min=1, max=1):
40 super().__init__(node, min, max)
41 self.context = context
42 # We need to save the predefined names. It's an unfortunate side effect
43 # that needs to be tracked otherwise results will be wrong.
44 self._predefined_names = dict(context.predefined_names)
45
46 def infer(self):
47 with monkeypatch(self.context, 'predefined_names', self._predefined_names):
48 return self.context.infer_node(self.data)
49
50
51def get_merged_lazy_value(lazy_values):
52 if len(lazy_values) > 1:
53 return MergedLazyValues(lazy_values)
54 else:
55 return lazy_values[0]
56
57
58class MergedLazyValues(AbstractLazyValue):
59 """data is a list of lazy values."""
60 def infer(self):
61 return ValueSet.from_sets(l.infer() for l in self.data)