295 lines
11 KiB
Python
295 lines
11 KiB
Python
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"""
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Used only for REPL Completion.
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"""
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import inspect
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import os
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import sys
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from jedi.parser_utils import get_cached_code_lines
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from jedi._compatibility import unwrap
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from jedi import settings
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from jedi.cache import memoize_method
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from jedi.inference import compiled
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from jedi.file_io import FileIO
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from jedi.inference.names import NameWrapper
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from jedi.inference.base_value import ValueSet, ValueWrapper, NO_VALUES
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from jedi.inference.value import ModuleValue
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from jedi.inference.cache import inference_state_function_cache, \
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inference_state_method_cache
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from jedi.inference.compiled.access import ALLOWED_GETITEM_TYPES, get_api_type
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from jedi.inference.gradual.conversion import to_stub
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from jedi.inference.context import CompiledContext, CompiledModuleContext, \
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TreeContextMixin
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_sentinel = object()
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class MixedObject(ValueWrapper):
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"""
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A ``MixedObject`` is used in two ways:
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1. It uses the default logic of ``parser.python.tree`` objects,
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2. except for getattr calls and signatures. The names dicts are generated
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in a fashion like ``CompiledValue``.
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This combined logic makes it possible to provide more powerful REPL
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completion. It allows side effects that are not noticable with the default
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parser structure to still be completeable.
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The biggest difference from CompiledValue to MixedObject is that we are
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generally dealing with Python code and not with C code. This will generate
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fewer special cases, because we in Python you don't have the same freedoms
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to modify the runtime.
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"""
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def __init__(self, compiled_value, tree_value):
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super(MixedObject, self).__init__(tree_value)
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self.compiled_value = compiled_value
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self.access_handle = compiled_value.access_handle
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def get_filters(self, *args, **kwargs):
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yield MixedObjectFilter(
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self.inference_state, self.compiled_value, self._wrapped_value)
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def get_signatures(self):
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# Prefer `inspect.signature` over somehow analyzing Python code. It
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# should be very precise, especially for stuff like `partial`.
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return self.compiled_value.get_signatures()
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@inference_state_method_cache(default=NO_VALUES)
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def py__call__(self, arguments):
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# Fallback to the wrapped value if to stub returns no values.
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values = to_stub(self._wrapped_value)
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if not values:
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values = self._wrapped_value
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return values.py__call__(arguments)
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def get_safe_value(self, default=_sentinel):
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if default is _sentinel:
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return self.compiled_value.get_safe_value()
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else:
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return self.compiled_value.get_safe_value(default)
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def py__simple_getitem__(self, index):
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python_object = self.compiled_value.access_handle.access._obj
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if type(python_object) in ALLOWED_GETITEM_TYPES:
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return self.compiled_value.py__simple_getitem__(index)
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return self._wrapped_value.py__simple_getitem__(index)
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def _as_context(self):
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if self.parent_context is None:
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return MixedModuleContext(self)
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return MixedContext(self)
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def __repr__(self):
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return '<%s: %s; %s>' % (
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type(self).__name__,
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self.access_handle.get_repr(),
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self._wrapped_value,
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)
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class MixedContext(CompiledContext, TreeContextMixin):
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@property
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def compiled_value(self):
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return self._value.compiled_value
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class MixedModuleContext(CompiledModuleContext, MixedContext):
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pass
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class MixedName(NameWrapper):
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"""
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The ``CompiledName._compiled_value`` is our MixedObject.
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"""
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def __init__(self, wrapped_name, parent_tree_value):
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super(MixedName, self).__init__(wrapped_name)
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self._parent_tree_value = parent_tree_value
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@property
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def start_pos(self):
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values = list(self.infer())
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if not values:
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# This means a start_pos that doesn't exist (compiled objects).
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return 0, 0
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return values[0].name.start_pos
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@memoize_method
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def infer(self):
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compiled_value = self._wrapped_name.infer_compiled_value()
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tree_value = self._parent_tree_value
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if tree_value.is_instance() or tree_value.is_class():
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tree_values = tree_value.py__getattribute__(self.string_name)
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if compiled_value.is_function():
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return ValueSet({MixedObject(compiled_value, v) for v in tree_values})
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module_context = tree_value.get_root_context()
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return _create(self._inference_state, compiled_value, module_context)
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class MixedObjectFilter(compiled.CompiledValueFilter):
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def __init__(self, inference_state, compiled_value, tree_value):
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super(MixedObjectFilter, self).__init__(inference_state, compiled_value)
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self._tree_value = tree_value
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def _create_name(self, name):
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return MixedName(
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super(MixedObjectFilter, self)._create_name(name),
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self._tree_value,
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)
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@inference_state_function_cache()
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def _load_module(inference_state, path):
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return inference_state.parse(
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path=path,
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cache=True,
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diff_cache=settings.fast_parser,
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cache_path=settings.cache_directory
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).get_root_node()
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def _get_object_to_check(python_object):
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"""Check if inspect.getfile has a chance to find the source."""
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if sys.version_info[0] > 2:
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try:
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python_object = unwrap(python_object)
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except ValueError:
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# Can return a ValueError when it wraps around
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pass
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if (inspect.ismodule(python_object)
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or inspect.isclass(python_object)
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or inspect.ismethod(python_object)
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or inspect.isfunction(python_object)
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or inspect.istraceback(python_object)
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or inspect.isframe(python_object)
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or inspect.iscode(python_object)):
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return python_object
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try:
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return python_object.__class__
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except AttributeError:
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raise TypeError # Prevents computation of `repr` within inspect.
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def _find_syntax_node_name(inference_state, python_object):
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original_object = python_object
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try:
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python_object = _get_object_to_check(python_object)
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path = inspect.getsourcefile(python_object)
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except TypeError:
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# The type might not be known (e.g. class_with_dict.__weakref__)
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return None
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if path is None or not os.path.exists(path):
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# The path might not exist or be e.g. <stdin>.
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return None
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file_io = FileIO(path)
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module_node = _load_module(inference_state, path)
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if inspect.ismodule(python_object):
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# We don't need to check names for modules, because there's not really
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# a way to write a module in a module in Python (and also __name__ can
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# be something like ``email.utils``).
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code_lines = get_cached_code_lines(inference_state.grammar, path)
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return module_node, module_node, file_io, code_lines
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try:
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name_str = python_object.__name__
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except AttributeError:
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# Stuff like python_function.__code__.
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return None
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if name_str == '<lambda>':
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return None # It's too hard to find lambdas.
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# Doesn't always work (e.g. os.stat_result)
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names = module_node.get_used_names().get(name_str, [])
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# Only functions and classes are relevant. If a name e.g. points to an
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# import, it's probably a builtin (like collections.deque) and needs to be
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# ignored.
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names = [
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n for n in names
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if n.parent.type in ('funcdef', 'classdef') and n.parent.name == n
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]
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if not names:
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return None
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try:
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code = python_object.__code__
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# By using the line number of a code object we make the lookup in a
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# file pretty easy. There's still a possibility of people defining
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# stuff like ``a = 3; foo(a); a = 4`` on the same line, but if people
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# do so we just don't care.
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line_nr = code.co_firstlineno
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except AttributeError:
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pass
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else:
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line_names = [name for name in names if name.start_pos[0] == line_nr]
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# There's a chance that the object is not available anymore, because
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# the code has changed in the background.
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if line_names:
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names = line_names
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code_lines = get_cached_code_lines(inference_state.grammar, path)
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# It's really hard to actually get the right definition, here as a last
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# resort we just return the last one. This chance might lead to odd
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# completions at some points but will lead to mostly correct type
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# inference, because people tend to define a public name in a module only
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# once.
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tree_node = names[-1].parent
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if tree_node.type == 'funcdef' and get_api_type(original_object) == 'instance':
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# If an instance is given and we're landing on a function (e.g.
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# partial in 3.5), something is completely wrong and we should not
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# return that.
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return None
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return module_node, tree_node, file_io, code_lines
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@inference_state_function_cache()
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def _create(inference_state, compiled_value, module_context):
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# TODO accessing this is bad, but it probably doesn't matter that much,
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# because we're working with interpreteters only here.
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python_object = compiled_value.access_handle.access._obj
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result = _find_syntax_node_name(inference_state, python_object)
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if result is None:
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# TODO Care about generics from stuff like `[1]` and don't return like this.
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if type(python_object) in (dict, list, tuple):
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return ValueSet({compiled_value})
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tree_values = to_stub(compiled_value)
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if not tree_values:
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return ValueSet({compiled_value})
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else:
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module_node, tree_node, file_io, code_lines = result
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if module_context is None or module_context.tree_node != module_node:
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root_compiled_value = compiled_value.get_root_context().get_value()
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# TODO this __name__ might be wrong.
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name = root_compiled_value.py__name__()
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string_names = tuple(name.split('.'))
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module_value = ModuleValue(
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inference_state, module_node,
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file_io=file_io,
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string_names=string_names,
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code_lines=code_lines,
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is_package=root_compiled_value.is_package(),
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)
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if name is not None:
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inference_state.module_cache.add(string_names, ValueSet([module_value]))
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module_context = module_value.as_context()
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tree_values = ValueSet({module_context.create_value(tree_node)})
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if tree_node.type == 'classdef':
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if not compiled_value.is_class():
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# Is an instance, not a class.
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tree_values = tree_values.execute_with_values()
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return ValueSet(
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MixedObject(compiled_value, tree_value=tree_value)
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for tree_value in tree_values
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)
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