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davidhalter / jedi

Awesome autocompletion, static analysis and refactoring library for python
http://jedi.readthedocs.io
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completions throws AttributeError: 'ModuleContext' object has no attribute 'py__path__' #1479

Closed zero323 closed 4 years ago

zero323 commented 4 years ago

Environment:

python3 --version
# Python 3.7.6
python3 -m venv pyspark-jedi
source pyspark-jedi/bin/activate
pip install pyspark==2.4.4 wheel
pip install git+https://github.com/davidhalter/jedi@0c56aa4d4be211b2fd691dcd68fc1b06de2c6c52

Code:

from pyspark.sql import SparkSession
import jedi

jedi.Interpreter(
    "SparkSession.builder.getOrCreate().createDataFrame([]).",
    [globals()]
).completions()

Traceback

Traceback (most recent call last):
  File "repro.py", line 6, in <module>
    [globals()]
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/__init__.py", line 214, in completions
    return self.complete(*self._pos, fuzzy=fuzzy)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/helpers.py", line 456, in wrapper
    return func(self, line, column, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/__init__.py", line 202, in complete
    return self._complete(line, column, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/__init__.py", line 210, in _complete
    return completion.complete()
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/completion.py", line 146, in complete
    cached_name, completion_names = self._complete_python(leaf)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/completion.py", line 263, in _complete_python
    cached_name, n = self._complete_trailer(dot.get_previous_leaf())
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/completion.py", line 356, in _complete_trailer
    return cached_name, self._complete_trailer_for_values(values)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/api/completion.py", line 363, in _complete_trailer_for_values
    for filter in value.get_filters(origin_scope=user_context.tree_node):
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/value/instance.py", line 176, in get_filters
    class_value = self.get_annotated_class_object()
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/value/instance.py", line 358, in get_annotated_class_object
    return self._get_annotated_class_object() or self.class_value
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/cache.py", line 43, in wrapper
    rv = function(obj, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/value/instance.py", line 341, in _get_annotated_class_object
    if not signature.matches_signature(args) \
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/signature.py", line 107, in matches_signature
    for executed_param_name in executed_param_names)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/signature.py", line 107, in <genexpr>
    for executed_param_name in executed_param_names)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/param.py", line 34, in matches_signature
    argument_values = self.infer().py__class__()
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/param.py", line 29, in infer
    return self._lazy_value.infer()
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/lazy_value.py", line 46, in infer
    return self.context.infer_node(self.data)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/context.py", line 216, in infer_node
    return infer_node(self, node)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 137, in infer_node
    return _infer_node_if_inferred(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 150, in _infer_node_if_inferred
    return _infer_node_cached(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/cache.py", line 43, in wrapper
    rv = function(obj, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 155, in _infer_node_cached
    return _infer_node(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/debug.py", line 82, in wrapper
    return func(*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 63, in wrapper
    return func(context, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 189, in _infer_node
    value_set = infer_trailer(context, value_set, trailer)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 256, in infer_trailer
    name_or_str=node
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/base_value.py", line 395, in py__getattribute__
    return ValueSet.from_sets(c.py__getattribute__(*args, **kwargs) for c in self._set)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/common/value.py", line 32, in from_sets
    for set_ in sets:
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/base_value.py", line 395, in <genexpr>
    return ValueSet.from_sets(c.py__getattribute__(*args, **kwargs) for c in self._set)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/base_value.py", line 89, in py__getattribute__
    values = ValueSet.from_sets(name.infer() for name in names)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/common/value.py", line 32, in from_sets
    for set_ in sets:
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/base_value.py", line 89, in <genexpr>
    values = ValueSet.from_sets(name.infer() for name in names)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/names.py", line 276, in infer
    self.tree_name
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/plugins/__init__.py", line 21, in wrapper
    return built_functions[public_name](*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/plugins/stdlib.py", line 825, in wrapper
    return func(inference_state, context, tree_name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 713, in tree_name_to_values
    types = _remove_statements(context, node, tree_name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 648, in _remove_statements
    return infer_expr_stmt(context, stmt, seek_name=name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 63, in wrapper
    return func(context, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 359, in infer_expr_stmt
    return _infer_expr_stmt(context, stmt, seek_name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/debug.py", line 82, in wrapper
    return func(*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 391, in _infer_expr_stmt
    value_set = context.infer_node(rhs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/context.py", line 216, in infer_node
    return infer_node(self, node)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 137, in infer_node
    return _infer_node_if_inferred(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 150, in _infer_node_if_inferred
    return _infer_node_cached(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/cache.py", line 43, in wrapper
    rv = function(obj, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 155, in _infer_node_cached
    return _infer_node(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/debug.py", line 82, in wrapper
    return func(*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 63, in wrapper
    return func(context, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 178, in _infer_node
    value_set = context.infer_node(first_child)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/context.py", line 216, in infer_node
    return infer_node(self, node)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 137, in infer_node
    return _infer_node_if_inferred(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 150, in _infer_node_if_inferred
    return _infer_node_cached(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/cache.py", line 43, in wrapper
    rv = function(obj, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 155, in _infer_node_cached
    return _infer_node(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/debug.py", line 82, in wrapper
    return func(*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 63, in wrapper
    return func(context, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 165, in _infer_node
    return infer_atom(context, element)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 290, in infer_atom
    return context.py__getattribute__(atom, position=position)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/context.py", line 75, in py__getattribute__
    values = ValueSet.from_sets(name.infer() for name in names)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/common/value.py", line 32, in from_sets
    for set_ in sets:
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/context.py", line 75, in <genexpr>
    values = ValueSet.from_sets(name.infer() for name in names)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/names.py", line 276, in infer
    self.tree_name
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/plugins/__init__.py", line 21, in wrapper
    return built_functions[public_name](*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/plugins/stdlib.py", line 825, in wrapper
    return func(inference_state, context, tree_name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/syntax_tree.py", line 719, in tree_name_to_values
    types = imports.infer_import(context, tree_name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/cache.py", line 43, in wrapper
    rv = function(obj, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/imports.py", line 54, in infer_import
    _prepare_infer_import(module_context, tree_name)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/imports.py", line 117, in _prepare_infer_import
    return from_import_name, tuple(import_path), import_node.level, importer.follow()
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/imports.py", line 259, in follow
    self._inference_state, self.import_path, sys_path, self._module_context
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/imports.py", line 354, in import_module_by_names
    ) for parent_module_value in value_set
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/imports.py", line 354, in <listcomp>
    ) for parent_module_value in value_set
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/plugins/__init__.py", line 21, in wrapper
    return built_functions[public_name](*args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/plugins/flask.py", line 20, in wrapper
    return callback(inference_state, import_names, module_context, *args, **kwargs)
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/gradual/typeshed.py", line 115, in wrapper
    for p in parent_module_values
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/common/value.py", line 32, in from_sets
    for set_ in sets:
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/gradual/typeshed.py", line 115, in <genexpr>
    for p in parent_module_values
  File "/path/to/pyspark-jedi/lib/python3.7/site-packages/jedi/inference/imports.py", line 391, in import_module
    paths = parent_module_value.py__path__()
AttributeError: 'ModuleContext' object has no attribute 'py__path__'
davidhalter commented 4 years ago

Can you run it with jedi.set_debug_function() and send me the output?

The problem essentially is that parent_module_value is a context, but it should be a value.

zero323 commented 4 years ago

Here you are. Please let me know if you need anything else.

speed: init 0.09431767463684082
speed: parsed 0.09518074989318848
dbg: Start: complete
  dbg: infer_node <Name: SparkSession@1,0>@(1, 0) in MixedModuleContext(<ModuleValue: @1-1 is_stub=False>)
  dbg: context.goto <Name: SparkSession@1,0> in (MixedModuleContext(<ModuleValue: @1-1 is_stub=False>)): [<MixedName: (<CompiledValueName: string_name=>).SparkSession>]
  dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=>).SparkSession>] -> S{<MixedObject: <class 'pyspark.sql.session.SparkSession'>>}
 dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: builder@1,13>]) in S{<MixedObject: <class 'pyspark.sql.session.SparkSession'>>}
 dbg: context.goto <Name: builder@1,13> in (<MixedObject: <class 'pyspark.sql.session.SparkSession'>>): [<MixedName: (<ValueName: string_name=SparkSession start_pos=(63, 6)>).builder>]
 dbg: global search_module 'builtins': <CompiledObject: <module 'builtins' (built-in)>>
 dbg: execute: <ClassValue: <Class: Builder@80-187>> <ValuesArguments: []>
 dbg: execute result: S{<TreeInstance of <ClassValue: <Class: Builder@80-187>>(<ValuesArguments: []>)>} in <ClassValue: <Class: Builder@80-187>>
 dbg: context.names_to_types: [<MixedName: (<ValueName: string_name=SparkSession start_pos=(63, 6)>).builder>] -> S{<MixedObject: <pyspark.sql.session.SparkSession.Builder object a..>}
 dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: getOrCreate@1,21>]) in S{<MixedObject: <pyspark.sql.session.SparkSession.Builder object a..>}
 dbg: context.goto <Name: getOrCreate@1,21> in (<MixedObject: <pyspark.sql.session.SparkSession.Builder object a..>): [<MixedName: (<ValueName: string_name=Builder start_pos=(80, 10)>).getOrCreate>]
 dbg: context.names_to_types: [<MixedName: (<ValueName: string_name=Builder start_pos=(80, 10)>).getOrCreate>] -> S{<MixedObject: <bound method SparkSession.Builder.getOrCreate of ..>}
 dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Operator: )>]) in S{<MixedObject: <bound method SparkSession.Builder.getOrCreate of ..>}
 dbg: execute: <MixedObject: <bound method SparkSession.Builder.getOrCreate of ..> <TreeArguments: None>
   dbg: infer_node <Name: session@186,23>@(186, 23) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
    dbg: infer_node PythonNode(or_test, [PythonNode(comparison, [<Name: session@169,19>, <Keyword: is>, <Keyword: None>]), <Keyword: or>, PythonNode(comparison, [PythonNode(atom_expr, [<Name: session@169,38>, PythonNode(trailer, [<Operator: .>, <Name: _sc@169,46>]), PythonNode(trailer, [<Operator: .>, <Name: _jsc@169,50>])]), <Keyword: is>, <Keyword: None>])])@(169, 19) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
     dbg: infer_node PythonNode(comparison, [<Name: session@169,19>, <Keyword: is>, <Keyword: None>])@(169, 19) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
      dbg: infer_node <Name: session@169,19>@(169, 19) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
      dbg: context.goto <Name: session@169,19> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)): [<TreeNameDefinition: string_name=session start_pos=(168, 16)>]
       dbg: infer_expr_stmt <ExprStmt: session = SparkSession._instantiatedSession@168,16> (<Name: session@168,16>)
        dbg: infer_node PythonNode(atom_expr, [<Name: SparkSession@168,26>, PythonNode(trailer, [<Operator: .>, <Name: _instantiatedSession@168,39>])])@(168, 26) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
         dbg: infer_node <Name: SparkSession@168,26>@(168, 26) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
         dbg: context.goto <Name: SparkSession@168,26> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)): [<MixedName: (<CompiledValueName: string_name=session>).SparkSession>]
         dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).SparkSession>] -> S{<MixedObject: <class 'pyspark.sql.session.SparkSession'>>}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _instantiatedSession@168,39>]) in S{<MixedObject: <class 'pyspark.sql.session.SparkSession'>>}
        dbg: context.goto <Name: _instantiatedSession@168,39> in (<MixedObject: <class 'pyspark.sql.session.SparkSession'>>): [<MixedName: (<ValueName: string_name=SparkSession start_pos=(63, 6)>)._instantiatedSession>]
        dbg: Start: convert values
        dbg: End: convert values
        dbg: context.goto 'NoneType' in (<StubModuleValue: builtins@4-1651 is_stub=True>): []
        dbg: context.names_to_types: [] -> S{}
        dbg: context.names_to_types: [<MixedName: (<ValueName: string_name=SparkSession start_pos=(63, 6)>)._instantiatedSession>] -> S{<CompiledObject: None>}
       dbg: infer_expr_stmt result S{<CompiledObject: None>}
      dbg: context.names_to_types: [<TreeNameDefinition: string_name=session start_pos=(168, 16)>] -> S{<CompiledObject: None>}
      dbg: infer_node <Keyword: None>@(169, 30) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
     dbg: infer_or_test types S{<CompiledObject: True>}
    dbg: infer_or_test types S{<CompiledObject: True>}
   dbg: context.goto <Name: session@186,23> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)): [<TreeNameDefinition: string_name=session start_pos=(181, 20)>]
    dbg: infer_expr_stmt <ExprStmt: session = SparkSession(sc)@181,20> (<Name: session@181,20>)
     dbg: infer_node PythonNode(atom_expr, [<Name: SparkSession@181,30>, PythonNode(trailer, [<Operator: (>, <Name: sc@181,43>, <Operator: )>])])@(181, 30) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
      dbg: infer_node <Name: SparkSession@181,30>@(181, 30) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
      dbg: context.goto <Name: SparkSession@181,30> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)): [<MixedName: (<CompiledValueName: string_name=session>).SparkSession>]
      dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).SparkSession>] -> S{<MixedObject: <class 'pyspark.sql.session.SparkSession'>>}
     dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Name: sc@181,43>, <Operator: )>]) in S{<MixedObject: <class 'pyspark.sql.session.SparkSession'>>}
     dbg: execute: <MixedObject: <class 'pyspark.sql.session.SparkSession'>> <TreeArguments: <Name: sc@181,43>>
     dbg: execute result: S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>} in <MixedObject: <class 'pyspark.sql.session.SparkSession'>>
    dbg: infer_expr_stmt result S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
   dbg: context.names_to_types: [<TreeNameDefinition: string_name=session start_pos=(181, 20)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
  dbg: Return reachable: <ReturnStmt: return session@186,16>
 dbg: execute result: S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>} in <MixedObject: <bound method SparkSession.Builder.getOrCreate of ..>
 dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: createDataFrame@1,35>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
  dbg: infer_node <Name: object@63,19>@(63, 19) in MixedModuleContext(<MixedObject: <module 'pyspark.sql.session' from '/home/zero323/..>)
  dbg: context.goto <Name: object@63,19> in (MixedModuleContext(<MixedObject: <module 'pyspark.sql.session' from '/home/zero323/..>)): [<StubName: string_name=object start_pos=(40, 6)>]
  dbg: context.names_to_types: [<StubName: string_name=object start_pos=(40, 6)>] -> S{<ClassValue: <Class: object@40-70>>}
 dbg: context.goto '__init__' in (<ClassValue: <Class: SparkSession@63-843>>): [<ClassName: string_name=__init__ start_pos=(194, 8)>]
 dbg: decorator: <Decorator: @ignore_unicode_prefix@193,4> S{<MethodValue: <Function: __init__@194-234>>}
   dbg: infer_node <Name: ignore_unicode_prefix@193,5>@(193, 5) in ClassContext(<ClassValue: <Class: SparkSession@63-843>>)
   dbg: context.goto <Name: ignore_unicode_prefix@193,5> in (ClassContext(<ClassValue: <Class: SparkSession@63-843>>)): [<MixedName: (<CompiledValueName: string_name=session>).ignore_unicode_prefix>]
   dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).ignore_unicode_prefix>] -> S{<MixedObject: <function ignore_unicode_prefix at 0x7f615f55eb00>>}
  dbg: execute: <MixedObject: <function ignore_unicode_prefix at 0x7f615f55eb00>> <ValuesArguments: [S{<MethodValue: <Function: __init__@194-234>>}]>
    dbg: infer_node <Name: f@162,11>@(162, 11) in FunctionExecutionContext(<FunctionValue: <Function: ignore_unicode_prefix@152-163>>)
    dbg: context.goto <Name: f@162,11> in (FunctionExecutionContext(<FunctionValue: <Function: ignore_unicode_prefix@152-163>>)): [<ParamName: string_name=f start_pos=(152, 26)>]
    dbg: Found param types for docstring: S{}
    dbg: context.names_to_types: [<ParamName: string_name=f start_pos=(152, 26)>] -> S{<MethodValue: <Function: __init__@194-234>>}
   dbg: Return reachable: <ReturnStmt: return f@162,4>
  dbg: execute result: S{<MethodValue: <Function: __init__@194-234>>} in <MixedObject: <function ignore_unicode_prefix at 0x7f615f55eb00>>
 dbg: decorator end S{<MethodValue: <Function: __init__@194-234>>}
 dbg: context.names_to_types: [<ClassName: string_name=__init__ start_pos=(194, 8)>] -> S{<MethodValue: <Function: __init__@194-234>>}
  dbg: infer_node <Name: sc@181,43>@(181, 43) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
  dbg: context.goto <Name: sc@181,43> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)): [<TreeNameDefinition: string_name=sc start_pos=(173, 20)>]
   dbg: infer_expr_stmt <ExprStmt: sc = SparkContext.getOrCreate(sparkConf)@173,20> (<Name: sc@173,20>)
    dbg: infer_node PythonNode(atom_expr, [<Name: SparkContext@173,25>, PythonNode(trailer, [<Operator: .>, <Name: getOrCreate@173,38>]), PythonNode(trailer, [<Operator: (>, <Name: sparkConf@173,50>, <Operator: )>])])@(173, 25) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
     dbg: infer_node <Name: SparkContext@173,25>@(173, 25) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)
     dbg: context.goto <Name: SparkContext@173,25> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: getOrCreate@143-187>>>)): [<TreeNameDefinition: string_name=SparkContext start_pos=(166, 44)>]
     speed: import (<Name: pyspark@166,21>, <Name: context@166,29>) MixedModuleContext(<MixedObject: <module 'pyspark.sql.session' from '/home/zero323/..>) 0.1471543312072754
     dbg: global search_module 'pyspark': <ModuleValue: pyspark@18-123 is_stub=False>
     dbg: search_module 'pyspark.context' in paths ['/path/to/jedi/venv/lib/python3.7/site-packages/pyspark']: <ModuleValue: context@18-1111 is_stub=False>
     dbg: context.goto <Name: SparkContext@166,44> in (<ModuleValue: context@18-1111 is_stub=False>): [<TreeNameDefinition: string_name=SparkContext start_pos=(60, 6)>]
     dbg: context.names_to_types: [<TreeNameDefinition: string_name=SparkContext start_pos=(60, 6)>] -> S{<ClassValue: <Class: SparkContext@60-1093>>}
     dbg: after import: S{<ClassValue: <Class: SparkContext@60-1093>>}
     dbg: context.names_to_types: [<TreeNameDefinition: string_name=SparkContext start_pos=(166, 44)>] -> S{<ClassValue: <Class: SparkContext@60-1093>>}
    dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: getOrCreate@173,38>]) in S{<ClassValue: <Class: SparkContext@60-1093>>}
     dbg: infer_node <Name: object@60,19>@(60, 19) in ModuleContext(<ModuleValue: context@18-1111 is_stub=False>)
     dbg: context.goto <Name: object@60,19> in (ModuleContext(<ModuleValue: context@18-1111 is_stub=False>)): [<StubName: string_name=object start_pos=(40, 6)>]
     dbg: context.names_to_types: [<StubName: string_name=object start_pos=(40, 6)>] -> S{<ClassValue: <Class: object@40-70>>}
    dbg: context.goto <Name: getOrCreate@173,38> in (<ClassValue: <Class: SparkContext@60-1093>>): [<ClassName: string_name=getOrCreate start_pos=(359, 8)>]
    dbg: decorator: <Decorator: @classmethod@358,4> S{<MethodValue: <Function: getOrCreate@359-369>>}
      dbg: infer_node <Name: classmethod@358,5>@(358, 5) in ClassContext(<ClassValue: <Class: SparkContext@60-1093>>)
      dbg: context.goto <Name: classmethod@358,5> in (ClassContext(<ClassValue: <Class: SparkContext@60-1093>>)): [<StubName: string_name=classmethod start_pos=(80, 6)>]
      dbg: context.names_to_types: [<StubName: string_name=classmethod start_pos=(80, 6)>] -> S{<ClassValue: <Class: classmethod@80-88>>}
     dbg: builtin start <ClassValue: <Class: classmethod@80-88>>
     dbg: builtin end: S{ClassMethodObject(<TreeInstance of <ClassValue: <Class: classmethod@80-88>>(<ValuesArguments: [S{<MethodValue: <Function: getOrCreate@359-369>>}]>)>)}
    dbg: decorator end S{ClassMethodObject(<TreeInstance of <ClassValue: <Class: classmethod@80-88>>(<ValuesArguments: [S{<MethodValue: <Function: getOrCreate@359-369>>}]>)>)}
     dbg: infer_node <Name: object@80,18>@(80, 18) in StubModuleContext(<StubModuleValue: builtins@4-1651 is_stub=True>)
     dbg: context.goto <Name: object@80,18> in (StubModuleContext(<StubModuleValue: builtins@4-1651 is_stub=True>)): [<TreeNameDefinition: string_name=object start_pos=(40, 6)>]
     dbg: context.names_to_types: [<TreeNameDefinition: string_name=object start_pos=(40, 6)>] -> S{<ClassValue: <Class: object@40-70>>}
    dbg: context.goto '__init__' in (<ClassValue: <Class: classmethod@80-88>>): [<ClassName: string_name=__init__ start_pos=(85, 8)>]
    dbg: context.names_to_types: [<ClassName: string_name=__init__ start_pos=(85, 8)>] -> S{<MethodValue: <Function: __init__@85-86>>}
    dbg: global search_module 'types': <ModuleValue: types@1-296 is_stub=False>
    dbg: context.goto 'FunctionType' in (<StubModuleValue: types@6-289 is_stub=True>): [<StubName: string_name=FunctionType start_pos=(25, 6)>]
    dbg: context.names_to_types: [<StubName: string_name=FunctionType start_pos=(25, 6)>] -> S{<ClassValue: <Class: FunctionType@25-38>>}
     dbg: infer_node PythonNode(atom_expr, [<Name: Callable@85,26>, PythonNode(trailer, [<Operator: [>, PythonNode(subscriptlist, [<Operator: ...>, <Operator: ,>, <Name: Any@85,40>]), <Operator: ]>])])@(85, 26) in ClassContext(<ClassValue: <Class: classmethod@80-88>>)
      dbg: infer_node <Name: Callable@85,26>@(85, 26) in ClassContext(<ClassValue: <Class: classmethod@80-88>>)
      dbg: context.goto <Name: Callable@85,26> in (ClassContext(<ClassValue: <Class: classmethod@80-88>>)): [<TreeNameDefinition: string_name=Callable start_pos=(6, 80)>]
      speed: import (<Name: typing@4,5>,) StubModuleContext(<StubModuleValue: builtins@4-1651 is_stub=True>) 0.1875472068786621
      dbg: global search_module 'typing': <ModuleValue: typing@1-1650 is_stub=False>
      dbg: context.goto <Name: Callable@6,80> in (<TypingModuleWrapper: typing@3-646 is_stub=True>): [TypingModuleName(<StubName: string_name=Callable start_pos=(22, 0)>)]
      dbg: context.names_to_types: [TypingModuleName(<StubName: string_name=Callable start_pos=(22, 0)>)] -> S{ProxyTypingClassValue(Callable)}
      dbg: after import: S{ProxyTypingClassValue(Callable)}
      dbg: context.names_to_types: [<TreeNameDefinition: string_name=Callable start_pos=(6, 80)>] -> S{ProxyTypingClassValue(Callable)}
      dbg: infer_node <Operator: ...>@(85, 35) in ClassContext(<ClassValue: <Class: classmethod@80-88>>)
       dbg: infer_node <Name: ellipsis@1462,10>@(1462, 10) in StubModuleContext(<StubModuleValue: builtins@4-1651 is_stub=True>)
       dbg: context.goto <Name: ellipsis@1462,10> in (StubModuleContext(<StubModuleValue: builtins@4-1651 is_stub=True>)): [<TreeNameDefinition: string_name=ellipsis start_pos=(1461, 6)>]
       dbg: context.names_to_types: [<TreeNameDefinition: string_name=ellipsis start_pos=(1461, 6)>] -> S{<ClassValue: <Class: ellipsis@1461-1462>>}
      dbg: execute: <ClassValue: <Class: ellipsis@1461-1462>> <ValuesArguments: []>
      dbg: execute result: S{<TreeInstance of <ClassValue: <Class: ellipsis@1461-1462>>(<ValuesArguments: []>)>} in <ClassValue: <Class: ellipsis@1461-1462>>
      dbg: infer_node <Name: Any@85,40>@(85, 40) in ClassContext(<ClassValue: <Class: classmethod@80-88>>)
      dbg: context.goto <Name: Any@85,40> in (ClassContext(<ClassValue: <Class: classmethod@80-88>>)): [<TreeNameDefinition: string_name=Any start_pos=(6, 69)>]
      speed: import (<Name: typing@4,5>,) StubModuleContext(<StubModuleValue: builtins@4-1651 is_stub=True>) 0.22384262084960938
      dbg: context.goto <Name: Any@6,69> in (<TypingModuleWrapper: typing@3-646 is_stub=True>): [TypingModuleName(<StubName: string_name=Any start_pos=(12, 0)>)]
      dbg: context.names_to_types: [TypingModuleName(<StubName: string_name=Any start_pos=(12, 0)>)] -> S{Any(Any)}
      dbg: after import: S{Any(Any)}
      dbg: context.names_to_types: [<TreeNameDefinition: string_name=Any start_pos=(6, 69)>] -> S{Any(Any)}
     dbg: Start: Resolve lazy value wrapper
     dbg: End: Resolve lazy value wrapper
     dbg: py__getitem__ result: S{TypingClassValueWithIndex(Callable<LazyG>[S{<TreeInstance of <ClassValue: <Class: ellipsis@1461-1462>>(<ValuesArguments: []>)>}, S{Any(Any)}])}
    dbg: Start: Resolve lazy value wrapper
    dbg: End: Resolve lazy value wrapper
    dbg: context.goto 'object' in (<StubModuleValue: builtins@4-1651 is_stub=True>): [<StubName: string_name=object start_pos=(40, 6)>]
    dbg: context.names_to_types: [<StubName: string_name=object start_pos=(40, 6)>] -> S{<ClassValue: <Class: object@40-70>>}
    dbg: param compare False: S{<ClassValue: <Class: FunctionType@25-38>>} <=> S{TypingClassValueWithIndex(Callable<LazyG>[S{<TreeInstance of <ClassValue: <Class: ellipsis@1461-1462>>(<ValuesArguments: []>)>}, S{Any(Any)}])}
    dbg: Overloading no match: '__init__(self, f: Callable[..., Any]) -> None'@85 (<InstanceArguments: <ValuesArguments: [S{<MethodValue: <Function: getOrCreate@359-369>>}]>>)
    dbg: context.goto '__get__' in (<TreeInstance of <ClassValue: <Class: classmethod@80-88>>(<ValuesArguments: [S{<MethodValue: <Function: getOrCreate@359-369>>}]>)>): [LazyInstanceClassName(<ClassName: string_name=__get__ start_pos=(87, 8)>)]
    dbg: context.names_to_types: [LazyInstanceClassName(<ClassName: string_name=__get__ start_pos=(87, 8)>)] -> S{<BoundMethod: <MethodValue: <Function: __get__@87-88>>>}
    dbg: context.names_to_types: [<ClassName: string_name=getOrCreate start_pos=(359, 8)>] -> S{ClassMethodGet(<BoundMethod: <MethodValue: <Function: __get__@87-88>>>)}
    dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Name: sparkConf@173,50>, <Operator: )>]) in S{ClassMethodGet(<BoundMethod: <MethodValue: <Function: __get__@87-88>>>)}
    dbg: execute: ClassMethodGet(<BoundMethod: <MethodValue: <Function: __get__@87-88>>>) <TreeArguments: <Name: sparkConf@173,50>>
     dbg: execute: <MethodValue: <Function: getOrCreate@359-369>> <ClassMethodArguments: <TreeArguments: <Name: sparkConf@173,50>>>
       dbg: infer_node PythonNode(atom_expr, [<Name: SparkContext@368,19>, PythonNode(trailer, [<Operator: .>, <Name: _active_spark_context@368,32>])])@(368, 19) in FunctionExecutionContext(<MethodValue: <Function: getOrCreate@359-369>>)
        dbg: infer_node <Name: SparkContext@368,19>@(368, 19) in FunctionExecutionContext(<MethodValue: <Function: getOrCreate@359-369>>)
        dbg: context.goto <Name: SparkContext@368,19> in (FunctionExecutionContext(<MethodValue: <Function: getOrCreate@359-369>>)): [<TreeNameDefinition: string_name=SparkContext start_pos=(60, 6)>]
        dbg: context.names_to_types: [<TreeNameDefinition: string_name=SparkContext start_pos=(60, 6)>] -> S{<ClassValue: <Class: SparkContext@60-1093>>}
       dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _active_spark_context@368,32>]) in S{<ClassValue: <Class: SparkContext@60-1093>>}
       dbg: context.goto <Name: _active_spark_context@368,32> in (<ClassValue: <Class: SparkContext@60-1093>>): [<ClassName: string_name=_active_spark_context start_pos=(75, 4)>]
        dbg: infer_expr_stmt <ExprStmt: _active_spark_context = None@75,4> (<Name: _active_spark_context@75,4>)
         dbg: infer_node <Keyword: None>@(75, 28) in ClassContext(<ClassValue: <Class: SparkContext@60-1093>>)
        dbg: infer_expr_stmt result S{<CompiledObject: None>}
       warning: No __get__ defined on <CompiledObject: None>
       dbg: context.names_to_types: [<ClassName: string_name=_active_spark_context start_pos=(75, 4)>] -> S{<CompiledObject: None>}
      dbg: Return reachable: <ReturnStmt: return SparkContext._active_spark_context@368,12>
     dbg: execute result: S{<CompiledObject: None>} in <MethodValue: <Function: getOrCreate@359-369>>
    dbg: execute result: S{<CompiledObject: None>} in ClassMethodGet(<BoundMethod: <MethodValue: <Function: __get__@87-88>>>)
   dbg: infer_expr_stmt result S{<CompiledObject: None>}
  dbg: context.names_to_types: [<TreeNameDefinition: string_name=sc start_pos=(173, 20)>] -> S{<CompiledObject: None>}
 dbg: Overloading match: '__init__(self, sparkContext, jsparkSession=None)'@194 (<InstanceArguments: <TreeArguments: <Name: sc@181,43>>>)
 dbg: context.goto <Name: createDataFrame@1,35> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [LazyInstanceClassName(<ClassName: string_name=createDataFrame start_pos=(587, 8)>)]
 dbg: decorator: <Decorator: @ignore_unicode_prefix@586,4> S{<MethodValue: <Function: createDataFrame@587-754>>}
   dbg: infer_node <Name: ignore_unicode_prefix@586,5>@(586, 5) in ClassContext(<ClassValue: <Class: SparkSession@63-843>>)
   dbg: context.goto <Name: ignore_unicode_prefix@586,5> in (ClassContext(<ClassValue: <Class: SparkSession@63-843>>)): [<MixedName: (<CompiledValueName: string_name=session>).ignore_unicode_prefix>]
   dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).ignore_unicode_prefix>] -> S{<MixedObject: <function ignore_unicode_prefix at 0x7f615f55eb00>>}
  dbg: execute: <MixedObject: <function ignore_unicode_prefix at 0x7f615f55eb00>> <ValuesArguments: [S{<MethodValue: <Function: createDataFrame@587-754>>}]>
    dbg: infer_node <Name: f@162,11>@(162, 11) in FunctionExecutionContext(<FunctionValue: <Function: ignore_unicode_prefix@152-163>>)
    dbg: context.goto <Name: f@162,11> in (FunctionExecutionContext(<FunctionValue: <Function: ignore_unicode_prefix@152-163>>)): [<ParamName: string_name=f start_pos=(152, 26)>]
    dbg: context.names_to_types: [<ParamName: string_name=f start_pos=(152, 26)>] -> S{<MethodValue: <Function: createDataFrame@587-754>>}
   dbg: Return reachable: <ReturnStmt: return f@162,4>
  dbg: execute result: S{<MethodValue: <Function: createDataFrame@587-754>>} in <MixedObject: <function ignore_unicode_prefix at 0x7f615f55eb00>>
 dbg: decorator end S{<MethodValue: <Function: createDataFrame@587-754>>}
 dbg: decorator: <Decorator: @since(2.0)@585,4> S{<MethodValue: <Function: createDataFrame@587-754>>}
   dbg: infer_node <Name: since@585,5>@(585, 5) in ClassContext(<ClassValue: <Class: SparkSession@63-843>>)
   dbg: context.goto <Name: since@585,5> in (ClassContext(<ClassValue: <Class: SparkSession@63-843>>)): [<MixedName: (<CompiledValueName: string_name=session>).since>]
   dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).since>] -> S{<MixedObject: <function since at 0x7f615ff923b0>>}
  dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Number: 2.0>, <Operator: )>]) in S{<MixedObject: <function since at 0x7f615ff923b0>>}
  dbg: execute: <MixedObject: <function since at 0x7f615ff923b0>> <TreeArguments: <Number: 2.0>>
    dbg: infer_node <Name: deco@77,11>@(77, 11) in FunctionExecutionContext(<FunctionValue: <Function: since@65-78>>)
    dbg: context.goto <Name: deco@77,11> in (FunctionExecutionContext(<FunctionValue: <Function: since@65-78>>)): [<TreeNameDefinition: string_name=deco start_pos=(72, 8)>]
    dbg: context.names_to_types: [<TreeNameDefinition: string_name=deco start_pos=(72, 8)>] -> S{<FunctionValue: <Function: deco@72-77>>}
   dbg: Return reachable: <ReturnStmt: return deco@77,4>
  dbg: execute result: S{<FunctionValue: <Function: deco@72-77>>} in <MixedObject: <function since at 0x7f615ff923b0>>
  dbg: execute: <FunctionValue: <Function: deco@72-77>> <ValuesArguments: [S{<MethodValue: <Function: createDataFrame@587-754>>}]>
    dbg: infer_node <Name: f@76,15>@(76, 15) in FunctionExecutionContext(<FunctionValue: <Function: deco@72-77>>)
    dbg: context.goto <Name: f@76,15> in (FunctionExecutionContext(<FunctionValue: <Function: deco@72-77>>)): [<ParamName: string_name=f start_pos=(72, 13)>]
    dbg: Found param types for docstring: S{}
    dbg: context.names_to_types: [<ParamName: string_name=f start_pos=(72, 13)>] -> S{<MethodValue: <Function: createDataFrame@587-754>>}
   dbg: Return reachable: <ReturnStmt: return f@76,8>
  dbg: execute result: S{<MethodValue: <Function: createDataFrame@587-754>>} in <FunctionValue: <Function: deco@72-77>>
 dbg: decorator end S{<MethodValue: <Function: createDataFrame@587-754>>}
 dbg: context.names_to_types: [LazyInstanceClassName(<ClassName: string_name=createDataFrame start_pos=(587, 8)>)] -> S{<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>}
 dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, PythonNode(atom, [<Operator: [>, <Operator: ]>]), <Operator: )>]) in S{<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>}
 dbg: execute: <BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>> <TreeArguments: PythonNode(atom, [<Operator: [>, <Operator: ]>])>
   dbg: infer_node PythonNode(atom_expr, [<Name: self@702,27>, PythonNode(trailer, [<Operator: .>, <Name: _create_from_pandas_with_arrow@702,32>]), PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [<Name: data@702,63>, <Operator: ,>, <Name: schema@702,69>, <Operator: ,>, <Name: timezone@702,77>]), <Operator: )>])])@(702, 27) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
    dbg: infer_node <Name: self@702,27>@(702, 27) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
    dbg: context.goto <Name: self@702,27> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)): [<ParamName: string_name=self start_pos=(587, 24)>]
    dbg: Found param types for docstring: S{}
    dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(587, 24)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
   dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _create_from_pandas_with_arrow@702,32>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
   dbg: context.goto <Name: _create_from_pandas_with_arrow@702,32> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [LazyInstanceClassName(<ClassName: string_name=_create_from_pandas_with_arrow start_pos=(498, 8)>)]
   dbg: context.names_to_types: [LazyInstanceClassName(<ClassName: string_name=_create_from_pandas_with_arrow start_pos=(498, 8)>)] -> S{<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>}
   dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [<Name: data@702,63>, <Operator: ,>, <Name: schema@702,69>, <Operator: ,>, <Name: timezone@702,77>]), <Operator: )>]) in S{<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>}
   dbg: execute: <BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>> <TreeArguments: PythonNode(arglist, [<Name: data@702,63>, <Operator: ,>, <Name: schema@702,69>, <Operator: ,>, <Name: timezone@702,77>])>
     dbg: infer_node <Name: df@556,15>@(556, 15) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>)
     dbg: context.goto <Name: df@556,15> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>)): [<TreeNameDefinition: string_name=df start_pos=(554, 8)>]
      dbg: infer_expr_stmt <ExprStmt: df = DataFrame(jdf, self._wrapped)@554,8> (<Name: df@554,8>)
       dbg: infer_node PythonNode(atom_expr, [<Name: DataFrame@554,13>, PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])]), <Operator: )>])])@(554, 13) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>)
        dbg: infer_node <Name: DataFrame@554,13>@(554, 13) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>)
        dbg: context.goto <Name: DataFrame@554,13> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>)): [<MixedName: (<CompiledValueName: string_name=session>).DataFrame>]
        dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).DataFrame>] -> S{<MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>>}
       dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])]), <Operator: )>]) in S{<MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>>}
       dbg: execute: <MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>> <TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>
       dbg: execute result: S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>)>} in <MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>>
      dbg: infer_expr_stmt result S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>)>}
     dbg: context.names_to_types: [<TreeNameDefinition: string_name=df start_pos=(554, 8)>] -> S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>)>}
    dbg: Return reachable: <ReturnStmt: return df@556,8>
   dbg: execute result: S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>)>} in <BoundMethod: <MethodValue: <Function: _create_from_pandas_with_arrow@498-557>>>
   dbg: infer_node <Name: df@753,15>@(753, 15) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
   dbg: context.goto <Name: df@753,15> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)): [<TreeNameDefinition: string_name=df start_pos=(751, 8)>]
    dbg: infer_expr_stmt <ExprStmt: df = DataFrame(jdf, self._wrapped)@751,8> (<Name: df@751,8>)
     dbg: infer_node PythonNode(atom_expr, [<Name: DataFrame@751,13>, PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])]), <Operator: )>])])@(751, 13) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
      dbg: infer_node <Name: DataFrame@751,13>@(751, 13) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
      dbg: context.goto <Name: DataFrame@751,13> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)): [<MixedName: (<CompiledValueName: string_name=session>).DataFrame>]
      dbg: context.names_to_types: [<MixedName: (<CompiledValueName: string_name=session>).DataFrame>] -> S{<MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>>}
     dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])]), <Operator: )>]) in S{<MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>>}
     dbg: execute: <MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>> <TreeArguments: PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])])>
     dbg: execute result: S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])])>)>} in <MixedObject: <class 'pyspark.sql.dataframe.DataFrame'>>
    dbg: infer_expr_stmt result S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])])>)>}
   dbg: context.names_to_types: [<TreeNameDefinition: string_name=df start_pos=(751, 8)>] -> S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])])>)>}
  dbg: Return reachable: <ReturnStmt: return df@753,8>
 dbg: execute result: S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])])>)>, <TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>)>} in <BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>
 dbg: trailer completion values: S{<TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@751,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])])>)>, <TreeInstance of <ClassValue: <Class: DataFrame@49-2204>>(<TreeArguments: PythonNode(arglist, [<Name: jdf@554,23>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@554,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@554,33>])])])>)>}
  dbg: infer_node <Name: object@49,16>@(49, 16) in MixedModuleContext(<MixedObject: <module 'pyspark.sql.dataframe' from '/home/zero32..>)
  dbg: context.goto <Name: object@49,16> in (MixedModuleContext(<MixedObject: <module 'pyspark.sql.dataframe' from '/home/zero32..>)): [<StubName: string_name=object start_pos=(40, 6)>]
  dbg: context.names_to_types: [<StubName: string_name=object start_pos=(40, 6)>] -> S{<ClassValue: <Class: object@40-70>>}
 dbg: context.goto '__init__' in (<ClassValue: <Class: DataFrame@49-2204>>): [<ClassName: string_name=__init__ start_pos=(76, 8)>]
 dbg: context.names_to_types: [<ClassName: string_name=__init__ start_pos=(76, 8)>] -> S{<MethodValue: <Function: __init__@76-86>>}
  dbg: infer_node <Name: jdf@751,23>@(751, 23) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
  dbg: context.goto <Name: jdf@751,23> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)): [<TreeNameDefinition: string_name=jdf start_pos=(750, 8)>]
   dbg: infer_expr_stmt <ExprStmt: jdf = self._jsparkSession.applySchemaToPythonRDD(jrdd.rdd(), schema.json())@750,8> (<Name: jdf@750,8>)
    dbg: infer_node PythonNode(atom_expr, [<Name: self@750,14>, PythonNode(trailer, [<Operator: .>, <Name: _jsparkSession@750,19>]), PythonNode(trailer, [<Operator: .>, <Name: applySchemaToPythonRDD@750,34>]), PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [PythonNode(atom_expr, [<Name: jrdd@750,57>, PythonNode(trailer, [<Operator: .>, <Name: rdd@750,62>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])]), <Operator: ,>, PythonNode(atom_expr, [<Name: schema@750,69>, PythonNode(trailer, [<Operator: .>, <Name: json@750,76>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])])]), <Operator: )>])])@(750, 14) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
     dbg: infer_node <Name: self@750,14>@(750, 14) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
     dbg: context.goto <Name: self@750,14> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)): [<ParamName: string_name=self start_pos=(587, 24)>]
     dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(587, 24)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
    dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _jsparkSession@750,19>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
    dbg: context.goto <Name: self@222,8> in (AnonymousMethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<InstanceExecutedParamName: string_name=self start_pos=(194, 17)>]
    dbg: context.goto <Name: _jsparkSession@750,19> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [<SelfName: string_name=_jsparkSession start_pos=(222, 13)>]
     dbg: infer_expr_stmt <ExprStmt: self._jsparkSession = jsparkSession@222,8> (<Name: _jsparkSession@222,13>)
      dbg: infer_node <Name: jsparkSession@222,30>@(222, 30) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
       dbg: infer_node PythonNode(and_test, [PythonNode(atom_expr, [<Name: self@216,15>, PythonNode(trailer, [<Operator: .>, <Name: _jvm@216,20>]), PythonNode(trailer, [<Operator: .>, <Name: SparkSession@216,25>]), PythonNode(trailer, [<Operator: .>, <Name: getDefaultSession@216,38>]), PythonNode(trailer, [<Operator: (>, <Operator: )>]), PythonNode(trailer, [<Operator: .>, <Name: isDefined@216,58>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])]), <Keyword: and>, PythonNode(not_test, [<Keyword: not>, PythonNode(atom_expr, [<Name: self@217,28>, PythonNode(trailer, [<Operator: .>, <Name: _jvm@217,33>]), PythonNode(trailer, [<Operator: .>, <Name: SparkSession@217,38>]), PythonNode(trailer, [<Operator: .>, <Name: getDefaultSession@217,51>]), PythonNode(trailer, [<Operator: (>, <Operator: )>]), PythonNode(trailer, [<Operator: .>, <Name: get@217,71>]), PythonNode(trailer, [<Operator: (>, <Operator: )>]), PythonNode(trailer, [<Operator: .>, <Name: sparkContext@218,25>]), PythonNode(trailer, [<Operator: (>, <Operator: )>]), PythonNode(trailer, [<Operator: .>, <Name: isStopped@218,40>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])])])])@(216, 15) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
        dbg: infer_node PythonNode(atom_expr, [<Name: self@216,15>, PythonNode(trailer, [<Operator: .>, <Name: _jvm@216,20>]), PythonNode(trailer, [<Operator: .>, <Name: SparkSession@216,25>]), PythonNode(trailer, [<Operator: .>, <Name: getDefaultSession@216,38>]), PythonNode(trailer, [<Operator: (>, <Operator: )>]), PythonNode(trailer, [<Operator: .>, <Name: isDefined@216,58>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])])@(216, 15) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
         dbg: infer_node <Name: self@216,15>@(216, 15) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
         dbg: context.goto <Name: self@216,15> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<ParamName: string_name=self start_pos=(194, 17)>]
         dbg: Found param types for docstring: S{}
         dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(194, 17)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _jvm@216,20>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
        dbg: context.goto <Name: self@214,8> in (AnonymousMethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<InstanceExecutedParamName: string_name=self start_pos=(194, 17)>]
        dbg: context.goto <Name: _jvm@216,20> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [<SelfName: string_name=_jvm start_pos=(214, 13)>]
         dbg: infer_expr_stmt <ExprStmt: self._jvm = self._sc._jvm@214,8> (<Name: _jvm@214,13>)
          dbg: infer_node PythonNode(atom_expr, [<Name: self@214,20>, PythonNode(trailer, [<Operator: .>, <Name: _sc@214,25>]), PythonNode(trailer, [<Operator: .>, <Name: _jvm@214,29>])])@(214, 20) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
           dbg: infer_node <Name: self@214,20>@(214, 20) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
           dbg: context.goto <Name: self@214,20> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<ParamName: string_name=self start_pos=(194, 17)>]
           dbg: Found param types for docstring: S{}
           dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(194, 17)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
          dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _sc@214,25>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
          dbg: context.goto <Name: self@212,8> in (AnonymousMethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<InstanceExecutedParamName: string_name=self start_pos=(194, 17)>]
          dbg: context.goto <Name: _sc@214,25> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [<SelfName: string_name=_sc start_pos=(212, 13)>]
           dbg: infer_expr_stmt <ExprStmt: self._sc = sparkContext@212,8> (<Name: _sc@212,13>)
            dbg: infer_node <Name: sparkContext@212,19>@(212, 19) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
            dbg: context.goto <Name: sparkContext@212,19> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<ParamName: string_name=sparkContext start_pos=(194, 23)>]
            dbg: Found param types for docstring: S{}
            dbg: context.names_to_types: [<ParamName: string_name=sparkContext start_pos=(194, 23)>] -> S{<CompiledObject: None>}
           dbg: infer_expr_stmt result S{<CompiledObject: None>}
          dbg: context.names_to_types: [<SelfName: string_name=_sc start_pos=(212, 13)>] -> S{<CompiledObject: None>}
          dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _jvm@214,29>]) in S{<CompiledObject: None>}
          dbg: context.goto <Name: _jvm@214,29> in (<CompiledObject: None>): []
          warning: /path/to/jedi/venv/lib/python3.7/site-packages/pyspark/sql/session.py:214:29: E1 AttributeError: <CompiledObject: None> has no attribute <Name: _jvm@214,29>.
          dbg: context.names_to_types: [] -> S{}
         dbg: infer_expr_stmt result S{}
        dbg: execute: <BoundMethod: <MethodValue: <Function: __getattribute__@61-62>>> <ValuesArguments: [S{<CompiledValue: <CompiledObject: '_jvm'>>}]>
          dbg: infer_node <Name: Any@61,45>@(61, 45) in ClassContext(<ClassValue: <Class: object@40-70>>)
          dbg: context.goto <Name: Any@61,45> in (ClassContext(<ClassValue: <Class: object@40-70>>)): [<TreeNameDefinition: string_name=Any start_pos=(6, 69)>]
          dbg: context.names_to_types: [<TreeNameDefinition: string_name=Any start_pos=(6, 69)>] -> S{Any(Any)}
         warning: Used Any - returned no results
        dbg: execute result: S{} in <BoundMethod: <MethodValue: <Function: __getattribute__@61-62>>>
        dbg: context.names_to_types: [<SelfName: string_name=_jvm start_pos=(214, 13)>] -> S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: SparkSession@216,25>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: getDefaultSession@216,38>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Operator: )>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: isDefined@216,58>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Operator: )>]) in S{}
       dbg: infer_or_test types S{}
      dbg: context.goto <Name: jsparkSession@222,30> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<TreeNameDefinition: string_name=jsparkSession start_pos=(221, 16)>, <TreeNameDefinition: string_name=jsparkSession start_pos=(219, 16)>, <ParamName: string_name=jsparkSession start_pos=(194, 37)>]
       dbg: infer_expr_stmt <ExprStmt: jsparkSession = self._jvm.SparkSession(self._jsc.sc())@221,16> (<Name: jsparkSession@221,16>)
        dbg: infer_node PythonNode(atom_expr, [<Name: self@221,32>, PythonNode(trailer, [<Operator: .>, <Name: _jvm@221,37>]), PythonNode(trailer, [<Operator: .>, <Name: SparkSession@221,42>]), PythonNode(trailer, [<Operator: (>, PythonNode(atom_expr, [<Name: self@221,55>, PythonNode(trailer, [<Operator: .>, <Name: _jsc@221,60>]), PythonNode(trailer, [<Operator: .>, <Name: sc@221,65>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])]), <Operator: )>])])@(221, 32) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
         dbg: infer_node <Name: self@221,32>@(221, 32) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
         dbg: context.goto <Name: self@221,32> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<ParamName: string_name=self start_pos=(194, 17)>]
         dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(194, 17)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _jvm@221,37>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
        dbg: context.goto <Name: self@214,8> in (AnonymousMethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<InstanceExecutedParamName: string_name=self start_pos=(194, 17)>]
        dbg: context.goto <Name: _jvm@221,37> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [<SelfName: string_name=_jvm start_pos=(214, 13)>]
         dbg: infer_expr_stmt <ExprStmt: self._jvm = self._sc._jvm@214,8> (<Name: _jvm@214,13>)
         dbg: infer_expr_stmt result S{}
        dbg: execute: <BoundMethod: <MethodValue: <Function: __getattribute__@61-62>>> <ValuesArguments: [S{<CompiledValue: <CompiledObject: '_jvm'>>}]>
         warning: Used Any - returned no results
        dbg: execute result: S{} in <BoundMethod: <MethodValue: <Function: __getattribute__@61-62>>>
        dbg: context.names_to_types: [<SelfName: string_name=_jvm start_pos=(214, 13)>] -> S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: SparkSession@221,42>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, PythonNode(atom_expr, [<Name: self@221,55>, PythonNode(trailer, [<Operator: .>, <Name: _jsc@221,60>]), PythonNode(trailer, [<Operator: .>, <Name: sc@221,65>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])]), <Operator: )>]) in S{}
       dbg: infer_expr_stmt result S{}
       dbg: infer_expr_stmt <ExprStmt: jsparkSession = self._jvm.SparkSession.getDefaultSession().get()@219,16> (<Name: jsparkSession@219,16>)
        dbg: infer_node PythonNode(atom_expr, [<Name: self@219,32>, PythonNode(trailer, [<Operator: .>, <Name: _jvm@219,37>]), PythonNode(trailer, [<Operator: .>, <Name: SparkSession@219,42>]), PythonNode(trailer, [<Operator: .>, <Name: getDefaultSession@219,55>]), PythonNode(trailer, [<Operator: (>, <Operator: )>]), PythonNode(trailer, [<Operator: .>, <Name: get@219,75>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])])@(219, 32) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
         dbg: infer_node <Name: self@219,32>@(219, 32) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
         dbg: context.goto <Name: self@219,32> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<ParamName: string_name=self start_pos=(194, 17)>]
         dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(194, 17)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _jvm@219,37>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
        dbg: context.goto <Name: self@214,8> in (AnonymousMethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<InstanceExecutedParamName: string_name=self start_pos=(194, 17)>]
        dbg: context.goto <Name: _jvm@219,37> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [<SelfName: string_name=_jvm start_pos=(214, 13)>]
         dbg: infer_expr_stmt <ExprStmt: self._jvm = self._sc._jvm@214,8> (<Name: _jvm@214,13>)
         dbg: infer_expr_stmt result S{}
        dbg: execute: <BoundMethod: <MethodValue: <Function: __getattribute__@61-62>>> <ValuesArguments: [S{<CompiledValue: <CompiledObject: '_jvm'>>}]>
         warning: Used Any - returned no results
        dbg: execute result: S{} in <BoundMethod: <MethodValue: <Function: __getattribute__@61-62>>>
        dbg: context.names_to_types: [<SelfName: string_name=_jvm start_pos=(214, 13)>] -> S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: SparkSession@219,42>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: getDefaultSession@219,55>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Operator: )>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: get@219,75>]) in S{}
        dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, <Operator: )>]) in S{}
       dbg: infer_expr_stmt result S{}
      dbg: Found param types for docstring: S{}
       dbg: infer_node <Keyword: None>@(194, 51) in ClassContext(<ClassValue: <Class: SparkSession@63-843>>)
      dbg: context.names_to_types: [<TreeNameDefinition: string_name=jsparkSession start_pos=(221, 16)>, <TreeNameDefinition: string_name=jsparkSession start_pos=(219, 16)>, <ParamName: string_name=jsparkSession start_pos=(194, 37)>] -> S{<CompiledObject: None>}
     dbg: infer_expr_stmt result S{<CompiledObject: None>}
    dbg: context.names_to_types: [<SelfName: string_name=_jsparkSession start_pos=(222, 13)>] -> S{<CompiledObject: None>}
    dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: applySchemaToPythonRDD@750,34>]) in S{<CompiledObject: None>}
    dbg: context.goto <Name: applySchemaToPythonRDD@750,34> in (<CompiledObject: None>): []
    warning: /path/to/jedi/venv/lib/python3.7/site-packages/pyspark/sql/session.py:750:34: E1 AttributeError: <CompiledObject: None> has no attribute <Name: applySchemaToPythonRDD@750,34>.
    dbg: context.names_to_types: [] -> S{}
    dbg: infer_trailer: PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [PythonNode(atom_expr, [<Name: jrdd@750,57>, PythonNode(trailer, [<Operator: .>, <Name: rdd@750,62>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])]), <Operator: ,>, PythonNode(atom_expr, [<Name: schema@750,69>, PythonNode(trailer, [<Operator: .>, <Name: json@750,76>]), PythonNode(trailer, [<Operator: (>, <Operator: )>])])]), <Operator: )>]) in S{}
   dbg: infer_expr_stmt result S{}
  dbg: context.names_to_types: [<TreeNameDefinition: string_name=jdf start_pos=(750, 8)>] -> S{}
  dbg: infer_node PythonNode(atom_expr, [<Name: self@751,28>, PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>])])@(751, 28) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
   dbg: infer_node <Name: self@751,28>@(751, 28) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)
   dbg: context.goto <Name: self@751,28> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: createDataFrame@587-754>>>)): [<ParamName: string_name=self start_pos=(587, 24)>]
   dbg: context.names_to_types: [<ParamName: string_name=self start_pos=(587, 24)>] -> S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
  dbg: infer_trailer: PythonNode(trailer, [<Operator: .>, <Name: _wrapped@751,33>]) in S{<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>}
  dbg: context.goto <Name: self@224,8> in (AnonymousMethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<InstanceExecutedParamName: string_name=self start_pos=(194, 17)>]
  dbg: context.goto <Name: _wrapped@751,33> in (<TreeInstance of <ClassValue: <Class: SparkSession@63-843>>(<TreeArguments: <Name: sc@181,43>>)>): [<SelfName: string_name=_wrapped start_pos=(224, 13)>]
   dbg: infer_expr_stmt <ExprStmt: self._wrapped = SQLContext(self._sc, self, self._jwrapped)@224,8> (<Name: _wrapped@224,13>)
    dbg: infer_node PythonNode(atom_expr, [<Name: SQLContext@224,24>, PythonNode(trailer, [<Operator: (>, PythonNode(arglist, [PythonNode(atom_expr, [<Name: self@224,35>, PythonNode(trailer, [<Operator: .>, <Name: _sc@224,40>])]), <Operator: ,>, <Name: self@224,45>, <Operator: ,>, PythonNode(atom_expr, [<Name: self@224,51>, PythonNode(trailer, [<Operator: .>, <Name: _jwrapped@224,56>])])]), <Operator: )>])])@(224, 24) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
     dbg: infer_node <Name: SQLContext@224,24>@(224, 24) in MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)
     dbg: context.goto <Name: SQLContext@224,24> in (MethodExecutionContext(<BoundMethod: <MethodValue: <Function: __init__@194-234>>>)): [<TreeNameDefinition: string_name=SQLContext start_pos=(211, 40)>]
     speed: import (<Name: pyspark@211,13>, <Name: sql@211,21>, <Name: context@211,25>) MixedModuleContext(<MixedObject: <module 'pyspark.sql.session' from '/home/zero323/..>) 0.3581387996673584
dbg: End: complete