Merge branch 'master' into python3

jedi/inference/base_value.py

@@ -176,6 +176,9 @@ class Value(HelperValueMixin):
                 message="TypeError: '%s' object is not iterable" % self)
         return iter([])
 
+    def py__next__(self, contextualized_node=None):
+        return self.py__iter__(contextualized_node)
+
     def get_signatures(self):
         return []
 

jedi/inference/compiled/mixed.py

@@ -69,12 +69,22 @@ class MixedObject(ValueWrapper):
         else:
             return self.compiled_value.get_safe_value(default)
 
+    @property
+    def array_type(self):
+        return self.compiled_value.array_type
+
+    def get_key_values(self):
+        return self.compiled_value.get_key_values()
+
     def py__simple_getitem__(self, index):
         python_object = self.compiled_value.access_handle.access._obj
         if type(python_object) in ALLOWED_GETITEM_TYPES:
             return self.compiled_value.py__simple_getitem__(index)
         return self._wrapped_value.py__simple_getitem__(index)
 
+    def negate(self):
+        return self.compiled_value.negate()
+
     def _as_context(self):
         if self.parent_context is None:
             return MixedModuleContext(self)

jedi/inference/compiled/subprocess/__init__.py

@@ -165,21 +165,12 @@ class InferenceStateSubprocess(_InferenceStateProcess):
 class CompiledSubprocess(object):
     is_crashed = False
 
-    def __init__(self, executable, env_vars={}):
+    def __init__(self, executable, env_vars=None):
         self._executable = executable
-        self._env_vars = dict(env_vars)
+        self._env_vars = env_vars
         self._inference_state_deletion_queue = queue.deque()
         self._cleanup_callable = lambda: None
 
-        # Use explicit envionment to ensure reliable results (#1540)
-        if os.name == 'nt':
-            # if SYSTEMROOT (or case variant) exists in environment,
-            # ensure it goes to subprocess
-            for k, v in os.environ.items():
-                if 'SYSTEMROOT' == k.upper():
-                    self._env_vars.update({k: os.environ[k]})
-                    break  # don't risk multiple entries
-
     def __repr__(self):
         pid = os.getpid()
         return '<%s _executable=%r, is_crashed=%r, pid=%r>' % (

jedi/inference/value/function.py

@@ -201,7 +201,7 @@ class MethodValue(FunctionValue):
 
 
 class BaseFunctionExecutionContext(ValueContext, TreeContextMixin):
-    def _infer_annotations(self):
+    def infer_annotations(self):
         raise NotImplementedError
 
     @inference_state_method_cache(default=NO_VALUES)
@@ -215,7 +215,7 @@ class BaseFunctionExecutionContext(ValueContext, TreeContextMixin):
             value_set = NO_VALUES
             returns = get_yield_exprs(self.inference_state, funcdef)
         else:
-            value_set = self._infer_annotations()
+            value_set = self.infer_annotations()
             if value_set:
                 # If there are annotations, prefer them over anything else.
                 # This will make it faster.
@@ -367,7 +367,7 @@ class FunctionExecutionContext(BaseFunctionExecutionContext):
             arguments=self._arguments
         )
 
-    def _infer_annotations(self):
+    def infer_annotations(self):
         from jedi.inference.gradual.annotation import infer_return_types
         return infer_return_types(self._value, self._arguments)
 
@@ -379,7 +379,7 @@ class FunctionExecutionContext(BaseFunctionExecutionContext):
 
 
 class AnonymousFunctionExecution(BaseFunctionExecutionContext):
-    def _infer_annotations(self):
+    def infer_annotations(self):
         # I don't think inferring anonymous executions is a big thing.
         # Anonymous contexts are mostly there for the user to work in. ~ dave
         return NO_VALUES

jedi/inference/value/instance.py

@@ -255,21 +255,20 @@ class _BaseTreeInstance(AbstractInstanceValue):
 
         def iterate():
             for generator in self.execute_function_slots(iter_slot_names):
-                if generator.is_instance() and not generator.is_compiled():
-                    # `__next__` logic.
-                    name = '__next__'
-                    next_slot_names = generator.get_function_slot_names(name)
-                    if next_slot_names:
-                        yield LazyKnownValues(
-                            generator.execute_function_slots(next_slot_names)
-                        )
-                    else:
-                        debug.warning('Instance has no __next__ function in %s.', generator)
-                else:
-                    for lazy_value in generator.py__iter__():
-                        yield lazy_value
+                for lazy_value in generator.py__next__(contextualized_node):
+                    yield lazy_value
         return iterate()
 
+    def py__next__(self, contextualized_node=None):
+        name = u'__next__'
+        next_slot_names = self.get_function_slot_names(name)
+        if next_slot_names:
+            yield LazyKnownValues(
+                self.execute_function_slots(next_slot_names)
+            )
+        else:
+            debug.warning('Instance has no __next__ function in %s.', self)
+
     def py__call__(self, arguments):
         names = self.get_function_slot_names('__call__')
         if not names:

jedi/inference/value/iterable.py

@@ -20,6 +20,9 @@ from jedi.inference.value.dynamic_arrays import check_array_additions
 
 
 class IterableMixin(object):
+    def py__next__(self, contextualized_node=None):
+        return self.py__iter__(contextualized_node)
+
     def py__stop_iteration_returns(self):
         return ValueSet([compiled.builtin_from_name(self.inference_state, 'None')])
 
@@ -36,13 +39,12 @@ class GeneratorBase(LazyAttributeOverwrite, IterableMixin):
     array_type = None
 
     def _get_wrapped_value(self):
-        generator, = self.inference_state.typing_module \
-            .py__getattribute__('Generator') \
-            .execute_annotation()
-        return generator
+        instance, = self._get_cls().execute_annotation()
+        return instance
 
-    def is_instance(self):
-        return False
+    def _get_cls(self):
+        generator, = self.inference_state.typing_module.py__getattribute__('Generator')
+        return generator
 
     def py__bool__(self):
         return True
@@ -52,9 +54,8 @@ class GeneratorBase(LazyAttributeOverwrite, IterableMixin):
         return ValueSet([self])
 
     @publish_method('send')
-    @publish_method('next')
     @publish_method('__next__')
-    def py__next__(self, arguments):
+    def _next(self, arguments):
         return ValueSet.from_sets(lazy_value.infer() for lazy_value in self.py__iter__())
 
     def py__stop_iteration_returns(self):
@@ -64,6 +65,12 @@ class GeneratorBase(LazyAttributeOverwrite, IterableMixin):
     def name(self):
         return compiled.CompiledValueName(self, 'Generator')
 
+    def get_annotated_class_object(self):
+        from jedi.inference.gradual.generics import TupleGenericManager
+        gen_values = self.merge_types_of_iterate().py__class__()
+        gm = TupleGenericManager((gen_values, NO_VALUES, NO_VALUES))
+        return self._get_cls().with_generics(gm)
+
 
 class Generator(GeneratorBase):
     """Handling of `yield` functions."""
@@ -72,6 +79,9 @@ class Generator(GeneratorBase):
         self._func_execution_context = func_execution_context
 
     def py__iter__(self, contextualized_node=None):
+        iterators = self._func_execution_context.infer_annotations()
+        if iterators:
+            return iterators.iterate(contextualized_node)
         return self._func_execution_context.get_yield_lazy_values()
 
     def py__stop_iteration_returns(self):