Language lint/sphinx

sdk/cognitivelanguage/azure-ai-language-conversations/azure/ai/language/conversations/_operations/_operations.py

@@ -299,9 +299,6 @@ def analyze_conversation(self, task: Union[JSON, IO[bytes]], **kwargs: Any) -> J
         :param task: A single conversational task to execute. Is either a JSON type or a IO[bytes]
          type. Required.
         :type task: JSON or IO[bytes]
-        :keyword content_type: Body Parameter content-type. Known values are: 'application/json'.
-         Default value is None.
-        :paramtype content_type: str
         :return: JSON object
         :rtype: JSON
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -550,13 +547,6 @@ def begin_conversation_analysis(
         :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
          Default value is "application/json".
         :paramtype content_type: str
-        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
-        :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
-         this operation to not poll, or pass in your own initialized polling object for a personal
-         polling strategy.
-        :paramtype polling: bool or ~azure.core.polling.PollingMethod
-        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
-         Retry-After header is present.
         :return: An instance of LROPoller that returns JSON object
         :rtype: ~azure.core.polling.LROPoller[JSON]
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -675,13 +665,6 @@ def begin_conversation_analysis(
         :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
          Default value is "application/json".
         :paramtype content_type: str
-        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
-        :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
-         this operation to not poll, or pass in your own initialized polling object for a personal
-         polling strategy.
-        :paramtype polling: bool or ~azure.core.polling.PollingMethod
-        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
-         Retry-After header is present.
         :return: An instance of LROPoller that returns JSON object
         :rtype: ~azure.core.polling.LROPoller[JSON]
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -783,16 +766,6 @@ def begin_conversation_analysis(self, task: Union[JSON, IO[bytes]], **kwargs: An
         :param task: Collection of conversations to analyze and one or more tasks to execute. Is either
          a JSON type or a IO[bytes] type. Required.
         :type task: JSON or IO[bytes]
-        :keyword content_type: Body Parameter content-type. Known values are: 'application/json'.
-         Default value is None.
-        :paramtype content_type: str
-        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
-        :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
-         this operation to not poll, or pass in your own initialized polling object for a personal
-         polling strategy.
-        :paramtype polling: bool or ~azure.core.polling.PollingMethod
-        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
-         Retry-After header is present.
         :return: An instance of LROPoller that returns JSON object
         :rtype: ~azure.core.polling.LROPoller[JSON]
         :raises ~azure.core.exceptions.HttpResponseError:

sdk/cognitivelanguage/azure-ai-language-conversations/azure/ai/language/conversations/_serialization.py

@@ -170,13 +170,6 @@ def deserialize_from_http_generics(cls, body_bytes: Optional[Union[AnyStr, IO]],
         return None
 
 
-try:
-    basestring  # type: ignore
-    unicode_str = unicode  # type: ignore
-except NameError:
-    basestring = str
-    unicode_str = str
-
 _LOGGER = logging.getLogger(__name__)
 
 try:
@@ -545,7 +538,7 @@ class Serializer(object):
         "multiple": lambda x, y: x % y != 0,
     }
 
-    def __init__(self, classes: Optional[Mapping[str, Type[ModelType]]] = None):
+    def __init__(self, classes: Optional[Mapping[str, type]] = None):
         self.serialize_type = {
             "iso-8601": Serializer.serialize_iso,
             "rfc-1123": Serializer.serialize_rfc,
@@ -561,7 +554,7 @@ def __init__(self, classes: Optional[Mapping[str, Type[ModelType]]] = None):
             "[]": self.serialize_iter,
             "{}": self.serialize_dict,
         }
-        self.dependencies: Dict[str, Type[ModelType]] = dict(classes) if classes else {}
+        self.dependencies: Dict[str, type] = dict(classes) if classes else {}
         self.key_transformer = full_restapi_key_transformer
         self.client_side_validation = True
 
@@ -649,7 +642,7 @@ def _serialize(self, target_obj, data_type=None, **kwargs):
                         else:  # That's a basic type
                             # Integrate namespace if necessary
                             local_node = _create_xml_node(xml_name, xml_prefix, xml_ns)
-                            local_node.text = unicode_str(new_attr)
+                            local_node.text = str(new_attr)
                             serialized.append(local_node)  # type: ignore
                     else:  # JSON
                         for k in reversed(keys):  # type: ignore
@@ -994,7 +987,7 @@ def serialize_object(self, attr, **kwargs):
             return self.serialize_basic(attr, self.basic_types[obj_type], **kwargs)
         if obj_type is _long_type:
             return self.serialize_long(attr)
-        if obj_type is unicode_str:
+        if obj_type is str:
             return self.serialize_unicode(attr)
         if obj_type is datetime.datetime:
             return self.serialize_iso(attr)
@@ -1370,7 +1363,7 @@ class Deserializer(object):
 
     valid_date = re.compile(r"\d{4}[-]\d{2}[-]\d{2}T\d{2}:\d{2}:\d{2}" r"\.?\d*Z?[-+]?[\d{2}]?:?[\d{2}]?")
 
-    def __init__(self, classes: Optional[Mapping[str, Type[ModelType]]] = None):
+    def __init__(self, classes: Optional[Mapping[str, type]] = None):
         self.deserialize_type = {
             "iso-8601": Deserializer.deserialize_iso,
             "rfc-1123": Deserializer.deserialize_rfc,
@@ -1390,7 +1383,7 @@ def __init__(self, classes: Optional[Mapping[str, Type[ModelType]]] = None):
             "duration": (isodate.Duration, datetime.timedelta),
             "iso-8601": (datetime.datetime),
         }
-        self.dependencies: Dict[str, Type[ModelType]] = dict(classes) if classes else {}
+        self.dependencies: Dict[str, type] = dict(classes) if classes else {}
         self.key_extractors = [rest_key_extractor, xml_key_extractor]
         # Additional properties only works if the "rest_key_extractor" is used to
         # extract the keys. Making it to work whatever the key extractor is too much
@@ -1443,7 +1436,7 @@ def _deserialize(self, target_obj, data):
 
         response, class_name = self._classify_target(target_obj, data)
 
-        if isinstance(response, basestring):
+        if isinstance(response, str):
             return self.deserialize_data(data, response)
         elif isinstance(response, type) and issubclass(response, Enum):
             return self.deserialize_enum(data, response)
@@ -1514,14 +1507,14 @@ def _classify_target(self, target, data):
         if target is None:
             return None, None
 
-        if isinstance(target, basestring):
+        if isinstance(target, str):
             try:
                 target = self.dependencies[target]
             except KeyError:
                 return target, target
 
         try:
-            target = target._classify(data, self.dependencies)
+            target = target._classify(data, self.dependencies)  # type: ignore
         except AttributeError:
             pass  # Target is not a Model, no classify
         return target, target.__class__.__name__  # type: ignore
@@ -1577,7 +1570,7 @@ def _unpack_content(raw_data, content_type=None):
         if hasattr(raw_data, "_content_consumed"):
             return RawDeserializer.deserialize_from_http_generics(raw_data.text, raw_data.headers)
 
-        if isinstance(raw_data, (basestring, bytes)) or hasattr(raw_data, "read"):
+        if isinstance(raw_data, (str, bytes)) or hasattr(raw_data, "read"):
             return RawDeserializer.deserialize_from_text(raw_data, content_type)  # type: ignore
         return raw_data
 
@@ -1699,7 +1692,7 @@ def deserialize_object(self, attr, **kwargs):
         if isinstance(attr, ET.Element):
             # Do no recurse on XML, just return the tree as-is
             return attr
-        if isinstance(attr, basestring):
+        if isinstance(attr, str):
             return self.deserialize_basic(attr, "str")
         obj_type = type(attr)
         if obj_type in self.basic_types:
@@ -1756,7 +1749,7 @@ def deserialize_basic(self, attr, data_type):
         if data_type == "bool":
             if attr in [True, False, 1, 0]:
                 return bool(attr)
-            elif isinstance(attr, basestring):
+            elif isinstance(attr, str):
                 if attr.lower() in ["true", "1"]:
                     return True
                 elif attr.lower() in ["false", "0"]:

sdk/cognitivelanguage/azure-ai-language-conversations/azure/ai/language/conversations/aio/_operations/_operations.py

@@ -253,9 +253,6 @@ async def analyze_conversation(self, task: Union[JSON, IO[bytes]], **kwargs: Any
         :param task: A single conversational task to execute. Is either a JSON type or a IO[bytes]
          type. Required.
         :type task: JSON or IO[bytes]
-        :keyword content_type: Body Parameter content-type. Known values are: 'application/json'.
-         Default value is None.
-        :paramtype content_type: str
         :return: JSON object
         :rtype: JSON
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -504,13 +501,6 @@ async def begin_conversation_analysis(
         :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
          Default value is "application/json".
         :paramtype content_type: str
-        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
-        :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False
-         for this operation to not poll, or pass in your own initialized polling object for a personal
-         polling strategy.
-        :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
-        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
-         Retry-After header is present.
         :return: An instance of AsyncLROPoller that returns JSON object
         :rtype: ~azure.core.polling.AsyncLROPoller[JSON]
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -629,13 +619,6 @@ async def begin_conversation_analysis(
         :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
          Default value is "application/json".
         :paramtype content_type: str
-        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
-        :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False
-         for this operation to not poll, or pass in your own initialized polling object for a personal
-         polling strategy.
-        :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
-        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
-         Retry-After header is present.
         :return: An instance of AsyncLROPoller that returns JSON object
         :rtype: ~azure.core.polling.AsyncLROPoller[JSON]
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -737,16 +720,6 @@ async def begin_conversation_analysis(self, task: Union[JSON, IO[bytes]], **kwar
         :param task: Collection of conversations to analyze and one or more tasks to execute. Is either
          a JSON type or a IO[bytes] type. Required.
         :type task: JSON or IO[bytes]
-        :keyword content_type: Body Parameter content-type. Known values are: 'application/json'.
-         Default value is None.
-        :paramtype content_type: str
-        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
-        :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False
-         for this operation to not poll, or pass in your own initialized polling object for a personal
-         polling strategy.
-        :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
-        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
-         Retry-After header is present.
         :return: An instance of AsyncLROPoller that returns JSON object
         :rtype: ~azure.core.polling.AsyncLROPoller[JSON]
         :raises ~azure.core.exceptions.HttpResponseError: