feat: regenerate services based on current API def

ibm_watson/discovery_v2.py

@@ -585,6 +585,8 @@ def update_document(self,
         **Note:** This operation only works on collections created to accept direct file
         uploads. It cannot be used to modify a collection that connects to an external
         source such as Microsoft SharePoint.
+        **Note:** If an uploaded document is segmented, all segments will be overwritten,
+        even if the updated version of the document has fewer segments.
 
         :param str project_id: The ID of the project. This information can be found
                from the deploy page of the Discovery administrative tooling.
@@ -665,6 +667,8 @@ def delete_document(self,
         **Note:** This operation only works on collections created to accept direct file
         uploads. It cannot be used to modify a collection that connects to an external
         source such as Microsoft SharePoint.
+        **Note:** Segments of an uploaded document cannot be deleted individually. Delete
+        all segments by deleting using the `parent_document_id` of a segment result.
 
         :param str project_id: The ID of the project. This information can be found
                from the deploy page of the Discovery administrative tooling.

ibm_watson/natural_language_understanding_v1.py

@@ -2701,8 +2701,10 @@ class Model():
     :attr str description: (optional) Model description.
     :attr str workspace_id: (optional) ID of the Watson Knowledge Studio workspace
           that deployed this model to Natural Language Understanding.
-    :attr str version: (optional) The model version, if it was manually provided in
-          Watson Knowledge Studio.
+    :attr str model_version: (optional) The model version, if it was manually
+          provided in Watson Knowledge Studio.
+    :attr str version: (optional) (Deprecated — use `model_version`) The model
+          version, if it was manually provided in Watson Knowledge Studio.
     :attr str version_description: (optional) The description of the version, if it
           was manually provided in Watson Knowledge Studio.
     :attr datetime created: (optional) A dateTime indicating when the model was
@@ -2716,6 +2718,7 @@ def __init__(self,
                  language: str = None,
                  description: str = None,
                  workspace_id: str = None,
+                 model_version: str = None,
                  version: str = None,
                  version_description: str = None,
                  created: datetime = None) -> None:
@@ -2730,8 +2733,10 @@ def __init__(self,
         :param str description: (optional) Model description.
         :param str workspace_id: (optional) ID of the Watson Knowledge Studio
                workspace that deployed this model to Natural Language Understanding.
-        :param str version: (optional) The model version, if it was manually
+        :param str model_version: (optional) The model version, if it was manually
                provided in Watson Knowledge Studio.
+        :param str version: (optional) (Deprecated — use `model_version`) The model
+               version, if it was manually provided in Watson Knowledge Studio.
         :param str version_description: (optional) The description of the version,
                if it was manually provided in Watson Knowledge Studio.
         :param datetime created: (optional) A dateTime indicating when the model
@@ -2742,6 +2747,7 @@ def __init__(self,
         self.language = language
         self.description = description
         self.workspace_id = workspace_id
+        self.model_version = model_version
         self.version = version
         self.version_description = version_description
         self.created = created
@@ -2752,7 +2758,7 @@ def from_dict(cls, _dict: Dict) -> 'Model':
         args = {}
         valid_keys = [
             'status', 'model_id', 'language', 'description', 'workspace_id',
-            'version', 'version_description', 'created'
+            'model_version', 'version', 'version_description', 'created'
         ]
         bad_keys = set(_dict.keys()) - set(valid_keys)
         if bad_keys:
@@ -2769,6 +2775,8 @@ def from_dict(cls, _dict: Dict) -> 'Model':
             args['description'] = _dict.get('description')
         if 'workspace_id' in _dict:
             args['workspace_id'] = _dict.get('workspace_id')
+        if 'model_version' in _dict:
+            args['model_version'] = _dict.get('model_version')
         if 'version' in _dict:
             args['version'] = _dict.get('version')
         if 'version_description' in _dict:
@@ -2795,6 +2803,8 @@ def to_dict(self) -> Dict:
             _dict['description'] = self.description
         if hasattr(self, 'workspace_id') and self.workspace_id is not None:
             _dict['workspace_id'] = self.workspace_id
+        if hasattr(self, 'model_version') and self.model_version is not None:
+            _dict['model_version'] = self.model_version
         if hasattr(self, 'version') and self.version is not None:
             _dict['version'] = self.version
         if hasattr(

ibm_watson/text_to_speech_v1.py

@@ -19,16 +19,17 @@
 dialects, and voices. The service supports at least one male or female voice, sometimes
 both, for each language. The audio is streamed back to the client with minimal delay.
 For speech synthesis, the service supports a synchronous HTTP Representational State
-Transfer (REST) interface. It also supports a WebSocket interface that provides both plain
-text and SSML input, including the SSML <mark> element and word timings. SSML is an
-XML-based markup language that provides text annotation for speech-synthesis applications.
-The service also offers a customization interface. You can use the interface to define
-sounds-like or phonetic translations for words. A sounds-like translation consists of one
-or more words that, when combined, sound like the word. A phonetic translation is based on
-the SSML phoneme format for representing a word. You can specify a phonetic translation in
-standard International Phonetic Alphabet (IPA) representation or in the proprietary IBM
-Symbolic Phonetic Representation (SPR). The Arabic, Chinese, Dutch, and Korean languages
-support only IPA.
+Transfer (REST) interface and a WebSocket interface. Both interfaces support plain text
+and SSML input. SSML is an XML-based markup language that provides text annotation for
+speech-synthesis applications. The WebSocket interface also supports the SSML
+<code>&lt;mark&gt;</code> element and word timings.
+The service offers a customization interface that you can use to define sounds-like or
+phonetic translations for words. A sounds-like translation consists of one or more words
+that, when combined, sound like the word. A phonetic translation is based on the SSML
+phoneme format for representing a word. You can specify a phonetic translation in standard
+International Phonetic Alphabet (IPA) representation or in the proprietary IBM Symbolic
+Phonetic Representation (SPR). The Arabic, Chinese, Dutch, and Korean languages support
+only IPA.
 """
 
 import json