fix format

Author: sycai

bigframes/bigquery/_operations/ai.py

@@ -49,13 +49,6 @@ def generate(
     """
     Returns the AI analysis based on the prompt, which can be any combination of text and unstructured data.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
 
         >>> import bigframes.pandas as bpd
@@ -72,13 +65,20 @@ def generate(
         1    Ottawa\\n
         Name: result, dtype: string
 
-        You get structured output when the `output_schema` parameter is set:
+    You get structured output when the `output_schema` parameter is set:
 
         >>> animals = bpd.Series(["Rabbit", "Spider"])
         >>> bbq.ai.generate(animals, output_schema={"number_of_legs": "INT64", "is_herbivore": "BOOL"})
         0    {'is_herbivore': True, 'number_of_legs': 4, 'f...
         1    {'is_herbivore': False, 'number_of_legs': 8, '...
         dtype: struct<is_herbivore: bool, number_of_legs: int64, full_response: extension<dbjson<JSONArrowType>>, status: string>[pyarrow]
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         prompt (str | Series | List[str|Series] | Tuple[str|Series, ...]):
@@ -151,13 +151,6 @@ def generate_bool(
     """
     Returns the AI analysis based on the prompt, which can be any combination of text and unstructured data.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
 
         >>> import bigframes.pandas as bpd
@@ -178,6 +171,13 @@ def generate_bool(
         1     True
         2    False
         Name: result, dtype: boolean
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         prompt (str | Series | List[str|Series] | Tuple[str|Series, ...]):
@@ -236,13 +236,6 @@ def generate_int(
     """
     Returns the AI analysis based on the prompt, which can be any combination of text and unstructured data.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
 
         >>> import bigframes.pandas as bpd
@@ -260,6 +253,13 @@ def generate_int(
         1    4
         2    8
         Name: result, dtype: Int64
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         prompt (str | Series | List[str|Series] | Tuple[str|Series, ...]):
@@ -318,13 +318,6 @@ def generate_double(
     """
     Returns the AI analysis based on the prompt, which can be any combination of text and unstructured data.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
 
         >>> import bigframes.pandas as bpd
@@ -342,6 +335,13 @@ def generate_double(
         1    4.0
         2    8.0
         Name: result, dtype: Float64
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         prompt (str | Series | List[str|Series] | Tuple[str|Series, ...]):
@@ -398,14 +398,8 @@ def if_(
     Evaluates the prompt to True or False. Compared to `ai.generate_bool()`, this function
     provides optimization such that not all rows are evaluated with the LLM.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
+
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
         >>> bpd.options.display.progress_bar = None
@@ -420,6 +414,13 @@ def if_(
         0    Massachusetts
         1         Illinois
         dtype: string
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         prompt (str | Series | List[str|Series] | Tuple[str|Series, ...]):
@@ -454,13 +455,6 @@ def classify(
     """
     Classifies a given input into one of the specified categories. It will always return one of the provided categories best fit the prompt input.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
 
         >>> import bigframes.pandas as bpd
@@ -474,6 +468,13 @@ def classify(
         1   Salmon    Fish
         <BLANKLINE>
         [2 rows x 2 columns]
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         input (str | Series | List[str|Series] | Tuple[str|Series, ...]):
@@ -512,13 +513,6 @@ def score(
     There is no fixed range for the score returned. To get high quality results, provide a scoring
     rubric with examples in the prompt.
 
-    .. note::
-
-        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
-        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
-        and might have limited support. For more information, see the launch stage descriptions
-        (https://cloud.google.com/products#product-launch-stages).
-
     **Examples:**
 
         >>> import bigframes.pandas as bpd
@@ -530,6 +524,13 @@ def score(
         1    1.0
         2    3.0
         dtype: Float64
+    
+    .. note::
+
+        This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
+        Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
+        and might have limited support. For more information, see the launch stage descriptions
+        (https://cloud.google.com/products#product-launch-stages).
 
     Args:
         prompt (str | Series | List[str|Series] | Tuple[str|Series, ...]):

docs/templates/toc.yml

@@ -220,6 +220,7 @@
       uid: bigframes.bigquery
     - name: BigQuery AI Functions
       uid: bigframes.bigquery._operations.ai
+      status: beta
     name: bigframes.bigquery
   - items:
     - name: GeoSeries