revert more docs

Author: tswast

bigframes/ml/compose.py

@@ -69,6 +69,7 @@ class SQLScalarColumnTransformer:
 
         >>> from bigframes.ml.compose import ColumnTransformer, SQLScalarColumnTransformer
         >>> import bigframes.pandas as bpd
+        >>> bpd.options.display.progress_bar = None
 
         >>> df = bpd.DataFrame({'name': ["James", None, "Mary"], 'city': ["New York", "Boston", None]})
         >>> col_trans = ColumnTransformer([

bigframes/operations/ai.py

@@ -45,6 +45,7 @@ def filter(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
             >>> bpd.options.experiments.ai_operators = True
             >>> bpd.options.compute.ai_ops_confirmation_threshold = 25
 
@@ -114,7 +115,8 @@ def map(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.ai_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.ai_operators = True
             >>> bpd.options.compute.ai_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -132,7 +134,8 @@ def map(
 
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.ai_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.ai_operators = True
             >>> bpd.options.compute.ai_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -263,7 +266,8 @@ def classify(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.ai_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.ai_operators = True
             >>> bpd.options.compute.ai_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -352,7 +356,8 @@ def join(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.ai_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.ai_operators = True
             >>> bpd.options.compute.ai_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -491,6 +496,7 @@ def search(
         ** Examples: **
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
             >>> import bigframes
             >>> bigframes.options.experiments.ai_operators = True
@@ -602,7 +608,8 @@ def sim_join(
         ** Examples: **
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.ai_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.ai_operators = True
             >>> bpd.options.compute.ai_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm

bigframes/session/__init__.py

@@ -618,6 +618,7 @@ def read_gbq_query(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
         Simple query input:
 
@@ -773,6 +774,7 @@ def read_gbq_table(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
         Read a whole table, with arbitrary ordering or ordering corresponding to the primary key(s).
 
@@ -851,6 +853,7 @@ def read_gbq_table_streaming(
 
             >>> import bigframes.streaming as bst
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
             >>> sdf = bst.read_gbq_table("bigquery-public-data.ml_datasets.penguins")
 
@@ -879,6 +882,7 @@ def read_gbq_model(self, model_name: str):
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
         Read an existing BigQuery ML model.
 
@@ -948,6 +952,8 @@ def read_pandas(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> import pandas as pd
+            >>> bpd.options.display.progress_bar = None
 
             >>> d = {'col1': [1, 2], 'col2': [3, 4]}
             >>> pandas_df = pd.DataFrame(data=d)
@@ -1825,6 +1831,7 @@ def udf(
 
             >>> import bigframes.pandas as bpd
             >>> import datetime
+            >>> bpd.options.display.progress_bar = None
 
         Turning an arbitrary python function into a BigQuery managed python udf:
 
@@ -1987,6 +1994,7 @@ def read_gbq_function(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
         Use the [cw_lower_case_ascii_only](https://github.com/GoogleCloudPlatform/bigquery-utils/blob/master/udfs/community/README.md#cw_lower_case_ascii_onlystr-string)
         function from Community UDFs.