revert more docs changes

Author: tswast

bigframes/bigquery/_operations/array.py

@@ -40,6 +40,8 @@ def array_length(series: series.Series) -> series.Series:
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
+
         >>> s = bpd.Series([[1, 2, 8, 3], [], [3, 4]])
         >>> bbq.array_length(s)
         0    4
@@ -76,6 +78,8 @@ def array_agg(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> import numpy as np
+        >>> bpd.options.display.progress_bar = None
 
     For a SeriesGroupBy object:
 
@@ -124,6 +128,8 @@ def array_to_string(series: series.Series, delimiter: str) -> series.Series:
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> import numpy as np
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series([["H", "i", "!"], ["Hello", "World"], np.nan, [], ["Hi"]])
         >>> bbq.array_to_string(s, delimiter=", ")

bigframes/bigquery/_operations/datetime.py

@@ -21,8 +21,11 @@ def unix_seconds(input: series.Series) -> series.Series:
 
     **Examples:**
 
+        >>> import pandas as pd
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
+
         >>> s = bpd.Series([pd.Timestamp("1970-01-02", tz="UTC"), pd.Timestamp("1970-01-03", tz="UTC")])
         >>> bbq.unix_seconds(s)
         0     86400
@@ -45,8 +48,11 @@ def unix_millis(input: series.Series) -> series.Series:
 
     **Examples:**
 
+        >>> import pandas as pd
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
+
         >>> s = bpd.Series([pd.Timestamp("1970-01-02", tz="UTC"), pd.Timestamp("1970-01-03", tz="UTC")])
         >>> bbq.unix_millis(s)
         0     86400000
@@ -69,8 +75,10 @@ def unix_micros(input: series.Series) -> series.Series:
 
     **Examples:**
 
+        >>> import pandas as pd
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series([pd.Timestamp("1970-01-02", tz="UTC"), pd.Timestamp("1970-01-03", tz="UTC")])
         >>> bbq.unix_micros(s)

bigframes/bigquery/_operations/geo.py

@@ -53,6 +53,8 @@ def st_area(
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
         >>> from shapely.geometry import Polygon, LineString, Point
+        >>> bpd.options.display.progress_bar = None
+
         >>> series = bigframes.geopandas.GeoSeries(
         ...         [
         ...             Polygon([(0.0, 0.0), (0.1, 0.1), (0.0, 0.1)]),
@@ -123,6 +125,8 @@ def st_buffer(
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
         >>> from shapely.geometry import Point
+        >>> bpd.options.display.progress_bar = None
+
         >>> series = bigframes.geopandas.GeoSeries(
         ...         [
         ...             Point(0, 0),
@@ -191,6 +195,8 @@ def st_centroid(
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
         >>> from shapely.geometry import Polygon, LineString, Point
+        >>> bpd.options.display.progress_bar = None
+
         >>> series = bigframes.geopandas.GeoSeries(
         ...         [
         ...             Polygon([(0.0, 0.0), (0.1, 0.1), (0.0, 0.1)]),
@@ -244,6 +250,8 @@ def st_convexhull(
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
         >>> from shapely.geometry import Polygon, LineString, Point
+        >>> bpd.options.display.progress_bar = None
+
         >>> series = bigframes.geopandas.GeoSeries(
         ...         [
         ...             Polygon([(0.0, 0.0), (0.1, 0.1), (0.0, 0.1)]),
@@ -304,6 +312,7 @@ def st_difference(
         >>> import bigframes.bigquery as bbq
         >>> import bigframes.geopandas
         >>> from shapely.geometry import Polygon, LineString, Point
+        >>> bpd.options.display.progress_bar = None
 
     We can check two GeoSeries against each other, row by row:
 
@@ -398,6 +407,7 @@ def st_distance(
         >>> import bigframes.bigquery as bbq
         >>> import bigframes.geopandas
         >>> from shapely.geometry import Polygon, LineString, Point
+        >>> bpd.options.display.progress_bar = None
 
     We can check two GeoSeries against each other, row by row.
 
@@ -479,6 +489,7 @@ def st_intersection(
         >>> import bigframes.bigquery as bbq
         >>> import bigframes.geopandas
         >>> from shapely.geometry import Polygon, LineString, Point
+        >>> bpd.options.display.progress_bar = None
 
     We can check two GeoSeries against each other, row by row.
 
@@ -572,6 +583,7 @@ def st_isclosed(
         >>> import bigframes.bigquery as bbq
 
         >>> from shapely.geometry import Point, LineString, Polygon
+        >>> bpd.options.display.progress_bar = None
 
         >>> series = bigframes.geopandas.GeoSeries(
         ...     [
@@ -638,6 +650,7 @@ def st_length(
         >>> import bigframes.bigquery as bbq
 
         >>> from shapely.geometry import Polygon, LineString, Point, GeometryCollection
+        >>> bpd.options.display.progress_bar = None
 
         >>> series = bigframes.geopandas.GeoSeries(
         ...         [

bigframes/bigquery/_operations/json.py

@@ -49,6 +49,8 @@ def json_set(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> import numpy as np
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.read_gbq("SELECT JSON '{\\\"a\\\": 1}' AS data")["data"]
         >>> bbq.json_set(s, json_path_value_pairs=[("$.a", 100), ("$.b", "hi")])
@@ -99,6 +101,7 @@ def json_extract(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['{"class": {"students": [{"id": 5}, {"id": 12}]}}'])
         >>> bbq.json_extract(s, json_path="$.class")
@@ -138,6 +141,7 @@ def json_extract_array(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['[1, 2, 3]', '[4, 5]'])
         >>> bbq.json_extract_array(s)
@@ -200,6 +204,7 @@ def json_extract_string_array(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['[1, 2, 3]', '[4, 5]'])
         >>> bbq.json_extract_string_array(s)
@@ -267,6 +272,7 @@ def json_query(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['{"class": {"students": [{"id": 5}, {"id": 12}]}}'])
         >>> bbq.json_query(s, json_path="$.class")
@@ -297,6 +303,7 @@ def json_query_array(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['[1, 2, 3]', '[4, 5]'])
         >>> bbq.json_query_array(s)
@@ -348,6 +355,7 @@ def json_value(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['{"name": "Jakob", "age": "6"}', '{"name": "Jakob", "age": []}'])
         >>> bbq.json_value(s, json_path="$.age")
@@ -384,6 +392,7 @@ def json_value_array(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['[1, 2, 3]', '[4, 5]'])
         >>> bbq.json_value_array(s)
@@ -430,6 +439,7 @@ def to_json(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series([1, 2, 3])
         >>> bbq.to_json(s)
@@ -463,6 +473,7 @@ def to_json_string(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series([1, 2, 3])
         >>> bbq.to_json_string(s)
@@ -501,6 +512,7 @@ def parse_json(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(['{"class": {"students": [{"id": 5}, {"id": 12}]}}'])
         >>> s

bigframes/bigquery/_operations/search.py

@@ -111,6 +111,7 @@ def vector_search(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
 
     DataFrame embeddings for which to find nearest neighbors. The ``ARRAY<FLOAT64>`` column
     is used as the search query:

bigframes/bigquery/_operations/sql.py

@@ -36,6 +36,9 @@ def sql_scalar(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> import pandas as pd
+        >>> import pyarrow as pa
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bpd.Series(["1.5", "2.5", "3.5"])
         >>> s = s.astype(pd.ArrowDtype(pa.decimal128(38, 9)))

bigframes/bigquery/_operations/struct.py

@@ -39,6 +39,7 @@ def struct(value: dataframe.DataFrame) -> series.Series:
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
         >>> import bigframes.series as series
+        >>> bpd.options.display.progress_bar = None
 
         >>> srs = series.Series([{"version": 1, "project": "pandas"}, {"version": 2, "project": "numpy"},])
         >>> df = srs.struct.explode()