revert doctest changes

Author: tswast

bigframes/bigquery/_operations/ai.py

@@ -52,13 +52,14 @@ def generate(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> country = bpd.Series(["Japan", "Canada"])
-        >>> bbq.ai.generate(("What's the capital city of ", country, " one word only"))  # doctest: +SKIP
+        >>> bbq.ai.generate(("What's the capital city of ", country, " one word only"))
         0    {'result': 'Tokyo\\n', 'full_response': '{"cand...
         1    {'result': 'Ottawa\\n', 'full_response': '{"can...
         dtype: struct<result: string, full_response: extension<dbjson<JSONArrowType>>, status: string>[pyarrow]
 
-        >>> bbq.ai.generate(("What's the capital city of ", country, " one word only")).struct.field("result")  # doctest: +SKIP
+        >>> bbq.ai.generate(("What's the capital city of ", country, " one word only")).struct.field("result")
         0     Tokyo\\n
         1    Ottawa\\n
         Name: result, dtype: string
@@ -146,6 +147,7 @@ def generate_bool(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> df = bpd.DataFrame({
         ...     "col_1": ["apple", "bear", "pear"],
         ...     "col_2": ["fruit", "animal", "animal"]
@@ -223,6 +225,7 @@ def generate_int(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> animal = bpd.Series(["Kangaroo", "Rabbit", "Spider"])
         >>> bbq.ai.generate_int(("How many legs does a ", animal, " have?"))
         0    {'result': 2, 'full_response': '{"candidates":...
@@ -297,6 +300,7 @@ def generate_double(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> animal = bpd.Series(["Kangaroo", "Rabbit", "Spider"])
         >>> bbq.ai.generate_double(("How many legs does a ", animal, " have?"))
         0    {'result': 2.0, 'full_response': '{"candidates...
@@ -368,6 +372,7 @@ def if_(
     **Examples:**
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> us_state = bpd.Series(["Massachusetts", "Illinois", "Hawaii"])
         >>> bbq.ai.if_((us_state, " has a city called Springfield"))
         0     True
@@ -417,6 +422,7 @@ def classify(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> df = bpd.DataFrame({'creature': ['Cat', 'Salmon']})
         >>> df['type'] = bbq.ai.classify(df['creature'], ['Mammal', 'Fish'])
         >>> df
@@ -467,6 +473,7 @@ def score(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> animal = bpd.Series(["Tiger", "Rabbit", "Blue Whale"])
         >>> bbq.ai.score(("Rank the relative weights of ", animal, " on the scale from 1 to 3")) # doctest: +SKIP
         0    2.0

bigframes/bigquery/_operations/approx_agg.py

@@ -40,6 +40,7 @@ def approx_top_count(
 
         >>> import bigframes.pandas as bpd
         >>> import bigframes.bigquery as bbq
+        >>> bpd.options.display.progress_bar = None
         >>> s = bpd.Series(["apple", "apple", "pear", "pear", "pear", "banana"])
         >>> bbq.approx_top_count(s, number=2)
         [{'value': 'pear', 'count': 3}, {'value': 'apple', 'count': 2}]

bigframes/conftest.py

@@ -52,6 +52,7 @@ def agg(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
             >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
@@ -246,7 +247,8 @@ def cluster_by(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.semantic_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -319,7 +321,8 @@ def filter(self, instruction: str, model, ground_with_google_search: bool = Fals
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.semantic_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -432,7 +435,8 @@ def map(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.semantic_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -554,7 +558,8 @@ def join(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.semantic_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -692,6 +697,7 @@ def search(
         ** Examples: **
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
             >>> import bigframes
             >>> bigframes.options.experiments.semantic_operators = True
@@ -794,7 +800,8 @@ def top_k(
         **Examples:**
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.semantic_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm
@@ -994,7 +1001,8 @@ def sim_join(
         ** Examples: **
 
             >>> import bigframes.pandas as bpd
-                >>> bpd.options.experiments.semantic_operators = True
+            >>> bpd.options.display.progress_bar = None
+            >>> bpd.options.experiments.semantic_operators = True
             >>> bpd.options.compute.semantic_ops_confirmation_threshold = 25
 
             >>> import bigframes.ml.llm as llm

bigframes/operations/semantics.py

@@ -68,6 +68,7 @@ def reverse(self) -> series.Series:
         **Examples:**
 
             >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
 
             >>> s = bpd.Series(["apple", "banana", "", bpd.NA])
             >>> s.str.reverse()

bigframes/operations/strings.py

@@ -18,6 +18,7 @@ class GeoSeries:
         >>> import bigframes.geopandas
         >>> import bigframes.pandas as bpd
         >>> from shapely.geometry import Point
+        >>> bpd.options.display.progress_bar = None
 
         >>> s = bigframes.geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)])
         >>> s
@@ -72,6 +73,7 @@ def x(self) -> bigframes.series.Series:
             >>> import bigframes.pandas as bpd
             >>> import geopandas.array
             >>> import shapely.geometry
+            >>> bpd.options.display.progress_bar = None
 
             >>> series = bpd.Series(
             ...     [shapely.geometry.Point(1, 2), shapely.geometry.Point(2, 3), shapely.geometry.Point(3, 4)],
@@ -98,6 +100,7 @@ def y(self) -> bigframes.series.Series:
             >>> import bigframes.pandas as bpd
             >>> import geopandas.array
             >>> import shapely.geometry
+            >>> bpd.options.display.progress_bar = None
 
             >>> series = bpd.Series(
             ...     [shapely.geometry.Point(1, 2), shapely.geometry.Point(2, 3), shapely.geometry.Point(3, 4)],
@@ -126,6 +129,7 @@ def boundary(self) -> bigframes.geopandas.GeoSeries:
             >>> import bigframes.pandas as bpd
             >>> import geopandas.array
             >>> import shapely.geometry
+            >>> bpd.options.display.progress_bar = None
 
             >>> from shapely.geometry import Polygon, LineString, Point
             >>> s = geopandas.GeoSeries(
@@ -167,6 +171,7 @@ def from_xy(cls, x, y, index=None, **kwargs) -> bigframes.geopandas.GeoSeries:
 
             >>> import bigframes.pandas as bpd
             >>> import bigframes.geopandas
+            >>> bpd.options.display.progress_bar = None
 
             >>> x = [2.5, 5, -3.0]
             >>> y = [0.5, 1, 1.5]
@@ -205,6 +210,7 @@ def from_wkt(cls, data, index=None) -> bigframes.geopandas.GeoSeries:
 
             >>> import bigframes as bpd
             >>> import bigframes.geopandas
+            >>> bpd.options.display.progress_bar = None
 
             >>> wkts = [
             ... 'POINT (1 1)',
@@ -240,6 +246,7 @@ def to_wkt(self) -> bigframes.series.Series:
             >>> import bigframes as bpd
             >>> import bigframes.geopandas
             >>> from shapely.geometry import Point
+            >>> bpd.options.display.progress_bar = None
 
             >>> s = bigframes.geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)])
             >>> s
@@ -272,6 +279,7 @@ def difference(self: GeoSeries, other: GeoSeries) -> GeoSeries:  # type: ignore
             >>> import bigframes as bpd
             >>> 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:
 
@@ -403,6 +411,7 @@ def intersection(self: GeoSeries, other: GeoSeries) -> GeoSeries:  # type: ignor
             >>> import bigframes as bpd
             >>> 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.
 

third_party/bigframes_vendored/geopandas/geoseries.py

@@ -47,6 +47,7 @@ file to indicate the copyright and license terms:
 
 Other licenses can be found in the LICENSES directory.
 
+License
 =======
 
 pandas is distributed under a 3-clause ("Simplified" or "New") BSD

third_party/bigframes_vendored/pandas/AUTHORS.md

@@ -60,6 +60,7 @@ Here are just a few of the things that pandas does well:
     generation and frequency conversion, moving window statistics,
     date shifting and lagging
 
+
    [missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html
    [insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion
    [alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures
@@ -119,6 +120,7 @@ python setup.py install
 
 or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable):
 
+
 ```sh
 python -m pip install -e . --no-build-isolation --no-use-pep517
 ```