chore: fix experimental max_batching_rows default number (#1426)

fix #1422

Author: GarrettWu

bigframes/operations/blob.py

@@ -278,7 +278,7 @@ def image_blur(
         *,
         dst: Optional[Union[str, bigframes.series.Series]] = None,
         connection: Optional[str] = None,
-        max_batching_rows: int = 8096,
+        max_batching_rows: int = 8192,
         container_cpu: Union[float, int] = 0.33,
         container_memory: str = "512Mi",
     ) -> bigframes.series.Series:
@@ -291,7 +291,7 @@ def image_blur(
             ksize (tuple(int, int)): Kernel size.
             dst (str or bigframes.series.Series or None, default None): Destination GCS folder str or blob series. If None, output to BQ as bytes.
             connection (str or None, default None): BQ connection used for function internet transactions, and the output blob if "dst" is str. If None, uses default connection of the session.
-            max_batching_rows (int, default 8,096): Max number of rows per batch send to cloud run to execute the function.
+            max_batching_rows (int, default 8,192): Max number of rows per batch send to cloud run to execute the function.
             container_cpu (int or float, default 0.33): number of container CPUs. Possible values are [0.33, 8]. Floats larger than 1 are cast to intergers.
             container_memory (str, default "512Mi"): container memory size. String of the format <number><unit>. Possible values are from 512Mi to 32Gi.
 
@@ -354,7 +354,7 @@ def image_resize(
         fy: float = 0.0,
         dst: Optional[Union[str, bigframes.series.Series]] = None,
         connection: Optional[str] = None,
-        max_batching_rows: int = 8096,
+        max_batching_rows: int = 8192,
         container_cpu: Union[float, int] = 0.33,
         container_memory: str = "512Mi",
     ):
@@ -369,7 +369,7 @@ def image_resize(
             fy (float, defalut 0.0): scale factor along the vertical axis. If set to 0.0, dsize parameter determines the output size.
             dst (str or bigframes.series.Series or None, default None): Destination GCS folder str or blob series. If None, output to BQ as bytes.
             connection (str or None, default None): BQ connection used for function internet transactions, and the output blob if "dst" is str. If None, uses default connection of the session.
-            max_batching_rows (int, default 8,096): Max number of rows per batch send to cloud run to execute the function.
+            max_batching_rows (int, default 8,192): Max number of rows per batch send to cloud run to execute the function.
             container_cpu (int or float, default 0.33): number of container CPUs. Possible values are [0.33, 8]. Floats larger than 1 are cast to intergers.
             container_memory (str, default "512Mi"): container memory size. String of the format <number><unit>. Possible values are from 512Mi to 32Gi.
 
@@ -441,7 +441,7 @@ def image_normalize(
         norm_type: str = "l2",
         dst: Optional[Union[str, bigframes.series.Series]] = None,
         connection: Optional[str] = None,
-        max_batching_rows: int = 8096,
+        max_batching_rows: int = 8192,
         container_cpu: Union[float, int] = 0.33,
         container_memory: str = "512Mi",
     ) -> bigframes.series.Series:
@@ -456,7 +456,7 @@ def image_normalize(
             norm_type (str, default "l2"): Normalization type. Accepted values are "inf", "l1", "l2" and "minmax".
             dst (str or bigframes.series.Series or None, default None): Destination GCS folder str or blob series. If None, output to BQ as bytes.
             connection (str or None, default None): BQ connection used for function internet transactions, and the output blob if "dst" is str. If None, uses default connection of the session.
-            max_batching_rows (int, default 8,096): Max number of rows per batch send to cloud run to execute the function.
+            max_batching_rows (int, default 8,192): Max number of rows per batch send to cloud run to execute the function.
             container_cpu (int or float, default 0.33): number of container CPUs. Possible values are [0.33, 8]. Floats larger than 1 are cast to intergers.
             container_memory (str, default "512Mi"): container memory size. String of the format <number><unit>. Possible values are from 512Mi to 32Gi.
 
@@ -519,7 +519,7 @@ def pdf_extract(
         self,
         *,
         connection: Optional[str] = None,
-        max_batching_rows: int = 8096,
+        max_batching_rows: int = 8192,
         container_cpu: Union[float, int] = 0.33,
         container_memory: str = "512Mi",
     ) -> bigframes.series.Series:
@@ -534,7 +534,7 @@ def pdf_extract(
             connection (str or None, default None): BQ connection used for
                 function internet transactions, and the output blob if "dst"
                 is str. If None, uses default connection of the session.
-            max_batching_rows (int, default 8,096): Max number of rows per batch
+            max_batching_rows (int, default 8,192): Max number of rows per batch
                 send to cloud run to execute the function.
             container_cpu (int or float, default 0.33): number of container CPUs. Possible values are [0.33, 8]. Floats larger than 1 are cast to intergers.
             container_memory (str, default "512Mi"): container memory size. String of the format <number><unit>. Possible values are from 512Mi to 32Gi.
@@ -566,7 +566,7 @@ def pdf_chunk(
         connection: Optional[str] = None,
         chunk_size: int = 1000,
         overlap_size: int = 200,
-        max_batching_rows: int = 8096,
+        max_batching_rows: int = 8192,
         container_cpu: Union[float, int] = 0.33,
         container_memory: str = "512Mi",
     ) -> bigframes.series.Series:
@@ -586,7 +586,7 @@ def pdf_chunk(
             overlap_size (int, default 200): the number of overlapping characters
                 between consective chunks. The helps to ensure context is
                 perserved across chunk boundaries.
-            max_batching_rows (int, default 8,096): Max number of rows per batch
+            max_batching_rows (int, default 8,192): Max number of rows per batch
                 send to cloud run to execute the function.
             container_cpu (int or float, default 0.33): number of container CPUs. Possible values are [0.33, 8]. Floats larger than 1 are cast to intergers.
             container_memory (str, default "512Mi"): container memory size. String of the format <number><unit>. Possible values are from 512Mi to 32Gi.