Fix fairness-indicators tests broken by keras and v2 compatibility ch…

…anges.

PiperOrigin-RevId: 715469494

tensorboard_plugin/tensorboard_plugin_fairness_indicators/plugin.py

@@ -22,16 +22,15 @@
 from typing import Any, Union
 
 from absl import logging
-from tensorboard_plugin_fairness_indicators import metadata
+from google.protobuf import json_format
 import six
+from tensorboard.backend import http_util
+from tensorboard.plugins import base_plugin
+from tensorboard_plugin_fairness_indicators import metadata
 import tensorflow as tf
 import tensorflow_model_analysis as tfma
 from werkzeug import wrappers
 
-from google.protobuf import json_format
-from tensorboard.backend import http_util
-from tensorboard.plugins import base_plugin
-
 
 _TEMPLATE_LOCATION = os.path.normpath(
     os.path.join(
@@ -40,7 +39,7 @@
 
 
 def stringify_slice_key_value(
-    slice_key: tfma.slicer.slicer_lib.SliceKeyType,
+    slice_key: tfma.types.SliceKeyType,
 ) -> str:
   """Stringifies a slice key value.
 
@@ -89,7 +88,7 @@ def stringify_slice_key_value(
 
 
 def _add_cross_slice_key_data(
-    slice_key: tfma.slicer.slicer_lib.CrossSliceKeyType,
+    slice_key: tfma.types.CrossSliceKeyType,
     metrics: tfma.view.view_types.MetricsByTextKey,
     data: list[Any],
 ):
@@ -109,9 +108,9 @@ def _add_cross_slice_key_data(
       + stringify_slice_key_value(comparison_key)
   )
   stringify_slice = (
-      tfma.slicer.slicer_lib.stringify_slice_key(baseline_key)
+      tfma.stringify_slice_key(baseline_key)
       + '__XX__'
-      + tfma.slicer.slicer_lib.stringify_slice_key(comparison_key)
+      + tfma.stringify_slice_key(comparison_key)
   )
   data.append({
       'sliceValue': stringify_slice_value,
@@ -123,7 +122,7 @@ def _add_cross_slice_key_data(
 def convert_slicing_metrics_to_ui_input(
     slicing_metrics: list[
         tuple[
-            tfma.slicer.slicer_lib.SliceKeyOrCrossSliceKeyType,
+            tfma.types.SliceKeyOrCrossSliceKeyType,
             tfma.view.view_types.MetricsByOutputName,
         ]
     ],
@@ -172,7 +171,7 @@ def convert_slicing_metrics_to_ui_input(
     ):
       metrics = metric_value[output_name][multi_class_key]
       # To add evaluation data for cross slice comparison.
-      if tfma.slicer.slicer_lib.is_cross_slice_key(slice_key):
+      if tfma.types.is_cross_slice_key(slice_key):
         _add_cross_slice_key_data(slice_key, metrics, data)
       # To add evaluation data for regular slices.
       elif (
@@ -182,7 +181,7 @@ def convert_slicing_metrics_to_ui_input(
       ):
         data.append({
             'sliceValue': stringify_slice_key_value(slice_key),
-            'slice': tfma.slicer.slicer_lib.stringify_slice_key(slice_key),
+            'slice': tfma.stringify_slice_key(slice_key),
             'metrics': metrics,
         })
   if not data: