remove unneeded test.

Author: sayakpaul

tests/modular_pipelines/test_modular_pipelines_common.py

@@ -1,6 +1,4 @@
 import gc
-import json
-import os
 from typing import Callable
 
 import pytest
@@ -349,32 +347,6 @@ def test_save_from_pretrained(self, tmp_path):
 
         assert torch.abs(image_slices[0] - image_slices[1]).max() < 1e-3
 
-    def test_modular_index_consistency(self, tmp_path):
-        pipe = self.get_pipeline()
-        components_spec = pipe._component_specs
-        components = sorted(components_spec.keys())
-
-        pipe.save_pretrained(tmp_path)
-        index_file = os.path.join(tmp_path, "modular_model_index.json")
-        assert os.path.exists(index_file)
-
-        with open(index_file) as f:
-            index_contents = json.load(f)
-
-        compulsory_keys = {"_blocks_class_name", "_class_name", "_diffusers_version"}
-        for k in compulsory_keys:
-            assert k in index_contents
-
-        to_check_attrs = {"pretrained_model_name_or_path", "revision", "subfolder"}
-        for component in components:
-            spec = components_spec[component]
-            for attr in to_check_attrs:
-                if getattr(spec, "pretrained_model_name_or_path", None) is not None:
-                    for attr in to_check_attrs:
-                        assert component in index_contents, f"{component} should be present in index but isn't."
-                        attr_value_from_index = index_contents[component][2][attr]
-                        assert getattr(spec, attr) == attr_value_from_index
-
     def test_workflow_map(self):
         blocks = self.pipeline_blocks_class()
         if blocks._workflow_map is None: