}
		if got := fi.TierFreeVersion(); got != ft.expectedFree {
			t.Fatalf("Expected free-version=%v but got free-version=%v", ft.expectedFree, got)
		}
		if ft.afterFn != nil {
			_, err = ft.afterFn(fi)
			if err != nil {
				t.Fatalf("ft.afterFn failed with err %v", err)
			}
		}
	}

	// Simulate scanner removing free-version
	freefi := newtierfi
	for _, fvID := range fvIDs {

			t.Errorf("%v should be true", str)
		}
	}

	for _, str := range []string{"BeforeCreate", "BeforeUpdate", "AfterUpdate", "AfterSave", "BeforeDelete", "AfterDelete", "AfterFind"} {
		if reflect.Indirect(reflect.ValueOf(user)).FieldByName(str).Interface().(bool) {
			t.Errorf("%v should be false", str)
		}
	}

      entry.mutable_hlo_module()->set_name(
          absl::StrCat(entry.hlo_module().name(), "_altered"));
      TF_RETURN_IF_ERROR(WriteBinaryProto(env, file_path, entry));
      altered = true;
    }
  }

  if (!altered) {
    return errors::NotFound(
        "Did not find any persistent XLA compilation cache entries to alter.");
  }
  return absl::OkStatus();
}

}

type BeforeDeleteInterface interface {
	BeforeDelete(*gorm.DB) error
}

type AfterDeleteInterface interface {
	AfterDelete(*gorm.DB) error
}

type AfterFindInterface interface {
	AfterFind(*gorm.DB) error

	for i, tt := range tests {
		beforeP, afterP, _ := strings.Cut(tt.in, "ℙ")
		in := beforeP + afterP
		testOut := beforeP

		if beforeD, afterD, ok := strings.Cut(beforeP, "𝔻"); ok {
			in = beforeD + afterD + afterP
			testOut = afterD
		}

		r := strings.NewReader(in)
		buf, err := read(r)
		if err != nil {
			if tt.err == "" {

  TF_ASSERT_OK(AlterPersistentCacheEntryHloModuleNames(
      tensorflow::testing::TmpDir(), "my_test_prefix"));

  // Run again and these should all hit in the persistent cache despite having
  // altered the persistent cache entries' HLO modules (disabled strict
  // signature checks).
  listener()->ClearListenerHistory();
  for (int b = 1; b < 4; ++b) {
    TF_ASSERT_OK(ExecuteWithBatch(graph, b));
  }

 * probably roll its own.
 * <p>
 * This implementation is backed by Maven Resolver API, supported protocols and transport selection depends on it. If
 * resolver preference regarding transport is altered, it will affect this service as well.
 *
 * @since 4.0.0
 */
@Experimental
@Consumer
public interface TransportProvider extends Service {
    /**

  TF_ASSERT_OK(
      AlterPersistentCacheEntryHloModuleNames(tensorflow::testing::TmpDir()));

  // Run again but these should all fail, because the persistent cache entries'
  // HLO modules have been altered.
  for (int b = 1; b < 4; ++b) {
    auto status = ExecuteWithBatch(graph, b);
    EXPECT_FALSE(status.ok());
    EXPECT_TRUE(
        absl::StrContains(status.message(), "Serialized HLO does not match."));
  }
}

	tmp := make([]byte, len(v))
	// If minimization was successful at any point during minimizeBytes,
	// then the vals slice in (*workerServer).minimizeInput will point to
	// tmp. Since tmp is altered while making new candidates, we need to
	// make sure that it is equal to the correct value, v, before exiting
	// this function.
	defer copy(tmp, v)

	// First, try to cut the tail.
	for n := 1024; n != 0; n /= 2 {

}

// StateKey is the type of keys stored in CycleState.
type StateKey string

// CycleState provides a mechanism for plugins to store and retrieve arbitrary data.
// StateData stored by one plugin can be read, altered, or deleted by another plugin.
// CycleState does not provide any data protection, as all plugins are assumed to be
// trusted.