diag = true
			log.Printf(format, args...)
		}
		if *flags.SymABIs {
			ok = parser.ParseSymABIs(buf)
		} else {
			pList := new(obj.Plist)
			pList.Firstpc, ok = parser.Parse()
			// reports errors to parser.Errorf
			if ok {
				obj.Flushplist(ctxt, pList, nil)
			}
		}
		if !ok {
			failedFile = f
			break
		}
	}
	if ok && !*flags.SymABIs {
		ctxt.NumberSyms()

   *
   * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It
   * is not guaranteed to return zero when the dataset consists of the same value multiple times,
   * due to numerical errors. However, it is guaranteed never to return a negative result.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

      }
    }

    /*
     * TODO(cpovirk): `return (V) removedValue` once our checker permits that.
     *
     * (We promoted a class of warnings into errors because sometimes they indicate real problems.
     * But now we need to "undo" some instance of spurious errors, as discussed in
     * https://github.com/jspecify/checker-framework/issues/8.)
     */
    return removedValue == null ? null : (V) removedValue;
  }

		expectErr := (err != nil)

		if expectErr != testCase.expectErr {
			t.Fatalf("case %v: error: expected: %v, got: %v", i+1, testCase.expectErr, expectErr)
		}
		if err != errUnformattedDisk {
			t.Fatalf("case %v: error: expected: %v, got: %v", i+1, errUnformattedDisk, err)
		}
	}
}

func testStorageAPIStatInfoFile(t *testing.T, storage StorageAPI) {

			result.Object = decodeDirObject(result.Object)
			errs[idx] = err
			results[idx] = result
		}(idx, pool)
	}
	wg.Wait()

	// Return the first nil error
	for idx, err := range errs {
		if err == nil {
			return results[idx], nil
		}
	}

	// No pool returned a nil error, return the first non 'not found' error
	for idx, err := range errs {

	PutObject(ctx context.Context, bucket, object string, data *PutObjReader, opts ObjectOptions) (objInfo ObjectInfo, err error)
}

// load the cache content with name from minioMetaBackgroundOpsBucket.
// Only backend errors are returned as errors.
// The loader is optimistic and has no locking, but tries 5 times before giving up.

      - uses: actions/setup-java@v4
        with:
          java-version: ${{ matrix.java }}
          distribution: 'temurin'
          cache: 'maven'

      - name: Set up Maven
        run:
          mvn --errors --batch-mode --show-version org.apache.maven.plugins:maven-wrapper-plugin:3.3.2:wrapper "-Dmaven=3.9.7"

      - name: Build with Maven
        run: ./mvnw install -e -B -V -DdistributionFileName=apache-maven

Java serialization is inherently Java-centric and does not support cross-language scenarios well.

- **Type Safety:**
Java serialization does not enforce type safety as strictly as some alternatives, potentially leading to runtime errors.

## Decision

We do not use Java serialization.
Instead, we use custom serialization where we explicitly describe how data objects should be serialized and deserialized.

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

import com.google.common.annotations.GwtCompatible;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/** A utility method to perform unchecked casts to suppress errors produced by nullness analyses. */
@GwtCompatible
@ElementTypesAreNonnullByDefault
final class NullnessCasts {
  /**
   * Accepts a {@code @Nullable T} and returns a plain {@code T}, without performing any check that