- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

**Standalone code to reproduce the issue** 
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.

Also, please include a link to a GraphDef or the model if possible.

**Any other info / logs**

	// this can happen if the pod was dynamically added to the mesh after it was created.
	// in that case, try finding the netns using procfs.
	if err := s.rescanPod(pod); err != nil {
		log.Errorf("error scanning proc: error was %s", err)
		return nil, err
	}
	// try again. we can still get here if the pod is in the process of being created.
	// in this case the CNI will be invoked soon and provide us with the netns.

				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}

 */

package com.google.common.util.concurrent;

import static com.google.common.base.Functions.constant;
import static com.google.common.base.MoreObjects.toStringHelper;
import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.base.Preconditions.checkState;
import static com.google.common.collect.Lists.asList;

    setDelays();
  }

  /**
   * Extra checks that get done for all test cases.
   *
   * <p>Triggers test case failure if any thread assertions have failed, by rethrowing, in the test
   * harness thread, any exception recorded earlier by threadRecordFailure.
   *
   * <p>Triggers test case failure if interrupt status is set in the main thread.
   */
  @Override
  public void tearDown() throws Exception {

		var targetSize int64

		switch {
		case isDstCompressed:
			targetSize = -1
		case !isSourceEncrypted && !isTargetEncrypted:
			targetSize, _ = srcInfo.GetActualSize()
		case isSourceEncrypted && isTargetEncrypted:
			objInfo := ObjectInfo{Size: actualSize}
			targetSize = objInfo.EncryptedSize()
		case !isSourceEncrypted && isTargetEncrypted:
			targetSize = srcInfo.EncryptedSize()

#
# The relation between column and classification.
#
# This property uses classification names of classificationDefinitionMap.
# The table name '$$ALL$$' means all tables are target.
# The table names and column names are treated as case insensitive.
#
# You don't need specify here about table classifications.
# Because table classifications are auto-deployed by relation information.
#
# Specification:
# map: {
#     [table-name or $$ALL$$] = map:{

    state = State.DONE;
    return null;
  }

  @Override
  public final boolean hasNext() {
    checkState(state != State.FAILED);
    switch (state) {
      case DONE:
        return false;
      case READY:
        return true;
      default:
    }
    return tryToComputeNext();
  }

  private boolean tryToComputeNext() {
    state = State.FAILED; // temporary pessimism

Now, there are some cases where you might want to have the **same schema for input and output**.

Probably the main use case for this is if you already have some autogenerated client code/SDKs and you don't want to update all the autogenerated client code/SDKs yet, you probably will want to do it at some point, but maybe not right now.

In that case, you can disable this feature in **FastAPI**, with the parameter `separate_input_output_schemas=False`.

/// info

)

// IsRISCV64AMO reports whether the op (as defined by a riscv.A*
// constant) is one of the AMO instructions that requires special
// handling.
func IsRISCV64AMO(op obj.As) bool {
	switch op {
	case riscv.ASCW, riscv.ASCD, riscv.AAMOSWAPW, riscv.AAMOSWAPD, riscv.AAMOADDW, riscv.AAMOADDD,
		riscv.AAMOANDW, riscv.AAMOANDD, riscv.AAMOORW, riscv.AAMOORD, riscv.AAMOXORW, riscv.AAMOXORD,