# MACOS ARM64 WHEEL

	globalOperationTimeout       = newDynamicTimeout(10*time.Minute, 5*time.Minute) // default timeout for general ops
	globalDeleteOperationTimeout = newDynamicTimeout(5*time.Minute, 1*time.Minute)  // default time for delete ops

	globalBucketObjectLockSys *BucketObjectLockSys
	globalBucketQuotaSys      *BucketQuotaSys
	globalBucketVersioningSys *BucketVersioningSys

                    std::optional<int64_t> step_id = std::nullopt) const;

  // Blocks until the previous `StartExecute` has run `TFE_Execute` on each
  // device. If is_async=false (constructor argument) this means the ops have
  // run and have results. If is_async=true it means that all of the
  // device-specific executors have scheduled the op.
  //
  // Accepts inferred shapes for outputs (`expected_output_shapes`), which if

  // the status from `TFE_Execute` and returns outputs if the status is OK.
  std::vector<TensorHandlePtr> Join(TF_Status* status);

  // Block until all Ops finished running on the thread.
  void AsyncWait(TF_Status* status);

 private:
  void Run();

  void Execute(TFE_Context* context, const char* operation_name,

		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrBucketRemoteIdenticalToSource), r.URL)
		return
	}

	target.SourceBucket = bucket
	var ops []madmin.TargetUpdateType
	if update {
		ops = madmin.GetTargetUpdateOps(r.Form)
	} else {
		var exists bool // true if arn exists
		target.Arn, exists = globalBucketTargetSys.getRemoteARN(bucket, &target, "")

				}
			case testWriteTo:
				f := &testFile{ops: tf.ops}
				got, err := fr.WriteTo(f)
				if _, ok := err.(testError); ok {
					t.Errorf("test %d.%d, WriteTo(): %v", i, j, err)
				} else if got != tf.wantCnt || err != tf.wantErr {
					t.Errorf("test %d.%d, WriteTo() = (%d, %v), want (%d, %v)", i, j, got, err, tf.wantCnt, tf.wantErr)
				}
				if len(f.ops) > 0 {

//tensorflow/core/lib/lmdb:lmdb_testdata
//tensorflow/core/lib/lmdb/testdata:lmdb_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer
//tensorflow/python:compare_test_proto_py
//tensorflow/python/framework:test_ops_2
//tensorflow/python/framework:test_file_system.so
//tensorflow/python/debug:grpc_tensorflow_server.par

                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "ops"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 3,
        "w": 6,
        "x": 0,
        "y": 3
      },
      "id": 20,
      "links": [],

  // Adds `value` to the existing value of the variable.
  void AssignAdd(TFE_Context* context, TFE_TensorHandle* value,
                 TF_Status* status);

 private:
  // Helper for running any single-argument assignment ops (Assign, AssignAdd,
  // AssignSub, ...).
  void GeneralAssignment(const char* op_name, TFE_Context* context,
                         TFE_TensorHandle* value, TF_Status* status);

	// FlagStateless indicates the message is stateless.
	// This will retain clients across reconnections or
	// if sequence numbers are unexpected.
	FlagStateless

	// FlagPayloadIsErr can be used by individual ops to signify that
	// The payload is a string error converted to byte slice.
	FlagPayloadIsErr

	// FlagPayloadIsZero means that payload is 0-length slice and not nil.
	FlagPayloadIsZero