//
//	 e1 := MD5(part-1)
//	 e2 := MD5(part-2)
//	...
//	 eN := MD5(part-N)
//
// Then, the ETag of the object is computed as MD5 of all individual
// part checksums. S3 also encodes the number of parts into the ETag
// by appending a -<number-of-parts> at the end:
//
//	ETag := MD5(e1 || e2 || e3 ... || eN) || -N
//
//	For example: ceb8853ddc5086cc4ab9e149f8f09c88-5
//

	processLocksWriteTotalMD          = NewGaugeMD(processLocksWriteTotal, "Number of current WRITE locks on this peer")
	processCPUTotalSecondsMD          = NewCounterMD(processCPUTotalSeconds, "Total user and system CPU time spent in seconds")
	processGoRoutineTotalMD           = NewGaugeMD(processGoRoutineTotal, "Total number of go routines running")

                    ),
                    "type": "object",
                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "price": {"title": "Price", "type": "number"},
                        "description": IsDict(
                            {
                                "title": "Description",
                                "anyOf": [{"type": "string"}, {"type": "null"}],

                            "anyOf": [{"type": "string"}, {"type": "null"}],
                        },
                        "price": {"title": "Price", "type": "number"},
                        "tax": {
                            "title": "Tax",
                            "anyOf": [{"type": "number"}, {"type": "null"}],
                        },
                        "tags": {
                            "title": "Tags",

// modification of the graph can increase the number of inputs of
// an operation.
TF_CAPI_EXPORT extern void TF_OperationAllInputs(TF_Operation* oper,
                                                 TF_Output* inputs,
                                                 int max_inputs);

// Get the number of current consumers of a specific output of an
// operation.  Note that this number can change when new operations

  }

  public void testEmpty() {
    assertEquals(0, ImmutableTypeToInstanceMap.of().size());
  }

  public void testPrimitiveAndWrapper() {
    ImmutableTypeToInstanceMap<Number> map =
        ImmutableTypeToInstanceMap.<Number>builder()
            .put(Integer.class, 0)
            .put(int.class, 1)
            .build();
    assertEquals(2, map.size());

    assertEquals(0, (int) map.getInstance(Integer.class));

/**
 * An {@link InputStream} that counts the number of bytes read.
 *
 * @author Chris Nokleberg
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public final class CountingInputStream extends FilterInputStream {

  private long count;
  private long mark = -1;

  /**
   * Wraps another input stream, counting the number of bytes read.
   *

                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(
                            # TODO: remove when deprecating Pydantic v1
                            {"title": "Tax", "type": "number"}
                        ),
                    },
                }
            }

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests