Description:    "The provided 'x-amz-content-sha256' header does not match what was computed.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrContentChecksumMismatch: {
		Code:           "XAmzContentChecksumMismatch",
		Description:    "The provided 'x-amz-checksum' header does not match what was computed.",
		HTTPStatusCode: http.StatusBadRequest,
	},

	// MinIO extensions.
	ErrStorageFull: {

  }

  public void testInvalidateDuringLoading() throws InterruptedException, ExecutionException {
    // computation starts; invalidate() is called on the key being computed, computation finishes
    CountDownLatch computationStarted = new CountDownLatch(2);
    CountDownLatch letGetFinishSignal = new CountDownLatch(1);
    CountDownLatch getFinishedSignal = new CountDownLatch(2);

build:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current

							err = msgp.WrapError(err, "AllTierStats")
							return
						}
					}
				}
			}
			zb0001Mask |= 0x1
		case "c":
			z.Compacted, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "Compacted")
				return
			}
		default:
			err = dc.Skip()
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}

    @SuppressWarnings("nullness")
    ListenableFuture<List<V>> nonNull = nullable;
    return nonNull;
  }

  /**
   * Creates a {@link FutureCombiner} that processes the completed futures whether or not they're
   * successful.
   *
   * <p>Any failures from the input futures will not be propagated to the returned future.
   *
   * @since 20.0
   */
  @SafeVarargs

                                    TF_Status* status, TF_Output* dy);

// Adds operations to compute the partial derivatives of sum of `y`s w.r.t `x`s,
// i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
// This is a variant of TF_AddGradients that allows to caller to pass a custom
// name prefix to the operations added to a graph to compute the gradients.
//
// `dx` are used as initial gradients (which represent the symbolic partial

)

config_setting(
    name = "with_xla_support",
    define_values = {"with_xla_support": "true"},
    visibility = ["//visibility:public"],
)

# By default, XLA GPU is compiled into tensorflow when building with
# --config=cuda even when `with_xla_support` is false. The config setting
# here allows us to override the behavior if needed.
config_setting(
    name = "no_xla_deps_in_cuda",

	"github.com/minio/pkg/v3/env"
	"github.com/minio/pkg/v3/policy"
	"github.com/minio/pkg/v3/workers"
	"gopkg.in/yaml.v3"
)

var globalBatchConfig batch.Config

const (
	// Keep the completed/failed job stats 3 days before removing it
	oldJobsExpiration = 3 * 24 * time.Hour

	redactedText = "**REDACTED**"
)

// BatchJobRequest this is an internal data structure not for external consumption.

 * }
 * }
 *
 * <p>would be flagged as having called {@code sqrt()} with an illegal argument.
 *
 * <h3>Performance</h3>
 *
 * <p>Avoid passing message arguments that are expensive to compute; your code will always compute
 * them, even though they usually won't be needed. If you have such arguments, use the conventional
 * if/throw idiom instead.
 *

        // No specific setup needed - tests will create their own files
        log.debug("Test setup completed");
    }

    @AfterEach
    void cleanupTest() throws Exception {
        // Simple cleanup between tests
        try {
            System.gc();
            Thread.sleep(100);
            log.debug("Test cleanup completed");
        } catch (Exception e) {
            log.warn("Failed to cleanup test", e);
        }