// AdmissionReviewVersions is an ordered list of preferred `AdmissionReview`
  // versions the Webhook expects. API server will try to use first version in
  // the list which it supports. If none of the versions specified in this list
  // supported by API server, validation will fail for this object.
  // If a persisted webhook configuration specifies allowed versions and does not

exOf(".")+1),a.each(l,function(a,b){if(i=k.indexOf(b)>-1)return!1}),i}),i||(a.formUtils.warn("Trying to upload a file with mime type "+k+" which is not allowed"),e(this,"wrongFileType",l.join(", "),h))),i}return a.formUtils.warn("FileReader not supported by browser, will check file extension"),a.formUtils.validators.validate_extension.validatorFunction(b,f,g,h)},errorMessage:"",errorMessageKey:"wrongFileType"}),a.formUtils.addValidator({name:"extension",validatorFunction:function(b,c,f,g){var h=...

#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)
#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#

        // allows code like "tf.constant(1.)" or "tf.reduce_sum(..., axis=1)"
        // (where the value starts on the host), without allowing other implicit
        // copies/broadcasts. Other implicit copies may be supported eventually,
        // but need special handling for gradients (gradient of copy-on is not
        // just copy-off but includes a sum) and consideration of performance.
        //

      "or NotDifferentiableGradientFunction.",
      s.message());
  ASSERT_EQ(nullptr, outputs[0]);
}

// TODO(b/164171226): Enable this test with tfrt after AddInputList is
// supported. It is needed for IdentityN.
#ifdef PLATFORM_GOOGLE
INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, CppGradients,
    ::testing::Combine(::testing::Values("graphdef", "mlir"),

| `s3:Replication:OperationMissedThreshold`          |
| `s3:Replication:OperationReplicatedAfterThreshold` |

| Supported ILM Transition Event Types |
| :-----                               |
| `s3:ObjectRestore:Post`              |
| `s3:ObjectRestore:Completed`         |

| Supported Global Event Types (Only supported through ListenNotification API) |
| :-----                                                                       |

   *
   * <p>This class is accessible but not supported in GWT as it references {@link
   * PermittedMetaException}.
   */
  protected final class MultiExceptionListIterator implements ListIterator<E> {
    // TODO: track seen elements when order isn't guaranteed
    // TODO: verify contents afterward
    // TODO: something shiny and new instead of Stack
    // TODO: test whether null is supported (create a Feature)
    /**

        }

        static DeadLink forMarkdownLink(File file, String link) {
            return new DeadLink(file, "Markdown-style links are not supported: $link")
        }
    }

package cmd

import (
	"errors"
	"fmt"
	"strconv"
	"strings"
)

const (
	byteRangePrefix = "bytes="
)

// HTTPRangeSpec represents a range specification as supported by S3 GET
// object request.
//
// Case 1: Not present -> represented by a nil RangeSpec
// Case 2: bytes=1-10 (absolute start and end offsets) -> RangeSpec{false, 1, 10}

    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {