(TF_VariableV2Op:$dest $shape, $container, $shard_name),
  [], [(CopyAttrs $src, $dest)]>;


//===----------------------------------------------------------------------===//
// Canonicalize tf.HashTable and its user ops to V2 versions.
//===----------------------------------------------------------------------===//
def HashTableAndInitializeTableToV2 : Pat<
  (TF_InitializeTableFromTextFileOp:$src (TF_HashTableOp $container,

    return findEntry(value, valueHash, hashTableVToK, nextInBucketVToK, values);
  }

  int findEntry(
      @CheckForNull Object o,
      int oHash,
      int[] hashTable,
      int[] nextInBucket,
      @Nullable Object[] array) {
    for (int entry = hashTable[bucket(oHash)]; entry != ABSENT; entry = nextInBucket[entry]) {
      if (Objects.equal(array[entry], o)) {
        return entry;
      }
    }
    return ABSENT;

	// behave differently.
	m[nan] = 1
	m[nan] = 2
	m[nan] += 4

	cnt := 0
	s := 0
	growflag := true
	for k, v := range m {
		if growflag {
			// force a hashtable resize
			for i := 0; i < 50; i++ {
				m[float64(i)] = i
			}
			for i := 50; i < 100; i++ {
				m[float64(i)] += i
			}
			growflag = false
		}
		if k != k {
			cnt++
			s |= v
		}

  PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
  CUMSUM = 128,
  CALL_ONCE = 129,
  BROADCAST_TO = 130,
  RFFT2D = 131,
  CONV_3D = 132,
  IMAG=133,
  REAL=134,
  COMPLEX_ABS=135,
  HASHTABLE = 136,
  HASHTABLE_FIND = 137,
  HASHTABLE_IMPORT = 138,
  HASHTABLE_SIZE = 139,
  REDUCE_ALL = 140,
  CONV_3D_TRANSPOSE = 141,
  VAR_HANDLE = 142,
  READ_VARIABLE = 143,
  ASSIGN_VARIABLE = 144,
}

  PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
  CUMSUM = 128,
  CALL_ONCE = 129,
  BROADCAST_TO = 130,
  RFFT2D = 131,
  CONV_3D = 132,
  IMAG=133,
  REAL=134,
  COMPLEX_ABS=135,
  HASHTABLE = 136,
  HASHTABLE_FIND = 137,
  HASHTABLE_IMPORT = 138,
  HASHTABLE_SIZE = 139,
  REDUCE_ALL = 140,
  CONV_3D_TRANSPOSE = 141,
  VAR_HANDLE = 142,
  READ_VARIABLE = 143,
  ASSIGN_VARIABLE = 144,

  // CHECK-SAME: key_dtype = !tf_type.string
  // CHECK-SAME: shared_name = "table"
  // CHECK-SAME: value_dtype = i32
  // CHECK-SAME: device = ""
  // CHECK-SAME: () -> tensor<!tf_type.resource>
  %handle = "tf.HashTable"() {container = "", device = "", shared_name = "table", key_dtype = !tf_type.string, value_dtype = i32} : () -> tensor<*x!tf_type.stringref>

  // CHECK: "tf.InitializeTableFromTextFileV2"([[handle]]

    Log-Output "Defender Preferences"
    Get-MpPreference
  }
}

# Converts the kube-env string in Yaml
#
# Returns: a PowerShell Hashtable object containing the key-value pairs from
#   kube-env.
function ConvertFrom_Yaml_KubeEnv {
  param (
    [parameter(Mandatory=$true)] [string]$kube_env_str
  )
  $kube_env_table = @{}
  $currentLine = $null

 * limitations under the License.
 */

package org.gradle.internal.hash;

/**
 * A snapshot of the state of some thing.
 */
public interface Hashable {
    /**
     * Appends the snapshot to the given hasher.
     */
    void appendToHasher(Hasher hasher);

   * value, you should always choose it explicitly.
   *
   * <p>The current implementation uses the concurrency level to create a fixed number of hashtable
   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and

   * value, you should always choose it explicitly.
   *
   * <p>The current implementation uses the concurrency level to create a fixed number of hashtable
   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and