// TFSession's are referencing it.
TF_CAPI_EXPORT extern void TF_DeleteGraph(TF_Graph*);

// Operation being built. The underlying graph must outlive this.
typedef struct TF_OperationDescription TF_OperationDescription;

// Operation that has been added to the graph. Valid until the graph is
// deleted -- in particular adding a new operation to the graph does not
// invalidate old TF_Operation* pointers.

  @ParameterizedTest
  @ArgumentsSource(FileSystemParamProvider::class)
  fun iterator(parameters: Pair<FileSystem, Boolean>) {
    setUp(parameters.first, parameters.second)
    set("a", "a1", "a2")
    set("b", "b1", "b2")
    set("c", "c1", "c2")
    val iterator = cache.snapshots()
    assertThat(iterator.hasNext()).isTrue()
    iterator.next().use {
      assertThat(it.key()).isEqualTo("a")

    "true" or "1", this environment variable makes `tf.nn.bias_add` operate
    deterministically (i.e. reproducibly), but currently only when XLA JIT
    compilation is *not* enabled. Setting `TF_DETERMINISTIC_OPS` to "true" or
    "1" also makes cuDNN convolution and max-pooling operate deterministically.
    This makes Keras Conv\*D and MaxPool\*D layers operate deterministically in

needs no assembler pass in the usual pipeline.
Instead, the compiler operates on a kind of semi-abstract instruction set,
and instruction selection occurs partly after code generation.
The assembler works on the semi-abstract form, so
when you see an instruction like <code>MOV</code>
what the toolchain actually generates for that operation might
not be a move instruction at all, perhaps a clear or load.

        .Builder()
        .body("c")
        .build(),
    )
    val urlC = server.url("/c")
    assertThat(get(urlC).body.string()).isEqualTo("c")

    // Confirm the iterator returns those responses...
    val i: Iterator<String> = cache.urls()
    assertThat(i.hasNext()).isTrue()
    assertThat(i.next()).isEqualTo(urlA.toString())
    assertThat(i.hasNext()).isTrue()

know the location of every pointer to Go memory. Because of this,
there are restrictions on passing pointers between Go and C.

In this section the term Go pointer means a pointer to memory
allocated by Go (such as by using the & operator or calling the
predefined new function) and the term C pointer means a pointer to
memory allocated by C (such as by a call to C.malloc). Whether a
pointer is a Go pointer or a C pointer is a dynamic property

- Extended resources backed by DRA feature allowed cluster operator to specify `extendedResourceName` in `DeviceClass`, and application operator to continue using extended resources in pod's requests to request for DRA devices matching the DeviceClass.
  

function toValue(str, measurement, popperOffsets, referenceOffsets) {\n  // separate value from unit\n  const split = str.match(/((?:\\-|\\+)?\\d*\\.?\\d*)(.*)/);\n  const value = +split[1];\n  const unit = split[2];\n\n  // If it's not a number it's an operator, I guess\n  if (!value) {\n    return str;\n  }\n\n  if (unit.indexOf('%') === 0) {\n    let element;\n    switch (unit) {\n      case '%p':\n        element = popperOffsets;\n        break;\n      case '%':\n      case '%r':\n      default:\n  ...

L","compare","sortDetached","expr","elements","matchesSelector","attr","attrHandle","uniqueSort","duplicates","sortStable","createPseudo","relative",">"," ","+","~","preFilter","excess","unquoted","nodeNameSelector","expectedNodeName","pattern","operator","check","result","what","_argument","simple","forward","ofType","_context","xml","outerCache","nodeIndex","start","parent","useCache","diff","firstChild","lastChild","pseudo","args","setFilters","idx","matched","not","matcher","compile","unmatc...

- We no longer allow the cluster operator to delete any suggested priority & fairness bootstrap configuration object. If a cluster operator removes a suggested configuration, it will be restored by the apiserver. ([#102067](https://github.com/kubernetes/kubernetes/pull/102067), [@tkashem](https://github.com/tkashem))