// Set up deferred buffer chain to avoid NPE
        mockDeferredNdrBuffer.deferred = mockDeferredNdrBuffer; // Self-reference to avoid NPE
        lenient().when(mockNdrBuffer.derive(anyInt())).thenReturn(mockDeferredNdrBuffer);
        lenient().when(mockDeferredNdrBuffer.derive(anyInt())).thenReturn(mockDeferredNdrBuffer);

        // Set up lenient stubs for common operations to avoid unnecessary stubbing exceptions

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_CONTEXT_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_CONTEXT_H_

#include <memory>

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/c/eager/abstract_operation.h"

namespace tensorflow {

      - coverage-combine
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - name: Decide whether the needed jobs succeeded or failed
        uses: re-actors/alls-green@release/v1
        with:

    assertThat(networkA.edgeOrder()).isEqualTo(networkB.edgeOrder());

    assertThat(networkA).isEqualTo(networkB);
  }

  /**
   * In some cases our graph implementations return custom sets that define their own size() and
   * contains(). Verify that these sets are consistent with the elements of their iterator.
   */
  @CanIgnoreReturnValue
  static <T> Set<T> sanityCheckSet(Set<T> set) {

## Documentation Response description - OpenAPI { #documentation-response-description-openapi }

To define the description of the response, shown in the docs UI, read the docs for [Tutorial - Path Operation Configurations - Response description](../tutorial/path-operation-configuration.md#response-description){.internal-link target=_blank}.

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_CHECKPOINT_READER_H_
#define TENSORFLOW_C_CHECKPOINT_READER_H_

#include <memory>
#include <string>

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/status.h"

    needs:
      - pre-commit
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - name: Decide whether the needed jobs succeeded or failed
        uses: re-actors/alls-green@release/v1
        with:

# Special characters for example : ',",<,>,{,}
MINIO_ACCESSKEY_SECRETKEY_TMP="/tmp/accessKey_and_secretKey_svcacct_tmp"

# connectToMinio
# Use a check-sleep-check loop to wait for MinIO service to be available
connectToMinio() {
  SCHEME=$1
  ATTEMPTS=0 ; LIMIT=29 ; # Allow 30 attempts
  set -e ; # fail if we can't read the keys.
  ACCESS=$(cat /config/rootUser) ; SECRET=$(cat /config/rootPassword) ;

     * @return array of supported algorithm constants
     */
    int[] getSupportedAlgorithms();

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)

```

///

## Importe `Form` { #import-form }

Importe `Form` de `fastapi`:

{* ../../docs_src/request_forms/tutorial001_an_py39.py hl[3] *}

## Defina parâmetros de `Form` { #define-form-parameters }

Crie parâmetros de formulário da mesma forma que você faria para `Body` ou `Query`:

{* ../../docs_src/request_forms/tutorial001_an_py39.py hl[9] *}