==============================================================================*/

#include "tensorflow/c/eager/c_api_unified_experimental.h"

#include <memory>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"

func (r *Reader) ActualSize() int64 { return r.actualSize }

// ETag returns the ETag computed by an underlying etag.Tagger.
// If the underlying io.Reader does not implement etag.Tagger
// it returns nil.
func (r *Reader) ETag() etag.ETag {
	if t, ok := r.src.(etag.Tagger); ok {
		return t.ETag()
	}
	return nil
}

// MD5Current returns the MD5 checksum of the content

    private final Adder adder;

    FailsToForwardReturnValue(Adder adder) {
      this.adder = adder;
    }

    @Override
    public int add(int a, int b) {
      return adder.add(a, b) + 1;
    }

    @Override
    public String toString() {
      return adder.toString();
    }
  }

  private static class FailsToPropagateException implements Adder {

#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_

#include <functional>
#include <map>
#include <memory>
#include <vector>

#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/immediate_execution_distributed_manager.h"

            "//tensorflow/core/common_runtime/eager:attr_builder",
            "//tensorflow/core/common_runtime/eager:context",
            "//tensorflow/core/common_runtime/eager:copy_to_device_node",
            "//tensorflow/core/common_runtime/eager:eager_executor",
            "//tensorflow/core/common_runtime/eager:eager_operation",
            "//tensorflow/core/common_runtime/eager:execute",

    private void updatePagerByAgg(final SearchLogPager pager, final int size) {
        pager.setAllPageCount(1);
        pager.setAllRecordCount(size);
        pager.setCurrentPageNumber(1);
        pager.setExistNextPage(false);
        pager.setExistPrePage(false);
        pager.setPageSize(pager.getPageSize());
    }

    private void createSearchLogCondition(final SearchLogPager pager, final SearchLogCB cb) {

#include "tensorflow/c/eager/c_api_internal.h"
#include "tensorflow/c/eager/immediate_execution_operation.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/eager/tfe_context_internal.h"
#include "tensorflow/c/eager/tfe_op_internal.h"
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/c/tf_status.h"

        this.name = value;
    }

    public String getPager() {
        checkSpecifiedProperty("pager");
        return convertEmptyToNull(pager);
    }

    public void setPager(String value) {
        registerModifiedProperty("pager");
        this.pager = value;
    }

    public String getPassword() {
        checkSpecifiedProperty("password");

    private final Adder adder;

    FailsToForwardReturnValue(Adder adder) {
      this.adder = adder;
    }

    @Override
    public int add(int a, int b) {
      return adder.add(a, b) + 1;
    }

    @Override
    public String toString() {
      return adder.toString();
    }
  }

  private static class FailsToPropagateException implements Adder {

En faisant cela, votre éditeur pourra vous aider, même pendant que vous traitez des éléments de la liste.

<img src="/img/python-types/image05.png">

Sans types, c'est presque impossible à réaliser.

Vous remarquerez que la variable `item` n'est qu'un des éléments de la list `items`.

Et pourtant, l'éditeur sait qu'elle est de type `str` et pourra donc vous aider à l'utiliser.

#### `Tuple` et `Set`