Если вам нужно освежить знания, как использовать аннотации типов в Python (даже если вы не используете FastAPI), выделите 2 минуты и просмотрите краткое руководство: [Введение в аннотации типов Python¶
](python-types.md){.internal-link target=_blank}.

Вы пишете на стандартном Python с аннотациями типов:

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/base64.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/util/debug_data_dumper.h"

            }
            return new ByteArrayOutputStream();
        }
    }

    /**
     * Creates an OutputStream from a ToXContent object with the specified media type.
     *
     * @param xContent the content object to convert
     * @param mediaType the media type for the output
     * @return an OutputStream containing the converted content
     */

        return stream(value == null ? null : value.split(regex));
    }

    /**
     * Creates a stream of map entries from the given map.
     *
     * @param <K> the type of keys in the map
     * @param <V> the type of values in the map
     * @param map the map to create a stream from; if {@code null}, an empty stream is returned

    }

    // Getters and Setters

    /**
     * Gets the event type.
     *
     * @return the event type
     */
    public WitnessEventType getEventType() {
        return eventType;
    }

    /**
     * Sets the event type.
     *
     * @param eventType the event type
     */
    public void setEventType(WitnessEventType eventType) {

labels.advance_search_should_queries=Bevat een van de woorden
labels.advance_search_not_queries=Bevat de woorden niet
labels.advance_search_filetype=Bestandstype
labels.advance_search_filetype_default=Alle typen
labels.advance_search_filetype_html=HTML
labels.advance_search_filetype_pdf=PDF
labels.advance_search_filetype_word=MS Word
labels.advance_search_filetype_excel=MS Excel

### `UploadFile` { #uploadfile }

`UploadFile` has the following attributes:

* `filename`: A `str` with the original file name that was uploaded (e.g. `myimage.jpg`).
* `content_type`: A `str` with the content type (MIME type / media type) (e.g. `image/jpeg`).

				update = false
				if isArrayKind {
					db.Statement.ReflectValue.Set(reflect.Zero(reflectValue.Type()))
				} else {
					// if the slice cap is externally initialized, the externally initialized slice is directly used here
					if reflectValue.Cap() == 0 {
						db.Statement.ReflectValue.Set(reflect.MakeSlice(reflectValue.Type(), 0, 20))
					} else {
						reflectValue.SetLen(0)
						db.Statement.ReflectValue.Set(reflectValue)

 */
package org.codelibs.core.misc;

/**
 * A tuple of three values.
 *
 * @author koichik
 * @param <T1>
 *            The type of the first value
 * @param <T2>
 *            The type of the second value
 * @param <T3>
 *            The type of the third value
 */
public class Tuple3<T1, T2, T3> {

    /** The first value */
    protected T1 value1;

    /** The second value */

// dataUsageHash is the hash type used.
type dataUsageHash string

// sizeHistogramV1 is size histogram V1, which has fewer intervals esp. between
// 1024B and 1MiB.
type sizeHistogramV1 [dataUsageBucketLenV1]uint64

// sizeHistogram is a size histogram.
type sizeHistogram [dataUsageBucketLen]uint64

// versionsHistogram is a histogram of number of versions in an object.
type versionsHistogram [dataUsageVersionLen]uint64