you can also declare a group of `examples` with additional information that will be added to their **JSON Schemas** inside of **OpenAPI**.

### `Body` with `examples` { #body-with-examples }

Here we pass `examples` containing one example of the data expected in `Body()`:

{* ../../docs_src/schema_extra_example/tutorial003_an_py310.py hl[22:29] *}

### Example in the docs UI { #example-in-the-docs-ui }

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

            context = new PreauthIntegrityNegotiateContext(mockConfig, hashAlgos, null);

            assertNull(context.getSalt());
            assertEquals(6, context.size()); // 4 header + 2 for one hash algo
        }

        @Test
        @DisplayName("Should handle both null parameters")
        void testBothNullParameters() {
            context = new PreauthIntegrityNegotiateContext(mockConfig, null, null);

		}
	}

	if maxCnt >= writeQuorum {
		return dataDir
	}

	return ""
}

// Returns number of errors that occurred the most (incl. nil) and the
// corresponding error value. NB When there is more than one error value that
// occurs maximum number of times, the error value returned depends on how
// golang's map orders keys. This doesn't affect correctness as long as quorum

    // need explicit type parameter to avoid javac warning!?
    List<Float> none = Arrays.<Float>asList();
    assertThat(Floats.toArray(none)).isEqualTo(EMPTY);

    List<Float> one = Arrays.asList(1.0f);
    assertThat(Floats.toArray(one)).isEqualTo(ARRAY1);

    float[] array = {0.0f, 1.0f, 3.0f};

    List<Float> three = Arrays.asList(0.0f, 1.0f, 3.0f);
    assertThat(Floats.toArray(three)).isEqualTo(array);

    // need explicit type parameter to avoid javac warning!?
    List<Integer> none = Arrays.<Integer>asList();
    assertThat(Ints.toArray(none)).isEqualTo(EMPTY);

    List<Integer> one = Arrays.asList((int) 1);
    assertThat(Ints.toArray(one)).isEqualTo(ARRAY1);

    int[] array = {(int) 0, (int) 1, (int) 0xdeadbeef};

    List<Integer> three = Arrays.asList((int) 0, (int) 1, (int) 0xdeadbeef);

    // need explicit type parameter to avoid javac warning!?
    List<Float> none = Arrays.<Float>asList();
    assertThat(Floats.toArray(none)).isEqualTo(EMPTY);

    List<Float> one = Arrays.asList(1.0f);
    assertThat(Floats.toArray(one)).isEqualTo(ARRAY1);

    float[] array = {0.0f, 1.0f, 3.0f};

    List<Float> three = Arrays.asList(0.0f, 1.0f, 3.0f);
    assertThat(Floats.toArray(three)).isEqualTo(array);

-monitoring/ title: How to monitor your FastAPI service - author: Precious Ndubueze author_link: https://medium.com/@gabbyprecious2000 link: https://medium.com/@gabbyprecious2000/creating-a-crud-app-with-fastapi-part-one-7c049292ad37 title: Creating a CRUD App with FastAPI (Part one) - author: Farhad Malik author_link: https://medium.com/@farhadmalik link: https://towardsdatascience.com/build-and-host-fast-data-science-applications-using-fastapi-823be8a1d6a0 title: Build And Host Fast Data Science...

import java.util.Objects;
import java.util.stream.Collector;
import org.jspecify.annotations.Nullable;

/**
 * A Bloom filter for instances of {@code T}. A Bloom filter offers an approximate containment test
 * with one-sided error: if it claims that an element is contained in it, this might be in error,
 * but if it claims that an element is <i>not</i> contained in it, then this is definitely true.
 *

func (s sparseEntry) endOffset() int64 { return s.Offset + s.Length }

// A sparse file can be represented as either a sparseDatas or a sparseHoles.
// As long as the total size is known, they are equivalent and one can be
// converted to the other form and back. The various tar formats with sparse
// file support represent sparse files in the sparseDatas form. That is, they