# For most projects, this workflow file will not need changing; you simply need
# to commit it to your repository.
#
# You may wish to alter this file to override the set of languages analyzed,
# or to provide custom queries or build logic.
name: "CodeQL"

on:
  push:
    branches: [master]
  pull_request:
    # The branches below must be a subset of the branches above
    branches: [master]
  schedule:
    - cron: '0 11 * * 4'

jobs:

Crie funções com um nome que comece com `test_` (essa é a convenção padrão do `pytest`).

Use o objeto `TestClient` da mesma forma que você faz com `httpx`.

Escreva instruções `assert` simples com as expressões Python padrão que você precisa verificar (novamente, `pytest` padrão).

{* ../../docs_src/app_testing/tutorial001.py hl[2,12,15:18] *}

/// tip | Dica

          sb.append(DELIMITER_STRING);
        }
        sb.append(comp);
      }
      dummy ^= sb.toString().length();
    }
    return dummy;
  }

  /**
   * Similar to the above, but keeps a boolean flag rather than checking for the string accumulated
   * so far being empty. As a result, it does not have the above-mentioned bug.
   */
  @Benchmark
  int booleanIfFirst(int reps) {

    public Map<String, String[]> fields = new HashMap<>();

    /** The conditions. */
    public Map<String, String[]> as = new HashMap<>();

    /** The extra queries. */
    public String[] ex_q;

    /** The similar document hash. */
    public String sdh;

    @Override
    public String getQuery() {
        return q;
    }

    @Override
    public String[] getExtraQueries() {

    }
  }

  public static class ImmutableSortedMapEntryListGenerator
      implements TestListGenerator<Entry<String, Integer>> {

    @Override
    public SampleElements<Entry<String, Integer>> samples() {
      return new SampleElements<>(
          mapEntry("foo", 5),
          mapEntry("bar", 3),
          mapEntry("baz", 17),
          mapEntry("quux", 1),
          mapEntry("toaster", -2));
    }

        private final int dataCompactionMode = 1;
        private final int dataLength = 1024;
        private final int dataOffset = 54;

        @BeforeEach
        public void setUp() {
            // Build a sample buffer
            int bufferIndex = 0;
            bufferIndex += 2; // reserved
            writeInt2(dataCompactionMode, buffer, bufferIndex);
            bufferIndex += 2;
            bufferIndex += 2; // reserved

	anonReq *http.Request, bucketPolicy *policy.BucketPolicy,
) {
	anonTestStr := "Anonymous HTTP request test"
	unknownSignTestStr := "Unknown HTTP signature test"

	// simple function which returns a message which gives the context of the test
	// and then followed by the actual error message.
	failTestStr := func(testType, failMsg string) string {

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

Mas você também pode explorar os benefícios do paralelismo e multiprocessamento (tendo múltiplos processadores rodando em paralelo) para trabalhos **limitados por CPU** como aqueles em sistemas de Machine Learning.

Isso, somado ao simples fato que Python é a principal linguagem para **Data Science**, Machine Learning e especialmente Deep Learning, faz do FastAPI uma ótima escolha para APIs web e aplicações com Data Science / Machine Learning (entre muitas outras).

### Autres formes de code asynchrone

L'utilisation d'`async` et `await` est relativement nouvelle dans ce langage.

Mais cela rend la programmation asynchrone bien plus simple.

Cette même syntaxe (ou presque) était aussi incluse dans les versions modernes de Javascript (dans les versions navigateur et NodeJS).

Mais avant ça, gérer du code asynchrone était bien plus complexe et difficile.