max = Math.max(max, array[i]);
    }
    return max;
  }

  /**
   * Returns the value nearest to {@code value} which is within the closed range {@code [min..max]}.
   *
   * <p>If {@code value} is within the range {@code [min..max]}, {@code value} is returned
   * unchanged. If {@code value} is less than {@code min}, {@code min} is returned, and if {@code

      // the null value might be out of bounds, so we can't always construct a subset with nulls
      features.add(CollectionFeature.ALLOWS_NULL_QUERIES);
      // but add null might still be supported if it happens to be within range of the subset
      suppressing.add(CollectionAddTester.getAddNullUnsupportedMethod());
      suppressing.add(CollectionAddAllTester.getAddAllNullUnsupportedMethod());
    }

    return newBuilderUsing(delegate, to, from)

      // the null value might be out of bounds, so we can't always construct a subset with nulls
      features.add(CollectionFeature.ALLOWS_NULL_QUERIES);
      // but add null might still be supported if it happens to be within range of the subset
      suppressing.add(CollectionAddTester.getAddNullUnsupportedMethod());
      suppressing.add(CollectionAddAllTester.getAddAllNullUnsupportedMethod());
    }

    return newBuilderUsing(delegate, to, from)

* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande planilha com números e em multiplicar todos eles juntos e ao mesmo tempo.

* **Deep Learning**: Esse é um subcampo do Machine Learning, então, o mesmo se aplica. A diferença é que não há apenas uma grande planilha com números para multiplicar, mas um grande conjunto delas, e em muitos casos, você utiliza um processador especial para construir e/ou usar esses modelos.

    - [CVE-2025-5187: Nodes can delete themselves by adding an OwnerReference](#cve-2025-5187-nodes-can-delete-themselves-by-adding-an-ownerreference)
  - [Changes by Kind](#changes-by-kind)
    - [API Change](#api-change)
    - [Feature](#feature)
    - [Bug or Regression](#bug-or-regression)
  - [Dependencies](#dependencies)
    - [Added](#added)
    - [Changed](#changed)
    - [Removed](#removed)
- [v1.33.3](#v1333)

  LOWER_CAMEL(CharMatcher.inRange('A', 'Z'), "") {
    @Override
    String normalizeWord(String word) {
      return firstCharOnlyToUpper(word);
    }

    @Override
    String normalizeFirstWord(String word) {
      return Ascii.toLowerCase(word);
    }
  },

  /** Java and C++ class naming convention, e.g., "UpperCamel". */
  UPPER_CAMEL(CharMatcher.inRange('A', 'Z'), "") {
    @Override

The CI folder contains the configuration files and scripts used to build, test,
and deploy TensorFlow. This folder is typically used by continuous integration
(CI) tools to build and test TensorFlow whenever there is a change to the
code. This folder is broken into subfolders that represent the level of support

/**
 * Builds the toolchains model from a previously configured filesystem path to the toolchains file.
 * <strong>Note:</strong> This is an internal component whose interface can change without prior notice.
 *
 * @deprecated use {@link org.apache.maven.toolchain.building.ToolchainsBuilder} instead
 */
@Deprecated
public interface ToolchainsBuilder {

    /**

        // Initial state
        assertNull(testRule.getRuleId());

        // Set rule ID
        testRule.setRuleId("testRule1");
        assertEquals("testRule1", testRule.getRuleId());

        // Change rule ID
        testRule.setRuleId("changedRule");
        assertEquals("changedRule", testRule.getRuleId());

        // Set null rule ID
        testRule.setRuleId(null);
        assertNull(testRule.getRuleId());

Como parte disso, eu precisava investigar, testar e usar muitas alternativas.

A história do **FastAPI** é, em grande parte, a história de seus predecessores.

Como dito na seção [Alternativas](alternatives.md){.internal-link target=_blank}:

<blockquote markdown="1">

**FastAPI** não existiria se não pelo trabalho anterior de outros.