/**
     * Identifier used to encode this strategy, when marshalled as part of a BloomFilter. Only
     * values in the [-128, 127] range are valid for the compact serial form. Non-negative values
     * are reserved for enums defined in BloomFilterStrategies; negative values are reserved for any
     * custom, stateful strategy we may define (e.g. any kind of strategy that would depend on user
     * input).
     */
    int ordinal();
  }

   * @param padding an extra amount to "grow" the array by if growth is necessary
   * @throws IllegalArgumentException if {@code minLength} or {@code padding} is negative
   * @return an array containing the values of {@code array}, with guaranteed minimum length {@code
   *     minLength}
   */
  public static float[] ensureCapacity(float[] array, int minLength, int padding) {

      // Since index and (dataset.length - 1) are non-negative ints, their product can be expressed
      // as a long, without risk of overflow:
      long numerator = (long) index * (dataset.length - 1);
      // Since scale is a positive int, index is in [0, scale], and (dataset.length - 1) is a
      // non-negative int, we can do long-arithmetic on index * (dataset.length - 1) / scale to get

// a Pod with ResourceClaims that use "WaitForFirstConsumer" allocation
// mode.
//
// This is an alpha type and requires enabling the DynamicResourceAllocation
// feature gate.
message PodSchedulingContext {
  // Standard object metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Spec describes where resources for the Pod are needed.

---

Se você usar o Pycharm, você pode:

* Abrir o menu "Executar".
* Selecionar a opção "Depurar...".
* Então um menu de contexto aparece.
* Selecionar o arquivo para depurar (neste caso, `main.py`).

Em seguida, ele iniciará o servidor com seu código **FastAPI**, parará em seus pontos de interrupção, etc.

Veja como pode parecer:

Neste caso, nós passamos a função `get_current_active_user` como dependência para `Security` (da mesma forma que nós faríamos com `Depends`).

Mas nós também passamos uma `list` de escopos, neste caso com apenas um escopo: `items` (poderia ter mais).

4. A dataclass `Author` é usada como o parâmetro `response_model`.

5. Você pode usar outras anotações de tipo padrão com dataclasses como o corpo da requisição.

    Neste caso, é uma lista de dataclasses `Item`.

6. Aqui estamos retornando um dicionário que contém `items`, que é uma lista de dataclasses.

* Add kubelet_node_name metrics. ([#72910](https://github.com/kubernetes/kubernetes/pull/72910), [@danielqsj](https://github.com/danielqsj))
* The HugePages feature gate has graduated to GA, and can no longer be disabled. The feature gate will be removed in v1.16 ([#72785](https://github.com/kubernetes/kubernetes/pull/72785), [@derekwaynecarr](https://github.com/derekwaynecarr))

			input:    []int{1, 2, 3},
			trimLen:  1,
			expected: []int{1, 2},
		},
		{
			name:     "Empty slice",
			input:    []int{},
			trimLen:  2,
			expected: []int{},
		},
		{
			name:     "Negative trim length (should be treated as zero)",
			input:    []int{1, 2, 3},
			trimLen:  -1,
			expected: []int{1, 2, 3},
		},
	}

	for _, testcase := range tests {
		t.Run(testcase.name, func(t *testing.T) {

# ADR-0004 - Use a platform-oriented architecture for Gradle

## Date

2024-02-07

## Context

The Gradle code base is essentially a large monolith, without strong internal boundaries.
This has a number of negative effects on productivity, including:

- Unclear ownership of code.
- Difficult to focus on one particular area.
- Unintended coupling between areas of the code, including tests.

## Decision