pkg debug/dwarf, const ClassStringAlt = 14
pkg debug/dwarf, const ClassStringAlt Class
pkg debug/dwarf, method (*Data) LineReader(*Entry) (*LineReader, error)
pkg debug/dwarf, method (*Entry) AttrField(Attr) *Field
pkg debug/dwarf, method (*LineReader) Next(*LineEntry) error
pkg debug/dwarf, method (*LineReader) Reset()
pkg debug/dwarf, method (*LineReader) Seek(LineReaderPos)

		},
		{
			name:       "select-in-nested-float-no-flat",
			query:      `SELECT s.nested from s3object s WHERE 8.5 IN s.nested[*]`,
			wantResult: ``,
		},
		{
			name:       "select-empty-field-result",
			query:      `SELECT * from s3object s WHERE s.nested[0][0] = 2`,
			wantResult: `{"id":3,"title":"Second Record","desc":"another text","nested":[[2,3,4],[7,8.5,9]]}`,
		},
		{

   * near-simultaneously) then this is the first reason known to this peer.
   */
  internal var errorCode: ErrorCode? = null
    get() = this.withLock { field }

  /** The exception that explains [errorCode]. Null if no exception was provided. */
  internal var errorException: IOException? = null

  init {
    if (headers != null) {

Because Ztunnel can have Istio semantics baked in, we do not need to encode all this information on the wire.
Instead, an Istio specific field like `ExpectedTLSIdentity: spiffe://foo.bar` can encode the same information, at a fraction of the cost.

   * AtomicInteger).
   */

  /** The number of occurrences of each element. */
  private final transient ConcurrentMap<E, AtomicInteger> countMap;

  // This constant allows the deserialization code to set a final field. This holder class
  // makes sure it is not initialized unless an instance is deserialized.
  private static class FieldSettersHolder {
    static final FieldSetter<? super ConcurrentHashMultiset<?>> COUNT_MAP_FIELD_SETTER =

   * calls to Builder.put (though we don't really care *which* two values if there were more than
   * two). These considerations lead us to have a field of type DuplicateKey in the Builder, which
   * will remember the first duplicate key we encountered. All later calls to buildOrThrow() can
   * mention that key with its values. Further duplicates might be added in the meantime but since

	}

	if createdByRel, ok := userSchema.Relationships.Relations["CreatedBy"]; ok {
		if createdByRel.FieldSchema != userSchema {
			t.Fatalf("expects same field schema, but got new %p, old %p", createdByRel.FieldSchema, userSchema)
		}
	} else {
		t.Fatalf("expects created by relations, but not found")
	}
}

func TestEmbeddedHas(t *testing.T) {
	type Toy struct {

                    Severity.ERROR,
                    Version.BASE,
                    prefix + "systemPath",
                    d.getManagementKey(),
                    "must be omitted. This field may only be specified for a dependency with system scope.",
                    d);
        }

        if (request.getValidationLevel() >= ModelBuildingRequest.VALIDATION_LEVEL_MAVEN_2_0) {

### 创建 `Settings` 对象

从 Pydantic 导入 `BaseSettings` 并创建一个子类，与 Pydantic 模型非常相似。

与 Pydantic 模型一样，您使用类型注释声明类属性，还可以指定默认值。

您可以使用与 Pydantic 模型相同的验证功能和工具，比如不同的数据类型和使用 `Field()` 进行附加验证。

```Python hl_lines="2  5-8  11"
{!../../docs_src/settings/tutorial001.py!}
```

/// tip

如果您需要一个快速的复制粘贴示例，请不要使用此示例，而应使用下面的最后一个示例。

///

Você pode utilizar todas as ferramentas e funcionalidades de validação que são utilizadas nos modelos do Pydantic, como tipos de dados diferentes e validações adicionei com `Field()`.

//// tab | Pydantic v2

```Python hl_lines="2  5-8  11"
{!> ../../docs_src/settings/tutorial001.py!}
```

////

//// tab | Pydantic v1

/// info