func (info *Info) recordTypes() bool {
	return info.Types != nil || info.StoreTypesInSyntax
}

// TypeOf returns the type of expression e, or nil if not found.
// Precondition 1: the Types map is populated or StoreTypesInSyntax is set.
// Precondition 2: Uses and Defs maps are populated.
func (info *Info) TypeOf(e syntax.Expr) Type {
	if info.Types != nil {
		if t, ok := info.Types[e]; ok {
			return t.Type
		}

	// is not a defined type. To accommodate for that possibility, we continue
	// unification with the underlying type of a defined type if the other type
	// is a type literal. This is controlled by the exact unification mode.
	// We also continue if the other type is a basic type because basic types
	// are valid underlying types and may appear as core types of type constraints.

	// is not a defined type. To accommodate for that possibility, we continue
	// unification with the underlying type of a defined type if the other type
	// is a type literal. This is controlled by the exact unification mode.
	// We also continue if the other type is a basic type because basic types
	// are valid underlying types and may appear as core types of type constraints.

	All ActionType = 1<<iota - 1 // 1111111

	// Use the general Update type if you don't either know or care the specific sub-Update type to use.
	Update = UpdateNodeAllocatable | UpdateNodeLabel | UpdateNodeTaint | UpdateNodeCondition | UpdateNodeAnnotation
)

// GVK is short for group/version/kind, which can uniquely represent a particular API resource.
type GVK string

// Constants for GVKs.
const (

    * 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다.
* `Decimal`:
    * 표준 파이썬의 `Decimal`.
    * 요청과 응답에서 `float`와 동일하게 다뤄집니다.
* 여기에서 모든 유효한 pydantic 데이터 자료형을 확인할 수 있습니다: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic 데이터 자료형</a>.

## 예시

위의 몇몇 자료형을 매개변수로 사용하는 *경로 작동* 예시입니다.

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"

// Error implements Error interface
func (b BatchJobYamlErr) Error() string {
	return fmt.Sprintf("%s\n Hint: error near line: %d, col: %d", b.msg, b.line, b.col)
}

// BatchJobKV is a key-value data type which supports wildcard matching
type BatchJobKV struct {
	line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

Tom Tresansky <******@****.***> 1717189278 -0400

import org.jetbrains.kotlin.analysis.api.descriptors.types.KaFe10ClassErrorType
import org.jetbrains.kotlin.analysis.api.descriptors.types.KaFe10UsualClassType
import org.jetbrains.kotlin.analysis.api.descriptors.types.base.KaFe10Type
import org.jetbrains.kotlin.analysis.api.lifetime.KaLifetimeToken
import org.jetbrains.kotlin.analysis.api.types.KaStarTypeProjection
import org.jetbrains.kotlin.analysis.api.types.KaType

import org.jetbrains.kotlin.analysis.api.lifetime.withValidityAssertion
import org.jetbrains.kotlin.analysis.api.types.KaCapturedType
import org.jetbrains.kotlin.analysis.api.types.KaTypeNullability
import org.jetbrains.kotlin.analysis.api.types.KaTypeProjection
import org.jetbrains.kotlin.analysis.api.types.KaUsualClassType
import org.jetbrains.kotlin.types.checker.NewCapturedType

internal class KaFe10NewCapturedType(

import org.jetbrains.kotlin.analysis.api.types.KaCapturedType
import org.jetbrains.kotlin.analysis.api.types.KaTypeNullability
import org.jetbrains.kotlin.analysis.api.types.KaTypeProjection
import org.jetbrains.kotlin.analysis.api.types.KaUsualClassType
import org.jetbrains.kotlin.fir.types.ConeCapturedType
import org.jetbrains.kotlin.fir.types.renderForDebugging

internal class KaFirCapturedType(