See src/README.vendor for information on loading vendored packages

Ian Lance Taylor <******@****.***> 1645759397 -0800

TensorFlower Gardener <******@****.***> 1752847743 -0700

Shinsuke Sugaya <******@****.***> 1756611074 +0900

Like `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

    override fun asName(): String = "${type.displayName} - ${os.asName()}"

    override fun channel() = "${type.channel}${if (os == Os.LINUX) "" else "-${os.name.lowercase(Locale.US)}"}-%teamcity.build.branch%"
}

data class FlameGraphGeneration(
    private val uuid: Int,
    private val name: String,
    private val scenarios: List<PerformanceScenario>,

abstract class AdHocPerformanceScenario(
    os: Os,
    arch: Arch = Arch.AMD64,
) : BuildType({
        val id = "Util_Performance_AdHocPerformanceScenario${os.asName()}${arch.asName()}"
        name = "AdHoc Performance Scenario - ${os.asName()} ${arch.asName()}"
        id(id)

        applyPerformanceTestSettings(os = os, arch = arch, timeout = 420)
        artifactRules = INDIVIDUAL_PERFORAMCE_TEST_ARTIFACT_RULES

    System.out.println(response.getContentAsString());
}
```

### Asynchronous request

```java
import org.codelibs.curl.Curl;

Curl.post("https://api.example.com/items")
    .body("{\"name\":\"item1\"}")
    .header("Content-Type", "application/json")
    .execute(
        response -> System.out.println("Async status: " + response.getHttpStatusCode()),
        error -> error.printStackTrace());
```

Jesse Wilson <******@****.***> 1751916753 -0400

Jesse Wilson <******@****.***> 1751916753 -0400