logging.info("Pushing branch")
    subprocess.run(["git", "push", "origin", branch_name], check=True)
    logging.info("Creating PR")
    pr = repo.create_pull(title=message, body=message, base="master", head=branch_name)
    logging.info(f"Created PR: {pr.number}")
    logging.info("Finished")


if __name__ == "__main__":

  }

  @Test fun nullDefaultProxySelector() {
    server!!.enqueue(MockResponse(body = "abc"))
    ProxySelector.setDefault(null)
    val client = clientTestRule.newClient()
    val request = Request(server!!.url("/"))
    val response = client.newCall(request).execute()
    assertThat(response.body.string()).isEqualTo("abc")
  }

  @Test fun sslSocketFactorySetAsSocketFactory() {

		<button type="button" class="btn-close" data-bs-dismiss="offcanvas" aria-label="Close"></button>
	</div>
	<div class="offcanvas-body">
		<c:forEach var="fieldData" items="${facetResponse.fieldList}">
			<c:if test="${fieldData.name == 'label' && fieldData.valueCountMap.size() > 0}">
				<ul class="list-group mb-2">

labels: [question]
body:
  - type: markdown
    attributes:
      value: |
        Thanks for your interest in FastAPI! 🚀

        Please follow these instructions, fill every question, and do every step. 🙏

        I'm asking this because answering questions and solving problems in GitHub is what consumes most of the time.

In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, gender identity and expression, level of experience,
nationality, personal appearance, race, religion, or sexual identity and
orientation.

## Our Standards

위 예제에서 입력 모델은 Pydantic v1 모델이고, 출력 모델(`response_model=ItemV2`로 정의됨)은 Pydantic v2 모델입니다.

### Pydantic v1 파라미터 { #pydantic-v1-parameters }

Pydantic v1 모델과 함께 `Body`, `Query`, `Form` 등 파라미터용 FastAPI 전용 도구 일부를 사용해야 한다면, Pydantic v2로의 마이그레이션을 마칠 때까지 `fastapi.temp_pydantic_v1_params`에서 import할 수 있습니다:

{* ../../docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py hl[4,18] *}

    // TODO test jdk.tls.client.enableSessionTicketExtension
    // TODO check debugging information

    enableTls()

    server.enqueue(MockResponse(body = "abc"))

    val request = Request(server.url("/"))

    val response = client.newCall(request).execute()

    response.use {
      assertEquals(200, response.code)
      if (PlatformVersion.majorVersion > 11) {

    logging.info("Pushing branch")
    subprocess.run(["git", "push", "origin", branch_name], check=True)
    logging.info("Creating PR")
    pr = repo.create_pull(title=message, body=message, base="master", head=branch_name)
    logging.info(f"Created PR: {pr.number}")
    logging.info("Finished")


if __name__ == "__main__":

name: Feature Enhancement Request
description: I want to make an existing feature better
labels: ["type=enhancement"]
body:
  - type: markdown
    attributes:
      value: >
        Filing feature requests is one of the most popular ways to contribute to Guava.


        Be aware, though: most feature requests are not accepted, even if they're suggested by
        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our

### Pydantic v1 parameters { #pydantic-v1-parameters }

If you need to use some of the FastAPI-specific tools for parameters like `Body`, `Query`, `Form`, etc. with Pydantic v1 models, you can import them from `fastapi.temp_pydantic_v1_params` while you finish the migration to Pydantic v2:

{* ../../docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py hl[4,18] *}