# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
# yarn lockfile v1


"@colors/colors@1.5.0":
  version "1.5.0"
  resolved "https://registry.yarnpkg.com/@colors/colors/-/colors-1.5.0.tgz#bb504579c1cae923e6576a4f5da43d25f97bdbd9"
  integrity sha512-ooWCrlZP11i8GImSjTHYHLkvFDP48nS4+204nGb1RiX/WXYHmJA2III9/e2DWVabCESdW7hBAEzHRqUn9OUVvQ==

"@discoveryjs/json-ext@^0.5.0":
  version "0.5.7"

	batchReplVersion      = batchReplVersionV1
	batchJobName          = "job.bin"
	batchJobPrefix        = "batch-jobs"
	batchJobReportsPrefix = batchJobPrefix + "/reports"

	batchReplJobAPIVersion        = "v1"
	batchReplJobDefaultRetries    = 3
	batchReplJobDefaultRetryDelay = time.Second
)

func getJobPath(job BatchJobRequest) string {
	return pathJoin(batchJobPrefix, job.ID)
}

    exclude_defaults: bool = False,
    exclude_none: bool = False,
    is_coroutine: bool = True,
) -> Any:
    if field:
        errors = []
        if not hasattr(field, "serialize"):
            # pydantic v1
            response_content = _prepare_response_content(
                response_content,
                exclude_unset=exclude_unset,
                exclude_defaults=exclude_defaults,

		a.Scale = int16(scale)
	}
}

// registerList parses an ARM or ARM64 register list expression, a list of
// registers in []. There may be comma-separated ranges or individual
// registers, as in [R1,R3-R5] or [V1.S4, V2.S4, V3.S4, V4.S4].
// For ARM, only R0 through R15 may appear.
// For ARM64, V0 through V31 with arrangement may appear.
//
// For 386/AMD64 register list specifies 4VNNIW-style multi-source operand.

# SQL (关系型) 数据库

/// info

这些文档即将被更新。🎉

当前版本假设Pydantic v1和SQLAlchemy版本小于2。

新的文档将包括Pydantic v2以及 <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a>（也是基于SQLAlchemy），一旦SQLModel更新为为使用Pydantic v2。

///

**FastAPI**不需要你使用SQL(关系型)数据库。

但是您可以使用任何您想要的关系型数据库。

在这里，让我们看一个使用着[SQLAlchemy](https://www.sqlalchemy.org/)的示例。

您可以很容易地将其调整为任何SQLAlchemy支持的数据库，如：

* PostgreSQL
* MySQL

 JavaScript requires jQuery. jQuery must be included before Bootstrap's JavaScript.");var t=g.fn.jquery.split(" ")[0].split(".");if(t[0]<2&&t[1]<9||1===t[0]&&9===t[1]&&t[2]<1||4<=t[0])throw new Error("Bootstrap's JavaScript requires at least jQuery v1.9.1 but less than v4.0.0")}};_.jQueryDetection(),g.fn.emulateTransitionEnd=o,g.event.special[_.TRANSITION_END]={bindType:n,delegateType:n,handle:function(t){if(g(t.target).is(this))return t.handleObj.handler.apply(this,arguments)}};var r="alert",a=...

  ) {
    setUp(protocol, mockWebServer)
    client =
      client.newBuilder()
        .cache(cache)
        .build()
    server.enqueue(
      MockResponse(
        headers = headersOf("ETag", "v1"),
        body = "A",
      ),
    )
    server.enqueue(
      MockResponse(code = HttpURLConnection.HTTP_NOT_MODIFIED),
    )
    val call1 = client.newCall(Request(server.url("/")))

with the precision of that type argument. For example, given the function:
</p>

<pre>
func dotProduct[F ~float32|~float64](v1, v2 []F) F {
	var s F
	for i, x := range v1 {
		y := v2[i]
		s += x * y
	}
	return s
}
</pre>

<p>
the product <code>x * y</code> and the addition <code>s += x * y</code>

                **Example**

                ```python
                from fastapi import FastAPI

                app = FastAPI(openapi_url="/api/v1/openapi.json")
                ```
                """
            ),
        ] = "/openapi.json",
        openapi_tags: Annotated[
            Optional[List[Dict[str, Any]]],
            Doc(

### Pydantic v1

**This version of FastAPI still supports Pydantic v1**. And although Pydantic v1 will be deprecated at some point, it will still be supported for a while.

This means that you can install the new Pydantic v2, and if something fails, you can install Pydantic v1 while you fix any problems you might have, but having the latest FastAPI.