It is a plug-in for many frameworks (and there's a plug-in for Starlette too).

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.

But then, we have again the problem of having a micro-syntax, inside of a Python string (a big YAML).

        if (!(t instanceof RejectedExecutionException) || removed) {
          throw t;
        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when

        "The data was too large to fit into the specified buffer.", "A device attached to the system is not functioning.", "Incorrect function.",
        "The parameter is incorrect.", "Invalid access to memory location.", "The handle is invalid.", "The parameter is incorrect.",

        if (!(t instanceof RejectedExecutionException) || removed) {
          throw t;
        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when

		}
		if !testCase.shouldPass && err == nil {
			t.Errorf("Test %d: expected to fail but passed.", i+1)
		}
	}
}

// Testing dumping request function.
func TestDumpRequest(t *testing.T) {

		if err != nil {
			return err
		}
	}
	return nil
}

// Eval - evaluates the Select statement for the given record. It
// applies only to non-aggregation queries.
// The function returns whether the statement passed the WHERE clause and should be outputted.
func (e *SelectStatement) Eval(input, output Record) (Record, error) {
	ok, err := e.isPassingWhereClause(input)
	if err != nil || !ok {

Don't worry, with the way the code is structured, we'll make sure we use **a single SQLModel *session* per request** later, this is actually what the `check_same_thread` is trying to achieve.

### Create the Tables

We then add a function that uses `SQLModel.metadata.create_all(engine)` to **create the tables** for all the *table models*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

### Create a Session Dependency

import org.codelibs.fess.helper.RelatedContentHelper;
import org.codelibs.fess.helper.RelatedQueryHelper;
import org.codelibs.fess.util.RenderDataUtil;
import org.lastaflute.taglib.function.LaFunctions;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.render.RenderData;
import org.lastaflute.web.util.LaRequestUtil;

	var flag = int64(0)
	if len(operands) == 3 {
		flag = p.evalInteger("TEXT", operands[1])
		next++
	}

	// Issue an error if we see a function defined as ABIInternal
	// without NOSPLIT. In ABIInternal, obj needs to know the function
	// signature in order to construct the morestack path, so this
	// currently isn't supported for asm functions.
	if nameAddr.Sym.ABI() == obj.ABIInternal && flag&obj.NOSPLIT == 0 {

		"Total number of bytes received", "type")
)

// loadAPIRequestsHTTPMetrics - reads S3 HTTP metrics.
//
// This is a `MetricsLoaderFn`.
//
// This includes node level S3 HTTP metrics.
//
// This function currently ignores `opts`.
func loadAPIRequestsHTTPMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	// Collect node level S3 HTTP metrics.
	httpStats := globalHTTPStats.toServerHTTPStats(false)