org.apache.maven.plugin.AbstractMojo; /** * Does nothing. * * @goal it * @requiresDependencyRe compile * * @author Benjamin Bentmann */ public class ItMojo extends AbstractMojo { public void execute() { } } META-INF/maven/org.apache.maven.its.plugins/maven-it-plugin/pom.xml 4.0.0 org.apache.maven.its.plugins maven-it-plugin 0.1 maven-plugin Maven Integration Test Plugin A test plugin to assist testing of Maven core. 2009 maven-core-it file:///${basedir}/repo true true org.apache.maven maven-plugin-api...

It used custom types in its declarations instead of standard Python types, but it was still a huge step forward.

It also was one of the first frameworks to generate a custom schema declaring the whole API in JSON.

It was not based on a standard like OpenAPI and JSON Schema. So it wouldn't be straightforward to integrate it with other tools, like Swagger UI. But again, it was a very innovative idea.

                        }
                    }
                    fir.getter?.let { getter ->
                        methods.singleOrNull { it.returnType != PsiType.VOID }?.let {
                            bindings.put(METHOD_FOR_FIR_FUNCTION, getter, Method(it.name, getAsmMethodSignatureWithCorrection(it)))
                        }
                    }

                        os to (testProject to performanceTestDuration)
                    }
            }
        }
        return pairs.groupBy({ it.first }, { it.second })
            .mapValues { entry -> entry.value.groupBy({ it.first }, { it.second }) }
    }

    private
    fun readPerformanceTestConfigurations(performanceTestsCiJson: File): List<PerformanceTestConfiguration> {

In the case of our dependency `get_settings()`, the function doesn't even take any arguments, so it always returns the same value.

That way, it behaves almost as if it was just a global variable. But as it uses a dependency function, then we can override it easily for testing.

    Iterator<Integer> it = mmHeap.iterator();
    assertEquals((Integer) 1, it.next());
    assertEquals((Integer) 20, it.next());
    assertEquals((Integer) 100, it.next());
    assertEquals((Integer) 2, it.next());
    it.remove();
    assertFalse(mmHeap.contains(2));
    assertTrue(it.hasNext());
    assertEquals((Integer) 3, it.next());
    assertTrue(it.hasNext());

But all this functionality of using asynchronous code with `async` and `await` is many times summarized as using "coroutines". It is comparable to the main key feature of Go, the "Goroutines".

## Conclusion

    You could have custom internal logic to separate it by colon caracters (`:`) or
    similar, and get the two parts `items` and `read`. Many applications do that to
    group and organize permissions, you could do it as well in your application, just
    know that that it is application specific, it's not part of the specification.


    grant_type: the OAuth2 spec says it is required and MUST be the fixed string "password".

```Python
id = data["id"]
```

it will also try to get it from an attribute, as in:

```Python
id = data.id
```

And with this, the Pydantic *model* is compatible with ORMs, and you can just declare it in the `response_model` argument in your *path operations*.

You will be able to return a database model and it will read the data from it.

#### Technical Details about ORM mode

        val capturedSymbols = capturedData.symbols
        val capturedValues = capturedSymbols.map { it.value }
        val injectedSymbols = capturedSymbols.map {
            InjectedValue(it.symbol, it.contextReceiverNumber, it.typeRef, it.value.isMutated)
        }

        codeFragment.conversionData = CodeFragmentConversionData(