t.Fatalf("failed to query data, got error %v", err)
	}
	AssertEqual(t, result, out)

	// update record
	data.Roles = append(data.Roles, "r3")
	data.JobInfo.Location = "Gates Hillman Complex"
	if err := DB.Assign(data).FirstOrCreate(&out).Error; err != nil {
		t.Fatalf("failed to FirstOrCreate Assigned data, got error %v", err)
	}
	if err := DB.First(&result, out.ID).Error; err != nil {

do exactly this.
</p>

<p>
A read of an array, struct, or complex number
may be implemented as a read of each individual sub-value
(array element, struct field, or real/imaginary component),
in any order.
Similarly, a write of an array, struct, or complex number
may be implemented as a write of each individual sub-value,
in any order.
</p>

<p>

        String result = queue.toString();
        assertNotNull(result);
        assertTrue(result.contains("UrlQueueImpl"));
    }

    public void test_complexScenario() {
        // Test complex scenario with all fields
        UrlQueueImpl<Long> queue = new UrlQueueImpl<>();

        Long id = 999L;
        String sessionId = "crawl-session-123";
        String method = "POST";

    // TLD with only 1 (wildcard) rule.
    checkPublicSuffix("mm", null)
    checkPublicSuffix("c.mm", null)
    checkPublicSuffix("b.c.mm", "b.c.mm")
    checkPublicSuffix("a.b.c.mm", "b.c.mm")
    // More complex TLD.
    checkPublicSuffix("jp", null)
    checkPublicSuffix("test.jp", "test.jp")
    checkPublicSuffix("www.test.jp", "test.jp")
    checkPublicSuffix("ac.jp", null)
    checkPublicSuffix("test.ac.jp", "test.ac.jp")

    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long, handled by black
    "B008",  # do not perform function calls in argument defaults
    "C901",  # too complex
    "W191",  # indentation contains tabs
]

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]
"docs_src/dependencies/tutorial007_py39.py" = ["F821"]

> What’s the history of this project? It seems to have come from nowhere to awesome in a few weeks [...]

Here's a little bit of that history.

## Alternatives { #alternatives }

I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.

As part of that, I needed to investigate, test and use many alternatives.

            }

            orchestrator.executeStrategies(context, pomMap);

            // Verify strategies were called (order verification would require more complex mocking)
            for (UpgradeStrategy strategy : mockStrategies) {
                verify(strategy).apply(Mockito.eq(context), Mockito.any());
            }
        }
    }

    @Nested

* Data conversion
* Data validation
* Automatic documentation

## Special types and validation { #special-types-and-validation }

Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.

                protected SmbResource adapt(FileEntry e) {
                    return resource;
                }
            };
        });
    }

    @Test
    @DisplayName("Complex scenario with multiple filter conditions")
    void complexFilterScenario() throws Exception {
        // Setup: three entries with different filter results
        FileEntry entry1 = mock(FileEntry.class);

But before that, handling asynchronous code was quite more complex and difficult.

In previous versions of Python, you could have used threads or <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>. But the code is way more complex to understand, debug, and think about.