"line_1": {"title": "Line 1", "type": "string"},
                            "state_province": {
                                "title": "State Province",
                                "type": "string",
                            },
                        },
                        "required": ["line_1", "city", "state_province"],
                        "title": "Address",

        assertTrue("Should have line4", thread.contains("line4"));
        assertTrue("Should have line5", thread.contains("line5"));
    }

    @Test
    public void test_emptyInputStream() throws IOException, InterruptedException {
        Process mockProcess = createMockProcess("");
        JobProcess jobProcess = new JobProcess(mockProcess);

        InputStreamThread thread = jobProcess.getInputStreamThread();

    Extract lines that contain code includes.

    Return list of CodeIncludeInfo, where each dict contains:
    - `line_no` - line number (1-based)
    - `line` - text of the line
    """

    includes: list[CodeIncludeInfo] = []
    for line_no, line in enumerate(lines, start=1):
        if CODE_INCLUDE_RE.match(line):
            includes.append(CodeIncludeInfo(line_no=line_no, line=line))
    return includes

/// info | Información

El punto importante es que tu app podrá producir cada línea a su turno, mientras el cliente consume las líneas anteriores.

///

/// note | Detalles técnicos

        thread.join(1000);

        assertEquals("All lines should be processed", 5000, receivedLines.size());
        assertEquals("First line", "Line number 0", receivedLines.get(0));
        assertEquals("Last line", "Line number 4999", receivedLines.get(4999));
    }

    @Test
    public void test_run_concurrentAccess() throws InterruptedException {
        String input = "concurrent1\nconcurrent2\nconcurrent3";

/// tip

비디오나 오디오처럼 바이너리 데이터를 스트리밍하려면 고급 가이드를 확인하세요: [스트림 데이터](../advanced/stream-data.md).

///

## FastAPI로 JSON Lines 스트리밍 { #stream-json-lines-with-fastapi }

FastAPI에서 JSON Lines를 스트리밍하려면, *경로 처리 함수*에서 `return`을 사용하는 대신 `yield`로 각 항목을 차례로 생성하면 됩니다.

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}

        String[] inputs = { "input" };
        CharMappingItem item = new CharMappingItem(1L, inputs, "output");

        // Test newline replacement in setNewOutput
        item.setNewOutput("line1\nline2\nline3");
        assertEquals("line1 line2 line3", item.getNewOutput());
    }

    @Test
    public void test_setNewOutput_withNull() {
        String[] inputs = { "input" };

			// Valid no update message case. No further
			// validation needed.
			continue
		case !strings.Contains(output, line1):
			t.Errorf("Testcase %d: output '%s' did not contain line 1: '%s'", i+1, output, line1)
		case !strings.Contains(output, line2):
			t.Errorf("Testcase %d: output '%s' did not contain line 2: '%s'", i+1, output, line2)
		}
	}

# Stream de JSON Lines { #stream-json-lines }

Você pode ter uma sequência de dados que deseja enviar em um "**Stream**"; é possível fazer isso com **JSON Lines**.

/// info | Informação

Adicionado no FastAPI 0.134.0.

///

## O que é um Stream? { #what-is-a-stream }

"**Streaming**" de dados significa que sua aplicação começará a enviar itens ao cliente sem esperar que toda a sequência esteja pronta.

# JSON Lines streamen { #stream-json-lines }

Sie könnten eine Folge von Daten haben, die Sie in einem „Stream“ senden möchten, das können Sie mit **JSON Lines** tun.

/// info | Info

Hinzugefügt in FastAPI 0.134.0.

///

## Was ist ein Stream? { #what-is-a-stream }

„Streaming“ von Daten bedeutet, dass Ihre App damit beginnt, Datenelemente an den Client zu senden, ohne darauf zu warten, dass die gesamte Folge von Elementen fertig ist.