*/
    private String sanitizeForLog(String str) {
        if (str == null) {
            return "null";
        }

        // Truncate long strings
        if (str.length() > 100) {
            str = str.substring(0, 100) + "...";
        }

        // Remove control characters
        return str.replaceAll("[\\x00-\\x1F\\x7F]", "?");
    }

    /**

    // Or, more simply, check the format of the string.
    @Test
    void testToStringFormat() {
        String str = response.toString();
        assert (str.startsWith("TransTransactNamedPipeResponse["));
        assert (str.endsWith("]"));
    }
}

// We need to add a helper method to TransTransactNamedPipeResponse to make the test more precise

У цьому прикладі вона конвертує Pydantic model у `dict`, а `datetime` у `str`.

Результат виклику цієї функції - це щось, що можна кодувати з використанням стандарту Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

        PacDataInputStream pdis = createInputStream(data);
        PacUnicodeString str = pdis.readUnicodeString();
        assertEquals(4, str.getLength());
        assertEquals(4, str.getMaxLength());
        assertEquals(0x1234, str.getPointer());
    }

    @Test
    public void testReadUnicodeStringMalformed() throws IOException {
        // length > maxLength

    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.8+ sin Anotaciones

/// tip | Consejo

Prefiere usar la versión `Annotated` si es posible.

///

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):