}
    reader.close();
    writer.close();

    assertExpectedString(writer.toString());
  }

  public void testLines() throws IOException {
    try (Stream<String> lines = source.lines()) {
      assertExpectedLines(lines.collect(toImmutableList()));
    }
  }

  public void testCopyTo_appendable() throws IOException {
    StringBuilder builder = new StringBuilder();

        "utf-8"
    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (
        "Code block (lines 16-19) has different language than the original block ('yaml' vs 'toml')"
    ) in result.output


@pytest.mark.parametrize(
    "copy_test_files",

	Operand  *Operand `parser:"  @@"`
}

// Like represents the RHS of a LIKE expression
type Like struct {
	Not        bool     `parser:" @\"NOT\"? "`
	Pattern    *Operand `parser:" \"LIKE\" @@ "`
	EscapeChar *Operand `parser:" (\"ESCAPE\" @@)? "`
}

// Between represents the RHS of a BETWEEN expression
type Between struct {

        /** Buffered reader for input stream. */
        private BufferedReader br;

        /** List to store captured output lines. */
        private final List<String> list = new LinkedList<>();

        /** Maximum number of lines to buffer. */
        private final int maxLineBuffer;

        /**
         * Constructor for InputStreamThread.

            // Verify content structure
            boolean hasThreadLine = lines.stream().anyMatch(line -> line.startsWith("Thread:"));
            boolean hasStackTraceLine = lines.stream().anyMatch(line -> line.startsWith("\tat "));

            assertTrue("Should contain thread information", hasThreadLine);
            assertTrue("Should contain stack trace information", hasStackTraceLine);

	cases := []string{
		`select * from s3object where Name like 'abcd'`,
		`select Name like 'abc' from s3object`,
		`select * from s3object where Name not like 'abc'`,
		`select * from s3object where Name like 'abc' escape 't'`,
		`select * from s3object where Name like 'a\%' escape '?'`,
		`select * from s3object where Name not like 'abc\' escape '?'`,
		`select * from s3object where Name like 'a\%' escape LOWER('?')`,

///

## Multiple body parameters { #multiple-body-parameters }

In the previous example, the *path operations* would expect a JSON body with the attributes of an `Item`, like:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

But you can also declare multiple body parameters, e.g. `item` and `user`:

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

* Ви можете отримати метадані про завантажений файл.
* Він має [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) `async` інтерфейс.
* Він надає фактичний об'єкт Python [`SpooledTemporaryFile`](https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile), який можна передавати безпосередньо іншим бібліотекам, що очікують file-like об'єкт.

### `UploadFile` { #uploadfile }

`UploadFile` має такі атрибути:

	}

	if name != "groupby" || total != 60 {
		t.Errorf("name should be groupby, but got %v, total should be 60, but got %v", name, total)
	}

	if err := DB.Model(&User{}).Select("name, sum(age) as total").Where("name LIKE ?", "groupby%").Group("name").Having("name = ?", "groupby1").Row().Scan(&name, &total); err != nil {
		t.Errorf("no error should happen, but got %v", err)
	}

	if name != "groupby1" || total != 660 {