func (S) StructValueMethod()
func (ignored S) StructValueMethodNamedRecv()

func (s *S2) unexported(x int8, y int16, z int64) {}

func Bar(x int8, y int16, z int64)                  {}
func Bar1(x int8, y int16, z int64) uint64          {}
func Bar2(x int8, y int16, z int64) (uint8, uint64) {}
func BarE() Error                                   {}

func unexported(x int8, y int16, z int64) {}

func TakesFunc(f func(dontWantName int) int)

   *
   * <p>For example:
   *
   * <pre>{@code
   * Streams.zip(
   *   Stream.of("foo1", "foo2", "foo3"),
   *   Stream.of("bar1", "bar2"),
   *   (arg1, arg2) -> arg1 + ":" + arg2)
   * }</pre>
   *
   * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
   *
   * <p>The resulting stream will only be as long as the shorter of the two input streams; if one

pkg p1, const FloatConst = 1.5  // 3/2
pkg p1, const FloatConst ideal-float
pkg p1, const StrConst = "foo"
pkg p1, const StrConst ideal-string
pkg p1, func Bar(int8, int16, int64)
pkg p1, func Bar1(int8, int16, int64) uint64
pkg p1, func Bar2(int8, int16, int64) (uint8, uint64)
pkg p1, func BarE() Error
pkg p1, func Now() Time
pkg p1, func PlainFunc(int, int, string) (*B, error)
pkg p1, func TakesFunc(func(int) int)
pkg p1, method (*B) JustOnB()

	fmt.Printf("Fields are: %q", bytes.Fields([]byte("  foo bar  baz   ")))
	// Output: Fields are: ["foo" "bar" "baz"]
}

func ExampleFieldsFunc() {
	f := func(c rune) bool {
		return !unicode.IsLetter(c) && !unicode.IsNumber(c)
	}
	fmt.Printf("Fields are: %q", bytes.FieldsFunc([]byte("  foo1;bar2,baz3..."), f))
	// Output: Fields are: ["foo1" "bar2" "baz3"]
}

func ExampleHasPrefix() {

    Random r = new Random();
    ba1 = new byte[length];
    r.nextBytes(ba1);
    ba2 = Arrays.copyOf(ba1, ba1.length);
    // Differ at the last element
    ba3 = Arrays.copyOf(ba1, ba1.length);
    ba4 = Arrays.copyOf(ba1, ba1.length);
    ba3[ba1.length - 1] = (byte) 43;
    ba4[ba1.length - 1] = (byte) 42;

    javaImpl = UnsignedBytes.lexicographicalComparatorJavaImpl();

        "tax": 10.5,
        "tags": [],
    }


@needs_py39
def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_py39
@needs_pydanticv2

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A class that implements {@code Comparable} without generics, such as those found in libraries
 * that support Java 1.4 and before. Our library needs to do the bare minimum to accommodate such
 * types, though their use may still require an explicit type parameter and/or warning suppression.
 *
 * @author Kevin Bourrillion
 */

    required: true

-   type: textarea id: code-to-reproduce attributes: label: Standalone code to
    reproduce the issue description: Provide a reproducible test case that is
    the bare minimum necessary to generate the problem. If possible, please
    share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you
    see! value: render: shell validations: required: true

        "price": 50.2,
        "tax": 10.5,
        "tags": [],
    }


def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_pydanticv2

        "tax": 10.5,
        "tags": [],
    }


@needs_py310
def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_py310
@needs_pydanticv2