import java.util.Collection;
import java.util.Collections;
import java.util.List;
import org.junit.Ignore;

/**
 * A generic JUnit test which tests {@code retainAll} operations on a collection. Can't be invoked
 * directly; please see {@link com.google.common.collect.testing.CollectionTestSuiteBuilder}.
 *
 * @author Chris Povirk
 */
@GwtCompatible

///

## Embed a single body parameter

Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:

```Python

cases section below.

To access a struct, union, or enum type directly, prefix it with
struct_, union_, or enum_, as in C.struct_stat. The size of any C type
T is available as C.sizeof_T, as in C.sizeof_struct_stat. These
special prefixes means that there is no way to directly reference a C
identifier that starts with "struct_", "union_", "enum_", or

### Container Images

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

a plugin, so following best practices is relatively straightforward.  For core plugins in gradle/gradle, it's easy for an object to be created without applying its associated plugin. For instance, Spring has a plugin that uses the Checkstyle task directly without applying the Checkstyle plugin.

Until we can provide the same guarantees for core plugins, we need to be more conservative for existing classes and not follow best practices. This means conventions need to be set in both a plugin...

may exist in your changes.

#### Running unit tests

There are two ways to run TensorFlow unit tests.

1.  Using tools and libraries installed directly on your system.

    Refer to the
    [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile)
    and

      throw ProtocolException("Control frame must be less than ${PAYLOAD_BYTE_MAX}B.")
    }

    if (isMasked) {
      // Read the masking key as bytes so that they can be used directly for unmasking.
      source.readFully(maskKey!!)
    }
  }

  @Throws(IOException::class)
  private fun readControlFrame() {
    if (frameLength > 0L) {

  static final int DEFAULT_SIZE = 3;

  // used to indicate blank table entries
  static final int UNSET = -1;

  /*
   * The array fields below are not initialized directly in the constructor, but they're initialized
   * by init(), which the constructor calls.
   */

  /** The keys of the entries in the map. */
  transient @Nullable Object[] keys;

multiprecision library gmp's integer type mpz_t wrapped to look like
the Go package big's integer type Int.

This is a syntactically valid Go program—it can be parsed with the Go
parser and processed by godoc—but it is not compiled directly by gc.
Instead, a separate tool, cgo, processes it to produce three output
files.  The first two, 6g.go and 6c.c, are a Go source file for 6g and
a C source file for 6c; both compile as part of the named package

						}
					case "Birthday":
						if _, ok := first[dbName].(*time.Time); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					}

					reflectValue := reflect.Indirect(reflect.ValueOf(users[0]))
					AssertEqual(t, first[dbName], reflectValue.FieldByName(name).Interface())
				})
			}
		}
	})

	t.Run("FirstMapWithTable", func(t *testing.T) {
		first := map[string]interface{}{}