type: string
                          operator:
                            description: operator represents a key's relationship
                              to a set of values. Valid operators are In, NotIn, Exists
                              and DoesNotExist.
                            type: string
                          values:

 * 80..95 : Offset by a fixed positive offset. The bottom 4 bits of b1 are the top 4 bits of the offset.
 *    119 : Ignored.
 *    120 : Valid.
 *    121 : Disallowed
 *    122 : Mapped inline to the sequence: [b2].
 *    123 : Mapped inline to the sequence: [b2a].
 *    124 : Mapped inline to the sequence: [b2, b3].

```

////

//// tab | Python 3.8+

```Python hl_lines="4  10"
{!> ../../docs_src/body_nested_models/tutorial005.py!}
```

////

The string will be checked to be a valid URL, and documented in JSON Schema / OpenAPI as such.

## Attributes with lists of submodels

You can also use Pydantic models as subtypes of `list`, `set`, etc.:

//// tab | Python 3.10+

    Random random = new Random();
    for (int i = 0; i < 100; i++) {
      byte[] bytes = new byte[64];
      random.nextBytes(bytes);
      String s = new String(bytes, UTF_16LE); // so all random strings are valid
      assertEquals(
          new Sink(4).putUnencodedChars(s).hash(),
          new Sink(4).putBytes(s.getBytes(UTF_16LE)).hash());
      assertEquals(

    // Necessary for ISS's with comparators inconsistent with equals.
    return indexOf(target) >= 0;
  }

  @GwtIncompatible // super.subListUnchecked does not exist; inherited subList is valid if slow
  /*
   * TODO(cpovirk): if we start to override indexOf/lastIndexOf under GWT, we'll want some way to
   * override subList to return an ImmutableSortedAsList for better performance. Right now, I'm not

		inputFile   string
		wantErr     bool
	}{
		{
			name:        "errors if unable to unmarshal bytes",
			inputFile:   "",
			wantConfigs: 0,
			wantErr:     true,
		},
		{
			name:        "loads valid ztunnel config_dump",
			inputFile:   "testdata/dump.json",
			wantConfigs: 27,
			wantErr:     false,
		},
	}
	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			cw := &ConfigWriter{}

	},
	config.KV{
		Key:   ExpirationWorkersWait,
		Value: "0ms", // No wait by default between each expiration attempts.
	},
}

// LookupConfig - lookup config and override with valid environment settings if any.
func LookupConfig(kvs config.KVS) (cfg Config, err error) {
	if err = config.CheckValidKeys(config.BatchSubSys, kvs, DefaultKVS); err != nil {
		return cfg, err
	}

                            chunkInfo[ i ] = new SrvCopychunk(absoff, absoff, csize);
                            ioff += maxChunkSize;
                        }

                        if ( dfd == null || !dfd.isValid() ) {
                            // don't reopen the file for every round if it's not necessary, keep the lock
                            dfd = openCopyTargetFile(dest, src.getAttributes(), !write);
                        }

     * @param file
     * @param openFlags
     * @return
     * @throws SmbException
     */
    synchronized SmbFileHandleImpl ensureOpen () throws CIFSException {
        if ( this.handle == null || !this.handle.isValid() ) {
            // one extra acquire to keep this open till the stream is released
            if ( this.file instanceof SmbNamedPipe ) {
                this.handle = this.file.openUnshared(

  `comp:` etc.  At this stage we check if the PR is valid and meets certain
  quality requirements. For example, we check if the CLA is signed, PR has
  sufficient description, if applicable unit tests are added, if it is a
  reasonable contribution (meaning it is not a single liner cosmetic PR).

**2. Valid?**

-   If the PR passes all the quality checks then we go ahead and assign a
    reviewer.