"title": "Location",
                            "type": "array",
                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },
                        },
                        "msg": {"title": "Message", "type": "string"},
                        "type": {"title": "Error Type", "type": "string"},

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo",
      "url": "https://errors.pydantic.dev/2.1/v/int_parsing"
    }
  ]
}
```

because the path parameter `item_id` had a value of `"foo"`, which is not an `int`.

```JSON
{
    "detail": [
        {
            "loc": [
                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

debido a que el parámetro de path `item_id` tenía el valor `"foo"`, que no es un `int`.

    return transformValues(Maps.<String, String>newHashMap(), Functions.<String>identity());
  }

  @Override
  protected Map<String, String> makePopulatedMap() {
    Map<String, Integer> underlying = Maps.newHashMap();
    underlying.put("a", 1);
    underlying.put("b", 2);
    underlying.put("c", 3);
    return transformValues(underlying, Functions.toStringFunction());
  }

import jcifs.pac.PACDecodingException;


@SuppressWarnings ( "javadoc" )
public abstract class KerberosAuthData {

    public static List<KerberosAuthData> parse ( int authType, byte[] token, Map<Integer, KerberosKey> keys ) throws PACDecodingException {

        List<KerberosAuthData> authorizations = new ArrayList<>();

        switch ( authType ) {
        case KerberosConstants.AUTH_DATA_RELEVANT:

                            "title": "Location",
                            "type": "array",
                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },
                        },
                        "msg": {"title": "Message", "type": "string"},
                        "type": {"title": "Error Type", "type": "string"},

            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnPort = cci("port", "port", null, null, Integer.class, "port", null, false, false, false, "Integer", 0,
            0, null, null, false, null, null, null, null, null, false);

    Iterable<Number> onlyPresent = Optional.presentInstances(optionals);
    assertThat(onlyPresent).containsExactly(2);
  }

  private static Optional<Integer> getSomeOptionalInt() {
    return Optional.of(1);
  }

  private static FluentIterable<? extends Number> getSomeNumbers() {
    return FluentIterable.from(ImmutableList.<Number>of());
  }

  /*

                }
            } else if (value instanceof String[]) {
                data.putValues(key, (String[]) value);
            } else if (value instanceof Integer) {
                data.putValue(key, ((Integer) value).toString());
            } else if (value instanceof Address[]) {
                final int size = ((Address[]) value).length;
                final String[] values = new String[size];

@ElementTypesAreNonnullByDefault
public class HashBasedTableColumnTest extends ColumnTests {
  public HashBasedTableColumnTest() {
    super(false, true, true, true, false);
  }

  @Override
  Table<String, Character, Integer> makeTable() {
    return HashBasedTable.create();
  }