{
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["body", "foo", "[key]"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

   * (NCR). Any non-ASCII characters appearing in the input will be preserved in the output.
   * Specifically "\r" (carriage return) is preserved in the output, which may result in it being
   * silently converted to "\n" when the XML is parsed.
   *
   * <p>This escaper does not treat surrogate pairs specially and does not perform Unicode
   * validation on its input.
   */
  public static Escaper xmlContentEscaper() {

		case "passive-port-range":
			portRange = tokens[1]
		case "tls-private-key":
			tlsPrivateKey = tokens[1]
		case "tls-public-cert":
			tlsPublicCert = tokens[1]
		}
	}

	// Verify if only partial inputs are given for FTP(secure)
	{
		if tlsPrivateKey == "" && tlsPublicCert != "" {

                                                        data-href="${contextPath}/admin/dict/mapping/details/${f:u(dictId)}/4/${f:u(data.id)}">
                                                    <td>${f:h(data.inputs)}</td>
                                                    <td>${f:h(data.output)}</td>
                                                </tr>
                                            </c:forEach>

   * specified supplier, whose cells are generated by applying the provided mapping functions to the
   * input elements. Cells are inserted into the generated {@code Table} in encounter order.
   *
   * <p>If multiple input elements map to the same row and column, an {@code IllegalStateException}
   * is thrown when the collection operation is performed.
   *

        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

    var delta = 0
    var bias = INITIAL_BIAS
    var h = b
    while (h < input.size) {
      val m = input.minBy { if (it >= n) it else Int.MAX_VALUE }

      val increment = (m - n) * (h + 1)
      if (delta > Int.MAX_VALUE - increment) return false // Prevent overflow.
      delta += increment

      n = m

      for (c in input) {
        if (c < n) {

    assertFailsToDecode(base64(), "12345", "Invalid input length 5");
    // These have a combination of invalid length, unrecognized characters and wrong padding.
    assertFailsToDecode(base64(), "AB=C", "Unrecognized character: =");
    assertFailsToDecode(base64(), "A=BCD", "Invalid input length 5");
    assertFailsToDecode(base64(), "?", "Invalid input length 1");
  }

  public void testBase64CannotUpperCase() {

Add the following optimal entries for `hive-site.xml` to configure Hive with **MinIO**.

```
hive.blobstore.use.blobstore.as.scratchdir=true
hive.exec.input.listing.max.threads=50
hive.load.dynamic.partitions.thread=25
hive.metastore.fshandler.threads=50
hive.mv.files.threads=40
mapreduce.input.fileinputformat.list-status.num-threads=50
```