*       servers {@code alpha}, {@code bravo}, and {@code charlie} and you occasionally need to
   *       take each of the servers offline, {@code consistentHash} will be a poor fit: It provides
   *       no way for you to specify which of the three buckets is disappearing. Thus, if your
   *       buckets change from {@code [alpha, bravo, charlie]} to {@code [bravo, charlie]}, it will

    }
  }

  /**
   * Sets {@code table[index]} to {@code entry}, where {@code table} is actually a {@code byte[]},
   * {@code short[]}, or {@code int[]}. The value of {@code entry} should fit in the size of the
   * assigned array element, when seen as an unsigned value. So if {@code table} is a {@code byte[]}
   * then we should have {@code 0 ≤ entry ≤ 255}, and if {@code table} is a {@code short[]} then we

      }
    }

    if (utf8Length < utf16Length) {
      // Necessary and sufficient condition for overflow because of maximum 3x expansion
      throw new IllegalArgumentException(
          "UTF-8 length does not fit in int: " + (utf8Length + (1L << 32)));
    }
    return utf8Length;
  }

  private static int encodedLengthGeneral(CharSequence sequence, int start) {
    int utf16Length = sequence.length();
    int utf8Length = 0;

		"['ab''c']",
		"['a''b''c']",
		"['abc-x_1##@(*&(#*))/\\']",
	}
	for i, tc := range validCases {
		err := p.ParseString(tc, &k)
		if err != nil {
			t.Fatalf("%d: %v", i, err)
		}
		if string(*k.Lit) == "" {
			t.Fatalf("Incorrect parse %#v", k)
		}
		// repr.Println(k, repr.Indent("  "), repr.OmitEmpty(true))
	}

	invalidCases := []string{
		"['abc'']",
		"['-abc'sc']",
		"[abc']",
		"['ac]",

Par exemple, pour déclarer un paramètre de requête `q` qui peut apparaître plusieurs fois dans une URL, on écrit :

{* ../../docs_src/query_params_str_validations/tutorial011.py hl[9] *}

Ce qui fait qu'avec une URL comme :

```
http://localhost:8000/items/?q=foo&q=bar
```

       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }
    TF_Tensor* dst = TF_TensorFromTensor(src, &status);
    ASSERT_TRUE(status.ok()) << status.message();

    // Convert back to a C++ Tensor and ensure we get expected output.

   * @param arrays zero or more {@code int} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static int[] concat(int[]... arrays) {
    long length = 0;
    for (int[] array : arrays) {
      length += array.length;
    }

// be attached. It is intended for use with TFE_OpGetFlatInput to inspect an
// already-finalized operation.
//
// Note that TFE_OpGetFlatInputCount and TFE_OpGetFlatInput operate on a flat
// sequence of inputs, unlike TFE_OpGetInputLength (for getting the length of a
// particular named input list, which may only be part of the op's inputs).
TF_CAPI_EXPORT extern int TFE_OpGetFlatInputCount(const TFE_Op* op,

  private const val INITIAL_N = 0x80

  /**
   * Returns null if any label is oversized so much that the encoder cannot encode it without
   * integer overflow. This will not return null for labels that fit within the DNS size
   * limits.
   */
  fun encode(string: String): String? {
    var pos = 0
    val limit = string.length
    val result = Buffer()

    while (pos < limit) {

    --hash=sha256:c533091d8a3bbf7460a00cb6c1a71da93bffe148f172c7d03b1c31fbf8aa2a0b \
    --hash=sha256:cf4a99b05376513717ab5d82a0db832c56ccea4fd61a69dbb7bccf2dfb207dbe
    # via -r ci/official/requirements_updater/requirements.in
lit==17.0.6 \
    --hash=sha256:dfa9af9b55fc4509a56be7bf2346f079d7f4a242d583b9f2e0b078fd0abae31b
    # via -r ci/official/requirements_updater/requirements.in
markdown==3.6 \