// Limited priority levels in proportion to their NCS values:
  //
  // NominalCL(i)  = ceil( ServerCL * NCS(i) / sum_ncs )
  // sum_ncs = sum[limited priority level k] NCS(k)
  //
  // Bigger numbers mean a larger nominal concurrency limit,
  // at the expense of every other Limited priority level.
  // This field has a default value of 30.
  // +optional
  optional int32 nominalConcurrencyShares = 1;

<img src="/img/tutorial/security/image01.png">

!!! check "Authorize button!"
    You already have a shiny new "Authorize" button.

    And your *path operation* has a little lock in the top-right corner that you can click.

And if you click it, you have a little authorization form to type a `username` and `password` (and other optional fields):

<img src="/img/tutorial/security/image02.png">

!!! note

pkg debug/elf, const SHT_MIPS_ABIFLAGS SectionType
pkg encoding/csv, method (*Reader) FieldPos(int) (int, int)
pkg go/build, type Context struct, ToolTags []string
pkg go/parser, const SkipObjectResolution = 64
pkg go/parser, const SkipObjectResolution Mode
pkg image, method (*Alpha) RGBA64At(int, int) color.RGBA64
pkg image, method (*Alpha) SetRGBA64(int, int, color.RGBA64)

2. The id_token self-contains the authorization information in a manner that can be verified. For example, by encoding authorization information along with a signature into the token.

 *
 * This class contains a Kotlin implementation of the pseudocode specified by RFC 3492. It includes
 * direct translation of the pseudocode presented there.
 *
 * Partner this class with [UTS #46] to implement IDNA2008 [RFC 5890] like most browsers do.
 *
 * [RFC 3492]: https://datatracker.ietf.org/doc/html/rfc3492
 * [RFC 5890]: https://datatracker.ietf.org/doc/html/rfc5890

_test_gpu$
_test_gpu.py$
_test_lib$
//tensorflow/cc/saved_model:saved_model_test_files
//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer

_test_gpu$
_test_gpu.py$
_test_lib$
//tensorflow/cc/saved_model:saved_model_test_files
//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/lib/lmdb:lmdb_testdata
//tensorflow/core/lib/lmdb/testdata:lmdb_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps

  // pair) is hashed and the hash value is used to shuffle the list
  // of queues and deal a hand of the size specified here.  The
  // request is put into one of the shortest queues in that hand.
  // `handSize` must be no larger than `queues`, and should be
  // significantly smaller (so that a few heavy flows do not
  // saturate most of the queues).  See the user-facing
  // documentation for more extensive guidance on setting this

  // pair) is hashed and the hash value is used to shuffle the list
  // of queues and deal a hand of the size specified here.  The
  // request is put into one of the shortest queues in that hand.
  // `handSize` must be no larger than `queues`, and should be
  // significantly smaller (so that a few heavy flows do not
  // saturate most of the queues).  See the user-facing
  // documentation for more extensive guidance on setting this

    assertThat(CertificateAdapters.extension.toDer(extension))
      .isEqualTo(bytes)
    assertThat(CertificateAdapters.extension.fromDer(bytes))
      .isEqualTo(extension)
  }

  /** Tags larger than 30 are a special case. */
  @Test fun `large tag`() {
    val bytes = "df83fb6800".decodeHex()

    val adapter = Adapters.NULL.withTag(tagClass = DerHeader.TAG_CLASS_PRIVATE, tag = 65_000L)