* <ul>
 *   <li>by transforming the value from a successful input step,
 *   <li>by catching the exception from a failed input step, or
 *   <li>by combining the results of several input steps.
 * </ul>
 *
 * Each derivation can capture the next value or any intermediate objects for later closing.
 *
 * <p>A step can be the input to at most one derived step. Once you transform its value, catch its

      InternetDomainName domain = InternetDomainName.from(inputName);

      /*
       * We would ordinarily use constants for the expected results, but
       * doing it by derivation allows us to reuse the test case definitions
       * used in other tests.
       */

      String expectedName = Ascii.toLowerCase(inputName);
      expectedName = expectedName.replaceAll("[\u3002\uFF0E\uFF61]", ".");

      InternetDomainName domain = InternetDomainName.from(inputName);

      /*
       * We would ordinarily use constants for the expected results, but
       * doing it by derivation allows us to reuse the test case definitions
       * used in other tests.
       */

      String expectedName = Ascii.toLowerCase(inputName);
      expectedName = expectedName.replaceAll("[\u3002\uFF0E\uFF61]", ".");

          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or

do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices...

protobuf >= 5.28.0, < 7.0
# Test dependencies
grpcio >= 1.68.1, < 2.0 ; python_version <= "3.13"
grpcio >= 1.78.0 ; python_version == "3.14"
portpicker == 1.6.0
# Scipy 15.x and above have misc.derivative removed, but we still use it
scipy >= 1.13.0, < 1.15.0 ; python_version <= "3.13"
scipy >=1.15.0 ; python_version == "3.14"
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.25.0

# V <= U <= V+1
# More info at https://protobuf.dev/support/cross-version-runtime-guarantee/
protobuf >= 5.28.0, < 7.0
# Test dependencies
grpcio >= 1.68.1, < 2.0
portpicker == 1.6.0
# Scipy 15.x and above have misc.derivative removed, but we still use it
scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.

/**
 * A decoded [mapping table] that can perform the [mapping step] of IDNA processing.
 *
 * This implementation is optimized for readability over efficiency.
 *
 * This implements non-transitional processing by preserving deviation characters.
 *
 * This implementation's STD3 rules are configured to `UseSTD3ASCIIRules=false`. This is
 * permissive and permits the `_` character.
 *

*   Make the Bigtable client connection pool configurable & increase the
    default # of connections for performance.
*   Added derivative of `tf.random_gamma` with respect to the alpha parameter.
*   Added derivative of `tf.igamma(a, x)` and `tf.igammac(a, x)` with respect to
    a.
*   Modified Bessel functions of order zero and one.
*   Add FillTriangular Bijector to create triangular matrices.