```

    For a single component e.g. softmax op:

    ```bash
    bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test
    ```

    For a single/parameterized test e.g. `test_capture_variables` in
    `tensorflow/python/saved_model/load_test.py`:

    (Requires `python>=3.7`)

    ```bash

      }
    },

    /**
     * Disables cycle detection. This option causes the factory to return unmodified lock
     * implementations provided by the JDK, and is provided to allow applications to easily
     * parameterize when cycle detection is enabled.
     *
     * <p>Note that locks created by a factory with this policy will not participate the
     * cycle detection performed by locks created by other factories.
     */

   *
   * So we use uncheckedCastNullableTToT here. This is a weird usage of that method: The method is
   * documented as being for use with type parameters that have parametric nullness. But Converter's
   * type parameters do not. Still, we use it here so that we can suppress a warning at a smaller
   * level than the whole method but without performing a runtime null check. That way, we can still

      }
    },

    /**
     * Disables cycle detection. This option causes the factory to return unmodified lock
     * implementations provided by the JDK, and is provided to allow applications to easily
     * parameterize when cycle detection is enabled.
     *
     * <p>Note that locks created by a factory with this policy will not participate the
     * cycle detection performed by locks created by other factories.
     */

  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.
// TODO(ashankar): Use gmock matchers instead?
// (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly)
// That will require setting up the tensorflow build with gmock.
#define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \
                       expected_total_size)                          \

        <field>
          <name>stringFiltering</name>
          <version>4.1.0+</version>
          <description>
            <![CDATA[
            Whether resources are filtered to replace tokens with parameterized values.
            The values are taken from the {@code properties} element and from the properties
            in the files listed in the {@code filters} element.

* Cloud Controller Manager now sets Node.Spec.ProviderID ([#50730](https://github.com/kubernetes/kubernetes/pull/50730), [@andrewsykim](https://github.com/andrewsykim))
* Parameterize session affinity timeout seconds in service API for Client IP based session affinity. ([#49850](https://github.com/kubernetes/kubernetes/pull/49850), [@m1093782566](https://github.com/m1093782566))

* Cloud Controller Manager now sets Node.Spec.ProviderID ([#50730](https://github.com/kubernetes/kubernetes/pull/50730), [@andrewsykim](https://github.com/andrewsykim))
* Parameterize session affinity timeout seconds in service API for Client IP based session affinity. ([#49850](https://github.com/kubernetes/kubernetes/pull/49850), [@m1093782566](https://github.com/m1093782566))

* Add RequestedToCapacityRatioPriority priority function. Function is parametrized with set of points mapping node utilization (0-100) to score (0-10). ([#63929](https://github.com/kubernetes/kubernetes/pull/63929), [@losipiuk](https://github.com/losipiuk))

    *   Infer `tf.contrib.distributions.RelaxedOneHotCategorical` `dtype` from
        arguments.
    *   Make `tf.contrib.distributions` quadrature family parameterized by
        `quadrature_grid_and_prob` vs `quadrature_degree`.
    *   `auto_correlation` added to `tf.contrib.distributions`
    *   Add `tf.contrib.bayesflow.layers`, a collection of probabilistic