@app.get("/model-required-list-alias-and-validation-alias")
def read_model_required_list_alias_and_validation_alias(
    p: Annotated[HeaderModelRequiredListAliasAndValidationAlias, Header()],
):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    [
        "/required-list-alias-and-validation-alias",
        "/model-required-list-alias-and-validation-alias",
    ],
)

   
     * If you have above configuration and using _**Windows**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable.
       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -

/*
 * Written by Doug Lea and Martin Buchholz with assistance from
 * members of JCP JSR-166 Expert Group and released to the public
 * domain, as explained at
 * http://creativecommons.org/publicdomain/zero/1.0/
 */

/*
 * Source:
 * http://gee.cs.oswego.edu/cgi-bin/viewcvs.cgi/jsr166/src/test/tck-jsr166e/AtomicDoubleTest.java?revision=1.8
 * (Modified to adapt to guava coding conventions)
 */

package com.google.common.util.concurrent;

        assertEquals("secret", new String(pc.getPassword()));
    }

    @Test
    @DisplayName("handle: empty user/domain edge yields '@' and null password")
    void testHandleWithEmptyUserAndDomainEdge() throws Exception {
        // Default constructor results in empty strings for user and domain, null for password
        JAASAuthenticator auth = new JAASAuthenticator();
        NameCallback nc = new NameCallback("user:");

 * the operation and the desired access bits are compared to the SID
 * and access mask of each ACE. If the SID matches, the allow/deny flags
 * and access mask are considered. If the ACE is a "deny"
 * ACE and <i>any</i> of the desired access bits match bits in the access
 * mask of the ACE, the whole access check fails. If the ACE is an "allow"
 * ACE and <i>all</i> of the bits in the desired access bits match bits in

@app.get("/model-optional-alias-and-validation-alias")
def read_model_optional_alias_and_validation_alias(
    p: Annotated[HeaderModelOptionalAliasAndValidationAlias, Header()],
):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    [
        "/optional-alias-and-validation-alias",
        "/model-optional-alias-and-validation-alias",
    ],
)

* Fix the CPU frequency to avoid Turbo Boost from kicking in and skewing your results. On Linux you can use `cpufreq-set` and the
  `performance` CPU governor.
* Vary the problem input size with `@Param`.
* Use the integrated profilers in JMH to dig deeper if benchmark results to not match your hypotheses:
    * Add `-prof gc` to the options to check whether the garbage collector runs during a microbenchmarks and skews

    set, which is faster and doesn't need a custom response class.

    Read more in the
    [FastAPI docs for Custom Response](https://fastapi.tiangolo.com/advanced/custom-response/#orjson-or-response-model)
    and the
    [FastAPI docs for Response Model](https://fastapi.tiangolo.com/tutorial/response-model/).

    **Note**: `ujson` is not included with FastAPI and must be installed

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Usage: rename_and_verify_wheels.sh
# This script is aware of TFCI_ variables, so it doesn't need any arguments.
# Puts new wheel through auditwheel to rename and verify it, deletes the old
# one, checks the filesize, and then ensures the new wheel is installable.

import java.util.logging.Level;
import java.util.logging.Logger;

/**
 * Dispatches events to listeners, and provides ways for listeners to register themselves.
 *
 * <h2>Avoid EventBus</h2>
 *
 * <p><b>We recommend against using EventBus.</b> It was designed many years ago, and newer
 * libraries offer better ways to decouple components and react to events.
 *