Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

# 1. RUN, TEST, OR BUILD BAZEL TARGET(S) WITHIN A TFCI ENVIRONMENT
#    To use:
#       export TFCI=ci/official/envs/env_goes_here
#       export TF_ANY_TARGETS="quoted list of targets, like on the command line"
#       export TF_ANY_MODE="test" or "build" or "run" (default: "test")
#       ./any.sh
#
# 2. RUN ANY OTHER SCRIPT AND ENV WITH NO SIDE EFFECTS (NO UPLOADS)
#    To use:
#       export TFCI=ci/official/envs/env_goes_here

 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 *   <li>hashFunctionEnum: The {@link HashFunction} to use for hashing.
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
@NullUnmarked
public class HashFunctionBenchmark {

  // Use a statically configured random instance for all of the benchmarks
  private static final Random random = new Random(42);

 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 *   <li>hashFunctionEnum: The {@link HashFunction} to use for hashing.
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
@NullUnmarked
public class HashFunctionBenchmark {

  // Use a statically configured random instance for all of the benchmarks
  private static final Random random = new Random(42);

### Target language

Translate to Korean (한국어).

Language code: ko.

### Grammar and tone

- Use polite, instructional Korean (e.g. 합니다/하세요 style).
- Keep the tone consistent with the existing Korean FastAPI docs.
- Do not translate “You” literally as “당신”. Use “여러분” where appropriate, or omit the subject if it sounds more natural in Korean.

### Headings

- Follow existing Korean heading style (short, action-oriented headings like “확인하기”).

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   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
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      "Licensor" shall mean the copyright owner or entity authorized by

/*
 * Copyright 2022 the original author or authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
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 *
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 *
 * Unless required by applicable law or agreed to in writing, software
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