identifiable sections of that work are not derived from the Program, and
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themselves, then this License, and its terms, do not apply to those
sections when you distribute them as separate works. But when you
distribute the same sections as part of a whole which is a work based on
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   * source code in a way that will compile on both Java and Android. If we include the {@code
   * getAnnotatedBounds()} method, then its return type means it won't compile on Android, while if
   * we don't include the method, then the compiler will complain that an abstract method is
   * unimplemented. So instead we use a dynamic proxy to get an implementation. If the method being

      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the

      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the

submitted. If You institute patent litigation against any entity (including a
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Contribution incorporated within the Work constitutes direct or contributory
patent infringement, then any patent licenses granted to You under this License
for that Work shall terminate as of the date such litigation is filed.

4. Redistribution.

You may reproduce and distribute copies of the Work or Derivative Works thereof

      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the

   * the internal list.
   */
  @JvmStatic
  fun fragmentBuffer(buffer: Buffer): Buffer {
    // Write each byte into a new buffer, then clone it so that the segments are shared.
    // Shared segments cannot be compacted so we'll get a long chain of short segments.
    val result = Buffer()
    while (!buffer.exhausted()) {
      val box = Buffer()

            //            doc.put("click_count", 100);  // Validation Error
            requestBody.put("doc", doc);

            checkPutMethod(requestBody, getItemEndpointSuffix()).then().body("response.status", equalTo(0));
            refresh();
        }

        checkUpdate();
    }

    @Override
    protected List<Map<String, Object>> getItemList(final Map<String, Object> body) {

        </field>
        <field>
          <name>classLoadingStrategy</name>
          <description>The class loading strategy: 'self-first' (the default), 'parent-first' (loads classes from the parent, then from the extension) or 'plugin' (follows the rules from extensions defined as plugins).</description>
          <version>1.1.0+</version>
          <defaultValue>self-first</defaultValue>
          <required>false</required>

       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).