```

Let's take for example a set of 12 compute nodes with an aggregate memory of _1.2TiB_, we need to do following settings for optimal results. Add the following optimal entries for _core-site.xml_ to configure _s3a_ with **MinIO**. Most important options here are

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "mapred"

mapred.maxthreads.generate.mapoutput=2 # Num threads to write map outputs

# Settings and Environment Variables

In many cases your application could need some external settings or configurations, for example secret keys, database credentials, credentials for email services, etc.

Most of these settings are variable (can change), like database URLs. And many could be sensitive, like secrets.

For this reason it's common to provide them in environment variables that are read by the application.

/// tip

   * occur after a call is canceled. Typically cancellation takes effect when an expensive I/O
   * operation is required.
   *
   * This is invoked at most once, even if [Call.cancel] is invoked multiple times. It may be
   * invoked at any point in a call's life, including before [callStart] and after [callEnd].
   */
  open fun canceled(call: Call) {
  }

  /**

 * java.lang.reflect.AccessibleObject AccessibleObject} and {@link
 * java.lang.reflect.GenericDeclaration GenericDeclaration}. Since version 31.0 that is no longer
 * the case. However, most methods from those types are present with the same signature in this
 * class.
 *
 * @param <T> the type that owns this method or constructor.

  # ROCm / CUDA are mutually exclusive.
  # At most 1 GPU platform can be configured.
  gpu_platform_count = 0
  if environ_cp.get('TF_NEED_ROCM') == '1':
    gpu_platform_count += 1
  if environ_cp.get('TF_NEED_CUDA') == '1':
    gpu_platform_count += 1
  if gpu_platform_count >= 2:
    raise UserInputError('CUDA / ROCm are mututally exclusive. '
                         'At most 1 GPU platform can be configured.')

#include "tensorflow/c/tf_tstring.h"

// --------------------------------------------------------------------------
// C API for TensorFlow.
//
// The API leans towards simplicity and uniformity instead of convenience
// since most usage will be by language specific wrappers.
//
// Conventions:
// * We use the prefix TF_ for everything in the API.
// * Objects are always passed around as pointers to opaque structs

 * DFS referrals. (E.g. a resource with a DFS root's parent will still point to the DFS root not the share it's actually
 * located in).
 * - share + uncpath within it: This is the relevant information for most SMB requests. Both are adjusted by DFS
 * referrals. Nested resources will inherit the information already resolved by the parent resource.
 * 
 * Invariant:

                file = findArtifact(project.getExecutionProject(), artifact, true);
            }
            return file;
        }

        // No project, but most certainly a dependency which has been built previously
        File packagedArtifactFile = findInProjectLocalRepository(artifact);
        if (packagedArtifactFile != null && packagedArtifactFile.exists()) {

}

// HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
message HorizontalPodAutoscalerStatus {
  // observedGeneration is the most recent generation observed by this autoscaler.
  // +optional
  optional int64 observedGeneration = 1;

  // lastScaleTime is the last time the HorizontalPodAutoscaler scaled the number of pods,

   * package, that explicitly implements {@link Object#equals}. For a class {@code C}:
   *
   * <ul>
   *   <li>The visible constructor or visible static factory method with the most parameters is used
   *       to construct the sample instances. In case of tie, the candidate constructors or
   *       factories are tried one after another until one can be used to construct sample
   *       instances.