### There are no limits on how many server pools can be combined

```
minio server http://host{1...32}/export{1...32} http://host{1...12}/export{1...12}
```

In above example there are two server pools

- 32 * 32 = 1024 drives pool1
- 12 * 12 = 144 drives pool2

message PodSchedulingContext {
  // Standard object metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Spec describes where resources for the Pod are needed.
  optional PodSchedulingContextSpec spec = 2;

  // Status describes where resources for the Pod can be allocated.
  // +optional
  optional PodSchedulingContextStatus status = 3;
}

    protected void doStop() {
      notifyFailed(new IllegalStateException("stop failure"));
    }
  }

  public void testServiceStartupTimes() {
    if (isWindows() && isJava8()) {
      // Flaky there: https://github.com/google/guava/pull/6731#issuecomment-1736298607
      return;
    }
    Service a = new NoOpDelayedService(150);
    Service b = new NoOpDelayedService(353);

TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();
TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled(
    unsigned char should_enable);

// Create a serialized tensorflow.ConfigProto proto, where:
//
// a) ConfigProto.optimizer_options.global_jit_level is set to ON_1 if
// `enable_xla_compilation` is non-zero, and OFF otherwise.
// b) ConfigProto.gpu_options.allow_growth is set to `gpu_memory_allow_growth`.

   * needed.
   *
   * A single spinlock ("busy") is used for initializing and
   * resizing the table, as well as populating slots with new Cells.
   * There is no need for a blocking lock; when the lock is not
   * available, threads try other slots (or the base).  During these
   * retries, there is increased contention and reduced locality,
   * which is still better than alternatives.
   *
   * Per-thread hash codes are initialized to random values.

* Check if there's a <a href="https://github.com/tiangolo/fastapi/discussions/categories/translations" class="external-link" target="_blank">GitHub Discussion</a> to coordinate translations for your language. You can subscribe to it, and when there's a new pull request to review, an automatic comment will be added to the discussion.

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:wheel
to a banned CUDA dependency when '--define framework_shared_object=false' is set.
This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out

   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This

    for (; t != null; t = t.getCause()) {
      boolean firstTimeSeen = seen.add(t);
      if (!firstTimeSeen) {
        /*
         * We've seen this, so we've seen its causes, too. No need to re-add them. (There's one case
         * where this isn't true, but we ignore it: If we record an exception, then someone calls
         * initCause() on it, and then we examine it again, we'll conclude that we've seen the whole

    This PR fixes a security issue where an IAM user based
    on his policy is granted more privileges than restricted
    by the users IAM policy.

    This is due to an issue of prefix based Matcher() function
    which was incorrectly matching prefix based on resource
    prefixes instead of exact match.
```