* the contents your program gave to the system to be written to disk
* a remote API operation
* a database operation to finish
* a database query to return the results
* etc.

As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, they call them "I/O bound" operations.

  config_info_line('mkl', 'Build with MKL support.')
  config_info_line(
      'mkl_aarch64',
      'Build with oneDNN and Compute Library for the Arm Architecture (ACL).')
  config_info_line('monolithic', 'Config for mostly static monolithic build.')
  config_info_line('numa', 'Build with NUMA support.')
  config_info_line(
      'dynamic_kernels',
      '(Experimental) Build kernels into separate shared objects.')

}

func BenchmarkIndexRuneUnicode(b *testing.B) {
	b.Run("Latin", func(b *testing.B) {
		// Latin is mostly 1, 2, 3 byte runes.
		benchBytes(b, indexSizes, bmIndexRuneUnicode(unicode.Latin, 'é'))
	})
	b.Run("Cyrillic", func(b *testing.B) {
		// Cyrillic is mostly 2 and 3 byte runes.
		benchBytes(b, indexSizes, bmIndexRuneUnicode(unicode.Cyrillic, 'Ꙁ'))
	})
	b.Run("Han", func(b *testing.B) {

                          by Lewis Carroll

First published in 1865.

This text was produced by Project Gutenberg www.gutenberg.org,
an organization that produces free electronic books, mostly of
works old enough that they have passed into the public domain.


                            CHAPTER I

                      Down the Rabbit-Hole

build:ios_sim_arm64 --cpu=ios_sim_arm64
build:ios_x86_64 --config=ios
build:ios_x86_64 --cpu=ios_x86_64
build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64

# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.

	for k := range specifiedPools {
		pi, ok := rememberedPools[k]
		if !ok {
			// we do not have the pool anymore that we previously remembered, since all
			// the CLI checks out we can allow updates since we are mostly adding a pool here.
			update = true
		}
		if ok && pi.completed {

	// FIXME: network calls made in this manner such as one goroutine per node,
	// can easily eat into the internode bandwidth. This function would be mostly
	// TX saturating, however there are situations where a RX might also saturate.
	// To avoid these problems we must split the work at scale. With 1000 node

	if objectAPI == nil {
		return
	}

	if globalInplaceUpdateDisabled || currentReleaseTime.IsZero() {
		// if MINIO_UPDATE=off - inplace update is disabled, mostly in containers.
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrMethodNotAllowed), r.URL)
		return
	}

	vars := mux.Vars(r)
	updateURL := vars["updateURL"]
	mode := getMinioMode()

  // +optional
  // +patchStrategy=merge
  repeated string finalizers = 14;

  // ManagedFields maps workflow-id and version to the set of fields
  // that are managed by that workflow. This is mostly for internal
  // housekeeping, and users typically shouldn't need to set or
  // understand this field. A workflow can be the user's name, a
  // controller's name, or the name of a specific apply path like

represents the bitwise and instruction,
<code>AND</code> (without the leading <code>A</code>),
and is written in assembly source as <code>AND</code>.
The enumeration is mostly in alphabetical order.
(The architecture-independent <code>AXXX</code>, defined in the
<code>cmd/internal/obj</code> package,
represents an invalid instruction).