* file is detected. The number of bytes read is returned, possibly zero. Does not close the
   * stream.
   *
   * <p>A caller can detect EOF if the number of bytes read is less than {@code len}. All subsequent
   * calls on the same stream will return zero.
   *
   * <p>If {@code b} is null, a {@code NullPointerException} is thrown. If {@code off} is negative,

filegroup(
    name = "tensorflow_def_file",
    srcs = [":tf_custom_op_library_additional_deps.dll"],
    output_group = "def_file",
)

# Filter the DEF file to reduce the number of symbols to 64K or less.
# Note that we also write the name of the pyd file into DEF file so that
# the dynamic libraries of custom ops can find it at runtime.
genrule(
    name = "tensorflow_filtered_def_file",

```

Asegúrate de siempre usar la **forma exec** para garantizar que FastAPI pueda cerrarse de manera adecuada y que [los eventos de lifespan](../advanced/events.md){.internal-link target=_blank} sean disparados.

Puedes leer más sobre esto en las <a href="https://docs.docker.com/reference/dockerfile/#shell-and-exec-form" class="external-link" target="_blank">documentación de Docker para formas de shell y exec</a>.

	}

	// How to resolve partial results.
	resolver := metadataResolutionParams{
		dirQuorum: 1,
		objQuorum: 1,
		bucket:    bucket,
		strict:    false, // Allow less strict matching.
	}

	path := baseDirFromPrefix(prefix)
	filterPrefix := strings.Trim(strings.TrimPrefix(prefix, path), slashSeparator)
	if path == prefix {
		filterPrefix = ""
	}

	lopts := listPathRawOptions{

		// clients detect malformed certificates during testing instead of e.g.
		// a self-signed certificate that works while a comparable certificate
		// issued by a trusted CA fails due to the MinIO server being less strict
		// w.r.t. key usage verification.
		//
		// Basically, MinIO is more consistent (from a client perspective) when
		// we verify the key usage all the time.
		var validKeyUsage bool

* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

## Memory { #memory }

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most

              }
            });

    List<String> actual = newArrayList(result);
    List<String> expected = asList("1", "2", "null", "3");
    assertEquals(expected, actual);
  }

  // Far less exhaustive than the tests in IteratorsTest
  public void testCycle() {
    Iterable<String> cycle = Iterables.cycle("a", "b");

    int howManyChecked = 0;
    for (String string : cycle) {

	// writeQuorum is dataBlocks + 1
	writeQuorum := dataDrives
	if dataDrives == parityDrives {
		writeQuorum++
	}

	// Validate input data size and it can never be less than zero.
	if data.Size() < -1 {
		bugLogIf(ctx, errInvalidArgument, logger.ErrorKind)
		return ObjectInfo{}, toObjectErr(errInvalidArgument)
	}

	// Initialize parts metadata

and not yet overwritten.
These implementation constraints make Go more like Java or JavaScript,
in that most races have a limited number of outcomes,
and less like C and C++, where the meaning of any program with a race
is entirely undefined, and the compiler may do anything at all.
Go's approach aims to make errant programs more reliable and easier to debug,