}
}

// RMetricName - name of replication metric
type RMetricName string

const (
	// Large - objects larger than 128MiB
	Large RMetricName = "Large"
	// Small - objects smaller than 128MiB
	Small RMetricName = "Small"
	// Total - metric pertaining to totals
	Total RMetricName = "Total"
)

// ReplQNodeStats holds queue stats for replication per node
type ReplQNodeStats struct {

	}{{
		// The writer test file was produced with this command:
		// tar (GNU tar) 1.26
		//   ln -s small.txt link.txt
		//   tar -b 1 --format=ustar -c -f writer.tar small.txt small2.txt link.txt
		file: "testdata/writer.tar",
		tests: []testFnc{
			testHeader{Header{
				Typeflag: TypeReg,
				Name:     "small.txt",
				Size:     5,
				Mode:     0640,
				Uid:      73025,
				Gid:      5000,
				Uname:    "dsymonds",

        "//tensorflow/core/platform:status",
        "@com_google_absl//absl/container:flat_hash_set",
    ],
)

tf_cuda_cc_test(
    name = "gradients_test",
    size = "small",
    srcs = [
        "gradients_test.cc",
    ],
    args = ["--heap_check="],
    tags = tf_cuda_tests_tags() + ["nomac"],
    deps = [
        ":abstract_context",
        ":abstract_tensor_handle",

common:windows --cxxopt=/std:c++17
common:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
common:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
common:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible
common:windows --copt=-DWIN32_LEAN_AND_MEAN
common:windows --host_copt=-DWIN32_LEAN_AND_MEAN

		t.Fatalf("failed to receive expected error after %d bytes", failAfter)
	}
	if c != byte(0) {
		t.Fatalf("expected null byte, got %v", c)
	}
}

func BenchmarkBufioScanner(b *testing.B) {
	b.Run("small", func(b *testing.B) {
		for b.Loop() {
			benchmarkBufioScanner(smallInput)
		}
	})
	b.Run("medium", func(b *testing.B) {
		for b.Loop() {
			benchmarkBufioScanner(mediumInput)
		}
	})

## Overview

MinIO implements an S3 extension to list, stat and download files inside a ZIP file stored in any bucket. A perfect use case scenario is when you have a lot of small files archived in multiple ZIP files. Uploading them is faster than uploading small files individually. Besides, your S3 applications will be able to access to the data with little performance overhead.

- Contains well-written, logical commits explaining *why* changes were made (e.g., “Add S3 bucket tagging support so that users can organize resources efficiently”).
- Is small, focused, and easy to review—ideally one commit, unless multiple commits better narrate complex work.
- Adheres to MinIO’s coding standards (e.g., Go style, error handling, testing).

for idx in {1..10}; do
	# generate random nr of blocks
	COUNT=$((RANDOM % 100 + 100))
	# generate random content
	dd if=/dev/urandom bs=50K count="${COUNT}" of="${SRC_DIR}"/file"$idx"
done

# create small object that will be inlined into xl.meta
dd if=/dev/urandom bs=50K count=1 of="${INLINED_DIR}"/inlined

if ./mc cp --quiet --recursive "${SRC_DIR}/" "${ALIAS_NAME}"/"${BUCKET}"/initial-data/; then

/**
 * Split a list of elements into nearly even sublist. If an element is too large, largeElementSplitFunction will be used to split the large element into several smaller pieces;
 * if some elements are too small, they will be aggregated by smallElementAggregateFunction.
 *
 * @param list the list to split, must be ordered by size desc
 * @param toIntFunction the function used to map the element to its "size"

	// downloading is done. Data bytes are from DummyDataGen.
	objectInputs := []ObjectInput{
		// // cases 0-3: small single part objects
		{"nothing", []int64{0}, make(map[string]string)},
		{"small-0", []int64{11}, make(map[string]string)},
		{"small-1", []int64{509}, make(map[string]string)},
		{"small-2", []int64{5 * oneMiB}, make(map[string]string)},
		// // // cases 4-7: multipart part objects