match_any = [
        "@platforms//cpu:aarch32",
        "@platforms//cpu:aarch64",
        "@platforms//cpu:armv6-m",
        "@platforms//cpu:armv7",
        "@platforms//cpu:armv7-m",
        "@platforms//cpu:armv7e-m",
        "@platforms//cpu:armv7e-mf",
    ],
)

config_setting(
    name = "freebsd",
    constraint_values = [
        "@platforms//os:freebsd",

common:rbe_linux --host_linkopt=-lm

common:rbe_linux_cpu --config=rbe_linux
common:rbe_linux_cpu --extra_execution_platforms="@ml_build_config_platform//:platform"
common:rbe_linux_cpu --host_platform="@ml_build_config_platform//:platform"
common:rbe_linux_cpu --platforms="@ml_build_config_platform//:platform"
# This is needed for all Clang17 builds but must not be present in GCC builds.
common:rbe_linux_cpu --copt=-Wno-error=unused-command-line-argument

	if maxN := availableMemory() / (blockSizeV2 * 2); n > maxN {
		n = maxN
	}

	if globalIsCICD || strconv.IntSize == 32 {
		n = 256 // 256MiB for CI/CD environments is sufficient or on 32bit platforms.
	}

	// Initialize byte pool once for all sets, bpool size is set to
	// setCount * setDriveCount with each memory upto blockSizeV2.
	buffers := bpool.NewBytePoolCap(n, blockSizeV2, blockSizeV2*2)
	if n >= 16384 {

	if pathName == "." || pathName == ".." || pathName == slashSeparator {
		return errFileAccessDenied
	}

	// Check each path segment length is > 255 on all Unix
	// platforms, look for this value as NAME_MAX in
	// /usr/include/linux/limits.h
	var count int64
	for _, p := range pathName {
		switch p {
		case '/':
			count = 0 // Reset
		case '\\':

#include "tensorflow/core/lib/hash/hash.h"
#include "tensorflow/core/lib/strings/proto_serialization.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

// Specification for expected input/output and its type.

#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//
// Pass "library_filename" to a platform-specific mechanism for dynamically
// loading a library. The rules for determining the exact location of the
// library are platform-specific and are not documented here.
//
// On success, place OK in status and return the newly created library handle.

        assertEquals("d", pom.getValue("dependencies[4]/artifactId"));
    }

    @Test
    void testBuildDirectoriesUsePlatformSpecificFileSeparator() throws Exception {
        PomTestWrapper pom = buildPom("platform-file-separator");
        assertPathWithNormalizedFileSeparators(pom.getValue("build/directory"));
        assertPathWithNormalizedFileSeparators(pom.getValue("build/outputDirectory"));