}
		}
	}
}

// TestLarge generates a very large file to verify that large
// program builds successfully, in particular, too-far
// conditional branches are fixed, and also verify that the
// instruction's pc can be correctly aligned even when branches
// need to be fixed.
func TestLarge(t *testing.T) {
	if testing.Short() {
		t.Skip("Skip in short mode")
	}

    'tensorflow/dtensor/mlir/tests',
]
config.mlir_tf_tools_dirs = [
    os.path.join(real_test_srcdir, os.environ['TEST_WORKSPACE'], s)
    for s in mlir_tf_tools_dirs
]
test_dir = os.environ['TEST_TARGET']
test_dir = test_dir.strip('/').rsplit(':', 1)[0]
config.mlir_test_dir = os.path.join(real_test_srcdir,
                                    os.environ['TEST_WORKSPACE'], test_dir)

if platform.system() == 'Windows':

	if zstdBigErr != nil {
		t.Fatal(zstdBigErr)
	}
	return zstdBigBytes
}

// Test decompressing a large file. We don't have a compressor,
// so this test only runs on systems with zstd installed.
func TestLarge(t *testing.T) {
	if testing.Short() {
		t.Skip("skipping expensive test in short mode")
	}

	data := bigData(t)
	compressed := zstdBigData(t)