/compiler/testData/modules.xml/ "Kotlin Compiler Core"
/compiler/testData/multiModule/ "Kotlin Compiler Core"
# UNKNOWN: /compiler/testData/multiplatform/
/compiler/testData/parseCodeFragment/ "Kotlin Compiler Core"
/compiler/testData/psi/ "Kotlin Compiler Core"
/compiler/testData/psiUtil/ "Kotlin Compiler Core"
/compiler/testData/recursiveProcessor/ "Kotlin Compiler Core"
/compiler/testData/reflection/ "Kotlin Libraries"

//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/lib/lmdb:lmdb_testdata
//tensorflow/core/lib/lmdb/testdata:lmdb_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer

- At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:

```
scala> val file = sc.textFile("s3a://testbucket/testdata")
file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)

_test_lib$
//tensorflow/cc/saved_model:saved_model_test_files
//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer
//tensorflow/python:compare_test_proto_py

                // TODO: consider demoting extension receiver to the first argument to align with FIR behavior. See test case
                //  analysis/analysis-api/testData/components/callResolver/resolveCall/functionTypeVariableCall_dispatchReceiver.kt:5 where
                //  FIR and FE1.0 behaves differently because FIR unifies extension receiver of functional type as the first argument

        "//tensorflow/core/platform:resource_loader",
    ],
)

tf_cc_test(
    name = "c_api_experimental_test",
    size = "medium",
    srcs = ["c_api_experimental_test.cc"],
    data = [
        "testdata/tf_record",
        "//tensorflow/c/experimental/stream_executor/test:test_pluggable_device.so",
        "//tensorflow/core/common_runtime/next_pluggable_device/c:test_next_pluggable_device_plugin.so",
    ],