.circleci/create_circleci_config.py/create_circleci_config
def create_circleci_config(folder=None):
    if folder is None:
        folder = os.getcwd()
    # Used in CircleCIJob.to_dict() to expand the test list (for using parallelism)
    os.environ["test_preparation_dir"] = folder
    jobs = []
    all_test_file = os.path.join(folder, "test_list.txt")
    if os.path.exists(all_test_file):
        with open(all_test_file) as f:
            all_test_list = f.read()
    else:
        all_test_list = []
    if len(all_test_list) > 0:
        jobs.extend(PIPELINE_TESTS)

    test_file = os.path.join(folder, "filtered_test_list.txt")
    if os.path.exists(test_file):
        with open(test_file) as f:
            test_list = f.read()
    else:
        test_list = []
    if len(test_list) > 0:
        jobs.extend(REGULAR_TESTS)

        extended_tests_to_run = set(test_list.split())
        # Extend the test files for cross test jobs
        for job in jobs:
            if job.job_name in ["tests_torch_and_tf", "tests_torch_and_flax"]:
                for test_path in copy.copy(extended_tests_to_run):
                    dir_path, fn = os.path.split(test_path)
                    if fn.startswith("test_modeling_tf_"):
                        fn = fn.replace("test_modeling_tf_", "test_modeling_")
                    elif fn.startswith("test_modeling_flax_"):
                        fn = fn.replace("test_modeling_flax_", "test_modeling_")
                    else:
                        if job.job_name == "test_torch_and_tf":
                            fn = fn.replace("test_modeling_", "test_modeling_tf_")
                        elif job.job_name == "test_torch_and_flax":
                            fn = fn.replace("test_modeling_", "test_modeling_flax_")
                    new_test_file = str(os.path.join(dir_path, fn))
                    if os.path.isfile(new_test_file):
                        if new_test_file not in extended_tests_to_run:
                            extended_tests_to_run.add(new_test_file)
        extended_tests_to_run = sorted(extended_tests_to_run)
        for job in jobs:
            if job.job_name in ["tests_torch_and_tf", "tests_torch_and_flax"]:
                job.tests_to_run = extended_tests_to_run
        fn = "filtered_test_list_cross_tests.txt"
        f_path = os.path.join(folder, fn)
        with open(f_path, "w") as fp:
            fp.write(" ".join(extended_tests_to_run))

    example_file = os.path.join(folder, "examples_test_list.txt")
    if os.path.exists(example_file) and os.path.getsize(example_file) > 0:
        with open(example_file, "r", encoding="utf-8") as f:
            example_tests = f.read()
        for job in EXAMPLES_TESTS:
            framework = job.name.replace("examples_", "").replace("torch", "pytorch")
            if example_tests == "all":
                job.tests_to_run = [f"examples/{framework}"]
            else:
                job.tests_to_run = [f for f in example_tests.split(" ") if f.startswith(f"examples/{framework}")]

            if len(job.tests_to_run) > 0:
                jobs.append(job)

    doctest_file = os.path.join(folder, "doctest_list.txt")
    if os.path.exists(doctest_file):
        with open(doctest_file) as f:
            doctest_list = f.read()
    else:
        doctest_list = []
    if len(doctest_list) > 0:
        jobs.extend(DOC_TESTS)

    repo_util_file = os.path.join(folder, "test_repo_utils.txt")
    if os.path.exists(repo_util_file) and os.path.getsize(repo_util_file) > 0:
        jobs.extend(REPO_UTIL_TESTS)

    if len(jobs) == 0:
        jobs = [EmptyJob()]
    config = {"version": "2.1"}
    config["parameters"] = {
        # Only used to accept the parameters from the trigger
        "nightly": {"type": "boolean", "default": False},
        "tests_to_run": {"type": "string", "default": test_list},
    }
    config["jobs"] = {j.job_name: j.to_dict() for j in jobs}
    config["workflows"] = {"version": 2, "run_tests": {"jobs": [j.job_name for j in jobs]}}
    with open(os.path.join(folder, "generated_config.yml"), "w") as f:
        f.write(yaml.dump(config, indent=2, width=1000000, sort_keys=False))