


'''simple docstring'''


import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json






@pytest.fixture
def 			__lowerCAmelCase			(__lowerCAmelCase ):
		_UpperCAmelCase		:							Union[str, Any]             =   tmp_path / "file.jsonl"
		_UpperCAmelCase		:							Dict             =   textwrap.dedent(
		    "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        " )
		with open(snake_case_   ,			"w" ) as f:
				f.write(snake_case_ )
		return str(snake_case_ )






@pytest.fixture
def 			__lowerCAmelCase			(__lowerCAmelCase ):
		_UpperCAmelCase		:							Tuple             =   tmp_path / "file_utf16_encoded.jsonl"
		_UpperCAmelCase		:							Dict             =   textwrap.dedent(
		    "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        " )
		with open(snake_case_   ,			"w"   ,			encoding="utf-16" ) as f:
				f.write(snake_case_ )
		return str(snake_case_ )






@pytest.fixture
def 			__lowerCAmelCase			(__lowerCAmelCase ):
		_UpperCAmelCase		:							Any             =   tmp_path / "file_with_list_of_dicts.json"
		_UpperCAmelCase		:							List[Any]             =   textwrap.dedent(
		    "\\n        [\n            {\"col_1\": -1},\n            {\"col_1\": 1, \"col_2\": 2},\n            {\"col_1\": 10, \"col_2\": 20}\n        ]\n        " )
		with open(snake_case_   ,			"w" ) as f:
				f.write(snake_case_ )
		return str(snake_case_ )






@pytest.fixture
def 			__lowerCAmelCase			(__lowerCAmelCase ):
		_UpperCAmelCase		:							List[Any]             =   tmp_path / "file_with_list_of_dicts_field.json"
		_UpperCAmelCase		:							Any             =   textwrap.dedent(
		    "\\n        {\n            \"field1\": 1,\n            \"field2\": \"aabb\",\n            \"field3\": [\n                {\"col_1\": -1},\n                {\"col_1\": 1, \"col_2\": 2},\n                {\"col_1\": 10, \"col_2\": 20}\n            ]\n        }\n        " )
		with open(snake_case_   ,			"w" ) as f:
				f.write(snake_case_ )
		return str(snake_case_ )






@pytest.mark.parametrize(
    "file_fixture, config_kwargs"   ,			[
        ("jsonl_file", {}),
        ("jsonl_file_utf16_encoded", {"encoding": "utf-16"}),
        ("json_file_with_list_of_dicts", {}),
        ("json_file_with_list_of_dicts_field", {"field": "field3"}),
    ]   ,			)
def 			__lowerCAmelCase			(__lowerCAmelCase   ,			__lowerCAmelCase   ,			__lowerCAmelCase ):
		_UpperCAmelCase		:							Optional[Any]             =   Json(**snake_case_ )
		_UpperCAmelCase		:							Dict             =   json._generate_tables([[request.getfixturevalue(snake_case_ )]] )
		_UpperCAmelCase		:							int             =   pa.concat_tables([table for _, table in generator] )
		assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}






@pytest.mark.parametrize(
    "file_fixture, config_kwargs"   ,			[
        (
            "jsonl_file",
            {"features": Features({"col_1": Value("int64" ), "col_2": Value("int64" ), "missing_col": Value("string" )} )},
        ),
        (
            "json_file_with_list_of_dicts",
            {"features": Features({"col_1": Value("int64" ), "col_2": Value("int64" ), "missing_col": Value("string" )} )},
        ),
        (
            "json_file_with_list_of_dicts_field",
            {
                "field": "field3",
                "features": Features(
                    {"col_1": Value("int64" ), "col_2": Value("int64" ), "missing_col": Value("string" )} ),
            },
        ),
    ]   ,			)
def 			__lowerCAmelCase			(__lowerCAmelCase   ,			__lowerCAmelCase   ,			__lowerCAmelCase ):
		_UpperCAmelCase		:							Tuple             =   Json(**snake_case_ )
		_UpperCAmelCase		:							Dict             =   json._generate_tables([[request.getfixturevalue(snake_case_ )]] )
		_UpperCAmelCase		:							Tuple             =   pa.concat_tables([table for _, table in generator] )
		assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}






'''simple docstring'''







from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






def 					_SCREAMING_SNAKE_CASE		(						):
	_lowercase							=     HfArgumentParser(snake_case_	)
	try:
		_lowercase							=     parser.parse_args_into_dataclasses()[0]
	except ValueError as e:
		_lowercase							=     """Arg --no_{0} is no longer used, please use --no-{0} instead."""
		_lowercase							=     """ """.join(str(snake_case_	).split(""" """	)[:-1]	)
		_lowercase							=     """"""
		_lowercase							=     eval(str(snake_case_	).split(""" """	)[-1]	)
		_lowercase							=     []
		for arg in depreciated_args:
			# arg[2:] removes '--'
			if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
				# arg[5:] removes '--no_'
				full_error_msg += arg_error_msg.format(arg[5:]	)
			else:
				wrong_args.append(snake_case_	)
		if len(snake_case_	) > 0:
			_lowercase							=     full_error_msg + begin_error_msg + str(snake_case_	)
		raise ValueError(snake_case_	)

	_lowercase							=     PyTorchBenchmark(args=snake_case_	)
	benchmark.run()


if __name__ == "__main__":
							main()




