


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_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     List[Any]       	=   tmp_path / '''file.jsonl'''
		lowerCAmelCase__  :     Tuple       	=   textwrap.dedent(
		    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''			)
		with open(_a      ,  '''w'''			) as f:
				f.write(_a			)
		return str(_a			)






@pytest.fixture
def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     int       	=   tmp_path / '''file_utf16_encoded.jsonl'''
		lowerCAmelCase__  :     Optional[Any]       	=   textwrap.dedent(
		    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''			)
		with open(_a      ,  '''w'''      ,  encoding='''utf-16'''			) as f:
				f.write(_a			)
		return str(_a			)






@pytest.fixture
def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     Tuple       	=   tmp_path / '''file_with_list_of_dicts.json'''
		lowerCAmelCase__  :     Tuple       	=   textwrap.dedent(
		    '''\
        [
            {"col_1": -1},
            {"col_1": 1, "col_2": 2},
            {"col_1": 10, "col_2": 20}
        ]
        '''			)
		with open(_a      ,  '''w'''			) as f:
				f.write(_a			)
		return str(_a			)






@pytest.fixture
def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     Optional[int]       	=   tmp_path / '''file_with_list_of_dicts_field.json'''
		lowerCAmelCase__  :     str       	=   textwrap.dedent(
		    '''\
        {
            "field1": 1,
            "field2": "aabb",
            "field3": [
                {"col_1": -1},
                {"col_1": 1, "col_2": 2},
                {"col_1": 10, "col_2": 20}
            ]
        }
        '''			)
		with open(_a      ,  '''w'''			) as f:
				f.write(_a			)
		return str(_a			)






@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_       (			_a      ,  _a      ,  _a			):




		"""simple docstring"""






		lowerCAmelCase__  :     int       	=   Json(**_a			)
		lowerCAmelCase__  :     Optional[int]       	=   json._generate_tables([[request.getfixturevalue(_a			)]]			)
		lowerCAmelCase__  :     Optional[Any]       	=   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_       (			_a      ,  _a      ,  _a			):




		"""simple docstring"""






		lowerCAmelCase__  :     Union[str, Any]       	=   Json(**_a			)
		lowerCAmelCase__  :     Optional[int]       	=   json._generate_tables([[request.getfixturevalue(_a			)]]			)
		lowerCAmelCase__  :     Union[str, Any]       	=   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]}








import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


lowerCamelCase		=						logging.get_logger(__name__)





class    _a				(							_lowercase):




	def __init__(   self		:						Any						,   *_SCREAMING_SNAKE_CASE		:						int						,   **_SCREAMING_SNAKE_CASE		:						Dict						)->			None:
			warnings.warn(
			    '''The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
			    ''' Please use MaskFormerImageProcessor instead.'''						,   _SCREAMING_SNAKE_CASE						,   )
			super().__init__(*_SCREAMING_SNAKE_CASE						,   **_SCREAMING_SNAKE_CASE						)




