
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_      (			UpperCAmelCase_							:				int       ):
						lowercase       :    Dict											=  tmp_path / '''file.jsonl'''
						lowercase       :    str											=  textwrap.dedent(
						    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''       )
						with open(UpperCAmelCase_							,			'''w'''       ) as f:
												f.write(UpperCAmelCase_       )
						return str(UpperCAmelCase_       )

@pytest.fixture
def        lowerCamelCase_      (			UpperCAmelCase_							:				Union[str, Any]       ):
						lowercase       :    Dict											=  tmp_path / '''file_utf16_encoded.jsonl'''
						lowercase       :    List[Any]											=  textwrap.dedent(
						    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''       )
						with open(UpperCAmelCase_							,			'''w'''							,			encoding='''utf-16'''       ) as f:
												f.write(UpperCAmelCase_       )
						return str(UpperCAmelCase_       )

@pytest.fixture
def        lowerCamelCase_      (			UpperCAmelCase_							:				List[str]       ):
						lowercase       :    int											=  tmp_path / '''file_with_list_of_dicts.json'''
						lowercase       :    Tuple											=  textwrap.dedent(
						    '''\
        [
            {"col_1": -1},
            {"col_1": 1, "col_2": 2},
            {"col_1": 10, "col_2": 20}
        ]
        '''       )
						with open(UpperCAmelCase_							,			'''w'''       ) as f:
												f.write(UpperCAmelCase_       )
						return str(UpperCAmelCase_       )

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

@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_      (			UpperCAmelCase_							:				Tuple							,			UpperCAmelCase_							:				Union[str, Any]							,			UpperCAmelCase_							:				str       ):
						lowercase       :    Tuple											=  Json(**UpperCAmelCase_       )
						lowercase       :    List[Any]											=  json._generate_tables([[request.getfixturevalue(UpperCAmelCase_       )]]       )
						lowercase       :    Dict											=  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_      (			UpperCAmelCase_							:				int							,			UpperCAmelCase_							:				Dict							,			UpperCAmelCase_							:				Dict       ):
						lowercase       :    str											=  Json(**UpperCAmelCase_       )
						lowercase       :    List[str]											=  json._generate_tables([[request.getfixturevalue(UpperCAmelCase_       )]]       )
						lowercase       :    Optional[int]											=  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]}




snake_case__  							=							"""
# Installation de Transformers
! pip install transformers datasets
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

snake_case__  							=							[{"""type""": """code""", """content""": INSTALL_CONTENT}]
snake_case__  							=							{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}


