

import textwrap

import pyarrow as pa
import pytest

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







@pytest.fixture
def  UpperCAmelCase_   (_lowerCAmelCase :		Tuple		):
			__UpperCamelCase    :    Optional[int]								=      tmp_path / "file.jsonl"
			__UpperCamelCase    :    Any								=      textwrap.dedent(
			    "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        "		)
			with open(_lowerCAmelCase     ,			"w"		) as f:
						f.write(_lowerCAmelCase		)
			return str(_lowerCAmelCase		)







@pytest.fixture
def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			__UpperCamelCase    :    List[str]								=      tmp_path / "file_utf16_encoded.jsonl"
			__UpperCamelCase    :    Optional[int]								=      textwrap.dedent(
			    "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        "		)
			with open(_lowerCAmelCase     ,			"w"     ,			encoding="utf-16"		) as f:
						f.write(_lowerCAmelCase		)
			return str(_lowerCAmelCase		)







@pytest.fixture
def  UpperCAmelCase_   (_lowerCAmelCase :		int		):
			__UpperCamelCase    :    List[Any]								=      tmp_path / "file_with_list_of_dicts.json"
			__UpperCamelCase    :    Optional[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(_lowerCAmelCase     ,			"w"		) as f:
						f.write(_lowerCAmelCase		)
			return str(_lowerCAmelCase		)







@pytest.fixture
def  UpperCAmelCase_   (_lowerCAmelCase :		Optional[int]		):
			__UpperCamelCase    :    List[Any]								=      tmp_path / "file_with_list_of_dicts_field.json"
			__UpperCamelCase    :    Optional[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(_lowerCAmelCase     ,			"w"		) as f:
						f.write(_lowerCAmelCase		)
			return str(_lowerCAmelCase		)







@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  UpperCAmelCase_   (_lowerCAmelCase :		Tuple     ,			_lowerCAmelCase :		List[str]     ,			_lowerCAmelCase :		Any		):
			__UpperCamelCase    :    Optional[Any]								=      Json(**_lowerCAmelCase		)
			__UpperCamelCase    :    int								=      json._generate_tables([[request.getfixturevalue(_lowerCAmelCase		)]]		)
			__UpperCamelCase    :    List[str]								=      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  UpperCAmelCase_   (_lowerCAmelCase :		Optional[int]     ,			_lowerCAmelCase :		Tuple     ,			_lowerCAmelCase :		List[str]		):
			__UpperCamelCase    :    Optional[int]								=      Json(**_lowerCAmelCase		)
			__UpperCamelCase    :    List[str]								=      json._generate_tables([[request.getfixturevalue(_lowerCAmelCase		)]]		)
			__UpperCamelCase    :    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 numpy as np

lowercase     :       Union[str, Any]        =       [
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]
class 		SCREAMING_SNAKE_CASE__					:







						"""simple docstring"""




						def __init__(				self    )							->	None:




									'''simple docstring'''


									__UpperCamelCase    :    Union[str, Any]								=      np.array(__UpperCamelCase    )

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	np.ndarray:




									'''simple docstring'''


									__UpperCamelCase							,				__UpperCamelCase    :    List[Any]								=      np.where(letter == self.SQUARE    )
									__UpperCamelCase    :    Tuple								=      np.concatenate([indexa + 1, indexa + 1]    )
									return indexes

						def __lowerCamelCase					(				self , __UpperCamelCase , __UpperCamelCase    )							->	str:




									'''simple docstring'''


									return self.SQUARE[indexa - 1, indexa - 1]

						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	str:




									'''simple docstring'''


									__UpperCamelCase    :    int								=      message.lower()
									__UpperCamelCase    :    List[Any]								=      message.replace("j" , "i"    )

									__UpperCamelCase    :    Dict								=      ""
									for letter_index in range(len(__UpperCamelCase    )    ):
												if message[letter_index] != " ":
															__UpperCamelCase    :    int								=      self.letter_to_numbers(message[letter_index]    )
															__UpperCamelCase    :    Optional[int]								=      encoded_message + str(numbers[0]    ) + str(numbers[1]    )
												elif message[letter_index] == " ":
															__UpperCamelCase    :    List[str]								=      encoded_message + " "

									return encoded_message




						def __lowerCamelCase					(				self , __UpperCamelCase    )							->	str:




									'''simple docstring'''


									__UpperCamelCase    :    Dict								=      message.replace(" " , "  "    )
									__UpperCamelCase    :    Optional[int]								=      ""
									for numbers_index in range(int(len(__UpperCamelCase    ) / 2    )    ):
												if message[numbers_index * 2] != " ":
															__UpperCamelCase    :    int								=      message[numbers_index * 2]
															__UpperCamelCase    :    Optional[int]								=      message[numbers_index * 2 + 1]

															__UpperCamelCase    :    str								=      self.numbers_to_letter(int(__UpperCamelCase    ) , int(__UpperCamelCase    )    )
															__UpperCamelCase    :    Optional[Any]								=      decoded_message + letter
												elif message[numbers_index * 2] == " ":
															__UpperCamelCase    :    str								=      decoded_message + " "

									return decoded_message