





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		):
     _SCREAMING_SNAKE_CASE				:		Dict  			=							tmp_path / "file.jsonl"
     _SCREAMING_SNAKE_CASE				:		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 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		List[Any]  			=							tmp_path / "file_utf16_encoded.jsonl"
     _SCREAMING_SNAKE_CASE				:		List[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",				encoding="utf-16"		) as f:
          f.write(__lowerCamelCase		)
     return str(__lowerCamelCase		)






@pytest.fixture
def 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		List[Any]  			=							tmp_path / "file_with_list_of_dicts.json"
     _SCREAMING_SNAKE_CASE				:		str  			=							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 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		List[Any]  			=							tmp_path / "file_with_list_of_dicts_field.json"
     _SCREAMING_SNAKE_CASE				:		List[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 			lowerCamelCase__	(__lowerCamelCase,				__lowerCamelCase,				__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Dict  			=							Json(**__lowerCamelCase		)
     _SCREAMING_SNAKE_CASE				:		List[str]  			=							json._generate_tables([[request.getfixturevalue(__lowerCamelCase		)]]		)
     _SCREAMING_SNAKE_CASE				:		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__	(__lowerCamelCase,				__lowerCamelCase,				__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Dict  			=							Json(**__lowerCamelCase		)
     _SCREAMING_SNAKE_CASE				:		Dict  			=							json._generate_tables([[request.getfixturevalue(__lowerCamelCase		)]]		)
     _SCREAMING_SNAKE_CASE				:		List[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]}






"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__UpperCamelCase			:		List[Any]		    =   {'''configuration_yoso''': ['''YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''YosoConfig''']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase			:		Dict		    =   [
           '''YOSO_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''YosoForMaskedLM''',
           '''YosoForMultipleChoice''',
           '''YosoForQuestionAnswering''',
           '''YosoForSequenceClassification''',
           '''YosoForTokenClassification''',
           '''YosoLayer''',
           '''YosoModel''',
           '''YosoPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_yoso import (
                  YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
                  YosoForMaskedLM,
                  YosoForMultipleChoice,
                  YosoForQuestionAnswering,
                  YosoForSequenceClassification,
                  YosoForTokenClassification,
                  YosoLayer,
                  YosoModel,
                  YosoPreTrainedModel,
              )


else:
       import sys

       __UpperCamelCase			:		Any		    =   _LazyModule(__name__, globals()['''__file__'''], _import_structure)





