




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							)			->		Any:





  """simple docstring"""





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


@pytest.fixture
def 		_lowerCamelCase				(					UpperCamelCase							)			->		List[Any]:





  """simple docstring"""





  _lowercase: int						     =    tmp_path / 'file_utf16_encoded.jsonl'
  _lowercase: Dict						     =    textwrap.dedent(
      '\\n        {"col_1": -1}\n        {"col_1": 1, "col_2": 2}\n        {"col_1": 10, "col_2": 20}\n        '							)
  with open(UpperCamelCase					,     'w'					,     encoding='utf-16'							) as f:
    f.write(UpperCamelCase							)
  return str(UpperCamelCase							)


@pytest.fixture
def 		_lowerCamelCase				(					UpperCamelCase							)			->		Union[str, Any]:





  """simple docstring"""





  _lowercase: Optional[int]						     =    tmp_path / 'file_with_list_of_dicts.json'
  _lowercase: 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(UpperCamelCase					,     'w'							) as f:
    f.write(UpperCamelCase							)
  return str(UpperCamelCase							)


@pytest.fixture
def 		_lowerCamelCase				(					UpperCamelCase							)			->		Tuple:





  """simple docstring"""





  _lowercase: Optional[Any]						     =    tmp_path / 'file_with_list_of_dicts_field.json'
  _lowercase: Union[str, 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(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					,     UpperCamelCase					,     UpperCamelCase							)			->		List[Any]:





  """simple docstring"""





  _lowercase: str						     =    Json(**UpperCamelCase							)
  _lowercase: Optional[int]						     =    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					,     UpperCamelCase					,     UpperCamelCase							)			->		Any:





  """simple docstring"""





  _lowercase: Tuple						     =    Json(**UpperCamelCase							)
  _lowercase: Union[str, Any]						     =    json._generate_tables([[request.getfixturevalue(UpperCamelCase							)]]							)
  _lowercase: 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]}






from typing import TYPE_CHECKING

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


UpperCAmelCase__						:       Union[str, Any]							=    {'configuration_bert_generation': ['BertGenerationConfig']}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:       str							=    ['BertGenerationTokenizer']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:       Tuple							=    [
       'BertGenerationDecoder',
       'BertGenerationEncoder',
       'BertGenerationPreTrainedModel',
       'load_tf_weights_in_bert_generation',
   ]


if TYPE_CHECKING:
   from .configuration_bert_generation import BertGenerationConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_bert_generation import BertGenerationTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bert_generation import (
          BertGenerationDecoder,
          BertGenerationEncoder,
          BertGenerationPreTrainedModel,
          load_tf_weights_in_bert_generation,
      )

else:
   import sys

   UpperCAmelCase__						:       List[Any]							=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
