"""simple docstring"""





from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset


class   UpperCAmelCase_			(					__lowercase):


						def 	_UpperCAmelCase (     self							) ->      Dict:
													return [
													    {"col_1": 3, "col_2": "a"},
													    {"col_1": 2, "col_2": "b"},
													    {"col_1": 1, "col_2": "c"},
													    {"col_1": 0, "col_2": "d"},
													]


						def 	_UpperCAmelCase (     self							) ->      Optional[Any]:
													lowercase__    :	List[str]     					=			{"col_1": [3, 2, 1, 0], "col_2": ["a", "b", "c", "d"]}
													return Dataset.from_dict(a							)


						def 	_UpperCAmelCase (     self							) ->      int:
													lowercase__    :	List[str]     					=			self._create_example_records()
													lowercase__    :	Optional[int]     					=			Dataset.from_list(a							)
													self.assertListEqual(dset.column_names	,    ['col_1', 'col_2']							)
													for i, r in enumerate(a							):
																				self.assertDictEqual(a	,    example_records[i]							)


						def 	_UpperCAmelCase (     self							) ->      Optional[int]:
													lowercase__    :	Optional[int]     					=			self._create_example_records()
													lowercase__    :	Dict     					=			Dataset.from_list(a							)
													lowercase__    :	Optional[int]     					=			Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}							)
													self.assertEqual(dset.info	,    dset_from_dict.info							)


						def 	_UpperCAmelCase (     self							) ->      Optional[int]:  # checks what happens with missing columns
													lowercase__    :	List[Any]     					=			[{"col_1": 1}, {"col_2": "x"}]
													lowercase__    :	int     					=			Dataset.from_list(a							)
													self.assertDictEqual(dset[0]	,    {'col_1': 1}							)
													self.assertDictEqual(dset[1]	,    {'col_1': None}							)  # NB: first record is used for columns


						def 	_UpperCAmelCase (     self							) ->      Tuple:  # checks if the type can be inferred from the second record
													lowercase__    :	int     					=			[{"col_1": []}, {"col_1": [1, 2]}]
													lowercase__    :	Any     					=			Dataset.from_list(a							)
													self.assertEqual(dset.info.features['col_1']	,    Sequence(Value('int64'							)							)							)


						def 	_UpperCAmelCase (     self							) ->      Optional[Any]:
													lowercase__    :	Optional[Any]     					=			Dataset.from_list([]							)
													self.assertEqual(len(a							)	,    0							)
													self.assertListEqual(dset.column_names	,    []							)


"""simple docstring"""





from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments

