

import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 				lowercase       ( lowercase_			,						unittest.TestCase    ):
				__SCREAMING_SNAKE_CASE      :				List[Any]     =    TransfoXLTokenizer
				__SCREAMING_SNAKE_CASE      :				List[Any]     =    False
				__SCREAMING_SNAKE_CASE      :				Union[str, Any]     =    False




				def 					a							(      self ):
											super().setUp()

											snake_case_           =					[
											    '<unk>',
											    '[CLS]',
											    '[SEP]',
											    'want',
											    'unwanted',
											    'wa',
											    'un',
											    'running',
											    ',',
											    'low',
											    'l',
											]
											snake_case_           =					os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['vocab_file'] )
											with open(self.vocab_file   ,     'w'   ,     encoding='utf-8' ) as vocab_writer:
																		vocab_writer.write(''.join([x + '\n' for x in vocab_tokens] ) )




				def 					a							(      self   ,     **snake_case ):
											snake_case_           =					True
											return TransfoXLTokenizer.from_pretrained(self.tmpdirname   ,     **snake_case )




				def 					a							(      self   ,     snake_case ):
											snake_case_           =					'<unk> UNwanted , running'
											snake_case_           =					'<unk> unwanted, running'
											return input_text, output_text




				def 					a							(      self ):
											snake_case_           =					TransfoXLTokenizer(vocab_file=self.vocab_file   ,     lower_case=snake_case )

											snake_case_           =					tokenizer.tokenize('<unk> UNwanted , running' )
											self.assertListEqual(snake_case   ,     ['<unk>', 'unwanted', ',', 'running'] )

											self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case )   ,     [0, 4, 8, 7] )




				def 					a							(      self ):
											snake_case_           =					TransfoXLTokenizer(lower_case=snake_case )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  ' )   ,     ['hello', '!', 'how', 'are', 'you', '?'] )




				def 					a							(      self ):
											snake_case_           =					TransfoXLTokenizer(lower_case=snake_case )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  ' )   ,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?'] )




				def 					a							(      self ):
											snake_case_           =					TransfoXLTokenizer(lower_case=snake_case )
											snake_case_           =					'Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'
											snake_case_           =					[
											    'Hello',
											    '(',
											    'bracket',
											    ')',
											    'and',
											    'side',
											    '@-@',
											    'scrolled',
											    '[',
											    'and',
											    ']',
											    'Henry',
											    '\'s',
											    '$',
											    '5',
											    '@,@',
											    '000',
											    'with',
											    '3',
											    '@.@',
											    '34',
											    'm',
											    '.',
											    'What',
											    '\'s',
											    'up',
											    '!',
											    '?',
											]

											self.assertListEqual(tokenizer.tokenize(snake_case )   ,     snake_case )

											self.assertEqual(tokenizer.convert_tokens_to_string(snake_case )   ,     snake_case )




				def 					a							(      self ):
											snake_case_           =					self.get_tokenizer()
											snake_case_           =					len(snake_case )

											tokenizer.add_tokens(['new1', 'new2'] )
											tokenizer.move_added_token('new1'   ,     1 )

											# Check that moved token is not copied (duplicate)
											self.assertEqual(len(snake_case )   ,     original_len + 2 )
											# Check that token is moved to specified id
											self.assertEqual(tokenizer.encode('new1' )   ,     [1] )
											self.assertEqual(tokenizer.decode([1] )   ,     'new1' )


from unittest import TestCase

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







class 				lowercase       ( lowercase_    ):




				def 					a							(      self ):
											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 					a							(      self ):
											snake_case_           =					{'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
											return Dataset.from_dict(snake_case )




				def 					a							(      self ):
											snake_case_           =					self._create_example_records()
											snake_case_           =					Dataset.from_list(snake_case )
											self.assertListEqual(dset.column_names   ,     ['col_1', 'col_2'] )
											for i, r in enumerate(snake_case ):
																		self.assertDictEqual(snake_case   ,     example_records[i] )




				def 					a							(      self ):
											snake_case_           =					self._create_example_records()
											snake_case_           =					Dataset.from_list(snake_case )
											snake_case_           =					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 					a							(      self ):  # checks what happens with missing columns
											snake_case_           =					[{'col_1': 1}, {'col_2': 'x'}]
											snake_case_           =					Dataset.from_list(snake_case )
											self.assertDictEqual(dset[0]   ,     {'col_1': 1} )
											self.assertDictEqual(dset[1]   ,     {'col_1': None} )  # NB: first record is used for columns




				def 					a							(      self ):  # checks if the type can be inferred from the second record
											snake_case_           =					[{'col_1': []}, {'col_1': [1, 2]}]
											snake_case_           =					Dataset.from_list(snake_case )
											self.assertEqual(dset.info.features['col_1']   ,     Sequence(Value('int64' ) ) )




				def 					a							(      self ):
											snake_case_           =					Dataset.from_list([] )
											self.assertEqual(len(snake_case )   ,     0 )
											self.assertListEqual(dset.column_names   ,     [] )




