



import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class      __lowerCAmelCase     (		__a							,     unittest.TestCase      ):
					"""simple docstring"""






					A__				:		List[str]			       =    None
					A__				:		List[Any]			       =    BloomTokenizerFast
					A__				:		Optional[Any]			       =    BloomTokenizerFast
					A__				:		Dict			       =    True
					A__				:		Optional[Any]			       =    False
					A__				:		Tuple			       =    "tokenizer_file"
					A__				:		Union[str, Any]			       =    {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}



					def     _a							(     self					:       Dict					):






								"""simple docstring"""


								super().setUp()
								A__       =    BloomTokenizerFast.from_pretrained('bigscience/tokenizer'					)
								tokenizer.save_pretrained(self.tmpdirname					)



					def     _a							(     self					:       Optional[int]				,					**_snake_case					:       List[str]					):






								"""simple docstring"""


								kwargs.update(self.special_tokens_map					)
								return BloomTokenizerFast.from_pretrained(self.tmpdirname				,					**A__					)



					def     _a							(     self					:       Optional[Any]					):






								"""simple docstring"""


								A__       =    self.get_rust_tokenizer()

								A__       =    ['The quick brown fox</s>', 'jumps over the lazy dog</s>']
								A__       =    [[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

								A__       =    tokenizer.batch_encode_plus(A__					)['input_ids']
								self.assertListEqual(A__				,					A__					)

								A__       =    tokenizer.batch_decode(A__					)
								self.assertListEqual(A__				,					A__					)



					def     _a							(     self					:       Union[str, Any]				,					_snake_case					:       List[str]=6					):






								"""simple docstring"""


								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
														A__       =    self.rust_tokenizer_class.from_pretrained(A__				,					**A__					)
														# tokenizer_r.pad_token = None # Hotfixing padding = None
														# Simple input
														A__       =    'This is a simple input'
														A__       =    ['This is a simple input 1', 'This is a simple input 2']
														A__       =    ('This is a simple input', 'This is a pair')
														A__       =    [
														    ('This is a simple input 1', 'This is a simple input 2'),
														    ('This is a simple pair 1', 'This is a simple pair 2'),
														]

														# Simple input tests
														try:
																	tokenizer_r.encode(A__				,					max_length=A__					)
																	tokenizer_r.encode_plus(A__				,					max_length=A__					)

																	tokenizer_r.batch_encode_plus(A__				,					max_length=A__					)
																	tokenizer_r.encode(A__				,					max_length=A__					)
																	tokenizer_r.batch_encode_plus(A__				,					max_length=A__					)
														except ValueError:
																	self.fail('Bloom Tokenizer should be able to deal with padding'					)

														A__       =    None  # Hotfixing padding = None
														self.assertRaises(A__				,					tokenizer_r.encode				,					A__				,					max_length=A__				,					padding='max_length'					)

														# Simple input
														self.assertRaises(A__				,					tokenizer_r.encode_plus				,					A__				,					max_length=A__				,					padding='max_length'					)

														# Simple input
														self.assertRaises(
														    A__				,					tokenizer_r.batch_encode_plus				,					A__				,					max_length=A__				,					padding='max_length'				,					)

														# Pair input
														self.assertRaises(A__				,					tokenizer_r.encode				,					A__				,					max_length=A__				,					padding='max_length'					)

														# Pair input
														self.assertRaises(A__				,					tokenizer_r.encode_plus				,					A__				,					max_length=A__				,					padding='max_length'					)

														# Pair input
														self.assertRaises(
														    A__				,					tokenizer_r.batch_encode_plus				,					A__				,					max_length=A__				,					padding='max_length'				,					)



					def     _a							(     self					:       str					):






								"""simple docstring"""


								A__       =    self.get_rust_tokenizer()
								A__       =    load_dataset('xnli'				,					'all_languages'				,					split='test'				,					streaming=A__					)

								A__       =    next(iter(A__					)					)['premise']  # pick up one data
								A__       =    list(sample_data.values()					)

								A__       =    list(map(tokenizer.encode				,					A__					)					)
								A__       =    [tokenizer.decode(A__				,					clean_up_tokenization_spaces=A__					) for x in output_tokens]
								self.assertListEqual(A__				,					A__					)



					def     _a							(     self					:       int					):






								"""simple docstring"""


								self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map					)				,					1					)
								self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()					)[0]					)				,					1					)









def A						(       __UpperCamelCase					)						->      bool:
			return number & 1 == 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()




