
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__							(				__lowercase     ,						unittest.TestCase):




	'''simple docstring'''




	_A								=     None
	_A								=     BloomTokenizerFast
	_A								=     BloomTokenizerFast
	_A								=     True
	_A								=     False
	_A								=     'tokenizer_file'
	_A								=     {'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}







	def    _lowerCamelCase				(					self		:List[str]						)		-> List[Any]:
								super().setUp()
								__UpperCamelCase	:   Tuple			   =					BloomTokenizerFast.from_pretrained("bigscience/tokenizer"						)
								tokenizer.save_pretrained(self.tmpdirname						)







	def    _lowerCamelCase				(					self		:str     ,   **a		:List[str]						)		-> str:
								kwargs.update(self.special_tokens_map						)
								return BloomTokenizerFast.from_pretrained(self.tmpdirname     ,   **__lowerCAmelCase						)







	def    _lowerCamelCase				(					self		:int						)		-> Dict:
								__UpperCamelCase	:   List[Any]			   =					self.get_rust_tokenizer()

								__UpperCamelCase	:   str			   =					["The quick brown fox</s>", "jumps over the lazy dog</s>"]
								__UpperCamelCase	:   int			   =					[[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

								__UpperCamelCase	:   Tuple			   =					tokenizer.batch_encode_plus(__lowerCAmelCase						)["input_ids"]
								self.assertListEqual(__lowerCAmelCase     ,   __lowerCAmelCase						)

								__UpperCamelCase	:   int			   =					tokenizer.batch_decode(__lowerCAmelCase						)
								self.assertListEqual(__lowerCAmelCase     ,   __lowerCAmelCase						)







	def    _lowerCamelCase				(					self		:Optional[int]     ,   a		:Optional[int]=6						)		-> Dict:







								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'						):
																						__UpperCamelCase	:   Optional[int]			   =					self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase     ,   **__lowerCAmelCase						)
																						# tokenizer_r.pad_token = None # Hotfixing padding = None
																						# Simple input
																						__UpperCamelCase	:   Union[str, Any]			   =					"This is a simple input"
																						__UpperCamelCase	:   Any			   =					["This is a simple input 1", "This is a simple input 2"]
																						__UpperCamelCase	:   int			   =					("This is a simple input", "This is a pair")
																						__UpperCamelCase	:   Dict			   =					[
																						    ("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(__lowerCAmelCase     ,   max_length=__lowerCAmelCase						)
																													tokenizer_r.encode_plus(__lowerCAmelCase     ,   max_length=__lowerCAmelCase						)

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

																						__UpperCamelCase	:   Optional[int]			   =					None  # Hotfixing padding = None
																						self.assertRaises(__lowerCAmelCase     ,   tokenizer_r.encode     ,   __lowerCAmelCase     ,   max_length=__lowerCAmelCase     ,   padding="max_length"						)

																						# Simple input
																						self.assertRaises(__lowerCAmelCase     ,   tokenizer_r.encode_plus     ,   __lowerCAmelCase     ,   max_length=__lowerCAmelCase     ,   padding="max_length"						)

																						# Simple input
																						self.assertRaises(
																						    __lowerCAmelCase     ,   tokenizer_r.batch_encode_plus     ,   __lowerCAmelCase     ,   max_length=__lowerCAmelCase     ,   padding="max_length"     ,   )

																						# Pair input
																						self.assertRaises(__lowerCAmelCase     ,   tokenizer_r.encode     ,   __lowerCAmelCase     ,   max_length=__lowerCAmelCase     ,   padding="max_length"						)

																						# Pair input
																						self.assertRaises(__lowerCAmelCase     ,   tokenizer_r.encode_plus     ,   __lowerCAmelCase     ,   max_length=__lowerCAmelCase     ,   padding="max_length"						)

																						# Pair input
																						self.assertRaises(
																						    __lowerCAmelCase     ,   tokenizer_r.batch_encode_plus     ,   __lowerCAmelCase     ,   max_length=__lowerCAmelCase     ,   padding="max_length"     ,   )







	def    _lowerCamelCase				(					self		:Optional[int]						)		-> Dict:
								__UpperCamelCase	:   str			   =					self.get_rust_tokenizer()
								__UpperCamelCase	:   Optional[int]			   =					load_dataset("xnli"     ,   "all_languages"     ,   split="test"     ,   streaming=__lowerCAmelCase						)

								__UpperCamelCase	:   str			   =					next(iter(__lowerCAmelCase						)						)["premise"]  # pick up one data
								__UpperCamelCase	:   Any			   =					list(sample_data.values()						)

								__UpperCamelCase	:   List[str]			   =					list(map(tokenizer.encode     ,   __lowerCAmelCase						)						)
								__UpperCamelCase	:   int			   =					[tokenizer.decode(__lowerCAmelCase     ,   clean_up_tokenization_spaces=__lowerCAmelCase						) for x in output_tokens]
								self.assertListEqual(__lowerCAmelCase     ,   __lowerCAmelCase						)







	def    _lowerCamelCase				(					self		:str						)		-> Optional[Any]:
								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 lowerCAmelCase__(__snake_case							)				->      str:







	'''simple docstring'''







	return "".join(chr(ord(__snake_case							) - 32							) if '''a''' <= char <= '''z''' else char for char in word							)


if __name__ == "__main__":
			from doctest import testmod

			testmod()



