


"""simple docstring"""





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 		snake_case_(       a__							,					unittest.TestCase			):
     __UpperCamelCase  =					None
     __UpperCamelCase  =					BloomTokenizerFast
     __UpperCamelCase  =					BloomTokenizerFast
     __UpperCamelCase  =					True
     __UpperCamelCase  =					False
     __UpperCamelCase  =					'''tokenizer_file'''
     __UpperCamelCase  =					{'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}






     def      lowerCamelCase__     (	self  :					Tuple				):
           super().setUp()
           lowerCAmelCase					:	str       =   BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''				)
           tokenizer.save_pretrained(self.tmpdirname				)






     def      lowerCamelCase__     (	self  :					List[str]					,				**UpperCamelCase_  :					Tuple				):
           kwargs.update(self.special_tokens_map				)
           return BloomTokenizerFast.from_pretrained(self.tmpdirname					,				**UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					int				):
           lowerCAmelCase					:	Union[str, Any]       =   self.get_rust_tokenizer()

           lowerCAmelCase					:	str       =   ['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
           lowerCAmelCase					:	Optional[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]]

           lowerCAmelCase					:	int       =   tokenizer.batch_encode_plus(UpperCamelCase_				)['''input_ids''']
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	Optional[int]       =   tokenizer.batch_decode(UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Optional[Any]					,				UpperCamelCase_  :					Tuple=6				):
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
                       lowerCAmelCase					:	List[Any]       =   self.rust_tokenizer_class.from_pretrained(UpperCamelCase_					,				**UpperCamelCase_				)
                       # tokenizer_r.pad_token = None # Hotfixing padding = None
                       # Simple input
                       lowerCAmelCase					:	int       =   '''This is a simple input'''
                       lowerCAmelCase					:	Any       =   ['''This is a simple input 1''', '''This is a simple input 2''']
                       lowerCAmelCase					:	Tuple       =   ('''This is a simple input''', '''This is a pair''')
                       lowerCAmelCase					:	List[str]       =   [
                           ('''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(UpperCamelCase_					,				max_length=UpperCamelCase_				)
                             tokenizer_r.encode_plus(UpperCamelCase_					,				max_length=UpperCamelCase_				)

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

                       lowerCAmelCase					:	Dict       =   None  # Hotfixing padding = None
                       self.assertRaises(UpperCamelCase_					,				tokenizer_r.encode					,				UpperCamelCase_					,				max_length=UpperCamelCase_					,				padding='''max_length'''				)

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

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

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

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

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






     def      lowerCamelCase__     (	self  :					Optional[Any]				):
           lowerCAmelCase					:	List[str]       =   self.get_rust_tokenizer()
           lowerCAmelCase					:	Union[str, Any]       =   load_dataset('''xnli'''					,				'''all_languages'''					,				split='''test'''					,				streaming=UpperCamelCase_				)

           lowerCAmelCase					:	int       =   next(iter(UpperCamelCase_				)				)['''premise''']  # pick up one data
           lowerCAmelCase					:	Union[str, Any]       =   list(sample_data.values()				)

           lowerCAmelCase					:	Optional[Any]       =   list(map(tokenizer.encode					,				UpperCamelCase_				)				)
           lowerCAmelCase					:	Dict       =   [tokenizer.decode(UpperCamelCase_					,				clean_up_tokenization_spaces=UpperCamelCase_				) for x in output_tokens]
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					str				):
           # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
           # any sequence length constraints. This test of the parent class will fail since it relies on the
           # maximum sequence length of the positoonal embeddings.
           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				)






"""simple docstring"""





snake_case__		:     List[Any]    				=				'''Tobias Carryer'''

from time import time



class 		snake_case_:






     def __init__(	self  :					Optional[Any]					,				UpperCamelCase_  :					Optional[Any]					,				UpperCamelCase_  :					Tuple					,				UpperCamelCase_  :					Optional[int]					,				UpperCamelCase_  :					Dict=int(time()				)				):  # noqa: B008
           lowerCAmelCase					:	str       =   multiplier
           lowerCAmelCase					:	Optional[int]       =   increment
           lowerCAmelCase					:	Optional[Any]       =   modulo
           lowerCAmelCase					:	Optional[Any]       =   seed






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Optional[int]       =   (self.multiplier * self.seed + self.increment) % self.modulo
           return self.seed


if __name__ == "__main__":
 # Show the LCG in action.
 snake_case__		:     int    				=				LinearCongruentialGenerator(1_664_525, 1_013_904_223, 2 << 31)
 while True:
  print(lcg.next_number())


