
"""simple docstring"""




from __future__ import annotations



def 							_lowerCamelCase			(			__a,				__a = None,				__a = None     ):
		if start is None:
				SCREAMING_SNAKE_CASE_    			=			0

		if end is None:
				SCREAMING_SNAKE_CASE_    			=			len(__a     ) - 1

		if start >= end:
				return

		SCREAMING_SNAKE_CASE_    			=			(start + end) // 2

		slowsort(__a,				__a,				__a     )
		slowsort(__a,				mid + 1,				__a     )

		if sequence[end] < sequence[mid]:
				SCREAMING_SNAKE_CASE_			,SCREAMING_SNAKE_CASE_    			=			sequence[mid], sequence[end]

		slowsort(__a,				__a,				end - 1     )


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

						testmod()

"""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  (				__lowercase							,      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 _lowercase       (self     ):

									"""simple docstring"""







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

							def _lowercase       (self							,							**SCREAMING_SNAKE_CASE_     ):

									"""simple docstring"""







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

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			self.get_rust_tokenizer()

									SCREAMING_SNAKE_CASE_    			=			['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
									SCREAMING_SNAKE_CASE_    			=			[[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]]

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

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

							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_=6     ):

									"""simple docstring"""







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

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

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

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

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

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

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

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

							def _lowercase       (self     ):

									"""simple docstring"""







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

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

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







							def _lowercase       (self     ):

									"""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     )