



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   ( SCREAMING_SNAKE_CASE							, unittest.TestCase ):
		SCREAMING_SNAKE_CASE__								=	None
		SCREAMING_SNAKE_CASE__								=	BloomTokenizerFast
		SCREAMING_SNAKE_CASE__								=	BloomTokenizerFast
		SCREAMING_SNAKE_CASE__								=	True
		SCREAMING_SNAKE_CASE__								=	False
		SCREAMING_SNAKE_CASE__								=	'tokenizer_file'
		SCREAMING_SNAKE_CASE__								=	{'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						super().setUp()
						lowerCAmelCase__		  =  BloomTokenizerFast.from_pretrained('bigscience/tokenizer'						)
						tokenizer.save_pretrained(self.tmpdirname						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,**a_						):







						"""simple docstring"""
						kwargs.update(self.special_tokens_map						)
						return BloomTokenizerFast.from_pretrained(self.tmpdirname    ,**a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_rust_tokenizer()

						lowerCAmelCase__		  =  ['The quick brown fox</s>', 'jumps over the lazy dog</s>']
						lowerCAmelCase__		  =  [[2175, 2_3714, 7_3173, 14_4252, 2], [77, 13_2619, 3478, 368, 10_9586, 3_5433, 2]]

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

						lowerCAmelCase__		  =  tokenizer.batch_decode(a_						)
						self.assertListEqual(a_    ,a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_=6						):







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

														lowerCAmelCase__		  =  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 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_rust_tokenizer()
						lowerCAmelCase__		  =  load_dataset('xnli'    ,'all_languages'    ,split='test'    ,streaming=a_						)

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

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



		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						# 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						)





import random
from typing import Any







def     UpperCAmelCase_		(					snake_case__					)	->     list[Any]:



				"""simple docstring"""





				for _ in range(len(snake_case__					)					):
								lowerCAmelCase__		  =  random.randint(0    ,			len(snake_case__					) - 1					)
								lowerCAmelCase__		  =  random.randint(0    ,			len(snake_case__					) - 1					)
								lowerCAmelCase__  ,   lowerCAmelCase__		  =  data[b], data[a]
				return data


if __name__ == "__main__":
	_lowerCAmelCase	:   int    =   [0, 1, 2, 3, 4, 5, 6, 7]
	_lowerCAmelCase	:   Optional[Any]    =   ["python", "says", "hello", "!"]
	print("Fisher-Yates Shuffle:")
	print("List", integers, strings)
	print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
