



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						):
			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       :  List[str])       ->   Dict:



						"""simple docstring"""






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



			def    _lowerCamelCase	(						self       :  Tuple			,		**A       :  str)       ->   Optional[Any]:



						"""simple docstring"""






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



			def    _lowerCamelCase	(						self       :  List[str])       ->   str:



						"""simple docstring"""






						_UpperCAmelCase			=       self.get_rust_tokenizer()

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

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

						_UpperCAmelCase			=       tokenizer.batch_decode(A)
						self.assertListEqual(A			,		A)



			def    _lowerCamelCase	(						self       :  Union[str, Any]			,		A       :  Optional[int]=6)       ->   str:



						"""simple docstring"""






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

												_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  Optional[Any])       ->   Optional[Any]:



						"""simple docstring"""






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

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

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



			def    _lowerCamelCase	(						self       :  int)       ->   str:



						"""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)





from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCAmelCase__       =	{"tokenization_bertweet": ["BertweetTokenizer"]}


if TYPE_CHECKING:
							from .tokenization_bertweet import BertweetTokenizer

else:
							import sys

							UpperCAmelCase__       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
