






import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin
class     lowerCamelCase_					(   lowerCamelCase      ,					unittest.TestCase			):
				a__       							=	CanineTokenizer
				a__       							=	False







				def       A						(    self  ):
								"""simple docstring"""
								super().setUp()
								__magic_name__		:Any   =   CanineTokenizer()
								tokenizer.save_pretrained(self.tmpdirname  )







				@cached_property
				def       A						(    self  ):
								"""simple docstring"""
								return CanineTokenizer.from_pretrained('''google/canine-s'''  )







				def       A						(    self							,       **__lowerCAmelCase  ):
								"""simple docstring"""
								__magic_name__		:str   =   self.tokenizer_class.from_pretrained(self.tmpdirname							,       **__lowerCAmelCase  )
								__magic_name__		:List[Any]   =   1_0_2_4
								return tokenizer







				@require_torch
				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[Any]   =   self.canine_tokenizer
								__magic_name__		:int   =   ['''Life is like a box of chocolates.''', '''You never know what you\'re gonna get.''']
								# fmt: off
								__magic_name__		:Tuple   =   [5_7_3_4_4, 7_6, 1_0_5, 1_0_2, 1_0_1, 3_2, 1_0_5, 1_1_5, 3_2, 1_0_8, 1_0_5, 1_0_7, 1_0_1, 3_2, 9_7, 3_2, 9_8, 1_1_1, 1_2_0, 3_2, 1_1_1, 1_0_2, 3_2, 9_9, 1_0_4, 1_1_1, 9_9, 1_1_1, 1_0_8, 9_7, 1_1_6, 1_0_1, 1_1_5, 4_6, 5_7_3_4_5, 0, 0, 0, 0]
								# fmt: on
								__magic_name__		:int   =   tokenizer(__lowerCAmelCase							,       padding=__lowerCAmelCase							,       return_tensors='''pt'''  )
								self.assertIsInstance(__lowerCAmelCase							,       __lowerCAmelCase  )

								__magic_name__		:Union[str, Any]   =   list(batch.input_ids.numpy()[0]  )

								self.assertListEqual(__lowerCAmelCase							,       __lowerCAmelCase  )

								self.assertEqual((2, 3_9)							,       batch.input_ids.shape  )
								self.assertEqual((2, 3_9)							,       batch.attention_mask.shape  )







				@require_torch
				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[Any]   =   self.canine_tokenizer
								__magic_name__		:Optional[int]   =   ['''Once there was a man.''', '''He wrote a test in HuggingFace Tranformers.''']
								__magic_name__		:Any   =   tokenizer(__lowerCAmelCase							,       padding=__lowerCAmelCase							,       return_tensors='''pt'''  )
								# check if input_ids, attention_mask and token_type_ids are returned
								self.assertIn('''input_ids'''							,       __lowerCAmelCase  )
								self.assertIn('''attention_mask'''							,       __lowerCAmelCase  )
								self.assertIn('''token_type_ids'''							,       __lowerCAmelCase  )







				@require_torch
				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Any   =   self.canine_tokenizer
								__magic_name__		:Dict   =   [
								    '''What\'s the weater?''',
								    '''It\'s about 25 degrees.''',
								]
								__magic_name__		:Tuple   =   tokenizer(
								    text_target=__lowerCAmelCase							,       max_length=3_2							,       padding='''max_length'''							,       truncation=__lowerCAmelCase							,       return_tensors='''pt'''  )
								self.assertEqual(3_2							,       targets['''input_ids'''].shape[1]  )







				def       A						(    self  ):
								"""simple docstring"""
								# safety check on max_len default value so we are sure the test works
								__magic_name__		:Any   =   self.get_tokenizers()
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																self.assertNotEqual(tokenizer.model_max_length							,       4_2  )

        # Now let's start the test
								__magic_name__		:Optional[Any]   =   self.get_tokenizers()
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																# Isolate this from the other tests because we save additional tokens/etc
																__magic_name__		:List[Any]   =   tempfile.mkdtemp()

																__magic_name__		:Optional[int]   =   ''' He is very happy, UNwant\u00E9d,running'''
																__magic_name__		:Optional[Any]   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																tokenizer.save_pretrained(__lowerCAmelCase  )

																__magic_name__		:Union[str, Any]   =   tokenizer.__class__.from_pretrained(__lowerCAmelCase  )
																__magic_name__		:List[Any]   =   after_tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																self.assertListEqual(__lowerCAmelCase							,       __lowerCAmelCase  )

																shutil.rmtree(__lowerCAmelCase  )

								__magic_name__		:int   =   self.get_tokenizers(model_max_length=4_2  )
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																# Isolate this from the other tests because we save additional tokens/etc
																__magic_name__		:Any   =   tempfile.mkdtemp()

																__magic_name__		:List[Any]   =   ''' He is very happy, UNwant\u00E9d,running'''

																__magic_name__		:Union[str, Any]   =   tokenizer.additional_special_tokens

																# We can add a new special token for Canine as follows:
																__magic_name__		:Optional[Any]   =   chr(0XE007  )
																additional_special_tokens.append(__lowerCAmelCase  )
																tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}  )
																__magic_name__		:str   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																tokenizer.save_pretrained(__lowerCAmelCase  )

																__magic_name__		:List[str]   =   tokenizer.__class__.from_pretrained(__lowerCAmelCase  )
																__magic_name__		:Optional[int]   =   after_tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																self.assertListEqual(__lowerCAmelCase							,       __lowerCAmelCase  )
																self.assertIn(__lowerCAmelCase							,       after_tokenizer.additional_special_tokens  )
																self.assertEqual(after_tokenizer.model_max_length							,       4_2  )

																__magic_name__		:Any   =   tokenizer.__class__.from_pretrained(__lowerCAmelCase							,       model_max_length=4_3  )
																self.assertEqual(tokenizer.model_max_length							,       4_3  )

																shutil.rmtree(__lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Tuple   =   self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																__magic_name__  ,					__magic_name__		:Any   =   self.get_clean_sequence(__lowerCAmelCase  )

																# a special token for Canine can be defined as follows:
																__magic_name__		:str   =   0XE005
																__magic_name__		:Dict   =   chr(__lowerCAmelCase  )

																tokenizer.add_special_tokens({'''cls_token''': special_token}  )
																__magic_name__		:Dict   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																self.assertEqual(len(__lowerCAmelCase  )							,       1  )

																__magic_name__		:Tuple   =   tokenizer.decode(ids + encoded_special_token							,       clean_up_tokenization_spaces=__lowerCAmelCase  )
																__magic_name__		:Any   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )

																__magic_name__		:Any   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																__magic_name__		:Optional[Any]   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																self.assertEqual(__lowerCAmelCase							,       input_encoded + special_token_id  )

																__magic_name__		:List[str]   =   tokenizer.decode(__lowerCAmelCase							,       skip_special_tokens=__lowerCAmelCase  )
																self.assertTrue(special_token not in decoded  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Union[str, Any]   =   self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																__magic_name__		:Dict   =   chr(0XE005  )
																__magic_name__		:Optional[Any]   =   chr(0XE006  )

																# `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
																tokenizer.add_tokens([SPECIAL_TOKEN_1]							,       special_tokens=__lowerCAmelCase  )
																# `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
																# which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
																tokenizer.add_special_tokens({'''additional_special_tokens''': [SPECIAL_TOKEN_2]}  )

																__magic_name__		:Union[str, Any]   =   tokenizer.tokenize(__lowerCAmelCase  )
																__magic_name__		:Optional[int]   =   tokenizer.tokenize(__lowerCAmelCase  )

																self.assertEqual(len(__lowerCAmelCase  )							,       1  )
																self.assertEqual(len(__lowerCAmelCase  )							,       1  )
																self.assertEqual(token_a[0]							,       __lowerCAmelCase  )
																self.assertEqual(token_a[0]							,       __lowerCAmelCase  )







				@require_tokenizers
				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Dict   =   self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																# a special token for Canine can be defined as follows:
																__magic_name__		:int   =   0XE006
																__magic_name__		:Dict   =   chr(__lowerCAmelCase  )

																__magic_name__		:Union[str, Any]   =   AddedToken(__lowerCAmelCase							,       lstrip=__lowerCAmelCase  )
																tokenizer.add_special_tokens({'''additional_special_tokens''': [new_token]}  )

																with tempfile.TemporaryDirectory() as tmp_dir_name:
																				tokenizer.save_pretrained(__lowerCAmelCase  )
																				tokenizer.from_pretrained(__lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Optional[Any]   =   []
								if self.test_slow_tokenizer:
												tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

								if self.test_rust_tokenizer:
												tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

								for tokenizer_class, tokenizer_utils in tokenizer_list:
												with tempfile.TemporaryDirectory() as tmp_dir:
																tokenizer_utils.save_pretrained(__lowerCAmelCase  )

																with open(os.path.join(__lowerCAmelCase							,       '''special_tokens_map.json'''  )							,       encoding='''utf-8'''  ) as json_file:
																				__magic_name__		:Union[str, Any]   =   json.load(__lowerCAmelCase  )

																with open(os.path.join(__lowerCAmelCase							,       '''tokenizer_config.json'''  )							,       encoding='''utf-8'''  ) as json_file:
																				__magic_name__		:Union[str, Any]   =   json.load(__lowerCAmelCase  )

																# a special token for Canine can be defined as follows:
																__magic_name__		:int   =   0XE006
																__magic_name__		:Union[str, Any]   =   chr(__lowerCAmelCase  )

																__magic_name__		:Optional[int]   =   [new_token_a]
																__magic_name__		:List[str]   =   [new_token_a]

																with open(os.path.join(__lowerCAmelCase							,       '''special_tokens_map.json'''  )							,       '''w'''							,       encoding='''utf-8'''  ) as outfile:
																				json.dump(__lowerCAmelCase							,       __lowerCAmelCase  )
																with open(os.path.join(__lowerCAmelCase							,       '''tokenizer_config.json'''  )							,       '''w'''							,       encoding='''utf-8'''  ) as outfile:
																				json.dump(__lowerCAmelCase							,       __lowerCAmelCase  )

																# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																# "special_tokens_map.json" files
																__magic_name__		:Optional[Any]   =   tokenizer_class.from_pretrained(__lowerCAmelCase							,       extra_ids=0  )
																self.assertIn(__lowerCAmelCase							,       tokenizer_without_change_in_init.additional_special_tokens  )
																# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																self.assertEqual(
																    [new_token_a]							,       tokenizer_without_change_in_init.convert_ids_to_tokens(
																        tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]  )  )							,       )

																__magic_name__		:Union[str, Any]   =   0XE007
																__magic_name__		:Tuple   =   chr(__lowerCAmelCase  )
																# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																__magic_name__		:Dict   =   [AddedToken(__lowerCAmelCase							,       lstrip=__lowerCAmelCase  )]
																__magic_name__		:Optional[int]   =   tokenizer_class.from_pretrained(
																    __lowerCAmelCase							,       additional_special_tokens=__lowerCAmelCase							,       extra_ids=0  )

																self.assertIn(__lowerCAmelCase							,       tokenizer.additional_special_tokens  )
																# self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
																self.assertEqual(
																    [new_token_a]							,       tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]  )  )  )







				@require_tokenizers
				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Optional[int]   =   self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																__magic_name__		:Optional[int]   =   '''hello world'''
																if self.space_between_special_tokens:
																				__magic_name__		:Optional[Any]   =   '''[CLS] hello world [SEP]'''
																else:
																				__magic_name__		:Dict   =   input
																__magic_name__		:List[Any]   =   tokenizer.encode(__lowerCAmelCase							,       add_special_tokens=__lowerCAmelCase  )
																__magic_name__		:List[Any]   =   tokenizer.decode(__lowerCAmelCase							,       spaces_between_special_tokens=self.space_between_special_tokens  )
																self.assertIn(__lowerCAmelCase							,       [output, output.lower()]  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Optional[Any]   =   self.get_tokenizers()
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																__magic_name__		:str   =   [
																    '''bos_token''',
																    '''eos_token''',
																    '''unk_token''',
																    '''sep_token''',
																    '''pad_token''',
																    '''cls_token''',
																    '''mask_token''',
																]

								__magic_name__		:Tuple   =   '''a'''
								__magic_name__		:str   =   ord(__lowerCAmelCase  )

								for attr in attributes_list:
												setattr(__lowerCAmelCase							,       attr + '''_id'''							,       __lowerCAmelCase  )
												self.assertEqual(getattr(__lowerCAmelCase							,       __lowerCAmelCase  )							,       __lowerCAmelCase  )
												self.assertEqual(getattr(__lowerCAmelCase							,       attr + '''_id'''  )							,       __lowerCAmelCase  )

												setattr(__lowerCAmelCase							,       attr + '''_id'''							,       __lowerCAmelCase  )
												self.assertEqual(getattr(__lowerCAmelCase							,       __lowerCAmelCase  )							,       __lowerCAmelCase  )
												self.assertEqual(getattr(__lowerCAmelCase							,       attr + '''_id'''  )							,       __lowerCAmelCase  )

								setattr(__lowerCAmelCase							,       '''additional_special_tokens_ids'''							,       []  )
								self.assertListEqual(getattr(__lowerCAmelCase							,       '''additional_special_tokens'''  )							,       []  )
								self.assertListEqual(getattr(__lowerCAmelCase							,       '''additional_special_tokens_ids'''  )							,       []  )

								__magic_name__		:str   =   0XE006
								__magic_name__		:Optional[Any]   =   chr(__lowerCAmelCase  )
								setattr(__lowerCAmelCase							,       '''additional_special_tokens_ids'''							,       [additional_special_token_id]  )
								self.assertListEqual(getattr(__lowerCAmelCase							,       '''additional_special_tokens'''  )							,       [additional_special_token]  )
								self.assertListEqual(getattr(__lowerCAmelCase							,       '''additional_special_tokens_ids'''  )							,       [additional_special_token_id]  )







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass







				def       A						(    self  ):
								"""simple docstring"""
								pass














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE__   :      Dict				=		{
    """configuration_canine""": ["""CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CanineConfig"""],
    """tokenization_canine""": ["""CanineTokenizer"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :      str				=		[
					    """CANINE_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """CanineForMultipleChoice""",
					    """CanineForQuestionAnswering""",
					    """CanineForSequenceClassification""",
					    """CanineForTokenClassification""",
					    """CanineLayer""",
					    """CanineModel""",
					    """CaninePreTrainedModel""",
					    """load_tf_weights_in_canine""",
					]


if TYPE_CHECKING:
					from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
					from .tokenization_canine import CanineTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_canine import (
										    CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CanineForMultipleChoice,
										    CanineForQuestionAnswering,
										    CanineForSequenceClassification,
										    CanineForTokenClassification,
										    CanineLayer,
										    CanineModel,
										    CaninePreTrainedModel,
										    load_tf_weights_in_canine,
										)


else:
					import sys

					SCREAMING_SNAKE_CASE__   :      Union[str, Any]				=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






