




from __future__ import annotations

from collections.abc import MutableSequence


class    lowerCamelCase    :






			'''simple docstring'''





			def __init__( self			:   List[str]       ,						lowerCamelCase_			:   Optional[int]       ,						lowerCamelCase_			:   Any  )						->   Optional[Any]:
								if len(_A  ) != degree + 1:
													raise ValueError(
													    '''The number of coefficients should be equal to the degree + 1.'''  )

								__magic_name__							:	List[Any]    							=							list(_A  )
								__magic_name__							:	List[str]    							=							degree

			def __add__( self			:   Union[str, Any]       ,						lowerCamelCase_			:   Optional[Any]  )						->   List[Any]:

								if self.degree > polynomial_a.degree:
													__magic_name__							:	Optional[Any]    							=							self.coefficients[:]
													for i in range(polynomial_a.degree + 1  ):
																		coefficients[i] += polynomial_a.coefficients[i]
													return Polynomial(self.degree       ,						_A  )
								else:
													__magic_name__							:	Optional[int]    							=							polynomial_a.coefficients[:]
													for i in range(self.degree + 1  ):
																		coefficients[i] += self.coefficients[i]
													return Polynomial(polynomial_a.degree       ,						_A  )

			def __sub__( self			:   str       ,						lowerCamelCase_			:   Union[str, Any]  )						->   List[Any]:
								return self + polynomial_a * Polynomial(0       ,						[-1]  )

			def __neg__( self			:   int  )						->   int:
								return Polynomial(self.degree       ,						[-c for c in self.coefficients]  )

			def __mul__( self			:   Union[str, Any]       ,						lowerCamelCase_			:   int  )						->   List[Any]:
								__magic_name__							:	Dict    							=							[0] * (self.degree + polynomial_a.degree + 1)
								for i in range(self.degree + 1  ):
													for j in range(polynomial_a.degree + 1  ):
																		coefficients[i + j] += (
																		    self.coefficients[i] * polynomial_a.coefficients[j]
																		)

								return Polynomial(self.degree + polynomial_a.degree       ,						_A  )

			def 							UpperCAmelCase__       ( self			:   int       ,						lowerCamelCase_			:   List[str]  )						->   Any:
								__magic_name__							:	Tuple    							=							0
								for i in range(self.degree + 1  ):
													result += self.coefficients[i] * (substitution**i)
								return result

			def __str__( self			:   str  )						->   Dict:
								__magic_name__							:	List[str]    							=							''''''
								for i in range(self.degree       ,						-1       ,						-1  ):
													if self.coefficients[i] == 0:
																		continue
													elif self.coefficients[i] > 0:
																		if polynomial:
																							polynomial += " + "
													else:
																		polynomial += " - "

													if i == 0:
																		polynomial += str(abs(self.coefficients[i]  )  )
													elif i == 1:
																		polynomial += str(abs(self.coefficients[i]  )  ) + "x"
													else:
																		polynomial += str(abs(self.coefficients[i]  )  ) + "x^" + str(_A  )

								return polynomial

			def __repr__( self			:   Tuple  )						->   Dict:
								return self.__str__()

			def 							UpperCAmelCase__       ( self			:   Tuple  )						->   Optional[int]:
								__magic_name__							:	List[Any]    							=							[0] * self.degree
								for i in range(self.degree  ):
													__magic_name__							:	int    							=							self.coefficients[i + 1] * (i + 1)
								return Polynomial(self.degree - 1       ,						_A  )

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]       ,						lowerCamelCase_			:   int = 0  )						->   Dict:
								__magic_name__							:	Optional[Any]    							=							[0] * (self.degree + 2)
								__magic_name__							:	str    							=							constant
								for i in range(self.degree + 1  ):
													__magic_name__							:	Optional[int]    							=							self.coefficients[i] / (i + 1)
								return Polynomial(self.degree + 1       ,						_A  )

			def __eq__( self			:   List[Any]       ,						lowerCamelCase_			:   Optional[int]  )						->   Tuple:
								if not isinstance(_A       ,						_A  ):
													return False

								if self.degree != polynomial_a.degree:
													return False

								for i in range(self.degree + 1  ):
													if self.coefficients[i] != polynomial_a.coefficients[i]:
																		return False

								return True


			def __ne__( self			:   Union[str, Any]       ,						lowerCamelCase_			:   Dict  )						->   int:
								return not self.__eq__(_A  )









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						):






			'''simple docstring'''





			UpperCamelCase__								=CanineTokenizer
			UpperCamelCase__								=False

			def 							UpperCAmelCase__       ( self			:   Tuple  )						->   List[str]:
								super().setUp()
								__magic_name__							:	Optional[int]    							=							CanineTokenizer()
								tokenizer.save_pretrained(self.tmpdirname  )

			@cached_property
			def 							UpperCAmelCase__       ( self			:   Optional[int]  )						->   Tuple:
								return CanineTokenizer.from_pretrained('''google/canine-s'''  )

			def 							UpperCAmelCase__       ( self			:   Dict       ,						**lowerCamelCase_			:   Optional[int]  )						->   CanineTokenizer:
								__magic_name__							:	int    							=							self.tokenizer_class.from_pretrained(self.tmpdirname       ,						**lowerCamelCase_  )
								__magic_name__							:	List[str]    							=							1024
								return tokenizer

			@require_torch
			def 							UpperCAmelCase__       ( self			:   int  )						->   int:
								__magic_name__							:	List[Any]    							=							self.canine_tokenizer
								__magic_name__							:	Any    							=							['''Life is like a box of chocolates.''', '''You never know what you\'re gonna get.''']
								# fmt: off
								__magic_name__							:	Optional[int]    							=							[57344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57345, 0, 0, 0, 0]
								# fmt: on
								__magic_name__							:	List[Any]    							=							tokenizer(lowerCamelCase_       ,						padding=lowerCamelCase_       ,						return_tensors='''pt'''  )
								self.assertIsInstance(lowerCamelCase_       ,						lowerCamelCase_  )

								__magic_name__							:	Tuple    							=							list(batch.input_ids.numpy()[0]  )

								self.assertListEqual(lowerCamelCase_       ,						lowerCamelCase_  )

								self.assertEqual((2, 39)       ,						batch.input_ids.shape  )
								self.assertEqual((2, 39)       ,						batch.attention_mask.shape  )

			@require_torch
			def 							UpperCAmelCase__       ( self			:   List[Any]  )						->   Optional[Any]:
								__magic_name__							:	Any    							=							self.canine_tokenizer
								__magic_name__							:	Dict    							=							['''Once there was a man.''', '''He wrote a test in HuggingFace Tranformers.''']
								__magic_name__							:	Dict    							=							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 							UpperCAmelCase__       ( self			:   int  )						->   Optional[int]:
								__magic_name__							:	int    							=							self.canine_tokenizer
								__magic_name__							:	Dict    							=							[
								    '''What\'s the weater?''',
								    '''It\'s about 25 degrees.''',
								]
								__magic_name__							:	List[Any]    							=							tokenizer(
								    text_target=lowerCamelCase_       ,						max_length=32       ,						padding='''max_length'''       ,						truncation=lowerCamelCase_       ,						return_tensors='''pt'''  )
								self.assertEqual(32       ,						targets['''input_ids'''].shape[1]  )

			def 							UpperCAmelCase__       ( self			:   Optional[Any]  )						->   Dict:
								# safety check on max_len default value so we are sure the test works
								__magic_name__							:	str    							=							self.get_tokenizers()
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		self.assertNotEqual(tokenizer.model_max_length       ,						42  )

        # Now let's start the test
								__magic_name__							:	Union[str, 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__							:	str    							=							tempfile.mkdtemp()

																		__magic_name__							:	Any    							=							''' He is very happy, UNwant\u00E9d,running'''
																		__magic_name__							:	str    							=							tokenizer.encode(lowerCamelCase_       ,						add_special_tokens=lowerCamelCase_  )
																		tokenizer.save_pretrained(lowerCamelCase_  )

																		__magic_name__							:	str    							=							tokenizer.__class__.from_pretrained(lowerCamelCase_  )
																		__magic_name__							:	Tuple    							=							after_tokenizer.encode(lowerCamelCase_       ,						add_special_tokens=lowerCamelCase_  )
																		self.assertListEqual(lowerCamelCase_       ,						lowerCamelCase_  )

																		shutil.rmtree(lowerCamelCase_  )

								__magic_name__							:	Any    							=							self.get_tokenizers(model_max_length=42  )
								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__							:	Any    							=							''' He is very happy, UNwant\u00E9d,running'''

																		__magic_name__							:	str    							=							tokenizer.additional_special_tokens

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

																		__magic_name__							:	List[Any]    							=							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       ,						42  )

																		__magic_name__							:	List[Any]    							=							tokenizer.__class__.from_pretrained(lowerCamelCase_       ,						model_max_length=43  )
																		self.assertEqual(tokenizer.model_max_length       ,						43  )

																		shutil.rmtree(lowerCamelCase_  )

			def 							UpperCAmelCase__       ( self			:   int  )						->   Optional[int]:
								__magic_name__							:	Any    							=							self.get_tokenizers(do_lower_case=lowerCamelCase_  )
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		__magic_name__							,    __magic_name__							:	str    							=							self.get_clean_sequence(lowerCamelCase_  )

																		# a special token for Canine can be defined as follows:
																		__magic_name__							:	Optional[Any]    							=							0XE005
																		__magic_name__							:	Optional[Any]    							=							chr(lowerCamelCase_  )

																		tokenizer.add_special_tokens({'''cls_token''': special_token}  )
																		__magic_name__							:	Optional[int]    							=							tokenizer.encode(lowerCamelCase_       ,						add_special_tokens=lowerCamelCase_  )
																		self.assertEqual(len(lowerCamelCase_  )       ,						1  )

																		__magic_name__							:	Union[str, Any]    							=							tokenizer.decode(ids + encoded_special_token       ,						clean_up_tokenization_spaces=lowerCamelCase_  )
																		__magic_name__							:	str    							=							tokenizer.encode(lowerCamelCase_       ,						add_special_tokens=lowerCamelCase_  )

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

																		__magic_name__							:	Any    							=							tokenizer.decode(lowerCamelCase_       ,						skip_special_tokens=lowerCamelCase_  )
																		self.assertTrue(special_token not in decoded  )

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]  )						->   int:
								__magic_name__							:	str    							=							self.get_tokenizers(do_lower_case=lowerCamelCase_  )
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		__magic_name__							:	Tuple    							=							chr(0XE005  )
																		__magic_name__							:	Optional[int]    							=							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__							:	List[str]    							=							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 							UpperCAmelCase__       ( self			:   str  )						->   List[str]:
								__magic_name__							:	List[Any]    							=							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__							:	str    							=							0XE006
																		__magic_name__							:	Optional[int]    							=							chr(lowerCamelCase_  )

																		__magic_name__							:	Optional[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 							UpperCAmelCase__       ( self			:   str  )						->   Optional[Any]:
								__magic_name__							:	Union[str, 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__							:	List[Any]    							=							json.load(lowerCamelCase_  )

																		with open(os.path.join(lowerCamelCase_       ,						'''tokenizer_config.json'''  )       ,						encoding='''utf-8'''  ) as json_file:
																							__magic_name__							:	int    							=							json.load(lowerCamelCase_  )

																		# a special token for Canine can be defined as follows:
																		__magic_name__							:	List[str]    							=							0XE006
																		__magic_name__							:	List[str]    							=							chr(lowerCamelCase_  )

																		__magic_name__							:	int    							=							[new_token_a]
																		__magic_name__							:	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__							:	int    							=							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__							:	Optional[int]    							=							0XE007
																		__magic_name__							:	List[str]    							=							chr(lowerCamelCase_  )
																		# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																		__magic_name__							:	List[str]    							=							[AddedToken(lowerCamelCase_       ,						lstrip=lowerCamelCase_  )]
																		__magic_name__							:	str    							=							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 							UpperCAmelCase__       ( self			:   Any  )						->   List[str]:
								__magic_name__							:	Optional[int]    							=							self.get_tokenizers(do_lower_case=lowerCamelCase_  )
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		__magic_name__							:	Union[str, Any]    							=							'''hello world'''
																		if self.space_between_special_tokens:
																							__magic_name__							:	List[Any]    							=							'''[CLS] hello world [SEP]'''
																		else:
																							__magic_name__							:	List[str]    							=							input
																		__magic_name__							:	Dict    							=							tokenizer.encode(lowerCamelCase_       ,						add_special_tokens=lowerCamelCase_  )
																		__magic_name__							:	Union[str, Any]    							=							tokenizer.decode(lowerCamelCase_       ,						spaces_between_special_tokens=self.space_between_special_tokens  )
																		self.assertIn(lowerCamelCase_       ,						[output, output.lower()]  )

			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   Optional[Any]:
								__magic_name__							:	Dict    							=							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__							:	Any    							=							'''a'''
								__magic_name__							:	List[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__							:	Any    							=							0XE006
								__magic_name__							:	str    							=							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 							UpperCAmelCase__       ( self			:   List[Any]  )						->   Union[str, Any]:
								pass

			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   Optional[int]:
								pass

			def 							UpperCAmelCase__       ( self			:   Tuple  )						->   Any:
								pass

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]  )						->   Optional[Any]:
								pass

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]  )						->   str:
								pass

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]  )						->   Optional[Any]:
								pass

			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   Optional[Any]:
								pass


			def 							UpperCAmelCase__       ( self			:   Any  )						->   Union[str, Any]:
								pass



