



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   ( _UpperCAmelCase    ,					unittest.TestCase			):






			"""simple docstring"""





			lowercase__      :  List[Any]      =			CanineTokenizer
			lowercase__      :  str      =			False





			def 		snake_case__			(				self	:       Optional[int]   )						->					Any:
									"""simple docstring"""







									super().setUp()
									__lowercase					=				CanineTokenizer()
									tokenizer.save_pretrained(self.tmpdirname   )





			@cached_property
			def 		snake_case__			(				self	:       Union[str, Any]   )						->					int:
									"""simple docstring"""







									return CanineTokenizer.from_pretrained("""google/canine-s"""   )





			def 		snake_case__			(				self	:       List[Any]			,     **lowercase	:       Any   )						->					CanineTokenizer:
									"""simple docstring"""







									__lowercase					=				self.tokenizer_class.from_pretrained(self.tmpdirname			,     **lowercase   )
									__lowercase					=				1_024
									return tokenizer





			@require_torch
			def 		snake_case__			(				self	:       Optional[int]   )						->					Optional[Any]:
									"""simple docstring"""







									__lowercase					=				self.canine_tokenizer
									__lowercase					=				["""Life is like a box of chocolates.""", """You never know what you're gonna get."""]
									# fmt: off
									__lowercase					=				[57_344, 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, 57_345, 0, 0, 0, 0]
									# fmt: on
									__lowercase					=				tokenizer(lowercase			,     padding=lowercase			,     return_tensors="""pt"""   )
									self.assertIsInstance(lowercase			,     lowercase   )

									__lowercase					=				list(batch.input_ids.numpy()[0]   )

									self.assertListEqual(lowercase			,     lowercase   )

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





			@require_torch
			def 		snake_case__			(				self	:       Tuple   )						->					Any:
									"""simple docstring"""







									__lowercase					=				self.canine_tokenizer
									__lowercase					=				["""Once there was a man.""", """He wrote a test in HuggingFace Tranformers."""]
									__lowercase					=				tokenizer(lowercase			,     padding=lowercase			,     return_tensors="""pt"""   )
									# check if input_ids, attention_mask and token_type_ids are returned
									self.assertIn("""input_ids"""			,     lowercase   )
									self.assertIn("""attention_mask"""			,     lowercase   )
									self.assertIn("""token_type_ids"""			,     lowercase   )





			@require_torch
			def 		snake_case__			(				self	:       int   )						->					Optional[int]:
									"""simple docstring"""







									__lowercase					=				self.canine_tokenizer
									__lowercase					=				[
									    """What's the weater?""",
									    """It's about 25 degrees.""",
									]
									__lowercase					=				tokenizer(
									    text_target=lowercase			,     max_length=32			,     padding="""max_length"""			,     truncation=lowercase			,     return_tensors="""pt"""   )
									self.assertEqual(32			,     targets["""input_ids"""].shape[1]   )





			def 		snake_case__			(				self	:       int   )						->					List[str]:
									"""simple docstring"""







									__lowercase					=				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
									__lowercase					=				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
																					__lowercase					=				tempfile.mkdtemp()

																					__lowercase					=				""" He is very happy, UNwant\u00E9d,running"""
																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					tokenizer.save_pretrained(lowercase   )

																					__lowercase					=				tokenizer.__class__.from_pretrained(lowercase   )
																					__lowercase					=				after_tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					self.assertListEqual(lowercase			,     lowercase   )

																					shutil.rmtree(lowercase   )

									__lowercase					=				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
																					__lowercase					=				tempfile.mkdtemp()

																					__lowercase					=				""" He is very happy, UNwant\u00E9d,running"""

																					__lowercase					=				tokenizer.additional_special_tokens

																					# We can add a new special token for Canine as follows:
																					__lowercase					=				chr(0Xe007   )
																					additional_special_tokens.append(lowercase   )
																					tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}   )
																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					tokenizer.save_pretrained(lowercase   )

																					__lowercase					=				tokenizer.__class__.from_pretrained(lowercase   )
																					__lowercase					=				after_tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					self.assertListEqual(lowercase			,     lowercase   )
																					self.assertIn(lowercase			,     after_tokenizer.additional_special_tokens   )
																					self.assertEqual(after_tokenizer.model_max_length			,     42   )

																					__lowercase					=				tokenizer.__class__.from_pretrained(lowercase			,     model_max_length=43   )
																					self.assertEqual(tokenizer.model_max_length			,     43   )

																					shutil.rmtree(lowercase   )





			def 		snake_case__			(				self	:       Dict   )						->					Optional[Any]:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers(do_lower_case=lowercase   )
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					__lowercase	,			__lowercase					=				self.get_clean_sequence(lowercase   )

																					# a special token for Canine can be defined as follows:
																					__lowercase					=				0Xe005
																					__lowercase					=				chr(lowercase   )

																					tokenizer.add_special_tokens({"""cls_token""": special_token}   )
																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					self.assertEqual(len(lowercase   )			,     1   )

																					__lowercase					=				tokenizer.decode(ids + encoded_special_token			,     clean_up_tokenization_spaces=lowercase   )
																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )

																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					self.assertEqual(lowercase			,     input_encoded + special_token_id   )

																					__lowercase					=				tokenizer.decode(lowercase			,     skip_special_tokens=lowercase   )
																					self.assertTrue(special_token not in decoded   )





			def 		snake_case__			(				self	:       Union[str, Any]   )						->					str:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers(do_lower_case=lowercase   )
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					__lowercase					=				chr(0Xe005   )
																					__lowercase					=				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=lowercase   )
																					# `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]}   )

																					__lowercase					=				tokenizer.tokenize(lowercase   )
																					__lowercase					=				tokenizer.tokenize(lowercase   )

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





			@require_tokenizers
			def 		snake_case__			(				self	:       str   )						->					int:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers(do_lower_case=lowercase   )
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					# a special token for Canine can be defined as follows:
																					__lowercase					=				0Xe006
																					__lowercase					=				chr(lowercase   )

																					__lowercase					=				AddedToken(lowercase			,     lstrip=lowercase   )
																					tokenizer.add_special_tokens({"""additional_special_tokens""": [new_token]}   )

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





			def 		snake_case__			(				self	:       str   )						->					List[str]:
									"""simple docstring"""







									__lowercase					=				[]
									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(lowercase   )

																					with open(os.path.join(lowercase			,     """special_tokens_map.json"""   )			,     encoding="""utf-8"""   ) as json_file:
																											__lowercase					=				json.load(lowercase   )

																					with open(os.path.join(lowercase			,     """tokenizer_config.json"""   )			,     encoding="""utf-8"""   ) as json_file:
																											__lowercase					=				json.load(lowercase   )

																					# a special token for Canine can be defined as follows:
																					__lowercase					=				0Xe006
																					__lowercase					=				chr(lowercase   )

																					__lowercase					=				[new_token_a]
																					__lowercase					=				[new_token_a]

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

																					# 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
																					__lowercase					=				tokenizer_class.from_pretrained(lowercase			,     extra_ids=0   )
																					self.assertIn(lowercase			,     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]   )   )			,     )

																					__lowercase					=				0Xe007
																					__lowercase					=				chr(lowercase   )
																					# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																					__lowercase					=				[AddedToken(lowercase			,     lstrip=lowercase   )]
																					__lowercase					=				tokenizer_class.from_pretrained(
																					    lowercase			,     additional_special_tokens=lowercase			,     extra_ids=0   )

																					self.assertIn(lowercase			,     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 		snake_case__			(				self	:       Tuple   )						->					Optional[Any]:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers(do_lower_case=lowercase   )
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					__lowercase					=				"""hello world"""
																					if self.space_between_special_tokens:
																											__lowercase					=				"""[CLS] hello world [SEP]"""
																					else:
																											__lowercase					=				input
																					__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
																					__lowercase					=				tokenizer.decode(lowercase			,     spaces_between_special_tokens=self.space_between_special_tokens   )
																					self.assertIn(lowercase			,     [output, output.lower()]   )





			def 		snake_case__			(				self	:       Any   )						->					Union[str, Any]:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers()
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					__lowercase					=				[
																					    """bos_token""",
																					    """eos_token""",
																					    """unk_token""",
																					    """sep_token""",
																					    """pad_token""",
																					    """cls_token""",
																					    """mask_token""",
																					]

									__lowercase					=				"""a"""
									__lowercase					=				ord(lowercase   )

									for attr in attributes_list:
															setattr(lowercase			,     attr + """_id"""			,     lowercase   )
															self.assertEqual(getattr(lowercase			,     lowercase   )			,     lowercase   )
															self.assertEqual(getattr(lowercase			,     attr + """_id"""   )			,     lowercase   )

															setattr(lowercase			,     attr + """_id"""			,     lowercase   )
															self.assertEqual(getattr(lowercase			,     lowercase   )			,     lowercase   )
															self.assertEqual(getattr(lowercase			,     attr + """_id"""   )			,     lowercase   )

									setattr(lowercase			,     """additional_special_tokens_ids"""			,     []   )
									self.assertListEqual(getattr(lowercase			,     """additional_special_tokens"""   )			,     []   )
									self.assertListEqual(getattr(lowercase			,     """additional_special_tokens_ids"""   )			,     []   )

									__lowercase					=				0Xe006
									__lowercase					=				chr(lowercase   )
									setattr(lowercase			,     """additional_special_tokens_ids"""			,     [additional_special_token_id]   )
									self.assertListEqual(getattr(lowercase			,     """additional_special_tokens"""   )			,     [additional_special_token]   )
									self.assertListEqual(getattr(lowercase			,     """additional_special_tokens_ids"""   )			,     [additional_special_token_id]   )





			def 		snake_case__			(				self	:       int   )						->					Optional[int]:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       List[Any]   )						->					Tuple:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       Tuple   )						->					Dict:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       Optional[int]   )						->					List[str]:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       List[Any]   )						->					Any:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       List[Any]   )						->					Optional[int]:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       List[Any]   )						->					Dict:
									"""simple docstring"""







									pass







			def 		snake_case__			(				self	:       Any   )						->					Tuple:
									"""simple docstring"""







									pass










def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__   ) ->      float:
						__lowercase					=				(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
						# formula for sum of series
						return total






def  UpperCAmelCase__    (    ) ->      List[str]:
						print(sum_of_series(1						,       1						,       10   )   )


if __name__ == "__main__":
			import doctest

			doctest.testmod()





