





'''simple docstring'''





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 SCREAMING_SNAKE_CASE_ (					lowercase__							,       unittest.TestCase   ):





					"""simple docstring"""


					A__				 =    CanineTokenizer
					A__				 =    False





					def 					__magic_name__ ( self	):
										super().setUp()
										lowerCamelCase__       =       CanineTokenizer()
										tokenizer.save_pretrained(self.tmpdirname	)





					@cached_property
					def 					__magic_name__ ( self	):
										return CanineTokenizer.from_pretrained("google/canine-s"	)





					def 					__magic_name__ ( self	,  **_lowerCAmelCase	):
										lowerCamelCase__       =       self.tokenizer_class.from_pretrained(self.tmpdirname	,  **__lowercase	)
										lowerCamelCase__       =       1024
										return tokenizer





					@require_torch
					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.canine_tokenizer
										lowerCamelCase__       =       ["Life is like a box of chocolates.", "You never know what you're gonna get."]
										# fmt: off
										lowerCamelCase__       =       [5_7344, 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, 5_7345, 0, 0, 0, 0]
										# fmt: on
										lowerCamelCase__       =       tokenizer(__lowercase	,  padding=__lowercase	,  return_tensors="pt"	)
										self.assertIsInstance(__lowercase	,  __lowercase	)

										lowerCamelCase__       =       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 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.canine_tokenizer
										lowerCamelCase__       =       ["Once there was a man.", "He wrote a test in HuggingFace Tranformers."]
										lowerCamelCase__       =       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 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.canine_tokenizer
										lowerCamelCase__       =       [
										    "What's the weater?",
										    "It's about 25 degrees.",
										]
										lowerCamelCase__       =       tokenizer(
										    text_target=__lowercase	,  max_length=32	,  padding="max_length"	,  truncation=__lowercase	,  return_tensors="pt"	)
										self.assertEqual(32	,  targets["input_ids"].shape[1]	)





					def 					__magic_name__ ( self	):
										# safety check on max_len default value so we are sure the test works
										lowerCamelCase__       =       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
										lowerCamelCase__       =       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
																				lowerCamelCase__       =       tempfile.mkdtemp()

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

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

																				shutil.rmtree(__lowercase	)

										lowerCamelCase__       =       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
																				lowerCamelCase__       =       tempfile.mkdtemp()

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

																				lowerCamelCase__       =       tokenizer.additional_special_tokens

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

																				lowerCamelCase__       =       tokenizer.__class__.from_pretrained(__lowercase	)
																				lowerCamelCase__       =       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	)

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

																				shutil.rmtree(__lowercase	)





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

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

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

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

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

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





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

																				lowerCamelCase__       =       tokenizer.tokenize(__lowercase	)
																				lowerCamelCase__       =       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 					__magic_name__ ( self	):
										lowerCamelCase__       =       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:
																				lowerCamelCase__       =       0Xe006
																				lowerCamelCase__       =       chr(__lowercase	)

																				lowerCamelCase__       =       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 					__magic_name__ ( self	):
										lowerCamelCase__       =       []
										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:
																									lowerCamelCase__       =       json.load(__lowercase	)

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

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

																				lowerCamelCase__       =       [new_token_a]
																				lowerCamelCase__       =       [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
																				lowerCamelCase__       =       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]	)	)	,  )

																				lowerCamelCase__       =       0Xe007
																				lowerCamelCase__       =       chr(__lowercase	)
																				# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																				lowerCamelCase__       =       [AddedToken(__lowercase	,  lstrip=__lowercase	)]
																				lowerCamelCase__       =       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 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.get_tokenizers(do_lower_case=__lowercase	)
										for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"	):
																				lowerCamelCase__       =       "hello world"
																				if self.space_between_special_tokens:
																									lowerCamelCase__       =       "[CLS] hello world [SEP]"
																				else:
																									lowerCamelCase__       =       input
																				lowerCamelCase__       =       tokenizer.encode(__lowercase	,  add_special_tokens=__lowercase	)
																				lowerCamelCase__       =       tokenizer.decode(__lowercase	,  spaces_between_special_tokens=self.space_between_special_tokens	)
																				self.assertIn(__lowercase	,  [output, output.lower()]	)





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

										lowerCamelCase__       =       "a"
										lowerCamelCase__       =       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"	)	,  []	)

										lowerCamelCase__       =       0Xe006
										lowerCamelCase__       =       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 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										pass






					def 					__magic_name__ ( self	):
										pass








def    __UpperCamelCase      (    a,     a,     a=False) ->Dict:

					if isinstance(a,     a) and isinstance(a,     a):
										lowerCamelCase__       =       len(set_a.intersection(a))

										if alternative_union:
															lowerCamelCase__       =       len(a) + len(a)
										else:
															lowerCamelCase__       =       len(set_a.union(a))

										return intersection / union

					if isinstance(a,     (list, tuple)) and isinstance(a,     (list, tuple)):
										lowerCamelCase__       =       [element for element in set_a if element in set_b]

										if alternative_union:
															lowerCamelCase__       =       len(a) + len(a)
															return len(a) / union
										else:
															lowerCamelCase__       =       set_a + [element for element in set_b if element not in set_a]
															return len(a) / len(a)

										return len(a) / len(a)
					return None


if __name__ == "__main__":
						A_												=     {"a", "b", "c", "d", "e"}
						A_												=     {"c", "d", "e", "f", "h", "i"}
						print(jaccard_similarity(set_a, set_b))

