"""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    a__    (   _a					,					unittest.TestCase	):
			snake_case_							=      CanineTokenizer
			snake_case_							=      False


			def 	snake_case__	(     self  ):
								'''simple docstring'''



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


			@cached_property
			def 	snake_case__	(     self  ):
								'''simple docstring'''



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


			def 	snake_case__	(     self,				**_UpperCAmelCase  ):
								'''simple docstring'''



								lowercase__				 =							self.tokenizer_class.from_pretrained(self.tmpdirname,				**__lowerCAmelCase  )
								lowercase__				 =							1024
								return tokenizer


			@require_torch
			def 	snake_case__	(     self  ):
								'''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__				 =							[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
								lowercase__				 =							tokenizer(__lowerCAmelCase,				padding=__lowerCAmelCase,				return_tensors="pt"  )
								self.assertIsInstance(__lowerCAmelCase,				__lowerCAmelCase  )

								lowercase__				 =							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 	snake_case__	(     self  ):
								'''simple docstring'''



								lowercase__				 =							self.canine_tokenizer
								lowercase__				 =							["Once there was a man.", "He wrote a test in HuggingFace Tranformers."]
								lowercase__				 =							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 	snake_case__	(     self  ):
								'''simple docstring'''



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


			def 	snake_case__	(     self  ):
								'''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(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )
																		tokenizer.save_pretrained(__lowerCAmelCase  )

																		lowercase__				 =							tokenizer.__class__.from_pretrained(__lowerCAmelCase  )
																		lowercase__				 =							after_tokenizer.encode(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )
																		self.assertListEqual(__lowerCAmelCase,				__lowerCAmelCase  )

																		shutil.rmtree(__lowerCAmelCase  )

								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(__lowerCAmelCase  )
																		tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}  )
																		lowercase__				 =							tokenizer.encode(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )
																		tokenizer.save_pretrained(__lowerCAmelCase  )

																		lowercase__				 =							tokenizer.__class__.from_pretrained(__lowerCAmelCase  )
																		lowercase__				 =							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  )

																		lowercase__				 =							tokenizer.__class__.from_pretrained(__lowerCAmelCase,				model_max_length=43  )
																		self.assertEqual(tokenizer.model_max_length,				43  )

																		shutil.rmtree(__lowerCAmelCase  )


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								lowercase__				 =							self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
																		lowercase__ ,						lowercase__				 =							self.get_clean_sequence(__lowerCAmelCase  )

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

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

																		lowercase__				 =							tokenizer.decode(ids + encoded_special_token,				clean_up_tokenization_spaces=__lowerCAmelCase  )
																		lowercase__				 =							tokenizer.encode(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )

																		lowercase__				 =							tokenizer.encode(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )
																		lowercase__				 =							tokenizer.encode(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )
																		self.assertEqual(__lowerCAmelCase,				input_encoded + special_token_id  )

																		lowercase__				 =							tokenizer.decode(__lowerCAmelCase,				skip_special_tokens=__lowerCAmelCase  )
																		self.assertTrue(special_token not in decoded  )


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								lowercase__				 =							self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								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=__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]}  )

																		lowercase__				 =							tokenizer.tokenize(__lowerCAmelCase  )
																		lowercase__				 =							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 	snake_case__	(     self  ):
								'''simple docstring'''



								lowercase__				 =							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:
																		lowercase__				 =							0Xe006
																		lowercase__				 =							chr(__lowerCAmelCase  )

																		lowercase__				 =							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 	snake_case__	(     self  ):
								'''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(__lowerCAmelCase  )

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

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

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

																		lowercase__				 =							[new_token_a]
																		lowercase__				 =							[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
																		lowercase__				 =							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]  )  ),				)

																		lowercase__				 =							0Xe007
																		lowercase__				 =							chr(__lowerCAmelCase  )
																		# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																		lowercase__				 =							[AddedToken(__lowerCAmelCase,				lstrip=__lowerCAmelCase  )]
																		lowercase__				 =							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 	snake_case__	(     self  ):
								'''simple docstring'''



								lowercase__				 =							self.get_tokenizers(do_lower_case=__lowerCAmelCase  )
								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(__lowerCAmelCase,				add_special_tokens=__lowerCAmelCase  )
																		lowercase__				 =							tokenizer.decode(__lowerCAmelCase,				spaces_between_special_tokens=self.space_between_special_tokens  )
																		self.assertIn(__lowerCAmelCase,				[output, output.lower()]  )


			def 	snake_case__	(     self  ):
								'''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(__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"  ),				[]  )

								lowercase__				 =							0Xe006
								lowercase__				 =							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 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								pass





"""simple docstring"""


from typing import Any

import numpy as np







def 					__a   (		A      ):






     '''simple docstring'''



     return np.array_equal(A    ,				matrix.conjugate().T      )







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__				 =							v.conjugate().T
     lowercase__				 =							v_star.dot(A      )
     assert isinstance(A    ,				np.ndarray      )
     return (v_star_dot.dot(A      )) / (v_star.dot(A      ))







def 					__a   (		):






     '''simple docstring'''



     lowercase__				 =							np.array([[2, 2 + 1j, 4], [2 - 1j, 3, 1j], [4, -1j, 1]]      )
     lowercase__				 =							np.array([[1], [2], [3]]      )
     assert is_hermitian(A      ), f'''{a} is not hermitian.'''
     print(rayleigh_quotient(A    ,				A      )      )

     lowercase__				 =							np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]      )
     assert is_hermitian(A      ), f'''{a} is not hermitian.'''
     assert rayleigh_quotient(A    ,				A      ) == float(3      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 tests()




