






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










"""simple docstring"""






import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
UpperCamelCase__				:str			   =	logging.getLogger()





def 				A_       ( snake_case__       ,					snake_case__		)					->  Optional[Any]:
			_UpperCamelCase					:Optional[int]					     =	'''\n'''.join(snake_case__		)
			Path(snake_case__		).open('''w'''		).writelines(snake_case__		)


UpperCamelCase__				:Dict			   =	"""patrickvonplaten/t5-tiny-random"""
UpperCamelCase__				:List[Any]			   =	"""sshleifer/bart-tiny-random"""
UpperCamelCase__				:str			   =	"""sshleifer/tiny-mbart"""

UpperCamelCase__				:Any			   =	logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	List[Any]:

					"""simple docstring"""



					_UpperCamelCase					:List[Any]					     =	Path(self.get_auto_remove_tmp_dir()   ) / '''utest_input.source'''
					_UpperCamelCase					:Union[str, Any]					     =	input_file_name.parent / '''utest_output.txt'''
					assert not output_file_name.exists()
					_UpperCamelCase					:int					     =	[''' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.''']
					_dump_articles(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )

					_UpperCamelCase					:str					     =	str(Path(self.get_auto_remove_tmp_dir()   ) / '''scores.json'''   )
					_UpperCamelCase					:Any					     =	'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
					_UpperCamelCase					:Union[str, Any]					     =	f"\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            ".split()

					with patch.object(SCREAMING_SNAKE_CASE__					,				'''argv'''					,				SCREAMING_SNAKE_CASE__   ):
								run_generate()
								assert Path(SCREAMING_SNAKE_CASE__   ).exists()
								# os.remove(Path(output_file_name))
		def   _UpperCamelCase( self   )      ->	Optional[int]:

					"""simple docstring"""



					self.run_eval_tester(SCREAMING_SNAKE_CASE__   )
		@parameterized.expand([BART_TINY, MBART_TINY]   )
		@slow
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	List[str]:

					"""simple docstring"""



					self.run_eval_tester(SCREAMING_SNAKE_CASE__   )





		@parameterized.expand([T5_TINY, MBART_TINY]   )
		@slow
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	Optional[Any]:

					"""simple docstring"""



					_UpperCamelCase					:Dict					     =	Path(self.get_auto_remove_tmp_dir()   ) / '''utest_input.source'''
					_UpperCamelCase					:Any					     =	input_file_name.parent / '''utest_output.txt'''
					assert not output_file_name.exists()

					_UpperCamelCase					:Union[str, Any]					     =	{
					    '''en''': ['''Machine learning is great, isn\'t it?''', '''I like to eat bananas''', '''Tomorrow is another great day!'''],
					    '''de''': [
					        '''Maschinelles Lernen ist großartig, oder?''',
					        '''Ich esse gerne Bananen''',
					        '''Morgen ist wieder ein toller Tag!''',
					    ],
					}

					_UpperCamelCase					:str					     =	Path(self.get_auto_remove_tmp_dir()   )
					_UpperCamelCase					:Optional[int]					     =	str(tmp_dir / '''scores.json'''   )
					_UpperCamelCase					:int					     =	str(tmp_dir / '''val.target'''   )
					_dump_articles(SCREAMING_SNAKE_CASE__					,				text['''en''']   )
					_dump_articles(SCREAMING_SNAKE_CASE__					,				text['''de''']   )
					_UpperCamelCase					:List[str]					     =	'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
					_UpperCamelCase					:str					     =	f"\n            run_eval_search.py\n            {model}\n            {str(SCREAMING_SNAKE_CASE__   )}\n            {str(SCREAMING_SNAKE_CASE__   )}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            ".split()
					testargs.extend(['''--search''', '''num_beams=1:2 length_penalty=0.9:1.0''']   )

					with patch.object(SCREAMING_SNAKE_CASE__					,				'''argv'''					,				SCREAMING_SNAKE_CASE__   ):
								with CaptureStdout() as cs:
											run_search()
								_UpperCamelCase					:Union[str, Any]					     =	[''' num_beams | length_penalty''', model, '''Best score args''']
								_UpperCamelCase					:List[Any]					     =	['''Info''']
								if "translation" in task:
											expected_strings.append('''bleu'''   )
								else:
											expected_strings.extend(SCREAMING_SNAKE_CASE__   )
								for w in expected_strings:
											assert w in cs.out
								for w in un_expected_strings:
											assert w not in cs.out
								assert Path(SCREAMING_SNAKE_CASE__   ).exists()
								os.remove(Path(SCREAMING_SNAKE_CASE__   )   )

