



"""simple docstring"""





import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowercase  							=					logging.get_logger(__name__)


lowercase  							=					{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all BART models at https://huggingface.co/models?filter=bart
lowercase  							=					{
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
}

lowercase  							=					{
    '''facebook/bart-base''': 10_24,
    '''facebook/bart-large''': 10_24,
    '''facebook/bart-large-mnli''': 10_24,
    '''facebook/bart-large-cnn''': 10_24,
    '''facebook/bart-large-xsum''': 10_24,
    '''yjernite/bart_eli5''': 10_24,
}




@lru_cache()
def 	UpperCAmelCase     (		):

		'''simple docstring'''


		_UpperCAmelCase							 =		(
		    list(range(ord('!'       )     ,				ord('~'       ) + 1       )       ) + list(range(ord('¡'       )     ,				ord('¬'       ) + 1       )       ) + list(range(ord('®'       )     ,				ord('ÿ'       ) + 1       )       )
		)
		_UpperCAmelCase							 =		bs[:]
		_UpperCAmelCase							 =		0
		for b in range(2**8       ):
				if b not in bs:
						bs.append(A       )
						cs.append(2**8 + n       )
						n += 1
		_UpperCAmelCase							 =		[chr(A       ) for n in cs]
		return dict(zip(A     ,				A       )       )




def 	UpperCAmelCase     (		A	:						Union[str, Any]       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		set()
		_UpperCAmelCase							 =		word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)       )
				_UpperCAmelCase							 =		char
		return pairs






class 			lowercase__			(      A    ):
							'''simple docstring'''







							_UpperCAmelCase      				=					VOCAB_FILES_NAMES
							_UpperCAmelCase      				=					PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase      				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_UpperCAmelCase      				=					['''input_ids''', '''attention_mask''']






							def __init__(  self	,       snake_case	,       snake_case	,       snake_case="replace"	,       snake_case="<s>"	,       snake_case="</s>"	,       snake_case="</s>"	,       snake_case="<s>"	,       snake_case="<unk>"	,       snake_case="<pad>"	,       snake_case="<mask>"	,       snake_case=False	,       **snake_case	,       )			->							Optional[int]:
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else bos_token
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else eos_token
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else sep_token
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else cls_token
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else unk_token
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else pad_token

									# Mask token behave like a normal word, i.e. include the space before it
									_UpperCAmelCase							 =		AddedToken(snake_case	,       lstrip=snake_case	,       rstrip=snake_case						) if isinstance(snake_case	,       snake_case						) else mask_token

									super().__init__(
									    errors=snake_case	,       bos_token=snake_case	,       eos_token=snake_case	,       unk_token=snake_case	,       sep_token=snake_case	,       cls_token=snake_case	,       pad_token=snake_case	,       mask_token=snake_case	,       add_prefix_space=snake_case	,       **snake_case	,       )

									with open(snake_case	,       encoding='utf-8'						) as vocab_handle:
											_UpperCAmelCase							 =		json.load(snake_case						)
									_UpperCAmelCase							 =		{v: k for k, v in self.encoder.items()}
									_UpperCAmelCase							 =		errors  # how to handle errors in decoding
									_UpperCAmelCase							 =		bytes_to_unicode()
									_UpperCAmelCase							 =		{v: k for k, v in self.byte_encoder.items()}
									with open(snake_case	,       encoding='utf-8'						) as merges_handle:
											_UpperCAmelCase							 =		merges_handle.read().split('\n'						)[1:-1]
									_UpperCAmelCase							 =		[tuple(merge.split()						) for merge in bpe_merges]
									_UpperCAmelCase							 =		dict(zip(snake_case	,       range(len(snake_case						)						)						)						)
									_UpperCAmelCase							 =		{}
									_UpperCAmelCase							 =		add_prefix_space

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									_UpperCAmelCase							 =		re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'						)






							@property
							def        lowerCamelCase_   (  self						)			->							Optional[int]:
									return len(self.encoder						)






							def        lowerCamelCase_   (  self						)			->							List[Any]:
									return dict(self.encoder	,       **self.added_tokens_encoder						)






							def        lowerCamelCase_   (  self	,       snake_case						)			->							Union[str, Any]:
									if token in self.cache:
											return self.cache[token]
									_UpperCAmelCase							 =		tuple(snake_case						)
									_UpperCAmelCase							 =		get_pairs(snake_case						)

									if not pairs:
											return token

									while True:
											_UpperCAmelCase							 =		min(snake_case	,       key=lambda snake_case						: self.bpe_ranks.get(snake_case	,       float('inf'						)						)						)
											if bigram not in self.bpe_ranks:
													break
											_UpperCAmelCase ,					_UpperCAmelCase							 =		bigram
											_UpperCAmelCase							 =		[]
											_UpperCAmelCase							 =		0
											while i < len(snake_case						):
													try:
															_UpperCAmelCase							 =		word.index(snake_case	,       snake_case						)
													except ValueError:
															new_word.extend(word[i:]						)
															break
													else:
															new_word.extend(word[i:j]						)
															_UpperCAmelCase							 =		j

													if word[i] == first and i < len(snake_case						) - 1 and word[i + 1] == second:
															new_word.append(first + second						)
															i += 2
													else:
															new_word.append(word[i]						)
															i += 1
											_UpperCAmelCase							 =		tuple(snake_case						)
											_UpperCAmelCase							 =		new_word
											if len(snake_case						) == 1:
													break
											else:
													_UpperCAmelCase							 =		get_pairs(snake_case						)
									_UpperCAmelCase							 =		' '.join(snake_case						)
									_UpperCAmelCase							 =		word
									return word






							def        lowerCamelCase_   (  self	,       snake_case						)			->							List[Any]:
									_UpperCAmelCase							 =		[]
									for token in re.findall(self.pat	,       snake_case						):
											_UpperCAmelCase							 =		''.join(
											    self.byte_encoder[b] for b in token.encode('utf-8'						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
											bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case						).split(' '						)						)
									return bpe_tokens






							def        lowerCamelCase_   (  self	,       snake_case						)			->							List[str]:
									return self.encoder.get(snake_case	,       self.encoder.get(self.unk_token						)						)






							def        lowerCamelCase_   (  self	,       snake_case						)			->							List[str]:
									return self.decoder.get(snake_case						)






							def        lowerCamelCase_   (  self	,       snake_case						)			->							int:
									_UpperCAmelCase							 =		''.join(snake_case						)
									_UpperCAmelCase							 =		bytearray([self.byte_decoder[c] for c in text]						).decode('utf-8'	,       errors=self.errors						)
									return text






							def        lowerCamelCase_   (  self	,       snake_case	,       snake_case = None						)			->							Tuple[str]:
									if not os.path.isdir(snake_case						):
											logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
											return
									_UpperCAmelCase							 =		os.path.join(
									    snake_case	,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
									_UpperCAmelCase							 =		os.path.join(
									    snake_case	,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

									with open(snake_case	,       'w'	,       encoding='utf-8'						) as f:
											f.write(json.dumps(self.encoder	,       indent=2	,       sort_keys=snake_case	,       ensure_ascii=snake_case						) + '\n'						)

									_UpperCAmelCase							 =		0
									with open(snake_case	,       'w'	,       encoding='utf-8'						) as writer:
											writer.write('#version: 0.2\n'						)
											for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,       key=lambda snake_case						: kv[1]						):
													if index != token_index:
															logger.warning(
															    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
															    ' Please check that the tokenizer is not corrupted!'						)
															_UpperCAmelCase							 =		token_index
													writer.write(' '.join(snake_case						) + '\n'						)
													index += 1

									return vocab_file, merge_file






							def        lowerCamelCase_   (  self	,       snake_case	,       snake_case = None						)			->							List[int]:
									if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									_UpperCAmelCase							 =		[self.cls_token_id]
									_UpperCAmelCase							 =		[self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep






							def        lowerCamelCase_   (  self	,       snake_case	,       snake_case = None	,       snake_case = False						)			->							List[int]:
									if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=snake_case	,       token_ids_a=snake_case	,       already_has_special_tokens=snake_case						)

									if token_ids_a is None:
											return [1] + ([0] * len(snake_case						)) + [1]
									return [1] + ([0] * len(snake_case						)) + [1, 1] + ([0] * len(snake_case						)) + [1]






							def        lowerCamelCase_   (  self	,       snake_case	,       snake_case = None						)			->							List[int]:
									_UpperCAmelCase							 =		[self.sep_token_id]
									_UpperCAmelCase							 =		[self.cls_token_id]

									if token_ids_a is None:
											return len(cls + token_ids_a + sep						) * [0]
									return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]






							def        lowerCamelCase_   (  self	,       snake_case	,       snake_case=False	,       **snake_case						)			->							List[str]:
									_UpperCAmelCase							 =		kwargs.pop('add_prefix_space'	,       self.add_prefix_space						)
									if (is_split_into_words or add_prefix_space) and (len(snake_case						) > 0 and not text[0].isspace()):
											_UpperCAmelCase							 =		' ' + text
									return (text, kwargs)







"""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)
lowercase  							=					logging.getLogger()




def 	UpperCAmelCase     (		A	:						Path     ,				A	:						list       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		'\n'.join(A       )
		Path(A       ).open('w'       ).writelines(A       )


lowercase  							=					'''patrickvonplaten/t5-tiny-random'''
lowercase  							=					'''sshleifer/bart-tiny-random'''
lowercase  							=					'''sshleifer/tiny-mbart'''

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






class 			lowercase__			(      A    ):
							'''simple docstring'''







							def        lowerCamelCase_   (  self	,       snake_case						)			->							str:
									_UpperCAmelCase							 =		Path(self.get_auto_remove_tmp_dir()						) / 'utest_input.source'
									_UpperCAmelCase							 =		input_file_name.parent / 'utest_output.txt'
									assert not output_file_name.exists()
									_UpperCAmelCase							 =		[' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
									_dump_articles(snake_case	,       snake_case						)

									_UpperCAmelCase							 =		str(Path(self.get_auto_remove_tmp_dir()						) / 'scores.json'						)
									_UpperCAmelCase							 =		'translation_en_to_de' if model == T5_TINY else 'summarization'
									_UpperCAmelCase							 =		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(snake_case	,       'argv'	,       snake_case						):
											run_generate()
											assert Path(snake_case						).exists()
											# os.remove(Path(output_file_name))






							def        lowerCamelCase_   (  self						)			->							str:
									self.run_eval_tester(snake_case						)






							@parameterized.expand([BART_TINY, MBART_TINY]						)
							@slow
							def        lowerCamelCase_   (  self	,       snake_case						)			->							List[Any]:
									self.run_eval_tester(snake_case						)






							@parameterized.expand([T5_TINY, MBART_TINY]						)
							@slow
							def        lowerCamelCase_   (  self	,       snake_case						)			->							Dict:
									_UpperCAmelCase							 =		Path(self.get_auto_remove_tmp_dir()						) / 'utest_input.source'
									_UpperCAmelCase							 =		input_file_name.parent / 'utest_output.txt'
									assert not output_file_name.exists()

									_UpperCAmelCase							 =		{
									    '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							 =		Path(self.get_auto_remove_tmp_dir()						)
									_UpperCAmelCase							 =		str(tmp_dir / 'scores.json'						)
									_UpperCAmelCase							 =		str(tmp_dir / 'val.target'						)
									_dump_articles(snake_case	,       text['en']						)
									_dump_articles(snake_case	,       text['de']						)
									_UpperCAmelCase							 =		'translation_en_to_de' if model == T5_TINY else 'summarization'
									_UpperCAmelCase							 =		f'\n            run_eval_search.py\n            {model}\n            {str(snake_case						)}\n            {str(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(snake_case	,       'argv'	,       snake_case						):
											with CaptureStdout() as cs:
													run_search()
											_UpperCAmelCase							 =		[' num_beams | length_penalty', model, 'Best score args']
											_UpperCAmelCase							 =		['Info']
											if "translation" in task:
													expected_strings.append('bleu'						)
											else:
													expected_strings.extend(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(snake_case						).exists()
											os.remove(Path(snake_case						)						)


