

import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


lowerCAmelCase__		      =       get_tests_dir() + """/test_data/fsmt/fsmt_val_data.json"""
with io.open(filename, """r""", encoding="""utf-8""") as f:
	lowerCAmelCase__		      =       json.load(f)

@require_torch
class     a__  (    unittest.TestCase	):
			"""simple docstring"""







			def    UpperCamelCase						(			self					,					lowercase				)     ->  int:
							'''simple docstring'''






							return FSMTTokenizer.from_pretrained(lowercase				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  Optional[int]:
							'''simple docstring'''






							A__						=	FSMTForConditionalGeneration.from_pretrained(lowercase				).to(lowercase				)
							if torch_device == "cuda":
											model.half()
							return model


			@parameterized.expand(
			    [
			        ["en-ru", 26.0],
			        ["ru-en", 22.0],
			        ["en-de", 22.0],
			        ["de-en", 29.0],
			    ]				)
			@slow
			def    UpperCamelCase						(			self					,					lowercase					,					lowercase				)     ->  List[Any]:
							'''simple docstring'''






							A__						=	F'facebook/wmt19-{pair}'
							A__						=	self.get_tokenizer(lowercase				)
							A__						=	self.get_model(lowercase				)

							A__						=	bleu_data[pair]["src"]
							A__						=	bleu_data[pair]["tgt"]

							A__						=	tokenizer(lowercase					,					return_tensors="pt"					,					truncation=lowercase					,					padding="longest"				).to(lowercase				)
							A__						=	model.generate(
							    input_ids=batch.input_ids					,					num_beams=8					,					)
							A__						=	tokenizer.batch_decode(
							    lowercase					,					skip_special_tokens=lowercase					,					clean_up_tokenization_spaces=lowercase				)
							A__						=	calculate_bleu(lowercase					,					lowercase				)
							print(lowercase				)
							self.assertGreaterEqual(scores["bleu"]					,					lowercase				)





'''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


UpperCamelCase__    					=      logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__    					=      {
    '''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''',
    },
}

UpperCamelCase__    					=      {
    '''facebook/bart-base''': 1_0_2_4,
    '''facebook/bart-large''': 1_0_2_4,
    '''facebook/bart-large-mnli''': 1_0_2_4,
    '''facebook/bart-large-cnn''': 1_0_2_4,
    '''facebook/bart-large-xsum''': 1_0_2_4,
    '''yjernite/bart_eli5''': 1_0_2_4,
}





@lru_cache()
def 					a__       (					)    ->	List[Any]:
    UpperCAmelCase__			:		int													=				(
        list(range(ord('''!'''						)  ,					ord('''~'''						) + 1						)						) + list(range(ord('''¡'''						)  ,					ord('''¬'''						) + 1						)						) + list(range(ord('''®'''						)  ,					ord('''ÿ'''						) + 1						)						)
    )
    UpperCAmelCase__			:		Optional[int]													=				bs[:]
    UpperCAmelCase__			:		List[str]													=				0
    for b in range(2**8						):
        if b not in bs:
            bs.append(lowerCAmelCase__						)
            cs.append(2**8 + n						)
            n += 1
    UpperCAmelCase__			:		Any													=				[chr(lowerCAmelCase__						) for n in cs]
    return dict(zip(lowerCAmelCase__  ,					lowerCAmelCase__						)						)





def 					a__       (					lowerCAmelCase__						)    ->	Union[str, Any]:
    UpperCAmelCase__			:		str													=				set()
    UpperCAmelCase__			:		str													=				word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)						)
        UpperCAmelCase__			:		Optional[int]													=				char
    return pairs







class 			lowerCamelCase_   (	__a      ):
      lowerCAmelCase__		     =     VOCAB_FILES_NAMES
      lowerCAmelCase__		     =     PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__		     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__		     =     ['input_ids', 'attention_mask']






      def __init__(					self				:    Optional[int]						,						_A				:    Optional[int]						,						_A				:    List[Any]						,						_A				:    int="replace"						,						_A				:    List[Any]="<s>"						,						_A				:    List[Any]="</s>"						,						_A				:    List[Any]="</s>"						,						_A				:    Optional[int]="<s>"						,						_A				:    List[str]="<unk>"						,						_A				:    List[str]="<pad>"						,						_A				:    Union[str, Any]="<mask>"						,						_A				:    Any=False						,						**_A				:    Dict						,						):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else bos_token
          UpperCAmelCase__			:		Any													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else eos_token
          UpperCAmelCase__			:		Optional[int]													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else sep_token
          UpperCAmelCase__			:		Tuple													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else cls_token
          UpperCAmelCase__			:		int													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else unk_token
          UpperCAmelCase__			:		Optional[Any]													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          UpperCAmelCase__			:		Optional[int]													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else mask_token

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

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

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






      @property
      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          return len(self.encoder )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          return dict(self.encoder						,						**self.added_tokens_encoder )






      def lowercase_							(					self				:    List[Any]						,						_A				:    Tuple ):


          '''simple docstring'''


          if token in self.cache:
              return self.cache[token]
          UpperCAmelCase__			:		Optional[Any]													=				tuple(_A )
          UpperCAmelCase__			:		Dict													=				get_pairs(_A )

          if not pairs:
              return token

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

                  if word[i] == first and i < len(_A ) - 1 and word[i + 1] == second:
                      new_word.append(first + second )
                      i += 2
                  else:
                      new_word.append(word[i] )
                      i += 1
              UpperCAmelCase__			:		Optional[Any]													=				tuple(_A )
              UpperCAmelCase__			:		List[Any]													=				new_word
              if len(_A ) == 1:
                  break
              else:
                  UpperCAmelCase__			:		Union[str, Any]													=				get_pairs(_A )
          UpperCAmelCase__			:		Optional[Any]													=				''' '''.join(_A )
          UpperCAmelCase__			:		List[Any]													=				word
          return word






      def lowercase_							(					self				:    str						,						_A				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[Any]													=				[]
          for token in re.findall(self.pat						,						_A ):
              UpperCAmelCase__			:		str													=				''''''.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(_A ).split(''' ''' ) )
          return bpe_tokens






      def lowercase_							(					self				:    List[str]						,						_A				:    Any ):


          '''simple docstring'''


          return self.encoder.get(_A						,						self.encoder.get(self.unk_token ) )






      def lowercase_							(					self				:    int						,						_A				:    List[str] ):


          '''simple docstring'''


          return self.decoder.get(_A )






      def lowercase_							(					self				:    Tuple						,						_A				:    Any ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				''''''.join(_A )
          UpperCAmelCase__			:		List[str]													=				bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8'''						,						errors=self.errors )
          return text






      def lowercase_							(					self				:    int						,						_A				:    str						,						_A				:    Optional[str] = None ):


          '''simple docstring'''


          if not os.path.isdir(_A ):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
              return
          UpperCAmelCase__			:		Tuple													=				os.path.join(
              _A						,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
          UpperCAmelCase__			:		Any													=				os.path.join(
              _A						,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )

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

          UpperCAmelCase__			:		Union[str, Any]													=				0
          with open(_A						,						'''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 _A : 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__			:		List[str]													=				token_index
                  writer.write(''' '''.join(_A ) + '''\n''' )
                  index += 1

          return vocab_file, merge_file






      def lowercase_							(					self				:    str						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None ):


          '''simple docstring'''


          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          UpperCAmelCase__			:		List[str]													=				[self.cls_token_id]
          UpperCAmelCase__			:		Union[str, Any]													=				[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep






      def lowercase_							(					self				:    Optional[int]						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None						,						_A				:    bool = False ):


          '''simple docstring'''


          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=_A						,						token_ids_a=_A						,						already_has_special_tokens=_A )

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






      def lowercase_							(					self				:    Dict						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[str]													=				[self.sep_token_id]
          UpperCAmelCase__			:		Dict													=				[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 lowercase_							(					self				:    Optional[Any]						,						_A				:    Any						,						_A				:    Dict=False						,						**_A				:    Union[str, Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				kwargs.pop('''add_prefix_space'''						,						self.add_prefix_space )
          if (is_split_into_words or add_prefix_space) and (len(_A ) > 0 and not text[0].isspace()):
              UpperCAmelCase__			:		Tuple													=				''' ''' + text
          return (text, kwargs)
