

import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int     ,					SCREAMING_SNAKE_CASE_		:   List[Any]     ,					SCREAMING_SNAKE_CASE_		:   int     ,					SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   Tuple=True     ,					SCREAMING_SNAKE_CASE_		:   Optional[int]="pt"      ):



   '''simple docstring'''





   lowercase__   :       Union[str, Any]				=	{'add_prefix_space': True} if isinstance(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ) and not line.startswith(' '      ) else {}
   lowercase__   :       str				=	padding_side
   return tokenizer(
       [line]     ,					max_length=SCREAMING_SNAKE_CASE_     ,					padding='max_length' if pad_to_max_length else None     ,					truncation=SCREAMING_SNAKE_CASE_     ,					return_tensors=SCREAMING_SNAKE_CASE_     ,					add_special_tokens=SCREAMING_SNAKE_CASE_     ,					**SCREAMING_SNAKE_CASE_     ,					)

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Union[str, Any]     ,					SCREAMING_SNAKE_CASE_		:   Union[str, Any]     ,					SCREAMING_SNAKE_CASE_		:   Any=None     ,					):



   '''simple docstring'''





   lowercase__   :       Tuple				=	input_ids.ne(SCREAMING_SNAKE_CASE_      ).any(dim=0      )
   if attention_mask is None:
      return input_ids[:, keep_column_mask]
   else:
      return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):





    def __init__(				self						,       a						,       a						,       a						,       a						,       a="train"						,       a=None						,       a=None						,       a=None						,       a=""						,       ):
       super().__init__()
       lowercase__   :       List[Any]				=	Path(a).joinpath(type_path + '.source')
       lowercase__   :       Any				=	Path(a).joinpath(type_path + '.target')
       lowercase__   :       str				=	self.get_char_lens(self.src_file)
       lowercase__   :       Union[str, Any]				=	max_source_length
       lowercase__   :       Optional[Any]				=	max_target_length
       assert min(self.src_lens) > 0, f"""found empty line in {self.src_file}"""
       lowercase__   :       List[Any]				=	tokenizer
       lowercase__   :       Optional[Any]				=	prefix
       if n_obs is not None:
          lowercase__   :       Optional[Any]				=	self.src_lens[:n_obs]
       lowercase__   :       Optional[Any]				=	src_lang
       lowercase__   :       Any				=	tgt_lang





    def __len__(				self):
       return len(self.src_lens)





    def __getitem__(				self						,       a):
       lowercase__   :       Optional[Any]				=	index + 1  # linecache starts at 1
       lowercase__   :       str				=	self.prefix + linecache.getline(str(self.src_file)						,       a).rstrip('\n')
       lowercase__   :       Optional[Any]				=	linecache.getline(str(self.tgt_file)						,       a).rstrip('\n')
       assert source_line, f"""empty source line for index {index}"""
       assert tgt_line, f"""empty tgt line for index {index}"""

       # Need to add eos token manually for T5
       if isinstance(self.tokenizer						,       a):
          source_line += self.tokenizer.eos_token
          tgt_line += self.tokenizer.eos_token

       # Pad source and target to the right
       lowercase__   :       List[str]				=	(
           self.tokenizer.question_encoder if isinstance(self.tokenizer						,       a) else self.tokenizer
       )
       lowercase__   :       int				=	self.tokenizer.generator if isinstance(self.tokenizer						,       a) else self.tokenizer

       lowercase__   :       Any				=	encode_line(a						,       a						,       self.max_source_length						,       'right')
       lowercase__   :       List[str]				=	encode_line(a						,       a						,       self.max_target_length						,       'right')

       lowercase__   :       List[Any]				=	source_inputs['input_ids'].squeeze()
       lowercase__   :       Optional[int]				=	target_inputs['input_ids'].squeeze()
       lowercase__   :       Optional[int]				=	source_inputs['attention_mask'].squeeze()
       return {
           "input_ids": source_ids,
           "attention_mask": src_mask,
           "decoder_input_ids": target_ids,
       }





    @staticmethod
    def 				snake_case_    (				a):
       return [len(a) for x in Path(a).open().readlines()]





    def 				snake_case_    (				self						,       a):
       lowercase__   :       Dict				=	torch.stack([x['input_ids'] for x in batch])
       lowercase__   :       Tuple				=	torch.stack([x['attention_mask'] for x in batch])
       lowercase__   :       Tuple				=	torch.stack([x['decoder_input_ids'] for x in batch])
       lowercase__   :       List[str]				=	(
           self.tokenizer.generator.pad_token_id
           if isinstance(self.tokenizer						,       a)
           else self.tokenizer.pad_token_id
       )
       lowercase__   :       Union[str, Any]				=	(
           self.tokenizer.question_encoder.pad_token_id
           if isinstance(self.tokenizer						,       a)
           else self.tokenizer.pad_token_id
       )
       lowercase__   :       Dict				=	trim_batch(a						,       a)
       lowercase__   :       Any				=	trim_batch(a						,       a						,       attention_mask=a)
       lowercase__   :       Union[str, Any]				=	{
           'input_ids': source_ids,
           'attention_mask': source_mask,
           'decoder_input_ids': y,
       }
       return batch



snake_case_        =			getLogger(__name__)

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[List]      ):



   '''simple docstring'''





   return list(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE_      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str      ):



   '''simple docstring'''





   lowercase__   :       Dict				=	get_git_info()
   save_json(SCREAMING_SNAKE_CASE_     ,					os.path.join(SCREAMING_SNAKE_CASE_     ,					'git_log.json'      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Any     ,					SCREAMING_SNAKE_CASE_		:   List[str]     ,					SCREAMING_SNAKE_CASE_		:   Dict=4     ,					**SCREAMING_SNAKE_CASE_		:   Any      ):



   '''simple docstring'''





   with open(SCREAMING_SNAKE_CASE_     ,					'w'      ) as f:
      json.dump(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_     ,					indent=SCREAMING_SNAKE_CASE_     ,					**SCREAMING_SNAKE_CASE_      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[str]      ):



   '''simple docstring'''





   with open(SCREAMING_SNAKE_CASE_      ) as f:
      return json.load(SCREAMING_SNAKE_CASE_      )

def      snake_case__      (   ):



   '''simple docstring'''





   lowercase__   :       Any				=	git.Repo(search_parent_directories=SCREAMING_SNAKE_CASE_      )
   lowercase__   :       Union[str, Any]				=	{
       'repo_id': str(SCREAMING_SNAKE_CASE_      ),
       'repo_sha': str(repo.head.object.hexsha      ),
       'repo_branch': str(repo.active_branch      ),
       'hostname': str(socket.gethostname()      ),
   }
   return repo_infos

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Callable     ,					SCREAMING_SNAKE_CASE_		:   Iterable      ):



   '''simple docstring'''





   return list(map(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   str      ):



   '''simple docstring'''





   with open(SCREAMING_SNAKE_CASE_     ,					'wb'      ) as f:
      return pickle.dump(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]      ):



   '''simple docstring'''





   def remove_articles(SCREAMING_SNAKE_CASE_		:   int      ):
      return re.sub(R'\b(a|an|the)\b'     ,					' '     ,					SCREAMING_SNAKE_CASE_      )

   def white_space_fix(SCREAMING_SNAKE_CASE_		:   Tuple      ):
      return " ".join(text.split()      )

   def remove_punc(SCREAMING_SNAKE_CASE_		:   Union[str, Any]      ):
      lowercase__   :       Optional[int]				=	set(string.punctuation      )
      return "".join(ch for ch in text if ch not in exclude      )

   def lower(SCREAMING_SNAKE_CASE_		:   Union[str, Any]      ):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(SCREAMING_SNAKE_CASE_      )      )      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Tuple     ,					SCREAMING_SNAKE_CASE_		:   Union[str, Any]      ):



   '''simple docstring'''





   lowercase__   :       str				=	normalize_answer(SCREAMING_SNAKE_CASE_      ).split()
   lowercase__   :       List[str]				=	normalize_answer(SCREAMING_SNAKE_CASE_      ).split()
   lowercase__   :       str				=	Counter(SCREAMING_SNAKE_CASE_      ) & Counter(SCREAMING_SNAKE_CASE_      )
   lowercase__   :       str				=	sum(common.values()      )
   if num_same == 0:
      return 0
   lowercase__   :       str				=	1.0 * num_same / len(SCREAMING_SNAKE_CASE_      )
   lowercase__   :       List[str]				=	1.0 * num_same / len(SCREAMING_SNAKE_CASE_      )
   lowercase__   :       Any				=	(2 * precision * recall) / (precision + recall)
   return fa

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   int      ):



   '''simple docstring'''





   return normalize_answer(SCREAMING_SNAKE_CASE_      ) == normalize_answer(SCREAMING_SNAKE_CASE_      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[str]     ,					SCREAMING_SNAKE_CASE_		:   List[str]      ):



   '''simple docstring'''





   assert len(SCREAMING_SNAKE_CASE_      ) == len(SCREAMING_SNAKE_CASE_      )
   lowercase__   :       int				=	0
   for hypo, pred in zip(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ):
      em += exact_match_score(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
   if len(SCREAMING_SNAKE_CASE_      ) > 0:
      em /= len(SCREAMING_SNAKE_CASE_      )
   return {"em": em}

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



   '''simple docstring'''





   return model_prefix.startswith('rag'      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Tuple     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



   '''simple docstring'''





   lowercase__   :       List[Any]				=	{p: p for p in extra_params}
   # T5 models don't have `dropout` param, they have `dropout_rate` instead
   lowercase__   :       Any				=	'dropout_rate'
   for p in extra_params:
      if getattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ):
         if not hasattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ) and not hasattr(SCREAMING_SNAKE_CASE_     ,					equivalent_param[p]      ):
            logger.info('config doesn\'t have a `{}` attribute'.format(SCREAMING_SNAKE_CASE_      )      )
            delattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
            continue
         lowercase__   :       Optional[int]				=	p if hasattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ) else equivalent_param[p]
         setattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_     ,					getattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )      )
         delattr(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
   return hparams, config




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


snake_case_        =			{'''configuration_encoder_decoder''': ['''EncoderDecoderConfig''']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_        =			['''EncoderDecoderModel''']

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_        =			['''TFEncoderDecoderModel''']

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_        =			['''FlaxEncoderDecoderModel''']

if TYPE_CHECKING:
       from .configuration_encoder_decoder import EncoderDecoderConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_encoder_decoder import EncoderDecoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
       import sys

       snake_case_        =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

