



"""simple docstring"""
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        lowerCAmelCase_(   lowercase_     :							Dict						,   lowercase_     :							str						,   lowercase_     :							List[Any]						,   lowercase_     :							List[Any]						,   lowercase_     :							str=True						,   lowercase_     :							Tuple="pt"							)	->       Union[str, Any]:
				_lowerCamelCase        =				{'''add_prefix_space''': True} if isinstance(lowercase_						,   lowercase_							) and not line.startswith(''' '''							) else {}
				_lowerCamelCase        =				padding_side
				return tokenizer(
				    [line]						,   max_length=lowercase_						,   padding='''max_length''' if pad_to_max_length else None						,   truncation=lowercase_						,   return_tensors=lowercase_						,   add_special_tokens=lowercase_						,   **lowercase_						,   )



def        lowerCAmelCase_(   lowercase_     :							Tuple						,   lowercase_     :							Any						,   lowercase_     :							List[Any]=None						,   )	->       Union[str, Any]:
				_lowerCamelCase        =				input_ids.ne(lowercase_							).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 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



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

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

					def __getitem__(    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				index + 1  # linecache starts at 1
									_lowerCamelCase        =				self.prefix + linecache.getline(str(self.src_file   )				,       lowerCamelCase__   ).rstrip('''\n'''   )
									_lowerCamelCase        =				linecache.getline(str(self.tgt_file   )				,       lowerCamelCase__   ).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				,       lowerCamelCase__   ):
													source_line += self.tokenizer.eos_token
													tgt_line += self.tokenizer.eos_token

									# Pad source and target to the right
									_lowerCamelCase        =				(
									    self.tokenizer.question_encoder if isinstance(self.tokenizer				,       lowerCamelCase__   ) else self.tokenizer
									)
									_lowerCamelCase        =				self.tokenizer.generator if isinstance(self.tokenizer				,       lowerCamelCase__   ) else self.tokenizer

									_lowerCamelCase        =				encode_line(lowerCamelCase__				,       lowerCamelCase__				,       self.max_source_length				,       '''right'''   )
									_lowerCamelCase        =				encode_line(lowerCamelCase__				,       lowerCamelCase__				,       self.max_target_length				,       '''right'''   )

									_lowerCamelCase        =				source_inputs['''input_ids'''].squeeze()
									_lowerCamelCase        =				target_inputs['''input_ids'''].squeeze()
									_lowerCamelCase        =				source_inputs['''attention_mask'''].squeeze()
									return {
									    "input_ids": source_ids,
									    "attention_mask": src_mask,
									    "decoder_input_ids": target_ids,
									}

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





					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				torch.stack([x['''input_ids'''] for x in batch]   )
									_lowerCamelCase        =				torch.stack([x['''attention_mask'''] for x in batch]   )
									_lowerCamelCase        =				torch.stack([x['''decoder_input_ids'''] for x in batch]   )
									_lowerCamelCase        =				(
									    self.tokenizer.generator.pad_token_id
									    if isinstance(self.tokenizer				,       lowerCamelCase__   )
									    else self.tokenizer.pad_token_id
									)
									_lowerCamelCase        =				(
									    self.tokenizer.question_encoder.pad_token_id
									    if isinstance(self.tokenizer				,       lowerCamelCase__   )
									    else self.tokenizer.pad_token_id
									)
									_lowerCamelCase        =				trim_batch(lowerCamelCase__				,       lowerCamelCase__   )
									_lowerCamelCase  ,     _lowerCamelCase        =				trim_batch(lowerCamelCase__				,       lowerCamelCase__				,       attention_mask=lowerCamelCase__   )
									_lowerCamelCase        =				{
									    '''input_ids''': source_ids,
									    '''attention_mask''': source_mask,
									    '''decoder_input_ids''': y,
									}
									return batch
__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      getLogger(__name__)



def        lowerCAmelCase_(   lowercase_     :							List[List]							)	->       Any:
				return list(itertools.chain.from_iterable(lowercase_							)							)



def        lowerCAmelCase_(   lowercase_     :							str							)	->       None:
				_lowerCamelCase        =				get_git_info()
				save_json(lowercase_						,   os.path.join(lowercase_						,   '''git_log.json'''							)							)



def        lowerCAmelCase_(   lowercase_     :							int						,   lowercase_     :							Union[str, Any]						,   lowercase_     :							Any=4						,   **lowercase_     :							Union[str, Any]							)	->       Union[str, Any]:
				with open(lowercase_						,   '''w'''							) as f:
								json.dump(lowercase_						,   lowercase_						,   indent=lowercase_						,   **lowercase_							)



def        lowerCAmelCase_(   lowercase_     :							Union[str, Any]							)	->       List[str]:
				with open(lowercase_							) as f:
								return json.load(lowercase_							)



def        lowerCAmelCase_(   )	->       Tuple:
				_lowerCamelCase        =				git.Repo(search_parent_directories=lowercase_							)
				_lowerCamelCase        =				{
				    '''repo_id''': str(lowercase_							),
				    '''repo_sha''': str(repo.head.object.hexsha							),
				    '''repo_branch''': str(repo.active_branch							),
				    '''hostname''': str(socket.gethostname()							),
				}
				return repo_infos



def        lowerCAmelCase_(   lowercase_     :							Callable						,   lowercase_     :							Iterable							)	->       List:
				return list(map(lowercase_						,   lowercase_							)							)



def        lowerCAmelCase_(   lowercase_     :							List[Any]						,   lowercase_     :							List[str]							)	->       int:
				with open(lowercase_						,   '''wb'''							) as f:
								return pickle.dump(lowercase_						,   lowercase_							)



def        lowerCAmelCase_(   lowercase_     :							List[Any]							)	->       List[Any]:

				def remove_articles(lowercase_     :							str							):
								return re.sub(r'''\b(a|an|the)\b'''						,   ''' '''						,   lowercase_							)

				def white_space_fix(lowercase_     :							Dict							):
								return " ".join(text.split()							)

				def remove_punc(lowercase_     :							Dict							):
								_lowerCamelCase        =				set(string.punctuation							)
								return "".join(ch for ch in text if ch not in exclude							)

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

				return white_space_fix(remove_articles(remove_punc(lower(lowercase_							)							)							)							)



def        lowerCAmelCase_(   lowercase_     :							Optional[int]						,   lowercase_     :							List[str]							)	->       List[str]:
				_lowerCamelCase        =				normalize_answer(lowercase_							).split()
				_lowerCamelCase        =				normalize_answer(lowercase_							).split()
				_lowerCamelCase        =				Counter(lowercase_							) & Counter(lowercase_							)
				_lowerCamelCase        =				sum(common.values()							)
				if num_same == 0:
								return 0
				_lowerCamelCase        =				1.0 * num_same / len(lowercase_							)
				_lowerCamelCase        =				1.0 * num_same / len(lowercase_							)
				_lowerCamelCase        =				(2 * precision * recall) / (precision + recall)
				return fa



def        lowerCAmelCase_(   lowercase_     :							Optional[int]						,   lowercase_     :							str							)	->       List[Any]:
				return normalize_answer(lowercase_							) == normalize_answer(lowercase_							)



def        lowerCAmelCase_(   lowercase_     :							List[str]						,   lowercase_     :							List[str]							)	->       Dict:
				assert len(lowercase_							) == len(lowercase_							)
				_lowerCamelCase        =				0
				for hypo, pred in zip(lowercase_						,   lowercase_							):
								em += exact_match_score(lowercase_						,   lowercase_							)
				if len(lowercase_							) > 0:
								em /= len(lowercase_							)
				return {"em": em}



def        lowerCAmelCase_(   lowercase_     :							Union[str, Any]							)	->       Optional[int]:
				return model_prefix.startswith('''rag'''							)




def        lowerCAmelCase_(   lowercase_     :							Tuple						,   lowercase_     :							Any						,   lowercase_     :							str							)	->       Tuple:
				_lowerCamelCase        =				{p: p for p in extra_params}
				# T5 models don't have `dropout` param, they have `dropout_rate` instead
				_lowerCamelCase        =				'''dropout_rate'''
				for p in extra_params:
								if getattr(lowercase_						,   lowercase_						,   lowercase_							):
												if not hasattr(lowercase_						,   lowercase_							) and not hasattr(lowercase_						,   equivalent_param[p]							):
																logger.info('''config doesn\'t have a `{}` attribute'''.format(lowercase_							)							)
																delattr(lowercase_						,   lowercase_							)
																continue
												_lowerCamelCase        =				p if hasattr(lowercase_						,   lowercase_							) else equivalent_param[p]
												setattr(lowercase_						,   lowercase_						,   getattr(lowercase_						,   lowercase_							)							)
												delattr(lowercase_						,   lowercase_							)
				return hparams, config





"""simple docstring"""
from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						str    							=      ['''VisionEncoderDecoderModel''']

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						Dict    							=      ['''TFVisionEncoderDecoderModel''']

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						List[Any]    							=      ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
			from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
			import sys

			__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
