






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__						:       List[Any]     ,						lowercase__						:       Tuple     ,						lowercase__						:       int     ,						lowercase__						:       Optional[Any]     ,						lowercase__						:       Optional[Any]=True     ,						lowercase__						:       List[Any]="pt"       )		->    Optional[int]:


				'''simple docstring'''




				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__						:       Union[str, Any]     ,						lowercase__						:       Union[str, Any]     ,						lowercase__						:       Tuple=None     ,						)		->    Dict:


				'''simple docstring'''




				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_       (				snake_case__					):




							def __init__(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   List[str] ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]="train" ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=None ,							SCREAMING_SNAKE_CASE_     :   Optional[int]=None ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]=None ,							SCREAMING_SNAKE_CASE_     :   List[str]="" ,							):
											super().__init__()
											lowerCAmelCase__      			=						Path(SCREAMING_SNAKE_CASE_	).joinpath(type_path + '''.source'''	)
											lowerCAmelCase__      			=						Path(SCREAMING_SNAKE_CASE_	).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     :   str	):
											return len(self.src_lens	)




							def __getitem__(   self     :   Any ,							SCREAMING_SNAKE_CASE_     :   List[Any]	):
											lowerCAmelCase__      			=						index + 1  # linecache starts at 1
											lowerCAmelCase__      			=						self.prefix + linecache.getline(str(self.src_file	) ,							SCREAMING_SNAKE_CASE_	).rstrip('''\n'''	)
											lowerCAmelCase__      			=						linecache.getline(str(self.tgt_file	) ,							SCREAMING_SNAKE_CASE_	).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 ,							SCREAMING_SNAKE_CASE_	):
															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 ,							SCREAMING_SNAKE_CASE_	) else self.tokenizer
											)
											lowerCAmelCase__      			=						self.tokenizer.generator if isinstance(self.tokenizer ,							SCREAMING_SNAKE_CASE_	) else self.tokenizer

											lowerCAmelCase__      			=						encode_line(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_ ,							self.max_source_length ,							'''right'''	)
											lowerCAmelCase__      			=						encode_line(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_ ,							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					(   SCREAMING_SNAKE_CASE_     :   Optional[int]	):
											return [len(SCREAMING_SNAKE_CASE_	) for x in Path(SCREAMING_SNAKE_CASE_	).open().readlines()]




							def 						__snake_case					(   self     :   Dict ,							SCREAMING_SNAKE_CASE_     :   List[str]	):
											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 ,							SCREAMING_SNAKE_CASE_	)
											    else self.tokenizer.pad_token_id
											)
											lowerCAmelCase__      			=						(
											    self.tokenizer.question_encoder.pad_token_id
											    if isinstance(self.tokenizer ,							SCREAMING_SNAKE_CASE_	)
											    else self.tokenizer.pad_token_id
											)
											lowerCAmelCase__      			=						trim_batch(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__			,		lowerCAmelCase__      			=						trim_batch(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_ ,							attention_mask=SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						{
											    '''input_ids''': source_ids,
											    '''attention_mask''': source_mask,
											    '''decoder_input_ids''': y,
											}
											return batch



_UpperCAmelCase			:		str   				=    getLogger(__name__)





def 	lowerCAmelCase_		(lowercase__						:       List[List]       )		->    List[str]:


				'''simple docstring'''




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





def 	lowerCAmelCase_		(lowercase__						:       str       )		->    None:


				'''simple docstring'''




				lowerCAmelCase__      			=						get_git_info()
				save_json(lowercase__     ,						os.path.join(lowercase__     ,						'''git_log.json'''       )       )





def 	lowerCAmelCase_		(lowercase__						:       Any     ,						lowercase__						:       Union[str, Any]     ,						lowercase__						:       Union[str, Any]=4     ,						**lowercase__						:       Dict       )		->    Dict:


				'''simple docstring'''




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





def 	lowerCAmelCase_		(lowercase__						:       Union[str, Any]       )		->    Tuple:


				'''simple docstring'''




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





def 	lowerCAmelCase_		()		->    int:


				'''simple docstring'''




				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:


				'''simple docstring'''




				return list(map(lowercase__     ,						lowercase__       )       )





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]     ,						lowercase__						:       Dict       )		->    Optional[Any]:


				'''simple docstring'''




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





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


				'''simple docstring'''




				def remove_articles(lowercase__						:       Optional[int]       ):
								return re.sub(r'''\b(a|an|the)\b'''     ,						''' '''     ,						lowercase__       )

				def white_space_fix(lowercase__						:       List[Any]       ):
								return " ".join(text.split()       )

				def remove_punc(lowercase__						:       Any       ):
								lowerCAmelCase__      			=						set(string.punctuation       )
								return "".join(ch for ch in text if ch not in exclude       )

				def lower(lowercase__						:       Optional[Any]       ):
								return text.lower()

				return white_space_fix(remove_articles(remove_punc(lower(lowercase__       )       )       )       )





def 	lowerCAmelCase_		(lowercase__						:       Tuple     ,						lowercase__						:       Tuple       )		->    Tuple:


				'''simple docstring'''




				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__						:       Any     ,						lowercase__						:       Tuple       )		->    Tuple:


				'''simple docstring'''




				return normalize_answer(lowercase__       ) == normalize_answer(lowercase__       )





def 	lowerCAmelCase_		(lowercase__						:       List[str]     ,						lowercase__						:       List[str]       )		->    Dict:


				'''simple docstring'''




				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__						:       Tuple       )		->    Tuple:


				'''simple docstring'''




				return model_prefix.startswith('''rag'''       )





def 	lowerCAmelCase_		(lowercase__						:       Tuple     ,						lowercase__						:       Dict     ,						lowercase__						:       Tuple       )		->    Dict:


				'''simple docstring'''




				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













from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase			:		Optional[Any]   				=    {
    "configuration_mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig"],
    "feature_extraction_mctct": ["MCTCTFeatureExtractor"],
    "processing_mctct": ["MCTCTProcessor"],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		str   				=    [
			    "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "MCTCTForCTC",
			    "MCTCTModel",
			    "MCTCTPreTrainedModel",
			]


if TYPE_CHECKING:
			from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
			from .feature_extraction_mctct import MCTCTFeatureExtractor
			from .processing_mctct import MCTCTProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
			import sys

			_UpperCAmelCase			:		List[str]   				=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





