

"""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 						A							(  snake_case__		,					snake_case__		,					snake_case__		,					snake_case__		,					snake_case__=True		,					snake_case__="pt"     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   {"""add_prefix_space""": True} if isinstance(snake_case__		,					snake_case__     ) and not line.startswith(""" """     ) else {}
			SCREAMING_SNAKE_CASE__										=   padding_side
			return tokenizer(
			    [line]		,					max_length=snake_case__		,					padding="""max_length""" if pad_to_max_length else None		,					truncation=snake_case__		,					return_tensors=snake_case__		,					add_special_tokens=snake_case__		,					**snake_case__		,					)

def 						A							(  snake_case__		,					snake_case__		,					snake_case__=None		,					):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   input_ids.ne(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  lowerCamelCase    (A__      ):

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

			def __len__(       self					:    Dict							) ->     Dict:
						return len(self.src_lens							)

			def __getitem__(       self					:    Dict     ,					__UpperCAmelCase					:    str							) ->     Dict[str, torch.Tensor]:
						SCREAMING_SNAKE_CASE__										=   index + 1  # linecache starts at 1
						SCREAMING_SNAKE_CASE__										=   self.prefix + linecache.getline(str(self.src_file							)     ,					__UpperCAmelCase							).rstrip("""\n"""							)
						SCREAMING_SNAKE_CASE__										=   linecache.getline(str(self.tgt_file							)     ,					__UpperCAmelCase							).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     ,					__UpperCAmelCase							):
									source_line += self.tokenizer.eos_token
									tgt_line += self.tokenizer.eos_token

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

						SCREAMING_SNAKE_CASE__										=   encode_line(__UpperCAmelCase     ,					__UpperCAmelCase     ,					self.max_source_length     ,					"""right"""							)
						SCREAMING_SNAKE_CASE__										=   encode_line(__UpperCAmelCase     ,					__UpperCAmelCase     ,					self.max_target_length     ,					"""right"""							)

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

			@staticmethod
			def        SCREAMING_SNAKE_CASE					(       __UpperCAmelCase					:    List[Any]							) ->     int:
						return [len(__UpperCAmelCase							) for x in Path(__UpperCAmelCase							).open().readlines()]





			def        SCREAMING_SNAKE_CASE					(       self					:    Optional[int]     ,					__UpperCAmelCase					:    Any							) ->     Dict[str, torch.Tensor]:
						SCREAMING_SNAKE_CASE__										=   torch.stack([x["""input_ids"""] for x in batch]							)
						SCREAMING_SNAKE_CASE__										=   torch.stack([x["""attention_mask"""] for x in batch]							)
						SCREAMING_SNAKE_CASE__										=   torch.stack([x["""decoder_input_ids"""] for x in batch]							)
						SCREAMING_SNAKE_CASE__										=   (
						    self.tokenizer.generator.pad_token_id
						    if isinstance(self.tokenizer     ,					__UpperCAmelCase							)
						    else self.tokenizer.pad_token_id
						)
						SCREAMING_SNAKE_CASE__										=   (
						    self.tokenizer.question_encoder.pad_token_id
						    if isinstance(self.tokenizer     ,					__UpperCAmelCase							)
						    else self.tokenizer.pad_token_id
						)
						SCREAMING_SNAKE_CASE__										=   trim_batch(__UpperCAmelCase     ,					__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__										=   trim_batch(__UpperCAmelCase     ,					__UpperCAmelCase     ,					attention_mask=__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   {
						    """input_ids""": source_ids,
						    """attention_mask""": source_mask,
						    """decoder_input_ids""": y,
						}
						return batch
A_				:      Dict           =			getLogger(__name__)

def 						A							(  snake_case__     ):




			'''simple docstring'''


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

def 						A							(  snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   get_git_info()
			save_json(snake_case__		,					os.path.join(snake_case__		,					"""git_log.json"""     )     )

def 						A							(  snake_case__		,					snake_case__		,					snake_case__=4		,					**snake_case__     ):




			'''simple docstring'''


			with open(snake_case__		,					"""w"""     ) as f:
						json.dump(snake_case__		,					snake_case__		,					indent=snake_case__		,					**snake_case__     )

def 						A							(  snake_case__     ):




			'''simple docstring'''


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

def 						A							(  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   git.Repo(search_parent_directories=snake_case__     )
			SCREAMING_SNAKE_CASE__										=   {
			    """repo_id""": str(snake_case__     ),
			    """repo_sha""": str(repo.head.object.hexsha     ),
			    """repo_branch""": str(repo.active_branch     ),
			    """hostname""": str(socket.gethostname()     ),
			}
			return repo_infos

def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


			return list(map(snake_case__		,					snake_case__     )     )

def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


			with open(snake_case__		,					"""wb"""     ) as f:
						return pickle.dump(snake_case__		,					snake_case__     )

def 						A							(  snake_case__     ):




			'''simple docstring'''


			def remove_articles(snake_case__     ):
						return re.sub(R"""\b(a|an|the)\b"""		,					""" """		,					snake_case__     )

			def white_space_fix(snake_case__     ):
						return " ".join(text.split()     )

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

			def lower(snake_case__     ):
						return text.lower()

			return white_space_fix(remove_articles(remove_punc(lower(snake_case__     )     )     )     )

def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   normalize_answer(snake_case__     ).split()
			SCREAMING_SNAKE_CASE__										=   normalize_answer(snake_case__     ).split()
			SCREAMING_SNAKE_CASE__										=   Counter(snake_case__     ) & Counter(snake_case__     )
			SCREAMING_SNAKE_CASE__										=   sum(common.values()     )
			if num_same == 0:
						return 0
			SCREAMING_SNAKE_CASE__										=   1.0 * num_same / len(snake_case__     )
			SCREAMING_SNAKE_CASE__										=   1.0 * num_same / len(snake_case__     )
			SCREAMING_SNAKE_CASE__										=   (2 * precision * recall) / (precision + recall)
			return fa

def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


			return normalize_answer(snake_case__     ) == normalize_answer(snake_case__     )

def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


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

def 						A							(  snake_case__     ):




			'''simple docstring'''


			return model_prefix.startswith("""rag"""     )




def 						A							(  snake_case__		,					snake_case__		,					snake_case__     ):




			'''simple docstring'''


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





"""simple docstring"""




from typing import List

from .keymap import KEYMAP, get_character

def 						A							(  snake_case__     ):




			'''simple docstring'''


			def decorator(snake_case__     ):
						SCREAMING_SNAKE_CASE__										=   getattr(snake_case__		,					"""handle_key"""		,					[]     )
						handle += [key]
						setattr(snake_case__		,					"""handle_key"""		,					snake_case__     )
						return func

			return decorator

def 						A							(  *snake_case__     ):




			'''simple docstring'''


			def decorator(snake_case__     ):
						SCREAMING_SNAKE_CASE__										=   getattr(snake_case__		,					"""handle_key"""		,					[]     )
						handle += keys
						setattr(snake_case__		,					"""handle_key"""		,					snake_case__     )
						return func

			return decorator





class  lowerCamelCase    (A__      ):

			def __new__(       cls					:    Dict     ,					__UpperCAmelCase					:    Tuple     ,					__UpperCAmelCase					:    Any     ,					__UpperCAmelCase					:    Optional[Any]							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   super().__new__(cls     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase							)
						if not hasattr(__UpperCAmelCase     ,					"""key_handler"""							):
									setattr(__UpperCAmelCase     ,					"""key_handler"""     ,					{}							)
						setattr(__UpperCAmelCase     ,					"""handle_input"""     ,					KeyHandler.handle_input							)

						for value in attrs.values():
									SCREAMING_SNAKE_CASE__										=   getattr(__UpperCAmelCase     ,					"""handle_key"""     ,					[]							)
									for key in handled_keys:
												SCREAMING_SNAKE_CASE__										=   value
						return new_cls





			@staticmethod
			def        SCREAMING_SNAKE_CASE					(       cls					:    Tuple							) ->     Dict:
						SCREAMING_SNAKE_CASE__										=   get_character()
						if char != KEYMAP["undefined"]:
									SCREAMING_SNAKE_CASE__										=   ord(__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   cls.key_handler.get(__UpperCAmelCase							)
						if handler:
									SCREAMING_SNAKE_CASE__										=   char
									return handler(cls							)
						else:
									return None

def 						A							(  cls     ):




			'''simple docstring'''


			return KeyHandler(cls.__name__		,					cls.__bases__		,					cls.__dict__.copy()     )


