

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_		:   List[str]     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]     ,					SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]     ,					SCREAMING_SNAKE_CASE_		:   Union[str, Any]=True     ,					SCREAMING_SNAKE_CASE_		:   Optional[int]="pt"      ):



					'''simple docstring'''





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

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Tuple     ,					SCREAMING_SNAKE_CASE_		:   Tuple     ,					SCREAMING_SNAKE_CASE_		:   int=None     ,					):



					'''simple docstring'''





					lowercase__   :       Optional[Any]				=	input_ids.ne(_lowerCAmelCase      ).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__ (lowerCamelCase__					):





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





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





				def __getitem__(				self						,       a):
									lowercase__   :       Optional[int]				=	index + 1  # linecache starts at 1
									lowercase__   :       Optional[int]				=	self.prefix + linecache.getline(str(self.src_file)						,       a).rstrip('\n')
									lowercase__   :       Union[str, 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__   :       Tuple				=	(
									    self.tokenizer.question_encoder if isinstance(self.tokenizer						,       a) else self.tokenizer
									)
									lowercase__   :       Union[str, Any]				=	self.tokenizer.generator if isinstance(self.tokenizer						,       a) else self.tokenizer

									lowercase__   :       int				=	encode_line(a						,       a						,       self.max_source_length						,       'right')
									lowercase__   :       Optional[int]				=	encode_line(a						,       a						,       self.max_target_length						,       'right')

									lowercase__   :       str				=	source_inputs["input_ids"].squeeze()
									lowercase__   :       Union[str, Any]				=	target_inputs["input_ids"].squeeze()
									lowercase__   :       Dict				=	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__   :       List[Any]				=	torch.stack([x['input_ids'] for x in batch])
									lowercase__   :       Tuple				=	torch.stack([x['attention_mask'] for x in batch])
									lowercase__   :       int				=	torch.stack([x['decoder_input_ids'] for x in batch])
									lowercase__   :       Union[str, Any]				=	(
									    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__   :       Optional[Any]				=	trim_batch(a						,       a)
									lowercase__   :       Optional[int]				=	trim_batch(a						,       a						,       attention_mask=a)
									lowercase__   :       str				=	{
									    "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(_lowerCAmelCase      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str      ):



					'''simple docstring'''





					lowercase__   :       List[Any]				=	get_git_info()
					save_json(_lowerCAmelCase     ,					os.path.join(_lowerCAmelCase     ,					'git_log.json'      )      )

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



					'''simple docstring'''





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

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]      ):



					'''simple docstring'''





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

def      snake_case__      (   ):



					'''simple docstring'''





					lowercase__   :       Tuple				=	git.Repo(search_parent_directories=_lowerCAmelCase      )
					lowercase__   :       List[str]				=	{
					    "repo_id": str(_lowerCAmelCase      ),
					    "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(_lowerCAmelCase     ,					_lowerCAmelCase      )      )

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



					'''simple docstring'''





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

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Dict      ):



					'''simple docstring'''





					def remove_articles(SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):
										return re.sub(R'\b(a|an|the)\b'     ,					' '     ,					_lowerCAmelCase      )

					def white_space_fix(SCREAMING_SNAKE_CASE_		:   List[str]      ):
										return " ".join(text.split()      )

					def remove_punc(SCREAMING_SNAKE_CASE_		:   List[str]      ):
										lowercase__   :       Tuple				=	set(string.punctuation      )
										return "".join(ch for ch in text if ch not in exclude      )

					def lower(SCREAMING_SNAKE_CASE_		:   List[Any]      ):
										return text.lower()

					return white_space_fix(remove_articles(remove_punc(lower(_lowerCAmelCase      )      )      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]     ,					SCREAMING_SNAKE_CASE_		:   Dict      ):



					'''simple docstring'''





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

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



					'''simple docstring'''





					return normalize_answer(_lowerCAmelCase      ) == normalize_answer(_lowerCAmelCase      )

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



					'''simple docstring'''





					assert len(_lowerCAmelCase      ) == len(_lowerCAmelCase      )
					lowercase__   :       List[Any]				=	0
					for hypo, pred in zip(_lowerCAmelCase     ,					_lowerCAmelCase      ):
										em += exact_match_score(_lowerCAmelCase     ,					_lowerCAmelCase      )
					if len(_lowerCAmelCase      ) > 0:
										em /= len(_lowerCAmelCase      )
					return {"em": em}

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



					'''simple docstring'''





					return model_prefix.startswith('rag'      )

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



					'''simple docstring'''





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




from __future__ import annotations


class 				SCREAMING_SNAKE_CASE__ :





    def __init__(				self						,       a						,       a):
         lowercase__				,			lowercase__   :       Dict				=	text, pattern
         lowercase__				,			lowercase__   :       Any				=	len(a), len(a)





    def 				snake_case_    (				self						,       a):

         for i in range(self.patLen - 1						,       -1						,       -1):
              if char == self.pattern[i]:
                   return i
         return -1





    def 				snake_case_    (				self						,       a):

         for i in range(self.patLen - 1						,       -1						,       -1):
              if self.pattern[i] != self.text[current_pos + i]:
                   return current_pos + i
         return -1





    def 				snake_case_    (				self):
         # searches pattern in text and returns index positions
         lowercase__   :       Any				=	[]
         for i in range(self.textLen - self.patLen + 1):
              lowercase__   :       Optional[Any]				=	self.mismatch_in_text(a)
              if mismatch_index == -1:
                   positions.append(a)
              else:
                   lowercase__   :       Optional[int]				=	self.match_in_pattern(self.text[mismatch_index])
                   lowercase__   :       Optional[Any]				=	(
                       mismatch_index - match_index
                   )  # shifting index lgtm [py/multiple-definition]
         return positions



snake_case_        =			'''ABAABA'''
snake_case_        =			'''AB'''
snake_case_        =			BoyerMooreSearch(text, pattern)
snake_case_        =			bms.bad_character_heuristic()

if len(positions) == 0:
       print('''No match found''')
else:
       print('''Pattern found in following positions: ''')
       print(positions)

