

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      (					UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__=True  ,				UpperCamelCase__="pt" ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__=None  ,				):







							'''simple docstring'''






							snake_case_     							=       input_ids.ne(UpperCamelCase__ ).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 					lowercase							(			lowercase_     ):




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




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




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

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

											snake_case_     							=       encode_line(snake_case ,  snake_case ,  self.max_source_length ,  'right'			)
											snake_case_     							=       encode_line(snake_case ,  snake_case ,  self.max_target_length ,  'right'			)

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




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




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



_UpperCAmelCase						:  Dict									=			getLogger(__name__)





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       get_git_info()
							save_json(UpperCamelCase__  ,				os.path.join(UpperCamelCase__  ,				'git_log.json' ) )





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__=4  ,				**UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






							return list(map(UpperCamelCase__  ,				UpperCamelCase__ ) )





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






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

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

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

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

							return white_space_fix(remove_articles(remove_punc(lower(UpperCamelCase__ ) ) ) )





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






							return normalize_answer(UpperCamelCase__ ) == normalize_answer(UpperCamelCase__ )





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							return model_prefix.startswith('rag' )





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






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







from math import sqrt





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5  ,				int(sqrt(UpperCamelCase__ ) + 1 )  ,				6 ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True





def    __lowerCamelCase      (					UpperCamelCase__ = 10001 ):







							'''simple docstring'''






							snake_case_     							=       0
							snake_case_     							=       1
							while count != nth and number < 3:
														number += 1
														if is_prime(UpperCamelCase__ ):
																					count += 1
							while count != nth:
														number += 2
														if is_prime(UpperCamelCase__ ):
																					count += 1
							return number


if __name__ == "__main__":
					print(F'''{solution() = }''')




