






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    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Tuple	,			__magic_name__					:  Any	,			__magic_name__					:  Tuple	,			__magic_name__					:  Optional[Any]	,			__magic_name__					:  str=True	,			__magic_name__					:  List[Any]="pt"					)		->			int:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Union[str, Any]	,			__magic_name__					:  Any	,			__magic_name__					:  Optional[Any]=None	,			)		->			Optional[Any]:






	"""simple docstring"""



	UpperCamelCase     :Optional[int]          =	input_ids.ne(__magic_name__					).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       (			_a      ):





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





	def __len__(		self				:					List[str]	):
		return len(self.src_lens	)





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

		UpperCamelCase     :Optional[int]          =	encode_line(__lowerCamelCase ,  __lowerCamelCase ,  self.max_source_length ,  """right"""	)
		UpperCamelCase     :Union[str, Any]          =	encode_line(__lowerCamelCase ,  __lowerCamelCase ,  self.max_target_length ,  """right"""	)

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





	@staticmethod
	def 						_A (		__lowerCamelCase				:					Tuple	):
		return [len(__lowerCamelCase	) for x in Path(__lowerCamelCase	).open().readlines()]





	def 						_A (		self				:					Any ,  __lowerCamelCase				:					int	):
		UpperCamelCase     :Optional[int]          =	torch.stack([x["""input_ids"""] for x in batch]	)
		UpperCamelCase     :Tuple          =	torch.stack([x["""attention_mask"""] for x in batch]	)
		UpperCamelCase     :Union[str, Any]          =	torch.stack([x["""decoder_input_ids"""] for x in batch]	)
		UpperCamelCase     :List[Any]          =	(
		    self.tokenizer.generator.pad_token_id
		    if isinstance(self.tokenizer ,  __lowerCamelCase	)
		    else self.tokenizer.pad_token_id
		)
		UpperCamelCase     :List[str]          =	(
		    self.tokenizer.question_encoder.pad_token_id
		    if isinstance(self.tokenizer ,  __lowerCamelCase	)
		    else self.tokenizer.pad_token_id
		)
		UpperCamelCase     :Union[str, Any]          =	trim_batch(__lowerCamelCase ,  __lowerCamelCase	)
		UpperCamelCase     ,      UpperCamelCase     :str          =	trim_batch(__lowerCamelCase ,  __lowerCamelCase ,  attention_mask=__lowerCamelCase	)
		UpperCamelCase     :List[str]          =	{
		    """input_ids""": source_ids,
		    """attention_mask""": source_mask,
		    """decoder_input_ids""": y,
		}
		return batch
UpperCAmelCase_ :						str      =      getLogger(__name__)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  List[List]					)		->			Dict:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  str					)		->			None:






	"""simple docstring"""



	UpperCamelCase     :List[str]          =	get_git_info()
	save_json(__magic_name__	,			os.path.join(__magic_name__	,			"""git_log.json"""					)					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  str	,			__magic_name__					:  int	,			__magic_name__					:  List[str]=4	,			**__magic_name__					:  Dict					)		->			str:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Union[str, Any]					)		->			Tuple:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							)		->			Union[str, Any]:






	"""simple docstring"""



	UpperCamelCase     :List[str]          =	git.Repo(search_parent_directories=__magic_name__					)
	UpperCamelCase     :Optional[Any]          =	{
	    """repo_id""": str(__magic_name__					),
	    """repo_sha""": str(repo.head.object.hexsha					),
	    """repo_branch""": str(repo.active_branch					),
	    """hostname""": str(socket.gethostname()					),
	}
	return repo_infos

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Callable	,			__magic_name__					:  Iterable					)		->			List:






	"""simple docstring"""



	return list(map(__magic_name__	,			__magic_name__					)					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  List[Any]	,			__magic_name__					:  Tuple					)		->			Optional[Any]:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Tuple					)		->			List[str]:






	"""simple docstring"""



	def remove_articles(__magic_name__					:  List[Any]					):
		return re.sub(R"""\b(a|an|the)\b"""	,			""" """	,			__magic_name__					)

	def white_space_fix(__magic_name__					:  Any					):
		return " ".join(text.split()					)

	def remove_punc(__magic_name__					:  int					):
		UpperCamelCase     :Union[str, Any]          =	set(string.punctuation					)
		return "".join(ch for ch in text if ch not in exclude					)

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

	return white_space_fix(remove_articles(remove_punc(lower(__magic_name__					)					)					)					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Dict	,			__magic_name__					:  List[str]					)		->			Optional[int]:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int	,			__magic_name__					:  int					)		->			List[str]:






	"""simple docstring"""



	return normalize_answer(__magic_name__					) == normalize_answer(__magic_name__					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  List[str]	,			__magic_name__					:  List[str]					)		->			Dict:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  List[str]					)		->			Union[str, Any]:






	"""simple docstring"""



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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Optional[int]	,			__magic_name__					:  int	,			__magic_name__					:  Optional[int]					)		->			Optional[Any]:






	"""simple docstring"""



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




"""simple docstring"""







def 					a__			(				SCREAMING_SNAKE_CASE    :    float				,      SCREAMING_SNAKE_CASE    :    float				,      SCREAMING_SNAKE_CASE    :    int				):


  '''simple docstring'''







  if principal <= 0:
    raise Exception("Principal borrowed must be > 0"				)
  if rate_per_annum < 0:
    raise Exception("Rate of interest must be >= 0"				)
  if years_to_repay <= 0 or not isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				):
    raise Exception("Years to repay must be an integer > 0"				)

  # Yearly rate is divided by 12 to get monthly rate
  lowerCAmelCase     :     Tuple								=							rate_per_annum / 1_2

  # Years to repay is multiplied by 12 to get number of payments as payment is monthly
  lowerCAmelCase     :     List[Any]								=							years_to_repay * 1_2

  return (
      principal
      * rate_per_month
      * (1 + rate_per_month) ** number_of_payments
      / ((1 + rate_per_month) ** number_of_payments - 1)
  )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





