




lowerCamelCase__ :   dict[str, float]					=							{
    "km/h": 1.0,
    "m/s": 3.6,
    "mph": 1.60_9344,
    "knot": 1.852,
}

lowerCamelCase__ :   dict[str, float]					=							{
    "km/h": 1.0,
    "m/s": 0.2_7777_7778,
    "mph": 0.6_2137_1192,
    "knot": 0.5_3995_6803,
}

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	float			,			__UpperCAmelCase						:	str			,			__UpperCAmelCase						:	str							)					-> float:
      if unit_to not in speed_chart or unit_from not in speed_chart_inverse:
            SCREAMING_SNAKE_CASE_							=			(
                f"Incorrect 'from_type' or 'to_type' value: {unit_from!r}, {unit_to!r}\n"
                f"Valid values are: {', '.join(__UpperCAmelCase							)}"
            )
            raise ValueError(__UpperCAmelCase							)
      return round(speed * speed_chart[unit_from] * speed_chart_inverse[unit_to]			,			3							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()





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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Union[str, Any]			,			__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	Optional[Any]=True			,			__UpperCAmelCase						:	Any="pt"							)					-> List[str]:
      SCREAMING_SNAKE_CASE_							=			{'add_prefix_space': True} if isinstance(__UpperCAmelCase			,			__UpperCAmelCase							) and not line.startswith(' '							) else {}
      SCREAMING_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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]			,			__UpperCAmelCase						:	Optional[Any]			,			__UpperCAmelCase						:	Dict=None			,			)					-> Optional[Any]:
      SCREAMING_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        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







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



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

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




 def       lowerCAmelCase_  (							self  :		int				,				_lowerCAmelCase  :		Optional[int]						):
       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				,				_lowerCAmelCase						)
           else self.tokenizer.pad_token_id
       )
       SCREAMING_SNAKE_CASE_							=			(
           self.tokenizer.question_encoder.pad_token_id
           if isinstance(self.tokenizer				,				_lowerCAmelCase						)
           else self.tokenizer.pad_token_id
       )
       SCREAMING_SNAKE_CASE_							=			trim_batch(_lowerCAmelCase				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			trim_batch(_lowerCAmelCase				,				_lowerCAmelCase				,				attention_mask=_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			{
           'input_ids': source_ids,
           'attention_mask': source_mask,
           'decoder_input_ids': y,
       }
       return batch


lowerCamelCase__ :   List[str]					=							getLogger(__name__)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[List]							)					-> Tuple:
      return list(itertools.chain.from_iterable(__UpperCAmelCase							)							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	str							)					-> None:
      SCREAMING_SNAKE_CASE_							=			get_git_info()
      save_json(__UpperCAmelCase			,			os.path.join(__UpperCAmelCase			,			'git_log.json'							)							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Tuple			,			__UpperCAmelCase						:	Optional[int]=4			,			**__UpperCAmelCase						:	Tuple							)					-> str:
      with open(__UpperCAmelCase			,			'w'							) as f:
            json.dump(__UpperCAmelCase			,			__UpperCAmelCase			,			indent=__UpperCAmelCase			,			**__UpperCAmelCase							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]							)					-> int:
      with open(__UpperCAmelCase							) as f:
            return json.load(__UpperCAmelCase							)

def 					UpperCAmelCase_							(      )					-> Tuple:
      SCREAMING_SNAKE_CASE_							=			git.Repo(search_parent_directories=__UpperCAmelCase							)
      SCREAMING_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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Callable			,			__UpperCAmelCase						:	Iterable							)					-> List:
      return list(map(__UpperCAmelCase			,			__UpperCAmelCase							)							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	str			,			__UpperCAmelCase						:	Dict							)					-> Dict:
      with open(__UpperCAmelCase			,			'wb'							) as f:
            return pickle.dump(__UpperCAmelCase			,			__UpperCAmelCase							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]							)					-> Any:

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

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

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

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

      return white_space_fix(remove_articles(remove_punc(lower(__UpperCAmelCase							)							)							)							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	int			,			__UpperCAmelCase						:	Any							)					-> List[str]:
      SCREAMING_SNAKE_CASE_							=			normalize_answer(__UpperCAmelCase							).split()
      SCREAMING_SNAKE_CASE_							=			normalize_answer(__UpperCAmelCase							).split()
      SCREAMING_SNAKE_CASE_							=			Counter(__UpperCAmelCase							) & Counter(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			sum(common.values()							)
      if num_same == 0:
            return 0
      SCREAMING_SNAKE_CASE_							=			1.0 * num_same / len(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			1.0 * num_same / len(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			(2 * precision * recall) / (precision + recall)
      return fa

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	str			,			__UpperCAmelCase						:	Optional[int]							)					-> Any:
      return normalize_answer(__UpperCAmelCase							) == normalize_answer(__UpperCAmelCase							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]			,			__UpperCAmelCase						:	List[str]							)					-> Dict:
      assert len(__UpperCAmelCase							) == len(__UpperCAmelCase							)
      SCREAMING_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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]							)					-> Dict:
      return model_prefix.startswith('rag'							)





def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]			,			__UpperCAmelCase						:	Any			,			__UpperCAmelCase						:	List[str]							)					-> Tuple:
      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(__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
                  SCREAMING_SNAKE_CASE_							=			p if hasattr(__UpperCAmelCase			,			__UpperCAmelCase							) else equivalent_param[p]
                  setattr(__UpperCAmelCase			,			__UpperCAmelCase			,			getattr(__UpperCAmelCase			,			__UpperCAmelCase							)							)
                  delattr(__UpperCAmelCase			,			__UpperCAmelCase							)
      return hparams, config