'''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  _UpperCamelCase (     _a	:	Tuple				,     _a	:	Any				,     _a	:	List[Any]				,     _a	:	Any				,     _a	:	int=True				,     _a	:	Union[str, Any]="pt"			):




    """simple docstring"""



    __UpperCamelCase	:	Union[str, Any]		    =  {"""add_prefix_space""": True} if isinstance(__UpperCamelCase				,     __UpperCamelCase			) and not line.startswith(' '			) else {}
    __UpperCamelCase	:	Any		    =  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 (     _a	:	str				,     _a	:	Any				,     _a	:	Optional[int]=None				,     ):




    """simple docstring"""



    __UpperCamelCase	:	List[Any]		    =  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		(						SCREAMING_SNAKE_CASE__						):







     """simple docstring"""






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







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







     def __getitem__(		self     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	Optional[Any]		    =  index + 1  # linecache starts at 1
         __UpperCamelCase	:	Optional[int]		    =  self.prefix + linecache.getline(str(self.src_file    )     ,			_lowercase    ).rstrip('\n'    )
         __UpperCamelCase	:	Union[str, Any]		    =  linecache.getline(str(self.tgt_file    )     ,			_lowercase    ).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     ,			_lowercase    ):
             source_line += self.tokenizer.eos_token
             tgt_line += self.tokenizer.eos_token

         # Pad source and target to the right
         __UpperCamelCase	:	Optional[Any]		    =  (
             self.tokenizer.question_encoder if isinstance(self.tokenizer     ,			_lowercase    ) else self.tokenizer
         )
         __UpperCamelCase	:	Dict		    =  self.tokenizer.generator if isinstance(self.tokenizer     ,			_lowercase    ) else self.tokenizer

         __UpperCamelCase	:	str		    =  encode_line(_lowercase     ,			_lowercase     ,			self.max_source_length     ,			'right'    )
         __UpperCamelCase	:	Dict		    =  encode_line(_lowercase     ,			_lowercase     ,			self.max_target_length     ,			'right'    )

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







     @staticmethod
     def lowerCAmelCase     (		_lowerCamelCase    ):
         return [len(_lowercase    ) for x in Path(_lowercase    ).open().readlines()]







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	List[Any]		    =  torch.stack([x['input_ids'] for x in batch]    )
         __UpperCamelCase	:	Optional[Any]		    =  torch.stack([x['attention_mask'] for x in batch]    )
         __UpperCamelCase	:	Optional[Any]		    =  torch.stack([x['decoder_input_ids'] for x in batch]    )
         __UpperCamelCase	:	Union[str, Any]		    =  (
             self.tokenizer.generator.pad_token_id
             if isinstance(self.tokenizer     ,			_lowercase    )
             else self.tokenizer.pad_token_id
         )
         __UpperCamelCase	:	Any		    =  (
             self.tokenizer.question_encoder.pad_token_id
             if isinstance(self.tokenizer     ,			_lowercase    )
             else self.tokenizer.pad_token_id
         )
         __UpperCamelCase	:	Union[str, Any]		    =  trim_batch(_lowercase     ,			_lowercase    )
         __UpperCamelCase	:	Dict		    =  trim_batch(_lowercase     ,			_lowercase     ,			attention_mask=_lowercase    )
         __UpperCamelCase	:	Union[str, Any]		    =  {
             """input_ids""": source_ids,
             """attention_mask""": source_mask,
             """decoder_input_ids""": y,
         }
         return batch




a=  getLogger(__name__)







def  _UpperCamelCase (     _a	:	List[List]			):




    """simple docstring"""



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







def  _UpperCamelCase (     _a	:	str			):




    """simple docstring"""



    __UpperCamelCase	:	Any		    =  get_git_info()
    save_json(__UpperCamelCase				,     os.path.join(__UpperCamelCase				,     'git_log.json'			)			)







def  _UpperCamelCase (     _a	:	List[Any]				,     _a	:	int				,     _a	:	List[Any]=4				,     **_a	:	Optional[Any]			):




    """simple docstring"""



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







def  _UpperCamelCase (     _a	:	Union[str, Any]			):




    """simple docstring"""



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







def  _UpperCamelCase (     ):




    """simple docstring"""



    __UpperCamelCase	:	Any		    =  git.Repo(search_parent_directories=__UpperCamelCase			)
    __UpperCamelCase	:	Dict		    =  {
        """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 (     _a	:	Callable				,     _a	:	Iterable			):




    """simple docstring"""



    return list(map(__UpperCamelCase				,     __UpperCamelCase			)			)







def  _UpperCamelCase (     _a	:	List[str]				,     _a	:	Optional[int]			):




    """simple docstring"""



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







def  _UpperCamelCase (     _a	:	List[Any]			):




    """simple docstring"""



    def remove_articles(_a	:	List[str]			):
        return re.sub(r'\b(a|an|the)\b'				,     ' '				,     __UpperCamelCase			)

    def white_space_fix(_a	:	Union[str, Any]			):
        return " ".join(text.split()			)

    def remove_punc(_a	:	Optional[int]			):
        __UpperCamelCase	:	List[str]		    =  set(string.punctuation			)
        return "".join(ch for ch in text if ch not in exclude			)

    def lower(_a	:	Optional[int]			):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(__UpperCamelCase			)			)			)			)







def  _UpperCamelCase (     _a	:	Dict				,     _a	:	Any			):




    """simple docstring"""



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







def  _UpperCamelCase (     _a	:	Optional[int]				,     _a	:	Optional[Any]			):




    """simple docstring"""



    return normalize_answer(__UpperCamelCase			) == normalize_answer(__UpperCamelCase			)







def  _UpperCamelCase (     _a	:	List[str]				,     _a	:	List[str]			):




    """simple docstring"""



    assert len(__UpperCamelCase			) == len(__UpperCamelCase			)
    __UpperCamelCase	:	Optional[Any]		    =  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 (     _a	:	Tuple			):




    """simple docstring"""



    return model_prefix.startswith('rag'			)







def  _UpperCamelCase (     _a	:	List[Any]				,     _a	:	Union[str, Any]				,     _a	:	Dict			):




    """simple docstring"""



    __UpperCamelCase	:	Optional[Any]		    =  {p: p for p in extra_params}
    # T5 models don't have `dropout` param, they have `dropout_rate` instead
    __UpperCamelCase	:	Optional[int]		    =  """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
            __UpperCamelCase	:	int		    =  p if hasattr(__UpperCamelCase				,     __UpperCamelCase			) else equivalent_param[p]
            setattr(__UpperCamelCase				,     __UpperCamelCase				,     getattr(__UpperCamelCase				,     __UpperCamelCase			)			)
            delattr(__UpperCamelCase				,     __UpperCamelCase			)
    return hparams, config




'''simple docstring'''
import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__lowercase		(						_lowerCamelCase			,							unittest.TestCase						):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		   =						OpenAIGPTTokenizer
     SCREAMING_SNAKE_CASE__		   =						OpenAIGPTTokenizerFast
     SCREAMING_SNAKE_CASE__		   =						True
     SCREAMING_SNAKE_CASE__		   =						False







     def lowerCAmelCase     (		self    ):
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         __UpperCamelCase	:	List[Any]		    =  [
             'l',
             'o',
             'w',
             'e',
             'r',
             's',
             't',
             'i',
             'd',
             'n',
             'w</w>',
             'r</w>',
             't</w>',
             'lo',
             'low',
             'er</w>',
             'low</w>',
             'lowest</w>',
             'newer</w>',
             'wider</w>',
             '<unk>',
         ]
         __UpperCamelCase	:	List[str]		    =  dict(zip(_lowerCamelCase     ,			range(len(_lowerCamelCase    )    )    )    )
         __UpperCamelCase	:	Union[str, Any]		    =  ['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

         __UpperCamelCase	:	Optional[int]		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['vocab_file']    )
         __UpperCamelCase	:	Tuple		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['merges_file']    )
         with open(self.vocab_file     ,			'w'    ) as fp:
             fp.write(json.dumps(_lowerCamelCase    )    )
         with open(self.merges_file     ,			'w'    ) as fp:
             fp.write('\n'.join(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         return "lower newer", "lower newer"







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  OpenAIGPTTokenizer(self.vocab_file     ,			self.merges_file    )

         __UpperCamelCase	:	List[Any]		    =  'lower'
         __UpperCamelCase	:	Union[str, Any]		    =  ['low', 'er</w>']
         __UpperCamelCase	:	Tuple		    =  tokenizer.tokenize(_lowerCamelCase    )
         self.assertListEqual(_lowerCamelCase     ,			_lowerCamelCase    )

         __UpperCamelCase	:	List[str]		    =  tokens + ['<unk>']
         __UpperCamelCase	:	Optional[Any]		    =  [1_4, 1_5, 2_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase    )     ,			_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase=1_5    ):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
                 __UpperCamelCase	:	Dict		    =  self.rust_tokenizer_class.from_pretrained(_lowerCamelCase     ,			**_lowerCamelCase    )

                 # Simple input
                 __UpperCamelCase	:	int		    =  'This is a simple input'
                 __UpperCamelCase	:	Any		    =  ['This is a simple input 1', 'This is a simple input 2']
                 __UpperCamelCase	:	Union[str, Any]		    =  ('This is a simple input', 'This is a pair')
                 __UpperCamelCase	:	Any		    =  [
                     ('This is a simple input 1', 'This is a simple input 2'),
                     ('This is a simple pair 1', 'This is a simple pair 2'),
                 ]

                 # Simple input tests
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Simple input
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Simple input
                 self.assertRaises(
                     _lowerCamelCase     ,			tokenizer_r.batch_encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'     ,			)

                 # Pair input
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Pair input
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Pair input
                 self.assertRaises(
                     _lowerCamelCase     ,			tokenizer_r.batch_encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'     ,			)







     def lowerCAmelCase     (		self    ):
         pass






@require_ftfy
@require_spacy
@require_tokenizers
class 			__lowercase		(						_lowerCamelCase						):







     """simple docstring"""






     pass



