



"""simple docstring"""
import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class     a		(     lowerCAmelCase_		,					unittest.TestCase				):
  UpperCamelCase		: int     =    CodeGenTokenizer
  UpperCamelCase		: int     =    CodeGenTokenizerFast
  UpperCamelCase		: Optional[Any]     =    True
  UpperCamelCase		: Union[str, Any]     =    {'add_prefix_space': True}
  UpperCamelCase		: Dict     =    False



  def 		lowerCamelCase__				(  self       :    Union[str, Any]						)   ->    Optional[Any]:


     '''simple docstring'''




     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     SCREAMING_SNAKE_CASE_:       List[str]   	=[
         '''l''',
         '''o''',
         '''w''',
         '''e''',
         '''r''',
         '''s''',
         '''t''',
         '''i''',
         '''d''',
         '''n''',
         '''\u0120''',
         '''\u0120l''',
         '''\u0120n''',
         '''\u0120lo''',
         '''\u0120low''',
         '''er''',
         '''\u0120lowest''',
         '''\u0120newer''',
         '''\u0120wider''',
         '''<unk>''',
         '''<|endoftext|>''',
     ]
     SCREAMING_SNAKE_CASE_:       Tuple   	=dict(zip(lowerCAmelCase				,						range(len(lowerCAmelCase						)						)						)						)
     SCREAMING_SNAKE_CASE_:       Optional[int]   	=['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
     SCREAMING_SNAKE_CASE_:       str   	={'''unk_token''': '''<unk>'''}

     SCREAMING_SNAKE_CASE_:       str   	=os.path.join(self.tmpdirname				,						VOCAB_FILES_NAMES["""vocab_file"""]						)
     SCREAMING_SNAKE_CASE_:       Dict   	=os.path.join(self.tmpdirname				,						VOCAB_FILES_NAMES["""merges_file"""]						)
     with open(self.vocab_file				,						"""w"""				,						encoding="""utf-8"""						) as fp:
        fp.write(json.dumps(lowerCAmelCase						) + """\n"""						)
     with open(self.merges_file				,						"""w"""				,						encoding="""utf-8"""						) as fp:
        fp.write("""\n""".join(lowerCAmelCase						)						)



  def 		lowerCamelCase__				(  self       :    str				,						**lowerCAmelCase       :    Optional[Any]						)   ->    Dict:


     '''simple docstring'''




     kwargs.update(self.special_tokens_map						)
     return CodeGenTokenizer.from_pretrained(self.tmpdirname				,						**lowerCAmelCase						)



  def 		lowerCamelCase__				(  self       :    Dict				,						**lowerCAmelCase       :    Optional[Any]						)   ->    Tuple:


     '''simple docstring'''




     kwargs.update(self.special_tokens_map						)
     return CodeGenTokenizerFast.from_pretrained(self.tmpdirname				,						**lowerCAmelCase						)



  def 		lowerCamelCase__				(  self       :    List[str]				,						lowerCAmelCase       :    Union[str, Any]						)   ->    List[str]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       str   	='''lower newer'''
     SCREAMING_SNAKE_CASE_:       Any   	='''lower newer'''
     return input_text, output_text



  def 		lowerCamelCase__				(  self       :    int						)   ->    int:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       List[str]   	=CodeGenTokenizer(self.vocab_file				,						self.merges_file				,						**self.special_tokens_map						)
     SCREAMING_SNAKE_CASE_:       List[Any]   	='''lower newer'''
     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=['''\u0120low''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=tokenizer.tokenize(lowerCAmelCase				,						add_prefix_space=lowerCAmelCase						)
     self.assertListEqual(lowerCAmelCase				,						lowerCAmelCase						)

     SCREAMING_SNAKE_CASE_:       Any   	=tokens + [tokenizer.unk_token]
     SCREAMING_SNAKE_CASE_:       str   	=[14, 15, 10, 9, 3, 2, 15, 19]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase						)				,						lowerCAmelCase						)



  def 		lowerCamelCase__				(  self       :    Optional[Any]						)   ->    Dict:


     '''simple docstring'''




     if not self.test_rust_tokenizer:
        return

     SCREAMING_SNAKE_CASE_:       Dict   	=self.get_tokenizer()
     SCREAMING_SNAKE_CASE_:       List[str]   	=self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase						)

     SCREAMING_SNAKE_CASE_:       Dict   	='''lower newer'''

     # Testing tokenization
     SCREAMING_SNAKE_CASE_:       str   	=tokenizer.tokenize(lowerCAmelCase				,						add_prefix_space=lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       str   	=rust_tokenizer.tokenize(lowerCAmelCase						)
     self.assertListEqual(lowerCAmelCase				,						lowerCAmelCase						)

     # Testing conversion to ids without special tokens
     SCREAMING_SNAKE_CASE_:       Tuple   	=tokenizer.encode(lowerCAmelCase				,						add_special_tokens=lowerCAmelCase				,						add_prefix_space=lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       List[str]   	=rust_tokenizer.encode(lowerCAmelCase				,						add_special_tokens=lowerCAmelCase						)
     self.assertListEqual(lowerCAmelCase				,						lowerCAmelCase						)

     # Testing conversion to ids with special tokens
     SCREAMING_SNAKE_CASE_:       Any   	=self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=tokenizer.encode(lowerCAmelCase				,						add_prefix_space=lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       str   	=rust_tokenizer.encode(lowerCAmelCase						)
     self.assertListEqual(lowerCAmelCase				,						lowerCAmelCase						)

     # Testing the unknown token
     SCREAMING_SNAKE_CASE_:       List[str]   	=tokens + [rust_tokenizer.unk_token]
     SCREAMING_SNAKE_CASE_:       Tuple   	=[14, 15, 10, 9, 3, 2, 15, 19]
     self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowerCAmelCase						)				,						lowerCAmelCase						)



  def 		lowerCamelCase__				(  self       :    List[str]				,						*lowerCAmelCase       :    Optional[Any]				,						**lowerCAmelCase       :    Optional[Any]						)   ->    str:


     '''simple docstring'''




     pass



  def 		lowerCamelCase__				(  self       :    Tuple				,						lowerCAmelCase       :    Tuple=15						)   ->    Optional[Any]:


     '''simple docstring'''




     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
           SCREAMING_SNAKE_CASE_:       int   	=self.rust_tokenizer_class.from_pretrained(lowerCAmelCase				,						**lowerCAmelCase						)

           # Simple input
           SCREAMING_SNAKE_CASE_:       Optional[Any]   	='''This is a simple input'''
           SCREAMING_SNAKE_CASE_:       Optional[int]   	=['''This is a simple input 1''', '''This is a simple input 2''']
           SCREAMING_SNAKE_CASE_:       Any   	=('''This is a simple input''', '''This is a pair''')
           SCREAMING_SNAKE_CASE_:       List[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       :    List[Any]						)   ->    str:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       List[str]   	=CodeGenTokenizer.from_pretrained(self.tmpdirname				,						pad_token="""<pad>"""						)

     # Simple input
     SCREAMING_SNAKE_CASE_:       Dict   	='''This is a simple input'''
     SCREAMING_SNAKE_CASE_:       Tuple   	=['''This is a simple input looooooooong''', '''This is a simple input''']
     SCREAMING_SNAKE_CASE_:       Dict   	=('''This is a simple input''', '''This is a pair''')
     SCREAMING_SNAKE_CASE_:       Dict   	=[
         ('''This is a simple input loooooong''', '''This is a simple input'''),
         ('''This is a simple pair loooooong''', '''This is a simple pair'''),
     ]

     SCREAMING_SNAKE_CASE_:       int   	=tokenizer.pad_token_id

     SCREAMING_SNAKE_CASE_:       str   	=tokenizer(lowerCAmelCase				,						padding="""max_length"""				,						max_length=30				,						return_tensors="""np"""						)
     SCREAMING_SNAKE_CASE_:       Any   	=tokenizer(lowerCAmelCase				,						padding=lowerCAmelCase				,						truncate=lowerCAmelCase				,						return_tensors="""np"""						)
     SCREAMING_SNAKE_CASE_:       List[str]   	=tokenizer(*lowerCAmelCase				,						padding="""max_length"""				,						max_length=60				,						return_tensors="""np"""						)
     SCREAMING_SNAKE_CASE_:       Tuple   	=tokenizer(lowerCAmelCase				,						padding=lowerCAmelCase				,						truncate=lowerCAmelCase				,						return_tensors="""np"""						)

     # s
     # test single string max_length padding
     self.assertEqual(out_s["""input_ids"""].shape[-1]				,						30						)
     self.assertTrue(pad_token_id in out_s["""input_ids"""]						)
     self.assertTrue(0 in out_s["""attention_mask"""]						)

     # s2
     # test automatic padding
     self.assertEqual(out_sa["""input_ids"""].shape[-1]				,						33						)
     # long slice doesn't have padding
     self.assertFalse(pad_token_id in out_sa["""input_ids"""][0]						)
     self.assertFalse(0 in out_sa["""attention_mask"""][0]						)
     # short slice does have padding
     self.assertTrue(pad_token_id in out_sa["""input_ids"""][1]						)
     self.assertTrue(0 in out_sa["""attention_mask"""][1]						)

     # p
     # test single pair max_length padding
     self.assertEqual(out_p["""input_ids"""].shape[-1]				,						60						)
     self.assertTrue(pad_token_id in out_p["""input_ids"""]						)
     self.assertTrue(0 in out_p["""attention_mask"""]						)

     # p2
     # test automatic padding pair
     self.assertEqual(out_pa["""input_ids"""].shape[-1]				,						52						)
     # long slice pair doesn't have padding
     self.assertFalse(pad_token_id in out_pa["""input_ids"""][0]						)
     self.assertFalse(0 in out_pa["""attention_mask"""][0]						)
     # short slice pair does have padding
     self.assertTrue(pad_token_id in out_pa["""input_ids"""][1]						)
     self.assertTrue(0 in out_pa["""attention_mask"""][1]						)



  def 		lowerCamelCase__				(  self       :    List[Any]						)   ->    Any:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Optional[Any]   	='''$$$'''
     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=CodeGenTokenizer.from_pretrained(self.tmpdirname				,						bos_token=lowerCAmelCase				,						add_bos_token=lowerCAmelCase						)

     SCREAMING_SNAKE_CASE_:       Tuple   	='''This is a simple input'''
     SCREAMING_SNAKE_CASE_:       Optional[int]   	=['''This is a simple input 1''', '''This is a simple input 2''']

     SCREAMING_SNAKE_CASE_:       Optional[int]   	=tokenizer.bos_token_id

     SCREAMING_SNAKE_CASE_:       Any   	=tokenizer(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       int   	=tokenizer(lowerCAmelCase						)

     self.assertEqual(out_s.input_ids[0]				,						lowerCAmelCase						)
     self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids						)						)

     SCREAMING_SNAKE_CASE_:       Optional[int]   	=tokenizer.decode(out_s.input_ids						)
     SCREAMING_SNAKE_CASE_:       Dict   	=tokenizer.batch_decode(out_sa.input_ids						)

     self.assertEqual(decode_s.split()[0]				,						lowerCAmelCase						)
     self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa						)						)



  @slow
  def 		lowerCamelCase__				(  self       :    int						)   ->    str:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Any   	=CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""						)

     SCREAMING_SNAKE_CASE_:       Dict   	='''\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'''
     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	='''\nif len_a > len_b:      result = a\nelse:      result = b'''

     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=tokenizer.encode(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       int   	=['''^#''', re.escape("""<|endoftext|>"""						), '''^\'\'\'''', '''^"""''', '''\n\n\n''']
     SCREAMING_SNAKE_CASE_:       int   	=tokenizer.decode(lowerCAmelCase				,						truncate_before_pattern=lowerCAmelCase						)
     self.assertEqual(lowerCAmelCase				,						lowerCAmelCase						)





  def 		lowerCamelCase__				(  self       :    Tuple						)   ->    Optional[Any]:


     '''simple docstring'''




     pass








"""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      snake_case__   (		__lowerCamelCase				:    Union[str, Any]							,		__lowerCamelCase				:    Tuple							,		__lowerCamelCase				:    Any							,		__lowerCamelCase				:    Tuple							,		__lowerCamelCase				:    Tuple=True							,		__lowerCamelCase				:    Dict="pt"	):
			"""simple docstring"""
			lowerCamelCase__		:		str			={'''add_prefix_space''': True} if isinstance(__lowerCamelCase							,		__lowerCamelCase	) and not line.startswith(''' '''	) else {}
			lowerCamelCase__		:		int			=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__   (		__lowerCamelCase				:    str							,		__lowerCamelCase				:    List[Any]							,		__lowerCamelCase				:    Optional[int]=None							,		):
			"""simple docstring"""
			lowerCamelCase__		:		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_   ):


					'''simple docstring'''





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



					def __len__(       self							:  Dict     )->					Optional[int]:
								return len(self.src_lens     )



					def __getitem__(       self							:  List[str],  lowerCamelCase							:  Optional[int]     )->					Dict[str, torch.Tensor]:
								lowerCamelCase__		:		List[Any]			=index + 1  # linecache starts at 1
								lowerCamelCase__		:		Optional[int]			=self.prefix + linecache.getline(str(self.src_file     ),  lowerCamelCase     ).rstrip('''\n'''     )
								lowerCamelCase__		:		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
								lowerCamelCase__		:		Optional[int]			=(
								    self.tokenizer.question_encoder if isinstance(self.tokenizer,  lowerCamelCase     ) else self.tokenizer
								)
								lowerCamelCase__		:		Tuple			=self.tokenizer.generator if isinstance(self.tokenizer,  lowerCamelCase     ) else self.tokenizer

								lowerCamelCase__		:		Optional[int]			=encode_line(lowerCamelCase,  lowerCamelCase,  self.max_source_length,  '''right'''     )
								lowerCamelCase__		:		str			=encode_line(lowerCamelCase,  lowerCamelCase,  self.max_target_length,  '''right'''     )

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



					@staticmethod
					def 		snake_case       (       lowerCamelCase							:  Union[str, Any]     )->					Optional[int]:
								return [len(lowerCamelCase     ) for x in Path(lowerCamelCase     ).open().readlines()]




					def 		snake_case       (       self							:  str,  lowerCamelCase							:  str     )->					Dict[str, torch.Tensor]:
								lowerCamelCase__		:		List[Any]			=torch.stack([x['''input_ids'''] for x in batch]     )
								lowerCamelCase__		:		int			=torch.stack([x['''attention_mask'''] for x in batch]     )
								lowerCamelCase__		:		Union[str, Any]			=torch.stack([x['''decoder_input_ids'''] for x in batch]     )
								lowerCamelCase__		:		str			=(
								    self.tokenizer.generator.pad_token_id
								    if isinstance(self.tokenizer,  lowerCamelCase     )
								    else self.tokenizer.pad_token_id
								)
								lowerCamelCase__		:		List[str]			=(
								    self.tokenizer.question_encoder.pad_token_id
								    if isinstance(self.tokenizer,  lowerCamelCase     )
								    else self.tokenizer.pad_token_id
								)
								lowerCamelCase__		:		Optional[int]			=trim_batch(lowerCamelCase,  lowerCamelCase     )
								lowerCamelCase__	,   lowerCamelCase__		:		Any			=trim_batch(lowerCamelCase,  lowerCamelCase,  attention_mask=lowerCamelCase     )
								lowerCamelCase__		:		List[str]			={
								    '''input_ids''': source_ids,
								    '''attention_mask''': source_mask,
								    '''decoder_input_ids''': y,
								}
								return batch





_lowercase : Any      						=						getLogger(__name__)






def      snake_case__   (		__lowerCamelCase				:    List[List]	):
			"""simple docstring"""
			return list(itertools.chain.from_iterable(__lowerCamelCase	)	)






def      snake_case__   (		__lowerCamelCase				:    str	):
			"""simple docstring"""
			lowerCamelCase__		:		Dict			=get_git_info()
			save_json(__lowerCamelCase							,		os.path.join(__lowerCamelCase							,		'''git_log.json'''	)	)






def      snake_case__   (		__lowerCamelCase				:    Union[str, Any]							,		__lowerCamelCase				:    Optional[int]							,		__lowerCamelCase				:    Dict=4							,		**__lowerCamelCase				:    int	):
			"""simple docstring"""
			with open(__lowerCamelCase							,		'''w'''	) as f:
						json.dump(__lowerCamelCase							,		__lowerCamelCase							,		indent=__lowerCamelCase							,		**__lowerCamelCase	)






def      snake_case__   (		__lowerCamelCase				:    List[Any]	):
			"""simple docstring"""
			with open(__lowerCamelCase	) as f:
						return json.load(__lowerCamelCase	)






def      snake_case__   (		):
			"""simple docstring"""
			lowerCamelCase__		:		List[Any]			=git.Repo(search_parent_directories=__lowerCamelCase	)
			lowerCamelCase__		:		Union[str, Any]			={
			    '''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__   (		__lowerCamelCase				:    Callable							,		__lowerCamelCase				:    Iterable	):
			"""simple docstring"""
			return list(map(__lowerCamelCase							,		__lowerCamelCase	)	)






def      snake_case__   (		__lowerCamelCase				:    Any							,		__lowerCamelCase				:    List[Any]	):
			"""simple docstring"""
			with open(__lowerCamelCase							,		'''wb'''	) as f:
						return pickle.dump(__lowerCamelCase							,		__lowerCamelCase	)






def      snake_case__   (		__lowerCamelCase				:    str	):
			"""simple docstring"""

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

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

			def remove_punc(__lowerCamelCase				:    Optional[Any]	):
						lowerCamelCase__		:		Tuple			=set(string.punctuation	)
						return "".join(ch for ch in text if ch not in exclude	)

			def lower(__lowerCamelCase				:    Any	):
						return text.lower()

			return white_space_fix(remove_articles(remove_punc(lower(__lowerCamelCase	)	)	)	)






def      snake_case__   (		__lowerCamelCase				:    List[str]							,		__lowerCamelCase				:    List[str]	):
			"""simple docstring"""
			lowerCamelCase__		:		List[str]			=normalize_answer(__lowerCamelCase	).split()
			lowerCamelCase__		:		List[str]			=normalize_answer(__lowerCamelCase	).split()
			lowerCamelCase__		:		Optional[int]			=Counter(__lowerCamelCase	) & Counter(__lowerCamelCase	)
			lowerCamelCase__		:		Union[str, Any]			=sum(common.values()	)
			if num_same == 0:
						return 0
			lowerCamelCase__		:		Dict			=1.0 * num_same / len(__lowerCamelCase	)
			lowerCamelCase__		:		List[str]			=1.0 * num_same / len(__lowerCamelCase	)
			lowerCamelCase__		:		Union[str, Any]			=(2 * precision * recall) / (precision + recall)
			return fa






def      snake_case__   (		__lowerCamelCase				:    Dict							,		__lowerCamelCase				:    int	):
			"""simple docstring"""
			return normalize_answer(__lowerCamelCase	) == normalize_answer(__lowerCamelCase	)






def      snake_case__   (		__lowerCamelCase				:    List[str]							,		__lowerCamelCase				:    List[str]	):
			"""simple docstring"""
			assert len(__lowerCamelCase	) == len(__lowerCamelCase	)
			lowerCamelCase__		:		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__   (		__lowerCamelCase				:    List[str]	):
			"""simple docstring"""
			return model_prefix.startswith('''rag'''	)






def      snake_case__   (		__lowerCamelCase				:    Any							,		__lowerCamelCase				:    List[str]							,		__lowerCamelCase				:    str	):
			"""simple docstring"""
			lowerCamelCase__		:		Any			={p: p for p in extra_params}
			# T5 models don't have `dropout` param, they have `dropout_rate` instead
			lowerCamelCase__		:		Optional[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
									lowerCamelCase__		:		List[Any]			=p if hasattr(__lowerCamelCase							,		__lowerCamelCase	) else equivalent_param[p]
									setattr(__lowerCamelCase							,		__lowerCamelCase							,		getattr(__lowerCamelCase							,		__lowerCamelCase	)	)
									delattr(__lowerCamelCase							,		__lowerCamelCase	)
			return hparams, config




