



"""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 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			int=True					, __UpperCamelCase      :			Union[str, Any]="pt"    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : 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    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		def __init__(					self							,    _lowercase							,    _lowercase							,    _lowercase							,    _lowercase							,    _lowercase="train"							,    _lowercase=None							,    _lowercase=None							,    _lowercase=None							,    _lowercase=""							,    ) ->						Dict:







								'''simple docstring'''

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





		def __len__(					self   ) ->						Any:







								'''simple docstring'''

								return len(self.src_lens   )





		def __getitem__(					self							,    _lowercase   ) ->						Dict[str, torch.Tensor]:







								'''simple docstring'''

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

								snake_case_   : str						=			encode_line(_lowercase							,    _lowercase							,    self.max_source_length							,    """right"""   )
								snake_case_   : Dict						=			encode_line(_lowercase							,    _lowercase							,    self.max_target_length							,    """right"""   )

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





		@staticmethod
		def    UpperCAmelCase__							(					_lowercase   ) ->						List[str]:







								'''simple docstring'''

								return [len(_lowercase   ) for x in Path(_lowercase   ).open().readlines()]





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Dict[str, torch.Tensor]:







								'''simple docstring'''

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




__lowerCAmelCase       :					List[Any]      					=					getLogger(__name__)
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[List]    ):


						'''simple docstring'''






						return list(itertools.chain.from_iterable(__UpperCamelCase    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : Any						=			get_git_info()
						save_json(__UpperCamelCase					, os.path.join(__UpperCamelCase					, """git_log.json"""    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			int					, __UpperCamelCase      :			List[Any]=4					, **__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase					, indent=__UpperCamelCase					, **__UpperCamelCase    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Any						=			git.Repo(search_parent_directories=__UpperCamelCase    )
						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Callable					, __UpperCamelCase      :			Iterable    ):


						'''simple docstring'''






						return list(map(__UpperCamelCase					, __UpperCamelCase    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						with open(__UpperCamelCase					, """wb"""    ) as f:
												return pickle.dump(__UpperCamelCase					, __UpperCamelCase    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]    ):


						'''simple docstring'''






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

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

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

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

						return white_space_fix(remove_articles(remove_punc(lower(__UpperCamelCase    )    )    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			Any    ):


						'''simple docstring'''






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


						'''simple docstring'''






						return normalize_answer(__UpperCamelCase    ) == normalize_answer(__UpperCamelCase    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						assert len(__UpperCamelCase    ) == len(__UpperCamelCase    )
						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






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






def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			{p: p for p in extra_params}
						# T5 models don't have `dropout` param, they have `dropout_rate` instead
						snake_case_   : 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
																		snake_case_   : 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 MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__  ,				unittest.TestCase		):





		"""simple docstring"""






		_lowerCamelCase			  =       MgpstrTokenizer
		_lowerCamelCase			  =       False
		_lowerCamelCase			  =       {}
		_lowerCamelCase			  =       False





		def    UpperCAmelCase__							(					self   ) ->						Tuple:







								'''simple docstring'''

								super().setUp()

								# fmt: off
								snake_case_   : Optional[Any]						=			["""[GO]""", """[s]""", """0""", """1""", """2""", """3""", """4""", """5""", """6""", """7""", """8""", """9""", """a""", """b""", """c""", """d""", """e""", """f""", """g""", """h""", """i""", """j""", """k""", """l""", """m""", """n""", """o""", """p""", """q""", """r""", """s""", """t""", """u""", """v""", """w""", """x""", """y""", """z"""]
								# fmt: on
								snake_case_   : str						=			dict(zip(_lowercase							,    range(len(_lowercase   )   )   )   )

								snake_case_   : Tuple						=			os.path.join(self.tmpdirname							,    VOCAB_FILES_NAMES["""vocab_file"""]   )
								with open(self.vocab_file							,    """w"""							,    encoding="""utf-8"""   ) as fp:
														fp.write(json.dumps(_lowercase   ) + """\n"""   )





		def    UpperCAmelCase__							(					self							,    **_lowercase   ) ->						Union[str, Any]:







								'''simple docstring'''

								return MgpstrTokenizer.from_pretrained(self.tmpdirname							,    **_lowercase   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Optional[Any]:







								'''simple docstring'''

								snake_case_   : Tuple						=			"""tester"""
								snake_case_   : Tuple						=			"""tester"""
								return input_text, output_text





		@unittest.skip("""MGP-STR always lower cases letters."""   )
		def    UpperCAmelCase__							(					self   ) ->						List[Any]:







								'''simple docstring'''

								pass





		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								snake_case_   : Dict						=			self.get_tokenizers(do_lower_case=_lowercase   )
								for tokenizer in tokenizers:
														with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																				snake_case_   : Optional[Any]						=			"""[SPECIAL_TOKEN]"""

																				tokenizer.add_special_tokens({"""cls_token""": special_token}   )
																				snake_case_   : Union[str, Any]						=			tokenizer.encode([special_token]							,    add_special_tokens=_lowercase   )
																				self.assertEqual(len(_lowercase   )							,    1   )

																				snake_case_   : List[Any]						=			tokenizer.decode(_lowercase							,    skip_special_tokens=_lowercase   )
																				self.assertTrue(special_token not in decoded   )





		def    UpperCAmelCase__							(					self   ) ->						Dict:







								'''simple docstring'''

								snake_case_   : List[Any]						=			self.get_tokenizers()
								for tokenizer in tokenizers:
														with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																				snake_case_			,		snake_case_   : Union[str, Any]						=			self.get_input_output_texts(_lowercase   )

																				snake_case_   : List[Any]						=			tokenizer.tokenize(_lowercase   )
																				snake_case_   : Union[str, Any]						=			tokenizer.convert_tokens_to_ids(_lowercase   )
																				snake_case_   : Union[str, Any]						=			tokenizer.encode(_lowercase							,    add_special_tokens=_lowercase   )
																				self.assertListEqual(_lowercase							,    _lowercase   )

																				snake_case_   : List[str]						=			tokenizer.convert_ids_to_tokens(_lowercase   )
																				self.assertNotEqual(len(_lowercase   )							,    0   )
																				snake_case_   : str						=			tokenizer.decode(_lowercase   )
																				self.assertIsInstance(_lowercase							,    _lowercase   )

																				self.assertEqual(text_a.replace(""" """							,    """"""   )							,    _lowercase   )





		@unittest.skip("""MGP-STR tokenizer only handles one sequence."""   )
		def    UpperCAmelCase__							(					self   ) ->						int:







								'''simple docstring'''

								pass





		@unittest.skip("""inputs cannot be pretokenized in MgpstrTokenizer"""   )
		def    UpperCAmelCase__							(					self   ) ->						Any:







								'''simple docstring'''

								pass

