


import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


a			:			List[Any]												=					get_tests_dir('''fixtures/test_sentencepiece.model''')

if is_sentencepiece_available():
	import sentencepiece as sp


a			:			Tuple												=					5
a			:			Optional[int]												=					10
@require_sentencepiece
@require_tokenizers
class 						lowerCamelCase_							(					lowerCAmelCase__  ,  unittest.TestCase					):



					'''simple docstring'''







					__UpperCAmelCase							  =					SpeechaTextTokenizer
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					True






					def A   (					self    ) ->      Optional[int]:







								'''simple docstring'''

								super().setUp()

								__lowercase			       = sp.SentencePieceProcessor()
								spm_model.Load(snake_case_    )
								__lowercase			       = ['''<s>''', '''<pad>''', '''</s>''', '''<unk>''']

								vocab += [spm_model.IdToPiece(id_    ) for id_ in range(len(snake_case_    )    )]
								__lowercase			       = dict(zip(snake_case_			,							range(len(snake_case_    )    )    )    )

								__lowercase			       = Path(self.tmpdirname    )
								save_json(snake_case_			,							save_dir / VOCAB_FILES_NAMES['''vocab_file''']    )
								if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
											copyfile(snake_case_			,							save_dir / VOCAB_FILES_NAMES['''spm_file''']    )

								__lowercase			       = SpeechaTextTokenizer.from_pretrained(self.tmpdirname    )
								tokenizer.save_pretrained(self.tmpdirname    )






					def A   (					self    ) ->      Optional[Any]:







								'''simple docstring'''

								__lowercase			       = '''<pad>'''
								__lowercase			       = 1

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case_    )			,							snake_case_    )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case_    )			,							snake_case_    )






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







								'''simple docstring'''

								__lowercase			       = list(self.get_tokenizer().get_vocab().keys()    )

								self.assertEqual(vocab_keys[0]			,							'''<s>'''    )
								self.assertEqual(vocab_keys[1]			,							'''<pad>'''    )
								self.assertEqual(vocab_keys[-1]			,							'''j'''    )
								self.assertEqual(len(snake_case_    )			,							1_0_0_1    )






					def A   (					self    ) ->      str:







								'''simple docstring'''

								self.assertEqual(self.get_tokenizer().vocab_size			,							1_0_0_1    )






					def A   (					self    ) ->      Tuple:







								'''simple docstring'''

								__lowercase			       = SpeechaTextTokenizer.from_pretrained(self.tmpdirname    )

								__lowercase			       = tokenizer.tokenize('''This is a test'''    )
								self.assertListEqual(snake_case_			,							['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']    )

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(snake_case_    )			,							[2_8_9, 5_0, 1_4, 1_7_4, 3_8_6]			,							)

								__lowercase			       = tokenizer.tokenize('''I was born in 92000, and this is falsé.'''    )
								self.assertListEqual(
								    snake_case_			,							[SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''9''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''é''', '''.''']			,							)
								__lowercase			       = tokenizer.convert_tokens_to_ids(snake_case_    )
								self.assertListEqual(snake_case_			,							[1_2, 2_5, 8_8, 5_9, 2_8, 2_3, 1_1, 4, 6_0_6, 3_5_1, 3_5_1, 3_5_1, 7, 1_6, 7_0, 5_0, 7_6, 8_4, 1_0, 4, 8]    )

								__lowercase			       = tokenizer.convert_ids_to_tokens(snake_case_    )
								self.assertListEqual(
								    snake_case_			,							[SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''<unk>''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''<unk>''', '''.''']			,							)






					@slow
					def A   (					self    ) ->      Any:







								'''simple docstring'''

								__lowercase			       = {'''input_ids''': [[3_7_9_1, 7_9_7, 3_1, 1_1, 6_4, 7_9_7, 3_1, 2_4_2_9, 4_3_3, 1_2, 1_1_7_6, 1_2, 2_0, 7_8_6, 9_1_5, 1_4_2, 2_4_1_3, 2_4_0, 3_7, 3_2_3_8, 7_9_7, 3_1, 1_1, 3_5, 9_3, 9_1_5, 1_4_2, 2_4_1_3, 2_4_0, 3_7, 5_5_4_0, 5_6_7, 1_2_7_6, 9_3, 3_7, 6_1_0, 4_0, 6_2, 4_5_5, 6_5_7, 1_0_4_2, 1_2_3, 7_8_0, 1_7_7, 3_7, 3_0_9, 2_4_1, 1_2_9_8, 5_1_4, 2_0, 2_9_2, 2_7_3_7, 1_1_4, 2_4_6_9, 2_4_1, 8_5, 6_4, 3_0_2, 5_4_8, 5_2_8, 4_2_3, 4, 5_0_9, 4_0_6, 4_2_3, 3_7, 6_0_1, 4, 7_7_7, 3_0_2, 5_4_8, 5_2_8, 4_2_3, 2_8_4, 4, 3_3_8_8, 5_1_1, 4_5_9, 4, 3_5_5_5, 4_0, 3_2_1, 3_0_2, 7_0_5, 4, 3_3_8_8, 5_1_1, 5_8_3, 3_2_6, 5, 5, 5, 6_2, 3_3_1_0, 5_6_0, 1_7_7, 2_6_8_0, 2_1_7, 1_5_0_8, 3_2, 3_1, 8_5_3, 4_1_8, 6_4, 5_8_3, 5_1_1, 1_6_0_5, 6_2, 3_5, 9_3, 5_6_0, 1_7_7, 2_6_8_0, 2_1_7, 1_5_0_8, 1_5_2_1, 6_4, 5_8_3, 5_1_1, 5_1_9, 6_2, 2_0, 1_5_1_5, 7_6_4, 2_0, 1_4_9, 2_6_1, 5_6_2_5, 7_9_7_2, 2_0, 5_5_4_0, 5_6_7, 1_2_7_6, 9_3, 3_9_2_5, 1_6_7_5, 1_1, 1_5, 8_0_2, 7_9_7_2, 5_7_6, 2_1_7, 1_5_0_8, 1_1, 3_5, 9_3, 1_2_5_3, 2_4_4_1, 1_5, 2_8_9, 6_5_2, 3_1, 4_1_6, 3_2_1, 3_8_4_2, 1_1_5, 4_0, 9_1_1, 8, 4_7_6, 6_1_9, 4, 3_8_0, 1_4_2, 4_2_3, 3_3_5, 2_4_0, 3_5, 9_3, 2_6_4, 8, 1_1, 3_3_5, 5_6_9, 4_2_0, 1_6_3, 5, 2], [2_6_0, 5_4_8, 5_2_8, 4_2_3, 2_0, 4_5_1, 2_0, 2_6_8_1, 1_1_5_3, 3_4_3_4, 2_0, 5_5_4_0, 3_7, 5_6_7, 1_2_6, 1_2_5_3, 2_4_4_1, 3_3_7_6, 4_4_9, 2_1_0, 4_3_1, 1_5_6_3, 1_7_7, 7_6_7, 5_5_4_0, 1_1, 1_2_0_3, 4_7_2, 1_1, 2_9_5_3, 6_8_5, 2_8_5, 3_6_4, 7_0_6, 1_1_5_3, 2_0, 6_7_9_9, 2_0, 2_8_6_9, 2_0, 4_4_6_4, 1_2_6, 4_0, 2_4_2_9, 2_0, 1_0_4_0, 8_6_6, 2_6_6_4, 4_1_8, 2_0, 3_1_8, 2_0, 1_7_2_6, 1_8_6, 2_0, 2_6_5, 5_2_2, 3_5, 9_3, 2_1_9_1, 4_6_3_4, 2_0, 1_0_4_0, 1_2, 6_7_9_9, 1_5, 2_2_8, 2_3_5_6, 1_4_2, 3_1, 1_1, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [2_5_7_5, 2_6_6_6, 6_8_4, 1_5_8_2, 1_1_7_6, 1_2, 6_2_7, 1_4_9, 6_1_9, 2_0, 4_9_0_2, 5_6_3, 1_1, 2_0, 1_4_9, 2_6_1, 3_4_2_0, 2_3_5_6, 1_7_4, 1_4_2, 4_7_1_4, 1_3_1, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
								# fmt: on

								self.tokenizer_integration_test_util(
								    expected_encoding=snake_case_			,							model_name='''facebook/s2t-small-mustc-en-de-st'''			,							revision='''a14f04cf0776c02f62a8cb800cf7909e15ea23ad'''			,							)




@require_sentencepiece
class 						lowerCamelCase_							(					unittest.TestCase					):



					'''simple docstring'''







					__UpperCAmelCase							  =					"valhalla/s2t_mustc_multilinguial_medium"

					__UpperCAmelCase							  =					"C'est trop cool"
					__UpperCAmelCase							  =					"Esto es genial"






					@classmethod
					def A   (					cls    ) ->      Tuple:







								'''simple docstring'''

								__lowercase			       = SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name    )
								return cls






					def A   (					self    ) ->      str:







								'''simple docstring'''

								self.assertEqual(self.tokenizer.lang_code_to_id['''pt''']			,							4    )
								self.assertEqual(self.tokenizer.lang_code_to_id['''ru''']			,							6    )
								self.assertEqual(self.tokenizer.lang_code_to_id['''it''']			,							9    )
								self.assertEqual(self.tokenizer.lang_code_to_id['''de''']			,							1_1    )






					def A   (					self    ) ->      Dict:







								'''simple docstring'''

								self.assertEqual(self.tokenizer.vocab_size			,							1_0_0_0_0    )






					def A   (					self    ) ->      Dict:







								'''simple docstring'''

								self.assertIn(snake_case_			,							self.tokenizer.all_special_ids    )
								__lowercase			       = [ES_CODE, 4, 1_6_0_1, 4_7, 7_6_4_7, 2]
								__lowercase			       = self.tokenizer.decode(snake_case_			,							skip_special_tokens=snake_case_    )
								__lowercase			       = self.tokenizer.decode(generated_ids[1:]			,							skip_special_tokens=snake_case_    )
								self.assertEqual(snake_case_			,							snake_case_    )
								self.assertNotIn(self.tokenizer.eos_token			,							snake_case_    )






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







								'''simple docstring'''

								__lowercase			       = '''fr'''
								__lowercase			       = self.tokenizer(self.french_text    ).input_ids
								self.assertEqual(encoded[0]			,							snake_case_    )
								self.assertEqual(encoded[-1]			,							self.tokenizer.eos_token_id    )






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







								'''simple docstring'''

								__lowercase			       = '''fr'''
								self.assertListEqual(self.tokenizer.prefix_tokens			,							[FR_CODE]    )

								__lowercase			       = '''es'''
								self.assertListEqual(self.tokenizer.prefix_tokens			,							[ES_CODE]    )






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 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase=True							,      _UpperCamelCase="pt"	):


			'''simple docstring'''







			__lowercase			       = {'''add_prefix_space''': True} if isinstance(_UpperCamelCase							,      _UpperCamelCase	) and not line.startswith(''' '''	) else {}
			__lowercase			       = 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 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase=None							,      ):


			'''simple docstring'''







			__lowercase			       = 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_							(					lowerCAmelCase__					):



					'''simple docstring'''







					def __init__(					self			,							snake_case_			,							snake_case_			,							snake_case_			,							snake_case_			,							snake_case_="train"			,							snake_case_=None			,							snake_case_=None			,							snake_case_=None			,							snake_case_=""			,							) ->      Tuple:







								'''simple docstring'''

								super().__init__()
								__lowercase			       = Path(snake_case_    ).joinpath(type_path + '''.source'''    )
								__lowercase			       = Path(snake_case_    ).joinpath(type_path + '''.target'''    )
								__lowercase			       = self.get_char_lens(self.src_file    )
								__lowercase			       = max_source_length
								__lowercase			       = max_target_length
								assert min(self.src_lens    ) > 0, F'found empty line in {self.src_file}'
								__lowercase			       = tokenizer
								__lowercase			       = prefix
								if n_obs is not None:
											__lowercase			       = self.src_lens[:n_obs]
								__lowercase			       = src_lang
								__lowercase			       = tgt_lang






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







								'''simple docstring'''

								return len(self.src_lens    )






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







								'''simple docstring'''

								__lowercase			       = index + 1  # linecache starts at 1
								__lowercase			       = self.prefix + linecache.getline(str(self.src_file    )			,							snake_case_    ).rstrip('''\n'''    )
								__lowercase			       = linecache.getline(str(self.tgt_file    )			,							snake_case_    ).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			,							snake_case_    ):
											source_line += self.tokenizer.eos_token
											tgt_line += self.tokenizer.eos_token

								# Pad source and target to the right
								__lowercase			       = (
								    self.tokenizer.question_encoder if isinstance(self.tokenizer			,							snake_case_    ) else self.tokenizer
								)
								__lowercase			       = self.tokenizer.generator if isinstance(self.tokenizer			,							snake_case_    ) else self.tokenizer

								__lowercase			       = encode_line(snake_case_			,							snake_case_			,							self.max_source_length			,							'''right'''    )
								__lowercase			       = encode_line(snake_case_			,							snake_case_			,							self.max_target_length			,							'''right'''    )

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






					@staticmethod
					def A   (					snake_case_    ) ->      Any:







								'''simple docstring'''

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






					def A   (					self			,							snake_case_    ) ->      Dict[str, torch.Tensor]:







								'''simple docstring'''

								__lowercase			       = torch.stack([x['''input_ids'''] for x in batch]    )
								__lowercase			       = torch.stack([x['''attention_mask'''] for x in batch]    )
								__lowercase			       = torch.stack([x['''decoder_input_ids'''] for x in batch]    )
								__lowercase			       = (
								    self.tokenizer.generator.pad_token_id
								    if isinstance(self.tokenizer			,							snake_case_    )
								    else self.tokenizer.pad_token_id
								)
								__lowercase			       = (
								    self.tokenizer.question_encoder.pad_token_id
								    if isinstance(self.tokenizer			,							snake_case_    )
								    else self.tokenizer.pad_token_id
								)
								__lowercase			       = trim_batch(snake_case_			,							snake_case_    )
								__lowercase       ,			__lowercase			       = trim_batch(snake_case_			,							snake_case_			,							attention_mask=snake_case_    )
								__lowercase			       = {
								    '''input_ids''': source_ids,
								    '''attention_mask''': source_mask,
								    '''decoder_input_ids''': y,
								}
								return batch




a			:			int												=					getLogger(__name__)


def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







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


def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







			__lowercase			       = get_git_info()
			save_json(_UpperCamelCase							,      os.path.join(_UpperCamelCase							,      '''git_log.json'''	)	)


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase=4							,      **_UpperCamelCase	):


			'''simple docstring'''







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


def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







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


def 		lowercase_	(  ):


			'''simple docstring'''







			__lowercase			       = git.Repo(search_parent_directories=_UpperCamelCase	)
			__lowercase			       = {
			    '''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 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







			return list(map(_UpperCamelCase							,      _UpperCamelCase	)	)


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







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


def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







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

			def white_space_fix(_UpperCamelCase	):
						return " ".join(text.split()	)

			def remove_punc(_UpperCamelCase	):
						__lowercase			       = set(string.punctuation	)
						return "".join(ch for ch in text if ch not in exclude	)

			def lower(_UpperCamelCase	):
						return text.lower()

			return white_space_fix(remove_articles(remove_punc(lower(_UpperCamelCase	)	)	)	)


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







			__lowercase			       = normalize_answer(_UpperCamelCase	).split()
			__lowercase			       = normalize_answer(_UpperCamelCase	).split()
			__lowercase			       = Counter(_UpperCamelCase	) & Counter(_UpperCamelCase	)
			__lowercase			       = sum(common.values()	)
			if num_same == 0:
						return 0
			__lowercase			       = 1.0 * num_same / len(_UpperCamelCase	)
			__lowercase			       = 1.0 * num_same / len(_UpperCamelCase	)
			__lowercase			       = (2 * precision * recall) / (precision + recall)
			return fa


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







			return normalize_answer(_UpperCamelCase	) == normalize_answer(_UpperCamelCase	)


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







			assert len(_UpperCamelCase	) == len(_UpperCamelCase	)
			__lowercase			       = 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 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







			return model_prefix.startswith('''rag'''	)





def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







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


