






import gzip
import hashlib
import json
import multiprocessing
import os
import re
import shutil
import time
from pathlib import Path

import numpy as np
from arguments import PreprocessingArguments
from datasets import load_dataset
from minhash_deduplication import deduplicate_dataset

from transformers import AutoTokenizer, HfArgumentParser


_UpperCAmelCase			:		str   				=    re.compile(r"\s+")





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]       )		->    List[str]:


				'''simple docstring'''




				return {"hash": hashlib.mda(re.sub(lowercase__     ,					''''''     ,					example['''content''']       ).encode('''utf-8'''       )       ).hexdigest()}





def 	lowerCAmelCase_		(lowercase__						:       Dict       )		->    Tuple:


				'''simple docstring'''




				lowerCAmelCase__      			=						[len(lowercase__       ) for line in example['''content'''].splitlines()]
				return {"line_mean": np.mean(lowercase__       ), "line_max": max(lowercase__       )}





def 	lowerCAmelCase_		(lowercase__						:       Tuple       )		->    Optional[int]:


				'''simple docstring'''




				lowerCAmelCase__      			=						np.mean([c.isalnum() for c in example['''content''']]       )
				return {"alpha_frac": alpha_frac}





def 	lowerCAmelCase_		(lowercase__						:       Optional[Any]     ,					lowercase__						:       Dict       )		->    List[Any]:


				'''simple docstring'''




				if example["hash"] in uniques:
								uniques.remove(example['''hash''']       )
								return True
				else:
								return False





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]     ,					lowercase__						:       Any=5       )		->    Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						['''auto-generated''', '''autogenerated''', '''automatically generated''']
				lowerCAmelCase__      			=						example['''content'''].splitlines()
				for _, line in zip(range(lowercase__       )     ,					lowercase__       ):
								for keyword in keywords:
												if keyword in line.lower():
																return {"autogenerated": True}
				else:
								return {"autogenerated": False}





def 	lowerCAmelCase_		(lowercase__						:       Dict     ,					lowercase__						:       Any=5     ,					lowercase__						:       Union[str, Any]=0.05       )		->    Union[str, Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						['''unit tests''', '''test file''', '''configuration file''']
				lowerCAmelCase__      			=						example['''content'''].splitlines()
				lowerCAmelCase__      			=						0
				lowerCAmelCase__      			=						0
				# first test
				for _, line in zip(range(lowercase__       )     ,					lowercase__       ):
								for keyword in keywords:
												if keyword in line.lower():
																return {"config_or_test": True}
    # second test
				lowerCAmelCase__      			=						example['''content'''].count('''\n'''       )
				lowerCAmelCase__      			=						int(coeff * nlines       )
				for line in lines:
								count_config += line.lower().count('''config'''       )
								count_test += line.lower().count('''test'''       )
								if count_config > threshold or count_test > threshold:
												return {"config_or_test": True}
				return {"config_or_test": False}





def 	lowerCAmelCase_		(lowercase__						:       str       )		->    List[str]:


				'''simple docstring'''




				lowerCAmelCase__      			=						['''def ''', '''class ''', '''for ''', '''while ''']
				lowerCAmelCase__      			=						example['''content'''].splitlines()
				for line in lines:
								for keyword in keywords:
												if keyword in line.lower():
																return {"has_no_keywords": False}
				return {"has_no_keywords": True}





def 	lowerCAmelCase_		(lowercase__						:       List[str]     ,					lowercase__						:       List[Any]=4       )		->    str:


				'''simple docstring'''




				lowerCAmelCase__      			=						example['''content'''].splitlines()
				lowerCAmelCase__      			=						0
				for line in lines:
								counter += line.lower().count('''='''       )
								if counter > minimum:
												return {"has_few_assignments": False}
				return {"has_few_assignments": True}





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]       )		->    Dict:


				'''simple docstring'''




				lowerCAmelCase__      			=						tokenizer(example['''content''']     ,					truncation=lowercase__       )['''input_ids''']
				lowerCAmelCase__      			=						len(example['''content''']       ) / len(lowercase__       )
				return {"ratio": ratio}





def 	lowerCAmelCase_		(lowercase__						:       List[Any]       )		->    Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						{}
				results.update(get_hash(lowercase__       )       )
				results.update(line_stats(lowercase__       )       )
				results.update(alpha_stats(lowercase__       )       )
				results.update(char_token_ratio(lowercase__       )       )
				results.update(is_autogenerated(lowercase__       )       )
				results.update(is_config_or_test(lowercase__       )       )
				results.update(has_no_keywords(lowercase__       )       )
				results.update(has_few_assignments(lowercase__       )       )
				return results





def 	lowerCAmelCase_		(lowercase__						:       Optional[Any]     ,					lowercase__						:       Tuple     ,					lowercase__						:       Dict       )		->    int:


				'''simple docstring'''




				if not check_uniques(lowercase__     ,					lowercase__       ):
								return False
				elif example["autogenerated"]:
								return False
				elif example["line_max"] > args.line_max:
								return False
				elif example["line_mean"] > args.line_mean:
								return False
				elif example["alpha_frac"] < args.alpha_frac:
								return False
				elif example["ratio"] < args.min_token_ratio:
								return False
				elif example["config_or_test"] and np.random.rand() <= args.filter_proba:
								return False
				elif example["has_no_keywords"] and np.random.rand() <= args.filter_proba:
								return False
				elif example["has_few_assignments"]:
								return False
				else:
								return True





def 	lowerCAmelCase_		(lowercase__						:       Dict       )		->    Any:


				'''simple docstring'''




				with open(lowercase__     ,					'''rb'''       ) as f_in:
								with gzip.open(str(lowercase__       ) + '''.gz'''     ,					'''wb'''     ,					compresslevel=6       ) as f_out:
												shutil.copyfileobj(lowercase__     ,					lowercase__       )
				os.unlink(lowercase__       )


# Settings
_UpperCAmelCase			:		Optional[Any]   				=    HfArgumentParser(PreprocessingArguments)
_UpperCAmelCase			:		str   				=    parser.parse_args()
if args.num_workers is None:
			_UpperCAmelCase			:		Dict   				=    multiprocessing.cpu_count()
_UpperCAmelCase			:		Optional[int]   				=    AutoTokenizer.from_pretrained(args.tokenizer_dir)

# Load dataset
_UpperCAmelCase			:		Tuple   				=    time.time()
_UpperCAmelCase			:		Dict   				=    load_dataset(args.dataset_name, split="train")
print(F'''Time to load dataset: {time.time()-t_start:.2f}''')

# Run preprocessing
_UpperCAmelCase			:		Union[str, Any]   				=    time.time()
_UpperCAmelCase			:		int   				=    ds.map(preprocess, num_proc=args.num_workers)
print(F'''Time to preprocess dataset: {time.time()-t_start:.2f}''')

# Deduplicate hashes
_UpperCAmelCase			:		Optional[int]   				=    set(ds.unique("hash"))
_UpperCAmelCase			:		Optional[Any]   				=    len(uniques) / len(ds)
print(F'''Fraction of duplicates: {1-frac:.2%}''')

# Deduplicate data and apply heuristics
_UpperCAmelCase			:		Optional[int]   				=    time.time()
_UpperCAmelCase			:		Optional[Any]   				=    ds.filter(filter, fn_kwargs={"uniques": uniques, "args": args})
print(F'''Time to filter dataset: {time.time()-t_start:.2f}''')
print(F'''Size of filtered dataset: {len(ds_filter)}''')

# Deduplicate with minhash and jaccard similarity
if args.near_deduplication:
			_UpperCAmelCase			:		Union[str, Any]   				=    time.time()
			_UpperCAmelCase				,   _UpperCAmelCase			:		str   				=    deduplicate_dataset(ds_filter, args.jaccard_threshold)
			print(F'''Time to deduplicate dataset: {time.time()-t_start:.2f}''')
			print(F'''Size of deduplicate dataset: {len(ds_filter)}''')

# Save data in batches of samples_per_file
_UpperCAmelCase			:		List[str]   				=    Path(args.output_dir)
output_dir.mkdir(exist_ok=True)

# save duplicate_clusters in the output_dir as artifacts
# not sure it is the right place the save it
if args.near_deduplication:
			with open(output_dir / "duplicate_clusters.json", "w") as f:
						json.dump(duplicate_clusters, f)

_UpperCAmelCase			:		Any   				=    output_dir / "data"
data_dir.mkdir(exist_ok=True)

_UpperCAmelCase			:		Union[str, Any]   				=    time.time()
for file_number, index in enumerate(range(0, len(ds_filter), args.samples_per_file)):
			_UpperCAmelCase			:		Union[str, Any]   				=    str(data_dir / F'''file-{file_number+1:012}.json''')
			_UpperCAmelCase			:		Union[str, Any]   				=    min(len(ds_filter), index + args.samples_per_file)
			ds_filter.select(list(range(index, end_index))).to_json(file_path)
			compress_file(file_path)




print(F'''Time to save dataset: {time.time()-t_start:.2f}''')













import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase			:		int   				=    logging.get_logger(__name__)


_UpperCAmelCase			:		List[Any]   				=    {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
_UpperCAmelCase			:		Dict   				=    {
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

_UpperCAmelCase			:		Tuple   				=    {
    "facebook/bart-base": 1_024,
    "facebook/bart-large": 1_024,
    "facebook/bart-large-mnli": 1_024,
    "facebook/bart-large-cnn": 1_024,
    "facebook/bart-large-xsum": 1_024,
    "yjernite/bart_eli5": 1_024,
}





@lru_cache()
def 	lowerCAmelCase_		()		->    Union[str, Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						(
				    list(range(ord('''!'''       )     ,					ord('''~'''       ) + 1       )       ) + list(range(ord('''¡'''       )     ,					ord('''¬'''       ) + 1       )       ) + list(range(ord('''®'''       )     ,					ord('''ÿ'''       ) + 1       )       )
				)
				lowerCAmelCase__      			=						bs[:]
				lowerCAmelCase__      			=						0
				for b in range(2**8       ):
								if b not in bs:
												bs.append(lowercase__       )
												cs.append(2**8 + n       )
												n += 1
				lowerCAmelCase__      			=						[chr(lowercase__       ) for n in cs]
				return dict(zip(lowercase__     ,					lowercase__       )       )





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]       )		->    Optional[int]:


				'''simple docstring'''




				lowerCAmelCase__      			=						set()
				lowerCAmelCase__      			=						word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)       )
								lowerCAmelCase__      			=						char
				return pairs




class  lowerCAmelCase_       (				snake_case__					):
							UpperCamelCase_		:List[str]		      =    VOCAB_FILES_NAMES
							UpperCamelCase_		:Union[str, Any]		      =    PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase_		:Union[str, Any]		      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase_		:str		      =    ['input_ids', 'attention_mask']




							def __init__(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   int="replace" ,							SCREAMING_SNAKE_CASE_     :   Tuple="<s>" ,							SCREAMING_SNAKE_CASE_     :   Any="</s>" ,							SCREAMING_SNAKE_CASE_     :   List[Any]="</s>" ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]="<s>" ,							SCREAMING_SNAKE_CASE_     :   Any="<unk>" ,							SCREAMING_SNAKE_CASE_     :   int="<pad>" ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]="<mask>" ,							SCREAMING_SNAKE_CASE_     :   Tuple=False ,							**SCREAMING_SNAKE_CASE_     :   Dict ,							):
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else bos_token
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else eos_token
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else sep_token
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else cls_token
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else unk_token
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else pad_token

											# Mask token behave like a normal word, i.e. include the space before it
											lowerCAmelCase__      			=						AddedToken(SCREAMING_SNAKE_CASE_ ,							lstrip=SCREAMING_SNAKE_CASE_ ,							rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) else mask_token

											super().__init__(
											    errors=SCREAMING_SNAKE_CASE_ ,							bos_token=SCREAMING_SNAKE_CASE_ ,							eos_token=SCREAMING_SNAKE_CASE_ ,							unk_token=SCREAMING_SNAKE_CASE_ ,							sep_token=SCREAMING_SNAKE_CASE_ ,							cls_token=SCREAMING_SNAKE_CASE_ ,							pad_token=SCREAMING_SNAKE_CASE_ ,							mask_token=SCREAMING_SNAKE_CASE_ ,							add_prefix_space=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_ ,							)

											with open(SCREAMING_SNAKE_CASE_ ,							encoding='''utf-8'''	) as vocab_handle:
															lowerCAmelCase__      			=						json.load(SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						{v: k for k, v in self.encoder.items()}
											lowerCAmelCase__      			=						errors  # how to handle errors in decoding
											lowerCAmelCase__      			=						bytes_to_unicode()
											lowerCAmelCase__      			=						{v: k for k, v in self.byte_encoder.items()}
											with open(SCREAMING_SNAKE_CASE_ ,							encoding='''utf-8'''	) as merges_handle:
															lowerCAmelCase__      			=						merges_handle.read().split('''\n'''	)[1:-1]
											lowerCAmelCase__      			=						[tuple(merge.split()	) for merge in bpe_merges]
											lowerCAmelCase__      			=						dict(zip(SCREAMING_SNAKE_CASE_ ,							range(len(SCREAMING_SNAKE_CASE_	)	)	)	)
											lowerCAmelCase__      			=						{}
											lowerCAmelCase__      			=						add_prefix_space

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											lowerCAmelCase__      			=						re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''	)




							@property
							def 						__snake_case					(   self     :   List[str]	):
											return len(self.encoder	)




							def 						__snake_case					(   self     :   Union[str, Any]	):
											return dict(self.encoder ,							**self.added_tokens_encoder	)




							def 						__snake_case					(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   Tuple	):
											if token in self.cache:
															return self.cache[token]
											lowerCAmelCase__      			=						tuple(SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						get_pairs(SCREAMING_SNAKE_CASE_	)

											if not pairs:
															return token

											while True:
															lowerCAmelCase__      			=						min(SCREAMING_SNAKE_CASE_ ,							key=lambda SCREAMING_SNAKE_CASE_	: self.bpe_ranks.get(SCREAMING_SNAKE_CASE_ ,							float('''inf'''	)	)	)
															if bigram not in self.bpe_ranks:
																			break
															lowerCAmelCase__			,		lowerCAmelCase__      			=						bigram
															lowerCAmelCase__      			=						[]
															lowerCAmelCase__      			=						0
															while i < len(SCREAMING_SNAKE_CASE_	):
																			try:
																							lowerCAmelCase__      			=						word.index(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	)
																			except ValueError:
																							new_word.extend(word[i:]	)
																							break
																			else:
																							new_word.extend(word[i:j]	)
																							lowerCAmelCase__      			=						j

																			if word[i] == first and i < len(SCREAMING_SNAKE_CASE_	) - 1 and word[i + 1] == second:
																							new_word.append(first + second	)
																							i += 2
																			else:
																							new_word.append(word[i]	)
																							i += 1
															lowerCAmelCase__      			=						tuple(SCREAMING_SNAKE_CASE_	)
															lowerCAmelCase__      			=						new_word
															if len(SCREAMING_SNAKE_CASE_	) == 1:
																			break
															else:
																			lowerCAmelCase__      			=						get_pairs(SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						''' '''.join(SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						word
											return word




							def 						__snake_case					(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   Any	):
											lowerCAmelCase__      			=						[]
											for token in re.findall(self.pat ,							SCREAMING_SNAKE_CASE_	):
															lowerCAmelCase__      			=						''''''.join(
															    self.byte_encoder[b] for b in token.encode('''utf-8'''	)	)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
															bpe_tokens.extend(bpe_token for bpe_token in self.bpe(SCREAMING_SNAKE_CASE_	).split(''' '''	)	)
											return bpe_tokens




							def 						__snake_case					(   self     :   Any ,							SCREAMING_SNAKE_CASE_     :   List[Any]	):
											return self.encoder.get(SCREAMING_SNAKE_CASE_ ,							self.encoder.get(self.unk_token	)	)




							def 						__snake_case					(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   str	):
											return self.decoder.get(SCREAMING_SNAKE_CASE_	)




							def 						__snake_case					(   self     :   Any ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]	):
											lowerCAmelCase__      			=						''''''.join(SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						bytearray([self.byte_decoder[c] for c in text]	).decode('''utf-8''' ,							errors=self.errors	)
											return text




							def 						__snake_case					(   self     :   str ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   Optional[str] = None	):
											if not os.path.isdir(SCREAMING_SNAKE_CASE_	):
															logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
															return
											lowerCAmelCase__      			=						os.path.join(
											    SCREAMING_SNAKE_CASE_ ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
											lowerCAmelCase__      			=						os.path.join(
											    SCREAMING_SNAKE_CASE_ ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']	)

											with open(SCREAMING_SNAKE_CASE_ ,							'''w''' ,							encoding='''utf-8'''	) as f:
															f.write(json.dumps(self.encoder ,							indent=2 ,							sort_keys=SCREAMING_SNAKE_CASE_ ,							ensure_ascii=SCREAMING_SNAKE_CASE_	) + '''\n'''	)

											lowerCAmelCase__      			=						0
											with open(SCREAMING_SNAKE_CASE_ ,							'''w''' ,							encoding='''utf-8'''	) as writer:
															writer.write('''#version: 0.2\n'''	)
															for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,							key=lambda SCREAMING_SNAKE_CASE_	: kv[1]	):
																			if index != token_index:
																							logger.warning(
																							    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																							    ''' Please check that the tokenizer is not corrupted!'''	)
																							lowerCAmelCase__      			=						token_index
																			writer.write(''' '''.join(SCREAMING_SNAKE_CASE_	) + '''\n'''	)
																			index += 1

											return vocab_file, merge_file




							def 						__snake_case					(   self     :   int ,							SCREAMING_SNAKE_CASE_     :   List[int] ,							SCREAMING_SNAKE_CASE_     :   Optional[List[int]] = None	):
											if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											lowerCAmelCase__      			=						[self.cls_token_id]
											lowerCAmelCase__      			=						[self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep




							def 						__snake_case					(   self     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   List[int] ,							SCREAMING_SNAKE_CASE_     :   Optional[List[int]] = None ,							SCREAMING_SNAKE_CASE_     :   bool = False	):
											if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=SCREAMING_SNAKE_CASE_ ,							token_ids_a=SCREAMING_SNAKE_CASE_ ,							already_has_special_tokens=SCREAMING_SNAKE_CASE_	)

											if token_ids_a is None:
															return [1] + ([0] * len(SCREAMING_SNAKE_CASE_	)) + [1]
											return [1] + ([0] * len(SCREAMING_SNAKE_CASE_	)) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE_	)) + [1]




							def 						__snake_case					(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   List[int] ,							SCREAMING_SNAKE_CASE_     :   Optional[List[int]] = None	):
											lowerCAmelCase__      			=						[self.sep_token_id]
											lowerCAmelCase__      			=						[self.cls_token_id]

											if token_ids_a is None:
															return len(cls + token_ids_a + sep	) * [0]
											return len(cls + token_ids_a + sep + sep + token_ids_a + sep	) * [0]




							def 						__snake_case					(   self     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=False ,							**SCREAMING_SNAKE_CASE_     :   Optional[int]	):
											lowerCAmelCase__      			=						kwargs.pop('''add_prefix_space''' ,							self.add_prefix_space	)
											if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE_	) > 0 and not text[0].isspace()):
															lowerCAmelCase__      			=						''' ''' + text
											return (text, kwargs)





