
"""simple docstring"""


import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowercase							   =				logging.get_logger(__name__)

_lowercase							   =				{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

_lowercase							   =				{
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

_lowercase							   =				{
    '''vinai/phobert-base''': 2_56,
    '''vinai/phobert-large''': 2_56,
}






def 						_snake_case				(		snake_case__   :     Any     ):
	A						   =   set()
	A						   =   word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)     )
		A						   =   char

	A						   =   set(_snake_case     )
	return pairs







class 				lowerCAmelCase_				(      __UpperCAmelCase    ):



						'''simple docstring'''


						_lowerCamelCase:    Union[str, Any]      =    VOCAB_FILES_NAMES
						_lowerCamelCase:    Optional[Any]      =    PRETRAINED_VOCAB_FILES_MAP
						_lowerCamelCase:    Optional[int]      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


						def __init__( self     :      Optional[Any]  ,A_     :      Dict  ,A_     :      int  ,A_     :      List[str]="<s>"  ,A_     :      Optional[int]="</s>"  ,A_     :      Union[str, Any]="</s>"  ,A_     :      Any="<s>"  ,A_     :      Optional[int]="<unk>"  ,A_     :      Dict="<pad>"  ,A_     :      str="<mask>"  ,**A_     :      List[Any]  ,)     ->   Optional[Any]:
							super().__init__(
							    bos_token=UpperCAmelCase_  ,eos_token=UpperCAmelCase_  ,unk_token=UpperCAmelCase_  ,sep_token=UpperCAmelCase_  ,cls_token=UpperCAmelCase_  ,pad_token=UpperCAmelCase_  ,mask_token=UpperCAmelCase_  ,**UpperCAmelCase_  ,)

							A						   =   vocab_file
							A						   =   merges_file

							A						   =   {}
							A						   =   0
							A						   =   1
							A						   =   2
							A						   =   3

							self.add_from_file(UpperCAmelCase_      )

							A						   =   {v: k for k, v in self.encoder.items()}

							with open(UpperCAmelCase_  ,encoding='utf-8'      ) as merges_handle:
								A						   =   merges_handle.read().split('\n'      )[:-1]
							A						   =   [tuple(merge.split()[:-1]      ) for merge in merges]
							A						   =   dict(zip(UpperCAmelCase_  ,range(len(UpperCAmelCase_      )      )      )      )
							A						   =   {}


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Tuple  ,A_     :      Tuple  ,A_     :      Optional[Any] = None      )     ->   str:

							if token_ids_a is None:
								return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							A						   =   [self.cls_token_id]
							A						   =   [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Tuple  ,A_     :      int  ,A_     :      Optional[Any] = None  ,A_     :      List[Any] = False      )     ->   Optional[int]:

							if already_has_special_tokens:
								return super().get_special_tokens_mask(
								    token_ids_a=UpperCAmelCase_  ,token_ids_a=UpperCAmelCase_  ,already_has_special_tokens=UpperCAmelCase_      )

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


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[Any]  ,A_     :      int  ,A_     :      int = None      )     ->   int:
							A						   =   [self.sep_token_id]
							A						   =   [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]


						@property
						def 						_SCREAMING_SNAKE_CASE      ( self     :      int      )     ->   Optional[int]:
							return len(self.encoder      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Union[str, Any]      )     ->   Optional[Any]:
							return dict(self.encoder  ,**self.added_tokens_encoder      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      str  ,A_     :      int      )     ->   Optional[int]:
							if token in self.cache:
								return self.cache[token]
							A						   =   tuple(UpperCAmelCase_      )
							A						   =   tuple(list(word[:-1]      ) + [word[-1] + '</w>']      )
							A						   =   get_pairs(UpperCAmelCase_      )

							if not pairs:
								return token

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

									if word[i] == first and i < len(UpperCAmelCase_      ) - 1 and word[i + 1] == second:
										new_word.append(first + second      )
										i += 2
									else:
										new_word.append(word[i]      )
										i += 1
								A						   =   tuple(UpperCAmelCase_      )
								A						   =   new_word
								if len(UpperCAmelCase_      ) == 1:
									break
								else:
									A						   =   get_pairs(UpperCAmelCase_      )
							A						   =   '@@ '.join(UpperCAmelCase_      )
							A						   =   word[:-4]
							A						   =   word
							return word


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Any  ,A_     :      Optional[Any]      )     ->   Dict:
							A						   =   []

							A						   =   re.findall(R'\S+\n?'  ,UpperCAmelCase_      )

							for token in words:
								split_tokens.extend(list(self.bpe(UpperCAmelCase_      ).split(' '      )      )      )
							return split_tokens


						def 						_SCREAMING_SNAKE_CASE      ( self     :      List[Any]  ,A_     :      Any      )     ->   Optional[int]:
							return self.encoder.get(UpperCAmelCase_  ,self.encoder.get(self.unk_token      )      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[int]  ,A_     :      Any      )     ->   Tuple:
							return self.decoder.get(UpperCAmelCase_  ,self.unk_token      )


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Tuple  ,A_     :      Optional[int]      )     ->   Tuple:
							A						   =   ' '.join(UpperCAmelCase_      ).replace('@@ '  ,''      ).strip()
							return out_string


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Optional[int]  ,A_     :      Tuple  ,A_     :      str = None      )     ->   Union[str, Any]:
							if not os.path.isdir(UpperCAmelCase_      ):
								logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
								return
							A						   =   os.path.join(
							    UpperCAmelCase_  ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
							A						   =   os.path.join(
							    UpperCAmelCase_  ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

							if os.path.abspath(self.vocab_file      ) != os.path.abspath(UpperCAmelCase_      ):
								copyfile(self.vocab_file  ,UpperCAmelCase_      )

							if os.path.abspath(self.merges_file      ) != os.path.abspath(UpperCAmelCase_      ):
								copyfile(self.merges_file  ,UpperCAmelCase_      )

							return out_vocab_file, out_merge_file




						def 						_SCREAMING_SNAKE_CASE      ( self     :      str  ,A_     :      List[str]      )     ->   Union[str, Any]:
							if isinstance(UpperCAmelCase_  ,UpperCAmelCase_      ):
								try:
									with open(UpperCAmelCase_  ,'r'  ,encoding='utf-8'      ) as fd:
										self.add_from_file(UpperCAmelCase_      )
								except FileNotFoundError as fnfe:
									raise fnfe
								except UnicodeError:
									raise Exception(F'Incorrect encoding detected in {f}, please rebuild the dataset'      )
								return

							A						   =   f.readlines()
							for lineTmp in lines:
								A						   =   lineTmp.strip()
								A						   =   line.rfind(' '      )
								if idx == -1:
									raise ValueError('Incorrect dictionary format, expected \'<token> <cnt>\''      )
								A						   =   line[:idx]
								A						   =   len(self.encoder      )

"""simple docstring"""


from math import pi, sqrt






def       _snake_case				(		snake_case__   :     float     ):
	if num <= 0:
		raise ValueError('math domain error'     )
	if num > 171.5:
		raise OverflowError('math range error'     )
	elif num - int(snake_case__     ) not in (0, 0.5):
		raise NotImplementedError('num must be an integer or a half-integer'     )
	elif num == 0.5:
		return sqrt(snake_case__     )
	else:
		return 1.0 if num == 1 else (num - 1) * gamma(num - 1     )






def       _snake_case				(		):
	assert gamma(0.5     ) == sqrt(snake_case__     )
	assert gamma(1     ) == 1.0
	assert gamma(2     ) == 1.0


if __name__ == "__main__":
		from doctest import testmod

		testmod()
		_lowercase							   =				1.0
		while num:
				_lowercase							   =				float(input('''Gamma of: '''))
				print(F"""gamma({num}) = {gamma(num)}""")
				print('''\nEnter 0 to exit...''')