

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


A_       : List[Any]         =			logging.get_logger(__name__)


A_       : Union[str, Any]         =			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

A_       : Optional[Any]         =			{
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

A_       : int         =			{
    'allenai/longformer-base-4096': 4096,
    'allenai/longformer-large-4096': 4096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4096,
}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 						UpperCamelCase					()     ->      str:
	A__							:    Tuple        =		(
	    list(range(ord("""!"""					)    ,      ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					)    ,      ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					)    ,      ord("""ÿ"""					) + 1					)					)
	)
	A__							:    List[Any]        =		bs[:]
	A__							:    Tuple        =		0
	for b in range(2**8					):
		if b not in bs:
			bs.append(lowercase_					)
			cs.append(2**8 + n					)
			n += 1
	A__							:    Union[str, Any]        =		[chr(lowercase_					) for n in cs]
	return dict(zip(lowercase_    ,      lowercase_					)					)

def 						UpperCamelCase					(lowercase_: List[Any]					)     ->      Any:
	A__							:    Optional[Any]        =		set()
	A__							:    Union[str, Any]        =		word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)					)
		A__							:    Any        =		char
	return pairs



class     _a						(__magic_name__				):


					'''simple docstring'''






					UpperCAmelCase__:   Dict  							=       VOCAB_FILES_NAMES
					UpperCAmelCase__:   Optional[Any]  							=       PRETRAINED_VOCAB_FILES_MAP
					UpperCAmelCase__:   Optional[Any]  							=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCAmelCase__:   int  							=       ['''input_ids''', '''attention_mask''']






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

						# Mask token behave like a normal word, i.e. include the space before it
						A__							:    Union[str, Any]        =		AddedToken(A__    ,       lstrip=A__    ,       rstrip=A__			) if isinstance(A__    ,       A__			) else mask_token

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

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

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






					@property
					def   __A			( self			):
						return len(self.encoder			)






					def   __A			( self			):
						return dict(self.encoder    ,       **self.added_tokens_encoder			)






					def   __A			( self    ,       A__			):
						if token in self.cache:
							return self.cache[token]
						A__							:    Optional[int]        =		tuple(A__			)
						A__							:    Union[str, Any]        =		get_pairs(A__			)

						if not pairs:
							return token

						while True:
							A__							:    List[str]        =		min(A__    ,       key=lambda A__			: self.bpe_ranks.get(A__    ,       float("""inf"""			)			)			)
							if bigram not in self.bpe_ranks:
								break
							A__   ,   A__							:    Dict        =		bigram
							A__							:    List[Any]        =		[]
							A__							:    Optional[Any]        =		0
							while i < len(A__			):
								try:
									A__							:    Optional[Any]        =		word.index(A__    ,       A__			)
								except ValueError:
									new_word.extend(word[i:]			)
									break
								else:
									new_word.extend(word[i:j]			)
									A__							:    Dict        =		j

								if word[i] == first and i < len(A__			) - 1 and word[i + 1] == second:
									new_word.append(first + second			)
									i += 2
								else:
									new_word.append(word[i]			)
									i += 1
							A__							:    List[str]        =		tuple(A__			)
							A__							:    List[str]        =		new_word
							if len(A__			) == 1:
								break
							else:
								A__							:    Optional[Any]        =		get_pairs(A__			)
						A__							:    Any        =		""" """.join(A__			)
						A__							:    str        =		word
						return word






					def   __A			( self    ,       A__			):
						A__							:    Union[str, Any]        =		[]
						for token in re.findall(self.pat    ,       A__			):
							A__							:    Optional[int]        =		"""""".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(A__			).split(""" """			)			)
						return bpe_tokens






					def   __A			( self    ,       A__			):
						return self.encoder.get(A__    ,       self.encoder.get(self.unk_token			)			)






					def   __A			( self    ,       A__			):
						return self.decoder.get(A__			)






					def   __A			( self    ,       A__			):
						A__							:    Dict        =		"""""".join(A__			)
						A__							:    List[Any]        =		bytearray([self.byte_decoder[c] for c in text]			).decode("""utf-8"""    ,       errors=self.errors			)
						return text






					def   __A			( self    ,       A__    ,       A__ = None			):
						if not os.path.isdir(A__			):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""			)
							return
						A__							:    Tuple        =		os.path.join(
						    A__    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)
						A__							:    Tuple        =		os.path.join(
						    A__    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]			)

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

						A__							:    int        =		0
						with open(A__    ,       """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 A__			: 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!"""			)
									A__							:    List[str]        =		token_index
								writer.write(""" """.join(A__			) + """\n"""			)
								index += 1

						return vocab_file, merge_file






					def   __A			( self    ,       A__    ,       A__ = None			):
						if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						A__							:    Any        =		[self.cls_token_id]
						A__							:    List[str]        =		[self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep






					def   __A			( self    ,       A__    ,       A__ = None    ,       A__ = False			):
						if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=A__    ,       token_ids_a=A__    ,       already_has_special_tokens=A__			)

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






					def   __A			( self    ,       A__    ,       A__ = None			):
						A__							:    Union[str, Any]        =		[self.sep_token_id]
						A__							:    str        =		[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   __A			( self    ,       A__    ,       A__=False    ,       **A__			):
						A__							:    List[Any]        =		kwargs.pop("""add_prefix_space"""    ,       self.add_prefix_space			)
						if (is_split_into_words or add_prefix_space) and (len(A__			) > 0 and not text[0].isspace()):
							A__							:    Any        =		""" """ + text
						return (text, kwargs)






from math import factorial

def 						UpperCamelCase					(lowercase_: int = 20					)     ->      int:
	A__							:    Union[str, Any]        =		2 * n  # middle entry of odd rows starting at row 3 is the solution for n = 1,
	# 2, 3,...
	A__							:    Tuple        =		n // 2

	return int(factorial(lowercase_					) / (factorial(lowercase_					) * factorial(n - k					))					)


if __name__ == "__main__":
	import sys

	if len(sys.argv) == 1:
		print(solution(20))
	else:
		try:
			A_       : List[str]         =			int(sys.argv[1])
			print(solution(n))
		except ValueError:
			print('Invalid entry - please enter a number.')



