






"""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


_lowerCAmelCase         =							logging.get_logger(__name__)

_lowerCAmelCase         =							{
    "vocab_file": "vocab.txt",
    "merges_file": "bpe.codes",
}

_lowerCAmelCase         =							{
    "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",
    },
}

_lowerCAmelCase         =							{
    "vinai/phobert-base": 256,
    "vinai/phobert-large": 256,
}






def 			__UpperCamelCase	(		snake_case__					):
	A_		:						int	    =   set()
	A_		:						Optional[int]	    =   word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)					)
		A_		:						Dict	    =   char

	A_		:						Union[str, Any]	    =   set(snake_case__					)
	return pairs




class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				List[str]    =				VOCAB_FILES_NAMES
	_A       :				Any    =				PRETRAINED_VOCAB_FILES_MAP
	_A       :				Union[str, Any]    =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





	def __init__(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_     ,     lowerCAmelCase_="<s>"     ,     lowerCAmelCase_="</s>"     ,     lowerCAmelCase_="</s>"     ,     lowerCAmelCase_="<s>"     ,     lowerCAmelCase_="<unk>"     ,     lowerCAmelCase_="<pad>"     ,     lowerCAmelCase_="<mask>"     ,     **lowerCAmelCase_     ,     ):
		super().__init__(
		    bos_token=lowerCAmelCase_     ,     eos_token=lowerCAmelCase_     ,     unk_token=lowerCAmelCase_     ,     sep_token=lowerCAmelCase_     ,     cls_token=lowerCAmelCase_     ,     pad_token=lowerCAmelCase_     ,     mask_token=lowerCAmelCase_     ,     **lowerCAmelCase_     ,     )

		A_		:						Dict	    =   vocab_file
		A_		:						int	    =   merges_file

		A_		:						int	    =   {}
		A_		:						Tuple	    =   0
		A_		:						int	    =   1
		A_		:						Tuple	    =   2
		A_		:						Dict	    =   3

		self.add_from_file(lowerCAmelCase_							)

		A_		:						Optional[int]	    =   {v: k for k, v in self.encoder.items()}

		with open(lowerCAmelCase_     ,     encoding="""utf-8"""							) as merges_handle:
			A_		:						Tuple	    =   merges_handle.read().split("""\n"""							)[:-1]
		A_		:						Union[str, Any]	    =   [tuple(merge.split()[:-1]							) for merge in merges]
		A_		:						List[Any]	    =   dict(zip(lowerCAmelCase_     ,     range(len(lowerCAmelCase_							)							)							)							)
		A_		:						Any	    =   {}





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None							):

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





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None     ,     lowerCAmelCase_ = False							):

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

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





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None							):
		A_		:						Optional[Any]	    =   [self.sep_token_id]
		A_		:						Any	    =   [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    lowerCamelCase(self							):
		return len(self.encoder							)





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





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		if token in self.cache:
			return self.cache[token]
		A_		:						List[Any]	    =   tuple(lowerCAmelCase_							)
		A_		:						int	    =   tuple(list(word[:-1]							) + [word[-1] + """</w>"""]							)
		A_		:						Dict	    =   get_pairs(lowerCAmelCase_							)

		if not pairs:
			return token

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

				if word[i] == first and i < len(lowerCAmelCase_							) - 1 and word[i + 1] == second:
					new_word.append(first + second							)
					i += 2
				else:
					new_word.append(word[i]							)
					i += 1
			A_		:						Optional[Any]	    =   tuple(lowerCAmelCase_							)
			A_		:						int	    =   new_word
			if len(lowerCAmelCase_							) == 1:
				break
			else:
				A_		:						Any	    =   get_pairs(lowerCAmelCase_							)
		A_		:						Any	    =   """@@ """.join(lowerCAmelCase_							)
		A_		:						int	    =   word[:-4]
		A_		:						str	    =   word
		return word





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		A_		:						int	    =   []

		A_		:						Dict	    =   re.findall(r"""\S+\n?"""     ,     lowerCAmelCase_							)

		for token in words:
			split_tokens.extend(list(self.bpe(lowerCAmelCase_							).split(""" """							)							)							)
		return split_tokens





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		return self.encoder.get(lowerCAmelCase_     ,     self.encoder.get(self.unk_token							)							)





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		return self.decoder.get(lowerCAmelCase_     ,     self.unk_token							)





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		A_		:						Optional[Any]	    =   """ """.join(lowerCAmelCase_							).replace("""@@ """     ,     """"""							).strip()
		return out_string





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

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

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

		return out_vocab_file, out_merge_file





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		if isinstance(lowerCAmelCase_     ,     lowerCAmelCase_							):
			try:
				with open(lowerCAmelCase_     ,     """r"""     ,     encoding="""utf-8"""							) as fd:
					self.add_from_file(lowerCAmelCase_							)
			except FileNotFoundError as fnfe:
				raise fnfe
			except UnicodeError:
				raise Exception(f"""Incorrect encoding detected in {f}, please rebuild the dataset"""							)
			return

		A_		:						Any	    =   f.readlines()
		for lineTmp in lines:
			A_		:						Optional[int]	    =   lineTmp.strip()
			A_		:						List[Any]	    =   line.rfind(""" """							)
			if idx == -1:
				raise ValueError("""Incorrect dictionary format, expected '<token> <cnt>'"""							)
			A_		:						str	    =   line[:idx]
			A_		:						Optional[Any]	    =   len(self.encoder							)









"""simple docstring"""
import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
							print("Googling.....")
							_lowerCAmelCase         =							"https://www.google.com/search?q=" + " ".join(sys.argv[1:])
							_lowerCAmelCase         =							requests.get(url, headers={"UserAgent": UserAgent().random})
							# res.raise_for_status()
							with open("project1a.html", "wb") as out_file:  # only for knowing the class
														for data in res.iter_content(10_000):
																					out_file.write(data)
							_lowerCAmelCase         =							BeautifulSoup(res.text, "html.parser")
							_lowerCAmelCase         =							list(soup.select(".eZt8xd"))[:5]

							print(len(links))
							for link in links:
														if link.text == "Maps":
																					webbrowser.open(link.get("href"))
														else:
																					webbrowser.open(F'https://google.com{link.get("href")}')

