




"""simple docstring"""

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       						=	logging.get_logger(__name__)


__A       						=	{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

__A       						=	{
    '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       						=	{
    'allenai/longformer-base-4096': 4_096,
    'allenai/longformer-large-4096': 4_096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_096,
}



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



def      UpperCamelCase__   (						lowercase__     :   List[Any]      ):
		snake_case						:  Tuple    	= set()
		snake_case						:  Dict    	= word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)      )
				snake_case						:  str    	= char
		return pairs
class 	lowerCamelCase__			(     __SCREAMING_SNAKE_CASE	):
			a__       :					int	    =   VOCAB_FILES_NAMES
			a__       :					int	    =   PRETRAINED_VOCAB_FILES_MAP
			a__       :					Tuple	    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a__       :					Any	    =   ["""input_ids""", """attention_mask"""]


			def __init__(   self ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE="replace" ,       SCREAMING_SNAKE_CASE="<s>" ,       SCREAMING_SNAKE_CASE="</s>" ,       SCREAMING_SNAKE_CASE="</s>" ,       SCREAMING_SNAKE_CASE="<s>" ,       SCREAMING_SNAKE_CASE="<unk>" ,       SCREAMING_SNAKE_CASE="<pad>" ,       SCREAMING_SNAKE_CASE="<mask>" ,       SCREAMING_SNAKE_CASE=False ,       **SCREAMING_SNAKE_CASE ,       ):



					"""simple docstring"""







					snake_case						:  Dict    	= AddedToken(_SCREAMING_SNAKE_CASE ,       lstrip=_SCREAMING_SNAKE_CASE ,       rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE ,       _SCREAMING_SNAKE_CASE							) else bos_token
					snake_case						:  str    	= AddedToken(_SCREAMING_SNAKE_CASE ,       lstrip=_SCREAMING_SNAKE_CASE ,       rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE ,       _SCREAMING_SNAKE_CASE							) else eos_token
					snake_case						:  Union[str, Any]    	= AddedToken(_SCREAMING_SNAKE_CASE ,       lstrip=_SCREAMING_SNAKE_CASE ,       rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE ,       _SCREAMING_SNAKE_CASE							) else sep_token
					snake_case						:  Any    	= AddedToken(_SCREAMING_SNAKE_CASE ,       lstrip=_SCREAMING_SNAKE_CASE ,       rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE ,       _SCREAMING_SNAKE_CASE							) else cls_token
					snake_case						:  Optional[int]    	= AddedToken(_SCREAMING_SNAKE_CASE ,       lstrip=_SCREAMING_SNAKE_CASE ,       rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE ,       _SCREAMING_SNAKE_CASE							) else unk_token
					snake_case						:  List[str]    	= 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
					snake_case						:  int    	= 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:
							snake_case						:  Dict    	= json.load(_SCREAMING_SNAKE_CASE							)
					snake_case						:  Tuple    	= {v: k for k, v in self.encoder.items()}
					snake_case						:  Optional[Any]    	= errors  # how to handle errors in decoding
					snake_case						:  Optional[Any]    	= bytes_to_unicode()
					snake_case						:  Tuple    	= {v: k for k, v in self.byte_encoder.items()}
					with open(_SCREAMING_SNAKE_CASE ,       encoding="utf-8"							) as merges_handle:
							snake_case						:  Any    	= merges_handle.read().split("\n"							)[1:-1]
					snake_case						:  List[Any]    	= [tuple(merge.split()							) for merge in bpe_merges]
					snake_case						:  int    	= dict(zip(_SCREAMING_SNAKE_CASE ,       range(len(_SCREAMING_SNAKE_CASE							)							)							)							)
					snake_case						:  List[str]    	= {}
					snake_case						:  Dict    	= add_prefix_space

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


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return len(self.encoder							)


			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return dict(self.encoder ,       **self.added_tokens_encoder							)


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					if token in self.cache:
							return self.cache[token]
					snake_case						:  Any    	= tuple(_SCREAMING_SNAKE_CASE							)
					snake_case						:  Optional[int]    	= get_pairs(_SCREAMING_SNAKE_CASE							)

					if not pairs:
							return token

					while True:
							snake_case						:  Union[str, Any]    	= 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
							snake_case						:  Union[str, Any]    	= bigram
							snake_case						:  List[str]    	= []
							snake_case						:  Dict    	= 0
							while i < len(_SCREAMING_SNAKE_CASE							):
									try:
											snake_case						:  List[str]    	= word.index(_SCREAMING_SNAKE_CASE ,       _SCREAMING_SNAKE_CASE							)
									except ValueError:
											new_word.extend(word[i:]							)
											break
									else:
											new_word.extend(word[i:j]							)
											snake_case						:  Tuple    	= 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
							snake_case						:  int    	= tuple(_SCREAMING_SNAKE_CASE							)
							snake_case						:  Optional[Any]    	= new_word
							if len(_SCREAMING_SNAKE_CASE							) == 1:
									break
							else:
									snake_case						:  Optional[int]    	= get_pairs(_SCREAMING_SNAKE_CASE							)
					snake_case						:  Tuple    	= " ".join(_SCREAMING_SNAKE_CASE							)
					snake_case						:  List[str]    	= word
					return word


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Optional[int]    	= []
					for token in re.findall(self.pat ,       _SCREAMING_SNAKE_CASE							):
							snake_case						:  Any    	= "".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 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return self.encoder.get(_SCREAMING_SNAKE_CASE ,       self.encoder.get(self.unk_token							)							)


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return self.decoder.get(_SCREAMING_SNAKE_CASE							)


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  str    	= "".join(_SCREAMING_SNAKE_CASE							)
					snake_case						:  Tuple    	= bytearray([self.byte_decoder[c] for c in text]							).decode("utf-8" ,       errors=self.errors							)
					return text


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE = None							):



					"""simple docstring"""







					if not os.path.isdir(_SCREAMING_SNAKE_CASE							):
							logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
							return
					snake_case						:  Tuple    	= os.path.join(
					    _SCREAMING_SNAKE_CASE ,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)
					snake_case						:  Union[str, Any]    	= 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"							)

					snake_case						:  Dict    	= 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!"							)
											snake_case						:  str    	= token_index
									writer.write(" ".join(_SCREAMING_SNAKE_CASE							) + "\n"							)
									index += 1

					return vocab_file, merge_file


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE = None							):



					"""simple docstring"""







					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					snake_case						:  Any    	= [self.cls_token_id]
					snake_case						:  Union[str, Any]    	= [self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep


			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE = None ,       SCREAMING_SNAKE_CASE = False							):



					"""simple docstring"""







					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 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE = None							):



					"""simple docstring"""







					snake_case						:  Any    	= [self.sep_token_id]
					snake_case						:  List[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]



			def 							lowerCamelCase_ (   self ,       SCREAMING_SNAKE_CASE ,       SCREAMING_SNAKE_CASE=False ,       **SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Dict    	= 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()):
							snake_case						:  Tuple    	= " " + text
					return (text, kwargs)






"""simple docstring"""






from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame


def 			_lowercase				(  __snake_case = "laptop"	)						->   DataFrame:
			__lowerCAmelCase      :  str												=       F"""https://www.amazon.in/laptop/s?k={product}"""
			__lowerCAmelCase      :  Union[str, Any]												=       {
			    "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36",
			    "Accept-Language": "en-US, en;q=0.5",
			}
			__lowerCAmelCase      :  List[str]												=       BeautifulSoup(requests.get(__snake_case					,headers=__snake_case	).text	)
			# Initialize a Pandas dataframe with the column titles
			__lowerCAmelCase      :  Dict												=       DataFrame(
			    columns=[
			        "Product Title",
			        "Product Link",
			        "Current Price of the product",
			        "Product Rating",
			        "MRP of the product",
			        "Discount",
			    ]	)
			# Loop through each entry and store them in the dataframe
			for item, _ in zip_longest(
			    soup.find_all(
			        "div"					,attrs={"class": "s-result-item", "data-component-type": "s-search-result"}					,)					,soup.find_all("div"					,attrs={"class": "a-row a-size-base a-color-base"}	)					,):
						try:
									__lowerCAmelCase      :  Any												=       item.ha.text
									__lowerCAmelCase      :  Union[str, Any]												=       "https://www.amazon.in/" + item.ha.a["href"]
									__lowerCAmelCase      :  Any												=       item.find("span"					,attrs={"class": "a-offscreen"}	).text
									try:
												__lowerCAmelCase      :  Union[str, Any]												=       item.find("span"					,attrs={"class": "a-icon-alt"}	).text
									except AttributeError:
												__lowerCAmelCase      :  Optional[Any]												=       "Not available"
									try:
												__lowerCAmelCase      :  Union[str, Any]												=       (
												    "₹"
												    + item.find(
												        "span"					,attrs={"class": "a-price a-text-price"}	).text.split("₹"	)[1]
												)
									except AttributeError:
												__lowerCAmelCase      :  Dict												=       ""
									try:
												__lowerCAmelCase      :  str												=       float(
												    (
												        (
												            float(product_mrp.strip("₹"	).replace(","					,""	)	)
												            - float(product_price.strip("₹"	).replace(","					,""	)	)
												        )
												        / float(product_mrp.strip("₹"	).replace(","					,""	)	)
												    )
												    * 100	)
									except ValueError:
												__lowerCAmelCase      :  List[str]												=       float("nan"	)
						except AttributeError:
									pass
						__lowerCAmelCase      :  int												=       [
						    product_title,
						    product_link,
						    product_price,
						    product_rating,
						    product_mrp,
						    discount,
						]
			__lowerCAmelCase      :  Union[str, Any]												=       " "
			__lowerCAmelCase      :  Union[str, Any]												=       " "
			data_frame.index += 1
			return data_frame


if __name__ == "__main__":
	__snake_case							:   Any      =    'headphones'
	get_amazon_product_data(product).to_csv(F"""Amazon Product Data for {product}.csv""")