"""simple docstring"""







from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def   __UpperCAmelCase    (   UpperCAmelCase_   :    str = "laptop"  )							->      DataFrame:

	'''simple docstring'''





	__snake_case      :							Tuple						=			F"https://www.amazon.in/laptop/s?k={product}"
	__snake_case      :							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',
	}
	__snake_case      :							List[Any]						=			BeautifulSoup(requests.get(UpperCAmelCase_      ,							headers=UpperCAmelCase_  ).text  )
	# Initialize a Pandas dataframe with the column titles
	__snake_case      :							Union[str, Any]						=			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:
			__snake_case      :							List[str]						=			item.ha.text
			__snake_case      :							Optional[int]						=			'https://www.amazon.in/' + item.ha.a['href']
			__snake_case      :							Optional[int]						=			item.find('span'      ,							attrs={'class': 'a-offscreen'}  ).text
			try:
				__snake_case      :							int						=			item.find('span'      ,							attrs={'class': 'a-icon-alt'}  ).text
			except AttributeError:
				__snake_case      :							List[str]						=			'Not available'
			try:
				__snake_case      :							str						=			(
				    '₹'
				    + item.find(
				        'span'      ,							attrs={'class': 'a-price a-text-price'}  ).text.split('₹'  )[1]
				)
			except AttributeError:
				__snake_case      :							List[Any]						=			''
			try:
				__snake_case      :							int						=			float(
				    (
				        (
				            float(product_mrp.strip('₹'  ).replace(','      ,							''  )  )
				            - float(product_price.strip('₹'  ).replace(','      ,							''  )  )
				        )
				        / float(product_mrp.strip('₹'  ).replace(','      ,							''  )  )
				    )
				    * 1_00  )
			except ValueError:
				__snake_case      :							str						=			float('nan'  )
		except AttributeError:
			pass
		__snake_case      :							List[str]						=			[
		    product_title,
		    product_link,
		    product_price,
		    product_rating,
		    product_mrp,
		    discount,
		]
	__snake_case      :							Any						=			' '
	__snake_case      :							Any						=			' '
	data_frame.index += 1
	return data_frame


if __name__ == "__main__":
	_a					:					Union[str, Any]=			"headphones"
	get_amazon_product_data(product).to_csv(f'''Amazon Product Data for {product}.csv''')






"""simple docstring"""







from __future__ import annotations

from math import pow, sqrt
def   __UpperCAmelCase    (   UpperCAmelCase_   :    float      ,							UpperCAmelCase_   :    float      ,							UpperCAmelCase_   :    float  )							->      dict[str, float]:

	'''simple docstring'''





	if (resistance, reactance, impedance).count(0  ) != 1:
		raise ValueError('One and only one argument must be 0'  )
	if resistance == 0:
		return {"resistance": sqrt(pow(UpperCAmelCase_      ,							2  ) - pow(UpperCAmelCase_      ,							2  )  )}
	elif reactance == 0:
		return {"reactance": sqrt(pow(UpperCAmelCase_      ,							2  ) - pow(UpperCAmelCase_      ,							2  )  )}
	elif impedance == 0:
		return {"impedance": sqrt(pow(UpperCAmelCase_      ,							2  ) + pow(UpperCAmelCase_      ,							2  )  )}
	else:
		raise ValueError('Exactly one argument must be 0'  )


if __name__ == "__main__":
	import doctest

	doctest.testmod()





