




from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame


def 						lowerCamelCase__    (		_A = "laptop"							):







	'''simple docstring'''





	snake_case_		    =     f"https://www.amazon.in/laptop/s?k={product}"
	snake_case_		    =     {
	    "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_		    =     BeautifulSoup(requests.get(_A     ,	headers=_A							).text							)
	# Initialize a Pandas dataframe with the column titles
	snake_case_		    =     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_		    =     item.ha.text
			snake_case_		    =     "https://www.amazon.in/" + item.ha.a["href"]
			snake_case_		    =     item.find("span"     ,	attrs={"class": "a-offscreen"}							).text
			try:
				snake_case_		    =     item.find("span"     ,	attrs={"class": "a-icon-alt"}							).text
			except AttributeError:
				snake_case_		    =     "Not available"
			try:
				snake_case_		    =     (
				    "₹"
				    + item.find(
				        "span"     ,	attrs={"class": "a-price a-text-price"}							).text.split("₹"							)[1]
				)
			except AttributeError:
				snake_case_		    =     ""
			try:
				snake_case_		    =     float(
				    (
				        (
				            float(product_mrp.strip("₹"							).replace(","     ,	""							)							)
				            - float(product_price.strip("₹"							).replace(","     ,	""							)							)
				        )
				        / float(product_mrp.strip("₹"							).replace(","     ,	""							)							)
				    )
				    * 100							)
			except ValueError:
				snake_case_		    =     float("nan"							)
		except AttributeError:
			pass
		snake_case_		    =     [
		    product_title,
		    product_link,
		    product_price,
		    product_rating,
		    product_mrp,
		    discount,
		]
	snake_case_		    =     " "
	snake_case_		    =     " "
	data_frame.index += 1
	return data_frame


if __name__ == "__main__":
		lowercase__				:     Tuple 		=						"headphones"
		get_amazon_product_data(product).to_csv(f'''Amazon Product Data for {product}.csv''')






import functools


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if not isinstance(_A     ,	_A							) or not all(isinstance(_A     ,	_A							) for day in days							):
		raise ValueError("The parameter days should be a list of integers"							)

	if len(_A							) != 3 or not all(isinstance(_A     ,	_A							) for cost in costs							):
		raise ValueError("The parameter costs should be a list of three integers"							)

	if len(_A							) == 0:
		return 0

	if min(_A							) <= 0:
		raise ValueError("All days elements should be greater than 0"							)

	if max(_A							) >= 366:
		raise ValueError("All days elements should be less than 366"							)

	snake_case_		    =     set(_A							)

	@functools.cache
	def dynamic_programming(_A							) -> int:
		if index > 365:
			return 0

		if index not in days_set:
			return dynamic_programming(index + 1							)

		return min(
		    costs[0] + dynamic_programming(index + 1							)     ,	costs[1] + dynamic_programming(index + 7							)     ,	costs[2] + dynamic_programming(index + 30							)     ,	)

	return dynamic_programming(1							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
