





"""simple docstring"""



from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







def 		__lowercase     (   snake_case_  :  str = "laptop"						)   ->Optional[Any]:



    '''simple docstring'''







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


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










from timeit import timeit

lowercase__				:     Union[str, Any] 		=						{
    "MALAYALAM": True,
    "String": False,
    "rotor": True,
    "level": True,
    "A": True,
    "BB": True,
    "ABC": False,
    "amanaplanacanalpanama": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     0
	snake_case_		    =     len(_A							) - 1
	while start_i < end_i:
		if s[start_i] == s[end_i]:
			start_i += 1
			end_i -= 1
		else:
			return False
	return True


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     len(_A							) // 2
	snake_case_		    =     len(_A							)

	# We need to traverse till half of the length of string
	# as we can get access of the i'th last element from
	# i'th index.
	# eg: [0,1,2,3,4,5] => 4th index can be accessed
	# with the help of 1st index (i==n-i-1)
	# where n is length of string
	return all(s[i] == s[n - i - 1] for i in range(_A							)							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if len(_A							) <= 2:
		return True
	if s[0] == s[len(_A							) - 1]:
		return is_palindrome_recursive(s[1:-1]							)
	else:
		return False


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return s == s[::-1]


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     f"all({name}(key) is value for key, value in test_data.items())"
	snake_case_		    =     f"from __main__ import test_data, {name}"
	snake_case_		    =     500000
	snake_case_		    =     timeit(stmt=_A     ,	setup=_A     ,	number=_A							)
	print(f"{name:<35} finished {number:,} runs in {result:.5f} seconds"							)


if __name__ == "__main__":
		for key, value in test_data.items():
				assert is_palindrome(key) is is_palindrome_recursive(key)
				assert is_palindrome(key) is is_palindrome_slice(key)
				print(f'''{key:21} {value}''')
		print("a man a plan a canal panama")

		# finished 500,000 runs in 0.46793 seconds
		benchmark_function("is_palindrome_slice")
		# finished 500,000 runs in 0.85234 seconds
		benchmark_function("is_palindrome")
		# finished 500,000 runs in 1.32028 seconds
		benchmark_function("is_palindrome_recursive")
		# finished 500,000 runs in 2.08679 seconds
		benchmark_function("is_palindrome_traversal")
