



from timeit import timeit

lowercase_													=      {
    '''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		(	__lowerCamelCase						:     str						)	->    bool:
					__lowerCAmelCase						 =0
					__lowerCAmelCase						 =len(__lowerCamelCase						) - 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		(	__lowerCamelCase						:     str						)	->    bool:
					__lowerCAmelCase						 =len(__lowerCamelCase						) // 2
					__lowerCAmelCase						 =len(__lowerCamelCase						)

					# 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(__lowerCamelCase						)						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     str						)	->    bool:
					if len(__lowerCamelCase						) <= 2:
										return True
					if s[0] == s[len(__lowerCamelCase						) - 1]:
										return is_palindrome_recursive(s[1:-1]						)
					else:
										return False






def        __lowerCAmelCase		(	__lowerCamelCase						:     str						)	->    bool:
					return s == s[::-1]






def        __lowerCAmelCase		(	__lowerCamelCase						:     str						)	->    None:
					__lowerCAmelCase						 =f"""all({name}(key) is value for key, value in test_data.items())"""
					__lowerCAmelCase						 =f"""from __main__ import test_data, {name}"""
					__lowerCAmelCase						 =500000
					__lowerCAmelCase						 =timeit(stmt=__lowerCamelCase					, setup=__lowerCamelCase					, number=__lowerCamelCase						)
					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''')









from collections import Counter

import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split

lowercase_													=      datasets.load_iris()

lowercase_													=      np.array(data['''data'''])
lowercase_													=      np.array(data['''target'''])
lowercase_													=      data['''target_names''']

lowercase_							,							lowercase_							,							lowercase_							,							lowercase_													=      train_test_split(X, y)






def        __lowerCAmelCase		(	__lowerCamelCase						:     Optional[Any]					, __lowerCamelCase						:     Optional[Any]						)	->    Optional[int]:
					return np.linalg.norm(np.array(__lowerCamelCase						) - np.array(__lowerCamelCase						)						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[str]					, __lowerCamelCase						:     List[Any]					, __lowerCamelCase						:     List[Any]					, __lowerCamelCase						:     Union[str, Any]					, __lowerCamelCase						:     int=5						)	->    str:
					__lowerCAmelCase						 =zip(__lowerCamelCase					, __lowerCamelCase						)
					# List of distances of all points from the point to be classified
					__lowerCAmelCase						 =[]
					for data_point in data:
										__lowerCAmelCase						 =euclidean_distance(data_point[0]					, __lowerCamelCase						)
										distances.append((distance, data_point[1])						)
					# Choosing 'k' points with the least distances.
					__lowerCAmelCase						 =[i[1] for i in sorted(__lowerCamelCase						)[:k]]
					# Most commonly occurring class among them
					# is the class into which the point is classified
					__lowerCAmelCase						 =Counter(__lowerCamelCase						).most_common(1						)[0][0]
					return classes[result]


if __name__ == "__main__":
				print(classifier(X_train, y_train, classes, [4.4, 3.1, 1.3, 1.4]))




