
def 						A_			(				snake_case				: str			)   ->     str:



						'''simple docstring'''

						__UpperCamelCase  	=      word.upper()
						__UpperCamelCase  	=      0
						__UpperCamelCase  	=      {}
						__UpperCamelCase  	=      []

						for letter in word:
												if letter not in letter_nums:
																		__UpperCamelCase  	=      str(snake_case			)
																		next_num += 1
												word_pattern.append(letter_nums[letter]			)
						return ".".join(snake_case			)


if __name__ == "__main__":
				import pprint
				import time

				lowercase__				:				Any						=      time.time()
				with open("dictionary.txt") as in_file:
								lowercase__				:				List[str]						=      in_file.read().splitlines()

				lowercase__				:				dict						=      {}
				for word in word_list:
								lowercase__				:				Tuple						=      get_word_pattern(word)
								if pattern in all_patterns:
												all_patterns[pattern].append(word)
								else:
												lowercase__				:				Union[str, Any]						=      [word]

				with open("word_patterns.txt", "w") as out_file:
								out_file.write(pprint.pformat(all_patterns))

				lowercase__				:				Union[str, Any]						=      round(time.time() - start_time, 2)
				print(F"Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.")
				# Done!  9,581 word patterns found in 0.58 seconds.












"""simple docstring"""
class 						a_ :







      '''simple docstring'''

      def __init__(self,	lowerCamelCase_   ):

       '''simple docstring'''



       lowerCamelCase__	:     Dict								=		data
       lowerCamelCase__	:     BinaryTreeNode | None								=		None
       lowerCamelCase__	:     BinaryTreeNode | None								=		None






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase							):
 if node is None:
  lowerCamelCase__	:     List[str]								=		BinaryTreeNode(_lowerCamelCase							)
  return node

 # binary search tree is not empty,
 # so we will insert it into the tree
 # if new_value is less than value of data in node,
 #  add it to left subtree and proceed recursively
 if new_value < node.data:
  lowerCamelCase__	:     str								=		insert(node.left_child     ,  _lowerCamelCase							)
 else:
  # if new_value is greater than value of data in node,
  #  add it to right subtree and proceed recursively
  lowerCamelCase__	:     str								=		insert(node.right_child     ,  _lowerCamelCase							)
 return node






def 			lowerCamelCase_    (		_lowerCamelCase							):  # if node is None,return
 if node:
  lowerCamelCase__	:     Any								=		inorder(node.left_child							)
  lowerCamelCase__	:     Tuple								=		[*inorder_array, node.data]
  lowerCamelCase__	:     List[Any]								=		inorder_array + inorder(node.right_child							)
 else:
  lowerCamelCase__	:     Any								=		[]
 return inorder_array






def 			lowerCamelCase_    (		):
 lowerCamelCase__	:     Tuple								=		insert(_lowerCamelCase     ,  15							)
 insert(_lowerCamelCase     ,  10							)
 insert(_lowerCamelCase     ,  25							)
 insert(_lowerCamelCase     ,  6							)
 insert(_lowerCamelCase     ,  14							)
 insert(_lowerCamelCase     ,  20							)
 insert(_lowerCamelCase     ,  60							)
 return root






def 			lowerCamelCase_    (		):
 # main function
 lowerCamelCase__	:     List[Any]								=		make_tree()
 print('Printing values of binary search tree in Inorder Traversal.'							)
 inorder(_lowerCamelCase							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()

