





from __future__ import annotations

from typing import Generic, TypeVar

_UpperCAmelCase       : List[Any]			     =       TypeVar("""T""")

class      lowerCAmelCase							(      Generic[T]    ):
 def __init__(   self						:   int    ,  UpperCAmelCase						:   Optional[Any]			)    ->			Tuple:
     lowerCamelCase__					:   Optional[int]      				=	data
     lowerCamelCase__					:   Union[str, Any]      				=	self
     lowerCamelCase__					:   Tuple      				=	0


class      lowerCAmelCase							(      Generic[T]    ):
 def __init__(   self						:   Tuple			)    ->			List[str]:
     # map from node name to the node object
     lowerCamelCase__					:   List[Any]      				=	{}
 def   A_			(   self						:   Union[str, Any]    ,  UpperCAmelCase						:   List[Any]			)    ->			str:
     # create a new set with x as its member
     lowerCamelCase__					:   List[Any]      				=	DisjointSetTreeNode(UpperCAmelCase_			)
 def   A_			(   self						:   Any    ,  UpperCAmelCase						:   str			)    ->			List[str]:
     # find the set x belongs to (with path-compression)
     lowerCamelCase__					:   Dict      				=	self.map[data]
     if elem_ref != elem_ref.parent:
         lowerCamelCase__					:   List[str]      				=	self.find_set(elem_ref.parent.data			)
     return elem_ref.parent
 def   A_			(   self						:   List[Any]    ,  UpperCAmelCase						:   Optional[Any]    ,  UpperCAmelCase						:   Optional[Any]			)    ->			int:
     # helper function for union operation
     if nodea.rank > nodea.rank:
         lowerCamelCase__					:   int      				=	nodea
     else:
         lowerCamelCase__					:   Tuple      				=	nodea
         if nodea.rank == nodea.rank:
             nodea.rank += 1







 def   A_			(   self						:   List[Any]    ,  UpperCAmelCase						:   str    ,  UpperCAmelCase						:   Any			)    ->			int:
     # merge 2 disjoint sets
     self.link(self.find_set(UpperCAmelCase_			)    ,  self.find_set(UpperCAmelCase_			)			)


class      lowerCAmelCase							(      Generic[T]    ):
 def __init__(   self						:   Any			)    ->			str:
     # connections: map from the node to the neighbouring nodes (with weights)
     lowerCamelCase__					:   Optional[Any]      				=	{}
 def   A_			(   self						:   int    ,  UpperCAmelCase						:   Optional[int]			)    ->			Any:
     # add a node ONLY if its not present in the graph
     if node not in self.connections:
         lowerCamelCase__					:   Optional[int]      				=	{}
 def   A_			(   self						:   Optional[int]    ,  UpperCAmelCase						:   Optional[int]    ,  UpperCAmelCase						:   Tuple    ,  UpperCAmelCase						:   Any			)    ->			Any:
     # add an edge with the given weight
     self.add_node(UpperCAmelCase_			)
     self.add_node(UpperCAmelCase_			)
     lowerCamelCase__					:   List[str]      				=	weight
     lowerCamelCase__					:   Any      				=	weight







 def   A_			(   self						:   Optional[int]			)    ->			str:
     lowerCamelCase__					:   Dict      				=	[]
     lowerCamelCase__					:   Any      				=	set()
     for start in self.connections:
         for end in self.connections[start]:
             if (start, end) not in seen:
                 seen.add((end, start)			)
                 edges.append((start, end, self.connections[start][end])			)
     edges.sort(key=lambda UpperCAmelCase			: x[2]			)

     # creating the disjoint set
     lowerCamelCase__					:   Dict      				=	DisjointSetTree[T]()
     for node in self.connections:
         disjoint_set.make_set(UpperCAmelCase_			)

     # MST generation
     lowerCamelCase__					:   List[str]      				=	0
     lowerCamelCase__					:   Tuple      				=	0
     lowerCamelCase__					:   List[str]      				=	GraphUndirectedWeighted[T]()
     while num_edges < len(self.connections			) - 1:
         lowerCamelCase__				,							lowerCamelCase__				,							lowerCamelCase__					:   Any      				=	edges[index]
         index += 1
         lowerCamelCase__					:   Dict      				=	disjoint_set.find_set(UpperCAmelCase_			)
         lowerCamelCase__					:   str      				=	disjoint_set.find_set(UpperCAmelCase_			)
         if parent_u != parent_v:
             num_edges += 1
             graph.add_edge(UpperCAmelCase_    ,  UpperCAmelCase_    ,  UpperCAmelCase_			)
             disjoint_set.union(UpperCAmelCase_    ,  UpperCAmelCase_			)
     return graph












from pathlib import Path

import fire


def  SCREAMING_SNAKE_CASE   ( _UpperCAmelCase		,			_UpperCAmelCase		,			_UpperCAmelCase				)    ->  Optional[int]:
    lowerCamelCase__					:   Union[str, Any]      				=	Path(_UpperCAmelCase				)
    lowerCamelCase__					:   int      				=	Path(_UpperCAmelCase				)
    dest_dir.mkdir(exist_ok=_UpperCAmelCase				)
    for path in src_dir.iterdir():
        lowerCamelCase__					:   Tuple      				=	[x.rstrip() for x in list(path.open().readlines()				)][:n]
        lowerCamelCase__					:   Optional[int]      				=	dest_dir.joinpath(path.name				)
        print(_UpperCAmelCase				)
        dest_path.open('w'				).write('\n'.join(_UpperCAmelCase				)				)


if __name__ == "__main__":
    fire.Fire(minify)





