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1584-min-cost-to-connect-all-points-2.md Perfected code.

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en/1001-2000
- 1584-min-cost-to-connect-all-points-2.md
zh/1001-2000
- 1584-min-cost-to-connect-all-points-2.md

2 files changed

+34

-22

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`‎en/1001-2000/1584-min-cost-to-connect-all-points-2.md`

Lines changed: 17 additions & 11 deletions

Original file line number	Diff line number	Diff line change
`@@ -73,10 +73,10 @@ This page, I will only talk about the solution of Kruskal's Algorithm.`
`73`	`73`	```python
`74`	`74`	`classSolution:`
`75`	`75`	`def__init__(self):`
`76`		`-self.parent= []`
	`76`	`+self.parents= []`
`77`	`77`
`78`	`78`	`defminCostConnectPoints(self,points: List[List[int]]) ->int:`
`79`		`-self.parent=list(range(len(points)))`
	`79`	`+self.parents=list(range(len(points)))`
`80`	`80`	`result=0`
`81`	`81`	`edged_points= []`
`82`	`82`
`@@ -85,43 +85,49 @@ class Solution:`
`85`	`85`	`distance=abs(point[0]- points[j][0])+ \`
`86`	`86`	`abs(point[1]- points[j][1])`
`87`	`87`	`heapq.heappush(edged_points, (distance, i, j))`
`88`		`-`
	`88`	`+`
`89`	`89`	`while edged_points:`
`90`	`90`	`distance, i, j= heapq.heappop(edged_points)`
`91`	`91`
`92`		`-ifself.same_root(i, j):`
	`92`	`+ifself.is_same_root(i, j):`
`93`	`93`	`continue`
`94`	`94`
`95`	`95`	`self.unite(i, j)`
`96`	`96`
`97`	`97`	`result+= distance`
`98`		`-`
	`98`	`+`
`99`	`99`	`return result`
`100`	`100`
`101`	`101`	`defunite(self,x,y):`
`102`	`102`	`root_x=self.find_root(x)`
`103`	`103`	`root_y=self.find_root(y)`
`104`		`-self.parent[root_y]= root_x`
	`104`	`+`
	`105`	`+self.parents[root_y]= root_x`
`105`	`106`
`106`	`107`	`deffind_root(self,x):`
`107`		`-if x==self.parent[x]:`
	`108`	`+ parent=self.parents[x]`
	`109`	`+`
	`110`	`+if x== parent:`
`108`	`111`	`return x`
`109`	`112`
`110`		`-self.parent[x]=self.find_root(self.parent[x])`
	`113`	`+ root=self.find_root(parent)`
	`114`	`+`
	`115`	`+self.parents[x]= root`
`111`	`116`
`112`		`-returnself.parent[x]`
	`117`	`+returnroot`
`113`	`118`
`114`		`-defsame_root(self,x,y):`
	`119`	`+defis_same_root(self,x,y):`
`115`	`120`	`returnself.find_root(x)==self.find_root(y)`
`116`	`121`	```
`117`	`122`
`118`	`123`	`##Java`
`119`	`124`	```java
	`125`	`+// Welcome to create a PR to complete the code of this language, thanks!`
`120`	`126`	```
`121`	`127`
`122`	`128`	`##Python`
`123`	`129`	```python
`124`		`-// Welcome to create aPR to complete the code of this language, thanks!`
	`130`	`+# Welcome to create a PR to complete the code of this language, thanks!`
`125`	`131`	```
`126`	`132`
`127`	`133`	`##C++`

`‎zh/1001-2000/1584-min-cost-to-connect-all-points-2.md`

Lines changed: 17 additions & 11 deletions

Original file line number	Diff line number	Diff line change
`@@ -73,10 +73,10 @@ This page, I will only talk about the solution of Kruskal's Algorithm.`
`73`	`73`	```python
`74`	`74`	`classSolution:`
`75`	`75`	`def__init__(self):`
`76`		`-self.parent= []`
	`76`	`+self.parents= []`
`77`	`77`
`78`	`78`	`defminCostConnectPoints(self,points: List[List[int]]) ->int:`
`79`		`-self.parent=list(range(len(points)))`
	`79`	`+self.parents=list(range(len(points)))`
`80`	`80`	`result=0`
`81`	`81`	`edged_points= []`
`82`	`82`
`@@ -85,43 +85,49 @@ class Solution:`
`85`	`85`	`distance=abs(point[0]- points[j][0])+ \`
`86`	`86`	`abs(point[1]- points[j][1])`
`87`	`87`	`heapq.heappush(edged_points, (distance, i, j))`
`88`		`-`
	`88`	`+`
`89`	`89`	`while edged_points:`
`90`	`90`	`distance, i, j= heapq.heappop(edged_points)`
`91`	`91`
`92`		`-ifself.same_root(i, j):`
	`92`	`+ifself.is_same_root(i, j):`
`93`	`93`	`continue`
`94`	`94`
`95`	`95`	`self.unite(i, j)`
`96`	`96`
`97`	`97`	`result+= distance`
`98`		`-`
	`98`	`+`
`99`	`99`	`return result`
`100`	`100`
`101`	`101`	`defunite(self,x,y):`
`102`	`102`	`root_x=self.find_root(x)`
`103`	`103`	`root_y=self.find_root(y)`
`104`		`-self.parent[root_y]= root_x`
	`104`	`+`
	`105`	`+self.parents[root_y]= root_x`
`105`	`106`
`106`	`107`	`deffind_root(self,x):`
`107`		`-if x==self.parent[x]:`
	`108`	`+ parent=self.parents[x]`
	`109`	`+`
	`110`	`+if x== parent:`
`108`	`111`	`return x`
`109`	`112`
`110`		`-self.parent[x]=self.find_root(self.parent[x])`
	`113`	`+ root=self.find_root(parent)`
	`114`	`+`
	`115`	`+self.parents[x]= root`
`111`	`116`
`112`		`-returnself.parent[x]`
	`117`	`+returnroot`
`113`	`118`
`114`		`-defsame_root(self,x,y):`
	`119`	`+defis_same_root(self,x,y):`
`115`	`120`	`returnself.find_root(x)==self.find_root(y)`
`116`	`121`	```
`117`	`122`
`118`	`123`	`##Java`
`119`	`124`	```java
	`125`	`+// Welcome to create a PR to complete the code of this language, thanks!`
`120`	`126`	```
`121`	`127`
`122`	`128`	`##Python`
`123`	`129`	```python
`124`		`-// Welcome to create aPR to complete the code of this language, thanks!`
	`130`	`+# Welcome to create a PR to complete the code of this language, thanks!`
`125`	`131`	```
`126`	`132`
`127`	`133`	`##C++`

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`‎en/1001-2000/1584-min-cost-to-connect-all-points-2.md`

`‎zh/1001-2000/1584-min-cost-to-connect-all-points-2.md`

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