How to invert the order of elements in a heapq heap with object comparison functions?












1















First of all, I read this SO question but it actually doesn't include my desired approach. In addition, negating the actual values is not applicable for my use case.



Heapq Docs: https://docs.python.org/3.6/library/heapq.html



Assume I have a list of dataclass objects in my heap. Only the a property determines the order of objects.



import heapq
from dataclasses import dataclass

@dataclass
class C:
a: int
b: int
def __lt__(self, other):
return self.a < other.a

l=[C(2,1),C(9,109),C(2,4),C(9,4)]

print(heapq.heappop(l)) # C(a=2, b=1)
print(heapq.heappop(l)) # C(a=2, b=4)
print(heapq.heappop(l)) # C(a=9, b=109)
print(heapq.heappop(l)) # C(a=9, b=4)


Now I want to have an inverted order. Therefore, I changed the line return self.a < other.a to return self.a > other.a. The result:



import heapq
from dataclasses import dataclass

@dataclass
class C:
a: int
b: int
def __lt__(self, other):
return self.a > other.a

l=[C(2,1),C(9,109),C(2,4),C(9,4)]

print(heapq.heappop(l)) # C(a=2, b=1)
print(heapq.heappop(l)) # C(a=9, b=109)
print(heapq.heappop(l)) # C(a=9, b=4)
print(heapq.heappop(l)) # C(a=2, b=4)


The desired result should be one of the four solutions:



C(a=9, b=109)   C(a=9, b=4)      C(a=9, b=109)  C(a=9, b=4)    
C(a=9, b=4) C(a=9, b=109) C(a=9, b=4) C(a=9, b=109)
C(a=2, b=1) C(a=2, b=1) C(a=2, b=4) C(a=2, b=4)
C(a=2, b=4) C(a=2, b=4) C(a=2, b=1) C(a=2, b=1)


Probably, not all pairs of objects are compared by heapq that would explain the strange order. However, is it still possible to get an inverted order?



Do I have to provide more object comparison methods?



object.__lt__(self, other)
object.__le__(self, other)
object.__eq__(self, other)
object.__ne__(self, other)
object.__gt__(self, other)
object.__ge__(self, other)


If you have an completely other approach, do not hesitate!










share|improve this question





























    1















    First of all, I read this SO question but it actually doesn't include my desired approach. In addition, negating the actual values is not applicable for my use case.



    Heapq Docs: https://docs.python.org/3.6/library/heapq.html



    Assume I have a list of dataclass objects in my heap. Only the a property determines the order of objects.



    import heapq
    from dataclasses import dataclass

    @dataclass
    class C:
    a: int
    b: int
    def __lt__(self, other):
    return self.a < other.a

    l=[C(2,1),C(9,109),C(2,4),C(9,4)]

    print(heapq.heappop(l)) # C(a=2, b=1)
    print(heapq.heappop(l)) # C(a=2, b=4)
    print(heapq.heappop(l)) # C(a=9, b=109)
    print(heapq.heappop(l)) # C(a=9, b=4)


    Now I want to have an inverted order. Therefore, I changed the line return self.a < other.a to return self.a > other.a. The result:



    import heapq
    from dataclasses import dataclass

    @dataclass
    class C:
    a: int
    b: int
    def __lt__(self, other):
    return self.a > other.a

    l=[C(2,1),C(9,109),C(2,4),C(9,4)]

    print(heapq.heappop(l)) # C(a=2, b=1)
    print(heapq.heappop(l)) # C(a=9, b=109)
    print(heapq.heappop(l)) # C(a=9, b=4)
    print(heapq.heappop(l)) # C(a=2, b=4)


    The desired result should be one of the four solutions:



    C(a=9, b=109)   C(a=9, b=4)      C(a=9, b=109)  C(a=9, b=4)    
    C(a=9, b=4) C(a=9, b=109) C(a=9, b=4) C(a=9, b=109)
    C(a=2, b=1) C(a=2, b=1) C(a=2, b=4) C(a=2, b=4)
    C(a=2, b=4) C(a=2, b=4) C(a=2, b=1) C(a=2, b=1)


    Probably, not all pairs of objects are compared by heapq that would explain the strange order. However, is it still possible to get an inverted order?



    Do I have to provide more object comparison methods?



    object.__lt__(self, other)
    object.__le__(self, other)
    object.__eq__(self, other)
    object.__ne__(self, other)
    object.__gt__(self, other)
    object.__ge__(self, other)


    If you have an completely other approach, do not hesitate!










    share|improve this question



























      1












      1








      1








      First of all, I read this SO question but it actually doesn't include my desired approach. In addition, negating the actual values is not applicable for my use case.



      Heapq Docs: https://docs.python.org/3.6/library/heapq.html



      Assume I have a list of dataclass objects in my heap. Only the a property determines the order of objects.



      import heapq
      from dataclasses import dataclass

      @dataclass
      class C:
      a: int
      b: int
      def __lt__(self, other):
      return self.a < other.a

      l=[C(2,1),C(9,109),C(2,4),C(9,4)]

      print(heapq.heappop(l)) # C(a=2, b=1)
      print(heapq.heappop(l)) # C(a=2, b=4)
      print(heapq.heappop(l)) # C(a=9, b=109)
      print(heapq.heappop(l)) # C(a=9, b=4)


      Now I want to have an inverted order. Therefore, I changed the line return self.a < other.a to return self.a > other.a. The result:



      import heapq
      from dataclasses import dataclass

      @dataclass
      class C:
      a: int
      b: int
      def __lt__(self, other):
      return self.a > other.a

      l=[C(2,1),C(9,109),C(2,4),C(9,4)]

      print(heapq.heappop(l)) # C(a=2, b=1)
      print(heapq.heappop(l)) # C(a=9, b=109)
      print(heapq.heappop(l)) # C(a=9, b=4)
      print(heapq.heappop(l)) # C(a=2, b=4)


      The desired result should be one of the four solutions:



      C(a=9, b=109)   C(a=9, b=4)      C(a=9, b=109)  C(a=9, b=4)    
      C(a=9, b=4) C(a=9, b=109) C(a=9, b=4) C(a=9, b=109)
      C(a=2, b=1) C(a=2, b=1) C(a=2, b=4) C(a=2, b=4)
      C(a=2, b=4) C(a=2, b=4) C(a=2, b=1) C(a=2, b=1)


      Probably, not all pairs of objects are compared by heapq that would explain the strange order. However, is it still possible to get an inverted order?



      Do I have to provide more object comparison methods?



      object.__lt__(self, other)
      object.__le__(self, other)
      object.__eq__(self, other)
      object.__ne__(self, other)
      object.__gt__(self, other)
      object.__ge__(self, other)


      If you have an completely other approach, do not hesitate!










      share|improve this question
















      First of all, I read this SO question but it actually doesn't include my desired approach. In addition, negating the actual values is not applicable for my use case.



      Heapq Docs: https://docs.python.org/3.6/library/heapq.html



      Assume I have a list of dataclass objects in my heap. Only the a property determines the order of objects.



      import heapq
      from dataclasses import dataclass

      @dataclass
      class C:
      a: int
      b: int
      def __lt__(self, other):
      return self.a < other.a

      l=[C(2,1),C(9,109),C(2,4),C(9,4)]

      print(heapq.heappop(l)) # C(a=2, b=1)
      print(heapq.heappop(l)) # C(a=2, b=4)
      print(heapq.heappop(l)) # C(a=9, b=109)
      print(heapq.heappop(l)) # C(a=9, b=4)


      Now I want to have an inverted order. Therefore, I changed the line return self.a < other.a to return self.a > other.a. The result:



      import heapq
      from dataclasses import dataclass

      @dataclass
      class C:
      a: int
      b: int
      def __lt__(self, other):
      return self.a > other.a

      l=[C(2,1),C(9,109),C(2,4),C(9,4)]

      print(heapq.heappop(l)) # C(a=2, b=1)
      print(heapq.heappop(l)) # C(a=9, b=109)
      print(heapq.heappop(l)) # C(a=9, b=4)
      print(heapq.heappop(l)) # C(a=2, b=4)


      The desired result should be one of the four solutions:



      C(a=9, b=109)   C(a=9, b=4)      C(a=9, b=109)  C(a=9, b=4)    
      C(a=9, b=4) C(a=9, b=109) C(a=9, b=4) C(a=9, b=109)
      C(a=2, b=1) C(a=2, b=1) C(a=2, b=4) C(a=2, b=4)
      C(a=2, b=4) C(a=2, b=4) C(a=2, b=1) C(a=2, b=1)


      Probably, not all pairs of objects are compared by heapq that would explain the strange order. However, is it still possible to get an inverted order?



      Do I have to provide more object comparison methods?



      object.__lt__(self, other)
      object.__le__(self, other)
      object.__eq__(self, other)
      object.__ne__(self, other)
      object.__gt__(self, other)
      object.__ge__(self, other)


      If you have an completely other approach, do not hesitate!







      python python-3.x heap python-3.6






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 23 '18 at 16:29







      d4rty

















      asked Nov 23 '18 at 16:23









      d4rtyd4rty

      1,36321333




      1,36321333
























          1 Answer
          1






          active

          oldest

          votes


















          3














          You need to make l into a heap using heapify



          from heapq import heapify, heappop
          from dataclasses import dataclass

          @dataclass
          class C:
          a: int
          b: int
          def __lt__(self, other):
          return self.a > other.a

          l=[C(2,1),C(9,109),C(2,4),C(9,4)]

          heapify(l)

          while l:
          print(heappop(l))


          prints



          C(a=9, b=4)
          C(a=9, b=109)
          C(a=2, b=1)
          C(a=2, b=4)





          share|improve this answer


























          • But why is it working in the first case (in my question)? The list isn't ordered.

            – d4rty
            Nov 23 '18 at 16:41






          • 1





            Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

            – Patrick Haugh
            Nov 23 '18 at 16:47











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          1 Answer
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          active

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          active

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          active

          oldest

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          3














          You need to make l into a heap using heapify



          from heapq import heapify, heappop
          from dataclasses import dataclass

          @dataclass
          class C:
          a: int
          b: int
          def __lt__(self, other):
          return self.a > other.a

          l=[C(2,1),C(9,109),C(2,4),C(9,4)]

          heapify(l)

          while l:
          print(heappop(l))


          prints



          C(a=9, b=4)
          C(a=9, b=109)
          C(a=2, b=1)
          C(a=2, b=4)





          share|improve this answer


























          • But why is it working in the first case (in my question)? The list isn't ordered.

            – d4rty
            Nov 23 '18 at 16:41






          • 1





            Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

            – Patrick Haugh
            Nov 23 '18 at 16:47
















          3














          You need to make l into a heap using heapify



          from heapq import heapify, heappop
          from dataclasses import dataclass

          @dataclass
          class C:
          a: int
          b: int
          def __lt__(self, other):
          return self.a > other.a

          l=[C(2,1),C(9,109),C(2,4),C(9,4)]

          heapify(l)

          while l:
          print(heappop(l))


          prints



          C(a=9, b=4)
          C(a=9, b=109)
          C(a=2, b=1)
          C(a=2, b=4)





          share|improve this answer


























          • But why is it working in the first case (in my question)? The list isn't ordered.

            – d4rty
            Nov 23 '18 at 16:41






          • 1





            Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

            – Patrick Haugh
            Nov 23 '18 at 16:47














          3












          3








          3







          You need to make l into a heap using heapify



          from heapq import heapify, heappop
          from dataclasses import dataclass

          @dataclass
          class C:
          a: int
          b: int
          def __lt__(self, other):
          return self.a > other.a

          l=[C(2,1),C(9,109),C(2,4),C(9,4)]

          heapify(l)

          while l:
          print(heappop(l))


          prints



          C(a=9, b=4)
          C(a=9, b=109)
          C(a=2, b=1)
          C(a=2, b=4)





          share|improve this answer















          You need to make l into a heap using heapify



          from heapq import heapify, heappop
          from dataclasses import dataclass

          @dataclass
          class C:
          a: int
          b: int
          def __lt__(self, other):
          return self.a > other.a

          l=[C(2,1),C(9,109),C(2,4),C(9,4)]

          heapify(l)

          while l:
          print(heappop(l))


          prints



          C(a=9, b=4)
          C(a=9, b=109)
          C(a=2, b=1)
          C(a=2, b=4)






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 23 '18 at 16:40









          Jon Clements

          99.5k19174219




          99.5k19174219










          answered Nov 23 '18 at 16:30









          Patrick HaughPatrick Haugh

          29k92747




          29k92747













          • But why is it working in the first case (in my question)? The list isn't ordered.

            – d4rty
            Nov 23 '18 at 16:41






          • 1





            Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

            – Patrick Haugh
            Nov 23 '18 at 16:47



















          • But why is it working in the first case (in my question)? The list isn't ordered.

            – d4rty
            Nov 23 '18 at 16:41






          • 1





            Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

            – Patrick Haugh
            Nov 23 '18 at 16:47

















          But why is it working in the first case (in my question)? The list isn't ordered.

          – d4rty
          Nov 23 '18 at 16:41





          But why is it working in the first case (in my question)? The list isn't ordered.

          – d4rty
          Nov 23 '18 at 16:41




          1




          1





          Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

          – Patrick Haugh
          Nov 23 '18 at 16:47





          Because your example list happens to satisfy the heap invariant when < isn't reversed, but isn't a valid heap when < is reversed. The Theory section of the heapq documentation would be a good place to start reading, though I also recommend you actually try implementing all of the functions to understand how they work.

          – Patrick Haugh
          Nov 23 '18 at 16:47




















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