I'm learning about classes in Python. Running two examples, both with function have 2 arguments (1 of which is given), however, only one examples executes but the other doesn't.
This one executes even though x.setdata()
only has 1 arguments.
class FirstClass:
def setdata(self,value):
self.data=value
def display(self):
print(self.data)
#make two instances
x=FirstClass()
y=FirstClass()
x.setdata("king arthur") #call methods: self is x??
y.setdata(3.31212)
x.display()
y.display()
This one doesn't run, error msg: __init__() takes exactly 2 arguments (1 given)
:
class Heap:
def __init__(self, sorting_key):
"""Initializes a new instance of a heap.
Args:
sorting_key: Specifies the attribute of the object inserted
into the heap, on the basis of which the heap was created.
"""
self.heap = list()
self.mapping = dict()
self.sorting_key = sorting_key
def heapify_up(self, child):
"""Standard heapify operation, as described in CLRS.
Works by swapping the element originially at index child in the heap
with its parent until the heap property is satisfied. Modifies the
appropriate heap attribute
Args:
child: Index of the element that violates the heap property
Returns:
None
"""
parent = (child - 1) / 2
# Swaps the element originally at the index child with its parent
# until the value of the specifed attribute of the parent is greater
# than the value of the specified attribute of the element itself
while (getattr(self.heap[parent], self.sorting_key) <
getattr(self.heap[child], self.sorting_key)):
if (parent == -1):
# This means child was 0, which means we have reached the
# top of the heap
return
# Swap the mappings as well to ensure that future references in
# the mapping dict refer to the correct position of the object in
# the heap
self.mapping[self.heap[parent].player] = child
self.mapping[self.heap[child].player] = parent
# Swap the parent and the child
temp = self.heap[parent]
self.heap[parent] = self.heap[child]
self.heap[child] = temp
# Move the child and parent pointers up the heap
child = parent
parent = (child - 1) / 2
x=Heap()
x.__init__([42,32,54,1,3])
x.heapify_up(l,5)
print x