I had a question in my exam today. Consider I have a list like this:
[[0, 0], [95, 1], [0, 5], [200, 3], [1000, 4], [300, 2]]
how can I find elements which their ele[0] values are less than a certain value and ele[1] is the minimum among them all?
example: if input n=100?
then [0, 0], [95, 1], [0, 5]
have less ele[0]
value than 100
, and [0,0]
is the minimum.
so the output should be [0,0]
The question wanted us to do it with a heap but I don't know how. any help would be appreciated.
CodePudding user response:
Here is a working solution:
from heapq import heappush as push, heappop as pop
def find_min_ele(lst, n):
h = []
for a, b in lst:
if a < n:
push(h, [b, a]) # reverse!
return pop(h)[::-1] # reverse again
>>> find_min_ele([[95, 1], [0, 5], [200, 3], [1000, 4], [300, 2]], 200)
[95, 1]
CodePudding user response:
To implement a min-heap in Python, you can use the heapq module, which provides functions for creating and manipulating min-heaps. Here is an example of how you can use a min-heap to find the element with the minimum value of ele[1] among the elements with ele[0] values less than a certain value:
import heapq
def find_min_ele(lst, n):
# create a min-heap
heap = []
# add elements to the heap
for ele in lst:
if ele[0] < n:
heapq.heappush(heap, ele[1])
# find the minimum element
min_value = heapq.heappop(heap)
for ele in lst:
if ele[1] == min_value:
return ele
lst = [[0, 0], [95, 1], [0, 5], [200, 3], [1000, 4], [300, 2]]
n = 200
print(find_min_ele(lst, n))
In this example, the find_min_ele function takes a list of elements and a value n as arguments. It creates a min-heap and adds the values of ele[1] from the elements with ele[0] values less than n to the heap. Finally, it returns the minimum value from the heap by calling the heappop function.