2080. Range Frequency Queries
Description
Design a data structure to find the frequency of a given value in a given subarray.
The frequency of a value in a subarray is the number of occurrences of that value in the subarray.
Implement the RangeFreqQuery
class:
RangeFreqQuery(int[] arr)
Constructs an instance of the class with the given 0-indexed integer arrayarr
.int query(int left, int right, int value)
Returns the frequency ofvalue
in the subarrayarr[left...right]
.
A subarray is a contiguous sequence of elements within an array. arr[left...right]
denotes the subarray that contains the elements of nums
between indices left
and right
(inclusive).
Example 1:
Input ["RangeFreqQuery", "query", "query"] [[[12, 33, 4, 56, 22, 2, 34, 33, 22, 12, 34, 56]], [1, 2, 4], [0, 11, 33]] Output [null, 1, 2] Explanation RangeFreqQuery rangeFreqQuery = new RangeFreqQuery([12, 33, 4, 56, 22, 2, 34, 33, 22, 12, 34, 56]); rangeFreqQuery.query(1, 2, 4); // return 1. The value 4 occurs 1 time in the subarray [33, 4] rangeFreqQuery.query(0, 11, 33); // return 2. The value 33 occurs 2 times in the whole array.
Constraints:
1 <= arr.length <= 105
1 <= arr[i], value <= 104
0 <= left <= right < arr.length
- At most
105
calls will be made toquery
Solution
range-frequency-queries.py
class RangeFreqQuery:
def __init__(self, arr: List[int]):
self.mp = collections.defaultdict(list)
for i, x in enumerate(arr):
self.mp[x].append(i)
def query(self, left: int, right: int, value: int) -> int:
low = bisect.bisect_left(self.mp[value], left)
high = bisect.bisect(self.mp[value], right)
return high - low
# Your RangeFreqQuery object will be instantiated and called as such:
# obj = RangeFreqQuery(arr)
# param_1 = obj.query(left,right,value)