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  1. Frequency Queries
  2. Discussions

Frequency Queries

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recency

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844 Discussions

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  • saurabh_srivast2
     + 0 comments
    def freqQuery(queries):
    ans = []
    fMap = defaultdict(int)
    cMap = defaultdict(int)
    for op, num in queries:
        if op == 1:
            count = fMap[num] 
            fMap[num] += 1
            cMap[count] -= 1
            cMap[count+1] += 1
        elif op == 2:
            count = fMap[num] 
            if count > 0:
                fMap[num] -= 1
                cMap[count] -= 1
                cMap[count-1] += 1
        else:
            ans.append(int(cMap[num] > 0))
    return ans

  • kaustubh14
     + 0 comments

    What's wrong here, which corner case may I be missing? (suceeds with some of them)

    def freqQuery(queries):
    '''
    Function to conduct the operation as defined in the query list upon an array

    Inputs:
    queries         - [List(tuples)] List containing tuples with (actionType, value)

    Returns:
    None
    '''
    myArray = []
    outputArray = []
    
    for query in queries:
        queryValue = query[1]
        
        # debug
        print(f"myArray: {myArray}")
        print(f"query type: {query[0]}, query value: {queryValue}")
        
        # Check type of query and perform mentioned action
        match query[0]:
            case 1:
                # Append to list
                myArray.append(queryValue)
            case 2:
                # Convert to set and check if the element exists
                mySet = set(myArray)
                if mySet.intersection([queryValue]):
                    myArray.remove(queryValue)
            case 3:
                # Create a dictinoary of frequencies
                myDict = dict(())
                for element in myArray:
                    count = 0
                    if myDict.get(element) == None:
                        myDict.update({element: count+1})
                    else:
                        myDict.update({element: myDict.get(element)+ 1})

                # Convert the dict to list for easy iteration
                frequencies = list(myDict.items())
                
                # Check for matching or NO frequencies
                if not frequencies:
                    outputArray.append(0)
                else:
                    for index, frequency in enumerate(frequencies):
                        if frequency[1] == queryValue:
                            outputArray.append(1)
                            break
                        else:
                            outputArray.append(0)
                            break
                             
    return outputArray

  • Josh_Kozlowski
     + 0 comments

    c#

            public static List<int> freqQuery(List<List<int>> queries)
        {
            Dictionary<long, int> res = new Dictionary<long, int>();
            List<int> ret = new List<int>();
            foreach (List<int> query in queries)
            {
                switch(query[0])
                {
                    case 1:
                        if (!res.ContainsKey(query[1]))
                        {
                            res.Add(query[1], 1);
                        } else
                        {
                            res[query[1]]++;
                        }

                        break;
                    case 2:
                        if (res.ContainsKey(query[1]))
                        {
                            if (res[query[1]] == 1)
                            {
                                res.Remove(query[1]);
                            }
                            else
                            {
                                res[query[1]]--;
                            }
                        }
                        break;
                    case 3:
                        int y = 0;
                        if (res.Values.Contains(query[1])) { y = 1; }
                        ret.Add(y);
                        break;
                }
            }

            return ret;

        }

  • dehaka
     + 0 comments

    approximately O(q) using unordered_map, which are hash objects

    each query takes constant time if there's no hash collison

    vector<int> freqQuery(const vector<vector<int>>& queries) {
    unordered_map<int, int> freq, freqCount;
    vector<int> answer;
    for (int i = 0; i < queries.size(); ++i) {
        if (queries[i][0] == 1) {
            auto it = freq.find(queries[i][1]);
            if (it != freq.end()) --freqCount[it->second];
            int t = ++freq[queries[i][1]];
            ++freqCount[t];
        }
        else if (queries[i][0] == 2) {
            auto it = freq.find(queries[i][1]);
            if (it != freq.end() and it->second != 0) {
                --freqCount[it->second];
                --it->second;
                ++freqCount[it->second];
            }
        }
        else if (queries[i][0] == 3) {
            auto it = freqCount.find(queries[i][1]);
            if (it != freqCount.end() and it->second != 0) answer.push_back(1);
            else answer.push_back(0);
        }
    }
    return answer;
}

  • Nabil_Moiun
     + 0 comments
    def freqQuery(queries):
    freq_map = {}
    result = []
     
    for query in queries:
        operation, element = query
        
        if operation == 1:
            freq_map.setdefault(element, 0)
            freq_map[element] += 1
            
        elif operation == 2 and freq_map.get(element):
            freq_map[element] -= 1
            
        elif operation == 3:
            matched = element in freq_map.values()
            result.append(1) if matched else result.append(0)
            
    return result