Showing posts with label fgdsb. Show all posts
Showing posts with label fgdsb. Show all posts

Abbreviation Match | tech::interview


Abbreviation Match | tech::interview
Abbreviation: apple can be abbreviated to 5, a4, 4e, a3e, …
If given a string and an abbreviation, return if the string matches abbr.
Assume the original string only contains alphabetic characters.
For example:
"internationalization", "i5a11o1" -> true

bool abbr_match(const string& str, const string& abbr) {
int strid = 0, abbrid = 0;
int number = 0;
for(;; ++abbrid) {
if(strid >= str.length()) break;
char c = abbr[abbrid];
if (c >= '0' && c <= '9') {
number = number * 10 + (c - '0');
} else {
if(number != 0) {
strid += number;
number = 0;
}
if(c == '\0' || str[strid] != c) break;
strid++;
}
}
return strid == (int)str.length() && abbrid == (int)abbr.length();
}
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Merge Sorted Stream | tech::interview


Merge Sorted Stream | tech::interview
输入为一个Iterator数组,这些Iterator分别取出来的数都是已排序的,设计并实现一个MergeIterator类,merge这些sorted iterator。
你的MergeIterator类需要包含has_next和get_next方法。
注意,Iterator也只包含has_next和get_next方法。
G家的onsite题,实际上就是多路归并,用一个heap就可以搞定,注意类的细节设计即可。
看过一个面经,面试者跟面试官说Iterator的接口需要有个peek()函数(即只看,不move),实际上是可以不需要的。
MergeIterator(vector<Iterator> streams) {
for(auto& pi : streams) {
if(!pi.has_next()) continue;
_heap.emplace(pi.get_next(), _streams.size());
_streams.push_back(pi);
}
}
int get_next() {
auto ret = _heap.top();
_heap.pop();
if(_streams[ret.second].has_next())
_heap.emplace(_streams[ret.second].get_next(), ret.second);
return ret.first;
}
bool has_next() { return !_heap.empty(); }
private:
using _pair = pair<int,int>;
vector<Iterator> _streams;
priority_queue<_pair,vector<_pair>,function<bool(_pair&,_pair&)>> _heap {
[](_pair& a, _pair& b){return a.first >= b.first;}
};
Read full article from Merge Sorted Stream | tech::interview

Search Missing Numbers | tech::interview


Search Missing Numbers | tech::interview
A sorted array contains integers from 1..n with m of them missing. Find all missing numbers.
Example:
n = 8 , m = 2
arr = [1,2,4,5,6,8]
Result has to be {3, 7}.
http://www.careercup.com/question?id=5692698000359424
def find(a, left, right, result):
    if left == right:
        return

    if left == right - 1:
        if a[left] < a[right] - 1:
            for i in range(a[left] + 1, a[right]):
                result.append(i)
    else:
        mid = (left + right) / 2

        if a[mid] - a[left] > mid - left:
            find(a, left, mid, result)

        if a[right] - a[mid] > right - mid:
            find(a, mid, right, result)
Read full article from Search Missing Numbers | tech::interview

Next Unique-digit Integer | tech::interview


Next Unique-digit Integer | tech::interview
有一种integer序列满足以下条件
  1. 非负
  2. 不能有重复的digit,比如11是不合法的
  3. 递增,既后面产生的比前面产生的要大,比如10的下一个数字是12
    显然,这组数字的范围为[0, 9876543210]
输入一个一定符合该条件的数字,返回下一个(比输入大但是最小的)数。
如果不存在这样的下一个数,则返回0
For example:
Given 789
Next integer should be 790
Given 98
Next integer should be 102
Given 9876543210
Just return 0
int64_t get_next_number(uint64_t n) {
if(n >= 9876543210) return 0;
auto check_valid = [](uint64_t num) {
bool used[10] = {false};
while(num) {
if(used[num % 10]) return false;
used[num % 10] = true;
num /= 10;
}
return true;
};
while(!check_valid(++n));
return n;
}
Read full article from Next Unique-digit Integer | tech::interview

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