"What about exploiting the hash set and that is it?
def smallestSubstring(s: str, t: str) -> str:
if len(t) > len(s):
return ""
r = len(s) - 1
not_found = True
while r > 0 and not_found:
subs_set = set(s[0:r + 1])
for c in t:
if not c in subs_set:
not_found = False
if not_found:
r -= 1
else:
r += 1
l = 0
not_found = True
while l < r and not_"
Gabriele G. - "What about exploiting the hash set and that is it?
def smallestSubstring(s: str, t: str) -> str:
if len(t) > len(s):
return ""
r = len(s) - 1
not_found = True
while r > 0 and not_found:
subs_set = set(s[0:r + 1])
for c in t:
if not c in subs_set:
not_found = False
if not_found:
r -= 1
else:
r += 1
l = 0
not_found = True
while l < r and not_"See full answer
"Clarifying
When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes.
Understanding of cloud computing first. I'll use some analogies:
Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU.
CPU and GPU are like your big calculators.
You can buy a powerful CPU and GPU, but problems:
It costs a lot to buy.
It costs a lot to run.
You don't need it 24-7.
You are not a un"
Darpan D. - "Clarifying
When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes.
Understanding of cloud computing first. I'll use some analogies:
Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU.
CPU and GPU are like your big calculators.
You can buy a powerful CPU and GPU, but problems:
It costs a lot to buy.
It costs a lot to run.
You don't need it 24-7.
You are not a un"See full answer
"A red-black tree is a self-balancing binary search tree. The motivation for this is that the benefits of O(logN) search, insertion, and deletion that a binary tree provides us will disappear if we let the tree get too "imbalanced" (e.g. there are too many nodes on one side of the tree or some branches have a depth that is way out of proportion to the average branch depth). This imbalance will occur if we don't adjust the tree after inserting or deleting nodes, hence our need for self-balancing c"
Alex M. - "A red-black tree is a self-balancing binary search tree. The motivation for this is that the benefits of O(logN) search, insertion, and deletion that a binary tree provides us will disappear if we let the tree get too "imbalanced" (e.g. there are too many nodes on one side of the tree or some branches have a depth that is way out of proportion to the average branch depth). This imbalance will occur if we don't adjust the tree after inserting or deleting nodes, hence our need for self-balancing c"See full answer
"1) Have a common goal
2) Have a clear and fair accountability between teams
3) Ensure conflicts are resolved in time on common issues
4) Promote common Brain-storming , problem solving sessions
5) Most important , Have clear and effective communication established and practised"
Saurabh N. - "1) Have a common goal
2) Have a clear and fair accountability between teams
3) Ensure conflicts are resolved in time on common issues
4) Promote common Brain-storming , problem solving sessions
5) Most important , Have clear and effective communication established and practised"See full answer
"public class HashMap {
public class Element {
T key;
V value;
Element(T k, V v) {
this.key = k;
this.value = v;
}
}
private static final int DEFAULT_CAPACITY = 16;
private static final float LOAD_FACTOR = 0.75f;
private LinkedList[] table = new LinkedList[DEFAULT_CAPACITY];
private int size = 0;
private int threshold = (int) (DEFAULTCAPACITY * LOADFACTOR);
public void put(T k"
Md kamrul H. - "public class HashMap {
public class Element {
T key;
V value;
Element(T k, V v) {
this.key = k;
this.value = v;
}
}
private static final int DEFAULT_CAPACITY = 16;
private static final float LOAD_FACTOR = 0.75f;
private LinkedList[] table = new LinkedList[DEFAULT_CAPACITY];
private int size = 0;
private int threshold = (int) (DEFAULTCAPACITY * LOADFACTOR);
public void put(T k"See full answer