Completed both the problems - Please Review

hashset.py

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+# Create a list of constant size
+# Get hashed valued by taking mod of key and size of list
+
+# In put, check whether the hashed value exists in the list or not
+# If it does not, add a new Node with key as key
+# If it does exist, then traverse till we find the key and do nothing
+# If the key does not exist then add it at the end of the linked list for that hash
+
+# To contains, calculate hashed value of the key
+# If hashed valued exists in the list, iterate through the linked list till we find the key
+# If key found, return True
+# Else return False
+
+# To remove, we will check whether the hashed value exists in the list or not
+# If it does, we will check whether if it exists at the head
+# If it does, we will point the fist node to current's next
+# Else we will iterate till we find the key by keeping two pointers, prev and current
+# If key found, change the prev.next to current.next
+
+# Time Complexity: Worst Case: O(n) Too many collisions, Average Case: O(1)
+# Space Complexity: O(n)
+
+class Node(object):
+
+    def __init__(self, key):
+        self.key = key
+        self.next = None
+
+
+class MyHashSet(object):
+
+    def __init__(self):
+        """
+        Initialize your data structure here.
+        """
+        self.size = 1000
+        self.hashset = [None] * self.size
+
+
+    def hashing(self, key):
+        return key % self.size
+
+
+    def add(self, key):
+        """
+        :type key: int
+        :rtype: None
+        """
+        hashed = self.hashing(key)
+        if self.hashset[hashed]:
+            current = self.hashset[hashed]
+            while current:
+                if current.key == key:
+                    return
+                elif current.next is None:
+                    break
+                current = current.next
+            current.next = Node(key)
+        else:
+            self.hashset[hashed] = Node(key)
+
+    def remove(self, key):
+        """
+        :type key: int
+        :rtype: None
+        """
+        hashed = self.hashing(key)
+        if self.hashset[hashed]:
+            prev, current = self.hashset[hashed], self.hashset[hashed]
+            if not current:
+                return
+            elif current.key == key:
+                self.hashset[hashed] = current.next
+            else:
+                current = current.next
+                while current:
+                    if current.key == key:
+                        prev.next = current.next
+                        break
+                    prev, current = prev.next, current.next
+
+
+
+    def contains(self, key):
+        """
+        Returns true if this set contains the specified element
+        :type key: int
+        :rtype: bool
+        """
+        hashed = self.hashing(key)
+        if self.hashset[hashed]:
+            current = self.hashset[hashed]
+            while current:
+                if current.key == key:
+                    return True
+                current = current.next
+        return False
+
+class MyHashSetDoubleHashing(object):
+
+    def __init__(self):
+        """
+        Initialize your data structure here.
+        """
+        self.size = 1000
+        self.hashSet = [None] * self.size
+
+    def __hashingOne(self, key):
+        return key % self.size
+
+    def __hashingTwo(self, key):
+        return key // self.size
+
+    def add(self, key):
+        """
+        :type key: int
+        :rtype: None
+        """
+        h1 = self.__hashingOne(key)
+        h2 = self.__hashingTwo(key)
+        if not self.hashSet[h1]:
+            self.hashSet[h1] = [False] * self.size
+            self.hashSet[h1][h2] = True
+        else:
+            self.hashSet[h1][h2] = True
+
+    def remove(self, key):
+        """
+        :type key: int
+        :rtype: None
+        """
+        h1 = self.__hashingOne(key)
+        h2 = self.__hashingTwo(key)
+        if self.hashSet[h1]:
+            self.hashSet[h1][h2] = False
+
+
+    def contains(self, key):
+        """
+        Returns true if this set contains the specified element
+        :type key: int
+        :rtype: bool
+        """
+        h1 = self.__hashingOne(key)
+        h2 = self.__hashingTwo(key)
+        if self.hashSet[h1]:
+            return self.hashSet[h1][h2]
+        else:
+            return False
+
+print('LINEAR CHAINING')
+hashSet = MyHashSet()
+hashSet.add(1)         
+hashSet.add(2)         
+print(hashSet.contains(1))
+# // returns true
+print(hashSet.contains(3))
+# // returns false (not found)
+hashSet.add(2)          
+print(hashSet.contains(2))
+# // returns true
+hashSet.remove(2)          
+print(hashSet.contains(2))
+# // returns false (already removed)
+
+print('DOUBLE HASHING')
+hashSet = MyHashSetDoubleHashing()
+hashSet.add(1)         
+hashSet.add(2)         
+print(hashSet.contains(1))
+# // returns true
+print(hashSet.contains(3))
+# // returns false (not found)
+hashSet.add(2)          
+print(hashSet.contains(2))
+# // returns true
+hashSet.remove(2)          
+print(hashSet.contains(2))
+# // returns false (already removed)

queue.py

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+# Use two stacks
+# On push, keep a pointer to store the first value in stack 1 and push the value in s1.
+# On pop, if s2 is empty, pop values from s1 and push them in s2 and then pop values from s2
+# On peek, if s2 is not empty, return top value of s2 else return front
+# On empty, check whether both the stacks are empty or not
+
+# Time Complexity: push: O(1), pop: O(n), peek: O(1), empty: O(1)
+# Space Complexity: push: O(n), pop: O(n), peek: O(1), empty: O(1)
+
+class MyQueue(object):
+
+    def __init__(self):
+        """
+        Initialize your data structure here.
+        """
+        self.front = None
+        self.s1 = []
+        self.s2 = []
+
+
+    def push(self, x):
+        """
+        Push element x to the back of queue.
+        :type x: int
+        :rtype: None
+        """
+        if not self.s1:
+            self.front = x
+        self.s1.append(x)
+
+
+    def pop(self):
+        """
+        Removes the element from in front of queue and returns that element.
+        :rtype: int
+        """
+        if not self.s2:
+            while self.s1:
+                self.s2.append(self.s1.pop())
+        return self.s2.pop()
+
+    def peek(self):
+        """
+        Get the front element.
+        :rtype: int
+        """
+        if self.s2:
+            return self.s2[-1]
+        return self.front
+
+
+    def empty(self):
+        """
+        Returns whether the queue is empty.
+        :rtype: bool
+        """
+        if not self.s1 and not self.s2:
+            return True
+        return False
+
+
+
+queue = MyQueue()
+
+queue.push(1)
+queue.push(2)  
+print(queue.peek())
+#  // returns 1
+print(queue.pop())
+#  // returns 1
+print(queue.empty())
+#  // returns false