add boilerplate for second edition

This commit is contained in:
Mia von Steinkirch 2020-02-08 17:20:00 -08:00
parent dc3ebf3173
commit 5fafebba15
279 changed files with 24265 additions and 0 deletions

15
first_edition/README.md Normal file
View File

@ -0,0 +1,15 @@
## Python, Algorithms and Data Structures (2014)
[Download PDF (first edition, published by Hanbit Media)](https://github.com/bt3gl/Python-and-Algorithms-and-Data-Structures/blob/master/First_edition_2014/ebook_pdf/book_second_edition.pdf).
## To run the snippet:
Install dependencies in a [virtual environment](https://coderwall.com/p/8-aeka):
```
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
```

Binary file not shown.

View File

@ -0,0 +1,41 @@
#!/usr/bin/env python
__author__ = "bt3"
class HashTable(object):
def __init__(self, slots=10):
self.slots = slots
self.table = []
self.create_table()
def hash_key(self, value):
return hash(value)%self.slots
def create_table(self):
for i in range(self.slots):
self.table.append([])
def add_item(self, value):
key = self.hash_key(value)
self.table[key].append(value)
def print_table(self):
for key in range(len(self.table)):
print "Key is %s, value is %s." %(key, self.table[key])
def find_item(self, item):
pos = self.hash_key(item)
if item in self.table[pos]:
return True
else:
return False
if __name__ == '__main__':
dic = HashTable(5)
for i in range(1, 40, 2):
dic.add_item(i)
dic.print_table()
assert(dic.find_item(20) == False)
assert(dic.find_item(21) == True)

View File

@ -0,0 +1,47 @@
#!/usr/bin/env python
# Time: 5 min
__author__ = "bt3"
class Queue(object):
def __init__(self):
self.enq = []
self.deq = []
def enqueue(self, item):
return self.enq.append(item)
def deque(self):
if not self.deq:
while self.enq:
self.deq.append(self.enq.pop())
return self.deq.pop()
def peak(self):
if not self.deq:
while self.enq:
self.deq.append(self.enq.pop())
if self.deq:
return self.deq[-1]
def size(self):
return len(self.enq) + len(self.deq)
def isempty(self):
return not (self.enq + self.deq)
if __name__ == '__main__':
q = Queue()
for i in range(1,11):
q.enqueue(i)
print 'Size:', q.size()
print 'Is empty?', q.isempty()
print 'Peak: ', q.peak()
print
print 'Dequeuing...'
for i in range(10):
print q.deque()
print 'Size:', q.size()
print 'Is empty?', q.isempty()
print 'Peak: ', q.peak()

View File

@ -0,0 +1,63 @@
#!/usr/bin/env python
__author__ = "bt3"
class Stack(object):
def __init__(self):
self.content = []
self.min_array = []
self.min = float('inf')
def push(self, value):
if value < self.min:
self.min = value
self.content.append(value)
self.min_array.append(self.min)
def pop(self):
if self.content:
value = self.content.pop()
self.min_array.pop()
if self.min_array:
self.min = self.min_array[-1]
return value
else:
return 'Empty List. '
def find_min(self):
if self.min_array:
return self.min_array[-1]
else:
return 'No min value for empty list.'
def size(self):
return len(self.content)
def isEmpty(self):
return not bool(self.content)
def peek(self):
if self.content:
return self.content[-1]
else:
print('Stack is empty.')
def __repr__(self):
return '{}'.format(self.content)
if __name__ == '__main__':
q = Stack()
for i in range(15,20):
q.push(i)
for i in range(10,5,-1):
q.push(i)
for i in range(1, 13):
print q.pop(), q.find_min()

View File

@ -0,0 +1 @@
__all__=["hash_tables", "heap", "linked_list", "queues", "stacks"]

View File

@ -0,0 +1,51 @@
#!/usr/bin/env python
__author__ = "bt3"
import heapq
def find_N_largest_items_seq(seq, N):
''' find the N largest items in a sequence '''
return heapq.nlargest(N,seq)
def find_N_smallest_items_seq(seq, N):
''' find the N smallest items in a sequence '''
return heapq.nsmallest(N, seq)
def find_smallest_items_seq_heap(seq):
''' find the smallest items in a sequence using heapify first'''
''' heap[0] is always the smallest item '''
''' pops the smallest item, O(logN) '''
heapq.heapify(seq)
return heapq.heappop(seq)
def find_smallest_items_seq(seq):
''' if it is only one item, min() is faster '''
return min(seq)
def find_N_smallest_items_seq_sorted(seq, N):
''' N ~ len(seq), better sort instead'''
return sorted(seq)[:N]
def find_N_largest_items_seq_sorted(seq, N):
''' N ~ len(seq), better sort instead'''
return sorted(seq)[len(seq)-N:]
def test_find_N_largest_smallest_items_seq(module_name='this module'):
seq = [1, 3, 2, 8, 6, 10, 9]
N = 3
assert(find_N_largest_items_seq(seq, N) == [10, 9, 8])
assert(find_N_largest_items_seq_sorted(seq, N) == [8, 9, 10])
assert(find_N_smallest_items_seq(seq, N) == [1,2,3])
assert(find_N_smallest_items_seq_sorted(seq, N) == [1,2,3])
assert(find_smallest_items_seq(seq) == 1)
assert(find_smallest_items_seq_heap(seq) == 1)
s = 'Tests in {name} have {con}!'
print(s.format(name=module_name, con='passed'))
if __name__ == '__main__':
test_find_N_largest_smallest_items_seq()

View File

@ -0,0 +1,49 @@
#!/usr/bin/env python
__author__ = "bt3"
class Heapify(object):
def __init__(self, data=None):
self.data = data or []
for i in range(len(data)//2, -1, -1):
self.__max_heapify__(i)
def __repr__(self):
return '{}'.format(self.data)
def parent(self, i):
return i >> 1
def left_child(self, i):
return (i << 1) + 1
def right_child(self, i):
return (i << 1) + 2 # +2 instead of +1 because it's 0-indexed.
def __max_heapify__(self, i):
largest = i
left = self.left_child(i)
right = self.right_child(i)
n = len(self.data)
largest = (left < n and self.data[left] > self.data[i]) and left or i
largest = (right < n and self.data[right] > self.data[largest]) and right or largest
if i is not largest:
self.data[i], self.data[largest] = self.data[largest], self.data[i]
self.__max_heapify__(largest)
def extract_max(self):
n = len(self.data)
max_element = self.data[0]
self.data[0] = self.data[n - 1]
self.data = self.data[:n - 1]
self.__max_heapify__(0)
return max_element
def test_Heapify():
l1 = [3, 2, 5, 1, 7, 8, 2]
h = Heapify(l1)
assert(h.extract_max() == 8)
if __name__ == '__main__':
test_Heapify()

View File

@ -0,0 +1,27 @@
#!/usr/bin/env python
__author__ = "bt3"
import heapq
def merge_sorted_seq(seq1, seq2):
''' merge two sorted sequences with little ovehead. the result
will be sorted, which is different of doing just +'''
result = []
for c in heapq.merge(seq1, seq2):
result.append(c)
return result
def test_merge_sorted_seq(module_name='this module'):
seq1 = [1, 2, 3, 8, 9, 10]
seq2 = [2, 3, 4, 5, 6, 7, 9]
seq3 = seq1 + seq2
assert(merge_sorted_seqseq1, seq2) == sorted(seq3))
if __name__ == '__main__':
test_merge_sorted_seq()

View File

@ -0,0 +1,40 @@
#!/usr/bin/env python
__author__ = "bt3"
import heapq
class PriorityQueue(object):
''' implements a priority queue class '''
def __init__(self):
self._queue = []
self._index = 0 # comparying same priority level
def push(self, item, priority):
heapq.heappush(self._queue, (-priority, self._index, item))
self._index += 1
def pop(self):
return heapq.heappop(self._queue)[-1]
class Item:
def __init__(self, name):
self.name = name
def __repr__(self):
return "Item({!r})".format(self.name)
def test_PriorityQueue():
''' push and pop are all O(logN) '''
q = PriorityQueue()
q.push(Item('test1'), 1)
q.push(Item('test2'), 4)
q.push(Item('test3'), 3)
assert(str(q.pop()) == "Item('test2')")
if __name__ == '__main__':
test_PriorityQueue()

View File

@ -0,0 +1,55 @@
#!/usr/bin/env python
__author__ = "bt3"
''' implement a function to see whether a linked list is circular.
To implement this, we just need two pointers with different
paces (for example, one goes twice faster)'''
from linked_list_fifo import LinkedListFIFO
from node import Node
class cicularLinkedListFIFO(LinkedListFIFO):
def _add(self, value):
self.length += 1
node = Node(value, self.head)
if self.tail:
self.tail.pointer = node
self.tail = node
def isCircularll(ll):
p1 = ll.head
p2 = ll.head
while p2:
try:
p1 = p1.pointer
p2 = p2.pointer.pointer
except:
break
if p1 == p2:
return True
return False
if __name__ == '__main__':
ll = LinkedListFIFO()
for i in range(10):
ll.addNode(i)
ll._printList()
print(isCircularll(ll))
lcirc = cicularLinkedListFIFO()
for i in range(10):
lcirc.addNode(i)
print(isCircularll(lcirc))

View File

@ -0,0 +1,81 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Implement a double-linked list, which is very simple, we just need inherits
from a Linked List Class and add an attribute for previous.'''
from linked_list_fifo import LinkedListFIFO
class dNode(object):
def __init__(self, value=None, pointer=None, previous=None):
self.value = value
self.pointer = pointer
self.previous = previous
class dLinkList(LinkedListFIFO):
def printListInverse(self):
node = self.tail
while node:
print(node.value)
try:
node = node.previous
except:
break
def _add(self, value):
self.length += 1
node = dNode(value)
if self.tail:
self.tail.pointer = node
node.previous = self.tail
self.tail = node
def _delete(self, node):
self.length -= 1
node.previous.pointer = node.pointer
if not node.pointer:
self.tail = node.previous
def _find(self, index):
node = self.head
i = 0
while node and i < index:
node = node.pointer
i += 1
return node, i
# delete nodes in general
def deleteNode(self, index):
if not self.head or not self.head.pointer:
self._deleteFirst()
else:
node, i = self._find(index)
if i == index:
self._delete(node)
else:
print('Node with index {} not found'.format(index))
if __name__ == '__main__':
from collections import Counter
ll = dLinkList()
for i in range(1, 5):
ll.addNode(i)
print('Printing the list...')
ll._printList()
print('Now, printing the list inversely...')
ll.printListInverse()
print('The list after adding node with value 15')
ll._add(15)
ll._printList()
print("The list after deleting everything...")
for i in range(ll.length-1, -1, -1):
ll.deleteNode(i)
ll._printList()

View File

@ -0,0 +1,42 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Find the mth-to-last element of a linked list.
One option is having two pointers, separated by m. P1 start at the roots
(p1 = self.root) and p2 is m-behinf pointer, which is created when p1 is at m.
When p1 reach the end, p2 is the node. '''
from linked_list_fifo import LinkedListFIFO
from node import Node
class LinkedListFIFO_find_kth(LinkedListFIFO):
def find_kth_to_last(self, k):
p1, p2 = self.head, self.head
i = 0
while p1:
if i > k:
try:
p2 = p2.pointer
except:
break
p1 = p1.pointer
i += 1
return p2.value
if __name__ == '__main__':
ll = LinkedListFIFO_find_kth()
for i in range(1, 11):
ll.addNode(i)
print('The Linked List:')
print(ll._printList())
k = 3
k_from_last = ll.find_kth_to_last(k)
print("The %dth element to the last of the LL of size %d is %d" %(k, ll.length, k_from_last))

View File

@ -0,0 +1,90 @@
#!/usr/bin/env python
__author__ = "bt3"
''' A class for a linked list that has the nodes in a FIFO order (such as a queue)'''
from node import Node
class LinkedListFIFO(object):
def __init__(self):
self.head = None
self.length = 0
self.tail = None # this is different from ll lifo
def _printList(self):
node = self.head
while node:
print(node.value)
node = node.pointer
def _addFirst(self, value):
self.length = 1
node = Node(value)
self.head = node
self.tail = node
def _deleteFirst(self):
self.length = 0
self.head = None
self.tail = None
print('The list is empty.')
def _add(self, value):
self.length += 1
node = Node(value)
if self.tail:
self.tail.pointer = node
self.tail = node
def addNode(self, value):
if not self.head:
self._addFirst(value)
else:
self._add(value)
def _find(self, index):
prev = None
node = self.head
i = 0
while node and i < index:
prev = node
node = node.pointer
i += 1
return node, prev, i
def deleteNode(self, index):
if not self.head or not self.head.pointer:
self._deleteFirst()
else:
node, prev, i = self._find(index)
if i == index and node:
self.length -= 1
if i == 0 or not prev :
self.head = node.pointer
else:
prev.pointer = node.pointer
if not self.tail == node:
self.tail = prev
else:
print('Node with index {} not found'.format(index))
if __name__ == '__main__':
ll = LinkedListFIFO()
for i in range(1, 5):
ll.addNode(i)
print('The list is:')
ll._printList()
print('The list after deleting node with index 2:')
ll.deleteNode(2)
ll._printList()
print('The list after adding node with value 15')
ll._add(15)
ll._printList()
print("The list after deleting everything...")
for i in range(ll.length-1, -1, -1):
ll.deleteNode(i)
ll._printList()

View File

@ -0,0 +1,90 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Implement a unordered linked list, i.e. a LIFO linked list (like a stack) '''
from node import Node
class LinkedListLIFO(object):
def __init__(self):
self.head = None
self.length = 0
def _printList(self):
node = self.head
while node:
print(node.value)
node = node.pointer
def _delete(self, prev, node):
self.length -= 1
if not prev:
self.head = node.pointer
else:
prev.pointer = node.pointer
def _add(self, value):
self.length += 1
self.head = Node(value, self.head)
def _find(self, index):
prev = None
node = self.head
i = 0
while node and i < index:
prev = node
node = node.pointer
i += 1
return node, prev, i
def _find_by_value(self, value):
prev = None
node = self.head
found = 0
while node and not found:
if node.value == value:
found = True
else:
prev = node
node = node.pointer
return node, prev, found
def deleteNode(self, index):
node, prev, i = self._find(index)
if index == i:
self._delete(prev, node)
else:
print('Node with index {} not found'.format(index))
def deleteNodeByValue(self, value):
node, prev, found = self._find_by_value(value)
if found:
self._delete(prev, node)
else:
print('Node with value {} not found'.format(value))
if __name__ == '__main__':
ll = LinkedListLIFO()
for i in range(1, 5):
ll._add(i)
print('The list is:')
ll._printList()
print('The list after deleting node with index 2:')
ll.deleteNode(2)
ll._printList()
print('The list after deleting node with value 3:')
ll.deleteNodeByValue(2)
ll._printList()
print('The list after adding node with value 15')
ll._add(15)
ll._printList()
print("The list after deleting everything...")
for i in range(ll.length-1, -1, -1):
ll.deleteNode(i)
ll._printList()

View File

@ -0,0 +1,33 @@
#!/usr/bin/env python
__author__ = "bt3"
class Node(object):
def __init__(self, value=None, pointer=None):
self.value = value
self.pointer = pointer
def getData(self):
return self.value
def getNext(self):
return self.pointer
def setData(self, newdata):
self.value = newdata
def setNext(self, newpointer):
self.pointer = newpointer
if __name__ == '__main__':
L = Node("a", Node("b", Node("c", Node("d"))))
assert(L.pointer.pointer.value=='c')
print(L.getData())
print(L.getNext().getData())
L.setData('aa')
L.setNext(Node('e'))
print(L.getData())
print(L.getNext().getData())

View File

@ -0,0 +1,57 @@
#!/usr/bin/env python
__author__ = "bt3"
''' This function divides a linked list in a value, where everything smaller than this value
goes to the front, and everything large goes to the back:'''
from linked_list_fifo import LinkedListFIFO
from node import Node
def partList(ll, n):
more = LinkedListFIFO()
less = LinkedListFIFO()
node = ll.head
while node:
item = node.value
if item < n:
less.addNode(item)
elif item > n:
more.addNode(item)
node = node.pointer
less.addNode(n)
nodemore = more.head
while nodemore:
less.addNode(nodemore.value)
nodemore = nodemore.pointer
return less
if __name__ == '__main__':
ll = LinkedListFIFO()
l = [6, 7, 3, 4, 9, 5, 1, 2, 8]
for i in l:
ll.addNode(i)
print('Before Part')
ll._printList()
print('After Part')
newll = partList(ll, 6)
newll._printList()

View File

@ -0,0 +1,85 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Supposing two linked lists representing numbers, such that in each of their
nodes they carry one digit. This function sums the two numbers that these
two linked lists represent, returning a third list representing the sum:'''
from linked_list_fifo import LinkedListFIFO
from node import Node
class LinkedListFIFOYield(LinkedListFIFO):
# print each node's value, starting from the head
def _printList(self):
node = self.head
while node:
yield(node.value)
node = node.pointer
def sumlls(l1, l2):
lsum = LinkedListFIFOYield()
dig1 = l1.head
dig2 = l2.head
pointer = 0
while dig1 and dig2:
d1 = dig1.value
d2 = dig2.value
sum_d = d1 + d2 + pointer
if sum_d > 9:
pointer = sum_d//10
lsum.addNode(sum_d%10)
else:
lsum.addNode(sum_d)
pointer = 0
dig1 = dig1.pointer
dig2 = dig2.pointer
if dig1:
sum_d = pointer + dig1.value
if sum_d > 9:
lsum.addNode(sum_d%10)
else:
lsum.addNode(sum_d)
dig1 = dig1.pointer
if dig2:
sum_d = pointer + dig2.value
if sum_d > 9:
lsum.addNode(sum_d%10)
else:
lsum.addNode(sum_d)
dig2 = dig2.pointer
return lsum
if __name__ == '__main__':
l1 = LinkedListFIFOYield() # 2671
l1.addNode(1)
l1.addNode(7)
l1.addNode(6)
l1.addNode(2)
l2 = LinkedListFIFOYield() # 455
l2.addNode(5)
l2.addNode(5)
l2.addNode(4)
lsum = sumlls(l1, l2)
l = list(lsum._printList())
for i in reversed(l):
print i

View File

@ -0,0 +1,109 @@
#!/usr/bin/env python
__author__ = "bt3"
""" A class for an animal shelter with two queues"""
class Node(object):
def __init__(self, animalName=None, animalKind=None, pointer=None):
self.animalName = animalName
self.animalKind = animalKind
self.pointer = pointer
self.timestamp = 0
class AnimalShelter(object):
def __init__(self):
self.headCat = None
self.headDog = None
self.tailCat = None
self.tailDog = None
self.animalNumber = 0
# Queue any animal
def enqueue(self, animalName, animalKind):
self.animalNumber += 1
newAnimal = Node(animalName, animalKind)
newAnimal.timestamp = self.animalNumber
if animalKind == 'cat':
if not self.headCat:
self.headCat = newAnimal
if self.tailCat:
self.tailCat.pointer = newAnimal
self.tailCat = newAnimal
elif animalKind == 'dog':
if not self.headDog:
self.headDog = newAnimal
if self.tailDog:
self.tailDog.pointer = newAnimal
self.tailDog = newAnimal
# Dequeue methods
def dequeueDog(self):
if self.headDog:
newAnimal = self.headDog
self.headDog = newAnimal.pointer
return str(newAnimal.animalName)
else:
return 'No Dogs!'
def dequeueCat(self):
if self.headCat:
newAnimal = self.headCat
self.headCat = newAnimal.pointer
return str(newAnimal.animalName)
else:
return 'No Cats!'
def dequeueAny(self):
if self.headCat and not self.headDog:
return self.dequeueCat()
elif self.headDog and not self.headCat:
return self.dequeueDog()
elif self.headDog and self.headCat:
if self.headDog.timestamp < self.headCat.timestamp:
return self.dequeueDog()
else:
return self.dequeueCat()
else:
return ('No Animals!')
def _print(self):
print("Cats:")
cats = self.headCat
while cats:
print(cats.animalName, cats.animalKind)
cats = cats.pointer
print("Dogs:")
dogs = self.headDog
while dogs:
print(dogs.animalName, dogs.animalKind)
dogs = dogs.pointer
if __name__ == '__main__':
qs = AnimalShelter()
qs.enqueue('bob', 'cat')
qs.enqueue('mia', 'cat')
qs.enqueue('yoda', 'dog')
qs.enqueue('wolf', 'dog')
qs._print()
print("Deque one dog and one cat...")
qs.dequeueDog()
qs.dequeueCat()
qs._print()

View File

@ -0,0 +1,39 @@
#!/usr/bin/env python
__author__ = "bt3"
''' a class for a double ended queue (also inefficient) '''
from queue import Queue
class Deque(Queue):
def enqueue_back(self, item):
self.items.append(item)
def dequeue_front(self):
return self.items.pop(0)
if __name__ == '__main__':
queue = Deque()
print("Is the queue empty? ", queue.isEmpty())
print("Adding 0 to 10 in the queue...")
for i in range(10):
queue.enqueue(i)
print("Queue size: ", queue.size())
print("Queue peek : ", queue.peek())
print("Dequeue...", queue.dequeue())
print("Queue peek: ", queue.peek())
print("Is the queue empty? ", queue.isEmpty())
print(queue)
print("\nNow using the dequeue methods...")
print("Dequeue from front...", queue.dequeue_front())
print("Queue peek: ", queue.peek())
print(queue)
print("Queue from back...")
queue.enqueue_back(50)
print("Queue peek: ", queue.peek())
print(queue)

View File

@ -0,0 +1,80 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Queue acts as a container for nodes (objects) that are inserted and removed according FIFO'''
class Node(object):
def __init__(self, value=None, pointer=None):
self.value = value
self.pointer = None
class LinkedQueue(object):
def __init__(self):
self.head = None
self.tail = None
def isEmpty(self):
return not bool(self.head)
def dequeue(self):
if self.head:
value = self.head.value
self.head = self.head.pointer
return value
else:
print('Queue is empty, cannot dequeue.')
def enqueue(self, value):
node = Node(value)
if not self.head:
self.head = node
self.tail = node
else:
if self.tail:
self.tail.pointer = node
self.tail = node
def size(self):
node = self.head
num_nodes = 0
while node:
num_nodes += 1
node = node.pointer
return num_nodes
def peek(self):
return self.head.value
def _print(self):
node = self.head
while node:
print(node.value)
node = node.pointer
if __name__ == '__main__':
queue = LinkedQueue()
print("Is the queue empty? ", queue.isEmpty())
print("Adding 0 to 10 in the queue...")
for i in range(10):
queue.enqueue(i)
print("Is the queue empty? ", queue.isEmpty())
queue._print()
print("Queue size: ", queue.size())
print("Queue peek : ", queue.peek())
print("Dequeue...", queue.dequeue())
print("Queue peek: ", queue.peek())
queue._print()

View File

@ -0,0 +1,47 @@
#!/usr/bin/env python
__author__ = "bt3"
""" Using our deque class and Python's deque class """
import string
import collections
from deque import Deque
STRIP = string.whitespace + string.punctuation + "\"'"
def palindrome_checker_with_deque(str1):
d1 = Deque()
d2 = collections.deque()
for s in str1.lower():
if s not in STRIP:
d2.append(s)
d1.enqueue(s)
eq1 = True
while d1.size() > 1 and eq1:
if d1.dequeue_front() != d1.dequeue():
eq1 = False
eq2 = True
while len(d2) > 1 and eq2:
if d2.pop() != d2.popleft():
eq2 = False
return eq1, eq2
if __name__ == '__main__':
str1 = 'Madam Im Adam'
str2 = 'Buffy is a Slayer'
print(palindrome_checker_with_deque(str1))
print(palindrome_checker_with_deque(str2))

View File

@ -0,0 +1,63 @@
#!/usr/bin/env python
__author__ = "bt3"
class Queue(object):
def __init__(self):
self.in_stack = []
self.out_stack = []
def _transfer(self):
while self.in_stack:
self.out_stack.append(self.in_stack.pop())
def enqueue(self, item):
return self.in_stack.append(item)
def dequeue(self):
if not self.out_stack:
self._transfer()
if self.out_stack:
return self.out_stack.pop()
else:
return "Queue empty!"
def size(self):
return len(self.in_stack) + len(self.out_stack)
def peek(self):
if not self.out_stack:
self._transfer()
if self.out_stack:
return self.out_stack[-1]
else:
return "Queue empty!"
def __repr__(self):
if not self.out_stack:
self._transfer()
if self.out_stack:
return '{}'.format(self.out_stack)
else:
return "Queue empty!"
def isEmpty(self):
return not (bool(self.in_stack) or bool(self.out_stack))
if __name__ == '__main__':
queue = Queue()
print("Is the queue empty? ", queue.isEmpty())
print("Adding 0 to 10 in the queue...")
for i in range(10):
queue.enqueue(i)
print("Queue size: ", queue.size())
print("Queue peek : ", queue.peek())
print("Dequeue...", queue.dequeue())
print("Queue peek: ", queue.peek())
print("Is the queue empty? ", queue.isEmpty())
print("Printing the queue...")
print(queue)

View File

@ -0,0 +1,30 @@
#!/usr/bin/env python
__author__ = "bt3"
'''transform a decimal number to a binary number with a stack '''
from stack import Stack
def dec2bin_with_stack(decnum):
s = Stack()
str_aux = ''
while decnum > 0:
dig = decnum % 2
decnum = decnum//2
s.push(dig)
while not s.isEmpty():
str_aux += str(s.pop())
return str_aux
if __name__ == '__main__':
decnum = 9
assert(dec2bin_with_stack(decnum) == '1001')

View File

@ -0,0 +1,71 @@
#!/usr/bin/env python
__author__ = "bt3"
""" A stack made of linked list"""
class Node(object):
def __init__(self, value=None, pointer=None):
self.value = value
self.pointer = pointer
class Stack(object):
def __init__(self):
self.head = None
def isEmpty(self):
return not bool(self.head)
def push(self, item):
self.head = Node(item, self.head)
def pop(self):
if self.head:
node = self.head
self.head = node.pointer
return node.value
else:
print('Stack is empty.')
def peek(self):
if self.head:
return self.head.value
else:
print('Stack is empty.')
def size(self):
node = self.head
count = 0
while node:
count +=1
node = node.pointer
return count
def _printList(self):
node = self.head
while node:
print(node.value)
node = node.pointer
if __name__ == '__main__':
stack = Stack()
print("Is the stack empty? ", stack.isEmpty())
print("Adding 0 to 10 in the stack...")
for i in range(10):
stack.push(i)
stack._printList()
print("Stack size: ", stack.size())
print("Stack peek : ", stack.peek())
print("Pop...", stack.pop())
print("Stack peek: ", stack.peek())
print("Is the stack empty? ", stack.isEmpty())
stack._printList()

View File

@ -0,0 +1,31 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Uses a stack to reverse a string '''
from stack import Stack
def reverse_string_with_stack(str1):
s = Stack()
revStr = ''
for c in str1:
s.push(c)
while not s.isEmpty():
revStr += s.pop()
return revStr
if __name__ == '__main__':
str1 = 'Buffy is a Slayer!'
print(str1)
print(reverse_string_with_stack(str1))

View File

@ -0,0 +1,56 @@
#!/usr/bin/env python
__author__ = "bt3"
""" define a class for a set of stacks """
from stack import Stack
class SetOfStacks(Stack):
def __init__(self, capacity=4):
self.setofstacks = []
self.items = []
self.capacity = capacity
def push(self, value):
if self.size() >= self.capacity:
self.setofstacks.append(self.items)
self.items = []
self.items.append(value)
def pop(self):
value = self.items.pop()
if self.isEmpty() and self.setofstacks:
self.items = self.setofstacks.pop()
return value
def sizeStack(self):
return len(self.setofstacks)*self.capacity + self.size()
def __repr__(self):
aux = []
for s in self.setofstacks:
aux.extend(s)
aux.extend(self.items)
return '{}'.format(aux)
if __name__ == '__main__':
capacity = 5
stack = SetOfStacks(capacity)
print("Is the stack empty? ", stack.isEmpty())
print("Adding 0 to 10 in the stack...")
for i in range(10):
stack.push(i)
print(stack)
print("Stack size: ", stack.sizeStack())
print("Stack peek : ", stack.peek())
print("Pop...", stack.pop())
print("Stack peek: ", stack.peek())
print("Is the stack empty? ", stack.isEmpty())
print(stack)

View File

@ -0,0 +1,65 @@
#!/usr/bin/env python
# copy of the class ../Stack.py
__author__ = "bt3"
class Stack(object):
def __init__(self):
self.content = []
self.min_array = []
self.min = float('inf')
def push(self, value):
if value < self.min:
self.min = value
self.content.append(value)
self.min_array.append(self.min)
def pop(self):
if self.content:
value = self.content.pop()
self.min_array.pop()
if self.min_array:
self.min = self.min_array[-1]
return value
else:
return 'Empty List. '
def find_min(self):
if self.min_array:
return self.min_array[-1]
else:
return 'No min value for empty list.'
def size(self):
return len(self.content)
def isEmpty(self):
return not bool(self.content)
def peek(self):
if self.content:
return self.content[-1]
else:
print('Stack is empty.')
def __repr__(self):
return '{}'.format(self.content)
if __name__ == '__main__':
q = Stack()
for i in range(15,20):
q.push(i)
for i in range(10,5,-1):
q.push(i)
for i in range(1, 13):
print q.pop(), q.find_min()

View File

@ -0,0 +1,77 @@
#!/usr/bin/env python
__author__ = "bt3"
''' A stack with a minimum lookup '''
from stack import Stack
class NodeWithMin(object):
def __init__(self, value=None, minimum=None):
self.value = value
self.minimum = minimum
class StackMin(Stack):
def __init__(self):
self.items = []
self.minimum = None
def push(self, value):
if self.isEmpty() or self.minimum > value:
self.minimum = value
self.items.append(NodeWithMin(value, self.minimum))
def peek(self):
return self.items[-1].value
def peekMinimum(self):
return self.items[-1].minimum
def pop(self):
item = self.items.pop()
if item:
if item.value == self.minimum:
self.minimum = self.peekMinimum()
return item.value
else:
print("Stack is empty.")
def __repr__(self):
aux = []
for i in self.items:
aux.append(i.value)
return '{}'.format(aux)
if __name__ == '__main__':
stack = StackMin()
print("Is the stack empty? ", stack.isEmpty())
print("Adding 0 to 10 in the stack...")
for i in range(10,3, -1):
stack.push(i)
print(stack)
print("Stack size: ", stack.size())
print("Stack peek and peekMinimum : ", stack.peek(), stack.peekMinimum())
print("Pop...", stack.pop())
print("Stack peek and peekMinimum : ", stack.peek(), stack.peekMinimum())
print("Is the stack empty? ", stack.isEmpty())
print(stack)
for i in range(5, 1, -1):
stack.push(i)
print(stack)
print("Stack size: ", stack.size())
print("Stack peek and peekMinimum : ", stack.peek(), stack.peekMinimum())
print("Pop...", stack.pop())
print("Stack peek and peekMinimum : ", stack.peek(), stack.peekMinimum())
print("Is the stack empty? ", stack.isEmpty())
print(stack)

View File

@ -0,0 +1,41 @@
#!/usr/bin/env python
__author__ = "bt3"
""" Implement the 'towers of hanoi'"""
from linked_stack import Stack, Node
def moveTop(s1, s3):
s3.append(s1.pop())
def moveDisks(n, s1, s3, s2):
if n < 1: return
moveDisks(n - 1, s1, s2, s3)
moveTop(s1, s3)
moveDisks(n -1, s2, s3, s1)
def towersOfHanoi(n):
s1 = [x+1 for x in range(n)]
s2 = []
s3 = []
print('The first stick is {0} and the third stick has {1}'.format(s1, s3))
moveDisks(n, s1, s3, s2)
print('The first stick is {0} and the third stick has {1}'.format(s1, s3))
return s3
if __name__ == '__main__':
towersOfHanoi(6)

View File

@ -0,0 +1,28 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Example of how to use a bit array in python as a "counter" dict'''
def print_dupl_ba(l1):
'''
>>> l1 = [0, 1, 2, 3, 4, 2, 6, 7, 8, 9]
>>> print_dupl_ba(l1)
2
'''
bs = bytearray(10)
for i in range(len(l1)):
if i == l1[i]:
bs[i] = 1
for index, bit in enumerate(bs):
if bit == 0:
return l1[index]
return None
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,33 @@
BIT-WISE
----------------------
1. To find a number:
11000101 is 2^0+2^2+2^6+2^7 = 197
2. Left shifting:
0010 1011 << 4 ---> 1011 000
3. Right shifting:
0010 1011 >> 4 ---> 0000 0010
or it can be filled with the copy of the first bit, instead of 0:
1011 0010 >> 4 ---> 1111 1011
4. XOR can cancels out:
15 ^ 12 ^ 15 = 12
5. 2^x:
left-shift 1 by x:
0000 0001 << x
so if x = 2, 2^2 = 4 -> 100
0000 0001 << 2 ---> 0000 0100
6. Is power of 2?
just do x&(x-1).
if 0 --> yes!

View File

@ -0,0 +1,37 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Clear a bit in a binary number.
Like the reverse of set bit:
1) first create a number filled of 1s,
with 0 at i (can create 0001000 and ~)
2) AND the number so it clears the ith bit
'''
def clear_bit(num, i):
mask = ~ (1 << i) # -0b10001
return bin(num & mask)
def clear_all_bits_from_i_to_0(num, i):
mask = ~ ( (1 << (i+1)) - 1)
return bin(num & mask)
def clear_all_bits_from_most_sig_to_1(num, i):
mask = ( 1 << i) -1
return bin(num & mask)
if __name__ == '__main__':
num = int('10010000', 2)
print clear_bit(num, 4) # '0b10000000'
num = int('10010011', 2)
print clear_all_bits_from_i_to_0(num, 2) # '0b10010000'
num = int('1110011', 2)
print clear_all_bits_from_most_sig_to_1(num, 2) #'0b11'

View File

@ -0,0 +1,25 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Find how many bits a int has:
1) Start with a mask of 1
2) Mask with AND
3) if result (if true): count += 1
(obs: to find the int of a bin do int('1001', 2)) and to show in bin
do bin(int))
'''
def find_bit_len(int_num):
lenght = 0
while int_num:
int_num >>= 1
lenght += 1
return lenght
if __name__ == '__main__':
for i in range(17):
print(find_bit_len(i))
print i.bit_length()

View File

@ -0,0 +1,32 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Find how many 1s in the binary:
1) Start with a mask of 1
2) Mask with AND
3) if result (if true): count += 1
(obs: to find the int of a bin do int('1001',
2)) and to show in bin do bin(int))
'''
def find_how_many_1_in_a_binary(n):
'''
>>> find_how_many_1_in_a_binary(9)
2
'''
counter = 0
while n:
if n & 1:
counter += 1
n >>= 1
return counter
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,27 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Get a bit in a binary number:
1) Shifts 1 over by i bits
2) make an AND with the number
3) all the other than the bit at i are clean, now compare to 0
4) if the new value is not 0, bit i is 1
'''
def get_bit(num, i):
mask = 1 << i
return num & mask != 0
if __name__ == '__main__':
num = int('0100100', 2)
get_bit(num, 0) # 0
get_bit(num, 1) # 0
get_bit(num, 2) # 1
get_bit(num, 3) # 0
get_bit(num, 4) # 0
get_bit(num, 5) # 1
get_bit(num, 6) # 0

View File

@ -0,0 +1,37 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Given a real number between 0 and 1 (eg: 0.72), this method print the binary
representation. If the Number cannot be represented accurately in binary, with at
most 32 chars, print error:
'''
def get_float_rep(num):
'''
>>> get_float_rep(0.72)
('Error 2', '.1011100001010001111010111000010')
>>> get_float_rep(0.1)
('Error 2', '.0001100110011001100110011001100')
>>> get_float_rep(0.5)
'.1'
'''
if num >= 1 or num <= 0: return 'Error 1'
result = '.'
while num:
if len(result) >= 32: return 'Error 2', result
r = num*2
if r >= 1:
result += '1'
num = r - 1
else:
result += '0'
num = r
return result
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,36 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Given two 32-bit numbers, N and M, and two bit positions, i and j, this
method insert M into N such that M starts at bit j and ends at bit i:
1) clear the bits j thru i in N'
2) shift M so that it lines up with bits j thru i
3) merge M and N
'''
def insert_small_bin_into_big_bin(M, N, i, j):
'''
>>> N = 0b10000000000
>>> M = 0b10011
>>> j = 6
>>> i = 2
>>> insert_small_bin_into_big_bin(M, N, i, j)
'0b10001001100'
'''
allOnes = ~0
left = allOnes << (j+1) # 1110000
right = ( (1 << i) - 1) # 0000111
mask = left | right # 1110111
N_cleared = N & mask
M_shifted = M << i
return bin( N_cleared | M_shifted)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,59 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Give a positive int, print the next smallest and next largest ints with
same number of 1 bits.
The brute force is:
1) find number of 1 bits
2) loop above and down until find same, checking for each
'''
def print_prev_same_1s(num):
n1s = find_num_1s(num)
# find prev
i = num-1
while True:
n1s_here = find_num_1s(i)
if n1s_here == n1s:
return bin(i)
i -= 1
if i < 0:
return None
def print_next_same_1s(num):
n1s = find_num_1s(num)
# find next
i = num+1
while True:
n1s_here = find_num_1s(i)
if n1s_here == n1s:
return bin(i)
i += 1
if i < 0:
return None
def find_num_1s(num):
counter = 0
while num:
if num & 1:
counter += 1
num >>= 1
return counter
if __name__ == '__main__':
num = 0b1001
n = '0b1010'
p = '0b110'
print_prev_same_1s(num) == p
print_next_same_1s(num) == n

View File

@ -0,0 +1,40 @@
#!/usr/bin/env python
__author__ = "bt3"
''' This method returns the number of bits that are necessary to change to convert two
numbers A and B:
1) XOR
2) count 1s
'''
def count_bits_swap2(a, b):
count = 0
m = a^b
while m:
count +=1
m = m & (m-1)
return count
def count_bits_swap(a, b):
m = a^b
return count_1s(m)
def count_1s(m):
count = 0
while m:
if m& 1 :
count +=1
m >>= 1
return count
if __name__ == '__main__':
a = int('10010000', 2)
b = int('01011010', 2)
print count_bits_swap(a, b) #4
print count_bits_swap2(a, b) #4

View File

@ -0,0 +1,26 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Set a bit in a binary number:
1) Shifts 1 over by i bits
2) make an OR with the number, only the value at bit i will change and all the others bit
of the mask are zero so will not affect the num
'''
def set_bit(num, i):
mask = 1 << i
return bin( num | mask )
if __name__ == '__main__':
num = int('0100100', 2)
print set_bit(num, 0) #'0b100101'
print set_bit(num, 1) #'0b100110'
print set_bit(num, 2) # nothing change '0b100100'
print set_bit(num, 3) #'0b101100'
print set_bit(num, 4) #'0b110100'
print set_bit(num, 5) # nothing change '0b100100'

View File

@ -0,0 +1,23 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
swapping values in place without extra memory
'''
def swap_bit(a, b):
'''
>>> swap_bit(14, 73)
(73, 14)
'''
a = a^b
b = a^b
a = a^b
return a, b
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,37 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Swap odd and even bits in a smart way in a binary:
1) first for odds, take n and move the odd:
(a) Mask all odd bits with 10101010 (0xAA)
(b) shift by right by 1
2) do the same to ints with 01010101
3) merge
'''
def swap_odd_even(num):
'''
>>> num = 0b11011101
>>> result = '0b1101110'
>>> swap_odd_even(num) == result
True
'''
mask_odd = 0xAA # 0b10101010
mask_even = 0x55 # 0b1010101
odd = num & mask_odd
odd >>= 1
even = num & mask_even
even >>= 1
return bin(odd | even)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,22 @@
#!/usr/bin/env python
__author__ = "bt3"
''' This method merges set bit and clean bit:
1) first clear the bit at i using a mask such as 1110111
2) then shift the intended value v by i bits
3) this will create a number with bit i to v and all other to 0
4) finally update the ith bit with or
'''
def update_bit(num, i, v):
mask = ~ (1 << i)
return bin( (num & mask) | (v << i) )
if __name__ == '__main__':
num = int('10010000', 2)
print update_bit(num, 2, 1) # '0b10010100'

View File

@ -0,0 +1,51 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import Counter
def is_anagram(s1, s2):
'''
>>> is_anagram('cat', 'tac')
True
>>> is_anagram('cat', 'hat')
False
'''
counter = Counter()
for c in s1:
counter[c] += 1
for c in s2:
counter[c] -= 1
for i in counter.values():
if i:
return False
return True
''' verify if words are anagrams by comparing a sum of Unicode code
point of the character'''
def get_unicode_sum(word):
s = 0
for p in word:
s += ord(p)
return s
def is_anagram2(word1, word2):
'''
>>> is_anagram2('cat', 'tac')
True
>>> is_anagram2('cat', 'hat')
False
'''
return get_unicode_sum(word1) == get_unicode_sum(word2)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,9 @@
__author__ = "bt3"
This is the classic "you have 8 balls/coins, which are the same weight, except for one which is slightly heavier than the others. You also have an old-style balance. What is the fewest number of weighings to find the heavy coin/ball?
Answer: 2! You need to use every information available:
Weight 3 x 3 balls/coins.
If they weight the same: weight the 2 balls/coins left outside.
Else, measure 2 of the 3 heavier balls/coins.

View File

@ -0,0 +1,40 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
Given a N different open and close braces in a string "( { [ } ] )".
How do you check whether the string has matching braces.
'''
from collections import Counter
def check_if_balance(string):
'''
>>> check_if_balance('{[[(])}]')
True
>>> check_if_balance('{[[()}]')
False
>>> check_if_balance('')
True
'''
table = Counter()
for i in string:
index = str(ord(i))[0]
if i in '{[(':
table[index] += 1
elif i in ')}]':
table[index] -= 1
for i in table.values():
if i !=-0:
return False
return True
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,71 @@
#!/usr/bin/env python
__author__ = "bt3"
"""
Given an integer x and an unsorted array of integers, describe an
algorithm to determine whether two of the numbers add up to x.
1. Using hash tables.
2. Sorting the array and keeping two pointers in the array, one in
the beginning and one in the end. Whenever the sum of the current
two integers is less than x, move the first pointer forwards, and
whenever the sum is greater than x, move the second pointer
backwards. O(nln n).
3. Create a BST with x minus each element in the array.
Check whether any element of the array appears in the BST.
It takes O(nlog n) times two.
"""
from collections import defaultdict, Counter
def check_sum(array, k):
'''
>>> check_sum([3, 2, 6, 7, 9, 1], 8)
[(6, 2), (1, 7)]
>>> check_sum([5, 2, 6, 7, 9, 1], 4)
[]
>>>
'''
dict = defaultdict()
res = []
for i in array:
if k-i in dict:
res.append((i, k-i))
del dict[k-i]
else:
dict[i] = 1
return res
def check_sum2(array, k):
'''
>>> check_sum2([1, 4, 2, 7, 1, 3, 10, 15, 3, 1], 6)
set([(3, 3)])
>>> check_sum2([1, 4, 2, 7, 1, 3, 10, 15, 3, 1], 0)
set([])
'''
dict = Counter()
res = set()
for i in array:
dict[i] += 1
for i in array:
if dict[k-i] > 0:
if i == k-i and dict[k-i] > 1:
res.add((i, k-i))
dict[k-i] -= 2
elif i == k-i:
res.add((i, k-i))
dict[k-i] -= 1
return res
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,36 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Determine if an Array of integers contains 3 numbers that sum to 0 '''
from collections import defaultdict
def find_3_number(array):
'''
>>> find_3_number([1,5,56,11,-3,-12])
1 11 -12
True
>>> find_3_number([] )
False
'''
hash_ = defaultdict()
for i in array:
hash_[i] = 1
for i, x in enumerate(array):
for y in array[i+1:]:
if -(x+y) in hash_:
print x, y, -(x+y)
return True
return False
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,35 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
given an array of intervals, return max number of non-overlapping intervals
'''
from collections import defaultdict
def non_overlapping(array):
'''
>>> non_overlapping([(1,2), (2,5), (1, 6)])
[[(1, 2), (2, 5)]]
>>> non_overlapping([(1,4), (2,5), (3, 6)])
[]
'''
total = []
for i, t in enumerate(array):
start = t[0]
end = t[1]
for tt in array[i+1:] :
if end <= tt[0]:
total.append([(start, end), (tt[0], tt[1])])
return total
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,64 @@
#!/usr/bin/env python
__author__ = "bt3"
''' convert an integer to a string in any base'''
def convert_from_dec_to_any_base(number, base):
'''
>>> number, base = 9, 2
>>> convert_from_dec_to_any_base(number, base)
'1001'
'''
convertString = '012345679ABCDEF'
if number < base:
return convertString[number]
else:
return convert_from_dec_to_any_base(number//base, base) + \
convertString[number%base]
def convert_from_decimal_to_binary(number, base):
'''
>>> number, base = 9, 2
>>> convert_from_decimal_to_binary(number, base)
1001
'''
multiplier, result = 1, 0
while number > 0:
result += number%base*multiplier
multiplier *= 10
number = number//base
return result
def convert_from_decimal_larger_bases(number, base):
'''
>>> number, base = 31, 16
>>> convert_from_decimal_larger_bases(number, base)
'1F'
'''
strings = "0123456789ABCDEFGHIJ"
result = ""
while number > 0:
digit = number%base
result = strings[digit] + result
number = number//base
return result
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,83 @@
#!/usr/bin/env python
__author__ = "bt3"
def conv_int2str(int1):
'''
>>> conv_str2int('367')
367
>>> conv_str2int('0')
0
>>> conv_str2int('-10')
-10
>>> conv_str2int('1e5')
100000
'''
aux_dict = {key:value for key in range(10) for value in '0123456789'[key]}
if int1 == 0:
return '0'
elif int1 < 0:
sign = '-'
int1 = int1*(-1)
else:
sign = ''
aux_ls = []
while int1 > 0:
c = int1%10
int1 = int1//10
cadd = aux_dict[c]
aux_ls.append(cadd)
aux_ls.reverse()
return sign + ''.join(aux_ls)
def conv_str2int(str1):
'''
>>> conv_int2str(0)
'0'
>>> conv_int2str(1e5)
'100000'
>>> conv_int2str(367)
'367'
>>> conv_int2str(-10)
'-10'
'''
if not str1:
return None
aux_dict = {key:value for value in range(10) for key in '0123456789'[value]}
if str1[0] == '-':
sign = -1
str1 = str1[1:]
else:
sign = 1
dec, result = 1, 0
for i in range(len(str1)-1, -1, -1):
aux = str1[i]
if aux == 'e':
exp_num = conv_str2int(str1[i+1:])
number = conv_str2int(str1[:i])
result = number*10**exp_num
break
result += aux_dict[aux]*dec
dec *= 10
return result*sign
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,26 @@
#!/usr/bin/env python
__author__ = "bt3"
import collections
import string
import sys
def count_unique_word():
words = collections.defaultdict(int)
strip = string.whitespace + string.punctuation + string.digits + "\"'"
for filename in sys.argv[1:]:
with open(filename) as file:
for line in file:
for word in line.lower().split():
word = word.strip(strip)
if len(word) > 2:
words[word] = +1
for word in sorted(words):
print("'{0}' occurs {1} times.".format(word, words[word]))

View File

@ -0,0 +1,49 @@
#!/usr/bin/env python
__author__ = "bt3"
''' find and delete all the duplicate characters in a string '''
from collections import Counter
def delete_unique(str1):
'''
>>> delete_unique("Trust no one")
'on'
>>> delete_unique("Mulder?")
''
'''
str_strip = ''.join(str1.split())
repeat = Counter()
for c in str_strip:
repeat[c] += 1
result = ''
for c, count in repeat.items():
if count > 1:
result += c
return result
def removing_duplicates_seq(str1):
'''
>>> delete_unique("Trust no one")
'on'
>>> delete_unique("Mulder?")
''
'''
seq = str1.split()
result = set()
for item in seq:
if item not in result:
#yield item
result.add(item)
return result
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,60 @@
#!/usr/bin/env python
__author__ = "bt3"
def fib_generator():
a, b = 0, 1
while True:
yield b
a, b = b, a+b
def fib(n):
'''
>>> fib(2)
1
>>> fib(5)
5
>>> fib(7)
13
'''
if n < 3:
return 1
a, b = 0, 1
count = 1
while count < n:
count += 1
a, b = b, a+b
return b
def fib_rec(n):
'''
>>> fib_rec(2)
1
>>> fib_rec(5)
5
>>> fib_rec(7)
13
'''
if n < 3:
return 1
return fib_rec(n - 1) + fib_rec(n - 2)
if __name__ == '__main__':
import doctest
doctest.testmod()
fib = fib_generator()
print(next(fib))
print(next(fib))
print(next(fib))
print(next(fib))

View File

@ -0,0 +1,35 @@
#!/usr/bin/env python
__author__ = "bt3"
def find_0_MxN(m):
''' find 0s in a matrix and replace the col and row to 0s:
>>> m1 = [[1,2,3,4], [5,6,7,8], [9,10,11,12], [13,14,15,16]]
>>> find_0_MxN(m1)
[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]]
>>> m2 = [[1, 2, 3, 4], [0, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]]
>>> find_0_MxN(m2)
[[0, 2, 3, 4], [0, 0, 0, 0], [0, 10, 11, 12], [0, 14, 15, 16]]
'''
index = []
for row in range(len(m)):
for col in range(len(m[0])):
if m[row][col] == 0:
index.append((row, col))
for i in index:
row = i[0]
col = i[1]
for i in range(len(m)):
m[row][i] = 0
for i in range(len(m[0])):
m[i][col] = 0
return m
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,32 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
given 2 dice, determine number of ways to sum S if all dice are rolled
'''
from collections import Counter, defaultdict
def find_dice_probabilities(S=5, n_faces=6):
if S > 2*n_faces or S < 2:
return None
cdict = Counter()
ddict = defaultdict(list)
for dice1 in range(1, n_faces+1):
for dice2 in range(1, n_faces+1):
t = [dice1, dice2]
cdict[dice1+dice2] += 1
ddict[dice1+dice2].append( t)
return [cdict[S], ddict[S]]
if __name__ == '__main__':
results = find_dice_probabilities()
assert(results[0] == len(results[1]))

View File

@ -0,0 +1,43 @@
#!/usr/bin/env python
__author__ = "bt3"
''' computes the edit distance between two strings '''
def find_edit_distance(str1, str2):
'''
>>> s = 'sunday'
>>> t = 'saturday'
>>> find_edit_distance(s, t)
3
'''
m = len(str1)
n = len(str2)
diff = lambda c1, c2: 0 if c1 == c2 else 1
E = [[0] * (n + 1) for i in range(m + 1)]
for i in range(m + 1):
E[i][0] = i
for j in range(1, n + 1):
E[0][j] = j
for i in range(1, m + 1):
for j in range(1, n + 1):
E[i][j] = min(E[i-1][j] + 1, E[i][j-1] + 1, E[i-1][j-1] + diff(str1[i-1], str2[j-1]))
return E[m][n]
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,29 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import Counter
def find_non_rep_char(s1):
'''
>>> s1 = 'aabbcceff'
>>> find_non_rep_char(s1)
e
>>> find_non_rep_char('ccc')
'''
aux_dict = Counter()
for i in s1:
aux_dict[i] += 1
for k, v in aux_dict.items():
if v < 2:
print k
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,29 @@
#!/usr/bin/env python
__author__ = "bt3"
def finding_gcd(a, b):
''' implements the greatest common divider algorithm '''
while(b != 0):
result = b
a, b = b, a % b
return result
def test_finding_gcd():
number1 = 21
number2 = 12
assert(finding_gcd(number1, number2) == 3)
print('Tests passed!')
if __name__ == '__main__':
test_finding_gcd()

View File

@ -0,0 +1,36 @@
#!/usr/bin/env python
__author__ = "bt3"
def find_substr(s1, s2):
if len(s1) < len(s2):
bs = s2
ss = s1
else:
bs = s1
ss = s2
ps = 0
for c in bs:
if ss[ps] == c:
ps += 1
else:
ps = 0
if ps == len(ss)-1:
return True
return False
if __name__ == '__main__':
s1 = 'buffy is a vampire slayer'
s2 = 'vampire'
s3 = 'angel'
assert(find_substr(s2, s1) == True)
assert(find_substr(s3, s1) == False)

View File

@ -0,0 +1,32 @@
#!/usr/bin/env python
__author__ = "bt3"
import collections
def find_if_unique_chars(word):
"""
>>> find_if_unique_chars('abcde')
True
>>> find_if_unique_chars('abcae')
False
"""
unique = True
counter = collections.Counter()
for c in word:
if not counter[c]:
counter[c] += 1
else:
unique = False
return unique
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,42 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
You are given an array of integers (both positive and negative).
Find the contiguous sequence with the largest sum.
'''
def find_largest_sum(array):
'''
>>> find_largest_sum([-1, 2, -3, 5, 3, 1, -16, 7, 1, -13, 1])
9
>>> find_largest_sum([])
0
>>> find_largest_sum([1])
1
'''
sum_ = 0
sum_here = 0
for i in array:
sum_here += i
if sum_here < 0:
sum_here = 0
if sum_ < sum_here:
sum_ = sum_here
return sum_
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,34 @@
#!/usr/bin/env python
__author__ = "bt3"
''' find the longest continuous increasing subsequence'''
def find_long_con_inc(seq):
'''
>>> find_long_con_inc([1, -2, 3, 5, 1, -1, 4, -1, 6])
[-2, 3, 5]
>>> find_long_con_inc([1, 3, -2, 3, 5, 6])
[-2, 3, 5, 6]
>>> find_long_con_inc([1, 3, 4, -13, 2, 5, 8, -1, 2,-17])
[-13, 2, 5, 8]
'''
res, aux = [], []
seq.append(-float('infinity'))
for i, n in enumerate(seq[:-1]):
aux.append(n)
if n > seq[i+1]:
if len(res) < len(aux):
res = aux[:]
aux = []
return res
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,38 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
given a string, find longest string with unique characters
'''
def find_longest(string):
'''
>>> find_longest('abfgrhgtrdsandwejfhdasjcbdsjvrejwghireeej')
'wejfhdas'
>>> find_longest('abcabcabcabcdefabcccc')
'defabc'
'''
maxs = ''
result = ''
for c in string:
if c in result:
if len(maxs) < len(result):
maxs = result
result = ''
else:
result += c
if result and len(maxs) < len(result):
maxs = result
return maxs
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,33 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import defaultdict
def find_unique_number(array):
'''
>>> find_unique_number([1, 3, 6, 1, 5, 6, 9, 3, 7])
[1, 6, 3]
>>> find_unique_number([1, 3, 5, 6, 9, 7])
[]
'''
table = defaultdict()
total = []
for i in array:
if i in table:
total.append(i)
else:
table[i] = 1
return total
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,42 @@
#!/usr/bin/env python
__author__ = "bt3"
'''Given an array of numbers, replace each number with the product of all
the numbers in the array except the number itself *without* using division
'''
def find_product_without_division(seq):
'''
>>> seq = [2,3,4]
>>> find_product_without_division(seq)
[12, 8, 6]
'''
forw = []
bacw = []
for i in range(len(seq)):
prod_f, prod_b = 1, 1
for next in range(i+1, len(seq)):
prod_f *= seq[next]
for before in range(0, i):
prod_b *= seq[before]
forw.append(prod_f)
bacw.append(prod_b)
for i in range(len(seq)):
seq[i] = forw[i] * bacw[i]
return seq
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,27 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import Counter
def find_top_N_recurring_words(seq, N):
''' find the top N recurring words in a file:
1) use a hash table to find counts
2) sort the list on base of the maximum counts
3) return the last N words
'''
dcounter = Counter()
for word in seq.split():
dcounter[word] += 1
return dcounter.most_common(N)
if __name__ == '__main__':
seq = 'buffy angel monster xander a willow gg buffy the monster super buffy angel'
N = 3
assert(find_top_N_recurring_words(seq, N) == [('buffy', 3), ('monster', 2), ('angel', 2)])

View File

@ -0,0 +1,56 @@
#!/usr/bin/env python
__author__ = "bt3"
"""
Two numbers out of n numbers from 1 to n are missing.
The remaining n-2 numbers are in the array but not sorted.
Find the missing numbers The sum1 is the sum of all the elements in n.
The sum2 is the sum of all the elements in n-2. sum1 - sum2 = num1 + num2 = s.
The prod1 is the prod of all the elements in n. The prod2 is the prod of all
the elements in n-2. prod1/prod2 = num1*num2 =p.
Runtime is O(n), because it scan 3 times. Space is O(1)
In case of finding one integer, Let the missing number be M. We know that
the sum of first N natural numbers is N*(N+1)/2. Traverse through the array
once and calculate the sum. This is the sum of first N natural numbers -
M or S=N*(N+1)/2 - M. Therefore M = N*(N+1)/2 - S.
"""
import math
def find_two_missing_numbers(l1):
'''
>>> l1 = [1, 3, 5]
>>> find_two_missing_numbers(l1)
(4, 2)
'''
n_min_2 = len(l1)
n = n_min_2 + 2
sum1, sum2, prod1, prod2 = 0, 0, 1, 1
sum2 = sum(l1[:])
sum1 = sum(range(1,n+1))
s = sum1 - sum2
for i in range(1, n-1):
prod1 = prod1*i
prod2 = prod2*l1[i-1]
prod1 = prod1*n*(n-1)
p = prod1/prod2
num1 = (s + math.sqrt(s*s - 4*p))/2
num2 = (s - math.sqrt(s*s - 4*p))/2
return int(num1), int(num2)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,29 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Given a real number between 0 and 1 (eg: 0.72), this method print the
binary representation. If the Number cannot be represented accurately
in binary, with at exit most 32 chars, print error:
'''
def get_float_rep(num):
if num >= 1 or num <= 0: return 'Error 1'
result = '.'
while num:
if len(result) >= 32: return 'Error 2', result
r = num*2
if r >= 1:
result += '1'
num = r - 1
else:
result += '0'
num = r
return result
if __name__ == '__main__':
print get_float_rep(0.72) #('Error 2', '.1011100001010001111010111000010')
print get_float_rep(0.1) # ('Error 2', '.0001100110011001100110011001100')
print get_float_rep(0.5) #'.1'

View File

@ -0,0 +1,63 @@
#!/usr/bin/env python
__author__ = "bt3"
def intersection_two_arrays_sets(seq1, seq2):
'''
>>> intersection_two_arrays_sets([1,2,3,5,7,8], [3,5,6])
set([3, 5])
>>> intersection_two_arrays_sets([1,2,7,8], [3,5,6])
set([])
'''
# O(n)
set1 = set(seq1)
set2 = set(seq2)
return set1.intersection(set2) #same as list(set1 & set2)
def intersection_two_arrays_On2(seq1, seq2):
'''
>>> intersection_two_arrays_On2([1,2,3,5,7,8], [3,5,6])
[3, 5]
>>> intersection_two_arrays_On2([1,2,7,8], [3,5,6])
[]
'''
final = []
for i in seq1:
for j in seq2:
if i == j:
final.append(i)
return final
def intersection_two_arrays_On(seq1, seq2):
'''
>>> intersection_two_arrays_On([1,2,3,5,7,8], [3,5,6])
[5, 3]
>>> intersection_two_arrays_On([1,2,7,8], [3,5,6])
[]
'''
final = []
while seq1 and seq2:
if seq1[-1] == seq2[-1]:
final.append(seq1.pop())
seq2.pop()
elif seq1[-1] > seq2[-1]:
seq1.pop()
else:
seq2.pop()
return final
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,54 @@
#!/usr/bin/env python
__author__ = "bt3"
def beating_stock(array):
imin = 0
# first deal is just buying in the next day (1)
deal = [array[1] - array[imin], imin, 1]
for i, d in enumerate(array):
deal_here = d - array[imin]
if deal_here > deal[0]:
deal = [deal_here, imin, i]
elif d < array[imin]:
imin = i
return deal[0], array[deal[1]], array[deal[2]]
def beating_stock2(array):
deal = 0
min_value = array[0]
for i, d in enumerate(array):
deal_here = d - min_value
if deal_here > deal:
deal = deal_here
else:
if min_value > array[i]:
min_value = array[i]
return deal
if __name__ == '__main__':
array = [7, 2, 3, 6, 5, 8, 5, 3, 4]
deal = beating_stock(array)
print("Profit: %d, buying at %d, selling at %d." %(deal[0], deal[1], deal[2]))
deal = beating_stock2(array)
print "Profit: " + str(deal)

View File

@ -0,0 +1,15 @@
#!/usr/bin/env python
__author__ = "bt3"
How to know how many 0 are in 100!
You look for the primes that multiply to 10, i.e. 2 and 5.
There are more 5 than 2s so you can count the fives.
there is 100/5 = 20, so 20 5s. However, there are two 5s in 25, 50, 75 and 100.
result: 20+4 = 24

View File

@ -0,0 +1,33 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import defaultdict
def is_palindrome(array):
'''
>>> is_palindrome('subi no onibus')
True
>>> is_palindrome('helllo there')
False
>>> is_palindrome('h')
True
>>> is_palindrome('')
True
'''
array = array.strip(' ')
if len(array) < 2:
return True
if array[0] == array[-1]:
return is_palindrome(array[1:-1])
else:
return False
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,70 @@
#!/usr/bin/env python
__author__ = "bt3"
def perm(str1):
'''
>>> perm('123')
['123', '132', '231', '213', '312', '321']
'''
if len(str1) < 2:
return str1
res = []
for i, c in enumerate(str1):
for cc in perm(str1[i+1:] + str1[:i]):
res.append(c + cc)
return res
def perm2(str1):
'''
>>> perm2('123')
['123', '132', '213', '231', '312', '321']
'''
from itertools import permutations
return [''.join(p) for p in permutations(str1)]
def ispermutation(s1, s2):
'''
>>> ispermutation('231', '123')
True
>>> ispermutation('231', '153')
False
'''
from collections import Counter
aux = Counter()
for i in s1:
aux[i] += 1
for i in s2:
aux[i] -= 1
for v in aux.values():
if v != 0:
return False
return True
def ispermutation2(s1, s2):
'''
>>> ispermutation2('231', '123')
True
>>> ispermutation2('231', '153')
False
'''
if sorted(s1) == sorted(s2):
return True
else:
return False
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,37 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Write code to generate all possible case permutations of a given
lower-cased string
'''
def alpha_permutation(string):
'''
>>> alpha_permutation('0ab')
['0Ab', '0Ab', '0ab', '0ab', '0Ba', '0Ba', '0ba', '0ba', 'ab0', 'a0b', 'a0b', 'b0a', 'b0a', 'ba0']
>>> alpha_permutation('')
''
'''
if len(string) < 2:
return string
result = []
for i, c in enumerate(string):
rest = string[i+1:] + string[:i]
for cc in alpha_permutation(rest):
if cc.isalpha():
result.append(c.upper() + cc)
result.append(c + cc)
return result
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,47 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
find prime factors of a number.
'''
import math
import random
def find_prime_factors(n):
'''
>>> find_prime_factors(14)
[2, 7]
>>> find_prime_factors(19)
[]
'''
divisors = [d for d in range(2, n//2 + 1) if n % d == 0]
primes = [d for d in divisors if is_prime(d)]
return primes
def is_prime(n):
for j in range(2, int(math.sqrt(n))):
if (n % j) == 0:
return False
return True
''' return a n-bit prime '''
def generate_prime(number=3):
while 1:
p = random.randint(pow(2, number-2), pow(2, number-1)-1)
p = 2 * p + 1
if find_prime_factors(p):
return p
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,28 @@
#!/usr/bin/env python
__author__ = "bt3"
def get_products_of_all_except_at_index(array):
'''
>>> a = [1, 7, 3, 4]
>>> get_products_of_all_except_at_index(a)
[84, 12, 28, 21]
'''
total = 1
for n in array:
total *= n
new_array = []
for n in array:
if n is not 0:
item = total/n
new_array.append(item)
else:
new_array.append(n)
return new_array
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,34 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import Counter
def check_if_ransom_note(magazines, note):
count = Counter()
pm, pn = 0, 0
while pn < len(note) and pm < len(magazines):
char_note = note[pn]
if count[char_note]>0:
count[char_note] -= 1
pn += 1
else:
char_magazine = magazines[pm]
count[char_magazine] += 1
pm +=1
return pn == len(note)
if __name__ == '__main__':
magazines1 = "avfegthhgrebvkdsvnijnvyijfdmckdsmovkmmfvskumvl;cdkmioswckofjbkreenyukjemjgnmkmvkmnvdkmvkr g gmvdvmldm vldfkmbldkmlvdkm"
magazines2 = "adfsfa"
note = "you should disobey"
print(check_if_ransom_note(magazines1, note))
print(check_if_ransom_note(magazines2, note))

View File

@ -0,0 +1,37 @@
#!/usr/bin/env python
__author__ = "bt3"
def revert(string):
'''
>>> s = 'hello'
>>> revert(s)
'olleh'
>>> revert('')
''
'''
return string[::-1]
def reverse_string_inplace(s):
'''
>>> s = 'hello'
>>> reverse_string_inplace(s)
'olleh'
>>> reverse_string_inplace('')
''
'''
if s:
s = s[-1] + reverse_string_inplace(s[:-1])
return s
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,45 @@
#!/usr/bin/env python
__author__ = "bt3"
def reversing_words(word):
"""
>>> reversing_words('buffy is awesome')
'awesome is buffy'
"""
new_word = []
words = word.split(' ')
for word in words[::-1]:
new_word.append(word)
return " ".join(new_word)
def reversing_words2(s):
"""
>>> reversing_words2('buffy is awesome')
'awesome is buffy'
"""
words = s.split()
return ' '.join(reversed(words))
def reversing_words3(s):
"""
>>> reversing_words('buffy is awesome')
'awesome is buffy'
"""
words = s.split(' ')
words.reverse()
return ' '.join(words)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,30 @@
#!/usr/bin/env python
__author__ = "bt3"
def rotate_NxN(m):
n = len(m)
for layer in range(n//2):
first = layer
last = n - 1 - layer
for i in range(first, last):
offset = i - first
top = m[first][i]
m[first][i] = m[last-offset][first]
m[last-offset][first] = m[last][last-offset]
m[last][last-offset] = m[i][last]
m[i][last] = top
return m
def main():
m = [[1,2],[3,4]]
mr = [[3,1],[4,2]]
assert(rotate_NxN(m) == mr)
m2 = [[1,2,3],[4,5,6],[7,8,9]]
print(rotate_NxN(m2))
if __name__ == '__main__':
main()

View File

@ -0,0 +1,61 @@
#!/usr/bin/env python
__author__ = "bt3"
'''To use timeit you create a Timer object whose parameters are two Python
statements. The first parameter is a Python statement that you want to time;
the second parameter is a statement that will run once to set up the test.
The timeit module will then time how long it takes to execute the statement
some number of times. By default timeit will try to run the statement one
million times. When its done it returns the time as a floating point value
representing the total number of seconds. However, since it executes the
statement a million times you can read the result as the number of
microseconds to execute the test one time. You can also pass timeit a
named parameter called number that allows you to specify how many times the
test statement is executed. The following session shows how long it takes to
run each of our test functions 1000 times. '''
import timeit
import random
for i in range(10000,1000001,20000):
''' this experiment confirm that the contains operator for lists is O(n) and for dict is O(1) '''
t = timeit.Timer("random.randrange(%d) in x"%i, "from __main__ import random,x")
x = list(range(i))
lst_time = t.timeit(number=1000)
x = {j:None for j in range(i)}
d_time = t.timeit(number=1000)
print("%d,%10.3f,%10.3f" % (i, lst_time, d_time))
""" There results are:
10000, 0.192, 0.002
30000, 0.600, 0.002
50000, 1.000, 0.002
70000, 1.348, 0.002
90000, 1.755, 0.002
110000, 2.194, 0.002
130000, 2.635, 0.002
150000, 2.951, 0.002
170000, 3.405, 0.002
190000, 3.743, 0.002
210000, 4.142, 0.002
230000, 4.577, 0.002
250000, 4.797, 0.002
270000, 5.371, 0.002
290000, 5.690, 0.002
310000, 5.977, 0.002
so we can see the linear tile for lists, and constant for dict!
Big-O Efficiency of Python Dictionary Operations
Operation Big-O Efficiency
copy O(n)
get item O(1)
set item O(1)
delete item O(1)
contains (in) O(1)
iteration O(n)
"""

View File

@ -0,0 +1,66 @@
#!/usr/bin/env python
__author__ = "bt3"
'''To use timeit you create a Timer object whose parameters are two Python statements. The first parameter is a Python statement that you want to time; the second parameter is a statement that will run once to set up the test. The timeit module will then time how long it takes to execute the statement some number of times. By default timeit will try to run the statement one million times. When its done it returns the time as a floating point value representing the total number of seconds. However, since it executes the statement a million times you can read the result as the number of microseconds to execute the test one time. You can also pass timeit a named parameter called number that allows you to specify how many times the test statement is executed. The following session shows how long it takes to run each of our test functions 1000 times. '''
def test1():
l = []
for i in range(1000):
l = l + [i]
def test2():
l = []
for i in range(1000):
l.append(i)
def test3():
l = [i for i in range(1000)]
def test4():
l = list(range(1000))
if __name__ == '__main__':
import timeit
t1 = timeit.Timer("test1()", "from __main__ import test1")
print("concat ",t1.timeit(number=1000), "milliseconds")
t2 = timeit.Timer("test2()", "from __main__ import test2")
print("append ",t2.timeit(number=1000), "milliseconds")
t3 = timeit.Timer("test3()", "from __main__ import test3")
print("comprehension ",t3.timeit(number=1000), "milliseconds")
t4 = timeit.Timer("test4()", "from __main__ import test4")
print("list range ",t4.timeit(number=1000), "milliseconds")
""" The results are:
('concat ', 2.366791009902954, 'milliseconds')
('append ', 0.16743111610412598, 'milliseconds')
('comprehension ', 0.06446194648742676, 'milliseconds')
('list range ', 0.021029949188232422, 'milliseconds')
So we see the following pattern for lists:
Operation Big-O Efficiency
index [] O(1)
index assignment O(1)
append O(1)
pop() O(1)
pop(i) O(n)
insert(i,item) O(n)
del operator O(n)
iteration O(n)
contains (in) O(n)
get slice [x:y] O(k)
del slice O(n)
set slice O(n+k)
reverse O(n)
concatenate O(k)
sort O(n log n)
multiply O(nk)
"""

View File

@ -0,0 +1,42 @@
#!/usr/bin/env python
__author__ = "bt3"
''' Search an Entry in a Matrix where the Rows and columns are Sorted
In this 2D matrix, every row is increasingly sorted from left to right,
and every column is increasingly sorted from top to bottom.
The runtime is O(m+n).
'''
def find_elem_matrix_bool(m1, value):
found = False
row = 0
col = len(m1[0]) - 1
while row < len(m1) and col >= 0:
if m1[row][col] == value:
found = True
break
elif m1[row][col] > value:
col-=1
else:
row+=1
return found
def test_find_elem_matrix_bool(module_name='this module'):
m1 = [[1,2,8,9], [2,4,9,12], [4,7,10,13], [6,8,11,15]]
assert(find_elem_matrix_bool(m1,8) == True)
assert(find_elem_matrix_bool(m1,3) == False)
m2 = [[0]]
assert(find_elem_matrix_bool(m2,0) == True)
if __name__ == '__main__':
test_find_elem_matrix_bool()

View File

@ -0,0 +1,34 @@
#!/usr/bin/env python
__author__ = "bt3"
from collections import Counter
def str_comp(s):
'''
>>> s1 = 'aabcccccaaa'
>>> str_comp(s1)
'a2b1c5a3'
>>> str_comp('')
''
'''
count, last = 1, ''
list_aux = []
for i, c in enumerate(s):
if last == c:
count += 1
else:
if i != 0:
list_aux.append(str(count))
list_aux.append(c)
count = 1
last = c
list_aux.append(str(count))
return ''.join(list_aux)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,41 @@
#!/usr/bin/env python
__author__ = "bt3"
'''
find the sum of two integers represented as strings,
return the sum as string, i.e "123" and "456" would return "579"
'''
def get_number(s):
count = 1
num = 0
p = len(s) -1
while p >= 0:
num = num + int(s[p])*count
count *= 10
p -= 1
return num
def sum_string(s1, s2):
'''
>>> sum_string('10', '5')
'15'
>>> sum_string('0', '1')
'1'
>>> sum_string('123', '456')
'579'
'''
n1 = get_number(s1)
n2 = get_number(s2)
return str(n2 + n1)
if __name__ == '__main__':
import doctest
doctest.testmod()

View File

@ -0,0 +1,42 @@
#!/usr/bin/python3
__author__ = "bt3"
from functools import wraps
from do_benchmark import benchmark
def memo(func):
''' an example of dynamic programming using a memoizing decorator '''
cache = {}
@wraps(func)
def wrap(*args):
if args not in cache:
cache[args] = func(*args)
return cache[args]
return wrap
@memo
def find_fibonacci_seq_rec(n):
''' implements the nth fibonacci value in a recursive exponential runtime '''
if n < 2: return n
return find_fibonacci_seq_rec(n - 1) + find_fibonacci_seq_rec(n - 2)
def test_memo():
n = 50
# find_fibonacci_seq_rec = memo(find_fibonacci_seq_rec)
# @benchmark
print(find_fibonacci_seq_rec(n))
if __name__ == '__main__':
test_memo()

View File

@ -0,0 +1,85 @@
#!/usr/bin/python3
__author__ = "bt3"
from itertools import combinations
from bisect import bisect
from memo import memo
from do_benchmark import benchmark
def naive_longest_inc_subseq(seq):
''' naive (exponential) solution to the longest increasing subsequence problem '''
for length in range(len(seq), 0, -1):
for sub in combinations(seq, length):
if list(sub) == sorted(sub):
return len(sub)
def longest_inc_subseq1(seq):
''' an iterative algorithm for the longest increasing subsequence problem '''
end = []
for val in seq:
idx = bisect(end, val)
if idx == len(end): end.append(val)
else: end[idx] = val
return len(end)
def longest_inc_subseq2(seq):
''' another iterative algorithm for the longest increasing subsequence problem '''
L = [1] * len(seq)
for cur, val in enumerate(seq):
for pre in range(cur):
if seq[pre] <= val:
L[cur] = max(L[cur], 1 + L[pre])
return max(L)
def memoized_longest_inc_subseq(seq):
''' a memoized recursive solution to find the longest increasing subsequence problem '''
@memo
def L(cur):
res = 1
for pre in range(cur):
if seq[pre] <= seq[cur]:
res = max(res, 1 + L(pre))
return res
return max(L(i) for i in range(len(seq)))
@benchmark
def test_naive_longest_inc_subseq():
print(naive_longest_inc_subseq(s1))
benchmark
def test_longest_inc_subseq1():
print(longest_inc_subseq1(s1))
@benchmark
def test_longest_inc_subseq2():
print(longest_inc_subseq2(s1))
@benchmark
def test_memoized_longest_inc_subseq():
print(memoized_longest_inc_subseq(s1))
if __name__ == '__main__':
from random import randrange
s1 = [randrange(100) for i in range(25)]
print(s1)
test_naive_longest_inc_subseq()
test_longest_inc_subseq1()
test_longest_inc_subseq2()
test_memoized_longest_inc_subseq()

View File

@ -0,0 +1,30 @@
#!/usr/bin/env python
__author__ = "bt3"
import os
import sys
import shutil
def change_file_ext():
""" read a file and an extension from the command line and produces a copy with its extension changed"""
if len(sys.argv) < 2:
print("Usage: change_ext.py filename.old_ext 'new_ext'")
sys.exit()
name = os.path.splitext(sys.argv[1])[0] + "." + sys.argv[2]
print (name)
try:
shutil.copyfile(sys.argv[1], name)
except OSError as err:
print (err)
if __name__ == '__main__':
change_file_ext()

View File

@ -0,0 +1,28 @@
#!/usr/bin/python
__author__ = "bt3"
import collections
import string
import sys
def count_unique_word_file():
if len(sys.argv) < 2:
print "Usage: python count_unique_word.py NAMEFILE"
words = collections.defaultdict(int)
strip = string.whitespace + string.punctuation + string.digits + "\"'"
for filename in sys.argv[1:]:
with open(filename) as file:
for line in file:
for word in line.lower().split():
word = word.strip(strip)
if len(word) > 2:
words[word] = +1
for word in sorted(words):
print("'{0}' occurs {1} times.".format(word, words[word]))
if __name__ == '__main__':
count_unique_word_file()

View File

@ -0,0 +1,15 @@
#!/usr/bin/python
__author__ = "bt3"
import collections
import sys
def count_unique_word_freq():
return collections.Counter(\
sys.stdin.read().lower().split()).most_common(n)
if __name__ == '__main__':
count_unique_word_freq()

View File

@ -0,0 +1,27 @@
#!/usr/bin/env python
__author__ = "bt3"
import sys
def grep_word_from_files():
''' using iterator enumerate to create a grep command '''
word = sys.argv[1]
for filename in sys.argv[2:]:
with open(filename) as file:
for lino, line in enumerate(file, start=1):
if word in line:
print("{0}:{1}:{2:.40}".format(filename, lino, line.rstrip()))
if __name__ == '__main__':
if len(sys.argv) < 2:
print("Usage: grep_word_from_files.py word infile1 [infile2...]")
sys.exit()
else:
grep_word_from_files()

View File

@ -0,0 +1,54 @@
#!/usr/bin/env python
__author__ = "bt3"
import os
import sys
def read_data(filename):
lines = []
fh = None
try:
fh = open(filename)
for line in fh:
if line.strip():
lines.append(line)
except (IOError, OSError) as err:
print(err)
finally:
if fh is not None:
fh.close()
return lines
def write_data(lines, filename):
fh = None
try:
fh = open(filename, "w")
for line in lines:
fh.write(line)
except (EnvironmentError) as err:
print(err)
finally:
if fh is not None:
fh.close()
def remove_blank_lines():
""" read a list of filenames on the command line and for each one produces another file with the same content but with no blank lines """
if len(sys.argv) < 2:
print ("Usage: noblank.py infile1 [infile2...]")
for filename in sys.argv[1:]:
lines = read_data(filename)
if lines:
write_data(lines, filename)
if __name__ == '__main__':
remove_blank_lines()

Some files were not shown because too many files have changed in this diff Show More