commit c6a3c96242f422cc27c5677a6b04d3faea509cc8 Author: Rushil Umaretiya Date: Tue Dec 15 03:02:42 2020 -0500 initial commit diff --git a/Unit 0/Umaretiya_r_cb1.py b/Unit 0/Umaretiya_r_cb1.py new file mode 100644 index 0000000..7023482 --- /dev/null +++ b/Unit 0/Umaretiya_r_cb1.py @@ -0,0 +1,104 @@ +# Rushil Umaretiya +# Sept 8, 2020 + +# Here is my comment!!!! Hello!! + +# Warmup-1 +def sleep_in(weekday, vacation): + return not weekday or vacation + +def monkey_trouble(a_smile, b_smile): + return a_smile == b_smile + +def sum_double(a, b): + return (a+b)*2 if a == b else a+b + +def diff21(n): + return abs(21-n)*2 if n > 21 else abs(21-n) + +def parrot_trouble(talking, hour): + return talking and (hour < 7 or hour > 20) + +def makes10(a, b): + return True if a == 10 or b == 10 else a + b == 10 + +def near_hundred(n): + return abs(100-n) <= 10 or abs(200-n) <= 10 + +def pos_neg(a, b, negative): + return a < 0 and b < 0 if negative else (a < 0 and b > 0) or (a > 0 and b < 0) + +# String-1 +def hello_name(name): + return "Hello " + name + "!" + +def make_abba(a, b): + return a+b*2+a + +def make_tags(tag, word): + return "<"+tag+">"+word+"" + +def make_out_word(out, word): + return out[:len(out)//2]+word+out[len(out)//2:] + +def extra_end(str): + return str[-2:]+str[-2:]+str[-2:] + +def first_two(str): + return str if len(str)<2 else str[:2] + +def first_half(str): + return str[:len(str)//2] + +def without_end(str): + return str[1:-1] + +# List-1 +def first_last6(nums): + return str(nums[0]) == '6' or str(nums[len(nums)-1]) == '6' + +def same_first_last(nums): + return False if len(nums) < 1 else nums[0] == nums[len(nums)-1] + +def make_pi(n): + return [3,1,4,1,5,9,2,6,5,3,5,8,9,7][:n] + +def common_end(a, b): + return a[len(a)-1] == b[len(b)-1] or a[0] == b[0] + +def sum3(nums): + return sum(nums) + +def rotate_left3(nums): + return nums[1:]+nums[:1] + +def reverse3(nums): + return [i for i in reversed(nums)] + +def max_end3(nums): + return [max(nums[0],nums[len(nums)-1])]*len(nums) + +# Logic-1 +def cigar_party(cigars, is_weekend): + return not (cigars < 40 or (not is_weekend and cigars > 60)) + +def date_fashion(you, date): + return 0 if you <= 2 or date <= 2 else 2 if you >= 8 or date >= 8 else 1 + +def squirrel_play(temp, is_summer): + return temp >= 60 and ((is_summer and temp <= 100) or (not is_summer and temp <= 90)) + +def caught_speeding(speed, is_birthday): + return 0 if speed <= 60 or (is_birthday and speed <= 65) else 1 if speed <= 80 or (is_birthday and speed <= 85) else 2 + +def sorta_sum(a, b): + return 20 if a+b in range(10,20) else a+b + +def alarm_clock(day, vacation): + return "7:00" if day in range(1,6) and not vacation else "10:00" if not vacation or day in range(1,6) else "off" + +def love6(a, b): + return a == 6 or b == 6 or a+b == 6 or abs(a-b) == 6 + +def in1to10(n, outside_mode): + return n in range (1,11) if not outside_mode else n <= 1 or n >= 10 diff --git a/Unit 0/Umaretiya_r_exer.py b/Unit 0/Umaretiya_r_exer.py new file mode 100644 index 0000000..c7c5621 --- /dev/null +++ b/Unit 0/Umaretiya_r_exer.py @@ -0,0 +1,209 @@ +# Name: Rushil Umaretiya +# Date: 09/10/2020 +# Do not forget to change the file name -> Save as + +from PIL import Image +from collections import Counter +from itertools import permutations + +''' Tasks ''' +# 1. Given an input of a space-separated list of any length of integers, output the sum of them. +# 2. Output the list of those integers (from #1) that are divisible by three. +list = input("list of numbers: ") +print (f"1. sum = {sum([int(x) for x in list.strip().split()])}") +print (f"2. list of multiples of 3: {[int(x) for x in list.strip().split() if int(x) % 3 == 0]}") + +# 3. Given an integer input, print the first n Fibonacci numbers. eg. n=6: 1, 1, 2, 3, 5, 8 + +n = int(input ("Type n for Fibonacci sequence: ")) + +def fib(n): + if n <= 0: + return None + elif n <= 2: + return 1 + else: + return fib(n-1) + fib(n-2) +list = [] +for i in range(1,n+1): list.append(fib(i)) +print (f"3. fibonacci: ", end='') +print (*list) + + +# 4. Given an input, output a string composed of every other character. eg. Aardvark -> Arvr + +print ('4. every other str: ', ((lambda str: ''.join([str[x*2] for x in range(len(str)//2)]))(input("Type a string: ")))) + +# 5. Given a positive integer input, check whether the number is prime or not. + +n = int(input("Type a number to check prime: ")) +isPrime = False +if n != 1: + for i in range (2, n): + if n % i == 0: + break + else: + isPrime = True + +print (f'5. Is prime? {isPrime}') + +# 6. Calculate the area of a triangle given three side lengths. eg. 13 14 15 -> 84 +list = [] +for x in input("Type three sides of a triangle: ").strip().split(): + list.append(int(x)) +p = sum(list)/2 +print("6. The area of", *list, "is", (p*(p-list[0])*(p-list[1])*(p-list[2]))**(1/2)) + +# 7. Given a input of a string, remove all punctuation from the string. +# eg. "Don't quote me," she said. -> Dontquotemeshesaid) +str = input("Type a sentence: ") +nopunct = ''.join([i for i in str if i not in '!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ ']) +print (f'7. Punct removed: {nopunct}') + +# 8. Check whether the input string (from #7, lower cased, with punctuation removed) is a palindrome. +palindrome = nopunct.lower() == nopunct[::-1].lower() +print (f'8. Is palindrome? {palindrome}') + +# 9. Count the number of each vowel in the input string (from #7). + +vowels = { + 'a':len([i for i in nopunct if i in 'a']), + 'e':len([i for i in nopunct if i in 'e']), + 'i':len([i for i in nopunct if i in 'i']), + 'o':len([i for i in nopunct if i in 'o']), + 'u':len([i for i in nopunct if i in 'u']) +} + +print (f'9. Count each vowel: {vowels}') +# 10. Given two integers as input, print the value of f\left(k\right)=k^2-3k+2 for each integer between the two inputs. +# eg. 2 5 -> 0, 2, 6, 12 +ints = input ("Type two integers (lower bound and upper bound): ") +list = ints.strip().split() +ans = [] +for i in range(int(list[0]),int(list[1]) + 1): + ans.append(int(i)**2-(3*int(i))+2) +print (f'10. Evaluate f(k)=k^2 - 3k + 2 from {list[0]} to {list[1]}:', *ans) + +# 11. Given an input of a string, determines a character with the most number of occurrences. +str = input ("Type a string: ") +freq = {} +for char in str.lower(): + if char in freq: + freq[char] += 1 + else: + freq[char] = 1 +max_freq = max(freq.values()) +max_letters = [] +for char in freq.keys(): + if freq[char] == max_freq: + max_letters.append(char) + +print ('11. Most occurred char:', *max_letters) + +# 12. With the input string from #11, output a list of all the words that start and end in a vowel. + +vowels = [] +for word in str.strip().split(): + if len(word) > 0 and word[0] in 'aeiou' and word[len(word)-1] in 'aeiou': + vowels.append(word) + +print (f'12. List of words starting and ending with vowels: {vowels}') + +# 13. With the input string from #11, capitalizes the starting letter of every word of the string and print it. +words = [word.capitalize() for word in str.strip().split()] +print ('13. Capitalize starting letter of every word:', *words) + +# 14. With the input string from #11, prints out the string with each word in the string reversed. +words = [word[::-1] for word in str.strip().split()] +print ('14. Reverse every word:', *words) + +# 15. With the input string from #11, treats the first word of the input as a search string to be found in the rest +# of the string, treats the second word as a replacement for the first, and treats the rest of the input as the string to be searched. +# eg. b Ba baby boy -> BaaBay Baoy +words = str.strip().split() +search = words[0] +replace = words[1] +for i in range(2, len(words)): + words[i] = words[i].replace(search, replace) +print ('15. Find the first and replace with the second:', *words[2:]) + +# 16. With an input of a string, removes all duplicate characters from a string. Eg. detection -> detcion +str = input('Type a string to remove all duplicate chars: ') +letters = [] +out = '' +for char in str: + if char not in letters: + letters.append(char) + out += char +print (f'16. Remove all duplicate chars: {out}') + +# 17. Given an input of a string, determines whether the string contains only digits. +str = input('Type a string to check if it has only digits or not: ') +print (f'17. Is a number?: {str.isnumeric()}') + +# 18. If #17 prints True, determines whether the string contains only 0 and 1 characters, and if so assumes it is a binary string, +# converts it to a number, and prints out the decimal value. +out = "No" + +if str.isnumeric(): + if len([i for i in str if i in '23456789']) == 0: + out = int(str, 2) +print (f'18. It is a binary number: {out}') + +# 19. Write a script that accepts two strings as input and determines whether the two strings are anagrams of each other. +first = input("Type the first string to check anagram: ").strip().replace(' ', '') +second = input("Type the second string to check anagram: ").strip().replace(' ', '') + +print(f'19. Are {first} and {second} anagrams?:', len(first) == len(second) and sorted(first) == sorted(second)) + +# 20. Given an input filename, if the file exists and is an image, find the dimensions of the image. +url = input("Type the image file name: ").strip() +try: + img = Image.open(url) + print (f"20. Image dimension: {img.width} by {img.height}") +except: + print ("20. Image dimension: Image file does not exist or file is not an image") + +# 21. Given an input of a string, find the longest palindrome within the string. +str = input ("Type a string to find the longest palindrome: ") +str = ''.join([i for i in str if i not in '!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ ']) +longest = '' +for i in range(len(str)): + for j in range(len(str)): + if str[j:i+j] == str[j:i+j][::-1] and len(str[j:i+j]) > len(longest): + longest = str[j:i+j] +print (f'21. Longest palindrome within the string: {longest}') + +# 22. Given an input of a string, find all the permutations of a string. +str = input ("Type a string to do permutation: ") + +def permute(str): + if len(str) <= 1: + return str + + perm_list = [] + for substr in permute(str[1:]): # Generate all of the permutations of the string excluding the first letter + for pos in range(len(substr)+1): # Generate all of the positions that first letter can go + perm_list.append(substr[:pos] + str[0] + substr[pos:]) # Put it in all of those positions + return perm_list + +perms = permute(str) +print (f'22. all permutations {perms}') + +# 23. Given the input string from #22, find all the unique permutations of a string. +print (f'23. all unique permutations {set(perms)}') + +# 24. Given an input of a string, find a longest non-decreasing subsequence within the string (according to ascii value). +str = input('Type a string to find the longest non-decreasing sub: ').strip().replace(' ', '') +longest = '' +for i in range(len(str)): + temp = str[i] + for j in range(i+1, len(str)): + if temp[-1] <= str[j]: + temp += str[j] + else: + break + + if len(temp) > len(longest): + longest = temp +print (f'24. longest non-decreasing sub: {longest}') \ No newline at end of file diff --git a/Unit 0/graph.txt b/Unit 0/graph.txt new file mode 100644 index 0000000..fa3e812 --- /dev/null +++ b/Unit 0/graph.txt @@ -0,0 +1,4 @@ +A C +B A +C C +C A \ No newline at end of file diff --git a/Unit 0/testing.py b/Unit 0/testing.py new file mode 100644 index 0000000..d18d585 --- /dev/null +++ b/Unit 0/testing.py @@ -0,0 +1,17 @@ +str = input ("Type a string to do permutation: ") + +def permute(str): + if len(str) <= 1: + return str + + perm_list = [] + for substr in permute(str[1:]): # Generate all of the permutations of the string excluding the first letter + for pos in range(len(substr)+1): # Generate all of the positions that first letter can go + perm_list.append(substr[:pos] + str[0] + substr[pos:]) # Put it in all of those positions + return perm_list + +perms = permute(str) +print (f'22. all permutations {perms}') + +# 23. Given the input string from #22, find all the unique permutations of a string. +print (f'23. all unique permutations {set(perms)}') \ No newline at end of file diff --git a/Unit 0/version.png b/Unit 0/version.png new file mode 100644 index 0000000..81558cf Binary files /dev/null and b/Unit 0/version.png differ diff --git a/Unit 1/AI9-24Notes09242020.pdf b/Unit 1/AI9-24Notes09242020.pdf new file mode 100644 index 0000000..95be427 Binary files /dev/null and b/Unit 1/AI9-24Notes09242020.pdf differ diff --git a/Unit 1/AI_heapnotes09292020.pdf b/Unit 1/AI_heapnotes09292020.pdf new file mode 100644 index 0000000..1a0f8e1 Binary files /dev/null and b/Unit 1/AI_heapnotes09292020.pdf differ diff --git a/Unit 1/Umaretiya_r_U1_L1.py b/Unit 1/Umaretiya_r_U1_L1.py new file mode 100644 index 0000000..9ae8f72 --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L1.py @@ -0,0 +1,145 @@ +import random + +def getInitialState(): + x = "_12345678" + l = list(x) + random.shuffle(l) + y = ''.join(l) + return y + +'''precondition: i= 0 and empty + 3 < len(state): + children.append(swap(state, empty, empty+3)) + children.append(swap(state, empty, empty-3)) + else: + children.append(swap(state, empty, empty+1)) + children.append(swap(state, empty, empty-1)) + + else: # Corner Case + if empty < 4: + children.append(swap(state, empty, empty+3)) + if empty < 1: + children.append(swap(state, empty, empty+1)) + else: + children.append(swap(state, empty, empty-1)) + else: + children.append(swap(state, empty, empty-3)) + if empty > 7: + children.append(swap(state, empty, empty-1)) + else: + children.append(swap(state, empty, empty+1)) + + return children + +def display_path(n, explored): #key: current, value: parent + l = [] + while explored[n] != "s": #"s" is initial's parent + l.append((n, direction(n, explored[n]))) + n = explored[n] + print () + l = l[::-1] + for d in l: + print (d[1], end = " ") + print() + + for i in l: + print (i[0][0:3], end = " ") + print () + for j in l: + print (j[0][3:6], end = " ") + print() + for k in l: + print (k[0][6:9], end = " ") + print ("\n\nThe shortest path length is :", len(l)) + return "" + +def direction(parent, state): + parent = parent.find("_") + state = state.find("_") + directions = { + 3: "D", + 1: "R", + -1: "L", + -3: "U" + } + + return directions[parent-state] + + +'''Find the shortest path to the goal state "_12345678" and + returns the path by calling display_path() function to print all steps. + You can make other helper methods, but you must use dictionary for explored.''' +def BFS(initial_state): + Q = [initial_state] + explored = {} + + explored[initial_state] = 's' # Put init state in queue + + while Q: + state = Q.pop(0) # Pop off current state + + if goal_test(state): # Check if we hit the goal + return display_path(state, explored) # Show the path + + for neighbor in generate_children(state): # Add all the children to the queue + if neighbor not in explored: + Q.append(neighbor) + explored[neighbor] = state # And make sure the children are explored + + return ("No solution") + +def goal_test (state): + return state == "_12345678" + +'''Find the shortest path to the goal state "_12345678" and + returns the path by calling display_path() function to print all steps. + You can make other helper methods, but you must use dictionary for explored.''' +def DFS(initial): # Same exact code as BFS except pop() instead of pop(0) + Q = [initial] + explored = {} + + explored[initial] = 's' + + while Q: + state = Q.pop() + + if goal_test(state): + return display_path(state, explored) + + for neighbor in generate_children(state): + if neighbor not in explored: + Q.append(neighbor) + explored[neighbor] = state + + return ("No solution") + + +def main(): + initial = getInitialState() + print ("BFS start with:\n", initial[0:3], "\n", initial[3:6], "\n", initial[6:], "\n") + print (BFS(initial)) + print ("DFS start with:\n", initial[0:3], "\n", initial[3:6], "\n", initial[6:], "\n") + print (DFS(initial)) + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/Unit 1/Umaretiya_r_U1_L2.py b/Unit 1/Umaretiya_r_U1_L2.py new file mode 100644 index 0000000..cc9a46e --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L2.py @@ -0,0 +1,85 @@ +# Name: Rushil Umaretiya +# Date: 9/29/2020 + +import random + +# print all items in one line with a tab or 3 to 4 spaces. +def display(array): + [print(i, end=" ") for i in array if i != 0] + print() + +# sort the array by using heapsort algorithm. +# use swap and heapDown +def sort(array): + sortHelper(array, 1, len(array)-1) + +def sortHelper (array, start, end): + if end < 1: + return + + swap(array, start, end) + heapDown(array, start, end-1) + sortHelper(array, start, end-1) + +# swap two items at position a and b in array +# array is a list, a and b are integers +def swap(array, a, b): + array[a], array[b] = array[b], array[a] + +# heap down from k to size +def heapDown(array, k, size): + left, right = 2*k, 2*k+1 + + + if left == size and array[k] < array[size]: # One child + swap(array, k, left) + + elif right <= size: + child = (left if array[left] >= array[right] else right) + + if array[k] < array[child]: + swap(array, k, child) + heapDown(array, child, size) + + +# check all items in array. +# Returns True if all items are in ascending order. +def isSorted(array): + if len(array) <= 1: + return True + + return array[1:] == sorted(array[1:]) + +# use round(random.unifrom(from, to), 2) to assign new values in each cell +def createRandom(array): + for i in range(len(array)-1): + array[i+1] = round(random.uniform(1,100), 2) + +# Make the given array as a max heap. Use heapDown. +def makeHeap(array, size): + for k in range(size//2, 0, -1): + heapDown(array, k, size) + + +def main(): + array = [0.0]*101 + createRandom(array) + display(array) + makeHeap(array, len(array)-1) + display(array) + sort(array) + display(array) + print(isSorted(array)) + + +if __name__ == '__main__': + main() + +''' Sample output + +15.36 38.17 58.13 59.72 84.46 6.77 72.38 92.32 48.53 46.59 12.68 15.6 36.55 55.51 68.78 91.3 96.35 53.01 62.4 4.12 53.27 36.61 87.25 98.7 58.46 7.19 36.51 31.73 61.75 43.94 76.1 7.55 46.47 14.9 75.97 4.39 96.78 32.97 3.86 55.28 40.99 76.06 33.9 17.0 82.2 30.35 49.85 54.93 78.24 19.22 98.36 20.73 55.19 17.98 61.77 3.77 17.16 29.2 64.7 49.35 13.44 97.75 21.87 55.29 77.09 70.75 31.78 90.42 86.74 26.31 92.45 7.44 97.05 42.43 22.97 92.51 39.43 38.58 15.27 57.41 78.49 55.65 89.27 84.8 75.52 65.33 58.08 3.86 32.1 90.31 91.24 32.41 65.28 19.51 84.68 69.37 5.51 68.73 12.86 21.51 +98.7 97.05 98.36 96.78 91.24 78.24 97.75 96.35 92.51 89.27 90.31 69.37 61.77 64.7 76.1 91.3 92.45 59.72 62.4 78.49 84.8 84.46 87.25 68.73 58.46 55.19 36.55 31.73 61.75 49.35 72.38 77.09 70.75 90.42 92.32 53.01 48.53 39.43 38.58 57.41 55.65 76.06 65.33 32.1 82.2 65.28 84.68 58.13 15.6 21.51 6.77 20.73 7.19 17.98 36.51 3.77 17.16 29.2 55.51 43.94 13.44 68.78 21.87 55.29 7.55 46.47 31.78 14.9 86.74 26.31 75.97 7.44 4.39 42.43 22.97 32.97 38.17 3.86 15.27 46.59 55.28 4.12 40.99 53.27 75.52 33.9 58.08 3.86 17.0 36.61 12.68 32.41 30.35 19.51 49.85 54.93 5.51 15.36 12.86 19.22 +3.77 3.86 3.86 4.12 4.39 5.51 6.77 7.19 7.44 7.55 12.68 12.86 13.44 14.9 15.27 15.36 15.6 17.0 17.16 17.98 19.22 19.51 20.73 21.51 21.87 22.97 26.31 29.2 30.35 31.73 31.78 32.1 32.41 32.97 33.9 36.51 36.55 36.61 38.17 38.58 39.43 40.99 42.43 43.94 46.47 46.59 48.53 49.35 49.85 53.01 53.27 54.93 55.19 55.28 55.29 55.51 55.65 57.41 58.08 58.13 58.46 59.72 61.75 61.77 62.4 64.7 65.28 65.33 68.73 68.78 69.37 70.75 72.38 75.52 75.97 76.06 76.1 77.09 78.24 78.49 82.2 84.46 84.68 84.8 86.74 87.25 89.27 90.31 90.42 91.24 91.3 92.32 92.45 92.51 96.35 96.78 97.05 97.75 98.36 98.7 +True + +''' \ No newline at end of file diff --git a/Unit 1/Umaretiya_r_U1_L3.py b/Unit 1/Umaretiya_r_U1_L3.py new file mode 100644 index 0000000..a91d9ff --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L3.py @@ -0,0 +1,163 @@ +# Name: Rushil Umaretiya +# Date: 10/01/2020 + +import random + +class HeapPriorityQueue(): + def __init__(self): + self.queue = ["dummy"] # we do not use index 0 for easy index calulation + self.current = 1 # to make this object iterable + + def next(self): # define what __next__ does + if self.current >=len(self.queue): + self.current = 1 # to restart iteration later + raise StopIteration + + out = self.queue[self.current] + self.current += 1 + + return out + + def __iter__(self): + return self + + __next__ = next + + def isEmpty(self): + return len(self.queue) <= 1 # b/c index 0 is dummy + + def swap(self, a, b): + self.queue[a], self.queue[b] = self.queue[b], self.queue[a] + + # Add a value to the heap_pq + def push(self, value): + self.queue.append(value) + # write more code here to keep the min-heap property + self.heapUp(len(self.queue)-1) + + # helper method for push + def heapUp(self, k): + if k <= 1: + return + + if len(self.queue) % 2 == 1 and k == len(self.queue) - 1: # no sibling + if self.queue[k//2] > self.queue[k]: + self.swap(k, k//2) + self.heapUp(k//2) + return + + if k % 2 == 0: + parent, sibling = k//2, k+1 + else: + parent, sibling = k//2, k-1 + + if self.queue[k] > self.queue[sibling]: + child = sibling + else: + child = k + + if self.queue[parent] > self.queue[child]: + self.swap(child, parent) + self.heapUp(parent) + + + # helper method for reheap and pop + def heapDown(self, k, size): + left, right = 2*k, 2*k+1 + + if left == size and self.queue[k] > self.queue[size]: # One child + self.swap(k, left) + + elif right <= size: + child = (left if self.queue[left] < self.queue[right] else right) + + if self.queue[k] > self.queue[child]: + self.swap(k, child) + self.heapDown(child, size) + + # make the queue as a min-heap + def reheap(self): + if self.isEmpty(): + return -1 + + for k in range((len(self.queue)-1)//2, 0, -1): + self.heapUp(k) + + # remove the min value (root of the heap) + # return the removed value + def pop(self): + if self.isEmpty(): + return -1 + self.swap (1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(1, len(self.queue) - 1) + return val + + # remove a value at the given index (assume index 0 is the root) + # return the removed value + def remove(self, index): + + if self.isEmpty(): + return -1 + + if len (self.queue) == 2: + val = self.queue.pop() + self.queue = [] + return val + + self.swap (index + 1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(index + 1, len(self.queue) - 1) + + return val + + + +# This method is for testing. Do not change it. +def isHeap(heap, k): + left, right = 2*k, 2*k+1 + if left == len(heap): return True + elif len(heap) == right and heap[k] > heap[left]: return False + elif right < len(heap): + if (heap[k] > heap[left] or heap[k] > heap[right]): return False + else: return isHeap(heap, left) and isHeap(heap, right) + return True + +# This method is for testing. Do not change it. +def main(): + + pq = HeapPriorityQueue() # create a HeapPriorityQueue object + + print ("Check if dummy 0 is still dummy:", pq.queue[0]) + + # assign random integers into the pq + for i in range(20): + t = random.randint(10, 99) + print (t, end=" ") + pq.push(t) + + print () + + # print the pq which is a min-heap + for x in pq: + print (x, end=" ") + print() + + # remove test + print ("Index 4 is removed:", pq.remove(4)) + + # check if pq is a min-heap + for x in pq: + print (x, end=" ") + print("\nIs a min-heap?", isHeap(pq.queue, 1)) + + temp = [] + while not pq.isEmpty(): + temp.append(pq.pop()) + print (temp[-1], end=" ") + + + print ("\nIn ascending order?", temp == sorted(temp)) + +if __name__ == '__main__': + main() diff --git a/Unit 1/Umaretiya_r_U1_L4.py b/Unit 1/Umaretiya_r_U1_L4.py new file mode 100644 index 0000000..1c384c0 --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L4.py @@ -0,0 +1,303 @@ +# Name: Rushil Umaretiya +# Date: 10/11/2020 +import random, time, math + +class HeapPriorityQueue(): + def __init__(self): + self.queue = ["dummy"] # we do not use index 0 for easy index calulation + self.current = 1 # to make this object iterable + + def next(self): # define what __next__ does + if self.current >=len(self.queue): + self.current = 1 # to restart iteration later + raise StopIteration + + out = self.queue[self.current] + self.current += 1 + + return out + + def __iter__(self): + return self + + __next__ = next + + def isEmpty(self): + return len(self.queue) <= 1 # b/c index 0 is dummy + + def swap(self, a, b): + self.queue[a], self.queue[b] = self.queue[b], self.queue[a] + + # Add a value to the heap_pq + def push(self, value): + self.queue.append(value) + # write more code here to keep the min-heap property + self.heapUp(len(self.queue)-1) + + # helper method for push + def heapUp(self, k): + if k <= 1: + return + + if len(self.queue) % 2 == 1 and k == len(self.queue) - 1: # no sibling + if self.queue[k//2][1] > self.queue[k][1]: + self.swap(k, k//2) + self.heapUp(k//2) + return + + if k % 2 == 0: + parent, sibling = k//2, k+1 + else: + parent, sibling = k//2, k-1 + + if self.queue[k][1] > self.queue[sibling][1]: + child = sibling + else: + child = k + + if self.queue[parent][1] > self.queue[child][1]: + self.swap(child, parent) + self.heapUp(parent) + + + # helper method for reheap and pop + def heapDown(self, k, size): + left, right = 2*k, 2*k+1 + + if left == size and self.queue[k][1] > self.queue[size][1]: # One child + self.swap(k, left) + + elif right <= size: + child = (left if self.queue[left][1] < self.queue[right][1] else right) + + if self.queue[k][1] > self.queue[child][1]: + self.swap(k, child) + self.heapDown(child, size) + + # make the queue as a min-heap + def reheap(self): + if self.isEmpty(): + return -1 + + for k in range((len(self.queue)-1)//2, 0, -1): + self.heapUp(k) + + # remove the min value (root of the heap) + # return the removed value + def pop(self): + if self.isEmpty(): + return -1 + self.swap (1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(1, len(self.queue) - 1) + return val + + # remove a value at the given index (assume index 0 is the root) + # return the removed value + def remove(self, index): + # Your code goes here + if self.isEmpty(): + return -1 + + if len (self.queue) == 2: + val = self.queue.pop() + self.queue = [] + return val + + self.swap (index + 1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(index + 1, len(self.queue) - 1) + + return val + +def inversion_count(new_state, width = 4, N = 4): + ''' + Depends on the size(width, N) of the puzzle, + we can decide if the puzzle is solvable or not by counting inversions. + If N is odd, then puzzle instance is solvable if number of inversions is even in the input state. + If N is even, puzzle instance is solvable if + the blank is on an even row counting from the bottom (second-last, fourth-last, etc.) and number of inversions is even. + the blank is on an odd row counting from the bottom (last, third-last, fifth-last, etc.) and number of inversions is odd. + ''' + # Your code goes here + inversion_count = 0 + for i in range(len(new_state)): + for j in range(i, len(new_state)): + if new_state[i] != '_': + if new_state[i] > new_state[j]: + inversion_count += 1 + + if N % 2 == 0: + blank = new_state.find('_') + if (blank // width) % 2 == 0: + return inversion_count % 2 == 0 + else: + return inversion_count % 2 != 0 + else: + return inversion_count % 2 == 0 + +def check_inversion(): + t1 = inversion_count("_42135678", 3, 3) # N=3 + f1 = inversion_count("21345678_", 3, 3) + t2 = inversion_count("4123C98BDA765_EF", 4) # N is default, N=4 + f2 = inversion_count("4123C98BDA765_FE", 4) + return t1 and t2 and not (f1 or f2) + + +def getInitialState(sample, size): + sample_list = list(sample) + random.shuffle(sample_list) + new_state = ''.join(sample_list) + while not inversion_count(new_state, size, size): + random.shuffle(sample_list) + new_state = ''.join(sample_list) + return new_state + +'''precondition: i -1: + children.append(swap(state, empty, up)) + if down < len(state): + children.append(swap(state, empty, down)) + + return children + +def display_path(path_list, size): + for n in range(size): + for path in path_list: + print (path[n*size:(n+1)*size], end = " "*size) + print () + print ("\nThe shortest path length is :", len(path_list)) + return "" + +''' You can make multiple heuristic functions ''' +def dist_heuristic(state, goal = "_123456789ABCDEF", size=4): + # Your code goes here + md = 0 + for i in range(len(state)): + if state[i] != '_': + md += abs(goal.find(state[i]) % size - i % size) + abs(goal.find(state[i]) // size - i // size) + + return md + +def check_heuristic(): + a = dist_heuristic("152349678_ABCDEF", "_123456789ABCDEF", 4) + b = dist_heuristic("8936C_24A71FDB5E", "_123456789ABCDEF", 4) + return (a < b) + +def a_star(start, goal="_123456789ABCDEF", heuristic=dist_heuristic, size = 4): + frontier = HeapPriorityQueue() + explored = {} + if start == goal: return [] + # We are pushing tuples of the (current_node, path_cost+heuristic, path) + frontier.push((start, heuristic(start, goal, size), [start])) + explored[start] = heuristic(start, goal, size) + while not frontier.isEmpty(): + # Pop off the heapq + state = frontier.pop() + + # Goal Test + if state[0] == goal: + return state[2] + + # Push children onto priority queue + for i in generate_children(state[0], size): + cost = heuristic(i, goal, size) + len(state[2]) + 1 + print(cost) + if i not in explored.keys() or explored[i] > cost: + explored[i] = cost + frontier.push((i, cost, state[2] + [i])) + + return None + +def main(): + # A star + print ("Inversion works?:", check_inversion()) + print ("Heuristic works?:", check_heuristic()) + #initial_state = getInitialState("_123456789ABCDEF", 4) + initial_state = input("Type initial state: ") + if inversion_count(initial_state): + cur_time = time.time() + path = (a_star(initial_state)) + if path != None: display_path(path, 4) + else: print ("No Path Found.") + print ("Duration: ", (time.time() - cur_time)) + else: print ("{} did not pass inversion test.".format(initial_state)) + +if __name__ == '__main__': + main() + + +''' Sample output 1 + +Inversion works?: True +Heuristic works?: True +Type initial state: 152349678_ABCDEF +1523 1523 1_23 _123 +4967 4_67 4567 4567 +8_AB 89AB 89AB 89AB +CDEF CDEF CDEF CDEF + +The shortest path length is : 4 +Duration: 0.0 + + +Sample output 2 + +Inversion works?: True +Heuristic works?: True +Type initial state: 2_63514B897ACDEF +2_63 _263 5263 5263 5263 5263 5263 5263 5263 52_3 5_23 _523 1523 1523 1_23 _123 +514B 514B _14B 1_4B 14_B 147B 147B 147_ 14_7 1467 1467 1467 _467 4_67 4567 4567 +897A 897A 897A 897A 897A 89_A 89A_ 89AB 89AB 89AB 89AB 89AB 89AB 89AB 89AB 89AB +CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF + +The shortest path length is : 16 +Duration: 0.005014657974243164 + + +Sample output 3 + +Inversion works?: True +Heuristic works?: True +Type initial state: 8936C_24A71FDB5E +8936 8936 8936 893_ 89_3 8943 8943 8_43 84_3 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 _423 4_23 4123 4123 4123 4123 _123 +C_24 C2_4 C24_ C246 C246 C2_6 C_26 C926 C926 C9_6 C916 C916 C916 C916 C916 C916 C916 C916 C916 _916 9_16 91_6 916_ 9167 9167 9167 9167 9167 9167 _167 8167 8167 8_67 8567 8567 _567 4567 +A71F A71F A71F A71F A71F A71F A71F A71F A71F A71F A7_F A_7F AB7F AB7F AB7F AB7_ AB_7 A_B7 _AB7 CAB7 CAB7 CAB7 CAB7 CAB_ CA_B C_AB C5AB C5AB _5AB 95AB 95AB 95AB 95AB 9_AB _9AB 89AB 89AB +DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E D_5E D5_E D5E_ D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D_EF _DEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF + +The shortest path length is : 37 +Duration: 0.27825474739074707 + + +Sample output 4 + +Inversion works?: True +Heuristic works?: True +Type initial state: 8293AC4671FEDB5_ +8293 8293 8293 8293 8293 8293 8293 8293 82_3 8_23 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 8423 _423 4_23 4123 4123 4123 4123 _123 +AC46 AC46 AC46 AC46 AC46 _C46 C_46 C4_6 C496 C496 C_96 C9_6 C916 C916 C916 C916 C916 C916 C916 C916 C916 _916 9_16 91_6 916_ 9167 9167 9167 9167 9167 9167 _167 8167 8167 8_67 8567 8567 _567 4567 +71FE 71F_ 71_F 7_1F _71F A71F A71F A71F A71F A71F A71F A71F A7_F A_7F AB7F AB7F AB7F AB7_ AB_7 A_B7 _AB7 CAB7 CAB7 CAB7 CAB7 CAB_ CA_B C_AB C5AB C5AB _5AB 95AB 95AB 95AB 95AB 9_AB _9AB 89AB 89AB +DB5_ DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E DB5E D_5E D5_E D5E_ D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D5EF D_EF _DEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF CDEF + +The shortest path length is : 39 +Duration: 0.7709157466888428 + +''' + diff --git a/Unit 1/Umaretiya_r_U1_L5.py b/Unit 1/Umaretiya_r_U1_L5.py new file mode 100644 index 0000000..3b0cc09 --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L5.py @@ -0,0 +1,141 @@ +# Name: Rushil Umaretiya Date: 10/14/2020 +import time, string + +def generate_adjacents(current, words_set): + ''' words_set is a set which has all words. + By comparing current and words in the words_set, + generate adjacents set of current and return it''' + adj_set = set() + + for i in range(len(current)): + for letter in string.ascii_lowercase: + perm = current[:i]+letter+current[i+1:] + if perm in words_set and perm != current: + adj_set.add(perm) + + return adj_set + +def check_adj(words_set): + # This check method is written for words_6_longer.txt + adj = generate_adjacents('listen', words_set) + target = {'listee', 'listel', 'litten', 'lister', 'listed'} + return (adj == target) + +def bi_bfs(start, goal, words_set): + '''The idea of bi-directional search is to run two simultaneous searches-- + one forward from the initial state and the other backward from the goal-- + hoping that the two searches meet in the middle. + ''' + if start == goal: return [] + + Q = [[start],[goal]] + visited = [{start:"s"},{goal:"s"}] + + flag = 0 + + while Q[0] or Q[1]: + flag = 1 - flag + for i in range(len(Q[flag])): + state = Q[flag].pop(0) + adj_list = generate_adjacents(state, words_set) + + for adj in adj_list: + if adj in visited[1 - flag]: + visited[flag][adj] = state + return build_path(visited, adj, start, goal) + + for neighbor in adj_list: + if neighbor not in visited[flag]: + Q[flag].append(neighbor) + visited[flag][neighbor] = state + + return None + +def build_path (visited, n, start, goal): + start_path, goal_path, intersect = [], [], n + + while n != "s": + goal_path.append(n) + n = visited[1][n] + + n = intersect + + while n != "s": + start_path.append(n) + n = visited[0][n] + + return start_path[::-1] + goal_path[1:] + +''' + Q = [initial_state] + explored = {} + + explored[initial_state] = 's' # Put init state in queue + + while Q: + state = Q.pop(0) # Pop off current state + + if goal_test(state): # Check if we hit the goal + return display_path(state, explored) # Show the path + + for neighbor in generate_children(state): # Add all the children to the queue + if neighbor not in explored: + Q.append(neighbor) + explored[neighbor] = state # And make sure the children are explored +''' + + +def main(): + filename = input("Type the word file: ") + words_set = set() + file = open(filename, "r") + for word in file.readlines(): + words_set.add(word.rstrip('\n')) + #print ("Check generate_adjacents():", check_adj(words_set)) + initial = input("Type the starting word: ") + goal = input("Type the goal word: ") + cur_time = time.time() + path = (bi_bfs(initial, goal, words_set)) + if path != None: + print (path) + print ("The number of steps: ", len(path)) + print ("Duration: ", time.time() - cur_time) + else: + print ("There's no path") + +if __name__ == '__main__': + main() + +''' +Sample output 1 +Type the word file: words.txt +Type the starting word: listen +Type the goal word: beaker +['listen', 'listed', 'fisted', 'fitted', 'fitter', 'bitter', 'better', 'beater', 'beaker'] +The number of steps: 9 +Duration: 0.0 + +Sample output 2 +Type the word file: words_6_longer.txt +Type the starting word: listen +Type the goal word: beaker +['listen', 'lister', 'bister', 'bitter', 'better', 'beater', 'beaker'] +The number of steps: 7 +Duration: 0.000997304916381836 + +Sample output 3 +Type the word file: words_6_longer.txt +Type the starting word: vaguer +Type the goal word: drifts +['vaguer', 'vagues', 'values', 'valves', 'calves', 'cauves', 'cruves', 'cruses', 'crusts', 'crufts', 'crafts', 'drafts', 'drifts'] +The number of steps: 13 +Duration: 0.0408782958984375 + +Sample output 4 +Type the word file: words_6_longer.txt +Type the starting word: klatch +Type the goal word: giggle +['klatch', 'clatch', 'clutch', 'clunch', 'glunch', 'gaunch', 'paunch', 'paunce', 'pawnce', 'pawnee', 'pawned', 'panned', 'panged', 'ranged', 'ragged', 'raggee', 'raggle', 'gaggle', 'giggle'] +The number of steps: 19 +Duration: 0.0867915153503418 +''' \ No newline at end of file diff --git a/Unit 1/Umaretiya_r_U1_L6 part2.py b/Unit 1/Umaretiya_r_U1_L6 part2.py new file mode 100644 index 0000000..3f7f531 --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L6 part2.py @@ -0,0 +1,521 @@ +# Name: Rushil Umaretiya +# Data: 10/22/2020 +import random, pickle, math, time +from math import pi, acos, sin, cos +from tkinter import * + +class HeapPriorityQueue(): + def __init__(self): + self.queue = ["dummy"] # we do not use index 0 for easy index calulation + self.current = 1 # to make this object iterable + + def next(self): # define what __next__ does + if self.current >=len(self.queue): + self.current = 1 # to restart iteration later + raise StopIteration + + out = self.queue[self.current] + self.current += 1 + + return out + + def __iter__(self): + return self + + __next__ = next + + def isEmpty(self): + return len(self.queue) <= 1 # b/c index 0 is dummy + + def swap(self, a, b): + self.queue[a], self.queue[b] = self.queue[b], self.queue[a] + + # Add a value to the heap_pq + def push(self, value): + self.queue.append(value) + # write more code here to keep the min-heap property + self.heapUp(len(self.queue)-1) + + # helper method for push + def heapUp(self, k): + if k <= 1: + return + + if len(self.queue) % 2 == 1 and k == len(self.queue) - 1: # no sibling + if sum(self.queue[k//2][1:3]) > sum(self.queue[k][1:3]): + self.swap(k, k//2) + self.heapUp(k//2) + return + + if k % 2 == 0: + parent, sibling = k//2, k+1 + else: + parent, sibling = k//2, k-1 + + if sum(self.queue[k][1:3]) > sum(self.queue[sibling][1:3]): + child = sibling + else: + child = k + + if sum(self.queue[parent][1:3]) > sum(self.queue[child][1:3]): + self.swap(child, parent) + self.heapUp(parent) + + + # helper method for reheap and pop + def heapDown(self, k, size): + left, right = 2*k, 2*k+1 + + if left == size and sum(self.queue[k][1:3]) > sum(self.queue[size][1:3]): # One child + self.swap(k, left) + + elif right <= size: + child = (left if sum(self.queue[left][1:3]) < sum(self.queue[right][1:3]) else right) + + if sum(self.queue[k][1:3]) > sum(self.queue[child][1:3]): + self.swap(k, child) + self.heapDown(child, size) + + # make the queue as a min-heap + def reheap(self): + if self.isEmpty(): + return -1 + + for k in range((len(self.queue)-1)//2, 0, -1): + self.heapUp(k) + + # remove the min value (root of the heap) + # return the removed value + def pop(self): + if self.isEmpty(): + return -1 + self.swap (1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(1, len(self.queue) - 1) + return val + + # remove a value at the given index (assume index 0 is the root) + # return the removed value + def remove(self, index): + + if self.isEmpty(): + return -1 + + if len (self.queue) == 2: + val = self.queue.pop() + self.queue = [] + return val + + self.swap (index + 1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(index + 1, len(self.queue) - 1) + + return val + +def calc_edge_cost(y1, x1, y2, x2): + # + # y1 = lat1, x1 = long1 + # y2 = lat2, x2 = long2 + # all assumed to be in decimal degrees + + # if (and only if) the input is strings + # use the following conversions + + y1 = float(y1) + x1 = float(x1) + y2 = float(y2) + x2 = float(x2) + # + R = 3958.76 # miles = 6371 km + # + y1 *= pi/180.0 + x1 *= pi/180.0 + y2 *= pi/180.0 + x2 *= pi/180.0 + # + # approximate great circle distance with law of cosines + # + return acos( sin(y1)*sin(y2) + cos(y1)*cos(y2)*cos(x2-x1) ) * R + # + + +# NodeLocations, NodeToCity, CityToNode, Neighbors, EdgeCost +# Node: (lat, long) or (y, x), node: city, city: node, node: neighbors, (n1, n2): cost +def make_graph(nodes = "rrNodes.txt", node_city = "rrNodeCity.txt", edges = "rrEdges.txt"): + nodeLoc, nodeToCity, cityToNode, neighbors, edgeCost = {}, {}, {}, {}, {} + map = {} # have screen coordinate for each node location + + nodes = open(nodes, "r") + node_city = open(node_city, "r") + edges = open(edges, "r") + + for line in node_city.readlines(): + args = line.strip().split(" ", 1) + nodeToCity[args[0]] = args[1] + cityToNode[args[1]] = args[0] + + for line in nodes.readlines(): + args = line.strip().split(" ") + nodeLoc[args[0]] = (float(args[1]), float(args[2])) + + for line in edges.readlines(): + args = line.strip().split(" ") + cost = calc_edge_cost(nodeLoc[args[0]][0], nodeLoc[args[0]][1], nodeLoc[args[1]][0], nodeLoc[args[1]][1]) + edgeCost[(args[0],args[1])] = cost + edgeCost[(args[1],args[0])] = cost + + if args[0] in neighbors: + neighbors[args[0]]+=[args[1]] + else: + neighbors[args[0]] = [args[1]] + + if args[1] in neighbors: + neighbors[args[1]]+=[args[0]] + else: + neighbors[args[1]] = [args[0]] + + + for node in nodeLoc: #checks each + lat = float(nodeLoc[node][0]) #gets latitude + long = float(nodeLoc[node][1]) #gets long + modlat = (lat - 10)/60 #scales to 0-1 + modlong = (long+130)/70 #scales to 0-1 + map[node] = [modlat*800, modlong*1200] #scales to fit 800 1200 + + return [nodeLoc, nodeToCity, cityToNode, neighbors, edgeCost, map] + +# Retuen the direct distance from node1 to node2 +# Use calc_edge_cost function. +def dist_heuristic(n1, n2, graph): + return calc_edge_cost(graph[0][n1][0],graph[0][n1][1],graph[0][n2][0],graph[0][n2][1]) + +# Create a city path. +# Visit each node in the path. If the node has the city name, add the city name to the path. +# Example: ['Charlotte', 'Hermosillo', 'Mexicali', 'Los Angeles'] +def display_path(path, graph): + print([graph[1][node] for node in path if node in graph[1]]) + +# Using the explored, make a path by climbing up to "s" +# This method may be used in your BFS and Bi-BFS algorithms. +def generate_path(state, explored, graph): + path = [state] + cost = 0 + + while explored[state] != "s": #"s" is initial's parent + cost += graph[4][(state,explored[state])] + state = explored[state] + path.append(state) + + return path[::-1], cost + +def drawLine(canvas, y1, x1, y2, x2, col): + x1, y1, x2, y2 = float(x1), float(y1), float(x2), float(y2) + canvas.create_line(x1, 800-y1, x2, 800-y2, fill=col) + + +# Draw the final shortest path. +# Use drawLine function. +def draw_final_path(ROOT, canvas, path, graph, col='red'): + + for i in range(len(path[1:])): + drawLine(canvas, *graph[5][path[i]], *graph[5][path[i+1]], col) + + ROOT.update() + pass + + +def draw_all_edges(ROOT, canvas, graph): + ROOT.geometry("1200x800") #sets geometry + canvas.pack(fill=BOTH, expand=1) #sets fill expand + for n1, n2 in graph[4]: #graph[4] keys are edge set + drawLine(canvas, *graph[5][n1], *graph[5][n2], 'white') #graph[5] is map dict + ROOT.update() + + +def bfs(start, goal, graph, col): + ROOT = Tk() #creates new tkinter + ROOT.title("BFS") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + counter = 0 + frontier, explored = [], {start: "s"} + frontier.append(start) + while frontier: + s = frontier.pop(0) + if s == goal: + path, cost = generate_path(s, explored, graph) + print(f'The number of explored nodes of BFS: {len(explored)}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + draw_final_path(ROOT, canvas, path, graph) + return path, cost + for a in graph[3][s]: #graph[3] is neighbors + if a not in explored: + explored[a] = s + frontier.append(a) + drawLine(canvas, *graph[5][s], *graph[5][a], col) + counter += 1 + if counter % 1000 == 0: ROOT.update() + return None + +def bi_bfs(start, goal, graph, col): + + ROOT = Tk() #creates new tkinter + ROOT.title("Bi A Star") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + Q = [[start],[goal]] + explored = [{start:"s"},{goal:"s"}] + flag = 0 + counter = 0 + + while Q[0] or Q[1]: + flag = 1 - flag + for i in range(len(Q[flag])): + state = Q[flag].pop(0) + adj_list = graph[3][state] + + for adj in adj_list: + if adj in explored[1 - flag]: + explored[flag][adj] = state + start_path, start_cost = generate_path(adj, explored[0], graph) + goal_path, goal_cost = generate_path(adj, explored[1], graph) + path = start_path[:-1] + goal_path[::-1] + + draw_final_path(ROOT, canvas, path, graph) + + print(f'The number of explored nodes of Bi-BFS: {len(explored[0]) + len(explored[1])}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + + return path, start_cost + goal_cost + + for neighbor in adj_list: + if neighbor not in explored[flag]: + explored[flag][neighbor] = state + Q[flag].append(neighbor) + drawLine(canvas, *graph[5][state], *graph[5][neighbor], col) + + counter += 1 + if counter % 1000 == 0: ROOT.update() + return None + +def a_star(start, goal, graph, col, heuristic=dist_heuristic): + + ROOT = Tk() #creates new tkinter + ROOT.title("A*") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + frontier = HeapPriorityQueue() + explored = {} + if start == goal: return [] + + # We are pushing tuples of the (current_node, heuristic, path_cost, path)) + frontier.push((start, heuristic(start, goal, graph), 0, [start])) + explored[start] = heuristic(start, goal, graph) + + counter = 0 + + + while not frontier.isEmpty(): + state = frontier.pop() + + # Goal test + if state[0] == goal: + path = state[3] + print(f'The number of explored nodes of A star: {len(explored)}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + + draw_final_path(ROOT, canvas, state[3], graph) + + return path, state[2] + + + # Push children on heapq + #print(state[1] + state[2]) + for neighbor in graph[3][state[0]]: + h = heuristic(neighbor, goal, graph) + path_cost = graph[4][(neighbor, state[0])] + state[2] + cost = h + path_cost + if neighbor not in explored or explored[neighbor] > cost: + explored[neighbor] = cost + frontier.push((neighbor, h, path_cost, state[3] + [neighbor])) + drawLine(canvas, *graph[5][state[0]], *graph[5][neighbor], col) + + counter += 1 + if counter % 1000 == 0: ROOT.update() + + return None + +def bi_a_star(start, goal, graph, col, ROOT, canvas, heuristic=dist_heuristic): + + counter = 0 + frontier = [HeapPriorityQueue(),HeapPriorityQueue()] + explored = [{start: (heuristic(start, goal, graph), [start])},{goal: (heuristic(goal, start, graph), [goal])}] + flag = 1 + + # We are pushing tuples of the (current_node, heuristic, path_cost, path)) + frontier[0].push((start, heuristic(start, goal, graph), 0, [start])) + frontier[1].push((goal, heuristic(goal, start, graph), 0, [goal])) + + while frontier[0] or frontier[1]: + flag = 1 - flag + state = frontier[flag].pop() + + if state[0] in explored[1 - flag]: + if flag == 0: + path = state[3][:-1] + list(reversed(explored[1][state[0]][1])) + else: + path = explored[1][state[0]][1] + list(reversed(state[3][:-1])) + + print(f'The number of explored nodes of A star: {len(explored[0]) + len(explored[1])}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + + cost = sum([graph[4][(path[i], path[i+1])] for i in range(len(path) - 1)]) + + return path, cost + + # Push children on heapq + #print(state[1] + state[2]) + for neighbor in graph[3][state[0]]: + h = heuristic(neighbor, goal, graph) + path_cost = graph[4][(neighbor, state[0])] + state[2] + cost = h + path_cost + if neighbor not in explored[flag] or explored[flag][neighbor][0] > cost: + explored[flag][neighbor] = (cost, state[3] + [neighbor]) + frontier[flag].push((neighbor, h, path_cost, state[3] + [neighbor])) + drawLine(canvas, *graph[5][state[0]], *graph[5][neighbor], col) + + counter += 1 + if counter % 1000 == 0: ROOT.update() + + return None + +def tri_directional(city1, city2, city3, graph, col, ROOT, canvas, heuristic=dist_heuristic): + path_1_2, cost_1_2 = bi_a_star(city1, city2, graph, col, ROOT, canvas, heuristic) + path_1_3, cost_1_3 = bi_a_star(city3, city1, graph, col, ROOT, canvas, heuristic) + path_2_3, cost_2_3 = bi_a_star(city2, city3, graph, col, ROOT, canvas, heuristic) + cost, path = min([(cost_1_2+cost_2_3, path_1_2[:-1]+path_2_3), (cost_2_3+cost_1_3, path_2_3[:-1]+path_1_3), (cost_1_3+cost_1_2, path_1_3[:-1]+path_1_2)]) + draw_final_path(ROOT, canvas, path, graph) + print() + print(f'Tri-A The whole path: {path}') + print(f'Tri-A The length of the whole path {len(path)}') + return path, cost + +def main(): + start, goal = input("Start city: "), input("Goal city: ") + third = input("Third city for tri-directional: ") + + graph = make_graph("rrNodes.txt", "rrNodeCity.txt", "rrEdges.txt") # Task 1 + + """ + cur_time = time.time() + path, cost = bfs(graph[2][start], graph[2][goal], graph, 'yellow') #graph[2] is city to node + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('BFS Path Cost:', cost) + print ('BFS duration:', (time.time() - cur_time)) + print () + """ + """ + cur_time = time.time() + path, cost = bi_bfs(graph[2][start], graph[2][goal], graph, 'green') + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('Bi-BFS Path Cost:', cost) + print ('Bi-BFS duration:', (time.time() - cur_time)) + print () + """ + """ + cur_time = time.time() + path, cost = a_star(graph[2][start], graph[2][goal], graph, 'blue') + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('A star Path Cost:', cost) + print ('A star duration:', (time.time() - cur_time)) + print () + """ + + ROOT = Tk() #creates new tkinter + ROOT.title("Bi A Star") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + + cur_time = time.time() + path, cost = bi_a_star(graph[2][start], graph[2][goal], graph, 'orange', ROOT, canvas) + if path != None: + display_path(path, graph) + draw_final_path(ROOT, canvas, path, graph) + else: print ("No Path Found.") + print ('Bi-A star Path Cost:', cost) + print ("Bi-A star duration: ", (time.time() - cur_time)) + print () + + + ROOT = Tk() #creates new tkinter + ROOT.title("Tri A Star") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + print ("Tri-Search of ({}, {}, {})".format(start, goal, third)) + cur_time = time.time() + path, cost = tri_directional(graph[2][start], graph[2][goal], graph[2][third], graph, 'pink', ROOT, canvas) + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('Tri-A star Path Cost:', cost) + print ("Tri-directional search duration:", (time.time() - cur_time)) + + mainloop() # Let TK windows stay still + +if __name__ == '__main__': + main() + + +''' Sample output + ----jGRASP exec: python Lab10_railroad_Kim_2019_2020.py +Start city: Charlotte +Goal city: Los Angeles +Third city for tri-directional: Chicago +The number of explored nodes of BFS: 19735 +The whole path: ['3700421', '3700258', '3700256', '3700004', '3700076', '3700075', '0000530', '4500272', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100506', '0100012', '0100325', '0100345', '0100331', '0100520', '0100354', '0100355', '0100042', '0100566', '0100356', '0100357', '0100456', '0100103', '0100515', '0100264', '0100032', '0100263', '0100102', '0100033', '0100062', '0100129', '0100513', '0100061', '0000461', '2800154', '2800153', '2800032', '2800150', '2800031', '2800108', '2800247', '2800191', '2800156', '2800169', '2800001', '2800162', '2800163', '2800164', '2800125', '2800030', '2800028', '0000419', '2200078', '2200143', '2200039', '2200274', '2200379', '2200080', '2200273', '2200205', '2200112', '2200037', '2200076', '2200311', '0000411', '0500250', '0500019', '0500248', '0500005', '0500020', '0500134', '0000573', '4800439', '4800085', '4800410', '4801165', '4800956', '4801086', '4800081', '4800584', '4800082', '4800084', '4800309', '4800898', '4801101', '4800271', '4800578', '4800274', '4800881', '4800882', '4800167', '4800483', '4800464', '4800168', '4801228', '4800170', '4801230', '4800172', '4800462', '4800461', '4800230', '4800199', '4800832', '4800831', '4800198', '4801190', '4800830', '4800197', '4800200', '4800302', '4800648', '4800763', '4800286', '4800759', '4800758', '4800649', '4800675', '4801214', '4800285', '4800674', '4800757', '4800673', '4800672', '4800535', '4800280', '4800279', '4801134', '4800896', '4800357', '0009483', '9100020', '9100502', '9100501', '9100505', '9100507', '9100504', '9100503', '9100515', '9100153', '9100122', '9100478', '9100448', '9100442', '9100477', '9100476', '9100479', '9100436', '9100124', '9100150', '9100427', '9100012', '9100485', '9100484', '9100081', '9100486', '9100007', '9100117', '9100006', '9100116', '9100080', '9100438', '9100001', '0009063', '0600129', '0600577', '0600041', '0600579', '0600117', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600689', '0600464', '0600688', '0600384', '0600588', '0600460', '0600408', '0600799', '0600402', '0600766', '0600686', '0600079', '0600080', '0600086', '0600684', '0600425', '0600088', '0600759', '0600427', '0600316'] +The length of the whole path: 243 +['Charlotte', 'Hermosillo', 'Mexicali', 'Los Angeles'] +BFS Path Cost: 2965.7640233572088 +BFS duration: 288.9429421424866 + +The number of explored nodes of Bi-BFS: 12714 +The whole path: ['3700421', '3700258', '3700256', '3700004', '3700076', '3700075', '0000530', '4500272', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100506', '0100012', '0100325', '0100345', '0100331', '0100520', '0100354', '0100355', '0100042', '0100566', '0100356', '0100357', '0100456', '0100103', '0100515', '0100264', '0100032', '0100263', '0100102', '0100033', '0100062', '0100129', '0100513', '0100061', '0000461', '2800154', '2800153', '2800032', '2800150', '2800031', '2800108', '2800247', '2800191', '2800156', '2800169', '2800001', '2800162', '2800163', '2800164', '2800125', '2800030', '2800028', '0000419', '2200078', '2200143', '2200039', '2200274', '2200379', '2200080', '2200273', '2200205', '2200112', '2200037', '2200076', '2200311', '0000411', '0500250', '0500019', '0500248', '0500005', '0500020', '0500134', '0000573', '4800439', '4800085', '4800410', '4801165', '4800956', '4801086', '4800081', '4800584', '4800082', '4800084', '4800309', '4800898', '4801101', '4800271', '4800578', '4800274', '4800881', '4800882', '4800167', '4800483', '4800464', '4800168', '4801228', '4800170', '4801230', '4800172', '4800462', '4800461', '4800230', '4800199', '4800832', '4800831', '4800198', '4801190', '4800830', '4800197', '4800200', '4800302', '4800648', '4800763', '4800286', '4800759', '4800758', '4800649', '4800675', '4801214', '4800285', '4800674', '4800757', '4800673', '4800672', '4800535', '4800280', '4800279', '4801134', '4800896', '4800357', '0009483', '9100020', '9100502', '9100501', '9100505', '9100018', '9100508', '9100503', '9100515', '9100153', '9100122', '9100478', '9100448', '9100442', '9100477', '9100476', '9100479', '9100436', '9100124', '9100150', '9100427', '9100012', '9100485', '9100484', '9100081', '9100486', '9100007', '9100117', '9100006', '9100116', '9100080', '9100438', '9100001', '0009063', '0600129', '0600577', '0600041', '0600579', '0600117', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600690', '0600875', '0600691', '0600692', '0600082', '0600313', '0600383', '0600312', '0600404', '0600405', '0600403', '0600079', '0600080', '0600086', '0600684', '0600425', '0600088', '0600759', '0600427', '0600316'] +The length of the whole path 243 +['Charlotte', 'Hermosillo', 'Mexicali', 'Los Angeles'] +Bi-BFS Path Cost: 2965.4128704488785 +Bi-BFS duration: 115.2277946472168 + +The number of explored nodes of A star: 7692 +The whole path: ['3700421', '3700258', '3700257', '3700142', '3700422', '3700001', '3700235', '3700234', '3700330', '3700329', '3700002', '3700356', '3700355', '3700357', '3700197', '3700198', '0000529', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100340', '0100276', '0100339', '0100338', '0100324', '0100344', '0100508', '0100273', '0100329', '0100272', '0100303', '0100090', '0100430', '0100429', '0100435', '0100240', '0100239', '0100018', '0100138', '0100139', '0100088', '0100289', '0100569', '0100222', '0100224', '0100227', '0100188', '0100256', '0100101', '0100134', '0100038', '0100317', '0100319', '0100157', '0100253', '0100316', '0100198', '0100030', '0100465', '0100472', '0100028', '0100200', '0100293', '0100104', '0000462', '2800033', '2800152', '2800032', '2800150', '2800031', '2800108', '2800247', '2800191', '2800156', '2800169', '2800001', '2800162', '2800163', '2800164', '2800125', '2800030', '2800028', '0000419', '2200078', '2200143', '2200039', '2200274', '2200379', '2200080', '2200273', '2200205', '2200112', '2200037', '2200076', '2200277', '2200074', '2200322', '2200320', '2200035', '2200212', '2200218', '2200248', '2200036', '2200211', '2200209', '2200208', '2200265', '2200073', '2200312', '2200314', '0000143', '4801029', '4801030', '4800307', '4801033', '4801031', '4801171', '4800227', '4800306', '4800901', '4801289', '4800309', '4800416', '4800531', '4801183', '4800786', '4801181', '4800365', '4801180', '4800530', '4801168', '4800785', '4800096', '4800478', '4800097', '4800107', '4800106', '4800100', '4800586', '4800099', '4801026', '4800058', '4800842', '4800843', '4800467', '4800646', '4800056', '4800645', '4800456', '4800048', '4800455', '4801124', '4800778', '4800046', '4800853', '4800852', '4800045', '4801244', '4800681', '4800738', '4800291', '4800362', '4800363', '4800539', '4800295', '4800288', '4800540', '4800634', '4800554', '4801293', '4801292', '4800549', '4801294', '4800292', '4801290', '4800283', '4800702', '4800754', '4800281', '4800755', '4800756', '4800294', '4800550', '4800552', '4800553', '4800624', '4800823', '4801012', '4800536', '4800751', '4801307', '4801295', '4800743', '4800300', '4800746', '4800749', '4800516', '4801299', '0000588', '3500100', '3500044', '3500086', '3500106', '3500137', '3500015', '3500143', '3500041', '3500024', '0000310', '0400107', '0400029', '0400098', '0400105', '0400097', '0400030', '0400031', '0400033', '0400034', '0400036', '0400111', '0400110', '0400118', '0400037', '0400108', '0400120', '0400119', '0400103', '0400026', '0400079', '0400134', '0400072', '0400099', '0400044', '0400045', '0400135', '0400080', '0400048', '0400112', '0400092', '0400053', '0400060', '0000146', '0600798', '0600648', '0600758', '0600796', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600689', '0600464', '0600688', '0600384', '0600588', '0600460', '0600408', '0600799', '0600402', '0600766', '0600686', '0600079', '0600080', '0600085', '0600685', '0600084', '0600751', '0600322', '0600427', '0600316'] +The length of the whole path 319 +['Charlotte', 'Dallas', 'Tucson', 'Los Angeles'] +A star Path Cost: 2419.9700735372285 +A star duration: 6.368658781051636 + +The number of explored nodes of Bi-A star: 7692 +The whole path: ['3700421', '3700258', '3700257', '3700142', '3700422', '3700001', '3700235', '3700234', '3700330', '3700329', '3700002', '3700356', '3700355', '3700357', '3700197', '3700198', '0000529', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100340', '0100276', '0100339', '0100338', '0100324', '0100344', '0100508', '0100273', '0100329', '0100272', '0100303', '0100090', '0100430', '0100429', '0100435', '0100240', '0100367', '0100368', '0100282', '0100093', '0100152', '0100375', '0100304', '0100180', '0100278', '0100268', '0100387', '0100544', '0100137', '0100525', '0100312', '0100166', '0100167', '0100026', '0100109', '0100361', '0000466', '2800215', '2800039', '2800143', '2800214', '2800213', '2800058', '2800221', '2800059', '2800057', '2800209', '0000410', '4700333', '4700249', '4700217', '4700216', '4700355', '4700352', '4700005', '4700219', '4700220', '0000407', '0500006', '0500054', '0500281', '0500055', '0500074', '0500292', '0500228', '0500073', '0500216', '0500204', '0500071', '0500040', '0500309', '0500144', '0500143', '0500315', '0500314', '0500313', '0500311', '0500312', '0500316', '0500017', '0500117', '0500104', '0500320', '0500018', '0500240', '0500251', '0500019', '0500248', '0500005', '0500020', '0500134', '0000573', '4800439', '4800085', '4800410', '4801165', '4800956', '4801086', '4800081', '4800583', '4800437', '4801087', '4800585', '4800080', '4800079', '4800076', '4800077', '4800075', '4800687', '4800088', '4800440', '4801172', '4800089', '4800112', '4801175', '4800482', '4800481', '4800784', '4800057', '4800054', '4800469', '4800470', '4800471', '4800644', '4800642', '4800641', '4800643', '4800645', '4800456', '4800048', '4800455', '4801124', '4800778', '4800046', '4800853', '4800852', '4800045', '4801244', '4800681', '4800738', '4800291', '4800362', '4800363', '4800539', '4800295', '4800288', '4800540', '4800634', '4800554', '4801293', '4801292', '4800549', '4801294', '4800292', '4801290', '4800283', '4800702', '4800754', '4800281', '4800755', '4800756', '4800294', '4800550', '4800552', '4800553', '4800624', '4800823', '4801012', '4800536', '4800751', '4801307', '4801295', '4800743', '4800300', '4800746', '4800749', '4800516', '4801299', '0000588', '3500100', '3500044', '3500086', '3500106', '3500137', '3500015', '3500143', '3500041', '3500024', '0000310', '0400107', '0400029', '0400098', '0400105', '0400097', '0400030', '0400031', '0400033', '0400034', '0400036', '0400111', '0400110', '0400118', '0400037', '0400108', '0400120', '0400119', '0400103', '0400026', '0400079', '0400134', '0400072', '0400099', '0400044', '0400045', '0400135', '0400080', '0400048', '0400112', '0400092', '0400053', '0400060', '0000146', '0600798', '0600648', '0600758', '0600796', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600689', '0600464', '0600688', '0600384', '0600588', '0600460', '0600408', '0600799', '0600402', '0600766', '0600686', '0600079', '0600080', '0600085', '0600685', '0600084', '0600751', '0600322', '0600427', '0600316'] +The length of the whole path 319 +['Charlotte', 'Dallas', 'Tucson', 'Los Angeles'] +Bi-A star Path Cost: 2419.9700735372285 +Bi-A star duration: 61.220252990722656 + +Tri-Search of (Charlotte, Los Angeles, Chicago) +The whole path: ['0600316', '0600427', '0600322', '0600751', '0600084', '0600685', '0600085', '0600080', '0600079', '0600686', '0600766', '0600402', '0600799', '0600408', '0600460', '0600588', '0600384', '0600688', '0600463', '0600435', '0600107', '0600775', '0600769', '0600436', '0600032', '0600414', '0600867', '0600866', '0600031', '0600033', '0600795', '0600602', '0600603', '0600036', '0600604', '0600871', '0600870', '0600872', '0600495', '0000144', '0400113', '0400114', '0400009', '0400010', '0400116', '0400117', '0400148', '0400074', '0400146', '0400147', '0400064', '0400005', '0400006', '0400063', '0400100', '0400075', '0400071', '0400070', '0400002', '0400050', '0000312', '3500036', '3500062', '3500063', '3500068', '3500069', '3500101', '3500111', '3500061', '3500109', '3500084', '3500089', '3500102', '3500065', '3500066', '3500032', '3500027', '3500119', '3500071', '3500070', '3500090', '3500107', '3500072', '3500013', '3500047', '3500039', '3500141', '3500025', '3500099', '0000257', '4801203', '4800003', '4801200', '4800002', '0000248', '4000264', '4000138', '4000231', '0000246', '2000206', '2000503', '2000360', '2000427', '2000500', '2000452', '2000207', '2000419', '2000501', '2000502', '2000073', '2000074', '2000075', '2000473', '2000519', '2000506', '2000294', '2000295', '2000296', '2000514', '2000523', '2000077', '2000292', '2000504', '2000293', '2000092', '2000311', '2000472', '2000470', '2000094', '2000095', '2000404', '2000097', '2000277', '2000102', '2000414', '2000103', '2000104', '2000106', '2000356', '2000114', '2000372', '2000117', '2000465', '2000466', '2000467', '2000270', '2000258', '2000257', '2000256', '2000260', '0000232', '2900371', '2900374', '2900378', '2900238', '2900184', '2900358', '2900288', '2900289', '2900098', '2900366', '2900341', '2900367', '2900108', '2900287', '2900241', '2900103', '2900482', '2900102', '2900545', '2900556', '2900111', '2900120', '2900122', '2900494', '2900355', '2900121', '2900162', '2900165', '2900566', '2900468', '2900164', '0000395', '1900057', '1900382', '1900070', '0000393', '1701225', '1700286', '1701010', '1701170', '1700285', '1701321', '1701325', '1701326', '1701323', '1700750', '1701328', '1701327', '1700292', '1700281', '1700280', '1701120', '1700301', '1700922', '1701121', '1700487', '1700480', '1700479', '1700478', '1700477', '1700430', '1700431', '1701157', '1700449', '1700419', '1700465', '1700418', '1701034', '1701194', '1700417', '1700629', '1701394', '1700653', '1700631', '1700415', '1701267', '1701265', '1701291', '1700899', '1700919', '1701607', '1700411', '1700792', '1700624', '1700635', '1700434', '1701056', '1701063', '1701062', '1700651', '1700803', '0000580', '1800373', '1800287', '1800698', '1800697', '1800699', '1800700', '1800377', '1800404', '1800710', '1800709', '1800708', '1800705', '1800706', '1800396', '1800237', '1800228', '1800227', '1800226', '1800474', '1800475', '1800280', '1800416', '1800185', '1800195', '1800200', '1800317', '1800201', '1800145', '1800144', '1800146', '1800167', '1800461', '1800162', '1800460', '1800653', '1800651', '1800652', '1800513', '1800512', '1800511', '1800328', '1800100', '1800577', '1800095', '1800560', '1800096', '1800492', '1800746', '1800744', '1800070', '1800743', '1800069', '0000013', '3901034', '3900294', '3900813', '3900814', '3900526', '3900527', '3900290', '3900293', '3900896', '3900528', '0000183', '2100102', '2100259', '2100101', '2100296', '2100328', '2100321', '2100094', '2100093', '2100092', '2100088', '2100291', '2100398', '2100162', '2100322', '2100246', '2100184', '2100051', '2100186', '2100385', '2100384', '2100383', '2100381', '2100382', '2100053', '2100055', '2100160', '2100059', '2100216', '2100060', '2100158', '2100065', '2100064', '2100152', '2100156', '0000025', '5100179', '5100126', '5100128', '5100122', '5100121', '5100269', '5100384', '5100061', '5100385', '5100062', '5100436', '0000568', '4700230', '4700231', '4700101', '4700302', '4700143', '4700410', '4700141', '4700144', '0000200', '3700359', '3700082', '3700375', '3700126', '3700376', '3700127', '3700224', '3700091', '3700225', '3700125', '3700144', '3700077', '3700075', '3700076', '3700004', '3700256', '3700258', '3700421'] +The length of the whole path 381 +['Los Angeles', 'Chicago', 'Charlotte'] +Tri-A star Path Cost: 2760.516003492685 +Tri-directional search duration: 22.166738271713257 + + ----jGRASP: operation complete. +''' \ No newline at end of file diff --git a/Unit 1/Umaretiya_r_U1_L6.py b/Unit 1/Umaretiya_r_U1_L6.py new file mode 100644 index 0000000..2fca656 --- /dev/null +++ b/Unit 1/Umaretiya_r_U1_L6.py @@ -0,0 +1,461 @@ +# Name: Rushil Umaretiya +# Data: 10/22/2020 +import random, pickle, math, time +from math import pi, acos, sin, cos +from tkinter import * + +class HeapPriorityQueue(): + def __init__(self): + self.queue = ["dummy"] # we do not use index 0 for easy index calulation + self.current = 1 # to make this object iterable + + def next(self): # define what __next__ does + if self.current >=len(self.queue): + self.current = 1 # to restart iteration later + raise StopIteration + + out = self.queue[self.current] + self.current += 1 + + return out + + def __iter__(self): + return self + + __next__ = next + + def isEmpty(self): + return len(self.queue) <= 1 # b/c index 0 is dummy + + def swap(self, a, b): + self.queue[a], self.queue[b] = self.queue[b], self.queue[a] + + # Add a value to the heap_pq + def push(self, value): + self.queue.append(value) + # write more code here to keep the min-heap property + self.heapUp(len(self.queue)-1) + + # helper method for push + def heapUp(self, k): + if k <= 1: + return + + if len(self.queue) % 2 == 1 and k == len(self.queue) - 1: # no sibling + if sum(self.queue[k//2][1:3]) > sum(self.queue[k][1:3]): + self.swap(k, k//2) + self.heapUp(k//2) + return + + if k % 2 == 0: + parent, sibling = k//2, k+1 + else: + parent, sibling = k//2, k-1 + + if sum(self.queue[k][1:3]) > sum(self.queue[sibling][1:3]): + child = sibling + else: + child = k + + if sum(self.queue[parent][1:3]) > sum(self.queue[child][1:3]): + self.swap(child, parent) + self.heapUp(parent) + + + # helper method for reheap and pop + def heapDown(self, k, size): + left, right = 2*k, 2*k+1 + + if left == size and sum(self.queue[k][1:3]) > sum(self.queue[size][1:3]): # One child + self.swap(k, left) + + elif right <= size: + child = (left if sum(self.queue[left][1:3]) < sum(self.queue[right][1:3]) else right) + + if sum(self.queue[k][1:3]) > sum(self.queue[child][1:3]): + self.swap(k, child) + self.heapDown(child, size) + + # make the queue as a min-heap + def reheap(self): + if self.isEmpty(): + return -1 + + for k in range((len(self.queue)-1)//2, 0, -1): + self.heapUp(k) + + # remove the min value (root of the heap) + # return the removed value + def pop(self): + if self.isEmpty(): + return -1 + self.swap (1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(1, len(self.queue) - 1) + return val + + # remove a value at the given index (assume index 0 is the root) + # return the removed value + def remove(self, index): + + if self.isEmpty(): + return -1 + + if len (self.queue) == 2: + val = self.queue.pop() + self.queue = [] + return val + + self.swap (index + 1, len(self.queue) - 1) + val = self.queue.pop() + self.heapDown(index + 1, len(self.queue) - 1) + + return val + +def calc_edge_cost(y1, x1, y2, x2): + # + # y1 = lat1, x1 = long1 + # y2 = lat2, x2 = long2 + # all assumed to be in decimal degrees + + # if (and only if) the input is strings + # use the following conversions + + y1 = float(y1) + x1 = float(x1) + y2 = float(y2) + x2 = float(x2) + # + R = 3958.76 # miles = 6371 km + # + y1 *= pi/180.0 + x1 *= pi/180.0 + y2 *= pi/180.0 + x2 *= pi/180.0 + # + # approximate great circle distance with law of cosines + # + return acos( sin(y1)*sin(y2) + cos(y1)*cos(y2)*cos(x2-x1) ) * R + # + + +# NodeLocations, NodeToCity, CityToNode, Neighbors, EdgeCost +# Node: (lat, long) or (y, x), node: city, city: node, node: neighbors, (n1, n2): cost +def make_graph(nodes = "rrNodes.txt", node_city = "rrNodeCity.txt", edges = "rrEdges.txt"): + nodeLoc, nodeToCity, cityToNode, neighbors, edgeCost = {}, {}, {}, {}, {} + map = {} # have screen coordinate for each node location + + nodes = open(nodes, "r") + node_city = open(node_city, "r") + edges = open(edges, "r") + + for line in node_city.readlines(): + args = line.strip().split(" ", 1) + nodeToCity[args[0]] = args[1] + cityToNode[args[1]] = args[0] + + for line in nodes.readlines(): + args = line.strip().split(" ") + nodeLoc[args[0]] = (float(args[1]), float(args[2])) + + for line in edges.readlines(): + args = line.strip().split(" ") + cost = calc_edge_cost(nodeLoc[args[0]][0], nodeLoc[args[0]][1], nodeLoc[args[1]][0], nodeLoc[args[1]][1]) + edgeCost[(args[0],args[1])] = cost + edgeCost[(args[1],args[0])] = cost + + if args[0] in neighbors: + neighbors[args[0]]+=[args[1]] + else: + neighbors[args[0]] = [args[1]] + + if args[1] in neighbors: + neighbors[args[1]]+=[args[0]] + else: + neighbors[args[1]] = [args[0]] + + + for node in nodeLoc: #checks each + lat = float(nodeLoc[node][0]) #gets latitude + long = float(nodeLoc[node][1]) #gets long + modlat = (lat - 10)/60 #scales to 0-1 + modlong = (long+130)/70 #scales to 0-1 + map[node] = [modlat*800, modlong*1200] #scales to fit 800 1200 + + return [nodeLoc, nodeToCity, cityToNode, neighbors, edgeCost, map] + +# Retuen the direct distance from node1 to node2 +# Use calc_edge_cost function. +def dist_heuristic(n1, n2, graph): + return calc_edge_cost(graph[0][n1][0],graph[0][n1][1],graph[0][n2][0],graph[0][n2][1]) + +# Create a city path. +# Visit each node in the path. If the node has the city name, add the city name to the path. +# Example: ['Charlotte', 'Hermosillo', 'Mexicali', 'Los Angeles'] +def display_path(path, graph): + print([graph[1][node] for node in path if node in graph[1]]) + +# Using the explored, make a path by climbing up to "s" +# This method may be used in your BFS and Bi-BFS algorithms. +def generate_path(state, explored, graph): + path = [state] + cost = 0 + + while explored[state] != "s": #"s" is initial's parent + cost += graph[4][(state,explored[state])] + state = explored[state] + path.append(state) + + return path[::-1], cost + +def drawLine(canvas, y1, x1, y2, x2, col): + x1, y1, x2, y2 = float(x1), float(y1), float(x2), float(y2) + canvas.create_line(x1, 800-y1, x2, 800-y2, fill=col) + + +# Draw the final shortest path. +# Use drawLine function. +def draw_final_path(ROOT, canvas, path, graph, col='red'): + + for i in range(len(path[1:])): + drawLine(canvas, *graph[5][path[i]], *graph[5][path[i+1]], col) + + ROOT.update() + pass + + +def draw_all_edges(ROOT, canvas, graph): + ROOT.geometry("1200x800") #sets geometry + canvas.pack(fill=BOTH, expand=1) #sets fill expand + for n1, n2 in graph[4]: #graph[4] keys are edge set + drawLine(canvas, *graph[5][n1], *graph[5][n2], 'white') #graph[5] is map dict + ROOT.update() + + +def bfs(start, goal, graph, col): + ROOT = Tk() #creates new tkinter + ROOT.title("BFS") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + counter = 0 + frontier, explored = [], {start: "s"} + frontier.append(start) + while frontier: + s = frontier.pop(0) + if s == goal: + path, cost = generate_path(s, explored, graph) + print(f'The number of explored nodes of BFS: {len(explored)}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + draw_final_path(ROOT, canvas, path, graph) + return path, cost + for a in graph[3][s]: #graph[3] is neighbors + if a not in explored: + explored[a] = s + frontier.append(a) + drawLine(canvas, *graph[5][s], *graph[5][a], col) + counter += 1 + if counter % 1000 == 0: ROOT.update() + return None + +def bi_bfs(start, goal, graph, col): + + ROOT = Tk() #creates new tkinter + ROOT.title("Bi-BFS") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + Q = [[start],[goal]] + explored = [{start:"s"},{goal:"s"}] + flag = 0 + counter = 0 + + while Q[0] or Q[1]: + flag = 1 - flag + for i in range(len(Q[flag])): + state = Q[flag].pop(0) + adj_list = graph[3][state] + + for adj in adj_list: + if adj in explored[1 - flag]: + explored[flag][adj] = state + start_path, start_cost = generate_path(adj, explored[0], graph) + goal_path, goal_cost = generate_path(adj, explored[1], graph) + path = start_path[:-1] + goal_path[::-1] + + draw_final_path(ROOT, canvas, path, graph) + + print(f'The number of explored nodes of Bi-BFS: {len(explored[0]) + len(explored[1])}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + + return path, start_cost + goal_cost + + for neighbor in adj_list: + if neighbor not in explored[flag]: + explored[flag][neighbor] = state + Q[flag].append(neighbor) + drawLine(canvas, *graph[5][state], *graph[5][neighbor], col) + + counter += 1 + if counter % 1000 == 0: ROOT.update() + return None + +def a_star(start, goal, graph, col, heuristic=dist_heuristic): + + ROOT = Tk() #creates new tkinter + ROOT.title("A*") + canvas = Canvas(ROOT, background='black') #sets background + draw_all_edges(ROOT, canvas, graph) + + frontier = HeapPriorityQueue() + explored = {} + if start == goal: return [] + + # We are pushing tuples of the (current_node, heuristic, path_cost, path)) + frontier.push((start, heuristic(start, goal, graph), 0, [start])) + explored[start] = heuristic(start, goal, graph) + + counter = 0 + + + while not frontier.isEmpty(): + state = frontier.pop() + + # Goal test + if state[0] == goal: + path = state[3] + print(f'The number of explored nodes of A star: {len(explored)}') + print(f'The whole path: {path}') + print(f'The length of the whole path {len(path)}') + + draw_final_path(ROOT, canvas, state[3], graph) + + return path, state[2] + + + # Push children on heapq + #print(state[1] + state[2]) + for neighbor in graph[3][state[0]]: + h = heuristic(neighbor, goal, graph) + path_cost = graph[4][(neighbor, state[0])] + state[2] + cost = h + path_cost + if neighbor not in explored or explored[neighbor] > cost: + explored[neighbor] = cost + frontier.push((neighbor, h, path_cost, state[3] + [neighbor])) + drawLine(canvas, *graph[5][state[0]], *graph[5][neighbor], col) + + counter += 1 + if counter % 1000 == 0: ROOT.update() + + return None + + +def bi_a_star(start, goal, graph, col, heuristic=dist_heuristic): + + # Your code goes here + + return None + +def tri_directional(city1, city2, city3, graph, col, heuristic=dist_heuristic): + + # Your code goes here + + return None + +def main(): + start, goal = input("Start city: "), input("Goal city: ") + #third = input("Third city for tri-directional: ") + graph = make_graph("rrNodes.txt", "rrNodeCity.txt", "rrEdges.txt") # Task 1 + + cur_time = time.time() + path, cost = bfs(graph[2][start], graph[2][goal], graph, 'yellow') #graph[2] is city to node + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('BFS Path Cost:', cost) + print ('BFS duration:', (time.time() - cur_time)) + print () + + cur_time = time.time() + path, cost = bi_bfs(graph[2][start], graph[2][goal], graph, 'green') + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('Bi-BFS Path Cost:', cost) + print ('Bi-BFS duration:', (time.time() - cur_time)) + print () + + + cur_time = time.time() + path, cost = a_star(graph[2][start], graph[2][goal], graph, 'blue') + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('A star Path Cost:', cost) + print ('A star duration:', (time.time() - cur_time)) + print () + + """ + cur_time = time.time() + path, cost = bi_a_star(graph[2][start], graph[2][goal], graph, 'orange', ROOT, canvas) + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('Bi-A star Path Cost:', cost) + print ("Bi-A star duration: ", (time.time() - cur_time)) + print () + + print ("Tri-Search of ({}, {}, {})".format(start, goal, third)) + cur_time = time.time() + path, cost = tri_directional(graph[2][start], graph[2][goal], graph[2][third], graph, 'pink', ROOT, canvas) + if path != None: display_path(path, graph) + else: print ("No Path Found.") + print ('Tri-A star Path Cost:', cost) + print ("Tri-directional search duration:", (time.time() - cur_time)) + """ + mainloop() # Let TK windows stay still + +if __name__ == '__main__': + main() + + +''' Sample output + ----jGRASP exec: python Lab10_railroad_Kim_2019_2020.py +Start city: Charlotte +Goal city: Los Angeles +Third city for tri-directional: Chicago +The number of explored nodes of BFS: 19735 +The whole path: ['3700421', '3700258', '3700256', '3700004', '3700076', '3700075', '0000530', '4500272', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100506', '0100012', '0100325', '0100345', '0100331', '0100520', '0100354', '0100355', '0100042', '0100566', '0100356', '0100357', '0100456', '0100103', '0100515', '0100264', '0100032', '0100263', '0100102', '0100033', '0100062', '0100129', '0100513', '0100061', '0000461', '2800154', '2800153', '2800032', '2800150', '2800031', '2800108', '2800247', '2800191', '2800156', '2800169', '2800001', '2800162', '2800163', '2800164', '2800125', '2800030', '2800028', '0000419', '2200078', '2200143', '2200039', '2200274', '2200379', '2200080', '2200273', '2200205', '2200112', '2200037', '2200076', '2200311', '0000411', '0500250', '0500019', '0500248', '0500005', '0500020', '0500134', '0000573', '4800439', '4800085', '4800410', '4801165', '4800956', '4801086', '4800081', '4800584', '4800082', '4800084', '4800309', '4800898', '4801101', '4800271', '4800578', '4800274', '4800881', '4800882', '4800167', '4800483', '4800464', '4800168', '4801228', '4800170', '4801230', '4800172', '4800462', '4800461', '4800230', '4800199', '4800832', '4800831', '4800198', '4801190', '4800830', '4800197', '4800200', '4800302', '4800648', '4800763', '4800286', '4800759', '4800758', '4800649', '4800675', '4801214', '4800285', '4800674', '4800757', '4800673', '4800672', '4800535', '4800280', '4800279', '4801134', '4800896', '4800357', '0009483', '9100020', '9100502', '9100501', '9100505', '9100507', '9100504', '9100503', '9100515', '9100153', '9100122', '9100478', '9100448', '9100442', '9100477', '9100476', '9100479', '9100436', '9100124', '9100150', '9100427', '9100012', '9100485', '9100484', '9100081', '9100486', '9100007', '9100117', '9100006', '9100116', '9100080', '9100438', '9100001', '0009063', '0600129', '0600577', '0600041', '0600579', '0600117', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600689', '0600464', '0600688', '0600384', '0600588', '0600460', '0600408', '0600799', '0600402', '0600766', '0600686', '0600079', '0600080', '0600086', '0600684', '0600425', '0600088', '0600759', '0600427', '0600316'] +The length of the whole path: 243 +['Charlotte', 'Hermosillo', 'Mexicali', 'Los Angeles'] +BFS Path Cost: 2965.7640233572088 +BFS duration: 288.9429421424866 + +The number of explored nodes of Bi-BFS: 12714 +The whole path: ['3700421', '3700258', '3700256', '3700004', '3700076', '3700075', '0000530', '4500272', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100506', '0100012', '0100325', '0100345', '0100331', '0100520', '0100354', '0100355', '0100042', '0100566', '0100356', '0100357', '0100456', '0100103', '0100515', '0100264', '0100032', '0100263', '0100102', '0100033', '0100062', '0100129', '0100513', '0100061', '0000461', '2800154', '2800153', '2800032', '2800150', '2800031', '2800108', '2800247', '2800191', '2800156', '2800169', '2800001', '2800162', '2800163', '2800164', '2800125', '2800030', '2800028', '0000419', '2200078', '2200143', '2200039', '2200274', '2200379', '2200080', '2200273', '2200205', '2200112', '2200037', '2200076', '2200311', '0000411', '0500250', '0500019', '0500248', '0500005', '0500020', '0500134', '0000573', '4800439', '4800085', '4800410', '4801165', '4800956', '4801086', '4800081', '4800584', '4800082', '4800084', '4800309', '4800898', '4801101', '4800271', '4800578', '4800274', '4800881', '4800882', '4800167', '4800483', '4800464', '4800168', '4801228', '4800170', '4801230', '4800172', '4800462', '4800461', '4800230', '4800199', '4800832', '4800831', '4800198', '4801190', '4800830', '4800197', '4800200', '4800302', '4800648', '4800763', '4800286', '4800759', '4800758', '4800649', '4800675', '4801214', '4800285', '4800674', '4800757', '4800673', '4800672', '4800535', '4800280', '4800279', '4801134', '4800896', '4800357', '0009483', '9100020', '9100502', '9100501', '9100505', '9100018', '9100508', '9100503', '9100515', '9100153', '9100122', '9100478', '9100448', '9100442', '9100477', '9100476', '9100479', '9100436', '9100124', '9100150', '9100427', '9100012', '9100485', '9100484', '9100081', '9100486', '9100007', '9100117', '9100006', '9100116', '9100080', '9100438', '9100001', '0009063', '0600129', '0600577', '0600041', '0600579', '0600117', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600690', '0600875', '0600691', '0600692', '0600082', '0600313', '0600383', '0600312', '0600404', '0600405', '0600403', '0600079', '0600080', '0600086', '0600684', '0600425', '0600088', '0600759', '0600427', '0600316'] +The length of the whole path 243 +['Charlotte', 'Hermosillo', 'Mexicali', 'Los Angeles'] +Bi-BFS Path Cost: 2965.4128704488785 +Bi-BFS duration: 115.2277946472168 + +The number of explored nodes of A star: 7692 +The whole path: ['3700421', '3700258', '3700257', '3700142', '3700422', '3700001', '3700235', '3700234', '3700330', '3700329', '3700002', '3700356', '3700355', '3700357', '3700197', '3700198', '0000529', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100340', '0100276', '0100339', '0100338', '0100324', '0100344', '0100508', '0100273', '0100329', '0100272', '0100303', '0100090', '0100430', '0100429', '0100435', '0100240', '0100239', '0100018', '0100138', '0100139', '0100088', '0100289', '0100569', '0100222', '0100224', '0100227', '0100188', '0100256', '0100101', '0100134', '0100038', '0100317', '0100319', '0100157', '0100253', '0100316', '0100198', '0100030', '0100465', '0100472', '0100028', '0100200', '0100293', '0100104', '0000462', '2800033', '2800152', '2800032', '2800150', '2800031', '2800108', '2800247', '2800191', '2800156', '2800169', '2800001', '2800162', '2800163', '2800164', '2800125', '2800030', '2800028', '0000419', '2200078', '2200143', '2200039', '2200274', '2200379', '2200080', '2200273', '2200205', '2200112', '2200037', '2200076', '2200277', '2200074', '2200322', '2200320', '2200035', '2200212', '2200218', '2200248', '2200036', '2200211', '2200209', '2200208', '2200265', '2200073', '2200312', '2200314', '0000143', '4801029', '4801030', '4800307', '4801033', '4801031', '4801171', '4800227', '4800306', '4800901', '4801289', '4800309', '4800416', '4800531', '4801183', '4800786', '4801181', '4800365', '4801180', '4800530', '4801168', '4800785', '4800096', '4800478', '4800097', '4800107', '4800106', '4800100', '4800586', '4800099', '4801026', '4800058', '4800842', '4800843', '4800467', '4800646', '4800056', '4800645', '4800456', '4800048', '4800455', '4801124', '4800778', '4800046', '4800853', '4800852', '4800045', '4801244', '4800681', '4800738', '4800291', '4800362', '4800363', '4800539', '4800295', '4800288', '4800540', '4800634', '4800554', '4801293', '4801292', '4800549', '4801294', '4800292', '4801290', '4800283', '4800702', '4800754', '4800281', '4800755', '4800756', '4800294', '4800550', '4800552', '4800553', '4800624', '4800823', '4801012', '4800536', '4800751', '4801307', '4801295', '4800743', '4800300', '4800746', '4800749', '4800516', '4801299', '0000588', '3500100', '3500044', '3500086', '3500106', '3500137', '3500015', '3500143', '3500041', '3500024', '0000310', '0400107', '0400029', '0400098', '0400105', '0400097', '0400030', '0400031', '0400033', '0400034', '0400036', '0400111', '0400110', '0400118', '0400037', '0400108', '0400120', '0400119', '0400103', '0400026', '0400079', '0400134', '0400072', '0400099', '0400044', '0400045', '0400135', '0400080', '0400048', '0400112', '0400092', '0400053', '0400060', '0000146', '0600798', '0600648', '0600758', '0600796', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600689', '0600464', '0600688', '0600384', '0600588', '0600460', '0600408', '0600799', '0600402', '0600766', '0600686', '0600079', '0600080', '0600085', '0600685', '0600084', '0600751', '0600322', '0600427', '0600316'] +The length of the whole path 319 +['Charlotte', 'Dallas', 'Tucson', 'Los Angeles'] +A star Path Cost: 2419.9700735372285 +A star duration: 6.368658781051636 + +The number of explored nodes of Bi-A star: 7692 +The whole path: ['3700421', '3700258', '3700257', '3700142', '3700422', '3700001', '3700235', '3700234', '3700330', '3700329', '3700002', '3700356', '3700355', '3700357', '3700197', '3700198', '0000529', '4500042', '4500270', '4500231', '4500069', '4500023', '4500233', '4500094', '4500095', '4500096', '4500097', '4500234', '4500225', '4500104', '4500082', '4500164', '4500015', '4500181', '4500167', '0000533', '1300133', '1300197', '1300132', '1300146', '1300198', '1300204', '1300208', '1300087', '1300279', '1300088', '1300369', '1300459', '1300458', '1300090', '1300460', '1300107', '1300210', '1300398', '1300099', '0000031', '0100343', '0100342', '0100341', '0100084', '0100340', '0100276', '0100339', '0100338', '0100324', '0100344', '0100508', '0100273', '0100329', '0100272', '0100303', '0100090', '0100430', '0100429', '0100435', '0100240', '0100367', '0100368', '0100282', '0100093', '0100152', '0100375', '0100304', '0100180', '0100278', '0100268', '0100387', '0100544', '0100137', '0100525', '0100312', '0100166', '0100167', '0100026', '0100109', '0100361', '0000466', '2800215', '2800039', '2800143', '2800214', '2800213', '2800058', '2800221', '2800059', '2800057', '2800209', '0000410', '4700333', '4700249', '4700217', '4700216', '4700355', '4700352', '4700005', '4700219', '4700220', '0000407', '0500006', '0500054', '0500281', '0500055', '0500074', '0500292', '0500228', '0500073', '0500216', '0500204', '0500071', '0500040', '0500309', '0500144', '0500143', '0500315', '0500314', '0500313', '0500311', '0500312', '0500316', '0500017', '0500117', '0500104', '0500320', '0500018', '0500240', '0500251', '0500019', '0500248', '0500005', '0500020', '0500134', '0000573', '4800439', '4800085', '4800410', '4801165', '4800956', '4801086', '4800081', '4800583', '4800437', '4801087', '4800585', '4800080', '4800079', '4800076', '4800077', '4800075', '4800687', '4800088', '4800440', '4801172', '4800089', '4800112', '4801175', '4800482', '4800481', '4800784', '4800057', '4800054', '4800469', '4800470', '4800471', '4800644', '4800642', '4800641', '4800643', '4800645', '4800456', '4800048', '4800455', '4801124', '4800778', '4800046', '4800853', '4800852', '4800045', '4801244', '4800681', '4800738', '4800291', '4800362', '4800363', '4800539', '4800295', '4800288', '4800540', '4800634', '4800554', '4801293', '4801292', '4800549', '4801294', '4800292', '4801290', '4800283', '4800702', '4800754', '4800281', '4800755', '4800756', '4800294', '4800550', '4800552', '4800553', '4800624', '4800823', '4801012', '4800536', '4800751', '4801307', '4801295', '4800743', '4800300', '4800746', '4800749', '4800516', '4801299', '0000588', '3500100', '3500044', '3500086', '3500106', '3500137', '3500015', '3500143', '3500041', '3500024', '0000310', '0400107', '0400029', '0400098', '0400105', '0400097', '0400030', '0400031', '0400033', '0400034', '0400036', '0400111', '0400110', '0400118', '0400037', '0400108', '0400120', '0400119', '0400103', '0400026', '0400079', '0400134', '0400072', '0400099', '0400044', '0400045', '0400135', '0400080', '0400048', '0400112', '0400092', '0400053', '0400060', '0000146', '0600798', '0600648', '0600758', '0600796', '0600039', '0600646', '0600797', '0600747', '0600516', '0600750', '0600584', '0600746', '0600585', '0600586', '0600042', '0600770', '0600434', '0600689', '0600464', '0600688', '0600384', '0600588', '0600460', '0600408', '0600799', '0600402', '0600766', '0600686', '0600079', '0600080', '0600085', '0600685', '0600084', '0600751', '0600322', '0600427', '0600316'] +The length of the whole path 319 +['Charlotte', 'Dallas', 'Tucson', 'Los Angeles'] +Bi-A star Path Cost: 2419.9700735372285 +Bi-A star duration: 61.220252990722656 + +Tri-Search of (Charlotte, Los Angeles, Chicago) +The whole path: ['0600316', '0600427', '0600322', '0600751', '0600084', '0600685', '0600085', '0600080', '0600079', '0600686', '0600766', '0600402', '0600799', '0600408', '0600460', '0600588', '0600384', '0600688', '0600463', '0600435', '0600107', '0600775', '0600769', '0600436', '0600032', '0600414', '0600867', '0600866', '0600031', '0600033', '0600795', '0600602', '0600603', '0600036', '0600604', '0600871', '0600870', '0600872', '0600495', '0000144', '0400113', '0400114', '0400009', '0400010', '0400116', '0400117', '0400148', '0400074', '0400146', '0400147', '0400064', '0400005', '0400006', '0400063', '0400100', '0400075', '0400071', '0400070', '0400002', '0400050', '0000312', '3500036', '3500062', '3500063', '3500068', '3500069', '3500101', '3500111', '3500061', '3500109', '3500084', '3500089', '3500102', '3500065', '3500066', '3500032', '3500027', '3500119', '3500071', '3500070', '3500090', '3500107', '3500072', '3500013', '3500047', '3500039', '3500141', '3500025', '3500099', '0000257', '4801203', '4800003', '4801200', '4800002', '0000248', '4000264', '4000138', '4000231', '0000246', '2000206', '2000503', '2000360', '2000427', '2000500', '2000452', '2000207', '2000419', '2000501', '2000502', '2000073', '2000074', '2000075', '2000473', '2000519', '2000506', '2000294', '2000295', '2000296', '2000514', '2000523', '2000077', '2000292', '2000504', '2000293', '2000092', '2000311', '2000472', '2000470', '2000094', '2000095', '2000404', '2000097', '2000277', '2000102', '2000414', '2000103', '2000104', '2000106', '2000356', '2000114', '2000372', '2000117', '2000465', '2000466', '2000467', '2000270', '2000258', '2000257', '2000256', '2000260', '0000232', '2900371', '2900374', '2900378', '2900238', '2900184', '2900358', '2900288', '2900289', '2900098', '2900366', '2900341', '2900367', '2900108', '2900287', '2900241', '2900103', '2900482', '2900102', '2900545', '2900556', '2900111', '2900120', '2900122', '2900494', '2900355', '2900121', '2900162', '2900165', '2900566', '2900468', '2900164', '0000395', '1900057', '1900382', '1900070', '0000393', '1701225', '1700286', '1701010', '1701170', '1700285', '1701321', '1701325', '1701326', '1701323', '1700750', '1701328', '1701327', '1700292', '1700281', '1700280', '1701120', '1700301', '1700922', '1701121', '1700487', '1700480', '1700479', '1700478', '1700477', '1700430', '1700431', '1701157', '1700449', '1700419', '1700465', '1700418', '1701034', '1701194', '1700417', '1700629', '1701394', '1700653', '1700631', '1700415', '1701267', '1701265', '1701291', '1700899', '1700919', '1701607', '1700411', '1700792', '1700624', '1700635', '1700434', '1701056', '1701063', '1701062', '1700651', '1700803', '0000580', '1800373', '1800287', '1800698', '1800697', '1800699', '1800700', '1800377', '1800404', '1800710', '1800709', '1800708', '1800705', '1800706', '1800396', '1800237', '1800228', '1800227', '1800226', '1800474', '1800475', '1800280', '1800416', '1800185', '1800195', '1800200', '1800317', '1800201', '1800145', '1800144', '1800146', '1800167', '1800461', '1800162', '1800460', '1800653', '1800651', '1800652', '1800513', '1800512', '1800511', '1800328', '1800100', '1800577', '1800095', '1800560', '1800096', '1800492', '1800746', '1800744', '1800070', '1800743', '1800069', '0000013', '3901034', '3900294', '3900813', '3900814', '3900526', '3900527', '3900290', '3900293', '3900896', '3900528', '0000183', '2100102', '2100259', '2100101', '2100296', '2100328', '2100321', '2100094', '2100093', '2100092', '2100088', '2100291', '2100398', '2100162', '2100322', '2100246', '2100184', '2100051', '2100186', '2100385', '2100384', '2100383', '2100381', '2100382', '2100053', '2100055', '2100160', '2100059', '2100216', '2100060', '2100158', '2100065', '2100064', '2100152', '2100156', '0000025', '5100179', '5100126', '5100128', '5100122', '5100121', '5100269', '5100384', '5100061', '5100385', '5100062', '5100436', '0000568', '4700230', '4700231', '4700101', '4700302', '4700143', '4700410', '4700141', '4700144', '0000200', '3700359', '3700082', '3700375', '3700126', '3700376', '3700127', '3700224', '3700091', '3700225', '3700125', '3700144', '3700077', '3700075', '3700076', '3700004', '3700256', '3700258', '3700421'] +The length of the whole path 381 +['Los Angeles', 'Chicago', 'Charlotte'] +Tri-A star Path Cost: 2760.516003492685 +Tri-directional search duration: 22.166738271713257 + + ----jGRASP: operation complete. +''' \ No newline at end of file diff --git a/Unit 1/Umaretiya_r_lab_0.py b/Unit 1/Umaretiya_r_lab_0.py new file mode 100644 index 0000000..b389a0c --- /dev/null +++ b/Unit 1/Umaretiya_r_lab_0.py @@ -0,0 +1,138 @@ +# Name: Rushil Umaretiya +# Date: 09/18/2020 + +# Each Vertex object will have attributes to store its own name and its list of its neighboring vertices. +class Vertex: + def __init__(self, name, vertices): + self.name = name + self.vertices = vertices + + def __str__(self): + return f'{self.name} {self.vertices}' + + def __repr__(self): + return str(self.name) + + +# If the file exists, read all edges and build a graph. It returns a list of Vertexes. +def build_graph(filename): + try: + file = open(filename, 'r') + except: + return [] + + lines = file.read().strip().splitlines() + vertices = [] + + # Sorry about this solution Ms. Kim, it's not very efficient, but it makes sense. + + # Create all the source verticies + for line in lines: + line = line.strip().split() + for vertex in vertices: + if vertex.name == line[0]: + break + else: + vertices.append(Vertex(line[0], [])) + + # Create all the ending verticies + for line in lines: + line = line.strip().split() + for vertex in vertices: + if vertex.name == line[1]: + break + else: + vertices.append(Vertex(line[1], [])) + + # Link them! + for line in lines: + line = line.strip().split() + source, end = None, None + for vertex in vertices: + if vertex.name == line[0]: + source = vertex + if vertex.name == line[1]: + end = vertex + if source != None and end != None: + break + + source.vertices.append(end) + + return vertices + +# prints all vertices and adjacent lists of the given graph. +def display_graph(graph): + for vertex in graph: + print (vertex) + +# checks if two Vertexes are reachable or not. +def is_reachable(fromV, toV, graph): + visited = [] + Q = [fromV] + + while len(Q) > 0: + state = Q.pop(0) + + if state not in visited: + if state == toV: + return True + + visited.append(state) + neighbours = state.vertices + + for neighbour in neighbours: + Q.append(neighbour) + + return False + +# returns the length of the path from a Vertex to the other Vertex. +# If the other Vertex is not reachable, return -1. (Ex) Path cost of A to B to C is 2. +def path_cost(fromV, toV, graph): + if fromV == toV: + return 0 + + if not is_reachable(fromV, toV, graph): + return -1 + + visited = [] + Q = [fromV] + + while len(Q) > 0: + state = Q.pop(0) + if state not in visited: + if state == toV: + return len(visited) + + visited.append(state) + neighbours = state.vertices + + for neighbour in neighbours: + Q.append(neighbour) + +# Test cases +g = build_graph(input("filename: ")) # build a graph + +# To check if you build the graph with object correctly +for v in g: + print (v, v.vertices) + +display_graph(g) # display the graph (edge list) +fromV, toV = None, None +print ("If you want to stop checking, type -1 for vertex values") +fromV_val, toV_val = input("From vertex value: "), input("To vertex value: ") # Get vertex values from user + +while fromV_val != '-1': + # Find from and to Vertexes at graph + for v in g: + if v.name == fromV_val: fromV = v + if v.name == toV_val: toV = v + + if fromV is None or toV is None: + print ("One or more vertex value does not exist.") + else: + print ("From {} to {} is reachable?".format(fromV_val, toV_val), is_reachable(fromV, toV, g)) + print ("Path cost from {} to {} is".format(fromV_val, toV_val), path_cost(fromV, toV, g)) + + # Reset to test another case + fromV_val, toV_val = input("\nFrom vertex value: "), input("To vertex value: ") + fromV, toV = None, None diff --git a/Unit 1/day2notes.PDF b/Unit 1/day2notes.PDF new file mode 100644 index 0000000..64c7a53 Binary files /dev/null and b/Unit 1/day2notes.PDF differ diff --git a/Unit 1/graph.txt b/Unit 1/graph.txt new file mode 100644 index 0000000..199ab49 --- /dev/null +++ b/Unit 1/graph.txt @@ -0,0 +1,6 @@ +A C +B A +C C +C D +D C +D A \ No newline at end of file diff --git a/Unit 1/rrEdges.txt b/Unit 1/rrEdges.txt new file mode 100644 index 0000000..6214d55 --- /dev/null +++ b/Unit 1/rrEdges.txt @@ -0,0 +1,25261 @@ +0100003 0100004 +0100005 0100448 +0100007 0100008 +0100008 0000459 +0100009 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2/Umaretiya_r_U2_L1.py b/Unit 2/Umaretiya_r_U2_L1.py new file mode 100644 index 0000000..9ad1106 --- /dev/null +++ b/Unit 2/Umaretiya_r_U2_L1.py @@ -0,0 +1,135 @@ +# Name: Rushil Umaretiya +# Period: 1 + +from tkinter import * +from graphics import * +import random + +def check_complete(assignment, vars, adjs): + # check if assignment is complete or not. Goal_Test + for i in vars: + if i not in assignment: return False + + for assigned in assignment: + if assigned in adjs: + for adj in adjs[assigned]: + if assignment[assigned] == assignment[adj]: return False + + return True + +def select_unassigned_var(assignment, vars, adjs): + # Select an unassigned variable - forward checking, MRV, or LCV + var, low = '', 999999 + for i in vars: + if len(vars[i]) < low and len(vars[i]) > 0: + var = i + low = len(vars[i]) + + + return var if var != '' else None + + +def isValid(value, var, assignment, vars, adjs): + # value is consistent with assignment + # check adjacents to check 'var' is working or not. + + if var not in adjs: return True + + for adj in adjs[var]: + if adj in assignment and value in assignment[adj]: return False + + return True + +def backtracking_search(variables, adjs, shapes, frame): + return recursive_backtracking({}, variables, adjs, shapes, frame) + +def recursive_backtracking(assignment, vars, adjs, shapes, frame): + # Refer the pseudo code given in class. + if check_complete(assignment, vars, adjs): + draw_final_shapes(assignment, shapes, frame) + return assignment + + var = select_unassigned_var(assignment, vars, adjs) + + for value in vars[var]: + if isValid(value, var, assignment, vars, adjs): + assignment[var] = value + new_vars = dict(vars) + new_vars[var] = {} + if var in adjs: + for i in adjs[var]: + if value in new_vars[i]: new_vars[i].remove(value) + result = recursive_backtracking(assignment, new_vars, adjs, shapes, frame) + if result != None: return result + assignment.pop(var) + + return None + + +def draw_final_shapes(assignment, shapes, frame): + for node in assignment: + draw_shape(shapes[node], frame, assignment[node]) + + +# return shapes as {region:[points], ...} form +def read_shape(filename): + infile = open(filename) + region, points, shapes = "", [], {} + for line in infile.readlines(): + line = line.strip() + if line.isalpha(): + if region != "": shapes[region] = points + region, points = line, [] + else: + x, y = line.split(" ") + points.append(Point(int(x), 300-int(y))) + shapes[region] = points + return shapes + +# fill the shape +def draw_shape(points, frame, color): + shape = Polygon(points) + shape.setFill(color) + shape.setOutline("black") + shape.draw(frame) + space = [x for x in range(9999999)] # give some pause + +def main(): + regions, vars, adjacents = [], {}, {} + # Read mcNodes.txt and store all regions in regions list + for line in open('mcNodes.txt', 'r'): regions.append(line.strip()) + + + # Fill variables by using regions list -- no additional code for this part + for r in regions: vars[r] = {'red', 'green', 'blue'} + + # Read mcEdges.txt and fill the adjacents. Edges are bi-directional. + for line in open('mcEdges.txt', 'r'): + line = line.strip().split() + if line[0] not in adjacents: adjacents[line[0]] = [line[1]] + else: adjacents[line[0]].append(line[1]) + + if line[1] not in adjacents: adjacents[line[1]] = [line[0]] + else: adjacents[line[1]].append(line[0]) + + + # Set graphics -- no additional code for this part + frame = GraphWin('Map', 300, 300) + frame.setCoords(0, 0, 299, 299) + shapes = read_shape("mcPoints.txt") + for s, points in shapes.items(): + draw_shape(points, frame, 'white') + + # solve the map coloring problem by using backtracking_search -- no additional code for this part + solution = backtracking_search(vars, adjacents, shapes, frame) + print (solution) + + mainloop() + +if __name__ == '__main__': + main() + +''' Sample output: +{'WA': 'red', 'NT': 'green', 'SA': 'blue', 'Q': 'red', 'NSW': 'green', 'V': 'red', 'T': 'red'} +By using graphics functions, visualize the map. +''' \ No newline at end of file diff --git a/Unit 2/Umaretiya_r_U2_L2.py b/Unit 2/Umaretiya_r_U2_L2.py new file mode 100644 index 0000000..8085e17 --- /dev/null +++ b/Unit 2/Umaretiya_r_U2_L2.py @@ -0,0 +1,87 @@ +# Name: Rushil Umaretiya +# Date: 11/12/2020 + +import time + +def check_complete(assignment, csp_table): + if assignment.find('.') != -1: return False + for hexa in csp_table: + if len(set([assignment[i] for i in hexa])) != 6: return False + return True + +def select_unassigned_var(assignment, csp_table): + if '.' in assignment: return assignment.find('.') + else: return None + +def isValid(value, var_index, assignment, csp_table): + csp_indexes = [i for i in range(len(csp_table)) if var_index in csp_table[i]] + for index in csp_indexes: + hex = csp_table[index] + for i in hex: + if i != var_index and assignment[i] == str(value): return False + + return True + +def backtracking_search(input, csp_table): + return recursive_backtracking(input, csp_table) + +def recursive_backtracking(assignment, csp_table): + if check_complete(assignment, csp_table): return assignment + + var = select_unassigned_var(assignment, csp_table) + + for value in range(1, 7): + if isValid(value, var, assignment, csp_table): + assignment = assignment[:var] + str(value) + assignment[var + 1:] + result = recursive_backtracking(assignment, csp_table) + if result != None: return result + assignment = assignment[:var] + '.' + assignment[var + 1:] + + return None + +def display(solution): + result = "" + for i in range(len(solution)): + if i == 0: result += " " + if i == 5: result += "\n" + if i == 12: result += "\n" + if i == 19: result += "\n " + result += solution[i] + " " + return result + +def main(): + csp_table = [[0, 1, 2, 6, 7, 8], [2, 3, 4, 8, 9, 10], [5, 6, 7, 12, 13, 14], [7, 8, 9, 14, 15, 16], [9, 10, 11, 16, 17, 18], [13, 14, 15, 19, 20, 21], [15, 16, 17, 21, 22, 23]] + string = input("24-char(. and 1-6) input: ") + cur_time = time.time() + solution = backtracking_search(string, csp_table) + if solution != None: + print (display(solution)) + print ('\n'+ solution) + print (check_complete(solution, csp_table)) + print ('Duration:', (time.time() - cur_time)) + else: print ("It's not solvable.") + +if __name__ == '__main__': + main() + +""" +Sample Output 1: +24-char(. and 1-6) input: ........................ + 1 2 3 1 2 +1 4 5 6 4 5 1 +2 6 3 1 2 3 6 + 2 4 5 4 6 + +123121456451263123624546 +True + +Sample Output 2: +24-char(. and 1-6) input: 6.....34...1.....2..4... + 6 1 2 1 3 +1 3 4 5 6 4 1 +5 6 2 1 3 2 5 + 3 4 5 4 6 + +612131345641562132534546 +True +""" \ No newline at end of file diff --git a/Unit 2/Umaretiya_r_U2_L3.py b/Unit 2/Umaretiya_r_U2_L3.py new file mode 100644 index 0000000..ed1b804 --- /dev/null +++ b/Unit 2/Umaretiya_r_U2_L3.py @@ -0,0 +1,160 @@ +# Name: Rushil Umaretiya +# Date: 11/17/20 + +import time +import copy as cp + +def check_complete(assignment, csp_table): + if assignment.find('.') != -1: return False + for area in csp_table: + if len(set([assignment[i] for i in area])) != 9: return False + return True + +def select_unassigned_var(assignment, variables, csp_table): + min_val, index = 9999, -1 + for i in range(len(assignment)): + if assignment[i] == '.' and len(variables[i]) < min_val: + min_val = len(variables[i]) + index = i + return index + +def isValid(value, var_index, assignment, variables, csp_table): + csp_indexes = [i for i in range(len(csp_table)) if var_index in csp_table[i]] + for index in csp_indexes: + for i in csp_table[index]: + if i != var_index and assignment[i] == str(value): + return False + + return True + +def ordered_domain(assignment, variables, csp_table): + return [x for _,x in sorted(zip([assignment.count(str(i)) for i in range(1, 10)],list(range(1,10))), reverse=True)] + +def update_variables(value, var_index, assignment, variables, csp_table): + updated = cp.deepcopy(variables) + csp_indexes = [i for i in range(len(csp_table)) if var_index in csp_table[i]] + for index in csp_indexes: + constraint_area = csp_table[index] + for i in constraint_area: + if i != var_index and i in updated and value in updated[i]: + updated[i].remove(value) + return updated + +def backtracking_search(puzzle, variables, csp_table): + return recursive_backtracking(puzzle, variables, csp_table) + +def recursive_backtracking(assignment, variables, csp_table): + if check_complete(assignment, csp_table): + return assignment + + var = select_unassigned_var(assignment, variables, csp_table) + + for value in ordered_domain(assignment, variables, csp_table): + if value in variables[var] and isValid(value, var, assignment, variables, csp_table): + assignment = assignment[:var] + str(value) + assignment[var + 1:] + copy = update_variables(value, var, assignment, variables, csp_table) + #copy = cp.deepcopy(variables) + result = recursive_backtracking(assignment, copy, csp_table) + if result != None: return result + assignment = assignment[:var] + '.' + assignment[var + 1:] + + return None + +def display(solution): + string = "" + for i in range(9): + for j in range(9): + string += solution[(i*9)+j] + " " + if j == 2 or j == 5: + string += " " + string += '\n' + if i == 2 or i == 5: + string +='\n' + return string + +def sudoku_csp(): + table, square, col, row = [], [0,1,2,9,10,11,18,19,20], [0,9,18,27,36,45,54,63,72], list(range(9)) + for i in range(9): + table.append([index+(i*3)+((i//3)*18) for index in square]) + table.append([index+i for index in col]) + table.append([index+(i*9) for index in row]) + return table + +def initial_variables(puzzle, csp_table): + vars = {} + for i in range(len(puzzle)): + if puzzle[i] == '.': + vars[i] = list(range(1,10)) + + return constrain_init(vars, puzzle, csp_table) + +def constrain_init (vars, puzzle, csp_table): + updated = dict(vars) + for var_index in range(len(puzzle)): + if puzzle[var_index] != '.': + updated = update_variables(int(puzzle[var_index]), var_index, puzzle, vars, csp_table) + + return updated + +def main(): + #puzzle = input("Type a 81-char string:") + #puzzle = ".21.7...63.9...5.......1...13...8....84...9....6...34......6.87.....36..7...8..9." + #puzzle = "4.....3.....8.2......7........1...8734.......6........5...6........1.4...82......" + #puzzle = "4.....8.5.3..........7......2.....6.....8.4......1.......6.3.7.5..2.....1.4......" + puzzle = "3..........5..9...2..5.4....2....7..16.....587.431.6.....89.1......67.8......5437" + while len(puzzle) != 81: + print ("Invalid puzzle") + puzzle = input("Type a 81-char string: ") + csp_table = sudoku_csp() + variables = initial_variables(puzzle, csp_table) + print ("Initial:\n" + display(puzzle)) + start_time = time.time() + #import cProfile + #cProfile.runctx('g(puzzle, variables, csp_table)', {'g': backtracking_search, 'puzzle': puzzle, 'variables': variables, 'csp_table': csp_table}, {}) + solution = backtracking_search(puzzle,variables,csp_table) + if solution != None: print ("solution\n + display(solution)" + display(solution)) + else: print ("No solution found.\n") + print ("Duration:", (time.time() - start_time)) + +if __name__ == '__main__': main() + +""" +..7369825632158947958724316825437169791586432346912758289643571573291684164875293 +4 1 7 3 6 9 8 2 5 +6 3 2 1 5 8 9 4 7 +9 5 8 7 2 4 3 1 6 + +8 2 5 4 3 7 1 6 9 +7 9 1 5 8 6 4 3 2 +3 4 6 9 1 2 7 5 8 + +2 8 9 6 4 3 5 7 1 +5 7 3 2 9 1 6 8 4 +1 6 4 8 7 5 2 9 3 + +.3..5..4...8.1.5..46.....12.7.5.2.8....6.3....4.1.9.3.25.....98..1.2.6...8..6..2. +1 3 7 2 5 6 8 4 9 +9 2 8 3 1 4 5 6 7 +4 6 5 8 9 7 3 1 2 + +6 7 3 5 4 2 9 8 1 +8 1 9 6 7 3 2 5 4 +5 4 2 1 8 9 7 3 6 + +2 5 6 7 3 1 4 9 8 +3 9 1 4 2 8 6 7 5 +7 8 4 9 6 5 1 2 3 + +....8....27.....54.95...81...98.64...2.4.3.6...69.51...17...62.46.....38....9.... +1 3 4 5 8 7 2 9 6 +2 7 8 1 6 9 3 5 4 +6 9 5 2 3 4 8 1 7 + +3 5 9 8 1 6 4 7 2 +8 2 1 4 7 3 5 6 9 +7 4 6 9 2 5 1 8 3 + +9 1 7 3 4 8 6 2 5 +4 6 2 7 5 1 9 3 8 +5 8 3 6 9 2 7 4 1 +""" \ No newline at end of file diff --git a/Unit 2/Umaretiya_r_U2_L4.py b/Unit 2/Umaretiya_r_U2_L4.py new file mode 100644 index 0000000..134d776 --- /dev/null +++ b/Unit 2/Umaretiya_r_U2_L4.py @@ -0,0 +1,124 @@ +# Name: Rushil Umaretiya +# Date: 12/1/2020 +import os, time, operator, copy + +def solve(puzzle, neighbors): + ''' suggestion: + # q_table is quantity table {'1': number of value '1' occurred, ...} + variables, puzzle, q_table = initialize_ds(puzzle, neighbors) + return recursive_backtracking(puzzle, variables, neighbors, q_table) + ''' + variables, puzzle, q_table = initialize_ds(puzzle, neighbors) + return recursive_backtracking(puzzle, variables, neighbors, q_table) + +def initialize_ds(puzzle, neighbors): + vars = {} + q_table = {x: 0 for x in range(1, 10)} + for i in range(len(puzzle)): + if puzzle[i] == '.': + vars[i] = list(range(1,10)) + else: + q_table[int(puzzle[i])] += 1 + + return vars, puzzle, q_table + +def recursive_backtracking(puzzle, variables, neighbors, q_table): + if check_complete(puzzle, neighbors, q_table): return puzzle + + var = select_unassigned_var(puzzle, variables, neighbors) + + #for value in [x for _,x in sorted(zip([puzzle.count(str(i)) for i in range(1, 10)],list(range(1,10))), reverse=True)]: + for quantity in sorted(q_table.items(), key=operator.itemgetter(1), reverse=True): + value = quantity[0] + if value in variables[var] and isValid(value, var, puzzle, neighbors): + puzzle = puzzle[:var] + str(value) + puzzle[var + 1:] + copy = update_variables(value, var, puzzle, variables, neighbors) + #copy = {k: list(variables[k]) for k in variables} + q_table[value] += 1 + result = recursive_backtracking(puzzle, copy, neighbors, q_table) + if result != None: return result + puzzle = puzzle[:var] + '.' + puzzle[var + 1:] + q_table[value] -= 1 + +def check_complete(puzzle, neighbors, q_table): + if puzzle.find('.') != -1: return False + for index in range(len(puzzle)): + for neighbor in neighbors[index]: + if puzzle[index] == puzzle[neighbor]: return False + return True + +def select_unassigned_var(assignment, variables, csp_table): + min_val, index = 9999, -1 + for i in range(len(assignment)): + if assignment[i] == '.': + if len(variables[i]) < min_val: + min_val = len(variables[i]) + index = i + return index + +def isValid(value, var_index, puzzle, neighbors): + for i in neighbors[var_index]: + if puzzle[i] == str(value): + return False + + return True + +def update_variables(value, var_index, puzzle, variables, neighbors): + updated = {k: list(variables[k]) for k in variables} + + for i in neighbors[var_index]: + if i in updated and value in updated[i]: + updated[i].remove(value) + + return updated + +def sudoku_neighbors(csp_table): + # each position p has its neighbors {p:[positions in same row/col/subblock], ...} + neighbors = {} + for i in range(81): + temp = [] + for constraint in csp_table: + if i in constraint: + removed = list(constraint) + removed.remove(i) + temp += removed + neighbors[i] = set(temp) + + return neighbors + +def sudoku_csp(n=9): + csp_table = [[k for k in range(i*n, (i+1)*n)] for i in range(n)] # rows + csp_table += [[k for k in range(i,n*n,n)] for i in range(n)] # cols + temp = [0, 1, 2, 9, 10, 11, 18, 19, 20] + csp_table += [[i+k for k in temp] for i in [0, 3, 6, 27, 30, 33, 54, 57, 60]] # sub_blocks + return csp_table + +def checksum(solution): + return sum([ord(c) for c in solution]) - 48*81 # One easy way to check a valid solution + +def main(): + #filename = input("file name: ") + filename = "" + if not os.path.isfile(filename): + filename = "puzzles.txt" + csp_table = sudoku_csp() # rows, cols, and sub_blocks + neighbors = sudoku_neighbors(csp_table) # each position p has its neighbors {p:[positions in same row/col/subblock], ...} + start_time = time.time() + for line, puzzle in enumerate(open(filename).readlines()): + #if line == 50: break # check point: goal is less than 0.5 sec + line, puzzle = line+1, puzzle.rstrip() + print ("Line {}: {}".format(line, puzzle)) + solution = solve(puzzle, neighbors) + if solution == None:print ("No solution found."); break + print ("{}({}, {})".format(" "*(len(str(line))+1), checksum(solution), solution)) + print ("Duration:", (time.time() - start_time)) + +if __name__ == '__main__': main() + +""" +26.63564682006836 + + +""" + + diff --git a/Unit 2/Umaretiya_r_U2_L4_ver2.py b/Unit 2/Umaretiya_r_U2_L4_ver2.py new file mode 100644 index 0000000..318a1ee --- /dev/null +++ b/Unit 2/Umaretiya_r_U2_L4_ver2.py @@ -0,0 +1,126 @@ +# Name: Rushil Umaretiya +# Date: 12/1/2020 +import os, time, operator, copy + +def solve(puzzle, neighbors): + ''' suggestion: + # q_table is quantity table {'1': number of value '1' occurred, ...} + variables, puzzle, q_table = initialize_ds(puzzle, neighbors) + return recursive_backtracking(puzzle, variables, neighbors, q_table) + ''' + variables, puzzle, q_table = initialize_ds(puzzle, neighbors) + return recursive_backtracking(puzzle, variables, neighbors, q_table) + +def initialize_ds(puzzle, neighbors): + vars = {} + q_table = {x: 0 for x in range(1, 10)} + for i in range(len(puzzle)): + if puzzle[i] == '.': + vars[i] = list(range(1,10)) + else: + q_table[int(puzzle[i])] += 1 + + return vars, puzzle, q_table + +def recursive_backtracking(puzzle, variables, neighbors, q_table): + if check_complete(puzzle, neighbors, variables): return puzzle + + var = select_unassigned_var(puzzle, variables, neighbors) + + for value in ordered_domain(var, variables, q_table): + if q_table[value] < 9 and isValid(value, var, puzzle, neighbors): + puzzle = puzzle[:var] + str(value) + puzzle[var + 1:] + q_table[value] += 1 + result = recursive_backtracking(puzzle, update_variables(value, var, puzzle, variables, neighbors), neighbors, q_table) + if result != None: return result + puzzle = puzzle[:var] + '.' + puzzle[var + 1:] + q_table[value] -= 1 + +def ordered_domain(var, variables, q_table): + return sorted(variables[var], key=lambda k: q_table[k], reverse=True) + +def check_complete(puzzle, neighbors, variables): + if len(variables) != 0: return False + for index in range(len(puzzle)): + for neighbor in neighbors[index]: + if puzzle[index] == puzzle[neighbor]: return False + return True + +def select_unassigned_var(puzzle, variables, neighbors): + min, index = 9999, -1 + for i in variables: + if min > len(variables[i]): + min = len(variables[i]) + index = i + return index + + #return min(variables, key=lambda k: len(variables[k])) + +def isValid(value, var_index, puzzle, neighbors): + value_string = str(value) + for i in neighbors[var_index]: + if puzzle[i] == value_string: + return False + + return True + +def update_variables(value, var_index, puzzle, variables, neighbors): + updated = {k: list(variables[k]) for k in variables} + del updated[var_index] + + for i in neighbors[var_index]: + if i in updated and value in updated[i]: + updated[i].remove(value) + + return updated + +def sudoku_neighbors(csp_table): + # each position p has its neighbors {p:[positions in same row/col/subblock], ...} + neighbors = {} + for i in range(81): + temp = [] + for constraint in csp_table: + if i in constraint: + removed = list(constraint) + removed.remove(i) + temp += removed + neighbors[i] = set(temp) + + return neighbors + +def sudoku_csp(n=9): + csp_table = [[k for k in range(i*n, (i+1)*n)] for i in range(n)] # rows + csp_table += [[k for k in range(i,n*n,n)] for i in range(n)] # cols + temp = [0, 1, 2, 9, 10, 11, 18, 19, 20] + csp_table += [[i+k for k in temp] for i in [0, 3, 6, 27, 30, 33, 54, 57, 60]] # sub_blocks + return csp_table + +def checksum(solution): + return sum([ord(c) for c in solution]) - 48*81 # One easy way to check a valid solution + +def main(): + #filename = input("file name: ") + filename = "" + if not os.path.isfile(filename): + filename = "puzzles.txt" + csp_table = sudoku_csp() # rows, cols, and sub_blocks + neighbors = sudoku_neighbors(csp_table) # each position p has its neighbors {p:[positions in same row/col/subblock], ...} + start_time = time.time() + + + puzzle = "4.....8.5.3..........7......2.....6.....8.4......1.......6.3.7.5..2.....1.4......" + import cProfile + cProfile.runctx('g(puzzle, neighbors)', {'g': solve, 'puzzle': puzzle, 'neighbors': neighbors}, {}) + + """ + for line, puzzle in enumerate(open(filename).readlines()): + # if line == 50: break # check point: goal is less than 0.5 sec + line, puzzle = line+1, puzzle.rstrip() + print ("Line {}: {}".format(line, puzzle)) + solution = solve(puzzle, neighbors) + if solution == None:print ("No solution found."); break + print ("{}({}, {})".format(" "*(len(str(line))+1), checksum(solution), solution)) + """ + print ("Duration:", (time.time() - start_time)) + +if __name__ == '__main__': main() \ No newline at end of file diff --git a/Unit 2/graphics.py b/Unit 2/graphics.py new file mode 100644 index 0000000..a626141 --- /dev/null +++ b/Unit 2/graphics.py @@ -0,0 +1,1015 @@ +# graphics.py +"""Simple object oriented graphics library + +The library is designed to make it very easy for novice programmers to +experiment with computer graphics in an object oriented fashion. It is +written by John Zelle for use with the book "Python Programming: An +Introduction to Computer Science" (Franklin, Beedle & Associates). + +LICENSE: This is open-source software released under the terms of the +GPL (http://www.gnu.org/licenses/gpl.html). + +PLATFORMS: The package is a wrapper around Tkinter and should run on +any platform where Tkinter is available. + +INSTALLATION: Put this file somewhere where Python can see it. + +OVERVIEW: There are two kinds of objects in the library. The GraphWin +class implements a window where drawing can be done and various +GraphicsObjects are provided that can be drawn into a GraphWin. As a +simple example, here is a complete program to draw a circle of radius +10 centered in a 100x100 window: + +-------------------------------------------------------------------- +from graphics import * + +def main(): + win = GraphWin("My Circle", 100, 100) + c = Circle(Point(50,50), 10) + c.draw(win) + win.getMouse() # Pause to view result + win.close() # Close window when done + +main() +-------------------------------------------------------------------- +GraphWin objects support coordinate transformation through the +setCoords method and mouse and keyboard interaction methods. + +The library provides the following graphical objects: + Point + Line + Circle + Oval + Rectangle + Polygon + Text + Entry (for text-based input) + Image + +Various attributes of graphical objects can be set such as +outline-color, fill-color and line-width. Graphical objects also +support moving and hiding for animation effects. + +The library also provides a very simple class for pixel-based image +manipulation, Pixmap. A pixmap can be loaded from a file and displayed +using an Image object. Both getPixel and setPixel methods are provided +for manipulating the image. + +DOCUMENTATION: For complete documentation, see Chapter 4 of "Python +Programming: An Introduction to Computer Science" by John Zelle, +published by Franklin, Beedle & Associates. Also see +http://mcsp.wartburg.edu/zelle/python for a quick reference""" + +__version__ = "5.0" + +# Version 5 8/26/2016 +# * update at bottom to fix MacOS issue causing askopenfile() to hang +# * update takes an optional parameter specifying update rate +# * Entry objects get focus when drawn +# * __repr_ for all objects +# * fixed offset problem in window, made canvas borderless + +# Version 4.3 4/25/2014 +# * Fixed Image getPixel to work with Python 3.4, TK 8.6 (tuple type handling) +# * Added interactive keyboard input (getKey and checkKey) to GraphWin +# * Modified setCoords to cause redraw of current objects, thus +# changing the view. This supports scrolling around via setCoords. +# +# Version 4.2 5/26/2011 +# * Modified Image to allow multiple undraws like other GraphicsObjects +# Version 4.1 12/29/2009 +# * Merged Pixmap and Image class. Old Pixmap removed, use Image. +# Version 4.0.1 10/08/2009 +# * Modified the autoflush on GraphWin to default to True +# * Autoflush check on close, setBackground +# * Fixed getMouse to flush pending clicks at entry +# Version 4.0 08/2009 +# * Reverted to non-threaded version. The advantages (robustness, +# efficiency, ability to use with other Tk code, etc.) outweigh +# the disadvantage that interactive use with IDLE is slightly more +# cumbersome. +# * Modified to run in either Python 2.x or 3.x (same file). +# * Added Image.getPixmap() +# * Added update() -- stand alone function to cause any pending +# graphics changes to display. +# +# Version 3.4 10/16/07 +# Fixed GraphicsError to avoid "exploded" error messages. +# Version 3.3 8/8/06 +# Added checkMouse method to GraphWin +# Version 3.2.3 +# Fixed error in Polygon init spotted by Andrew Harrington +# Fixed improper threading in Image constructor +# Version 3.2.2 5/30/05 +# Cleaned up handling of exceptions in Tk thread. The graphics package +# now raises an exception if attempt is made to communicate with +# a dead Tk thread. +# Version 3.2.1 5/22/05 +# Added shutdown function for tk thread to eliminate race-condition +# error "chatter" when main thread terminates +# Renamed various private globals with _ +# Version 3.2 5/4/05 +# Added Pixmap object for simple image manipulation. +# Version 3.1 4/13/05 +# Improved the Tk thread communication so that most Tk calls +# do not have to wait for synchonization with the Tk thread. +# (see _tkCall and _tkExec) +# Version 3.0 12/30/04 +# Implemented Tk event loop in separate thread. Should now work +# interactively with IDLE. Undocumented autoflush feature is +# no longer necessary. Its default is now False (off). It may +# be removed in a future version. +# Better handling of errors regarding operations on windows that +# have been closed. +# Addition of an isClosed method to GraphWindow class. + +# Version 2.2 8/26/04 +# Fixed cloning bug reported by Joseph Oldham. +# Now implements deep copy of config info. +# Version 2.1 1/15/04 +# Added autoflush option to GraphWin. When True (default) updates on +# the window are done after each action. This makes some graphics +# intensive programs sluggish. Turning off autoflush causes updates +# to happen during idle periods or when flush is called. +# Version 2.0 +# Updated Documentation +# Made Polygon accept a list of Points in constructor +# Made all drawing functions call TK update for easier animations +# and to make the overall package work better with +# Python 2.3 and IDLE 1.0 under Windows (still some issues). +# Removed vestigial turtle graphics. +# Added ability to configure font for Entry objects (analogous to Text) +# Added setTextColor for Text as an alias of setFill +# Changed to class-style exceptions +# Fixed cloning of Text objects + +# Version 1.6 +# Fixed Entry so StringVar uses _root as master, solves weird +# interaction with shell in Idle +# Fixed bug in setCoords. X and Y coordinates can increase in +# "non-intuitive" direction. +# Tweaked wm_protocol so window is not resizable and kill box closes. + +# Version 1.5 +# Fixed bug in Entry. Can now define entry before creating a +# GraphWin. All GraphWins are now toplevel windows and share +# a fixed root (called _root). + +# Version 1.4 +# Fixed Garbage collection of Tkinter images bug. +# Added ability to set text atttributes. +# Added Entry boxes. + +import time, os, sys + +try: # import as appropriate for 2.x vs. 3.x + import tkinter as tk +except: + import Tkinter as tk + + +########################################################################## +# Module Exceptions + +class GraphicsError(Exception): + """Generic error class for graphics module exceptions.""" + pass + +OBJ_ALREADY_DRAWN = "Object currently drawn" +UNSUPPORTED_METHOD = "Object doesn't support operation" +BAD_OPTION = "Illegal option value" + +########################################################################## +# global variables and funtions + +_root = tk.Tk() +_root.withdraw() + +_update_lasttime = time.time() + +def update(rate=None): + global _update_lasttime + if rate: + now = time.time() + pauseLength = 1/rate-(now-_update_lasttime) + if pauseLength > 0: + time.sleep(pauseLength) + _update_lasttime = now + pauseLength + else: + _update_lasttime = now + + _root.update() + +############################################################################ +# Graphics classes start here + +class GraphWin(tk.Canvas): + + """A GraphWin is a toplevel window for displaying graphics.""" + + def __init__(self, title="Graphics Window", + width=200, height=200, autoflush=True): + assert type(title) == type(""), "Title must be a string" + master = tk.Toplevel(_root) + master.protocol("WM_DELETE_WINDOW", self.close) + tk.Canvas.__init__(self, master, width=width, height=height, + highlightthickness=0, bd=0) + self.master.title(title) + self.pack() + master.resizable(0,0) + self.foreground = "black" + self.items = [] + self.mouseX = None + self.mouseY = None + self.bind("", self._onClick) + self.bind_all("", self._onKey) + self.height = int(height) + self.width = int(width) + self.autoflush = autoflush + self._mouseCallback = None + self.trans = None + self.closed = False + master.lift() + self.lastKey = "" + if autoflush: _root.update() + + def __repr__(self): + if self.isClosed(): + return "" + else: + return "GraphWin('{}', {}, {})".format(self.master.title(), + self.getWidth(), + self.getHeight()) + + def __str__(self): + return repr(self) + + def __checkOpen(self): + if self.closed: + raise GraphicsError("window is closed") + + def _onKey(self, evnt): + self.lastKey = evnt.keysym + + + def setBackground(self, color): + """Set background color of the window""" + self.__checkOpen() + self.config(bg=color) + self.__autoflush() + + def setCoords(self, x1, y1, x2, y2): + """Set coordinates of window to run from (x1,y1) in the + lower-left corner to (x2,y2) in the upper-right corner.""" + self.trans = Transform(self.width, self.height, x1, y1, x2, y2) + self.redraw() + + def close(self): + """Close the window""" + + if self.closed: return + self.closed = True + self.master.destroy() + self.__autoflush() + + + def isClosed(self): + return self.closed + + + def isOpen(self): + return not self.closed + + + def __autoflush(self): + if self.autoflush: + _root.update() + + + def plot(self, x, y, color="black"): + """Set pixel (x,y) to the given color""" + self.__checkOpen() + xs,ys = self.toScreen(x,y) + self.create_line(xs,ys,xs+1,ys, fill=color) + self.__autoflush() + + def plotPixel(self, x, y, color="black"): + """Set pixel raw (independent of window coordinates) pixel + (x,y) to color""" + self.__checkOpen() + self.create_line(x,y,x+1,y, fill=color) + self.__autoflush() + + def flush(self): + """Update drawing to the window""" + self.__checkOpen() + self.update_idletasks() + + def getMouse(self): + """Wait for mouse click and return Point object representing + the click""" + self.update() # flush any prior clicks + self.mouseX = None + self.mouseY = None + while self.mouseX == None or self.mouseY == None: + self.update() + if self.isClosed(): raise GraphicsError("getMouse in closed window") + time.sleep(.1) # give up thread + x,y = self.toWorld(self.mouseX, self.mouseY) + self.mouseX = None + self.mouseY = None + return Point(x,y) + + def checkMouse(self): + """Return last mouse click or None if mouse has + not been clicked since last call""" + if self.isClosed(): + raise GraphicsError("checkMouse in closed window") + self.update() + if self.mouseX != None and self.mouseY != None: + x,y = self.toWorld(self.mouseX, self.mouseY) + self.mouseX = None + self.mouseY = None + return Point(x,y) + else: + return None + + def getKey(self): + """Wait for user to press a key and return it as a string.""" + self.lastKey = "" + while self.lastKey == "": + self.update() + if self.isClosed(): raise GraphicsError("getKey in closed window") + time.sleep(.1) # give up thread + + key = self.lastKey + self.lastKey = "" + return key + + def checkKey(self): + """Return last key pressed or None if no key pressed since last call""" + if self.isClosed(): + raise GraphicsError("checkKey in closed window") + self.update() + key = self.lastKey + self.lastKey = "" + return key + + def getHeight(self): + """Return the height of the window""" + return self.height + + def getWidth(self): + """Return the width of the window""" + return self.width + + def toScreen(self, x, y): + trans = self.trans + if trans: + return self.trans.screen(x,y) + else: + return x,y + + def toWorld(self, x, y): + trans = self.trans + if trans: + return self.trans.world(x,y) + else: + return x,y + + def setMouseHandler(self, func): + self._mouseCallback = func + + def _onClick(self, e): + self.mouseX = e.x + self.mouseY = e.y + if self._mouseCallback: + self._mouseCallback(Point(e.x, e.y)) + + def addItem(self, item): + self.items.append(item) + + def delItem(self, item): + self.items.remove(item) + + def redraw(self): + for item in self.items[:]: + item.undraw() + item.draw(self) + self.update() + + +class Transform: + + """Internal class for 2-D coordinate transformations""" + + def __init__(self, w, h, xlow, ylow, xhigh, yhigh): + # w, h are width and height of window + # (xlow,ylow) coordinates of lower-left [raw (0,h-1)] + # (xhigh,yhigh) coordinates of upper-right [raw (w-1,0)] + xspan = (xhigh-xlow) + yspan = (yhigh-ylow) + self.xbase = xlow + self.ybase = yhigh + self.xscale = xspan/float(w-1) + self.yscale = yspan/float(h-1) + + def screen(self,x,y): + # Returns x,y in screen (actually window) coordinates + xs = (x-self.xbase) / self.xscale + ys = (self.ybase-y) / self.yscale + return int(xs+0.5),int(ys+0.5) + + def world(self,xs,ys): + # Returns xs,ys in world coordinates + x = xs*self.xscale + self.xbase + y = self.ybase - ys*self.yscale + return x,y + + +# Default values for various item configuration options. Only a subset of +# keys may be present in the configuration dictionary for a given item +DEFAULT_CONFIG = {"fill":"", + "outline":"black", + "width":"1", + "arrow":"none", + "text":"", + "justify":"center", + "font": ("helvetica", 12, "normal")} + +class GraphicsObject: + + """Generic base class for all of the drawable objects""" + # A subclass of GraphicsObject should override _draw and + # and _move methods. + + def __init__(self, options): + # options is a list of strings indicating which options are + # legal for this object. + + # When an object is drawn, canvas is set to the GraphWin(canvas) + # object where it is drawn and id is the TK identifier of the + # drawn shape. + self.canvas = None + self.id = None + + # config is the dictionary of configuration options for the widget. + config = {} + for option in options: + config[option] = DEFAULT_CONFIG[option] + self.config = config + + def setFill(self, color): + """Set interior color to color""" + self._reconfig("fill", color) + + def setOutline(self, color): + """Set outline color to color""" + self._reconfig("outline", color) + + def setWidth(self, width): + """Set line weight to width""" + self._reconfig("width", width) + + def draw(self, graphwin): + + """Draw the object in graphwin, which should be a GraphWin + object. A GraphicsObject may only be drawn into one + window. Raises an error if attempt made to draw an object that + is already visible.""" + + if self.canvas and not self.canvas.isClosed(): raise GraphicsError(OBJ_ALREADY_DRAWN) + if graphwin.isClosed(): raise GraphicsError("Can't draw to closed window") + self.canvas = graphwin + self.id = self._draw(graphwin, self.config) + graphwin.addItem(self) + if graphwin.autoflush: + _root.update() + return self + + + def undraw(self): + + """Undraw the object (i.e. hide it). Returns silently if the + object is not currently drawn.""" + + if not self.canvas: return + if not self.canvas.isClosed(): + self.canvas.delete(self.id) + self.canvas.delItem(self) + if self.canvas.autoflush: + _root.update() + self.canvas = None + self.id = None + + + def move(self, dx, dy): + + """move object dx units in x direction and dy units in y + direction""" + + self._move(dx,dy) + canvas = self.canvas + if canvas and not canvas.isClosed(): + trans = canvas.trans + if trans: + x = dx/ trans.xscale + y = -dy / trans.yscale + else: + x = dx + y = dy + self.canvas.move(self.id, x, y) + if canvas.autoflush: + _root.update() + + def _reconfig(self, option, setting): + # Internal method for changing configuration of the object + # Raises an error if the option does not exist in the config + # dictionary for this object + if option not in self.config: + raise GraphicsError(UNSUPPORTED_METHOD) + options = self.config + options[option] = setting + if self.canvas and not self.canvas.isClosed(): + self.canvas.itemconfig(self.id, options) + if self.canvas.autoflush: + _root.update() + + + def _draw(self, canvas, options): + """draws appropriate figure on canvas with options provided + Returns Tk id of item drawn""" + pass # must override in subclass + + + def _move(self, dx, dy): + """updates internal state of object to move it dx,dy units""" + pass # must override in subclass + + +class Point(GraphicsObject): + def __init__(self, x, y): + GraphicsObject.__init__(self, ["outline", "fill"]) + self.setFill = self.setOutline + self.x = float(x) + self.y = float(y) + + def __repr__(self): + return "Point({}, {})".format(self.x, self.y) + + def _draw(self, canvas, options): + x,y = canvas.toScreen(self.x,self.y) + return canvas.create_rectangle(x,y,x+1,y+1,options) + + def _move(self, dx, dy): + self.x = self.x + dx + self.y = self.y + dy + + def clone(self): + other = Point(self.x,self.y) + other.config = self.config.copy() + return other + + def getX(self): return self.x + def getY(self): return self.y + +class _BBox(GraphicsObject): + # Internal base class for objects represented by bounding box + # (opposite corners) Line segment is a degenerate case. + + def __init__(self, p1, p2, options=["outline","width","fill"]): + GraphicsObject.__init__(self, options) + self.p1 = p1.clone() + self.p2 = p2.clone() + + def _move(self, dx, dy): + self.p1.x = self.p1.x + dx + self.p1.y = self.p1.y + dy + self.p2.x = self.p2.x + dx + self.p2.y = self.p2.y + dy + + def getP1(self): return self.p1.clone() + + def getP2(self): return self.p2.clone() + + def getCenter(self): + p1 = self.p1 + p2 = self.p2 + return Point((p1.x+p2.x)/2.0, (p1.y+p2.y)/2.0) + + +class Rectangle(_BBox): + + def __init__(self, p1, p2): + _BBox.__init__(self, p1, p2) + + def __repr__(self): + return "Rectangle({}, {})".format(str(self.p1), str(self.p2)) + + def _draw(self, canvas, options): + p1 = self.p1 + p2 = self.p2 + x1,y1 = canvas.toScreen(p1.x,p1.y) + x2,y2 = canvas.toScreen(p2.x,p2.y) + return canvas.create_rectangle(x1,y1,x2,y2,options) + + def clone(self): + other = Rectangle(self.p1, self.p2) + other.config = self.config.copy() + return other + + +class Oval(_BBox): + + def __init__(self, p1, p2): + _BBox.__init__(self, p1, p2) + + def __repr__(self): + return "Oval({}, {})".format(str(self.p1), str(self.p2)) + + + def clone(self): + other = Oval(self.p1, self.p2) + other.config = self.config.copy() + return other + + def _draw(self, canvas, options): + p1 = self.p1 + p2 = self.p2 + x1,y1 = canvas.toScreen(p1.x,p1.y) + x2,y2 = canvas.toScreen(p2.x,p2.y) + return canvas.create_oval(x1,y1,x2,y2,options) + +class Circle(Oval): + + def __init__(self, center, radius): + p1 = Point(center.x-radius, center.y-radius) + p2 = Point(center.x+radius, center.y+radius) + Oval.__init__(self, p1, p2) + self.radius = radius + + def __repr__(self): + return "Circle({}, {})".format(str(self.getCenter()), str(self.radius)) + + def clone(self): + other = Circle(self.getCenter(), self.radius) + other.config = self.config.copy() + return other + + def getRadius(self): + return self.radius + + +class Line(_BBox): + + def __init__(self, p1, p2): + _BBox.__init__(self, p1, p2, ["arrow","fill","width"]) + self.setFill(DEFAULT_CONFIG['outline']) + self.setOutline = self.setFill + + def __repr__(self): + return "Line({}, {})".format(str(self.p1), str(self.p2)) + + def clone(self): + other = Line(self.p1, self.p2) + other.config = self.config.copy() + return other + + def _draw(self, canvas, options): + p1 = self.p1 + p2 = self.p2 + x1,y1 = canvas.toScreen(p1.x,p1.y) + x2,y2 = canvas.toScreen(p2.x,p2.y) + return canvas.create_line(x1,y1,x2,y2,options) + + def setArrow(self, option): + if not option in ["first","last","both","none"]: + raise GraphicsError(BAD_OPTION) + self._reconfig("arrow", option) + + +class Polygon(GraphicsObject): + + def __init__(self, *points): + # if points passed as a list, extract it + if len(points) == 1 and type(points[0]) == type([]): + points = points[0] + self.points = list(map(Point.clone, points)) + GraphicsObject.__init__(self, ["outline", "width", "fill"]) + + def __repr__(self): + return "Polygon"+str(tuple(p for p in self.points)) + + def clone(self): + other = Polygon(*self.points) + other.config = self.config.copy() + return other + + def getPoints(self): + return list(map(Point.clone, self.points)) + + def _move(self, dx, dy): + for p in self.points: + p.move(dx,dy) + + def _draw(self, canvas, options): + args = [canvas] + for p in self.points: + x,y = canvas.toScreen(p.x,p.y) + args.append(x) + args.append(y) + args.append(options) + return GraphWin.create_polygon(*args) + +class Text(GraphicsObject): + + def __init__(self, p, text): + GraphicsObject.__init__(self, ["justify","fill","text","font"]) + self.setText(text) + self.anchor = p.clone() + self.setFill(DEFAULT_CONFIG['outline']) + self.setOutline = self.setFill + + def __repr__(self): + return "Text({}, '{}')".format(self.anchor, self.getText()) + + def _draw(self, canvas, options): + p = self.anchor + x,y = canvas.toScreen(p.x,p.y) + return canvas.create_text(x,y,options) + + def _move(self, dx, dy): + self.anchor.move(dx,dy) + + def clone(self): + other = Text(self.anchor, self.config['text']) + other.config = self.config.copy() + return other + + def setText(self,text): + self._reconfig("text", text) + + def getText(self): + return self.config["text"] + + def getAnchor(self): + return self.anchor.clone() + + def setFace(self, face): + if face in ['helvetica','arial','courier','times roman']: + f,s,b = self.config['font'] + self._reconfig("font",(face,s,b)) + else: + raise GraphicsError(BAD_OPTION) + + def setSize(self, size): + if 5 <= size <= 36: + f,s,b = self.config['font'] + self._reconfig("font", (f,size,b)) + else: + raise GraphicsError(BAD_OPTION) + + def setStyle(self, style): + if style in ['bold','normal','italic', 'bold italic']: + f,s,b = self.config['font'] + self._reconfig("font", (f,s,style)) + else: + raise GraphicsError(BAD_OPTION) + + def setTextColor(self, color): + self.setFill(color) + + +class Entry(GraphicsObject): + + def __init__(self, p, width): + GraphicsObject.__init__(self, []) + self.anchor = p.clone() + #print self.anchor + self.width = width + self.text = tk.StringVar(_root) + self.text.set("") + self.fill = "gray" + self.color = "black" + self.font = DEFAULT_CONFIG['font'] + self.entry = None + + def __repr__(self): + return "Entry({}, {})".format(self.anchor, self.width) + + def _draw(self, canvas, options): + p = self.anchor + x,y = canvas.toScreen(p.x,p.y) + frm = tk.Frame(canvas.master) + self.entry = tk.Entry(frm, + width=self.width, + textvariable=self.text, + bg = self.fill, + fg = self.color, + font=self.font) + self.entry.pack() + #self.setFill(self.fill) + self.entry.focus_set() + return canvas.create_window(x,y,window=frm) + + def getText(self): + return self.text.get() + + def _move(self, dx, dy): + self.anchor.move(dx,dy) + + def getAnchor(self): + return self.anchor.clone() + + def clone(self): + other = Entry(self.anchor, self.width) + other.config = self.config.copy() + other.text = tk.StringVar() + other.text.set(self.text.get()) + other.fill = self.fill + return other + + def setText(self, t): + self.text.set(t) + + + def setFill(self, color): + self.fill = color + if self.entry: + self.entry.config(bg=color) + + + def _setFontComponent(self, which, value): + font = list(self.font) + font[which] = value + self.font = tuple(font) + if self.entry: + self.entry.config(font=self.font) + + + def setFace(self, face): + if face in ['helvetica','arial','courier','times roman']: + self._setFontComponent(0, face) + else: + raise GraphicsError(BAD_OPTION) + + def setSize(self, size): + if 5 <= size <= 36: + self._setFontComponent(1,size) + else: + raise GraphicsError(BAD_OPTION) + + def setStyle(self, style): + if style in ['bold','normal','italic', 'bold italic']: + self._setFontComponent(2,style) + else: + raise GraphicsError(BAD_OPTION) + + def setTextColor(self, color): + self.color=color + if self.entry: + self.entry.config(fg=color) + + +class Image(GraphicsObject): + + idCount = 0 + imageCache = {} # tk photoimages go here to avoid GC while drawn + + def __init__(self, p, *pixmap): + GraphicsObject.__init__(self, []) + self.anchor = p.clone() + self.imageId = Image.idCount + Image.idCount = Image.idCount + 1 + if len(pixmap) == 1: # file name provided + self.img = tk.PhotoImage(file=pixmap[0], master=_root) + else: # width and height provided + width, height = pixmap + self.img = tk.PhotoImage(master=_root, width=width, height=height) + + def __repr__(self): + return "Image({}, {}, {})".format(self.anchor, self.getWidth(), self.getHeight()) + + def _draw(self, canvas, options): + p = self.anchor + x,y = canvas.toScreen(p.x,p.y) + self.imageCache[self.imageId] = self.img # save a reference + return canvas.create_image(x,y,image=self.img) + + def _move(self, dx, dy): + self.anchor.move(dx,dy) + + def undraw(self): + try: + del self.imageCache[self.imageId] # allow gc of tk photoimage + except KeyError: + pass + GraphicsObject.undraw(self) + + def getAnchor(self): + return self.anchor.clone() + + def clone(self): + other = Image(Point(0,0), 0, 0) + other.img = self.img.copy() + other.anchor = self.anchor.clone() + other.config = self.config.copy() + return other + + def getWidth(self): + """Returns the width of the image in pixels""" + return self.img.width() + + def getHeight(self): + """Returns the height of the image in pixels""" + return self.img.height() + + def getPixel(self, x, y): + """Returns a list [r,g,b] with the RGB color values for pixel (x,y) + r,g,b are in range(256) + + """ + + value = self.img.get(x,y) + if type(value) == type(0): + return [value, value, value] + elif type(value) == type((0,0,0)): + return list(value) + else: + return list(map(int, value.split())) + + def setPixel(self, x, y, color): + """Sets pixel (x,y) to the given color + + """ + self.img.put("{" + color +"}", (x, y)) + + + def save(self, filename): + """Saves the pixmap image to filename. + The format for the save image is determined from the filname extension. + + """ + + path, name = os.path.split(filename) + ext = name.split(".")[-1] + self.img.write( filename, format=ext) + + +def color_rgb(r,g,b): + """r,g,b are intensities of red, green, and blue in range(256) + Returns color specifier string for the resulting color""" + return "#%02x%02x%02x" % (r,g,b) + +def test(): + win = GraphWin() + win.setCoords(0,0,10,10) + t = Text(Point(5,5), "Centered Text") + t.draw(win) + p = Polygon(Point(1,1), Point(5,3), Point(2,7)) + p.draw(win) + e = Entry(Point(5,6), 10) + e.draw(win) + win.getMouse() + p.setFill("red") + p.setOutline("blue") + p.setWidth(2) + s = "" + for pt in p.getPoints(): + s = s + "(%0.1f,%0.1f) " % (pt.getX(), pt.getY()) + t.setText(e.getText()) + e.setFill("green") + e.setText("Spam!") + e.move(2,0) + win.getMouse() + p.move(2,3) + s = "" + for pt in p.getPoints(): + s = s + "(%0.1f,%0.1f) " % (pt.getX(), pt.getY()) + t.setText(s) + win.getMouse() + p.undraw() + e.undraw() + t.setStyle("bold") + win.getMouse() + t.setStyle("normal") + win.getMouse() + t.setStyle("italic") + win.getMouse() + t.setStyle("bold italic") + win.getMouse() + t.setSize(14) + win.getMouse() + t.setFace("arial") + t.setSize(20) + win.getMouse() + win.close() + +#MacOS fix 2 +#tk.Toplevel(_root).destroy() + +# MacOS fix 1 +update() + +if __name__ == "__main__": + test() diff --git a/Unit 2/mcEdges.txt b/Unit 2/mcEdges.txt new file mode 100644 index 0000000..07437b5 --- /dev/null +++ b/Unit 2/mcEdges.txt @@ -0,0 +1,9 @@ +WA NT +WA SA +NT SA +SA Q +SA NSW +SA V +Q NSW +Q NT +V NSW diff --git a/Unit 2/mcNodes.txt b/Unit 2/mcNodes.txt new file mode 100644 index 0000000..6577638 --- /dev/null +++ b/Unit 2/mcNodes.txt @@ -0,0 +1,7 @@ +WA +NT +SA +Q +NSW +V +T diff --git a/Unit 2/mcPoints.txt b/Unit 2/mcPoints.txt new file mode 100644 index 0000000..e63e530 --- /dev/null +++ b/Unit 2/mcPoints.txt @@ -0,0 +1,91 @@ +WA +16 137 +38 210 +123 184 +123 140 +120 61 +103 52 +66 96 +NT +120 61 +137 37 +176 37 +170 56 +183 72 +182 140 +123 140 +SA +123 184 +123 140 +182 140 +201 143 +200 164 +198 204 +195 234 +188 228 +178 193 +163 208 +153 190 +Q +183 72 +182 140 +201 143 +200 164 +250 169 +258 168 +265 172 +273 167 +281 168 +280 150 +268 123 +256 104 +242 95 +237 62 +230 55 +226 56 +219 28 +205 75 +191 74 +183 72 +NSW +200 164 +250 169 +258 168 +265 172 +273 167 +281 168 +269 200 +249 231 +239 229 +237 222 +221 218 +218 220 +210 207 +206 209 +203 203 +198 204 +V +249 231 +239 229 +237 222 +221 218 +218 220 +210 207 +206 209 +203 203 +198 204 +195 234 +209 240 +220 232 +225 243 +236 237 +T +215 256 +219 266 +220 277 +226 278 +230 274 +232 276 +236 263 +234 258 +225 260 diff --git a/Unit 2/puzzles.txt b/Unit 2/puzzles.txt new file mode 100644 index 0000000..904d773 --- /dev/null +++ b/Unit 2/puzzles.txt @@ -0,0 +1,128 @@ +.17369825632158947958724316825437169791586432346912758289643571573291684164875293 +4.7369825632158947958724316825437169791586432346912758289643571573291684164875293 +..7369825632158947958724316825437169791586432346912758289643571573291684164875293 +.1736982563215894795872431682543716979158643234691275828964357157329168416487529. +81497653265912347873.854169948265317275341896163798245391682754587439621426517983 +814976532659123478.3.854169948265317275341896163798245391682754587439621426517983 +81497653265.123478.3.854169948265317275341896163798245391682754587439621426517983 +814976532.5.123478.3.854169948265317275341896163798245391682754587439621426517983 +81.976532.5.123478.3.854169948265317275341896163798245391682754587439621426517983 +8..976532.5.123478.3.854169948265317275341896163798245391682754587439621426517983 +...976532.5.123478.3.854169948265317275341896163798245391682754587439621426517983 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+.......4...2..4..1.7..5..9...3..7....4..6....6..1..8...2....1..85.9...6.....8...3 +8..7....4.5....6............3.97...8....43..5....2.9....6......2...6...7.71..83.2 +.8...4.5....7..3...3........1..85...6.....28.....4....3.26............417........ +1....7.9..3..2...8..96..5....53..9...1..8...26....4...3......1..4......7..7...3.. +..53.....8......2..7..1.5..4....53...1..7...6..32...8..6.5....9..4....3......97.. +..........1.62..9...2..931...4..6.8...87.21...3.8..5...691..4...8..73.5.......... +.21.7...63.9...5.......1...13...8....84...9....6...34......6.87.....36..7...8..9. +85...24..72......9..4.........1.7..23.5...9...4...........8..7..17..........36.4. +..............3.85..1.2.......5.7.....4...1...9.......5......73..2.1........4...9 \ No newline at end of file diff --git a/Unit 2/quiz.py b/Unit 2/quiz.py new file mode 100644 index 0000000..914366a --- /dev/null +++ b/Unit 2/quiz.py @@ -0,0 +1,99 @@ +""" +def solve(board, col): + if check_complete(board, col): return board + for row in range(len(board)): + if isValid(row,col,board): + board[row][col] = 1 + result = solve(board, col+1) + if result != None: return result + board[row][col] = 0 + return None + + +def check_complete(board, colNum): + return len(board) == sum(map(sum,board)) + +def isValid(row,col,board): + for x in range(col): + if board[row][x] == 1: + return False + for i, j in zip(range(row, -1,-1), range(col, -1, -1)): + if board[i][j] == 1: + return False + for i, j in zip(range(row, len(board),1), range(col, -1, -1)): + if board[i][j] == 1: + return False + return True + +def main(): + board = [[0 for i in range(8)] for j in range(8)] + solution = solve(board,0) + print(board) + +if __name__ == "__main__": + main() + +""" + +def check_complete(table, variables): + total_vars = len(variables) + 2 + if len([i for i, x in enumerate(table) if x != ""]) != total_vars: return False + distances, indicies = [], [i for i, x in enumerate(table) if x != ""] + + for i in range(len(indicies)): + for j in range(i+1, len(indicies)): + distances.append(abs(indicies[i]-indicies[j])) + + if len(set(distances)) != len(distances): return False + else: return True + +def isValid(table, index, current): + distances, indicies = [], [i for i, x in enumerate(table) if x != ""] + + for i in range(len(indicies)): + for j in range(i+1, len(indicies)): + distances.append(abs(indicies[i]-indicies[j])) + + if len(set(distances)) != len(distances): return False + else: return True + + +def search(table): + table[0] = 'TA' + # return backtrack(table, ['A','B','C','D'], 0) + indicies = [] + for i in range(1, len(table)): + copy = list(table) + copy[i] = 'A' + solution = backtrack(copy, ['B','C','D'], 0) + if solution != None: indicies.append([i for i, x in enumerate(solution) if x != ""]) + distinct = set(tuple(x) for x in indicies) + print(distinct) + print(len(distinct), " distinct solutions") + print() + print() + return indicies + + +def backtrack(table, variables, current): + if check_complete(table, variables): + return table + for index in [i for i, x in enumerate(table) if x == ""]: + if isValid(table, index, current): + table[index] = variables[current] + result = backtrack(table, variables, current+1) + if result != None: return result + table[index] = "" + return None + + +def main(): + table = ['' for i in range(13)] + solution = search(table) + if solution != None: + print(solution) + else: + print("sorry no solution and u failed the quiz") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/Unit 2/retake.py b/Unit 2/retake.py new file mode 100644 index 0000000..b2fe449 --- /dev/null +++ b/Unit 2/retake.py @@ -0,0 +1,99 @@ +""" +def solve(board, col): + if check_complete(board, col): return board + for row in range(len(board)): + if isValid(row,col,board): + board[row][col] = 1 + result = solve(board, col+1) + if result != None: return result + board[row][col] = 0 + return None + + +def check_complete(board, colNum): + return len(board) == sum(map(sum,board)) + +def isValid(row,col,board): + for x in range(col): + if board[row][x] == 1: + return False + for i, j in zip(range(row, -1,-1), range(col, -1, -1)): + if board[i][j] == 1: + return False + for i, j in zip(range(row, len(board),1), range(col, -1, -1)): + if board[i][j] == 1: + return False + return True + +def main(): + board = [[0 for i in range(8)] for j in range(8)] + solution = solve(board,0) + print(board) + +if __name__ == "__main__": + main() + +""" + +def check_complete(table, variables): + total_vars = len(variables) + 2 + if len([i for i, x in enumerate(table) if x != ""]) != total_vars: return False + distances, indicies = [], [i for i, x in enumerate(table) if x != ""] + + for i in range(len(indicies)): + for j in range(i+1, len(indicies)): + distances.append(abs(indicies[i]-indicies[j])) + + if len(set(distances)) != len(distances): return False + else: return True + +def isValid(table, index, current): + distances, indicies = [], [i for i, x in enumerate(table) if x != ""] + + for i in range(len(indicies)): + for j in range(i+1, len(indicies)): + distances.append(abs(indicies[i]-indicies[j])) + + if len(set(distances)) != len(distances): return False + else: return True + + +def search(table): + table[0] = 'TA' + # return backtrack(table, ['A','B','C','D'], 0) + indicies = [] + for i in range(1, len(table)): + copy = list(table) + copy[i] = 'A' + solution = backtrack(copy, ['B','C','D'], 0) + if solution != None: indicies.append([i for i, x in enumerate(solution) if x != ""]) + distinct = set(tuple(x) for x in indicies) + print(distinct) + print(len(distinct), " distinct solutions") + print() + print() + return indicies + + +def backtrack(table, variables, current): + if check_complete(table, variables): + return table + for index in [i for i, x in enumerate(table) if x == ""]: + if isValid(table, index, current): + table[index] = variables[current] + result = backtrack(table, variables, current+1) + if result != None: return result + table[index] = "" + return None + + +def main(): + table = ['' for i in range(12)] + solution = search(table) + if solution != None: + print(solution) + else: + print("sorry no solution and u failed the quiz") + +if __name__ == "__main__": + main() diff --git a/Unit 2/testing.py b/Unit 2/testing.py new file mode 100644 index 0000000..16ee76d --- /dev/null +++ b/Unit 2/testing.py @@ -0,0 +1,14 @@ +from tkinter import * +from graphics import * + +def main(): + frame = GraphWin('Map', 300, 200) # pop-up window + frame.setCoords(0, 0, 299, 199) # 300 by 200 + shape = Polygon([Point(50, 100), Point(100, 150), Point(150, 100)]) # Triangle + shape.setFill("red") + shape.setOutline("black") + shape.draw(frame) + + mainloop() + +main() \ No newline at end of file diff --git a/Unit 3/Umaretiya_r_U3_L1.py b/Unit 3/Umaretiya_r_U3_L1.py new file mode 100644 index 0000000..54b605a --- /dev/null +++ b/Unit 3/Umaretiya_r_U3_L1.py @@ -0,0 +1,123 @@ +# Name: Rushil Umaretiya +# Date: 12/10/2020 + +def successors(state, turn): + sli = [i for i in range(len(state)) if state[i] == '.'] + ret = [(state, state[0:i] + turn + state[i+1:]) for i in sli] + return ret # [(previous state, new state), ...] + +def terminal_test(state, tc): + if state.find('.') < 0: return True # check empty spot + for li in tc: + check_li = [state[x] for x in li] + if len(set(check_li)) == 1 and check_li[0] != '.': + return True + return False + +def utility(turn, tc, state): + # return 1 (turn wins), -1 (turn loses), or 0 (tie) + for li in tc: + check_li = [state[x] for x in li] + if len(set(check_li)) == 1 and check_li[0] != '.': + if turn != check_li[0]: + return 1 + else: + return -1 + return 0 + +def minimax(state, turn, tc): + max_val = max_value(state, turn, tc) # returns state + return max_val[1] + +def max_value(state, turn, tc): + # return value and state: (val, state) + if terminal_test(state, tc): + return utility('X' if turn == 'O' else 'O', tc, state), state + v = -99999 + result = state + for curr_state, successor in successors(state, turn): + min_val, min_state = min_value(successor, 'X' if turn == 'O' else 'O', tc) + if v < min_val: + if v == 1: return v, result + v = min_val + result = successor + + return v, result + +def min_value(state, turn, tc): + # return value and state: (val, state) + if terminal_test(state, tc): + return utility(turn, tc, state), state + v = 99999 + result = state + for curr_state, successor in successors(state, turn): + max_val, max_state = max_value(successor, 'X' if turn == 'O' else 'O', tc) + if v > max_val: + if v == -1: return v, result + v = max_val + result = successor + + return v, result + +def get_turn(state): + count = {'X': 0, 'O': 0, '.':9} + for s in state: count[s] += 1 + return 'O' if count['O'] < count['X'] else 'X' + +def conditions_table(n=3, n2=9): + ret = [[] for i in range(n*2+2)] + for i in range(n2): + ret[i//n].append(i) # rows: [0, 1, 2], [3, 4, 5], [6, 7, 8] + ret[n+i%n].append(i) # cols: [0, 3, 6], [1, 4, 7], [2, 5, 8] + if i//n == i % n: ret[n+n].append(i) # diagonal \: [0, 4, 8] + if i // n == n - i%n - 1: ret[n+n+1].append(i) # diagonal /: [2, 4, 6] + return ret + +def display(state, n=3, n2=9): + str = "" + for i in range(n2): + str += state[i] + ' ' + if i % n == n-1: str += '\n' + return str + +def human_play(s, n, turn): + index_li = [x for x in range(len(s)) if s[x] == '.'] + for i in index_li: + print ('[%s] (%s, %s)' % (i, i//n, i%n)) + index = int(input("What's your input? (Type a number): ")) + while s[index] != '.': + index = int(input("Invalid. What's your input? ")) + state = s[0:index] + turn + s[index+1:] + return state + +def main(): + X = input("X is human or AI? (h: human, a: AI) ") + O = input("O is human or AI? (h: human, a: AI) ") + state = input("input state (ENTER if it's an empty state): ") + if len(state) == 0: state = '.........' + turn = get_turn(state) + tc = conditions_table(3, 9) + print ("Game start!") + print (display(state, 3, 9)) + while terminal_test(state, tc) == False: + if turn == 'X': + print ("{}'s turn:".format(turn)) + if X == 'a': state = minimax(state, turn, tc) + else: state = human_play(state, 3, turn) + print (display(state, 3, 9)) + turn = 'O' + else: + print ("{}'s turn:".format(turn)) + if O == 'a': state = minimax(state, turn, tc) + else: state = human_play(state, 3, turn) + print (display(state, 3, 9)) + turn = 'X' + + if utility(turn, tc, state) == 0: + print ("Game over! Tie!") + else: + turn = 'O' if turn == 'X' else 'X' + print ('Game over! ' + turn + ' win!') + +if __name__ =='__main__': + main() \ No newline at end of file diff --git a/Unit 3/Umaretiya_r_U3_L1_test.py b/Unit 3/Umaretiya_r_U3_L1_test.py new file mode 100644 index 0000000..54b605a --- /dev/null +++ b/Unit 3/Umaretiya_r_U3_L1_test.py @@ -0,0 +1,123 @@ +# Name: Rushil Umaretiya +# Date: 12/10/2020 + +def successors(state, turn): + sli = [i for i in range(len(state)) if state[i] == '.'] + ret = [(state, state[0:i] + turn + state[i+1:]) for i in sli] + return ret # [(previous state, new state), ...] + +def terminal_test(state, tc): + if state.find('.') < 0: return True # check empty spot + for li in tc: + check_li = [state[x] for x in li] + if len(set(check_li)) == 1 and check_li[0] != '.': + return True + return False + +def utility(turn, tc, state): + # return 1 (turn wins), -1 (turn loses), or 0 (tie) + for li in tc: + check_li = [state[x] for x in li] + if len(set(check_li)) == 1 and check_li[0] != '.': + if turn != check_li[0]: + return 1 + else: + return -1 + return 0 + +def minimax(state, turn, tc): + max_val = max_value(state, turn, tc) # returns state + return max_val[1] + +def max_value(state, turn, tc): + # return value and state: (val, state) + if terminal_test(state, tc): + return utility('X' if turn == 'O' else 'O', tc, state), state + v = -99999 + result = state + for curr_state, successor in successors(state, turn): + min_val, min_state = min_value(successor, 'X' if turn == 'O' else 'O', tc) + if v < min_val: + if v == 1: return v, result + v = min_val + result = successor + + return v, result + +def min_value(state, turn, tc): + # return value and state: (val, state) + if terminal_test(state, tc): + return utility(turn, tc, state), state + v = 99999 + result = state + for curr_state, successor in successors(state, turn): + max_val, max_state = max_value(successor, 'X' if turn == 'O' else 'O', tc) + if v > max_val: + if v == -1: return v, result + v = max_val + result = successor + + return v, result + +def get_turn(state): + count = {'X': 0, 'O': 0, '.':9} + for s in state: count[s] += 1 + return 'O' if count['O'] < count['X'] else 'X' + +def conditions_table(n=3, n2=9): + ret = [[] for i in range(n*2+2)] + for i in range(n2): + ret[i//n].append(i) # rows: [0, 1, 2], [3, 4, 5], [6, 7, 8] + ret[n+i%n].append(i) # cols: [0, 3, 6], [1, 4, 7], [2, 5, 8] + if i//n == i % n: ret[n+n].append(i) # diagonal \: [0, 4, 8] + if i // n == n - i%n - 1: ret[n+n+1].append(i) # diagonal /: [2, 4, 6] + return ret + +def display(state, n=3, n2=9): + str = "" + for i in range(n2): + str += state[i] + ' ' + if i % n == n-1: str += '\n' + return str + +def human_play(s, n, turn): + index_li = [x for x in range(len(s)) if s[x] == '.'] + for i in index_li: + print ('[%s] (%s, %s)' % (i, i//n, i%n)) + index = int(input("What's your input? (Type a number): ")) + while s[index] != '.': + index = int(input("Invalid. What's your input? ")) + state = s[0:index] + turn + s[index+1:] + return state + +def main(): + X = input("X is human or AI? (h: human, a: AI) ") + O = input("O is human or AI? (h: human, a: AI) ") + state = input("input state (ENTER if it's an empty state): ") + if len(state) == 0: state = '.........' + turn = get_turn(state) + tc = conditions_table(3, 9) + print ("Game start!") + print (display(state, 3, 9)) + while terminal_test(state, tc) == False: + if turn == 'X': + print ("{}'s turn:".format(turn)) + if X == 'a': state = minimax(state, turn, tc) + else: state = human_play(state, 3, turn) + print (display(state, 3, 9)) + turn = 'O' + else: + print ("{}'s turn:".format(turn)) + if O == 'a': state = minimax(state, turn, tc) + else: state = human_play(state, 3, turn) + print (display(state, 3, 9)) + turn = 'X' + + if utility(turn, tc, state) == 0: + print ("Game over! Tie!") + else: + turn = 'O' if turn == 'X' else 'X' + print ('Game over! ' + turn + ' win!') + +if __name__ =='__main__': + main() \ No newline at end of file