Added 2017/14

2017/10/solution.py

@@ -4,7 +4,7 @@ from pprint import pprint
 from functools import reduce
 from operator import xor
 
-input_f = 'input'
+input_f = 'test3'
 
 def list2int(x):
     return list(map(int, x))
@@ -90,7 +90,8 @@ if part == 2:
     for i in range(0,16):
         t = numbers[i*16:(i*16)+16]
         dense.append(XOR(t))
-
+    print(dense)
+ 
 
     for i in dense:
         print(format(i, '02x'),end='')

2017/10/test4

@@ -0,0 +1 @@
+ 

2017/13/solution.py

@@ -6,7 +6,7 @@ from fred import list2int, ppprint
 
 input_f = 'input'
 
-part = 3
+part = 2
 
 #########################################
 #                                       #
@@ -100,7 +100,7 @@ if part == 1:
 #              Part 2                   #
 #                                       #
 #########################################
-if part == 2:
+if part == 3: #ugly not workng
     grid_length = 7
     for i in range(0,grid_length):
         grid.append([])
@@ -176,7 +176,7 @@ if part == 2:
         
     
 
-if part == 3:
+if part == 2:
     grid_length = 100
     scanners = {}
     for i in range(0,grid_length):

2017/14/14.md

@@ -0,0 +1,94 @@
+## \-\-- Day 14: Disk Defragmentation \-\--
+
+Suddenly, a scheduled job activates the system\'s [disk
+defragmenter](https://en.wikipedia.org/wiki/Defragmentation). Were the
+situation different, you might [sit and watch it for a
+while](https://www.youtube.com/watch?v=kPv1gQ5Rs8A&t=37), but today, you
+just don\'t have that kind of time. It\'s soaking up valuable system
+resources that are needed elsewhere, and so the only option is to help
+it finish its task as soon as possible.
+
+The disk in question consists of a 128x128 grid; each square of the grid
+is either *free* or *used*. On this disk, the state of the grid is
+tracked by the bits in a sequence of [knot hashes](10).
+
+A total of 128 knot hashes are calculated, each corresponding to a
+single row in the grid; each hash contains 128 bits which correspond to
+individual grid squares. Each bit of a hash indicates whether that
+square is *free* (`0`) or *used* (`1`).
+
+The hash inputs are a key string (your puzzle input), a dash, and a
+number from `0` to `127` corresponding to the row. For example, if your
+key string were `flqrgnkx`, then the first row would be given by the
+bits of the knot hash of `flqrgnkx-0`, the second row from the bits of
+the knot hash of `flqrgnkx-1`, and so on until the last row,
+`flqrgnkx-127`.
+
+The output of a knot hash is traditionally represented by 32 hexadecimal
+digits; each of these digits correspond to 4 bits, for a total of
+`4 * 32 = 128` bits. To convert to bits, turn each hexadecimal digit to
+its equivalent binary value, high-bit first: `0` becomes `0000`, `1`
+becomes `0001`, `e` becomes `1110`, `f` becomes `1111`, and so on; a
+hash that begins with `a0c2017...` in hexadecimal would begin with
+`10100000110000100000000101110000...` in binary.
+
+Continuing this process, the *first 8 rows and columns* for key
+`flqrgnkx` appear as follows, using `#` to denote used squares, and `.`
+to denote free ones:
+
+    ##.#.#..-->
+    .#.#.#.#   
+    ....#.#.   
+    #.#.##.#   
+    .##.#...   
+    ##..#..#   
+    .#...#..   
+    ##.#.##.-->
+    |      |   
+    V      V   
+
+In this example, `8108` squares are used across the entire 128x128 grid.
+
+Given your actual key string, *how many squares are used*?
+
+Your puzzle answer was `8250`.
+
+## \-\-- Part Two \-\-- {#part2}
+
+Now, [all the defragmenter needs to
+know]{title="This is exactly how it works in real life."} is the number
+of *regions*. A region is a group of *used* squares that are all
+*adjacent*, not including diagonals. Every used square is in exactly one
+region: lone used squares form their own isolated regions, while several
+adjacent squares all count as a single region.
+
+In the example above, the following nine regions are visible, each
+marked with a distinct digit:
+
+    11.2.3..-->
+    .1.2.3.4   
+    ....5.6.   
+    7.8.55.9   
+    .88.5...   
+    88..5..8   
+    .8...8..   
+    88.8.88.-->
+    |      |   
+    V      V   
+
+Of particular interest is the region marked `8`; while it does not
+appear contiguous in this small view, all of the squares marked `8` are
+connected when considering the whole 128x128 grid. In total, in this
+example, `1242` regions are present.
+
+*How many regions* are present given your key string?
+
+Your puzzle answer was `1113`.
+
+Both parts of this puzzle are complete! They provide two gold stars:
+\*\*
+
+At this point, you should [return to your Advent calendar](/2017) and
+try another puzzle.
+
+Your puzzle input was `stpzcrnm`{.puzzle-input}.

2017/14/sol.py

@@ -0,0 +1,50 @@
+
+grid = [
+    [0,0,0,0,1],
+    [0,0,1,0,1],
+    [0,0,1,1,1],
+    [1,0,0,0,1],
+    [0,0,0,0,0]
+]
+
+blob_count = 1
+
+for idx,i in enumerate(grid):
+    for jdx,j in enumerate(i):
+        print(grid[idx][jdx],end=' ')
+    print()
+
+def is_valid(x,y):
+    return 0 <= x < rows and 0 <= y < cols and not visited[x][y] and grid[x][y] == '1'
+
+rows,cols = len(grid), len(grid[0])
+visited = [[False for _ in range(cols)] for _ in range(rows)]
+directions = [(0,1),(0,-1),(1,0),(-1,0)]
+
+def dfs(x, y,blob_count):
+    print(blob_count)
+    visited[x][y] = True
+    for dx, dy in directions:
+        nx, ny = x + dx, y + dy
+        
+        if is_valid(nx, ny):
+            
+            dfs(nx, ny,blob_count)
+        else:
+            blob_count += 1
+            return blob_count
+
+
+for i in range(rows):
+    for j in range(cols):
+        if grid[i][j] == 1 and not visited[i][j]:
+            grid[i][j] = blob_count
+            blob_count = dfs(i, j,blob_count)
+
+
+print(blob_count)
+
+for idx,i in enumerate(grid):
+    for jdx,j in enumerate(i):
+        print(grid[idx][jdx],end=' ')
+    print()

2017/14/solution.py

@@ -0,0 +1,156 @@
+#!/bin/python3
+import sys,re
+from pprint import pprint
+from functools import reduce
+from operator import xor
+
+input_f = 'input'
+
+def list2int(x):
+    return list(map(int, x))
+
+def toACSII(x):
+    for idx,i in enumerate(x):
+        x[idx] = ord(i)
+    return x
+
+def XOR(x):
+    return reduce(xor, map(int, t))
+
+part = 1
+#########################################
+#                                       #
+#              Part 1                   #
+#                                       #
+#########################################
+
+if part == 0:
+
+    size = 256
+    lengths = []
+    skip = 0
+    numbers = []
+    pos = 0
+    for i in range(0,size):
+        numbers.append(i)
+
+    with open(input_f) as file:
+        for line in file:
+            lengths = list2int(line.rsplit()[0].split(','))
+
+    for ldx, length in enumerate(lengths):
+        sub = [numbers[(pos + i) % len(numbers)] for i in range(length)]
+        rev = sub[::-1]
+
+        for i in range(length):
+            numbers[(pos + i) % len(numbers)] = rev[i]
+
+        pos += (length+skip) 
+        pos = pos % len(numbers)
+        skip += 1
+    print(numbers[0]*numbers[1])
+
+#########################################
+#                                       #
+#              Part 2                   #
+#                                       #
+#########################################
+
+grid = []
+
+if part == 1:
+
+    size = 256
+    lengths = []
+    skip = 0
+    original_numbers = []
+    pos = 0
+    total = 0
+
+    for i in range(0,size):
+        original_numbers.append(i)
+
+    with open(input_f) as file:
+        for line in file:
+            lengths = list(line.rsplit()[0].split()[0])
+            #print(lengths)
+
+    original_lengths = lengths
+    for x in range(0,128):
+        numbers = original_numbers[:]
+        lengths = []
+        skip = 0
+        pos = 0
+        lengths = original_lengths + ['-'] + list(str(x))
+        #print(lengths)
+        #lengths = ['A','o','C',' ','2','0','1','7']
+
+        lengths = toACSII(lengths) + [17, 31, 73, 47, 23]
+        #print('ACSII',lengths)
+
+    
+        for i in range(0,64):
+            for ldx, length in enumerate(lengths):
+                sub = [numbers[(pos + i) % len(numbers)] for i in range(length)]
+                rev = sub[::-1]
+
+                for i in range(length):
+                    numbers[(pos + i) % len(numbers)] = rev[i]
+
+                pos += (length+skip) 
+                pos = pos % len(numbers)
+                skip += 1
+        dense = []
+        for j in range(0,16):
+            t = numbers[j*16:(j*16)+16]
+            dense.append(XOR(t))
+        #print(dense)
+    
+        hexi = ''
+
+        for i in dense:
+            hexi += format(i, '02x')
+        
+        #print(hexi)
+        binary = ''
+        for i in hexi:
+            binary += bin(int(i,16))[2:].zfill(4)
+        grid.append(list(binary))
+        
+        #for i in hexi:
+        #    print(' '.join(bin(ord(char))[2:] for char in i))
+
+        #print(binary)      
+        total += binary.count('1')
+    print('Part 1:',total)
+        #input()
+
+    for i in range (0,8):
+        for j in range(0,8):
+            print(grid[i][j],end='')
+        print()
+    
+    def count_blobs(grid):
+        rows,cols = len(grid), len(grid[0])
+        visited = [[False for _ in range(cols)] for _ in range(rows)]
+        directions = [(0,1),(0,-1),(1,0),(-1,0)]
+
+        def is_valid(x,y):
+            return 0 <= x < rows and 0 <= y < cols and not visited[x][y] and grid[x][y] == '1'
+        
+        def dfs(x, y):
+            visited[x][y] = True
+            for dx, dy in directions:
+                nx, ny = x + dx, y + dy
+                if is_valid(nx, ny):
+                    dfs(nx, ny)
+
+        blob_count = 0
+        for i in range(rows):
+            for j in range(cols):
+                if grid[i][j] == '1' and not visited[i][j]:
+                    blob_count += 1
+                    dfs(i, j)
+        return blob_count
+    
+    print(count_blobs(grid))

2017/14/test2

@@ -0,0 +1 @@
+AoC 2017

2017/14/test3

@@ -0,0 +1 @@
+a0c2017

2017/14/test4

@@ -0,0 +1 @@
+flqrgnkx