try 2015 again

2015/day07.py

@@ -1,15 +1,19 @@
 import shared
 import matrix
-import numpy as np
 
 
-def pt1(inp):
-    print(inp)
+def part1(inp):
+    print(x)
+    for i in inp:
+        instruction, destination = i.split(" -> ")
+        print(instruction, destination)
+        
+
 
 def main():
     with open(shared.get_fname(7), "r") as f:
         inp = [x.rstrip() for x in f.readlines()]
-    pt1(inp)
+    part1(inp)
     #pt2(inp)
 
 if __name__ == "__main__":

2015/python/day07.py

@@ -0,0 +1,56 @@
+import shared
+import matrix
+from pprint import pprint
+import numpy as np
+import operator
+
+OPS = {
+    'AND': operator.and_,
+    'OR': operator.or_,
+    'LSHIFT': operator.lshift,
+    'RSHIFT': operator.rshift,
+}
+
+
+def NOT(x):
+    return int(x) ^ 65535
+
+
+def pt1(inp):
+    print(inp)
+    registers = {}
+    for i in inp:
+        inst, dest = i.split(" -> ")
+        if " " not in inst:
+            registers[dest] = inst
+            continue
+        inst = inst.split()
+        if inst[0] == "NOT":
+            registers[dest] = NOT(registers[inst[1]])
+            continue
+        a,op,b = inst
+        try:
+            a = int(a)
+        except ValueError:
+            a = int(registers[a])
+        try:
+            b = int(b)
+        except ValueError:
+            b = int(registers[b])
+        print(a,b)
+        registers[dest] = OPS[op](a,b)
+
+        #x,op,y = inst.split(" ")
+
+
+    pprint(registers)
+        
+
+def main():
+    with open(shared.get_fname(7), "r") as f:
+        inp = [x.rstrip() for x in f.readlines()]
+    pt1(inp)
+    #pt2(inp)
+
+if __name__ == "__main__":
+    main()

2015/python/shared.py

@@ -0,0 +1,161 @@
+from contextlib import contextmanager
+from timeit import default_timer
+from pathlib import Path
+import cProfile
+import functools
+import pstats
+
+
+def profile(func):
+    @functools.wraps(func)
+    def inner(*args, **kwargs):
+        profiler = cProfile.Profile()
+        profiler.enable()
+        try:
+            retval = func(*args, **kwargs)
+        finally:
+            profiler.disable()
+            with open("profile.out", "w") as profile_file:
+                stats = pstats.Stats(profiler, stream=profile_file)
+                stats.print_stats()
+        return retval
+
+    return inner
+
+
+spl = lambda y: [int(w) for w in y]
+
+
+def minmax(l):
+    return min(l), max(l)
+
+
+def load_rows(day):
+    return [row for row in load(day)]
+
+
+def load(day):
+    path = Path(get_fname(day))
+    return path.read_text().rstrip().split("\n")
+
+
+def get_fname(day: int) -> str:
+    import sys
+
+    if sys.argv[-1] == "--sample":
+        return f"../samples/day{day:02}.txt"
+    else:
+        return f"../full/day{day:02}.txt"
+
+
+#############
+def load_char_matrix(f):
+    my_file = []
+    for line in f:
+        my_file.append(line.rstrip())
+    return [list(x) for x in my_file]
+
+
+def load_file_char_matrix(name):
+    with open(name, "r") as f:
+        return load_char_matrix(f)
+
+
+def load_int_matrix(f):
+    my_file = []
+    for line in f:
+        my_file.append(line.rstrip())
+    return [list(map(int, x)) for x in my_file]
+
+
+def load_file_int_matrix(name):
+    with open(name, "r") as f:
+        return load_int_matrix(f)
+
+
+def load_word_matrix(f):
+    my_file = []
+    for line in f:
+        my_file.append(line.rstrip())
+    return [x.split(" ") for x in my_file]
+
+
+def load_file_word_matrix(name):
+    with open(name, "r") as f:
+        return load_word_matrix(f)
+
+
+#############
+
+
+def rotate(WHAT, times=1):
+    what = WHAT
+    for x in range(times):
+        what = list(zip(*what[::-1]))
+    return what
+
+
+@contextmanager
+def elapsed_timer():
+    start = default_timer()
+    elapser = lambda: default_timer() - start
+    yield lambda: elapser()
+    end = default_timer()
+    elapser = lambda: end - start
+
+
+
+
+def render_cubes(maxX,maxY,maxZ, my_cubes):
+    from mpl_toolkits.mplot3d import Axes3D
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from mpl_toolkits.mplot3d.art3d import Poly3DCollection
+    
+    def cuboid_data(o, size=(1,1,1)):
+        X = [[[0, 1, 0], [0, 0, 0], [1, 0, 0], [1, 1, 0]],
+             [[0, 0, 0], [0, 0, 1], [1, 0, 1], [1, 0, 0]],
+             [[1, 0, 1], [1, 0, 0], [1, 1, 0], [1, 1, 1]],
+             [[0, 0, 1], [0, 0, 0], [0, 1, 0], [0, 1, 1]],
+             [[0, 1, 0], [0, 1, 1], [1, 1, 1], [1, 1, 0]],
+             [[0, 1, 1], [0, 0, 1], [1, 0, 1], [1, 1, 1]]]
+        X = np.array(X).astype(float)
+        for i in range(3):
+            X[:,:,i] *= size[i]
+        X += np.array(o)
+        return X
+    
+    def plotCubeAt(positions,sizes=None,colors=None, **kwargs):
+        if not isinstance(colors,(list,np.ndarray)): colors=["C0"]*len(positions)
+        if not isinstance(sizes,(list,np.ndarray)): sizes=[(1,1,1)]*len(positions)
+        g = []
+        for p,s,c in zip(positions,sizes,colors):
+            g.append( cuboid_data(p, size=s) )
+        return Poly3DCollection(np.concatenate(g),  
+                                facecolors=np.repeat(colors,6, axis=0), **kwargs)
+    
+    N1 = maxX
+    N2 = maxY
+    N3 = maxZ
+    ma = np.random.choice([0,1], size=(N1,N2,N3), p=[0.99, 0.01])
+    x,y,z = np.indices((N1,N2,N3))-.5
+    #positions = np.c_[x[ma==1],y[ma==1],z[ma==1]]
+    positions = np.c_[my_cubes]
+    colors= np.random.rand(len(positions),3)
+    
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.set_aspect('equal')
+    
+    pc = plotCubeAt(positions, colors=colors,edgecolor="k")
+    ax.add_collection3d(pc)
+    
+    ax.set_xlim([0,maxX])
+    ax.set_ylim([0,maxY])
+    ax.set_zlim([0,maxZ])
+    #plotMatrix(ax, ma)
+    #ax.voxels(ma, edgecolor="k")
+    
+    plt.show()
+
+

2015/shared.py

@@ -1,31 +0,0 @@
-def get_fname(day: int) -> str:
-    import sys
-
-    if sys.argv[-1] == "--sample":
-        return f"samples/day{day:02}.txt"
-    else:
-        return f"full/day{day:02}.txt"
-
-
-def load_file_char_matrix(name):
-    with open(name, "r") as f:
-        my_file = []
-        for line in f:
-            my_file.append(line.rstrip())
-    return [list(x) for x in my_file]
-
-
-def load_file_int_matrix(name):
-    with open(name, "r") as f:
-        my_file = []
-        for line in f:
-            my_file.append(line.rstrip())
-    return [list(map(int, x)) for x in my_file]
-
-
-def load_file_word_matrix(name):
-    with open(name, "r") as f:
-        my_file = []
-        for line in f:
-            my_file.append(line.rstrip())
-    return [x.split(" ") for x in my_file]

2022/python/day19.py

@@ -0,0 +1,27 @@
+import matrix
+import shared
+import itertools
+import functools
+
+# @shared.profile
+def part1(rows):
+    pass
+
+
+# @shared.profile
+def part2(rows):
+    pass
+
+
+def main():
+    rows = [row for row in shared.load_rows(19)]
+    with shared.elapsed_timer() as elapsed:
+        part1(rows)
+        print("🕒", elapsed())
+    with shared.elapsed_timer() as elapsed:
+        part2(rows)
+        print("🕒", elapsed())
+
+
+if __name__ == "__main__":
+    main()