Start

app.py

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+import streamlit as st
+import os
+import importlib
+import inspect
+import numpy as np
+import torch
+from PIL import Image
+from aoc.year_2021.code.day_1 import streamlit_1, streamlit_torch_1
+from aoc.year_2021.code.day_2 import streamlit_2
+from aoc.year_2021.code.day_3 import streamlit_torch_3
+from aoc.year_2021.code.day_4 import streamlit_4
+from aoc.year_2021.code.day_5 import streamlit_5
+
+
+st.sidebar.markdown("**AoC 2021 app** by Yassine Alouini")
+logo = Image.open('logo.png')
+st.sidebar.image(logo, width=64)
+
+day = st.sidebar.selectbox("Select the day: ", [1, 2, 3, 4, 5])
+day_input = st.sidebar.text_area("Paste your input here: ", "")
+show_code = st.sidebar.radio("Show code? ", [True, False])
+show_torch_code = st.sidebar.radio("Show PyTorch code? ", [True, False])
+
+
+
+
+
+
+if day == 1 and (day_input is not None and day_input != ""):
+    if show_code:
+        st.code(inspect.getsource(streamlit_1))
+        streamlit_1(day_input)
+    if show_torch_code:
+        st.code(inspect.getsource(streamlit_torch_1))
+        streamlit_torch_1(day_input)
+
+if day == 2 and (day_input is not None and day_input != ""):
+    if show_code:
+        st.code(inspect.getsource(streamlit_2))
+        streamlit_2(day_input)
+    # if show_torch_code:
+    #     st.code(inspect.getsource(day_1_torch))
+    #     day_1_torch(day_input)
+
+if day == 3 and (day_input is not None and day_input != ""):
+    # if show_code:
+    #     st.code(inspect.getsource(streamlit_3))
+    #     streamlit_2(day_input)
+    if show_torch_code:
+        st.code(inspect.getsource(streamlit_torch_3))
+        streamlit_torch_3(day_input)
+
+if day == 4 and (day_input is not None and day_input != ""):
+    if show_code:
+        st.code(inspect.getsource(streamlit_4))
+        streamlit_4(day_input)
+    # if show_torch_code:
+    #     st.code(inspect.getsource(streamlit_torch_3))
+    #     streamlit_torch_3(day_input)
+
+if day == 5 and (day_input is not None and day_input != ""):
+    if show_code:
+        st.code(inspect.getsource(streamlit_5))
+        streamlit_5(day_input)
+    # if show_torch_code:
+    #     st.code(inspect.getsource(streamlit_torch_3))
+    #     streamlit_torch_3(day_input)

setup.py

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+from setuptools import find_packages, setup
+
+NAME = "aoc"
+VERSION = "0.0.1"
+AUTHOR = ""
+DESCRIPTION = """The repo for the AoC challenges."""
+EMAIL = "yassinealouini@outlook.com"
+URL = ""
+
+setup(
+    name=NAME,
+    version=VERSION,
+    packages=find_packages(),
+    # Some metadata
+    author=AUTHOR,
+    author_email=EMAIL,
+    description=DESCRIPTION,
+    url=URL,
+    license="MIT",
+    keywords="AoC puzzles",
+)

year_2021/code/day_1.py

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+import numpy as np 
+
+
+with open("/home/yassinealouini/Documents/code/advent_of_code/aoc/year_2021/data/1.txt") as f:
+    data = f.read().rstrip().split("\n")
+def main():
+    data = [int(e) for e in data]
+
+    a = np.diff(data)
+    print("Solution to first part: ", np.where(a > 0, 1, 0).sum())
+
+
+
+    a = np.convolve(data, np.ones(3,dtype=int),'valid')
+    a = np.diff(a)
+    print("Solution to second part: ", np.where(a > 0, 1, 0).sum())
+
+
+def streamlit_torch_1(day_input):
+    """
+    Day 1 solution for AoC using PyTorch
+    """
+    import torch
+    import streamlit as st
+    data = day_input.rstrip().split(" ")
+    data = torch.tensor([int(e) for e in data])
+
+    a = torch.diff(data)
+    st.write("Solution to first part: ", torch.where(a > 0, 1, 0).sum())
+
+    # Computing a moving window sum as a difference between two
+    # cumulative sums starting at different places.
+    # We also need to insert the first value of the cumulative sum
+    # that's why you see the weird cat and view.
+    a = torch.cumsum(data, axis=0)
+    first_element = a[0]
+    a = (a[3:] - a[:-3])
+    a = torch.cat((first_element.view(1), a))
+    a = torch.diff(a)
+    st.write("Solution to second part: ", torch.where(a > 0, 1, 0).sum())
+
+
+def streamlit_1(day_input):
+    """
+    Day 1 solution for AoC
+    """
+    import numpy as np
+    import streamlit as st
+    data = day_input.rstrip().split(" ")
+    data = [int(e) for e in data]
+
+    a = np.diff(data)
+    st.write("Solution to first part: ", np.where(a > 0, 1, 0).sum())
+
+
+
+    a = np.convolve(data, np.ones(3,dtype=int),'valid')
+    a = np.diff(a)
+    st.write("Solution to second part: ", np.where(a > 0, 1, 0).sum())
+
+
+if __name__ == "__main__":
+    main()

year_2021/code/day_2.py

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+
+
+
+with open("/home/yassinealouini/Documents/code/advent_of_code/aoc/year_2021/data/2.txt") as f:
+    data = f.read().rstrip().split("\n")
+    directions = []
+    steps = []
+    for row in data:
+        direction, step = row.rstrip().split(" ")
+        directions.append(direction)
+        steps.append(int(step))
+
+
+def main():
+    start = [0, 0]
+    for direction, step in zip(directions, steps):
+        if direction == "forward":
+            start[0] += step
+        if direction == "down":
+            start[1] += step
+        if direction == "up":
+            start[1] -= step
+
+    print("Solution to part I is: ", start[0] * start[1])
+
+    start = [0, 0, 0]
+    for direction, step in zip(directions, steps):
+        if direction == "forward":
+            start[0] += step
+            start[1] += step * start[2]
+        if direction == "down":
+            start[2] += step
+        if direction == "up":
+            start[2] -= step
+
+    print("Solution to part II is: ", start[0] * start[1])
+
+
+def streamlit_2(day_input):
+    import streamlit as st
+    data = day_input.rstrip().split("\n")
+    print(data)
+    directions = []
+    steps = []
+    for row in data:
+        direction, step = row.rstrip().split(" ")
+        directions.append(direction)
+        steps.append(int(step))
+
+    start = [0, 0]
+    for direction, step in zip(directions, steps):
+        if direction == "forward":
+            start[0] += step
+        if direction == "down":
+            start[1] += step
+        if direction == "up":
+            start[1] -= step
+
+    st.write("Solution to part I is: ", start[0] * start[1])
+
+    start = [0, 0, 0]
+    for direction, step in zip(directions, steps):
+        if direction == "forward":
+            start[0] += step
+            start[1] += step * start[2]
+        if direction == "down":
+            start[2] += step
+        if direction == "up":
+            start[2] -= step
+
+    st.write("Solution to part II is: ", start[0] * start[1])
+
+
+if __name__ == "__main__":
+    main()

year_2021/code/day_3.py

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+import numpy as np
+from collections import Counter
+
+def main():
+
+    def most_common_2d(data):
+        return [Counter(col).most_common()[0][0] for col in zip(*data)]
+
+    def least_common_2d(data):
+        return [Counter(col).most_common()[-1][0] for col in zip(*data)]
+
+    def Counter_2d(data):
+        return [Counter(col) for col in zip(*data)]
+
+    def search(data, to_search="1"):
+        if to_search == "1":
+            most_common_index = 0
+        else:
+            most_common_index = -1
+        previous_keep = data
+        for i in range(len(data[0])):
+            counts = Counter_2d(previous_keep)
+            keep = []
+            for row in previous_keep:
+                if (row[i] == counts[i].most_common()[most_common_index][0] and 
+                    counts[i]["0"] != counts[i]["1"]):
+                    keep.append(row)
+                elif counts[i]["0"] == counts[i]["1"]:
+                    if row[i] == to_search:
+                        keep.append(row)
+            previous_keep = keep
+        return int("".join(previous_keep[0]), 2)
+
+
+    with open("/home/yassinealouini/Documents/code/advent_of_code/aoc/year_2021/data/3.txt") as f:
+        tmp = f.read().rstrip().split("\n")
+        data = []
+        for row in tmp:
+            data.append([e for e in row])
+
+
+    gamma = int("".join(most_common_2d(data)), 2)
+    epsilon = int("".join(least_common_2d(data)), 2)
+
+    print("Solution to part I: ", gamma * epsilon)
+
+
+    oxygen = search(data, "1")
+    co2 =  search(data, "0")
+
+
+    print("Solution to part II: ", oxygen * co2)
+
+
+
+def streamlit_torch_3(data_input):
+    """ Day 3 of AoC using PyTorch
+    """
+    import torch
+    import streamlit as st
+    st.write("Solution to part I: ", 0)
+
+if __name__ == "__main__":
+    main()

year_2021/code/day_4.py

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+
+
+
+def main():
+    import numpy as np
+    from collections import defaultdict
+    with open("/home/yassinealouini/Documents/code/advent_of_code/aoc/year_2021/data/4.txt") as f:
+        tmp = f.read().rstrip().split("\n")
+
+        draws = [int(e) for e in tmp[0].split(",")]
+
+        # Make the bingo boards
+        boards = defaultdict(lambda: np.zeros((5, 5)))
+        board_id = 0
+        data =  tmp[2:]
+        for i, row in enumerate(data):
+            if (i + 1) % 6 == 0:
+                board_id += 1
+                continue
+            boards[board_id][i%6, :] = [int(e) for e in row.split(" ") if e != ""]
+    
+    board_won = {k: 0 for k in boards.keys()}
+    for draw in draws:
+        for board_id, board in boards.items():  
+            board = np.where(board == draw, -1, board)
+            boards[board_id] = board
+            if (board.sum(axis=1) == -5).any() or (board.sum(axis=0) == -5).any():
+                if sum(board_won.values())  == 0:
+                    print("Solution for part I: ", board[(board > -1)].sum() * draw)
+                board_won[board_id] = 1
+
+            if sum(board_won.values()) == len(boards):
+                print("Solution for part II: ", board[(board > -1)].sum() * draw)
+                return
+
+def streamlit_4(data_input):
+    import numpy as np
+    from collections import defaultdict
+    import streamlit as st
+    tmp = data_input.rstrip().split("\n")
+
+    draws = [int(e) for e in tmp[0].split(",")]
+
+    # Make the bingo boards
+    boards = defaultdict(lambda: np.zeros((5, 5)))
+    board_id = 0
+    data =  tmp[2:]
+    for i, row in enumerate(data):
+        if (i + 1) % 6 == 0:
+            board_id += 1
+            continue
+        boards[board_id][i%6, :] = [int(e) for e in row.split(" ") if e != ""]
+    
+    board_won = {k: 0 for k in boards.keys()}
+    for draw in draws:
+        for board_id, board in boards.items():  
+            board = np.where(board == draw, -1, board)
+            boards[board_id] = board
+            if (board.sum(axis=1) == -5).any() or (board.sum(axis=0) == -5).any():
+                if sum(board_won.values())  == 0:
+                    st.write("Solution for part I: ", board[(board > -1)].sum() * draw)
+                board_won[board_id] = 1
+
+            if sum(board_won.values()) == len(boards):
+                st.write("Solution for part II: ", board[(board > -1)].sum() * draw)
+                return                
+
+if __name__ == "__main__":
+    main()

year_2021/code/day_5.py

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+def main():
+    import numpy as np
+    import re
+    with open("/home/yassinealouini/Documents/code/advent_of_code/aoc/year_2021/data/5.txt") as f:
+        tmp = f.read().rstrip().split("\n")
+
+    # Using complex numbers as (x, y) representation
+    starts, ends = [], []
+    for row in tmp:
+        x1, y1, x2, y2 = re.findall(r'\d+', row)
+        starts.append(int(x1) + 1j * int(y1))
+        ends.append(int(x2) + 1j * int(y2))
+    # Dimensions of the grid
+    d = max(map(abs, starts)) + 1
+
+    def solve(part_2=False):
+        a = np.zeros((int(d), int(d)))
+        for start_point, end_point in zip(starts, ends):
+
+            if part_2:
+                # Compute cosine and sine to find if diagonal or anti-diagonal
+                diff = start_point - end_point
+                c = (diff.real) / abs(diff)
+                s = (diff.imag) / abs(diff)
+                start_x = min(int(start_point.real), int(end_point.real))
+                end_x = max(int(start_point.real), int(end_point.real))
+                start_y = min(int(start_point.imag), int(end_point.imag))
+                end_y = max(int(start_point.imag), int(end_point.imag))
+                sliced_a = a[start_x: end_x + 1, start_y: end_y + 1]
+                if round(s * c, 1) == 0.5:
+                    np.fill_diagonal(sliced_a, 
+                                     sliced_a.diagonal() + 1)
+                elif round(s * c, 1) == -0.5:
+                    # Flip the sliced matrix to fill the diagonal
+                    np.fill_diagonal(np.fliplr(sliced_a), 
+                                     np.fliplr(sliced_a).diagonal() + 1)
+            if start_point.real == end_point.real:
+                start = min(int(start_point.imag), int(end_point.imag))
+                end = max(int(start_point.imag), int(end_point.imag))
+                a[int(start_point.real), start: end + 1] += 1
+            elif start_point.imag == end_point.imag:
+                start = min(int(start_point.real), int(end_point.real))
+                end = max(int(start_point.real), int(end_point.real))
+                a[start: end + 1, int(start_point.imag)] += 1
+        return a
+    
+    print("Solution to part I: ", (solve()>= 2).sum())
+    print("Solution to part II: ", (solve(part_2=True)>= 2).sum())
+
+
+def streamlit_5(data_input):
+    """ Day 5 solution (mainly using numpy)
+    """
+    import numpy as np
+    import re
+    import streamlit as st
+
+    tmp = data_input.rstrip().split("\n")
+
+    # Using complex numbers as (x, y) representation
+    starts, ends = [], []
+    for row in tmp:
+        x1, y1, x2, y2 = re.findall(r'\d+', row)
+        starts.append(int(x1) + 1j * int(y1))
+        ends.append(int(x2) + 1j * int(y2))
+
+    # Dimension of the grid
+    d = max(map(abs, starts)) + 1
+
+    def solve(part_2=False):
+        a = np.zeros((int(d), int(d)))
+        for start_point, end_point in zip(starts, ends):
+            start_x = min(int(start_point.real), int(end_point.real))
+            end_x = max(int(start_point.real), int(end_point.real))
+            start_y = min(int(start_point.imag), int(end_point.imag))
+            end_y = max(int(start_point.imag), int(end_point.imag))
+            # Compute cosine and sine to find if diagonal or anti-diagonal
+            diff = start_point - end_point
+            c = (diff.real) / abs(diff)
+            s = (diff.imag) / abs(diff)
+            sliced_a = a[start_x: end_x + 1, start_y: end_y + 1]
+            criterion = round(s * c, 1)
+            if part_2:
+                if criterion == 0.5:
+                    np.fill_diagonal(sliced_a, sliced_a.diagonal() + 1)
+                elif criterion == -0.5:
+                    # Need to flip the sliced matrix to get the correct diagonal
+                    np.fill_diagonal(np.fliplr(sliced_a), 
+                                     np.fliplr(sliced_a).diagonal() + 1)
+            # Either horizontal or vertical
+            if criterion == 0:
+                sliced_a += 1
+        return a
+    
+    st.write("Solution to part I: ", (solve()>= 2).sum())
+    st.write("Solution to part II: ", (solve(part_2=True)>= 2).sum())
+
+if __name__ == "__main__":
+    main()

year_2021/data/1.txt

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+
+80 50 29 53 92
+66 90 79 98 46
+40 21 58 38 60
+35 13 72 28  6
+48 76 51 96 12
+
+79 80 24 37 51
+86 70  1 22 71
+52 69 10 83 13
+12 40  3  0 30
+46 50 48 76  5

year_2021/data/4_debug.txt

@@ -0,0 +1,19 @@
+7,4,9,5,11,17,23,2,0,14,21,24,10,16,13,6,15,25,12,22,18,20,8,19,3,26,1
+
+22 13 17 11  0
+ 8  2 23  4 24
+21  9 14 16  7
+ 6 10  3 18  5
+ 1 12 20 15 19
+
+ 3 15  0  2 22
+ 9 18 13 17  5
+19  8  7 25 23
+20 11 10 24  4
+14 21 16 12  6
+
+14 21 17 24  4
+10 16 15  9 19
+18  8 23 26 20
+22 11 13  6  5
+ 2  0 12  3  7

year_2021/data/5.txt

@@ -0,0 +1,500 @@
+720,475 -> 720,669
+268,784 -> 595,784
+163,778 -> 149,778
+856,917 -> 856,114
+929,964 -> 433,964
+344,924 -> 332,912
+73,923 -> 73,568
+714,501 -> 714,903
+95,968 -> 95,696
+575,615 -> 575,218
+233,182 -> 233,295
+90,752 -> 90,278
+683,21 -> 419,21
+714,172 -> 60,172
+836,248 -> 836,39
+770,53 -> 284,539
+528,682 -> 528,583
+407,360 -> 708,59
+451,671 -> 293,671
+418,446 -> 418,113
+948,283 -> 504,727
+975,494 -> 669,494
+911,896 -> 911,963
+843,855 -> 14,26
+558,340 -> 984,766
+260,909 -> 333,909
+127,864 -> 903,864
+896,174 -> 896,773
+989,981 -> 27,19
+525,907 -> 525,36
+226,276 -> 938,988
+285,694 -> 422,831
+985,857 -> 674,546
+559,436 -> 133,862
+12,70 -> 12,961
+412,185 -> 412,922
+94,174 -> 874,954
+435,840 -> 688,587
+43,405 -> 43,724
+494,826 -> 494,350
+591,985 -> 591,936
+440,251 -> 401,251
+341,816 -> 920,237
+80,901 -> 80,361
+962,544 -> 962,252
+26,732 -> 105,653
+821,54 -> 15,860
+519,731 -> 952,731
+723,869 -> 826,869
+752,176 -> 110,818
+849,163 -> 71,163
+136,748 -> 136,796
+301,390 -> 234,390
+87,896 -> 968,15
+603,388 -> 515,476
+866,345 -> 866,742
+477,263 -> 477,635
+391,675 -> 391,613
+460,925 -> 162,627
+12,841 -> 12,246
+712,964 -> 712,887
+18,984 -> 972,30
+931,85 -> 217,799
+591,848 -> 978,848
+87,210 -> 840,963
+816,645 -> 816,619
+183,710 -> 348,710
+39,861 -> 877,23
+233,529 -> 233,717
+20,43 -> 935,958
+979,988 -> 12,21
+941,241 -> 855,241
+416,507 -> 422,501
+410,978 -> 971,978
+883,574 -> 883,440
+458,865 -> 912,865
+113,814 -> 952,814
+942,654 -> 545,654
+512,78 -> 582,78
+102,927 -> 910,119
+157,874 -> 76,793
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+74,956 -> 981,49
+733,913 -> 496,676
+32,776 -> 32,556
+676,890 -> 676,709
+18,568 -> 18,725
+708,531 -> 167,531
+240,33 -> 240,356
+804,380 -> 804,735
+925,85 -> 925,74
+692,287 -> 692,526
+570,451 -> 570,379
+521,13 -> 521,226
+249,598 -> 677,170
+739,804 -> 353,418
+785,138 -> 375,548
+913,161 -> 286,788
+179,914 -> 158,935
+208,250 -> 208,29
+953,506 -> 953,84
+904,328 -> 347,885
+743,311 -> 980,311
+897,988 -> 981,988
+269,660 -> 534,660
+180,443 -> 125,443
+101,713 -> 513,713
+491,523 -> 265,749
+33,165 -> 140,272
+813,544 -> 305,36
+735,556 -> 605,556
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+67,69 -> 942,944
+623,118 -> 920,118
+681,764 -> 745,764
+182,499 -> 884,499
+51,921 -> 787,185
+632,232 -> 577,232
+887,112 -> 12,987
+943,881 -> 255,881
+655,293 -> 163,785
+453,96 -> 517,160
+581,870 -> 581,481
+473,936 -> 638,771
+264,719 -> 137,592
+659,336 -> 659,75
+781,29 -> 365,445
+93,677 -> 240,530
+798,566 -> 594,566
+108,244 -> 108,634
+69,879 -> 592,879
+763,700 -> 763,351
+227,108 -> 916,797
+149,328 -> 149,641
+809,586 -> 776,619
+177,308 -> 319,166
+970,880 -> 156,66
+427,765 -> 427,433
+483,771 -> 39,771
+813,895 -> 416,895
+808,151 -> 808,823
+412,797 -> 412,673
+368,965 -> 368,191
+269,776 -> 409,636
+509,895 -> 509,281
+873,863 -> 873,746
+622,788 -> 623,788
+274,212 -> 301,212
+335,804 -> 172,641
+661,864 -> 620,864
+506,951 -> 178,951
+611,609 -> 611,508
+255,79 -> 255,479
+443,788 -> 441,790
+548,738 -> 616,738
+535,407 -> 535,845
+365,469 -> 622,469
+541,670 -> 534,670
+49,52 -> 922,925
+433,412 -> 917,412
+475,494 -> 78,891
+377,47 -> 377,384
+401,22 -> 479,22
+642,889 -> 642,988
+788,334 -> 788,375
+533,327 -> 217,327
+529,934 -> 529,368
+917,491 -> 280,491
+922,510 -> 922,483
+695,104 -> 695,783
+884,197 -> 192,889
+175,956 -> 956,175
+384,711 -> 384,181
+28,931 -> 28,732
+768,522 -> 762,522
+816,964 -> 541,689
+192,423 -> 668,899
+742,133 -> 139,133
+829,708 -> 915,708
+927,989 -> 72,134
+819,851 -> 819,470
+326,699 -> 112,699
+166,82 -> 370,286
+801,621 -> 219,39
+392,332 -> 392,375
+170,526 -> 549,526
+296,907 -> 296,378
+912,456 -> 912,814
+869,346 -> 648,346
+545,224 -> 622,224
+626,657 -> 221,657
+829,313 -> 829,626
+565,758 -> 565,298
+113,810 -> 89,834
+729,418 -> 679,418
+626,794 -> 805,794
+811,568 -> 811,564
+902,600 -> 735,600
+776,519 -> 448,519
+874,890 -> 321,337
+479,96 -> 479,153
+331,396 -> 158,396
+420,413 -> 73,413
+845,949 -> 49,153
+55,624 -> 55,413
+349,761 -> 116,761
+429,252 -> 429,384
+310,340 -> 208,340
+208,692 -> 726,174
+648,66 -> 648,685
+567,580 -> 858,871
+747,57 -> 430,57
+97,951 -> 850,198
+420,670 -> 420,518
+583,308 -> 367,308
+240,983 -> 219,983
+404,901 -> 135,901
+118,126 -> 118,166
+981,316 -> 727,62
+512,262 -> 512,761
+445,758 -> 747,758
+320,505 -> 252,437
+739,379 -> 556,562
+509,791 -> 587,713
+747,271 -> 196,822
+70,132 -> 906,968
+90,580 -> 90,881
+273,529 -> 273,886
+786,443 -> 830,443
+116,903 -> 116,130
+822,597 -> 822,430
+585,875 -> 736,875
+470,649 -> 740,649
+814,533 -> 814,20
+235,468 -> 921,468
+413,262 -> 413,37
+963,761 -> 963,389
+919,445 -> 919,112
+788,800 -> 513,525
+770,783 -> 262,275
+601,330 -> 504,330
+882,668 -> 760,790
+450,431 -> 675,431
+599,400 -> 344,400
+887,19 -> 17,889
+420,86 -> 420,202
+95,871 -> 726,240
+337,558 -> 571,558
+493,555 -> 934,114
+804,112 -> 88,828
+785,673 -> 785,304
+27,285 -> 27,865
+200,379 -> 238,341
+303,383 -> 140,546
+245,757 -> 33,757
+960,526 -> 516,526
+303,933 -> 986,250
+571,848 -> 571,781
+812,804 -> 28,804
+752,877 -> 752,278
+855,847 -> 63,55
+720,740 -> 645,740
+872,789 -> 206,123
+189,618 -> 189,567
+952,141 -> 952,235
+81,523 -> 81,577
+859,139 -> 449,139
+977,978 -> 551,978
+30,15 -> 855,840
+344,65 -> 842,65
+435,414 -> 318,414
+324,813 -> 902,235
+18,20 -> 977,979
+606,373 -> 827,152
+678,881 -> 277,480
+81,196 -> 81,176
+652,528 -> 546,528
+673,310 -> 673,503
+413,494 -> 413,859
+393,310 -> 139,310
+485,157 -> 368,157
+152,611 -> 362,401
+929,346 -> 929,220
+577,102 -> 577,589
+20,843 -> 882,843
+261,69 -> 988,796
+417,37 -> 90,37
+368,469 -> 149,250
+651,785 -> 179,313
+953,759 -> 953,31
+534,215 -> 534,199
+375,908 -> 375,11
+408,571 -> 408,224
+146,88 -> 146,16
+923,843 -> 923,11
+885,605 -> 908,605
+383,288 -> 698,288
+955,409 -> 379,409
+10,579 -> 10,143
+487,277 -> 918,708
+240,800 -> 508,532
+655,121 -> 655,956
+277,208 -> 277,395
+242,430 -> 654,430
+518,982 -> 143,982
+626,758 -> 626,125
+90,67 -> 963,940
+57,11 -> 979,933
+777,29 -> 777,669
+747,672 -> 516,672
+915,878 -> 915,964
+678,941 -> 678,738
+967,645 -> 967,814
+356,293 -> 356,143
+282,710 -> 585,710
+210,126 -> 210,836
+77,122 -> 270,122
+976,956 -> 655,956
+129,394 -> 697,962
+621,94 -> 621,265
+431,619 -> 431,349
+551,990 -> 551,666
+379,681 -> 109,411
+713,94 -> 832,94
+800,776 -> 437,413
+261,517 -> 261,551
+245,963 -> 245,807
+890,888 -> 890,269
+591,455 -> 591,494
+243,756 -> 166,756
+372,303 -> 805,303
+22,459 -> 22,138
+44,248 -> 44,689
+219,629 -> 219,646
+444,633 -> 777,300
+679,102 -> 679,945
+950,123 -> 250,823
+485,264 -> 485,963
+313,355 -> 445,355
+791,823 -> 895,823
+914,193 -> 495,612
+174,932 -> 351,932
+509,989 -> 813,685
+830,559 -> 830,65
+762,779 -> 84,101
+66,432 -> 129,432
+224,705 -> 777,152
+377,280 -> 93,280
+799,313 -> 713,313
+972,496 -> 972,250
+321,978 -> 488,978
+74,227 -> 682,835
+434,827 -> 122,827
+206,329 -> 536,659
+591,355 -> 591,967
+838,436 -> 892,382
+62,889 -> 878,73
+146,948 -> 530,564
+308,510 -> 308,783
+158,355 -> 158,469
+375,239 -> 375,961
+754,281 -> 774,281
+818,554 -> 818,922
+204,38 -> 344,38
+689,283 -> 587,283
+642,820 -> 862,600
+865,821 -> 865,335
+51,870 -> 51,117
+628,769 -> 129,270
+860,300 -> 860,666
+626,47 -> 626,915
+222,733 -> 449,733
+284,842 -> 284,717
+965,834 -> 697,834
+159,826 -> 159,732
+710,679 -> 907,482
+356,355 -> 36,355
+736,289 -> 577,130
+589,319 -> 96,319
+967,20 -> 31,956
+138,871 -> 138,446
+272,174 -> 272,753
+958,228 -> 958,842
+159,115 -> 576,532
+244,986 -> 244,662
+191,160 -> 191,376
+979,987 -> 11,19
+588,700 -> 588,819
+76,933 -> 404,605
+142,656 -> 142,906
+390,429 -> 859,898
+802,499 -> 380,499
+18,988 -> 969,37
+61,154 -> 61,569
+803,47 -> 803,963
+148,597 -> 148,454
+368,221 -> 174,27
+416,351 -> 510,351
+27,979 -> 950,979
+861,937 -> 103,937
+49,889 -> 876,62
+429,737 -> 555,737
+940,704 -> 940,663
+644,379 -> 661,379
+956,589 -> 956,423
+836,119 -> 237,119
+841,211 -> 154,898
+743,438 -> 743,370
+691,155 -> 990,155
+531,768 -> 56,293
+853,103 -> 110,846
+411,673 -> 411,126
+824,876 -> 406,876
+516,639 -> 98,639
+583,353 -> 901,353
+64,898 -> 858,898
+874,233 -> 874,551
+294,830 -> 294,244
+921,27 -> 86,862
+695,747 -> 56,108
+442,552 -> 442,624
+731,431 -> 905,431
+320,56 -> 139,56
+450,96 -> 510,156
+628,803 -> 65,803
+102,855 -> 782,175
+399,877 -> 940,877
+766,664 -> 757,664
+705,455 -> 407,753
+924,458 -> 408,458
+302,272 -> 536,38
+269,274 -> 269,196
+368,124 -> 935,124
+151,686 -> 151,629
+171,857 -> 171,62
+81,895 -> 953,23
+150,95 -> 150,955
+325,16 -> 102,16
+148,775 -> 144,775
+742,449 -> 742,715
+706,284 -> 706,865
+857,309 -> 754,206
+866,818 -> 140,92
+13,768 -> 956,768
+775,514 -> 132,514
+868,407 -> 868,516
+13,11 -> 989,987
+428,296 -> 19,705
+544,665 -> 376,497
+371,619 -> 371,512
+657,551 -> 907,551
+571,324 -> 765,324
+555,539 -> 295,799
+854,956 -> 854,85
+152,255 -> 719,822
+162,519 -> 868,519
+276,235 -> 276,693
+58,870 -> 739,189
+731,229 -> 613,347
+469,378 -> 469,44
+30,909 -> 929,10
+474,423 -> 256,205
+810,263 -> 810,545
+230,244 -> 741,244
+892,709 -> 394,709
+141,87 -> 912,858
+280,820 -> 907,193
+935,897 -> 101,63
+283,15 -> 283,170
+122,749 -> 761,110
+265,475 -> 265,390
+286,464 -> 891,464
+793,819 -> 793,659
+372,96 -> 372,591
+436,732 -> 436,527
+48,301 -> 429,301
+696,298 -> 696,294
+757,553 -> 438,872
+635,856 -> 239,856
+312,987 -> 989,987
+388,599 -> 546,599
+235,391 -> 581,391
+696,340 -> 696,215
+852,485 -> 105,485
+931,586 -> 803,714
+956,164 -> 198,922
+305,274 -> 305,979
+363,774 -> 363,81
+431,957 -> 431,460
+118,439 -> 512,833
+193,318 -> 494,619
+796,819 -> 332,819
+911,764 -> 865,810
+282,482 -> 128,482
+551,244 -> 694,244
+947,142 -> 45,142
+653,57 -> 131,57
+822,720 -> 721,720
+861,871 -> 125,135
+950,698 -> 597,698

year_2021/data/5_debug.txt

@@ -0,0 +1,10 @@
+0,9 -> 5,9
+8,0 -> 0,8
+9,4 -> 3,4
+2,2 -> 2,1
+7,0 -> 7,4
+6,4 -> 2,0
+0,9 -> 2,9
+3,4 -> 1,4
+0,0 -> 8,8
+5,5 -> 8,2

year_2021/data/5_debug_2.txt

@@ -0,0 +1,3 @@
+0,3 -> 2,3
+3,0 -> 0,3
+0,0 -> 3,3