11-1 fertig

.idea/misc.xml

@@ -3,7 +3,7 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.11 (AdventOfCode2023)" />
   </component>
-  <component name="ProjectRootManager" version="2" languageLevel="JDK_21" project-jdk-name="Python 3.11 (AdventOfCode2023)" project-jdk-type="Python SDK">
+  <component name="ProjectRootManager" version="2" languageLevel="JDK_21" project-jdk-name="Python 3.10 (AdventOfCode2023)" project-jdk-type="Python SDK">
     <output url="file://$PROJECT_DIR$/out" />
   </component>
 </project>

05/05-2-multiprocess-with-gpu-cc.py

@@ -0,0 +1,117 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+from multiprocessing import Pool
+from time import time
+import numpy as np
+from numba import njit
+
+start = time()
+
+seeds = np.ndarray([])  # 0
+seed_to_soil = []  # 1
+soil_to_fertilizer = []  # 2
+fertilizer_to_water = []  # 3
+water_to_light = []  # 4
+light_to_temperature = []  # 5
+temperature_to_humidity = []  # 6
+humidity_to_location = []  # 7
+
+list_number = 0
+# parse input
+input_file = open("input", "r")
+for line in input_file:
+    line = line.strip()
+    if line == "":
+        continue
+    if line.startswith('seeds: '):
+        seeds = [int(x) for x in line.replace('seeds: ', '').split()]
+    if line == "seed-to-soil map:":
+        list_number = 1
+        continue
+    if line == "soil-to-fertilizer map:":
+        list_number = 2
+        continue
+    if line == "fertilizer-to-water map:":
+        list_number = 3
+        continue
+    if line == "water-to-light map:":
+        list_number = 4
+        continue
+    if line == "light-to-temperature map:":
+        list_number = 5
+        continue
+    if line == "temperature-to-humidity map:":
+        list_number = 6
+        continue
+    if line == "humidity-to-location map:":
+        list_number = 7
+        continue
+    if list_number == 1:
+        seed_to_soil.append([int(x) for x in line.split()])
+    elif list_number == 2:
+        soil_to_fertilizer.append([int(x) for x in line.split()])
+    elif list_number == 3:
+        fertilizer_to_water.append([int(x) for x in line.split()])
+    elif list_number == 4:
+        water_to_light.append([int(x) for x in line.split()])
+    elif list_number == 5:
+        light_to_temperature.append([int(x) for x in line.split()])
+    elif list_number == 6:
+        temperature_to_humidity.append([int(x) for x in line.split()])
+    elif list_number == 7:
+        humidity_to_location.append([int(x) for x in line.split()])
+input_file.close()
+
+seed_to_soil = np.asarray(seed_to_soil)
+soil_to_fertilizer = np.asarray(soil_to_fertilizer)
+fertilizer_to_water = np.asarray(fertilizer_to_water)
+water_to_light = np.asarray(water_to_light)
+light_to_temperature = np.asarray(light_to_temperature)
+temperature_to_humidity = np.asarray(temperature_to_humidity)
+humidity_to_location = np.asarray(humidity_to_location)
+
+
+@njit
+def find_dest(num, map_list):
+    for m in map_list:
+        if m[1] <= num < m[1] + m[2]:
+            return num - m[1] + m[0]
+    return num
+
+
+@njit
+def find_min(seed, ra):
+    min_location = - 1
+    print(f"gestartet: Seed: {seed} Range: {ra}")
+    for s in range(seed, seed + ra):
+        soil = find_dest(s, seed_to_soil)
+        fertilizer = find_dest(soil, soil_to_fertilizer)
+        water = find_dest(fertilizer, fertilizer_to_water)
+        light = find_dest(water, water_to_light)
+        temperature = find_dest(light, light_to_temperature)
+        humidity = find_dest(temperature, temperature_to_humidity)
+        location = find_dest(humidity, humidity_to_location)
+        if min_location == -1:
+            min_location = location
+        elif location < min_location:
+            min_location = location
+    print(f"beendet.. Seed: {seed} Range: {ra} MinLocation: {min_location}")
+    return min_location
+
+
+if __name__ == '__main__':
+    num_processes = 10
+
+    input_data = []
+    for i in range(0, len(seeds), 2):
+        input_data.append((seeds[i], seeds[i+1]))
+    # input_data manuell erstellt:
+    #    input_data = [(seeds[0], seeds[1]), (seeds[2], seeds[3]), (seeds[4], seeds[5]), (seeds[6], seeds[7]),
+    #                  (seeds[8], seeds[9]), (seeds[10], seeds[11]), (seeds[12], seeds[13]), (seeds[14], seeds[15]),
+    #                  (seeds[16], seeds[17]), (seeds[18], seeds[19])]
+
+    with Pool(processes=num_processes) as pool:
+        results = pool.starmap(find_min, input_data)
+    print(results)
+    print(f"kleinste Location: {min(results)}")
+    print(f"Script beendet! Benötigte Zeit in Sekunden: {int(time()-start)}")

10/10-2.py

@@ -5,7 +5,7 @@ part_sum = 0
 matrix = []
 
 # read matrix like day 3
-input_file = open("input", "r")
+input_file = open("input-ex41", "r")
 for line in input_file:
     matrix.append(line.strip())
 input_file.close()
@@ -71,12 +71,13 @@ def where_to_go(z, s, pre):
 
 
 previous = (start[0], start[1])
-aktuell = [start[0]-1, start[1]]
+aktuell = [start[0], start[1]+1]
 count = 1
 
 while True:
     new = where_to_go(aktuell[0], aktuell[1], previous)
     print(aktuell, previous, new)
+    matrix[aktuell[0]] = matrix[aktuell[0]][:aktuell[1]] + "X" + matrix[aktuell[0]][aktuell[1]+1:]
     if new == "Ende":
         break
     else:
@@ -87,3 +88,6 @@ while True:
 print("Counter:", count)
 print("HalfCounter:", count/2)
 
+for i in matrix:
+    print(i)
+

10/input-ex31

@@ -0,0 +1,9 @@
+...........
+.S-------7.
+.|F-----7|.
+.||.....||.
+.||.....||.
+.|L-7.F-J|.
+.|..|.|..|.
+.L--J.L--J.
+...........

10/input-ex41

@@ -0,0 +1,10 @@
+.F----7F7F7F7F-7....
+.|F--7||||||||FJ....
+.||.FJ||||||||L7....
+FJL7L7LJLJ||LJ.L-7..
+L--J.L7...LJS7F-7L7.
+....F-J..F7FJ|L7L7L7
+....L7.F7||L7|.L7L7|
+.....|FJLJ|FJ|F7|.LJ
+....FJL-7.||.||||...
+....L---J.LJ.LJLJ...

11/11-1.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+data = []
+
+# read matrix like day 3
+input_file = open("input", "r")
+for line in input_file:
+    line = line.strip()
+    data.append(line)
+    if line.count(".") == len(line):  # Zeilen ohne # gleich verdoppeln
+        data.append(line)
+input_file.close()
+
+zeilen = len(data)
+spalten = len(data[0])
+
+# zum test mal ausgeben
+for da in data:
+    print(da)
+print(zeilen, spalten)
+
+# leere Spalten ermitteln
+freie_spalten = [1 for i in range(spalten)]
+for da in data:
+    for i in range(spalten):
+        if da[i] == "#":
+            freie_spalten[i] = 0
+
+print(freie_spalten)
+# Spalten verbreitern
+new_data = []
+for da in data:
+    for i in range(len(freie_spalten)-1, -1, -1):
+        if freie_spalten[i] == 1:
+            da = da[:i] + ".." + da[i+1:]
+    new_data.append(da)
+
+# Testausgabe neue Matrix
+for da in new_data:
+    print(da)
+zeilen = len(new_data)
+spalten = len(new_data[0])
+print(zeilen, spalten)
+
+koor_list = []
+for z in range(len(new_data)):
+    for s in range(len(new_data[0])):
+        if new_data[z][s] == "#":
+            koor_list.append([z, s])
+print(koor_list)
+
+summe = 0
+for k in range(len(koor_list)):
+    for m in range(k+1, len(koor_list)):
+        summe += abs(koor_list[m][0] - koor_list[k][0])
+        summe += abs(koor_list[m][1] - koor_list[k][1])
+print(summe)

11/input

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11/input-ex

@@ -0,0 +1,10 @@
+...#......
+.......#..
+#.........
+..........
+......#...
+.#........
+.........#
+..........
+.......#..
+#...#.....