add_ci

.github/workflows/python-app.yml

@@ -36,7 +36,7 @@ jobs:
         # flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Test all files
       run: |
-        find . -name '*.py' ! -name 'day_5/*.py' -exec python {} \;
+        python ci.py
 
 
 

ci.py

@@ -0,0 +1,35 @@
+import subprocess
+import glob
+
+def run_all_python_files(files):
+
+    for file in files:
+        print("Running", file)
+        exit_code = run_python_script(file)
+        if exit_code != 0:
+            print(f"Error in {file}. Exiting with status code {exit_code}.")
+            return exit_code
+    return 0
+
+
+def run_python_script(file_path):
+    try:
+        subprocess.check_output(["python3", file_path], stderr=subprocess.STDOUT, universal_newlines=True)
+        return 0
+    except subprocess.CalledProcessError as e:
+        print(f"Exception in {file_path}: {e.output}")
+        return e.returncode
+
+
+if __name__ == "__main__":
+
+    # Utilisez le motif '*.py' pour rechercher tous les fichiers se terminant par '.py'
+    python_files = glob.glob('day_*/*.py')
+
+    # Affichez la liste des fichiers trouvés
+    print("Fichiers Python trouvés :")
+    for file in python_files:
+        print(file)
+    exit_code = run_all_python_files(python_files)
+    print(f"Exiting with status code {exit_code}.")
+    exit(exit_code)

day_5/main.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-filename = "input.txt"
+filename = "day_5/input_test.csv"
 
 try:
     with open(filename, 'r') as file:
@@ -20,6 +20,7 @@
 
 MAP_SIZE = int(max_integer*1.1)
 
+
 def string_to_int_list(input_string):
     # Split the string into a list of substrings
     substrings = input_string.split()
@@ -29,21 +30,23 @@ def string_to_int_list(input_string):
 
     return int_list
 
+
 def get_seeds(lines):
     seed_line = lines[0]
     seeds_str = seed_line.split(":")[1]
     seeds_list = string_to_int_list(seeds_str)
 
     new_seeds_list = np.empty(0) # np.zeros(len(MAP_SIZE))
     for i in range(0, len(seeds_list), 2):
-            print("progress seeds: " + str(int(i / len(seeds_list) /2 * 100)) + "%")
-            start = seeds_list[i]
-            range_seed = seeds_list[i + 1]
-            new_stuff = np.arange(start, start + range_seed)
-            new_seeds_list = np.concatenate((new_seeds_list, new_stuff))
+        print("progress seeds: " + str(int(i / len(seeds_list) /2 * 100)) + "%")
+        start = seeds_list[i]
+        range_seed = seeds_list[i + 1]
+        new_stuff = np.arange(start, start + range_seed)
+        new_seeds_list = np.concatenate((new_seeds_list, new_stuff))
 
     return new_seeds_list.astype(int)
 
+
 def build_map(name, map_size):
 
     map = np.arange(map_size)
@@ -65,10 +68,11 @@ def build_map(name, map_size):
 
             destination, source, range = string_to_int_list(line)
             # print(destination, source, range)
-            map[source : source + range] = np.arange(destination, destination + range)
+            map[source: source + range] = np.arange(destination, destination + range)
 
     return map
 
+
 with open(filename, 'r') as file:
     lines = file.readlines()
 seeds = get_seeds(lines)
@@ -129,4 +133,3 @@ def build_map(name, map_size):
 
 
 print(min(locations))
-