BlablaChallenge

.vscode/c_cpp_properties.json

@@ -0,0 +1,18 @@
+{
+  "configurations": [
+    {
+      "name": "windows-gcc-x64",
+      "includePath": [
+        "${workspaceFolder}/**"
+      ],
+      "compilerPath": "gcc",
+      "cStandard": "${default}",
+      "cppStandard": "${default}",
+      "intelliSenseMode": "windows-gcc-x64",
+      "compilerArgs": [
+        ""
+      ]
+    }
+  ],
+  "version": 4
+}

.vscode/launch.json

@@ -0,0 +1,24 @@
+{
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "C/C++ Runner: Debug Session",
+      "type": "cppdbg",
+      "request": "launch",
+      "args": [],
+      "stopAtEntry": false,
+      "externalConsole": true,
+      "cwd": "c:/Users/toshiba/Desktop/appGIT/blanat",
+      "program": "c:/Users/toshiba/Desktop/appGIT/blanat/build/Debug/outDebug",
+      "MIMode": "gdb",
+      "miDebuggerPath": "gdb",
+      "setupCommands": [
+        {
+          "description": "Enable pretty-printing for gdb",
+          "text": "-enable-pretty-printing",
+          "ignoreFailures": true
+        }
+      ]
+    }
+  ]
+}

.vscode/settings.json

@@ -0,0 +1,59 @@
+{
+  "C_Cpp_Runner.cCompilerPath": "gcc",
+  "C_Cpp_Runner.cppCompilerPath": "g++",
+  "C_Cpp_Runner.debuggerPath": "gdb",
+  "C_Cpp_Runner.cStandard": "",
+  "C_Cpp_Runner.cppStandard": "",
+  "C_Cpp_Runner.msvcBatchPath": "",
+  "C_Cpp_Runner.useMsvc": false,
+  "C_Cpp_Runner.warnings": [
+    "-Wall",
+    "-Wextra",
+    "-Wpedantic",
+    "-Wshadow",
+    "-Wformat=2",
+    "-Wcast-align",
+    "-Wconversion",
+    "-Wsign-conversion",
+    "-Wnull-dereference"
+  ],
+  "C_Cpp_Runner.msvcWarnings": [
+    "/W4",
+    "/permissive-",
+    "/w14242",
+    "/w14287",
+    "/w14296",
+    "/w14311",
+    "/w14826",
+    "/w44062",
+    "/w44242",
+    "/w14905",
+    "/w14906",
+    "/w14263",
+    "/w44265",
+    "/w14928"
+  ],
+  "C_Cpp_Runner.enableWarnings": true,
+  "C_Cpp_Runner.warningsAsError": false,
+  "C_Cpp_Runner.compilerArgs": [],
+  "C_Cpp_Runner.linkerArgs": [],
+  "C_Cpp_Runner.includePaths": [],
+  "C_Cpp_Runner.includeSearch": [
+    "*",
+    "**/*"
+  ],
+  "C_Cpp_Runner.excludeSearch": [
+    "**/build",
+    "**/build/**",
+    "**/.*",
+    "**/.*/**",
+    "**/.vscode",
+    "**/.vscode/**"
+  ],
+  "C_Cpp_Runner.useAddressSanitizer": false,
+  "C_Cpp_Runner.useUndefinedSanitizer": false,
+  "C_Cpp_Runner.useLeakSanitizer": false,
+  "C_Cpp_Runner.showCompilationTime": false,
+  "C_Cpp_Runner.useLinkTimeOptimization": false,
+  "C_Cpp_Runner.msvcSecureNoWarnings": false
+}

submissions/Souka21/solution.py

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+import csv
+
+MAX_PRICE = 100.00
+NUM_CHEAPEST_PRODUCTS = 5
+
+def process_city_data(filename):
+    """Process input CSV file to extract city data.
+
+    Args:
+        filename (str): The name of the input CSV file.
+
+    Returns:
+        dict: A dictionary containing city data indexed by city names.
+            Each city entry contains:
+                'total_price': Total price of all products in the city.
+                'cheapest_products': List of tuples containing the names and prices of the cheapest products.
+    """
+    cities = {}
+
+    with open(filename, 'r') as file:
+        reader = csv.reader(file)
+        next(reader)  # Skip header row
+        for row in reader:
+            city, product, price = row[0], row[1], float(row[2])
+            if city not in cities:
+                cities[city] = {'total_price': 0, 'cheapest_products': []}
+            cities[city]['total_price'] += price
+            cities[city]['cheapest_products'].append((product, price))
+
+    return cities
+
+def find_cheapest_city(cities):
+    """Find the city with the lowest total price.
+
+    Args:
+        cities (dict): A dictionary containing city data indexed by city names.
+
+    Returns:
+        str: The name of the city with the lowest total price.
+    """
+    min_city = min(cities, key=lambda city: cities[city]['total_price'])
+    return min_city
+
+def find_cheapest_products(cities, min_city):
+    """Find the cheapest products in a given city.
+
+    Args:
+        cities (dict): A dictionary containing city data indexed by city names.
+        min_city (str): The name of the city for which to find the cheapest products.
+
+    Returns:
+        list: A list of tuples containing the names and prices of the cheapest products.
+    """
+    min_products = cities[min_city]['cheapest_products']
+    min_products.sort(key=lambda x: x[1])  # Sort cheapest products by price
+    return min_products[:NUM_CHEAPEST_PRODUCTS]
+
+def write_output(filename, min_city, min_products):
+    """Write the output to a file.
+
+    Args:
+        filename (str): The name of the output file.
+        min_city (str): The name of the city with the lowest total price.
+        min_products (list): A list of tuples containing the names and prices of the cheapest products.
+    """
+    with open(filename, 'w') as file:
+        file.write(f"{min_city} {sum(product[1] for product in min_products):.2f}\n")
+        for product in min_products:
+            file.write(f"{product[0]} {product[1]:.2f}\n")
+
+def main():
+    """Main function to execute the program."""
+    input_filename = 'input.txt'
+    output_filename = 'output.txt'
+
+    cities = {}
+    with open(input_filename, 'r') as file:
+        reader = csv.reader(file)
+        next(reader)  # Skip header row
+        for row in reader:
+            city, product, price = row[0], row[1], float(row[2])
+            if city not in cities:
+                cities[city] = {'total_price': 0, 'cheapest_products': []}
+            cities[city]['total_price'] += price
+            cities[city]['cheapest_products'].append((product, price))
+
+    min_city = min(cities, key=lambda city: cities[city]['total_price'])
+    min_products = cities[min_city]['cheapest_products']
+    min_products.sort(key=lambda x: x[1])  # Sort cheapest products by price
+    min_products = min_products[:NUM_CHEAPEST_PRODUCTS]
+
+    write_output(output_filename, min_city, min_products)
+
+if __name__ == "__main__":
+    main()
+