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Python
class Node: def __init__(self, key, value): self.key = key self.value = value self.next = None class LinkedList: def __init__(self): self.head = None def search(self, key): curr = self.head while curr != None: if curr.key == key: return curr curr = curr.next return None def insert(self, key, value): node = Node(key, value) node.next = self.head self.head = node def delete(self, key): prev = None curr = self.head while curr != None: if curr.key == key: if prev == None: self.head = curr.next else: prev.next = curr.next return True prev = curr curr = curr.next return False class HashMap: def __init__(self, capacity=16): self.capacity = capacity self.size = 0 self.table = [LinkedList() for _ in range(capacity)] def _hash(self, key): return hash(key) % self.capacity def get(self, key): index = self._hash(key) node = self.table[index].search(key) if node: return node.value return None def put(self, key, value): index = self._hash(key) node = self.table[index].search(key) if node: node.value = value else: self.table[index].insert(key, value) self.size += 1 if self.size > self.capacity * 0.75: self._resize() def delete(self, key): index = self._hash(key) if self.table[index].delete(key): self.size -= 1 def _resize(self): self.capacity *= 2 new_table = [LinkedList() for _ in range(self.capacity)] for bucket in self.table: curr = bucket.head while curr != None: index = self._hash(curr.key) new_table[index].insert(curr.key, curr.value) curr = curr.next self.table = new_table</blockquote>
<pre lang="Python">import csv from hashmap import HashMap from math import sin, cos, sqrt, atan2 # initialize variables to store data location_map = HashMap() item_map = HashMap() order_map = HashMap() def load_location_data(): with open('location_data.csv', 'r') as file: reader = csv.reader(file) for row in reader: location_name = row[0] inventory = row[1:] location_map[location_name] = inventory def load_order_data(): with open('order_data.csv', 'r') as file: reader = csv.reader(file) for row in reader: order_id = row[0] locations = row[1:] order_map[order_id] = locations def load_serialised_data(): with open('serialised_data.csv', 'r') as file: reader = csv.reader(file) for row in reader: location_name = row[0] item = row[1] quantity = int(row[2]) if location_name not in item_map: item_map[location_name] = {} item_map[location_name][item] = quantity def find_location_inventory(): location_name = input("Enter location name: ") inventory = location_map[location_name] print(f"Location inventory for {location_name}:") for item in inventory: print(item) def find_distance(): start_location = input("Enter starting location: ") end_location = input("Enter ending location: ") start_coords = tuple(float(x) for x in location_map[start_location][:2]) end_coords = tuple(float(x) for x in location_map[end_location][:2]) # calculate distance using Haversine formula earth_radius = 6371.01 # km lat1, lon1 = start_coords lat2, lon2 = end_coords delta_lat = lat2 - lat1 delta_lon = lon2 - lon1 a = (sin(delta_lat / 2)) ** 2 + cos(lat1) * cos(lat2) * (sin(delta_lon / 2)) ** 2 c = 2 * atan2(sqrt(a), sqrt(1 - a)) distance = earth_radius * c print(f"Distance from {start_location} to {end_location}: {distance:.2f} km") def find_order_route(): order_id = input("Enter order ID: ") locations = order_map[order_id] print(f"Route for order {order_id}:") total_distance = 0 for i in range(len(locations) - 1): start_location = locations[i] end_location = locations[i + 1] start_coords = tuple(float(x) for x in location_map[start_location][:2]) end_coords = tuple(float(x) for x in location_map[end_location][:2]) # calculate distance using Haversine formula earth_radius = 6371.01 # km lat1, lon1 = start_coords lat2, lon2 = end_coords delta_lat = lat2 - lat1 delta_lon = lon2 - lon1 a = (sin(delta_lat / 2)) ** 2 + cos(lat1) * cos(lat2) * (sin(delta_lon / 2)) ** 2 c = 2 * atan2(sqrt(a), sqrt(1 - a)) distance = earth_radius * c total_distance += distance print(f"From {start_location} to {end_location}: {distance:.2f} km") print(f"Total distance for order {order_id}: {total_distance:.2f} km") def location_overview(): print("Location overview:") for location, items in location_map.items(): print(f"{location}: {len(items)} items in inventory") def inventory_overview(inventory): total_items = 0 total_value = 0 for item, info in inventory.items(): total_items += info['quantity'] total_value += info['price'] * info['quantity'] print(f"{item.capitalize()}: {info['quantity']} units, ${info['price']} each") print(f"\nTotal number of items: {total_items}") print(f"Total value of inventory: ${total_value}") def save_data(): with open('serialised_data.csv', 'w', newline='') as file: writer = csv.writer(file) for loc, items in item_map.items(): for item, quantity in items.items(): writer.writerow([loc, item, quantity]) print("Data saved successfully") # menu loop while True: print("Welcome to the Interactive Menu:") print("1. Load data") print("2. Find and display location Inventory") print("3. Find and dislpay distance between two locations") print("4. Find and display route for collecting order") print("5. Location Overview") print("6. Inventory Overview") print("7. Save data") print("8. Exit") choice = input("Select which option you would like to choose: ") if choice == "1": load_location_data() load_order_data() load_serialised_data() print("Data successfully loaded") elif choice == "2": find_location_inventory() elif choice == "3": find_distance() elif choice == "4": find_order_route() elif choice == "5": location_overview() elif choice == "6": inventory_overview() elif choice == "7": save_data() print("Data saved successfully") elif choice == "8": #code for option8 print("Exiting the interactive menu") break else: print("Invalid option was selected")
私が試したこと：
The HashMap function wasn't originally written using linked lists, but the same errors were still present. I rewrote the code using a linked list to factor in the collisions that would be caused, but the same errors persisted. The main goal of the code is to make the interactive menu work by displaying the information that gets imported by the CSV files. Whenever I run the interactive menu and choose an option to run, I either get an attribute error or a typeerror that is associated with the HashMap file. I have tried rewriting the code in different forms but the same problem keeps coming back. The following is what is in the CSV files. location_data: "Location name", "products", "distance" "Location A", "Item 1, Item 2, Item 3, Item 4", "40.7128, -74.2312" "Location B", "Item 1, Item 2", "35.2321, -83.2415" "Location C", "Item 1, Item 2, Item 3", "41.1633, -52.2352" "Location D", "Item 1, Item 2, Item 3, Item 4, Item 5", "32.2512, -85.3425" order_data: "Order ID", "Order route" "Order 1", "Location A, Location B" "Order 2", "Location A" "Order 3", "Location B, Location C" "Order 4", "Location C, Location A, Location D" serialised_data: "Location", "Items", "Quantity" "Location A", "Item 1", "4" "Location A", "Item 2", "5" "Location B", "Item 5", "2" "Location C", "Item 2", "7" "Location D", "Items 4", "9" "Location D", "Item 3", "10"
解決策 1
を使用するには [] 実装する必要がある演算子 3. データモデル — Python 3.11.2 ドキュメント: __getitem__()[^]. こちらもご覧ください 3. データ モデル — コンテナー タイプのエミュレート[^] 完全な詳細については。
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