import sqlite3

conn = sqlite3.connect(":memory:")
conn.execute("CREATE VIRTUAL TABLE geodata USING rtree(id, minx, maxx, miny, maxy);")

def insert_data(conn, id, minx, maxx, miny, maxy):
    conn.execute("INSERT INTO geodata VALUES (?, ?, ?, ?, ?)", (id, minx, maxx, miny, maxy))

def query_data(conn, minx, maxx, miny, maxy):
    cursor = conn.execute("SELECT id FROM geodata WHERE minx >= ? AND maxx <= ? AND miny >= ? AND maxy <= ?", (minx, maxx, miny, maxy))
    return cursor.fetchall()

insert_data(conn, 1, 0, 2, 0, 2)
insert_data(conn, 2, 1, 3, 1, 3)
insert_data(conn, 3, 2, 4, 2, 4)

results = query_data(conn, 1, 2, 1, 2)
print(results)

from rtree import index

def build_index(points):
    idx = index.Index()
    for i, point in enumerate(points):
        idx.insert(i, (point[0], point[1], point[0], point[1]))
    return idx

def query_index(idx, query_point, radius):
    results = list(idx.intersection((query_point[0]-radius, query_point[1]-radius, 
                                     query_point[0]+radius, query_point[1]+radius)))
    return results

points = [(0,0), (1,1), (2,2), (3,3), (4,4), (5,5)]
idx = build_index(points)
results = query_index(idx, (2,2), 1)
print(results)

class Node:
    def __init__(self, x, y, width, height, points=None):
        self.x = x
        self.y = y
        self.width = width
        self.height = height
        self.points = points or []
        self.children = []
    
    def divide(self):
        x = self.x
        y = self.y
        w = self.width
        h = self.height
        w_half = w / 2
        h_half = h / 2
        self.children = [Node(x, y, w_half, h_half, self.points),
                        Node(x + w_half, y, w_half, h_half),
                        Node(x, y + h_half, w_half, h_half),
                        Node(x + w_half, y + h_half, w_half, h_half)]
        self.points = []

def insert(self, point):
        if self.children:
            for child in self.children:
                if child.contains(point):
                    child.insert(point)
                    return
        self.points.append(point)
        if len(self.points) > 4:
            self.divide()

def contains(self, point):
        x, y = point
        return self.x <= x < self.x + self.width and self.y <= y < self.y + self.height

class QuadTree:
    def __init__(self, width, height):
        self.root = Node(0, 0, width, height)

def insert(self, point):
        self.root.insert(point)

def query(self, x, y, width, height):
        results = []
        self._query(self.root, x, y, width, height, results)
        return results

def _query(self, node, x, y, width, height, results):
        if not node.children:
            results.extend(node.points)
            return
        for child in node.children:
            if child.x + child.width >= x and child.y + child.height >= y and child.x <= x + width and child.y <= y + height:
                self._query(child, x, y, width, height, results)

tree = QuadTree(100, 100)
points = [(0,0), (1,1), (2,2), (3,3), (4,4), (5,5)]
for point in points:
    tree.insert(point)
results = tree.query(1, 1, 2, 2)
print(results)

import os
import requests
from geopy.geocoders import Nominatim
from geopy.distance import geodesic

# Location Based Service
class LocationBasedService:
    def __init__(self, user_location, search_radius):
        self.user_location = user_location
        self.search_radius = search_radius
        self.geolocator = Nominatim(user_agent="LocationBasedService")

    def find_nearby_businesses(self, businesses):
        user_location = self.geolocator.geocode(self.user_location)
        user_location_coordinates = (user_location.latitude, user_location.longitude)
        nearby_businesses = []
        for business in businesses:
            business_location = self.geolocator.geocode(business.location)
            business_location_coordinates = (business_location.latitude, business_location.longitude)
            distance = geodesic(user_location_coordinates, business_location_coordinates).miles
            if distance <= self.search_radius:
                nearby_businesses.append(business)
        return nearby_businesses

# Business Service
class BusinessService:
    def __init__(self):
        self.businesses = []

    def add_business(self, business):
        self.businesses.append(business)

    def update_business_information(self, business, new_information):
        for index, b in enumerate(self.businesses):
            if b.name == business.name:
                self.businesses[index] = new_information
                break

    def delete_business_entry(self, business):
        for index, b in enumerate(self.businesses):
            if b.name == business.name:
                del self.businesses[index]
                break

# Business Object
class Business:
    def __init__(self, name, location):
        self.name = name
        self.location = location

# Example usage
location_based_service = LocationBasedService("San Francisco, CA", 10)
business_service = BusinessService()
business_1 = Business("Business 1", "San Francisco, CA")
business_2 = Business("Business 2", "Oakland, CA")
business_3 = Business("Business 3", "San Jose, CA")
business_service.add_business(business_1)
business_service.add_business(business_2)
business_service.add_business(business_3)
nearby_businesses = location_based_service.find_nearby_businesses(business_service.businesses)
print("Nearby Businesses:")
for business in nearby_businesses:
    print(business.name)

import java.util.*;

class User {
    private String username;
    private List<Review> reviews;

    public User(String username) {
        this.username = username;
        this.reviews = new ArrayList<>();
    }

    public String getUsername() {
        return username;
    }

    public List<Review> getReviews() {
        return reviews;
    }

    public void submitReview(Business business, int rating, String comment) {
        Review review = new Review(business, rating, comment);
        reviews.add(review);
        System.out.println("Review submitted for business '" + business.getName() + "'.");
    }
}

class Business {
    private String name;
    private String address;
    private List<Review> reviews;

    public Business(String name, String address) {
        this.name = name;
        this.address = address;
        this.reviews = new ArrayList<>();
    }

    public String getName() {
        return name;
    }

    public String getAddress() {
        return address;
    }

    public List<Review> getReviews() {
        return reviews;
    }

    public void addReview(Review review) {
        reviews.add(review);
    }
}

class Review {
    private Business business;
    private int rating;
    private String comment;

    public Review(Business business, int rating, String comment) {
        this.business = business;
        this.rating = rating;
        this.comment = comment;
    }

    public Business getBusiness() {
        return business;
    }

    public int getRating() {
        return rating;
    }

    public String getComment() {
        return comment;
    }
}

class YelpSystem {
    private Map<String, User> users;
    private List<Business> businesses;

    public YelpSystem() {
        this.users = new HashMap<>();
        this.businesses = new ArrayList<>();
    }

    public void registerUser(String username) {
        if (!users.containsKey(username)) {
            User newUser = new User(username);
            users.put(username, newUser);
            System.out.println("User '" + username + "' registered successfully.");
        } else {
            System.out.println("Username '" + username + "' is already taken.");
        }
    }

    public void createBusiness(String name, String address) {
        Business newBusiness = new Business(name, address);
        businesses.add(newBusiness);
        System.out.println("Business '" + name + "' created successfully.");
    }

    public User getUser(String username) {
        return users.get(username);
    }

    public List<Business> getBusinesses() {
        return businesses;
    }
}

public class YelpApp {
    public static void main(String[] args) {
        YelpSystem yelp = new YelpSystem();

        // Register users
        yelp.registerUser("user1");
        yelp.registerUser("user2");

        // Create businesses
        yelp.createBusiness("Restaurant A", "123 Main St");
        yelp.createBusiness("Cafe B", "456 Elm St");

        // Submit reviews
        User user1 = yelp.getUser("user1");
        Business restaurantA = yelp.getBusinesses().get(0);
        user1.submitReview(restaurantA, 4, "Great food!");

        User user2 = yelp.getUser("user2");
        Business restaurantB = yelp.getBusinesses().get(1);
        user2.submitReview(restaurantB, 5, "Excellent service!");

        // Print reviews for a business
        Business business = yelp.getBusinesses().get(0);
        List<Review> reviews = business.getReviews();
        System.out.println("Reviews for business '" + business.getName() + "':");
        for (Review review : reviews) {
            System.out.println("Rating: " + review.getRating());
            System.out.println("Comment: " + review.getComment());
            System.out.println("-----");
        }
    }
}

from flask import Flask, jsonify, request

app = Flask(__name__)

# Endpoint for getting restaurant information
@app.route('/restaurants/<int:restaurant_id>', methods=['GET'])
def get_restaurant(restaurant_id):
    # Code to get restaurant information using restaurant_id
    restaurant = {'name': 'Pizza Palace', 'rating': 4.3, 'address': '123 Main St'}
    return jsonify(restaurant)

# Endpoint for searching for restaurants
@app.route('/search', methods=['GET'])
def search_restaurants():
    # Code to search for restaurants using query and location parameters in URL
    query = request.args.get('query')
    location = request.args.get('location')
    results = [{'name': 'Pizza Palace', 'rating': 4.3, 'address': '123 Main St'},
               {'name': 'Burger Barn', 'rating': 4.1, 'address': '456 Oak St'}]
    return jsonify(results)

# Endpoint for adding a review
@app.route('/reviews', methods=['POST'])
def add_review():
    # Code to add a review using restaurant_id, rating, and text in request body
    restaurant_id = request.json['restaurant_id']
    rating = request.json['rating']
    text = request.json['text']
    return jsonify({'message': f'Review added for restaurant {restaurant_id}!'})

if __name__ == '__main__':
    app.run(debug=True)

import json
from typing import List, Dict

class Business:
    def __init__(self, name: str, location: str, category: str):
        self.name = name
        self.location = location
        self.category = category

class BusinessService:
    businesses = []

    @classmethod
    def search_nearby_places(cls, location: str, category: str = None) -> List[Dict[str, str]]:
        nearby_businesses = []
        for business in cls.businesses:
            if location in business.location and (category is None or category == business.category):
                nearby_businesses.append({
                    'name': business.name,
                    'location': business.location,
                    'category': business.category
                })
        return nearby_businesses

    @classmethod
    def add_business(cls, name: str, location: str, category: str):
        cls.businesses.append(Business(name, location, category))

    @classmethod
    def update_business(cls, name: str, location: str, category: str):
        for i, business in enumerate(cls.businesses):
            if business.name == name:
                cls.businesses[i].location = location
                cls.businesses[i].category = category

    @classmethod
    def delete_business(cls, name: str):
        for i, business in enumerate(cls.businesses):
            if business.name == name:
                del cls.businesses[i]

import requests

api_key = "<API_KEY>"

headers = {
    "Authorization": "Bearer " + api_key
}

url = "https://api.yelp.com/v3/businesses/search"

params = {
    "term": "food",
    "location": "San Francisco"
}

response = requests.get(url, headers=headers, params=params)

if response.status_code == 200:
    data = response.json()
    businesses = data["businesses"]
    for business in businesses:
        print(business["name"], business["location"]["address1"])
else:
    print("Request failed with status code", response.status_code)

from yelpapi import YelpAPI

# Define your API key
API_KEY = 'YOUR_API_KEY'

# Define the Yelp API client
yelp_api = YelpAPI(API_KEY)

# Define the search parameters
params = {
    'term': 'food',
    'location': 'San Francisco',
    'radius': 1000,
    'limit': 10
}

# Call the Yelp API and retrieve the data
response = yelp_api.search_query(**params)

# Print the results
for business in response['businesses']:
    print(business['name'])

# Define the business details
business = {
    'name': 'New Business Name',
    'address1': '123 Main St',
    'city': 'San Francisco',
    'state': 'CA',
    'country': 'US',
    'zip_code': '94111',
    'phone': '+14159265400',
    'latitude': 37.792820,
    'longitude': -122.397327
}

# Call the Yelp API to create the new business
response = yelp_api.business_create(**business)

# Print the ID of the new business
print(response['id'])

# Define the ID of the business to delete
business_id = 'some-business-id'

# Call the Yelp API to delete the business
response = yelp_api.business_delete(business_id)

# Print the result of the deletion
print(response)

# Define the ID of the business to update
business_id = 'some-business-id'

# Define the updated business details
updated_business = {
    'name': 'Updated Business Name',
    'phone': '+14159265401'
}

# Call the Yelp API to update the business
response = yelp_api.business_update(business_id, **updated_business)

# Print the updated details of the business
print(response)

# Define the user's location
location = 'San Francisco, CA'

# Define the search parameters
params = {
    'term': 'food',
    'location': location,
    'radius': 1000,
    'limit': 10
}

# Call the Yelp API and retrieve the data
response = yelp_api.search_query(**params)

# Print the results
for business in response['businesses']:
    print(business['name'])

# Define the search parameters
params = {
    'term': 'restaurant',
    'location': 'San Francisco',
    'radius': 1000,
    'limit': 1
}

# Call the Yelp API and retrieve the data
response = yelp_api.search_query(**params)

# Get the business ID of the first result
business_id = response['businesses'][0]['id']

# Print the business ID
print(business_id)

from flask import Flask, request, jsonify

app = Flask(__name__)

# User registration endpoint
@app.route('/register', methods=['POST'])
def register():
    # Get user data from request
    username = request.json['username']
    password = request.json['password']

    # TODO: Implement user registration logic
    # Example: Create a new user record in the database

    return jsonify({'message': 'User registered successfully'})

# User login endpoint
@app.route('/login', methods=['POST'])
def login():
    # Get user data from request
    username = request.json['username']
    password = request.json['password']

    # TODO: Implement user login logic
    # Example: Verify user credentials and generate an authentication token

    token = 'generated_token'  # Example token for demonstration purposes

    return jsonify({'token': token})

# Protected route example
@app.route('/protected', methods=['GET'])
def protected():
    # Get token from request headers
    token = request.headers.get('Authorization')

    # TODO: Implement token verification logic
    # Example: Verify the token against the user's stored token

    return jsonify({'message': 'Access granted'})

if __name__ == '__main__':
    app.run()

class Business:
    def __init__(self, name, description, category):
        self.name = name
        self.description = description
        self.category = category

# In-memory data store for business listings
businesses = []

# Add a new business
def add_business(name, description, category):
    business = Business(name, description, category)
    businesses.append(business)

# Retrieve businesses by category
def get_businesses_by_category(category):
    return [business for business in businesses if business.category == category]

# Example usage
add_business('Restaurant A', 'Delicious food', 'Food')
add_business('Restaurant B', 'Cozy atmosphere', 'Food')

food_businesses = get_businesses_by_category('Food')
for business in food_businesses:
    print(business.name)

class Review:
    def __init__(self, user, business, rating, content):
        self.user = user
        self.business = business
        self.rating = rating
        self.content = content

# In-memory data store for reviews
reviews = []

# Submit a new review
def submit_review(user, business, rating, content):
    review = Review(user, business, rating, content)
    reviews.append(review)

# Delete a review
def delete_review(user, review):
    if review.user == user:
        reviews.remove(review)

# Example usage
submit_review('user1', 'Restaurant A', 4, 'Great food!')
submit_review('user2', 'Restaurant B', 5, 'Amazing experience!')

# Delete the first review
delete_review('user1', reviews[0])

for review in reviews:
    print(review.content)

# User preferences and ratings
user_preferences = {
    'user1': {
        'category': 'Food',
        'rating': 4.5
    },
    'user2': {
        'category': 'Books',
        'rating': 3.8
    },
    # More user preferences...
}

# Business data
businesses = [
    {
        'name': 'Restaurant A',
        'category': 'Food',
        'rating': 4.3
    },
    {
        'name': 'Bookstore B',
        'category': 'Books',
        'rating': 4.6
    },
    # More business data...
]

# Collaborative filtering recommendation algorithm
def collaborative_filtering_recommendation(user):
    user_category = user_preferences[user]['category']
    filtered_businesses = [business for business in businesses if business['category'] == user_category]
    sorted_businesses = sorted(filtered_businesses, key=lambda x: x['rating'], reverse=True)
    return sorted_businesses

# Content-based filtering recommendation algorithm
def content_based_filtering_recommendation(user):
    user_rating = user_preferences[user]['rating']
    filtered_businesses = [business for business in businesses if business['rating'] >= user_rating]
    sorted_businesses = sorted(filtered_businesses, key=lambda x: x['rating'], reverse=True)
    return sorted_businesses

# Hybrid recommendation algorithm
def hybrid_recommendation(user):
    collaborative_recommendations = collaborative_filtering_recommendation(user)
    content_based_recommendations = content_based_filtering_recommendation(user)
    hybrid_recommendations = collaborative_recommendations[:3] + content_based_recommendations[:2]
    return hybrid_recommendations

# Example usage
user = 'user1'
collaborative_recommendations = collaborative_filtering_recommendation(user)
content_based_recommendations = content_based_filtering_recommendation(user)
hybrid_recommendations = hybrid_recommendation(user)

print("Collaborative filtering recommendations:")
for recommendation in collaborative_recommendations:
    print(recommendation['name'])

print("Content-based filtering recommendations:")
for recommendation in content_based_recommendations:
    print(recommendation['name'])

print("Hybrid recommendations:")
for recommendation in hybrid_recommendations:
    print(recommendation['name'])

from elasticsearch import Elasticsearch

# Connect to Elasticsearch
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])

# Index a business
def index_business(business_id, name, description, category):
    body = {
        'name': name,
        'description': description,
        'category': category
    }
    es.index(index='businesses', id=business_id, body=body)

# Search businesses
def search_businesses(query, category=None):
    body = {
        'query': {
            'bool': {
                'must': [
                    {'match': {'name': query}}
                ]
            }
        }
    }

    if category:
        body['query']['bool']['filter'] = {'term': {'category': category}}

    result = es.search(index='businesses', body=body)

    return [hit['_source'] for hit in result['hits']['hits']]

# Example usage
index_business(1, 'Restaurant A', 'Delicious food', 'Food')
index_business(2, 'Bookstore B', 'Great selection of books', 'Books')

# Search for businesses with the query "restaurant"
search_results = search_businesses('restaurant')
for result in search_results:
    print(result['name'])

# Search for businesses with the query "bookstore" in the "Books" category
search_results = search_businesses('bookstore', 'Books')
for result in search_results:
    print(result['name'])

import googlemaps

# Initialize the Google Maps client
gmaps = googlemaps.Client(key='YOUR_API_KEY')

# Get geolocation data for a given address
def get_geolocation(address):
    geocode_result = gmaps.geocode(address)
    if geocode_result:
        location = geocode_result[0]['geometry']['location']
        return location['lat'], location['lng']
    return None

# Calculate distance between two locations
def calculate_distance(origin, destination):
    distance_result = gmaps.distance_matrix(origin, destination, mode='driving')
    if distance_result['rows'][0]['elements'][0]['status'] == 'OK':
        distance = distance_result['rows'][0]['elements'][0]['distance']['text']
        return distance
    return None

# Example usage
origin = 'New York, USA'
destination = 'Los Angeles, USA'
origin_location = get_geolocation(origin)
destination_location = get_geolocation(destination)

if origin_location and destination_location:
    distance = calculate_distance(origin_location, destination_location)
    print(f"The distance between {origin} and {destination} is: {distance}")
else:
    print("Unable to retrieve geolocation data.")

class Review:
    def __init__(self, user, business, content):
        self.user = user
        self.business = business
        self.content = content
        self.likes = 0
        self.comments = []

    def add_like(self):
        self.likes += 1

    def add_comment(self, user, comment):
        self.comments.append({'user': user, 'comment': comment})

    def get_likes(self):
        return self.likes

    def get_comments(self):
        return self.comments

class User:
    def __init__(self, username):
        self.username = username
        self.bookmarks = []
        self.check_ins = []
        self.photos = []

    def add_bookmark(self, business):
        self.bookmarks.append(business)

    def add_check_in(self, business):
        self.check_ins.append(business)

    def add_photo(self, photo):
        self.photos.append(photo)

    def get_bookmarks(self):
        return self.bookmarks

    def get_check_ins(self):
        return self.check_ins

    def get_photos(self):
        return self.photos

# Example usage
user1 = User('JohnDoe')
user2 = User('JaneSmith')

review1 = Review(user1, 'Restaurant A', 'Great food!')
review1.add_like()
review1.add_comment(user2, 'I agree, it was delicious.')

review2 = Review(user2, 'Restaurant B', 'Amazing experience!')
review2.add_like()

user1.add_bookmark('Restaurant A')
user1.add_check_in('Restaurant A')
user1.add_photo('photo1.jpg')

print(f'{user1.username} has {review1.get_likes()} like(s).')
print(f'{user1.username} has bookmarked the following businesses: {user1.get_bookmarks()}')
print(f'{user1.username} has checked in to the following businesses: {user1.get_check_ins()}')
print(f'{user1.username} has uploaded the following photos: {user1.get_photos()}')

print(f'{user2.username} has {review2.get_likes()} like(s).')
print(f'{user2.username} has commented: {review2.get_comments()}')

class Analytics:
    def __init__(self):
        self.reviews = []

    def add_review(self, review):
        self.reviews.append(review)

    def get_average_rating(self):
        if not self.reviews:
            return 0

        total_ratings = sum(review.rating for review in self.reviews)
        average_rating = total_ratings / len(self.reviews)
        return average_rating

    def get_review_count(self):
        return len(self.reviews)

# Example usage
analytics = Analytics()

review1 = Review('user1', 'Restaurant A', 'Great food!', 4.5)
review2 = Review('user2', 'Restaurant A', 'Excellent service!', 4.8)

analytics.add_review(review1)
analytics.add_review(review2)

average_rating = analytics.get_average_rating()
review_count = analytics.get_review_count()

print(f'Average rating for Restaurant A: {average_rating}')
print(f'Review count for Restaurant A: {review_count}')

class MobileApp:
    def __init__(self):
        self.cached_data = None

    def fetch_data(self):
        # Logic to fetch data from the server
        data = 'Data fetched from the server'
        return data

    def cache_data(self, data):
        self.cached_data = data

    def get_cached_data(self):
        return self.cached_data

# Example usage
app = MobileApp()

# Fetch data from the server and cache it
data = app.fetch_data()
app.cache_data(data)

# Retrieve cached data
cached_data = app.get_cached_data()

print(f'Cached data: {cached_data}')

from redis import Redis
from functools import wraps

# Connect to Redis
redis = Redis(host='localhost', port=6379)

# Caching decorator
def cache_result(key_prefix):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            cache_key = f'{key_prefix}:{args}:{kwargs}'
            cached_result = redis.get(cache_key)
            if cached_result:
                return cached_result.decode('utf-8')

            result = func(*args, **kwargs)
            redis.set(cache_key, result)
            return result

        return wrapper

    return decorator

# Example usage
@cache_result('business_search')
def search_businesses(query):
    # Logic to search businesses based on the query
    result = f'Search result for "{query}"'
    return result

# Perform business search
result1 = search_businesses('restaurant')
result2 = search_businesses('bookstore')

print(result1)
print(result2)

import random

class Cache:
    def __init__(self, max_size):
        self.max_size = max_size
        self.cache = {}

    def get_data(self, key):
        if key in self.cache:
            # Data found in the cache
            print(f"Retrieving data for key '{key}' from the cache.")
            return self.cache[key]
        else:
            # Data not found in the cache
            print(f"Data for key '{key}' not found in the cache.")
            return None

    def set_data(self, key, value):
        if len(self.cache) >= self.max_size:
            # Cache is full, need to evict data
            print(f"Cache is full. Evicting data before storing new data for key '{key}'.")
            self._evict_data()
        print(f"Storing data for key '{key}' in the cache.")
        self.cache[key] = value

    def _evict_data(self):
        # Implement cache eviction logic based on replacement policy
        # For simplicity, let's assume we are evicting a random entry
        keys = list(self.cache.keys())
        key_to_evict = random.choice(keys)
        del self.cache[key_to_evict]


def simulate_cache():
    # Instantiate a cache with a maximum size of 1000 entries
    cache = Cache(1000)

    # Simulate retrieving data from the cache
    data = cache.get_data("video123")
    if data is None:
        # Perform a database lookup for the data
        data = "Data from the database for video123"
        # Store the retrieved data in the cache
        cache.set_data("video123", data)

    # Simulate storing new data in the cache
    new_data = "New data for video456"
    cache.set_data("video456", new_data)

    # Simulate retrieving the newly stored data from the cache
    data = cache.get_data("video456")
    if data is not None:
        print("Retrieved data:", data)


# Run the cache simulation
simulate_cache()

class CacheManager:
    def __init__(self):
        self.caches = {}

    def create_cache(self, cache_name, max_size):
        cache = Cache(max_size)
        self.caches[cache_name] = cache

    def set_replacement_policy(self, cache_name, replacement_policy):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Set the replacement policy of the cache

    def set_expiration_time(self, cache_name, expiration_time):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Set the expiration time of the cache

    def get_data(self, cache_name, key):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            return cache.get(key)
        else:
            return None

    def set_data(self, cache_name, key, value):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            cache.set(key, value)

    def delete_data(self, cache_name, key):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            cache.delete(key)

    def clear_cache(self, cache_name):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            cache.clear()

    def get_hit_count(self, cache_name):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Return the hit count of the cache

    def get_miss_count(self, cache_name):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Return the miss count of the cache

    def get_cache_size(self, cache_name):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Return the size of the cache

    def get_cache_capacity(self, cache_name):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Return the capacity of the cache

    def add_cache_node(self, cache_name, node_id):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Add a cache node to the cache

    def remove_cache_node(self, cache_name, node_id):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Remove a cache node from the cache

    def rebalance_cache(self, cache_name):
        if cache_name in self.caches:
            cache = self.caches[cache_name]
            # Rebalance the cache

import java.util.HashMap;
import java.util.Map;

class Cache {
    private Map<String, Object> cacheData;
    private int maxSize;

    public Cache(int maxSize) {
        this.cacheData = new HashMap<>();
        this.maxSize = maxSize;
    }

    public Object get(String key) {
        return cacheData.get(key);
    }

    public void put(String key, Object value) {
        if (cacheData.size() >= maxSize) {
            evict(); // If cache is full, evict the least recently used item
        }
        cacheData.put(key, value);
    }

    public void evict(String key) {
        cacheData.remove(key);
    }

    private void evict() {
        // Evict the least recently used item from the cache
        // Implementation depends on the eviction policy (e.g., LRU, LFU, etc.)
    }
}

class Cache:
    def __init__(self, max_size):
        self.max_size = max_size
        self.cache = {}
        self.replacement_policy = 'LRU'  # Default replacement policy

    def set_replacement_policy(self, replacement_policy):
        self.replacement_policy = replacement_policy

    def _evict_data(self):
        if self.replacement_policy == 'LRU':
            # Evict the least recently used data
            key_to_evict = next(iter(self.cache))
            del self.cache[key_to_evict]
        elif self.replacement_policy == 'LFU':
            # Evict the least frequently used data
            key_to_evict = min(self.cache, key=self.cache.get)
            del self.cache[key_to_evict]
        elif self.replacement_policy == 'FIFO':
            # Evict the first-in data
            key_to_evict = next(iter(self.cache))
            del self.cache[key_to_evict]

class Cache:
    def __init__(self, max_size):
        self.max_size = max_size
        self.cache = {}
        self.coherency = True  # Cache coherency enabled by default

    def enable_coherency(self):
        self.coherency = True

    def disable_coherency(self):
        self.coherency = False

class Cache:
    def __init__(self, max_size):
        self.max_size = max_size
        self.cache = {}
        self.partition_count = 1  # Default partition count

    def set_partition_count(self, partition_count):
        self.partition_count = partition_count

    def _get_partition(self, key):
        # Calculate the partition based on the key
        return hash(key) % self.partition_count

class Cache:
    def __init__(self, max_size, persistent=False):
        self.max_size = max_size
        self.cache = {}
        self.persistent = persistent

    def set_persistence(self, persistent):
        self.persistent = persistent

    def _load_cache_from_persistent_storage(self):
        # Load cache data from persistent storage
        pass

    def _save_cache_to_persistent_storage(self):
        # Save cache data to persistent storage
        pass

import random

class Cache:
    def __init__(self, max_size):
        self.max_size = max_size
        self.cache = {}

    def get(self, key):
        if key in self.cache:
            return self.cache[key]
        else:
            return None

    def set(self, key, value):
        if len(self.cache) >= self.max_size:
            self._evict_data()
        self.cache[key] = value

    def delete(self, key):
        if key in self.cache:
            del self.cache[key]

    def clear(self):
        self.cache.clear()

    def cache_stats(self):
        # Calculate cache statistics (e.g., cache hits, misses, etc.)
        # Return the statistics as desired

    def _evict_data(self):
        # Implement cache eviction logic based on the desired replacement policy
        # For example, evict a random entry
        keys = list(self.cache.keys())
        key_to_evict = random.choice(keys)
        del self.cache[key_to_evict]