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question:Can you explain how to create and use a B-tree in Python? Implementing a B-tree from scratch can be quite complex, so you might want to use a library or provide a simplified version for educational purposes. For this task, I would like to see a simplified version of a B-tree, focusing on the basic operations like insertion, searching, and deletion.
answer:class BTreeNode: def __init__(self, t, leaf=False): self.degree = t self.leaf = leaf self.keys = [] self.children = [] def insert_non_full(self, key): if self.leaf: self.keys.append(key) self.keys.sort() else: i = len(self.keys) - 1 while i >= 0 and self.keys[i] > key: i -= 1 i += 1 if len(self.children[i].keys) == 2 * self.degree - 1: self.split_child(i) if self.keys[i] < key: i += 1 self.children[i].insert_non_full(key) def split_child(self, i): t = self.degree y = self.children[i] z = BTreeNode(t, y.leaf) self.children.insert(i + 1, z) self.keys.insert(i, y.keys[t-1]) z.keys = y.keys[t:(2 * t - 1)] y.keys = y.keys[0:(t - 1)] if not y.leaf: z.children = y.children[t:(2 * t)] y.children = y.children[0:t] def traverse(self): result = [] for i in range(len(self.keys)): if not self.leaf: result.extend(self.children[i].traverse()) result.append(self.keys[i]) if not self.leaf: result.extend(self.children[-1].traverse()) return result def search(self, key): i = 0 while i < len(self.keys) and key > self.keys[i]: i += 1 if i < len(self.keys) and self.keys[i] == key: return True if self.leaf: return False return self.children[i].search(key) class BTree: def __init__(self, t): self.root = BTreeNode(t, True) self.t = t def traverse(self): return self.root.traverse() def search(self, key): return self.root.search(key) def insert(self, key): root = self.root if len(root.keys) == 2 * self.t - 1: s = BTreeNode(self.t, False) s.children.append(self.root) s.split_child(0) self.root = s self.root.insert_non_full(key)
question:Create a Python function to generate a Fibonacci sequence up to a given number n. The function should return a list containing the Fibonacci sequence up to, but not including, the number n.
answer:def fibonacci_up_to_n(n): Generates a list containing the Fibonacci sequence up to, but not including, the number n. if n <= 0: return [] fibonacci_sequence = [0, 1] while True: next_val = fibonacci_sequence[-1] + fibonacci_sequence[-2] if next_val >= n: break fibonacci_sequence.append(next_val) return fibonacci_sequence
question:Can you provide a Python function that retrieves linked accounts from a list of user profiles, where each user profile is represented as a dictionary? Each user profile dictionary contains a key 'linked_accounts' which holds a list of account IDs. The function should return a list of all unique linked accounts from all user profiles.
answer:def get_linked_accounts(user_profiles): Retrieves and returns a list of unique linked accounts from a list of user profiles. :param user_profiles: List of user profiles, where each profile is a dictionary containing a 'linked_accounts' key :return: List of unique linked account IDs linked_accounts_set = set() for profile in user_profiles: linked_accounts_set.update(profile.get('linked_accounts', [])) return list(linked_accounts_set)
question:How can I import a Python module from a string or dynamically using the module's name?
answer:import importlib def import_module_dynamic(module_name): Imports a Python module dynamically using the module's name. Args: - module_name (str): The name of the module to be imported. Returns: - module: The imported module. module = importlib.import_module(module_name) return module