@RealSaitama

l = 7 c = 2.4 r = (c**2+l**2)**0.5 x = c + r y=c*x print(x, y) d = l**2 -2*c**2-2*c*r print(d, r) x1 = (c+r +d**0.5) /2 x2 = (c+r -d**0.5) /2

import numpy as np import scipy.optimize as opt from scipy.optimize import differential_evolution, basinhopping import itertools from typing import List, Tuple, Dict, Any import time class FunctionOptimizer: """ Optimizer for the function:

ts = [ ('this will probably not be fun', 'tiks zjop twrggfrf uwz kl pcx'), ('hopefully you will find satisfaction at least', 'hprehxmoc ctx cmrs mqtl zjdqcqjnfsaa nh ztnhj'), ('really this is very tedious', 'rfclnb wlkw lx zkyd

from math import hypot, acos, cos, sin, pi, atan2 class Segment: def __init__(self, p1, p2): self.p1 = p1 self.p2 = p2 def length(self): return hypot(self.p1.x - self.p2.x, self.p1.y - self.p2.y)

from math import dist import heapq as hq from scipy.spatial import Delaunay # Requires scipy def bridge(pts): n = len(pts) if n <= 1: return 0 # Compute Delaunay triangulation

import math from typing import List, Tuple, Optional, Dict class FibonacciHeapNode: """Node in a Fibonacci heap.""" def __init__(self, key: float, value: int): self.key = key self.value = value self.parent: Opti

#include <iostream> #include <vector> #include <algorithm> std::vector<int> parent, rank; void make_set(int v) { parent[v] = v; rank[v] = 0; }

class Edge: def __init__(self, u, v, weight): self.u = u self.v = v self.weight = weight def __str__(self): return f"({self.u},{self.v},{self.weight})" def __lt__(self, other):

class Edge: def __init__(self, u, v, weight): self.u = u self.v = v self.weight = weight def __str__(self): return f"({self.u},{self.v},{self.weight})" def __lt__(self, other):

// Transform function definitions to support tail call optimization via trampolines function transformToTCO(functionDefs) { const functions = new Map(); // Parse function definitions functionDefs.forEach(([name, params, body]) => {

tests = [ [ [ [1, 2, 3], [4, 5, 6], [7, 8, 9] ], 45 ], [ [

# Claude AI Hamiltonian path finder class HamiltonianPathSolver: def __init__(self, graph): self.graph = [list(graph[k]) for k in sorted(graph.keys())] # adjacency list representation self.n = len(graph) self.forced_star

from fractions import Fraction arr = [[1, 1, 1, 1, 0, 0, 1, 0, 0, 0] , [1, 1, 1, 0, 1, 0, 0, 1, 0, 1] , [1, 1, 1, 0, 0, 1, 0, 0, 1, 0] , [1, 0, 0, 1, 1, 1, 1, 0, 0, 1] , [0, 1, 0, 1, 1, 1, 0, 1, 0, 1] , [0, 0, 1, 1, 1, 1, 0, 0, 1, 1] , [1, 0, 0, 1,

tests = [ [[ [1, 0, 1], [0, 0, 0], [1, 0, 1] ],[(1, 1)]], [[ [0, 1, 0], [1, 0, 0], [0, 0, 1]

op = lambda x, y: x + y tree = {} def build(node, L, R): if L == R: tree[node] = xs[L] else: mid = (L + R) // 2 build(2 * node, L, mid) build(2 * node + 1, mid + 1, R)

arr = [] a, b = 1234, 4321 # for x in range(1, a + 1): # for y in range(1, b + 1): # arr.append((x * y, x, y)) # arr.sort(key=lambda x: -x[0]) def makePalindrome(number): num_str = str(number) digits = len(num_str)

tests = [ (4748, 47), (123, 122), (5347, 3475), (121, 12), (213, 12), (321, 132), (7234723, 7234), (122, 21), (12, 1),

xs = [2, 1, 5, 3, 4] op = lambda x, y: x + y tree = {} def build(node, L, R): if L == R: tree[node] = xs[L] else: mid = (L + R) // 2 build(2 * node, L, mid)

from math import hypot, acos, cos, sin, pi, atan2 from collections import defaultdict import heapq as hq import time EPS = 1e-7 # returns True if the point corresponding to the angle x lies between the points for angles a and b def is_between_angles

from math import hypot, acos, cos, sin, pi, atan2 class _Point: def __init__(self, x, y): self.x = x self.y = y def __str__(self): return f"({self.x}, {self.y})"