from octanode import Node import math import numpy as np import time from scipy.sparse import csr_matrix def functions(n, z): """ funs = [[0.446462692171690 + 0.184930902191118j, 0.184930902191118], [0.184930902191118 + 0.446462692171690j, 0.184930902191118], [-0.184930902191118 + 0.446462692171690j, 0.184930902191118], [-0.446462692171690 + 0.184930902191118j, 0.184930902191118], [-0.446462692171690 - 0.184930902191118j, 0.184930902191118], [-0.184930902191118 - 0.446462692171690j, 0.184930902191118], [0.184930902191118 - 0.446462692171690j, 0.184930902191118], [0.446462692171690 - 0.184930902191118j, 0.184930902191118], [1.00000000000000 + 0.414213562373095j, 0.414213562373095], [0.414213562373095 + 1.00000000000000j, 0.414213562373095], [-0.414213562373095 + 1.00000000000000j, 0.414213562373095], [-1.00000000000000 + 0.414213562373095j, 0.414213562373095], [-1.00000000000000 - 0.414213562373095j, 0.414213562373095], [-0.414213562373095 - 1.00000000000000j, 0.414213562373095], [0.414213562373095 - 1.00000000000000j, 0.414213562373095], [1.00000000000000 - 0.414213562373095j, 0.414213562373095]] return funs[n][0] + np.conj((funs[n][1])**2 / (z-funs[n][1])) """ if n == 0: return 0.446462692171690 + 0.184930902191118j + np.conj(0.0341994385852209/(-0.446462692171690 - 0.184930902191118j + z)) elif n == 1: return 0.184930902191118 + 0.446462692171690j + np.conj(0.0341994385852209/(-0.184930902191118 - 0.446462692171690j + z)) elif n == 2: return -0.184930902191118 + 0.446462692171690j + np.conj(0.0341994385852209/(0.184930902191118 - 0.446462692171690j + z)) elif n == 3: return -0.446462692171690 + 0.184930902191118j + np.conj(0.0341994385852209/(0.446462692171690 - 0.184930902191118j + z)) elif n == 4: return -0.446462692171690 - 0.184930902191118j + np.conj(0.0341994385852209/(0.446462692171690 + 0.184930902191118j + z)) elif n == 5: return -0.184930902191118 - 0.446462692171690j + np.conj(0.0341994385852209/(0.184930902191118 + 0.446462692171690j + z)) elif n == 6: return 0.184930902191118 - 0.446462692171690j + np.conj(0.0341994385852209/(-0.184930902191118 + 0.446462692171690j + z)) elif n == 7: return 0.446462692171690 - 0.184930902191118j + np.conj(0.0341994385852209/(-0.446462692171690 + 0.184930902191118j + z)) elif n == 8: return 1.00000000000000 + 0.414213562373095j + np.conj(0.171572875253810/(-1.00000000000000 - 0.414213562373095j + z)) elif n == 9: return 0.414213562373095 + 1.00000000000000j + np.conj(0.171572875253810/(-0.414213562373095 - 1.00000000000000j + z)) elif n == 10: return -0.414213562373095 + 1.00000000000000j + np.conj(0.171572875253810/(0.414213562373095 - 1.00000000000000j + z)) elif n == 11: return -1.00000000000000 + 0.414213562373095j + np.conj(0.171572875253810/(1.00000000000000 - 0.414213562373095j + z)) elif n == 12: return -1.00000000000000 - 0.414213562373095j + np.conj(0.171572875253810/(1.00000000000000 + 0.414213562373095j + z)) elif n == 13: return -0.414213562373095 - 1.00000000000000j + np.conj(0.171572875253810/(0.414213562373095 + 1.00000000000000j + z)) elif n == 14: return 0.414213562373095 - 1.00000000000000j + np.conj(0.171572875253810/(-0.414213562373095 + 1.00000000000000j + z)) elif n == 15: return 1.00000000000000 - 0.414213562373095j + np.conj(0.171572875253810/(-1.00000000000000 + 0.414213562373095j + z)) def derivatives(n, z): """ funs = [[0.446462692171690 + 0.184930902191118j, 0.184930902191118], [0.184930902191118 + 0.446462692171690j, 0.184930902191118], [-0.184930902191118 + 0.446462692171690j, 0.184930902191118], [-0.446462692171690 + 0.184930902191118j, 0.184930902191118], [-0.446462692171690 - 0.184930902191118j, 0.184930902191118], [-0.184930902191118 - 0.446462692171690j, 0.184930902191118], [0.184930902191118 - 0.446462692171690j, 0.184930902191118], [0.446462692171690 - 0.184930902191118j, 0.184930902191118], [1.00000000000000 + 0.414213562373095j, 0.414213562373095], [0.414213562373095 + 1.00000000000000j, 0.414213562373095], [-0.414213562373095 + 1.00000000000000j, 0.414213562373095], [-1.00000000000000 + 0.414213562373095j, 0.414213562373095], [-1.00000000000000 - 0.414213562373095j, 0.414213562373095], [-0.414213562373095 - 1.00000000000000j, 0.414213562373095], [0.414213562373095 - 1.00000000000000j, 0.414213562373095], [1.00000000000000 - 0.414213562373095j, 0.414213562373095]] return abs(-1*((z-funs[n][0])**2) / (funs[n][1]**2)) """ if n == 0: return abs(-29.2402460791314*(-0.446462692171690 - 0.184930902191118j + z)**2) elif n == 1: return abs(-29.2402460791314*(-0.184930902191118 - 0.446462692171690j +z)**2) elif n == 2: return abs(-29.2402460791314*(0.184930902191118 - 0.446462692171690j +z)**2) elif n == 3: return abs(-29.2402460791314*(0.446462692171690 - 0.184930902191118j +z)**2) elif n == 4: return abs(-29.2402460791314*(0.446462692171690 + 0.184930902191118j +z)**2) elif n == 5: return abs(-29.2402460791314*(0.184930902191118 + 0.446462692171690j +z)**2) elif n == 6: return abs(-29.2402460791314*(-0.184930902191118 + 0.446462692171690j + z)**2) elif n == 7: return abs(-29.2402460791314*(-0.446462692171690 + 0.184930902191118j +z)**2) elif n == 8: return abs(-5.8284271247462*(-1.00000000000000 - 0.414213562373095j + z)**2) elif n == 9: return abs(-5.8284271247462*(-0.414213562373095 - 1.00000000000000j + z)**2) elif n == 10: return abs(-5.8284271247462*(0.414213562373095 - 1.00000000000000j + z)**2) elif n == 11: return abs(-5.8284271247462*(1.00000000000000 - 0.414213562373095j + z)**2) elif n == 12: return abs(-5.8284271247462*(1.00000000000000 + 0.414213562373095j + z)**2) elif n == 13: return abs(-5.8284271247462*(0.414213562373095 + 1.00000000000000j + z)**2) elif n == 14: return abs(-5.8284271247462*(-0.414213562373095 + 1.00000000000000j + z)**2) elif n == 15: return abs(-5.8284271247462*(-1.00000000000000 + 0.414213562373095j + z)**2) def samplePoint(word): points = [[0.468786, 0.194177], [0.194177, 0.468786], [-0.194177, 0.468786], [-0.468786, 0.194177], [-0.468786, -0.194177], [-0.194177, -0.468786], \ [0.194177, -0.468786], [0.468786, -0.194177], [0.8, 0.331371], [0.331371, 0.8], [-0.331371, 0.8], [-0.8, 0.331371], [-0.8, -0.331371], [-0.331371, -0.8], [0.331371, -0.8], \ [0.8, -0.331371]] p = points[word[-1]][0] + points[word[-1]][1]*1j for letter in word[-2::-1]: p = functions(letter, p) return p def sampleValue(word): d = derivatives(word[0], samplePoint(word)) if d>1: print(d, word) return d def generateTree(words, dc): tt = time.time() generators = [np.array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [2.70711, 5.41421, 0., 0., -0.292893, 0., 0., 0., 6.82843, 0.], [7.53553, 10.6569, 0., 0., -0.707107, 0., 0., 0., 16.4853, 0.], [11.6569, 13.6569, 0., 0., -1., 0., 0., 0., 23.3137, 0.], [12.6569, 12.6569, 0., 0., -1., 0., 0., 0., 23.3137, 0.], [9.94975, 8.24264, 0., 0., -0.707107, 0., 0., 0., 16.4853, 0.], [5.12132, 3., 0., 0., -0.292893, 0., 0., 0., 6.82843, 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [2.17157, 2.34315, 0., 0., -0.171573, 0., 0., 0., 3., 0.]]),np.array([[0., 4.82843, 3.41421, 0., -0.414214, 0., 0., 0., 6.82843, 0.], [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 1., 0., 0., 0., 0., 0., 0., 0.], [0., 2.41421, 5.82843, 0., -0.414214, 0., 0., 0., 6.82843, 0.], [0., 6.82843, 11.6569, 0., -1., 0., 0., 0., 16.4853, 0.], [0., 10.6569, 15.0711, 0., -1.41421, 0., 0., 0., 23.3137, 0.], [0., 11.6569, 14.0711, 0., -1.41421, 0., 0., 0., 23.3137, 0.], [0., 9.24264, 9.24264, 0., -1., 0., 0., 0., 16.4853, 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [0., 2., 2.58579, 0., -0.242641, 0., 0., 0., 3., 0.]]), np.array([[-1., 0., 11.6569, 6.82843, 0., 0., 0., 0., 16.4853, 0.], [-0.414214, 0., 5.82843, 2.41421, 0., 0., 0., 0., 6.82843, 0.], [0., 0., 1., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 1., 0., 0., 0., 0., 0., 0.], [-0.414214, 0., 3.41421, 4.82843, 0., 0., 0., 0., 6.82843, 0.], [-1., 0., 9.24264, 9.24264, 0., 0., 0., 0., 16.4853, 0.], [-1.41421, 0., 14.0711, 11.6569, 0., 0., 0., 0., 23.3137, 0.], [-1.41421, 0., 15.0711, 10.6569, 0., 0., 0., 0., 23.3137, 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [-0.242641, 0., 2.58579, 2., 0., 0., 0., 0., 3., 0.]]), np.array([[0., 0., 0., 11.6569, 14.0711, 0., -1.41421, 0., 23.3137, 0.], [0., 0., 0., 9.24264, 9.24264, 0., -1., 0., 16.4853, 0.], [0., 0., 0., 4.82843, 3.41421, 0., -0.414214, 0., 6.82843, 0.], [0., 0., 0., 1., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 1., 0., 0., 0., 0., 0.], [0., 0., 0., 2.41421, 5.82843, 0., -0.414214, 0., 6.82843, 0.], [0., 0., 0., 6.82843, 11.6569, 0., -1., 0., 16.4853, 0.], [0., 0., 0., 10.6569, 15.0711, 0., -1.41421, 0., 23.3137, 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [0., 0., 0., 2., 2.58579, 0., -0.242641, 0., 3., 0.]]), np.array([[0., 0., 0., -3.41421, 17.4853, 10.2426, 0., 0., 23.3137, 0.], [0., 0., 0., -3.41421, 18.4853, 9.24264, 0., 0., 23.3137, 0.], [0., 0., 0., -2.41421, 14.0711, 5.82843, 0., 0., 16.4853, 0.], [0., 0., 0., -1., 6.82843, 2., 0., 0., 6.82843, 0.], [0., 0., 0., 0., 1., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], [0., 0., 0., -1., 4.41421, 4.41421, 0., 0., 6.82843, 0.], [0., 0., 0., -2.41421, 11.6569, 8.24264, 0., 0., 16.4853, 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [0., 0., 0., -0.585786, 3.17157, 1.75736, 0., 0., 3., 0.]]), np.array([[0., 0., 0., 0., -2.41421, 11.6569, 8.24264, 0., 16.4853, 0.], [0., 0., 0., 0., -3.41421, 17.4853, 10.2426, 0., 23.3137, 0.], [0., 0., 0., 0., -3.41421, 18.4853, 9.24264, 0., 23.3137, 0.], [0., 0., 0., 0., -2.41421, 14.0711, 5.82843, 0., 16.4853, 0.], [0., 0., 0., 0., -1., 6.82843, 2., 0., 6.82843, 0.], [0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 1., 0., 0., 0.], [0., 0., 0., 0., -1., 4.41421, 4.41421, 0., 6.82843, 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [0., 0., 0., 0., -0.585786, 3.17157, 1.75736, 0., 3., 0.]]), np.array([[0., 0., 0., -0.292893, 0., 0., 3., 5.12132, 6.82843, 0.], [0., 0., 0., -0.707107, 0., 0., 8.24264, 9.94975, 16.4853, 0.], [0., 0., 0., -1., 0., 0., 12.6569, 12.6569, 23.3137, 0.], [0., 0., 0., -1., 0., 0., 13.6569, 11.6569, 23.3137, 0.], [0., 0., 0., -0.707107, 0., 0., 10.6569, 7.53553, 16.4853, 0.], [0., 0., 0., -0.292893, 0., 0., 5.41421, 2.70711, 6.82843, 0.], [0., 0., 0., 0., 0., 0., 1., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [0., 0., 0., -0.171573, 0., 0., 2.34315, 2.17157, 3., 0.]]),np.array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [5.82843, 0., -0.414214, 0., 0., 0., 0., 2.41421, 6.82843, 0.], [11.6569, 0., -1., 0., 0., 0., 0., 6.82843, 16.4853, 0.], [15.0711, 0., -1.41421, 0., 0., 0., 0., 10.6569, 23.3137, 0.], [14.0711, 0., -1.41421, 0., 0., 0., 0., 11.6569, 23.3137, 0.], [9.24264, 0., -1., 0., 0., 0., 0., 9.24264, 16.4853, 0.], [3.41421, 0., -0.414214, 0., 0., 0., 0., 4.82843, 6.82843, 0.], [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [2.58579, 0., -0.242641, 0., 0., 0., 0., 2., 3., 0.]]),np.array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [5.41421, 0., 0., 0., 0., 0., 0., 3., -1.70711, 5.12132], [10.6569, 0., 0., 0., 0., 0., 0., 8.24264, -4.12132, 12.364], [13.6569, 0., 0., 0., 0., 0., 0., 12.6569, -5.82843, 17.4853], [12.6569, 0., 0., 0., 0., 0., 0., 13.6569, -5.82843, 17.4853], [8.24264, 0., 0., 0., 0., 0., 0., 10.6569, -4.12132, 12.364], [3., 0., 0., 0., 0., 0., 0., 5.41421, -1.70711, 5.12132], [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.], [2.34315, 0., 0., 0., 0., 0., 0., 2.34315, -1., 2.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]),np.array([[0., 5.82843, 2.41421, 0., 0., 0., 0., -0.414214, 0., 6.82843], [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 1., 0., 0., 0., 0., 0., 0., 0.], [0., 3.41421, 4.82843, 0., 0., 0., 0., -0.414214, 0., 6.82843], [0., 9.24264, 9.24264, 0., 0., 0., 0., -1., 0., 16.4853], [0., 14.0711, 11.6569, 0., 0., 0., 0., -1.41421, 0., 23.3137], [0., 15.0711, 10.6569, 0., 0., 0., 0., -1.41421, 0., 23.3137], [0., 11.6569, 6.82843, 0., 0., 0., 0., -1., 0., 16.4853], [0., 2.58579, 2., 0., 0., 0., 0., -0.242641, 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]), np.array([[-1., 0., 11.6569, 6.82843, 0., 0., 0., 0., 0., 16.4853], [-0.414214, 0., 5.82843, 2.41421, 0., 0., 0., 0., 0., 6.82843], [0., 0., 1., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 1., 0., 0., 0., 0., 0., 0.], [-0.414214, 0., 3.41421, 4.82843, 0., 0., 0., 0., 0., 6.82843], [-1., 0., 9.24264, 9.24264, 0., 0., 0., 0., 0., 16.4853], [-1.41421, 0., 14.0711, 11.6569, 0., 0., 0., 0., 0., 23.3137], [-1.41421, 0., 15.0711, 10.6569, 0., 0., 0., 0., 0., 23.3137], [-0.242641, 0., 2.58579, 2., 0., 0., 0., 0., 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]), np.array([[0., 0., -3.41421, 18.4853, 9.24264, 0., 0., 0., 0., 23.3137], [0., 0., -2.41421, 14.0711, 5.82843, 0., 0., 0., 0., 16.4853], [0., 0., -1., 6.82843, 2., 0., 0., 0., 0., 6.82843], [0., 0., 0., 1., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 1., 0., 0., 0., 0., 0.], [0., 0., -1., 4.41421, 4.41421, 0., 0., 0., 0., 6.82843], [0., 0., -2.41421, 11.6569, 8.24264, 0., 0., 0., 0., 16.4853], [0., 0., -3.41421, 17.4853, 10.2426, 0., 0., 0., 0., 23.3137], [0., 0., -0.585786, 3.17157, 1.75736, 0., 0., 0., 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]), np.array([[-1., 0., 0., 0., 11.6569, 13.6569, 0., 0., 0., 23.3137], [-1., 0., 0., 0., 12.6569, 12.6569, 0., 0., 0., 23.3137], [-0.707107, 0., 0., 0., 9.94975, 8.24264, 0., 0., 0., 16.4853], [-0.292893, 0., 0., 0., 5.12132, 3., 0., 0., 0., 6.82843], [0., 0., 0., 0., 1., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], [-0.292893, 0., 0., 0., 2.70711, 5.41421, 0., 0., 0., 6.82843], [-0.707107, 0., 0., 0., 7.53553, 10.6569, 0., 0., 0., 16.4853], [-0.171573, 0., 0., 0., 2.17157, 2.34315, 0., 0., 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]), np.array([[0., 0., 0., 0., 0., 5.82843, 14.0711, -2.41421, 0., 16.4853], [0., 0., 0., 0., 0., 9.24264, 18.4853, -3.41421, 0., 23.3137], [0., 0., 0., 0., 0., 10.2426, 17.4853, -3.41421, 0., 23.3137], [0., 0., 0., 0., 0., 8.24264, 11.6569, -2.41421, 0., 16.4853], [0., 0., 0., 0., 0., 4.41421, 4.41421, -1., 0., 6.82843], [0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 1., 0., 0., 0.], [0., 0., 0., 0., 0., 2., 6.82843, -1., 0., 6.82843], [0., 0., 0., 0., 0., 1.75736, 3.17157, -0.585786, 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]), np.array([[0., -0.414214, 0., 0., 0., 0., 2.41421, 5.82843, 0., 6.82843], [0., -1., 0., 0., 0., 0., 6.82843, 11.6569, 0., 16.4853], [0., -1.41421, 0., 0., 0., 0., 10.6569, 15.0711, 0., 23.3137], [0., -1.41421, 0., 0., 0., 0., 11.6569, 14.0711, 0., 23.3137], [0., -1., 0., 0., 0., 0., 9.24264, 9.24264, 0., 16.4853], [0., -0.414214, 0., 0., 0., 0., 4.82843, 3.41421, 0., 6.82843], [0., 0., 0., 0., 0., 0., 1., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.], [0., -0.242641, 0., 0., 0., 0., 2., 2.58579, 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]), np.array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [2., 6.82843, -1., 0., 0., 0., 0., 0., 0., 6.82843], [5.82843, 14.0711, -2.41421, 0., 0., 0., 0., 0., 0., 16.4853], [9.24264, 18.4853, -3.41421, 0., 0., 0., 0., 0., 0., 23.3137], [10.2426, 17.4853, -3.41421, 0., 0., 0., 0., 0., 0., 23.3137], [8.24264, 11.6569, -2.41421, 0., 0., 0., 0., 0., 0., 16.4853], [4.41421, 4.41421, -1., 0., 0., 0., 0., 0., 0., 6.82843], [1.75736, 3.17157, -0.585786, 0., 0., 0., 0., 0., 0., 3.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]])] root = Node([3.61312592975275, 3.61312592975275, 3.61312592975275, \ 3.61312592975275, 3.61312592975275, 3.61312592975275, \ 3.61312592975275, 3.61312592975275, 2.23982880884355, \ -1.00000000000000], [], words, False) current_leaves = [root] nodes = 1 while True: new_leaves = [] for leaf in current_leaves: next_gen = leaf.next_generation(words, dc, generators) new_leaves += next_gen nodes += len(next_gen) if len(next_gen) > 1 else 0 if current_leaves == new_leaves: break else: current_leaves = new_leaves for i,leaf in enumerate(current_leaves): words[str(leaf.word)] = i print(len(current_leaves), "partitions") print(nodes,"nodes") print("tree construction (s): %f\ntree construction (m): %f" % (time.time()-tt, (time.time()-tt)/60)) return current_leaves def constructMatrix(words, dc): leave = generateTree(words, dc) row = [] col = [] data = [] for i,leaf in enumerate(leave): thing = words[str(leaf.word[1:])] if isinstance(thing,int): row.append(i) col.append(thing) data.append(sampleValue(leaf.word)) else: sample = sampleValue(leaf.word) for wor in thing.leaves(): row.append(i) col.append(words[str(wor.word)]) data.append(sample) return csr_matrix((data,(row,col)),shape=(len(leave),len(leave))) def secant(x0,y0,x1,y1,z): return x0 - (y0-z) * ((x1-x0)/(y1-y0)) def matrixFunction(matrix,l,a): matrix = matrix.power(a) vec = np.ones(l) previous_entry = vec[0] previous_val = 0 current = matrix * vec current_val = current[0] / previous_entry count = 0 while count < 10000000000 and abs(current_val - previous_val) > 1e-15: previous_val = current_val previous_entry = current[0] current = matrix * current #print(current[0],previous_entry) current_val = current[0] / previous_entry count += 1 print("power method:", count) return current_val def secantMethod(matrix,l,z,x1,x2,e,its): k1 = x1 k2 = x2 y1 = matrixFunction(matrix,l,k1) y2 = matrixFunction(matrix,l,k2) #y1 = testFunction(k1) #y2 = testFunction(k2) count = 1 print(count,k1,y1) while abs(y1-z)>e and count