How to use invariant_1 method in hypothesis

Best Python code snippet using hypothesis

datalog.py

Source: datalog.py Github

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1import logging2from pyDatalog import pyDatalog3from pyDatalog import pyEngine4pyEngine.Logging = True5logging.basicConfig(level=logging.INFO)6 7 8pyDatalog.create_terms('isConnected,hostACL,A,existsRoute,knows,hasAccount,H,K,M,hasUser,N,Q,P,S,listeningOn,U,T,V,X,isRouter,ID6,ID4,ID5,ID2,ID3,ID1,R')9## www_1 ##10# www_system_1 (sdl.nodes.System.Linux),isConnected11+ isConnected(1,'www_1', 'DMZ_subnet_1')12# www_root_1 (sdl.nodes.User.Linux),hasUser13+ hasUser(2,'www_root_1', 'www_1', 'None', 'admin')14# www_ssh_1 (sdl.nodes.Software.Server.SSH.Linux.OpenSSH),listeningOn15+ listeningOn(3,'www_1', 'tcp', '22')16# www_vuln2_1 (sdl.nodes.Vulnerability.Linux.User.RemoteWeakPassword),hasAccount17hasAccount(4,A, 'www_1', 'www_user1_1') <= knows(ID1,A, 'alice') & hasUser(ID2,'www_user1_1', 'www_1', P, R) & listeningOn(ID3,'www_1', 'tcp', '22') & hostACL(ID4,K, 'www_1', 'tcp', '22') & hasAccount(ID5,A, K, V)18# www_vuln1_1 (sdl.nodes.Vulnerability.Linux.EOP.APT),hasAccount19hasAccount(5,A, 'www_1', 'www_root_1') <= hasUser(ID1,'www_root_1', 'www_1', P, R) & hasAccount(ID2,A, 'www_1', 'www_user1_1')20# www_weak1_1 (sdl.nodes.Vulnerability.Linux.User.RemoteEnumerable),knows21knows(6,A, 'alice') <= listeningOn(ID1,'www_1', 'tcp', '80') & hostACL(ID2,K, 'www_1', 'tcp', '80') & hasAccount(ID3,A, K, V)22# www_user1_1 (sdl.nodes.User.Linux),hasUser23+ hasUser(7,'www_user1_1', 'www_1', 'xexexexe', 'user')24# www_http_1 (sdl.nodes.Software.Server.HTTP.Linux.Apache),listeningOn25+ listeningOn(8,'www_1', 'tcp', '80')26# www_cms_1 (sdl.nodes.Software.Server.CMS.Linux.Wordpress),knows227knows(9,A, 'venerus') <= hasUser(ID1,'www_sysuser1_1','www_1',P, R) & hasAccount(ID2,A,'www_1', 'www_sysuser1_1')28# www_cms_1 (sdl.nodes.Software.Server.CMS.Linux.Wordpress),knows129knows(10,A, 'venerus') <= hasUser(ID1,U,'www_1',P,'admin') & hasAccount(ID2,A,'www_1',U)30# www_sysuser1_1 (sdl.nodes.User.Linux),hasUser31+ hasUser(11,'www_sysuser1_1', 'www_1', 'None', 'user')32## Firewall_1 ##33# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute34+ existsRoute(12,'Server_subnet_1','Server_subnet_1','Firewall_1')35# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute36+ existsRoute(12,'Server_subnet_1','Outside_subnet_1','Firewall_1')37# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute38+ existsRoute(12,'Server_subnet_1','DMZ_subnet_1','Firewall_1')39# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute40+ existsRoute(12,'Outside_subnet_1','Server_subnet_1','Firewall_1')41# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute42+ existsRoute(12,'Outside_subnet_1','Outside_subnet_1','Firewall_1')43# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute44+ existsRoute(12,'Outside_subnet_1','DMZ_subnet_1','Firewall_1')45# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute46+ existsRoute(12,'DMZ_subnet_1','Server_subnet_1','Firewall_1')47# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute48+ existsRoute(12,'DMZ_subnet_1','Outside_subnet_1','Firewall_1')49# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),existsRoute50+ existsRoute(12,'DMZ_subnet_1','DMZ_subnet_1','Firewall_1')51# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),isConnected52+ isConnected(13,'Firewall_1', 'Server_subnet_1')53# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),isConnected54+ isConnected(13,'Firewall_1', 'Outside_subnet_1')55# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),isConnected56+ isConnected(13,'Firewall_1', 'DMZ_subnet_1')57# Firewall_UFW_1 (sdl.nodes.Firewall.UFW),isRouter58+ isRouter(14,'Firewall_1')59# Firewall_DefaultRoute1_1 (sdl.nodes.Configuration.DefaultRoute.Firewall.UFW),existsRoute60existsRoute(15,'Outside_subnet_1', N, 'Firewall_1') <= isConnected(ID1,X, 'Outside_subnet_1') & isRouter(ID2,X) & existsRoute(ID3,'Outside_subnet_1', N, X)61## ns_1 ##62# dns_bind_1 (sdl.nodes.Software.Server.DNS.Linux.Bind),listeningOn63+ listeningOn(16,'ns_1', 'udp', '53')64# dns_system_1 (sdl.nodes.System.Linux),isConnected65+ isConnected(17,'ns_1', 'DMZ_subnet_1')66## db_1 ##67# db_config_1 (sdl.nodes.Configuration.DBMS.Linux.MySQL.RootAllHosts),listeningOn68+ listeningOn(18,'db_1', 'tcp', '3306')69# db_cmsdb_1 (sdl.nodes.Configuration.DB.Linux.MySQL),knows70knows(19,A, 'CMS') <= knows(ID1,A, 'venerus') & hasAccount(ID2,A,H,U) & hostACL(ID3,H, 'db_1', 'tcp', '3306')71# db_system_1 (sdl.nodes.System.Linux),isConnected72+ isConnected(20,'db_1', 'Server_subnet_1')73# db_confidentialdb_1 (sdl.nodes.Configuration.DB.Linux.MySQL),knows74knows(21,A, 'DB_confidential') <= knows(ID1,A, 'venerus') & hasAccount(ID2,A,H,U) & hostACL(ID3,H, 'db_1', 'tcp', '3306')75## root-ns_1 ##76# root-ns_bind_1 (sdl.nodes.Software.Server.DNS.Linux.Bind),listeningOn77+ listeningOn(22,'root-ns_1', 'udp', '53')78# root-ns_system_1 (sdl.nodes.System.Linux),isConnected79+ isConnected(23,'root-ns_1', 'Simint1_subnet_1')80## invariant_1 ##81# invariant_1 (sdl.nodes.Invariant),existsRoute82existsRoute(24,N,M,X) <= isConnected(ID1,X,N) & isConnected(ID2,X,M) & isRouter(ID3,X)83# invariant_1 (sdl.nodes.Invariant),hostACL184hostACL(25,H,K,P,Q) <= listeningOn(ID1,K,P,Q) & isConnected(ID2,K,N) & isConnected(ID3,H,M) & isConnected(ID4,S,M) & isRouter(ID5,S) & existsRoute(ID6,T,N,S)85# invariant_1 (sdl.nodes.Invariant),hostACL286hostACL(26,H,K,P,Q) <= listeningOn(ID1,K,P,Q) & isConnected(ID2,H,N) & isConnected(ID3,K,N)87# invariant_1 (sdl.nodes.Invariant),hasAccount88hasAccount(27,A,H,U) <= hasUser(ID1,U,H,P,R) & knows(ID2,A,U) & knows(ID3,A,P)89## client_1 ##90# eve_1 (sdl.nodes.Principal),hasAccount91+ hasAccount(28,'eve_1', 'client_1','client_user1_1')92# client_user1_1 (sdl.nodes.User.Linux),hasUser93+ hasUser(29,'client_user1_1', 'client_1', 'supersecret', 'admin')94# client_system_1 (sdl.nodes.System.Linux),isConnected95+ isConnected(30,'client_1', 'Simint1_subnet_1')96## Provider_1 ##97# Provider_Route1_1 (sdl.nodes.Configuration.Route.Firewall.VyOS),existsRoute98+ existsRoute(31,'Outside_subnet_1', 'DMZ_subnet_1','Provider_1')99# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute100+ existsRoute(32,'Extnet_subnet_1','Extnet_subnet_1','Provider_1')101# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute102+ existsRoute(32,'Extnet_subnet_1','Outside_subnet_1','Provider_1')103# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute104+ existsRoute(32,'Extnet_subnet_1','Simint1_subnet_1','Provider_1')105# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute106+ existsRoute(32,'Outside_subnet_1','Extnet_subnet_1','Provider_1')107# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute108+ existsRoute(32,'Outside_subnet_1','Outside_subnet_1','Provider_1')109# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute110+ existsRoute(32,'Outside_subnet_1','Simint1_subnet_1','Provider_1')111# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute112+ existsRoute(32,'Simint1_subnet_1','Extnet_subnet_1','Provider_1')113# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute114+ existsRoute(32,'Simint1_subnet_1','Outside_subnet_1','Provider_1')115# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),existsRoute116+ existsRoute(32,'Simint1_subnet_1','Simint1_subnet_1','Provider_1')117# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),isConnected118+ isConnected(33,'Provider_1', 'Extnet_subnet_1')119# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),isConnected120+ isConnected(33,'Provider_1', 'Outside_subnet_1')121# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),isConnected122+ isConnected(33,'Provider_1', 'Simint1_subnet_1')123# Provider_Firewall_1 (sdl.nodes.Firewall.VyOS),isRouter...

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statics2.py

Source: statics2.py Github

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1# Created by YongHua | 12 April 2021 23:102# Email: yht1e20@soton.ac.uk3import numpy as np4from math import pi, sin, cos, sqrt5def stress_transformation(exx, eyy, exy, theta):6 """Stress transformation for a 2-D stress tensor matrix.7 Takes four input parameters:8 `exx` >>> the exx stress component.9 `eyy` >>> the eyy stress component.10 `exy` >>> the exy stress component.11 `theta` >>> (in degrees) which is the angle of the stress element to be rotated.12 Returns `exx'`, `eyy'` and `exy'`13 * You can choose to include or omit prefixes e.g. MPa which is 1E6, as always take14 care of units and magnitudes!15 """16 # Convert to radians for the sin and cos functions17 thetar = theta /​ 180 * pi18 rotation_matrix = np.array([19 [cos(thetar)**2, sin(thetar)**2, sin(2*thetar)],20 [sin(thetar)**2, cos(thetar)**2, -sin(2*thetar)],21 [-cos(thetar)*sin(thetar), cos(thetar)*sin(thetar), cos(2*thetar)]22 ])23 old_stress = np.array([exx, eyy, exy])24 new_stress = np.dot(rotation_matrix, old_stress)25 return new_stress26def find_principle(exx, eyy, exy):27 """Finds the principle values `eI` and `eII` of a 2-D stress element.28 Takes three input parameters: `exx`, `eyy` and `exy`. Returns a list of29 principal stresses"""30 invariant_1 = exx + eyy # trace31 invariant_2 = exx * eyy - exy ** 2 # determinant32 eI = 0.5 * (invariant_1 + sqrt(invariant_1 ** 2 - 4 * invariant_2))33 eII = 0.5 * (invariant_1 - sqrt(invariant_1 ** 2 - 4 * invariant_2))34 return [eI, eII] # returns a list35def find_maxshear(exx, eyy, exy):36 """Find the maximum shear stress `exy` in 2-D stress element subject to37 planar rotational transformation. Numerical implementation of Mohr's circle.38 Takes three input parameters: `exx`, `eyy` and `exy`. Returns a list of39 coordinates of maximum shear stresses, in the form [centre, ±radius]"""40 eI, eII = find_principle(exx, eyy, exy)41 centre = (eI + eII) /​ 2 # centre of Mohr's circle, 0.5tr(e)42 radius = abs(eI - centre) # radius of Mohr's circle43 assert abs(eI - centre) == abs(eII - centre)44 maxshear = [[centre, radius], [centre, -radius]]45 return maxshear46if __name__ == '__main__':47 # example48 help(stress_transformation)49 print(stress_transformation(40, 860, 375, 30))50 help(find_principle)51 print(find_principle(-25, 75, -56))52 help(find_maxshear)...

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test_prec.py

Source: test_prec.py Github

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1import torch2import numpy as np3import pickle as pkl4'''5train_mdata_, bb, invariant_1 = pkl.load(open('snapshot.pkl', 'rb'))6invariant = np.where(invariant_1)[0]7tnsr_features_ = train_mdata_._getTensorFeatures().cuda()8basis = bb.getBasisTensor()9bias = bb.getBiasTensor()10sub_basis = basis[:, :, invariant]11sub_bias = bias[:, invariant]12print('num boundaries: ', sub_bias.shape)13'''14invariant_2 = np.zeros(6452, dtype='bool')15dice = np.random.rand(6452)16invariant_2[dice < 0.01] = True17#invariant_2[invariant_1] = True18print(np.sum(invariant_2))19invariant = invariant_220tnsr_features_ = torch.rand(10808, 784).cuda().squeeze()21basis = (torch.rand(1, 784, 6452) - 0.5).cuda().squeeze()22bias = (torch.rand(1, 6452) - 0.5).cuda().squeeze()23sub_basis = basis[:, invariant]24sub_bias = bias[invariant]25print('=============================')26print(tnsr_features_.dtype, tnsr_features_.shape)27print(basis.dtype, basis.shape)28print(bias.dtype, bias.shape)29print(sub_basis.dtype, sub_basis.shape)30print(sub_bias.dtype, sub_bias.shape)31hashval = torch.mm(tnsr_features_, basis)32sub_hashval = hashval[:, invariant]33sub_config = np.zeros(sub_hashval.shape)34sub_config[sub_hashval.cpu().numpy() > 0] = 135sub_basis = basis[:, invariant]36sub_bias = bias[invariant]37new_sub_hashval = torch.mm(tnsr_features_, sub_basis)38new_sub_config = np.zeros(new_sub_hashval.shape)39new_sub_config[new_sub_hashval.cpu().numpy() > 0] = 140diff1 = np.sum(np.abs(sub_hashval.cpu().numpy() - new_sub_hashval.cpu().numpy()))41print('diff1: ', diff1)42diff2 = np.sum(np.abs(sub_config - new_sub_config))43print('diff2: ', diff2)44diff_mat = np.abs(sub_hashval.cpu().numpy() - new_sub_hashval.cpu().numpy())45print(np.amax(diff_mat))46'''47print(np.amin(sub_hashval.numpy()), np.amax(sub_hashval.numpy()))48print(np.amin(new_sub_hashval.numpy()), np.amax(new_sub_hashval.numpy()))...

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