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How to use print_fails method in stestr

Best Python code snippet using stestr_python

hopper.py

Source:hopper.py

1import numpy as np2import random3import queue4import math5from scipy.integrate import ode, odeint6### LOW LEVEL ROBOT FUNCTIONS ###7class Constants:8    def __init__(self, config = None):9        if config is None:10            # self.k = 2800  # Spring Constant, N/m11            self.L = 0.5  # length of leg in flight12            self.Lf = 0.3 # length of unsprung part of leg13            self.g = -9.814            self.m = 7  # kg15            self.k = 320016            self.u = 117            self.Lk0 = 0.2 # length of uncompressed spring18            self.Cd = 0.519            self.eps = 1e-220        else:21            self.L = config["L"]22            self.Lf = config["Lf"]23            self.Lk0 = config["Lk0"]24            self.g = config["g"]25            self.m = config["m"]26            self.k = config["k"]27            self.Cd = config["Cd"]28            self.eps = config["eps"]29            self.u = 1  # deprecated, now friction is part of the heightmap30class CassieConstants:31    def __init__(self):32        self.L = 0.7  # length of leg in flight33        self.Lf = 0.5 # length of unsprung part of leg34        self.g = -9.835        self.m = 10 # kg, torso mass36        self.k = 4000  # seems like a decent approximation to Cassie's urdf? 37        self.u = 1  # friction (material-dependent)38        self.Lk0 = 0.2 # length of uncompressed spring39        self.eps = 1e-240def sample_terrain_func(x):41    terrain_disc = {0:0, 0.3:0, 0.6:0.1, 0.9:0.2, 1.2:-0.5, 1.5:0.3, 1.8:0.3, 2.1:0.2, 2.4:0.3, 2.7: 0, 3.0: 0.2}42    tmp = round(x, 2) * 10043    tmp = (tmp + (30 - tmp % 30))/10044# discretized to 30 cm steps"45    if tmp < 0 or tmp >= 3.3:46        return 047    return terrain_disc[tmp]48def default_terrain_func(x):49    return 050'''51flight state vector:52 x[0]: CoM x (m)53 x[1]: CoM y (m)54 x[2]: CoM x velocity (m/s)55 x[3]: CoM y velocity (m/s)56 x[4]: angular velocity (rad/s)57 x[5]: leg angle wrt negative x-axis58'''59def flightStep(x, u, tstep):60    com_x_next = x[0] + tstep * x[2]61    com_y_next = x[1] + tstep * x[3] + 0.5*constants.g*(tstep**2)62    x_vel_next = x[2]  # x velocity does not change in flight63    y_vel_next = x[3] + constants.g * tstep  # y velocity decreases by acceleration, which is g64    w_next = x[4]65    foot_angle_next = u66    x_next = [com_x_next, com_y_next, x_vel_next, y_vel_next, w_next, foot_angle_next]67    return x_next68# calculates leg angle as a function of the current flight state and desired CoM velocity69def legAnglePControl(x_flight, x_vel_des, k, Kp, tst = 0.18):70    x_vel_cur = x_flight[2]71    xs_dot = k*(x_vel_cur + x_vel_des)/272    # xs_dot = (x_vel_cur + x_vel_des)/273    leg_fd = - (xs_dot * tst)/2 + Kp * (x_vel_des - x_vel_cur)74    leg_angle = np.arccos(leg_fd/constants.L)75    return leg_angle76### SIMULATION UTILITIES ###77sim_codes = {"SUCCESS":0, "SPRING_BOTTOM_OUT":-1, "FRICTION_CONE":-2, "A*_NO_PATH":-3, "BODY_CRASH":-4, "FOOT_CRASH":-5, "TOO_MANY_STEPS":-6}78sim_codes_rev = dict(map(reversed, sim_codes.items()))79constants = Constants()80# Wrapper class for low level functions 81class Hopper:82    def __init__(self, constants):83        self.constants = constants84    85    def flightToStance(self, x):86        Lb_init = self.constants.L87        # x_diff = x[0] - foot_pos[0]88        # y_diff = x[1] - foot_pos[1]89        # Lb_init = np.sqrt(x_diff**2 + y_diff**2)90        a_init = x[5]  91        a_d_init = (-np.sin(a_init) * x[2] + np.cos(a_init) * x[3])/Lb_init92        Lb_d_init = np.cos(a_init) * x[2] + np.sin(a_init) * x[3]93        stance_vec = [a_init, a_d_init, Lb_init, Lb_d_init]94        # print("converted stance energy", stancePhaseEnergy(stance_vec))95        return stance_vec96    # converts final stance state to initial flight state on takeoff97    def stanceToFlight(self, x_stance, foot_pos):98        # print("input stance energy", stancePhaseEnergy(x_stance))99        xb = foot_pos[0] + np.cos(x_stance[0]) * x_stance[2]100        yb = foot_pos[1] + np.sin(x_stance[0]) * x_stance[2]101        xb_d = np.cos(x_stance[0]) * x_stance[3] - np.sin(x_stance[0]) * x_stance[1] * x_stance[2]102        yb_d = np.sin(x_stance[0]) * x_stance[3] + np.cos(x_stance[0]) * x_stance[1] * x_stance[2]103        flight_vec = [xb, yb, xb_d, yb_d, 0, x_stance[0]]104        # print("converted flight energy:", flightPhaseEnergy(flight_vec))105        return flight_vec106    def flightDynamics(self, t, x):107        derivs = [x[2], x[3], 0, 0, 0, 0]108        derivs[2] = 0109        derivs[3] = constants.g110        return derivs111    def stanceDynamics(self, t, x):112        a = x[0]113        a_d = x[1]114        Lb = x[2]115        Lb_d = x[3]116        derivs = [a_d, 0, Lb_d, 0]117        a_dd = (-2 * Lb_d * a_d - np.abs(constants.g) * np.cos(a))/Lb118        Lb_dd = -constants.k/constants.m * (Lb - constants.Lf - constants.Lk0) - np.abs(constants.g) * np.sin(a) + Lb*(a_d**2)119        derivs[1] = a_dd120        derivs[3] = Lb_dd121        return derivs122    '''123    Makes sure we are within friction cone bounds and spring hasn't bottomed-out.124    '''125    def checkStanceFailure(self, x_stance, foot_pos,126                           terrain_func, terrain_normal_func=None,127                           u = None, debug = True):128      if x_stance[2] < self.constants.Lf - 0.05:129        if debug:130          print("Spring bottom-ed out:", x_stance[2])131        return sim_codes["SPRING_BOTTOM_OUT"]132      133      if terrain_normal_func is not None and u is not None:134        normal = terrain_normal_func(foot_pos[0])135        forward_limit = normal - np.arctan(u)136        rear_limit = normal + np.arctan(u)137        if x_stance[0] < forward_limit:138          if debug:139            print("Forward Friction cone violation!: leg_angle", x_stance[0], "limit = ", forward_limit)140          return sim_codes["FRICTION_CONE"]141        if x_stance[0] > rear_limit:142          if debug:143            print("Rear Friction cone violation!: leg_angle", x_stance[0], "limit = ", rear_limit)144          return sim_codes["FRICTION_CONE"]145      body_pos = self.getBodyXYInStance(x_stance, foot_pos)146      147      # This indicates a collision with a wall148      if terrain_func(body_pos[0]) > body_pos[1]:149        if debug:150          print("Collision with wall in stance! Body y", body_pos[1], " < terrain y", terrain_func(body_pos[0]))151        return sim_codes["BODY_CRASH"]152      return sim_codes["SUCCESS"]153    '''154    Checks if the body or foot collides with any terrain features155    - terrain_func is a function that maps x coord to y coord156    '''157    def checkFlightCollision(self, x_flight, terrain_func, debug = False):158      body_x = x_flight[0]159      body_y = x_flight[1]160      foot_pos = self.getFootXYInFlight(x_flight)161      if terrain_func(body_x) > body_y:162        if debug:163          print("body collision in flight phase!")164          print("For body y = ", body_y, "terrain y", terrain_func(body_x))165        return sim_codes["BODY_CRASH"]166      elif terrain_func(foot_pos[0]) > foot_pos[1] + 0.05:167        if debug:168          print("foot collision in flight phase! x = ", foot_pos[0], "y = ", foot_pos[1])169        return sim_codes["FOOT_CRASH"]170      return sim_codes["SUCCESS"]171    def getFootXYInFlight(self, x_flight):172        a = x_flight[5]173        body_x = x_flight[0]174        body_y = x_flight[1]175        foot_x = body_x - np.cos(a) * self.constants.L176        foot_y = body_y - np.sin(a) * self.constants.L177        return [foot_x, foot_y]178    def getBodyXYInStance(self, x_stance, foot_pos):179        a = x_stance[0]180        Lb = x_stance[2]181        x_b = foot_pos[0] + np.cos(a) * Lb182        y_b = foot_pos[1] + np.sin(a) * Lb183        return [x_b, y_b]184    def simulateOneStancePhase(self, x_flight, tstep = 0.01, terrain_func = default_terrain_func, 185                               print_fails = True, terrain_normal_func = None, friction = None):186        x0_stance = self.flightToStance(x_flight)187        foot_pos = self.getFootXYInFlight(x_flight)188        integrator = ode(self.stanceDynamics)189        integrator.set_initial_value(x0_stance, 0)190        code = sim_codes["SUCCESS"]191        stance_states = [x0_stance]192        success = True193        while integrator.successful():194            integrator.integrate(integrator.t + tstep)195            # print("stance energy:", getStanceEnergy(integrator.y))196            stance_states.append(integrator.y)197            if integrator.y[2] >= self.constants.L:198              break199            code = self.checkStanceFailure(integrator.y,200                                      foot_pos,201                                      terrain_func,202                                      debug = print_fails,203                                      terrain_normal_func = terrain_normal_func,204                                      u = friction)205            if code < 0:206                break207        return code, stance_states, integrator.t208    def simulateOneFlightPhaseODE(self, 209                                  x_stance, 210                                  foot_pos = None, 211                                  x_init = None, 212                                  debug = False, 213                                  u = np.pi/2, 214                                  tstep = 0.01, 215                                  terrain_func = default_terrain_func,216                                  till_apex = False,217                                  print_fails = True,218                                  hit_apex = False):219        if debug:220            x0_flight = x_init221        else:222            x0_flight = self.stanceToFlight(x_stance, foot_pos)223        foot_angle_next = u224        flight_states = [x0_flight]225        integrator = ode(self.flightDynamics)226        integrator.set_initial_value(x0_flight, 0)227        ret_val = sim_codes["SUCCESS"]228        cond = False229        success = True230        while integrator.successful():231            x = integrator.integrate(integrator.t + tstep)232            state = integrator.y233            # ke = 0.5 * constants.m * (state[2]**2 + state[3]**2)234            # pe = constants.m * np.abs(constants.g) * state[1]235            # print("flight energy:", ke + pe)236            if integrator.y[3] <= 0 and flight_states[len(flight_states)-1][3] >= 0:237                hit_apex = True238                if till_apex:239                  flight_states.append(integrator.y)240                  return sim_codes["SUCCESS"], flight_states, integrator.t241            cur_state = integrator.y242            if hit_apex:243                cur_state[5] = foot_angle_next244                cond = True245            flight_states.append(cur_state)246            foot_pos = self.getFootXYInFlight(cur_state)247            if cond and foot_pos[1] <= terrain_func(foot_pos[0]):248                if terrain_func(foot_pos[0] + 0.02) == terrain_func(foot_pos[0] - 0.02):249                    break250            if np.abs(cur_state[1] - x0_flight[1]) > 0.05:251                ret_val = self.checkFlightCollision(cur_state, terrain_func, debug = print_fails)252            if ret_val < 0:  253                break254        return ret_val, flight_states, integrator.t255# Higher level wrapper functions that simulate multiple flight/stance phases256def getNextState(hopper, x_flight, u, terrain_func):257    success, flight_states, _ = hopper.simulateOneFlightPhaseODE(None, 258                                                          x_init = x_flight,259                                                          debug = True,260                                                          u = u,261                                                          terrain_func = terrain_func,262                                                          print_fails = False)263    if not success:264        return False, -1, -1, []265    last_flight_state = flight_states[len(flight_states)-1]266    foot_pos = hopper.getFootXYInFlight(last_flight_state)267    success, stance_states, _ = hopper.simulateOneStancePhase(last_flight_state, terrain_func = terrain_func,268                                                              print_fails = False)269    if not success:270        return False, -1, -1, []271    last_stance_state = stance_states[len(stance_states) - 1]272    success, flight_states, _ = hopper.simulateOneFlightPhaseODE(last_stance_state, 273                                                                 foot_pos, 274                                                                 terrain_func = terrain_func,275                                                                 print_fails = False)276    if not success:277        return False, -1, -1, []278    apex_state = None279    for i in range (len(flight_states)-1):280        if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:281            apex_state = flight_states[i]282            break283    return True, foot_pos[0], flight_states[len(flight_states)-1], apex_state284def getNextState2Count(robot, x_flight, input_angle, terrain_func, terrain_normal_func = None, friction = None,285                  at_apex = False):286  count = 0287  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 288                                                        x_init = x_flight,289                                                        debug = True,290                                                        u= input_angle,291                                                        terrain_func = terrain_func,292                                                        print_fails = False,293                                                        hit_apex = at_apex)294  count += len(flight_states)295  if code < 0:296    return None, None, None, count297  if at_apex:298    first_apex = x_flight299  else:300    for i in range (len(flight_states)-1):301        if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:302            apex_state = flight_states[i]303            first_apex = apex_state304            break305  306  last_flight_state = flight_states[len(flight_states)-1]307  foot_pos = robot.getFootXYInFlight(last_flight_state)308  first_step_loc = foot_pos[0]309  code, stance_states, _ = robot.simulateOneStancePhase(last_flight_state,310                                                      terrain_func = terrain_func,311                                                      print_fails = False,312                                                      terrain_normal_func = terrain_normal_func,313                                                      friction = friction)314  count += len(stance_states)315  if code < 0:316    return None, None, None, count317  last_stance_state = stance_states[len(stance_states) - 1]318  x_flight = robot.stanceToFlight(last_stance_state, foot_pos)319  320  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 321                                                        x_init = x_flight,322                                                        debug = True,323                                                        u= np.pi/2,324                                                        terrain_func = terrain_func,325                                                        print_fails = False)326  second_step = flight_states[-1][0]327  count += len(flight_states)328  if code < 0:329    return None, None, None, count330  for i in range (len(flight_states)-1):331    if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:332      second_apex = flight_states[i]333      break334  return first_apex, second_apex, flight_states[-1], count335def getNextState2(robot, x_flight, input_angle, terrain_func, terrain_normal_func = None, friction = None,336                  at_apex = False):337  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 338                                                        x_init = x_flight,339                                                        debug = True,340                                                        u= input_angle,341                                                        terrain_func = terrain_func,342                                                        print_fails = False,343                                                        hit_apex = at_apex)344  if code < 0:345    return None, None, None346  if at_apex:347    first_apex = x_flight348  else:349    for i in range (len(flight_states)-1):350        if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:351            apex_state = flight_states[i]352            first_apex = apex_state353            break354  355  last_flight_state = flight_states[len(flight_states)-1]356  foot_pos = robot.getFootXYInFlight(last_flight_state)357  first_step_loc = foot_pos[0]358  code, stance_states, _ = robot.simulateOneStancePhase(last_flight_state,359                                                         terrain_func = terrain_func,360                                                         print_fails = False,361                                                         terrain_normal_func = terrain_normal_func,362                                                         friction = friction)363  if code < 0:364    return None, None, None365  last_stance_state = stance_states[len(stance_states) - 1]366  x_flight = robot.stanceToFlight(last_stance_state, foot_pos)367  368  # simulate one more flight phase to check for collision (for robustness)369  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 370                                                        x_init = x_flight,371                                                        debug = True,372                                                        u= np.pi/2,373                                                        terrain_func = terrain_func,374                                                        print_fails = False)375  second_step = flight_states[-1][0]376  if code < 0:377    return None, None, None378  for i in range (len(flight_states)-1):379    if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:380      apex_state = flight_states[i]381      second_apex = apex_state382      break383  return first_apex, second_apex, flight_states[-1]384def getNextState3(robot, x_flight, input_angle, terrain_func, terrain_normal_func = None, friction = None):385  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 386                                                      x_init = x_flight,387                                                      debug = True,388                                                      u= input_angle,389                                                      terrain_func = terrain_func,390                                                      print_fails = False)391  if code < 0:392    return None, None393  for i in range (len(flight_states)-1):394      if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:395          apex_state = flight_states[i]396          first_apex = apex_state397          break398  399  last_flight_state = flight_states[len(flight_states)-1]400  foot_pos = robot.getFootXYInFlight(last_flight_state)401  first_step_loc = foot_pos[0]402  code, stance_states, _ = robot.simulateOneStancePhase(last_flight_state,403                                                  terrain_func = terrain_func,404                                                  print_fails = False,405                                                  terrain_normal_func = terrain_normal_func,406                                                  friction = friction)407  if code < 0:408    return None, None409  last_stance_state = stance_states[len(stance_states) - 1]410  x_flight = robot.stanceToFlight(last_stance_state, foot_pos)411  412  # simulate one more flight phase to check for collision (for robustness)413  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 414                                                    x_init = x_flight,415                                                    debug = True,416                                                    u= np.pi/2,417                                                    terrain_func = terrain_func,418                                                    print_fails = False)419  420  second_step = flight_states[-1][0]421  if code < 0:422    return None, None423  return first_step_loc, second_step424def simulateNSteps(robot, n, initial_apex, input_angles, terrain_func, return_apexes = False,425                   terrain_normal_func = None, friction = None, print_fails = False):426  steps = 0427  step_locs = []428  if len(input_angles) != n:429    return None, None430  x_flight = initial_apex431  apexes = []432  while steps < n:433    code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 434                                                      x_init = x_flight,435                                                      debug = True,436                                                      u= input_angles[steps],437                                                      terrain_func = terrain_func,438                                                      print_fails = print_fails)439    if code < 0:440      return None, None441    for i in range (len(flight_states)-1):442        if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:443            apex_state = flight_states[i]444            apexes.append(apex_state)445            break446    447    last_flight_state = flight_states[len(flight_states)-1]448    foot_pos = hopper.sgetFootXYInFlight(last_flight_state)449    step_locs.append(foot_pos[0])450    code, stance_states, _ = robot.simulateOneStancePhase(last_flight_state,451                                                       terrain_func = terrain_func,452                                                       print_fails = print_fails,453                                                       terrain_normal_func = terrain_normal_func,454                                                       friction = friction)455    steps += 1456    if code < 0:457      return None, None458    last_stance_state = stance_states[len(stance_states) - 1]459    x_flight = hopper.sstanceToFlight(last_stance_state, foot_pos)460  461  # simulate one more flight phase to check for collision (for robustness)462  code, flight_states, _ = robot.simulateOneFlightPhaseODE(None, 463                                                        x_init = x_flight,464                                                        debug = True,465                                                        u= np.pi/2,466                                                        terrain_func = terrain_func,467                                                        print_fails = print_fails)468  469  if code < 0:470    return None, None471  for i in range (len(flight_states)-1):472    if flight_states[i+1][3] <= 0 and flight_states[i][3] >= 0:473      apex_state = flight_states[i]474      apexes.append(apex_state)475      break476  if return_apexes:477    return step_locs, apexes478  else:...

main.py

Source:main.py

1moder = False23try:4    import requests5    import colorama6    import capmonster_python7except:8    moder = True91011if moder == True:12    print("Missing Modules Press Enter To Download Them (May Not Always Work): ")13    input("")14    try:15        import os16        os.system("pip install requests")17        os.system("pip install colorama")18        os.system("pip install capmonster-python")19        print("Problem May Be Fixed Now, Restart The Program")20        input("")21        exit()22    except:23        print("Failed To Install Modules")24        input("")25        exit()26    27    282930import json31import threading32import time33import random34import os3536373839try:40    import os41    os.system("title " + "Discord Account Creator,   Made By blob#0005,   Github: github.com/blob0005")42except:43    pass444546colorama.init(autoreset=True)47def settings():48    while True:49        error = False50        try:51            global api_key52            global print_fails53            global print_captcha54            global print_taskid55            global print_fingerprint56            global username57            global password58            global print_email59            global print_proxy60            global invite61            global random_letters62            global threads63            global use_proxies64            global random_user65            json_data = open("settings.json")66            json_data = json.load(json_data)67            api_key = json_data["capmonster_key"]68            print_fails = json_data["print_fails_y_or_n"]69            print_captcha = json_data["print_captcha_key_y_or_n"]70            print_taskid = json_data["print_task_id_key_y_or_n"]71            print_fingerprint = json_data["print_fingerprint_y_or_n"]72            username = json_data["tokens_username"]73            password = json_data["tokens_password"]74            print_email = json_data["print_email_y_or_n"]75            print_proxy = json_data["print_proxy_y_or_n"]76            threads = json_data["threads"]77            invite = json_data["invite_code"]78            random_letters = json_data["random_letters_after_token_username_y_or_n"]79            use_proxies = json_data["use_proxies_y_or_n"]80            random_user = json_data["random_username_from_names.txt_y_or_n"]81            try:82                bal = capmonster_python.HCaptchaTask(api_key)83                el = bal.get_balance()84            except:85                error = True86            if print_fails != "y" and print_fails != "n":       87                error = True88            if print_captcha != "y" and print_captcha != "n":       89                error = True    90            if print_taskid != "y" and print_taskid != "n":       91                error = True92            if print_fingerprint != "y" and print_fingerprint != "n":       93                error = True94            if print_email != "y" and print_email != "n":       95                error = True96            if print_proxy != "y" and print_proxy != "n":       97                error = True98            if random_letters != "y" and random_letters != "n":       99                error = True100            if use_proxies != "y" and use_proxies != "n":       101                error = True102            if "-" in str(threads):103                error = True104            if random_user != "y" and random_user != "n":105                error = True106            try:107                threads = int(threads)108            except:109                error = True110            if error == True:111                print(colorama.Fore.RED + "[-] Press Enter When You Have Fixed Settings And All Settings Will Reload")112                input("")113            if error == False:114                break115        except Exception as e:116            print(colorama.Fore.RED + 'Missing "settings.json" File, It Stores All Settings')117            input("")118            exit()119120121    if str(threads) != "1" and use_proxies == "n":122            print("Cannot Have More Than 1 Thread Without Proxies, Please Restart The Program And Enter Valid Settings")123            input("")124            exit()125126127settings()128129130131cap = capmonster_python.HCaptchaTask(api_key)132133134135def gen():136    try:137        while True:138139            session = requests.session()140            141            if use_proxies == "y":142                prox = open("rotating_proxy.txt", "r")143                proxy = str(prox.readline())144                print(proxy)145                print(colorama.Fore.GREEN + "[-] Loaded Proxie")146            147            while True:148                try:149                    tt = cap.create_task("https://discord.com/register", "4c672d35-0701-42b2-88c3-78380b0db560")150                    if print_taskid == "y":151                        print(colorama.Fore.GREEN + "[+] Succsesfully Got Task Id, " + str(tt))152                    if print_taskid == "n":153                        print(colorama.Fore.GREEN + "[+] Succsesfully Got Task Id")154                    break155                except Exception:156                    if print_fails == "y":157                        print(colorama.Fore.RED + "[-] Failed To Get Task Id, Retrying")158159160            while True:161                try:162                    captcha = cap.join_task_result(tt)163                    captcha = str(captcha.get("gRecaptchaResponse"))164                    if print_captcha == "n":165                        print(colorama.Fore.GREEN + "[+] Succsesfully Got Captcha Key")166                    if print_captcha == "y":167                        print(colorama.Fore.GREEN + "[+] Succsesfully Got Captcha Key, " + captcha)168                    break169                except:170                    if print_fails == "y":171                        print(colorama.Fore.RED + "[-] Failed To Get Captcha Key, Retrying")172173174175            while True:176                try:177                    session.headers["X-Fingerprint"] = session.get("https://discord.com/api/v9/experiments").json()["fingerprint"]178                    Fingerprint = session.headers["X-Fingerprint"]179                    if print_fingerprint == "y":180                        print(colorama.Fore.GREEN + "[+] Succsesfully Got Fingerprint, " + Fingerprint)181                    if print_fingerprint == "n":182                        print(colorama.Fore.GREEN + "[+] Succsesfully Got Fingerprint")183                    break184                except:185                    if print_fails == "y":186                        print(colorama.Fore.RED + "[-] Failed To Get Fingerprint, Retrying")187            session.xsup = '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'188            session.headers = {189                    'Host': 'discord.com', 'Connection': 'keep-alive',190                    'sec-ch-ua': '"Chromium";v="92", " Not A;Brand";v="99", "Google Chrome";v="92"',191                    'X-Super-Properties': session.xsup,192                    'Accept-Language': 'en-US', 'sec-ch-ua-mobile': '?0',193                    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36 Edg/93.0.961.47",194                    'Content-Type': 'application/json', 'Authorization': 'undefined',195                    'Accept': '*/*', 'Origin': 'https://discord.com',196                    'Sec-Fetch-Site': 'same-origin', 'Sec-Fetch-Mode': 'cors',197                    'Sec-Fetch-Dest': 'empty', 'Referer': 'https://discord.com/register',198                    'X-Debug-Options': 'bugReporterEnabled',199                    'Accept-Encoding': 'gzip, deflate, br',200                    'Cookie': 'OptanonConsent=version=6.17.0; locale=th'201                }202            choices = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]203            if random_user == "n":204                if random_letters == "y":205                    rande = random.choices(choices, k=5)206                    rande = "".join(rande)207                    rande = str(rande)208                    rande = " | " + rande209                if random_letters == "n":210                    rande = ""211212                usa = username + rande213214            if random_user == "y":215                fe = open("names.txt", "r")216                er = fe.readlines()217                ee = []218                for t in er:219                    if "\n" in t:220                        ee.append(t[:-1])221                    else:222                        ee.append(t)223                usa = str(random.choice(ee))224                fe.close()225226                print("usa ", usa)227            email = random.choices(choices, k=16)228            email = str("".join(email))229            if print_email == "y":230                print(colorama.Fore.GREEN + f"[+] Generated Email, {email}@gmail.com")231            if print_email == "n":232                print(colorama.Fore.GREEN + f"[+] Generated Email")233            payload = {234                "fingerprint": Fingerprint,235                "email": f"{email}@gmail.com",236                "username": f"{usa}",237                "password": password,238                "invite": invite,239                "consent": True,240                "date_of_birth": "2003-11-18",241                "gift_code_sku_id": None,242                "captcha_key": captcha,243                "promotional_email_opt_in": True244            }245            while True:246                if use_proxies == "y":247                    session.proxies = {248                        "http": proxy,249                        "https": proxy250                    }251                reg = session.post('https://discord.com/api/v9/auth/register', json=payload)252                res = str(reg)253                jle = reg.json()254                if "201" in res:255                    token = str(jle["token"])256                    file = open("tokens.txt", "a")257                    file.write(token+"\n")258                    file.close()259                    print(colorama.Fore.GREEN + f"[+] Generated Token/Account ({usa}), Saved In tokens.txt And If Invite In settings.json Is Valid Token Shall Auto Join")260                    break261                if "429" in res:262                    time2 = float(jle["retry_after"])263                    if print_fails == "y":264                        print(colorama.Fore.RED + f"[-] Rate Limited, Sleeping For {str(time2)} Seconds")265                    time.sleep((float(time2)))266                if "400" in res:267                    if print_fails == "y":268                        print(colorama.Fore.RED + "[-] Failed To Create Account")269                    break270                if "400" not in res and "429" not in res and "201" not in res:271                    if print_fails == "y":272                        print(colorama.Fore.RED + "[-] Unkown Error")273                    break   274            if str(threads) == "1":275                print(colorama.Fore.LIGHTGREEN_EX + "------------------------")276    except Exception as e:277        print(str(e))278        if print_fails == "y":279            print(colorama.Fore.RED + "[-] Unkown Error")280281def clear():282    os.system("cls")283284try:285    bal = capmonster_python.HCaptchaTask(api_key)286    el = bal.get_balance()287except:288    print(colorama.Fore.RED + "[-] Capmonster Key Is Invalid")289    while True:290        input("")291while True:292    tools = input("""293    1. Token Generator/Member Botter/Token Creator294    2. Check Capmonster Balance295    3. Reload Settings296    > """)297    if tools == "1":298        er = 0299        for u in range(int(threads)):300            threading.Thread(target=gen).start()301            er = int(er) + 1302            print(colorama.Fore.GREEN + f"[+, {str(er)}] Started Thread")303        while True:304            input("")305    if tools == "2":306        print(colorama.Fore.GREEN + "[+] Getting Balance, Be Patient")307        try:308            bal = capmonster_python.HCaptchaTask(api_key)309            print(colorama.Fore.GREEN + "[+] Balance: " + str(bal.get_balance()) + "$")310        except:311            print(colorama.Fore.RED + "[-] Capmonster Key Is Invalid")312        input("    > ")313        clear()314    if tools == "3":315        settings()316        print(colorama.Fore.GREEN + "[+] Reloaded Settings")317        input("    > ")
...

unit_tests.py

Source:unit_tests.py

1#!/usr/bin/env python32#3# Copyright (C) [2020] Futurewei Technologies, Inc.4#5# FORCE-RISCV is licensed under the Apache License, Version 2.06#  (the "License"); you may not use this file except in compliance7#  with the License.  You may obtain a copy of the License at8#9#  http://www.apache.org/licenses/LICENSE-2.010#11# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES12# OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO13# NON-INFRINGEMENT, MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.14# See the License for the specific language governing permissions and15# limitations under the License.16#17import getopt18import os19import shlex20import subprocess21import sys22import time23from functools import partial24from multiprocessing import Pool, Manager25from regression_utils import verify_force_path, verify_dir_writable26def usage(extra=None):27    usage_str = (28        """29Run quick regression30  -h, --help            print this help message31  --clean               Run "make clean" in each unit test directory before32                        running "make".33  --force-path          point to force path.34  --nopicky             disable -Weffc++ compiler flag.35  -x, --process-max     The maximum number of concurrent execution threads.36  -z, --print-failures  Print the stdout and stderr of each failing test case37                        to the console.38Example:39    %s --force-path force-gen-path40"""41        % sys.argv[0]42    )43    print(usage_str)44    if extra:45        print(extra)46class ExecutionTrace:47    def __init__(self, arg_stdout, arg_retcode, arg_cmd, arg_time):48        self.stdout = arg_stdout49        self.retcode = arg_retcode50        self.cmd = arg_cmd51        self.execution_duration = arg_time52def unit_tests():53    try:54        my_oplist = [55            "help",56            "clean",57            "force-path=",58            "nopicky",59            "process-max=",60            "print-failures",61        ]62        (opts, args) = getopt.getopt(sys.argv[1:], "hx:z", my_oplist)63    except getopt.GetoptError as err:64        print("\nERROR: " + str(err) + "\n")65        print(66            'Please Run "'67            + sys.argv[0]68            + ' -h or --help" for usage information\n'69        )70        sys.exit(1)71    clean_build = False72    force_path = None73    process_max = 1674    print_fails = False75    nopicky = False76    for (o, a) in opts:77        if o in ("-h", "--help"):78            usage()79            sys.exit(0)80        elif o == "--clean":81            clean_build = True82        elif o == "--force-path":83            force_path = a84        elif o == "--nopicky":85            nopicky = True86        elif o in ["-x", "--process-max"]:87            process_max = int(a)88        elif o in ["-z", "--print-failures"]:89            print_fails = True90        else:91            raise ValueError("Unhandled option.")92    if not force_path:93        try:94            force_path = os.environ["FORCE_PATH"]95        except KeyError as ke:96            force_path = "."97            print('Default FORCE_PATH=".".')98    force_path = os.path.abspath(force_path)99    (_, unit_tests_path) = verify_force_path(force_path)100    run_unit_tests(101        unit_tests_path, process_max, print_fails, nopicky, clean_build102    )103    sys.exit(0)104def run_unit_tests(105    unit_tests_path, num_parallel_workers, print_fails, nopicky, clean_build106):107    verify_dir_writable(unit_tests_path)108    p = Pool(num_parallel_workers)109    arg_array = list()110    sharing_manager = Manager()111    job_output_queue = sharing_manager.list()112    for test_layer_dirname in os.listdir(unit_tests_path):113        test_layer_path = os.path.join(unit_tests_path, test_layer_dirname)114        if os.path.isdir(test_layer_path):115            for test_dirname in os.listdir(test_layer_path):116                test_path = os.path.join(test_layer_path, test_dirname)117                if os.path.isdir(test_path) and (test_dirname != ".svn"):118                    arg_tuple = (test_path, test_dirname, job_output_queue)119                    arg_array.append(arg_tuple)120    run_one_test = partial(run_one_unit_test, nopicky, clean_build)121    p.map(run_one_test, arg_array)122    p.close()123    p.join()124    num_fails = 0125    bufp = list()126    bufp.append("The following tests have failed: \n")127    for (test_dirname, process_return) in job_output_queue:128        if process_return.retcode != 0:129            num_fails += 1130            bufp.append(131                "[%s]: Test: %s. Command: %s. Duration: %s seconds."132                % (133                    str(num_fails),134                    test_dirname,135                    process_return.cmd,136                    str(process_return.execution_duration),137                )138            )139            if print_fails:140                bufp.append(process_return.stdout)141                bufp.append("\n=======\n")142    if num_fails == 0:143        print("=====ALL SUCCESS!=====")144    else:145        print("\n=====FAILURES:=====")146        for output in bufp:147            print(output)148        print("%s failures.\n" % (num_fails))149def run_one_unit_test(nopicky, clean_build, arg_tuple):150    (test_path, test_dirname, execution_queue) = arg_tuple151    cur_path = os.getcwd()152    os.chdir(test_path)153    success = True154    if clean_build:155        cmd = "make clean"156        process_return = execute_command(cmd)157        success = process_return.retcode == 0158    make_duration = 0.0159    if success:160        cmd = "make OPTIMIZATION=-O0"161        if nopicky:162            cmd += " PICKY="163        process_return = execute_command(cmd)164        success = process_return.retcode == 0165        make_duration = process_return.execution_duration166        log_output(process_return.stdout, test_path, "make.log")167    run_duration = 0.0168    if success:169        cmd = "bin/%s_test" % test_dirname170        process_return = execute_command(cmd)171        success = process_return.retcode == 0172        run_duration = process_return.execution_duration173        log_output(process_return.stdout, test_path, "run.log")174    result_string = "SUCCESS." if success else "FAILED."175    print(176        "%s: %s (Make Duration: %0.4f sec; Run Duration: %0.4f sec)"177        % (test_dirname, result_string, make_duration, run_duration)178    )179    # Whole append call is done in one GIL lock; list appends are thread safe,180    # no need for special threaded queues181    execution_queue.append((test_dirname, process_return))182    os.chdir(cur_path)183def execute_command(cmd):184    # Measure the amount of time it took to run this test185    start_time = time.time()186    process = subprocess.run(187        shlex.split(cmd), stdout=subprocess.PIPE, stderr=subprocess.STDOUT188    )189    end_time = time.time()190    process_stdout = process.stdout.decode("utf-8")191    ret_code = process.returncode192    trace = ExecutionTrace(193        process_stdout, ret_code, cmd, end_time - start_time194    )195    return trace196def log_output(output, test_path, file_name):197    with open(os.path.join(test_path, "bin", file_name), "w") as log_file:198        log_file.write(output)199if __name__ == "__main__":...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.