How to use __initialize_variables method in SeleniumBase

Best Python code snippet using SeleniumBase

Circuit.py

Source:Circuit.py

...96    values = dict()97class CircuitRAW(Circuit):98    def __init__(self,directory, file_name,run_original=False,param_filename = None):99        super().__init__(directory,file_name,run_original,param_filename)100        self.__initialize_variables()101        102    def __initialize_variables(self):103        self.numberOfVariables = None104        self.numberOfPoints = None105        self.namesOfVariables = []106        if hasattr(self,'values'):107            for name in self.values.keys():108                self.__dict__[name] = None109        self.values = dict()110    111    def run(self, flags = LTSPICE_FLAG_BATCH_RUN_ASCII_OUT):112        run_simulation(self.simulation_dir,self.simulation_file,flags)113    def pars_raw(self, file_name=None):114        self.__initialize_variables()115        if file_name == None:116            file_name = os.path.normpath(self.simulation_dir +self.simulation_file.split('.')[0] + r'.raw')117        with open(file_name, encoding="ansi") as f:118            for line in f:119                if 'No. Variables:' in line:120                    self.numberOfVariables = int(line.split(':')[1])121                    break122            for line in f:123                logging.info('Line Parsing: '+line)124                if 'No. Points:' in line:125                    self.numberOfPoints = int(line.split(':')[1])126                    break127            for line in f:128                if 'Variables:' in line:...

model.py

Source:model.py

...93        self.__build_scale3_model()94    def __init_tensorflow_session(self):95        if self.session is None:96            self.session = tf.Session()97    def __initialize_variables(self):98        if not self.vars_initialized:99            self.session.run(tf.initialize_all_variables())100    def save_model(self, name):101        self.__init_tensorflow_session()102        saver = tf.train.Saver()103        saver.save(self.session, name)104    def predict_depth(self, img):105        self.__init_tensorflow_session()106        self.__initialize_variables()...

simulator.py

Source:simulator.py

...31        self.x = []32        self.u = []33        self.dt = 034        self.sim_time = 035        self.__initialize_variables()3637    # initialize variables38    def __initialize_variables(self):39        self.x  = self.gx, self.gy, self.gyaw, self.vel = self.simulation_setting["initial_state"]["x"]40        self.u  = self.simulation_setting["initial_state"]["u"]41        self.dt = self.simulation_setting["delta_time"]42        self.sim_time = self.simulation_setting["simulation_time"]4344    def update_states(self):45        self.gx, self.gy, self.gyaw, self.vel = self.x4647    # update x with given dt48    def simulate(self, x, u, dt):49        # update state50        if self.s_model["integral_approach"] == "runge-kutta":51            # (1) update 4-dim Runge-Kutta Method52            k1 = dt * self.func_dxdt(x            , u, dt)
...

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