Best Python code snippet using avocado_python
usrp_rx_hrpt_nogui.py
Source:usrp_rx_hrpt_nogui.py  
...86		self.connect((self.gr_clock_recovery_mm_xx_0, 0), (self.gr_binary_slicer_fb_0, 0))87		self.connect((self.deframer, 0), (self.frame_sink, 0))88		self.connect((self.deframer, 0), (self.decoder, 0))89		self.connect((self.gr_binary_slicer_fb_0, 0), (self.deframer, 0))90	def set_config_filename(self, config_filename):91		self.config_filename = config_filename92		self._gain_config = ConfigParser.ConfigParser()93		self._gain_config.read(self.config_filename)94		if not self._gain_config.has_section('usrp_rx_hrpt'):95			self._gain_config.add_section('usrp_rx_hrpt')96		self._gain_config.set('usrp_rx_hrpt', 'gain', str(self.gain))97		self._gain_config.write(open(self.config_filename, 'w'))98		self._freq_config = ConfigParser.ConfigParser()99		self._freq_config.read(self.config_filename)100		if not self._freq_config.has_section('usrp_rx_hrpt'):101			self._freq_config.add_section('usrp_rx_hrpt')102		self._freq_config.set('usrp_rx_hrpt', 'freq', str(self.freq))103		self._freq_config.write(open(self.config_filename, 'w'))104		self._side_config = ConfigParser.ConfigParser()...ellipses.py
Source:ellipses.py  
1import os2from bedsim.simulation import Simulation3from bedsim.sysgen.ellipse_grid import EllipseBenchmark, EllipseBenchmarkRandom4from bedsim.btools.animate import Animate 5from bedsim.btools.statprop import Statprop6def start():7    # 1. generate system8    gen = EllipseBenchmark()9    #gen = EllipseBenchmarkRandom()10    (n,k,phi) = (25, 2, 0.7) # 32^2=102411    gen.generate(n=n, k=k, phi=phi)12    config_filename = "bedsim/data/test/EllipseBenchmark-n%s-k%s-phi%s.h5" % (n,k,phi)13    14    try:15        os.remove(config_filename) # cleanup16    except FileNotFoundError:17       pass18    19    #gen.particle_data[0]['velocity']=[3.,0.5]20    #gen.particle_data[0]['pinned'] = True21    gen.save_to_file(config_filename)22    23    # 2. simulate system24    #sim = Simulation(config_filename=config_filename, output_filename=config_filename, system_lifetime=10, brownian_timestep=None, saving_timestep=0.02, verbose=True)25    #sim = Simulation(config_filename=config_filename, output_filename=config_filename, system_lifetime=10, brownian_timestep=0.1,  saving_timestep=0.02, verbose=True)26    #sim = Simulation(config_filename=config_filename, output_filename=config_filename, system_lifetime=1, brownian_timestep=2,  saving_timestep=0.02, verbose=True)27    sim = Simulation(config_filename=config_filename, output_filename=config_filename, system_lifetime=10, brownian_timestep=0.1, saving_timestep=0.02, verbose=True)28    #sim = Simulation(config_filename=config_filename, output_filename=config_filename, system_lifetime=0.2, brownian_timestep=0.1, saving_timestep=0.001, verbose=True)29    sim.start()30    31    # 3. animate32    Animate(input_filename=config_filename, output_filename=config_filename+".mp4")33    # 4. determine statistic data34    Statprop(input_filename=config_filename)35    '''36    config_filename2 = "bedsim/data/test/EllipseBenchmark-n%s-k%s-phi%s-2.h5" % (n,k,phi)37    try:38        os.remove(config_filename2) # cleanup39    except FileNotFoundError:40       pass41    sim2 = Simulation(config_filename=config_filename, output_filename=config_filename2, system_lifetime=20, brownian_timestep=0.1,  saving_timestep=0.02, verbose=True)42    sim2.start()43    Animate(input_filename=config_filename2, output_filename=config_filename2+".mp4")44    Statprop(input_filename=config_filename2)45    '''46if __name__ == '__main__':...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.
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