def __init__(self, target_state=None):
self.controller_name = "TipNet"
IO.connect()
self.scan_bias_voltage = -3.5
self.improver = ImprovementController(person_name=self.controller_name)
self.improver.saveloc = "/home/mltest1/tmp/pycharm_project_510/Data/ImprovementSessions2/"
self.improver.reset(destroy_tip=False)
self.observation_space = spaces.Box(low=0,
high=1,
shape=(17, ),
dtype=np.float32)
self.action_space = spaces.Discrete(24)
self.target_state = target_state
def view_channel_properties(channel_name):
# TODO: Rewrite!
def read_prop(obj, prop):
out = getattr(obj, prop)()
print(prop + ':', out)
channel_props = ['Enable']
clock_props = ['Enable', 'Period', 'Samples']
experiment_props = [
'Bricklet_Written', 'Name', 'Result_File_Name', 'Result_File_Path',
'State'
]
gap_voltage_control_props = ['Preamp_Range', 'Voltage']
regulator_props = [
'Enable_Z_Offset_Slew_Rate', 'Feedback_Loop_Enabled', 'Loop_Gain_1_I',
'Loop_Gain_2_I', 'Preamp_Range_1', 'Preamp_Range_2', 'Setpoint_1',
'Setpoint_2', 'Z_Offset', 'Z_Offset_Slew_Rate', 'Z_Out'
]
view_props = ['Cycle_Count', 'Data_Size', 'Deliver_Data', 'Run_Count']
xy_scanner_props = [
'Angle', 'Area', 'Enable_Drift_Compensation', 'Lines', 'Offset',
'Plane_X_Slope', 'Plane_Y_Slope', 'Points', 'Raster_Time',
'Return_To_Stored_Position', 'Store_Current_Position',
'Target_Position', 'Trigger_Execute_At_Target_Position',
'XY_Position_Report', 'X_Drift', 'X_Retrace', 'X_Retrace_Trigger',
'X_Trace_Trigger', 'Y_Drift', 'Y_Retrace', 'Y_Retrace_Trigger',
'Y_Trace_Trigger'
]
obj_names = [
'channel', 'clock', 'experiment', 'gap_voltage_control', 'regulator',
'view', 'xy_scanner', 'spectroscopy'
]
IO.connect()
IO.enable_channel(channel_name)
for obj_name in obj_names:
obj = getattr(mo, obj_name)
print()
print('Object ' + obj_name + ':')
print('--------------------------------------------------------------')
for prop in eval(obj_name + '_props'):
read_prop(obj, prop)
mo.mate.disconnect()
# Pretty the output to make physical sense
xydata = np.flip(xydata, axis=2)
if len(x_direction_strings) != 2:
xydata = xydata[:, 0, :, :]
if len(y_direction_strings) != 2:
xydata = xydata[0, :, :, :]
np.squeeze(xydata)
# Return nicely
if return_filename:
filename = f"{mo.experiment.Result_File_Path()}\\{mo.experiment.Result_File_Name()}--{mo.view.Run_Count()}_{mo.view.Cycle_Count()}.Z_mtrx"
return xydata, filename
else:
return xydata
if __name__ == "__main__":
IO.connect()
set_points_lines(128)
xydata1 = get_xy_scan(channel_name="Z",
x_direction="Forward",
y_direction="Up",
num_lines=1)
plot_xy(xydata1,
view_count,
pixel_scale=mo.xy_scanner.Width() * 1e9 / mo.xy_scanner.Points())
mo.experiment.Result_File_Name()