import pyvisa import numpy as np """ Utility """ script_dir = "scripts/" scripts = { "buffer_reset": "buffer_reset.lua", "smua_reset": "smua_reset.lua", } for key,val in scripts.items(): scripts[key] = script_dir + scripts[key] def init_keithley(beep_success=True): rm = pyvisa.ResourceManager('@py') resources = rm.list_resources() if len(resources) < 1: raise Exception("No resources found.") elif len(resources) == 1: print(f"Opening Resource {resources[0]}") keithley = rm.open_resource(resources[0]) if beep_success: keithley.write("beeper.beep(0.5, 1000)") return keithley elif len(resources) > 1: print(f"Resources: {resources}") instr = int(input("Select an instrument (0-based index)")) keithley = rm.open_resource(resources[instr]) if beep_success: keithley.write("beeper.beep(0.5, 1000)") return keithley def run_lua(instr, script_path, verbose=False): """ Run a lua script from the host on the instrument @param instr : pyvisa instrument @param script_path : full path to the script """ with open(script_path, "r") as file: script = file.read() if verbose: print(f"Running script: {script_path}") instr.write(script) def reset(instr, verbose=False): """ Reset smua and its buffers @param instr : pyvisa instrument """ run_lua(instr, scripts["smua_reset"], verbose=verbose) run_lua(instr, scripts["buffer_reset"], verbose=verbose) def collect_buffer(instr, buffer_nr=1): """ Get the buffer as 2D - np.array @param instr : pyvisa instrument @param buffer_nr : 1 or 2, for smua.nvbuffer1 or 2 @returns 2D numpy array: i - ith reading: 0: timestamps 1: readings """ if buffer_nr == 2: buffername = "smua.nvbuffer2" else: buffername = "smua.nvbuffer1" # instr.write("format.data = format.DREAL\nformat.byteorder = format.LITTLEENDIAN") # buffer = instr.query_binary_values(f"printbuffer(1, {buffername}.n, {buffername})", datatype='d', container=np.array) instr.write("format.data = format.ASCII\nformat.asciiprecision = 7") timestamps = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.timestamps)", container=np.array) readings = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.readings)", container=np.array) print(f"readings: {readings}, \ntimestamps: {timestamps}") buffer = np.vstack((timestamps, readings)).T return buffer