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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def export_3_column(stimfunction, filename, temporal_resolution=100.0 ):
 """ Output a tab separated three column timing file This produces a three column tab separated text file, with the three columns representing onset time (s), event duration (s) and weight, respectively. Useful if you want to run the simulated data through FEAT analyses. In a way, this is the reverse of generate_stimfunction Parameters stimfunction : timepoint by 1 array The stimulus function describing the time course of events. For instance output from generate_stimfunction. filename : str The name of the three column text file to be output temporal_resolution : float How many elements per second are you modeling with the stimfunction? """


    # Iterate through the stim function
    stim_counter = 0
    event_counter = 0
    while stim_counter < stimfunction.shape[0]:

        # Is it an event?
        if stimfunction[stim_counter, 0] != 0:

            # When did the event start?
            event_onset = str(stim_counter / temporal_resolution)

            # The weight of the stimulus
            weight = str(stimfunction[stim_counter, 0])

            # Reset
            event_duration = 0

            # Is the event still ongoing?
            while stimfunction[stim_counter, 0] != 0 & stim_counter <= \
                    stimfunction.shape[0]:

                # Add one millisecond to each duration
                event_duration = event_duration + 1

                # Increment
                stim_counter = stim_counter + 1

            # How long was the event in seconds
            event_duration = str(event_duration / temporal_resolution)

            # Append this row to the data file
            with open(filename, "a") as file:
                file.write(event_onset + '\t' + event_duration + '\t' +
                           weight + '\n')

            # Increment the number of events
            event_counter = event_counter + 1

        # Increment
        stim_counter = stim_counter + 1