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import psana
from xtcav2.LasingOnCharacterization import *
import numpy as np

from matplotlib import pyplot as plt

data_source = psana.DataSource("exp=amox23616:run=74")
XTCAVRetrieval = LasingOnCharacterization()

for evt in data_source.events():

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"""
This rather nasty little script was copied from the CCTBX release and
modified to work.

I swapped the event code fetching to work with psana.SmallData's most
recent EVR format, and also replaced the filter on event code 92 
(which had been employed with the HV pulse generator) with event code
90, which is the THz laser trigger.

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"""
convert HDF5 files with images into sorted on/off TIFF sets
"""

import sys
import os
import struct
import h5py
import numpy as np

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#!/usr/bin/env python

import psana
import numpy as np
from skimage import measure
from scipy import signal
from ttanalyzer import TTAnalyzer

def relative_time(edge_position):
    """

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#!/usr/bin/env python

"""
Creates an hdf5 file with the photon histograms and the average image 
for one of the epix detectors and for a given number of shots

TJL Change Log 3/14/17
----------------------
1. Made "good shots" a per-event data
2. Used smldata.sum() to make sure the summed image is computed using MPI