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1
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import sys
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2
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import os
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3
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import numpy as np
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4
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import synergia
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5
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import numpy as np
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6
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from mpi4py import MPI
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7
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import beamline
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8
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9
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10
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lattice = synergia.lattice.Mad8_reader().get_lattice("bad_line", "bad_lattice.lat")
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11
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12
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for elem in lattice.get_elements():
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13
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elem.set_string_attribute("extractor_type", "chef_mixed")
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14
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15
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macro_particles = 10
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16
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real_particles = 1.0e10
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17
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18
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commxx = synergia.utils.Commxx()
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19
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bunch = synergia.bunch.Bunch(lattice.get_reference_particle(),
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20
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macro_particles, real_particles, commxx)
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21
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22
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bunch_simulator = synergia.simulation.Bunch_simulator(bunch)
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23
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24
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bunch_simulator.add_per_step(synergia.bunch.Diagnostics_basic("basic.h5"))
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25
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bunch_simulator.add_per_step(synergia.bunch.Diagnostics_bulk_track("tracks.h5", macro_particles))
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26
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27
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local_particles = bunch.get_local_particles()
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28
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29
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stepper = synergia.simulation.Independent_stepper_elements(lattice, 1, 1)
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30
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chef_beamline = stepper.get_lattice_simulator().get_chef_lattice().get_sliced_beamline()
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31
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probe = beamline.Proton(lattice.get_reference_particle().get_total_energy())
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32
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print "chef propagate begin: ", probe.State()
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33
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34
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for ce in chef_beamline:
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35
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ce.propagate(probe)
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36
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print "chef propagate end: ", probe.State()
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37
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38
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propagator = synergia.simulation.Propagator(stepper)
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39
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40
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print
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41
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42
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print "bunch particle 0 before synergia propagation: "
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43
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print np.array2string(local_particles[0, 0:6])
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44
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propagator.propagate(bunch_simulator, 10, 1, 1)
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45
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print
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46
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print "bunch particle 0 after synergia propagation: "
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47
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print np.array2string(local_particles[0, 0:6])
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48
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49
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sys.exit(0)
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50
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print
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51
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print "beamline"
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52
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print synergia.lattice.chef_beamline_as_string(chef_beamline)
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