def test_dirac_migration(self):
from locations_trigger import trigger_locations_inner
from filters import smooth
wo = WavelocOptions()
wo.set_test_options()
wo.opdict['outdir'] = 'TEST_Dirac'
wo.opdict['search_grid'] = 'grid.Taisne.search.hdr'
wo.opdict['loclevel'] = 10
wo.opdict[
'load_ttimes_buf'] = True # Optimized in time, but you must be usre you're reading the right grid for the test
wo.opdict['syn_addnoise'] = False
wo.opdict['syn_amplitude'] = 1.0
wo.opdict['syn_datalength'] = 20.0
wo.opdict['syn_samplefreq'] = 100.0
wo.opdict['syn_kwidth'] = 0.1
wo.opdict['syn_otime'] = 6.0
wo.opdict['syn_ix'] = 16
wo.opdict['syn_iy'] = 8
wo.opdict['syn_iz'] = 6
wo.opdict['syn_filename'] = 'test_grid4D_hires.hdf5'
wo.verify_migration_options()
wo.verify_location_options()
wo.verify_synthetic_options()
##########################
# generate the test case and retrieve necessary information
##########################
logging.info('Running synthetic test case generation...')
test_info = generateSyntheticDirac(wo.opdict)
logging.debug(test_info)
# retrieve info
grid_filename = test_info['dat_file']
stack_filename = test_info['stack_file']
nx, ny, nz, nt = test_info['grid_shape']
dx, dy, dz, dt = test_info['grid_spacing']
x_orig, y_orig, z_orig = test_info['grid_orig']
ix_true, iy_true, iz_true, it_true = test_info['true_indexes']
stack_start_time = test_info['start_time']
# plot base filename
base_path = wo.opdict['base_path']
outdir = wo.opdict['outdir']
# loclevel for triggers
loclevel = wo.opdict['loclevel']
# set up x, y, z, t arrays
x = np.arange(nx) * dx
y = np.arange(ny) * dy
z = np.arange(nz) * dz
t = np.arange(nt) * dt + stack_start_time
# extract the max stacks
f_stack = h5py.File(stack_filename, 'r')
max_val = f_stack['max_val']
max_x = f_stack['max_x']
max_y = f_stack['max_y']
max_z = f_stack['max_z']
locs = trigger_locations_inner(max_val, max_x, max_y, max_z, loclevel,
loclevel, stack_start_time, dt)
self.assertTrue(len(locs) > 0)
#print locs
# This is a dirac test, so only have one element in locs
imax = np.argmax([loc['max_trig'] for loc in locs])
trig_loc = locs[imax]
self.assertAlmostEqual(wo.opdict['syn_otime'], trig_loc['o_time'], 2)
self.assertAlmostEqual(wo.opdict['syn_ix'] * dx + x_orig,
trig_loc['x_mean'])
self.assertAlmostEqual(wo.opdict['syn_iy'] * dy + y_orig,
trig_loc['y_mean'])
self.assertAlmostEqual(wo.opdict['syn_iz'] * dz + z_orig,
trig_loc['z_mean'])
f_stack.close()
events['ev5'] = event5ll
base_path = os.getenv('WAVELOC_PATH')
figdir = os.path.join(base_path, 'out', wo.opdict['outdir'], 'fig')
griddir = os.path.join(base_path, 'out', wo.opdict['outdir'], 'grid')
# compute all grids
for evname, ev in events.iteritems():
for dep in depths:
x, y = latlon2rect('TRANS_SIMPLE', ev[0], ev[1], proj_info)
wo.opdict['syn_ix'] = int(
round((x - dummy_grid.x_orig) / dummy_grid.dx))
wo.opdict['syn_iy'] = int(
round((y - dummy_grid.y_orig) / dummy_grid.dy))
wo.opdict['syn_iz'] = int(
round((dep - dummy_grid.z_orig) / dummy_grid.dz))
wo.opdict['syn_filename'] = 'test_emilia_%s_%.1f.dat' % (evname, dep)
# No noise test
wo.verify_synthetic_options()
if recalc_grids:
test_info = generateSyntheticDirac(wo.opdict, time_grid)
# make all figures
info_files = glob.glob(os.path.join(griddir, '*.info'))
for info_file in info_files:
f = open(info_file, 'r')
test_info = eval(f.read())
logging.info(test_info)
plotDiracTest(test_info, figdir)
wo.opdict['syn_kwidth'] = 0.1 wo.opdict['syn_otime'] = 6.0 wo.opdict['syn_ix'] = 16 wo.opdict['syn_iy'] = 8 wo.opdict['syn_iz'] = 6 wo.opdict['syn_addnoise'] = False wo.opdict['syn_filename'] = 'test_grid4D_hires.dat' figdir = os.path.join(base_path, 'out', wo.opdict['outdir'], 'fig') wo.verify_migration_options() wo.verify_location_options() wo.verify_synthetic_options() # No noise test test_info = generateSyntheticDirac(wo.opdict) test_info['grid_orig'] = (0, 0, -2.5) plotDiracTest(test_info, figdir) # Do noise tests wo.opdict['outdir'] = 'TEST_DiracNoisy' wo.opdict['syn_addnoise'] = True figdir = os.path.join(base_path, 'out', wo.opdict['outdir'], 'fig') wo.opdict['syn_snr'] = 3.0 wo.opdict['syn_filename'] = 'test_grid4D_hires_snr_3.0.dat' test_info = generateSyntheticDirac(wo.opdict) test_info['grid_orig'] = (0, 0, -2.5) plotDiracTest(test_info, figdir)
events['ev2']=event2ll
events['ev3']=event3ll
events['ev4']=event4ll
events['ev5']=event5ll
base_path=os.getenv('WAVELOC_PATH')
figdir=os.path.join(base_path,'out',wo.opdict['outdir'],'fig')
griddir=os.path.join(base_path,'out',wo.opdict['outdir'],'grid')
# compute all grids
for evname,ev in events.iteritems():
for dep in depths:
x,y=latlon2rect('TRANS_SIMPLE',ev[0],ev[1],proj_info)
wo.opdict['syn_ix']=int(round((x-dummy_grid.x_orig)/dummy_grid.dx))
wo.opdict['syn_iy']=int(round((y-dummy_grid.y_orig)/dummy_grid.dy))
wo.opdict['syn_iz']=int(round((dep-dummy_grid.z_orig)/dummy_grid.dz))
wo.opdict['syn_filename']='test_emilia_%s_%.1f.dat'%(evname,dep)
# No noise test
wo.verify_synthetic_options()
if recalc_grids : test_info=generateSyntheticDirac(wo.opdict,time_grid)
# make all figures
info_files=glob.glob(os.path.join(griddir,'*.info'))
for info_file in info_files:
f=open(info_file,'r')
test_info=eval(f.read())
logging.info(test_info)
plotDiracTest(test_info,figdir)
def test_dirac_migration(self):
from locations_trigger import trigger_locations_inner
from filters import smooth
wo=WavelocOptions()
wo.set_test_options()
wo.opdict['outdir'] = 'TEST_Dirac'
wo.opdict['search_grid']='grid.Taisne.search.hdr'
wo.opdict['loclevel'] = 10
wo.opdict['load_ttimes_buf'] = True # Optimized in time, but you must be usre you're reading the right grid for the test
wo.opdict['syn_addnoise']=False
wo.opdict['syn_amplitude']=1.0
wo.opdict['syn_datalength']=20.0
wo.opdict['syn_samplefreq']=100.0
wo.opdict['syn_kwidth']=0.1
wo.opdict['syn_otime']=6.0
wo.opdict['syn_ix']=16
wo.opdict['syn_iy']=8
wo.opdict['syn_iz']=6
wo.opdict['syn_filename']='test_grid4D_hires.hdf5'
wo.verify_migration_options()
wo.verify_location_options()
wo.verify_synthetic_options()
##########################
# generate the test case and retrieve necessary information
##########################
logging.info('Running synthetic test case generation...')
test_info=generateSyntheticDirac(wo.opdict)
logging.debug(test_info)
# retrieve info
grid_filename=test_info['dat_file']
stack_filename=test_info['stack_file']
nx,ny,nz,nt=test_info['grid_shape']
dx,dy,dz,dt=test_info['grid_spacing']
x_orig,y_orig,z_orig=test_info['grid_orig']
ix_true,iy_true,iz_true,it_true=test_info['true_indexes']
stack_start_time=test_info['start_time']
# plot base filename
base_path=wo.opdict['base_path']
outdir=wo.opdict['outdir']
# loclevel for triggers
loclevel=wo.opdict['loclevel']
# set up x, y, z, t arrays
x=np.arange(nx)*dx
y=np.arange(ny)*dy
z=np.arange(nz)*dz
t=np.arange(nt)*dt+stack_start_time
# extract the max stacks
f_stack=h5py.File(stack_filename,'r')
max_val=f_stack['max_val']
max_x=f_stack['max_x']
max_y=f_stack['max_y']
max_z=f_stack['max_z']
locs=trigger_locations_inner(max_val,max_x,max_y,max_z,loclevel,loclevel,stack_start_time,dt)
self.assertTrue(len(locs)>0)
#print locs
# This is a dirac test, so only have one element in locs
imax=np.argmax([loc['max_trig'] for loc in locs])
trig_loc=locs[imax]
self.assertAlmostEqual(wo.opdict['syn_otime'],trig_loc['o_time'],2)
self.assertAlmostEqual(wo.opdict['syn_ix']*dx+x_orig,trig_loc['x_mean'])
self.assertAlmostEqual(wo.opdict['syn_iy']*dy+y_orig,trig_loc['y_mean'])
self.assertAlmostEqual(wo.opdict['syn_iz']*dz+z_orig,trig_loc['z_mean'])
f_stack.close()
wo.opdict["syn_kwidth"] = 0.1 wo.opdict["syn_otime"] = 6.0 wo.opdict["syn_ix"] = 16 wo.opdict["syn_iy"] = 8 wo.opdict["syn_iz"] = 6 wo.opdict["syn_addnoise"] = False wo.opdict["syn_filename"] = "test_grid4D_hires.dat" figdir = os.path.join(base_path, "out", wo.opdict["outdir"], "fig") wo.verify_migration_options() wo.verify_location_options() wo.verify_synthetic_options() # No noise test test_info = generateSyntheticDirac(wo.opdict) test_info["grid_orig"] = (0, 0, -2.5) plotDiracTest(test_info, figdir) # Do noise tests wo.opdict["outdir"] = "TEST_DiracNoisy" wo.opdict["syn_addnoise"] = True figdir = os.path.join(base_path, "out", wo.opdict["outdir"], "fig") wo.opdict["syn_snr"] = 3.0 wo.opdict["syn_filename"] = "test_grid4D_hires_snr_3.0.dat" test_info = generateSyntheticDirac(wo.opdict) test_info["grid_orig"] = (0, 0, -2.5) plotDiracTest(test_info, figdir)
