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Update channel inversion example #366

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merged 2 commits into from
Jun 10, 2024
Merged

Update channel inversion example #366

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1fdc2b5
Update channel inversion example
cpjordan Jun 7, 2024
576f2a0
Import VTKFile at top level
cpjordan Jun 7, 2024
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5 changes: 4 additions & 1 deletion examples/channel_inversion/Makefile
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
all: invert plot

CONTROLS = Bathymetry Manning InitialElev
STATIONS = stationA stationB stationC stationD stationE

invert:
for controls in $(CONTROLS); do \
Expand All @@ -9,7 +10,9 @@ invert:

plot:
for controls in $(CONTROLS); do \
python3 plot_elevation_progress.py -c $$controls
for station in $(STATIONS); do \
python3 plot_elevation_progress.py -c $$controls -s $$station; \
done; \
done

clean:
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3 changes: 2 additions & 1 deletion examples/channel_inversion/inverse_problem.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
from thetis import *
import firedrake as fd
from firedrake.adjoint import *
import numpy
import thetis.inversion_tools as inversion_tools
Expand Down Expand Up @@ -133,4 +134,4 @@
oc.rename(name)
print_function_value_range(oc, prefix='Optimal')
if not no_exports:
VTKFile(f'{options.output_directory}/{name}_optimised.pvd').write(oc)
fd.VTKFile(f'{options.output_directory}/{name}_optimised.pvd').write(oc)
7 changes: 4 additions & 3 deletions examples/channel_inversion/plot_elevation_progress.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
import matplotlib
import matplotlib.pyplot as plt
import argparse
from collections import Iterable
from collections.abc import Iterable

matplotlib.rc('font', size=10)

Expand All @@ -26,7 +26,7 @@

ctrl_str = '-'.join(controls)
station_str = '-'.join(station_names)
inv_dir = f'outputs_{ctrl_str}-opt'
inv_dir = f'outputs_new_{ctrl_str}-opt'

nplots = len(station_names)

Expand All @@ -45,14 +45,15 @@

g = f'{inv_dir}/diagnostic_timeseries_progress_{sta}_elev.hdf5'
with h5py.File(g, 'r') as h5file:
iter_times = h5file['time'][:].flatten()
iter_vals = h5file['elev'][:]

niter = iter_vals.shape[0] - 1

ax = next(ax_iter)
ax.plot(time, vals, 'k:', zorder=3, label='observation', lw=1.3)
for i, v in enumerate(iter_vals):
ax.plot(time, v, label=f'iteration {i}', lw=0.5)
ax.plot(iter_times, v, label=f'iteration {i}', lw=0.5)
ax.set_title(f'{sta}', size='small')
ax.set_ylabel('Elevation (m)')
ax.grid(True)
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