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mbd
psimpy
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2d8bb80d
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2d8bb80d
authored
Apr 3, 2023
by
Hu Zhao
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docs: add example of running Ravaflow24Mixture using RunSimulator
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docs/examples/simulator/plot_run_ravaflow24.py
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"""
RunSimulator: Ravaflow24 Mixture Model
======================================
"""
# %% md
#
# This example shows how to run multiple Ravaflow24Mixture simulations in serial
# and parallelly using :class:`.RunSimulator`.
#
# %% md
#
# First, we import the class :class:`.Ravaflow24Mixture`.
from
psimpy.simulator
import
Ravaflow24Mixture
# %% md
#
# To create an instance of this class, we must specify the parameter ``dir_sim``.
# It represents the directory in which output files generated by r.avaflow will be
# saved.
import
os
# Here we create a folder called `temp1_run_Ravaflow24Mixture_example` to save
# output files generated by r.avaflow
cwd
=
os
.
getcwd
()
if
not
os
.
path
.
exists
(
'
temp1_run_Ravaflow24Mixture_example
'
):
os
.
mkdir
(
'
temp1_run_Ravaflow24Mixture_example
'
)
dir_sim
=
os
.
path
.
join
(
cwd
,
'
temp1_run_Ravaflow24Mixture_example
'
)
# %% md
#
# Now, we can create an instance of :class:`.Ravaflow24Mixture` by given
# ``dir_sim``. To reduce simulation time, we set ``time_end`` to :math:`50`.
# Other parameters are set to their default values.
voellmy_model
=
Ravaflow24Mixture
(
dir_sim
,
time_end
=
50
)
# %% md
#
# In this example, we define a `simulator` that takes required inputs and returns
# the overall impact area based on ``voellmy_model``.
import
numpy
as
np
def
simulator
(
prefix
,
elevation
,
hrelease
,
basal_friction
,
turbulent_friction
,
EPSG
):
"""
Preprocess required inputs, run simulation, and return output as a numpy array.
"""
grass_location
,
sh_file
=
voellmy_model
.
preprocess
(
prefix
=
prefix
,
elevation
=
elevation
,
hrelease
=
hrelease
,
basal_friction
=
basal_friction
,
turbulent_friction
=
turbulent_friction
,
EPSG
=
EPSG
)
voellmy_model
.
run
(
grass_location
,
sh_file
)
# running this line, r.avaflow will write outputs to dir_sim
impact_area
=
voellmy_model
.
extract_impact_area
(
prefix
)
return
np
.
array
([
impact_area
])
# define dir_out and set save_out to True, returned numpy array will be saved to dir_out
# %% md
#
# We are going to run multiple simulations at different values of ``basal_friction``
# and ``turbulent_friction``.
import
itertools
var_inp_parameter
=
[
'
basal_friction
'
,
'
turbulent_friction
'
]
basal_friction
=
[
20
,
30
]
turbulent_friction
=
[
3
,
4
]
var_samples
=
np
.
array
(
[
x
for
x
in
itertools
.
product
(
basal_friction
,
turbulent_friction
)])
# %% md
#
# Other parameters are fixed.
dir_data
=
os
.
path
.
abspath
(
'
../../../tests/data/
'
)
elevation
=
os
.
path
.
join
(
dir_data
,
'
synthetic_topo.tif
'
)
hrelease
=
os
.
path
.
join
(
dir_data
,
'
synthetic_rel.tif
'
)
fix_inp
=
{
'
elevation
'
:
elevation
,
'
hrelease
'
:
hrelease
,
'
EPSG
'
:
'
2326
'
}
# %% md
#
# The parameter ``prefix`` of the `simulator` is special. It is not involved in
# the computational model, but only used to name output files generated by r.avaflow.
# Usually, we need a unique value of ``prefix`` for each simulation to avoid conflict.
# Such parameter is not defined in ``var_inp_parameter`` or ``fix_inp`` of
# :class:`.RunSimulator`. Instead, we use a seperate parameter, called ``o_parameter``
# for this purpose.
o_parameter
=
'
prefix
'
# %% md
#
# We may want to save outputs returned by `simulator` at each simulation for
# later inspection or processing. In that case, we need to define ``dir_out`` and
# set ``save_out`` as `True`.
import
os
# Here we create a folder called `temp2_run_Ravaflow24Mixture_example` to save outputs
# returned at each simulation.
cwd
=
os
.
getcwd
()
if
not
os
.
path
.
exists
(
'
temp2_run_Ravaflow24Mixture_example
'
):
os
.
mkdir
(
'
temp2_run_Ravaflow24Mixture_example
'
)
dir_out
=
os
.
path
.
join
(
cwd
,
'
temp2_run_Ravaflow24Mixture_example
'
)
# %% md
#
# .. warning:: ``dir_sim`` and ``dir_out`` are two different directories for
# different purposes. ``dir_sim`` stores outputs generated by the function body
# of `simulator`, usually a third-party software or solver (here r.avaflow).
# ``dir_out`` stores returned numpy array of `simulator`, which include outputs
# of interest (here impact area). They can be the same directory if file names
# have no conflict. We recommend to keep them seperate. In addition, if the function
# body of `simulator` does not save files to disk, ``dir_sim`` is not needed. Our
# :class:`.MassPointModel` is an example. Similarly, if we do not want to save
# returned numpy array of `simulator`, ``dir_out`` is not needed.
# %% md
#
# Now we can define an object of :class:`.RunSimulator` by
from
psimpy.simulator
import
RunSimulator
run_simulator
=
RunSimulator
(
simulator
,
var_inp_parameter
,
fix_inp
,
o_parameter
,
dir_out
,
save_out
=
True
)
# %% md
#
# Define prefixes which will be used to name files generated by each r.avaflow
# simulation and each returned numpy array of `simulator`.
serial_prefixes
=
[
"
serial
"
+
str
(
i
)
for
i
in
range
(
len
(
var_samples
))]
parallel_prefixes
=
[
"
parallel
"
+
str
(
i
)
for
i
in
range
(
len
(
var_samples
))]
import
time
start
=
time
.
time
()
run_simulator
.
serial_run
(
var_samples
=
var_samples
,
prefixes
=
serial_prefixes
)
serial_time
=
time
.
time
()
-
start
serial_output
=
run_simulator
.
outputs
print
(
f
"
serial_output:
{
serial_output
}
"
)
start
=
time
.
time
()
run_simulator
.
parallel_run
(
var_samples
,
prefixes
=
parallel_prefixes
,
max_workers
=
2
,
append
=
True
)
parallel_time
=
time
.
time
()
-
start
parallel_output
=
run_simulator
.
outputs
[
len
(
var_samples
):]
print
(
f
"
parallel_output:
{
parallel_output
}
"
)
print
(
"
Serial run time:
"
,
serial_time
)
print
(
"
Parallel run time:
"
,
parallel_time
)
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