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[modflowpy/flopy] update(ModflowHob): Improve HOB file performance #1158 (#1224) #1225

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merged 4 commits into from
Sep 7, 2021
Merged

[modflowpy/flopy] update(ModflowHob): Improve HOB file performance #1158 (#1224) #1225

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31a345f
ModflowHob performance
hzhang4 Sep 2, 2021
b2a4a18
ModflowHob Performance
swfwmd Sep 2, 2021
65d19f5
Merge branch 'modflowpy:develop' into swfwmd
swfwmd Sep 3, 2021
1b6311e
[modflowpy/flopy] update(ModflowHob): Improve HOB file performance
swfwmd Sep 7, 2021
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16 changes: 7 additions & 9 deletions flopy/modflow/mfhob.py
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Original file line number Diff line number Diff line change
Expand Up @@ -371,7 +371,8 @@ def load(cls, f, model, ext_unit_dict=None, check=True):
nobs = 0

# set to False for 1st call to ensure that totim cache is updated
use_cached_totim = False
tmax = model.dis.get_final_totim()
use_cached_totim = True

while True:
# read dataset 3
Expand Down Expand Up @@ -431,7 +432,6 @@ def load(cls, f, model, ext_unit_dict=None, check=True):
names = [obsnam]
tsd = [totim, hob]
nobs += 1
use_cached_totim = True
else:
names = []
tsd = []
Expand All @@ -452,7 +452,6 @@ def load(cls, f, model, ext_unit_dict=None, check=True):
hob = float(t[3])
tsd.append([totim, hob])
nobs += 1
use_cached_totim = True

obs_data.append(
HeadObservation(
Expand All @@ -466,6 +465,7 @@ def load(cls, f, model, ext_unit_dict=None, check=True):
obsname=obsnam,
mlay=mlay,
itt=itt,
tmax=tmax,
time_series_data=tsd,
names=names,
)
Expand Down Expand Up @@ -588,6 +588,7 @@ def __init__(
roff=0.0,
coff=0.0,
itt=1,
tmax=None,
mlay=None,
time_series_data=None,
names=None,
Expand Down Expand Up @@ -645,7 +646,8 @@ def __init__(
time_series_data = np.reshape(time_series_data, (1, 2))

# find indices of time series data that are valid
tmax = model.dis.get_final_totim()
if tmax is None:
tmax = model.dis.get_final_totim()
keep_idx = time_series_data[:, 0] <= tmax
time_series_data = time_series_data[keep_idx, :]

Expand Down Expand Up @@ -677,22 +679,18 @@ def __init__(
"{} names are required.".format(len(names), self.nobs)
)

# set use_cached_totim to False first to ensure totim is updated
use_cached_totim = False

# create time_series_data
self.time_series_data = self._get_empty(ncells=shape[0])
for idx in range(self.nobs):
t = time_series_data[idx, 0]
kstp, kper, toffset = model.dis.get_kstp_kper_toffset(
t, use_cached_totim
t, use_cached_totim=True
)
self.time_series_data[idx]["totim"] = t
self.time_series_data[idx]["irefsp"] = kper
self.time_series_data[idx]["toffset"] = toffset / tomulth
self.time_series_data[idx]["hobs"] = time_series_data[idx, 1]
self.time_series_data[idx]["obsname"] = names[idx]
use_cached_totim = True

if self.nobs > 1:
self.irefsp = -self.nobs
Expand Down