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Quick implementation of progress bar option for the run method #1377

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Quick implementation of progress bar option for the run method #1377

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Quick implementation of progress bar option for the run method
Aug 21, 2024
e99d8d4
Merge branch 'OpenDrift:master' into master
nordam Oct 4, 2024
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11 changes: 9 additions & 2 deletions opendrift/models/basemodel/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1738,7 +1738,8 @@ def run(self,
outfile=None,
export_variables=None,
export_buffer_length=100,
stop_on_error=False):
stop_on_error=False,
progress_bar=False):
"""Start a trajectory simulation, after initial configuration.

Performs the main loop:
Expand Down Expand Up @@ -2009,7 +2010,13 @@ def run(self,
self.timer_end('preparing main loop')
self.timer_start('main loop')
self.memory_usage = np.array([])
for i in range(self.expected_steps_calculation):

if progress_bar:
from tqdm.auto import trange
iterator = trange
else:
iterator = range
for i in iterator(self.expected_steps_calculation):
self.memory_usage = np.append(self.memory_usage, psutil.virtual_memory().used / (1024.0**3))
try:
# Release elements
Expand Down