def setUp(self):
self.estimation_runner = EstimationRunner()
class TestRunEstimation(opus_unittest.TestCase):
def setUp(self):
self.estimation_runner = EstimationRunner()
def tearDown(self):
pass
def test_run_estimation(self):
cache_dir = mkdtemp(prefix='test_washtenaw_run_estimation_tmp')
try:
# Cache to a temporary folder.
ev = (
'%s "%s" --cache-directory="%s" washtenaw.tests.test_run_estimation_config'
%
(sys.executable, create_baseyear_cache_script_path, cache_dir))
logger.log_status("Invoking '%s'" % ev)
return_code = os.system(ev)
if return_code > 0:
raise EnvironmentError(
'Failed while creating the baseyear cache '
'needed to run Washtenaw estimation tests.')
estimation_config = {
'cache_directory':
cache_dir,
'dataset_pool_configuration':
DatasetPoolConfiguration(
package_order=['washtenaw', 'urbansim', 'opus_core'], ),
'datasets_to_cache_after_each_model': [],
'low_memory_mode':
False,
'base_year':
2000,
'years': (2000, 2000),
}
failed = []
succeeded = []
for model_name in [
'lpm',
'hlcm',
'elcm-industrial',
'elcm-commercial',
# 'elcm-home_based', # fails
'dplcm-industrial',
'dplcm-commercial',
'dplcm-residential',
'rlsm',
]:
try:
self.estimation_runner.run_estimation(
estimation_config,
model_name,
save_estimation_results=False)
succeeded.append(model_name)
except:
logger.log_stack_trace()
failed.append(model_name)
if len(succeeded) > 0:
print 'Succeeded in estimating the following models: %s.' % ', '.join(
succeeded)
if len(failed) > 0:
self.fail('Failed to estimate the following models: %s.' %
', '.join(failed))
finally:
if os.path.exists(cache_dir):
rmtree(cache_dir)
class TestRunEstimation(opus_unittest.TestCase):
def setUp(self):
self.estimation_runner = EstimationRunner()
def tearDown(self):
pass
def test_run_estimation(self):
cache_dir = mkdtemp(prefix="test_washtenaw_run_estimation_tmp")
try:
# Cache to a temporary folder.
ev = '%s "%s" --cache-directory="%s" washtenaw.tests.test_run_estimation_config' % (
sys.executable,
create_baseyear_cache_script_path,
cache_dir,
)
logger.log_status("Invoking '%s'" % ev)
return_code = os.system(ev)
if return_code > 0:
raise EnvironmentError(
"Failed while creating the baseyear cache " "needed to run Washtenaw estimation tests."
)
estimation_config = {
"cache_directory": cache_dir,
"dataset_pool_configuration": DatasetPoolConfiguration(
package_order=["washtenaw", "urbansim", "opus_core"]
),
"datasets_to_cache_after_each_model": [],
"low_memory_mode": False,
"base_year": 2000,
"years": (2000, 2000),
}
failed = []
succeeded = []
for model_name in [
"lpm",
"hlcm",
"elcm-industrial",
"elcm-commercial",
# 'elcm-home_based', # fails
"dplcm-industrial",
"dplcm-commercial",
"dplcm-residential",
"rlsm",
]:
try:
self.estimation_runner.run_estimation(estimation_config, model_name, save_estimation_results=False)
succeeded.append(model_name)
except:
logger.log_stack_trace()
failed.append(model_name)
if len(succeeded) > 0:
print "Succeeded in estimating the following models: %s." % ", ".join(succeeded)
if len(failed) > 0:
self.fail("Failed to estimate the following models: %s." % ", ".join(failed))
finally:
if os.path.exists(cache_dir):
rmtree(cache_dir)
def setUp(self):
self.estimation_runner = EstimationRunner()
class TestRunEstimation(opus_unittest.TestCase):
def setUp(self):
self.estimation_runner = EstimationRunner()
def tearDown(self):
pass
def test_run_estimation(self):
cache_dir = mkdtemp(prefix='test_washtenaw_run_estimation_tmp')
try:
# Cache to a temporary folder.
ev = ('%s "%s" --cache-directory="%s" washtenaw.tests.test_run_estimation_config'
% (sys.executable, create_baseyear_cache_script_path, cache_dir))
logger.log_status("Invoking '%s'" % ev)
return_code = os.system(ev)
if return_code > 0:
raise EnvironmentError('Failed while creating the baseyear cache '
'needed to run Washtenaw estimation tests.')
estimation_config = {
'cache_directory' : cache_dir,
'dataset_pool_configuration': DatasetPoolConfiguration(
package_order=['washtenaw', 'urbansim', 'opus_core'],
),
'datasets_to_cache_after_each_model':[],
'low_memory_mode':False,
'base_year': 2000,
'years': (2000,2000),
}
failed = []
succeeded = []
for model_name in [
'lpm',
'hlcm',
'elcm-industrial',
'elcm-commercial',
# 'elcm-home_based', # fails
'dplcm-industrial',
'dplcm-commercial',
'dplcm-residential',
'rlsm',
]:
try:
self.estimation_runner.run_estimation(estimation_config, model_name, save_estimation_results=False)
succeeded.append(model_name)
except:
logger.log_stack_trace()
failed.append(model_name)
if len(succeeded) > 0:
print 'Succeeded in estimating the following models: %s.' % ', '.join(succeeded)
if len(failed) > 0:
self.fail('Failed to estimate the following models: %s.' % ', '.join(failed))
finally:
if os.path.exists(cache_dir):
rmtree(cache_dir)
