def test_daily_max_string():
"""Test for TypeError when passing strings"""
from inflammation.models import daily_max
from pytest import raises
with raises(TypeError):
daily_max([['Cannot', 'min'], ['string', 'arguments']])
def main():
"""The MVC Controller of the patient inflammation data system.
The Controller is responsible for:
- selecting the necessary models and views for the current task
- passing data between models and views
"""
parser = argparse.ArgumentParser(
description='A basic patient inflammation data management system')
parser.add_argument(
'infiles',
nargs='+',
help='Input CSV(s) containing inflammation series for each patient')
args = parser.parse_args()
InFiles = args.infiles
if not isinstance(InFiles, list):
InFiles = [args.infiles]
for filename in InFiles:
inflammation_data = models.load_csv(filename)
view_data = {
'average': models.daily_mean(inflammation_data),
'max': models.daily_max(inflammation_data),
'min': models.daily_min(inflammation_data)
}
views.visualize(view_data)
def test_daily_max():
from inflammation.models import daily_max
test_array = np.array([[1, 3, 5],
[3, 4, 1],
[2, 4, 9]])
npt.assert_array_equal(np.array([3, 4, 9]), daily_max(test_array))
def main(args):
"""The MVC Controller of the patient data system.
The Controller is responsible for:
- selecting the necessary models and views for the current task
- passing data between models and views
"""
infiles = args.infiles
if not isinstance(infiles, list):
infiles = [args.infiles]
for filename in infiles:
inflammation_data = models.load_csv(filename)
view_data = {'average': models.daily_mean(inflammation_data),
'max': models.daily_max(inflammation_data),
'min': models.daily_min(inflammation_data)}
views.visualize(view_data)
def test_daily_max(test, expected):
"""Test max function works for zeroes, positive integers, mix of positive/negative integers."""
from inflammation.models import daily_max
npt.assert_array_equal(np.array(expected), daily_max(np.array(test)))
def test_daily_max():
from inflammation.models import daily_max
test_array = np.array([[1, 2], [3, 4], [5, 6]])
npt.assert_array_equal(np.array([5, 6]), daily_max(test_array))
def test_daily_max_integers(test, expected):
"""Test that max function works for an array of positive integers."""
from inflammation.models import daily_max
# Need to use Numpy testing functions to compare arrays
npt.assert_array_equal(np.array(expected), daily_max(np.array(test)))
def test_daily_max(test, expected):
npt.assert_equal(np.array(expected), daily_max(np.array(test)))
def test_daily_max_zeros():
"""Test that mean function works for an array of zeros."""
test_array = np.array([[0, 0], [0, 0], [0, 0]])
# Need to use Numpy testing functions to compare arrays
npt.assert_array_equal(np.array([0, 0]), daily_max(test_array))
def test_daily_max(test, expected):
"""Test mean function works for array of zeroes and positive integers."""
from inflammation.models import daily_max
npt.assert_array_equal(np.array(expected), daily_max(np.array(test)))