def test_daily_mean_integers():
"""Test that mean function works for an array of positive integers."""
test_array = np.array([[1, 2], [3, 4], [5, 6]])
# Need to use Numpy testing functions to compare arrays
npt.assert_array_equal(np.array([3, 4]), daily_mean(test_array))
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_main_integers():
"""Test that mean function works for an array of positive integers"""
from inflammation.models import daily_mean
test_array = np.array([[1, 2], [3, 4], [5, 6]])
npt.assert_array_equal(np.array([3, 4]), daily_mean(test_array))
def test_daily_mean_zeros():
"""Test that mean function works for an array of zeros."""
from inflammation.models import daily_mean
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_mean(test_array))
def test_daily_mean_integers():
"""Test that mean function works for an array of positive integers."""
from inflammation.models import daily_mean
test_input = np.array([[1, 2], [3, 4], [5, 6]])
test_result = np.array([3, 4])
# Need to use Numpy testing functions to compare arrays
npt.assert_array_equal(daily_mean(test_input), test_result)
def test_daily_mean_zeros():
"""Test that mean function works for an array of zeros."""
from inflammation.models import daily_mean
# NB: the comment 'yapf: disable' disables automatic formatting using
# a tool called 'yapf' which we have used when creating this project
test_array = np.array([[0, 0],
[0, 0],
[0, 0]]) # yapf: disable
# Need to use Numpy testing functions to compare arrays
npt.assert_array_equal(np.array([0, 0]), daily_mean(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)
from inflammation.models import daily_mean import numpy as np assert np.array_equal(np.array([2, 0]), daily_mean(np.array([[2, 0], [4, 0]]))) assert np.array_equal(np.array([0,0]), daily_mean(np.array([[0,0],[0,0]]))) assert np.array_equal(np.array([3, 4]), daily_mean(np.array([[1, 2], [3, 4], [5, 6]])))
def test_mean_bool():
assert daily_mean([True, True, True, False]) == 0.75
def test_daily_mean(test, expected):
"""Test mean function works for array of zeroes and positive integers."""
npt.assert_array_equal(np.array(expected), daily_mean(np.array(test)))
def test_daily_mean(test, expected):
"""Test mean function works for array of zeroes and positive integers."""
from inflammation.models import daily_mean
npt.assert_array_equal(np.array(expected), daily_mean(np.array(test)))
