def test_daily_min_string():
"""Test for TypeError when passing strings"""
from inflammation.models import daily_min
from pytest import raises
with raises(TypeError):
daily_min([['Doesnt', 'work'], ['with', 'strings']])
def test_daily_min_string():
"""Test for TypeError when passing strings"""
from inflammation.models import daily_min
from pytest import raises
with raises(TypeError):
daily_min([['Cannot', 'average'], ['string', 'arguments']])
def test_daily_min_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([1, 2]), daily_min(test_array))
def test_daily_min_not_rectangular():
"""Test for TypeError when passing strings"""
from pytest import raises
test_array = np.array([[1, 2], [3, 4], [5, 'test']])
with raises(TypeError):
npt.assert_array_equal(np.array([1, 2]), daily_min(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_min():
from inflammation.models import daily_min
test_array = np.array([[1, 3, 5],
[3, 4, 1],
[2, 4, 9]])
npt.assert_array_equal(np.array([1, 3, 1]), daily_min(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_min():
from inflammation.models import daily_min
test_array = np.array([[1, 2], [3, 4], [5, 6]])
npt.assert_array_equal(np.array([1, 2]), daily_min(test_array))
def test_daily_min_noarg():
"""Test for TypeError when passing no arguments"""
from inflammation.models import daily_min
from pytest import raises
with raises(TypeError):
daily_min()
def test_min_bool():
assert daily_min([True, True, True, False]) == 0
def test_daily_min_too_many_inputs():
test_array = np.array([[1, 2], [3, 4], [5, 6]])
# if there is a typeError anywhere in this indented block (with is a context manager)
with raises(TypeError):
daily_min(test_array, test_array)
def test_daily_min_string():
# if there is a typeError anywhere in this indented block (with is a context manager)
with raises(TypeError):
daily_min([['Cannot', 'min'], ['string', 'arguments']])
def test_daily_min(test, expected):
npt.assert_equal(np.array(expected), daily_min(np.array(test)))
def test_bool():
from inflammation.models import daily_min
assert daily_min([True, True, False]) == 0
def test_daily_min(test, expected):
"""Test mean function works for array of zeroes and positive integers."""
from inflammation.models import daily_min
npt.assert_array_equal(np.array(expected), daily_min(np.array(test)))
def test_daily_min_none():
"""Test for TypeError when passing strings"""
from pytest import raises
with raises(TypeError):
daily_min([[None, None], [None, None]])
def test_daily_min_string():
"""Test for TypeError when passing strings"""
from pytest import raises
with raises(TypeError):
daily_min([['Cannot', 'min'], ['string', 'arguments']])
def test_daily_min(test, expected):
"""Test min function works for zeroes, positive integers, mix of positive/negative integers."""
from inflammation.models import daily_min
npt.assert_array_equal(np.array(expected), daily_min(np.array(test)))
def test_daily_min_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_min(test_array))
