Add initial test cases for daily_max() and daily_min()

Author: martenj

requirements.txt

@@ -1,11 +1,37 @@
+astroid==3.3.10
+asttokens==3.0.0
 contourpy==1.3.2
 cycler==0.12.1
+decorator==5.2.1
+dill==0.4.0
+executing==2.2.0
 fonttools==4.58.5
+iniconfig==2.1.0
+ipython==9.4.0
+ipython_pygments_lexers==1.1.1
+isort==6.0.1
+jedi==0.19.2
 kiwisolver==1.4.8
 matplotlib==3.10.3
+matplotlib-inline==0.1.7
+mccabe==0.7.0
 numpy==2.3.1
 packaging==25.0
+parso==0.8.4
+pexpect==4.9.0
 pillow==11.3.0
+platformdirs==4.3.8
+pluggy==1.6.0
+prompt_toolkit==3.0.51
+ptyprocess==0.7.0
+pure_eval==0.2.3
+Pygments==2.19.2
+pylint==3.3.7
 pyparsing==3.2.3
+pytest==8.4.1
 python-dateutil==2.9.0.post0
 six==1.17.0
+stack-data==0.6.3
+tomlkit==0.13.3
+traitlets==5.14.3
+wcwidth==0.2.13

tests/test_models.py

@@ -2,13 +2,14 @@
 
 import numpy as np
 import numpy.testing as npt
+import pytest
+
+from inflammation.models import daily_mean, daily_max, daily_min
 
-from inflammation.models import daily_mean
 
 def test_daily_mean_zeros():
     """Test that mean function works for an array of zeros."""
 
-
     test_input = np.array([[0, 0],
                            [0, 0],
                            [0, 0]])
@@ -29,3 +30,57 @@ def test_daily_mean_integers():
     # Need to use Numpy testing functions to compare arrays
     npt.assert_array_equal(daily_mean(test_input), test_result)
 
+
+def test_daily_max_integers():
+    """Test that max function works for an array of positive integers."""
+
+    test_input = np.array([[1, 2],
+                           [3, 4],
+                           [5, 6]])
+    test_result = np.array([5, 6])
+
+    # Need to use Numpy testing functions to compare arrays
+    npt.assert_array_equal(daily_max(test_input), test_result)  # This should be daily_max
+
+
+def test_daily_max_zeros():
+    """Test that min function works for an array of zeros."""
+
+    test_input = np.array([[0, 0],
+                           [0, 0],
+                           [0, 0]])
+    test_result = np.array([0, 0])
+
+    # Need to use Numpy testing functions to compare arrays
+    npt.assert_array_equal(daily_max(test_input), test_result)  # This should be daily_min
+
+
+def test_daily_min_integers():
+    """Test that min function works for an array of positive integers."""
+
+    test_input = np.array([[1, 2],
+                           [3, 4],
+                           [5, 6]])
+    test_result = np.array([1, 2])
+
+    # Need to use Numpy testing functions to compare arrays
+    npt.assert_array_equal(daily_min(test_input), test_result)  # This should be daily_min
+
+
+def test_daily_min_zeros():
+    """Test that min function works for an array of zeros."""
+
+    test_input = np.array([[0, 0],
+                           [0, 0],
+                           [0, 0]])
+    test_result = np.array([0, 0])
+
+    # Need to use Numpy testing functions to compare arrays
+    npt.assert_array_equal(daily_min(test_input), test_result)  # This should be daily_min
+
+
+def test_daily_min_string():
+    """Test for TypeError when passing strings"""
+
+    with pytest.raises(TypeError):
+        error_expected = daily_min([['Hello', 'there'], ['General', 'Kenobi']])