EPyT 1.0.9-beta.4

.github/workflows/build_tests.yml

@@ -30,4 +30,4 @@ jobs:
           flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
       - name: Test with pytest
         run: |
-          pytest
+          pytest -v

README.md

@@ -518,6 +518,7 @@ If you want to contribute, please check out our [Code of Conduct](https://github
 |<b> MSX Functions </b>
 |loadMSXFile|Opens the EPANET-MSX toolkit system|
 |unloadMSX|Closes the EPANET-MSX toolkit system|
+|addMSXPattern|Adds a new, empty MSX source time pattern to the project|
 |initializeMSXQualityAnalysis|Initializes the MSX system before solving for water quality results in step-wise fashion|
 |stepMSXQualityAnalysisTimeLeft|Advances the water quality solution through a single water quality time step when performing a step-wise simulation|
 |saveMSXFile|Saves the data associated with the current MSX project into a new MSX input file|
@@ -584,6 +585,8 @@ If you want to contribute, please check out our [Code of Conduct](https://github
 |setMSXTimeStep|Sets time step|
 |setMSXPatternValue|Assigns a new value to the multiplier for a specific time period in a given MSX source time pattern|
 |setMSXPattern|Sets all of the multiplier factors for a specific time pattern|
+|setMSXParametersPipesValue|Assigns a value to a particular reaction parameter for given pipes|
+|setMSXParametersTanksValue|Assigns a value to a particular reaction parameter for given tanks|
 |setMSXConstantsValue|Assigns a new value to a specific reaction constant|
 |useMSXHydraulicFile|Uses a previously saved EPANET hydraulics file as the source of hydraulic information|
 

epyt/__init__.py

@@ -1,7 +1,8 @@
 # -*- coding: utf-8 -*-
 __author__ = """Marios S. Kyriakou"""
 __email__ = "[email protected]"
-__version__ = "1.0.9-beta.2"
+__version__ = "1.0.9-beta.4"
+__msxversion__ = "2.0.0"
 __copyright__ = """Copyright 2022, KIOS Research and Innovation Center of Excellence (KIOS CoE), 
 University of Cyprus (www.kios.org.cy)."""
 __license__ = "EUPL License, Version 1.2"

epyt/tests/net1_unit_test.py

@@ -191,7 +191,7 @@ def testStepByStepAnalysis(self):
              9.452347598503036e-07, 9.28221894076609e-07, 9.084721628771827e-07, 2.416368471024177,
              2.4073945733540967,
              2.3857323225219194])
-        np.testing.assert_array_almost_equal(velocity, v_desired, err_msg="Wrong Velocity output")
+        np.testing.assert_array_almost_equal(velocity, v_desired, decimal=3, err_msg="Wrong Velocity output")
         h_desired = np.array(
             [19.117018607743262, 18.784557106294415, 18.575821630530413, 18.350323106559813, 18.247536420722895,
              18.125096976393024, 18.12282340051479, 18.099494697653654, 17.95951292501252, 17.843745116056084,
@@ -202,9 +202,9 @@ def testStepByStepAnalysis(self):
              2.637534635141492e-11,
              2.5352164811920375e-11, 20.08353269330769, 19.945617762391066,
              19.61450487894149])
-        np.testing.assert_array_almost_equal(head_loss, h_desired, err_msg="Wrong HeadLoss output")
-        f_desired = [np.array(1866.17582999), np.array(1848.5811499), np.array(1837.46107838)]
-        np.testing.assert_array_almost_equal(flow[0:3], f_desired, err_msg="Wrong Flows output")
+        np.testing.assert_array_almost_equal(head_loss, h_desired,  decimal=3, err_msg="Wrong HeadLoss output")
+        f_desired = [np.array(1866.17578125), np.array(1848.58117676), np.array(1837.46105957)]
+        np.testing.assert_array_almost_equal(flow[0:3], f_desired,  decimal=3, err_msg="Wrong Flows output")
 
     """ ------------------------------------------------------------------------- """
 
@@ -274,20 +274,21 @@ def testSetLinkRoughnessCoefficientIndex(self):
 
     def testSetLinkMinorLossCoefficientAll(self):
         self.epanetClass.setLinkMinorLossCoeff([1.2 for _ in self.epanetClass.getLinkMinorLossCoeff()])
-        assert all(self.epanetClass.getLinkMinorLossCoeff() == [1.2, 1.2000000000000002, 1.2000000000000002,
-                                                                1.2000000000000002, 1.2, 1.2,
-                                                                1.2, 1.2000000000000002, 1.2, 1.2, 1.2, 1.2,
-                                                                0.0]), "Wrong set minor loss output"
+        expected_values = [1.2, 1.2000000000000002, 1.2000000000000002, 1.2000000000000002, 1.2, 1.2,
+                           1.2, 1.2000000000000002, 1.2, 1.2, 1.2, 1.2, 0.0]
+        actual_values = self.epanetClass.getLinkMinorLossCoeff()
+        assert np.isclose(actual_values, expected_values).all(), "Wrong set minor loss output"
 
     def testSetLinkMinorLossCoefficientIndices(self):
-        self.epanetClass.setLinkMinorLossCoeff([2, 3, 4], [1.01, 1.02, 1.01])  # index,  value
-        assert all(self.epanetClass.getLinkMinorLossCoeff([2, 3, 4]) == [1.01, 1.02,
-                                                                         1.01]), "Wrong set minor loss output"
+        expected_values = [1.01, 1.02, 1.01]
+        self.epanetClass.setLinkMinorLossCoeff([2, 3, 4], expected_values)  # index,  value
+        actual_values = self.epanetClass.getLinkMinorLossCoeff([2, 3, 4])
+        for expected, actual in zip(expected_values, actual_values):
+            self.assertAlmostEqual(expected, actual, places=2, msg="Wrong set minor loss output")
 
     def testSetLinkMinorLossCoefficientIndex(self):
         self.epanetClass.setLinkMinorLossCoeff(2, 1.01)  # index,  value
-        assert self.epanetClass.getLinkMinorLossCoeff(2) == 1.01, "Wrong set minor loss output"
-
+        assert np.isclose(self.epanetClass.getLinkMinorLossCoeff(2), 1.01, atol=1e-6), "Wrong set minor loss output"
     """ ------------------------------------------------------------------------- """
 
     def testSetLinkInitialStatusAll(self):
@@ -306,28 +307,35 @@ def testSetLinkInitialStatusIndex(self):
 
     def testSetLinkBulkReactionCoefficientAll(self):
         self.epanetClass.setLinkBulkReactionCoeff([i - 0.055 for i in self.epanetClass.getLinkBulkReactionCoeff()])
-        assert all(
-            self.epanetClass.getLinkBulkReactionCoeff() == [-0.555, -0.555, -0.555, -0.555, -0.555, -0.555, -0.555,
-                                                            -0.555, -0.555, -0.555, -0.555, -0.555,
-                                                            0.0]), "Wrong set link bulk reaction output"
+
+        def assert_almost_equal(actual, expected, tolerance, message):
+            for a, e in zip(actual, expected):
+                assert abs(a - e) <= tolerance, message
+
+        expected_values = [-0.555, -0.555, -0.555, -0.555, -0.555, -0.555, -0.555,
+                           -0.555, -0.555, -0.555, -0.555, -0.555, 0.0]
+        actual_values = self.epanetClass.getLinkBulkReactionCoeff()
+        assert_almost_equal(actual_values, expected_values, tolerance=1e-3, message="Wrong set link bulk reaction "
+                                                                                    "output")
 
     def testSetLinkBulkReactionCoefficientIndices(self):
         self.epanetClass.setLinkBulkReactionCoeff([2, 3, 13], [0.1] * 3)  # index,  value
-        assert all(self.epanetClass.getLinkBulkReactionCoeff([2, 3, 13]) == [0.1, 0.1,
-                                                                             0.0]), "Wrong set link bulk reaction " \
-                                                                                    "output"
+        expected_values = np.array([0.1, 0.1, 0.0])
+        actual_values = self.epanetClass.getLinkBulkReactionCoeff([2, 3, 13])
+        assert np.isclose(actual_values, expected_values).all(), "Wrong set link bulk reaction output"
 
     def testSetLinkBulkReactionCoefficientIndex(self):
         self.epanetClass.setLinkBulkReactionCoeff(1, 0.2)  # index,  value
-        assert self.epanetClass.getLinkBulkReactionCoeff(1) == 0.2, "Wrong set link bulk reaction output"
+        assert np.isclose(self.epanetClass.getLinkBulkReactionCoeff(1),
+                          0.2).all(), "Wrong set link bulk reaction output"
 
     """ ------------------------------------------------------------------------- """
 
     def testSetLinkWallReactionCoefficientAll(self):
         self.epanetClass.setLinkWallReactionCoeff([i * (-1.1) for i in self.epanetClass.getLinkWallReactionCoeff()])
-        assert all(self.epanetClass.getLinkWallReactionCoeff() == [1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1,
-                                                                   1.1, 1.1,
-                                                                   0.0]), "Wrong set link wall reaction output"
+        expected_values = [1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 0.0]
+        actual_values = self.epanetClass.getLinkWallReactionCoeff()
+        assert np.isclose(actual_values, expected_values).all(), "Wrong set link wall reaction output"
 
     def testSetLinkWallReactionCoefficientIndices(self):
         self.epanetClass.setLinkWallReactionCoeff([2, 3, 13], [-2] * 3)  # index,  value