From be57ad58461f1e1a9d1334c48d398e4a27e151f3 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Mon, 24 Oct 2022 12:13:47 +0100
Subject: [PATCH 01/27] Change default parameter handling

---
 markov_builder/MarkovChain.py    | 120 ++++++++++++++++++++-----------
 markov_builder/example_models.py |   6 +-
 2 files changed, 81 insertions(+), 45 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index cacf68e..9da9c77 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -22,24 +22,24 @@ class MarkovChain():
     """
 
     def __init__(self, states: list = [], state_attributes_class:
-                 MarkovStateAttributes = None, seed: int = None,
-                 name: str = None):
+                 MarkovStateAttributes = None, seed: int = None, name: str =
+                 None, open_state: str = None, rates: list = None,
+                 rate_dictionary: dict = None, auxiliary_expression: str =
+                 None, auxiliary_symbol: str = None, shared_variables_dict: dict
+                 = None, auxiliary_params_dict: dict = None):
 
         # Initialise the graph representing the states. Each directed edge has
         # a `rate` attribute which is a string representing the transition rate
         # between the two nodes
 
         self.graph = nx.DiGraph()
-        if states:
-            self.graph.add_nodes_from(states)
         self.rates = set()
 
         # Initialise a random number generator for simulation. Optionally, a
         # seed can be specified.
         self.rng = default_rng(seed)
         self.name = name
-        self.shared_rate_variables = set()
-
+        self.shared_variables = {}
         self.rate_expressions = {}
         self.default_values = {}
 
@@ -53,7 +53,24 @@ def __init__(self, states: list = [], state_attributes_class:
         self.auxiliary_variable = 'auxiliary_expression'
 
         if not issubclass(self.state_attributes_class, MarkovStateAttributes):
-            raise Exception("state_attirbutes_class must be a dataclass")
+            raise Exception("state_attributes_class must be a subclass of MarkovStateAttributes")
+
+        if states:
+            for state in states:
+                self.add_state(state)
+
+        if rates:
+            for r in rates:
+                self.add_both_transitions(*r)
+            if shared_variables_dict:
+                self.parameterise_rates(rate_dictionary, shared_variables_dict)
+
+        if states and open_state and rates and rate_dictionary and auxiliary_expression and\
+           auxiliary_symbol and shared_variables_dict and auxiliary_params_dict:
+            open_state = self.get_state_symbol(open_state)
+            self.define_auxiliary_expression(sp.sympify(auxiliary_expression.format(open_state)),
+                                             auxiliary_symbol,
+                                             auxiliary_params_dict)
 
     def mirror_model(self, prefix: str, new_rates: bool = False) -> None:
         """ Duplicate all states and rates in the model such that there are two identical components.
@@ -404,14 +421,14 @@ def sample_trajectories(self, no_trajectories: int, time_range: list = [0, 1],
             # default missing values to those in self.default_values
             param_dict = {param: param_dict[param]
                           if param in param_dict
-                          else self.default_values[param]
+                          else {**self.default_values, **self.shared_variables}[param]
                           for param in param_list}
         else:
             param_dict = self.default_values
 
-        if starting_distribution is None:
-            starting_distribution = np.around(np.array([no_trajectories] * no_nodes) / no_nodes)
-            starting_distribution[0] += no_trajectories - starting_distribution.sum()
+            if starting_distribution is None:
+                starting_distribution = np.around(np.array([no_trajectories] * no_nodes) / no_nodes)
+                starting_distribution[0] += no_trajectories - starting_distribution.sum()
 
         distribution = starting_distribution
 
@@ -554,7 +571,7 @@ def substitute_rates(self, rates_dict: dict):
                     d['label'] = d['rate']
                 d['rate'] = str(sp.sympify(d['rate']).subs(rates_dict))
 
-    def parameterise_rates(self, rate_dict: dict, shared_variables: list = []) -> None:
+    def parameterise_rates(self, rate_dict: dict, shared_variables: dict = {}) -> None:
         """Define a set of parameters for the transition rates.
 
         Parameters declared as
@@ -569,14 +586,6 @@ def parameterise_rates(self, rate_dict: dict, shared_variables: list = []) -> No
 
         """
 
-        # Check that shared_variables is a list (and not a string!)
-        if isinstance(shared_variables, str):
-            raise TypeError("shared_variables is a string but must be a list")
-
-        for v in shared_variables:
-            if v in self.reserved_names:
-                raise Exception('name %s is reserved', v)
-
         # Validate rate dictionary
         for r in rate_dict:
             if r not in self.rates:
@@ -584,13 +593,21 @@ def parameterise_rates(self, rate_dict: dict, shared_variables: list = []) -> No
 
         rate_expressions = {}
         default_values_dict = {}
+
         for r in self.rates:
             if r in rate_dict:
-                if len(rate_dict[r]) == 2:
+                default_values = []
+                dummy_variables = []
+                if len(rate_dict[r]) == 1:
+                    expression = rate_dict[r][0]
+                elif len(rate_dict[r]) == 2:
                     expression, dummy_variables = rate_dict[r]
-                    default_values = []
-                else:
+                elif len(rate_dict[r]) == 3:
                     expression, dummy_variables, default_values = rate_dict[r]
+                else:
+                    raise ValueError(f"Rate dictionary was malformed. \
+                    Entry with key {r} ({rate_dict[r]}) should be a tuple/list of length 1-3")
+
                 if len(dummy_variables) < len(default_values):
                     raise ValueError("dummy variables list and default values list have mismatching lengths.\
                     Lengths {} and {}".format(len(dummy_variables), len(default_values)))
@@ -598,10 +615,11 @@ def parameterise_rates(self, rate_dict: dict, shared_variables: list = []) -> No
                 expression = sp.sympify(expression)
 
                 for symbol in expression.free_symbols:
-                    variables = list(dummy_variables) + list(shared_variables)
-                    if str(symbol) not in variables:
-                        raise Exception(
-                            f"Symbol, {symbol} was not found in dummy variables or shared_variables, {variables}.")
+                    symbol = str(symbol)
+                    variables = list(dummy_variables) + list(shared_variables.keys())
+                    if symbol not in variables:
+                        # Add symbol to shared variables dictionary
+                        shared_variables[symbol] = None
                 subs_dict = {u: f"{r}_{u}" for i, u in enumerate(dummy_variables)}
                 rate_expressions[r] = sp.sympify(expression).subs(subs_dict)
 
@@ -609,13 +627,14 @@ def parameterise_rates(self, rate_dict: dict, shared_variables: list = []) -> No
                 for u, v in zip(dummy_variables, default_values):
                     new_var_name = f"{r}_{u}"
                     if new_var_name in default_values_dict:
-                        raise Exception(f"A parameter with label {new_var_name} is already present in the model.")
+                        raise ValueError(f"A parameter with label {new_var_name} is already present in the model.")
                     default_values_dict[new_var_name] = v
 
         self.rate_expressions = {**self.rate_expressions, **rate_expressions}
-        self.default_values = {**self.default_values, **default_values_dict}
+        self.default_values = default_values_dict
 
-        self.shared_rate_variables = self.shared_rate_variables.union(shared_variables)
+        for key in shared_variables.keys():
+            self.default_values[key] = shared_variables[key]
 
     def get_parameter_list(self) -> List[str]:
         """
@@ -630,7 +649,7 @@ def get_parameter_list(self) -> List[str]:
             for symbol in self.rate_expressions[r].free_symbols:
                 rates.add(str(symbol))
 
-        rates = rates.union([str(sym) for sym in self.shared_rate_variables])
+        rates = rates.union([str(sym) for sym in self.shared_variables])
 
         return sorted(rates)
 
@@ -703,9 +722,18 @@ def generate_myokit_model(self, name: str = "",
                 comp.add_variable(parameter)
                 if parameter in self.default_values:
                     comp[parameter].set_rhs(self.default_values[parameter])
+                elif parameter in self.auxiliary_variables:
+                    comp[parameter].set_rhs(self.auxiliary_variables[parameter])
+                elif parameter in self.shared_variables:
+                    comp[parameter].set_rhs(self.shared_variables[parameter])
 
         for rate in self.rates:
-            comp.add_variable(rate)
+            try:
+                comp.add_variable(rate)
+            except myokit.DuplicateName:
+                # Variable has already been added
+                pass
+
             if rate in self.rate_expressions:
                 expr = self.rate_expressions[rate]
                 comp[rate].set_rhs(str(expr))
@@ -724,7 +752,7 @@ def generate_myokit_model(self, name: str = "",
             var.set_state_value(0)
 
         # All but one states start with 0 occupancy. If they were all 0 nothing
-        # would happen!
+        # would happen.
         comp[states[-1]].set_state_value(1)
 
         # Write equation for eliminated state using the fact that the state
@@ -739,12 +767,14 @@ def generate_myokit_model(self, name: str = "",
             comp[self.get_state_symbol(eliminate_state)].set_rhs(rhs_str)
 
         # Add auxiliary equation if required
-        if self.auxiliary_expression is not None:
+        if self.auxiliary_expression is not None and self.auxiliary_variable:
             comp.add_variable(self.auxiliary_variable)
             comp[self.auxiliary_variable].set_rhs(str(self.auxiliary_expression))
+
         return model
 
-    def define_auxiliary_expression(self, expression: sp.Expr, label: str = None, default_values: dict = {}) -> None:
+    def define_auxiliary_expression(self, expression: sp.Expr, label: str =
+                                    None, default_values: dict = {}) -> None:
         """Define an auxiliary output variable for the model.
 
         :param expression: A sympy expression defining the auxiliary variable
@@ -763,12 +793,6 @@ def define_auxiliary_expression(self, expression: sp.Expr, label: str = None, de
             raise Exception()
 
         state_symbols = [self.get_state_symbol(state) for state in self.graph.nodes()]
-        for symbol in expression.free_symbols:
-            if str(symbol) not in state_symbols:
-                if self.shared_rate_variables is None:
-                    self.shared_rate_variables = set(str(symbol))
-                else:
-                    self.shared_rate_variables.add(str(symbol))
 
         for symbol in default_values:
             symbol = sp.sympify(symbol)
@@ -777,9 +801,21 @@ def define_auxiliary_expression(self, expression: sp.Expr, label: str = None, de
             if symbol in self.default_values:
                 raise Exception()
 
-        self.default_values = {**self.default_values, **default_values}
+        for symbol in expression.free_symbols:
+            if str(symbol) not in state_symbols:
+                symbol = str(symbol)
+                if symbol in default_values.keys():
+                    self.shared_variables[symbol] = default_values[symbol]
+                elif symbol in self.shared_variables:
+                    continue
+                else:
+                    self.shared_variables[symbol] = np.NaN
+
         self.auxiliary_expression = expression
 
+        # TODO check these variables are not elsewhere in the model
+        self.auxiliary_variables = default_values
+
     def as_latex(self, state_to_remove: str = None, include_auxiliary_expression: bool = False,
                  column_vector=True, label_order: list = None) -> str:
         """Creates a LaTeX expression describing the Markov chain, its parameters and
diff --git a/markov_builder/example_models.py b/markov_builder/example_models.py
index db9c65b..9380db3 100644
--- a/markov_builder/example_models.py
+++ b/markov_builder/example_models.py
@@ -63,7 +63,7 @@ def construct_four_state_chain():
                        'k_3': positive_rate_expr + ((0.0873, 8.91E-3),),
                        'k_4': negative_rate_expr + ((5.15E-3, 0.003158),)}
 
-    mc.parameterise_rates(rate_dictionary, shared_variables=('V',))
+    mc.parameterise_rates(rate_dictionary)
 
     open_state = mc.get_state_symbol('O')
     auxiliary_expression = sp.sympify(f"g_Kr * {open_state} * (V - E_Kr)")
@@ -122,7 +122,7 @@ def construct_wang_chain():
                        'b_1': negative_rate_expr + ((0.006497, 0.03268),)
                        }
 
-    mc.parameterise_rates(rate_dictionary, shared_variables=('V',))
+    mc.parameterise_rates(rate_dictionary)
 
     open_state = mc.get_state_symbol('O')
 
@@ -222,7 +222,7 @@ def construct_kemp_model():
         'b_h': positive_rate_expr + ((2.70e-01, 1.58e-02),),
     }
 
-    mc.parameterise_rates(rate_dictionary, shared_variables=('V',))
+    mc.parameterise_rates(rate_dictionary)
 
     open_state = mc.get_state_symbol('O')
 

From 9d952fc0a477a009501a00fea3b4e8463a4b65df Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Mon, 24 Oct 2022 12:15:35 +0100
Subject: [PATCH 02/27] Remove unnecessary line from test

---
 tests/test_MarkovChain.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index 2ce6fa0..fa74892 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -80,7 +80,6 @@ def test_construct_examples(self):
                                            name), show_parameters=True)
 
             nx.drawing.nx_agraph.write_dot(mc.graph, "%s_dotfile.dot" % name)
-            nx.drawing.nx_agraph.write_dot(mc.graph, "%s_dotfile.dot" % name)
 
     def test_parameterise_rates(self):
         """

From 2297bf97459a07d763a8e2665dc3630c884f359c Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Mon, 24 Oct 2022 12:20:24 +0100
Subject: [PATCH 03/27] Add first 4 models. Add tests to generate .mmt and
 graph files

---
 markov_builder/models/__init__.py             |  0
 .../models/thirty_models/__init__.py          |  7 +++
 markov_builder/models/thirty_models/model0.py | 37 +++++++++++
 markov_builder/models/thirty_models/model1.py | 32 ++++++++++
 markov_builder/models/thirty_models/model2.py | 35 +++++++++++
 markov_builder/models/thirty_models/model3.py | 40 ++++++++++++
 .../thirty_models/tests/test_30_models.py     | 63 +++++++++++++++++++
 7 files changed, 214 insertions(+)
 create mode 100644 markov_builder/models/__init__.py
 create mode 100644 markov_builder/models/thirty_models/__init__.py
 create mode 100644 markov_builder/models/thirty_models/model0.py
 create mode 100644 markov_builder/models/thirty_models/model1.py
 create mode 100644 markov_builder/models/thirty_models/model2.py
 create mode 100644 markov_builder/models/thirty_models/model3.py
 create mode 100644 markov_builder/models/thirty_models/tests/test_30_models.py

diff --git a/markov_builder/models/__init__.py b/markov_builder/models/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/markov_builder/models/thirty_models/__init__.py b/markov_builder/models/thirty_models/__init__.py
new file mode 100644
index 0000000..f97907f
--- /dev/null
+++ b/markov_builder/models/thirty_models/__init__.py
@@ -0,0 +1,7 @@
+from .model0 import model_00
+from .model1 import model_01
+from .model2 import model_02
+from .model3 import model_03
+
+
+__all__ = ['model_00', 'model_01', 'model_02', 'model_03']
diff --git a/markov_builder/models/thirty_models/model0.py b/markov_builder/models/thirty_models/model0.py
new file mode 100644
index 0000000..fb40244
--- /dev/null
+++ b/markov_builder/models/thirty_models/model0.py
@@ -0,0 +1,37 @@
+import numpy as np
+
+from markov_builder import MarkovChain
+from markov_builder.rate_expressions import negative_rate_expr, positive_rate_expr
+
+
+class model_00(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'I', 'IC')
+    rates = [('O', 'C', 'k_2', 'k_1'),
+             ('I', 'IC', 'k_2', 'k_1'),
+             ('O', 'I', 'k_3', 'k_4'),
+             ('C', 'IC', 'k_3', 'k_4')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': np.NaN}
+
+    rate_dictionary = {'k_1': positive_rate_expr + ((2.26E-4, 6.99E-2),),
+                       'k_2': negative_rate_expr + ((3.44E-5, 5.460E-2),),
+                       'k_3': positive_rate_expr + ((0.0873, 8.91E-3),),
+                       'k_4': negative_rate_expr + ((5.15E-3, 0.003158),)}
+    auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'g_Kr': 0.1524,
+                             'E_Kr': -88
+                             }
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model1.py b/markov_builder/models/thirty_models/model1.py
new file mode 100644
index 0000000..124942b
--- /dev/null
+++ b/markov_builder/models/thirty_models/model1.py
@@ -0,0 +1,32 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+from markov_builder.rate_expressions import negative_rate_expr, positive_rate_expr
+
+
+class model_01(MarkovChain):
+    description = ""
+    states = ('O', 'C')
+    rates = [('O', 'C', 'k_12', 'k_21')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN}
+    rate_dictionary = {'k_12': positive_rate_expr + ((2.26E-4, 6.99E-2),),
+                       'k_21': negative_rate_expr + ((3.45e-5, 0.05462),)}
+
+    auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'g_Kr': 0.1524,
+                             'E_Kr': -88
+                             }
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model2.py b/markov_builder/models/thirty_models/model2.py
new file mode 100644
index 0000000..544e2e9
--- /dev/null
+++ b/markov_builder/models/thirty_models/model2.py
@@ -0,0 +1,35 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+from markov_builder.rate_expressions import negative_rate_expr, positive_rate_expr
+
+
+class model_02(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'I')
+    rates = [('C', 'O', 'a_m', 'b_m'),
+             ('O', 'I', 'b', 'a')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN}
+    rate_dictionary = {'a_m': positive_rate_expr + ((2.26E-4, 6.99E-2),),
+                       'b_m': negative_rate_expr + ((3.44E-5, 5.460E-2),),
+                       'b': positive_rate_expr + ((0.0873, 8.91E-3),),
+                       'a': negative_rate_expr + ((5.15E-3, 0.003158),)}
+
+    auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'g_Kr': 0.1524,
+                             'E_Kr': -88
+                             }
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model3.py b/markov_builder/models/thirty_models/model3.py
new file mode 100644
index 0000000..94dfd61
--- /dev/null
+++ b/markov_builder/models/thirty_models/model3.py
@@ -0,0 +1,40 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+from markov_builder.rate_expressions import negative_rate_expr, positive_rate_expr
+
+
+class model_03(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'I', 'IC')
+    rates = [('O', 'C', 'b1', 'a1'),
+             ('I', 'IC', 'a3', 'b3'),
+             ('O', 'I', 'a4', 'b4'),
+             ('C', 'IC', 'a4', 'b4')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN}
+    rate_dictionary = {'a1': positive_rate_expr + ((2.26E-4, 6.99E-2),),
+                       'b1': negative_rate_expr + ((3.45E-5, 5.462E-2),),
+                       'a3': negative_rate_expr + ((5.15e-3, 0.03158),),
+                       'b3': ('(a3 * a1)/b1', (), ()),
+                       'a4': positive_rate_expr + ((0.08730, 8.91e-3),),
+                       'b4': negative_rate_expr + ((5.15e-3, 0.03158),)
+                       }
+
+    auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'g_Kr': 0.1524,
+                             'E_Kr': -88
+                             }
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/tests/test_30_models.py b/markov_builder/models/thirty_models/tests/test_30_models.py
new file mode 100644
index 0000000..bdfd107
--- /dev/null
+++ b/markov_builder/models/thirty_models/tests/test_30_models.py
@@ -0,0 +1,63 @@
+#!/usr/bin/env python3
+
+import logging
+import os
+import unittest
+
+import myokit
+import networkx as nx
+
+from markov_builder.models.thirty_models import (
+    model_00,
+    model_01,
+    model_02,
+    model_03,
+)
+
+
+class TestThirtyModels(unittest.TestCase):
+
+    def setUp(self):
+        """Run by unittest before the tests in this class are performed.
+
+        Create an output directory (if it doesn't already exist). An
+        alternative output path can be used by setting the
+        MARKOVBUILDER_TEST_OUTPUT environment variable
+
+        """
+        test_output_dir = os.environ.get('MARKOVBUILDER_TEST_OUTPUT', os.path.join(
+            os.path.dirname(os.path.realpath(__file__)), self.__class__.__name__))
+        if not os.path.exists(test_output_dir):
+            os.makedirs(test_output_dir)
+        self.output_dir = test_output_dir
+        logging.info("outputting to " + test_output_dir)
+
+        self.models = [model_00, model_01, model_02, model_03]
+
+    def test_generate_myokit(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"intiating {name}")
+            mc = model()
+            myokit_model = mc.generate_myokit_model()
+            myokit.save(os.path.join(self.output_dir, f"{model.__name__}.mmt"), myokit_model)
+        return
+
+    def test_visualise_graphs(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"intiating {name}")
+            mc = model()
+
+            mc.draw_graph(os.path.join(self.output_dir, f"{name}_graph.html"),
+                          show_parameters=False)
+            mc.draw_graph(os.path.join(self.output_dir, f"{name}_graph_with_parameters.html"),
+                          show_parameters=True)
+
+            nx.drawing.nx_agraph.write_dot(mc.graph, os.path.join(self.output_dir,
+                                                                  "%s_dotfile.dot" % name))
+
+
+if __name__ == "__main__":
+    logging.getLogger().setLevel(logging.DEBUG)
+    unittest.main()

From ae770abc3fe8d34913ced5a8ae704d78d3d0e858 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 25 Oct 2022 11:56:01 +0100
Subject: [PATCH 04/27] Add tests for connectedness as reversibility. Add
 models 4,5

---
 markov_builder/MarkovChain.py                 | 26 +++++++++-
 .../models/thirty_models/__init__.py          |  4 +-
 markov_builder/models/thirty_models/model4.py | 52 +++++++++++++++++++
 markov_builder/models/thirty_models/model5.py | 50 ++++++++++++++++++
 .../thirty_models/tests/test_30_models.py     | 20 ++++++-
 5 files changed, 148 insertions(+), 4 deletions(-)
 create mode 100644 markov_builder/models/thirty_models/model4.py
 create mode 100644 markov_builder/models/thirty_models/model5.py

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 9da9c77..a151a5b 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -485,6 +485,18 @@ def get_equilibrium_distribution(self, param_dict: dict = None) -> Tuple[List[st
         ss = np.append(ss, 1 - ss.sum())
         return labels, ss
 
+    def is_connected(self) -> bool:
+        """Checks if the graph is strongly connected that is, if each state can be
+        reached from every other state. This function returns true even if all
+        transition rates are 0.
+
+        :return: A bool which is true if the graph is strongly connected and
+        false otherwise
+
+        """
+
+        return nx.algorithms.components.is_strongly_connected(self.graph)
+
     def is_reversible(self) -> bool:
         """Checks symbolically whether or not the Markov chain is reversible for any set of non-zero transition rate values.
 
@@ -498,7 +510,7 @@ def is_reversible(self) -> bool:
         # Digraph must be strongly connected in order for the chain to be
         # reversible. In other words it must be possible to transition from any
         # state to any other state in some finite number of transitions
-        if not nx.algorithms.components.is_strongly_connected(self.graph):
+        if not self.is_connected():
             return False
 
         undirected_graph = self.graph.to_undirected(reciprocal=False, as_view=True)
@@ -512,6 +524,13 @@ def is_reversible(self) -> bool:
             forward_rate_list = [sp.sympify(self.graph.get_edge_data(frm, to)['rate']) for frm, to in iter]
             backward_rate_list = [sp.sympify(self.graph.get_edge_data(frm, to)['rate']) for to, frm in iter]
 
+            logging.debug(self.rate_expressions)
+
+            # Substitute in expressions
+            forward_rate_list = [rate.subs(self.rate_expressions) for rate in forward_rate_list]
+            backward_rate_list = [rate.subs(self.rate_expressions) for rate in
+                                  backward_rate_list]
+
             logging.debug("Rates moving forwards around the cycle are: %s", forward_rate_list)
             logging.debug("Rates moving backwards around the cycle are: %s", backward_rate_list)
 
@@ -630,7 +649,10 @@ def parameterise_rates(self, rate_dict: dict, shared_variables: dict = {}) -> No
                         raise ValueError(f"A parameter with label {new_var_name} is already present in the model.")
                     default_values_dict[new_var_name] = v
 
-        self.rate_expressions = {**self.rate_expressions, **rate_expressions}
+        rate_expressions = {rate: expr.subs(rate_expressions) for rate, expr in
+                            rate_expressions.items()}
+
+        self.rate_expressions = rate_expressions
         self.default_values = default_values_dict
 
         for key in shared_variables.keys():
diff --git a/markov_builder/models/thirty_models/__init__.py b/markov_builder/models/thirty_models/__init__.py
index f97907f..2ab1bf1 100644
--- a/markov_builder/models/thirty_models/__init__.py
+++ b/markov_builder/models/thirty_models/__init__.py
@@ -2,6 +2,8 @@
 from .model1 import model_01
 from .model2 import model_02
 from .model3 import model_03
+from .model4 import model_04
+from .model5 import model_05
 
 
-__all__ = ['model_00', 'model_01', 'model_02', 'model_03']
+__all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04', 'model_05']
diff --git a/markov_builder/models/thirty_models/model4.py b/markov_builder/models/thirty_models/model4.py
new file mode 100644
index 0000000..88dc1da
--- /dev/null
+++ b/markov_builder/models/thirty_models/model4.py
@@ -0,0 +1,52 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_04(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'I', 'IC')
+    rates = [('O', 'C', 'b1', 'a1'),
+             ('I', 'IC', 'a3', 'b3'),
+             ('O', 'I', 'a4', 'b4'),
+             ('C', 'IC', 'a4', 'b4')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 5.15e-3,
+                             'p10': 0.03158,
+                             'p11': 0.15240,
+                             }
+
+    rate_dictionary = {'a1': ('p1 * exp(p2*V)',),
+                       'b1': ('p3 * exp(-p4*V)',),
+                       'a4': ('p5 * exp(p6*V)',),
+                       'b4': ('p7 * exp(-p8*V)',),
+                       'a3': ('p9 * exp(-p10*V)',),
+                       'b3': ('(a3*a1)/b1',)
+                       }
+
+    auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'g_Kr': 0.1524,
+                             'E_Kr': -88
+                             }
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model5.py b/markov_builder/models/thirty_models/model5.py
new file mode 100644
index 0000000..3df3bf3
--- /dev/null
+++ b/markov_builder/models/thirty_models/model5.py
@@ -0,0 +1,50 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_05(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'I', 'IC')
+    rates = [('O', 'C', 'bm', 'am'),
+             ('I', 'IC', 'bm', 'am'),
+             ('O', 'I', 'b1', 'a1'),
+             ('C', 'IC', 'b2', 'a2')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 5.15e-3,
+                             'p10': 0.03158,
+                             'p11': 0.15240,
+                             }
+
+    rate_dictionary = {'am': ('p1 * exp(p2*V)',),
+                       'bm': ('p3 * exp(-p4*V)',),
+                       'b1': ('p5 * exp(p6*V)',),
+                       'a1': ('p7 * exp(-p8*V)',),
+                       'b2': ('p9 * exp(p10*V)',),
+                       'a2': ('(b2*a1)/b1',)
+                       }
+
+    auxiliary_expression = "p11 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/tests/test_30_models.py b/markov_builder/models/thirty_models/tests/test_30_models.py
index bdfd107..84beb09 100644
--- a/markov_builder/models/thirty_models/tests/test_30_models.py
+++ b/markov_builder/models/thirty_models/tests/test_30_models.py
@@ -12,6 +12,8 @@
     model_01,
     model_02,
     model_03,
+    model_04,
+    model_05,
 )
 
 
@@ -32,7 +34,7 @@ def setUp(self):
         self.output_dir = test_output_dir
         logging.info("outputting to " + test_output_dir)
 
-        self.models = [model_00, model_01, model_02, model_03]
+        self.models = [model_00, model_01, model_02, model_03, model_04, model_05]
 
     def test_generate_myokit(self):
         for model in self.models:
@@ -57,6 +59,22 @@ def test_visualise_graphs(self):
             nx.drawing.nx_agraph.write_dot(mc.graph, os.path.join(self.output_dir,
                                                                   "%s_dotfile.dot" % name))
 
+    def test_connected(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"intiating {name}")
+
+            mc = model()
+            self.assertTrue(mc.is_connected())
+
+    def test_reversible(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"intiating {name}")
+
+            mc = model()
+            self.assertTrue(mc.is_reversible())
+
 
 if __name__ == "__main__":
     logging.getLogger().setLevel(logging.DEBUG)

From 0b6f9d884ac296994b7c34ae4df6f059b935a61d Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 1 Nov 2022 13:33:22 +0000
Subject: [PATCH 05/27] Fix draw_graph handling of transition rates

---
 markov_builder/MarkovChain.py                 | 15 +++--
 markov_builder/models/thirty_models/model0.py |  4 +-
 markov_builder/models/thirty_models/model1.py |  2 +-
 markov_builder/models/thirty_models/model2.py | 13 ++--
 markov_builder/models/thirty_models/model3.py | 18 +++---
 markov_builder/models/thirty_models/model5.py |  2 +-
 .../thirty_models/tests/test_30_models.py     | 60 +++++++++++++++++++
 7 files changed, 88 insertions(+), 26 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index a151a5b..171bc99 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -560,7 +560,7 @@ def draw_graph(self, filepath: str = None, show_options: bool =
                 if len(self.rate_expressions) == 0:
                     raise Exception()
                 else:
-                    data['label'] = str(self.rate_expressions[data['rate']])
+                    data['label'] = str(sp.sympify(data['rate']).subs(self.rate_expressions))
 
         nt = pyvis.network.Network(directed=True)
         nt.from_nx(self.graph)
@@ -750,11 +750,14 @@ def generate_myokit_model(self, name: str = "",
                     comp[parameter].set_rhs(self.shared_variables[parameter])
 
         for rate in self.rates:
-            try:
-                comp.add_variable(rate)
-            except myokit.DuplicateName:
-                # Variable has already been added
-                pass
+            free_symbols = sp.parse_expr(rate).free_symbols
+            for symb in free_symbols:
+                if symb not in comp.variables():
+                    try:
+                        comp.add_variable(str(symb))
+                    except myokit.DuplicateName:
+                        # Variable has already been added
+                        pass
 
             if rate in self.rate_expressions:
                 expr = self.rate_expressions[rate]
diff --git a/markov_builder/models/thirty_models/model0.py b/markov_builder/models/thirty_models/model0.py
index fb40244..4c76d29 100644
--- a/markov_builder/models/thirty_models/model0.py
+++ b/markov_builder/models/thirty_models/model0.py
@@ -16,9 +16,9 @@ class model_00(MarkovChain):
     shared_variables_dict = {'V': np.NaN}
 
     rate_dictionary = {'k_1': positive_rate_expr + ((2.26E-4, 6.99E-2),),
-                       'k_2': negative_rate_expr + ((3.44E-5, 5.460E-2),),
+                       'k_2': negative_rate_expr + ((3.45E-5, 5.460E-2),),
                        'k_3': positive_rate_expr + ((0.0873, 8.91E-3),),
-                       'k_4': negative_rate_expr + ((5.15E-3, 0.003158),)}
+                       'k_4': negative_rate_expr + ((5.15E-3, 0.03158),)}
     auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
     auxiliary_symbol = 'I_Kr'
 
diff --git a/markov_builder/models/thirty_models/model1.py b/markov_builder/models/thirty_models/model1.py
index 124942b..76f4edf 100644
--- a/markov_builder/models/thirty_models/model1.py
+++ b/markov_builder/models/thirty_models/model1.py
@@ -7,7 +7,7 @@
 class model_01(MarkovChain):
     description = ""
     states = ('O', 'C')
-    rates = [('O', 'C', 'k_12', 'k_21')]
+    rates = [('O', 'C', 'k_21', 'k_12')]
 
     open_state = 'O'
     shared_variables_dict = {'V': NaN}
diff --git a/markov_builder/models/thirty_models/model2.py b/markov_builder/models/thirty_models/model2.py
index 544e2e9..da4fcf1 100644
--- a/markov_builder/models/thirty_models/model2.py
+++ b/markov_builder/models/thirty_models/model2.py
@@ -7,15 +7,16 @@
 class model_02(MarkovChain):
     description = ""
     states = ('O', 'C', 'I')
-    rates = [('C', 'O', 'a_m', 'b_m'),
-             ('O', 'I', 'b', 'a')]
+    rates = [('O', 'C', 'bm', 'am'),
+             ('O', 'I', 'ah', 'bh')]
 
     open_state = 'O'
     shared_variables_dict = {'V': NaN}
-    rate_dictionary = {'a_m': positive_rate_expr + ((2.26E-4, 6.99E-2),),
-                       'b_m': negative_rate_expr + ((3.44E-5, 5.460E-2),),
-                       'b': positive_rate_expr + ((0.0873, 8.91E-3),),
-                       'a': negative_rate_expr + ((5.15E-3, 0.003158),)}
+    rate_dictionary = {'am': positive_rate_expr + ((2.26E-4, 6.99E-2),),
+                       'bm': negative_rate_expr + ((3.45E-5, 5.462E-2),),
+                       'ah': positive_rate_expr + ((0.08730, 8.91e-3),),
+                       'bh': negative_rate_expr + ((5.15e-3, 0.03158),),
+                       }
 
     auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
     auxiliary_symbol = 'I_Kr'
diff --git a/markov_builder/models/thirty_models/model3.py b/markov_builder/models/thirty_models/model3.py
index 94dfd61..92fa2c2 100644
--- a/markov_builder/models/thirty_models/model3.py
+++ b/markov_builder/models/thirty_models/model3.py
@@ -7,19 +7,17 @@
 class model_03(MarkovChain):
     description = ""
     states = ('O', 'C', 'I', 'IC')
-    rates = [('O', 'C', 'b1', 'a1'),
-             ('I', 'IC', 'a3', 'b3'),
-             ('O', 'I', 'a4', 'b4'),
-             ('C', 'IC', 'a4', 'b4')]
+    rates = [('O', 'C', 'bm', 'am'),
+             ('I', 'IC', 'bm', 'am'),
+             ('O', 'I', 'ah', 'bh'),
+             ('C', 'IC', 'ah', 'bh')]
 
     open_state = 'O'
     shared_variables_dict = {'V': NaN}
-    rate_dictionary = {'a1': positive_rate_expr + ((2.26E-4, 6.99E-2),),
-                       'b1': negative_rate_expr + ((3.45E-5, 5.462E-2),),
-                       'a3': negative_rate_expr + ((5.15e-3, 0.03158),),
-                       'b3': ('(a3 * a1)/b1', (), ()),
-                       'a4': positive_rate_expr + ((0.08730, 8.91e-3),),
-                       'b4': negative_rate_expr + ((5.15e-3, 0.03158),)
+    rate_dictionary = {'am': positive_rate_expr + ((2.26E-4, 6.99E-2),),
+                       'bm': negative_rate_expr + ((3.45E-5, 5.462E-2),),
+                       'ah': positive_rate_expr + ((0.08730, 8.91e-3),),
+                       'bh': negative_rate_expr + ((5.15e-3, 0.03158),),
                        }
 
     auxiliary_expression = "g_Kr * {} * (V - E_Kr)"
diff --git a/markov_builder/models/thirty_models/model5.py b/markov_builder/models/thirty_models/model5.py
index 3df3bf3..106513c 100644
--- a/markov_builder/models/thirty_models/model5.py
+++ b/markov_builder/models/thirty_models/model5.py
@@ -37,7 +37,7 @@ class model_05(MarkovChain):
     auxiliary_expression = "p11 * {} * (V - E_Kr)"
     auxiliary_symbol = 'I_Kr'
 
-    auxiliary_params_dict = {}
+    auxiliary_params_dict = {'E_Kr': -88}
 
     def __init__(self):
         super().__init__(states=self.states,
diff --git a/markov_builder/models/thirty_models/tests/test_30_models.py b/markov_builder/models/thirty_models/tests/test_30_models.py
index 84beb09..cfd8d56 100644
--- a/markov_builder/models/thirty_models/tests/test_30_models.py
+++ b/markov_builder/models/thirty_models/tests/test_30_models.py
@@ -7,6 +7,11 @@
 import myokit
 import networkx as nx
 
+import myokit as mk
+import numpy as np
+
+import matplotlib.pyplot as plt
+
 from markov_builder.models.thirty_models import (
     model_00,
     model_01,
@@ -75,6 +80,61 @@ def test_reversible(self):
             mc = model()
             self.assertTrue(mc.is_reversible())
 
+    def test_output(self):
+        mmt_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
+                               'models_myokit')
+        Erev = -88
+
+        comparison_plot_dir = os.path.join(self.output_dir, 'comparison_plots')
+
+        if not os.path.exists(comparison_plot_dir):
+            os.makedirs(comparison_plot_dir)
+
+        for i, model in enumerate(self.models):
+            name = model.__name__
+            logging.debug(f"intiating {name}")
+
+            mc = model()
+            mk_protocol = mk.load_protocol(os.path.join(mmt_dir,
+                                                         'simplified-staircase.mmt'))
+
+            mk_model = mk.load_model(os.path.join(mmt_dir,
+                                                  f"model-{i}.mmt"))
+
+            sim = mk.Simulation(mk_model, mk_protocol)
+            sim.set_tolerance(1e-9, 1e-9)
+            sim.set_constant('nernst.EK', Erev)
+
+            tmax = mk_protocol.characteristic_time()
+            times = np.linspace(0, tmax, int(tmax) + 1)
+            sim.pre(1000)
+
+            log = sim.run(tmax, log_times=times, log=['ikr.IKr'])
+
+            mk_IKr = np.array(log['ikr.IKr'])
+
+            generated_mk_model = mc.generate_myokit_model()
+
+            sim = mk.Simulation(generated_mk_model, mk_protocol)
+            sim.set_tolerance(1e-9, 1e-9)
+            sim.set_constant('markov_chain.E_Kr', Erev)
+            sim.pre(1000)
+
+            log = sim.run(tmax, log_times=times, log=['markov_chain.I_Kr'])
+            gen_mk_IKr = np.array(log['markov_chain.I_Kr'])
+
+            fig = plt.figure(figsize=(12, 9))
+            fig.gca().plot(times[:-1], mk_IKr, label='original myokit simulation')
+            fig.gca().plot(times[:-1], gen_mk_IKr, label='generated myokit simulation')
+
+            fig.gca().legend()
+
+            fig.savefig(os.path.join(comparison_plot_dir,
+                                     f"{name}_myokit_comparison"))
+
+            error = np.sqrt(np.mean((gen_mk_IKr - mk_IKr)**2))
+            self.assertLess(error, 1e-2)
+
 
 if __name__ == "__main__":
     logging.getLogger().setLevel(logging.DEBUG)

From d50282716d794537ccf828c42c1f5a6fdc258ebf Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 1 Nov 2022 13:35:45 +0000
Subject: [PATCH 06/27] Add more models

---
 .../models/thirty_models/__init__.py          |  5 +-
 markov_builder/models/thirty_models/model6.py | 57 +++++++++++++++++++
 markov_builder/models/thirty_models/model7.py | 48 ++++++++++++++++
 markov_builder/models/thirty_models/model8.py | 54 ++++++++++++++++++
 .../thirty_models/tests/test_30_models.py     | 19 ++++---
 5 files changed, 174 insertions(+), 9 deletions(-)
 create mode 100644 markov_builder/models/thirty_models/model6.py
 create mode 100644 markov_builder/models/thirty_models/model7.py
 create mode 100644 markov_builder/models/thirty_models/model8.py

diff --git a/markov_builder/models/thirty_models/__init__.py b/markov_builder/models/thirty_models/__init__.py
index 2ab1bf1..9b1b43a 100644
--- a/markov_builder/models/thirty_models/__init__.py
+++ b/markov_builder/models/thirty_models/__init__.py
@@ -4,6 +4,9 @@
 from .model3 import model_03
 from .model4 import model_04
 from .model5 import model_05
+from .model6 import model_06
+from .model7 import model_07
+from .model8 import model_08
 
 
-__all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04', 'model_05']
+__all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04', 'model_05', 'model_06', 'model_07', 'model_08']
diff --git a/markov_builder/models/thirty_models/model6.py b/markov_builder/models/thirty_models/model6.py
new file mode 100644
index 0000000..73fa696
--- /dev/null
+++ b/markov_builder/models/thirty_models/model6.py
@@ -0,0 +1,57 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_06(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'I', 'IC')
+    rates = [('O', 'C', 'a1', 'b1'),
+             ('O', 'I', 'a2', 'b2'),
+             ('I', 'IC', 'a3', 'b3'),
+             ('C', 'IC', 'a4', 'b4')]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 5.15e-3,
+                             'p10': 0.03158,
+                             'p11': 5.15e-3,
+                             'p12': 0.03158,
+                             'p13': 5.15e-3,
+                             'p14': 0.03158,
+                             'p15': 0.15240
+                             }
+
+    rate_dictionary = {
+        'b1': ('p1 * exp(p2*V)',),
+        'a1': ('p3 * exp(-p4*V)',),
+        'a2': ('p5 * exp(p6*V)',),
+        'b2': ('p7 * exp(-p8*V)',),
+        'b3': ('p9 * exp(p10*V)',),
+        'a3': ('p11 * exp(-p12*V)',),
+        'a4': ('p13 * exp(p14*V)',),
+        'b4': ('(b3*b2*a1*a4)/(b1*a2*a3)',)
+    }
+
+    auxiliary_expression = "p15 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -88}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model7.py b/markov_builder/models/thirty_models/model7.py
new file mode 100644
index 0000000..fdfba85
--- /dev/null
+++ b/markov_builder/models/thirty_models/model7.py
@@ -0,0 +1,48 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_07(MarkovChain):
+    description = ""
+    states = ('O', 'C1', 'C2', 'I')
+    rates = [
+        ('O', 'C1', 'bm*2', 'am'),
+        ('C1', 'C2', 'bm', 'am*2'),
+        ('O', 'I', 'a1', 'b1')
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 0.15240,
+                             }
+
+    rate_dictionary = {
+        'am': ('p1 * exp(p2*V)',),
+        'bm': ('p3 * exp(-p4*V)',),
+        'a1': ('p5 * exp(p6*V)',),
+        'b1': ('p7 * exp(-p8*V)',),
+    }
+
+    auxiliary_expression = "p9 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -88}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model8.py b/markov_builder/models/thirty_models/model8.py
new file mode 100644
index 0000000..bb2c3fe
--- /dev/null
+++ b/markov_builder/models/thirty_models/model8.py
@@ -0,0 +1,54 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_08(MarkovChain):
+    description = ""
+    states = ('O', 'Y1', 'Y2', 'Y4')
+    rates = [
+        ('O', 'Y2', 'k43', 'k34'),
+        ('O', 'Y4', 'k56', 'k65'),
+        ('Y1', 'Y2', 'k12', 'k21')
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 0.08730,
+                             'p10': 8.91e-3,
+                             'p11': 5.15e-3,
+                             'p12': 0.03158,
+                             'p13': 0.15240
+                             }
+
+    rate_dictionary = {
+        'k12': ('p1 * exp( p2 * V)',),
+        'k21': ('p3 * exp(-p4 * V)',),
+        'k34': ('p5 * exp( p6 * V)',),
+        'k43': ('p7 * exp(-p8 * V)',),
+        'k56': ('p9 * exp( p10 * V)',),
+        'k65': ('p11 * exp(-p12 * V)',)
+    }
+
+    auxiliary_expression = "p13 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -88}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/tests/test_30_models.py b/markov_builder/models/thirty_models/tests/test_30_models.py
index cfd8d56..cf67a8a 100644
--- a/markov_builder/models/thirty_models/tests/test_30_models.py
+++ b/markov_builder/models/thirty_models/tests/test_30_models.py
@@ -4,14 +4,12 @@
 import os
 import unittest
 
+import matplotlib.pyplot as plt
 import myokit
-import networkx as nx
-
 import myokit as mk
+import networkx as nx
 import numpy as np
 
-import matplotlib.pyplot as plt
-
 from markov_builder.models.thirty_models import (
     model_00,
     model_01,
@@ -19,13 +17,16 @@
     model_03,
     model_04,
     model_05,
+    model_06,
+    model_07,
+    model_08,
 )
 
 
 class TestThirtyModels(unittest.TestCase):
 
     def setUp(self):
-        """Run by unittest before the tests in this class are performed.
+        """This is run by unittest before the tests in this class are performed.
 
         Create an output directory (if it doesn't already exist). An
         alternative output path can be used by setting the
@@ -39,7 +40,8 @@ def setUp(self):
         self.output_dir = test_output_dir
         logging.info("outputting to " + test_output_dir)
 
-        self.models = [model_00, model_01, model_02, model_03, model_04, model_05]
+        self.models = [model_00, model_01, model_02, model_03, model_04,
+                       model_05, model_06, model_07, model_08]
 
     def test_generate_myokit(self):
         for model in self.models:
@@ -95,8 +97,9 @@ def test_output(self):
             logging.debug(f"intiating {name}")
 
             mc = model()
-            mk_protocol = mk.load_protocol(os.path.join(mmt_dir,
-                                                         'simplified-staircase.mmt'))
+            mk_protocol_filename = os.path.join(mmt_dir,
+                                                'simplified-staircase.mmt')
+            mk_protocol = mk.load_protocol(mk_protocol_filename)
 
             mk_model = mk.load_model(os.path.join(mmt_dir,
                                                   f"model-{i}.mmt"))

From beacf8fc03759bfeddfb4b202525a991f4c0be9c Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Fri, 28 Apr 2023 13:52:43 +0100
Subject: [PATCH 07/27] Fix get_transition_matrix. Fix reversibility check. Add
 show_html switch to draw_graph

---
 markov_builder/MarkovChain.py | 31 +++++++++++++++++++------------
 markov_builder/__init__.py    |  2 +-
 tests/test_MarkovChain.py     |  6 +++---
 3 files changed, 23 insertions(+), 16 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 171bc99..62347ca 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -267,9 +267,13 @@ def get_transition_matrix(self, use_parameters: bool = False,
                 else:
                     edge = self.graph.get_edge_data(current_state, incident_state)
                     if edge is not None:
-                        row.append(edge["rate"])
+                        rate = edge["rate"]
+                        if isinstance(rate, str):
+                            row.append(edge["rate"])
+                        else:
+                            row.append(edge['rate'][0])
                     else:
-                        row.append(0)
+                        row.append(sp.sympify('0'))
             matrix.append(row)
 
         matrix = sp.Matrix(matrix)
@@ -285,7 +289,7 @@ def get_transition_matrix(self, use_parameters: bool = False,
         if label_order is None:
             return list(self.graph.nodes), matrix
         else:
-            if len(label_order) != self.graph.nodes():
+            if len(label_order) != len(self.graph.nodes()):
                 raise Exception("Not all states accounted for in label order")
 
             permutation = [label_order.index(n) for n in self.graph.nodes]
@@ -498,7 +502,8 @@ def is_connected(self) -> bool:
         return nx.algorithms.components.is_strongly_connected(self.graph)
 
     def is_reversible(self) -> bool:
-        """Checks symbolically whether or not the Markov chain is reversible for any set of non-zero transition rate values.
+        """Checks symbolically whether or not the Markov chain is reversible for any set of non-zero
+        transition rate values.
 
         We assume that all transition rates are always non-zero and follow
         Colquhoun et al. (2004) https://doi.org/10.1529/biophysj.103.
@@ -520,9 +525,9 @@ def is_reversible(self) -> bool:
             cycle.append(cycle[0])
             logging.debug("Checking cycle {}".format(cycle))
 
-            iter = list(zip(cycle, itertools.islice(cycle, 1, None)))
-            forward_rate_list = [sp.sympify(self.graph.get_edge_data(frm, to)['rate']) for frm, to in iter]
-            backward_rate_list = [sp.sympify(self.graph.get_edge_data(frm, to)['rate']) for to, frm in iter]
+            iterator = list(zip(cycle, itertools.islice(cycle, 1, None)))
+            forward_rate_list = [sp.sympify(self.graph.get_edge_data(frm, to)['rate']) for frm, to in iterator]
+            backward_rate_list = [sp.sympify(self.graph.get_edge_data(frm, to)['rate']) for to, frm in iterator]
 
             logging.debug(self.rate_expressions)
 
@@ -538,19 +543,21 @@ def is_reversible(self) -> bool:
                 logging.debug("Not all rates were specified.")
                 return False
 
-            forward_rate_product = sp.prod(forward_rate_list)
-            backward_rate_product = sp.prod(backward_rate_list)
-            if(forward_rate_product - backward_rate_product).evalf() != 0:
+            forward_rate_product = sp.prod(forward_rate_list).subs(self.rate_expressions)
+            backward_rate_product = sp.prod(backward_rate_list).subs(self.rate_expressions)
+            if (forward_rate_product - backward_rate_product).evalf() != 0:
                 return False
         return True
 
     def draw_graph(self, filepath: str = None, show_options: bool =
-                   False, show_rates: bool = False, show_parameters: bool = False):
+                   False, show_rates: bool = False, show_parameters: bool = False,
+                   show_html=False):
         """Visualise the graph as a webpage using pyvis.
 
         :param filepath: An optional filepath to save the file to. If this is None, will be opened as a webpage instead.
         :param show_options: Whether or not the options menu should be displayed on the webpage
         :param show_parameters: Whether or not we should display the transition rates instead of their labels
+        :param show_html: Whether or not to open the outputted html file in the browser
         """
 
         for _, _, data in self.graph.edges(data=True):
@@ -569,7 +576,7 @@ def draw_graph(self, filepath: str = None, show_options: bool =
             nt.show_buttons()
         if filepath is not None:
             nt.save_graph(filepath)
-        else:
+        if show_html:
             nt.show('Markov_builder_graph.html')
 
     def substitute_rates(self, rates_dict: dict):
diff --git a/markov_builder/__init__.py b/markov_builder/__init__.py
index 8a1c82c..bb8cd4d 100644
--- a/markov_builder/__init__.py
+++ b/markov_builder/__init__.py
@@ -16,7 +16,7 @@
 finally:
     # Always manually delete frame
     # https://docs.python.org/2/library/inspect.html#the-interpreter-stack
-    del(frame)
+    del frame
 
 #
 # Version info
diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index fa74892..aaef5db 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -23,7 +23,7 @@ def setUp(self):
 
         """
         test_output_dir = os.environ.get('MARKOVBUILDER_TEST_OUTPUT', os.path.join(
-            os.path.dirname(os.path.realpath(__file__)), self.__class__.__name__))
+            'test_output', self.__class__.__name__))
         if not os.path.exists(test_output_dir):
             os.makedirs(test_output_dir)
         self.output_dir = test_output_dir
@@ -162,11 +162,11 @@ def test_assert_reversibility_using_cycles(self):
         mc = example_models.construct_non_reversible_chain()
         logging.debug("graph is %s", mc.graph)
 
-        assert(not mc.is_reversible())
+        self.assertFalse(mc.is_reversible())
         logging.info("Checking reversibility of non-reversible chain")
         mc.add_open_trapping()
         logging.debug("graph is %s", mc.graph)
-        assert(not mc.is_reversible())
+        self.assertFalse(mc.is_reversible())
 
     def test_equate_rates(self):
         """

From 051a36fbea687b642fefab4264a1fa12a3e22ad2 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 11:27:34 +0100
Subject: [PATCH 08/27] Add models 11 and 30. Remove duplicated test file

---
 .flake8                                       |  12 +-
 .../models/thirty_models/__init__.py          |   5 +-
 .../models/thirty_models/model11.py           |  66 ++++++++
 .../models/thirty_models/model30.py           | 116 ++++++++++++++
 .../thirty_models/tests/test_30_models.py     | 144 ------------------
 setup.py                                      |   5 +-
 6 files changed, 197 insertions(+), 151 deletions(-)
 create mode 100644 markov_builder/models/thirty_models/model11.py
 create mode 100644 markov_builder/models/thirty_models/model30.py
 delete mode 100644 markov_builder/models/thirty_models/tests/test_30_models.py

diff --git a/.flake8 b/.flake8
index b6b5463..c65fe30 100644
--- a/.flake8
+++ b/.flake8
@@ -1,10 +1,14 @@
 [flake8]
 max_line_length = 120
 ignore =
-    W391  # allow empty line at end of file
-    W503  # break before binary operator - allow either style
-    W504  # break after binary operator - allow either style
-    E226  # missing whitespace around arithmetic operator
+# allow empty line at end of file
+    W391  
+# break before binary operator - allow either style
+    W503  
+# break after binary operator - allow either style
+    W504 
+# missing whitespace around arithmetic operator
+    E226  
 exclude=
     .git,
     venv,
diff --git a/markov_builder/models/thirty_models/__init__.py b/markov_builder/models/thirty_models/__init__.py
index 9b1b43a..633b8c5 100644
--- a/markov_builder/models/thirty_models/__init__.py
+++ b/markov_builder/models/thirty_models/__init__.py
@@ -7,6 +7,9 @@
 from .model6 import model_06
 from .model7 import model_07
 from .model8 import model_08
+from .model11 import model_11
+from .model30 import model_30
 
 
-__all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04', 'model_05', 'model_06', 'model_07', 'model_08']
+__all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04',
+           'model_05', 'model_06', 'model_07', 'model_08', 'model_11', 'model_30']
diff --git a/markov_builder/models/thirty_models/model11.py b/markov_builder/models/thirty_models/model11.py
new file mode 100644
index 0000000..13e2e5f
--- /dev/null
+++ b/markov_builder/models/thirty_models/model11.py
@@ -0,0 +1,66 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_11(MarkovChain):
+    description = ""
+    states = ('O', 'I', 'IC1', 'IC2', 'C2', 'C1')
+    rates = [
+        ('O', 'I', 'ah', 'bh'),
+        ('C1', 'O', 'a1', 'b1'),
+        ('IC1', 'I', 'a3', 'b3'),
+        ('IC2', 'IC1', 'a4', 'b4'),
+        ('C2', 'C1', 'a2', 'b2'),
+        ('C2', 'IC2', 'ah', 'bh'),
+        ('C1', 'IC1', 'ah', 'bh')
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 2.26e-4,
+                             'p10': 0.06990,
+                             'p11': 3.45e-5,
+                             'p12': 0.05462,
+                             'p13': 0.08730,
+                             'p14': 8.91e-3,
+                             'p15': 5.15e-3,
+                             'p16': 0.03158,
+                             'p17': 0.15240
+                             }
+
+    rate_dictionary = {
+        'a1': ('p1 * exp( p2 * V)',),
+        'b1': ('p3 * exp(-p4 * V)',),
+        'ah': ('p5 * exp( p6 * V)',),
+        'bh': ('p7 * exp(-p8 * V)',),
+        'a2': ('p9 * exp( p10 * V)',),
+        'b2': ('p11 * exp(-p12 * V)',),
+        'a3': ('p13 * exp( p14 * V)',),
+        'b3': ('(a3*b1)/a1',),
+        'a4': ('p15 * exp(p16* V)',),
+        'b4': ('(a4*b2)/a2',)
+    }
+
+    auxiliary_expression = "p17 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -85}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model30.py b/markov_builder/models/thirty_models/model30.py
new file mode 100644
index 0000000..10b094a
--- /dev/null
+++ b/markov_builder/models/thirty_models/model30.py
@@ -0,0 +1,116 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_30(MarkovChain):
+    description = ""
+    states = ('O', 'I', 'IC1', 'IC2', 'C2', 'C1', 'C3', 'IC3', 'IC4', 'C4')
+    rates = [
+        ('C1', 'O', 'a3', 'b3'),
+        ('C4', 'C3', 'a12', 'b12'),
+        ('C3', 'C2', 'a1', 'b1'),
+        ('IC1', 'I', 'a10', 'b10'),
+        ('IC2', 'IC1', 'a9', 'b9'),
+        ('IC3', 'IC2', 'a8', 'b8'),
+        ('IC4', 'IC3', 'a11', 'b11'),
+        ('C2', 'C1', 'a2', 'b2'),
+        ('O', 'I', 'a4', 'b4'),
+        ('C2', 'IC2', 'a6', 'b6'),
+        ('C1', 'IC1', 'a5', 'b5'),
+        ('C4', 'IC4', 'a13', 'b13'),
+        ('C3', 'IC3', 'a7', 'b7')
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 2.26e-4,
+                             'p10': 0.06990,
+                             'p11': 3.45e-5,
+                             'p12': 0.05462,
+                             'p13': 0.08730,
+                             'p14': 8.91e-3,
+                             'p15': 5.15e-3,
+                             'p16': 0.03158,
+                             'p17': 0.08730,
+                             'p18': 8.91e-3,
+                             'p19': 5.15e-3,
+                             'p20': 0.03158,
+                             'p21': 0.06990,
+                             'p22': 3.45e-5,
+                             'p23': 0.05462,
+                             'p24': 0.08730,
+                             'p25': 8.91e-3,
+                             'p26': 5.15e-3,
+                             'p27': 0.03158,
+                             'p28': 0.08730,
+                             'p29': 8.91e-3,
+                             'p30': 5.15e-3,
+                             'p31': 0.03158,
+                             'p32': 5.15e-3,
+                             'p33': 0.03158,
+                             'p34': 0.03158,
+                             'p35': 8.91e-3,
+                             'p36': 5.15e-3,
+                             'p37': 0.03158,
+                             'p38': 0.08730,
+                             'p39': 8.91e-3,
+                             'p40': 5.15e-3,
+                             'p41': 0.03158,
+                             'p42': 5.15e-3,
+                             'p43': 0.03158,
+                             'p44': 0.03158,
+                             'p45': 0.15240
+                             }
+
+    rate_dictionary = {
+        'a1': ('p1 * exp( p2 * V)',),
+        'b1': ('p3 * exp(-p4 * V)',),
+        'a2': ('p5 * exp( p6 * V)',),
+        'b2': ('p7 * exp(-p8 * V)',),
+        'a3': ('p9 * exp( p10 * V)',),
+        'b3': ('p11 * exp(-p12* V)',),
+        'a4': ('p13 * exp( p14 * V)',),
+        'b4': ('p15 * exp(-p16 * V)',),
+        'a8': ('p17 * exp(p18* V)',),
+        'b8': ('p19 * exp(-p20 * V)',),
+        'a9': ('p21 * exp(p22* V)',),
+        'b9': ('p23 * exp(-p24 * V)',),
+        'a10': ('p25 * exp(p26* V)',),
+        'b10': ('p27 * exp(-p28 * V)',),
+        'a5': ('p29 * exp(p30 * V)',),
+        'b5': ('a10*a5*b4*(b3)/(a3*a4*b10)',),
+        'a6': ('p31 * exp(p32 * V)',),
+        'b6': ('a9*a6*b5*(b2)/(a2*a5*b9)',),
+        'a7': ('p33 * exp(p34 * V)',),
+        'b7': ('a8*a7*b1*(b6)/(a1*a6*b8)',),
+        'a11': ('p35 * exp(p36* V)',),
+        'b11': ('p37 * exp(-p38 * V)',),
+        'a12': ('p39 * exp(p40* V)',),
+        'b12': ('p41 * exp(-p42 * V)',),
+        'a13': ('p43 * exp(p44 * V)',),
+        'b13': ('a13*a11*b7*b12/(a12*a7*b11)',),
+    }
+
+    auxiliary_expression = "p45 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -85}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/tests/test_30_models.py b/markov_builder/models/thirty_models/tests/test_30_models.py
deleted file mode 100644
index cf67a8a..0000000
--- a/markov_builder/models/thirty_models/tests/test_30_models.py
+++ /dev/null
@@ -1,144 +0,0 @@
-#!/usr/bin/env python3
-
-import logging
-import os
-import unittest
-
-import matplotlib.pyplot as plt
-import myokit
-import myokit as mk
-import networkx as nx
-import numpy as np
-
-from markov_builder.models.thirty_models import (
-    model_00,
-    model_01,
-    model_02,
-    model_03,
-    model_04,
-    model_05,
-    model_06,
-    model_07,
-    model_08,
-)
-
-
-class TestThirtyModels(unittest.TestCase):
-
-    def setUp(self):
-        """This is run by unittest before the tests in this class are performed.
-
-        Create an output directory (if it doesn't already exist). An
-        alternative output path can be used by setting the
-        MARKOVBUILDER_TEST_OUTPUT environment variable
-
-        """
-        test_output_dir = os.environ.get('MARKOVBUILDER_TEST_OUTPUT', os.path.join(
-            os.path.dirname(os.path.realpath(__file__)), self.__class__.__name__))
-        if not os.path.exists(test_output_dir):
-            os.makedirs(test_output_dir)
-        self.output_dir = test_output_dir
-        logging.info("outputting to " + test_output_dir)
-
-        self.models = [model_00, model_01, model_02, model_03, model_04,
-                       model_05, model_06, model_07, model_08]
-
-    def test_generate_myokit(self):
-        for model in self.models:
-            name = model.__name__
-            logging.debug(f"intiating {name}")
-            mc = model()
-            myokit_model = mc.generate_myokit_model()
-            myokit.save(os.path.join(self.output_dir, f"{model.__name__}.mmt"), myokit_model)
-        return
-
-    def test_visualise_graphs(self):
-        for model in self.models:
-            name = model.__name__
-            logging.debug(f"intiating {name}")
-            mc = model()
-
-            mc.draw_graph(os.path.join(self.output_dir, f"{name}_graph.html"),
-                          show_parameters=False)
-            mc.draw_graph(os.path.join(self.output_dir, f"{name}_graph_with_parameters.html"),
-                          show_parameters=True)
-
-            nx.drawing.nx_agraph.write_dot(mc.graph, os.path.join(self.output_dir,
-                                                                  "%s_dotfile.dot" % name))
-
-    def test_connected(self):
-        for model in self.models:
-            name = model.__name__
-            logging.debug(f"intiating {name}")
-
-            mc = model()
-            self.assertTrue(mc.is_connected())
-
-    def test_reversible(self):
-        for model in self.models:
-            name = model.__name__
-            logging.debug(f"intiating {name}")
-
-            mc = model()
-            self.assertTrue(mc.is_reversible())
-
-    def test_output(self):
-        mmt_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
-                               'models_myokit')
-        Erev = -88
-
-        comparison_plot_dir = os.path.join(self.output_dir, 'comparison_plots')
-
-        if not os.path.exists(comparison_plot_dir):
-            os.makedirs(comparison_plot_dir)
-
-        for i, model in enumerate(self.models):
-            name = model.__name__
-            logging.debug(f"intiating {name}")
-
-            mc = model()
-            mk_protocol_filename = os.path.join(mmt_dir,
-                                                'simplified-staircase.mmt')
-            mk_protocol = mk.load_protocol(mk_protocol_filename)
-
-            mk_model = mk.load_model(os.path.join(mmt_dir,
-                                                  f"model-{i}.mmt"))
-
-            sim = mk.Simulation(mk_model, mk_protocol)
-            sim.set_tolerance(1e-9, 1e-9)
-            sim.set_constant('nernst.EK', Erev)
-
-            tmax = mk_protocol.characteristic_time()
-            times = np.linspace(0, tmax, int(tmax) + 1)
-            sim.pre(1000)
-
-            log = sim.run(tmax, log_times=times, log=['ikr.IKr'])
-
-            mk_IKr = np.array(log['ikr.IKr'])
-
-            generated_mk_model = mc.generate_myokit_model()
-
-            sim = mk.Simulation(generated_mk_model, mk_protocol)
-            sim.set_tolerance(1e-9, 1e-9)
-            sim.set_constant('markov_chain.E_Kr', Erev)
-            sim.pre(1000)
-
-            log = sim.run(tmax, log_times=times, log=['markov_chain.I_Kr'])
-            gen_mk_IKr = np.array(log['markov_chain.I_Kr'])
-
-            fig = plt.figure(figsize=(12, 9))
-            fig.gca().plot(times[:-1], mk_IKr, label='original myokit simulation')
-            fig.gca().plot(times[:-1], gen_mk_IKr, label='generated myokit simulation')
-
-            fig.gca().legend()
-
-            fig.savefig(os.path.join(comparison_plot_dir,
-                                     f"{name}_myokit_comparison"))
-
-            error = np.sqrt(np.mean((gen_mk_IKr - mk_IKr)**2))
-            self.assertLess(error, 1e-2)
-
-
-if __name__ == "__main__":
-    logging.getLogger().setLevel(logging.DEBUG)
-    unittest.main()
diff --git a/setup.py b/setup.py
index ce11e52..bbfbe9d 100644
--- a/setup.py
+++ b/setup.py
@@ -55,8 +55,9 @@
         'plotly>=5.3',
         'symengine>=0.8',
         'sympy>=1.8',
-        'pyvis==0.1.9',
-        'myokit==1.33.0'
+        'pyvis>=0.1.9',
+        'myokit>=1.33.9',
+        'pygraphviz>=1.10'
     ],
     extras_require={
         'test': [

From 5310b55946095b3de6968101329f7d182f3b8677 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 11:39:03 +0100
Subject: [PATCH 09/27] Lint and isort

---
 markov_builder/MarkovChain.py | 2 +-
 tests/test_MarkovChain.py     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index fa185ed..f70a99b 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -513,7 +513,7 @@ def is_connected(self) -> bool:
     def is_reversible(self) -> bool:
         """Checks symbolically if the Markov chain is reversible for any set of non-zero
         transition rate values.
-        
+
         We assume that all transition rates are always non-zero and follow
         Colquhoun et al. (2004) https://doi.org/10.1529/biophysj.103.
 
diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index 72331b8..b1bb69b 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -24,7 +24,7 @@ def setUp(self):
 
         """
         test_output_dir = os.environ.get('MARKOVBUILDER_TEST_OUTPUT', os.path.join('test_output',
-                                         os.path.dirname(os.path.abspath(__file__)), 
+                                         os.path.dirname(os.path.abspath(__file__)),
                                          self.__class__.__name__))
 
         if not os.path.exists(test_output_dir):

From 57415dcbd75442590519741aba2df2a791fbcf90 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 11:57:01 +0100
Subject: [PATCH 10/27] Update test_parameterise_rates

---
 markov_builder/MarkovChain.py | 2 +-
 tests/test_MarkovChain.py     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index f70a99b..598e05b 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -618,7 +618,7 @@ def parameterise_rates(self, rate_dict: dict, shared_variables: dict = {}) -> No
         V is the membrane voltage (a variable shared between transition rates).
 
         :param rate_dict: A dictionary with a 2-tuple containing an expression and dummy variables for each rate.
-        :param shared_variables: A list of variables that may be shared between transition rates
+        :param shared_variables: A dictionary of variables that may be shared between transition rates
 
         """
 
diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index b1bb69b..4eef5ef 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -101,7 +101,7 @@ def test_parameterise_rates_no_default(self):
                            'k_4': negative_rate_expr,
                            }
 
-        mc.parameterise_rates(rate_dictionary, shared_variables=('V',))
+        mc.parameterise_rates(rate_dictionary, shared_variables={'V': 'V'})
 
     def test_myokit_output(self):
         """

From f199b6f5d808e1dbb94285a57e03cd5cd8b51961 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 12:04:57 +0100
Subject: [PATCH 11/27] Add test_30_models.py

---
 tests/test_30_models.py | 179 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 179 insertions(+)
 create mode 100644 tests/test_30_models.py

diff --git a/tests/test_30_models.py b/tests/test_30_models.py
new file mode 100644
index 0000000..addd323
--- /dev/null
+++ b/tests/test_30_models.py
@@ -0,0 +1,179 @@
+#!/usr/bin/env python3
+
+import itertools
+import logging
+import os
+import unittest
+
+import matplotlib.pyplot as plt
+import myokit
+import myokit as mk
+import networkx as nx
+import numpy as np
+import sympy as sp
+
+from markov_builder.models.thirty_models import (
+    model_00,
+    model_01,
+    model_02,
+    model_03,
+    model_04,
+    model_05,
+    model_06,
+    model_07,
+    model_08,
+    model_11,
+    model_30,
+)
+
+
+class TestThirtyModels(unittest.TestCase):
+
+    def setUp(self):
+        """This is run by unittest before the tests in this class are performed.
+
+        Create an output directory (if it doesn't already exist). An
+        alternative output path can be used by setting the
+        MARKOVBUILDER_TEST_OUTPUT environment variable
+
+        """
+        test_output_dir = os.environ.get('MARKOVBUILDER_TEST_OUTPUT', os.path.join(
+            'test_output', self.__class__.__name__))
+        if not os.path.exists(test_output_dir):
+            os.makedirs(test_output_dir)
+        self.output_dir = test_output_dir
+        logging.info("outputting to " + test_output_dir)
+
+        self.models = [
+            model_00,
+            model_01, model_02, model_03, model_04,
+            model_05, model_06, model_07, model_08,
+            model_11, model_30
+        ]
+
+        self.model_indices = [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 30]
+
+    def test_generate_myokit(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"initiating {name}")
+            mc = model()
+            myokit_model = mc.generate_myokit_model()
+            myokit.save(os.path.join(self.output_dir, f"{model.__name__}.mmt"), myokit_model)
+        return
+
+    def test_visualise_graphs(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"initiating {name}")
+            mc = model()
+
+            mc.draw_graph(os.path.join(self.output_dir, f"{name}_graph.html"),
+                          show_parameters=False)
+            mc.draw_graph(os.path.join(self.output_dir, f"{name}_graph_with_parameters.html"),
+                          show_parameters=True)
+
+            nx.drawing.nx_agraph.write_dot(mc.graph, os.path.join(self.output_dir,
+                                                                  "%s_dotfile.dot" % name))
+
+    def test_connected(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"initiating {name}")
+
+            mc = model()
+            self.assertTrue(mc.is_connected())
+
+    def test_reversible(self):
+        for model in self.models:
+            name = model.__name__
+            logging.debug(f"initiating {name}")
+
+            mc = model()
+            if not mc.is_reversible():
+                undirected_graph = mc.graph.to_undirected(reciprocal=False, as_view=True)
+                cycle_basis = nx.cycle_basis(undirected_graph)
+
+                for cycle in cycle_basis:
+                    iterator = list(zip(cycle, itertools.islice(cycle, 1, None)))
+                    forward_rate_list = [sp.sympify(mc.graph.get_edge_data(frm, to)['rate']) for frm, to in iterator]
+                    backward_rate_list = [sp.sympify(mc.graph.get_edge_data(frm, to)['rate']) for to, frm in iterator]
+
+                    logging.debug(mc.rate_expressions)
+
+                    # Substitute in expressions
+                    forward_rate_list = [rate.subs(mc.rate_expressions) for
+                                         rate in forward_rate_list]
+                    backward_rate_list = [rate.subs(mc.rate_expressions) for rate in
+                                          backward_rate_list]
+
+                forward_rate_product = sp.prod(forward_rate_list)
+                backward_rate_product = sp.prod(backward_rate_list)
+                if (forward_rate_product - backward_rate_product).evalf() != 0:
+                    logging.error("Rates moving forwards around the cycle are: %s", forward_rate_list)
+                    logging.error("Rates moving backwards around the cycle are: %s", backward_rate_list)
+
+            self.assertTrue(mc.is_reversible())
+
+    def test_output(self):
+        mmt_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
+                               'models_myokit')
+        Erev = -88
+
+        comparison_plot_dir = os.path.join(self.output_dir, 'comparison_plots')
+
+        if not os.path.exists(comparison_plot_dir):
+            os.makedirs(comparison_plot_dir)
+
+        for i, model in zip(self.model_indices, self.models):
+            if i is None or model is None:
+                continue
+            name = model.__name__
+            logging.debug(f"initiating {name}")
+
+            mc = model()
+            mk_protocol_filename = os.path.join(mmt_dir,
+                                                'simplified-staircase.mmt')
+            mk_protocol = mk.load_protocol(mk_protocol_filename)
+
+            mk_model = mk.load_model(os.path.join(mmt_dir,
+                                                  f"model-{i}.mmt"))
+
+            sim = mk.Simulation(mk_model, mk_protocol)
+            sim.set_tolerance(1e-9, 1e-9)
+            sim.set_constant('nernst.EK', Erev)
+
+            tmax = mk_protocol.characteristic_time()
+            times = np.linspace(0, tmax, int(tmax) + 1)
+            sim.pre(1000)
+
+            log = sim.run(tmax, log_times=times, log=['ikr.IKr'])
+
+            mk_IKr = np.array(log['ikr.IKr'])
+
+            generated_mk_model = mc.generate_myokit_model()
+
+            sim = mk.Simulation(generated_mk_model, mk_protocol)
+            sim.set_tolerance(1e-9, 1e-9)
+            sim.set_constant('markov_chain.E_Kr', Erev)
+            sim.pre(1000)
+
+            log = sim.run(tmax, log_times=times, log=['markov_chain.I_Kr'])
+            gen_mk_IKr = np.array(log['markov_chain.I_Kr'])
+
+            fig = plt.figure(figsize=(12, 9))
+            fig.gca().plot(times[:-1], mk_IKr, label='original myokit simulation')
+            fig.gca().plot(times[:-1], gen_mk_IKr, label='generated markov_builder simulation')
+
+            fig.gca().legend()
+
+            fig.savefig(os.path.join(comparison_plot_dir,
+                                     f"{name}_myokit_comparison"))
+
+            error = np.sqrt(np.mean((gen_mk_IKr - mk_IKr)**2))
+            self.assertLess(error, 1e-2)
+
+
+if __name__ == "__main__":
+    logging.getLogger().setLevel(logging.DEBUG)
+    unittest.main()

From 79f72958dbf35aeba8147059c8106bf01b8f7dac Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 13:53:42 +0100
Subject: [PATCH 12/27] Add myokit files for testing

---
 .../model_00_myokit_comparison.png            | Bin 0 -> 192672 bytes
 .../model_01_myokit_comparison.png            | Bin 0 -> 174954 bytes
 .../model_02_myokit_comparison.png            | Bin 0 -> 179771 bytes
 tests/models_myokit/model-0.mmt               |  54 ++++++++
 tests/models_myokit/model-1.mmt               |  44 ++++++
 tests/models_myokit/model-10.mmt              |  64 +++++++++
 tests/models_myokit/model-11.mmt              |  82 +++++++++++
 tests/models_myokit/model-12.mmt              |  77 +++++++++++
 tests/models_myokit/model-13.mmt              |  88 ++++++++++++
 tests/models_myokit/model-14.mmt              |  57 ++++++++
 tests/models_myokit/model-15.mmt              |  69 ++++++++++
 tests/models_myokit/model-16.mmt              |  66 +++++++++
 tests/models_myokit/model-17.mmt              |  60 +++++++++
 tests/models_myokit/model-18.mmt              |  72 ++++++++++
 tests/models_myokit/model-19.mmt              |  60 +++++++++
 tests/models_myokit/model-2.mmt               |  52 +++++++
 tests/models_myokit/model-20.mmt              |  74 ++++++++++
 tests/models_myokit/model-21.mmt              |  88 ++++++++++++
 tests/models_myokit/model-22.mmt              |  77 +++++++++++
 tests/models_myokit/model-23.mmt              | 107 +++++++++++++++
 tests/models_myokit/model-24.mmt              |  58 ++++++++
 tests/models_myokit/model-25.mmt              |  76 +++++++++++
 tests/models_myokit/model-26.mmt              |  58 ++++++++
 tests/models_myokit/model-27.mmt              |  81 +++++++++++
 tests/models_myokit/model-28.mmt              | 102 ++++++++++++++
 tests/models_myokit/model-29.mmt              |  85 ++++++++++++
 tests/models_myokit/model-3.mmt               |  57 ++++++++
 tests/models_myokit/model-30.mmt              | 127 ++++++++++++++++++
 tests/models_myokit/model-4.mmt               |  60 +++++++++
 tests/models_myokit/model-5.mmt               |  60 +++++++++
 tests/models_myokit/model-6.mmt               |  66 +++++++++
 tests/models_myokit/model-7.mmt               |  57 ++++++++
 tests/models_myokit/model-8.mmt               |  61 +++++++++
 tests/models_myokit/model-9.mmt               |  61 +++++++++
 tests/models_myokit/simplified-staircase.mmt  |  35 +++++
 35 files changed, 2235 insertions(+)
 create mode 100644 tests/models_myokit/comparison_plots/model_00_myokit_comparison.png
 create mode 100644 tests/models_myokit/comparison_plots/model_01_myokit_comparison.png
 create mode 100644 tests/models_myokit/comparison_plots/model_02_myokit_comparison.png
 create mode 100644 tests/models_myokit/model-0.mmt
 create mode 100644 tests/models_myokit/model-1.mmt
 create mode 100644 tests/models_myokit/model-10.mmt
 create mode 100644 tests/models_myokit/model-11.mmt
 create mode 100644 tests/models_myokit/model-12.mmt
 create mode 100644 tests/models_myokit/model-13.mmt
 create mode 100644 tests/models_myokit/model-14.mmt
 create mode 100644 tests/models_myokit/model-15.mmt
 create mode 100644 tests/models_myokit/model-16.mmt
 create mode 100644 tests/models_myokit/model-17.mmt
 create mode 100644 tests/models_myokit/model-18.mmt
 create mode 100644 tests/models_myokit/model-19.mmt
 create mode 100644 tests/models_myokit/model-2.mmt
 create mode 100644 tests/models_myokit/model-20.mmt
 create mode 100644 tests/models_myokit/model-21.mmt
 create mode 100644 tests/models_myokit/model-22.mmt
 create mode 100644 tests/models_myokit/model-23.mmt
 create mode 100644 tests/models_myokit/model-24.mmt
 create mode 100644 tests/models_myokit/model-25.mmt
 create mode 100644 tests/models_myokit/model-26.mmt
 create mode 100644 tests/models_myokit/model-27.mmt
 create mode 100644 tests/models_myokit/model-28.mmt
 create mode 100644 tests/models_myokit/model-29.mmt
 create mode 100644 tests/models_myokit/model-3.mmt
 create mode 100644 tests/models_myokit/model-30.mmt
 create mode 100644 tests/models_myokit/model-4.mmt
 create mode 100644 tests/models_myokit/model-5.mmt
 create mode 100644 tests/models_myokit/model-6.mmt
 create mode 100644 tests/models_myokit/model-7.mmt
 create mode 100644 tests/models_myokit/model-8.mmt
 create mode 100644 tests/models_myokit/model-9.mmt
 create mode 100644 tests/models_myokit/simplified-staircase.mmt

diff --git a/tests/models_myokit/comparison_plots/model_00_myokit_comparison.png b/tests/models_myokit/comparison_plots/model_00_myokit_comparison.png
new file mode 100644
index 0000000000000000000000000000000000000000..3fd3dbf7c486e21a082614fa9806a36cb5904c8e
GIT binary patch
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HcmV?d00001

diff --git a/tests/models_myokit/model-0.mmt b/tests/models_myokit/model-0.mmt
new file mode 100644
index 0000000..e717a94
--- /dev/null
+++ b/tests/models_myokit/model-0.mmt
@@ -0,0 +1,54 @@
+[[model]]
+name: Beattie-2017-IKr
+author: Michael Clerx
+desc: Kylie's model as imported from the Mex file
+# Initial values
+ikr.y1 = 0
+ikr.y2 = 0
+ikr.y3 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p9 * y3 * (V - nernst.EK)
+y4 = 1 - y1 - y2 - y3
+k12 = p1 * exp( p2 * V)
+k21 = p3 * exp(-p4 * V)
+k41 = p5 * exp( p6 * V)
+k14 = p7 * exp(-p8 * V)
+dot(y1) = -(k12 + k14) * y1 + k21 * y2 + k41 * y4 
+dot(y2) = -(k14 + k21) * y2 + k41 * y3 + k12 * y1 
+dot(y3) = -(k21 + k41) * y3 + k12 * y4 + k14 * y2 
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.44e-5 [1/ms]
+p4 = 0.0546 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
+
diff --git a/tests/models_myokit/model-1.mmt b/tests/models_myokit/model-1.mmt
new file mode 100644
index 0000000..39d1ce6
--- /dev/null
+++ b/tests/models_myokit/model-1.mmt
@@ -0,0 +1,44 @@
+[[model]]
+name: model-1
+author: Sanmitra Ghosh
+desc: Check associated model deifintion document
+# Initial values
+ikr.O = 0
+
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p5 * O * (V - nernst.EK)
+k12 = p1 * exp( p2 * V)
+k21 = p3 * exp(-p4 * V)
+dot(O) = k12 * (1-O) - k21*O
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+
+p5 = 0.15240 [mS/uF]
+
+n_params = 5
\ No newline at end of file
diff --git a/tests/models_myokit/model-10.mmt b/tests/models_myokit/model-10.mmt
new file mode 100644
index 0000000..bdcb019
--- /dev/null
+++ b/tests/models_myokit/model-10.mmt
@@ -0,0 +1,64 @@
+[[model]]
+name: model-10
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C1 = 0
+ikr.Om = 0
+ikr.h = 0#5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p13 * O * (V - nernst.EK)
+C2 = 1 -(Om+C1)
+O = Om*h
+a1 = p1 * exp(p2*V)
+b1 = p3 * exp(-p4*V)
+bh = p5 * exp(p6*V)
+ah = p7 * exp(-p8*V)
+a2 = p9 * exp(p10*V)
+b2 = p11 * exp(-p12*V)
+
+h_inf = ah/(ah + bh)
+tauh = 1/(ah + bh)
+
+dot(C1) = b2*Om + a1*C2 - C1*(a2 +b1)
+dot(Om) = a2*C1 - b2*Om
+dot(h) = (h_inf - h)/tauh
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.08730 [1/ms]
+p10 = 8.91e-3 [1/mV]
+p11 = 5.15e-3 [1/ms]
+p12 = 0.03158 [1/mV]
+p13 = 0.15240 [mS/uF]
+
+n_params = 13
+
diff --git a/tests/models_myokit/model-11.mmt b/tests/models_myokit/model-11.mmt
new file mode 100644
index 0000000..4f6a92a
--- /dev/null
+++ b/tests/models_myokit/model-11.mmt
@@ -0,0 +1,82 @@
+[[model]]
+name: model-11
+author: Sanmitra Ghosh
+desc: Check associated model deifintion document
+# Initial values
+ikr.C2 = 1
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+# MODEL
+#          a4       a3
+#     IC2 <==> IC1  <==>  I
+#     ||   b4*  ||   b3* || 
+#   bh||ah    bh||ah   bh||ah
+#     ||   a2   ||   a1  || 
+#     C2  <==>  C1  <==>  O
+#          b2        b1
+#
+[ikr]
+use membrane.V
+IKr = p17 * O * (V - nernst.EK)
+
+IC2 = 1 - (C1 + C2 + O + I + IC1)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+bh = p5 * exp( p6 * V)
+ah = p7 * exp(-p8 * V)
+a2 = p9 * exp( p10 * V)
+b2 = p11 * exp(-p12 * V)
+a3 = p13 * exp( p14 * V)
+b3 = (a3*b1)/a1
+a4 = p15 * exp(p16* V)
+b4 = (a4*b2)/a2
+
+dot(C2) = ah*IC2 + b2*C1 - C2*(a2 + bh)
+dot(C1) = ah*IC1 + b1*O + a2*C2 -C1*(a1+bh+b2)
+dot(O) = ah*I + a1*C1 - O*(bh+b1)
+dot(I) = bh*O + a3* IC1 - I*(ah+b3)
+dot(IC1) = b3*I + a4*IC2 + bh*C1 - IC1*(a3 + ah + b4)
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.15240 [mS/uF]
+
+n_params = 17
+
diff --git a/tests/models_myokit/model-12.mmt b/tests/models_myokit/model-12.mmt
new file mode 100644
index 0000000..4051862
--- /dev/null
+++ b/tests/models_myokit/model-12.mmt
@@ -0,0 +1,77 @@
+[[model]]
+name: model-12
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C2 = 1
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+# MODEL
+#          2am       am
+#     IC2 <==> IC1  <==>  I
+#     ||   bm   ||   2bm || 
+#  b3*||a3   b2*||a2   b1||a1
+#     ||   2am  ||   am  || 
+#     C2  <==>  C1  <==>  O
+#          bm        2bm
+#
+[ikr]
+use membrane.V
+IKr = p13 * O * (V - nernst.EK)
+
+IC2 = 1 - (C1 + C2 + O + I + IC1)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+a2 = p9 * exp( p10 * V)
+a3 = p11 * exp(p12* V)
+
+b2 = (a2*b1)/a1
+b3 = (a3*b2)/a2
+
+dot(C2) = b3*IC2 + bm*C1 - C2*(a3 + 2*am)
+dot(C1) = b2*IC1 + 2*bm*O + 2*am*C2 -C1*(am + bm + a2)
+dot(O) = b1*I + am*C1 -O*(a1+2*bm)
+dot(I) = a1*O + am* IC1 - I*(b1 + 2*bm)
+dot(IC1) = 2*bm*I + 2*am*IC2 + a2*C1 - IC1*(am + bm + b2)
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.15240 [mS/uF]
+
+n_params = 13
+
diff --git a/tests/models_myokit/model-13.mmt b/tests/models_myokit/model-13.mmt
new file mode 100644
index 0000000..08d125d
--- /dev/null
+++ b/tests/models_myokit/model-13.mmt
@@ -0,0 +1,88 @@
+[[model]]
+name: model-13
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C2 = 1
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+
+#
+[ikr]
+use membrane.V
+IKr = p25 * O * (V - nernst.EK)
+
+IC2 = 1 - (C1 + C2 + O + I + IC1)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a2 = p5 * exp( p6 * V)
+b2 = p7 * exp(-p8 * V)
+a3 = p9 * exp( p10 * V)
+b3 = p11 * exp(-p12* V)
+a4 = p13 * exp(p14*V)
+b4 = (a7*b3*b2*a4)/(a2*a3*b7)
+a5 = p15 * exp(p16*V)
+b5 = (a5*a6*b4*b1)/(a1*a4*b6)
+a6 = p17 * exp( p18 * V)
+b6 = p19 * exp( -p20 * V)
+a7 = p21 * exp( p22 * V)
+b7 = p23 * exp( -p24 * V)
+
+dot(C2) = b5*IC2 + b1*C1 - C2*(a1 + a5)
+dot(C1) = b4*IC1 + b2*O + a1*C2 -C1*(a4 + b1 + a2)
+dot(O) = b3*I + a2*C1 - O*(a3+b2)
+dot(I) = a3*O + a7* IC1 - I*(b3 + b7)
+dot(IC1) = b7*I + a6*IC2 + a4*C1 - IC1*(a7 + b4 + b6)
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 2.26e-4 [1/ms]
+p14 = 0.06990 [1/mV]
+p15 = 3.45e-5 [1/ms]
+p16 = 0.05462 [1/mV]
+p17 = 0.08730 [1/ms]
+p18 = 8.91e-3 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 2.26e-4 [1/ms]
+p22 = 0.06990 [1/mV]
+p23 = 3.45e-5 [1/ms]
+p24 = 0.05462 [1/mV]
+p25 = 0.15240 [mS/uF]
+
+n_params = 25
+
+
diff --git a/tests/models_myokit/model-14.mmt b/tests/models_myokit/model-14.mmt
new file mode 100644
index 0000000..f23ce83
--- /dev/null
+++ b/tests/models_myokit/model-14.mmt
@@ -0,0 +1,57 @@
+[[model]]
+name: model-14
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+b1 = p5 * exp( p6 * V)
+a1 = p7 * exp(-p8 * V)
+
+
+dot(C1) = 3*bm  * O + 2*am * C2 -C1*(am + 2*bm)
+dot(C2) = 2*bm * C1 + 3*am * C3 - C2*(2*am + bm)
+dot(C3) = bm * C2 - 3*am * C3
+dot(O) = a1 * I + am * C1 - O*(b1 + 3*bm)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
diff --git a/tests/models_myokit/model-15.mmt b/tests/models_myokit/model-15.mmt
new file mode 100644
index 0000000..3b121f6
--- /dev/null
+++ b/tests/models_myokit/model-15.mmt
@@ -0,0 +1,69 @@
+[[model]]
+name: model-15
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p17 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a2 = p5 * exp( p6 * V)
+b2 = p7 * exp(-p8 * V)
+a3 = p9 * exp( p10 * V)
+b3 = p11 * exp(-p12 * V)
+a4 = p13 * exp( p14 * V)
+b4 = p15 * exp(-p16 * V)
+
+
+dot(C1) = b3  * O + a2 * C2 -C1*(a3 + b2)
+dot(C2) = b2 * C1 + a1 * C3 - C2*(a2 + b1)
+dot(C3) = b1 * C2 - a1 * C3
+dot(O) = b4 * I + a3 * C1 - O*(a4 + b3)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.15240 [mS/uF]
+
+n_params = 17
diff --git a/tests/models_myokit/model-16.mmt b/tests/models_myokit/model-16.mmt
new file mode 100644
index 0000000..2489967
--- /dev/null
+++ b/tests/models_myokit/model-16.mmt
@@ -0,0 +1,66 @@
+[[model]]
+name: model-16
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Wang et al. 1997 Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p15 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3)
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a3 = p5 * exp( p6 * V)
+b3 = p7 * exp(-p8 * V)
+a4 = p9 * exp( p10 * V)
+b4 = p11 * exp(-p12 * V)
+a2 = p13 
+b2 = p14 
+
+dot(C1) = b3  * O + a2 * C2 -(a3 + b2) * C1
+dot(C2) = b2 * C1 + a1 * C3 - (a2 +b1) * C2
+dot(C3) = b1 * C2 - a1 * C3
+dot(O) = b4 * I + a3 * C1 - (a4 + b3) * O
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.08730 [1/ms]
+p10 = 8.91e-3 [1/mV]
+p11 = 5.15e-3 [1/ms]
+p12 = 0.03158 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 0.15240 [mS/uF]
+
+n_params = 15
diff --git a/tests/models_myokit/model-17.mmt b/tests/models_myokit/model-17.mmt
new file mode 100644
index 0000000..4ea03b2
--- /dev/null
+++ b/tests/models_myokit/model-17.mmt
@@ -0,0 +1,60 @@
+[[model]]
+name: model-17
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p11 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+a2 = p9 * exp(p10 * V)
+b2 = (a2*3*bm*b1)/(am*a1)
+
+dot(C3) = bm * C2 - 3*am * C3
+dot(C2) = 2*bm * C1 + 3*am * C3 - C2*(2*am + bm)
+dot(C1) = 3*bm  * O + 2*am * C2 + b2*I -C1*(am + 2*bm + a2)
+dot(O) = b1 * I + am * C1 - O*(a1 + 3*bm)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 5.15e-3 [1/ms]
+p10 = 0.03158 [1/mV]
+p11 = 0.15240 [mS/uF]
+
+n_params = 11
diff --git a/tests/models_myokit/model-18.mmt b/tests/models_myokit/model-18.mmt
new file mode 100644
index 0000000..dc12305
--- /dev/null
+++ b/tests/models_myokit/model-18.mmt
@@ -0,0 +1,72 @@
+[[model]]
+name: model-18
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p19 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a2 = p5 * exp( p6 * V)
+b2 = p7 * exp(-p8 * V)
+a3 = p9 * exp(p10 * V)
+b3 = p11 * exp(-p12 * V)
+a4 = p13 * exp(p14 * V)
+b4 = p15 * exp(-p16 * V)
+a5 = p17 * exp(p18 * V)
+b5 = (a5*b3*b4)/(a3*a4)
+
+dot(C3) = +b1*C2 - a1*C3
+dot(C2) = +b2*C1 + a1*C3 - C2*(a2 + b1)
+dot(C1) = +b3*O  + a2*C2 + b5*I - C1*(a3 + b2 + a5)
+dot(O)  = +b4*I  + a3*C1 - O*(b3 + a4)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 5.15e-3 [1/ms]
+p10 = 0.03158 [1/mV]
+p11 = 2.26e-4 [1/ms]
+p12 = 0.06990 [1/mV]
+p13 = 3.45e-5 [1/ms]
+p14 = 0.05462 [1/mV]
+p15 = 0.08730 [1/ms]
+p16 = 8.91e-3 [1/mV]
+p17 = 5.15e-3 [1/ms]
+p18 = 0.03158 [1/mV]
+p19 = 0.15240 [mS/uF]
+
+n_params = 19
diff --git a/tests/models_myokit/model-19.mmt b/tests/models_myokit/model-19.mmt
new file mode 100644
index 0000000..6fb0c19
--- /dev/null
+++ b/tests/models_myokit/model-19.mmt
@@ -0,0 +1,60 @@
+[[model]]
+name: model-19
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.m = 0#7.421666396065612e-06
+ikr.h = 0#5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+
+O = m*m*m*h
+am = p1 * exp(p2*V)
+bm = p3 * exp(-p4*V)
+bh = p5 * exp(p6*V)
+ah = p7 * exp(-p8*V)
+
+m_inf = am/(am + bm)
+taum = 1/(am + bm)
+h_inf = ah/(ah + bh)
+tauh = 1/(ah + bh)
+
+dot(m) = (m_inf - m)/taum
+dot(h) = (h_inf - h)/tauh
+
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
+
diff --git a/tests/models_myokit/model-2.mmt b/tests/models_myokit/model-2.mmt
new file mode 100644
index 0000000..10bfd09
--- /dev/null
+++ b/tests/models_myokit/model-2.mmt
@@ -0,0 +1,52 @@
+[[model]]
+name: model-2
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.O = 0
+ikr.C = 1
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+I = 1 - (O + C)
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+b = p5 * exp( p6 * V)
+a = p7 * exp(-p8 * V)
+
+dot(O) = -(bm+b)*O + am*C + a*I
+dot(C) = -am*C + bm*O
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
+
diff --git a/tests/models_myokit/model-20.mmt b/tests/models_myokit/model-20.mmt
new file mode 100644
index 0000000..87b7a20
--- /dev/null
+++ b/tests/models_myokit/model-20.mmt
@@ -0,0 +1,74 @@
+[[model]]
+name: model-20
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.Om = 0
+ikr.h = 0           #5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p17 * O * (V - nernst.EK)
+O = Om*h
+
+
+C3 = 1 - (Om + C1 + C2)
+a1 = p1 * exp(p2*V)
+b1 = p3 * exp(-p4*V)
+bh = p5 * exp(p6*V)
+ah = p7 * exp(-p8*V)
+a2 = p9 * exp(p10*V)
+b2 = p11 * exp(-p12*V)
+a3 = p13 * exp(p14*V)
+b3 = p15 * exp(-p16*V)
+
+h_inf = ah/(ah + bh)
+tauh = 1/(ah + bh)
+
+dot(C2) = b2*C1 + a1*C3 - C2*(a2 +b1)
+dot(C1) = b3*Om + a2*C2 - C1*(a3 +b2)
+dot(Om) = a3*C1 - b3*Om
+dot(h) = (h_inf - h)/tauh
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.08730 [1/ms]
+p10 = 8.91e-3 [1/mV]
+p11 = 5.15e-3 [1/ms]
+p12 = 0.03158 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.15240 [mS/uF]
+
+n_params = 17
+
diff --git a/tests/models_myokit/model-21.mmt b/tests/models_myokit/model-21.mmt
new file mode 100644
index 0000000..4e4c6eb
--- /dev/null
+++ b/tests/models_myokit/model-21.mmt
@@ -0,0 +1,88 @@
+[[model]]
+name: model-21
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+ikr.IC2 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p23 * O * (V - nernst.EK)
+
+IC3 = 1 - (C1 + C2 + C3 + O + I + IC1 + IC2)
+
+ah = p1 * exp( p2 * V)
+bh = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+a2 = p9 * exp( p10 * V)
+b2 = p11 * exp(-p12* V)
+a3 = p13 * exp( p14 * V)
+b3 = p15 * exp(-p16 * V)
+a4 = p17 * exp(p18* V)
+b4 = (a4*b1)/a1
+a5 = p19 * exp(p20 * V)
+b5 = (a5*b2)/a2
+a6 = p21 * exp(p22 * V)
+b6 = (a6*b3)/a3
+
+dot(C3) = b1*C2 + bh*IC3 - C3*(a1 + ah)
+dot(C2) = b2*C1 + a1*C3 +bh*IC2 - C2*(a2 + b1 + ah)
+dot(C1) = b3*O + a2*C2 + bh*IC1 - C1*(a3 + b2 + ah)
+dot(O) = bh*I + a3*C1 - O*(b3 + ah)
+dot(I) = ah*O + a6*IC1 - I*(bh + b6)
+dot(IC1) = b6*I + a5*IC2 + ah*C1 - IC1*(a6 + bh + b5)
+dot(IC2) = b5*IC1 + a4*IC3 + ah*C2 - IC2*(a5 + bh + b4)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.08730 [1/ms]
+p18 = 8.91e-3 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 5.15e-3 [1/ms]
+p22 = 0.03158 [1/mV]
+p23 = 0.15240 [mS/uF]
+
+n_params = 23
+
diff --git a/tests/models_myokit/model-22.mmt b/tests/models_myokit/model-22.mmt
new file mode 100644
index 0000000..4df1a60
--- /dev/null
+++ b/tests/models_myokit/model-22.mmt
@@ -0,0 +1,77 @@
+[[model]]
+name: model-22
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+ikr.IC2 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p15 * O * (V - nernst.EK)
+
+IC3 = 1 - (C1 + C2 + C3 + O + I + IC1 + IC2)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+a2 = p9 * exp( p10 * V)
+b2 = (a2*b1)/a1
+a3 = p11 * exp( p12* V)
+b3 = (a3*b2)/a2
+a4 = p13 * exp( p14 * V)
+b4 = (a4*b3)/a3
+
+dot(C3) = bm*C2 + b4*IC3 - C3*(a4 + 3*am)
+dot(C2) = 2*bm*C1 + 3*am*C3 + b3*IC2 - C2*(a3 + 2*am + bm)
+dot(C1) = 3*bm*O + 2*am*C2 + b2*IC1 - C1*(am + 2*bm + a2)
+dot(O) = b1*I + am*C1 - O*(3*bm + a1)
+dot(I) = a1*O + am*IC1 - I*(b1 + 3*bm)
+dot(IC1) = 3*bm*I + 2*am*IC2 + a2*C1 - IC1*(2*bm + am + b2)
+dot(IC2) = 2*bm*IC1 + 3*am*IC3 + a3*C2 - IC2*(2*am + b3 + bm)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 0.15240 [mS/uF]
+
+n_params = 15
+
diff --git a/tests/models_myokit/model-23.mmt b/tests/models_myokit/model-23.mmt
new file mode 100644
index 0000000..501ee72
--- /dev/null
+++ b/tests/models_myokit/model-23.mmt
@@ -0,0 +1,107 @@
+[[model]]
+name: model-23
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 1
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+ikr.IC2 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p35 * O * (V - nernst.EK)
+
+IC3 = 1 - (C1 + C2 + C3 + O + I + IC1 + IC2)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a2 = p5 * exp( p6 * V)
+b2 = p7 * exp(-p8 * V)
+a3 = p9 * exp( p10 * V)
+b3 = p11 * exp(-p12* V)
+a4 = p13 * exp( p14 * V)
+b4 = p15 * exp(-p16 * V)
+a8 = p17 * exp(p18* V)
+b8 = p19 * exp(-p20 * V)
+a9 = p21 * exp(p22* V)
+b9 = p23 * exp(-p24 * V) 
+a10 = p25 * exp(p26* V)
+b10 = p27 * exp(-p28 * V) 
+a5 = p29 * exp(p30 * V)
+b5 = (a10*a5*b4*b3)/(a3*a4*b10)
+a6 = p31 * exp(p32 * V)
+b6 = (a9*a6*b5*b2)/(a2*a5*b9)
+a7 = p33 * exp(p34 * V)
+b7 = (a8*a7*b1*b6)/(a1*a6*b8)
+
+dot(C3) = b1*C2 + b7*IC3 - C3*(a1 + a7)
+dot(C2) = b2*C1 + a1*C3 +b6*IC2 - C2*(a2 + b1 + a6)
+dot(C1) = b3*O + a2*C2 + b5*IC1 - C1*(a3 + b2 + a5)
+dot(O) = b4*I + a3*C1 - O*(b3 + a4)
+dot(I) = a4*O + a10*IC1 - I*(b4 + b10)
+dot(IC1) = b10*I + a9*IC2 + a5*C1 - IC1*(b9 + a10 + b5)
+dot(IC2) = b9*IC1 + a8*IC3 + a6*C2 - IC2*(a9 + b8 + b6)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.08730 [1/ms]
+p18 = 8.91e-3 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 0.06990 [1/mV]
+p22 = 3.45e-5 [1/ms]
+p23 = 0.05462 [1/mV]
+p24 = 0.08730 [1/ms]
+p25 = 8.91e-3 [1/mV]
+p26 = 5.15e-3 [1/ms]
+p27 = 0.03158 [1/mV]
+p28 = 0.08730 [1/ms]
+p29 = 8.91e-3 [1/mV]
+p30 = 5.15e-3 [1/ms]
+p31 = 0.03158 [1/mV]
+p32 = 5.15e-3 [1/ms]
+p33 = 0.03158 [1/mV]
+p34 = 0.03158 [1/mV]
+p35 = 0.15240 [mS/uF]
+
+n_params = 35
+
+
diff --git a/tests/models_myokit/model-24.mmt b/tests/models_myokit/model-24.mmt
new file mode 100644
index 0000000..a194f35
--- /dev/null
+++ b/tests/models_myokit/model-24.mmt
@@ -0,0 +1,58 @@
+[[model]]
+name: model-24
+author: Sanmitra Ghosh
+desc: Check associated model definition document 
+# Initial values
+ikr.C4 = 1
+ikr.C3 = 0
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3 + C4)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+
+dot(C4) = bm*C3 - 4*am*C4
+dot(C3) = 2*bm * C2 + 4*am * C4 - C3*(3*am + bm)
+dot(C2) = 3*bm * C1 + 3*am * C3 - C2*(2*am + 2*bm)
+dot(C1) = 4*bm  * O + 2*am * C2 -C1*(am + 3*bm)
+dot(O) = b1 * I + am * C1 - O*(a1 + 4*bm)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
diff --git a/tests/models_myokit/model-25.mmt b/tests/models_myokit/model-25.mmt
new file mode 100644
index 0000000..75d7287
--- /dev/null
+++ b/tests/models_myokit/model-25.mmt
@@ -0,0 +1,76 @@
+[[model]]
+name: model-25
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C4 = 1
+ikr.C3 = 0
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p21 * O * (V - nernst.EK)
+I = 1 - (O + C1 + C2 + C3 + C4)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a2 = p5 * exp( p6 * V)
+b2 = p7 * exp(-p8 * V)
+a3 = p9 * exp( p10 * V)
+b3 = p11 * exp(-p12 * V)
+a4 = p13 * exp( p14 * V)
+b4 = p15 * exp(-p16 * V)
+a5 = p17 * exp( p18 * V)
+b5 = p19 * exp(-p20 * V)
+
+dot(C4) = b1 * C3 - a1 * C4
+dot(C3) = b2 * C2 - a1 * C4 - C3*(a2 + b1)
+dot(C2) = b3 * C1 + a2 * C3 - C2*(a3 + b2)
+dot(C1) = b4 * O  + a3 * C2 - C1*(a4 + b3)
+dot(O) =  b5 * I  + a4 * C1 -  O*(a5 + b4)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 5.15e-3 [1/ms]
+p18 = 0.03158 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 0.15240 [mS/uF]
+
+n_params = 21
diff --git a/tests/models_myokit/model-26.mmt b/tests/models_myokit/model-26.mmt
new file mode 100644
index 0000000..d82f40d
--- /dev/null
+++ b/tests/models_myokit/model-26.mmt
@@ -0,0 +1,58 @@
+[[model]]
+name: model-26
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.m = 0 #7.421666396065612e-06
+ikr.h = 0 #5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+
+O = m*m*m*m*h
+am = p1 * exp(p2*V)
+bm = p3 * exp(-p4*V)
+bh = p5 * exp(p6*V)
+ah = p7 * exp(-p8*V)
+
+m_inf = am/(am + bm)
+taum = 1/(am + bm)
+h_inf = ah/(ah + bh)
+tauh = 1/(ah + bh)
+
+dot(m) = (m_inf - m)/taum
+dot(h) = (h_inf - h)/tauh
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
+
diff --git a/tests/models_myokit/model-27.mmt b/tests/models_myokit/model-27.mmt
new file mode 100644
index 0000000..17bbc4c
--- /dev/null
+++ b/tests/models_myokit/model-27.mmt
@@ -0,0 +1,81 @@
+[[model]]
+name: model-27
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C3 = 0
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.Om = 0
+ikr.h = 0           #5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p21 * O * (V - nernst.EK)
+
+O = Om*h
+C4 = 1 - (Om + C1 + C2 + C3)
+a1 = p1 * exp(p2*V)
+b1 = p3 * exp(-p4*V)
+bh = p5 * exp(p6*V)
+ah = p7 * exp(-p8*V)
+a2 = p9 * exp(p10*V)
+b2 = p11 * exp(-p12*V)
+a3 = p13 * exp(p14*V)
+b3 = p15 * exp(-p16*V)
+a4 = p17 * exp(p18*V)
+b4 = p19 * exp(-p20*V)
+
+h_inf = ah/(ah + bh)
+tauh = 1/(ah + bh)
+
+dot(C3) = b3*C2 + a4*C4 - C3*(a3 +b4)
+dot(C2) = b2*C1 + a3*C3 - C2*(a2 +b3)
+dot(C1) = b1*Om + a2*C2 - C1*(a1 +b2)
+dot(Om) = a1*C1 - b1*Om
+dot(h) = (h_inf - h)/tauh
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.08730 [1/ms]
+p10 = 8.91e-3 [1/mV]
+p11 = 5.15e-3 [1/ms]
+p12 = 0.03158 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 5.15e-3 [1/ms]
+p18 = 0.03158 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 0.15240 [mS/uF]
+
+n_params = 21
+
diff --git a/tests/models_myokit/model-28.mmt b/tests/models_myokit/model-28.mmt
new file mode 100644
index 0000000..6bfbe3d
--- /dev/null
+++ b/tests/models_myokit/model-28.mmt
@@ -0,0 +1,102 @@
+[[model]]
+name: model-28
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C4 = 1
+ikr.C3 = 0
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+ikr.IC2 = 0
+ikr.IC3 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p29 * O * (V - nernst.EK)
+
+IC4 = 1 - (C1 + C2 + C3 + C4 + O + I + IC1 + IC2 + IC3)
+
+bh = p1 * exp( p2 * V)
+ah = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+a2 = p9 * exp( p10 * V)
+b2 = p11 * exp(-p12* V)
+a3 = p13 * exp( p14 * V)
+b3 = p15 * exp(-p16 * V)
+a4 = p17 * exp(p18* V)
+b4 = (a4*b1)/a1
+a5 = p19 * exp(p20 * V)
+b5 = (a5*b2)/a2
+a6 = p21 * exp(p22 * V)
+b6 = (a6*b3)/a3
+a7 = p23 * exp(p24 * V)
+b7 = p25 * exp(-p26 * V)
+a8 = p27 * exp(p28 * V)
+b8 = (a8*b7)/a7
+
+dot(C4) = ah*IC4 +b7*C3 - C4*(a7+bh)
+dot(C3) = b1*C2 + ah*IC3 + a7*C4 - C3*(a1 + bh + b7)
+dot(C2) = b2*C1 + a1*C3 +ah*IC2 - C2*(a2 + b1 + bh)
+dot(C1) = b3*O + a2*C2 + ah*IC1 - C1*(a3 + b2 + bh)
+dot(O) = ah*I + a3*C1 - O*(b3 + bh)
+dot(I) = bh*O + a6*IC1 - I*(ah + b6)
+dot(IC1) = b6*I + a5*IC2 + ah*C1 - IC1*(a6 + ah + b5)
+dot(IC2) = b5*IC1 + a4*IC3 + ah*C2 - IC2*(a5 + ah + b4)
+dot(IC3) = a8*IC4 + bh*C3 + b4*IC2 - IC3*(ah + a4 + b8)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.08730 [1/ms]
+p18 = 8.91e-3 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 5.15e-3 [1/ms]
+p22 = 0.03158 [1/mV]
+p23 = 5.15e-3 [1/ms]
+p24 = 0.03158 [1/mV]
+p25 = 5.15e-3 [1/ms]
+p26 = 0.03158 [1/mV]
+p27 = 5.15e-3 [1/ms]
+p28 = 0.03158 [1/mV]
+p29 = 0.15240 [mS/uF]
+
+n_params = 29
+
diff --git a/tests/models_myokit/model-29.mmt b/tests/models_myokit/model-29.mmt
new file mode 100644
index 0000000..d0f582c
--- /dev/null
+++ b/tests/models_myokit/model-29.mmt
@@ -0,0 +1,85 @@
+[[model]]
+name: model-29
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C4 = 1
+ikr.C3 = 0
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+ikr.IC2 = 0
+ikr.IC3 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p17 * O * (V - nernst.EK)
+
+IC4 = 1 - (C1 + C2 + C3 + C4 + O + I + IC1 + IC2 + IC3)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+a2 = p9 * exp( p10 * V)
+b2 = (a2*b1)/a1
+a3 = p11 * exp( p12* V)
+b3 = (a3*b2)/a2
+a4 = p13 * exp( p14 * V)
+b4 = (a4*b3)/a3
+a5 = p15 * exp( p16 * V)
+b5 = (a5*b4)/a4
+
+dot(C4) = bm*C3 + b5*IC4 - C4*(4*am+a5) 
+dot(C3) = 2*bm*C2 + 4*am*C4 + b4*IC3 - C3*(a4 + 3*am - bm)
+dot(C2) = 3*bm*C1 + 3*am*C3 + b3*IC2 - C2*(a3 + 2*am + 2*bm)
+dot(C1) = 4*bm*O + 2*am*C2 + b2*IC1 - C1*(am + 3*bm + a2)
+dot(O) = b1*I + am*C1 - O*(4*bm + a1)
+dot(I) = a1*O + am*IC1 - I*(b1 + 4*bm)
+dot(IC1) = 4*bm*I + 2*am*IC2 + a2*C1 - IC1*(3*bm + am + b2)
+dot(IC2) = 3*bm*IC1 + 3*am*IC3 + a3*C2 - IC2*(2*am + b3 + 2*bm)
+dot(IC3) = 2*bm*IC2 + 4*am*IC4 + a4*C3 - IC3*(3*am + b4 + bm)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 0.08730 [1/ms]
+p16 = 8.91e-3 [1/mV]
+p17 = 0.15240 [mS/uF]
+
+n_params = 17
+
diff --git a/tests/models_myokit/model-3.mmt b/tests/models_myokit/model-3.mmt
new file mode 100644
index 0000000..fd7ead2
--- /dev/null
+++ b/tests/models_myokit/model-3.mmt
@@ -0,0 +1,57 @@
+[[model]]
+name: model-3
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.m = 0#7.421666396065612e-06
+ikr.h = 0#5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -88 [mV]
+
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+
+am = p1 * exp(p2*V)
+bm = p3 * exp(-p4*V)
+ah = p5 * exp(p6*V)
+bh = p7 * exp(-p8*V)
+
+m_inf = am/(am + bm)
+taum = 1/(am + bm)
+h_inf = bh/(ah + bh)
+tauh = 1/(ah + bh)
+
+O = m*h
+
+dot(m) = (m_inf - m)/taum
+dot(h) = (h_inf - h)/tauh
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
+
diff --git a/tests/models_myokit/model-30.mmt b/tests/models_myokit/model-30.mmt
new file mode 100644
index 0000000..b7f0036
--- /dev/null
+++ b/tests/models_myokit/model-30.mmt
@@ -0,0 +1,127 @@
+[[model]]
+name: model-30
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C4 = 1
+ikr.C3 = 0
+ikr.C2 = 0
+ikr.C1 = 0
+ikr.O = 0
+ikr.I = 0
+ikr.IC1 = 0
+ikr.IC2 = 0
+ikr.IC3 = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p45 * O * (V - nernst.EK)
+
+IC4 = 1 - (C1 + C2 + C3 + C4 + O + I + IC1 + IC2 + IC3)
+
+a1 = p1 * exp( p2 * V)
+b1 = p3 * exp(-p4 * V)
+a2 = p5 * exp( p6 * V)
+b2 = p7 * exp(-p8 * V)
+a3 = p9 * exp( p10 * V)
+b3 = p11 * exp(-p12* V)
+a4 = p13 * exp( p14 * V)
+b4 = p15 * exp(-p16 * V)
+a8 = p17 * exp(p18* V)
+b8 = p19 * exp(-p20 * V)
+a9 = p21 * exp(p22* V)
+b9 = p23 * exp(-p24 * V) 
+a10 = p25 * exp(p26* V)
+b10 = p27 * exp(-p28 * V) 
+a5 = p29 * exp(p30 * V)
+b5 = (a10*a5*b4*b3)/(a3*a4*b10)
+a6 = p31 * exp(p32 * V)
+b6 = (a9*a6*b5*b2)/(a2*a5*b9)
+a7 = p33 * exp(p34 * V)
+b7 = (a8*a7*b1*b6)/(a1*a6*b8)
+a11 = p35 * exp(p36* V)
+b11 = p37 * exp(-p38 * V) 
+a12 = p39 * exp(p40* V)
+b12 = p41 * exp(-p42 * V) 
+a13 = p43 * exp(p44 * V)
+b13 = (a13*a11*b7*b12)/(a12*a7*b11)
+
+dot(C4) = b13*IC4 + b12*C3 - C4*(a13+a12)
+dot(C3) = b1*C2 + a12*C4 + b7*IC3 - C3*(a1 + a7 + b12)
+dot(C2) = b2*C1 + a1*C3  + b6*IC2 - C2*(a2 + b1 + a6)
+dot(C1) = b3*O  + a2*C2  + b5*IC1 - C1*(a3 + b2 + a5)
+dot(O) = b4*I + a3*C1 - O*(b3 + a4)
+dot(I) = a4*O + a10*IC1 - I*(b4 + b10)
+dot(IC1) = b10*I + a9*IC2 + a5*C1 - IC1*(b9 + a10 + b5)
+dot(IC2) = b9*IC1 + a8*IC3 + a6*C2 - IC2*(a9 + b8 + b6)
+dot(IC3) = b8*IC2 + a11*IC4 + a7*C3 - IC3*(a8 + b7 + b11)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 2.26e-4 [1/ms]
+p10 = 0.06990 [1/mV]
+p11 = 3.45e-5 [1/ms]
+p12 = 0.05462 [1/mV]
+p13 = 0.08730 [1/ms]
+p14 = 8.91e-3 [1/mV]
+p15 = 5.15e-3 [1/ms]
+p16 = 0.03158 [1/mV]
+p17 = 0.08730 [1/ms]
+p18 = 8.91e-3 [1/mV]
+p19 = 5.15e-3 [1/ms]
+p20 = 0.03158 [1/mV]
+p21 = 0.06990 [1/mV]
+p22 = 3.45e-5 [1/ms]
+p23 = 0.05462 [1/mV]
+p24 = 0.08730 [1/ms]
+p25 = 8.91e-3 [1/mV]
+p26 = 5.15e-3 [1/ms]
+p27 = 0.03158 [1/mV]
+p28 = 0.08730 [1/ms]
+p29 = 8.91e-3 [1/mV]
+p30 = 5.15e-3 [1/ms]
+p31 = 0.03158 [1/mV]
+p32 = 5.15e-3 [1/ms]
+p33 = 0.03158 [1/mV]
+p34 = 0.03158 [1/mV]
+p35 = 8.91e-3 [1/mV]
+p36 = 5.15e-3 [1/ms]
+p37 = 0.03158 [1/mV]
+p38 = 0.08730 [1/ms]
+p39 = 8.91e-3 [1/mV]
+p40 = 5.15e-3 [1/ms]
+p41 = 0.03158 [1/mV]
+p42 = 5.15e-3 [1/ms]
+p43 = 0.03158 [1/mV]
+p44 = 0.03158 [1/mV]
+p45 = 0.15240 [mS/uF]
+
+n_params = 45
+
+
diff --git a/tests/models_myokit/model-4.mmt b/tests/models_myokit/model-4.mmt
new file mode 100644
index 0000000..f289199
--- /dev/null
+++ b/tests/models_myokit/model-4.mmt
@@ -0,0 +1,60 @@
+[[model]]
+name: model-4
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C = 1
+ikr.O = 0
+ikr.I = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p11 * O * (V - nernst.EK)
+IC = 1 - (I + O + C)
+
+a1 = p1 * exp(p2*V)
+b1 = p3 * exp(-p4*V)
+a4 = p5 * exp(p6*V)
+b4 = p7 * exp(-p8*V)
+a3 = p9 * exp(-p10*V)
+b3 = (a3*a1)/b1
+
+
+dot(C) = b1*O + b4*IC - C*(a1+a4)
+dot(O) = a1*C + b4*I - O*(a4+b1)
+dot(I) = a4*O + b3*IC -I*(b4 + a3)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 5.15e-3 [1/ms]
+p10 = 0.03158 [1/mV]
+p11 = 0.15240 [mS/uF]
+
+n_params = 11
+
diff --git a/tests/models_myokit/model-5.mmt b/tests/models_myokit/model-5.mmt
new file mode 100644
index 0000000..9820657
--- /dev/null
+++ b/tests/models_myokit/model-5.mmt
@@ -0,0 +1,60 @@
+[[model]]
+name: model-5
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.C = 1
+ikr.O = 0
+ikr.I = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+#
+[ikr]
+use membrane.V
+IKr = p11 * O * (V - nernst.EK)
+IC = 1 - (I + O + C)
+
+am = p1 * exp(p2*V)
+bm = p3 * exp(-p4*V)
+b1 = p5 * exp(p6*V)
+a1 = p7 * exp(-p8*V)
+b2 = p9 * exp(p10*V)
+a2 = (b2*a1)/b1
+
+dot(C) = bm*O + a2*IC - C*(am+b2)
+dot(O) = a1*I + am*C - O*(bm+b1)
+dot(I) = b1*O + am*IC -I*(a1 + bm)
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 5.15e-3 [1/ms]
+p10 = 0.03158 [1/mV]
+p11 = 0.15240 [mS/uF]
+
+n_params = 11
+
diff --git a/tests/models_myokit/model-6.mmt b/tests/models_myokit/model-6.mmt
new file mode 100644
index 0000000..9b8c069
--- /dev/null
+++ b/tests/models_myokit/model-6.mmt
@@ -0,0 +1,66 @@
+[[model]]
+name: model-6
+author: Sanmitra Ghosh
+desc: Check associated model deifintion document
+# Initial values
+ikr.C = 1
+ikr.O = 0
+ikr.I = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membane potential
+    in [mV]
+
+[nernst]
+EK = -88 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p15 * O * (V - nernst.EK)
+IC = 1 - (I + O + C)
+
+b1 = p1 * exp(p2*V)
+a1 = p3 * exp(-p4*V)
+a2 = p5 * exp(p6*V)
+b2 = p7 * exp(-p8*V)
+b3 = p9 * exp(p10*V)
+a3 = p11* exp(-p12*V)
+a4 = p13* exp(p14*V)
+b4 = (b3*b2*a1*a4)/(b1*a2*a3)
+
+dot(C) = a1*O + b4*IC - C*(b1+a4)
+dot(O) = b1*C + b2*I - O*(a2+a1)
+dot(I) = a2*O + b3*IC -I*(b2 + a3)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 5.15e-3 [1/ms]
+p10 = 0.03158 [1/mV]
+p11 = 5.15e-3 [1/ms]
+p12 = 0.03158 [1/mV]
+p13 = 5.15e-3 [1/ms]
+p14 = 0.03158 [1/mV]
+p15 = 0.15240 [mS/uF]
+
+n_params = 15
+
diff --git a/tests/models_myokit/model-7.mmt b/tests/models_myokit/model-7.mmt
new file mode 100644
index 0000000..7e4e9fc
--- /dev/null
+++ b/tests/models_myokit/model-7.mmt
@@ -0,0 +1,57 @@
+[[model]]
+name: model-7
+author: Sanmitra Ghosh
+desc: Check associated model defintion document
+# Initial values
+ikr.C2 = 1
+ikr.C1 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -88 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+
+I = 1 - (C1 + C2 + O)
+
+am = p1 * exp( p2 * V)
+bm = p3 * exp(-p4 * V)
+a1 = p5 * exp( p6 * V)
+b1 = p7 * exp(-p8 * V)
+
+
+dot(C2) = bm*C1 - 2*am*C2
+dot(C1) = 2*am*C2 + 2*bm*O - C1*(bm+am)
+dot(O) = am*C1 + b1*I -O*(a1 + 2*bm)
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params =9
diff --git a/tests/models_myokit/model-8.mmt b/tests/models_myokit/model-8.mmt
new file mode 100644
index 0000000..dc014b2
--- /dev/null
+++ b/tests/models_myokit/model-8.mmt
@@ -0,0 +1,61 @@
+[[model]]
+name: model-8
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.y1 = 1
+ikr.y2 = 0
+ikr.O = 0
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p13 * O * (V - nernst.EK)
+y4 = 1 - (y1 + y2 + O)
+k12 = p1 * exp( p2 * V)
+k21 = p3 * exp(-p4 * V)
+k34 = p5 * exp( p6 * V)
+k43 = p7 * exp(-p8 * V)
+k56 = p9 * exp( p10 * V)
+k65 = p11 * exp(-p12 * V)
+
+dot(y1) = -k12 * y1 + k21 * y2
+dot(y2) = -(k21 + k34) * y2 + k12 * y1 + k43 * O
+dot(O) = -(k43 + k56) * O + k34 * y2 + k65 * y4
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.08730 [1/ms]
+p10 = 8.91e-3 [1/mV]
+p11 = 5.15e-3 [1/ms]
+p12 = 0.03158 [1/mV]
+p13 = 0.15240 [mS/uF]
+
+
+n_params = 13
diff --git a/tests/models_myokit/model-9.mmt b/tests/models_myokit/model-9.mmt
new file mode 100644
index 0000000..6d95851
--- /dev/null
+++ b/tests/models_myokit/model-9.mmt
@@ -0,0 +1,61 @@
+[[model]]
+name: model-9
+author: Sanmitra Ghosh
+desc: Check associated model definition document
+# Initial values
+ikr.m = 0#7.421666396065612e-06
+ikr.h = 0#5.202995292628385e-06
+
+#
+# Simulation engine variables
+#
+[engine]
+time = 0 bind time
+pace = 0 bind pace
+
+#
+# Membrane potential
+#
+[membrane]
+V = engine.pace
+    desc: membrane potential
+    in [mV]
+
+[nernst]
+EK = -85 [mV]
+
+#
+# Model from Kylie's mex file (HH)
+#
+[ikr]
+use membrane.V
+IKr = p9 * O * (V - nernst.EK)
+
+O = m*m*h
+am = p1 * exp(p2*V)
+bm = p3 * exp(-p4*V)
+bh = p5 * exp(p6*V)
+ah = p7 * exp(-p8*V)
+
+m_inf = am/(am + bm)
+taum = 1/(am + bm)
+h_inf = ah/(ah + bh)
+tauh = 1/(ah + bh)
+
+dot(m) = (m_inf - m)/taum
+dot(h) = (h_inf - h)/tauh
+
+
+
+p1 = 2.26e-4 [1/ms]
+p2 = 0.06990 [1/mV]
+p3 = 3.45e-5 [1/ms]
+p4 = 0.05462 [1/mV]
+p5 = 0.08730 [1/ms]
+p6 = 8.91e-3 [1/mV]
+p7 = 5.15e-3 [1/ms]
+p8 = 0.03158 [1/mV]
+p9 = 0.15240 [mS/uF]
+
+n_params = 9
+
diff --git a/tests/models_myokit/simplified-staircase.mmt b/tests/models_myokit/simplified-staircase.mmt
new file mode 100644
index 0000000..f15b398
--- /dev/null
+++ b/tests/models_myokit/simplified-staircase.mmt
@@ -0,0 +1,35 @@
+[[protocol]]
+# V     start   duration period repeats
+-80     0       250     0       0
+-120    next    50      0       0
+-120    next    400     0       0
+-80     next    200     0       0
+40      next    1000    0       0
+-120    next    500     0       0
+-80     next    1000    0       0
+-40     next    500     0       0
+-60     next    500     0       0
+-20     next    500     0       0
+-40     next    500     0       0
+0       next    500     0       0
+-20     next    500     0       0
+20      next    500     0       0
+0       next    500     0       0
+40      next    500     0       0
+20      next    500     0       0
+40      next    500     0       0
+0       next    500     0       0
+20      next    500     0       0
+-20     next    500     0       0
+0       next    500     0       0
+-40     next    500     0       0
+-20     next    500     0       0
+-60     next    500     0       0
+-40     next    500     0       0
+-80     next    1000    0       0
+40      next    500     0       0
+-70     next    10      0       0
+-70     next    100     0       0
+-120    next    390     0       0
+-80     next    500     0       0
+

From 7e21caf721468fc53853e3319fc84729d51373f9 Mon Sep 17 00:00:00 2001
From: joeyshuttleworth <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 14:00:03 +0100
Subject: [PATCH 13/27] Update pytest.yml

Add sundials install to workflow
---
 .github/workflows/pytest.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 3a48ace..a85d322 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -24,6 +24,7 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
+        apt-get install libsundials-dev
         python -m pip install .[test]
     - name: Lint with flake8
       run: |

From 0afb97bcf91c7a6ebabac484883f5399ace9cb86 Mon Sep 17 00:00:00 2001
From: joeyshuttleworth <pmyjgs@nottingham.ac.uk>
Date: Wed, 3 May 2023 14:09:17 +0100
Subject: [PATCH 14/27] Update pytest.yml

---
 .github/workflows/pytest.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index a85d322..02614f2 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -23,8 +23,8 @@ jobs:
         python-version: ${{ matrix.python-version }}
     - name: Install dependencies
       run: |
+        sudo apt-get install libsundials-dev -y
         python -m pip install --upgrade pip
-        apt-get install libsundials-dev
         python -m pip install .[test]
     - name: Lint with flake8
       run: |

From bc4c4c95647de36a25c555ceeb61f2f24cfa0279 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 13:00:33 +0100
Subject: [PATCH 15/27] Make single quote use more consistent

---
 markov_builder/MarkovChain.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 598e05b..1ebf4bc 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -267,9 +267,9 @@ def get_transition_matrix(self, use_parameters: bool = False,
                 else:
                     edge = self.graph.get_edge_data(current_state, incident_state)
                     if edge is not None:
-                        rate = edge["rate"]
+                        rate = edge['rate']
                         if isinstance(rate, str):
-                            row.append(edge["rate"])
+                            row.append(edge['rate'])
                         else:
                             row.append(edge['rate'][0])
                     else:

From 2d6c990745cb2fe4d31c967e712f9746fd247219 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 13:01:23 +0100
Subject: [PATCH 16/27] Fix indentation. Distribute trajectories according to
 number of trajectories

---
 markov_builder/MarkovChain.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 1ebf4bc..4408393 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -429,11 +429,14 @@ def sample_trajectories(self, no_trajectories: int, time_range: list = [0, 1],
         else:
             param_dict = self.default_values
 
-            if starting_distribution is None:
-                starting_distribution = np.around(np.array([no_trajectories] * no_nodes) / no_nodes)
-                starting_distribution[0] += no_trajectories - starting_distribution.sum()
+        if starting_distribution is None:
+            # If there is no user specified starting_distribution, create one
+            starting_distribution = np.around(np.array([no_trajectories] * no_nodes) / no_nodes)
+            starting_distribution[0] += no_trajectories - starting_distribution.sum()
+        else:
+            starting_distribution = np.array(starting_distribution)
 
-        distribution = starting_distribution
+        distribution = np.around(starting_distribution * no_trajectories / starting_distribution.sum())
 
         labels, mean_waiting_times, e_chain = self.get_embedded_chain(param_dict)
 

From 17027f43f2a6968ac8b6403c685beb9a5d82cade Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 13:03:41 +0100
Subject: [PATCH 17/27] Fix sympy depreciation warning (latex output)

---
 markov_builder/MarkovChain.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 4408393..ec29d1b 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -492,8 +492,8 @@ def get_equilibrium_distribution(self, param_dict: dict = None) -> Tuple[List[st
             ss = -np.array(A.LUsolve(B).evalf(subs=param_dict)).astype(np.float64)
 
         except TypeError as exc:
-            logging.warning("Couldn't evaluate equilibrium distribution as float."
-                            "Is every parameter defined?"
+            logging.warning("Error evaluating equilibrium distribution "
+                            f"A={A}\nB={B}\nparams={param_dict}\n"
                             "%s" % str(exc))
             raise exc
 
@@ -897,7 +897,9 @@ def as_latex(self, state_to_remove: str = None, include_auxiliary_expression: bo
             if column_vector:
                 matrix_str = str(sp.latex(Q.T))
                 eqn = r'\begin{equation}\dfrac{dX}{dt} =  %s X \\end{equation}' % matrix_str
-                X_defn = r'\begin{equation} %s \end{equation}' % sp.latex(sp.Matrix(label_order))
+
+                x_vars = [[sp.sympify(self.get_state_symbol(label))] for label in label_order]
+                X_defn = r'\begin{equation} %s \end{equation}' % sp.latex(sp.Matrix(x_vars))
 
             else:
                 matrix_str = str(sp.latex(Q))

From fe4f33352decd5fa64b35e3e0b0aecface412f28 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 13:05:20 +0100
Subject: [PATCH 18/27] Add test for dataclass exception (must be subclass of
 state_attributes_class)

---
 tests/test_MarkovChain.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index 4eef5ef..044dcbc 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -3,6 +3,7 @@
 import logging
 import os
 import unittest
+from dataclasses import dataclass
 
 import matplotlib.pyplot as plt
 import myokit
@@ -10,6 +11,7 @@
 import sympy as sp
 
 import markov_builder.example_models as example_models
+import markov_builder.MarkovChain as MarkovChain
 from markov_builder.rate_expressions import negative_rate_expr, positive_rate_expr
 
 
@@ -227,6 +229,15 @@ def test_equate_rates(self):
         # Check reversibility still holds for good measure
         self.assertTrue(mc.is_reversible())
 
+    def test_bad_dataclass_exception(self):
+
+        @dataclass
+        class SomeDataClass:
+            foo: str = 'bar'
+
+        self.assertRaises(Exception, MarkovChain,
+                          kws={'state_attributes_class': SomeDataClass})
+
     def test_latex_printing(self):
         """ Test that we can generate LaTeX expressions for a model
 

From b6ef7dad01ba537e52ad67dab9898a142478aa1e Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 13:31:05 +0100
Subject: [PATCH 19/27] Raise TypeError not Exception

---
 markov_builder/MarkovChain.py | 2 +-
 tests/test_MarkovChain.py     | 3 +--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index ec29d1b..3b3167c 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -53,7 +53,7 @@ def __init__(self, states: list = [], state_attributes_class:
         self.auxiliary_variable = 'auxiliary_expression'
 
         if not issubclass(self.state_attributes_class, MarkovStateAttributes):
-            raise Exception("state_attributes_class must be a subclass of MarkovStateAttributes")
+            raise TypeError("state_attributes_class must be a subclass of MarkovStateAttributes")
 
         if states:
             for state in states:
diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index 044dcbc..159ffac 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -230,12 +230,11 @@ def test_equate_rates(self):
         self.assertTrue(mc.is_reversible())
 
     def test_bad_dataclass_exception(self):
-
         @dataclass
         class SomeDataClass:
             foo: str = 'bar'
 
-        self.assertRaises(Exception, MarkovChain,
+        self.assertRaises(TypeError, MarkovChain,
                           kws={'state_attributes_class': SomeDataClass})
 
     def test_latex_printing(self):

From 215898f7a964140c03a92f005cef5d4c7efe58b4 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 13:34:44 +0100
Subject: [PATCH 20/27] Remove old, broken test output

---
 .../model_00_myokit_comparison.png             | Bin 192672 -> 0 bytes
 .../model_01_myokit_comparison.png             | Bin 174954 -> 0 bytes
 .../model_02_myokit_comparison.png             | Bin 179771 -> 0 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 tests/models_myokit/comparison_plots/model_00_myokit_comparison.png
 delete mode 100644 tests/models_myokit/comparison_plots/model_01_myokit_comparison.png
 delete mode 100644 tests/models_myokit/comparison_plots/model_02_myokit_comparison.png

diff --git a/tests/models_myokit/comparison_plots/model_00_myokit_comparison.png b/tests/models_myokit/comparison_plots/model_00_myokit_comparison.png
deleted file mode 100644
index 3fd3dbf7c486e21a082614fa9806a36cb5904c8e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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From de33024cfb5ba792d5fdcd741cb9726e972e3980 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 14:39:46 +0100
Subject: [PATCH 21/27] Fix test_bad_dataclass_exception

---
 tests/test_MarkovChain.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index 159ffac..e954d1b 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -234,8 +234,8 @@ def test_bad_dataclass_exception(self):
         class SomeDataClass:
             foo: str = 'bar'
 
-        self.assertRaises(TypeError, MarkovChain,
-                          kws={'state_attributes_class': SomeDataClass})
+        kws = {'state_attributes_class': SomeDataClass}
+        self.assertRaises(TypeError, lambda x: MarkovChain(**kws))
 
     def test_latex_printing(self):
         """ Test that we can generate LaTeX expressions for a model

From 4d862208c02913adaf3765f1bf6f7579a0c1653c Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 15:06:41 +0100
Subject: [PATCH 22/27] Remove unnecessary checks on attribute dataclass

---
 markov_builder/MarkovChain.py | 3 ---
 tests/test_MarkovChain.py     | 8 --------
 2 files changed, 11 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 3b3167c..7f05871 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -52,9 +52,6 @@ def __init__(self, states: list = [], state_attributes_class:
         self.reserved_names = []
         self.auxiliary_variable = 'auxiliary_expression'
 
-        if not issubclass(self.state_attributes_class, MarkovStateAttributes):
-            raise TypeError("state_attributes_class must be a subclass of MarkovStateAttributes")
-
         if states:
             for state in states:
                 self.add_state(state)
diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index e954d1b..b2e9ddf 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -229,14 +229,6 @@ def test_equate_rates(self):
         # Check reversibility still holds for good measure
         self.assertTrue(mc.is_reversible())
 
-    def test_bad_dataclass_exception(self):
-        @dataclass
-        class SomeDataClass:
-            foo: str = 'bar'
-
-        kws = {'state_attributes_class': SomeDataClass}
-        self.assertRaises(TypeError, lambda x: MarkovChain(**kws))
-
     def test_latex_printing(self):
         """ Test that we can generate LaTeX expressions for a model
 

From fef0edfa185a4ef8c2bc7d63be9e4532483bff41 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 15:11:57 +0100
Subject: [PATCH 23/27] Lint

---
 tests/test_MarkovChain.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/tests/test_MarkovChain.py b/tests/test_MarkovChain.py
index b2e9ddf..4eef5ef 100644
--- a/tests/test_MarkovChain.py
+++ b/tests/test_MarkovChain.py
@@ -3,7 +3,6 @@
 import logging
 import os
 import unittest
-from dataclasses import dataclass
 
 import matplotlib.pyplot as plt
 import myokit
@@ -11,7 +10,6 @@
 import sympy as sp
 
 import markov_builder.example_models as example_models
-import markov_builder.MarkovChain as MarkovChain
 from markov_builder.rate_expressions import negative_rate_expr, positive_rate_expr
 
 

From f1e03cb77647af6a96a6b115fb1384bff0e1cb58 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Tue, 13 Jun 2023 19:04:43 +0100
Subject: [PATCH 24/27] Add models

---
 .../models/thirty_models/__init__.py          |  6 +-
 .../models/thirty_models/model12.py           | 61 +++++++++++++++
 .../models/thirty_models/model13.py           | 78 +++++++++++++++++++
 .../models/thirty_models/model14.py           | 49 ++++++++++++
 tests/test_30_models.py                       |  8 +-
 5 files changed, 199 insertions(+), 3 deletions(-)
 create mode 100644 markov_builder/models/thirty_models/model12.py
 create mode 100644 markov_builder/models/thirty_models/model13.py
 create mode 100644 markov_builder/models/thirty_models/model14.py

diff --git a/markov_builder/models/thirty_models/__init__.py b/markov_builder/models/thirty_models/__init__.py
index 633b8c5..8c83ef1 100644
--- a/markov_builder/models/thirty_models/__init__.py
+++ b/markov_builder/models/thirty_models/__init__.py
@@ -8,8 +8,12 @@
 from .model7 import model_07
 from .model8 import model_08
 from .model11 import model_11
+from .model12 import model_12
+from .model13 import model_13
+from .model14 import model_14
 from .model30 import model_30
 
 
 __all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04',
-           'model_05', 'model_06', 'model_07', 'model_08', 'model_11', 'model_30']
+           'model_05', 'model_06', 'model_07', 'model_08', 'model_11',
+           'model_12', 'model_13', 'model_30']
diff --git a/markov_builder/models/thirty_models/model12.py b/markov_builder/models/thirty_models/model12.py
new file mode 100644
index 0000000..78057c9
--- /dev/null
+++ b/markov_builder/models/thirty_models/model12.py
@@ -0,0 +1,61 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_12(MarkovChain):
+    description = ""
+    states = ('O', 'I', 'IC1', 'IC2', 'C2', 'C1')
+    rates = [
+        ('O', 'I', 'a1', 'b1'),
+        ('C1', 'O', 'am', '2*bm'),
+        ('IC1', 'I', 'am', '2*bm'),
+        ('IC2', 'IC1', '2*am', 'bm'),
+        ('C2', 'C1', '2*am', 'bm'),
+        ('C2', 'IC2', 'a3', 'b3'),
+        ('C1', 'IC1', 'a2', 'b2')
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 2.26e-4,
+                             'p10': 0.06990,
+                             'p11': 3.45e-5,
+                             'p12': 0.05462,
+                             'p13': 0.15240
+                             }
+
+    rate_dictionary = {
+        'am': ('p1 * exp( p2 * V)',),
+        'bm': ('p3 * exp(-p4 * V)',),
+        'a1': ('p5 * exp( p6 * V)',),
+        'b1': ('p7 * exp(-p8 * V)',),
+        'a2': ('p9 * exp( p10 * V)',),
+        'a3': ('p11 * exp( p12 * V)',),
+
+        'b2': ('a2 * b1 / a1',),
+        'b3': ('a3 * b2 / a2',),
+    }
+
+    auxiliary_expression = "p13 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -85}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model13.py b/markov_builder/models/thirty_models/model13.py
new file mode 100644
index 0000000..ee1ba2b
--- /dev/null
+++ b/markov_builder/models/thirty_models/model13.py
@@ -0,0 +1,78 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_13(MarkovChain):
+    description = ""
+    states = ('O', 'I', 'IC1', 'IC2', 'C2', 'C1')
+    rates = [
+        ('O', 'I', 'a3', 'b3'),
+        ('C1', 'O', 'a2', 'b2'),
+        ('IC1', 'I', 'a7', 'b7'),
+        ('IC2', 'IC1', 'a6', 'b6'),
+        ('C2', 'C1', 'a1', 'b1'),
+        ('C2', 'IC2', 'a5', 'b5'),
+        ('C1', 'IC1', 'a4', 'b4')
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 2.26e-4,
+                             'p10': 0.06990,
+                             'p11': 3.45e-5,
+                             'p12': 0.05462,
+                             'p13': 2.26e-4,
+                             'p14': 0.06990,
+                             'p15': 3.45e-5,
+                             'p16': 0.05462,
+                             'p17': 0.08730,
+                             'p18': 8.91e-3,
+                             'p19': 5.15e-3,
+                             'p20': 0.03158,
+                             'p21': 2.26e-4,
+                             'p22': 0.06990,
+                             'p23': 3.45e-5,
+                             'p24': 0.05462,
+                             'p25': 0.15240,
+                             }
+
+    rate_dictionary = {
+        'a1': ('p1 * exp( p2 * V)',),
+        'b1': ('p3 * exp(-p4 * V)',),
+        'a2': ('p5 * exp( p6 * V)',),
+        'b2': ('p7 * exp(-p8 * V)',),
+        'a3': ('p9 * exp( p10 * V)',),
+        'b3': ('p11 * exp(-p12 * V)',),
+        'a4': ('p13 * exp( p14 * V)',),
+        'b4': ('(a7*b3*b2*a4)/(a2*a3*b7)',),
+        'a5': ('p15 * exp( p16 * V)',),
+        'b5': ('(a5*a6*b4*b1)/(a1*a4*b6)',),
+        'a6': ('p17 * exp( p18 * V)',),
+        'b6': ('p19 * exp(-p20 * V)',),
+        'a7': ('p21 * exp(p22 * V)',),
+        'b7': ('p23 * exp(-p24 * V)',),
+    }
+
+    auxiliary_expression = "p25 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -85}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model14.py b/markov_builder/models/thirty_models/model14.py
new file mode 100644
index 0000000..de7308d
--- /dev/null
+++ b/markov_builder/models/thirty_models/model14.py
@@ -0,0 +1,49 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_14(MarkovChain):
+    description = ""
+    states = ('O', 'C2', 'C1', 'C3', 'I')
+    rates = [
+        ('C1', 'O', 'am', '3*bm'),
+        ('C2', 'C1', '2*am', '2*bm'),
+        ('C3', 'C2', '3*am', 'bm'),
+        ('O', 'I', 'b1', 'a1'),
+    ]
+
+    open_state = 'O'
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 0.1524
+                             }
+
+    rate_dictionary = {
+        'am': ('p1 * exp( p2 * V)',),
+        'bm': ('p3 * exp(-p4 * V)',),
+        'b1': ('p5 * exp(p6 * V)',),
+        'a1': ('p7 * exp(-p8 * V)',),
+    }
+
+    auxiliary_expression = "p9 * {} * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -85}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/tests/test_30_models.py b/tests/test_30_models.py
index addd323..cad2dd1 100644
--- a/tests/test_30_models.py
+++ b/tests/test_30_models.py
@@ -23,6 +23,9 @@
     model_07,
     model_08,
     model_11,
+    model_12,
+    model_13,
+    model_14,
     model_30,
 )
 
@@ -48,10 +51,11 @@ def setUp(self):
             model_00,
             model_01, model_02, model_03, model_04,
             model_05, model_06, model_07, model_08,
-            model_11, model_30
+            model_11, model_12, model_13,
+            model_14, model_30
         ]
 
-        self.model_indices = [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 30]
+        self.model_indices = [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12, 13, 14, 30]
 
     def test_generate_myokit(self):
         for model in self.models:

From f58dcc745caf850e3264aa51afb06d33f84587cb Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Fri, 16 Jun 2023 15:57:34 +0100
Subject: [PATCH 25/27] Add some models with HH-style gating

---
 markov_builder/MarkovChain.py                 | 20 ++++---
 .../models/thirty_models/__init__.py          |  7 ++-
 .../models/thirty_models/model10.py           | 54 +++++++++++++++++++
 markov_builder/models/thirty_models/model9.py | 45 ++++++++++++++++
 tests/test_30_models.py                       | 32 ++++++-----
 5 files changed, 135 insertions(+), 23 deletions(-)
 create mode 100644 markov_builder/models/thirty_models/model10.py
 create mode 100644 markov_builder/models/thirty_models/model9.py

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 7f05871..77e6d6d 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -11,6 +11,8 @@
 import sympy as sp
 from numpy.random import default_rng
 
+import myokit.formats.sympy
+
 from .MarkovStateAttributes import MarkovStateAttributes
 
 
@@ -785,17 +787,19 @@ def generate_myokit_model(self, name: str = "",
             state = self.get_state_symbol(state)
             comp.add_variable(state)
 
+        connected_components = list(nx.connected_components(self.graph.to_undirected()))
+
         # Write down differential equations for the states (unless we chose to
         # eliminate it from the ODE system)
-        for state in states:
-            var = comp[state]
+        for state in self.graph.nodes():
+            state_symbol = self.get_state_symbol(state)
+            var = comp[state_symbol]
             var.promote()
-            var.set_rhs(str(d_equations[state]))
-            var.set_state_value(0)
+            var.set_rhs(str(d_equations[state_symbol]))
 
-        # All but one states start with 0 occupancy. If they were all 0 nothing
-        # would happen.
-        comp[states[-1]].set_state_value(1)
+            # Give all of the states equal occupancy
+            component = [c for c in connected_components if state in c][0]
+            var.set_state_value(1.0 / len(component))
 
         # Write equation for eliminated state using the fact that the state
         # occupancies/probabilities must sum to 1.
@@ -811,7 +815,7 @@ def generate_myokit_model(self, name: str = "",
         # Add auxiliary equation if required
         if self.auxiliary_expression is not None and self.auxiliary_variable:
             comp.add_variable(self.auxiliary_variable)
-            comp[self.auxiliary_variable].set_rhs(str(self.auxiliary_expression))
+            comp[self.auxiliary_variable].set_rhs(str(self.auxiliary_expression).replace('**', '^'))
 
         return model
 
diff --git a/markov_builder/models/thirty_models/__init__.py b/markov_builder/models/thirty_models/__init__.py
index 8c83ef1..39fda86 100644
--- a/markov_builder/models/thirty_models/__init__.py
+++ b/markov_builder/models/thirty_models/__init__.py
@@ -7,6 +7,8 @@
 from .model6 import model_06
 from .model7 import model_07
 from .model8 import model_08
+from .model9 import model_09
+from .model10 import model_10
 from .model11 import model_11
 from .model12 import model_12
 from .model13 import model_13
@@ -15,5 +17,6 @@
 
 
 __all__ = ['model_00', 'model_01', 'model_02', 'model_03', 'model_04',
-           'model_05', 'model_06', 'model_07', 'model_08', 'model_11',
-           'model_12', 'model_13', 'model_30']
+           'model_05', 'model_06', 'model_07', 'model_08', 'model_09',
+           'model_10',
+           'model_11', 'model_12', 'model_13', 'model_14', 'model_30']
diff --git a/markov_builder/models/thirty_models/model10.py b/markov_builder/models/thirty_models/model10.py
new file mode 100644
index 0000000..ef68b93
--- /dev/null
+++ b/markov_builder/models/thirty_models/model10.py
@@ -0,0 +1,54 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_10(MarkovChain):
+    description = ""
+    states = ('O', 'C1', 'C2', 'O2', 'I')
+    rates = [
+        ('C1', 'O', 'a2', 'b2'),
+        ('C2', 'C1', 'a1', 'b1'),
+        ('I', 'O2', 'ah', 'bh')
+    ]
+
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 0.08730,
+                             'p10': 8.91e-3,
+                             'p11': 5.15e-3,
+                             'p12': 0.03158,
+                             'p13': 0.15240,
+                             }
+
+    rate_dictionary = {
+        'a1': ('p1 * exp(p2*V)',),
+        'b1': ('p3 * exp(-p4*V)',),
+        'bh': ('p5 * exp(p6*V)',),
+        'ah': ('p7 * exp(-p8*V)',),
+        'a2': ('p9 * exp(p10*V)',),
+        'b2': ('p11 * exp(-p12*V)',),
+    }
+
+    open_state = 'O'
+    auxiliary_expression = "p13 * state_O * state_O2 * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -88}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/markov_builder/models/thirty_models/model9.py b/markov_builder/models/thirty_models/model9.py
new file mode 100644
index 0000000..543fe19
--- /dev/null
+++ b/markov_builder/models/thirty_models/model9.py
@@ -0,0 +1,45 @@
+from numpy import NaN
+
+from markov_builder.MarkovChain import MarkovChain
+
+
+class model_09(MarkovChain):
+    description = ""
+    states = ('O', 'C', 'O2', 'I')
+    rates = [('C', 'O', 'am', 'bm'),
+             ('I', 'O2', 'ah', 'bh')]
+
+    shared_variables_dict = {'V': NaN,
+                             'p1': 2.26e-4,
+                             'p2': 0.06990,
+                             'p3': 3.45e-5,
+                             'p4': 0.05462,
+                             'p5': 0.08730,
+                             'p6': 8.91e-3,
+                             'p7': 5.15e-3,
+                             'p8': 0.03158,
+                             'p9': 0.15240,
+                             }
+
+    rate_dictionary = {
+        'am': ('p1 * exp(p2*V)',),
+        'bm': ('p3 * exp(-p4*V)',),
+        'bh': ('p5 * exp(p6*V)',),
+        'ah': ('p7 * exp(-p8*V)',),
+    }
+
+    open_state = 'O'
+    auxiliary_expression = "p9 * state_O ** 2 * state_O2 * (V - E_Kr)"
+    auxiliary_symbol = 'I_Kr'
+
+    auxiliary_params_dict = {'E_Kr': -88}
+
+    def __init__(self):
+        super().__init__(states=self.states,
+                         open_state=self.open_state,
+                         rates=self.rates,
+                         rate_dictionary=self.rate_dictionary,
+                         auxiliary_expression=self.auxiliary_expression,
+                         auxiliary_symbol=self.auxiliary_symbol,
+                         shared_variables_dict=self.shared_variables_dict,
+                         auxiliary_params_dict=self.auxiliary_params_dict)
diff --git a/tests/test_30_models.py b/tests/test_30_models.py
index cad2dd1..47536cd 100644
--- a/tests/test_30_models.py
+++ b/tests/test_30_models.py
@@ -22,6 +22,8 @@
     model_06,
     model_07,
     model_08,
+    model_09,
+    model_10,
     model_11,
     model_12,
     model_13,
@@ -48,14 +50,15 @@ def setUp(self):
         logging.info("outputting to " + test_output_dir)
 
         self.models = [
-            model_00,
-            model_01, model_02, model_03, model_04,
-            model_05, model_06, model_07, model_08,
-            model_11, model_12, model_13,
-            model_14, model_30
+            model_00, model_01, model_02, model_03, model_04,
+            model_05, model_06, model_07, model_08, model_09, model_10,
+            model_11, model_12, model_13, model_14, model_30
         ]
 
-        self.model_indices = [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12, 13, 14, 30]
+        self.disconnected_models = [model_09, model_10]
+
+        self.model_indices = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
+                              30]
 
     def test_generate_myokit(self):
         for model in self.models:
@@ -86,13 +89,16 @@ def test_connected(self):
             logging.debug(f"initiating {name}")
 
             mc = model()
-            self.assertTrue(mc.is_connected())
+            self.assertTrue(mc.is_connected() ^ (model in self.disconnected_models))
 
     def test_reversible(self):
         for model in self.models:
             name = model.__name__
             logging.debug(f"initiating {name}")
 
+            if model in self.disconnected_models:
+                continue
+
             mc = model()
             if not mc.is_reversible():
                 undirected_graph = mc.graph.to_undirected(reciprocal=False, as_view=True)
@@ -111,15 +117,15 @@ def test_reversible(self):
                     backward_rate_list = [rate.subs(mc.rate_expressions) for rate in
                                           backward_rate_list]
 
-                forward_rate_product = sp.prod(forward_rate_list)
-                backward_rate_product = sp.prod(backward_rate_list)
-                if (forward_rate_product - backward_rate_product).evalf() != 0:
-                    logging.error("Rates moving forwards around the cycle are: %s", forward_rate_list)
-                    logging.error("Rates moving backwards around the cycle are: %s", backward_rate_list)
+                    forward_rate_product = sp.prod(forward_rate_list)
+                    backward_rate_product = sp.prod(backward_rate_list)
+                    if (forward_rate_product - backward_rate_product).evalf() != 0:
+                        logging.error("Rates moving forwards around the cycle are: %s", forward_rate_list)
+                        logging.error("Rates moving backwards around the cycle are: %s", backward_rate_list)
 
             self.assertTrue(mc.is_reversible())
 
-    def test_output(self):
+    def test_myokit_simulation_output(self):
         mmt_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
                                'models_myokit')
         Erev = -88

From c2ccada140cdcaf3e85ea0f777c529e852eea552 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Fri, 16 Jun 2023 16:10:10 +0100
Subject: [PATCH 26/27] Sort imports

---
 markov_builder/MarkovChain.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 77e6d6d..0e2a8ad 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -4,6 +4,7 @@
 from typing import List, Tuple
 
 import myokit
+import myokit.formats.sympy
 import networkx as nx
 import numpy as np
 import pandas as pd
@@ -11,8 +12,6 @@
 import sympy as sp
 from numpy.random import default_rng
 
-import myokit.formats.sympy
-
 from .MarkovStateAttributes import MarkovStateAttributes
 
 

From 93b454f98e872767eddefebd25dbb5dfe8a5b193 Mon Sep 17 00:00:00 2001
From: Joseph <pmyjgs@nottingham.ac.uk>
Date: Fri, 16 Jun 2023 16:51:05 +0100
Subject: [PATCH 27/27] Fix myokit model generation

---
 markov_builder/MarkovChain.py | 8 +++++---
 tests/test_30_models.py       | 4 ++--
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/markov_builder/MarkovChain.py b/markov_builder/MarkovChain.py
index 0e2a8ad..584cd96 100644
--- a/markov_builder/MarkovChain.py
+++ b/markov_builder/MarkovChain.py
@@ -793,12 +793,14 @@ def generate_myokit_model(self, name: str = "",
         for state in self.graph.nodes():
             state_symbol = self.get_state_symbol(state)
             var = comp[state_symbol]
-            var.promote()
-            var.set_rhs(str(d_equations[state_symbol]))
 
             # Give all of the states equal occupancy
             component = [c for c in connected_components if state in c][0]
-            var.set_state_value(1.0 / len(component))
+            initial_value = 1.0 / float(len(component))
+
+            if state != eliminate_state:
+                var.promote(initial_value)
+                var.set_rhs(str(d_equations[state_symbol]))
 
         # Write equation for eliminated state using the fact that the state
         # occupancies/probabilities must sum to 1.
diff --git a/tests/test_30_models.py b/tests/test_30_models.py
index 47536cd..6906323 100644
--- a/tests/test_30_models.py
+++ b/tests/test_30_models.py
@@ -155,7 +155,7 @@ def test_myokit_simulation_output(self):
 
             tmax = mk_protocol.characteristic_time()
             times = np.linspace(0, tmax, int(tmax) + 1)
-            sim.pre(1000)
+            sim.pre(5000)
 
             log = sim.run(tmax, log_times=times, log=['ikr.IKr'])
 
@@ -166,7 +166,7 @@ def test_myokit_simulation_output(self):
             sim = mk.Simulation(generated_mk_model, mk_protocol)
             sim.set_tolerance(1e-9, 1e-9)
             sim.set_constant('markov_chain.E_Kr', Erev)
-            sim.pre(1000)
+            sim.pre(5000)
 
             log = sim.run(tmax, log_times=times, log=['markov_chain.I_Kr'])
             gen_mk_IKr = np.array(log['markov_chain.I_Kr'])