Source code for test_consistency

# -*- coding: utf-8 -*-

# Copyright 2017 Novo Nordisk Foundation Center for Biosustainability,
# Technical University of Denmark.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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"""Stoichiometric consistency tests for an instance of ``cobra.Model``."""

from __future__ import absolute_import

import pytest

import memote.support.consistency as consistency


[docs]def test_stoichiometric_consistency(read_only_model, store): """Expect that the stoichiometry is mass-balanced.""" is_consistent = consistency.check_stoichiometric_consistency( read_only_model) store["is_consistent"] = is_consistent unconserved = [] if is_consistent else [ met.id for met in consistency.find_unconserved_metabolites( read_only_model)] store["unconserved_metabolites"] = unconserved assert is_consistent,\ "The following metabolites are involved in inconsistent reactions:"\ " {}".format(", ".join(unconserved))
@pytest.mark.parametrize( "read_only_model, store, met", [("read_only_model", "store", x) for x in consistency.ENERGY_COUPLES], indirect=["read_only_model", "store"])
[docs]def test_detect_energy_generating_cycles(read_only_model, store, met): """Expect that no energy metabolite can be produced out of nothing.""" try: result = \ consistency.detect_energy_generating_cycles(read_only_model, met) except KeyError as err: result = "not found" store["magic_{}_production".format(met)] = result if result == "not found": assert False,\ "The metabolite '{}' was not found in the model.".format(met) elif result == "infeasible": assert False,\ "Solving the model is infeasible. Often this is due to missing " \ "or disconnected metabolites, or too strict constraints." else: assert len(result) == 0,\ "The model can produce '{}' without requiring resources. This is " \ "likely caused by improperly constrained reactions leading to " \ "erroneous energy-generating cycles.".format(met)
[docs]def test_reaction_charge_balance(read_only_model, store): """Expect all reactions to be charge balanced.""" store["charge_imbalanced_reactions"] = [ rxn.id for rxn in consistency.find_charge_imbalanced_reactions( read_only_model)] assert len(store["charge_imbalanced_reactions"]) == 0,\ "The following reactions are charge imbalanced or at least one " \ "metabolite participating in a reaction doesn't have a charge" \ ": {}".format(", ".join(store["charge_imbalanced_reactions"]))
[docs]def test_reaction_mass_balance(read_only_model, store): """Expect all reactions to be mass balanced.""" store["mass_imbalanced_reactions"] = [ rxn.id for rxn in consistency.find_mass_imbalanced_reactions( read_only_model)] assert len(store["mass_imbalanced_reactions"]) == 0,\ "The following reactions are mass imbalanced or at least one " \ "metabolite participating in a reaction doesn't have a formula" \ ": {}".format(", ".join(store["mass_imbalanced_reactions"]))
[docs]def test_blocked_reactions(read_only_model, store): """Expect all reactions to be able to carry flux.""" store["blocked_reactions"] = [ rxn.id for rxn in consistency.find_blocked_reactions(read_only_model)] assert len(store["blocked_reactions"]) == 0,\ "The following reactions are blocked: {}".format( ", ".join(store["blocked_reactions"]))
@pytest.mark.skip(reason="Loopless FVA currently runs too slow for large " "models.")
[docs]def test_find_stoichiometrically_balanced_cycles(read_only_model, store): """Expect no stoichiometrically balanced loops to be present.""" store["looped_reactions"] = [ rxn.id for rxn in consistency.find_stoichiometrically_balanced_cycles( read_only_model )] assert len(store["looped_reactions"]) == 0,\ "The following reactions participate in stoichiometrically balanced" \ " cycles: {}".format( ", ".join(store["looped_reactions"]))
[docs]def test_find_orphans(read_only_model, store): """Expect no orphans to be present.""" store["orphan_metabolites"] = [ met.id for met in consistency.find_orphans(read_only_model)] assert len(store["orphan_metabolites"]) == 0,\ "The following metabolites are not produced by any " \ "reaction of the model: {}".format( ", ".join(store["orphan_metabolites"]))
[docs]def test_find_deadends(read_only_model, store): """Expect no deadends to be present.""" store["deadend_metabolites"] = [ met.id for met in consistency.find_deadends(read_only_model)] assert len(store["deadend_metabolites"]) == 0,\ "The following metabolites are not consumed by any " \ "reaction of the model: {}".format( ", ".join(store["deadend_metabolites"]))
[docs]def test_find_disconnected(read_only_model, store): """Expect no disconnected metabolites to be present.""" store["disconnected_metabolites"] = [ met.id for met in consistency.find_disconnected(read_only_model)] assert len(store["disconnected_metabolites"]) == 0,\ "The following metabolites are not associated with any " \ "reaction of the model: {}".format( ", ".join(store["disconnected_metabolites"]))