Source code for memote.experimental.experiment

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

# Copyright 2018 Novo Nordisk Foundation Center for Biosustainability,
# Technical University of Denmark.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Provide a base class for experiment definitions."""

from __future__ import absolute_import

import logging

from memote.experimental.experimental_base import ExperimentalBase


__all__ = ("Experiment",)

LOGGER = logging.getLogger(__name__)


[docs]class Experiment(ExperimentalBase): """Base class for experimental data.""" def __init__(self, obj, minimal_growth_rate, **kwargs): """ Initialize an experiment. Parameters ---------- obj : dict minimal_growth_rate : float minimum value of biomass function for the model to be considered as growing. Not used by Medium. Default: None kwargs """ super(Experiment, self).__init__(obj=obj, **kwargs) self.medium = obj.get("medium") self.objective = obj.get("objective") # TODO: This is a placeholder. Constraints need to be loaded with # optlang. self.constraints = obj.get("constraints", []) if len(self.constraints) > 0: raise NotImplementedError( "This feature is not implemented yet. Please let us know that " "you want it at https://github.com/opencobra/memote/issues." ) self.minimal_growth_rate = minimal_growth_rate
[docs] def evaluate(self, model): """Abstract base method for evaluating experimental data.""" raise NotImplementedError("Base class does not implement this method.")