Source code for benchmark_import

import h5py
import numpy as np
import pandas as pd
import scipy as sp


[docs]class DataProvider: def __init__(self, h5_file): self.h5_file = h5_file
[docs] def get_edata(self): pass
[docs] def get_timepoints(self): with h5py.File(self.h5_file, 'r') as f: timepoints = f['/amiciOptions/ts'][:] return timepoints
[docs] def get_pscales(self): with h5py.File(self.h5_file, 'r') as f: pscale = f['/amiciOptions/pscale'][:] return pscale
[docs] def get_fixed_parameters(self): with h5py.File(self.h5_file, 'r') as f: fixed_parameters = f['/fixedParameters/k'][:] fixed_parameters = fixed_parameters[0] return fixed_parameters
[docs] def get_fixed_parameters_names(self): with h5py.File(self.h5_file, 'r') as f: fixed_parameters_names = f['/fixedParameters/parameterNames'][:] return fixed_parameters_names
[docs] def get_initial_states(self): pass
[docs] def get_measurements(self): with h5py.File(self.h5_file, 'r') as f: measurements = f['/measurements/y'][:] return measurements
[docs] def get_ysigma(self): with h5py.File(self.h5_file, 'r') as f: ysigma = f['/measurements/ysigma'][:] return ysigma
[docs] def get_observableNames(self): with h5py.File(self.h5_file, 'r') as f: observable_names = f['/measurements/observableNames'] return observable_names