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import conditional_intensity_matrix as cim
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import numpy as np
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class AmalgamatedCims:
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def __init__(self, states_number,list_of_keys, list_of_matrices_dims):
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self.actual_cims = {}
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self.init_cims_structure(list_of_keys, list_of_matrices_dims)
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self.states_per_variable = states_number
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def init_cims_structure(self, keys, dims):
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for key, dim in (keys, dims):
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self.actual_cims[key] = np.empty(dim, dtype=cim.ConditionalIntensityMatrix)
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for key in self.actual_cims.keys():
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for indx in range(len(self.actual_cims[key])):
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self.actual_cims[key][indx] = cim.ConditionalIntensityMatrix(self.states_per_variable)
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def compute_matrix_indx(self, row, col):
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return self.state_per_variable * row + col
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