Created
March 16, 2023 08:57
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| def create_dimers(design_pairs, sparse_factor=0.05, max_c=50, min_hard=25, min_soft=45, soft_threshold=0.8, rand_seed=seed): | |
| num_observations, num_pairings = design_pairs.shape | |
| inv_max_CT = max_c - min_hard | |
| m_val = 1 | |
| c_at_threshold = max_c - min_soft + m_val | |
| b_val = -np.log(1 - soft_threshold) / np.log(c_at_threshold / m_val) | |
| dimer_distribution = sp.stats.bernoulli(sparse_factor) | |
| pairing_is_dimer = dimer_distribution.rvs(size=num_pairings, random_state=rand_seed) | |
| specific_inv_CT_dist = sp.stats.truncpareto(b=b_val, c=inv_max_CT + m_val, loc=-m_val) | |
| specific_inv_CTs = specific_inv_CT_dist.rvs(size=num_pairings, random_state=rand_seed + 1) * pairing_is_dimer | |
| specific_CTs = max_c - specific_inv_CTs | |
| return specific_CTs, specific_inv_CTs |
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