matflow.tests.subset_simulation#

Module containing functions to run a subset simulation on a simple toy model, used as a validation of the MatFlow implementation.

Functions

`dist_to_str`	Return a string representation of a distribution.
`estimate_cov`	Estimate the coefficient of variation at a given conditional level of the subset simulation.
`generate_next_level_samples`
`generate_next_level_samples_ACS`	Adaptive conditional sampling algorithm for generating states in the subset simulation level (aka adaptive subset infinity).
`generate_next_level_samples_CS`	Conditional sampling algorithm for generating states in the subset simulation level (aka subset infinity).
`generate_next_state`	Proposal must be a symmetric distribution centred on zero.
`generate_next_state_ACS`
`generate_next_state_CS`
`get_stats`
`get_toy_model_results_from_matflow_workflows`	param root_path: A directory containing only (zipped) workflows that are toy-model subset
`get_y_star`
`model`
`plot_cov_dist`
`plot_cov_estimates`
`plot_many_pf_num_samples`
`plot_many_pf_num_samples_from_files`
`plot_pf_dist`
`plot_pf_num_samples`
`run_convergence`	Run a convergence test on the toy model subset simulation, for either number of samples per level, N, or number of repeats, R.
`run_repeats`
`sample_direct_MC`
`subset_simulation`
`system_analysis_toy_model`	x is within the failure domain if the return is greater than zero.