qlat_scripts.v1

get_param(*keys[, default, dict_params])
set_param(*keys[, value, dict_params])
mk_sample_gauge_field_v3(job_tag, fn)	depends on total_site = q.Coordinate(get_param(job_tag, "total_site")) rand_n_step = get_param(job_tag, "mk_sample_gauge_field", "rand_n_step", default = 16) rand_sigma = get_param(job_tag, "mk_sample_gauge_field", "rand_sigma", default = 0.25) flow_n_step = get_param(job_tag, "mk_sample_gauge_field", "flow_n_step", default = 4) flow_size = get_param(job_tag, "mk_sample_gauge_field", "flow_size", default = 0.05) hmc_n_traj = get_param(job_tag, "mk_sample_gauge_field", "hmc_n_traj", default = 500) hmc_beta = get_param(job_tag, "mk_sample_gauge_field", "hmc_beta", default = 6.0) hmc_n_step = get_param(job_tag, "mk_sample_gauge_field", "hmc_n_step", default = 6) hmc_is_always_accept = get_param(job_tag, "mk_sample_gauge_field", "hmc_is_always_accept", default = True)
get_save_path(fn)
get_load_path(*fns)
mk_gpt_inverter(gf, job_tag, inv_type, ...)
mk_qlat_inverter(gf, job_tag, inv_type, ...)
mk_inverter(*args, **kwargs)