qlat_scripts.v1

get_param(*keys[, default, dict_params])

example: get_param("48I", "total_site") ==> [ 48, 48, 48, 96, ]

set_param(*keys[, value, dict_params])

example: set_param("48I", "total_site")([ 48, 48, 48, 96, ])

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)