qlat_utils.g_rejk

qlat_utils.g_rejk(jk_list, jk_idx_list, *, jk_type, all_jk_idx, get_all_jk_idx, n_rand_sample, rng_state, jk_blocking_func, is_normalizing_rand_sample, **_kwargs)[source]

Perform (randomized) Super-Jackknife for the Jackknife data set. :jk_list: usually the Jackknife data set obtained with g_jk(data_list). :jk_idx_list: should be list of indices that names the jk_list. :jk_type: [ “rjk”, “super”, ]``

Returns:

(randomized) Super-Jackknife data set.

Note that:

len(jk_list) == len(jk_idx_list)
jk_idx_list[0] == "avg"

Example