本文整理汇总了Python中timer.Timer.progress方法的典型用法代码示例。如果您正苦于以下问题：Python Timer.progress方法的具体用法？Python Timer.progress怎么用？Python Timer.progress使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类timer.Timer的用法示例。
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示例1: ent_agr_var_plots
# 需要导入模块: from timer import Timer [as 别名]
# 或者: from timer.Timer import progress [as 别名]
def ent_agr_var_plots(spin, N, hmin, hmax, points, c, num_psis, phis):
"""
This function creates data dumps for plotting of eigenstate entropy,
adjusted gap ratio, and variance. Also data for histograms
:param spin: is the spin of the individual particles
:param N: is the system size
:param hmin: minimum h to plot
:param hmax: maximum h to plot
:param points: number of h to plot
:param c: quasirandom factor
:param num_psis: number of eigenstates to find near a specified energy
:param phis: number of phases to average over
:return: dumped data files
"""
h_list = np.linspace(hmin, hmax, points)
phi_list = np.linspace(0, 0.5 * np.pi, phis + 1)
phi_list = phi_list[0:-1]
Sz_tot = aubryC.half_chain_Sz(N)
Sz_tot2 = Sz_tot**2
ent_plt = np.zeros(points)
# var_plt = np.zeros(points)
agr_plt = np.zeros(points)
ent_std = np.zeros(points)
# var_std = np.zeros(points)
agr_std = np.zeros(points)
timer = Timer(points*phis, mode='average')
for i in range(points):
ent_lst_full = np.array([])
# var_lst_full = np.array([])
agr_lst_full = np.array([])
# eig_lst_full = ent_lst_full
for k in range(phis):
H = aubryHo.spin_block(N, h_list[i], c, phi_list[k])
try:
H, psis, eigvs = aubryC.gen_eigenpairs(N, H, num_psis)
except:
print("Configuration failed to converge: H ", h_list[i], " Phi ", phi_list[k])
continue
ent_lst, var_lst = \
aubryC.ent_var_lst(psis, spin, N, Sz_tot, Sz_tot2)
eigvs = np.sort(eigvs)
agr_lst = aubryC.adj_gap_ratio(eigvs)
ent_lst_full = np.append(ent_lst_full, ent_lst)
# var_lst_full = np.append(var_lst_full, var_lst)
agr_lst_full = np.append(agr_lst_full, agr_lst)
# eig_lst_full = np.append(eig_lst_full, eigvs)
timer.progress()
ent_plt[i] = np.mean(ent_lst_full/N)
ent_std[i] = np.std(ent_lst_full/N)
# var_plt[i] = np.mean(var_lst_full)
# var_std[i] = np.std(var_lst_full)
agr_plt[i] = np.mean(agr_lst_full)
agr_std[i] = np.std(agr_lst_full)
ent_hst_file = 'DATA/ent_hst_L' + str(N) + '_h' + str(
h_list[i]) + '_c' + str(round(c, 2)) + '.txt'
# var_hst_file = 'DATA/var_hst_L' + str(N) + '_h' + str(
# h_list[i]) + '_c' + str(round(c, 2)) + '.txt'
agr_hst_file = 'DATA/agr_hst_L' + str(N) + '_h' + str(
h_list[i]) + '_c' + str(round(c, 2)) + '.txt'
# eig_hst_file = 'eig_hst_L' + str(N) + '_h' + str(
# h_list[i]) + '_c' + str(round(c, 2)) + '.txt'
np.savetxt(ent_hst_file, np.transpose(ent_lst_full))
# np.savetxt(var_hst_file, np.transpose(var_lst_full))
np.savetxt(agr_hst_file, np.transpose(agr_lst_full))
# np.savetxt(eig_hst_file, eig_lst_full)
ent_agr_var_plot_file = 'DATA/plot_data_L' + str(N) + '_c' + str(round(c, 2))\
+ '_phi' + str(phis) + '.txt'
# np.savetxt(ent_agr_var_plot_file, (h_list, ent_plt, ent_std, agr_plt, agr_std, var_plt, var_std))
np.savetxt(ent_agr_var_plot_file, (h_list, ent_plt, ent_std, agr_plt, agr_std))