# This file was generated from solfit.py at 2017-08-04 22:57:19.055089
# Bx, By, Bz = 1 + x + y + z + xx + xy + xz + yy + yz + zz + xxx + xxy + xxz + xyy + xyz + xzz + yyy + yyz + yzz + zzz
# barrel r: 0 < its < 80 < tpc < 250 < tof < 400 < tofext < 423 < cal < 500
# barrel z: -550 < z < 550
# phi: 0 < q1 < 0.5pi < q2 < pi < q3 < 1.5pi < q4 < 2pi
# header: Rbin Zbin Quadrant Nval_per_compoment(=20)
# data: Nval_per_compoment x floats

#cal2k_z0_q1
4 0 0 20
# precision: tgt 2.00e-03 max 8.82e-03 (441.2%) avg 1.47e-03 (73.5%)
-7.08207e-01 -1.21331e-03 -1.92289e-03 -6.91063e-03 4.39038e-06 1.20491e-05 8.23959e-06 5.05380e-06 6.32063e-06 -1.04393e-05 -1.90127e-09 -6.65278e-09 2.86082e-09 -9.15664e-09 5.29378e-09 1.12730e-08 -1.18247e-09 2.33955e-09 8.66593e-09 -3.98431e-09
# precision: tgt 2.00e-03 max 1.72e-02 (862.2%) avg 2.04e-03 (101.8%)
-3.98625e-03 -3.67869e-03 -3.63110e-04 -3.59896e-03 6.84207e-06 1.20063e-05 1.72114e-06 3.10141e-06 1.09658e-05 -4.89302e-06 -3.25400e-09 -1.28798e-08 3.09718e-10 -7.18475e-09 -9.27312e-10 1.21194e-09 -1.23372e-09 2.96568e-10 1.06525e-08 -2.18814e-09
# precision: tgt 2.00e-03 max 6.17e-03 (308.3%) avg 6.62e-04 (33.1%)
-1.07131e+00 -1.78878e-03 -3.08182e-03 -1.95323e-02 3.25848e-06 2.58678e-06 -4.44769e-06 4.72865e-06 -8.33021e-06 -4.01652e-05 7.49114e-10 1.77258e-09 8.81797e-09 1.09083e-09 8.02575e-09 -2.69081e-10 1.05685e-10 1.04586e-08 -3.41562e-09 -2.62176e-08

#cal2k_z0_q2
4 0 1 20
# precision: tgt 2.00e-03 max 2.10e-02 (1050.1%) avg 1.96e-03 (98.2%)
9.36319e-01 -5.83427e-04 1.39535e-03 7.64517e-03 -3.39288e-06 9.64704e-06 8.55076e-06 -3.44540e-06 -5.66260e-06 1.19349e-05 -1.42012e-09 5.05131e-09 -2.18906e-09 -6.48461e-09 4.72719e-09 1.11060e-08 6.70789e-11 -2.13176e-09 -7.85679e-09 5.07836e-09
# precision: tgt 2.00e-03 max 1.61e-02 (805.0%) avg 1.88e-03 (94.1%)
-9.33266e-01 2.94639e-03 -3.68934e-04 -8.50013e-03 6.56174e-06 -1.34663e-05 -5.25475e-06 4.39802e-06 1.30351e-05 -1.26250e-05 2.55325e-09 -1.32084e-08 3.61536e-10 8.77716e-09 4.02270e-10 -4.82171e-09 -2.01808e-09 8.00897e-10 1.30496e-08 -5.94157e-09
# precision: tgt 2.00e-03 max 4.85e-03 (242.3%) avg 6.27e-04 (31.4%)
-5.85665e-01 2.09393e-03 -3.12546e-03 -1.69281e-02 3.96337e-06 -3.66771e-06 4.44120e-06 4.97355e-06 -7.68681e-06 -3.49433e-05 -2.64779e-10 6.47212e-10 8.96244e-09 -5.69701e-10 -8.37764e-09 4.43072e-11 9.28580e-11 1.06255e-08 -2.62674e-09 -2.26606e-08

#cal2k_z0_q3
4 0 2 20
# precision: tgt 2.00e-03 max 1.16e-02 (577.7%) avg 1.67e-03 (83.3%)
-1.33590e+00 1.04444e-04 -8.20355e-04 -7.12962e-03 -5.32921e-07 -2.19634e-06 2.68975e-06 -8.82357e-07 -6.26673e-07 -1.42569e-05 -4.85229e-10 -2.14139e-10 -1.81591e-09 -2.15956e-09 -2.06706e-09 4.39572e-09 3.18600e-10 -1.55771e-09 4.65819e-10 -9.73244e-09
# precision: tgt 2.00e-03 max 8.80e-03 (439.8%) avg 1.49e-03 (74.6%)
-5.61804e-01 1.18428e-03 3.31197e-04 -3.93002e-03 3.23605e-07 -1.74177e-06 6.84458e-06 -7.07483e-07 4.06460e-06 -1.12541e-05 1.86988e-09 -2.37297e-09 -2.83455e-10 2.00075e-10 6.62448e-10 5.87177e-09 -5.49787e-10 -1.42642e-09 4.36529e-09 -9.10736e-09
# precision: tgt 2.00e-03 max 1.38e-02 (689.6%) avg 1.90e-03 (94.9%)
-8.83016e-01 -1.60542e-03 -1.24998e-03 -1.61480e-02 6.96318e-08 5.02893e-08 -6.12359e-06 -2.40297e-07 -4.76613e-06 -2.88201e-05 -4.29475e-11 -2.86974e-10 1.02440e-09 7.96981e-10 -6.63254e-10 -5.95956e-09 1.92944e-10 -6.07931e-10 -3.86966e-09 -1.62361e-08

#cal2k_z0_q4
4 0 3 20
# precision: tgt 2.00e-03 max 8.76e-03 (437.9%) avg 1.77e-03 (88.4%)
5.33836e-01 -1.22230e-03 1.86872e-03 1.19597e-03 2.32298e-06 -6.49406e-06 2.21290e-06 2.58819e-06 2.47625e-07 2.95772e-06 -1.13996e-09 3.75712e-09 2.00305e-09 -5.57728e-09 -2.61795e-09 4.15610e-09 2.88052e-10 1.90683e-09 -1.23534e-09 2.64653e-09
# precision: tgt 2.00e-03 max 1.37e-02 (685.9%) avg 1.90e-03 (95.2%)
2.27705e-01 1.41828e-03 -4.15813e-04 2.26312e-03 -5.86276e-06 7.96308e-06 -6.62262e-06 -2.01101e-06 5.71800e-06 2.03235e-07 2.56797e-09 -1.08751e-08 -7.18120e-10 3.57655e-09 -1.71290e-09 -5.62490e-09 -1.43622e-09 -7.80491e-10 5.42382e-09 -1.91071e-09
# precision: tgt 2.00e-03 max 1.26e-02 (631.0%) avg 1.83e-03 (91.4%)
-1.44112e+00 2.42401e-03 -1.67751e-03 -1.86576e-02 -8.84350e-07 1.01028e-06 7.63507e-06 -3.02222e-07 -5.47252e-06 -3.31079e-05 8.81780e-11 -9.43502e-10 -3.78220e-10 -7.38871e-10 1.40417e-09 6.47950e-09 4.21134e-10 -7.38135e-10 -4.23588e-09 -1.88015e-08

#cal2k_z1_q1
4 1 0 20
# precision: tgt 2.00e-03 max 9.26e-03 (463.0%) avg 1.47e-03 (73.3%)
-3.90363e-01 -2.65246e-03 -2.92472e-03 -5.64853e-03 5.40088e-06 1.03026e-05 1.48747e-06 4.95395e-06 -5.69255e-08 -1.11169e-05 -1.83561e-09 -5.18175e-09 6.00865e-09 -6.46783e-09 7.09047e-09 5.97504e-09 -4.61118e-10 5.25675e-09 3.65575e-09 -6.49520e-09
# precision: tgt 2.00e-03 max 1.63e-02 (814.9%) avg 1.81e-03 (90.3%)
-4.79993e-01 -2.47376e-03 -9.67668e-04 -5.10962e-03 6.43205e-06 9.54841e-06 3.60104e-06 3.63151e-06 6.91558e-06 -7.32358e-06 -1.75952e-09 -8.15016e-09 4.97441e-09 -3.79123e-09 3.65028e-09 6.22740e-09 -2.90504e-10 4.88402e-09 9.70160e-09 -2.70800e-09
# precision: tgt 2.00e-03 max 4.76e-03 (238.0%) avg 8.21e-04 (41.1%)
1.08761e+00 1.68519e-03 1.19998e-03 -2.78480e-03 -7.83018e-07 -5.08960e-06 7.30883e-07 6.18215e-08 -4.23242e-07 -3.79227e-06 1.52230e-09 5.26166e-09 4.44172e-09 4.26031e-09 7.78576e-10 1.02671e-09 1.09589e-09 4.79011e-09 -1.09866e-10 -1.27509e-09

#cal2k_z1_q2
4 1 1 20
# precision: tgt 2.00e-03 max 2.04e-02 (1019.2%) avg 1.79e-03 (89.7%)
-3.37306e-01 -2.37169e-03 2.68423e-03 9.94905e-04 -5.02322e-06 9.13591e-06 1.86885e-06 -3.71570e-06 7.33568e-07 1.74667e-06 -1.47460e-09 4.16599e-09 -6.04119e-09 -4.52399e-09 7.54853e-09 6.65895e-09 -3.54874e-10 -4.89305e-09 -3.08708e-09 3.65157e-11
# precision: tgt 2.00e-03 max 1.58e-02 (788.0%) avg 1.59e-03 (79.3%)
-8.33875e-01 3.19944e-03 -2.13121e-03 -8.58653e-03 5.87022e-06 -1.07446e-05 -9.04564e-07 4.63554e-06 3.87864e-06 -1.64480e-05 1.06461e-09 -8.14776e-09 4.71553e-09 4.75162e-09 -4.90870e-09 -3.79979e-09 -8.55513e-10 5.63258e-09 7.45679e-09 -1.00127e-08
# precision: tgt 2.00e-03 max 4.24e-03 (212.0%) avg 7.48e-04 (37.4%)
2.04839e+00 -1.09105e-03 5.80256e-04 2.25604e-03 -1.52566e-06 6.26316e-06 3.26329e-06 -9.50345e-07 -4.71784e-06 4.02157e-06 -1.68960e-09 5.59488e-09 3.50802e-09 -5.02276e-09 4.65804e-10 3.91017e-09 1.51908e-09 3.83160e-09 -5.42446e-09 2.03844e-09

#cal2k_z1_q3
4 1 2 20
# precision: tgt 2.00e-03 max 9.15e-03 (457.6%) avg 1.38e-03 (68.9%)
-7.68780e-01 -1.09977e-03 -1.49338e-03 -3.79654e-03 -2.66061e-06 -3.07899e-06 -2.64875e-07 -2.30561e-06 -2.37347e-06 -7.59802e-06 -6.92157e-10 -7.13502e-10 -5.38721e-09 -1.99744e-09 -3.59372e-09 2.87767e-09 2.79616e-10 -4.56759e-09 -1.21610e-10 -5.23400e-09
# precision: tgt 2.00e-03 max 9.61e-03 (480.3%) avg 1.29e-03 (64.5%)
-8.55204e-02 -1.09068e-03 -1.08326e-03 6.67364e-04 -1.06003e-06 -2.85081e-06 -9.56798e-07 -1.89365e-06 -2.33465e-07 1.28743e-06 1.58103e-09 -1.24156e-09 -3.71836e-09 8.66462e-10 -4.29276e-09 1.18548e-09 -3.44571e-10 -4.65490e-09 3.01630e-09 5.15257e-10
# precision: tgt 2.00e-03 max 5.69e-03 (284.3%) avg 1.02e-03 (51.0%)
1.28292e-01 -2.28160e-03 -1.28320e-03 -9.06945e-03 -1.61506e-07 -2.25132e-06 -6.27540e-06 3.39816e-07 -2.87685e-06 -1.48755e-05 -9.75917e-10 -3.27395e-09 4.01883e-09 -2.58518e-09 2.63700e-09 -8.07339e-09 -4.28560e-10 4.00323e-09 -4.72221e-09 -6.62353e-09

#cal2k_z1_q4
4 1 3 20
# precision: tgt 2.00e-03 max 9.33e-03 (466.7%) avg 1.58e-03 (79.2%)
5.89162e-01 -2.15772e-03 2.45467e-03 1.38601e-03 4.70627e-06 -7.81742e-06 9.27759e-07 4.13922e-06 1.23250e-06 3.23067e-06 -1.49128e-09 4.47479e-09 5.68847e-09 -5.21285e-09 -4.97059e-09 4.62846e-09 1.99390e-10 5.50279e-09 -1.99139e-09 2.87136e-09
# precision: tgt 2.00e-03 max 1.35e-02 (677.2%) avg 1.72e-03 (86.1%)
-1.00122e-01 3.87440e-03 -2.49090e-03 2.71954e-03 -8.07078e-06 1.06044e-05 3.15195e-07 -4.30910e-06 7.96018e-07 4.94024e-06 3.41017e-09 -1.12622e-08 -3.94569e-09 4.38966e-09 2.67474e-09 -1.21519e-09 -1.50362e-09 -4.76029e-09 3.41524e-09 3.09298e-09
# precision: tgt 2.00e-03 max 6.70e-03 (335.2%) avg 1.07e-03 (53.7%)
2.67043e+00 1.50232e-03 -1.07055e-03 6.21230e-03 -1.02081e-06 3.63830e-06 1.15843e-06 9.80442e-08 -6.28076e-07 1.45697e-05 9.25730e-10 -3.54961e-09 2.24007e-09 2.52927e-09 -2.61978e-10 8.56551e-10 -4.27643e-10 3.60823e-09 -1.21179e-09 1.15210e-08

#cal2k_z10_q1
4 10 0 20
# precision: tgt 2.00e-03 max 5.50e-03 (274.9%) avg 6.76e-04 (33.8%)
1.50318e-01 -8.34156e-04 -6.25255e-04 -1.95589e-04 1.50159e-06 2.45376e-06 1.22935e-06 7.80547e-07 8.35823e-07 1.11551e-07 -8.70824e-10 -2.35942e-09 -7.35166e-10 -1.60325e-09 -1.48054e-09 -2.24932e-10 -3.00579e-10 -8.97721e-10 -2.67483e-10 -4.69146e-10
# precision: tgt 2.00e-03 max 8.46e-03 (423.1%) avg 1.06e-03 (52.8%)
2.98382e-01 -1.45206e-03 -1.06478e-03 -5.05423e-05 2.08426e-06 4.02232e-06 -7.04096e-08 8.43661e-07 8.09746e-07 -1.45682e-07 -7.49959e-10 -3.64630e-09 3.97665e-10 -1.98135e-09 -2.71054e-10 2.08324e-10 3.73619e-11 -4.05545e-10 3.59282e-10 -7.96084e-11
# precision: tgt 2.00e-03 max 4.11e-03 (205.3%) avg 1.28e-03 (64.1%)
2.09239e+00 3.56266e-05 1.05732e-04 1.05951e-04 -3.89104e-07 -5.06842e-07 -4.83666e-07 -5.32742e-07 -3.80951e-07 -7.40644e-07 6.65406e-10 7.84055e-10 6.42171e-10 9.96863e-10 8.51671e-10 7.38338e-10 7.38652e-10 3.92462e-10 7.19200e-10 -1.30805e-09

#cal2k_z10_q2
4 10 1 20
# precision: tgt 2.00e-03 max 5.79e-03 (289.5%) avg 5.75e-04 (28.7%)
1.75193e-02 6.86452e-05 -2.34583e-04 3.53985e-04 6.57174e-08 -6.75043e-07 1.70211e-06 6.31518e-07 -1.45069e-06 -5.87568e-08 1.68246e-11 -4.23652e-10 1.09606e-09 1.03600e-09 -2.40942e-09 4.57483e-11 -4.54334e-10 1.46547e-09 -1.50604e-10 -1.21378e-09
# precision: tgt 2.00e-03 max 7.62e-03 (381.0%) avg 8.79e-04 (43.9%)
2.27842e-01 1.10932e-03 -7.24558e-04 -1.23734e-04 1.55834e-06 -2.87126e-06 -4.45501e-07 3.74924e-07 1.03263e-06 -9.96596e-08 5.01633e-10 -2.73722e-09 -3.80746e-10 1.01910e-09 9.50819e-10 -3.42917e-11 1.70108e-10 -6.21003e-10 4.28104e-11 -1.55836e-09
# precision: tgt 2.00e-03 max 3.97e-03 (198.3%) avg 1.25e-03 (62.5%)
2.02177e+00 -4.12608e-04 4.49063e-04 1.36587e-05 -1.00918e-06 1.73310e-06 1.84864e-07 -1.03524e-06 -7.69546e-08 -8.32656e-07 -9.93625e-10 1.83309e-09 3.29777e-10 -1.95360e-09 -3.29248e-10 -1.04131e-09 9.33444e-10 1.70077e-10 1.23689e-09 2.11918e-09

#cal2k_z10_q3
4 10 2 20
# precision: tgt 2.00e-03 max 2.38e-03 (119.1%) avg 3.79e-04 (19.0%)
7.89287e-02 5.14859e-04 5.55732e-04 -1.10125e-04 1.11887e-06 2.07378e-06 7.43009e-08 1.21290e-06 -3.19014e-07 2.65558e-08 8.25420e-10 1.97027e-09 -2.61211e-10 2.12201e-09 -6.82645e-10 -4.00112e-11 8.35419e-10 -1.72014e-10 -1.50513e-12 3.99007e-10
# precision: tgt 2.00e-03 max 9.96e-03 (498.2%) avg 9.54e-04 (47.7%)
7.95662e-03 3.51625e-04 1.60775e-04 2.44801e-04 1.37748e-06 9.13210e-07 8.77750e-07 5.65110e-07 1.27974e-06 -2.04133e-07 1.41343e-09 1.30213e-09 7.88685e-10 9.89136e-10 1.53607e-09 8.06568e-11 4.70235e-10 6.99541e-10 1.13783e-10 -3.00849e-09
# precision: tgt 2.00e-03 max 3.61e-03 (180.3%) avg 1.19e-03 (59.4%)
1.99413e+00 -5.48503e-04 -4.94424e-04 -5.69622e-05 -1.18463e-06 -2.06449e-06 -1.25305e-07 -1.04619e-06 -8.86905e-08 -7.18773e-07 -1.02121e-09 -2.20024e-09 2.58200e-11 -2.03705e-09 -1.84100e-10 -8.84351e-10 -9.02206e-10 8.40140e-11 -2.50523e-10 -7.03180e-10

#cal2k_z10_q4
4 10 3 20
# precision: tgt 2.00e-03 max 7.62e-03 (381.2%) avg 1.09e-03 (54.7%)
-6.93640e-02 1.63308e-04 -6.74919e-04 6.04054e-05 6.91706e-08 1.59387e-06 3.46773e-07 -1.70634e-06 1.90331e-07 -3.63865e-07 -2.17868e-10 -5.57477e-10 -1.06686e-10 2.37236e-09 -3.23282e-10 5.24442e-10 -1.21114e-09 1.05022e-10 -7.28088e-10 2.34406e-11
# precision: tgt 2.00e-03 max 1.03e-02 (513.5%) avg 1.55e-03 (77.6%)
-2.92364e-01 1.63034e-03 -8.20973e-04 -4.13082e-05 -2.81303e-06 3.83277e-06 2.92900e-08 -1.18455e-07 2.97515e-07 3.30515e-07 1.44552e-09 -4.24184e-09 1.53873e-10 1.00458e-09 2.87507e-10 -7.90691e-10 5.07732e-10 -5.73391e-11 8.35345e-10 -1.86013e-09
# precision: tgt 2.00e-03 max 4.44e-03 (221.9%) avg 1.19e-03 (59.6%)
2.03833e+00 3.66384e-04 -3.66024e-04 4.37577e-05 -9.82942e-07 1.67211e-06 2.46317e-08 -1.10540e-06 7.79856e-08 -1.84456e-07 9.40077e-10 -2.01256e-09 -5.67044e-11 1.96002e-09 -1.16991e-10 6.76615e-10 -1.18425e-09 -2.22163e-11 4.08023e-10 1.55807e-09

#cal2k_z11_q1
4 11 0 20
# precision: tgt 2.00e-03 max 5.04e-03 (251.9%) avg 7.52e-04 (37.6%)
2.84516e-01 -1.45402e-03 -1.25156e-03 -1.54275e-04 2.31429e-06 4.53079e-06 1.10837e-06 1.67035e-06 7.23708e-07 -1.51941e-07 -1.09311e-09 -3.93985e-09 -6.96721e-10 -3.20221e-09 -1.29209e-09 3.19790e-10 -6.59891e-10 -8.36392e-10 3.39262e-10 -3.37992e-10
# precision: tgt 2.00e-03 max 8.26e-03 (412.9%) avg 9.44e-04 (47.2%)
2.67140e-01 -1.40021e-03 -9.24563e-04 -4.49107e-05 2.25485e-06 3.81603e-06 4.66240e-08 7.25394e-07 7.28000e-07 -2.01209e-07 -1.02820e-09 -3.88004e-09 1.82792e-10 -1.80185e-09 -3.55748e-10 -2.26533e-10 -4.52183e-11 -2.93499e-10 -7.18443e-11 3.91810e-09
# precision: tgt 2.00e-03 max 4.01e-03 (200.3%) avg 1.25e-03 (62.5%)
2.09524e+00 1.10427e-05 7.64180e-05 9.31920e-05 -3.13174e-07 -3.65772e-07 -2.69120e-07 -4.51641e-07 -3.21775e-07 -7.18005e-07 5.85616e-10 6.17229e-10 1.48265e-10 8.17144e-10 4.30381e-10 1.28733e-09 6.70719e-10 2.31579e-10 1.16094e-09 -3.11293e-09

#cal2k_z11_q2
4 11 1 20
# precision: tgt 2.00e-03 max 4.88e-03 (244.1%) avg 7.21e-04 (36.0%)
-1.32405e-01 -5.85810e-04 5.48935e-04 4.14587e-04 -7.72900e-07 1.73506e-06 1.89653e-06 -6.62006e-07 -1.70155e-06 -3.73307e-07 -2.51718e-10 1.25916e-09 1.32038e-09 -1.10371e-09 -2.73812e-09 -4.75537e-10 1.97426e-10 1.76578e-09 3.78866e-10 1.63711e-09
# precision: tgt 2.00e-03 max 7.61e-03 (380.6%) avg 8.56e-04 (42.8%)
2.05154e-01 1.04803e-03 -5.80477e-04 1.82736e-06 1.57708e-06 -2.53803e-06 -4.40437e-08 1.39383e-07 6.42787e-07 -2.96862e-07 5.91780e-10 -2.67049e-09 -7.73855e-11 6.42390e-10 2.92899e-10 -4.50759e-10 2.40840e-10 -3.49526e-10 3.22230e-10 8.50374e-10
# precision: tgt 2.00e-03 max 3.85e-03 (192.3%) avg 1.24e-03 (62.2%)
2.02948e+00 -3.83859e-04 4.19810e-04 -8.36238e-05 -9.83745e-07 1.66266e-06 -4.54897e-07 -1.01802e-06 3.98145e-07 -5.47963e-07 -9.95082e-10 1.80803e-09 -6.54101e-10 -1.92982e-09 8.41819e-10 -5.91712e-10 9.53462e-10 -5.03412e-10 6.04220e-10 -9.35705e-10

#cal2k_z11_q3
4 11 2 20
# precision: tgt 2.00e-03 max 2.27e-03 (113.6%) avg 4.00e-04 (20.0%)
-3.68332e-03 1.73357e-04 8.62196e-05 -2.78021e-05 7.20669e-07 6.25046e-07 2.12139e-07 3.80101e-07 -1.32912e-07 -2.46202e-07 7.26013e-10 9.77538e-10 -3.21658e-10 6.81640e-10 -3.51311e-10 -3.80099e-10 3.95702e-10 -1.55433e-10 -2.81534e-10 9.52105e-10
# precision: tgt 2.00e-03 max 9.80e-03 (490.1%) avg 8.82e-04 (44.1%)
-1.21912e-01 -3.07250e-04 -4.67595e-04 1.19008e-04 3.35255e-07 -1.29154e-06 5.77040e-07 -3.96673e-07 8.94948e-07 4.42093e-07 9.22320e-10 -5.54060e-10 6.94920e-10 -7.66718e-10 9.54816e-10 6.47953e-10 1.35694e-11 4.54277e-10 2.13621e-10 -2.14241e-09
# precision: tgt 2.00e-03 max 3.61e-03 (180.5%) avg 1.17e-03 (58.5%)
2.00932e+00 -4.60007e-04 -4.21786e-04 4.94601e-05 -1.01914e-06 -1.79732e-06 -8.67085e-08 -9.41900e-07 -1.00256e-07 -8.47184e-07 -9.22161e-10 -1.96149e-09 -4.75365e-10 -1.84210e-09 -2.41810e-10 -9.55472e-10 -8.64824e-10 -4.75705e-10 -8.16023e-10 6.52961e-10

#cal2k_z11_q4
4 11 3 20
# precision: tgt 2.00e-03 max 5.25e-03 (262.7%) avg 7.89e-04 (39.4%)
-3.05917e-02 6.96232e-05 -3.93861e-04 -6.67104e-06 4.93950e-08 9.32696e-07 5.48916e-07 -1.11273e-06 -4.47308e-08 5.48551e-08 -1.30121e-10 -3.79150e-10 -2.53753e-10 1.46454e-09 1.40889e-10 -2.23867e-12 -8.45280e-10 -7.65717e-11 1.04815e-10 -3.46854e-10
# precision: tgt 2.00e-03 max 9.99e-03 (499.5%) avg 1.61e-03 (80.3%)
-3.22085e-01 1.73570e-03 -9.71817e-04 5.56150e-05 -2.87111e-06 4.18973e-06 -2.23472e-07 -3.69064e-07 5.60492e-07 -2.74306e-07 1.37154e-09 -4.46130e-09 2.58094e-10 1.22658e-09 -2.70426e-10 2.20433e-11 3.62617e-10 7.94492e-11 -2.72173e-10 2.95308e-09
# precision: tgt 2.00e-03 max 3.73e-03 (186.7%) avg 1.17e-03 (58.4%)
2.01188e+00 5.03349e-04 -4.83338e-04 1.69156e-04 -1.23012e-06 2.04086e-06 -8.04300e-07 -1.25280e-06 5.82275e-07 -4.22658e-07 1.10336e-09 -2.27560e-09 8.71463e-10 2.19558e-09 -1.23712e-09 6.43644e-10 -1.21942e-09 4.58459e-10 -2.48045e-11 1.63014e-09

#cal2k_z12_q1
4 12 0 20
# precision: tgt 2.00e-03 max 5.49e-03 (274.7%) avg 8.37e-04 (41.8%)
3.31089e-01 -1.63342e-03 -1.47709e-03 2.12657e-05 2.42803e-06 5.16185e-06 1.29438e-06 1.92693e-06 1.13639e-06 -4.49755e-06 -1.04457e-09 -4.28767e-09 -4.87185e-10 -3.67614e-09 -1.79222e-09 2.81422e-10 -7.36924e-10 -6.85447e-10 -1.28298e-09 2.06841e-08
# precision: tgt 2.00e-03 max 7.61e-03 (380.3%) avg 9.72e-04 (48.6%)
3.03174e-01 -1.50976e-03 -9.84612e-04 -9.73974e-04 2.34135e-06 3.88576e-06 2.06037e-06 7.13983e-07 2.87296e-06 4.56894e-06 -9.66823e-10 -3.90674e-09 -1.47408e-09 -1.56979e-09 -3.35244e-09 -2.01444e-09 -2.96138e-11 -1.85233e-09 -3.61523e-09 -9.93952e-09
# precision: tgt 2.00e-03 max 5.09e-03 (254.3%) avg 1.34e-03 (66.9%)
2.09652e+00 9.91816e-05 1.63495e-04 -5.28299e-04 -5.91164e-07 -8.17958e-07 6.74721e-07 -7.25550e-07 6.19244e-07 4.75881e-06 8.10511e-10 1.09351e-09 7.77199e-11 1.28919e-09 1.50541e-10 -5.07347e-09 8.97347e-10 6.90650e-11 -4.67381e-09 -1.27005e-08

#cal2k_z12_q2
4 12 1 20
# precision: tgt 2.00e-03 max 7.45e-03 (372.4%) avg 9.46e-04 (47.3%)
-2.23192e-01 -9.86841e-04 1.07137e-03 2.71101e-04 -1.31256e-06 3.33296e-06 1.66587e-06 -1.58412e-06 -1.71672e-06 1.84960e-06 -4.88807e-10 2.39999e-09 8.43676e-10 -2.62701e-09 -2.54943e-09 -3.39003e-10 7.14495e-10 1.65377e-09 6.80197e-10 -9.73966e-09
# precision: tgt 2.00e-03 max 7.32e-03 (365.9%) avg 9.67e-04 (48.4%)
1.68303e-01 8.69300e-04 -3.58447e-04 -1.84336e-04 1.28895e-06 -1.80139e-06 -4.58390e-07 -2.61447e-07 1.20225e-06 8.10389e-07 4.06101e-10 -2.14679e-09 -4.28456e-10 -1.11526e-10 7.42344e-10 1.03497e-09 4.47979e-10 -7.96115e-10 -1.84305e-09 1.56647e-09
# precision: tgt 2.00e-03 max 5.00e-03 (250.0%) avg 1.29e-03 (64.4%)
2.04778e+00 -2.96017e-04 3.39621e-04 -3.62235e-05 -7.91425e-07 1.28983e-06 6.15102e-07 -8.97371e-07 -5.41463e-07 2.39422e-06 -8.32802e-10 1.38895e-09 7.93869e-10 -1.53698e-09 -1.37171e-09 1.07749e-09 9.04046e-10 7.80194e-10 -1.46491e-09 -1.14034e-08

#cal2k_z12_q3
4 12 2 20
# precision: tgt 2.00e-03 max 4.18e-03 (208.8%) avg 5.15e-04 (25.7%)
-6.61009e-02 -4.37872e-05 -1.90535e-04 3.43243e-04 5.48739e-07 -6.11378e-08 1.38665e-06 7.05273e-09 1.05656e-06 -5.82350e-07 7.70811e-10 6.87756e-10 9.19528e-10 1.87708e-10 1.78909e-09 3.73986e-10 2.83345e-10 1.16618e-09 7.15361e-10 1.59210e-09
# precision: tgt 2.00e-03 max 1.01e-02 (503.9%) avg 9.83e-04 (49.1%)
-2.11117e-01 -7.66585e-04 -8.95019e-04 9.88079e-05 -4.07077e-07 -2.75950e-06 9.24776e-07 -9.87176e-07 1.54493e-06 2.38613e-06 5.22586e-10 -1.80127e-09 7.26472e-10 -1.83881e-09 1.80216e-09 -2.84309e-10 -2.14421e-10 1.13004e-09 -1.06535e-10 -1.07479e-08
# precision: tgt 2.00e-03 max 4.14e-03 (206.9%) avg 1.18e-03 (58.8%)
2.01268e+00 -4.62841e-04 -4.28253e-04 -1.47915e-04 -1.00383e-06 -1.78689e-06 1.45181e-07 -9.50833e-07 8.17057e-08 1.97143e-06 -8.62556e-10 -1.88774e-09 4.45787e-10 -1.78148e-09 5.54103e-10 1.09599e-09 -8.38342e-10 3.97552e-10 1.49377e-09 -9.32550e-09

#cal2k_z12_q4
4 12 3 20
# precision: tgt 2.00e-03 max 5.50e-03 (274.8%) avg 7.60e-04 (38.0%)
-5.33187e-02 1.62145e-04 -4.81001e-04 3.79985e-04 -6.78048e-08 1.14671e-06 -4.81308e-07 -1.24206e-06 1.04833e-06 -1.38532e-06 -7.88053e-11 -5.59884e-10 1.06382e-10 1.57198e-09 -1.08375e-09 3.28720e-09 -9.45698e-10 5.20977e-10 -2.79073e-09 1.42616e-10
# precision: tgt 2.00e-03 max 1.04e-02 (518.9%) avg 1.60e-03 (79.9%)
-3.96811e-01 2.09988e-03 -1.30781e-03 -4.34547e-05 -3.38000e-06 5.31201e-06 -4.97333e-07 -7.73214e-07 9.48111e-07 2.51934e-06 1.57721e-09 -5.35801e-09 2.87869e-10 1.98221e-09 -7.88181e-10 6.80349e-10 2.66529e-10 6.05273e-10 3.19018e-10 -1.10613e-08
# precision: tgt 2.00e-03 max 4.13e-03 (206.5%) avg 1.21e-03 (60.5%)
2.06360e+00 2.91209e-04 -2.92986e-04 -9.26665e-04 -9.20669e-07 1.58770e-06 2.15775e-06 -9.57384e-07 -1.92427e-06 5.36887e-06 9.44359e-10 -1.97431e-09 -1.21764e-09 1.92521e-09 2.29858e-09 -5.65798e-09 -1.02903e-09 -1.22892e-09 4.39722e-09 -1.57036e-08

#cal2k_z13_q1
4 13 0 20
# precision: tgt 2.00e-03 max 5.27e-03 (263.4%) avg 8.95e-04 (44.7%)
3.47134e-01 -1.66446e-03 -1.47370e-03 -1.04268e-04 2.33175e-06 5.18791e-06 1.00133e-06 1.80611e-06 2.34288e-07 4.41555e-07 -8.57978e-10 -4.28531e-09 -1.01946e-10 -3.66001e-09 -9.16032e-11 -2.10102e-09 -5.29451e-10 -2.61422e-10 -4.43823e-10 -1.02031e-10
# precision: tgt 2.00e-03 max 7.15e-03 (357.3%) avg 9.26e-04 (46.3%)
2.48381e-01 -1.33631e-03 -7.39783e-04 -1.63785e-04 2.20901e-06 3.46055e-06 -1.46598e-07 3.40853e-07 6.83205e-07 1.61266e-06 -9.57387e-10 -3.99825e-09 4.53695e-10 -1.33615e-09 6.74135e-10 -1.35777e-09 1.12470e-10 1.41640e-10 -2.16060e-09 -2.34542e-09
# precision: tgt 2.00e-03 max 3.98e-03 (199.1%) avg 1.28e-03 (64.0%)
2.08096e+00 1.66335e-04 2.15910e-04 -1.03744e-04 -6.96411e-07 -9.54682e-07 2.90090e-08 -7.78813e-07 6.86325e-08 -9.22616e-08 8.92472e-10 1.25029e-09 -5.35881e-11 1.41830e-09 -1.67214e-10 3.54567e-10 9.06868e-10 1.15873e-12 8.09265e-11 -2.46655e-10

#cal2k_z13_q2
4 13 1 20
# precision: tgt 2.00e-03 max 8.09e-03 (404.3%) avg 1.15e-03 (57.5%)
-2.14729e-01 -9.68370e-04 1.04664e-03 8.68065e-05 -1.22950e-06 3.33817e-06 1.30166e-06 -1.59252e-06 -5.46770e-07 2.94105e-07 -3.99831e-10 2.35284e-09 6.20072e-10 -2.79538e-09 -1.12759e-09 -1.11368e-09 7.15936e-10 7.56321e-10 -5.38348e-10 -1.60358e-10
# precision: tgt 2.00e-03 max 7.44e-03 (371.9%) avg 1.08e-03 (54.2%)
1.46260e-01 8.62884e-04 -2.71102e-04 1.52393e-04 1.34362e-06 -1.63836e-06 -4.61541e-07 -4.62981e-07 1.05100e-06 -1.73389e-06 4.87899e-10 -2.19300e-09 -2.60903e-10 -3.06423e-10 2.46984e-10 1.39644e-09 5.38376e-10 -3.02090e-10 -1.92200e-09 6.27287e-09
# precision: tgt 2.00e-03 max 3.91e-03 (195.3%) avg 1.27e-03 (63.5%)
2.06634e+00 -2.24223e-04 2.77921e-04 -1.12056e-04 -7.07664e-07 1.15680e-06 -8.01907e-08 -8.40761e-07 6.86246e-08 -8.45055e-08 -8.11781e-10 1.40352e-09 -8.91162e-11 -1.57202e-09 4.39398e-10 -5.68066e-10 9.09661e-10 -1.07197e-10 7.62111e-10 -1.22319e-09

#cal2k_z13_q3
4 13 2 20
# precision: tgt 2.00e-03 max 4.13e-03 (206.7%) avg 6.15e-04 (30.8%)
-3.79250e-02 -4.33512e-07 -1.36235e-04 -3.30482e-04 6.37129e-07 -7.03266e-08 4.99004e-07 5.79740e-08 -3.92188e-07 1.76313e-06 8.00241e-10 6.17419e-10 -1.83257e-10 -1.40933e-11 -4.99105e-10 -1.44258e-09 3.10800e-10 -2.22270e-10 3.72408e-10 -4.26130e-09
# precision: tgt 2.00e-03 max 9.27e-03 (463.7%) avg 1.08e-03 (54.1%)
-2.86253e-01 -1.11822e-03 -1.22896e-03 1.69017e-04 -9.26025e-07 -3.92632e-06 6.44766e-07 -1.41743e-06 1.43806e-06 2.17373e-07 3.06990e-10 -2.79107e-09 4.70721e-10 -2.74773e-09 1.18523e-09 -2.17090e-10 -3.88653e-10 6.38010e-10 -1.39246e-09 -8.11754e-10
# precision: tgt 2.00e-03 max 3.88e-03 (194.0%) avg 1.18e-03 (59.0%)
2.01206e+00 -4.45872e-04 -4.18231e-04 -8.58943e-05 -8.96058e-07 -1.72370e-06 2.16139e-07 -8.96397e-07 6.92536e-08 4.03226e-07 -7.85950e-10 -1.80412e-09 3.29763e-11 -1.73488e-09 2.70687e-10 -2.75627e-10 -8.14520e-10 -1.27149e-11 2.46958e-10 -1.13276e-09

#cal2k_z13_q4
4 13 3 20
# precision: tgt 2.00e-03 max 3.76e-03 (188.1%) avg 7.25e-04 (36.3%)
-8.67205e-02 4.62188e-04 -7.14088e-04 8.11702e-07 -7.73640e-07 2.19907e-06 2.45617e-07 -1.74116e-06 3.26930e-07 8.64150e-07 3.60870e-10 -1.68682e-09 3.54129e-10 2.47589e-09 -5.90599e-10 -8.30703e-10 -1.30600e-09 2.49070e-10 4.98697e-11 -2.34418e-09
# precision: tgt 2.00e-03 max 1.06e-02 (527.8%) avg 1.57e-03 (78.4%)
-4.69976e-01 2.41038e-03 -1.64298e-03 9.11861e-05 -3.79631e-06 6.42521e-06 -1.12797e-08 -1.24357e-06 8.66744e-07 -7.16538e-07 1.67188e-09 -6.23790e-09 1.52237e-10 2.87329e-09 -1.98033e-10 -3.27187e-10 7.44332e-11 3.87322e-10 -1.08132e-09 2.18258e-09
# precision: tgt 2.00e-03 max 3.42e-03 (170.9%) avg 1.14e-03 (57.1%)
2.02246e+00 3.79286e-04 -3.42834e-04 1.22157e-04 -8.85265e-07 1.45160e-06 -3.65926e-07 -8.11335e-07 2.44818e-07 -9.20605e-07 8.56595e-10 -1.61260e-09 2.15620e-10 1.52183e-09 -4.71003e-10 4.22027e-10 -8.08009e-10 1.15694e-10 -1.84428e-11 1.99118e-09

#cal2k_z14_q1
4 14 0 20
# precision: tgt 2.00e-03 max 5.83e-03 (291.7%) avg 9.58e-04 (47.9%)
5.62830e-01 -2.16123e-03 -2.10726e-03 -1.74407e-03 3.21732e-06 7.10717e-06 6.03419e-07 2.87119e-06 1.10599e-06 7.40956e-06 -1.49782e-09 -6.02851e-09 6.73877e-10 -5.47055e-09 -3.39207e-11 -5.78316e-10 -1.28250e-09 3.39806e-11 -2.47172e-09 -1.04767e-08
# precision: tgt 2.00e-03 max 8.14e-03 (407.2%) avg 1.10e-03 (54.8%)
5.68409e-01 -1.83869e-03 -1.19010e-03 -4.07823e-03 2.79514e-06 4.85989e-06 1.42327e-06 1.23553e-06 6.61563e-07 2.17991e-05 -1.29839e-09 -5.18495e-09 6.31942e-10 -2.72196e-09 6.91611e-10 -5.25583e-09 -5.16130e-10 1.16851e-10 -8.00789e-10 -3.78023e-08
# precision: tgt 2.00e-03 max 4.38e-03 (219.0%) avg 1.35e-03 (67.3%)
1.96772e+00 7.71925e-05 1.95078e-04 2.01448e-03 -7.61888e-07 -1.16469e-06 1.62063e-06 -9.24127e-07 9.86009e-07 -1.39479e-05 9.03492e-10 1.37255e-09 1.45556e-10 1.54833e-09 4.29976e-10 -5.29134e-09 9.92668e-10 3.88060e-10 -3.73322e-09 3.03866e-08

#cal2k_z14_q2
4 14 1 20
# precision: tgt 2.00e-03 max 8.45e-03 (422.5%) avg 1.25e-03 (62.4%)
-3.58267e-01 -1.23687e-03 1.37171e-03 1.40981e-03 -1.82934e-06 4.54797e-06 1.80085e-07 -2.17973e-06 -3.71499e-07 -7.03281e-06 -8.32223e-10 3.59770e-09 -1.67935e-10 -3.99611e-09 -1.19862e-10 1.16859e-09 1.17824e-09 -1.21621e-10 7.26642e-10 1.22724e-08
# precision: tgt 2.00e-03 max 8.42e-03 (421.0%) avg 1.20e-03 (60.2%)
2.81100e-01 7.83078e-04 -9.22146e-05 -2.54088e-03 1.22783e-06 -1.22974e-06 -6.83930e-07 -7.08504e-07 4.36577e-07 1.33125e-05 5.40218e-10 -2.06050e-09 2.45385e-10 -5.88956e-10 -2.15175e-10 2.29346e-09 5.72185e-10 2.67434e-10 -2.38527e-11 -2.28337e-08
# precision: tgt 2.00e-03 max 4.11e-03 (205.3%) avg 1.33e-03 (66.6%)
2.03204e+00 -6.50605e-05 1.42896e-04 9.02379e-04 -7.24257e-07 1.27324e-06 -2.11716e-06 -9.13546e-07 1.98139e-06 -8.65614e-06 -8.88210e-10 1.52495e-09 -3.96847e-10 -1.69619e-09 2.15898e-10 5.49563e-09 9.85509e-10 -6.64707e-11 -5.45866e-09 2.14151e-08

#cal2k_z14_q3
4 14 2 20
# precision: tgt 2.00e-03 max 4.45e-03 (222.4%) avg 7.69e-04 (38.4%)
-2.30947e-01 -1.71593e-04 -4.38749e-04 2.40678e-03 2.07692e-07 -8.04997e-07 4.73354e-08 -4.36253e-07 6.31140e-07 -1.36261e-05 6.06290e-10 6.40486e-11 6.63092e-10 -6.85045e-10 1.26955e-10 2.20789e-09 -1.27972e-11 1.58130e-10 -1.55305e-09 2.57269e-08
# precision: tgt 2.00e-03 max 1.00e-02 (500.2%) avg 1.17e-03 (58.4%)
-3.22980e-01 -9.87362e-04 -1.03928e-03 8.58337e-04 -6.49370e-07 -3.85590e-06 -5.65432e-07 -1.29360e-06 -1.14158e-06 -5.43099e-06 4.82450e-10 -2.70064e-09 -5.59656e-10 -2.88096e-09 -2.20991e-10 9.53297e-10 -3.56557e-10 -6.61193e-10 3.69255e-09 1.12570e-08
# precision: tgt 2.00e-03 max 4.04e-03 (201.9%) avg 1.22e-03 (61.1%)
2.08917e+00 -4.96940e-05 -5.40403e-05 -2.94903e-04 -5.66563e-07 -1.27005e-06 -2.98060e-06 -6.17832e-07 -2.85539e-06 -3.52366e-06 -6.45102e-10 -1.67081e-09 -1.30961e-09 -1.62980e-09 -2.22245e-09 4.51687e-09 -7.65047e-10 -1.48224e-09 4.02669e-09 1.08974e-08

#cal2k_z14_q4
4 14 3 20
# precision: tgt 2.00e-03 max 4.05e-03 (202.3%) avg 8.51e-04 (42.6%)
2.59884e-01 -3.44902e-05 -1.13293e-04 -4.04772e-03 -1.15181e-07 7.66139e-07 1.23021e-06 -1.00039e-06 -1.71734e-06 2.05569e-05 5.22527e-11 -6.22735e-10 -1.55785e-10 1.31489e-09 4.25038e-10 -9.76623e-10 -8.73061e-10 5.73339e-12 3.98912e-09 -3.57907e-08
# precision: tgt 2.00e-03 max 1.10e-02 (547.9%) avg 1.60e-03 (80.2%)
-6.57905e-01 2.72179e-03 -1.96627e-03 1.88693e-03 -4.06430e-06 7.42776e-06 -7.37672e-07 -1.72079e-06 8.55227e-07 -8.44341e-06 1.77772e-09 -6.79110e-09 1.01378e-10 3.64977e-09 -1.50145e-09 -9.01077e-11 -2.02944e-10 3.34412e-10 1.41826e-09 1.53054e-08
# precision: tgt 2.00e-03 max 4.10e-03 (205.0%) avg 1.19e-03 (59.5%)
2.03647e+00 6.95141e-06 -3.11633e-05 7.31643e-04 -5.34552e-07 1.09732e-06 2.92276e-06 -5.73660e-07 -2.60988e-06 -9.03701e-06 6.53511e-10 -1.50431e-09 -1.18192e-09 1.48398e-09 2.04658e-09 -4.70928e-09 -7.65162e-10 -1.41578e-09 3.64303e-09 2.11314e-08

#cal2k_z15_q1
4 15 0 20
# precision: tgt 2.00e-03 max 6.08e-03 (304.0%) avg 9.62e-04 (48.1%)
4.73785e-01 -2.40118e-03 -2.24986e-03 -1.16664e-04 3.68769e-06 7.77433e-06 1.10358e-06 3.35688e-06 5.69640e-07 -9.02728e-08 -1.66679e-09 -6.53868e-09 -3.80517e-10 -6.06486e-09 -5.26475e-10 -4.65320e-10 -1.59994e-09 -4.03501e-10 -4.46289e-10 4.81859e-10
# precision: tgt 2.00e-03 max 8.44e-03 (422.1%) avg 1.08e-03 (53.9%)
3.31212e-01 -2.02739e-03 -1.52506e-03 6.22130e-04 3.35962e-06 6.06161e-06 -1.61758e-07 1.84481e-06 5.39610e-07 -2.63731e-06 -1.51987e-09 -6.05989e-09 8.04972e-11 -3.69523e-09 4.05957e-11 2.06461e-10 -8.93822e-10 9.60138e-11 4.46203e-11 3.80253e-09
# precision: tgt 2.00e-03 max 4.77e-03 (238.4%) avg 1.27e-03 (63.7%)
1.90382e+00 5.42347e-04 5.43908e-04 1.46624e-03 -7.69073e-07 -8.42373e-07 -3.64358e-06 -8.63628e-07 -3.27116e-06 -2.06165e-06 7.29057e-10 9.46118e-10 1.25079e-09 1.10078e-09 1.07478e-09 6.68340e-09 8.57927e-10 1.09834e-09 6.01191e-09 -4.69098e-09

#cal2k_z15_q2
4 15 1 20
# precision: tgt 2.00e-03 max 8.87e-03 (443.4%) avg 1.23e-03 (61.3%)
-1.99581e-01 -1.25436e-03 1.32189e-03 -7.85821e-04 -1.89188e-06 4.59490e-06 2.52028e-07 -2.28508e-06 3.29008e-07 3.08725e-06 -8.38789e-10 3.73262e-09 -1.10570e-10 -4.13476e-09 4.37778e-10 1.99510e-10 1.26068e-09 -9.36874e-11 -3.18654e-10 -4.41520e-09
# precision: tgt 2.00e-03 max 8.50e-03 (425.2%) avg 1.18e-03 (59.0%)
8.42197e-02 5.78075e-04 8.88536e-05 9.82440e-05 1.16408e-06 -9.71346e-07 9.13624e-07 -9.12376e-07 -4.46282e-07 7.84725e-07 5.34315e-10 -2.02595e-09 5.51727e-10 -7.76274e-10 -1.01965e-09 -6.63354e-10 6.86597e-10 5.80556e-10 9.76588e-10 -1.79969e-09
# precision: tgt 2.00e-03 max 4.86e-03 (243.2%) avg 1.27e-03 (63.3%)
1.88396e+00 -7.48129e-04 7.07799e-04 1.30770e-03 -1.05043e-06 1.44637e-06 3.87530e-06 -1.12739e-06 -3.16080e-06 -1.59371e-06 -8.90063e-10 1.48339e-09 1.12841e-09 -1.62899e-09 -8.56341e-10 -7.49849e-09 9.75535e-10 9.99517e-10 6.06014e-09 -5.30798e-09

#cal2k_z15_q3
4 15 2 20
# precision: tgt 2.00e-03 max 4.70e-03 (235.1%) avg 8.90e-04 (44.5%)
-2.96632e-02 -6.92234e-05 -2.45008e-04 -4.51768e-04 3.41215e-07 -6.00570e-07 -1.50727e-07 -3.53150e-07 -7.10711e-07 1.17387e-06 4.92011e-10 -6.41359e-11 -5.78519e-10 -7.90128e-10 -1.30187e-09 1.37279e-11 -9.72275e-11 -6.54420e-10 -4.34474e-11 -1.79595e-09
# precision: tgt 2.00e-03 max 9.46e-03 (473.0%) avg 1.21e-03 (60.6%)
-2.45483e-01 -1.03524e-03 -1.22187e-03 -5.25060e-04 -6.30528e-07 -3.88969e-06 -1.57532e-07 -1.36560e-06 4.00108e-07 2.19848e-06 6.40016e-10 -2.50915e-09 1.15057e-10 -2.77162e-09 3.62336e-10 7.18183e-10 -2.32424e-10 1.76079e-10 6.52504e-10 -2.70420e-09
# precision: tgt 2.00e-03 max 4.47e-03 (223.5%) avg 1.13e-03 (56.7%)
1.92037e+00 -8.72370e-04 -8.52228e-04 -2.16103e-04 -1.03004e-06 -2.22966e-06 2.41161e-06 -1.13968e-06 2.14140e-06 4.27068e-06 -6.01564e-10 -1.87178e-09 6.47139e-10 -1.87203e-09 9.28579e-10 -4.22578e-09 -7.74207e-10 4.92891e-10 -3.71035e-09 -1.19053e-08

#cal2k_z15_q4
4 15 3 20
# precision: tgt 2.00e-03 max 3.80e-03 (190.2%) avg 8.11e-04 (40.6%)
-1.21746e-02 1.93279e-05 -2.87794e-04 1.09572e-04 -6.64844e-09 6.52643e-07 1.78194e-07 -9.89370e-07 3.43838e-07 -9.22966e-08 -6.97098e-11 -3.15558e-10 3.49431e-10 1.11998e-09 -6.04014e-10 4.96929e-11 -8.50665e-10 4.01838e-10 6.06068e-11 1.11562e-10
# precision: tgt 2.00e-03 max 1.07e-02 (534.9%) avg 1.56e-03 (77.9%)
-5.35930e-01 2.94124e-03 -2.22238e-03 -3.72334e-04 -4.69357e-06 8.32882e-06 -1.90765e-07 -2.27053e-06 9.01596e-07 1.90898e-06 2.12364e-09 -7.69966e-09 4.79644e-10 4.53107e-09 -8.36259e-10 -6.78541e-10 -5.00317e-10 5.48238e-10 2.40429e-10 -2.36923e-09
# precision: tgt 2.00e-03 max 4.44e-03 (221.8%) avg 1.08e-03 (54.2%)
1.90899e+00 8.04501e-04 -8.23872e-04 1.62122e-06 -8.92149e-07 1.94572e-06 -2.50110e-06 -9.97685e-07 2.56433e-06 3.81038e-06 5.04594e-10 -1.54136e-09 7.69569e-10 1.54654e-09 -1.28524e-09 4.03455e-09 -6.82149e-10 6.09166e-10 -4.22355e-09 -1.15664e-08

#cal2k_z16_q1
4 16 0 20
# precision: tgt 2.00e-03 max 6.41e-03 (320.3%) avg 9.52e-04 (47.6%)
8.57486e-01 -2.29936e-03 -2.05346e-03 -4.47022e-03 3.55622e-06 7.69806e-06 4.56265e-08 3.09201e-06 -8.08067e-07 1.70866e-05 -1.61313e-09 -6.68808e-09 5.39917e-10 -6.03532e-09 7.12535e-10 2.79203e-10 -1.47041e-09 4.94696e-10 8.36278e-10 -2.14242e-08
# precision: tgt 2.00e-03 max 9.14e-03 (457.2%) avg 1.12e-03 (56.1%)
1.88351e-01 -1.29776e-03 -6.70389e-04 6.78732e-04 2.23363e-06 3.58341e-06 -1.04513e-06 2.37893e-07 -3.74712e-07 -1.68316e-06 -9.12885e-10 -3.99124e-09 3.55441e-10 -1.29477e-09 2.74246e-10 1.71936e-09 1.29279e-10 6.02125e-10 1.43357e-09 9.72607e-10
# precision: tgt 2.00e-03 max 4.77e-03 (238.6%) avg 1.49e-03 (74.6%)
2.17961e+00 1.72713e-04 1.29687e-04 -1.30200e-03 1.11821e-07 4.19907e-07 -2.55401e-06 1.90991e-07 -2.22991e-06 7.13431e-06 2.09427e-10 -2.11886e-10 3.13510e-10 -2.04425e-10 6.68157e-10 3.90529e-09 1.29711e-10 2.71729e-10 3.36184e-09 -1.23498e-08

#cal2k_z16_q2
4 16 1 20
# precision: tgt 2.00e-03 max 7.06e-03 (353.1%) avg 1.36e-03 (68.1%)
-4.44095e-01 -1.17607e-03 1.22400e-03 2.17088e-03 -1.60066e-06 4.05741e-06 7.08941e-07 -1.98038e-06 -1.15607e-07 -7.71001e-06 -6.62601e-10 3.18373e-09 -1.34783e-10 -3.50137e-09 -1.61442e-10 -2.15802e-11 1.13296e-09 -7.40052e-11 -1.75353e-10 9.59605e-09
# precision: tgt 2.00e-03 max 9.26e-03 (463.0%) avg 1.24e-03 (62.2%)
2.91635e-02 3.93788e-04 3.40980e-04 4.48048e-04 8.30795e-07 -2.74185e-07 1.20840e-06 -1.52556e-06 -6.89863e-07 -5.35620e-07 2.96657e-10 -1.28857e-09 4.65987e-10 -1.66246e-09 -5.66822e-10 -1.75822e-09 1.16228e-09 6.60959e-10 1.78870e-09 -5.95529e-10
# precision: tgt 2.00e-03 max 4.62e-03 (230.9%) avg 1.50e-03 (75.2%)
2.17893e+00 2.38723e-04 -1.16564e-04 -6.72616e-04 1.32639e-07 -3.17249e-07 -5.94230e-07 5.53349e-08 -2.42870e-08 2.28701e-06 -2.13546e-10 -1.12314e-10 7.80030e-11 7.88108e-13 -3.61233e-10 1.46853e-09 2.34223e-10 2.00427e-10 -4.03043e-10 -3.59959e-09

#cal2k_z16_q3
4 16 2 20
# precision: tgt 2.00e-03 max 4.14e-03 (207.2%) avg 7.05e-04 (35.2%)
1.75752e-01 6.55082e-05 -6.33405e-05 -2.23847e-03 3.59530e-07 -4.79199e-07 -7.03664e-07 -4.57196e-07 -1.67289e-06 6.96856e-06 3.68595e-10 -1.84579e-10 -9.89240e-10 -7.59709e-10 -1.19458e-09 1.05201e-09 -3.42803e-10 -6.22077e-10 2.20302e-09 -7.38587e-09
# precision: tgt 2.00e-03 max 9.51e-03 (475.4%) avg 1.29e-03 (64.3%)
-3.44655e-01 -1.45404e-03 -1.81260e-03 -4.52662e-04 -1.32011e-06 -5.56745e-06 -4.71063e-07 -2.17833e-06 1.09540e-06 1.83266e-06 2.17100e-10 -3.71643e-09 -1.36396e-10 -4.13416e-09 8.80079e-10 1.56246e-09 -6.43295e-10 2.10256e-10 -2.07051e-10 -1.58176e-09
# precision: tgt 2.00e-03 max 4.11e-03 (205.7%) avg 1.18e-03 (59.2%)
1.94947e+00 -3.19616e-04 -2.96561e-04 4.68387e-04 -3.03778e-07 -9.02814e-07 3.18601e-07 2.79545e-08 8.47079e-07 -9.47054e-07 -2.90344e-10 -1.05109e-09 -3.89021e-10 -6.46456e-10 -1.28225e-10 -7.00320e-10 -1.53789e-10 -1.03198e-09 -2.18973e-09 -9.17951e-10

#cal2k_z16_q4
4 16 3 20
# precision: tgt 2.00e-03 max 4.24e-03 (212.1%) avg 9.13e-04 (45.6%)
-1.79208e-01 4.67160e-06 -2.21778e-04 2.15435e-03 2.04624e-07 -4.39834e-07 -1.60163e-06 -3.30745e-07 2.50422e-06 -5.75559e-06 -2.46456e-10 7.75717e-10 1.44068e-09 -2.63051e-10 -1.87714e-09 1.91792e-09 -2.50992e-10 1.27913e-09 -2.68256e-09 5.36285e-09
# precision: tgt 2.00e-03 max 1.15e-02 (573.1%) avg 1.61e-03 (80.7%)
-7.15759e-01 3.14446e-03 -2.50509e-03 1.06833e-03 -5.09499e-06 9.31873e-06 4.45673e-07 -2.66045e-06 8.19693e-07 -3.92914e-06 2.45515e-09 -8.59145e-09 -2.34410e-10 5.48276e-09 -3.27042e-10 -1.08631e-09 -7.00670e-10 1.22261e-10 -9.64355e-11 5.32363e-09
# precision: tgt 2.00e-03 max 4.27e-03 (213.3%) avg 1.13e-03 (56.3%)
1.93861e+00 8.19747e-04 -7.98896e-04 -4.11565e-04 -5.93500e-07 1.60103e-06 -2.68257e-06 -3.91089e-07 2.94178e-06 4.44224e-06 3.77470e-10 -1.38262e-09 6.42976e-12 1.08865e-09 -8.15567e-10 4.14248e-09 -3.92442e-10 -6.87656e-10 -5.11249e-09 -9.43331e-09

#cal2k_z17_q1
4 17 0 20
# precision: tgt 2.00e-03 max 6.77e-03 (338.4%) avg 1.01e-03 (50.7%)
6.26994e-01 -1.35938e-03 -1.45139e-03 -2.83249e-03 3.13494e-06 6.97847e-06 -4.66753e-06 2.64649e-06 -3.18197e-06 1.21620e-05 -1.49791e-09 -6.27321e-09 1.26192e-09 -5.35536e-09 9.32306e-10 7.27305e-09 -1.30422e-09 7.56472e-10 4.49581e-09 -1.61334e-08
# precision: tgt 2.00e-03 max 9.04e-03 (451.9%) avg 1.16e-03 (58.1%)
-1.70351e-01 -1.02152e-03 -3.56178e-04 3.57944e-03 1.82212e-06 3.15478e-06 -1.49154e-06 2.73024e-08 -1.56250e-06 -1.02587e-05 -9.54236e-10 -4.01184e-09 1.64417e-09 -1.53737e-09 1.90036e-09 5.53991e-10 6.50986e-11 1.62270e-09 1.75054e-09 1.02950e-08
# precision: tgt 2.00e-03 max 4.63e-03 (231.3%) avg 1.41e-03 (70.7%)
2.76180e+00 3.79930e-04 2.75959e-04 -7.00100e-03 -5.28232e-07 -1.06116e-06 -4.30575e-07 -1.38451e-07 -3.75651e-07 2.19443e-05 5.29027e-10 1.23129e-09 -2.32795e-10 8.36250e-10 1.52172e-10 5.13992e-10 1.85620e-10 -1.27709e-10 3.55996e-10 -2.39717e-08

#cal2k_z17_q2
4 17 1 20
# precision: tgt 2.00e-03 max 8.47e-03 (423.3%) avg 1.39e-03 (69.3%)
-4.69558e-01 -2.21884e-04 4.49620e-04 3.57008e-03 -1.04867e-06 3.08710e-06 -3.53521e-06 -1.51062e-06 3.02537e-06 -1.40507e-05 -5.25757e-10 2.92540e-09 -1.35733e-09 -3.16377e-09 1.77545e-09 4.81297e-09 1.12495e-09 -1.14633e-09 -3.42949e-09 1.71416e-08
# precision: tgt 2.00e-03 max 9.35e-03 (467.4%) avg 1.27e-03 (63.7%)
-9.83367e-02 -4.07800e-05 7.86557e-04 8.66186e-04 -4.60801e-09 9.73110e-07 1.03938e-06 -1.97530e-06 -1.39564e-06 -1.84801e-06 5.15916e-11 -4.32648e-10 1.50507e-09 -2.18601e-09 -1.74196e-09 6.01994e-11 1.27052e-09 1.26194e-09 1.76930e-09 1.59175e-09
# precision: tgt 2.00e-03 max 4.76e-03 (238.0%) avg 1.40e-03 (70.1%)
2.36907e+00 -2.84117e-04 1.42840e-04 -3.15377e-03 -4.09771e-07 7.55147e-07 4.54875e-07 -1.59707e-07 5.20976e-08 1.00683e-05 -4.54909e-10 1.14338e-09 -3.34399e-10 -1.01111e-09 9.17918e-10 -1.33882e-09 3.43724e-10 -5.82999e-10 7.70766e-10 -1.24806e-08

#cal2k_z17_q3
4 17 2 20
# precision: tgt 2.00e-03 max 4.80e-03 (240.1%) avg 8.68e-04 (43.4%)
3.08920e-01 8.61545e-04 4.68118e-04 -1.89811e-03 8.83168e-07 3.96695e-07 -3.60137e-06 -3.80318e-07 -3.48269e-06 2.89417e-06 2.69211e-10 -2.46351e-10 -2.72352e-09 -1.01330e-09 -3.84199e-09 2.94470e-09 -7.91985e-10 -1.90652e-09 2.62702e-09 -1.27219e-09
# precision: tgt 2.00e-03 max 1.00e-02 (501.0%) avg 1.30e-03 (65.0%)
-2.44968e-01 -8.84862e-04 -1.22417e-03 -6.66964e-04 -1.99561e-07 -4.12937e-06 -1.41581e-06 -1.09753e-06 -3.43979e-07 1.47707e-06 8.30250e-10 -2.22199e-09 -1.01833e-09 -2.83515e-09 4.61165e-10 2.24017e-09 2.98535e-10 -1.06156e-10 1.82761e-09 -2.29521e-10
# precision: tgt 2.00e-03 max 4.64e-03 (231.9%) avg 1.08e-03 (53.9%)
2.20273e+00 -1.01180e-03 -6.01663e-04 -3.17207e-03 -6.49780e-07 -1.86163e-06 2.53885e-06 2.07069e-07 1.46402e-06 1.21258e-05 -3.33320e-10 -1.77448e-09 -3.67881e-10 -1.01627e-09 4.40053e-10 -3.52668e-09 -6.24871e-11 -1.94303e-09 -3.03335e-09 -1.56844e-08

#cal2k_z17_q4
4 17 3 20
# precision: tgt 2.00e-03 max 5.43e-03 (271.6%) avg 9.88e-04 (49.4%)
-5.31321e-01 9.26738e-04 -1.00810e-03 3.69614e-03 -3.43726e-07 6.68720e-07 -5.36586e-06 -8.41225e-07 5.27450e-06 -6.94454e-06 -1.40179e-10 4.72761e-10 2.62024e-09 2.72468e-10 -3.78044e-09 5.81911e-09 -3.58747e-10 1.98431e-09 -5.30580e-09 3.90824e-09
# precision: tgt 2.00e-03 max 1.18e-02 (589.7%) avg 1.63e-03 (81.7%)
-5.38250e-01 3.14068e-03 -2.79337e-03 -1.28956e-03 -4.89055e-06 1.00448e-05 1.18391e-06 -3.09521e-06 6.50664e-07 4.02972e-06 2.35919e-09 -8.61144e-09 -8.15235e-10 6.08811e-09 -1.06848e-09 -2.44375e-09 -7.57538e-10 4.50559e-10 1.08952e-09 -3.09447e-09
# precision: tgt 2.00e-03 max 4.35e-03 (217.3%) avg 1.07e-03 (53.4%)
2.39068e+00 1.31633e-03 -1.04948e-03 -5.61677e-03 -7.43925e-07 2.18250e-06 -3.87656e-06 2.42588e-08 3.49158e-06 2.11574e-05 3.38004e-10 -1.96502e-09 -3.47617e-10 1.26577e-09 -5.02002e-10 5.55163e-09 -1.14206e-10 -1.83353e-09 -6.00312e-09 -2.64157e-08

#cal2k_z18_q1
4 18 0 20
# precision: tgt 2.00e-03 max 6.50e-03 (325.2%) avg 1.05e-03 (52.6%)
6.98736e-01 -1.37521e-03 -9.16283e-04 -3.47608e-03 2.63966e-06 5.24853e-06 -1.67354e-06 1.57659e-06 -2.54995e-06 1.08549e-05 -1.57165e-09 -6.07837e-09 2.62491e-09 -4.53135e-09 3.81414e-09 2.73439e-11 -1.12047e-09 2.44216e-09 7.95063e-10 -1.01073e-08
# precision: tgt 2.00e-03 max 8.78e-03 (439.1%) avg 1.24e-03 (61.9%)
5.25560e-01 -1.04810e-04 -1.73736e-04 -3.38916e-03 6.30045e-07 1.88211e-06 -3.61055e-06 -2.91742e-07 -1.01696e-06 1.07629e-05 -4.56234e-10 -2.50778e-09 2.40050e-09 -8.14777e-10 1.64903e-09 3.21416e-09 2.24919e-10 1.52440e-09 1.21179e-09 -1.10427e-08
# precision: tgt 2.00e-03 max 4.16e-03 (208.1%) avg 1.01e-03 (50.6%)
2.84824e+00 9.46367e-04 6.29174e-04 -7.97199e-03 -1.35127e-06 -3.10360e-06 2.15230e-07 -4.70099e-07 6.68260e-07 2.17846e-05 9.60067e-10 3.04071e-09 -8.31189e-10 2.11569e-09 1.50211e-10 -3.62984e-10 2.76364e-10 -7.94979e-10 -1.08767e-09 -2.08228e-08

#cal2k_z18_q2
4 18 1 20
# precision: tgt 2.00e-03 max 9.51e-03 (475.3%) avg 1.57e-03 (78.6%)
-5.59661e-01 -4.46967e-04 6.70821e-05 3.99152e-03 -6.87624e-07 1.97150e-06 -2.70120e-07 -8.78909e-07 2.66663e-06 -1.18509e-05 -8.02518e-10 3.02418e-09 -2.82601e-09 -2.84674e-09 3.68589e-09 -1.71227e-09 1.38625e-09 -2.77294e-09 -1.02842e-09 1.08914e-08
# precision: tgt 2.00e-03 max 1.08e-02 (538.9%) avg 1.49e-03 (74.7%)
4.63590e-01 -6.06497e-04 8.53248e-04 -4.21960e-03 -9.89970e-07 2.19360e-06 1.63956e-06 -2.46878e-06 1.52024e-08 1.17836e-05 -1.10006e-10 4.73529e-10 2.82712e-09 -2.44587e-09 -2.72345e-09 2.96123e-11 1.13563e-09 2.57625e-09 -1.20431e-09 -1.05769e-08
# precision: tgt 2.00e-03 max 3.33e-03 (166.4%) avg 6.43e-04 (32.2%)
1.63024e+00 -1.24874e-03 1.25628e-03 1.04102e-03 -1.55483e-06 4.45550e-06 -5.73353e-08 -1.66341e-06 1.56471e-07 -1.99048e-06 -7.64413e-10 3.44104e-09 -2.40810e-10 -3.31106e-09 -1.17720e-09 8.89353e-10 9.99473e-10 -1.16436e-10 -1.22725e-09 4.01337e-10

#cal2k_z18_q3
4 18 2 20
# precision: tgt 2.00e-03 max 4.99e-03 (249.5%) avg 1.12e-03 (56.0%)
3.00945e-01 1.57166e-03 1.30406e-03 -1.49183e-04 1.90485e-06 2.84515e-06 -3.24725e-06 3.20173e-07 -4.20583e-06 -2.63145e-06 5.32729e-10 9.02830e-10 -3.71800e-09 8.52723e-11 -6.18861e-09 4.21371e-10 -9.78343e-10 -2.84032e-09 1.78884e-09 3.30212e-09
# precision: tgt 2.00e-03 max 1.29e-02 (644.1%) avg 1.55e-03 (77.7%)
-6.51459e-01 -1.01537e-03 -1.97310e-03 1.95801e-03 -1.09052e-08 -5.02476e-06 -1.38055e-06 -1.63256e-06 1.80738e-06 -5.14656e-06 8.62494e-10 -2.24657e-09 -1.61110e-09 -3.56507e-09 1.18839e-09 2.08475e-09 4.67035e-10 7.06489e-10 -4.10511e-10 5.46979e-09
# precision: tgt 2.00e-03 max 5.46e-03 (273.1%) avg 1.05e-03 (52.6%)
2.34014e+00 2.58685e-04 5.97174e-04 -2.31337e-03 -9.29518e-08 -6.95588e-07 -3.75607e-06 1.86632e-06 -2.66247e-06 4.36809e-06 2.30769e-10 -6.55104e-10 -1.86897e-10 9.09431e-10 1.14666e-09 6.10587e-09 1.07891e-09 -2.75580e-09 2.85847e-09 -2.82039e-09

#cal2k_z18_q4
4 18 3 20
# precision: tgt 2.00e-03 max 4.72e-03 (235.9%) avg 9.06e-04 (45.3%)
-5.31540e-01 1.57852e-03 -1.73309e-03 1.86158e-03 -1.52501e-06 3.83736e-06 -3.37771e-06 -1.81324e-06 3.97306e-06 -2.14481e-06 2.63420e-11 -9.33896e-10 3.88378e-09 1.73539e-09 -6.78800e-09 2.15708e-10 -2.05348e-10 3.11339e-09 -1.00495e-09 1.37447e-09
# precision: tgt 2.00e-03 max 1.34e-02 (667.7%) avg 1.86e-03 (92.8%)
-4.84164e-01 2.67990e-03 -2.73202e-03 -1.35789e-03 -3.53514e-06 8.93782e-06 1.28678e-06 -2.52534e-06 1.28661e-06 3.74938e-06 1.67831e-09 -7.13447e-09 -2.12072e-09 5.40056e-09 -4.09105e-10 -1.30505e-09 3.09832e-11 5.48993e-10 -1.72689e-10 -2.78412e-09
# precision: tgt 2.00e-03 max 6.82e-03 (340.9%) avg 1.05e-03 (52.6%)
2.56880e+00 -1.51840e-04 6.80129e-04 -4.14050e-03 -1.62624e-07 8.65834e-07 3.47877e-06 1.88779e-06 -3.23979e-06 9.02035e-06 -2.22184e-10 -7.45832e-10 -1.25092e-10 -8.35470e-10 -1.31042e-09 -5.87827e-09 1.05580e-09 -2.96199e-09 3.52296e-09 -6.73751e-09

#cal2k_z19_q1
4 19 0 20
# precision: tgt 2.00e-03 max 6.41e-03 (320.5%) avg 1.19e-03 (59.7%)
1.57010e+00 -1.14367e-03 4.66324e-05 -9.85866e-03 1.29389e-06 2.70810e-06 7.65468e-07 1.45258e-07 -3.30829e-06 2.37924e-05 -1.72669e-09 -5.91248e-09 5.83122e-09 -3.71244e-09 7.63677e-09 -5.68335e-09 -1.41017e-09 5.34418e-09 -7.46284e-10 -1.78217e-08
# precision: tgt 2.00e-03 max 1.30e-02 (650.7%) avg 1.28e-03 (64.1%)
1.26099e+00 4.92076e-04 -1.57064e-05 -8.41192e-03 -1.58620e-06 -5.05504e-07 -1.94235e-06 -1.20995e-06 7.55989e-07 1.99246e-05 1.28596e-11 -8.87407e-10 5.55096e-09 -5.25307e-10 4.70053e-09 -1.60755e-09 2.43733e-10 3.63300e-09 -3.05671e-09 -1.51427e-08
# precision: tgt 2.00e-03 max 4.96e-03 (247.8%) avg 7.96e-04 (39.8%)
4.65991e+00 1.17586e-03 7.39529e-04 -2.07742e-02 -1.25226e-06 -3.61076e-06 -2.71499e-07 -4.46517e-07 8.09922e-07 5.09695e-05 9.08105e-10 3.50302e-09 -1.35504e-09 2.61722e-09 -7.31022e-11 2.85179e-10 3.51520e-10 -1.44986e-09 -1.05002e-09 -4.26278e-08

#cal2k_z19_q2
4 19 1 20
# precision: tgt 2.00e-03 max 1.17e-02 (583.5%) avg 1.76e-03 (88.0%)
-8.42818e-01 1.71044e-03 -2.30107e-03 8.42591e-03 1.71651e-06 -3.03089e-06 -4.00955e-06 1.69032e-06 6.75083e-06 -2.32758e-05 -3.66380e-11 2.68725e-10 -5.09242e-09 5.94245e-10 6.64873e-09 5.90180e-10 7.18105e-10 -4.74685e-09 -3.81757e-09 1.97673e-08
# precision: tgt 2.00e-03 max 1.22e-02 (607.7%) avg 1.56e-03 (77.8%)
1.28751e+00 -1.83356e-03 1.79116e-03 -1.08013e-02 -2.79334e-06 4.88473e-06 3.31526e-06 -3.81614e-06 -1.16847e-06 2.66647e-05 -6.57670e-10 2.59324e-09 4.36698e-09 -3.72346e-09 -4.32803e-09 -8.00373e-10 1.52079e-09 4.21211e-09 -9.99556e-10 -2.13803e-08
# precision: tgt 2.00e-03 max 4.79e-03 (239.3%) avg 7.79e-04 (39.0%)
2.06708e+00 -1.97728e-03 1.42290e-03 -3.58134e-03 -2.04155e-06 5.25024e-06 1.91498e-06 -1.36385e-06 -7.13404e-08 1.16962e-05 -1.42120e-09 4.83813e-09 -1.41721e-09 -4.12413e-09 -6.85100e-11 -2.15455e-09 9.16991e-10 -1.37150e-09 -2.48396e-10 -1.26289e-08

#cal2k_z19_q3
4 19 2 20
# precision: tgt 2.00e-03 max 8.03e-03 (401.6%) avg 1.72e-03 (85.9%)
4.84503e-01 4.31967e-03 3.57338e-03 1.91515e-03 4.28381e-06 7.64435e-06 -9.21668e-06 1.41201e-06 -9.27638e-06 -1.03517e-05 1.82477e-10 1.84821e-09 -8.83550e-09 1.04474e-09 -1.34070e-08 2.22844e-09 -1.65446e-09 -5.23523e-09 4.18483e-09 9.82763e-09
# precision: tgt 2.00e-03 max 1.58e-02 (790.7%) avg 2.05e-03 (102.5%)
-1.00769e+00 -4.09755e-04 -2.67557e-03 3.86088e-03 1.17335e-06 -5.55849e-06 -3.70893e-06 -2.38098e-06 2.75102e-06 -9.30405e-06 1.25751e-09 -1.51351e-09 -3.26988e-09 -4.49319e-09 1.53701e-09 4.40179e-09 5.46973e-10 1.41666e-09 -5.05894e-10 8.75346e-09
# precision: tgt 2.00e-03 max 1.03e-02 (516.9%) avg 2.05e-03 (102.4%)
1.11924e+00 -7.85713e-04 1.41683e-04 4.66723e-03 -8.65404e-07 -1.50455e-06 -5.20869e-07 3.11497e-06 1.55696e-07 -8.70217e-06 -3.91206e-10 -1.88318e-09 -5.86214e-10 1.13560e-09 1.57099e-09 2.17994e-09 1.68443e-09 -4.59724e-09 -1.14904e-09 4.74658e-09

#cal2k_z19_q4
4 19 3 20
# precision: tgt 2.00e-03 max 5.22e-03 (261.0%) avg 8.35e-04 (41.7%)
8.95374e-01 3.39509e-03 -3.43209e-03 -1.10705e-02 -2.90358e-06 7.81686e-06 -6.17206e-06 -2.40882e-06 7.10961e-06 3.02389e-05 -8.50866e-10 -8.46307e-10 8.09764e-09 1.76710e-09 -1.42208e-08 -1.50286e-09 8.82592e-10 5.60206e-09 -8.54468e-10 -2.37352e-08
# precision: tgt 2.00e-03 max 1.50e-02 (750.1%) avg 2.31e-03 (115.7%)
-1.09910e+00 3.22366e-03 -4.95524e-03 1.00860e-03 -3.46261e-06 1.19696e-05 1.39026e-06 -4.58571e-06 6.03738e-06 -6.08782e-07 1.34200e-09 -6.84066e-09 -1.57545e-09 6.90747e-09 -5.34647e-09 -4.09146e-09 -6.91993e-11 3.63647e-09 -1.65594e-09 1.49095e-09
# precision: tgt 2.00e-03 max 1.11e-02 (554.7%) avg 2.12e-03 (106.0%)
1.98399e+00 1.55253e-03 -3.82187e-04 -2.09591e-03 -1.01690e-06 1.44012e-06 -3.06801e-06 3.21589e-06 2.94965e-06 8.99091e-06 1.79295e-10 -1.46226e-09 4.29110e-10 -1.59711e-09 -2.56414e-09 1.25266e-09 1.91309e-09 -4.13456e-09 -4.06757e-09 -1.04191e-08

#cal2k_z2_q1
4 2 0 20
# precision: tgt 2.00e-03 max 7.14e-03 (357.1%) avg 1.32e-03 (65.8%)
4.05948e-01 -2.27859e-03 -2.34627e-03 -6.44070e-05 3.58852e-06 5.88139e-06 -1.76901e-06 2.44072e-06 -3.62107e-06 -1.51632e-06 -1.14701e-09 -2.98695e-09 4.70582e-09 -3.10387e-09 4.74019e-09 1.08244e-09 4.18817e-10 3.87650e-09 -1.62535e-09 -1.83077e-09
# precision: tgt 2.00e-03 max 1.08e-02 (539.1%) avg 1.66e-03 (82.8%)
6.66322e-01 -2.73864e-03 -1.88026e-03 1.65554e-03 3.96265e-06 5.97809e-06 -2.87657e-06 2.35226e-06 -6.40909e-07 3.19563e-06 -6.30460e-10 -4.47448e-09 4.40538e-09 -1.84093e-09 3.43884e-09 -7.39377e-10 2.36376e-11 4.02125e-09 1.37349e-09 2.15337e-09
# precision: tgt 2.00e-03 max 3.97e-03 (198.5%) avg 5.93e-04 (29.6%)
1.88293e+00 7.33879e-04 5.37153e-04 4.60856e-04 -8.51837e-07 -3.16835e-06 -1.06909e-06 -3.11635e-07 -1.34495e-06 1.33595e-06 5.07299e-10 2.90619e-09 1.07811e-09 2.14908e-09 -1.42300e-10 -1.57114e-09 2.71257e-10 1.29832e-09 -1.80983e-09 1.71898e-09

#cal2k_z2_q2
4 2 1 20
# precision: tgt 2.00e-03 max 1.47e-02 (736.5%) avg 1.61e-03 (80.6%)
-1.90282e-01 -2.25788e-03 2.18125e-03 1.56269e-03 -3.39994e-06 4.99870e-06 -2.43091e-06 -1.69548e-06 4.19981e-06 5.66451e-06 -8.90242e-10 1.83008e-09 -5.28027e-09 -1.32200e-09 6.25922e-09 1.31368e-09 -8.78106e-10 -4.05988e-09 1.44603e-09 5.03883e-09
# precision: tgt 2.00e-03 max 1.14e-02 (570.1%) avg 1.46e-03 (72.8%)
2.41202e-01 2.91495e-03 -2.33760e-03 -1.94029e-03 3.07996e-06 -5.81394e-06 4.67402e-06 2.38315e-06 -2.84576e-06 -6.75948e-06 -1.67200e-10 -3.49029e-09 4.33493e-09 1.29676e-09 -4.89174e-09 2.22461e-09 1.39252e-10 4.84657e-09 -7.76057e-11 -6.32431e-09
# precision: tgt 2.00e-03 max 3.39e-03 (169.5%) avg 6.68e-04 (33.4%)
1.63473e+00 -1.47233e-03 1.29626e-03 -3.55121e-04 -2.06484e-06 5.67668e-06 9.67225e-07 -1.85844e-06 -1.38505e-06 -4.47139e-07 -1.44726e-09 5.17325e-09 1.66819e-09 -4.85233e-09 -2.57431e-10 1.15577e-09 1.53509e-09 1.81540e-09 -1.62159e-09 4.07413e-10

#cal2k_z2_q3
4 2 2 20
# precision: tgt 2.00e-03 max 6.75e-03 (337.4%) avg 1.02e-03 (50.8%)
1.09885e-01 -4.99912e-04 -6.25905e-04 1.15578e-03 -1.56646e-06 -1.05660e-06 1.23473e-07 -7.79724e-07 -1.58134e-06 2.85054e-06 -3.35018e-10 1.14220e-10 -3.99787e-09 -1.97392e-10 -2.44373e-09 2.33674e-09 7.98791e-10 -3.46272e-09 1.20210e-11 2.28571e-09
# precision: tgt 2.00e-03 max 8.35e-03 (417.3%) avg 1.18e-03 (58.9%)
3.24795e-01 -6.29425e-05 9.33507e-05 2.24579e-03 1.10236e-06 1.53141e-06 -2.32442e-06 2.25703e-07 -5.61344e-07 5.99707e-06 2.34576e-09 2.47646e-09 -3.28794e-09 3.73986e-09 -3.59805e-09 -6.13363e-10 5.51358e-10 -3.62498e-09 1.95680e-09 4.98456e-09
# precision: tgt 2.00e-03 max 4.45e-03 (222.3%) avg 8.66e-04 (43.3%)
1.50929e+00 -6.47750e-04 -6.64090e-04 -2.09604e-03 -3.49388e-07 -2.77315e-06 1.05784e-06 -1.39061e-07 5.36984e-07 -4.28116e-06 -5.83216e-10 -2.47662e-09 2.41465e-09 -1.98717e-09 -1.80181e-10 1.31858e-09 -2.20796e-10 2.19620e-09 7.07593e-10 -2.73629e-09

#cal2k_z2_q4
4 2 3 20
# precision: tgt 2.00e-03 max 7.45e-03 (372.6%) avg 1.50e-03 (75.1%)
2.67506e-02 -1.89520e-03 1.82554e-03 -2.04829e-03 3.76414e-06 -5.61013e-06 1.32770e-07 2.30845e-06 1.82747e-06 -5.03259e-06 -1.24185e-09 3.77449e-09 4.35505e-09 -3.19673e-09 -3.54610e-09 2.99131e-09 -4.56510e-10 4.13159e-09 -5.43968e-10 -3.77312e-09
# precision: tgt 2.00e-03 max 1.06e-02 (528.3%) avg 1.63e-03 (81.5%)
-6.26137e-02 3.50247e-03 -2.00418e-03 2.93998e-03 -6.78763e-06 8.37711e-06 1.86507e-06 -2.97586e-06 1.62242e-07 7.16829e-06 3.05070e-09 -8.70672e-09 -3.93503e-09 2.92469e-09 3.35233e-09 -1.69047e-10 -9.69407e-10 -3.73557e-09 2.74532e-09 5.61996e-09
# precision: tgt 2.00e-03 max 5.70e-03 (285.0%) avg 8.73e-04 (43.6%)
1.80440e+00 7.65293e-04 -8.29375e-04 1.75979e-04 -1.02418e-06 3.86623e-06 -1.84141e-06 -8.04991e-07 1.18874e-06 6.81116e-07 1.17352e-09 -4.02672e-09 2.83400e-09 3.29118e-09 -9.59713e-10 -1.69510e-09 -9.38780e-10 2.84086e-09 7.81702e-10 1.09304e-09

#cal2k_z20_q1
4 20 0 20
# precision: tgt 2.00e-03 max 7.53e-03 (376.3%) avg 1.26e-03 (63.0%)
-2.34739e+00 7.14658e-04 1.42476e-03 1.40907e-02 -2.07149e-07 -9.68354e-07 -3.15507e-06 -1.68549e-06 -4.35305e-06 -2.77624e-05 -1.21855e-09 -4.31973e-09 7.15020e-09 -1.13381e-09 9.93354e-09 -2.80021e-09 -1.03735e-09 6.53777e-09 -8.78567e-10 1.96222e-08
# precision: tgt 2.00e-03 max 1.46e-02 (729.9%) avg 1.25e-03 (62.4%)
-3.90319e+00 2.10726e-03 5.92427e-04 2.40205e-02 -4.06500e-06 -3.92944e-06 -3.88202e-06 -2.78271e-06 1.92220e-06 -5.03949e-05 1.07794e-09 2.61901e-09 6.47994e-09 1.23387e-09 5.33073e-09 2.34346e-10 6.36064e-10 5.28623e-09 -5.24311e-09 3.56535e-08
# precision: tgt 2.00e-03 max 5.43e-03 (271.5%) avg 9.12e-04 (45.6%)
-1.31244e+01 1.25171e-03 1.55446e-03 9.59976e-02 -1.08075e-06 -5.37513e-06 1.46630e-06 -2.99589e-07 -6.03981e-07 -2.07088e-04 1.57288e-09 5.42477e-09 -4.11689e-09 4.40980e-09 -5.24344e-10 -1.27946e-09 1.18972e-09 -4.26779e-09 6.80575e-10 1.48385e-07

#cal2k_z20_q2
4 20 1 20
# precision: tgt 2.00e-03 max 1.64e-02 (821.3%) avg 1.98e-03 (99.1%)
3.07953e+00 1.93356e-03 -2.88785e-03 -1.67752e-02 4.47436e-06 -9.01390e-06 2.68992e-06 4.38377e-06 1.42500e-06 3.59276e-05 9.05906e-10 -3.23922e-09 -6.82171e-09 4.77176e-09 9.03230e-09 -8.49354e-09 6.43693e-11 -6.05294e-09 3.44032e-09 -2.69403e-08
# precision: tgt 2.00e-03 max 1.36e-02 (680.7%) avg 1.53e-03 (76.3%)
-4.29631e+00 -4.10545e-03 3.27319e-03 2.34396e-02 -6.06037e-06 1.06050e-05 5.51076e-06 -6.68989e-06 -5.05995e-07 -4.75588e-05 -1.86279e-09 6.89251e-09 6.29252e-09 -6.96461e-09 -7.22794e-09 -1.27795e-09 2.62379e-09 6.50206e-09 -4.12576e-09 3.30583e-08
# precision: tgt 2.00e-03 max 4.58e-03 (228.8%) avg 8.76e-04 (43.8%)
-1.35462e+01 -1.49008e-03 1.51160e-03 9.87149e-02 -1.46772e-06 5.65757e-06 -1.01557e-06 -4.44505e-07 -1.39843e-07 -2.13052e-04 -1.95930e-09 6.27717e-09 -4.53237e-09 -5.31939e-09 2.07556e-09 1.06184e-11 1.50042e-09 -5.08069e-09 1.19003e-09 1.52340e-07

#cal2k_z20_q3
4 20 2 20
# precision: tgt 2.00e-03 max 1.47e-02 (735.8%) avg 3.22e-03 (160.8%)
-7.78277e+00 -2.16110e-03 -2.53944e-03 4.79321e-02 6.34530e-06 1.06867e-05 2.44828e-05 6.32339e-07 1.95282e-05 -8.98985e-05 -2.44239e-11 3.21207e-09 -1.15875e-08 6.43246e-10 -1.59453e-08 -3.59304e-08 -3.77747e-09 -6.12375e-09 -2.74940e-08 5.27114e-08
# precision: tgt 2.00e-03 max 2.31e-02 (1154.4%) avg 3.24e-03 (162.1%)
-6.51921e+00 -4.66911e-03 -6.70606e-03 3.40622e-02 -1.99360e-07 -1.14165e-05 8.95480e-06 -5.59552e-06 1.15654e-05 -6.75331e-05 8.39324e-10 -3.30529e-09 -2.21716e-09 -9.08122e-09 5.55951e-09 -7.09449e-09 -4.08335e-10 2.97627e-09 -7.65315e-09 4.66643e-08
# precision: tgt 2.00e-03 max 1.62e-02 (807.8%) avg 3.57e-03 (178.5%)
-5.38368e+00 -7.96953e-05 2.61903e-03 4.97841e-02 -4.58084e-07 1.14295e-06 -1.91829e-06 5.55563e-06 -6.20611e-06 -1.10993e-04 -4.22728e-10 -9.89392e-10 -1.18789e-09 4.51886e-09 7.25985e-10 3.20366e-09 3.50954e-09 -4.57073e-09 5.51470e-09 8.17382e-08

#cal2k_z20_q4
4 20 3 20
# precision: tgt 2.00e-03 max 9.91e-03 (495.3%) avg 2.23e-03 (111.7%)
9.45352e+00 -3.35590e-03 3.09753e-03 -5.73870e-02 -4.45690e-06 9.80891e-06 2.68068e-05 -1.48228e-06 -2.20661e-05 1.08322e-04 -1.43114e-09 -1.47955e-09 1.08847e-08 1.03952e-09 -1.58133e-08 -3.79158e-08 2.96687e-09 6.34199e-09 3.01913e-08 -6.46844e-08
# precision: tgt 2.00e-03 max 1.46e-02 (728.2%) avg 3.51e-03 (175.3%)
-6.62123e+00 5.57133e-03 -6.88966e-03 3.38867e-02 -3.51480e-06 1.54991e-05 -5.51425e-06 -6.47999e-06 8.32177e-06 -6.91930e-05 1.75605e-09 -9.44459e-09 -4.29845e-09 1.22936e-08 -1.56877e-09 5.89106e-09 -1.14013e-09 1.29198e-09 -6.49111e-09 4.83148e-08
# precision: tgt 2.00e-03 max 1.67e-02 (832.8%) avg 3.62e-03 (180.8%)
-4.48271e+00 1.16571e-03 9.71976e-04 4.21290e-02 -3.55314e-07 -7.31914e-08 -1.93176e-06 5.12378e-06 -7.80177e-07 -9.16674e-05 4.17105e-12 -4.88435e-10 -3.88690e-10 -4.54436e-09 -3.53834e-09 -6.04349e-10 3.62918e-09 -3.57664e-09 1.42551e-09 6.66384e-08

#cal2k_z21_q1
4 21 0 20
# precision: tgt 2.00e-03 max 1.01e-02 (505.8%) avg 1.52e-03 (75.9%)
7.83911e-01 -1.60918e-03 -7.83957e-04 -4.04931e-03 2.26178e-06 -1.73371e-07 4.34413e-06 -6.91417e-07 4.39386e-06 6.64976e-06 -1.29742e-09 -3.33750e-09 1.60386e-09 1.14299e-09 4.04122e-09 -6.58589e-09 -4.84846e-10 1.93882e-09 -6.31314e-09 -2.87759e-09
# precision: tgt 2.00e-03 max 1.41e-02 (703.0%) avg 1.30e-03 (64.8%)
1.36155e+00 5.50751e-04 -1.81411e-03 -7.69943e-03 -2.78657e-06 -3.48385e-06 2.09857e-06 -1.11486e-06 1.04417e-05 1.27964e-05 1.69385e-09 5.13274e-09 1.07388e-09 2.47142e-09 -2.87661e-10 -2.10697e-09 8.70512e-10 7.82712e-10 -1.04821e-08 -7.15593e-09
# precision: tgt 2.00e-03 max 6.56e-03 (328.1%) avg 6.88e-04 (34.4%)
1.31003e-02 -1.64175e-03 -2.99023e-03 1.30512e-02 2.98232e-06 2.23930e-06 4.61191e-06 4.54225e-06 8.40621e-06 -2.79575e-05 6.77027e-10 2.08303e-09 -8.69300e-09 1.28939e-09 -8.29536e-09 -2.44859e-10 1.15326e-10 -1.03463e-08 -3.32359e-09 1.84103e-08

#cal2k_z21_q2
4 21 1 20
# precision: tgt 2.00e-03 max 1.91e-02 (956.1%) avg 2.42e-03 (121.2%)
6.99600e-01 4.00050e-04 -8.43902e-04 -2.29707e-03 2.20089e-06 -8.16780e-06 6.65984e-06 3.25406e-06 -6.14979e-06 6.59728e-06 7.53050e-10 -3.64234e-09 -2.25083e-09 6.37863e-09 4.66684e-09 -9.35402e-09 -2.21969e-10 -2.05392e-09 8.25861e-09 -6.42628e-09
# precision: tgt 2.00e-03 max 1.27e-02 (635.2%) avg 1.60e-03 (80.2%)
1.72090e+00 -2.61021e-03 6.62191e-04 -1.22846e-02 -6.11184e-06 1.23321e-05 -2.99106e-06 -5.97288e-06 1.12171e-05 2.11398e-05 -2.97413e-09 1.11734e-08 1.63765e-09 -1.01379e-08 -1.60166e-09 3.95552e-09 3.50121e-09 1.62048e-09 -1.23370e-08 -1.17467e-08
# precision: tgt 2.00e-03 max 5.39e-03 (269.4%) avg 6.09e-04 (30.5%)
-3.89700e-01 7.32343e-04 -1.89368e-03 1.41350e-02 3.09737e-06 -1.77316e-06 -1.30797e-06 4.14276e-06 4.89759e-06 -2.79110e-05 -5.42535e-10 1.55191e-09 -8.38631e-09 -9.41642e-10 6.36319e-09 -2.14212e-09 1.11317e-10 -9.32638e-09 -1.12734e-09 1.74204e-08

#cal2k_z21_q3
4 21 2 20
# precision: tgt 2.00e-03 max 1.29e-02 (644.5%) avg 3.75e-03 (187.7%)
2.01969e+00 2.23719e-03 1.27086e-03 -8.77454e-03 4.21774e-07 2.31022e-06 -3.86583e-06 -2.84178e-06 -3.77655e-06 1.48145e-05 -1.04000e-09 1.28857e-09 -2.07513e-09 -1.31789e-09 -2.38923e-09 1.80408e-09 -5.10289e-09 -1.99739e-09 2.29717e-09 -8.41070e-09
# precision: tgt 2.00e-03 max 2.96e-02 (1480.6%) avg 3.88e-03 (194.0%)
-3.76644e-01 -4.61822e-03 -5.24720e-03 -4.40573e-03 -2.06598e-06 -1.16324e-05 7.12555e-06 -5.10226e-06 6.05613e-06 1.27484e-05 4.96052e-10 -3.87396e-09 7.01544e-10 -1.11761e-08 2.60493e-09 -5.01854e-09 -9.03510e-10 -5.61174e-10 -5.32493e-09 -1.00304e-08
# precision: tgt 2.00e-03 max 2.36e-02 (1179.5%) avg 4.38e-03 (219.0%)
8.21000e-01 -1.76236e-05 2.41333e-03 8.70118e-03 1.37974e-07 4.27613e-06 1.80406e-06 5.18830e-06 -2.11776e-06 -1.74544e-05 -1.24812e-10 1.36447e-09 -3.60359e-10 8.18405e-09 1.89639e-09 -9.06680e-10 4.53690e-09 4.08952e-10 3.19449e-09 1.11763e-08

#cal2k_z21_q4
4 21 3 20
# precision: tgt 2.00e-03 max 8.97e-03 (448.7%) avg 2.60e-03 (129.9%)
-1.80850e+00 1.48824e-03 -1.71635e-03 7.54844e-03 1.73732e-06 2.16661e-06 -3.26457e-06 1.35803e-06 4.12397e-06 -1.21835e-05 -2.84800e-09 1.14368e-09 1.93557e-09 -7.16377e-10 -4.37233e-09 6.14885e-10 3.97483e-09 2.87791e-09 -1.45846e-09 6.95354e-09
# precision: tgt 2.00e-03 max 1.84e-02 (920.6%) avg 3.96e-03 (198.0%)
7.99057e-01 3.35124e-03 -3.61440e-03 -9.40625e-03 -6.46425e-06 1.55531e-05 5.17994e-06 -5.96994e-06 -3.39067e-06 1.59582e-05 3.13590e-09 -1.21502e-08 -2.07551e-09 1.54883e-08 5.14389e-09 -2.83901e-09 -1.74335e-09 -3.01766e-09 -2.41302e-10 -9.62403e-09
# precision: tgt 2.00e-03 max 2.44e-02 (1219.6%) avg 4.20e-03 (209.8%)
-1.04342e+00 1.65574e-03 1.48448e-04 1.67729e-02 9.28627e-07 -2.84999e-06 -7.78582e-06 4.49892e-06 4.45389e-06 -2.88489e-05 -1.39362e-09 3.97811e-09 2.02937e-09 -8.99126e-09 -8.51673e-09 3.15255e-09 4.64740e-09 2.26201e-09 2.11681e-10 1.72891e-08

#cal2k_z3_q1
4 3 0 20
# precision: tgt 2.00e-03 max 6.66e-03 (332.8%) avg 1.23e-03 (61.5%)
-2.22548e-02 -1.64617e-03 -1.43063e-03 -2.32640e-03 2.77853e-06 4.19386e-06 -8.91387e-07 1.46922e-06 -1.93134e-06 -6.70030e-06 -9.74346e-10 -2.52509e-09 3.40977e-09 -1.97498e-09 3.23098e-09 9.71047e-10 4.38720e-10 2.72547e-09 -6.55737e-10 -6.16215e-09
# precision: tgt 2.00e-03 max 9.77e-03 (488.6%) avg 1.52e-03 (76.2%)
3.48711e-02 -1.73152e-03 -1.37012e-03 -2.18303e-03 2.30738e-06 3.84930e-06 -1.60333e-06 1.39774e-06 -6.12980e-07 -6.15942e-06 -4.84934e-11 -2.57304e-09 3.05868e-09 -9.13098e-10 2.24063e-09 -1.86983e-10 3.03267e-10 2.81539e-09 4.64811e-10 -5.70264e-09
# precision: tgt 2.00e-03 max 3.82e-03 (191.0%) avg 9.96e-04 (49.8%)
2.01801e+00 7.44896e-04 6.54943e-04 1.18169e-03 -1.04368e-06 -2.76257e-06 -2.63371e-07 -6.32722e-07 -2.19576e-07 3.53035e-06 6.16589e-10 2.48055e-09 1.83503e-10 1.89420e-09 -7.34469e-10 -1.08709e-09 4.17009e-10 3.40697e-10 -9.42467e-10 3.85489e-09

#cal2k_z3_q2
4 3 1 20
# precision: tgt 2.00e-03 max 1.23e-02 (613.1%) avg 1.38e-03 (69.2%)
-4.21912e-01 -1.16505e-03 8.37797e-04 -1.92994e-03 -1.57070e-06 1.25742e-06 -2.32978e-06 1.82161e-07 3.23095e-06 -3.38028e-06 -3.48233e-10 -8.86783e-11 -3.42293e-09 1.17835e-09 3.87177e-09 -4.80146e-10 -1.33034e-09 -2.61677e-09 1.91293e-09 -2.08723e-09
# precision: tgt 2.00e-03 max 1.01e-02 (504.5%) avg 1.32e-03 (66.0%)
3.45684e-01 1.43476e-03 -1.23437e-03 5.68553e-04 1.39859e-06 -2.91727e-06 1.99955e-06 9.78448e-07 -1.37409e-06 6.99014e-07 -6.10525e-10 -1.43668e-09 2.92017e-09 -4.54323e-11 -2.93043e-09 4.01536e-10 5.27733e-10 3.19617e-09 1.02067e-10 3.07356e-10
# precision: tgt 2.00e-03 max 3.44e-03 (171.9%) avg 7.28e-04 (36.4%)
1.81246e+00 -1.29958e-03 1.29011e-03 5.39005e-04 -1.73105e-06 4.46752e-06 -1.59076e-09 -1.66658e-06 9.24301e-08 2.29847e-06 -1.08110e-09 3.56824e-09 3.67497e-10 -3.49520e-09 1.20463e-09 1.06102e-09 1.09655e-09 3.37709e-10 -1.00195e-09 2.80590e-09

#cal2k_z3_q3
4 3 2 20
# precision: tgt 2.00e-03 max 6.66e-03 (332.8%) avg 8.53e-04 (42.7%)
1.65714e-02 -4.32060e-04 -3.00461e-04 4.23089e-04 -1.02535e-06 -1.95083e-07 -4.60317e-07 9.93816e-08 -1.63451e-06 1.53446e-06 -6.99289e-11 4.93123e-10 -3.29391e-09 8.93838e-10 -2.31331e-09 1.38863e-09 1.10635e-09 -2.81433e-09 -2.47841e-10 1.49637e-09
# precision: tgt 2.00e-03 max 8.70e-03 (435.1%) avg 1.15e-03 (57.3%)
3.23845e-01 8.12562e-04 7.53286e-04 1.33812e-03 2.34695e-06 3.93798e-06 -1.86653e-06 1.32166e-06 -6.61608e-07 4.26437e-06 2.48676e-09 4.16553e-09 -2.17610e-09 4.85434e-09 -2.17601e-09 -1.17519e-09 9.16767e-10 -2.57247e-09 7.07949e-10 4.40848e-09
# precision: tgt 2.00e-03 max 3.15e-03 (157.4%) avg 6.68e-04 (33.4%)
1.78543e+00 -5.86100e-04 -4.66257e-04 -4.09663e-04 -6.45827e-08 -1.72286e-06 1.69785e-07 3.64996e-07 -1.35742e-08 3.29989e-08 -1.78408e-10 -1.45592e-09 1.64023e-09 -8.11829e-10 -5.06462e-10 6.26056e-10 2.49245e-10 1.68833e-09 2.45217e-10 9.69063e-10

#cal2k_z3_q4
4 3 3 20
# precision: tgt 2.00e-03 max 7.60e-03 (379.9%) avg 1.51e-03 (75.7%)
2.57657e-01 -1.59839e-03 1.16887e-03 1.49506e-04 2.91004e-06 -3.78400e-06 -5.59903e-07 9.64184e-07 1.70167e-06 -3.78670e-08 -9.17111e-10 2.83702e-09 3.49833e-09 -1.33195e-09 -3.11472e-09 1.70505e-09 -9.72446e-10 3.44404e-09 -4.04081e-10 3.50289e-11
# precision: tgt 2.00e-03 max 9.68e-03 (484.0%) avg 1.57e-03 (78.3%)
-4.82725e-01 2.79438e-03 -1.46110e-03 -8.74021e-04 -5.12759e-06 5.70077e-06 2.64537e-06 -1.64501e-06 -6.46097e-07 -1.41750e-06 2.42883e-09 -6.19347e-09 -3.22657e-09 1.25080e-09 2.88293e-09 1.15734e-09 -3.79960e-10 -2.81739e-09 1.24427e-09 -7.78834e-10
# precision: tgt 2.00e-03 max 3.80e-03 (189.8%) avg 7.33e-04 (36.7%)
1.59672e+00 8.57166e-04 -8.28037e-04 -1.42165e-03 -7.02032e-07 3.16946e-06 -4.83208e-07 -5.90743e-07 3.83621e-07 -2.81921e-06 6.64139e-10 -3.09263e-09 2.06283e-09 2.42719e-09 -4.16998e-10 -5.00544e-10 -6.28156e-10 2.18994e-09 1.96055e-10 -1.48155e-09

#cal2k_z4_q1
4 4 0 20
# precision: tgt 2.00e-03 max 5.72e-03 (285.9%) avg 1.10e-03 (55.0%)
1.62290e-01 -1.96312e-03 -2.12169e-03 -2.52273e-03 2.78242e-06 4.81224e-06 -2.28078e-06 1.68986e-06 -5.33256e-06 -1.21116e-05 -1.37918e-09 -3.66350e-09 1.63968e-09 -2.85864e-09 2.37710e-09 -2.41596e-09 -3.45765e-10 1.21985e-09 -6.56744e-09 -1.62286e-08
# precision: tgt 2.00e-03 max 8.86e-03 (443.1%) avg 1.51e-03 (75.4%)
3.82380e-01 -1.39408e-03 -7.72949e-04 9.40743e-04 1.98765e-06 3.89957e-06 2.18415e-07 1.10607e-06 2.92813e-06 3.83443e-06 -4.13130e-10 -2.87546e-09 1.21778e-09 -1.49405e-09 1.14781e-09 1.39106e-09 1.50123e-10 1.13199e-09 4.60178e-09 5.09245e-09
# precision: tgt 2.00e-03 max 4.38e-03 (218.8%) avg 1.41e-03 (70.3%)
1.90234e-01 4.73846e-04 2.61711e-04 -1.69716e-02 -4.38339e-08 -1.12054e-07 2.82991e-06 2.15407e-07 1.83527e-06 -5.10361e-05 1.35070e-10 1.65758e-10 -4.79612e-10 -7.39822e-11 -9.49017e-10 3.07519e-09 8.24762e-11 -1.12186e-11 1.97758e-09 -5.05345e-08

#cal2k_z4_q2
4 4 1 20
# precision: tgt 2.00e-03 max 1.06e-02 (528.9%) avg 1.13e-03 (56.6%)
7.73412e-01 -1.12040e-04 -1.63744e-04 7.39061e-03 -7.04259e-07 -4.19148e-07 1.10337e-06 1.03012e-06 4.22063e-07 2.28369e-05 -3.07126e-10 -4.83668e-10 -1.48926e-09 1.93492e-09 1.55149e-09 2.59922e-09 -1.21361e-09 -9.78924e-10 -3.91253e-10 2.30204e-08
# precision: tgt 2.00e-03 max 8.77e-03 (438.5%) avg 1.28e-03 (63.9%)
1.43176e-01 1.81663e-03 -1.30882e-03 -1.98075e-03 1.73417e-06 -3.60954e-06 3.24588e-06 1.06965e-06 -1.10193e-06 -8.26864e-06 -5.47899e-12 -2.18989e-09 2.14520e-09 9.27297e-10 -2.62006e-09 2.47503e-09 1.26883e-10 1.84218e-09 -3.14297e-10 -9.75019e-09
# precision: tgt 2.00e-03 max 4.41e-03 (220.5%) avg 1.43e-03 (71.3%)
9.45336e-01 -2.45231e-04 3.84974e-04 -9.96772e-03 -5.34820e-07 9.02282e-07 4.58802e-08 -3.16486e-07 1.16783e-06 -3.03695e-05 -5.64307e-10 1.16924e-09 2.61853e-10 -1.06117e-09 -5.13734e-10 -4.83900e-10 3.71779e-10 2.13404e-10 2.27510e-09 -2.91769e-08

#cal2k_z4_q3
4 4 2 20
# precision: tgt 2.00e-03 max 6.16e-03 (308.0%) avg 8.37e-04 (41.9%)
9.60119e-01 8.39398e-05 9.27820e-05 8.87129e-03 -4.63000e-07 -6.69528e-08 1.79494e-06 5.33774e-07 -1.73268e-07 2.69299e-05 -7.20357e-11 2.50044e-10 -1.47500e-09 7.96993e-10 -1.70263e-09 3.47501e-09 7.95536e-10 -1.03176e-09 6.69319e-10 2.69363e-08
# precision: tgt 2.00e-03 max 9.90e-03 (494.8%) avg 1.16e-03 (58.2%)
8.50259e-01 9.06296e-04 1.08994e-03 6.37493e-03 2.76453e-06 4.93744e-06 -3.15684e-06 2.08326e-06 -7.81613e-07 2.18131e-05 2.19010e-09 4.04760e-09 -5.00401e-10 4.17458e-09 1.63982e-09 -5.83915e-09 7.55111e-10 5.62461e-10 -3.42899e-09 2.58148e-08
# precision: tgt 2.00e-03 max 3.84e-03 (192.0%) avg 9.97e-04 (49.8%)
1.15790e+00 -2.32724e-04 -3.99074e-04 -7.58572e-03 -4.72802e-07 -1.45921e-06 1.58756e-06 1.76414e-07 -6.13083e-07 -2.38782e-05 -4.58590e-11 -1.10594e-09 -2.53781e-10 -6.90014e-10 -8.64214e-10 3.12625e-09 4.55208e-11 1.35830e-09 -1.34646e-09 -2.41778e-08

#cal2k_z4_q4
4 4 3 20
# precision: tgt 2.00e-03 max 7.80e-03 (389.8%) avg 1.55e-03 (77.6%)
-5.26920e-01 -1.03996e-03 6.67991e-04 -6.94153e-03 1.67747e-06 -1.64912e-06 -1.13248e-06 -7.64212e-07 3.41657e-06 -2.45942e-05 -4.97893e-10 1.25562e-09 2.48092e-09 6.84637e-10 -3.44128e-09 5.62959e-10 -1.40180e-09 1.57250e-09 2.82269e-09 -2.72829e-08
# precision: tgt 2.00e-03 max 9.66e-03 (482.9%) avg 1.62e-03 (81.1%)
3.01693e-01 1.91211e-03 -3.47201e-04 5.10677e-03 -4.01768e-06 4.38528e-06 3.15253e-07 -7.23977e-07 3.66922e-06 1.50268e-05 2.18466e-09 -5.32566e-09 -1.52244e-09 1.16716e-09 7.33508e-10 -3.79160e-10 -2.93592e-10 -3.32594e-10 5.10020e-09 1.49172e-08
# precision: tgt 2.00e-03 max 3.86e-03 (192.8%) avg 9.11e-04 (45.6%)
1.58542e+00 5.67156e-04 -1.01025e-04 -3.71824e-03 -4.55077e-07 1.14756e-06 9.07281e-07 3.34520e-07 7.02499e-07 -1.18778e-05 1.38209e-10 -1.18085e-09 -1.61162e-10 5.84656e-10 3.03546e-11 7.85856e-10 -4.28499e-11 1.90527e-09 1.26275e-10 -1.16479e-08

#cal2k_z5_q1
4 5 0 20
# precision: tgt 2.00e-03 max 5.82e-03 (290.8%) avg 1.07e-03 (53.7%)
1.08655e-01 -1.70731e-03 -1.50567e-03 -2.07085e-03 2.63385e-06 3.71286e-06 -3.04584e-06 1.27833e-06 -4.94433e-06 -1.21367e-05 -1.67395e-09 -3.87346e-09 5.31628e-10 -2.50247e-09 3.83180e-10 -6.23726e-09 -6.79644e-10 1.72139e-10 -8.96797e-09 -2.04778e-08
# precision: tgt 2.00e-03 max 8.07e-03 (403.5%) avg 1.50e-03 (75.2%)
1.14207e+00 -1.68064e-03 -1.39191e-03 8.92597e-03 2.09309e-06 3.76686e-06 -2.61541e-06 1.00524e-06 -2.25108e-06 3.01413e-05 -1.05722e-09 -3.41166e-09 3.25720e-11 -1.94471e-09 1.99553e-10 -4.86349e-09 -1.35522e-10 2.30246e-10 -5.08292e-09 3.35457e-08
# precision: tgt 2.00e-03 max 4.74e-03 (237.2%) avg 1.50e-03 (75.2%)
2.00502e+00 2.98643e-04 1.73059e-04 -4.41475e-04 -2.19088e-07 -2.17794e-07 2.13953e-06 -1.68853e-07 1.20211e-06 -1.01199e-07 3.95307e-10 4.92549e-10 -2.18889e-10 3.95625e-10 -2.16782e-10 3.47608e-09 4.10466e-10 -1.26905e-10 1.93022e-09 2.91854e-09

#cal2k_z5_q2
4 5 1 20
# precision: tgt 2.00e-03 max 6.39e-03 (319.5%) avg 1.06e-03 (52.8%)
3.35327e-01 2.03385e-04 -5.67553e-04 3.16908e-03 2.04909e-07 -1.74598e-06 5.05830e-07 1.57764e-06 6.61806e-09 1.15095e-05 9.99940e-11 -1.27590e-09 -2.57975e-10 2.73643e-09 1.96040e-10 1.34003e-10 -1.32983e-09 -3.31918e-10 -3.36397e-11 1.40784e-08
# precision: tgt 2.00e-03 max 8.18e-03 (408.8%) avg 1.26e-03 (63.1%)
5.37041e-01 9.41100e-04 -6.73911e-04 3.59129e-03 7.42329e-07 -1.75890e-06 1.36694e-06 2.94069e-08 -6.86839e-07 1.20355e-05 -1.59460e-10 -1.26035e-09 4.20013e-10 6.10481e-11 -2.27819e-10 2.15776e-09 5.13459e-10 4.04529e-10 -2.03192e-09 1.32840e-08
# precision: tgt 2.00e-03 max 4.71e-03 (235.6%) avg 1.56e-03 (78.1%)
2.11264e+00 -2.13821e-04 9.65819e-05 5.69040e-04 -1.18788e-10 -2.28160e-08 -1.92141e-06 4.12232e-08 1.07909e-06 3.21693e-06 -2.95025e-10 1.09605e-10 6.91562e-11 -1.39911e-10 4.89727e-10 -3.21527e-09 2.18009e-10 -7.67739e-11 1.48036e-09 6.20558e-09

#cal2k_z5_q3
4 5 2 20
# precision: tgt 2.00e-03 max 4.27e-03 (213.4%) avg 7.33e-04 (36.6%)
-1.93189e-01 -3.13597e-05 1.43427e-04 -2.29041e-03 3.28327e-08 8.86373e-07 -8.08993e-07 8.18985e-07 -1.54311e-06 -7.34303e-06 1.40151e-10 9.78153e-10 -1.29815e-09 1.58344e-09 -1.88318e-09 -5.12996e-10 8.68355e-10 -1.35473e-09 -1.02751e-09 -8.52454e-09
# precision: tgt 2.00e-03 max 9.80e-03 (489.9%) avg 1.13e-03 (56.4%)
3.74752e-01 1.14336e-03 1.01818e-03 2.29233e-03 2.77456e-06 4.19147e-06 -6.37684e-07 1.89792e-06 2.99870e-07 8.80271e-06 2.19094e-09 3.97078e-09 -2.13975e-10 3.81712e-09 5.46172e-10 -1.40439e-09 9.43811e-10 2.02638e-10 -7.77209e-10 1.15980e-08
# precision: tgt 2.00e-03 max 3.86e-03 (193.0%) avg 1.19e-03 (59.6%)
1.91392e+00 -2.20181e-04 -3.94370e-04 -9.32547e-04 -2.02735e-07 -9.26602e-07 2.92166e-07 -1.23497e-07 -1.26193e-06 -3.05282e-06 -1.33199e-10 -6.91714e-10 4.63045e-12 -5.98216e-10 -9.18640e-10 1.24548e-09 -2.83824e-10 7.66039e-10 -2.03653e-09 -2.78610e-09

#cal2k_z5_q4
4 5 3 20
# precision: tgt 2.00e-03 max 5.59e-03 (279.6%) avg 1.48e-03 (73.9%)
4.59154e-01 -1.00032e-03 4.42254e-04 3.45329e-03 1.34132e-06 -8.49776e-07 -2.93373e-06 -7.72011e-07 3.64891e-06 9.13414e-06 -6.84360e-10 1.30001e-09 1.13807e-09 6.35102e-10 -1.38877e-09 -4.90983e-09 -9.56526e-10 7.47252e-10 5.42997e-09 7.46931e-09
# precision: tgt 2.00e-03 max 9.37e-03 (468.5%) avg 1.77e-03 (88.4%)
-1.35259e-01 1.09045e-03 1.74025e-04 -1.12541e-04 -2.41136e-06 1.66768e-06 -2.90565e-07 1.05100e-06 2.47449e-06 -1.92183e-06 1.34519e-09 -2.87568e-09 -6.98911e-10 -1.30124e-09 3.30902e-10 -9.45669e-10 1.07417e-09 -1.33621e-10 3.60413e-09 -3.96165e-09
# precision: tgt 2.00e-03 max 4.11e-03 (205.6%) avg 1.07e-03 (53.3%)
2.20517e+00 3.86552e-04 -1.88325e-04 2.08525e-03 -2.28191e-07 7.88329e-07 1.23333e-06 -5.03964e-08 -1.58480e-07 7.70506e-06 2.53854e-10 -9.80949e-10 4.27281e-10 6.84612e-10 -3.75795e-10 2.56010e-09 -2.93154e-10 1.12428e-09 -1.16230e-09 1.08908e-08

#cal2k_z6_q1
4 6 0 20
# precision: tgt 2.00e-03 max 6.94e-03 (347.2%) avg 1.29e-03 (64.6%)
1.97680e-01 -8.34868e-04 -5.62612e-04 6.91108e-04 1.46521e-06 2.10891e-06 -9.35292e-09 4.86386e-07 -4.83049e-07 2.48346e-06 -8.54076e-10 -2.01884e-09 2.40859e-10 -1.03423e-09 5.49676e-10 -6.18070e-10 -4.45011e-11 1.73660e-10 -4.76589e-10 3.29304e-09
# precision: tgt 2.00e-03 max 1.01e-02 (502.6%) avg 1.55e-03 (77.5%)
3.48259e-01 -1.27113e-03 -9.51427e-04 8.81352e-04 1.65047e-06 3.06585e-06 -4.43347e-07 2.57913e-07 -3.44838e-07 3.13073e-06 -5.84285e-10 -2.47327e-09 2.01218e-10 -9.06680e-10 4.76099e-10 -5.55587e-10 7.19526e-10 3.81077e-10 -1.36300e-09 3.87511e-09
# precision: tgt 2.00e-03 max 4.63e-03 (231.5%) avg 1.28e-03 (64.0%)
1.99844e+00 2.60181e-04 3.41917e-04 -1.02048e-03 -8.39125e-07 -1.06243e-06 6.41628e-07 -1.00964e-06 7.70142e-07 -4.77876e-06 8.65016e-10 1.39703e-09 -5.40643e-10 1.51095e-09 1.87094e-10 1.54772e-09 9.91823e-10 -6.80322e-10 1.77990e-09 -4.94935e-09

#cal2k_z6_q2
4 6 1 20
# precision: tgt 2.00e-03 max 8.64e-03 (431.8%) avg 9.66e-04 (48.3%)
1.22035e-01 5.53361e-04 -8.90548e-04 7.60895e-05 8.48957e-07 -2.98697e-06 2.28608e-07 2.09102e-06 2.41243e-07 6.26429e-07 4.19230e-10 -2.27861e-09 -6.08189e-11 3.59418e-09 -1.98400e-11 -5.95033e-10 -1.45525e-09 5.55208e-11 7.41435e-10 1.46147e-09
# precision: tgt 2.00e-03 max 8.74e-03 (437.0%) avg 1.18e-03 (59.0%)
2.30072e-01 1.03515e-03 -7.65794e-04 -1.67766e-05 1.17954e-06 -2.52755e-06 3.69801e-07 3.37358e-07 1.71626e-07 -3.73353e-07 1.87842e-10 -2.01369e-09 1.03498e-10 7.22265e-10 2.71804e-11 8.65958e-10 3.91563e-10 3.16414e-10 -6.98014e-10 -1.17434e-09
# precision: tgt 2.00e-03 max 5.53e-03 (276.7%) avg 1.42e-03 (70.8%)
2.10368e+00 1.24951e-04 -6.43095e-05 -3.22671e-04 7.04384e-09 -4.21220e-07 -5.82570e-07 -3.01667e-08 8.20429e-07 -1.26324e-06 -4.01671e-10 -4.45954e-11 -7.61592e-11 -1.02730e-10 -1.92712e-10 -1.81330e-09 3.00692e-10 -3.37409e-10 1.97740e-09 5.33752e-10

#cal2k_z6_q3
4 6 2 20
# precision: tgt 2.00e-03 max 5.78e-03 (289.0%) avg 8.69e-04 (43.5%)
7.08454e-02 2.54042e-04 4.43029e-04 -9.21180e-05 2.85465e-07 1.46031e-06 -3.15718e-07 9.24756e-07 -8.04599e-07 5.14406e-07 5.86873e-11 1.04170e-09 -4.57900e-10 1.72033e-09 -1.19616e-09 -5.80979e-10 5.78894e-10 -7.29418e-10 -3.07148e-10 1.10639e-09
# precision: tgt 2.00e-03 max 9.13e-03 (456.7%) avg 1.17e-03 (58.6%)
1.98606e-01 1.23189e-03 1.08763e-03 2.84622e-04 2.82628e-06 4.26498e-06 8.18201e-08 2.14595e-06 5.89049e-07 1.01819e-06 2.20655e-09 4.15797e-09 -5.99674e-11 4.04700e-09 3.89153e-10 -4.48508e-11 1.33569e-09 4.89942e-11 -5.03506e-11 1.50814e-09
# precision: tgt 2.00e-03 max 4.65e-03 (232.6%) avg 1.24e-03 (62.1%)
1.92512e+00 -7.53756e-04 -7.79027e-04 9.14745e-05 -1.02685e-06 -2.61450e-06 -2.32855e-07 -1.22520e-06 -3.25705e-07 4.68282e-07 -4.97734e-10 -2.02497e-09 -5.05330e-10 -2.17297e-09 -1.09365e-09 9.20800e-10 -8.99630e-10 1.31093e-10 1.28158e-10 8.73286e-10

#cal2k_z6_q4
4 6 3 20
# precision: tgt 2.00e-03 max 6.49e-03 (324.6%) avg 1.35e-03 (67.4%)
-3.25009e-03 -1.26557e-04 -3.99650e-04 2.00795e-04 6.70341e-07 4.58808e-07 8.40385e-07 -1.20887e-06 -8.34804e-08 1.23171e-06 -4.95675e-10 4.62993e-10 1.77539e-10 1.50687e-09 -3.85249e-10 1.12909e-09 -9.96429e-10 4.35917e-10 -8.97507e-10 2.71721e-09
# precision: tgt 2.00e-03 max 1.07e-02 (532.7%) avg 1.76e-03 (88.1%)
-3.09444e-01 1.90303e-03 -9.28128e-04 1.33014e-04 -3.58302e-06 4.58613e-06 -7.65398e-08 -2.95796e-07 5.13751e-07 5.20348e-07 1.99078e-09 -5.22582e-09 -4.69664e-10 1.24415e-09 9.33477e-10 -1.35861e-09 3.99467e-10 -2.12441e-10 1.02047e-09 -3.10159e-10
# precision: tgt 2.00e-03 max 3.96e-03 (198.2%) avg 1.13e-03 (56.4%)
1.94639e+00 6.84132e-04 -6.48828e-04 -9.72441e-05 -9.53855e-07 2.00962e-06 1.08477e-06 -9.59274e-07 -9.87181e-07 7.14500e-08 4.89829e-10 -1.64581e-09 -9.84199e-10 1.50973e-09 1.31001e-09 4.34053e-10 -6.76791e-10 -5.32735e-10 -7.64397e-10 1.06364e-09

#cal2k_z7_q1
4 7 0 20
# precision: tgt 2.00e-03 max 7.36e-03 (368.1%) avg 1.12e-03 (56.0%)
1.09487e-01 -6.82824e-04 -4.10469e-04 -3.52894e-05 1.25939e-06 1.74832e-06 2.84099e-07 3.92060e-07 1.11433e-07 8.85050e-08 -7.06228e-10 -1.58324e-09 5.59034e-10 -6.71137e-10 1.25269e-09 1.06308e-09 2.51204e-11 6.64185e-10 2.23704e-09 2.38521e-09
# precision: tgt 2.00e-03 max 1.02e-02 (512.4%) avg 1.49e-03 (74.3%)
6.45512e-02 -8.45288e-04 -5.25560e-04 -2.35907e-03 1.29494e-06 2.44340e-06 1.95537e-06 -2.46869e-08 2.22823e-06 -1.06102e-05 -5.38443e-10 -2.32962e-09 -1.16614e-09 -8.53092e-10 -2.05749e-09 1.85306e-09 6.92927e-10 -1.05267e-09 1.30831e-09 -1.84718e-08
# precision: tgt 2.00e-03 max 4.19e-03 (209.3%) avg 1.30e-03 (65.2%)
1.94131e+00 2.91341e-04 3.09183e-04 -1.71000e-03 -8.95426e-07 -1.53846e-06 -4.72710e-07 -9.44031e-07 -7.55736e-07 -1.05457e-05 9.55274e-10 1.61565e-09 -2.32364e-10 1.75425e-09 -9.14516e-10 -3.20906e-09 1.02030e-09 1.35634e-10 -3.34534e-09 -2.20932e-08

#cal2k_z7_q2
4 7 1 20
# precision: tgt 2.00e-03 max 8.45e-03 (422.4%) avg 1.00e-03 (50.2%)
1.70235e-01 6.43467e-04 -1.03437e-03 3.49480e-04 8.92128e-07 -3.24436e-06 4.23991e-07 2.16738e-06 -3.56638e-07 1.17616e-06 4.44487e-10 -2.39574e-09 -2.32506e-10 3.75711e-09 -3.26723e-10 -3.86940e-10 -1.46873e-09 6.87177e-12 -2.86125e-10 1.73031e-09
# precision: tgt 2.00e-03 max 9.17e-03 (458.4%) avg 1.18e-03 (58.8%)
8.86876e-02 7.44014e-04 -5.90853e-04 -1.71707e-03 9.51346e-07 -2.23591e-06 -1.71856e-06 2.38931e-07 1.37101e-06 -7.46915e-06 1.06707e-10 -2.00070e-09 -8.79865e-10 7.82734e-10 1.97975e-09 -1.49665e-09 3.63955e-10 -4.80077e-10 -3.66188e-10 -1.35142e-08
# precision: tgt 2.00e-03 max 5.28e-03 (263.8%) avg 1.41e-03 (70.6%)
2.10666e+00 2.21332e-04 -1.91137e-04 -4.74406e-04 8.16816e-08 -3.33454e-07 5.32795e-07 -2.99595e-08 -8.03480e-07 -3.86617e-06 -3.68898e-10 -8.91451e-11 1.14119e-10 -6.34637e-11 4.40898e-10 1.58906e-09 2.93619e-10 -4.89854e-10 -3.29718e-09 -8.33537e-09

#cal2k_z7_q3
4 7 2 20
# precision: tgt 2.00e-03 max 5.13e-03 (256.4%) avg 7.29e-04 (36.5%)
1.72387e-01 4.42269e-04 6.88385e-04 1.03605e-03 5.97427e-07 1.96946e-06 7.87481e-09 1.16455e-06 3.08660e-07 6.17520e-06 1.62586e-10 1.24418e-09 4.39609e-10 1.93163e-09 2.68503e-10 -2.20014e-09 6.41824e-10 -8.86739e-11 5.67304e-10 1.27648e-08
# precision: tgt 2.00e-03 max 9.12e-03 (455.9%) avg 1.13e-03 (56.5%)
1.88734e-01 1.25812e-03 1.06650e-03 2.20397e-04 2.82377e-06 4.11663e-06 8.40984e-07 2.10316e-06 1.02319e-06 -2.50539e-07 2.24126e-09 4.07693e-09 3.34108e-11 3.85143e-09 7.93908e-10 1.58038e-09 1.33318e-09 3.31474e-10 4.30742e-10 -1.98011e-09
# precision: tgt 2.00e-03 max 4.38e-03 (219.1%) avg 1.23e-03 (61.5%)
1.97384e+00 -1.82714e-04 -2.28733e-04 -1.14832e-03 -5.17357e-07 -1.36944e-06 1.57430e-06 -8.21698e-07 1.66429e-06 -9.33225e-06 -5.65719e-10 -1.60989e-09 1.30373e-09 -1.69862e-09 1.82957e-09 4.82843e-10 -8.36752e-10 8.23831e-10 1.82281e-09 -1.73755e-08

#cal2k_z7_q4
4 7 3 20
# precision: tgt 2.00e-03 max 6.79e-03 (339.7%) avg 1.33e-03 (66.5%)
-1.59236e-01 8.57146e-05 -5.97710e-04 -1.72628e-03 3.41471e-07 9.39117e-07 1.76604e-06 -1.46806e-06 -9.84902e-07 -7.32980e-06 -1.35197e-10 -2.56380e-10 9.44674e-10 2.21581e-09 -1.80342e-09 5.95055e-09 -1.27014e-09 1.25143e-09 -5.71312e-09 -7.08261e-09
# precision: tgt 2.00e-03 max 1.05e-02 (522.8%) avg 1.66e-03 (83.1%)
-2.20514e-01 1.50553e-03 -4.30314e-04 7.69286e-05 -3.15476e-06 3.46668e-06 -1.11167e-06 3.08781e-07 2.21631e-06 -2.30703e-06 1.87857e-09 -4.70179e-09 3.25262e-10 7.90423e-10 -1.84613e-09 -7.22377e-10 5.70117e-10 1.51060e-09 7.89357e-10 -5.63820e-09
# precision: tgt 2.00e-03 max 4.03e-03 (201.4%) avg 1.15e-03 (57.6%)
1.91821e+00 1.35597e-04 -1.51038e-04 -2.21602e-03 -7.17634e-07 1.46984e-06 -2.74464e-06 -6.67433e-07 2.28366e-06 -1.65260e-05 8.13567e-10 -2.19074e-09 2.11176e-09 2.04392e-09 -4.15990e-09 -1.07108e-09 -8.96442e-10 2.54997e-09 -6.74245e-10 -2.95566e-08

#cal2k_z8_q1
4 8 0 20
# precision: tgt 2.00e-03 max 6.97e-03 (348.7%) avg 9.24e-04 (46.2%)
1.02627e-01 -5.98546e-04 -3.74299e-04 -3.24993e-05 1.18631e-06 1.62164e-06 8.27635e-07 3.91015e-07 3.40789e-07 2.30976e-07 -7.79323e-10 -1.70880e-09 -3.70082e-10 -8.66276e-10 -3.40320e-10 4.33763e-10 -1.33721e-10 -3.71139e-10 6.16640e-10 1.51044e-09
# precision: tgt 2.00e-03 max 1.06e-02 (530.1%) avg 1.42e-03 (71.2%)
2.02154e-01 -9.17478e-04 -6.29429e-04 -7.06560e-05 1.18399e-06 2.26248e-06 4.99450e-08 1.05236e-07 6.26833e-07 -2.20740e-07 -3.36657e-10 -1.84715e-09 3.33145e-10 -5.73099e-10 2.41561e-10 9.99658e-10 5.76592e-10 9.89876e-11 8.07316e-10 9.15266e-10
# precision: tgt 2.00e-03 max 4.04e-03 (202.1%) avg 1.29e-03 (64.3%)
2.09914e+00 5.25995e-05 1.41623e-04 1.83270e-04 -4.40828e-07 -6.15662e-07 -1.82391e-07 -6.44269e-07 -1.95170e-08 2.69269e-07 6.67616e-10 8.84214e-10 -8.69097e-11 1.10515e-09 7.34173e-11 -7.52944e-10 8.29894e-10 -1.08096e-10 -1.86005e-11 5.48969e-10

#cal2k_z8_q2
4 8 1 20
# precision: tgt 2.00e-03 max 7.84e-03 (392.2%) avg 9.30e-04 (46.5%)
1.62913e-01 7.16211e-04 -1.07066e-03 1.25282e-04 9.30506e-07 -3.27915e-06 1.01569e-06 2.15418e-06 -6.78174e-07 -1.12793e-07 3.36981e-10 -2.26890e-09 6.28262e-10 3.60743e-09 -1.08406e-09 -1.01202e-10 -1.31751e-09 7.79058e-10 -3.22077e-12 -2.27824e-10
# precision: tgt 2.00e-03 max 9.58e-03 (479.0%) avg 1.17e-03 (58.3%)
2.20791e-01 1.00951e-03 -7.62756e-04 -9.42196e-05 1.27485e-06 -2.74901e-06 -2.37875e-07 4.89897e-07 7.64544e-07 -3.19276e-07 2.96598e-10 -2.31903e-09 -1.15907e-10 1.11431e-09 4.05665e-10 -5.07624e-10 1.50739e-10 -3.34130e-10 1.25757e-10 -2.56695e-10
# precision: tgt 2.00e-03 max 5.15e-03 (257.3%) avg 1.32e-03 (66.1%)
2.09840e+00 1.60442e-06 3.70048e-05 9.76350e-05 -2.32643e-07 1.87573e-07 -1.54469e-08 -1.98181e-07 3.19011e-07 5.42746e-07 -5.19719e-10 3.88215e-10 -9.61268e-11 -4.95957e-10 3.19083e-10 4.62095e-10 3.92567e-10 -9.16658e-11 6.59684e-10 2.06168e-09

#cal2k_z8_q3
4 8 2 20
# precision: tgt 2.00e-03 max 4.14e-03 (207.2%) avg 5.88e-04 (29.4%)
9.07445e-02 4.19145e-04 5.76724e-04 -1.33594e-04 5.97683e-07 1.87166e-06 -1.06805e-07 1.10715e-06 -5.55588e-07 4.43575e-07 2.57466e-10 1.39426e-09 -3.41888e-10 1.93744e-09 -9.10690e-10 -1.11987e-10 6.11562e-10 -2.92771e-10 -2.41842e-10 1.47729e-09
# precision: tgt 2.00e-03 max 9.23e-03 (461.6%) avg 1.11e-03 (55.5%)
1.46450e-01 1.12156e-03 9.05590e-04 4.38374e-05 2.73433e-06 3.63126e-06 4.64921e-07 1.80533e-06 1.05428e-06 -8.35928e-07 2.17804e-09 3.69908e-09 5.65997e-10 3.27335e-09 1.31304e-09 -8.13564e-10 1.12579e-09 6.85018e-10 -5.18891e-10 -1.09252e-09
# precision: tgt 2.00e-03 max 3.81e-03 (190.3%) avg 1.16e-03 (58.2%)
1.97732e+00 -5.39894e-04 -5.36707e-04 -2.62989e-04 -9.64119e-07 -1.95736e-06 -7.43848e-07 -1.08830e-06 -4.87910e-07 -1.22104e-06 -7.87922e-10 -1.89004e-09 -1.85360e-10 -1.94085e-09 -6.49030e-10 -1.76870e-09 -9.44764e-10 -4.03368e-11 -8.01665e-10 -9.34037e-10

#cal2k_z8_q4
4 8 3 20
# precision: tgt 2.00e-03 max 7.22e-03 (361.2%) avg 1.30e-03 (65.0%)
-6.05096e-02 9.36383e-05 -6.20659e-04 -3.69252e-05 1.44583e-07 1.43098e-06 3.07157e-07 -1.63048e-06 2.84520e-07 -8.41654e-07 -1.64252e-10 -3.96909e-10 4.72412e-11 2.32551e-09 -2.43226e-10 -1.82717e-10 -1.15427e-09 1.73946e-10 2.54453e-10 -2.47680e-09
# precision: tgt 2.00e-03 max 9.92e-03 (495.9%) avg 1.60e-03 (80.2%)
-2.46801e-01 1.60205e-03 -6.43680e-04 2.18840e-04 -3.14642e-06 3.60800e-06 -8.95116e-08 1.26234e-07 4.72146e-07 1.69481e-06 1.89935e-09 -4.53841e-09 2.91895e-11 7.24662e-10 1.44367e-10 -5.06068e-10 5.91049e-10 3.05034e-11 3.27999e-10 3.78289e-09
# precision: tgt 2.00e-03 max 3.71e-03 (185.5%) avg 1.13e-03 (56.7%)
1.95046e+00 8.25612e-04 -7.89230e-04 3.22999e-05 -1.73258e-06 3.17047e-06 1.11318e-07 -1.67557e-06 4.53505e-08 -4.88957e-07 1.35933e-09 -3.26072e-09 -1.12251e-11 3.11243e-09 -4.18734e-11 4.33922e-10 -1.34852e-09 9.22900e-11 -2.82323e-11 -5.91541e-10

#cal2k_z9_q1
4 9 0 20
# precision: tgt 2.00e-03 max 6.57e-03 (328.6%) avg 8.02e-04 (40.1%)
9.64607e-02 -5.46574e-04 -3.12711e-04 2.85841e-04 1.06419e-06 1.34803e-06 4.02871e-07 2.68131e-07 7.02297e-08 4.22984e-06 -6.55190e-10 -1.44585e-09 9.33457e-11 -6.16025e-10 -3.86913e-10 -1.47005e-09 -2.98688e-11 -9.95344e-11 -1.17232e-09 1.44718e-08
# precision: tgt 2.00e-03 max 9.58e-03 (479.1%) avg 1.23e-03 (61.5%)
2.13937e-01 -1.10263e-03 -7.13374e-04 -8.63861e-04 1.61818e-06 3.02956e-06 1.69236e-06 3.12934e-07 2.87358e-06 -4.21247e-06 -6.28388e-10 -2.90563e-09 -1.24662e-09 -1.37219e-09 -3.18376e-09 9.90179e-10 3.30290e-10 -2.26386e-09 2.63024e-09 -1.14075e-08
# precision: tgt 2.00e-03 max 4.96e-03 (248.2%) avg 1.34e-03 (67.0%)
2.09862e+00 4.78784e-05 8.71422e-05 1.87848e-04 -4.09677e-07 -4.37654e-07 6.53611e-07 -5.14798e-07 2.30505e-07 4.10820e-06 6.58167e-10 6.74487e-10 -8.74255e-10 8.63908e-10 -1.22640e-09 -1.13496e-09 7.55574e-10 -4.26992e-10 -2.28243e-09 1.79007e-08

#cal2k_z9_q2
4 9 1 20
# precision: tgt 2.00e-03 max 6.83e-03 (341.4%) avg 7.45e-04 (37.3%)
1.24768e-01 5.53649e-04 -8.52835e-04 1.03049e-04 7.21697e-07 -2.62576e-06 1.20254e-06 1.74547e-06 -8.75805e-07 -1.58249e-06 2.94757e-10 -1.84071e-09 3.92329e-10 2.92828e-09 -1.49918e-09 9.86342e-10 -1.08662e-09 9.34417e-10 4.19957e-10 -7.26352e-09
# precision: tgt 2.00e-03 max 9.04e-03 (451.9%) avg 9.81e-04 (49.0%)
2.37566e-01 1.13624e-03 -7.92731e-04 -1.10352e-04 1.56437e-06 -3.01258e-06 -3.09064e-08 4.96343e-07 8.65425e-07 -1.56197e-06 5.18886e-10 -2.70691e-09 -2.88648e-11 1.21759e-09 7.51832e-11 -1.37434e-09 1.16194e-10 -5.43347e-10 2.21454e-09 -1.00203e-09
# precision: tgt 2.00e-03 max 5.43e-03 (271.3%) avg 1.33e-03 (66.6%)
2.10101e+00 -1.06531e-04 1.41877e-04 9.11319e-04 -5.47477e-07 7.90305e-07 1.16473e-06 -6.06257e-07 -1.28217e-06 7.22584e-06 -7.44577e-10 1.08372e-09 5.18284e-10 -1.22013e-09 -1.33353e-09 2.75887e-09 7.36324e-10 4.61364e-10 -3.96615e-09 2.60823e-08

#cal2k_z9_q3
4 9 2 20
# precision: tgt 2.00e-03 max 3.35e-03 (167.5%) avg 5.14e-04 (25.7%)
1.17369e-01 6.13927e-04 6.80207e-04 2.29364e-04 1.09413e-06 2.36397e-06 1.01819e-06 1.32742e-06 1.04533e-07 1.04585e-06 7.19312e-10 2.01881e-09 -9.93092e-11 2.34417e-09 1.19699e-10 3.46132e-09 8.67129e-10 -4.86175e-10 1.29768e-09 -1.75170e-09
# precision: tgt 2.00e-03 max 9.76e-03 (488.2%) avg 1.03e-03 (51.3%)
1.07976e-01 8.57750e-04 6.37398e-04 4.18443e-04 2.22224e-06 2.55096e-06 1.20183e-06 1.28378e-06 1.88080e-06 8.89818e-07 1.85532e-09 2.71122e-09 1.15333e-09 2.24055e-09 2.23434e-09 -2.83313e-10 7.99510e-10 1.35507e-09 7.00793e-10 3.62604e-09
# precision: tgt 2.00e-03 max 3.87e-03 (193.3%) avg 1.21e-03 (60.5%)
2.03265e+00 -4.19354e-04 -4.06407e-04 7.96821e-04 -9.82064e-07 -1.83338e-06 1.33816e-06 -9.78785e-07 1.11611e-06 5.51536e-06 -8.90057e-10 -2.05656e-09 1.01997e-09 -1.97425e-09 1.89128e-09 8.15433e-10 -9.02181e-10 8.86954e-10 1.95155e-10 2.46584e-08

#cal2k_z9_q4
4 9 3 20
# precision: tgt 2.00e-03 max 7.87e-03 (393.4%) avg 1.17e-03 (58.7%)
-7.73231e-02 2.23787e-04 -7.22576e-04 1.19428e-04 -6.73691e-08 1.77351e-06 4.20767e-07 -1.78095e-06 2.55960e-07 4.30280e-07 -1.32882e-10 -6.75363e-10 -7.10682e-10 2.50667e-09 1.88384e-10 -2.25371e-09 -1.21844e-09 -1.83792e-10 2.00188e-09 -2.86346e-09
# precision: tgt 2.00e-03 max 1.02e-02 (509.2%) avg 1.57e-03 (78.3%)
-2.78653e-01 1.58876e-03 -6.98730e-04 -6.06458e-04 -2.82973e-06 3.49238e-06 1.42951e-06 5.21790e-08 -2.57171e-07 -4.65220e-06 1.49606e-09 -4.05996e-09 -1.09404e-09 7.11564e-10 9.31868e-10 4.78049e-09 5.34794e-10 4.88825e-11 -3.88831e-09 -8.82916e-09
# precision: tgt 2.00e-03 max 4.16e-03 (207.8%) avg 1.16e-03 (58.2%)
2.03010e+00 4.70257e-04 -4.33960e-04 6.85530e-04 -1.15634e-06 2.04397e-06 -5.68728e-07 -1.18313e-06 1.11533e-06 6.78520e-06 1.01034e-09 -2.32365e-09 2.75553e-11 2.24912e-09 -5.52395e-10 -3.36327e-09 -1.19541e-09 8.34642e-10 4.77142e-09 2.38492e-08

#its2k_z0_q1
0 0 0 20
# precision: tgt 2.00e-03 max 3.89e-03 (194.5%) avg 2.96e-04 (14.8%)
1.42671e+00 2.78836e-02 3.88118e-03 1.29765e-02 -5.98801e-05 2.69549e-05 9.55648e-05 -6.09966e-07 1.82588e-05 3.60488e-05 2.88669e-08 -1.13302e-08 -1.24084e-07 8.00389e-09 5.27854e-08 7.20469e-08 -1.87012e-08 -6.69691e-09 2.10609e-08 3.19158e-08
# precision: tgt 2.00e-03 max 2.36e-03 (117.8%) avg 1.95e-04 (9.8%)
-5.44224e+00 5.71107e-03 5.09465e-03 -3.09474e-02 -4.31604e-07 -4.71419e-05 2.11311e-05 3.30383e-05 9.20384e-06 -5.86466e-05 2.98011e-09 1.98240e-08 -4.32005e-10 -1.09378e-09 -9.92296e-08 1.95120e-08 -4.23912e-09 6.05233e-08 -1.03366e-08 -3.70141e-08
# precision: tgt 2.00e-03 max 5.21e-03 (260.5%) avg 5.33e-04 (26.6%)
-3.90660e+00 2.67381e-02 -2.10703e-02 -3.07976e-02 7.20508e-06 -1.64974e-05 1.19758e-04 -3.88538e-05 -8.69655e-05 -4.86386e-05 2.04908e-08 6.53112e-08 7.15465e-09 7.56071e-10 -2.21097e-08 1.36375e-07 7.31115e-08 -8.19606e-08 -8.84743e-08 -1.86231e-08

#its2k_z0_q2
0 0 1 20
# precision: tgt 2.00e-03 max 5.82e-03 (291.0%) avg 5.07e-04 (25.4%)
9.90346e+00 -2.65478e-02 8.06299e-03 6.18271e-02 -6.45912e-05 -1.57383e-05 -1.18210e-04 -9.83689e-06 3.40034e-05 1.29968e-04 1.01403e-07 -2.69729e-08 -1.56562e-07 1.34147e-08 -3.10431e-08 -1.37450e-07 -9.46313e-09 -2.22130e-08 3.60320e-08 9.21488e-08
# precision: tgt 2.00e-03 max 2.41e-03 (120.7%) avg 2.58e-04 (12.9%)
-3.38054e+00 1.01335e-02 -1.17552e-02 -2.01461e-02 -3.75464e-06 -5.89666e-05 3.99736e-05 3.28408e-05 -5.51691e-05 -3.99680e-05 -2.91269e-08 4.15694e-08 1.98313e-10 -2.68480e-08 -1.29682e-07 3.88603e-08 1.84053e-08 6.69441e-08 -7.11704e-08 -2.63582e-08
# precision: tgt 2.00e-03 max 5.15e-03 (257.4%) avg 6.49e-04 (32.4%)
1.06180e+01 5.80427e-02 -1.22745e-02 5.34499e-02 -1.13339e-04 8.66257e-05 2.56430e-04 -6.74848e-05 -5.69947e-05 1.14001e-04 -1.21425e-07 4.13736e-08 -2.25518e-07 -1.00720e-07 1.60236e-07 2.82024e-07 6.82856e-08 -1.37611e-07 -6.34164e-08 8.58763e-08

#its2k_z0_q3
0 0 2 20
# precision: tgt 2.00e-03 max 6.99e-03 (349.6%) avg 6.24e-04 (31.2%)
1.04778e+01 -2.26974e-02 -5.89618e-03 6.48604e-02 -5.19024e-05 4.57975e-05 -1.06282e-04 7.67339e-06 -2.91255e-05 1.35404e-04 9.22447e-08 9.26318e-08 -1.31756e-07 7.73308e-08 7.41741e-08 -1.28595e-07 2.35307e-08 5.47763e-09 -3.39776e-08 9.54626e-08
# precision: tgt 2.00e-03 max 4.56e-03 (227.8%) avg 4.75e-04 (23.8%)
3.50517e+00 -7.43183e-03 -6.68738e-03 2.06656e-02 1.20918e-05 -3.90530e-05 -3.11432e-05 1.62211e-06 -4.06973e-05 4.07406e-05 3.62755e-08 6.58280e-08 1.34534e-08 6.71263e-08 -9.79336e-08 -3.16096e-08 6.77627e-08 -1.13305e-08 -6.15746e-08 2.68625e-08
# precision: tgt 2.00e-03 max 9.60e-03 (479.8%) avg 1.28e-03 (63.9%)
8.83436e+00 4.80807e-02 -2.05122e-03 4.45035e-02 -1.53010e-04 -1.47425e-04 2.26019e-04 -1.29341e-04 1.30846e-05 9.89901e-05 -1.43937e-07 -1.16452e-07 -2.95519e-07 -1.77158e-07 -2.61290e-07 2.59899e-07 -1.32241e-07 -2.42163e-07 3.14011e-08 7.74199e-08

#its2k_z0_q4
0 0 3 20
# precision: tgt 2.00e-03 max 3.85e-03 (192.7%) avg 4.33e-04 (21.7%)
1.66862e+00 3.13981e-02 -5.63662e-03 1.46768e-02 -7.49598e-05 -5.13063e-06 1.06311e-04 -8.20061e-06 -2.32587e-05 3.98117e-05 3.23190e-08 -4.22805e-08 -1.51242e-07 4.62669e-08 -1.95570e-08 7.98882e-08 -2.68005e-09 -1.78479e-08 -2.42055e-08 3.45845e-08
# precision: tgt 2.00e-03 max 3.97e-03 (198.7%) avg 4.05e-04 (20.2%)
5.37923e+00 -9.00755e-03 1.10740e-02 3.01926e-02 1.30991e-05 -6.36934e-05 -3.15741e-05 3.51882e-06 2.71331e-05 5.65844e-05 -1.56434e-08 9.45729e-09 2.26219e-08 -1.91594e-08 -1.30435e-07 -2.74292e-08 3.96576e-08 -2.61108e-10 2.57235e-09 3.54407e-08
# precision: tgt 2.00e-03 max 8.96e-03 (447.8%) avg 1.12e-03 (55.8%)
-4.61232e+00 3.78811e-02 6.55026e-03 -3.35476e-02 -3.39623e-05 8.50242e-05 1.54442e-04 -1.00703e-04 4.22894e-05 -5.17910e-05 4.78818e-08 -1.35895e-07 -6.44922e-08 8.12309e-08 1.39252e-07 1.62459e-07 -1.43074e-07 -1.84813e-07 5.55777e-08 -1.95211e-08

#its2k_z1_q1
0 1 0 20
# precision: tgt 2.00e-03 max 2.61e-03 (130.4%) avg 2.67e-04 (13.4%)
3.43046e+00 -1.11472e-02 -1.04798e-02 2.15060e-02 -4.27256e-05 -5.39369e-06 -5.93640e-05 -1.21736e-05 -4.40938e-05 4.59594e-05 6.54487e-09 -8.80592e-09 -9.67085e-08 1.51066e-08 -1.12439e-08 -8.23367e-08 -5.83085e-09 -2.71796e-08 -4.61222e-08 3.36315e-08
# precision: tgt 2.00e-03 max 1.85e-03 (92.3%) avg 2.28e-04 (11.4%)
2.09166e+00 -1.55123e-03 -1.24777e-02 1.26081e-02 -9.82856e-06 -2.98609e-05 -8.30465e-06 -1.57537e-05 -6.58487e-05 2.51522e-05 -2.90603e-09 1.90599e-08 -2.10020e-08 -1.37065e-08 -6.74577e-08 -1.05599e-08 3.08687e-10 -3.75681e-08 -9.04028e-08 1.66189e-08
# precision: tgt 2.00e-03 max 2.23e-03 (111.5%) avg 2.53e-04 (12.6%)
5.57009e+00 5.47875e-03 -7.45091e-03 2.46875e-02 -2.58435e-05 -7.09954e-06 3.04156e-05 -4.67452e-05 -3.42769e-05 5.94596e-05 -8.74732e-09 1.13513e-08 -6.89236e-08 -7.66288e-09 -1.18544e-08 4.17599e-08 2.59202e-09 -1.14577e-07 -3.88253e-08 5.14105e-08

#its2k_z1_q2
0 1 1 20
# precision: tgt 2.00e-03 max 2.26e-03 (113.1%) avg 2.20e-04 (11.0%)
-5.71112e-01 -2.11539e-02 -2.15890e-03 -2.03294e-03 -1.37986e-05 -1.74644e-05 -1.02760e-04 -8.04740e-07 -6.65009e-06 2.10633e-07 3.09716e-08 1.61378e-09 -3.70912e-08 1.94260e-08 -3.79805e-08 -1.29374e-07 -3.25633e-09 -3.01069e-09 -4.24604e-09 4.29779e-09
# precision: tgt 2.00e-03 max 1.63e-03 (81.5%) avg 2.17e-04 (10.8%)
1.47432e+00 1.00305e-02 -1.99550e-02 8.13512e-03 -3.36451e-06 -1.15301e-05 4.28110e-05 -1.39782e-05 -9.66038e-05 1.45901e-05 -4.77932e-09 2.44217e-08 -5.44364e-09 4.67301e-09 -2.86314e-08 4.54956e-08 1.43162e-08 -2.99381e-08 -1.21692e-07 8.45406e-09
# precision: tgt 2.00e-03 max 3.06e-03 (153.2%) avg 3.50e-04 (17.5%)
1.17166e+01 1.81584e-02 -5.47576e-03 6.34917e-02 -8.27282e-05 4.46575e-05 9.26703e-05 -6.29195e-05 -2.86916e-05 1.40955e-04 -1.91199e-08 2.94918e-10 -1.90824e-07 -2.41466e-08 9.28013e-08 1.16150e-07 4.39038e-09 -1.48044e-07 -3.57877e-08 1.08348e-07

#its2k_z1_q3
0 1 2 20
# precision: tgt 2.00e-03 max 2.04e-03 (101.9%) avg 2.84e-04 (14.2%)
-7.63533e-01 -1.69542e-02 1.11173e-03 -3.47007e-03 -1.21007e-05 2.15872e-05 -8.57253e-05 -3.35375e-06 2.50158e-06 -3.25931e-06 2.32033e-08 2.05152e-08 -3.20897e-08 3.50083e-08 4.10791e-08 -1.12157e-07 -7.74890e-10 -9.25793e-09 4.50319e-10 1.56450e-09
# precision: tgt 2.00e-03 max 3.01e-03 (150.3%) avg 2.14e-04 (10.7%)
-1.41135e+00 -9.01436e-03 -2.05454e-02 -7.66254e-03 1.40984e-06 -6.32809e-06 -3.83884e-05 1.64314e-05 -9.97170e-05 -1.34507e-05 5.14896e-09 2.60086e-08 1.33510e-09 8.01358e-09 -1.95759e-08 -4.06794e-08 2.47537e-08 3.20644e-08 -1.25485e-07 -7.50337e-09
# precision: tgt 2.00e-03 max 3.23e-03 (161.4%) avg 4.75e-04 (23.7%)
1.12162e+01 1.78180e-02 4.92885e-03 6.04224e-02 -8.21777e-05 -4.31424e-05 9.12167e-05 -6.29551e-05 2.69829e-05 1.34684e-04 -6.16310e-09 5.94884e-09 -1.93049e-07 -1.34272e-08 -9.15804e-08 1.14868e-07 -3.36062e-10 -1.49808e-07 3.50206e-08 1.04073e-07

#its2k_z1_q4
0 1 3 20
# precision: tgt 2.00e-03 max 3.04e-03 (151.9%) avg 3.62e-04 (18.1%)
4.49373e+00 -1.34476e-02 8.93602e-03 2.79455e-02 -4.35425e-05 1.63541e-05 -6.95750e-05 -2.41327e-05 4.00463e-05 5.88663e-05 1.86062e-09 -2.15292e-09 -9.94939e-08 2.31536e-08 3.28031e-08 -9.37147e-08 -1.19838e-08 -5.01897e-08 4.45698e-08 4.21815e-08
# precision: tgt 2.00e-03 max 1.40e-03 (69.9%) avg 2.45e-04 (12.2%)
-2.15357e+00 -2.43933e-03 -1.04495e-02 -1.32974e-02 7.50673e-06 -2.77697e-05 -8.75480e-06 1.46467e-05 -5.70698e-05 -2.72727e-05 -1.00040e-08 5.66272e-09 1.34635e-08 8.14286e-09 -6.36924e-08 -7.74427e-09 1.37151e-08 3.03960e-08 -8.05501e-08 -1.85537e-08
# precision: tgt 2.00e-03 max 2.35e-03 (117.4%) avg 2.43e-04 (12.2%)
6.12678e+00 6.88908e-03 5.48944e-03 2.82995e-02 -2.47465e-05 1.02953e-05 3.62540e-05 -4.81060e-05 2.69198e-05 6.72494e-05 -1.07476e-08 -1.76527e-08 -6.68226e-08 -8.79604e-09 1.83373e-08 4.78042e-08 -7.39087e-09 -1.16466e-07 3.22151e-08 5.69956e-08

#its2k_z10_q1
0 10 0 20
# precision: tgt 2.00e-03 max 1.88e-04 (9.4%) avg 2.44e-05 (1.2%)
5.41366e-05 3.76136e-06 -3.92239e-06 -7.31593e-06 -1.48846e-07 1.46808e-07 6.51759e-07 -1.90231e-08 -1.62460e-07 3.20260e-08 8.24938e-10 -2.82813e-10 -1.54208e-09 -8.81319e-10 9.81342e-10 -7.01854e-11 2.69912e-10 7.51868e-10 -5.25275e-10 -1.52259e-10
# precision: tgt 2.00e-03 max 2.46e-04 (12.3%) avg 2.83e-05 (1.4%)
-3.66449e-04 8.05994e-07 -1.05640e-05 1.03789e-05 9.02850e-08 -2.29386e-07 -6.11643e-08 2.05792e-07 5.51555e-07 -2.11854e-09 -9.10826e-10 2.27527e-09 4.25933e-10 1.20325e-10 -2.25748e-10 -9.13375e-11 -1.31789e-09 4.27277e-11 -1.62639e-10 -7.34211e-12
# precision: tgt 2.00e-03 max 1.53e-04 (7.7%) avg 1.52e-05 (0.8%)
2.04505e+00 -2.12054e-05 2.29855e-06 6.66102e-06 2.75031e-07 2.43299e-07 9.43583e-09 2.78456e-07 -4.38435e-08 -5.22208e-07 8.08617e-10 -2.09218e-09 6.59656e-11 3.30045e-10 1.09411e-10 -5.24300e-10 1.04808e-10 3.11482e-10 4.12115e-11 -3.08680e-11

#its2k_z10_q2
0 10 1 20
# precision: tgt 2.00e-03 max 2.60e-04 (13.0%) avg 3.60e-05 (1.8%)
-2.53102e-04 -8.57415e-06 6.74993e-06 -9.52806e-06 5.29555e-08 -1.09821e-08 4.06385e-07 -1.67413e-07 -9.44587e-09 3.88923e-08 1.82578e-09 9.63802e-10 -1.35263e-09 7.88104e-10 -1.44328e-09 -3.96280e-10 1.05519e-09 -3.65981e-10 4.75611e-11 3.16826e-11
# precision: tgt 2.00e-03 max 2.09e-04 (10.5%) avg 3.43e-05 (1.7%)
-1.14876e-04 3.06816e-06 -1.20409e-05 1.31625e-05 -6.66911e-09 2.77022e-08 -4.66290e-09 -2.66412e-09 5.22872e-07 5.42968e-09 4.48963e-10 3.89429e-09 -9.33023e-11 3.01847e-09 -5.51352e-11 -2.54918e-10 1.08749e-09 -1.70541e-10 -2.67201e-10 -3.99661e-11
# precision: tgt 2.00e-03 max 3.37e-04 (16.9%) avg 3.33e-05 (1.7%)
2.04500e+00 -6.06291e-06 2.41700e-06 8.73029e-06 2.51642e-07 -2.40629e-07 8.04780e-08 2.36178e-07 -8.62161e-08 -5.02169e-07 -2.43685e-12 -1.37840e-09 -1.95902e-10 5.22981e-10 -4.11907e-10 1.49780e-10 5.67725e-10 3.40452e-10 -2.86334e-10 -1.76740e-11

#its2k_z10_q3
0 10 2 20
# precision: tgt 2.00e-03 max 2.11e-04 (10.5%) avg 2.62e-05 (1.3%)
-3.37047e-04 -4.77226e-06 -3.42844e-06 -7.28065e-06 1.95169e-07 -2.18570e-07 5.58671e-07 4.97901e-09 -7.42568e-08 6.14798e-08 2.40244e-09 -9.01578e-10 2.05067e-10 -1.59226e-09 1.04791e-10 2.49252e-10 5.62089e-10 -5.38244e-10 -2.22633e-10 -2.03703e-11
# precision: tgt 2.00e-03 max 2.28e-04 (11.4%) avg 3.59e-05 (1.8%)
-4.12455e-04 -8.72358e-08 -1.40464e-05 1.04556e-05 -6.36623e-08 2.24932e-07 3.49914e-08 -1.94028e-07 4.87259e-07 -5.99861e-09 -6.38656e-10 2.81422e-09 4.48693e-10 3.59665e-10 -3.51479e-10 1.28162e-10 -9.53121e-10 -1.80156e-10 -2.77660e-11 -1.81912e-10
# precision: tgt 2.00e-03 max 2.04e-04 (10.2%) avg 1.44e-05 (0.7%)
2.04498e+00 -4.54478e-06 1.76216e-05 7.44250e-06 2.61706e-07 1.94365e-07 6.85367e-08 2.48802e-07 6.51205e-08 -5.15977e-07 -2.85279e-10 1.85969e-09 -1.61298e-10 -3.12756e-10 -3.69084e-11 -2.97462e-11 -2.55316e-10 5.06861e-10 1.64414e-10 -8.68128e-11

#its2k_z10_q4
0 10 3 20
# precision: tgt 2.00e-03 max 3.62e-04 (18.1%) avg 3.20e-05 (1.6%)
1.19412e-04 5.30544e-06 9.30242e-06 -3.68202e-06 -2.42233e-07 -1.89293e-07 5.36658e-07 -1.63697e-09 5.91134e-08 6.69868e-08 1.44726e-09 2.79044e-10 -1.32723e-09 -1.66484e-09 -1.37519e-09 -7.35535e-10 -3.65338e-10 1.40122e-10 -2.09289e-11 -7.00969e-11
# precision: tgt 2.00e-03 max 3.23e-04 (16.2%) avg 3.18e-05 (1.6%)
-1.74118e-04 2.77836e-06 -5.55997e-06 1.08196e-05 -1.07839e-07 -1.96667e-07 -4.37534e-08 -7.11064e-08 4.16405e-07 9.99950e-09 4.66102e-10 -3.19801e-10 1.85000e-10 -1.82188e-09 -9.11732e-10 2.73750e-11 -5.29390e-10 -1.02209e-09 -4.89983e-10 6.25007e-11
# precision: tgt 2.00e-03 max 2.39e-04 (12.0%) avg 2.53e-05 (1.3%)
2.04505e+00 -1.51945e-05 2.21601e-05 7.86161e-06 1.62717e-07 -3.13367e-07 2.85668e-08 2.88903e-07 3.42701e-08 -5.26618e-07 1.09775e-09 8.88611e-10 -3.40901e-10 -1.71517e-09 -3.92944e-10 -4.17976e-10 -4.43245e-10 -8.65263e-11 -4.93817e-12 -8.23713e-11

#its2k_z11_q1
0 11 0 20
# precision: tgt 2.00e-03 max 2.43e-04 (12.1%) avg 2.76e-05 (1.4%)
-4.69997e-05 4.07888e-06 -6.09630e-06 -8.02945e-06 -1.11906e-07 4.90523e-08 4.58227e-07 6.91930e-08 8.91465e-08 3.52444e-08 5.47646e-10 4.87894e-10 5.40053e-10 -8.52919e-10 -1.78735e-10 2.31312e-10 -3.65322e-10 -3.24695e-10 -4.30981e-10 -8.78157e-11
# precision: tgt 2.00e-03 max 1.63e-04 (8.2%) avg 1.41e-05 (0.7%)
-2.79945e-04 7.18421e-06 -1.34698e-05 6.80745e-06 -4.20201e-08 -1.26236e-07 -4.19287e-08 1.99248e-07 5.70962e-07 3.12892e-08 -2.25399e-10 2.07106e-09 5.55854e-10 -6.00794e-10 -3.68081e-10 -1.48359e-10 -1.16376e-09 3.56565e-12 -8.66410e-12 -1.01667e-10
# precision: tgt 2.00e-03 max 2.47e-04 (12.4%) avg 1.63e-05 (0.8%)
2.04488e+00 -1.74431e-05 3.05662e-06 1.48288e-05 3.76353e-07 7.01176e-08 -3.54201e-08 3.19614e-07 -7.76945e-08 -6.23260e-07 -4.49136e-10 -4.43324e-10 -1.81480e-10 4.22444e-10 4.21769e-10 6.01802e-10 -2.58325e-11 -3.93162e-10 8.94904e-10 8.00387e-11

#its2k_z11_q2
0 11 1 20
# precision: tgt 2.00e-03 max 1.69e-04 (8.5%) avg 2.96e-05 (1.5%)
-8.50448e-05 3.73561e-06 -6.45829e-06 -7.59650e-06 -6.72646e-08 -9.58146e-08 5.94553e-07 1.00969e-07 5.97893e-08 -5.04953e-10 -4.17363e-10 9.78881e-10 8.13482e-10 1.20341e-09 3.39918e-10 1.13729e-11 -4.28579e-10 -1.93434e-10 -9.77835e-11 8.05413e-11
# precision: tgt 2.00e-03 max 2.44e-04 (12.2%) avg 2.32e-05 (1.2%)
-5.20873e-04 -2.62047e-06 -1.52681e-06 1.01255e-05 2.92448e-08 -1.15252e-07 4.31058e-08 -4.06633e-08 6.05462e-07 7.32042e-09 5.97198e-10 -3.67924e-10 1.01679e-10 6.73656e-10 1.58070e-10 6.80476e-12 1.27271e-10 -5.13797e-10 -6.39059e-12 -5.97806e-11
# precision: tgt 2.00e-03 max 2.03e-04 (10.1%) avg 2.45e-05 (1.2%)
2.04503e+00 -5.43689e-07 4.88010e-06 4.39204e-06 3.32335e-07 -2.16552e-07 1.76419e-07 1.63910e-07 9.94083e-08 -5.05373e-07 4.15962e-10 -1.06343e-09 1.46233e-09 5.82984e-10 3.92610e-10 -5.22923e-10 1.22182e-09 -5.35640e-10 -3.75355e-10 -2.49031e-10

#its2k_z11_q3
0 11 2 20
# precision: tgt 2.00e-03 max 2.74e-04 (13.7%) avg 2.91e-05 (1.5%)
-2.97694e-04 -9.60153e-06 1.47235e-05 -7.35319e-06 -1.15987e-07 -8.75909e-08 5.81428e-07 2.76676e-07 -1.12374e-07 6.46785e-09 1.11798e-10 -2.52957e-09 4.50580e-10 1.38918e-09 6.18416e-10 8.23827e-11 1.34677e-09 -1.09514e-09 1.77987e-10 3.47708e-11
# precision: tgt 2.00e-03 max 1.11e-04 (5.5%) avg 1.49e-05 (0.7%)
-2.06229e-04 2.44323e-06 -6.88952e-06 8.79257e-06 7.11427e-10 7.91249e-09 6.20877e-08 -9.45206e-08 4.84865e-07 -3.25137e-09 -1.64667e-10 6.82592e-10 7.23893e-10 -1.97891e-10 -9.09085e-10 -1.43142e-10 -6.70912e-10 4.18273e-10 2.12255e-10 5.06472e-12
# precision: tgt 2.00e-03 max 3.02e-04 (15.1%) avg 1.57e-05 (0.8%)
2.04504e+00 -3.48526e-06 2.19208e-05 5.55291e-06 2.79742e-07 1.24917e-07 1.36294e-07 3.38805e-07 -7.93065e-08 -5.36204e-07 1.33411e-10 5.41883e-10 1.36484e-09 -3.41155e-10 -3.47222e-10 -7.42278e-11 2.54462e-10 -6.49073e-10 -1.19093e-10 1.48130e-11

#its2k_z11_q4
0 11 3 20
# precision: tgt 2.00e-03 max 2.95e-04 (14.7%) avg 2.33e-05 (1.2%)
-6.34066e-05 1.22376e-05 1.37180e-05 -8.14325e-06 -3.38587e-07 -1.48419e-07 4.39388e-07 1.39164e-07 -8.99757e-08 2.02502e-08 2.21269e-09 1.54504e-10 6.73476e-10 -1.84939e-09 2.45460e-10 2.97022e-10 4.26226e-10 -4.77597e-10 2.75327e-10 -5.20033e-11
# precision: tgt 2.00e-03 max 2.47e-04 (12.3%) avg 3.59e-05 (1.8%)
-1.70705e-04 5.17126e-06 -6.97925e-07 1.01171e-05 -5.89238e-08 -5.35657e-08 -5.44196e-08 2.01231e-08 4.35521e-07 -1.28083e-09 -1.89314e-10 -1.79930e-09 2.16459e-10 -2.23910e-09 -1.95119e-10 1.13969e-10 -5.16925e-10 -6.06821e-10 3.20352e-10 -9.33841e-11
# precision: tgt 2.00e-03 max 9.43e-05 (4.7%) avg 1.21e-05 (0.6%)
2.04482e+00 -1.39592e-05 1.84888e-05 1.39753e-05 2.94772e-07 -1.15595e-07 -2.89684e-08 3.24135e-07 8.73872e-08 -6.03570e-07 2.27338e-10 4.48405e-10 -2.52018e-10 -3.69544e-10 -4.12329e-10 4.99614e-10 -3.15966e-11 -1.82621e-10 -1.14268e-09 -7.29162e-11

#its2k_z12_q1
0 12 0 20
# precision: tgt 2.00e-03 max 1.48e-04 (7.4%) avg 2.31e-05 (1.2%)
-8.56239e-05 1.34592e-06 -2.64635e-06 -6.34025e-06 -6.57930e-08 8.01466e-08 4.76117e-07 4.49121e-10 4.04310e-08 1.37982e-08 6.84225e-10 -6.85943e-10 -7.06358e-11 -2.96167e-10 4.20564e-11 4.14650e-10 -1.44205e-11 -9.33183e-11 -1.97418e-10 -1.57610e-11
# precision: tgt 2.00e-03 max 1.33e-04 (6.6%) avg 1.31e-05 (0.7%)
-3.50922e-04 5.77327e-06 -1.16312e-05 9.53210e-06 5.10924e-08 -1.87893e-07 -6.77041e-08 1.75403e-07 5.69779e-07 -4.41098e-09 -8.91512e-10 1.80892e-09 3.20486e-10 3.03495e-11 3.50891e-10 5.60491e-11 -8.45454e-10 -6.32466e-10 2.21093e-10 3.85397e-11
# precision: tgt 2.00e-03 max 1.48e-04 (7.4%) avg 9.95e-06 (0.5%)
2.04493e+00 -1.62296e-05 2.90900e-06 1.23264e-05 3.21693e-07 1.53958e-07 -5.78315e-08 2.70252e-07 -5.92756e-08 -5.80485e-07 -1.53370e-10 -5.82917e-10 2.90927e-10 1.24281e-11 -4.91368e-10 7.63291e-10 3.33089e-10 -1.61169e-11 7.16743e-10 -2.06906e-10

#its2k_z12_q2
0 12 1 20
# precision: tgt 2.00e-03 max 1.37e-04 (6.9%) avg 2.54e-05 (1.3%)
-3.57839e-05 8.25401e-06 -3.50039e-06 -9.73943e-06 5.29628e-08 -3.85630e-08 5.51235e-07 5.60659e-08 4.91997e-08 3.04993e-08 3.65049e-10 4.37573e-10 5.19271e-10 -3.04423e-10 5.25462e-10 1.78196e-10 -5.11914e-10 9.67224e-11 -1.76275e-10 -7.91534e-11
# precision: tgt 2.00e-03 max 2.08e-04 (10.4%) avg 2.27e-05 (1.1%)
-5.83689e-04 -2.31756e-06 1.75457e-06 1.25164e-05 2.56876e-08 -1.58001e-07 7.61974e-08 -1.26202e-07 5.80512e-07 -2.07669e-08 2.17210e-10 -1.93048e-09 2.36847e-10 -7.69889e-11 -1.38448e-10 -1.41871e-10 6.37362e-10 -4.70416e-10 1.32449e-10 4.92754e-11
# precision: tgt 2.00e-03 max 1.85e-04 (9.3%) avg 1.40e-05 (0.7%)
2.04504e+00 6.60213e-06 1.09028e-05 4.48565e-06 4.64104e-07 -2.04087e-07 6.95887e-08 8.15460e-08 -1.37946e-08 -5.06809e-07 8.07330e-10 -1.64503e-09 -4.38874e-11 -3.65658e-10 5.73859e-10 -5.95208e-10 1.33396e-09 3.42741e-10 1.82390e-10 -3.54944e-10

#its2k_z12_q3
0 12 2 20
# precision: tgt 2.00e-03 max 2.74e-04 (13.7%) avg 3.80e-05 (1.9%)
-2.57076e-04 -5.06527e-06 1.07424e-05 -8.80457e-06 -3.34693e-08 -2.89561e-08 5.37192e-07 1.40091e-07 -9.27814e-08 2.53482e-08 6.43835e-10 -1.95272e-09 2.01454e-10 1.52662e-09 3.61841e-10 1.89145e-10 2.91508e-10 -6.85003e-10 2.21892e-10 -7.50303e-11
# precision: tgt 2.00e-03 max 1.27e-04 (6.3%) avg 2.06e-05 (1.0%)
-1.88492e-04 4.89666e-06 -8.12810e-06 7.68137e-06 8.57776e-08 -8.63333e-08 4.17957e-08 -7.11247e-08 4.89551e-07 1.58866e-08 2.03348e-10 1.12622e-09 1.93335e-10 -1.82871e-09 -5.94633e-10 -2.05033e-10 -3.15573e-11 4.89601e-10 3.08235e-10 -1.03473e-10
# precision: tgt 2.00e-03 max 3.22e-04 (16.1%) avg 1.72e-05 (0.9%)
2.04503e+00 2.27910e-06 1.69498e-05 6.07818e-06 4.28642e-07 1.04248e-07 9.34917e-08 2.58480e-07 5.27069e-10 -5.29847e-07 9.40849e-10 4.52296e-10 1.43169e-10 -7.57084e-10 -6.16709e-10 -6.81604e-10 -8.18501e-11 4.63576e-11 -4.37105e-10 -2.60025e-10

#its2k_z12_q4
0 12 3 20
# precision: tgt 2.00e-03 max 2.36e-04 (11.8%) avg 2.58e-05 (1.3%)
-1.36727e-04 9.71054e-06 9.88143e-06 -5.59400e-06 -2.56536e-07 -8.90828e-08 4.55194e-07 1.07276e-07 -3.27176e-08 -1.02261e-08 1.80033e-09 4.73624e-10 2.01617e-10 -6.42533e-10 2.31226e-10 4.48747e-10 6.58888e-10 6.13516e-11 1.73474e-10 9.15231e-11
# precision: tgt 2.00e-03 max 2.77e-04 (13.8%) avg 3.76e-05 (1.9%)
-1.11059e-04 3.50532e-06 -3.41141e-06 7.52009e-06 -3.98210e-08 -9.60922e-08 -3.72370e-08 -7.97839e-08 4.42581e-07 2.88855e-08 -1.19512e-10 -1.26141e-09 -9.66473e-11 -2.45954e-09 -3.62108e-10 1.38565e-10 -1.33625e-09 -4.16877e-10 3.73162e-10 -1.79545e-10
# precision: tgt 2.00e-03 max 5.88e-05 (2.9%) avg 8.74e-06 (0.4%)
2.04484e+00 -1.31345e-05 1.89592e-05 1.31249e-05 2.67703e-07 -1.75113e-07 -6.71368e-08 2.97842e-07 5.58228e-08 -5.89809e-07 3.48204e-10 7.74185e-10 2.16754e-10 -2.16722e-10 5.29920e-10 8.53709e-10 -5.48141e-11 1.53210e-10 -8.17560e-10 -1.72426e-10

#its2k_z13_q1
0 13 0 20
# precision: tgt 2.00e-03 max 1.54e-04 (7.7%) avg 2.00e-05 (1.0%)
-3.57403e-04 4.84996e-06 -1.08173e-06 3.70790e-07 -9.22397e-08 1.37569e-07 4.06110e-07 -3.87841e-08 1.71261e-08 -3.89352e-08 1.13306e-09 -1.07609e-09 -2.19074e-10 -7.26949e-10 3.73537e-11 8.12243e-10 2.94340e-10 5.01936e-11 -1.23711e-10 1.14748e-10
# precision: tgt 2.00e-03 max 1.09e-04 (5.5%) avg 1.15e-05 (0.6%)
-6.32157e-04 2.35581e-06 -4.15488e-06 1.60146e-05 1.29684e-07 -1.77538e-07 -5.68701e-08 9.49466e-08 4.74032e-07 -5.03219e-08 -1.10676e-09 1.03738e-09 -3.35131e-11 1.85880e-10 6.56945e-10 9.24776e-11 -8.03588e-11 -7.60824e-10 6.87145e-10 1.27408e-10
# precision: tgt 2.00e-03 max 6.29e-05 (3.1%) avg 5.13e-06 (0.3%)
2.04528e+00 -1.57586e-05 3.33090e-06 2.51660e-06 2.81376e-07 2.41545e-07 -6.60646e-08 2.16978e-07 -5.46137e-08 -4.85252e-07 -1.62956e-10 -4.34630e-10 6.72269e-10 2.38905e-10 -1.60523e-09 8.33199e-10 2.74609e-10 5.24577e-10 6.57998e-10 -5.29360e-10

#its2k_z13_q2
0 13 1 20
# precision: tgt 2.00e-03 max 1.41e-04 (7.1%) avg 2.22e-05 (1.1%)
1.05667e-04 1.44826e-05 -7.70313e-08 -1.31606e-05 1.33439e-07 3.28863e-08 4.68046e-07 5.47128e-08 7.84058e-09 5.67708e-08 8.42038e-10 2.23902e-10 3.33401e-10 -1.42527e-09 4.18864e-10 5.22628e-10 -8.35798e-10 1.87077e-10 -1.49856e-11 -1.44912e-10
# precision: tgt 2.00e-03 max 2.45e-04 (12.3%) avg 2.46e-05 (1.2%)
-7.96181e-04 1.07031e-06 9.87132e-06 1.73344e-05 7.62592e-08 -1.87639e-07 6.04010e-08 -2.03167e-07 4.75073e-07 -5.46248e-08 2.01756e-10 -3.18114e-09 9.16162e-11 -1.03223e-09 -5.03324e-11 -1.17776e-10 8.74150e-10 -2.57779e-10 5.72809e-10 1.22303e-10
# precision: tgt 2.00e-03 max 1.31e-04 (6.5%) avg 9.23e-06 (0.5%)
2.04498e+00 2.34719e-06 1.55937e-05 4.12445e-06 3.58150e-07 -2.81742e-07 1.12026e-07 8.01707e-08 -1.26155e-07 -4.81401e-07 -2.27095e-10 -1.17153e-09 -3.10522e-10 2.27254e-10 1.25507e-09 -1.01445e-09 8.87449e-10 1.01813e-09 6.07822e-10 -5.27718e-10

#its2k_z13_q3
0 13 2 20
# precision: tgt 2.00e-03 max 2.87e-04 (14.4%) avg 4.70e-05 (2.3%)
-6.52538e-05 1.86110e-06 6.75000e-06 -1.32594e-05 1.42076e-08 -3.39481e-09 4.39336e-07 5.20504e-08 -5.62987e-08 5.91549e-08 1.12252e-09 -2.08620e-09 2.05705e-10 1.58563e-09 5.88185e-11 5.96962e-10 -1.92937e-10 -3.09359e-10 1.13633e-10 -1.62370e-10
# precision: tgt 2.00e-03 max 1.38e-04 (6.9%) avg 2.72e-05 (1.4%)
-1.96053e-05 5.80328e-06 -5.54004e-06 3.31148e-06 1.10649e-07 -1.24327e-07 3.73541e-08 -3.61620e-08 4.32749e-07 5.00957e-08 -2.01208e-10 1.78155e-09 -3.08722e-10 -2.69428e-09 -3.58535e-10 -3.05812e-10 6.94368e-10 6.86443e-10 7.13000e-10 -1.76810e-10
# precision: tgt 2.00e-03 max 2.03e-04 (10.2%) avg 7.86e-06 (0.4%)
2.04520e+00 1.45684e-06 1.15519e-05 -5.10690e-07 3.59040e-07 1.98428e-07 9.61095e-08 2.26187e-07 1.14505e-07 -4.46785e-07 1.24092e-10 2.16021e-10 -1.93522e-10 -7.79264e-12 -1.17280e-09 -9.13643e-10 -1.07915e-10 5.45431e-10 -9.03713e-10 -6.16074e-10

#its2k_z13_q4
0 13 3 20
# precision: tgt 2.00e-03 max 2.25e-04 (11.3%) avg 2.37e-05 (1.2%)
-5.48787e-04 1.37523e-05 8.76434e-06 3.50968e-06 -2.28262e-07 -5.51558e-08 3.71401e-07 1.19034e-07 -1.44042e-08 -7.35411e-08 1.72166e-09 2.04080e-10 -5.97055e-11 -6.43457e-10 6.81153e-11 9.09414e-10 7.66416e-10 8.48826e-11 1.33320e-10 2.24261e-10
# precision: tgt 2.00e-03 max 3.18e-04 (15.9%) avg 3.48e-05 (1.7%)
2.24207e-04 -1.07297e-07 -9.61862e-07 1.28256e-06 -3.55467e-08 -1.61289e-07 2.23992e-09 -1.51457e-07 3.66461e-07 5.89587e-08 3.63510e-10 -6.68459e-10 -5.30593e-10 -2.58994e-09 -2.10030e-10 1.39937e-10 -1.55838e-09 5.01418e-11 8.70241e-10 -1.86154e-10
# precision: tgt 2.00e-03 max 5.20e-05 (2.6%) avg 7.62e-06 (0.4%)
2.04515e+00 -1.41308e-05 1.70277e-05 4.23253e-06 2.45576e-07 -2.25291e-07 -4.66106e-08 2.59609e-07 8.00194e-08 -5.03377e-07 1.48204e-10 3.63615e-10 5.64033e-10 1.03226e-10 1.51890e-09 7.75376e-10 1.09029e-10 6.54528e-10 -8.89780e-10 -4.62561e-10

#its2k_z14_q1
0 14 0 20
# precision: tgt 2.00e-03 max 1.81e-04 (9.0%) avg 2.01e-05 (1.0%)
-7.60162e-04 1.77269e-05 -2.88237e-06 7.27568e-06 -1.43177e-07 1.94019e-07 2.44517e-07 -8.20895e-08 4.53112e-08 -7.62362e-08 1.71327e-09 -9.28711e-10 -3.55408e-10 -1.50491e-09 -5.89257e-11 1.39892e-09 3.93293e-10 3.92411e-10 -2.75455e-10 1.75601e-10
# precision: tgt 2.00e-03 max 1.32e-04 (6.6%) avg 1.57e-05 (0.8%)
-1.12226e-03 -3.55198e-06 1.22281e-05 2.39986e-05 1.55544e-07 -1.25302e-07 -1.75772e-09 1.02569e-08 2.83580e-07 -9.10175e-08 -9.22450e-10 1.15914e-10 -1.98936e-10 -6.93506e-11 8.33658e-10 -6.43112e-11 8.12814e-10 -8.34663e-10 1.31760e-09 1.89519e-10
# precision: tgt 2.00e-03 max 9.44e-05 (4.7%) avg 8.54e-06 (0.4%)
2.04628e+00 -1.71656e-05 5.33706e-06 -1.70614e-05 2.29619e-07 3.21311e-07 -4.19164e-08 1.72721e-07 -7.44154e-08 -3.56631e-07 -3.83427e-10 3.28552e-10 1.06673e-09 8.02678e-10 -2.71189e-09 7.72744e-10 -2.19491e-10 1.10978e-09 6.88140e-10 -8.16305e-10

#its2k_z14_q2
0 14 1 20
# precision: tgt 2.00e-03 max 1.83e-04 (9.1%) avg 1.88e-05 (0.9%)
1.14981e-03 3.22534e-05 1.36574e-06 -3.01201e-05 1.71333e-07 1.09264e-07 2.36286e-07 1.00359e-07 -1.69215e-08 1.44656e-07 1.19510e-09 2.22391e-10 3.53890e-10 -2.15373e-09 2.32290e-10 1.31288e-09 -1.08316e-09 -4.88679e-11 1.05778e-10 -2.86623e-10
# precision: tgt 2.00e-03 max 2.44e-04 (12.2%) avg 2.96e-05 (1.5%)
-1.73580e-03 7.93546e-06 2.81598e-05 3.33470e-05 1.15795e-07 -1.96041e-07 -4.51185e-09 -2.59589e-07 2.62276e-07 -1.44084e-07 1.11726e-10 -4.14173e-09 -4.58276e-11 -2.01275e-09 9.75706e-12 6.07842e-11 9.73834e-10 -1.36672e-10 1.24974e-09 2.85226e-10
# precision: tgt 2.00e-03 max 2.18e-04 (10.9%) avg 1.36e-05 (0.7%)
2.04592e+00 -1.14037e-05 2.33879e-05 -1.81667e-05 1.37956e-07 -3.92188e-07 2.18578e-07 1.35311e-07 -2.74607e-07 -3.08386e-07 -1.07579e-09 2.43793e-11 2.82472e-10 7.85535e-10 2.25484e-09 -1.33491e-09 -5.83062e-11 1.48141e-09 1.08953e-09 -9.72226e-10

#its2k_z14_q3
0 14 2 20
# precision: tgt 2.00e-03 max 3.35e-04 (16.7%) avg 5.42e-05 (2.7%)
1.24138e-03 1.52303e-05 -1.96332e-06 -3.66658e-05 2.52373e-08 -7.08269e-09 2.54340e-07 -7.07693e-09 3.54478e-08 1.94855e-07 1.87825e-09 -2.75956e-09 5.63405e-10 1.39141e-09 -3.00916e-10 1.27683e-09 -2.64620e-10 2.22514e-11 -1.49068e-10 -4.15723e-10
# precision: tgt 2.00e-03 max 1.85e-04 (9.3%) avg 3.23e-05 (1.6%)
4.03418e-04 9.38459e-06 1.23040e-05 -1.73065e-06 8.20230e-08 -1.14098e-07 -8.68134e-09 3.14067e-09 2.02284e-07 6.13931e-08 -1.20953e-09 1.96329e-09 -8.28901e-10 -2.80036e-09 -3.99101e-10 -2.89412e-10 1.75756e-09 1.17477e-09 1.59930e-09 -1.52556e-10
# precision: tgt 2.00e-03 max 1.04e-04 (5.2%) avg 1.06e-05 (0.5%)
2.04579e+00 -1.34648e-05 4.42745e-06 -1.56539e-05 1.10459e-07 3.77368e-07 2.13553e-07 2.21644e-07 2.46662e-07 -3.22924e-07 -3.73039e-10 -1.65107e-10 1.00340e-09 7.56848e-11 -2.46504e-09 -1.14101e-09 7.25057e-11 7.37667e-10 -1.43673e-09 -9.46336e-10

#its2k_z14_q4
0 14 3 20
# precision: tgt 2.00e-03 max 3.22e-04 (16.1%) avg 2.56e-05 (1.3%)
-1.11147e-03 2.73311e-05 1.13184e-05 1.11276e-05 -2.03507e-07 -5.03184e-08 1.84129e-07 1.46216e-07 -3.55949e-08 -9.98966e-08 2.13575e-09 -4.26366e-10 -6.43252e-10 -2.06405e-09 -3.22625e-10 1.62295e-09 4.93028e-10 -3.44856e-11 2.28841e-10 2.29283e-10
# precision: tgt 2.00e-03 max 3.71e-04 (18.6%) avg 3.27e-05 (1.6%)
1.38766e-03 -2.18650e-07 8.03046e-06 -1.81298e-05 -7.13360e-08 -2.25675e-07 -3.93108e-09 -2.21366e-07 2.18987e-07 1.63487e-07 1.24739e-09 -5.39521e-10 -9.09499e-10 -2.77865e-09 6.87734e-11 2.88471e-10 -1.06411e-09 8.94176e-10 1.53632e-09 -3.65299e-10
# precision: tgt 2.00e-03 max 6.22e-05 (3.1%) avg 1.06e-05 (0.5%)
2.04657e+00 -1.42447e-05 1.55570e-05 -2.36420e-05 2.26649e-07 -2.35396e-07 -3.44855e-08 2.49226e-07 1.00961e-07 -3.20161e-07 -3.33409e-10 -5.55930e-10 8.99935e-10 6.93387e-10 2.25373e-09 7.19649e-10 4.80435e-10 9.24361e-10 -9.75313e-10 -8.69455e-10

#its2k_z15_q1
0 15 0 20
# precision: tgt 2.00e-03 max 3.46e-04 (17.3%) avg 2.86e-05 (1.4%)
-3.16263e-03 4.87163e-05 -4.70029e-06 3.81198e-05 -1.40925e-07 2.46643e-07 -7.61435e-08 -1.32085e-07 7.67894e-08 -2.05399e-07 2.63428e-09 -1.76376e-10 -9.86230e-10 -2.66965e-09 -1.82107e-10 2.32160e-09 -1.37014e-10 1.09361e-09 -4.72889e-10 3.50248e-10
# precision: tgt 2.00e-03 max 2.69e-04 (13.4%) avg 2.45e-05 (1.2%)
-2.56468e-03 -1.29826e-05 4.83342e-05 4.21617e-05 1.01018e-07 -5.34976e-08 9.99628e-08 -4.20283e-08 -7.22991e-08 -1.64928e-07 -5.74766e-10 -1.25612e-09 3.90012e-11 -3.81290e-10 1.03341e-09 -3.72203e-10 2.06228e-09 -1.24696e-09 2.26594e-09 2.84979e-10
# precision: tgt 2.00e-03 max 1.93e-04 (9.6%) avg 1.99e-05 (1.0%)
2.04862e+00 -1.90849e-05 1.35809e-05 -5.30435e-05 1.71264e-07 3.77375e-07 -1.13215e-08 1.69172e-07 -1.59275e-07 -1.71716e-07 -8.55610e-10 1.51758e-09 1.48930e-09 1.85981e-09 -3.72828e-09 6.94812e-10 -1.13295e-09 1.52855e-09 8.91638e-10 -1.13549e-09

#its2k_z15_q2
0 15 1 20
# precision: tgt 2.00e-03 max 2.45e-04 (12.2%) avg 2.26e-05 (1.1%)
3.15782e-03 7.55767e-05 4.78667e-06 -5.30366e-05 1.86364e-07 1.74366e-07 -2.00695e-07 1.74295e-07 -7.26492e-08 2.24466e-07 1.86119e-09 1.96380e-11 6.79735e-10 -2.64976e-09 6.39784e-12 2.47343e-09 -7.78067e-10 -6.47368e-10 3.41984e-10 -3.63113e-10
# precision: tgt 2.00e-03 max 2.70e-04 (13.5%) avg 4.79e-05 (2.4%)
-4.25078e-03 5.85375e-06 6.87954e-05 6.17281e-05 1.03562e-07 -1.83882e-07 7.27447e-09 -2.20391e-07 -1.52458e-07 -2.41021e-07 5.56200e-11 -5.48352e-09 1.70003e-10 -3.00454e-09 -1.59031e-10 9.61644e-11 9.58969e-10 -4.56722e-10 2.33313e-09 3.74885e-10
# precision: tgt 2.00e-03 max 1.98e-04 (9.9%) avg 2.03e-05 (1.0%)
2.04953e+00 -2.94550e-05 4.11158e-05 -7.66423e-05 -2.59006e-07 -5.56770e-07 2.79759e-07 2.13553e-07 -5.04116e-07 3.66049e-09 1.06040e-10 1.96699e-09 2.65626e-09 -6.70235e-10 4.17182e-09 -1.21149e-09 -1.30890e-09 1.64581e-09 1.77409e-09 -1.52506e-09

#its2k_z15_q3
0 15 2 20
# precision: tgt 2.00e-03 max 3.90e-04 (19.5%) avg 5.96e-05 (3.0%)
2.24742e-03 6.32004e-05 -5.25716e-06 -4.40182e-05 2.53774e-08 -6.45417e-09 -2.38162e-07 -1.34487e-08 7.12132e-08 1.89565e-07 3.41440e-09 -3.69124e-09 1.29683e-09 4.47081e-10 -9.27658e-10 2.60653e-09 -1.11463e-10 5.45267e-11 -2.80449e-10 -3.31310e-10
# precision: tgt 2.00e-03 max 4.42e-04 (22.1%) avg 3.72e-05 (1.9%)
3.15039e-03 7.98778e-06 5.51744e-05 -3.68617e-05 -1.31779e-09 -3.81088e-08 2.56279e-09 5.38548e-08 -2.07528e-07 2.10558e-07 -2.61517e-09 9.26816e-10 -1.33424e-09 -1.95234e-09 -8.40362e-10 -4.59861e-10 3.58372e-09 2.04753e-09 2.74803e-09 -3.62854e-10
# precision: tgt 2.00e-03 max 2.09e-04 (10.4%) avg 1.47e-05 (0.7%)
2.04806e+00 -5.46030e-05 -2.38352e-06 -5.60820e-05 -1.29222e-07 5.10151e-07 5.50288e-07 1.96550e-07 3.32188e-07 -8.98998e-08 1.37153e-09 -7.17017e-10 3.14062e-09 -2.39092e-09 -4.12254e-09 -1.71040e-09 3.38772e-10 7.15419e-10 -1.78842e-09 -1.38672e-09

#its2k_z15_q4
0 15 3 20
# precision: tgt 2.00e-03 max 5.90e-04 (29.5%) avg 4.18e-05 (2.1%)
-3.14140e-03 6.05498e-05 1.59072e-05 3.63114e-05 -1.66038e-07 3.50455e-08 -1.46847e-07 1.32262e-07 -9.60035e-08 -2.02546e-07 3.46490e-09 -1.85789e-09 -1.78927e-09 -5.51310e-09 -1.40981e-09 2.57596e-09 -1.73672e-10 1.19812e-10 4.97935e-10 3.66171e-10
# precision: tgt 2.00e-03 max 3.87e-04 (19.3%) avg 3.27e-05 (1.6%)
2.16857e-03 5.39098e-06 4.39438e-05 -2.39472e-05 -1.97813e-07 -3.35857e-07 -4.11278e-08 -2.61170e-07 -1.51007e-07 1.60406e-07 2.48693e-09 -1.57834e-09 -1.08991e-09 -3.27108e-09 8.01147e-10 4.71550e-10 4.66698e-10 2.00390e-09 2.61601e-09 -3.02845e-10
# precision: tgt 2.00e-03 max 1.16e-04 (5.8%) avg 1.40e-05 (0.7%)
2.05082e+00 -3.37631e-06 2.70902e-05 -8.68225e-05 2.39109e-07 -2.37442e-07 -1.41972e-07 2.16849e-07 -1.97452e-08 -6.15760e-09 -1.06389e-09 -1.70094e-09 1.11475e-09 1.80616e-09 3.00059e-09 9.91274e-10 1.06939e-09 1.28609e-09 -6.76519e-10 -1.39310e-09

#its2k_z16_q1
0 16 0 20
# precision: tgt 2.00e-03 max 2.64e-04 (13.2%) avg 3.36e-05 (1.7%)
-2.19890e-02 5.25391e-04 9.50730e-05 2.10581e-04 -5.33703e-08 -2.25346e-07 -3.81274e-06 2.94520e-07 -7.95062e-07 -7.11008e-07 9.50971e-10 1.81572e-10 -2.00396e-10 3.02597e-10 4.41358e-10 9.76522e-09 -1.27936e-09 -3.42736e-10 1.51753e-09 7.92952e-10
# precision: tgt 2.00e-03 max 3.63e-04 (18.2%) avg 4.90e-05 (2.4%)
-8.75998e-03 2.72852e-06 6.07458e-04 1.09128e-04 -2.75279e-07 3.95633e-07 7.96539e-08 -1.99805e-07 -4.52268e-06 -3.78681e-07 -3.24694e-10 1.26192e-09 8.47958e-10 -2.85297e-09 -7.01300e-10 -3.11643e-10 1.73749e-09 3.67453e-11 1.12040e-08 4.42839e-10
# precision: tgt 2.00e-03 max 2.27e-04 (11.3%) avg 3.72e-05 (1.9%)
2.14084e+00 2.15436e-04 2.25379e-04 -1.17436e-03 2.04889e-07 2.04986e-06 -2.18253e-06 4.16375e-07 -2.22380e-06 4.46826e-06 8.69591e-10 -2.37499e-09 2.67983e-09 2.03640e-10 -6.11569e-09 4.84527e-09 9.15128e-11 2.14846e-09 4.89586e-09 -7.61528e-09

#its2k_z16_q2
0 16 1 20
# precision: tgt 2.00e-03 max 2.58e-04 (12.9%) avg 2.87e-05 (1.4%)
3.24687e-02 4.71455e-04 -1.06152e-04 -3.46137e-04 -3.13883e-08 -2.39932e-08 -3.52926e-06 3.89100e-08 7.30885e-07 1.17234e-06 1.96432e-09 -8.04688e-10 1.19947e-09 -2.21257e-09 4.80698e-10 9.50828e-09 3.49629e-10 -5.94939e-10 -1.12265e-09 -1.33164e-09
# precision: tgt 2.00e-03 max 1.32e-04 (6.6%) avg 2.00e-05 (1.0%)
-2.30417e-02 3.16994e-06 5.34660e-04 2.56230e-04 -4.79008e-08 1.53943e-07 -8.33502e-08 2.37471e-07 -4.04165e-06 -8.87760e-07 -4.67366e-10 -1.63282e-09 1.56140e-10 -1.58226e-09 -5.52577e-10 2.85627e-10 -2.29307e-10 -9.37610e-10 1.04013e-08 1.03623e-09
# precision: tgt 2.00e-03 max 2.27e-04 (11.3%) avg 2.56e-05 (1.3%)
2.14061e+00 -2.37274e-04 2.27600e-04 -1.17269e-03 2.80474e-07 -1.97045e-06 2.26803e-06 3.20945e-07 -2.22876e-06 4.46444e-06 -1.29208e-09 -2.60598e-09 2.23695e-09 1.10135e-09 5.56076e-09 -4.97431e-09 8.04889e-10 2.26832e-09 4.89020e-09 -7.61258e-09

#its2k_z16_q3
0 16 2 20
# precision: tgt 2.00e-03 max 3.41e-04 (17.0%) avg 6.09e-05 (3.0%)
3.61229e-02 4.87372e-04 1.08454e-04 -3.92573e-04 -5.81663e-09 -1.54646e-07 -3.68653e-06 2.36381e-07 -6.67150e-07 1.35924e-06 2.29562e-09 -3.11904e-09 6.79920e-10 1.50042e-09 3.19532e-10 9.75804e-09 -4.97375e-10 -1.00784e-09 9.62885e-10 -1.57666e-09
# precision: tgt 2.00e-03 max 3.05e-04 (15.3%) avg 4.14e-05 (2.1%)
3.19746e-02 4.20522e-05 5.65407e-04 -3.10429e-04 -2.69526e-07 -8.83094e-08 -3.83495e-07 1.95631e-07 -4.14330e-06 1.05778e-06 -1.03850e-09 1.06648e-10 7.55794e-10 -3.10617e-09 -1.08966e-09 7.81747e-10 3.19266e-09 7.17034e-10 1.04072e-08 -1.19673e-09
# precision: tgt 2.00e-03 max 2.93e-04 (14.6%) avg 2.48e-05 (1.2%)
2.05764e+00 -5.85166e-04 -2.11118e-05 -3.18194e-04 1.04229e-07 2.43196e-06 4.84624e-06 1.28581e-07 8.05005e-07 1.54782e-06 -5.58504e-10 2.75100e-09 3.30612e-09 -4.94085e-11 -7.36807e-09 -9.63961e-09 -8.51933e-10 2.74819e-09 -2.46869e-09 -4.31335e-09

#its2k_z16_q4
0 16 3 20
# precision: tgt 2.00e-03 max 2.54e-04 (12.7%) avg 3.15e-05 (1.6%)
-3.59832e-02 5.47864e-04 -6.88019e-05 3.59384e-04 -3.12883e-07 -6.88013e-08 -3.92288e-06 1.87956e-07 6.21197e-07 -1.23755e-06 1.92460e-09 -1.73181e-09 1.07449e-10 -3.18712e-09 2.03758e-10 9.95838e-09 -2.91615e-11 -1.64392e-10 -1.17159e-09 1.41126e-09
# precision: tgt 2.00e-03 max 3.15e-04 (15.8%) avg 2.24e-05 (1.1%)
3.55928e-02 -4.82223e-05 5.63913e-04 -3.53758e-04 -1.02852e-07 -1.85405e-08 3.79654e-07 5.04825e-08 -4.17643e-06 1.22582e-06 6.17544e-10 3.05363e-10 -9.04057e-13 3.14172e-10 5.49211e-12 -6.96975e-10 4.93301e-10 5.10472e-11 1.04376e-08 -1.40914e-09
# precision: tgt 2.00e-03 max 2.74e-04 (13.7%) avg 3.67e-05 (1.8%)
2.02479e+00 6.07093e-04 2.66985e-04 2.20849e-05 3.73868e-07 -1.91062e-06 -5.05400e-06 1.69775e-07 -1.29328e-06 3.79302e-07 1.06243e-09 2.63368e-09 2.09396e-09 -6.80595e-10 5.40289e-09 1.00625e-08 -1.05080e-09 2.51712e-09 1.33153e-09 -2.98224e-09

#its2k_z17_q1
0 17 0 20
# precision: tgt 2.00e-03 max 1.04e-03 (52.1%) avg 1.01e-04 (5.1%)
2.28557e-02 3.32150e-04 -1.81178e-03 -5.63144e-06 4.35372e-06 2.07324e-06 -3.89535e-06 1.15658e-06 1.09751e-05 -6.25827e-07 6.60832e-10 -8.31621e-11 -1.40263e-08 7.61937e-10 -6.85800e-09 1.19619e-08 -8.76676e-10 -3.28424e-09 -1.66055e-08 1.26567e-09
# precision: tgt 2.00e-03 max 1.05e-03 (52.7%) avg 1.05e-04 (5.3%)
-9.27592e-01 -1.31588e-03 -1.97708e-04 8.95999e-03 1.01985e-06 2.73889e-06 7.87140e-06 3.86122e-06 -5.33533e-07 -2.87006e-05 -5.62218e-10 -3.64746e-10 -2.99833e-09 2.08929e-11 -8.38956e-09 -1.17705e-08 1.05781e-09 -1.28467e-08 6.67457e-09 3.05494e-08
# precision: tgt 2.00e-03 max 3.68e-04 (18.4%) avg 4.47e-05 (2.2%)
2.45593e+00 6.30927e-04 8.52597e-04 -4.23908e-03 -1.39470e-06 2.57217e-06 -4.49105e-06 -1.48935e-06 -5.79790e-06 1.43666e-05 -1.48567e-09 1.29327e-09 8.43854e-09 3.10956e-09 -9.42652e-09 7.98563e-09 -1.63289e-09 8.72640e-09 9.92861e-09 -1.82342e-08

#its2k_z17_q2
0 17 1 20
# precision: tgt 2.00e-03 max 1.02e-03 (51.2%) avg 9.59e-05 (4.8%)
6.90174e-01 -6.52758e-04 1.14752e-03 -6.77533e-03 -3.39704e-06 2.94414e-06 2.41783e-06 -1.21183e-06 -6.72466e-06 2.20167e-05 1.67412e-09 -2.75228e-09 1.19007e-08 -4.12938e-09 -8.95063e-09 1.98601e-09 4.93711e-10 3.15316e-09 9.93899e-09 -2.37513e-08
# precision: tgt 2.00e-03 max 1.02e-03 (51.0%) avg 8.38e-05 (4.2%)
-3.70163e-01 1.20637e-03 -3.45670e-04 3.72968e-03 1.35112e-06 -2.24876e-06 -7.12577e-06 4.16188e-06 3.70339e-07 -1.23581e-05 -8.19707e-10 -3.51873e-09 -4.18189e-09 -2.73518e-09 6.97675e-09 1.05286e-08 -4.60815e-11 -1.35247e-08 5.29096e-09 1.35478e-08
# precision: tgt 2.00e-03 max 3.73e-04 (18.6%) avg 4.72e-05 (2.4%)
2.31645e+00 -8.76370e-04 8.46855e-04 -2.94854e-03 -1.45815e-06 -2.42368e-06 5.95235e-06 -1.35428e-06 -5.79777e-06 1.03909e-05 8.89358e-10 7.53016e-10 8.40407e-09 -2.47494e-09 8.71550e-09 -1.02306e-08 -1.36830e-09 8.20893e-09 9.98407e-09 -1.41565e-08

#its2k_z17_q3
0 17 2 20
# precision: tgt 2.00e-03 max 1.23e-03 (61.6%) avg 1.18e-04 (5.9%)
7.86698e-01 -1.48438e-04 -1.16863e-03 -7.63841e-03 -4.40537e-06 -2.12997e-06 -9.45541e-07 -1.47953e-06 6.91602e-06 2.45768e-05 2.67101e-09 -5.49084e-10 1.49908e-08 -8.57581e-10 6.59498e-09 7.52216e-09 -6.33543e-11 4.38699e-09 -1.02547e-08 -2.62705e-08
# precision: tgt 2.00e-03 max 1.08e-03 (53.8%) avg 9.75e-05 (4.9%)
2.48138e-01 -1.59733e-03 -4.03193e-04 -2.61394e-03 -9.38868e-07 -3.50926e-06 9.59865e-06 -3.67381e-06 6.93054e-07 9.06704e-06 -2.57281e-10 -5.05503e-10 3.08484e-09 -3.50694e-09 9.56839e-09 -1.43749e-08 2.73662e-09 1.27734e-08 4.79839e-09 -1.03232e-08
# precision: tgt 2.00e-03 max 4.46e-04 (22.3%) avg 6.08e-05 (3.0%)
2.43233e+00 -5.12804e-04 -1.06665e-03 -3.99945e-03 -2.21433e-06 3.20706e-06 3.59847e-06 -1.44848e-06 7.30276e-06 1.35554e-05 3.44069e-10 -8.18482e-10 1.05295e-08 -2.43766e-09 -1.11089e-08 -6.46584e-09 1.70542e-09 8.63788e-09 -1.25177e-08 -1.73210e-08

#its2k_z17_q4
0 17 3 20
# precision: tgt 2.00e-03 max 1.08e-03 (53.9%) avg 8.22e-05 (4.1%)
-2.77012e-01 -1.53598e-04 1.41113e-03 2.84380e-03 3.89904e-06 -2.28720e-06 -7.39011e-07 1.48087e-06 -8.31429e-06 -9.64393e-06 1.19586e-09 -1.81283e-09 -1.29810e-08 -2.61831e-09 7.32538e-09 6.90522e-09 -5.63937e-10 -4.51625e-09 1.22485e-08 1.07697e-08
# precision: tgt 2.00e-03 max 1.01e-03 (50.7%) avg 9.33e-05 (4.7%)
6.01020e-01 1.32181e-03 -2.13081e-04 -5.88656e-03 -1.25471e-06 2.27217e-06 -7.89823e-06 -4.64999e-06 -6.39281e-07 1.91700e-05 1.49423e-10 9.24108e-11 3.79711e-09 -8.11207e-10 -7.44719e-09 1.17540e-08 -3.33262e-10 1.47356e-08 7.03958e-09 -2.07032e-08
# precision: tgt 2.00e-03 max 4.48e-04 (22.4%) avg 5.70e-05 (2.8%)
2.63773e+00 7.43118e-04 -1.21887e-03 -5.89950e-03 -1.45684e-06 -2.00794e-06 -5.09832e-06 -1.02012e-06 8.30062e-06 1.94092e-05 -1.24159e-09 -2.27320e-09 8.41943e-09 2.30136e-09 7.77131e-09 8.83440e-09 2.22388e-09 7.54036e-09 -1.41386e-08 -2.33288e-08

#its2k_z18_q1
0 18 0 20
# precision: tgt 2.00e-03 max 3.10e-04 (15.5%) avg 3.59e-05 (1.8%)
-3.03193e-01 3.19490e-03 1.02369e-05 2.41156e-03 -7.01524e-07 -9.22349e-07 -1.89961e-05 -2.72073e-07 6.68026e-08 -6.44329e-06 -3.54340e-09 7.74925e-09 -6.32492e-10 -5.46143e-09 5.20521e-10 3.21645e-08 1.69645e-09 7.46270e-11 -1.75190e-10 5.73994e-09
# precision: tgt 2.00e-03 max 3.01e-04 (15.1%) avg 3.85e-05 (1.9%)
-2.96606e-01 1.01312e-04 3.15672e-03 2.39127e-03 -7.40894e-07 -8.90938e-07 -2.44109e-07 -3.20791e-07 -1.89715e-05 -6.38552e-06 2.93102e-09 -6.76987e-09 9.55754e-10 6.81931e-09 9.21098e-10 2.49232e-11 -2.78091e-09 -1.84989e-09 3.23726e-08 5.67515e-09
# precision: tgt 2.00e-03 max 2.79e-04 (14.0%) avg 3.04e-05 (1.5%)
2.63787e+00 2.14464e-03 2.11925e-03 -5.69787e-03 -1.36350e-05 -3.54812e-06 -1.07001e-05 -1.37100e-05 -1.05055e-05 1.81265e-05 -3.46438e-10 -1.34639e-09 4.38885e-08 2.53686e-09 9.35358e-09 1.31903e-08 -7.07857e-10 4.41120e-08 1.28608e-08 -2.13016e-08

#its2k_z18_q2
0 18 1 20
# precision: tgt 2.00e-03 max 4.32e-04 (21.6%) avg 7.72e-05 (3.9%)
2.96978e-01 3.12446e-03 -9.08188e-05 -2.38098e-03 -5.94363e-07 -1.93397e-06 -1.88887e-05 4.46867e-07 2.04421e-07 6.34098e-06 -5.89914e-09 -1.04331e-08 3.35824e-09 -6.21128e-09 2.67247e-09 3.23029e-08 -2.09492e-09 -4.38100e-10 -1.37344e-11 -5.64338e-09
# precision: tgt 2.00e-03 max 3.46e-04 (17.3%) avg 4.28e-05 (2.1%)
-3.03984e-01 -9.17812e-05 3.17498e-03 2.44868e-03 -8.64700e-07 8.23074e-07 1.90975e-07 -1.52963e-07 -1.90892e-05 -6.53961e-06 -2.23473e-09 -6.07698e-09 1.52141e-09 -8.47183e-09 -1.49417e-10 5.79403e-11 -4.42266e-09 -1.85536e-09 3.25326e-08 5.81696e-09
# precision: tgt 2.00e-03 max 2.28e-04 (11.4%) avg 2.32e-05 (1.2%)
2.64413e+00 -2.12753e-03 2.14720e-03 -5.74819e-03 -1.36130e-05 3.73928e-06 1.05970e-05 -1.38056e-05 -1.06242e-05 1.82603e-05 7.71970e-11 -6.57481e-10 4.36679e-08 -1.32723e-10 -1.02897e-08 -1.31020e-08 -2.57776e-10 4.42889e-08 1.29732e-08 -2.14187e-08

#its2k_z18_q3
0 18 2 20
# precision: tgt 2.00e-03 max 5.07e-04 (25.3%) avg 4.53e-05 (2.3%)
2.63925e-01 3.24265e-03 5.96747e-05 -2.12587e-03 9.81591e-07 1.88266e-07 -1.93021e-05 1.03331e-06 -4.40344e-08 5.68689e-06 -2.38129e-09 5.45392e-09 1.56330e-10 -5.84872e-09 9.97386e-10 3.26361e-08 3.64181e-09 -1.40959e-09 -1.75447e-10 -5.08538e-09
# precision: tgt 2.00e-03 max 5.18e-04 (25.9%) avg 4.18e-05 (2.1%)
2.71170e-01 -4.06450e-05 3.22280e-03 -2.15811e-03 4.96697e-07 1.61309e-06 4.89802e-07 -2.69164e-07 -1.93767e-05 5.79181e-06 1.96583e-09 -2.63394e-09 -2.47252e-10 5.87757e-09 -2.29907e-09 -8.45205e-10 -5.28712e-09 2.63182e-09 3.28677e-08 -5.20337e-09
# precision: tgt 2.00e-03 max 2.24e-04 (11.2%) avg 2.32e-05 (1.2%)
2.64343e+00 -2.12698e-03 -2.13753e-03 -5.74085e-03 -1.31613e-05 -3.69381e-06 1.06434e-05 -1.34980e-05 1.07617e-05 1.82362e-05 3.73982e-11 1.45719e-09 4.25815e-08 -9.27641e-10 1.00496e-08 -1.32142e-08 -1.62067e-10 4.32207e-08 -1.35036e-08 -2.13934e-08

#its2k_z18_q4
0 18 3 20
# precision: tgt 2.00e-03 max 3.37e-04 (16.9%) avg 3.53e-05 (1.8%)
-2.96983e-01 3.15384e-03 -4.63249e-05 2.37665e-03 -4.74184e-07 7.38199e-07 -1.88655e-05 -9.14622e-07 -1.94008e-08 -6.38124e-06 -4.21787e-09 -7.60006e-09 -8.04707e-10 -5.82361e-09 2.66621e-10 3.20465e-08 -2.68480e-09 1.44682e-09 2.51506e-10 5.70624e-09
# precision: tgt 2.00e-03 max 4.66e-04 (23.3%) avg 3.30e-05 (1.7%)
2.94265e-01 9.44132e-05 3.21382e-03 -2.34395e-03 4.49466e-07 -1.36697e-06 -7.34056e-07 9.18569e-08 -1.92557e-05 6.29224e-06 -2.62911e-09 -2.16483e-09 1.24382e-10 -4.18451e-09 1.79068e-09 1.09403e-09 -5.08321e-09 1.66753e-09 3.26038e-08 -5.65358e-09
# precision: tgt 2.00e-03 max 2.58e-04 (12.9%) avg 2.70e-05 (1.3%)
2.63809e+00 2.11714e-03 -2.26119e-03 -5.70523e-03 -1.34708e-05 3.57745e-06 -1.05398e-05 -1.37378e-05 1.13667e-05 1.81546e-05 -1.28125e-09 -6.58324e-10 4.36106e-08 1.82938e-10 -9.62526e-09 1.29578e-08 1.67839e-10 4.39924e-08 -1.42291e-08 -2.13290e-08

#its2k_z19_q1
0 19 0 20
# precision: tgt 2.00e-03 max 2.77e-04 (13.9%) avg 5.42e-05 (2.7%)
-4.52191e-01 7.48721e-03 2.03755e-04 3.14738e-03 -1.09799e-06 -8.57213e-07 -4.03741e-05 -1.65971e-07 -9.37418e-07 -7.33051e-06 -3.32091e-09 1.06128e-08 5.80525e-11 -8.94073e-09 4.65027e-10 5.88280e-08 2.12954e-09 -5.40828e-11 1.10118e-09 5.68592e-09
# precision: tgt 2.00e-03 max 3.81e-04 (19.0%) avg 6.49e-05 (3.2%)
-4.54749e-01 1.84851e-04 7.53543e-03 3.19872e-03 -2.85693e-08 -6.60500e-07 -8.15094e-07 -1.23959e-06 -4.06880e-05 -7.45978e-06 1.61278e-09 -1.10853e-08 -1.18581e-10 1.18105e-08 2.38541e-10 8.64468e-10 -2.60393e-09 1.23667e-11 5.93640e-08 5.78412e-09
# precision: tgt 2.00e-03 max 2.82e-04 (14.1%) avg 3.09e-05 (1.5%)
3.76232e+00 2.15833e-03 2.11774e-03 -1.41076e-02 -1.63198e-05 2.98453e-06 -1.07641e-05 -1.63448e-05 -1.04934e-05 3.91185e-05 3.13111e-11 -2.07887e-09 5.05362e-08 2.24521e-09 -6.81870e-09 1.32643e-08 -5.32968e-10 5.06615e-08 1.28391e-08 -3.87903e-08

#its2k_z19_q2
0 19 1 20
# precision: tgt 2.00e-03 max 3.21e-04 (16.0%) avg 6.90e-05 (3.4%)
4.62569e-01 7.44110e-03 -2.33676e-04 -3.24553e-03 -1.62246e-07 -1.82862e-06 -4.03935e-05 3.85922e-07 9.26440e-07 7.56364e-06 -2.00695e-09 -1.06767e-08 3.42850e-09 -1.04169e-08 3.06489e-09 5.91725e-08 -1.30538e-09 -7.80075e-10 -8.61847e-10 -5.88295e-09
# precision: tgt 2.00e-03 max 2.85e-04 (14.2%) avg 4.94e-05 (2.5%)
-4.51629e-01 -1.98708e-04 7.55283e-03 3.17555e-03 5.85390e-08 7.32738e-07 9.12232e-07 -1.20269e-06 -4.07813e-05 -7.40599e-06 -2.10197e-09 -1.01690e-08 -4.54808e-10 -1.10323e-08 -1.89883e-10 -1.03251e-09 -2.55797e-09 2.98961e-11 5.94739e-08 5.74566e-09
# precision: tgt 2.00e-03 max 2.55e-04 (12.7%) avg 2.74e-05 (1.4%)
3.75495e+00 -2.13077e-03 2.15191e-03 -1.40562e-02 -1.61315e-05 -2.49450e-06 1.06156e-05 -1.63519e-05 -1.06403e-05 3.89984e-05 -4.80489e-10 -1.25435e-09 4.98480e-08 6.78008e-10 5.07121e-09 -1.31297e-08 -4.25727e-10 5.07423e-08 1.29714e-08 -3.86955e-08

#its2k_z19_q3
0 19 2 20
# precision: tgt 2.00e-03 max 5.33e-04 (26.6%) avg 5.80e-05 (2.9%)
4.85569e-01 7.41728e-03 1.72494e-04 -3.42405e-03 7.30268e-07 7.47519e-07 -4.01031e-05 5.98608e-07 -6.41756e-07 8.02995e-06 -2.05414e-09 9.76540e-09 1.20367e-09 -9.43876e-09 -2.73490e-10 5.86109e-08 2.55206e-09 -9.01104e-10 5.61894e-10 -6.29132e-09
# precision: tgt 2.00e-03 max 4.34e-04 (21.7%) avg 5.08e-05 (2.5%)
5.17013e-01 -1.05668e-05 7.56401e-03 -3.62529e-03 7.18091e-07 1.31596e-06 3.68657e-07 -3.16296e-07 -4.10685e-05 8.52452e-06 1.11428e-09 -7.57307e-09 -1.36884e-09 7.84981e-09 -2.06650e-09 -7.99824e-10 -1.97304e-09 3.85404e-09 6.00559e-08 -6.70549e-09
# precision: tgt 2.00e-03 max 2.72e-04 (13.6%) avg 2.62e-05 (1.3%)
3.74324e+00 -2.10808e-03 -2.16611e-03 -1.39656e-02 -1.60957e-05 3.36249e-06 1.05404e-05 -1.63703e-05 1.09075e-05 3.87666e-05 -5.40410e-10 3.24592e-09 4.98661e-08 -7.42862e-10 -7.27614e-09 -1.30668e-08 -6.61677e-10 5.02593e-08 -1.36932e-08 -3.84990e-08

#its2k_z19_q4
0 19 3 20
# precision: tgt 2.00e-03 max 3.63e-04 (18.2%) avg 5.17e-05 (2.6%)
-4.65214e-01 7.44147e-03 -2.03362e-04 3.26300e-03 -5.76736e-07 1.05646e-06 -4.02527e-05 -1.75695e-07 8.75038e-07 -7.65866e-06 -2.69228e-09 -8.88470e-09 -1.08905e-09 -8.22731e-09 -7.10838e-10 5.87722e-08 -2.39350e-09 -1.37439e-10 -9.71217e-10 5.98746e-09
# precision: tgt 2.00e-03 max 3.94e-04 (19.7%) avg 5.54e-05 (2.8%)
5.04139e-01 -1.62643e-05 7.63833e-03 -3.52757e-03 7.89819e-07 -1.24161e-06 -2.20113e-07 -1.19610e-07 -4.13938e-05 8.27830e-06 -1.57158e-09 -5.90394e-09 -1.29400e-09 -6.78801e-09 1.66866e-09 5.60064e-10 -3.61338e-09 2.82003e-09 6.03615e-08 -6.49931e-09
# precision: tgt 2.00e-03 max 3.96e-04 (19.8%) avg 3.85e-05 (1.9%)
3.74829e+00 2.08729e-03 -2.34349e-03 -1.40092e-02 -1.58416e-05 -2.70195e-06 -1.04322e-05 -1.66025e-05 1.17097e-05 3.88846e-05 -9.45789e-10 1.08106e-09 4.95731e-08 1.70189e-09 6.04232e-09 1.28666e-08 5.02441e-10 5.11338e-08 -1.45786e-08 -3.86009e-08

#its2k_z2_q1
0 2 0 20
# precision: tgt 2.00e-03 max 1.37e-03 (68.7%) avg 1.11e-04 (5.6%)
6.41541e-01 -5.30030e-03 2.01236e-04 4.88338e-03 -5.36131e-06 4.34205e-06 -3.00340e-05 2.12815e-06 1.79681e-06 1.29423e-05 -1.02692e-08 1.57004e-09 -1.59874e-08 6.57094e-09 1.15423e-08 -4.59406e-08 2.71927e-09 6.65255e-09 3.37335e-09 1.17601e-08
# precision: tgt 2.00e-03 max 1.13e-03 (56.4%) avg 9.01e-05 (4.5%)
3.24432e-01 7.68709e-04 -5.75676e-03 2.45918e-03 1.22140e-06 -5.74702e-06 3.93105e-06 3.09860e-06 -3.19025e-05 6.15892e-06 -4.00059e-10 6.56538e-09 3.60294e-09 -2.12014e-09 -1.34755e-08 5.20051e-09 -6.59608e-09 5.11172e-09 -4.78828e-08 5.14831e-09
# precision: tgt 2.00e-03 max 7.83e-04 (39.1%) avg 9.21e-05 (4.6%)
3.31404e+00 4.18261e-03 1.05444e-03 1.09274e-02 -1.73134e-06 1.26851e-05 2.59632e-05 -2.05827e-06 8.17352e-06 3.14488e-05 -6.06653e-09 9.98074e-09 -1.43166e-08 8.80408e-09 3.46176e-08 3.84840e-08 -6.66058e-09 -1.59454e-08 1.36893e-08 3.23749e-08

#its2k_z2_q2
0 2 1 20
# precision: tgt 2.00e-03 max 1.00e-03 (50.0%) avg 1.14e-04 (5.7%)
-3.52505e-02 -7.25126e-03 -5.67641e-04 -1.11017e-04 -3.76669e-06 -1.49760e-06 -4.05310e-05 2.46512e-06 -2.28920e-06 6.96818e-07 1.82501e-09 4.81058e-09 -9.44411e-09 3.41629e-09 -4.35795e-09 -5.99403e-08 2.85159e-09 6.34768e-09 -2.22279e-09 1.76944e-09
# precision: tgt 2.00e-03 max 8.49e-04 (42.4%) avg 1.10e-04 (5.5%)
1.03232e-01 -4.80250e-04 -6.23016e-03 8.33879e-04 -2.00906e-06 -5.44964e-06 -1.77228e-06 -3.21377e-07 -3.48935e-05 2.14215e-06 1.82743e-09 9.90121e-09 -4.83604e-09 3.70929e-09 -1.46088e-08 -1.54418e-09 -1.67062e-09 -1.91731e-09 -5.22858e-08 1.80924e-09
# precision: tgt 2.00e-03 max 5.48e-04 (27.4%) avg 7.82e-05 (3.9%)
4.13270e+00 1.60983e-03 2.48966e-03 1.69346e-02 -3.18599e-06 -1.64006e-05 7.58392e-06 -2.51374e-06 1.51900e-05 4.61371e-05 3.28170e-09 2.81052e-09 -1.87439e-08 -1.11245e-08 -4.20669e-08 8.94861e-09 -3.21958e-09 -1.59662e-08 2.23324e-08 4.43410e-08

#its2k_z2_q3
0 2 2 20
# precision: tgt 2.00e-03 max 7.73e-04 (38.7%) avg 1.04e-04 (5.2%)
-4.09181e-01 -9.49202e-03 -1.97609e-04 -2.61164e-03 -2.08211e-06 -4.54588e-07 -5.10834e-05 1.16947e-06 -1.03064e-06 -4.86418e-06 -5.60304e-10 -3.41691e-09 -4.57871e-09 8.25079e-10 -3.49635e-10 -7.23787e-08 1.82078e-09 1.88843e-09 -1.22774e-09 -2.34535e-09
# precision: tgt 2.00e-03 max 1.06e-03 (53.0%) avg 1.30e-04 (6.5%)
-4.01642e-01 -6.31787e-04 -8.22363e-03 -2.67539e-03 2.57039e-06 -4.74383e-06 -3.50668e-06 -1.49341e-06 -4.41851e-05 -5.94594e-06 -7.61353e-10 8.77071e-09 6.24592e-09 3.97269e-09 -1.45748e-08 -4.69032e-09 -7.54585e-09 -8.94229e-10 -6.32014e-08 -4.37784e-09
# precision: tgt 2.00e-03 max 6.65e-04 (33.2%) avg 7.51e-05 (3.8%)
4.19382e+00 2.29715e-03 -1.62477e-03 1.72942e-02 -3.45770e-06 1.62557e-05 1.08928e-05 -1.92532e-06 -1.09028e-05 4.68122e-05 4.38682e-09 -4.44585e-09 -1.96144e-08 -1.02622e-08 4.17161e-08 1.29315e-08 4.05133e-09 -1.50641e-08 -1.68736e-08 4.47367e-08

#its2k_z2_q4
0 2 3 20
# precision: tgt 2.00e-03 max 1.52e-03 (75.9%) avg 1.15e-04 (5.8%)
7.14831e-01 -5.73907e-03 5.41772e-04 5.31885e-03 -5.51737e-06 -4.89873e-06 -3.20665e-05 1.91004e-06 1.72303e-06 1.37794e-05 -1.04453e-08 -7.60892e-11 -1.69000e-08 1.05298e-08 -1.38430e-08 -4.83495e-08 -1.38208e-09 5.80414e-09 7.81969e-10 1.22752e-08
# precision: tgt 2.00e-03 max 8.56e-04 (42.8%) avg 9.40e-05 (4.7%)
-4.18080e-01 -3.75226e-05 -6.57042e-03 -2.93757e-03 -1.65803e-06 -5.04781e-06 -6.66512e-07 -2.14176e-06 -3.59626e-05 -6.95426e-06 9.73352e-10 6.20259e-09 -4.39274e-09 4.57178e-09 -1.22887e-08 -1.51939e-09 -2.87819e-09 -3.91355e-09 -5.28666e-08 -5.51968e-09
# precision: tgt 2.00e-03 max 6.87e-04 (34.4%) avg 1.08e-04 (5.4%)
3.32447e+00 4.16782e-03 -3.67703e-04 1.09965e-02 -2.12010e-06 -1.25766e-05 2.58647e-05 -1.25726e-06 -4.80111e-06 3.15992e-05 -5.82012e-09 -1.30658e-08 -1.49441e-08 1.68739e-09 -3.35002e-08 3.83743e-08 2.86818e-09 -1.35948e-08 -9.43566e-09 3.24822e-08

#its2k_z20_q1
0 20 0 20
# precision: tgt 2.00e-03 max 1.61e-03 (80.6%) avg 2.12e-04 (10.6%)
4.49272e+00 8.53589e-03 4.47623e-03 -2.89365e-02 -3.13661e-06 -2.83542e-06 -4.57327e-05 -1.80503e-06 -1.85928e-05 6.20440e-05 3.60556e-09 2.03341e-08 1.84617e-09 2.19143e-09 1.67603e-09 6.58494e-08 5.77327e-09 2.16839e-09 1.94303e-08 -4.43142e-08
# precision: tgt 2.00e-03 max 2.85e-03 (142.7%) avg 3.64e-04 (18.2%)
3.43611e+00 -1.85825e-03 1.65459e-03 -2.09693e-02 2.05016e-06 2.22785e-06 7.07872e-06 -1.86944e-06 -1.73574e-05 4.26582e-05 -1.46623e-08 -2.56729e-08 2.02944e-10 1.96832e-08 -5.97698e-09 -6.93906e-09 -1.83264e-11 -6.07832e-10 3.67601e-08 -2.89352e-08
# precision: tgt 2.00e-03 max 4.93e-03 (246.3%) avg 6.81e-04 (34.0%)
9.04355e-01 4.01209e-03 6.18164e-03 3.89043e-03 -3.02600e-05 -6.27946e-06 -1.57502e-05 -3.15416e-05 -2.47701e-05 1.20362e-06 -2.85236e-08 -4.84923e-08 9.00226e-08 -4.53602e-08 2.55068e-08 1.44522e-08 -3.22108e-08 9.38199e-08 2.37037e-08 -1.20333e-08

#its2k_z20_q2
0 20 1 20
# precision: tgt 2.00e-03 max 1.39e-03 (69.4%) avg 2.42e-04 (12.1%)
-2.37060e+00 9.66245e-03 -7.81782e-04 1.53812e-02 5.54099e-06 1.21737e-06 -5.02585e-05 -2.81992e-07 3.65101e-06 -3.32609e-05 1.41158e-09 -1.92776e-08 -7.61511e-09 -4.87207e-09 -6.05807e-09 7.03128e-08 -3.43345e-09 1.54845e-09 -4.33991e-09 2.39517e-08
# precision: tgt 2.00e-03 max 1.55e-03 (77.4%) avg 2.31e-04 (11.5%)
3.92663e+00 -1.19487e-03 5.66031e-03 -2.47053e-02 1.62616e-06 -9.89279e-07 5.58214e-06 -2.53601e-06 -3.39854e-05 5.18413e-05 -5.96042e-09 -1.32328e-08 -4.86630e-09 -1.33688e-08 3.91679e-09 -6.57773e-09 -6.34896e-09 3.29097e-09 5.37314e-08 -3.62795e-08
# precision: tgt 2.00e-03 max 5.08e-03 (253.8%) avg 6.77e-04 (33.9%)
2.39048e-01 -4.32496e-03 4.55530e-03 8.25287e-03 -2.97060e-05 5.47176e-06 1.71452e-05 -3.01428e-05 -1.81916e-05 -8.30570e-06 2.99011e-08 -5.48563e-08 8.93031e-08 5.07760e-08 -2.58018e-08 -1.59778e-08 -3.13673e-08 9.05632e-08 1.70782e-08 -5.14086e-09

#its2k_z20_q3
0 20 2 20
# precision: tgt 2.00e-03 max 1.87e-03 (93.3%) avg 3.94e-04 (19.7%)
-3.99214e+00 8.54400e-03 4.40509e-03 2.51237e-02 3.06373e-06 -1.37810e-06 -4.59940e-05 1.07245e-06 -1.85577e-05 -5.27199e-05 -7.00666e-09 2.71413e-08 -4.05160e-09 -4.74194e-09 8.28675e-09 6.62663e-08 2.93716e-09 -1.82187e-09 1.95972e-08 3.68735e-08
# precision: tgt 2.00e-03 max 1.76e-03 (87.8%) avg 2.56e-04 (12.8%)
-2.17136e+00 -6.68841e-04 7.09796e-03 1.44380e-02 -8.53394e-07 5.26855e-07 2.55452e-06 1.17307e-06 -4.01609e-05 -3.18885e-05 4.68891e-09 -7.14503e-09 3.36633e-09 8.62413e-09 -2.11533e-10 -2.30398e-09 3.23966e-09 2.47831e-09 6.04880e-08 2.34077e-08
# precision: tgt 2.00e-03 max 5.00e-03 (249.8%) avg 6.78e-04 (33.9%)
1.29419e+00 -9.26015e-04 -6.47261e-03 1.41428e-03 -3.12682e-05 -5.30637e-06 2.67261e-06 -3.20861e-05 2.58509e-05 6.44009e-06 3.07554e-08 4.60270e-08 9.26221e-08 4.92616e-08 2.30312e-08 -6.74576e-10 3.00482e-08 9.44584e-08 -2.48860e-08 -1.57209e-08

#its2k_z20_q4
0 20 3 20
# precision: tgt 2.00e-03 max 2.27e-03 (113.5%) avg 3.45e-04 (17.2%)
4.84823e+00 7.51223e-03 3.17958e-04 -3.11624e-02 -6.90487e-07 2.07683e-06 -4.17017e-05 1.08246e-06 -1.01334e-06 6.66943e-05 1.79742e-09 -5.09040e-09 -2.27402e-09 4.32235e-09 -1.81494e-09 6.17666e-08 -4.69589e-09 -4.49535e-09 4.87136e-10 -4.75532e-08
# precision: tgt 2.00e-03 max 2.19e-03 (109.5%) avg 3.12e-04 (15.6%)
-2.89787e+00 -3.37067e-03 4.13779e-03 1.93153e-02 -1.16862e-06 -2.42428e-06 1.43108e-05 1.27673e-06 -2.76198e-05 -4.27460e-05 -9.82499e-09 -9.17644e-09 5.15012e-09 -1.40230e-08 3.83440e-09 -1.53310e-08 -5.90932e-09 2.84315e-10 4.71160e-08 3.14235e-08
# precision: tgt 2.00e-03 max 4.92e-03 (246.0%) avg 6.85e-04 (34.2%)
1.55254e+00 2.31253e-03 -1.54705e-03 -5.64194e-06 -2.85446e-05 6.42060e-06 -8.85960e-06 -3.11759e-05 5.27132e-06 8.99293e-06 -3.60498e-08 5.43101e-08 8.81839e-08 -4.51229e-08 -2.67417e-08 7.37960e-09 3.43393e-08 9.31440e-08 -3.39016e-09 -1.72122e-08

#its2k_z21_q1
0 21 0 20
# precision: tgt 2.00e-03 max 7.15e-03 (357.4%) avg 4.15e-04 (20.8%)
3.91853e+00 -1.08197e-03 2.08629e-04 -2.25431e-02 2.17416e-06 9.08663e-07 -1.07812e-05 -1.60752e-06 -1.20081e-06 4.32705e-05 -3.99263e-08 5.89364e-09 3.02158e-09 4.38818e-09 -3.53520e-09 3.35297e-08 4.21058e-09 1.79632e-09 1.67853e-09 -2.77297e-08
# precision: tgt 2.00e-03 max 2.76e-03 (138.0%) avg 2.35e-04 (11.7%)
3.73380e+00 5.33903e-03 4.63473e-03 -2.17408e-02 -2.03494e-06 -1.11233e-05 -2.05559e-05 -2.98754e-05 -2.82251e-05 4.21619e-05 -1.07824e-08 -1.40132e-08 6.51758e-09 -2.12097e-09 2.31057e-08 1.96088e-08 -5.03494e-10 5.75928e-08 4.62478e-08 -2.72262e-08
# precision: tgt 2.00e-03 max 6.94e-03 (346.8%) avg 5.36e-04 (26.8%)
4.23493e+00 -1.83334e-02 -1.52658e-02 -1.65154e-02 -5.01866e-05 -5.11216e-05 7.79633e-05 -5.16767e-05 6.59531e-05 4.27115e-05 7.24782e-08 5.96278e-08 1.03238e-07 5.56649e-08 8.97867e-08 -8.15364e-08 6.74696e-08 1.08118e-07 -6.99284e-08 -4.01234e-08

#its2k_z21_q2
0 21 1 20
# precision: tgt 2.00e-03 max 6.26e-03 (313.0%) avg 3.89e-04 (19.4%)
-4.93409e+00 -2.39531e-03 -1.74812e-03 2.83535e-02 1.18004e-06 -5.24464e-06 -5.02918e-06 4.03648e-06 6.56018e-06 -5.43757e-05 -2.87445e-08 -4.87735e-09 -7.35866e-09 -4.11621e-09 8.95343e-09 2.74230e-08 -6.72272e-09 -6.19365e-09 -6.30419e-09 3.47855e-08
# precision: tgt 2.00e-03 max 2.39e-03 (119.5%) avg 2.66e-04 (13.3%)
4.18237e+00 -4.08258e-03 6.50678e-03 -2.43626e-02 8.31855e-07 1.07036e-05 1.60428e-05 -3.27509e-05 -3.50209e-05 4.72621e-05 6.22689e-09 -1.80968e-08 -5.30168e-11 6.52583e-09 -2.27370e-08 -1.56576e-08 2.54427e-10 6.29254e-08 5.24130e-08 -3.05299e-08
# precision: tgt 2.00e-03 max 6.45e-03 (322.3%) avg 5.23e-04 (26.2%)
4.68103e+00 1.50273e-02 -1.24897e-02 -1.93640e-02 -5.37487e-05 4.85558e-05 -6.56401e-05 -5.03073e-05 5.51160e-05 4.87052e-05 -6.90531e-08 5.13525e-08 1.11081e-07 -4.26167e-08 -8.74723e-08 7.01172e-08 6.42345e-08 1.06298e-07 -5.94182e-08 -4.42851e-08

#its2k_z21_q3
0 21 2 20
# precision: tgt 2.00e-03 max 7.47e-03 (373.7%) avg 4.62e-04 (23.1%)
-5.41624e+00 -5.08616e-03 -1.01512e-03 3.06179e-02 -1.15133e-05 -1.92195e-05 2.68572e-06 -9.43814e-06 1.13082e-06 -5.78635e-05 -4.45473e-08 -3.46357e-08 1.29159e-08 -2.32848e-08 3.18726e-08 2.22462e-08 2.72442e-10 1.79577e-08 1.51610e-09 3.65446e-08
# precision: tgt 2.00e-03 max 6.25e-03 (312.6%) avg 3.94e-04 (19.7%)
-5.17922e+00 -2.81063e-03 -7.35047e-05 2.96576e-02 -1.14549e-05 -1.51257e-05 7.88609e-06 -1.62744e-07 -1.48714e-05 -5.67520e-05 -1.30026e-08 -2.25720e-08 1.90289e-08 -3.16717e-08 2.38781e-08 -4.96752e-09 -2.65564e-08 -4.63799e-09 3.77220e-08 3.62934e-08
# precision: tgt 2.00e-03 max 1.41e-02 (707.3%) avg 1.01e-03 (50.5%)
2.34007e+00 7.66366e-03 3.35597e-03 -6.92599e-03 -8.60576e-05 -1.05417e-04 -4.39686e-05 -1.06904e-04 -3.04116e-05 2.64976e-05 -9.03948e-08 -1.10080e-07 1.67422e-07 -1.15830e-07 1.83286e-07 5.52140e-08 -1.27638e-07 2.00490e-07 4.47084e-08 -3.09387e-08

#its2k_z21_q4
0 21 3 20
# precision: tgt 2.00e-03 max 6.62e-03 (330.9%) avg 4.51e-04 (22.6%)
4.27511e+00 -2.58122e-03 2.21213e-03 -2.43680e-02 1.48749e-05 -1.66250e-05 -7.42001e-06 9.26066e-06 -6.11783e-06 4.64434e-05 -4.37738e-08 3.44344e-08 -1.94959e-08 -1.99062e-08 2.77525e-08 3.24050e-08 2.71681e-09 -1.73296e-08 3.57051e-09 -2.96150e-08
# precision: tgt 2.00e-03 max 5.48e-03 (273.8%) avg 4.22e-04 (21.1%)
-5.24961e+00 1.03265e-03 -7.35766e-04 3.01372e-02 -1.05332e-05 6.58194e-06 -1.60137e-06 -5.20727e-06 -1.26435e-05 -5.78006e-05 1.17608e-08 -2.21709e-08 1.78769e-08 3.74179e-08 -6.65768e-09 -5.96636e-10 -3.10835e-08 4.00631e-09 3.58194e-08 3.70372e-08
# precision: tgt 2.00e-03 max 1.38e-02 (690.3%) avg 1.01e-03 (50.6%)
3.04608e+00 -6.36822e-03 4.44227e-03 -1.09037e-02 -8.69636e-05 1.06101e-04 3.89951e-05 -1.06413e-04 -3.44719e-05 3.39681e-05 9.24881e-08 -1.02835e-07 1.69221e-07 1.09997e-07 -1.86294e-07 -5.05254e-08 -1.20028e-07 2.01506e-07 4.86202e-08 -3.56149e-08

#its2k_z3_q1
0 3 0 20
# precision: tgt 2.00e-03 max 1.40e-03 (69.9%) avg 2.20e-04 (11.0%)
6.01239e-01 -3.27663e-03 -7.31363e-04 4.70078e-03 -2.14729e-06 1.23162e-06 -1.95722e-05 1.84488e-06 -3.18021e-06 1.27776e-05 -3.85617e-09 1.07157e-08 -5.48443e-09 -5.60248e-09 3.30363e-09 -3.22275e-08 -3.06729e-09 3.43463e-09 -3.47960e-09 1.18594e-08
# precision: tgt 2.00e-03 max 1.18e-03 (58.8%) avg 1.35e-04 (6.8%)
2.97762e-01 1.78539e-04 -4.41536e-03 2.31330e-03 4.80523e-07 -4.39218e-06 9.70389e-07 1.76546e-06 -2.53585e-05 5.92640e-06 3.99779e-09 1.42117e-09 2.75335e-09 3.07926e-09 -1.01095e-08 1.55784e-09 -6.45397e-09 1.98407e-09 -3.98962e-08 5.06315e-09
# precision: tgt 2.00e-03 max 5.45e-04 (27.3%) avg 8.42e-05 (4.2%)
2.61141e+00 3.12362e-03 1.81764e-03 5.64861e-03 -1.43880e-07 1.05671e-05 2.10291e-05 -1.77347e-06 1.16163e-05 1.82098e-05 4.12076e-09 -1.24145e-08 -8.75217e-09 -6.05268e-10 2.39919e-08 3.27025e-08 5.83990e-09 -1.21523e-08 1.76064e-08 2.12886e-08

#its2k_z3_q2
0 3 1 20
# precision: tgt 2.00e-03 max 1.23e-03 (61.7%) avg 1.64e-04 (8.2%)
-6.18627e-02 -5.86819e-03 1.02389e-04 -3.42051e-04 -3.81104e-06 -3.66830e-06 -3.38098e-05 1.18457e-06 8.99660e-07 4.06354e-08 -1.33271e-08 -5.36168e-09 -5.75497e-09 4.54599e-09 -7.78889e-09 -5.19971e-08 -3.05723e-09 1.55854e-09 1.39876e-09 1.15715e-09
# precision: tgt 2.00e-03 max 6.31e-04 (31.5%) avg 8.53e-05 (4.3%)
1.06558e-01 1.37977e-03 -5.13506e-03 8.04624e-04 9.79003e-08 3.36265e-07 7.54366e-06 6.63844e-07 -2.97039e-05 1.91431e-06 -1.66902e-09 1.19696e-09 1.13674e-09 -5.12726e-10 7.94510e-10 1.00986e-08 -5.13914e-09 -7.57468e-11 -4.62164e-08 1.47338e-09
# precision: tgt 2.00e-03 max 6.61e-04 (33.1%) avg 6.00e-05 (3.0%)
2.71974e+00 2.42583e-04 1.02039e-03 6.36944e-03 -8.10506e-07 -1.17654e-05 7.21034e-07 -5.73922e-07 7.88082e-06 1.97746e-05 -4.70578e-09 -9.71537e-09 -1.12932e-08 2.71596e-09 -2.60957e-08 3.60990e-10 3.94414e-09 -9.84989e-09 1.31958e-08 2.23863e-08

#its2k_z3_q3
0 3 2 20
# precision: tgt 2.00e-03 max 1.26e-03 (63.2%) avg 2.09e-04 (10.5%)
-2.02665e-01 -3.58835e-03 2.96518e-04 -1.59513e-03 -1.41973e-06 -8.14298e-08 -2.17751e-05 5.32143e-07 1.58606e-06 -3.65162e-06 -1.26501e-08 1.03478e-08 -3.95728e-10 -1.71450e-09 -1.43967e-09 -3.60818e-08 1.86421e-09 6.90686e-10 2.22939e-09 -2.44178e-09
# precision: tgt 2.00e-03 max 1.11e-03 (55.4%) avg 1.69e-04 (8.4%)
-2.17880e-01 -1.02493e-04 -3.58548e-03 -1.73123e-03 1.22681e-06 7.00289e-07 -9.84073e-07 -2.18197e-06 -2.13584e-05 -4.64347e-06 2.41129e-09 -4.06358e-09 2.86291e-09 1.46161e-08 -5.25112e-10 -1.73969e-09 -1.22011e-08 -2.25459e-09 -3.51002e-08 -4.15190e-09
# precision: tgt 2.00e-03 max 6.15e-04 (30.8%) avg 6.22e-05 (3.1%)
2.70388e+00 -3.50320e-04 -7.43653e-04 6.30289e-03 -8.11504e-07 1.19295e-05 -2.45304e-06 -4.79600e-07 -6.47975e-06 1.97641e-05 -4.89271e-09 7.97915e-09 -1.11733e-08 4.77420e-09 2.64745e-08 -3.88836e-09 -3.66783e-09 -1.01049e-08 -1.12860e-08 2.25296e-08

#its2k_z3_q4
0 3 3 20
# precision: tgt 2.00e-03 max 1.07e-03 (53.7%) avg 1.15e-04 (5.7%)
5.50410e-01 -2.67043e-03 -1.22954e-04 4.40261e-03 -3.04559e-06 -1.32781e-06 -1.65050e-05 1.13779e-06 -1.16993e-06 1.22666e-05 -2.28753e-09 -7.59960e-09 -7.93492e-09 -4.79244e-09 -3.78434e-09 -2.84142e-08 2.37383e-09 1.84750e-09 -2.09008e-09 1.16515e-08
# precision: tgt 2.00e-03 max 6.52e-04 (32.6%) avg 8.10e-05 (4.0%)
-3.19564e-01 -2.18397e-04 -2.96651e-03 -2.50760e-03 -1.17001e-06 -3.10110e-06 -1.66806e-06 4.53164e-07 -1.82970e-05 -6.64870e-06 -1.78292e-09 -4.16237e-09 -3.19016e-09 -4.79163e-09 -7.70382e-09 -2.84837e-09 -6.87255e-11 1.04753e-09 -3.10786e-08 -5.90583e-09
# precision: tgt 2.00e-03 max 5.63e-04 (28.1%) avg 9.42e-05 (4.7%)
2.66831e+00 3.26992e-03 -1.41715e-03 6.09082e-03 -1.15563e-07 -1.06643e-05 2.18191e-05 -1.94687e-06 -9.50159e-06 1.93542e-05 3.39694e-09 9.11713e-09 -8.72041e-09 -4.77718e-09 -2.40521e-08 3.37905e-08 -8.08542e-09 -1.25304e-08 -1.47131e-08 2.22759e-08

#its2k_z4_q1
0 4 0 20
# precision: tgt 2.00e-03 max 2.05e-03 (102.6%) avg 1.58e-04 (7.9%)
2.89749e+00 9.52513e-04 -9.89612e-04 2.73594e-02 1.10424e-06 -1.28454e-06 5.36302e-06 1.10206e-07 -6.29372e-06 8.60438e-05 2.31486e-09 -3.06592e-10 4.69493e-09 -6.60188e-11 -4.51045e-09 4.47737e-09 7.09253e-10 5.43023e-10 -1.00024e-08 8.97822e-08
# precision: tgt 2.00e-03 max 1.44e-03 (71.9%) avg 9.77e-05 (4.9%)
-5.52353e-01 3.23283e-04 -1.20902e-03 -5.20348e-03 -3.27761e-07 1.99373e-06 1.98132e-06 -9.62737e-07 -8.19385e-06 -1.64085e-05 -7.11567e-10 5.69548e-09 -1.00745e-09 -2.25155e-09 7.67194e-09 3.09096e-09 -1.71602e-10 -3.78668e-09 -1.68582e-08 -1.72202e-08
# precision: tgt 2.00e-03 max 1.56e-03 (78.1%) avg 2.37e-04 (11.9%)
1.31764e+00 3.39545e-03 3.03805e-03 -6.12210e-03 -9.73654e-06 -8.24678e-06 1.92202e-05 -1.47218e-05 1.58764e-05 -1.72535e-05 4.49656e-09 -1.06835e-08 -3.40527e-08 4.83494e-09 -2.63609e-08 2.58232e-08 -3.09681e-10 -4.90061e-08 2.01885e-08 -1.40937e-08

#its2k_z4_q2
0 4 1 20
# precision: tgt 2.00e-03 max 1.30e-03 (65.1%) avg 1.19e-04 (5.9%)
2.25379e+00 -1.26104e-03 4.37751e-04 2.12268e-02 4.60828e-07 9.55665e-07 -8.38008e-06 4.40341e-07 2.73642e-06 6.65891e-05 -4.76820e-09 3.18115e-10 3.79467e-09 4.30514e-09 4.28390e-09 -1.67258e-08 -2.86391e-09 -3.56471e-10 3.98847e-09 6.92253e-08
# precision: tgt 2.00e-03 max 7.21e-04 (36.1%) avg 9.92e-05 (5.0%)
3.86092e-01 8.72513e-04 -1.63944e-03 3.50501e-03 -1.22712e-07 -1.14111e-06 5.33195e-06 -3.81924e-07 -1.06608e-05 1.05197e-05 2.33828e-09 3.01017e-09 -8.99800e-10 2.32682e-09 -3.27910e-09 8.07536e-09 -7.88767e-10 -1.64330e-09 -2.02126e-08 1.05374e-08
# precision: tgt 2.00e-03 max 1.95e-03 (97.7%) avg 2.72e-04 (13.6%)
3.27282e+00 -2.73302e-03 3.84802e-03 1.21602e-02 -1.49651e-05 1.13992e-05 -1.40698e-05 -1.46287e-05 2.08179e-05 3.96239e-05 -2.24099e-09 -2.52049e-09 -4.90179e-08 -5.53184e-10 3.52129e-08 -1.84854e-08 3.16495e-10 -4.89324e-08 2.76232e-08 4.47763e-08

#its2k_z4_q3
0 4 2 20
# precision: tgt 2.00e-03 max 1.41e-03 (70.3%) avg 1.69e-04 (8.4%)
2.48563e+00 -7.44223e-04 1.20018e-04 2.33687e-02 -6.17356e-07 4.00747e-07 -5.04313e-06 8.43949e-07 4.95616e-07 7.31746e-05 -7.07799e-09 2.27839e-09 1.06132e-09 3.38571e-09 -2.40502e-10 -1.14072e-08 3.18727e-09 8.55111e-10 6.66644e-10 7.59654e-08
# precision: tgt 2.00e-03 max 1.24e-03 (62.0%) avg 1.59e-04 (8.0%)
-6.32618e-01 -1.01430e-03 -1.16278e-03 -5.88310e-03 -2.87551e-07 7.57870e-07 -6.21630e-06 -8.25705e-07 -7.61534e-06 -1.83005e-05 -3.05778e-11 3.49953e-10 -1.00249e-09 2.86562e-09 1.66500e-09 -9.36643e-09 -4.97300e-09 -6.65708e-10 -1.54325e-08 -1.89543e-08
# precision: tgt 2.00e-03 max 1.94e-03 (97.2%) avg 2.71e-04 (13.5%)
3.26499e+00 -3.28424e-03 -3.76299e-03 1.21604e-02 -1.60015e-05 -1.01247e-05 -1.72742e-05 -1.34519e-05 -2.08067e-05 3.98515e-05 -2.03433e-09 3.89060e-09 -5.23090e-08 2.46221e-09 -3.23315e-08 -2.30938e-08 -1.02322e-09 -4.55860e-08 -2.81772e-08 4.52431e-08

#its2k_z4_q4
0 4 3 20
# precision: tgt 2.00e-03 max 1.13e-03 (56.5%) avg 1.31e-04 (6.6%)
2.50284e+00 6.99983e-04 1.03674e-03 2.36341e-02 3.01537e-07 3.26189e-07 3.67479e-06 1.36611e-07 6.45863e-06 7.43385e-05 3.07304e-09 2.63871e-09 2.39021e-09 -1.65953e-09 2.31366e-09 1.68307e-09 1.43784e-09 -3.86931e-10 1.01902e-08 7.75405e-08
# precision: tgt 2.00e-03 max 8.99e-04 (44.9%) avg 7.36e-05 (3.7%)
-3.30145e-02 6.16416e-04 7.40224e-05 -3.82482e-04 1.31021e-07 1.72675e-07 3.94270e-06 -2.11490e-07 -7.20232e-08 -1.49347e-06 -4.90968e-10 1.32990e-09 4.96943e-10 -6.59141e-10 2.02881e-09 6.32459e-09 8.22255e-10 -5.99298e-10 -3.86748e-09 -1.84132e-09
# precision: tgt 2.00e-03 max 1.88e-03 (93.9%) avg 2.11e-04 (10.6%)
1.04078e+00 4.54204e-03 -3.06214e-03 -8.51580e-03 -8.63674e-06 4.51781e-06 2.66144e-05 -9.72407e-06 -1.74807e-05 -2.40720e-05 2.95653e-09 9.02133e-09 -3.12065e-08 2.64948e-09 1.54024e-08 3.76440e-08 -2.80972e-09 -3.32967e-08 -2.47194e-08 -2.04816e-08

#its2k_z5_q1
0 5 0 20
# precision: tgt 2.00e-03 max 7.39e-04 (36.9%) avg 1.39e-04 (7.0%)
1.98872e-01 -8.02636e-04 2.54060e-04 2.06516e-03 -1.14448e-06 9.75830e-07 -6.44269e-06 9.96472e-08 2.24971e-06 7.13602e-06 -3.05695e-10 4.04234e-09 -3.41893e-09 -1.74869e-09 3.61958e-09 -1.55081e-08 -4.85948e-10 -1.46120e-10 4.66106e-09 7.85407e-09
# precision: tgt 2.00e-03 max 1.04e-03 (52.2%) avg 1.37e-04 (6.8%)
-5.47745e-02 -3.34019e-04 -4.18192e-05 -5.07254e-04 2.48460e-07 -7.79448e-07 -2.30077e-06 3.30858e-07 -4.19942e-07 -1.60321e-06 -1.15062e-10 -4.36897e-10 6.19441e-10 2.35917e-09 -1.93774e-09 -3.96534e-09 -7.48428e-10 7.66889e-10 -3.86135e-09 -1.62000e-09
# precision: tgt 2.00e-03 max 8.81e-04 (44.0%) avg 1.09e-04 (5.4%)
1.93547e+00 4.72828e-04 4.16405e-04 -9.87962e-04 -5.28464e-06 -9.22045e-07 2.18513e-06 5.81489e-07 3.34118e-06 -3.21943e-06 2.14658e-09 -2.18450e-09 -2.02722e-08 5.83004e-09 -6.24878e-10 1.29397e-09 -4.83822e-09 -1.34419e-10 7.26492e-09 -1.49641e-09

#its2k_z5_q2
0 5 1 20
# precision: tgt 2.00e-03 max 7.02e-04 (35.1%) avg 9.71e-05 (4.9%)
-1.61505e-01 -1.65415e-04 1.19431e-04 -1.80781e-03 -1.02188e-06 -6.79252e-07 -8.95054e-07 6.08508e-08 9.82748e-07 -6.68603e-06 -4.77645e-09 -1.37018e-09 -1.40562e-09 2.98327e-09 -1.12266e-09 -3.86652e-09 -1.41130e-09 -9.27531e-10 1.76759e-09 -8.53838e-09
# precision: tgt 2.00e-03 max 3.86e-04 (19.3%) avg 5.14e-05 (2.6%)
7.74698e-02 3.54335e-05 -3.27669e-04 8.56630e-04 3.62406e-07 3.60088e-07 1.72101e-07 -9.86633e-09 -2.39385e-06 3.05738e-06 2.27351e-09 5.52224e-10 3.52081e-10 -1.08761e-09 1.22397e-09 1.99315e-10 -1.06759e-09 -3.04510e-10 -7.16613e-09 3.66409e-09
# precision: tgt 2.00e-03 max 3.54e-04 (17.7%) avg 3.94e-05 (2.0%)
2.05580e+00 -5.03535e-04 2.89231e-04 2.59014e-04 -3.97400e-07 4.48055e-07 -3.77556e-06 2.55936e-07 2.20236e-06 1.07139e-06 1.74919e-09 3.29300e-09 -2.62130e-09 -5.19030e-09 -2.52442e-09 -8.57564e-09 -2.94262e-09 -7.80033e-10 4.84027e-09 3.40623e-09

#its2k_z5_q3
0 5 2 20
# precision: tgt 2.00e-03 max 7.14e-04 (35.7%) avg 1.13e-04 (5.7%)
-1.50161e-01 1.24075e-05 -2.42697e-04 -1.69225e-03 2.95189e-07 -6.72842e-07 1.73088e-07 -8.32382e-08 -1.70887e-06 -6.29930e-06 -4.56756e-09 3.64487e-09 2.76106e-09 -1.21440e-09 -2.69885e-09 -2.28131e-09 2.19946e-09 -1.52564e-09 -2.82335e-09 -8.10987e-09
# precision: tgt 2.00e-03 max 9.16e-04 (45.8%) avg 1.32e-04 (6.6%)
-1.16830e-01 -9.69494e-05 -3.32485e-04 -1.24516e-03 -4.26752e-08 -2.39709e-07 -6.51633e-07 -5.33935e-07 -2.21827e-06 -4.51469e-06 -6.70166e-11 -3.16844e-09 3.21227e-10 1.12396e-08 -3.33936e-09 -9.86765e-10 -9.01008e-09 1.52642e-09 -6.70732e-09 -5.43574e-09
# precision: tgt 2.00e-03 max 6.91e-04 (34.5%) avg 7.37e-05 (3.7%)
2.01449e+00 -6.98182e-04 -2.68382e-04 -1.64027e-04 6.54543e-07 -3.74001e-07 -5.55891e-06 -2.15320e-06 -1.65237e-06 -3.53426e-07 1.03817e-09 -1.32359e-09 1.57494e-09 -4.57589e-10 9.94154e-10 -1.24885e-08 5.84656e-10 -9.31972e-09 -2.83133e-09 1.82918e-09

#its2k_z5_q4
0 5 3 20
# precision: tgt 2.00e-03 max 5.58e-04 (27.9%) avg 5.44e-05 (2.7%)
-2.99454e-02 -6.17472e-04 1.06420e-04 -4.14740e-04 1.04002e-07 -2.13655e-07 -4.59368e-06 -1.08059e-08 7.49669e-07 -1.77924e-06 1.26875e-09 1.85937e-09 1.03258e-09 7.91765e-10 -2.79378e-10 -1.13647e-08 1.59966e-09 -7.75457e-10 1.42213e-09 -2.78174e-09
# precision: tgt 2.00e-03 max 5.41e-04 (27.1%) avg 6.41e-05 (3.2%)
-2.32132e-01 3.76272e-04 -2.97736e-04 -2.52437e-03 1.67162e-07 9.32270e-07 2.73522e-06 1.11841e-07 -2.17072e-06 -9.22183e-06 9.20932e-10 1.34513e-09 1.09483e-09 -1.23386e-09 4.59969e-09 5.01239e-09 -3.48475e-10 6.99848e-10 -6.76146e-09 -1.11758e-08
# precision: tgt 2.00e-03 max 7.02e-04 (35.1%) avg 1.16e-04 (5.8%)
1.84664e+00 1.04063e-03 -1.14875e-03 -1.82361e-03 -6.05603e-06 3.79570e-06 6.05324e-06 -5.44680e-06 -7.19608e-06 -5.82029e-06 -5.70579e-10 4.61274e-11 -2.42328e-08 2.42475e-09 1.19659e-08 7.68811e-09 2.78992e-10 -2.14445e-08 -1.12780e-08 -4.18558e-09

#its2k_z6_q1
0 6 0 20
# precision: tgt 2.00e-03 max 2.11e-04 (10.6%) avg 3.32e-05 (1.7%)
2.81135e-03 -4.74927e-05 2.18034e-05 3.29793e-05 -6.69918e-08 -2.46738e-07 -7.46680e-08 2.59654e-07 3.01527e-07 2.40828e-07 1.37156e-09 -1.18202e-09 5.45024e-10 4.93683e-10 -1.70040e-09 -2.22712e-09 5.86566e-10 1.57655e-09 9.49425e-10 2.60420e-10
# precision: tgt 2.00e-03 max 4.13e-04 (20.7%) avg 4.86e-05 (2.4%)
1.15815e-03 2.66414e-05 -8.05245e-05 3.19724e-05 -3.60438e-07 2.08321e-08 7.91779e-08 3.57927e-07 -1.27349e-07 1.06245e-07 1.73994e-09 3.61117e-09 -8.96158e-11 -1.44459e-09 1.39374e-09 2.95746e-10 -3.35902e-09 -1.18614e-09 -2.38938e-09 1.78903e-10
# precision: tgt 2.00e-03 max 2.81e-04 (14.0%) avg 1.85e-05 (0.9%)
2.04744e+00 -6.77138e-06 6.87077e-05 5.90676e-05 9.27336e-08 7.14031e-07 2.52971e-07 -1.75165e-07 6.31350e-07 -1.06253e-07 -1.56273e-09 -6.41433e-10 -2.50781e-09 3.04495e-09 4.65225e-09 6.22327e-10 1.57492e-10 -2.04543e-09 2.08105e-09 1.37076e-09

#its2k_z6_q2
0 6 1 20
# precision: tgt 2.00e-03 max 5.47e-04 (27.3%) avg 3.66e-05 (1.8%)
-4.32147e-03 -4.82692e-05 2.54286e-07 -6.81283e-05 5.65488e-08 -2.20756e-08 3.05554e-10 -2.11812e-07 -1.05253e-07 -2.62810e-07 -2.28346e-09 3.54216e-09 3.04570e-09 5.23416e-09 5.57596e-10 -2.22654e-09 -1.55639e-09 -2.67196e-09 -9.52006e-10 -6.28478e-10
# precision: tgt 2.00e-03 max 4.41e-04 (22.0%) avg 6.02e-05 (3.0%)
3.50693e-03 -2.09521e-05 -7.44907e-05 6.70817e-05 -3.16292e-07 -7.64046e-08 -1.20134e-07 1.07678e-07 -1.22612e-07 2.82111e-07 1.60351e-10 7.51774e-09 -7.09080e-10 3.99275e-09 -1.27143e-09 -3.96433e-10 -1.93715e-09 -1.56400e-09 -2.30517e-09 4.79471e-10
# precision: tgt 2.00e-03 max 5.24e-04 (26.2%) avg 2.75e-05 (1.4%)
2.04449e+00 -6.57220e-05 5.48325e-05 1.95729e-05 9.58460e-08 -5.68855e-07 -6.78876e-07 -1.16706e-07 4.89327e-07 -2.94676e-07 -1.10193e-10 2.21162e-10 -8.44394e-10 -3.20221e-10 -3.41845e-09 -2.94871e-09 9.22570e-11 -2.23912e-09 1.52272e-09 1.03561e-09

#its2k_z6_q3
0 6 2 20
# precision: tgt 2.00e-03 max 5.08e-04 (25.4%) avg 2.61e-05 (1.3%)
-3.41295e-03 -5.83449e-05 2.51984e-05 -5.53388e-05 3.31148e-07 -2.61086e-07 -1.63444e-07 3.96977e-08 2.96289e-07 -2.04340e-07 -1.76616e-09 -1.45100e-09 3.66113e-09 2.65745e-09 -1.80211e-09 -2.65444e-09 2.34744e-09 -1.56777e-09 1.27668e-09 -5.38015e-10
# precision: tgt 2.00e-03 max 4.28e-04 (21.4%) avg 5.16e-05 (2.6%)
-4.66786e-03 1.30366e-05 -5.91944e-05 -5.20763e-05 8.85645e-08 -3.97791e-08 1.31338e-07 4.41657e-08 -9.39868e-08 -3.12101e-07 -2.39332e-10 4.82515e-09 1.43653e-10 -1.38827e-09 -1.43521e-09 5.42785e-10 -2.28107e-09 2.23450e-09 -2.28924e-09 -5.68917e-10
# precision: tgt 2.00e-03 max 4.28e-04 (21.4%) avg 2.61e-05 (1.3%)
2.04660e+00 -5.73595e-05 -2.61023e-05 4.55051e-05 1.24684e-07 6.60030e-07 -6.20464e-07 -1.84645e-07 -4.33559e-07 -1.85534e-07 5.12107e-11 -3.16719e-10 -7.74446e-10 -2.03884e-10 3.66518e-09 -2.84383e-09 -2.26784e-10 -2.35753e-09 -1.55628e-09 1.19468e-09

#its2k_z6_q4
0 6 3 20
# precision: tgt 2.00e-03 max 3.53e-04 (17.7%) avg 2.48e-05 (1.2%)
1.62829e-03 -3.08920e-05 4.56110e-06 1.96955e-05 -1.36333e-07 4.37882e-09 8.78822e-08 2.38172e-07 -1.03495e-07 2.01735e-07 1.62550e-09 1.35114e-09 4.32050e-10 -1.14271e-09 9.33192e-10 -1.78600e-09 3.97719e-10 6.11352e-10 -3.51289e-10 2.42436e-10
# precision: tgt 2.00e-03 max 3.51e-04 (17.5%) avg 2.73e-05 (1.4%)
-3.48922e-03 -5.12093e-06 -5.58883e-05 -3.60266e-05 -2.44760e-08 8.33387e-08 -9.37915e-08 1.16287e-07 -1.35848e-07 -2.16220e-07 -8.68139e-10 1.69302e-09 -7.09560e-10 1.84872e-09 9.15523e-10 -4.06669e-10 4.63605e-10 7.94730e-10 -2.32503e-09 -3.54489e-10
# precision: tgt 2.00e-03 max 2.53e-04 (12.7%) avg 2.32e-05 (1.2%)
2.04822e+00 -1.48393e-06 -2.78420e-05 7.10483e-05 1.07460e-07 -6.61441e-07 2.70083e-07 -8.85281e-09 -5.14116e-07 -5.41956e-08 -1.15572e-09 2.72354e-10 -2.09523e-09 2.13054e-09 -4.24941e-09 6.68923e-10 -1.80465e-12 -1.49358e-09 -2.00947e-09 1.43745e-09

#its2k_z7_q1
0 7 0 20
# precision: tgt 2.00e-03 max 1.40e-04 (7.0%) avg 1.93e-05 (1.0%)
6.70011e-04 -2.43663e-05 1.79801e-05 5.06865e-06 3.01067e-08 -1.13133e-07 2.11311e-07 -6.10848e-08 1.70071e-07 1.20590e-07 1.12404e-09 -3.91728e-11 1.03296e-09 -8.29538e-11 -8.46587e-10 -1.35475e-09 3.21791e-10 -2.49417e-10 3.57744e-10 8.93465e-11
# precision: tgt 2.00e-03 max 3.51e-04 (17.6%) avg 3.36e-05 (1.7%)
6.07749e-04 1.26392e-05 -3.33403e-05 2.83957e-05 -2.36172e-07 -4.93528e-08 -2.77071e-08 2.92905e-07 3.05619e-07 1.10926e-07 1.33289e-09 2.69070e-09 1.77648e-10 -1.11066e-09 8.67928e-10 4.07078e-11 -2.80552e-09 -1.13067e-09 -1.34370e-09 2.23090e-10
# precision: tgt 2.00e-03 max 2.57e-04 (12.8%) avg 2.44e-05 (1.2%)
2.04549e+00 -1.39335e-05 2.73297e-05 2.27463e-05 1.62812e-07 5.85934e-07 1.91819e-07 -4.42672e-08 2.49125e-07 -3.22032e-07 3.90631e-10 -2.28142e-09 -1.24782e-09 6.32175e-10 2.67026e-09 5.46841e-10 1.18961e-09 -1.09575e-09 1.15603e-09 9.51810e-10

#its2k_z7_q2
0 7 1 20
# precision: tgt 2.00e-03 max 2.81e-04 (14.1%) avg 2.82e-05 (1.4%)
-1.20345e-03 -1.85638e-05 3.22538e-06 -2.82963e-05 1.30922e-07 1.10759e-07 3.01739e-07 -1.33198e-07 -5.28152e-08 -9.69525e-08 4.08931e-10 2.44866e-09 1.74355e-09 2.68749e-09 7.38045e-10 -1.22446e-09 1.33363e-10 -1.01427e-09 -5.29299e-10 -4.04888e-10
# precision: tgt 2.00e-03 max 2.81e-04 (14.0%) avg 4.29e-05 (2.1%)
7.22471e-05 -6.92010e-06 -3.34526e-05 1.89903e-05 -1.80417e-07 2.10615e-08 -2.29216e-08 1.07679e-07 2.78104e-07 5.92500e-08 -3.14608e-10 5.73201e-09 4.83242e-12 4.47442e-09 -3.23186e-11 -2.08674e-10 -2.77281e-11 -5.41747e-10 -1.21629e-09 1.38283e-10
# precision: tgt 2.00e-03 max 1.97e-04 (9.8%) avg 2.32e-05 (1.2%)
2.04472e+00 -3.23542e-05 2.56716e-05 1.15483e-05 1.09947e-07 -4.82332e-07 -3.43977e-07 -2.02405e-08 2.26803e-07 -3.90367e-07 -8.18828e-10 -1.85568e-09 -6.27665e-10 3.81794e-10 -2.08307e-09 -2.06430e-09 1.18757e-09 -1.20079e-09 9.72395e-10 7.84541e-10

#its2k_z7_q3
0 7 2 20
# precision: tgt 2.00e-03 max 2.36e-04 (11.8%) avg 2.16e-05 (1.1%)
-1.43028e-03 -2.82558e-05 1.19960e-05 -2.95638e-05 1.95338e-07 -2.29406e-07 1.93476e-07 1.40846e-07 1.06742e-07 -9.30774e-08 1.13234e-09 -1.43171e-09 1.36050e-09 2.74133e-10 -8.69180e-10 -1.42253e-09 1.44774e-09 -2.83858e-10 4.86832e-10 -3.77777e-10
# precision: tgt 2.00e-03 max 2.56e-04 (12.8%) avg 3.81e-05 (1.9%)
-1.43257e-03 -8.84911e-07 -2.88384e-05 -8.97546e-06 -6.24573e-08 1.40910e-07 2.01180e-08 -9.88236e-08 2.40751e-07 -1.24410e-07 -1.56588e-10 3.09835e-09 -4.15122e-10 -9.83638e-10 -9.50453e-11 2.61327e-10 -7.95727e-10 6.32952e-10 -1.26052e-09 -3.03832e-10
# precision: tgt 2.00e-03 max 2.29e-04 (11.4%) avg 2.47e-05 (1.2%)
2.04480e+00 -2.87762e-05 -5.68317e-06 1.23800e-05 1.34446e-07 5.14208e-07 -3.13896e-07 -4.83679e-08 -2.59178e-07 -3.84203e-07 -4.88538e-10 1.20164e-09 -5.92386e-10 8.41396e-10 2.09739e-09 -1.99071e-09 -1.41043e-09 -1.12302e-09 -1.22722e-09 8.02513e-10

#its2k_z7_q4
0 7 3 20
# precision: tgt 2.00e-03 max 1.41e-04 (7.1%) avg 1.84e-05 (0.9%)
1.05863e-03 -1.52603e-05 1.15677e-07 1.39820e-05 -2.69562e-08 4.82549e-08 2.76575e-07 3.34805e-08 -7.52523e-08 1.86062e-07 1.31963e-09 1.87539e-10 9.46080e-10 -1.36223e-09 8.34580e-10 -1.21161e-09 1.66407e-10 -3.16644e-10 -1.26658e-10 2.37782e-10
# precision: tgt 2.00e-03 max 2.19e-04 (10.9%) avg 2.14e-05 (1.1%)
-1.17555e-03 5.79483e-06 -1.66631e-05 -7.26467e-06 -1.35205e-07 -3.40122e-08 -5.30501e-09 1.12543e-07 2.41077e-07 -1.01479e-07 6.07841e-10 1.49015e-09 -3.93206e-10 3.99775e-10 7.52155e-10 -1.25409e-10 3.72973e-10 6.35086e-10 -1.36095e-09 -2.10004e-10
# precision: tgt 2.00e-03 max 2.47e-04 (12.4%) avg 2.62e-05 (1.3%)
2.04561e+00 -7.44779e-06 -3.61220e-07 2.77286e-05 1.80478e-07 -4.69318e-07 2.12152e-07 1.23439e-07 -2.59588e-07 -2.92835e-07 -2.41595e-11 9.41963e-10 -1.15954e-09 2.20847e-10 -2.45119e-09 5.66709e-10 -5.05012e-10 -7.82105e-10 -1.37199e-09 9.99103e-10

#its2k_z8_q1
0 8 0 20
# precision: tgt 2.00e-03 max 1.52e-04 (7.6%) avg 1.94e-05 (1.0%)
4.07929e-05 -1.12804e-05 1.35293e-05 -6.10970e-06 4.58346e-08 1.28616e-08 4.15282e-07 -1.93798e-07 7.27927e-08 5.55956e-08 6.78627e-10 -8.61131e-10 6.44313e-10 4.83734e-10 -1.04809e-10 -6.95957e-10 6.25803e-10 -7.69388e-10 -6.45376e-12 -3.41350e-11
# precision: tgt 2.00e-03 max 2.92e-04 (14.6%) avg 3.16e-05 (1.6%)
-5.05578e-05 3.67138e-06 -1.83784e-05 1.74703e-05 -9.66593e-08 -8.87843e-08 -9.34822e-08 2.77188e-07 4.88600e-07 5.40052e-08 7.55980e-10 2.19207e-09 5.83670e-10 -1.04709e-09 4.17777e-10 -1.26773e-10 -2.22525e-09 -7.79119e-10 -7.04847e-10 1.32029e-10
# precision: tgt 2.00e-03 max 2.20e-04 (11.0%) avg 2.92e-05 (1.5%)
2.04511e+00 -1.60345e-05 1.14405e-05 1.17929e-05 2.05189e-07 4.33010e-07 1.52700e-07 8.22160e-08 6.54534e-08 -4.19213e-07 1.17321e-09 -2.97979e-09 -4.84150e-10 -8.63537e-11 1.05528e-09 4.29684e-10 1.38088e-09 -2.12151e-10 5.98767e-10 6.77394e-10

#its2k_z8_q2
0 8 1 20
# precision: tgt 2.00e-03 max 1.88e-04 (9.4%) avg 3.39e-05 (1.7%)
-4.43152e-04 -6.62911e-06 6.57560e-06 -1.47907e-05 1.95189e-07 1.71515e-07 4.49465e-07 -9.92028e-08 1.89832e-09 -1.74060e-08 2.12354e-09 2.72873e-09 9.28017e-10 1.69528e-09 5.60650e-10 -5.70054e-10 7.11352e-10 -2.20672e-10 -1.49171e-10 -2.48726e-10
# precision: tgt 2.00e-03 max 2.70e-04 (13.5%) avg 4.05e-05 (2.0%)
-8.53636e-05 7.33170e-07 -1.53275e-05 1.55497e-05 -7.08146e-08 5.49578e-08 2.77992e-08 7.07486e-08 5.03751e-07 3.87266e-08 -3.79800e-11 5.00790e-09 3.82281e-10 4.10522e-09 3.45689e-10 -1.12284e-10 6.46149e-10 -2.20328e-10 -4.05042e-10 1.07930e-10
# precision: tgt 2.00e-03 max 2.06e-04 (10.3%) avg 3.03e-05 (1.5%)
2.04470e+00 -1.48279e-05 1.26730e-05 4.43452e-06 1.64567e-07 -4.02919e-07 -1.22584e-07 6.30519e-08 7.64097e-08 -4.81693e-07 -9.40045e-10 -2.49703e-09 -2.69916e-10 7.17411e-10 -1.14472e-09 -1.33036e-09 1.54782e-09 -4.18912e-10 5.62915e-10 4.83649e-10

#its2k_z8_q3
0 8 2 20
# precision: tgt 2.00e-03 max 2.31e-04 (11.5%) avg 2.63e-05 (1.3%)
-6.93934e-04 -1.57086e-05 4.27657e-06 -1.65377e-05 1.36248e-07 -2.65057e-07 3.98823e-07 1.50121e-07 3.05873e-10 -1.94936e-08 2.06703e-09 -2.01819e-09 3.87698e-10 -3.71114e-10 -5.63796e-10 -5.49561e-10 1.23815e-09 2.15134e-11 2.79289e-11 -2.44431e-10
# precision: tgt 2.00e-03 max 2.39e-04 (12.0%) avg 3.96e-05 (2.0%)
-5.62541e-04 -8.20493e-07 -1.71761e-05 5.69934e-06 -1.29834e-07 2.42941e-07 3.58021e-08 -1.56207e-07 4.06558e-07 -4.58920e-08 -7.97159e-10 3.12132e-09 -3.56928e-10 -2.41596e-10 2.36096e-10 2.83287e-10 -5.79911e-10 -3.31710e-11 -5.79818e-10 -1.77313e-10
# precision: tgt 2.00e-03 max 1.93e-04 (9.7%) avg 2.21e-05 (1.1%)
2.04489e+00 -1.10452e-05 6.83141e-06 8.42185e-06 2.02586e-07 3.78534e-07 -8.42157e-08 7.10858e-08 -1.23226e-07 -4.47636e-07 -6.36912e-10 1.96362e-09 -1.59683e-10 9.79533e-10 8.00805e-10 -1.19736e-09 -1.52116e-09 -2.66453e-10 -8.57583e-10 5.75907e-10

#its2k_z8_q4
0 8 3 20
# precision: tgt 2.00e-03 max 1.76e-04 (8.8%) avg 1.93e-05 (1.0%)
2.38110e-04 -3.67839e-06 8.67141e-07 2.12807e-07 -5.63614e-08 -2.79656e-08 4.26655e-07 -7.33888e-08 -3.73479e-08 1.09874e-07 9.70034e-10 1.02641e-10 4.83542e-10 -1.27686e-09 2.57174e-10 -7.75625e-10 -5.35595e-10 -4.88063e-10 -1.98963e-11 1.01509e-10
# precision: tgt 2.00e-03 max 9.60e-05 (4.8%) avg 1.54e-05 (0.8%)
-4.77077e-04 7.66082e-06 -4.69362e-06 3.69934e-06 -1.72307e-07 -9.03884e-08 1.36757e-08 6.32392e-08 4.06897e-07 -4.78396e-08 1.12657e-09 8.36089e-10 -1.20450e-10 -4.80267e-10 4.78082e-10 3.14029e-11 2.10075e-10 2.60470e-10 -7.50531e-10 -1.29898e-10
# precision: tgt 2.00e-03 max 2.07e-04 (10.3%) avg 2.80e-05 (1.4%)
2.04526e+00 -1.36464e-05 1.45023e-05 1.65158e-05 2.12725e-07 -3.32886e-07 1.20184e-07 2.22497e-07 -8.33571e-08 -3.95867e-07 4.99213e-10 1.16658e-09 -5.81332e-10 -6.42467e-10 -1.07298e-09 2.64028e-10 -5.31947e-10 -2.48904e-10 -7.83461e-10 7.01441e-10

#its2k_z9_q1
0 9 0 20
# precision: tgt 2.00e-03 max 2.04e-04 (10.2%) avg 2.41e-05 (1.2%)
3.43232e-05 -3.41911e-06 4.37370e-06 -7.81338e-06 -1.60634e-08 1.03497e-07 5.49039e-07 -1.64151e-07 -6.18099e-08 2.71887e-08 4.75955e-10 -1.47477e-09 -3.86539e-10 6.07014e-10 4.76521e-10 -3.37950e-10 7.57942e-10 -2.52982e-10 -3.92526e-10 -1.69912e-10
# precision: tgt 2.00e-03 max 2.94e-04 (14.7%) avg 2.84e-05 (1.4%)
-3.46737e-04 1.65054e-06 -1.22134e-05 1.07248e-05 2.27965e-09 -1.60285e-07 -9.75897e-08 2.39214e-07 5.65234e-07 -6.83054e-10 -1.53808e-11 2.19560e-09 7.05686e-10 -6.80932e-10 -3.51339e-11 -1.91883e-10 -1.64319e-09 -4.19139e-10 -2.88558e-10 -2.94774e-11
# precision: tgt 2.00e-03 max 1.73e-04 (8.7%) avg 2.19e-05 (1.1%)
2.04503e+00 -1.93722e-05 3.83837e-06 6.82451e-06 2.38199e-07 3.23100e-07 7.68994e-08 2.01097e-07 -3.57084e-08 -4.94463e-07 1.17241e-09 -2.73016e-09 -1.08404e-10 -1.91844e-10 8.72990e-11 3.63688e-11 9.16815e-10 4.05155e-10 1.79834e-10 3.33522e-10

#its2k_z9_q2
0 9 1 20
# precision: tgt 2.00e-03 max 1.73e-04 (8.6%) avg 3.51e-05 (1.8%)
-3.27808e-04 -6.18914e-06 7.73887e-06 -1.20337e-05 1.71104e-07 1.46085e-07 4.66092e-07 -1.12985e-07 3.15861e-08 6.33586e-09 2.74440e-09 2.74151e-09 -3.28253e-11 1.21795e-09 -3.76011e-11 -2.60377e-10 8.61715e-10 -9.68504e-11 1.58642e-10 -1.72845e-10
# precision: tgt 2.00e-03 max 2.39e-04 (12.0%) avg 3.85e-05 (1.9%)
-1.10451e-04 3.56101e-06 -1.21702e-05 1.35081e-05 -1.15698e-08 5.93779e-08 4.39720e-08 3.00028e-08 5.46440e-07 8.91355e-09 4.00924e-10 4.51604e-09 3.08003e-10 3.44552e-09 2.80397e-10 -3.94066e-12 9.46830e-10 -1.26252e-10 -1.12814e-10 -1.84640e-11
# precision: tgt 2.00e-03 max 1.86e-04 (9.3%) avg 3.26e-05 (1.6%)
2.04491e+00 -7.95470e-06 5.45491e-06 6.13659e-06 2.08113e-07 -3.16853e-07 1.31191e-08 1.43509e-07 -4.07022e-08 -5.11373e-07 -5.82927e-10 -2.18162e-09 -1.44060e-10 7.43693e-10 -5.08531e-10 -6.10310e-10 1.28003e-09 5.37749e-11 2.68962e-11 2.19634e-10

#its2k_z9_q3
0 9 2 20
# precision: tgt 2.00e-03 max 2.17e-04 (10.8%) avg 2.75e-05 (1.4%)
-3.84695e-04 -7.76239e-06 -4.19302e-07 -9.06975e-06 1.63775e-07 -2.63233e-07 5.30514e-07 9.64646e-08 -5.73881e-08 3.87643e-08 2.40163e-09 -2.00331e-09 2.56027e-10 -7.89136e-10 -3.30529e-10 1.04551e-10 1.03573e-09 -2.08542e-10 -1.85101e-10 -1.09028e-10
# precision: tgt 2.00e-03 max 2.22e-04 (11.1%) avg 4.01e-05 (2.0%)
-4.51926e-04 -2.39080e-06 -1.19462e-05 8.90983e-06 -1.27130e-07 2.72995e-07 -4.17987e-10 -1.63260e-07 5.11973e-07 -1.68849e-08 -1.11975e-09 3.26747e-09 1.99849e-11 3.31677e-10 6.69045e-11 9.82734e-12 -6.12800e-10 -2.01478e-10 5.68063e-11 -1.01120e-10
# precision: tgt 2.00e-03 max 1.92e-04 (9.6%) avg 1.71e-05 (0.9%)
2.04495e+00 -4.98583e-06 1.49421e-05 6.79638e-06 2.55487e-07 2.62370e-07 3.17365e-08 1.71057e-07 9.24006e-09 -4.97691e-07 -4.61506e-10 2.06924e-09 1.15283e-10 4.28841e-10 -2.43555e-11 -5.92577e-10 -9.92481e-10 2.72948e-10 -2.59535e-10 2.87450e-10

#its2k_z9_q4
0 9 3 20
# precision: tgt 2.00e-03 max 2.99e-04 (15.0%) avg 1.52e-05 (0.8%)
1.10332e-04 1.54551e-06 4.90136e-06 -3.67271e-06 -1.43533e-07 -1.32414e-07 4.93882e-07 -8.21711e-08 1.47349e-08 7.10920e-08 9.95843e-10 2.70377e-10 -3.95031e-10 -1.36245e-09 -6.24253e-10 -6.47368e-10 -8.69146e-10 -2.10511e-10 4.84675e-12 -2.19617e-11
# precision: tgt 2.00e-03 max 1.37e-04 (6.8%) avg 1.32e-05 (0.7%)
-1.98020e-04 5.43814e-06 -3.59501e-06 1.01748e-05 -1.56166e-07 -1.41782e-07 -1.17354e-08 -1.02070e-09 4.48022e-07 1.45680e-09 9.77357e-10 8.30840e-11 1.01332e-10 -1.19827e-09 -7.03423e-11 6.56940e-11 -5.30689e-11 -3.06260e-10 -4.32663e-10 -2.93361e-12
# precision: tgt 2.00e-03 max 2.13e-04 (10.7%) avg 2.61e-05 (1.3%)
2.04504e+00 -1.50654e-05 2.07303e-05 8.64910e-06 2.00024e-07 -2.82902e-07 6.73335e-08 2.81301e-07 1.16350e-08 -4.91424e-07 7.93459e-10 1.00152e-09 -3.39214e-10 -1.15649e-09 -3.51121e-10 -3.10570e-11 -4.18915e-10 4.92811e-11 -3.12086e-10 3.09526e-10

#tof2k_z0_q1
2 0 0 20
# precision: tgt 2.00e-03 max 8.55e-02 (4275.3%) avg 7.81e-03 (390.6%)
7.02027e+00 -3.21766e-02 -3.13389e-02 1.67591e-02 3.16618e-05 1.46502e-05 -1.00570e-04 6.52334e-06 -1.19107e-04 -1.42044e-05 -7.64811e-09 5.70391e-09 6.07309e-08 8.84838e-09 4.91416e-08 -6.54057e-08 1.69314e-09 2.22596e-08 -1.01907e-07 -3.57920e-08
# precision: tgt 2.00e-03 max 6.19e-02 (3094.6%) avg 6.75e-03 (337.6%)
6.13177e+00 -2.85788e-02 -3.05004e-02 1.39809e-02 1.17067e-05 1.42951e-05 -1.04251e-04 3.01642e-05 -9.55985e-05 -1.46174e-05 -3.05899e-09 -3.08955e-09 2.13134e-08 8.27440e-10 3.22978e-08 -9.19645e-08 -3.98989e-09 5.93437e-08 -6.62902e-08 -3.47400e-08
# precision: tgt 2.00e-03 max 8.16e-02 (4082.3%) avg 8.83e-03 (441.7%)
1.04576e+01 1.31564e-02 1.67342e-02 6.48873e-02 -3.48815e-05 -8.77131e-05 -1.57350e-05 -4.37458e-05 -8.46523e-06 1.28362e-04 2.81012e-08 4.10276e-08 -2.11376e-08 3.67711e-08 -1.22083e-07 -6.10220e-08 2.74015e-08 -4.22686e-08 -6.28253e-08 6.72528e-08

#tof2k_z0_q2
2 0 1 20
# precision: tgt 2.00e-03 max 9.96e-02 (4982.2%) avg 8.39e-03 (419.3%)
-5.59736e+00 -2.91701e-02 2.84561e-02 -1.10891e-02 -3.20195e-05 1.56856e-05 -8.84713e-05 -6.90421e-06 1.07556e-04 2.02117e-05 -1.16546e-08 6.30169e-10 -5.36004e-08 5.59102e-09 4.37742e-08 -5.75668e-08 -3.81297e-10 -2.03785e-08 9.23281e-08 3.70478e-08
# precision: tgt 2.00e-03 max 5.90e-02 (2951.8%) avg 7.01e-03 (350.7%)
1.10334e+01 2.90374e-02 -3.20817e-02 4.10217e-02 1.33722e-05 -1.76743e-05 1.03025e-04 3.10009e-05 -9.94360e-05 3.61358e-05 5.21525e-09 -6.39997e-09 2.05152e-08 2.69596e-09 -3.34050e-08 9.02566e-08 -5.87069e-09 5.71755e-08 -7.01237e-08 -2.70639e-09
# precision: tgt 2.00e-03 max 7.74e-02 (3868.0%) avg 9.06e-03 (452.9%)
9.00290e+00 -1.24721e-02 1.59650e-02 5.59372e-02 -3.24793e-05 8.75923e-05 1.72440e-05 -4.44191e-05 -1.25242e-05 1.09805e-04 -2.68645e-08 4.20042e-08 -1.66146e-08 -3.81116e-08 1.19195e-07 6.00670e-08 2.84496e-08 -4.14655e-08 -6.62202e-08 5.47481e-08

#tof2k_z0_q3
2 0 2 20
# precision: tgt 2.00e-03 max 1.00e-01 (5004.2%) avg 1.13e-02 (563.8%)
5.26233e+00 -2.96068e-02 -2.86839e-02 5.25386e-02 -5.53176e-05 -5.61641e-05 -5.46085e-05 -2.98418e-05 -7.31595e-05 1.30826e-04 -3.22636e-08 -4.72714e-08 -5.60739e-08 -4.07876e-08 -4.93121e-08 -1.96582e-08 -2.05267e-08 -2.19964e-08 -5.41582e-08 9.82675e-08
# precision: tgt 2.00e-03 max 9.08e-02 (4541.5%) avg 9.87e-03 (493.7%)
-4.77308e-01 -2.95422e-02 -2.36359e-02 1.82099e-02 -3.59560e-05 -6.28315e-05 -6.86157e-05 -4.77516e-05 -3.26937e-05 6.03058e-05 -1.84618e-08 -3.14633e-08 -4.12887e-08 -4.22125e-08 -7.54222e-08 -3.54518e-08 -3.07741e-08 -4.46576e-08 4.69923e-09 4.70178e-08
# precision: tgt 2.00e-03 max 7.46e-02 (3729.8%) avg 1.03e-02 (514.1%)
1.95997e+01 3.21646e-02 3.17385e-02 8.29635e-02 6.53293e-06 -1.58743e-05 1.38364e-04 1.68965e-05 1.28342e-04 1.13983e-04 -1.72800e-08 -2.39555e-08 4.47660e-08 -1.98636e-08 1.10827e-10 1.32820e-07 -1.03839e-08 5.59872e-08 1.17713e-07 3.80735e-08

#tof2k_z0_q4
2 0 3 20
# precision: tgt 2.00e-03 max 9.40e-02 (4697.6%) avg 1.09e-02 (543.7%)
-1.52512e+00 -3.20976e-02 3.16493e-02 -3.34535e-02 5.79730e-05 -6.08606e-05 -5.99498e-05 3.14708e-05 8.10362e-05 -9.72173e-05 -3.11053e-08 4.63004e-08 6.38689e-08 -4.26106e-08 -5.80011e-08 -1.94579e-08 2.09474e-08 2.38815e-08 5.90562e-08 -7.76872e-08
# precision: tgt 2.00e-03 max 9.94e-02 (4971.2%) avg 9.66e-03 (483.0%)
-7.78583e-01 3.13219e-02 -2.43359e-02 1.75405e-02 -3.54190e-05 6.22614e-05 7.61607e-05 -4.74713e-05 -3.57544e-05 6.13440e-05 1.62557e-08 -2.79291e-08 -4.46735e-08 3.82782e-08 8.05866e-08 4.04238e-08 -2.93055e-08 -4.78541e-08 4.24213e-09 4.86675e-08
# precision: tgt 2.00e-03 max 8.18e-02 (4087.8%) avg 1.04e-02 (517.6%)
1.72630e+01 -3.43866e-02 3.51644e-02 6.76753e-02 4.79915e-06 1.95396e-05 -1.50047e-04 1.69166e-05 1.43495e-04 7.97792e-05 2.00754e-08 -2.86375e-08 4.62225e-08 2.44050e-08 -1.58004e-10 -1.44409e-07 -1.22182e-08 6.02070e-08 1.31286e-07 1.28332e-08

#tof2k_z1_q1
2 1 0 20
# precision: tgt 2.00e-03 max 2.82e-02 (1411.3%) avg 3.06e-03 (153.1%)
2.71037e+00 -1.05587e-02 -9.98949e-03 8.23818e-03 1.41333e-05 1.40159e-05 -2.78585e-05 6.66517e-06 -3.39782e-05 1.49193e-06 -7.55144e-09 -7.95876e-09 1.94589e-08 -4.71042e-09 2.39102e-08 -1.48523e-08 -3.30461e-09 1.01700e-08 -2.74895e-08 -7.58734e-09
# precision: tgt 2.00e-03 max 2.36e-02 (1181.2%) avg 2.90e-03 (145.1%)
1.07541e+00 -7.25131e-03 -5.60444e-03 1.80086e-03 8.62609e-06 1.34436e-05 -2.10240e-05 1.34676e-05 -8.53621e-06 -4.21400e-06 -3.88051e-09 -5.80869e-09 1.30037e-08 -7.38886e-09 2.14032e-08 -1.34634e-08 -6.53632e-09 1.95833e-08 3.70312e-09 -6.63499e-09
# precision: tgt 2.00e-03 max 2.07e-02 (1037.1%) avg 2.12e-03 (106.0%)
3.85185e+00 -1.48356e-03 -2.92728e-04 1.29441e-02 -3.80341e-06 -1.95476e-05 -2.24193e-05 -6.27378e-06 -1.96110e-05 2.09470e-05 6.54392e-09 1.12834e-08 5.35534e-09 1.02641e-08 -2.61752e-08 -3.45638e-08 6.80688e-09 -5.26692e-10 -3.46031e-08 4.03102e-09

#tof2k_z1_q2
2 1 1 20
# precision: tgt 2.00e-03 max 3.23e-02 (1615.2%) avg 3.43e-03 (171.3%)
4.31809e-01 -8.89612e-03 1.07369e-02 1.09088e-02 -1.33467e-05 1.40761e-05 -2.18567e-05 -7.44287e-06 3.64155e-05 3.75674e-05 -8.80855e-09 9.43459e-09 -1.52622e-08 -5.05592e-09 2.27308e-08 -1.06775e-08 3.71705e-09 -1.12785e-08 2.94265e-08 3.41982e-08
# precision: tgt 2.00e-03 max 2.59e-02 (1293.8%) avg 3.11e-03 (155.4%)
-8.15294e-01 6.73740e-03 -4.69624e-03 -9.79138e-03 8.26513e-06 -1.40196e-05 1.87499e-05 1.35062e-05 -4.31193e-06 -2.76204e-05 5.26659e-09 -8.38702e-09 9.19350e-09 9.97226e-09 -1.79887e-08 1.31058e-08 -7.78709e-09 1.67999e-08 6.49639e-09 -2.26597e-08
# precision: tgt 2.00e-03 max 2.08e-02 (1041.4%) avg 2.19e-03 (109.3%)
4.85583e+00 1.94536e-03 -1.65860e-03 1.83917e-02 -3.15351e-06 1.95470e-05 2.41355e-05 -6.63192e-06 -2.57089e-05 3.05537e-05 -5.66086e-09 1.05466e-08 5.94035e-09 -9.68942e-09 2.67760e-08 3.59435e-08 6.78118e-09 -1.30405e-09 -4.13232e-08 9.53157e-09

#tof2k_z1_q3
2 1 2 20
# precision: tgt 2.00e-03 max 3.54e-02 (1769.7%) avg 4.41e-03 (220.7%)
-5.64507e-02 -3.42091e-03 -4.97283e-03 3.51099e-03 -1.60050e-05 -1.94936e-05 6.51114e-06 -1.09386e-05 -6.22671e-06 1.04701e-05 -1.27874e-08 -1.83117e-08 -1.16946e-08 -1.39818e-08 -1.85596e-08 1.78660e-08 -8.03019e-09 -9.11164e-09 1.58021e-09 7.11710e-09
# precision: tgt 2.00e-03 max 3.58e-02 (1788.6%) avg 4.01e-03 (200.4%)
-1.92826e+00 -8.55016e-03 -7.84435e-03 -4.44126e-03 -1.18704e-05 -2.04765e-05 -1.98771e-05 -1.45327e-05 -1.19193e-05 1.09576e-06 -7.42403e-09 -1.12591e-08 -1.34774e-08 -1.62664e-08 -2.51944e-08 -8.91810e-09 -1.22517e-08 -9.81689e-09 3.39145e-10 4.49464e-09
# precision: tgt 2.00e-03 max 1.68e-02 (841.2%) avg 2.68e-03 (134.2%)
5.80127e+00 9.77995e-03 9.77707e-03 1.80724e-02 3.81910e-06 -6.34781e-06 4.78880e-05 6.23680e-06 4.53424e-05 2.00558e-05 -3.44712e-09 -6.04652e-09 1.70758e-08 -4.41822e-09 -4.67857e-09 5.27675e-08 -1.45181e-09 1.93093e-08 4.83966e-08 -2.45069e-09

#tof2k_z1_q4
2 1 3 20
# precision: tgt 2.00e-03 max 3.31e-02 (1655.0%) avg 4.10e-03 (204.9%)
1.08420e+00 -6.29222e-03 6.13887e-03 1.24296e-03 1.83183e-05 -2.13659e-05 -2.34014e-06 1.06865e-05 1.03098e-05 -3.06978e-06 -1.21250e-08 1.76550e-08 1.81108e-08 -1.43258e-08 -2.27069e-08 1.25760e-08 7.71695e-09 8.71932e-09 2.02799e-09 -3.14760e-09
# precision: tgt 2.00e-03 max 3.44e-02 (1720.1%) avg 3.83e-03 (191.4%)
-1.48791e+00 8.16759e-03 -6.59462e-03 -2.53968e-03 -1.17454e-05 1.90716e-05 1.90909e-05 -1.42794e-05 -7.54485e-06 3.77107e-06 6.61093e-09 -9.79209e-09 -1.51466e-08 1.43228e-08 2.54406e-08 7.44936e-09 -1.14770e-08 -1.13780e-08 5.65857e-09 5.40575e-09
# precision: tgt 2.00e-03 max 2.00e-02 (997.7%) avg 2.68e-03 (133.9%)
6.87020e+00 -1.02402e-02 1.00873e-02 2.47362e-02 3.66369e-06 6.46434e-06 -4.98801e-05 6.64002e-06 4.64803e-05 3.37540e-05 4.46356e-09 -7.28760e-09 1.81857e-08 5.37887e-09 3.22899e-09 -5.44591e-08 -1.89913e-09 2.11739e-08 4.87364e-08 6.95961e-09

#tof2k_z10_q1
2 10 0 20
# precision: tgt 2.00e-03 max 1.80e-03 (90.1%) avg 3.24e-04 (16.2%)
2.75435e-03 -2.38905e-05 -1.79364e-05 5.98742e-06 7.22758e-08 1.24919e-07 4.65588e-07 1.58938e-08 -1.01233e-07 -6.72499e-08 -7.97008e-11 -2.14490e-10 -5.89559e-11 -1.06023e-10 2.34092e-10 6.70485e-11 7.85816e-12 1.39510e-10 3.25035e-10 4.95330e-10
# precision: tgt 2.00e-03 max 1.47e-03 (73.5%) avg 3.46e-04 (17.3%)
1.02551e-02 -5.32042e-05 -9.81481e-05 1.35120e-05 7.37481e-08 3.28592e-07 1.51437e-08 2.70979e-07 5.56627e-07 1.42872e-08 -4.06963e-12 -2.84096e-10 -9.26965e-11 -5.30273e-10 -2.54610e-11 -7.40463e-11 -2.60957e-10 -1.84806e-10 -7.28842e-11 -1.00042e-10
# precision: tgt 2.00e-03 max 1.39e-03 (69.7%) avg 1.72e-04 (8.6%)
2.05397e+00 -8.22013e-05 -5.55147e-05 3.84007e-05 4.76403e-07 3.33680e-07 -1.47041e-07 4.25795e-07 -1.67279e-07 -6.17839e-07 -2.41601e-10 -4.50794e-10 1.85203e-10 -3.54405e-10 5.42985e-10 3.27768e-10 -1.68698e-10 1.27448e-10 2.05915e-10 -4.07407e-10

#tof2k_z10_q2
2 10 1 20
# precision: tgt 2.00e-03 max 1.22e-03 (60.9%) avg 2.98e-04 (14.9%)
-1.06352e-02 -6.22562e-05 5.56052e-05 -5.42206e-05 -1.22951e-07 2.58583e-07 2.79116e-07 -8.84281e-08 1.23402e-07 4.24070e-08 -5.91003e-11 2.92991e-10 -2.26742e-11 -2.15474e-10 3.73907e-10 -1.81382e-10 2.66108e-11 -8.18162e-12 1.68877e-11 7.99943e-10
# precision: tgt 2.00e-03 max 1.45e-03 (72.3%) avg 2.63e-04 (13.2%)
1.08831e-02 9.83122e-05 -8.32032e-05 3.68970e-05 2.77315e-07 -4.51640e-07 1.38210e-07 1.76151e-07 3.98407e-07 -8.74327e-08 2.73325e-10 -5.63471e-10 1.19713e-10 5.05026e-10 -1.55187e-10 -2.76113e-11 -1.33209e-10 5.93383e-11 -7.35751e-12 -9.90665e-10
# precision: tgt 2.00e-03 max 1.56e-03 (77.8%) avg 1.46e-04 (7.3%)
2.04529e+00 -1.50111e-05 1.45364e-05 2.99777e-05 2.11113e-07 2.80703e-08 2.49102e-07 2.45216e-07 -1.22701e-07 -6.39423e-07 -1.35672e-11 1.57252e-14 4.11962e-10 -3.58693e-11 -5.42137e-10 -6.15900e-10 -2.25119e-11 7.92633e-11 3.23409e-10 -2.58099e-10

#tof2k_z10_q3
2 10 2 20
# precision: tgt 2.00e-03 max 1.24e-03 (62.2%) avg 2.64e-04 (13.2%)
-6.99212e-03 -2.42400e-05 -4.88894e-05 -3.72805e-05 -3.41584e-09 -1.68036e-07 4.00086e-07 -1.37542e-07 -4.78784e-08 -4.49501e-08 5.97859e-11 -1.06663e-10 1.36212e-10 -2.70961e-10 -1.06009e-10 -2.27207e-10 -1.04157e-10 5.20645e-11 -8.07181e-11 2.91774e-11
# precision: tgt 2.00e-03 max 1.31e-03 (65.7%) avg 2.04e-04 (10.2%)
-7.37126e-03 -3.54679e-05 -4.72897e-05 -1.69541e-05 -3.57210e-08 -2.12628e-07 -1.26885e-07 -5.29634e-08 3.64159e-07 6.02465e-08 2.59926e-11 -2.08780e-10 -1.08362e-10 -1.85827e-10 -2.10491e-10 -7.63635e-11 2.79151e-11 -4.48573e-11 1.12053e-10 5.85181e-10
# precision: tgt 2.00e-03 max 1.36e-03 (68.0%) avg 1.67e-04 (8.3%)
2.05947e+00 1.05277e-04 1.29818e-04 3.27294e-05 5.63852e-07 6.02054e-07 2.27340e-07 5.77704e-07 1.35596e-07 -5.90403e-07 3.56270e-10 6.98475e-10 3.60027e-10 8.71280e-10 4.87871e-10 -6.02501e-10 3.28402e-10 1.45917e-10 -3.35026e-10 -1.11879e-11

#tof2k_z10_q4
2 10 3 20
# precision: tgt 2.00e-03 max 1.76e-03 (87.8%) avg 3.34e-04 (16.7%)
1.29596e-02 -8.36109e-05 8.19670e-05 7.79882e-06 1.40357e-07 -3.88146e-07 4.72648e-07 1.22654e-07 1.46144e-07 -1.00582e-08 -2.22329e-11 4.96554e-10 -7.36786e-11 -3.81097e-10 -2.18629e-10 -1.39863e-11 4.52731e-11 2.56291e-10 -2.27925e-10 6.15155e-10
# precision: tgt 2.00e-03 max 1.60e-03 (79.8%) avg 2.12e-04 (10.6%)
1.13656e-03 6.95908e-06 2.04750e-05 1.60206e-05 -6.30230e-08 -8.31775e-08 -6.00602e-08 8.59845e-08 5.40005e-07 -3.98715e-08 1.00961e-10 -1.23904e-10 1.06515e-10 -2.45218e-10 -1.59368e-10 1.37420e-11 6.66388e-11 1.54268e-10 1.42960e-11 -5.91045e-10
# precision: tgt 2.00e-03 max 1.01e-03 (50.3%) avg 2.27e-04 (11.4%)
2.04605e+00 -4.25420e-06 5.98436e-06 6.06935e-05 2.31571e-07 5.12261e-08 -2.75993e-07 2.13116e-07 2.64821e-07 -6.61763e-07 5.16070e-13 -1.20211e-10 3.70674e-10 7.28143e-11 -7.93763e-10 4.94018e-10 -1.42033e-11 2.60822e-10 -3.99042e-10 -3.65167e-10

#tof2k_z11_q1
2 11 0 20
# precision: tgt 2.00e-03 max 1.21e-03 (60.3%) avg 2.69e-04 (13.4%)
-4.91213e-03 8.50993e-06 1.46250e-05 4.53388e-05 4.77321e-08 -5.64696e-08 3.18694e-07 3.12504e-08 -2.32243e-07 -4.07448e-08 -8.57540e-11 -1.24487e-11 6.05954e-11 -7.14486e-12 5.51903e-10 -1.13048e-11 -9.87275e-11 2.72032e-10 6.35124e-12 3.81469e-10
# precision: tgt 2.00e-03 max 1.61e-03 (80.4%) avg 2.99e-04 (15.0%)
1.54315e-03 -3.43491e-05 -3.81883e-05 1.34386e-05 1.52589e-07 2.18707e-07 -6.87264e-09 1.25226e-07 5.58495e-07 6.13851e-08 -1.83881e-10 -3.54580e-10 -4.18531e-11 -3.59846e-10 -1.24034e-10 -1.26069e-10 -1.35255e-10 -2.08778e-10 -9.81152e-11 -1.98347e-10
# precision: tgt 2.00e-03 max 1.69e-03 (84.5%) avg 1.94e-04 (9.7%)
2.03003e+00 8.55080e-05 1.39433e-04 8.98214e-06 1.01787e-07 -5.48414e-07 2.00323e-07 -1.06077e-07 1.90475e-07 -1.11856e-06 3.08627e-11 5.48276e-10 -7.06604e-10 7.69602e-10 -7.18217e-10 2.13142e-09 3.29528e-10 -6.81161e-10 1.94545e-09 -4.30931e-10

#tof2k_z11_q2
2 11 1 20
# precision: tgt 2.00e-03 max 1.31e-03 (65.7%) avg 2.62e-04 (13.1%)
7.88937e-03 4.76107e-05 -5.61766e-05 -1.27346e-05 5.05895e-08 -2.48607e-07 4.56120e-07 1.09310e-07 5.92811e-08 -7.56273e-08 -1.76343e-11 -2.32564e-10 1.00185e-10 2.57254e-10 2.03833e-10 -9.30466e-11 -7.39776e-11 -4.81916e-11 1.82023e-10 2.69481e-10
# precision: tgt 2.00e-03 max 1.52e-03 (75.8%) avg 1.98e-04 (9.9%)
4.70806e-05 3.04129e-05 -3.57139e-05 2.78647e-05 1.56374e-07 -1.93210e-07 3.83220e-08 1.52696e-07 4.78502e-07 8.04324e-08 1.99670e-10 -2.91019e-10 -1.12476e-10 2.96421e-10 2.01711e-12 1.29778e-10 -1.94044e-10 -1.11987e-10 -7.29117e-11 -3.83965e-10
# precision: tgt 2.00e-03 max 1.45e-03 (72.5%) avg 2.11e-04 (10.6%)
2.03935e+00 -5.20546e-05 4.83667e-05 1.45145e-05 1.56635e-07 2.23170e-07 -1.43115e-07 1.78880e-07 1.35632e-07 -1.07158e-06 -1.18015e-11 2.73325e-10 -6.69620e-10 -2.17823e-10 5.96964e-10 -1.99949e-09 5.05189e-11 -5.99224e-10 1.89116e-09 -4.80775e-10

#tof2k_z11_q3
2 11 2 20
# precision: tgt 2.00e-03 max 1.68e-03 (84.2%) avg 2.24e-04 (11.2%)
-1.38180e-02 -1.26968e-04 -1.20789e-04 -2.18345e-05 -3.98540e-07 -6.85427e-07 4.69785e-07 -3.67037e-07 -5.78385e-08 4.76478e-08 -3.87443e-10 -9.54324e-10 1.82527e-10 -9.09833e-10 1.05455e-11 -6.60561e-11 -3.40991e-10 -8.92818e-12 3.70973e-11 -7.62252e-10
# precision: tgt 2.00e-03 max 1.32e-03 (65.8%) avg 2.96e-04 (14.8%)
1.74610e-03 3.25161e-05 -6.98368e-06 -8.98559e-06 1.20152e-07 6.31622e-08 -1.03629e-07 -3.84633e-08 4.29455e-07 8.33601e-09 1.35283e-10 1.55112e-10 -1.58411e-10 4.46217e-11 -1.60927e-10 6.73169e-11 -4.13698e-11 8.55662e-11 -5.16342e-11 3.02041e-11
# precision: tgt 2.00e-03 max 1.49e-03 (74.5%) avg 1.65e-04 (8.2%)
2.05347e+00 5.34456e-05 9.13395e-05 -3.39055e-05 4.22519e-07 3.11842e-07 -3.39705e-07 5.17027e-07 -3.82640e-07 -1.10572e-06 2.16486e-10 3.35916e-10 -8.41487e-10 4.65399e-10 -1.22501e-09 -2.18270e-09 3.26017e-10 -7.82740e-10 -1.82598e-09 -2.79360e-10

#tof2k_z11_q4
2 11 3 20
# precision: tgt 2.00e-03 max 1.39e-03 (69.5%) avg 3.04e-04 (15.2%)
1.27363e-02 -1.08804e-04 1.08737e-04 1.57396e-06 2.80441e-07 -5.42937e-07 4.93645e-07 2.74991e-07 1.15956e-08 1.26293e-07 -2.03491e-10 7.74673e-10 -1.16812e-10 -6.46576e-10 1.26080e-12 -1.64959e-10 2.42123e-10 -2.40831e-11 1.80789e-10 -6.61635e-10
# precision: tgt 2.00e-03 max 2.14e-03 (106.8%) avg 3.54e-04 (17.7%)
6.32106e-03 -2.14007e-07 6.05203e-05 -1.73474e-05 -1.16257e-07 -1.37506e-07 7.70191e-08 2.09023e-07 3.54641e-07 -4.43342e-08 1.99748e-10 -1.47401e-10 -1.25501e-11 -3.10079e-10 2.16309e-10 1.05538e-10 2.04490e-10 -4.11363e-11 -5.47955e-11 8.12470e-11
# precision: tgt 2.00e-03 max 1.58e-03 (78.8%) avg 1.96e-04 (9.8%)
2.05164e+00 -6.90029e-05 5.59034e-05 4.03762e-05 4.48368e-07 -3.02061e-07 -7.03147e-08 3.47998e-07 1.29688e-07 -6.80225e-07 -2.07321e-10 4.78273e-10 -2.11355e-10 -3.51695e-10 -2.84192e-10 1.07137e-09 9.36096e-11 7.37723e-11 -5.43959e-10 -3.50199e-11

#tof2k_z12_q1
2 12 0 20
# precision: tgt 2.00e-03 max 1.32e-03 (66.0%) avg 1.95e-04 (9.7%)
-1.00249e-03 -6.63327e-06 -1.18357e-06 -6.97286e-06 3.69320e-08 -1.90126e-08 5.88411e-07 1.92473e-08 5.73453e-08 3.72415e-08 -3.06064e-11 -8.41105e-13 -2.03904e-10 -2.91604e-12 1.40261e-10 -6.97155e-10 -3.62785e-11 -1.71188e-11 -7.67950e-10 1.06978e-09
# precision: tgt 2.00e-03 max 1.13e-03 (56.7%) avg 2.30e-04 (11.5%)
-1.90843e-03 -1.70664e-05 -2.38326e-05 1.07184e-04 1.31086e-07 2.20050e-07 -5.32846e-07 1.17460e-07 1.03141e-07 -2.03423e-08 -1.67227e-10 -4.29922e-10 4.75593e-10 -3.85154e-10 6.52589e-10 1.17593e-09 -1.48933e-10 1.85132e-10 1.01076e-09 -1.68367e-09
# precision: tgt 2.00e-03 max 1.73e-03 (86.4%) avg 2.65e-04 (13.2%)
2.02375e+00 1.51176e-04 1.92878e-04 -1.45297e-05 -7.69857e-08 -8.00586e-07 -1.09224e-07 -2.20958e-07 -8.96131e-08 -1.68037e-07 1.50239e-10 8.45501e-10 2.71416e-10 1.00858e-09 2.29809e-12 5.41448e-10 3.72843e-10 1.18337e-10 6.98281e-10 -2.02570e-09

#tof2k_z12_q2
2 12 1 20
# precision: tgt 2.00e-03 max 9.57e-04 (47.9%) avg 2.06e-04 (10.3%)
2.01357e-04 7.58999e-07 -7.94445e-06 2.60539e-05 -2.47737e-08 -4.58953e-08 6.98673e-07 2.44738e-08 -1.44878e-07 -2.95565e-08 -4.17536e-11 -4.74587e-11 3.59762e-10 3.80293e-11 -1.58546e-10 -5.85115e-10 -4.34839e-11 1.76471e-10 4.62831e-10 -7.65618e-10
# precision: tgt 2.00e-03 max 1.05e-03 (52.6%) avg 1.69e-04 (8.4%)
-3.71445e-03 3.61426e-06 -1.69432e-05 9.56259e-05 9.53901e-08 -1.46620e-07 4.63683e-07 1.24303e-07 1.63123e-07 3.75907e-08 1.38282e-10 -2.80043e-10 3.03373e-10 2.61574e-10 -5.60847e-10 -1.05995e-09 -1.80868e-10 1.38094e-10 7.39214e-10 -1.64184e-09
# precision: tgt 2.00e-03 max 1.11e-03 (55.4%) avg 2.41e-04 (12.1%)
2.03150e+00 -1.20229e-04 1.18181e-04 1.60869e-05 -1.62658e-08 5.06579e-07 2.00657e-07 1.17747e-09 -2.13450e-07 -3.36366e-07 -1.20812e-10 5.76895e-10 2.88566e-10 -5.24694e-10 -1.78275e-10 -6.88073e-10 1.74449e-10 2.32533e-10 9.66059e-10 -1.61926e-09

#tof2k_z12_q3
2 12 2 20
# precision: tgt 2.00e-03 max 1.21e-03 (60.7%) avg 1.90e-04 (9.5%)
-7.14319e-03 -6.42323e-05 -7.21038e-05 -7.68040e-06 -2.13651e-07 -4.16352e-07 4.89313e-07 -2.42641e-07 -5.29564e-09 -8.61560e-08 -2.14470e-10 -5.56665e-10 2.16684e-10 -6.28975e-10 1.34245e-10 1.15061e-10 -2.23036e-10 6.80294e-11 -3.95484e-12 3.97884e-10
# precision: tgt 2.00e-03 max 1.56e-03 (78.2%) avg 2.12e-04 (10.6%)
-2.05007e-03 4.54024e-06 -3.70197e-05 -1.99216e-06 4.64361e-08 -7.29187e-08 -1.21158e-07 -1.10228e-07 5.11544e-07 -6.48000e-08 7.51320e-11 -3.37579e-11 -1.91556e-10 -9.91169e-11 -1.75933e-10 -3.32245e-11 -9.59836e-11 2.31503e-10 -2.95543e-10 4.61047e-12
# precision: tgt 2.00e-03 max 1.02e-03 (51.2%) avg 2.38e-04 (11.9%)
2.04574e+00 -1.58622e-05 3.01325e-05 -5.16239e-06 2.51239e-07 5.82151e-08 2.23078e-07 3.71943e-07 9.38922e-08 -7.54905e-08 1.00503e-10 7.97261e-11 2.67644e-10 2.53535e-10 2.54600e-10 -7.22132e-10 2.23047e-10 1.43583e-10 -2.65369e-10 -2.23398e-09

#tof2k_z12_q4
2 12 3 20
# precision: tgt 2.00e-03 max 1.58e-03 (78.9%) avg 2.38e-04 (11.9%)
1.36313e-02 -1.11460e-04 1.14173e-04 7.15465e-06 2.69784e-07 -5.57290e-07 5.13352e-07 2.71915e-07 -3.52268e-08 -8.12059e-08 -1.78962e-10 7.63683e-10 -1.45503e-10 -6.62107e-10 2.33730e-11 -1.41499e-10 2.16845e-10 -9.39576e-11 2.59218e-10 7.44907e-10
# precision: tgt 2.00e-03 max 2.20e-03 (109.9%) avg 2.75e-04 (13.8%)
5.70361e-03 5.03678e-06 5.79579e-05 -2.47233e-05 -1.27658e-07 -1.19461e-07 9.57704e-08 2.17186e-07 3.84538e-07 6.62860e-08 2.03683e-10 -1.79171e-10 -2.05927e-11 -3.10489e-10 2.22306e-10 -7.03881e-12 2.30608e-10 4.95413e-11 -6.79071e-11 -4.07625e-10
# precision: tgt 2.00e-03 max 1.69e-03 (84.6%) avg 2.22e-04 (11.1%)
2.05124e+00 -1.77823e-05 2.35866e-05 -1.68287e-04 2.35523e-07 1.12336e-10 4.59023e-07 2.24645e-07 -5.29322e-07 5.64740e-07 -6.32313e-12 1.65218e-11 -6.21993e-11 4.94651e-11 4.40781e-10 -1.99650e-09 -1.24434e-11 -2.61838e-10 2.06189e-09 -9.50064e-10

#tof2k_z13_q1
2 13 0 20
# precision: tgt 2.00e-03 max 1.84e-03 (91.8%) avg 1.70e-04 (8.5%)
-3.20855e-02 6.04626e-05 5.48173e-05 5.93996e-04 -1.44702e-07 -2.37266e-07 2.86858e-07 -1.17583e-07 -2.02905e-07 -4.32907e-06 1.44987e-10 2.60659e-10 9.96521e-11 2.17066e-10 5.78878e-10 -2.22890e-10 1.13450e-10 1.10229e-10 -2.06968e-10 1.17864e-08
# precision: tgt 2.00e-03 max 1.37e-03 (68.3%) avg 1.90e-04 (9.5%)
9.87662e-03 2.21965e-05 4.59422e-05 -3.38889e-04 2.91147e-08 -1.25927e-08 -4.60555e-07 -7.81382e-08 -7.22176e-08 3.62881e-06 -5.44523e-11 -2.53809e-10 4.58401e-10 -1.28017e-10 1.20607e-09 4.99639e-11 -1.55558e-11 7.68146e-10 1.65485e-10 -9.76260e-09
# precision: tgt 2.00e-03 max 1.26e-03 (63.0%) avg 1.72e-04 (8.6%)
2.00729e+00 5.03162e-05 9.68349e-05 6.55769e-04 1.34206e-07 -4.30674e-07 3.54659e-07 -3.87185e-09 2.73014e-07 -6.08287e-06 -1.94189e-11 3.42548e-10 2.15740e-10 4.80832e-10 4.09030e-10 -2.00334e-09 1.61103e-10 3.00847e-10 -1.85038e-09 1.66679e-08

#tof2k_z13_q2
2 13 1 20
# precision: tgt 2.00e-03 max 1.16e-03 (58.2%) avg 1.82e-04 (9.1%)
2.11510e-02 5.83494e-05 -4.65831e-05 -3.76791e-04 1.18315e-07 -1.60362e-07 2.66280e-07 1.10014e-07 1.81297e-07 2.64435e-06 9.32492e-11 -2.17687e-10 1.75519e-11 1.06833e-10 2.18580e-10 4.29602e-10 -1.30742e-10 -1.11282e-10 -1.89274e-10 -6.77908e-09
# precision: tgt 2.00e-03 max 1.22e-03 (61.2%) avg 1.84e-04 (9.2%)
9.74950e-03 -6.82921e-05 5.20653e-05 -4.16282e-04 -1.19620e-07 1.34612e-07 5.86782e-07 -5.24684e-08 -4.78495e-09 4.26475e-06 -4.58177e-11 -8.82500e-12 7.90589e-10 -4.58850e-11 -1.08118e-09 -2.06750e-10 -3.90673e-11 4.30121e-10 4.38007e-10 -1.16230e-08
# precision: tgt 2.00e-03 max 1.83e-03 (91.7%) avg 2.03e-04 (10.2%)
2.01353e+00 -2.24548e-05 2.60642e-05 7.09385e-04 1.94318e-07 1.61733e-07 -2.60855e-07 1.80627e-07 2.62844e-07 -6.49264e-06 5.70854e-11 1.06725e-10 2.18544e-10 -7.97653e-11 -3.75208e-10 1.64381e-09 3.07830e-11 2.29258e-10 -1.64134e-09 1.75266e-08

#tof2k_z13_q3
2 13 2 20
# precision: tgt 2.00e-03 max 1.91e-03 (95.4%) avg 2.48e-04 (12.4%)
-1.50355e-02 5.08452e-05 3.57381e-05 4.83877e-04 4.88161e-08 5.54470e-10 -4.37892e-08 -3.37249e-08 -6.14121e-07 -4.82587e-06 -3.19048e-11 -2.22820e-10 -6.02489e-10 -4.01869e-10 -1.71221e-09 -2.93234e-10 -1.10309e-10 -8.51526e-10 -2.45572e-10 1.25375e-08
# precision: tgt 2.00e-03 max 1.36e-03 (67.9%) avg 2.46e-04 (12.3%)
3.41000e-02 3.37443e-05 1.54825e-05 -7.47508e-04 1.18932e-07 1.05749e-07 -3.93823e-09 3.00093e-08 3.99040e-07 5.88152e-06 1.91179e-10 2.05724e-10 2.26786e-10 1.56165e-10 5.16489e-12 -7.31255e-11 2.35124e-11 6.85347e-11 -8.31204e-11 -1.57873e-08
# precision: tgt 2.00e-03 max 1.43e-03 (71.6%) avg 1.84e-04 (9.2%)
2.03988e+00 8.22185e-05 1.20215e-04 4.09054e-04 4.90149e-07 4.40752e-07 -3.63497e-08 6.08300e-07 -5.93070e-08 -3.71721e-06 3.30752e-10 6.92004e-10 5.10782e-10 7.89704e-10 1.00896e-09 1.68996e-09 4.40376e-10 1.50316e-10 1.18991e-09 1.00961e-08

#tof2k_z13_q4
2 13 3 20
# precision: tgt 2.00e-03 max 1.56e-03 (78.1%) avg 2.30e-04 (11.5%)
1.49599e-02 -6.61369e-05 7.43586e-05 -1.19354e-04 1.47716e-07 -4.31350e-07 2.39178e-07 1.73709e-07 2.58265e-07 1.37599e-06 -6.86460e-11 6.35523e-10 1.94879e-10 -5.97159e-10 -5.88683e-10 3.87618e-11 1.34410e-10 3.18212e-10 4.09125e-11 -3.60929e-09
# precision: tgt 2.00e-03 max 1.91e-03 (95.3%) avg 2.21e-04 (11.0%)
9.81446e-03 -2.79207e-05 8.86929e-05 -5.33303e-05 -2.80398e-08 -2.35756e-07 2.22671e-07 3.26165e-07 3.36255e-07 1.60217e-07 1.10148e-10 -4.35653e-11 -2.26973e-10 -4.85808e-10 2.76354e-10 -1.87847e-10 3.62951e-10 3.54002e-11 7.44768e-11 -3.52175e-10
# precision: tgt 2.00e-03 max 1.04e-03 (51.9%) avg 1.74e-04 (8.7%)
2.02098e+00 -1.54755e-05 2.71460e-05 5.87071e-04 3.75733e-07 -2.40192e-07 -4.89288e-07 4.58457e-07 5.52963e-07 -4.22092e-06 -2.06931e-10 5.45599e-10 6.63909e-10 -5.12037e-10 -1.15346e-09 8.17126e-11 2.74862e-10 6.12410e-11 -1.11482e-09 9.44187e-09

#tof2k_z14_q1
2 14 0 20
# precision: tgt 2.00e-03 max 1.51e-03 (75.7%) avg 1.84e-04 (9.2%)
-3.58806e-02 8.62199e-05 8.05615e-05 4.68719e-04 -1.18957e-07 -1.35354e-07 -2.12818e-07 -1.20213e-07 -6.81631e-07 -1.88267e-06 2.30218e-10 3.43915e-10 -5.10759e-10 2.48164e-10 -3.27817e-10 2.59539e-09 2.01337e-10 -2.16810e-10 2.26055e-09 1.88397e-09
# precision: tgt 2.00e-03 max 1.10e-03 (54.8%) avg 1.84e-04 (9.2%)
-7.50900e-03 4.17788e-06 2.28934e-05 1.23197e-04 5.42499e-08 1.21739e-07 -4.14266e-07 1.62461e-08 -5.13077e-08 -8.88139e-08 -4.42591e-11 -3.03056e-10 2.93111e-10 -1.35282e-10 3.91829e-10 5.06755e-10 -1.52736e-11 7.69422e-11 1.20120e-09 -4.12427e-10
# precision: tgt 2.00e-03 max 1.29e-03 (64.6%) avg 1.62e-04 (8.1%)
2.01305e+00 1.29412e-04 1.62789e-04 2.29044e-04 -3.77964e-08 -6.60673e-07 -8.61291e-08 -1.38208e-07 -7.22882e-08 -1.62177e-06 1.81714e-10 7.01209e-10 1.30869e-10 8.40347e-10 1.09729e-10 5.00416e-11 3.30555e-10 8.65762e-11 2.14326e-11 2.16079e-09

#tof2k_z14_q2
2 14 1 20
# precision: tgt 2.00e-03 max 1.33e-03 (66.4%) avg 1.88e-04 (9.4%)
2.44586e-02 7.18834e-05 -5.32536e-05 -3.24277e-04 8.86889e-08 -8.78383e-08 -4.97816e-08 6.89746e-08 4.69611e-07 1.26292e-06 1.28470e-10 -2.05242e-10 3.10200e-10 2.94196e-11 7.81947e-11 1.71831e-09 -1.53968e-10 1.08902e-10 -1.33436e-09 -1.35978e-09
# precision: tgt 2.00e-03 max 1.07e-03 (53.3%) avg 1.80e-04 (9.0%)
-1.39182e-02 -1.54746e-05 2.84747e-05 2.12007e-04 2.88422e-08 -1.07293e-07 4.78364e-07 2.87678e-08 -1.08739e-07 -5.17106e-07 -4.71164e-11 -1.46056e-10 -3.71528e-11 4.78275e-11 -9.99516e-11 -1.12639e-09 -4.60547e-11 3.60324e-11 1.53654e-09 6.82619e-11
# precision: tgt 2.00e-03 max 1.08e-03 (54.0%) avg 1.48e-04 (7.4%)
2.03001e+00 -8.24602e-05 9.17247e-05 1.11999e-04 6.68501e-08 3.62057e-07 1.04909e-07 6.65153e-09 -6.51791e-08 -9.93221e-07 -8.59842e-11 3.64641e-10 2.25196e-10 -3.89109e-10 -3.24537e-10 1.07636e-10 2.31686e-10 2.44386e-10 -2.19017e-10 1.12029e-09

#tof2k_z14_q3
2 14 2 20
# precision: tgt 2.00e-03 max 1.98e-03 (99.1%) avg 2.67e-04 (13.3%)
1.17509e-02 9.42995e-05 6.83543e-05 -4.18794e-05 1.62679e-07 2.35913e-07 1.38757e-07 1.34687e-07 -2.10668e-07 -1.45516e-07 1.37213e-10 2.89025e-10 1.10223e-10 1.03044e-10 -3.74350e-10 6.28511e-10 1.30285e-10 -2.49049e-10 -9.08224e-11 4.04475e-10
# precision: tgt 2.00e-03 max 1.48e-03 (74.1%) avg 2.31e-04 (11.6%)
6.73629e-03 -3.61688e-05 -6.03045e-05 -2.43778e-04 -7.67087e-08 -3.83371e-07 -2.92187e-07 -2.09631e-07 1.54042e-07 1.06464e-06 7.16521e-11 -2.50824e-10 3.72956e-10 -2.29900e-10 9.05103e-10 1.72052e-09 -6.90945e-11 7.49390e-10 2.08075e-09 -6.53150e-10
# precision: tgt 2.00e-03 max 1.40e-03 (70.0%) avg 1.78e-04 (8.9%)
2.05340e+00 3.95073e-05 9.44559e-05 1.32561e-05 3.45797e-07 3.14715e-07 1.25904e-07 5.25979e-07 8.62685e-09 -4.22656e-07 1.58392e-10 4.21161e-10 4.49567e-10 5.81459e-10 5.97665e-10 4.54918e-10 3.56748e-10 1.19883e-10 3.99866e-10 3.19030e-10

#tof2k_z14_q4
2 14 3 20
# precision: tgt 2.00e-03 max 1.23e-03 (61.3%) avg 2.31e-04 (11.5%)
-4.77896e-03 -5.64834e-05 7.55626e-05 2.52903e-04 1.81918e-07 -4.76025e-07 5.65325e-08 1.92382e-07 3.04514e-07 -1.00367e-06 -5.25047e-11 5.81244e-10 -2.09207e-10 -5.97006e-10 -1.30373e-10 1.22696e-09 7.81213e-11 -4.15389e-11 -6.73936e-10 1.29835e-09
# precision: tgt 2.00e-03 max 1.84e-03 (92.1%) avg 2.05e-04 (10.3%)
1.98228e-02 -1.04471e-05 7.05968e-05 -2.61402e-04 -1.32987e-07 -1.98192e-08 5.02130e-07 2.20535e-07 5.49351e-08 9.83725e-07 1.33145e-10 -2.42807e-10 8.79673e-11 -2.85043e-10 -2.52447e-11 -1.45190e-09 3.27106e-10 3.14111e-10 1.35323e-09 -9.02835e-10
# precision: tgt 2.00e-03 max 1.07e-03 (53.7%) avg 1.69e-04 (8.5%)
2.04135e+00 4.22114e-06 3.22755e-05 8.13378e-05 2.27765e-07 -8.72117e-08 -1.93722e-07 3.91920e-07 1.16330e-07 -6.84092e-07 -3.01951e-11 2.40909e-10 5.34269e-10 -3.36242e-10 -8.69431e-10 -4.51485e-10 2.59621e-10 2.32104e-10 3.65366e-10 7.86515e-10

#tof2k_z15_q1
2 15 0 20
# precision: tgt 2.00e-03 max 1.78e-03 (88.9%) avg 3.36e-04 (16.8%)
-2.61342e-02 1.75896e-04 1.69436e-04 1.25954e-04 -5.01783e-07 -6.42470e-07 9.68699e-08 -4.43955e-07 -4.83784e-07 -1.62891e-07 4.67207e-10 6.85269e-10 4.61269e-10 5.37120e-10 1.16009e-09 -7.82082e-11 4.04684e-10 6.12311e-10 1.04028e-11 2.58507e-10
# precision: tgt 2.00e-03 max 1.72e-03 (85.8%) avg 3.06e-04 (15.3%)
1.60279e-03 3.95730e-05 6.79149e-05 -6.81188e-05 -5.89747e-08 -1.20833e-07 -3.30170e-07 -2.12013e-07 1.70755e-07 6.62407e-07 4.95995e-11 -1.24959e-10 4.20047e-10 1.20872e-10 7.99446e-10 -7.69074e-11 1.56078e-10 4.91412e-10 -5.59001e-11 -9.52637e-10
# precision: tgt 2.00e-03 max 1.21e-03 (60.5%) avg 2.06e-04 (10.3%)
2.05038e+00 6.65471e-05 9.60365e-05 -2.35069e-04 -4.67370e-08 -7.07456e-07 5.83584e-07 -1.33892e-07 6.14461e-07 2.16907e-07 2.96087e-10 8.94316e-10 -3.26814e-10 1.04224e-09 -3.86579e-10 -9.81813e-10 4.23479e-10 -3.79184e-10 -1.04370e-09 -4.72029e-10

#tof2k_z15_q2
2 15 1 20
# precision: tgt 2.00e-03 max 1.68e-03 (83.8%) avg 2.91e-04 (14.5%)
8.29803e-03 9.84902e-05 -8.07452e-05 -2.29190e-05 2.64348e-07 -2.72854e-07 1.75735e-07 2.10809e-07 3.27586e-07 -1.99650e-07 2.37452e-10 -2.80005e-10 -2.56775e-10 7.93244e-11 9.20671e-10 2.76610e-11 -2.40469e-10 -3.74784e-10 3.81841e-11 2.74988e-10
# precision: tgt 2.00e-03 max 1.68e-03 (83.8%) avg 3.01e-04 (15.1%)
-1.58442e-03 -5.81091e-05 7.72183e-05 -3.56528e-05 -2.05656e-07 2.49111e-07 1.61587e-07 -2.63645e-07 2.65805e-07 3.90190e-07 -2.58296e-10 1.93836e-10 2.35648e-10 -3.28411e-10 -6.02995e-10 2.63534e-10 2.02102e-10 4.61463e-10 -1.70701e-10 -4.25471e-10
# precision: tgt 2.00e-03 max 8.94e-04 (44.7%) avg 1.37e-04 (6.8%)
2.05982e+00 -4.22124e-06 1.79682e-05 -2.11733e-04 1.13939e-07 3.53637e-07 -5.65908e-07 3.92970e-08 5.90264e-07 1.01360e-07 -1.44210e-10 4.95684e-10 -2.91858e-10 -5.59290e-10 2.83587e-10 1.01953e-09 3.26615e-10 -3.53659e-10 -1.01061e-09 -2.89254e-10

#tof2k_z15_q3
2 15 2 20
# precision: tgt 2.00e-03 max 1.95e-03 (97.4%) avg 3.72e-04 (18.6%)
1.83831e-02 2.26173e-04 1.85184e-04 6.30194e-05 6.31920e-07 8.83582e-07 3.36538e-07 4.85738e-07 -1.23954e-07 -4.68363e-07 5.54942e-10 1.17483e-09 -1.12982e-10 8.82441e-10 -3.05002e-10 -5.91745e-11 4.98021e-10 -1.35017e-10 -1.16647e-10 6.42655e-10
# precision: tgt 2.00e-03 max 1.97e-03 (98.4%) avg 3.16e-04 (15.8%)
-6.47787e-04 6.20820e-06 -1.33528e-05 -3.35239e-05 1.89307e-08 -1.81972e-07 -3.67372e-07 -1.52444e-08 2.35002e-07 -1.22339e-07 5.63698e-11 -4.39592e-10 -4.50254e-10 -3.01422e-10 -8.49293e-10 3.05235e-11 3.64112e-12 -1.90289e-10 -1.28753e-10 1.76849e-10
# precision: tgt 2.00e-03 max 1.56e-03 (77.8%) avg 2.07e-04 (10.4%)
2.06706e+00 1.00208e-04 1.53280e-04 -9.83372e-05 3.75050e-07 2.93811e-07 -4.43093e-07 5.58383e-07 -5.49664e-07 -3.27343e-07 6.54753e-11 2.02686e-10 -2.05609e-10 3.53199e-10 -2.27468e-10 8.09606e-10 3.08937e-10 -4.30132e-10 8.36262e-10 3.04654e-10

#tof2k_z15_q4
2 15 3 20
# precision: tgt 2.00e-03 max 1.75e-03 (87.3%) avg 3.15e-04 (15.7%)
2.30173e-03 1.58051e-05 5.71058e-06 3.31688e-06 -9.99319e-08 -1.05614e-07 2.20895e-07 -3.28597e-08 2.45237e-07 2.61047e-07 1.47238e-10 2.02181e-10 2.74293e-10 -2.91936e-10 -7.05416e-10 -1.89393e-11 -1.10147e-10 2.59551e-10 1.03892e-10 -3.67469e-10
# precision: tgt 2.00e-03 max 1.97e-03 (98.7%) avg 2.46e-04 (12.3%)
1.93448e-03 -5.67938e-05 9.90317e-05 7.03623e-05 8.83175e-08 -2.87557e-07 3.29552e-07 4.08921e-07 3.36137e-07 -5.37180e-07 -2.15492e-11 -1.06579e-10 -5.06054e-10 -4.17238e-10 9.44652e-10 1.51871e-10 4.59649e-10 -1.82701e-10 -4.01362e-10 6.58607e-10
# precision: tgt 2.00e-03 max 1.27e-03 (63.4%) avg 1.89e-04 (9.4%)
2.05567e+00 -7.21785e-05 1.09467e-04 -2.32471e-05 2.86414e-07 -1.47672e-07 3.98521e-07 4.88850e-07 -4.13128e-07 -5.44974e-07 5.11312e-11 9.51011e-11 -1.51245e-10 -2.72880e-10 -1.40095e-10 -9.04332e-10 2.76644e-10 -2.61018e-10 8.58457e-10 6.42194e-10

#tof2k_z16_q1
2 16 0 20
# precision: tgt 2.00e-03 max 2.04e-03 (102.2%) avg 3.12e-04 (15.6%)
-1.05946e-02 1.96391e-04 2.28625e-04 -1.80794e-04 -7.53585e-07 -1.03202e-06 7.04587e-07 -5.49124e-07 -4.21816e-07 9.49193e-07 6.65483e-10 1.03531e-09 6.63304e-10 6.94122e-10 1.72068e-09 -1.67127e-09 4.42995e-10 7.42716e-10 -4.35223e-10 -8.84369e-10
# precision: tgt 2.00e-03 max 2.17e-03 (108.3%) avg 3.09e-04 (15.5%)
4.91081e-03 1.48794e-04 1.18109e-04 -2.04400e-04 -4.96913e-07 -8.28112e-07 -8.23668e-09 -6.88691e-07 9.68571e-07 7.81466e-07 4.80469e-10 7.79770e-10 4.31803e-10 9.42219e-10 9.61295e-10 -7.75086e-10 5.97843e-10 7.04146e-10 -1.77392e-09 -5.57463e-10
# precision: tgt 2.00e-03 max 1.86e-03 (93.1%) avg 3.21e-04 (16.1%)
2.10599e+00 -2.36870e-04 -2.07629e-04 -4.50351e-04 3.38854e-07 -1.78896e-07 1.99190e-06 3.96629e-07 1.78355e-06 8.69154e-08 9.88300e-11 2.87318e-10 -8.76845e-10 1.48993e-10 6.33964e-11 -3.61964e-09 3.98232e-11 -7.22316e-10 -3.46023e-09 1.13552e-09

#tof2k_z16_q2
2 16 1 20
# precision: tgt 2.00e-03 max 2.77e-03 (138.7%) avg 3.17e-04 (15.8%)
5.93614e-03 1.76808e-04 -2.44787e-04 2.22312e-04 7.10152e-07 -1.12050e-06 8.77864e-07 5.99946e-07 3.69332e-07 -1.06703e-06 6.23779e-10 -1.15217e-09 -4.46170e-10 8.55681e-10 1.61891e-09 -1.82559e-09 -4.94956e-10 -6.89515e-10 4.83059e-10 1.00727e-09
# precision: tgt 2.00e-03 max 2.10e-03 (104.8%) avg 3.19e-04 (15.9%)
7.21880e-03 -1.82867e-04 1.35943e-04 -2.65318e-04 -6.64992e-07 1.07189e-06 -1.26734e-07 -8.03605e-07 1.19042e-06 8.74982e-07 -6.53377e-10 1.15302e-09 4.23173e-10 -1.30410e-09 -8.73340e-10 9.80368e-10 6.85813e-10 6.71033e-10 -2.11570e-09 -5.42254e-10
# precision: tgt 2.00e-03 max 1.91e-03 (95.3%) avg 3.31e-04 (16.5%)
2.16334e+00 2.46514e-04 -2.24435e-04 -1.04502e-03 3.46502e-07 2.98532e-07 -2.21741e-06 2.93005e-07 2.15687e-06 1.97826e-06 -7.90701e-11 4.63230e-10 -1.07164e-09 -3.96459e-10 2.12145e-10 3.79198e-09 1.99699e-10 -9.12554e-10 -3.89592e-09 -9.30512e-10

#tof2k_z16_q3
2 16 2 20
# precision: tgt 2.00e-03 max 2.25e-03 (112.4%) avg 3.79e-04 (18.9%)
2.94091e-03 2.54236e-04 2.85192e-04 3.38968e-04 7.84286e-07 1.33683e-06 6.37236e-07 6.87128e-07 -2.90976e-07 -1.51762e-06 6.56797e-10 1.35218e-09 -3.95575e-10 1.14872e-09 -1.54780e-09 -1.34648e-09 5.62557e-10 -5.80671e-10 -5.53663e-10 1.58699e-09
# precision: tgt 2.00e-03 max 1.91e-03 (95.6%) avg 3.48e-04 (17.4%)
-2.09897e-02 1.15119e-04 1.26301e-05 3.17253e-04 4.09265e-07 3.43931e-07 -2.78403e-07 3.58729e-07 9.79249e-07 -1.30287e-06 4.09876e-10 2.17534e-10 -6.77826e-10 3.54173e-10 -9.12472e-10 -3.76743e-10 5.80418e-10 1.70053e-10 -1.53885e-09 1.33597e-09
# precision: tgt 2.00e-03 max 1.74e-03 (87.0%) avg 3.32e-04 (16.6%)
2.13084e+00 8.45801e-05 1.90363e-04 -8.60439e-04 1.66206e-07 -5.37900e-07 -1.49314e-06 4.76996e-07 -1.77852e-06 1.68070e-06 -6.35740e-11 -6.00242e-10 -4.82674e-10 -2.81093e-10 5.87078e-10 3.11035e-09 1.29174e-10 -1.22293e-09 3.08130e-09 -8.19890e-10

#tof2k_z16_q4
2 16 3 20
# precision: tgt 2.00e-03 max 2.11e-03 (105.5%) avg 3.51e-04 (17.6%)
-2.79361e-02 1.49125e-04 -1.90467e-04 5.85887e-05 -6.27640e-07 8.18474e-07 7.54266e-07 -4.52584e-07 3.91622e-07 5.03737e-08 6.19741e-10 -7.64911e-10 3.80770e-10 5.01924e-10 -1.43959e-09 -1.42352e-09 -3.92904e-10 5.59754e-10 2.85654e-10 1.24040e-10
# precision: tgt 2.00e-03 max 2.32e-03 (115.9%) avg 3.34e-04 (16.7%)
1.69189e-02 -1.25742e-04 6.62291e-05 -4.26158e-05 4.42143e-07 -7.82689e-07 -1.15234e-08 6.09304e-07 1.27202e-06 2.25880e-07 -3.54885e-10 7.33525e-10 -4.55419e-10 -1.14057e-09 4.27357e-10 5.25824e-10 8.45588e-10 4.90167e-10 -1.61091e-09 -5.65663e-10
# precision: tgt 2.00e-03 max 1.84e-03 (92.1%) avg 3.29e-04 (16.5%)
2.08011e+00 -1.14567e-04 2.04977e-04 -2.96696e-04 2.81520e-07 3.24781e-07 1.33973e-06 6.16114e-07 -1.51716e-06 -1.65257e-07 -4.79088e-11 -2.90428e-10 -3.75545e-10 -3.90043e-11 -8.01403e-10 -2.95122e-09 2.82176e-10 -1.12574e-09 2.72006e-09 1.20927e-09

#tof2k_z17_q1
2 17 0 20
# precision: tgt 2.00e-03 max 5.80e-03 (290.1%) avg 5.02e-04 (25.1%)
6.68084e-01 5.56909e-04 5.63509e-04 -6.95896e-03 -1.48161e-06 -2.13819e-06 -5.96855e-08 -1.12848e-06 -1.20820e-06 2.26501e-05 1.36920e-09 2.00772e-09 1.10510e-09 1.35167e-09 3.37672e-09 -1.35730e-09 8.00968e-10 1.58406e-09 -3.36757e-10 -2.35475e-08
# precision: tgt 2.00e-03 max 5.50e-03 (275.0%) avg 5.17e-04 (25.9%)
-3.33992e-01 9.38000e-04 8.20612e-04 2.06685e-03 -1.17783e-06 -1.96702e-06 -3.56506e-06 -1.42292e-06 -1.96330e-06 -4.19431e-06 9.29659e-10 1.53199e-09 1.37470e-09 1.91345e-09 2.64062e-09 3.67270e-09 1.33378e-09 1.12771e-09 1.97814e-09 2.81738e-09
# precision: tgt 2.00e-03 max 1.78e-03 (89.0%) avg 3.42e-04 (17.1%)
2.40223e+00 -7.17037e-04 -5.85414e-04 -2.82356e-03 7.77505e-07 -2.34669e-07 4.67400e-06 7.56116e-07 3.93811e-06 6.19554e-06 1.43689e-10 6.10755e-10 -2.66085e-09 4.82839e-10 -6.86132e-10 -6.66543e-09 1.23966e-10 -2.34154e-09 -5.81477e-09 -4.11024e-09

#tof2k_z17_q2
2 17 1 20
# precision: tgt 2.00e-03 max 5.59e-03 (279.6%) avg 4.93e-04 (24.7%)
-3.23335e-01 2.44643e-04 -5.95091e-04 3.49752e-03 1.54627e-06 -2.22145e-06 2.03279e-06 1.24882e-06 1.22304e-06 -1.11284e-05 1.37646e-09 -2.22672e-09 -1.08013e-09 1.59452e-09 3.04236e-09 -4.50294e-09 -9.17280e-10 -1.58341e-09 1.73105e-10 1.08966e-08
# precision: tgt 2.00e-03 max 5.36e-03 (267.9%) avg 5.16e-04 (25.8%)
-4.80215e-01 -9.59308e-04 8.22869e-04 3.44003e-03 -1.21896e-06 2.00891e-06 3.66309e-06 -1.47579e-06 -1.88740e-06 -8.51786e-06 -1.04935e-09 1.75710e-09 1.16890e-09 -2.13116e-09 -2.30348e-09 -4.07614e-09 1.37775e-09 1.08494e-09 2.00778e-09 7.25894e-09
# precision: tgt 2.00e-03 max 1.73e-03 (86.3%) avg 3.51e-04 (17.6%)
2.20864e+00 6.62672e-04 -5.43008e-04 -1.07383e-03 7.49913e-07 3.58036e-07 -4.51657e-06 6.44396e-07 3.90131e-06 8.09839e-07 -5.47497e-11 5.87940e-10 -2.47570e-09 -5.11911e-10 3.99018e-10 6.61049e-09 1.90368e-10 -2.17525e-09 -5.92698e-09 1.47246e-09

#tof2k_z17_q3
2 17 2 20
# precision: tgt 2.00e-03 max 4.90e-03 (245.2%) avg 5.87e-04 (29.4%)
3.50773e-01 6.52789e-04 8.83400e-04 -2.34056e-03 1.40893e-06 2.28130e-06 -5.71644e-07 1.16433e-06 -2.97969e-06 5.66685e-06 1.26606e-09 2.28498e-09 -7.10610e-10 1.79776e-09 -2.74994e-09 -1.33984e-10 1.00177e-09 -9.46757e-10 2.99180e-09 -4.99285e-09
# precision: tgt 2.00e-03 max 4.28e-03 (213.8%) avg 5.87e-04 (29.4%)
-3.19256e-02 3.73089e-04 -1.21471e-04 4.49348e-04 9.25723e-07 1.01214e-06 -9.57686e-07 7.40082e-07 2.60884e-06 -1.37423e-06 8.10601e-10 7.38076e-10 -1.33237e-09 9.54121e-10 -1.84778e-09 -7.45845e-11 1.07889e-09 1.97629e-10 -4.44775e-09 7.72052e-10
# precision: tgt 2.00e-03 max 2.04e-03 (102.1%) avg 3.62e-04 (18.1%)
2.02241e+00 2.15165e-04 3.54712e-04 2.84062e-04 4.42495e-07 -5.98720e-07 -2.17179e-06 9.33559e-07 -2.43877e-06 -2.33658e-06 -9.12515e-11 -8.44992e-10 -1.68086e-09 -2.94804e-10 3.19441e-10 3.46158e-09 2.74600e-10 -2.51056e-09 3.34822e-09 3.67678e-09

#tof2k_z17_q4
2 17 3 20
# precision: tgt 2.00e-03 max 4.44e-03 (222.0%) avg 5.52e-04 (27.6%)
-2.89841e-01 6.36615e-04 -7.25888e-04 1.86490e-03 -1.35117e-06 1.94978e-06 -7.78533e-07 -9.88558e-07 2.47927e-06 -4.31258e-06 1.23087e-09 -1.72119e-09 9.94254e-10 1.16799e-09 -3.19063e-09 -5.80806e-11 -8.73735e-10 1.02642e-09 -2.03690e-09 3.78646e-09
# precision: tgt 2.00e-03 max 4.84e-03 (241.9%) avg 5.72e-04 (28.6%)
2.35337e-02 -3.67798e-04 -9.13896e-05 -7.64373e-05 9.55014e-07 -1.51565e-06 5.60608e-07 1.10819e-06 3.22279e-06 6.85063e-07 -6.96419e-10 1.12474e-09 -1.31171e-09 -1.72017e-09 1.79523e-09 6.33680e-10 1.36055e-09 1.48870e-10 -5.39074e-09 -1.77569e-09
# precision: tgt 2.00e-03 max 1.84e-03 (91.9%) avg 3.62e-04 (18.1%)
2.03030e+00 -3.67768e-04 4.78748e-04 3.83564e-04 5.71234e-07 3.78606e-07 2.80073e-06 1.10675e-06 -2.86790e-06 -3.01828e-06 -9.14012e-12 -5.79995e-10 -1.66655e-09 3.09014e-11 -3.63262e-10 -4.46518e-09 4.37680e-10 -2.54839e-09 3.99442e-09 4.76882e-09

#tof2k_z18_q1
2 18 0 20
# precision: tgt 2.00e-03 max 9.23e-03 (461.5%) avg 9.81e-04 (49.0%)
1.97536e-01 9.26888e-04 1.28605e-03 -2.85392e-03 -3.41133e-06 -4.98410e-06 1.54458e-06 -2.67572e-06 -2.08673e-06 8.78623e-06 2.97318e-09 4.57883e-09 2.49447e-09 3.39490e-09 6.46642e-09 -5.51312e-09 1.73172e-09 3.33426e-09 -1.06132e-09 -7.42688e-09
# precision: tgt 2.00e-03 max 9.57e-03 (478.3%) avg 1.01e-03 (50.3%)
1.51442e-01 1.19893e-03 7.92758e-04 -2.31539e-03 -2.59526e-06 -4.52927e-06 -1.98318e-06 -3.29384e-06 1.73038e-06 7.25723e-06 1.96914e-09 3.54700e-09 2.67997e-09 4.16485e-09 5.48117e-09 -5.49347e-10 2.95843e-09 2.55367e-09 -5.29720e-09 -6.23004e-09
# precision: tgt 2.00e-03 max 2.77e-03 (138.5%) avg 5.01e-04 (25.0%)
2.39570e+00 -1.44453e-03 -1.51667e-03 -1.88750e-03 1.41753e-06 -1.10798e-06 8.87588e-06 1.41535e-06 9.34759e-06 5.42643e-07 2.73436e-10 1.51668e-09 -5.35337e-09 1.50856e-09 -6.79150e-10 -1.13614e-08 3.76757e-10 -5.35233e-09 -1.21594e-08 3.93597e-09

#tof2k_z18_q2
2 18 1 20
# precision: tgt 2.00e-03 max 8.56e-03 (428.2%) avg 9.39e-04 (47.0%)
-5.05381e-02 9.49551e-04 -1.27461e-03 1.64275e-03 3.31739e-06 -4.74162e-06 1.17099e-06 2.52972e-06 2.33074e-06 -5.68306e-06 2.99084e-09 -4.56248e-09 -2.17451e-09 3.25230e-09 5.96598e-09 -4.69641e-09 -1.71741e-09 -3.07620e-09 4.45077e-10 4.88872e-09
# precision: tgt 2.00e-03 max 9.06e-03 (453.0%) avg 9.96e-04 (49.8%)
1.78932e-01 -1.20441e-03 8.53534e-04 -2.54787e-03 -2.46249e-06 4.31898e-06 2.27354e-06 -3.32301e-06 1.31385e-06 8.00712e-06 -1.95263e-09 3.38899e-09 2.43694e-09 -4.10025e-09 -5.20699e-09 -4.18214e-11 2.94552e-09 2.71623e-09 -4.72728e-09 -7.06070e-09
# precision: tgt 2.00e-03 max 2.74e-03 (137.2%) avg 5.10e-04 (25.5%)
2.37791e+00 1.43083e-03 -1.51881e-03 -1.71211e-03 1.32799e-06 1.14252e-06 -8.88262e-06 1.31928e-06 9.42881e-06 -5.86369e-09 -2.52472e-10 1.42700e-09 -5.03029e-09 -1.43064e-09 3.51670e-10 1.15767e-08 4.13674e-10 -5.06215e-09 -1.24966e-08 4.55495e-09

#tof2k_z18_q3
2 18 2 20
# precision: tgt 2.00e-03 max 1.07e-02 (532.5%) avg 1.06e-03 (53.2%)
-5.65567e-02 1.24200e-03 1.42805e-03 1.93903e-03 3.47034e-06 5.36770e-06 1.76675e-07 2.37552e-06 -2.85250e-06 -6.81121e-06 2.75133e-09 4.75707e-09 -2.67587e-09 3.24407e-09 -7.21037e-09 -3.81211e-09 1.56396e-09 -2.65145e-09 2.29909e-10 6.09138e-09
# precision: tgt 2.00e-03 max 6.41e-03 (320.4%) avg 9.22e-04 (46.1%)
-2.58908e-01 9.72251e-04 4.20127e-04 2.86277e-03 2.15828e-06 2.64359e-06 -2.30115e-06 2.02099e-06 1.54917e-06 -8.74009e-06 1.67399e-09 1.94012e-09 -2.91774e-09 2.32769e-09 -4.04383e-09 2.18731e-10 2.55986e-09 -3.52354e-10 -3.90254e-09 7.74873e-09
# precision: tgt 2.00e-03 max 3.15e-03 (157.3%) avg 5.61e-04 (28.1%)
2.35646e+00 9.79124e-04 1.13376e-03 -1.92976e-03 5.75503e-07 -1.84054e-06 -7.48336e-06 1.44926e-06 -7.37262e-06 1.33787e-06 -4.51418e-10 -2.01901e-09 -3.45413e-09 -8.60731e-10 1.65532e-09 1.08313e-08 3.36374e-10 -4.30870e-09 1.01371e-08 2.92439e-09

#tof2k_z18_q4
2 18 3 20
# precision: tgt 2.00e-03 max 9.76e-03 (487.9%) avg 1.03e-03 (51.5%)
-9.46022e-02 1.28930e-03 -1.55318e-03 -8.45444e-04 -3.31685e-06 5.12940e-06 -3.80282e-07 -2.37946e-06 3.70352e-06 4.27301e-06 2.63086e-09 -4.29561e-09 2.78065e-09 3.01532e-09 -7.34705e-09 -3.14850e-09 -1.60143e-09 2.72142e-09 -1.29681e-09 -4.15060e-09
# precision: tgt 2.00e-03 max 7.53e-03 (376.4%) avg 8.76e-04 (43.8%)
-6.47083e-02 -1.10326e-03 5.11567e-04 1.42532e-03 2.20654e-06 -3.03599e-06 2.77038e-06 2.20672e-06 1.46235e-06 -5.03524e-06 -1.60118e-09 2.15667e-09 -3.00728e-09 -2.89451e-09 4.15022e-09 -8.11669e-10 2.71454e-09 -2.59466e-10 -3.72917e-09 4.58155e-09
# precision: tgt 2.00e-03 max 3.01e-03 (150.6%) avg 5.68e-04 (28.4%)
2.34754e+00 -1.01366e-03 1.15624e-03 -1.82994e-03 5.47782e-07 1.95055e-06 7.73517e-06 1.42749e-06 -7.57983e-06 9.43580e-07 4.39593e-10 -1.97617e-09 -3.28186e-09 8.20229e-10 -2.10588e-09 -1.14007e-08 3.93977e-10 -4.11622e-09 1.06336e-08 3.46214e-09

#tof2k_z19_q1
2 19 0 20
# precision: tgt 2.00e-03 max 1.72e-02 (860.4%) avg 1.88e-03 (94.2%)
4.23866e-02 2.48417e-03 3.51102e-03 -3.37238e-03 -7.53416e-06 -1.02798e-05 1.24333e-07 -5.64203e-06 -7.90993e-06 1.17364e-05 6.06351e-09 8.70412e-09 6.36738e-09 6.37979e-09 1.32040e-08 -7.50054e-09 3.55028e-09 6.79988e-09 2.58764e-09 -1.00080e-08
# precision: tgt 2.00e-03 max 1.70e-02 (849.9%) avg 2.08e-03 (104.0%)
-4.38152e-01 3.08008e-03 2.42627e-03 3.29167e-04 -5.63204e-06 -9.93420e-06 -6.03498e-06 -7.50903e-06 8.26074e-08 2.49049e-06 3.86792e-09 6.91992e-09 6.00598e-09 8.33306e-09 1.20640e-08 1.09384e-09 6.14070e-09 6.51153e-09 -7.04361e-09 -2.56474e-09
# precision: tgt 2.00e-03 max 6.24e-03 (312.1%) avg 1.05e-03 (52.6%)
3.09792e+00 -3.49676e-03 -3.60469e-03 -5.39197e-03 1.77507e-06 -4.39872e-06 2.07368e-05 1.87397e-06 2.12899e-05 3.68320e-06 1.46275e-09 3.95214e-09 -9.22243e-09 3.97544e-09 2.64343e-09 -2.56127e-08 1.53272e-09 -9.43717e-09 -2.64022e-08 6.24308e-09

#tof2k_z19_q2
2 19 1 20
# precision: tgt 2.00e-03 max 1.67e-02 (835.5%) avg 1.89e-03 (94.3%)
2.58684e-01 2.61357e-03 -3.32896e-03 1.13750e-03 7.44125e-06 -9.93674e-06 -7.88407e-07 5.47817e-06 7.39745e-06 -6.43859e-06 6.01636e-09 -8.60324e-09 -6.19349e-09 6.26529e-09 1.25280e-08 -6.09843e-09 -3.54542e-09 -6.48062e-09 -2.35984e-09 5.95340e-09
# precision: tgt 2.00e-03 max 1.63e-02 (817.1%) avg 2.04e-03 (102.2%)
-4.72484e-03 -3.20230e-03 2.28476e-03 -2.69997e-03 -5.28353e-06 9.39415e-06 7.24253e-06 -7.46810e-06 3.64525e-07 9.80222e-06 -3.63360e-09 6.16152e-09 5.89221e-09 -7.78599e-09 -1.21306e-08 -2.58980e-09 6.06322e-09 6.87927e-09 -7.48197e-09 -8.45423e-09
# precision: tgt 2.00e-03 max 5.68e-03 (284.0%) avg 1.05e-03 (52.4%)
3.42707e+00 3.58238e-03 -3.77724e-03 -7.53861e-03 1.66801e-06 4.35506e-06 -2.11364e-05 1.76849e-06 2.20875e-05 8.38176e-06 -1.44541e-09 3.77697e-09 -8.79256e-09 -3.83332e-09 -2.98094e-09 2.63073e-08 1.62837e-09 -9.15067e-09 -2.75451e-08 2.88591e-09

#tof2k_z19_q3
2 19 2 20
# precision: tgt 2.00e-03 max 1.99e-02 (994.9%) avg 2.11e-03 (105.5%)
-1.31123e-01 3.62964e-03 3.81942e-03 4.52959e-03 8.67355e-06 1.23813e-05 -3.27129e-06 5.59897e-06 -8.30726e-06 -1.49476e-05 6.05929e-09 1.00052e-08 -8.23415e-09 6.77158e-09 -1.63460e-08 -4.77689e-09 3.25736e-09 -6.57743e-09 2.60827e-09 1.26373e-08
# precision: tgt 2.00e-03 max 1.43e-02 (716.4%) avg 1.85e-03 (92.4%)
1.16974e-01 3.07923e-03 1.90023e-03 1.62004e-03 5.38789e-06 7.42489e-06 -7.61454e-06 5.45740e-06 -4.32456e-07 -7.30501e-06 3.56876e-09 4.36303e-09 -7.28511e-09 5.03693e-09 -1.16377e-08 2.59792e-09 5.08649e-09 -4.14341e-09 -5.44151e-09 6.53660e-09
# precision: tgt 2.00e-03 max 6.17e-03 (308.6%) avg 1.10e-03 (54.9%)
3.17851e+00 3.11183e-03 3.07679e-03 -6.28155e-03 6.04811e-07 -5.15697e-06 -2.00367e-05 1.66677e-06 -1.88037e-05 6.40860e-06 -1.96683e-09 -4.99362e-09 -7.25389e-09 -3.05533e-09 4.78482e-09 2.58701e-08 -5.63924e-10 -7.26952e-09 2.42125e-08 3.79042e-09

#tof2k_z19_q4
2 19 3 20
# precision: tgt 2.00e-03 max 2.02e-02 (1010.1%) avg 2.04e-03 (102.1%)
-6.45174e-01 3.35055e-03 -3.88489e-03 9.60244e-04 -8.19583e-06 1.17449e-05 -2.71938e-06 -5.40034e-06 9.18043e-06 2.27564e-06 5.80754e-09 -9.26206e-09 7.88531e-09 6.19999e-09 -1.61247e-08 -5.17874e-09 -3.13334e-09 6.56092e-09 -3.74408e-09 -2.96684e-09
# precision: tgt 2.00e-03 max 1.38e-02 (688.1%) avg 1.81e-03 (90.6%)
-5.26264e-03 -3.22916e-03 1.94599e-03 2.62075e-03 5.26635e-06 -7.48890e-06 8.44401e-06 5.45158e-06 -6.24848e-07 -9.99049e-06 -3.39860e-09 4.32534e-09 -7.23863e-09 -5.33551e-09 1.14797e-08 -3.68124e-09 5.13096e-09 -3.89170e-09 -5.02852e-09 8.95101e-09
# precision: tgt 2.00e-03 max 6.05e-03 (302.7%) avg 1.09e-03 (54.6%)
3.13317e+00 -3.19697e-03 3.21991e-03 -5.81339e-03 6.24741e-07 5.22714e-06 2.04293e-05 1.68169e-06 -1.94914e-05 4.95191e-06 1.87396e-09 -4.85688e-09 -7.04403e-09 2.91309e-09 -5.30795e-09 -2.65754e-08 -4.20020e-10 -6.99874e-09 2.52633e-08 5.27578e-09

#tof2k_z2_q1
2 2 0 20
# precision: tgt 2.00e-03 max 1.33e-02 (665.8%) avg 1.55e-03 (77.3%)
7.02869e-01 -2.09022e-03 -2.39444e-03 2.83780e-03 5.45307e-06 6.60236e-06 -1.47744e-06 3.56717e-06 -6.33091e-06 3.57806e-06 -4.08317e-09 -5.14012e-09 5.69024e-09 -3.06619e-09 1.05505e-08 4.38986e-09 -2.19077e-09 5.13537e-09 -2.61028e-09 1.90802e-09
# precision: tgt 2.00e-03 max 1.19e-02 (596.5%) avg 1.56e-03 (77.8%)
2.71828e-01 -2.24055e-03 -2.00464e-03 7.89776e-06 3.84763e-06 6.53785e-06 -5.14975e-06 5.82227e-06 -9.32914e-07 -2.53700e-06 -2.60655e-09 -4.43590e-09 4.37935e-09 -6.09643e-09 7.67036e-09 -2.19615e-09 -4.30104e-09 5.91705e-09 4.07195e-09 -2.83113e-09
# precision: tgt 2.00e-03 max 5.41e-03 (270.3%) avg 9.83e-04 (49.2%)
2.67246e+00 -1.69213e-03 -1.28376e-03 4.16702e-03 8.30417e-07 -5.53495e-06 -1.24350e-05 -4.64776e-07 -1.19746e-05 4.84509e-06 1.47759e-09 3.87626e-09 6.13832e-09 3.84714e-09 -6.28281e-09 -1.71024e-08 1.87601e-09 3.46313e-09 -1.81738e-08 -2.54824e-09

#tof2k_z2_q2
2 2 1 20
# precision: tgt 2.00e-03 max 1.32e-02 (658.0%) avg 1.62e-03 (81.0%)
-4.24331e-01 -2.00150e-03 2.60909e-03 -7.92177e-04 -5.22844e-06 6.67581e-06 -1.44325e-06 -3.91897e-06 6.71199e-06 1.42061e-06 -4.55480e-09 5.35945e-09 -4.24423e-09 -3.28015e-09 1.04105e-08 3.82573e-09 2.31635e-09 -5.60438e-09 2.43789e-09 1.97090e-09
# precision: tgt 2.00e-03 max 1.32e-02 (660.4%) avg 1.57e-03 (78.4%)
1.09938e-01 2.19766e-03 -1.88666e-03 -1.18157e-03 3.52144e-06 -6.50266e-06 5.28124e-06 5.41371e-06 -7.65758e-07 -5.50342e-06 2.98169e-09 -4.79333e-09 2.97562e-09 6.30216e-09 -6.96704e-09 3.00568e-09 -4.56103e-09 4.50432e-09 3.63056e-09 -5.32729e-09
# precision: tgt 2.00e-03 max 6.06e-03 (302.8%) avg 9.24e-04 (46.2%)
2.98580e+00 1.89018e-03 -1.80959e-03 5.83140e-03 7.85566e-07 4.58523e-06 1.33335e-05 9.98800e-09 -1.35729e-05 7.88159e-06 -1.07994e-09 3.04908e-09 5.72508e-09 -2.50912e-09 5.60532e-09 1.79886e-08 1.42187e-09 3.61840e-09 -1.96496e-08 -6.56349e-10

#tof2k_z2_q3
2 2 2 20
# precision: tgt 2.00e-03 max 1.48e-02 (741.3%) avg 1.92e-03 (96.1%)
-2.50349e-01 -1.75718e-03 -2.35549e-03 2.91858e-04 -6.09607e-06 -8.46398e-06 1.74977e-06 -4.93031e-06 -3.37203e-06 2.57751e-06 -5.74882e-09 -8.19417e-09 -3.17935e-09 -5.96505e-09 -9.10710e-09 7.35346e-09 -3.88814e-09 -4.38905e-09 1.20915e-09 1.69362e-09
# precision: tgt 2.00e-03 max 1.80e-02 (898.9%) avg 2.00e-03 (99.8%)
-5.50417e-01 -2.16216e-03 -1.28123e-03 -1.93182e-03 -4.13035e-06 -7.42576e-06 -3.75029e-06 -4.58756e-06 2.52506e-06 -2.54105e-06 -3.26617e-09 -4.44586e-09 -4.23602e-09 -6.64833e-09 -9.48246e-09 7.12609e-10 -4.73030e-09 -1.46460e-09 7.86397e-09 -2.26184e-09
# precision: tgt 2.00e-03 max 6.37e-03 (318.7%) avg 1.15e-03 (57.6%)
3.40005e+00 3.63856e-03 3.73177e-03 7.17502e-03 2.45316e-06 -1.16375e-06 1.90470e-05 3.33642e-06 1.82360e-05 8.35983e-06 -5.10203e-10 -1.94851e-09 8.59629e-09 -1.18232e-09 7.75498e-10 2.22766e-08 2.16853e-10 9.48361e-09 2.04315e-08 -1.62082e-09

#tof2k_z2_q4
2 2 3 20
# precision: tgt 2.00e-03 max 1.69e-02 (843.9%) avg 1.72e-03 (86.1%)
3.73353e-01 -1.41869e-03 2.01627e-03 8.08167e-04 5.57115e-06 -6.81385e-06 2.42185e-06 3.78123e-06 3.78353e-06 -1.88753e-08 -4.83128e-09 6.74984e-09 4.02912e-09 -4.84510e-09 -7.58360e-09 8.22607e-09 3.33126e-09 3.06956e-09 6.10371e-10 -5.81867e-11
# precision: tgt 2.00e-03 max 1.52e-02 (761.7%) avg 2.04e-03 (101.8%)
-2.05402e-01 2.97045e-03 -1.87137e-03 1.12546e-03 -5.37534e-06 9.01380e-06 5.59422e-06 -5.97242e-06 1.87096e-06 5.30720e-06 3.52018e-09 -5.55553e-09 -6.33213e-09 7.56649e-09 1.14338e-08 1.35642e-11 -5.13862e-09 -3.73529e-09 8.69626e-09 4.04999e-09
# precision: tgt 2.00e-03 max 6.11e-03 (305.4%) avg 1.14e-03 (57.0%)
3.08168e+00 -3.78963e-03 3.61684e-03 5.16411e-03 2.99683e-06 1.31800e-06 -1.91695e-05 3.55562e-06 1.78256e-05 3.95407e-06 7.60444e-10 -2.32696e-09 9.90347e-09 1.57101e-09 -1.01108e-09 -2.20663e-08 1.03876e-10 1.03066e-08 1.98469e-08 -4.93916e-09

#tof2k_z20_q1
2 20 0 20
# precision: tgt 2.00e-03 max 3.50e-02 (1752.4%) avg 3.96e-03 (197.9%)
-8.28523e+00 1.07751e-02 1.07142e-02 4.37393e-02 -1.75508e-05 -2.00274e-05 -2.39720e-05 -1.10943e-05 -3.13046e-05 -7.85058e-05 1.18088e-08 1.49074e-08 1.87863e-08 1.05190e-08 2.70282e-08 1.00909e-08 6.32173e-09 1.39927e-08 2.19176e-08 4.85730e-08
# precision: tgt 2.00e-03 max 3.21e-02 (1606.7%) avg 4.28e-03 (213.8%)
-4.48211e+00 1.06726e-02 1.16845e-02 1.94820e-02 -1.07408e-05 -1.83913e-05 -3.20319e-05 -1.75717e-05 -2.87893e-05 -2.64308e-05 6.71021e-09 1.11218e-08 1.23176e-08 1.39097e-08 2.36327e-08 2.41942e-08 1.17198e-08 1.95686e-08 1.59499e-08 1.08983e-08
# precision: tgt 2.00e-03 max 2.26e-02 (1128.0%) avg 2.65e-03 (132.6%)
6.54776e-01 1.74660e-03 1.19209e-03 5.27606e-03 -2.74671e-06 -2.00661e-05 9.64925e-06 -3.91668e-06 1.32704e-05 -1.39808e-05 6.81267e-09 1.22115e-08 -9.59325e-09 1.20874e-08 2.37161e-08 -2.00679e-08 6.74438e-09 -6.83137e-09 -2.54977e-08 1.80422e-08

#tof2k_z20_q2
2 20 1 20
# precision: tgt 2.00e-03 max 3.39e-02 (1697.4%) avg 3.91e-03 (195.3%)
6.79327e+00 1.10677e-02 -1.19330e-02 -3.35856e-02 1.71150e-05 -1.86151e-05 -2.63571e-05 1.02981e-05 3.78039e-05 5.49863e-05 1.15432e-08 -1.36529e-08 -1.87478e-08 9.43879e-09 2.60621e-08 1.29976e-08 -6.00724e-09 -1.31951e-08 -2.94205e-08 -3.03914e-08
# precision: tgt 2.00e-03 max 3.14e-02 (1571.3%) avg 4.19e-03 (209.4%)
-4.90500e+00 -9.81842e-03 1.06254e-02 2.31329e-02 -1.05895e-05 1.82833e-05 2.86846e-05 -1.75145e-05 -2.45572e-05 -3.60491e-05 -6.41336e-09 1.03653e-08 1.27045e-08 -1.35049e-08 -2.45227e-08 -2.03972e-08 1.17356e-08 1.97426e-08 1.13459e-08 1.90313e-08
# precision: tgt 2.00e-03 max 2.27e-02 (1133.6%) avg 2.61e-03 (130.5%)
1.08399e+00 -3.02757e-03 2.51893e-03 1.51265e-03 -3.14913e-06 2.03741e-05 -4.66045e-06 -4.07466e-06 7.86209e-06 -3.89583e-06 -6.73998e-09 1.20161e-08 -8.45900e-09 -1.18794e-08 -2.48532e-08 1.55189e-08 6.73867e-09 -6.30666e-09 -2.02642e-08 9.58374e-09

#tof2k_z20_q3
2 20 2 20
# precision: tgt 2.00e-03 max 3.95e-02 (1974.5%) avg 4.39e-03 (219.3%)
-1.15331e+00 3.39668e-03 4.53771e-03 1.12145e-02 2.04765e-05 2.50744e-05 1.21694e-05 1.16424e-05 -1.99614e-06 -2.53275e-05 1.33352e-08 2.00674e-08 -2.07170e-08 1.35172e-08 -3.06336e-08 -2.97938e-08 6.40293e-09 -1.32527e-08 -9.77307e-09 1.54185e-08
# precision: tgt 2.00e-03 max 3.40e-02 (1701.3%) avg 4.00e-03 (200.0%)
-1.48580e+00 3.53555e-03 3.86496e-04 1.11502e-02 1.23643e-05 1.85061e-05 -2.19588e-07 1.44415e-05 1.72621e-05 -2.26437e-05 7.30369e-09 9.09683e-09 -1.63896e-08 1.05441e-08 -2.86989e-08 -1.27403e-08 1.05631e-08 -1.51082e-08 -3.29363e-08 1.17368e-08
# precision: tgt 2.00e-03 max 2.09e-02 (1044.9%) avg 2.68e-03 (133.9%)
-8.64528e+00 6.54013e-03 4.36076e-03 7.18911e-02 -4.41834e-07 -1.43847e-05 -4.06950e-05 1.10154e-06 -2.97826e-05 -1.68946e-04 -7.32520e-09 -1.32357e-08 -1.52260e-08 -1.02226e-08 1.26084e-08 4.84128e-08 -4.89150e-09 -1.44047e-08 3.66863e-08 1.35834e-07

#tof2k_z20_q4
2 20 3 20
# precision: tgt 2.00e-03 max 3.71e-02 (1854.5%) avg 4.26e-03 (213.0%)
2.14826e+00 4.63258e-03 -4.82145e-03 -1.82247e-02 -2.00839e-05 2.43631e-05 6.30839e-06 -1.15639e-05 3.63408e-06 4.18064e-05 1.28846e-08 -1.88948e-08 2.10513e-08 1.24741e-08 -3.11255e-08 -2.38554e-08 -6.19785e-09 1.38582e-08 8.41057e-09 -2.81070e-08
# precision: tgt 2.00e-03 max 3.41e-02 (1704.8%) avg 3.91e-03 (195.5%)
-3.13924e+00 -3.26863e-03 4.93238e-04 2.16555e-02 1.19886e-05 -1.82594e-05 -5.00081e-07 1.41947e-05 1.65022e-05 -4.49939e-05 -7.22413e-09 9.39174e-09 -1.55074e-08 -1.11479e-08 2.72611e-08 1.27826e-08 1.06689e-08 -1.40851e-08 -3.13107e-08 2.77964e-08
# precision: tgt 2.00e-03 max 1.97e-02 (984.1%) avg 2.64e-03 (132.2%)
-7.47051e+00 -7.21702e-03 5.16646e-03 6.51821e-02 -3.95857e-07 1.40374e-05 4.32596e-05 1.21110e-06 -3.28764e-05 -1.56177e-04 7.19820e-09 -1.30775e-08 -1.50083e-08 1.01417e-08 -1.21893e-08 -5.10579e-08 -4.72155e-09 -1.43230e-08 3.98215e-08 1.27766e-07

#tof2k_z21_q1
2 21 0 20
# precision: tgt 2.00e-03 max 9.29e-02 (4645.8%) avg 8.84e-03 (442.1%)
-9.21432e+00 3.38915e-02 3.25961e-02 2.85607e-02 -3.78904e-05 -2.44828e-05 -9.94437e-05 -1.16199e-05 -1.17226e-04 -9.03936e-06 1.39744e-08 4.82078e-09 6.18245e-08 -6.20520e-10 5.52180e-08 6.24911e-08 2.51576e-09 2.50672e-08 9.75028e-08 -1.98829e-08
# precision: tgt 2.00e-03 max 7.03e-02 (3517.4%) avg 7.83e-03 (391.4%)
-9.87393e+00 3.03096e-02 3.28419e-02 3.41520e-02 -1.58307e-05 -2.23342e-05 -1.05618e-04 -3.63659e-05 -9.79263e-05 -2.30750e-05 7.25750e-09 1.13131e-08 2.19272e-08 8.93215e-09 3.58362e-08 9.20967e-08 1.09909e-08 6.01285e-08 6.72293e-08 -1.08750e-08
# precision: tgt 2.00e-03 max 7.56e-02 (3781.2%) avg 8.58e-03 (429.1%)
9.78581e+00 1.20831e-02 1.74031e-02 -6.07410e-02 -3.47018e-05 -8.95932e-05 2.09863e-05 -4.57487e-05 9.06786e-06 1.18955e-04 2.82247e-08 4.24521e-08 1.86768e-08 3.97788e-08 1.20931e-07 -6.50614e-08 2.80391e-08 4.23725e-08 -6.35622e-08 -6.02872e-08

#tof2k_z21_q2
2 21 1 20
# precision: tgt 2.00e-03 max 8.56e-02 (4281.2%) avg 8.42e-03 (421.1%)
1.07825e+01 3.10487e-02 -3.05738e-02 -3.95291e-02 3.56406e-05 -2.10353e-05 -9.16321e-05 1.00535e-05 1.11997e-04 3.27463e-05 1.35011e-08 -3.79026e-09 -5.82408e-08 -1.19070e-09 4.93987e-08 5.77539e-08 -2.19503e-09 -2.24388e-08 -9.48804e-08 3.72235e-09
# precision: tgt 2.00e-03 max 6.60e-02 (3302.3%) avg 7.53e-03 (376.3%)
-7.64806e+00 -2.86774e-02 3.22495e-02 2.22821e-02 -1.29408e-05 1.67054e-05 1.04001e-04 -3.32959e-05 -1.00512e-04 -2.56564e-07 -6.14610e-09 8.49349e-09 1.87045e-08 -6.55175e-09 -2.90269e-08 -9.34473e-08 1.01992e-08 5.60657e-08 7.30180e-08 -2.63598e-08
# precision: tgt 2.00e-03 max 7.26e-02 (3631.7%) avg 8.62e-03 (431.0%)
1.10839e+01 -1.30501e-02 1.75306e-02 -6.85550e-02 -3.41632e-05 8.87437e-05 -1.62372e-05 -4.53959e-05 7.68649e-06 1.35105e-04 -2.74776e-08 4.09847e-08 1.92481e-08 -3.82778e-08 -1.21835e-07 6.06380e-08 2.76954e-08 4.28232e-08 -6.23840e-08 -7.14096e-08

#tof2k_z21_q3
2 21 2 20
# precision: tgt 2.00e-03 max 9.90e-02 (4952.1%) avg 1.13e-02 (567.3%)
2.05885e+00 3.05144e-02 2.86664e-02 1.10509e-02 5.72801e-05 5.89627e-05 -5.54777e-05 2.93620e-05 -7.23077e-05 -5.17822e-05 3.27904e-08 4.78477e-08 -6.05272e-08 3.89660e-08 -5.76038e-08 1.65814e-08 1.83055e-08 -2.49357e-08 5.03327e-08 4.71492e-08
# precision: tgt 2.00e-03 max 8.34e-02 (4169.7%) avg 9.86e-03 (492.8%)
3.15341e+00 2.94421e-02 2.23925e-02 2.41591e-03 3.52252e-05 5.93379e-05 -7.01972e-05 4.52984e-05 -3.11801e-05 -3.01863e-05 1.80725e-08 2.93181e-08 -4.20224e-08 3.53795e-08 -7.65538e-08 3.64914e-08 2.83700e-08 -4.64042e-08 -7.31279e-09 2.77065e-08
# precision: tgt 2.00e-03 max 8.38e-02 (4187.7%) avg 1.01e-02 (505.0%)
2.01711e+01 3.52100e-02 3.51982e-02 -8.36177e-02 1.24035e-06 -2.33636e-05 -1.56305e-04 1.34293e-05 -1.46057e-04 1.08344e-04 -2.29426e-08 -3.39070e-08 -4.40840e-08 -2.84867e-08 2.23372e-09 1.51545e-07 -1.54096e-08 -5.74803e-08 1.35037e-07 -2.95618e-08

#tof2k_z21_q4
2 21 3 20
# precision: tgt 2.00e-03 max 9.80e-02 (4901.4%) avg 1.11e-02 (554.5%)
-4.44590e+00 3.31360e-02 -3.03366e-02 8.68597e-04 -5.85748e-05 6.04190e-05 -6.38971e-05 -3.07336e-05 7.69638e-05 3.17284e-05 3.22899e-08 -4.85759e-08 6.33071e-08 4.08466e-08 -5.82438e-08 2.34841e-08 -1.93213e-08 2.56106e-08 -5.42948e-08 -3.59427e-08
# precision: tgt 2.00e-03 max 8.74e-02 (4369.6%) avg 9.79e-03 (489.3%)
7.92010e+00 -3.11130e-02 2.54395e-02 -2.28615e-02 3.51823e-05 -6.00202e-05 7.64290e-05 4.52212e-05 -4.27625e-05 1.42029e-05 -1.75255e-08 2.82969e-08 -4.29845e-08 -3.53559e-08 7.87308e-08 -4.16989e-08 2.86178e-08 -4.58841e-08 3.70091e-09 1.84960e-09
# precision: tgt 2.00e-03 max 8.20e-02 (4100.4%) avg 9.88e-03 (493.8%)
2.44268e+01 -3.50020e-02 3.65745e-02 -1.07380e-01 1.72934e-06 2.17696e-05 1.54252e-04 1.53160e-05 -1.49277e-04 1.53141e-04 2.26844e-08 -3.35720e-08 -4.44526e-08 2.81540e-08 1.83993e-10 -1.48762e-07 -1.51574e-08 -6.06413e-08 1.36435e-07 -5.80328e-08

#tof2k_z3_q1
2 3 0 20
# precision: tgt 2.00e-03 max 7.27e-03 (363.4%) avg 8.84e-04 (44.2%)
1.71060e-01 -8.91135e-04 -1.05693e-03 2.51565e-04 2.52831e-06 3.49633e-06 4.34557e-07 1.70532e-06 -2.69115e-06 -8.20734e-07 -2.14209e-09 -3.42139e-09 1.86738e-09 -2.09685e-09 4.84606e-09 3.36926e-09 -1.25864e-09 2.07656e-09 -1.07422e-09 -1.08405e-09
# precision: tgt 2.00e-03 max 6.94e-03 (347.0%) avg 1.02e-03 (50.8%)
5.73380e-02 -1.27310e-03 -9.87299e-04 -7.05698e-04 2.28948e-06 3.68854e-06 -3.05411e-06 2.92579e-06 1.21919e-07 -3.49452e-06 -1.80672e-09 -3.27306e-09 2.07008e-09 -4.31255e-09 3.06150e-09 -1.95591e-09 -2.65054e-09 1.85308e-09 2.15078e-09 -3.84059e-09
# precision: tgt 2.00e-03 max 3.95e-03 (197.6%) avg 7.55e-04 (37.7%)
2.20064e+00 -1.01211e-03 -7.49105e-04 1.00044e-03 1.08728e-06 -1.83938e-06 -6.62347e-06 2.84516e-07 -6.48025e-06 -5.40625e-07 4.32442e-10 1.62191e-09 4.12977e-09 1.88287e-09 -1.17284e-09 -9.03374e-09 6.33830e-10 2.55826e-09 -9.98351e-09 -4.22428e-09

#tof2k_z3_q2
2 3 1 20
# precision: tgt 2.00e-03 max 6.93e-03 (346.7%) avg 8.33e-04 (41.7%)
1.38683e-01 -4.42883e-04 7.88189e-04 1.75806e-03 -2.09705e-06 2.88109e-06 1.60823e-06 -1.77374e-06 1.33724e-06 5.43171e-06 -2.26777e-09 2.56143e-09 -1.01824e-09 -1.75972e-09 4.67814e-09 4.43586e-09 1.15581e-09 -2.47934e-09 -1.15298e-09 4.41122e-09
# precision: tgt 2.00e-03 max 7.37e-03 (368.6%) avg 8.71e-04 (43.5%)
-1.19861e-01 7.35794e-04 -5.22852e-04 -1.64848e-03 1.55034e-06 -2.90091e-06 1.42841e-06 2.21857e-06 1.43191e-06 -5.21540e-06 1.48594e-09 -2.28338e-09 1.33401e-09 3.23942e-09 -3.04593e-09 6.50360e-11 -2.22119e-09 1.34174e-09 3.76125e-09 -4.60515e-09
# precision: tgt 2.00e-03 max 3.42e-03 (171.0%) avg 6.05e-04 (30.3%)
2.19614e+00 9.15877e-04 -1.08679e-03 6.19495e-04 5.87396e-07 1.00049e-06 6.51153e-06 8.32185e-07 -7.04700e-06 -1.82993e-06 -4.08109e-10 1.16741e-09 3.28123e-09 -5.59755e-10 4.95117e-10 8.89959e-09 2.69820e-10 2.98487e-09 -1.00363e-08 -5.31414e-09

#tof2k_z3_q3
2 3 2 20
# precision: tgt 2.00e-03 max 6.96e-03 (348.2%) avg 1.02e-03 (50.8%)
-7.56157e-02 -4.97827e-04 -8.85032e-04 2.05061e-04 -2.54936e-06 -3.60994e-06 2.42597e-06 -2.22015e-06 -7.54565e-07 1.09055e-06 -2.79848e-09 -4.00563e-09 -5.60321e-10 -2.91262e-09 -3.57802e-09 5.31065e-09 -1.85816e-09 -1.88460e-09 1.69708e-09 3.71379e-10
# precision: tgt 2.00e-03 max 9.43e-03 (471.3%) avg 1.14e-03 (56.9%)
1.90051e-02 -6.42892e-04 -1.52078e-04 8.27094e-04 -1.66615e-06 -2.97627e-06 -4.70488e-07 -1.47586e-06 3.15606e-06 2.61634e-06 -1.56947e-09 -2.12097e-09 -1.46627e-09 -2.83129e-09 -3.85770e-09 1.83707e-09 -1.99383e-09 5.69741e-10 6.03069e-09 1.59299e-09
# precision: tgt 2.00e-03 max 3.25e-03 (162.3%) avg 6.79e-04 (33.9%)
2.26188e+00 1.24876e-03 1.41469e-03 8.29243e-04 1.16127e-06 -2.17170e-08 7.41024e-06 1.84845e-06 7.13213e-06 -1.73840e-06 -2.63348e-10 -1.12348e-09 4.50791e-09 -4.28036e-10 1.82138e-09 9.10454e-09 1.95930e-10 5.33944e-09 7.94838e-09 -5.33494e-09

#tof2k_z3_q4
2 3 3 20
# precision: tgt 2.00e-03 max 9.06e-03 (453.0%) avg 9.34e-04 (46.7%)
4.51442e-03 -4.50492e-04 5.91239e-04 -6.79793e-04 1.93174e-06 -2.40313e-06 1.92069e-06 1.40660e-06 8.53991e-07 -2.54102e-06 -1.74756e-09 2.80461e-09 1.24801e-09 -1.65513e-09 -3.07803e-09 5.03473e-09 1.53642e-09 1.14778e-09 -8.64117e-10 -1.95875e-09
# precision: tgt 2.00e-03 max 8.52e-03 (426.2%) avg 1.28e-03 (63.8%)
-2.38929e-03 1.25375e-03 -8.60943e-04 1.27769e-03 -2.73262e-06 4.38195e-06 1.72572e-06 -2.72132e-06 1.61295e-06 4.50038e-06 2.13022e-09 -3.63054e-09 -2.48712e-09 4.36264e-09 4.40342e-09 -8.78257e-10 -2.66030e-09 -6.90040e-10 4.86408e-09 3.69284e-09
# precision: tgt 2.00e-03 max 3.51e-03 (175.6%) avg 7.27e-04 (36.4%)
2.22001e+00 -1.62894e-03 1.42093e-03 5.71979e-04 2.05316e-06 -1.54859e-07 -8.18439e-06 2.05359e-06 7.22468e-06 -2.42088e-06 -2.43061e-11 -6.40156e-10 5.47890e-09 2.99567e-10 -1.59470e-09 -9.92945e-09 4.03634e-10 5.43693e-09 8.42472e-09 -6.16728e-09

#tof2k_z4_q1
2 4 0 20
# precision: tgt 2.00e-03 max 4.98e-03 (249.2%) avg 5.51e-04 (27.5%)
6.98395e-01 -1.99354e-04 -6.73714e-04 6.02655e-03 9.69346e-07 1.76327e-06 1.48275e-06 8.36529e-07 -2.42356e-06 1.82616e-05 -8.26920e-10 -2.01556e-09 3.30287e-10 -1.29108e-09 2.03462e-09 2.57125e-09 -8.04315e-10 7.40514e-10 -2.48835e-09 1.89029e-08
# precision: tgt 2.00e-03 max 5.12e-03 (256.0%) avg 6.33e-04 (31.7%)
-2.62549e+00 2.17435e-04 3.74058e-04 -2.41894e-02 1.20314e-06 1.86652e-06 3.70553e-06 1.57835e-06 5.85193e-06 -7.30194e-05 -9.70320e-10 -1.35289e-09 1.36151e-09 -1.55084e-09 3.03183e-09 7.73742e-09 -1.08831e-09 2.09625e-09 1.08977e-08 -7.23824e-08
# precision: tgt 2.00e-03 max 3.49e-03 (174.5%) avg 5.52e-04 (27.6%)
6.72697e-01 -9.18694e-05 -2.18736e-04 -1.29447e-02 3.70707e-07 -6.90809e-07 -1.25650e-06 3.08678e-07 -2.42034e-06 -4.20647e-05 3.00241e-11 4.04710e-10 6.53479e-10 7.15815e-10 -6.72648e-10 -2.82028e-09 1.01472e-10 1.03247e-09 -4.36663e-09 -4.52454e-08

#tof2k_z4_q2
2 4 1 20
# precision: tgt 2.00e-03 max 3.84e-03 (192.1%) avg 4.67e-04 (23.4%)
-7.46648e-01 -1.43663e-03 9.58433e-04 -5.53293e-03 -1.35179e-06 1.77147e-06 -6.07381e-06 -7.21732e-07 4.38020e-06 -1.34391e-05 -1.49088e-09 1.71309e-09 -6.17628e-10 -1.18630e-09 2.77495e-09 -8.34872e-09 6.08113e-10 -6.15902e-10 5.45764e-09 -1.07855e-08
# precision: tgt 2.00e-03 max 4.40e-03 (220.1%) avg 4.91e-04 (24.5%)
-1.70863e+00 -1.41774e-04 1.23760e-04 -1.57597e-02 9.95896e-07 -1.51515e-06 -2.65192e-06 1.39951e-06 3.66034e-06 -4.76538e-05 6.74416e-10 -1.20187e-09 1.56901e-09 1.55039e-09 -1.97180e-09 -5.91104e-09 -1.14574e-09 1.65030e-09 6.85768e-09 -4.72546e-08
# precision: tgt 2.00e-03 max 3.88e-03 (194.1%) avg 5.16e-04 (25.8%)
1.90296e+00 6.71981e-04 -7.53160e-04 -2.03263e-03 6.03567e-07 1.20561e-07 4.68873e-06 8.04906e-07 -4.78622e-06 -9.50186e-06 -1.68893e-10 5.91785e-10 2.59443e-09 -2.56204e-10 -8.95115e-10 6.44627e-09 8.89509e-11 2.36308e-09 -6.96262e-09 -1.26971e-08

#tof2k_z4_q3
2 4 2 20
# precision: tgt 2.00e-03 max 4.20e-03 (210.0%) avg 6.14e-04 (30.7%)
1.99849e+00 3.03081e-04 4.25134e-04 1.82552e-02 -1.38344e-06 -1.43720e-06 4.70355e-06 -8.07387e-07 4.17207e-06 5.48134e-05 -1.26206e-09 -1.79662e-09 -9.52926e-10 -1.57708e-09 -1.12719e-09 8.08500e-09 -7.59622e-10 -2.88221e-10 7.07841e-09 5.42294e-08
# precision: tgt 2.00e-03 max 4.78e-03 (239.1%) avg 5.64e-04 (28.2%)
-2.79441e-01 -3.04645e-04 -6.19025e-04 -2.01337e-03 -7.10582e-07 -1.45311e-06 -4.82970e-07 -1.00289e-06 -1.30121e-06 -5.23328e-06 -5.87773e-10 -7.97969e-10 -1.11959e-09 -9.17236e-10 -2.91596e-09 1.03015e-09 -9.30793e-10 -8.82690e-10 -6.21885e-10 -5.20921e-09
# precision: tgt 2.00e-03 max 3.08e-03 (153.9%) avg 4.40e-04 (22.0%)
1.30655e+00 3.22942e-04 2.38393e-04 -7.08987e-03 1.30567e-07 -1.04971e-06 3.59657e-06 5.88735e-07 2.28500e-06 -2.42368e-05 -3.29967e-10 -1.28214e-09 1.70653e-09 -4.61558e-10 -1.08317e-09 5.76437e-09 8.66597e-11 1.86419e-09 3.75956e-09 -2.73115e-08

#tof2k_z4_q4
2 4 3 20
# precision: tgt 2.00e-03 max 4.46e-03 (223.0%) avg 6.69e-04 (33.4%)
-1.40075e+00 2.75905e-04 5.66284e-05 -1.29945e-02 1.15893e-06 -1.90731e-06 4.85622e-06 9.53509e-07 -1.78905e-06 -3.88294e-05 -7.16460e-10 2.07771e-09 8.98193e-10 -1.24232e-09 -2.37348e-09 8.16484e-09 6.31122e-10 1.34903e-09 -4.52944e-09 -3.79791e-08
# precision: tgt 2.00e-03 max 5.40e-03 (269.9%) avg 6.87e-04 (34.3%)
9.32926e-01 8.90579e-05 -2.86181e-04 9.05073e-03 -7.62110e-07 1.12734e-06 -8.22066e-07 -8.27081e-07 4.05719e-07 2.85129e-05 8.29842e-10 -8.39490e-10 -6.28899e-10 8.29049e-10 2.18840e-09 -2.51537e-09 -1.14165e-09 1.34803e-10 1.13148e-09 2.92761e-08
# precision: tgt 2.00e-03 max 3.86e-03 (193.1%) avg 5.02e-04 (25.1%)
2.04392e-01 -2.96820e-04 4.36253e-04 -1.75935e-02 3.09542e-07 6.07413e-07 -2.54301e-06 8.17163e-07 3.02068e-06 -5.72703e-05 -1.30210e-10 -4.55821e-10 1.28731e-10 2.70288e-10 9.81955e-10 -5.09042e-09 3.35174e-10 1.93009e-09 4.63694e-09 -6.17370e-08

#tof2k_z5_q1
2 5 0 20
# precision: tgt 2.00e-03 max 2.59e-03 (129.4%) avg 5.39e-04 (27.0%)
-1.52568e-01 -3.01861e-04 -2.69538e-04 -2.13032e-03 4.44265e-07 7.53517e-07 -5.20688e-07 3.73062e-07 -1.03266e-06 -8.74686e-06 -2.44681e-10 -8.76839e-10 4.07008e-10 -3.33231e-10 1.24426e-09 -1.13963e-09 -2.04317e-10 8.72958e-10 -6.90080e-10 -1.14096e-08
# precision: tgt 2.00e-03 max 3.47e-03 (173.7%) avg 5.17e-04 (25.8%)
3.71360e-01 -3.89958e-04 -4.20739e-04 3.57862e-03 7.26695e-07 1.19949e-06 -1.10452e-06 5.70829e-07 -8.83416e-07 1.22053e-05 -8.07348e-10 -1.53619e-09 -1.46363e-10 -1.43337e-09 4.50686e-10 -1.90339e-09 -4.27986e-10 4.17985e-11 -2.29931e-09 1.39554e-08
# precision: tgt 2.00e-03 max 2.19e-03 (109.7%) avg 6.23e-04 (31.2%)
2.17919e+00 -2.17717e-06 -1.22525e-05 1.55088e-03 7.11208e-08 -6.46357e-07 -8.39798e-07 8.00644e-08 -1.16233e-06 4.58750e-06 5.34137e-12 3.43376e-10 -4.96200e-10 6.33689e-10 -8.74348e-10 -2.74015e-09 1.61836e-10 2.30502e-10 -2.75491e-09 4.80411e-09

#tof2k_z5_q2
2 5 1 20
# precision: tgt 2.00e-03 max 2.91e-03 (145.5%) avg 4.67e-04 (23.4%)
3.47857e-01 -1.35411e-05 -2.36047e-05 3.81816e-03 -7.68867e-07 6.79235e-07 1.93138e-06 -1.16420e-07 -8.13812e-07 1.34052e-05 -6.85604e-10 7.30259e-10 -6.70333e-10 -2.17054e-10 1.35001e-09 4.08429e-09 -1.51501e-10 -5.04103e-10 -2.46069e-09 1.49332e-08
# precision: tgt 2.00e-03 max 2.36e-03 (118.0%) avg 5.17e-04 (25.8%)
4.88192e-01 5.04096e-04 -4.35386e-04 4.80985e-03 5.87263e-07 -1.00159e-06 2.43903e-06 6.45055e-07 -1.31452e-06 1.60534e-05 4.24299e-10 -7.77538e-10 9.34125e-10 1.14264e-09 -1.18845e-09 3.26501e-09 -6.27318e-10 5.03291e-10 -2.45859e-09 1.81291e-08
# precision: tgt 2.00e-03 max 2.04e-03 (102.0%) avg 5.59e-04 (27.9%)
2.04130e+00 3.99198e-05 -2.54734e-05 1.67058e-05 4.84213e-07 3.85798e-08 5.27453e-07 4.81887e-07 -2.90533e-07 -4.94386e-07 5.17449e-11 5.28927e-12 1.34352e-09 2.09388e-10 2.03771e-10 5.89936e-10 -6.50221e-11 7.05796e-10 -8.30628e-10 -6.67990e-10

#tof2k_z5_q3
2 5 2 20
# precision: tgt 2.00e-03 max 2.80e-03 (139.9%) avg 4.08e-04 (20.4%)
-1.99790e-01 -3.02333e-04 -3.48243e-04 -1.80170e-03 -7.73572e-07 -1.16073e-06 6.80640e-08 -6.37351e-07 -1.00923e-06 -5.99815e-06 -7.64987e-10 -1.31729e-09 -1.43242e-10 -1.31727e-09 -8.94900e-10 1.09410e-10 -6.16546e-10 -7.22698e-11 -1.39061e-09 -7.06501e-09
# precision: tgt 2.00e-03 max 3.06e-03 (152.9%) avg 4.29e-04 (21.4%)
9.84598e-02 -1.35341e-04 3.99296e-05 1.11652e-03 -2.85811e-07 -2.40746e-07 -6.52050e-07 -1.49528e-07 1.12056e-06 4.10919e-06 -1.06618e-10 2.51097e-11 -1.10911e-09 1.21912e-11 -1.12213e-09 5.08551e-11 -1.80832e-10 -1.40918e-10 2.06683e-09 4.55617e-09
# precision: tgt 2.00e-03 max 2.01e-03 (100.5%) avg 5.38e-04 (26.9%)
2.11017e+00 9.24537e-06 5.32556e-05 7.70742e-04 2.60789e-07 -4.34990e-07 8.97674e-07 4.95648e-07 6.65759e-07 1.87690e-06 6.60256e-11 -3.80025e-10 7.01250e-10 7.97857e-11 -1.02621e-09 1.89781e-09 1.91233e-10 9.44648e-10 1.50897e-09 1.55551e-09

#tof2k_z5_q4
2 5 3 20
# precision: tgt 2.00e-03 max 2.72e-03 (136.1%) avg 4.92e-04 (24.6%)
7.27133e-02 -1.86640e-04 2.15243e-04 5.08223e-04 3.21862e-07 -7.16397e-07 1.78414e-07 3.50615e-07 6.52060e-07 1.48080e-06 -1.37981e-10 8.60855e-10 8.25664e-11 -4.65663e-10 -9.58921e-10 -2.42266e-10 3.07943e-10 4.79747e-10 3.93235e-10 1.58636e-09
# precision: tgt 2.00e-03 max 2.83e-03 (141.4%) avg 4.81e-04 (24.1%)
-7.49918e-02 1.35282e-04 2.56813e-06 -7.59395e-04 -3.11308e-07 2.67633e-07 5.10745e-07 -2.93336e-07 1.10322e-06 -2.75418e-06 3.70420e-10 -3.56231e-10 -2.30185e-10 2.90918e-10 4.93446e-10 5.72000e-10 -5.37848e-10 4.56439e-10 1.31557e-09 -3.50990e-09
# precision: tgt 2.00e-03 max 2.25e-03 (112.7%) avg 4.73e-04 (23.6%)
2.12491e+00 7.33811e-05 -6.29350e-05 1.06774e-03 3.34652e-07 2.09253e-07 4.13883e-07 4.53089e-07 -3.44752e-07 3.70534e-06 -1.19795e-10 -1.04320e-10 -5.95994e-11 4.44650e-11 5.76048e-10 3.55210e-11 2.15266e-10 6.98200e-10 -5.62692e-10 4.97345e-09

#tof2k_z6_q1
2 6 0 20
# precision: tgt 2.00e-03 max 1.78e-03 (89.0%) avg 3.41e-04 (17.1%)
1.99076e-02 -1.40088e-04 -9.22752e-05 8.77201e-05 3.82118e-07 4.88574e-07 2.74150e-07 1.30282e-07 -3.34323e-07 1.57708e-07 -2.98328e-10 -7.67078e-10 2.71219e-10 -2.16913e-10 7.45817e-10 5.32984e-11 -5.96429e-11 4.31281e-10 4.02808e-11 2.59101e-10
# precision: tgt 2.00e-03 max 2.31e-03 (115.7%) avg 5.48e-04 (27.4%)
-9.52166e-03 4.27922e-05 -5.59520e-05 -9.15305e-05 -2.29148e-07 -1.44887e-07 -2.36255e-07 2.41168e-07 2.81855e-07 -6.75810e-07 2.54276e-10 5.44370e-10 1.34483e-10 -8.67653e-11 4.83422e-10 -1.94542e-10 -2.93436e-10 2.30913e-10 -1.01455e-10 -1.09294e-09
# precision: tgt 2.00e-03 max 1.20e-03 (59.9%) avg 1.86e-04 (9.3%)
2.04681e+00 -5.51831e-05 -3.82192e-05 -4.72248e-05 3.00952e-07 6.24221e-08 -1.96638e-07 3.43096e-07 -2.11573e-07 -8.54976e-07 2.87744e-11 3.76030e-11 1.34716e-10 6.02730e-11 3.09032e-10 -3.64376e-10 -5.83197e-11 1.80420e-10 -2.62147e-10 -7.06570e-10

#tof2k_z6_q2
2 6 1 20
# precision: tgt 2.00e-03 max 1.75e-03 (87.4%) avg 3.04e-04 (15.2%)
-3.03541e-02 -1.59932e-04 1.32590e-04 -2.03809e-04 -4.81973e-07 5.30279e-07 1.81925e-07 -3.04669e-07 3.20475e-07 -5.02040e-07 -4.83409e-10 6.65019e-10 -2.01418e-10 -3.98040e-10 7.49273e-10 1.09962e-10 2.74999e-10 -2.20639e-10 7.27595e-11 -7.17320e-10
# precision: tgt 2.00e-03 max 1.73e-03 (86.4%) avg 3.90e-04 (19.5%)
2.16136e-03 5.44575e-05 -5.65367e-05 -4.31365e-06 1.82355e-07 -2.37897e-07 1.65832e-07 1.77559e-07 3.92048e-07 -2.20646e-07 2.21297e-10 -1.77940e-10 2.47025e-10 2.93169e-10 -3.90289e-10 -1.63414e-10 -1.48016e-10 3.12390e-10 2.89187e-10 -2.27869e-10
# precision: tgt 2.00e-03 max 1.24e-03 (61.8%) avg 1.88e-04 (9.4%)
2.05179e+00 -3.15265e-06 7.51068e-06 9.77180e-05 1.93921e-07 2.13604e-07 4.26986e-07 2.16993e-07 -2.55232e-07 -2.05225e-07 -1.08675e-10 3.64178e-10 7.11522e-10 -2.85211e-10 -2.15227e-10 2.42757e-10 7.34525e-11 2.57915e-10 -4.56249e-10 1.50571e-10

#tof2k_z6_q3
2 6 2 20
# precision: tgt 2.00e-03 max 1.31e-03 (65.3%) avg 3.17e-04 (15.9%)
-1.10709e-02 -1.00684e-04 -9.60153e-05 -3.78272e-05 -3.46130e-07 -4.12876e-07 3.36034e-07 -2.65698e-07 -2.38539e-07 9.77000e-08 -3.95861e-10 -4.71487e-10 2.65686e-11 -4.84604e-10 -5.65178e-10 1.10324e-10 -2.21477e-10 -2.44259e-10 -1.54980e-11 1.17679e-10
# precision: tgt 2.00e-03 max 1.79e-03 (89.4%) avg 2.88e-04 (14.4%)
-2.00547e-03 -6.87055e-05 -9.32031e-05 1.01181e-04 -2.00147e-07 -4.31615e-07 5.95960e-09 -3.06824e-07 5.55615e-07 3.95092e-07 -1.58571e-10 -5.33779e-10 -1.10616e-10 -5.82115e-10 1.36955e-10 1.02364e-10 -3.18809e-10 1.42624e-10 1.97670e-10 4.98927e-10
# precision: tgt 2.00e-03 max 1.66e-03 (83.2%) avg 2.38e-04 (11.9%)
2.06244e+00 2.59543e-05 7.48656e-05 1.91888e-04 2.96647e-07 5.90271e-08 3.49332e-07 4.88686e-07 1.97036e-07 2.81756e-07 3.35584e-11 -1.16540e-10 5.60243e-10 2.82743e-10 3.30684e-11 2.51972e-10 2.81207e-10 2.94124e-10 3.65079e-10 8.37441e-10

#tof2k_z6_q4
2 6 3 20
# precision: tgt 2.00e-03 max 2.29e-03 (114.3%) avg 4.10e-04 (20.5%)
6.26774e-03 -9.91415e-05 8.30368e-05 -8.96411e-05 2.02455e-07 -4.27405e-07 4.58113e-07 1.32500e-07 1.61487e-07 -4.86446e-07 -3.00760e-11 6.24783e-10 8.55429e-11 -2.71262e-10 -4.47783e-10 1.37378e-10 1.17740e-10 1.89231e-10 -8.74582e-11 -6.53248e-10
# precision: tgt 2.00e-03 max 2.00e-03 (99.9%) avg 3.09e-04 (15.4%)
6.27645e-03 3.32071e-06 3.39962e-05 4.02759e-05 -1.51283e-07 -1.33510e-07 -3.51295e-08 7.04935e-08 5.63747e-07 1.46593e-07 2.87453e-10 -3.74740e-11 7.89787e-12 -2.87147e-10 1.25339e-10 -1.39581e-10 -3.67932e-11 3.63478e-10 2.93827e-11 1.69401e-10
# precision: tgt 2.00e-03 max 1.70e-03 (85.1%) avg 2.62e-04 (13.1%)
2.05745e+00 9.75114e-06 5.12019e-05 1.75819e-04 1.35355e-07 1.29688e-07 -1.12639e-07 3.87958e-07 3.76176e-07 9.94263e-08 1.42874e-10 -2.86308e-10 -7.29656e-11 1.83745e-10 -3.22864e-10 -3.06166e-10 1.82367e-10 5.52933e-10 2.32636e-10 6.85280e-10

#tof2k_z7_q1
2 7 0 20
# precision: tgt 2.00e-03 max 1.20e-03 (59.8%) avg 2.02e-04 (10.1%)
1.18812e-02 -9.13771e-05 -5.88658e-05 4.88104e-05 2.31633e-07 3.26491e-07 3.18768e-07 7.32786e-08 -2.49056e-07 6.94564e-08 -1.50583e-10 -5.17155e-10 2.01791e-10 -1.27602e-10 5.88523e-10 7.21453e-12 -1.98910e-11 3.42491e-10 7.72648e-11 1.74540e-10
# precision: tgt 2.00e-03 max 1.66e-03 (83.2%) avg 4.09e-04 (20.5%)
-5.73606e-03 5.09639e-05 -3.45262e-05 -4.48094e-05 -2.10361e-07 -1.44159e-07 -7.57979e-08 1.54584e-07 3.74828e-07 -4.42061e-07 2.36625e-10 4.68550e-10 5.93718e-11 -3.40705e-11 3.46430e-10 4.05950e-11 -1.64492e-10 1.93015e-10 2.39726e-12 -8.08609e-10
# precision: tgt 2.00e-03 max 1.01e-03 (50.7%) avg 1.55e-04 (7.7%)
2.04778e+00 -1.64400e-05 -1.44725e-06 1.89792e-05 2.39759e-07 -1.65346e-08 -1.85207e-09 2.71972e-07 -4.80465e-08 -4.23987e-07 3.24895e-11 3.86024e-11 -1.66918e-10 8.27524e-11 -6.05214e-11 -3.71352e-10 -2.57304e-11 -6.58211e-11 -2.79868e-10 -9.40473e-11

#tof2k_z7_q2
2 7 1 20
# precision: tgt 2.00e-03 max 9.86e-04 (49.3%) avg 1.90e-04 (9.5%)
-1.02713e-02 -7.25334e-05 5.09388e-05 -6.25321e-05 -2.09969e-07 1.94821e-07 2.63469e-07 -1.03334e-07 1.57922e-07 -5.44806e-09 -1.88304e-10 2.29956e-10 -1.09322e-10 -5.07171e-11 5.21432e-10 7.73672e-11 7.27103e-11 -1.14657e-10 -8.78435e-11 -4.90704e-11
# precision: tgt 2.00e-03 max 1.25e-03 (62.4%) avg 2.35e-04 (11.7%)
-3.58417e-03 2.07101e-05 -2.12094e-05 -4.58483e-05 1.01743e-07 -9.98271e-08 7.89320e-08 4.24786e-08 3.96302e-07 -4.24636e-07 1.56815e-10 -6.94435e-11 1.16058e-10 1.14436e-10 -2.09031e-10 -1.63405e-10 1.16373e-12 2.30026e-10 1.39807e-10 -6.79544e-10
# precision: tgt 2.00e-03 max 9.24e-04 (46.2%) avg 1.70e-04 (8.5%)
2.04530e+00 -2.91928e-05 3.48973e-05 4.68489e-05 1.70859e-07 1.87630e-07 1.60469e-07 1.80930e-07 -1.19980e-08 -1.92431e-07 -7.69187e-11 2.25805e-10 3.40862e-10 -2.01116e-10 1.40506e-10 1.10749e-10 6.25530e-11 -5.68306e-11 -3.36473e-10 3.24017e-10

#tof2k_z7_q3
2 7 2 20
# precision: tgt 2.00e-03 max 7.78e-04 (38.9%) avg 1.86e-04 (9.3%)
-8.92001e-03 -7.55814e-05 -7.33760e-05 -3.67200e-05 -2.22634e-07 -2.79155e-07 2.61804e-07 -2.01599e-07 -2.43332e-07 1.60984e-07 -2.34318e-10 -2.88526e-10 4.55179e-12 -3.27180e-10 -5.21332e-10 -7.44976e-11 -1.64424e-10 -2.30042e-10 -7.35518e-11 3.42096e-10
# precision: tgt 2.00e-03 max 1.47e-03 (73.3%) avg 1.86e-04 (9.3%)
-9.71280e-03 -5.97708e-05 -7.30699e-05 -2.52743e-05 -1.48794e-07 -3.22901e-07 -7.53273e-08 -1.95013e-07 4.68910e-07 -1.32710e-07 -1.02916e-10 -4.05661e-10 -1.30404e-10 -3.80380e-10 6.84975e-11 -3.29005e-11 -1.83289e-10 1.14238e-10 5.26550e-11 -2.72274e-10
# precision: tgt 2.00e-03 max 9.23e-04 (46.2%) avg 1.74e-04 (8.7%)
2.04546e+00 1.08661e-05 5.98941e-05 -4.03062e-05 2.93614e-07 1.19952e-07 1.09504e-07 4.46635e-07 2.60792e-08 -6.55010e-07 7.03178e-11 2.17245e-11 2.60940e-10 3.85557e-10 -2.22854e-10 8.06474e-11 2.49224e-10 3.75696e-11 3.22761e-10 -6.07486e-10

#tof2k_z7_q4
2 7 3 20
# precision: tgt 2.00e-03 max 1.56e-03 (78.1%) avg 2.83e-04 (14.2%)
8.98106e-03 -8.46325e-05 7.27524e-05 -5.13477e-05 1.23339e-07 -3.51946e-07 4.08583e-07 9.77636e-08 1.53162e-07 -3.97895e-07 6.13826e-11 4.49270e-10 1.22259e-10 -2.19012e-10 -4.78820e-10 9.92863e-11 4.64884e-11 2.56628e-10 -2.03966e-10 -6.17519e-10
# precision: tgt 2.00e-03 max 1.63e-03 (81.6%) avg 2.36e-04 (11.8%)
9.35565e-03 -2.06366e-05 5.87905e-05 5.56383e-05 -4.20136e-08 -2.83493e-07 4.11150e-08 1.49099e-07 5.38220e-07 3.09829e-07 1.50661e-10 1.77562e-10 -4.97952e-11 -4.96465e-10 1.83929e-10 -6.03592e-11 6.23780e-11 2.65539e-10 9.39530e-11 5.18206e-10
# precision: tgt 2.00e-03 max 1.26e-03 (63.0%) avg 2.25e-04 (11.2%)
2.04650e+00 2.87731e-05 1.12539e-05 7.02025e-05 1.18373e-07 1.79024e-07 2.35940e-08 2.54839e-07 2.29191e-07 -2.16352e-07 1.22018e-10 -2.96751e-10 -2.36123e-10 2.14322e-10 -8.02425e-11 -2.48329e-10 4.26944e-11 2.92011e-10 2.57219e-10 2.99617e-10

#tof2k_z8_q1
2 8 0 20
# precision: tgt 2.00e-03 max 1.43e-03 (71.3%) avg 1.48e-04 (7.4%)
1.32250e-02 -3.23168e-05 -1.82960e-05 2.36635e-04 9.51349e-08 1.66611e-07 5.50180e-07 1.98674e-08 -3.23647e-08 1.90230e-06 -1.13281e-10 -3.90176e-10 -4.03792e-10 -1.24133e-10 -1.32004e-10 -4.19032e-10 -3.08011e-11 -5.89296e-11 -1.35465e-10 4.82845e-09
# precision: tgt 2.00e-03 max 1.42e-03 (71.0%) avg 3.23e-04 (16.1%)
2.93936e-03 4.50166e-05 -1.96985e-05 1.24467e-04 -1.75236e-07 -1.12561e-07 4.42937e-08 9.27261e-08 5.18107e-07 8.99536e-07 1.70764e-10 2.81747e-10 -2.82571e-10 -1.26391e-10 -3.21525e-10 -4.35529e-10 -1.33088e-10 -2.88791e-10 -5.98420e-10 1.90541e-09
# precision: tgt 2.00e-03 max 1.04e-03 (51.9%) avg 1.41e-04 (7.0%)
2.04477e+00 -3.76176e-05 -1.82475e-05 -1.09472e-04 2.78741e-07 4.33757e-08 -1.68363e-07 2.91784e-07 -1.89735e-07 -1.70495e-06 -2.29982e-11 -5.90164e-11 -2.56282e-10 9.83608e-12 -1.13724e-10 -1.28815e-09 -4.52278e-11 -1.06098e-10 -1.00274e-09 -4.37255e-09

#tof2k_z8_q2
2 8 1 20
# precision: tgt 2.00e-03 max 1.30e-03 (64.8%) avg 1.65e-04 (8.3%)
-1.04607e-02 -6.06634e-06 -3.51942e-06 -2.39168e-04 -8.40479e-08 7.06303e-08 7.63639e-07 -1.92803e-08 -2.89733e-07 -2.13603e-06 -1.46838e-10 2.69446e-10 7.10245e-10 -1.30605e-10 -8.00668e-10 -1.33026e-10 6.29138e-11 6.01537e-10 1.72112e-10 -5.55267e-09
# precision: tgt 2.00e-03 max 9.35e-04 (46.7%) avg 1.27e-04 (6.3%)
1.68503e-03 2.88612e-05 -1.19748e-05 3.44257e-05 1.17692e-07 -1.20669e-07 6.34846e-08 1.84665e-09 5.03718e-07 1.32612e-07 1.49518e-10 -1.59796e-10 8.47455e-11 1.79146e-10 1.80051e-10 1.00334e-10 1.26849e-11 -1.45079e-10 -2.41403e-10 1.87491e-10
# precision: tgt 2.00e-03 max 1.12e-03 (55.9%) avg 1.79e-04 (8.9%)
2.04168e+00 -7.86962e-06 1.56965e-05 -9.32552e-05 1.99321e-07 9.32463e-08 2.88655e-07 2.27572e-07 -6.56956e-08 -1.42171e-06 -2.80167e-11 9.58851e-11 1.66812e-10 -9.19198e-11 1.29572e-10 8.80482e-10 -3.91952e-12 -1.41616e-10 -6.93541e-10 -3.39679e-09

#tof2k_z8_q3
2 8 2 20
# precision: tgt 2.00e-03 max 1.02e-03 (51.0%) avg 1.30e-04 (6.5%)
-9.11417e-03 -2.84124e-05 -4.03927e-05 -1.30584e-04 -8.95225e-08 -1.41509e-07 4.40670e-07 -1.19856e-07 -1.43755e-07 -7.08604e-07 -1.25163e-10 -1.82749e-10 3.79082e-10 -2.25531e-10 -3.85526e-11 -2.79612e-10 -9.83812e-11 -3.35361e-11 -3.46169e-10 -1.58427e-09
# precision: tgt 2.00e-03 max 1.26e-03 (63.1%) avg 1.25e-04 (6.3%)
-8.35428e-03 -4.14097e-05 -4.83229e-05 -5.21495e-05 -1.08704e-07 -2.77993e-07 5.53108e-08 -1.39393e-07 6.54140e-07 -6.17014e-07 -7.77820e-11 -3.97443e-10 6.28645e-11 -3.62569e-10 3.81174e-10 -3.45813e-11 -1.39967e-10 3.28266e-10 2.30579e-10 -1.72497e-09
# precision: tgt 2.00e-03 max 1.52e-03 (75.9%) avg 1.50e-04 (7.5%)
2.04947e+00 2.98492e-05 7.08689e-05 -2.10715e-05 3.51804e-07 2.39146e-07 5.44960e-08 4.72814e-07 -5.73812e-08 -5.61921e-07 1.87737e-10 2.72284e-10 -1.96537e-10 5.63327e-10 -6.37830e-10 8.66798e-10 2.88919e-10 -2.08998e-10 6.99899e-10 -1.19417e-09

#tof2k_z8_q4
2 8 3 20
# precision: tgt 2.00e-03 max 1.37e-03 (68.7%) avg 2.17e-04 (10.9%)
1.36291e-02 -5.20464e-05 5.43438e-05 1.06696e-04 4.89937e-08 -2.58788e-07 5.47443e-07 5.69687e-08 1.05657e-07 8.40228e-07 5.23769e-11 3.94874e-10 -3.45958e-10 -2.02454e-10 -3.92672e-11 -2.48822e-10 1.08009e-11 1.39672e-10 2.83874e-11 2.17550e-09
# precision: tgt 2.00e-03 max 1.65e-03 (82.7%) avg 2.04e-04 (10.2%)
7.86895e-03 -5.00520e-05 8.24928e-05 -3.55315e-05 4.20573e-09 -3.11456e-07 -2.73204e-07 1.61053e-07 8.55218e-07 -7.98836e-07 1.26483e-10 6.79961e-11 3.72869e-10 -3.76304e-10 -7.49375e-10 3.51931e-11 3.17602e-11 6.91366e-10 7.16924e-12 -2.14780e-09
# precision: tgt 2.00e-03 max 1.07e-03 (53.4%) avg 2.03e-04 (10.2%)
2.04003e+00 1.43812e-05 5.13022e-08 -8.49127e-05 1.44738e-07 1.78851e-07 -1.24752e-07 1.87274e-07 2.51421e-07 -1.52107e-06 6.89645e-11 -2.41503e-10 -3.77966e-10 2.03313e-10 1.66892e-10 -1.28114e-09 -3.28261e-11 9.27453e-11 9.15257e-10 -3.89560e-09

#tof2k_z9_q1
2 9 0 20
# precision: tgt 2.00e-03 max 1.17e-03 (58.4%) avg 1.97e-04 (9.9%)
5.45328e-03 -4.81667e-05 -3.57539e-05 2.26638e-05 1.49534e-07 2.19916e-07 4.47817e-07 6.68513e-08 -1.33435e-07 1.17934e-07 -1.56115e-10 -3.76190e-10 -6.93122e-11 -1.90584e-10 2.29029e-10 -1.60640e-10 -5.17840e-11 1.51845e-10 -3.76993e-11 4.12916e-10
# precision: tgt 2.00e-03 max 1.29e-03 (64.7%) avg 3.02e-04 (15.1%)
5.59129e-03 -1.44597e-05 -6.88401e-05 2.17397e-05 -1.93754e-08 1.58758e-07 1.34736e-08 2.11933e-07 5.23016e-07 7.92555e-08 5.79381e-11 -3.89457e-11 -9.27068e-11 -3.76110e-10 1.84928e-11 4.13683e-12 -2.18893e-10 -1.43759e-10 -9.09450e-11 3.28259e-10
# precision: tgt 2.00e-03 max 1.55e-03 (77.7%) avg 1.73e-04 (8.7%)
2.05299e+00 -8.86787e-05 -6.35785e-05 -6.60087e-05 5.36456e-07 4.40036e-07 4.50433e-07 4.81840e-07 3.25806e-07 -5.89811e-07 -3.36203e-10 -6.67043e-10 -6.44049e-10 -5.46112e-10 -6.28289e-10 5.08963e-10 -2.43640e-10 -4.28583e-10 4.22523e-10 3.26032e-10

#tof2k_z9_q2
2 9 1 20
# precision: tgt 2.00e-03 max 9.80e-04 (49.0%) avg 2.02e-04 (10.1%)
-1.16911e-02 -8.36317e-05 7.03251e-05 -3.82917e-05 -2.20884e-07 3.43406e-07 3.39137e-07 -1.51541e-07 7.05953e-08 7.80879e-08 -1.87661e-10 4.46203e-10 5.18663e-11 -3.27195e-10 2.27536e-10 -1.37580e-10 1.10794e-10 6.16496e-11 5.35979e-11 4.94630e-10
# precision: tgt 2.00e-03 max 9.97e-04 (49.8%) avg 1.42e-04 (7.1%)
7.13283e-03 6.75671e-05 -5.98668e-05 2.63821e-05 1.94536e-07 -3.28186e-07 8.85296e-08 1.24917e-07 4.38355e-07 -4.36748e-08 2.04742e-10 -3.88251e-10 3.61253e-11 3.94058e-10 -5.18152e-11 6.85286e-11 -9.12180e-11 2.86449e-12 -8.60776e-11 -3.09997e-10
# precision: tgt 2.00e-03 max 1.54e-03 (76.8%) avg 2.00e-04 (10.0%)
2.04749e+00 2.21462e-05 -1.81813e-05 -6.32956e-05 3.69084e-07 -1.92297e-07 -2.33025e-07 3.63075e-07 2.76910e-07 -6.52162e-07 1.90461e-10 -3.58396e-10 -2.64765e-10 2.98305e-10 5.35726e-10 -4.12005e-10 -1.45254e-10 -3.67018e-10 1.58472e-10 -4.65847e-10

#tof2k_z9_q3
2 9 2 20
# precision: tgt 2.00e-03 max 7.78e-04 (38.9%) avg 1.72e-04 (8.6%)
-7.65684e-03 -4.39051e-05 -5.32759e-05 -3.57654e-05 -9.90328e-08 -2.16762e-07 3.73874e-07 -1.49965e-07 -8.74311e-08 9.88725e-08 -7.25439e-11 -2.15580e-10 1.10743e-10 -3.04294e-10 -2.14648e-10 -2.76088e-11 -1.19670e-10 2.23929e-13 -1.78556e-11 4.52240e-10
# precision: tgt 2.00e-03 max 1.16e-03 (57.8%) avg 1.34e-04 (6.7%)
-9.18745e-03 -5.70090e-05 -7.02597e-05 -2.88573e-07 -1.06618e-07 -3.16311e-07 -1.24218e-07 -1.36712e-07 3.69019e-07 2.37139e-07 -4.66440e-11 -3.56017e-10 -1.30879e-10 -3.19536e-10 -2.00516e-10 1.82084e-11 -7.38953e-11 -4.69576e-11 1.16839e-10 9.27122e-10
# precision: tgt 2.00e-03 max 9.49e-04 (47.4%) avg 1.76e-04 (8.8%)
2.05837e+00 1.15053e-04 1.41357e-04 -5.88235e-05 6.48731e-07 7.04673e-07 -2.64533e-07 6.56479e-07 -2.60883e-07 -5.70019e-07 4.88213e-10 9.03605e-10 -2.62693e-10 1.07295e-09 -5.38493e-10 -6.59060e-10 4.32486e-10 -2.57387e-10 -3.08327e-10 7.62196e-11

#tof2k_z9_q4
2 9 3 20
# precision: tgt 2.00e-03 max 1.30e-03 (65.0%) avg 2.51e-04 (12.6%)
1.18518e-02 -8.00030e-05 7.08143e-05 5.87497e-06 1.43951e-07 -3.53957e-07 4.91708e-07 9.36486e-08 1.13668e-07 6.10336e-09 -3.50700e-11 4.95115e-10 -1.23670e-10 -3.13630e-10 -1.55442e-10 -9.62592e-11 2.85081e-11 1.73487e-10 -5.87646e-11 9.30610e-11
# precision: tgt 2.00e-03 max 1.53e-03 (76.7%) avg 1.99e-04 (9.9%)
6.55589e-04 1.25623e-05 1.17047e-05 4.97826e-06 -9.51800e-08 -5.40960e-08 -3.79701e-08 3.96481e-08 5.28026e-07 -8.98334e-08 1.56450e-10 -1.61228e-10 1.40040e-10 -1.69874e-10 -1.88679e-10 2.78341e-10 -3.93874e-12 2.43451e-10 -3.22989e-10 7.28910e-11
# precision: tgt 2.00e-03 max 1.01e-03 (50.7%) avg 2.34e-04 (11.7%)
2.04857e+00 -4.14436e-05 3.94611e-05 -3.74022e-05 3.87971e-07 -1.85266e-07 3.20322e-07 3.27765e-07 -1.73619e-07 -5.82935e-07 -1.99770e-10 2.79112e-10 -5.16364e-10 -2.64386e-10 3.94242e-10 3.81392e-10 1.01224e-10 -2.03974e-10 -3.64203e-10 6.85858e-11

#tofext2k_z0_q1
3 0 0 20
# precision: tgt 2.00e-03 max 4.05e-03 (202.3%) avg 4.01e-04 (20.1%)
2.53479e+00 -6.20361e-03 -5.64765e-03 8.41481e-03 4.46479e-06 1.16305e-05 -1.22813e-05 4.18166e-06 -1.04636e-05 1.06622e-05 -8.22825e-10 -3.95802e-09 6.55822e-09 -6.20121e-09 1.16991e-08 -5.26925e-09 3.54434e-10 4.87253e-09 -5.16086e-09 4.87656e-09
# precision: tgt 2.00e-03 max 3.81e-03 (190.4%) avg 5.69e-04 (28.5%)
1.94247e+00 -5.33053e-03 -5.05674e-03 6.11374e-03 9.68092e-06 1.83267e-05 -1.85046e-06 7.89594e-06 -2.14622e-06 1.08090e-05 -5.97830e-09 -1.95585e-08 1.06528e-09 -1.62442e-08 1.39028e-09 -7.81564e-10 -5.78913e-09 7.30437e-10 -6.11020e-10 6.61531e-09
# precision: tgt 2.00e-03 max 5.74e-03 (287.0%) avg 4.11e-04 (20.6%)
1.45166e+00 5.03963e-06 -1.07067e-03 -4.99783e-03 -5.35930e-06 -6.97064e-06 -8.15467e-06 -3.11370e-06 -9.99816e-06 -1.52753e-05 2.66710e-09 8.02660e-09 -2.07504e-09 6.11009e-09 6.23949e-10 -8.41426e-09 1.80104e-09 -7.95302e-11 -9.19148e-09 -1.23205e-08

#tofext2k_z0_q2
3 0 1 20
# precision: tgt 2.00e-03 max 4.06e-03 (202.8%) avg 4.13e-04 (20.7%)
-1.55020e+00 -4.03282e-03 4.20100e-03 -4.45857e-03 -3.09095e-06 9.66908e-06 -6.30218e-06 -3.77757e-06 6.26738e-06 -5.39639e-06 -1.93968e-10 1.68766e-09 -5.82495e-09 -4.24751e-09 1.18931e-08 1.37230e-10 -8.77410e-10 -5.77727e-09 6.88449e-10 -3.00490e-09
# precision: tgt 2.00e-03 max 3.79e-03 (189.5%) avg 5.50e-04 (27.5%)
5.68619e-01 3.00147e-03 -2.85543e-03 4.73024e-04 8.68232e-06 -1.60669e-05 -4.84281e-06 7.07687e-06 4.11464e-06 3.13648e-06 5.81346e-09 -1.90717e-08 -4.08538e-10 1.54946e-08 1.91698e-09 -3.93720e-09 -5.41248e-09 9.14556e-11 4.00740e-09 3.11955e-09
# precision: tgt 2.00e-03 max 4.85e-03 (242.3%) avg 4.29e-04 (21.4%)
-2.61669e-01 -1.56509e-03 3.90552e-04 -1.30912e-02 -3.92863e-06 7.05987e-06 2.08095e-06 -3.31648e-06 -5.65989e-06 -2.81949e-05 2.08346e-10 3.32769e-09 -4.64301e-09 -3.23231e-09 5.42467e-09 5.37925e-09 9.61080e-10 -2.44024e-09 -7.89127e-09 -1.99045e-08

#tofext2k_z0_q3
3 0 2 20
# precision: tgt 2.00e-03 max 3.63e-03 (181.4%) avg 5.80e-04 (29.0%)
-3.82112e+00 -8.44051e-03 -9.07677e-03 -1.58967e-02 -1.43772e-05 -2.24387e-05 -1.10242e-05 -1.40601e-05 -1.38854e-05 -2.68888e-05 -8.56406e-09 -2.11030e-08 -8.37334e-09 -2.29792e-08 -3.33323e-09 -7.43689e-09 -6.89048e-09 -7.72433e-09 -1.14314e-08 -1.43261e-08
# precision: tgt 2.00e-03 max 5.09e-03 (254.6%) avg 7.35e-04 (36.7%)
-3.58071e+00 1.66965e-03 -2.36099e-03 -2.37226e-02 -4.61424e-06 -4.93621e-06 1.02353e-05 -8.29247e-06 -3.08592e-06 -5.16914e-05 1.68066e-09 -6.61156e-09 -7.88068e-09 -4.86545e-09 1.02552e-09 8.83842e-09 -5.45063e-09 -9.05469e-09 -2.18012e-09 -3.48863e-08
# precision: tgt 2.00e-03 max 3.32e-03 (165.8%) avg 4.63e-04 (23.2%)
-5.87875e+00 -2.63683e-03 5.53957e-05 -4.92066e-02 -5.73006e-06 4.61294e-06 -1.31321e-05 -2.39210e-06 -5.57267e-06 -9.44608e-05 8.56960e-10 5.01798e-09 -1.43271e-08 7.71133e-09 -3.81523e-09 -1.04909e-08 3.37433e-09 -1.23080e-08 -3.94733e-09 -5.76107e-08

#tofext2k_z0_q4
3 0 3 20
# precision: tgt 2.00e-03 max 4.86e-03 (243.0%) avg 8.01e-04 (40.1%)
4.92837e+00 -1.22743e-02 1.16211e-02 1.93608e-02 1.99508e-05 -3.20281e-05 -1.57275e-05 1.75650e-05 1.54811e-05 3.23918e-05 -1.18658e-08 3.04689e-08 9.86538e-09 -3.05358e-08 -5.27654e-09 -1.09016e-08 8.27576e-09 8.55424e-09 1.21499e-08 1.73345e-08
# precision: tgt 2.00e-03 max 5.88e-03 (294.1%) avg 7.98e-04 (39.9%)
-4.23168e+00 3.04258e-03 -5.34457e-03 -2.41200e-02 -1.26635e-05 1.51832e-05 -4.36774e-06 -1.19063e-05 -6.41483e-06 -5.05603e-05 2.99296e-09 -1.69694e-08 -1.19047e-08 1.13139e-08 2.74624e-09 -5.85513e-09 -7.15190e-09 -1.05624e-08 -3.77080e-09 -3.35053e-08
# precision: tgt 2.00e-03 max 3.42e-03 (171.2%) avg 5.22e-04 (26.1%)
-5.48213e+00 2.96593e-03 -9.52860e-04 -4.62797e-02 -8.72588e-06 5.74502e-08 9.76310e-06 -4.83116e-06 -5.06618e-06 -8.95805e-05 1.28699e-09 3.17840e-10 -1.52069e-08 -4.06984e-09 4.88041e-09 6.59509e-09 2.50708e-09 -1.39199e-08 -2.55605e-09 -5.51035e-08

#tofext2k_z1_q1
3 1 0 20
# precision: tgt 2.00e-03 max 4.56e-03 (227.8%) avg 6.32e-04 (31.6%)
-1.12788e+00 -4.67398e-03 -5.23533e-03 -1.14322e-02 7.40558e-06 1.29518e-05 -4.91733e-06 6.96228e-06 -8.13076e-06 -2.59602e-05 -1.15014e-09 -4.31269e-09 1.20884e-08 -5.21182e-09 1.58947e-08 3.91460e-09 4.40175e-10 1.17660e-08 -4.56734e-10 -1.77459e-08
# precision: tgt 2.00e-03 max 5.51e-03 (275.6%) avg 6.41e-04 (32.1%)
1.61750e-01 1.86404e-04 1.76899e-03 3.35810e-03 9.69055e-06 1.31076e-05 1.57141e-05 7.49738e-06 2.05244e-05 1.76695e-05 -4.14263e-09 -1.45240e-08 6.57022e-09 -1.25512e-08 -4.54389e-10 1.71529e-08 -4.58640e-09 3.40634e-09 2.10467e-08 1.84273e-08
# precision: tgt 2.00e-03 max 5.29e-03 (264.3%) avg 4.14e-04 (20.7%)
-3.60228e-01 4.51324e-03 5.09933e-03 -9.64565e-03 -2.26798e-06 -4.18907e-06 1.36676e-05 -1.16739e-06 1.73491e-05 -1.10664e-05 1.53741e-09 5.21786e-09 9.09333e-10 4.03347e-09 1.25257e-09 1.43712e-08 1.27711e-09 1.95893e-09 1.87097e-08 -5.88683e-10

#tofext2k_z1_q2
3 1 1 20
# precision: tgt 2.00e-03 max 4.08e-03 (204.0%) avg 5.53e-04 (27.6%)
6.22456e-01 -5.90463e-03 6.76532e-03 9.44405e-03 -7.83446e-06 1.27319e-05 -1.04398e-05 -7.14517e-06 1.48632e-05 2.48606e-05 -1.30971e-09 3.58374e-09 -1.32577e-08 -4.62311e-09 1.70376e-08 -1.32009e-09 -4.63795e-10 -1.25897e-08 7.00420e-09 1.90563e-08
# precision: tgt 2.00e-03 max 5.25e-03 (262.7%) avg 6.01e-04 (30.1%)
1.14121e+00 1.69898e-05 1.63785e-03 9.06867e-03 9.09301e-06 -1.31572e-05 -1.45930e-05 7.28625e-06 1.99465e-05 2.88480e-05 3.65312e-09 -1.31823e-08 6.79614e-09 1.08257e-08 -2.79288e-09 -1.73238e-08 -3.95856e-09 4.94775e-09 2.23777e-08 2.64136e-08
# precision: tgt 2.00e-03 max 4.52e-03 (226.2%) avg 3.85e-04 (19.2%)
2.48121e-01 -2.28960e-03 1.73560e-03 -8.59715e-03 2.72063e-07 7.26725e-07 -8.04821e-06 4.61137e-07 6.35574e-06 -1.31423e-05 -5.59429e-12 2.08926e-09 2.80104e-09 -1.48519e-09 -2.94293e-09 -9.65365e-09 6.31665e-10 3.12961e-09 7.94630e-09 -4.84782e-09

#tofext2k_z1_q3
3 1 2 20
# precision: tgt 2.00e-03 max 5.11e-03 (255.6%) avg 6.04e-04 (30.2%)
-2.35539e+00 -2.03119e-03 -1.99993e-03 -1.47272e-02 -1.07645e-05 -1.55704e-05 8.04770e-06 -1.18700e-05 9.00089e-06 -3.70070e-05 -4.22807e-09 -1.12025e-08 -1.16768e-08 -1.31755e-08 -7.59040e-09 1.35537e-08 -3.31675e-09 -1.30932e-08 1.43985e-08 -2.97983e-08
# precision: tgt 2.00e-03 max 5.87e-03 (293.4%) avg 5.71e-04 (28.5%)
-2.61772e-01 -2.77014e-03 -2.79738e-03 -7.13272e-04 -3.73201e-06 -1.71537e-06 -9.92987e-06 -4.29178e-06 -9.16114e-06 1.69046e-06 1.24281e-09 -1.62143e-09 -9.18158e-09 -5.18431e-10 -1.95247e-09 -9.10179e-09 -2.06113e-09 -7.31816e-09 -7.87700e-09 4.88629e-09
# precision: tgt 2.00e-03 max 3.72e-03 (185.9%) avg 5.14e-04 (25.7%)
2.71460e+00 1.23819e-03 2.93201e-03 3.90917e-03 3.61318e-06 4.22475e-06 1.69642e-06 5.65871e-06 6.76640e-06 8.98099e-06 2.78384e-10 3.24863e-09 5.77010e-09 5.18159e-09 -7.28345e-10 2.31073e-09 2.39079e-09 6.39756e-09 7.14469e-09 6.04131e-09

#tofext2k_z1_q4
3 1 3 20
# precision: tgt 2.00e-03 max 6.39e-03 (319.3%) avg 7.57e-04 (37.8%)
1.42394e+00 -3.99987e-03 4.04037e-03 6.87233e-03 1.60001e-05 -2.46972e-05 1.04947e-05 1.51627e-05 -9.11047e-06 2.16412e-05 -7.01867e-09 1.93934e-08 1.36693e-08 -1.91131e-08 -1.11102e-08 1.79172e-08 4.05373e-09 1.51949e-08 -1.63934e-08 2.03364e-08
# precision: tgt 2.00e-03 max 5.90e-03 (295.2%) avg 6.51e-04 (32.6%)
3.44422e-01 4.40936e-03 -2.80921e-03 3.99169e-03 -8.74044e-06 7.93197e-06 8.01221e-06 -5.93044e-06 -3.81233e-06 9.63761e-06 2.10005e-09 -8.38740e-09 -1.09555e-08 4.14980e-09 3.93749e-09 5.35774e-09 -2.74695e-09 -7.62525e-09 -1.23633e-09 8.56108e-09
# precision: tgt 2.00e-03 max 3.71e-03 (185.5%) avg 5.07e-04 (25.4%)
2.15925e+00 -3.27187e-04 2.14988e-03 1.73240e-03 9.53636e-07 8.70023e-07 -3.61919e-06 4.19325e-06 8.33050e-06 3.98867e-06 1.54417e-09 -1.41146e-09 5.23985e-09 -1.18708e-09 2.04735e-09 -5.45951e-09 1.35376e-09 7.27399e-09 9.17971e-09 1.79370e-09

#tofext2k_z10_q1
3 10 0 20
# precision: tgt 2.00e-03 max 1.03e-03 (51.3%) avg 7.63e-05 (3.8%)
-2.59627e-02 1.37015e-04 1.69008e-04 -3.11272e-05 -2.38176e-07 -6.16039e-07 8.29005e-07 -3.58872e-07 3.07026e-07 -1.84628e-09 1.48888e-10 4.88455e-10 -7.11695e-10 7.14801e-10 -6.34631e-10 -5.55640e-11 2.34254e-10 -6.03421e-10 -4.51122e-11 -3.10280e-10
# precision: tgt 2.00e-03 max 3.21e-03 (160.6%) avg 7.13e-05 (3.6%)
-3.84627e-02 3.06018e-04 2.01694e-04 9.97235e-05 -7.64604e-07 -1.07698e-06 -6.23664e-08 -3.97478e-07 3.45117e-07 -7.62967e-08 5.98878e-10 1.40858e-09 -3.57297e-10 8.50320e-10 2.53552e-10 1.46007e-10 2.94231e-10 -2.17666e-10 1.02609e-10 -1.59933e-10
# precision: tgt 2.00e-03 max 5.05e-03 (252.6%) avg 9.82e-05 (4.9%)
2.10475e+00 -3.59671e-04 -2.94086e-04 4.95487e-04 9.24330e-07 1.25020e-06 -1.73630e-06 7.54609e-07 -1.73827e-06 -7.23709e-07 -4.11429e-10 -1.25636e-09 1.69796e-09 -1.01507e-09 3.77923e-09 1.75408e-09 -2.86571e-10 1.30732e-09 4.59502e-10 4.64508e-11

#tofext2k_z10_q2
3 10 1 20
# precision: tgt 2.00e-03 max 8.57e-04 (42.9%) avg 4.13e-05 (2.1%)
-4.38071e-02 -2.63559e-04 2.23274e-04 1.95670e-05 -5.30187e-07 9.73144e-07 7.78081e-07 -3.72923e-07 -3.06878e-07 -4.13038e-08 -3.30898e-10 1.06477e-09 7.13062e-10 -8.03546e-10 -5.69585e-10 -1.59593e-10 2.03407e-10 6.04695e-10 1.32073e-10 2.76041e-10
# precision: tgt 2.00e-03 max 3.24e-03 (162.1%) avg 6.79e-05 (3.4%)
-5.26499e-02 -3.07667e-04 2.87205e-04 6.08370e-05 -5.85222e-07 1.16807e-06 -1.19607e-08 -5.36566e-07 4.76995e-07 1.19913e-08 -3.40076e-10 1.18705e-09 -3.85431e-10 -1.07025e-09 8.10060e-11 1.22229e-12 3.32863e-10 -3.00627e-10 -3.15317e-11 -8.25131e-12
# precision: tgt 2.00e-03 max 5.05e-03 (252.3%) avg 1.21e-04 (6.1%)
2.15307e+00 6.20505e-04 -5.76919e-04 2.71064e-04 1.43392e-06 -2.37473e-06 9.73043e-07 1.27755e-06 -9.98052e-07 -9.43114e-07 7.48919e-10 -2.37117e-09 1.04538e-09 2.14226e-09 -2.21776e-09 -2.04065e-09 -5.81584e-10 8.04503e-10 6.96742e-10 -1.11957e-09

#tofext2k_z10_q3
3 10 2 20
# precision: tgt 2.00e-03 max 1.46e-03 (72.8%) avg 8.91e-05 (4.5%)
4.74028e-02 3.62566e-04 2.84687e-04 -1.18947e-04 8.86301e-07 1.31822e-06 2.05647e-07 5.18401e-07 -1.98904e-07 -4.20343e-08 7.18498e-10 1.54708e-09 1.18233e-10 1.14140e-09 -4.38311e-10 -5.79440e-11 2.94462e-10 1.70579e-10 2.04617e-11 -3.16642e-10
# precision: tgt 2.00e-03 max 2.94e-03 (147.1%) avg 1.09e-04 (5.5%)
8.97265e-02 7.21160e-04 5.33476e-04 -2.14414e-05 1.87261e-06 2.51615e-06 6.31944e-08 1.05613e-06 5.51536e-07 9.90469e-09 1.58459e-09 2.99829e-09 3.60598e-10 2.30896e-09 1.91180e-10 4.34452e-11 6.63777e-10 4.38302e-10 7.69719e-11 -2.62308e-10
# precision: tgt 2.00e-03 max 4.45e-03 (222.7%) avg 5.96e-05 (3.0%)
2.03147e+00 -1.38684e-04 -9.54511e-05 2.20586e-04 -1.00805e-07 -5.36748e-07 7.55171e-07 -1.56223e-08 8.01157e-07 -8.38059e-07 -2.41155e-10 -6.66100e-10 8.04194e-10 -5.31944e-10 1.78197e-09 -2.04806e-09 -1.81286e-10 6.36681e-10 -6.73076e-10 3.44016e-10

#tofext2k_z10_q4
3 10 3 20
# precision: tgt 2.00e-03 max 1.61e-03 (80.4%) avg 1.81e-04 (9.0%)
5.47214e-02 -4.02844e-04 1.21717e-04 2.16147e-04 9.18284e-07 -9.38675e-07 -1.88782e-07 -2.68827e-07 5.99408e-07 -4.27732e-08 -6.41446e-10 1.37221e-09 3.11817e-10 -1.40377e-10 -1.24651e-09 -1.93685e-11 -5.53312e-10 1.57497e-10 -3.68553e-11 -5.66607e-10
# precision: tgt 2.00e-03 max 3.57e-03 (178.7%) avg 2.86e-04 (14.3%)
-3.83497e-01 2.38828e-03 -1.96149e-03 8.05613e-06 -4.82372e-06 8.40022e-06 -2.12996e-07 -3.09331e-06 6.58534e-07 1.03257e-08 3.13139e-09 -8.97693e-09 5.19294e-10 6.86044e-09 -4.05947e-10 -4.17638e-11 -1.46483e-09 5.32206e-10 -4.50430e-11 1.03301e-10
# precision: tgt 2.00e-03 max 4.02e-03 (200.8%) avg 1.05e-04 (5.2%)
1.98173e+00 4.31365e-04 -3.87440e-04 4.63487e-04 -7.21451e-07 1.77309e-06 -1.64982e-06 -5.66832e-07 1.65466e-06 -8.00135e-07 6.80391e-10 -1.98497e-09 1.66786e-09 1.73764e-09 -3.60340e-09 1.93056e-09 -5.10852e-10 1.28838e-09 -5.31830e-10 8.31969e-11

#tofext2k_z11_q1
3 11 0 20
# precision: tgt 2.00e-03 max 1.09e-03 (54.5%) avg 9.26e-05 (4.6%)
-5.25627e-02 2.89876e-04 3.00447e-04 -8.35547e-06 -4.93717e-07 -1.18532e-06 7.52242e-07 -5.72438e-07 2.39142e-07 1.77797e-08 2.43792e-10 1.09879e-09 -6.46910e-10 1.16121e-09 -5.13491e-10 -4.52791e-11 3.58347e-10 -5.38623e-10 -4.02159e-11 5.02860e-11
# precision: tgt 2.00e-03 max 2.22e-03 (111.1%) avg 5.07e-05 (2.5%)
-2.44193e-02 1.88204e-04 1.29150e-04 -4.95847e-05 -4.75807e-07 -6.83314e-07 4.28948e-07 -2.47250e-07 8.93375e-07 1.51720e-08 3.97207e-10 8.76810e-10 -7.58544e-10 5.59696e-10 -9.02921e-10 -1.87936e-11 1.56693e-10 -6.94387e-10 -4.39514e-12 -8.48618e-11
# precision: tgt 2.00e-03 max 5.11e-03 (255.4%) avg 1.59e-04 (7.9%)
2.17660e+00 -7.63599e-04 -7.11848e-04 -9.40404e-05 1.64070e-06 2.93168e-06 3.13858e-07 1.52823e-06 3.70458e-07 -8.66182e-07 -8.04354e-10 -2.90587e-09 -3.65088e-10 -2.66206e-09 -8.61090e-10 2.01006e-09 -7.33605e-10 -2.89795e-10 6.83535e-10 1.66633e-10

#tofext2k_z11_q2
3 11 1 20
# precision: tgt 2.00e-03 max 1.09e-03 (54.7%) avg 2.91e-05 (1.5%)
-2.65667e-02 -1.59579e-04 1.39051e-04 3.26049e-05 -3.46451e-07 5.81525e-07 8.41443e-07 -2.36082e-07 -3.21435e-07 -1.08277e-08 -2.55919e-10 6.21755e-10 7.42877e-10 -5.00330e-10 -6.90120e-10 -1.58870e-11 1.19042e-10 5.95291e-10 3.86988e-11 8.75527e-12
# precision: tgt 2.00e-03 max 2.08e-03 (104.2%) avg 7.32e-05 (3.7%)
-4.59965e-02 -2.46841e-04 2.61994e-04 -8.11978e-05 -4.23430e-07 1.00393e-06 -5.54320e-07 -4.86645e-07 1.00554e-06 4.13346e-08 -2.27192e-10 9.22686e-10 -8.79604e-10 -9.98583e-10 1.16280e-09 3.33389e-11 2.65540e-10 -7.87969e-10 1.58609e-11 -4.30267e-10
# precision: tgt 2.00e-03 max 5.01e-03 (250.3%) avg 7.15e-05 (3.6%)
2.06914e+00 1.65761e-04 -1.06017e-04 -2.15180e-04 6.59166e-07 -5.68200e-07 -7.59996e-07 4.44187e-07 8.08161e-07 -7.89836e-07 3.57821e-10 -7.02516e-10 -8.09060e-10 4.54790e-10 1.78181e-09 -1.89206e-09 -1.33018e-10 -6.49966e-10 5.72859e-10 5.20109e-11

#tofext2k_z11_q3
3 11 2 20
# precision: tgt 2.00e-03 max 1.14e-03 (57.2%) avg 2.13e-04 (10.6%)
-1.38059e-01 -6.84326e-04 -7.77211e-04 -7.75277e-05 -1.01366e-06 -2.83427e-06 3.73661e-07 -1.38463e-06 -8.93608e-08 -1.30558e-07 -3.67521e-10 -2.42246e-09 3.34543e-10 -2.78051e-09 -2.44591e-10 -2.07157e-10 -7.32044e-10 2.57822e-10 -1.50581e-10 4.84390e-10
# precision: tgt 2.00e-03 max 2.79e-03 (139.3%) avg 2.05e-04 (10.3%)
1.87992e-01 1.20860e-03 1.03042e-03 -8.77084e-05 2.57707e-06 4.33471e-06 -1.80507e-07 1.83409e-06 2.87261e-07 9.25663e-08 1.82555e-09 4.56283e-09 1.40429e-10 3.86623e-09 -3.08328e-10 1.85135e-10 1.03197e-09 1.95625e-10 1.15759e-10 -9.23361e-11
# precision: tgt 2.00e-03 max 4.62e-03 (230.8%) avg 1.63e-04 (8.1%)
1.92561e+00 -7.13023e-04 -6.86427e-04 -8.44817e-05 -1.07673e-06 -2.80422e-06 -1.92162e-07 -1.06044e-06 -1.85921e-07 -3.86303e-08 -7.28415e-10 -2.76516e-09 -1.80604e-10 -2.62999e-09 -4.13186e-10 -1.32184e-10 -7.55877e-10 -1.37619e-10 -1.15195e-10 -3.98778e-10

#tofext2k_z11_q4
3 11 3 20
# precision: tgt 2.00e-03 max 1.14e-03 (57.2%) avg 7.72e-05 (3.9%)
1.28555e-02 -1.12644e-04 -2.37166e-05 3.67496e-05 2.95084e-07 -1.04532e-07 5.36984e-07 -3.37202e-07 -4.40107e-08 6.30010e-08 -2.34462e-10 3.04921e-10 -4.49534e-10 2.66314e-10 1.30008e-10 -1.17117e-10 -4.69188e-10 -3.33485e-10 9.20955e-11 -2.91275e-11
# precision: tgt 2.00e-03 max 3.89e-03 (194.6%) avg 3.04e-04 (15.2%)
-4.15430e-01 2.62808e-03 -2.23148e-03 -7.64690e-05 -5.41686e-06 9.49828e-06 1.44877e-07 -3.77944e-06 3.49152e-07 -1.18799e-08 3.61492e-09 -1.01197e-08 1.46315e-10 8.14725e-09 2.23749e-10 1.32112e-10 -1.99571e-09 2.83665e-10 -1.09438e-10 -6.46666e-10
# precision: tgt 2.00e-03 max 4.80e-03 (240.2%) avg 1.20e-04 (6.0%)
2.07559e+00 -1.18104e-04 1.80654e-04 3.46275e-04 2.80332e-07 -5.70281e-07 -1.37145e-06 5.25921e-07 1.32708e-06 2.13556e-08 1.21328e-10 3.75925e-10 1.30578e-09 -6.20918e-10 -2.84764e-09 2.27755e-13 1.34503e-10 1.01037e-09 1.21484e-11 -2.33629e-10

#tofext2k_z12_q1
3 12 0 20
# precision: tgt 2.00e-03 max 2.44e-03 (122.1%) avg 1.17e-04 (5.8%)
-5.04990e-02 2.56798e-04 2.31634e-04 2.60222e-04 -4.30226e-07 -9.66983e-07 5.44679e-07 -4.28022e-07 2.16412e-07 -2.99667e-06 1.62380e-10 9.20031e-10 -1.60235e-10 8.59163e-10 -8.39561e-11 -9.91296e-10 2.82654e-10 -4.52061e-10 -9.74406e-10 1.34800e-08
# precision: tgt 2.00e-03 max 2.20e-03 (110.2%) avg 1.40e-04 (7.0%)
-1.22554e-02 1.18338e-04 7.62218e-05 -4.89086e-05 -2.79844e-07 -3.16394e-07 -7.59083e-07 -8.21014e-08 -1.71190e-07 3.60377e-06 3.01205e-10 3.98126e-10 -2.80947e-10 1.81994e-10 5.67894e-10 3.99367e-09 4.34192e-12 -4.36895e-11 2.26155e-09 -2.03867e-08
# precision: tgt 2.00e-03 max 4.96e-03 (248.1%) avg 1.42e-04 (7.1%)
2.16469e+00 -6.47867e-04 -5.83707e-04 -4.98324e-04 1.43968e-06 2.45569e-06 2.21557e-07 1.30538e-06 -1.72231e-09 6.42173e-06 -7.37328e-10 -2.52693e-09 3.89453e-10 -2.27439e-09 5.70359e-10 -3.34467e-09 -6.21691e-10 3.10029e-10 -1.91719e-09 -2.65049e-08

#tofext2k_z12_q2
3 12 1 20
# precision: tgt 2.00e-03 max 2.15e-03 (107.6%) avg 8.15e-05 (4.1%)
-4.01150e-02 -2.40431e-04 2.51596e-04 -1.29818e-04 -4.79615e-07 9.62790e-07 7.29985e-07 -4.49785e-07 -2.77747e-07 1.75949e-06 -3.64630e-10 9.39463e-10 2.79165e-10 -9.39723e-10 -2.63835e-10 -1.70085e-09 2.27663e-10 4.90577e-10 8.68538e-10 -9.41003e-09
# precision: tgt 2.00e-03 max 1.66e-03 (83.0%) avg 1.25e-04 (6.2%)
-3.56602e-02 -1.84761e-04 2.03395e-04 2.27887e-05 -2.44104e-07 6.19900e-07 9.44013e-07 -3.03819e-07 -2.09335e-07 3.07787e-06 -1.38584e-10 4.16600e-10 3.34560e-12 -5.67980e-10 -9.06054e-10 -3.61506e-09 9.95914e-11 7.74358e-11 1.33539e-09 -1.68690e-08
# precision: tgt 2.00e-03 max 4.91e-03 (245.7%) avg 8.17e-05 (4.1%)
2.07543e+00 1.75342e-04 -1.07552e-04 -3.42528e-04 6.92828e-07 -6.47039e-07 3.25918e-08 4.87396e-07 -2.82219e-07 5.21334e-06 4.00818e-10 -8.60539e-10 3.02510e-10 6.14061e-10 -5.68709e-10 1.57809e-09 -1.76972e-10 2.58335e-10 2.04404e-10 -2.54335e-08

#tofext2k_z12_q3
3 12 2 20
# precision: tgt 2.00e-03 max 1.77e-03 (88.5%) avg 2.21e-04 (11.1%)
-1.44893e-01 -6.87162e-04 -8.08797e-04 1.61267e-04 -1.02493e-06 -2.87341e-06 7.36697e-07 -1.44253e-06 4.53636e-07 -1.20805e-06 -4.36476e-10 -2.41128e-09 3.43436e-10 -2.87440e-09 4.45605e-10 -7.15762e-10 -7.61015e-10 5.32942e-10 -1.08227e-09 2.43719e-09
# precision: tgt 2.00e-03 max 4.24e-03 (212.0%) avg 2.23e-04 (11.2%)
2.14634e-01 1.35562e-03 1.14824e-03 -7.55841e-05 2.77453e-06 4.73341e-06 -6.63185e-07 1.94896e-06 9.74076e-08 -3.39751e-07 1.82817e-09 4.79799e-09 -1.03679e-09 4.05758e-09 -1.16965e-09 -8.82304e-10 9.91131e-10 -3.45492e-10 -8.20168e-10 -7.62086e-10
# precision: tgt 2.00e-03 max 4.47e-03 (223.4%) avg 1.58e-04 (7.9%)
1.92986e+00 -7.02962e-04 -6.73792e-04 -1.93192e-04 -1.03829e-06 -2.70321e-06 3.85581e-07 -1.00620e-06 3.76252e-07 4.53782e-06 -7.18100e-10 -2.64189e-09 7.79199e-11 -2.50451e-09 3.86449e-10 -1.36211e-09 -7.21832e-10 7.23882e-11 -1.43002e-09 -2.81265e-08

#tofext2k_z12_q4
3 12 3 20
# precision: tgt 2.00e-03 max 2.59e-03 (129.5%) avg 1.30e-04 (6.5%)
1.52991e-02 -1.35083e-04 -3.94128e-05 -1.72094e-05 3.71605e-07 -7.23510e-08 9.37634e-07 -4.61800e-07 -4.29424e-07 -9.56391e-07 -3.40564e-10 2.89503e-10 -8.16188e-10 4.05657e-10 9.55185e-10 5.17113e-10 -6.21333e-10 -4.90820e-10 1.62990e-10 3.81918e-09
# precision: tgt 2.00e-03 max 3.99e-03 (199.3%) avg 3.08e-04 (15.4%)
-4.11025e-01 2.59601e-03 -2.17539e-03 1.71747e-04 -5.39693e-06 9.34067e-06 -3.41634e-07 -3.67948e-06 6.72981e-07 -8.47924e-07 3.68530e-09 -1.00604e-08 1.23410e-11 8.01147e-09 -4.26279e-10 1.25596e-09 -1.98626e-09 8.77309e-11 -1.87427e-10 1.43627e-09
# precision: tgt 2.00e-03 max 3.98e-03 (199.2%) avg 1.73e-04 (8.7%)
2.02070e+00 2.05391e-04 -1.90911e-04 -4.15589e-04 -2.95108e-07 9.38518e-07 1.07423e-06 -1.89496e-07 -5.21840e-07 4.11261e-06 3.68315e-10 -1.03844e-09 -1.53566e-10 8.91897e-10 3.26029e-10 -6.15634e-09 -2.60545e-10 -1.47889e-10 2.49765e-09 -1.67705e-08

#tofext2k_z13_q1
3 13 0 20
# precision: tgt 2.00e-03 max 3.20e-03 (160.2%) avg 7.25e-05 (3.6%)
-5.27457e-02 2.87491e-04 2.53896e-04 5.09488e-05 -4.34184e-07 -1.05368e-06 4.94296e-07 -4.24383e-07 3.74690e-08 5.71077e-10 1.27895e-10 1.00682e-09 -4.36940e-10 8.30735e-10 8.83486e-11 -6.80735e-11 2.71794e-10 -3.75252e-10 -7.53897e-11 8.40074e-11
# precision: tgt 2.00e-03 max 2.79e-03 (139.7%) avg 4.03e-05 (2.0%)
-6.77406e-03 3.29624e-05 4.12500e-05 4.26748e-05 -1.07622e-07 -1.54904e-07 1.06236e-07 -4.67885e-08 5.04357e-07 7.41130e-09 1.78974e-10 1.34684e-10 -5.07956e-10 1.50982e-10 -1.46873e-10 -3.73984e-11 -6.32556e-11 -2.79030e-10 -5.06154e-11 3.37037e-11
# precision: tgt 2.00e-03 max 5.18e-03 (259.2%) avg 1.26e-04 (6.3%)
2.14886e+00 -5.95774e-04 -5.43340e-04 -6.52116e-05 1.39372e-06 2.32241e-06 -1.17674e-07 1.25815e-06 -1.08547e-07 -4.90085e-08 -7.13629e-10 -2.39127e-09 1.12384e-10 -2.15173e-09 2.13237e-10 5.41735e-11 -5.91118e-10 8.34892e-11 4.39198e-11 5.77146e-11

#tofext2k_z13_q2
3 13 1 20
# precision: tgt 2.00e-03 max 2.60e-03 (129.9%) avg 5.89e-05 (2.9%)
-3.72417e-02 -2.13374e-04 2.40849e-04 -4.25838e-05 -4.71880e-07 9.13433e-07 5.09252e-07 -4.75476e-07 -4.32082e-08 -4.31396e-08 -3.84118e-10 8.72759e-10 4.71018e-10 -1.00489e-09 1.48154e-11 5.44559e-12 2.46383e-10 3.97330e-10 -1.40859e-11 1.28918e-10
# precision: tgt 2.00e-03 max 2.62e-03 (131.2%) avg 7.24e-05 (3.6%)
-3.40246e-02 -1.31190e-04 2.05096e-04 4.72997e-05 -1.50387e-07 6.31032e-07 -1.37717e-07 -3.51232e-07 5.37858e-07 -1.06838e-07 -8.19196e-11 3.72385e-10 -5.46236e-10 -7.35755e-10 2.59746e-10 -3.90204e-11 9.48176e-11 -3.23745e-10 2.99407e-11 2.33882e-10
# precision: tgt 2.00e-03 max 5.03e-03 (251.6%) avg 6.26e-05 (3.1%)
2.08992e+00 2.51589e-04 -1.91921e-04 -1.35930e-04 8.03393e-07 -8.98408e-07 -1.73424e-07 5.93559e-07 1.62784e-07 -1.22623e-07 4.29067e-10 -1.00003e-09 -1.60902e-10 7.56948e-10 3.78685e-10 -2.93236e-11 -2.06230e-10 -1.22375e-10 5.34536e-11 2.87991e-10

#tofext2k_z13_q3
3 13 2 20
# precision: tgt 2.00e-03 max 2.37e-03 (118.7%) avg 2.58e-04 (12.9%)
-1.51380e-01 -7.52445e-04 -8.96513e-04 -1.53974e-05 -1.15714e-06 -3.21054e-06 6.69373e-07 -1.66664e-06 9.40368e-08 -6.84542e-08 -5.33244e-10 -2.66534e-09 4.55670e-10 -3.34603e-09 1.24922e-10 -5.55886e-10 -8.99110e-10 3.18791e-10 -2.24318e-10 -1.09071e-10
# precision: tgt 2.00e-03 max 4.71e-03 (235.3%) avg 2.07e-04 (10.3%)
2.33403e-01 1.39252e-03 1.16318e-03 -4.68608e-05 2.71904e-06 4.83376e-06 -3.85544e-08 1.82064e-06 5.60261e-07 3.43051e-08 1.73911e-09 4.93598e-09 2.60516e-10 3.99225e-09 8.02405e-11 1.14579e-10 8.47714e-10 4.31566e-10 -2.68193e-10 4.08977e-11
# precision: tgt 2.00e-03 max 4.04e-03 (201.9%) avg 1.58e-04 (7.9%)
1.93048e+00 -7.13782e-04 -6.91050e-04 -9.09161e-05 -1.08490e-06 -2.80855e-06 1.08336e-08 -1.07097e-06 1.75590e-09 -5.90000e-08 -7.44410e-10 -2.76175e-09 -1.07091e-11 -2.65310e-09 -4.64918e-11 -1.13726e-10 -7.63428e-10 -4.12568e-11 -1.28472e-10 -9.66083e-12

#tofext2k_z13_q4
3 13 3 20
# precision: tgt 2.00e-03 max 3.15e-03 (157.7%) avg 1.96e-04 (9.8%)
1.15131e-02 -1.54004e-04 -9.06134e-05 -8.80505e-06 5.16037e-07 -4.07315e-08 7.41561e-07 -6.49500e-07 -1.62967e-07 1.04422e-07 -5.31414e-10 4.23344e-10 -5.72845e-10 5.55934e-10 4.29353e-10 -2.74248e-10 -8.60278e-10 -4.27198e-10 -2.63191e-11 -3.33836e-10
# precision: tgt 2.00e-03 max 3.71e-03 (185.5%) avg 3.08e-04 (15.4%)
-3.87076e-01 2.58535e-03 -2.14003e-03 -8.97362e-05 -5.62177e-06 9.38482e-06 1.56378e-07 -3.72378e-06 4.63302e-07 2.02488e-07 3.96756e-09 -1.03423e-08 1.45683e-10 8.14675e-09 4.30427e-11 -3.52102e-10 -2.02151e-09 3.59723e-10 -7.02125e-11 -9.75529e-11
# precision: tgt 2.00e-03 max 3.77e-03 (188.7%) avg 6.06e-05 (3.0%)
1.99752e+00 3.19722e-04 -2.83250e-04 1.85509e-05 -4.08351e-07 1.15332e-06 -4.06842e-07 -2.85974e-07 4.04342e-07 -3.92411e-08 4.14164e-10 -1.13269e-09 4.14867e-10 9.83701e-10 -9.01487e-10 -1.10463e-10 -2.98250e-10 3.23854e-10 6.96675e-11 2.18220e-10

#tofext2k_z14_q1
3 14 0 20
# precision: tgt 2.00e-03 max 2.99e-03 (149.5%) avg 1.48e-04 (7.4%)
-4.94778e-02 4.64296e-04 4.13196e-04 1.02875e-04 -9.48813e-07 -1.29094e-06 -7.51763e-07 -7.46023e-07 -1.26527e-06 -6.42483e-07 3.44075e-10 1.30002e-09 1.67595e-09 1.09977e-09 1.79238e-11 3.17781e-09 2.93714e-10 1.17089e-09 3.82708e-09 -1.15503e-09
# precision: tgt 2.00e-03 max 2.65e-03 (132.6%) avg 1.59e-04 (8.0%)
1.90660e-01 1.00847e-04 1.57127e-04 -3.26569e-03 -5.60690e-07 -6.18909e-07 5.45486e-07 -5.47139e-07 3.39484e-07 1.76928e-05 2.14916e-10 4.42435e-10 1.70148e-09 4.41117e-10 9.86796e-10 -2.85745e-09 1.12594e-10 1.83266e-09 -8.72803e-10 -3.25855e-08
# precision: tgt 2.00e-03 max 4.95e-03 (247.7%) avg 1.25e-04 (6.2%)
2.07170e+00 -3.99849e-04 -3.41115e-04 7.94785e-04 1.00796e-06 1.74941e-06 -5.35296e-07 9.14644e-07 -7.30291e-07 -4.55751e-06 -6.22199e-10 -1.94579e-09 1.22029e-09 -1.73880e-09 7.13941e-10 2.77139e-10 -4.87839e-10 9.72080e-10 1.10081e-09 6.99367e-09

#tofext2k_z14_q2
3 14 1 20
# precision: tgt 2.00e-03 max 2.21e-03 (110.6%) avg 1.14e-04 (5.7%)
-8.37750e-02 2.33330e-05 2.04427e-05 9.18924e-04 2.22584e-07 2.10204e-07 -1.28026e-07 6.35749e-08 5.49665e-07 -4.56510e-06 -1.27771e-10 3.23581e-10 -2.05136e-09 -4.26492e-10 8.15878e-10 3.03085e-10 1.53098e-10 -1.53311e-09 -7.63035e-10 8.81244e-09
# precision: tgt 2.00e-03 max 2.46e-03 (122.9%) avg 1.38e-04 (6.9%)
1.15019e-01 -2.09471e-04 2.70486e-04 -2.25097e-03 -5.25379e-07 8.69202e-07 2.02046e-07 -7.66655e-07 2.72454e-07 1.19720e-05 -1.00728e-10 5.17689e-10 1.63293e-09 -8.59642e-10 -7.05230e-10 4.38576e-10 2.32574e-10 1.79812e-09 -3.77132e-10 -2.22938e-08
# precision: tgt 2.00e-03 max 5.05e-03 (252.4%) avg 1.04e-04 (5.2%)
2.15517e+00 5.66802e-04 -5.15435e-04 -1.57609e-04 1.15533e-06 -1.85988e-06 -9.18227e-07 9.20345e-07 1.05659e-06 -1.39439e-06 6.16114e-10 -1.74436e-09 -6.03186e-11 1.51207e-09 1.27946e-09 5.75753e-10 -4.19004e-10 2.63431e-10 -1.32160e-09 2.37437e-09

#tofext2k_z14_q3
3 14 2 20
# precision: tgt 2.00e-03 max 3.02e-03 (150.9%) avg 2.17e-04 (10.8%)
-2.34120e-01 -7.06954e-05 -1.42922e-04 3.30168e-03 1.29037e-07 -3.74125e-07 3.03831e-07 -8.56821e-08 3.48411e-08 -1.82152e-05 -2.27096e-10 -1.21547e-09 -3.48638e-09 -1.48857e-09 -5.97965e-09 -7.29006e-09 -4.64795e-10 -3.86334e-09 -8.38289e-09 2.73938e-08
# precision: tgt 2.00e-03 max 4.55e-03 (227.4%) avg 2.14e-04 (10.7%)
1.87887e-01 1.16661e-03 1.01677e-03 -4.62473e-04 2.57781e-06 3.64443e-06 -1.01936e-06 1.61028e-06 -1.57232e-06 1.68583e-06 1.89591e-09 4.54409e-09 2.69839e-10 3.45609e-09 2.78659e-09 6.64240e-09 8.34924e-10 -1.32289e-10 8.83345e-09 3.73818e-09
# precision: tgt 2.00e-03 max 4.16e-03 (207.8%) avg 1.75e-04 (8.8%)
2.00142e+00 -6.56183e-04 -4.89960e-04 -8.47876e-04 -1.43467e-06 -2.93436e-06 -1.49700e-06 -9.57163e-07 -1.92239e-06 1.79050e-06 -9.54293e-10 -3.15241e-09 6.82940e-10 -2.77935e-09 -6.97890e-10 3.88112e-09 -7.84883e-10 -9.54748e-10 2.93904e-09 -1.23594e-09

#tofext2k_z14_q4
3 14 3 20
# precision: tgt 2.00e-03 max 3.05e-03 (152.3%) avg 2.35e-04 (11.8%)
1.35111e-01 -1.14281e-04 -1.35894e-04 -1.84246e-03 1.45107e-07 2.59221e-07 8.72531e-07 -9.74704e-07 -4.08926e-07 8.81816e-06 -4.28556e-10 3.43682e-10 1.45160e-09 7.42743e-10 -7.49805e-10 -2.08261e-09 -8.58003e-10 1.30271e-09 2.01363e-09 -1.45729e-08
# precision: tgt 2.00e-03 max 3.81e-03 (190.7%) avg 3.03e-04 (15.2%)
-5.21319e-01 2.61986e-03 -2.25279e-03 1.50761e-03 -5.22874e-06 9.30908e-06 -4.90366e-07 -3.52484e-06 1.39486e-06 -6.39530e-06 3.64189e-09 -9.89515e-09 -5.95956e-10 7.90421e-09 -6.86093e-10 4.58645e-10 -1.88087e-09 -3.67035e-10 -1.48029e-09 1.05609e-08
# precision: tgt 2.00e-03 max 3.97e-03 (198.5%) avg 1.34e-04 (6.7%)
2.02576e+00 4.33038e-04 -2.72942e-04 -5.92261e-04 -1.01218e-06 1.91301e-06 1.05711e-06 -4.82967e-07 -1.39600e-06 1.06348e-06 7.33408e-10 -2.08126e-09 1.02664e-09 1.70993e-09 -2.36339e-11 -3.59975e-09 -4.78775e-10 -6.04060e-10 2.49117e-09 -2.36913e-10

#tofext2k_z15_q1
3 15 0 20
# precision: tgt 2.00e-03 max 1.31e-03 (65.4%) avg 7.06e-05 (3.5%)
-8.19624e-02 3.83034e-04 3.47840e-04 8.07280e-05 -6.34116e-07 -1.46750e-06 5.05738e-07 -4.92200e-07 -1.86222e-08 -4.13899e-08 3.99081e-10 1.43922e-09 -4.44995e-10 1.20384e-09 2.04386e-10 1.18371e-11 2.91788e-10 -3.84591e-10 7.22926e-12 5.61559e-11
# precision: tgt 2.00e-03 max 2.46e-03 (122.9%) avg 3.73e-05 (1.9%)
-3.41012e-02 1.06096e-04 1.34120e-04 9.69865e-05 -1.43923e-07 -5.30061e-07 5.89457e-08 -2.54882e-07 5.13140e-07 -1.34793e-07 2.04687e-10 4.84672e-10 -5.38870e-10 5.96293e-10 -4.67773e-11 -2.97776e-12 1.81518e-10 -2.41398e-10 -1.09913e-11 2.06714e-10
# precision: tgt 2.00e-03 max 5.73e-03 (286.7%) avg 9.04e-05 (4.5%)
2.09406e+00 -4.32741e-04 -3.86325e-04 1.60752e-04 1.14454e-06 1.66891e-06 1.20007e-08 1.00806e-06 2.76974e-08 -8.02722e-07 -5.89757e-10 -1.76588e-09 3.37635e-11 -1.57350e-09 6.90663e-11 -1.06382e-10 -4.41248e-10 1.83452e-11 -1.29804e-10 -3.11462e-11

#tofext2k_z15_q2
3 15 1 20
# precision: tgt 2.00e-03 max 1.75e-03 (87.6%) avg 6.16e-05 (3.1%)
-3.39988e-02 -2.21598e-04 2.38150e-04 4.00538e-05 -3.78945e-07 7.22778e-07 9.35641e-07 -4.85640e-07 -3.77276e-07 1.46820e-09 -1.21201e-10 4.89119e-10 8.37758e-10 -6.45948e-10 -6.93143e-10 3.08393e-12 2.37855e-10 6.95139e-10 -1.10144e-11 2.62352e-12
# precision: tgt 2.00e-03 max 1.82e-03 (90.9%) avg 1.08e-04 (5.4%)
-6.52111e-02 -2.22311e-04 3.08287e-04 1.19095e-04 -2.17358e-07 1.01130e-06 9.07509e-08 -5.49534e-07 3.81585e-07 -3.75771e-08 -1.34414e-10 6.99163e-10 -4.07199e-10 -1.13777e-09 -1.74015e-10 -6.40535e-11 3.40413e-10 -2.00789e-10 5.25338e-11 1.14277e-11
# precision: tgt 2.00e-03 max 5.75e-03 (287.3%) avg 1.03e-04 (5.2%)
2.10564e+00 5.23302e-04 -4.79799e-04 2.25519e-04 1.35199e-06 -2.07088e-06 6.14995e-08 1.18443e-06 -9.48476e-09 -1.02564e-06 7.20377e-10 -2.13494e-09 -7.48646e-11 1.90713e-09 1.34761e-10 -2.74424e-10 -5.31321e-10 -7.48948e-11 1.69309e-10 3.89953e-11

#tofext2k_z15_q3
3 15 2 20
# precision: tgt 2.00e-03 max 4.45e-03 (222.3%) avg 8.08e-05 (4.0%)
-6.13735e-02 -2.81344e-04 -3.11664e-04 2.21661e-04 -4.40639e-07 -9.98122e-07 8.93365e-07 -6.12940e-07 3.55608e-07 -8.89620e-07 -1.46898e-10 -7.72390e-10 6.57681e-10 -8.99624e-10 5.69987e-10 -1.97958e-10 -3.07077e-10 6.27562e-10 -1.53253e-10 1.25798e-09
# precision: tgt 2.00e-03 max 5.18e-03 (259.0%) avg 1.73e-04 (8.6%)
1.89796e-01 1.29564e-03 9.48976e-04 4.71184e-05 2.75146e-06 4.23907e-06 -6.28626e-07 1.49600e-06 1.95354e-07 -1.03602e-06 2.07948e-09 4.65449e-09 -7.22163e-11 3.44184e-09 -6.48401e-10 5.85423e-10 8.39779e-10 2.64111e-10 1.21559e-10 1.92061e-09
# precision: tgt 2.00e-03 max 4.13e-03 (206.7%) avg 1.70e-04 (8.5%)
1.82842e+00 -1.17386e-03 -1.09169e-03 2.01517e-04 -1.82455e-06 -4.18900e-06 7.61891e-07 -1.59041e-06 6.60335e-07 -1.53874e-07 -1.15440e-09 -3.93929e-09 6.25011e-10 -3.49564e-09 1.46373e-09 -1.43900e-10 -9.70457e-10 5.10756e-10 4.98384e-12 -1.00141e-09

#tofext2k_z15_q4
3 15 3 20
# precision: tgt 2.00e-03 max 1.31e-03 (65.6%) avg 1.96e-04 (9.8%)
1.82170e-02 -2.23134e-04 -3.08515e-05 -5.90286e-05 6.07393e-07 -2.27167e-07 7.41427e-07 -4.58200e-07 -1.29216e-07 4.14693e-07 -4.45818e-10 5.71074e-10 -5.50504e-10 4.39392e-10 3.03180e-10 -1.62530e-10 -7.32351e-10 -5.04338e-10 -4.04708e-11 -6.76155e-10
# precision: tgt 2.00e-03 max 4.00e-03 (199.9%) avg 2.60e-04 (13.0%)
-3.26785e-01 2.17281e-03 -1.87572e-03 -1.06479e-04 -4.71230e-06 8.12119e-06 6.98651e-07 -3.29562e-06 1.73477e-07 -4.62675e-07 3.22183e-09 -8.88892e-09 -3.10278e-10 7.14545e-09 9.01080e-10 -3.73159e-10 -1.70281e-09 1.74018e-10 -1.60962e-10 9.15843e-10
# precision: tgt 2.00e-03 max 4.18e-03 (208.9%) avg 1.38e-04 (6.9%)
1.83709e+00 1.05208e-03 -9.77889e-04 3.50616e-04 -1.58644e-06 3.64925e-06 -9.63634e-07 -1.33652e-06 8.87585e-07 -5.18731e-07 1.01958e-09 -3.30812e-09 8.67643e-10 2.90877e-09 -2.00598e-09 8.66271e-12 -8.07528e-10 6.92167e-10 5.09351e-11 -4.29510e-10

#tofext2k_z16_q1
3 16 0 20
# precision: tgt 2.00e-03 max 1.50e-03 (75.0%) avg 1.50e-04 (7.5%)
2.29123e-01 7.86017e-04 8.36490e-04 -4.18310e-03 -1.17912e-06 -2.59371e-06 -6.44622e-07 -1.14227e-06 -1.41164e-06 1.67239e-05 6.68899e-10 1.92008e-09 8.22368e-10 1.94264e-09 2.21840e-09 2.93793e-10 4.73855e-10 9.60855e-10 6.85777e-10 -2.09210e-08
# precision: tgt 2.00e-03 max 1.99e-03 (99.6%) avg 8.95e-05 (4.5%)
-3.45577e-01 5.08147e-04 4.98957e-04 2.87172e-03 -6.67826e-07 -1.34028e-06 -1.24738e-06 -6.78071e-07 -8.91414e-07 -9.29225e-06 3.95575e-10 1.25703e-09 3.28662e-10 1.08243e-09 7.78722e-10 1.51534e-09 4.88169e-10 4.16898e-10 1.89844e-09 1.03465e-08
# precision: tgt 2.00e-03 max 5.26e-03 (262.9%) avg 1.59e-04 (8.0%)
2.59283e+00 -4.10924e-04 -5.84361e-04 -5.10850e-03 1.46139e-06 2.30375e-06 -1.29226e-06 1.34116e-06 2.88751e-07 1.87403e-05 -7.98326e-10 -2.56704e-09 2.16918e-10 -2.40516e-09 8.75976e-10 1.56667e-09 -6.61312e-10 2.60039e-10 -1.38893e-09 -2.35410e-08

#tofext2k_z16_q2
3 16 1 20
# precision: tgt 2.00e-03 max 2.05e-03 (102.5%) avg 8.81e-05 (4.4%)
-8.16203e-02 2.04766e-04 -1.85228e-04 1.39560e-03 4.41749e-07 -1.00936e-06 8.67808e-07 1.46845e-07 -2.16594e-07 -4.87601e-06 2.05793e-10 -5.53490e-10 -6.07022e-10 6.58503e-10 1.20648e-09 -1.80457e-09 1.51416e-10 -1.93108e-10 1.09556e-09 5.06808e-09
# precision: tgt 2.00e-03 max 2.51e-03 (125.5%) avg 1.41e-04 (7.1%)
-5.07931e-01 -9.56745e-04 9.39627e-04 3.77329e-03 -1.31683e-06 2.95743e-06 1.59094e-06 -1.48919e-06 -8.60708e-07 -1.24647e-05 -7.02673e-10 2.71498e-09 2.55318e-10 -2.75404e-09 -5.54853e-10 -2.31337e-09 9.66431e-10 2.84566e-10 2.06334e-09 1.39348e-08
# precision: tgt 2.00e-03 max 5.20e-03 (259.8%) avg 1.02e-04 (5.1%)
2.36865e+00 2.96995e-04 -3.59312e-04 -2.98786e-03 1.20709e-06 -1.47977e-06 6.41047e-07 9.40661e-07 3.15303e-07 1.05914e-05 6.20134e-10 -1.55670e-09 -4.73735e-10 1.34152e-09 2.48116e-10 -1.46989e-09 -3.73682e-10 -2.17922e-10 -4.86533e-10 -1.37514e-08

#tofext2k_z16_q3
3 16 2 20
# precision: tgt 2.00e-03 max 1.38e-03 (69.2%) avg 1.36e-04 (6.8%)
4.14365e-01 1.08480e-03 1.03300e-03 -2.51747e-03 1.41758e-06 2.69339e-06 -2.29506e-06 9.61321e-07 -2.99884e-06 6.46212e-06 7.15206e-10 1.80455e-09 -1.60221e-09 1.65676e-09 -3.30124e-09 1.95829e-09 2.97507e-10 -1.04719e-09 2.83286e-09 -6.41399e-09
# precision: tgt 2.00e-03 max 3.91e-03 (195.5%) avg 2.09e-04 (10.4%)
-6.61478e-02 9.76696e-04 5.15968e-04 2.04939e-03 2.78884e-06 3.80056e-06 1.28303e-06 1.29561e-06 2.35675e-06 -6.00925e-06 2.24735e-09 5.23452e-09 6.67120e-10 3.61292e-09 2.23304e-09 -5.50223e-10 1.01045e-09 1.22722e-09 -1.40161e-09 6.77769e-09
# precision: tgt 2.00e-03 max 3.83e-03 (191.5%) avg 2.32e-04 (11.6%)
1.72507e+00 -1.95758e-03 -1.63039e-03 -1.39507e-04 -2.48556e-06 -5.30749e-06 3.91409e-06 -1.61663e-06 3.03691e-06 4.13427e-06 -1.65076e-09 -5.22416e-09 3.56525e-10 -4.39977e-09 1.25011e-09 -5.78507e-09 -1.15055e-09 -1.07535e-09 -5.31337e-09 -9.63718e-09

#tofext2k_z16_q4
3 16 3 20
# precision: tgt 2.00e-03 max 1.65e-03 (82.7%) avg 2.34e-04 (11.7%)
-1.77001e-01 -6.28707e-04 3.67274e-04 2.88237e-03 1.87087e-06 -3.00964e-06 -1.42100e-06 9.69069e-07 2.17942e-06 -8.64248e-06 -1.35090e-09 3.57811e-09 5.48159e-10 -2.31770e-09 -4.61646e-10 2.73697e-09 2.59983e-10 -2.22243e-10 -3.85243e-09 8.52486e-09
# precision: tgt 2.00e-03 max 3.62e-03 (181.0%) avg 2.51e-04 (12.5%)
-5.49393e-01 2.21673e-03 -2.12995e-03 1.99489e-03 -4.35054e-06 7.92939e-06 -4.24867e-07 -3.40943e-06 1.77592e-06 -6.51758e-06 2.96247e-09 -8.18630e-09 -3.78212e-10 7.04049e-09 1.86363e-10 1.10236e-09 -1.62631e-09 5.23918e-10 -2.14019e-09 6.97135e-09
# precision: tgt 2.00e-03 max 3.35e-03 (167.7%) avg 2.21e-04 (11.0%)
1.75623e+00 2.03997e-03 -1.69522e-03 -6.28432e-04 -2.52109e-06 5.32171e-06 -4.51234e-06 -1.60199e-06 3.51392e-06 6.43497e-06 1.63530e-09 -5.03480e-09 7.69859e-10 4.22388e-09 -2.03695e-09 6.17418e-09 -1.08884e-09 -7.81984e-10 -5.53693e-09 -1.26287e-08

#tofext2k_z17_q1
3 17 0 20
# precision: tgt 2.00e-03 max 2.56e-03 (128.1%) avg 1.93e-04 (9.6%)
4.37682e-01 1.68766e-03 1.49676e-03 -6.77948e-03 -1.75293e-06 -3.75381e-06 -4.24544e-06 -1.49847e-06 -3.64382e-06 2.44945e-05 7.32649e-10 2.15192e-09 2.31052e-09 2.39344e-09 4.28235e-09 3.98379e-09 2.61883e-10 1.95702e-09 2.66248e-09 -2.73776e-08
# precision: tgt 2.00e-03 max 3.94e-03 (197.2%) avg 1.80e-04 (9.0%)
-6.04139e-01 1.49620e-03 1.43951e-03 3.41259e-03 -2.15539e-06 -4.29907e-06 -2.47973e-06 -2.18678e-06 -1.89438e-06 -8.97089e-06 1.20543e-09 4.69196e-09 9.01870e-11 4.24858e-09 -8.97303e-10 4.53768e-09 1.49155e-09 2.23300e-10 4.38941e-09 6.93361e-09
# precision: tgt 2.00e-03 max 4.84e-03 (242.1%) avg 1.72e-04 (8.6%)
2.44677e+00 -1.80489e-05 8.27646e-05 -4.24052e-03 4.26636e-07 -6.08617e-07 1.06814e-06 3.25919e-07 6.28660e-07 1.29895e-05 -4.50827e-10 -9.03331e-10 9.69610e-10 -6.42643e-10 4.10696e-09 -5.00971e-09 -1.63565e-10 5.96985e-10 -4.07989e-09 -1.21834e-08

#tofext2k_z17_q2
3 17 1 20
# precision: tgt 2.00e-03 max 2.22e-03 (110.8%) avg 1.64e-04 (8.2%)
-3.80240e-01 1.43612e-03 -1.41187e-03 5.99727e-03 1.83456e-06 -3.76535e-06 -2.50215e-06 1.44421e-06 3.14866e-06 -2.13029e-05 9.22222e-10 -2.41442e-09 -1.86396e-09 2.25627e-09 3.99206e-09 1.72322e-09 -1.15239e-10 -2.15557e-09 -1.93382e-09 2.34541e-08
# precision: tgt 2.00e-03 max 3.46e-03 (173.2%) avg 1.76e-04 (8.8%)
-5.31333e-01 -9.78819e-04 1.06914e-03 3.35786e-03 -1.95208e-06 4.17867e-06 -5.26735e-07 -2.16060e-06 4.82841e-07 -1.08544e-05 -1.11570e-09 4.70755e-09 -4.69683e-10 -4.33837e-09 1.61275e-09 -4.90314e-10 1.44096e-09 3.66679e-11 1.06052e-09 1.07904e-08
# precision: tgt 2.00e-03 max 4.90e-03 (244.8%) avg 1.78e-04 (8.9%)
2.25013e+00 6.05249e-04 -4.23201e-04 -1.50705e-03 1.02471e-06 -6.04756e-07 -2.84834e-06 8.45953e-07 1.96186e-06 3.20044e-06 7.33735e-10 -1.73287e-09 3.44622e-10 1.46320e-09 -2.88930e-09 6.75604e-09 -3.95455e-10 1.68395e-10 -5.27054e-09 -1.24553e-09

#tofext2k_z17_q3
3 17 2 20
# precision: tgt 2.00e-03 max 1.91e-03 (95.7%) avg 2.25e-04 (11.3%)
6.00018e-01 2.69480e-03 2.46036e-03 -1.27813e-03 3.33792e-06 6.67650e-06 -5.35694e-06 2.48389e-06 -5.46097e-06 -7.46744e-07 1.50473e-09 4.54529e-09 -3.13015e-09 4.02116e-09 -6.51601e-09 4.00334e-09 4.95017e-10 -2.85916e-09 3.79257e-09 3.17868e-09
# precision: tgt 2.00e-03 max 4.45e-03 (222.7%) avg 2.22e-04 (11.1%)
-6.06061e-01 4.70939e-04 -7.49160e-05 5.79456e-03 2.09806e-06 1.41972e-06 5.69994e-07 3.24853e-07 1.67604e-06 -1.75225e-05 2.09481e-09 4.07574e-09 8.91215e-10 2.40093e-09 4.53686e-09 1.95834e-09 1.33604e-09 3.16262e-09 2.12804e-09 1.95583e-08
# precision: tgt 2.00e-03 max 4.14e-03 (206.8%) avg 2.25e-04 (11.3%)
1.78085e+00 -1.17962e-03 -6.09467e-04 1.12309e-03 -2.04935e-06 -2.82023e-06 2.03260e-06 1.40080e-07 1.36093e-06 -2.15560e-06 -1.59903e-09 -3.23399e-09 1.09434e-09 -1.57643e-09 1.75634e-09 -1.56091e-09 3.61906e-10 -9.61427e-10 -1.98008e-09 3.33981e-10

#tofext2k_z17_q4
3 17 3 20
# precision: tgt 2.00e-03 max 2.22e-03 (110.8%) avg 2.68e-04 (13.4%)
-4.00493e-02 7.56676e-04 -8.21850e-04 -1.01519e-03 5.07883e-07 -1.60889e-08 -5.02179e-06 -2.02779e-07 4.71802e-06 7.33802e-06 -9.12228e-10 2.04029e-09 2.42246e-09 -8.70361e-10 -4.57473e-09 4.88278e-09 1.96667e-10 1.86460e-09 -4.15787e-09 -1.02051e-08
# precision: tgt 2.00e-03 max 3.85e-03 (192.5%) avg 2.49e-04 (12.5%)
-6.74888e-01 2.00750e-03 -2.06543e-03 2.97441e-03 -3.66518e-06 7.45959e-06 -1.29084e-07 -3.15900e-06 1.61775e-06 -8.75244e-06 2.50215e-09 -7.23326e-09 -9.42880e-10 6.52794e-09 -1.06210e-10 6.28701e-10 -1.14424e-09 7.71577e-10 -1.44818e-09 8.62559e-09
# precision: tgt 2.00e-03 max 4.45e-03 (222.5%) avg 2.32e-04 (11.6%)
1.93359e+00 1.29778e-03 -7.52966e-04 -5.10195e-04 -2.25852e-06 3.22837e-06 -2.19799e-06 -4.98920e-08 1.64025e-06 3.09146e-06 1.75278e-09 -3.57406e-09 1.21716e-09 1.94785e-09 -1.98431e-09 1.66931e-09 2.76899e-10 -8.56084e-10 -2.27644e-09 -5.20933e-09

#tofext2k_z18_q1
3 18 0 20
# precision: tgt 2.00e-03 max 3.27e-03 (163.6%) avg 2.06e-04 (10.3%)
-7.59889e-02 5.40927e-04 1.04511e-03 -2.99918e-04 -1.65075e-06 -3.29314e-06 1.15550e-06 -2.03655e-06 -1.19008e-06 9.18690e-07 8.88106e-10 2.20206e-09 2.19854e-09 3.24341e-09 2.15672e-09 -2.50643e-09 4.67419e-10 2.48129e-09 2.68209e-10 -9.40063e-10
# precision: tgt 2.00e-03 max 3.64e-03 (181.8%) avg 2.66e-04 (13.3%)
-1.64799e-01 2.42782e-03 1.75177e-03 -1.31389e-03 -4.82635e-06 -8.08014e-06 -1.24199e-06 -4.07873e-06 1.42116e-06 3.39171e-06 2.15790e-09 8.00494e-09 2.95919e-09 6.43919e-09 1.68350e-09 3.22089e-10 2.24568e-09 2.61443e-09 -2.49285e-09 -3.16663e-09
# precision: tgt 2.00e-03 max 3.98e-03 (199.0%) avg 3.02e-04 (15.1%)
1.95477e+00 1.34465e-03 1.21630e-03 -1.63639e-03 -1.72611e-06 -5.14424e-06 -1.39391e-07 -1.34739e-06 7.98428e-08 5.59746e-06 1.53411e-09 5.16869e-09 -1.87811e-09 4.76641e-09 3.45530e-10 -1.55306e-10 1.43251e-09 -2.18758e-09 -3.90342e-10 -6.36323e-09

#tofext2k_z18_q2
3 18 1 20
# precision: tgt 2.00e-03 max 2.36e-03 (117.8%) avg 1.72e-04 (8.6%)
1.35652e-01 8.55466e-04 -1.24387e-03 4.28289e-04 2.12563e-06 -4.40424e-06 1.75651e-06 2.07198e-06 6.78853e-07 -9.71664e-07 9.43248e-10 -3.26944e-09 -1.85716e-09 3.72634e-09 1.69356e-09 -3.00215e-09 -2.90662e-10 -2.08612e-09 5.71413e-11 8.35068e-10
# precision: tgt 2.00e-03 max 3.31e-03 (165.6%) avg 2.48e-04 (12.4%)
-2.85955e-01 -2.54477e-03 1.92462e-03 -5.25151e-04 -5.29692e-06 9.08038e-06 6.99584e-07 -4.64417e-06 1.89752e-06 1.02359e-06 -2.65296e-09 9.08015e-09 2.62991e-09 -7.72650e-09 -1.45521e-09 2.24589e-10 2.65264e-09 2.45057e-09 -3.04981e-09 -8.21462e-10
# precision: tgt 2.00e-03 max 2.90e-03 (144.9%) avg 2.97e-04 (14.8%)
1.66870e+00 -9.31037e-04 8.09016e-04 1.19419e-03 -7.98844e-07 3.24845e-06 3.42819e-07 -4.68244e-07 -1.60850e-07 -1.84408e-06 -9.09922e-10 3.31617e-09 -1.98338e-09 -2.87400e-09 -1.56316e-10 -3.17132e-10 8.82383e-10 -2.13682e-09 -1.09115e-11 8.66726e-11

#tofext2k_z18_q3
3 18 2 20
# precision: tgt 2.00e-03 max 3.10e-03 (154.8%) avg 3.66e-04 (18.3%)
8.99271e-01 4.60331e-03 4.40026e-03 -7.48352e-04 7.13705e-06 1.42880e-05 -4.09921e-06 5.44354e-06 -5.41368e-06 -1.58306e-06 2.81768e-09 9.62960e-09 -6.54857e-09 8.90047e-09 -1.15504e-08 -1.94416e-09 1.14818e-09 -5.10196e-09 5.03395e-10 1.65873e-09
# precision: tgt 2.00e-03 max 4.10e-03 (205.0%) avg 3.75e-04 (18.7%)
-7.52318e-01 -2.06958e-03 -3.60587e-03 1.52312e-03 -1.24979e-06 -9.00867e-06 9.01013e-07 -4.89303e-06 4.93513e-06 -2.16270e-06 5.89012e-11 -4.42933e-09 -1.18124e-09 -7.72333e-09 4.97628e-09 1.03062e-09 -1.53168e-09 3.07702e-09 -1.90748e-09 2.33404e-09
# precision: tgt 2.00e-03 max 3.48e-03 (174.2%) avg 4.42e-04 (22.1%)
1.56033e+00 -1.41212e-03 -2.23213e-04 2.10956e-03 -2.19381e-06 -2.67963e-06 1.33690e-06 2.50590e-06 1.01621e-06 -4.11830e-06 -1.43500e-09 -2.85768e-09 1.25043e-09 1.29954e-09 4.70739e-09 1.87471e-09 2.03333e-09 -2.39306e-09 -5.21684e-11 3.16885e-09

#tofext2k_z18_q4
3 18 3 20
# precision: tgt 2.00e-03 max 2.76e-03 (138.0%) avg 2.55e-04 (12.7%)
-7.22868e-01 3.21699e-03 -3.34005e-03 1.15801e-03 -3.67265e-06 8.55136e-06 -5.58108e-06 -3.77369e-06 6.35135e-06 1.04215e-06 4.08908e-10 -3.20723e-09 6.72743e-09 4.41276e-09 -1.13385e-08 2.22419e-10 -5.39656e-10 5.22347e-09 -1.95365e-09 -1.86854e-09
# precision: tgt 2.00e-03 max 4.19e-03 (209.6%) avg 3.79e-04 (19.0%)
-6.90774e-01 2.93431e-03 -4.03763e-03 4.35320e-04 -4.41500e-06 1.22265e-05 1.95172e-07 -5.89793e-06 4.26910e-06 5.23476e-08 2.66743e-09 -9.17962e-09 -9.59710e-10 1.01010e-08 -4.61160e-09 -2.29946e-09 -2.01613e-09 3.29236e-09 -1.22921e-09 7.35938e-10
# precision: tgt 2.00e-03 max 3.32e-03 (165.8%) avg 4.50e-04 (22.5%)
1.91958e+00 1.46288e-03 -2.73625e-04 -7.95108e-04 -2.30412e-06 2.68142e-06 -1.60700e-06 2.56293e-06 1.47886e-06 3.84972e-06 1.47794e-09 -2.76085e-09 1.63570e-09 -1.47022e-09 -5.21584e-09 -1.85800e-09 2.12178e-09 -2.21168e-09 -5.01371e-10 -4.05379e-09

#tofext2k_z19_q1
3 19 0 20
# precision: tgt 2.00e-03 max 3.22e-03 (160.9%) avg 3.68e-04 (18.4%)
1.03393e+00 3.08672e-03 4.42114e-03 -1.14900e-02 -6.65426e-06 -1.37827e-05 1.17445e-06 -7.74827e-06 -4.04067e-06 2.77584e-05 2.81267e-09 8.98538e-09 6.47765e-09 1.11568e-08 8.59972e-09 -6.33444e-09 2.48350e-09 7.12682e-09 -2.35849e-10 -2.13123e-08
# precision: tgt 2.00e-03 max 3.83e-03 (191.6%) avg 3.94e-04 (19.7%)
4.81523e-01 3.96637e-03 2.47554e-03 -6.70373e-03 -8.41030e-06 -1.25591e-05 -2.43245e-06 -6.15418e-06 1.92461e-06 1.57813e-05 3.37418e-09 1.17459e-08 7.33748e-09 8.46589e-09 6.45935e-09 -1.68971e-09 3.24881e-09 5.42957e-09 -5.69528e-09 -1.17879e-08
# precision: tgt 2.00e-03 max 3.67e-03 (183.3%) avg 2.12e-04 (10.6%)
2.61951e+00 1.38424e-03 9.36954e-04 -6.79857e-03 -9.13758e-07 -4.72545e-06 -2.88826e-07 -1.32187e-07 9.44233e-07 1.80635e-05 1.03746e-09 4.68722e-09 -3.27071e-09 3.79653e-09 4.67569e-11 2.05677e-10 6.64168e-10 -3.66601e-09 -1.23643e-09 -1.60189e-08

#tofext2k_z19_q2
3 19 1 20
# precision: tgt 2.00e-03 max 3.28e-03 (164.2%) avg 2.92e-04 (14.6%)
-2.06477e-01 3.51615e-03 -4.37520e-03 5.56238e-03 7.36664e-06 -1.33955e-05 -7.54664e-07 7.66048e-06 4.61644e-06 -1.42611e-05 3.31586e-09 -9.66657e-09 -6.80402e-09 1.09443e-08 7.06577e-09 -3.23668e-09 -2.24828e-09 -7.44011e-09 -1.24956e-09 1.16776e-08
# precision: tgt 2.00e-03 max 3.57e-03 (178.3%) avg 3.76e-04 (18.8%)
3.17947e-01 -2.81301e-03 1.49169e-03 -3.98864e-03 -7.00079e-06 9.26525e-06 1.10354e-06 -5.20817e-06 2.93951e-06 8.38082e-06 -3.08674e-09 1.01109e-08 5.51786e-09 -6.85664e-09 -2.64170e-09 5.73837e-10 2.75056e-09 5.09826e-09 -4.96515e-09 -6.34654e-09
# precision: tgt 2.00e-03 max 3.52e-03 (176.1%) avg 2.01e-04 (10.1%)
2.11430e+00 -1.01112e-03 4.96127e-04 -2.64074e-03 -6.90498e-07 3.75816e-06 -1.59737e-07 5.87820e-09 1.85956e-06 7.90343e-06 -1.17119e-09 4.16050e-09 -3.40194e-09 -3.43575e-09 6.65595e-10 -1.78495e-10 7.69858e-10 -3.64012e-09 -1.95862e-09 -8.00007e-09

#tofext2k_z19_q3
3 19 2 20
# precision: tgt 2.00e-03 max 6.84e-03 (342.2%) avg 6.98e-04 (34.9%)
2.19318e+00 1.24355e-02 1.11991e-02 -1.24941e-03 1.80245e-05 3.31965e-05 -1.63312e-05 1.26260e-05 -1.66650e-05 -6.68104e-06 6.57428e-09 2.13997e-08 -1.75479e-08 1.85272e-08 -2.78436e-08 2.33559e-09 2.16892e-09 -1.28326e-08 5.45510e-09 7.52459e-09
# precision: tgt 2.00e-03 max 5.73e-03 (286.3%) avg 5.36e-04 (26.8%)
-1.62848e+00 -4.50174e-03 -8.14145e-03 2.90337e-03 -4.77886e-06 -2.16971e-05 -6.60134e-07 -1.20794e-05 8.61287e-06 -4.02719e-06 -2.29574e-09 -1.31507e-08 -2.61866e-09 -1.96770e-08 9.16952e-09 4.51347e-09 -5.17277e-09 5.27085e-09 -2.73888e-09 4.24188e-09
# precision: tgt 2.00e-03 max 5.91e-03 (295.7%) avg 8.82e-04 (44.1%)
1.54426e+00 -8.51632e-04 1.47814e-03 2.69329e-03 -1.81226e-06 1.42490e-06 1.48512e-06 7.12122e-06 5.86721e-07 -3.59385e-06 -2.02999e-09 -9.82709e-10 7.44100e-10 7.02927e-09 4.60324e-09 1.84716e-09 4.94101e-09 -4.53617e-09 -1.86323e-10 1.34741e-09

#tofext2k_z19_q4
3 19 3 20
# precision: tgt 2.00e-03 max 4.61e-03 (230.3%) avg 5.35e-04 (26.7%)
-1.76532e+00 9.87930e-03 -9.14083e-03 1.11074e-03 -1.28722e-05 2.39890e-05 -1.65252e-05 -9.22713e-06 1.72876e-05 7.28760e-06 3.42081e-09 -1.16746e-08 1.75368e-08 1.07795e-08 -2.83344e-08 2.31475e-09 -8.16028e-10 1.26573e-08 -6.07026e-09 -8.09470e-09
# precision: tgt 2.00e-03 max 5.42e-03 (270.8%) avg 6.40e-04 (32.0%)
-1.97660e+00 6.55064e-03 -9.47569e-03 3.26542e-03 -9.09642e-06 2.77157e-05 1.54899e-07 -1.38048e-05 8.85902e-06 -4.66302e-06 5.43589e-09 -2.01767e-08 -2.55707e-09 2.35063e-08 -9.62046e-09 -4.13460e-09 -5.69090e-09 5.71049e-09 -2.63202e-09 4.69192e-09
# precision: tgt 2.00e-03 max 6.00e-03 (299.9%) avg 8.86e-04 (44.3%)
2.04856e+00 1.03474e-03 1.35108e-03 -1.09442e-03 -1.62164e-06 -1.38553e-06 -2.36495e-06 7.30579e-06 1.22484e-06 5.73417e-06 1.66348e-09 -1.73845e-10 1.39714e-09 -7.83761e-09 -6.62710e-09 -1.98460e-09 5.24786e-09 -3.97457e-09 1.24049e-10 -5.78076e-09

#tofext2k_z2_q1
3 2 0 20
# precision: tgt 2.00e-03 max 3.09e-03 (154.4%) avg 7.46e-04 (37.3%)
5.36994e-01 -2.15189e-03 -1.94904e-03 9.15063e-04 3.74881e-06 6.54907e-06 9.88571e-07 1.55487e-06 -1.68234e-06 2.01137e-06 -8.47684e-10 -5.20607e-09 2.49545e-09 -2.86901e-09 1.72447e-09 2.35143e-09 1.44846e-09 2.48438e-09 -1.30902e-09 1.13183e-09
# precision: tgt 2.00e-03 max 5.40e-03 (270.1%) avg 8.22e-04 (41.1%)
4.08222e-01 -2.37635e-03 -2.19181e-03 6.23867e-04 5.01006e-06 9.14070e-06 -6.56361e-07 5.34901e-06 1.23161e-06 1.69749e-06 -2.39810e-09 -8.84575e-09 2.48811e-09 -8.74897e-09 1.24182e-09 1.12055e-10 -3.03880e-09 2.86112e-09 2.67390e-09 1.30821e-09
# precision: tgt 2.00e-03 max 4.70e-03 (235.0%) avg 2.29e-04 (11.4%)
1.82386e+00 1.44049e-04 8.46349e-05 -8.63959e-04 2.96735e-07 -8.12701e-07 3.47777e-07 7.80033e-07 2.69437e-07 -6.43371e-07 1.17694e-09 1.09853e-09 2.33401e-09 8.59576e-10 -1.40817e-09 -4.38432e-10 5.13387e-10 2.54682e-09 -4.47439e-10 2.60097e-10

#tofext2k_z2_q2
3 2 1 20
# precision: tgt 2.00e-03 max 3.83e-03 (191.4%) avg 5.83e-04 (29.2%)
-9.96969e-02 -1.15528e-03 1.18648e-03 9.83002e-04 -2.70591e-06 4.22353e-06 2.16310e-06 -9.30232e-07 5.91978e-07 1.94681e-06 -7.78309e-10 3.08422e-09 -1.99805e-09 -1.77853e-09 1.05920e-09 3.32159e-09 -1.47814e-09 -1.97514e-09 3.29566e-10 1.61322e-09
# precision: tgt 2.00e-03 max 4.73e-03 (236.6%) avg 8.40e-04 (42.0%)
-6.07710e-02 1.65966e-03 -1.42696e-03 -1.76490e-03 4.22994e-06 -7.59485e-06 -3.27956e-07 4.71030e-06 2.49706e-06 -3.43998e-06 2.28942e-09 -7.91978e-09 1.97049e-09 7.69137e-09 -9.04224e-10 -9.81003e-10 -3.20790e-09 2.35570e-09 3.87891e-09 -2.36360e-09
# precision: tgt 2.00e-03 max 4.46e-03 (222.9%) avg 3.02e-04 (15.1%)
1.86137e+00 5.04064e-04 -4.37880e-04 -1.69800e-03 1.58652e-06 -1.78830e-06 -1.00516e-06 1.13717e-06 9.31699e-07 -2.31882e-06 -2.66762e-10 -1.29480e-09 2.11143e-09 8.89868e-10 1.69930e-09 -2.56210e-10 9.30079e-10 2.14517e-09 8.91278e-11 -8.37348e-10

#tofext2k_z2_q3
3 2 2 20
# precision: tgt 2.00e-03 max 5.50e-03 (275.2%) avg 1.09e-03 (54.6%)
-7.43989e-02 -2.52759e-03 -3.10087e-03 2.09454e-03 -7.44337e-06 -1.22888e-05 2.80119e-06 -7.17193e-06 -1.51702e-07 4.25917e-06 -5.04481e-09 -1.20456e-08 -2.91602e-09 -1.29921e-08 -7.73539e-10 4.52599e-09 -3.51222e-09 -2.95973e-09 6.96735e-10 3.17300e-09
# precision: tgt 2.00e-03 max 4.78e-03 (239.1%) avg 6.67e-04 (33.4%)
1.58530e-01 3.05430e-04 8.34468e-04 6.38019e-04 1.35875e-06 2.30855e-06 -8.67403e-07 1.01262e-06 2.56003e-06 1.28252e-06 2.58991e-09 3.08510e-09 -2.26300e-09 4.00344e-09 -1.15649e-09 -4.70992e-10 1.21040e-09 -1.91172e-09 4.15608e-09 1.17134e-09
# precision: tgt 2.00e-03 max 3.74e-03 (187.1%) avg 3.81e-04 (19.1%)
1.76749e+00 -6.69140e-04 -6.46141e-04 -3.28502e-04 -2.00017e-07 -2.82684e-06 2.88079e-07 -1.69993e-07 2.81419e-07 4.62876e-07 -1.33661e-09 -3.44050e-09 4.02438e-09 -3.17771e-09 7.39150e-10 -1.27499e-10 -9.93032e-10 3.86633e-09 -2.51746e-10 1.26208e-09

#tofext2k_z2_q4
3 2 3 20
# precision: tgt 2.00e-03 max 5.93e-03 (296.3%) avg 1.25e-03 (62.6%)
6.08033e-01 -5.44823e-03 5.38186e-03 -1.67502e-03 1.31565e-05 -2.24917e-05 3.41658e-06 1.07006e-05 -5.40614e-07 -2.69721e-06 -8.18841e-09 2.30306e-08 2.93458e-09 -2.12350e-08 4.46881e-10 4.77675e-09 4.73452e-09 2.94882e-09 -9.13817e-10 -1.87321e-09
# precision: tgt 2.00e-03 max 4.69e-03 (234.5%) avg 9.32e-04 (46.6%)
2.34629e-01 7.98285e-04 4.50322e-04 1.86628e-03 -1.78458e-06 4.12105e-07 1.07556e-06 2.18821e-07 3.22658e-06 3.90521e-06 -1.39596e-10 -9.05176e-10 -3.24436e-09 -2.06881e-09 7.09004e-10 4.55005e-10 8.26022e-10 -1.89364e-09 4.70401e-09 3.16433e-09
# precision: tgt 2.00e-03 max 4.21e-03 (210.3%) avg 3.60e-04 (18.0%)
1.92067e+00 2.39268e-04 -3.32026e-04 3.51486e-04 -7.35054e-07 3.33599e-06 -3.12727e-06 -2.71366e-07 2.23631e-06 4.89719e-07 1.86778e-09 -5.16956e-09 4.56079e-09 4.16706e-09 -3.20538e-09 -1.92924e-09 -1.13353e-09 4.48408e-09 7.25456e-10 7.06971e-10

#tofext2k_z20_q1
3 20 0 20
# precision: tgt 2.00e-03 max 3.42e-03 (171.2%) avg 5.52e-04 (27.6%)
-2.30611e+00 5.12142e-03 3.88691e-03 1.03214e-02 -7.30350e-06 -1.20191e-05 -8.09962e-06 -6.02606e-06 -4.21210e-06 -1.90381e-05 4.11396e-09 9.57908e-09 5.74136e-09 1.08758e-08 3.83975e-09 5.61367e-09 1.08412e-09 5.06164e-09 2.77617e-09 1.12000e-08
# precision: tgt 2.00e-03 max 4.76e-03 (237.8%) avg 6.75e-04 (33.8%)
-1.04766e+00 2.14900e-03 1.84085e-03 5.58220e-03 -1.12716e-05 -1.82070e-05 1.17227e-05 -9.60939e-06 1.12013e-05 -1.93035e-05 5.21133e-09 1.95997e-08 5.19603e-09 1.53053e-08 1.35646e-09 -1.34081e-08 5.69623e-09 5.06921e-09 -1.33484e-08 1.81416e-08
# precision: tgt 2.00e-03 max 5.78e-03 (289.2%) avg 9.91e-04 (49.6%)
-1.42625e+01 -2.54247e-03 -1.40890e-03 1.07452e-01 3.41443e-08 -1.74265e-06 1.31053e-05 1.01358e-06 7.62908e-06 -2.36981e-04 1.48001e-09 5.04168e-09 -5.90947e-09 4.17638e-09 -7.03983e-09 -1.00629e-08 6.23536e-10 -6.26385e-09 -4.43282e-09 1.71822e-07

#tofext2k_z20_q2
3 20 1 20
# precision: tgt 2.00e-03 max 4.17e-03 (208.6%) avg 5.93e-04 (29.7%)
1.86263e+00 5.51834e-03 -4.15980e-03 -6.80037e-03 6.81367e-06 -1.09906e-05 -1.11907e-05 5.46159e-06 6.65262e-06 9.23056e-06 4.73988e-09 -9.78281e-09 -4.01634e-09 1.09294e-08 2.06488e-09 1.00638e-08 -1.30632e-09 -3.75174e-09 -6.25514e-09 -2.40986e-09
# precision: tgt 2.00e-03 max 4.45e-03 (222.3%) avg 5.90e-04 (29.5%)
7.63309e-01 -1.34916e-03 7.67967e-04 -5.19978e-03 -9.56153e-06 1.50683e-05 -1.14738e-05 -8.16102e-06 1.24076e-05 3.88808e-06 -4.92722e-09 1.69860e-08 3.74204e-09 -1.30373e-08 -6.11746e-10 1.25136e-08 5.25173e-09 4.27241e-09 -1.42782e-08 1.52930e-09
# precision: tgt 2.00e-03 max 5.59e-03 (279.7%) avg 9.18e-04 (45.9%)
-1.34505e+01 2.10293e-03 -1.45505e-03 1.02069e-01 5.53565e-07 5.39973e-07 -9.98444e-06 1.72002e-06 6.36566e-06 -2.24349e-04 -9.20331e-10 2.56823e-09 -4.50845e-09 -1.87569e-09 3.96344e-09 8.54440e-09 1.77846e-10 -5.47295e-09 -4.60711e-09 1.62719e-07

#tofext2k_z20_q3
3 20 2 20
# precision: tgt 2.00e-03 max 1.19e-02 (596.1%) avg 1.89e-03 (94.5%)
-8.31896e+00 9.78337e-03 6.56739e-03 6.26400e-02 3.00802e-05 4.96963e-05 1.81086e-05 1.64326e-05 1.79786e-05 -1.24609e-04 1.39051e-08 3.86220e-08 -2.10893e-08 2.89237e-08 -2.99433e-08 -3.65992e-08 1.63729e-09 -1.39007e-08 -3.22057e-08 7.79593e-08
# precision: tgt 2.00e-03 max 1.02e-02 (510.7%) avg 1.23e-03 (61.3%)
-9.63091e+00 -1.31271e-02 -1.72355e-02 4.41322e-02 -1.39908e-05 -4.62968e-05 1.10258e-05 -2.49408e-05 1.77562e-05 -8.67224e-05 -7.50941e-09 -3.33853e-08 -3.70390e-09 -4.45639e-08 9.48701e-09 -8.06231e-09 -1.25274e-08 5.12377e-09 -1.21480e-08 5.95250e-08
# precision: tgt 2.00e-03 max 1.23e-02 (613.7%) avg 1.79e-03 (89.7%)
-6.53862e+00 6.08893e-03 1.00463e-02 6.40806e-02 5.46828e-06 2.12591e-05 -9.44337e-06 1.84109e-05 -1.27084e-05 -1.43739e-04 7.31345e-10 1.19255e-08 -3.40326e-09 2.59165e-08 -3.56730e-09 8.61273e-09 1.26567e-08 -5.82205e-09 1.05109e-08 1.05768e-07

#tofext2k_z20_q4
3 20 3 20
# precision: tgt 2.00e-03 max 1.10e-02 (549.3%) avg 1.64e-03 (82.0%)
9.60297e+00 8.42407e-03 -5.19881e-03 -6.95326e-02 -2.58080e-05 4.34585e-05 1.63190e-05 -1.38227e-05 -1.77620e-05 1.39880e-04 1.08379e-08 -3.03326e-08 2.15982e-08 2.24376e-08 -3.31367e-08 -3.64350e-08 -5.33349e-10 1.40447e-08 3.34862e-08 -8.83571e-08
# precision: tgt 2.00e-03 max 1.04e-02 (518.8%) avg 1.45e-03 (72.3%)
-1.04655e+01 1.49210e-02 -1.83802e-02 4.79654e-02 -1.86066e-05 5.25920e-05 -1.02334e-05 -2.71204e-05 1.68615e-05 -9.54577e-05 1.08967e-08 -4.10335e-08 -3.68000e-09 4.91334e-08 -9.22865e-09 7.42916e-09 -1.34319e-08 5.59729e-09 -1.11931e-08 6.60032e-08
# precision: tgt 2.00e-03 max 1.25e-02 (624.4%) avg 1.77e-03 (88.7%)
-5.80610e+00 -6.34169e-03 1.02952e-02 5.95219e-02 6.13998e-06 -2.18511e-05 9.75612e-06 1.88970e-05 -1.31921e-05 -1.34155e-04 -1.62217e-09 1.35600e-08 -2.68825e-09 -2.72935e-08 1.77337e-09 -9.89549e-09 1.31367e-08 -5.42758e-09 1.18248e-08 9.94226e-08

#tofext2k_z21_q1
3 21 0 20
# precision: tgt 2.00e-03 max 3.84e-03 (192.0%) avg 6.13e-04 (30.6%)
-3.45861e+00 1.35218e-02 1.36040e-02 5.93545e-03 -9.35923e-06 -2.21730e-05 -3.09822e-05 -9.10102e-06 -3.11130e-05 4.31722e-06 4.46874e-09 1.18017e-08 7.89180e-09 1.38445e-08 1.75576e-08 2.10956e-08 1.11676e-09 8.71606e-09 2.17061e-08 -1.03564e-08
# precision: tgt 2.00e-03 max 5.58e-03 (278.8%) avg 8.45e-04 (42.3%)
-3.64938e+00 9.26608e-03 9.10440e-03 1.21911e-02 -1.88502e-05 -3.55090e-05 5.76440e-07 -1.61230e-05 -1.68925e-06 -2.35671e-05 8.57305e-09 3.15941e-08 8.44208e-09 2.58112e-08 1.22173e-08 -6.87059e-09 8.95017e-09 7.58943e-09 -4.97163e-09 1.67648e-08
# precision: tgt 2.00e-03 max 3.27e-03 (163.5%) avg 3.74e-04 (18.7%)
3.40428e+00 -3.41569e-04 -1.51805e-03 -5.52066e-03 -4.37965e-06 -6.09994e-06 7.73098e-06 -3.76076e-06 1.17608e-05 4.22240e-06 1.34685e-09 3.87605e-09 3.56575e-09 3.75316e-09 4.00102e-09 -9.72898e-09 1.06030e-09 2.72283e-09 -1.32606e-08 9.19153e-10

#tofext2k_z21_q2
3 21 1 20
# precision: tgt 2.00e-03 max 3.73e-03 (186.3%) avg 4.89e-04 (24.4%)
1.02100e+00 9.69523e-03 -1.00946e-02 4.14327e-03 8.79401e-06 -2.08566e-05 -1.72253e-05 9.01814e-06 1.82566e-05 -1.63770e-05 3.77305e-09 -1.02610e-08 -8.31586e-09 1.30659e-08 1.68816e-08 7.85049e-09 -1.23530e-09 -8.72269e-09 -9.59336e-09 1.34557e-08
# precision: tgt 2.00e-03 max 4.51e-03 (225.7%) avg 6.66e-04 (33.3%)
-2.14556e-01 -4.25561e-03 5.76974e-03 -3.15687e-03 -1.39329e-05 2.54142e-05 -9.68857e-06 -1.17989e-05 1.46726e-06 2.42538e-06 -6.89694e-09 2.50576e-08 4.91842e-09 -1.97188e-08 -5.86072e-09 1.23263e-08 7.35559e-09 5.00894e-09 -5.07112e-09 1.34171e-09
# precision: tgt 2.00e-03 max 3.14e-03 (157.1%) avg 2.86e-04 (14.3%)
3.55767e+00 1.13721e-03 -1.85684e-03 -5.85098e-03 -5.38575e-07 -7.28792e-07 -3.72352e-06 -5.17863e-07 6.49879e-06 7.04448e-06 -5.17983e-11 2.11173e-10 -3.16094e-11 -2.20942e-10 1.99558e-09 2.63814e-09 -2.47810e-11 -6.14567e-11 -5.34237e-09 -3.26466e-09

#tofext2k_z21_q3
3 21 2 20
# precision: tgt 2.00e-03 max 1.36e-02 (680.4%) avg 2.35e-03 (117.4%)
6.26465e+00 2.02963e-02 1.73852e-02 -1.94962e-02 3.39302e-05 5.34269e-05 -2.03734e-05 2.14063e-05 -2.05969e-05 2.99204e-05 1.86911e-08 5.07320e-08 -1.54199e-08 3.95082e-08 -1.41001e-08 1.09992e-08 4.34513e-09 -1.41178e-08 1.27235e-08 -1.51780e-08
# precision: tgt 2.00e-03 max 9.42e-03 (471.1%) avg 1.58e-03 (79.2%)
1.81087e-01 -1.23221e-02 -1.13578e-02 -1.70460e-02 -1.04420e-05 -4.19166e-05 1.06339e-05 -1.78609e-05 -7.29752e-07 4.00557e-05 -8.36405e-09 -3.24388e-08 -1.10079e-08 -4.58773e-08 -5.42985e-10 -1.07097e-08 -1.14924e-08 -9.66804e-09 -5.35230e-10 -2.83386e-08
# precision: tgt 2.00e-03 max 1.11e-02 (554.2%) avg 1.96e-03 (97.9%)
-1.08299e+01 -2.12424e-03 1.82381e-03 7.82713e-02 -7.79033e-06 1.17916e-05 1.33352e-05 8.16572e-06 1.23223e-05 -1.47857e-04 -2.62118e-09 7.68888e-09 1.68534e-08 2.32737e-08 1.04881e-08 -6.80860e-09 1.20828e-08 1.27857e-08 -7.61015e-09 9.17123e-08

#tofext2k_z21_q4
3 21 3 20
# precision: tgt 2.00e-03 max 1.03e-02 (515.1%) avg 2.00e-03 (100.0%)
-6.81170e+00 1.62580e-02 -1.44333e-02 2.63430e-02 -2.51527e-05 3.81016e-05 -2.14588e-05 -1.59499e-05 2.28395e-05 -4.25185e-05 1.42886e-08 -3.88565e-08 1.09911e-08 3.02571e-08 -5.90795e-09 1.65286e-08 -2.53340e-09 1.12465e-08 -1.86185e-08 2.14405e-08
# precision: tgt 2.00e-03 max 8.97e-03 (448.6%) avg 1.79e-03 (89.4%)
1.63474e+00 1.32676e-02 -1.16084e-02 -2.54355e-02 -1.85576e-05 5.27666e-05 -1.54666e-06 -2.22467e-05 -8.78338e-06 5.12943e-05 1.35569e-08 -4.47712e-08 -9.08236e-09 5.44208e-08 2.78875e-10 1.47571e-09 -1.36170e-08 -8.59218e-09 7.24154e-09 -3.25559e-08
# precision: tgt 2.00e-03 max 1.36e-02 (679.7%) avg 2.14e-03 (107.1%)
-1.29970e+01 -1.16024e-03 5.14830e-03 9.40965e-02 -1.04038e-06 -2.49990e-05 -1.40878e-05 1.42026e-05 1.22234e-05 -1.78183e-04 -4.95138e-10 1.71342e-08 1.33045e-08 -3.26872e-08 -4.03305e-09 1.09891e-08 1.50961e-08 1.04269e-08 -1.04123e-08 1.09987e-07

#tofext2k_z3_q1
3 3 0 20
# precision: tgt 2.00e-03 max 2.69e-03 (134.5%) avg 5.31e-04 (26.5%)
4.03697e-01 -1.79963e-03 -1.46853e-03 2.63615e-04 2.46989e-06 4.82604e-06 5.99942e-07 4.50970e-07 -1.52744e-06 1.98086e-07 -1.21981e-11 -3.58586e-09 1.65086e-09 -1.04078e-09 1.71521e-09 1.77401e-09 1.77639e-09 1.69804e-09 -1.18699e-09 -3.22051e-10
# precision: tgt 2.00e-03 max 4.64e-03 (231.8%) avg 6.16e-04 (30.8%)
2.41741e-01 -1.93095e-03 -1.76638e-03 -3.52853e-04 3.56394e-06 7.08250e-06 -1.03388e-06 3.96459e-06 1.00781e-06 -1.13058e-06 -1.63589e-09 -6.60282e-09 1.62752e-09 -6.81249e-09 8.88861e-10 -6.41142e-10 -2.16656e-09 1.92604e-09 2.07720e-09 -1.28151e-09
# precision: tgt 2.00e-03 max 3.98e-03 (199.1%) avg 3.53e-04 (17.6%)
1.87060e+00 -1.59742e-04 -2.46568e-04 -1.16424e-03 7.49283e-07 7.28498e-07 5.50081e-07 1.24127e-06 5.12759e-07 -1.65575e-06 4.67411e-10 -4.03516e-10 1.43020e-09 -8.82248e-10 -1.35340e-09 -1.67530e-10 -2.82805e-11 1.58729e-09 -1.59300e-10 -4.79957e-10

#tofext2k_z3_q2
3 3 1 20
# precision: tgt 2.00e-03 max 3.07e-03 (153.5%) avg 4.41e-04 (22.0%)
-1.96326e-01 -1.43513e-03 1.24278e-03 6.72669e-04 -2.53156e-06 4.44911e-06 1.03392e-06 -8.40804e-07 7.52683e-07 1.88708e-06 -7.05050e-10 3.32592e-09 -1.48600e-09 -1.79205e-09 1.57206e-09 2.22662e-09 -1.16245e-09 -1.46849e-09 2.04500e-10 1.75656e-09
# precision: tgt 2.00e-03 max 3.10e-03 (154.8%) avg 6.74e-04 (33.7%)
2.91980e-01 1.79307e-03 -1.65612e-03 4.83220e-04 3.98312e-06 -7.47537e-06 5.13392e-07 4.36313e-06 1.23098e-06 1.36609e-06 2.36423e-09 -7.63647e-09 1.52246e-09 7.52700e-09 -1.15897e-09 -8.89630e-11 -2.99262e-09 1.87610e-09 2.44370e-09 1.24209e-09
# precision: tgt 2.00e-03 max 4.06e-03 (203.0%) avg 3.87e-04 (19.4%)
2.03675e+00 1.03386e-03 -9.23770e-04 -1.35435e-03 2.14559e-06 -3.55228e-06 -5.38962e-07 1.68512e-06 5.10257e-07 -2.32070e-06 2.94919e-10 -3.09786e-09 1.33941e-09 2.51704e-09 1.29340e-09 6.39233e-11 1.53296e-10 1.28563e-09 -2.29644e-10 -1.10681e-09

#tofext2k_z3_q3
3 3 2 20
# precision: tgt 2.00e-03 max 5.11e-03 (255.7%) avg 9.49e-04 (47.5%)
-1.74719e-01 -2.48558e-03 -2.74832e-03 1.46974e-03 -6.69469e-06 -1.16161e-05 2.42208e-06 -6.33520e-06 7.21248e-07 2.91070e-06 -4.60930e-09 -1.14368e-08 -1.96921e-09 -1.20881e-08 -6.77697e-10 4.01817e-09 -3.24859e-09 -1.93987e-09 1.71385e-09 1.91726e-09
# precision: tgt 2.00e-03 max 3.96e-03 (198.0%) avg 5.93e-04 (29.6%)
1.00460e-01 5.11733e-04 8.22549e-04 3.57243e-04 2.29057e-06 3.50838e-06 -1.39757e-06 2.09364e-06 1.04035e-06 1.48023e-06 2.79388e-09 4.42390e-09 -1.35109e-09 5.09488e-09 -1.14371e-09 -1.13815e-09 1.86899e-09 -8.89562e-10 2.17090e-09 1.78352e-09
# precision: tgt 2.00e-03 max 2.79e-03 (139.5%) avg 2.55e-04 (12.7%)
1.85871e+00 -8.75194e-04 -7.75480e-04 2.29052e-04 -1.09860e-06 -3.65042e-06 5.31904e-07 -8.91325e-07 5.87008e-07 1.18947e-06 -1.41632e-09 -3.97620e-09 2.40113e-09 -3.45660e-09 -1.05776e-10 7.76258e-10 -1.08163e-09 2.38908e-09 6.44370e-10 1.46741e-09

#tofext2k_z3_q4
3 3 3 20
# precision: tgt 2.00e-03 max 6.47e-03 (323.7%) avg 1.12e-03 (56.2%)
7.03502e-01 -5.31535e-03 5.04938e-03 -1.12629e-03 1.19617e-05 -2.14499e-05 2.91840e-06 9.54180e-06 -8.51427e-07 -1.77987e-06 -7.59602e-09 2.21374e-08 1.29628e-09 -2.01021e-08 8.98187e-10 3.77559e-09 4.42509e-09 1.33367e-09 -9.16013e-10 -1.19269e-09
# precision: tgt 2.00e-03 max 4.04e-03 (201.8%) avg 8.30e-04 (41.5%)
1.74036e-01 3.53839e-04 4.94355e-04 1.57433e-03 -5.01193e-07 -9.97576e-07 9.49195e-07 1.29525e-06 1.95333e-06 4.20916e-06 -4.51949e-10 8.17153e-10 -1.97781e-09 -3.30464e-09 9.23630e-10 3.16293e-10 1.49228e-09 -1.00880e-09 3.33336e-09 3.83906e-09
# precision: tgt 2.00e-03 max 3.37e-03 (168.3%) avg 3.60e-04 (18.0%)
1.73637e+00 1.45177e-03 -1.32164e-03 4.19620e-06 -2.58210e-06 6.22385e-06 -7.62683e-07 -2.14805e-06 7.57525e-07 4.74173e-07 2.63832e-09 -7.88073e-09 3.22243e-09 6.59056e-09 -2.23215e-09 3.85528e-10 -2.24003e-09 3.13872e-09 -4.82055e-10 1.43037e-09

#tofext2k_z4_q1
3 4 0 20
# precision: tgt 2.00e-03 max 3.22e-03 (160.8%) avg 2.79e-04 (13.9%)
1.30089e-01 2.74348e-05 -5.58000e-04 4.37783e-04 8.12354e-08 1.40769e-06 2.98443e-06 -5.87572e-08 -1.27006e-06 2.00145e-06 3.74914e-10 -7.73849e-10 -6.12471e-11 -8.09190e-10 3.60500e-10 3.90476e-09 5.31891e-10 -3.83239e-10 -2.17788e-09 2.61655e-09
# precision: tgt 2.00e-03 max 3.51e-03 (175.6%) avg 3.46e-04 (17.3%)
-1.66313e+00 -3.88186e-04 -2.70286e-04 -1.63437e-02 3.35560e-06 6.85557e-06 8.60108e-06 3.43804e-06 9.90156e-06 -4.45562e-05 -1.53925e-09 -5.14863e-09 2.45327e-09 -4.59865e-09 5.57928e-09 1.73501e-08 -1.35499e-09 3.72548e-09 1.95450e-08 -3.74857e-08
# precision: tgt 2.00e-03 max 4.73e-03 (236.7%) avg 2.17e-04 (10.8%)
4.22381e-01 7.65032e-04 2.45815e-05 -1.40852e-02 -3.70419e-07 -1.33595e-06 2.21426e-06 1.68766e-07 -1.79737e-06 -4.31615e-05 7.40067e-10 1.63786e-09 8.98567e-10 1.14184e-09 -1.95251e-11 2.75513e-09 3.32011e-10 1.40248e-09 -3.10182e-09 -4.38696e-08

#tofext2k_z4_q2
3 4 1 20
# precision: tgt 2.00e-03 max 2.93e-03 (146.4%) avg 2.81e-04 (14.1%)
-1.30873e+00 -2.30582e-03 1.75150e-03 -8.43681e-03 -9.29586e-07 2.67909e-06 -9.41585e-06 -6.55441e-07 6.75017e-06 -1.88988e-05 -1.93629e-10 8.04141e-10 -1.66804e-09 -7.94490e-10 5.04329e-09 -1.12597e-08 -3.07727e-10 -1.69444e-09 6.77065e-09 -1.43652e-08
# precision: tgt 2.00e-03 max 2.85e-03 (142.4%) avg 3.11e-04 (15.5%)
-1.80421e+00 2.24370e-04 -1.08763e-04 -1.70862e-02 3.32456e-06 -6.31461e-06 -8.57641e-06 3.27395e-06 9.61663e-06 -4.64691e-05 1.42594e-09 -4.35866e-09 3.70872e-09 3.69754e-09 -7.07154e-09 -1.87721e-08 -1.31700e-09 4.49369e-09 2.02144e-08 -3.85223e-08
# precision: tgt 2.00e-03 max 5.74e-03 (287.1%) avg 2.30e-04 (11.5%)
1.90754e+00 1.11522e-03 -1.50216e-03 -2.84033e-03 1.84994e-06 -2.30725e-06 3.43224e-06 1.64647e-06 -6.07750e-06 -1.18663e-05 9.46879e-10 -2.55572e-09 1.06543e-09 2.12631e-09 2.66170e-10 5.81013e-09 -5.09457e-10 1.49359e-09 -9.68146e-09 -1.53052e-08

#tofext2k_z4_q3
3 4 2 20
# precision: tgt 2.00e-03 max 4.80e-03 (239.8%) avg 3.52e-04 (17.6%)
3.22932e+00 6.08734e-04 8.07986e-04 2.96778e-02 -1.36144e-06 -3.90358e-06 1.04061e-05 -1.08327e-06 1.09597e-05 8.49518e-05 -2.47465e-10 -1.76863e-09 -1.97670e-09 -2.50881e-09 -4.73716e-09 1.97001e-08 -2.66490e-10 -2.59205e-10 1.97161e-08 7.80911e-08
# precision: tgt 2.00e-03 max 4.23e-03 (211.4%) avg 3.67e-04 (18.3%)
-3.53265e-01 -1.21307e-04 8.31931e-05 -3.02590e-03 2.08348e-06 4.13376e-06 -7.26540e-06 2.14657e-06 -5.71400e-06 -3.57398e-06 1.78419e-09 4.12520e-09 -1.21682e-09 4.43811e-09 -7.97565e-10 -1.01297e-08 8.56461e-10 6.62112e-10 -9.31292e-09 1.98355e-09
# precision: tgt 2.00e-03 max 3.81e-03 (190.5%) avg 3.19e-04 (15.9%)
1.78083e+00 5.23595e-04 1.05550e-03 -3.70769e-03 -1.44271e-06 -2.60466e-06 7.89587e-06 1.55170e-07 9.03573e-06 -1.83427e-05 -1.38287e-09 -3.01529e-09 4.12799e-10 -1.75759e-09 -1.05429e-09 1.27468e-08 5.64412e-11 1.90540e-09 1.35800e-08 -2.54763e-08

#tofext2k_z4_q4
3 4 3 20
# precision: tgt 2.00e-03 max 6.14e-03 (307.1%) avg 4.62e-04 (23.1%)
-2.04273e+00 -3.01144e-03 2.57464e-03 -2.46064e-02 6.08914e-06 -1.30637e-05 3.67083e-06 4.21424e-06 -3.34361e-06 -7.53364e-05 -2.74016e-09 1.00304e-08 3.49869e-09 -8.89264e-09 -8.58487e-09 1.19582e-08 1.24226e-09 1.63819e-09 -1.09179e-08 -7.28409e-08
# precision: tgt 2.00e-03 max 4.41e-03 (220.5%) avg 3.56e-04 (17.8%)
7.21448e-01 3.19129e-04 4.43081e-04 6.65519e-03 -1.90394e-06 8.02109e-07 -1.19123e-06 3.65080e-07 2.94612e-06 1.97216e-05 1.78444e-09 -3.24692e-09 4.99672e-10 2.62389e-10 -2.68230e-09 1.57369e-10 -9.65291e-11 1.41763e-09 1.64579e-09 2.08205e-08
# precision: tgt 2.00e-03 max 3.37e-03 (168.4%) avg 3.49e-04 (17.4%)
4.91057e-01 8.79036e-04 -3.92018e-04 -1.36679e-02 -2.81719e-06 4.69485e-06 -2.39544e-06 -7.69175e-07 2.86063e-06 -4.50452e-05 2.19146e-09 -5.07456e-09 -1.04596e-09 3.64575e-09 1.89659e-09 -5.73017e-09 -5.94822e-10 1.72187e-09 4.48379e-09 -4.90438e-08

#tofext2k_z5_q1
3 5 0 20
# precision: tgt 2.00e-03 max 5.28e-03 (264.2%) avg 1.66e-04 (8.3%)
5.86802e-01 -1.27756e-03 -1.18953e-03 3.89740e-03 1.57141e-06 3.38013e-06 -2.40057e-06 1.26030e-06 -2.51169e-06 1.15624e-05 -3.83733e-10 -1.91856e-09 2.61586e-09 -1.72044e-09 4.66846e-09 -1.14296e-09 1.90748e-11 2.45679e-09 -3.44005e-10 1.31054e-08
# precision: tgt 2.00e-03 max 3.37e-03 (168.5%) avg 1.66e-04 (8.3%)
-2.15461e-01 -8.97994e-04 -8.25958e-04 -3.89603e-03 1.69167e-06 3.26502e-06 -1.08372e-07 1.51050e-06 5.61097e-07 -1.38663e-05 -9.74944e-10 -3.58849e-09 -2.95489e-10 -3.29266e-09 -1.47924e-09 -1.58946e-09 -8.83522e-10 -3.84121e-10 -1.46703e-09 -1.76065e-08
# precision: tgt 2.00e-03 max 5.14e-03 (256.9%) avg 9.30e-05 (4.7%)
2.48192e+00 -1.72592e-04 -3.12497e-04 4.50110e-03 3.92747e-07 4.42535e-07 -4.97563e-07 5.72764e-07 -1.45020e-06 1.55819e-05 7.83631e-11 -1.97630e-10 2.42152e-10 -2.91823e-10 4.63393e-10 -8.19446e-10 -7.63172e-11 5.47414e-10 -2.25311e-09 1.92238e-08

#tofext2k_z5_q2
3 5 1 20
# precision: tgt 2.00e-03 max 1.99e-03 (99.5%) avg 3.41e-04 (17.0%)
-7.04329e-02 2.12056e-04 -3.42036e-04 -2.16595e-03 -8.20715e-07 -2.01862e-07 2.21062e-06 -4.92777e-07 -1.86133e-06 -1.10491e-05 -6.21076e-11 6.76077e-10 -1.56926e-09 1.37062e-11 -2.53323e-09 7.20333e-10 -2.03190e-10 -2.10139e-09 -1.25915e-09 -1.35067e-08
# precision: tgt 2.00e-03 max 1.79e-03 (89.3%) avg 2.76e-04 (13.8%)
-4.35342e-01 3.72555e-04 9.23094e-05 -4.59097e-03 9.31861e-07 -6.42523e-07 4.31949e-07 1.98835e-07 2.04850e-06 -1.49514e-05 5.25823e-11 -1.51568e-09 8.44663e-10 1.26707e-09 4.69287e-09 4.13086e-09 -1.44989e-10 -1.60468e-09 -2.70337e-09 -2.01660e-08
# precision: tgt 2.00e-03 max 5.45e-03 (272.7%) avg 1.24e-04 (6.2%)
2.56806e+00 7.13777e-04 -5.38660e-04 4.79757e-03 1.96647e-06 -2.61371e-06 2.39760e-07 1.50259e-06 2.95512e-07 1.74892e-05 1.20119e-09 -3.00819e-09 5.98419e-10 2.53640e-09 3.75180e-10 4.83720e-10 -7.00365e-10 3.50692e-10 1.63245e-10 2.19404e-08

#tofext2k_z5_q3
3 5 2 20
# precision: tgt 2.00e-03 max 1.04e-03 (51.9%) avg 1.49e-04 (7.5%)
3.85133e-02 -6.96263e-04 -1.03958e-03 2.11241e-03 -7.71536e-07 -2.58209e-06 -4.21795e-07 -1.40216e-06 -2.23402e-06 8.94376e-06 2.55731e-11 -1.04805e-09 -1.51074e-09 -1.93592e-09 -3.27086e-09 1.21846e-09 -4.80504e-10 -1.68663e-09 -1.30579e-09 1.07451e-08
# precision: tgt 2.00e-03 max 2.96e-03 (148.0%) avg 1.60e-04 (8.0%)
3.32347e-01 5.52177e-04 6.47238e-04 2.48203e-03 1.32040e-06 2.16659e-06 -5.74029e-07 6.22005e-07 1.70002e-06 8.62472e-06 1.24690e-09 2.15965e-09 -7.66143e-10 1.62926e-09 8.00481e-10 -1.14280e-09 -3.49464e-11 4.55832e-10 1.38365e-09 1.05935e-08
# precision: tgt 2.00e-03 max 3.81e-03 (190.6%) avg 2.04e-04 (10.2%)
1.98780e+00 -1.32527e-03 -1.20607e-03 2.37880e-03 -9.71621e-07 -3.41537e-06 -3.21262e-06 -5.22716e-07 -3.09824e-06 1.25155e-05 -8.56234e-10 -2.71300e-09 5.95609e-10 -2.54510e-09 -2.90738e-09 -3.13136e-09 -7.14206e-10 2.11003e-09 -4.02490e-09 1.79000e-08

#tofext2k_z5_q4
3 5 3 20
# precision: tgt 2.00e-03 max 2.01e-03 (100.6%) avg 2.61e-04 (13.0%)
5.91726e-01 -2.23205e-03 1.91527e-03 2.26124e-03 2.91767e-06 -5.90054e-06 -3.95332e-06 1.89718e-06 3.75282e-06 4.34140e-06 -1.32181e-09 5.03052e-09 1.45961e-09 -4.14007e-09 -2.81875e-09 -5.77792e-09 2.27213e-10 1.32336e-09 4.53534e-09 1.77563e-09
# precision: tgt 2.00e-03 max 3.71e-03 (185.6%) avg 2.27e-04 (11.3%)
-2.28636e-02 1.23959e-03 -5.79417e-04 1.29445e-03 -3.41452e-06 4.14153e-06 -7.45456e-07 -1.22681e-06 2.08481e-06 3.55297e-06 2.51830e-09 -5.77201e-09 -3.46566e-10 3.18443e-09 -1.31892e-09 -5.34560e-10 -8.55415e-10 9.10265e-10 1.30534e-09 3.97631e-09
# precision: tgt 2.00e-03 max 3.96e-03 (198.0%) avg 2.24e-04 (11.2%)
1.75217e+00 1.99385e-03 -1.53630e-03 6.86292e-04 -2.17730e-06 5.17554e-06 4.91607e-06 -1.32201e-06 -2.70776e-06 7.09948e-06 1.67203e-09 -4.41328e-09 -6.81749e-10 4.00436e-09 4.02431e-09 4.62162e-09 -1.12461e-09 1.40308e-09 -2.29291e-09 1.17655e-08

#tofext2k_z6_q1
3 6 0 20
# precision: tgt 2.00e-03 max 4.16e-03 (207.8%) avg 1.65e-04 (8.2%)
1.07542e-01 -6.04091e-04 -3.56502e-04 8.70072e-05 1.10988e-06 1.75908e-06 2.58037e-07 1.09547e-07 -1.70729e-07 -7.74940e-08 -6.81869e-10 -2.00799e-09 -4.89359e-11 -8.92605e-10 4.66773e-10 3.56416e-12 2.56419e-10 -2.74129e-10 -4.48682e-12 -1.00206e-10
# precision: tgt 2.00e-03 max 3.17e-03 (158.7%) avg 1.48e-04 (7.4%)
1.58843e-01 -7.18366e-04 -8.46804e-04 1.13128e-04 9.95970e-07 2.97386e-06 -7.76547e-08 1.41159e-06 3.67956e-07 3.91443e-08 -4.61029e-10 -2.34453e-09 -4.01193e-10 -3.00107e-09 2.60473e-10 -5.21172e-11 -7.23142e-10 -2.01067e-10 -3.87803e-11 2.93036e-11
# precision: tgt 2.00e-03 max 5.13e-03 (256.6%) avg 7.52e-05 (3.8%)
2.07209e+00 -1.90759e-04 -1.85537e-04 -6.78980e-05 5.67511e-07 7.82062e-07 8.93628e-08 6.18802e-07 -1.48767e-08 -7.39150e-07 -1.54280e-10 -7.38008e-10 -1.83489e-10 -7.10790e-10 5.80394e-11 -1.55344e-11 -2.04778e-10 2.81848e-11 5.30214e-11 -1.77893e-10

#tofext2k_z6_q2
3 6 1 20
# precision: tgt 2.00e-03 max 1.54e-03 (76.8%) avg 9.35e-05 (4.7%)
-7.19706e-02 -4.29249e-04 2.92396e-04 -2.19649e-05 -8.91761e-07 1.44589e-06 5.16337e-07 -3.68082e-07 -1.14597e-07 8.45200e-08 -6.61491e-10 1.69159e-09 3.98058e-10 -1.06842e-09 -4.73586e-11 2.64460e-11 1.95011e-10 4.52516e-10 -1.89050e-11 1.07609e-10
# precision: tgt 2.00e-03 max 2.42e-03 (120.8%) avg 7.55e-05 (3.8%)
4.51883e-02 1.97362e-04 -2.38405e-04 4.25049e-05 2.79236e-07 -8.58572e-07 2.97701e-08 3.91185e-07 4.69864e-07 -1.30889e-07 2.23179e-10 -6.94228e-10 -3.26600e-10 8.90533e-10 1.05818e-11 -5.22910e-11 -2.42621e-10 -2.29925e-10 3.52490e-11 -1.60111e-10
# precision: tgt 2.00e-03 max 5.26e-03 (263.0%) avg 1.01e-04 (5.1%)
2.11551e+00 5.34929e-04 -4.38327e-04 -9.93643e-05 1.51540e-06 -2.10747e-06 -1.62507e-07 1.14560e-06 2.56573e-07 -5.56405e-07 9.56395e-10 -2.45453e-09 -2.67109e-11 2.04050e-09 4.98256e-10 -1.01247e-10 -5.63802e-10 -2.03231e-10 2.16371e-11 6.86822e-11

#tofext2k_z6_q3
3 6 2 20
# precision: tgt 2.00e-03 max 3.76e-03 (188.2%) avg 1.31e-04 (6.6%)
2.33614e-02 3.28982e-04 1.44637e-04 -5.04021e-05 9.58758e-07 9.60602e-07 6.04240e-07 2.34886e-07 -4.63719e-08 -4.74500e-08 7.62278e-10 1.35706e-09 6.41695e-10 6.31206e-10 1.28068e-10 -1.22440e-10 9.51212e-11 9.40361e-11 -9.27929e-11 1.46791e-11
# precision: tgt 2.00e-03 max 3.17e-03 (158.6%) avg 1.02e-04 (5.1%)
8.04105e-02 5.97028e-04 4.79948e-04 5.70848e-05 1.49861e-06 2.08968e-06 1.61930e-07 9.45663e-07 6.64155e-07 2.77885e-08 1.28072e-09 2.26277e-09 1.41581e-10 1.94209e-09 6.15834e-10 -8.98224e-11 5.77001e-10 2.69143e-10 -4.66193e-11 9.72517e-11
# precision: tgt 2.00e-03 max 4.09e-03 (204.6%) avg 1.77e-04 (8.8%)
1.79995e+00 -1.19898e-03 -1.15671e-03 -4.92857e-04 -1.65035e-06 -4.10352e-06 -1.20954e-06 -1.59504e-06 -1.19742e-06 -1.16719e-06 -8.85210e-10 -3.54780e-09 -8.57174e-10 -3.26213e-09 -2.21660e-09 -5.63623e-10 -9.11095e-10 -8.47263e-10 -3.29816e-10 -6.26962e-10

#tofext2k_z6_q4
3 6 3 20
# precision: tgt 2.00e-03 max 2.40e-03 (120.2%) avg 1.92e-04 (9.6%)
2.32431e-01 -1.29123e-03 1.01122e-03 8.53130e-05 2.27263e-06 -4.36628e-06 3.00963e-07 1.14264e-06 1.15654e-07 -3.62077e-08 -1.24621e-09 4.41845e-09 -1.55300e-10 -3.24483e-09 -3.97481e-10 -9.66970e-11 1.65125e-10 -2.52379e-10 -6.85984e-11 -6.71875e-11
# precision: tgt 2.00e-03 max 4.32e-03 (215.9%) avg 2.36e-04 (11.8%)
-3.41100e-01 2.17631e-03 -1.82615e-03 6.00119e-05 -4.48908e-06 7.77596e-06 -5.19786e-08 -3.15130e-06 6.50550e-07 1.92084e-07 3.00449e-09 -8.36267e-09 1.13788e-10 6.59154e-09 -1.68225e-10 6.97202e-11 -1.81336e-09 3.41372e-10 6.62948e-11 3.00667e-10
# precision: tgt 2.00e-03 max 3.74e-03 (186.8%) avg 1.92e-04 (9.6%)
1.79867e+00 1.35974e-03 -1.24547e-03 -2.80480e-04 -2.30216e-06 4.94372e-06 7.38548e-07 -1.91345e-06 -5.28017e-07 -9.38423e-07 1.52740e-09 -4.80999e-09 -7.56610e-10 4.27330e-09 1.28153e-09 7.58344e-12 -1.18495e-09 -4.24039e-10 1.32210e-10 -5.79353e-10

#tofext2k_z7_q1
3 7 0 20
# precision: tgt 2.00e-03 max 2.59e-03 (129.3%) avg 1.58e-04 (7.9%)
8.04697e-02 -4.22733e-04 -2.05586e-04 1.53385e-04 8.15203e-07 1.16237e-06 2.78440e-07 -1.20137e-07 -1.55099e-07 2.30787e-07 -5.90680e-10 -1.43332e-09 -1.28098e-10 -4.72704e-10 4.46511e-10 2.26488e-11 3.68517e-10 -3.43277e-10 1.20166e-11 4.49301e-10
# precision: tgt 2.00e-03 max 3.08e-03 (153.8%) avg 1.25e-04 (6.2%)
1.48153e-01 -6.91600e-04 -7.83105e-04 9.81323e-05 9.94532e-07 2.84170e-06 -3.75996e-08 1.31845e-06 4.00006e-07 -2.19357e-08 -4.66591e-10 -2.35057e-09 -4.18654e-10 -2.81951e-09 2.99925e-10 1.06697e-10 -7.30391e-10 -2.33609e-10 8.20075e-11 5.67510e-11
# precision: tgt 2.00e-03 max 5.19e-03 (259.7%) avg 7.51e-05 (3.8%)
2.07924e+00 -2.46165e-04 -2.25515e-04 -7.17985e-05 7.14985e-07 9.95559e-07 1.60254e-07 7.02671e-07 4.41734e-08 -6.71245e-07 -2.74855e-10 -1.03127e-09 -2.72488e-10 -9.26788e-10 -1.52238e-10 -1.01288e-10 -2.60985e-10 -3.54411e-11 -3.71899e-11 -1.52806e-10

#tofext2k_z7_q2
3 7 1 20
# precision: tgt 2.00e-03 max 2.01e-03 (100.5%) avg 8.20e-05 (4.1%)
-6.43840e-02 -3.64415e-04 2.54019e-04 -4.92231e-05 -7.70029e-07 1.25488e-06 4.84630e-07 -3.18732e-07 -1.02271e-07 3.89847e-08 -6.33034e-10 1.46861e-09 4.55620e-10 -9.88875e-10 -5.06373e-11 -5.21280e-11 1.77802e-10 5.18247e-10 1.98130e-11 9.97371e-11
# precision: tgt 2.00e-03 max 3.04e-03 (151.9%) avg 6.22e-05 (3.1%)
4.37706e-02 1.79393e-04 -1.98605e-04 9.37771e-05 2.39224e-07 -7.40101e-07 6.69200e-08 3.16846e-07 4.17735e-07 1.09118e-08 1.80980e-10 -6.60551e-10 -3.78907e-10 7.29959e-10 -1.78965e-13 2.74751e-11 -2.52442e-10 -2.79949e-10 -8.61443e-11 -2.49876e-11
# precision: tgt 2.00e-03 max 5.27e-03 (263.7%) avg 9.60e-05 (4.8%)
2.12620e+00 5.53303e-04 -4.73925e-04 -5.28528e-05 1.45893e-06 -2.12659e-06 1.87417e-08 1.15988e-06 9.67286e-08 -5.72342e-07 8.67764e-10 -2.31480e-09 1.31603e-10 1.99283e-09 9.09791e-11 -1.75084e-10 -5.45259e-10 -8.50858e-11 1.12510e-10 1.35833e-10

#tofext2k_z7_q3
3 7 2 20
# precision: tgt 2.00e-03 max 2.64e-03 (131.8%) avg 1.14e-04 (5.7%)
8.99023e-03 2.04063e-04 4.18596e-05 1.17382e-05 6.39500e-07 4.55839e-07 7.26832e-07 4.18264e-08 6.59124e-08 1.25136e-07 4.98885e-10 7.99026e-10 6.70393e-10 1.59400e-10 1.68736e-10 1.30665e-10 4.51340e-12 1.16520e-10 1.47855e-10 1.01808e-10
# precision: tgt 2.00e-03 max 2.94e-03 (147.0%) avg 1.02e-04 (5.1%)
8.36065e-02 5.90297e-04 4.41597e-04 8.67286e-05 1.40016e-06 1.91335e-06 2.42516e-07 7.72563e-07 7.18989e-07 1.28415e-07 1.13214e-09 2.07272e-09 1.49214e-10 1.60597e-09 5.85993e-10 1.66418e-10 4.13589e-10 2.89942e-10 1.32440e-10 9.66017e-11
# precision: tgt 2.00e-03 max 4.56e-03 (228.0%) avg 1.10e-04 (5.5%)
1.89807e+00 -7.97803e-04 -7.21732e-04 -2.41493e-04 -1.16270e-06 -2.77890e-06 -6.24041e-07 -9.59362e-07 -6.13948e-07 -7.52029e-07 -7.74010e-10 -2.66418e-09 -3.98325e-10 -2.21944e-09 -1.29111e-09 -3.27962e-10 -6.16505e-10 -4.86199e-10 1.63013e-11 -2.86370e-10

#tofext2k_z7_q4
3 7 3 20
# precision: tgt 2.00e-03 max 2.18e-03 (109.2%) avg 1.85e-04 (9.2%)
2.27917e-01 -1.27473e-03 1.02606e-03 9.28100e-05 2.31596e-06 -4.37564e-06 2.60605e-07 1.19267e-06 2.70422e-07 -1.24015e-07 -1.39810e-09 4.43560e-09 -1.97397e-10 -3.33476e-09 -6.03193e-10 -5.01517e-11 1.69263e-10 -6.76889e-11 -1.03388e-10 -1.21707e-10
# precision: tgt 2.00e-03 max 3.74e-03 (186.8%) avg 2.03e-04 (10.1%)
-3.37173e-01 2.15837e-03 -1.87561e-03 3.16202e-05 -4.56988e-06 7.95666e-06 -2.11139e-07 -3.40490e-06 6.64483e-07 -6.74466e-08 3.18088e-09 -8.61923e-09 3.13837e-10 7.06596e-09 -4.37617e-10 6.91463e-11 -2.07345e-09 4.09013e-10 -1.40381e-10 -8.21834e-11
# precision: tgt 2.00e-03 max 4.59e-03 (229.5%) avg 1.43e-04 (7.1%)
1.87124e+00 1.00689e-03 -9.00663e-04 -1.75046e-04 -1.73602e-06 3.68853e-06 5.39353e-07 -1.35148e-06 -3.50403e-07 -7.56704e-07 1.25022e-09 -3.71267e-09 -6.56070e-10 3.20454e-09 9.96896e-10 -1.70226e-10 -8.87403e-10 -3.25048e-10 2.77000e-10 -5.73868e-10

#tofext2k_z8_q1
3 8 0 20
# precision: tgt 2.00e-03 max 2.03e-03 (101.7%) avg 2.19e-04 (10.9%)
3.35467e-02 -3.91467e-04 -2.24186e-04 5.63550e-05 6.21265e-07 3.35128e-07 -3.21860e-06 3.27300e-08 -3.26097e-06 -4.28663e-06 -2.19734e-11 2.21716e-10 5.06702e-09 8.53263e-10 6.66474e-09 -1.23397e-09 5.00085e-10 4.65880e-09 -5.51951e-11 -1.20284e-08
# precision: tgt 2.00e-03 max 4.99e-03 (249.3%) avg 1.90e-04 (9.5%)
9.46324e-03 -4.58407e-04 -5.50135e-04 -1.42791e-03 6.27423e-07 1.40725e-06 -2.02471e-06 9.65415e-07 -1.55309e-06 -1.34005e-05 8.16473e-11 -4.86717e-10 3.70347e-09 -1.08043e-09 3.77034e-09 7.69462e-11 -2.21668e-10 3.42240e-09 -1.01739e-09 -3.58501e-08
# precision: tgt 2.00e-03 max 4.77e-03 (238.3%) avg 1.61e-04 (8.0%)
2.04802e+00 -4.04099e-04 -3.36165e-04 -1.57482e-03 8.66244e-07 1.40734e-06 -5.54248e-07 7.98924e-07 -1.55610e-07 -1.40342e-05 -4.30463e-10 -1.51642e-09 -1.03833e-09 -1.32469e-09 -6.15049e-10 -3.99663e-09 -3.63552e-10 -7.07998e-10 -1.69553e-09 -3.84331e-08

#tofext2k_z8_q2
3 8 1 20
# precision: tgt 2.00e-03 max 1.76e-03 (88.0%) avg 1.23e-04 (6.1%)
-2.66999e-02 -2.50221e-04 1.80568e-04 -2.91983e-04 -7.25018e-07 7.14356e-07 9.95028e-08 -4.23627e-07 4.17008e-07 -3.66313e-06 -3.57437e-10 8.40998e-10 -1.74744e-09 -4.36228e-10 3.65595e-10 -4.22781e-10 6.73355e-11 -1.91153e-09 3.54561e-10 -9.49178e-09
# precision: tgt 2.00e-03 max 5.00e-03 (250.0%) avg 1.79e-04 (8.9%)
-1.51175e-01 -1.52161e-05 1.89126e-06 -3.06759e-03 1.30980e-07 1.68144e-07 4.46116e-07 1.56379e-07 7.43797e-08 -2.35768e-05 -9.70220e-11 3.36213e-10 2.34085e-09 -1.83007e-10 -6.10307e-10 -6.56675e-10 6.68087e-11 1.93555e-09 -1.79011e-10 -6.21449e-08
# precision: tgt 2.00e-03 max 4.91e-03 (245.6%) avg 1.55e-04 (7.7%)
2.08582e+00 4.99992e-04 -3.74765e-04 -8.17299e-04 1.10564e-06 -1.48487e-06 1.78230e-06 8.06511e-07 -9.40635e-07 -9.77753e-06 6.10683e-10 -1.45263e-09 6.95308e-10 1.15378e-09 -1.73937e-09 3.27639e-09 -3.15389e-10 3.18389e-10 -7.38839e-10 -2.65818e-08

#tofext2k_z8_q3
3 8 2 20
# precision: tgt 2.00e-03 max 1.70e-03 (85.0%) avg 1.43e-04 (7.1%)
8.35500e-02 1.03954e-04 4.48265e-06 1.54924e-03 2.43278e-07 2.27378e-07 6.20201e-07 -1.71562e-07 2.55364e-08 1.05549e-05 4.37994e-10 4.75969e-10 -9.47413e-10 3.78710e-11 4.44478e-10 -3.49985e-10 -2.23486e-11 -1.00508e-09 -9.55097e-10 2.85591e-08
# precision: tgt 2.00e-03 max 2.58e-03 (129.2%) avg 1.38e-04 (6.9%)
1.27334e-01 5.72115e-04 4.43087e-04 9.03678e-04 1.37603e-06 2.07138e-06 -6.03589e-07 7.48441e-07 3.62435e-07 6.70227e-06 1.31375e-09 2.61528e-09 -1.99021e-09 1.95778e-09 -1.28220e-09 1.09714e-09 5.69825e-10 -1.11868e-09 1.61639e-09 1.59188e-08
# precision: tgt 2.00e-03 max 4.91e-03 (245.7%) avg 1.87e-04 (9.4%)
1.97847e+00 -4.81344e-04 -3.74470e-04 2.12537e-04 -9.72614e-07 -2.29129e-06 2.26400e-06 -6.60912e-07 2.36043e-06 -3.17380e-06 -7.23804e-10 -2.68335e-09 7.50909e-10 -2.41443e-09 3.03350e-09 3.68421e-09 -6.84548e-10 2.45264e-09 1.09463e-09 -9.54397e-09

#tofext2k_z8_q4
3 8 3 20
# precision: tgt 2.00e-03 max 2.82e-03 (141.1%) avg 2.37e-04 (11.8%)
1.30564e-01 -1.21267e-03 9.72604e-04 -1.20763e-03 2.33137e-06 -3.84576e-06 -1.10859e-06 1.25657e-06 1.74462e-06 -1.11194e-05 -1.19269e-09 3.71707e-09 2.61187e-09 -2.54459e-09 -3.13688e-09 -9.13402e-10 5.12152e-11 2.99372e-09 6.10771e-10 -3.03688e-08
# precision: tgt 2.00e-03 max 3.73e-03 (186.6%) avg 2.77e-04 (13.8%)
-2.25907e-01 1.97366e-03 -1.58012e-03 1.40065e-03 -4.57338e-06 7.39345e-06 -1.75278e-06 -3.03005e-06 2.68947e-06 5.49574e-06 3.14375e-09 -8.47876e-09 2.64614e-10 6.74443e-09 -3.99338e-09 2.10233e-10 -1.69929e-09 1.24688e-09 6.30242e-13 1.45873e-08
# precision: tgt 2.00e-03 max 4.04e-03 (201.9%) avg 1.48e-04 (7.4%)
1.89765e+00 6.39172e-04 -5.26486e-04 -1.23829e-03 -1.21674e-06 2.47999e-06 -2.87052e-07 -7.87487e-07 4.15787e-07 -1.10745e-05 8.83260e-10 -2.54739e-09 -1.32172e-09 2.18191e-09 7.92732e-10 -3.84849e-09 -6.21776e-10 1.70666e-10 1.58568e-09 -3.05442e-08

#tofext2k_z9_q1
3 9 0 20
# precision: tgt 2.00e-03 max 1.79e-03 (89.5%) avg 1.18e-04 (5.9%)
-5.19532e-02 2.76275e-04 3.31527e-04 -1.73969e-05 -4.93018e-07 -1.20235e-06 8.08386e-07 -6.67392e-07 2.94509e-07 7.14987e-08 3.18860e-10 9.87165e-10 -7.13249e-10 1.32980e-09 -5.92135e-10 -9.54920e-12 3.99170e-10 -6.15080e-10 1.31977e-11 3.12869e-10
# precision: tgt 2.00e-03 max 4.65e-03 (232.4%) avg 8.68e-05 (4.3%)
-2.65715e-02 2.73422e-04 1.36039e-04 1.11523e-04 -7.62681e-07 -9.24464e-07 -1.03286e-07 -3.11138e-07 3.17808e-07 6.17507e-08 6.17061e-10 1.40310e-09 -3.23550e-10 6.77226e-10 2.72125e-10 -1.54755e-10 3.03089e-10 -1.88911e-10 -8.96727e-11 -1.89519e-11
# precision: tgt 2.00e-03 max 5.54e-03 (276.8%) avg 1.54e-04 (7.7%)
2.15266e+00 -6.40658e-04 -6.09182e-04 -1.15679e-04 1.41428e-06 2.52728e-06 4.76127e-07 1.37648e-06 2.43310e-07 -9.66094e-07 -6.32592e-10 -2.48828e-09 -1.23506e-10 -2.33537e-09 -2.86324e-10 2.22150e-09 -6.42167e-10 -7.25771e-11 7.73583e-10 -1.42596e-10

#tofext2k_z9_q2
3 9 1 20
# precision: tgt 2.00e-03 max 1.65e-03 (82.7%) avg 4.26e-05 (2.1%)
-2.48777e-02 -1.63106e-04 1.02293e-04 2.25400e-05 -3.44086e-07 5.40681e-07 7.89046e-07 -1.36165e-07 -3.11550e-07 3.47631e-08 -2.01643e-10 7.00532e-10 7.25073e-10 -3.35105e-10 -5.55970e-10 4.43942e-11 7.19887e-11 6.10634e-10 -3.54249e-11 7.34548e-11
# precision: tgt 2.00e-03 max 4.75e-03 (237.4%) avg 6.62e-05 (3.3%)
-4.85547e-02 -3.04035e-04 2.60952e-04 6.56963e-05 -6.00889e-07 1.13086e-06 3.45837e-08 -5.11925e-07 4.43255e-07 -1.27998e-08 -3.40337e-10 1.24357e-09 -3.15205e-10 -1.00274e-09 9.58317e-12 2.61620e-11 3.69227e-10 -2.49295e-10 -1.28969e-11 -9.77120e-11
# precision: tgt 2.00e-03 max 5.35e-03 (267.5%) avg 1.31e-04 (6.5%)
2.12912e+00 5.37001e-04 -5.04035e-04 -3.06997e-04 1.37688e-06 -2.26519e-06 -1.22620e-06 1.24493e-06 9.94972e-07 -7.89317e-07 7.63576e-10 -2.45180e-09 -8.95551e-10 2.22367e-09 1.90386e-09 -2.02028e-09 -6.01017e-10 -6.99301e-10 6.98619e-10 3.16420e-10

#tofext2k_z9_q3
3 9 2 20
# precision: tgt 2.00e-03 max 1.89e-03 (94.3%) avg 8.53e-05 (4.3%)
1.63225e-02 1.99539e-04 1.27634e-04 -1.09401e-04 6.44499e-07 7.26414e-07 2.45269e-07 2.56213e-07 -1.65719e-07 -2.47602e-08 6.49669e-10 1.01307e-09 1.38924e-10 6.56025e-10 -3.87444e-10 6.84472e-11 1.39838e-10 1.82869e-10 7.43593e-11 -2.60216e-10
# precision: tgt 2.00e-03 max 2.91e-03 (145.5%) avg 1.13e-04 (5.6%)
9.48414e-02 7.59136e-04 5.66988e-04 -3.27649e-05 1.94202e-06 2.66684e-06 3.66416e-08 1.14864e-06 5.29687e-07 -8.17327e-08 1.60323e-09 3.17826e-09 3.35719e-10 2.44970e-09 1.58545e-10 -5.48270e-11 7.66513e-10 4.18089e-10 -2.23912e-11 -2.61780e-10
# precision: tgt 2.00e-03 max 5.34e-03 (267.0%) avg 7.56e-05 (3.8%)
1.98482e+00 -3.36705e-04 -2.85833e-04 -3.70799e-04 -3.32731e-07 -1.07423e-06 -1.46479e-06 -2.37681e-07 -1.21842e-06 -7.71431e-07 -3.00793e-10 -9.48152e-10 -1.11358e-09 -8.22702e-10 -2.41432e-09 -2.00380e-09 -2.54288e-10 -8.63423e-10 -6.17922e-10 3.39007e-10

#tofext2k_z9_q4
3 9 3 20
# precision: tgt 2.00e-03 max 2.62e-03 (131.2%) avg 1.78e-04 (8.9%)
1.11552e-01 -6.90706e-04 4.14557e-04 1.97423e-04 1.32760e-06 -2.00192e-06 -1.25508e-07 2.17189e-07 5.57730e-07 -9.29550e-08 -7.51839e-10 2.28037e-09 2.36501e-10 -1.03848e-09 -1.15882e-09 2.34244e-11 -2.82486e-10 1.16168e-10 -1.38655e-11 -3.58227e-10
# precision: tgt 2.00e-03 max 3.73e-03 (186.7%) avg 2.85e-04 (14.3%)
-3.57562e-01 2.23391e-03 -1.81410e-03 2.41780e-05 -4.54592e-06 7.81330e-06 -2.93493e-07 -2.79567e-06 7.24998e-07 -2.70373e-08 2.99641e-09 -8.39128e-09 6.18006e-10 6.32444e-09 -5.74484e-10 7.15354e-11 -1.24144e-09 6.09953e-10 -1.23354e-10 9.49114e-11
# precision: tgt 2.00e-03 max 4.97e-03 (248.4%) avg 7.40e-05 (3.7%)
2.01085e+00 2.43357e-04 -1.74226e-04 -1.59202e-04 -3.65788e-07 8.45114e-07 6.57639e-07 -1.12698e-07 -4.45747e-07 -8.92880e-07 5.04741e-10 -1.02661e-09 -3.09209e-10 7.23670e-10 6.85467e-10 2.16984e-09 -2.35194e-10 -2.43668e-10 -8.22287e-10 1.81616e-10

#tpc2k_z0_q1
1 0 0 20
# precision: tgt 2.00e-03 max 5.67e-02 (2835.0%) avg 6.13e-03 (306.7%)
2.20481e+00 5.13926e-02 5.44615e-02 3.43455e-02 -1.41659e-04 -1.19165e-04 1.25401e-04 -6.68936e-05 1.69956e-04 1.01714e-04 1.86529e-08 -2.60916e-08 -2.92355e-07 1.24319e-08 -2.51614e-07 3.65613e-08 -2.24638e-08 -1.50773e-07 1.19192e-07 8.39092e-08
# precision: tgt 2.00e-03 max 9.47e-02 (4736.1%) avg 9.30e-03 (465.1%)
-2.03880e+00 5.30620e-02 6.14760e-02 1.17005e-02 -6.08374e-05 -1.32011e-04 1.64337e-04 -1.87544e-04 1.40965e-04 5.92621e-05 -1.22045e-08 1.36345e-08 -1.30406e-07 -4.58200e-08 -2.87795e-07 1.14167e-07 4.55092e-08 -3.69913e-07 2.77253e-08 5.54095e-08
# precision: tgt 2.00e-03 max 1.59e-01 (7965.8%) avg 1.36e-02 (679.1%)
-3.55680e+01 7.63069e-02 8.72268e-02 -1.90530e-01 5.29405e-05 1.67538e-04 3.70161e-04 3.54720e-05 4.04643e-04 -2.99034e-04 -1.11120e-07 -1.57831e-07 -1.52130e-10 -1.83911e-07 2.07842e-07 4.10405e-07 -1.43820e-07 -6.50032e-08 4.28744e-07 -1.36987e-07

#tpc2k_z0_q2
1 0 1 20
# precision: tgt 2.00e-03 max 8.92e-02 (4458.9%) avg 1.08e-02 (539.0%)
-2.31628e+00 6.94975e-02 -7.06070e-02 -4.30109e-02 2.21441e-04 -1.75900e-04 1.45734e-04 7.51790e-05 -2.18770e-04 -1.28128e-04 4.26951e-08 6.27947e-08 4.47253e-07 -8.19712e-10 -3.93755e-07 -1.01581e-09 2.45382e-08 1.72180e-07 -1.47510e-07 -1.01844e-07
# precision: tgt 2.00e-03 max 8.40e-02 (4202.0%) avg 9.59e-03 (479.4%)
5.13990e-01 -7.11299e-02 8.22095e-02 3.44675e-02 -8.76294e-05 1.50769e-04 -2.20567e-04 -2.12981e-04 2.08138e-04 1.17362e-04 3.04984e-08 -3.00517e-09 -2.03288e-07 6.11186e-08 3.40575e-07 -1.48051e-07 2.42174e-08 -4.41878e-07 7.25949e-08 1.00286e-07
# precision: tgt 2.00e-03 max 1.66e-01 (8289.9%) avg 1.63e-02 (815.8%)
-4.30588e+01 -1.10148e-01 1.02701e-01 -2.23781e-01 5.16521e-05 -2.28991e-04 -5.19860e-04 8.17703e-05 5.04198e-04 -3.35593e-04 1.76936e-07 -2.39772e-07 -7.06801e-08 2.06661e-07 -2.85760e-07 -5.55711e-07 -1.66532e-07 7.78853e-09 5.59616e-07 -1.37935e-07

#tpc2k_z0_q3
1 0 2 20
# precision: tgt 2.00e-03 max 8.62e-02 (4308.5%) avg 1.01e-02 (505.2%)
-6.28058e+00 5.27108e-02 5.70632e-02 -6.00548e-02 2.00651e-04 1.32394e-04 9.65714e-05 5.72658e-05 1.80837e-04 -1.52206e-04 4.10904e-08 -7.86635e-08 4.10384e-07 -1.54744e-08 3.19850e-07 -3.48985e-08 -2.42548e-08 1.39496e-07 1.23478e-07 -1.13145e-07
# precision: tgt 2.00e-03 max 7.14e-02 (3569.4%) avg 8.16e-03 (407.9%)
-4.52016e+00 5.64116e-02 5.25921e-02 -4.91476e-02 6.77642e-05 1.14781e-04 1.77870e-04 1.67623e-04 1.15869e-04 -1.32046e-04 -3.31444e-08 -1.54203e-08 1.67713e-07 -6.09427e-08 2.74483e-07 1.19666e-07 1.31158e-08 3.58736e-07 3.97952e-09 -1.02614e-07
# precision: tgt 2.00e-03 max 1.49e-01 (7461.7%) avg 1.55e-02 (774.3%)
-1.81885e+01 -8.40098e-02 -6.50823e-02 -9.21211e-02 5.28539e-05 2.34281e-04 -4.20088e-04 8.75483e-05 -3.60831e-04 -1.04978e-04 1.73200e-07 2.20511e-07 -6.35684e-08 1.90224e-07 3.08213e-07 -4.62273e-07 1.50060e-07 3.01946e-08 -4.25361e-07 -4.24992e-09

#tpc2k_z0_q4
1 0 3 20
# precision: tgt 2.00e-03 max 4.89e-02 (2446.7%) avg 5.37e-03 (268.5%)
3.01560e+00 3.34190e-02 -3.79144e-02 3.27920e-02 -1.19968e-04 7.41969e-05 7.20150e-05 -4.87985e-05 -1.20785e-04 8.92943e-05 1.86587e-08 3.50553e-08 -2.51223e-07 3.73520e-09 1.69255e-07 5.21658e-11 2.12956e-08 -1.16033e-07 -8.55264e-08 7.15087e-08
# precision: tgt 2.00e-03 max 6.03e-02 (3017.1%) avg 7.27e-03 (363.5%)
-1.11066e+00 -3.60165e-02 3.32741e-02 -2.13973e-02 3.91175e-05 -9.69052e-05 -1.13138e-04 1.40377e-04 5.47814e-05 -6.43464e-05 1.35070e-08 4.70596e-09 8.95880e-08 4.16863e-08 -2.20344e-07 -7.86306e-08 3.57970e-08 2.81430e-07 -3.36809e-08 -5.17020e-08
# precision: tgt 2.00e-03 max 1.12e-01 (5618.5%) avg 1.17e-02 (587.3%)
-9.72536e+00 5.36245e-02 -5.08098e-02 -5.18992e-02 4.74302e-05 -1.60476e-04 2.78742e-04 3.56619e-05 -2.61176e-04 -5.32951e-05 -1.01807e-07 1.26017e-07 -1.76527e-10 -1.57888e-07 -2.15212e-07 3.22158e-07 1.22391e-07 -4.81882e-08 -2.91634e-07 7.11696e-09

#tpc2k_z1_q1
1 1 0 20
# precision: tgt 2.00e-03 max 2.03e-02 (1016.1%) avg 1.82e-03 (91.2%)
-3.20207e-01 1.67502e-02 1.52900e-02 4.90605e-03 -4.06694e-05 -1.97466e-05 5.43578e-05 -1.10314e-05 6.14396e-05 2.54615e-05 -3.00649e-09 -2.70045e-08 -1.07281e-07 -1.37674e-09 -6.11226e-08 2.85078e-08 -1.14901e-08 -3.52783e-08 5.78955e-08 2.85546e-08
# precision: tgt 2.00e-03 max 2.46e-02 (1231.1%) avg 2.57e-03 (128.4%)
-3.56528e-01 1.44853e-02 1.82847e-02 5.00047e-03 -9.30625e-06 -2.48979e-05 5.76242e-05 -4.89104e-05 5.47830e-05 2.52303e-05 -8.71252e-09 -1.31100e-09 -2.90050e-08 -3.19819e-08 -7.53122e-08 5.36746e-08 2.25018e-09 -1.22542e-07 2.19240e-08 2.71710e-08
# precision: tgt 2.00e-03 max 4.17e-02 (2087.1%) avg 3.77e-03 (188.6%)
-4.76880e+00 1.08192e-02 1.39767e-02 -3.97548e-02 3.12270e-05 6.93874e-05 8.34779e-05 2.52807e-05 9.30734e-05 -6.91453e-05 -3.83667e-08 -3.71661e-08 3.22070e-08 -4.38210e-08 1.26457e-07 1.25850e-07 -4.65677e-08 1.08835e-08 1.29591e-07 -3.05090e-08

#tpc2k_z1_q2
1 1 1 20
# precision: tgt 2.00e-03 max 2.68e-02 (1340.0%) avg 3.08e-03 (153.8%)
-4.61456e-01 2.01133e-02 -1.87647e-02 -1.20614e-02 6.20274e-05 -3.86472e-05 5.14808e-05 1.31336e-05 -7.11355e-05 -4.25433e-05 6.18691e-09 3.45662e-08 1.50819e-07 -2.34150e-09 -1.09326e-07 4.45282e-09 1.11450e-08 4.01945e-08 -6.12415e-08 -3.95274e-08
# precision: tgt 2.00e-03 max 2.52e-02 (1261.1%) avg 2.73e-03 (136.7%)
-2.97744e-02 -1.92123e-02 2.29155e-02 9.15620e-03 -1.85598e-05 3.05339e-05 -7.22821e-05 -5.79517e-05 6.92145e-05 3.78564e-05 1.30797e-08 -3.17594e-09 -5.43069e-08 3.35588e-08 8.99660e-08 -6.13348e-08 -2.49092e-09 -1.47537e-07 2.95607e-08 3.81238e-08
# precision: tgt 2.00e-03 max 5.24e-02 (2622.4%) avg 4.74e-03 (237.0%)
-6.24730e+00 -1.95593e-02 1.70919e-02 -4.68711e-02 2.38561e-05 -8.33789e-05 -1.22250e-04 3.63196e-05 1.17964e-04 -7.66390e-05 5.61456e-08 -6.05833e-08 -4.83607e-09 4.97356e-08 -1.43106e-07 -1.62597e-07 -5.27306e-08 2.93119e-08 1.67202e-07 -2.86267e-08

#tpc2k_z1_q3
1 1 2 20
# precision: tgt 2.00e-03 max 2.60e-02 (1301.3%) avg 3.02e-03 (151.1%)
-2.93767e+00 1.81204e-02 1.68103e-02 -2.68438e-02 6.19945e-05 3.34859e-05 4.34804e-05 1.30794e-05 6.33196e-05 -7.18851e-05 7.66154e-09 -3.27203e-08 1.49293e-07 -2.52956e-10 9.59518e-08 -3.07847e-09 -8.97002e-09 3.81149e-08 5.40406e-08 -5.89442e-08
# precision: tgt 2.00e-03 max 2.14e-02 (1072.0%) avg 2.35e-03 (117.6%)
-3.97119e-01 1.77563e-02 1.70819e-02 -1.07113e-02 1.55413e-05 2.82144e-05 6.74065e-05 5.19106e-05 4.61317e-05 -3.88823e-05 -1.19917e-08 -8.23173e-10 4.63599e-08 -2.83486e-08 8.18111e-08 5.80749e-08 5.07263e-10 1.31287e-07 7.64526e-09 -3.73878e-08
# precision: tgt 2.00e-03 max 4.61e-02 (2305.0%) avg 4.43e-03 (221.7%)
-4.83970e+00 -2.09456e-02 -1.66936e-02 -3.73672e-02 1.92939e-05 7.35151e-05 -1.24336e-04 2.61928e-05 -1.09962e-04 -5.61254e-05 5.50500e-08 5.34351e-08 -1.31162e-08 4.54240e-08 1.25779e-07 -1.61290e-07 4.70624e-08 1.07658e-08 -1.52453e-07 -1.43836e-08

#tpc2k_z1_q4
1 1 3 20
# precision: tgt 2.00e-03 max 2.05e-02 (1025.0%) avg 1.80e-03 (90.2%)
1.98699e+00 1.37987e-02 -1.25717e-02 1.82822e-02 -3.99901e-05 1.51750e-05 4.26174e-05 -1.08283e-05 -5.04231e-05 5.11854e-05 -1.03394e-09 2.40449e-08 -1.03888e-07 1.40439e-09 4.82369e-08 1.75251e-08 9.33130e-09 -3.29091e-08 -4.73482e-08 4.50281e-08
# precision: tgt 2.00e-03 max 1.91e-02 (955.7%) avg 2.15e-03 (107.4%)
-8.45670e-01 -1.28567e-02 1.14105e-02 -1.08884e-02 6.71092e-06 -2.35235e-05 -5.15740e-05 4.33386e-05 2.70243e-05 -3.41413e-05 7.46786e-09 1.77800e-09 2.17015e-08 2.56693e-08 -6.84760e-08 -4.87832e-08 5.21970e-09 1.07005e-07 -5.05085e-09 -3.10899e-08
# precision: tgt 2.00e-03 max 3.50e-02 (1751.9%) avg 3.36e-03 (168.0%)
-4.48534e+00 1.26424e-02 -1.33407e-02 -3.74755e-02 2.50899e-05 -5.86353e-05 8.65776e-05 1.49614e-05 -8.38755e-05 -6.41941e-05 -3.72521e-08 2.94864e-08 2.06888e-08 -3.98832e-08 -1.07067e-07 1.24759e-07 4.06095e-08 -7.79490e-09 -1.13436e-07 -2.74952e-08

#tpc2k_z10_q1
1 10 0 20
# precision: tgt 2.00e-03 max 2.74e-04 (13.7%) avg 3.67e-05 (1.8%)
-1.98529e-04 -3.63832e-06 2.31297e-06 -1.64567e-05 4.77049e-08 2.84697e-08 6.06059e-07 -1.81363e-08 4.71720e-08 -1.27793e-09 -1.58844e-10 -1.19210e-10 -1.89898e-10 -8.54710e-11 -2.96868e-10 7.76296e-11 3.84340e-11 -6.22479e-11 6.01461e-11 6.00227e-11
# precision: tgt 2.00e-03 max 3.47e-04 (17.4%) avg 4.95e-05 (2.5%)
-1.09329e-03 1.08131e-05 1.11400e-05 6.94991e-06 -3.49881e-08 -1.42607e-07 4.66389e-09 -1.12356e-07 5.60490e-07 -4.78262e-08 5.39628e-11 2.48317e-10 2.47324e-11 3.31554e-10 1.77725e-11 2.12622e-10 2.39271e-10 -1.15080e-10 4.91085e-11 -6.07291e-11
# precision: tgt 2.00e-03 max 9.01e-04 (45.0%) avg 9.30e-05 (4.7%)
2.04547e+00 -3.32359e-05 -1.05331e-05 4.90834e-06 4.85671e-07 1.96003e-07 1.33526e-08 4.62932e-07 -3.21644e-08 -6.06602e-07 -5.58451e-10 -6.15242e-10 3.88361e-11 -4.73194e-10 1.93627e-10 2.31601e-10 -5.08999e-10 1.24054e-10 4.15225e-10 -1.35281e-12

#tpc2k_z10_q2
1 10 1 20
# precision: tgt 2.00e-03 max 4.36e-04 (21.8%) avg 5.53e-05 (2.8%)
1.14059e-04 -1.46410e-06 1.94239e-06 -1.27657e-05 -3.65062e-08 3.02207e-08 4.41578e-07 -5.03815e-08 4.01987e-08 1.06663e-07 -2.41326e-11 1.46788e-10 -8.75123e-11 -7.27311e-11 1.33965e-10 2.91079e-10 1.61008e-10 -5.09730e-11 -1.75464e-10 2.10800e-10
# precision: tgt 2.00e-03 max 3.54e-04 (17.7%) avg 4.56e-05 (2.3%)
-8.87170e-04 -5.27362e-06 -7.18632e-07 1.60547e-05 -1.99548e-08 3.47885e-08 4.60795e-08 -2.87741e-09 4.79241e-07 -2.69474e-08 -2.24038e-11 7.68997e-11 1.54411e-10 -9.56928e-11 -8.89131e-11 -3.18355e-10 -3.44829e-11 1.04505e-10 1.11129e-10 6.42157e-11
# precision: tgt 2.00e-03 max 7.24e-04 (36.2%) avg 6.37e-05 (3.2%)
2.04624e+00 1.80016e-05 -2.57658e-05 6.39183e-06 4.37107e-07 -3.14118e-07 1.23755e-07 5.51128e-07 -4.94302e-08 -5.95912e-07 4.15680e-10 -7.23211e-10 3.08142e-10 9.82566e-10 -2.77170e-10 -4.68446e-10 -6.69806e-10 1.70648e-10 3.00088e-10 -1.85472e-10

#tpc2k_z10_q3
1 10 2 20
# precision: tgt 2.00e-03 max 4.01e-04 (20.1%) avg 6.36e-05 (3.2%)
1.48386e-04 -2.81159e-06 1.22460e-06 -8.75179e-06 -7.24130e-08 -1.16396e-08 5.18171e-07 -4.34981e-08 -2.40859e-08 7.45241e-08 -1.59377e-10 -1.41110e-10 1.42917e-10 -6.72605e-11 -1.59397e-10 4.72260e-10 -1.13118e-10 1.46070e-11 1.24125e-10 -3.23204e-10
# precision: tgt 2.00e-03 max 6.00e-04 (30.0%) avg 5.07e-05 (2.5%)
-1.44522e-04 1.51686e-06 -1.37444e-06 1.04281e-05 -9.13128e-09 -3.20769e-08 -6.86557e-09 4.63898e-08 5.17654e-07 4.85431e-08 -5.08151e-11 1.48071e-11 -4.52884e-11 -1.92617e-11 -7.39607e-11 2.57252e-10 1.51766e-10 1.72190e-10 1.79397e-10 1.03826e-10
# precision: tgt 2.00e-03 max 6.56e-04 (32.8%) avg 8.50e-05 (4.2%)
2.04541e+00 1.05739e-05 2.64577e-05 4.18299e-06 4.60509e-07 1.45057e-07 9.46575e-08 3.94811e-07 3.63047e-08 -6.33187e-07 5.90627e-10 5.00139e-10 2.81724e-10 3.80453e-10 1.31041e-10 -8.08742e-10 3.60469e-10 2.53944e-10 -6.06726e-10 -1.63322e-10

#tpc2k_z10_q4
1 10 3 20
# precision: tgt 2.00e-03 max 6.76e-04 (33.8%) avg 6.20e-05 (3.1%)
5.50976e-04 -1.49197e-05 1.27635e-05 -1.07949e-05 8.83973e-08 -1.36355e-07 5.52236e-07 3.22668e-08 -3.34953e-08 4.13579e-08 -1.80933e-10 3.86941e-10 -1.07574e-10 -3.79485e-10 1.60383e-10 -1.06404e-10 1.19570e-11 2.23331e-12 -1.75030e-10 2.97054e-10
# precision: tgt 2.00e-03 max 6.43e-04 (32.1%) avg 7.26e-05 (3.6%)
2.31053e-04 -1.48249e-05 3.00191e-06 1.18571e-05 1.36424e-07 -1.18667e-07 -9.32485e-10 6.04886e-08 5.03755e-07 5.64120e-08 -3.27013e-10 2.68001e-10 -3.84544e-12 -1.78537e-10 -2.09114e-11 -1.51944e-10 1.52469e-10 7.97779e-11 8.57223e-11 4.55744e-11
# precision: tgt 2.00e-03 max 6.93e-04 (34.6%) avg 1.08e-04 (5.4%)
2.04598e+00 -3.44575e-05 3.62911e-05 1.14882e-05 4.38742e-07 -2.30234e-07 -3.75052e-08 4.46477e-07 9.68732e-08 -5.96688e-07 -3.85634e-10 5.15524e-10 1.07132e-10 -6.25156e-10 -4.13098e-10 2.61104e-10 4.53437e-10 3.32572e-10 -5.80356e-10 2.16670e-10

#tpc2k_z11_q1
1 11 0 20
# precision: tgt 2.00e-03 max 3.49e-04 (17.5%) avg 3.57e-05 (1.8%)
1.54594e-04 -7.93962e-06 -4.94106e-06 -1.02782e-05 6.45309e-08 6.32151e-08 5.53865e-07 1.25033e-08 7.76265e-08 2.06698e-08 -2.00878e-10 -1.03167e-10 -8.09429e-11 -1.84509e-10 -2.43860e-10 -1.86796e-10 2.76649e-12 -2.06634e-10 -1.46041e-10 2.00081e-10
# precision: tgt 2.00e-03 max 4.80e-04 (24.0%) avg 5.24e-05 (2.6%)
-7.65867e-04 1.21638e-05 5.31542e-06 9.35877e-07 -6.66916e-08 -1.23623e-07 4.51656e-08 -8.31238e-08 6.86771e-07 -4.83524e-09 1.29338e-10 2.36609e-10 -1.76897e-11 3.14232e-10 -3.77747e-10 -1.29733e-10 2.07120e-10 -5.70291e-10 -1.17702e-10 2.80481e-10
# precision: tgt 2.00e-03 max 6.33e-04 (31.7%) avg 1.03e-04 (5.2%)
2.04585e+00 -3.81259e-05 -1.25210e-05 -2.45346e-06 5.26361e-07 2.03509e-07 1.07570e-07 4.55306e-07 6.73829e-08 -5.56905e-07 -6.43772e-10 -6.67565e-10 -1.59213e-10 -4.44413e-10 -4.08042e-10 3.15470e-10 -4.84063e-10 -1.58374e-10 2.54403e-10 -1.78061e-11

#tpc2k_z11_q2
1 11 1 20
# precision: tgt 2.00e-03 max 3.56e-04 (17.8%) avg 5.94e-05 (3.0%)
-1.56866e-03 -1.83610e-05 2.39782e-05 -2.31902e-06 -9.10376e-08 1.59807e-07 6.30307e-07 -1.37088e-07 -4.12490e-08 -8.22302e-09 -9.21086e-11 3.28319e-10 6.08739e-10 -3.48134e-10 -2.91384e-10 6.04353e-11 2.38914e-10 1.79894e-10 6.57831e-11 1.88678e-11
# precision: tgt 2.00e-03 max 5.69e-04 (28.5%) avg 5.25e-05 (2.6%)
-3.14161e-04 -2.18139e-06 2.64679e-06 3.16951e-06 -2.87922e-08 5.72010e-08 -5.92118e-08 -9.23551e-08 6.72902e-07 -3.88532e-10 -5.68594e-11 2.79629e-10 -2.25307e-10 -2.45751e-10 5.26030e-10 -7.76332e-11 2.46039e-10 -5.28333e-10 3.73438e-11 -1.16797e-10
# precision: tgt 2.00e-03 max 5.26e-04 (26.3%) avg 8.41e-05 (4.2%)
2.04563e+00 5.62981e-06 -1.78749e-05 6.70628e-07 3.60135e-07 -2.18108e-07 -2.04958e-08 5.17843e-07 5.26754e-08 -5.58461e-07 2.26825e-10 -6.76758e-10 -1.69655e-10 6.67558e-10 2.69818e-10 -4.61418e-10 -6.30499e-10 -1.55608e-10 3.25006e-10 -2.63600e-10

#tpc2k_z11_q3
1 11 2 20
# precision: tgt 2.00e-03 max 4.98e-04 (24.9%) avg 5.76e-05 (2.9%)
-6.53118e-04 -4.40380e-06 -9.67251e-06 3.84917e-06 -2.60812e-08 -4.85366e-08 6.92467e-07 -1.03276e-07 6.78170e-08 -1.11249e-08 -1.43275e-12 -6.19969e-11 7.44678e-10 -1.97747e-10 4.31526e-10 -9.46255e-11 -2.25102e-10 1.80413e-10 -5.70695e-11 -1.67519e-10
# precision: tgt 2.00e-03 max 4.77e-04 (23.9%) avg 4.88e-05 (2.4%)
4.23710e-04 1.15874e-05 9.47594e-06 1.57428e-05 5.26239e-08 1.02540e-07 9.09987e-08 8.51923e-08 5.96314e-07 -2.70063e-08 9.50068e-11 2.32944e-10 3.60250e-10 4.04584e-10 3.52656e-10 3.31202e-11 1.38367e-10 4.35015e-10 -8.31756e-11 1.46141e-10
# precision: tgt 2.00e-03 max 7.10e-04 (35.5%) avg 8.36e-05 (4.2%)
2.04518e+00 9.80460e-06 2.23111e-05 2.27617e-06 4.65778e-07 1.33037e-07 -1.78396e-08 3.72429e-07 -4.17621e-08 -5.92859e-07 6.18719e-10 4.45454e-10 -1.86202e-10 3.81483e-10 -2.60916e-10 -5.93564e-10 3.23205e-10 -1.42047e-10 -6.66110e-10 -1.38576e-10

#tpc2k_z11_q4
1 11 3 20
# precision: tgt 2.00e-03 max 3.51e-04 (17.5%) avg 5.53e-05 (2.8%)
-6.05580e-05 -3.64673e-06 -2.43467e-06 -7.84759e-06 2.55931e-08 1.45819e-08 5.06420e-07 -6.94426e-08 -1.34610e-08 5.20141e-08 -9.49488e-11 -3.34299e-11 6.75476e-11 2.31872e-11 1.59320e-11 -1.79421e-10 -1.78053e-10 2.56652e-11 1.97576e-10 -1.32210e-10
# precision: tgt 2.00e-03 max 6.98e-04 (34.9%) avg 7.64e-05 (3.8%)
1.04262e-03 -2.50658e-05 1.57603e-05 6.15365e-06 1.73300e-07 -2.48429e-07 3.28022e-08 1.04847e-07 4.49240e-07 -5.84435e-08 -3.85345e-10 4.65944e-10 -2.52367e-11 -5.66450e-10 2.99413e-10 1.21930e-10 1.54047e-10 -6.72179e-11 -2.80837e-10 1.02770e-10
# precision: tgt 2.00e-03 max 9.72e-04 (48.6%) avg 9.57e-05 (4.8%)
2.04596e+00 -3.07168e-05 3.74693e-05 -4.01186e-06 4.21091e-07 -2.29082e-07 1.14137e-07 4.64525e-07 -8.71795e-08 -5.38217e-07 -3.31551e-10 6.11531e-10 -1.63404e-10 -6.08841e-10 4.38166e-10 2.61102e-10 4.97832e-10 -2.37298e-10 -5.15801e-10 -2.55123e-10

#tpc2k_z12_q1
1 12 0 20
# precision: tgt 2.00e-03 max 3.83e-04 (19.1%) avg 3.55e-05 (1.8%)
2.48868e-04 -8.68321e-06 -7.49150e-06 -9.14438e-06 4.88452e-08 7.63757e-08 6.02626e-07 2.88028e-08 8.01803e-08 -3.07964e-08 -1.22156e-10 -9.32324e-11 -3.29676e-10 -2.32799e-10 -3.16682e-10 -2.67589e-13 -3.53058e-11 -1.63606e-10 -1.83805e-10 3.21149e-10
# precision: tgt 2.00e-03 max 2.64e-04 (13.2%) avg 4.70e-05 (2.4%)
-4.61095e-04 7.88776e-06 -1.47090e-07 -1.14676e-06 -4.52292e-08 -1.03251e-07 7.70738e-08 -3.23376e-08 6.70774e-07 1.75790e-08 1.02750e-10 1.75240e-10 -1.29411e-10 2.76770e-10 -3.61735e-10 -1.78746e-10 7.48941e-11 -5.73810e-10 4.12017e-11 5.57248e-11
# precision: tgt 2.00e-03 max 5.15e-04 (25.8%) avg 8.86e-05 (4.4%)
2.04602e+00 -4.33100e-05 -1.64077e-05 3.38681e-06 5.73886e-07 2.65431e-07 1.37855e-08 4.89020e-07 -3.43915e-08 -4.99771e-07 -7.71155e-10 -8.17575e-10 1.09909e-10 -6.24567e-10 -1.76814e-10 2.90791e-10 -5.63022e-10 9.90678e-11 3.73891e-10 -3.21460e-10

#tpc2k_z12_q2
1 12 1 20
# precision: tgt 2.00e-03 max 3.33e-04 (16.6%) avg 5.44e-05 (2.7%)
-1.37399e-03 -1.56434e-05 2.04862e-05 -2.21242e-06 -8.26695e-08 1.24478e-07 6.45562e-07 -1.11385e-07 -5.97992e-08 2.31179e-08 -1.02692e-10 1.87536e-10 6.54250e-10 -3.17444e-10 -3.46341e-10 7.95514e-11 1.69002e-10 2.27153e-10 4.54629e-11 -1.50784e-10
# precision: tgt 2.00e-03 max 3.35e-04 (16.7%) avg 3.61e-05 (1.8%)
-1.58239e-05 1.30417e-06 -3.73569e-06 2.79783e-06 -2.58838e-08 2.63846e-08 -9.69183e-08 -4.11247e-08 6.80283e-07 -3.54126e-08 -9.72824e-11 1.52333e-10 -3.15024e-10 -2.43615e-10 5.67508e-10 3.67555e-11 1.08876e-10 -5.75075e-10 1.02826e-10 1.91336e-10
# precision: tgt 2.00e-03 max 5.19e-04 (26.0%) avg 8.02e-05 (4.0%)
2.04555e+00 6.21798e-06 -1.98525e-05 9.85804e-06 3.77997e-07 -2.55242e-07 9.45045e-08 5.41052e-07 -3.47274e-08 -5.71083e-07 3.02943e-10 -7.66821e-10 2.12978e-10 7.83954e-10 8.60008e-11 -5.24691e-10 -7.01488e-10 1.19530e-10 3.74335e-10 -9.99869e-11

#tpc2k_z12_q3
1 12 2 20
# precision: tgt 2.00e-03 max 5.42e-04 (27.1%) avg 8.04e-05 (4.0%)
-1.08267e-03 -1.31611e-05 -1.57672e-05 3.23765e-06 -8.53333e-08 -1.04312e-07 6.92129e-07 -1.30777e-07 8.01078e-08 3.15274e-09 -1.32419e-10 -1.73236e-10 7.66317e-10 -3.25708e-10 4.99884e-10 3.74066e-11 -2.61565e-10 2.05680e-10 -7.55974e-11 -8.06658e-11
# precision: tgt 2.00e-03 max 2.96e-04 (14.8%) avg 3.99e-05 (2.0%)
4.33728e-04 1.44043e-05 9.36367e-06 1.59543e-05 8.26938e-08 9.85199e-08 8.77087e-08 9.86178e-08 6.24006e-07 1.45322e-09 1.64064e-10 2.56923e-10 2.96219e-10 3.74582e-10 3.66636e-10 -5.75495e-11 2.07901e-10 5.96125e-10 3.65438e-11 -1.27068e-10
# precision: tgt 2.00e-03 max 5.90e-04 (29.5%) avg 7.25e-05 (3.6%)
2.04537e+00 1.24784e-05 2.74047e-05 6.54598e-06 4.90230e-07 1.88832e-07 8.19477e-08 4.13818e-07 2.66490e-08 -5.47651e-07 7.04126e-10 5.80349e-10 2.26018e-10 5.38351e-10 -8.10698e-11 -4.41706e-10 4.33850e-10 1.26463e-10 -4.95308e-10 -1.13073e-10

#tpc2k_z12_q4
1 12 3 20
# precision: tgt 2.00e-03 max 3.23e-04 (16.1%) avg 5.32e-05 (2.7%)
3.34550e-04 -7.96759e-06 2.72458e-06 -1.37983e-05 3.56724e-08 -9.35365e-10 5.97858e-07 -4.69227e-08 -8.71261e-08 7.29072e-09 -7.67770e-11 -5.17981e-11 -2.92241e-10 5.14558e-12 3.17195e-10 3.10203e-11 -1.43653e-10 -1.44303e-10 2.08518e-10 1.59637e-10
# precision: tgt 2.00e-03 max 7.70e-04 (38.5%) avg 9.15e-05 (4.6%)
1.13507e-03 -2.99748e-05 1.72060e-05 1.13213e-05 2.11593e-07 -2.94409e-07 -1.40549e-08 1.24987e-07 5.55057e-07 -1.12156e-08 -4.66737e-10 5.98278e-10 4.66865e-11 -7.10636e-10 5.34122e-12 1.23342e-10 2.27727e-10 3.45403e-10 -5.47222e-11 -1.49007e-10
# precision: tgt 2.00e-03 max 7.06e-04 (35.3%) avg 7.87e-05 (3.9%)
2.04608e+00 -3.86332e-05 4.29246e-05 9.38607e-06 4.87483e-07 -3.04028e-07 1.94500e-08 5.06076e-07 9.46678e-09 -6.01549e-07 -4.96479e-10 8.04809e-10 8.47476e-11 -8.10295e-10 1.90030e-10 3.41523e-10 5.91870e-10 1.63507e-11 -5.59893e-10 1.05044e-10

#tpc2k_z13_q1
1 13 0 20
# precision: tgt 2.00e-03 max 4.46e-04 (22.3%) avg 4.86e-05 (2.4%)
6.79930e-04 -1.30776e-05 -5.74598e-06 -1.95613e-05 6.52430e-08 4.92444e-08 6.77904e-07 6.28276e-09 1.15523e-07 2.22245e-08 -1.04733e-10 3.71459e-11 -6.84361e-10 -1.67588e-10 -4.80567e-10 1.29849e-10 8.86857e-12 -1.62203e-10 -2.73263e-10 1.14563e-10
# precision: tgt 2.00e-03 max 2.84e-04 (14.2%) avg 4.61e-05 (2.3%)
-2.17983e-05 5.38031e-06 -2.37522e-06 -8.68297e-06 -4.21134e-08 -1.23494e-07 1.32843e-07 -5.34023e-09 6.84584e-07 3.85761e-08 1.19852e-10 1.94347e-10 -2.41759e-10 3.65720e-10 -4.07152e-10 -2.87644e-10 1.38505e-11 -7.14682e-10 1.66904e-10 4.89787e-11
# precision: tgt 2.00e-03 max 5.60e-04 (28.0%) avg 8.55e-05 (4.3%)
2.04388e+00 -3.07992e-05 -4.41154e-06 4.06381e-05 5.34034e-07 2.24484e-07 -1.01661e-07 4.49591e-07 -1.41934e-07 -7.38988e-07 -7.34832e-10 -7.17083e-10 2.79837e-10 -5.43765e-10 -1.59575e-10 6.32992e-10 -5.42140e-10 3.41300e-10 5.98356e-10 2.32223e-10

#tpc2k_z13_q2
1 13 1 20
# precision: tgt 2.00e-03 max 3.20e-04 (16.0%) avg 5.69e-05 (2.8%)
-9.47890e-04 -1.31344e-05 1.59923e-05 -6.81116e-06 -7.61777e-08 7.27730e-08 6.67624e-07 -7.27488e-08 -9.19232e-08 8.18196e-08 -1.04700e-10 5.70250e-13 7.67641e-10 -2.48491e-10 -3.99257e-10 1.33494e-10 7.46208e-11 2.43973e-10 1.51461e-10 -3.19614e-10
# precision: tgt 2.00e-03 max 3.04e-04 (15.2%) avg 3.77e-05 (1.9%)
2.08888e-04 3.48666e-06 -1.11337e-05 4.03919e-06 -4.06430e-08 4.59881e-09 -1.35535e-07 1.19933e-08 7.05063e-07 -6.85709e-08 -1.64636e-10 6.24989e-11 -3.15556e-10 -2.74950e-10 6.54498e-10 1.78357e-10 -1.99970e-11 -6.77169e-10 1.47442e-10 2.93085e-10
# precision: tgt 2.00e-03 max 5.58e-04 (27.9%) avg 7.87e-05 (3.9%)
2.04541e+00 8.12433e-06 -1.97979e-05 1.70163e-05 4.12844e-07 -3.08953e-07 1.77540e-07 5.54173e-07 -1.11704e-07 -5.80955e-07 4.26339e-10 -8.88844e-10 4.32379e-10 8.83493e-10 1.26603e-10 -7.09445e-10 -7.61553e-10 3.04365e-10 5.61241e-10 -1.58828e-10

#tpc2k_z13_q3
1 13 2 20
# precision: tgt 2.00e-03 max 6.49e-04 (32.4%) avg 1.08e-04 (5.4%)
-1.36653e-03 -1.62254e-05 -1.68720e-05 6.67714e-06 -1.11898e-07 -1.03056e-07 7.02167e-07 -1.21376e-07 1.19661e-07 6.46527e-09 -1.91834e-10 -1.50322e-10 8.41151e-10 -3.22968e-10 5.51883e-10 1.02564e-10 -2.36597e-10 2.09243e-10 -2.29326e-10 -1.60299e-10
# precision: tgt 2.00e-03 max 4.30e-04 (21.5%) avg 5.16e-05 (2.6%)
5.13787e-04 1.78145e-05 8.03507e-06 1.50689e-05 1.11694e-07 1.24088e-07 1.05189e-07 9.94797e-08 6.72091e-07 4.28239e-08 2.06708e-10 3.22193e-10 2.27641e-10 4.76378e-10 4.82143e-10 -1.59220e-10 2.52478e-10 8.46008e-10 1.53034e-10 -2.57767e-10
# precision: tgt 2.00e-03 max 5.56e-04 (27.8%) avg 6.71e-05 (3.4%)
2.04449e+00 1.25277e-05 2.70504e-05 2.96722e-05 5.13944e-07 2.41388e-07 1.77541e-07 4.31232e-07 1.13530e-07 -6.71847e-07 7.94451e-10 6.94449e-10 4.38778e-10 6.34616e-10 -1.35567e-10 -6.84862e-10 5.11248e-10 3.31256e-10 -6.96762e-10 9.34603e-11

#tpc2k_z13_q4
1 13 3 20
# precision: tgt 2.00e-03 max 4.97e-04 (24.8%) avg 6.20e-05 (3.1%)
1.21903e-03 -2.28785e-05 1.20517e-05 -1.92340e-05 9.78342e-08 -3.45754e-08 7.27505e-07 -2.09223e-08 -1.76815e-07 -3.48422e-08 -1.30223e-10 -8.76030e-11 -7.57649e-10 -4.67619e-11 6.23636e-10 8.47070e-11 -1.25910e-10 -2.88712e-10 3.26700e-10 3.08825e-10
# precision: tgt 2.00e-03 max 7.60e-04 (38.0%) avg 9.76e-05 (4.9%)
4.94158e-04 -2.54386e-05 6.93087e-06 1.64595e-05 2.17454e-07 -2.97876e-07 -1.11051e-07 9.40538e-08 6.86119e-07 4.55164e-08 -5.07170e-10 6.71240e-10 1.99815e-10 -8.31127e-10 -3.84046e-10 2.26507e-10 2.45104e-10 8.32434e-10 7.52677e-11 -3.26200e-10
# precision: tgt 2.00e-03 max 6.28e-04 (31.4%) avg 8.09e-05 (4.0%)
2.04516e+00 -3.19511e-05 3.49178e-05 2.08625e-05 4.84825e-07 -2.90925e-07 -8.33983e-08 4.90418e-07 1.15485e-07 -5.99111e-07 -5.40726e-10 7.79589e-10 2.40846e-10 -7.98339e-10 1.35924e-10 6.27763e-10 6.10457e-10 2.30555e-10 -7.95809e-10 -1.36475e-10

#tpc2k_z14_q1
1 14 0 20
# precision: tgt 2.00e-03 max 4.32e-04 (21.6%) avg 6.73e-05 (3.4%)
2.23284e-04 -1.55796e-05 6.16475e-06 -1.76815e-05 9.36068e-08 -7.41758e-08 7.59175e-07 -8.74117e-08 1.71855e-07 -3.65933e-08 -8.88843e-11 4.16135e-10 -1.16805e-09 9.08733e-11 -6.11737e-10 2.67217e-10 1.75026e-10 -1.11537e-10 -4.65055e-10 2.75401e-10
# precision: tgt 2.00e-03 max 4.52e-04 (22.6%) avg 5.64e-05 (2.8%)
-7.06167e-04 1.00518e-05 2.27699e-06 -1.85178e-06 -8.65460e-08 -2.40648e-07 2.07437e-07 -2.85834e-08 7.37551e-07 -5.04726e-08 2.15918e-10 3.62813e-10 -2.95506e-10 7.17659e-10 -4.06689e-10 -4.92551e-10 9.30053e-11 -9.83681e-10 1.97124e-10 3.03723e-10
# precision: tgt 2.00e-03 max 5.53e-04 (27.7%) avg 9.27e-05 (4.6%)
2.04308e+00 -1.99546e-05 2.18192e-06 4.33886e-05 5.10632e-07 2.60347e-07 -2.36362e-07 4.47580e-07 -2.51474e-07 -6.54184e-07 -7.11550e-10 -5.77784e-10 2.93366e-10 -4.34481e-10 -7.54474e-10 1.26791e-09 -5.84715e-10 3.87471e-10 1.13626e-09 -2.97405e-10

#tpc2k_z14_q2
1 14 1 20
# precision: tgt 2.00e-03 max 3.44e-04 (17.2%) avg 6.20e-05 (3.1%)
-3.12293e-04 -7.71135e-06 7.08780e-06 -8.36913e-06 -4.57651e-08 -4.54940e-08 7.17291e-07 7.25232e-09 -1.58780e-07 1.16032e-07 -1.92334e-11 -3.59948e-10 1.00521e-09 -7.79120e-11 -4.00388e-10 1.59937e-10 -7.25828e-11 1.80079e-10 4.19169e-10 -4.19284e-10
# precision: tgt 2.00e-03 max 4.17e-04 (20.8%) avg 5.29e-05 (2.6%)
4.07120e-05 6.87407e-08 -1.47257e-05 5.91050e-06 -1.00078e-07 5.99530e-08 -2.01267e-07 4.28233e-08 7.49975e-07 -1.06634e-07 -2.94878e-10 1.14187e-10 -2.64465e-10 -4.89140e-10 6.82625e-10 4.22847e-10 -6.53212e-11 -9.15906e-10 1.98696e-10 3.97425e-10
# precision: tgt 2.00e-03 max 6.13e-04 (30.7%) avg 8.29e-05 (4.1%)
2.04582e+00 1.53262e-05 -2.34445e-05 1.79984e-05 4.81250e-07 -4.13278e-07 2.46734e-07 5.84014e-07 -1.75294e-07 -5.58432e-07 5.64633e-10 -9.35071e-10 3.39545e-10 9.20234e-10 6.93553e-10 -1.20683e-09 -8.40639e-10 3.24063e-10 9.52421e-10 -3.90912e-10

#tpc2k_z14_q3
1 14 2 20
# precision: tgt 2.00e-03 max 7.35e-04 (36.8%) avg 1.30e-04 (6.5%)
-1.92475e-03 -1.13369e-05 -1.13869e-05 2.06371e-05 -9.73451e-08 2.15652e-09 7.27494e-07 -6.47046e-08 1.92199e-07 -2.92591e-08 -1.27825e-10 1.34199e-10 1.08552e-09 -1.63891e-10 5.14905e-10 2.00328e-10 -1.23132e-10 2.14407e-10 -4.73429e-10 -1.71224e-10
# precision: tgt 2.00e-03 max 6.61e-04 (33.1%) avg 7.50e-05 (3.8%)
2.21862e-03 2.83968e-05 7.67177e-06 -7.24602e-06 1.73392e-07 2.39636e-07 1.33642e-07 1.03809e-07 7.57129e-07 2.02983e-07 2.68799e-10 5.19269e-10 1.01801e-10 8.23874e-10 5.28588e-10 -3.44606e-10 3.40142e-10 1.25537e-09 2.06831e-10 -5.99310e-10
# precision: tgt 2.00e-03 max 5.53e-04 (27.7%) avg 7.01e-05 (3.5%)
2.04378e+00 1.48867e-05 2.86860e-05 4.49238e-05 5.56559e-07 3.44559e-07 2.78041e-07 4.63469e-07 2.04741e-07 -6.97652e-07 8.79678e-10 7.18793e-10 3.82777e-10 6.51250e-10 -7.51945e-10 -1.27524e-09 5.91048e-10 3.23634e-10 -1.21035e-09 -1.40304e-10

#tpc2k_z14_q4
1 14 3 20
# precision: tgt 2.00e-03 max 6.80e-04 (34.0%) avg 8.57e-05 (4.3%)
3.75201e-03 -4.81298e-05 2.47545e-05 -4.54547e-05 1.94159e-07 -3.39428e-08 9.20933e-07 -1.99953e-08 -3.33387e-07 2.31835e-08 -1.84753e-10 -2.83093e-10 -1.40149e-09 -4.26694e-11 9.25683e-10 6.27415e-11 -1.72361e-10 -4.13077e-10 6.36684e-10 2.58275e-10
# precision: tgt 2.00e-03 max 6.64e-04 (33.2%) avg 1.07e-04 (5.3%)
-2.32548e-03 -1.50648e-05 -1.39462e-05 5.12770e-05 2.37866e-07 -3.24828e-07 -2.86524e-07 2.92309e-08 8.80239e-07 -5.87009e-08 -5.81187e-10 7.84316e-10 3.21545e-10 -1.06630e-09 -7.31508e-10 5.84949e-10 2.68536e-10 1.48106e-09 6.70195e-11 -1.86854e-10
# precision: tgt 2.00e-03 max 6.10e-04 (30.5%) avg 8.49e-05 (4.2%)
2.04409e+00 -2.69015e-05 3.28060e-05 3.89603e-05 5.02560e-07 -3.53089e-07 -2.15931e-07 5.10960e-07 2.14520e-07 -6.49725e-07 -6.13177e-10 7.33264e-10 2.67219e-10 -7.57185e-10 6.69736e-10 1.23302e-09 6.75115e-10 2.25799e-10 -1.31299e-09 -2.79448e-10

#tpc2k_z15_q1
1 15 0 20
# precision: tgt 2.00e-03 max 9.66e-04 (48.3%) avg 1.02e-04 (5.1%)
4.40667e-03 -2.04651e-05 2.64748e-05 -8.33645e-05 8.64583e-08 -3.76306e-07 9.69200e-07 -2.95580e-07 3.32744e-07 1.79540e-07 6.00636e-11 1.26372e-09 -1.82714e-09 6.62087e-10 -6.86807e-10 1.40040e-10 5.37613e-10 -1.20574e-11 -8.99217e-10 4.42901e-11
# precision: tgt 2.00e-03 max 1.08e-03 (54.0%) avg 1.11e-04 (5.5%)
2.72867e-03 2.94925e-05 1.86222e-05 -6.72043e-05 -2.28481e-07 -5.42471e-07 3.09785e-07 -1.46589e-07 8.46195e-07 2.09565e-07 4.55252e-10 8.00881e-10 -2.44677e-10 1.55972e-09 -3.22505e-10 -7.98827e-10 4.54027e-10 -1.45546e-09 1.79550e-10 -4.63689e-11
# precision: tgt 2.00e-03 max 7.35e-04 (36.8%) avg 9.85e-05 (4.9%)
2.04079e+00 -4.01407e-05 -3.85310e-05 1.07119e-04 6.87747e-07 6.97176e-07 -4.43895e-07 6.74445e-07 -3.14164e-07 -9.03820e-07 -1.03680e-09 -8.63513e-10 1.37226e-10 -7.35686e-10 -2.28361e-09 2.27492e-09 -9.67650e-10 9.53821e-11 1.87355e-09 -1.98555e-10

#tpc2k_z15_q2
1 15 1 20
# precision: tgt 2.00e-03 max 9.83e-04 (49.1%) avg 9.59e-05 (4.8%)
8.26414e-04 1.45653e-05 -1.75590e-05 -9.63870e-07 6.60824e-08 -3.44086e-07 7.59584e-07 1.80939e-07 -2.42737e-07 9.97957e-08 3.20016e-10 -1.17600e-09 1.45654e-09 3.41007e-10 -2.79564e-10 2.87017e-10 -3.50312e-10 2.87500e-11 7.50465e-10 -4.16315e-10
# precision: tgt 2.00e-03 max 9.49e-04 (47.5%) avg 8.69e-05 (4.3%)
1.79408e-03 -1.83215e-05 -7.60615e-06 -3.08011e-05 -2.50988e-07 2.97949e-07 -2.86479e-07 -6.59506e-10 8.42154e-07 2.71332e-08 -5.78362e-10 4.33886e-10 -1.78056e-10 -1.15184e-09 5.84843e-10 7.08985e-10 1.38883e-10 -1.39167e-09 2.20921e-10 2.31800e-10
# precision: tgt 2.00e-03 max 8.07e-04 (40.4%) avg 9.74e-05 (4.9%)
2.04219e+00 4.77059e-05 -4.36640e-05 9.40426e-05 6.79071e-07 -7.63420e-07 3.15966e-07 7.46653e-07 -3.25694e-07 -8.67788e-07 8.49052e-10 -1.04139e-09 -8.29563e-11 1.07025e-09 2.15828e-09 -2.01088e-09 -1.11328e-09 7.59166e-11 1.85381e-09 -1.99684e-10

#tpc2k_z15_q3
1 15 2 20
# precision: tgt 2.00e-03 max 1.13e-03 (56.5%) avg 1.50e-04 (7.5%)
1.46588e-03 1.28231e-05 6.29760e-06 -1.12926e-05 8.64481e-09 3.04042e-07 7.45640e-07 9.62101e-08 3.29271e-07 1.75041e-07 2.22575e-10 9.54888e-10 1.58913e-09 2.86596e-10 4.23896e-10 4.25474e-10 1.82918e-10 1.92474e-10 -8.48582e-10 -5.58086e-10
# precision: tgt 2.00e-03 max 1.22e-03 (61.2%) avg 1.26e-04 (6.3%)
3.65281e-03 5.37368e-05 1.47704e-05 -5.01556e-06 3.14308e-07 5.73646e-07 2.04239e-07 1.61280e-07 9.06639e-07 2.13793e-07 4.33277e-10 1.00665e-09 -5.22449e-11 1.71486e-09 4.04198e-10 -6.53558e-10 6.45945e-10 1.95647e-09 2.18480e-10 -6.24585e-10
# precision: tgt 2.00e-03 max 6.60e-04 (33.0%) avg 8.78e-05 (4.4%)
2.03871e+00 4.29000e-05 5.91683e-05 1.41544e-04 7.96995e-07 7.50722e-07 4.69609e-07 6.73310e-07 3.31914e-07 -1.06814e-06 1.18531e-09 9.35567e-10 -1.54535e-10 8.58131e-10 -2.30845e-09 -2.47473e-09 9.15631e-10 -3.40503e-11 -2.13901e-09 5.65686e-11

#tpc2k_z15_q4
1 15 3 20
# precision: tgt 2.00e-03 max 9.28e-04 (46.4%) avg 1.25e-04 (6.2%)
3.64820e-03 -7.29457e-05 2.39281e-05 -3.54835e-05 2.58740e-07 1.23287e-07 1.16506e-06 -1.09086e-07 -4.83088e-07 -1.08440e-07 -6.23477e-11 -9.18907e-10 -2.25624e-09 1.86892e-10 1.10365e-09 1.48270e-11 -3.88787e-10 -4.73776e-10 9.19849e-10 5.13636e-10
# precision: tgt 2.00e-03 max 1.25e-03 (62.5%) avg 1.44e-04 (7.2%)
3.99737e-04 -1.52600e-05 -3.61007e-05 5.12647e-06 3.39160e-07 -4.87748e-07 -4.60532e-07 -7.64038e-09 1.12627e-06 2.49337e-07 -7.74048e-10 1.09364e-09 3.20567e-10 -1.70336e-09 -9.72519e-10 9.42500e-10 4.68506e-10 2.33826e-09 3.18110e-11 -7.29349e-10
# precision: tgt 2.00e-03 max 8.08e-04 (40.4%) avg 9.10e-05 (4.5%)
2.04288e+00 -5.40634e-05 6.94015e-05 8.81279e-05 7.34921e-07 -8.15218e-07 -4.27687e-07 7.40350e-07 3.30394e-07 -8.13817e-07 -1.04471e-09 1.09527e-09 6.10435e-11 -1.10112e-09 2.19279e-09 2.28888e-09 1.04125e-09 -8.72728e-11 -2.18293e-09 -3.53587e-10

#tpc2k_z16_q1
1 16 0 20
# precision: tgt 2.00e-03 max 1.18e-03 (59.2%) avg 1.44e-04 (7.2%)
4.34562e-02 -2.92106e-04 -2.68720e-04 -2.75064e-04 7.05149e-07 -1.82216e-08 2.41495e-06 -2.29913e-08 2.21211e-06 7.45840e-08 4.19754e-10 1.90507e-09 -5.05062e-09 1.11720e-10 -2.10343e-09 -1.00679e-09 4.86099e-10 -7.90704e-10 -3.93295e-09 1.05801e-09
# precision: tgt 2.00e-03 max 1.25e-03 (62.4%) avg 1.59e-04 (8.0%)
6.12358e-02 -2.73219e-04 -3.17505e-04 -4.26179e-04 7.64249e-08 1.01706e-07 2.13025e-06 6.94744e-07 2.50200e-06 6.37740e-07 3.51360e-10 -1.51207e-10 -8.69124e-10 1.67276e-09 -2.13184e-09 -3.76449e-09 3.15021e-10 -4.67963e-09 -1.24796e-09 3.62317e-10
# precision: tgt 2.00e-03 max 1.76e-03 (87.8%) avg 1.98e-04 (9.9%)
1.98347e+00 1.49288e-04 1.72404e-04 6.11758e-04 8.59486e-07 1.37890e-06 -2.29399e-06 9.21438e-07 -2.40886e-06 -2.09031e-06 -1.44366e-09 -5.34328e-10 -1.73179e-10 -3.67885e-10 -5.67350e-09 6.70829e-09 -1.29050e-09 -5.77963e-10 6.93898e-09 9.03919e-11

#tpc2k_z16_q2
1 16 1 20
# precision: tgt 2.00e-03 max 9.93e-04 (49.6%) avg 1.41e-04 (7.1%)
-4.03163e-02 -2.76748e-04 2.16080e-04 2.45520e-04 -7.95315e-07 2.94914e-09 2.20106e-06 4.77923e-08 -1.83829e-06 -1.16702e-07 3.25748e-10 -1.78567e-09 5.20950e-09 1.16550e-10 -2.07063e-09 -5.65642e-10 -5.63879e-10 7.56008e-10 3.30910e-09 -8.41901e-10
# precision: tgt 2.00e-03 max 1.07e-03 (53.5%) avg 1.36e-04 (6.8%)
4.19639e-02 2.10891e-04 -2.96052e-04 -2.62886e-04 -3.98903e-08 -9.93279e-08 -1.76121e-06 7.89832e-07 2.27807e-06 1.99198e-07 -6.10451e-10 1.32401e-10 -8.76545e-10 -1.70691e-09 2.25942e-09 3.10240e-09 2.90327e-10 -4.95121e-09 -7.37872e-10 7.11624e-10
# precision: tgt 2.00e-03 max 1.63e-03 (81.3%) avg 2.17e-04 (10.9%)
1.96335e+00 -3.80440e-05 5.59868e-05 9.06017e-04 1.22108e-06 -1.78323e-06 1.87136e-06 1.28921e-06 -2.00301e-06 -3.28872e-06 1.70311e-09 -1.01171e-09 -1.02982e-09 1.00579e-09 6.31724e-09 -6.42379e-09 -1.70345e-09 -1.20572e-09 6.62067e-09 1.59468e-09

#tpc2k_z16_q3
1 16 2 20
# precision: tgt 2.00e-03 max 1.06e-03 (53.2%) avg 1.69e-04 (8.5%)
-1.50557e-02 -2.91885e-04 -1.81767e-04 -9.21940e-06 -9.76357e-07 -2.80370e-07 2.06198e-06 -6.47720e-08 1.41794e-06 6.47734e-07 -1.41091e-10 1.01241e-09 4.96877e-09 -5.09975e-10 1.91673e-09 -4.06799e-10 2.83293e-10 5.88313e-10 -2.60360e-09 -1.57497e-09
# precision: tgt 2.00e-03 max 1.19e-03 (59.3%) avg 1.78e-04 (8.9%)
-1.87883e-03 -1.79690e-04 -2.66839e-04 -1.04751e-04 1.03745e-07 3.36238e-09 1.61743e-06 -8.43133e-07 2.07120e-06 1.02750e-06 7.69728e-10 3.56808e-10 9.02366e-10 1.95208e-09 2.25025e-09 -2.78919e-09 3.68201e-10 5.58821e-09 -2.38354e-10 -2.04176e-09
# precision: tgt 2.00e-03 max 1.81e-03 (90.3%) avg 1.88e-04 (9.4%)
1.97804e+00 -1.46959e-04 -1.23071e-04 6.81687e-04 9.56469e-07 1.48085e-06 2.37787e-06 1.02767e-06 2.34816e-06 -2.33126e-06 1.62683e-09 5.60536e-10 -2.62810e-10 7.49293e-10 -5.66904e-09 -6.96625e-09 1.76960e-09 -3.85907e-10 -7.05372e-09 3.43130e-10

#tpc2k_z16_q4
1 16 3 20
# precision: tgt 2.00e-03 max 1.19e-03 (59.5%) avg 1.71e-04 (8.5%)
4.30369e-02 -3.11196e-04 2.76818e-04 -2.54524e-04 7.97212e-07 -1.29105e-07 2.41486e-06 7.27445e-08 -2.12864e-06 -5.85579e-09 3.82403e-11 -1.38060e-09 -4.65680e-09 -2.50523e-10 1.87273e-09 -1.17975e-09 -3.84215e-10 -8.95765e-10 3.78449e-09 1.17145e-09
# precision: tgt 2.00e-03 max 9.39e-04 (47.0%) avg 1.45e-04 (7.2%)
-5.61762e-02 2.43040e-04 -3.07544e-04 4.17125e-04 1.10972e-07 7.08208e-09 -2.07515e-06 -7.87410e-07 2.40288e-06 -6.03494e-07 -6.09976e-10 2.46698e-10 6.76815e-10 -1.53236e-09 -2.02612e-09 3.74213e-09 3.89974e-10 5.31642e-09 -9.69034e-10 -4.05773e-10
# precision: tgt 2.00e-03 max 1.68e-03 (84.2%) avg 1.95e-04 (9.7%)
1.98650e+00 9.77085e-05 -1.00751e-04 6.05786e-04 1.10737e-06 -1.67714e-06 -2.23687e-06 1.12166e-06 2.30475e-06 -2.07389e-06 -1.65457e-09 1.05826e-09 -6.26316e-10 -1.09555e-09 5.79231e-09 6.87490e-09 1.91756e-09 -4.35319e-10 -7.01612e-09 3.35930e-11

#tpc2k_z17_q1
1 17 0 20
# precision: tgt 2.00e-03 max 2.50e-03 (125.2%) avg 2.33e-04 (11.6%)
2.46743e-01 -7.79618e-04 -6.41393e-04 -1.93569e-03 2.11674e-06 4.87109e-07 4.33605e-06 1.16599e-07 4.26487e-06 4.69345e-06 4.73206e-10 3.22712e-09 -1.02248e-08 -3.51042e-10 -4.38851e-09 -1.69779e-09 8.08573e-10 -1.47820e-09 -6.52740e-09 -3.45197e-09
# precision: tgt 2.00e-03 max 2.33e-03 (116.3%) avg 2.51e-04 (12.5%)
-4.36630e-01 -6.67695e-04 -6.99656e-04 4.50344e-03 2.24436e-07 4.42864e-07 4.36902e-06 2.23330e-06 3.72106e-06 -1.53959e-05 7.92213e-10 -3.56339e-10 -1.79364e-09 3.27019e-09 -4.25703e-09 -6.60768e-09 5.10644e-10 -1.05117e-08 -6.30925e-10 1.74089e-08
# precision: tgt 2.00e-03 max 3.49e-03 (174.6%) avg 3.99e-04 (20.0%)
2.03023e+00 2.35066e-06 1.43273e-04 2.27170e-04 2.35276e-06 4.36159e-06 -3.31823e-06 2.47084e-06 -4.22372e-06 -4.71565e-07 -3.58940e-09 -2.22543e-09 -2.02961e-09 -2.04672e-09 -1.32179e-08 1.03285e-08 -3.70498e-09 -2.34542e-09 1.18189e-08 -2.50934e-09

#tpc2k_z17_q2
1 17 1 20
# precision: tgt 2.00e-03 max 2.20e-03 (109.8%) avg 2.33e-04 (11.6%)
2.17068e-01 -9.92497e-04 7.23034e-04 -2.55395e-03 -2.20599e-06 3.48800e-07 5.66835e-06 -7.30012e-08 -4.84506e-06 9.69912e-06 4.51472e-10 -3.40389e-09 1.05680e-08 -9.01646e-11 -4.25084e-09 -3.73181e-09 -1.06227e-09 1.67536e-09 7.41901e-09 -1.19184e-08
# precision: tgt 2.00e-03 max 2.31e-03 (115.4%) avg 2.27e-04 (11.4%)
-1.50991e-01 5.05800e-04 -6.00144e-04 1.71839e-03 1.00120e-07 -5.39365e-07 -3.40567e-06 2.29713e-06 3.03991e-06 -6.36823e-06 -1.01594e-09 -2.63846e-10 -1.69089e-09 -3.17704e-09 4.48670e-09 5.12637e-09 4.46264e-10 -1.05944e-08 4.76028e-10 7.68092e-09
# precision: tgt 2.00e-03 max 3.70e-03 (184.8%) avg 4.00e-04 (20.0%)
1.85861e+00 -1.79385e-04 3.43682e-05 1.81240e-03 2.42597e-06 -4.48008e-06 4.44517e-06 2.49354e-06 -3.55420e-06 -5.34370e-06 3.92442e-09 -2.65008e-09 -1.84123e-09 2.51611e-09 1.30244e-08 -1.19861e-08 -3.97010e-09 -2.03346e-09 1.06116e-08 2.50463e-09

#tpc2k_z17_q3
1 17 2 20
# precision: tgt 2.00e-03 max 2.12e-03 (106.2%) avg 2.61e-04 (13.0%)
3.70611e-01 -8.98706e-04 -6.19428e-04 -3.97507e-03 -2.42548e-06 -4.47531e-07 4.85430e-06 -1.52586e-07 4.11926e-06 1.40337e-05 5.04967e-11 2.90994e-09 1.05981e-08 -4.89877e-10 3.87616e-09 -2.42819e-09 8.47237e-10 1.54461e-09 -6.34935e-09 -1.63184e-08
# precision: tgt 2.00e-03 max 2.62e-03 (130.9%) avg 2.75e-04 (13.8%)
3.55194e-02 -4.50421e-04 -8.77324e-04 -7.11178e-04 6.92535e-08 -4.27045e-07 3.21209e-06 -2.34809e-06 4.77990e-06 3.58790e-06 1.25734e-09 1.27453e-10 1.52548e-09 3.50315e-09 4.63597e-09 -4.81996e-09 4.75663e-10 1.11896e-08 -2.09623e-09 -5.15790e-09
# precision: tgt 2.00e-03 max 3.56e-03 (178.0%) avg 3.91e-04 (19.5%)
1.54971e+00 -1.23899e-04 -1.13868e-04 4.67231e-03 2.32816e-06 4.26139e-06 4.00633e-06 2.37671e-06 4.04443e-06 -1.41834e-05 3.77961e-09 2.08374e-09 -1.75135e-09 2.20720e-09 -1.27625e-08 -1.12632e-08 3.91440e-09 -1.83095e-09 -1.14383e-08 1.16162e-08

#tpc2k_z17_q4
1 17 3 20
# precision: tgt 2.00e-03 max 2.26e-03 (113.1%) avg 2.59e-04 (13.0%)
-4.01993e-01 -6.58057e-04 5.03686e-04 4.07977e-03 2.27709e-06 -3.55025e-07 3.47952e-06 1.10862e-07 -3.42678e-06 -1.38767e-05 2.86043e-10 -3.25738e-09 -1.04507e-08 -1.63397e-10 4.03754e-09 -3.09629e-10 -9.08603e-10 -1.65975e-09 5.20355e-09 1.56340e-08
# precision: tgt 2.00e-03 max 2.03e-03 (101.3%) avg 2.49e-04 (12.5%)
4.10179e-01 3.93013e-04 -8.56998e-04 -4.18549e-03 9.95368e-08 3.49635e-07 -2.87655e-06 -2.24347e-06 4.73415e-06 1.43291e-05 -1.19058e-09 2.98098e-10 1.41199e-09 -3.33493e-09 -4.48905e-09 4.35376e-09 5.78168e-10 1.09424e-08 -2.12000e-09 -1.62230e-08
# precision: tgt 2.00e-03 max 3.85e-03 (192.7%) avg 3.80e-04 (19.0%)
1.80441e+00 1.93232e-04 -1.48527e-04 2.25381e-03 2.20844e-06 -4.13943e-06 -4.33904e-06 2.39765e-06 4.22280e-06 -6.56634e-06 -3.83680e-09 2.45528e-09 -1.24688e-09 -2.51271e-09 1.19847e-08 1.14952e-08 4.04817e-09 -1.66959e-09 -1.15522e-08 3.66892e-09

#tpc2k_z18_q1
1 18 0 20
# precision: tgt 2.00e-03 max 4.61e-03 (230.4%) avg 4.91e-04 (24.5%)
1.11383e-01 -2.31248e-03 -1.97418e-03 2.78287e-04 6.30492e-06 2.00696e-06 9.79638e-06 6.97391e-07 1.08246e-05 -4.09815e-06 8.46738e-10 7.16796e-09 -2.35995e-08 -1.49550e-10 -1.12998e-08 -3.95134e-09 2.08791e-09 -4.46836e-09 -1.37423e-08 6.62686e-09
# precision: tgt 2.00e-03 max 5.00e-03 (250.2%) avg 5.01e-04 (25.1%)
1.19438e-01 -1.86554e-03 -2.29033e-03 1.83079e-04 7.14075e-07 1.90196e-06 1.02638e-05 6.33528e-06 9.67218e-06 -3.68911e-06 2.16643e-09 -1.03598e-10 -4.66170e-09 7.17188e-09 -1.09890e-08 -1.29754e-08 1.12131e-09 -2.39150e-08 -3.72300e-09 6.12266e-09
# precision: tgt 2.00e-03 max 8.10e-03 (404.9%) avg 7.87e-04 (39.4%)
1.39893e+00 1.07441e-03 1.10514e-03 4.97715e-03 4.69288e-06 1.08392e-05 -1.27717e-05 4.99892e-06 -1.30767e-05 -1.12247e-05 -8.69990e-09 -6.26928e-09 -2.40947e-09 -6.08618e-09 -2.66418e-08 2.60958e-08 -8.79372e-09 -3.18569e-09 2.67060e-08 4.54974e-09

#tpc2k_z18_q2
1 18 1 20
# precision: tgt 2.00e-03 max 4.39e-03 (219.3%) avg 4.66e-04 (23.3%)
-2.23267e-01 -2.25139e-03 1.86645e-03 6.40171e-04 -6.30218e-06 1.87736e-06 9.48863e-06 -4.80380e-07 -1.03973e-05 1.53581e-06 9.04048e-10 -7.15088e-09 2.37221e-08 1.26676e-10 -1.10943e-08 -3.53383e-09 -2.34700e-09 4.21310e-09 1.32798e-08 -4.27080e-09
# precision: tgt 2.00e-03 max 4.87e-03 (243.4%) avg 4.85e-04 (24.3%)
7.94051e-03 1.80412e-03 -2.31769e-03 1.04741e-03 7.64429e-07 -2.03458e-06 -9.89451e-06 6.37823e-06 9.79651e-06 -5.92299e-06 -2.05559e-09 -4.19385e-10 -4.59876e-09 -6.85778e-09 1.09396e-08 1.25560e-08 8.87084e-10 -2.36899e-08 -4.00742e-09 8.06643e-09
# precision: tgt 2.00e-03 max 7.97e-03 (398.7%) avg 7.97e-04 (39.8%)
1.37696e+00 -9.49799e-04 1.13265e-03 5.18707e-03 4.80019e-06 -1.08096e-05 1.21190e-05 4.98994e-06 -1.31774e-05 -1.18859e-05 8.63340e-09 -6.13357e-09 -2.84453e-09 5.98626e-09 2.67507e-08 -2.53721e-08 -8.75585e-09 -3.25324e-09 2.68323e-08 5.22795e-09

#tpc2k_z18_q3
1 18 2 20
# precision: tgt 2.00e-03 max 5.16e-03 (258.2%) avg 4.48e-04 (22.4%)
-9.84845e-02 -2.19813e-03 -1.81472e-03 -3.35053e-04 -6.17476e-06 -1.65559e-06 9.29628e-06 -5.13190e-07 1.01461e-05 4.08466e-06 7.39155e-10 7.14431e-09 2.31998e-08 -2.00471e-10 1.01646e-08 -3.46433e-09 2.13051e-09 4.00500e-09 -1.30605e-08 -6.50713e-09
# precision: tgt 2.00e-03 max 4.56e-03 (228.2%) avg 4.88e-04 (24.4%)
-1.02155e-01 -1.74832e-03 -2.15721e-03 -2.37667e-04 -5.64558e-07 -1.86563e-06 9.71633e-06 -6.36026e-06 8.94915e-06 3.71261e-06 2.26711e-09 -2.43674e-10 4.23964e-09 6.60967e-09 1.04794e-08 -1.23820e-08 8.37302e-10 2.38366e-08 -2.90536e-09 -6.07643e-09
# precision: tgt 2.00e-03 max 7.74e-03 (386.8%) avg 7.97e-04 (39.9%)
1.55548e+00 -1.10459e-03 -1.10531e-03 3.69851e-03 4.73219e-06 1.07470e-05 1.29371e-05 4.86134e-06 1.30906e-05 -7.74799e-06 8.65496e-09 5.87431e-09 -2.57313e-09 5.97733e-09 -2.65392e-08 -2.63878e-08 8.75598e-09 -2.92537e-09 -2.68173e-08 1.40606e-09

#tpc2k_z18_q4
1 18 3 20
# precision: tgt 2.00e-03 max 5.11e-03 (255.6%) avg 4.71e-04 (23.5%)
1.32889e-01 -2.15293e-03 1.77893e-03 1.42757e-05 6.12343e-06 -1.54855e-06 9.11982e-06 4.25148e-07 -9.99864e-06 -3.18818e-06 6.65371e-10 -7.35159e-09 -2.29573e-08 5.18147e-11 1.01505e-08 -3.30248e-09 -2.14383e-09 -3.87217e-09 1.28893e-08 5.66573e-09
# precision: tgt 2.00e-03 max 4.54e-03 (226.8%) avg 4.95e-04 (24.7%)
-5.04379e-03 1.73862e-03 -2.15018e-03 -1.01156e-03 -4.77348e-07 1.64699e-06 -9.73561e-06 -6.22532e-06 9.04154e-06 5.79348e-06 -2.35561e-09 -2.44982e-11 4.16061e-09 -6.79529e-09 -1.01796e-08 1.24466e-08 1.04742e-09 2.37261e-08 -3.10714e-09 -7.95088e-09
# precision: tgt 2.00e-03 max 7.87e-03 (393.7%) avg 7.83e-04 (39.1%)
1.50305e+00 1.06026e-03 -1.05306e-03 4.14301e-03 4.71552e-06 -1.06046e-05 -1.26408e-05 4.80108e-06 1.27272e-05 -9.02858e-06 -8.62740e-09 5.92249e-09 -2.52881e-09 -5.94779e-09 2.61290e-08 2.58545e-08 8.72445e-09 -2.81034e-09 -2.62390e-08 2.65206e-09

#tpc2k_z19_q1
1 19 0 20
# precision: tgt 2.00e-03 max 1.04e-02 (521.0%) avg 9.97e-04 (49.9%)
-2.09200e-01 -6.21064e-03 -5.84359e-03 4.50083e-03 1.82057e-05 7.96293e-06 2.07323e-05 3.17775e-06 2.67700e-05 -1.77743e-05 3.46068e-10 1.43041e-08 -5.44970e-08 -1.78513e-10 -3.00118e-08 -6.06548e-09 4.84320e-09 -1.30660e-08 -2.84966e-08 1.92998e-08
# precision: tgt 2.00e-03 max 1.08e-02 (538.0%) avg 1.05e-03 (52.7%)
4.79877e-01 -5.65521e-03 -6.39654e-03 -3.55879e-04 3.09987e-06 7.40951e-06 2.60708e-05 1.84354e-05 2.16781e-05 -6.35814e-06 4.58888e-09 -2.89283e-10 -1.26898e-08 1.45246e-08 -2.86401e-08 -2.79551e-08 6.14910e-10 -5.53387e-08 -7.19411e-09 1.03989e-08
# precision: tgt 2.00e-03 max 1.79e-02 (892.7%) avg 1.73e-03 (86.3%)
-2.87050e-01 4.64755e-03 5.03094e-03 1.51313e-02 1.02605e-05 2.72608e-05 -3.76375e-05 1.06701e-05 -3.96417e-05 -2.86816e-05 -1.96489e-08 -1.61663e-08 -4.12929e-09 -1.58322e-08 -5.68525e-08 6.15194e-08 -2.02280e-08 -4.76835e-09 6.40878e-08 1.16854e-08

#tpc2k_z19_q2
1 19 1 20
# precision: tgt 2.00e-03 max 1.00e-02 (501.7%) avg 1.01e-03 (50.5%)
-1.09641e-01 -6.48854e-03 5.70232e-03 -2.32124e-03 -1.81312e-05 7.76608e-06 2.21311e-05 -3.05870e-06 -2.62132e-05 1.27856e-05 7.50217e-10 -1.47309e-08 5.48303e-08 4.96971e-11 -2.98363e-08 -7.68066e-09 -4.90766e-09 1.28539e-08 2.79518e-08 -1.55208e-08
# precision: tgt 2.00e-03 max 1.06e-02 (531.9%) avg 1.03e-03 (51.3%)
3.83754e-01 5.57014e-03 -6.52588e-03 3.12701e-04 2.92891e-06 -7.24604e-06 -2.58073e-05 1.83474e-05 2.23927e-05 -7.93720e-06 -4.82502e-09 2.23396e-10 -1.25802e-08 -1.50133e-08 2.87166e-08 2.77137e-08 7.51704e-10 -5.53242e-08 -8.07536e-09 1.16535e-08
# precision: tgt 2.00e-03 max 1.77e-02 (887.0%) avg 1.72e-03 (85.9%)
6.65660e-02 -4.74472e-03 4.77673e-03 1.26768e-02 1.08388e-05 -2.77664e-05 3.84982e-05 1.11024e-05 -3.87460e-05 -2.29405e-05 1.96799e-08 -1.60469e-08 -5.59204e-09 1.56902e-08 5.83070e-08 -6.31426e-08 -1.99773e-08 -6.08104e-09 6.35007e-08 7.14612e-09

#tpc2k_z19_q3
1 19 2 20
# precision: tgt 2.00e-03 max 1.07e-02 (533.6%) avg 9.77e-04 (48.8%)
-2.26996e-01 -6.23268e-03 -5.61058e-03 -1.40867e-03 -1.78166e-05 -7.02921e-06 2.11673e-05 -2.86077e-06 2.59979e-05 1.04813e-05 5.36713e-10 1.48219e-08 5.38240e-08 -2.22103e-10 2.77258e-08 -6.93505e-09 4.58354e-09 1.20014e-08 -2.80728e-08 -1.36380e-08
# precision: tgt 2.00e-03 max 9.95e-03 (497.7%) avg 1.00e-03 (50.1%)
4.70643e-02 -5.62290e-03 -6.23305e-03 -3.32974e-03 -2.78194e-06 -7.24842e-06 2.60492e-05 -1.78888e-05 2.11100e-05 1.50319e-05 4.77123e-09 -3.98013e-10 1.19266e-08 1.39284e-08 2.77763e-08 -2.81362e-08 7.14026e-10 5.41638e-08 -6.88872e-09 -1.72462e-08
# precision: tgt 2.00e-03 max 1.84e-02 (921.4%) avg 1.70e-03 (85.2%)
-1.55460e-02 -4.60092e-03 -4.50419e-03 1.33132e-02 1.00997e-05 2.68233e-05 3.71591e-05 1.03322e-05 3.68524e-05 -2.47264e-05 1.94789e-08 1.53972e-08 -3.98133e-09 1.52191e-08 -5.64130e-08 -6.07943e-08 1.95762e-08 -4.64760e-09 -6.07033e-08 8.89818e-09

#tpc2k_z19_q4
1 19 3 20
# precision: tgt 2.00e-03 max 1.02e-02 (510.4%) avg 9.61e-04 (48.0%)
3.05298e-02 -6.14869e-03 5.53384e-03 2.75346e-03 1.76494e-05 -7.12458e-06 2.08331e-05 2.72315e-06 -2.56421e-05 -1.35996e-05 2.71806e-10 -1.45673e-08 -5.30104e-08 -1.36533e-10 2.78516e-08 -6.74323e-09 -4.65752e-09 -1.17533e-08 2.76807e-08 1.60444e-08
# precision: tgt 2.00e-03 max 1.06e-02 (527.9%) avg 1.01e-03 (50.6%)
-2.75560e-01 5.48727e-03 -6.12380e-03 -9.62564e-04 -2.73549e-06 7.00193e-06 -2.54513e-05 -1.77529e-05 2.06986e-05 9.26757e-06 -4.76206e-09 -1.04623e-10 1.18828e-08 -1.40010e-08 -2.73968e-08 2.74574e-08 8.72365e-10 5.39831e-08 -6.48858e-09 -1.25821e-08
# precision: tgt 2.00e-03 max 1.78e-02 (889.6%) avg 1.67e-03 (83.6%)
5.85055e-02 4.63475e-03 -4.45744e-03 1.27570e-02 1.02057e-05 -2.67362e-05 -3.73297e-05 1.03872e-05 3.66400e-05 -2.33421e-05 -1.92039e-08 1.54026e-08 -4.44913e-09 -1.49863e-08 5.62747e-08 6.10041e-08 1.95748e-08 -4.85474e-09 -6.05045e-08 7.75061e-09

#tpc2k_z2_q1
1 2 0 20
# precision: tgt 2.00e-03 max 8.93e-03 (446.5%) avg 9.72e-04 (48.6%)
-4.67475e-01 5.32072e-03 4.81123e-03 -1.04397e-03 -1.35901e-05 -2.60314e-06 2.12629e-05 -1.49568e-06 2.42854e-05 3.95415e-06 -2.59774e-09 -1.37351e-08 -4.42796e-08 -5.37925e-10 -1.66182e-08 1.27959e-08 -4.81976e-09 -8.95130e-09 2.86045e-08 8.70228e-09
# precision: tgt 2.00e-03 max 1.09e-02 (547.3%) avg 1.10e-03 (55.0%)
-6.95077e-01 4.51657e-03 5.50479e-03 -2.41313e-03 -5.19430e-07 -4.34935e-06 2.28073e-05 -1.44827e-05 2.05459e-05 6.40894e-07 -4.27393e-09 -8.70847e-10 -6.09213e-09 -1.52605e-08 -2.16682e-08 2.68664e-08 -1.26685e-09 -4.57211e-08 1.00118e-08 5.59101e-09
# precision: tgt 2.00e-03 max 1.56e-02 (781.8%) avg 1.70e-03 (84.9%)
6.78857e-01 1.69028e-03 2.14424e-03 -9.37811e-03 1.34097e-05 2.67113e-05 2.47220e-05 1.16660e-05 2.49836e-05 -1.83925e-05 -1.54955e-08 -1.07606e-08 1.67893e-08 -1.17088e-08 6.04237e-08 4.90345e-08 -1.73497e-08 1.07905e-08 4.67211e-08 -6.75954e-09

#tpc2k_z2_q2
1 2 1 20
# precision: tgt 2.00e-03 max 1.13e-02 (567.2%) avg 1.23e-03 (61.6%)
5.48171e-01 6.59904e-03 -6.05718e-03 4.44310e-04 1.89274e-05 -9.40979e-06 2.09152e-05 2.35661e-06 -2.76151e-05 -6.49754e-06 -9.77019e-10 1.70189e-08 5.74568e-08 -1.55961e-09 -3.57809e-08 3.80489e-09 5.20297e-09 1.16508e-08 -2.89105e-08 -1.02596e-08
# precision: tgt 2.00e-03 max 1.08e-02 (541.7%) avg 1.14e-03 (57.1%)
-3.48432e-01 -5.51952e-03 6.48237e-03 6.07367e-04 -2.53334e-06 4.39431e-06 -2.62663e-05 -1.64502e-05 2.39547e-05 8.98371e-06 6.34031e-09 -2.33926e-09 -1.34866e-08 1.69642e-08 2.38933e-08 -2.83835e-08 -3.37199e-09 -5.30584e-08 1.15427e-08 1.28738e-08
# precision: tgt 2.00e-03 max 1.80e-02 (898.1%) avg 1.88e-03 (93.9%)
-2.53200e-01 -5.07636e-03 3.90395e-03 -1.49197e-02 8.07986e-06 -2.80291e-05 -3.83111e-05 1.30637e-05 3.58785e-05 -2.81553e-05 1.95642e-08 -1.51064e-08 -7.70192e-10 1.20488e-08 -6.12435e-08 -6.11380e-08 -1.84550e-08 1.33700e-08 6.25683e-08 -1.11958e-08

#tpc2k_z2_q3
1 2 2 20
# precision: tgt 2.00e-03 max 1.10e-02 (548.7%) avg 1.22e-03 (61.0%)
2.80871e-01 6.25696e-03 5.46717e-03 -1.24665e-03 1.96053e-05 9.75925e-06 1.87380e-05 2.82681e-06 2.44075e-05 -9.91282e-06 1.03752e-10 -1.54590e-08 5.78713e-08 -3.90478e-10 3.51675e-08 9.47522e-10 -4.56438e-09 1.20859e-08 2.48812e-08 -1.24528e-08
# precision: tgt 2.00e-03 max 1.19e-02 (596.7%) avg 1.13e-03 (56.6%)
5.21387e-01 5.57122e-03 5.77210e-03 8.09344e-04 3.71987e-06 6.75272e-06 2.53487e-05 1.74468e-05 1.90490e-05 -5.04092e-06 -5.44536e-09 -1.44155e-09 1.53810e-08 -1.55650e-08 2.86212e-08 2.60909e-08 -1.80999e-09 5.42714e-08 4.05122e-09 -9.11538e-09
# precision: tgt 2.00e-03 max 1.80e-02 (900.5%) avg 1.89e-03 (94.4%)
-2.25404e-01 -5.86395e-03 -4.99354e-03 -1.42684e-02 6.32385e-06 2.48889e-05 -4.07952e-05 9.16197e-06 -3.89637e-05 -2.57799e-05 1.88286e-08 1.30007e-08 -4.31058e-09 1.15235e-08 5.43806e-08 -6.27369e-08 1.74627e-08 4.13707e-09 -6.36165e-08 -8.85317e-09

#tpc2k_z2_q4
1 2 3 20
# precision: tgt 2.00e-03 max 1.00e-02 (501.9%) avg 9.97e-04 (49.8%)
-2.86430e-01 5.25304e-03 -4.47008e-03 2.09466e-04 -1.46300e-05 2.88708e-06 2.01682e-05 -2.49169e-06 -2.18593e-05 6.67035e-06 -1.41272e-09 1.27785e-08 -4.56743e-08 4.63376e-10 1.61447e-08 1.08769e-08 4.28285e-09 -1.08176e-08 -2.49398e-08 1.05385e-08
# precision: tgt 2.00e-03 max 1.06e-02 (528.9%) avg 1.08e-03 (54.0%)
1.70968e-01 -4.25145e-03 4.61435e-03 -1.05972e-03 5.91286e-07 -6.11863e-06 -2.10150e-05 1.47150e-05 1.53280e-05 -8.20535e-06 3.98914e-09 1.28108e-10 5.92315e-09 1.33492e-08 -2.48375e-08 -2.41246e-08 1.92753e-10 4.50438e-08 2.83987e-09 -1.09174e-08
# precision: tgt 2.00e-03 max 1.70e-02 (848.9%) avg 1.59e-03 (79.6%)
3.15302e-01 2.35249e-03 -3.02916e-03 -1.16389e-02 1.22569e-05 -2.33786e-05 2.69609e-05 7.50984e-06 -2.68983e-05 -2.32064e-05 -1.59858e-08 9.36889e-09 1.35294e-08 -1.18181e-08 -5.23291e-08 5.04293e-08 1.62578e-08 1.02923e-09 -4.61156e-08 -1.03286e-08

#tpc2k_z20_q1
1 20 0 20
# precision: tgt 2.00e-03 max 2.38e-02 (1188.4%) avg 2.31e-03 (115.3%)
5.31447e+00 -2.40305e-02 -2.03020e-02 -2.42637e-02 5.43256e-05 3.17569e-05 7.44872e-05 1.43584e-05 7.83847e-05 3.25628e-05 -5.65031e-09 2.68361e-08 -1.32319e-07 -1.41012e-09 -8.80157e-08 -3.74198e-08 9.81355e-09 -4.12873e-08 -7.08182e-08 -1.11972e-08
# precision: tgt 2.00e-03 max 2.38e-02 (1190.1%) avg 2.52e-03 (126.0%)
7.53308e+00 -1.72962e-02 -2.49432e-02 -3.89471e-02 1.44288e-05 3.06205e-05 6.59627e-05 5.58190e-05 7.82747e-05 6.48504e-05 1.00244e-08 -1.05880e-12 -4.20260e-08 2.92790e-08 -8.73794e-08 -5.76751e-08 -4.52185e-09 -1.37114e-07 -4.07598e-08 -3.48142e-08
# precision: tgt 2.00e-03 max 5.07e-02 (2533.4%) avg 4.14e-03 (206.9%)
-8.70864e+00 1.39569e-02 1.30259e-02 6.61098e-02 2.33128e-05 7.14565e-05 -9.53346e-05 2.57718e-05 -9.25614e-05 -1.26557e-04 -4.77695e-08 -4.93327e-08 -3.37452e-09 -4.91027e-08 -1.22203e-07 1.33318e-07 -5.02030e-08 -7.01126e-09 1.31406e-07 7.12318e-08

#tpc2k_z20_q2
1 20 1 20
# precision: tgt 2.00e-03 max 2.29e-02 (1145.2%) avg 2.40e-03 (120.2%)
-4.06871e+00 -2.23960e-02 1.89891e-02 1.71227e-02 -5.40771e-05 3.09833e-05 6.80529e-05 -1.40373e-05 -7.32814e-05 -1.89915e-05 -4.81302e-09 -2.82620e-08 1.32834e-07 -1.22536e-10 -8.76749e-08 -3.07871e-08 -1.04379e-08 4.13721e-08 6.56223e-08 2.64047e-09
# precision: tgt 2.00e-03 max 2.46e-02 (1228.3%) avg 2.49e-03 (124.7%)
1.00424e+01 1.82987e-02 -2.62005e-02 -5.42962e-02 1.39156e-05 -3.00244e-05 -7.05648e-05 5.56914e-05 8.38053e-05 9.60282e-05 -1.00608e-08 4.07430e-10 -4.09831e-08 -2.92937e-08 8.61950e-08 6.29539e-08 -4.75261e-09 -1.36616e-07 -4.69063e-08 -5.58266e-08
# precision: tgt 2.00e-03 max 4.69e-02 (2344.4%) avg 4.15e-03 (207.3%)
-1.01974e+01 -1.21519e-02 1.15983e-02 7.62454e-02 2.43190e-05 -7.29751e-05 8.84494e-05 2.61417e-05 -8.69665e-05 -1.49318e-04 4.82988e-08 -4.98808e-08 -5.15054e-09 4.93835e-08 1.25252e-07 -1.26845e-07 -4.99875e-08 -8.01108e-09 1.26018e-07 8.81146e-08

#tpc2k_z20_q3
1 20 2 20
# precision: tgt 2.00e-03 max 2.20e-02 (1098.6%) avg 2.34e-03 (117.2%)
-5.17324e-01 -1.91496e-02 -1.55939e-02 -4.95263e-03 -5.22232e-05 -2.72957e-05 5.54318e-05 -1.25660e-05 5.99409e-05 2.68298e-05 -5.08941e-09 2.83894e-08 1.28387e-07 -5.02105e-10 7.91155e-08 -1.88720e-08 9.51530e-09 3.71866e-08 -5.29633e-08 -2.91584e-08
# precision: tgt 2.00e-03 max 2.37e-02 (1186.2%) avg 2.33e-03 (116.3%)
6.97178e-02 -1.43427e-02 -1.48030e-02 -7.16957e-03 -1.27246e-05 -2.78340e-05 5.45311e-05 -5.07176e-05 3.75457e-05 2.84253e-05 9.83516e-09 -1.60673e-09 3.75862e-08 2.67177e-08 7.89311e-08 -4.72464e-08 -3.97010e-09 1.25889e-07 -6.10664e-10 -2.81804e-08
# precision: tgt 2.00e-03 max 4.38e-02 (2190.4%) avg 3.97e-03 (198.7%)
-5.17257e+00 -1.65655e-02 -1.37800e-02 4.21777e-02 2.15000e-05 6.78493e-05 1.04669e-04 2.18350e-05 9.28691e-05 -7.32173e-05 4.73572e-08 4.67638e-08 -2.07710e-10 4.58378e-08 -1.16982e-07 -1.41732e-07 4.72887e-08 -1.40866e-09 -1.29462e-07 3.19848e-08

#tpc2k_z20_q4
1 20 3 20
# precision: tgt 2.00e-03 max 2.14e-02 (1069.4%) avg 2.29e-03 (114.6%)
1.95938e+00 -1.73868e-02 1.40914e-02 -5.15376e-03 5.20328e-05 -2.72992e-05 4.80957e-05 1.23640e-05 -5.36841e-05 -3.52326e-06 -5.31821e-09 -2.82128e-08 -1.27576e-07 -2.24977e-10 7.91068e-08 -1.13872e-08 -9.98393e-09 -3.71175e-08 4.64324e-08 1.14052e-08
# precision: tgt 2.00e-03 max 2.43e-02 (1213.0%) avg 2.30e-03 (115.1%)
1.09327e+00 1.53106e-02 -1.48077e-02 -1.37427e-02 -1.25639e-05 2.70454e-05 -5.88763e-05 -5.02824e-05 3.78936e-05 4.25473e-05 -9.98949e-09 -6.92555e-11 3.77205e-08 -2.80105e-08 -7.85992e-08 5.18504e-08 -3.25428e-09 1.25783e-07 -1.01734e-09 -3.82903e-08
# precision: tgt 2.00e-03 max 4.11e-02 (2052.8%) avg 3.90e-03 (194.8%)
-7.86570e+00 1.66258e-02 -1.34510e-02 5.92829e-02 2.15582e-05 -6.79963e-05 -1.04928e-04 2.27176e-05 9.19244e-05 -1.09397e-04 -4.61679e-08 4.62290e-08 -1.42759e-09 -4.52281e-08 1.17917e-07 1.42274e-07 4.72608e-08 -3.56028e-09 -1.29129e-07 5.74348e-08

#tpc2k_z21_q1
1 21 0 20
# precision: tgt 2.00e-03 max 7.44e-02 (3721.1%) avg 8.18e-03 (408.8%)
-4.93182e+00 -6.16814e-02 -6.51132e-02 5.46195e-02 1.84772e-04 1.55505e-04 1.38006e-04 7.46281e-05 2.01307e-04 -1.46115e-04 -3.20635e-08 3.86192e-08 -3.74895e-07 -1.01039e-08 -3.34800e-07 -1.79061e-08 2.22443e-08 -1.67472e-07 -1.37344e-07 1.12893e-07
# precision: tgt 2.00e-03 max 9.13e-02 (4564.5%) avg 9.20e-03 (459.8%)
1.86462e+00 -6.19102e-02 -7.29331e-02 1.68332e-02 7.78775e-05 1.46784e-04 1.89507e-04 2.06091e-04 1.76073e-04 -7.61574e-05 1.94124e-08 -1.07560e-08 -1.72000e-07 4.44638e-08 -3.19775e-07 -1.26680e-07 -4.06548e-08 -4.12824e-07 -4.96100e-08 6.97892e-08
# precision: tgt 2.00e-03 max 1.68e-01 (8399.3%) avg 1.47e-02 (733.4%)
-3.86267e+01 9.04307e-02 1.01472e-01 2.02358e-01 5.66805e-05 2.00455e-04 -4.36704e-04 6.00898e-05 -4.81095e-04 -3.06364e-04 -1.46974e-07 -2.05017e-07 3.10949e-08 -2.03449e-07 -2.43602e-07 4.75885e-07 -1.56429e-07 2.99813e-08 5.19740e-07 1.29273e-07

#tpc2k_z21_q2
1 21 1 20
# precision: tgt 2.00e-03 max 7.00e-02 (3498.4%) avg 8.34e-03 (417.0%)
1.24330e+00 -5.89052e-02 6.45840e-02 -3.29053e-02 -1.84096e-04 1.54109e-04 1.28034e-04 -7.39564e-05 -2.00126e-04 1.03669e-04 -3.49551e-08 -3.98630e-08 3.71919e-07 -1.08879e-08 -3.32176e-07 -9.33370e-09 -2.16130e-08 1.65536e-07 1.37242e-07 -8.54088e-08
# precision: tgt 2.00e-03 max 8.87e-02 (4433.1%) avg 9.20e-03 (460.0%)
3.88048e+00 6.33217e-02 -7.17296e-02 5.27980e-03 7.74028e-05 -1.48401e-04 -1.94779e-04 2.06013e-04 1.71163e-04 -5.40057e-05 -2.02447e-08 -8.35199e-09 -1.72072e-07 -4.79787e-08 3.25438e-07 1.31191e-07 -4.12031e-08 -4.12989e-07 -4.43044e-08 5.55324e-08
# precision: tgt 2.00e-03 max 1.58e-01 (7875.6%) avg 1.50e-02 (748.1%)
-3.61706e+01 -9.23579e-02 9.46976e-02 1.89404e-01 5.68381e-05 -2.04603e-04 4.44925e-04 6.56733e-05 -4.57991e-04 -2.83471e-04 1.45784e-07 -2.04446e-07 2.97387e-08 2.02235e-07 2.52940e-07 -4.85014e-07 -1.56145e-07 1.85244e-08 5.00733e-07 1.15635e-07

#tpc2k_z21_q3
1 21 2 20
# precision: tgt 2.00e-03 max 6.18e-02 (3090.7%) avg 7.51e-03 (375.6%)
5.56882e+00 -4.05339e-02 -4.90301e-02 -5.16633e-02 -1.58536e-04 -1.00925e-04 7.62629e-05 -5.33165e-05 1.57168e-04 1.30854e-04 -3.13335e-08 5.68377e-08 3.26930e-07 5.14248e-09 2.40497e-07 2.37864e-08 2.38133e-08 1.29080e-07 -1.10792e-07 -9.89179e-08
# precision: tgt 2.00e-03 max 7.06e-02 (3532.3%) avg 7.60e-03 (380.0%)
9.67155e-01 -4.89985e-02 -4.40855e-02 -2.56711e-02 -5.31528e-05 -1.06458e-04 1.56416e-04 -1.54120e-04 8.98412e-05 8.18253e-05 2.34047e-08 5.67949e-09 1.28679e-07 5.40197e-08 2.50525e-07 -1.09463e-07 -2.43756e-08 3.22346e-07 1.13428e-08 -6.79939e-08
# precision: tgt 2.00e-03 max 1.25e-01 (6247.5%) avg 1.35e-02 (674.7%)
-1.79979e+01 -6.75190e-02 -5.77024e-02 9.55955e-02 5.34687e-05 2.03284e-04 3.47019e-04 6.65881e-05 3.13326e-04 -1.24681e-04 1.39437e-07 1.80936e-07 2.84397e-08 1.80706e-07 -2.67876e-07 -3.91469e-07 1.41185e-07 3.39514e-09 -3.63111e-07 2.75992e-08

#tpc2k_z21_q4
1 21 3 20
# precision: tgt 2.00e-03 max 7.00e-02 (3500.6%) avg 7.51e-03 (375.7%)
-8.73738e-01 -4.11111e-02 4.73397e-02 2.46036e-02 1.60690e-04 -1.01802e-04 7.74537e-05 5.21442e-05 -1.51199e-04 -7.89203e-05 -3.11361e-08 -5.91408e-08 -3.31489e-07 8.37934e-09 2.44621e-07 2.39308e-08 -2.40854e-08 -1.27635e-07 1.05167e-07 6.56472e-08
# precision: tgt 2.00e-03 max 6.61e-02 (3306.5%) avg 7.52e-03 (375.9%)
-1.59594e+00 4.79315e-02 -4.55290e-02 -1.08991e-02 -5.38867e-05 1.07010e-04 -1.51698e-04 -1.53359e-04 9.56030e-05 5.33748e-05 -2.30977e-08 6.66047e-09 1.30095e-07 -5.48753e-08 -2.52216e-07 1.04288e-07 -2.34582e-08 3.21582e-07 5.75532e-09 -4.96735e-08
# precision: tgt 2.00e-03 max 1.25e-01 (6264.0%) avg 1.34e-02 (669.9%)
-2.57326e+01 6.62425e-02 -5.62478e-02 1.40250e-01 5.42651e-05 -2.03931e-04 -3.42591e-04 6.61525e-05 3.07581e-04 -2.10570e-04 -1.38760e-07 1.80932e-07 2.62990e-08 -1.78699e-07 2.69930e-07 3.87836e-07 1.39797e-07 2.86801e-09 -3.57825e-07 8.26059e-08

#tpc2k_z3_q1
1 3 0 20
# precision: tgt 2.00e-03 max 3.64e-03 (182.1%) avg 6.29e-04 (31.4%)
5.78228e-02 2.18668e-03 1.88869e-03 1.35370e-03 -5.49399e-06 -6.28259e-07 1.09045e-05 -7.79588e-07 1.07877e-05 6.83440e-06 -7.93228e-10 -6.61373e-09 -2.08154e-08 8.78099e-11 -7.48648e-09 7.89607e-09 -2.07598e-09 -4.57055e-09 1.41850e-08 9.30516e-09
# precision: tgt 2.00e-03 max 4.62e-03 (231.0%) avg 6.47e-04 (32.4%)
1.68773e-01 1.42091e-03 1.93703e-03 2.23564e-03 1.97570e-08 -1.51827e-06 8.59072e-06 -5.10499e-06 8.99680e-06 8.59676e-06 -1.77693e-09 -1.80166e-10 -2.35688e-09 -6.85934e-09 -9.59086e-09 1.17755e-08 -7.93093e-10 -1.99030e-08 4.78820e-09 1.01152e-08
# precision: tgt 2.00e-03 max 7.98e-03 (398.8%) avg 8.52e-04 (42.6%)
1.54285e+00 -2.26898e-04 2.39520e-04 -4.12940e-03 6.47467e-06 1.08578e-05 7.23840e-06 5.20031e-06 7.82464e-06 -1.02987e-05 -6.95502e-09 -5.19876e-09 8.51535e-09 -4.27053e-09 2.79636e-08 2.04477e-08 -7.92496e-09 4.91120e-09 1.92251e-08 -5.38106e-09

#tpc2k_z3_q2
1 3 1 20
# precision: tgt 2.00e-03 max 4.48e-03 (224.0%) avg 6.26e-04 (31.3%)
4.99947e-02 2.05157e-03 -1.73451e-03 -8.44225e-04 6.03009e-06 -2.21050e-06 7.59945e-06 -8.77915e-08 -9.67786e-06 -5.20860e-06 -2.43171e-09 8.77021e-09 2.46637e-08 -1.47955e-09 -1.32388e-08 -2.28995e-10 2.95905e-09 3.56565e-09 -1.19959e-08 -6.91089e-09
# precision: tgt 2.00e-03 max 4.61e-03 (230.7%) avg 6.72e-04 (33.6%)
2.57501e-02 -1.94535e-03 2.53895e-03 1.51730e-03 -6.53501e-07 8.44595e-07 -1.08535e-05 -6.05930e-06 1.14038e-05 7.69897e-06 2.16884e-09 -5.46273e-10 -4.66128e-09 8.03526e-09 9.20742e-09 -1.38149e-08 -1.82223e-09 -2.36513e-08 6.49453e-09 1.00656e-08
# precision: tgt 2.00e-03 max 7.88e-03 (394.0%) avg 8.07e-04 (40.4%)
1.57998e+00 -1.45172e-03 9.68304e-04 -3.35643e-03 2.37698e-06 -9.34708e-06 -1.24766e-05 4.79523e-06 1.19284e-05 -6.82303e-06 7.25310e-09 -3.48604e-09 -1.13460e-09 3.64118e-09 -2.56130e-08 -2.41291e-08 -7.12413e-09 4.97714e-09 2.54746e-08 -8.45032e-10

#tpc2k_z3_q3
1 3 2 20
# precision: tgt 2.00e-03 max 4.83e-03 (241.3%) avg 6.16e-04 (30.8%)
-2.34535e-01 1.96529e-03 1.62607e-03 -3.04555e-03 6.13588e-06 2.75196e-06 7.04138e-06 2.91884e-07 8.77701e-06 -1.08447e-05 -1.29428e-09 -7.11700e-09 2.35110e-08 -4.00128e-10 1.30891e-08 -5.76458e-10 -2.27545e-09 3.75616e-09 1.07342e-08 -1.17441e-08
# precision: tgt 2.00e-03 max 5.16e-03 (257.8%) avg 6.13e-04 (30.7%)
-6.76133e-02 1.90245e-03 2.12192e-03 -1.64145e-03 7.58021e-07 9.61497e-07 1.04454e-05 5.92382e-06 9.10976e-06 -7.63549e-06 -2.54210e-09 -1.56825e-09 5.48487e-09 -8.17835e-09 1.02316e-08 1.27184e-08 -1.48566e-09 2.35197e-08 3.08967e-09 -9.63697e-09
# precision: tgt 2.00e-03 max 8.62e-03 (431.1%) avg 8.38e-04 (41.9%)
1.54873e+00 -1.86128e-03 -1.52809e-03 -3.36751e-03 1.47701e-06 8.25096e-06 -1.40349e-05 3.34750e-06 -1.42986e-05 -6.32168e-06 6.70895e-09 2.21176e-09 -2.93218e-09 3.07202e-09 2.34036e-08 -2.55864e-08 7.13233e-09 9.63765e-10 -2.77687e-08 -4.71452e-12

#tpc2k_z3_q4
1 3 3 20
# precision: tgt 2.00e-03 max 4.32e-03 (216.0%) avg 6.61e-04 (33.1%)
5.00992e-02 2.21727e-03 -1.76939e-03 1.32711e-03 -6.24532e-06 8.23650e-07 1.05624e-05 -8.96099e-07 -1.00781e-05 6.80128e-06 -2.67480e-10 6.73326e-09 -2.23474e-08 2.82453e-10 7.80962e-09 6.89351e-09 1.90746e-09 -4.76928e-09 -1.31643e-08 9.27263e-09
# precision: tgt 2.00e-03 max 4.70e-03 (234.8%) avg 6.39e-04 (32.0%)
-4.12150e-02 -1.53225e-03 1.81382e-03 -1.18286e-03 2.13844e-07 -2.82400e-06 -8.68314e-06 5.97281e-06 7.30279e-06 -5.68710e-06 2.11785e-09 -2.15697e-10 3.42985e-09 6.22224e-09 -1.29253e-08 -1.10029e-08 -4.04625e-10 2.20837e-08 1.13552e-09 -7.29267e-09
# precision: tgt 2.00e-03 max 8.58e-03 (429.2%) avg 8.17e-04 (40.8%)
1.50590e+00 4.75079e-04 -9.86756e-04 -4.03133e-03 5.79475e-06 -9.67557e-06 1.05037e-05 3.76971e-06 -1.12402e-05 -9.06243e-06 -7.00501e-09 4.05133e-09 6.74948e-09 -3.65841e-09 -2.54602e-08 2.42390e-08 7.16294e-09 1.81429e-09 -2.32265e-08 -3.45989e-09

#tpc2k_z4_q1
1 4 0 20
# precision: tgt 2.00e-03 max 2.55e-03 (127.7%) avg 3.49e-04 (17.5%)
6.37423e-01 1.76704e-03 3.44185e-04 6.74481e-03 -2.56148e-06 -9.15849e-07 9.90894e-06 8.22445e-08 2.38187e-06 2.35684e-05 7.30202e-10 -2.94291e-09 -9.81884e-09 6.49191e-10 -5.59016e-09 9.68157e-09 -8.41695e-10 -6.77179e-10 3.52706e-09 2.67848e-08
# precision: tgt 2.00e-03 max 2.99e-03 (149.3%) avg 3.28e-04 (16.4%)
-1.10148e+00 1.60914e-04 8.23806e-04 -1.00268e-02 4.76188e-08 4.56933e-08 1.47230e-06 -1.97084e-06 4.88408e-06 -3.02538e-05 -1.33510e-09 -2.44172e-10 -1.90201e-09 -3.69863e-09 -3.13494e-09 2.03358e-09 -6.27502e-10 -9.95817e-09 2.74521e-09 -3.03288e-08
# precision: tgt 2.00e-03 max 4.41e-03 (220.6%) avg 4.41e-04 (22.0%)
-1.04609e+00 4.33002e-04 3.11279e-05 -2.90251e-02 1.54666e-06 4.11025e-06 5.59813e-06 2.15739e-06 3.29726e-06 -9.03348e-05 -3.59924e-09 -3.38949e-09 -1.64956e-09 -2.17631e-09 1.11590e-08 1.18074e-08 -3.96500e-09 9.53801e-10 9.72640e-09 -9.09720e-08

#tpc2k_z4_q2
1 4 1 20
# precision: tgt 2.00e-03 max 3.17e-03 (158.6%) avg 3.05e-04 (15.2%)
6.76986e-01 9.78690e-05 -1.56440e-04 6.35170e-03 1.45163e-06 9.71527e-08 8.39194e-07 -5.27432e-09 -1.49274e-06 1.96575e-05 -1.41341e-09 3.39536e-09 9.23364e-09 -2.52523e-10 -2.69165e-09 -2.31522e-09 1.02780e-09 1.56558e-09 -2.56653e-09 1.98146e-08
# precision: tgt 2.00e-03 max 3.72e-03 (185.9%) avg 3.37e-04 (16.8%)
-3.77824e-02 -8.14031e-04 1.27203e-03 3.29591e-04 -1.92018e-07 4.11480e-07 -5.28466e-06 -1.75233e-06 7.70667e-06 3.21003e-06 7.93862e-10 3.11873e-10 -1.60461e-09 3.27152e-09 4.32299e-09 -8.14260e-09 -4.72599e-10 -8.68159e-09 7.66237e-09 5.67090e-09
# precision: tgt 2.00e-03 max 3.09e-03 (154.6%) avg 3.70e-04 (18.5%)
1.76044e+00 2.70017e-04 2.65884e-04 -2.75896e-03 2.57553e-06 -4.16517e-06 -1.40517e-06 2.20558e-06 4.58120e-06 -8.58464e-06 3.43780e-09 -1.72111e-09 3.93037e-09 2.58652e-09 -1.26549e-08 -8.13602e-09 -3.42856e-09 1.77758e-09 1.16773e-08 -6.32839e-09

#tpc2k_z4_q3
1 4 2 20
# precision: tgt 2.00e-03 max 2.43e-03 (121.3%) avg 2.65e-04 (13.3%)
1.12589e+00 1.43887e-04 4.11743e-04 1.04978e-02 1.68084e-06 1.35072e-07 8.77937e-07 1.39868e-07 2.88033e-06 3.24709e-05 -1.26226e-09 -2.97889e-09 9.71833e-09 -6.97955e-11 2.87548e-09 -2.54763e-09 -1.01584e-09 2.00968e-09 4.45553e-09 3.30576e-08
# precision: tgt 2.00e-03 max 3.06e-03 (152.8%) avg 3.00e-04 (15.0%)
-3.42442e-01 6.79108e-04 8.06013e-04 -3.66609e-03 1.18961e-07 4.78615e-07 4.44811e-06 2.27952e-06 4.40875e-06 -1.30343e-05 -7.63905e-10 -1.08125e-10 1.34848e-09 -3.06570e-09 4.68484e-09 6.80569e-09 -3.43122e-10 1.04313e-08 1.91168e-09 -1.51916e-08
# precision: tgt 2.00e-03 max 3.17e-03 (158.4%) avg 3.80e-04 (19.0%)
1.62163e+00 3.59528e-04 -3.79136e-04 -4.05399e-03 2.39645e-06 3.80292e-06 -6.47068e-07 1.84970e-06 -5.10574e-06 -1.26733e-05 3.43277e-09 1.37467e-09 3.40150e-09 2.47826e-09 1.16730e-08 -6.68586e-09 3.49183e-09 6.83507e-10 -1.21493e-08 -1.06821e-08

#tpc2k_z4_q4
1 4 3 20
# precision: tgt 2.00e-03 max 3.39e-03 (169.3%) avg 3.37e-04 (16.8%)
3.99304e-02 1.88587e-03 -9.59605e-04 1.33083e-03 -2.43910e-06 8.09005e-07 1.07413e-05 -2.13081e-07 -6.05645e-06 7.24367e-06 6.85576e-10 3.04799e-09 -9.53848e-09 2.94195e-10 5.41710e-09 1.10313e-08 8.13723e-10 -1.69115e-09 -8.86631e-09 1.03848e-08
# precision: tgt 2.00e-03 max 3.29e-03 (164.4%) avg 3.16e-04 (15.8%)
6.17510e-01 -6.21146e-04 4.71896e-04 5.48013e-03 2.17227e-07 -3.41528e-07 -4.12889e-06 2.28625e-06 2.39694e-06 1.59149e-05 1.13121e-09 -1.59858e-11 2.34719e-09 2.89831e-09 -3.72986e-09 -5.96180e-09 -3.29793e-10 1.07291e-08 -1.39245e-09 1.53144e-08
# precision: tgt 2.00e-03 max 4.17e-03 (208.4%) avg 4.45e-04 (22.2%)
-1.28005e+00 5.70148e-04 -3.15187e-04 -3.10507e-02 1.46654e-06 -3.82881e-06 6.34685e-06 2.00011e-06 -5.03378e-06 -9.61783e-05 -3.58923e-09 3.01985e-09 -1.85838e-09 -2.33500e-09 -1.02813e-08 1.28310e-08 4.11919e-09 3.33504e-10 -1.22482e-08 -9.65901e-08

#tpc2k_z5_q1
1 5 0 20
# precision: tgt 2.00e-03 max 2.38e-03 (119.1%) avg 2.35e-04 (11.7%)
2.25601e-01 3.14623e-04 3.15488e-04 2.65406e-03 -1.36692e-06 -8.28804e-07 1.55471e-06 -1.53676e-07 2.05891e-06 1.02651e-05 5.96200e-10 -1.52573e-09 -5.60512e-09 2.67380e-10 -4.59225e-09 -1.83901e-09 -5.45261e-10 -1.25907e-09 2.89526e-09 1.26668e-08
# precision: tgt 2.00e-03 max 2.43e-03 (121.5%) avg 2.08e-04 (10.4%)
5.37386e-02 1.85323e-04 1.78436e-04 7.65835e-04 2.11354e-07 3.38454e-08 1.76640e-06 -7.22317e-07 1.56460e-06 3.49615e-06 -6.21232e-10 5.22771e-10 -2.15958e-10 -1.27656e-09 -8.32693e-10 3.50887e-09 -6.39771e-11 -4.35753e-09 -2.30821e-10 5.21438e-09
# precision: tgt 2.00e-03 max 1.81e-03 (90.4%) avg 2.47e-04 (12.3%)
2.10800e+00 8.25253e-05 2.10326e-04 7.86970e-04 8.65851e-07 1.80563e-06 2.09122e-06 1.06327e-06 2.96508e-06 3.19128e-06 -1.69628e-09 -1.72586e-09 -1.08002e-09 -1.30633e-09 5.33884e-09 5.29958e-09 -1.85823e-09 8.20252e-11 7.84219e-09 6.57769e-09

#tpc2k_z5_q2
1 5 1 20
# precision: tgt 2.00e-03 max 1.21e-03 (60.5%) avg 1.86e-04 (9.3%)
-7.79659e-02 3.62638e-04 -9.65272e-05 -1.01877e-03 4.52317e-07 1.82941e-07 3.25085e-06 -2.29281e-07 -1.16570e-06 -4.43631e-06 -8.76227e-10 2.08733e-09 4.85953e-09 -6.58023e-10 -1.75290e-09 3.30215e-09 7.74863e-10 6.40296e-10 -2.27374e-09 -6.63505e-09
# precision: tgt 2.00e-03 max 2.06e-03 (103.0%) avg 1.81e-04 (9.0%)
-4.50821e-02 -2.25563e-04 2.51155e-04 -3.13008e-04 1.23623e-08 4.13979e-07 -1.75836e-06 -7.59135e-07 1.90643e-06 -5.34275e-07 2.68455e-10 8.87947e-10 -1.61928e-10 8.86965e-10 2.25034e-09 -3.44785e-09 -2.60274e-11 -4.12019e-09 4.45454e-10 1.83186e-10
# precision: tgt 2.00e-03 max 1.98e-03 (99.1%) avg 2.03e-04 (10.1%)
2.20932e+00 -9.45214e-05 2.14870e-05 1.78221e-03 1.34945e-06 -1.56822e-06 -2.12881e-06 1.15069e-06 1.48867e-06 6.32001e-06 1.53404e-09 -5.74090e-10 2.47121e-09 8.72114e-10 -6.10756e-09 -7.72205e-09 -1.50182e-09 1.09522e-09 5.38408e-09 9.75487e-09

#tpc2k_z5_q3
1 5 2 20
# precision: tgt 2.00e-03 max 1.18e-03 (59.0%) avg 1.63e-04 (8.1%)
-3.06971e-02 3.20673e-04 1.08845e-04 -5.16045e-04 4.85781e-07 -2.15488e-07 2.90456e-06 -1.01932e-07 1.15321e-06 -2.64787e-06 -8.47389e-10 -1.75043e-09 4.87441e-09 -4.45481e-10 1.10918e-09 2.67813e-09 -6.89030e-10 9.36661e-10 2.20583e-09 -4.52400e-09
# precision: tgt 2.00e-03 max 1.05e-03 (52.5%) avg 1.83e-04 (9.1%)
-1.35478e-01 2.24507e-05 3.37259e-04 -1.57846e-03 -1.31569e-07 -2.38362e-07 5.28632e-07 6.76347e-07 2.86427e-06 -6.33847e-06 -4.96942e-10 -3.78619e-10 3.36221e-10 -1.55534e-09 1.40352e-09 1.15875e-09 -3.29015e-10 4.66929e-09 2.28127e-09 -8.44527e-09
# precision: tgt 2.00e-03 max 1.71e-03 (85.3%) avg 1.84e-04 (9.2%)
2.13830e+00 -8.59243e-05 -7.04844e-05 1.03401e-03 1.32024e-06 1.46047e-06 -1.99642e-06 9.98687e-07 -1.84408e-06 3.66310e-06 1.69258e-09 4.93654e-10 2.13512e-09 1.07483e-09 5.49235e-09 -7.25600e-09 1.55688e-09 5.44223e-10 -5.84531e-09 6.56457e-09

#tpc2k_z5_q4
1 5 3 20
# precision: tgt 2.00e-03 max 1.28e-03 (64.1%) avg 2.09e-04 (10.5%)
1.04374e-01 1.07489e-04 -1.37077e-04 1.20964e-03 -9.94340e-07 1.33135e-07 6.33065e-07 -1.32609e-08 -1.17424e-06 4.77837e-06 5.10595e-10 1.30770e-09 -4.38429e-09 2.73188e-10 1.89468e-09 -2.55358e-09 3.37385e-10 -4.74916e-10 -2.07055e-09 5.96765e-09
# precision: tgt 2.00e-03 max 1.10e-03 (54.9%) avg 1.65e-04 (8.3%)
-2.18403e-01 -8.54942e-05 3.84947e-04 -2.54410e-03 3.44497e-08 -4.88323e-08 -7.74768e-07 9.87706e-07 2.88160e-06 -9.99649e-06 4.97468e-10 -5.51750e-11 9.81715e-10 1.21471e-09 -1.49898e-09 -1.15202e-09 -8.61822e-11 5.54207e-09 1.77626e-09 -1.29652e-08
# precision: tgt 2.00e-03 max 1.99e-03 (99.4%) avg 2.30e-04 (11.5%)
2.22904e+00 1.56788e-04 -1.49808e-04 2.10639e-03 7.20422e-07 -1.61539e-06 2.49078e-06 1.14913e-06 -2.71784e-06 7.95849e-06 -1.66785e-09 1.39505e-09 -1.52660e-09 -1.16402e-09 -4.90401e-09 5.84586e-09 1.97427e-09 3.81139e-10 -7.61684e-09 1.23037e-08

#tpc2k_z6_q1
1 6 0 20
# precision: tgt 2.00e-03 max 7.18e-04 (35.9%) avg 1.19e-04 (5.9%)
-2.83466e-03 2.82478e-05 4.06936e-05 -2.42558e-05 -1.06359e-07 -4.46559e-09 8.02646e-07 -7.21884e-08 4.01098e-07 1.36483e-07 -1.13859e-11 -8.45826e-10 -1.39956e-09 1.38699e-11 -1.43191e-09 -8.03049e-10 -6.20273e-12 -4.63781e-10 5.54370e-10 2.37053e-10
# precision: tgt 2.00e-03 max 8.01e-04 (40.1%) avg 1.16e-04 (5.8%)
1.15606e-03 5.57731e-06 2.47818e-05 3.48424e-05 1.86586e-07 1.78256e-07 4.08179e-07 -1.63119e-07 9.00763e-07 2.97713e-07 -5.01452e-10 -2.92333e-10 -3.49938e-10 -7.95679e-10 -4.58708e-10 8.81718e-10 -4.78610e-11 -1.88414e-09 -3.44340e-10 7.36280e-10
# precision: tgt 2.00e-03 max 1.13e-03 (56.3%) avg 1.35e-04 (6.7%)
2.04301e+00 -3.94495e-05 -4.03194e-05 -6.75338e-05 6.26005e-07 7.64661e-07 5.73196e-07 7.26197e-07 3.80132e-07 -7.36873e-07 -9.79260e-10 -1.30641e-09 -9.08667e-10 -7.33463e-10 1.94262e-09 1.70855e-09 -1.08595e-09 -1.23152e-10 1.96587e-09 4.39842e-10

#tpc2k_z6_q2
1 6 1 20
# precision: tgt 2.00e-03 max 1.12e-03 (55.8%) avg 1.61e-04 (8.1%)
7.23598e-03 9.47071e-06 2.79304e-05 1.09047e-04 -1.37231e-07 5.06407e-07 1.08986e-06 -3.76734e-07 -3.90141e-07 3.85786e-07 -6.41854e-10 1.58942e-09 1.96783e-09 -8.90087e-10 -3.44088e-10 5.49036e-10 8.55357e-10 2.35446e-10 -1.05011e-09 6.87464e-11
# precision: tgt 2.00e-03 max 9.87e-04 (49.3%) avg 1.32e-04 (6.6%)
-5.15492e-03 -3.05116e-05 7.38941e-05 -1.36013e-05 1.46806e-07 1.38102e-08 -4.93399e-07 -2.82132e-07 1.10661e-06 1.40433e-07 4.99864e-10 -3.18413e-11 -2.18631e-10 5.14328e-10 1.17848e-09 -1.12244e-09 1.60762e-10 -1.79799e-09 1.35541e-10 5.78786e-10
# precision: tgt 2.00e-03 max 7.08e-04 (35.4%) avg 1.13e-04 (5.6%)
2.04593e+00 6.09726e-05 -4.75383e-05 -4.03563e-05 7.02625e-07 -6.27590e-07 6.45871e-09 7.07797e-07 1.45515e-07 -7.78521e-07 7.23405e-10 -5.64178e-10 1.01834e-09 7.55099e-10 -2.48883e-09 -2.09849e-09 -1.03282e-09 1.16660e-10 1.49212e-09 1.40144e-10

#tpc2k_z6_q3
1 6 2 20
# precision: tgt 2.00e-03 max 1.05e-03 (52.4%) avg 1.23e-04 (6.1%)
-1.46368e-03 1.00965e-05 -3.44324e-05 -6.04398e-06 -1.66025e-07 -5.08861e-07 1.11049e-06 -3.87618e-07 3.48280e-07 -1.31520e-07 -8.95872e-10 -1.50497e-09 2.24623e-09 -1.09184e-09 3.71795e-10 3.99958e-10 -7.56085e-10 1.91556e-10 9.51733e-10 -6.78099e-10
# precision: tgt 2.00e-03 max 1.13e-03 (56.7%) avg 1.51e-04 (7.6%)
1.05795e-02 4.59122e-05 6.67492e-05 1.21219e-04 -4.51560e-09 8.64470e-10 5.28836e-07 2.08680e-07 1.14633e-06 2.34858e-07 -8.97095e-11 -6.00942e-11 3.14112e-10 -5.22978e-10 1.24765e-09 1.06307e-09 8.00003e-12 1.99963e-09 2.32916e-10 -5.11687e-11
# precision: tgt 2.00e-03 max 6.71e-04 (33.5%) avg 1.08e-04 (5.4%)
2.04247e+00 5.09848e-05 5.87358e-05 -8.16581e-05 8.26230e-07 5.92161e-07 -1.81346e-07 6.23946e-07 -1.91247e-07 -9.30430e-07 1.16088e-09 4.86209e-10 9.30207e-10 6.03525e-10 2.36555e-09 -2.50137e-09 7.71287e-10 2.71536e-10 -1.79467e-09 -2.91616e-11

#tpc2k_z6_q4
1 6 3 20
# precision: tgt 2.00e-03 max 7.25e-04 (36.2%) avg 1.25e-04 (6.2%)
1.05411e-03 4.87726e-05 -4.38202e-05 4.16380e-05 -2.00617e-07 5.81710e-08 8.95115e-07 -1.03849e-07 -3.86266e-07 4.70562e-07 1.84378e-10 7.55890e-10 -1.52510e-09 9.33291e-11 1.39858e-09 -6.64678e-10 2.31139e-11 -5.50692e-10 -4.29676e-10 7.80111e-10
# precision: tgt 2.00e-03 max 1.05e-03 (52.3%) avg 1.47e-04 (7.3%)
1.46072e-03 -4.48884e-06 2.79966e-05 2.95669e-05 -1.22224e-07 1.61119e-07 -3.74030e-07 1.28366e-07 9.42940e-07 -9.65441e-08 3.07744e-10 -3.02479e-10 3.48547e-10 8.32711e-10 -6.08846e-10 -7.05853e-10 -2.20137e-10 2.22877e-09 -3.59128e-10 -4.08404e-10
# precision: tgt 2.00e-03 max 1.03e-03 (51.3%) avg 1.28e-04 (6.4%)
2.04870e+00 -5.63105e-05 6.42046e-05 -3.90590e-07 6.72010e-07 -8.69154e-07 5.17255e-07 7.48209e-07 -4.47006e-07 -4.38470e-07 -9.76486e-10 1.48539e-09 -8.26004e-10 -1.10805e-09 -1.81177e-09 1.59667e-09 1.16079e-09 -1.96280e-10 -2.20451e-09 8.75342e-10

#tpc2k_z7_q1
1 7 0 20
# precision: tgt 2.00e-03 max 5.25e-04 (26.3%) avg 6.78e-05 (3.4%)
-1.99391e-03 9.35354e-06 1.64801e-05 -3.46540e-05 -1.94665e-08 3.96850e-08 7.28959e-07 -2.74939e-08 2.45787e-07 1.57182e-08 -7.23801e-11 -5.63663e-10 -9.38773e-10 -1.05928e-10 -1.02767e-09 -6.08315e-10 -1.36343e-11 -3.10656e-10 3.71658e-10 1.68273e-11
# precision: tgt 2.00e-03 max 4.38e-04 (21.9%) avg 7.46e-05 (3.7%)
-2.47606e-03 1.55159e-05 2.64369e-05 -1.15361e-05 1.32993e-08 -5.18332e-08 2.28371e-07 -1.63311e-07 8.11576e-07 1.46307e-08 -1.37647e-10 9.60332e-11 -3.72048e-10 -1.11716e-10 -4.20696e-10 4.46227e-10 1.64353e-10 -1.16768e-09 -1.35283e-10 2.42544e-10
# precision: tgt 2.00e-03 max 9.24e-04 (46.2%) avg 1.11e-04 (5.6%)
2.04296e+00 -1.77305e-05 -2.36313e-06 -4.11979e-05 4.84307e-07 3.39895e-07 4.28490e-07 4.98378e-07 3.02443e-07 -6.69341e-07 -7.04390e-10 -9.23791e-10 -9.34979e-10 -4.85386e-10 5.19980e-10 9.74502e-10 -7.29859e-10 -4.96743e-10 1.18461e-09 2.67322e-10

#tpc2k_z7_q2
1 7 1 20
# precision: tgt 2.00e-03 max 7.86e-04 (39.3%) avg 9.12e-05 (4.6%)
2.36469e-03 1.48216e-05 6.45442e-06 3.02983e-05 -4.20293e-08 1.98182e-07 8.93288e-07 -1.76888e-07 -2.44387e-07 1.08563e-07 -2.74061e-10 7.91894e-10 1.38599e-09 -4.48186e-10 -5.02534e-10 3.55795e-10 5.14910e-10 3.91691e-10 -5.58228e-10 -2.19359e-10
# precision: tgt 2.00e-03 max 7.04e-04 (35.2%) avg 8.16e-05 (4.1%)
-2.82986e-03 -2.56991e-05 4.65579e-05 1.09474e-05 3.00501e-08 1.10060e-07 -2.84567e-07 -2.03523e-07 8.76740e-07 1.86122e-07 2.59165e-10 1.05046e-10 -2.98461e-10 6.97787e-11 1.01058e-09 -6.01340e-10 1.91027e-10 -1.12986e-09 5.19264e-12 6.00084e-10
# precision: tgt 2.00e-03 max 4.94e-04 (24.7%) avg 7.74e-05 (3.9%)
2.04644e+00 2.38470e-05 -2.35985e-05 -5.96457e-07 5.16001e-07 -3.78466e-07 -2.27154e-08 5.69682e-07 1.07315e-07 -5.69220e-07 5.67321e-10 -6.50625e-10 3.26538e-10 8.25581e-10 -1.06663e-09 -1.38522e-09 -8.18481e-10 -2.22298e-10 8.24617e-10 2.67496e-10

#tpc2k_z7_q3
1 7 2 20
# precision: tgt 2.00e-03 max 4.75e-04 (23.7%) avg 6.22e-05 (3.1%)
1.46487e-03 7.39074e-06 -8.45876e-06 2.29742e-05 -9.79795e-08 -2.08392e-07 8.81344e-07 -1.88173e-07 2.46708e-07 7.42350e-08 -4.72982e-10 -7.64069e-10 1.45998e-09 -5.99391e-10 5.00818e-10 2.65173e-10 -4.48937e-10 3.82018e-10 5.55006e-10 -2.69424e-10
# precision: tgt 2.00e-03 max 6.90e-04 (34.5%) avg 9.83e-05 (4.9%)
4.86506e-03 3.45559e-05 3.87843e-05 6.46839e-05 6.43045e-08 7.67149e-08 3.14349e-07 1.79853e-07 8.71659e-07 1.16882e-07 1.78684e-11 7.98510e-11 3.90504e-10 -6.63275e-11 9.63043e-10 5.67473e-10 1.74456e-10 1.33159e-09 1.66834e-11 -5.94079e-11
# precision: tgt 2.00e-03 max 7.93e-04 (39.6%) avg 7.92e-05 (4.0%)
2.04351e+00 1.92005e-05 3.18030e-05 -4.08628e-05 5.89459e-07 2.80892e-07 -7.93782e-08 4.41479e-07 -9.93199e-08 -7.87218e-07 9.15532e-10 4.68238e-10 2.01029e-10 5.42268e-10 8.93535e-10 -1.43816e-09 5.12423e-10 -1.41141e-10 -9.30278e-10 -1.44594e-10

#tpc2k_z7_q4
1 7 3 20
# precision: tgt 2.00e-03 max 5.19e-04 (26.0%) avg 8.53e-05 (4.3%)
-2.34975e-03 1.76399e-05 -1.13272e-05 -3.37448e-05 -7.55615e-08 -2.61547e-08 7.55673e-07 -1.59082e-08 -2.16384e-07 4.16991e-08 6.40453e-11 5.81110e-10 -1.02909e-09 -1.40075e-10 1.03498e-09 -6.29963e-10 5.00899e-11 -2.73547e-10 -2.71097e-10 7.55208e-11
# precision: tgt 2.00e-03 max 4.80e-04 (24.0%) avg 8.63e-05 (4.3%)
4.31352e-04 -1.11534e-05 2.17271e-05 1.15472e-05 1.76549e-08 -1.53909e-08 -2.15415e-07 1.13590e-07 8.23237e-07 -1.35488e-07 2.49197e-11 1.18977e-11 3.78131e-10 2.63241e-10 -5.10755e-10 -3.25569e-10 4.39589e-12 1.47070e-09 -1.81111e-10 -4.64736e-10
# precision: tgt 2.00e-03 max 6.92e-04 (34.6%) avg 1.12e-04 (5.6%)
2.04421e+00 -3.06192e-05 3.22070e-05 -3.15028e-05 4.94650e-07 -4.33111e-07 3.54401e-07 5.11212e-07 -2.99245e-07 -6.33020e-07 -6.38528e-10 1.00035e-09 -8.60796e-10 -8.66102e-10 -4.39586e-10 7.96881e-10 7.41151e-10 -5.03289e-10 -1.29929e-09 3.02984e-10

#tpc2k_z8_q1
1 8 0 20
# precision: tgt 2.00e-03 max 3.87e-04 (19.3%) avg 4.37e-05 (2.2%)
-2.33846e-04 -2.41523e-06 2.74300e-06 -1.74503e-05 3.35785e-08 7.43163e-08 6.68208e-07 2.48872e-09 1.40074e-07 6.48193e-08 -1.35632e-10 -3.85562e-10 -6.20110e-10 -1.63371e-10 -6.15833e-10 -4.14161e-10 -2.60334e-11 -1.76169e-10 2.73382e-10 1.30918e-10
# precision: tgt 2.00e-03 max 4.08e-04 (20.4%) avg 6.10e-05 (3.1%)
-2.03994e-03 1.81593e-05 1.91288e-05 -7.74924e-06 -5.75921e-08 -1.36370e-07 1.20735e-07 -1.36800e-07 7.05108e-07 -3.98482e-08 4.87293e-11 2.75871e-10 -2.81737e-10 1.71717e-10 -2.99385e-10 2.08594e-10 2.27163e-10 -6.58635e-10 -4.45400e-11 5.89920e-11
# precision: tgt 2.00e-03 max 8.46e-04 (42.3%) avg 9.85e-05 (4.9%)
2.04409e+00 -2.71427e-05 -3.57315e-06 -2.59338e-05 5.00647e-07 2.36094e-07 2.59569e-07 4.63002e-07 1.73645e-07 -6.74869e-07 -6.89166e-10 -8.31276e-10 -7.21687e-10 -4.75533e-10 -6.80726e-12 4.12606e-10 -6.23707e-10 -4.70618e-10 6.01838e-10 -4.14134e-11

#tpc2k_z8_q2
1 8 1 20
# precision: tgt 2.00e-03 max 5.95e-04 (29.8%) avg 6.48e-05 (3.2%)
9.27313e-04 5.79666e-06 2.83945e-06 7.73528e-06 -4.20243e-08 9.91488e-08 7.17811e-07 -1.00042e-07 -1.27814e-07 6.62013e-08 -1.53236e-10 4.55012e-10 8.70599e-10 -2.48198e-10 -3.65745e-10 2.35639e-10 3.30107e-10 3.27001e-10 -2.70986e-10 -1.90969e-10
# precision: tgt 2.00e-03 max 4.63e-04 (23.2%) avg 5.37e-05 (2.7%)
-2.25211e-03 -1.07687e-05 1.84657e-05 -1.90711e-06 2.46625e-08 5.80935e-08 -1.32617e-07 -7.84463e-08 7.23880e-07 2.41675e-08 1.64563e-10 3.17932e-11 -1.62783e-10 1.52111e-11 6.93969e-10 -3.26210e-10 5.51531e-11 -5.90361e-10 4.69615e-11 2.41541e-10
# precision: tgt 2.00e-03 max 5.63e-04 (28.2%) avg 6.80e-05 (3.4%)
2.04531e+00 1.72716e-05 -2.11673e-05 -1.69499e-05 4.67806e-07 -3.25506e-07 1.20040e-09 5.51948e-07 7.77644e-08 -6.97897e-07 5.33700e-10 -7.52136e-10 2.64916e-11 9.32384e-10 -4.10600e-10 -8.43706e-10 -7.69538e-10 -2.90992e-10 4.42128e-10 -2.53123e-10

#tpc2k_z8_q3
1 8 2 20
# precision: tgt 2.00e-03 max 3.07e-04 (15.3%) avg 5.00e-05 (2.5%)
5.21912e-04 -2.31177e-06 -2.50966e-06 7.13004e-06 -1.05478e-07 -9.85329e-08 7.04403e-07 -1.03759e-07 1.39159e-07 6.21387e-08 -3.30437e-10 -4.43894e-10 8.59464e-10 -3.32639e-10 3.60505e-10 1.99133e-10 -2.72304e-10 3.39429e-10 2.84144e-10 -2.11582e-10
# precision: tgt 2.00e-03 max 4.25e-04 (21.2%) avg 6.12e-05 (3.1%)
1.56677e-03 1.52857e-05 1.54484e-05 3.26644e-05 3.29012e-08 1.73784e-08 1.50905e-07 8.96094e-08 7.36371e-07 4.32650e-08 -3.98046e-12 1.03473e-11 2.78271e-10 -2.72570e-11 6.11094e-10 2.40699e-10 1.27271e-10 8.25286e-10 8.44185e-11 -7.51035e-11
# precision: tgt 2.00e-03 max 7.49e-04 (37.4%) avg 7.64e-05 (3.8%)
2.04514e+00 1.76084e-05 2.83656e-05 -9.58329e-06 5.37730e-07 2.15840e-07 1.20981e-08 4.20095e-07 -6.63126e-08 -6.45928e-07 8.35782e-10 5.71299e-10 -1.70039e-11 5.59761e-10 2.85912e-10 -7.66585e-10 4.65790e-10 -1.83415e-10 -5.72219e-10 -1.25075e-10

#tpc2k_z8_q4
1 8 3 20
# precision: tgt 2.00e-03 max 5.34e-04 (26.7%) avg 7.29e-05 (3.6%)
-5.28803e-04 -1.58492e-06 7.89932e-06 -2.53270e-05 1.62713e-08 -1.10930e-07 6.78731e-07 4.42456e-08 -1.15593e-07 1.19406e-08 -6.23894e-11 4.97599e-10 -6.65028e-10 -3.37996e-10 6.35482e-10 -4.71651e-10 8.81896e-11 -9.29891e-11 -2.16224e-10 -3.35249e-11
# precision: tgt 2.00e-03 max 4.82e-04 (24.1%) avg 6.30e-05 (3.2%)
5.94396e-04 -1.35050e-05 1.14340e-05 1.81945e-05 8.97544e-08 -8.34416e-08 -1.11365e-07 8.28128e-08 6.98970e-07 -3.39004e-08 -1.61901e-10 1.88812e-10 2.90169e-10 8.02078e-12 -3.27097e-10 -1.21039e-10 9.51096e-11 8.83056e-10 -6.35591e-11 -2.51919e-10
# precision: tgt 2.00e-03 max 5.63e-04 (28.1%) avg 1.00e-04 (5.0%)
2.04442e+00 -3.15563e-05 3.08711e-05 -2.89677e-05 4.76274e-07 -3.07656e-07 2.25001e-07 4.60556e-07 -1.65855e-07 -7.24681e-07 -5.63283e-10 8.12002e-10 -6.70230e-10 -7.95743e-10 6.92905e-12 3.45698e-10 5.93125e-10 -4.34655e-10 -7.46471e-10 -2.07695e-10

#tpc2k_z9_q1
1 9 0 20
# precision: tgt 2.00e-03 max 3.13e-04 (15.7%) avg 3.62e-05 (1.8%)
-2.54913e-05 -5.08737e-06 -1.42342e-06 -1.69887e-05 4.88255e-08 6.64218e-08 6.34532e-07 6.63137e-09 6.62578e-08 1.93828e-08 -1.57746e-10 -2.41867e-10 -4.05310e-10 -1.47937e-10 -3.39353e-10 -1.88824e-10 -1.80246e-11 -8.94952e-11 1.54039e-10 2.43282e-11
# precision: tgt 2.00e-03 max 3.89e-04 (19.5%) avg 5.45e-05 (2.7%)
-1.39668e-03 1.63260e-05 1.36870e-05 3.23997e-06 -6.81436e-08 -1.55479e-07 5.27759e-08 -1.14931e-07 6.26279e-07 -1.25844e-08 1.06571e-10 3.16339e-10 -1.38313e-10 2.87350e-10 -1.43709e-10 1.22363e-10 2.29717e-10 -3.16544e-10 4.55688e-11 1.11579e-10
# precision: tgt 2.00e-03 max 7.60e-04 (38.0%) avg 8.75e-05 (4.4%)
2.04531e+00 -3.43762e-05 -9.03332e-06 -2.64040e-06 5.17357e-07 2.13118e-07 1.27552e-07 4.70481e-07 6.81149e-08 -5.73767e-07 -6.71577e-10 -7.39264e-10 -3.91434e-10 -4.76407e-10 -2.32896e-11 1.33361e-10 -5.75503e-10 -2.16208e-10 3.72211e-10 5.03587e-11

#tpc2k_z9_q2
1 9 1 20
# precision: tgt 2.00e-03 max 4.71e-04 (23.6%) avg 5.43e-05 (2.7%)
3.51795e-04 -2.24788e-07 3.14749e-06 -1.51327e-06 -4.55833e-08 6.03191e-08 5.78010e-07 -6.98632e-08 -3.45223e-08 9.85832e-08 -8.31046e-11 2.76991e-10 4.06621e-10 -1.38788e-10 -1.18979e-10 2.26615e-10 2.23060e-10 1.37806e-10 -1.71957e-10 -1.55979e-12
# precision: tgt 2.00e-03 max 4.24e-04 (21.2%) avg 4.37e-05 (2.2%)
-9.63983e-04 -2.31620e-06 1.13707e-06 1.07222e-05 1.84044e-08 1.97876e-08 -6.81225e-09 -4.73094e-09 5.75218e-07 8.11402e-09 8.59753e-11 7.07595e-12 2.43045e-11 -4.08848e-13 3.32446e-10 -1.09859e-10 -4.57920e-11 -2.00120e-10 -4.84177e-11 4.94418e-11
# precision: tgt 2.00e-03 max 6.22e-04 (31.1%) avg 6.05e-05 (3.0%)
2.04603e+00 1.82568e-05 -2.44699e-05 -1.44422e-06 4.57383e-07 -3.19223e-07 4.78267e-08 5.59959e-07 3.04808e-08 -6.03664e-07 4.92531e-10 -7.69961e-10 5.84483e-11 9.70224e-10 -2.29889e-10 -5.60001e-10 -7.36871e-10 -1.25786e-10 3.23199e-10 -1.27782e-10

#tpc2k_z9_q3
1 9 2 20
# precision: tgt 2.00e-03 max 3.43e-04 (17.1%) avg 5.66e-05 (2.8%)
1.39272e-04 -6.26525e-06 -9.10048e-07 -6.97522e-07 -1.06553e-07 -5.20040e-08 5.92731e-07 -6.40833e-08 4.97415e-08 8.88139e-08 -2.56976e-10 -2.76242e-10 4.20973e-10 -1.73420e-10 9.88306e-11 2.96469e-10 -1.64462e-10 1.86525e-10 1.68483e-10 -8.90113e-11
# precision: tgt 2.00e-03 max 3.86e-04 (19.3%) avg 4.25e-05 (2.1%)
1.23248e-04 2.88229e-06 -7.00130e-07 1.93551e-05 -6.73228e-09 -4.05220e-08 5.11075e-08 3.15548e-08 6.07012e-07 4.82942e-08 -4.73844e-11 -4.38108e-11 9.10826e-11 -7.26640e-11 2.51320e-10 1.55683e-10 8.69128e-11 4.39921e-10 9.11167e-11 5.59121e-11
# precision: tgt 2.00e-03 max 6.68e-04 (33.4%) avg 7.69e-05 (3.8%)
2.04550e+00 1.44122e-05 2.82587e-05 2.55613e-06 5.00048e-07 1.73154e-07 5.83716e-08 4.11891e-07 -1.21672e-08 -5.84397e-07 7.22287e-10 5.39459e-10 5.20838e-11 4.71590e-10 1.32329e-10 -5.62109e-10 4.15769e-10 5.84931e-12 -4.62438e-10 -6.85212e-11

#tpc2k_z9_q4
1 9 3 20
# precision: tgt 2.00e-03 max 6.25e-04 (31.3%) avg 6.82e-05 (3.4%)
3.60009e-04 -1.04907e-05 1.51355e-05 -1.68311e-05 6.06806e-08 -1.45063e-07 6.27436e-07 6.21722e-08 -6.04318e-08 2.08427e-08 -1.33052e-10 4.23996e-10 -4.01739e-10 -4.24748e-10 3.25864e-10 -2.36880e-10 8.76444e-11 -3.32915e-12 -2.29302e-10 2.34976e-11
# precision: tgt 2.00e-03 max 6.01e-04 (30.1%) avg 6.04e-05 (3.0%)
4.57666e-04 -1.55697e-05 6.47036e-06 1.69511e-05 1.29867e-07 -1.16721e-07 -4.72475e-08 6.94872e-08 6.04548e-07 2.16142e-08 -2.83214e-10 2.75896e-10 1.67288e-10 -1.29447e-10 -1.62844e-10 -4.12390e-11 1.40307e-10 4.49879e-10 7.22868e-11 -1.12726e-10
# precision: tgt 2.00e-03 max 5.06e-04 (25.3%) avg 9.58e-05 (4.8%)
2.04580e+00 -3.68721e-05 3.55082e-05 -1.21625e-06 4.76724e-07 -2.70181e-07 9.04725e-08 4.57118e-07 -4.43370e-08 -6.03553e-07 -5.09120e-10 6.68845e-10 -3.28636e-10 -7.22220e-10 -1.01500e-10 1.47537e-10 5.14696e-10 -1.10457e-10 -5.96481e-10 -2.35258e-11
