# 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