# This file was generated from fitsol.py at 2017-08-04 21:40:21.727212
# 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 < neg2z < -260 < negz < 0 < posz < 260 < pos2z < 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

#cal5k_z0_q1
4 0 0 20
# precision: tgt 5.00e-03 max 2.04e-02 (407.1%) avg 2.92e-03 (58.3%)
-2.13573e+00 -2.38508e-03 -2.29268e-03 -1.72890e-02 1.13363e-05 2.56121e-05 2.13612e-05 8.40107e-06 1.81240e-05 -2.50396e-05 -4.72784e-09 -1.50020e-08 8.13274e-09 -1.62354e-08 1.29928e-08 2.91368e-08 1.76687e-10 6.08646e-09 2.36729e-08 -8.75258e-09
# precision: tgt 5.00e-03 max 3.90e-02 (781.0%) avg 3.56e-03 (71.2%)
-1.72594e+00 -4.61708e-03 1.95118e-03 -1.39081e-02 9.31734e-06 1.65025e-05 4.11824e-06 5.19765e-06 2.53064e-05 -2.22174e-05 -3.04432e-09 -1.70204e-08 3.26123e-09 -6.61560e-09 4.37720e-09 5.95268e-09 -2.85342e-09 5.43954e-09 2.88913e-08 -1.09553e-08
# precision: tgt 5.00e-03 max 2.07e-02 (414.7%) avg 1.67e-03 (33.4%)
-8.57646e-01 -7.20596e-03 -9.57735e-03 -4.03696e-02 1.03447e-05 1.18252e-05 -1.56720e-05 1.37104e-05 -2.23343e-05 -8.55524e-05 2.81023e-09 3.99897e-09 2.71784e-08 2.19240e-09 2.82772e-08 -1.74230e-10 8.17087e-10 2.99224e-08 -5.73712e-09 -5.53593e-08

#cal5k_z0_q2
4 0 1 20
# precision: tgt 5.00e-03 max 1.84e-02 (368.2%) avg 1.98e-03 (39.6%)
2.70645e+00 6.05027e-03 -3.79974e-03 1.21786e-02 1.50016e-06 3.47487e-06 2.61131e-05 -1.39440e-06 -2.01474e-05 1.32789e-05 9.11229e-10 -3.31630e-09 -3.43590e-09 -2.67890e-09 7.29734e-09 2.92421e-08 -1.75820e-09 -4.12609e-09 -2.27698e-08 1.36717e-09
# precision: tgt 5.00e-03 max 3.77e-02 (754.9%) avg 3.29e-03 (65.8%)
-2.47575e+00 2.31258e-03 3.20022e-03 -1.64006e-02 7.69451e-06 -1.65969e-05 -1.15391e-05 6.09360e-06 3.11815e-05 -2.33361e-05 1.83034e-09 -1.60338e-08 2.49245e-09 7.88373e-09 -3.90902e-09 -1.26604e-08 -3.25217e-09 5.88917e-09 3.46018e-08 -9.35136e-09
# precision: tgt 5.00e-03 max 1.26e-02 (251.3%) avg 1.55e-03 (31.1%)
-2.19238e+00 6.14425e-03 -8.26118e-03 -4.64668e-02 1.41543e-05 -1.48316e-05 6.69059e-06 1.42736e-05 -1.56102e-05 -9.27228e-05 1.16339e-09 -2.80345e-09 2.48610e-08 1.96947e-09 -2.25954e-08 -5.73784e-09 -7.31769e-12 2.74315e-08 -2.42595e-09 -5.80683e-08

#cal5k_z0_q3
4 0 2 20
# precision: tgt 5.00e-03 max 1.86e-02 (372.2%) avg 2.53e-03 (50.5%)
-1.36876e+00 6.08532e-04 -9.13290e-04 -7.44228e-03 -1.68606e-06 -3.94011e-06 7.55728e-06 -2.58699e-07 -3.73716e-07 -1.62895e-05 -1.88078e-09 -4.76095e-10 -4.29889e-09 -3.01699e-09 -5.14884e-09 1.14737e-08 2.26629e-09 -3.65364e-09 2.05126e-09 -1.21529e-08
# precision: tgt 5.00e-03 max 1.86e-02 (372.3%) avg 2.91e-03 (58.2%)
1.29197e+00 8.64551e-03 6.96126e-03 -1.70442e-03 6.73093e-06 1.01402e-05 2.16092e-05 2.48429e-06 1.84755e-05 -1.59724e-05 6.62558e-09 4.27556e-09 -7.81992e-11 8.55595e-09 5.33965e-09 1.73300e-08 -1.46246e-09 -2.12641e-09 1.70952e-08 -1.63805e-08
# precision: tgt 5.00e-03 max 2.98e-02 (596.8%) avg 4.35e-03 (87.1%)
-3.51622e+00 -3.29739e-03 -1.27413e-03 -4.82516e-02 2.99243e-06 5.28982e-06 -1.86619e-05 3.17689e-06 -1.14637e-05 -8.57031e-05 8.03661e-10 2.98073e-09 4.00614e-09 5.81456e-09 -5.83912e-10 -1.88917e-08 1.45553e-09 1.93246e-09 -1.06075e-08 -4.81908e-08

#cal5k_z0_q4
4 0 3 20
# precision: tgt 5.00e-03 max 2.13e-02 (425.5%) avg 4.45e-03 (89.0%)
3.66056e+00 -1.60863e-03 9.63123e-04 1.96166e-02 4.43094e-06 -4.95118e-06 2.14072e-06 -9.76933e-07 1.58271e-06 3.80163e-05 -3.25993e-09 1.86174e-09 7.37600e-09 -1.65836e-09 -7.60812e-09 8.56777e-09 -3.43806e-09 4.02880e-09 -1.79877e-09 2.55038e-08
# precision: tgt 5.00e-03 max 2.96e-02 (592.0%) avg 4.13e-03 (82.5%)
-1.85763e+00 2.66140e-05 6.73431e-04 -1.13869e-02 -7.38519e-06 1.03365e-05 -1.62281e-05 -4.70585e-06 1.45420e-05 -3.20308e-05 1.92957e-09 -1.57495e-08 -1.22610e-09 4.55283e-09 -4.77969e-09 -1.29179e-08 -4.77912e-09 -2.82503e-09 1.39070e-08 -2.51916e-08
# precision: tgt 5.00e-03 max 3.15e-02 (630.3%) avg 4.55e-03 (91.0%)
1.14459e+00 3.13304e-03 -3.67462e-04 -2.24438e-02 1.34597e-08 -4.03598e-06 1.50300e-05 2.63172e-06 -7.24900e-06 -3.87236e-05 1.46025e-09 -4.55633e-10 3.40842e-09 -4.31511e-09 -2.27594e-09 1.60512e-08 1.17924e-09 2.19803e-09 -7.79117e-09 -1.92681e-08

#cal5k_z1_q1
4 1 0 20
# precision: tgt 5.00e-03 max 1.92e-02 (383.6%) avg 3.00e-03 (60.1%)
4.68720e-01 -7.89464e-03 -7.51576e-03 -6.28178e-03 1.44833e-05 2.45129e-05 1.45552e-07 9.21494e-06 -4.93319e-06 -1.44746e-05 -4.73592e-09 -1.38640e-08 1.52180e-08 -1.31518e-08 1.64725e-08 1.11968e-08 7.95495e-10 1.11589e-08 2.82207e-09 -9.24266e-09
# precision: tgt 5.00e-03 max 3.26e-02 (652.2%) avg 2.83e-03 (56.5%)
-1.44407e+00 -4.35840e-03 -1.89545e-03 -1.22564e-02 9.22260e-06 1.19202e-05 -9.43509e-08 6.30662e-06 6.58136e-06 -2.32736e-05 -1.06144e-09 -9.75094e-09 1.10524e-08 -1.19402e-09 9.94188e-09 5.66498e-09 -8.16119e-10 1.39659e-08 1.44244e-08 -1.41861e-08
# precision: tgt 5.00e-03 max 1.02e-02 (203.0%) avg 1.69e-03 (33.8%)
4.55087e+00 1.04208e-03 -1.42818e-04 6.00048e-04 -1.60547e-06 -9.34329e-06 -7.62284e-06 5.51540e-07 -1.03548e-05 1.42370e-07 3.94110e-09 1.15262e-08 1.07230e-08 9.39815e-09 4.47868e-09 -6.14617e-09 3.12328e-09 1.22196e-08 -8.48011e-09 5.72187e-11

#cal5k_z1_q2
4 1 1 20
# precision: tgt 5.00e-03 max 1.05e-02 (210.4%) avg 2.01e-03 (40.2%)
5.17836e-01 -2.12521e-03 3.39280e-03 6.20357e-03 -4.29700e-06 6.97952e-06 1.91930e-07 -3.98458e-06 5.82430e-06 1.45959e-05 2.45843e-10 -2.40646e-09 -1.33009e-08 -1.14400e-09 1.54637e-08 9.56643e-09 -2.08692e-09 -1.11630e-08 -1.53243e-09 9.94545e-09
# precision: tgt 5.00e-03 max 3.20e-02 (640.3%) avg 2.45e-03 (48.9%)
-2.50556e+00 3.45106e-03 -1.51448e-03 -1.84297e-02 6.92176e-06 -1.03474e-05 -2.88698e-07 5.87611e-06 6.83317e-06 -3.62333e-05 -6.79440e-10 -6.85702e-09 1.09439e-08 3.13156e-12 -1.12277e-08 -6.50752e-09 -3.41916e-10 1.47244e-08 1.55632e-08 -2.29172e-08
# precision: tgt 5.00e-03 max 9.47e-03 (189.5%) avg 1.71e-03 (34.2%)
5.16399e+00 -1.37826e-03 1.43571e-04 4.85510e-03 -7.99301e-07 9.03214e-06 5.49318e-06 3.03137e-07 -9.46210e-06 1.00743e-05 -2.67898e-09 9.45695e-09 9.18029e-09 -8.55573e-09 -1.74487e-09 5.58173e-09 3.07929e-09 1.11002e-08 -9.15336e-09 7.10930e-09

#cal5k_z1_q3
4 1 2 20
# precision: tgt 5.00e-03 max 1.05e-02 (210.0%) avg 1.58e-03 (31.5%)
1.34345e-01 -2.18955e-03 -2.85884e-03 2.43112e-03 -6.87216e-06 -7.06445e-06 1.67870e-06 -4.38899e-06 -4.40943e-06 4.73579e-06 -1.90757e-09 -1.59261e-09 -1.36741e-08 -3.36693e-09 -9.80954e-09 9.74416e-09 1.63904e-09 -1.09081e-08 1.07907e-09 2.69392e-09
# precision: tgt 5.00e-03 max 2.76e-02 (551.1%) avg 2.73e-03 (54.6%)
5.99221e-01 1.15941e-03 1.01767e-03 1.07000e-03 2.03710e-06 4.00099e-06 -1.33670e-06 -2.03992e-06 2.50394e-06 4.12801e-07 5.00104e-09 3.39415e-09 -6.84023e-09 6.99657e-09 -4.38356e-09 -1.15886e-10 -9.15766e-10 -1.06381e-08 7.57662e-09 1.51540e-10
# precision: tgt 5.00e-03 max 1.57e-02 (313.3%) avg 2.36e-03 (47.2%)
5.02969e+00 -1.97360e-03 -7.62685e-04 3.51298e-03 1.17304e-06 -1.88532e-06 -5.19779e-06 2.82188e-06 -2.20310e-06 1.26580e-05 -1.71014e-09 -4.50222e-09 9.11337e-09 -2.57198e-09 4.21486e-09 -8.08200e-09 -3.65585e-10 9.94383e-09 -5.49481e-09 1.43376e-08

#cal5k_z1_q4
4 1 3 20
# precision: tgt 5.00e-03 max 2.20e-02 (439.8%) avg 3.49e-03 (69.8%)
-3.55416e-01 -3.45878e-03 2.99126e-03 -4.51003e-03 9.17622e-06 -8.10876e-06 -5.12297e-07 3.65034e-06 5.46290e-06 -9.97654e-06 -3.45275e-09 3.65851e-09 1.51856e-08 -2.78435e-09 -1.06636e-08 8.62457e-09 -2.49206e-09 1.12810e-08 -4.26703e-10 -6.72884e-09
# precision: tgt 5.00e-03 max 2.98e-02 (596.6%) avg 3.87e-03 (77.3%)
3.29116e-01 5.66375e-03 -4.11333e-03 6.69308e-03 -1.20803e-05 1.63206e-05 -4.00673e-07 -9.09419e-06 2.74384e-06 1.13797e-05 4.12164e-09 -1.80649e-08 -6.16644e-09 7.16072e-09 1.71850e-09 -4.05649e-10 -4.39517e-09 -1.01339e-08 6.68389e-09 7.85543e-09
# precision: tgt 5.00e-03 max 1.68e-02 (335.4%) avg 2.51e-03 (50.3%)
4.03738e+00 1.73472e-03 -3.85825e-04 -2.88815e-03 1.27091e-06 7.34827e-07 4.99978e-06 3.75008e-06 -2.08760e-06 -6.94100e-07 2.04643e-09 -4.62259e-09 9.85689e-09 2.00283e-09 -6.36537e-09 8.63598e-09 -1.49530e-10 1.13464e-08 -6.56851e-09 5.31520e-09

#cal5k_z10_q1
4 10 0 20
# precision: tgt 5.00e-03 max 1.63e-02 (325.5%) avg 2.16e-03 (43.3%)
8.39320e-01 -4.47114e-03 -3.42451e-03 3.75348e-05 7.57539e-06 1.33817e-05 1.58801e-06 3.87893e-06 4.62053e-07 4.84210e-08 -4.04097e-09 -1.23837e-08 -6.88321e-10 -8.77003e-09 -7.89379e-10 -1.22040e-09 -9.31423e-10 -1.13837e-09 -2.78510e-10 -3.33469e-09
# precision: tgt 5.00e-03 max 2.24e-02 (449.0%) avg 2.21e-03 (44.2%)
5.58482e-01 -2.57883e-03 -1.46606e-03 9.15627e-05 3.28995e-06 5.93165e-06 1.22008e-07 -1.58487e-07 1.77800e-06 8.25202e-07 -7.07497e-10 -5.74321e-09 -5.14018e-10 -8.30630e-10 -4.52796e-10 -1.16801e-09 1.37383e-09 -9.38149e-10 -3.98905e-10 5.56696e-09
# precision: tgt 5.00e-03 max 5.04e-03 (100.7%) avg 5.41e-04 (10.8%)
5.13137e+00 -3.26549e-04 -3.06499e-04 1.85378e-04 8.73750e-07 1.25594e-06 -6.84086e-08 1.02246e-06 -2.62261e-07 -1.13783e-06 -1.35167e-10 -1.12589e-09 -1.91502e-10 -1.04410e-09 6.33464e-10 2.23422e-09 -3.49190e-10 -3.52026e-10 -2.14143e-10 -9.91560e-10

#cal5k_z10_q2
4 10 1 20
# precision: tgt 5.00e-03 max 1.25e-02 (250.4%) avg 1.78e-03 (35.6%)
-2.29794e-01 -1.20913e-03 6.39688e-04 2.27828e-04 -2.07633e-06 2.71957e-06 2.49739e-06 -9.01395e-08 -8.62119e-07 1.54977e-07 -1.09799e-09 2.72947e-09 1.28631e-09 -6.49688e-10 -1.71973e-09 1.10643e-09 -4.76398e-10 8.48924e-10 -6.96616e-10 -5.87306e-09
# precision: tgt 5.00e-03 max 2.14e-02 (427.1%) avg 1.85e-03 (36.9%)
5.49922e-01 2.50225e-03 -1.53967e-03 3.84317e-04 3.09257e-06 -6.10139e-06 8.33961e-07 2.52219e-07 5.42510e-07 -7.90120e-07 5.54045e-10 -5.70964e-09 1.87338e-10 1.39070e-09 -1.56493e-09 -1.37046e-09 9.10513e-10 1.43303e-10 9.61037e-10 -1.08620e-10
# precision: tgt 5.00e-03 max 3.96e-03 (79.2%) avg 3.79e-04 (7.6%)
5.13721e+00 4.39070e-04 -3.41374e-04 5.18090e-05 1.31983e-06 -1.51012e-06 -2.93158e-07 1.08536e-06 8.41212e-08 -1.10884e-06 5.67971e-10 -1.53470e-09 -4.83268e-10 1.20770e-09 1.10670e-10 -2.48203e-09 -3.72620e-10 -4.45618e-10 -4.21305e-11 6.75749e-10

#cal5k_z10_q3
4 10 2 20
# precision: tgt 5.00e-03 max 5.01e-03 (100.3%) avg 1.04e-03 (20.7%)
6.58050e-02 4.85984e-04 6.80226e-04 -1.50148e-04 1.10319e-06 2.37457e-06 1.40872e-06 1.73593e-06 -1.50168e-07 -6.09093e-07 8.34080e-10 2.17241e-09 7.60254e-10 2.77789e-09 -1.31946e-10 -1.48808e-09 1.26669e-09 3.51447e-10 -1.29110e-09 1.71376e-09
# precision: tgt 5.00e-03 max 3.05e-02 (610.6%) avg 2.70e-03 (54.0%)
-1.77351e-01 -1.95238e-05 -4.90845e-04 1.70171e-04 2.24921e-06 -7.49689e-07 5.18662e-07 2.67586e-07 2.17408e-06 4.78152e-07 3.12323e-09 9.47611e-10 5.59828e-10 8.11051e-11 1.25131e-09 1.03399e-09 9.19554e-10 1.10104e-09 -8.34840e-11 1.34150e-09
# precision: tgt 5.00e-03 max 5.35e-03 (106.9%) avg 9.36e-04 (18.7%)
5.12789e+00 2.60906e-04 3.41168e-04 4.09048e-04 8.05725e-07 8.95776e-07 1.72546e-07 8.83210e-07 1.85628e-07 1.81776e-06 2.00188e-10 5.94496e-10 -1.17847e-09 7.89148e-10 -1.30162e-10 3.99754e-09 2.32936e-10 -1.03626e-09 4.38924e-09 -8.48091e-10

#cal5k_z10_q4
4 10 3 20
# precision: tgt 5.00e-03 max 1.54e-02 (308.8%) avg 2.82e-03 (56.5%)
2.82607e-01 -1.79880e-03 6.36997e-04 6.90699e-05 3.57512e-06 -4.03517e-06 1.50726e-06 -5.56427e-07 -2.92892e-08 3.06506e-07 -2.23921e-09 5.06486e-09 -5.01284e-10 -8.48282e-10 1.27053e-10 -7.29828e-10 -1.25974e-09 -4.73462e-10 1.10742e-09 -4.04765e-10
# precision: tgt 5.00e-03 max 2.93e-02 (585.5%) avg 3.82e-03 (76.4%)
-7.05665e-01 3.99024e-03 -1.70404e-03 1.71590e-07 -7.03408e-06 8.55658e-06 8.69383e-08 5.82900e-07 1.42909e-06 1.04968e-06 3.72657e-09 -1.00006e-08 -2.01574e-11 8.38445e-10 -3.69098e-11 -1.31971e-09 1.82450e-09 4.65652e-10 -1.47304e-09 1.01713e-08
# precision: tgt 5.00e-03 max 5.36e-03 (107.2%) avg 9.47e-04 (18.9%)
5.09810e+00 -1.87274e-04 1.74460e-04 3.97745e-04 7.83808e-07 -4.91483e-07 -1.01675e-09 5.95116e-07 -5.40243e-09 2.51812e-06 -2.56148e-10 4.20857e-10 -1.33938e-09 -3.80681e-10 4.45147e-10 -5.21796e-09 8.61959e-11 -1.37295e-09 5.34541e-09 1.25017e-09

#cal5k_z11_q1
4 11 0 20
# precision: tgt 5.00e-03 max 1.36e-02 (272.8%) avg 2.13e-03 (42.5%)
9.05819e-01 -4.73104e-03 -3.99009e-03 -9.79804e-05 7.92297e-06 1.48757e-05 1.95887e-06 5.21970e-06 7.49812e-07 -3.09292e-07 -4.23926e-09 -1.32119e-08 -7.32295e-10 -1.07164e-08 -1.18565e-09 1.11998e-10 -1.86177e-09 -1.13429e-09 1.40975e-10 2.13577e-09
# precision: tgt 5.00e-03 max 2.32e-02 (463.4%) avg 2.28e-03 (45.6%)
7.82148e-01 -3.70924e-03 -2.52576e-03 -1.25238e-04 5.07497e-06 9.69771e-06 8.16961e-07 1.43254e-06 2.28496e-06 -5.03796e-07 -1.54898e-09 -8.95255e-09 -1.01266e-09 -3.79183e-09 -1.31656e-09 6.93601e-11 6.26407e-10 -1.04249e-09 -5.13298e-10 7.37978e-09
# precision: tgt 5.00e-03 max 4.08e-03 (81.5%) avg 4.48e-04 (9.0%)
5.11622e+00 -2.76898e-04 -2.49649e-04 5.54760e-05 8.63471e-07 1.07185e-06 -1.95663e-07 9.55047e-07 -2.64030e-07 -1.24318e-06 -1.96047e-10 -1.00348e-09 2.21076e-10 -9.31892e-10 4.92778e-10 -2.38527e-10 -3.09384e-10 2.58340e-10 -6.20945e-11 -4.78154e-10

#cal5k_z11_q2
4 11 1 20
# precision: tgt 5.00e-03 max 1.05e-02 (210.4%) avg 1.80e-03 (36.1%)
-3.81737e-01 -1.99173e-03 1.55974e-03 2.44286e-04 -3.40662e-06 5.80078e-06 2.63464e-06 -1.85054e-06 -1.11046e-06 5.51687e-07 -1.84934e-09 5.22700e-09 1.46864e-09 -3.65690e-09 -2.23409e-09 9.92331e-10 5.66203e-10 1.18904e-09 -6.63338e-10 4.65350e-10
# precision: tgt 5.00e-03 max 2.19e-02 (437.4%) avg 1.90e-03 (37.9%)
5.14642e-01 2.42108e-03 -1.35369e-03 1.26724e-04 3.13235e-06 -5.64209e-06 -5.31347e-08 -2.19443e-10 1.33020e-06 5.65016e-07 6.57861e-10 -5.59507e-09 -5.19775e-10 8.75205e-10 -1.07961e-10 8.89728e-10 9.56624e-10 -2.95777e-10 -3.06463e-10 -2.35037e-09
# precision: tgt 5.00e-03 max 3.52e-03 (70.4%) avg 3.49e-04 (7.0%)
5.14489e+00 5.08695e-04 -3.94965e-04 -6.06778e-05 1.48920e-06 -1.73468e-06 -1.44540e-07 1.20728e-06 1.40264e-07 -1.50043e-06 6.98831e-10 -1.77757e-09 -1.19052e-10 1.40195e-09 3.38952e-10 -2.01355e-10 -4.60921e-10 -3.95403e-11 3.17749e-10 -8.93389e-12

#cal5k_z11_q3
4 11 2 20
# precision: tgt 5.00e-03 max 4.58e-03 (91.6%) avg 1.05e-03 (21.1%)
4.51766e-02 3.50789e-04 4.99763e-04 -1.34588e-04 7.86946e-07 1.77169e-06 1.35095e-06 1.31548e-06 -2.35219e-07 4.73980e-07 5.72180e-10 1.69118e-09 5.13794e-10 2.05750e-09 -2.47724e-10 9.03667e-10 9.99949e-10 1.03294e-10 6.54064e-10 -2.80918e-09
# precision: tgt 5.00e-03 max 2.93e-02 (586.3%) avg 2.75e-03 (55.0%)
-2.46932e-01 -3.44209e-04 -8.34005e-04 1.98923e-04 1.80338e-06 -1.86302e-06 6.57234e-07 -2.86872e-07 2.10697e-06 4.21205e-08 2.98003e-09 6.23781e-11 7.05871e-10 -8.06015e-10 1.29774e-09 2.20929e-10 6.21636e-10 9.08736e-10 1.22928e-09 1.16770e-09
# precision: tgt 5.00e-03 max 6.37e-03 (127.3%) avg 1.07e-03 (21.3%)
5.14837e+00 4.08718e-04 4.46903e-04 -1.81833e-04 1.17242e-06 1.39619e-06 1.18061e-06 1.06431e-06 4.66464e-07 -1.37991e-07 5.02535e-10 1.16133e-09 2.70709e-09 1.20238e-09 1.20371e-09 -2.50021e-10 3.54585e-10 1.99098e-09 2.22892e-09 -2.79073e-09

#cal5k_z11_q4
4 11 3 20
# precision: tgt 5.00e-03 max 1.61e-02 (321.2%) avg 2.97e-03 (59.3%)
3.22156e-01 -1.96471e-03 7.94777e-04 -1.63836e-04 3.77489e-06 -4.50702e-06 2.20415e-06 -4.19228e-07 -8.02883e-07 -3.10843e-07 -2.29909e-09 5.33064e-09 -9.32940e-10 -1.13560e-09 1.37131e-09 1.57692e-10 -1.29715e-09 -1.00882e-09 -3.18302e-10 3.68192e-09
# precision: tgt 5.00e-03 max 3.00e-02 (599.4%) avg 3.88e-03 (77.6%)
-8.05894e-01 4.53701e-03 -2.18891e-03 2.72367e-04 -7.97120e-06 1.03399e-05 -8.69411e-07 -2.04210e-07 2.27214e-06 -1.28137e-06 4.21192e-09 -1.16305e-08 8.50031e-10 2.21338e-09 -1.50694e-09 1.72946e-09 1.38055e-09 9.86754e-10 -6.29380e-10 5.03225e-09
# precision: tgt 5.00e-03 max 4.59e-03 (91.8%) avg 8.84e-04 (17.7%)
5.09683e+00 -1.29948e-04 1.68055e-04 -8.56595e-05 5.36840e-07 -3.59296e-07 2.81318e-07 5.37043e-07 -2.99472e-07 -1.21924e-06 1.76979e-11 1.72005e-10 -1.64626e-10 -2.49555e-10 4.50747e-10 -9.58022e-11 -7.50949e-12 -2.62299e-10 4.15075e-10 -1.93634e-09

#cal5k_z12_q1
4 12 0 20
# precision: tgt 5.00e-03 max 1.28e-02 (255.7%) avg 2.10e-03 (42.0%)
9.45558e-01 -4.85899e-03 -4.28603e-03 -1.75869e-04 8.06939e-06 1.56455e-05 1.78574e-06 5.87864e-06 6.05766e-07 1.59346e-06 -4.31836e-09 -1.35935e-08 -7.07396e-10 -1.17511e-08 -7.86856e-10 2.43795e-10 -2.28669e-09 -8.60550e-10 -9.71667e-10 -5.29263e-09
# precision: tgt 5.00e-03 max 2.35e-02 (470.6%) avg 2.31e-03 (46.1%)
9.04508e-01 -4.30503e-03 -3.10241e-03 -2.67387e-04 5.98279e-06 1.17012e-05 9.03423e-07 2.35713e-06 2.23148e-06 1.49454e-06 -1.93931e-09 -1.06638e-08 -9.46647e-10 -5.38785e-09 -1.22950e-09 -1.04747e-09 1.14876e-10 -9.10833e-10 -1.86942e-10 -3.92662e-09
# precision: tgt 5.00e-03 max 4.15e-03 (82.9%) avg 4.07e-04 (8.1%)
5.12025e+00 -3.11956e-04 -2.65251e-04 6.30284e-06 9.68157e-07 1.16222e-06 -4.43422e-08 9.70319e-07 -1.19414e-07 -1.53924e-06 -3.03228e-10 -1.11498e-09 1.89537e-10 -9.99167e-10 1.82241e-10 -7.41025e-11 -3.11758e-10 2.48279e-10 7.97143e-11 8.21595e-10

#cal5k_z12_q2
4 12 1 20
# precision: tgt 5.00e-03 max 9.75e-03 (195.0%) avg 1.80e-03 (35.9%)
-4.89422e-01 -2.50168e-03 2.11816e-03 1.56769e-04 -4.19200e-06 7.67700e-06 2.21384e-06 -2.76530e-06 -5.90722e-07 -2.88135e-07 -2.25051e-09 6.69447e-09 1.09369e-09 -5.36758e-09 -1.23948e-09 7.24808e-11 1.01278e-09 6.52192e-10 2.46697e-10 1.81022e-10
# precision: tgt 5.00e-03 max 2.23e-02 (445.8%) avg 1.93e-03 (38.7%)
4.80710e-01 2.30690e-03 -1.10163e-03 1.61004e-04 3.03933e-06 -5.03925e-06 3.02815e-07 -4.98747e-07 7.88779e-07 1.06466e-06 6.42578e-10 -5.36679e-09 -6.55788e-11 1.39595e-10 -8.91208e-10 1.00693e-09 1.23787e-09 1.15124e-10 8.67478e-10 -2.98132e-09
# precision: tgt 5.00e-03 max 3.78e-03 (75.6%) avg 3.55e-04 (7.1%)
5.14697e+00 4.74341e-04 -3.71196e-04 -1.17133e-04 1.33545e-06 -1.59085e-06 -2.60379e-07 1.09378e-06 2.02016e-07 -1.22189e-06 5.50652e-10 -1.56098e-09 -1.02987e-10 1.23177e-09 4.30109e-10 3.32897e-10 -3.47611e-10 5.32900e-11 -1.30130e-10 7.13771e-11

#cal5k_z12_q3
4 12 2 20
# precision: tgt 5.00e-03 max 5.34e-03 (106.9%) avg 1.10e-03 (22.0%)
1.94906e-02 2.58937e-04 3.66467e-04 -2.22754e-05 6.88833e-07 1.41547e-06 1.59860e-06 1.11331e-06 5.11818e-08 -3.72439e-07 5.26467e-10 1.50294e-09 4.95647e-10 1.69119e-09 -1.05812e-10 -7.68627e-10 9.27982e-10 2.03303e-10 -9.65484e-10 -6.20379e-10
# precision: tgt 5.00e-03 max 3.01e-02 (602.3%) avg 2.77e-03 (55.4%)
-3.04320e-01 -6.29970e-04 -1.12214e-03 3.44015e-05 1.37884e-06 -2.85797e-06 2.00270e-07 -7.21086e-07 1.84802e-06 4.19075e-07 2.81840e-09 -7.51070e-10 5.12992e-10 -1.60579e-09 7.16882e-10 1.01029e-09 4.31544e-10 8.00258e-10 4.09947e-10 8.27009e-11
# precision: tgt 5.00e-03 max 5.99e-03 (119.7%) avg 1.07e-03 (21.5%)
5.13184e+00 3.11523e-04 3.58602e-04 -6.27532e-05 7.82599e-07 8.60286e-07 -1.38247e-07 8.31345e-07 -4.13825e-07 -7.15895e-07 -6.12038e-11 4.49392e-10 -7.36871e-10 5.23796e-10 -1.55900e-10 -5.59791e-10 8.28267e-11 -6.19617e-10 2.18911e-09 1.11391e-09

#cal5k_z12_q4
4 12 3 20
# precision: tgt 5.00e-03 max 1.64e-02 (328.3%) avg 3.10e-03 (62.1%)
3.67121e-01 -2.17355e-03 1.03756e-03 9.77716e-06 4.05642e-06 -5.26786e-06 2.01853e-06 -2.47332e-08 -5.43520e-07 -1.76040e-06 -2.41667e-09 5.86662e-09 -7.74534e-10 -1.83230e-09 9.08877e-10 1.56287e-10 -1.09561e-09 -6.61615e-10 1.48453e-10 8.29319e-09
# precision: tgt 5.00e-03 max 3.10e-02 (620.3%) avg 3.99e-03 (79.8%)
-8.50511e-01 4.77671e-03 -2.42087e-03 2.37091e-05 -8.32972e-06 1.11563e-05 -5.30614e-07 -6.13904e-07 1.81291e-06 1.65468e-06 4.34852e-09 -1.23526e-08 5.51754e-10 2.89466e-09 -7.25516e-10 6.85219e-10 1.10375e-09 4.66017e-10 -1.55049e-10 -9.04172e-09
# precision: tgt 5.00e-03 max 4.77e-03 (95.4%) avg 8.79e-04 (17.6%)
5.10251e+00 -2.11937e-04 2.45612e-04 4.83566e-05 7.83282e-07 -7.00259e-07 -8.01248e-08 7.69372e-07 3.66625e-09 -1.85805e-06 -1.89913e-10 5.72554e-10 7.14610e-11 -6.21100e-10 -5.41340e-11 5.42576e-10 1.90334e-10 -1.51296e-10 -2.71017e-10 5.35237e-10

#cal5k_z13_q1
4 13 0 20
# precision: tgt 5.00e-03 max 1.34e-02 (268.5%) avg 2.08e-03 (41.7%)
9.38826e-01 -4.98243e-03 -4.52878e-03 8.38958e-04 8.38253e-06 1.65417e-05 6.21032e-07 6.51584e-06 -4.98993e-07 -4.85784e-06 -4.56786e-09 -1.42977e-08 -1.97003e-10 -1.29041e-08 2.32180e-10 2.88488e-09 -2.71694e-09 -3.31837e-10 1.78944e-09 1.00533e-08
# precision: tgt 5.00e-03 max 2.37e-02 (474.8%) avg 2.37e-03 (47.5%)
1.06544e+00 -5.19629e-03 -3.96185e-03 1.44634e-04 7.41192e-06 1.47569e-05 7.36997e-07 3.72164e-06 2.05961e-06 -1.88986e-06 -2.62541e-09 -1.32407e-08 -9.61018e-10 -7.77305e-09 -1.70147e-09 2.64346e-10 -5.33895e-10 -1.35097e-09 2.10307e-09 4.00016e-09
# precision: tgt 5.00e-03 max 4.14e-03 (82.9%) avg 4.25e-04 (8.5%)
5.10781e+00 -3.63789e-04 -2.89080e-04 5.40912e-04 1.08853e-06 1.37425e-06 -4.63410e-07 9.47563e-07 -4.50766e-07 -4.54054e-06 -3.97457e-10 -1.31933e-09 3.99291e-10 -1.15161e-09 3.51800e-10 1.48082e-09 -2.77355e-10 8.15134e-10 2.79548e-10 4.57214e-09

#cal5k_z13_q2
4 13 1 20
# precision: tgt 5.00e-03 max 9.76e-03 (195.1%) avg 1.84e-03 (36.8%)
-5.18668e-01 -2.70142e-03 2.40119e-03 -5.83296e-04 -4.55169e-06 8.75257e-06 6.43638e-07 -3.23365e-06 2.92474e-07 3.71207e-06 -2.48350e-09 7.60949e-09 -1.06882e-10 -6.41583e-09 -1.83713e-12 3.11519e-09 1.22161e-09 -4.67892e-12 -1.17057e-09 -7.49609e-09
# precision: tgt 5.00e-03 max 2.28e-02 (456.3%) avg 1.96e-03 (39.3%)
4.32661e-01 2.19452e-03 -8.65789e-04 7.57566e-04 2.90675e-06 -4.54363e-06 8.26526e-07 -1.02182e-06 3.06971e-07 -3.59754e-06 6.00853e-10 -5.22983e-09 6.32682e-10 -5.07543e-10 -1.49174e-09 2.72165e-10 1.56864e-09 6.30428e-10 1.47962e-09 9.77238e-09
# precision: tgt 5.00e-03 max 4.15e-03 (83.0%) avg 4.18e-04 (8.4%)
5.12012e+00 4.21899e-04 -3.32853e-04 3.56018e-04 1.26397e-06 -1.47643e-06 3.09030e-07 1.03379e-06 -2.11222e-07 -3.18766e-06 5.16214e-10 -1.53716e-09 3.41882e-10 1.20764e-09 -6.26308e-10 -2.30846e-10 -3.12725e-10 3.97826e-10 1.41170e-10 1.18742e-09

#cal5k_z13_q3
4 13 2 20
# precision: tgt 5.00e-03 max 6.17e-03 (123.3%) avg 1.22e-03 (24.3%)
-4.65313e-02 1.61655e-05 -1.73964e-06 8.19024e-05 3.72927e-07 3.71890e-07 1.64646e-06 4.65268e-07 4.82029e-07 9.77441e-08 3.82849e-10 8.86396e-10 6.91750e-10 7.11647e-10 1.09636e-09 1.67083e-09 5.56173e-10 5.74414e-10 4.02230e-10 4.14427e-10
# precision: tgt 5.00e-03 max 3.15e-02 (630.7%) avg 2.79e-03 (55.9%)
-4.11655e-01 -1.31504e-03 -1.70082e-03 -6.39758e-04 3.33878e-07 -5.03719e-06 3.72470e-07 -1.53958e-06 1.40551e-06 5.76161e-06 2.34443e-09 -2.63231e-09 4.40124e-10 -3.24189e-09 4.51717e-10 -5.72358e-10 1.15172e-10 6.32625e-10 1.18621e-09 -1.59627e-08
# precision: tgt 5.00e-03 max 5.81e-03 (116.2%) avg 1.05e-03 (20.9%)
5.05820e+00 5.82110e-04 5.89086e-04 2.31528e-03 1.47445e-06 1.78447e-06 -1.09936e-06 1.43129e-06 -4.74370e-07 -1.98005e-05 6.75795e-10 1.38303e-09 -7.74560e-10 1.42332e-09 -1.70795e-09 1.16383e-09 4.68945e-10 -1.93063e-09 -3.77747e-09 4.22096e-08

#cal5k_z13_q4
4 13 3 20
# precision: tgt 5.00e-03 max 1.71e-02 (341.2%) avg 3.19e-03 (63.7%)
4.04598e-01 -2.28881e-03 1.18168e-03 -2.41091e-05 4.16127e-06 -5.80494e-06 1.54679e-06 1.48006e-07 -1.12497e-07 -5.18836e-07 -2.42426e-09 6.17575e-09 -4.83218e-10 -2.24298e-09 1.16590e-09 2.05044e-09 -1.06794e-09 -4.44004e-10 -1.84129e-09 -1.10384e-10
# precision: tgt 5.00e-03 max 3.09e-02 (617.3%) avg 4.03e-03 (80.6%)
-9.57693e-01 5.53816e-03 -3.03552e-03 -7.57017e-04 -9.71274e-06 1.37309e-05 3.56999e-07 -1.62872e-06 5.72428e-07 5.05792e-06 5.11297e-09 -1.48605e-08 -1.16494e-10 4.90789e-09 5.28042e-10 -8.05689e-11 5.87195e-10 8.94270e-12 2.22159e-09 -1.27140e-08
# precision: tgt 5.00e-03 max 4.92e-03 (98.4%) avg 8.14e-04 (16.3%)
5.04862e+00 1.15247e-04 -4.39905e-05 -4.82593e-05 3.63384e-07 1.46131e-07 -1.69062e-06 3.60642e-07 1.03037e-06 2.40874e-06 -8.54335e-11 1.14113e-10 1.83431e-09 -1.24568e-10 -2.84058e-09 -1.77313e-10 -2.56540e-11 6.75758e-10 1.04012e-09 -1.05171e-08

#cal5k_z14_q1
4 14 0 20
# precision: tgt 5.00e-03 max 1.28e-02 (256.0%) avg 2.11e-03 (42.3%)
1.06108e+00 -5.40711e-03 -4.96943e-03 -2.87429e-04 8.98006e-06 1.78129e-05 2.21385e-06 7.29289e-06 5.29500e-07 1.07127e-06 -5.00452e-09 -1.53241e-08 -2.10462e-10 -1.41563e-08 -4.20440e-10 -1.52615e-09 -3.25895e-09 -3.85832e-10 -7.52338e-10 -1.34536e-09
# precision: tgt 5.00e-03 max 2.49e-02 (498.1%) avg 2.48e-03 (49.6%)
1.20216e+00 -5.65613e-03 -4.42302e-03 -6.55255e-04 8.13920e-06 1.63206e-05 6.56852e-07 4.33855e-06 2.43509e-06 2.98712e-06 -3.06949e-09 -1.47361e-08 -2.09553e-10 -9.19325e-09 -6.08149e-10 -1.10533e-09 -9.09343e-10 -3.28666e-10 -1.49020e-09 -4.78895e-09
# precision: tgt 5.00e-03 max 3.84e-03 (76.8%) avg 4.03e-04 (8.1%)
5.13521e+00 -3.59968e-04 -2.69740e-04 -6.10003e-05 1.12253e-06 1.33490e-06 -3.87584e-07 9.36230e-07 -5.63054e-07 -7.04358e-07 -4.84964e-10 -1.36942e-09 6.61746e-10 -1.16336e-09 8.07471e-10 -7.46946e-12 -2.24188e-10 6.35443e-10 3.87735e-10 -2.06876e-09

#cal5k_z14_q2
4 14 1 20
# precision: tgt 5.00e-03 max 1.01e-02 (201.2%) avg 1.81e-03 (36.1%)
-5.99545e-01 -3.32466e-03 2.89416e-03 -6.33333e-04 -5.43237e-06 1.04200e-05 2.69264e-06 -4.08707e-06 -8.26321e-08 4.01978e-06 -2.98876e-09 9.00467e-09 3.58738e-10 -7.84515e-09 -5.57448e-10 -2.45224e-09 1.69272e-09 3.20561e-10 -7.93164e-10 -7.24721e-09
# precision: tgt 5.00e-03 max 2.30e-02 (459.1%) avg 2.06e-03 (41.2%)
5.83298e-01 2.67976e-03 -1.29955e-03 -6.05675e-04 3.60374e-06 -5.63284e-06 -6.90958e-07 -6.85760e-07 2.66743e-06 2.81959e-06 9.54468e-10 -6.18022e-09 -1.11694e-10 2.59510e-11 1.03378e-10 1.79725e-09 1.46472e-09 -5.38514e-11 -3.09889e-09 -3.83195e-09
# precision: tgt 5.00e-03 max 4.19e-03 (83.7%) avg 4.13e-04 (8.3%)
5.14008e+00 3.95438e-04 -2.97566e-04 -3.62294e-05 1.12749e-06 -1.32605e-06 -5.89784e-08 8.96796e-07 5.14884e-08 -1.86036e-06 3.91208e-10 -1.25062e-09 7.75766e-11 9.44965e-10 2.89498e-10 -1.87059e-10 -1.93068e-10 2.36327e-10 1.38860e-10 3.65294e-10

#cal5k_z14_q3
4 14 2 20
# precision: tgt 5.00e-03 max 7.16e-03 (143.3%) avg 1.33e-03 (26.6%)
-2.54521e-02 -1.79286e-04 -1.70851e-04 -8.36515e-04 2.31478e-07 -2.69150e-07 2.27870e-06 2.70087e-09 -4.08760e-07 4.41755e-06 2.75234e-10 3.12474e-10 -1.36137e-10 -2.12623e-10 -5.11559e-10 -3.02875e-09 1.88785e-10 -3.16686e-10 3.02887e-10 -8.51265e-09
# precision: tgt 5.00e-03 max 3.18e-02 (636.0%) avg 2.86e-03 (57.2%)
-5.12574e-01 -1.95751e-03 -2.41085e-03 -1.09609e-03 -5.01613e-07 -7.07675e-06 7.69286e-07 -2.34964e-06 2.88140e-06 7.67459e-06 1.98319e-09 -4.21216e-09 2.17731e-10 -4.76252e-09 9.03183e-10 -1.14540e-09 -1.83116e-10 7.46041e-10 -2.56707e-09 -1.54822e-08
# precision: tgt 5.00e-03 max 5.19e-03 (103.8%) avg 9.22e-04 (18.4%)
5.05027e+00 1.48847e-05 9.07450e-05 3.76374e-04 7.61884e-07 5.44390e-07 1.73938e-06 7.50877e-07 1.29577e-06 -1.35983e-06 3.14920e-10 6.25383e-10 7.54165e-10 7.49732e-10 1.48481e-09 -2.48437e-09 2.64757e-10 3.55753e-10 -1.72592e-09 -2.55769e-09

#cal5k_z14_q4
4 14 3 20
# precision: tgt 5.00e-03 max 1.60e-02 (320.0%) avg 3.22e-03 (64.3%)
5.83357e-01 -2.74640e-03 1.64397e-03 -1.34647e-03 4.49449e-06 -6.92984e-06 3.04363e-06 5.88336e-07 -1.22630e-06 5.44018e-06 -2.45653e-09 6.85968e-09 -5.01533e-10 -3.10531e-09 1.15786e-09 -2.45687e-09 -9.58214e-10 -2.77420e-10 1.95638e-09 -8.21580e-09
# precision: tgt 5.00e-03 max 3.16e-02 (631.4%) avg 4.06e-03 (81.2%)
-1.26691e+00 6.56962e-03 -4.00239e-03 1.19867e-03 -1.11094e-05 1.65921e-05 -1.27865e-06 -2.72251e-06 2.80348e-06 -4.40517e-06 5.75557e-09 -1.71585e-08 3.39726e-10 6.89046e-09 -8.12403e-10 2.11404e-09 1.05827e-10 1.78145e-10 -2.91630e-09 5.95609e-09
# precision: tgt 5.00e-03 max 5.12e-03 (102.4%) avg 6.48e-04 (13.0%)
5.02312e+00 2.45360e-04 -2.39525e-04 2.57947e-05 -3.00509e-08 9.71716e-07 -3.92505e-07 -1.18750e-07 4.49099e-07 -8.21777e-07 2.68390e-10 -9.14892e-10 4.66548e-10 8.30926e-10 -9.18902e-10 -2.75855e-10 -3.87310e-10 1.12289e-10 3.65435e-11 -1.42335e-09

#cal5k_z15_q1
4 15 0 20
# precision: tgt 5.00e-03 max 1.30e-02 (259.7%) avg 2.14e-03 (42.9%)
1.14207e+00 -5.72191e-03 -5.42107e-03 -1.20470e-04 9.65429e-06 1.93807e-05 9.47166e-07 8.11715e-06 2.63076e-07 9.46324e-08 -5.46828e-09 -1.67446e-08 4.64673e-10 -1.56700e-08 1.27208e-10 1.06312e-09 -3.81261e-09 4.84460e-11 -4.54187e-10 2.56800e-10
# precision: tgt 5.00e-03 max 2.52e-02 (503.5%) avg 2.58e-03 (51.5%)
1.31739e+00 -6.28339e-03 -4.77344e-03 -4.70171e-04 9.06906e-06 1.79814e-05 1.30410e-06 4.84708e-06 1.47875e-06 5.97911e-07 -3.60071e-09 -1.62055e-08 -3.00645e-10 -1.04394e-08 -6.77177e-10 -1.61864e-09 -1.15245e-09 2.52656e-10 9.01436e-10 2.56397e-10
# precision: tgt 5.00e-03 max 4.54e-03 (90.8%) avg 4.60e-04 (9.2%)
5.16513e+00 -4.66154e-04 -3.54025e-04 -2.50768e-04 1.21947e-06 1.40540e-06 4.05285e-07 9.46326e-07 1.83145e-07 -9.27160e-07 -5.09063e-10 -1.31383e-09 1.46622e-10 -1.09066e-09 5.33259e-11 -8.55149e-10 -1.62572e-10 2.47151e-10 -5.08853e-10 -5.64779e-10

#cal5k_z15_q2
4 15 1 20
# precision: tgt 5.00e-03 max 1.02e-02 (204.5%) avg 1.86e-03 (37.3%)
-7.94949e-01 -3.70425e-03 3.42990e-03 6.44930e-04 -6.28294e-06 1.23118e-05 9.25848e-07 -4.91632e-06 -9.40782e-08 -2.40261e-06 -3.51090e-09 1.07025e-08 -1.88508e-10 -9.48121e-09 -2.71177e-10 1.73929e-09 2.19392e-09 -1.22295e-10 -3.75306e-10 3.85946e-09
# precision: tgt 5.00e-03 max 2.35e-02 (469.5%) avg 2.15e-03 (43.1%)
5.02055e-01 2.80093e-03 -1.21528e-03 1.02300e-03 4.01731e-06 -6.40997e-06 7.34121e-07 -4.94036e-07 -1.44514e-07 -3.70313e-06 1.19176e-09 -6.90957e-09 2.19224e-11 5.70272e-10 1.78981e-10 -2.16788e-09 1.34577e-09 3.49219e-10 4.01499e-09 3.66920e-09
# precision: tgt 5.00e-03 max 5.11e-03 (102.3%) avg 4.72e-04 (9.4%)
5.13476e+00 2.75065e-04 -1.90130e-04 -1.75902e-04 7.61186e-07 -7.99570e-07 -2.85463e-07 5.97146e-07 2.07437e-07 -1.31833e-06 1.02474e-10 -7.01541e-10 1.35218e-10 4.74937e-10 5.41281e-11 6.40562e-10 5.20787e-11 2.77089e-10 -5.10974e-10 2.06192e-11

#cal5k_z15_q3
4 15 2 20
# precision: tgt 5.00e-03 max 8.35e-03 (167.1%) avg 1.35e-03 (27.1%)
-1.47049e-01 7.82096e-05 -1.53643e-04 9.84578e-04 3.98974e-07 -3.65074e-07 -3.34842e-07 -8.12136e-08 -1.13736e-06 -5.60738e-06 3.45115e-10 1.41342e-10 -1.04274e-09 -5.46593e-10 -1.61818e-09 2.02680e-09 3.90888e-11 -1.04704e-09 5.82857e-10 8.86103e-09
# precision: tgt 5.00e-03 max 3.17e-02 (634.2%) avg 2.97e-03 (59.3%)
-7.30507e-01 -2.29037e-03 -2.70170e-03 7.97663e-04 -7.83136e-07 -8.38753e-06 4.72113e-07 -2.90533e-06 1.36816e-06 -2.35316e-06 1.87016e-09 -5.24297e-09 -7.48966e-10 -6.09353e-09 -1.54928e-10 -1.58894e-09 -4.99056e-10 -2.11418e-10 -5.61885e-11 2.17283e-09
# precision: tgt 5.00e-03 max 5.48e-03 (109.5%) avg 9.42e-04 (18.8%)
4.98378e+00 -1.55645e-04 -2.45692e-05 7.30668e-04 3.51330e-07 -2.30197e-07 8.73118e-07 5.75674e-07 5.14002e-07 -3.70030e-06 7.33329e-11 -1.75254e-11 7.89881e-10 2.93501e-10 2.02594e-09 5.98092e-10 2.08120e-10 2.30346e-10 9.30194e-10 3.68458e-09

#cal5k_z15_q4
4 15 3 20
# precision: tgt 5.00e-03 max 1.58e-02 (315.1%) avg 3.21e-03 (64.2%)
6.49462e-01 -2.80490e-03 1.83502e-03 -1.35014e-03 4.63314e-06 -7.53401e-06 1.66734e-06 7.54582e-07 -1.06292e-06 4.57439e-06 -2.45576e-09 7.11789e-09 -4.76450e-10 -3.40372e-09 1.88152e-09 2.07941e-09 -9.27471e-10 -2.36508e-10 3.60915e-10 -7.11348e-09
# precision: tgt 5.00e-03 max 3.20e-02 (639.3%) avg 4.04e-03 (80.9%)
-1.32174e+00 6.54640e-03 -3.97448e-03 1.38013e-03 -1.09859e-05 1.66874e-05 -3.62168e-07 -2.53695e-06 1.86445e-06 -4.75783e-06 5.55738e-09 -1.67819e-08 6.47045e-10 6.58370e-09 -2.16738e-09 -2.16833e-09 3.63550e-10 2.68930e-10 1.27302e-09 8.24383e-09
# precision: tgt 5.00e-03 max 5.32e-03 (106.5%) avg 6.92e-04 (13.8%)
4.95428e+00 3.71984e-04 -3.23742e-04 5.44566e-04 -1.08430e-07 1.27275e-06 -5.81138e-07 -9.35025e-08 4.75037e-07 -2.98444e-06 2.64720e-10 -1.10053e-09 3.70011e-10 9.37963e-10 -1.10982e-09 -2.94135e-11 -3.08864e-10 -7.56034e-11 1.41262e-10 2.01280e-09

#cal5k_z16_q1
4 16 0 20
# precision: tgt 5.00e-03 max 1.47e-02 (294.0%) avg 2.18e-03 (43.5%)
1.34363e+00 -6.01247e-03 -5.49852e-03 -1.71083e-03 9.89817e-06 2.01212e-05 1.32510e-06 8.32284e-06 -8.66397e-07 6.00927e-06 -5.68895e-09 -1.76260e-08 1.40196e-09 -1.64326e-08 1.09480e-09 -5.22067e-10 -4.11187e-09 1.13966e-09 8.46769e-10 -7.26405e-09
# precision: tgt 5.00e-03 max 2.46e-02 (492.8%) avg 2.78e-03 (55.6%)
1.31168e+00 -6.87731e-03 -5.33778e-03 1.32926e-03 1.02088e-05 2.05996e-05 -6.11087e-07 5.57981e-06 2.27480e-07 -4.82304e-06 -4.30953e-09 -1.86728e-08 8.54310e-10 -1.26667e-08 5.88556e-10 1.03938e-09 -1.52744e-09 1.66593e-09 1.86845e-09 5.21097e-09
# precision: tgt 5.00e-03 max 4.23e-03 (84.6%) avg 4.56e-04 (9.1%)
5.38507e+00 5.15239e-04 2.67293e-04 -4.12139e-03 8.14916e-07 3.64082e-07 -4.94277e-06 4.38104e-07 -2.35704e-06 1.69386e-05 -1.62767e-10 -3.62135e-10 -3.28226e-10 -1.00885e-10 2.31772e-10 8.92242e-09 2.68438e-10 -9.92695e-11 4.01608e-09 -2.67466e-08

#cal5k_z16_q2
4 16 1 20
# precision: tgt 5.00e-03 max 1.09e-02 (217.5%) avg 1.98e-03 (39.7%)
-8.79192e-01 -4.47056e-03 4.11090e-03 -2.05181e-04 -7.51005e-06 1.51010e-05 5.58693e-07 -6.09329e-06 7.43338e-07 5.61789e-07 -4.22117e-09 1.32804e-08 -1.00118e-09 -1.18400e-08 3.27266e-10 1.56623e-09 2.94575e-09 -8.39107e-10 -1.38467e-09 3.56054e-10
# precision: tgt 5.00e-03 max 2.26e-02 (452.2%) avg 2.34e-03 (46.9%)
7.05317e-01 2.86899e-03 -1.33580e-03 -8.78173e-04 3.88821e-06 -6.53651e-06 8.05727e-07 -8.35822e-07 6.16908e-07 3.43787e-06 1.25763e-09 -7.17791e-09 1.45262e-09 6.35964e-10 -9.10836e-10 -5.48788e-10 1.52354e-09 1.60226e-09 9.84914e-10 -4.68618e-09
# precision: tgt 5.00e-03 max 4.63e-03 (92.5%) avg 5.28e-04 (10.6%)
5.85982e+00 -3.58692e-04 1.08491e-05 -8.88504e-03 8.52855e-07 -7.83689e-07 4.62964e-06 5.62214e-07 -1.32970e-06 3.38151e-05 2.47934e-11 -5.99134e-10 -4.04253e-10 2.97713e-10 5.59820e-11 -8.51532e-09 2.66180e-10 -1.91510e-10 2.38449e-09 -4.68099e-08

#cal5k_z16_q3
4 16 2 20
# precision: tgt 5.00e-03 max 7.27e-03 (145.4%) avg 1.48e-03 (29.6%)
-1.37855e-01 7.92461e-05 -2.56913e-04 4.18040e-04 3.95030e-07 -1.01782e-06 -1.29731e-06 -5.38693e-07 -2.14788e-06 -3.32758e-06 1.95998e-10 -7.06513e-10 -2.55854e-09 -1.54145e-09 -3.06753e-09 1.87098e-09 -5.18142e-10 -2.08368e-09 1.17606e-09 5.08039e-09
# precision: tgt 5.00e-03 max 3.16e-02 (633.0%) avg 3.19e-03 (63.7%)
-8.63073e-01 -2.70997e-03 -3.17079e-03 7.13068e-04 -1.01277e-06 -9.77224e-06 4.97204e-07 -3.16795e-06 1.63613e-06 -1.09089e-06 1.81180e-09 -5.86158e-09 -1.09980e-09 -6.94244e-09 9.02111e-10 -2.23132e-10 -3.53504e-10 -3.98372e-10 4.94241e-10 1.29882e-09
# precision: tgt 5.00e-03 max 4.64e-03 (92.8%) avg 6.02e-04 (12.0%)
5.19229e+00 -6.52470e-05 -3.99874e-04 -2.32732e-03 -3.79198e-07 -2.01186e-06 -4.02636e-06 1.28845e-07 -2.90024e-07 5.51690e-06 -2.86547e-10 -1.60673e-09 9.76389e-11 -1.21860e-09 1.33206e-09 8.96592e-09 -3.49744e-10 -1.92159e-09 4.44775e-10 -5.72538e-09

#cal5k_z16_q4
4 16 3 20
# precision: tgt 5.00e-03 max 1.51e-02 (301.7%) avg 3.22e-03 (64.3%)
3.74453e-01 -2.52603e-03 1.62782e-03 1.55428e-03 4.51482e-06 -7.86791e-06 -1.07460e-06 1.00823e-06 1.88298e-06 -3.96787e-06 -2.56987e-09 7.87987e-09 1.63101e-09 -4.25721e-09 -1.01899e-09 3.53652e-09 -5.15736e-10 1.22590e-09 -2.50852e-09 2.65868e-09
# precision: tgt 5.00e-03 max 3.05e-02 (610.5%) avg 4.09e-03 (81.8%)
-9.85547e-01 6.60712e-03 -4.01144e-03 -2.94599e-03 -1.10264e-05 1.69513e-05 2.28501e-07 -2.15183e-06 1.82896e-06 1.17581e-05 5.75654e-09 -1.70493e-08 -5.20956e-10 6.46285e-09 -1.82610e-09 -1.99203e-09 9.05503e-10 6.02964e-11 9.59982e-10 -1.32252e-08
# precision: tgt 5.00e-03 max 5.28e-03 (105.6%) avg 6.31e-04 (12.6%)
5.62320e+00 4.86540e-04 -2.73787e-04 -6.90725e-03 -1.99560e-07 1.60629e-06 6.74824e-08 2.79485e-07 -2.68719e-07 2.28704e-05 3.86489e-10 -1.63969e-09 -7.71248e-10 1.08812e-09 -2.62245e-10 -4.24699e-10 -4.13983e-10 -2.34885e-09 -4.13084e-10 -2.81392e-08

#cal5k_z17_q1
4 17 0 20
# precision: tgt 5.00e-03 max 1.36e-02 (271.8%) avg 2.28e-03 (45.7%)
1.11158e+00 -4.88960e-03 -4.36596e-03 -1.22245e-03 9.16341e-06 1.84038e-05 -3.04620e-06 7.57584e-06 -4.83126e-06 6.95120e-06 -5.71291e-09 -1.72545e-08 3.33355e-09 -1.57112e-08 3.91978e-09 4.16776e-09 -4.33259e-09 2.96376e-09 4.74929e-09 -9.85645e-09
# precision: tgt 5.00e-03 max 2.54e-02 (508.3%) avg 3.07e-03 (61.4%)
1.34480e+00 -7.12867e-03 -5.69161e-03 1.89383e-03 1.05629e-05 2.23000e-05 -1.92702e-06 6.09191e-06 -9.83034e-07 -5.49407e-06 -4.78295e-09 -2.01429e-08 2.58846e-09 -1.45357e-08 1.84365e-09 1.71749e-09 -1.89131e-09 3.13362e-09 2.72402e-09 4.73247e-09
# precision: tgt 5.00e-03 max 5.89e-03 (117.8%) avg 8.53e-04 (17.1%)
5.57801e+00 -5.59177e-04 -2.24138e-04 -4.84054e-03 6.07923e-07 -2.27483e-07 4.04294e-06 8.04768e-07 1.56014e-06 1.33381e-05 -5.21014e-10 -1.24882e-09 1.88450e-09 -1.32298e-09 5.65579e-09 -1.15148e-08 -3.85977e-10 1.44148e-09 -7.20178e-09 -1.24633e-08

#cal5k_z17_q2
4 17 1 20
# precision: tgt 5.00e-03 max 1.24e-02 (248.6%) avg 2.05e-03 (41.0%)
-9.06005e-01 -3.95164e-03 3.29617e-03 9.93162e-04 -7.24870e-06 1.45710e-05 -2.18892e-06 -5.51343e-06 4.60015e-06 -5.69273e-06 -4.47032e-09 1.40130e-08 -3.30197e-09 -1.20107e-08 3.54099e-09 3.04163e-09 3.16474e-09 -3.28260e-09 -4.59095e-09 8.38232e-09
# precision: tgt 5.00e-03 max 2.38e-02 (475.0%) avg 2.46e-03 (49.2%)
5.04428e-01 2.86532e-03 -1.13432e-03 1.44824e-03 3.53618e-06 -6.43782e-06 7.89744e-07 -1.32999e-06 -6.72469e-07 -4.44280e-06 1.30357e-09 -7.16923e-09 2.83964e-09 8.26148e-10 -2.08531e-09 5.10766e-10 1.71069e-09 3.26436e-09 1.86006e-09 4.29050e-09
# precision: tgt 5.00e-03 max 5.24e-03 (104.9%) avg 8.32e-04 (16.6%)
5.62006e+00 1.19674e-03 -6.66836e-04 -4.24151e-03 8.22544e-07 -1.84412e-07 -7.12367e-06 8.26899e-07 3.88815e-06 8.98774e-06 5.02724e-10 -1.41906e-09 1.41245e-09 1.35246e-09 -4.77030e-09 1.54723e-08 -3.72180e-10 1.37104e-09 -1.02888e-08 -5.85185e-09

#cal5k_z17_q3
4 17 2 20
# precision: tgt 5.00e-03 max 7.76e-03 (155.2%) avg 1.58e-03 (31.6%)
7.95411e-03 1.56450e-03 1.02863e-03 1.68030e-03 1.63519e-06 1.65841e-06 -5.43758e-06 3.44718e-07 -5.47567e-06 -1.02952e-05 1.25742e-10 -7.42372e-11 -5.67502e-09 -7.78612e-10 -7.79746e-09 3.76261e-09 -8.64347e-10 -4.40456e-09 2.58970e-09 1.32165e-08
# precision: tgt 5.00e-03 max 3.33e-02 (666.9%) avg 3.38e-03 (67.7%)
-6.58248e-01 -2.54931e-03 -3.85264e-03 -1.99965e-03 -6.18421e-07 -1.06149e-05 -1.69557e-06 -3.39397e-06 3.48625e-06 6.91462e-06 1.87957e-09 -6.00583e-09 -2.69912e-09 -7.77280e-09 5.42472e-10 2.42517e-09 -3.93355e-11 -4.67591e-10 -2.34260e-09 -6.26364e-09
# precision: tgt 5.00e-03 max 7.26e-03 (145.2%) avg 1.18e-03 (23.6%)
6.18032e+00 6.70314e-04 8.54084e-04 -1.00263e-02 -1.95401e-08 -1.12560e-06 -7.47641e-06 1.99240e-06 -5.09971e-06 2.58243e-05 -2.03413e-10 -1.57597e-09 -1.25847e-09 -1.01626e-10 -1.07493e-10 1.19316e-08 6.11852e-10 -4.77084e-09 5.57087e-09 -2.42842e-08

#cal5k_z17_q4
4 17 3 20
# precision: tgt 5.00e-03 max 1.55e-02 (310.1%) avg 3.21e-03 (64.2%)
1.96760e-01 -1.45411e-03 9.22545e-04 1.26579e-03 4.27319e-06 -7.31957e-06 -6.43200e-06 1.08878e-06 5.28223e-06 1.36794e-06 -3.16237e-09 8.98050e-09 4.72933e-09 -5.17512e-09 -5.52019e-09 7.33245e-09 2.43305e-10 3.30871e-09 -4.11615e-09 -5.24086e-09
# precision: tgt 5.00e-03 max 3.19e-02 (638.7%) avg 4.16e-03 (83.2%)
-8.48090e-01 6.46987e-03 -4.42809e-03 -4.36040e-03 -1.10005e-05 1.81054e-05 3.16280e-06 -2.32180e-06 1.77449e-06 1.29137e-05 5.92236e-09 -1.78644e-08 -2.28186e-09 7.64141e-09 -4.71096e-10 -4.93722e-09 1.19307e-09 -6.57854e-10 2.69249e-11 -1.11983e-08
# precision: tgt 5.00e-03 max 6.50e-03 (129.9%) avg 1.22e-03 (24.5%)
6.29960e+00 -3.64484e-05 1.78794e-04 -1.22214e-02 -5.19448e-07 2.35991e-06 5.39010e-06 1.18396e-06 -3.12637e-06 3.44799e-05 3.32986e-10 -2.08046e-09 -4.10055e-10 8.87080e-10 -1.61183e-09 -1.01924e-08 -5.78047e-12 -4.40951e-09 3.62512e-09 -3.43064e-08

#cal5k_z18_q1
4 18 0 20
# precision: tgt 5.00e-03 max 1.31e-02 (262.3%) avg 2.38e-03 (47.6%)
5.35871e-02 -3.46463e-03 -2.58687e-03 5.16625e-03 7.46453e-06 1.49734e-05 -5.26812e-06 5.75978e-06 -8.46535e-06 -9.06669e-06 -5.87174e-09 -1.71816e-08 8.18006e-09 -1.47861e-08 1.08485e-08 9.60259e-10 -4.69486e-09 7.36364e-09 4.03602e-09 6.12287e-09
# precision: tgt 5.00e-03 max 2.85e-02 (570.3%) avg 3.29e-03 (65.8%)
1.98386e+00 -6.68226e-03 -5.92035e-03 -3.36155e-03 9.45257e-06 2.20578e-05 -2.96721e-06 5.88333e-06 -1.71324e-08 9.41030e-06 -5.11888e-09 -2.05829e-08 6.71873e-09 -1.60403e-08 5.90438e-09 -8.97129e-10 -2.13983e-09 5.94704e-09 -1.89880e-09 -8.20392e-09
# precision: tgt 5.00e-03 max 7.12e-03 (142.4%) avg 1.42e-03 (28.5%)
7.90173e+00 9.41304e-04 2.04501e-04 -2.51491e-02 -3.69740e-07 -3.42920e-06 3.56320e-07 1.13617e-07 3.48687e-06 6.82424e-05 5.77479e-10 3.39910e-09 -2.29034e-09 2.59354e-09 1.18596e-10 -7.41845e-10 5.00401e-10 -2.27170e-09 -5.01476e-09 -6.45926e-08

#cal5k_z18_q2
4 18 1 20
# precision: tgt 5.00e-03 max 1.27e-02 (253.8%) avg 2.18e-03 (43.5%)
-1.01453e+00 -2.67240e-03 1.92434e-03 3.57452e-03 -6.23416e-06 1.23263e-05 -5.58754e-06 -4.23053e-06 7.58034e-06 -1.37590e-05 -4.88315e-09 1.47656e-08 -7.48248e-09 -1.17019e-08 9.39187e-09 2.42157e-09 3.66778e-09 -6.99493e-09 -3.77242e-09 1.42791e-08
# precision: tgt 5.00e-03 max 2.67e-02 (533.5%) avg 2.66e-03 (53.2%)
1.00380e+00 1.42107e-03 -4.60358e-04 -4.01888e-03 2.43398e-06 -5.72478e-06 6.87044e-06 -1.87152e-06 -3.63161e-06 1.39983e-05 1.61904e-09 -7.33833e-09 6.55613e-09 1.89297e-09 -6.01345e-09 -4.34466e-09 1.55476e-09 6.29914e-09 2.61348e-09 -1.47327e-08
# precision: tgt 5.00e-03 max 6.48e-03 (129.6%) avg 1.30e-03 (26.0%)
6.86312e+00 -1.05022e-03 7.88016e-04 -1.74421e-02 -5.42491e-07 3.96873e-06 -5.58372e-08 -2.81740e-07 1.22431e-06 4.89144e-05 -7.28129e-10 3.12029e-09 -1.74086e-09 -2.47603e-09 -2.47244e-09 1.53748e-09 4.97677e-10 -9.54656e-10 -3.89703e-09 -4.76193e-08

#cal5k_z18_q3
4 18 2 20
# precision: tgt 5.00e-03 max 9.04e-03 (180.7%) avg 1.87e-03 (37.4%)
5.38643e-01 3.37751e-03 2.66497e-03 -5.64990e-04 3.36526e-06 4.61119e-06 -9.64656e-06 1.10750e-06 -9.92227e-06 -4.93023e-06 -1.98631e-10 -5.39050e-12 -1.05289e-08 -5.36478e-10 -1.35678e-08 4.03828e-09 -1.86966e-09 -7.50824e-09 4.78817e-09 6.88921e-09
# precision: tgt 5.00e-03 max 3.83e-02 (766.3%) avg 3.91e-03 (78.1%)
-1.07198e+00 -2.43365e-03 -4.42837e-03 3.20108e-04 2.57771e-07 -1.20706e-05 -3.36627e-06 -4.01773e-06 2.61333e-06 1.10749e-08 2.07348e-09 -5.85476e-09 -4.86302e-09 -9.34056e-09 9.87476e-10 4.17968e-09 2.09048e-10 -5.24229e-10 -1.36553e-10 1.34958e-09
# precision: tgt 5.00e-03 max 1.32e-02 (263.4%) avg 2.22e-03 (44.4%)
4.05705e+00 -2.33350e-03 -1.02603e-03 3.25386e-03 -1.19445e-06 -4.00436e-06 3.86830e-06 3.08018e-06 3.20768e-06 -3.40797e-06 -6.59334e-10 -3.16487e-09 -9.57009e-10 6.83225e-11 4.69982e-09 -1.07043e-09 1.47626e-09 -6.18923e-09 -3.90882e-09 -2.06483e-09

#cal5k_z18_q4
4 18 3 20
# precision: tgt 5.00e-03 max 1.55e-02 (310.0%) avg 3.00e-03 (60.0%)
-1.25310e+00 -2.16849e-05 -9.34269e-04 1.05223e-02 2.98343e-06 -5.47018e-06 -1.01270e-05 6.53174e-07 1.25752e-05 -2.01092e-05 -3.76123e-09 9.90328e-09 9.98785e-09 -5.71461e-09 -1.15116e-08 6.10940e-09 1.23601e-09 6.37622e-09 -1.00237e-08 1.31791e-08
# precision: tgt 5.00e-03 max 3.43e-02 (686.6%) avg 4.47e-03 (89.5%)
-5.21788e-01 7.18627e-03 -5.65483e-03 -8.81160e-03 -1.07827e-05 2.09951e-05 2.59251e-06 -3.31280e-06 2.61727e-06 2.45237e-05 6.07494e-09 -1.87858e-08 -4.48352e-09 9.83704e-09 -1.76156e-09 -3.77331e-09 1.53358e-09 -2.12899e-10 3.94408e-10 -2.02592e-08
# precision: tgt 5.00e-03 max 1.43e-02 (285.6%) avg 2.06e-03 (41.2%)
4.86945e+00 2.88653e-03 -1.14273e-03 -3.61052e-03 -2.09287e-06 5.80718e-06 -4.09111e-06 2.36793e-06 1.53157e-06 1.41403e-05 1.04625e-09 -4.25558e-09 -1.40055e-10 9.75710e-10 -6.44475e-09 -1.06597e-10 1.00461e-09 -6.13835e-09 -9.32121e-10 -1.63896e-08

#cal5k_z19_q1
4 19 0 20
# precision: tgt 5.00e-03 max 1.61e-02 (322.9%) avg 2.88e-03 (57.5%)
1.68326e+00 -1.04741e-03 4.49379e-04 -1.03283e-02 4.89860e-06 8.71967e-06 -8.47064e-06 2.11712e-06 -1.27852e-05 3.05333e-05 -5.88364e-09 -1.59084e-08 1.30468e-08 -1.16615e-08 1.80507e-08 -6.56795e-10 -4.72298e-09 1.27908e-08 3.78545e-09 -2.56973e-08
# precision: tgt 5.00e-03 max 3.48e-02 (695.8%) avg 3.73e-03 (74.6%)
2.66932e+00 -3.31561e-03 -3.97028e-03 -1.09487e-02 5.74911e-06 1.74230e-05 -1.10682e-05 3.78268e-06 -3.87429e-06 2.98462e-05 -4.93481e-09 -1.78136e-08 1.26154e-08 -1.53885e-08 1.15063e-08 4.33798e-09 -1.98351e-09 1.03615e-08 -1.26666e-09 -2.53430e-08
# precision: tgt 5.00e-03 max 1.08e-02 (215.7%) avg 2.09e-03 (41.9%)
1.23335e+01 3.97809e-03 2.50094e-03 -5.88716e-02 -2.74227e-06 -1.07759e-05 -3.70859e-06 -1.23385e-06 1.35740e-06 1.44416e-04 1.83932e-09 8.48454e-09 -3.21750e-09 6.70361e-09 4.45752e-09 1.18122e-09 1.24876e-09 -3.86378e-09 -4.80569e-09 -1.18678e-07

#cal5k_z19_q2
4 19 1 20
# precision: tgt 5.00e-03 max 1.54e-02 (307.6%) avg 2.36e-03 (47.1%)
-4.03589e+00 -1.18221e-03 -1.83804e-03 2.83644e-02 -3.37482e-06 6.07215e-06 -4.39221e-06 -4.72783e-07 1.56057e-05 -7.40471e-05 -4.70463e-09 1.33550e-08 -1.28952e-08 -8.43391e-09 1.68645e-08 -4.91200e-09 3.45240e-09 -1.24275e-08 -7.78986e-09 6.09317e-08
# precision: tgt 5.00e-03 max 3.20e-02 (639.8%) avg 3.07e-03 (61.3%)
4.83573e+00 5.91392e-04 -3.49827e-04 -3.10214e-02 -1.24672e-06 -1.17889e-06 2.98073e-06 -4.19219e-06 1.45939e-06 7.32954e-05 1.14782e-09 -4.64056e-09 1.20856e-08 1.29806e-09 -1.20418e-08 5.07712e-09 1.75884e-09 1.13212e-08 -8.27969e-09 -5.62541e-08
# precision: tgt 5.00e-03 max 1.01e-02 (202.1%) avg 1.95e-03 (39.1%)
6.22613e+00 -3.82688e-03 2.83187e-03 -1.61931e-02 -3.46464e-06 1.23451e-05 1.22501e-06 -2.36744e-06 2.15534e-06 4.39172e-05 -2.39569e-09 9.58031e-09 -3.21746e-09 -8.32272e-09 -4.81661e-09 1.89929e-09 1.96734e-09 -3.54832e-09 -6.07100e-09 -3.97395e-08

#cal5k_z19_q3
4 19 2 20
# precision: tgt 5.00e-03 max 1.38e-02 (276.3%) avg 2.82e-03 (56.3%)
-1.15867e-01 8.24434e-03 7.13273e-03 1.12746e-02 8.41840e-06 1.34982e-05 -1.81591e-05 2.42922e-06 -2.09935e-05 -4.00128e-05 -1.16417e-10 2.29793e-09 -1.96885e-08 9.04699e-10 -2.64612e-08 3.87747e-09 -3.75008e-09 -1.14925e-08 1.12606e-08 3.65772e-08
# precision: tgt 5.00e-03 max 4.26e-02 (851.8%) avg 4.88e-03 (97.7%)
-1.77509e+00 -2.43060e-03 -7.38819e-03 3.05315e-03 3.19741e-07 -1.74117e-05 -8.69327e-06 -6.64844e-06 6.88196e-06 -8.05746e-06 1.98563e-09 -7.09246e-09 -6.51133e-09 -1.36726e-08 4.00600e-09 1.14627e-08 1.68608e-10 9.45447e-10 -2.51289e-09 1.03952e-08
# precision: tgt 5.00e-03 max 2.13e-02 (425.4%) avg 4.23e-03 (84.5%)
1.31190e+00 -2.75866e-03 -5.63550e-04 2.06911e-02 -2.20081e-06 -4.48286e-06 1.83179e-06 6.62378e-06 2.94581e-06 -4.21752e-05 -1.54178e-09 -5.00896e-09 -2.41487e-09 1.37794e-09 3.64705e-09 1.73719e-09 3.13610e-09 -1.13034e-08 -5.51882e-09 2.70359e-08

#cal5k_z19_q4
4 19 3 20
# precision: tgt 5.00e-03 max 1.97e-02 (393.1%) avg 2.47e-03 (49.4%)
-3.58433e+00 5.70353e-03 -5.12372e-03 1.89522e-02 -1.79367e-06 3.64912e-06 -2.28538e-05 -9.34284e-07 2.16688e-05 -3.07012e-05 -3.79172e-09 8.00903e-09 1.90495e-08 -4.49955e-09 -2.61773e-08 1.00617e-08 2.97527e-09 1.10446e-08 -1.25431e-08 1.82485e-08
# precision: tgt 5.00e-03 max 3.79e-02 (757.1%) avg 5.56e-03 (111.2%)
-1.34213e+00 7.12330e-03 -8.91383e-03 -4.82793e-03 -1.14653e-05 2.80064e-05 1.04058e-05 -6.79898e-06 6.10508e-06 1.07808e-05 6.59482e-09 -2.08268e-08 -5.78042e-09 1.47236e-08 -7.00945e-09 -1.52083e-08 1.31881e-09 2.58492e-09 6.15691e-10 -3.62486e-09
# precision: tgt 5.00e-03 max 2.29e-02 (458.2%) avg 4.02e-03 (80.4%)
8.05374e+00 2.93284e-03 -3.22451e-04 -2.64816e-02 -1.78230e-06 4.89795e-06 -3.03494e-06 6.38330e-06 1.37129e-06 6.77665e-05 7.00483e-10 -3.65308e-09 -6.29403e-10 -2.30609e-09 -8.13183e-09 -3.05819e-09 3.17341e-09 -9.84264e-09 -1.05195e-09 -5.70389e-08

#cal5k_z2_q1
4 2 0 20
# precision: tgt 5.00e-03 max 1.87e-02 (374.9%) avg 3.02e-03 (60.4%)
1.82585e+00 -7.28413e-03 -6.26576e-03 4.17696e-03 1.11409e-05 1.72857e-05 -6.01427e-06 5.69632e-06 -9.36377e-06 5.67294e-06 -3.56326e-09 -1.07570e-08 1.20234e-08 -8.39922e-09 1.14192e-08 9.55596e-10 1.41548e-09 8.53123e-09 -5.20678e-09 2.18821e-09
# precision: tgt 5.00e-03 max 2.39e-02 (478.6%) avg 2.36e-03 (47.1%)
-2.64671e-02 -4.30122e-03 -2.88561e-03 -4.27473e-03 5.99742e-06 6.78924e-06 -7.02540e-06 3.59106e-06 -3.54967e-06 -1.23390e-05 -4.26665e-11 -5.02440e-09 9.36948e-09 1.49007e-09 8.00707e-09 -3.05686e-09 5.63020e-10 1.17853e-08 1.74892e-09 -1.12560e-08
# precision: tgt 5.00e-03 max 8.65e-03 (172.9%) avg 1.69e-03 (33.9%)
4.89521e+00 1.40582e-03 9.43925e-04 3.00912e-03 -1.68368e-06 -7.41325e-06 -3.45835e-06 -7.68107e-07 -4.58660e-06 8.07766e-06 2.20394e-09 7.45800e-09 4.98608e-09 6.06546e-09 9.42217e-11 -4.40357e-09 1.89928e-09 5.24090e-09 -5.71410e-09 7.68786e-09

#cal5k_z2_q2
4 2 1 20
# precision: tgt 5.00e-03 max 1.12e-02 (224.6%) avg 2.06e-03 (41.2%)
-8.16490e-01 -2.13487e-03 2.31793e-03 -3.52685e-03 -2.61339e-06 2.04774e-06 -5.12822e-06 -1.20859e-06 8.51141e-06 -4.59237e-06 5.56045e-10 -3.20573e-09 -1.05687e-08 1.87576e-09 1.01293e-08 3.60738e-10 -2.38883e-09 -8.32281e-09 4.81249e-09 -1.17317e-09
# precision: tgt 5.00e-03 max 2.35e-02 (469.8%) avg 2.06e-03 (41.2%)
6.15853e-01 2.87247e-03 -1.77923e-03 1.69377e-03 2.97054e-06 -3.41261e-06 6.35396e-06 2.11016e-06 -2.49739e-06 2.08576e-06 -1.88979e-09 -1.64470e-09 8.28727e-09 -3.47990e-09 -6.95085e-09 3.24409e-09 1.33099e-09 1.13132e-08 2.35774e-09 6.82791e-11
# precision: tgt 5.00e-03 max 8.98e-03 (179.6%) avg 1.66e-03 (33.1%)
4.21414e+00 -2.35077e-03 1.74069e-03 -7.01295e-04 -2.15559e-06 8.34860e-06 6.16243e-07 -1.38208e-06 -2.38915e-06 1.09514e-06 -1.94268e-09 6.90674e-09 3.17937e-09 -6.17058e-09 2.70130e-09 3.20038e-09 2.03204e-09 4.14023e-09 -4.89065e-09 2.76868e-09

#cal5k_z2_q3
4 2 2 20
# precision: tgt 5.00e-03 max 8.29e-03 (165.7%) avg 1.40e-03 (28.1%)
-2.57566e-01 -2.18006e-03 -2.12698e-03 -1.28996e-04 -4.71105e-06 -3.89555e-06 -1.99412e-06 -2.43212e-06 -5.41207e-06 1.13284e-06 -8.27334e-10 -3.83349e-10 -1.11912e-08 -1.00184e-09 -7.32961e-09 3.99138e-09 1.75478e-09 -8.75118e-09 -1.46689e-09 1.80767e-09
# precision: tgt 5.00e-03 max 2.74e-02 (547.5%) avg 2.64e-03 (52.8%)
4.82196e-01 1.07372e-03 1.02672e-03 9.54462e-04 3.07861e-06 5.89725e-06 -4.07459e-06 1.81722e-07 -1.43795e-07 2.54644e-06 4.96423e-09 6.06456e-09 -6.69011e-09 8.33334e-09 -4.92440e-09 -2.52710e-09 7.02492e-10 -8.78197e-09 4.16667e-09 3.12069e-09
# precision: tgt 5.00e-03 max 1.25e-02 (250.8%) avg 1.92e-03 (38.4%)
4.65762e+00 -8.44268e-04 -3.22981e-04 5.79096e-04 4.20964e-07 -3.01444e-06 1.18405e-06 2.01631e-06 1.27958e-06 4.30529e-06 -1.28043e-09 -3.57539e-09 6.15280e-09 -1.84891e-09 -4.45914e-11 1.63943e-09 7.84788e-11 7.02720e-09 1.01592e-09 5.91680e-09

#cal5k_z2_q4
4 2 3 20
# precision: tgt 5.00e-03 max 1.97e-02 (393.8%) avg 3.25e-03 (64.9%)
2.18095e-01 -2.41537e-03 1.60876e-03 1.94494e-04 6.83898e-06 -4.72363e-06 3.42162e-07 1.42265e-06 3.87593e-06 5.77087e-07 -2.37072e-09 2.88791e-09 1.18036e-08 -5.71262e-10 -6.49533e-09 6.75495e-09 -2.72335e-09 8.45619e-09 3.23942e-10 4.45981e-10
# precision: tgt 5.00e-03 max 2.94e-02 (588.3%) avg 3.69e-03 (73.9%)
-3.15759e-01 6.74802e-03 -4.61412e-03 4.57280e-03 -1.23233e-05 1.65816e-05 3.81377e-06 -7.72668e-06 1.96823e-07 1.07590e-05 4.61742e-09 -1.60803e-08 -7.67958e-09 6.11789e-09 6.01843e-09 1.25728e-09 -2.82558e-09 -9.99149e-09 5.73217e-09 8.97383e-09
# precision: tgt 5.00e-03 max 1.23e-02 (246.8%) avg 2.10e-03 (42.0%)
4.71024e+00 3.72411e-04 -5.53508e-05 6.21705e-04 6.84489e-07 2.73091e-06 -2.85647e-06 1.98746e-06 2.70833e-06 3.38888e-06 1.12821e-09 -3.57949e-09 6.56365e-09 1.74621e-09 -1.10453e-09 -2.94354e-09 3.01680e-11 7.27655e-09 2.18535e-09 4.66519e-09

#cal5k_z20_q1
4 20 0 20
# precision: tgt 5.00e-03 max 1.95e-02 (390.8%) avg 3.26e-03 (65.2%)
-3.60100e-01 -8.86735e-04 1.01601e-03 2.94931e-03 1.93419e-06 2.88802e-06 -8.60020e-07 -2.78874e-07 -7.30867e-06 -3.80744e-06 -5.08951e-09 -1.24648e-08 1.54936e-08 -5.96075e-09 1.74867e-08 -1.04864e-08 -4.14226e-09 1.19441e-08 -1.04404e-09 2.94161e-09
# precision: tgt 5.00e-03 max 3.85e-02 (770.3%) avg 4.11e-03 (82.2%)
2.54232e+00 -4.32383e-03 -4.96897e-03 -7.60988e-03 2.45149e-06 1.12571e-05 1.78680e-06 -2.95648e-07 9.18460e-06 1.20548e-05 -3.54514e-09 -1.07858e-08 1.18301e-08 -1.12002e-08 1.01343e-08 -8.14961e-09 -3.88936e-10 1.38784e-08 -1.70533e-08 -5.27205e-09
# precision: tgt 5.00e-03 max 1.15e-02 (229.6%) avg 2.38e-03 (47.5%)
6.63170e+01 3.43968e-04 -7.73626e-04 -3.85906e-01 -9.11659e-07 -9.36705e-06 1.09364e-05 1.34048e-06 1.29954e-05 7.98879e-04 2.86762e-09 1.16284e-08 -1.12339e-08 9.26432e-09 -5.77560e-09 -8.70997e-09 2.09821e-09 -1.26612e-08 -1.04972e-08 -5.52244e-07

#cal5k_z20_q2
4 20 1 20
# precision: tgt 5.00e-03 max 2.06e-02 (411.3%) avg 2.61e-03 (52.1%)
-1.48277e+00 3.16597e-04 -2.22927e-03 9.94186e-03 -5.29618e-07 -5.09422e-07 -2.77050e-06 2.62260e-06 8.07304e-06 -2.39764e-05 -3.78821e-09 9.80166e-09 -1.50197e-08 -2.23207e-09 1.77108e-08 -8.32736e-09 2.43427e-09 -1.22562e-08 5.10162e-10 1.69343e-08
# precision: tgt 5.00e-03 max 3.82e-02 (763.5%) avg 3.49e-03 (69.7%)
2.07631e+00 -1.72267e-03 1.02400e-03 -1.20605e-02 -5.41387e-06 6.10867e-06 3.30609e-06 -8.49069e-06 5.04815e-06 2.41728e-05 -3.48958e-10 2.57610e-09 1.28430e-08 -3.20167e-09 -1.22911e-08 4.03630e-09 3.31147e-09 1.50602e-08 -1.40731e-08 -1.51769e-08
# precision: tgt 5.00e-03 max 1.05e-02 (210.1%) avg 2.26e-03 (45.2%)
5.99683e+01 3.77721e-05 -1.63934e-04 -3.46403e-01 -1.35496e-06 1.04374e-05 -1.34955e-05 6.74855e-07 1.17557e-05 7.16419e-04 -3.22891e-09 1.21519e-08 -1.11348e-08 -1.02520e-08 5.04468e-09 1.16913e-08 2.58146e-09 -1.25646e-08 -9.55497e-09 -4.94709e-07

#cal5k_z20_q3
4 20 2 20
# precision: tgt 5.00e-03 max 2.03e-02 (405.3%) avg 4.66e-03 (93.2%)
1.43919e+01 -1.58333e-03 -2.06547e-03 -9.23062e-02 9.27324e-06 1.22420e-05 2.73035e-05 1.32180e-06 1.92367e-05 2.06827e-04 3.26967e-10 5.08193e-09 -1.75714e-08 1.66916e-09 -1.55239e-08 -4.09586e-08 -6.55659e-09 -1.14620e-08 -2.82993e-08 -1.55611e-07
# precision: tgt 5.00e-03 max 4.94e-02 (987.6%) avg 6.45e-03 (129.0%)
1.05070e+01 -6.52183e-03 -8.63600e-03 -7.85965e-02 -1.34812e-06 -2.17561e-05 3.64998e-06 -5.75723e-06 8.24321e-06 1.68288e-04 1.13306e-09 -9.89847e-09 -6.47885e-09 -2.05923e-08 -6.35396e-10 -3.33900e-09 -5.34567e-10 -8.46826e-09 -1.08478e-08 -1.17805e-07
# precision: tgt 5.00e-03 max 2.95e-02 (589.3%) avg 6.48e-03 (129.6%)
4.76857e+01 1.05804e-03 4.30676e-03 -2.65865e-01 6.90626e-07 2.70974e-06 -6.96176e-06 9.78548e-06 -9.99125e-06 5.50385e-04 -1.70711e-09 -2.95420e-09 -7.69566e-09 7.16030e-09 -2.04674e-09 6.56816e-09 5.81603e-09 -9.45950e-09 8.27752e-09 -3.80702e-07

#cal5k_z20_q4
4 20 3 20
# precision: tgt 5.00e-03 max 1.56e-02 (312.0%) avg 2.48e-03 (49.6%)
-1.54734e+01 -8.08467e-03 5.96367e-03 1.05692e-01 1.86336e-08 -1.92168e-06 3.39029e-05 1.38117e-06 -2.24228e-05 -2.37680e-04 -4.37815e-09 8.14834e-09 1.49686e-08 -5.93003e-09 -1.24080e-08 -4.51585e-08 6.28037e-09 1.07824e-08 3.01251e-08 1.78200e-07
# precision: tgt 5.00e-03 max 4.01e-02 (802.3%) avg 7.20e-03 (144.1%)
1.19320e+01 1.17757e-02 -1.02674e-02 -9.12338e-02 -1.49677e-05 3.36905e-05 -2.06148e-06 -6.59388e-06 6.91899e-06 1.93063e-04 8.65184e-09 -2.65952e-08 -5.82053e-09 2.40039e-08 1.45817e-09 1.85930e-09 1.07359e-10 -7.84321e-09 -9.80305e-09 -1.34228e-07
# precision: tgt 5.00e-03 max 2.96e-02 (592.5%) avg 6.30e-03 (126.0%)
5.46204e+01 -9.64875e-04 4.79071e-03 -3.09164e-01 3.06339e-06 -5.03799e-06 2.48358e-06 1.08413e-05 -9.64023e-06 6.42192e-04 -5.47072e-10 1.27898e-09 -6.07374e-09 -1.00082e-08 -1.71941e-09 -4.00552e-09 6.51140e-09 -8.75053e-09 9.72331e-09 -4.44706e-07

#cal5k_z21_q1
4 21 0 20
# precision: tgt 5.00e-03 max 2.22e-02 (443.7%) avg 3.71e-03 (74.2%)
3.22276e+00 -7.04129e-03 -5.12499e-03 -1.37057e-02 6.56528e-06 3.98408e-06 2.02587e-05 1.97837e-06 1.68688e-05 1.88660e-05 -4.98122e-09 -1.19106e-08 5.88602e-09 -3.25153e-09 1.11940e-08 -2.67415e-08 -3.49979e-09 4.34245e-09 -2.14005e-08 -5.48867e-09
# precision: tgt 5.00e-03 max 3.90e-02 (780.9%) avg 4.03e-03 (80.7%)
5.41596e+00 -5.48010e-03 -9.85202e-03 -2.32031e-02 2.29804e-06 7.13626e-06 1.12490e-05 1.08521e-06 3.11412e-05 3.62442e-05 -9.64694e-10 -1.85110e-09 2.15751e-09 -4.58037e-09 3.84301e-10 -1.11925e-08 1.96958e-09 3.63911e-09 -3.22887e-08 -1.81856e-08
# precision: tgt 5.00e-03 max 1.67e-02 (333.9%) avg 1.71e-03 (34.1%)
-2.78992e+00 -5.55429e-03 -7.78592e-03 4.85477e-02 1.21909e-05 1.24431e-05 8.51765e-06 1.46256e-05 1.52071e-05 -9.72988e-05 4.17033e-10 2.21198e-09 -2.70477e-08 5.84367e-10 -2.75079e-08 6.66903e-09 -5.36834e-10 -2.92992e-08 6.43388e-10 6.02912e-08

#cal5k_z21_q2
4 21 1 20
# precision: tgt 5.00e-03 max 2.24e-02 (448.9%) avg 3.35e-03 (67.1%)
-3.68125e+00 -6.77509e-03 4.16287e-03 1.68247e-02 -4.03721e-06 -1.25261e-06 2.40789e-05 1.58486e-06 -1.92188e-05 -2.32110e-05 -3.49803e-09 8.49694e-09 -6.94609e-09 1.55927e-09 1.30887e-08 -3.13794e-08 1.28994e-09 -5.67821e-09 2.47900e-08 6.88601e-09
# precision: tgt 5.00e-03 max 3.58e-02 (715.8%) avg 3.54e-03 (70.7%)
3.77666e+00 -5.78296e-04 -3.65021e-03 -2.07409e-02 -5.85386e-06 1.21349e-05 -8.18380e-06 -8.29996e-06 2.91624e-05 3.29541e-05 -2.65015e-09 1.21168e-08 3.54566e-09 -1.12042e-08 -3.49395e-09 9.85066e-09 6.11908e-09 5.33264e-09 -3.21920e-08 -1.63861e-08
# precision: tgt 5.00e-03 max 1.42e-02 (285.0%) avg 1.53e-03 (30.7%)
-4.90659e+00 4.18171e-03 -6.79938e-03 5.93038e-02 1.09757e-05 -9.10842e-06 -6.50551e-06 1.28473e-05 1.53717e-05 -1.17239e-04 -8.93876e-10 3.84835e-09 -2.64620e-08 -2.89494e-09 2.54886e-08 -7.65447e-09 2.71201e-10 -2.85038e-08 -6.34434e-10 7.30266e-08

#cal5k_z21_q3
4 21 2 20
# precision: tgt 5.00e-03 max 1.92e-02 (384.0%) avg 5.29e-03 (105.7%)
3.49845e+00 3.77999e-03 2.81149e-03 -1.54618e-02 3.08299e-06 7.48023e-06 -2.46475e-06 -2.97359e-06 -6.07118e-06 2.75117e-05 -2.89115e-10 3.13030e-09 -7.39853e-09 4.61358e-10 -8.98082e-09 -4.64413e-09 -7.60023e-09 -4.94898e-09 1.49355e-09 -1.74680e-08
# precision: tgt 5.00e-03 max 6.75e-02 (1350.8%) avg 7.25e-03 (145.0%)
-3.12795e+00 -1.33064e-02 -1.25701e-02 6.78987e-04 -6.28500e-06 -2.68315e-05 2.37468e-05 -9.24286e-06 1.76344e-05 1.17999e-05 8.38837e-10 -8.79686e-09 3.75328e-09 -2.08287e-08 9.89707e-09 -1.60025e-08 5.36577e-10 -7.43987e-10 -1.42553e-08 -1.30034e-08
# precision: tgt 5.00e-03 max 4.73e-02 (945.0%) avg 8.13e-03 (162.5%)
-3.64053e+00 -3.10439e-04 2.41224e-03 5.16562e-02 1.95151e-06 1.05724e-05 8.33720e-06 9.55895e-06 6.13943e-06 -9.62118e-05 -1.06460e-09 2.08652e-09 -5.40102e-09 1.36379e-08 -2.50067e-09 -1.01613e-08 6.79683e-09 -2.38344e-09 -6.63380e-09 5.71444e-08

#cal5k_z21_q4
4 21 3 20
# precision: tgt 5.00e-03 max 2.46e-02 (491.7%) avg 2.98e-03 (59.6%)
-1.09686e+00 -2.82799e-03 1.61398e-03 7.93667e-03 8.50355e-06 -9.78436e-06 2.16049e-08 6.88646e-06 3.88257e-06 -1.42851e-05 -6.84005e-09 1.52536e-08 6.44136e-09 -1.09620e-08 -1.01432e-08 -6.87779e-09 8.20581e-09 5.63776e-09 1.46870e-09 9.98076e-09
# precision: tgt 5.00e-03 max 4.83e-02 (965.9%) avg 7.61e-03 (152.2%)
-2.19526e+00 1.30419e-02 -1.02009e-02 -2.22644e-03 -2.10148e-05 3.71054e-05 -1.43822e-06 -9.87161e-06 3.22895e-06 6.00936e-06 1.24035e-08 -3.33285e-08 -3.36510e-09 2.99144e-08 8.72597e-09 4.23914e-09 -4.32715e-10 -6.20063e-09 -9.68575e-09 -5.87108e-09
# precision: tgt 5.00e-03 max 4.55e-02 (910.7%) avg 7.55e-03 (151.0%)
-4.20976e-01 3.87984e-03 -1.51502e-03 2.83687e-02 3.41419e-06 -6.43065e-06 -2.06620e-05 7.77542e-06 1.58306e-05 -4.49573e-05 -2.93214e-09 9.12638e-09 2.33044e-09 -1.65982e-08 -1.68783e-08 1.17202e-08 7.31296e-09 3.36455e-09 -6.37050e-09 2.42060e-08

#cal5k_z3_q1
4 3 0 20
# precision: tgt 5.00e-03 max 1.77e-02 (353.1%) avg 2.90e-03 (58.0%)
9.47455e-01 -5.58488e-03 -4.09384e-03 2.84747e-04 8.69933e-06 1.33522e-05 -3.25209e-06 3.42638e-06 -4.79159e-06 -1.35691e-06 -3.00897e-09 -1.00140e-08 7.51584e-09 -6.49694e-09 5.97224e-09 -5.41857e-12 1.36532e-09 4.83885e-09 -3.39508e-09 -2.90791e-09
# precision: tgt 5.00e-03 max 2.10e-02 (420.0%) avg 2.15e-03 (43.0%)
3.19569e-01 -2.06435e-03 -1.46557e-03 1.50902e-04 2.94201e-06 2.72327e-06 -2.49023e-06 7.86495e-07 -2.01245e-06 1.39063e-08 5.93366e-10 -2.10715e-09 5.53364e-09 3.14456e-09 4.23891e-09 -4.23782e-10 1.62234e-09 7.74509e-09 5.00338e-10 -5.95245e-10
# precision: tgt 5.00e-03 max 6.63e-03 (132.7%) avg 1.20e-03 (24.0%)
4.83205e+00 1.33504e-03 1.10173e-03 1.96014e-03 -1.40845e-06 -5.64735e-06 -1.41264e-06 -7.63174e-07 -1.93578e-06 6.21553e-06 1.21069e-09 4.77280e-09 1.66906e-09 3.87411e-09 -2.20865e-09 -3.92157e-09 1.02656e-09 2.02662e-09 -4.40891e-09 6.54171e-09

#cal5k_z3_q2
4 3 1 20
# precision: tgt 5.00e-03 max 1.10e-02 (219.5%) avg 2.02e-03 (40.5%)
-3.22080e-01 -9.62227e-04 6.45223e-04 -1.92877e-03 -6.52669e-07 -1.40031e-06 -4.00976e-06 1.05304e-06 6.05033e-06 -2.31728e-06 8.32973e-10 -3.48188e-09 -6.28273e-09 3.66662e-09 4.93251e-09 -2.56273e-09 -2.43831e-09 -4.71497e-09 5.58414e-09 8.12595e-10
# precision: tgt 5.00e-03 max 2.04e-02 (408.0%) avg 1.91e-03 (38.1%)
1.21067e-01 7.84298e-04 -6.65680e-04 -7.47129e-05 5.02987e-07 -4.66664e-07 9.53638e-07 -1.53041e-07 -9.57816e-07 2.41764e-07 -2.12460e-09 1.87988e-10 4.29830e-09 -4.13464e-09 -3.09020e-09 -3.72078e-10 1.98654e-09 7.11247e-09 1.04955e-09 -8.19346e-11
# precision: tgt 5.00e-03 max 5.34e-03 (106.8%) avg 1.13e-03 (22.7%)
4.64148e+00 -1.66662e-03 1.25025e-03 6.65804e-04 -1.54627e-06 5.47249e-06 4.95005e-08 -8.74234e-07 -1.21278e-06 3.58091e-06 -1.06348e-09 3.92505e-09 5.55177e-10 -3.51454e-09 3.58940e-09 3.44580e-09 1.00869e-09 1.42701e-09 -4.44874e-09 4.42231e-09

#cal5k_z3_q3
4 3 2 20
# precision: tgt 5.00e-03 max 6.46e-03 (129.2%) avg 1.28e-03 (25.5%)
3.41387e-01 -1.17771e-03 -8.20263e-04 3.49713e-03 -2.37965e-06 -1.07109e-06 -1.00231e-06 -2.60768e-07 -3.42970e-06 1.01554e-05 1.03849e-10 7.50695e-10 -7.69106e-09 1.18591e-09 -4.91369e-09 2.94291e-09 2.02735e-09 -5.85672e-09 -8.71826e-10 9.59035e-09
# precision: tgt 5.00e-03 max 2.78e-02 (556.8%) avg 2.61e-03 (52.2%)
6.86041e-01 1.90046e-03 1.61252e-03 2.25160e-03 4.49904e-06 7.61027e-06 -2.59802e-06 2.12881e-06 2.47916e-07 6.05734e-06 4.74922e-09 7.19172e-09 -3.86688e-09 8.55215e-09 -2.26065e-09 -2.62107e-09 1.61379e-09 -5.34065e-09 2.23266e-09 6.63829e-09
# precision: tgt 5.00e-03 max 1.07e-02 (214.4%) avg 1.55e-03 (31.1%)
4.70285e+00 -7.06072e-04 -2.35733e-04 1.32372e-04 2.35975e-07 -2.16537e-06 1.04707e-06 1.79221e-06 8.42925e-07 2.38194e-06 -6.79923e-10 -2.47351e-09 3.86256e-09 -6.90157e-10 -7.60752e-10 2.32075e-09 5.27298e-10 4.80170e-09 1.27257e-09 3.93491e-09

#cal5k_z3_q4
4 3 3 20
# precision: tgt 5.00e-03 max 1.73e-02 (345.9%) avg 3.14e-03 (62.9%)
7.89961e-01 -2.34270e-03 1.08903e-03 4.45627e-03 4.50136e-06 -2.56596e-06 -2.42980e-06 -5.29484e-07 4.77495e-06 1.01231e-05 -1.34381e-09 1.97499e-09 8.12752e-09 1.49257e-09 -4.85831e-09 1.29403e-09 -3.07756e-09 6.01972e-09 2.72888e-09 7.50519e-09
# precision: tgt 5.00e-03 max 2.91e-02 (582.6%) avg 3.67e-03 (73.5%)
-1.51919e+00 6.81349e-03 -4.75714e-03 -3.59910e-03 -1.10605e-05 1.50321e-05 6.59283e-06 -5.66237e-06 -3.21577e-06 -6.69475e-06 4.76543e-09 -1.43485e-08 -5.94371e-09 5.10421e-09 6.01826e-09 4.93549e-09 -1.67083e-09 -7.47812e-09 7.14201e-10 -3.61667e-09
# precision: tgt 5.00e-03 max 1.07e-02 (215.0%) avg 1.77e-03 (35.3%)
4.54226e+00 6.62353e-04 -3.61416e-04 -7.24071e-04 4.52758e-07 2.54161e-06 -1.37845e-06 1.66125e-06 1.17208e-06 1.13142e-07 6.50359e-10 -2.93743e-09 4.76256e-09 1.07523e-09 -1.21634e-10 -1.99707e-09 3.18383e-10 5.50402e-09 1.13380e-09 2.06886e-09

#cal5k_z4_q1
4 4 0 20
# precision: tgt 5.00e-03 max 1.75e-02 (349.6%) avg 2.74e-03 (54.8%)
-1.76908e+00 -4.25828e-03 -3.45197e-03 -2.41133e-02 6.84333e-06 1.12042e-05 -3.44499e-07 2.12343e-06 -4.65287e-06 -7.70843e-05 -2.45369e-09 -8.62525e-09 4.73713e-09 -4.38161e-09 6.18050e-09 2.30516e-09 1.54795e-09 3.92096e-09 -2.39730e-09 -8.02211e-08
# precision: tgt 5.00e-03 max 2.11e-02 (421.7%) avg 2.27e-03 (45.4%)
-2.27007e+00 -1.00160e-03 3.13567e-04 -2.26481e-02 6.28041e-07 -2.79220e-07 -2.00923e-06 -1.84253e-06 2.23209e-06 -7.04018e-05 1.21538e-09 3.34199e-10 2.74785e-09 4.64481e-09 2.12460e-09 -1.64133e-09 2.34329e-09 2.93123e-09 2.52814e-09 -7.32625e-08
# precision: tgt 5.00e-03 max 5.64e-03 (112.8%) avg 8.84e-04 (17.7%)
2.78516e+00 -4.04813e-04 1.04689e-04 -2.13333e-02 -6.67700e-08 -1.36483e-06 -4.89459e-06 1.26534e-07 -1.52763e-06 -6.98148e-05 1.16706e-10 4.84895e-10 -1.04190e-09 -9.15744e-11 -3.94171e-09 -1.12590e-08 1.26433e-11 -1.40751e-09 -6.07325e-09 -7.46449e-08

#cal5k_z4_q2
4 4 1 20
# precision: tgt 5.00e-03 max 1.13e-02 (225.6%) avg 2.00e-03 (40.0%)
8.82620e-01 -4.69001e-05 1.92575e-04 9.06772e-03 7.47061e-07 -2.80801e-06 -1.50240e-06 2.06947e-06 6.06991e-06 3.25270e-05 1.23082e-09 -4.06175e-09 -3.51785e-09 5.15191e-09 4.55962e-09 -5.29880e-10 -2.60357e-09 -3.88583e-09 5.49489e-09 3.68496e-08
# precision: tgt 5.00e-03 max 1.99e-02 (398.8%) avg 2.09e-03 (41.9%)
-1.25273e+00 7.23709e-04 4.41074e-04 -1.29118e-02 -4.14575e-09 2.49975e-07 1.51349e-06 -1.55263e-06 3.23295e-06 -3.98935e-05 -1.74721e-09 1.41908e-10 2.30032e-09 -3.43132e-09 -1.02947e-10 1.90177e-09 1.92569e-09 2.22782e-09 2.83092e-09 -4.21466e-08
# precision: tgt 5.00e-03 max 4.34e-03 (86.7%) avg 7.08e-04 (14.2%)
1.72479e+00 -1.11296e-04 8.54325e-04 -3.03533e-02 -3.15765e-08 1.87240e-06 2.32182e-06 -3.49842e-07 1.83416e-06 -9.59016e-05 -2.62339e-10 9.43639e-10 1.33318e-10 -1.16800e-09 2.59650e-09 5.54455e-09 6.89219e-10 -7.73717e-11 6.71146e-10 -9.91073e-08

#cal5k_z4_q3
4 4 2 20
# precision: tgt 5.00e-03 max 5.16e-03 (103.1%) avg 1.19e-03 (23.8%)
1.65892e+00 -8.40263e-04 -6.54904e-04 1.70764e-02 -1.12916e-06 -6.26747e-07 -1.06162e-06 7.30448e-07 -4.39079e-06 5.63057e-05 4.57394e-10 1.15200e-09 -5.23531e-09 2.05856e-09 -6.18755e-09 2.02372e-09 1.82695e-09 -3.76726e-09 -2.52612e-09 5.98442e-08
# precision: tgt 5.00e-03 max 2.61e-02 (521.9%) avg 2.51e-03 (50.1%)
1.77180e+00 2.01014e-03 2.58932e-03 1.29465e-02 5.06059e-06 8.77514e-06 -3.05803e-06 4.02138e-06 3.10118e-06 4.08036e-05 4.59308e-09 7.36088e-09 -2.06007e-09 7.94182e-09 2.56885e-09 -5.88390e-09 2.09624e-09 1.64764e-10 4.23924e-10 4.52796e-08
# precision: tgt 5.00e-03 max 7.96e-03 (159.2%) avg 1.20e-03 (24.0%)
1.76743e+00 -7.17548e-04 -1.96662e-05 -2.92523e-02 -2.49022e-07 -2.27416e-06 4.22420e-07 1.18724e-06 2.11885e-06 -9.20214e-05 -2.07552e-10 -1.97659e-09 1.05345e-09 -9.54019e-10 -1.20969e-09 1.52639e-09 1.71456e-10 4.19613e-09 2.11095e-09 -9.41348e-08

#cal5k_z4_q4
4 4 3 20
# precision: tgt 5.00e-03 max 1.51e-02 (301.2%) avg 3.08e-03 (61.5%)
-3.38490e+00 -1.32379e-03 3.67922e-04 -3.32774e-02 3.03048e-06 -2.09992e-06 8.58049e-07 -1.91350e-06 2.77124e-06 -1.04234e-04 -1.06910e-09 1.71643e-09 4.64476e-09 2.49239e-09 -5.88058e-09 3.80794e-09 -3.02554e-09 3.19018e-09 3.50378e-10 -1.07299e-07
# precision: tgt 5.00e-03 max 2.80e-02 (559.1%) avg 3.87e-03 (77.3%)
2.35730e+00 4.67747e-03 -1.99581e-03 2.86242e-02 -8.61536e-06 1.04642e-05 1.86265e-06 -2.01702e-06 3.54242e-06 8.83449e-05 4.49334e-09 -1.23976e-08 -1.50952e-09 3.85004e-09 -1.97837e-09 4.47095e-09 -7.26324e-10 6.44812e-11 1.16970e-09 9.32708e-08
# precision: tgt 5.00e-03 max 8.21e-03 (164.2%) avg 1.35e-03 (27.0%)
1.25814e+00 4.71459e-04 2.55659e-04 -3.42944e-02 -5.32050e-07 2.06134e-06 -1.97969e-06 1.39456e-06 3.24750e-06 -1.08260e-04 3.03143e-10 -2.28383e-09 4.78758e-10 9.82179e-10 -1.05676e-10 -4.03724e-09 1.18445e-10 5.01787e-09 2.53645e-09 -1.10810e-07

#cal5k_z5_q1
4 5 0 20
# precision: tgt 5.00e-03 max 1.67e-02 (333.9%) avg 2.65e-03 (53.0%)
6.67577e-01 -3.67236e-03 -2.35258e-03 -1.73225e-04 5.85960e-06 9.28388e-06 2.05682e-07 9.06774e-07 -1.62706e-06 -1.88830e-06 -2.43292e-09 -8.20969e-09 2.17336e-09 -3.39191e-09 3.30594e-09 7.28038e-10 1.64675e-09 1.65629e-09 4.62381e-11 -2.16920e-09
# precision: tgt 5.00e-03 max 1.92e-02 (383.4%) avg 2.19e-03 (43.8%)
7.91486e-02 -8.69863e-04 1.39896e-05 -1.57053e-03 5.49732e-07 4.00671e-07 3.87388e-07 -2.10304e-06 1.82644e-06 -5.07380e-06 7.95785e-10 -6.66343e-10 1.17481e-10 3.58949e-09 -2.24553e-10 -8.46058e-11 2.33869e-09 5.28436e-10 -1.23076e-10 -6.23727e-09
# precision: tgt 5.00e-03 max 5.07e-03 (101.3%) avg 4.70e-04 (9.4%)
5.70577e+00 2.62878e-05 -1.32436e-05 6.57110e-03 3.10403e-07 7.16914e-08 3.81748e-07 3.51520e-07 -9.63186e-08 2.16507e-05 1.49073e-10 1.97548e-11 -4.74014e-10 1.06531e-10 -3.31853e-10 -4.78873e-10 3.65075e-10 2.24553e-10 -4.28018e-10 2.69882e-08

#cal5k_z5_q2
4 5 1 20
# precision: tgt 5.00e-03 max 1.14e-02 (228.8%) avg 1.92e-03 (38.4%)
-3.12409e-02 4.38296e-04 -8.08675e-04 -1.00709e-03 1.13636e-06 -3.62327e-06 3.84453e-07 2.84731e-06 1.93812e-06 -2.32858e-06 1.02953e-09 -3.36125e-09 -8.44060e-10 5.10880e-09 6.87215e-10 -1.42206e-09 -2.40405e-09 -9.82275e-10 3.01191e-09 -9.94492e-10
# precision: tgt 5.00e-03 max 1.86e-02 (371.5%) avg 1.95e-03 (38.9%)
3.38696e-01 1.37827e-03 -6.34442e-04 9.50041e-05 6.59365e-07 -1.98461e-06 1.82468e-06 -9.93503e-07 5.02747e-07 -1.03592e-06 -1.09243e-09 -1.50903e-09 9.50533e-10 -1.60604e-09 -3.43760e-10 2.77554e-09 1.61641e-09 9.66252e-10 -1.56006e-09 -3.08723e-09
# precision: tgt 5.00e-03 max 4.77e-03 (95.4%) avg 5.37e-04 (10.7%)
5.28687e+00 2.63892e-04 -1.05389e-04 1.58484e-03 9.04491e-07 -6.09845e-07 2.79687e-07 4.57424e-07 -6.26879e-08 3.07841e-06 1.49276e-10 -6.10237e-10 4.50833e-10 8.61365e-11 -1.07038e-10 1.33024e-10 2.59582e-10 1.59457e-10 -5.44744e-11 4.40838e-09

#cal5k_z5_q3
4 5 2 20
# precision: tgt 5.00e-03 max 4.52e-03 (90.4%) avg 1.07e-03 (21.4%)
4.50022e-02 6.43782e-06 3.65766e-04 2.72119e-04 2.76360e-07 1.79328e-06 -3.88950e-07 1.70003e-06 -2.16497e-06 2.70403e-06 6.21173e-10 1.93753e-09 -2.05324e-09 3.11475e-09 -2.54264e-09 -8.00060e-10 1.70461e-09 -1.83558e-09 -1.77232e-09 4.45268e-09
# precision: tgt 5.00e-03 max 2.63e-02 (525.1%) avg 2.56e-03 (51.2%)
2.57040e-01 1.92666e-03 1.64300e-03 -1.95520e-04 4.88142e-06 6.76327e-06 -6.64038e-07 3.25698e-06 1.35356e-06 -1.13781e-06 4.41401e-09 6.55595e-09 -1.12160e-09 6.32194e-09 1.59623e-09 -1.98431e-09 2.12056e-09 -5.06053e-11 -1.56605e-09 5.03742e-11
# precision: tgt 5.00e-03 max 5.12e-03 (102.5%) avg 6.49e-04 (13.0%)
4.99352e+00 -4.05157e-04 -6.00987e-04 7.45004e-04 -2.54850e-07 -2.11030e-06 1.65727e-06 1.06327e-07 -8.55346e-07 1.73802e-06 -1.74165e-10 -1.44448e-09 -3.88771e-11 -1.13649e-09 -2.13219e-09 4.94731e-09 -3.30227e-10 1.75032e-09 -7.63649e-10 2.74507e-09

#cal5k_z5_q4
4 5 3 20
# precision: tgt 5.00e-03 max 1.38e-02 (276.9%) avg 2.90e-03 (58.1%)
1.48005e-01 -1.11630e-03 -2.15961e-04 4.44150e-04 2.57401e-06 -9.78290e-07 3.21387e-07 -2.32080e-06 1.25140e-06 8.84332e-07 -1.34961e-09 1.85632e-09 2.68360e-09 2.80605e-09 -3.76480e-09 1.34459e-09 -2.68603e-09 1.97753e-09 -8.96475e-10 1.75728e-09
# precision: tgt 5.00e-03 max 2.73e-02 (546.4%) avg 3.87e-03 (77.3%)
-6.60352e-01 4.02566e-03 -2.09785e-03 2.99764e-04 -7.97841e-06 1.04331e-05 -2.40835e-06 -1.52550e-06 3.44338e-06 -2.11243e-06 4.11907e-09 -1.12805e-08 -1.30943e-09 3.08421e-09 5.23987e-10 -4.81168e-09 1.55323e-10 -7.61205e-10 3.92949e-09 -5.70279e-09
# precision: tgt 5.00e-03 max 5.09e-03 (101.8%) avg 6.83e-04 (13.7%)
5.75092e+00 -5.40515e-06 -1.40242e-04 8.18211e-03 -1.48695e-07 1.79245e-06 -3.91368e-06 1.68040e-07 1.97484e-06 2.63304e-05 3.38654e-10 -1.93031e-09 1.19736e-09 1.44836e-09 -7.09512e-10 -6.62527e-09 -4.19118e-10 2.59478e-09 1.88294e-09 3.15090e-08

#cal5k_z6_q1
4 6 0 20
# precision: tgt 5.00e-03 max 1.75e-02 (350.6%) avg 2.44e-03 (48.8%)
8.47993e-01 -4.16033e-03 -2.70494e-03 1.31721e-03 6.49851e-06 1.04566e-05 -1.43521e-06 1.79253e-06 -1.85791e-06 3.15753e-06 -3.04688e-09 -9.72988e-09 1.21511e-09 -4.98522e-09 1.86731e-09 -4.22974e-09 7.10890e-10 7.67469e-10 -2.06615e-09 2.27993e-09
# precision: tgt 5.00e-03 max 2.09e-02 (417.1%) avg 2.08e-03 (41.6%)
3.35958e-01 -1.17985e-03 -2.93052e-04 7.27660e-04 8.71436e-07 1.00573e-06 -7.82749e-07 -1.88777e-06 6.72393e-07 2.40046e-06 4.89142e-10 -1.19713e-09 -9.78676e-11 2.89038e-09 -3.49611e-10 -2.36277e-09 2.17687e-09 -2.53284e-11 -2.65451e-09 1.81571e-09
# precision: tgt 5.00e-03 max 5.89e-03 (117.9%) avg 5.48e-04 (11.0%)
5.07364e+00 -8.42605e-05 -1.93173e-04 -3.64563e-04 8.20710e-07 8.14063e-07 1.61728e-06 7.56127e-07 -7.93808e-08 -2.72052e-06 -6.47320e-11 -6.44156e-10 2.42915e-10 -5.75120e-10 4.46373e-11 3.82799e-09 3.40955e-11 2.06229e-10 -1.24555e-10 -1.33249e-09

#cal5k_z6_q2
4 6 1 20
# precision: tgt 5.00e-03 max 1.15e-02 (230.7%) avg 1.90e-03 (38.0%)
-3.44570e-02 4.24641e-04 -9.59477e-04 -1.44668e-03 1.06167e-06 -3.55179e-06 4.19877e-07 2.92177e-06 1.24701e-06 -5.07757e-06 8.51043e-10 -3.00543e-09 -1.97477e-10 5.07596e-09 7.03235e-10 -1.64022e-09 -2.19239e-09 -3.36354e-10 2.00519e-09 -6.18720e-09
# precision: tgt 5.00e-03 max 2.11e-02 (422.1%) avg 1.87e-03 (37.4%)
4.61187e-01 1.37667e-03 -8.17840e-04 1.39794e-03 1.05279e-06 -3.07049e-06 -5.09313e-07 -6.01290e-07 1.57955e-06 6.55754e-06 -7.06166e-10 -2.49339e-09 3.20945e-11 -4.15893e-10 3.11275e-10 -1.11147e-09 1.29973e-09 -1.39406e-10 -2.76190e-10 1.03482e-08
# precision: tgt 5.00e-03 max 7.00e-03 (140.0%) avg 6.11e-04 (12.2%)
5.04824e+00 -8.92076e-05 1.29591e-06 -1.68768e-04 7.02683e-07 -2.91834e-07 -1.81274e-06 5.55637e-07 3.65820e-07 -1.11922e-06 4.69462e-11 -4.79686e-10 2.11573e-10 2.30410e-10 9.36968e-10 -3.64453e-09 7.18836e-11 -6.06632e-11 -2.52956e-10 9.67716e-10

#cal5k_z6_q3
4 6 2 20
# precision: tgt 5.00e-03 max 5.34e-03 (106.8%) avg 9.36e-04 (18.7%)
9.54755e-02 6.04694e-04 9.30074e-04 -2.98617e-04 1.24819e-06 3.27585e-06 7.49671e-07 2.34262e-06 -8.64735e-07 -5.18988e-07 1.01693e-09 2.83892e-09 -5.14115e-10 4.01626e-09 -9.66711e-10 -6.13071e-10 1.78480e-09 -8.52495e-10 -7.35418e-10 -1.59191e-10
# precision: tgt 5.00e-03 max 2.77e-02 (554.4%) avg 2.56e-03 (51.2%)
5.27611e-02 1.64837e-03 1.24404e-03 -1.65136e-03 4.74076e-06 5.51080e-06 -4.66492e-07 2.93703e-06 1.21622e-06 -7.31951e-06 4.28245e-09 5.97448e-09 -3.51115e-10 5.35335e-09 8.99069e-10 -1.47071e-09 2.17572e-09 1.63453e-10 -1.34118e-09 -9.54013e-09
# precision: tgt 5.00e-03 max 6.04e-03 (120.8%) avg 9.37e-04 (18.7%)
5.09120e+00 6.56637e-05 1.93640e-04 6.13908e-04 8.20344e-07 3.33986e-07 6.90285e-07 1.16601e-06 1.95116e-07 1.27393e-06 6.62342e-10 8.01297e-10 -1.11050e-09 1.15825e-09 -2.54489e-09 5.20093e-09 5.88754e-10 3.10645e-10 2.64763e-09 6.82839e-10

#cal5k_z6_q4
4 6 3 20
# precision: tgt 5.00e-03 max 1.62e-02 (324.1%) avg 2.87e-03 (57.5%)
1.49120e-01 -1.07395e-03 -2.47485e-04 5.87626e-04 2.38907e-06 -1.04387e-06 5.04676e-07 -1.96467e-06 1.85690e-07 2.33636e-06 -1.49916e-09 2.51313e-09 7.68852e-10 1.98010e-09 -1.02018e-09 -1.23830e-09 -2.11694e-09 8.23247e-10 -8.10215e-10 3.47950e-09
# precision: tgt 5.00e-03 max 2.76e-02 (552.0%) avg 3.64e-03 (72.8%)
-8.22652e-01 4.15566e-03 -2.13589e-03 -1.31176e-03 -7.23131e-06 9.24559e-06 1.36516e-06 -6.10116e-07 2.83412e-07 -4.80478e-06 3.83877e-09 -1.00697e-08 -9.89018e-10 1.97480e-09 1.23205e-09 1.61241e-09 9.32167e-10 -8.32699e-10 -1.19788e-09 -6.02025e-09
# precision: tgt 5.00e-03 max 5.72e-03 (114.5%) avg 9.07e-04 (18.1%)
5.14644e+00 -1.35577e-04 1.98879e-04 1.31847e-03 7.63208e-07 -1.64492e-07 -1.42070e-06 1.01157e-06 8.92333e-07 3.53158e-06 -4.90464e-10 4.29529e-10 -4.30715e-10 -7.72678e-10 1.45480e-09 -5.70032e-09 4.35243e-10 6.75016e-10 3.18616e-09 3.58737e-09

#cal5k_z7_q1
4 7 0 20
# precision: tgt 5.00e-03 max 1.77e-02 (354.2%) avg 2.44e-03 (48.8%)
6.78921e-01 -3.85207e-03 -2.47802e-03 -2.17954e-04 6.53940e-06 1.03969e-05 9.25492e-07 1.86247e-06 -1.86077e-07 -1.67411e-06 -3.35232e-09 -1.01775e-08 -1.08008e-10 -5.39002e-09 -3.79481e-11 -2.00388e-09 4.09924e-10 -2.98330e-10 -1.02866e-09 -4.63523e-09
# precision: tgt 5.00e-03 max 2.13e-02 (426.4%) avg 2.02e-03 (40.5%)
2.19519e-01 -1.09839e-03 -1.00948e-04 -6.57323e-04 1.12836e-06 1.18945e-06 9.87208e-07 -1.92763e-06 2.76967e-06 -1.98242e-06 2.53168e-10 -1.77581e-09 -7.34800e-10 2.54309e-09 -2.34170e-09 -7.54640e-10 2.13843e-09 -9.88770e-10 -5.49147e-10 -4.70072e-09
# precision: tgt 5.00e-03 max 4.55e-03 (91.0%) avg 5.12e-04 (10.2%)
4.71089e+00 -3.23987e-04 -1.37375e-04 -6.92322e-03 6.07554e-07 6.65810e-07 -1.74080e-06 5.95969e-07 -1.20406e-07 -4.22194e-05 -2.31688e-10 -8.64320e-10 -1.65280e-09 -7.19622e-10 -1.39071e-09 -8.13054e-09 -1.25364e-10 -1.20263e-09 -2.37012e-09 -8.05275e-08

#cal5k_z7_q2
4 7 1 20
# precision: tgt 5.00e-03 max 1.27e-02 (253.8%) avg 1.88e-03 (37.5%)
7.67579e-02 3.12975e-04 -9.33600e-04 2.99948e-04 5.72947e-07 -2.78484e-06 1.88725e-06 2.62594e-06 -5.14779e-07 6.32306e-07 6.04558e-10 -2.18765e-09 -2.99719e-10 4.42430e-09 5.53784e-11 1.46022e-09 -2.05279e-09 -1.77990e-10 -1.48157e-09 -6.62223e-10
# precision: tgt 5.00e-03 max 2.13e-02 (426.4%) avg 1.73e-03 (34.6%)
3.55226e-01 1.58232e-03 -8.95866e-04 -5.15740e-04 1.40860e-06 -3.69496e-06 -5.28635e-07 -3.84447e-07 2.51184e-06 -1.73009e-06 -5.08093e-10 -3.12639e-09 -9.38258e-11 5.36575e-11 6.55266e-10 -6.05286e-10 1.23588e-09 -1.33481e-10 1.81943e-09 -1.98200e-09
# precision: tgt 5.00e-03 max 4.61e-03 (92.2%) avg 5.44e-04 (10.9%)
4.85836e+00 6.59015e-04 -3.85620e-04 -5.16862e-03 1.18308e-06 -1.41503e-06 2.91971e-06 8.94081e-07 -7.83279e-07 -3.28553e-05 4.84655e-10 -1.32378e-09 -9.17455e-11 1.01616e-09 -5.88901e-10 6.99550e-09 -2.58510e-10 -6.29832e-10 -1.51224e-09 -6.05276e-08

#cal5k_z7_q3
4 7 2 20
# precision: tgt 5.00e-03 max 4.80e-03 (96.0%) avg 9.48e-04 (19.0%)
1.68850e-01 7.08359e-04 1.04491e-03 5.45666e-04 1.37569e-06 3.51675e-06 9.38899e-07 2.40215e-06 -4.62981e-07 3.87964e-06 1.03013e-09 2.87830e-09 -9.71630e-11 4.02576e-09 -2.05957e-10 -1.20501e-09 1.65377e-09 -2.24789e-10 -1.08090e-09 8.54878e-09
# precision: tgt 5.00e-03 max 2.94e-02 (588.5%) avg 2.63e-03 (52.5%)
1.73945e-01 1.51236e-03 1.03896e-03 6.38865e-04 4.42070e-06 4.53789e-06 7.23479e-07 2.51222e-06 2.19255e-06 2.05519e-06 4.08389e-09 5.17838e-09 2.27514e-10 4.33135e-09 1.80793e-09 -9.03095e-11 1.97269e-09 7.43132e-10 -4.75106e-10 4.40289e-09
# precision: tgt 5.00e-03 max 5.71e-03 (114.1%) avg 1.01e-03 (20.1%)
5.03820e+00 7.59154e-04 7.59032e-04 -2.56838e-03 1.50210e-06 1.72985e-06 2.85684e-06 1.43024e-06 2.41682e-06 -1.93654e-05 5.19725e-10 8.93715e-10 2.56016e-09 1.10460e-09 3.92866e-09 -3.28059e-10 4.54470e-10 2.22174e-09 -1.86066e-10 -3.13625e-08

#cal5k_z7_q4
4 7 3 20
# precision: tgt 5.00e-03 max 1.62e-02 (323.7%) avg 2.82e-03 (56.4%)
-8.93145e-03 -1.02587e-03 -1.85493e-04 -2.13250e-03 2.71756e-06 -1.93907e-06 3.50799e-06 -1.56357e-06 -1.94966e-06 -8.91626e-06 -1.84708e-09 3.54910e-09 -5.76837e-10 9.25783e-10 4.61599e-10 4.18509e-09 -1.71524e-09 -3.91240e-10 -4.37338e-09 -1.23317e-08
# precision: tgt 5.00e-03 max 2.84e-02 (567.4%) avg 3.69e-03 (73.8%)
-6.68002e-01 3.81905e-03 -1.92596e-03 3.34166e-04 -6.87370e-06 8.78709e-06 -9.37149e-07 -2.86852e-07 1.48180e-06 4.24327e-07 3.71088e-09 -9.96756e-09 5.02054e-10 1.86220e-09 -1.32550e-09 -2.62539e-10 1.15997e-09 9.37432e-11 -1.26626e-09 1.04675e-09
# precision: tgt 5.00e-03 max 6.08e-03 (121.7%) avg 9.63e-04 (19.3%)
4.97019e+00 -5.37738e-04 5.51392e-04 -3.22883e-03 1.05702e-06 -8.71603e-07 -2.75674e-06 9.66673e-07 2.85821e-06 -2.45082e-05 -3.88029e-10 4.19879e-10 1.24886e-09 -5.23675e-10 -2.35814e-09 -2.84139e-09 2.13926e-10 1.64302e-09 3.07353e-09 -4.59099e-08

#cal5k_z8_q1
4 8 0 20
# precision: tgt 5.00e-03 max 1.69e-02 (338.3%) avg 2.36e-03 (47.2%)
7.69202e-01 -4.06351e-03 -2.74841e-03 5.71380e-04 6.93220e-06 1.13567e-05 1.36188e-06 2.36903e-06 1.98215e-08 3.67964e-06 -3.69612e-09 -1.10554e-08 -9.20061e-10 -6.38612e-09 -5.24257e-10 -1.92914e-09 6.94899e-11 -7.09753e-10 -9.56953e-10 7.52702e-09
# precision: tgt 5.00e-03 max 2.16e-02 (431.6%) avg 2.08e-03 (41.7%)
3.56774e-01 -1.58523e-03 -5.54740e-04 -1.70884e-06 1.84606e-06 2.67396e-06 4.94363e-07 -1.44256e-06 1.87272e-06 7.64551e-08 -1.99342e-10 -3.05457e-09 -1.12367e-09 1.57553e-09 -1.28605e-09 -1.23055e-09 1.92405e-09 -9.74246e-10 -1.41354e-09 -1.55333e-09
# precision: tgt 5.00e-03 max 4.51e-03 (90.1%) avg 5.08e-04 (10.2%)
5.13912e+00 -2.82023e-04 -2.65381e-04 2.62882e-04 8.41115e-07 1.05375e-06 3.83702e-07 7.83453e-07 -5.44511e-07 -6.56650e-07 -1.01923e-10 -8.49574e-10 2.22223e-10 -6.66773e-10 1.02411e-09 3.44723e-09 -8.58904e-11 1.15194e-10 -1.44088e-10 2.55571e-09

#cal5k_z8_q2
4 8 1 20
# precision: tgt 5.00e-03 max 1.37e-02 (273.2%) avg 1.84e-03 (36.7%)
-4.29473e-02 -9.03381e-05 -5.44075e-04 -3.95269e-04 -3.08477e-08 -1.45781e-06 1.71540e-06 2.09088e-06 -2.14652e-07 -3.01566e-06 1.19563e-10 -8.55979e-10 9.85684e-10 3.23831e-09 -6.70125e-10 -7.34048e-10 -1.70646e-09 5.49998e-10 3.34686e-10 -7.32303e-09
# precision: tgt 5.00e-03 max 2.20e-02 (440.4%) avg 1.79e-03 (35.7%)
4.66799e-01 2.04441e-03 -1.32137e-03 -3.19835e-04 2.17357e-06 -5.09922e-06 -4.26828e-07 1.11733e-07 1.94351e-06 -2.51585e-06 5.46666e-12 -4.50610e-09 -7.08679e-10 1.12227e-09 8.34788e-10 -1.73911e-10 9.42705e-10 -6.54473e-10 3.76723e-10 -6.23732e-09
# precision: tgt 5.00e-03 max 5.10e-03 (102.0%) avg 4.90e-04 (9.8%)
5.09474e+00 1.41541e-04 -1.25231e-04 -1.50738e-04 7.87030e-07 -7.80432e-07 -1.37805e-06 6.89144e-07 5.77696e-07 -1.33181e-06 1.74478e-10 -8.93713e-10 -6.20182e-10 6.12675e-10 9.89611e-10 -3.70009e-09 -1.04555e-10 -6.35731e-10 1.92761e-10 1.13928e-09

#cal5k_z8_q3
4 8 2 20
# precision: tgt 5.00e-03 max 4.71e-03 (94.2%) avg 9.69e-04 (19.4%)
1.05009e-01 6.34229e-04 9.01115e-04 -7.76119e-05 1.29081e-06 2.98460e-06 1.46093e-06 2.09748e-06 4.55521e-09 -1.18084e-07 9.17252e-10 2.45759e-09 7.74491e-10 3.41008e-09 1.85207e-10 -7.69297e-10 1.41096e-09 3.10607e-10 -1.73819e-10 -7.09272e-11
# precision: tgt 5.00e-03 max 2.87e-02 (573.9%) avg 2.64e-03 (52.7%)
5.13032e-02 1.08076e-03 6.03141e-04 4.07466e-04 3.89188e-06 2.91452e-06 1.39713e-06 1.99858e-06 2.61554e-06 2.37837e-07 3.83399e-09 3.80672e-09 1.49532e-09 3.00406e-09 2.80156e-09 -3.26499e-10 1.75595e-09 1.78933e-09 -1.50421e-09 1.48403e-09
# precision: tgt 5.00e-03 max 5.76e-03 (115.3%) avg 9.97e-04 (19.9%)
5.13140e+00 2.29188e-04 3.85358e-04 4.46246e-05 7.28497e-07 9.02279e-07 -6.87643e-07 9.96418e-07 7.25134e-08 -7.48261e-07 4.96127e-11 5.78652e-10 -4.62697e-10 8.24890e-10 -8.50197e-10 -1.15018e-09 3.32663e-10 -1.03638e-10 1.69041e-09 -8.44407e-11

#cal5k_z8_q4
4 8 3 20
# precision: tgt 5.00e-03 max 1.50e-02 (300.6%) avg 2.65e-03 (53.0%)
2.18535e-01 -1.55438e-03 3.65273e-04 -2.41960e-05 3.34016e-06 -3.20038e-06 1.58271e-06 -8.89866e-07 7.67808e-08 -5.95883e-07 -2.25647e-09 4.59236e-09 -6.27026e-10 -1.57807e-10 -4.83262e-11 1.32869e-11 -1.32827e-09 -1.20281e-10 -2.61762e-10 -1.08942e-09
# precision: tgt 5.00e-03 max 2.88e-02 (576.0%) avg 3.80e-03 (76.0%)
-6.90200e-01 3.84881e-03 -1.75749e-03 3.29215e-04 -6.58732e-06 8.32893e-06 -1.05009e-07 4.42432e-07 1.36282e-06 2.61256e-06 3.37308e-09 -9.36203e-09 1.69072e-10 8.59022e-10 1.46312e-10 -5.94841e-10 1.75774e-09 3.39954e-10 -6.56067e-11 6.36637e-09
# precision: tgt 5.00e-03 max 5.24e-03 (104.8%) avg 9.81e-04 (19.6%)
5.08471e+00 -4.48941e-05 5.95652e-05 2.41049e-04 5.13430e-07 1.87923e-08 4.62275e-07 3.52370e-07 2.45466e-07 2.30031e-07 -2.18328e-12 -2.24022e-11 -2.90780e-10 1.39919e-10 5.22683e-10 4.92134e-10 -6.22536e-11 -9.20848e-11 1.91009e-09 1.89795e-09

#cal5k_z9_q1
4 9 0 20
# precision: tgt 5.00e-03 max 1.65e-02 (330.7%) avg 2.25e-03 (44.9%)
7.74905e-01 -4.24886e-03 -3.02021e-03 4.58632e-05 7.40870e-06 1.23131e-05 1.82155e-06 3.07498e-06 3.98830e-07 1.41699e-06 -4.05197e-09 -1.18743e-08 -9.06250e-10 -7.55727e-09 -1.31569e-09 -2.48993e-09 -4.26456e-10 -9.67643e-10 -2.53281e-09 -4.32090e-10
# precision: tgt 5.00e-03 max 2.23e-02 (445.1%) avg 2.18e-03 (43.5%)
4.17484e-01 -1.96823e-03 -8.67965e-04 -4.68122e-04 2.50217e-06 4.03439e-06 1.63676e-06 -9.72092e-07 3.13025e-06 -6.42669e-07 -4.54151e-10 -4.33624e-09 -1.51585e-09 4.93393e-10 -3.15512e-09 -5.43551e-10 1.74193e-09 -1.81875e-09 -1.57723e-09 -4.38196e-09
# precision: tgt 5.00e-03 max 5.25e-03 (105.0%) avg 5.72e-04 (11.4%)
5.11700e+00 -2.85868e-04 -2.28368e-04 2.59999e-04 9.58858e-07 1.21006e-06 1.21137e-06 9.85815e-07 1.49334e-06 9.46261e-06 -2.92658e-10 -1.27550e-09 -1.03635e-09 -1.11901e-09 -1.94542e-09 6.24382e-10 -3.08005e-10 -6.41894e-10 3.98716e-09 6.23476e-08

#cal5k_z9_q2
4 9 1 20
# precision: tgt 5.00e-03 max 1.34e-02 (267.9%) avg 1.91e-03 (38.2%)
-8.22071e-02 -4.97245e-04 -1.44966e-04 2.12278e-04 -9.40073e-07 1.05263e-07 2.50680e-06 1.24490e-06 -9.41708e-07 -1.67738e-06 -4.63191e-10 6.78737e-10 1.14626e-09 1.70296e-09 -2.46024e-09 -2.17096e-09 -1.19251e-09 8.98571e-10 2.55040e-09 -2.46114e-09
# precision: tgt 5.00e-03 max 2.19e-02 (438.7%) avg 1.86e-03 (37.3%)
5.80749e-01 2.61467e-03 -1.75287e-03 5.07269e-04 3.25511e-06 -6.65971e-06 7.15769e-07 6.99589e-07 6.40337e-07 3.51756e-06 6.52392e-10 -6.06590e-09 -1.98808e-11 2.13738e-09 8.08481e-11 4.86149e-09 6.77716e-10 1.22580e-10 -4.91776e-09 3.58940e-09
# precision: tgt 5.00e-03 max 4.08e-03 (81.6%) avg 4.40e-04 (8.8%)
5.17453e+00 5.28525e-04 -3.62951e-04 1.45247e-03 1.43295e-06 -1.58306e-06 1.67943e-06 1.13182e-06 -1.99013e-07 1.64846e-05 6.01326e-10 -1.53284e-09 1.33356e-09 1.21690e-09 -1.32352e-09 3.62911e-09 -3.87587e-10 3.62920e-10 2.80700e-09 8.17287e-08

#cal5k_z9_q3
4 9 2 20
# precision: tgt 5.00e-03 max 5.02e-03 (100.4%) avg 1.03e-03 (20.5%)
7.04899e-02 4.55005e-04 6.95287e-04 -7.55153e-05 9.97935e-07 2.35548e-06 1.23785e-06 1.73282e-06 -1.74877e-07 1.75301e-07 8.03103e-10 2.05622e-09 3.19214e-11 2.82844e-09 -2.57997e-10 1.01339e-10 1.23539e-09 5.93151e-11 -4.68096e-10 1.25886e-09
# precision: tgt 5.00e-03 max 2.95e-02 (589.6%) avg 2.69e-03 (53.7%)
-1.30320e-01 2.16509e-04 -2.13875e-04 -8.03805e-05 2.61909e-06 1.99147e-07 -1.53067e-07 7.37134e-07 1.91310e-06 -1.79550e-06 3.30951e-09 1.73601e-09 4.18156e-12 9.55183e-10 5.95208e-10 -1.95175e-09 1.17739e-09 6.27571e-10 8.30960e-10 -4.84545e-09
# precision: tgt 5.00e-03 max 5.37e-03 (107.3%) avg 9.73e-04 (19.5%)
5.10452e+00 2.55773e-04 3.41897e-04 -8.82436e-05 9.90080e-07 1.04846e-06 -1.07262e-06 1.10327e-06 -1.08313e-06 5.04406e-06 3.22848e-10 8.16564e-10 1.74955e-10 1.04610e-09 -1.04863e-09 -3.72024e-09 3.97739e-10 3.08296e-10 -3.22964e-09 4.16720e-08

#cal5k_z9_q4
4 9 3 20
# precision: tgt 5.00e-03 max 1.52e-02 (304.0%) avg 2.74e-03 (54.7%)
2.64760e-01 -1.75575e-03 5.34483e-04 3.21393e-04 3.60246e-06 -3.73396e-06 8.13894e-07 -6.84272e-07 4.25703e-07 2.36657e-06 -2.30449e-09 4.97406e-09 -5.83989e-11 -5.55400e-10 1.46228e-10 -5.33492e-09 -1.29156e-09 -7.75645e-12 3.63868e-09 -2.75039e-09
# precision: tgt 5.00e-03 max 2.91e-02 (581.2%) avg 3.82e-03 (76.3%)
-7.05013e-01 3.99905e-03 -1.73809e-03 2.33410e-04 -7.13070e-06 8.77626e-06 -1.44859e-06 4.47700e-07 2.88263e-06 -2.29291e-06 3.87287e-09 -1.03185e-08 1.96374e-09 1.19501e-09 -3.03502e-09 3.68432e-09 1.75104e-09 1.37584e-09 -7.82782e-10 -1.79408e-09
# precision: tgt 5.00e-03 max 5.49e-03 (109.9%) avg 9.67e-04 (19.3%)
5.05567e+00 -1.26752e-04 1.11516e-04 -4.55999e-04 8.96415e-07 -4.75582e-07 1.57337e-06 6.98998e-07 -1.49905e-06 1.94170e-06 -3.40324e-10 5.03045e-10 1.67658e-10 -4.45009e-10 9.40954e-10 6.82008e-09 1.46827e-10 4.63925e-10 -7.05758e-09 3.88589e-08

#its5k_z0_q1
0 0 0 20
# precision: tgt 5.00e-03 max 1.41e-02 (281.0%) avg 7.27e-04 (14.5%)
-4.21748e+00 2.41701e-02 -4.57315e-04 -1.97970e-02 -4.05774e-05 3.97418e-05 6.25100e-05 7.34428e-07 1.50314e-06 -2.72758e-05 9.48462e-08 -9.17108e-09 -7.62562e-08 -3.20058e-09 7.17005e-08 8.97794e-09 -3.60666e-08 -1.12534e-08 4.07032e-09 -8.82723e-09
# precision: tgt 5.00e-03 max 6.55e-03 (131.1%) avg 5.63e-04 (11.3%)
-1.05565e+01 7.78143e-04 -8.52568e-03 -6.09317e-02 8.50073e-06 -1.36116e-05 3.42114e-06 9.47311e-05 -5.59267e-05 -1.17125e-04 1.23542e-08 3.94401e-08 1.96262e-08 8.67137e-09 -3.12391e-08 3.96963e-09 1.58319e-08 1.82752e-07 -9.81668e-08 -7.48561e-08
# precision: tgt 5.00e-03 max 1.49e-02 (297.7%) avg 1.15e-03 (23.0%)
2.15872e+00 2.33351e-03 -4.53149e-02 -7.06832e-03 -7.28890e-05 -8.44099e-05 1.47562e-05 -1.03248e-04 -1.88619e-04 1.37236e-05 1.02418e-07 1.20516e-07 -1.63979e-07 4.75300e-08 -1.46841e-07 2.51385e-08 1.46398e-07 -2.24458e-07 -1.93420e-07 4.06510e-08

#its5k_z0_q2
0 0 1 20
# precision: tgt 5.00e-03 max 1.47e-02 (293.8%) avg 8.39e-04 (16.8%)
1.61665e+01 -3.29413e-02 1.52500e-02 9.83298e-02 -8.98825e-05 5.47412e-06 -1.61215e-04 -3.08428e-05 5.91688e-05 2.00961e-04 1.72821e-07 -4.34627e-08 -2.18305e-07 5.85494e-08 1.55204e-08 -2.09345e-07 -1.36288e-08 -6.72950e-08 5.72277e-08 1.38192e-07
# precision: tgt 5.00e-03 max 6.69e-03 (133.8%) avg 5.65e-04 (11.3%)
-8.88035e+00 1.53360e-02 -2.34155e-02 -5.22746e-02 -8.20509e-06 -7.30136e-05 6.09806e-05 8.28680e-05 -1.14607e-04 -1.02478e-04 -2.69494e-08 7.18214e-08 -1.01144e-08 -3.44632e-08 -1.57618e-07 6.02135e-08 1.45864e-08 1.58856e-07 -1.56022e-07 -6.67832e-08
# precision: tgt 5.00e-03 max 1.45e-02 (291.0%) avg 1.26e-03 (25.2%)
1.52670e+01 8.21451e-02 -3.38608e-02 6.91421e-02 -1.91502e-04 1.58552e-04 3.60601e-04 -1.39448e-04 -1.49795e-04 1.61141e-04 -2.16882e-07 1.11302e-07 -3.89340e-07 -1.48880e-07 2.90562e-07 3.92333e-07 1.48584e-07 -2.93142e-07 -1.61076e-07 1.35530e-07

#its5k_z0_q3
0 0 2 20
# precision: tgt 5.00e-03 max 1.29e-02 (258.0%) avg 1.04e-03 (20.8%)
1.77514e+01 -2.65318e-02 -7.10286e-03 1.06799e-01 -6.20488e-05 4.66663e-05 -1.42222e-04 -5.94975e-06 -3.29086e-05 2.16185e-04 1.98118e-07 1.52141e-07 -1.73318e-07 1.20650e-07 6.59107e-08 -1.95783e-07 2.79393e-08 -2.37201e-08 -3.63967e-08 1.47409e-07
# precision: tgt 5.00e-03 max 1.11e-02 (221.1%) avg 9.10e-04 (18.2%)
1.07086e+01 -8.16785e-03 -6.35828e-03 6.21141e-02 2.23417e-05 -3.35234e-05 -3.61860e-05 -1.06409e-05 -5.95202e-05 1.20291e-04 3.72206e-08 1.05903e-07 3.39055e-08 1.24920e-07 -9.48161e-08 -3.87339e-08 1.09037e-07 -4.19146e-08 -1.12103e-07 7.78810e-08
# precision: tgt 5.00e-03 max 3.09e-02 (617.5%) avg 2.54e-03 (50.7%)
1.38621e+01 6.65974e-02 1.19493e-02 6.30107e-02 -2.83094e-04 -3.00922e-04 3.19097e-04 -2.72439e-04 9.07111e-05 1.52247e-04 -2.73323e-07 -2.64265e-07 -5.50973e-07 -3.28579e-07 -5.31260e-07 3.68962e-07 -2.98185e-07 -5.15385e-07 1.27624e-07 1.31131e-07

#its5k_z0_q4
0 0 3 20
# precision: tgt 5.00e-03 max 1.34e-02 (268.8%) avg 9.54e-04 (19.1%)
-5.44548e+00 3.10348e-02 -7.03787e-03 -2.61072e-02 -7.56111e-05 2.11002e-05 8.18508e-05 -3.15168e-05 -2.34092e-05 -3.82175e-05 1.10928e-07 -8.57593e-08 -1.37678e-07 6.68518e-08 2.74417e-08 2.13200e-08 -6.63758e-12 -6.41704e-08 -1.91162e-08 -1.52578e-08
# precision: tgt 5.00e-03 max 1.05e-02 (210.9%) avg 8.07e-04 (16.1%)
1.12778e+01 -6.77562e-03 7.49004e-03 6.43809e-02 1.40609e-05 -5.21741e-05 -2.22758e-05 -3.03331e-05 -3.40876e-06 1.22625e-04 -3.88952e-08 7.97707e-08 1.75824e-08 -9.00515e-08 -9.34107e-08 -1.83810e-08 9.42960e-08 -7.67579e-08 -5.55963e-08 7.80373e-08
# precision: tgt 5.00e-03 max 3.08e-02 (616.9%) avg 2.49e-03 (49.8%)
-7.44050e-01 2.03201e-02 1.86628e-02 -2.13937e-02 -1.59614e-04 2.35761e-04 6.60276e-05 -2.42402e-04 1.12253e-04 -1.00824e-05 1.64189e-07 -2.71063e-07 -3.14952e-07 2.32205e-07 4.05658e-07 5.83574e-08 -2.99914e-07 -4.57998e-07 1.44271e-07 2.72257e-08

#its5k_z1_q1
0 1 0 20
# precision: tgt 5.00e-03 max 2.91e-03 (58.3%) avg 3.83e-04 (7.7%)
3.67798e+00 -2.74966e-02 -8.41407e-03 2.32269e-02 -4.90095e-05 -1.59930e-05 -1.45247e-04 -2.06329e-05 -3.73383e-05 4.99478e-05 4.02070e-08 -4.88763e-09 -1.07722e-07 4.79334e-08 -3.34127e-08 -2.00921e-07 -5.32926e-09 -4.54578e-08 -4.12056e-08 3.66712e-08
# precision: tgt 5.00e-03 max 3.19e-03 (63.8%) avg 3.80e-04 (7.6%)
3.42244e+00 -3.75039e-03 -3.61437e-02 2.05738e-02 -9.31873e-06 -3.37105e-05 -1.79180e-05 -1.44070e-05 -1.80648e-04 4.09230e-05 -6.97286e-09 4.78305e-08 -2.07417e-08 -7.82082e-09 -7.39111e-08 -2.10486e-08 4.20661e-08 -3.08536e-08 -2.37071e-07 2.70350e-08
# precision: tgt 5.00e-03 max 1.84e-03 (36.8%) avg 1.94e-04 (3.9%)
1.22304e+01 9.61825e-03 -2.24239e-03 5.47133e-02 -7.14934e-05 -7.61344e-06 4.80441e-05 -8.88352e-05 -1.14158e-05 1.40278e-04 -4.45390e-09 1.61276e-08 -1.90701e-07 -4.58538e-09 -1.33305e-08 6.02217e-08 1.35791e-08 -2.27083e-07 -1.35387e-08 1.27145e-07

#its5k_z1_q2
0 1 1 20
# precision: tgt 5.00e-03 max 2.77e-03 (55.4%) avg 3.62e-04 (7.2%)
-1.15667e+00 -3.92849e-02 -3.30101e-04 -5.73406e-03 -8.33256e-06 -1.71306e-05 -1.96050e-04 -4.42256e-06 6.60952e-07 -7.40706e-06 6.35213e-08 -5.79837e-10 -2.74223e-08 5.87411e-08 -3.56041e-08 -2.55601e-07 -2.41198e-09 -1.18838e-08 2.80359e-09 -8.40935e-10
# precision: tgt 5.00e-03 max 2.94e-03 (58.8%) avg 3.62e-04 (7.2%)
2.41510e+00 1.38578e-02 -4.16782e-02 1.37480e-02 -1.10794e-05 6.44602e-07 6.03153e-05 -2.07271e-05 -2.04848e-04 2.55883e-05 -5.95271e-10 5.84254e-08 -2.31191e-08 3.86501e-09 -3.37455e-09 6.54695e-08 4.51139e-08 -4.37712e-08 -2.63465e-07 1.56057e-08
# precision: tgt 5.00e-03 max 1.93e-03 (38.6%) avg 2.31e-04 (4.6%)
1.73895e+01 9.78496e-03 3.33086e-03 8.79102e-02 -1.19426e-04 3.73212e-05 5.64086e-05 -1.03645e-04 9.54770e-06 2.11310e-04 -2.52839e-08 8.95255e-09 -2.93541e-07 -2.46505e-08 7.74890e-08 7.69530e-08 1.27236e-08 -2.58422e-07 5.88459e-09 1.77690e-07

#its5k_z1_q3
0 1 2 20
# precision: tgt 5.00e-03 max 3.92e-03 (78.5%) avg 4.63e-04 (9.3%)
-3.09912e+00 -4.19808e-02 -3.50759e-03 -1.71448e-02 1.25918e-05 3.54359e-05 -2.11095e-04 5.98086e-07 -1.79580e-05 -2.95505e-05 6.06498e-08 1.99134e-08 1.55538e-08 5.68840e-08 7.01375e-08 -2.75089e-07 7.50377e-09 -2.71837e-09 -2.20424e-08 -1.50176e-08
# precision: tgt 5.00e-03 max 3.39e-03 (67.9%) avg 4.03e-04 (8.1%)
-3.72176e+00 -1.05870e-02 -4.01332e-02 -2.15446e-02 2.04003e-05 1.05631e-05 -4.85909e-05 3.31491e-05 -2.00967e-04 -4.10921e-05 8.65399e-09 4.45994e-08 4.05321e-08 1.13060e-08 1.66130e-08 -5.51896e-08 5.17870e-08 6.60809e-08 -2.61999e-07 -2.56322e-08
# precision: tgt 5.00e-03 max 2.57e-03 (51.4%) avg 3.11e-04 (6.2%)
1.71891e+01 8.74322e-03 -4.21678e-03 8.68671e-02 -1.20004e-04 -3.73694e-05 5.22676e-05 -1.09445e-04 -1.09101e-05 2.09544e-04 -2.72356e-08 -1.86030e-08 -2.93982e-07 -2.86169e-08 -7.62728e-08 7.27873e-08 -2.14369e-08 -2.69281e-07 -4.02481e-09 1.76726e-07

#its5k_z1_q4
0 1 3 20
# precision: tgt 5.00e-03 max 2.67e-03 (53.5%) avg 3.69e-04 (7.4%)
5.17219e+00 -2.85450e-02 5.49110e-03 3.26464e-02 -4.86835e-05 1.75450e-05 -1.49625e-04 -2.10669e-05 2.53776e-05 6.97284e-05 4.03589e-08 4.72791e-09 -1.06878e-07 4.18733e-08 3.62226e-08 -2.05490e-07 -7.07480e-10 -4.51027e-08 2.89342e-08 5.05081e-08
# precision: tgt 5.00e-03 max 2.26e-03 (45.1%) avg 3.50e-04 (7.0%)
-2.15025e+00 2.54721e-03 -2.73724e-02 -1.28888e-02 8.58009e-06 -3.25751e-05 1.26034e-05 2.66405e-05 -1.46263e-04 -2.55725e-05 -5.26814e-09 4.58194e-08 1.67357e-08 -1.06448e-08 -6.98523e-08 1.51849e-08 4.72406e-08 5.32619e-08 -2.03462e-07 -1.66553e-08
# precision: tgt 5.00e-03 max 2.21e-03 (44.2%) avg 3.03e-04 (6.1%)
1.29625e+01 1.43664e-02 -2.76253e-03 5.98206e-02 -6.95198e-05 1.68179e-05 6.76322e-05 -9.75854e-05 -6.34105e-06 1.51972e-04 -1.91693e-09 -2.54414e-08 -1.85911e-07 1.91190e-09 3.13044e-08 8.04610e-08 -2.00512e-08 -2.44785e-07 -8.17016e-10 1.35959e-07

#its5k_z10_q1
0 10 0 20
# precision: tgt 5.00e-03 max 2.89e-04 (5.8%) avg 2.28e-05 (0.5%)
-2.09458e-04 1.12620e-05 6.62752e-06 -1.55606e-05 -7.50853e-08 1.25966e-07 1.62161e-06 -1.98981e-07 2.40474e-07 4.81524e-08 4.63721e-10 -9.77056e-10 -5.44972e-11 -7.64010e-10 -5.62251e-10 -6.77770e-10 1.00966e-09 -1.99970e-09 9.28505e-10 -1.11401e-10
# precision: tgt 5.00e-03 max 1.61e-04 (3.2%) avg 2.79e-05 (0.6%)
-2.55776e-04 2.71815e-06 1.03852e-05 3.63188e-05 2.46061e-08 -1.95315e-07 8.15764e-09 8.29883e-08 1.75634e-06 -4.63545e-09 -4.08547e-10 1.05474e-09 -2.75922e-10 4.47122e-10 -7.97223e-10 -1.86405e-10 -8.24412e-10 -9.15632e-10 -2.29271e-10 8.21826e-11
# precision: tgt 5.00e-03 max 4.08e-04 (8.2%) avg 3.76e-05 (0.8%)
5.00684e+00 -1.21940e-05 5.01833e-05 -1.07259e-05 9.21339e-07 -2.92264e-07 2.56853e-07 7.96562e-07 9.14719e-08 -1.45022e-06 -1.00410e-09 -3.50428e-10 -1.15584e-09 3.15200e-09 -1.95193e-09 -6.28617e-10 -1.18796e-09 -9.29010e-10 -7.12691e-10 5.83560e-10

#its5k_z10_q2
0 10 1 20
# precision: tgt 5.00e-03 max 2.18e-04 (4.4%) avg 2.11e-05 (0.4%)
-1.24287e-04 2.01273e-05 -7.50685e-06 -1.08200e-05 1.20223e-08 4.68952e-09 1.92465e-06 1.39262e-07 4.53576e-08 3.54420e-08 -8.19983e-11 6.50309e-10 2.91479e-09 2.59211e-10 1.14475e-12 4.17994e-10 -7.49466e-10 5.62175e-10 5.28312e-10 -3.45802e-10
# precision: tgt 5.00e-03 max 3.34e-04 (6.7%) avg 2.20e-05 (0.4%)
-8.30696e-05 -1.17545e-05 -4.31927e-07 3.81773e-05 -9.96155e-08 2.15669e-07 -1.13950e-07 3.09489e-07 1.72797e-06 3.45954e-09 2.65753e-10 3.14403e-09 -1.06028e-09 3.62424e-10 1.57141e-09 1.84949e-10 -2.32437e-09 -6.46669e-10 -1.62683e-10 -7.20358e-11
# precision: tgt 5.00e-03 max 4.30e-04 (8.6%) avg 3.56e-05 (0.7%)
5.00697e+00 -9.36541e-06 3.62072e-05 -1.60458e-05 7.34909e-07 1.58872e-07 1.49985e-07 9.66624e-07 1.20523e-07 -1.58862e-06 -6.93461e-10 2.71022e-09 9.43142e-10 1.26212e-09 1.39675e-09 -5.72623e-10 -8.43429e-10 -4.74871e-10 4.43498e-10 7.62651e-11

#its5k_z10_q3
0 10 2 20
# precision: tgt 5.00e-03 max 2.16e-04 (4.3%) avg 2.20e-05 (0.4%)
-3.00011e-04 1.18569e-05 8.95962e-06 -1.09340e-05 -8.09538e-08 8.86477e-08 1.64428e-06 1.61509e-07 1.25554e-07 6.61960e-08 -6.55580e-11 -7.08079e-10 -7.48888e-10 3.85556e-10 2.77891e-09 -4.00269e-11 1.02533e-09 5.39137e-10 3.18780e-10 -2.76312e-10
# precision: tgt 5.00e-03 max 1.86e-04 (3.7%) avg 1.82e-05 (0.4%)
3.25341e-04 2.12269e-06 1.20375e-05 4.55046e-05 -8.81419e-08 1.60709e-07 1.35715e-07 -4.85845e-08 1.71633e-06 -8.68907e-09 -1.08347e-09 1.38011e-09 1.20396e-09 5.67216e-10 4.51929e-10 1.70612e-10 -7.47964e-10 8.62448e-10 3.14683e-10 -3.13109e-10
# precision: tgt 5.00e-03 max 3.13e-04 (6.3%) avg 4.13e-05 (0.8%)
5.00704e+00 -1.30550e-05 4.87884e-05 -1.46600e-05 6.07612e-07 -6.02729e-08 1.45040e-07 9.23615e-07 -1.14392e-07 -1.57182e-06 -1.53287e-09 -2.63085e-09 8.81209e-10 2.39235e-09 -1.66042e-09 -6.06194e-10 2.17963e-10 4.42581e-11 -8.55305e-10 2.61118e-10

#its5k_z10_q4
0 10 3 20
# precision: tgt 5.00e-03 max 2.19e-04 (4.4%) avg 1.59e-05 (0.3%)
-4.05306e-04 2.20802e-05 6.94795e-08 -2.09167e-05 -2.05989e-07 -8.91991e-08 1.80120e-06 -5.60854e-08 -1.16147e-07 6.44607e-09 7.12981e-10 -4.69249e-10 -1.59177e-09 -1.64515e-09 -1.52375e-10 -4.37849e-11 -4.96948e-10 -1.16083e-09 -4.25178e-10 -1.92443e-10
# precision: tgt 5.00e-03 max 2.18e-04 (4.4%) avg 3.49e-05 (0.7%)
1.73356e-04 -5.13752e-06 7.26657e-06 4.31960e-05 -2.55192e-08 -3.00289e-07 -7.90324e-08 -1.11622e-07 1.69613e-06 -1.62560e-08 5.72726e-10 2.41526e-09 5.25369e-10 1.41438e-10 -1.71626e-09 3.37803e-10 -7.82418e-10 3.92882e-10 2.83521e-10 -2.09177e-10
# precision: tgt 5.00e-03 max 2.34e-04 (4.7%) avg 2.45e-05 (0.5%)
5.00677e+00 -3.83581e-06 3.85832e-05 -1.04793e-05 7.71940e-07 2.35144e-07 2.25647e-07 8.87540e-07 -8.99719e-08 -1.45314e-06 -5.04951e-10 -1.08250e-09 -1.00632e-09 8.97930e-10 2.59519e-09 -9.52685e-10 1.38700e-09 -4.85963e-10 4.45431e-10 4.72781e-10

#its5k_z11_q1
0 11 0 20
# precision: tgt 5.00e-03 max 3.31e-04 (6.6%) avg 3.85e-05 (0.8%)
-1.67507e-04 1.22846e-05 -1.50850e-05 -1.85466e-05 -2.02626e-07 1.70321e-07 1.74267e-06 1.14661e-07 2.00951e-07 8.63576e-08 7.57222e-10 2.51958e-09 -6.93424e-10 -3.86649e-09 -8.92633e-10 1.42099e-11 2.76631e-10 -1.38218e-09 -7.11335e-10 -1.16377e-10
# precision: tgt 5.00e-03 max 1.91e-04 (3.8%) avg 2.47e-05 (0.5%)
1.51806e-04 -6.15938e-06 -9.30900e-07 3.45553e-05 7.37257e-08 1.68772e-08 2.01223e-07 1.10611e-08 1.70488e-06 2.29029e-08 -1.01623e-10 -6.17101e-10 -1.03844e-09 7.29626e-10 -1.74420e-09 -7.89155e-10 -4.04659e-12 -1.52134e-10 1.47864e-10 7.18594e-11
# precision: tgt 5.00e-03 max 3.57e-04 (7.1%) avg 2.50e-05 (0.5%)
5.00678e+00 -1.41437e-05 5.37446e-05 -1.52654e-05 9.57876e-07 -2.35501e-07 -7.86520e-09 6.87264e-07 -1.15156e-07 -1.56081e-06 -1.09325e-09 -8.27133e-10 6.55499e-10 2.78248e-09 2.01219e-09 -7.03982e-10 -3.46512e-10 1.01128e-09 -9.27207e-10 3.26109e-10

#its5k_z11_q2
0 11 1 20
# precision: tgt 5.00e-03 max 2.18e-04 (4.4%) avg 2.68e-05 (0.5%)
-5.48590e-04 2.31501e-06 2.00283e-06 -1.30262e-05 -3.20928e-08 1.30199e-07 1.75819e-06 4.99006e-08 -3.43326e-08 8.30359e-08 1.11957e-10 -1.59724e-10 8.59542e-10 -1.04481e-09 -1.62166e-09 1.15413e-10 -7.24222e-10 6.35293e-10 -6.70824e-10 -3.34661e-10
# precision: tgt 5.00e-03 max 2.56e-04 (5.1%) avg 2.75e-05 (0.6%)
2.00063e-04 1.36652e-07 -1.19662e-05 3.58346e-05 1.21001e-07 1.61294e-07 -9.57666e-08 2.67845e-07 1.87053e-06 -2.06381e-08 8.40604e-10 1.47790e-09 -1.74935e-09 -9.49726e-10 -3.03538e-10 2.94555e-10 -1.44896e-09 -2.37252e-09 1.39383e-10 1.86406e-10
# precision: tgt 5.00e-03 max 3.11e-04 (6.2%) avg 2.79e-05 (0.6%)
5.00666e+00 -2.17403e-05 5.66566e-05 -9.64094e-06 7.19846e-07 -5.02940e-08 2.45017e-07 4.91078e-07 -2.26381e-07 -1.62232e-06 -3.54383e-10 -1.34708e-09 2.18701e-10 9.99550e-10 -2.14061e-09 -1.07199e-09 2.10238e-09 1.21942e-09 2.95302e-10 -6.53313e-12

#its5k_z11_q3
0 11 2 20
# precision: tgt 5.00e-03 max 2.60e-04 (5.2%) avg 2.77e-05 (0.6%)
-3.49407e-04 1.21419e-05 -1.00385e-05 -8.30293e-06 1.40305e-07 4.47861e-09 1.79904e-06 -2.17163e-07 1.32480e-07 2.11890e-08 1.65660e-09 2.46018e-10 1.37154e-09 -3.36522e-10 1.19969e-09 -1.59707e-10 -1.04256e-09 1.10676e-09 -1.05507e-10 -1.39793e-10
# precision: tgt 5.00e-03 max 1.79e-04 (3.6%) avg 2.77e-05 (0.6%)
-1.88961e-04 -5.08410e-06 -9.57584e-06 4.68443e-05 -9.09700e-08 4.04139e-08 1.13248e-07 -1.81711e-07 1.79416e-06 -1.91167e-08 -9.03696e-10 1.72588e-09 8.76012e-10 -1.70747e-10 1.12203e-09 -5.58743e-11 -9.29085e-10 1.46227e-09 -3.09641e-10 -2.97576e-10
# precision: tgt 5.00e-03 max 3.97e-04 (7.9%) avg 2.36e-05 (0.5%)
5.00675e+00 -2.16874e-05 3.06800e-05 -2.03637e-05 7.51202e-07 -8.07830e-08 1.86876e-07 6.66404e-07 9.34717e-08 -1.43450e-06 3.94767e-10 -5.80924e-10 1.33650e-09 -1.18566e-10 1.29520e-09 4.83654e-10 -7.79148e-11 1.37080e-09 5.27832e-10 -5.89712e-10

#its5k_z11_q4
0 11 3 20
# precision: tgt 5.00e-03 max 1.95e-04 (3.9%) avg 1.91e-05 (0.4%)
-8.36533e-05 1.24606e-07 6.79468e-06 -1.62238e-05 8.51426e-08 -2.28446e-08 1.69314e-06 3.27905e-08 -2.44740e-07 3.91512e-08 -7.94008e-10 -9.14845e-10 -4.86459e-10 -4.20025e-10 6.63484e-10 2.93672e-10 -1.21514e-10 -2.05275e-09 7.77653e-10 1.33958e-10
# precision: tgt 5.00e-03 max 3.38e-04 (6.8%) avg 2.91e-05 (0.6%)
-1.43643e-04 8.40138e-06 1.05770e-06 4.62951e-05 -1.28407e-07 3.68728e-08 -3.22269e-08 9.07405e-08 1.77889e-06 -2.66543e-09 4.10483e-10 -8.68610e-10 4.67032e-10 -6.88291e-10 -1.30878e-09 -4.80446e-10 5.10023e-10 8.43958e-10 -1.71565e-10 -2.17383e-10
# precision: tgt 5.00e-03 max 3.76e-04 (7.5%) avg 4.30e-05 (0.9%)
5.00659e+00 5.87423e-06 4.18420e-05 -1.78619e-05 5.77019e-07 1.29289e-07 -5.56566e-09 9.19530e-07 8.76760e-08 -1.48487e-06 5.24280e-10 -1.21205e-09 1.61633e-09 -6.69320e-10 -1.11903e-09 -1.36798e-09 9.58533e-10 7.70277e-10 -1.18008e-10 -2.65248e-10

#its5k_z12_q1
0 12 0 20
# precision: tgt 5.00e-03 max 2.82e-04 (5.6%) avg 2.46e-05 (0.5%)
-2.73410e-04 8.24773e-06 -7.56241e-06 -1.43834e-05 -1.07371e-07 2.25768e-07 1.74192e-06 -3.40990e-08 8.41252e-08 3.87757e-08 5.06450e-10 1.19404e-09 -1.39194e-09 -3.23123e-09 -1.11126e-09 6.09718e-10 1.01057e-09 -4.33588e-10 -2.22438e-10 1.53515e-12
# precision: tgt 5.00e-03 max 2.10e-04 (4.2%) avg 2.24e-05 (0.4%)
8.74418e-05 7.48834e-07 -6.24831e-06 3.68489e-05 -7.10493e-09 -1.00186e-07 9.39543e-08 2.13127e-07 1.71851e-06 6.78210e-09 5.37355e-11 7.20840e-10 -3.51693e-10 1.04435e-09 -1.55038e-09 -2.87422e-10 -1.42085e-09 -1.17104e-09 7.30346e-10 -6.42771e-11
# precision: tgt 5.00e-03 max 2.63e-04 (5.3%) avg 2.64e-05 (0.5%)
5.00668e+00 -1.06403e-05 5.63992e-05 -1.29110e-05 8.83846e-07 -1.13893e-07 -1.21969e-07 6.63750e-07 -2.48985e-07 -1.52723e-06 -2.74934e-10 -1.90546e-09 7.77881e-10 2.20142e-09 1.83722e-09 4.10666e-10 -1.03753e-10 1.16305e-09 3.84595e-10 -4.86077e-10

#its5k_z12_q2
0 12 1 20
# precision: tgt 5.00e-03 max 2.82e-04 (5.6%) avg 3.07e-05 (0.6%)
-5.44563e-04 2.51823e-06 1.70635e-06 -1.22625e-05 -1.31979e-07 7.84398e-08 1.68815e-06 1.29712e-07 -1.15888e-07 5.89294e-08 -1.13713e-09 -1.52331e-09 7.92587e-10 -1.89275e-09 -1.22608e-09 5.88898e-10 -1.89848e-09 1.14917e-09 -6.18602e-11 -1.47164e-10
# precision: tgt 5.00e-03 max 1.60e-04 (3.2%) avg 1.98e-05 (0.4%)
1.34740e-04 -2.25707e-06 -1.05984e-05 3.83336e-05 3.87632e-08 2.79946e-08 3.32545e-09 2.15482e-07 1.85011e-06 -3.80019e-08 7.34072e-11 -1.01453e-09 -3.12322e-10 -2.12927e-09 6.79744e-10 4.97503e-11 -1.46086e-09 -2.09391e-09 4.72019e-10 1.37875e-10
# precision: tgt 5.00e-03 max 2.70e-04 (5.4%) avg 3.51e-05 (0.7%)
5.00668e+00 -2.49538e-05 5.59135e-05 -1.21678e-05 6.16548e-07 -1.64535e-07 2.97388e-07 4.91578e-07 -2.30235e-07 -1.55304e-06 -1.03165e-09 -2.55316e-09 1.44451e-09 1.04562e-09 -1.57234e-09 -6.74548e-10 2.07794e-09 1.09564e-09 5.17207e-10 -4.36388e-10

#its5k_z12_q3
0 12 2 20
# precision: tgt 5.00e-03 max 2.34e-04 (4.7%) avg 3.80e-05 (0.8%)
-2.50757e-04 1.10889e-05 -3.89656e-06 -1.11551e-05 7.14176e-08 1.26159e-08 1.73972e-06 -6.10094e-08 1.05049e-07 4.30622e-08 1.55217e-09 -1.14951e-09 1.78551e-09 8.54399e-10 7.14352e-10 5.84457e-10 2.11178e-12 9.88502e-10 -1.30796e-10 -1.29508e-10
# precision: tgt 5.00e-03 max 2.93e-04 (5.9%) avg 3.71e-05 (0.7%)
-1.47936e-04 -4.50426e-06 -1.35898e-05 4.41468e-05 -6.98659e-08 5.98170e-08 1.38016e-07 -3.51795e-07 1.74321e-06 8.85920e-09 -8.33995e-10 2.56088e-09 1.10751e-09 -7.71345e-10 1.14738e-09 -1.20190e-10 -2.20666e-09 1.62573e-09 3.79657e-10 -2.37076e-10
# precision: tgt 5.00e-03 max 3.06e-04 (6.1%) avg 2.59e-05 (0.5%)
5.00655e+00 -2.50511e-05 2.87962e-05 -1.21871e-05 7.38194e-07 -3.87601e-08 3.01367e-07 6.83181e-07 2.22979e-07 -1.51549e-06 3.39756e-10 -9.41898e-10 1.11706e-09 1.03242e-09 1.59378e-09 -7.16057e-10 -2.80177e-10 1.17668e-09 -8.17324e-10 -6.17928e-10

#its5k_z12_q4
0 12 3 20
# precision: tgt 5.00e-03 max 2.91e-04 (5.8%) avg 2.45e-05 (0.5%)
-1.47031e-04 -6.04962e-06 -2.06112e-06 -1.38733e-05 2.50152e-07 -3.67254e-08 1.72775e-06 -1.31865e-07 -1.02195e-07 1.98019e-08 -1.96990e-09 -6.39220e-10 -1.05186e-09 2.80509e-10 1.60142e-09 6.47647e-10 -6.73453e-10 -2.43830e-10 3.94946e-10 8.01429e-11
# precision: tgt 5.00e-03 max 4.42e-04 (8.8%) avg 4.27e-05 (0.9%)
-6.98832e-05 7.30995e-06 -1.51024e-06 4.36409e-05 -8.77830e-08 -1.13480e-07 -8.78717e-08 -1.26936e-07 1.72462e-06 2.63234e-08 -1.23848e-10 -7.85450e-10 7.28688e-10 -2.89784e-09 -1.34954e-09 -6.50997e-11 -1.98351e-09 7.27380e-10 2.85492e-10 -2.99880e-10
# precision: tgt 5.00e-03 max 3.95e-04 (7.9%) avg 3.30e-05 (0.7%)
5.00644e+00 1.02445e-05 3.90637e-05 -1.29254e-05 5.44190e-07 1.00217e-08 -1.89400e-07 8.42466e-07 1.69681e-07 -1.50256e-06 9.19961e-10 -1.00985e-09 1.33146e-09 -2.50445e-09 -1.60801e-09 6.10933e-10 -1.51879e-10 7.02361e-10 -6.99959e-10 -6.64397e-10

#its5k_z13_q1
0 13 0 20
# precision: tgt 5.00e-03 max 1.82e-04 (3.6%) avg 1.69e-05 (0.3%)
-9.79685e-04 1.66340e-05 -2.41361e-06 1.49344e-06 -1.13510e-07 2.77352e-07 1.57098e-06 -9.42912e-08 1.14166e-08 -7.32264e-08 6.01826e-10 4.63678e-10 -1.26340e-09 -2.74428e-09 -1.48034e-09 1.43864e-09 1.19123e-09 -1.71903e-10 1.05260e-10 2.30135e-10
# precision: tgt 5.00e-03 max 2.56e-04 (5.1%) avg 2.65e-05 (0.5%)
-3.66870e-04 5.59328e-06 1.13015e-07 4.73651e-05 -3.55889e-09 -1.86276e-07 1.12452e-08 2.79559e-07 1.57953e-06 -6.98611e-08 -6.18893e-11 1.01351e-09 -2.77621e-10 1.81697e-09 -1.38637e-09 8.37217e-11 -2.03749e-09 -1.35982e-09 1.45914e-09 9.92028e-11
# precision: tgt 5.00e-03 max 2.25e-04 (4.5%) avg 2.72e-05 (0.5%)
5.00694e+00 3.03138e-06 6.84696e-05 -2.68821e-05 7.57449e-07 1.19482e-07 -3.76866e-07 6.00300e-07 -5.10516e-07 -1.31368e-06 2.11412e-10 -2.35626e-09 1.57977e-09 1.70791e-09 1.86994e-10 1.65157e-09 1.95436e-11 1.76845e-09 1.71917e-09 -1.48139e-09

#its5k_z13_q2
0 13 1 20
# precision: tgt 5.00e-03 max 3.07e-04 (6.1%) avg 4.77e-05 (1.0%)
-4.69687e-04 5.28710e-06 9.28818e-07 -1.38706e-05 -2.71450e-07 4.47422e-08 1.55772e-06 2.43213e-07 -1.70509e-07 6.73192e-08 -1.91787e-09 -1.61836e-09 1.33674e-09 -1.97337e-09 -8.64721e-10 1.36457e-09 -2.71880e-09 8.99860e-10 3.26178e-10 -1.49352e-10
# precision: tgt 5.00e-03 max 1.95e-04 (3.9%) avg 2.67e-05 (0.5%)
-2.16643e-04 -4.65178e-07 -1.02830e-06 4.61289e-05 9.74520e-08 -5.16479e-09 3.18997e-08 1.55407e-07 1.71544e-06 -8.72398e-08 2.95378e-10 -2.41613e-09 -1.93421e-10 -3.97673e-09 1.33693e-09 -1.53838e-10 -1.87027e-09 -1.57448e-09 1.02768e-09 2.03496e-10
# precision: tgt 5.00e-03 max 2.28e-04 (4.6%) avg 3.21e-05 (0.6%)
5.00714e+00 -3.20153e-05 6.69757e-05 -2.97957e-05 6.29225e-07 -3.02083e-07 4.82654e-07 4.04361e-07 -4.09971e-07 -1.33344e-06 -5.94815e-10 -2.74055e-09 1.91135e-09 5.26024e-10 2.03764e-11 -1.64021e-09 1.79213e-09 2.12332e-09 1.22631e-09 -1.31920e-09

#its5k_z13_q3
0 13 2 20
# precision: tgt 5.00e-03 max 3.00e-04 (6.0%) avg 4.18e-05 (0.8%)
4.64579e-04 2.03484e-05 -5.55926e-07 -2.71083e-05 4.64482e-08 4.44217e-09 1.54306e-06 3.65820e-08 9.47027e-08 1.55854e-07 1.44177e-09 -1.82989e-09 1.76623e-09 9.77983e-10 4.31470e-10 1.50516e-09 9.60946e-10 1.13966e-09 -5.12472e-11 -3.62357e-10
# precision: tgt 5.00e-03 max 4.01e-04 (8.0%) avg 3.87e-05 (0.8%)
3.22809e-04 -2.34660e-06 -9.34863e-06 3.32340e-05 2.94553e-10 1.00074e-07 1.44710e-07 -4.89890e-07 1.57529e-06 8.03158e-08 -5.52584e-10 3.41172e-09 9.53685e-10 -1.18740e-09 1.02044e-09 -1.78120e-10 -3.15936e-09 1.80646e-09 1.29047e-09 -3.34010e-10
# precision: tgt 5.00e-03 max 2.48e-04 (5.0%) avg 2.62e-05 (0.5%)
5.00643e+00 -3.86927e-05 1.61506e-05 -1.51047e-05 6.58973e-07 1.37153e-07 5.59476e-07 6.17551e-07 4.79490e-07 -1.41702e-06 2.57644e-10 -9.30091e-10 1.75563e-09 1.60232e-09 2.55393e-10 -1.96436e-09 -4.71321e-10 1.73521e-09 -2.09489e-09 -1.19313e-09

#its5k_z13_q4
0 13 3 20
# precision: tgt 5.00e-03 max 3.93e-04 (7.9%) avg 2.87e-05 (0.6%)
-7.95056e-04 1.17780e-07 -5.57918e-06 1.02532e-06 3.33765e-07 7.87238e-10 1.57430e-06 -1.13697e-07 -2.73334e-08 -8.48855e-08 -2.79182e-09 -1.30893e-09 -1.13800e-09 7.22368e-10 1.98926e-09 1.46427e-09 -2.97798e-10 -5.55340e-11 2.86443e-11 2.83700e-10
# precision: tgt 5.00e-03 max 5.22e-04 (10.4%) avg 4.86e-05 (1.0%)
-4.25965e-05 2.77456e-06 3.26782e-07 4.44453e-05 4.02724e-09 -2.42461e-07 -8.55333e-08 -3.50390e-07 1.58250e-06 -1.34099e-09 -5.88003e-10 -8.15588e-11 4.58033e-10 -3.76272e-09 -1.09954e-09 5.90633e-11 -3.55894e-09 1.38392e-09 1.19356e-09 -1.24973e-10
# precision: tgt 5.00e-03 max 4.13e-04 (8.3%) avg 2.90e-05 (0.6%)
5.00636e+00 1.88383e-05 2.10669e-05 -1.69330e-05 4.71191e-07 -1.96370e-07 -3.65418e-07 7.16011e-07 4.97092e-07 -1.39463e-06 1.20656e-09 -9.65695e-10 1.68502e-09 -3.50148e-09 -2.59191e-10 1.57655e-09 -6.75789e-10 1.61923e-09 -2.17711e-09 -1.26026e-09

#its5k_z14_q1
0 14 0 20
# precision: tgt 5.00e-03 max 1.54e-04 (3.1%) avg 3.00e-05 (0.6%)
-3.23845e-03 4.78461e-05 -8.57863e-06 4.01908e-05 -7.84687e-08 2.89572e-07 1.14720e-06 -1.14449e-07 9.97998e-08 -2.89784e-07 2.40642e-10 -4.14472e-11 -1.11719e-09 -1.99894e-09 -1.68667e-09 2.80229e-09 1.20055e-09 -1.90454e-10 -1.52822e-10 6.22742e-10
# precision: tgt 5.00e-03 max 2.80e-04 (5.6%) avg 2.96e-05 (0.6%)
-2.91256e-03 -1.68763e-07 3.28585e-05 9.19890e-05 1.16131e-08 -3.05064e-07 9.27783e-08 3.55987e-07 1.14192e-06 -3.29493e-07 -5.89945e-12 1.35030e-09 -4.64006e-10 2.38541e-09 -9.92497e-10 -1.59653e-10 -2.48264e-09 -1.61101e-09 2.90699e-09 5.98614e-10
# precision: tgt 5.00e-03 max 2.71e-04 (5.4%) avg 2.45e-05 (0.5%)
5.00779e+00 3.29664e-05 8.96318e-05 -5.24949e-05 5.43219e-07 5.35718e-07 -7.56914e-07 4.52501e-07 -8.06768e-07 -1.07869e-06 -7.70639e-11 -1.83336e-09 3.12524e-09 2.10080e-09 -2.94203e-09 2.86502e-09 -2.28400e-10 2.87838e-09 2.75363e-09 -2.16171e-09

#its5k_z14_q2
0 14 1 20
# precision: tgt 5.00e-03 max 3.25e-04 (6.5%) avg 4.89e-05 (1.0%)
2.28500e-03 3.45524e-05 -1.59602e-06 -6.11362e-05 -3.82618e-07 4.46597e-08 1.11943e-06 3.85169e-07 -1.98095e-07 3.34992e-07 -1.75867e-09 -1.37203e-09 2.15822e-09 -1.85560e-09 -8.07648e-10 3.00043e-09 -2.79626e-09 5.33585e-11 5.95243e-10 -6.45638e-10
# precision: tgt 5.00e-03 max 2.64e-04 (5.3%) avg 3.21e-05 (0.6%)
-2.65310e-03 7.49244e-06 3.64178e-05 8.73720e-05 1.50229e-07 -1.22937e-08 -3.53816e-08 1.50709e-07 1.24067e-06 -3.13562e-07 7.59172e-11 -2.87364e-09 -5.95054e-10 -5.04308e-09 1.66769e-09 -7.50581e-11 -2.60028e-09 -1.18168e-09 2.50546e-09 5.98691e-10
# precision: tgt 5.00e-03 max 2.97e-04 (5.9%) avg 2.57e-05 (0.5%)
5.00928e+00 -6.13663e-05 1.05448e-04 -8.38772e-05 5.47012e-07 -5.99970e-07 8.97138e-07 2.89139e-07 -9.08295e-07 -8.91730e-07 -5.01691e-10 -1.17251e-09 2.23624e-09 5.93458e-10 2.63019e-09 -3.21972e-09 7.56495e-10 3.68573e-09 2.72339e-09 -2.49855e-09

#its5k_z14_q3
0 14 2 20
# precision: tgt 5.00e-03 max 3.36e-04 (6.7%) avg 4.40e-05 (0.9%)
2.24114e-03 5.33458e-05 -9.54103e-06 -5.71410e-05 -3.00333e-08 -4.50981e-08 1.07213e-06 1.33603e-07 2.38993e-07 3.18369e-07 1.20636e-09 -2.01507e-09 2.08126e-09 2.32996e-10 3.68198e-10 3.12235e-09 1.91542e-09 1.09457e-09 -5.29728e-10 -6.35744e-10
# precision: tgt 5.00e-03 max 5.40e-04 (10.8%) avg 4.12e-05 (0.8%)
2.93757e-03 -2.63758e-06 2.47431e-05 -1.07406e-05 1.08014e-07 2.50578e-07 2.12344e-07 -5.97239e-07 1.09939e-06 3.21329e-07 -4.39759e-10 3.90817e-09 3.91231e-10 -4.85979e-10 5.45203e-10 -5.43881e-10 -3.73068e-09 2.19811e-09 2.93449e-09 -7.56093e-10
# precision: tgt 5.00e-03 max 2.17e-04 (4.3%) avg 2.27e-05 (0.5%)
5.00863e+00 -6.52746e-05 -1.04546e-05 -6.72014e-05 5.08133e-07 5.37288e-07 9.19971e-07 4.70188e-07 8.40467e-07 -1.00725e-06 4.89337e-10 -1.17814e-09 2.88390e-09 1.02447e-09 -2.74888e-09 -3.19344e-09 -2.12773e-10 2.79479e-09 -3.34287e-09 -2.26505e-09

#its5k_z14_q4
0 14 3 20
# precision: tgt 5.00e-03 max 3.52e-04 (7.0%) avg 3.42e-05 (0.7%)
-3.44624e-03 3.18230e-05 1.62088e-06 4.61078e-05 4.38930e-07 1.05686e-07 1.13637e-06 -4.24952e-08 -1.04864e-07 -3.34067e-07 -3.27857e-09 -1.64502e-09 -1.50711e-09 7.72177e-10 1.48089e-09 2.92557e-09 -2.79685e-10 -5.10957e-10 2.19987e-10 7.28501e-10
# precision: tgt 5.00e-03 max 6.09e-04 (12.2%) avg 5.13e-05 (1.0%)
2.45291e-03 2.98403e-06 3.08805e-05 2.47020e-07 5.94855e-08 -3.25316e-07 -1.29718e-07 -5.97742e-07 1.08317e-06 2.54894e-07 -5.03427e-10 -1.02637e-10 1.55119e-11 -3.63810e-09 -4.90815e-10 3.66530e-10 -4.23316e-09 2.47705e-09 3.04643e-09 -6.14823e-10
# precision: tgt 5.00e-03 max 3.37e-04 (6.7%) avg 2.73e-05 (0.5%)
5.00802e+00 4.38651e-05 -1.12470e-05 -6.01457e-05 3.37869e-07 -5.28883e-07 -7.00523e-07 5.81377e-07 9.29647e-07 -1.03288e-06 8.81941e-10 -1.16187e-09 2.79232e-09 -2.59360e-09 2.41442e-09 2.68992e-09 -1.40968e-10 2.74795e-09 -3.63303e-09 -2.24739e-09

#its5k_z15_q1
0 15 0 20
# precision: tgt 5.00e-03 max 2.16e-04 (4.3%) avg 4.45e-05 (0.9%)
-1.17116e-02 1.33317e-04 -4.39986e-05 1.55067e-04 2.40173e-07 9.57021e-08 2.13898e-07 -2.03403e-07 5.14473e-07 -8.05873e-07 1.77460e-10 5.09185e-10 -2.70591e-09 -2.34130e-09 -8.09739e-10 5.33961e-09 9.05888e-10 4.47086e-10 -1.36433e-09 1.39038e-09
# precision: tgt 5.00e-03 max 2.63e-04 (5.3%) avg 2.73e-05 (0.5%)
-9.93539e-03 -3.28099e-05 1.16962e-04 1.87185e-04 -5.69608e-08 -5.74708e-07 4.77802e-07 6.99927e-07 2.29181e-07 -7.58359e-07 -3.20843e-11 5.25774e-10 -1.01551e-11 2.92692e-09 4.40050e-10 -1.29591e-09 -2.03203e-09 -3.61005e-09 5.40593e-09 1.24071e-09
# precision: tgt 5.00e-03 max 3.82e-04 (7.6%) avg 3.42e-05 (0.7%)
5.01156e+00 9.63538e-05 1.37983e-04 -1.25177e-04 2.33566e-07 1.24211e-06 -1.37733e-06 1.59802e-07 -1.29155e-06 -6.28230e-07 -1.64249e-09 4.27912e-10 5.28351e-09 3.74701e-09 -7.71900e-09 4.37481e-09 -1.12869e-09 4.66588e-09 3.99590e-09 -3.07157e-09

#its5k_z15_q2
0 15 1 20
# precision: tgt 5.00e-03 max 2.77e-04 (5.5%) avg 4.03e-05 (0.8%)
9.45973e-03 1.30466e-04 1.36477e-05 -1.54125e-04 -5.81754e-07 4.67055e-08 8.36056e-08 5.75798e-07 -4.28722e-07 7.28911e-07 -9.82450e-11 -1.59199e-09 4.08881e-09 -2.56323e-09 -6.72108e-10 5.91527e-09 -1.45857e-09 -1.70166e-09 1.49013e-09 -1.18650e-09
# precision: tgt 5.00e-03 max 2.75e-04 (5.5%) avg 3.91e-05 (0.8%)
-9.80588e-03 3.28844e-05 1.30992e-04 1.81725e-04 -1.30070e-08 6.80862e-08 -3.52449e-07 3.77175e-07 2.37735e-07 -7.22962e-07 -1.92588e-10 -3.28882e-09 1.10780e-10 -5.67120e-09 1.34352e-09 8.57289e-10 -3.04070e-09 -2.11145e-09 5.13212e-09 1.18080e-09
# precision: tgt 5.00e-03 max 3.77e-04 (7.5%) avg 3.15e-05 (0.6%)
5.01686e+00 -1.40336e-04 2.03560e-04 -2.21242e-04 -1.16920e-07 -1.35840e-06 1.55610e-06 1.52861e-07 -1.94605e-06 -8.27895e-08 9.72621e-10 2.51103e-09 5.84046e-09 -9.26985e-10 8.05674e-09 -4.63094e-09 -1.31189e-09 5.39032e-09 5.39389e-09 -4.06148e-09

#its5k_z15_q3
0 15 2 20
# precision: tgt 5.00e-03 max 4.71e-04 (9.4%) avg 5.26e-05 (1.1%)
1.25657e-02 1.38514e-04 -5.13984e-05 -1.99162e-04 -3.99243e-07 -3.48492e-08 1.04231e-07 3.71986e-07 7.34510e-07 9.66640e-07 2.36129e-09 -1.00631e-09 4.71580e-09 -3.00603e-09 -3.97127e-10 5.93101e-09 2.38609e-09 -2.29113e-10 -2.04434e-09 -1.61706e-09
# precision: tgt 5.00e-03 max 5.03e-04 (10.1%) avg 4.30e-05 (0.9%)
9.69707e-03 -2.47795e-05 1.30810e-04 -9.81772e-05 3.08946e-07 5.39060e-07 5.29476e-07 -8.13652e-07 1.34159e-09 6.92193e-07 -9.17816e-11 2.84194e-09 -5.82851e-10 1.76767e-09 -5.18478e-10 -1.56763e-09 -2.84491e-09 4.03487e-09 5.92555e-09 -1.26329e-09
# precision: tgt 5.00e-03 max 2.39e-04 (4.8%) avg 1.93e-05 (0.4%)
5.01898e+00 -1.16719e-04 -6.69519e-05 -2.36332e-04 1.93222e-07 1.20878e-06 1.42395e-06 1.72143e-07 1.39231e-06 -8.53010e-08 1.44784e-09 -2.51950e-09 4.84642e-09 -1.41551e-09 -7.31384e-09 -4.44243e-09 8.36327e-10 4.57062e-09 -4.73335e-09 -3.94489e-09

#its5k_z15_q4
0 15 3 20
# precision: tgt 5.00e-03 max 2.85e-04 (5.7%) avg 4.42e-05 (0.9%)
-1.06631e-02 1.25919e-04 2.67524e-05 1.39298e-04 8.32604e-07 4.38993e-07 1.09262e-07 -9.69801e-08 -4.19365e-07 -7.27539e-07 -2.47531e-09 -2.50303e-09 -4.00622e-09 -1.03725e-09 -4.80044e-10 5.78033e-09 -6.33779e-10 -2.10079e-10 1.19872e-09 1.26704e-09
# precision: tgt 5.00e-03 max 6.72e-04 (13.4%) avg 4.92e-05 (1.0%)
1.14106e-02 2.70213e-05 1.39907e-04 -1.16965e-04 4.93989e-08 -4.54368e-07 -3.91927e-07 -9.25999e-07 -9.56859e-08 7.56586e-07 1.32600e-10 -1.75066e-09 -4.98532e-10 -3.55722e-09 7.12967e-10 1.20613e-09 -3.02615e-09 4.75840e-09 6.27982e-09 -1.31569e-09
# precision: tgt 5.00e-03 max 2.77e-04 (5.5%) avg 3.13e-05 (0.6%)
5.01619e+00 1.20884e-04 -2.90224e-05 -1.93440e-04 1.46427e-07 -1.13692e-06 -1.49135e-06 2.47330e-07 1.08293e-06 -3.04642e-07 -5.39547e-10 -2.21206e-09 4.48048e-09 1.21961e-09 7.00518e-09 4.68831e-09 1.82200e-09 5.00709e-09 -3.98732e-09 -3.58116e-09

#its5k_z16_q1
0 16 0 20
# precision: tgt 5.00e-03 max 7.28e-04 (14.6%) avg 1.20e-04 (2.4%)
-7.55433e-02 9.47619e-04 1.73048e-04 7.78907e-04 5.69582e-07 -1.60469e-06 -6.46936e-06 -1.72788e-07 -1.01648e-06 -2.74583e-06 -2.14711e-09 6.74513e-10 -3.33664e-09 -2.93780e-10 3.73509e-09 1.92562e-08 3.02655e-09 -1.01140e-09 1.70998e-09 3.22641e-09
# precision: tgt 5.00e-03 max 8.45e-04 (16.9%) avg 1.42e-04 (2.8%)
-7.59721e-02 1.68660e-04 1.22141e-03 8.40451e-04 -5.41355e-07 3.19529e-07 -1.06857e-06 -1.00870e-06 -8.17021e-06 -2.81448e-06 -6.43338e-10 -2.21851e-09 1.83635e-09 -2.50379e-09 -3.39025e-10 1.54401e-09 4.88816e-09 -1.68384e-09 2.23356e-08 3.20162e-09
# precision: tgt 5.00e-03 max 4.73e-04 (9.5%) avg 7.02e-05 (1.4%)
5.17013e+00 9.50956e-04 1.10893e-03 -2.15570e-03 -4.75946e-06 -1.32689e-06 -6.50651e-06 -4.51285e-06 -7.45895e-06 7.98819e-06 -9.09465e-10 -6.36254e-10 2.50178e-08 3.64699e-09 4.34452e-09 1.10170e-08 -2.30153e-09 2.46037e-08 1.26100e-08 -1.51803e-08

#its5k_z16_q2
0 16 1 20
# precision: tgt 5.00e-03 max 6.90e-04 (13.8%) avg 9.43e-05 (1.9%)
7.00173e-02 1.32142e-03 -1.61714e-04 -7.21408e-04 1.33853e-06 4.32642e-07 -8.71664e-06 2.45557e-07 1.16312e-06 2.42143e-06 -3.39681e-10 -6.20013e-09 -1.20983e-09 -9.64932e-09 -1.42959e-09 2.28508e-08 -2.20601e-09 -1.44653e-10 -2.06774e-09 -2.72667e-09
# precision: tgt 5.00e-03 max 1.12e-03 (22.4%) avg 1.22e-04 (2.4%)
-6.59945e-02 -2.97171e-04 1.18391e-03 7.20633e-04 -1.59446e-07 1.91568e-06 1.83979e-06 1.17341e-06 -8.33734e-06 -2.33435e-06 -1.86858e-09 -7.35330e-09 2.53240e-10 -1.78084e-08 -2.10345e-09 -2.94939e-09 -1.15816e-08 -2.85452e-09 2.27557e-08 2.56862e-09
# precision: tgt 5.00e-03 max 4.06e-04 (8.1%) avg 3.42e-05 (0.7%)
5.21910e+00 -9.92227e-04 1.07704e-03 -2.68269e-03 -4.27431e-06 1.62027e-06 6.89426e-06 -5.12655e-06 -7.01813e-06 9.86705e-06 3.59553e-10 -2.50613e-09 2.38366e-08 -2.25651e-09 -5.47201e-09 -1.18289e-08 1.81037e-09 2.49587e-08 1.16958e-08 -1.74042e-08

#its5k_z16_q3
0 16 2 20
# precision: tgt 5.00e-03 max 1.03e-03 (20.5%) avg 1.72e-04 (3.4%)
6.30958e-02 9.28313e-04 4.51425e-05 -7.09844e-04 6.03838e-07 3.35178e-07 -6.03695e-06 4.92493e-07 -1.73563e-07 2.60580e-06 -5.00822e-10 -4.75370e-10 -2.79279e-10 2.28595e-09 1.83345e-09 1.80866e-08 5.72058e-10 -1.25545e-09 1.82962e-10 -3.21047e-09
# precision: tgt 5.00e-03 max 8.42e-04 (16.8%) avg 1.47e-04 (2.9%)
6.90086e-02 -6.79406e-05 1.00237e-03 -6.99631e-04 6.58028e-07 -6.19803e-07 6.12022e-07 2.03338e-06 -6.31515e-06 2.68130e-06 6.71837e-10 4.61581e-09 -5.85899e-10 -1.17687e-08 1.48729e-10 -1.09649e-09 9.67797e-09 -4.00653e-10 1.84180e-08 -3.35425e-09
# precision: tgt 5.00e-03 max 5.15e-04 (10.3%) avg 3.80e-05 (0.8%)
5.12723e+00 -9.33689e-04 -9.43422e-04 -1.68134e-03 -5.14485e-06 -1.08699e-06 6.27781e-06 -4.24276e-06 6.89479e-06 6.24295e-06 2.17283e-10 -1.81926e-09 2.56771e-08 4.27797e-10 3.96552e-09 -1.05823e-08 2.44212e-09 2.41321e-08 -1.21693e-08 -1.30463e-08

#its5k_z16_q4
0 16 3 20
# precision: tgt 5.00e-03 max 5.10e-04 (10.2%) avg 9.30e-05 (1.9%)
-6.93235e-02 8.83381e-04 -7.60112e-06 7.52435e-04 -2.47351e-07 3.92868e-07 -5.84277e-06 -4.93718e-07 -1.61032e-07 -2.79878e-06 -3.63851e-09 -8.02816e-09 -9.70684e-10 -8.69715e-09 -5.23573e-11 1.80139e-08 -3.05090e-09 5.35542e-10 5.43355e-10 3.45956e-09
# precision: tgt 5.00e-03 max 1.09e-03 (21.8%) avg 1.46e-04 (2.9%)
9.83878e-02 6.07697e-05 9.31276e-04 -1.01974e-03 1.32349e-07 -1.43274e-06 -6.44794e-07 -8.32341e-07 -6.43976e-06 3.82630e-06 -2.92167e-09 -1.80187e-09 9.82097e-10 -9.17811e-09 1.29532e-09 1.08480e-09 -1.12393e-08 1.18909e-09 1.89114e-08 -4.70847e-09
# precision: tgt 5.00e-03 max 5.13e-04 (10.3%) avg 6.99e-05 (1.4%)
5.16825e+00 9.17594e-04 -1.06026e-03 -2.13755e-03 -4.26172e-06 1.68434e-06 -6.35154e-06 -4.82555e-06 7.53201e-06 7.92014e-06 5.47089e-10 -3.82951e-10 2.30572e-08 -2.01014e-09 -6.15959e-09 1.08873e-08 -1.23303e-09 2.46344e-08 -1.31727e-08 -1.50914e-08

#its5k_z17_q1
0 17 0 20
# precision: tgt 5.00e-03 max 7.46e-04 (14.9%) avg 1.10e-04 (2.2%)
-2.06659e-02 2.22652e-03 -1.55819e-03 3.34330e-04 2.13550e-06 5.76906e-07 -1.55412e-05 4.21240e-07 9.69774e-06 -1.51444e-06 2.07590e-10 1.51176e-09 -9.28033e-09 -2.88262e-09 -2.80168e-09 3.52987e-08 2.18737e-09 -2.27807e-09 -1.49498e-08 2.03808e-09
# precision: tgt 5.00e-03 max 1.11e-03 (22.1%) avg 1.49e-04 (3.0%)
-8.73477e-01 -4.36680e-04 1.42616e-03 8.39515e-03 5.13278e-07 2.22097e-06 2.46208e-06 -1.46466e-07 -1.00671e-05 -2.66088e-05 -1.18590e-09 -4.07324e-09 -1.24425e-09 9.36205e-10 -6.75365e-09 -3.57839e-09 4.10962e-09 -4.23106e-09 2.63039e-08 2.81168e-08
# precision: tgt 5.00e-03 max 4.63e-04 (9.3%) avg 6.24e-05 (1.2%)
5.49188e+00 1.49374e-03 2.04713e-03 -5.40729e-03 -7.68817e-06 2.26660e-06 -9.68437e-06 -7.27496e-06 -1.29617e-05 1.88934e-05 -1.51924e-09 7.35542e-10 3.46751e-08 3.18265e-09 -7.94614e-09 1.56563e-08 -1.57043e-09 3.34753e-08 2.06068e-08 -2.73261e-08

#its5k_z17_q2
0 17 1 20
# precision: tgt 5.00e-03 max 9.20e-04 (18.4%) avg 1.72e-04 (3.4%)
2.31136e-01 1.86095e-03 8.18815e-04 -2.29473e-03 -1.15261e-06 1.68451e-06 -1.29903e-05 2.77058e-07 -5.08413e-06 7.50266e-06 -2.71290e-09 -1.14820e-08 6.19686e-09 -1.23184e-08 -6.02189e-09 3.09846e-08 -3.06653e-09 -2.30067e-10 7.88495e-09 -8.15530e-09
# precision: tgt 5.00e-03 max 9.71e-04 (19.4%) avg 1.69e-04 (3.4%)
-6.53680e-01 6.01285e-04 1.46137e-03 6.33271e-03 3.62870e-07 1.06166e-06 -3.86012e-06 3.66587e-06 -1.09387e-05 -2.01609e-05 -2.38511e-09 -1.15884e-08 -1.27637e-09 -1.90082e-08 2.30393e-11 6.14887e-09 -9.20098e-09 -1.16171e-08 2.82908e-08 2.14055e-08
# precision: tgt 5.00e-03 max 4.15e-04 (8.3%) avg 5.06e-05 (1.0%)
5.46261e+00 -1.76090e-03 1.94916e-03 -5.13321e-03 -6.80544e-06 -1.66803e-06 1.14745e-05 -7.89477e-06 -1.21830e-05 1.80375e-05 7.45659e-10 -8.12146e-10 3.21188e-08 -1.95885e-09 5.90142e-09 -1.86347e-08 6.98469e-10 3.44607e-08 1.92548e-08 -2.64367e-08

#its5k_z17_q3
0 17 2 20
# precision: tgt 5.00e-03 max 1.98e-03 (39.6%) avg 2.13e-04 (4.3%)
6.22059e-01 3.16049e-03 -7.84371e-04 -5.86642e-03 -3.49444e-06 -4.67575e-07 -2.16502e-05 -1.90540e-06 4.49333e-06 1.83394e-05 -1.69617e-09 -2.85591e-09 1.22250e-08 -4.69002e-11 3.36311e-09 4.51236e-08 -1.56650e-10 5.99516e-09 -6.33746e-09 -1.90720e-08
# precision: tgt 5.00e-03 max 1.57e-03 (31.5%) avg 1.79e-04 (3.6%)
2.96713e-01 -1.01998e-03 2.53705e-03 -2.82417e-03 -4.30812e-07 -4.24123e-06 6.08479e-06 -1.13325e-06 -1.76235e-05 9.16950e-06 -1.31450e-09 2.30189e-09 1.90164e-09 -1.38906e-08 1.07593e-08 -9.00999e-09 6.57749e-09 8.52267e-09 3.87903e-08 -9.82521e-09
# precision: tgt 5.00e-03 max 4.97e-04 (9.9%) avg 5.51e-05 (1.1%)
5.47808e+00 -1.79649e-03 -1.56663e-03 -5.27640e-03 -8.10757e-06 2.40046e-06 1.14593e-05 -7.03729e-06 1.04778e-05 1.84724e-05 4.84255e-10 -1.29754e-09 3.54698e-08 -7.69176e-10 -7.88378e-09 -1.83367e-08 1.74740e-09 3.29227e-08 -1.72897e-08 -2.68686e-08

#its5k_z17_q4
0 17 3 20
# precision: tgt 5.00e-03 max 9.43e-04 (18.9%) avg 1.35e-04 (2.7%)
-4.83678e-01 1.75016e-03 4.54639e-04 4.64739e-03 2.25768e-06 -1.59559e-06 -1.26110e-05 6.53340e-07 -2.61239e-06 -1.48947e-05 -2.59779e-09 -1.00063e-08 -9.60530e-09 -1.49923e-08 5.26080e-09 3.08753e-08 -2.66480e-09 -2.45555e-09 3.78047e-09 1.58583e-08
# precision: tgt 5.00e-03 max 1.28e-03 (25.6%) avg 1.74e-04 (3.5%)
4.04150e-01 7.90587e-04 2.79019e-03 -3.77440e-03 -7.22086e-07 -2.30541e-08 -4.98952e-06 -5.66462e-06 -1.99347e-05 1.19554e-05 -2.39163e-09 -6.63894e-09 3.01342e-09 -8.63463e-09 -2.08312e-09 7.65283e-09 -1.16187e-08 1.64679e-08 4.30391e-08 -1.25342e-08
# precision: tgt 5.00e-03 max 3.77e-04 (7.5%) avg 5.52e-05 (1.1%)
5.48314e+00 1.34129e-03 -2.07908e-03 -5.32234e-03 -6.88216e-06 -1.41163e-06 -8.79843e-06 -7.51175e-06 1.35022e-05 1.86064e-05 -3.11094e-10 -7.05753e-10 3.19443e-08 3.65961e-10 4.92600e-09 1.43886e-08 -1.13097e-10 3.36555e-08 -2.18307e-08 -2.69959e-08

#its5k_z18_q1
0 18 0 20
# precision: tgt 5.00e-03 max 7.24e-04 (14.5%) avg 9.47e-05 (1.9%)
-5.72353e-01 6.78637e-03 -2.63305e-04 4.61515e-03 7.67612e-06 3.57366e-06 -4.26637e-05 1.21292e-06 1.24334e-06 -1.24236e-05 -6.87801e-09 1.96307e-08 -2.49698e-08 -1.59042e-08 -1.29675e-08 7.58161e-08 4.53505e-09 -4.41216e-09 -1.34230e-09 1.11179e-08
# precision: tgt 5.00e-03 max 6.81e-04 (13.6%) avg 1.05e-04 (2.1%)
-5.36623e-01 -4.71009e-04 6.91930e-03 4.40119e-03 1.85303e-06 3.67894e-06 2.31802e-06 7.84004e-06 -4.35579e-05 -1.17907e-05 3.08582e-09 -1.19012e-08 -6.03821e-09 1.74852e-08 -1.33126e-08 -2.70370e-09 -8.32574e-09 -2.47324e-08 7.71993e-08 1.05126e-08
# precision: tgt 5.00e-03 max 4.96e-04 (9.9%) avg 5.17e-05 (1.0%)
6.34955e+00 5.00988e-03 5.32501e-03 -1.31957e-02 -2.27403e-05 -4.79699e-08 -2.68001e-05 -2.40721e-05 -2.80945e-05 4.22113e-05 -1.22017e-09 1.50091e-09 7.74396e-08 2.20743e-09 -1.16551e-09 3.58913e-08 1.08959e-10 8.07795e-08 3.71725e-08 -5.03791e-08

#its5k_z18_q2
0 18 1 20
# precision: tgt 5.00e-03 max 5.43e-04 (10.9%) avg 9.26e-05 (1.9%)
6.14835e-01 6.87470e-03 -1.33560e-05 -4.95128e-03 -7.74786e-06 3.85231e-06 -4.30794e-05 -1.73566e-06 3.11502e-07 1.32374e-05 -7.34012e-09 -1.68503e-08 2.51177e-08 -1.48974e-08 -1.33849e-08 7.62874e-08 -4.53245e-09 5.88758e-09 -8.21095e-10 -1.17894e-08
# precision: tgt 5.00e-03 max 8.50e-04 (17.0%) avg 1.05e-04 (2.1%)
-5.82457e-01 2.48053e-04 6.93591e-03 4.73520e-03 1.12838e-06 -4.12766e-06 -1.17715e-06 7.78047e-06 -4.37146e-05 -1.25869e-05 -4.89719e-09 -1.69697e-08 -4.31835e-09 -1.74709e-08 1.38714e-08 1.28281e-09 -5.46138e-09 -2.57722e-08 7.76190e-08 1.11291e-08
# precision: tgt 5.00e-03 max 5.01e-04 (10.0%) avg 5.52e-05 (1.1%)
6.37003e+00 -5.11350e-03 5.31002e-03 -1.33576e-02 -2.27327e-05 5.08826e-07 2.73585e-05 -2.33608e-05 -2.81304e-05 4.26371e-05 -1.36756e-10 1.72363e-09 7.69712e-08 -7.43324e-10 -1.52405e-10 -3.67523e-08 -1.37806e-09 7.93927e-08 3.73372e-08 -5.07522e-08

#its5k_z18_q3
0 18 2 20
# precision: tgt 5.00e-03 max 5.95e-04 (11.9%) avg 8.24e-05 (1.6%)
5.82164e-01 6.84014e-03 -1.75139e-04 -4.69851e-03 -9.99220e-06 -4.72177e-06 -4.32347e-05 -2.01184e-06 6.74790e-07 1.25838e-05 -2.53116e-08 -6.32918e-09 2.47812e-08 -2.40210e-08 1.14930e-08 7.64144e-08 -3.46590e-10 5.30905e-09 -5.51542e-10 -1.12290e-08
# precision: tgt 5.00e-03 max 7.06e-04 (14.1%) avg 8.88e-05 (1.8%)
6.22524e-01 -2.57908e-04 6.92880e-03 -4.97822e-03 -2.57097e-06 -4.94345e-06 1.06288e-06 -1.00569e-05 -4.38852e-05 1.34767e-05 -3.81699e-09 -2.01841e-08 5.99770e-09 -1.05975e-08 1.11254e-08 -1.04470e-09 -2.54726e-08 2.52539e-08 7.74609e-08 -1.21473e-08
# precision: tgt 5.00e-03 max 5.68e-04 (11.4%) avg 5.30e-05 (1.1%)
6.35289e+00 -5.25068e-03 -5.20850e-03 -1.32188e-02 -2.24562e-05 2.24205e-07 2.81317e-05 -2.31749e-05 2.82362e-05 4.22682e-05 1.25113e-09 -1.42728e-09 7.66990e-08 -2.49934e-09 -1.93454e-09 -3.77769e-08 1.50327e-09 7.86515e-08 -3.83799e-08 -5.04286e-08

#its5k_z18_q4
0 18 3 20
# precision: tgt 5.00e-03 max 7.74e-04 (15.5%) avg 1.07e-04 (2.1%)
-5.63677e-01 6.68429e-03 2.94311e-04 4.54501e-03 7.95809e-06 -5.10045e-06 -4.21599e-05 1.92571e-06 -1.26997e-06 -1.22310e-05 -8.90187e-09 -6.02158e-09 -2.46014e-08 -2.60174e-08 1.36702e-08 7.50457e-08 3.74618e-09 -3.70583e-09 1.43415e-09 1.09435e-08
# precision: tgt 5.00e-03 max 6.98e-04 (14.0%) avg 7.17e-05 (1.4%)
6.20722e-01 1.73544e-04 6.82289e-03 -4.96984e-03 -1.62459e-06 4.80979e-06 -7.52802e-07 -1.02326e-05 -4.33160e-05 1.34748e-05 -3.18413e-09 -2.08755e-08 5.37417e-09 4.89521e-09 -1.15924e-08 6.90251e-10 -2.76091e-08 2.54965e-08 7.67311e-08 -1.21645e-08
# precision: tgt 5.00e-03 max 4.41e-04 (8.8%) avg 5.59e-05 (1.1%)
6.35502e+00 5.17639e-03 -5.43973e-03 -1.32529e-02 -2.31952e-05 -5.04044e-07 -2.76360e-05 -2.32282e-05 2.93815e-05 4.24018e-05 -1.50010e-09 -2.82636e-10 7.89179e-08 3.38989e-09 2.69100e-09 3.68951e-08 2.26147e-10 7.82515e-08 -3.98490e-08 -5.05834e-08

#its5k_z19_q1
0 19 0 20
# precision: tgt 5.00e-03 max 7.75e-04 (15.5%) avg 1.19e-04 (2.4%)
-1.11847e+00 1.72219e-02 8.05397e-04 7.75595e-03 6.52112e-06 2.00956e-06 -9.42859e-05 1.06381e-06 -3.94524e-06 -1.79260e-05 -1.05627e-08 2.89770e-08 -2.20181e-08 -2.32700e-08 -9.57600e-09 1.39761e-07 6.17623e-09 -3.99264e-09 4.94935e-09 1.37711e-08
# precision: tgt 5.00e-03 max 1.10e-03 (22.0%) avg 1.50e-04 (3.0%)
-1.10373e+00 3.13336e-04 1.77216e-02 7.71122e-03 1.90548e-06 3.04814e-06 -1.60297e-06 6.36387e-06 -9.70250e-05 -1.77407e-05 7.76102e-09 -2.36746e-08 -6.63136e-09 2.87957e-08 -1.17969e-08 2.20184e-09 -1.23061e-08 -2.10810e-08 1.43469e-07 1.35555e-08
# precision: tgt 5.00e-03 max 5.96e-04 (11.9%) avg 6.21e-05 (1.2%)
8.90648e+00 6.83579e-03 7.05619e-03 -3.25439e-02 -4.69910e-05 -3.12602e-06 -3.15187e-05 -4.87860e-05 -3.22329e-05 9.07984e-05 -1.45991e-09 -3.71528e-10 1.38282e-07 4.64133e-09 6.42553e-09 3.62555e-08 -5.01903e-10 1.42557e-07 3.67107e-08 -9.08725e-08

#its5k_z19_q2
0 19 1 20
# precision: tgt 5.00e-03 max 8.27e-04 (16.5%) avg 1.61e-04 (3.2%)
1.09939e+00 1.70889e-02 -4.66340e-04 -7.71287e-03 -6.34701e-06 1.84473e-06 -9.35620e-05 -1.44999e-06 2.38997e-06 1.79977e-05 -1.08411e-08 -2.90840e-08 2.15340e-08 -2.35225e-08 -8.95590e-09 1.38737e-07 -5.67762e-09 4.80619e-09 -3.14128e-09 -1.39985e-08
# precision: tgt 5.00e-03 max 1.13e-03 (22.6%) avg 1.41e-04 (2.8%)
-1.12002e+00 -2.81202e-04 1.74244e-02 7.87871e-03 1.22538e-06 -4.00175e-06 1.52888e-06 4.98006e-06 -9.54235e-05 -1.82589e-05 -6.70244e-09 -2.69815e-08 -4.16817e-09 -3.29506e-08 1.44460e-08 -2.11888e-09 -1.02858e-08 -1.86908e-08 1.41455e-07 1.40577e-08
# precision: tgt 5.00e-03 max 5.64e-04 (11.3%) avg 5.60e-05 (1.1%)
8.89449e+00 -6.94460e-03 7.02456e-03 -3.24623e-02 -4.74605e-05 3.61508e-06 3.19957e-05 -4.75523e-05 -3.22801e-05 9.06128e-05 -1.78795e-09 -7.18284e-10 1.38472e-07 7.78690e-10 -8.56457e-09 -3.69029e-08 -1.24456e-09 1.39909e-07 3.69748e-08 -9.07311e-08

#its5k_z19_q3
0 19 2 20
# precision: tgt 5.00e-03 max 1.14e-03 (22.9%) avg 9.63e-05 (1.9%)
1.11935e+00 1.65916e-02 1.92112e-04 -7.89135e-03 -1.01956e-05 -4.57927e-06 -9.18345e-05 -1.57899e-06 -1.06562e-06 1.84990e-05 -2.85961e-08 2.96412e-09 2.51214e-08 -3.21515e-08 1.12913e-08 1.37027e-07 1.64807e-09 4.15670e-09 1.47241e-09 -1.44526e-08
# precision: tgt 5.00e-03 max 1.14e-03 (22.7%) avg 1.15e-04 (2.3%)
1.15021e+00 -2.50613e-05 1.70050e-02 -8.08331e-03 -2.49737e-06 -5.52642e-06 -1.26496e-07 -9.81121e-06 -9.40420e-05 1.91282e-05 -6.40181e-10 -3.02462e-08 5.92825e-09 -9.35312e-10 1.24897e-08 4.42131e-10 -2.84174e-08 2.45852e-08 1.39940e-07 -1.51116e-08
# precision: tgt 5.00e-03 max 5.94e-04 (11.9%) avg 6.08e-05 (1.2%)
8.88358e+00 -6.93462e-03 -7.00142e-03 -3.23584e-02 -4.69486e-05 -1.79215e-06 3.21724e-05 -4.78566e-05 3.27549e-05 9.03077e-05 -1.60244e-09 1.22518e-09 1.37281e-07 -1.11846e-09 3.77277e-09 -3.73800e-08 1.06675e-09 1.40287e-07 -3.84585e-08 -9.04471e-08

#its5k_z19_q4
0 19 3 20
# precision: tgt 5.00e-03 max 1.16e-03 (23.3%) avg 1.32e-04 (2.6%)
-1.12244e+00 1.68986e-02 -5.12294e-04 7.83140e-03 6.88465e-06 -4.53377e-06 -9.28152e-05 2.21416e-06 2.77718e-06 -1.82125e-05 -1.34330e-08 -1.47198e-08 -2.14489e-08 -2.94229e-08 1.32319e-08 1.37920e-07 3.77825e-09 -4.04456e-09 -3.62213e-09 1.40836e-08
# precision: tgt 5.00e-03 max 1.15e-03 (23.0%) avg 9.51e-05 (1.9%)
1.17269e+00 -2.51380e-04 1.70535e-02 -8.23198e-03 -1.40943e-06 4.25259e-06 1.28057e-06 -1.04887e-05 -9.42762e-05 1.94602e-05 -5.54061e-09 -2.72890e-08 5.04083e-09 -1.80529e-09 -1.02743e-08 -1.73762e-09 -2.96005e-08 2.61109e-08 1.40251e-07 -1.53606e-08
# precision: tgt 5.00e-03 max 6.36e-04 (12.7%) avg 5.84e-05 (1.2%)
8.84523e+00 6.83213e-03 -7.38226e-03 -3.21070e-02 -4.62267e-05 4.13451e-06 -3.16015e-05 -4.82352e-05 3.43826e-05 8.97591e-05 -1.64538e-09 -1.17060e-10 1.36548e-07 3.94773e-09 -8.83057e-09 3.64588e-08 9.40512e-10 1.40929e-07 -4.02030e-08 -9.00481e-08

#its5k_z2_q1
0 2 0 20
# precision: tgt 5.00e-03 max 1.20e-03 (24.0%) avg 1.25e-04 (2.5%)
1.23090e+00 -1.85625e-02 5.36888e-04 8.79662e-03 -4.98987e-06 6.87746e-06 -9.97939e-05 1.50292e-06 3.38354e-06 2.17630e-05 1.49158e-09 -1.79652e-08 -1.84499e-08 2.03751e-08 1.28500e-08 -1.44443e-07 -3.28529e-09 3.32300e-09 5.04351e-09 1.84534e-08
# precision: tgt 5.00e-03 max 1.63e-03 (32.6%) avg 1.56e-04 (3.1%)
1.31246e+00 7.96400e-04 -1.91323e-02 9.46789e-03 4.19579e-06 -4.23888e-06 4.75365e-06 3.94471e-06 -1.02101e-04 2.26131e-05 -3.49359e-09 1.81210e-08 9.31672e-09 -1.18755e-08 -1.18982e-08 6.88079e-09 -4.62662e-09 2.10019e-10 -1.46965e-07 1.80428e-08
# precision: tgt 5.00e-03 max 1.43e-03 (28.5%) avg 1.96e-04 (3.9%)
8.97753e+00 8.92350e-03 5.86630e-03 3.33506e-02 -3.71795e-05 9.76819e-06 4.80191e-05 -4.07882e-05 2.97112e-05 9.34466e-05 -1.44915e-09 1.94941e-09 -1.14462e-07 5.17051e-09 2.33352e-08 6.35289e-08 -4.76539e-09 -1.25057e-07 3.74121e-08 9.28679e-08

#its5k_z2_q2
0 2 1 20
# precision: tgt 5.00e-03 max 9.93e-04 (19.9%) avg 1.56e-04 (3.1%)
-1.09086e+00 -1.99475e-02 3.62670e-04 -7.56522e-03 -5.41909e-06 -1.14523e-06 -1.07602e-04 1.11352e-06 1.72714e-06 -1.67348e-05 6.98204e-09 2.33754e-08 -7.56304e-09 2.13080e-08 -6.75528e-09 -1.55360e-07 8.45765e-09 4.53921e-09 2.12974e-09 -1.17941e-08
# precision: tgt 5.00e-03 max 8.97e-04 (17.9%) avg 1.77e-04 (3.5%)
1.33181e+00 1.62090e-03 -1.90036e-02 9.53440e-03 -4.34229e-07 -8.11115e-06 7.69633e-06 -8.68487e-08 -1.02237e-04 2.25525e-05 4.46570e-09 2.54548e-08 -1.49127e-09 2.66454e-08 -1.66482e-08 9.08829e-09 6.54558e-09 -6.79143e-09 -1.47889e-07 1.77850e-08
# precision: tgt 5.00e-03 max 9.96e-04 (19.9%) avg 1.37e-04 (2.7%)
9.59754e+00 -3.77245e-03 6.87924e-03 3.78758e-02 -4.81852e-05 -7.69364e-06 -1.53246e-05 -4.00728e-05 3.50136e-05 1.04464e-04 -1.87086e-09 -6.06284e-09 -1.42297e-07 -6.18583e-09 -1.61900e-08 -1.48178e-08 8.71933e-10 -1.21903e-07 4.43793e-08 1.01814e-07

#its5k_z2_q3
0 2 2 20
# precision: tgt 5.00e-03 max 1.43e-03 (28.7%) avg 1.63e-04 (3.3%)
-1.18069e+00 -2.12055e-02 -1.59004e-04 -8.09296e-03 -4.13404e-06 1.86747e-06 -1.14422e-04 2.06942e-06 -9.29569e-07 -1.76901e-05 -4.87408e-09 -1.29203e-08 -7.18909e-09 8.97526e-09 4.81726e-09 -1.63608e-07 3.61037e-09 3.43653e-09 -1.08919e-09 -1.23078e-08
# precision: tgt 5.00e-03 max 1.53e-03 (30.5%) avg 2.49e-04 (5.0%)
-1.21382e+00 -6.13434e-04 -1.95047e-02 -8.32086e-03 2.15385e-06 -9.43882e-06 -3.17444e-06 2.29857e-06 -1.05470e-04 -1.91721e-05 1.16531e-08 -6.58355e-09 1.04109e-09 -4.10350e-08 -1.56262e-08 -3.73449e-09 1.18394e-08 7.73135e-09 -1.52295e-07 -1.47050e-08
# precision: tgt 5.00e-03 max 1.18e-03 (23.7%) avg 1.37e-04 (2.7%)
9.62955e+00 -3.65719e-03 -5.92740e-03 3.81264e-02 -4.71355e-05 6.34128e-06 -1.48773e-05 -4.00826e-05 -2.99730e-05 1.05116e-04 1.85364e-09 1.66272e-09 -1.40911e-07 -2.06878e-09 1.26404e-08 -1.43172e-08 -2.12708e-10 -1.22744e-07 -3.70992e-08 1.02376e-07

#its5k_z2_q4
0 2 3 20
# precision: tgt 5.00e-03 max 1.55e-03 (31.0%) avg 2.23e-04 (4.5%)
1.46327e+00 -1.72026e-02 6.88802e-04 1.05222e-02 -5.59250e-06 -7.38384e-06 -9.36076e-05 3.11845e-06 2.00414e-06 2.60049e-05 4.02054e-09 2.76294e-08 -2.03744e-08 2.82248e-08 -1.51591e-08 -1.37562e-07 5.13933e-09 7.00227e-09 7.89618e-10 2.19040e-08
# precision: tgt 5.00e-03 max 1.41e-03 (28.2%) avg 1.89e-04 (3.8%)
-1.20624e+00 1.27806e-04 -1.78221e-02 -8.40719e-03 -2.42220e-06 -2.17543e-06 -1.70616e-07 -2.18966e-06 -9.64318e-05 -1.97621e-05 6.71836e-09 1.47571e-08 -3.90285e-09 2.43380e-08 -1.02944e-08 -9.11120e-10 1.43177e-08 -2.57688e-09 -1.40437e-07 -1.55107e-08
# precision: tgt 5.00e-03 max 1.66e-03 (33.2%) avg 1.42e-04 (2.8%)
8.98324e+00 9.27159e-03 -4.50839e-03 3.33930e-02 -3.82747e-05 -1.05351e-05 4.96587e-05 -4.09882e-05 -2.28214e-05 9.35500e-05 -3.48566e-09 -2.34843e-09 -1.18342e-07 7.70902e-10 -2.45123e-08 6.53572e-08 -1.29174e-09 -1.24573e-07 -2.82438e-08 9.29573e-08

#its5k_z20_q1
0 20 0 20
# precision: tgt 5.00e-03 max 2.57e-03 (51.4%) avg 3.50e-04 (7.0%)
5.74677e+00 4.08359e-02 -9.32094e-04 -3.67792e-02 -8.46744e-06 -3.97107e-06 -1.96453e-04 -2.37845e-06 4.21030e-06 7.83615e-05 1.73837e-09 4.49953e-08 7.77164e-09 -3.23382e-11 -1.29479e-09 2.50513e-07 1.57809e-08 2.09820e-10 -4.24289e-09 -5.56229e-08
# precision: tgt 5.00e-03 max 2.40e-03 (48.1%) avg 3.64e-04 (7.3%)
2.94165e+00 4.68868e-04 3.41914e-02 -1.82216e-02 -1.56602e-06 -2.61695e-06 -2.02908e-06 -7.88466e-06 -1.68446e-04 3.77199e-05 8.73938e-09 -1.84321e-08 6.75583e-10 4.36010e-08 -1.85242e-09 2.46590e-09 -4.25459e-09 7.91013e-09 2.21096e-07 -2.60258e-08
# precision: tgt 5.00e-03 max 3.16e-03 (63.1%) avg 3.76e-04 (7.5%)
3.84207e+01 7.71375e-03 1.02381e-02 -2.20425e-01 -8.75782e-05 -1.83251e-05 -2.97621e-05 -8.96196e-05 -4.08411e-05 4.88771e-04 2.15222e-08 1.79501e-08 2.21960e-07 2.61215e-08 3.49820e-08 2.85141e-08 1.90213e-08 2.27406e-07 4.05823e-08 -3.71343e-07

#its5k_z20_q2
0 20 1 20
# precision: tgt 5.00e-03 max 2.34e-03 (46.7%) avg 4.62e-04 (9.2%)
-3.63777e+00 3.80330e-02 -3.16077e-03 2.35160e-02 8.69880e-06 -2.89644e-06 -1.84675e-04 1.14637e-06 1.32157e-05 -5.06496e-05 -3.47861e-09 -5.83819e-08 -8.54859e-09 -1.57188e-08 -3.33215e-09 2.38155e-07 -2.06697e-08 3.06691e-09 -1.42877e-08 3.63328e-08
# precision: tgt 5.00e-03 max 2.88e-03 (57.6%) avg 4.41e-04 (8.8%)
2.41343e+00 -7.36530e-03 3.79225e-02 -1.54638e-02 1.34823e-06 1.10985e-06 3.14467e-05 -6.21819e-06 -1.84410e-04 3.31465e-05 -1.53298e-08 -3.16402e-08 -6.28009e-09 -4.82143e-08 5.07802e-09 -3.38395e-08 -1.56553e-08 6.86777e-09 2.38034e-07 -2.36890e-08
# precision: tgt 5.00e-03 max 3.28e-03 (65.5%) avg 3.67e-04 (7.3%)
4.07776e+01 -6.41924e-03 8.65307e-03 -2.35109e-01 -9.01871e-05 1.44369e-05 2.41359e-05 -8.90396e-05 -3.42465e-05 5.19240e-04 -2.44671e-08 1.54082e-08 2.26841e-07 -1.02121e-08 -2.92107e-08 -2.24960e-08 1.80333e-08 2.26600e-07 3.37033e-08 -3.92397e-07

#its5k_z20_q3
0 20 2 20
# precision: tgt 5.00e-03 max 2.63e-03 (52.6%) avg 4.40e-04 (8.8%)
-2.06641e+00 4.09247e-02 1.06497e-03 1.34296e-02 9.04388e-06 1.51018e-06 -1.96652e-04 1.69043e-06 -4.46790e-06 -2.90721e-05 -9.84409e-09 3.98387e-08 -1.16032e-08 -4.32488e-09 6.37516e-09 2.50365e-07 1.59011e-08 1.43356e-09 5.20426e-09 2.09475e-08
# precision: tgt 5.00e-03 max 3.11e-03 (62.3%) avg 3.80e-04 (7.6%)
-4.37273e+00 4.94608e-04 3.67441e-02 2.82292e-02 3.68947e-07 4.02661e-06 -2.11738e-06 3.44477e-06 -1.80001e-04 -6.05827e-05 6.88447e-09 -1.42664e-08 1.83492e-09 2.83855e-08 -2.96299e-09 2.53776e-09 -4.63717e-09 2.31616e-09 2.34082e-07 4.33209e-08
# precision: tgt 5.00e-03 max 2.26e-03 (45.2%) avg 3.29e-04 (6.6%)
3.20652e+01 -5.13756e-03 -5.43546e-03 -1.80084e-01 -8.75036e-05 -1.92536e-05 1.85740e-05 -8.61334e-05 1.94686e-05 4.03467e-04 -2.52116e-08 -1.03264e-08 2.20967e-07 -3.30567e-09 4.05627e-08 -1.64780e-08 -9.30992e-09 2.22708e-07 -1.68620e-08 -3.11247e-07

#its5k_z20_q4
0 20 3 20
# precision: tgt 5.00e-03 max 2.62e-03 (52.4%) avg 4.24e-04 (8.5%)
6.18183e+00 3.53104e-02 -5.07079e-03 -3.90487e-02 -6.00993e-06 1.65385e-07 -1.73963e-04 -2.15144e-06 2.10701e-05 8.21627e-05 3.32112e-10 -4.73672e-08 2.40653e-09 -1.88214e-08 8.45191e-09 2.27760e-07 -6.38627e-09 3.11006e-09 -2.20331e-08 -5.76300e-08
# precision: tgt 5.00e-03 max 2.65e-03 (53.0%) avg 3.86e-04 (7.7%)
-2.66962e+00 4.88646e-04 3.68051e-02 1.74950e-02 2.81723e-08 -3.96799e-06 -1.97034e-06 4.05118e-06 -1.80251e-04 -3.80442e-05 -1.15125e-08 -1.50566e-08 3.67169e-09 -2.67136e-08 3.49740e-09 1.65385e-09 -7.66271e-09 4.67308e-10 2.34308e-07 2.75542e-08
# precision: tgt 5.00e-03 max 2.30e-03 (46.0%) avg 3.71e-04 (7.4%)
3.49001e+01 6.47831e-03 -3.02389e-03 -1.97873e-01 -8.83517e-05 1.65086e-05 -2.46022e-05 -8.75526e-05 9.16009e-06 4.40655e-04 1.36992e-08 -1.18350e-08 2.25547e-07 2.16542e-08 -3.27769e-08 2.29874e-08 -1.63567e-08 2.23185e-07 -6.06259e-09 -3.37149e-07

#its5k_z21_q1
0 21 0 20
# precision: tgt 5.00e-03 max 1.46e-02 (292.5%) avg 8.72e-04 (17.4%)
1.17791e+01 1.83097e-04 5.73612e-03 -6.80688e-02 -1.55127e-05 -2.39891e-05 -3.41249e-05 -1.26767e-05 -2.11130e-05 1.31119e-04 -1.21322e-07 4.80463e-09 5.14673e-08 -3.00741e-09 4.24181e-08 8.65981e-08 1.35721e-08 2.07539e-08 1.97631e-08 -8.42134e-08
# precision: tgt 5.00e-03 max 7.79e-03 (155.8%) avg 5.75e-04 (11.5%)
1.07526e+01 1.29101e-02 9.28951e-03 -6.21950e-02 -3.58210e-06 -3.68951e-05 -4.94547e-05 -8.57376e-05 -5.99493e-05 1.19853e-04 -1.95400e-08 -4.45256e-08 1.15793e-08 -1.93291e-08 7.66696e-08 4.70373e-08 6.84544e-09 1.62844e-07 1.03566e-07 -7.68739e-08
# precision: tgt 5.00e-03 max 1.61e-02 (321.2%) avg 1.20e-03 (23.9%)
8.67862e+00 -3.80555e-02 -4.12976e-02 -3.13323e-02 -1.29874e-04 -1.21417e-04 1.65505e-04 -1.20214e-04 1.75374e-04 8.82417e-05 1.70488e-07 1.19176e-07 2.68433e-07 1.06399e-07 2.17997e-07 -1.76146e-07 1.55101e-07 2.54984e-07 -1.83263e-07 -8.87801e-08

#its5k_z21_q2
0 21 1 20
# precision: tgt 5.00e-03 max 1.22e-02 (243.7%) avg 7.65e-04 (15.3%)
-1.15378e+01 -1.42109e-03 -3.09541e-03 6.62959e-02 2.32884e-05 -2.54519e-05 -2.71710e-05 1.37593e-05 1.06306e-05 -1.27038e-04 -1.13900e-07 3.27569e-09 -6.51628e-08 -1.63709e-08 4.79565e-08 7.91362e-08 -1.05043e-08 -2.39640e-08 -9.22187e-09 8.11608e-08
# precision: tgt 5.00e-03 max 7.27e-03 (145.5%) avg 6.19e-04 (12.4%)
9.14110e+00 -1.41288e-02 1.43255e-02 -5.34803e-02 -6.66198e-06 3.66616e-05 5.34173e-05 -9.85790e-05 -7.73888e-05 1.04152e-04 2.18233e-08 -6.39561e-08 1.84261e-08 2.83467e-08 -7.93650e-08 -5.00414e-08 2.57999e-09 1.88788e-07 1.18343e-07 -6.74445e-08
# precision: tgt 5.00e-03 max 1.52e-02 (304.7%) avg 1.24e-03 (24.9%)
7.41759e+00 4.01617e-02 -3.89774e-02 -2.42675e-02 -1.25713e-04 1.20635e-04 -1.72713e-04 -1.23851e-04 1.66869e-04 7.50805e-05 -1.69898e-07 1.25540e-07 2.60102e-07 -1.06057e-07 -2.16027e-07 1.82099e-07 1.61923e-07 2.60604e-07 -1.75407e-07 -8.06282e-08

#its5k_z21_q3
0 21 2 20
# precision: tgt 5.00e-03 max 1.36e-02 (271.3%) avg 9.86e-04 (19.7%)
-1.04530e+01 -4.24910e-03 -1.90522e-03 5.94784e-02 -1.57465e-05 -2.75282e-05 -2.34983e-05 -6.79373e-06 3.92571e-06 -1.13138e-04 -1.48997e-07 -1.16629e-07 -9.14094e-10 -8.42441e-08 3.58298e-08 8.16329e-08 -1.14408e-08 9.67138e-09 -7.54588e-10 7.19142e-08
# precision: tgt 5.00e-03 max 1.18e-02 (235.6%) avg 8.55e-04 (17.1%)
-1.13887e+01 -4.35586e-03 3.27263e-04 6.56229e-02 -1.50814e-05 -1.71773e-05 1.22021e-05 1.61518e-05 -3.58114e-05 -1.26191e-04 -3.30085e-08 -1.02277e-07 2.06242e-08 -1.13041e-07 1.19947e-08 -7.96644e-09 -9.87678e-08 -5.01517e-08 8.91318e-08 8.10410e-08
# precision: tgt 5.00e-03 max 3.24e-02 (647.5%) avg 2.42e-03 (48.5%)
6.16783e+00 1.17738e-02 3.60600e-03 -2.02714e-02 -2.18008e-04 -2.67949e-04 -8.21156e-05 -2.66555e-04 -5.79991e-05 7.26548e-05 -2.25413e-07 -2.90304e-07 4.21868e-07 -2.85402e-07 4.64540e-07 1.11633e-07 -2.99193e-07 5.02441e-07 9.49928e-08 -8.18778e-08

#its5k_z21_q4
0 21 3 20
# precision: tgt 5.00e-03 max 1.55e-02 (310.0%) avg 1.02e-03 (20.4%)
1.42229e+01 -9.56427e-03 1.55954e-04 -8.05964e-02 1.57651e-05 -3.73372e-05 -2.90719e-06 2.10348e-05 5.53845e-06 1.52467e-04 -1.43152e-07 1.11944e-07 -9.10480e-10 -1.03441e-07 5.32006e-08 6.19048e-08 2.24416e-08 -3.34472e-08 -1.06395e-08 -9.63058e-08
# precision: tgt 5.00e-03 max 1.23e-02 (246.5%) avg 8.42e-04 (16.8%)
-1.03549e+01 3.92801e-03 -1.12221e-03 5.98160e-02 -1.48434e-05 2.21927e-05 -1.02991e-05 9.57048e-06 -3.11927e-05 -1.15366e-04 2.81907e-08 -1.00741e-07 2.13141e-08 1.21698e-07 -2.05596e-08 5.85787e-09 -1.14409e-07 -4.11223e-08 8.54154e-08 7.43426e-08
# precision: tgt 5.00e-03 max 3.19e-02 (637.2%) avg 2.37e-03 (47.4%)
7.74947e+00 -1.60572e-02 8.96968e-03 -2.87456e-02 -2.12677e-04 2.64697e-04 9.77135e-05 -2.62870e-04 -7.79265e-05 8.77265e-05 2.24133e-07 -2.73805e-07 4.12594e-07 2.89132e-07 -4.59889e-07 -1.25963e-07 -2.94673e-07 4.95957e-07 1.13498e-07 -9.07710e-08

#its5k_z3_q1
0 3 0 20
# precision: tgt 5.00e-03 max 1.04e-03 (20.9%) avg 1.10e-04 (2.2%)
8.69707e-01 -7.44551e-03 -9.47555e-04 6.93208e-03 1.91856e-06 9.55775e-07 -4.34367e-05 4.50698e-06 -4.07513e-06 1.92125e-05 1.10128e-08 -1.99978e-08 1.26464e-09 9.42727e-09 -3.86265e-09 -7.28719e-08 -9.05134e-09 8.76533e-09 -4.52211e-09 1.80882e-08
# precision: tgt 5.00e-03 max 1.44e-03 (28.9%) avg 1.74e-04 (3.5%)
9.20433e-01 6.20263e-04 -7.65598e-03 7.47094e-03 9.68390e-07 -2.26291e-06 3.46732e-06 2.50177e-06 -4.47939e-05 1.99695e-05 -4.74336e-09 1.64544e-08 7.16446e-10 -8.28982e-09 -6.55942e-09 4.72819e-09 1.56641e-09 -1.50935e-09 -7.52326e-08 1.77941e-08
# precision: tgt 5.00e-03 max 1.24e-03 (24.8%) avg 1.14e-04 (2.3%)
6.26006e+00 6.01026e-03 6.61966e-03 1.28622e-02 -3.06083e-05 -9.01054e-06 3.33506e-05 -3.41790e-05 3.32152e-05 4.18737e-05 2.82465e-09 -1.29607e-08 -9.80594e-08 7.57188e-09 -2.54090e-08 4.49541e-08 1.28168e-09 -1.06434e-07 4.16192e-08 4.95281e-08

#its5k_z3_q2
0 3 1 20
# precision: tgt 5.00e-03 max 7.92e-04 (15.8%) avg 1.43e-04 (2.9%)
-7.01607e-01 -8.66836e-03 -2.01691e-04 -5.64652e-03 -1.66160e-06 2.54285e-07 -5.18385e-05 -4.87551e-07 -1.55012e-06 -1.44369e-05 8.04799e-09 1.94664e-08 8.27915e-10 1.21247e-08 -4.42898e-09 -8.63244e-08 2.90793e-09 -3.54482e-10 -2.52863e-09 -1.19626e-08
# precision: tgt 5.00e-03 max 9.55e-04 (19.1%) avg 1.01e-04 (2.0%)
9.20746e-01 8.01882e-07 -8.35029e-03 7.49574e-03 2.24975e-06 -1.90474e-06 -4.53829e-07 1.94704e-07 -4.94090e-05 2.00435e-05 6.82421e-09 1.21202e-08 3.60543e-09 1.68902e-08 -5.16206e-10 -9.87709e-10 9.29553e-09 -4.42590e-09 -8.22139e-08 1.78339e-08
# precision: tgt 5.00e-03 max 9.84e-04 (19.7%) avg 9.37e-05 (1.9%)
6.44464e+00 -5.02128e-03 6.41441e-03 1.43626e-02 -3.75622e-05 1.55298e-05 -2.17713e-05 -3.43601e-05 3.20227e-05 4.59172e-05 -3.78969e-09 -1.12642e-08 -1.15804e-07 -8.49884e-09 4.21376e-08 -2.30890e-08 -1.53266e-09 -1.08054e-07 3.97895e-08 5.31392e-08

#its5k_z3_q3
0 3 2 20
# precision: tgt 5.00e-03 max 1.78e-03 (35.6%) avg 1.91e-04 (3.8%)
-6.17871e-01 -8.62138e-03 5.05520e-04 -4.99451e-03 -2.41612e-06 1.19958e-07 -5.19454e-05 1.08830e-06 2.68554e-06 -1.27326e-05 -1.58271e-08 2.91180e-09 -8.93185e-10 1.78806e-09 -1.14101e-09 -8.60801e-08 5.42130e-09 1.29839e-09 3.76895e-09 -1.04884e-08
# precision: tgt 5.00e-03 max 1.72e-03 (34.4%) avg 2.72e-04 (5.4%)
-6.86620e-01 -3.73217e-04 -7.98696e-03 -5.34986e-03 1.67648e-06 -3.85340e-06 -2.30695e-06 2.76943e-07 -4.80913e-05 -1.41651e-05 1.32844e-08 -1.60100e-08 -1.19943e-10 -3.34088e-08 -1.19417e-09 -3.09773e-09 1.18283e-08 2.00093e-09 -8.07320e-08 -1.25226e-08
# precision: tgt 5.00e-03 max 1.24e-03 (24.9%) avg 1.13e-04 (2.3%)
6.49293e+00 -4.89275e-03 -5.48938e-03 1.47377e-02 -3.81486e-05 -1.50697e-05 -2.10828e-05 -3.36982e-05 -2.73477e-05 4.68895e-05 -2.08866e-09 9.87918e-09 -1.18164e-07 -8.23708e-09 -4.10476e-08 -2.20864e-08 3.19772e-09 -1.07230e-07 -3.32714e-08 5.39798e-08

#its5k_z3_q4
0 3 3 20
# precision: tgt 5.00e-03 max 1.66e-03 (33.2%) avg 1.98e-04 (4.0%)
1.02784e+00 -7.63389e-03 2.00779e-04 8.12709e-03 -3.06435e-06 -3.38952e-06 -4.56013e-05 2.55228e-06 1.09498e-09 2.21727e-05 1.42069e-08 1.34318e-08 -1.01846e-08 7.65081e-09 -4.05851e-09 -7.70225e-08 1.02628e-08 2.78575e-09 -8.77178e-10 2.04912e-08
# precision: tgt 5.00e-03 max 2.00e-03 (40.0%) avg 1.26e-04 (2.5%)
-6.96226e-01 -9.04683e-06 -7.90004e-03 -5.42834e-03 -2.82451e-06 2.26407e-07 -1.22290e-06 1.37081e-06 -4.74133e-05 -1.44272e-05 5.14350e-09 2.06635e-09 -4.57167e-09 1.41637e-08 -4.90442e-09 -2.61135e-09 1.90020e-08 4.16402e-09 -7.96936e-08 -1.28263e-08
# precision: tgt 5.00e-03 max 1.17e-03 (23.4%) avg 1.31e-04 (2.6%)
6.26831e+00 6.11928e-03 -5.61318e-03 1.29030e-02 -3.05080e-05 9.24652e-06 3.39269e-05 -3.53615e-05 -2.78279e-05 4.19149e-05 1.43372e-09 1.17253e-08 -9.87508e-08 3.97414e-09 2.64743e-08 4.56382e-08 -5.50095e-09 -1.08901e-07 -3.39801e-08 4.95113e-08

#its5k_z4_q1
0 4 0 20
# precision: tgt 5.00e-03 max 2.08e-03 (41.7%) avg 2.49e-04 (5.0%)
3.58792e+00 3.84068e-04 2.82185e-03 3.41579e-02 -8.90020e-06 -5.98818e-06 -1.11749e-06 -2.72403e-06 1.67993e-05 1.08201e-04 5.18209e-09 -3.55506e-09 -2.64932e-08 5.22048e-09 -1.92478e-08 -1.48411e-08 -1.82497e-09 -9.26351e-09 2.48014e-08 1.13526e-07
# precision: tgt 5.00e-03 max 1.93e-03 (38.6%) avg 2.28e-04 (4.6%)
-2.14598e-01 3.65885e-03 -1.23274e-03 -1.49471e-03 -2.58562e-06 -3.21806e-06 2.21271e-05 -1.09109e-05 -1.13099e-05 -3.41384e-06 -4.96324e-11 5.92823e-09 -7.51146e-09 -6.46241e-09 -9.36721e-09 3.35096e-08 -7.15264e-10 -3.60282e-08 -3.10364e-08 -2.25764e-09
# precision: tgt 5.00e-03 max 1.75e-03 (35.0%) avg 1.84e-04 (3.7%)
2.50428e+00 1.87736e-04 -3.63395e-04 -2.31888e-02 -4.10360e-06 2.86891e-06 1.40755e-06 -4.44870e-06 -1.80423e-06 -7.21629e-05 2.53960e-09 -6.73552e-09 -2.17950e-08 5.03289e-09 8.83785e-09 1.14802e-09 -1.33949e-09 -2.27482e-08 -1.64365e-09 -6.96074e-08

#its5k_z4_q2
0 4 1 20
# precision: tgt 5.00e-03 max 1.73e-03 (34.6%) avg 1.54e-04 (3.1%)
1.45502e+00 -1.32832e-03 -6.48266e-04 1.34998e-02 6.02166e-06 -3.51460e-06 -1.03032e-05 2.09185e-06 -3.49575e-06 4.17926e-05 1.50876e-09 1.29273e-08 2.29079e-08 1.38636e-08 -1.22416e-08 -2.71683e-08 1.01397e-09 5.94401e-09 -4.71356e-09 4.26614e-08
# precision: tgt 5.00e-03 max 1.78e-03 (35.6%) avg 2.23e-04 (4.5%)
5.16126e-01 -3.07503e-03 -2.42245e-04 5.33401e-03 -1.32314e-06 3.12346e-06 -1.87510e-05 -8.67082e-06 -4.40541e-06 1.78774e-05 4.90018e-09 1.58023e-08 -5.35674e-09 2.38667e-09 9.30959e-09 -2.84824e-08 5.26917e-10 -2.90061e-08 -1.91758e-08 1.98908e-08
# precision: tgt 5.00e-03 max 1.55e-03 (30.9%) avg 1.51e-04 (3.0%)
4.14927e+00 2.36026e-03 -9.36332e-04 -8.10988e-03 -3.36463e-06 -4.91040e-06 1.34239e-05 -4.25377e-06 -5.17077e-06 -2.61268e-05 -1.91552e-09 -2.48475e-09 -1.81053e-08 -1.30105e-09 -1.58422e-08 1.72536e-08 -6.38334e-10 -2.21407e-08 -6.59139e-09 -2.27943e-08

#its5k_z4_q3
0 4 2 20
# precision: tgt 5.00e-03 max 2.06e-03 (41.2%) avg 1.98e-04 (4.0%)
2.13787e+00 -3.11094e-03 -1.83520e-03 2.04990e-02 1.75141e-06 2.88164e-06 -2.06021e-05 6.12431e-07 -1.15909e-05 6.54442e-05 -5.11668e-09 -1.39146e-09 9.98522e-09 7.83309e-09 7.95926e-09 -4.17220e-08 1.53242e-09 9.95528e-10 -1.81094e-08 6.90459e-08
# precision: tgt 5.00e-03 max 2.20e-03 (43.9%) avg 1.55e-04 (3.1%)
-1.11709e+00 -1.20857e-03 -2.67839e-03 -1.01101e-02 -5.22463e-07 1.74754e-06 -7.23107e-06 5.73198e-06 -1.89129e-05 -3.06917e-05 -9.97406e-10 1.89871e-09 -1.27253e-09 -5.02790e-09 7.27045e-09 -1.07853e-08 1.34995e-09 1.92720e-08 -4.05732e-08 -3.09119e-08
# precision: tgt 5.00e-03 max 1.33e-03 (26.6%) avg 1.52e-04 (3.0%)
4.15738e+00 2.19733e-03 9.49325e-04 -7.99758e-03 -3.88130e-06 4.70780e-06 1.25295e-05 -4.77432e-06 5.05572e-06 -2.56683e-05 -2.35817e-09 2.26855e-09 -1.95490e-08 -8.87064e-11 1.47091e-08 1.60441e-08 1.19791e-09 -2.42869e-08 6.84501e-09 -2.22117e-08

#its5k_z4_q4
0 4 3 20
# precision: tgt 5.00e-03 max 2.70e-03 (53.9%) avg 2.49e-04 (5.0%)
3.94201e+00 1.10355e-03 -1.60632e-03 3.74153e-02 -7.86269e-06 5.97823e-06 3.61040e-06 -3.19140e-06 -8.93761e-06 1.18173e-04 3.75257e-09 4.32739e-09 -2.36637e-08 6.05959e-09 1.92797e-08 -7.13438e-09 4.27869e-09 -1.15824e-08 -1.20314e-08 1.23686e-07
# precision: tgt 5.00e-03 max 1.94e-03 (38.7%) avg 2.08e-04 (4.2%)
-1.77548e+00 -7.58427e-04 1.26946e-03 -1.69914e-02 2.74971e-06 -6.54554e-06 -3.74321e-06 8.14635e-06 4.68708e-06 -5.42897e-05 2.91463e-09 3.87055e-09 9.82790e-09 3.04445e-09 -1.95874e-08 -4.13286e-09 6.23787e-09 2.54811e-08 -5.40516e-09 -5.75266e-08
# precision: tgt 5.00e-03 max 2.08e-03 (41.6%) avg 2.06e-04 (4.1%)
1.99732e+00 8.43623e-04 -3.47828e-04 -2.78218e-02 -5.39161e-06 -2.71890e-06 5.28967e-06 -4.09409e-06 -3.03629e-06 -8.62505e-05 1.70529e-09 4.99057e-09 -2.59588e-08 1.69098e-09 -7.98896e-09 6.87441e-09 -7.82134e-10 -2.15143e-08 -5.81965e-09 -8.38591e-08

#its5k_z5_q1
0 5 0 20
# precision: tgt 5.00e-03 max 1.46e-03 (29.3%) avg 2.39e-04 (4.8%)
6.13829e-01 -1.42343e-03 2.73921e-04 6.52366e-03 -2.10338e-06 1.45051e-06 -1.10913e-05 3.55399e-07 2.75484e-06 2.30888e-05 1.03958e-09 8.04401e-09 -5.83308e-09 -4.41406e-09 5.31637e-09 -2.85327e-08 -2.47634e-09 -6.21870e-10 5.98008e-09 2.66838e-08
# precision: tgt 5.00e-03 max 1.35e-03 (27.0%) avg 1.57e-04 (3.1%)
1.07609e-01 -5.82592e-04 -1.38573e-04 1.33643e-03 4.93826e-07 -1.86629e-07 -3.97045e-06 -3.19042e-07 -9.69012e-07 5.14168e-06 1.18334e-09 -1.44943e-09 2.11386e-09 -1.05816e-09 -3.04747e-10 -6.66174e-09 -1.85941e-10 -1.80268e-09 -9.11262e-09 6.70676e-09
# precision: tgt 5.00e-03 max 5.74e-04 (11.5%) avg 8.54e-05 (1.7%)
4.84873e+00 3.58812e-04 8.70846e-04 -1.38828e-03 -2.33146e-06 5.71955e-09 2.66160e-06 -2.65568e-06 6.10797e-06 -4.83945e-06 1.29039e-09 -5.71624e-09 -1.58993e-08 3.60302e-09 -1.60666e-10 3.54018e-09 1.02838e-09 -1.57744e-08 1.12451e-08 -5.80485e-10

#its5k_z5_q2
0 5 1 20
# precision: tgt 5.00e-03 max 1.23e-03 (24.5%) avg 1.67e-04 (3.3%)
5.69102e-02 -2.44133e-04 -5.66583e-04 4.69097e-04 3.49937e-06 -3.33302e-06 -2.42577e-06 1.60829e-06 -3.60781e-06 1.26414e-06 -5.06012e-09 2.80978e-09 1.67150e-08 7.59452e-09 -1.10781e-08 -1.32033e-08 2.30532e-10 5.16435e-09 -5.82949e-09 5.84029e-10
# precision: tgt 5.00e-03 max 8.11e-04 (16.2%) avg 1.09e-04 (2.2%)
-3.44499e-02 -4.49895e-04 -3.65759e-04 -2.43822e-04 -1.95966e-06 3.47378e-06 -2.62240e-06 -2.36925e-06 -3.09929e-06 -7.38329e-07 2.24840e-09 6.24926e-09 -7.64546e-09 2.55252e-09 1.28519e-08 -3.63463e-09 8.90498e-10 -8.92409e-09 -1.37884e-08 -6.00186e-10
# precision: tgt 5.00e-03 max 8.28e-04 (16.6%) avg 8.37e-05 (1.7%)
4.92457e+00 -9.53165e-04 7.73398e-04 -5.98720e-04 -2.03979e-06 -2.27016e-07 -7.16004e-06 -2.51386e-06 5.43234e-06 -2.10406e-06 -3.27745e-09 -5.69283e-09 -1.29622e-08 -1.67157e-09 -5.26247e-10 -1.48442e-08 9.95365e-10 -1.56283e-08 9.97222e-09 2.56906e-09

#its5k_z5_q3
0 5 2 20
# precision: tgt 5.00e-03 max 5.19e-04 (10.4%) avg 5.95e-05 (1.2%)
-1.70542e-01 -6.23291e-04 6.77824e-05 -1.92815e-03 -3.91326e-07 5.27044e-07 -4.10721e-06 2.87692e-07 3.99280e-07 -7.15517e-06 -4.87866e-09 2.12814e-09 1.21711e-09 3.72704e-09 -1.71687e-10 -1.39515e-08 2.87694e-09 -5.18844e-10 8.55455e-10 -9.28443e-09
# precision: tgt 5.00e-03 max 4.31e-04 (8.6%) avg 6.10e-05 (1.2%)
-1.11887e-01 1.24310e-04 -6.05257e-04 -1.19435e-03 -2.86094e-07 3.94794e-07 9.38012e-07 -1.79800e-07 -4.05609e-06 -4.53965e-06 6.86984e-12 2.49087e-09 -1.53925e-09 -4.08896e-09 1.78460e-09 1.94032e-09 -8.54753e-10 9.87958e-11 -1.39865e-08 -5.60047e-09
# precision: tgt 5.00e-03 max 6.84e-04 (13.7%) avg 7.44e-05 (1.5%)
4.87840e+00 -1.17991e-03 -6.15894e-04 -1.05546e-03 -2.29564e-06 1.49274e-07 -8.71811e-06 -2.57455e-06 -4.82623e-06 -3.59746e-06 -1.75544e-09 3.58660e-09 -1.43398e-08 -1.09746e-09 3.34453e-10 -1.74782e-08 -4.24786e-10 -1.60341e-08 -8.96144e-09 9.56717e-10

#its5k_z5_q4
0 5 3 20
# precision: tgt 5.00e-03 max 5.16e-04 (10.3%) avg 7.28e-05 (1.5%)
1.12680e-01 -1.21924e-03 -1.82645e-04 1.17160e-03 -2.85896e-08 1.81944e-07 -8.65206e-06 4.46673e-07 -1.42788e-06 4.13624e-06 2.78646e-09 5.36980e-09 9.00008e-10 3.78269e-09 1.43090e-09 -2.27023e-08 2.78022e-09 8.84640e-10 -2.74202e-09 4.42687e-09
# precision: tgt 5.00e-03 max 4.88e-04 (9.8%) avg 8.83e-05 (1.8%)
-2.83965e-01 -4.83102e-04 -1.53627e-03 -2.92681e-03 2.63961e-07 -9.90291e-08 -3.37157e-06 -3.38135e-07 -1.07515e-05 -1.03153e-05 -7.65011e-10 3.00826e-09 7.13581e-10 -5.27204e-10 1.65647e-09 -5.90997e-09 -1.44466e-09 -4.80492e-11 -2.61074e-08 -1.19609e-08
# precision: tgt 5.00e-03 max 9.25e-04 (18.5%) avg 7.98e-05 (1.6%)
4.89829e+00 5.42793e-04 -7.18091e-04 -8.42259e-04 -2.84136e-06 -2.02623e-07 3.88024e-06 -3.01100e-06 -5.48795e-06 -2.83974e-06 2.76017e-09 5.79652e-09 -1.69254e-08 1.95385e-09 -1.25972e-10 5.66462e-09 -1.59214e-09 -1.73049e-08 -1.00667e-08 1.85742e-09

#its5k_z6_q1
0 6 0 20
# precision: tgt 5.00e-03 max 3.55e-04 (7.1%) avg 3.71e-05 (0.7%)
7.32209e-03 -8.64031e-05 -6.90840e-07 9.22057e-05 -4.15416e-07 7.95783e-08 4.68535e-07 -1.17192e-07 3.56988e-08 5.72774e-07 3.20473e-09 -4.64268e-10 -9.73817e-10 -5.98949e-10 -1.04230e-09 -4.38269e-09 -1.07344e-10 -1.02215e-09 -9.00876e-11 7.09851e-10
# precision: tgt 5.00e-03 max 2.76e-04 (5.5%) avg 4.64e-05 (0.9%)
8.92943e-03 6.48180e-06 -1.14417e-04 1.63381e-04 3.18248e-07 -2.51406e-08 1.32791e-07 -2.02821e-07 3.20277e-07 5.77467e-07 -1.79187e-09 4.76138e-09 1.00595e-09 -6.54357e-09 -6.43941e-10 5.00396e-10 1.91229e-09 -2.08424e-09 -4.77595e-09 8.94453e-10
# precision: tgt 5.00e-03 max 2.20e-04 (4.4%) avg 2.47e-05 (0.5%)
5.01888e+00 4.57968e-05 1.43276e-04 1.99066e-04 2.54479e-07 1.28272e-06 1.00565e-06 1.39775e-07 1.28378e-06 -1.60040e-07 -1.68767e-09 -8.06058e-10 -5.32646e-09 3.93969e-09 7.27557e-09 2.35204e-09 -9.08384e-10 -4.34632e-09 3.98507e-09 3.63887e-09

#its5k_z6_q2
0 6 1 20
# precision: tgt 5.00e-03 max 4.58e-04 (9.2%) avg 5.47e-05 (1.1%)
-9.18256e-03 -9.97175e-05 -3.08447e-05 -1.42261e-04 9.59554e-07 4.34453e-07 1.92758e-07 -2.23484e-07 -4.74776e-07 -5.98783e-07 1.20933e-09 6.09987e-09 6.51414e-09 4.87569e-09 8.63132e-10 -5.51326e-09 -2.63954e-10 -1.72785e-09 -1.74499e-09 -1.29400e-09
# precision: tgt 5.00e-03 max 6.08e-04 (12.2%) avg 8.93e-05 (1.8%)
8.68948e-03 -3.26528e-05 -1.15180e-04 1.64936e-04 5.76187e-08 1.05113e-07 -4.10460e-07 -2.55580e-07 2.79108e-07 6.22576e-07 1.47278e-09 9.99958e-09 1.61218e-10 5.21196e-09 -2.41126e-10 -1.31983e-09 -1.05770e-09 -4.14538e-09 -5.15729e-09 1.03317e-09
# precision: tgt 5.00e-03 max 4.90e-04 (9.8%) avg 6.42e-05 (1.3%)
5.01363e+00 -1.39518e-04 1.70550e-04 1.40143e-04 4.77621e-07 -1.30933e-06 -1.52577e-06 2.65929e-07 1.56287e-06 -3.77941e-07 1.51367e-09 -2.86761e-09 -2.94118e-09 -3.51107e-09 -6.88400e-09 -5.88570e-09 -6.72274e-10 -3.41670e-09 4.75693e-09 3.38667e-09

#its5k_z6_q3
0 6 2 20
# precision: tgt 5.00e-03 max 6.27e-04 (12.5%) avg 4.22e-05 (0.8%)
-7.28308e-03 -8.51227e-05 6.38699e-05 -1.24848e-04 7.11044e-07 2.56161e-08 3.35687e-07 -2.12534e-07 7.80993e-07 -5.57702e-07 7.28503e-10 1.67906e-09 4.71850e-09 8.46610e-10 -4.81976e-10 -4.91699e-09 9.11700e-12 -4.52326e-10 2.17192e-09 -1.29436e-09
# precision: tgt 5.00e-03 max 3.52e-04 (7.0%) avg 5.90e-05 (1.2%)
-1.04743e-02 2.55304e-05 -8.87145e-05 -1.13780e-04 -1.11410e-07 -4.17812e-07 4.27425e-07 8.06467e-07 3.08826e-07 -7.84248e-07 -1.48816e-09 2.70612e-09 4.98595e-10 -2.02282e-09 -1.50134e-09 1.22702e-09 1.02028e-09 4.79910e-09 -4.99043e-09 -1.38850e-09
# precision: tgt 5.00e-03 max 4.77e-04 (9.5%) avg 6.31e-05 (1.3%)
5.01634e+00 -1.53972e-04 -8.93309e-05 1.80636e-04 7.40317e-07 1.03026e-06 -1.74278e-06 1.74032e-07 -1.52261e-06 -1.76444e-07 2.30603e-09 1.37250e-09 -2.08465e-09 -3.28397e-09 5.86025e-09 -6.55073e-09 1.03738e-09 -3.93743e-09 -4.76729e-09 3.72241e-09

#its5k_z6_q4
0 6 3 20
# precision: tgt 5.00e-03 max 4.88e-04 (9.8%) avg 6.08e-05 (1.2%)
9.49931e-03 -1.07979e-04 -1.90177e-05 1.19001e-04 -3.21155e-07 -1.71151e-07 2.55913e-07 -4.88073e-08 -2.75974e-07 6.75048e-07 2.84970e-09 5.20504e-09 -1.33508e-09 2.22794e-09 1.06954e-09 -5.09969e-09 -1.87955e-10 5.81765e-11 -7.31907e-10 8.28391e-10
# precision: tgt 5.00e-03 max 4.25e-04 (8.5%) avg 5.68e-05 (1.1%)
-7.36635e-03 -1.30184e-05 -1.30484e-04 -5.91278e-05 1.36600e-07 7.03934e-07 -2.65427e-07 8.76282e-07 -8.99508e-08 -4.68599e-07 -1.66790e-09 2.14196e-09 -2.00018e-10 3.60599e-09 2.78318e-09 -9.81832e-10 2.14416e-09 4.95731e-09 -6.11130e-09 -7.74209e-10
# precision: tgt 5.00e-03 max 2.50e-04 (5.0%) avg 2.86e-05 (0.6%)
5.01963e+00 5.44397e-05 -6.01895e-05 2.12466e-04 3.94107e-07 -1.05989e-06 1.07667e-06 1.68080e-07 -1.29642e-06 -8.93001e-08 -7.88205e-10 1.68055e-09 -4.19354e-09 3.53913e-09 -5.74346e-09 2.57863e-09 7.69248e-10 -4.10118e-09 -4.27378e-09 3.75679e-09

#its5k_z7_q1
0 7 0 20
# precision: tgt 5.00e-03 max 3.69e-04 (7.4%) avg 2.27e-05 (0.5%)
2.28477e-03 -1.66417e-05 1.41066e-06 3.10909e-05 -2.89415e-07 3.28145e-08 1.18981e-06 -1.00235e-07 4.32218e-08 3.35527e-07 2.83980e-09 -1.76866e-09 -7.53177e-10 -4.95576e-11 -1.47550e-09 -2.60250e-09 1.96674e-11 -7.60556e-10 -7.14757e-11 4.21326e-10
# precision: tgt 5.00e-03 max 2.71e-04 (5.4%) avg 4.77e-05 (1.0%)
2.48442e-03 -2.86544e-06 -1.81091e-05 8.47857e-05 2.31945e-07 -7.65575e-08 7.31598e-09 -1.31003e-07 1.29165e-06 2.71707e-07 -2.53309e-09 4.76823e-09 1.33714e-10 -4.90872e-09 -3.68674e-10 6.40082e-11 1.82166e-09 -1.57824e-09 -2.25966e-09 5.27306e-10
# precision: tgt 5.00e-03 max 1.57e-04 (3.1%) avg 2.80e-05 (0.6%)
5.00877e+00 1.24991e-05 8.86225e-05 3.63074e-05 5.97823e-07 5.43608e-07 6.90385e-07 4.66713e-07 7.45438e-07 -1.03635e-06 -2.11577e-10 -2.13114e-09 -2.93125e-09 1.71425e-09 2.44375e-09 1.64006e-09 -1.70330e-10 -2.56463e-09 2.60388e-09 2.05908e-09

#its5k_z7_q2
0 7 1 20
# precision: tgt 5.00e-03 max 2.68e-04 (5.4%) avg 4.61e-05 (0.9%)
-2.74124e-03 -1.44144e-05 -1.21566e-05 -5.83584e-05 4.34656e-07 1.45729e-07 1.20080e-06 -7.30416e-08 -1.79791e-07 -2.41862e-07 3.86863e-09 5.16586e-09 2.33379e-09 2.54135e-09 -1.04559e-09 -2.39889e-09 8.56247e-10 -5.96153e-11 -5.55241e-10 -8.01257e-10
# precision: tgt 5.00e-03 max 4.45e-04 (8.9%) avg 6.73e-05 (1.3%)
2.10132e-03 -1.46232e-05 -2.18197e-05 7.92116e-05 4.73850e-08 1.17963e-07 -2.29718e-07 -9.29392e-08 1.26294e-06 2.61060e-07 1.39387e-09 6.26394e-09 -3.27453e-10 3.99786e-09 6.12077e-10 -7.30195e-10 6.26383e-10 -2.19931e-09 -2.41746e-09 5.45852e-10
# precision: tgt 5.00e-03 max 3.25e-04 (6.5%) avg 4.59e-05 (0.9%)
5.00903e+00 -3.46283e-05 8.11262e-05 4.12415e-05 9.18502e-07 -5.49162e-07 -5.27475e-07 5.55131e-07 6.59986e-07 -1.02666e-06 4.05985e-10 -2.88063e-09 -1.22858e-10 -1.08127e-09 -2.33412e-09 -3.56442e-09 3.53834e-11 -1.86459e-09 2.43398e-09 2.03844e-09

#its5k_z7_q3
0 7 2 20
# precision: tgt 5.00e-03 max 5.44e-04 (10.9%) avg 3.68e-05 (0.7%)
-2.32349e-03 -2.40077e-06 1.40868e-05 -5.29194e-05 5.18462e-07 -1.75935e-07 1.26571e-06 8.17219e-08 2.10748e-07 -2.13544e-07 2.51853e-09 1.30187e-09 2.80212e-09 -1.63157e-09 -5.52872e-10 -2.24069e-09 3.49034e-10 1.08883e-09 4.91659e-10 -7.51533e-10
# precision: tgt 5.00e-03 max 3.79e-04 (7.6%) avg 4.04e-05 (0.8%)
-3.12668e-03 -6.42628e-06 -1.31201e-05 -1.64472e-05 -2.51895e-07 -7.89085e-08 1.17767e-07 4.30818e-07 1.14892e-06 -3.64343e-07 -1.50413e-09 3.57066e-10 1.31456e-10 -1.42122e-09 7.42691e-10 3.70541e-10 2.39599e-09 2.08146e-09 -2.57457e-09 -8.02620e-10
# precision: tgt 5.00e-03 max 2.59e-04 (5.2%) avg 3.60e-05 (0.7%)
5.00866e+00 -4.03682e-05 -5.61887e-06 3.70596e-05 1.00560e-06 4.45313e-07 -6.23652e-07 4.44028e-07 -7.08680e-07 -1.03967e-06 1.10421e-09 2.15032e-09 -1.89203e-10 -1.20181e-09 2.00744e-09 -3.81712e-09 -4.68463e-10 -2.02072e-09 -2.80083e-09 2.03268e-09

#its5k_z7_q4
0 7 3 20
# precision: tgt 5.00e-03 max 2.63e-04 (5.3%) avg 5.15e-05 (1.0%)
1.74564e-03 -2.91324e-05 -1.55070e-05 1.94864e-05 -1.94701e-07 -9.71263e-08 1.06443e-06 -1.81592e-07 -1.93405e-07 2.55660e-07 2.49410e-09 2.83356e-09 -5.67512e-10 -4.12727e-10 1.48798e-09 -2.97433e-09 -1.21084e-09 -4.01957e-10 -4.07010e-10 2.52876e-10
# precision: tgt 5.00e-03 max 2.60e-04 (5.2%) avg 3.33e-05 (0.7%)
-2.32742e-03 7.05490e-06 -2.42503e-05 1.44438e-06 -8.89162e-08 2.13600e-07 -6.14867e-08 5.25947e-07 1.00256e-06 -2.35161e-07 2.24503e-10 4.20419e-10 -7.57793e-12 1.00763e-09 6.37907e-10 -2.62025e-10 2.17026e-09 2.84918e-09 -3.20244e-09 -4.89689e-10
# precision: tgt 5.00e-03 max 1.56e-04 (3.1%) avg 1.07e-05 (0.2%)
5.00909e+00 1.99857e-05 -7.09885e-06 4.36099e-05 5.27463e-07 -5.89799e-07 7.05007e-07 4.56102e-07 -8.08925e-07 -9.92865e-07 1.90979e-10 1.36531e-09 -2.87818e-09 -2.07417e-10 -2.27980e-09 1.63174e-09 -4.22845e-10 -2.49673e-09 -3.08735e-09 2.13980e-09

#its5k_z8_q1
0 8 0 20
# precision: tgt 5.00e-03 max 3.31e-04 (6.6%) avg 2.18e-05 (0.4%)
2.52517e-04 1.48384e-05 -1.99403e-06 -1.97705e-06 -3.14347e-07 1.01152e-07 1.60092e-06 -4.55668e-08 4.09611e-08 1.67204e-07 2.41931e-09 -2.23715e-09 -1.33082e-09 1.23689e-10 -1.15382e-09 -1.36186e-09 -7.66529e-12 -3.92872e-10 5.47544e-11 1.61365e-10
# precision: tgt 5.00e-03 max 2.55e-04 (5.1%) avg 4.37e-05 (0.9%)
1.82205e-04 -2.41254e-06 5.09479e-06 4.53352e-05 1.44099e-07 -9.08731e-08 -1.03711e-08 -8.30034e-08 1.60513e-06 4.96512e-08 -2.16249e-09 3.76379e-09 -3.87575e-10 -3.26175e-09 -1.76796e-10 -7.00159e-11 1.28557e-09 -1.34699e-09 -1.15891e-09 1.21507e-10
# precision: tgt 5.00e-03 max 2.44e-04 (4.9%) avg 2.51e-05 (0.5%)
5.00691e+00 -4.75802e-06 6.22854e-05 -7.55187e-06 8.25220e-07 6.98848e-08 4.72844e-07 6.79647e-07 4.01170e-07 -1.37875e-06 -1.91486e-10 -2.08018e-09 -1.40871e-09 1.64110e-09 -6.92548e-10 9.58454e-10 -2.56385e-10 -1.23219e-09 1.45978e-09 1.17144e-09

#its5k_z8_q2
0 8 1 20
# precision: tgt 5.00e-03 max 3.09e-04 (6.2%) avg 4.04e-05 (0.8%)
-2.79597e-04 8.61886e-06 -8.20854e-06 -1.33161e-05 1.41476e-07 -2.88957e-09 1.60364e-06 1.62564e-08 -6.08568e-08 3.35024e-08 2.79236e-09 3.47617e-09 9.18929e-10 1.93354e-09 -1.52111e-09 -7.77679e-10 7.46970e-10 5.88663e-10 5.23340e-11 -2.38309e-10
# precision: tgt 5.00e-03 max 3.07e-04 (6.1%) avg 4.72e-05 (0.9%)
1.58179e-05 -9.25274e-06 -4.55543e-07 4.06839e-05 1.73687e-08 1.24324e-07 -1.50018e-07 2.77957e-08 1.58928e-06 2.51903e-08 1.56771e-09 4.80331e-09 -9.40656e-10 2.76264e-09 7.49086e-10 -3.12332e-10 2.13133e-10 -1.46010e-09 -1.18088e-09 6.16149e-11
# precision: tgt 5.00e-03 max 2.49e-04 (5.0%) avg 2.44e-05 (0.5%)
5.00726e+00 -8.22985e-06 4.92197e-05 -3.87931e-06 9.78884e-07 -1.02572e-07 -1.17631e-07 7.62976e-07 2.56207e-07 -1.40144e-06 5.71541e-10 -1.47274e-09 3.76791e-10 -6.39371e-10 1.77537e-10 -2.07699e-09 1.30925e-11 -6.14444e-10 1.15013e-09 1.02457e-09

#its5k_z8_q3
0 8 2 20
# precision: tgt 5.00e-03 max 3.33e-04 (6.7%) avg 4.25e-05 (0.8%)
-8.81788e-04 2.13208e-05 5.74335e-07 -2.61499e-05 4.53553e-07 -2.60815e-07 1.63158e-06 1.55607e-07 1.20506e-08 -5.31304e-08 3.03785e-09 -9.39026e-10 2.36341e-09 -1.50754e-09 -2.05700e-10 -9.52021e-10 9.37888e-10 1.03171e-09 -1.64361e-10 -4.41387e-10
# precision: tgt 5.00e-03 max 3.10e-04 (6.2%) avg 3.79e-05 (0.8%)
-1.95143e-04 -6.53477e-06 1.31144e-05 3.31444e-05 -2.53076e-07 6.39361e-08 9.35074e-08 2.45548e-07 1.55580e-06 -9.18089e-08 -1.75747e-09 1.64762e-10 3.92613e-10 -4.16270e-10 1.33274e-09 1.69349e-10 1.76247e-09 1.17475e-09 -1.05017e-09 -3.19998e-10
# precision: tgt 5.00e-03 max 2.36e-04 (4.7%) avg 1.93e-05 (0.4%)
5.00725e+00 -1.05676e-05 3.35195e-05 -4.73195e-06 9.48084e-07 1.22505e-07 -1.45377e-07 6.69156e-07 -2.43651e-07 -1.41333e-06 7.42912e-10 1.37224e-09 -1.92209e-10 -5.33784e-10 -9.14568e-11 -2.03322e-09 -6.46918e-10 -5.43747e-10 -1.41248e-09 9.80178e-10

#its5k_z8_q4
0 8 3 20
# precision: tgt 5.00e-03 max 2.57e-04 (5.1%) avg 3.94e-05 (0.8%)
2.01942e-04 7.16238e-06 -3.02087e-06 -5.33976e-06 -2.15681e-07 -9.40008e-08 1.52420e-06 -1.43874e-07 -5.69029e-08 1.30038e-07 1.80861e-09 1.59485e-09 -1.01018e-09 -9.80949e-10 1.21202e-09 -1.53829e-09 -1.36458e-09 -1.63895e-10 -5.05601e-11 6.18925e-11
# precision: tgt 5.00e-03 max 2.41e-04 (4.8%) avg 3.48e-05 (0.7%)
-3.04981e-04 2.01257e-06 8.03425e-06 3.23019e-05 -1.43330e-07 -7.40364e-08 -9.29318e-08 2.82361e-07 1.48243e-06 -8.87960e-08 9.66721e-10 7.39200e-10 1.45157e-10 4.66197e-10 -8.84072e-10 -1.77637e-10 1.82346e-09 1.41467e-09 -1.43556e-09 -2.85708e-10
# precision: tgt 5.00e-03 max 1.17e-04 (2.3%) avg 8.77e-06 (0.2%)
5.00657e+00 4.84910e-06 2.20090e-05 -1.34082e-05 6.43027e-07 -2.22636e-07 4.82823e-07 6.55407e-07 -4.45122e-07 -1.42452e-06 3.08501e-10 7.69281e-10 -1.90555e-09 -1.06467e-09 2.53711e-10 8.71515e-10 -3.47061e-10 -1.39058e-09 -1.88680e-09 1.04772e-09

#its5k_z9_q1
0 9 0 20
# precision: tgt 5.00e-03 max 2.87e-04 (5.7%) avg 2.06e-05 (0.4%)
-1.02626e-04 1.86650e-05 -2.99596e-06 -1.14043e-05 -2.65109e-07 1.32100e-07 1.70705e-06 -2.64931e-08 6.03132e-08 9.56704e-08 1.82918e-09 -1.65945e-09 -1.32200e-09 -3.25786e-10 -7.91206e-10 -7.94766e-10 -2.84934e-11 -4.15201e-10 2.29051e-10 1.28835e-11
# precision: tgt 5.00e-03 max 1.95e-04 (3.9%) avg 3.59e-05 (0.7%)
-2.56085e-04 2.13058e-06 1.09258e-05 3.60238e-05 6.81643e-08 -1.31456e-07 3.82931e-08 -1.87421e-08 1.72222e-06 -1.47901e-08 -1.24558e-09 2.26703e-09 -5.56939e-10 -1.37534e-09 -3.24225e-10 9.10994e-11 5.04089e-10 -1.01708e-09 -5.19957e-10 -1.07802e-11
# precision: tgt 5.00e-03 max 3.61e-04 (7.2%) avg 2.46e-05 (0.5%)
5.00669e+00 -1.16832e-05 5.26158e-05 -1.72597e-05 9.24085e-07 -1.93049e-07 3.28165e-07 7.76749e-07 2.03931e-07 -1.51786e-06 -7.47278e-10 -1.19786e-09 -8.64618e-10 2.36494e-09 -2.20237e-09 2.13556e-10 -8.05969e-10 -7.43336e-10 4.43084e-10 5.41720e-10

#its5k_z9_q2
0 9 1 20
# precision: tgt 5.00e-03 max 3.06e-04 (6.1%) avg 3.51e-05 (0.7%)
-6.92056e-05 1.72022e-05 -1.05000e-05 -8.92081e-06 9.51913e-09 -7.13289e-08 1.81275e-06 9.40357e-08 -5.23388e-08 6.34094e-08 8.57120e-10 1.58803e-09 1.27527e-09 1.45818e-09 -1.23142e-09 1.59919e-10 6.98672e-11 8.01348e-10 1.32294e-10 -1.77208e-10
# precision: tgt 5.00e-03 max 2.00e-04 (4.0%) avg 2.96e-05 (0.6%)
-4.53295e-05 -9.68070e-06 1.28464e-06 3.94147e-05 -2.18933e-08 1.56296e-07 -1.33935e-07 1.76993e-07 1.69237e-06 2.18076e-08 1.25270e-09 4.00314e-09 -1.22199e-09 1.58105e-09 8.21711e-10 -1.19516e-10 -9.17386e-10 -8.75711e-10 -4.96146e-10 8.60950e-11
# precision: tgt 5.00e-03 max 3.77e-04 (7.5%) avg 1.53e-05 (0.3%)
5.00697e+00 -6.98063e-06 3.62507e-05 -1.65028e-05 8.38427e-07 6.94033e-08 5.02619e-08 9.25170e-07 8.14472e-08 -1.57610e-06 1.29856e-11 5.94050e-10 1.54801e-10 3.86448e-10 1.19933e-09 -1.02743e-09 -5.32194e-10 4.65927e-11 4.11988e-10 2.61501e-10

#its5k_z9_q3
0 9 2 20
# precision: tgt 5.00e-03 max 2.53e-04 (5.1%) avg 4.05e-05 (0.8%)
-3.43289e-04 2.18010e-05 2.86841e-06 -1.26753e-05 2.94031e-07 -1.74393e-07 1.72552e-06 1.50101e-07 3.46475e-08 5.21889e-08 2.60366e-09 -2.03806e-09 1.53827e-09 -8.40648e-10 9.67548e-10 -3.64295e-10 1.12274e-09 5.80165e-10 -5.82021e-11 -1.82268e-10
# precision: tgt 5.00e-03 max 2.20e-04 (4.4%) avg 3.11e-05 (0.6%)
3.06153e-04 -6.56117e-07 1.48980e-05 4.48950e-05 -1.65611e-07 1.34417e-07 1.37706e-07 1.00235e-07 1.66718e-06 -3.73850e-09 -1.49079e-09 7.55204e-10 8.71611e-10 2.60074e-10 1.20643e-09 2.29615e-10 6.31314e-10 8.40251e-10 -3.37926e-10 -1.19002e-10
# precision: tgt 5.00e-03 max 2.11e-04 (4.2%) avg 1.64e-05 (0.3%)
5.00701e+00 -1.10883e-05 4.71030e-05 -1.56405e-05 7.20824e-07 2.69403e-08 1.77256e-08 8.35095e-07 -7.75635e-08 -1.56969e-06 -5.57866e-10 -3.71387e-10 -5.09168e-10 9.80250e-10 -9.23280e-10 -1.01522e-09 -2.14531e-10 1.61444e-10 -7.43664e-10 2.90846e-10

#its5k_z9_q4
0 9 3 20
# precision: tgt 5.00e-03 max 1.62e-04 (3.2%) avg 2.20e-05 (0.4%)
-3.33731e-04 2.19107e-05 1.47981e-06 -1.76355e-05 -2.28629e-07 -7.73098e-08 1.78364e-06 -6.30117e-08 -2.62330e-08 4.44752e-08 1.21263e-09 4.93385e-10 -1.50317e-09 -1.10960e-09 7.24671e-10 -3.90604e-10 -8.35767e-10 -4.06329e-11 -3.37442e-11 -9.99612e-11
# precision: tgt 5.00e-03 max 1.54e-04 (3.1%) avg 2.40e-05 (0.5%)
1.33887e-04 -2.58540e-06 9.61092e-06 4.18873e-05 -9.63760e-08 -2.19238e-07 -1.08790e-07 6.78580e-08 1.62052e-06 -2.71487e-08 1.03006e-09 1.84804e-09 4.10503e-10 6.89388e-10 -1.71476e-09 -4.41543e-11 9.02988e-10 4.14835e-10 -5.02707e-10 -1.88614e-10
# precision: tgt 5.00e-03 max 1.20e-04 (2.4%) avg 1.51e-05 (0.3%)
5.00664e+00 -2.39194e-06 3.57756e-05 -1.63531e-05 7.25195e-07 4.90144e-08 3.19529e-07 7.99049e-07 -1.92084e-07 -1.51122e-06 -3.56981e-11 -6.12789e-11 -1.29834e-09 -3.21424e-10 1.90102e-09 2.55468e-11 4.36278e-10 -6.76040e-10 -6.43111e-10 5.46154e-10

#tof5k_z0_q1
2 0 0 20
# precision: tgt 5.00e-03 max 2.16e-01 (4326.6%) avg 2.00e-02 (399.3%)
1.98694e+01 -7.67384e-02 -7.43736e-02 5.79915e-02 8.09551e-05 3.85605e-05 -2.34545e-04 1.64786e-05 -2.81713e-04 1.17653e-06 -2.05627e-08 1.19896e-08 1.52901e-07 2.16617e-08 1.24697e-07 -1.46047e-07 3.32266e-09 5.49542e-08 -2.38997e-07 -6.19780e-08
# precision: tgt 5.00e-03 max 1.61e-01 (3220.4%) avg 1.71e-02 (342.2%)
2.56327e+01 -7.01824e-02 -7.52735e-02 9.47998e-02 2.88651e-05 3.51130e-05 -2.56073e-04 7.56868e-05 -2.34950e-04 7.92173e-05 -9.11735e-09 -1.04819e-08 4.94208e-08 -1.22040e-09 7.46360e-08 -2.27974e-07 -1.13465e-08 1.46010e-07 -1.63715e-07 -1.27054e-08
# precision: tgt 5.00e-03 max 1.98e-01 (3966.7%) avg 2.19e-02 (438.2%)
2.07945e+01 2.51079e-02 3.97827e-02 1.27772e-01 -8.74056e-05 -2.21141e-04 -7.08939e-05 -1.11771e-04 -3.23152e-05 2.45181e-04 7.07815e-08 1.00663e-07 -5.34693e-08 9.01496e-08 -3.12252e-07 -1.85364e-07 6.90102e-08 -1.10795e-07 -1.72022e-07 1.12284e-07

#tof5k_z0_q2
2 0 1 20
# precision: tgt 5.00e-03 max 2.26e-01 (4519.2%) avg 2.02e-02 (403.7%)
-7.96614e+00 -7.26955e-02 7.10399e-02 6.89667e-03 -7.94081e-05 3.89649e-05 -2.20469e-04 -1.74202e-05 2.68022e-04 1.16543e-04 -2.64600e-08 -5.29889e-09 -1.39000e-07 1.84416e-08 1.17480e-07 -1.39832e-07 -2.93905e-09 -5.49875e-08 2.27018e-07 1.33852e-07
# precision: tgt 5.00e-03 max 1.47e-01 (2942.6%) avg 1.74e-02 (347.7%)
2.53267e+01 7.31791e-02 -7.86323e-02 9.00285e-02 3.07304e-05 -3.89553e-05 2.64375e-04 7.59941e-05 -2.45924e-04 6.54392e-05 1.14640e-08 -1.36621e-08 4.89909e-08 4.30565e-09 -7.70831e-08 2.35002e-07 -1.27547e-08 1.43624e-07 -1.74270e-07 -2.40800e-08
# precision: tgt 5.00e-03 max 2.00e-01 (3990.7%) avg 2.27e-02 (453.2%)
1.80419e+01 -3.25133e-02 4.20202e-02 1.16136e-01 -8.09627e-05 2.16651e-04 3.61819e-05 -1.11318e-04 -2.19307e-05 2.32502e-04 -6.65799e-08 1.00920e-07 -4.44359e-08 -9.16170e-08 3.00801e-07 1.45176e-07 7.07368e-08 -1.06776e-07 -1.58163e-07 1.11941e-07

#tof5k_z0_q3
2 0 2 20
# precision: tgt 5.00e-03 max 2.38e-01 (4753.4%) avg 2.75e-02 (549.5%)
9.54266e-01 -7.76078e-02 -7.19093e-02 6.27880e-02 -1.40117e-04 -1.42066e-04 -1.48230e-04 -7.56661e-05 -1.82237e-04 1.98179e-04 -7.93573e-08 -1.13443e-07 -1.47965e-07 -9.94207e-08 -1.32320e-07 -5.56530e-08 -4.97660e-08 -5.97823e-08 -1.31532e-07 1.64127e-07
# precision: tgt 5.00e-03 max 2.34e-01 (4682.7%) avg 2.43e-02 (485.0%)
-3.16487e+00 -7.44230e-02 -6.09683e-02 3.53062e-02 -8.86933e-05 -1.53867e-04 -1.76679e-04 -1.19510e-04 -9.05286e-05 1.34599e-04 -4.29472e-08 -7.25336e-08 -1.07589e-07 -9.97280e-08 -1.92412e-07 -9.18439e-08 -7.58355e-08 -1.16359e-07 5.69704e-09 1.09215e-07
# precision: tgt 5.00e-03 max 2.22e-01 (4436.7%) avg 2.60e-02 (519.4%)
5.00902e+01 7.81401e-02 8.18176e-02 2.15171e-01 1.03553e-05 -5.02961e-05 3.46004e-04 3.88739e-05 3.37365e-04 2.98252e-04 -4.61682e-08 -6.27513e-08 1.04057e-07 -5.31147e-08 -1.65254e-08 3.39552e-07 -2.84314e-08 1.37477e-07 3.15372e-07 1.00710e-07

#tof5k_z0_q4
2 0 3 20
# precision: tgt 5.00e-03 max 2.40e-01 (4797.2%) avg 2.77e-02 (553.6%)
9.36630e+00 -7.52496e-02 6.82574e-02 -1.59068e-03 1.43546e-04 -1.45107e-04 -1.34266e-04 7.52859e-05 1.66602e-04 -7.56996e-05 -7.91835e-08 1.16330e-07 1.54905e-07 -1.04044e-07 -1.32567e-07 -3.80637e-08 5.16098e-08 5.50650e-08 1.17629e-07 -8.20056e-08
# precision: tgt 5.00e-03 max 2.34e-01 (4675.8%) avg 2.44e-02 (487.2%)
-1.49247e+01 7.69402e-02 -6.43332e-02 -2.92822e-02 -8.75452e-05 1.52651e-04 1.87183e-04 -1.19494e-04 -1.03107e-04 1.65892e-05 4.21292e-08 -7.02274e-08 -1.07752e-07 9.70192e-08 1.94855e-07 1.00585e-07 -7.51794e-08 -1.18795e-07 -3.75059e-09 3.68735e-08
# precision: tgt 5.00e-03 max 1.97e-01 (3941.1%) avg 2.62e-02 (523.9%)
5.55432e+01 -9.16672e-02 9.30368e-02 2.36037e-01 1.06592e-05 4.70125e-05 -3.97137e-04 4.30082e-05 3.76924e-04 3.18168e-04 4.83844e-08 -6.45780e-08 1.07825e-07 5.49387e-08 6.98205e-09 -3.86515e-07 -2.89163e-08 1.47243e-07 3.48394e-07 1.00969e-07

#tof5k_z1_q1
2 1 0 20
# precision: tgt 5.00e-03 max 7.23e-02 (1446.4%) avg 7.82e-03 (156.3%)
1.36922e+00 -2.11160e-02 -2.26081e-02 -1.00043e-02 3.48345e-05 3.46781e-05 -4.79095e-05 1.70403e-05 -7.47708e-05 -5.33599e-05 -1.89525e-08 -1.86134e-08 4.82911e-08 -9.91524e-09 6.19343e-08 -1.39463e-08 -7.94773e-09 2.76364e-08 -5.63240e-08 -5.34934e-08
# precision: tgt 5.00e-03 max 6.56e-02 (1311.6%) avg 7.31e-03 (146.1%)
3.37657e+00 -2.42586e-02 -2.32219e-02 1.39865e-03 2.05473e-05 3.20701e-05 -7.94540e-05 3.42111e-05 -5.94871e-05 -3.27115e-05 -1.06941e-08 -1.59030e-08 2.84550e-08 -1.96713e-08 4.82003e-08 -6.42344e-08 -1.70380e-08 4.88113e-08 -3.12457e-08 -4.32292e-08
# precision: tgt 5.00e-03 max 4.12e-02 (824.8%) avg 5.06e-03 (101.3%)
1.23899e+01 -6.50734e-03 -3.99501e-03 4.79884e-02 -9.78126e-06 -4.99731e-05 -6.84609e-05 -1.64356e-05 -6.37928e-05 7.95038e-05 1.69503e-08 2.86639e-08 1.38950e-08 2.62940e-08 -6.66751e-08 -9.92184e-08 1.74800e-08 -2.07494e-09 -1.02350e-07 2.50438e-08

#tof5k_z1_q2
2 1 1 20
# precision: tgt 5.00e-03 max 7.72e-02 (1543.5%) avg 8.27e-03 (165.3%)
-3.00006e+00 -1.97035e-02 2.18846e-02 -1.34697e-03 -3.33395e-05 3.57222e-05 -4.33790e-05 -1.83416e-05 7.01227e-05 2.74531e-05 -2.10234e-08 2.14589e-08 -4.04655e-08 -1.17461e-08 6.00944e-08 -1.33974e-08 8.64240e-09 -2.86013e-08 5.11378e-08 3.43841e-08
# precision: tgt 5.00e-03 max 6.61e-02 (1322.7%) avg 7.54e-03 (150.7%)
3.83573e+00 1.99736e-02 -1.89103e-02 8.37748e-03 2.07817e-05 -3.34441e-05 6.07211e-05 3.42806e-05 -4.08484e-05 -9.14771e-06 1.21075e-08 -1.85312e-08 2.60059e-08 2.19893e-08 -4.66556e-08 4.57567e-08 -1.80541e-08 4.66495e-08 -1.28375e-08 -2.06917e-08
# precision: tgt 5.00e-03 max 4.62e-02 (924.5%) avg 5.23e-03 (104.7%)
1.11681e+01 6.98066e-03 -5.59374e-03 3.90563e-02 -8.99244e-06 4.98521e-05 7.03151e-05 -1.67459e-05 -7.08445e-05 5.83065e-05 -1.49587e-08 2.78818e-08 1.35607e-08 -2.57025e-08 6.69506e-08 1.00955e-07 1.77514e-08 -2.35691e-09 -1.09915e-07 8.66846e-09

#tof5k_z1_q3
2 1 2 20
# precision: tgt 5.00e-03 max 8.81e-02 (1762.3%) avg 1.07e-02 (213.4%)
-5.64576e-01 -1.78293e-02 -1.90244e-02 1.28823e-02 -4.21211e-05 -4.80046e-05 -2.09627e-05 -2.61135e-05 -4.45456e-05 4.89757e-05 -3.22496e-08 -4.56611e-08 -3.38621e-08 -3.60067e-08 -4.40214e-08 7.05693e-09 -2.00840e-08 -1.96584e-08 -2.84722e-08 4.38696e-08
# precision: tgt 5.00e-03 max 9.39e-02 (1877.0%) avg 9.62e-03 (192.3%)
-5.74552e-01 -1.95730e-02 -1.38728e-02 1.18440e-02 -2.91524e-05 -5.13385e-05 -4.28688e-05 -3.75910e-05 -4.90192e-06 4.32154e-05 -1.79797e-08 -2.76836e-08 -3.38476e-08 -4.00963e-08 -6.46734e-08 -1.50017e-08 -3.10433e-08 -2.75356e-08 2.83704e-08 3.41902e-08
# precision: tgt 5.00e-03 max 4.70e-02 (940.5%) avg 6.69e-03 (133.8%)
1.29917e+01 2.49862e-02 2.56177e-02 3.55527e-02 8.68753e-06 -1.69888e-05 1.22886e-04 1.53161e-05 1.19040e-04 2.77915e-05 -9.52983e-09 -1.60017e-08 4.20106e-08 -1.23454e-08 -1.24601e-08 1.35792e-07 -4.57617e-09 4.94367e-08 1.26925e-07 -2.33850e-08

#tof5k_z1_q4
2 1 3 20
# precision: tgt 5.00e-03 max 8.44e-02 (1688.4%) avg 1.05e-02 (210.1%)
7.20448e-01 -1.82637e-02 1.94764e-02 -1.24524e-02 4.54092e-05 -5.20164e-05 -1.73394e-05 2.74990e-05 4.32759e-05 -4.71001e-05 -3.16341e-08 4.63087e-08 4.20189e-08 -3.67761e-08 -5.11335e-08 1.67228e-08 2.00273e-08 2.22385e-08 2.44601e-08 -4.06848e-08
# precision: tgt 5.00e-03 max 8.88e-02 (1776.3%) avg 9.64e-03 (192.8%)
9.03153e-01 1.94719e-02 -1.39049e-02 2.14240e-02 -2.94681e-05 5.04664e-05 4.24794e-05 -3.79984e-05 -4.87817e-06 6.39832e-05 1.71835e-08 -2.51736e-08 -3.68213e-08 3.70542e-08 6.79925e-08 1.25262e-08 -3.01106e-08 -3.12097e-08 3.09401e-08 4.86269e-08
# precision: tgt 5.00e-03 max 4.50e-02 (899.5%) avg 6.74e-03 (134.8%)
1.32864e+01 -2.64628e-02 2.70063e-02 3.64671e-02 9.85124e-06 1.54050e-05 -1.27245e-04 1.69461e-05 1.23107e-04 2.80300e-05 1.09937e-08 -1.68619e-08 4.61394e-08 1.29446e-08 8.07623e-09 -1.38231e-07 -4.73174e-09 5.33326e-08 1.28933e-07 -2.40923e-08

#tof5k_z10_q1
2 10 0 20
# precision: tgt 5.00e-03 max 1.02e-03 (20.4%) avg 1.38e-04 (2.8%)
4.42891e-03 -2.42569e-05 -3.00946e-05 1.38750e-05 2.70723e-08 1.72626e-07 1.42002e-06 3.71936e-08 -1.02840e-07 1.45354e-07 1.32403e-11 -1.88604e-10 4.56881e-11 -1.71037e-10 1.40394e-10 -4.72268e-10 -1.92057e-11 1.12687e-10 -2.00307e-10 3.68944e-11
# precision: tgt 5.00e-03 max 7.81e-04 (15.6%) avg 1.12e-04 (2.2%)
-5.61456e-04 2.04731e-06 1.99282e-05 6.83672e-05 -1.25582e-09 -8.22660e-08 -1.42200e-07 -7.69754e-08 1.43266e-06 5.34007e-08 8.10965e-12 4.47995e-11 1.46543e-10 1.26749e-10 2.74221e-10 -1.95232e-10 9.77024e-11 -1.34562e-11 -2.87323e-10 -2.49492e-10
# precision: tgt 5.00e-03 max 1.26e-03 (25.2%) avg 2.03e-04 (4.1%)
5.00981e+00 -3.76607e-05 1.61673e-05 1.37526e-06 8.59708e-07 1.58773e-07 2.85581e-08 8.58170e-07 -4.20323e-08 -1.53544e-06 -1.23543e-10 -2.76949e-10 -8.87467e-13 -2.17712e-10 1.00392e-10 1.20147e-10 -1.30036e-10 2.18017e-11 2.11601e-10 -1.78887e-10

#tof5k_z10_q2
2 10 1 20
# precision: tgt 5.00e-03 max 8.35e-04 (16.7%) avg 1.20e-04 (2.4%)
-8.94041e-03 -3.60425e-05 5.69938e-05 -4.59166e-05 -7.77929e-08 2.65926e-07 1.29546e-06 -1.28918e-07 1.00846e-07 4.50375e-08 1.27931e-11 2.65027e-10 -7.50797e-11 -3.24801e-10 2.49753e-10 -6.69237e-11 6.41534e-11 4.03423e-11 1.80335e-10 5.14764e-10
# precision: tgt 5.00e-03 max 9.09e-04 (18.2%) avg 8.39e-05 (1.7%)
5.42684e-03 3.77247e-05 -2.55747e-05 7.56564e-05 9.06086e-08 -1.86731e-07 1.33195e-07 4.12783e-08 1.39002e-06 4.39632e-08 6.11875e-11 -2.47485e-10 9.59631e-11 1.14786e-10 -1.21420e-10 5.92236e-11 -1.47110e-11 4.18589e-11 -2.07271e-10 -1.84013e-10
# precision: tgt 5.00e-03 max 1.07e-03 (21.5%) avg 1.94e-04 (3.9%)
5.00535e+00 -2.51365e-05 6.06319e-05 4.84309e-06 7.59233e-07 6.58186e-08 2.77891e-07 7.24405e-07 -9.68777e-08 -1.63441e-06 1.17804e-10 1.09830e-11 5.16292e-10 3.80668e-13 -4.46481e-10 -8.27902e-10 -6.51020e-12 1.50841e-10 6.04131e-10 7.52831e-10

#tof5k_z10_q3
2 10 2 20
# precision: tgt 5.00e-03 max 9.85e-04 (19.7%) avg 1.56e-04 (3.1%)
7.04423e-04 3.71762e-05 -1.43662e-05 -2.27603e-05 8.37783e-08 1.58251e-09 1.51320e-06 -1.02627e-07 -3.53352e-08 4.11243e-08 9.89521e-11 1.04288e-10 3.42329e-10 -2.34461e-10 -2.70655e-11 -6.04151e-11 -9.39568e-11 6.64206e-11 -1.46058e-10 4.73293e-10
# precision: tgt 5.00e-03 max 3.13e-03 (62.6%) avg 2.03e-04 (4.1%)
-1.51293e-02 -1.04441e-04 -1.05773e-04 3.37988e-05 -1.95681e-07 -6.05797e-07 -8.47390e-08 -2.21918e-07 1.42400e-06 1.59995e-08 -8.63928e-11 -7.30526e-10 -1.24520e-10 -6.46006e-10 -2.55246e-11 -1.70946e-10 -1.27034e-10 2.21920e-11 2.22221e-10 5.56276e-11
# precision: tgt 5.00e-03 max 1.15e-03 (23.0%) avg 1.96e-04 (3.9%)
5.01501e+00 4.29347e-05 1.05756e-04 -4.09923e-05 9.16284e-07 3.12002e-07 4.47917e-08 9.27077e-07 -1.81131e-08 -1.68236e-06 2.34691e-10 3.72730e-10 2.31357e-10 4.84659e-10 -1.13870e-11 -7.71973e-10 2.23971e-10 2.09262e-10 -1.85048e-10 -6.83893e-10

#tof5k_z10_q4
2 10 3 20
# precision: tgt 5.00e-03 max 1.88e-03 (37.7%) avg 3.28e-04 (6.6%)
2.21155e-02 -1.69889e-04 1.24360e-04 1.47190e-05 4.06314e-07 -7.82899e-07 1.41306e-06 1.38385e-07 1.31430e-07 4.03507e-08 -2.91974e-10 1.19009e-09 3.07109e-11 -5.85931e-10 -2.48920e-10 -2.78145e-10 -3.02702e-11 2.01612e-10 5.96188e-11 -6.47915e-10
# precision: tgt 5.00e-03 max 2.88e-03 (57.6%) avg 2.77e-04 (5.5%)
1.05387e-04 2.84888e-05 3.95603e-05 2.73329e-05 -1.75553e-07 -1.32420e-07 1.04263e-08 1.50850e-07 1.39080e-06 2.89782e-08 2.59856e-10 -1.00080e-10 5.88042e-11 -5.43156e-10 1.04229e-10 1.49873e-10 7.16195e-11 1.36581e-11 -7.77825e-12 8.39694e-10
# precision: tgt 5.00e-03 max 9.42e-04 (18.8%) avg 1.77e-04 (3.5%)
5.00200e+00 2.05287e-05 -1.64348e-06 -7.00882e-06 7.21087e-07 1.73345e-07 9.46199e-08 6.44861e-07 5.05684e-08 -1.54995e-06 -1.90104e-11 -1.54202e-10 -8.99734e-11 2.16196e-10 -1.38140e-11 2.75218e-10 -1.02278e-11 1.05831e-10 3.64307e-11 -4.90624e-10

#tof5k_z11_q1
2 11 0 20
# precision: tgt 5.00e-03 max 8.29e-04 (16.6%) avg 1.37e-04 (2.7%)
-6.51991e-03 4.47308e-05 4.34379e-05 1.14078e-05 -6.39984e-08 -1.92888e-07 1.42734e-06 -1.30556e-07 -1.55237e-08 2.27829e-08 -2.87488e-11 2.15633e-10 7.94363e-11 2.33416e-10 8.33318e-11 -4.87795e-11 1.21564e-10 -6.29211e-11 9.52024e-14 -2.36137e-11
# precision: tgt 5.00e-03 max 6.79e-04 (13.6%) avg 1.05e-04 (2.1%)
-1.79168e-03 2.20349e-05 1.29935e-05 5.72073e-05 -8.37286e-08 -8.83063e-08 -7.31897e-08 -6.87254e-09 1.42299e-06 2.47441e-08 1.06485e-10 1.23098e-10 3.85030e-11 1.43806e-11 2.48940e-10 -8.08302e-11 -1.47094e-11 6.83115e-11 1.44560e-10 -1.87427e-10
# precision: tgt 5.00e-03 max 1.38e-03 (27.5%) avg 2.46e-04 (4.9%)
5.01695e+00 -8.39072e-05 -1.36927e-05 -3.21679e-05 9.51214e-07 3.21879e-07 9.48355e-08 8.66585e-07 8.74399e-09 -1.37426e-06 -1.67413e-10 -5.20492e-10 5.86756e-11 -2.58987e-10 -2.39585e-11 -7.74505e-11 -9.87999e-11 1.45306e-10 -2.42383e-10 -4.99938e-10

#tof5k_z11_q2
2 11 1 20
# precision: tgt 5.00e-03 max 6.81e-04 (13.6%) avg 1.11e-04 (2.2%)
-6.01271e-03 -3.88074e-05 3.42536e-05 -2.83963e-05 -1.75573e-07 2.17226e-07 1.44045e-06 -7.97343e-08 7.58415e-08 4.99990e-08 -1.76197e-10 3.13405e-10 1.17160e-10 -2.25515e-10 1.02066e-10 2.96602e-10 3.82256e-11 1.59187e-11 -2.06225e-10 3.73628e-10
# precision: tgt 5.00e-03 max 1.04e-03 (20.7%) avg 1.21e-04 (2.4%)
-6.30666e-03 -4.07074e-05 5.06965e-05 5.83936e-05 -7.04090e-08 1.58037e-07 7.30226e-08 -1.05071e-07 1.44021e-06 -2.78178e-08 -3.79186e-11 1.36963e-10 -1.54172e-11 -2.04971e-10 -1.44615e-10 -5.79349e-11 6.06559e-11 3.42563e-11 1.88067e-10 -1.61385e-11
# precision: tgt 5.00e-03 max 1.37e-03 (27.5%) avg 2.69e-04 (5.4%)
5.01149e+00 1.91603e-05 3.22759e-05 -2.35979e-05 8.53211e-07 -8.80959e-08 5.82258e-08 7.45202e-07 -1.66913e-08 -1.49330e-06 1.62547e-10 -2.39258e-10 1.72322e-10 2.91522e-11 -1.38061e-11 -6.08983e-11 2.17959e-12 1.89332e-10 -1.03002e-10 2.08767e-10

#tof5k_z11_q3
2 11 2 20
# precision: tgt 5.00e-03 max 1.60e-03 (32.1%) avg 1.95e-04 (3.9%)
-1.54424e-03 1.38364e-05 -1.08890e-05 -2.37484e-05 1.01001e-08 -4.68033e-08 1.42488e-06 -2.94855e-08 -5.79670e-08 3.72502e-08 2.72515e-11 -3.19995e-11 6.48765e-11 -1.70514e-10 -1.30644e-10 1.79131e-10 3.18218e-11 -3.06405e-11 3.92005e-11 -9.87882e-11
# precision: tgt 5.00e-03 max 2.95e-03 (59.1%) avg 1.99e-04 (4.0%)
-1.26285e-02 -8.30323e-05 -1.02343e-04 2.30407e-05 -1.42963e-07 -5.34437e-07 -4.33642e-08 -2.58298e-07 1.40809e-06 -8.68675e-09 -4.24163e-11 -6.34026e-10 -1.59969e-11 -6.13697e-10 -3.81178e-11 1.01199e-10 -1.96351e-10 1.06257e-10 2.36485e-10 6.28652e-10
# precision: tgt 5.00e-03 max 1.71e-03 (34.2%) avg 2.70e-04 (5.4%)
5.00796e+00 -2.38751e-05 6.32364e-05 -2.60097e-05 7.19812e-07 3.30207e-08 7.49220e-08 8.47035e-07 -7.68535e-08 -1.31861e-06 5.78966e-11 -6.96742e-11 1.94257e-10 2.48014e-10 -4.17814e-11 6.54123e-11 1.62195e-10 -3.29080e-11 3.72527e-10 -1.55458e-10

#tof5k_z11_q4
2 11 3 20
# precision: tgt 5.00e-03 max 2.15e-03 (43.0%) avg 2.54e-04 (5.1%)
8.69147e-03 -7.13855e-05 4.75518e-05 6.47520e-06 1.92521e-07 -3.43974e-07 1.51168e-06 2.70681e-08 5.51458e-08 -5.85546e-08 -1.64904e-10 6.23672e-10 -1.10174e-10 -1.72274e-10 1.14339e-11 1.01350e-10 -3.56342e-11 7.58373e-11 -1.14848e-10 3.15578e-10
# precision: tgt 5.00e-03 max 2.88e-03 (57.6%) avg 3.44e-04 (6.9%)
3.16520e-03 1.93394e-05 6.18905e-05 1.72888e-06 -1.81382e-07 -1.78713e-07 1.49639e-07 2.10903e-07 1.30510e-06 1.05491e-07 2.77904e-10 -1.23894e-10 -1.48729e-10 -6.11731e-10 2.86353e-10 -1.32163e-10 1.34865e-10 -6.48809e-11 1.76465e-10 -6.13920e-10
# precision: tgt 5.00e-03 max 1.67e-03 (33.5%) avg 2.36e-04 (4.7%)
5.00246e+00 3.65836e-05 1.74672e-05 -5.97600e-05 6.41350e-07 1.73879e-07 2.10916e-07 7.17689e-07 -2.62222e-07 -1.32459e-06 6.62331e-11 -3.14433e-10 -6.98718e-11 5.77812e-11 4.94437e-10 -2.16364e-10 3.21422e-11 -3.07583e-10 3.58519e-10 8.97843e-11

#tof5k_z12_q1
2 12 0 20
# precision: tgt 5.00e-03 max 6.03e-04 (12.1%) avg 1.27e-04 (2.5%)
-5.62971e-03 5.24281e-05 3.12582e-05 1.23924e-06 -1.28727e-07 -1.87201e-07 1.50525e-06 -9.14538e-08 5.26822e-08 -4.70755e-08 7.02471e-11 2.91184e-10 -5.25687e-11 1.83696e-10 -8.81812e-11 8.51577e-11 8.59326e-11 -1.54213e-10 5.56677e-11 1.18606e-10
# precision: tgt 5.00e-03 max 7.24e-04 (14.5%) avg 9.40e-05 (1.9%)
-1.07286e-03 9.29955e-06 1.19891e-05 4.22065e-05 -3.23522e-08 -6.49836e-08 7.40608e-09 -7.40377e-09 1.49666e-06 4.33147e-09 5.12644e-11 4.68306e-11 -8.21096e-11 4.14268e-11 2.06417e-11 6.71097e-11 -2.30913e-11 -2.17101e-11 2.17864e-10 -2.56529e-10
# precision: tgt 5.00e-03 max 1.58e-03 (31.6%) avg 2.59e-04 (5.2%)
5.01170e+00 -5.60533e-05 2.07487e-05 6.48976e-06 9.12914e-07 1.85786e-07 -3.58982e-08 7.95270e-07 -1.77606e-07 -1.43092e-06 -1.67822e-10 -3.86805e-10 1.83168e-10 -1.32357e-10 4.03177e-10 -2.91220e-10 -4.68796e-11 3.53421e-10 -2.20283e-10 2.54462e-10

#tof5k_z12_q2
2 12 1 20
# precision: tgt 5.00e-03 max 8.37e-04 (16.7%) avg 1.02e-04 (2.0%)
-4.16915e-03 -8.98313e-06 1.91726e-05 -2.12418e-05 -5.54956e-08 1.15927e-07 1.44223e-06 -2.41516e-08 3.59054e-08 4.59956e-08 -4.09735e-11 1.12297e-10 5.06587e-11 -1.34302e-10 1.93353e-11 2.22668e-10 -3.75934e-11 6.55420e-11 -2.20547e-10 2.02001e-10
# precision: tgt 5.00e-03 max 6.27e-04 (12.5%) avg 9.86e-05 (2.0%)
-4.18525e-03 -2.55273e-05 3.80087e-05 6.03629e-05 -4.33573e-08 8.06805e-08 9.39845e-08 -7.96663e-08 1.42019e-06 -3.34154e-08 -3.67252e-11 1.55463e-11 2.26650e-11 -1.51016e-10 -1.26887e-10 -1.83461e-10 3.42296e-11 8.74229e-11 2.49927e-10 -2.20915e-10
# precision: tgt 5.00e-03 max 1.42e-03 (28.5%) avg 2.57e-04 (5.1%)
5.00649e+00 -2.68412e-05 7.63494e-05 -1.21105e-05 7.07724e-07 1.10584e-07 1.59127e-07 6.09407e-07 -1.15676e-07 -1.35091e-06 6.32385e-12 1.51647e-11 3.18296e-10 -2.11830e-10 -2.71859e-10 9.96612e-11 1.45693e-10 3.32679e-10 -2.14998e-10 -2.88397e-10

#tof5k_z12_q3
2 12 2 20
# precision: tgt 5.00e-03 max 1.50e-03 (29.9%) avg 1.88e-04 (3.8%)
4.55964e-04 3.28860e-05 1.54208e-06 -3.17004e-05 7.38059e-08 2.22190e-08 1.38140e-06 -4.47236e-09 -9.50522e-08 -3.77200e-09 1.02629e-10 5.86523e-11 2.36372e-11 -9.11471e-11 -1.99543e-10 1.88896e-10 4.35991e-11 -7.36878e-11 3.45326e-11 2.38636e-10
# precision: tgt 5.00e-03 max 2.82e-03 (56.4%) avg 2.04e-04 (4.1%)
-9.57270e-03 -5.97778e-05 -6.31465e-05 3.42098e-05 -8.38138e-08 -3.88366e-07 -1.04817e-08 -1.04026e-07 1.42952e-06 -7.95124e-08 5.09488e-12 -4.46921e-10 6.60003e-11 -4.03237e-10 4.59893e-11 2.23051e-10 -3.63971e-12 6.72896e-11 1.54370e-11 6.38022e-10
# precision: tgt 5.00e-03 max 1.72e-03 (34.4%) avg 2.80e-04 (5.6%)
5.00412e+00 -5.40377e-05 2.78169e-05 -2.97778e-05 6.28024e-07 -1.40412e-07 -2.52346e-08 7.30622e-07 -1.80812e-07 -1.47352e-06 -4.88116e-11 -2.71089e-10 -1.92063e-11 -9.73925e-12 -1.52684e-10 1.12273e-10 3.08602e-11 -2.84539e-10 2.51759e-10 4.89817e-10

#tof5k_z12_q4
2 12 3 20
# precision: tgt 5.00e-03 max 2.01e-03 (40.3%) avg 2.35e-04 (4.7%)
1.22612e-02 -8.90634e-05 6.37230e-05 -1.40721e-05 2.10184e-07 -4.27082e-07 1.53671e-06 3.09081e-08 7.95523e-10 1.45592e-07 -1.50172e-10 7.09801e-10 -1.18849e-10 -2.39861e-10 4.79902e-11 -2.42532e-12 -6.97740e-11 5.78001e-11 1.81434e-10 -4.92494e-10
# precision: tgt 5.00e-03 max 2.95e-03 (59.0%) avg 3.19e-04 (6.4%)
9.07243e-04 2.55293e-05 5.74981e-05 2.36556e-05 -1.65005e-07 -1.53109e-07 8.16453e-08 2.52087e-07 1.38214e-06 -4.10698e-08 2.40126e-10 -9.92166e-11 -8.92687e-11 -5.87459e-10 1.84963e-10 -1.43084e-11 2.29909e-10 -8.14960e-11 -2.79975e-10 5.83336e-11
# precision: tgt 5.00e-03 max 1.72e-03 (34.4%) avg 2.52e-04 (5.0%)
4.99949e+00 5.28230e-05 -2.41566e-07 -3.92229e-05 6.15322e-07 2.56022e-07 1.40876e-07 6.87138e-07 -2.06351e-07 -1.34176e-06 8.68640e-11 -3.79777e-10 -9.44171e-11 1.60850e-10 2.96174e-10 -4.75481e-11 1.78884e-11 -3.37136e-10 2.72086e-10 -2.10042e-10

#tof5k_z13_q1
2 13 0 20
# precision: tgt 5.00e-03 max 1.08e-03 (21.5%) avg 1.58e-04 (3.2%)
-2.22130e-02 1.41782e-04 1.04678e-04 1.57146e-04 -2.63888e-07 -4.06421e-07 7.93211e-07 -1.49997e-07 -6.31551e-07 -2.21098e-07 1.48911e-10 4.24390e-10 4.78218e-10 2.45311e-10 1.15126e-09 1.15577e-09 6.34503e-11 3.66593e-10 1.00814e-09 -4.54057e-10
# precision: tgt 5.00e-03 max 1.24e-03 (24.7%) avg 1.60e-04 (3.2%)
1.53455e-02 2.33883e-05 2.08591e-05 -3.63745e-04 -7.52635e-08 -5.12273e-08 -1.84483e-07 -1.94965e-08 1.29742e-06 3.45439e-06 5.42704e-11 1.34640e-11 3.68699e-10 -1.91238e-12 2.04892e-10 1.84661e-10 -3.03011e-11 2.30960e-10 6.67714e-10 -9.64966e-09
# precision: tgt 5.00e-03 max 1.37e-03 (27.5%) avg 2.55e-04 (5.1%)
5.03102e+00 -7.70959e-05 -1.73629e-05 -3.78526e-04 8.39073e-07 1.38482e-07 6.43796e-07 7.51678e-07 6.45434e-07 6.14372e-07 -5.18234e-11 -1.15005e-10 -2.43362e-10 4.37355e-11 -7.04477e-10 -1.58814e-09 6.84681e-11 -1.40445e-10 -1.98416e-09 -3.85793e-09

#tof5k_z13_q2
2 13 1 20
# precision: tgt 5.00e-03 max 1.39e-03 (27.7%) avg 1.49e-04 (3.0%)
1.20283e-02 8.41428e-05 -6.46649e-05 -1.49009e-04 1.66472e-07 -2.24172e-07 1.15772e-06 1.46533e-07 3.43774e-07 6.08646e-07 1.47602e-10 -2.89340e-10 -2.12381e-10 1.95506e-10 4.40415e-10 5.35220e-10 -1.60414e-10 -2.10311e-10 -6.77348e-10 -9.06653e-10
# precision: tgt 5.00e-03 max 1.51e-03 (30.1%) avg 1.54e-04 (3.1%)
7.85981e-03 -5.47473e-05 3.98496e-05 -2.30574e-04 -1.42929e-07 4.96909e-08 4.65243e-07 -6.27581e-08 1.15195e-06 2.67208e-06 -1.01380e-10 -1.08637e-11 7.13243e-10 -5.20797e-11 -4.66909e-10 -5.31301e-10 1.28562e-11 3.16660e-10 8.88336e-10 -7.86121e-09
# precision: tgt 5.00e-03 max 1.54e-03 (30.8%) avg 2.77e-04 (5.5%)
5.01635e+00 -4.40636e-05 9.02240e-05 -3.36868e-04 5.86873e-07 3.65953e-07 -4.70472e-07 5.02311e-07 4.59516e-07 4.79792e-07 -1.21834e-10 4.17327e-10 -5.38501e-11 -5.11409e-10 1.28332e-11 2.13900e-09 2.68934e-10 7.60986e-11 -2.10308e-09 -3.10830e-09

#tof5k_z13_q3
2 13 2 20
# precision: tgt 5.00e-03 max 1.71e-03 (34.1%) avg 2.32e-04 (4.6%)
-5.80784e-03 7.87057e-05 2.16371e-05 1.96870e-04 2.39808e-07 1.59909e-07 1.30853e-06 4.43296e-08 -1.06347e-07 -1.84071e-06 2.68166e-10 2.76770e-10 -2.23910e-10 4.46918e-11 -2.30103e-10 1.12727e-10 7.72842e-11 -1.09651e-10 1.19423e-10 5.04517e-09
# precision: tgt 5.00e-03 max 2.59e-03 (51.8%) avg 2.47e-04 (4.9%)
-5.51343e-03 -1.90793e-05 -2.34597e-05 3.68007e-05 3.25391e-08 -1.85091e-07 -2.01434e-08 7.07997e-08 1.58437e-06 4.51216e-08 1.08187e-10 -1.58177e-10 6.63648e-11 -1.26713e-10 1.40801e-10 3.14928e-10 2.17226e-10 1.18008e-10 -5.35588e-10 -1.48959e-10
# precision: tgt 5.00e-03 max 1.90e-03 (38.0%) avg 2.97e-04 (5.9%)
4.99254e+00 -9.67237e-05 -1.23032e-05 8.50870e-05 5.81251e-07 -3.60647e-07 1.78986e-07 6.95787e-07 -5.59059e-08 -1.90127e-06 -7.42292e-11 -3.03008e-10 2.02530e-10 -1.44635e-10 1.22865e-09 9.17315e-10 -4.93797e-13 -4.22604e-10 9.17764e-10 2.17158e-09

#tof5k_z13_q4
2 13 3 20
# precision: tgt 5.00e-03 max 2.14e-03 (42.9%) avg 2.83e-04 (5.7%)
-8.05399e-04 -6.20989e-05 4.77555e-05 2.57818e-04 1.69116e-07 -3.96112e-07 1.19218e-06 1.45756e-08 1.87671e-07 -1.69231e-06 -1.28935e-10 7.43244e-10 2.47819e-10 -2.19169e-10 -3.69056e-10 5.07786e-10 -1.04761e-10 3.81673e-12 -2.57656e-10 4.17561e-09
# precision: tgt 5.00e-03 max 2.67e-03 (53.4%) avg 3.02e-04 (6.0%)
9.01458e-03 2.41696e-06 1.05130e-04 -6.95711e-05 -1.08322e-07 -3.45549e-07 -4.23755e-08 4.38732e-07 1.45394e-06 8.26930e-07 1.79029e-10 1.48828e-10 1.73078e-10 -8.63780e-10 8.44853e-11 7.58062e-11 4.30838e-10 -2.13113e-10 -7.39545e-10 -2.51403e-09
# precision: tgt 5.00e-03 max 1.87e-03 (37.5%) avg 2.57e-04 (5.1%)
4.98792e+00 7.76286e-05 -3.39651e-05 1.33574e-04 6.16916e-07 3.83473e-07 -1.12817e-07 6.50863e-07 9.21569e-09 -2.21547e-06 7.04202e-11 -3.09402e-10 1.44329e-10 2.23828e-10 -9.81924e-10 -6.15100e-10 -1.86547e-11 -3.05545e-10 7.87289e-10 2.79773e-09

#tof5k_z14_q1
2 14 0 20
# precision: tgt 5.00e-03 max 1.27e-03 (25.4%) avg 1.93e-04 (3.9%)
-1.85834e-02 1.39078e-04 1.00053e-04 7.42844e-05 -4.10912e-07 -5.39270e-07 1.41113e-06 -2.27161e-07 -1.65037e-07 -2.31303e-07 3.30613e-10 7.20292e-10 3.48343e-10 4.71907e-10 6.28226e-10 -5.55993e-10 1.39413e-10 2.77024e-10 -2.20329e-10 6.28332e-10
# precision: tgt 5.00e-03 max 1.64e-03 (32.9%) avg 2.05e-04 (4.1%)
-8.34935e-03 5.93688e-05 5.38460e-05 7.59734e-05 -1.74150e-07 -2.67726e-07 -1.02755e-07 -1.61910e-07 1.49839e-06 -7.23341e-08 1.92686e-10 2.61200e-10 1.62924e-10 1.83097e-10 6.00275e-10 -3.32892e-10 1.27877e-10 3.78516e-10 -7.39639e-10 4.16709e-10
# precision: tgt 5.00e-03 max 1.10e-03 (22.0%) avg 1.90e-04 (3.8%)
5.00699e+00 -2.25026e-06 4.00164e-05 -6.46842e-05 7.22186e-07 -1.39134e-07 3.41253e-07 7.51048e-07 2.73392e-07 -1.20429e-06 6.93772e-11 1.56016e-10 -3.27439e-10 1.53725e-10 1.15292e-10 -1.04225e-09 6.89673e-11 -3.11907e-10 -1.12430e-09 2.32250e-10

#tof5k_z14_q2
2 14 1 20
# precision: tgt 5.00e-03 max 1.92e-03 (38.3%) avg 2.02e-04 (4.0%)
1.19350e-02 1.41772e-04 -1.26187e-04 2.23910e-05 4.32876e-07 -6.71791e-07 1.64227e-06 3.55442e-07 4.98810e-08 -2.06186e-07 4.16743e-10 -8.48147e-10 -2.03020e-10 6.71053e-10 7.14405e-10 -1.31582e-09 -3.43302e-10 -2.54814e-10 6.19619e-10 -1.43659e-10
# precision: tgt 5.00e-03 max 1.87e-03 (37.5%) avg 2.06e-04 (4.1%)
-6.09294e-03 -8.39889e-05 6.75071e-05 2.26987e-05 -2.86745e-07 3.18896e-07 1.25253e-07 -2.27743e-07 1.52722e-06 2.15939e-07 -3.02178e-10 3.47088e-10 4.35747e-10 -2.95579e-10 -8.13147e-10 7.46617e-10 1.62920e-10 5.93514e-10 -1.22042e-09 1.60754e-10
# precision: tgt 5.00e-03 max 1.33e-03 (26.6%) avg 2.28e-04 (4.6%)
5.00336e+00 -3.72351e-05 1.04066e-04 -1.07270e-04 7.07409e-07 4.47176e-07 -4.84692e-07 5.39980e-07 4.03322e-07 -1.20755e-06 -3.23703e-11 5.50942e-10 -8.16329e-10 -5.97147e-10 2.98482e-10 9.03198e-10 2.63921e-10 -3.77888e-10 -1.15931e-09 3.17494e-10

#tof5k_z14_q3
2 14 2 20
# precision: tgt 5.00e-03 max 1.78e-03 (35.6%) avg 2.60e-04 (5.2%)
3.69351e-03 9.76601e-05 5.89156e-05 4.36341e-05 4.03547e-07 4.09391e-07 1.74618e-06 1.58291e-07 -1.98447e-08 -3.07177e-07 5.08609e-10 6.08364e-10 1.75894e-11 2.89498e-10 -4.87111e-10 -1.30608e-09 1.73920e-10 -2.12001e-10 -5.85887e-10 1.00716e-10
# precision: tgt 5.00e-03 max 2.56e-03 (51.2%) avg 3.17e-04 (6.3%)
-4.09724e-03 2.41675e-05 7.83955e-06 8.98299e-05 2.17206e-07 8.10417e-08 1.32555e-07 2.53393e-07 1.85507e-06 -1.54377e-07 2.80874e-10 1.64841e-10 -1.30116e-10 1.99813e-10 -9.01024e-11 -6.22324e-10 4.79557e-10 2.82957e-10 -1.36517e-09 -2.34359e-10
# precision: tgt 5.00e-03 max 1.44e-03 (28.9%) avg 2.31e-04 (4.6%)
5.00993e+00 5.60407e-07 9.18751e-05 -6.35643e-05 7.99753e-07 -6.32704e-08 -3.12358e-07 9.21271e-07 -5.85823e-07 -1.44388e-06 5.68694e-11 -1.34859e-10 -6.14003e-10 6.44697e-12 -1.44321e-10 6.86101e-10 1.56266e-10 -1.18903e-09 7.34150e-10 7.80698e-10

#tof5k_z14_q4
2 14 3 20
# precision: tgt 5.00e-03 max 2.11e-03 (42.2%) avg 3.49e-04 (7.0%)
1.49258e-02 -6.23921e-05 1.54488e-05 -1.04071e-04 7.22417e-08 -2.77569e-07 1.54396e-06 -1.29736e-07 1.62977e-07 7.14754e-07 5.70137e-12 6.04422e-10 2.25028e-10 -4.60956e-11 -4.17743e-10 -7.20734e-10 -2.31708e-10 2.87960e-10 1.81125e-10 -1.13099e-09
# precision: tgt 5.00e-03 max 2.63e-03 (52.7%) avg 2.73e-04 (5.5%)
4.75673e-03 -4.20506e-05 1.12450e-04 8.36335e-05 3.82944e-08 -5.36302e-07 5.83940e-09 5.60743e-07 1.81120e-06 -1.97745e-07 8.26237e-11 3.97830e-10 -1.44127e-10 -1.14919e-09 5.17836e-11 2.32196e-10 7.06874e-10 3.94831e-10 -1.08406e-09 4.89615e-11
# precision: tgt 5.00e-03 max 1.29e-03 (25.9%) avg 2.30e-04 (4.6%)
5.00629e+00 5.71211e-06 5.77394e-05 -7.42345e-05 7.41072e-07 1.73734e-07 3.27286e-07 8.46785e-07 -4.88214e-07 -1.24772e-06 1.33264e-11 -2.02490e-10 -3.53246e-10 1.40983e-10 3.29125e-11 -8.63553e-10 7.33369e-11 -1.18437e-09 5.88683e-10 3.30158e-10

#tof5k_z15_q1
2 15 0 20
# precision: tgt 5.00e-03 max 2.58e-03 (51.5%) avg 2.63e-04 (5.3%)
-3.98601e-02 2.78311e-04 2.35884e-04 1.22028e-04 -7.99246e-07 -1.04690e-06 1.21377e-06 -4.89047e-07 -5.61284e-07 -4.86764e-08 7.29339e-10 1.33230e-09 5.33403e-10 8.93541e-10 1.21492e-09 -5.91455e-10 3.57810e-10 5.60331e-10 1.08261e-10 6.68471e-11
# precision: tgt 5.00e-03 max 3.14e-03 (62.8%) avg 3.08e-04 (6.2%)
-2.38077e-02 1.96394e-04 2.09922e-04 4.14928e-05 -4.84015e-07 -8.27002e-07 -3.68830e-07 -5.34169e-07 1.16856e-06 4.09436e-07 4.48834e-10 7.72720e-10 4.67563e-10 7.74530e-10 1.27275e-09 -3.39087e-10 4.85003e-10 6.03531e-10 -5.20266e-10 -4.61624e-10
# precision: tgt 5.00e-03 max 1.79e-03 (35.7%) avg 2.47e-04 (4.9%)
5.01302e+00 -3.51435e-05 7.35149e-06 -1.29465e-04 7.50298e-07 -2.37997e-07 7.72182e-07 8.10926e-07 6.40628e-07 -1.19305e-06 1.20096e-10 3.86674e-10 -9.01256e-10 2.94149e-10 -2.41809e-10 -1.38425e-09 3.24504e-11 -6.94785e-10 -1.49392e-09 3.84597e-10

#tof5k_z15_q2
2 15 1 20
# precision: tgt 5.00e-03 max 3.27e-03 (65.4%) avg 2.83e-04 (5.7%)
4.11465e-02 2.91313e-04 -2.60082e-04 -1.53584e-04 7.56087e-07 -1.11459e-06 1.15639e-06 6.06746e-07 5.30062e-07 1.58095e-07 7.45369e-10 -1.35426e-09 -3.56872e-10 1.01840e-09 1.30941e-09 -5.61482e-10 -5.54851e-10 -5.70315e-10 4.28886e-11 -2.67091e-10
# precision: tgt 5.00e-03 max 3.17e-03 (63.5%) avg 2.90e-04 (5.8%)
-2.69996e-02 -2.33180e-04 2.26204e-04 6.31671e-05 -5.60686e-07 7.99199e-07 6.47001e-07 -5.60757e-07 1.01808e-06 4.82434e-07 -5.07367e-10 7.57716e-10 7.96764e-10 -7.94514e-10 -1.44543e-09 1.31318e-10 4.62920e-10 8.72956e-10 -5.37053e-10 -6.53619e-10
# precision: tgt 5.00e-03 max 2.06e-03 (41.2%) avg 2.75e-04 (5.5%)
5.00286e+00 -5.32797e-05 1.48726e-04 -1.93577e-04 7.20817e-07 7.01231e-07 -6.18924e-07 4.56496e-07 4.29705e-07 -7.88688e-07 -4.46625e-11 7.87605e-10 -1.19016e-09 -8.38556e-10 4.46202e-11 1.07726e-09 3.83848e-10 -5.83670e-10 -1.25680e-09 -2.69492e-10

#tof5k_z15_q3
2 15 2 20
# precision: tgt 5.00e-03 max 2.73e-03 (54.6%) avg 2.84e-04 (5.7%)
2.54235e-02 2.63273e-04 2.24176e-04 2.05197e-05 7.43459e-07 9.48500e-07 1.25055e-06 4.61961e-07 -5.69883e-07 -6.83693e-07 8.21528e-10 1.14232e-09 -2.18225e-10 7.79803e-10 -1.18169e-09 -6.77886e-10 4.21534e-10 -5.17071e-10 7.82989e-11 1.07844e-09
# precision: tgt 5.00e-03 max 3.15e-03 (63.1%) avg 4.53e-04 (9.1%)
5.92542e-03 1.55053e-04 9.80892e-05 1.35585e-04 4.69460e-07 4.32394e-07 -3.89662e-07 4.47228e-07 1.62358e-06 -7.60843e-07 4.89090e-10 4.27436e-10 -5.47406e-10 4.86301e-10 -8.53197e-10 -1.64385e-10 7.15822e-10 2.62181e-10 -1.25054e-09 9.34364e-10
# precision: tgt 5.00e-03 max 2.38e-03 (47.6%) avg 2.99e-04 (6.0%)
5.01776e+00 2.96867e-05 1.74356e-04 -1.55644e-04 8.47841e-07 -1.64478e-07 -7.64135e-07 1.16630e-06 -1.17857e-06 -1.35103e-06 1.13907e-10 -1.89855e-10 -8.16637e-10 1.16677e-10 2.97558e-10 1.95472e-09 3.56721e-10 -1.77543e-09 1.97702e-09 1.41246e-09

#tof5k_z15_q4
2 15 3 20
# precision: tgt 5.00e-03 max 2.29e-03 (45.8%) avg 4.38e-04 (8.8%)
8.50312e-03 5.29610e-05 -1.00015e-04 -1.91888e-04 -2.05104e-07 1.60837e-07 1.33529e-06 -3.70585e-07 4.38416e-07 1.25317e-06 2.77417e-10 1.35126e-10 3.47113e-10 3.39358e-10 -9.63325e-10 -6.40338e-10 -4.50959e-10 4.80118e-10 4.46234e-11 -1.80797e-09
# precision: tgt 5.00e-03 max 3.41e-03 (68.3%) avg 3.46e-04 (6.9%)
-7.13562e-03 -1.14062e-04 1.35695e-04 3.18015e-04 2.30199e-07 -7.85262e-07 1.83691e-07 7.18212e-07 2.03476e-06 -1.29960e-06 -1.09562e-10 6.71988e-10 -3.20056e-10 -1.48358e-09 2.35899e-10 1.07589e-10 1.01710e-09 7.97058e-10 -1.38972e-09 1.68611e-09
# precision: tgt 5.00e-03 max 2.00e-03 (40.1%) avg 3.11e-04 (6.2%)
5.02212e+00 -4.05173e-05 1.66611e-04 -2.21890e-04 8.07575e-07 1.41395e-07 7.58789e-07 1.19008e-06 -1.00631e-06 -9.16020e-07 -1.45636e-11 -2.50548e-10 -7.19581e-10 1.76874e-11 1.96606e-10 -1.59986e-09 2.95035e-10 -2.17534e-09 9.27333e-10 2.18958e-10

#tof5k_z16_q1
2 16 0 20
# precision: tgt 5.00e-03 max 5.72e-03 (114.4%) avg 6.00e-04 (12.0%)
-7.91482e-02 5.72344e-04 7.10564e-04 -7.41237e-05 -1.87647e-06 -2.96878e-06 1.90296e-06 -1.49741e-06 -1.39407e-06 1.20856e-06 1.62348e-09 3.18792e-09 1.33163e-09 2.59853e-09 3.47613e-09 -3.50522e-09 1.04105e-09 1.71970e-09 -9.17572e-11 -1.29346e-09
# precision: tgt 5.00e-03 max 5.00e-03 (100.0%) avg 6.25e-04 (12.5%)
-9.60995e-02 6.09566e-04 4.92757e-04 3.71392e-04 -1.39748e-06 -2.21747e-06 -1.38109e-06 -1.46850e-06 1.21928e-06 -2.20097e-07 1.07248e-09 1.93500e-09 1.88151e-09 1.80909e-09 3.62288e-09 -2.58965e-10 1.16246e-09 1.98090e-09 -2.48684e-09 2.83178e-10
# precision: tgt 5.00e-03 max 2.05e-03 (40.9%) avg 3.51e-04 (7.0%)
5.17109e+00 -3.79811e-04 -3.22178e-04 -1.56429e-03 9.05601e-07 -8.67708e-07 4.01132e-06 8.91307e-07 3.85674e-06 1.96889e-06 2.61494e-10 1.03733e-09 -2.40792e-09 9.53687e-10 1.62467e-10 -7.29532e-09 2.70493e-10 -2.09824e-09 -7.45383e-09 -2.05656e-10

#tof5k_z16_q2
2 16 1 20
# precision: tgt 5.00e-03 max 6.00e-03 (119.9%) avg 6.04e-04 (12.1%)
4.38307e-02 6.09780e-04 -6.80162e-04 4.01604e-04 1.68053e-06 -2.61243e-06 1.14198e-06 1.31350e-06 1.67213e-06 -2.70576e-06 1.52067e-09 -2.79690e-09 -1.14220e-09 2.19054e-09 3.36242e-09 -2.07881e-09 -9.06293e-10 -1.70146e-09 -4.48207e-10 3.52444e-09
# precision: tgt 5.00e-03 max 5.06e-03 (101.2%) avg 6.02e-04 (12.0%)
-9.01853e-02 -6.11791e-04 5.14111e-04 2.90127e-04 -1.30521e-06 2.07448e-06 1.59399e-06 -1.45629e-06 9.77864e-07 2.15185e-07 -1.01224e-09 1.73938e-09 1.84116e-09 -1.77741e-09 -3.54172e-09 -1.13909e-10 1.17559e-09 1.95911e-09 -2.03697e-09 -3.95292e-10
# precision: tgt 5.00e-03 max 1.93e-03 (38.5%) avg 3.54e-04 (7.1%)
5.15053e+00 3.77140e-04 -3.01458e-04 -1.34489e-03 8.97144e-07 9.59118e-07 -4.10492e-06 7.75272e-07 3.92327e-06 1.09865e-06 -2.33928e-10 1.27783e-09 -2.68407e-09 -1.20536e-09 3.23197e-10 7.12603e-09 4.30243e-10 -2.23106e-09 -7.31717e-09 7.89433e-10

#tof5k_z16_q3
2 16 2 20
# precision: tgt 5.00e-03 max 5.22e-03 (104.4%) avg 6.42e-04 (12.8%)
2.18697e-02 6.03941e-04 6.16750e-04 5.89838e-04 1.60075e-06 2.43966e-06 1.06436e-06 1.21521e-06 -1.37219e-06 -3.23917e-06 1.54139e-09 2.57243e-09 -7.92624e-10 2.00641e-09 -2.99625e-09 -1.66884e-09 9.91888e-10 -1.20373e-09 2.96120e-10 4.05398e-09
# precision: tgt 5.00e-03 max 3.68e-03 (73.5%) avg 6.49e-04 (13.0%)
-5.98986e-02 2.78430e-04 9.57359e-05 9.13532e-04 9.36233e-07 1.04245e-06 -5.06909e-07 1.03868e-06 2.76023e-06 -3.40386e-06 8.99512e-10 1.03181e-09 -1.23387e-09 1.23748e-09 -1.67708e-09 -7.47853e-10 1.65144e-09 4.44589e-10 -3.92595e-09 3.44746e-09
# precision: tgt 5.00e-03 max 2.29e-03 (45.8%) avg 3.37e-04 (6.7%)
5.07654e+00 2.27145e-04 4.26446e-04 -6.51967e-04 9.23274e-07 -6.63548e-07 -2.82931e-06 1.55876e-06 -3.18280e-06 -7.39258e-07 -2.89099e-11 -8.15793e-10 -2.03024e-09 -2.38666e-10 5.48294e-10 5.47661e-09 4.44794e-10 -3.52783e-09 4.93193e-09 2.34777e-09

#tof5k_z16_q4
2 16 3 20
# precision: tgt 5.00e-03 max 4.28e-03 (85.5%) avg 6.83e-04 (13.7%)
-1.51923e-02 4.39890e-04 -5.13982e-04 -5.08644e-04 -1.14859e-06 1.64236e-06 8.81259e-07 -1.05247e-06 1.54623e-06 3.11580e-06 1.03533e-09 -1.27963e-09 1.20341e-09 1.47209e-09 -2.98495e-09 -1.39840e-09 -9.71399e-10 1.10643e-09 -6.96464e-10 -4.14268e-09
# precision: tgt 5.00e-03 max 5.71e-03 (114.2%) avg 5.53e-04 (11.1%)
1.23740e-02 -4.39594e-04 3.21788e-04 4.43396e-04 9.88816e-07 -1.93604e-06 8.88204e-07 1.51291e-06 2.53164e-06 -1.95975e-06 -7.17642e-10 1.73057e-09 -1.22737e-09 -2.60770e-09 1.70570e-09 6.58051e-11 1.92662e-09 4.90573e-10 -3.45478e-09 2.03683e-09
# precision: tgt 5.00e-03 max 2.56e-03 (51.2%) avg 3.48e-04 (7.0%)
5.09418e+00 -2.32985e-04 3.98800e-04 -8.43816e-04 7.88199e-07 7.71071e-07 3.01402e-06 1.51392e-06 -3.06229e-06 -8.14770e-08 1.78091e-10 -9.33850e-10 -1.69330e-09 3.49842e-10 -6.54961e-10 -5.98550e-09 3.78974e-10 -3.55128e-09 4.69088e-09 1.59982e-09

#tof5k_z17_q1
2 17 0 20
# precision: tgt 5.00e-03 max 1.07e-02 (213.7%) avg 1.12e-03 (22.5%)
5.58622e-01 1.49383e-03 1.63457e-03 -7.11783e-03 -3.98700e-06 -5.90300e-06 2.69804e-07 -3.10569e-06 -3.63957e-06 2.44867e-05 3.38042e-09 5.69368e-09 3.35979e-09 4.51587e-09 7.75687e-09 -3.73372e-09 2.07665e-09 3.91585e-09 5.15972e-10 -2.56015e-08
# precision: tgt 5.00e-03 max 1.04e-02 (207.1%) avg 1.17e-03 (23.3%)
-2.50439e-02 1.39378e-03 1.08632e-03 -1.11344e-03 -2.95905e-06 -4.82737e-06 -3.09086e-06 -3.43048e-06 1.22201e-06 5.24815e-06 2.18880e-09 3.85835e-09 3.79772e-09 4.12499e-09 7.19314e-09 -1.05058e-11 2.99669e-09 3.58050e-09 -4.85405e-09 -5.26697e-09
# precision: tgt 5.00e-03 max 3.44e-03 (68.7%) avg 6.36e-04 (12.7%)
5.53029e+00 -1.21027e-03 -1.14822e-03 -4.18813e-03 1.45520e-06 -1.93533e-06 9.78846e-06 1.34685e-06 9.73212e-06 6.85565e-06 5.46035e-10 2.26301e-09 -5.72323e-09 2.22218e-09 1.41152e-10 -1.50015e-08 6.64015e-10 -5.34904e-09 -1.53853e-08 -1.76654e-09

#tof5k_z17_q2
2 17 1 20
# precision: tgt 5.00e-03 max 1.05e-02 (210.6%) avg 1.11e-03 (22.2%)
-7.12367e-02 1.01548e-03 -1.30197e-03 2.05010e-03 3.63868e-06 -5.41879e-06 2.59574e-06 2.87292e-06 2.13793e-06 -7.59409e-06 3.29469e-09 -5.34702e-09 -2.64320e-09 4.11021e-09 7.22227e-09 -6.92272e-09 -2.02299e-09 -3.59780e-09 1.50129e-09 7.07432e-09
# precision: tgt 5.00e-03 max 1.05e-02 (209.9%) avg 1.14e-03 (22.9%)
-1.03220e-01 -1.30158e-03 1.17661e-03 -4.16358e-04 -2.83936e-06 4.66228e-06 2.72921e-06 -3.44686e-06 6.14270e-07 3.24871e-06 -2.21731e-09 3.86332e-09 3.36335e-09 -4.28693e-09 -6.52853e-09 1.59590e-10 3.06494e-09 3.41081e-09 -3.62671e-09 -3.49798e-09
# precision: tgt 5.00e-03 max 3.02e-03 (60.3%) avg 5.96e-04 (11.9%)
5.39822e+00 1.14895e-03 -1.05447e-03 -3.00703e-03 1.56183e-06 1.79858e-06 -9.17260e-06 1.32604e-06 9.02322e-06 3.49188e-06 -3.53534e-10 2.01794e-09 -5.69467e-09 -2.00716e-09 -2.42687e-10 1.40628e-08 7.32625e-10 -5.26699e-09 -1.43316e-08 1.40066e-09

#tof5k_z17_q3
2 17 2 20
# precision: tgt 5.00e-03 max 1.13e-02 (225.6%) avg 1.19e-03 (23.9%)
-9.25465e-03 1.28620e-03 1.40855e-03 1.73812e-03 3.68195e-06 5.53715e-06 1.19728e-06 2.62620e-06 -2.84571e-06 -7.25530e-06 3.26332e-09 5.42517e-09 -2.50928e-09 4.11431e-09 -7.00580e-09 -4.60044e-09 2.02015e-09 -2.59850e-09 2.30675e-10 7.45879e-09
# precision: tgt 5.00e-03 max 7.05e-03 (140.9%) avg 1.18e-03 (23.6%)
6.94693e-02 9.80368e-04 3.73565e-04 2.20845e-04 2.26825e-06 2.94147e-06 -2.41023e-06 2.33883e-06 3.51756e-06 -1.64888e-06 1.87331e-09 2.31895e-09 -3.13621e-09 2.86850e-09 -4.73447e-09 -1.10187e-10 3.21774e-09 2.95100e-11 -6.62689e-09 1.12537e-09
# precision: tgt 5.00e-03 max 3.92e-03 (78.4%) avg 6.02e-04 (12.0%)
5.13392e+00 8.17546e-04 1.06932e-03 -7.15328e-04 1.19848e-06 -1.71572e-06 -7.45940e-06 2.24480e-06 -7.63051e-06 -3.03069e-06 -2.80171e-10 -1.91301e-09 -4.32930e-09 -8.50677e-10 1.42920e-09 1.22842e-08 5.77039e-10 -6.09086e-09 1.12960e-08 7.66496e-09

#tof5k_z17_q4
2 17 3 20
# precision: tgt 5.00e-03 max 1.04e-02 (207.2%) avg 1.23e-03 (24.5%)
-4.31585e-03 1.24807e-03 -1.39109e-03 -1.59459e-03 -3.18457e-06 4.70742e-06 1.36622e-07 -2.53210e-06 3.46263e-06 7.31673e-06 2.81310e-09 -4.07087e-09 2.74932e-09 3.51502e-09 -7.09720e-09 -2.92236e-09 -2.01442e-09 2.74899e-09 -1.05329e-09 -8.03481e-09
# precision: tgt 5.00e-03 max 1.04e-02 (208.3%) avg 1.04e-03 (20.9%)
-1.01772e-02 -1.06901e-03 3.74128e-04 1.00769e-03 2.35954e-06 -3.87972e-06 2.25531e-06 2.80945e-06 4.75293e-06 -3.56615e-06 -1.74006e-09 3.04833e-09 -3.15583e-09 -4.29331e-09 4.79656e-09 3.30317e-10 3.44237e-09 2.77563e-11 -8.51895e-09 2.59517e-09
# precision: tgt 5.00e-03 max 3.86e-03 (77.2%) avg 6.51e-04 (13.0%)
5.18221e+00 -9.00815e-04 1.19591e-03 -1.06583e-03 1.19658e-06 1.63284e-06 7.86044e-06 2.35503e-06 -8.18686e-06 -2.13236e-06 3.78038e-10 -1.81768e-09 -4.18782e-09 6.55886e-10 -1.59919e-09 -1.30417e-08 6.52294e-10 -6.14288e-09 1.21464e-08 6.93989e-09

#tof5k_z18_q1
2 18 0 20
# precision: tgt 5.00e-03 max 2.24e-02 (448.4%) avg 2.38e-03 (47.6%)
2.27562e-01 2.57512e-03 3.64544e-03 -5.34486e-03 -8.40725e-06 -1.25132e-05 2.58454e-06 -6.69557e-06 -7.51059e-06 1.81846e-05 7.06679e-09 1.11301e-08 6.90390e-09 8.90178e-09 1.61617e-08 -1.19473e-08 4.32338e-09 8.14221e-09 7.55397e-10 -1.62467e-08
# precision: tgt 5.00e-03 max 2.22e-02 (444.8%) avg 2.42e-03 (48.4%)
4.89456e-02 3.09657e-03 2.06265e-03 -3.20848e-03 -6.62787e-06 -1.14631e-05 -5.25954e-06 -8.22063e-06 4.25924e-06 1.14070e-05 4.71010e-09 8.84821e-09 7.43760e-09 9.79782e-09 1.47645e-08 -1.45360e-09 7.15619e-09 7.24796e-09 -1.36281e-08 -9.56340e-09
# precision: tgt 5.00e-03 max 5.81e-03 (116.3%) avg 1.11e-03 (22.2%)
5.76069e+00 -3.44747e-03 -3.62781e-03 -3.85765e-03 3.11962e-06 -3.51105e-06 2.21560e-05 3.17476e-06 2.32868e-05 -1.26003e-06 1.15747e-09 4.49965e-09 -1.29364e-08 4.43060e-09 -7.90520e-10 -2.89659e-08 1.24475e-09 -1.29670e-08 -3.07936e-08 1.21187e-08

#tof5k_z18_q2
2 18 1 20
# precision: tgt 5.00e-03 max 2.17e-02 (434.4%) avg 2.31e-03 (46.2%)
2.53874e-02 2.65194e-03 -3.45067e-03 3.14892e-03 8.17229e-06 -1.18986e-05 1.64747e-06 6.52172e-06 6.95025e-06 -1.22207e-05 6.91738e-09 -1.07137e-08 -6.62970e-09 8.39568e-09 1.54354e-08 -1.04325e-08 -4.22748e-09 -8.10956e-09 -1.94917e-10 1.09407e-08
# precision: tgt 5.00e-03 max 2.21e-02 (441.7%) avg 2.40e-03 (48.0%)
1.10729e-01 -2.71139e-03 1.86576e-03 -3.36631e-03 -6.16266e-06 1.05854e-05 4.17285e-06 -7.91667e-06 4.49256e-06 1.14118e-05 -4.55798e-09 8.28829e-09 6.67723e-09 -9.47366e-09 -1.33035e-08 2.02910e-09 6.98289e-09 6.87206e-09 -1.32080e-08 -9.53119e-09
# precision: tgt 5.00e-03 max 5.85e-03 (117.0%) avg 1.12e-03 (22.4%)
6.12088e+00 3.42194e-03 -3.69018e-03 -6.66144e-03 3.06266e-06 3.25967e-06 -2.17592e-05 3.16887e-06 2.33464e-05 6.23456e-06 -9.34548e-10 3.92620e-09 -1.21642e-08 -3.93805e-09 2.49875e-10 2.87953e-08 1.18877e-09 -1.25066e-08 -3.11612e-08 5.50660e-09

#tof5k_z18_q3
2 18 2 20
# precision: tgt 5.00e-03 max 2.32e-02 (464.8%) avg 2.52e-03 (50.3%)
2.36998e-01 3.01289e-03 3.38871e-03 1.66146e-03 8.52979e-06 1.27022e-05 7.43042e-07 5.83838e-06 -6.59580e-06 -8.29806e-06 6.76191e-09 1.12513e-08 -7.19393e-09 8.17348e-09 -1.65729e-08 -9.68933e-09 3.95043e-09 -6.33059e-09 3.69716e-10 7.43506e-09
# precision: tgt 5.00e-03 max 1.61e-02 (321.9%) avg 2.25e-03 (45.0%)
-1.66497e-01 2.69181e-03 1.18182e-03 3.57688e-03 5.40206e-06 7.23079e-06 -6.66717e-06 5.28683e-06 4.11651e-06 -1.25462e-05 4.03952e-09 5.23692e-09 -7.16663e-09 6.24927e-09 -1.08135e-08 1.63516e-09 6.32982e-09 -1.60478e-09 -1.04332e-08 1.12828e-08
# precision: tgt 5.00e-03 max 6.38e-03 (127.5%) avg 1.17e-03 (23.5%)
5.95943e+00 2.81938e-03 3.01350e-03 -5.90142e-03 1.98459e-06 -3.77552e-06 -1.96551e-05 3.77598e-06 -1.86486e-05 5.53544e-06 -1.20651e-09 -4.34588e-09 -9.67728e-09 -2.18744e-09 2.65029e-09 2.75184e-08 5.98360e-10 -1.13433e-08 2.48807e-08 5.19263e-09

#tof5k_z18_q4
2 18 3 20
# precision: tgt 5.00e-03 max 2.22e-02 (443.3%) avg 2.39e-03 (47.7%)
-1.03834e-01 2.74079e-03 -3.24406e-03 -2.50410e-03 -7.85144e-06 1.14985e-05 6.33818e-07 -5.58186e-06 6.87990e-06 1.06319e-05 6.28369e-09 -9.37639e-09 7.30633e-09 7.18629e-09 -1.67607e-08 -9.46370e-09 -3.89990e-09 6.36281e-09 -6.82345e-10 -9.60133e-09
# precision: tgt 5.00e-03 max 1.98e-02 (396.8%) avg 2.12e-03 (42.4%)
-3.04057e-01 -2.52499e-03 1.07771e-03 4.48703e-03 5.30716e-06 -7.92327e-06 5.48649e-06 5.65305e-06 5.49205e-06 -1.41108e-05 -3.78399e-09 5.80237e-09 -6.97717e-09 -7.57753e-09 1.04963e-08 -2.83474e-10 6.53688e-09 -1.41230e-09 -1.20432e-08 1.19969e-08
# precision: tgt 5.00e-03 max 6.43e-03 (128.5%) avg 1.17e-03 (23.4%)
5.71697e+00 -2.73111e-03 2.90183e-03 -4.11099e-03 1.91722e-06 4.05775e-06 1.94532e-05 3.69877e-06 -1.83136e-05 1.01008e-06 1.24201e-09 -4.38569e-09 -9.36438e-09 2.14438e-09 -3.46834e-09 -2.77624e-08 6.43831e-10 -1.10260e-08 2.48790e-08 9.15766e-09

#tof5k_z19_q1
2 19 0 20
# precision: tgt 5.00e-03 max 4.09e-02 (817.1%) avg 4.79e-03 (95.8%)
-1.62560e-01 5.98628e-03 7.94979e-03 -5.82770e-03 -1.87768e-05 -2.58269e-05 1.58404e-06 -1.44072e-05 -1.53949e-05 2.13951e-05 1.45668e-08 2.14524e-08 1.69996e-08 1.69066e-08 3.24732e-08 -2.01293e-08 8.75208e-09 1.73454e-08 1.48072e-09 -1.74798e-08
# precision: tgt 5.00e-03 max 4.29e-02 (858.1%) avg 5.03e-03 (100.7%)
4.67163e-01 8.52167e-03 6.42265e-03 -1.07723e-02 -1.34502e-05 -2.32912e-05 -2.04126e-05 -1.81645e-05 -2.73067e-06 3.56651e-05 9.19396e-09 1.66854e-08 1.45611e-08 1.93742e-08 2.86092e-08 9.91462e-09 1.49053e-08 1.64533e-08 -1.34210e-08 -3.15182e-08
# precision: tgt 5.00e-03 max 1.33e-02 (265.7%) avg 2.46e-03 (49.2%)
8.71286e+00 -8.75558e-03 -8.94618e-03 -2.10374e-02 4.30546e-06 -1.08509e-05 5.18098e-05 4.71977e-06 5.27061e-05 2.68353e-05 3.99449e-09 9.98961e-09 -2.27985e-08 1.00990e-08 6.46376e-09 -6.40927e-08 3.91951e-09 -2.35914e-08 -6.52858e-08 1.40470e-09

#tof5k_z19_q2
2 19 1 20
# precision: tgt 5.00e-03 max 4.17e-02 (833.1%) avg 4.72e-03 (94.4%)
-3.28380e-01 6.96583e-03 -8.98938e-03 1.03085e-02 1.85080e-05 -2.51028e-05 -3.67869e-06 1.38705e-05 2.12117e-05 -3.47732e-05 1.43252e-08 -2.06765e-08 -1.69867e-08 1.59689e-08 3.23144e-08 -1.38307e-08 -8.55010e-09 -1.68081e-08 -8.74069e-09 3.03020e-08
# precision: tgt 5.00e-03 max 4.34e-02 (868.0%) avg 4.98e-03 (99.6%)
1.04806e+00 -7.69092e-03 5.39554e-03 -1.38388e-02 -1.34518e-05 2.35929e-05 1.62713e-05 -1.82248e-05 2.34715e-06 4.02739e-05 -8.99277e-09 1.60551e-08 1.50823e-08 -1.90991e-08 -3.01134e-08 -4.41428e-09 1.47366e-08 1.69826e-08 -1.99469e-08 -3.29023e-08
# precision: tgt 5.00e-03 max 1.24e-02 (247.8%) avg 2.46e-03 (49.3%)
7.45657e+00 8.63640e-03 -9.10745e-03 -1.20843e-02 4.08914e-06 1.08711e-05 -5.12520e-05 4.59229e-06 5.34160e-05 5.68988e-06 -3.87268e-09 9.47582e-09 -2.17704e-08 -9.64268e-09 -7.67341e-09 6.40903e-08 3.95247e-09 -2.29339e-08 -6.66720e-08 1.81955e-08

#tof5k_z19_q3
2 19 2 20
# precision: tgt 5.00e-03 max 4.83e-02 (966.0%) avg 5.03e-03 (100.6%)
-1.21450e-01 8.38521e-03 9.61262e-03 9.83317e-03 2.05144e-05 2.83231e-05 -6.87299e-06 1.29789e-05 -2.31179e-05 -3.46678e-05 1.46392e-08 2.33358e-08 -1.96597e-08 1.64052e-08 -3.62718e-08 -1.18470e-08 7.91914e-09 -1.45744e-08 1.12649e-08 3.07127e-08
# precision: tgt 5.00e-03 max 3.38e-02 (675.1%) avg 4.54e-03 (90.8%)
3.48511e-01 7.37997e-03 4.38794e-03 3.39909e-03 1.30757e-05 1.89958e-05 -1.74114e-05 1.38938e-05 1.53700e-06 -1.57017e-05 8.69646e-09 1.17900e-08 -1.68428e-08 1.38095e-08 -2.78370e-08 5.47653e-09 1.27505e-08 -1.04790e-08 -1.63068e-08 1.37318e-08
# precision: tgt 5.00e-03 max 1.46e-02 (291.6%) avg 2.49e-03 (49.9%)
7.93117e+00 8.02003e-03 7.77310e-03 -1.60865e-02 2.01590e-06 -1.19321e-05 -5.02483e-05 4.36123e-06 -4.65961e-05 1.64362e-05 -4.82548e-09 -1.12313e-08 -1.85591e-08 -7.38346e-09 1.09787e-08 6.44279e-08 -1.51607e-09 -1.85139e-08 5.94599e-08 8.89722e-09

#tof5k_z19_q4
2 19 3 20
# precision: tgt 5.00e-03 max 4.62e-02 (924.9%) avg 4.77e-03 (95.4%)
-7.08945e-01 8.37300e-03 -9.46165e-03 -3.84702e-03 -1.95474e-05 2.67644e-05 -8.66273e-06 -1.26561e-05 2.36624e-05 2.10529e-05 1.38660e-08 -2.08235e-08 1.98210e-08 1.47013e-08 -3.69501e-08 -9.75728e-09 -7.63357e-09 1.51483e-08 -1.15728e-08 -2.04062e-08
# precision: tgt 5.00e-03 max 3.60e-02 (719.3%) avg 4.34e-03 (86.8%)
2.13306e-02 -7.81221e-03 4.64482e-03 6.07875e-03 1.25811e-05 -1.85516e-05 2.02068e-05 1.37287e-05 -9.14374e-08 -2.31584e-05 -8.09581e-09 1.13860e-08 -1.67336e-08 -1.40608e-08 2.68611e-08 -9.19672e-09 1.26916e-08 -9.95177e-09 -1.37616e-08 2.07024e-08
# precision: tgt 5.00e-03 max 1.49e-02 (297.8%) avg 2.47e-03 (49.4%)
7.90739e+00 -7.61963e-03 7.54823e-03 -1.61778e-02 1.69541e-06 1.28758e-05 4.91035e-05 4.02103e-06 -4.62680e-05 1.69376e-05 4.83756e-09 -1.15571e-08 -1.77582e-08 7.47962e-09 -1.29299e-08 -6.39926e-08 -1.37961e-09 -1.75132e-08 6.00048e-08 8.53432e-09

#tof5k_z2_q1
2 2 0 20
# precision: tgt 5.00e-03 max 3.34e-02 (669.0%) avg 3.90e-03 (78.1%)
4.65606e-01 -5.08763e-03 -6.23547e-03 -2.33117e-03 1.29714e-05 1.65284e-05 -3.11425e-06 8.44771e-06 -1.70739e-05 -1.37567e-05 -1.02319e-08 -1.32225e-08 1.26785e-08 -8.03417e-09 2.55124e-08 1.10814e-08 -5.49944e-09 1.15282e-08 -8.43206e-09 -1.33255e-08
# precision: tgt 5.00e-03 max 2.93e-02 (586.1%) avg 3.68e-03 (73.5%)
3.30500e-01 -6.80215e-03 -6.15838e-03 -3.70130e-03 9.92155e-06 1.56261e-05 -1.84543e-05 1.35567e-05 -8.82920e-06 -1.84114e-05 -6.48534e-09 -1.00303e-08 1.22861e-08 -1.29974e-08 2.09709e-08 -1.08237e-08 -1.01483e-08 1.44097e-08 2.75221e-09 -1.88877e-08
# precision: tgt 5.00e-03 max 1.19e-02 (237.8%) avg 1.95e-03 (39.1%)
6.45718e+00 -5.63886e-03 -4.95390e-03 8.20790e-03 2.32480e-06 -1.18816e-05 -3.66870e-05 -1.62753e-07 -3.65231e-05 4.05114e-06 3.96831e-09 8.99900e-09 1.60184e-08 8.53659e-09 -1.26379e-08 -4.82381e-08 4.48646e-09 1.01789e-08 -5.17915e-08 -1.45613e-08

#tof5k_z2_q2
2 2 1 20
# precision: tgt 5.00e-03 max 3.57e-02 (713.3%) avg 3.94e-03 (78.8%)
-5.11683e-01 -4.57884e-03 6.33968e-03 1.67236e-03 -1.33188e-05 1.76403e-05 -6.50058e-07 -9.27661e-06 1.61373e-05 1.14381e-05 -1.20787e-08 1.56301e-08 -9.38940e-09 -1.00398e-08 2.40515e-08 1.17366e-08 6.12310e-09 -1.14092e-08 7.42257e-09 1.11953e-08
# precision: tgt 5.00e-03 max 2.91e-02 (582.0%) avg 3.73e-03 (74.6%)
1.05177e+00 6.00197e-03 -5.05254e-03 2.25506e-03 9.78575e-06 -1.64365e-05 1.45903e-05 1.38265e-05 -3.10242e-06 -2.13214e-06 7.16456e-09 -1.13885e-08 1.05250e-08 1.44213e-08 -2.00464e-08 7.19447e-09 -1.08400e-08 1.35101e-08 8.99465e-09 -4.41288e-09
# precision: tgt 5.00e-03 max 1.25e-02 (250.1%) avg 2.02e-03 (40.3%)
6.82613e+00 4.84442e-03 -4.58133e-03 1.10590e-02 1.21780e-06 1.25285e-05 3.49120e-05 -6.14908e-07 -3.53483e-05 1.11894e-05 -3.58216e-09 9.32711e-09 1.39610e-08 -8.32996e-09 1.36025e-08 4.71108e-08 4.60749e-09 9.41921e-09 -5.07904e-08 -8.62289e-09

#tof5k_z2_q3
2 2 2 20
# precision: tgt 5.00e-03 max 3.82e-02 (764.9%) avg 4.80e-03 (96.1%)
1.00179e+00 -3.41650e-03 -4.95805e-03 1.14510e-02 -1.47899e-05 -2.03992e-05 8.70114e-06 -1.15789e-05 -5.01581e-06 3.00909e-05 -1.40259e-08 -1.99851e-08 -7.62492e-09 -1.53031e-08 -2.08757e-08 2.27393e-08 -8.81886e-09 -1.02086e-08 5.89586e-09 2.19895e-08
# precision: tgt 5.00e-03 max 3.96e-02 (792.1%) avg 4.45e-03 (89.1%)
1.10457e+00 -6.13060e-03 -3.31792e-03 1.32104e-02 -1.09609e-05 -2.02174e-05 -1.14076e-05 -1.29632e-05 8.13646e-06 3.64844e-05 -8.11812e-09 -1.28500e-08 -1.15948e-08 -1.79097e-08 -2.49488e-08 1.98787e-10 -1.36652e-08 -4.34876e-09 2.27107e-08 2.79735e-08
# precision: tgt 5.00e-03 max 1.64e-02 (329.0%) avg 2.62e-03 (52.5%)
7.61513e+00 9.05527e-03 9.20740e-03 1.28736e-02 6.22631e-06 -3.22085e-06 4.75159e-05 8.88609e-06 4.49165e-05 9.52727e-06 -1.67298e-09 -5.26624e-09 2.20486e-08 -3.20753e-09 1.71212e-09 5.57023e-08 3.81531e-10 2.52432e-08 5.00899e-08 -1.27190e-08

#tof5k_z2_q4
2 2 3 20
# precision: tgt 5.00e-03 max 3.87e-02 (774.0%) avg 4.72e-03 (94.5%)
-1.46907e+00 -4.12014e-03 5.28667e-03 -1.54249e-02 1.53646e-05 -2.04338e-05 6.69049e-06 1.08628e-05 7.30575e-06 -4.05581e-05 -1.35565e-08 2.07905e-08 9.61523e-09 -1.53292e-08 -1.99662e-08 2.14268e-08 8.60648e-09 8.87484e-09 -2.09272e-09 -3.11565e-08
# precision: tgt 5.00e-03 max 3.53e-02 (705.2%) avg 4.53e-03 (90.7%)
1.23840e+00 6.23734e-03 -3.67844e-03 1.41979e-02 -1.17285e-05 1.94868e-05 1.14242e-05 -1.33959e-05 6.63906e-06 3.89468e-05 8.18262e-09 -1.13837e-08 -1.40650e-08 1.61433e-08 2.67135e-08 -1.91808e-09 -1.33323e-08 -6.80456e-09 2.26920e-08 2.95847e-08
# precision: tgt 5.00e-03 max 1.55e-02 (309.3%) avg 2.65e-03 (53.0%)
7.80934e+00 -1.01138e-02 9.65583e-03 1.38010e-02 7.59446e-06 2.33429e-06 -5.03033e-05 9.51496e-06 4.63029e-05 1.08104e-05 2.00947e-09 -5.07389e-09 2.48047e-08 3.17802e-09 -3.30330e-09 -5.75673e-08 5.96085e-10 2.62474e-08 5.11798e-08 -1.23665e-08

#tof5k_z20_q1
2 20 0 20
# precision: tgt 5.00e-03 max 7.83e-02 (1565.9%) avg 9.45e-03 (189.0%)
-1.67324e+00 2.35766e-02 2.57364e-02 -9.87568e-03 -3.95438e-05 -4.40177e-05 -5.18992e-05 -2.30958e-05 -8.02883e-05 5.48172e-05 2.68879e-08 3.30788e-08 4.30278e-08 2.41740e-08 5.94283e-08 2.11158e-08 1.40615e-08 2.78397e-08 6.24481e-08 -5.61581e-08
# precision: tgt 5.00e-03 max 7.01e-02 (1401.4%) avg 9.76e-03 (195.3%)
-3.29758e+00 2.29820e-02 2.54565e-02 1.29497e-03 -2.46267e-05 -4.04834e-05 -6.87113e-05 -4.03447e-05 -6.20047e-05 3.05694e-05 1.58184e-08 2.74675e-08 2.69959e-08 3.16933e-08 4.91997e-08 5.31653e-08 2.62426e-08 4.63097e-08 3.44103e-08 -4.00280e-08
# precision: tgt 5.00e-03 max 5.35e-02 (1070.1%) avg 6.02e-03 (120.3%)
3.46419e+01 -9.45594e-04 -8.38700e-04 -1.90358e-01 -1.10434e-05 -5.31729e-05 4.83859e-05 -1.69664e-05 5.39062e-05 3.80850e-04 1.72510e-08 3.05622e-08 -1.45592e-08 3.02073e-08 6.64787e-08 -7.83442e-08 1.71612e-08 -1.31811e-09 -9.11665e-08 -2.37494e-07

#tof5k_z20_q2
2 20 1 20
# precision: tgt 5.00e-03 max 7.63e-02 (1525.4%) avg 9.37e-03 (187.4%)
2.26836e-01 2.16001e-02 -2.45362e-02 1.74937e-02 3.86667e-05 -4.26959e-05 -4.49324e-05 2.26770e-05 7.61107e-05 -6.81436e-05 2.65772e-08 -3.20776e-08 -4.18281e-08 2.26645e-08 5.85347e-08 1.46701e-08 -1.33470e-08 -2.84510e-08 -5.81017e-08 6.37818e-08
# precision: tgt 5.00e-03 max 6.95e-02 (1390.5%) avg 9.56e-03 (191.2%)
-2.51863e+00 -2.12077e-02 2.39243e-02 -2.06027e-03 -2.34740e-05 3.85815e-05 6.28966e-05 -3.97088e-05 -5.68412e-05 3.48649e-05 -1.49006e-08 2.48863e-08 2.68170e-08 -2.99168e-08 -4.89589e-08 -4.70954e-08 2.57757e-08 4.64060e-08 2.89980e-08 -4.10858e-08
# precision: tgt 5.00e-03 max 5.30e-02 (1060.1%) avg 5.86e-03 (117.1%)
3.59444e+01 -3.57597e-04 8.03451e-04 -1.99759e-01 -1.07620e-05 5.23439e-05 -4.18799e-05 -1.67497e-05 4.59995e-05 4.03736e-04 -1.69818e-08 2.95127e-08 -1.40890e-08 -2.91581e-08 -6.70005e-08 7.15637e-08 1.69470e-08 -7.42908e-10 -8.29467e-08 -2.55794e-07

#tof5k_z20_q3
2 20 2 20
# precision: tgt 5.00e-03 max 9.26e-02 (1851.6%) avg 1.07e-02 (214.2%)
5.31825e+00 1.05521e-02 1.23685e-02 -2.25677e-02 4.36192e-05 5.02585e-05 1.20330e-05 2.50440e-05 -1.64776e-05 3.76688e-05 3.24987e-08 4.82477e-08 -3.75683e-08 3.51084e-08 -4.94294e-08 -4.47415e-08 1.73362e-08 -2.19042e-08 -3.10885e-09 -2.59801e-08
# precision: tgt 5.00e-03 max 8.25e-02 (1649.5%) avg 9.61e-03 (192.3%)
4.87931e+00 1.45019e-02 7.30769e-03 -2.01823e-02 2.90357e-05 4.74580e-05 -2.31205e-05 3.42415e-05 1.83281e-05 3.33596e-05 1.77652e-08 2.42439e-08 -3.62921e-08 3.00653e-08 -6.89975e-08 -7.66825e-09 2.73811e-08 -3.06969e-08 -5.50113e-08 -2.64882e-08
# precision: tgt 5.00e-03 max 5.10e-02 (1020.4%) avg 6.25e-03 (124.9%)
6.22246e+01 2.31959e-02 2.13738e-02 -3.45577e-01 3.38944e-06 -2.46971e-05 -1.21500e-04 1.03135e-05 -1.06614e-04 6.75659e-04 -1.62284e-08 -2.85355e-08 -4.32888e-08 -2.24209e-08 1.30008e-08 1.34521e-07 -1.02341e-08 -4.86472e-08 1.14491e-07 -4.27415e-07

#tof5k_z20_q4
2 20 3 20
# precision: tgt 5.00e-03 max 9.16e-02 (1831.5%) avg 1.04e-02 (208.2%)
-5.16742e+00 1.17482e-02 -1.46837e-02 1.99076e-02 -4.33914e-05 5.00074e-05 6.60558e-06 -2.52364e-05 2.64037e-05 -2.83312e-05 3.11884e-08 -4.44531e-08 4.06330e-08 3.18788e-08 -5.55296e-08 -4.15973e-08 -1.65408e-08 2.49937e-08 -4.71381e-09 1.75184e-08
# precision: tgt 5.00e-03 max 8.10e-02 (1619.1%) avg 9.51e-03 (190.2%)
-8.29203e-01 -1.42712e-02 5.16382e-03 1.48863e-02 2.96649e-05 -4.90022e-05 2.10257e-05 3.47794e-05 2.84604e-05 -3.79040e-05 -1.74089e-08 2.51796e-08 -3.76653e-08 -3.16083e-08 6.99583e-08 1.04972e-08 2.75977e-08 -3.07080e-08 -6.57205e-08 2.16776e-08
# precision: tgt 5.00e-03 max 5.12e-02 (1023.5%) avg 6.24e-03 (124.9%)
6.21502e+01 -2.32711e-02 2.10592e-02 -3.45230e-01 3.32223e-06 2.46160e-05 1.21852e-04 1.11799e-05 -1.04555e-04 6.75276e-04 1.61054e-08 -2.89391e-08 -4.29667e-08 2.25171e-08 -1.24840e-08 -1.34969e-07 -9.90205e-09 -5.00691e-08 1.11640e-07 -4.27471e-07

#tof5k_z21_q1
2 21 0 20
# precision: tgt 5.00e-03 max 2.23e-01 (4466.3%) avg 2.11e-02 (421.2%)
-2.72634e+01 8.57777e-02 8.23153e-02 9.39659e-02 -8.72259e-05 -4.96352e-05 -2.61390e-04 -2.35081e-05 -3.03747e-04 -5.99132e-05 2.97650e-08 3.35521e-09 1.48984e-07 -7.93338e-09 1.25545e-07 1.73224e-07 2.32318e-09 5.79426e-08 2.58518e-07 -3.09180e-08
# precision: tgt 5.00e-03 max 1.73e-01 (3456.3%) avg 1.83e-02 (366.7%)
-1.82851e+01 7.55446e-02 8.06105e-02 4.91326e-02 -3.51872e-05 -4.79341e-05 -2.68466e-04 -8.56059e-05 -2.44630e-04 1.22962e-05 1.39642e-08 2.13093e-08 5.30993e-08 1.41502e-08 8.41821e-08 2.36416e-07 2.12958e-08 1.49809e-07 1.69392e-07 -7.27674e-08
# precision: tgt 5.00e-03 max 2.00e-01 (4006.1%) avg 2.18e-02 (436.4%)
3.32394e+01 3.34854e-02 4.44398e-02 -2.04549e-01 -8.85740e-05 -2.26214e-04 4.19376e-05 -1.15038e-04 2.00460e-05 4.00226e-04 7.02993e-08 1.04339e-07 5.24956e-08 9.70851e-08 3.11270e-07 -1.56646e-07 6.97125e-08 1.10208e-07 -1.59844e-07 -2.16624e-07

#tof5k_z21_q2
2 21 1 20
# precision: tgt 5.00e-03 max 2.24e-01 (4488.4%) avg 2.05e-02 (410.4%)
1.49272e+01 8.06922e-02 -7.66412e-02 -2.79085e-02 8.41360e-05 -4.25604e-05 -2.47334e-04 2.03242e-05 2.87386e-04 -5.94679e-05 2.79820e-08 1.35402e-09 -1.46707e-07 -1.25290e-08 1.18798e-07 1.62515e-07 -1.57484e-10 -5.60169e-08 -2.45387e-07 1.03365e-07
# precision: tgt 5.00e-03 max 1.59e-01 (3182.5%) avg 1.79e-02 (357.8%)
-3.09003e+01 -7.37658e-02 8.16594e-02 1.21161e-01 -3.11250e-05 3.94824e-05 2.68033e-04 -7.94520e-05 -2.56752e-04 -1.22126e-04 -1.31677e-08 1.79133e-08 4.72666e-08 -1.06303e-08 -7.29753e-08 -2.40654e-07 1.99552e-08 1.40697e-07 1.87078e-07 9.41861e-09
# precision: tgt 5.00e-03 max 1.93e-01 (3857.8%) avg 2.18e-02 (435.7%)
2.66146e+01 -3.78044e-02 4.69616e-02 -1.69498e-01 -8.57398e-05 2.21417e-04 -2.07235e-05 -1.13873e-04 7.24334e-06 3.40551e-04 -6.82841e-08 1.00430e-07 5.12578e-08 -9.36074e-08 -3.08303e-07 1.34738e-07 6.91185e-08 1.10370e-07 -1.46852e-07 -1.83727e-07

#tof5k_z21_q3
2 21 2 20
# precision: tgt 5.00e-03 max 2.26e-01 (4521.3%) avg 2.76e-02 (551.7%)
1.70546e+01 8.31361e-02 7.68524e-02 -3.51708e-02 1.41647e-04 1.42742e-04 -1.67493e-04 7.26359e-05 -2.03089e-04 -2.10766e-05 8.01292e-08 1.15852e-07 -1.51307e-07 9.80947e-08 -1.35264e-07 7.12277e-08 4.67055e-08 -5.88579e-08 1.50886e-07 5.72876e-08
# precision: tgt 5.00e-03 max 2.21e-01 (4422.5%) avg 2.44e-02 (487.7%)
6.88561e+00 7.44876e-02 5.73917e-02 1.29801e-02 8.88863e-05 1.52271e-04 -1.76801e-04 1.17633e-04 -7.80744e-05 -8.98528e-05 4.29041e-08 7.07440e-08 -1.09706e-07 9.13397e-08 -1.98337e-07 8.95033e-08 7.27083e-08 -1.21007e-07 -2.14050e-08 7.84554e-08
# precision: tgt 5.00e-03 max 2.08e-01 (4161.1%) avg 2.51e-02 (502.4%)
4.55903e+01 8.29938e-02 8.46702e-02 -1.86626e-01 4.44320e-06 -5.67164e-05 -3.71205e-04 3.56446e-05 -3.51992e-04 2.35865e-04 -5.38066e-08 -7.74025e-08 -1.06261e-07 -6.56795e-08 1.04805e-08 3.63129e-07 -3.53146e-08 -1.42882e-07 3.26722e-07 -5.58976e-08

#tof5k_z21_q4
2 21 3 20
# precision: tgt 5.00e-03 max 2.38e-01 (4768.9%) avg 2.74e-02 (548.8%)
-6.40049e+00 7.85934e-02 -7.23884e-02 -2.15065e-02 -1.42156e-04 1.42880e-04 -1.49856e-04 -7.33832e-05 1.85666e-04 1.20900e-04 7.82077e-08 -1.14898e-07 1.55059e-07 9.96721e-08 -1.35301e-07 5.31943e-08 -4.83166e-08 5.78979e-08 -1.34740e-07 -1.15468e-07
# precision: tgt 5.00e-03 max 2.19e-01 (4373.1%) avg 2.41e-02 (482.1%)
1.52365e+01 -7.38743e-02 6.06550e-02 -3.40478e-02 8.69633e-05 -1.51497e-04 1.76505e-04 1.17317e-04 -9.16107e-05 -2.30166e-06 -4.11363e-08 6.75396e-08 -1.09453e-07 -8.89910e-08 2.01347e-07 -8.89911e-08 7.21850e-08 -1.21806e-07 -8.80349e-09 2.41905e-08
# precision: tgt 5.00e-03 max 2.25e-01 (4497.6%) avg 2.51e-02 (501.9%)
4.24159e+01 -8.22837e-02 8.69100e-02 -1.68024e-01 2.90965e-06 5.87344e-05 3.70142e-04 3.69349e-05 -3.60293e-04 1.99296e-04 5.44610e-08 -8.02727e-08 -1.04899e-07 6.77546e-08 -1.07187e-08 -3.62501e-07 -3.59898e-08 -1.46968e-07 3.33150e-07 -3.21089e-08

#tof5k_z3_q1
2 3 0 20
# precision: tgt 5.00e-03 max 1.81e-02 (362.7%) avg 2.01e-03 (40.1%)
-2.88157e-01 -1.94301e-03 -2.30279e-03 -4.78475e-03 5.92931e-06 9.08943e-06 2.83804e-06 4.38794e-06 -4.26830e-06 -1.52007e-05 -5.15596e-09 -8.23019e-09 4.52228e-09 -5.48631e-09 1.29452e-08 1.11861e-08 -3.14357e-09 5.49157e-09 1.29072e-09 -1.28324e-08
# precision: tgt 5.00e-03 max 1.53e-02 (306.8%) avg 1.98e-03 (39.6%)
-2.12284e-02 -2.11083e-03 -1.81396e-03 -2.12006e-03 4.70943e-06 7.29239e-06 -3.63797e-06 6.05408e-06 1.91817e-06 -7.99728e-06 -3.46622e-09 -5.83552e-09 5.30196e-09 -7.20114e-09 8.86836e-09 9.60413e-10 -5.38723e-09 5.16243e-09 8.23285e-09 -7.17765e-09
# precision: tgt 5.00e-03 max 6.03e-03 (120.6%) avg 1.15e-03 (23.1%)
5.59507e+00 -2.73250e-03 -2.32011e-03 3.85371e-03 2.96270e-06 -3.17695e-06 -1.68048e-05 1.63519e-06 -1.69205e-05 1.94347e-06 9.31468e-10 3.27447e-09 1.04279e-08 3.39684e-09 -1.31587e-09 -2.23300e-08 1.19002e-09 7.40710e-09 -2.48148e-08 -7.61493e-09

#tof5k_z3_q2
2 3 1 20
# precision: tgt 5.00e-03 max 1.82e-02 (363.7%) avg 1.85e-03 (37.1%)
-3.57006e-03 -1.80645e-03 2.39705e-03 2.09846e-03 -6.17922e-06 9.32729e-06 2.76135e-06 -4.87848e-06 4.12323e-06 7.78734e-06 -6.49910e-09 9.16915e-09 -2.54869e-09 -6.68184e-09 1.16492e-08 9.22023e-09 3.47071e-09 -5.38637e-09 -1.24744e-09 6.40888e-09
# precision: tgt 5.00e-03 max 1.44e-02 (288.7%) avg 1.94e-03 (38.9%)
-2.96808e-01 2.19372e-03 -1.93044e-03 -4.46042e-03 4.52005e-06 -7.65986e-06 4.37730e-06 5.88915e-06 1.04862e-06 -1.46878e-05 3.76081e-09 -6.27922e-09 4.44049e-09 7.60017e-09 -8.78820e-09 4.47896e-10 -5.59586e-09 4.41638e-09 6.67563e-09 -1.35516e-08
# precision: tgt 5.00e-03 max 5.07e-03 (101.5%) avg 1.12e-03 (22.4%)
5.61393e+00 2.25269e-03 -2.45467e-03 3.81584e-03 1.68428e-06 3.34723e-06 1.63227e-05 1.46607e-06 -1.75862e-05 1.54924e-06 -1.19707e-09 4.01262e-09 9.01272e-09 -3.40672e-09 6.69552e-10 2.20350e-08 1.40650e-09 7.52420e-09 -2.51958e-08 -7.92406e-09

#tof5k_z3_q3
2 3 2 20
# precision: tgt 5.00e-03 max 1.94e-02 (387.1%) avg 2.28e-03 (45.6%)
5.81446e-01 -1.18984e-03 -2.00013e-03 6.44944e-03 -5.98357e-06 -8.69831e-06 6.25287e-06 -5.22398e-06 -1.34432e-06 1.81732e-05 -6.47343e-09 -9.53272e-09 -1.46670e-09 -7.81863e-09 -7.98800e-09 1.30952e-08 -4.04775e-09 -4.48931e-09 4.16516e-09 1.47326e-08
# precision: tgt 5.00e-03 max 1.91e-02 (382.9%) avg 2.06e-03 (41.1%)
-2.21318e-01 -2.12160e-03 -1.26995e-03 4.62689e-04 -4.49679e-06 -8.54435e-06 -3.01931e-06 -5.28628e-06 5.55197e-06 3.02522e-06 -3.63464e-09 -6.13874e-09 -4.79848e-09 -7.92498e-09 -1.09212e-08 3.02488e-09 -6.46706e-09 -2.62939e-10 1.32372e-08 1.30512e-09
# precision: tgt 5.00e-03 max 7.96e-03 (159.3%) avg 1.21e-03 (24.3%)
5.70767e+00 3.33145e-03 3.72956e-03 3.55625e-03 3.06891e-06 -7.77779e-07 2.01232e-05 4.97629e-06 1.94257e-05 -1.00732e-06 -8.19320e-10 -3.36241e-09 1.19048e-08 -1.41027e-09 3.91203e-09 2.51012e-08 7.66627e-10 1.39647e-08 2.23899e-08 -1.12873e-08

#tof5k_z3_q4
2 3 3 20
# precision: tgt 5.00e-03 max 2.04e-02 (408.1%) avg 2.35e-03 (46.9%)
-9.15667e-03 -1.50976e-03 2.10720e-03 -2.40769e-03 6.04534e-06 -8.90916e-06 5.87705e-06 4.49373e-06 2.50353e-06 -7.98066e-06 -5.57844e-09 9.76438e-09 3.09009e-09 -6.83150e-09 -9.06419e-09 1.42353e-08 3.70359e-09 3.82231e-09 -2.55010e-09 -5.87387e-09
# precision: tgt 5.00e-03 max 1.65e-02 (329.3%) avg 2.26e-03 (45.2%)
6.63167e-01 2.01756e-03 -9.40428e-04 7.19857e-03 -5.14563e-06 7.95330e-06 1.90265e-06 -5.41593e-06 7.36012e-06 2.00685e-05 4.02148e-09 -5.09192e-09 -6.30459e-09 6.40280e-09 1.24406e-08 -5.84931e-09 -6.27288e-09 -1.68433e-09 1.69724e-08 1.52312e-08
# precision: tgt 5.00e-03 max 7.72e-03 (154.4%) avg 1.28e-03 (25.7%)
5.84440e+00 -4.04263e-03 3.91091e-03 4.55787e-03 4.64700e-06 2.27356e-08 -2.12254e-05 5.41510e-06 1.98962e-05 1.49747e-06 4.13306e-10 -2.52431e-09 1.38170e-08 1.31959e-09 -4.59679e-09 -2.56059e-08 1.00215e-09 1.44914e-08 2.28951e-08 -9.29620e-09

#tof5k_z4_q1
2 4 0 20
# precision: tgt 5.00e-03 max 9.22e-03 (184.3%) avg 1.11e-03 (22.3%)
-1.35306e+00 4.62516e-05 -8.73924e-04 -1.30746e-02 2.53390e-06 4.45844e-06 7.33942e-06 2.36311e-06 -5.30605e-07 -3.93718e-05 -1.98006e-09 -4.44010e-09 2.05871e-09 -3.25528e-09 5.78980e-09 1.27136e-08 -1.59919e-09 3.24734e-09 3.19475e-09 -3.81057e-08
# precision: tgt 5.00e-03 max 9.34e-03 (186.8%) avg 1.33e-03 (26.5%)
-1.14554e+00 -1.09828e-03 -4.76628e-04 -1.17226e-02 2.41405e-06 4.02268e-06 -2.17614e-06 2.69277e-06 3.74082e-06 -3.76755e-05 -1.99901e-09 -3.45871e-09 2.32171e-09 -3.62309e-09 5.63448e-09 -6.97928e-11 -2.60556e-09 2.02669e-09 7.12612e-09 -3.87961e-08
# precision: tgt 5.00e-03 max 4.96e-03 (99.1%) avg 6.48e-04 (13.0%)
6.58495e-01 -5.85084e-04 -7.48902e-04 -4.11550e-02 9.92709e-07 -1.82561e-06 -5.67061e-06 1.07420e-06 -7.15006e-06 -1.33227e-04 3.96650e-10 1.53648e-09 2.80893e-09 1.76640e-09 -1.45106e-09 -1.03737e-08 3.86670e-10 3.46112e-09 -1.21505e-08 -1.42390e-07

#tof5k_z4_q2
2 4 1 20
# precision: tgt 5.00e-03 max 9.79e-03 (195.8%) avg 9.87e-04 (19.7%)
1.27868e+00 -1.07969e-03 1.23212e-03 1.32921e-02 -3.90056e-06 5.52509e-06 2.40815e-06 -2.94566e-06 1.46360e-06 4.23181e-05 -3.23667e-09 5.08257e-09 -3.61143e-09 -4.39890e-09 7.31037e-09 7.56472e-09 1.93025e-09 -3.47287e-09 -2.41748e-09 4.25164e-08
# precision: tgt 5.00e-03 max 7.70e-03 (154.0%) avg 9.96e-04 (19.9%)
-8.56029e-01 8.38890e-04 -4.23965e-04 -8.80065e-03 2.39712e-06 -3.74432e-06 9.90893e-07 2.58683e-06 3.59050e-06 -2.83072e-05 2.05674e-09 -3.68863e-09 2.40996e-09 3.59233e-09 -4.29710e-09 -1.50428e-09 -2.49736e-09 2.15468e-09 6.68008e-09 -2.90103e-08
# precision: tgt 5.00e-03 max 4.11e-03 (82.2%) avg 5.98e-04 (12.0%)
1.66786e+00 5.82325e-04 -4.67772e-04 -3.14507e-02 1.09368e-06 2.33899e-06 6.56731e-06 7.09839e-07 -6.14855e-06 -1.02580e-04 -7.07693e-10 2.62714e-09 5.68293e-09 -2.40190e-09 6.62377e-10 9.57389e-09 9.93887e-10 4.03060e-09 -1.03187e-08 -1.10197e-07

#tof5k_z4_q3
2 4 2 20
# precision: tgt 5.00e-03 max 1.04e-02 (207.5%) avg 1.09e-03 (21.8%)
1.87378e+00 -7.38722e-04 -1.08187e-03 1.87068e-02 -3.46464e-06 -5.10293e-06 3.80599e-06 -2.54038e-06 -1.15758e-06 5.90188e-05 -3.06585e-09 -4.62884e-09 -2.63599e-09 -4.25049e-09 -6.71829e-09 8.88759e-09 -1.86391e-09 -2.28533e-09 2.01704e-09 5.99074e-08
# precision: tgt 5.00e-03 max 1.09e-02 (218.7%) avg 1.01e-03 (20.1%)
1.17769e+00 -6.32553e-04 1.18902e-04 1.14242e-02 -2.15262e-06 -3.23907e-06 -1.35420e-07 -2.21072e-06 6.68985e-06 3.48458e-05 -1.63509e-09 -3.17570e-09 -2.79007e-09 -3.38256e-09 -3.34660e-09 2.91391e-09 -2.96644e-09 3.85821e-10 1.08608e-08 3.41742e-08
# precision: tgt 5.00e-03 max 4.16e-03 (83.1%) avg 6.06e-04 (12.1%)
1.50075e+00 9.62887e-04 1.05797e-03 -3.35772e-02 9.93804e-07 -1.72224e-06 8.64237e-06 2.19156e-06 7.30472e-06 -1.10440e-04 -5.64715e-10 -2.26073e-09 4.74791e-09 -7.74777e-10 -1.23177e-09 1.32951e-08 4.24739e-10 6.05989e-09 1.05560e-08 -1.19575e-07

#tof5k_z4_q4
2 4 3 20
# precision: tgt 5.00e-03 max 1.18e-02 (236.0%) avg 1.30e-03 (26.1%)
-1.57040e+00 -2.06651e-04 1.00366e-03 -1.55419e-02 3.10866e-06 -5.56352e-06 7.34562e-06 2.48073e-06 2.73902e-07 -4.74154e-05 -2.28978e-09 5.48980e-09 2.34390e-09 -3.84539e-09 -6.90648e-09 1.31967e-08 1.64575e-09 2.86955e-09 -3.76014e-09 -4.65777e-08
# precision: tgt 5.00e-03 max 8.45e-03 (168.9%) avg 1.27e-03 (25.4%)
1.62965e+00 4.21661e-04 4.73551e-04 1.53114e-02 -2.08184e-06 2.35808e-06 -5.68073e-07 -1.82386e-06 7.85987e-06 4.64360e-05 1.96896e-09 -2.37587e-09 -2.16227e-09 2.07508e-09 3.52631e-09 -3.45606e-09 -2.83913e-09 6.71645e-10 1.22877e-08 4.57961e-08
# precision: tgt 5.00e-03 max 4.78e-03 (95.6%) avg 6.88e-04 (13.8%)
-1.57342e-01 -8.50230e-04 1.10891e-03 -4.91591e-02 8.96456e-07 1.50765e-06 -7.18958e-06 2.31657e-06 7.35377e-06 -1.58994e-04 2.02670e-10 -1.52681e-09 1.95434e-09 7.44259e-10 1.88958e-09 -1.31481e-08 7.37752e-10 5.59188e-09 1.08816e-08 -1.69908e-07

#tof5k_z5_q1
2 5 0 20
# precision: tgt 5.00e-03 max 5.68e-03 (113.5%) avg 5.47e-04 (10.9%)
1.59254e-01 -8.05142e-04 -8.24202e-04 5.18624e-04 1.26670e-06 2.60886e-06 -9.00068e-07 1.35942e-06 -2.50949e-06 -3.33851e-07 -8.04690e-10 -2.51760e-09 1.33849e-09 -1.88460e-09 3.72195e-09 -2.03870e-09 -8.08594e-10 2.26068e-09 -1.45992e-09 -2.05815e-09
# precision: tgt 5.00e-03 max 4.58e-03 (91.6%) avg 9.32e-04 (18.6%)
-3.10565e-01 -5.21868e-04 -4.71355e-04 -3.97548e-03 1.32833e-06 2.05698e-06 -8.48318e-07 1.40680e-06 1.11534e-06 -1.52753e-05 -1.07837e-09 -1.90052e-09 1.46123e-09 -2.05326e-09 2.97274e-09 6.94403e-10 -1.40219e-09 1.06817e-09 1.35468e-09 -1.83177e-08
# precision: tgt 5.00e-03 max 1.84e-03 (36.8%) avg 3.52e-04 (7.0%)
5.49699e+00 -6.15793e-04 -6.16398e-04 4.77021e-03 1.16439e-06 3.89882e-09 -4.31603e-06 1.14070e-06 -4.89600e-06 1.34475e-05 -1.57896e-11 -5.20976e-11 1.39137e-09 6.54828e-11 -3.11635e-11 -8.56518e-09 -6.18545e-11 1.51610e-09 -9.30537e-09 1.39729e-08

#tof5k_z5_q2
2 5 1 20
# precision: tgt 5.00e-03 max 6.70e-03 (134.1%) avg 5.93e-04 (11.9%)
-1.51165e-03 -6.61209e-04 9.16284e-04 1.15945e-03 -1.96065e-06 2.99695e-06 1.38598e-06 -1.47725e-06 2.70169e-06 5.93707e-06 -1.59932e-09 2.81691e-09 -1.75782e-09 -2.40907e-09 4.18799e-09 3.75721e-09 9.33529e-10 -1.73487e-09 1.85131e-09 7.34763e-09
# precision: tgt 5.00e-03 max 3.84e-03 (76.9%) avg 6.84e-04 (13.7%)
-3.86847e-01 7.30141e-04 -4.64573e-04 -4.89159e-03 1.81270e-06 -2.44319e-06 1.66214e-06 1.38807e-06 1.26139e-06 -1.87743e-05 1.48006e-09 -2.50021e-09 2.29802e-09 2.17130e-09 -3.14161e-09 9.91277e-12 -1.18479e-09 1.60482e-09 2.22847e-09 -2.25370e-08
# precision: tgt 5.00e-03 max 1.93e-03 (38.5%) avg 3.21e-04 (6.4%)
5.58851e+00 3.60504e-04 -2.44112e-04 6.10810e-03 8.89233e-07 1.04190e-06 4.24375e-06 7.10684e-07 -3.58888e-06 1.85417e-05 -3.44707e-10 1.31802e-09 3.30825e-09 -1.07941e-09 4.27058e-11 6.76896e-09 5.09285e-10 2.12752e-09 -6.84064e-09 2.02699e-08

#tof5k_z5_q3
2 5 2 20
# precision: tgt 5.00e-03 max 5.39e-03 (107.7%) avg 6.17e-04 (12.3%)
4.14155e-01 -4.86712e-04 -5.38513e-04 5.22262e-03 -1.67982e-06 -2.65076e-06 1.93395e-06 -1.28830e-06 -5.50922e-07 1.94790e-05 -1.61982e-09 -2.60853e-09 -7.56686e-10 -2.66208e-09 -3.02197e-09 3.52131e-09 -1.10602e-09 -5.36392e-10 6.74059e-10 2.28058e-08
# precision: tgt 5.00e-03 max 5.92e-03 (118.3%) avg 6.32e-04 (12.6%)
1.12205e-01 -5.63551e-04 -1.94087e-04 1.80433e-03 -1.20678e-06 -1.79584e-06 -1.52918e-06 -1.25180e-06 2.99466e-06 6.90368e-06 -7.96681e-10 -1.81079e-09 -1.99830e-09 -1.75077e-09 -2.01747e-09 -3.46317e-10 -1.38708e-09 -4.20322e-10 5.14133e-09 7.72693e-09
# precision: tgt 5.00e-03 max 2.07e-03 (41.3%) avg 3.20e-04 (6.4%)
5.46396e+00 1.07783e-04 1.88011e-04 5.08931e-03 8.43934e-07 -9.56476e-07 2.49328e-06 1.30763e-06 1.93352e-06 1.60743e-05 -1.01517e-10 -1.07319e-09 2.43339e-09 -3.39105e-10 -1.07261e-09 4.46112e-09 2.30653e-10 3.12611e-09 3.26269e-09 1.85185e-08

#tof5k_z5_q4
2 5 3 20
# precision: tgt 5.00e-03 max 5.48e-03 (109.7%) avg 7.17e-04 (14.3%)
-4.14279e-02 -6.91499e-04 7.16106e-04 -1.48127e-03 1.33639e-06 -2.66632e-06 1.93314e-07 1.17688e-06 1.87336e-06 -6.74161e-06 -1.02784e-09 3.05063e-09 5.57297e-10 -2.11957e-09 -2.69560e-09 -9.78364e-10 7.54612e-10 1.41631e-09 1.34879e-09 -9.15040e-09
# precision: tgt 5.00e-03 max 4.17e-03 (83.5%) avg 7.71e-04 (15.4%)
9.00477e-02 5.50094e-04 -2.06740e-04 1.58807e-03 -1.10866e-06 1.14826e-06 2.00273e-06 -8.78568e-07 1.84082e-06 6.81404e-06 1.07900e-09 -1.24554e-09 -1.17519e-09 7.06009e-10 2.21278e-09 1.97015e-09 -1.40007e-09 3.06201e-10 2.25327e-09 8.74970e-09
# precision: tgt 5.00e-03 max 2.10e-03 (41.9%) avg 3.58e-04 (7.2%)
5.50277e+00 1.44623e-05 2.79930e-04 5.53541e-03 6.20407e-07 8.38113e-07 -1.06481e-06 1.33902e-06 2.32451e-06 1.80279e-05 1.10210e-10 -7.68791e-10 1.99541e-10 5.20335e-10 1.33782e-09 -3.76021e-09 3.38603e-10 2.81863e-09 3.89901e-09 2.14421e-08

#tof5k_z6_q1
2 6 0 20
# precision: tgt 5.00e-03 max 3.24e-03 (64.9%) avg 2.75e-04 (5.5%)
3.77746e-02 -3.11980e-04 -3.11263e-04 -2.77190e-05 6.70042e-07 1.36688e-06 1.04242e-06 6.46597e-07 -5.82325e-07 -5.48607e-07 -4.01544e-10 -1.54591e-09 6.19273e-10 -1.24049e-09 1.32375e-09 8.74691e-11 -4.75430e-10 7.73450e-10 9.27770e-11 -8.87714e-10
# precision: tgt 5.00e-03 max 2.94e-03 (58.9%) avg 3.57e-04 (7.1%)
3.26006e-02 -1.77196e-04 -1.40150e-04 2.30928e-04 5.09126e-07 6.82955e-07 -2.22072e-07 3.72568e-07 1.39597e-06 6.29133e-07 -5.31501e-10 -8.03190e-10 1.71670e-10 -6.58349e-10 9.54120e-10 1.16351e-10 -3.14135e-10 3.21197e-10 4.96616e-10 1.04187e-09
# precision: tgt 5.00e-03 max 2.39e-03 (47.8%) avg 2.78e-04 (5.6%)
5.02522e+00 -4.53010e-05 -2.33931e-05 1.88694e-04 7.69367e-07 5.30491e-08 -1.83524e-07 9.20246e-07 -3.48247e-07 -5.94739e-07 7.71033e-11 -9.00667e-11 1.84037e-11 -5.51272e-11 -1.92654e-10 -1.19424e-09 -1.36406e-10 2.49005e-10 -1.14834e-09 7.13155e-10

#tof5k_z6_q2
2 6 1 20
# precision: tgt 5.00e-03 max 3.58e-03 (71.6%) avg 3.28e-04 (6.6%)
-4.32651e-02 -3.38064e-04 3.32662e-04 -3.67098e-05 -9.42850e-07 1.52346e-06 1.12624e-06 -7.48631e-07 5.31176e-07 4.54608e-07 -8.06998e-10 1.74302e-09 -4.85251e-10 -1.60331e-09 1.27740e-09 7.64347e-10 5.29692e-10 -4.90322e-10 7.92039e-11 6.00653e-10
# precision: tgt 5.00e-03 max 1.91e-03 (38.2%) avg 3.22e-04 (6.4%)
3.89158e-02 3.08721e-04 -2.65911e-04 1.37653e-04 7.93287e-07 -1.10045e-06 7.54208e-07 6.64178e-07 9.32634e-07 -2.03449e-07 6.75489e-10 -1.25159e-09 9.91544e-10 9.64882e-10 -1.27143e-09 7.47158e-11 -5.75342e-10 8.41811e-10 2.02528e-10 -4.50681e-10
# precision: tgt 5.00e-03 max 2.19e-03 (43.9%) avg 2.67e-04 (5.3%)
5.01888e+00 -2.85358e-05 8.77073e-05 3.15021e-04 6.47370e-07 6.98681e-07 1.15561e-06 5.55032e-07 -8.12183e-07 -3.77723e-07 -1.63082e-10 9.19175e-10 1.58265e-09 -7.09273e-10 -7.91336e-11 1.66972e-09 2.74665e-10 6.84481e-10 -2.07267e-09 3.95515e-10

#tof5k_z6_q3
2 6 2 20
# precision: tgt 5.00e-03 max 2.57e-03 (51.5%) avg 3.44e-04 (6.9%)
-1.49761e-02 -2.18373e-04 -2.68175e-04 1.73596e-04 -7.49772e-07 -1.20528e-06 1.57483e-06 -7.56487e-07 -2.40408e-07 1.10225e-06 -7.80335e-10 -1.22914e-09 -7.54813e-11 -1.50414e-09 -1.18258e-09 1.45957e-09 -6.34129e-10 -4.23831e-10 5.38161e-10 1.12730e-09
# precision: tgt 5.00e-03 max 5.22e-03 (104.3%) avg 4.27e-04 (8.5%)
-6.69558e-03 -1.96293e-04 -1.45361e-04 2.40771e-04 -5.07885e-07 -9.87365e-07 -1.87213e-07 -5.07055e-07 1.80996e-06 1.00914e-06 -3.90045e-10 -1.22685e-09 -4.81119e-10 -1.02021e-09 -5.34549e-10 4.19935e-10 -5.35213e-10 9.53804e-11 1.70838e-09 1.06505e-09
# precision: tgt 5.00e-03 max 2.40e-03 (48.0%) avg 3.24e-04 (6.5%)
5.03000e+00 -2.49555e-05 1.07592e-04 4.01517e-04 6.92668e-07 -4.81811e-07 9.81922e-07 9.58899e-07 1.11068e-06 -2.70259e-08 -4.58364e-11 -6.89395e-10 1.27987e-09 -2.19968e-10 -2.21809e-10 1.63379e-09 1.17146e-10 1.77189e-09 1.88960e-09 7.50549e-10

#tof5k_z6_q4
2 6 3 20
# precision: tgt 5.00e-03 max 3.70e-03 (74.0%) avg 5.55e-04 (11.1%)
7.17055e-02 -3.77482e-04 3.63554e-04 3.01686e-04 7.42826e-07 -1.60774e-06 8.73199e-07 6.66307e-07 7.25044e-07 7.82157e-07 -4.21867e-10 1.86165e-09 5.74603e-10 -1.25446e-09 -1.72729e-09 -1.87329e-10 3.62978e-10 1.01971e-09 -1.07126e-10 1.01712e-09
# precision: tgt 5.00e-03 max 4.23e-03 (84.6%) avg 5.53e-04 (11.1%)
-1.83544e-02 1.95300e-04 -7.30817e-05 -1.21090e-05 -5.99020e-07 4.81342e-07 4.34132e-07 -3.41447e-07 1.70123e-06 -1.20520e-09 6.50180e-10 -8.27181e-10 -3.17068e-10 1.64872e-10 5.86381e-10 5.68883e-10 -6.30315e-10 4.59511e-10 7.94875e-10 1.23605e-10
# precision: tgt 5.00e-03 max 2.28e-03 (45.5%) avg 3.06e-04 (6.1%)
5.01931e+00 3.02806e-05 1.21704e-04 2.09838e-04 6.35289e-07 2.64179e-07 -9.18110e-08 1.03868e-06 7.52458e-07 -6.06813e-07 2.59806e-11 -2.29999e-10 -4.81714e-10 9.92779e-11 8.01766e-10 -1.63646e-09 2.59436e-10 1.33900e-09 1.31887e-09 3.12920e-10

#tof5k_z7_q1
2 7 0 20
# precision: tgt 5.00e-03 max 2.30e-03 (45.9%) avg 2.12e-04 (4.2%)
3.28043e-02 -1.82102e-04 -1.80622e-04 1.49117e-04 3.63351e-07 8.52574e-07 1.20575e-06 3.68297e-07 -3.23952e-07 5.62119e-07 -2.24451e-10 -1.02165e-09 1.58518e-10 -8.20261e-10 6.66487e-10 -3.17536e-10 -2.76383e-10 4.05897e-10 2.98244e-11 8.69126e-10
# precision: tgt 5.00e-03 max 1.85e-03 (37.0%) avg 2.61e-04 (5.2%)
1.00075e-02 -6.68266e-05 -3.83137e-05 1.19436e-04 2.53465e-07 2.34607e-07 -1.95193e-08 1.05956e-07 1.49490e-06 3.99446e-07 -3.23188e-10 -4.40269e-10 -1.57348e-10 -2.99958e-10 5.58949e-11 -2.05181e-10 -8.74520e-11 -2.39858e-11 -1.16441e-10 5.94590e-10
# precision: tgt 5.00e-03 max 1.61e-03 (32.3%) avg 2.06e-04 (4.1%)
5.00069e+00 -8.41854e-06 2.95184e-05 -1.24516e-04 7.47475e-07 2.92155e-08 1.41392e-07 8.08399e-07 -1.51506e-08 -1.94974e-06 2.32865e-11 -1.09448e-10 -2.70350e-10 -3.73545e-11 -3.32773e-10 -6.75284e-10 -4.55529e-11 -3.03289e-11 -6.02371e-10 -1.32725e-09

#tof5k_z7_q2
2 7 1 20
# precision: tgt 5.00e-03 max 2.15e-03 (42.9%) avg 2.51e-04 (5.0%)
-4.00216e-02 -1.87149e-04 1.99832e-04 -2.70599e-04 -5.46823e-07 9.71501e-07 1.36079e-06 -4.50581e-07 3.04800e-07 -1.08214e-06 -4.96690e-10 1.18922e-09 2.99579e-11 -1.10766e-09 5.77537e-10 4.93410e-10 3.15710e-10 -1.21245e-10 2.54004e-10 -2.09958e-09
# precision: tgt 5.00e-03 max 1.81e-03 (36.3%) avg 2.27e-04 (4.5%)
1.41491e-02 1.29157e-04 -8.95534e-05 9.70158e-05 4.24390e-07 -5.17937e-07 2.21508e-07 2.76346e-07 1.40979e-06 1.19997e-07 4.37068e-10 -7.96708e-10 2.75404e-10 5.02111e-10 -8.37251e-11 1.28442e-10 -2.64487e-10 2.42856e-10 1.16431e-10 6.35854e-11
# precision: tgt 5.00e-03 max 1.47e-03 (29.5%) avg 2.28e-04 (4.6%)
5.01178e+00 -6.82939e-05 1.08846e-04 2.45918e-04 6.10943e-07 4.58727e-07 5.09438e-07 5.66476e-07 -2.75799e-07 -9.85517e-08 -3.35828e-11 4.08109e-10 4.28384e-10 -2.96858e-10 7.10535e-10 1.54912e-09 1.37219e-10 -1.45689e-10 -1.89356e-09 1.20308e-09

#tof5k_z7_q3
2 7 2 20
# precision: tgt 5.00e-03 max 1.67e-03 (33.5%) avg 2.63e-04 (5.3%)
-1.83174e-02 -1.12731e-04 -1.61998e-04 -3.72019e-05 -3.41847e-07 -6.43486e-07 1.39736e-06 -4.60977e-07 -2.39590e-07 1.95499e-07 -3.13127e-10 -5.80081e-10 -1.81111e-11 -9.24419e-10 -7.05559e-10 7.23310e-10 -3.80679e-10 -2.32376e-10 8.26757e-11 1.14723e-10
# precision: tgt 5.00e-03 max 3.70e-03 (74.0%) avg 3.05e-04 (6.1%)
-1.36073e-02 -1.13501e-04 -1.06180e-04 5.98886e-05 -2.25209e-07 -6.22994e-07 -1.61525e-07 -2.88342e-07 1.53922e-06 2.51568e-07 -8.02911e-11 -7.51533e-10 -4.07606e-10 -6.05519e-10 -3.37744e-10 3.31539e-10 -2.44811e-10 -1.85958e-11 1.06484e-09 7.98708e-11
# precision: tgt 5.00e-03 max 1.55e-03 (31.1%) avg 2.39e-04 (4.8%)
5.01495e+00 -4.02270e-05 4.67484e-05 2.08167e-04 6.53991e-07 -3.13232e-07 6.10985e-07 7.79669e-07 5.72994e-07 -5.26775e-07 -4.40214e-12 -3.96620e-10 5.81435e-10 -9.68148e-11 -3.82563e-10 1.40028e-09 8.30546e-11 7.85274e-10 1.49310e-09 3.72662e-10

#tof5k_z7_q4
2 7 3 20
# precision: tgt 5.00e-03 max 2.37e-03 (47.4%) avg 4.54e-04 (9.1%)
3.64556e-02 -2.21758e-04 2.05222e-04 1.04317e-04 4.58600e-07 -1.05261e-06 1.30923e-06 3.12302e-07 3.53970e-07 3.57104e-07 -2.54581e-10 1.37176e-09 1.61342e-10 -8.13324e-10 -8.20075e-10 1.28742e-11 9.78457e-11 4.80487e-10 -4.24391e-11 6.24106e-10
# precision: tgt 5.00e-03 max 3.33e-03 (66.5%) avg 4.13e-04 (8.3%)
-1.04730e-02 1.02736e-04 -2.34119e-05 -2.88588e-05 -3.87004e-07 2.08320e-07 9.13897e-08 -1.15601e-07 1.61734e-06 -3.70178e-07 4.51435e-10 -5.75898e-10 -2.14167e-11 -1.25869e-10 1.15828e-10 2.69418e-10 -3.19855e-10 4.67660e-10 3.28962e-10 -6.83993e-10
# precision: tgt 5.00e-03 max 1.40e-03 (28.1%) avg 2.16e-04 (4.3%)
5.00702e+00 3.57923e-05 4.01946e-05 8.73117e-05 7.29224e-07 1.52786e-07 3.22382e-07 8.36039e-07 1.45952e-07 -7.00410e-07 -1.05800e-10 3.29658e-11 -7.19748e-10 -2.10367e-11 1.12636e-09 -9.53347e-10 1.66470e-10 4.33289e-10 8.18165e-10 6.86886e-10

#tof5k_z8_q1
2 8 0 20
# precision: tgt 5.00e-03 max 1.57e-03 (31.4%) avg 1.64e-04 (3.3%)
1.76454e-02 -1.19487e-04 -1.16699e-04 4.51321e-05 2.30948e-07 5.44813e-07 1.20252e-06 2.16924e-07 -3.11119e-07 2.10265e-08 -9.69227e-11 -5.99396e-10 3.82646e-10 -4.74526e-10 7.20639e-10 -1.75144e-10 -1.35996e-10 4.39579e-10 4.40802e-11 -9.64913e-11
# precision: tgt 5.00e-03 max 1.14e-03 (22.8%) avg 1.96e-04 (3.9%)
4.94468e-03 -4.33504e-05 -2.61215e-05 7.27128e-05 1.37822e-07 1.07342e-07 -1.58439e-07 4.59536e-08 1.35340e-06 9.37570e-09 -1.50225e-10 -1.48719e-10 1.25109e-10 -9.25491e-11 4.79294e-10 -1.07853e-10 4.55385e-12 1.92761e-10 -1.09435e-10 -1.04866e-10
# precision: tgt 5.00e-03 max 1.23e-03 (24.6%) avg 2.07e-04 (4.1%)
5.00369e+00 -1.58003e-07 5.29089e-05 -5.73835e-05 7.57936e-07 1.49920e-09 2.24002e-07 7.61928e-07 1.42522e-07 -1.57282e-06 -3.90653e-11 -1.15444e-10 -4.16209e-10 -5.49305e-11 -5.02474e-10 -5.88909e-10 -5.62183e-11 -3.68628e-10 -5.01595e-10 -7.45274e-10

#tof5k_z8_q2
2 8 1 20
# precision: tgt 5.00e-03 max 1.43e-03 (28.5%) avg 2.01e-04 (4.0%)
-1.96241e-02 -1.33397e-04 1.33470e-04 -5.31454e-05 -3.53053e-07 6.38066e-07 1.13771e-06 -2.88308e-07 2.89971e-07 2.72324e-07 -2.49449e-10 7.15715e-10 -2.75587e-10 -6.81770e-10 7.33712e-10 1.31771e-10 1.61424e-10 -2.23992e-10 6.08172e-11 6.56370e-10
# precision: tgt 5.00e-03 max 1.60e-03 (32.0%) avg 1.57e-04 (3.1%)
9.52863e-03 8.20944e-05 -5.78508e-05 9.20952e-05 2.41662e-07 -3.06779e-07 3.06400e-07 1.34946e-07 1.25532e-06 -3.06413e-08 2.25126e-10 -4.06984e-10 3.82874e-10 2.08784e-10 -3.99203e-10 1.29447e-10 -1.03909e-10 2.83841e-10 -1.61248e-10 -3.38129e-10
# precision: tgt 5.00e-03 max 1.46e-03 (29.1%) avg 2.16e-04 (4.3%)
5.00565e+00 -2.91461e-05 6.17483e-05 7.84896e-06 7.36537e-07 9.51935e-08 1.98004e-07 6.97232e-07 -7.06791e-08 -1.31788e-06 9.01915e-11 3.48715e-11 2.37669e-10 -5.87658e-12 1.47560e-10 4.17174e-10 5.49379e-11 -3.31661e-11 -7.40435e-10 -3.96704e-10

#tof5k_z8_q3
2 8 2 20
# precision: tgt 5.00e-03 max 1.24e-03 (24.8%) avg 2.07e-04 (4.1%)
-7.84925e-03 -3.03758e-05 -8.28975e-05 -1.95929e-05 -9.41962e-08 -3.09364e-07 1.48360e-06 -2.86583e-07 -4.42762e-08 1.10493e-07 -6.03511e-11 -2.48656e-10 2.33359e-10 -6.12610e-10 -1.18679e-10 2.55935e-10 -2.61692e-10 5.96597e-11 -6.34901e-11 1.69826e-10
# precision: tgt 5.00e-03 max 3.38e-03 (67.6%) avg 2.55e-04 (5.1%)
-1.13682e-02 -7.17156e-05 -7.74469e-05 3.36988e-05 -8.94987e-08 -4.42207e-07 -1.36371e-07 -1.64502e-07 1.44557e-06 1.07541e-07 3.94722e-11 -5.21613e-10 -2.44959e-10 -4.32087e-10 -1.06979e-10 6.37044e-11 -1.10606e-10 9.81614e-11 4.61168e-10 6.99870e-11
# precision: tgt 5.00e-03 max 1.41e-03 (28.2%) avg 2.08e-04 (4.2%)
5.01090e+00 -8.64574e-06 7.10340e-05 4.00937e-05 7.72552e-07 2.48215e-08 2.52734e-07 8.66121e-07 2.11483e-07 -1.19267e-06 1.08856e-10 -2.51383e-11 3.87645e-10 2.14533e-10 -2.65047e-11 2.50213e-10 1.91624e-10 4.88658e-10 4.42471e-10 -4.47045e-11

#tof5k_z8_q4
2 8 3 20
# precision: tgt 5.00e-03 max 2.04e-03 (40.8%) avg 3.93e-04 (7.9%)
2.53611e-02 -1.71309e-04 1.42303e-04 4.48757e-05 3.60061e-07 -8.19112e-07 1.39027e-06 1.75472e-07 1.86075e-07 2.10068e-07 -2.17156e-10 1.18306e-09 -7.61797e-11 -6.47598e-10 -2.39735e-10 -4.35933e-10 -9.73894e-13 1.88969e-10 2.02960e-10 1.57414e-10
# precision: tgt 5.00e-03 max 3.08e-03 (61.5%) avg 3.45e-04 (6.9%)
-2.29768e-03 6.25152e-05 1.27013e-05 4.96015e-05 -2.80118e-07 3.40808e-08 2.48895e-09 2.27586e-08 1.59741e-06 5.74737e-08 3.51694e-10 -3.76608e-10 6.89810e-11 -3.29428e-10 -8.40710e-11 2.25268e-10 -1.43514e-10 4.81584e-10 1.11136e-10 2.47827e-10
# precision: tgt 5.00e-03 max 9.81e-04 (19.6%) avg 1.71e-04 (3.4%)
5.00629e+00 -9.53503e-06 4.04424e-05 6.95394e-06 8.27263e-07 5.69127e-09 1.92143e-07 8.05150e-07 2.22843e-08 -1.23177e-06 -1.54102e-10 1.12914e-10 -3.73400e-10 -5.88741e-11 4.62974e-10 -4.18618e-10 1.77546e-10 1.47186e-10 2.64995e-10 1.37772e-10

#tof5k_z9_q1
2 9 0 20
# precision: tgt 5.00e-03 max 2.04e-03 (40.7%) avg 1.55e-04 (3.1%)
4.93639e-03 -4.12211e-05 -4.59471e-05 -5.76716e-05 1.17057e-07 3.23809e-07 1.87377e-06 1.21177e-07 3.04505e-07 1.25831e-07 -9.58372e-11 -4.42755e-10 -3.45081e-10 -3.77374e-10 -3.08610e-10 1.26935e-09 -1.29076e-10 -2.03549e-10 1.33725e-09 2.50807e-09
# precision: tgt 5.00e-03 max 1.44e-03 (28.9%) avg 1.43e-04 (2.9%)
-2.58283e-03 8.33618e-06 2.08753e-05 1.66275e-05 2.15634e-08 -5.88439e-08 1.72416e-07 -3.94947e-08 1.69157e-06 7.17843e-08 -5.52766e-11 -5.73576e-12 -2.09153e-10 3.06873e-11 -1.60341e-10 4.81223e-10 4.12795e-11 -2.05907e-10 3.95224e-10 1.10138e-09
# precision: tgt 5.00e-03 max 1.18e-03 (23.6%) avg 2.06e-04 (4.1%)
5.00642e+00 -1.56995e-05 3.72167e-05 -3.15516e-05 8.18212e-07 8.08706e-08 2.60358e-07 8.13438e-07 1.48516e-07 -1.32891e-06 -1.07415e-10 -2.27280e-10 -4.35441e-10 -1.62608e-10 -5.73783e-10 -6.24526e-10 -1.03196e-10 -3.49760e-10 -6.33864e-10 -3.29547e-10

#tof5k_z9_q2
2 9 1 20
# precision: tgt 5.00e-03 max 1.49e-03 (29.9%) avg 1.61e-04 (3.2%)
-1.02087e-02 -5.26206e-05 6.50999e-05 -3.46984e-05 -1.70481e-07 3.62689e-07 1.56901e-06 -1.50468e-07 -4.24369e-08 -2.28217e-07 -1.20684e-10 4.41791e-10 2.21409e-10 -4.31296e-10 9.46986e-11 1.04813e-09 7.99095e-11 1.56892e-10 -4.88109e-10 -2.36213e-09
# precision: tgt 5.00e-03 max 1.69e-03 (33.7%) avg 1.14e-04 (2.3%)
1.00620e-03 2.11009e-05 -6.16697e-06 1.75585e-05 9.30640e-08 -1.36761e-07 -9.79577e-08 4.21669e-08 1.69819e-06 -2.42551e-08 9.62465e-11 -2.37592e-10 -4.01022e-11 1.08841e-10 3.21170e-10 -5.41068e-10 -5.68681e-11 -2.00888e-10 6.64299e-10 8.46968e-10
# precision: tgt 5.00e-03 max 1.32e-03 (26.4%) avg 1.98e-04 (4.0%)
5.00427e+00 -3.99012e-05 7.61329e-05 6.41627e-06 7.13162e-07 1.11244e-07 1.07734e-07 6.79440e-07 1.18835e-07 -1.09977e-06 7.75120e-11 5.74420e-11 1.48026e-10 -2.04347e-11 1.22809e-10 3.70407e-11 3.17985e-11 -2.99772e-10 -1.28630e-10 1.20913e-09

#tof5k_z9_q3
2 9 2 20
# precision: tgt 5.00e-03 max 1.14e-03 (22.7%) avg 1.61e-04 (3.2%)
-4.21731e-03 -2.55153e-06 -5.74089e-05 -5.46955e-06 -2.08557e-08 -2.02598e-07 1.56738e-06 -2.20658e-07 2.28937e-09 1.26101e-07 1.16826e-11 -1.49073e-10 3.54246e-10 -4.98943e-10 1.28411e-10 1.26730e-10 -2.05475e-10 1.67104e-10 -3.89574e-10 6.14568e-10
# precision: tgt 5.00e-03 max 3.22e-03 (64.3%) avg 2.22e-04 (4.4%)
-1.26478e-02 -8.64973e-05 -9.51066e-05 5.74246e-05 -1.43065e-07 -5.51887e-07 -2.53034e-08 -2.26212e-07 1.55323e-06 1.49527e-07 -2.55833e-11 -6.64998e-10 -1.14644e-10 -6.07494e-10 5.97670e-11 2.13384e-10 -1.68291e-10 1.67212e-10 7.46910e-10 -9.16742e-11
# precision: tgt 5.00e-03 max 1.32e-03 (26.3%) avg 1.97e-04 (3.9%)
5.00968e+00 2.09076e-06 7.88221e-05 -5.19319e-05 8.27152e-07 1.51528e-07 -5.26991e-08 8.98449e-07 -4.36624e-08 -1.65049e-06 1.80825e-10 1.63751e-10 1.06631e-10 3.44798e-10 -8.45083e-11 -8.77578e-10 2.29109e-10 3.17961e-10 -5.91215e-10 -1.10096e-10

#tof5k_z9_q4
2 9 3 20
# precision: tgt 5.00e-03 max 2.25e-03 (45.0%) avg 3.57e-04 (7.1%)
2.28536e-02 -1.70362e-04 1.30225e-04 1.85971e-05 3.99895e-07 -8.07969e-07 1.46131e-06 1.60910e-07 7.68798e-08 1.76179e-07 -2.80812e-10 1.20193e-09 -1.98454e-11 -6.30268e-10 -2.62924e-10 8.21714e-11 -4.26016e-12 1.55964e-10 -3.77319e-10 1.01786e-09
# precision: tgt 5.00e-03 max 2.91e-03 (58.2%) avg 3.01e-04 (6.0%)
-2.41973e-03 5.27934e-05 1.50813e-05 3.55994e-05 -2.42380e-07 -7.52773e-09 1.89313e-08 5.37837e-08 1.50747e-06 2.55481e-08 3.10638e-10 -2.73292e-10 -1.11120e-11 -3.91553e-10 1.32150e-10 -1.15132e-10 -6.64886e-11 2.35378e-10 4.29031e-10 -3.31493e-10
# precision: tgt 5.00e-03 max 1.01e-03 (20.2%) avg 1.71e-04 (3.4%)
5.00283e+00 4.25455e-06 2.25767e-05 -4.51713e-05 7.88776e-07 7.09855e-08 2.20670e-07 7.48377e-07 2.76005e-09 -1.71808e-06 -9.69124e-11 8.91220e-12 -2.30005e-10 6.04155e-11 2.63432e-10 1.80429e-10 1.09604e-10 2.23471e-10 -1.05539e-10 -9.93631e-10

#tofext5k_z0_q1
3 0 0 20
# precision: tgt 5.00e-03 max 6.54e-03 (130.7%) avg 8.51e-04 (17.0%)
5.76184e+00 -1.73122e-02 -1.59487e-02 1.60846e-02 1.21835e-05 2.75306e-05 -3.78766e-05 8.85466e-06 -3.56737e-05 1.30858e-05 -2.70893e-09 -6.89424e-09 1.98029e-08 -1.09922e-08 3.34563e-08 -1.78571e-08 3.43961e-09 1.48302e-08 -2.03072e-08 1.31056e-09
# precision: tgt 5.00e-03 max 9.55e-03 (190.9%) avg 1.28e-03 (25.7%)
5.54154e+00 -1.49010e-02 -1.51938e-02 1.86814e-02 3.20040e-05 5.67585e-05 8.37950e-07 2.67273e-05 -4.46464e-06 3.68136e-05 -1.50644e-08 -5.05841e-08 1.65035e-08 -4.15882e-08 2.14388e-08 1.25690e-08 -1.41820e-08 1.54397e-08 8.47917e-09 2.69915e-08
# precision: tgt 5.00e-03 max 6.75e-03 (134.9%) avg 6.77e-04 (13.5%)
4.26710e+00 -8.76243e-03 -1.10273e-02 -1.75460e-02 -4.59814e-06 3.80495e-06 -3.25385e-05 6.12235e-09 -3.72630e-05 -5.41929e-05 7.48006e-09 1.38394e-08 8.66647e-09 1.04368e-08 2.96119e-08 -1.83721e-08 3.32981e-09 1.06905e-08 -2.16980e-08 -4.03639e-08

#tofext5k_z0_q2
3 0 1 20
# precision: tgt 5.00e-03 max 6.12e-03 (122.4%) avg 1.03e-03 (20.6%)
-2.04510e+00 -7.02003e-03 8.79966e-03 -3.68310e-03 1.75118e-06 3.81211e-06 -2.46538e-05 -7.10238e-07 2.90855e-05 5.62064e-06 4.46188e-09 -1.47785e-08 -1.41180e-08 6.91226e-09 2.80467e-08 -9.65463e-09 -7.23172e-09 -1.45018e-08 1.57382e-08 8.48661e-09
# precision: tgt 5.00e-03 max 9.81e-03 (196.1%) avg 1.54e-03 (30.8%)
3.96893e+00 1.64440e-02 -1.80141e-02 7.37665e-03 3.70358e-05 -6.95391e-05 -6.53155e-06 3.42601e-05 -1.56716e-06 1.70551e-05 1.79387e-08 -6.13620e-08 1.59648e-08 5.33218e-08 -2.28312e-08 -1.82085e-08 -1.81737e-08 1.78731e-08 1.26899e-08 1.58550e-08
# precision: tgt 5.00e-03 max 5.86e-03 (117.2%) avg 8.45e-04 (16.9%)
1.11822e+00 5.04669e-03 -7.31639e-03 -3.14626e-02 4.69860e-06 -1.24104e-05 7.04755e-06 2.81571e-06 -1.77093e-05 -6.96522e-05 4.71083e-09 -9.29788e-09 -9.00672e-10 5.51132e-09 -9.76403e-09 3.43867e-09 -2.53571e-10 3.53496e-09 -1.19743e-08 -4.61631e-08

#tofext5k_z0_q3
3 0 2 20
# precision: tgt 5.00e-03 max 1.13e-02 (225.5%) avg 1.84e-03 (36.9%)
-1.08231e+01 -2.48125e-02 -2.49497e-02 -4.51804e-02 -4.31336e-05 -6.48956e-05 -3.23178e-05 -3.90940e-05 -3.67940e-05 -7.68500e-05 -2.61769e-08 -6.00201e-08 -2.57822e-08 -6.24302e-08 -1.54197e-08 -1.96695e-08 -1.84900e-08 -2.33343e-08 -2.73656e-08 -4.22868e-08
# precision: tgt 5.00e-03 max 1.60e-02 (320.0%) avg 2.35e-03 (47.0%)
-7.93358e+00 9.08327e-03 -1.39189e-04 -5.88085e-02 5.08606e-07 1.15697e-05 1.99472e-05 -1.09862e-05 -7.27968e-06 -1.26754e-04 1.04865e-08 2.39862e-09 -1.58028e-08 3.34418e-09 1.32623e-08 1.19324e-08 -1.08515e-08 -1.66818e-08 -1.02518e-08 -8.29617e-08
# precision: tgt 5.00e-03 max 1.33e-02 (266.9%) avg 1.78e-03 (35.7%)
-2.26676e+01 -5.55030e-03 1.04821e-03 -1.67916e-01 -5.34407e-06 3.11151e-05 -4.69220e-05 6.65742e-06 -3.13340e-05 -3.12596e-04 5.92797e-09 3.03161e-08 -3.36769e-08 3.91510e-08 -9.49201e-09 -3.98280e-08 1.53122e-08 -2.63133e-08 -2.73968e-08 -1.86976e-07

#tofext5k_z0_q4
3 0 3 20
# precision: tgt 5.00e-03 max 1.39e-02 (278.0%) avg 2.50e-03 (50.0%)
1.55091e+01 -3.60176e-02 3.33512e-02 6.30894e-02 6.04470e-05 -9.19034e-05 -4.63091e-05 4.95183e-05 4.63724e-05 1.05911e-04 -3.67375e-08 8.87681e-08 3.06912e-08 -8.56159e-08 -1.69834e-08 -3.09385e-08 2.38026e-08 2.40999e-08 3.64843e-08 5.74737e-08
# precision: tgt 5.00e-03 max 1.75e-02 (349.9%) avg 2.32e-03 (46.3%)
-1.13109e+01 2.63626e-03 -9.60342e-03 -6.84785e-02 -1.95976e-05 2.06822e-05 -1.00579e-05 -2.47371e-05 -1.46448e-05 -1.41794e-04 1.88097e-09 -2.97401e-08 -2.05220e-08 2.20534e-08 -7.98563e-09 -5.66956e-09 -1.80369e-08 -2.00849e-08 -1.46089e-08 -9.10574e-08
# precision: tgt 5.00e-03 max 1.43e-02 (286.4%) avg 1.97e-03 (39.4%)
-1.98990e+01 1.80198e-03 5.06487e-03 -1.56069e-01 -9.60470e-06 -2.91300e-05 2.86343e-05 5.90057e-06 -1.48866e-05 -2.98432e-04 3.39738e-10 1.91118e-08 -2.83684e-08 -3.16074e-08 -4.15985e-09 2.81399e-08 1.35736e-08 -2.17264e-08 -1.73966e-08 -1.81408e-07

#tofext5k_z1_q1
3 1 0 20
# precision: tgt 5.00e-03 max 6.87e-03 (137.4%) avg 6.90e-04 (13.8%)
8.36526e-01 -8.39057e-03 -9.29633e-03 -2.57612e-03 1.73975e-05 3.00558e-05 -1.10691e-06 1.57925e-05 -7.59378e-06 -5.85707e-06 -5.84030e-09 -1.73629e-08 2.06738e-08 -2.05431e-08 2.12492e-08 1.21734e-08 -1.98092e-09 1.77513e-08 1.80379e-09 -3.05589e-09
# precision: tgt 5.00e-03 max 7.16e-03 (143.2%) avg 8.74e-04 (17.5%)
2.33761e+00 -1.09975e-02 -8.55587e-03 6.51289e-03 2.14613e-05 3.19799e-05 -1.00476e-05 1.81115e-05 -2.03649e-06 1.18649e-05 -7.72955e-09 -2.60698e-08 2.03889e-08 -1.91830e-08 2.11406e-08 1.45761e-09 -6.90504e-09 2.10186e-08 1.12998e-08 8.95210e-09
# precision: tgt 5.00e-03 max 4.64e-03 (92.9%) avg 3.66e-04 (7.3%)
3.83283e+00 -6.04886e-04 -6.16869e-04 -5.57206e-03 2.55327e-06 5.66582e-07 -3.05337e-06 4.66770e-06 -9.64190e-07 -8.87517e-06 3.74186e-09 9.38516e-09 1.67571e-08 7.01606e-09 1.78467e-08 5.52386e-09 2.47144e-09 1.76760e-08 8.09173e-09 -9.73504e-10

#tofext5k_z1_q2
3 1 1 20
# precision: tgt 5.00e-03 max 5.50e-03 (110.0%) avg 5.88e-04 (11.8%)
4.25361e-01 -2.19000e-03 4.43107e-03 4.09559e-03 -8.64622e-06 1.48058e-05 6.00006e-06 -1.05276e-05 2.16922e-06 5.43429e-06 -1.74056e-09 4.58222e-09 -1.57667e-08 -1.00956e-08 1.51113e-08 1.45795e-08 -1.94322e-10 -1.64186e-08 -4.61348e-09 1.87278e-09
# precision: tgt 5.00e-03 max 5.38e-03 (107.7%) avg 8.05e-04 (16.1%)
8.53013e-01 9.77935e-03 -8.12596e-03 -1.91429e-03 2.24317e-05 -3.58511e-05 1.91947e-06 2.05508e-05 4.20149e-06 -1.98016e-06 9.60924e-09 -3.25772e-08 1.58362e-08 2.63561e-08 -1.44698e-08 -5.91889e-09 -9.54683e-09 1.80520e-08 1.45190e-08 7.29883e-10
# precision: tgt 5.00e-03 max 4.06e-03 (81.3%) avg 4.05e-04 (8.1%)
4.06001e+00 -5.37387e-04 3.84964e-04 -3.02842e-03 3.17067e-06 4.62207e-07 -9.76889e-07 3.90351e-06 1.36495e-06 -1.96841e-06 -4.82293e-10 3.78348e-09 1.07356e-08 -3.17915e-09 -6.27278e-09 -3.50263e-09 1.62844e-09 1.29319e-08 4.64437e-09 2.82277e-09

#tofext5k_z1_q3
3 1 2 20
# precision: tgt 5.00e-03 max 5.67e-03 (113.5%) avg 9.21e-04 (18.4%)
-2.03691e+00 -7.94162e-03 -8.68459e-03 -7.92225e-03 -2.28089e-05 -3.22895e-05 2.41269e-06 -2.25379e-05 -1.90903e-06 -1.97237e-05 -1.04332e-08 -2.42261e-08 -2.37709e-08 -2.82383e-08 -1.55784e-08 1.43821e-08 -7.07770e-09 -2.30119e-08 7.49129e-09 -1.57977e-08
# precision: tgt 5.00e-03 max 7.01e-03 (140.2%) avg 1.11e-03 (22.1%)
6.12751e-01 1.56141e-03 3.12020e-03 -2.41315e-03 -1.45173e-06 6.84354e-06 -2.01621e-06 -4.64173e-06 8.73492e-06 -9.94628e-06 5.18849e-09 2.82131e-09 -1.37162e-08 5.08693e-09 3.68754e-09 -4.20489e-09 -4.02212e-09 -1.14561e-08 9.46939e-09 -5.83469e-09
# precision: tgt 5.00e-03 max 6.86e-03 (137.2%) avg 1.02e-03 (20.5%)
6.26004e+00 6.18223e-03 8.66863e-03 4.45358e-03 1.43217e-05 2.41130e-05 3.46809e-06 2.05368e-05 8.12024e-06 1.32988e-05 2.02284e-09 1.30927e-08 2.10640e-08 1.91232e-08 1.66574e-08 -5.42514e-09 9.06650e-09 2.20073e-08 -1.12902e-09 1.45234e-08

#tofext5k_z1_q4
3 1 3 20
# precision: tgt 5.00e-03 max 8.73e-03 (174.7%) avg 1.38e-03 (27.5%)
3.37994e+00 -1.79009e-02 1.73258e-02 6.35859e-03 3.92707e-05 -6.15065e-05 -5.45718e-06 3.45969e-05 8.95614e-06 1.26579e-05 -1.92933e-08 5.13473e-08 2.95805e-08 -5.14493e-08 -2.17186e-08 1.07838e-08 1.25659e-08 2.61680e-08 -3.17647e-09 9.38745e-09
# precision: tgt 5.00e-03 max 9.39e-03 (187.8%) avg 1.10e-03 (22.0%)
-1.48449e+00 6.55948e-03 -2.90558e-03 -8.03529e-03 -1.85622e-05 1.97862e-05 3.48540e-06 -1.50585e-05 9.19209e-06 -2.12964e-05 6.08047e-09 -2.47835e-08 -1.68249e-08 1.58096e-08 -1.15083e-10 3.07932e-09 -9.42069e-09 -1.32034e-08 1.20034e-08 -1.42253e-08
# precision: tgt 5.00e-03 max 7.85e-03 (157.1%) avg 1.06e-03 (21.2%)
7.29778e+00 -8.59114e-03 1.14505e-02 7.83497e-03 1.44195e-05 -2.71668e-05 -1.03346e-05 2.14769e-05 1.61664e-05 1.61682e-05 -1.43155e-10 1.07348e-08 2.45956e-08 -1.76491e-08 -2.64476e-08 3.26595e-09 8.72506e-09 2.51195e-08 2.31707e-09 1.56428e-08

#tofext5k_z10_q1
3 10 0 20
# precision: tgt 5.00e-03 max 2.58e-03 (51.6%) avg 1.06e-04 (2.1%)
9.94035e-02 -5.66677e-04 -4.98425e-04 2.00419e-04 1.11649e-06 2.16433e-06 1.33958e-06 7.36459e-07 -4.67787e-08 2.32393e-09 -8.18480e-10 -2.19441e-09 -9.44592e-10 -1.97101e-09 5.00368e-11 -1.85190e-10 -3.06138e-10 -1.04438e-09 1.67524e-10 5.56496e-10
# precision: tgt 5.00e-03 max 2.56e-03 (51.2%) avg 7.57e-05 (1.5%)
7.41198e-02 -4.06396e-04 -3.99924e-04 3.74950e-04 7.61470e-07 1.56231e-06 -5.43181e-07 7.57611e-07 9.22836e-07 3.36853e-07 -5.04634e-10 -1.57029e-09 -6.49369e-10 -1.52982e-09 1.06825e-09 -5.85711e-10 -5.30430e-10 -6.28185e-10 -4.07561e-10 1.18113e-09
# precision: tgt 5.00e-03 max 2.65e-03 (52.9%) avg 1.00e-04 (2.0%)
4.97984e+00 1.20470e-04 2.26963e-04 2.54915e-04 5.73632e-07 -5.97187e-07 -9.68014e-07 4.16903e-07 -9.16548e-07 -1.06749e-06 6.33460e-11 3.75654e-10 9.38915e-10 6.55816e-10 1.92504e-09 -7.36519e-10 1.27477e-10 7.45208e-10 -3.26963e-10 -1.11252e-10

#tofext5k_z10_q2
3 10 1 20
# precision: tgt 5.00e-03 max 2.86e-03 (57.1%) avg 7.76e-05 (1.6%)
-6.79396e-02 -3.40649e-04 2.96928e-04 -1.35978e-04 -6.43189e-07 1.29319e-06 1.51305e-06 -3.87612e-07 -2.25775e-07 -1.39256e-08 -4.28877e-10 1.30244e-09 1.04666e-09 -1.13015e-09 -3.75203e-10 -1.51538e-10 1.25065e-10 1.34010e-09 8.91924e-11 3.29671e-10
# precision: tgt 5.00e-03 max 2.05e-03 (41.0%) avg 8.28e-05 (1.7%)
6.39196e-02 3.72994e-04 -3.10792e-04 2.86755e-04 7.52554e-07 -1.38582e-06 2.91496e-07 5.38470e-07 1.23846e-06 1.58671e-07 5.31146e-10 -1.52755e-09 -8.03153e-10 1.16836e-09 -4.07907e-10 2.67852e-10 -3.78491e-10 -8.92859e-10 -1.44557e-10 6.09525e-10
# precision: tgt 5.00e-03 max 2.24e-03 (44.8%) avg 7.09e-05 (1.4%)
5.00925e+00 4.13877e-05 3.52583e-05 -1.63785e-04 9.60698e-07 -2.10503e-07 -5.76432e-07 8.10842e-07 5.57746e-07 -1.26487e-06 2.60173e-10 -5.06578e-10 -5.18231e-10 2.48893e-10 1.18824e-09 -4.15018e-11 -1.21325e-10 -4.02174e-10 2.51817e-11 -9.61739e-11

#tofext5k_z10_q3
3 10 2 20
# precision: tgt 5.00e-03 max 2.25e-03 (45.0%) avg 2.77e-04 (5.5%)
2.19039e-01 1.46482e-03 1.26736e-03 -1.29463e-04 3.13999e-06 5.42522e-06 1.06147e-06 2.39834e-06 -5.99158e-07 7.02287e-08 2.21911e-09 5.84706e-09 -1.72454e-10 4.88593e-09 -1.06209e-09 -1.18682e-10 1.52887e-09 -6.75417e-10 -2.03563e-11 1.08094e-09
# precision: tgt 5.00e-03 max 4.05e-03 (81.0%) avg 3.78e-04 (7.6%)
3.52652e-01 2.43653e-03 1.86304e-03 1.42525e-04 5.60588e-06 8.26943e-06 2.70568e-07 3.23982e-06 1.79467e-06 1.89705e-07 4.27567e-09 9.27925e-09 9.78986e-11 6.98594e-09 7.26731e-10 1.68340e-10 1.87578e-09 2.67902e-10 8.04104e-11 1.46243e-09
# precision: tgt 5.00e-03 max 3.25e-03 (64.9%) avg 6.48e-05 (1.3%)
4.98588e+00 -1.92214e-04 -9.84471e-05 -3.09671e-04 3.40146e-07 -6.43594e-07 -1.07979e-06 4.20776e-07 -1.01222e-06 -1.86090e-06 -2.01611e-10 -7.44801e-10 -9.27318e-10 -5.34494e-10 -2.11976e-09 -1.09824e-09 -2.16591e-10 -7.11485e-10 -4.43917e-10 2.92881e-13

#tofext5k_z10_q4
3 10 3 20
# precision: tgt 5.00e-03 max 3.05e-03 (60.9%) avg 4.18e-04 (8.4%)
5.09141e-01 -3.09136e-03 2.49552e-03 -7.18276e-05 6.03963e-06 -1.09049e-05 1.73872e-06 3.53042e-06 -1.23112e-07 -4.61616e-07 -3.75739e-09 1.15307e-08 -2.90613e-10 -8.62353e-09 3.63147e-10 1.15754e-10 1.19029e-09 8.30810e-11 -5.31661e-10 -3.07013e-09
# precision: tgt 5.00e-03 max 3.46e-03 (69.1%) avg 4.58e-04 (9.2%)
-5.82691e-01 3.85307e-03 -3.07949e-03 5.80070e-05 -8.38180e-06 1.35388e-05 9.59515e-08 -5.23891e-06 1.47854e-06 4.03063e-07 5.97722e-09 -1.49666e-08 -2.71464e-10 1.12165e-08 9.53954e-11 -1.29010e-10 -2.94046e-09 1.31800e-11 1.16738e-10 3.92455e-09
# precision: tgt 5.00e-03 max 3.20e-03 (63.9%) avg 6.54e-05 (1.3%)
4.94421e+00 4.39335e-04 -3.47765e-04 8.00803e-05 -2.34463e-07 1.73707e-06 -3.68982e-07 -5.60450e-08 3.71426e-07 -1.70553e-06 6.50507e-10 -1.97019e-09 4.53397e-10 1.62576e-09 -8.07038e-10 3.90098e-10 -5.01963e-10 3.83303e-10 -1.65221e-10 -1.39371e-10

#tofext5k_z11_q1
3 11 0 20
# precision: tgt 5.00e-03 max 2.76e-03 (55.3%) avg 5.96e-05 (1.2%)
-1.86999e-02 7.01114e-05 8.74513e-05 7.43541e-05 -1.01584e-08 -2.38000e-07 1.13251e-06 -1.49444e-07 -1.95555e-07 3.26247e-09 -1.35213e-10 1.01588e-10 4.21165e-10 2.06867e-10 5.31041e-10 5.70701e-11 7.16531e-11 5.65548e-11 4.68140e-11 -4.01856e-10
# precision: tgt 5.00e-03 max 2.20e-03 (44.0%) avg 7.61e-05 (1.5%)
-1.03644e-02 8.70495e-05 2.42928e-05 2.39643e-04 -2.32803e-07 -1.83233e-07 -7.44995e-07 4.62077e-08 7.22163e-07 2.86643e-08 1.99315e-10 2.84155e-10 6.59756e-10 -5.01319e-11 1.53599e-09 -1.51854e-10 -9.64581e-11 7.15795e-10 -3.32259e-11 4.60614e-10
# precision: tgt 5.00e-03 max 2.25e-03 (45.0%) avg 4.74e-05 (0.9%)
5.01973e+00 -1.32730e-04 -3.86581e-05 1.34204e-04 1.08208e-06 5.01809e-07 -4.89167e-07 9.53051e-07 -4.80791e-07 -1.44510e-06 -2.44300e-10 -7.44706e-10 5.08816e-10 -4.69765e-10 9.85721e-10 8.23597e-13 -1.81662e-10 3.63809e-10 3.13823e-11 -4.13896e-10

#tofext5k_z11_q2
3 11 1 20
# precision: tgt 5.00e-03 max 2.92e-03 (58.4%) avg 3.47e-05 (0.7%)
-2.59887e-02 -1.19691e-04 1.24934e-04 -3.64029e-05 -2.46949e-07 5.08206e-07 1.21573e-06 -2.20378e-07 1.25884e-07 1.11249e-09 -1.57499e-10 5.10271e-10 -3.28280e-10 -4.75361e-10 3.79383e-10 3.18527e-10 1.28419e-10 -1.10842e-10 5.45308e-11 -1.59888e-10
# precision: tgt 5.00e-03 max 2.41e-03 (48.2%) avg 3.85e-05 (0.8%)
8.63626e-04 3.29515e-05 1.73871e-05 4.58308e-05 1.41267e-07 -7.31146e-08 -2.59794e-09 -4.27832e-08 1.41564e-06 -2.06508e-07 1.49472e-10 -2.05537e-10 -3.61564e-11 -3.75395e-11 8.78566e-11 -4.04915e-10 2.11301e-12 1.79424e-10 4.23673e-10 5.11189e-10
# precision: tgt 5.00e-03 max 2.40e-03 (48.0%) avg 8.82e-05 (1.8%)
4.97025e+00 -1.79233e-04 2.43555e-04 -1.52527e-04 5.32101e-07 6.77855e-07 -5.49949e-07 4.44499e-07 5.28936e-07 -1.42152e-06 -2.86963e-11 4.71016e-10 -5.29906e-10 -5.81692e-10 1.12809e-09 9.24715e-11 9.86785e-11 -4.14827e-10 -4.54936e-11 -8.80220e-11

#tofext5k_z11_q3
3 11 2 20
# precision: tgt 5.00e-03 max 2.16e-03 (43.2%) avg 3.71e-04 (7.4%)
2.04143e-01 1.41144e-03 1.15900e-03 -3.99685e-05 3.12929e-06 5.05822e-06 1.34291e-06 2.14334e-06 -2.38576e-07 9.98240e-08 2.29887e-09 5.54605e-09 -4.68335e-11 4.44627e-09 -3.36460e-10 4.07564e-10 1.32327e-09 -3.94309e-10 -3.46181e-11 -1.19107e-09
# precision: tgt 5.00e-03 max 4.51e-03 (90.1%) avg 4.07e-04 (8.1%)
3.92876e-01 2.66165e-03 2.09558e-03 6.02724e-05 5.98010e-06 9.19582e-06 -7.39930e-08 3.67111e-06 1.53853e-06 2.01993e-08 4.43978e-09 1.01340e-08 -2.89543e-10 7.88673e-09 1.31921e-10 2.33892e-11 2.13065e-09 1.24466e-10 3.67000e-10 -1.53751e-10
# precision: tgt 5.00e-03 max 3.40e-03 (68.0%) avg 6.88e-05 (1.4%)
4.94039e+00 -4.41370e-04 -3.68685e-04 -1.00228e-04 -1.15172e-07 -1.73889e-06 -4.19142e-07 -9.27580e-08 -4.11398e-07 -1.60655e-06 -4.82375e-10 -1.83594e-09 -5.10124e-10 -1.67389e-09 -8.99302e-10 -3.58414e-10 -5.24647e-10 -4.07756e-10 -1.15922e-10 -4.70412e-11

#tofext5k_z11_q4
3 11 3 20
# precision: tgt 5.00e-03 max 3.41e-03 (68.2%) avg 5.00e-04 (10.0%)
4.08514e-01 -2.60825e-03 1.87895e-03 3.68026e-05 5.39570e-06 -8.71599e-06 1.36828e-06 2.33144e-06 2.24075e-07 8.02989e-08 -3.60407e-09 9.74424e-09 6.99334e-11 -6.33527e-09 -2.94545e-10 -2.55383e-11 4.59837e-10 2.89425e-10 9.67484e-11 -1.67103e-10
# precision: tgt 5.00e-03 max 3.49e-03 (69.8%) avg 4.46e-04 (8.9%)
-5.98880e-01 3.94386e-03 -3.18076e-03 8.97977e-05 -8.56235e-06 1.39178e-05 -9.37813e-08 -5.44418e-06 1.58489e-06 -1.05547e-07 6.10930e-09 -1.53314e-08 -6.47307e-11 1.15968e-08 -3.26081e-10 1.73617e-10 -3.07361e-09 6.20590e-11 8.18520e-11 4.70886e-10
# precision: tgt 5.00e-03 max 1.91e-03 (38.3%) avg 7.69e-05 (1.5%)
4.97907e+00 2.43247e-04 -1.34003e-04 6.46245e-05 1.06039e-07 9.06328e-07 -2.06471e-07 3.48076e-07 2.04890e-07 -1.58645e-06 4.83404e-10 -1.19137e-09 2.47341e-10 8.00949e-10 -3.41801e-10 3.12035e-10 -2.81858e-10 1.28984e-10 -7.47347e-11 -4.96398e-11

#tofext5k_z12_q1
3 12 0 20
# precision: tgt 5.00e-03 max 3.10e-03 (62.0%) avg 7.10e-05 (1.4%)
-5.10459e-02 2.86121e-04 2.53667e-04 -7.01939e-06 -4.72670e-07 -1.00202e-06 1.45100e-06 -4.11383e-07 5.41278e-08 2.19743e-08 1.78438e-10 9.59821e-10 1.30989e-10 8.33663e-10 -2.39213e-11 -5.75010e-11 1.91520e-10 -1.12914e-10 5.90282e-11 -2.06665e-11
# precision: tgt 5.00e-03 max 2.08e-03 (41.7%) avg 6.99e-05 (1.4%)
-6.01521e-02 3.51082e-04 3.32637e-04 6.81591e-05 -6.66764e-07 -1.31724e-06 -1.36614e-07 -5.53765e-07 1.24405e-06 3.07222e-07 4.05928e-10 1.26793e-09 2.04270e-10 1.11083e-09 5.29005e-10 -9.05554e-10 2.64080e-10 3.48808e-10 -3.47001e-10 3.56066e-10
# precision: tgt 5.00e-03 max 2.21e-03 (44.1%) avg 8.34e-05 (1.7%)
4.97976e+00 8.08027e-05 1.79300e-04 1.05019e-04 7.32585e-07 -3.11950e-07 -3.94353e-07 5.74183e-07 -3.97847e-07 -1.43861e-06 -8.39962e-11 -1.99752e-11 4.54077e-10 2.65639e-10 8.14515e-10 -8.34719e-11 2.53616e-11 3.29013e-10 -1.90499e-11 1.12342e-11

#tofext5k_z12_q2
3 12 1 20
# precision: tgt 5.00e-03 max 2.85e-03 (57.1%) avg 3.13e-05 (0.6%)
1.37770e-02 1.21212e-04 -7.54035e-05 -5.71893e-05 2.31995e-07 -3.34607e-07 1.15428e-06 9.03989e-08 1.86961e-07 1.53399e-08 1.54076e-10 -3.56536e-10 -3.70424e-10 2.20031e-10 4.97800e-10 2.96494e-10 -1.17555e-11 -1.29865e-10 -2.26672e-11 -9.79507e-11
# precision: tgt 5.00e-03 max 2.03e-03 (40.5%) avg 6.34e-05 (1.3%)
-1.49693e-02 -5.68648e-05 1.34321e-04 4.97114e-05 -3.66106e-08 3.52160e-07 1.72187e-08 -3.11911e-07 1.36178e-06 2.38747e-08 2.36502e-11 1.71334e-10 1.52774e-11 -5.34634e-10 -7.22721e-11 2.42925e-10 1.97540e-10 2.10394e-10 2.27640e-10 3.59032e-10
# precision: tgt 5.00e-03 max 2.17e-03 (43.5%) avg 4.41e-05 (0.9%)
5.02266e+00 8.41234e-05 -3.31448e-05 -1.70338e-04 9.25648e-07 -3.12845e-07 -6.22612e-07 9.05974e-07 5.90248e-07 -1.47453e-06 1.23458e-10 -3.53364e-10 -5.87442e-10 2.96429e-10 1.27456e-09 4.34466e-11 -1.40510e-10 -4.53801e-10 2.56372e-11 7.51222e-11

#tofext5k_z12_q3
3 12 2 20
# precision: tgt 5.00e-03 max 2.17e-03 (43.4%) avg 3.79e-04 (7.6%)
2.19938e-01 1.49246e-03 1.25691e-03 -2.88413e-05 3.26459e-06 5.39695e-06 1.31557e-06 2.32689e-06 -2.55125e-07 -2.51605e-07 2.37771e-09 5.80964e-09 -1.26006e-10 4.79939e-09 -4.35274e-10 1.63252e-11 1.42035e-09 -4.29412e-10 -2.83146e-10 6.43706e-10
# precision: tgt 5.00e-03 max 4.55e-03 (90.9%) avg 4.11e-04 (8.2%)
4.05933e-01 2.75718e-03 2.14727e-03 6.14678e-06 6.19134e-06 9.47239e-06 -2.86511e-07 3.74524e-06 1.40522e-06 3.09244e-08 4.58020e-09 1.04888e-08 -4.38663e-10 8.05664e-09 -2.13046e-10 2.98899e-10 2.18509e-09 4.23970e-11 1.33034e-10 3.11244e-10
# precision: tgt 5.00e-03 max 3.58e-03 (71.6%) avg 5.69e-05 (1.1%)
4.95946e+00 -3.39605e-04 -2.58035e-04 -1.07337e-05 6.11665e-08 -1.29972e-06 1.22881e-08 1.14482e-07 -2.33256e-08 -1.61029e-06 -3.80999e-10 -1.41726e-09 1.46619e-11 -1.22636e-09 -1.04019e-10 -3.89816e-10 -3.98766e-10 2.08553e-11 -1.62896e-10 -7.79313e-11

#tofext5k_z12_q4
3 12 3 20
# precision: tgt 5.00e-03 max 3.45e-03 (69.1%) avg 4.99e-04 (10.0%)
3.92113e-01 -2.51973e-03 1.78374e-03 3.05954e-05 5.24450e-06 -8.37060e-06 1.31396e-06 2.16909e-06 2.81409e-07 3.28673e-07 -3.51766e-09 9.45696e-09 1.38753e-10 -6.01067e-09 -4.67434e-10 -1.64770e-10 3.84638e-10 3.54917e-10 2.31712e-10 -8.35544e-10
# precision: tgt 5.00e-03 max 3.61e-03 (72.3%) avg 4.50e-04 (9.0%)
-6.11143e-01 4.00303e-03 -3.25245e-03 6.33563e-05 -8.64894e-06 1.41616e-05 -4.35455e-08 -5.56761e-06 1.54890e-06 9.94259e-08 6.14650e-09 -1.55145e-08 -5.02895e-11 1.18375e-08 -2.62773e-10 -1.39034e-10 -3.12995e-09 5.65657e-11 1.12377e-10 -2.28992e-10
# precision: tgt 5.00e-03 max 1.67e-03 (33.3%) avg 6.96e-05 (1.4%)
4.93812e+00 4.61404e-04 -3.44169e-04 1.62208e-04 -2.55831e-07 1.68650e-06 -5.70143e-07 -1.61992e-09 5.34052e-07 -1.62859e-06 6.59637e-10 -1.88813e-09 5.75439e-10 1.46281e-09 -1.02273e-09 3.25688e-10 -4.74063e-10 3.84999e-10 -1.01005e-10 1.07209e-10

#tofext5k_z13_q1
3 13 0 20
# precision: tgt 5.00e-03 max 3.32e-03 (66.3%) avg 1.42e-04 (2.8%)
-2.07840e-01 8.35391e-04 7.93865e-04 1.42253e-03 -8.87589e-07 -2.07742e-06 -3.04425e-06 -7.83447e-07 -4.41331e-06 -2.60307e-06 4.06424e-11 9.09290e-10 4.06705e-09 7.15170e-10 8.65878e-09 1.36965e-09 -2.66385e-11 4.12026e-09 4.97441e-10 6.23843e-09
# precision: tgt 5.00e-03 max 2.83e-03 (56.7%) avg 1.46e-04 (2.9%)
-1.50183e-01 9.96640e-04 8.98800e-04 -2.47882e-04 -1.69255e-06 -3.28291e-06 -2.15022e-06 -1.41487e-06 -1.40045e-07 5.91356e-06 8.50478e-10 2.83457e-09 2.27515e-09 2.62450e-09 3.16203e-09 9.92655e-10 6.99186e-10 1.20383e-09 1.46805e-09 -1.69851e-08
# precision: tgt 5.00e-03 max 2.30e-03 (46.0%) avg 9.33e-05 (1.9%)
5.06430e+00 -1.46410e-04 -6.37831e-05 -9.67943e-04 9.48882e-07 2.43901e-07 1.18784e-06 8.17063e-07 1.31161e-06 3.91230e-06 -1.01377e-10 -1.74014e-10 -9.45751e-10 5.71783e-11 -2.37681e-09 3.67798e-10 -3.51678e-11 -8.74391e-10 -4.59626e-10 -1.57315e-08

#tofext5k_z13_q2
3 13 1 20
# precision: tgt 5.00e-03 max 2.91e-03 (58.2%) avg 1.19e-04 (2.4%)
1.95123e-01 6.88264e-04 -6.92610e-04 -1.86255e-03 7.28380e-07 -1.71408e-06 -2.53926e-06 7.05789e-07 4.19379e-06 6.87031e-06 7.98369e-11 -6.56997e-10 -3.74341e-09 6.16403e-10 7.82765e-09 9.63274e-10 4.11312e-12 -3.92036e-09 -1.06882e-09 -1.71068e-08
# precision: tgt 5.00e-03 max 2.27e-03 (45.3%) avg 1.27e-04 (2.5%)
-1.04520e-01 -6.49024e-04 6.09587e-04 9.69097e-05 -1.02438e-06 2.06682e-06 2.15074e-06 -1.03486e-06 1.02108e-07 2.82004e-06 -4.29899e-10 1.62103e-09 2.24637e-09 -1.89402e-09 -2.31654e-09 -2.12833e-09 6.25250e-10 5.37132e-10 2.78932e-09 -1.04952e-08
# precision: tgt 5.00e-03 max 2.15e-03 (42.9%) avg 1.41e-04 (2.8%)
4.82854e+00 -5.54167e-04 5.58562e-04 1.79577e-03 2.49664e-07 1.13407e-06 3.58047e-06 4.26289e-07 -3.65689e-06 -7.68520e-06 1.78960e-11 1.11020e-10 3.13712e-09 4.02133e-11 -7.26856e-09 2.43095e-10 -2.26012e-10 3.25501e-09 7.11568e-11 1.47479e-08

#tofext5k_z13_q3
3 13 2 20
# precision: tgt 5.00e-03 max 2.47e-03 (49.4%) avg 3.96e-04 (7.9%)
3.67019e-01 2.11077e-03 1.86477e-03 -9.44898e-04 3.88779e-06 6.94137e-06 -2.47329e-06 3.03671e-06 -3.42661e-06 2.41604e-07 2.32290e-09 6.29009e-09 -4.16589e-09 5.51669e-09 -7.16442e-09 3.21755e-10 1.58477e-09 -3.21645e-09 -7.43925e-11 -6.27479e-10
# precision: tgt 5.00e-03 max 4.48e-03 (89.7%) avg 4.25e-04 (8.5%)
3.30844e-01 2.45924e-03 1.86908e-03 4.74004e-04 5.86458e-06 8.68770e-06 1.27992e-06 3.49079e-06 2.75403e-06 -2.78765e-07 4.48346e-09 1.01199e-08 7.32741e-10 7.66097e-09 2.57431e-09 -2.51795e-10 2.17792e-09 8.34847e-10 -2.72420e-10 1.19873e-10
# precision: tgt 5.00e-03 max 3.51e-03 (70.1%) avg 1.06e-04 (2.1%)
4.86638e+00 -5.87198e-04 -4.21069e-04 1.10135e-03 -1.58384e-07 -1.80571e-06 1.76888e-06 1.43320e-07 1.22064e-06 -5.75331e-06 -5.03106e-10 -1.70249e-09 4.95360e-10 -1.40677e-09 2.26902e-09 -2.02762e-09 -4.01964e-10 -7.82497e-10 -2.11986e-09 7.55845e-09

#tofext5k_z13_q4
3 13 3 20
# precision: tgt 5.00e-03 max 3.71e-03 (74.2%) avg 4.90e-04 (9.8%)
4.68645e-01 -2.94767e-03 2.14992e-03 -1.38342e-04 5.87283e-06 -9.54415e-06 3.19933e-06 2.65908e-06 -1.24015e-06 -2.42134e-06 -3.76664e-09 1.03030e-08 -1.72923e-09 -6.77029e-09 2.65248e-09 5.04922e-11 6.24734e-10 -6.52450e-10 4.62754e-10 7.27490e-09
# precision: tgt 5.00e-03 max 3.53e-03 (70.6%) avg 4.53e-04 (9.1%)
-5.66129e-01 3.76199e-03 -3.01907e-03 -5.26241e-05 -8.20441e-06 1.32592e-05 3.81699e-08 -5.11230e-06 1.52501e-06 1.03997e-06 5.94681e-09 -1.47046e-08 -5.78426e-10 1.10399e-08 2.28294e-10 9.76459e-10 -2.84844e-09 -2.60404e-10 -8.82580e-10 -4.06972e-09
# precision: tgt 5.00e-03 max 2.81e-03 (56.2%) avg 9.74e-05 (1.9%)
4.96834e+00 3.01079e-04 -1.77112e-04 -5.96689e-05 -3.55657e-08 1.34444e-06 5.72636e-07 2.08185e-07 -8.35339e-07 -1.38523e-06 6.98844e-10 -1.89738e-09 -1.49725e-09 1.52212e-09 1.99445e-09 1.95800e-09 -5.23242e-10 -1.85695e-09 -1.09012e-09 -2.97646e-09

#tofext5k_z14_q1
3 14 0 20
# precision: tgt 5.00e-03 max 2.87e-03 (57.4%) avg 1.01e-04 (2.0%)
-9.52076e-02 4.46846e-04 4.27691e-04 8.31968e-05 -5.49255e-07 -1.55291e-06 1.14526e-06 -4.93167e-07 -2.99261e-07 -2.46761e-07 -2.02163e-11 1.18186e-09 7.62706e-10 1.13582e-09 7.37167e-10 -4.64925e-11 -7.11604e-11 6.17136e-10 -7.77276e-11 3.88519e-10
# precision: tgt 5.00e-03 max 2.75e-03 (55.0%) avg 1.72e-04 (3.4%)
-2.55519e-01 1.40673e-03 1.28825e-03 4.67852e-04 -2.53696e-06 -5.07514e-06 -1.15033e-06 -2.28717e-06 1.01529e-06 -1.33122e-06 1.42156e-09 4.88393e-09 9.63957e-10 4.52224e-09 9.23541e-10 1.62503e-09 1.30841e-09 4.77444e-10 5.73491e-10 1.11057e-09
# precision: tgt 5.00e-03 max 2.00e-03 (40.1%) avg 6.28e-05 (1.3%)
4.96594e+00 1.58248e-04 2.30678e-04 1.01386e-04 6.11104e-07 -4.39617e-07 -5.17872e-07 5.65113e-07 -5.48207e-07 -1.22964e-06 -2.54480e-11 3.62006e-11 6.42912e-10 2.05151e-10 1.18437e-09 -2.32658e-10 8.09804e-12 4.30493e-10 -1.29993e-10 -6.49459e-10

#tofext5k_z14_q2
3 14 1 20
# precision: tgt 5.00e-03 max 2.63e-03 (52.6%) avg 1.02e-04 (2.0%)
1.19287e-01 4.73403e-04 -5.17918e-04 -3.86854e-04 6.10514e-07 -1.76623e-06 1.25034e-06 6.09360e-07 7.38926e-07 1.45133e-06 8.66484e-11 -1.24083e-09 -9.16414e-10 1.30921e-09 1.53533e-09 -1.46432e-09 2.69855e-11 -9.76014e-10 -4.01851e-11 -2.80707e-09
# precision: tgt 5.00e-03 max 2.38e-03 (47.7%) avg 1.58e-04 (3.2%)
-2.42479e-01 -1.31663e-03 1.28459e-03 3.68711e-04 -2.33867e-06 5.00692e-06 7.25622e-07 -2.44222e-06 1.44182e-06 -1.25643e-06 -1.19647e-09 4.53541e-09 1.30230e-09 -4.60786e-09 -1.59621e-09 6.97296e-10 1.43361e-09 7.62660e-10 -1.64190e-09 2.95343e-09
# precision: tgt 5.00e-03 max 2.23e-03 (44.5%) avg 8.41e-05 (1.7%)
4.96522e+00 -2.20037e-04 2.03355e-04 -3.25359e-05 4.61370e-07 6.98026e-07 -2.26378e-07 7.19216e-07 1.81216e-07 -1.78213e-06 -6.54031e-11 6.48875e-10 -4.21204e-10 -3.86051e-10 6.31442e-10 -3.36977e-10 -2.62674e-10 -7.14222e-11 1.28309e-10 1.19602e-10

#tofext5k_z14_q3
3 14 2 20
# precision: tgt 5.00e-03 max 2.90e-03 (58.0%) avg 3.95e-04 (7.9%)
3.17731e-01 1.79789e-03 1.76446e-03 -2.77453e-04 3.53633e-06 6.92463e-06 1.50849e-06 3.13332e-06 -7.87692e-07 8.66660e-07 2.25760e-09 6.76230e-09 -4.29465e-10 6.28338e-09 -9.81599e-10 -1.25822e-09 1.73324e-09 -8.88898e-10 5.86170e-10 -1.26305e-09
# precision: tgt 5.00e-03 max 3.68e-03 (73.6%) avg 4.21e-04 (8.4%)
3.47073e-01 2.52555e-03 1.85796e-03 1.71818e-04 5.89831e-06 8.63055e-06 4.96611e-08 3.46599e-06 2.18819e-06 -1.89354e-07 4.37268e-09 9.79845e-09 -7.88208e-10 7.25485e-09 -2.24981e-10 -9.05760e-10 2.17045e-09 -2.06208e-10 -2.43253e-09 -5.83791e-10
# precision: tgt 5.00e-03 max 2.62e-03 (52.4%) avg 6.78e-05 (1.4%)
4.93192e+00 -4.85773e-04 -2.85582e-04 2.74601e-04 -1.50971e-07 -1.49666e-06 8.15472e-07 2.47802e-07 2.84531e-07 -2.46160e-06 -4.82724e-10 -1.65891e-09 3.04255e-10 -1.14101e-09 5.85823e-10 -1.54226e-09 -2.15643e-10 -2.97262e-10 -8.35643e-10 7.67586e-10

#tofext5k_z14_q4
3 14 3 20
# precision: tgt 5.00e-03 max 3.44e-03 (68.7%) avg 4.74e-04 (9.5%)
4.00077e-01 -2.71524e-03 1.93692e-03 3.10939e-04 5.69601e-06 -9.25171e-06 1.11955e-06 2.54848e-06 6.44562e-07 -9.55827e-07 -3.83786e-09 1.06175e-08 6.21831e-10 -6.94596e-09 -1.13459e-09 -5.30096e-10 7.09674e-10 7.93126e-10 5.31361e-11 1.76084e-09
# precision: tgt 5.00e-03 max 3.56e-03 (71.2%) avg 4.50e-04 (9.0%)
-5.41584e-01 3.53621e-03 -2.86511e-03 8.03249e-05 -7.67240e-06 1.22839e-05 -2.18784e-07 -4.58893e-06 2.50097e-06 7.33328e-07 5.57491e-09 -1.34563e-08 -1.03053e-10 9.86134e-09 -1.21246e-09 -5.74403e-10 -2.34200e-09 5.07980e-10 -1.28512e-09 -1.22034e-09
# precision: tgt 5.00e-03 max 2.77e-03 (55.4%) avg 8.67e-05 (1.7%)
4.88771e+00 7.08178e-04 -5.18907e-04 4.16631e-04 -6.10419e-07 2.23266e-06 -1.49112e-06 -1.47910e-07 1.11769e-06 -1.88622e-06 7.99382e-10 -2.20294e-09 1.30160e-09 1.69282e-09 -2.27828e-09 9.53236e-10 -5.22327e-10 2.50710e-10 -8.92454e-10 -2.89543e-10

#tofext5k_z15_q1
3 15 0 20
# precision: tgt 5.00e-03 max 3.03e-03 (60.6%) avg 1.65e-04 (3.3%)
-1.37986e-01 7.38921e-04 7.71947e-04 -7.98262e-05 -1.12377e-06 -2.83001e-06 1.34335e-06 -1.14974e-06 -3.14214e-07 3.53325e-07 3.48779e-10 2.35222e-09 6.92890e-10 2.43672e-09 6.13545e-10 -3.15868e-10 2.93706e-10 6.45360e-10 8.23862e-11 -4.75116e-10
# precision: tgt 5.00e-03 max 3.19e-03 (63.8%) avg 2.13e-04 (4.3%)
-2.13767e-01 1.49550e-03 1.44594e-03 -4.06912e-04 -3.00096e-06 -6.07663e-06 4.87718e-07 -2.83040e-06 1.98920e-06 1.13601e-06 1.70282e-09 6.06649e-09 5.49777e-10 5.70557e-09 -1.32493e-10 -1.24748e-09 1.76450e-09 1.51958e-11 -5.12737e-10 -9.79623e-10
# precision: tgt 5.00e-03 max 2.14e-03 (42.9%) avg 9.92e-05 (2.0%)
4.96673e+00 2.35435e-04 3.28533e-04 -1.41649e-04 3.48099e-07 -1.01221e-06 2.55209e-07 2.88921e-07 2.27536e-09 -9.68471e-07 1.40317e-10 7.44142e-10 2.19977e-10 8.76570e-10 2.09647e-10 -8.60640e-10 1.96994e-10 1.01385e-10 -3.14589e-10 -7.05047e-10

#tofext5k_z15_q2
3 15 1 20
# precision: tgt 5.00e-03 max 2.75e-03 (55.0%) avg 1.14e-04 (2.3%)
9.37527e-02 7.42789e-04 -6.91219e-04 5.02112e-04 1.06277e-06 -2.54213e-06 8.03625e-07 8.52460e-07 5.67996e-07 -2.61540e-06 4.19661e-10 -2.04702e-09 -7.81107e-10 1.96846e-09 1.24947e-09 1.52040e-10 2.27158e-12 -9.17981e-10 6.09352e-11 3.81635e-09
# precision: tgt 5.00e-03 max 3.39e-03 (67.8%) avg 2.14e-04 (4.3%)
-2.66533e-01 -1.78527e-03 1.78762e-03 -4.38415e-04 -3.20904e-06 6.81282e-06 6.23346e-07 -3.30235e-06 1.00745e-06 2.44034e-06 -1.66921e-09 6.35473e-09 1.16036e-09 -6.32101e-09 -1.13125e-09 3.14357e-10 1.98226e-09 6.34228e-10 1.11692e-10 -3.40976e-09
# precision: tgt 5.00e-03 max 2.18e-03 (43.6%) avg 7.44e-05 (1.5%)
4.97748e+00 -1.35479e-04 1.30672e-04 2.92244e-06 6.73744e-07 2.88610e-07 9.99257e-08 8.87096e-07 -1.09594e-07 -1.54126e-06 7.80977e-11 1.21257e-10 -1.26669e-10 5.24291e-11 6.83351e-12 -3.10877e-10 -3.74494e-10 1.53944e-10 9.84260e-11 -2.34863e-10

#tofext5k_z15_q3
3 15 2 20
# precision: tgt 5.00e-03 max 3.24e-03 (64.8%) avg 4.09e-04 (8.2%)
2.99554e-01 2.00218e-03 1.93209e-03 4.06216e-04 3.73414e-06 7.44080e-06 7.55717e-07 3.38107e-06 -8.64215e-07 -2.47143e-06 2.30472e-09 6.99816e-09 -7.98921e-10 6.66568e-09 -1.52559e-09 -1.69259e-11 1.75496e-09 -1.22149e-09 6.32980e-11 3.71663e-09
# precision: tgt 5.00e-03 max 4.22e-03 (84.3%) avg 4.47e-04 (8.9%)
3.66642e-01 2.87870e-03 2.12154e-03 5.01753e-04 6.49783e-06 9.48911e-06 -8.37405e-07 3.75962e-06 1.23411e-06 -2.36366e-06 4.65261e-09 1.07105e-08 -1.35616e-09 7.77577e-09 -7.80120e-10 4.95723e-10 2.32940e-09 -4.76426e-10 -4.96936e-10 3.65548e-09
# precision: tgt 5.00e-03 max 4.50e-03 (89.9%) avg 9.99e-05 (2.0%)
4.82735e+00 -9.57803e-04 -6.34799e-04 5.35653e-04 -7.81291e-07 -2.70243e-06 1.70962e-06 -1.48524e-08 9.58449e-07 -2.41239e-06 -6.51150e-10 -2.50016e-09 1.22607e-09 -1.68756e-09 2.18485e-09 -1.29724e-09 -2.33941e-10 -1.33149e-10 -9.52417e-10 4.77424e-10

#tofext5k_z15_q4
3 15 3 20
# precision: tgt 5.00e-03 max 3.88e-03 (77.5%) avg 4.75e-04 (9.5%)
3.41781e-01 -2.19668e-03 1.44929e-03 -2.50152e-05 4.80982e-06 -7.50728e-06 4.98389e-07 1.68777e-06 9.21223e-07 8.58511e-07 -3.41171e-09 9.18082e-09 1.34169e-09 -5.45957e-09 -1.83428e-09 9.95301e-11 3.42437e-10 1.41612e-09 1.87819e-10 -1.22112e-09
# precision: tgt 5.00e-03 max 3.42e-03 (68.5%) avg 4.29e-04 (8.6%)
-5.33985e-01 3.24645e-03 -2.64686e-03 3.97602e-04 -7.06593e-06 1.14804e-05 4.04835e-07 -4.20303e-06 1.81978e-06 -1.27301e-06 5.26222e-09 -1.26040e-08 -9.18710e-10 9.30196e-09 -3.19249e-10 -7.58961e-10 -2.05417e-09 3.20305e-11 -5.00776e-10 2.13783e-09
# precision: tgt 5.00e-03 max 4.87e-03 (97.4%) avg 1.40e-04 (2.8%)
4.77013e+00 1.36535e-03 -1.01916e-03 4.38659e-04 -1.67027e-06 4.31145e-06 -1.77758e-06 -7.84226e-07 1.06206e-06 -1.75261e-06 1.25843e-09 -4.14392e-09 1.57636e-09 3.22017e-09 -2.48833e-09 9.82726e-10 -8.14994e-10 -1.89653e-10 -9.29348e-10 -4.50139e-10

#tofext5k_z16_q1
3 16 0 20
# precision: tgt 5.00e-03 max 3.43e-03 (68.6%) avg 2.83e-04 (5.7%)
-5.98393e-01 3.06478e-03 3.47160e-03 6.06963e-04 -4.76297e-06 -1.10688e-05 -1.47108e-06 -5.79675e-06 -3.84815e-06 -1.50785e-07 1.59892e-09 7.90132e-09 4.98804e-09 9.22948e-09 6.75784e-09 -4.72453e-10 2.17954e-09 5.46826e-09 8.71057e-10 -2.34778e-10
# precision: tgt 5.00e-03 max 3.44e-03 (68.8%) avg 2.28e-04 (4.6%)
-7.53419e-02 1.14399e-03 5.39226e-04 -1.98180e-04 -2.62417e-06 -2.98955e-06 -1.42425e-06 -8.79796e-07 1.12120e-06 5.10091e-07 9.87977e-10 3.36719e-09 3.84498e-09 1.24805e-09 2.11675e-09 6.81929e-11 -7.99599e-11 2.46196e-09 -4.24908e-10 -7.53358e-10
# precision: tgt 5.00e-03 max 3.52e-03 (70.4%) avg 1.57e-04 (3.1%)
4.71740e+00 1.90984e-03 1.78942e-03 -5.64810e-04 -2.04036e-06 -6.06447e-06 -2.10991e-06 -1.55070e-06 -1.76879e-06 2.88572e-06 1.15996e-09 4.88373e-09 1.35484e-09 4.38420e-09 3.12596e-09 1.08839e-09 5.99912e-10 1.54157e-09 2.11424e-10 -6.81809e-09

#tofext5k_z16_q2
3 16 1 20
# precision: tgt 5.00e-03 max 3.43e-03 (68.6%) avg 2.26e-04 (4.5%)
4.13675e-01 2.51678e-03 -2.80058e-03 2.17321e-04 4.10175e-06 -9.25745e-06 -4.93421e-07 4.67155e-06 2.74712e-06 -1.92275e-06 1.55259e-09 -7.00235e-09 -3.77547e-09 7.93028e-09 4.44904e-09 -2.35780e-10 -1.63250e-09 -4.17222e-09 -1.08260e-09 2.92918e-09
# precision: tgt 5.00e-03 max 2.92e-03 (58.5%) avg 1.96e-04 (3.9%)
2.04019e-03 -9.00238e-04 4.15706e-04 -7.58343e-04 -2.10742e-06 2.45428e-06 9.46320e-07 -8.35879e-07 1.55532e-06 2.22843e-06 -6.17969e-10 2.72670e-09 3.45908e-09 -1.11658e-09 -1.57023e-09 2.78809e-10 -2.15690e-11 2.24581e-09 -8.44818e-10 -2.66902e-09
# precision: tgt 5.00e-03 max 3.78e-03 (75.6%) avg 1.48e-04 (3.0%)
4.65475e+00 -1.15835e-03 1.20018e-03 9.19312e-04 -4.56413e-07 3.78581e-06 1.17152e-06 -3.07414e-07 -1.35871e-06 -2.25646e-06 -4.86995e-10 2.72853e-09 -4.30729e-10 -2.48018e-09 -2.55903e-09 -4.65380e-11 1.05744e-10 2.86047e-10 -2.28518e-10 -2.93290e-10

#tofext5k_z16_q3
3 16 2 20
# precision: tgt 5.00e-03 max 3.60e-03 (72.0%) avg 5.75e-04 (11.5%)
7.02363e-01 3.58279e-03 3.76424e-03 -8.41113e-04 5.57767e-06 1.20384e-05 -2.55369e-06 5.73389e-06 -4.75618e-06 -4.42437e-07 2.56063e-09 9.17532e-09 -4.16856e-09 9.73272e-09 -6.72454e-09 1.29771e-09 2.19376e-09 -4.61619e-09 2.51115e-09 2.07950e-09
# precision: tgt 5.00e-03 max 4.39e-03 (87.8%) avg 4.70e-04 (9.4%)
6.45323e-02 1.95075e-03 6.05475e-04 9.99559e-04 5.89596e-06 5.92820e-06 4.29434e-07 1.79700e-06 4.44303e-06 -1.22665e-06 4.59604e-09 8.99897e-09 -1.41391e-09 4.93334e-09 2.89085e-09 8.35955e-10 1.46898e-09 1.24633e-09 -2.40059e-09 1.33669e-09
# precision: tgt 5.00e-03 max 3.40e-03 (68.0%) avg 2.27e-04 (4.5%)
4.42689e+00 -1.88402e-03 -1.12701e-03 2.80788e-03 -1.65659e-06 -4.30050e-06 4.26386e-06 5.81030e-07 2.89634e-06 -6.75107e-06 -1.32852e-09 -3.87629e-09 9.64032e-10 -1.91291e-09 4.62891e-09 -3.19292e-09 2.25311e-10 -1.86473e-09 -3.05928e-09 3.63056e-09

#tofext5k_z16_q4
3 16 3 20
# precision: tgt 5.00e-03 max 3.61e-03 (72.2%) avg 5.74e-04 (11.5%)
2.34273e-01 -2.07936e-03 1.06700e-03 7.73596e-04 5.29958e-06 -7.86460e-06 -1.47240e-06 1.47280e-06 3.41194e-06 -5.41377e-07 -4.45799e-09 1.13621e-08 4.18940e-09 -6.56431e-09 -5.64851e-09 1.20407e-10 8.19220e-10 4.04377e-09 -1.12223e-09 -2.83783e-11
# precision: tgt 5.00e-03 max 3.74e-03 (74.7%) avg 3.68e-04 (7.4%)
-7.14240e-01 3.68187e-03 -3.51732e-03 8.84095e-04 -7.20445e-06 1.31273e-05 -7.28179e-07 -5.14107e-06 4.40622e-06 -6.67526e-07 5.46089e-09 -1.30603e-08 -1.24997e-09 1.05617e-08 -3.12900e-09 -5.68624e-10 -2.30421e-09 1.18503e-09 -2.26454e-09 6.27235e-10
# precision: tgt 5.00e-03 max 3.36e-03 (67.3%) avg 2.68e-04 (5.4%)
4.47430e+00 2.06610e-03 -1.18475e-03 1.70703e-03 -1.42329e-06 4.11239e-06 -5.28377e-06 1.13051e-06 3.33454e-06 -1.96161e-06 1.11170e-09 -3.28427e-09 8.82651e-10 1.26221e-09 -4.67556e-09 4.87772e-09 8.10151e-10 -2.51492e-09 -4.06683e-09 -2.83340e-09

#tofext5k_z17_q1
3 17 0 20
# precision: tgt 5.00e-03 max 3.62e-03 (72.4%) avg 4.22e-04 (8.4%)
-6.57325e-01 4.29702e-03 4.99695e-03 -1.19295e-03 -6.06684e-06 -1.45119e-05 -4.10876e-06 -7.67154e-06 -6.93985e-06 7.86056e-06 2.16246e-09 9.86405e-09 5.97638e-09 1.22131e-08 8.57359e-09 2.32078e-09 2.71983e-09 6.75834e-09 4.17821e-09 -1.04700e-08
# precision: tgt 5.00e-03 max 4.66e-03 (93.2%) avg 3.19e-04 (6.4%)
6.40932e-02 2.02674e-03 1.04876e-03 -2.41470e-03 -4.12598e-06 -4.77475e-06 -3.24619e-06 -1.60066e-06 -8.65803e-08 8.40612e-06 1.54311e-09 5.37359e-09 5.21798e-09 1.83409e-09 3.52670e-09 1.87724e-09 1.70505e-10 4.00814e-09 2.16641e-10 -9.79801e-09
# precision: tgt 5.00e-03 max 4.67e-03 (93.4%) avg 2.62e-04 (5.2%)
5.20390e+00 2.52261e-03 2.30233e-03 -6.67151e-03 -2.99675e-06 -8.87811e-06 -9.14046e-07 -2.17909e-06 -5.33813e-07 2.18543e-05 1.66317e-09 6.82358e-09 1.16022e-09 5.98505e-09 5.46477e-09 -2.80537e-09 8.29938e-10 1.25351e-09 -3.57545e-09 -2.46044e-08

#tofext5k_z17_q2
3 17 1 20
# precision: tgt 5.00e-03 max 3.67e-03 (73.4%) avg 3.24e-04 (6.5%)
4.72305e-01 3.50742e-03 -4.29588e-03 1.79951e-03 5.41695e-06 -1.28783e-05 -1.44634e-06 6.56426e-06 5.59172e-06 -8.47561e-06 2.10298e-09 -8.73223e-09 -5.20594e-09 1.05983e-08 8.16223e-09 -1.59275e-09 -2.15122e-09 -6.07843e-09 -2.48887e-09 9.78313e-09
# precision: tgt 5.00e-03 max 3.54e-03 (70.9%) avg 2.72e-04 (5.4%)
-2.52881e-02 -1.42833e-03 7.35926e-04 -8.98031e-04 -3.62910e-06 4.38577e-06 3.73943e-07 -1.75343e-06 1.95082e-06 1.78089e-06 -1.25303e-09 5.07827e-09 4.41363e-09 -2.15282e-09 -2.12940e-09 1.55569e-09 3.94017e-10 3.64174e-09 -2.20076e-09 -1.40935e-09
# precision: tgt 5.00e-03 max 4.73e-03 (94.7%) avg 2.64e-04 (5.3%)
5.08012e+00 -1.66963e-03 1.51964e-03 -4.49448e-03 -1.06256e-06 5.83027e-06 3.11250e-07 -5.97919e-07 -1.04609e-08 1.49320e-05 -3.95772e-10 3.77390e-09 -6.56035e-11 -2.99292e-09 -4.99744e-09 3.29226e-09 1.82794e-12 4.72849e-10 -4.24837e-09 -1.69774e-08

#tofext5k_z17_q3
3 17 2 20
# precision: tgt 5.00e-03 max 3.62e-03 (72.4%) avg 6.64e-04 (13.3%)
1.12805e+00 6.16091e-03 6.40403e-03 -2.99041e-04 9.63125e-06 2.05114e-05 -4.51035e-06 9.31933e-06 -7.48436e-06 -4.23638e-06 3.99218e-09 1.43649e-08 -8.63931e-09 1.51429e-08 -1.45011e-08 -2.44036e-09 3.19379e-09 -7.89710e-09 9.55914e-10 4.85293e-09
# precision: tgt 5.00e-03 max 4.78e-03 (95.6%) avg 5.50e-04 (11.0%)
-4.23480e-01 1.00233e-03 -1.22900e-03 2.98868e-03 5.27140e-06 2.06223e-06 1.19252e-06 -3.13967e-07 7.98836e-06 -5.77192e-06 4.40666e-09 7.43097e-09 -1.64416e-09 1.74296e-09 5.80753e-09 1.30592e-09 9.04153e-10 2.75560e-09 -5.10039e-09 5.96815e-09
# precision: tgt 5.00e-03 max 4.13e-03 (82.6%) avg 4.45e-04 (8.9%)
4.31215e+00 -2.44453e-03 -1.16714e-03 2.25873e-03 -2.87234e-06 -6.05248e-06 2.66110e-06 1.87893e-06 1.90808e-06 -4.09338e-06 -2.02894e-09 -5.31763e-09 1.30166e-09 -1.35049e-09 7.44325e-09 2.43793e-09 1.31225e-09 -3.72339e-09 -6.13316e-11 2.21500e-09

#tofext5k_z17_q4
3 17 3 20
# precision: tgt 5.00e-03 max 3.98e-03 (79.7%) avg 5.66e-04 (11.3%)
-2.49901e-01 6.33544e-04 -1.68353e-03 4.92556e-04 1.94170e-06 -4.46714e-07 -6.16903e-06 -1.60698e-06 8.31895e-06 4.55006e-06 -3.39219e-09 7.14473e-09 8.05610e-09 -1.92595e-09 -1.26297e-08 1.61811e-09 1.46142e-10 6.96702e-09 -3.66080e-09 -6.85154e-09
# precision: tgt 5.00e-03 max 3.96e-03 (79.2%) avg 4.32e-04 (8.6%)
-1.24368e+00 4.83002e-03 -5.59021e-03 3.01717e-03 -8.56985e-06 1.80034e-05 -8.35304e-07 -7.75270e-06 7.99747e-06 -6.08018e-06 6.08094e-09 -1.58032e-08 -1.18451e-09 1.45515e-08 -5.97807e-09 -2.06300e-09 -3.03378e-09 3.22170e-09 -4.92519e-09 6.42852e-09
# precision: tgt 5.00e-03 max 3.72e-03 (74.3%) avg 4.29e-04 (8.6%)
4.69193e+00 2.70946e-03 -1.34933e-03 -1.53979e-03 -2.97061e-06 5.79980e-06 -4.42189e-06 1.93340e-06 3.17709e-06 8.56069e-06 1.83220e-09 -4.48004e-09 2.73407e-09 5.97533e-10 -8.32544e-09 -4.70966e-10 1.77879e-09 -2.70764e-09 -1.54675e-09 -1.18885e-08

#tofext5k_z18_q1
3 18 0 20
# precision: tgt 5.00e-03 max 4.17e-03 (83.3%) avg 5.24e-04 (10.5%)
-1.09630e+00 6.54040e-03 8.40033e-03 -8.92794e-04 -1.14135e-05 -2.52562e-05 -2.44288e-06 -1.42744e-05 -9.34825e-06 6.28800e-06 4.43808e-09 1.63027e-08 1.20654e-08 2.08724e-08 1.70610e-08 -6.46498e-09 5.21449e-09 1.31272e-08 1.17449e-09 -6.01666e-09
# precision: tgt 5.00e-03 max 5.16e-03 (103.2%) avg 4.59e-04 (9.2%)
1.30486e-01 4.32217e-03 1.91652e-03 -4.28732e-03 -9.61885e-06 -1.17590e-05 -4.07579e-06 -4.84119e-06 3.08448e-06 1.12956e-05 3.56152e-09 1.21168e-08 1.09490e-08 5.71046e-09 7.98802e-09 -9.28139e-10 1.56554e-09 8.08361e-09 -7.16370e-09 -9.75783e-09
# precision: tgt 5.00e-03 max 5.66e-03 (113.2%) avg 3.71e-04 (7.4%)
4.83716e+00 4.04599e-03 3.41224e-03 -6.29043e-03 -3.39177e-06 -1.29944e-05 -3.00188e-06 -1.97984e-06 -1.42147e-06 2.17656e-05 2.77642e-09 1.11376e-08 -4.07702e-09 9.44669e-09 5.18587e-09 3.75288e-10 1.81171e-09 -4.35405e-09 -1.83613e-09 -2.32642e-08

#tofext5k_z18_q2
3 18 1 20
# precision: tgt 5.00e-03 max 3.48e-03 (69.6%) avg 4.41e-04 (8.8%)
5.27190e-01 6.03331e-03 -7.53644e-03 4.11306e-03 1.09120e-05 -2.29450e-05 -2.37959e-06 1.31593e-05 8.29376e-06 -1.39402e-05 4.48483e-09 -1.54544e-08 -1.11816e-08 1.91009e-08 1.46169e-08 -4.86815e-09 -4.62449e-09 -1.26624e-08 -1.30586e-09 1.29420e-08
# precision: tgt 5.00e-03 max 4.16e-03 (83.2%) avg 4.31e-04 (8.6%)
-4.71430e-02 -4.71175e-03 2.48770e-03 -3.47003e-03 -9.71973e-06 1.23805e-05 5.32305e-06 -5.43296e-06 1.47299e-06 9.84683e-06 -3.70135e-09 1.28241e-08 1.01057e-08 -6.86842e-09 -6.57344e-09 -1.77697e-09 1.93318e-09 7.87659e-09 -4.32176e-09 -9.53771e-09
# precision: tgt 5.00e-03 max 4.22e-03 (84.4%) avg 2.89e-04 (5.8%)
4.86185e+00 -3.74492e-03 3.18680e-03 -5.72811e-03 -3.68021e-06 1.25925e-05 2.22017e-06 -2.35640e-06 -7.33372e-07 1.93436e-05 -3.02376e-09 1.13284e-08 -3.88369e-09 -9.82261e-09 -3.64695e-09 -5.98601e-10 2.08045e-09 -4.02537e-09 -1.76362e-09 -2.11528e-08

#tofext5k_z18_q3
3 18 2 20
# precision: tgt 5.00e-03 max 4.84e-03 (96.9%) avg 8.58e-04 (17.2%)
2.34237e+00 1.24654e-02 1.22889e-02 -2.02470e-03 1.91770e-05 3.80437e-05 -1.31249e-05 1.68088e-05 -1.59824e-05 -4.27159e-06 7.75514e-09 2.61272e-08 -1.78114e-08 2.61819e-08 -2.78623e-08 -3.49642e-10 5.09515e-09 -1.48289e-08 4.39898e-09 5.84044e-09
# precision: tgt 5.00e-03 max 6.83e-03 (136.5%) avg 7.08e-04 (14.2%)
-1.05206e+00 -1.54766e-03 -5.53363e-03 2.33906e-03 2.47116e-06 -9.37195e-06 1.57960e-06 -6.75989e-06 1.22493e-05 -1.06363e-06 2.60162e-09 3.41502e-10 -3.15096e-09 -8.81807e-09 1.05859e-08 2.88840e-09 -1.97835e-09 5.37540e-09 -6.23085e-09 1.31634e-09
# precision: tgt 5.00e-03 max 5.58e-03 (111.6%) avg 8.05e-04 (16.1%)
4.09729e+00 -3.85082e-03 -1.51993e-03 1.91342e-03 -4.49085e-06 -6.85667e-06 6.56370e-06 4.53126e-06 5.56964e-06 8.85030e-07 -3.39591e-09 -6.81389e-09 1.41011e-09 1.05907e-09 9.70468e-09 -1.52821e-09 3.74404e-09 -5.14801e-09 -4.54488e-09 -5.14041e-09

#tofext5k_z18_q4
3 18 3 20
# precision: tgt 5.00e-03 max 3.38e-03 (67.5%) avg 4.78e-04 (9.6%)
-1.91400e+00 6.21814e-03 -7.22139e-03 6.46491e-03 -6.45062e-06 1.49578e-05 -1.37386e-05 -8.27096e-06 1.74022e-05 -6.77247e-06 -4.59710e-10 -1.99723e-09 1.78081e-08 7.09191e-09 -2.67737e-08 1.14777e-09 -1.16522e-09 1.43000e-08 -7.13473e-09 2.84067e-09
# precision: tgt 5.00e-03 max 5.27e-03 (105.4%) avg 6.74e-04 (13.5%)
-1.81122e+00 7.69516e-03 -1.00044e-02 1.28388e-03 -1.11401e-05 2.92900e-05 -2.36833e-06 -1.33968e-05 1.31904e-05 2.24723e-06 7.37978e-09 -2.21891e-08 -2.52574e-09 2.35884e-08 -1.20913e-08 -2.76885e-09 -4.99960e-09 6.10209e-09 -6.51123e-09 -1.64442e-09
# precision: tgt 5.00e-03 max 5.87e-03 (117.3%) avg 7.76e-04 (15.5%)
4.14412e+00 4.24001e-03 -1.71555e-03 1.03609e-03 -4.15050e-06 6.58259e-06 -9.06893e-06 5.01448e-06 7.32777e-06 4.80020e-06 3.08727e-09 -5.80369e-09 2.13919e-09 -2.01380e-09 -1.19023e-08 3.15310e-09 3.93631e-09 -5.28775e-09 -5.89670e-09 -9.22021e-09

#tofext5k_z19_q1
3 19 0 20
# precision: tgt 5.00e-03 max 8.10e-03 (162.0%) avg 7.52e-04 (15.0%)
-1.39183e+00 1.09062e-02 1.40407e-02 -4.09652e-03 -1.92523e-05 -4.12127e-05 -4.81363e-06 -2.37930e-05 -1.50131e-05 1.50194e-05 7.35694e-09 2.56405e-08 1.96854e-08 3.29616e-08 2.72401e-08 -9.72700e-09 8.00831e-09 2.18724e-08 1.48343e-09 -1.23490e-08
# precision: tgt 5.00e-03 max 8.04e-03 (160.8%) avg 6.33e-04 (12.7%)
2.92585e-02 1.06675e-02 6.10144e-03 -8.82961e-03 -1.99506e-05 -2.71844e-05 -1.30134e-05 -1.21325e-05 -2.15941e-07 2.41022e-05 6.88363e-09 2.50998e-08 2.04274e-08 1.46504e-08 1.73125e-08 3.23893e-09 4.63338e-09 1.50988e-08 -8.64623e-09 -2.02086e-08
# precision: tgt 5.00e-03 max 4.35e-03 (87.0%) avg 4.30e-04 (8.6%)
6.04914e+00 6.03716e-03 4.86734e-03 -1.81652e-02 -4.57708e-06 -2.03043e-05 -3.01758e-06 -2.62612e-06 5.07643e-07 4.94444e-05 4.70105e-09 1.83488e-08 -1.03432e-08 1.62354e-08 4.01517e-09 1.11553e-09 3.41727e-09 -1.10680e-08 -3.20649e-09 -4.30324e-08

#tofext5k_z19_q2
3 19 1 20
# precision: tgt 5.00e-03 max 6.98e-03 (139.6%) avg 6.77e-04 (13.5%)
1.07564e-01 1.03096e-02 -1.37981e-02 1.27323e-02 1.99677e-05 -4.08951e-05 -1.66203e-06 2.35311e-05 1.46248e-05 -3.47222e-05 8.29800e-09 -2.71037e-08 -1.88443e-08 3.34074e-08 2.42968e-08 -1.19238e-08 -8.16866e-09 -2.07720e-08 -2.69474e-09 2.80005e-08
# precision: tgt 5.00e-03 max 7.52e-03 (150.3%) avg 6.75e-04 (13.5%)
1.36619e+00 -8.25292e-03 4.19279e-03 -1.55435e-02 -1.84089e-05 2.40889e-05 5.97930e-06 -1.15012e-05 5.41898e-06 3.62555e-05 -6.77605e-09 2.36750e-08 1.80654e-08 -1.37575e-08 -1.33677e-08 2.13193e-09 4.60244e-09 1.45394e-08 -1.32827e-08 -2.80118e-08
# precision: tgt 5.00e-03 max 4.45e-03 (88.9%) avg 4.19e-04 (8.4%)
3.47327e+00 -4.86162e-03 3.98801e-03 8.48205e-04 -2.89967e-06 1.73716e-05 1.12227e-06 -1.08851e-06 1.19231e-06 4.71630e-06 -4.46344e-09 1.63279e-08 -1.23786e-08 -1.42379e-08 -2.46564e-09 -9.42427e-12 3.04229e-09 -1.24415e-08 -3.29511e-09 -8.02601e-09

#tofext5k_z19_q3
3 19 2 20
# precision: tgt 5.00e-03 max 1.16e-02 (232.8%) avg 1.50e-03 (30.0%)
4.44762e+00 2.51555e-02 2.39343e-02 -1.97003e-03 3.84373e-05 7.13462e-05 -2.85875e-05 2.93920e-05 -3.34364e-05 -1.39062e-05 1.46716e-08 4.71085e-08 -3.66329e-08 4.39984e-08 -5.45343e-08 1.75167e-10 6.82421e-09 -2.72739e-08 1.11965e-08 1.55187e-08
# precision: tgt 5.00e-03 max 1.17e-02 (234.0%) avg 1.13e-03 (22.6%)
-3.49284e+00 -7.34683e-03 -1.53857e-02 9.12417e-03 -5.01643e-06 -3.59712e-05 4.61959e-07 -2.10719e-05 2.15015e-05 -1.46127e-05 -2.04016e-09 -1.82749e-08 -6.57215e-09 -3.34637e-08 1.74676e-08 6.54172e-09 -8.95013e-09 8.85981e-09 -1.12455e-08 1.28095e-08
# precision: tgt 5.00e-03 max 1.15e-02 (230.8%) avg 1.76e-03 (35.2%)
3.10351e+00 -2.41721e-03 2.20119e-03 9.69668e-03 -2.80066e-06 6.93567e-07 3.88256e-06 1.52915e-05 2.49179e-06 -1.54801e-05 -5.27095e-09 -3.86699e-09 -3.45748e-09 1.17408e-08 9.62971e-09 2.96222e-09 9.21905e-09 -1.42709e-08 -2.01792e-09 8.33239e-09

#tofext5k_z19_q4
3 19 3 20
# precision: tgt 5.00e-03 max 7.36e-03 (147.1%) avg 9.82e-04 (19.6%)
-4.71010e+00 1.89152e-02 -1.80186e-02 1.15148e-02 -2.44509e-05 4.60157e-05 -3.19518e-05 -1.92809e-05 3.39888e-05 -7.89483e-06 5.94685e-09 -2.06650e-08 3.61062e-08 2.21238e-08 -5.48870e-08 4.24117e-09 -2.15517e-09 2.63374e-08 -1.20936e-08 1.11840e-09
# precision: tgt 5.00e-03 max 1.09e-02 (217.6%) avg 1.23e-03 (24.7%)
-2.80214e+00 1.23032e-02 -1.88843e-02 -8.23684e-04 -1.87628e-05 5.58563e-05 4.16538e-06 -2.79946e-05 1.78952e-05 6.74244e-06 1.23669e-08 -4.10840e-08 -6.15332e-09 4.83488e-08 -1.88898e-08 -1.26050e-08 -1.20542e-08 1.02593e-08 -5.90956e-09 -2.04600e-09
# precision: tgt 5.00e-03 max 1.14e-02 (228.9%) avg 1.69e-03 (33.8%)
5.24642e+00 3.53759e-03 1.31028e-03 -6.00089e-03 -3.43376e-06 -2.45243e-07 -8.85164e-06 1.47230e-05 6.46583e-06 2.31129e-05 4.36635e-09 -1.80734e-09 1.07645e-09 -1.38801e-08 -1.57943e-08 -7.83145e-10 1.00225e-08 -1.02421e-08 -3.36837e-09 -2.22998e-08

#tofext5k_z2_q1
3 2 0 20
# precision: tgt 5.00e-03 max 3.87e-03 (77.4%) avg 6.55e-04 (13.1%)
9.47929e-01 -7.19607e-03 -8.07428e-03 -2.32525e-03 1.44648e-05 2.85456e-05 2.25651e-06 1.36762e-05 -4.51873e-06 -6.35647e-06 -7.60916e-09 -2.43928e-08 7.02493e-09 -2.60021e-08 5.25913e-09 6.58521e-09 -5.37091e-09 5.71440e-09 -3.40957e-09 -6.14318e-09
# precision: tgt 5.00e-03 max 4.19e-03 (83.8%) avg 6.13e-04 (12.3%)
-9.91269e-02 -3.38472e-03 -2.03246e-03 -3.35450e-03 7.75357e-06 1.07044e-05 -1.26276e-06 5.89588e-06 4.40023e-06 -7.15605e-06 -3.00340e-09 -1.12574e-08 6.54044e-09 -6.76980e-09 3.95659e-09 1.13381e-09 -2.34250e-09 7.80505e-09 8.81107e-09 -5.36785e-09
# precision: tgt 5.00e-03 max 4.90e-03 (98.1%) avg 3.86e-04 (7.7%)
4.83839e+00 5.62680e-04 3.34706e-04 1.48447e-03 7.56592e-08 -4.19104e-06 -3.10463e-06 1.45633e-06 -2.93250e-06 4.54564e-06 2.08312e-09 6.90567e-09 8.25909e-09 5.04722e-09 5.13659e-09 -7.61991e-10 9.67324e-10 8.27401e-09 -8.44778e-10 5.89925e-09

#tofext5k_z2_q2
3 2 1 20
# precision: tgt 5.00e-03 max 3.22e-03 (64.4%) avg 4.73e-04 (9.5%)
-1.16067e-01 -2.21034e-03 3.63718e-03 2.51212e-03 -5.03358e-06 1.08835e-05 3.16540e-06 -5.88628e-06 3.87491e-06 6.54706e-06 -1.81392e-09 6.41975e-09 -6.16785e-09 -9.58613e-09 5.93290e-09 7.41307e-09 9.05432e-10 -5.86059e-09 1.99137e-09 5.85853e-09
# precision: tgt 5.00e-03 max 3.52e-03 (70.5%) avg 7.22e-04 (14.4%)
5.50300e-01 6.87918e-03 -5.60960e-03 -2.50533e-03 1.54539e-05 -2.61704e-05 7.20385e-07 1.40892e-05 5.12463e-06 -4.68434e-06 8.50199e-09 -2.72988e-08 6.00506e-09 2.31681e-08 -3.03330e-09 -1.05908e-09 -8.27258e-09 7.34498e-09 8.94014e-09 -3.36865e-09
# precision: tgt 5.00e-03 max 4.52e-03 (90.4%) avg 3.37e-04 (6.7%)
4.50131e+00 -2.09337e-03 1.55072e-03 5.04754e-04 -1.63220e-06 7.29316e-06 -5.66663e-08 -3.21299e-07 -8.23065e-07 3.86074e-06 -2.21857e-09 7.97632e-09 5.38415e-09 -6.75090e-09 -4.82336e-10 3.26022e-10 2.08363e-09 6.79307e-09 -9.17434e-10 5.43910e-09

#tofext5k_z2_q3
3 2 2 20
# precision: tgt 5.00e-03 max 4.24e-03 (84.7%) avg 4.20e-04 (8.4%)
8.10104e-01 1.01700e-03 -5.21975e-04 4.53901e-03 -1.78525e-06 -1.21821e-06 7.36908e-06 -3.42966e-06 6.08751e-07 8.43411e-06 2.00200e-10 1.26774e-09 -7.74057e-09 -2.92288e-09 -2.07751e-09 1.20089e-08 1.66895e-10 -7.27622e-09 2.79291e-09 5.78868e-09
# precision: tgt 5.00e-03 max 5.40e-03 (108.0%) avg 3.55e-04 (7.1%)
4.09346e-01 -1.44293e-03 -7.63592e-05 3.28218e-03 -2.17755e-06 -3.18763e-06 -3.94861e-06 -3.79882e-06 5.94063e-06 7.70131e-06 1.70775e-09 -2.58198e-09 -7.02361e-09 -8.94165e-10 -4.09084e-09 -2.45178e-09 -3.04204e-09 -5.60604e-09 1.05373e-08 6.75448e-09
# precision: tgt 5.00e-03 max 5.55e-03 (110.9%) avg 6.88e-04 (13.8%)
5.24428e+00 1.07418e-03 2.39086e-03 2.45429e-03 4.05991e-06 5.31246e-06 1.93657e-06 8.98077e-06 2.29468e-06 8.31290e-06 -5.78077e-10 9.04094e-10 1.06653e-08 6.07750e-09 5.03970e-09 -4.77829e-10 4.37149e-09 1.19505e-08 -1.16877e-09 9.24191e-09

#tofext5k_z2_q4
3 2 3 20
# precision: tgt 5.00e-03 max 7.26e-03 (145.1%) avg 1.09e-03 (21.8%)
7.11114e-01 -8.28899e-03 8.90652e-03 -4.87434e-03 2.00521e-05 -3.63830e-05 8.37738e-06 1.81583e-05 -1.46303e-06 -8.68078e-06 -1.13827e-08 3.51056e-08 7.12817e-09 -3.49673e-08 5.64940e-11 1.22845e-08 7.84909e-09 6.60975e-09 -2.60642e-09 -6.06684e-09
# precision: tgt 5.00e-03 max 6.13e-03 (122.6%) avg 5.59e-04 (11.2%)
-1.56858e-02 5.39218e-03 -2.19565e-03 3.53359e-03 -1.26311e-05 1.52924e-05 3.29159e-06 -7.35032e-06 7.25527e-06 7.39882e-06 6.10560e-09 -1.81468e-08 -8.54284e-09 9.47525e-09 3.77222e-09 1.18778e-09 -4.43971e-09 -6.21078e-09 1.20842e-08 5.99462e-09
# precision: tgt 5.00e-03 max 3.69e-03 (73.8%) avg 6.23e-04 (12.5%)
5.20813e+00 -2.05535e-03 3.15459e-03 1.58808e-03 5.86698e-06 -7.92398e-06 -2.47773e-06 1.05534e-05 2.74359e-06 6.57373e-06 4.39121e-10 2.91499e-09 1.24794e-08 -7.88997e-09 -5.73939e-09 3.44244e-10 4.85014e-09 1.34355e-08 -9.53341e-10 7.83540e-09

#tofext5k_z20_q1
3 20 0 20
# precision: tgt 5.00e-03 max 7.93e-03 (158.7%) avg 1.05e-03 (21.0%)
-1.92056e+00 9.88944e-03 1.28322e-02 1.56340e-04 -1.98279e-05 -4.46262e-05 4.32654e-06 -2.30049e-05 -5.27430e-06 -3.92879e-07 1.01871e-08 3.33821e-08 1.16872e-08 4.31044e-08 1.18845e-08 -1.22979e-08 9.02687e-09 1.03168e-08 5.10356e-10 6.73090e-10
# precision: tgt 5.00e-03 max 7.10e-03 (142.0%) avg 1.04e-03 (20.8%)
-1.95990e+00 9.24175e-03 6.94008e-03 4.60074e-03 -2.37231e-05 -3.82991e-05 5.59903e-06 -1.75067e-05 9.16893e-06 -1.41168e-05 1.14926e-08 4.15858e-08 1.08618e-08 2.80030e-08 8.17391e-09 -1.07258e-08 9.57565e-09 1.19042e-08 -1.61351e-08 1.30846e-08
# precision: tgt 5.00e-03 max 4.91e-03 (98.3%) avg 7.83e-04 (15.7%)
5.80116e+01 1.01031e-03 7.03923e-04 -3.34052e-01 -2.28974e-06 -9.85638e-06 7.72664e-06 1.36485e-07 6.56946e-06 6.93536e-04 4.55376e-09 1.66174e-08 -1.39570e-08 1.42112e-08 -1.36952e-08 -1.33368e-09 3.08262e-09 -1.52462e-08 1.90561e-10 -4.82655e-07

#tofext5k_z20_q2
3 20 1 20
# precision: tgt 5.00e-03 max 7.25e-03 (145.1%) avg 1.01e-03 (20.2%)
2.45410e+00 1.08096e-02 -1.33061e-02 -3.04261e-03 2.09093e-05 -4.54979e-05 1.69880e-06 2.36197e-05 6.58558e-06 5.60026e-06 1.11052e-08 -3.51891e-08 -1.14009e-08 4.40212e-08 1.08985e-08 -8.91593e-09 -9.61992e-09 -1.03303e-08 -2.33423e-09 -3.45186e-09
# precision: tgt 5.00e-03 max 7.10e-03 (141.9%) avg 9.41e-04 (18.8%)
-2.55378e+00 -1.03149e-02 7.61612e-03 7.04598e-03 -2.18895e-05 3.56713e-05 1.51454e-06 -1.57683e-05 3.76778e-06 -1.55528e-05 -1.01011e-08 3.70941e-08 1.11589e-08 -2.39850e-08 -1.12145e-08 4.74176e-09 8.22765e-09 1.23461e-08 -1.19924e-08 1.22763e-08
# precision: tgt 5.00e-03 max 5.16e-03 (103.2%) avg 7.51e-04 (15.0%)
5.32387e+01 -2.81924e-04 1.04575e-03 -3.04029e-01 -2.06447e-06 1.01608e-05 -1.09152e-05 2.31744e-07 5.39265e-06 6.30316e-04 -4.02548e-09 1.46391e-08 -1.24430e-08 -1.25981e-08 9.04813e-09 7.00674e-09 2.71546e-09 -1.37916e-08 -8.84937e-10 -4.37328e-07

#tofext5k_z20_q3
3 20 2 20
# precision: tgt 5.00e-03 max 1.77e-02 (353.4%) avg 2.82e-03 (56.5%)
2.02694e+01 1.44640e-02 1.29763e-02 -1.13819e-01 5.07168e-05 8.35589e-05 3.84960e-05 3.49958e-05 2.80616e-05 2.57065e-04 2.65103e-08 7.65469e-08 -2.60535e-08 6.52435e-08 -2.03351e-08 -5.56938e-08 8.24220e-09 -2.17609e-08 -4.05667e-08 -1.93626e-07
# precision: tgt 5.00e-03 max 1.47e-02 (293.4%) avg 2.16e-03 (43.2%)
1.19471e+01 -1.42119e-02 -2.07000e-02 -9.68166e-02 -1.49891e-05 -6.16275e-05 1.88218e-06 -2.99947e-05 1.53362e-05 2.08026e-04 -9.06442e-09 -4.34221e-08 -1.15665e-08 -6.59973e-08 4.74596e-09 3.01659e-10 -1.75669e-08 -7.64902e-09 -1.53515e-08 -1.44719e-07
# precision: tgt 5.00e-03 max 1.94e-02 (387.2%) avg 3.06e-03 (61.3%)
4.95777e+01 9.41704e-03 1.58472e-02 -2.68021e-01 9.21008e-06 3.45658e-05 -1.26199e-05 3.17193e-05 -1.74352e-05 5.54690e-04 -3.72064e-09 1.29251e-08 -1.59470e-08 3.68299e-08 -1.50969e-08 5.87958e-09 1.95783e-08 -1.81555e-08 9.18260e-09 -3.85297e-07

#tofext5k_z20_q4
3 20 3 20
# precision: tgt 5.00e-03 max 1.10e-02 (219.0%) avg 2.26e-03 (45.1%)
-2.00355e+01 6.57541e-03 -6.90387e-03 1.20001e-01 -3.53928e-05 5.64114e-05 3.94921e-05 -2.51335e-05 -2.69701e-05 -2.69771e-04 1.67449e-08 -4.73019e-08 2.63289e-08 4.18725e-08 -2.21243e-08 -5.72002e-08 -3.60627e-09 2.25748e-08 4.02424e-08 2.02521e-07
# precision: tgt 5.00e-03 max 1.37e-02 (274.0%) avg 2.32e-03 (46.4%)
1.20261e+01 1.98265e-02 -2.44195e-02 -1.02167e-01 -2.87318e-05 8.03433e-05 -7.96451e-07 -3.56376e-05 1.46302e-05 2.18624e-04 2.02662e-08 -6.76803e-08 -1.35158e-08 8.14507e-08 -1.08248e-09 3.06697e-10 -2.04531e-08 -9.29788e-09 -1.63381e-08 -1.52222e-07
# precision: tgt 5.00e-03 max 1.90e-02 (380.7%) avg 2.97e-03 (59.4%)
5.27167e+01 -9.12069e-03 1.60699e-02 -2.88032e-01 1.15230e-05 -3.78590e-05 7.78293e-06 3.41192e-05 -1.49170e-05 5.98511e-04 1.21536e-09 1.86071e-08 -1.38626e-08 -4.22862e-08 1.06844e-08 -3.28898e-09 2.18681e-08 -1.70565e-08 8.62240e-09 -4.16309e-07

#tofext5k_z21_q1
3 21 0 20
# precision: tgt 5.00e-03 max 9.46e-03 (189.2%) avg 9.76e-04 (19.5%)
-5.27906e+00 2.36237e-02 2.45083e-02 6.40992e-03 -2.22279e-05 -5.15044e-05 -4.15532e-05 -2.24211e-05 -4.44444e-05 8.16637e-06 1.08411e-08 3.13690e-08 1.69032e-08 4.05904e-08 2.88245e-08 2.39344e-08 6.06079e-09 1.36726e-08 3.05821e-08 -1.47394e-08
# precision: tgt 5.00e-03 max 1.41e-02 (281.0%) avg 1.63e-03 (32.6%)
-6.68984e+00 2.11832e-02 2.08750e-02 1.88193e-02 -4.08947e-05 -7.55714e-05 -3.23076e-06 -3.42421e-05 -8.65726e-06 -3.50769e-05 1.85612e-08 6.89821e-08 1.82158e-08 5.37781e-08 2.53168e-08 -1.02029e-08 1.77973e-08 1.88719e-08 -6.77876e-09 2.50803e-08
# precision: tgt 5.00e-03 max 7.61e-03 (152.2%) avg 6.53e-04 (13.1%)
3.87407e+00 -4.90529e-03 -6.55166e-03 1.45298e-02 -4.94670e-06 -5.99074e-06 2.50544e-05 -4.76104e-06 3.17372e-05 -4.47709e-05 3.75770e-09 1.29745e-08 -4.74866e-09 1.36525e-08 -1.59328e-08 -1.67238e-08 3.54982e-09 -5.66882e-09 -2.29781e-08 3.41644e-08

#tofext5k_z21_q2
3 21 1 20
# precision: tgt 5.00e-03 max 7.90e-03 (158.0%) avg 9.99e-04 (20.0%)
4.72610e+00 1.89086e-02 -2.01035e-02 -7.35482e-03 1.89340e-05 -4.65346e-05 -2.85416e-05 2.01955e-05 3.17158e-05 -4.33003e-07 9.68578e-09 -2.79271e-08 -1.37649e-08 3.75965e-08 2.56305e-08 1.31334e-08 -5.95719e-09 -1.12252e-08 -1.96912e-08 6.20018e-09
# precision: tgt 5.00e-03 max 1.17e-02 (235.0%) avg 1.41e-03 (28.2%)
-6.40256e+00 -1.81903e-02 1.84792e-02 2.04523e-02 -3.66862e-05 6.62186e-05 1.34576e-06 -3.11556e-05 -8.06252e-06 -3.94441e-05 -1.61833e-08 6.11028e-08 1.73373e-08 -4.68021e-08 -2.20147e-08 9.96215e-09 1.57746e-08 1.94380e-08 -5.93186e-09 2.77620e-08
# precision: tgt 5.00e-03 max 6.71e-03 (134.2%) avg 5.63e-04 (11.3%)
8.64877e-01 4.01411e-03 -5.83990e-03 3.11953e-02 -1.96229e-06 -1.15140e-06 -1.46499e-05 -1.19024e-06 2.14640e-05 -7.16491e-05 -2.73183e-09 8.83428e-09 -6.63763e-09 -9.49795e-09 2.08413e-08 4.39128e-09 2.48996e-09 -8.51294e-09 -1.03590e-08 4.71945e-08

#tofext5k_z21_q3
3 21 2 20
# precision: tgt 5.00e-03 max 2.13e-02 (426.3%) avg 3.68e-03 (73.5%)
1.44034e+01 4.42930e-02 3.98723e-02 -4.71769e-02 7.03676e-05 1.15242e-04 -5.07674e-05 5.20967e-05 -5.07272e-05 7.23053e-05 4.05525e-08 1.07456e-07 -3.19485e-08 9.47117e-08 -2.82545e-08 3.05030e-08 1.83417e-08 -2.78957e-08 3.46317e-08 -3.63179e-08
# precision: tgt 5.00e-03 max 2.24e-02 (448.8%) avg 3.13e-03 (62.7%)
7.33814e+00 -1.83505e-02 -1.34033e-02 -6.82379e-02 -1.08923e-05 -5.92986e-05 1.79612e-05 -1.88461e-05 -1.03445e-05 1.44814e-04 -1.10167e-08 -3.51750e-08 -1.70060e-08 -5.81457e-08 1.40753e-08 -9.89136e-09 -9.38302e-09 -1.73898e-08 1.35596e-08 -9.41930e-08
# precision: tgt 5.00e-03 max 2.51e-02 (502.6%) avg 3.49e-03 (69.8%)
-2.31386e+01 -4.75468e-03 5.24926e-03 1.73144e-01 -1.45978e-05 3.17350e-05 3.73985e-05 1.53543e-05 2.53787e-05 -3.26836e-04 -5.68331e-09 1.52190e-08 3.09238e-08 4.36001e-08 3.03785e-09 -3.25141e-08 2.16789e-08 2.23788e-08 -2.47191e-08 1.98343e-07

#tofext5k_z21_q4
3 21 3 20
# precision: tgt 5.00e-03 max 1.33e-02 (266.0%) avg 2.83e-03 (56.6%)
-1.51107e+01 3.50215e-02 -3.20909e-02 5.94008e-02 -5.08668e-05 8.24778e-05 -5.03771e-05 -3.97685e-05 4.92409e-05 -9.59337e-05 2.83486e-08 -7.35451e-08 2.94089e-08 6.87952e-08 -2.49101e-08 3.21096e-08 -1.28077e-08 2.58055e-08 -3.48710e-08 5.10100e-08
# precision: tgt 5.00e-03 max 1.71e-02 (341.3%) avg 2.86e-03 (57.3%)
4.77695e+00 2.62368e-02 -1.92041e-02 -5.98256e-02 -2.99703e-05 8.65416e-05 -1.68107e-05 -2.88115e-05 -1.06725e-05 1.28080e-04 2.60943e-08 -7.04295e-08 -1.96200e-08 8.28078e-08 -7.41410e-09 1.19400e-08 -1.52416e-08 -1.91540e-08 1.10025e-08 -8.42160e-08
# precision: tgt 5.00e-03 max 2.73e-02 (546.2%) avg 3.74e-03 (74.8%)
-2.49149e+01 7.29602e-05 9.26729e-03 1.87983e-01 -5.86741e-06 -4.91496e-05 -3.73426e-05 2.28033e-05 2.66626e-05 -3.55275e-04 3.53796e-10 3.00666e-08 2.97248e-08 -5.78804e-08 1.02585e-09 3.46058e-08 2.60816e-08 2.19089e-08 -2.77379e-08 2.15621e-07

#tofext5k_z3_q1
3 3 0 20
# precision: tgt 5.00e-03 max 3.26e-03 (65.2%) avg 6.54e-04 (13.1%)
9.99461e-01 -6.31579e-03 -6.84676e-03 -1.19717e-03 1.14649e-05 2.47003e-05 1.24548e-06 1.15385e-05 -3.39915e-06 -4.48704e-06 -6.14400e-09 -2.14145e-08 4.18091e-09 -2.29615e-08 4.22201e-09 4.46812e-09 -5.38532e-09 3.25213e-09 -2.65066e-09 -4.97119e-09
# precision: tgt 5.00e-03 max 3.59e-03 (71.8%) avg 5.68e-04 (11.4%)
-1.07785e-02 -2.34612e-03 -1.49090e-03 -2.20118e-03 5.41297e-06 7.19407e-06 -7.13652e-07 3.60121e-06 2.96626e-06 -5.16338e-06 -2.29584e-09 -8.29115e-09 4.19954e-09 -4.50733e-09 1.70786e-09 4.70886e-10 -1.25694e-09 5.20556e-09 5.51115e-09 -4.57204e-09
# precision: tgt 5.00e-03 max 3.72e-03 (74.4%) avg 8.82e-04 (17.6%)
4.73489e+00 1.55621e-03 1.29532e-03 1.61877e-03 -1.57822e-06 -6.96448e-06 -1.78032e-06 -4.42811e-07 -2.24814e-06 4.88229e-06 2.20102e-09 8.08652e-09 5.51617e-09 6.71362e-09 2.91964e-09 -5.70225e-10 1.13378e-09 5.55972e-09 -1.43315e-09 6.12221e-09

#tofext5k_z3_q2
3 3 1 20
# precision: tgt 5.00e-03 max 4.04e-03 (80.7%) avg 5.50e-04 (11.0%)
-3.49756e-01 -2.69030e-03 3.43595e-03 1.49973e-03 -4.98780e-06 1.16061e-05 2.21229e-06 -5.36786e-06 2.55655e-06 4.65568e-06 -2.20261e-09 8.46984e-09 -3.62313e-09 -1.04901e-08 4.00455e-09 4.99791e-09 1.50598e-09 -3.24017e-09 1.61553e-09 4.77559e-09
# precision: tgt 5.00e-03 max 4.20e-03 (84.1%) avg 6.49e-04 (13.0%)
5.91727e-01 6.05382e-03 -5.34262e-03 -2.33908e-03 1.27412e-05 -2.30142e-05 5.52869e-07 1.15264e-05 3.12575e-06 -5.54417e-06 7.31887e-09 -2.38947e-08 3.41187e-09 2.05610e-08 -1.61024e-09 -3.88642e-10 -6.79986e-09 4.53479e-09 5.42466e-09 -4.86334e-09
# precision: tgt 5.00e-03 max 3.37e-03 (67.4%) avg 7.68e-04 (15.4%)
4.57232e+00 -2.02866e-03 1.58956e-03 4.63344e-04 -1.92794e-06 6.78497e-06 -2.61484e-07 -7.71459e-07 -4.88914e-07 2.97657e-06 -1.75645e-09 6.89927e-09 3.35053e-09 -5.95966e-09 -2.44806e-10 1.70342e-10 1.43106e-09 4.47645e-09 -7.78242e-10 4.67747e-09

#tofext5k_z3_q3
3 3 2 20
# precision: tgt 5.00e-03 max 2.85e-03 (56.9%) avg 4.18e-04 (8.4%)
4.79423e-01 8.50616e-04 -1.50071e-04 3.17350e-03 2.70320e-07 1.34037e-07 5.34636e-06 -1.16987e-06 4.56036e-07 7.14615e-06 8.29245e-10 1.69957e-09 -3.41487e-09 -1.39433e-09 -6.05785e-10 8.31682e-09 5.19063e-10 -3.40616e-09 1.70485e-09 5.77238e-09
# precision: tgt 5.00e-03 max 5.07e-03 (101.5%) avg 4.52e-04 (9.0%)
3.62560e-01 -1.09940e-04 3.76393e-04 2.50091e-03 3.07251e-07 1.08255e-07 -1.94949e-06 -1.36992e-06 4.42112e-06 6.47807e-06 1.84003e-09 3.93303e-11 -3.39705e-09 8.90573e-10 -1.49793e-09 -1.82986e-09 -1.75667e-09 -2.55578e-09 7.10155e-09 6.36328e-09
# precision: tgt 5.00e-03 max 3.69e-03 (73.8%) avg 6.53e-04 (13.1%)
4.77495e+00 -5.95115e-04 5.36920e-04 4.08912e-04 6.51117e-07 -5.02090e-07 1.09528e-06 4.91498e-06 1.03704e-06 2.63525e-06 -1.12738e-09 -2.88602e-09 6.39159e-09 2.19230e-09 1.36625e-09 7.24491e-10 3.04013e-09 7.12138e-09 -1.56699e-10 3.94416e-09

#tofext5k_z3_q4
3 3 3 20
# precision: tgt 5.00e-03 max 6.56e-03 (131.2%) avg 1.04e-03 (20.8%)
1.03840e+00 -7.95615e-03 8.06009e-03 -2.76105e-03 1.70968e-05 -3.32508e-05 6.55155e-06 1.52617e-05 -1.60455e-06 -5.04034e-06 -9.87450e-09 3.25191e-08 3.51126e-09 -3.14349e-08 7.13178e-10 9.40528e-09 7.01398e-09 3.43644e-09 -2.45303e-09 -3.52915e-09
# precision: tgt 5.00e-03 max 5.84e-03 (116.8%) avg 6.15e-04 (12.3%)
-4.76923e-02 3.80637e-03 -1.65182e-03 3.10787e-03 -8.75801e-06 1.05642e-05 1.99265e-06 -3.86785e-06 4.66500e-06 8.18933e-06 5.27363e-09 -1.34523e-08 -4.08037e-09 5.68947e-09 2.67923e-09 6.91091e-10 -2.45588e-09 -3.07450e-09 8.51919e-09 7.37282e-09
# precision: tgt 5.00e-03 max 3.73e-03 (74.7%) avg 7.46e-04 (14.9%)
5.05977e+00 -1.00546e-03 1.81975e-03 9.90278e-04 3.22555e-06 -3.97673e-06 -2.10631e-06 7.01966e-06 1.53260e-06 4.19064e-06 7.50277e-10 -3.92275e-10 9.23523e-09 -4.47988e-09 -4.89858e-09 3.81610e-10 3.19538e-09 9.76277e-09 -1.76369e-09 5.93165e-09

#tofext5k_z4_q1
3 4 0 20
# precision: tgt 5.00e-03 max 3.61e-03 (72.3%) avg 4.06e-04 (8.1%)
-1.29500e+00 -2.83386e-03 -4.22451e-03 -1.78463e-02 5.60473e-06 1.35616e-05 3.93386e-06 6.69939e-06 -4.06692e-06 -5.56804e-05 -1.42783e-09 -8.96274e-09 6.44703e-09 -1.09207e-08 8.42640e-09 1.04096e-08 -2.08437e-09 5.97886e-09 -1.85588e-10 -5.60215e-08
# precision: tgt 5.00e-03 max 3.72e-03 (74.4%) avg 4.76e-04 (9.5%)
-1.95773e+00 -2.30295e-03 -7.95272e-04 -2.03925e-02 5.44633e-06 7.35723e-06 -4.89585e-07 2.45288e-06 5.62020e-06 -6.16209e-05 -3.00620e-09 -9.02846e-09 2.50953e-09 -5.17101e-09 -4.79982e-11 -9.67205e-10 -6.09137e-10 2.06282e-09 6.05794e-09 -6.34979e-08
# precision: tgt 5.00e-03 max 4.91e-03 (98.1%) avg 4.53e-04 (9.1%)
-4.92617e-01 3.05435e-03 2.76025e-03 -4.50896e-02 -2.45714e-06 -9.08216e-06 3.82951e-06 -1.25732e-06 3.23754e-06 -1.36116e-04 1.95532e-09 7.02235e-09 1.00822e-09 6.20162e-09 -5.86053e-09 4.85235e-10 9.54899e-10 2.13175e-09 5.21842e-10 -1.38209e-07

#tofext5k_z4_q2
3 4 1 20
# precision: tgt 5.00e-03 max 3.87e-03 (77.3%) avg 3.59e-04 (7.2%)
9.53705e-01 -2.51662e-03 3.59364e-03 1.41460e-02 -4.83724e-06 1.18998e-05 3.54465e-06 -5.98858e-06 2.57381e-06 4.44602e-05 -1.61189e-09 8.25068e-09 -4.24710e-09 -1.01388e-08 5.98776e-09 8.38881e-09 2.01930e-09 -4.74917e-09 -6.04452e-10 4.49778e-08
# precision: tgt 5.00e-03 max 4.03e-03 (80.6%) avg 4.73e-04 (9.5%)
-1.11619e+00 2.81939e-03 -1.39940e-03 -1.35205e-02 6.40693e-06 -9.89841e-06 5.18444e-08 3.93700e-06 6.24976e-06 -4.00570e-05 3.04822e-09 -9.72047e-09 5.06787e-09 6.16573e-09 -5.01409e-09 -4.32307e-09 -1.27672e-09 4.55213e-09 1.16107e-08 -3.83730e-08
# precision: tgt 5.00e-03 max 4.27e-03 (85.4%) avg 4.03e-04 (8.1%)
9.25669e-01 -1.74164e-03 1.49844e-03 -3.39322e-02 -8.38682e-08 5.04886e-06 -1.74077e-06 6.11484e-07 1.29740e-06 -1.03280e-04 -5.92846e-10 3.65303e-09 3.72732e-09 -2.98326e-09 2.92768e-09 -7.38633e-10 1.65323e-11 3.56569e-09 -2.08329e-10 -1.04970e-07

#tofext5k_z4_q3
3 4 2 20
# precision: tgt 5.00e-03 max 2.97e-03 (59.4%) avg 3.70e-04 (7.4%)
1.94328e+00 -7.73867e-04 -1.77155e-03 2.05739e-02 -1.00761e-06 -4.33310e-06 2.37915e-06 -2.32603e-06 -3.08720e-06 6.51533e-05 1.30203e-09 5.47343e-10 -6.08307e-09 -2.04374e-09 -9.52931e-09 9.51729e-09 2.32051e-10 -5.36611e-09 1.87168e-09 6.56773e-08
# precision: tgt 5.00e-03 max 5.59e-03 (111.8%) avg 5.04e-04 (10.1%)
2.85775e+00 3.36909e-03 4.71693e-03 2.04123e-02 5.29665e-06 1.19601e-05 2.92780e-06 5.93037e-06 1.13687e-05 5.85274e-05 4.35026e-09 9.26446e-09 -1.35281e-09 1.04492e-08 6.16008e-09 1.58594e-09 2.36626e-09 3.43646e-09 1.02906e-08 5.88076e-08
# precision: tgt 5.00e-03 max 4.74e-03 (94.8%) avg 4.84e-04 (9.7%)
1.42681e+00 -2.10221e-03 -7.76873e-04 -2.94889e-02 -1.26090e-06 -4.65962e-06 -2.67008e-06 2.99073e-06 -1.23886e-06 -8.91786e-05 -1.19813e-09 -4.02624e-09 1.46340e-09 -8.31613e-11 -6.47242e-09 9.67234e-10 1.57407e-09 5.78118e-09 3.89247e-10 -9.14537e-08

#tofext5k_z4_q4
3 4 3 20
# precision: tgt 5.00e-03 max 4.49e-03 (89.8%) avg 6.79e-04 (13.6%)
-1.79815e+00 -7.06691e-03 7.41587e-03 -2.83983e-02 1.33159e-05 -2.70527e-05 8.86651e-07 1.16741e-05 4.83863e-06 -8.96670e-05 -5.91601e-09 2.21744e-08 8.58081e-09 -2.11857e-08 -1.19533e-08 8.32570e-09 4.21683e-09 7.29693e-09 -7.03213e-10 -9.13642e-08
# precision: tgt 5.00e-03 max 3.99e-03 (79.9%) avg 6.29e-04 (12.6%)
3.04163e+00 2.42813e-03 3.92636e-04 2.93884e-02 -8.77353e-06 9.16348e-06 -4.26415e-06 -2.65462e-06 1.36901e-05 8.43643e-05 6.46194e-09 -1.50241e-08 -8.02402e-10 7.58598e-09 -6.54110e-09 -2.21157e-09 -2.37099e-09 2.50253e-09 1.35300e-08 8.42765e-08
# precision: tgt 5.00e-03 max 5.01e-03 (100.2%) avg 5.32e-04 (10.6%)
4.51688e-01 2.65675e-03 -1.34778e-03 -3.77537e-02 -2.55270e-06 6.39831e-06 3.52753e-06 2.18305e-06 -2.23735e-06 -1.14262e-04 1.94464e-09 -5.52576e-09 -7.38464e-10 1.63506e-09 7.54605e-09 -1.74438e-09 1.29040e-09 4.99187e-09 -3.73690e-10 -1.17017e-07

#tofext5k_z5_q1
3 5 0 20
# precision: tgt 5.00e-03 max 3.05e-03 (61.0%) avg 2.09e-04 (4.2%)
4.38405e-01 -2.46365e-03 -2.70987e-03 -4.68612e-04 2.87567e-06 7.91939e-06 -2.85630e-06 3.46113e-06 -4.62502e-06 -5.81410e-06 -4.93467e-10 -4.99875e-09 3.84955e-09 -6.10187e-09 6.16093e-09 -2.55612e-09 -8.05133e-10 3.56559e-09 -3.12570e-09 -9.57835e-09
# precision: tgt 5.00e-03 max 3.38e-03 (67.7%) avg 3.16e-04 (6.3%)
2.60912e-01 -2.39394e-03 -1.58429e-03 -8.40276e-04 4.20658e-06 6.16531e-06 -3.78597e-06 1.62782e-06 -1.11997e-06 -5.95597e-06 -2.39513e-09 -6.88358e-09 2.08205e-09 -3.94257e-09 1.75868e-09 -5.14163e-09 -2.32749e-10 1.23907e-09 -3.85620e-09 -1.04861e-08
# precision: tgt 5.00e-03 max 3.37e-03 (67.3%) avg 2.28e-04 (4.6%)
4.84385e+00 2.16552e-03 2.27223e-03 3.07826e-03 -1.62428e-06 -5.71830e-06 5.19141e-06 -1.30237e-06 5.88483e-06 1.67572e-05 9.45586e-10 2.75258e-09 -3.50390e-09 2.53629e-09 -1.05473e-08 -4.82106e-10 4.38889e-10 -3.54174e-09 9.00830e-10 2.38260e-08

#tofext5k_z5_q2
3 5 1 20
# precision: tgt 5.00e-03 max 4.20e-03 (84.0%) avg 2.58e-04 (5.2%)
-3.22931e-01 -2.24216e-03 2.75469e-03 1.50209e-03 -3.45775e-06 9.10887e-06 8.59642e-07 -4.43485e-06 2.30703e-06 6.77828e-06 -1.12348e-09 6.61995e-09 -2.58939e-09 -7.97794e-09 4.14341e-09 2.68326e-09 1.64613e-09 -3.14014e-09 4.48646e-10 8.21573e-09
# precision: tgt 5.00e-03 max 2.45e-03 (49.0%) avg 3.24e-04 (6.5%)
2.48450e-01 2.37135e-03 -1.62197e-03 -8.93270e-04 4.27107e-06 -6.42779e-06 3.57812e-06 2.12070e-06 -6.70884e-07 -5.84017e-06 2.38415e-09 -6.98856e-09 2.62985e-09 4.22497e-09 -2.13826e-09 3.87576e-09 -7.39537e-10 1.78332e-09 -2.13861e-09 -9.47780e-09
# precision: tgt 5.00e-03 max 3.53e-03 (70.7%) avg 1.77e-04 (3.5%)
5.13896e+00 -3.65308e-04 4.24738e-04 2.99647e-03 7.63482e-07 1.61554e-06 9.96072e-07 8.87209e-07 -4.01944e-07 1.02950e-05 1.92416e-10 1.05088e-09 2.05131e-09 -8.56074e-10 2.82183e-10 1.47258e-09 -3.96851e-10 1.33759e-09 -1.15134e-09 1.42834e-08

#tofext5k_z5_q3
3 5 2 20
# precision: tgt 5.00e-03 max 1.73e-03 (34.5%) avg 2.93e-04 (5.9%)
-2.70015e-01 -3.95821e-04 -1.03214e-03 -1.28077e-03 1.08741e-06 -3.80718e-07 -2.39456e-06 -6.64492e-07 -5.13408e-06 -4.49969e-07 1.69723e-09 2.59157e-09 -2.60123e-09 3.59024e-10 -5.67884e-09 -2.20453e-09 5.06602e-10 -3.66642e-09 -4.08248e-09 1.92368e-09
# precision: tgt 5.00e-03 max 5.25e-03 (104.9%) avg 4.28e-04 (8.6%)
5.72329e-01 2.20231e-03 2.47249e-03 2.08294e-03 4.70024e-06 8.54449e-06 -6.25060e-08 3.97189e-06 4.13919e-06 5.85997e-06 4.14178e-09 7.92480e-09 -1.41882e-09 7.54848e-09 3.37756e-09 -1.59562e-09 1.79768e-09 1.94047e-09 1.31762e-09 7.71081e-09
# precision: tgt 5.00e-03 max 5.09e-03 (101.9%) avg 2.82e-04 (5.6%)
4.67533e+00 -1.65237e-03 -1.10529e-03 -3.59907e-04 -1.18341e-06 -4.01485e-06 -3.13560e-06 5.33738e-07 -2.77696e-06 1.44861e-06 -9.08013e-10 -3.99901e-09 4.43935e-10 -2.41505e-09 -1.74977e-09 -4.11776e-09 -1.53117e-10 3.41435e-09 -5.66190e-09 7.02359e-09

#tofext5k_z5_q4
3 5 3 20
# precision: tgt 5.00e-03 max 4.47e-03 (89.4%) avg 5.23e-04 (10.5%)
1.38801e+00 -6.33658e-03 6.13436e-03 2.88901e-03 1.00101e-05 -2.14263e-05 -4.30082e-06 8.73672e-06 6.23727e-06 4.87734e-06 -5.03221e-09 1.85161e-08 3.75405e-09 -1.71794e-08 -8.19119e-09 -3.84438e-09 3.46454e-09 4.02627e-09 4.23717e-09 2.94154e-09
# precision: tgt 5.00e-03 max 3.63e-03 (72.6%) avg 4.96e-04 (9.9%)
-3.58283e-01 3.84368e-03 -2.19347e-03 1.43414e-03 -9.47445e-06 1.29681e-05 -8.33031e-07 -4.18378e-06 4.73598e-06 2.87984e-06 6.98997e-09 -1.70057e-08 2.42610e-10 1.08197e-08 -4.52665e-09 2.12921e-09 -2.78056e-09 2.53956e-09 1.13849e-09 4.22016e-09
# precision: tgt 5.00e-03 max 4.05e-03 (80.9%) avg 2.96e-04 (5.9%)
4.61438e+00 2.66820e-03 -1.86108e-03 5.45953e-04 -3.19974e-06 7.19408e-06 4.90963e-06 -8.87209e-07 -3.01538e-06 5.70292e-06 2.19292e-09 -6.60726e-09 -2.19415e-09 4.95412e-09 4.82891e-09 3.38653e-09 -8.73796e-10 2.15614e-09 -3.56326e-09 1.17638e-08

#tofext5k_z6_q1
3 6 0 20
# precision: tgt 5.00e-03 max 2.47e-03 (49.4%) avg 1.23e-04 (2.5%)
1.75471e-01 -6.54210e-04 -7.94249e-04 3.54958e-04 3.17236e-07 2.15129e-06 -1.85271e-07 7.29048e-07 -1.77503e-06 -5.19654e-08 5.85324e-10 -6.60347e-10 1.97346e-09 -1.24748e-09 3.56753e-09 1.19290e-11 2.89390e-10 1.93127e-09 -6.10760e-11 -8.17395e-11
# precision: tgt 5.00e-03 max 2.52e-03 (50.5%) avg 2.07e-04 (4.1%)
1.64775e-01 -1.14315e-03 -8.19126e-04 -8.69542e-05 2.35234e-06 3.85709e-06 -3.88733e-08 1.05003e-06 1.53104e-06 -3.10489e-07 -1.41001e-09 -4.27554e-09 4.50836e-10 -2.79646e-09 3.28000e-10 1.75626e-10 -1.50866e-10 2.61291e-10 -4.35958e-11 -3.76181e-10
# precision: tgt 5.00e-03 max 3.08e-03 (61.6%) avg 9.26e-05 (1.9%)
4.96202e+00 2.70381e-04 2.98343e-04 -2.27063e-05 1.34375e-07 -1.05175e-06 3.94687e-08 2.80975e-07 -1.32984e-07 -1.61031e-06 4.16086e-10 9.90483e-10 -3.49706e-10 1.02964e-09 1.49193e-10 -2.46237e-10 2.38780e-10 4.84364e-11 -7.76666e-11 7.51612e-11

#tofext5k_z6_q2
3 6 1 20
# precision: tgt 5.00e-03 max 2.65e-03 (53.0%) avg 1.47e-04 (2.9%)
-2.08763e-01 -9.18821e-04 1.00633e-03 -2.61557e-04 -1.03639e-06 3.27693e-06 2.54503e-07 -1.31440e-06 1.15504e-06 -1.06135e-07 3.00713e-11 2.05950e-09 -1.50846e-09 -2.50894e-09 2.47753e-09 8.54213e-11 1.23966e-10 -1.64379e-09 -1.17716e-10 -2.28109e-10
# precision: tgt 5.00e-03 max 2.34e-03 (46.8%) avg 2.36e-04 (4.7%)
1.74632e-01 1.22376e-03 -8.30093e-04 1.41724e-04 2.72318e-06 -4.02773e-06 4.01837e-07 1.23965e-06 1.35588e-06 5.01896e-07 1.76499e-09 -4.67034e-09 1.06234e-09 2.84697e-09 -5.50155e-10 -2.01083e-10 -4.56189e-10 5.52260e-10 1.12042e-10 8.67485e-10
# precision: tgt 5.00e-03 max 2.90e-03 (58.0%) avg 8.09e-05 (1.6%)
4.94935e+00 -2.14687e-04 2.26282e-04 -1.14475e-04 6.26901e-07 5.98993e-07 1.09906e-07 7.89023e-07 1.46998e-07 -1.73327e-06 2.06067e-10 2.59051e-10 1.75671e-10 -7.16938e-11 2.65914e-10 4.34848e-11 -4.02169e-10 -2.05578e-10 -1.23456e-11 -5.16143e-11

#tofext5k_z6_q3
3 6 2 20
# precision: tgt 5.00e-03 max 1.44e-03 (28.7%) avg 2.36e-04 (4.7%)
1.21758e-02 4.86750e-04 8.96162e-05 -2.21129e-04 1.65018e-06 1.59683e-06 8.24781e-07 3.95233e-07 -1.26367e-06 8.81079e-08 1.57980e-09 2.96193e-09 -7.40510e-10 1.35267e-09 -1.75493e-09 2.77282e-10 5.99674e-10 -1.41777e-09 -7.45812e-10 6.07652e-10
# precision: tgt 5.00e-03 max 4.53e-03 (90.6%) avg 3.83e-04 (7.7%)
2.81189e-01 1.66747e-03 1.35652e-03 5.78753e-04 3.91732e-06 5.49864e-06 4.73115e-07 2.08088e-06 2.83134e-06 1.11569e-06 3.42616e-09 6.04971e-09 -6.49502e-10 4.63449e-09 1.28656e-09 4.07321e-10 1.07082e-09 3.11134e-10 1.88799e-09 1.14751e-09
# precision: tgt 5.00e-03 max 2.49e-03 (49.9%) avg 1.20e-04 (2.4%)
4.76749e+00 -1.29794e-03 -9.68121e-04 -5.16670e-04 -1.27174e-06 -4.04496e-06 -1.68658e-06 -7.40002e-07 -6.40713e-07 -2.12157e-06 -7.55505e-10 -3.70673e-09 -1.19018e-09 -3.14701e-09 -1.70114e-09 -1.78171e-09 -7.97431e-10 6.63247e-10 -1.00148e-09 3.53013e-10

#tofext5k_z6_q4
3 6 3 20
# precision: tgt 5.00e-03 max 3.31e-03 (66.1%) avg 4.71e-04 (9.4%)
8.16480e-01 -4.64355e-03 4.27557e-03 1.14197e-04 8.12391e-06 -1.66758e-05 -2.36534e-07 6.51835e-06 1.72293e-06 -1.13404e-06 -4.39952e-09 1.56034e-08 1.57493e-09 -1.37902e-08 -3.23599e-09 -7.17120e-10 2.64483e-09 1.80449e-09 3.30313e-10 -2.00434e-09
# precision: tgt 5.00e-03 max 4.13e-03 (82.6%) avg 4.95e-04 (9.9%)
-5.06394e-01 3.78577e-03 -2.57088e-03 5.26096e-04 -8.45601e-06 1.25228e-05 -9.85243e-08 -4.05726e-06 2.53276e-06 1.19495e-06 5.94875e-09 -1.48939e-08 -1.10512e-10 9.55874e-09 -1.59232e-09 1.41186e-09 -2.08918e-09 8.42772e-10 2.32535e-10 2.35044e-09
# precision: tgt 5.00e-03 max 2.49e-03 (49.8%) avg 1.54e-04 (3.1%)
4.73751e+00 1.56651e-03 -1.27111e-03 -3.53262e-04 -2.13454e-06 5.38015e-06 1.52428e-06 -1.47326e-06 -4.93642e-07 -1.71487e-06 1.56410e-09 -5.17467e-09 -1.64673e-09 4.58639e-09 1.95511e-09 5.58468e-10 -1.28382e-09 2.88808e-10 -1.94967e-10 3.03716e-10

#tofext5k_z7_q1
3 7 0 20
# precision: tgt 5.00e-03 max 2.69e-03 (53.9%) avg 1.78e-04 (3.6%)
8.54583e-02 -6.20125e-04 -6.73485e-04 -4.49036e-04 7.27015e-07 2.12999e-06 1.67050e-07 8.18069e-07 -1.53533e-06 -3.58838e-06 2.75873e-10 -8.85983e-10 3.18153e-09 -9.98505e-10 4.97753e-09 2.72179e-09 2.05088e-10 3.24299e-09 2.51666e-09 -4.31138e-09
# precision: tgt 5.00e-03 max 1.66e-03 (33.3%) avg 2.26e-04 (4.5%)
2.38838e-01 -1.50098e-03 -1.12840e-03 2.25031e-04 2.53807e-06 4.12590e-06 -3.18084e-06 1.23761e-06 -9.53971e-07 -2.52311e-06 -1.11137e-09 -3.46954e-09 3.84523e-09 -2.37561e-09 5.12225e-09 -6.88965e-10 -6.74284e-11 2.11882e-09 -1.16669e-09 -5.71545e-09
# precision: tgt 5.00e-03 max 3.07e-03 (61.3%) avg 9.89e-05 (2.0%)
4.88980e+00 2.97528e-04 3.43263e-04 -1.18752e-03 4.02353e-07 -5.31138e-07 1.89611e-06 4.83649e-07 1.70193e-06 -5.74785e-06 9.48443e-11 -8.76275e-11 -1.86754e-09 3.58443e-11 -2.96759e-09 4.89277e-10 -3.54698e-11 -1.48103e-09 5.56016e-10 -7.44093e-09

#tofext5k_z7_q2
3 7 1 20
# precision: tgt 5.00e-03 max 2.83e-03 (56.6%) avg 1.65e-04 (3.3%)
-1.36868e-01 -8.64960e-04 9.99859e-04 5.05771e-04 -1.22443e-06 3.15583e-06 4.68051e-07 -1.41401e-06 1.98911e-06 4.22245e-06 3.48757e-11 1.88138e-09 -3.04420e-09 -2.02895e-09 4.62341e-09 3.48198e-09 1.80968e-10 -3.30981e-09 -9.03168e-10 6.12388e-09
# precision: tgt 5.00e-03 max 2.69e-03 (53.8%) avg 2.55e-04 (5.1%)
1.83105e-01 1.32771e-03 -9.13257e-04 -2.65133e-05 2.49260e-06 -3.73889e-06 2.46750e-06 1.17892e-06 1.10741e-07 -2.70665e-06 1.23755e-09 -3.46496e-09 3.56507e-09 2.19507e-09 -3.73659e-09 -3.29450e-12 -2.76412e-10 1.62218e-09 2.00508e-10 -5.33886e-09
# precision: tgt 5.00e-03 max 3.14e-03 (62.9%) avg 1.55e-04 (3.1%)
4.98610e+00 -3.42103e-04 3.47470e-04 9.47846e-04 3.76518e-07 1.23262e-06 2.28701e-07 4.74077e-07 -1.83992e-07 4.43607e-06 7.56378e-11 6.05095e-10 -3.63726e-10 -5.24406e-10 1.91839e-09 2.71841e-09 -1.53376e-10 -5.01519e-10 -2.90941e-09 9.24812e-09

#tofext5k_z7_q3
3 7 2 20
# precision: tgt 5.00e-03 max 2.21e-03 (44.2%) avg 2.44e-04 (4.9%)
9.90340e-02 8.23945e-04 4.70626e-04 4.57021e-05 2.26058e-06 3.06208e-06 3.99329e-07 1.06662e-06 -1.61025e-06 1.98792e-06 1.96747e-09 4.28583e-09 -1.14822e-09 2.83385e-09 -2.42780e-09 1.84080e-10 9.05399e-10 -1.68214e-09 -8.64741e-10 4.01524e-09
# precision: tgt 5.00e-03 max 4.23e-03 (84.7%) avg 3.88e-04 (7.8%)
2.80358e-01 1.87847e-03 1.47779e-03 1.60326e-04 4.47018e-06 6.44662e-06 -1.25642e-07 2.50117e-06 2.02304e-06 -1.69633e-07 3.73577e-09 7.17023e-09 -6.74768e-10 5.39055e-09 1.44997e-09 -1.33784e-09 1.43819e-09 3.75409e-10 -4.73103e-10 7.70822e-10
# precision: tgt 5.00e-03 max 3.31e-03 (66.1%) avg 1.19e-04 (2.4%)
4.92716e+00 -5.87367e-04 -5.30424e-04 4.64818e-04 -3.39158e-07 -2.61510e-06 1.02735e-06 -3.02748e-07 6.43155e-07 7.66173e-07 -5.02920e-10 -2.64514e-09 7.88973e-10 -2.38121e-09 1.84761e-10 1.87580e-09 -6.49305e-10 1.11957e-09 7.91745e-10 3.23273e-09

#tofext5k_z7_q4
3 7 3 20
# precision: tgt 5.00e-03 max 3.27e-03 (65.4%) avg 4.39e-04 (8.8%)
7.40600e-01 -4.16163e-03 3.76852e-03 4.27600e-04 7.51791e-06 -1.50371e-05 2.14814e-07 5.77234e-06 1.47058e-06 7.45538e-07 -4.25808e-09 1.45658e-08 1.00974e-09 -1.25025e-08 -2.30763e-09 -9.22099e-10 2.40337e-09 1.37130e-09 8.60243e-10 6.12443e-10
# precision: tgt 5.00e-03 max 4.10e-03 (81.9%) avg 4.69e-04 (9.4%)
-5.06513e-01 3.59943e-03 -2.53619e-03 2.26874e-04 -8.04500e-06 1.19673e-05 2.79329e-08 -3.95799e-06 1.98708e-06 1.31645e-07 5.74429e-09 -1.41253e-08 -2.72097e-11 9.21280e-09 -1.57594e-09 2.14574e-09 -1.92182e-09 4.82569e-10 -9.64792e-10 1.70809e-09
# precision: tgt 5.00e-03 max 2.45e-03 (48.9%) avg 1.15e-04 (2.3%)
4.91942e+00 7.15271e-04 -5.44470e-04 2.59322e-04 -8.35727e-07 2.93890e-06 -1.31363e-07 -4.51691e-07 7.63252e-07 -6.04112e-07 8.60777e-10 -2.69938e-09 -1.59495e-09 2.51234e-09 2.32041e-09 -4.20222e-09 -7.52516e-10 3.46127e-10 3.52776e-09 -2.13426e-09

#tofext5k_z8_q1
3 8 0 20
# precision: tgt 5.00e-03 max 2.69e-03 (53.8%) avg 1.58e-04 (3.2%)
1.21241e-01 -4.99173e-04 -4.36831e-04 3.63035e-04 5.85832e-07 1.70388e-06 6.83956e-07 2.77455e-07 -8.19781e-07 5.95739e-08 -2.57094e-10 -1.43243e-09 -3.07955e-10 -1.16582e-09 1.57896e-09 -2.36447e-10 1.27465e-10 -1.90574e-10 -1.20973e-10 -3.83127e-11
# precision: tgt 5.00e-03 max 1.47e-03 (29.3%) avg 2.08e-04 (4.2%)
2.25127e-01 -1.31338e-03 -1.17052e-03 6.53329e-05 2.56396e-06 4.92313e-06 2.68995e-07 1.95849e-06 1.86610e-06 1.33165e-07 -1.70692e-09 -5.07049e-09 -8.55922e-10 -4.52906e-09 -7.32968e-10 -3.64516e-10 -1.02798e-09 -9.31118e-10 -3.39485e-10 -9.62772e-11
# precision: tgt 5.00e-03 max 2.35e-03 (46.9%) avg 6.80e-05 (1.4%)
5.04079e+00 -1.60086e-04 -7.39941e-05 2.95361e-04 9.10903e-07 2.91766e-07 -1.27088e-06 8.55159e-07 -1.25140e-06 -1.69865e-06 9.38388e-12 -1.06580e-10 1.25815e-09 1.89070e-11 2.69280e-09 1.16921e-10 -5.28778e-11 9.97789e-10 4.15365e-11 -2.89794e-10

#tofext5k_z8_q2
3 8 1 20
# precision: tgt 5.00e-03 max 2.60e-03 (52.0%) avg 8.41e-05 (1.7%)
-1.49379e-01 -6.03352e-04 6.23665e-04 -3.08360e-04 -7.07996e-07 2.31400e-06 1.06788e-06 -7.77366e-07 4.14308e-07 -3.96183e-07 -1.97954e-10 1.92021e-09 7.69217e-10 -1.93839e-09 7.83043e-10 -2.02336e-10 2.66693e-10 4.06840e-10 -3.89410e-11 -1.04116e-09
# precision: tgt 5.00e-03 max 1.74e-03 (34.8%) avg 1.97e-04 (3.9%)
1.72612e-01 1.01584e-03 -9.14262e-04 9.97498e-05 2.03675e-06 -3.88408e-06 -1.84477e-07 1.65840e-06 1.88199e-06 5.01840e-07 1.39350e-09 -4.07134e-09 -6.20959e-10 3.60942e-09 9.92210e-10 4.44452e-10 -1.03155e-09 -9.02379e-10 -3.80451e-10 8.24549e-10
# precision: tgt 5.00e-03 max 2.29e-03 (45.9%) avg 1.01e-04 (2.0%)
4.96809e+00 -9.75807e-05 1.76776e-04 -3.20495e-04 9.19672e-07 5.80104e-08 -1.20486e-06 7.08094e-07 1.08197e-06 -1.35076e-06 3.87566e-10 -5.80123e-10 -1.07249e-09 2.37349e-10 2.20938e-09 -5.15509e-10 -1.18259e-10 -8.10163e-10 1.31256e-10 8.12187e-10

#tofext5k_z8_q3
3 8 2 20
# precision: tgt 5.00e-03 max 1.87e-03 (37.5%) avg 2.16e-04 (4.3%)
1.95330e-01 1.36622e-03 1.10125e-03 1.44522e-05 3.06773e-06 4.90450e-06 1.48990e-06 2.04854e-06 -4.64921e-08 2.13590e-07 2.26180e-09 5.51623e-09 2.51069e-10 4.26663e-09 -4.96440e-11 -4.21230e-11 1.31289e-09 -1.55838e-10 1.70629e-10 3.43483e-10
# precision: tgt 5.00e-03 max 3.98e-03 (79.7%) avg 3.53e-04 (7.1%)
3.17951e-01 2.21855e-03 1.69519e-03 2.54883e-05 5.19331e-06 7.55844e-06 -2.42709e-07 2.98872e-06 1.39425e-06 7.45235e-08 4.06182e-09 8.55933e-09 -4.99049e-10 6.43566e-09 -1.39852e-10 1.98973e-10 1.72840e-09 1.92297e-10 2.31202e-11 -7.97946e-11
# precision: tgt 5.00e-03 max 2.39e-03 (47.8%) avg 8.88e-05 (1.8%)
4.87622e+00 -7.09876e-04 -6.02848e-04 -5.08491e-04 -3.61188e-07 -2.23159e-06 -1.90921e-06 -2.82671e-07 -1.78155e-06 -1.47261e-06 -4.13295e-10 -1.85927e-09 -1.74722e-09 -1.58474e-09 -3.74394e-09 -4.12792e-10 -4.94070e-10 -1.37568e-09 -1.27754e-10 1.23946e-10

#tofext5k_z8_q4
3 8 3 20
# precision: tgt 5.00e-03 max 2.95e-03 (59.1%) avg 4.08e-04 (8.2%)
6.47856e-01 -3.74657e-03 3.28012e-03 1.83578e-04 6.92669e-06 -1.35091e-05 7.53510e-07 4.94835e-06 7.86334e-07 -2.73041e-08 -4.04421e-09 1.34450e-08 5.60202e-10 -1.11477e-08 -1.51277e-09 -1.03688e-10 1.99976e-09 7.56384e-10 -9.02732e-11 6.48538e-11
# precision: tgt 5.00e-03 max 3.39e-03 (67.8%) avg 4.49e-04 (9.0%)
-5.25586e-01 3.53943e-03 -2.60110e-03 -1.18170e-04 -7.81379e-06 1.18211e-05 6.96157e-07 -4.00394e-06 8.67715e-07 3.22847e-09 5.62329e-09 -1.34879e-08 -8.08938e-10 8.98413e-09 1.30710e-09 -1.17993e-10 -1.97226e-09 -2.76957e-10 -4.98683e-11 -1.68984e-10
# precision: tgt 5.00e-03 max 2.98e-03 (59.5%) avg 8.28e-05 (1.7%)
4.93041e+00 5.18325e-04 -4.72985e-04 1.18450e-04 -3.79006e-07 2.24424e-06 -4.56023e-07 -3.64948e-07 4.58195e-07 -1.48714e-06 7.25589e-10 -2.46848e-09 4.68209e-10 2.31002e-09 -1.00551e-09 1.10670e-10 -6.92146e-10 3.77583e-10 -5.76137e-11 -3.98625e-11

#tofext5k_z9_q1
3 9 0 20
# precision: tgt 5.00e-03 max 3.06e-03 (61.1%) avg 2.26e-04 (4.5%)
1.17959e-01 -7.16198e-04 -5.68421e-04 5.73888e-04 1.30226e-06 2.21748e-06 -1.45108e-06 7.29385e-07 -2.23596e-06 1.61278e-06 -6.84331e-10 -2.04147e-09 3.08946e-09 -1.54305e-09 3.74693e-09 -7.09164e-09 -7.41457e-11 2.77151e-09 -2.82540e-09 -4.33056e-09
# precision: tgt 5.00e-03 max 1.97e-03 (39.3%) avg 1.65e-04 (3.3%)
1.74069e-01 -1.02785e-03 -1.02785e-03 4.16748e-04 1.94692e-06 3.74935e-06 -2.06563e-06 1.81970e-06 -8.89073e-07 -4.77682e-07 -1.17462e-09 -3.42626e-09 2.20017e-09 -3.43541e-09 3.35629e-09 -3.05521e-09 -9.03146e-10 2.25144e-09 -5.43723e-09 -9.41851e-09
# precision: tgt 5.00e-03 max 3.87e-03 (77.5%) avg 1.23e-04 (2.5%)
4.97630e+00 9.36743e-05 1.52105e-04 -5.94206e-04 6.81788e-07 -1.07953e-07 2.02591e-06 6.66160e-07 1.59997e-06 -3.49961e-06 -2.75916e-11 -2.44158e-10 -1.81159e-09 -4.47164e-11 -2.48978e-09 3.80260e-09 -6.02540e-11 -1.16331e-09 3.64542e-09 9.54826e-10

#tofext5k_z9_q2
3 9 1 20
# precision: tgt 5.00e-03 max 2.65e-03 (53.0%) avg 1.84e-04 (3.7%)
-1.39165e-01 -7.27948e-04 6.74072e-04 -7.26020e-04 -1.17573e-06 2.30458e-06 -1.80811e-06 -9.40092e-07 3.15406e-06 -1.13887e-06 -4.59919e-10 1.89014e-09 -3.23604e-09 -1.61209e-09 4.97275e-09 -5.42739e-09 2.56440e-10 -3.28087e-09 4.45188e-09 4.66286e-09
# precision: tgt 5.00e-03 max 2.39e-03 (47.8%) avg 1.50e-04 (3.0%)
9.89580e-02 6.93565e-04 -6.55824e-04 -1.37717e-04 1.48448e-06 -2.66284e-06 4.72260e-07 1.27927e-06 1.14015e-06 -1.76851e-06 9.81685e-10 -2.66819e-09 1.09071e-09 2.48971e-09 -3.22764e-10 1.07195e-09 -6.98271e-10 8.08236e-10 -1.31103e-09 -8.42178e-09
# precision: tgt 5.00e-03 max 2.38e-03 (47.6%) avg 1.23e-04 (2.5%)
5.03658e+00 1.22549e-04 -4.49761e-06 5.87396e-04 1.03385e-06 -2.65954e-07 1.37250e-06 7.78241e-07 -8.41041e-07 2.14966e-06 2.82995e-10 -4.22544e-10 1.03797e-09 1.12657e-10 -2.11414e-09 6.61241e-10 -8.22127e-11 3.56337e-10 7.65878e-10 1.51530e-08

#tofext5k_z9_q3
3 9 2 20
# precision: tgt 5.00e-03 max 2.09e-03 (41.9%) avg 2.48e-04 (5.0%)
1.97220e-01 1.35493e-03 1.13756e-03 5.92133e-05 2.99112e-06 4.93579e-06 1.63223e-06 2.16815e-06 1.53935e-08 7.64980e-07 2.19361e-09 5.46845e-09 2.15808e-11 4.39144e-09 -3.14947e-10 2.50224e-09 1.39673e-09 2.05313e-11 9.91649e-10 -1.17092e-09
# precision: tgt 5.00e-03 max 3.94e-03 (78.8%) avg 3.75e-04 (7.5%)
3.33313e-01 2.34757e-03 1.80128e-03 -3.76133e-05 5.49038e-06 8.04870e-06 -3.98451e-07 3.19417e-06 1.32384e-06 3.63966e-07 4.24175e-09 9.12734e-09 -4.75667e-10 6.94363e-09 -9.25006e-10 1.14089e-09 1.88019e-09 -2.75877e-10 2.84739e-09 -1.60863e-09
# precision: tgt 5.00e-03 max 3.19e-03 (63.9%) avg 1.60e-04 (3.2%)
4.97511e+00 -3.17179e-04 -2.17385e-04 4.44573e-04 4.66115e-08 -1.40900e-06 1.45729e-06 1.01486e-07 1.78815e-06 -8.07889e-07 -3.89235e-10 -1.69857e-09 1.46027e-09 -1.50503e-09 2.88034e-09 -4.99292e-10 -4.82418e-10 2.05292e-09 9.21217e-10 5.14083e-10

#tofext5k_z9_q4
3 9 3 20
# precision: tgt 5.00e-03 max 3.16e-03 (63.1%) avg 4.20e-04 (8.4%)
5.66940e-01 -3.29836e-03 2.75828e-03 5.43315e-04 6.23767e-06 -1.16135e-05 1.88604e-07 3.94410e-06 1.37951e-06 2.11443e-06 -3.79360e-09 1.19065e-08 5.71471e-10 -9.23344e-09 -2.12962e-09 -2.42978e-09 1.40869e-09 1.07983e-09 1.23839e-09 3.66946e-09
# precision: tgt 5.00e-03 max 3.58e-03 (71.6%) avg 4.62e-04 (9.2%)
-5.69434e-01 3.75657e-03 -2.90230e-03 -1.72806e-04 -8.16149e-06 1.29267e-05 6.73825e-07 -4.75819e-06 1.24985e-06 -8.59611e-07 5.81417e-09 -1.44253e-08 -5.84056e-10 1.03909e-08 8.45592e-10 7.39688e-10 -2.59507e-09 2.91756e-10 8.63460e-11 -2.26137e-09
# precision: tgt 5.00e-03 max 2.95e-03 (59.0%) avg 1.13e-04 (2.3%)
4.88554e+00 6.37573e-04 -5.44751e-04 -9.58735e-04 -4.26955e-07 2.21508e-06 2.27774e-06 -2.70207e-07 -1.96395e-06 -6.76928e-06 6.88752e-10 -2.14297e-09 -1.49955e-09 1.86447e-09 3.40537e-09 3.85478e-09 -5.74581e-10 -1.12764e-09 -2.73346e-09 -1.54449e-08

#tpc5k_z0_q1
1 0 0 20
# precision: tgt 5.00e-03 max 1.57e-01 (3133.3%) avg 1.81e-02 (361.1%)
4.01193e+00 1.40388e-01 1.49242e-01 8.32383e-02 -4.16824e-04 -3.55078e-04 3.18925e-04 -1.80869e-04 4.59138e-04 2.55785e-04 6.61854e-08 -8.55221e-08 -8.49402e-07 3.05337e-08 -7.57334e-07 5.16976e-08 -5.32562e-08 -4.02475e-07 3.12437e-07 2.10627e-07
# precision: tgt 5.00e-03 max 2.22e-01 (4435.5%) avg 2.28e-02 (455.5%)
-7.64698e-01 1.45876e-01 1.68224e-01 5.92351e-02 -1.80490e-04 -3.58545e-04 4.45133e-04 -4.90443e-04 3.94861e-04 2.13466e-04 -4.15130e-08 3.24562e-08 -3.92877e-07 -1.11452e-07 -7.76003e-07 2.98559e-07 1.04003e-07 -9.75852e-07 9.40970e-08 1.83725e-07
# precision: tgt 5.00e-03 max 4.20e-01 (8397.6%) avg 3.51e-02 (702.6%)
-1.04381e+02 2.03601e-01 2.30910e-01 -5.59385e-01 1.32419e-04 4.59937e-04 9.90404e-04 1.16305e-04 1.08835e-03 -8.90548e-04 -3.22776e-07 -4.55142e-07 -4.82080e-08 -4.73854e-07 5.68610e-07 1.09074e-06 -3.68845e-07 -1.16492e-07 1.17004e-06 -4.19662e-07

#tpc5k_z0_q2
1 0 1 20
# precision: tgt 5.00e-03 max 1.94e-01 (3888.7%) avg 2.28e-02 (456.5%)
-8.33485e+00 1.55707e-01 -1.67216e-01 -1.15469e-01 5.01358e-04 -4.09511e-04 3.25533e-04 1.89208e-04 -5.15089e-04 -3.25543e-04 9.22254e-08 1.17947e-07 1.01170e-06 1.52164e-08 -8.92966e-07 -1.44741e-09 5.65271e-08 4.25085e-07 -3.47878e-07 -2.54793e-07
# precision: tgt 5.00e-03 max 2.02e-01 (4045.9%) avg 2.28e-02 (456.1%)
4.38169e-02 -1.67374e-01 1.88766e-01 7.26570e-02 -2.05233e-04 3.75544e-04 -5.15674e-04 -5.12699e-04 4.62898e-04 2.55121e-04 5.90874e-08 1.16884e-08 -4.61745e-07 1.30572e-07 8.28608e-07 -3.47101e-07 7.88569e-08 -1.04463e-06 1.40670e-07 2.19085e-07
# precision: tgt 5.00e-03 max 4.11e-01 (8225.0%) avg 3.80e-02 (759.0%)
-1.14561e+02 -2.41849e-01 2.34486e-01 -6.09737e-01 1.25291e-04 -5.23710e-04 -1.15482e-03 1.67117e-04 1.14378e-03 -9.62964e-04 3.95199e-07 -5.40824e-07 -1.35540e-07 5.00920e-07 -6.47620e-07 -1.24673e-06 -3.92877e-07 -3.61369e-08 1.25949e-06 -4.45554e-07

#tpc5k_z0_q3
1 0 2 20
# precision: tgt 5.00e-03 max 1.76e-01 (3519.1%) avg 2.08e-02 (415.7%)
-1.75241e+01 1.14810e-01 1.25868e-01 -1.53331e-01 4.44962e-04 2.87736e-04 2.11800e-04 1.38653e-04 3.96990e-04 -3.76607e-04 9.02670e-08 -1.54441e-07 9.09126e-07 -1.65129e-08 6.79717e-07 -7.17378e-08 -5.46171e-08 3.30517e-07 2.71449e-07 -2.78023e-07
# precision: tgt 5.00e-03 max 1.69e-01 (3385.6%) avg 1.86e-02 (371.9%)
-8.90071e+00 1.27835e-01 1.18023e-01 -1.03692e-01 1.51593e-04 2.79263e-04 4.01290e-04 3.99591e-04 2.45963e-04 -2.83415e-04 -6.57708e-08 -1.87051e-08 3.65158e-07 -1.34121e-07 6.53055e-07 2.71359e-07 5.11703e-08 8.38570e-07 -1.73025e-08 -2.21299e-07
# precision: tgt 5.00e-03 max 3.28e-01 (6564.9%) avg 3.46e-02 (691.4%)
-4.81002e+01 -1.81770e-01 -1.41823e-01 -2.54307e-01 1.30618e-04 5.26773e-04 -9.25231e-04 1.77750e-04 -7.88332e-04 -3.33107e-04 3.79695e-07 4.74588e-07 -1.05868e-07 4.46506e-07 6.97313e-07 -1.03465e-06 3.46690e-07 1.81098e-08 -9.26740e-07 -7.51890e-08

#tpc5k_z0_q4
1 0 3 20
# precision: tgt 5.00e-03 max 1.47e-01 (2945.6%) avg 1.60e-02 (319.2%)
1.37288e+01 9.34913e-02 -1.07091e-01 1.22391e-01 -3.60593e-04 2.35309e-04 1.80219e-04 -1.30901e-04 -3.36807e-04 3.05499e-04 6.23337e-08 1.22445e-07 -7.48140e-07 -4.48379e-09 5.48692e-07 -4.45963e-08 5.27015e-08 -3.10453e-07 -2.30586e-07 2.30226e-07
# precision: tgt 5.00e-03 max 1.52e-01 (3044.6%) avg 1.78e-02 (356.4%)
-1.23260e+01 -1.10143e-01 9.85366e-02 -1.15870e-01 1.20925e-04 -2.63350e-04 -3.47447e-04 3.76462e-04 1.81852e-04 -2.93243e-04 4.77708e-08 -2.60073e-10 2.84593e-07 1.14704e-07 -6.03270e-07 -2.40896e-07 7.47913e-08 7.68853e-07 -6.02755e-08 -2.20389e-07
# precision: tgt 5.00e-03 max 2.73e-01 (5465.9%) avg 3.12e-02 (623.4%)
-6.02831e+01 1.52278e-01 -1.31938e-01 -3.31038e-01 1.27829e-04 -4.58658e-04 7.88811e-04 1.22756e-04 -7.05256e-04 -5.02240e-04 -3.03787e-07 3.84469e-07 -3.49124e-08 -4.15783e-07 -6.13167e-07 9.00804e-07 3.21529e-07 -6.83852e-08 -8.08189e-07 -2.02800e-07

#tpc5k_z1_q1
1 1 0 20
# precision: tgt 5.00e-03 max 5.11e-02 (1021.6%) avg 5.27e-03 (105.5%)
-1.94334e+00 4.60994e-02 4.25683e-02 7.31672e-03 -1.17678e-04 -6.44450e-05 1.40984e-04 -2.90713e-05 1.67841e-04 5.61290e-05 -2.19732e-09 -7.41138e-08 -3.01309e-07 -5.29851e-09 -1.91687e-07 6.07236e-08 -2.84794e-08 -9.17640e-08 1.54057e-07 6.63289e-08
# precision: tgt 5.00e-03 max 6.24e-02 (1248.3%) avg 6.39e-03 (127.8%)
-2.37660e-01 4.26910e-02 4.89300e-02 1.91414e-02 -2.91939e-05 -6.54327e-05 1.68166e-04 -1.26855e-04 1.48016e-04 8.21020e-05 -2.46465e-08 -4.63273e-09 -8.90531e-08 -8.06283e-08 -1.96479e-07 1.54563e-07 1.04466e-09 -3.20532e-07 6.22170e-08 8.44991e-08
# precision: tgt 5.00e-03 max 1.24e-01 (2487.6%) avg 9.76e-03 (195.2%)
-1.58430e+01 3.49742e-02 3.70563e-02 -1.22087e-01 6.90863e-05 1.79872e-04 2.41284e-04 6.92154e-05 2.48493e-04 -2.16178e-04 -1.06535e-07 -1.07166e-07 4.82090e-08 -1.09487e-07 3.23033e-07 3.44056e-07 -1.18113e-07 3.93134e-08 3.47993e-07 -1.02387e-07

#tpc5k_z1_q2
1 1 1 20
# precision: tgt 5.00e-03 max 5.89e-02 (1178.5%) avg 6.60e-03 (131.9%)
-3.02758e+00 4.80477e-02 -4.69819e-02 -4.09680e-02 1.39584e-04 -8.19632e-05 1.31576e-04 3.11967e-05 -1.81764e-04 -1.28746e-04 7.96398e-09 8.03764e-08 3.45347e-07 -6.19853e-09 -2.35831e-07 2.94852e-08 2.82717e-08 9.68258e-08 -1.62352e-07 -1.15975e-07
# precision: tgt 5.00e-03 max 6.42e-02 (1284.4%) avg 6.54e-03 (130.8%)
-5.13714e-02 -4.67708e-02 5.37712e-02 2.23540e-02 -3.75553e-05 7.00980e-05 -1.80631e-04 -1.34181e-04 1.64319e-04 9.27217e-05 2.90836e-08 -7.41799e-09 -1.12463e-07 8.34488e-08 2.10111e-07 -1.60496e-07 -4.33126e-09 -3.42442e-07 7.27534e-08 9.40928e-08
# precision: tgt 5.00e-03 max 1.13e-01 (2251.4%) avg 1.08e-02 (216.1%)
-1.61880e+01 -4.58795e-02 4.15519e-02 -1.20598e-01 6.20834e-05 -1.91803e-04 -2.88381e-04 7.98251e-05 2.78094e-04 -2.02692e-04 1.24631e-07 -1.28505e-07 1.22435e-08 1.14800e-07 -3.36810e-07 -3.89249e-07 -1.23271e-07 5.79229e-08 3.89734e-07 -8.38674e-08

#tpc5k_z1_q3
1 1 2 20
# precision: tgt 5.00e-03 max 6.17e-02 (1233.5%) avg 6.36e-03 (127.2%)
-3.13041e+00 4.01701e-02 3.77397e-02 -3.80737e-02 1.38428e-04 7.06456e-05 9.98819e-05 3.05812e-05 1.44002e-04 -1.15389e-04 1.20830e-08 -7.50461e-08 3.39108e-07 -5.05083e-10 2.05512e-07 -1.12124e-09 -2.30742e-08 9.09377e-08 1.25153e-07 -1.01784e-07
# precision: tgt 5.00e-03 max 5.20e-02 (1040.9%) avg 5.49e-03 (109.9%)
-8.98714e-01 3.97987e-02 3.83057e-02 -2.39421e-02 3.30676e-05 6.74148e-05 1.52375e-04 1.23621e-04 1.00277e-04 -8.68921e-05 -2.64382e-08 -6.13161e-10 9.90468e-08 -6.81336e-08 1.95196e-07 1.33325e-07 4.91453e-09 3.09863e-07 8.89074e-09 -8.36158e-08
# precision: tgt 5.00e-03 max 1.07e-01 (2134.1%) avg 9.83e-03 (196.7%)
-1.01575e+01 -4.80139e-02 -4.11621e-02 -8.16749e-02 4.76641e-05 1.66785e-04 -2.86674e-04 5.39704e-05 -2.60924e-04 -1.21037e-04 1.21517e-07 1.11031e-07 -1.45647e-08 1.06080e-07 2.91320e-07 -3.77263e-07 1.10320e-07 9.03694e-09 -3.55587e-07 -2.81117e-08

#tpc5k_z1_q4
1 1 3 20
# precision: tgt 5.00e-03 max 5.59e-02 (1117.5%) avg 5.12e-03 (102.5%)
2.81050e+00 3.80321e-02 -3.50623e-02 3.44867e-02 -1.16079e-04 5.29015e-05 1.08546e-04 -2.88865e-05 -1.37319e-04 1.07480e-04 3.11420e-09 6.77070e-08 -2.92963e-07 1.19872e-09 1.59707e-07 2.97676e-08 2.33784e-08 -8.67005e-08 -1.24592e-07 9.85518e-08
# precision: tgt 5.00e-03 max 5.21e-02 (1041.7%) avg 5.37e-03 (107.4%)
-1.55528e+00 -3.58222e-02 3.55155e-02 -2.63848e-02 2.39935e-05 -6.29257e-05 -1.40557e-04 1.15570e-04 9.28834e-05 -8.88851e-05 2.23547e-08 2.13247e-09 7.42369e-08 6.56026e-08 -1.82106e-07 -1.28313e-07 9.46074e-09 2.86932e-07 7.96651e-09 -8.33777e-08
# precision: tgt 5.00e-03 max 9.95e-02 (1990.2%) avg 8.71e-03 (174.2%)
-7.01590e+00 4.05247e-02 -3.71189e-02 -6.40882e-02 5.40164e-05 -1.53360e-04 2.53599e-04 4.20187e-05 -2.32143e-04 -9.15345e-05 -1.02934e-07 8.71664e-08 2.07053e-08 -9.93937e-08 -2.76068e-07 3.46762e-07 1.03708e-07 -1.09573e-08 -3.14024e-07 -1.45353e-08

#tpc5k_z10_q1
1 10 0 20
# precision: tgt 5.00e-03 max 4.16e-04 (8.3%) avg 4.74e-05 (0.9%)
9.90131e-04 -7.13563e-06 -1.74869e-05 -1.11224e-06 5.00105e-08 1.41749e-07 1.52445e-06 4.34183e-08 -8.40144e-08 1.03098e-07 -1.44672e-10 -1.80722e-10 -1.30368e-10 -3.18976e-10 9.61181e-11 -3.94868e-10 -2.43513e-11 5.57096e-12 -3.56355e-10 -5.59151e-11
# precision: tgt 5.00e-03 max 3.15e-04 (6.3%) avg 4.41e-05 (0.9%)
-7.77090e-04 1.04234e-05 2.48199e-05 3.55753e-05 -5.17269e-08 -1.73908e-07 2.48311e-08 -1.36821e-07 1.64401e-06 -4.78343e-08 8.98122e-11 3.36572e-10 -1.18113e-10 4.07817e-10 4.55933e-12 2.17130e-10 2.66959e-10 -3.66980e-10 1.40951e-10 4.64719e-11
# precision: tgt 5.00e-03 max 1.19e-03 (23.9%) avg 1.95e-04 (3.9%)
5.00976e+00 -7.97773e-05 4.68260e-06 -6.45854e-06 1.26834e-06 4.53002e-07 3.89646e-08 9.45923e-07 -9.26280e-08 -1.60382e-06 -1.07055e-09 -1.35170e-09 1.80975e-11 -8.71352e-10 4.48689e-10 4.28373e-10 -2.93069e-10 1.72337e-10 5.29299e-10 5.66537e-10

#tpc5k_z10_q2
1 10 1 20
# precision: tgt 5.00e-03 max 6.30e-04 (12.6%) avg 7.21e-05 (1.4%)
-1.00516e-03 -6.96092e-07 1.60613e-05 -1.29754e-05 -1.14672e-07 1.34283e-07 1.62169e-06 -1.42990e-07 1.64405e-08 1.02718e-07 -2.21713e-10 3.69782e-10 6.45096e-10 -3.42835e-10 -1.86383e-10 2.42119e-10 3.15045e-10 -1.14147e-10 -3.68933e-10 -7.82283e-11
# precision: tgt 5.00e-03 max 5.91e-04 (11.8%) avg 6.75e-05 (1.3%)
7.04521e-06 1.39095e-06 1.27897e-05 4.58994e-05 2.64504e-08 4.15599e-08 3.80714e-08 -7.00995e-08 1.56829e-06 -2.18538e-08 6.66327e-11 8.44685e-11 5.58752e-12 -3.13738e-10 3.68405e-10 7.14393e-13 1.34689e-10 -2.20672e-10 8.75008e-12 -1.51674e-10
# precision: tgt 5.00e-03 max 1.06e-03 (21.1%) avg 1.84e-04 (3.7%)
5.01270e+00 1.04950e-04 -5.52190e-05 -9.48631e-06 1.57355e-06 -1.04912e-06 1.46637e-07 1.31711e-06 -7.46199e-08 -1.58721e-06 1.75093e-09 -2.83358e-09 2.12068e-10 2.43868e-09 -3.56197e-10 -6.39376e-10 -1.01497e-09 1.38268e-10 1.22696e-10 -3.21300e-10

#tpc5k_z10_q3
1 10 2 20
# precision: tgt 5.00e-03 max 5.09e-04 (10.2%) avg 7.42e-05 (1.5%)
-1.15286e-03 -1.38433e-06 -1.94454e-05 -1.61154e-05 -1.18009e-07 -9.80458e-08 1.64243e-06 -1.56284e-07 -3.15417e-08 3.40334e-08 -2.16233e-10 -3.52090e-10 6.57118e-10 -2.41532e-10 3.19983e-10 2.40620e-10 -3.35119e-10 -4.78907e-11 -3.45006e-11 -3.32164e-10
# precision: tgt 5.00e-03 max 4.86e-04 (9.7%) avg 7.77e-05 (1.6%)
4.17861e-04 8.99812e-06 1.59032e-05 4.11196e-05 7.49792e-08 7.19085e-08 1.22508e-08 8.71736e-08 1.62738e-06 -1.75320e-08 1.60259e-10 2.29346e-10 9.77581e-11 3.57744e-10 3.94911e-11 7.72700e-11 1.40367e-10 8.05288e-10 4.32348e-11 -1.88886e-10
# precision: tgt 5.00e-03 max 1.17e-03 (23.3%) avg 2.02e-04 (4.0%)
5.01220e+00 9.27906e-05 1.43184e-04 -1.29052e-05 1.50115e-06 9.63143e-07 1.35063e-07 1.45168e-06 -2.80034e-09 -1.61058e-06 1.61174e-09 2.48748e-09 2.51734e-10 2.46045e-09 1.75174e-10 -8.00061e-10 1.54128e-09 2.97787e-11 -4.95516e-10 -4.31061e-10

#tpc5k_z10_q4
1 10 3 20
# precision: tgt 5.00e-03 max 2.53e-04 (5.1%) avg 4.11e-05 (0.8%)
-5.46629e-05 9.05255e-06 -7.94756e-07 -1.71032e-05 -3.91338e-08 8.82055e-09 1.65199e-06 -4.94369e-08 -5.31144e-08 3.79536e-08 2.46434e-11 -8.28720e-11 -4.02994e-10 4.49960e-11 3.80562e-10 -2.14582e-10 -1.29313e-10 -1.99325e-10 -3.22527e-11 -1.39351e-10
# precision: tgt 5.00e-03 max 2.32e-04 (4.6%) avg 3.92e-05 (0.8%)
-3.30137e-04 3.61402e-07 1.67521e-06 3.45156e-05 1.34911e-08 -5.47364e-08 4.15672e-08 9.16181e-09 1.51366e-06 -2.58783e-09 -3.67276e-11 1.41195e-10 -1.22354e-10 -1.07848e-10 9.93457e-12 1.16417e-11 2.47612e-11 4.02891e-10 -1.87156e-10 9.87476e-12
# precision: tgt 5.00e-03 max 1.23e-03 (24.5%) avg 2.37e-04 (4.7%)
5.01421e+00 -1.44438e-04 1.70931e-04 -6.22045e-06 1.58376e-06 -1.17148e-06 -9.23968e-09 1.56179e-06 1.03061e-07 -1.66902e-06 -1.58295e-09 2.83513e-09 1.97713e-10 -2.80936e-09 -4.70541e-10 4.99643e-10 1.66637e-09 3.46845e-10 -8.44981e-10 -3.98934e-11

#tpc5k_z11_q1
1 11 0 20
# precision: tgt 5.00e-03 max 3.83e-04 (7.7%) avg 5.06e-05 (1.0%)
-1.37541e-03 2.06979e-05 1.26751e-05 6.14543e-06 -4.58497e-08 -7.99172e-08 1.39239e-06 -8.05789e-08 -1.64586e-07 6.76996e-08 -5.53174e-11 2.09624e-10 3.35500e-10 7.58615e-11 6.55881e-10 -7.16023e-11 1.54030e-10 3.92778e-10 -2.01448e-10 -1.41777e-12
# precision: tgt 5.00e-03 max 3.68e-04 (7.4%) avg 5.01e-05 (1.0%)
-1.92464e-03 2.77522e-05 3.56675e-05 6.24013e-05 -1.28017e-07 -2.72552e-07 -1.87114e-07 -1.58321e-07 1.33359e-06 -2.00510e-09 2.11992e-10 4.72139e-10 3.46394e-10 5.65881e-10 7.89905e-10 -2.66063e-11 2.39064e-10 5.19031e-10 -2.75501e-11 1.51744e-10
# precision: tgt 5.00e-03 max 6.03e-04 (12.1%) avg 8.47e-05 (1.7%)
5.00917e+00 -4.78811e-05 -3.96866e-06 -1.82711e-05 9.83954e-07 3.39991e-07 1.65129e-07 1.08103e-06 5.72864e-08 -1.72196e-06 -4.03642e-10 -8.14646e-10 -2.16084e-10 -8.29110e-10 -3.89342e-10 7.22543e-10 -6.70201e-10 -1.11113e-10 5.45290e-10 3.24121e-10

#tpc5k_z11_q2
1 11 1 20
# precision: tgt 5.00e-03 max 5.90e-04 (11.8%) avg 7.64e-05 (1.5%)
-3.68337e-04 3.08983e-06 1.05466e-05 -2.60362e-05 -1.14748e-07 1.08041e-07 1.50693e-06 -1.23176e-07 1.16869e-07 7.70385e-08 -2.51120e-10 2.45382e-10 3.93252e-10 -4.08177e-10 1.24635e-10 4.36300e-10 2.77216e-10 -2.06123e-10 -1.60273e-10 -1.98067e-10
# precision: tgt 5.00e-03 max 5.64e-04 (11.3%) avg 6.13e-05 (1.2%)
-1.05191e-03 -1.91221e-05 2.13794e-05 4.30721e-05 -8.12974e-08 1.52160e-07 2.71323e-08 -8.55057e-08 1.58539e-06 -3.61498e-08 -1.17927e-10 3.46449e-10 8.38984e-12 -4.95323e-10 3.23030e-10 -1.04522e-10 1.14768e-10 -2.46779e-10 3.13990e-10 3.90135e-11
# precision: tgt 5.00e-03 max 4.85e-04 (9.7%) avg 7.18e-05 (1.4%)
5.00988e+00 3.35489e-05 -7.93376e-06 -2.17480e-05 1.06070e-06 -4.33221e-07 7.79056e-08 1.06419e-06 2.65621e-08 -1.55857e-06 6.50478e-10 -1.10475e-09 2.52053e-10 1.08298e-09 2.00464e-10 -4.13072e-10 -5.75419e-10 1.07535e-10 5.71885e-11 1.26335e-10

#tpc5k_z11_q3
1 11 2 20
# precision: tgt 5.00e-03 max 3.22e-04 (6.4%) avg 3.79e-05 (0.8%)
4.60733e-05 1.39503e-05 3.43145e-06 -2.08996e-05 -1.57577e-08 2.59038e-08 1.59339e-06 -4.73253e-09 -4.83730e-08 1.01142e-07 2.37250e-11 1.73436e-11 6.61440e-10 -1.67591e-11 4.87865e-11 3.20684e-10 1.34294e-11 -5.72138e-12 1.63391e-10 -2.70278e-10
# precision: tgt 5.00e-03 max 3.24e-04 (6.5%) avg 4.33e-05 (0.9%)
7.81686e-04 5.31201e-06 1.20774e-05 3.44067e-05 4.22014e-09 -5.21875e-10 -5.12029e-08 3.39259e-08 1.54788e-06 1.56728e-08 -4.78397e-11 -6.04294e-11 -6.45387e-11 8.01606e-11 7.18762e-11 1.11975e-10 1.54233e-11 5.90541e-10 2.50950e-10 -7.39999e-11
# precision: tgt 5.00e-03 max 5.55e-04 (11.1%) avg 8.17e-05 (1.6%)
5.00861e+00 1.59190e-05 7.11014e-05 -1.72922e-05 9.77996e-07 2.89244e-07 3.54467e-08 9.56123e-07 -9.71572e-08 -1.71407e-06 5.27447e-10 7.42252e-10 -3.04741e-11 7.73252e-10 -3.52864e-10 -9.91741e-10 4.85236e-10 -2.32843e-10 -8.98862e-10 3.40627e-10

#tpc5k_z11_q4
1 11 3 20
# precision: tgt 5.00e-03 max 5.41e-04 (10.8%) avg 3.99e-05 (0.8%)
-1.42575e-03 2.57976e-05 -1.60254e-05 -2.72608e-06 -9.80368e-08 1.29266e-07 1.47553e-06 -1.05065e-07 3.56170e-08 3.87980e-08 8.74609e-11 -2.36429e-10 1.87492e-10 3.44092e-10 -1.32342e-10 -6.22381e-11 -1.90712e-10 -5.91282e-11 9.89997e-12 1.94466e-11
# precision: tgt 5.00e-03 max 4.27e-04 (8.5%) avg 6.69e-05 (1.3%)
2.87378e-04 -4.72606e-06 2.68674e-06 3.13196e-05 3.26610e-08 1.54573e-08 1.28576e-07 -1.89626e-09 1.50740e-06 -2.73887e-08 -6.78086e-11 -1.16313e-10 -3.48421e-10 1.35783e-10 3.10972e-10 1.26944e-10 -2.00766e-12 4.23191e-10 -4.61567e-11 -1.99184e-10
# precision: tgt 5.00e-03 max 6.88e-04 (13.8%) avg 8.82e-05 (1.8%)
5.00915e+00 -5.11573e-05 8.00790e-05 -1.58067e-05 1.01236e-06 -3.34830e-07 1.43111e-07 1.02169e-06 -7.50937e-08 -1.70613e-06 -4.63268e-10 8.24719e-10 -1.53317e-10 -8.12872e-10 4.11254e-10 6.61117e-10 6.41403e-10 -1.58095e-10 -8.38892e-10 2.89524e-10

#tpc5k_z12_q1
1 12 0 20
# precision: tgt 5.00e-03 max 3.17e-04 (6.3%) avg 5.35e-05 (1.1%)
-3.80751e-04 1.34771e-05 3.44886e-06 -1.71541e-05 -6.44497e-08 -4.27961e-08 1.65084e-06 -5.70058e-08 4.41123e-09 1.07065e-07 8.49154e-11 2.77160e-10 -4.04837e-10 -2.94548e-12 -1.00559e-11 -2.32968e-10 1.56325e-10 5.40279e-11 -3.99005e-10 7.53313e-11
# precision: tgt 5.00e-03 max 3.00e-04 (6.0%) avg 5.44e-05 (1.1%)
-6.50066e-04 1.53213e-05 2.34161e-05 3.69977e-05 -9.41233e-08 -2.07593e-07 4.29512e-09 -1.47221e-07 1.62311e-06 3.74779e-08 2.06004e-10 3.15700e-10 1.93467e-11 6.10404e-10 -2.47237e-12 -3.61719e-10 3.15265e-10 -3.12084e-10 -1.49651e-10 1.73836e-10
# precision: tgt 5.00e-03 max 5.76e-04 (11.5%) avg 6.29e-05 (1.3%)
5.00938e+00 -5.05652e-05 -3.04393e-06 -3.26295e-05 1.01628e-06 2.99380e-07 2.64688e-07 1.07401e-06 1.57590e-07 -1.65796e-06 -5.34547e-10 -6.70209e-10 -2.55060e-10 -6.77581e-10 -9.96123e-10 4.17425e-10 -6.82440e-10 -2.21567e-10 4.25957e-10 1.78310e-10

#tpc5k_z12_q2
1 12 1 20
# precision: tgt 5.00e-03 max 4.69e-04 (9.4%) avg 7.92e-05 (1.6%)
-3.66328e-04 6.94624e-06 1.28406e-05 -2.46765e-05 -7.09681e-08 1.10715e-07 1.52026e-06 -1.30215e-07 8.26335e-08 5.53754e-08 -1.45004e-10 1.77404e-10 3.67395e-10 -5.06102e-10 2.48484e-10 7.25958e-11 2.63635e-10 -1.58734e-10 2.15217e-10 -3.65808e-10
# precision: tgt 5.00e-03 max 3.59e-04 (7.2%) avg 5.55e-05 (1.1%)
-4.47784e-04 -1.05427e-05 1.81170e-05 3.56714e-05 -4.54063e-08 8.48753e-08 1.35695e-08 -1.05473e-07 1.63857e-06 4.73150e-08 -9.61527e-11 5.64348e-11 3.93210e-11 -4.57919e-10 1.38593e-10 3.00957e-10 2.13017e-10 -4.14254e-10 -7.53242e-12 2.88465e-11
# precision: tgt 5.00e-03 max 5.19e-04 (10.4%) avg 6.73e-05 (1.3%)
5.00973e+00 3.00864e-05 -3.78518e-06 -3.17594e-05 1.03443e-06 -3.44411e-07 -9.57573e-08 1.04978e-06 1.26575e-07 -1.62648e-06 5.96875e-10 -8.13720e-10 -2.63233e-10 8.20711e-10 9.67119e-10 -7.13421e-10 -5.77739e-10 -1.58874e-10 4.79859e-10 -2.63216e-12

#tpc5k_z12_q3
1 12 2 20
# precision: tgt 5.00e-03 max 2.72e-04 (5.4%) avg 3.77e-05 (0.8%)
-4.89861e-04 1.16200e-05 -6.10809e-06 -1.52181e-05 -7.95064e-09 -3.45718e-08 1.57951e-06 -5.66172e-08 -2.69318e-08 1.19269e-08 5.57194e-11 -4.70033e-11 5.30266e-10 -2.34838e-10 -4.12565e-11 5.40974e-11 -7.50244e-11 -4.53419e-11 -2.26348e-10 -1.93685e-10
# precision: tgt 5.00e-03 max 4.15e-04 (8.3%) avg 5.07e-05 (1.0%)
9.39925e-04 6.49823e-06 1.97509e-05 3.70457e-05 3.95496e-09 2.29106e-08 -7.11817e-08 9.78870e-08 1.53379e-06 -5.72373e-08 -5.34553e-11 -9.69885e-11 -1.86427e-10 1.85348e-10 -1.52868e-10 -2.06689e-10 1.61554e-10 5.00155e-10 -6.89540e-11 -1.27627e-10
# precision: tgt 5.00e-03 max 5.05e-04 (10.1%) avg 7.42e-05 (1.5%)
5.00825e+00 1.01124e-05 6.35677e-05 -2.40898e-05 9.61054e-07 1.91959e-07 -8.08551e-09 9.24600e-07 -1.34856e-07 -1.66677e-06 5.51675e-10 5.03563e-10 1.68245e-11 4.96919e-10 -6.88668e-10 -7.89628e-10 4.72447e-10 -2.26767e-10 -8.45250e-10 1.16306e-10

#tpc5k_z12_q4
1 12 3 20
# precision: tgt 5.00e-03 max 3.44e-04 (6.9%) avg 3.85e-05 (0.8%)
-3.83000e-04 1.40620e-05 -2.29610e-06 -1.28406e-05 -8.33731e-08 2.68554e-08 1.64790e-06 -3.89411e-08 2.59537e-09 4.33634e-08 1.54772e-10 -1.63783e-10 -3.91090e-10 1.61845e-11 9.43470e-11 -1.74075e-10 -8.58267e-11 3.16964e-11 2.90724e-10 2.72122e-10
# precision: tgt 5.00e-03 max 5.41e-04 (10.8%) avg 6.89e-05 (1.4%)
7.54080e-04 -1.04682e-05 1.48644e-05 3.36883e-05 6.63946e-08 -5.78208e-08 9.83566e-08 8.48932e-08 1.51969e-06 -4.09488e-08 -1.53592e-10 -5.11314e-11 -2.85142e-10 -1.29888e-10 3.50302e-10 3.24424e-10 1.71721e-10 4.11310e-10 -2.14880e-10 -3.01957e-10
# precision: tgt 5.00e-03 max 5.19e-04 (10.4%) avg 8.81e-05 (1.8%)
5.00868e+00 -4.34278e-05 7.12598e-05 -2.33961e-05 9.88753e-07 -2.27180e-07 1.86355e-07 9.83512e-07 -1.23940e-07 -1.66361e-06 -4.85950e-10 5.30041e-10 -1.28831e-10 -5.43281e-10 8.26309e-10 5.64241e-10 6.06125e-10 -2.14987e-10 -8.86473e-10 5.25923e-11

#tpc5k_z13_q1
1 13 0 20
# precision: tgt 5.00e-03 max 5.19e-04 (10.4%) avg 7.21e-05 (1.4%)
1.65238e-03 -1.66438e-05 -1.70863e-05 -2.95958e-05 4.29040e-08 4.40365e-08 1.92484e-06 -1.19455e-08 2.07107e-07 6.43385e-10 3.65631e-11 3.36087e-10 -1.35625e-09 -1.61435e-10 -6.55796e-10 -1.48356e-10 1.59863e-10 -2.50707e-10 -7.07500e-10 5.22497e-10
# precision: tgt 5.00e-03 max 4.20e-04 (8.4%) avg 5.26e-05 (1.1%)
2.04509e-03 -9.25507e-06 -1.08454e-05 1.28252e-05 -2.52490e-08 -8.98572e-08 2.07244e-07 -2.29470e-08 1.91397e-06 3.70416e-08 1.72153e-10 7.77379e-11 -3.09984e-10 6.38223e-10 -7.15803e-10 -6.18538e-10 2.42492e-10 -1.31185e-09 -5.55720e-11 2.44208e-10
# precision: tgt 5.00e-03 max 4.78e-04 (9.6%) avg 6.80e-05 (1.4%)
5.00821e+00 -4.54813e-05 2.30099e-06 -1.30468e-05 1.05093e-06 2.94583e-07 1.26413e-07 1.09727e-06 3.44900e-08 -1.71309e-06 -7.14074e-10 -6.04841e-10 -4.39332e-11 -6.05169e-10 -1.28700e-09 9.85744e-10 -8.19651e-10 -5.06899e-11 9.63752e-10 -8.39554e-11

#tpc5k_z13_q2
1 13 1 20
# precision: tgt 5.00e-03 max 5.25e-04 (10.5%) avg 9.01e-05 (1.8%)
-2.56793e-03 -2.14324e-06 2.08604e-05 1.85285e-05 -4.55411e-08 8.11215e-08 1.76102e-06 -1.22747e-07 -9.83446e-08 -1.44355e-07 3.63876e-11 -1.12109e-10 1.02243e-09 -4.80155e-10 -1.31585e-10 -1.54563e-10 1.87190e-10 6.71465e-11 6.49474e-10 1.78002e-11
# precision: tgt 5.00e-03 max 5.40e-04 (10.8%) avg 7.62e-05 (1.5%)
9.94929e-04 9.04841e-07 -8.35451e-07 2.25772e-05 -3.39937e-08 6.12862e-08 -1.34290e-07 -4.88890e-08 1.86284e-06 -4.94334e-09 -1.52301e-10 -8.20200e-11 -1.28315e-10 -6.44062e-10 4.55760e-10 6.62836e-10 2.02253e-10 -1.10393e-09 -1.38418e-10 3.92857e-10
# precision: tgt 5.00e-03 max 6.55e-04 (13.1%) avg 7.52e-05 (1.5%)
5.00800e+00 2.20563e-05 2.20441e-06 3.02348e-07 1.03803e-06 -3.09075e-07 1.43417e-08 1.06476e-06 3.50404e-08 -1.82452e-06 6.95053e-10 -6.46019e-10 -1.34248e-10 6.58162e-10 1.37816e-09 -1.32427e-09 -7.01470e-10 -4.74032e-11 1.01064e-09 1.66921e-10

#tpc5k_z13_q3
1 13 2 20
# precision: tgt 5.00e-03 max 4.64e-04 (9.3%) avg 6.38e-05 (1.3%)
-2.79517e-03 -1.18980e-05 -2.53104e-05 1.03399e-05 -5.95238e-08 -9.97014e-08 1.85067e-06 -1.03986e-07 1.66970e-07 -8.25135e-09 1.10098e-10 3.08973e-11 1.28227e-09 -3.94762e-10 4.06509e-10 -1.83827e-10 -1.01604e-10 1.68336e-10 -7.00886e-10 -3.99000e-10
# precision: tgt 5.00e-03 max 5.62e-04 (11.2%) avg 6.75e-05 (1.4%)
-5.58113e-04 -1.31985e-06 9.16521e-06 6.17138e-05 7.35921e-09 5.74574e-08 1.04814e-07 1.17300e-07 1.79435e-06 -8.41936e-08 2.22898e-12 -4.32390e-11 3.18429e-11 4.61366e-10 2.07574e-10 -6.30891e-10 3.57476e-10 1.24692e-09 -3.16734e-10 -3.12193e-10
# precision: tgt 5.00e-03 max 6.88e-04 (13.8%) avg 7.22e-05 (1.4%)
5.00833e+00 1.93836e-05 7.10947e-05 -1.46556e-05 1.02861e-06 2.24107e-07 -3.16479e-08 9.83101e-07 -1.44791e-07 -1.77135e-06 7.22613e-10 4.44899e-10 -1.13550e-10 4.13854e-10 -1.34700e-09 -1.15725e-09 6.26220e-10 -3.50382e-10 -1.26822e-09 1.56457e-10

#tpc5k_z13_q4
1 13 3 20
# precision: tgt 5.00e-03 max 5.45e-04 (10.9%) avg 7.24e-05 (1.4%)
2.44702e-03 -2.05251e-05 2.08090e-05 -4.10657e-05 5.19529e-08 -7.92789e-08 1.93074e-06 3.19461e-08 -1.79281e-07 8.72334e-08 3.95442e-11 -1.72798e-10 -1.32497e-09 -2.25319e-10 6.30792e-10 -1.91685e-10 -3.61378e-12 -1.32514e-10 7.10529e-10 2.96306e-10
# precision: tgt 5.00e-03 max 5.64e-04 (11.3%) avg 7.66e-05 (1.5%)
-2.57885e-04 -8.10653e-06 1.15435e-05 5.64815e-05 9.74469e-08 -1.44242e-07 -8.00672e-08 1.49247e-07 1.77913e-06 -6.03166e-08 -2.65290e-10 1.25051e-10 -6.87973e-12 -5.58452e-10 -1.15519e-10 6.29937e-10 4.50263e-10 1.16070e-09 -3.73836e-10 -3.80902e-10
# precision: tgt 5.00e-03 max 7.04e-04 (14.1%) avg 9.49e-05 (1.9%)
5.00778e+00 -4.02890e-05 7.06904e-05 -4.92635e-06 1.01281e-06 -2.11740e-07 1.15218e-07 1.02347e-06 -6.55930e-08 -1.78210e-06 -6.14922e-10 3.78024e-10 -7.60008e-11 -4.23836e-10 1.30097e-09 1.07319e-09 7.35376e-10 -2.81220e-10 -1.45823e-09 7.97548e-11

#tpc5k_z14_q1
1 14 0 20
# precision: tgt 5.00e-03 max 9.02e-04 (18.0%) avg 1.02e-04 (2.0%)
5.37848e-03 -5.25627e-05 -3.14097e-05 -7.13560e-05 1.87566e-07 1.31712e-08 2.21365e-06 -4.49646e-08 4.43318e-07 1.01742e-07 1.18642e-11 8.02045e-10 -2.57239e-09 -9.56293e-11 -1.25314e-09 4.32758e-11 3.20798e-10 -4.69454e-10 -1.10484e-09 3.59941e-10
# precision: tgt 5.00e-03 max 5.70e-04 (11.4%) avg 7.84e-05 (1.6%)
4.25431e-03 -3.66263e-05 -5.37875e-05 1.13645e-05 -1.29369e-08 -8.37556e-08 5.21916e-07 1.37286e-07 2.24475e-06 -1.55452e-07 2.80887e-10 3.15979e-11 -6.25309e-10 1.05182e-09 -1.31159e-09 -1.20294e-09 2.07851e-10 -2.56772e-09 3.43322e-11 7.84796e-10
# precision: tgt 5.00e-03 max 6.95e-04 (13.9%) avg 1.03e-04 (2.1%)
5.00012e+00 -1.34722e-05 3.14108e-05 1.01243e-04 1.03738e-06 3.13638e-07 -2.75781e-07 1.08827e-06 -3.30398e-07 -2.18441e-06 -8.42477e-10 -3.17313e-10 1.55685e-10 -2.98224e-10 -2.29756e-09 2.50926e-09 -9.58728e-10 1.33412e-10 2.35986e-09 2.04950e-10

#tpc5k_z14_q2
1 14 1 20
# precision: tgt 5.00e-03 max 6.75e-04 (13.5%) avg 1.12e-04 (2.2%)
-6.73000e-03 -4.69181e-05 4.87560e-05 4.92731e-05 -1.44374e-07 4.08829e-08 2.21629e-06 -9.45312e-08 -5.04941e-07 -3.35415e-08 2.24637e-10 -7.47582e-10 2.53156e-09 -3.20246e-10 -1.03042e-09 -1.80747e-10 -1.50351e-11 4.71535e-10 1.37306e-09 -4.93842e-10
# precision: tgt 5.00e-03 max 8.07e-04 (16.1%) avg 9.97e-05 (2.0%)
5.15875e-03 3.33390e-05 -5.57189e-05 -5.47116e-06 -2.18192e-08 2.66544e-08 -4.90735e-07 1.38696e-07 2.28765e-06 -6.83040e-08 -3.07617e-10 -9.17296e-11 -5.66872e-10 -1.06264e-09 1.28802e-09 1.21229e-09 1.26274e-10 -2.43834e-09 -2.10180e-10 6.72601e-10
# precision: tgt 5.00e-03 max 7.58e-04 (15.2%) avg 1.13e-04 (2.3%)
5.00263e+00 -2.39154e-06 2.54685e-05 7.02779e-05 1.06554e-06 -3.44248e-07 3.80133e-07 1.07907e-06 -2.96459e-07 -2.03335e-06 9.23330e-10 -4.64428e-10 9.79213e-11 4.11389e-10 2.25812e-09 -2.65513e-09 -8.92143e-10 1.39063e-10 2.26732e-09 -4.60822e-11

#tpc5k_z14_q3
1 14 2 20
# precision: tgt 5.00e-03 max 8.54e-04 (17.1%) avg 1.05e-04 (2.1%)
-6.61278e-03 -7.35857e-05 -6.15854e-05 2.53707e-05 -2.35438e-07 -1.36505e-07 2.36534e-06 -1.33135e-07 5.51212e-07 1.71692e-07 1.90754e-10 4.97159e-10 2.93768e-09 -4.10738e-10 1.31350e-09 -2.75452e-10 4.25686e-12 6.06851e-10 -1.31380e-09 -9.42273e-10
# precision: tgt 5.00e-03 max 8.67e-04 (17.3%) avg 9.65e-05 (1.9%)
-4.68569e-03 -2.26478e-05 -3.59421e-05 9.89541e-05 5.81585e-08 1.67566e-07 5.02706e-07 4.46664e-08 2.33233e-06 -1.53770e-08 2.28382e-10 2.64115e-10 4.44934e-10 1.22192e-09 1.04688e-09 -1.32715e-09 6.39505e-10 2.88874e-09 -5.36785e-10 -7.16097e-10
# precision: tgt 5.00e-03 max 1.04e-03 (20.7%) avg 1.07e-04 (2.1%)
5.00142e+00 3.41457e-06 5.32416e-05 9.09919e-05 1.10034e-06 3.01390e-07 3.13565e-07 1.04760e-06 2.15275e-07 -2.19872e-06 9.59537e-10 2.66747e-10 -1.54167e-10 2.32047e-10 -2.41954e-09 -2.69359e-09 8.70750e-10 -3.32310e-10 -2.81870e-09 2.97826e-10

#tpc5k_z14_q4
1 14 3 20
# precision: tgt 5.00e-03 max 7.90e-04 (15.8%) avg 1.24e-04 (2.5%)
6.69068e-03 -7.77467e-05 6.33879e-05 -6.16253e-05 2.65816e-07 -1.63880e-07 2.31687e-06 1.05843e-07 -5.55025e-07 -3.12563e-08 -6.88084e-11 -4.93753e-10 -2.69863e-09 -3.67142e-10 1.46700e-09 -9.81199e-11 -9.97382e-12 -5.43391e-10 1.34114e-09 7.02432e-10
# precision: tgt 5.00e-03 max 6.61e-04 (13.2%) avg 9.90e-05 (2.0%)
-2.67460e-03 7.14806e-06 -3.17609e-05 6.73715e-05 1.72761e-07 -2.59777e-07 -4.39424e-07 8.13882e-08 2.29439e-06 1.44484e-07 -5.18565e-10 5.07233e-10 3.58592e-10 -1.29574e-09 -9.91914e-10 1.22306e-09 7.88194e-10 2.88709e-09 -4.32119e-10 -9.88102e-10
# precision: tgt 5.00e-03 max 9.54e-04 (19.1%) avg 1.24e-04 (2.5%)
5.00036e+00 -7.82571e-06 4.99726e-05 9.83421e-05 1.02107e-06 -2.63368e-07 -3.34773e-07 1.09408e-06 3.16746e-07 -2.15650e-06 -7.64221e-10 1.22718e-10 5.37104e-11 -1.81142e-10 2.39161e-09 2.80069e-09 9.65471e-10 -3.74232e-10 -3.13638e-09 6.42641e-11

#tpc5k_z15_q1
1 15 0 20
# precision: tgt 5.00e-03 max 1.21e-03 (24.3%) avg 1.50e-04 (3.0%)
8.51773e-03 -9.60998e-05 -3.68795e-05 -8.90793e-05 2.75351e-07 -3.35887e-07 2.71266e-06 -2.76905e-07 8.97788e-07 -7.55065e-08 3.04642e-10 2.17753e-09 -4.22687e-09 4.86876e-10 -1.70542e-09 -9.95193e-11 8.20635e-10 -5.14061e-10 -2.09309e-09 9.11248e-10
# precision: tgt 5.00e-03 max 1.17e-03 (23.4%) avg 1.42e-04 (2.8%)
9.39695e-03 -4.48197e-05 -8.98011e-05 -4.30658e-05 -2.06418e-07 -4.39076e-07 9.54937e-07 2.12309e-07 2.68280e-06 -1.00717e-07 7.42018e-10 4.96654e-10 -7.30863e-10 2.39580e-09 -1.55978e-09 -2.13645e-09 5.30604e-10 -4.18959e-09 -2.45893e-11 8.70613e-10
# precision: tgt 5.00e-03 max 1.50e-03 (30.1%) avg 2.09e-04 (4.2%)
4.97953e+00 1.05393e-06 5.11035e-05 3.73377e-04 1.23072e-06 8.22426e-07 -8.83749e-07 1.27480e-06 -9.75358e-07 -3.13801e-06 -1.30675e-09 -1.74284e-10 -4.76009e-11 -1.08669e-10 -5.20991e-09 4.91642e-09 -1.46009e-09 5.27328e-12 4.81024e-09 7.77836e-10

#tpc5k_z15_q2
1 15 1 20
# precision: tgt 5.00e-03 max 1.48e-03 (29.7%) avg 1.72e-04 (3.4%)
-1.34454e-02 -1.49699e-04 9.93109e-05 7.45567e-05 -3.91745e-07 -1.55220e-07 3.04245e-06 6.88039e-08 -1.23679e-06 2.28987e-07 5.62751e-10 -2.19874e-09 5.08148e-09 1.82484e-10 -2.21969e-09 -4.47261e-10 -5.12551e-10 8.07345e-10 2.67726e-09 -1.22474e-09
# precision: tgt 5.00e-03 max 1.29e-03 (25.8%) avg 1.55e-04 (3.1%)
1.73247e-02 1.07788e-04 -1.62623e-04 -9.48002e-05 -6.72165e-08 6.54933e-08 -1.25227e-06 4.51267e-07 3.01020e-06 -8.96791e-09 -7.22572e-10 1.79977e-10 -1.21690e-09 -2.01700e-09 2.45826e-09 2.41281e-09 2.35361e-10 -4.66490e-09 -4.04020e-10 8.54142e-10
# precision: tgt 5.00e-03 max 1.64e-03 (32.8%) avg 2.16e-04 (4.3%)
4.98932e+00 -3.07874e-05 5.14038e-05 2.40291e-04 1.29294e-06 -8.36638e-07 1.14102e-06 1.27212e-06 -1.00132e-06 -2.51229e-06 1.46716e-09 -3.17526e-10 -1.40035e-10 2.03333e-10 5.11500e-09 -5.42685e-09 -1.37595e-09 -6.34884e-11 4.89351e-09 -2.05489e-10

#tpc5k_z15_q3
1 15 2 20
# precision: tgt 5.00e-03 max 1.33e-03 (26.7%) avg 1.84e-04 (3.7%)
-8.12193e-03 -1.85918e-04 -1.23380e-04 -2.39858e-05 -6.06944e-07 -7.84944e-08 3.07791e-06 -1.09694e-07 1.18031e-06 6.93736e-07 3.68532e-10 1.70391e-09 5.69744e-09 -1.52909e-10 2.64919e-09 -8.42302e-11 3.50420e-10 1.24038e-09 -2.17149e-09 -1.85883e-09
# precision: tgt 5.00e-03 max 1.51e-03 (30.3%) avg 1.80e-04 (3.6%)
-1.65296e-02 -6.39324e-05 -1.28409e-04 1.99909e-04 2.09886e-07 4.54153e-07 1.17805e-06 -1.73560e-07 3.11615e-06 -1.07135e-07 6.87200e-10 9.61452e-10 8.69829e-10 2.88732e-09 2.24611e-09 -2.43196e-09 1.12706e-09 5.67025e-09 -5.34230e-10 -8.47794e-10
# precision: tgt 5.00e-03 max 1.48e-03 (29.5%) avg 2.17e-04 (4.3%)
4.97144e+00 -6.24211e-05 -1.68747e-05 4.48339e-04 1.28162e-06 7.85504e-07 1.38936e-06 1.24148e-06 1.34467e-06 -3.32119e-06 1.53101e-09 2.47767e-10 -5.23547e-11 2.41069e-10 -4.86491e-09 -5.96045e-09 1.50307e-09 -1.77509e-10 -6.19280e-09 8.18438e-10

#tpc5k_z15_q4
1 15 3 20
# precision: tgt 5.00e-03 max 1.47e-03 (29.3%) avg 1.95e-04 (3.9%)
9.84414e-03 -1.60447e-04 1.26513e-04 -4.41652e-05 4.90006e-07 -9.11091e-08 2.90843e-06 1.29902e-07 -1.15655e-06 -3.89444e-07 2.03703e-10 -1.59254e-09 -4.83885e-09 -2.21817e-10 2.48895e-09 -5.23126e-11 -2.72839e-10 -1.21429e-09 2.18637e-09 1.42304e-09
# precision: tgt 5.00e-03 max 1.56e-03 (31.3%) avg 1.94e-04 (3.9%)
-1.58391e-02 3.90819e-05 -1.30916e-04 1.91537e-04 4.05573e-07 -5.51027e-07 -1.11370e-06 -1.75600e-07 3.09225e-06 -7.70491e-08 -1.12197e-09 1.31163e-09 6.83271e-10 -2.78408e-09 -2.07927e-09 2.42100e-09 1.28854e-09 5.79176e-09 -4.18494e-10 -8.89311e-10
# precision: tgt 5.00e-03 max 1.47e-03 (29.5%) avg 2.19e-04 (4.4%)
4.98206e+00 3.37972e-05 -4.09477e-06 3.16749e-04 1.26674e-06 -7.59767e-07 -1.23389e-06 1.27689e-06 1.27427e-06 -2.75906e-06 -1.38162e-09 1.37757e-10 -6.11226e-11 -1.28005e-10 4.92934e-09 5.73635e-09 1.56540e-09 -2.49941e-10 -6.10543e-09 -1.00494e-12

#tpc5k_z16_q1
1 16 0 20
# precision: tgt 5.00e-03 max 2.34e-03 (46.9%) avg 2.82e-04 (5.6%)
2.03436e-02 -6.42335e-04 -4.68467e-04 9.94173e-05 1.91514e-06 3.34358e-07 5.41118e-06 1.06005e-07 3.72948e-06 -1.82257e-06 4.00394e-10 3.45127e-09 -1.14155e-08 -2.53659e-10 -4.83311e-09 -1.72823e-09 1.09586e-09 -2.11218e-09 -6.53681e-09 4.08836e-09
# precision: tgt 5.00e-03 max 2.55e-03 (51.0%) avg 2.96e-04 (5.9%)
5.43399e-03 -3.91998e-04 -6.50435e-04 3.27791e-04 -6.66556e-08 5.52568e-08 3.44124e-06 1.70298e-06 5.65752e-06 -2.58872e-06 1.26711e-09 2.56851e-10 -1.95927e-09 4.19484e-09 -4.93641e-09 -6.06120e-09 9.21383e-10 -1.14762e-08 -1.99437e-09 4.97165e-09
# precision: tgt 5.00e-03 max 3.77e-03 (75.3%) avg 4.14e-04 (8.3%)
4.90503e+00 5.59821e-06 2.39391e-05 1.21728e-03 2.77195e-06 3.85262e-06 -3.40780e-06 2.78933e-06 -3.28029e-06 -5.36788e-06 -3.91935e-09 -2.41001e-09 -1.74685e-09 -2.22522e-09 -1.36535e-08 1.25531e-08 -4.01230e-09 -1.65684e-09 1.20628e-08 1.45741e-09

#tpc5k_z16_q2
1 16 1 20
# precision: tgt 5.00e-03 max 2.56e-03 (51.2%) avg 2.79e-04 (5.6%)
-2.72217e-03 -5.97847e-04 3.59302e-04 -2.83094e-04 -1.65335e-06 -1.70397e-07 5.48280e-06 1.81764e-07 -3.40595e-06 2.45259e-06 7.57161e-10 -4.05481e-09 1.11690e-08 1.64198e-10 -3.87280e-09 -2.16755e-09 -1.13169e-09 1.24083e-09 6.55503e-09 -4.90351e-09
# precision: tgt 5.00e-03 max 2.59e-03 (51.8%) avg 3.06e-04 (6.1%)
1.96952e-02 4.35652e-04 -7.29714e-04 2.31792e-04 -1.99373e-08 -4.39823e-07 -3.56681e-06 2.03700e-06 5.77603e-06 -2.31728e-06 -1.01908e-09 -3.18072e-10 -1.53406e-09 -3.33392e-09 4.97477e-09 6.46874e-09 3.57323e-10 -1.15352e-08 -2.13255e-09 4.72565e-09
# precision: tgt 5.00e-03 max 4.33e-03 (86.7%) avg 4.43e-04 (8.9%)
4.89974e+00 -4.13192e-05 3.38149e-05 1.27232e-03 2.72396e-06 -3.76613e-06 3.58168e-06 2.80838e-06 -3.35017e-06 -5.56184e-06 3.95176e-09 -2.31702e-09 -1.63226e-09 2.08915e-09 1.35751e-08 -1.27806e-08 -3.94824e-09 -1.86051e-09 1.22555e-08 1.69026e-09

#tpc5k_z16_q3
1 16 2 20
# precision: tgt 5.00e-03 max 2.59e-03 (51.9%) avg 3.03e-04 (6.1%)
-1.79468e-02 -6.29164e-04 -4.01229e-04 -1.59406e-04 -1.78710e-06 -1.05741e-07 5.49163e-06 -1.98682e-08 3.41908e-06 2.06274e-06 3.86565e-10 3.43463e-09 1.09887e-08 -2.28702e-10 4.07458e-09 -2.14958e-09 8.57524e-10 1.49512e-09 -6.31085e-09 -4.45094e-09
# precision: tgt 5.00e-03 max 2.25e-03 (45.0%) avg 2.96e-04 (5.9%)
-6.47104e-03 -3.78475e-04 -5.58324e-04 -1.85226e-04 2.67021e-07 7.51599e-08 3.51736e-06 -1.64873e-06 5.12150e-06 2.24543e-06 1.43889e-09 5.02536e-10 1.48839e-09 3.94699e-09 4.30742e-09 -6.42747e-09 1.12414e-09 1.20144e-08 -1.32438e-09 -4.68640e-09
# precision: tgt 5.00e-03 max 3.83e-03 (76.5%) avg 3.90e-04 (7.8%)
4.88703e+00 -8.41356e-05 -1.01059e-04 1.34305e-03 2.63624e-06 3.49424e-06 3.73776e-06 2.73039e-06 4.27987e-06 -5.62783e-06 4.04944e-09 2.07593e-09 -1.23864e-09 2.26233e-09 -1.24987e-08 -1.27786e-08 4.28587e-09 -1.49297e-09 -1.42173e-08 1.60278e-09

#tpc5k_z16_q4
1 16 3 20
# precision: tgt 5.00e-03 max 2.29e-03 (45.8%) avg 2.93e-04 (5.9%)
3.21146e-02 -5.88555e-04 3.73036e-04 -4.85713e-05 1.67227e-06 9.27741e-08 5.31257e-06 -1.35240e-07 -3.36926e-06 -1.29756e-06 6.27436e-10 -3.99522e-09 -1.10885e-08 2.94403e-10 4.17950e-09 -1.65657e-09 -1.08538e-09 -1.45784e-09 6.21247e-09 3.47384e-09
# precision: tgt 5.00e-03 max 2.09e-03 (41.9%) avg 2.87e-04 (5.7%)
-2.63368e-02 4.42358e-04 -6.12330e-04 -1.60407e-07 2.10209e-08 2.37378e-07 -3.66126e-06 -1.97054e-06 5.12176e-06 1.57378e-06 -8.72456e-10 -3.14633e-10 1.31508e-09 -2.93336e-09 -4.05275e-09 6.80928e-09 4.53746e-10 1.18902e-08 -1.40251e-09 -3.89725e-09
# precision: tgt 5.00e-03 max 3.99e-03 (79.8%) avg 4.10e-04 (8.2%)
4.88362e+00 2.91163e-05 -1.04376e-04 1.39495e-03 2.76655e-06 -3.59322e-06 -3.53092e-06 2.70674e-06 4.31182e-06 -5.83671e-06 -4.05432e-09 1.99869e-09 -1.57694e-09 -2.08809e-09 1.30646e-08 1.26566e-08 4.17446e-09 -1.60551e-09 -1.43900e-08 1.83705e-09

#tpc5k_z17_q1
1 17 0 20
# precision: tgt 5.00e-03 max 5.30e-03 (106.0%) avg 5.30e-04 (10.6%)
3.50518e-01 -1.67973e-03 -1.27252e-03 -2.44605e-03 5.02721e-06 8.58643e-07 9.70129e-06 5.79117e-09 8.84388e-06 4.59934e-06 1.31886e-09 8.01895e-09 -2.42859e-08 1.65973e-10 -1.02292e-08 -2.94956e-09 2.53272e-09 -3.64462e-09 -1.35183e-08 -1.53534e-09
# precision: tgt 5.00e-03 max 5.55e-03 (110.9%) avg 5.52e-04 (11.0%)
-5.00985e-02 -1.43989e-03 -1.89982e-03 1.54417e-03 2.08114e-08 5.65243e-07 9.97581e-06 4.94104e-06 1.12078e-05 -8.34102e-06 2.39656e-09 1.44870e-10 -3.56011e-09 8.25242e-09 -9.52914e-09 -1.53976e-08 1.43413e-09 -2.41243e-08 -5.40505e-09 1.24840e-08
# precision: tgt 5.00e-03 max 7.32e-03 (146.3%) avg 8.77e-04 (17.5%)
4.47791e+00 3.08344e-04 4.99218e-04 4.98769e-03 5.60230e-06 1.02587e-05 -9.56072e-06 5.82669e-06 -1.06984e-05 -1.49538e-05 -8.89667e-09 -5.78661e-09 -4.13567e-09 -5.60062e-09 -3.00729e-08 2.65462e-08 -9.02705e-09 -4.68517e-09 2.83420e-08 7.89395e-09

#tpc5k_z17_q2
1 17 1 20
# precision: tgt 5.00e-03 max 5.37e-03 (107.5%) avg 5.34e-04 (10.7%)
-7.07109e-02 -1.90732e-03 1.32141e-03 -3.16029e-04 -5.17840e-06 8.79800e-07 1.10289e-05 -2.34876e-08 -9.11732e-06 4.32078e-06 1.39384e-09 -8.09781e-09 2.49108e-08 -1.77386e-11 -1.01649e-08 -4.87726e-09 -2.60565e-09 3.61758e-09 1.40037e-08 -8.04019e-09
# precision: tgt 5.00e-03 max 5.52e-03 (110.5%) avg 5.83e-04 (11.7%)
-3.35499e-02 1.60310e-03 -2.01559e-03 1.48559e-03 1.86122e-07 -8.65349e-07 -1.07772e-05 5.15751e-06 1.16707e-05 -8.38302e-06 -2.33161e-09 -7.44827e-11 -3.88600e-09 -8.09491e-09 1.01053e-08 1.64615e-08 1.27982e-09 -2.45254e-08 -5.87511e-09 1.27097e-08
# precision: tgt 5.00e-03 max 7.91e-03 (158.1%) avg 8.81e-04 (17.6%)
4.62405e+00 -3.25704e-04 4.34320e-04 3.65860e-03 5.59167e-06 -1.01057e-05 9.60512e-06 5.66482e-06 -1.01352e-05 -1.09622e-05 8.84334e-09 -5.46106e-09 -4.34847e-09 5.22374e-09 3.01434e-08 -2.66977e-08 -8.72794e-09 -4.66585e-09 2.74567e-08 3.90842e-09

#tpc5k_z17_q3
1 17 2 20
# precision: tgt 5.00e-03 max 5.06e-03 (101.2%) avg 5.50e-04 (11.0%)
3.36746e-02 -1.82414e-03 -1.36035e-03 -1.29011e-03 -5.38321e-06 -1.03442e-06 1.03317e-05 -3.04430e-07 9.14080e-06 7.31690e-06 9.01385e-10 7.43623e-09 2.48206e-08 -3.98133e-10 9.97718e-09 -3.80538e-09 2.10508e-09 3.88096e-09 -1.38938e-08 -1.11071e-08
# precision: tgt 5.00e-03 max 4.99e-03 (99.8%) avg 5.38e-04 (10.8%)
4.07857e-02 -1.34322e-03 -1.95240e-03 -1.32059e-03 5.21748e-08 -1.06638e-06 9.22125e-06 -5.39151e-06 1.10587e-05 7.61150e-06 2.65390e-09 4.07859e-10 3.62771e-09 7.76256e-09 1.08398e-08 -1.38998e-08 1.56070e-09 2.61663e-08 -4.51147e-09 -1.15124e-08
# precision: tgt 5.00e-03 max 7.82e-03 (156.5%) avg 8.60e-04 (17.2%)
4.45977e+00 -4.73818e-04 -3.37507e-04 5.14971e-03 5.42202e-06 9.95253e-06 1.04566e-05 5.63233e-06 1.00182e-05 -1.54637e-05 8.76464e-09 5.10503e-09 -3.88540e-09 5.32970e-09 -2.95744e-08 -2.79061e-08 9.19323e-09 -4.26286e-09 -2.76850e-08 8.44033e-09

#tpc5k_z17_q4
1 17 3 20
# precision: tgt 5.00e-03 max 5.27e-03 (105.4%) avg 5.55e-04 (11.1%)
-1.02465e-01 -1.79532e-03 1.35241e-03 1.89155e-03 5.05854e-06 -8.18393e-07 1.03751e-05 2.27104e-07 -9.16440e-06 -9.20007e-06 1.16577e-09 -8.01302e-09 -2.42593e-08 -2.81149e-11 9.91440e-09 -3.92450e-09 -2.21840e-09 -3.91023e-09 1.39060e-08 1.30462e-08
# precision: tgt 5.00e-03 max 4.54e-03 (90.8%) avg 5.59e-04 (11.2%)
1.73574e-01 1.30765e-03 -2.12780e-03 -2.60840e-03 -2.52537e-07 1.31876e-06 -8.71892e-06 -5.76054e-06 1.17899e-05 1.16757e-05 -2.20061e-09 -2.92665e-10 3.81535e-09 -6.97356e-09 -1.06411e-08 1.31377e-08 1.05200e-09 2.64551e-08 -5.55290e-09 -1.57778e-08
# precision: tgt 5.00e-03 max 7.89e-03 (157.8%) avg 8.59e-04 (17.2%)
4.57818e+00 4.66618e-04 -4.58398e-04 3.99658e-03 5.41159e-06 -9.77820e-06 -1.03432e-05 5.50833e-06 1.06430e-05 -1.17580e-05 -8.82952e-09 5.09657e-09 -3.68211e-09 -5.20236e-09 2.91513e-08 2.75385e-08 9.08105e-09 -4.02239e-09 -2.85081e-08 4.50665e-09

#tpc5k_z18_q1
1 18 0 20
# precision: tgt 5.00e-03 max 1.14e-02 (227.8%) avg 1.09e-03 (21.7%)
3.55446e-01 -5.44645e-03 -4.36767e-03 -2.01230e-04 1.51970e-05 4.68431e-06 2.33220e-05 1.38164e-06 2.41998e-05 -7.05097e-06 1.98021e-09 1.68323e-08 -5.63730e-08 2.42902e-10 -2.67532e-08 -9.25355e-09 5.27381e-09 -1.03626e-08 -3.07219e-08 1.30246e-08
# precision: tgt 5.00e-03 max 1.18e-02 (235.2%) avg 1.13e-03 (22.7%)
4.35238e-02 -4.33641e-03 -5.53663e-03 2.37260e-03 1.49311e-06 4.34199e-06 2.40537e-05 1.55138e-05 2.36990e-05 -1.38816e-05 5.13790e-09 1.22832e-10 -1.05364e-08 1.69246e-08 -2.56846e-08 -3.06222e-08 2.22684e-09 -5.74165e-08 -9.59462e-09 1.90969e-08
# precision: tgt 5.00e-03 max 1.90e-02 (380.7%) avg 1.85e-03 (36.9%)
3.32961e+00 2.22812e-03 2.40810e-03 1.31154e-02 1.17387e-05 2.62292e-05 -2.89548e-05 1.22217e-05 -3.00694e-05 -3.08900e-05 -2.01165e-08 -1.43360e-08 -7.78234e-09 -1.38962e-08 -6.50825e-08 6.08006e-08 -2.05539e-08 -8.83703e-09 6.25793e-08 1.47089e-08

#tpc5k_z18_q2
1 18 1 20
# precision: tgt 5.00e-03 max 1.16e-02 (232.6%) avg 1.09e-03 (21.8%)
-1.05425e-02 -5.33927e-03 4.39333e-03 -2.57657e-03 -1.50629e-05 4.56609e-06 2.28997e-05 -1.39292e-06 -2.43770e-05 1.44503e-05 2.11182e-09 -1.71270e-08 5.62782e-08 2.39633e-10 -2.65499e-08 -8.85690e-09 -5.38125e-09 1.04373e-08 3.10261e-08 -1.96273e-08
# precision: tgt 5.00e-03 max 1.21e-02 (241.8%) avg 1.13e-03 (22.6%)
1.47580e-01 4.30991e-03 -5.49897e-03 1.50704e-03 1.52051e-06 -4.22512e-06 -2.39548e-05 1.53706e-05 2.36083e-05 -1.15065e-05 -5.28663e-09 2.82462e-10 -1.07862e-08 -1.71874e-08 2.55320e-08 3.05070e-08 2.35586e-09 -5.71808e-08 -9.57161e-09 1.69384e-08
# precision: tgt 5.00e-03 max 1.89e-02 (377.2%) avg 1.84e-03 (36.8%)
4.02189e+00 -2.31428e-03 2.51659e-03 7.47174e-03 1.20743e-05 -2.65774e-05 2.96927e-05 1.23883e-05 -3.08184e-05 -1.55237e-05 2.00037e-08 -1.41462e-08 -8.99563e-09 1.37309e-08 6.63797e-08 -6.23536e-08 -2.05101e-08 -9.39740e-09 6.38795e-08 7.21284e-10

#tpc5k_z18_q3
1 18 2 20
# precision: tgt 5.00e-03 max 1.14e-02 (228.2%) avg 1.09e-03 (21.8%)
-1.41460e-01 -5.28196e-03 -4.22601e-03 -1.46611e-03 -1.48748e-05 -4.16115e-06 2.26893e-05 -1.43315e-06 2.34715e-05 1.13169e-05 2.08332e-09 1.69200e-08 5.56190e-08 -1.54042e-10 2.49335e-08 -8.80842e-09 5.01132e-09 1.01106e-08 -2.99368e-08 -1.67064e-08
# precision: tgt 5.00e-03 max 1.12e-02 (223.0%) avg 1.11e-03 (22.1%)
-1.17297e-01 -4.21300e-03 -5.37482e-03 -1.64341e-03 -1.30355e-06 -4.38973e-06 2.34479e-05 -1.51642e-05 2.29941e-05 1.20199e-05 5.11764e-09 -1.44117e-10 9.83177e-09 1.60831e-08 2.51923e-08 -2.99578e-08 2.28948e-09 5.69996e-08 -8.98247e-09 -1.75391e-08
# precision: tgt 5.00e-03 max 1.94e-02 (387.8%) avg 1.85e-03 (37.1%)
3.69512e+00 -2.39960e-03 -2.40766e-03 1.00946e-02 1.16235e-05 2.56726e-05 2.96616e-05 1.16803e-05 3.00403e-05 -2.26732e-05 2.00151e-08 1.33799e-08 -7.75216e-09 1.36337e-08 -6.40585e-08 -6.16236e-08 2.04511e-08 -7.69817e-09 -6.25753e-08 7.33979e-09

#tpc5k_z18_q4
1 18 3 20
# precision: tgt 5.00e-03 max 1.12e-02 (223.1%) avg 1.08e-03 (21.6%)
3.96208e-02 -5.08640e-03 4.20932e-03 2.19677e-03 1.46293e-05 -4.05924e-06 2.17699e-05 1.24310e-06 -2.35115e-05 -1.31433e-05 1.96484e-09 -1.68785e-08 -5.47327e-08 -1.96420e-11 2.46593e-08 -7.77497e-09 -5.01723e-09 -9.65660e-09 3.01832e-08 1.82288e-08
# precision: tgt 5.00e-03 max 1.10e-02 (220.0%) avg 1.09e-03 (21.9%)
-2.95095e-01 4.32901e-03 -5.23094e-03 -2.06356e-04 -1.23911e-06 4.12911e-06 -2.41594e-05 -1.51851e-05 2.22902e-05 8.17739e-06 -5.33953e-09 4.23879e-10 1.00297e-08 -1.65568e-08 -2.51509e-08 3.08701e-08 2.40440e-09 5.73416e-08 -7.95794e-09 -1.41111e-08
# precision: tgt 5.00e-03 max 1.93e-02 (385.7%) avg 1.84e-03 (36.9%)
3.66213e+00 2.19705e-03 -2.15839e-03 1.04822e-02 1.15456e-05 -2.57894e-05 -2.85831e-05 1.19669e-05 2.89228e-05 -2.39956e-05 -1.98314e-08 1.35759e-08 -7.54149e-09 -1.35442e-08 6.43245e-08 6.01049e-08 2.05431e-08 -8.38904e-09 -6.13436e-08 8.73906e-09

#tpc5k_z19_q1
1 19 0 20
# precision: tgt 5.00e-03 max 2.39e-02 (478.1%) avg 2.34e-03 (46.9%)
-5.24143e-01 -1.49055e-02 -1.35027e-02 1.08456e-02 4.28921e-05 1.85198e-05 5.06624e-05 7.07287e-06 6.21253e-05 -4.25159e-05 1.43060e-09 3.44082e-08 -1.28972e-07 -1.01879e-10 -7.05798e-08 -1.62733e-08 1.14467e-08 -2.98471e-08 -6.63541e-08 4.60636e-08
# precision: tgt 5.00e-03 max 2.63e-02 (525.1%) avg 2.47e-03 (49.4%)
1.19196e+00 -1.34905e-02 -1.56579e-02 -1.05130e-03 7.53792e-06 1.75410e-05 6.20602e-05 4.40739e-05 5.39478e-05 -1.48781e-05 1.09883e-08 -4.78319e-11 -3.07085e-08 3.54129e-08 -6.85628e-08 -6.62910e-08 2.19988e-09 -1.32874e-07 -1.94830e-08 2.46960e-08
# precision: tgt 5.00e-03 max 4.11e-02 (822.4%) avg 4.08e-03 (81.6%)
-4.21468e-02 1.14891e-02 1.22163e-02 3.22435e-02 2.49680e-05 6.52340e-05 -9.17223e-05 2.62169e-05 -9.57994e-05 -5.92719e-05 -4.65490e-08 -3.90605e-08 -1.11408e-08 -3.79795e-08 -1.35646e-07 1.49010e-07 -4.83696e-08 -1.30191e-08 1.54539e-07 2.03093e-08

#tpc5k_z19_q2
1 19 1 20
# precision: tgt 5.00e-03 max 2.44e-02 (487.7%) avg 2.35e-03 (47.1%)
-5.22928e-01 -1.51111e-02 1.38603e-02 -3.61434e-03 -4.25956e-05 1.80599e-05 5.19630e-05 -6.99963e-06 -6.40039e-05 2.58954e-05 1.76674e-09 -3.47973e-08 1.28711e-07 2.36906e-10 -6.97618e-08 -1.81430e-08 -1.15459e-08 2.97916e-08 6.87830e-08 -3.34157e-08
# precision: tgt 5.00e-03 max 2.62e-02 (524.4%) avg 2.47e-03 (49.4%)
7.45888e-01 1.33993e-02 -1.54443e-02 1.99415e-03 7.30284e-06 -1.73841e-05 -6.18423e-05 4.37295e-05 5.31659e-05 -2.18371e-05 -1.13521e-08 3.64636e-10 -3.05078e-08 -3.56221e-08 6.83910e-08 6.62347e-08 2.24491e-09 -1.32049e-07 -1.88474e-08 3.00231e-08
# precision: tgt 5.00e-03 max 4.22e-02 (844.7%) avg 4.09e-03 (81.8%)
2.63630e-01 -1.11846e-02 1.22149e-02 3.01988e-02 2.56957e-05 -6.59111e-05 9.07381e-05 2.63093e-05 -9.58899e-05 -5.47158e-05 4.66017e-08 -3.83826e-08 -1.32326e-08 3.75236e-08 1.38104e-07 -1.48688e-07 -4.81003e-08 -1.36563e-08 1.54965e-07 1.68946e-08

#tpc5k_z19_q3
1 19 2 20
# precision: tgt 5.00e-03 max 2.44e-02 (488.2%) avg 2.30e-03 (46.0%)
-3.95893e-01 -1.48098e-02 -1.31396e-02 -4.29783e-03 -4.21630e-05 -1.71784e-05 5.07819e-05 -6.70210e-06 6.07662e-05 2.70096e-05 1.37326e-09 3.46644e-08 1.27126e-07 -5.25212e-10 6.67730e-08 -1.72858e-08 1.07639e-08 2.81602e-08 -6.54654e-08 -3.39477e-08
# precision: tgt 5.00e-03 max 2.41e-02 (481.4%) avg 2.38e-03 (47.5%)
1.00828e-01 -1.29881e-02 -1.46864e-02 -7.66472e-03 -6.95539e-06 -1.68344e-05 6.00102e-05 -4.23326e-05 5.02156e-05 3.48589e-05 1.11236e-08 -7.06089e-10 2.90629e-08 3.35301e-08 6.54076e-08 -6.44722e-08 2.21742e-09 1.28746e-07 -1.65112e-08 -4.00839e-08
# precision: tgt 5.00e-03 max 4.24e-02 (848.5%) avg 4.06e-03 (81.2%)
-3.45327e-02 -1.04078e-02 -1.05246e-02 3.28160e-02 2.44958e-05 6.38805e-05 8.59355e-05 2.49992e-05 8.70400e-05 -6.23401e-05 4.61391e-08 3.68087e-08 -1.08170e-08 3.61058e-08 -1.34269e-07 -1.41788e-07 4.66517e-08 -1.20178e-08 -1.43934e-07 2.42158e-08

#tpc5k_z19_q4
1 19 3 20
# precision: tgt 5.00e-03 max 2.45e-02 (489.9%) avg 2.28e-03 (45.5%)
4.18352e-01 -1.45089e-02 1.30063e-02 3.99254e-03 4.15912e-05 -1.67645e-05 4.96715e-05 6.47428e-06 -6.03660e-05 -2.60521e-05 1.35753e-09 -3.48242e-08 -1.25598e-07 -1.01176e-10 6.60952e-08 -1.63237e-08 -1.08274e-08 -2.77873e-08 6.52140e-08 3.30198e-08
# precision: tgt 5.00e-03 max 2.45e-02 (489.7%) avg 2.35e-03 (47.1%)
-8.85552e-01 1.32285e-02 -1.45497e-02 -6.97548e-04 -6.86096e-06 1.69394e-05 -6.11895e-05 -4.25378e-05 4.94754e-05 1.84702e-05 -1.13907e-08 2.97020e-10 2.93023e-08 -3.42724e-08 -6.65729e-08 6.57179e-08 2.42502e-09 1.29637e-07 -1.53244e-08 -2.72159e-08
# precision: tgt 5.00e-03 max 4.11e-02 (821.5%) avg 3.99e-03 (79.7%)
-5.69777e-01 1.12766e-02 -1.10193e-02 3.61730e-02 2.49613e-05 -6.39604e-05 -9.02415e-05 2.54403e-05 8.96285e-05 -6.91867e-05 -4.57004e-08 3.65428e-08 -1.22534e-08 -3.58426e-08 1.34792e-07 1.47149e-07 4.65292e-08 -1.32959e-08 -1.47412e-07 2.86953e-08

#tpc5k_z2_q1
1 2 0 20
# precision: tgt 5.00e-03 max 2.31e-02 (461.1%) avg 2.27e-03 (45.4%)
-1.79224e-01 1.53421e-02 1.35454e-02 5.68483e-03 -3.90369e-05 -1.24412e-05 5.74044e-05 -4.53897e-06 6.54217e-05 3.12427e-05 -5.02340e-09 -3.76776e-08 -1.21954e-07 -3.85711e-09 -5.86249e-08 3.00225e-08 -1.27553e-08 -2.51606e-08 7.36065e-08 3.88797e-08
# precision: tgt 5.00e-03 max 2.53e-02 (506.3%) avg 2.59e-03 (51.9%)
-1.08643e+00 1.33305e-02 1.55413e-02 -4.90025e-04 -4.31118e-06 -1.34450e-05 6.43640e-05 -3.87213e-05 5.77748e-05 1.64341e-05 -1.16071e-08 -2.80823e-09 -2.36237e-08 -3.83310e-08 -6.02700e-08 7.26449e-08 -6.19146e-09 -1.22419e-07 2.96538e-08 2.66684e-08
# precision: tgt 5.00e-03 max 4.07e-02 (814.2%) avg 4.02e-03 (80.4%)
2.37547e+00 7.36978e-03 8.00252e-03 -1.65072e-02 3.00883e-05 6.85516e-05 7.58961e-05 2.93042e-05 7.67113e-05 -2.58130e-05 -4.14428e-08 -3.12118e-08 3.01043e-08 -3.03416e-08 1.52016e-07 1.36828e-07 -4.37091e-08 2.71105e-08 1.35444e-07 2.36346e-09

#tpc5k_z2_q2
1 2 1 20
# precision: tgt 5.00e-03 max 2.55e-02 (509.7%) avg 2.64e-03 (52.9%)
8.13324e-01 1.56093e-02 -1.40844e-02 -1.97791e-03 4.31650e-05 -1.75294e-05 5.29268e-05 4.74716e-06 -6.63468e-05 -2.26038e-05 -3.83604e-09 3.93849e-08 1.32728e-07 -3.66119e-09 -7.23568e-08 1.70556e-08 1.25542e-08 2.57144e-08 -7.24860e-08 -3.09255e-08
# precision: tgt 5.00e-03 max 2.56e-02 (511.3%) avg 2.65e-03 (53.1%)
5.32999e-02 -1.41307e-02 1.66610e-02 8.13223e-03 -6.76605e-06 1.32395e-05 -6.66092e-05 -4.08721e-05 6.17295e-05 3.79085e-05 1.30061e-08 -4.13417e-09 -3.13713e-08 3.98809e-08 6.20394e-08 -7.26432e-08 -7.86916e-09 -1.29837e-07 3.17847e-08 4.41849e-08
# precision: tgt 5.00e-03 max 4.26e-02 (852.0%) avg 4.24e-03 (84.9%)
-1.18659e-01 -1.12343e-02 8.71203e-03 -3.32662e-02 2.34197e-05 -6.91864e-05 -9.01471e-05 3.13645e-05 8.25493e-05 -6.25589e-05 4.63787e-08 -3.73372e-08 8.49884e-09 3.31863e-08 -1.49192e-07 -1.47819e-07 -4.59469e-08 2.97689e-08 1.44588e-07 -2.38870e-08

#tpc5k_z2_q3
1 2 2 20
# precision: tgt 5.00e-03 max 2.70e-02 (540.9%) avg 2.68e-03 (53.5%)
6.37734e-01 1.47271e-02 1.31447e-02 -2.88809e-03 4.55586e-05 1.90218e-05 4.69508e-05 6.95207e-06 6.01296e-05 -2.36065e-05 -1.73469e-09 -3.58184e-08 1.36260e-07 -1.65021e-10 7.20952e-08 8.55875e-09 -1.09767e-08 2.92918e-08 6.36070e-08 -3.06080e-08
# precision: tgt 5.00e-03 max 2.53e-02 (505.1%) avg 2.47e-03 (49.4%)
-1.73754e-01 1.29652e-02 1.37444e-02 -8.05688e-03 7.30184e-06 1.74368e-05 5.95910e-05 4.26081e-05 4.48588e-05 -3.54701e-05 -1.23616e-08 -1.28879e-09 3.14436e-08 -3.45231e-08 6.88592e-08 6.28758e-08 -2.43998e-09 1.29357e-07 9.08133e-09 -4.01792e-08
# precision: tgt 5.00e-03 max 4.19e-02 (838.2%) avg 4.08e-03 (81.6%)
-2.82507e-01 -1.26714e-02 -1.22374e-02 -3.32060e-02 2.03700e-05 6.19780e-05 -9.44863e-05 2.17461e-05 -9.43342e-05 -6.00895e-05 4.67791e-08 3.37587e-08 1.03828e-09 3.41825e-08 1.31723e-07 -1.49959e-07 4.40806e-08 6.09199e-09 -1.51845e-07 -2.05732e-08

#tpc5k_z2_q4
1 2 3 20
# precision: tgt 5.00e-03 max 2.34e-02 (467.7%) avg 2.35e-03 (47.0%)
-4.46324e-01 1.40891e-02 -1.25352e-02 3.41441e-03 -4.07923e-05 1.23917e-05 5.03349e-05 -6.53482e-06 -5.93603e-05 2.47725e-05 -3.19069e-09 3.40374e-08 -1.24293e-07 1.85355e-10 5.44391e-08 2.09087e-08 1.07909e-08 -2.78354e-08 -6.56279e-08 3.28162e-08
# precision: tgt 5.00e-03 max 2.31e-02 (462.6%) avg 2.37e-03 (47.5%)
-1.34922e-01 -1.24367e-02 1.28585e-02 -7.40527e-03 4.51420e-06 -1.65718e-05 -5.90224e-05 3.94648e-05 4.28875e-05 -3.33627e-05 1.01910e-08 8.78156e-10 2.20387e-08 3.26809e-08 -6.41332e-08 -6.55967e-08 -9.03737e-10 1.19638e-07 1.03641e-08 -3.84614e-08
# precision: tgt 5.00e-03 max 4.08e-02 (817.0%) avg 3.85e-03 (77.0%)
1.17329e+00 9.75154e-03 -1.03989e-02 -2.39239e-02 2.60959e-05 -6.04729e-05 8.40665e-05 1.99474e-05 -8.30241e-05 -4.13773e-05 -4.20749e-08 2.84968e-08 1.97594e-08 -3.23337e-08 -1.31352e-07 1.42374e-07 4.24779e-08 3.31147e-09 -1.35755e-07 -8.94211e-09

#tpc5k_z20_q1
1 20 0 20
# precision: tgt 5.00e-03 max 5.53e-02 (1106.5%) avg 5.70e-03 (114.1%)
-5.25717e+00 -5.06360e-02 -4.83141e-02 5.53809e-02 1.29427e-04 7.58769e-05 1.51098e-04 3.20690e-05 1.88564e-04 -1.61146e-04 -8.98482e-09 6.72791e-08 -3.19105e-07 -1.90877e-09 -2.12401e-07 -6.16499e-08 2.52475e-08 -9.54162e-08 -1.72343e-07 1.41402e-07
# precision: tgt 5.00e-03 max 5.81e-02 (1161.4%) avg 6.13e-03 (122.5%)
-1.02029e+01 -4.72591e-02 -5.77330e-02 8.72850e-02 3.56698e-05 7.20035e-05 1.83383e-04 1.34541e-04 1.81328e-04 -2.29592e-04 2.35644e-08 -1.44398e-09 -1.02267e-07 7.18155e-08 -2.05978e-07 -1.66060e-07 -8.19678e-09 -3.32408e-07 -9.29780e-08 1.90310e-07
# precision: tgt 5.00e-03 max 1.09e-01 (2182.1%) avg 1.00e-02 (200.6%)
1.03450e+01 4.04833e-02 4.04736e-02 -4.26056e-02 6.55004e-05 1.86562e-04 -2.65757e-04 7.34715e-05 -2.68864e-04 1.29623e-04 -1.15204e-07 -1.20741e-07 -2.80612e-08 -1.17335e-07 -3.25050e-07 3.66830e-07 -1.22009e-07 -4.12873e-08 3.73134e-07 -1.40452e-07

#tpc5k_z20_q2
1 20 1 20
# precision: tgt 5.00e-03 max 5.41e-02 (1082.1%) avg 5.67e-03 (113.3%)
5.67989e+00 -5.08751e-02 4.68165e-02 -5.77329e-02 -1.30067e-04 7.54913e-05 1.51831e-04 -3.20014e-05 -1.82270e-04 1.65308e-04 -8.86772e-09 -6.85605e-08 3.20861e-07 -5.05549e-10 -2.12568e-07 -6.20584e-08 -2.58248e-08 9.59234e-08 1.65581e-07 -1.43730e-07
# precision: tgt 5.00e-03 max 6.05e-02 (1209.5%) avg 6.16e-03 (123.1%)
-9.79458e+00 4.74564e-02 -5.74508e-02 8.47566e-02 3.49887e-05 -7.17777e-05 -1.84491e-04 1.35121e-04 1.79853e-04 -2.24354e-04 -2.44703e-08 -8.76252e-10 -1.01465e-07 -7.24984e-08 2.05836e-07 1.67476e-07 -8.39121e-09 -3.33454e-07 -9.12047e-08 1.86693e-07
# precision: tgt 5.00e-03 max 1.18e-01 (2367.6%) avg 1.01e-02 (202.5%)
1.42592e+01 -4.00166e-02 4.06125e-02 -6.77879e-02 6.48847e-05 -1.85292e-04 2.62783e-04 7.33535e-05 -2.68814e-04 1.83377e-04 1.15951e-07 -1.20293e-07 -2.66898e-08 1.17817e-07 3.22778e-07 -3.62818e-07 -1.21468e-07 -4.15810e-08 3.72597e-07 -1.78546e-07

#tpc5k_z20_q3
1 20 2 20
# precision: tgt 5.00e-03 max 5.60e-02 (1120.2%) avg 5.52e-03 (110.4%)
1.74343e+00 -4.03734e-02 -3.77824e-02 -2.96653e-02 -1.27739e-04 -6.39618e-05 1.09380e-04 -3.03960e-05 1.45785e-04 9.97629e-05 -1.09152e-08 6.83372e-08 3.13840e-07 -2.11744e-09 1.85936e-07 -2.00046e-08 2.32203e-08 8.98539e-08 -1.29677e-07 -9.35130e-08
# precision: tgt 5.00e-03 max 5.52e-02 (1104.9%) avg 5.45e-03 (109.0%)
5.68573e-01 -3.76690e-02 -3.52202e-02 -2.10552e-02 -2.91489e-05 -6.66484e-05 1.45277e-04 -1.20470e-04 8.90777e-05 7.92863e-05 2.38942e-08 -2.73930e-09 8.76557e-08 6.58464e-08 1.90364e-07 -1.29091e-07 -7.11600e-09 3.01262e-07 2.05635e-10 -7.74972e-08
# precision: tgt 5.00e-03 max 1.04e-01 (2080.2%) avg 9.28e-03 (185.7%)
1.55304e+01 -4.80991e-02 -4.24727e-02 -7.90966e-02 5.13443e-05 1.60583e-04 2.86592e-04 4.95482e-05 2.61045e-04 2.12063e-04 1.12340e-07 1.08942e-07 -1.91968e-09 1.06815e-07 -2.78966e-07 -3.78331e-07 1.12058e-07 8.59546e-10 -3.49946e-07 -2.00810e-07

#tpc5k_z20_q4
1 20 3 20
# precision: tgt 5.00e-03 max 5.40e-02 (1080.2%) avg 5.50e-03 (110.0%)
7.77126e-01 -4.29741e-02 3.74706e-02 1.42445e-02 1.27238e-04 -6.32523e-05 1.20739e-04 3.01716e-05 -1.44681e-04 -6.84733e-05 -1.00662e-08 -6.90380e-08 -3.13350e-07 -1.05518e-09 1.85377e-07 -3.21182e-08 -2.30236e-08 -8.94640e-08 1.28619e-07 7.23794e-08
# precision: tgt 5.00e-03 max 5.50e-02 (1100.6%) avg 5.41e-03 (108.2%)
-2.06382e+00 3.76726e-02 -3.54094e-02 -4.40397e-03 -2.89273e-05 6.53600e-05 -1.45749e-04 -1.19562e-04 9.05637e-05 4.43199e-05 -2.40124e-08 -5.53488e-10 8.77238e-08 -6.72163e-08 -1.89228e-07 1.29818e-07 -6.89590e-09 2.99846e-07 -1.83536e-09 -5.30917e-08
# precision: tgt 5.00e-03 max 1.06e-01 (2119.3%) avg 9.08e-03 (181.5%)
1.58259e+01 4.79236e-02 -4.10301e-02 -8.03395e-02 5.13906e-05 -1.62124e-04 -2.86231e-04 4.94246e-05 2.55106e-04 2.13418e-04 -1.11408e-07 1.08839e-07 -2.74446e-09 -1.05841e-07 2.82863e-07 3.78492e-07 1.11686e-07 5.31490e-10 -3.44078e-07 -2.00941e-07

#tpc5k_z21_q1
1 21 0 20
# precision: tgt 5.00e-03 max 1.73e-01 (3457.8%) avg 2.00e-02 (399.5%)
-5.06372e-01 -1.52718e-01 -1.58337e-01 6.79060e-02 4.62382e-04 3.89131e-04 3.38492e-04 1.86902e-04 4.85834e-04 -2.32368e-04 -8.32263e-08 8.97881e-08 -9.32535e-07 -2.98396e-08 -8.31685e-07 -3.99139e-08 5.14055e-08 -4.14669e-07 -3.27930e-07 1.96624e-07
# precision: tgt 5.00e-03 max 2.12e-01 (4243.8%) avg 2.26e-02 (451.7%)
1.00277e+01 -1.52185e-01 -1.81702e-01 1.06668e-02 1.96032e-04 3.72815e-04 4.61514e-04 5.11753e-04 4.36879e-04 -1.28521e-04 4.63258e-08 -2.76205e-08 -4.30498e-07 1.12235e-07 -8.09449e-07 -3.03314e-07 -9.97159e-08 -1.02443e-06 -1.21013e-07 1.33639e-07
# precision: tgt 5.00e-03 max 4.14e-01 (8286.4%) avg 3.62e-02 (724.4%)
-9.89378e+01 2.22332e-01 2.49296e-01 5.21346e-01 1.34590e-04 4.93354e-04 -1.07357e-03 1.48522e-04 -1.18381e-03 -8.00820e-04 -3.60312e-07 -5.04473e-07 8.43678e-08 -4.98152e-07 -6.01138e-07 1.17007e-06 -3.83088e-07 6.94966e-08 1.28108e-06 3.49031e-07

#tpc5k_z21_q2
1 21 1 20
# precision: tgt 5.00e-03 max 1.77e-01 (3534.2%) avg 2.02e-02 (404.2%)
4.42620e+00 -1.57141e-01 1.64150e-01 -9.25661e-02 -4.58811e-04 3.84761e-04 3.57657e-04 -1.86763e-04 -5.09229e-04 2.83931e-04 -8.55776e-08 -9.45281e-08 9.24867e-07 -3.00109e-08 -8.24934e-07 -6.04454e-08 -5.17745e-08 4.14745e-07 3.51281e-07 -2.32490e-07
# precision: tgt 5.00e-03 max 2.12e-01 (4248.3%) avg 2.26e-02 (451.5%)
2.84099e+00 1.56253e-01 -1.82035e-01 5.31643e-02 1.93424e-04 -3.72675e-04 -4.78233e-04 5.09788e-04 4.39106e-04 -2.12326e-04 -4.80685e-08 -2.65596e-08 -4.26608e-07 -1.13879e-07 8.10182e-07 3.20236e-07 -1.02813e-07 -1.01891e-06 -1.24291e-07 1.88745e-07
# precision: tgt 5.00e-03 max 3.91e-01 (7810.3%) avg 3.64e-02 (727.1%)
-9.34697e+01 -2.34699e-01 2.45140e-01 4.87817e-01 1.34597e-04 -4.97412e-04 1.12173e-03 1.47401e-04 -1.16790e-03 -7.32443e-04 3.58315e-07 -5.06442e-07 8.31747e-08 5.01810e-07 6.07161e-07 -1.21702e-06 -3.83828e-07 7.27844e-08 1.26541e-06 3.02694e-07

#tpc5k_z21_q3
1 21 2 20
# precision: tgt 5.00e-03 max 1.64e-01 (3272.5%) avg 1.85e-02 (369.5%)
8.63721e+00 -1.03108e-01 -1.16632e-01 -9.75775e-02 -4.04775e-04 -2.67217e-04 1.90322e-04 -1.39107e-04 3.64524e-04 2.63195e-04 -8.01801e-08 1.33178e-07 8.28778e-07 7.45403e-09 6.22922e-07 6.46711e-08 5.36024e-08 3.28610e-07 -2.45924e-07 -2.03697e-07
# precision: tgt 5.00e-03 max 1.57e-01 (3130.1%) avg 1.84e-02 (367.1%)
7.18382e+00 -1.21269e-01 -1.10799e-01 -9.12190e-02 -1.38175e-04 -2.77319e-04 3.81243e-04 -3.90200e-04 2.21748e-04 2.54708e-04 5.54385e-08 6.68153e-09 3.27703e-07 1.23038e-07 6.38398e-07 -2.61075e-07 -6.24213e-08 8.09481e-07 3.35695e-08 -2.00475e-07
# precision: tgt 5.00e-03 max 2.92e-01 (5842.5%) avg 3.30e-02 (659.8%)
-5.60878e+01 -1.76520e-01 -1.46810e-01 2.99693e-01 1.27372e-04 4.89315e-04 8.91751e-04 1.53575e-04 7.85274e-04 -4.24643e-04 3.39682e-07 4.39554e-07 7.44903e-08 4.41963e-07 -6.40103e-07 -9.98245e-07 3.41526e-07 2.45491e-08 -9.03324e-07 1.39615e-07

#tpc5k_z21_q4
1 21 3 20
# precision: tgt 5.00e-03 max 1.68e-01 (3365.4%) avg 1.84e-02 (367.7%)
-1.23525e+01 -1.05647e-01 1.12799e-01 1.18358e-01 4.05716e-04 -2.64634e-04 2.00270e-04 1.36226e-04 -3.51507e-04 -3.02139e-04 -7.74416e-08 -1.36161e-07 -8.32858e-07 1.13506e-08 6.20641e-07 5.56126e-08 -5.44792e-08 -3.24189e-07 2.34708e-07 2.28067e-07
# precision: tgt 5.00e-03 max 1.75e-01 (3492.5%) avg 1.81e-02 (362.5%)
9.69795e+00 1.18573e-01 -1.09946e-01 -1.05291e-01 -1.36748e-04 2.71066e-04 -3.72566e-04 -3.84971e-04 2.21784e-04 2.81343e-04 -5.60959e-08 1.05826e-08 3.26093e-07 -1.25768e-07 -6.28834e-07 2.53963e-07 -6.11366e-08 8.00468e-07 3.06606e-08 -2.17496e-07
# precision: tgt 5.00e-03 max 2.82e-01 (5649.7%) avg 3.27e-02 (654.6%)
-3.55298e+01 1.78219e-01 -1.54758e-01 1.79059e-01 1.24818e-04 -4.84215e-04 -8.96293e-04 1.47517e-04 8.11642e-04 -1.89440e-04 -3.40189e-07 4.37582e-07 7.90747e-08 -4.33006e-07 6.35318e-07 1.00125e-06 3.34791e-07 2.96263e-08 -9.26502e-07 -1.29258e-08

#tpc5k_z3_q1
1 3 0 20
# precision: tgt 5.00e-03 max 1.02e-02 (203.2%) avg 1.13e-03 (22.7%)
-3.02364e-01 5.22637e-03 4.04290e-03 -1.10189e-04 -1.43196e-05 -1.48854e-06 2.44350e-05 2.07769e-07 2.44061e-05 7.46168e-06 -2.46084e-09 -1.86962e-08 -5.35737e-08 -3.26025e-09 -2.06550e-08 1.40254e-08 -6.29860e-09 -7.43914e-09 3.29127e-08 1.41401e-08
# precision: tgt 5.00e-03 max 1.18e-02 (235.6%) avg 1.27e-03 (25.4%)
-4.34969e-01 4.22355e-03 5.11440e-03 -8.10788e-04 3.20902e-07 -2.14636e-06 2.52903e-05 -1.22377e-05 2.42500e-05 5.63167e-06 -5.87671e-09 -2.30361e-09 -6.86568e-09 -1.83809e-08 -2.09159e-08 3.42290e-08 -4.48744e-09 -5.02177e-08 1.41483e-08 1.22629e-08
# precision: tgt 5.00e-03 max 1.78e-02 (356.4%) avg 1.79e-03 (35.8%)
3.85456e+00 1.26850e-03 1.33142e-03 -8.89290e-03 1.35128e-05 2.66507e-05 2.59479e-05 1.24351e-05 2.37635e-05 -2.03485e-05 -1.82349e-08 -1.35560e-08 1.38572e-08 -1.20591e-08 6.71472e-08 5.88853e-08 -1.93355e-08 1.12628e-08 5.38276e-08 -7.24283e-09

#tpc5k_z3_q2
1 3 1 20
# precision: tgt 5.00e-03 max 1.21e-02 (242.4%) avg 1.24e-03 (24.9%)
2.67279e-01 4.76188e-03 -4.26547e-03 -6.18064e-04 1.39957e-05 -3.92152e-06 1.95212e-05 2.84406e-07 -2.42977e-05 -8.94754e-06 -4.86825e-09 1.96464e-08 5.63692e-08 -3.14959e-09 -2.74663e-08 3.78564e-09 6.05430e-09 8.79912e-09 -3.11305e-08 -1.41837e-08
# precision: tgt 5.00e-03 max 1.09e-02 (218.6%) avg 1.27e-03 (25.4%)
-3.39378e-01 -4.51019e-03 5.44835e-03 1.67132e-04 -1.21367e-06 2.57425e-06 -2.54703e-05 -1.36758e-05 2.47911e-05 8.55118e-06 5.84760e-09 -2.33430e-09 -1.07606e-08 1.84557e-08 2.28329e-08 -3.28085e-08 -4.53364e-09 -5.40729e-08 1.32505e-08 1.49264e-08
# precision: tgt 5.00e-03 max 1.73e-02 (345.0%) avg 1.86e-03 (37.1%)
3.59268e+00 -2.70764e-03 2.01755e-03 -1.05794e-02 9.50057e-06 -2.62233e-05 -2.95742e-05 1.28118e-05 2.83167e-05 -2.34625e-05 1.96993e-08 -1.36652e-08 3.38827e-09 1.33070e-08 -6.57808e-08 -6.01454e-08 -1.94600e-08 1.21110e-08 6.10065e-08 -8.53898e-09

#tpc5k_z3_q3
1 3 2 20
# precision: tgt 5.00e-03 max 1.14e-02 (228.1%) avg 1.26e-03 (25.3%)
3.80973e-01 4.92723e-03 4.26184e-03 2.04426e-04 1.45953e-05 4.19419e-06 1.99848e-05 8.03048e-07 2.39296e-05 -6.92533e-06 -4.32354e-09 -1.83378e-08 5.73227e-08 -2.37694e-09 2.68120e-08 4.05399e-09 -5.72193e-09 9.92268e-09 3.02514e-08 -1.25002e-08
# precision: tgt 5.00e-03 max 1.12e-02 (224.4%) avg 1.21e-03 (24.2%)
-1.09277e-01 4.67312e-03 4.88168e-03 -3.52406e-03 1.39826e-06 4.02202e-06 2.57925e-05 1.52650e-05 2.01455e-05 -1.72782e-05 -6.23243e-09 -2.55033e-09 1.16418e-08 -1.78847e-08 2.70655e-08 3.21411e-08 -3.03414e-09 5.78142e-08 4.75556e-09 -2.23249e-08
# precision: tgt 5.00e-03 max 1.86e-02 (373.0%) avg 1.86e-03 (37.2%)
3.77097e+00 -3.73729e-03 -3.39890e-03 -8.46443e-03 8.74781e-06 2.47392e-05 -3.46922e-05 9.95471e-06 -3.50797e-05 -1.60231e-05 1.98630e-08 1.25622e-08 1.21132e-09 1.46340e-08 6.10280e-08 -6.63897e-08 1.99505e-08 3.05798e-09 -6.83488e-08 -3.81101e-10

#tpc5k_z3_q4
1 3 3 20
# precision: tgt 5.00e-03 max 1.11e-02 (222.4%) avg 1.22e-03 (24.3%)
-1.76006e-01 5.17390e-03 -3.99597e-03 9.21139e-04 -1.56288e-05 3.15657e-06 2.30752e-05 -1.41457e-06 -2.28486e-05 1.00323e-05 -1.64263e-09 1.67432e-08 -5.61463e-08 -2.87584e-10 2.22371e-08 1.11510e-08 5.27580e-09 -1.03255e-08 -2.96990e-08 1.61184e-08
# precision: tgt 5.00e-03 max 1.23e-02 (245.1%) avg 1.22e-03 (24.4%)
-5.45968e-02 -4.32110e-03 4.74060e-03 -2.88592e-03 8.91441e-07 -5.48584e-06 -2.42171e-05 1.47663e-05 1.96599e-05 -1.50377e-05 5.23809e-09 -3.85436e-10 8.97917e-09 1.58656e-08 -2.80304e-08 -3.10010e-08 -2.07547e-09 5.51940e-08 4.99909e-09 -1.99233e-08
# precision: tgt 5.00e-03 max 1.96e-02 (391.4%) avg 1.83e-03 (36.6%)
3.87128e+00 2.30223e-03 -2.54466e-03 -8.16865e-03 1.29362e-05 -2.55496e-05 3.13842e-05 9.88204e-06 -3.00128e-05 -1.67580e-05 -1.91412e-08 1.35548e-08 1.10522e-08 -1.41526e-08 -6.22368e-08 6.54500e-08 1.99176e-08 2.70339e-09 -6.07194e-08 -2.59328e-09

#tpc5k_z4_q1
1 4 0 20
# precision: tgt 5.00e-03 max 4.54e-03 (90.7%) avg 5.42e-04 (10.8%)
5.41786e-01 3.13555e-03 2.12016e-03 6.84892e-03 -4.70024e-06 -8.25338e-07 1.85996e-05 -2.66482e-08 1.39854e-05 2.72931e-05 -2.34897e-10 -7.69621e-09 -2.09711e-08 -2.18087e-10 -1.00849e-08 1.71976e-08 -2.33770e-09 -3.13301e-09 2.13473e-08 3.41167e-08
# precision: tgt 5.00e-03 max 5.69e-03 (113.8%) avg 5.44e-04 (10.9%)
-1.44378e+00 1.56375e-03 1.97198e-03 -1.24148e-02 -1.97751e-07 -3.02234e-07 1.05490e-05 -4.55980e-06 1.18022e-05 -3.51605e-05 -2.62751e-09 -4.83917e-10 -4.52959e-09 -7.91134e-09 -7.86888e-09 1.58671e-08 -1.96650e-09 -2.29919e-08 7.00946e-09 -3.26718e-08
# precision: tgt 5.00e-03 max 8.79e-03 (175.9%) avg 9.00e-04 (18.0%)
-6.23504e-01 1.09813e-03 2.94007e-04 -5.26527e-02 4.64676e-06 9.51514e-06 1.37589e-05 5.64428e-06 8.94333e-06 -1.63228e-04 -7.70922e-09 -5.51586e-09 1.58342e-09 -3.84042e-09 2.84683e-08 3.06127e-08 -8.09103e-09 5.74946e-09 2.54078e-08 -1.61862e-07

#tpc5k_z4_q2
1 4 1 20
# precision: tgt 5.00e-03 max 3.99e-03 (79.8%) avg 5.12e-04 (10.2%)
1.15602e+00 1.51351e-03 -1.22760e-03 1.00548e-02 3.81083e-06 8.61663e-08 9.74824e-06 -2.28036e-07 -8.91497e-06 2.85283e-05 -2.95419e-09 8.39055e-09 2.22509e-08 -1.26360e-09 -7.74977e-09 5.24514e-09 2.53156e-09 3.21006e-09 -1.41650e-08 2.60407e-08
# precision: tgt 5.00e-03 max 5.16e-03 (103.2%) avg 5.57e-04 (11.1%)
-4.40480e-01 -1.46046e-03 1.76033e-03 -3.11743e-03 3.27248e-07 -2.25127e-08 -1.03871e-05 -4.11653e-06 1.09285e-05 -6.36178e-06 2.55867e-09 -9.42171e-10 -2.58209e-09 8.29142e-09 8.04724e-09 -1.65986e-08 -1.91006e-09 -2.13566e-08 6.54594e-09 -2.81062e-09
# precision: tgt 5.00e-03 max 7.42e-03 (148.5%) avg 8.20e-04 (16.4%)
1.93558e+00 -2.97036e-04 5.79910e-04 -2.87743e-02 6.21540e-06 -9.73725e-06 -9.23453e-06 5.70248e-06 1.06270e-05 -8.91028e-05 7.85216e-09 -3.82650e-09 9.01826e-09 4.56535e-09 -3.04487e-08 -2.77417e-08 -7.79504e-09 6.33701e-09 2.80445e-08 -8.52740e-08

#tpc5k_z4_q3
1 4 2 20
# precision: tgt 5.00e-03 max 4.76e-03 (95.1%) avg 5.26e-04 (10.5%)
1.35164e+00 1.75364e-03 1.37778e-03 1.17823e-02 4.33736e-06 3.67460e-07 1.07296e-05 3.72437e-08 9.50775e-06 3.37025e-05 -2.66598e-09 -7.84799e-09 2.35478e-08 -8.91014e-10 8.34547e-09 6.08260e-09 -2.38839e-09 3.93044e-09 1.45751e-08 3.13004e-08
# precision: tgt 5.00e-03 max 4.83e-03 (96.6%) avg 5.47e-04 (10.9%)
-2.14985e-01 1.55568e-03 2.27023e-03 -3.14255e-03 -2.04151e-07 8.21249e-07 1.06698e-05 4.96983e-06 1.32885e-05 -1.39252e-05 -2.37186e-09 -1.05152e-09 2.68578e-09 -7.49281e-09 1.06414e-08 1.64725e-08 -1.24059e-09 2.38094e-08 8.98608e-09 -1.87082e-08
# precision: tgt 5.00e-03 max 7.40e-03 (147.9%) avg 8.30e-04 (16.6%)
1.72842e+00 -4.31714e-04 -9.62421e-04 -3.05492e-02 6.06212e-06 9.58667e-06 -1.00659e-05 5.41478e-06 -1.34961e-05 -9.40825e-05 8.03668e-09 3.65936e-09 8.26257e-09 5.30548e-09 2.92781e-08 -2.88959e-08 8.44279e-09 4.54974e-09 -3.23493e-08 -8.98517e-08

#tpc5k_z4_q4
1 4 3 20
# precision: tgt 5.00e-03 max 4.80e-03 (96.1%) avg 5.91e-04 (11.8%)
5.43247e-01 3.13310e-03 -2.09416e-03 6.81661e-03 -5.15590e-06 1.20171e-06 1.80906e-05 -3.38761e-07 -1.34374e-05 2.69231e-05 1.56027e-10 7.08249e-09 -2.18813e-08 4.01182e-10 1.01646e-08 1.58504e-08 2.15063e-09 -3.82626e-09 -2.00660e-08 3.33556e-08
# precision: tgt 5.00e-03 max 4.67e-03 (93.4%) avg 5.56e-04 (11.1%)
7.75193e-01 -1.45872e-03 2.29414e-03 6.11783e-03 -6.33753e-08 -7.22753e-07 -9.95941e-06 5.05446e-06 1.33770e-05 1.49077e-05 2.57475e-09 -7.26733e-10 3.54860e-09 7.28332e-09 -9.30547e-09 -1.49522e-08 -1.35794e-09 2.44064e-08 8.78981e-09 1.12291e-08
# precision: tgt 5.00e-03 max 8.20e-03 (164.0%) avg 8.81e-04 (17.6%)
-1.19156e+00 1.02523e-03 -5.89813e-04 -5.79303e-02 4.41772e-06 -9.05435e-06 1.31424e-05 5.23724e-06 -1.10585e-05 -1.79577e-04 -7.81749e-09 4.76384e-09 8.28581e-10 -4.36948e-09 -2.68355e-08 2.94299e-08 8.50109e-09 3.92818e-09 -2.83776e-08 -1.78741e-07

#tpc5k_z5_q1
1 5 0 20
# precision: tgt 5.00e-03 max 2.16e-03 (43.1%) avg 3.18e-04 (6.4%)
2.94077e-01 4.91324e-04 4.14523e-04 3.45938e-03 -2.31547e-06 -1.01791e-06 3.22464e-06 -2.01085e-07 2.86487e-06 1.34491e-05 4.98280e-10 -2.72185e-09 -1.06223e-08 8.36207e-10 -6.31793e-09 -3.07892e-09 -8.81877e-10 -1.69614e-09 4.48583e-09 1.67299e-08
# precision: tgt 5.00e-03 max 2.34e-03 (46.8%) avg 2.69e-04 (5.4%)
9.83161e-02 4.90047e-04 5.02305e-04 1.45540e-03 1.06604e-07 -1.36722e-07 4.10252e-06 -1.58128e-06 4.50046e-06 6.62309e-06 -1.13136e-09 1.21598e-12 -1.60434e-09 -3.20911e-09 -3.64837e-09 7.40640e-09 -6.95051e-10 -1.01206e-08 6.56507e-10 9.86554e-09
# precision: tgt 5.00e-03 max 3.55e-03 (71.1%) avg 4.13e-04 (8.3%)
5.12832e+00 1.39227e-04 2.02758e-04 1.36121e-03 2.19694e-06 3.39755e-06 3.98212e-06 2.63557e-06 4.26864e-06 4.64053e-06 -3.20308e-09 -2.32726e-09 -8.90594e-11 -1.45890e-09 1.22261e-08 1.15697e-08 -3.56739e-09 1.93742e-09 1.35970e-08 1.10682e-08

#tpc5k_z5_q2
1 5 1 20
# precision: tgt 5.00e-03 max 2.02e-03 (40.5%) avg 3.11e-04 (6.2%)
-1.30056e-01 6.68255e-04 -3.94384e-04 -1.78530e-03 1.04437e-06 3.28042e-07 6.41540e-06 -1.79413e-07 -3.61737e-06 -8.09345e-06 -1.43038e-09 3.88563e-09 9.82376e-09 -3.87926e-10 -3.01495e-09 5.35436e-09 1.07091e-09 1.33497e-09 -7.01337e-09 -1.24166e-08
# precision: tgt 5.00e-03 max 2.08e-03 (41.6%) avg 2.75e-04 (5.5%)
4.81016e-02 -3.20325e-04 5.00989e-04 8.16537e-04 2.22696e-07 -6.02652e-08 -2.98803e-06 -1.44674e-06 4.66344e-06 4.00293e-06 1.10160e-09 -2.08785e-10 -9.49983e-10 3.38410e-09 3.81686e-09 -5.83338e-09 -6.68270e-10 -9.45809e-09 1.44306e-09 6.42292e-09
# precision: tgt 5.00e-03 max 3.59e-03 (71.7%) avg 3.84e-04 (7.7%)
5.29951e+00 5.14612e-05 -3.41147e-05 3.02368e-03 3.13918e-06 -3.72351e-06 -2.90274e-06 2.80002e-06 2.67291e-06 9.95446e-06 3.62831e-09 -1.76488e-09 4.48235e-09 2.17126e-09 -1.37314e-08 -1.29493e-08 -3.52219e-09 2.54000e-09 1.08508e-08 1.66161e-08

#tpc5k_z5_q3
1 5 2 20
# precision: tgt 5.00e-03 max 2.16e-03 (43.1%) avg 2.76e-04 (5.5%)
-1.03741e-01 6.27185e-04 2.95459e-04 -1.45531e-03 1.27578e-06 -1.38149e-07 5.84366e-06 -9.64841e-08 2.76184e-06 -6.67186e-06 -1.28286e-09 -3.42737e-09 1.04233e-08 -4.65504e-10 3.23747e-09 3.90642e-09 -1.02124e-09 1.74546e-09 5.12254e-09 -1.03477e-08
# precision: tgt 5.00e-03 max 1.96e-03 (39.2%) avg 2.99e-04 (6.0%)
-1.19630e-01 2.97347e-04 6.44128e-04 -1.56954e-03 -2.40496e-07 1.84986e-07 2.77270e-06 1.75566e-06 5.45499e-06 -7.21379e-06 -9.83422e-10 -2.14252e-10 6.83172e-10 -3.12041e-09 4.71452e-09 5.27454e-09 -5.19099e-10 1.09275e-08 2.37554e-09 -1.05450e-08
# precision: tgt 5.00e-03 max 3.38e-03 (67.6%) avg 3.60e-04 (7.2%)
5.21425e+00 2.12053e-05 9.61055e-05 2.08195e-03 3.05708e-06 3.53107e-06 -3.03269e-06 2.70692e-06 -2.76545e-06 6.47644e-06 3.79133e-09 1.51275e-09 4.00746e-09 2.45128e-09 1.27757e-08 -1.29768e-08 3.84348e-09 1.94510e-09 -1.10787e-08 1.23232e-08

#tpc5k_z5_q4
1 5 3 20
# precision: tgt 5.00e-03 max 2.15e-03 (43.0%) avg 3.23e-04 (6.5%)
1.68391e-01 4.19378e-04 -4.70205e-04 2.11831e-03 -2.04273e-06 5.48201e-07 3.18869e-06 -4.10550e-07 -3.32053e-06 8.85957e-06 4.20192e-10 2.86994e-09 -9.92602e-09 7.89788e-10 4.66772e-09 -2.54803e-09 7.43589e-10 -2.33086e-09 -5.35933e-09 1.16612e-08
# precision: tgt 5.00e-03 max 2.16e-03 (43.3%) avg 2.85e-04 (5.7%)
-2.21177e-01 -3.11374e-04 5.09949e-04 -2.63160e-03 -1.09458e-07 -1.08153e-07 -2.80291e-06 1.74875e-06 4.49918e-06 -1.09242e-05 9.48535e-10 1.78112e-10 1.16857e-09 2.81858e-09 -3.27419e-09 -5.16172e-09 -5.47848e-10 1.10102e-08 5.93573e-10 -1.48582e-08
# precision: tgt 5.00e-03 max 3.63e-03 (72.6%) avg 3.95e-04 (7.9%)
5.09533e+00 1.68544e-04 -1.13486e-04 9.75736e-04 2.09851e-06 -3.25946e-06 4.11905e-06 2.61614e-06 -4.24566e-06 3.14044e-06 -3.28326e-09 1.86483e-09 -5.08848e-10 -1.71238e-09 -1.16194e-08 1.16813e-08 3.88900e-09 1.59743e-09 -1.37697e-08 9.12876e-09

#tpc5k_z6_q1
1 6 0 20
# precision: tgt 5.00e-03 max 1.04e-03 (20.9%) avg 1.33e-04 (2.7%)
-1.00040e-02 1.05938e-04 8.55218e-05 -7.42661e-05 -3.07641e-07 1.00610e-07 2.43904e-06 5.46745e-08 1.02218e-06 2.61061e-07 -6.93572e-11 -1.94615e-09 -3.30872e-09 -3.56557e-10 -2.49873e-09 -6.27957e-10 -5.80724e-10 -8.35478e-10 1.90395e-09 8.45197e-10
# precision: tgt 5.00e-03 max 1.48e-03 (29.6%) avg 1.66e-04 (3.3%)
-9.18761e-03 5.70473e-05 1.44068e-04 -1.88199e-05 1.24796e-07 8.75880e-08 8.45758e-07 -4.97047e-07 2.68582e-06 1.70473e-07 -6.83316e-10 2.37060e-11 -9.10010e-10 -1.55462e-09 -1.37019e-09 1.71480e-09 -1.61512e-10 -4.48090e-09 -4.52217e-11 8.90919e-10
# precision: tgt 5.00e-03 max 1.35e-03 (27.0%) avg 1.74e-04 (3.5%)
4.99143e+00 2.70007e-05 4.64478e-05 -2.20013e-04 1.05610e-06 8.12343e-07 1.18803e-06 1.30970e-06 9.61852e-07 -2.18763e-06 -1.18344e-09 -7.43611e-10 -1.26654e-09 -3.05349e-10 4.08162e-09 3.88259e-09 -1.57828e-09 -1.63581e-10 4.44137e-09 6.10968e-10

#tpc5k_z6_q2
1 6 1 20
# precision: tgt 5.00e-03 max 1.37e-03 (27.4%) avg 1.81e-04 (3.6%)
1.77061e-02 1.12058e-04 -4.92467e-05 1.90291e-04 -2.91240e-08 6.38535e-07 3.05937e-06 -3.65491e-07 -1.22284e-06 4.30880e-07 -1.12406e-09 2.89659e-09 4.52410e-09 -1.10586e-09 -1.40592e-09 1.49410e-09 9.59484e-10 6.69121e-10 -2.96255e-09 -5.59885e-10
# precision: tgt 5.00e-03 max 1.44e-03 (28.8%) avg 1.61e-04 (3.2%)
-1.66223e-02 -1.05030e-04 1.99641e-04 -6.57959e-05 6.78241e-08 5.67583e-08 -1.09943e-06 -5.57897e-07 2.98315e-06 9.90008e-08 7.03331e-10 -2.18388e-10 -1.11213e-09 1.60772e-09 2.86380e-09 -2.02325e-09 -2.27611e-10 -4.67201e-09 3.39210e-10 8.96061e-10
# precision: tgt 5.00e-03 max 1.40e-03 (27.9%) avg 2.02e-04 (4.0%)
5.00683e+00 5.92966e-05 -1.07337e-05 -7.97734e-05 1.47903e-06 -9.67340e-07 -2.97762e-07 1.33536e-06 4.82099e-07 -1.84042e-06 1.51188e-09 -5.65070e-10 1.34207e-09 8.37843e-10 -4.84764e-09 -4.41189e-09 -1.35213e-09 2.55527e-10 3.49375e-09 7.17157e-10

#tpc5k_z6_q3
1 6 2 20
# precision: tgt 5.00e-03 max 1.14e-03 (22.7%) avg 1.73e-04 (3.5%)
1.36017e-02 1.30799e-04 6.23396e-05 1.16770e-04 5.76260e-08 -4.06298e-07 3.05006e-06 -2.24209e-07 1.14231e-06 8.85672e-08 -1.29955e-09 -2.42775e-09 5.17927e-09 -1.00496e-09 1.83840e-09 9.43361e-10 -7.01484e-10 9.63867e-10 2.46157e-09 -9.74735e-10
# precision: tgt 5.00e-03 max 1.49e-03 (29.7%) avg 2.09e-04 (4.2%)
1.23910e-02 1.12249e-04 1.31438e-04 1.29769e-04 6.02140e-08 -1.41855e-07 1.22990e-06 3.69508e-07 2.72894e-06 -1.33394e-07 -2.82773e-10 -3.06107e-10 1.04117e-09 -1.81416e-09 2.48485e-09 2.43766e-09 -4.18393e-10 4.80573e-09 7.63131e-11 -1.02252e-09
# precision: tgt 5.00e-03 max 1.30e-03 (26.0%) avg 1.77e-04 (3.5%)
4.99246e+00 5.02291e-05 1.09482e-04 -2.82882e-04 1.86904e-06 1.43844e-06 -9.55461e-07 1.66004e-06 -8.66755e-07 -2.58302e-06 2.33171e-09 1.68924e-09 1.31406e-09 2.10369e-09 4.54256e-09 -5.94890e-09 2.10476e-09 3.47283e-10 -4.72067e-09 -1.05328e-10

#tpc5k_z6_q4
1 6 3 20
# precision: tgt 5.00e-03 max 1.23e-03 (24.7%) avg 1.80e-04 (3.6%)
-4.57149e-03 9.23568e-05 -4.59526e-05 -2.67770e-05 -4.69359e-07 -2.35212e-09 2.12308e-06 2.15857e-08 -5.98504e-07 3.03369e-07 2.33947e-10 1.42132e-09 -3.37512e-09 3.30741e-10 1.75159e-09 -1.26875e-09 2.88911e-10 -3.23647e-10 -1.28292e-09 7.04557e-10
# precision: tgt 5.00e-03 max 1.21e-03 (24.3%) avg 1.77e-04 (3.5%)
2.99877e-03 1.40850e-06 3.45731e-05 7.68828e-05 -3.20347e-07 5.50819e-07 -6.88266e-07 6.95954e-08 2.26928e-06 -1.93498e-07 7.23117e-10 -8.52377e-10 3.28855e-10 2.20092e-09 -8.22497e-10 -1.65544e-09 -8.97273e-10 4.40834e-09 -6.52852e-10 -9.35130e-10
# precision: tgt 5.00e-03 max 1.17e-03 (23.4%) avg 1.78e-04 (3.6%)
4.99625e+00 -3.99414e-06 4.02307e-05 -1.72223e-04 1.19505e-06 -8.76738e-07 1.08783e-06 1.34659e-06 -1.03353e-06 -1.99438e-06 -1.39666e-09 8.20334e-10 -1.07156e-09 -6.13676e-10 -3.83208e-09 3.77683e-09 1.78570e-09 -1.52864e-10 -4.92287e-09 8.94967e-10

#tpc5k_z7_q1
1 7 0 20
# precision: tgt 5.00e-03 max 6.29e-04 (12.6%) avg 9.57e-05 (1.9%)
-3.19659e-03 5.83694e-05 2.52074e-05 -2.68961e-05 -1.89514e-07 8.45896e-08 2.09435e-06 4.41126e-08 4.50698e-07 2.70869e-07 -9.09094e-12 -9.83414e-10 -2.13090e-09 -2.23417e-10 -1.35385e-09 -4.75987e-10 -2.27722e-10 -1.88239e-10 1.17047e-09 7.69158e-10
# precision: tgt 5.00e-03 max 7.38e-04 (14.8%) avg 9.91e-05 (2.0%)
-4.87948e-03 3.84873e-05 6.59779e-05 -2.44659e-07 -6.24891e-08 -1.00702e-07 4.00987e-07 -2.08432e-07 2.15885e-06 2.76827e-08 -1.43969e-10 4.58428e-10 -6.56580e-10 -5.66860e-10 -7.29698e-10 9.29568e-10 1.45694e-13 -2.25548e-09 1.31853e-10 5.36813e-10
# precision: tgt 5.00e-03 max 7.01e-04 (14.0%) avg 8.90e-05 (1.8%)
5.00330e+00 -1.02622e-06 4.21877e-05 -6.53195e-05 9.91896e-07 3.37379e-07 6.13558e-07 1.09160e-06 4.68608e-07 -1.71188e-06 -8.10982e-10 -7.01820e-10 -8.93510e-10 -4.24857e-10 1.62903e-09 2.04243e-09 -1.01842e-09 -3.01788e-10 2.51364e-09 6.84789e-10

#tpc5k_z7_q2
1 7 1 20
# precision: tgt 5.00e-03 max 6.68e-04 (13.4%) avg 9.99e-05 (2.0%)
6.98150e-03 4.89947e-05 -2.57594e-05 8.50723e-05 -8.51243e-08 2.77726e-07 2.35161e-06 -1.26012e-07 -5.87695e-07 2.94517e-07 -5.16432e-10 1.32617e-09 2.37370e-09 -3.05298e-10 -5.60141e-10 1.23086e-09 3.64428e-10 3.81771e-10 -1.78512e-09 -4.37553e-10
# precision: tgt 5.00e-03 max 6.98e-04 (14.0%) avg 9.01e-05 (1.8%)
-4.71639e-03 -3.22950e-05 6.98302e-05 1.35180e-05 5.75014e-08 -4.64833e-08 -4.60209e-07 -1.36877e-07 2.23017e-06 1.53553e-07 3.74825e-10 -2.22799e-10 -5.68600e-10 9.17786e-10 1.57517e-09 -1.10139e-09 -1.94587e-10 -2.16617e-09 2.80308e-10 8.17166e-10
# precision: tgt 5.00e-03 max 7.92e-04 (15.8%) avg 1.04e-04 (2.1%)
5.00411e+00 1.38682e-05 1.40674e-05 -9.12506e-05 1.18546e-06 -5.03182e-07 -2.01882e-07 1.12202e-06 2.73946e-07 -1.99436e-06 1.05662e-09 -7.64931e-10 6.05446e-10 9.51767e-10 -2.18130e-09 -3.05694e-09 -8.67712e-10 8.79206e-12 2.14365e-09 -6.45621e-11

#tpc5k_z7_q3
1 7 2 20
# precision: tgt 5.00e-03 max 7.50e-04 (15.0%) avg 1.11e-04 (2.2%)
6.84751e-03 5.95522e-05 3.17813e-05 7.33296e-05 -7.77466e-08 -1.84584e-07 2.41531e-06 -5.20208e-08 5.70894e-07 2.03402e-07 -7.90703e-10 -1.09306e-09 2.93187e-09 -4.31048e-10 8.20706e-10 9.53315e-10 -2.49324e-10 7.06484e-10 1.45776e-09 -5.47084e-10
# precision: tgt 5.00e-03 max 8.18e-04 (16.4%) avg 1.36e-04 (2.7%)
5.07094e-03 5.48545e-05 6.93536e-05 7.73548e-05 8.52014e-08 -6.71256e-09 6.05848e-07 1.87689e-07 2.26767e-06 -1.32802e-07 5.09346e-11 4.48411e-11 3.76522e-10 -6.50367e-10 1.46366e-09 1.55798e-09 -1.32215e-10 2.80978e-09 3.79368e-10 -9.22826e-10
# precision: tgt 5.00e-03 max 1.09e-03 (21.7%) avg 1.42e-04 (2.8%)
5.00663e+00 8.19245e-05 1.26453e-04 -1.08062e-04 1.57447e-06 9.83095e-07 -1.03635e-07 1.46300e-06 -2.66317e-07 -2.12349e-06 1.85416e-09 1.78955e-09 6.51182e-10 2.00195e-09 2.25691e-09 -2.85049e-09 1.60899e-09 3.03501e-10 -2.60508e-09 -3.25581e-10

#tpc5k_z7_q4
1 7 3 20
# precision: tgt 5.00e-03 max 7.21e-04 (14.4%) avg 1.14e-04 (2.3%)
-4.10118e-03 8.12260e-05 -5.37555e-05 -2.16740e-05 -3.38723e-07 2.15792e-07 2.04125e-06 -1.24448e-07 -4.42147e-07 2.64251e-07 2.48393e-10 3.94259e-10 -2.19047e-09 4.85130e-10 1.52390e-09 -7.11379e-10 -3.53904e-12 -4.54373e-10 -8.95263e-10 6.52377e-10
# precision: tgt 5.00e-03 max 6.28e-04 (12.6%) avg 1.03e-04 (2.1%)
1.09997e-03 -1.56752e-05 5.10740e-05 3.51827e-05 -3.26812e-08 3.64785e-08 -3.16451e-07 1.73525e-07 2.09007e-06 -2.59647e-07 2.32241e-10 -1.61876e-10 5.28260e-10 7.21027e-10 -9.84669e-10 -5.83893e-10 -2.86947e-10 3.11466e-09 -3.73005e-10 -8.93118e-10
# precision: tgt 5.00e-03 max 8.31e-04 (16.6%) avg 1.09e-04 (2.2%)
5.00369e+00 -1.04166e-05 4.54141e-05 -6.90886e-05 1.00206e-06 -3.69138e-07 5.68351e-07 1.14469e-06 -5.31267e-07 -1.73986e-06 -8.09868e-10 6.06205e-10 -8.76792e-10 -6.09196e-10 -1.53659e-09 1.98435e-09 1.19076e-09 -9.44494e-11 -3.10693e-09 6.59867e-10

#tpc5k_z8_q1
1 8 0 20
# precision: tgt 5.00e-03 max 7.77e-04 (15.5%) avg 8.76e-05 (1.8%)
4.85518e-03 -2.47730e-05 -3.13489e-05 6.60350e-05 9.52445e-08 2.68911e-07 1.48465e-06 1.18814e-07 -7.20080e-08 6.37341e-07 -1.55309e-10 -3.96169e-10 -1.11628e-10 -4.23098e-11 1.09818e-09 -1.68497e-10 1.14867e-12 1.00567e-09 1.08128e-09 1.84253e-09
# precision: tgt 5.00e-03 max 6.45e-04 (12.9%) avg 9.26e-05 (1.9%)
-1.38032e-02 2.74802e-05 3.13262e-05 -2.62033e-04 -8.59279e-08 -2.02775e-07 1.78549e-07 -1.27806e-07 1.75152e-06 -2.33021e-06 5.48527e-11 6.10522e-10 -2.30754e-10 1.00108e-10 -2.08604e-10 6.85574e-10 2.03598e-10 -8.18001e-10 7.31902e-12 -5.83547e-09
# precision: tgt 5.00e-03 max 1.31e-03 (26.1%) avg 1.38e-04 (2.8%)
5.00417e+00 -5.68801e-05 2.52760e-06 -1.19332e-04 1.14875e-06 3.56548e-07 7.99773e-08 1.02647e-06 -1.13167e-07 -2.51720e-06 -9.20375e-10 -1.02505e-09 -3.32059e-10 -6.35146e-10 9.65211e-10 3.24943e-10 -6.87129e-10 -1.11303e-10 4.92522e-10 -2.20379e-09

#tpc5k_z8_q2
1 8 1 20
# precision: tgt 5.00e-03 max 9.68e-04 (19.4%) avg 1.09e-04 (2.2%)
-5.64395e-03 2.99482e-05 -6.52207e-06 -1.66292e-04 -3.72662e-08 4.81068e-08 1.94136e-06 -1.02817e-09 -3.03218e-08 -1.30226e-06 -3.85463e-10 8.06589e-10 2.12878e-09 -1.70777e-10 -1.21733e-09 -1.79097e-11 3.64857e-10 1.18580e-09 8.54787e-10 -3.83255e-09
# precision: tgt 5.00e-03 max 1.01e-03 (20.2%) avg 1.18e-04 (2.4%)
-4.61403e-03 2.37488e-05 -3.28155e-05 -1.18477e-04 1.44882e-07 -2.44838e-07 -3.84148e-09 9.49191e-08 1.32529e-06 -1.42610e-06 1.30332e-10 1.23188e-10 8.73143e-10 1.10392e-10 -1.54750e-09 -1.76755e-09 2.28249e-11 4.45098e-10 2.46643e-10 -3.24241e-09
# precision: tgt 5.00e-03 max 1.04e-03 (20.8%) avg 1.48e-04 (3.0%)
5.00229e+00 3.49045e-05 7.76248e-07 -1.67901e-04 1.22130e-06 -6.08654e-07 9.90026e-09 1.11705e-06 1.48061e-07 -2.75193e-06 1.28650e-09 -1.68758e-09 -3.88202e-10 1.59535e-09 -5.23407e-10 -7.82323e-10 -9.31210e-10 -6.71179e-10 5.65443e-10 -2.98151e-09

#tpc5k_z8_q3
1 8 2 20
# precision: tgt 5.00e-03 max 6.15e-04 (12.3%) avg 9.27e-05 (1.9%)
1.21695e-02 -1.38001e-05 -3.02061e-06 3.00225e-04 -1.73068e-07 -1.36853e-07 1.51339e-06 -4.22368e-08 4.41302e-08 2.58313e-06 -5.16219e-10 -4.88298e-10 1.26431e-09 -1.60731e-10 -1.43525e-10 -6.65247e-10 -2.82491e-10 6.75820e-10 -2.77612e-11 6.47930e-09
# precision: tgt 5.00e-03 max 7.87e-04 (15.7%) avg 1.39e-04 (2.8%)
-5.95724e-03 1.88946e-05 3.27178e-05 -1.39858e-04 1.22686e-07 2.03981e-07 -3.38410e-10 5.23437e-08 1.87397e-06 -1.59045e-06 2.64100e-10 3.78709e-10 -8.99497e-11 3.17055e-10 9.50766e-10 1.94628e-10 -6.91375e-11 1.09593e-09 7.23630e-10 -4.80925e-09
# precision: tgt 5.00e-03 max 1.10e-03 (22.0%) avg 1.71e-04 (3.4%)
5.00606e+00 6.20413e-05 1.16788e-04 -1.19199e-04 1.43572e-06 7.51426e-07 -6.55567e-08 1.38531e-06 -1.38671e-07 -2.36585e-06 1.65828e-09 1.96449e-09 5.45971e-11 2.11984e-09 2.31654e-10 -1.70680e-09 1.48055e-09 -2.18269e-11 -1.22852e-09 -1.70271e-09

#tpc5k_z8_q4
1 8 3 20
# precision: tgt 5.00e-03 max 8.62e-04 (17.2%) avg 9.63e-05 (1.9%)
-1.14932e-03 -9.09341e-06 2.99893e-05 -6.69319e-05 -1.62700e-08 -1.26568e-07 1.47262e-06 5.05859e-08 2.50234e-07 -4.63111e-07 5.83089e-11 5.16429e-12 -1.43947e-10 4.35414e-10 -1.44516e-09 -1.11748e-10 -1.76401e-10 1.19509e-09 -6.24789e-10 -1.04135e-09
# precision: tgt 5.00e-03 max 4.20e-04 (8.4%) avg 7.53e-05 (1.5%)
1.75580e-04 -3.90039e-06 2.66061e-05 2.45862e-05 2.57710e-09 1.06753e-08 -1.15892e-07 2.64602e-09 2.00372e-06 -3.39516e-07 3.01741e-11 1.86794e-10 6.83734e-12 1.42135e-10 3.22109e-10 -8.48849e-10 -1.90843e-10 1.27764e-09 1.27709e-09 -1.74973e-09
# precision: tgt 5.00e-03 max 1.23e-03 (24.6%) avg 1.77e-04 (3.5%)
4.98716e+00 -2.34764e-05 7.36570e-05 -5.01585e-04 1.11777e-06 -4.76330e-07 6.11079e-07 1.21541e-06 -3.22081e-07 -5.25689e-06 -1.13285e-09 1.63986e-09 -1.66896e-09 -1.60101e-09 8.75588e-10 5.27151e-10 1.34755e-09 -7.60826e-10 -9.32317e-10 -9.50120e-09

#tpc5k_z9_q1
1 9 0 20
# precision: tgt 5.00e-03 max 4.40e-04 (8.8%) avg 4.90e-05 (1.0%)
3.30716e-04 1.04887e-06 -1.17812e-05 -1.10399e-05 2.73572e-08 9.30545e-08 1.65477e-06 3.63328e-08 -8.68211e-09 1.20044e-07 -1.22650e-10 -1.84819e-10 -4.25730e-10 -2.03827e-10 -3.81213e-10 -3.20821e-10 -4.33023e-11 -4.24075e-11 -2.45160e-10 1.79095e-10
# precision: tgt 5.00e-03 max 4.09e-04 (8.2%) avg 6.75e-05 (1.4%)
-1.21600e-03 1.80861e-05 3.22552e-05 3.80467e-05 -9.28193e-08 -2.49067e-07 -1.39576e-08 -1.73405e-07 1.64987e-06 -4.06621e-08 1.41843e-10 6.21471e-10 -2.39697e-12 5.03826e-10 1.92697e-10 2.77043e-10 3.31380e-10 -4.41382e-10 2.15023e-10 1.38856e-10
# precision: tgt 5.00e-03 max 1.21e-03 (24.3%) avg 1.92e-04 (3.8%)
5.00949e+00 -7.36500e-05 8.82343e-06 -1.78128e-06 1.23987e-06 3.66983e-07 -5.26480e-09 9.38025e-07 -1.47608e-07 -1.64799e-06 -1.04385e-09 -1.15527e-09 1.02852e-11 -6.11308e-10 7.80245e-10 3.39491e-10 -3.31658e-10 2.37036e-10 4.93344e-10 -6.79346e-11

#tpc5k_z9_q2
1 9 1 20
# precision: tgt 5.00e-03 max 7.15e-04 (14.3%) avg 6.68e-05 (1.3%)
-1.31677e-03 -1.01712e-05 1.33518e-05 -2.05548e-05 -1.76053e-07 1.31292e-07 1.51003e-06 -1.16330e-07 5.41617e-08 1.07517e-07 -3.34576e-10 4.66188e-10 3.96140e-10 -1.33699e-10 2.74080e-10 2.05111e-10 2.93283e-10 -1.43577e-10 -5.46401e-10 -1.70590e-10
# precision: tgt 5.00e-03 max 8.56e-04 (17.1%) avg 9.41e-05 (1.9%)
-2.37304e-04 -2.63820e-06 1.95153e-05 5.13649e-05 2.00241e-08 9.56912e-08 3.98802e-08 -1.02277e-07 1.58607e-06 7.12278e-08 1.04974e-10 2.48601e-10 -5.36274e-11 -4.06564e-10 2.83143e-10 7.18124e-11 1.71755e-10 -3.90307e-10 -1.35018e-10 3.17717e-10
# precision: tgt 5.00e-03 max 1.02e-03 (20.4%) avg 1.75e-04 (3.5%)
5.01212e+00 9.57054e-05 -4.89423e-05 -1.17647e-05 1.52586e-06 -9.61409e-07 1.67864e-07 1.30824e-06 -5.65908e-08 -1.63899e-06 1.67671e-09 -2.58993e-09 3.04500e-10 2.25743e-09 -5.34595e-10 -8.77598e-10 -1.05559e-09 4.71564e-11 3.21805e-10 -1.65557e-10

#tpc5k_z9_q3
1 9 2 20
# precision: tgt 5.00e-03 max 4.62e-04 (9.2%) avg 4.97e-05 (1.0%)
-7.04812e-04 4.04138e-06 -1.26377e-05 -1.44274e-05 -1.07204e-07 -2.36001e-08 1.64675e-06 -1.23970e-07 -5.54291e-08 1.10846e-07 -2.45431e-10 -1.74073e-10 7.00124e-10 -2.40445e-11 2.68461e-11 5.28640e-10 -2.89958e-10 -1.63415e-10 3.02641e-10 -1.59452e-10
# precision: tgt 5.00e-03 max 6.14e-04 (12.3%) avg 1.18e-04 (2.4%)
1.08295e-03 2.02954e-05 2.22102e-05 4.36872e-05 1.44670e-07 1.71120e-07 -1.90347e-08 9.29139e-08 1.62125e-06 5.31472e-08 3.25256e-10 4.52221e-10 -1.37982e-10 5.90765e-10 -2.51408e-11 3.76540e-10 1.03792e-10 6.74135e-10 3.39308e-10 -1.28762e-10
# precision: tgt 5.00e-03 max 1.18e-03 (23.6%) avg 1.96e-04 (3.9%)
5.01162e+00 8.45665e-05 1.36009e-04 -1.40872e-05 1.46612e-06 8.79233e-07 1.54911e-07 1.42514e-06 2.17378e-09 -1.63352e-06 1.57987e-09 2.21432e-09 3.40609e-10 2.29690e-09 4.74140e-10 -1.03270e-09 1.51077e-09 6.88899e-11 -8.17325e-10 -1.14304e-11

#tpc5k_z9_q4
1 9 3 20
# precision: tgt 5.00e-03 max 6.31e-04 (12.6%) avg 6.53e-05 (1.3%)
-7.08923e-04 1.49717e-05 -1.29996e-05 -2.01136e-05 -5.84976e-08 8.96454e-08 1.65529e-06 -1.12965e-07 -8.55543e-08 3.02178e-08 6.16582e-11 -1.35329e-10 -3.94941e-10 3.31656e-10 4.75724e-10 -2.56824e-10 -2.16116e-10 -2.81891e-10 -5.52334e-11 -8.58647e-11
# precision: tgt 5.00e-03 max 3.96e-04 (7.9%) avg 5.48e-05 (1.1%)
-7.83923e-05 -4.50824e-06 2.67313e-06 3.69765e-05 3.38468e-08 -8.78916e-08 1.72191e-08 -1.53478e-09 1.52720e-06 2.18899e-08 -4.02405e-11 2.89840e-10 -3.28191e-11 -1.35920e-10 1.44392e-10 -1.68073e-10 -2.30825e-11 4.59948e-10 -3.32336e-11 -8.93643e-11
# precision: tgt 5.00e-03 max 1.25e-03 (24.9%) avg 2.22e-04 (4.4%)
5.01339e+00 -1.33488e-04 1.58614e-04 -1.03990e-05 1.54304e-06 -1.06804e-06 3.90505e-08 1.50686e-06 6.57965e-08 -1.68730e-06 -1.56793e-09 2.60776e-09 -6.90771e-11 -2.52772e-09 -6.64831e-10 5.24844e-10 1.61021e-09 1.94421e-10 -1.02148e-09 -3.59452e-11
