{ "cells": [ { "cell_type": "markdown", "id": "0d230a47", "metadata": {}, "source": [ "# White light CCF of HD 189733\n", "\n", "In this notebook, we present a simple example of the application of the Doppler Shadow technique to ESPRESSO observations of HD 189733, a K1V star, extracting the white light CCF provided by the DRS." ] }, { "cell_type": "code", "execution_count": 1, "id": "13a9ada1", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:38:26.824700Z", "iopub.status.busy": "2026-04-04T11:38:26.824497Z", "iopub.status.idle": "2026-04-04T11:38:38.509102Z", "shell.execute_reply": "2026-04-04T11:38:38.508030Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Warming up JIT-compiled functions...\n" ] } ], "source": [ "import numpy as np\n", "\n", "from HECATE.HECATE import HECATE # main class\n", "\n", "from HECATE.get_data import * # to retrieve the data\n", "from HECATE.plots import * # to plot the airmass and SNR" ] }, { "cell_type": "markdown", "id": "fb190aa6", "metadata": {}, "source": [ "Below we list the stellar, planetary and orbital parameters, as used in Cristo et al. (2024) and Gonçalves et al. (2026)." ] }, { "cell_type": "code", "execution_count": 2, "id": "b82fead8", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:38:38.511355Z", "iopub.status.busy": "2026-04-04T11:38:38.511125Z", "iopub.status.idle": "2026-04-04T11:38:38.515431Z", "shell.execute_reply": "2026-04-04T11:38:38.514476Z" } }, "outputs": [], "source": [ "stellar_params = {\n", " \"Teff\":4969, \"Teff_err\":43, #effective temperature [K]\n", " \"logg\":4.60, \"logg_err\":0.01, #superficial gravity [dex]\n", " \"FeH\":-0.07, \"FeH_err\":0.02, #metallicity [dex]\n", " \"P_rot\":2.21857312, #rotation period [d]\n", " \"R_star\":0.766, #radius [solar radii]\n", " \"inc_star\":71.87 #stellar inclination [º]\n", " }\n", "\n", "planet_params = {\n", " \"P_orb\":2.21857312, #orbital period [d]\n", " \"a_R\":8.76863, #system scale [stellar radii]\n", " \"Rp_Rs\":0.1602, #planet-to-star radius ratio \n", " \"t0\":53988.30339, #mid-transit time [d]\n", " \"e\":0, #orbital eccentricity\n", " \"w\":90, #argument of periastron [º]\n", " \"inc_planet\":85.465, #planet inclination [º]\n", " \"lbda\":-1.00, #spin-orbit angle [º]\n", " \"dfp\": -0.002424 #mid-transit phase shift, night of 2021-09-11\n", " }" ] }, { "cell_type": "markdown", "id": "d29f76cd", "metadata": {}, "source": [ "Now we extract the CCFs from the example data provided." ] }, { "cell_type": "code", "execution_count": 3, "id": "e2570398", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:38:38.517366Z", "iopub.status.busy": "2026-04-04T11:38:38.517163Z", "iopub.status.idle": "2026-04-04T11:39:16.998880Z", "shell.execute_reply": "2026-04-04T11:39:16.997753Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c7a3f4a625184b7785da93c4dd833294", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Updating server file list: 0%| | 0/9 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "CCFs, time, airmass, berv, bervmax, snr, list_ccfs = get_CCFs(planet_params, stellar_params,\n", " day='2021-08-11', \n", " directory_path=\"HD189733_ESPRESSO_white_light_ccfs\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "f6179c70", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:17.000816Z", "iopub.status.busy": "2026-04-04T11:39:17.000582Z", "iopub.status.idle": "2026-04-04T11:39:25.114199Z", "shell.execute_reply": "2026-04-04T11:39:25.113214Z" } }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAq4AAAHVCAYAAAAw8nmZAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAnGNJREFUeJzs3Xtck3X7B/DPHIjIYR5BZBPEUjOtn6Z4RIaZ0qOJIViSqPWYmppQ2cHKxErNUhO10KysSE3FmafkUXuc4iHPHRQ1FQ8bIoiHgago4/794bPF3IANdoTP+/XiVdz3vfu+xpBd+97f73WJBEEQQERERETk5Oo4OgAiIiIiInMwcSUiIiIil8DElYiIiIhcAhNXIiIiInIJTFyJiIiIyCUwcSUiIiIil8DElYiIiIhcAhNXIiIiInIJbo4OoKYqKSnB0aNH4e/vjzp1+PmAiIiopigtLUVubi46duwINzemUvbEn7aNHD16FKGhoY4Og4iIiGzkwIED6NKli6PDqFWYuNqIv78/gPu/1AEBAQ6OhmqlewWA+mdAVA8Qezg6muoruQnk/gqI6gJ16jo6GqpM6V1AuAv4Pwm4eTs6GuvQFgPCHUA6GHD3dXQ05EA5OTkIDQ3Vv9eT/TBxtRHd9ICAgABIpVIHR0O10l0NUNIQcG8IuHk5Oprqu1cAoAHg7g2IPR0dDVVGexu4dxOQSmtOkldSBNy7DgQGAnUljo6GnACnAtoff+JERERE5BKYuBIRERGRS2DiSkREREQugYkrEREREbkEJq5ERERE5BKYuBIRERGRS2DiSkREREQugYkrEREREbkENiBwMVqtFhkZGcjJyUFAQADCwsIgFosdHRYRkUvSFBShsOg2pAFNjPapc/Lh4+UJiW8NaOBBVENwxNWFKBQKBAcHIyIiAnFxcYiIiEBwcDAUCoWjQyMicjmagiJExichPOZdqC5dMdinunQF4THvIjI+CZqCIgdFSEQPYuLqIhQKBWJiYqBWqw22Z2dnIyYmhskrEZGFCotuIy9fg6yLlyGPfU+fvKouXYE89j1kXbyMvHwNCotuOzhSItJh4uoCtFotEhISIAiC0T7dtsTERGi1WnuHRkTksqQBTaBcMwMhLZrpk9e9h07ok9aQFs2gXDPD5DQCInIMJq4uICMjw2iktSxBEKBSqZCRkWHHqIiIXJ+seVOD5LXns28bJK2y5k0dHSIRlcHE1QXk5ORY9TgiIvqHrHlTpCa/ZrAtNfk1Jq1EToiJqwsICAiw6nFERPQP1aUriE/43GBbfMLnRgu2iMjxmLi6gLCwMEilUohEIpP7RSIRZDIZwsLC7BwZEZFrK7sQK6RFM+xZN9tgziuTVyLnwsTVBYjFYiQnJwOAUfKq+37+/Pms50pEZAF1Tr7RQqwenR8xWrClzsl3dKhE9D9MXF1EdHQ00tLSEBgYaLBdKpUiLS0N0dHRDoqMiMg1+Xh5wq+JxGghVtkFW35NJPDx8nRwpESkw85ZLiQ6OhpRUVHsnEVEZAUSXy+kpyaZ7Jwla94UO9NmsnMWkZNh4upixGIx5HK5o8MgIqoRJL5e5SamrN9K5Hw4VYCIiIiIXAITVyIiIiJyCUxciYiIiMglMHElIiIiIpfAxJWIiIiIXAITVyKiGk5zsxjq3Jsm96lzb0Jzs9jOEdmOpqCo3IYB6px8aAqK7BwREVkTE1ciohpMc7MYkZM2IXzcz1DlFhrsU+UWInzcz4ictKlGJK+agiJExichPOZdo1atqktXEB7zLiLjk5i8ErkwJq5ERDVYYdE95F2/jazsAsjHrdcnr6rcQsjHrUdWdgHyrt9GYdE9B0dafYVFt5GXr9G3atUlr6pLV/StXfPyNSgsuu3gSImoqpi4EhHVYFJ/bygXRyEk0FefvO79M0eftIYE+kK5OApSf29Hh1pt0oAm+latuuR176ET+qRV19qVjQWIXBcTVyKiGk7m72OQvPYcvc4gaZX5+zg6RKuRNW9qkLz2fPZtg6RV1rypo0Mkompg4kpEVAvI/H2QOv1Jg22p05+sUUmrjqx5U6Qmv2awLTX5NSatRDUAE1ciolpAlVuI+Gm/GmyLn/ar0YKtmkB16QriEz432Baf8LnRgi0icj1MXImIzODKJaXKLsQKCfTFnq+fNZjzWpOS17ILsUJaNMOedbMN5rwyeSVybUxciYgq4colpdS5N40WYvV4LMBowVZ5SbkrUefkGy3E6tH5EaMFW+XVeSUi58fElYioEq5cUsrHyx1+DT2NFmKVXbDl19ATPl7uDo60+ny8POHXRGK0EKvsgi2/JhL4eHk6OFIiqiqRIAiCo4OoidRqNWQyGVQqFaRSqaPDodrorga4sAJwbwi4eTk6muq7VwCo1wPu3oDY/onHg7fbU6c/ifhpv7rE6nzNzWIUFt0zWfJKnXsTPl7ukHh7WPei2tvAvZuANApw97XuuSugKShCYdFtkyWv1Dn58PHyhMS3iv8eSoqAe9eBoDigrqSakZIr43u847g5OgAiIlegG6HUJa89R68DAKdPWgFA4u1RbmJaE+q3liXx9So3MWX9ViLXx6kCRERmqk0lpYiInBETVyIiM9WmklJERM6IiWsNptVqoVQqsXLlSiiVSmi1WkeHROSyLCkp5cqls4iInBkT1xpKoVAgODgYERERiIuLQ0REBIKDg6FQKBwdGpHLsaSklCuXziIicnYulbjeu3cPv/76K95880106dIFDRo0gLu7O5o1a4ZBgwZh8+bNVT739u3b8a9//QtNmjSBp6cn2rZti/feew83b7pebUOFQoGYmBio1WqD7dnZ2YiJiWHySmQhS0pKuXLpLHvQFBSVW0dVnZMPTUFRtY4noprNpcphbd++HU899RQAoFmzZnjiiSfg5eWFzMxMHDt2DAAwZswYLF68GCKRyOzzfv7553j99dchEokQFhYGf39/ZGRk4PLly2jTpg12796NJk0sW43qqFIZWq0WwcHBRkmrjkgkglQqxblz5yAWi+0WFzkAy2FZlSUlpVy5dJbVmCiHpSkoQmR8EvLyNQZ1VoF/Ol75NZEgPTUJEl8vi4+3OZbDov9hOSzHcakR1zp16mDIkCHYtWsXcnJysGnTJqxatQp//fUXfvrpJ4jFYnz11VdITU01+5xHjx7FG2+8AbFYjM2bN2Pnzp1YvXo1zp49iyeffBKnTp3CuHHjbPisrCsjI6PcpBUABEGASqVCRkaGHaMicn0Sb49yS0dJ/b0Nyk2VHYnVlc6qVUlrOQqLbiMvX2PUfrVsm9a8fA0Ki25X6XgiqvlcKnHt06cP0tLSEBYWZrTvueeew6hRowAAP/zwg9nnnDVrFgRBwIsvvoinn35av71+/fr45ptvUKdOHaxduxYnT56sdvz2kJOTY9XjiKhqWDrLmDSgiVH71b2HThi1adXVW7X0eCKq+Vwqca1Mx44dAQAqlcqs4+/evaufFxsXF2e0PygoCD179gQArFu3zkpR2lZAQIBVjyOiqmHpLNPKtl/NungZPZ992yAJLTsdoCrHE1HNVqMS19OnTwMwPyn7+++/cevWLQBA586dTR6j23706FErRGh7YWFhkEql5c7xFYlEkMlkJketicg6LCmdVRvJmjdFavJrBttSk18rNwm19Hhb0hTehlqdbXKfWq2GRqOxc0REtUuNSVwvX76M7777DgAwZMgQsx5z7tw5AECDBg3g42P69p1MJjM41tmJxWIkJycDgFHyqvt+/vz5XJhFZCOWlM6qrVSXriA+4XODbfEJn+vnsFb3eFvRFNxC5L8XIbzvAKM7eyqVCuHh4YiMjGTySmRDNSJxLSkpwfDhw6HRaNChQweMHTvWrMcVFt4f9fDyKn81qrf3/cUYBQUFFZ6ruLgYBQUF+i/duR0hOjoaaWlpCAwMNNgulUqRlpaG6OhoB0VGVPNZUjrLWdmygULZhVUhLZphz7rZBnNYH0xGLT3elgqLbiPvaiGyzp2HXC7XJ68qlQpyuRxZWVnIy8tz6N9/opquRiSu48aNw6+//orGjRsjLS0NdevWtXsMs2bNgkQi0X+1a9fO7jGUFR0djfPnz2PHjh1YsWIFduzYgXPnzjFpJbIxibcH0hcMxM7Fg40WYsn8fbBz8WCkLxhoUIXAmdiygYI6J99oYVWPzo8YLcDS1W219HhbkwY0hvLHRIS0DEZWVhbkcjn27t2rT1pDQkKgVCpZHonIhlw+cU1ISMA333yDhg0bYtu2bWjdurXZj9VNDygqKr+Ata4Bga+vb4XnmjJlCjQajf4rMzPT7DhsRSwWQy6XY9iwYZDL5ZweQGQnlpTOcja2bKDg4+UJvyYSo4VVZRdg+TWRwMfLs0rH24MsoBGU2zYhJCQEWVlZ6Nmzp0HSqpteRkS24eboAKrjjTfewIIFC9CgQQNs3bpVX1XAXMHBwQCAGzduoLCw0OQ8V92tIN2x5fHw8ICHxz9vRpVNLSCqCo1Gg8LCQpMjOmq1Gj4+PpBIWBidqk7q7w3l4ih9kioft95kA4XyEvOKSHy9kJ6ahMKi20YlrGTNm2Jn2kz4eHnqmwlYery9yGRSpKam6qvOAEBqaiqTViI7cNkR17feegvz5s2DRCLB1q1by60KUJE2bdqgfv36AIBDhw6ZPEa3vVOnTlUPlsgKNBoNIiMjER4ezoUhZFO2bKAg8fUqt+6qNKCJURJq6fH2oFKpER8fb7AtPj7e7FKMVHudOnUKCxcuxKhRo9ChQwe4ublBJBLh448/rvBxV69exZQpU9ChQwd4eXmhbt26kEqliI2Nxa5duyp87OHDhxEbGwt/f3/Uq1cPLVu2xKuvvoq8vDxrPjW7ccnE9Z133sFnn30GiUSCbdu2oUuXLlU6T926dTFgwAAAwIoVK4z2X7hwAXv37gUAPPvss1UPmMgKCgsLkZeXp59bx4UhZEtsoGCaKuca5E8N1E8P2LNnj37aQNl/l0SmpKSkYNKkSfj+++9x7NgxaLXaSh9z9uxZPPbYY/jkk0+Qk5MDuVyOqKgo+Pr6Ii0tDeHh4Zg3b57Jx6alpaFbt25IS0tDUFAQoqKiUKdOHSxatAiPPfYYzpw5Y+2naHMul7i+//77mD17Nho0aGB20rpo0SK0bdsWI0aMMNr3zjvvQCQSYdmyZUhPT9dvv3XrFv79739Dq9ViyJAhaNu2rVWfB5GlpFIplEqlwZskF4aQrbCBgjF1zlXIh89H1rnz+n9vPXr0MPp3WVHbbard2rdvj8mTJ2P58uU4ceKE0ci9Ka+//jouXbqEAQMG4MKFC9i8eTPWrFmDzMxMLFmyBADw9ttvG/3eXbp0CSNHjkRJSQmWLFmCAwcOYNWqVfj7778xfPhw5ObmIi4uDoIg2OS52opLzXHdsGEDZsyYAQB46KGH8MUXX5g8rkmTJpgzZ47++/z8fJw6dQrNmjUzOrZTp06YO3cuXn/9dfzrX/9CeHg4/Pz8kJGRgZycHLRp0waLFy+2zRMispBMJoNSqdQnq7o5dlwYQtb0YAOFsnNc5ePWV3u6gKvy8fKEX2MfwM3b4N9b2X+Xfn5+5dYFJxo9erTB93XqVD5++N///hcAMG3aNKPynWPGjMGcOXNw+vRpHDx40GDgYv78+bh16xb69u2LMWPG6LeLxWKkpKRg48aNOHjwILZu3Yr+/ftX52nZlUslrteuXdP//6FDh8qdlxoUFGSQuFbmtddeQ4cOHTB37lwcOHAARUVFaNGiBaZMmYIpU6bwjxA5FZlMxoUhZDOmGijo5ryWXbC1c/HgKi3QcmUS3/pI/2YiChtEQvrAvzeZTIadO3dygSRZXb169fQVjirSpInhXHBdq3pTLe29vb0xaNAgpKamQqFQuFTi6lJTBUaNGgVBECr9On/+vMHjkpKSIAgClEpluefu27cvtmzZgqtXr+LOnTv4+++/MXPmTCat5HRUKhUXhpDN1IQGCrYk8fGEVBpocp9UKmXSSlb39NNPAwCmT5+ub1Ovs3TpUpw+fRodOnRA9+7d9dsLCwv181drSkt7HZcacSWq7couxAoJCUFqairi4+P1c+s4XYCqS9dAobDontGIqq6Bgo+Xu1PXoiWqST777DNkZmZi8+bNaNGiBbp164b69evj+PHjOHnyJAYMGIClS5fCze2flK7sAF6LFi1MntfVWtrrMHElchFqtdpoIdaDc17lcjl27tzJBVpULRJvj3IT09o2PYCoIoWFhQZ12x+s6W4N/v7+UCqVeOWVV/Djjz9i8+bN+n0ymQx9+vRB06ZNjeLSKa+tvbkt7Z2NS00VIKrNfHx84OfnZ7QQS5e8hoSEcGEIOYTmZjHUuabn4KlzrkJTUH53QiJX1q5dO4N277NmzbL6NU6ePImOHTti48aN+PLLL6FSqaDRaKBUKuHv74833ngD//rXv8wqrVUTcMSVyEVIJBKkp6eb7JzFhSHkKJqbxYictAl5128bVRtQ5d6C/I0Z8GvSEOmpSQ5pFkBkS5mZmQgM/GfOs7VHW0tKSjBkyBCcOXMGq1evRmxsrH5feHg4tm7dinbt2mHbtm344Ycf8OKLLwKAwQBGUVGRyfcFc1vaOxuOuBK5EIlEUu40AC4MqT0qHOHMvQnNzWK7xVJYdA9512/rqw3o6ryqcm9CnqBE1sU85OVrUFh0224xEdmLj48PfH199V/WTlz379+PzMxMeHh4IDo62mh/w4YN9Yu3tm/frt8eFBSk//+LFy+aPLe5Le2dDRNXIqqVnCn5s4RuhDN83M9GzQBUuYUIH/czIidtslv8Un9vg/aw8nHrsffPHMgnpCPrUhFCWvhBuWZGuW1biah8uqSzfv36EIvFJo/RDViULRnq6+uLhx56CEDNa2nPxJWIah1nS/4sUf4I5z9NA/Ku30Zh0T27xVS2VFZWdgF6jl6HrOxChDT3gnLFe5A1b1r5SWoojUZTbicttVoNjUZj54jIleimIVy/fh2nT582ecz+/fsBAC1btjTYrmtVb6ql/c2bN7Fx40YAMDmS68yYuBJRreOMyZ+5yh3hfKBpgL1X/8v8fZA6/UmDbanvhULWvLFd43AmGo0GkZGRCA8PN6qzrFKpEB4ejsjISCavVK7u3bvrk9fRo0fjypUr+n2lpaX45JNPsG/fPgDAsGHDDB6bmJiI+vXrY/v27Vi6dKl+u1arxfjx43Hjxg106dIF/fr1s8MzsR6R4GpNal2EWq2GTCaDSqVymdJEWq1W3+o2ICAAYWFh5d6aIBdwVwNcWAG4NwTcasCimHsFgHo94O4NiD2rfbqK2po+WHzfGZWNX8eRcZuMp7kXlKtnQhbUsoJHupCSIuDedSAoDqhb+XxytVqN8PBwoxJ2D9ZjZgk711PV9/gjR45g/Pjx+u/Pnj2L/Px8SKVSg0Ve69atQ0BAAID7LV+feeYZ3Lp1C76+vujatSt8fHzwxx9/4OzZswCAd999FzNmzDC63po1azBs2DBotVp07doVwcHBOHjwILKysuDv74/du3frpxS4CiauNuJqiatCoUBCQoLBLS2pVIrk5GSXu41A/8PEtVLOlvxZau+fOeg5ep3++z1fP4sejwXYPQ7THwK2358u0MIPyjWzasZ0AQsTV6DipiEPlrYj11HV93ilUomIiIhKjzt37pzBoqmsrCzMmzcPv/76Ky5cuICSkhI0bdoUXbt2xSuvvIKnnnqq3HMdPnwYM2fOREZGBjQaDQICAjBw4EBMnToV/v7+ZsfuLJi42ogrJa4KhQIxMTF48FdBJBIBANLS0pi8uiImrmZxluTPUs6SdKtzbyJ83M9GI9WqS1cgH//L/xZoNcPOtJmuv0CrCokrYJi86jBpdW2u9B5f03COay2n1WqRkJBglLQC0G9LTEysNYWNqXZR5RYiftqvBtvip/1qtGDL2Tw4wrnn62cN5rzaM34fL3f4NfQ0Sppl/t5QJssR0sIPfk0k8PGy3ocNVyOTyZCammqwLTU1lUkrURUwca3lMjIyyl3xCtxPXlUqFTIyMuwYFZHtOVPyZwl17k2jhVg9HgswWrBVXqkva5N4eyB9wUDsXDzYaKRX5l8fO1e+V+ubD6hUKsTHxxtsi4+PN1qwRUSVY+Jay+Xk5Fj1OCJX4GzJnyU1Zcsf4fynJJVfQ0/4eLnbJXbgfvJaXhUDaUDjWp+0lp3jumfPHoSEhCArKwtyuZzJK5GF2PK1ltOtWrTWcUSuQJf8ATCZ/MnHrbdb8ldxy9RCfSzpCwZC4u2hH+EsLLpnlCzK/H2wc/Fg+Hi5Q+Jt3Q4+ZDm1Wm2QtOrmtCqVSv12uVzOqgJEFmDiWsuFhYVBKpUiOzvb5DxXkUgEqVSKsLAwB0RHZBvOlPw9WFNWv7jpgcVXhUX39PHoElhT7F2/lcrn4+MDPz8/ADBYiFU2efXz8zPoK09EFeNUgVpOLBYjOTkZwD9VBHR038+fP5/1XKnGqfD2tr+33UYsnbWhAFWfRCJBeno6du7cabQQSyaTYefOnUhPT9e37CSiyjFxJURHRyMtLc2g+DFwv44rS2ER2Z7plqmu0QiBKiaRSMqdBiCVSpm0ElmIUwUIwP3kNSoqip2ziBxE1zK1bE3Z1OlPMmklIiqDiSvpicViyOVyR4dBVCuVV1OWI65ERP/gVAEiIgdz1ZqyRET2xsSViMiBnK2mLBGRM2PiSkTkQM7YUICIyFlxjisRkQM5U01ZIiJnx8SViMjB2FCAiMg8nCpARERERC6BiSsRERERuQQmrkRERETkEpi4EhEREZFLYOJKRERERC6BiSsRERERuQQmrkRUI2huFpfbXUqdexOam8V2joiIiKyNiSsRuTzNzWJETtqE8HE/Q5VbaLBPlVuI8HE/I3LSJiav5NQ0Gg3UarXJfWq1GhqNxs4RETkfJq5E5PIKi+4h7/ptZGUXQD5uvT55VeUWQj5uPbKyC5B3/TYKi+45OFIi0zQaDSIjIxEeHg6VSmWwT6VSITw8HJGRkUxeqdZj4loD8VM71TZSf28oF0chJNBXn7zu/TNHn7SGBPpCuTiKXajIaRUWFiIvLw9ZWVmQy+X65FWlUkEulyMrKwt5eXkoLCys5ExENRsT1xrGnp/atVotlEolVq5cCaVSCa1WW+1zElWVzN/HIHntOXqdQdIq8/dxdIhE5ZJKpVAqlQgJCdEnr3v37tUnrSEhIVAqlZBKpY4OlcihmLjWMPb61K5QKBAcHIyIiAjExcUhIiICwcHBUCgU1ngatQZHx61L5u+D1OlPGmxLnf4kk1ZyCTKZzCB57dmzp0HSKpPJHB0ikcO5XOJ66tQpLFy4EKNGjUKHDh3g5uYGkUiEjz/+uMrnvHbtGqZMmYJHHnkEnp6eaNiwIXr37o3U1FQrRm4f9vjUrlAoEBMTY5RwZWdnIyYmhsmrmTinzfpUuYWIn/arwbb4ab8aLdgiclYymczovSc1NZVJK9H/uFzimpKSgkmTJuH777/HsWPHqn17OisrC506dcInn3yCK1eu4Mknn0SnTp1w+PBhjBgxAqNGjYIgCFaK3j5s+aldq9UiISHB5M9Ety0xMZHTBszAOW3WVXYhVkigL/Z8/azBnFcmr+QKVCoV4uPjDbbFx8cbfbglqq1cLnFt3749Jk+ejOXLl+PEiRNG/8AtNWzYMFy4cAFyuRynT5/Gpk2b8Ouvv+KPP/5Aq1at8P333+Prr7+2UvT2Y6tP7RkZGeXe2gbuJ68qlQoZGRnVuk5twDlt1qPOvWm0EKvHYwFGC7bKq/NK5AzKfmgNCQnBnj17DP4+MHklcsHEdfTo0fjss88QFxeHtm3bok6dqj+Fffv24cCBAxCLxfj666/RsGFD/b6HHnoI8+bNAwB89NFHLjfqaqtP7Tk5OVY9rrbjnDbr8PFyh19DT6OFWGUXbPk19ISPl7uDIyUyTa1WG31o7dGjh9GH24oGDirDOfVUE7hc4mpNBw8eBAAEBwejVatWRvv79u0L4H4SeODAAbvGVh22/NQeEBBg1eOIc9qsQeLtgfQFA7Fz8WCjhVgyfx/sXDwY6QsGQuLt4aAIiSrm4+MDPz8/ow+tZT/c+vn5wcenagsNOaeeaopanbjevHn/tmHjxo1N7q9fvz48PT0BAIcPH7ZbXNVh60/tYWFhkEqlEIlEJveLRCLIZDKEhYVV52nUKpzTZh0Sb49y67RK/b2ZtJJTk0gkSE9Px86dO40+tMpkMuzcuRPp6emQSCRVOn9V5tRzhJacUa1OXP38/AAA586dM7n/8uXLuH37doXH6BQXF6OgoED/5agFNbb+1C4Wi5GcnAwARsmr7vv58+dDLBZX41nUHpzTRkQ6Eomk3DntUqm0ykmr7vGWzKnnCC05q1qduEZEREAkEuHKlSv4+eefjfYvXrxY//8FBQUVnmvWrFmQSCT6r3bt2lk7XLPY+lM7AERHRyMtLQ2BgYEG26VSKdLS0hAdHV3lc9cm9pjTRkSkY8mcelY9oapav349PvzwQ5udv1Ynrq1atcLw4cMBAC+99BJ+/PFHXL16FWq1GrNnz8bMmTPh7n5/MUdli8CmTJkCjUaj/8rMzLR5/OWx5ad2nejoaJw/fx47duzAihUrsGPHDpw7d45JqwVsPTpORPQgc+fUs+oJVdXPP/+M6dOn2+z8bjY7s4tISUlBYWEhfv75Z6N5hkOHDsXdu3fx888/o1GjRhWex8PDAx4e/8yhq2yEtiYQi8WQy+WODsNl6UbHCwsLjf7460bHfXx8rPJBg4gIKH9OvakqJroP0bpktWfPngDAqifkULU+cfXy8sK6deuwb98+pKenIycnB40aNUL//v0RERGBHj16AAA6dOjg4EipJtJNLTGFIxlEVBGNRmPygy9wfyrSgx98H5xTn5qaivj4eP2IannJa2pqqj5pBVj1pLbZtWuXRcdfvnzZRpHcV+sTV53u3buje/fuBtsKCwvx+++/w83NDREREQ6KjIiIyJBu8VReXp5RwqlLUP38/PRrGkzNqX9wRFUul2Pnzp0GibAlI7SWJtLkGuRyebmVhEwRBMGi4y3FxLUCX375JW7fvo1hw4bB39/f0eEQEREBMF48pUsky46q6o6TSCT6OfUATM6p1yW6ZefUWzJCa2kiTa5DLBbDz88PgwYNMuv4HTt24PTp0zaLp1YkrosWLcKiRYsQGhqKH374wWDf2bNn4evri6ZNm+q3CYKAZcuWYerUqWjUqBHmzp1r75CJiIjKpVs8VXa0tGxi+eDiKUvn1Fs6QmtpIk2uo127drh69SpSUlLMOv7FF19k4lrWkSNHMH78eP33Z8+eBQAsWbIEmzZt0m9ft26dvntTfn4+Tp06hWbNmhmdb+PGjXjzzTfRqVMntGjRAoIg4NChQ7hw4QL8/PywZcsWdoEiIiKnY+niKUvm1Fs6QmtpIk2u44knnsD333+PvLw8/e+EI7lc4lpQUID9+/cbbVer1Qb1LouLi806X8+ePTFkyBAcOHAAx44dg0gkQkhICKZOnYrXX38dDRo0sFboREREVmWrxVNVqXrCKgQ1U8eOHfHdd9/h8OHDePrppys9vm3btujdu7fN4hEJgiDY7Oy1mFqt1t8m4SdMcoi7GmiOfYPCYg9IZS2Mdqtz8uHj5QmJr5cDgquCewWAej3g7g2IPR0dDVVGexu4dxOQRgHuvo6OxjpKioB714GgOKCuc9zufvBWPOD4RHHv3r0GifSePXv0FXpqCr7HO06tbkBAVJNpNBpE/nsRwp//EKpLVwz2qS5dQXjMu4iMT4KmoMhBERJRdThjy+jyqhCwfTVZCxNXohqqsPAm8q4WIutiHuSx7+mTV9WlK5DHvoesi5eRl69BYdFtB0dKRJZyxpbRzphIU83DxJWohpJKA6H8MREhLfyQdfEy5LHvYe+hE/qkNaRFMyjXzIA0oImjQyUiCzlby2hnTKTJMa5du4aLFy/a7PwutziLiMwnC2gE5coPIB/2MbIuXkbPZ98GAH3SKmvetJIzEJEzcraW0VWpE0s10xtvvIHU1FSUlJTY5PxMXMlutFotMjIykJOTg4CAAISFhUEsFjs6rBpP1rwxUpNf0yetAJCa/BqTViIX50wto50tkSbHsuW6f04VILtQKBQIDg5GREQE4uLiEBERgeDgYCgUCkeHVuOpLl1FfMLnBtviEz43WrBFRFQdEomk3IRZKpUyaSWr4Igr2ZxCoUBMTIzRJ7Ds7GzExMQgLS0N0dHRDoquZlPlXIM8fgGyLuYhpEUzpCa/hviEz/VzXjldgIiIKhISEmLR8fn5+TaK5D4mrmRTWq0WCQkJJm8bCIIAkUiExMREREVFcdqAlanV2ZAPn48sVb7BnFblmhn6BVry2PewM20mF2gREZFJ58+fR506deDu7m7W8ffu3bNpPJwqQDaVkZFR4SpSQRCgUqmQkZFhx6hqBx8fb/g19kFICz+DkVVd8hrSohn8mkjg48Vi/kREZFrz5s3x6KOP4vbt22Z9DR8+3KbxcMSVbConJ8eqx5H5JBIJ0r+ZeL9z1gPTAWTNm2Jn2kzX6pxFRER298QTT2DLli0oLi6Gh4dHpceLRCKbxsMRV7KpgIAAqx5HlpH4eEIa0NjkPmlAEyatRERUoY4dO6KkpAR//PGHWccLgsCqAuS6wsLCIJVKy/0EJhKJIJPJEBYWZufIiIiIqDIjRozAsmXL9HV6KzN37lycO3fOZvFwqgDZlFgsRnJyMmJiYiASiQw+hemS2fnz53NhFhERkRMKCQmxqLJA48aN0bix6Tt91sARV7K56OhopKWlITAw0GC7VCplKSwiIiIyG0dcyS6io6MRFRXFzllERERUZUxcyW7EYjHkcrmjwyAiIiIbmT17Nv7zn//gv//9r03Oz6kCRERERGQVJ0+exM6dO212fiauREREROQSOFWAiIiIiEz68MMPLTr+999/t00g/8PElYiIiIhMSkpKMipnWRlbds9i4kpEREREJtWvXx+BgYFmj7ympKQgIyPDZvEwcSUiIiIik/7v//4Px48fx3PPPWfW8enp6TZNXLk4i4iIiIhM6tSpEwoKCnD27FlHhwLABiOuhYWFuHLlCmQyGdzd3fXbV61ahQ0bNqBevXqYMGECOnXqZO1LExEREZEV9evXD3/99RcuX76MVq1aVXr84MGDERwcbLN4rJ64vvXWW/jxxx+Rm5urT1xTUlIwceJE/cTen376CYcPH0bbtm2tfXkih9JoNCgsLIRUKjXap1ar4ePjA4lE4oDIiIiILDdw4EAMHDjQ7OOjoqIQFRVls3isPlVg586d6Nu3L+rXr6/f9sknnyAwMBC7du3C6tWrIQgCPvvsM2tfmsihNBoNIiMjER4eDpVKZbBPpVIhPDwckZGR0Gg0DoqQiIjItVl9xDUnJweRkZH670+cOAGVSoVPP/0UvXr1AgCkpaVh165d1r401TBarRYZGRnIyclBQEAAwsLCIBaLHR1WuQoLC5GXl4esrCzI5XIolUrIZDKoVCrI5XJkZWXpj+OoKxERkeWsPuJaXFyMunXr6r/fuXMnRCIR+vXrp98WEhKC7Oxsa1+aahCFQoHg4GBEREQgLi4OERERCA4OhkKhcHRo5ZJKpVAqlQgJCdEnr3v37tUnrSEhIVAqlSanERAREVHlrJ64SqVS/Pnnn/rvN23ahEaNGuGxxx7Tb7t69Sq8vb2tfWmqIRQKBWJiYqBWqw22Z2dnIyYmxqmTV5lMZpC89uzZ0yBplclkjg6RiIjIZVk9cX366aexdetWTJ48Ge+//z7S09PxzDPPGBzz999/o0WLFta+NNUAWq0WCQkJJjt06LYlJiZCq9XaOzSzyWQypKamGmxLTU1l0kpERFRNVk9cp0yZghYtWmDevHmYOXMm/P39Dbot5OXlYc+ePejdu7e1L001QEZGhtFIa1mCIEClUtm0uHF1qVQqxMfHG2yLj483WrBFRERElrF64tqsWTMcP34cGzZswIYNG3DixAmDOX35+fn47LPPMGbMGGtfmmqAnJwcqx5nb2UXYoWEhGDPnj0Gc16ZvBIREVWdTTpneXp66ut++fr6Guxr164dEhISWMOVTAoICLDqcfakVquNFmL16NHDaMFWRSPKRERUc506dQoLFy7EqFGj0KFDB7i5uUEkEuHjjz+u9LGlpaX4/vvv0bdvXzRt2hQeHh4ICAhAnz598OWXX5b7uMOHDyM2Nhb+/v6oV68eWrZsiVdffRV5eXkWx9+nTx9MnTrV4sdZk9XLYQH3f7h16hjmxPv27cOmTZvg6emJUaNGcWU1mRQWFgapVIrs7GyT81xFIhGkUinCwsIcEF3FfHx84OfnBwAGC7F0C7bkcjn8/Pzg4+PjyDCJiMhBUlJSkJycbPHjNBoNBg0ahF27dsHX1xc9evRAgwYNkJ2djaNHj6KgoADjx483elxaWhqGDRuGkpISdOnSBS1btsShQ4ewaNEirFmzBrt378ZDDz1kdhz79+9Ht27dLI7fmqyeuL722mtISUnB5cuX0aBBAwD3f3DPP/88SktLAQALFizAkSNHmLySEbFYjOTkZMTExEAkEhkkryKRCAAwf/58p6znKpFIkJ6ebrJzlkwmw86dO9k5i4ioFmvfvj0mT56Mjh07olOnTpg5c6bRYt4HCYKAwYMHY9euXRg7dizmzJljUJnp7t27BtWcdC5duoSRI0eipKQES5Ys0U/R1Gq1GDVqFH788UfExcVh//79+vfXyrRt2xYXLlyw4Blbn9WnCuzYsQN9+vTRJ60A8MEHH0AikeCHH37Ap59+iuvXr2POnDnWvjTVENHR0UhLS0NgYKDBdqlUirS0NERHR9stFo1GU+6tfbVabdQFSyKRlPuBTCqVMmklIqrFRo8ejc8++wxxcXFo27at0d1pU5YtWwalUon+/ftj8eLFRuVE69ati86dOxs9bv78+bh16xb69u1rsK5ILBYjJSUFEokEBw8exNatW82O/9VXX8X69euRmZlp9mOszeojrrrWljrnzp3DyZMnMW3aNAwfPhzA/ZXj6enpVTr/qVOnsHXrVhw+fBiHDx/GiRMnoNVq8dFHH+H999+v0jmvXr2KOXPmYNOmTcjKysK9e/fg5+eH7t2749VXX2UFBAeIjo5GVFSUQztn6Vq45uXlGdVg1S3C8vPzQ3p6OhNSIiKyiQULFgAA3nzzTYset27dOgBAXFyc0T5vb28MGjQIqampUCgU6N+/v1nnDAkJgVwuR7du3TB27Fh06dIF/v7+JkdsbZU7WT1xLSoqgpeXl/57Xeesp59+Wr+tXbt2+PXXX6t0/qrODynP2bNn0bt3b1y6dAmNGzeGXC5H/fr1cfz4caSlpSEtLQ1z587F66+/brVrknnEYjHkcrnDrs8WrkRE5Ei5ubn4448/IBaL0aNHD2RlZWH16tU4f/48vL290bVrV0RFRRl0LAXuvy+dOXMGAEyOxuq2p6am4ujRo2bHI5fL9dP45s6dW+EUA1vVW7d64tq8eXOcOnVK/316ejq8vb3xxBNP6LcVFBTAw8OjSuevyvyQirz++uu4dOkSBgwYgFWrVhkk3V999RXGjh2Lt99+G0OHDuWc3FpG18JVl6TK5XKkpqYiPj6eLVyJiMjmdHNXGzdujK+//hpvvPEG7t27Z3BMSEgI1q1bZ9Ch9Pz58/r/L6/hk+4u4rlz58yO54MPPjB7PqytWD1xDQ8Px8qVK7Fo0SLUq1cPCoUCgwcPNrjFe/bs2Sq/2Y8ePdrge3Pmh1Tkv//9LwBg2rRpBkkrAIwZMwZz5szB6dOncfDgQSYotVDZigC6Fq4A2MKViIhQWFiIgoIC/fceHh5VHpgz5erVqwCAa9euYdKkSYiJicG0adMQHByMY8eOITExEfv370dkZCT++usvNG7cWB+XzoO5jY5urmzZ+CuTlJRUxWdiPVZfnPXee+/B09MTCQkJGDNmDDw8PAyeaGFhIXbt2qVPABytXr16Zh3XpEkTG0dCzootXImIyJR27dpBIpHov2bNmmXV8+sq65SUlKB79+5Ys2YN2rdvD29vb3Tr1g3btm2Dv78/cnJyKqzlWpNYPXF96KGHkJmZieTkZCxYsADHjh1Du3bt9PtPnz6NsWPH4sUXX7T2patEN/d2+vTpuHXrlsG+pUuX4vTp0+jQoQO6d+/uiPDICbCFKxERmZKZmQmNRqP/mjJlilXPX7bu99ixY03u1y183759u8nHFRUVmTz3zZs3AcCoUZQ5jh49irfeeguDBg1C37599dsvXLiA1atX49q1axaf01w2aUAQEBCAiRMnmtzXqVMndOrUyRaXrZLPPvsMmZmZ2Lx5M1q0aIFu3brpF2edPHkSAwYMwNKlS+HmZpMfFTm5B1u4lp3jWnbBFhER1T4+Pj5VSvzMFRISYvL/TR1TthV6UFCQ/v8vXryIDh06GD1ON/gSHBxsUUxvvfUW5s6dqx8NLjvnVRAExMXFYe7cuUhISLDovOaySctXV+Lv7w+lUonhw4fj6tWr2Lx5M9asWYPMzEwEBgaiT58+aNq0aaXnKS4uRkFBgf6r7PwSck1s4UpERI7UunVr/ehpfn6+yWN028vWd/X19dV3xDp06JDJx+m2WzKYuGzZMsyZMwcDBw7En3/+aTTCHBwcjNDQUGzYsMHsc1rKZsOI+/btw/bt23Hp0iUUFxcb7ReJRPjmm29sdXmznTx5Es888wyuXLmCL7/8Es888wx8fX1x9OhRTJ48GW+88QbS09OxZcuWCmuIzpo1C9OnT7dj5GRrbOFKRESO5ObmhsGDByM1NRXbt2/Hs88+a3TMtm3bAAChoaEG25999ll89tlnWLFihdH0zJs3b2Ljxo0AYFFTny+//BKPPPII1q5dCzc3N6MyXMD97lplpy1Ym9UT15KSEgwbNgwKhQKCIJhs26nb7ujEtaSkBEOGDMGZM2ewevVqxMbG6veFh4dj69ataNeuHbZt24Yffvihwnm5U6ZMMaj1mp2dbTC315lpNBqTbUqB+6OOtbVNKVu4EhGRo7377rv46aefsHTpUjz99NMYOHCgft9nn32G3bt3QywWY8KECQaPS0xMxBdffIHt27dj6dKlePnllwHcr686fvx43LhxA126dEG/fv3MjiUzMxMvv/xyhdMn/f39kZeXZ+GzNJ/VpwrMnTsXa9euxYsvvohDhw5BEAQkJiZi3759mD17Nho0aIDY2FicPXvW2pe22P79+5GZmQkPDw+TnzgaNmyoX7xV2acHDw8P+Pr66r9cZRRO1x0qPDzcaLGRrgtaZGSkUWtTW8dkSZtV4P4/RKVSiZUrV0KpVFqt8DFbuBIRkbUcOXIE3bp1039t3rwZALBkyRKD7WXnq7Zt2xZLly6FVqvFM888gy5duiA2NhaPPPII3nrrLX0L1wfnsTZv3hzfffcdxGIxxowZg27duuH5559H69atkZqaCn9/f6xYscKiuqxubm64e/duhcdcunTJqC2tNVl9xHX58uVo3749vv76a/22Bg0aoGvXrujatSv+9a9/ITQ0FH369DG5Qs6eLl68CACoX79+udMAdImJLVfImcNWo6LO1h2qKm1WFQoFEhISDJJdqVSK5ORki26BEBER2VJBQQH2799vtF2tVhu8hz04xXLkyJFo164dZs+ejYyMDPzxxx9o3LgxYmNjMXnyZKNpAjqxsbEICQnBzJkzkZGRgaNHjyIgIAATJkzA1KlT4e/vb1H8HTp0wH//+19otVqTedOtW7ewfft2g6ZT1mb1EdczZ84YtOkUiUQGXR4effRRPPPMM0hJSbH2pS0WGBgIALh+/TpOnz5t8hjdL1jLli3tFteDbDkqqusOVXax0d69e40WJdmr+cKDibTu+ZZNpPPy8vSL3xQKBWJiYoxGaLOzsxETEwOFQmGXuGsjTUER1DmmFwuoc/KhKTBdgoWIqLaSy+UQBKHSL1Mr/bt06YK0tDTk5ubi7t27yMnJwerVq8tNWnWeeOIJrF27Fnl5eSguLsb58+exaNEii5NWAHjppZfw999/Y9y4cUbJdUFBAUaNGoXLly/rpyXYgtUT17p166J+/fr67729vY3mOgQFBZWbKNrCokWL0LZtW4wYMcJge/fu3fXJ6+jRo3HlyhX9vtLSUnzyySfYt28fAGDYsGF2i/dBliZzltItNtIlrz179jRIWu1Z7smSRFqr1SIhIcFgDrWObltiYqLN+iXXZpqCIkTGJyE85l2oLl0x2Ke6dAXhMe8iMj6JySsRUQ3y0ksv4fnnn8c333yDpk2b6tcqhYaGIjAwEGlpaRg5ciRiYmJsFoPVE1fdbWadtm3bYteuXQbJxW+//YZGjRpV6fxVmR+Sn5+PU6dO6acG6Li7u+OHH35A/fr1sWvXLjz00EPo168fhgwZgtatW+vLPLz77rsICwurUrzWYI9RUWfqDmVuIp2RkVFhKSpBEKBSqZCRkWGv0GuNwqLbyMvXIOviZchj39Mnr6pLVyCPfQ9ZFy8jL1+DwqLbDo6UiIisacWKFViyZAlatmyJ7OxsCIKAQ4cOoUWLFkhJScG3335r0+tbfY5reHg41q9fr68c8Nxzz2Hy5MkYOHAg/vWvf2H37t3YvXs3XnrppSqdv6rzQ8rTp08f/PXXX5g3bx5+/fVX7N69GyUlJWjatCmeffZZvPLKK3jqqaeqFKs1lS3BpEvmAFhtVLS87lCOKrCvS6TLtgZ+MJEu++GkIuYeR+aTBjSBcs0MfZIqj30PqcmvIT7hc2RdvIyQFs2gXDMD0gC2SiYiqmlefvllvPzyy7h9+zauX78OX19fmy7IKkskmLrPWg1HjhzB0qVL8d5770EqleLevXsYMmQINm3apD8mNDQUmzdvRuPGja15aaeiVqv1o8/WnB+6d+9eg2Ruz5496NGjR7XOWVF3KEdMF3gwJp0HY1EqlYiIiKj0XDt27DCYd11r3NUAF1YA7g0BNy+bXKLsCKuOLmmVNa+8cYdF7hUA6vWAuzcg9rTuucn6tLeBezcBaRTgbrvOQnZVUgTcuw4ExQF1WVGkNrPVezxVzupTBTp16oSUlBT9C+nu7o4NGzbgwIEDWLlyJfbu3Yu9e/fW6KTVVsobFX1wwZYlnLE71IOJ9J49ewxi0T3fsLAwSKXSckt5iEQiyGQyh07zqOlkzZsiNfk1g22pya9ZP2klolqvKqUSqeaxW8vXzp0747nnnkO3bt1Qp06t7zRrMXOTOUvpukM9OJpZdp6pPbtDWZJIi8ViJCcnA4BR8qr7fv78+RV2PKPqUV26gviEzw22xSd8brRgi4ioOpyx5nhtUKdOHYjFYou/KmpQUO2YbHZmshpbjorqukPt3LnTaDqArjtU2ZqptmZpIh0dHY20tDR9dQgdqVSKtLQ01nG1obLTBEJaNMOedbMR0qKZ0YItIqLqsnV1HTKtd+/eRl8dOnSAIAioU6cOgoKCEBoaiqCgINSpUweCIKBDhw42vdNp9TmuAHDu3DkkJyfjjz/+wKVLlwzquOovLBI5RfcsW7Hm/JeqFOV3ZZY0W9AdGxAQgIyMDOTk5CAgIABhYWHIycmp3S1ZbTjHVZ2Tj/CYdw0WYsmaNzVKZnemzbTeAi3OcXUtnONKVuZM6zFq6xxXtVqNnj17IiwsDDNnzkSLFi30+y5evIgpU6Zgz5492L17t81+LlZPXNPT0zF48GDcvXsX7u7u8PPzK3fI+Ny5c9a8tFOx9i+1rTpnubLaltBbzIaJq66Oa16+xmghli559WsiQXpqEiS+Vro2E1fXwsSVbMCchbv2UFsT1+effx7nz5/Hb7/9Vu4x3bp1Q8uWLbFy5UqbxGD1SQhvv/02xGIxVq1ahSFDhnA+q5VIJJJyk6/a9I+mLGdrV1ubSHy9kJ6ahMKi20YjqrLmTbEzbSZ8vDytl7QSEcG8UolkO9u3b8fYsWMrPKZPnz5YunSpzWKwelb5999/Iy4uDrGxsUxayaacrV2tq7O0havE16vcaQDSgCZMWonI6mxRXYfMd+fOnUpro1+6dAm3b9uu+YzVM8tmzZqhXr161j4tkUnO1K7WlbGFKxE5O1tV1yHzPfHEE/jpp5+wb98+k/v37t2LVatWoUuXLjaLweqJa1xcHLZs2YI7d+5Y+9REJjlTu1pXxRauROTMnLHmeG00Y8YMaLVahIWF4dlnn8XcuXORmpqKuXPnYvDgwejduzcEQcDHH39ssxisnrgmJSWhbdu26N+/P/bs2YObN29a+xJEBnjrqPp0LVzLlrPae+iEQYUAtnAlIkdxtprjtVWvXr3wyy+/ICgoCOvXr8ebb76JUaNG4c0338SGDRsQFBSEzZs3G8xBtjablMPaunUrnn/++QoLAYtEIpSUlFj70k6jtq44tDdnKo/idKpQVcCuLVwtxaoCroVVBcjKnKm6Tm1/jxcEAbt378Yff/wBjUYDiUSCxx9/HL169Sq3m6W1WL2qwKpVq/DCCy+gtLQUISEhCAgIsGkHBaq9TN060n361m2Xy+XYuXOnyT8sWq3WqPZrbe+ypWvh2vPZt/Xb2MKViJwBq+s43ksvvYQOHTrgtddeQ1hYmENaqls9o/zwww/13ZhsOTmXXIetPiXrbh0BMHnrSFfH1dStI4VCgYSEBIP5UFKpFMnJybW621Z5LVydYsSViIgcasWKFXjttdccGoPV57ieO3cOzz//PJNWAmDb/tJVbVerUCgQExNjNIk/OzsbMTExUCgUFsdSE7CFKxERVaRVq1aVlsOyNasnrjKZDFqt1tqnJRdl6/7SEomk3FtEUqnUKGnVarVISEiAqandum2JiYm17ndYnZNvtBCrR+dHjBZslVfnlYiIar6XXnoJmzdvRnZ2tsNisHri+vLLL2Pjxo24du2atU9NLsjZmgRkZGRUWC5FEASoVCpkZGTYJR5n4ePlCb8mEqOFWLLmTfXJq18TCXy8uCiKiKi2GjJkCLp27YoePXrgiy++wIEDB3DhwgVcvHjR6MtWrD7HNSYmBnv27EHPnj3x/vvv4/HHH4evr+kVpS1atLD25ckJPbhgSlcmwxGr/s29xeHoWyH2xhauRERUmZCQEIhEIgiCgEmTJpV7nC0rR1k9cS37pEaMGFHucTW9HBYZcpb+0gEBAVY9riaR+HqVm5iyfisREY0YMcLm5a4qY/XE1RmeFDmf8poE2HvENSwsDFKpFNnZ2SbnuYpEIkilUoeU+CAiInJm3333naNDsH7i6gxPipxLRU0C5HK5XZNXsViM5ORkxMTE6O8M6Og+cM2fP7/W13MlIiJyRlZfnBUSEoKJEyda+7Tkopyxv3R0dDTS0tIQGBhosF0qlSItLa1W13ElIiIyx549e/DFF19g1qxZ+OKLL7Bnzx67XNfqI675+fnsFUx61WkSYEvR0dGIiopi5ywiIiIL7N27Fy+++CLOnDkD4H41Ht0dy4cffhjLli1D9+7dbXZ9qyeujz32GP7++29rn5ZclK5JgKnOWbomAfbsL12WWCyGXC63+3WJiIhc0fHjx9GvXz/cunULTz31FCIiIhAQEIDLly9jx44d2Lp1K/r374/ffvsN7dq1s0kMVk9c3377bQwZMgQ7duxARESEtU9PLoj9pYmIiFzfhx9+iLt37+KXX35BZGSkwb63334b6enpGDRoED788EP89NNPNonB6onr9evX0a9fP/Tr1w+DBw9Gly5d4O/vb7LSQEXlsoiIiIjIeSiVSsTExBglrTqRkZGIiYnBr7/+arMYrJ64jho1Sr9ae+3atVi7di0AGCSuuvkQTFyJiIiIXINGo0HLli0rPKZly5bQaDQ2i8HqieuyZcusfUoiqgE0BUUmO3MBgDonn525iIicXPPmzfHbb79VeMz+/fvRvHlzm8Vg9cR15MiR1j4lEbk4TUERIuOTkJevgXLNDMiaN9XvU126Annse/BrIkF6ahKTVyIiJzVo0CAsXLgQU6dOxXvvvYd69erp9925cwezZs3Cjh07KmwHW11WT1yJaiKtVsvSWdVQWHQbefkaZF28DHnse/rkVZe0Zl28rD+OiSsRkXOaOnUqNm3ahJkzZ2LJkiUIDQ2Fv78/cnNzcfDgQVy5cgUhISGYOnWqzWKwegMCoppGoVAgODgYERERiIuLQ0REBIKDg6FQKBwdmsuQBjSBcs0MhLRopk9e9x46oU9aQ1o0g3LNDJPTCIiIyDk0btwYv/32G0aOHImbN2/il19+wbJly/DLL7+gsLAQL774In777Tc0atTIZjGIBFMN2y1Qp04d1KlTB5mZmWjdujXq1KljsoKA0YVFIpSUlFTn0k5NrVZDJpNBpVKx5JMLUygUiImJwYP/THS/407daeuuBriwAnBvCLg5xyjmgyOsAPRJa9npAybdKwDU6wF3b0DsaeNIqdq0t4F7NwFpFODu6+horKOkCLh3HQiKA+rav/Y0OQ++xwP37t3DyZMnUVBQAF9fX7Rt2xbu7u42v261pwr07t0bIpEI9evXN/ieyNVptVokJCQYJa3AP5UxEhMTERUVxWkDZpI1b4rU5NfQ89m39dtSk1+rPGklIiKn4u7ujg4dOtj9utVOXJVKZYXfl6e4uLi6lyayqYyMDKjV6nL3C4IAlUqFjIwMduAyk+rSFcQnfG6wLT7hc/NGXImIqNaz+xzXI0eOYMKECTYtlUBkDTk5OVY9rrYrO00gpEUz7Fk322DOq+rSFUeHSERETs4uieuNGzewaNEidOzYEV26dEFKSgru3Lljj0sTVVlAQIBVj6vN1Dn5RguxenR+xGjBljon39GhEhGRE7Np4rp9+3YMGzYMzZs3R0JCAv744w9069YNX331FS5fvlz5CYgcKCwsDFKptNw52yKRCDKZDGFhYXaOzPX4eHnCr4nEaCGWrHlTffLq10QCHy8uuiIiovJZvY6rSqXCsmXLsGzZMly8eBGCICAwMBDZ2dkYNWoUvv3222qd/9SpU9i6dSsOHz6Mw4cP48SJE9Bqtfjoo4/w/vvvW3w+cxeSff/992xRW8uIxWIkJycjJiZG38ZYR/d7M3/+fC7MMoPE1wvpqUkmO2fJmjfFzrSZ7JxFRESVskrieu/ePfz888/45ptv8Ouvv0Kr1cLLywsvvPACRowYgT59+sDNzQ1ubtW/XEpKCpKTk60Q9X0Vdfq6ePEiduzYAZFIhPDwcKtdk1xHdHQ00tLSkJCQYLBQSyqVYv78+c5bCssJSXy9yk1MWb+ViIjMYZXEtXnz5rh27RpEIhEiIiIwYsQIREdHw8vL+qMn7du3x+TJk9GxY0d06tQJM2fORGpqapXP991335W7b/z48dixYwf69u2LoKCgKl+jptFoNCgsLDRZu06tVsPHxwcSSc2pcRgdHY2oqCh2ziIiIqpEQUEB5s2bh6SkJJuc3yqJ69WrV1GnTh289tpreOutt9C0qe3K2owePdrg+zp1bDNN986dO1i5ciUA4N///rdNruGKNBoNIiMjkZeXB6VSCZlMpt+nUqkgl8vh5+eH9PT0GpW8isVilrwiIiIqR1FREebPn4958+bhxo0bNktcrZL1jRo1Cp6enpg3bx6kUikGDRqENWvW4O7du9Y4vUOsXbsWN27cQKNGjTB48GBHh+M0CgsLkZeXh6ysLMjlcqhUKgD/JK1ZWVnIy8tDYWGhgyMlIiIiazh9+jRefPFFPPbYY+jUqRMSEhKQl5cH4H5N8wULFqBly5b44IMPUFxcjNdff91msVhlxPXbb7/FggUL8NNPP+Gbb77Bpk2bsHnzZvj6+mLo0KGIj4+3xmXsSreIbPjw4fDw8HBwNM5DKpVCqVTqk1S5XI7U1FTEx8cjKysLISEhUCqVtbYFHlmPpqDI5GIuAFDn3oSPlzsk3vy3SURkS2fOnEFoaCgKCgr0i5R///13bNu2Dbt370ZsbCyUSiXq1auHxMREvP322/Dz87NZPFa7z+7t7Y3Ro0dj3759OH78OBITE1G3bl0sXboU4eHhEIlEOHXqFC5cuGCtS9rM+fPnsWPHDgCcJmCKTCaDUqlESEgIsrKy0LNnT4Oktez0AaKq0BQUITI+CeEx7xo1JlDl3kT4uJ8ROWkTNDfZgY+IyJZmzpwJjUaDMWPG4MCBAzhw4ADGjBmDkydPolevXtixYwdeeOEFnD17FnPnzrVp0grYqI7rI488grlz5yI7OxurV69Gv379IBKJkJGRgVatWuHJJ5+s1oIqW1u2bBkEQUDnzp3x2GOPmfWY4uJiFBQU6L9q+q1ymUxm9BqmpqYyaSWrKCy6jbx8jVFXLVXuLcgnpCMruwB512+jsOiegyMlIqrZduzYgdDQUKSkpKBz587o3LkzFi9ejC5duuDUqVN488038cMPP6BZs2Z2icemDQjc3NwQExODLVu24Pz585g+fTqCgoKwY8cOjBo1ypaXrrLS0lJ9pYGXXnrJ7MfNmjULEolE/9WuXTsbRegcVCqV0RSQ+Ph4/ZzX2k6r1UKpVGLlypVQKpXQarWODsmlSAOaGHXV2nv4b8gTlMjKLkRIoC+Ui6Mg9fd2dKhEVEUajcagzGBZarUaGo3GzhGRKTk5OejZs6fR9l69egEAXnvtNbvGY5eWr8D9uZFTp07F2bNnsW3bNjz//PP2urRFtm/fjosXL8LT0xNxcXFmP27KlCnQaDT6r8zMTBtG6VhlF2KFhIRgz549+mkDZRds1VYKhQLBwcGIiIhAXFwcIiIiEBwcDIVC4ejQXErZrlpZFy+jZ+yHyLpUhJBAHygXR0Hm7+PoEImoinQVasLDw43eM1QqFcLDwxEZGcnk1QncvXvXZJUgX19fALDbSKuO3RLXsp588kksX77cEZeulG5R1pAhQywq5+Th4QFfX1/9l49PzXxTVavVBkmrUqlEjx49DOa8yuXycj9F13QKhQIxMTFGzz87OxsxMTFMXi0ka94UqcmGn+ZTPwhj0krk4lihhqrK6i1fXdm1a9fw888/A+CirPL4+PjoJ16XXYilW7Clq+PqzIm7rRooaLVaJCQkGLSG1REEASKRCImJiYiKimLzAjOpLl1BfMLnBtviP8yAcnFjJq9ELowValzLpk2bcPnyZYNthw4dAnC/WdODRCIRvvjiC5vEwsS1jOXLl6O4uBitWrVii9dySCQSpKenm0z8ZDIZdu7c6dSds2zZQCEjI6PCkWZBEKBSqZCRkcFmBmZQXboCeex7yLp4GSEtmiF17hjEJ8xFVnYh5OPWc7oAkYsrO+Chq1ADgBVqnNChQ4f0ieqDFi9ebLSNiWs1LVq0CIsWLUJoaCh++OGHco/TTRN46aWXIBKJ7BWey9EtQDPF2T8dP3h7SvfHseztKd1xliauOTk5Vj2uNlPn5Bskrco1MyBr6gFlshzyxF3Iyi6AfNx67Fw8mAu0iFyYrkJN2cU/rFDjXHTlQZ2FyyWuR44cMRiWPnv2LABgyZIl2LRpk377unXrEBAQAADIz8/HqVOnKpxAfPToUfz+++8Qi8VOW/GAqs+Wt6d0v2/WOq428/HyhF+T+x8clGtmQNa8KXCvADL/+lB+EQn5hP/Ar6EnfLzcHRwpEVVHeRVqOOLqPJztDrTLJa4FBQXYv3+/0Xa1Wm1wm7a42LLC5LrR1v79+6N58+bVC5Kcmq1uT4WFhUEqlSI7O9vkPFeRSASpVIqwsLBqxV8bSHy9kJ6aZLJzlszfGzsXD2bnLCIX92CFmrKDCGXviBGVJRJMvcNStanVav0taGe/fV5b7d271+D21J49e9CjR49qnVNXVQCAQfKqm3qSlpaG6Ojoal3DbHc1wIUVgHtDwM3LPte0pXsFgHo94O4NiD0dHQ1VRnsbuHcTkEYB7r6OjsY6SoqAe9eBoDigrnPO43cVarUa4eHhRl0XH0xmd+7c6ZTvoXyPdxyHlMMicjRbNVCIjo5GWloaAgMDDbZLpVL7Jq1ERE5MV6HmwTtdZVuKO3uFmtpCLBZb/OXmZrsb+i43VYCoumx9eyo6OhpRUVHIyMhATk4OAgICEBYWxhJYRET/4+oVamqThx9+2OwF6zdu3EBubq5N42HiSrWKqQYKD855lcvl1b49JRaLWfKKiKgCrlyhpjY5efJkpccUFRVh7ty5mDt3LgDgkUcesVk8nCpAtQpvTxEREVlHaWkpFi9ejIcffhjTp0+Hr68vli5dij///NNm1+SIK9UqvD1FRERUfWlpaXj//fdx+vRpSCQSzJw5EwkJCahXr55Nr8vElWodZ7w9pdVqOSeWiIic3s6dO/H222/j4MGDqFu3Ll577TW89957aNiwoV2uz8SVyMEUCgUSEhIM6hBLpVIkJyezCgERETmFY8eO4e2330Z6ejpEIhHi4+Px0Ucf2b3WLue4EjmQru5r2aQVALKzsxETEwOFQuGgyIiIiO5X4hk5ciQ6duyILVu2IDIyEkePHsV3333nkAYRHHElchCtVouEhASTXbYEQYBIJEJiYiKioqI4bYCIiByidevWuHv3Llq1aoWPP/5YXzEnLy+vwsf5+fnZJB4mrkQOkpGRYTTSWpYgCFCpVMjIyGBpLSIicoji4mKIRCKcPXsWw4YNM+sxIpEIJSUlNomHiSuRg+Tk5Fj1OCIiImvr3bu32Q0I7IGJK5GDBAQEWPU4IiIia1MqlY4OwQAXZxE5SFhYGKRSabmfZEUiEWQyGcLCwuwcGRERkXNi4krkIGKxGMnJyQBglLzqvp8/fz4XZhERkdMqKSnB0aNHcfToUdy7d8/m12PiSuRA0dHRSEtLQ2BgoMF2qVSKtLQ01nElIiKHOnfuHL799lv8/fffRvs2bdqEwMBAdO7cGZ07d0ZAQABWr15t03g4x5XIwaKjoxEVFcXOWURE5HSWLl2K2bNnIysry2D7mTNnMHToUNy5cwdBQUHw8vLCiRMn8MILL+Dhhx9Gx44dbRIPR1yJnIBYLIZcLsewYcMgl8uZtBIRkVPYvXs3/u///g9BQUEG25OTk3Hnzh1MmDAB586dw7Fjx7B27VpotVosWrTIZvEwcSUiIiIik86dO4fQ0FCj7enp6ahbty5mzpyp3zZ48GCEhYUhIyPDZvFwqgCRC9JqtZxaQERENnflyhU0adLEYNu1a9dw9uxZhIWFwcfHx2Bfx44dcejQIZvFwxFXIhejUCgQHByMiIgIxMXFISIiAsHBwVAoFI4OjYiIKnDq1CksXLgQo0aNQocOHeDm5gaRSISPP/7YovN8+eWXEIlEEIlEGD16dIXHHj58GLGxsfD390e9evXQsmVLvPrqq5W2bNVxd3fH1atXjc4JAJ07dzY63svLy8xnUTUccSVyIQqFAjExMRAEwWB7dnY2YmJiWImAiMiJpaSk6MsgVlVWVhbeeustiEQio/eCB6WlpWHYsGEoKSlBly5d0LJlSxw6dAiLFi3CmjVrsHv3bjz00EMVnqN169b49ddfDbZt3boVIpEIPXr0MDr+0qVLNm2cwxFXIheh1WqRkJBg8g+VbltiYiK0Wq29QyMiIjO0b98ekydPxvLly3HixAnEx8db9PjS0lKMGjUKIpEII0aMqPDYS5cuYeTIkSgpKcGSJUtw4MABrFq1Cn///TeGDx+O3NxcxMXFVZr8DhkyBKdPn8a4cePw559/Ii0tDV999RW8vb0RGRlpdPyePXsqTYargyOuRC4iIyMDarW63P2CIEClUiEjIwNyudx+gRERkVkevK1fp45l44fJycnIyMjAF198Uemt/vnz5+PWrVvo27cvxowZo98uFouRkpKCjRs34uDBg9i6dSv69+9f7nkSExOxatUqfPXVV1i6dCmA++838+bNM5oWcOjQIZw5cwZjx4616HlZgiOuRC4iJyfHqscREZHrOHXqFN577z2Eh4fjlVdeqfT4devWAQDi4uKM9nl7e2PQoEEAUOn6iPr162PPnj2YPn06IiMj8cILL2D9+vVITEw0OvbIkSOIiorSn9sWOOJK5CLMnTNky7lFRERkf1qtFiNHjoRIJMI333xj1Cb8QYWFhThz5gwA0wuodNtTU1Nx9OjRSq/v7e2NqVOnVnrcmDFjDEZ3bYEjrkQuIiwsDFKptNw/WCKRCDKZDGFhYXaOjIiIbOmzzz7D/v37MWPGDLRq1arS48+fP6///xYtWpg8RiaTAbhfp9WVMHElchFisVi/GvXB5FX3/fz581nPlYjITgoLC1FQUKD/Ki4utvo1jh07hmnTpqFHjx6YNGmS2XHplFeeytvbGwBQUFBQ/SDtiIkrkQuJjo5GWloaAgMDDbZLpVKWwiIisrN27dpBIpHov2bNmmXV85eUlGDkyJGoU6cOvv32W4sXc9VEnONK5GKio6MRFRXFzllERA6WmZlpMJDg4eFh1fPPmDEDR44cwezZs9GmTRuzH1e2m1VRUREkEonRMTdv3gQA+Pr6Vj9QO2LiSuSCxGIxS14RETmYj4+PTRM/XWWAjRs34pdffjHYp5vHunnzZv37gVKpBAAEBQXpj7t48SI6dOhgdG6VSgUACA4Otm7QNsbElagW0Gq1yDiQiZzcawjwb4Sw0HYcoSUichG7d+8ud9/ly5dx+fJlg22+vr546KGHcObMGRw6dMhk4nro0CEAQKdOnawbrI1xsgRRDadIP4Dg7qMRMfQ9xL06FxFD30Nw99FQbNnr6NCIiKgCv//+OwRBMPk1bdo0AMC///1v/baynn32WQDAihUrjM578+ZNbNy4EQBcbm0EE1eiGkzxn6OIGf851DlXDbZnX76KmLGfMHklIqqhEhMTUb9+fWzfvl3f8Qq4fwdu/PjxuHHjBrp06YJ+/fo5MErLcaoAUQ2l1WqRMGMNTLWhFgRAJAISk75GVL+unDZARGQHR44cwfjx4/Xfnz17FgCwZMkSbNq0Sb993bp11W4m07x5c3z33XcYNmwYxowZg2+++QbBwcE4ePAgsrKy4O/vjxUrVlTazMDZMHElqqEydu+F+vKNcvcLAqC6lI+MA5mQdzee/0RERNZVUFCA/fv3G21Xq9VQq9X6761VDzY2NhYhISGYOXMmMjIycPToUQQEBGDChAmYOnUq/P39rXIde2LiSlRD5VzONe+43Gs2joSIiABALpcbzUWtqqSkJCQlJVV63BNPPIG1a9da5ZrOgHNciWqogGbmfZIO8G9k40iIiIisw+US11OnTmHhwoUYNWoUOnToADc3N4hEInz88cfVOm9paSm+//579O3bF02bNoWHhwcCAgLQp08ffPnll1aKnsh+wnr1gLRZA5Q3fUkkAmTNmyAstJ19AyMiIqoil5sqkJKSou/Xbi0ajQaDBg3Crl274Ovrix49eqBBgwbIzs7G0aNHUVBQYDCZmsgViMViJL8Xi5hJSyESwWCRli6ZnZ80mguziIjIZbjciGv79u0xefJkLF++HCdOnEB8fHy1zicIAgYPHoxdu3Zh7NixyM7OxpYtW7By5Urs2rULubm5WLx4sZWiJ7Kv6P4dkfblawhs1thguzSgCdKWvIPop3s4KDIiIiLLudyI6+jRow2+r1Onern3smXLoFQq0b9/f5MJat26ddG5c+dqXYPIkaIjQxH1dG92ziIiIpfncomrtS1YsAAA8Oabbzo4EiLbEYvFZpe8YntYIiJyVrU6cc3NzcUff/wBsViMHj16ICsrC6tXr8b58+fh7e2Nrl27IioqCnXr1nV0qER2odiyFwnTlhp02pIGNEby9Jc5rYCIiByuVieuf/75JwCgcePG+Prrr/HGG2/g3r17BseEhIRg3bp1eOyxxxwRIpHdKLbsRczYT4w6benaw3JOLBEROZrLLc6ypqtX748qXbt2DZMmTUJUVBT++usvFBYWYt++fejatSuysrIQGRmpP7Y8xcXFKCgo0H8VFhba4ykQWYVWq0XCtKXltocF7reH1Wq19g2MiIiojFqduOq6V5SUlKB79+5Ys2YN2rdvD29vb3Tr1g3btm2Dv78/cnJyKq3lOmvWLEgkEv1Xu3asjUmuI+NApsH0gAeVbQ9LRETkKLU6cfXx8dH//9ixY03uHz58OABg+/btFZ5rypQp0Gg0+q/MTL7Bk+swt+0r28MSEZEj1eo5riEhISb/39QxOTk5FZ7Lw8MDHh4e+u8LCgqsECGRfZjb9pXtYYmIyJFq9Yhr69at9aOu+fn5Jo/Rbff29rZbXET2FhbaDtKAxmwPS0RETq1WJ65ubm4YPHgwgPKnAmzbtg0AEBoaaq+wiOxOLBYjefrLAGCUvLI9LBEROYtakbguWrQIbdu2xYgRI4z2vfvuu3B3d8fSpUuxadMmg32fffYZdu/eDbFYjAkTJtgrXCKHiH66B9KWvMP2sETk8rRaLZRKJVauXAmlUsmKKDWIy81xPXLkCMaPH6///uzZswCAJUuWGCSe69atQ0BAAID7t/tPnTqFZs2aGZ2vbdu2WLp0KV566SU888wz6Ny5M4KDg3Hs2DGcPHkSYrEYKSkp6NDBvK5DRK4s+ukeiOrX1aLOWey0RUTORKFQICEhAWq1Wr9NKpUiOTkZ0dHRDoyMrMHlEteCggLs37/faLtarTb4JS0uLjb7nCNHjkS7du0we/ZsZGRk4I8//kDjxo0RGxuLyZMnc5oA1SqWtIdlpy0iciYKhQIxMTH6cpc62dnZiImJQVpaGpNXFycSHnx1ySrUajVkMhlUKhWkUqmjw6Ha6K4GuLACcG8IuHlZ/fTlddrSzYm1+vSCewWAej3g7g2IPa13XrIN7W3g3k1AGgW4+zo6GusoKQLuXQeC4oC6EkdHQw/QarUIDg42GMQqSyQSQSqV4ty5c9W+K8T3eMepFXNcici62GmLiJxNRkZGuUkrcL/pkEqlQkZGhh2jImtj4kpEFmOnLSJyNpXVW7f0OHJOTFyJyGLstEVEzka3INtax5FzYuJKRBZjpy0icjZhYWGQSqUQldNJRSQSQSaTISwszM6RkTUxcSUii7HTFhE5G7FYjOTkZAAwSl5138+fP5/l+lwcE1cishg7bRGRo1TUXCA6OhppaWkIDAw0eIxUKmUprBrC5eq4EpFz0HXaMq7j2gTzk0aXWwqLDQuIqKrMaS4QHR2NqKgoZGRkICcnBwEBAQgLC+PfmRqCiSsRVZmlnbbYsICIqsqS5gJisRhyudwBUZKtcaoAEVWLrtPWsMHhkHfvUGHSGjP2E6MyWtmXryJm7CdQbNlrj3CJyAVptVokJCQYJa0A9NsSExNZO7oWYOJKRDbHhgVEVB1sLkA6TFyJyObYsICIqoPNBUiHiSsR2RwbFhBRdbC5AOkwcSUim2PDAiKqDjYXIB0mrkRkc2xYQETlqaguqw6bC5AOE1cisrnqNCzQarVQ7vsLKzfshfJoHrTaUluHS0R2olAoEBwcjIiICMTFxSEiIgLBwcFQKBRGx7K5AAGs40pEdlKVhgUm6776HUTyG2GIjmhll7iJyDYsqcuqw+YCJBJMFUWjalOr1ZDJZFCpVJBKpY4Oh2qjuxrgwgrAvSHg5uXoaPTM7Zylq/v64F8o3YBt2uz+TF6dmfY2cO8mII0C3H0dHY11lBQB964DQXFAXYmjo3FpWq0WwcHB5Za4EolEkEqlOHfunFMmpXyPdxyOuBKRXekaFlSkwrqvuJ+8Js7bg6jeLSEWc8YTkauxpC4rO2BRWfyLT0ROp9K6rwBUuTeR8TtrNhK5ItZlpapi4kpETsfsuq/5t2wcCRHZAuuyUlUxcSUip2N23dcm9W0cCRHZAuuyUlUxcSUip1Np3VcAMn9vhP2f8WiMVlsK5eFsrPzPaSgPZ7N8FpGdsS4r2RITVyJyOhXWff3ff+e/3tNoYZZix1kER6Ui4pX1iJu6DRGvrEdwVCoUO87aIWoiYl1WsjUmrkTklHR1XwObNTbYLvXzMlkKS7HjLGLe/g/UeUUG27PzihDz9n+YvBLZmK4u64PVAnR1WctLXs+fP48dO3ZgxYoV2LFjB86dO8eklcrFOq42whpv5HBOWsfVUvq6r5eyESA6jrAngiGu6/XAMaUIjko1Slp1RACk/t449/Nwls+yF9ZxrVVcvS6rpfge7zj8C05ETk1X93XYoB6Qd/QzmXhm/J5TbtIKsHwWka1ZUpeVqDqYuBKRyzO3LBbLZxHZBuuykr2wcxYRuTxzy2KZOk6rLUXG7znIyb+FgCb1EfZ/AZxOQFSGVqtFRkYGcnJyEBAQgLCwMKPb/azLSvbCxJWIXF7Y/wVA6ueF7LwimJq0r5vj+mD5LMWOs0iYu9tgmoHUzwvJb/QyWvxFVBspFAokJCQYTAOQSqVITk42WEClq8uanZ0NU0tndHNcWZeVqovDCkTk8sTiOkh+oxeAf8pl6ZRXPotVCIgqZkmVANZlJXth4kpENUJ0RCukze6PQD/DigNSf2+j8llabSkS5u42OTqr25Y4bw+bF1CtpdVqkZCQYHL0VLctMTHRoLkA67KSPXCqABHVGNERrRDVu2Wlc1YtqUIgfyKw3OOIaipLqgTI5XL99ujoaERFRVU6J5aoqpi4ElGNIhbXqTTZZBUCoopVp0qAWCw2SGaJrImJKxHVOqxCQLUZqwSQK2PiSkS1DqsQUG3FKgHk6jhMQES1DqsQUG3EKgFUE7hc4nrq1CksXLgQo0aNQocOHeDm5gaRSISPP/64SudLSkqCSCSq8OvkyZNWfhZE5GisQkC1CasEUE3hclMFUlJS9J8Crenxxx/H//3f/5ncJ5FIrH49InI8ViGg2oJVAqimcLnEtX379pg8eTI6duyITp06YebMmUhNTa32eQcPHoykpKTqB0hELsWWVQi4kIvswZzFVqwSQDWFyyWuo0ePNvi+Th2+CRCRbVWlCgEXcpE9mLvYilUCqKZg1kdEVAldFYIHF3LpiADIylQh4EIusgdLFlvpqgQ8uNBKRyQSQSaTsUoAOT0mrv9z5MgRvPPOOxgzZgzefPNNrFixAoWFhY4Oi4icgCVVCLiQi+zB0sVWrBJANQUT1//ZuHEjZs+ejaVLl2LOnDl44YUXIJPJ8MMPPzg6NCJyAuZWIbBkIdeDtNpSKA9nY+V/TkN5OJvJbS2l1WqhVCqxcuVKKJVKg5X+OpYsttJhlQCqCVxujqu1tWrVCjNnzsTTTz+NoKAgAEBmZiY++eQTbNq0CSNHjoRYLMYLL7xQ4XmKi4tRXFys/56jtUQ1jzlVCKq6kItzYgkwf85qVRdbsUoAubpan7jGx8cbbevZsyc2btyISZMmYeHChXjttdcQGxuLunXrlnueWbNmYfr06bYMlYicQGVVCKq6kCvm7f8YTS/QzYl9sK4s1Uy6OasP3v7XzVktOypancVWrBJAroxTBSqQlJQEsViMK1euYP/+/RUeO2XKFGg0Gv1XZmamnaIkImdi6UKu6syJ5dQC11HZ7X9L56xysRXVVkxcK9CoUSP4+fkBQIVziQDAw8MDvr6++i8fHx97hEhETsbSdrJVnROr2HEWwVGpiHhlPeKmbkPEK+sRHJXKigVOSKFQIDg4GBEREYiLi0NERASCg4MNVv1bOmeVi62otmLiWgGtVguNRgMATESJyGyWtJOtypxYlttyHeaWrKrKnFUutqLaqNbPca3Ihg0bcOvWLYhEInTu3NnR4RCRCzG3naylc2Irm1ogwv2pBVG9Wxpdi528rMecblWV3f4XiURITExEVFRUleescrEV1Ta1InFdtGgRFi1ahNDQUIPyVhcvXsSuXbsQExODevXqGTzm559/1nfpeuGFF9CsWTO7xkxErs+cdrK6ObHZeUUmk1ER7o/U6ubEWjK1oOy1WbXAehQ/b0DCG+9WuvLfktv/ujmr2dnZJhNdkUgEqVRqcs4qF1tRbeJyH7WPHDmCbt266b82b94MAFiyZInB9rK3U/Lz83Hq1ClcvHjR4FzXrl1DfHw8mjZtit69e2PYsGEYPHgwWrdujWeffRbXrl1DREQEUlJS7Pociaj2sHROrD2nFtSmxV9arRbKfX9h5c87odz3l8naqQCg+M9RxDw/0qxuVZbc/uecVSLzuNyIa0FBgckV/mq12uAPSdmaquWRyWR4++23cfDgQZw5cwZHjhzB3bt30aRJEwwcOBBxcXF47rnnUKeOy+X3RORCdHNijUZE/b0x//WeBiOi9ppaUJURWoOpCI3ECGvnDUelWVqtFhkHMpGTew0B/o0QFtqu3KRPsWUvEqYthTrnqn6bNKAxkqe/jOine5Q5ZykSZqwx69a/WCy2+Pa/bs6qqTqu8+fP55xVIgAiwdS/QKo2tVoNmUwGlUoFqVTq6HCoNrqrAS6sANwbAm5elR/v7O4VAOr1gLs3IPZ0dDQ2Yc4cVK22FMFRqZVOLTj383CIxXWgPJyNiFfWV3rtHSlR+qkF5dWV1Y0DmqorazLRbeqJ5OljEP3Mkyaeq/mJpaXHm5uI6o6NGfsJHnwn1A16pi15R/8Y5e6DiBj2Ubkx6uzYsQNyuRxarRbBwcGV3v4/d+6cwXMxZ/4smabRaFBYWGjyfVetVsPHxwcSiaTa1+F7vOO43IgrEVFNZc6cWN3Ugpi3/wMRYJBcWmNqQVVGaMttoHDlNmImJCPNzdMgYbQksbT0+PIS0ezLVxEz9hODRFSr1SJh2lKjYwFAEO4nr4lJXyOqX1eIxWLk5F038VMxppsioLv9HxMTA5FIZJC8VnT7n3NWq0aj0SAyMhJ5eXlQKpWQyWT6fSqVCnK5HH5+fkhPT7dK8kqOwXvgREQuxpJyW5ZOLbC0rqxZDRSSvtbPGdUllmWTUOCfxFKxZa/BdkuOrywRfTCWjAOZRud98DGqS/nIOHC/oUyAX8Nyjy2r7BQBlqyyn8LCQuTl5SErKwtyuRwqlQrAP0lrVlYW8vLy2JLdxXHElYjIBZlbbsvSqgWWjtBWmuiWSf7CQttZNMJp6YioJYmovHsH5OReM++5/u+4sC5tIW3WANm5GotW/rNklX1IpVIolUp9kiqXy5Gamor4+HhkZWUhJCQESqWSt/ZdHEdciYhclG5qwbD+D0P+RKDJmqyWVi2wdITW7EQ395rFI5yWHm9pIhrg38is43XHicV1kPxeLADLV/7rbv8PGzYMcrmcSauNyGQyKJVKhISEICsrCz179jRIWstOHyDXxMSViKiGs2RqgW6E9sEkV0cEQFZmhNbsRNe/kcWJpa0T0bDQdpAGNIaonCcrEgGy5k0QFtpOvy26f0ek/fQ9b/07MZlMhtTUVINtqampTpG0njp1CgsXLsSoUaPQoUMHuLm5QSQS4eOPPzZ5fGlpKfbu3YsPPvgAvXr1QuPGjeHu7o4mTZrgqaeewvLly02O/pd1+PBhxMbGwt/fH/Xq1UPLli3x6quvIi8vzxZP0eY4VYCIqBYwd2qBpYu/Kp2KIAKkAfeTP93IaGV0iWVVE9Hsy1dNTi8oGwvwv8VT019GzNhPIBLB4DG6ZHZ+0mij0dHowYMQNSSOt/6dlEqlQnx8vMG2+Ph4pxhxTUlJ0dfrNYdu1BgAGjVqhM6dO6Nhw4bIysrC9u3bsX37dvz0009Yu3Yt6tata/T4tLQ0DBs2DCUlJejSpQtatmyJQ4cOYdGiRVizZg12796Nhx56yGrPzx444kpEVEuYM7UAsGyE1qypCP9L/iwd4bT0eF0iqtv34LFlY9E/16d7IG3JOwhs1tjwuQY0MahA8CDe+ndOZRdihYSEYM+ePfppA2UXbDlK+/btMXnyZCxfvhwnTpwwSrAfJBKJ0KdPH2zZsgV5eXn4z3/+g59++gkHDhyAUqmEl5cXNm3ahE8++cTosZcuXcLIkSNRUlKCJUuW4MCBA1i1ahX+/vtvDB8+HLm5uYiLi6t0xNbZsI6rjbDGGzkc67hSNZlTV1bHVB1XmZ8n5icZ1nHVVQkATI9wPpgsWnq87jEPls+SNW+C+Umjy01EzaoTW1IE3LsOBMUBdVlOydmo1WqEh4cbzWl9MJnduXNntd+XrfUeP2rUKHz//ff46KOP8P7771v8+I8//hhTp05Fq1atcObMGYN9b731Fj777DP07dsX27ZtM9h38+ZNSKVSaDQapKeno3///lV+DvbGqQJERGSSOXVldYymIug6ZwV1MTzufyOcxnVZTSeWlh6ve0xUv64WNTgQi8WQd+9g1nMl5+Tj4wM/Pz8AMJgWoFuwpavj6uPj48gwrapjx44AYHIked26dQCAuLg4o33e3t4YNGgQUlNToVAomLgSEVHtY5Doam8D926aPM7SxJKJKJlDIpEgPT3dZOcsmUyGnTt3Wq1zlrM4ffo0ABi1Fy4sLNSPwHbu3NnkYzt37ozU1FQcPXrUtkFaGRNXIiKyO0sTSyaiZA6JRFJuYlrTpu3dunULCxYsAAAMGTLEYN/58+f1/9+iRQuTj9eNSJ87d842AdoIE1ciIiKiKigsLERBQYH+ew8PD3h4eNjl2uPHj8e5c+fQvHlzvPvuu0Zx6Xh5mV7j4O3tDQAG8bsCVhUgIiIiqoJ27drpR3klEglmzZpll+t+9NFH+P7771GvXj2sXr0ajRs3rvxBNQRHXImIiIiqIDMz06AZhT1GW+fNm4cPPvgAHh4eWLdunb7Oa1llF6AVFRWZnD5x8+b9Oei+vr62C9YGOOJKREREVAU+Pj7w9fXVf9k6cV24cCHeeOMN1K1bF2vXrkVkZKTJ44KCgvT/f/HiRZPH6CoRBAcHWz1OW2LiSkREROTkvvjiC0yaNEmftA4YMKDcY319ffUdsQ4dOmTyGN32Tp06WT9YG2LiSkREROTEFi9ejIkTJ+qT1oEDB1b6mGeffRYAsGLFCqN9N2/exMaNGwEA0dHR1g3Wxpi4EhERETmppUuXYvz48RYlrQCQmJiI+vXrY/v27Vi6dKl+u1arxfjx43Hjxg106dIF/fr1s1XoNsHFWURERER2cOTIEYwfP17//dmzZwEAS5YswaZNm/Tb161bh4CAAPz+++8YO3YsBEFASEgI0tLSkJaWZvLc3333ncH3zZs3x3fffYdhw4ZhzJgx+OabbxAcHIyDBw8iKysL/v7+WLFiBUS6/skugomrjZSWlgIAcnJyHBwJ1Vr3CoDL1wHRbUBsn7qCNlVyE8i9AYhuAXXqOjoaqkzpXUC4C0ANuHk7Ohrr0BYDwh3ALRtwL6z8eKqxdO/tuvd6cxUUFGD//v1G29VqNdRqtf774uJiAMCNGzcgCAIA4OTJkzh58mS5534wcQWA2NhYhISEYObMmcjIyMDRo0cREBCACRMmYOrUqfD397cofmcgEnQ/EbKqgwcPIjQ01NFhEBERkY0cOHAAXbp0cXQYtQoTVxspKSnB0aNH4e/vjzp1LJtKXFhYiHbt2iEzM9OgFhvVbHzdaye+7rUTX3fXVlpaitzcXHTs2BFubrx5bU9MXJ1QQUEBJBIJNBqNyxUGpqrj61478XWvnfi6E1UNqwoQERERkUtg4kpERERELoGJqxPy8PDAtGnT7NLzmJwHX/faia977cTXnahqOMeViIiIiFwCR1yJiIiIyCUwcSUiIiIil8DE1Q4KCwvx7rvvok2bNvD09ESTJk0wYMAA/Pe//63yOUtLS7FkyRJ07doVPj4+8PHxQdeuXfHVV1/BktkfX375JUQiEUQiEUaPHl3leMiYM7zupaWl2Lt3Lz744AP06tULjRs3hru7O5o0aYKnnnoKy5cvt+j3he5bs2YN5HI5GjZsCC8vLzz++OP49NNPce/evSqd7/Dhw4iNjYW/vz/q1auHli1b4tVXX0VeXl6Fj8vNzcXEiRPRsmVLeHh4wN/fH7GxsThy5EiV4qCKOfp1v3jxIpYsWYLo6GgEBQXBw8MD3t7eePzxx/Huu+/iypUr1Xl6RK5BIJvKzc0VWrduLQAQAgIChNjYWKF3796CSCQSRCKRsGDBAovPWVJSIkRHRwsAhPr16wvPPPOM8Mwzzwienp4CACE2NlbQarWVnufs2bOCl5eXIBKJBADCv//976o8RTLBWV7306dPCwAEAEKjRo2Efv36Cc8995zQpUsX/faBAwcKxcXF1nrqNV5CQoIAQHBzcxP69esnREdHCw0aNBAACL169RJu3bpl0fnWrFkjuLm5CQCELl26CEOHDhVCQkIEAIK/v79w+vRpk487deqU4OfnJwAQQkJChKFDh+pfVzc3N0GhUFjj6dL/OMPr3rNnT30MXbp0EZ577jnhqaeeEnx9fQUAQtOmTYWjR49a6RkTOScmrjYWFRUlABCefPJJoaioSL998+bNglgsFurUqSP88ccfFp3z888/FwAIgYGBQlZWln57VlaW0Lx5cwGAsHDhwgrPodVqhbCwMMHb21sYOXIkE1crc5bX/cyZM0KfPn2ELVu2CCUlJQb7lEql4OXlJQAQpk+fXoVnWfusW7dOACB4e3sLhw8f1m+/cuWK0KFDBwGA8MYbb5h9vuzsbKF+/foCAGHJkiX67SUlJcLw4cP1SU1paanB40pLS4WOHTsKAIT4+HiD13bJkiX6GHNycqrxbEnHWV73oUOHCp9//rmQn59vsD0vL0+Qy+UCAOHhhx82+rdOVJMwcbWh48ePCwAEsVgsnD9/3mj/v//9bwGA8Pzzz5t9Tq1WKzRr1kwAIPz4449G+1NTUwUAQvPmzSscdZ03b54AQPjiiy+EadOmMXG1Imd+3R/00UcfCQCEVq1amf2Y2kw3ovnxxx8b7cvIyBAACB4eHsKNGzfMOt+bb74pABD69u1rtK+wsFCQSCQCACE9Pd1g3+bNmwUAQoMGDYTCwkKjxz755JMCAOGdd94x85lRRZzlda+ISqXS30XJyMgw+3FEroZzXG1o3bp1AICePXsiKCjIaH9cXBwAYOPGjWbPkdq3bx8uX74MDw8PDBkyxGj/kCFDULduXVy6dAn79+83eY5Tp07hvffeQ3h4OF555RVznw6ZyVlfd1M6duwIAFCpVGY/prbKzs7GwYMHAfzzGpbVq1cvyGQyFBcX45dffjHrnLrfFVPn8/b2xqBBgwAACoXC5OMGDRoEb29vo8fqzvfg48hyzvS6V0QqlaJJkyYA+O+ZajYmrjZ09OhRAEDnzp1N7tdtLyoqwunTpy0656OPPop69eoZ7ff09MSjjz5qcGxZWq0WI0eOhEgkwjfffAORSGTWdcl8zvi6l0d3/YCAALMfU1vpfq6NGjVCy5YtTR6je23NeQ0KCwtx5swZg8eZez5zf8dOnz6NoqKiSmOh8jnT616R/Px8XL9+HQD/PVPNxsTVhs6dOwcAaNGihcn9vr6+8PX1NTi2uucEAJlMVu45P/vsM+zfvx8zZsxAq1atzLomWcYZX3dTbt26hQULFgCAyVFcMmTt1+D8+fP6/y/vnOWdr7JYdI8TBMHgOmQ5Z3rdKzJnzhxotVoEBASgR48eZj+OyNUwcbWhwsJCAICXl1e5x+hu8xUUFNj8nMeOHcO0adPQo0cPTJo0yazrkeWc7XUvz/jx43Hu3Dk0b94c7777rlmPqc2s/RrozlfROcs7X2WxlJ0+YO7vA5nmTK97ebZv3445c+YAAObOnYu6deua9TgiV+Tm6ACc1VtvvYUNGzZY/Livv/4avXr1skFE1VNSUoKRI0eiTp06+Pbbb1GnDj+zmFLTXvfyfPTRR/j+++9Rr149rF69Go0bN3Z0SERUBX/99RdiY2Oh1Wrx6quvYtiwYY4OicimmLiW49KlSzh16pTFj7t586b+/318fACgwjlmuuN1t44rU9VzzpgxA0eOHMHs2bPRpk0bs65VG9W0192UefPm4YMPPoCHhwfWrVuHnj17mhVDbWft11V3Pt05JRKJ2efz8fHBtWvXyo2l7O+jub9jZJozve4POnnyJPr27YsbN27gxRdfRHJycqXXJ3J1TFzL8eOPP+LHH3+s1jmCg4Nx5MgRXLx40eT+goIC/a2g4OBgs88JoNxzAv+sKC17Tt0q1o0bNxqtfNXNudq8eTPkcjkAQKlUmhVPTVPTXvcHLVy4EG+88Qbq1q2LtWvXIjIy0qzr0z8/14pWbJvzGuiUrThx8eJFdOjQwezzBQcH49q1a+X+PugeJxKJTFa2IPM50+te1t9//40+ffogLy8PI0aMwNdff83FtlQr8H6xDXXq1AkAcOjQIZP7ddu9vLzQunVri855/Phx3Llzx2j/7du3cfz4cYNjy9q9ezd27txp8HXhwgUAwOXLl/XbqOqc8XUHgC+++AKTJk3SJ60DBgww69p0n6502NWrV8tdNKN7bct7Dcry9fXFQw89ZPA4c89n7u/Yww8/bLJcFpnPmV53ndOnTyMiIgI5OTkYPnw4li1bxulfVHs4upBsTXbs2DF9IfoLFy4Y7XeWQvRsQGBdzvi6p6SkCACEunXrChs3brTsCZGevQvR61qKVtSA4ObNm0aPZQMC63KW110Q7nfDCwwMFAAIw4cPt6jhCFFNwMTVxnStP/v27WvQy/qXX36psPVnfHy80KZNG5OtWytq/an7g1ZZy9eymLhanzO97l999ZUgEomYtFpBea0/8/Pzy239qVAohDZt2gh9+vQxOl/Z1p9fffWVfntJSYkQHx9vVsvXESNGsOWrjTnL656VlSXIZDJ9q18mrVQbMXG1sdzcXOHhhx8WAAgBAQHC0KFDBblcLohEIgGAkJycbPJx4eHhAgBh2rRpRvtKSkqEZ599VgAg1K9fXxg0aJAwaNAg/R/CmJgYi/6gMXG1Pmd53Y8ePaq/Ztu2bYWRI0eW+0XmmTRpkgBAcHd3FyIjI4UhQ4boR8h69uxp8EFFEARh2bJlAgAhKCjI5PlWr14tiMViAYDQtWtX4bnnnhNCQkIEAIK/v79w+vRpk487efKk0LRpUwGAEBISIjz33HNCaGioAEBwc3MTFAqFtZ96reYMr7vuw4qHh4cQHx9f7r9ltnylmoyJqx1oNBrhnXfeER5++GHBw8NDaNSokRAZGSls37693MdUlMAIwv1bx4sXLxY6d+4seHl5CV5eXkKXLl2ExYsXG31KrwwTV9twhtd9x44d+v7llX2R+VatWiX07t1b8PX1FTw9PYX27dsLn3zyiVBcXGx0bGUJjCAIwqFDh4To6GihadOmQt26dYWgoCBhwoQJwuXLlyuMIycnR5gwYYIQFBQk1K1bV2jatKkQHR1tMCpI1uPo1z0oKMisf8vLli2z0jMmcj4iQRAE82fEEhERERE5BpchEhEREZFLYOJKRERERC6BiSsRERERuQQmrkRERETkEpi4EhEREZFLYOJKRERERC6BiSsRERERuQQmrkRERETkEpi4EhEREZFLYOJKRC5BLpdDJBKZfbxSqYRIJEJSUpLNYrL1NUQiEeRyuU3OTUTkipi4EpHV7dixA8899xxkMhk8PDzQqFEj9OrVC59//jnu3Lnj0NiCg4MRHBzskGsnJSVBJBIZfHl5eeGxxx5DUlISioqKHBIXEZGrcHN0AERUc5SUlGDChAn46quv4OXlhaeffhoPPfQQNBoNtm7ditdffx2LFy/G5s2b8dBDD9k0ltDQUJw4cQJNmjSx6XWqYsiQIWjfvj0AICcnBxs2bMD06dOxceNG7Nu3D3Xr1nVwhEREzomJKxFZzZQpU/DVV1+hS5cuWLduHQIDA/X7tFotPvzwQ3z44YeIjIzEkSNH4Ovra7NY6tevj7Zt29rs/NURExOD559/Xv/9nDlzEBoaiiNHjmDFihUYNWqU44IjInJinCpARFbx999/Y968eWjUqBE2btxokLQCgFgsxvTp0xEXF4ezZ89izpw5Bvt1t/Bv3LiBiRMnQiaTwc3NDd99953BcXfu3ME777yDFi1aoF69enjkkUewcOFCCIJgcNyD80/Pnz8PkUiECxcu4MKFCwa363XH3L17FwsXLkT//v310xz8/PwQHR2No0ePWvXnVZaPj48+WT148KDR/tzcXIwcORJNmjSBp6cnunXrBqVSaXTc4cOHMXHiRLRv3x4SiQSenp7o0KEDPvnkE9y7d8/o+NOnT+PFF19Ey5Yt9VM6Hn/8cSQmJhr9PAsLCzFt2jQ8+uij8PT0RIMGDdC/f3/s3r3bKj8DIiJzcMSViKzi+++/R2lpKcaMGQN/f/9yj5s6dSpWrFiBb7/9Fh9++KHBvuLiYvTp0wc3b97EoEGD4ObmZnSuoUOH4ujRoxgyZAgAYO3atZg0aRLOnz+PuXPnlnvdBg0aYNq0aZg/fz4AIDExUb9PtwDq2rVrSExMRFhYGP71r3+hYcOGyMrKwoYNG7Blyxbs2rULXbp0seCnYrkHF6DduHEDvXr1gkQiQXx8PPLy8rBq1Sr0798fhw8f1k85AIClS5di48aN6N27N/71r3/h1q1bUCqVmDJlCg4ePIi1a9fqj7106RJCQ0NRVFSEAQMG4LnnnkNRURFOnz6NL7/8EnPmzIGbm5v+59K7d28cP34cPXv2xLhx41BQUID169cjIiICa9asweDBg236cyEiAgAIRERWIJfLBQDCtm3bKj22efPmAgDh4sWL+m1BQUECAKF///7CrVu3jB4THh4uABDatGkj3LhxQ7/9xo0bQps2bQSRSCQcPHhQv33Hjh0CAGHatGkG5wkKChKCgoJMxnXnzh1BrVYbbT927Jjg7e0t9O3b12B7edcoz7Rp0wQAwsqVKw22FxYWCu3atRMACN9//71+OwABgDB+/HhBq9Xqt3/99dcCAGHs2LEG57lw4YJQUlJisK20tFR46aWXBADC7t279dsXLFggABDmz59vFOfVq1cNvo+LixMACEuXLjXYnpubK8hkMqFp06bC7du3zfoZEBFVB6cKEJFVXL58GQAgk8kqPVZ3TE5OjtG+Tz/9FJ6enuU+durUqZBIJPrvJRIJ3n//fQiCgO+//97SsA14eHgYTXEAgEcffRQRERHYtWuXyVvulkpLS0NSUhKSkpLwyiuvoE2bNsjMzETnzp0N5r4CgJeXF2bPno06df75cz1y5Ei4ubkZTSto0aIFxGKxwTaRSIQJEyYAALZv324Ui6mfdaNGjfT/n5+fj1WrVqFPnz4YPXq0wXF+fn548803ceXKFZPnJiKyNk4VICKnUa9ePXTo0KHCY8LCwsrdZo15qL///js+/fRT7N69G5cvXzZKVPPz8xEQEFCta6xdu1Z/275+/fpo1aoVxowZg8mTJxtVFGjdujW8vb0NtummUNy4ccNg+927d7Fo0SL89NNPOHnyJG7evGkwV/XSpUv6/3/mmWcwZcoUTJgwAb/++isiIyMRHh6OkJAQg3MePHgQWq0WxcXFJuvVnj59GgBw8uRJDBw40OKfBRGRJZi4EpFVNGvWDCdPnoRKpUKbNm0qPFalUgGAUQLo5+dXaZMBU/Nndds0Go0lIRvZu3cv+vTpAwDo168fHn74YXh7e0MkEuHnn3/GH3/8geLi4mpdAwBWrlxpNLJanvIqL7i5uUGr1Rpsi4mJwcaNG9G6dWs899xz8PPzg7u7O27cuIHk5GSD2IODg/Hbb78hKSkJv/zyC1avXg0AaNu2LT788EPExsYCuD+/FQD27NmDPXv2lBsna9ASkT0wcSUiq+jRoweUSiV+/fVX9O3bt9zjTp48iUuXLiEwMNBoWoE5nbFyc3PRokULo20ADKYQVMWMGTNQXFyMjIwM9OrVy2Dfb7/9hj/++KNa57elgwcPYuPGjejfvz82b95sMGXgt99+Q3JystFj2rdvj7S0NNy7dw+HDx/Gli1bsGDBAjz33HNo3rw5evbsqU+c33jjDaNKEERE9sY5rkRkFSNGjECdOnWwdOlSXLlypdzjZsyYAQB46aWXqnSdjIyMcrd17Nix0seLxWKjkUqds2fP6rt8lXXr1i0cOXKkCtHaz9mzZwEAAwYMMJrnaupnVpa7uzu6deuG6dOnY8GCBRAEAZs2bQIAdOnSBSKRCPv27bNN4EREFmDiSkRW0aZNGyQkJODq1at45plnjBZelZaW4qOPPsKPP/6IVq1aYfLkyVW6zkcffWQwJUCj0eDjjz+GSCTCyJEjK318o0aNkJ+fb7L1bFBQEK5fv47jx4/rt2m1WkyePLnCZNwZBAUFAYBRXdXjx49j1qxZRscfPnwYBQUFRtt1o9f16tUDcH8KyNChQ7F371589tlnRvVdAWD//v24detWtZ8DEVFlOFWAiKzm008/hUajwbfffouHH34YAwYMQKtWrVBQUICtW7fi9OnTePjhh/HLL79UuWtW69at0b59e4M6rmq1Gq+//jo6d+5c6eP79OmDQ4cO4emnn0ZYWBjq1q2L3r17o3fv3nj11VexdetW9OrVC0OHDkW9evWgVCqRnZ0NuVxusui/swgNDUVoaChWr16NnJwcdOvWDRcvXsSGDRswYMAApKWlGRyfmpqKJUuWoHfv3mjVqhV8fX2RmZmJX375BY0aNcKLL76oP/bLL7/EqVOn8NZbbyE1NRXdu3dHgwYNoFKpcOjQIZw+fRo5OTmoX7++vZ82EdUyTFyJyGrc3NzwzTffYNiwYfjqq6+we/durFu3Dl5eXnjkkUcwbtw4vPLKKxWWu6rM6tWrMW3aNKxcuRK5ublo2bIlFixYgIkTJ5r1+KlTp+L69evYtGkTMjIyoNVqMW3aNPTu3RsDBw5EWloaZs6ciR9//BH169dHnz59sG7dOqNmCc5GLBZj06ZNeOedd5Ceno6DBw/i4Ycfxpw5c/D0008bJa7Dhg3DnTt3sGfPHhw4cADFxcWQSqV45ZVX8OabbxrMI27UqBH27t2LRYsWYdWqVVi+fDlKS0vRrFkzPP7445g6dSqaNGli76dMRLWQSDB134eIiIiIyMlwjisRERERuQQmrkRERETkEpi4EhEREZFLYOJKRERERC6BiSsRERERuQQmrkRERETkEpi4EhEREZFLYOJKRERERC6BiSsRERERuQQmrkRERETkEpi4EhEREZFLYOJKRERERC6BiSsRERERuQQmrkRERETkEpi4EhEREZFLYOJKRERERC6BiSsRERERuQQmrkRERETkEtwsfYBWq8W9e/dsEQsRERER1SLu7u4Qi8VmH2924ioIAi5fvowbN25UJS4iIiIiIiMNGjRAs2bNIBKJKj3W7MRVl7T6+fmhfv36Zp2ciIiIiMgUQRBw69Yt5OXlAQACAgIqfYxZiatWq9UnrY0bN65elEREREREADw9PQEAeXl58PPzq3TagFmLs3RzWuvXr1/N8IiIiIiI/qHLL81ZQ2VRVQFODyAiIiIia7Ikv2Q5LCIiIiJyCUxcnUBSUlKVR7Plcjnkcrn++/Pnz0MkEuG7776zSmzfffcdRCIRzp8/b5XzuZpRo0YhODjY0WGQhZRKJUQiEZRKpX6btV/L4OBgjBo1ymrncyXW/jtD1iMSiZCUlOToMIhsptYnrrrETPdVr149tG7dGhMnTkRubq7VrnPr1i0kJSUZvJHWVnv37kVSUpJLllbj62g7D/5bLPv1zjvvODo8u5g5cyZ+/vlnR4dRJb/88gsTJjv48ssvIRKJ0LVrV0eHQi7or7/+QkxMDIKCglCvXj0EBgbiqaeewsKFC/XHBAcHQyQS4dVXXzV6vG5QIC0tTb/twb/dbm5uCAwMxKhRo5CdnW3152BxAwKTSm4DpXetcqoqq1MXcPOs8sM//PBDtGzZEnfu3MHu3buRkpKCX375BceOHbPKorRbt25h+vTpAGAwQgoA77//vtO+McfHx+P555+Hh4eH1c65d+9eTJ8+HaNGjUKDBg2sdl5bWLp0KUpLS/XfV/Q6OoV7NwHtHcfGIK4HuHtX+eG6f4tltW/fvrpRWd2pU6dQp451P/vPnDkTMTExGDx4sFXPa21BQUG4ffs23N3d9dt++eUXfPHFF0xebWz58uUIDg7GgQMHcObMGTz00EMG+2/fvg03N+u8tVPNsnfvXkRERKBFixZ4+eWX0axZM6hUKvz2229ITk42SlSXLl2KKVOmoHnz5madv2we9dtvv+G7777D7t27cezYMdSrV89qz6P6v90ltwH1euDedSuEUw3uDQFpVJWT16effhqdO3cGAIwePRqNGzfGvHnzsH79egwbNqzKYZWWluLu3YqTejc3N6f9QyMWiy3qaGFtup+fNX/pLVH2jdnp3bsJnPkKuHvVsXHUbQw8NKbKyWvZf4vOzJof5qqiqKgIXl5eDrm27u4U2de5c+ewd+9eKBQKjB07FsuXL8e0adMMjjHndXHk7w45zowZMyCRSHDw4EGjQSNdHVWdRx99FKdOncInn3yCBQsWmHX+B/OoJk2aYPbs2diwYQOGDh1qlecAWGOqQOnd+0lrHc/7yaMjvup43o/BiqO+ffr0AXD/DwUAzJkzBz169EDjxo3h6emJJ554wmCoXEckEmHixIlYvnw5Hn30UXh4eGDx4sVo2rQpAGD69On64XTdyISpOa7Lli1Dnz594OfnBw8PD7Rr1w4pKSkWP49ly5ZBJBLh6NGjRvtmzpwJsVhc4VC+qTmuwcHBGDhwIHbv3o3Q0FDUq1cPISEh+OGHHyqNJykpCW+++SYAoGXLlvqfhe78pn5+6enpACx/DX7++We0b98eHh4eePTRR/Xn0SksLERiYiKCg4Ph4eEBPz8/PPXUUzhy5Ij+mLLzIs+fP1/h6+hw2jv3k1ax5/3k0RFfYs/7Mdho1Le8n7el800FQUBwcDCioqKM9t25cwcSiQRjx46t8BwPXlP3b2XPnj14/fXX0bRpU3h5eeHZZ5/FlStXKo1JJBKhqKgI33//vf53S3d+3d+IzMxMxMXFoWHDhujVqxcA4M8//8SoUaMQEhKCevXqoVmzZnjppZdw9arhBxjdOc6cOaO/2yGRSPDiiy/i1q1bBsdu27YNvXr1QoMGDeDt7Y02bdrg3Xff1e9/cI7rqFGj8MUXX+ifh+6LrGv58uVo2LAhBgwYgJiYGCxfvtzomAf/jVT0u6P7W65UKtG5c2d4enqiQ4cO+qlQCoUCHTp0QL169fDEE08YvY+Y+7tnzt/a06dPY8iQIWjWrBnq1asHqVSK559/HhqNxko/PTp79iweffRRk3c6/fz8DL4PDg7GiBEjsHTpUly6dKlK1wsLC9Nf15qsN8wnrge4OfATXOltq55O94PWNVxITk7GoEGD8MILL+Du3bv46aefEBsbi02bNmHAgAEGj/3vf/+L1atXY+LEiWjSpAkef/xxpKSk4JVXXsGzzz6L6OhoAMBjjz1W7vVTUlLw6KOPYtCgQXBzc8PGjRsxfvx4lJaWYsKECWY/j5iYGEyYMAHLly9Hx44dDfYtX74ccrkcgYGBZp9P58yZM4iJicG///1vjBw5Et9++y1GjRqFJ554Ao8++mi5j4uOjsbff/+NlStX4vPPP0eTJk0AQJ8QAsY/P13iaMlrsHv3bigUCowfPx4+Pj5YsGABhgwZgosXL+pf03HjxiEtLQ0TJ05Eu3btcPXqVezevRsnTpxAp06djGJv2rSpxa+jQ4jrV+tWfbVpq/dvUaPRID8/32Cb7vfEWkQiEYYPH45PP/0U165dQ6NGjfT7Nm7ciIKCAgwfPrxK53711VfRsGFDTJs2DefPn8f8+fMxceJErFq1qsLHpaamYvTo0QgNDcWYMWMAAK1atTI4JjY2Fg8//DBmzpwJQRAA3E8ys7Ky8OKLL6JZs2Y4fvw4vvrqKxw/fhy//fabUQI5dOhQtGzZErNmzcKRI0fw9ddfw8/PD7NnzwYAHD9+HAMHDsRjjz2GDz/8EB4eHjhz5gz27NlTbuxjx47FpUuXsG3bNqSmplr8M3NmWq0WGRkZyMnJQUBAAMLCwhx2F2r58uWIjo5G3bp1MWzYMKSkpODgwYPo0qVLpY819bsD3P9bHhcXh7Fjx2L48OGYM2cOnnnmGSxevBjvvvsuxo8fDwCYNWsWhg4dajBFxtzfvcr+1t69exf9+/dHcXExXn31VTRr1gzZ2dnYtGkTbty4AYlEYoOfpn1oNBoUFhZCKpUa7VOr1fDx8bHb8wsKCsK+fftw7Ngxs6Zfvffee/jhhx8sGnUtSzcg1bBhQ4sfWxHnvD/tALo3yzt37mDPnj348MMP4enpiYEDBwIA/v77b313BwCYOHEiOnXqhHnz5hklTadOncJff/2Fdu3a6be1adMGr7zyCh577DGz3hB37txpdL3IyEjMmzfPosTVx8cHgwcPxsqVK/Hpp5/q/+AcPXoUmZmZ+tFPS506dQq7du3Sf6IaOnQoZDIZli1bhjlz5pT7uMceewydOnXCypUrMXjwYJOrvE39/ADLXoMTJ04gMzNT/8YfERGBxx9/HCtXrsTEiRMBAJs3b8bLL7+MuXPn6h/31ltvlRu7l5cXYmJiLHodyXJ9+/Y12lb2jdZaRowYgRkzZmD16tUYN26cfvuPP/6I4OBg/aiUpRo3boytW7fq37RLS0uxYMECaDSaCt+ghg8fjnHjxiEkJKTc363HH38cK1asMNg2fvx4vPHGGwbbunXrhmHDhmH37t36f6M6HTt2xDfffKP//urVq/jmm2/0ieu2bdtw9+5dbNmyxewPDN27d0fr1q2xbdu2GvXvQqFQICEhAWq1Wr9NKpUiOTlZ/8HVXg4fPoyTJ0/qF9H06tULUqkUy5cvNytxNfW7A9z/e7t37150794dANCuXTv0798fL7/8Mk6ePIkWLVoAuJ98jB07Frt27dLP7zf3d6+yv7WZmZk4d+4c1qxZg5iYGP32Dz74wJwfjdPSaDSIjIxEXl4elEolZDKZfp9KpYJcLoefnx/S09PtkrxOnjwZTz/9NP7v//4PoaGhCAsLw5NPPomIiAiT0+JCQkIQHx+vn+taWTvWsnnU/v37MX36dHh4eOjzKGup9VUFdPr27YumTZtCJpPh+eefh7e3N9atW6cfjSybMF2/fh0ajQZhYWEGtzp0wsPDjZIuS5W9nu6XITw8HFlZWRbfOhkxYgQuXbqEHTt26LctX74cnp6eGDJkSJXia9euncEbYtOmTdGmTRtkZWVV6Xxllffzs+Q16Nu3r8Fo1WOPPQZfX1+D+Bo0aID9+/dX+TYI2cYXX3yBbdu2GXzZQuvWrdG1a1eD263Xrl3Dli1b8MILL1T5VveYMWMMHhsWFgatVosLFy5UO+ayCbZO2X8Xd+7cQX5+Prp16wYAJv9tPHiOsLAwXL16FQUFBQCgv424fv16g4WJtY1CoUBMTIxB0goA2dnZiImJgUKhsGs8y5cvh7+/PyIiIgDcv2vw3HPP4aeffoJWq6308aZ+d4D7f8t1SSsAfbWCPn366JPWstvL/g0193evsr+1uqTtP//5j9G0FVdWWFiIvLw8ZGVlQS6XQ6VSAfgnac3KykJeXh4KCwvtEs9TTz2Fffv2YdCgQfjjjz/w6aefon///ggMDMSGDRtMPub9999HSUkJPvnkk0rPXzaPiomJgZeXF/6/vXuNaer84wD+hf4hBW/ILALSOcDppiLLHGhCmFVEdEyWIQwCK2aLbkqGgPESterQeUNs2CaICLukMHFgl5QNFBAYBLJsr0YW3swBCWOwhslUAkgt/b9gp2mhl3PaQlv8fZK+acvpQ89zTr/nOc9FoVAYbG22BgXX/zA/lk1NTejs7ERXVxdiYmK0r3///ffYuHEj+Hw+vL29tbeNDYXIqSOiLdHW1oatW7di3rx58PLygkAg0PYx4xpco6Oj4efnp/2BnpiYwM2bN/HWW29hwYIFFpVP94TGWLx4MYaGJgfpqdVqDAwM6D3MDVJjGPv+uOwDc+UDgNzcXPz2228QCoUIDw/Hxx9/bJPgTawTHh6OrVu36j1mSlpaGtra2rShsrKyEiqVCmKx2OJtTq17zG0ypu49fPhQ77h48OAB620bOjYePHiAzMxMLF26FB4eHhAIBNr3sTk2ppYvKSkJERER2LNnD5YuXYrk5GR8++23z1SIVavVyMzMNNjSzzyXlZXFKjDaqjwVFRXYvHkzuru7cf/+fdy/fx8bNmzA33//jXv37pndhrHz6tT6wIRI3dZB3ed1z6Fs6565c21gYCAOHjyIkpISLFmyBDExMSgoKHD6/q0BAQFobm5GUFCQNry2t7drQ2tQUBCam5ttHuxMCQsLg1wux9DQEH7++WccO3YMjx8/RkJCAjo7O6e9n2l1LS4uRn9/v8ltMzmqqqoKb7zxBgYHB2dkECsF1/8wP5YikQgvv/yy3jQ3ra2tiIuLA5/PR2FhIWpqalBfX4+UlBSDJzbdq1BL/PHHH4iKisLg4CCkUil++OEH1NfXIzs7GwA4/4DweDykpKTg9u3bGBsbQ1NTE/766y+rbukZ6+PFfB+9vb3w8/PTe7S3t7PatqHvj+s+MFc+YLJ7Q1dXFz7//HP4+/vj8uXLWLNmDWpra1mVkzgOSwNEcnIy3NzctBd1ZWVleO2117Bq1SqLy2Ku7mVmZuodF1xuORs6Nt555x3cuHED+/btg1wuR11dnXYgoqFzhbnyeXh4oKWlBQ0NDRCLxejo6EBSUhKio6NnLajZW2tr67SWVl0ajQa9vb1obW2dlfI0Njaiv78fFRUVePHFF7UPZqS2oUFaUxn7XTJWH9ieQ9nUPTbn2itXrqCjowPHjx/H6OgoDhw4gDVr1pjcD85AKBTqhdeIiAi90Dr1AmG2uLu7IywsDOfPn8e1a9egUqlQWVlp8L0nTpzA06dPtd2JjGFy1K5du6BQKLB27VqkpKRgeHjYpmWnPq4s3L59G3w+H3fv3tW7evjyyy9Zb4PLbcfq6mo8efIECoVC72pY91Y/V2lpabhy5Qqqq6tRW1sLgUCg16Jsa76+vtNu8YaGhgLg9l0wbLEPDPHz80N6ejrS09OhVCrx6quv4ty5c9ixY4fB99NIaftavHjxtIUrxsfHzbYEGOPt7Y3Y2FiUl5cjNTUVbW1tyM/Pt76gJhw5ckTvolF34ALX+jU0NIR79+4hJydHrz/g77//blUZXV1dERUVhaioKEilUpw/fx4nTpxAU1OT0RbwuXRssK1PltY7rsrLy+Hj46OduUGXXC7Hd999h6KiIqsbTbjgWvfYnGtDQkIQEhICiUSC9vZ2REREoKioCJ988smM/z8zSSgUQiaTISIiQvucTCazW2idipnCylh9Dg4Oxrvvvovr16+zXviCx+PhwoUL2Lx5M65evWrTueopuLLA4/Hg4uKi19rQ09PDaYUbZhEDNqtFMVe6ule2Dx8+tCqkrVu3DuvWrUNJSQl++ukn7N69e0bnjuXz+UZ/4Jj5A7msnGWLfaBLrVZjeHhYr0O8j48P/P398eTJE6N/x2U/EtsLDg5GS0uL3nPFxcVWtQSKxWLEx8fj8OHD4PF4SE5OtraYJq1evdpoH/h58+ZxPi6A6YPXrAnfU2dZAIBXXnkFAEweG7rHtaMvLGKOuUEoXN9njdHRUcjlciQmJuoNXGL4+/vj5s2bUCgUSEpKmvHyMNjWPTbn2kePHsHT01PvNykkJASurq4m65yz6O3tndb9SCwWz3qLa1NTE0Qi0bSLzJqaGgAweadJIpFAJpMhNzeX9eeJRCKEh4cjPz8fWVlZNpv7mYIrC7GxsZBKpdi+fTtSUlKgVCpRUFCAFStWoKOjg9U2PDw8sHr1aty6dQsrV66Et7c31q5da3BKim3btsHd3R07d+7Ehx9+iOHhYdy4cQM+Pj5WXeGnpaXh0KFDAGDXkb/r168HMHn7gblVu3PnTpMTYttiH+hipidJSEhAaGgo5s+fj4aGBvzyyy96I1+n4rIfie3t2bMH+/btw65duxAdHY1ff/0Vd+/etWq6rNjYWDz33HOorKzEjh07ps1nOJvWr1+PhoYGSKVS+Pv7IzAw0GQLx8KFC/H6668jNzcXKpUKy5YtQ11dnXb+aUucOXMGLS0tiI2NxfLly6FUKlFYWIiAgACTMy0wx/WBAwcQExMzKxcBMyUyMhIBAQHo6+sz2BXJxcUFAQEB02ZsmAkKhQKPHz9GXFycwdc3btwIgUCA8vLyWQ2ubOsem3NtY2MjPvroIyQmJmLlypV4+vQpZDIZeDyexQOIHYXuQKygoCDIZDKIxWJtn9fZDK8ZGRkYGRnB22+/jZdeegnj4+Nob2/HrVu38MILL+C9994z+rdMq+vXX3/N6TMPHz6MxMREfPXVV0YHCHJlu+Bqz2UmZ/izt2zZgtLSUly8eBFZWVkIDAzEpUuX0NPTwyk0lZSUICMjA9nZ2RgfH8fp06cNBp5Vq1ahqqoKEokEhw4dgq+vL/bv3w+BQID333/f4v8jNTUVR48eRXBwMMLDwy3ejrXCwsJw9uxZFBUV4c6dO5iYmEB3d7fJ4GqrfcDw9PREeno66urqIJfLMTExgRUrVqCwsBD79+83+bds96PdqO04KneGP3vv3r3o7u5GaWkp7ty5g8jISNTX1yMqKsribbq7uyMpKQmFhYVWDcqyBalUig8++AASiQSjo6PYvXu32Vtz33zzDTIyMlBQUACNRoNt27ahtraW9TKNU8XFxaGnpwdffPEFBgcHsWTJEmzatAk5OTkmp+yJj49HRkYGKioqUFZWBo1G47TBlcfj4dNPP0VCQgJcXFz0wivTWpWfnz8r87mWl5eDz+cjOjra4Ouurq7a7i5TJ/6faWzqHptzbWhoKGJiYlBdXY2+vj54enoiNDQUtbW12lkKnNGff/45bSAW0+eVeV4kEuHHH3+clQFaeXl5qKysRE1NDYqLizE+Po7nn38e6enpkEgkZu+USCQSlJWVcbrDFR8fj+DgYOTl5WHv3r02OWZcNCwmSBwbG0N3dzcCAwOnN/XOkSVfnwWDg4Pw8/PDqVOncPLkSXsXh9jaHFny1R6ys7NRWlqKgYEBbXcQQgzN4yoUCpGfnz/r87gS5+No87g6MpM5cwrrgyswGV5tuNyqRVzdKbSakZeXhyNHjqCrq8vgxP9kDlAN2/fuBzC5ip4ThdaxsTEIhUK8+eabVg/2I3OPI62cRZyPI62c5ci4BFfbdBX4nwcACo2OqrGxEZ2dnTh37pzR1arIHOE236lCoz0plUo0NDSgqqoK//zzDzIzM+1dJOKAeDyedqUoQrhatGiR0WA6m/O3ziU0OOsZcObMGe3UIsxygYQ86zo7O5GamgofHx989tln2pHzhBBCHBcF12dAc3OzvYtAiMMRiUQGR4wTQghxXLRyFiGEEEIIcQoUXAkhhBBCiFOg4EoIIYQQQpwCp+BK/cEIIYQQQogtccmXrIKrm5sbAGBkxI4r8hBCCCGEkDmHyZdM3jSF1awCPB4PXl5eUCqVACaXcGOWvSOEEEIIIYQrjUaDkZERKJVKeHl5sVrcg9XKWczGBwYG8O+//1pbTkIIIYQQQgAAXl5e8PX1ZdUoyjq4MtRqNVQqlcWFI4QQQgghBJjsHsBlGWXOwZUQQgghhBB7oOmwCCGEEEKIU6DgSgghhBBCnAIFV0IIIYQQ4hQouBJCCCGEEKdAwZUQQgghhDgFCq6EEEIIIcQpUHAlhBBCCCFO4f+gmo8E3hpymgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_air_snr(planet_params, stellar_params, time, airmass, snr)" ] }, { "cell_type": "markdown", "id": "9428b01e", "metadata": {}, "source": [ "Now we call an instance of HECATE, giving the parameters and data, where the simulation of the transit with SOAP will take place." ] }, { "cell_type": "code", "execution_count": 5, "id": "a99660da", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:25.116118Z", "iopub.status.busy": "2026-04-04T11:39:25.115926Z", "iopub.status.idle": "2026-04-04T11:39:43.165153Z", "shell.execute_reply": "2026-04-04T11:39:43.164230Z" } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hecate = HECATE(planet_params, stellar_params, time, CCFs, spectra=None, plot_soap=\"SOAP\")" ] }, { "cell_type": "markdown", "id": "b12210c3", "metadata": {}, "source": [ "To extract the local CCF, we just need to select the model to fit, the CCF type and the options for plotting." ] }, { "cell_type": "code", "execution_count": 6, "id": "d3066ee8", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:43.167242Z", "iopub.status.busy": "2026-04-04T11:39:43.167035Z", "iopub.status.idle": "2026-04-04T11:39:43.170505Z", "shell.execute_reply": "2026-04-04T11:39:43.169692Z" } }, "outputs": [], "source": [ "plot = {\"fits_initial_CCF\":False, # plot the initial fits to the CCFs\n", " \"sys_vel_ccf\":True, # plot the systemic velocity of the star in the CCFs\n", " \"avg_out_of_transit_CCF\":False, # plot the average out-of-transit CCF\n", " \"local_CCFs\":True, # plot the local CCFs\n", " \"photometrical_rescale\":False # if the local CCFs are rescaled by the photometric transit model\n", " }\n", "\n", "ccf_type = \"white light\"\n", "model_fit = \"modified Gaussian\"" ] }, { "cell_type": "code", "execution_count": 7, "id": "93c21737", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:43.172240Z", "iopub.status.busy": "2026-04-04T11:39:43.172066Z", "iopub.status.idle": "2026-04-04T11:39:45.379543Z", "shell.execute_reply": "2026-04-04T11:39:45.378478Z" } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "local_CCFs, CCFs_flux_corr, CCFs_sub_all, avg_out_of_transit_CCF = hecate.extract_local_CCF(model_fit, plot, save=None)" ] }, { "cell_type": "markdown", "id": "94339012", "metadata": {}, "source": [ "Tah-dah! We have the local white-light CCFs.\n", "\n", "Now we can use HECATE to fit a profile to them, and extract the local parameters (central RV, line-center intensity, line-width measure) in function of $\\mu$ or $\\phi$." ] }, { "cell_type": "code", "execution_count": 8, "id": "61282d62", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:45.381441Z", "iopub.status.busy": "2026-04-04T11:39:45.381238Z", "iopub.status.idle": "2026-04-04T11:39:45.599250Z", "shell.execute_reply": "2026-04-04T11:39:45.598125Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "##################################################\n", "Fitting modified Gaussian model to master CCF profile\n", "--------------------------------------------------\n", "Fit parameters:\n", "y0 = 0.999702 ± 0.000005\n", "x0 = -0.000370 ± 0.000049\n", "sigma = 3.404458 ± 0.000090\n", "a = 0.629534 ± 0.000011\n", "c = 1.823698 ± 0.000085\n", "R^2: 0.9983\n", "--------------------------------------------------\n", "Profile parameters:\n", "Central RV [km/s]: -0.000370 ± 0.000049\n", "Continuum: 0.999702 ± 0.000005\n", "Line-center intensity [%]: 37.027842 ± 0.001098\n", "Line-width measure [km/s]: 3.404458 ± 0.000090\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "master_results = hecate.get_profile_parameters(profiles=avg_out_of_transit_CCF, \n", " data_type=\"CCF\", \n", " observation_type=\"master\", \n", " model=\"modified Gaussian\", \n", " print_output=True, \n", " plot_fit=True)" ] }, { "cell_type": "code", "execution_count": 9, "id": "139a22bd", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:45.601110Z", "iopub.status.busy": "2026-04-04T11:39:45.600917Z", "iopub.status.idle": "2026-04-04T11:39:45.700432Z", "shell.execute_reply": "2026-04-04T11:39:45.699477Z" } }, "outputs": [], "source": [ "local_results = hecate.get_profile_parameters(profiles=local_CCFs, \n", " data_type=\"CCF\", \n", " observation_type=\"local\", \n", " model=\"modified Gaussian\", \n", " print_output=False, \n", " plot_fit=False)" ] }, { "cell_type": "markdown", "id": "297c45fe", "metadata": {}, "source": [ "Having all the fits, we select the data based on quality -- $R^2 > 0.95$ and $\\mu \\geq 0.3$." ] }, { "cell_type": "code", "execution_count": 10, "id": "1c9cef81", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:45.702889Z", "iopub.status.busy": "2026-04-04T11:39:45.702671Z", "iopub.status.idle": "2026-04-04T11:39:46.408214Z", "shell.execute_reply": "2026-04-04T11:39:46.407180Z" } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "indices_final = np.array(list(set(np.where(local_results['R2'] >= 0.95)[0]).intersection(set(np.where(hecate.mu_in >= 0.3)[0]))))\n", "\n", "local_params = [local_results['central_rv'], local_results['width'], local_results['intensity']]\n", "master_params = [master_results['central_rv'], master_results['width'], master_results['intensity']]\n", "\n", "hecate.plot_local_params(indices_final, local_params, master_params, suptitle=r\"Local white light CCF parameters\")" ] }, { "cell_type": "markdown", "id": "2627862a", "metadata": {}, "source": [ "We can fit a linear model via nested sampling by running the same function." ] }, { "cell_type": "code", "execution_count": 11, "id": "63d628d3", "metadata": { "execution": { "iopub.execute_input": "2026-04-04T11:39:46.410200Z", "iopub.status.busy": "2026-04-04T11:39:46.409995Z", "iopub.status.idle": "2026-04-04T11:43:58.312441Z", "shell.execute_reply": "2026-04-04T11:43:58.311497Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "==================================================\n", "Central Radial Velocity [km/s]\n", "----------------------------------------\n", "Orbital phases\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "262it [00:00, 2616.48it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 350 | eff(%): 30.824 | loglstar: -inf < -20416.607 < inf | logz: -20424.038 +/- 0.122 | dlogz: 20781.063 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "524it [00:00, 2436.75it/s, batch: 0 | bound: 0 | nc: 3 | ncall: 904 | eff(%): 37.322 | loglstar: -inf < -669.812 < inf | logz: -677.224 +/- 0.118 | dlogz: 678.206 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "769it [00:00, 2240.96it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 1821 | eff(%): 33.132 | loglstar: -inf < -69.776 < inf | logz: -76.441 +/- 0.106 | dlogz: 75.689 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "995it [00:00, 1921.20it/s, batch: 0 | bound: 0 | nc: 8 | ncall: 3289 | eff(%): 26.260 | loglstar: -inf < -41.964 < inf | logz: -46.806 +/- 0.089 | dlogz: 60.494 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1193it [00:00, 1699.82it/s, batch: 0 | bound: 0 | nc: 7 | ncall: 5472 | eff(%): 19.977 | loglstar: -inf < -37.892 < inf | logz: -42.331 +/- 0.084 | dlogz: 55.604 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1369it [00:00, 1555.58it/s, batch: 0 | bound: 0 | nc: 4 | ncall: 7853 | eff(%): 16.389 | loglstar: -inf < -35.007 < inf | logz: -39.716 +/- 0.085 | dlogz: 54.758 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1529it [00:00, 1232.81it/s, batch: 0 | bound: 0 | nc: 10 | ncall: 10928 | eff(%): 13.379 | loglstar: -inf < -32.637 < inf | logz: -37.531 +/- 0.087 | dlogz: 52.251 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1663it [00:01, 1019.39it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 15120 | eff(%): 10.647 | loglstar: -inf < -30.859 < inf | logz: -35.956 +/- 0.089 | dlogz: 50.407 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1775it [00:01, 860.58it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 17928 | eff(%): 9.632 | loglstar: -inf < -29.552 < inf | logz: -34.739 +/- 0.090 | dlogz: 48.965 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1870it [00:01, 816.25it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 20113 | eff(%): 9.072 | loglstar: -inf < -28.455 < inf | logz: -33.795 +/- 0.091 | dlogz: 47.831 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1957it [00:01, 755.20it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 22114 | eff(%): 8.654 | loglstar: -inf < -27.633 < inf | logz: -32.994 +/- 0.092 | dlogz: 46.855 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2036it [00:01, 731.28it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 23931 | eff(%): 8.334 | loglstar: -inf < -26.634 < inf | logz: -32.258 +/- 0.094 | dlogz: 45.962 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2111it [00:01, 609.45it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 25656 | eff(%): 8.071 | loglstar: -inf < -25.740 < inf | logz: -31.549 +/- 0.095 | dlogz: 45.103 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2175it [00:02, 595.28it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 27128 | eff(%): 7.872 | loglstar: -inf < -25.032 < inf | logz: -30.944 +/- 0.097 | dlogz: 44.370 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2247it [00:02, 621.75it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 28784 | eff(%): 7.673 | loglstar: -inf < -24.118 < inf | logz: -30.242 +/- 0.098 | dlogz: 56.044 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2318it [00:02, 641.79it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 30417 | eff(%): 7.497 | loglstar: -inf < -23.397 < inf | logz: -29.532 +/- 0.100 | dlogz: 55.192 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2390it [00:02, 659.70it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 32073 | eff(%): 7.337 | loglstar: -inf < -22.563 < inf | logz: -28.882 +/- 0.101 | dlogz: 54.398 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2462it [00:02, 673.17it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 33729 | eff(%): 7.193 | loglstar: -inf < -21.827 < inf | logz: -28.217 +/- 0.102 | dlogz: 53.588 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2533it [00:02, 681.11it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 35362 | eff(%): 7.063 | loglstar: -inf < -21.155 < inf | logz: -27.619 +/- 0.103 | dlogz: 52.848 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2603it [00:02, 596.61it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 36972 | eff(%): 6.947 | loglstar: -inf < -20.328 < inf | logz: -27.028 +/- 0.104 | dlogz: 52.117 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2674it [00:02, 625.44it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 38605 | eff(%): 6.838 | loglstar: -inf < -19.554 < inf | logz: -26.383 +/- 0.106 | dlogz: 51.330 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2744it [00:02, 643.09it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 40215 | eff(%): 6.740 | loglstar: -inf < -18.741 < inf | logz: -25.762 +/- 0.107 | dlogz: 51.146 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2813it [00:03, 654.89it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 41802 | eff(%): 6.650 | loglstar: -inf < -18.044 < inf | logz: -25.136 +/- 0.109 | dlogz: 50.381 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2880it [00:03, 654.10it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 43343 | eff(%): 6.569 | loglstar: -inf < -17.181 < inf | logz: -24.530 +/- 0.110 | dlogz: 49.643 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2951it [00:03, 669.17it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 44976 | eff(%): 6.489 | loglstar: -inf < -16.592 < inf | logz: -23.923 +/- 0.111 | dlogz: 48.893 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3019it [00:03, 670.64it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 46540 | eff(%): 6.418 | loglstar: -inf < -15.836 < inf | logz: -23.347 +/- 0.112 | dlogz: 48.182 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3087it [00:03, 591.21it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 48104 | eff(%): 6.351 | loglstar: -inf < -14.896 < inf | logz: -22.713 +/- 0.114 | dlogz: 47.413 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3160it [00:03, 626.66it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 49783 | eff(%): 6.284 | loglstar: -inf < -14.008 < inf | logz: -21.986 +/- 0.115 | dlogz: 46.540 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3232it [00:03, 650.41it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 51439 | eff(%): 6.223 | loglstar: -inf < -12.994 < inf | logz: -21.196 +/- 0.117 | dlogz: 45.607 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3302it [00:03, 664.37it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 53049 | eff(%): 6.166 | loglstar: -inf < -11.779 < inf | logz: -20.328 +/- 0.120 | dlogz: 44.602 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3373it [00:03, 675.78it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 54682 | eff(%): 6.113 | loglstar: -inf < -10.732 < inf | logz: -19.374 +/- 0.122 | dlogz: 43.506 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3442it [00:04, 659.06it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 56269 | eff(%): 6.063 | loglstar: -inf < -9.778 < inf | logz: -18.504 +/- 0.123 | dlogz: 42.497 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3509it [00:04, 606.77it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 57810 | eff(%): 6.018 | loglstar: -inf < -8.484 < inf | logz: -17.519 +/- 0.125 | dlogz: 41.430 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3571it [00:04, 550.39it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 59236 | eff(%): 5.978 | loglstar: -inf < -7.563 < inf | logz: -16.597 +/- 0.126 | dlogz: 40.382 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3628it [00:04, 550.06it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 60547 | eff(%): 5.943 | loglstar: -inf < -6.687 < inf | logz: -15.820 +/- 0.127 | dlogz: 41.947 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3685it [00:04, 527.01it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 61858 | eff(%): 5.909 | loglstar: -inf < -5.849 < inf | logz: -15.060 +/- 0.127 | dlogz: 41.073 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3740it [00:04, 531.62it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 63123 | eff(%): 5.878 | loglstar: -inf < -4.881 < inf | logz: -14.303 +/- 0.128 | dlogz: 40.207 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3805it [00:04, 562.15it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 64618 | eff(%): 5.843 | loglstar: -inf < -3.751 < inf | logz: -13.365 +/- 0.130 | dlogz: 41.535 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3876it [00:04, 602.61it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 66251 | eff(%): 5.807 | loglstar: -inf < -2.448 < inf | logz: -12.315 +/- 0.131 | dlogz: 40.345 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3937it [00:04, 534.75it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 67654 | eff(%): 5.777 | loglstar: -inf < -1.477 < inf | logz: -11.365 +/- 0.132 | dlogz: 39.271 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3999it [00:05, 556.76it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 69080 | eff(%): 5.747 | loglstar: -inf < -0.545 < inf | logz: -10.491 +/- 0.133 | dlogz: 38.272 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4058it [00:05, 564.16it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 70437 | eff(%): 5.721 | loglstar: -inf < 0.317 < inf | logz: -9.727 +/- 0.133 | dlogz: 42.574 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4129it [00:05, 601.99it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 72070 | eff(%): 5.690 | loglstar: -inf < 1.363 < inf | logz: -8.795 +/- 0.134 | dlogz: 41.500 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4191it [00:05, 543.26it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 73496 | eff(%): 5.664 | loglstar: -inf < 2.252 < inf | logz: -7.996 +/- 0.135 | dlogz: 40.577 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4261it [00:05, 584.03it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 75106 | eff(%): 5.636 | loglstar: -inf < 3.120 < inf | logz: -7.151 +/- 0.135 | dlogz: 39.591 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4323it [00:05, 590.30it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 76532 | eff(%): 5.612 | loglstar: -inf < 3.964 < inf | logz: -6.423 +/- 0.136 | dlogz: 38.739 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4394it [00:05, 623.57it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 78165 | eff(%): 5.586 | loglstar: -inf < 5.206 < inf | logz: -5.505 +/- 0.138 | dlogz: 43.159 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4465it [00:05, 646.43it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 79798 | eff(%): 5.561 | loglstar: -inf < 6.359 < inf | logz: -4.542 +/- 0.139 | dlogz: 42.055 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4536it [00:05, 663.03it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 81431 | eff(%): 5.536 | loglstar: -inf < 7.621 < inf | logz: -3.465 +/- 0.141 | dlogz: 40.837 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4603it [00:06, 638.43it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 82972 | eff(%): 5.514 | loglstar: -inf < 8.809 < inf | logz: -2.479 +/- 0.142 | dlogz: 39.718 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4672it [00:06, 651.69it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 84559 | eff(%): 5.493 | loglstar: -inf < 9.906 < inf | logz: -1.432 +/- 0.143 | dlogz: 38.532 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4738it [00:06, 567.06it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 86077 | eff(%): 5.473 | loglstar: -inf < 10.934 < inf | logz: -0.519 +/- 0.143 | dlogz: 37.487 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4799it [00:06, 576.61it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 87480 | eff(%): 5.455 | loglstar: -inf < 11.742 < inf | logz: 0.277 +/- 0.144 | dlogz: 36.567 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4865it [00:06, 598.17it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 88998 | eff(%): 5.436 | loglstar: -inf < 12.670 < inf | logz: 1.122 +/- 0.145 | dlogz: 35.589 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4927it [00:06, 571.85it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 90424 | eff(%): 5.419 | loglstar: -inf < 13.795 < inf | logz: 1.948 +/- 0.145 | dlogz: 34.642 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4990it [00:06, 586.74it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 91873 | eff(%): 5.402 | loglstar: -inf < 14.863 < inf | logz: 2.870 +/- 0.147 | dlogz: 33.594 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5058it [00:06, 610.59it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 93437 | eff(%): 5.384 | loglstar: -inf < 15.963 < inf | logz: 3.842 +/- 0.148 | dlogz: 32.487 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5127it [00:06, 631.52it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 95024 | eff(%): 5.367 | loglstar: -inf < 17.227 < inf | logz: 4.895 +/- 0.149 | dlogz: 31.297 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5191it [00:07, 563.16it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 96496 | eff(%): 5.352 | loglstar: -inf < 17.941 < inf | logz: 5.765 +/- 0.149 | dlogz: 30.295 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5250it [00:07, 570.17it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 97853 | eff(%): 5.338 | loglstar: -inf < 18.880 < inf | logz: 6.518 +/- 0.150 | dlogz: 29.425 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5322it [00:07, 610.01it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 99509 | eff(%): 5.322 | loglstar: -inf < 20.250 < inf | logz: 7.537 +/- 0.151 | dlogz: 28.265 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5393it [00:07, 637.96it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 101142 | eff(%): 5.306 | loglstar: -inf < 21.398 < inf | logz: 8.597 +/- 0.152 | dlogz: 27.063 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5464it [00:07, 658.58it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 102775 | eff(%): 5.291 | loglstar: -inf < 22.583 < inf | logz: 9.649 +/- 0.153 | dlogz: 25.868 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5532it [00:07, 663.83it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 104339 | eff(%): 5.277 | loglstar: -inf < 23.617 < inf | logz: 10.658 +/- 0.154 | dlogz: 24.722 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5599it [00:07, 658.44it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 105880 | eff(%): 5.263 | loglstar: -inf < 24.675 < inf | logz: 11.558 +/- 0.155 | dlogz: 23.689 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5666it [00:07, 656.67it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 107421 | eff(%): 5.250 | loglstar: -inf < 25.764 < inf | logz: 12.469 +/- 0.156 | dlogz: 22.644 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5732it [00:07, 578.40it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 108939 | eff(%): 5.238 | loglstar: -inf < 26.678 < inf | logz: 13.403 +/- 0.156 | dlogz: 21.577 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5796it [00:07, 594.19it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 110411 | eff(%): 5.226 | loglstar: -inf < 27.677 < inf | logz: 14.205 +/- 0.157 | dlogz: 20.648 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5857it [00:08, 596.36it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 111814 | eff(%): 5.215 | loglstar: -inf < 28.458 < inf | logz: 14.958 +/- 0.157 | dlogz: 19.771 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5928it [00:08, 627.77it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 113447 | eff(%): 5.202 | loglstar: -inf < 29.480 < inf | logz: 15.831 +/- 0.158 | dlogz: 18.756 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5995it [00:08, 639.22it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 114988 | eff(%): 5.191 | loglstar: -inf < 30.384 < inf | logz: 16.624 +/- 0.159 | dlogz: 17.830 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6066it [00:08, 659.02it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 116621 | eff(%): 5.179 | loglstar: -inf < 31.273 < inf | logz: 17.482 +/- 0.160 | dlogz: 16.828 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6135it [00:08, 666.32it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 118208 | eff(%): 5.168 | loglstar: -inf < 32.281 < inf | logz: 18.266 +/- 0.160 | dlogz: 15.907 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6203it [00:08, 582.27it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 119772 | eff(%): 5.157 | loglstar: -inf < 33.033 < inf | logz: 19.007 +/- 0.161 | dlogz: 15.029 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6264it [00:08, 580.13it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 121175 | eff(%): 5.148 | loglstar: -inf < 33.584 < inf | logz: 19.590 +/- 0.161 | dlogz: 14.322 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6324it [00:08, 532.56it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 122555 | eff(%): 5.139 | loglstar: -inf < 34.282 < inf | logz: 20.139 +/- 0.161 | dlogz: 13.654 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6394it [00:08, 574.81it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 124165 | eff(%): 5.129 | loglstar: -inf < 35.164 < inf | logz: 20.810 +/- 0.162 | dlogz: 12.844 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6456it [00:09, 587.04it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 125591 | eff(%): 5.120 | loglstar: -inf < 35.852 < inf | logz: 21.396 +/- 0.163 | dlogz: 12.134 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6527it [00:09, 620.64it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 127224 | eff(%): 5.110 | loglstar: -inf < 36.605 < inf | logz: 22.049 +/- 0.163 | dlogz: 11.339 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6597it [00:09, 642.87it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 128834 | eff(%): 5.101 | loglstar: -inf < 37.357 < inf | logz: 22.679 +/- 0.164 | dlogz: 10.569 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6663it [00:09, 644.47it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 130352 | eff(%): 5.092 | loglstar: -inf < 37.922 < inf | logz: 23.232 +/- 0.165 | dlogz: 9.882 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6729it [00:09, 569.84it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 131870 | eff(%): 5.083 | loglstar: -inf < 38.482 < inf | logz: 23.735 +/- 0.165 | dlogz: 9.248 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6800it [00:09, 606.41it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 133503 | eff(%): 5.075 | loglstar: -inf < 39.110 < inf | logz: 24.255 +/- 0.165 | dlogz: 8.585 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6863it [00:09, 605.10it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 134952 | eff(%): 5.067 | loglstar: -inf < 39.575 < inf | logz: 24.674 +/- 0.166 | dlogz: 8.040 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6925it [00:09, 609.01it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 136378 | eff(%): 5.059 | loglstar: -inf < 39.976 < inf | logz: 25.065 +/- 0.166 | dlogz: 7.524 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6989it [00:09, 616.45it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 137850 | eff(%): 5.052 | loglstar: -inf < 40.438 < inf | logz: 25.429 +/- 0.166 | dlogz: 7.033 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7060it [00:10, 643.22it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 139483 | eff(%): 5.043 | loglstar: -inf < 41.002 < inf | logz: 25.838 +/- 0.167 | dlogz: 6.483 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7132it [00:10, 663.14it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 141139 | eff(%): 5.035 | loglstar: -inf < 41.383 < inf | logz: 26.229 +/- 0.167 | dlogz: 5.948 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7199it [00:10, 578.76it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 142680 | eff(%): 5.028 | loglstar: -inf < 41.853 < inf | logz: 26.568 +/- 0.168 | dlogz: 5.477 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7260it [00:10, 585.51it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 144083 | eff(%): 5.021 | loglstar: -inf < 42.165 < inf | logz: 26.857 +/- 0.168 | dlogz: 5.067 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7330it [00:10, 614.99it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 145693 | eff(%): 5.014 | loglstar: -inf < 42.559 < inf | logz: 27.158 +/- 0.168 | dlogz: 4.672 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7394it [00:10, 619.40it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 147165 | eff(%): 5.007 | loglstar: -inf < 42.866 < inf | logz: 27.425 +/- 0.169 | dlogz: 4.282 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7464it [00:10, 641.75it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 148775 | eff(%): 5.000 | loglstar: -inf < 43.181 < inf | logz: 27.685 +/- 0.169 | dlogz: 3.888 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7536it [00:10, 661.57it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 150431 | eff(%): 4.993 | loglstar: -inf < 43.496 < inf | logz: 27.934 +/- 0.169 | dlogz: 3.504 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7603it [00:10, 634.76it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 151972 | eff(%): 4.986 | loglstar: -inf < 43.752 < inf | logz: 28.146 +/- 0.170 | dlogz: 3.171 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7673it [00:11, 653.26it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 153582 | eff(%): 4.980 | loglstar: -inf < 43.970 < inf | logz: 28.348 +/- 0.170 | dlogz: 2.846 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7739it [00:11, 572.50it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 155100 | eff(%): 4.974 | loglstar: -inf < 44.159 < inf | logz: 28.516 +/- 0.170 | dlogz: 2.566 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7803it [00:11, 588.57it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 156572 | eff(%): 4.968 | loglstar: -inf < 44.347 < inf | logz: 28.662 +/- 0.170 | dlogz: 2.316 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7875it [00:11, 621.80it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 158228 | eff(%): 4.961 | loglstar: -inf < 44.530 < inf | logz: 28.813 +/- 0.170 | dlogz: 2.054 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7947it [00:11, 647.04it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 159884 | eff(%): 4.955 | loglstar: -inf < 44.716 < inf | logz: 28.949 +/- 0.171 | dlogz: 1.815 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8019it [00:11, 666.08it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 161540 | eff(%): 4.949 | loglstar: -inf < 44.864 < inf | logz: 29.070 +/- 0.171 | dlogz: 1.597 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8091it [00:11, 678.75it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 163196 | eff(%): 4.943 | loglstar: -inf < 45.008 < inf | logz: 29.179 +/- 0.171 | dlogz: 1.401 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8160it [00:11, 663.31it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 164783 | eff(%): 4.937 | loglstar: -inf < 45.147 < inf | logz: 29.273 +/- 0.171 | dlogz: 1.232 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8227it [00:11, 575.63it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 166324 | eff(%): 4.932 | loglstar: -inf < 45.266 < inf | logz: 29.356 +/- 0.171 | dlogz: 1.083 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8299it [00:12, 611.43it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 167980 | eff(%): 4.926 | loglstar: -inf < 45.374 < inf | logz: 29.436 +/- 0.171 | dlogz: 0.941 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8370it [00:12, 636.05it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 169613 | eff(%): 4.920 | loglstar: -inf < 45.454 < inf | logz: 29.505 +/- 0.171 | dlogz: 0.817 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8441it [00:12, 656.06it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 171246 | eff(%): 4.915 | loglstar: -inf < 45.535 < inf | logz: 29.567 +/- 0.171 | dlogz: 0.709 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8510it [00:12, 665.63it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 172833 | eff(%): 4.910 | loglstar: -inf < 45.605 < inf | logz: 29.620 +/- 0.171 | dlogz: 0.616 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8581it [00:12, 677.47it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 174466 | eff(%): 4.904 | loglstar: -inf < 45.690 < inf | logz: 29.669 +/- 0.172 | dlogz: 0.533 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8650it [00:12, 666.42it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 176053 | eff(%): 4.899 | loglstar: -inf < 45.763 < inf | logz: 29.711 +/- 0.172 | dlogz: 0.462 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8718it [00:12, 543.33it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 177617 | eff(%): 4.895 | loglstar: -inf < 45.839 < inf | logz: 29.749 +/- 0.172 | dlogz: 0.401 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8777it [00:12, 546.29it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 178974 | eff(%): 4.890 | loglstar: -inf < 45.885 < inf | logz: 29.779 +/- 0.172 | dlogz: 0.355 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8835it [00:12, 502.52it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 180308 | eff(%): 4.886 | loglstar: -inf < 45.930 < inf | logz: 29.805 +/- 0.172 | dlogz: 0.315 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8902it [00:13, 542.93it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 181849 | eff(%): 4.882 | loglstar: -inf < 45.969 < inf | logz: 29.832 +/- 0.172 | dlogz: 0.274 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8960it [00:13, 551.21it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 183183 | eff(%): 4.878 | loglstar: -inf < 46.004 < inf | logz: 29.854 +/- 0.172 | dlogz: 0.242 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9032it [00:13, 593.31it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 184839 | eff(%): 4.873 | loglstar: -inf < 46.048 < inf | logz: 29.877 +/- 0.172 | dlogz: 0.209 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9093it [00:13, 578.33it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 186242 | eff(%): 4.869 | loglstar: -inf < 46.078 < inf | logz: 29.895 +/- 0.172 | dlogz: 0.184 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9160it [00:13, 601.45it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 187783 | eff(%): 4.865 | loglstar: -inf < 46.103 < inf | logz: 29.912 +/- 0.172 | dlogz: 0.160 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9222it [00:13, 531.70it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 189209 | eff(%): 4.861 | loglstar: -inf < 46.133 < inf | logz: 29.926 +/- 0.172 | dlogz: 0.141 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9278it [00:13, 537.05it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 190497 | eff(%): 4.858 | loglstar: -inf < 46.156 < inf | logz: 29.938 +/- 0.172 | dlogz: 0.125 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9349it [00:13, 581.62it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 192130 | eff(%): 4.853 | loglstar: -inf < 46.182 < inf | logz: 29.951 +/- 0.172 | dlogz: 0.108 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9420it [00:13, 615.49it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 193763 | eff(%): 4.849 | loglstar: -inf < 46.211 < inf | logz: 29.962 +/- 0.172 | dlogz: 0.094 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9491it [00:14, 639.91it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 195396 | eff(%): 4.845 | loglstar: -inf < 46.239 < inf | logz: 29.973 +/- 0.172 | dlogz: 0.081 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9563it [00:14, 658.01it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 197052 | eff(%): 4.841 | loglstar: -inf < 46.263 < inf | logz: 29.982 +/- 0.172 | dlogz: 0.070 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9630it [00:14, 649.90it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 198593 | eff(%): 4.837 | loglstar: -inf < 46.279 < inf | logz: 29.989 +/- 0.172 | dlogz: 0.061 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9696it [00:14, 555.68it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 200111 | eff(%): 4.833 | loglstar: -inf < 46.296 < inf | logz: 29.996 +/- 0.172 | dlogz: 0.053 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9759it [00:14, 574.50it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 201560 | eff(%): 4.830 | loglstar: -inf < 46.309 < inf | logz: 30.001 +/- 0.172 | dlogz: 0.047 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9822it [00:14, 587.22it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 203009 | eff(%): 4.826 | loglstar: -inf < 46.319 < inf | logz: 30.006 +/- 0.172 | dlogz: 0.041 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9887it [00:14, 600.63it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 204504 | eff(%): 4.823 | loglstar: -inf < 46.333 < inf | logz: 30.011 +/- 0.172 | dlogz: 0.036 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9958it [00:14, 627.66it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 206137 | eff(%): 4.819 | loglstar: -inf < 46.346 < inf | logz: 30.015 +/- 0.172 | dlogz: 0.031 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10029it [00:14, 647.30it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 207770 | eff(%): 4.815 | loglstar: -inf < 46.356 < inf | logz: 30.019 +/- 0.172 | dlogz: 0.027 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10100it [00:15, 660.63it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 209403 | eff(%): 4.812 | loglstar: -inf < 46.365 < inf | logz: 30.022 +/- 0.172 | dlogz: 0.024 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10170it [00:15, 668.57it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 211013 | eff(%): 4.808 | loglstar: -inf < 46.374 < inf | logz: 30.025 +/- 0.172 | dlogz: 0.020 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10238it [00:15, 550.62it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 212577 | eff(%): 4.805 | loglstar: -inf < 46.381 < inf | logz: 30.027 +/- 0.172 | dlogz: 0.018 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10299it [00:15, 564.47it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 213980 | eff(%): 4.802 | loglstar: -inf < 46.386 < inf | logz: 30.029 +/- 0.172 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10359it [00:15, 572.93it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 215360 | eff(%): 4.799 | loglstar: -inf < 46.392 < inf | logz: 30.031 +/- 0.172 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10425it [00:15, 596.02it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 216878 | eff(%): 4.796 | loglstar: -inf < 46.398 < inf | logz: 30.032 +/- 0.172 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10496it [00:15, 627.42it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 218511 | eff(%): 4.792 | loglstar: -inf < 46.403 < inf | logz: 30.034 +/- 0.172 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10835it [00:15, 1419.86it/s, batch: 0 | bound: 19 | nc: 1 | ncall: 219488 | eff(%): 4.932 | loglstar: -inf < 46.431 < inf | logz: 30.040 +/- 0.172 | dlogz: 0.004 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11025it [00:16, 558.54it/s, batch: 1 | bound: 0 | nc: 23 | ncall: 219678 | eff(%): 5.019 | loglstar: 43.866 < 46.083 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11136it [00:16, 581.23it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 222231 | eff(%): 4.764 | loglstar: 43.866 < 44.215 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11234it [00:16, 593.09it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 224485 | eff(%): 4.760 | loglstar: 43.866 < 44.490 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11322it [00:16, 614.36it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 226509 | eff(%): 4.757 | loglstar: 43.866 < 44.708 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11405it [00:17, 611.92it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 228418 | eff(%): 4.754 | loglstar: 43.866 < 44.885 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11481it [00:17, 606.94it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 230166 | eff(%): 4.751 | loglstar: 43.866 < 45.046 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11552it [00:17, 555.74it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 231799 | eff(%): 4.748 | loglstar: 43.866 < 45.160 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11615it [00:17, 556.45it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 233248 | eff(%): 4.746 | loglstar: 43.866 < 45.258 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11682it [00:17, 581.87it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 234789 | eff(%): 4.743 | loglstar: 43.866 < 45.354 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11749it [00:17, 602.98it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 236330 | eff(%): 4.741 | loglstar: 43.866 < 45.456 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11813it [00:17, 561.54it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 237802 | eff(%): 4.738 | loglstar: 43.866 < 45.541 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12243it [00:17, 1504.96it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 238518 | eff(%): 4.905 | loglstar: 43.866 < 46.186 < 45.554 | logz: 30.044 +/- 0.177 | stop: 4.167]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12413it [00:18, 489.61it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 251602 | eff(%): 4.718 | loglstar: 43.335 < 43.629 < 43.869 | logz: 30.052 +/- 0.146 | stop: 2.495]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12538it [00:19, 547.57it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 253663 | eff(%): 4.729 | loglstar: 43.335 < 44.033 < 43.869 | logz: 30.052 +/- 0.146 | stop: 2.495] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13001it [00:19, 550.80it/s, batch: 3 | bound: 0 | nc: 23 | ncall: 265126 | eff(%): 4.904 | loglstar: 42.918 < 43.733 < 43.338 | logz: 30.031 +/- 0.137 | stop: 2.071]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13098it [00:19, 563.73it/s, batch: 3 | bound: 1 | nc: 23 | ncall: 267357 | eff(%): 4.697 | loglstar: 42.918 < 43.293 < 43.338 | logz: 30.031 +/- 0.137 | stop: 2.071]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13477it [00:20, 903.50it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 268000 | eff(%): 4.828 | loglstar: 42.918 < 45.095 < 43.338 | logz: 30.031 +/- 0.137 | stop: 2.071] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13652it [00:20, 510.80it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 280099 | eff(%): 4.682 | loglstar: 42.485 < 42.665 < 42.918 | logz: 30.017 +/- 0.132 | stop: 1.826]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13781it [00:21, 575.20it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 281658 | eff(%): 4.702 | loglstar: 42.485 < 43.158 < 42.918 | logz: 30.017 +/- 0.132 | stop: 1.826] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14217it [00:21, 541.45it/s, batch: 5 | bound: 0 | nc: 23 | ncall: 293094 | eff(%): 4.851 | loglstar: 42.062 < 45.022 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14321it [00:22, 556.33it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 295486 | eff(%): 4.665 | loglstar: 42.062 < 42.590 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14414it [00:22, 563.78it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 297625 | eff(%): 4.663 | loglstar: 42.062 < 43.014 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14498it [00:22, 572.89it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 299557 | eff(%): 4.661 | loglstar: 42.062 < 43.290 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14575it [00:22, 593.13it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 301328 | eff(%): 4.659 | loglstar: 42.062 < 43.620 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14651it [00:22, 612.01it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 303076 | eff(%): 4.657 | loglstar: 42.062 < 43.841 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14725it [00:22, 567.76it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 304778 | eff(%): 4.656 | loglstar: 42.062 < 44.073 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14793it [00:22, 588.70it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 306342 | eff(%): 4.654 | loglstar: 42.062 < 44.289 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14862it [00:22, 609.12it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 307929 | eff(%): 4.653 | loglstar: 42.062 < 44.470 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14933it [00:23, 630.58it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 309562 | eff(%): 4.651 | loglstar: 42.062 < 44.597 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15001it [00:23, 620.77it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 311126 | eff(%): 4.650 | loglstar: 42.062 < 44.767 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15068it [00:23, 632.93it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 312667 | eff(%): 4.648 | loglstar: 42.062 < 44.901 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15134it [00:23, 634.36it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 314185 | eff(%): 4.647 | loglstar: 42.062 < 45.015 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15204it [00:23, 648.64it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 315795 | eff(%): 4.645 | loglstar: 42.062 < 45.145 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15271it [00:23, 568.62it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 317336 | eff(%): 4.644 | loglstar: 42.062 < 45.257 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15341it [00:23, 600.36it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 318946 | eff(%): 4.643 | loglstar: 42.062 < 45.381 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15411it [00:23, 627.14it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 320556 | eff(%): 4.641 | loglstar: 42.062 < 45.481 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15482it [00:23, 648.34it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 322189 | eff(%): 4.640 | loglstar: 42.062 < 45.576 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15552it [00:24, 661.34it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 323799 | eff(%): 4.638 | loglstar: 42.062 < 45.649 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15623it [00:24, 673.40it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 325432 | eff(%): 4.637 | loglstar: 42.062 < 45.717 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15693it [00:24, 681.09it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 327042 | eff(%): 4.635 | loglstar: 42.062 < 45.777 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15762it [00:24, 594.70it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 328629 | eff(%): 4.634 | loglstar: 42.062 < 45.836 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15990it [00:24, 1044.48it/s, batch: 5 | bound: 4 | nc: 1 | ncall: 329847 | eff(%): 4.687 | loglstar: 42.062 < 46.034 < 45.879 | logz: 30.007 +/- 0.127 | stop: 1.650]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16307it [00:25, 522.07it/s, batch: 6 | bound: 0 | nc: 23 | ncall: 341164 | eff(%): 4.780 | loglstar: 41.666 < 44.618 < 42.063 | logz: 30.002 +/- 0.112 | stop: 1.205]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16397it [00:25, 547.18it/s, batch: 6 | bound: 1 | nc: 1 | ncall: 343058 | eff(%): 4.625 | loglstar: 41.666 < 42.138 < 42.063 | logz: 30.002 +/- 0.112 | stop: 1.205] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16889it [00:26, 544.84it/s, batch: 7 | bound: 0 | nc: 23 | ncall: 354550 | eff(%): 4.764 | loglstar: 41.236 < 42.281 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16964it [00:26, 554.65it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 356275 | eff(%): 4.613 | loglstar: 41.236 < 41.698 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17036it [00:26, 570.49it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 357931 | eff(%): 4.611 | loglstar: 41.236 < 42.031 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17108it [00:26, 585.07it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 359587 | eff(%): 4.610 | loglstar: 41.236 < 42.413 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17179it [00:26, 604.00it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 361220 | eff(%): 4.609 | loglstar: 41.236 < 42.684 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17250it [00:26, 621.35it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 362853 | eff(%): 4.608 | loglstar: 41.236 < 43.008 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17321it [00:27, 633.86it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 364486 | eff(%): 4.607 | loglstar: 41.236 < 43.327 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17391it [00:27, 581.31it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 366096 | eff(%): 4.606 | loglstar: 41.236 < 43.576 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17454it [00:27, 587.74it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 367545 | eff(%): 4.605 | loglstar: 41.236 < 43.799 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17523it [00:27, 610.95it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 369132 | eff(%): 4.604 | loglstar: 41.236 < 44.054 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17592it [00:27, 630.48it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 370719 | eff(%): 4.603 | loglstar: 41.236 < 44.271 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17663it [00:27, 650.93it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 372352 | eff(%): 4.602 | loglstar: 41.236 < 44.478 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17734it [00:27, 666.53it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 373985 | eff(%): 4.600 | loglstar: 41.236 < 44.613 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17805it [00:27, 677.96it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 375618 | eff(%): 4.599 | loglstar: 41.236 < 44.800 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17875it [00:27, 681.43it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 377228 | eff(%): 4.598 | loglstar: 41.236 < 44.903 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17944it [00:28, 592.80it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 378815 | eff(%): 4.597 | loglstar: 41.236 < 45.058 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18012it [00:28, 614.68it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 380379 | eff(%): 4.596 | loglstar: 41.236 < 45.185 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18076it [00:28, 606.16it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 381851 | eff(%): 4.595 | loglstar: 41.236 < 45.281 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18139it [00:28, 609.45it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 383300 | eff(%): 4.594 | loglstar: 41.236 < 45.375 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18206it [00:28, 624.17it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 384841 | eff(%): 4.594 | loglstar: 41.236 < 45.475 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18277it [00:28, 647.32it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 386474 | eff(%): 4.593 | loglstar: 41.236 < 45.546 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18348it [00:28, 662.95it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 388107 | eff(%): 4.592 | loglstar: 41.236 < 45.644 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18415it [00:28, 582.17it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 389648 | eff(%): 4.591 | loglstar: 41.236 < 45.716 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18480it [00:28, 599.97it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 391143 | eff(%): 4.590 | loglstar: 41.236 < 45.788 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18814it [00:28, 1357.11it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 391763 | eff(%): 4.669 | loglstar: 41.236 < 46.165 < 45.799 | logz: 29.987 +/- 0.110 | stop: 1.140]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18993it [00:29, 1118.40it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 391942 | eff(%): 4.714 | loglstar: 41.236 < 46.452 < 45.799 | logz: 29.987 +/- 0.110 | stop: 0.916]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18993it [00:29, 650.55it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 391942 | eff(%): 4.714 | loglstar: 41.236 < 46.452 < 45.799 | logz: 29.987 +/- 0.110 | stop: 0.916] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "276it [00:00, 2757.06it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 371 | eff(%): 31.688 | loglstar: -inf < -28156.072 < inf | logz: -28163.531 +/- 0.122 | dlogz: 28372.382 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "552it [00:00, 2683.02it/s, batch: 0 | bound: 0 | nc: 5 | ncall: 936 | eff(%): 38.440 | loglstar: -inf < -459.797 < inf | logz: -467.628 +/- 0.121 | dlogz: 455.411 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "821it [00:00, 2638.63it/s, batch: 0 | bound: 0 | nc: 4 | ncall: 1866 | eff(%): 34.700 | loglstar: -inf < -53.038 < inf | logz: -59.164 +/- 0.103 | dlogz: 44.562 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1085it [00:00, 2319.47it/s, batch: 0 | bound: 0 | nc: 3 | ncall: 3456 | eff(%): 27.427 | loglstar: -inf < -38.698 < inf | logz: -43.355 +/- 0.085 | dlogz: 28.060 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1322it [00:00, 1882.66it/s, batch: 0 | bound: 0 | nc: 6 | ncall: 6161 | eff(%): 19.847 | loglstar: -inf < -33.263 < inf | logz: -38.213 +/- 0.088 | dlogz: 22.817 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1523it [00:00, 1649.17it/s, batch: 0 | bound: 0 | nc: 25 | ncall: 9125 | eff(%): 15.823 | loglstar: -inf < -29.405 < inf | logz: -34.468 +/- 0.091 | dlogz: 18.870 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1699it [00:00, 1367.28it/s, batch: 0 | bound: 0 | nc: 48 | ncall: 14182 | eff(%): 11.572 | loglstar: -inf < -26.065 < inf | logz: -31.637 +/- 0.093 | dlogz: 15.689 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1848it [00:01, 995.76it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 18762 | eff(%): 9.594 | loglstar: -inf < -23.944 < inf | logz: -29.468 +/- 0.095 | dlogz: 13.217 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1967it [00:01, 942.50it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 21380 | eff(%): 8.990 | loglstar: -inf < -22.548 < inf | logz: -28.183 +/- 0.095 | dlogz: 11.694 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2073it [00:01, 908.09it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 23712 | eff(%): 8.562 | loglstar: -inf < -21.337 < inf | logz: -27.066 +/- 0.096 | dlogz: 10.364 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2171it [00:01, 880.69it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 25868 | eff(%): 8.233 | loglstar: -inf < -20.410 < inf | logz: -26.173 +/- 0.097 | dlogz: 9.273 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2264it [00:01, 859.95it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 27914 | eff(%): 7.968 | loglstar: -inf < -19.588 < inf | logz: -25.428 +/- 0.098 | dlogz: 8.342 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2353it [00:01, 721.21it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 29872 | eff(%): 7.747 | loglstar: -inf < -18.856 < inf | logz: -24.789 +/- 0.098 | dlogz: 7.525 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2436it [00:02, 744.20it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 31698 | eff(%): 7.566 | loglstar: -inf < -18.153 < inf | logz: -24.220 +/- 0.099 | dlogz: 6.790 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2517it [00:02, 759.52it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 33480 | eff(%): 7.407 | loglstar: -inf < -17.527 < inf | logz: -23.698 +/- 0.100 | dlogz: 6.107 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2598it [00:02, 772.10it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 35262 | eff(%): 7.265 | loglstar: -inf < -16.957 < inf | logz: -23.210 +/- 0.101 | dlogz: 5.459 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2680it [00:02, 782.29it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 37066 | eff(%): 7.134 | loglstar: -inf < -16.517 < inf | logz: -22.778 +/- 0.101 | dlogz: 4.866 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2762it [00:02, 792.04it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 38870 | eff(%): 7.015 | loglstar: -inf < -16.134 < inf | logz: -22.407 +/- 0.102 | dlogz: 4.336 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2843it [00:02, 642.44it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 40652 | eff(%): 6.909 | loglstar: -inf < -15.783 < inf | logz: -22.091 +/- 0.102 | dlogz: 3.865 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2920it [00:02, 671.81it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 42346 | eff(%): 6.815 | loglstar: -inf < -15.438 < inf | logz: -21.813 +/- 0.102 | dlogz: 3.445 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2995it [00:02, 690.04it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 43996 | eff(%): 6.731 | loglstar: -inf < -15.137 < inf | logz: -21.567 +/- 0.103 | dlogz: 3.063 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3075it [00:02, 717.75it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 45756 | eff(%): 6.648 | loglstar: -inf < -14.889 < inf | logz: -21.332 +/- 0.103 | dlogz: 2.691 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3157it [00:03, 744.81it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 47560 | eff(%): 6.569 | loglstar: -inf < -14.624 < inf | logz: -21.121 +/- 0.103 | dlogz: 2.345 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3239it [00:03, 765.48it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 49364 | eff(%): 6.496 | loglstar: -inf < -14.386 < inf | logz: -20.932 +/- 0.104 | dlogz: 2.032 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3318it [00:03, 646.79it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 51102 | eff(%): 6.430 | loglstar: -inf < -14.221 < inf | logz: -20.774 +/- 0.104 | dlogz: 1.764 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3401it [00:03, 692.40it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 52928 | eff(%): 6.366 | loglstar: -inf < -14.041 < inf | logz: -20.630 +/- 0.104 | dlogz: 1.515 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3484it [00:03, 728.16it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 54754 | eff(%): 6.305 | loglstar: -inf < -13.902 < inf | logz: -20.506 +/- 0.104 | dlogz: 1.296 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3567it [00:03, 754.77it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 56580 | eff(%): 6.249 | loglstar: -inf < -13.746 < inf | logz: -20.397 +/- 0.104 | dlogz: 1.104 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3650it [00:03, 775.29it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 58406 | eff(%): 6.196 | loglstar: -inf < -13.635 < inf | logz: -20.301 +/- 0.105 | dlogz: 0.936 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3732it [00:03, 787.24it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 60210 | eff(%): 6.147 | loglstar: -inf < -13.527 < inf | logz: -20.219 +/- 0.105 | dlogz: 0.794 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3812it [00:03, 650.33it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 61970 | eff(%): 6.102 | loglstar: -inf < -13.433 < inf | logz: -20.149 +/- 0.105 | dlogz: 0.675 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3893it [00:04, 690.38it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 63752 | eff(%): 6.059 | loglstar: -inf < -13.360 < inf | logz: -20.088 +/- 0.105 | dlogz: 0.571 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3973it [00:04, 717.68it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 65512 | eff(%): 6.019 | loglstar: -inf < -13.280 < inf | logz: -20.035 +/- 0.105 | dlogz: 0.485 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4054it [00:04, 741.99it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 67294 | eff(%): 5.980 | loglstar: -inf < -13.212 < inf | logz: -19.989 +/- 0.105 | dlogz: 0.412 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4134it [00:04, 758.10it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 69054 | eff(%): 5.944 | loglstar: -inf < -13.152 < inf | logz: -19.949 +/- 0.105 | dlogz: 0.349 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4215it [00:04, 771.32it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 70836 | eff(%): 5.909 | loglstar: -inf < -13.092 < inf | logz: -19.914 +/- 0.105 | dlogz: 0.297 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4294it [00:04, 644.63it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 72574 | eff(%): 5.876 | loglstar: -inf < -13.027 < inf | logz: -19.884 +/- 0.106 | dlogz: 0.252 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4377it [00:04, 691.46it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 74400 | eff(%): 5.844 | loglstar: -inf < -12.987 < inf | logz: -19.857 +/- 0.106 | dlogz: 0.212 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4461it [00:04, 730.02it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 76248 | eff(%): 5.813 | loglstar: -inf < -12.944 < inf | logz: -19.833 +/- 0.106 | dlogz: 0.178 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4546it [00:04, 763.01it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 78118 | eff(%): 5.782 | loglstar: -inf < -12.901 < inf | logz: -19.812 +/- 0.106 | dlogz: 0.149 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4630it [00:05, 783.49it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 79966 | eff(%): 5.754 | loglstar: -inf < -12.861 < inf | logz: -19.794 +/- 0.106 | dlogz: 0.126 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4714it [00:05, 797.10it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 81814 | eff(%): 5.727 | loglstar: -inf < -12.826 < inf | logz: -19.779 +/- 0.106 | dlogz: 0.106 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4796it [00:05, 664.66it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 83618 | eff(%): 5.702 | loglstar: -inf < -12.799 < inf | logz: -19.766 +/- 0.106 | dlogz: 0.089 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4879it [00:05, 705.08it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 85444 | eff(%): 5.677 | loglstar: -inf < -12.775 < inf | logz: -19.755 +/- 0.106 | dlogz: 0.075 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4964it [00:05, 742.25it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 87314 | eff(%): 5.653 | loglstar: -inf < -12.753 < inf | logz: -19.745 +/- 0.106 | dlogz: 0.063 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5047it [00:05, 764.85it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 89140 | eff(%): 5.630 | loglstar: -inf < -12.731 < inf | logz: -19.737 +/- 0.106 | dlogz: 0.054 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5131it [00:05, 783.58it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 90988 | eff(%): 5.608 | loglstar: -inf < -12.712 < inf | logz: -19.729 +/- 0.106 | dlogz: 0.045 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5214it [00:05, 795.20it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 92814 | eff(%): 5.588 | loglstar: -inf < -12.695 < inf | logz: -19.723 +/- 0.106 | dlogz: 0.038 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5295it [00:06, 660.99it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 94596 | eff(%): 5.568 | loglstar: -inf < -12.683 < inf | logz: -19.718 +/- 0.106 | dlogz: 0.032 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5377it [00:06, 700.16it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 96400 | eff(%): 5.549 | loglstar: -inf < -12.668 < inf | logz: -19.714 +/- 0.106 | dlogz: 0.027 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5461it [00:06, 736.64it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 98248 | eff(%): 5.530 | loglstar: -inf < -12.656 < inf | logz: -19.710 +/- 0.106 | dlogz: 0.023 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5545it [00:06, 762.36it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 100096 | eff(%): 5.512 | loglstar: -inf < -12.644 < inf | logz: -19.707 +/- 0.106 | dlogz: 0.020 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5629it [00:06, 782.37it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 101944 | eff(%): 5.495 | loglstar: -inf < -12.634 < inf | logz: -19.704 +/- 0.106 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5713it [00:06, 796.57it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 103792 | eff(%): 5.478 | loglstar: -inf < -12.627 < inf | logz: -19.702 +/- 0.106 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5794it [00:06, 665.60it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 105574 | eff(%): 5.462 | loglstar: -inf < -12.620 < inf | logz: -19.700 +/- 0.106 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5877it [00:06, 706.38it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 107400 | eff(%): 5.447 | loglstar: -inf < -12.612 < inf | logz: -19.698 +/- 0.106 | dlogz: 0.010 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6377it [00:07, 747.78it/s, batch: 1 | bound: 0 | nc: 22 | ncall: 107900 | eff(%): 5.910 | loglstar: -15.100 < -12.686 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6453it [00:07, 746.86it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 109572 | eff(%): 5.352 | loglstar: -15.100 < -14.844 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6528it [00:07, 734.88it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 111222 | eff(%): 5.341 | loglstar: -15.100 < -14.640 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6606it [00:07, 739.96it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 112938 | eff(%): 5.330 | loglstar: -15.100 < -14.417 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6687it [00:07, 753.21it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 114720 | eff(%): 5.319 | loglstar: -15.100 < -14.223 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6763it [00:07, 736.40it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 116392 | eff(%): 5.309 | loglstar: -15.100 < -14.102 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6845it [00:08, 755.11it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 118196 | eff(%): 5.298 | loglstar: -15.100 < -13.912 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6921it [00:08, 641.47it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 119868 | eff(%): 5.289 | loglstar: -15.100 < -13.808 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6997it [00:08, 668.42it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 121540 | eff(%): 5.279 | loglstar: -15.100 < -13.656 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7069it [00:08, 681.42it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 123124 | eff(%): 5.270 | loglstar: -15.100 < -13.583 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7150it [00:08, 715.38it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 124906 | eff(%): 5.261 | loglstar: -15.100 < -13.470 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7523it [00:08, 1542.12it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 125867 | eff(%): 5.510 | loglstar: -15.100 < -12.990 < -13.444 | logz: -19.688 +/- 0.110 | stop: 4.307]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7687it [00:09, 594.52it/s, batch: 2 | bound: 1 | nc: 22 | ncall: 136720 | eff(%): 5.204 | loglstar: -15.608 < -15.561 < -15.097 | logz: -19.692 +/- 0.090 | stop: 2.551]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7809it [00:09, 634.51it/s, batch: 2 | bound: 1 | nc: 22 | ncall: 139404 | eff(%): 5.192 | loglstar: -15.608 < -15.112 < -15.097 | logz: -19.692 +/- 0.090 | stop: 2.551]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8293it [00:09, 1266.78it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 140014 | eff(%): 5.509 | loglstar: -15.608 < -13.065 < -15.097 | logz: -19.692 +/- 0.090 | stop: 2.551]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8515it [00:10, 627.94it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 153193 | eff(%): 5.189 | loglstar: -16.073 < -15.264 < -15.600 | logz: -19.705 +/- 0.085 | stop: 2.130] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8932it [00:11, 602.27it/s, batch: 4 | bound: 0 | nc: 22 | ncall: 164110 | eff(%): 5.443 | loglstar: -16.596 < -13.040 < -16.071 | logz: -19.734 +/- 0.081 | stop: 1.865]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9064it [00:11, 637.57it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 166384 | eff(%): 5.111 | loglstar: -16.596 < -15.907 < -16.071 | logz: -19.734 +/- 0.081 | stop: 1.865] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9534it [00:12, 635.76it/s, batch: 5 | bound: 0 | nc: 22 | ncall: 177354 | eff(%): 5.376 | loglstar: -17.087 < -13.987 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9637it [00:12, 648.80it/s, batch: 5 | bound: 1 | nc: 22 | ncall: 179620 | eff(%): 5.056 | loglstar: -17.087 < -16.415 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9732it [00:12, 666.25it/s, batch: 5 | bound: 1 | nc: 22 | ncall: 181710 | eff(%): 5.050 | loglstar: -17.087 < -15.958 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9823it [00:12, 684.04it/s, batch: 5 | bound: 1 | nc: 22 | ncall: 183712 | eff(%): 5.045 | loglstar: -17.087 < -15.554 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9910it [00:12, 702.03it/s, batch: 5 | bound: 1 | nc: 22 | ncall: 185626 | eff(%): 5.040 | loglstar: -17.087 < -15.269 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9995it [00:12, 718.46it/s, batch: 5 | bound: 1 | nc: 22 | ncall: 187496 | eff(%): 5.035 | loglstar: -17.087 < -14.914 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10079it [00:12, 642.38it/s, batch: 5 | bound: 2 | nc: 22 | ncall: 189344 | eff(%): 5.031 | loglstar: -17.087 < -14.638 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10158it [00:12, 670.65it/s, batch: 5 | bound: 2 | nc: 22 | ncall: 191082 | eff(%): 5.027 | loglstar: -17.087 < -14.422 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10237it [00:12, 696.51it/s, batch: 5 | bound: 2 | nc: 22 | ncall: 192820 | eff(%): 5.023 | loglstar: -17.087 < -14.203 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10317it [00:13, 719.26it/s, batch: 5 | bound: 2 | nc: 22 | ncall: 194580 | eff(%): 5.018 | loglstar: -17.087 < -14.025 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10399it [00:13, 742.72it/s, batch: 5 | bound: 2 | nc: 22 | ncall: 196384 | eff(%): 5.014 | loglstar: -17.087 < -13.910 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10480it [00:13, 760.18it/s, batch: 5 | bound: 2 | nc: 22 | ncall: 198166 | eff(%): 5.010 | loglstar: -17.087 < -13.760 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10559it [00:13, 633.01it/s, batch: 5 | bound: 3 | nc: 22 | ncall: 199904 | eff(%): 5.007 | loglstar: -17.087 < -13.637 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10852it [00:13, 1193.18it/s, batch: 5 | bound: 3 | nc: 1 | ncall: 201058 | eff(%): 5.124 | loglstar: -17.087 < -13.221 < -13.572 | logz: -19.718 +/- 0.078 | stop: 1.685]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11100it [00:14, 585.68it/s, batch: 6 | bound: 0 | nc: 22 | ncall: 211806 | eff(%): 5.241 | loglstar: -17.553 < -14.129 < -17.068 | logz: -19.687 +/- 0.072 | stop: 1.318]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11218it [00:14, 659.41it/s, batch: 6 | bound: 1 | nc: 1 | ncall: 213268 | eff(%): 5.003 | loglstar: -17.553 < -16.670 < -17.068 | logz: -19.687 +/- 0.072 | stop: 1.318] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11664it [00:15, 614.69it/s, batch: 7 | bound: 0 | nc: 22 | ncall: 224214 | eff(%): 5.202 | loglstar: -18.083 < -14.475 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11758it [00:15, 630.15it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 226282 | eff(%): 4.955 | loglstar: -18.083 < -17.418 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11847it [00:15, 652.99it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 228240 | eff(%): 4.952 | loglstar: -18.083 < -16.857 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11933it [00:15, 674.23it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 230132 | eff(%): 4.949 | loglstar: -18.083 < -16.279 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12017it [00:15, 696.81it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 231980 | eff(%): 4.946 | loglstar: -18.083 < -15.838 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12100it [00:15, 716.77it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 233806 | eff(%): 4.943 | loglstar: -18.083 < -15.474 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12182it [00:15, 618.27it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 235610 | eff(%): 4.940 | loglstar: -18.083 < -15.160 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12253it [00:16, 633.26it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 237172 | eff(%): 4.937 | loglstar: -18.083 < -14.945 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12334it [00:16, 672.86it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 238954 | eff(%): 4.935 | loglstar: -18.083 < -14.723 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12416it [00:16, 706.80it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 240758 | eff(%): 4.932 | loglstar: -18.083 < -14.491 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12498it [00:16, 733.70it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 242562 | eff(%): 4.929 | loglstar: -18.083 < -14.275 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12580it [00:16, 754.51it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 244366 | eff(%): 4.926 | loglstar: -18.083 < -14.091 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12662it [00:16, 770.18it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 246170 | eff(%): 4.924 | loglstar: -18.083 < -13.967 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12742it [00:16, 645.92it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 247930 | eff(%): 4.921 | loglstar: -18.083 < -13.815 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12822it [00:16, 683.62it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 249690 | eff(%): 4.918 | loglstar: -18.083 < -13.695 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12902it [00:16, 713.18it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 251450 | eff(%): 4.916 | loglstar: -18.083 < -13.572 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12983it [00:16, 738.94it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 253232 | eff(%): 4.913 | loglstar: -18.083 < -13.461 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13062it [00:17, 751.71it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 254970 | eff(%): 4.911 | loglstar: -18.083 < -13.388 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13143it [00:17, 766.69it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 256752 | eff(%): 4.909 | loglstar: -18.083 < -13.298 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13222it [00:17, 635.51it/s, batch: 7 | bound: 4 | nc: 22 | ncall: 258490 | eff(%): 4.906 | loglstar: -18.083 < -13.218 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13303it [00:17, 677.78it/s, batch: 7 | bound: 4 | nc: 22 | ncall: 260272 | eff(%): 4.904 | loglstar: -18.083 < -13.156 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13383it [00:17, 710.18it/s, batch: 7 | bound: 4 | nc: 22 | ncall: 262032 | eff(%): 4.902 | loglstar: -18.083 < -13.096 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13463it [00:17, 733.73it/s, batch: 7 | bound: 4 | nc: 22 | ncall: 263792 | eff(%): 4.899 | loglstar: -18.083 < -13.047 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13543it [00:17, 751.14it/s, batch: 7 | bound: 4 | nc: 22 | ncall: 265552 | eff(%): 4.897 | loglstar: -18.083 < -13.000 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13624it [00:17, 765.17it/s, batch: 7 | bound: 4 | nc: 22 | ncall: 267334 | eff(%): 4.895 | loglstar: -18.083 < -12.942 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14032it [00:17, 1724.56it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 268183 | eff(%): 5.033 | loglstar: -18.083 < -12.691 < -12.929 | logz: -19.675 +/- 0.071 | stop: 1.254]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14145it [00:18, 780.53it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 268296 | eff(%): 5.074 | loglstar: -18.083 < -12.556 < -12.929 | logz: -19.675 +/- 0.071 | stop: 0.964] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "------------------------------\n", "Linear vs Constant\n", "logZ(linear) = 29.984 ± 0.102\n", "logZ(constant) = -19.671 ± 0.063\n", "log Bayes factor = 49.656\n", "Unconstrained model favored.\n", "------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "266it [00:00, 2650.95it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 346 | eff(%): 31.442 | loglstar: -inf < -12035.165 < inf | logz: -12042.604 +/- 0.122 | dlogz: 12054.550 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "532it [00:00, 2217.33it/s, batch: 0 | bound: 0 | nc: 4 | ncall: 999 | eff(%): 35.490 | loglstar: -inf < -366.453 < inf | logz: -374.305 +/- 0.122 | dlogz: 371.421 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "769it [00:00, 2276.78it/s, batch: 0 | bound: 0 | nc: 6 | ncall: 1975 | eff(%): 31.071 | loglstar: -inf < -61.015 < inf | logz: -67.156 +/- 0.102 | dlogz: 62.874 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1000it [00:00, 1839.68it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 3394 | eff(%): 25.681 | loglstar: -inf < -41.536 < inf | logz: -46.266 +/- 0.087 | dlogz: 41.334 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1195it [00:00, 1639.33it/s, batch: 0 | bound: 0 | nc: 24 | ncall: 5364 | eff(%): 20.379 | loglstar: -inf < -36.853 < inf | logz: -41.520 +/- 0.086 | dlogz: 36.886 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1368it [00:00, 1544.81it/s, batch: 0 | bound: 0 | nc: 14 | ncall: 7676 | eff(%): 16.732 | loglstar: -inf < -33.580 < inf | logz: -38.401 +/- 0.087 | dlogz: 43.202 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1528it [00:00, 1448.65it/s, batch: 0 | bound: 0 | nc: 19 | ncall: 10664 | eff(%): 13.687 | loglstar: -inf < -30.987 < inf | logz: -35.908 +/- 0.089 | dlogz: 40.387 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1676it [00:01, 1124.73it/s, batch: 0 | bound: 0 | nc: 17 | ncall: 14776 | eff(%): 10.971 | loglstar: -inf < -29.217 < inf | logz: -34.199 +/- 0.089 | dlogz: 38.379 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1799it [00:01, 795.23it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 18273 | eff(%): 9.583 | loglstar: -inf < -27.727 < inf | logz: -32.895 +/- 0.091 | dlogz: 36.828 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1897it [00:01, 779.93it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 20527 | eff(%): 9.022 | loglstar: -inf < -26.604 < inf | logz: -31.974 +/- 0.092 | dlogz: 35.965 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1987it [00:01, 750.08it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 22597 | eff(%): 8.603 | loglstar: -inf < -25.705 < inf | logz: -31.135 +/- 0.093 | dlogz: 50.851 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2070it [00:01, 669.19it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 24506 | eff(%): 8.278 | loglstar: -inf < -24.907 < inf | logz: -30.447 +/- 0.094 | dlogz: 49.996 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2143it [00:01, 650.98it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 26185 | eff(%): 8.031 | loglstar: -inf < -24.089 < inf | logz: -29.819 +/- 0.095 | dlogz: 49.223 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2212it [00:02, 652.10it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 27772 | eff(%): 7.824 | loglstar: -inf < -23.218 < inf | logz: -29.179 +/- 0.097 | dlogz: 48.446 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2282it [00:02, 660.23it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 29382 | eff(%): 7.637 | loglstar: -inf < -22.252 < inf | logz: -28.474 +/- 0.099 | dlogz: 47.602 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2354it [00:02, 671.35it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 31038 | eff(%): 7.464 | loglstar: -inf < -21.378 < inf | logz: -27.729 +/- 0.101 | dlogz: 46.713 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2425it [00:02, 680.26it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 32671 | eff(%): 7.311 | loglstar: -inf < -20.532 < inf | logz: -26.977 +/- 0.103 | dlogz: 45.819 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2497it [00:02, 686.25it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 34327 | eff(%): 7.170 | loglstar: -inf < -19.566 < inf | logz: -26.217 +/- 0.104 | dlogz: 44.916 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2567it [00:02, 589.05it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 35937 | eff(%): 7.045 | loglstar: -inf < -18.775 < inf | logz: -25.513 +/- 0.105 | dlogz: 44.363 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2637it [00:02, 616.71it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 37547 | eff(%): 6.931 | loglstar: -inf < -17.917 < inf | logz: -24.837 +/- 0.106 | dlogz: 43.548 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2703it [00:02, 628.17it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 39065 | eff(%): 6.832 | loglstar: -inf < -16.883 < inf | logz: -24.090 +/- 0.109 | dlogz: 42.671 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2771it [00:02, 641.35it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 40629 | eff(%): 6.737 | loglstar: -inf < -15.735 < inf | logz: -23.218 +/- 0.111 | dlogz: 41.665 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2837it [00:03, 643.67it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 42147 | eff(%): 6.652 | loglstar: -inf < -14.873 < inf | logz: -22.358 +/- 0.113 | dlogz: 40.672 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2903it [00:03, 633.13it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 43665 | eff(%): 6.573 | loglstar: -inf < -13.934 < inf | logz: -21.514 +/- 0.114 | dlogz: 48.513 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2975it [00:03, 655.67it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 45321 | eff(%): 6.493 | loglstar: -inf < -12.794 < inf | logz: -20.603 +/- 0.115 | dlogz: 47.459 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3042it [00:03, 576.83it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 46862 | eff(%): 6.423 | loglstar: -inf < -11.779 < inf | logz: -19.743 +/- 0.116 | dlogz: 46.466 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3113it [00:03, 610.65it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 48495 | eff(%): 6.354 | loglstar: -inf < -10.743 < inf | logz: -18.827 +/- 0.118 | dlogz: 45.407 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3183it [00:03, 634.06it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 50105 | eff(%): 6.290 | loglstar: -inf < -9.740 < inf | logz: -17.952 +/- 0.119 | dlogz: 44.393 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3254it [00:03, 654.78it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 51738 | eff(%): 6.229 | loglstar: -inf < -8.549 < inf | logz: -17.032 +/- 0.120 | dlogz: 43.332 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3326it [00:03, 672.07it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 53394 | eff(%): 6.171 | loglstar: -inf < -7.750 < inf | logz: -16.161 +/- 0.121 | dlogz: 42.314 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3398it [00:03, 684.17it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 55050 | eff(%): 6.117 | loglstar: -inf < -6.535 < inf | logz: -15.261 +/- 0.122 | dlogz: 41.273 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3470it [00:04, 691.85it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 56706 | eff(%): 6.066 | loglstar: -inf < -5.428 < inf | logz: -14.258 +/- 0.124 | dlogz: 40.126 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3540it [00:04, 587.75it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 58316 | eff(%): 6.019 | loglstar: -inf < -4.327 < inf | logz: -13.300 +/- 0.125 | dlogz: 39.028 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3602it [00:04, 536.84it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 59742 | eff(%): 5.979 | loglstar: -inf < -3.384 < inf | logz: -12.532 +/- 0.126 | dlogz: 46.573 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3660it [00:04, 544.42it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 61076 | eff(%): 5.944 | loglstar: -inf < -2.513 < inf | logz: -11.729 +/- 0.127 | dlogz: 45.654 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3730it [00:04, 584.00it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 62686 | eff(%): 5.903 | loglstar: -inf < -1.720 < inf | logz: -10.890 +/- 0.127 | dlogz: 44.672 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3801it [00:04, 616.96it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 64319 | eff(%): 5.864 | loglstar: -inf < -0.851 < inf | logz: -10.111 +/- 0.128 | dlogz: 43.751 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3872it [00:04, 642.77it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 65952 | eff(%): 5.827 | loglstar: -inf < 0.267 < inf | logz: -9.318 +/- 0.129 | dlogz: 42.817 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3943it [00:04, 661.17it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 67585 | eff(%): 5.791 | loglstar: -inf < 1.483 < inf | logz: -8.389 +/- 0.131 | dlogz: 41.749 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4011it [00:04, 581.89it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 69149 | eff(%): 5.759 | loglstar: -inf < 2.214 < inf | logz: -7.530 +/- 0.132 | dlogz: 40.751 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4078it [00:05, 604.13it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 70690 | eff(%): 5.728 | loglstar: -inf < 3.040 < inf | logz: -6.799 +/- 0.132 | dlogz: 39.885 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4149it [00:05, 632.11it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 72323 | eff(%): 5.697 | loglstar: -inf < 3.960 < inf | logz: -6.038 +/- 0.133 | dlogz: 38.983 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4219it [00:05, 650.93it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 73933 | eff(%): 5.668 | loglstar: -inf < 4.838 < inf | logz: -5.261 +/- 0.134 | dlogz: 38.066 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4290it [00:05, 666.51it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 75566 | eff(%): 5.640 | loglstar: -inf < 5.850 < inf | logz: -4.504 +/- 0.135 | dlogz: 37.168 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4358it [00:05, 583.85it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 77130 | eff(%): 5.614 | loglstar: -inf < 7.142 < inf | logz: -3.604 +/- 0.137 | dlogz: 37.669 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4429it [00:05, 616.08it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 78763 | eff(%): 5.588 | loglstar: -inf < 8.518 < inf | logz: -2.461 +/- 0.139 | dlogz: 36.385 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4493it [00:05, 609.07it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 80235 | eff(%): 5.565 | loglstar: -inf < 9.336 < inf | logz: -1.541 +/- 0.140 | dlogz: 35.334 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4556it [00:05, 604.91it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 81684 | eff(%): 5.544 | loglstar: -inf < 10.380 < inf | logz: -0.635 +/- 0.141 | dlogz: 37.188 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4625it [00:05, 623.93it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 83271 | eff(%): 5.521 | loglstar: -inf < 11.453 < inf | logz: 0.281 +/- 0.142 | dlogz: 36.135 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4695it [00:06, 644.85it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 84881 | eff(%): 5.499 | loglstar: -inf < 12.701 < inf | logz: 1.331 +/- 0.143 | dlogz: 34.945 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4767it [00:06, 664.54it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 86537 | eff(%): 5.477 | loglstar: -inf < 13.835 < inf | logz: 2.376 +/- 0.144 | dlogz: 33.756 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4838it [00:06, 674.60it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 88170 | eff(%): 5.456 | loglstar: -inf < 14.914 < inf | logz: 3.284 +/- 0.144 | dlogz: 32.705 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4906it [00:06, 507.65it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 89734 | eff(%): 5.437 | loglstar: -inf < 16.013 < inf | logz: 4.240 +/- 0.145 | dlogz: 31.614 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4964it [00:06, 520.85it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 91068 | eff(%): 5.421 | loglstar: -inf < 16.922 < inf | logz: 5.083 +/- 0.146 | dlogz: 30.655 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5034it [00:06, 565.91it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 92678 | eff(%): 5.403 | loglstar: -inf < 18.064 < inf | logz: 6.043 +/- 0.147 | dlogz: 29.555 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5104it [00:06, 600.78it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 94288 | eff(%): 5.385 | loglstar: -inf < 19.005 < inf | logz: 6.982 +/- 0.148 | dlogz: 28.475 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5168it [00:06, 597.82it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 95760 | eff(%): 5.369 | loglstar: -inf < 20.072 < inf | logz: 7.825 +/- 0.149 | dlogz: 27.505 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5240it [00:06, 629.31it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 97416 | eff(%): 5.352 | loglstar: -inf < 21.134 < inf | logz: 8.783 +/- 0.150 | dlogz: 26.694 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5311it [00:07, 651.40it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 99049 | eff(%): 5.335 | loglstar: -inf < 22.272 < inf | logz: 9.727 +/- 0.151 | dlogz: 25.610 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5383it [00:07, 668.55it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 100705 | eff(%): 5.319 | loglstar: -inf < 23.196 < inf | logz: 10.650 +/- 0.151 | dlogz: 24.541 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5451it [00:07, 585.43it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 102269 | eff(%): 5.304 | loglstar: -inf < 24.266 < inf | logz: 11.491 +/- 0.152 | dlogz: 23.565 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5523it [00:07, 619.36it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 103925 | eff(%): 5.289 | loglstar: -inf < 25.468 < inf | logz: 12.498 +/- 0.154 | dlogz: 22.415 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5594it [00:07, 642.92it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 105558 | eff(%): 5.274 | loglstar: -inf < 26.447 < inf | logz: 13.405 +/- 0.154 | dlogz: 21.380 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5665it [00:07, 660.67it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 107191 | eff(%): 5.260 | loglstar: -inf < 27.354 < inf | logz: 14.249 +/- 0.155 | dlogz: 20.393 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5736it [00:07, 673.06it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 108824 | eff(%): 5.247 | loglstar: -inf < 28.357 < inf | logz: 15.115 +/- 0.156 | dlogz: 19.385 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5807it [00:07, 683.47it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 110457 | eff(%): 5.234 | loglstar: -inf < 29.437 < inf | logz: 15.990 +/- 0.157 | dlogz: 18.369 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5877it [00:07, 679.50it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 112067 | eff(%): 5.221 | loglstar: -inf < 30.544 < inf | logz: 16.938 +/- 0.158 | dlogz: 17.282 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5946it [00:08, 587.03it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 113654 | eff(%): 5.209 | loglstar: -inf < 31.421 < inf | logz: 17.743 +/- 0.158 | dlogz: 16.338 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6017it [00:08, 617.89it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 115287 | eff(%): 5.197 | loglstar: -inf < 32.466 < inf | logz: 18.632 +/- 0.159 | dlogz: 15.307 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6089it [00:08, 643.47it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 116943 | eff(%): 5.185 | loglstar: -inf < 33.397 < inf | logz: 19.496 +/- 0.160 | dlogz: 14.299 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6160it [00:08, 661.08it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 118576 | eff(%): 5.173 | loglstar: -inf < 34.031 < inf | logz: 20.221 +/- 0.160 | dlogz: 13.871 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6231it [00:08, 674.78it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 120209 | eff(%): 5.162 | loglstar: -inf < 34.666 < inf | logz: 20.822 +/- 0.160 | dlogz: 13.128 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6302it [00:08, 684.07it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 121842 | eff(%): 5.151 | loglstar: -inf < 35.517 < inf | logz: 21.429 +/- 0.161 | dlogz: 12.380 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6373it [00:08, 689.65it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 123475 | eff(%): 5.141 | loglstar: -inf < 36.324 < inf | logz: 22.091 +/- 0.161 | dlogz: 11.575 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6443it [00:08, 578.47it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 125085 | eff(%): 5.130 | loglstar: -inf < 36.913 < inf | logz: 22.670 +/- 0.162 | dlogz: 10.855 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6505it [00:08, 577.83it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 126511 | eff(%): 5.122 | loglstar: -inf < 37.499 < inf | logz: 23.150 +/- 0.162 | dlogz: 10.251 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6570it [00:09, 597.07it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 128006 | eff(%): 5.113 | loglstar: -inf < 38.107 < inf | logz: 23.653 +/- 0.163 | dlogz: 9.619 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6632it [00:09, 593.91it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 129432 | eff(%): 5.104 | loglstar: -inf < 38.668 < inf | logz: 24.122 +/- 0.163 | dlogz: 9.026 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6704it [00:09, 626.94it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 131088 | eff(%): 5.095 | loglstar: -inf < 39.300 < inf | logz: 24.639 +/- 0.164 | dlogz: 8.364 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6775it [00:09, 649.68it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 132721 | eff(%): 5.086 | loglstar: -inf < 39.898 < inf | logz: 25.138 +/- 0.165 | dlogz: 7.723 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6841it [00:09, 645.36it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 134239 | eff(%): 5.077 | loglstar: -inf < 40.312 < inf | logz: 25.555 +/- 0.165 | dlogz: 7.174 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6907it [00:09, 563.90it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 135757 | eff(%): 5.069 | loglstar: -inf < 40.758 < inf | logz: 25.937 +/- 0.165 | dlogz: 6.661 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6972it [00:09, 585.46it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 137252 | eff(%): 5.061 | loglstar: -inf < 41.253 < inf | logz: 26.302 +/- 0.166 | dlogz: 6.167 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7044it [00:09, 621.27it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 138908 | eff(%): 5.053 | loglstar: -inf < 41.763 < inf | logz: 26.696 +/- 0.166 | dlogz: 5.630 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7115it [00:09, 645.73it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 140541 | eff(%): 5.045 | loglstar: -inf < 42.094 < inf | logz: 27.042 +/- 0.167 | dlogz: 5.144 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7187it [00:10, 665.80it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 142197 | eff(%): 5.037 | loglstar: -inf < 42.438 < inf | logz: 27.352 +/- 0.167 | dlogz: 4.693 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7259it [00:10, 679.32it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 143853 | eff(%): 5.029 | loglstar: -inf < 42.771 < inf | logz: 27.635 +/- 0.167 | dlogz: 4.270 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7330it [00:10, 688.17it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 145486 | eff(%): 5.021 | loglstar: -inf < 43.043 < inf | logz: 27.886 +/- 0.167 | dlogz: 3.884 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7400it [00:10, 682.84it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 147096 | eff(%): 5.014 | loglstar: -inf < 43.342 < inf | logz: 28.114 +/- 0.168 | dlogz: 3.525 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7469it [00:10, 588.58it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 148683 | eff(%): 5.007 | loglstar: -inf < 43.560 < inf | logz: 28.318 +/- 0.168 | dlogz: 3.229 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7531it [00:10, 593.04it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 150109 | eff(%): 5.000 | loglstar: -inf < 43.785 < inf | logz: 28.482 +/- 0.168 | dlogz: 2.953 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7600it [00:10, 618.04it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 151696 | eff(%): 4.994 | loglstar: -inf < 43.949 < inf | logz: 28.650 +/- 0.168 | dlogz: 2.666 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7672it [00:10, 643.92it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 153352 | eff(%): 4.987 | loglstar: -inf < 44.152 < inf | logz: 28.804 +/- 0.168 | dlogz: 2.392 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7744it [00:10, 663.76it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 155008 | eff(%): 4.980 | loglstar: -inf < 44.364 < inf | logz: 28.945 +/- 0.168 | dlogz: 2.137 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7816it [00:11, 677.84it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 156664 | eff(%): 4.973 | loglstar: -inf < 44.536 < inf | logz: 29.075 +/- 0.169 | dlogz: 1.899 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7885it [00:11, 660.55it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 158251 | eff(%): 4.967 | loglstar: -inf < 44.702 < inf | logz: 29.188 +/- 0.169 | dlogz: 1.689 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7952it [00:11, 581.34it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 159792 | eff(%): 4.961 | loglstar: -inf < 44.849 < inf | logz: 29.289 +/- 0.169 | dlogz: 1.502 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8024it [00:11, 616.06it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 161448 | eff(%): 4.955 | loglstar: -inf < 44.962 < inf | logz: 29.386 +/- 0.169 | dlogz: 1.320 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8093it [00:11, 634.41it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 163035 | eff(%): 4.949 | loglstar: -inf < 45.096 < inf | logz: 29.470 +/- 0.169 | dlogz: 1.162 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8165it [00:11, 657.87it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 164691 | eff(%): 4.943 | loglstar: -inf < 45.190 < inf | logz: 29.549 +/- 0.169 | dlogz: 1.015 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8236it [00:11, 671.75it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 166324 | eff(%): 4.937 | loglstar: -inf < 45.312 < inf | logz: 29.618 +/- 0.169 | dlogz: 0.885 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8308it [00:11, 683.62it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 167980 | eff(%): 4.931 | loglstar: -inf < 45.410 < inf | logz: 29.682 +/- 0.170 | dlogz: 0.781 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8380it [00:11, 692.76it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 169636 | eff(%): 4.925 | loglstar: -inf < 45.512 < inf | logz: 29.740 +/- 0.170 | dlogz: 0.677 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8450it [00:12, 598.22it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 171246 | eff(%): 4.920 | loglstar: -inf < 45.596 < inf | logz: 29.790 +/- 0.170 | dlogz: 0.588 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8517it [00:12, 615.04it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 172787 | eff(%): 4.915 | loglstar: -inf < 45.656 < inf | logz: 29.833 +/- 0.170 | dlogz: 0.513 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8587it [00:12, 636.58it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 174397 | eff(%): 4.910 | loglstar: -inf < 45.730 < inf | logz: 29.873 +/- 0.170 | dlogz: 0.445 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8653it [00:12, 612.89it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 175915 | eff(%): 4.905 | loglstar: -inf < 45.790 < inf | logz: 29.907 +/- 0.170 | dlogz: 0.388 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8725it [00:12, 640.12it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 177571 | eff(%): 4.900 | loglstar: -inf < 45.863 < inf | logz: 29.941 +/- 0.170 | dlogz: 0.335 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8797it [00:12, 661.06it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 179227 | eff(%): 4.895 | loglstar: -inf < 45.915 < inf | logz: 29.971 +/- 0.170 | dlogz: 0.289 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8865it [00:12, 665.61it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 180791 | eff(%): 4.890 | loglstar: -inf < 45.949 < inf | logz: 29.996 +/- 0.170 | dlogz: 0.251 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8933it [00:12, 587.41it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 182355 | eff(%): 4.885 | loglstar: -inf < 45.991 < inf | logz: 30.018 +/- 0.170 | dlogz: 0.219 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8999it [00:12, 606.52it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 183873 | eff(%): 4.881 | loglstar: -inf < 46.031 < inf | logz: 30.037 +/- 0.170 | dlogz: 0.191 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9071it [00:13, 636.59it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 185529 | eff(%): 4.876 | loglstar: -inf < 46.071 < inf | logz: 30.056 +/- 0.170 | dlogz: 0.165 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9137it [00:13, 635.37it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 187047 | eff(%): 4.872 | loglstar: -inf < 46.098 < inf | logz: 30.071 +/- 0.171 | dlogz: 0.144 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9205it [00:13, 648.07it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 188611 | eff(%): 4.868 | loglstar: -inf < 46.127 < inf | logz: 30.084 +/- 0.171 | dlogz: 0.125 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9274it [00:13, 659.86it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 190198 | eff(%): 4.863 | loglstar: -inf < 46.157 < inf | logz: 30.097 +/- 0.171 | dlogz: 0.109 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9341it [00:13, 651.05it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 191739 | eff(%): 4.859 | loglstar: -inf < 46.178 < inf | logz: 30.107 +/- 0.171 | dlogz: 0.095 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9407it [00:13, 565.93it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 193257 | eff(%): 4.855 | loglstar: -inf < 46.199 < inf | logz: 30.117 +/- 0.171 | dlogz: 0.083 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9471it [00:13, 585.10it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 194729 | eff(%): 4.851 | loglstar: -inf < 46.224 < inf | logz: 30.125 +/- 0.171 | dlogz: 0.073 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9532it [00:13, 560.24it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 196132 | eff(%): 4.848 | loglstar: -inf < 46.241 < inf | logz: 30.132 +/- 0.171 | dlogz: 0.064 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9590it [00:13, 560.85it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 197466 | eff(%): 4.844 | loglstar: -inf < 46.259 < inf | logz: 30.137 +/- 0.171 | dlogz: 0.057 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9654it [00:13, 582.31it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 198938 | eff(%): 4.841 | loglstar: -inf < 46.277 < inf | logz: 30.143 +/- 0.171 | dlogz: 0.050 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9714it [00:14, 585.27it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 200318 | eff(%): 4.837 | loglstar: -inf < 46.291 < inf | logz: 30.148 +/- 0.171 | dlogz: 0.044 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9786it [00:14, 621.54it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 201974 | eff(%): 4.833 | loglstar: -inf < 46.308 < inf | logz: 30.153 +/- 0.171 | dlogz: 0.038 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9857it [00:14, 646.94it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 203607 | eff(%): 4.829 | loglstar: -inf < 46.324 < inf | logz: 30.158 +/- 0.171 | dlogz: 0.033 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9923it [00:14, 577.30it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 205125 | eff(%): 4.826 | loglstar: -inf < 46.334 < inf | logz: 30.161 +/- 0.171 | dlogz: 0.029 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9995it [00:14, 613.66it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 206781 | eff(%): 4.822 | loglstar: -inf < 46.344 < inf | logz: 30.165 +/- 0.171 | dlogz: 0.025 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10067it [00:14, 639.65it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 208437 | eff(%): 4.818 | loglstar: -inf < 46.355 < inf | logz: 30.168 +/- 0.171 | dlogz: 0.022 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10138it [00:14, 659.15it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 210070 | eff(%): 4.815 | loglstar: -inf < 46.364 < inf | logz: 30.170 +/- 0.171 | dlogz: 0.019 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10210it [00:14, 675.58it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 211726 | eff(%): 4.811 | loglstar: -inf < 46.372 < inf | logz: 30.173 +/- 0.171 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10282it [00:14, 685.49it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 213382 | eff(%): 4.807 | loglstar: -inf < 46.379 < inf | logz: 30.175 +/- 0.171 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10352it [00:15, 654.36it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 214992 | eff(%): 4.804 | loglstar: -inf < 46.387 < inf | logz: 30.176 +/- 0.171 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10419it [00:15, 579.91it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 216533 | eff(%): 4.801 | loglstar: -inf < 46.394 < inf | logz: 30.178 +/- 0.171 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10729it [00:15, 1242.74it/s, batch: 0 | bound: 21 | nc: 1 | ncall: 217591 | eff(%): 4.926 | loglstar: -inf < 46.423 < inf | logz: 30.184 +/- 0.171 | dlogz: 0.004 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10953it [00:16, 579.37it/s, batch: 1 | bound: 0 | nc: 23 | ncall: 217815 | eff(%): 5.029 | loglstar: 43.735 < 43.941 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11058it [00:16, 596.50it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 220230 | eff(%): 4.772 | loglstar: 43.735 < 44.094 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11151it [00:16, 611.97it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 222369 | eff(%): 4.768 | loglstar: 43.735 < 44.376 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11237it [00:16, 629.19it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 224347 | eff(%): 4.765 | loglstar: 43.735 < 44.537 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11318it [00:16, 638.47it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 226210 | eff(%): 4.761 | loglstar: 43.735 < 44.752 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11395it [00:16, 651.29it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 227981 | eff(%): 4.758 | loglstar: 43.735 < 44.932 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11470it [00:16, 573.18it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 229706 | eff(%): 4.755 | loglstar: 43.735 < 45.084 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11535it [00:16, 583.94it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 231201 | eff(%): 4.753 | loglstar: 43.735 < 45.178 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11600it [00:17, 585.18it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 232696 | eff(%): 4.750 | loglstar: 43.735 < 45.277 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11669it [00:17, 610.50it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 234283 | eff(%): 4.748 | loglstar: 43.735 < 45.373 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11740it [00:17, 636.17it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 235916 | eff(%): 4.745 | loglstar: 43.735 < 45.476 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11812it [00:17, 658.56it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 237550 | eff(%): 4.743 | loglstar: 43.735 < 45.552 < 45.548 | logz: 30.188 +/- 0.176 | stop: 4.003] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12311it [00:18, 608.08it/s, batch: 2 | bound: 0 | nc: 23 | ncall: 249049 | eff(%): 4.943 | loglstar: 43.161 < 44.568 < 43.736 | logz: 30.209 +/- 0.145 | stop: 2.409]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12377it [00:18, 612.42it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 250567 | eff(%): 4.723 | loglstar: 43.161 < 43.462 < 43.736 | logz: 30.209 +/- 0.145 | stop: 2.409]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12443it [00:18, 613.64it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 252085 | eff(%): 4.721 | loglstar: 43.161 < 43.699 < 43.736 | logz: 30.209 +/- 0.145 | stop: 2.409]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12840it [00:18, 1170.66it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 252746 | eff(%): 4.866 | loglstar: 43.161 < 45.457 < 43.736 | logz: 30.209 +/- 0.145 | stop: 2.409]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13005it [00:19, 515.34it/s, batch: 3 | bound: 1 | nc: 23 | ncall: 265011 | eff(%): 4.703 | loglstar: 42.683 < 42.868 < 43.169 | logz: 30.224 +/- 0.136 | stop: 2.014]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13126it [00:19, 571.37it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 266672 | eff(%): 4.720 | loglstar: 42.683 < 43.399 < 43.169 | logz: 30.224 +/- 0.136 | stop: 2.014] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13575it [00:20, 547.25it/s, batch: 4 | bound: 0 | nc: 23 | ncall: 278121 | eff(%): 4.881 | loglstar: 42.236 < 46.087 < 42.684 | logz: 30.223 +/- 0.130 | stop: 1.781]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13671it [00:20, 566.07it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 280065 | eff(%): 4.689 | loglstar: 42.236 < 42.749 < 42.684 | logz: 30.223 +/- 0.130 | stop: 1.781] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14159it [00:21, 562.96it/s, batch: 5 | bound: 0 | nc: 23 | ncall: 291553 | eff(%): 4.856 | loglstar: 41.771 < 42.192 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14238it [00:21, 571.06it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 293370 | eff(%): 4.670 | loglstar: 41.771 < 42.162 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14313it [00:21, 584.34it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 295095 | eff(%): 4.668 | loglstar: 41.771 < 42.486 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14387it [00:21, 598.82it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 296797 | eff(%): 4.667 | loglstar: 41.771 < 42.829 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14460it [00:21, 611.50it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 298476 | eff(%): 4.665 | loglstar: 41.771 < 43.117 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14531it [00:21, 610.13it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 300109 | eff(%): 4.663 | loglstar: 41.771 < 43.372 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14599it [00:22, 608.75it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 301673 | eff(%): 4.662 | loglstar: 41.771 < 43.609 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14665it [00:22, 558.09it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 303191 | eff(%): 4.660 | loglstar: 41.771 < 43.853 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14729it [00:22, 575.25it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 304663 | eff(%): 4.659 | loglstar: 41.771 < 44.067 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14790it [00:22, 579.36it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 306066 | eff(%): 4.657 | loglstar: 41.771 < 44.272 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14859it [00:22, 606.15it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 307653 | eff(%): 4.656 | loglstar: 41.771 < 44.463 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14928it [00:22, 627.46it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 309240 | eff(%): 4.654 | loglstar: 41.771 < 44.590 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14999it [00:22, 646.91it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 310873 | eff(%): 4.653 | loglstar: 41.771 < 44.761 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15070it [00:22, 662.71it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 312506 | eff(%): 4.651 | loglstar: 41.771 < 44.927 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15138it [00:22, 642.48it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 314070 | eff(%): 4.650 | loglstar: 41.771 < 45.048 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15204it [00:23, 561.81it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 315588 | eff(%): 4.648 | loglstar: 41.771 < 45.168 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15266it [00:23, 575.66it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 317014 | eff(%): 4.647 | loglstar: 41.771 < 45.272 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15334it [00:23, 603.65it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 318578 | eff(%): 4.646 | loglstar: 41.771 < 45.378 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15406it [00:23, 633.60it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 320234 | eff(%): 4.644 | loglstar: 41.771 < 45.473 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15477it [00:23, 651.06it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 321867 | eff(%): 4.643 | loglstar: 41.771 < 45.552 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15544it [00:23, 654.99it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 323408 | eff(%): 4.641 | loglstar: 41.771 < 45.624 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15616it [00:23, 671.23it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 325064 | eff(%): 4.640 | loglstar: 41.771 < 45.695 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15684it [00:23, 562.04it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 326628 | eff(%): 4.638 | loglstar: 41.771 < 45.758 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15755it [00:23, 600.03it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 328261 | eff(%): 4.637 | loglstar: 41.771 < 45.815 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15820it [00:24, 612.40it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 329756 | eff(%): 4.636 | loglstar: 41.771 < 45.868 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15891it [00:24, 638.07it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 331389 | eff(%): 4.634 | loglstar: 41.771 < 45.917 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15962it [00:24, 656.97it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 333022 | eff(%): 4.633 | loglstar: 41.771 < 45.969 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16438it [00:24, 1837.28it/s, batch: 5 | bound: 4 | nc: 1 | ncall: 333630 | eff(%): 4.769 | loglstar: 41.771 < 46.405 < 45.971 | logz: 30.227 +/- 0.126 | stop: 1.631]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16628it [00:25, 492.33it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 348340 | eff(%): 4.621 | loglstar: 41.399 < 42.260 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16767it [00:25, 531.07it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 351537 | eff(%): 4.619 | loglstar: 41.399 < 42.970 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16885it [00:25, 553.48it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 354251 | eff(%): 4.617 | loglstar: 41.399 < 43.435 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16988it [00:25, 535.63it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 356620 | eff(%): 4.615 | loglstar: 41.399 < 43.739 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17074it [00:26, 563.58it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 358598 | eff(%): 4.613 | loglstar: 41.399 < 44.038 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17156it [00:26, 562.54it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 360484 | eff(%): 4.612 | loglstar: 41.399 < 44.266 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17230it [00:26, 567.76it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 362186 | eff(%): 4.611 | loglstar: 41.399 < 44.462 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17301it [00:26, 594.56it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 363819 | eff(%): 4.610 | loglstar: 41.399 < 44.613 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17373it [00:26, 620.16it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 365475 | eff(%): 4.609 | loglstar: 41.399 < 44.780 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17444it [00:26, 633.90it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 367108 | eff(%): 4.607 | loglstar: 41.399 < 44.940 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17514it [00:26, 575.49it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 368718 | eff(%): 4.606 | loglstar: 41.399 < 45.081 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17577it [00:26, 585.24it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 370167 | eff(%): 4.605 | loglstar: 41.399 < 45.176 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17648it [00:27, 616.11it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 371800 | eff(%): 4.604 | loglstar: 41.399 < 45.305 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17717it [00:27, 635.79it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 373387 | eff(%): 4.603 | loglstar: 41.399 < 45.412 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17783it [00:27, 639.30it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 374905 | eff(%): 4.602 | loglstar: 41.399 < 45.488 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18203it [00:27, 1641.45it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 375611 | eff(%): 4.707 | loglstar: 41.399 < 46.170 < 45.499 | logz: 30.228 +/- 0.110 | stop: 1.177]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18296it [00:27, 665.05it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 375704 | eff(%): 4.731 | loglstar: 41.399 < 46.446 < 45.499 | logz: 30.228 +/- 0.110 | stop: 0.961] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "269it [00:00, 2682.19it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 350 | eff(%): 31.647 | loglstar: -inf < -23969.551 < inf | logz: -23976.996 +/- 0.122 | dlogz: 24297.567 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "538it [00:00, 2375.09it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 915 | eff(%): 38.021 | loglstar: -inf < -918.222 < inf | logz: -925.131 +/- 0.115 | dlogz: 910.278 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "778it [00:00, 2338.22it/s, batch: 0 | bound: 0 | nc: 7 | ncall: 1760 | eff(%): 34.425 | loglstar: -inf < -128.526 < inf | logz: -136.388 +/- 0.117 | dlogz: 121.109 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1013it [00:00, 2226.32it/s, batch: 0 | bound: 0 | nc: 3 | ncall: 3015 | eff(%): 28.819 | loglstar: -inf < -47.565 < inf | logz: -53.474 +/- 0.100 | dlogz: 36.753 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1237it [00:00, 2004.38it/s, batch: 0 | bound: 0 | nc: 7 | ncall: 4842 | eff(%): 23.156 | loglstar: -inf < -39.788 < inf | logz: -44.538 +/- 0.087 | dlogz: 28.725 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1441it [00:00, 1653.26it/s, batch: 0 | bound: 0 | nc: 6 | ncall: 7127 | eff(%): 18.893 | loglstar: -inf < -36.436 < inf | logz: -41.168 +/- 0.087 | dlogz: 24.941 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1616it [00:00, 1450.63it/s, batch: 0 | bound: 0 | nc: 7 | ncall: 10165 | eff(%): 15.152 | loglstar: -inf < -34.396 < inf | logz: -39.251 +/- 0.087 | dlogz: 22.672 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1770it [00:01, 1068.05it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 13923 | eff(%): 12.272 | loglstar: -inf < -32.837 < inf | logz: -37.811 +/- 0.088 | dlogz: 20.923 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1894it [00:01, 882.49it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 18753 | eff(%): 9.837 | loglstar: -inf < -31.716 < inf | logz: -36.841 +/- 0.089 | dlogz: 19.704 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1997it [00:01, 848.32it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 21122 | eff(%): 9.236 | loglstar: -inf < -30.549 < inf | logz: -35.996 +/- 0.091 | dlogz: 18.654 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2091it [00:01, 823.74it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 23284 | eff(%): 8.792 | loglstar: -inf < -29.649 < inf | logz: -35.205 +/- 0.093 | dlogz: 17.675 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2179it [00:01, 804.13it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 25308 | eff(%): 8.443 | loglstar: -inf < -28.774 < inf | logz: -34.541 +/- 0.095 | dlogz: 16.836 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2263it [00:01, 789.20it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 27240 | eff(%): 8.158 | loglstar: -inf < -27.893 < inf | logz: -33.853 +/- 0.097 | dlogz: 15.979 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2344it [00:01, 775.40it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 29103 | eff(%): 7.918 | loglstar: -inf < -27.070 < inf | logz: -33.187 +/- 0.098 | dlogz: 15.581 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2423it [00:02, 677.89it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 30920 | eff(%): 7.712 | loglstar: -inf < -26.512 < inf | logz: -32.606 +/- 0.099 | dlogz: 14.841 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2497it [00:02, 691.67it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 32622 | eff(%): 7.539 | loglstar: -inf < -25.946 < inf | logz: -32.110 +/- 0.100 | dlogz: 14.197 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2572it [00:02, 705.06it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 34347 | eff(%): 7.381 | loglstar: -inf < -25.196 < inf | logz: -31.599 +/- 0.101 | dlogz: 13.537 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2645it [00:02, 709.78it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 36026 | eff(%): 7.241 | loglstar: -inf < -24.613 < inf | logz: -31.099 +/- 0.102 | dlogz: 12.891 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2720it [00:02, 719.41it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 37751 | eff(%): 7.111 | loglstar: -inf < -24.102 < inf | logz: -30.620 +/- 0.103 | dlogz: 12.261 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2795it [00:02, 726.62it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 39476 | eff(%): 6.992 | loglstar: -inf < -23.629 < inf | logz: -30.206 +/- 0.104 | dlogz: 11.697 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2869it [00:02, 729.11it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 41178 | eff(%): 6.884 | loglstar: -inf < -23.115 < inf | logz: -29.812 +/- 0.105 | dlogz: 11.155 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2943it [00:02, 634.18it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 42880 | eff(%): 6.784 | loglstar: -inf < -22.600 < inf | logz: -29.435 +/- 0.105 | dlogz: 11.659 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3015it [00:03, 655.68it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 44536 | eff(%): 6.695 | loglstar: -inf < -22.093 < inf | logz: -29.061 +/- 0.106 | dlogz: 11.141 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3085it [00:03, 664.77it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 46146 | eff(%): 6.614 | loglstar: -inf < -21.605 < inf | logz: -28.713 +/- 0.107 | dlogz: 10.653 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3153it [00:03, 665.01it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 47710 | eff(%): 6.540 | loglstar: -inf < -21.210 < inf | logz: -28.381 +/- 0.108 | dlogz: 10.185 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3227it [00:03, 685.35it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 49412 | eff(%): 6.465 | loglstar: -inf < -20.730 < inf | logz: -28.022 +/- 0.109 | dlogz: 9.678 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3299it [00:03, 694.67it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 51068 | eff(%): 6.397 | loglstar: -inf < -20.353 < inf | logz: -27.705 +/- 0.110 | dlogz: 9.217 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3371it [00:03, 598.02it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 52724 | eff(%): 6.334 | loglstar: -inf < -19.845 < inf | logz: -27.393 +/- 0.111 | dlogz: 8.761 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3440it [00:03, 621.27it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 54311 | eff(%): 6.276 | loglstar: -inf < -19.406 < inf | logz: -27.082 +/- 0.112 | dlogz: 8.312 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3513it [00:03, 650.04it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 55990 | eff(%): 6.219 | loglstar: -inf < -18.952 < inf | logz: -26.764 +/- 0.113 | dlogz: 7.848 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3588it [00:03, 674.00it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 57715 | eff(%): 6.163 | loglstar: -inf < -18.489 < inf | logz: -26.434 +/- 0.114 | dlogz: 7.369 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3663it [00:03, 694.51it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 59440 | eff(%): 6.111 | loglstar: -inf < -18.143 < inf | logz: -26.130 +/- 0.115 | dlogz: 6.915 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3738it [00:04, 708.30it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 61165 | eff(%): 6.062 | loglstar: -inf < -17.834 < inf | logz: -25.856 +/- 0.116 | dlogz: 6.491 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3810it [00:04, 618.91it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 62821 | eff(%): 6.017 | loglstar: -inf < -17.524 < inf | logz: -25.617 +/- 0.117 | dlogz: 6.109 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3886it [00:04, 655.17it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 64569 | eff(%): 5.972 | loglstar: -inf < -17.201 < inf | logz: -25.378 +/- 0.117 | dlogz: 5.719 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3962it [00:04, 683.39it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 66317 | eff(%): 5.930 | loglstar: -inf < -16.892 < inf | logz: -25.150 +/- 0.118 | dlogz: 5.340 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4033it [00:04, 605.12it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 67950 | eff(%): 5.892 | loglstar: -inf < -16.613 < inf | logz: -24.957 +/- 0.118 | dlogz: 5.007 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4097it [00:04, 610.15it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 69422 | eff(%): 5.859 | loglstar: -inf < -16.342 < inf | logz: -24.789 +/- 0.119 | dlogz: 4.713 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4166it [00:04, 630.68it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 71009 | eff(%): 5.826 | loglstar: -inf < -16.111 < inf | logz: -24.615 +/- 0.119 | dlogz: 4.404 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4241it [00:04, 661.51it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 72734 | eff(%): 5.791 | loglstar: -inf < -15.858 < inf | logz: -24.442 +/- 0.120 | dlogz: 4.416 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4317it [00:04, 689.03it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 74482 | eff(%): 5.757 | loglstar: -inf < -15.623 < inf | logz: -24.279 +/- 0.120 | dlogz: 4.106 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4395it [00:05, 712.10it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 76276 | eff(%): 5.724 | loglstar: -inf < -15.389 < inf | logz: -24.124 +/- 0.121 | dlogz: 3.801 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4468it [00:05, 700.02it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 77955 | eff(%): 5.695 | loglstar: -inf < -15.197 < inf | logz: -23.991 +/- 0.121 | dlogz: 3.529 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4539it [00:05, 613.15it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 79588 | eff(%): 5.668 | loglstar: -inf < -15.048 < inf | logz: -23.873 +/- 0.122 | dlogz: 3.814 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4613it [00:05, 644.87it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 81290 | eff(%): 5.640 | loglstar: -inf < -14.805 < inf | logz: -23.759 +/- 0.122 | dlogz: 3.558 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4689it [00:05, 673.27it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 83038 | eff(%): 5.613 | loglstar: -inf < -14.600 < inf | logz: -23.646 +/- 0.123 | dlogz: 3.301 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4758it [00:05, 668.18it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 84625 | eff(%): 5.589 | loglstar: -inf < -14.466 < inf | logz: -23.552 +/- 0.123 | dlogz: 3.079 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4826it [00:05, 656.78it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 86189 | eff(%): 5.567 | loglstar: -inf < -14.335 < inf | logz: -23.466 +/- 0.123 | dlogz: 2.869 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4899it [00:05, 674.83it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 87868 | eff(%): 5.544 | loglstar: -inf < -14.184 < inf | logz: -23.382 +/- 0.124 | dlogz: 2.653 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4976it [00:05, 697.90it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 89639 | eff(%): 5.520 | loglstar: -inf < -14.045 < inf | logz: -23.300 +/- 0.124 | dlogz: 2.436 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5047it [00:06, 568.67it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 91272 | eff(%): 5.499 | loglstar: -inf < -13.933 < inf | logz: -23.233 +/- 0.124 | dlogz: 2.247 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5118it [00:06, 603.87it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 92905 | eff(%): 5.479 | loglstar: -inf < -13.835 < inf | logz: -23.171 +/- 0.125 | dlogz: 2.067 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5187it [00:06, 624.42it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 94492 | eff(%): 5.460 | loglstar: -inf < -13.721 < inf | logz: -23.117 +/- 0.125 | dlogz: 1.901 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5253it [00:06, 605.97it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 96010 | eff(%): 5.443 | loglstar: -inf < -13.643 < inf | logz: -23.069 +/- 0.125 | dlogz: 1.750 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5324it [00:06, 629.65it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 97643 | eff(%): 5.425 | loglstar: -inf < -13.541 < inf | logz: -23.022 +/- 0.125 | dlogz: 1.597 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5400it [00:06, 664.62it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 99391 | eff(%): 5.406 | loglstar: -inf < -13.449 < inf | logz: -22.977 +/- 0.126 | dlogz: 1.443 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5468it [00:06, 666.14it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 100955 | eff(%): 5.390 | loglstar: -inf < -13.374 < inf | logz: -22.940 +/- 0.126 | dlogz: 1.314 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5536it [00:06, 567.94it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 102519 | eff(%): 5.374 | loglstar: -inf < -13.294 < inf | logz: -22.907 +/- 0.126 | dlogz: 1.193 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5610it [00:07, 611.73it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 104221 | eff(%): 5.357 | loglstar: -inf < -13.223 < inf | logz: -22.874 +/- 0.126 | dlogz: 1.071 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5687it [00:07, 651.66it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 105992 | eff(%): 5.340 | loglstar: -inf < -13.149 < inf | logz: -22.844 +/- 0.126 | dlogz: 0.953 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5764it [00:07, 682.79it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 107763 | eff(%): 5.324 | loglstar: -inf < -13.084 < inf | logz: -22.816 +/- 0.126 | dlogz: 0.846 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5839it [00:07, 701.56it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 109488 | eff(%): 5.309 | loglstar: -inf < -13.018 < inf | logz: -22.792 +/- 0.127 | dlogz: 0.751 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5917it [00:07, 721.60it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 111282 | eff(%): 5.293 | loglstar: -inf < -12.946 < inf | logz: -22.770 +/- 0.127 | dlogz: 0.660 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5993it [00:07, 732.58it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 113030 | eff(%): 5.279 | loglstar: -inf < -12.890 < inf | logz: -22.751 +/- 0.127 | dlogz: 0.581 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6068it [00:07, 559.20it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 114755 | eff(%): 5.265 | loglstar: -inf < -12.830 < inf | logz: -22.734 +/- 0.127 | dlogz: 0.511 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6141it [00:07, 599.65it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 116434 | eff(%): 5.252 | loglstar: -inf < -12.771 < inf | logz: -22.719 +/- 0.127 | dlogz: 0.450 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6215it [00:07, 635.29it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 118136 | eff(%): 5.239 | loglstar: -inf < -12.712 < inf | logz: -22.705 +/- 0.127 | dlogz: 0.398 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6289it [00:08, 660.84it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 119838 | eff(%): 5.226 | loglstar: -inf < -12.649 < inf | logz: -22.692 +/- 0.127 | dlogz: 0.348 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6359it [00:08, 647.00it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 121448 | eff(%): 5.215 | loglstar: -inf < -12.597 < inf | logz: -22.682 +/- 0.127 | dlogz: 0.306 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6432it [00:08, 668.94it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 123127 | eff(%): 5.203 | loglstar: -inf < -12.547 < inf | logz: -22.672 +/- 0.127 | dlogz: 0.267 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6505it [00:08, 684.09it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 124806 | eff(%): 5.191 | loglstar: -inf < -12.497 < inf | logz: -22.663 +/- 0.127 | dlogz: 0.233 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6575it [00:08, 599.61it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 126416 | eff(%): 5.181 | loglstar: -inf < -12.436 < inf | logz: -22.655 +/- 0.128 | dlogz: 0.204 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6648it [00:08, 631.85it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 128095 | eff(%): 5.170 | loglstar: -inf < -12.365 < inf | logz: -22.647 +/- 0.128 | dlogz: 0.178 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6720it [00:08, 653.31it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 129751 | eff(%): 5.159 | loglstar: -inf < -12.272 < inf | logz: -22.640 +/- 0.128 | dlogz: 0.154 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6793it [00:08, 672.23it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 131430 | eff(%): 5.149 | loglstar: -inf < -12.191 < inf | logz: -22.633 +/- 0.128 | dlogz: 0.134 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6866it [00:08, 686.32it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 133109 | eff(%): 5.139 | loglstar: -inf < -12.119 < inf | logz: -22.627 +/- 0.128 | dlogz: 0.116 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6940it [00:09, 700.29it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 134811 | eff(%): 5.129 | loglstar: -inf < -12.057 < inf | logz: -22.622 +/- 0.128 | dlogz: 0.100 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7013it [00:09, 706.40it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 136490 | eff(%): 5.119 | loglstar: -inf < -11.996 < inf | logz: -22.616 +/- 0.128 | dlogz: 0.087 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7085it [00:09, 614.21it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 138146 | eff(%): 5.110 | loglstar: -inf < -11.937 < inf | logz: -22.612 +/- 0.128 | dlogz: 0.076 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7160it [00:09, 650.23it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 139871 | eff(%): 5.101 | loglstar: -inf < -11.890 < inf | logz: -22.607 +/- 0.128 | dlogz: 0.065 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7228it [00:09, 651.42it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 141435 | eff(%): 5.092 | loglstar: -inf < -11.849 < inf | logz: -22.604 +/- 0.128 | dlogz: 0.057 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7304it [00:09, 679.21it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 143183 | eff(%): 5.083 | loglstar: -inf < -11.791 < inf | logz: -22.600 +/- 0.128 | dlogz: 0.049 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7379it [00:09, 697.94it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 144908 | eff(%): 5.075 | loglstar: -inf < -11.748 < inf | logz: -22.597 +/- 0.128 | dlogz: 0.042 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7452it [00:09, 705.70it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 146587 | eff(%): 5.066 | loglstar: -inf < -11.710 < inf | logz: -22.594 +/- 0.128 | dlogz: 0.036 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7529it [00:09, 721.66it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 148358 | eff(%): 5.058 | loglstar: -inf < -11.664 < inf | logz: -22.592 +/- 0.128 | dlogz: 0.031 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7602it [00:10, 624.90it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 150037 | eff(%): 5.050 | loglstar: -inf < -11.628 < inf | logz: -22.589 +/- 0.128 | dlogz: 0.027 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7674it [00:10, 650.15it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 151693 | eff(%): 5.042 | loglstar: -inf < -11.598 < inf | logz: -22.587 +/- 0.128 | dlogz: 0.023 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7750it [00:10, 677.82it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 153441 | eff(%): 5.034 | loglstar: -inf < -11.564 < inf | logz: -22.585 +/- 0.128 | dlogz: 0.020 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7825it [00:10, 695.05it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 155166 | eff(%): 5.027 | loglstar: -inf < -11.535 < inf | logz: -22.584 +/- 0.128 | dlogz: 0.018 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7899it [00:10, 706.17it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 156868 | eff(%): 5.019 | loglstar: -inf < -11.509 < inf | logz: -22.582 +/- 0.128 | dlogz: 0.015 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7975it [00:10, 719.62it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 158616 | eff(%): 5.012 | loglstar: -inf < -11.483 < inf | logz: -22.581 +/- 0.128 | dlogz: 0.013 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8049it [00:10, 623.07it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 160318 | eff(%): 5.005 | loglstar: -inf < -11.449 < inf | logz: -22.580 +/- 0.128 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8210it [00:10, 883.10it/s, batch: 0 | bound: 15 | nc: 1 | ncall: 161821 | eff(%): 5.061 | loglstar: -inf < -11.378 < inf | logz: -22.578 +/- 0.128 | dlogz: 0.008 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8610it [00:11, 670.88it/s, batch: 1 | bound: 0 | nc: 23 | ncall: 162221 | eff(%): 5.308 | loglstar: -15.576 < -15.401 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8694it [00:11, 674.61it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 164153 | eff(%): 4.950 | loglstar: -15.576 < -15.286 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8774it [00:11, 669.60it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 165993 | eff(%): 4.943 | loglstar: -15.576 < -15.021 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8849it [00:11, 641.41it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 167718 | eff(%): 4.938 | loglstar: -15.576 < -14.851 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8924it [00:11, 661.74it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 169443 | eff(%): 4.932 | loglstar: -15.576 < -14.682 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8998it [00:12, 676.87it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 171145 | eff(%): 4.926 | loglstar: -15.576 < -14.495 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9073it [00:12, 691.89it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 172870 | eff(%): 4.921 | loglstar: -15.576 < -14.332 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9146it [00:12, 621.32it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 174549 | eff(%): 4.916 | loglstar: -15.576 < -14.202 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9221it [00:12, 650.20it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 176274 | eff(%): 4.911 | loglstar: -15.576 < -14.062 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9297it [00:12, 675.76it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 178022 | eff(%): 4.905 | loglstar: -15.576 < -13.924 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9372it [00:12, 693.90it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 179747 | eff(%): 4.900 | loglstar: -15.576 < -13.808 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9447it [00:12, 708.92it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 181472 | eff(%): 4.896 | loglstar: -15.576 < -13.703 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9524it [00:12, 723.72it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 183243 | eff(%): 4.891 | loglstar: -15.576 < -13.609 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9802it [00:12, 1312.09it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 184423 | eff(%): 5.009 | loglstar: -15.576 < -13.174 < -13.553 | logz: -22.572 +/- 0.133 | stop: 3.279]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10065it [00:13, 592.60it/s, batch: 2 | bound: 0 | nc: 23 | ncall: 195686 | eff(%): 5.143 | loglstar: -16.266 < -16.238 < -15.571 | logz: -22.547 +/- 0.111 | stop: 1.996]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10170it [00:13, 611.84it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 198101 | eff(%): 4.852 | loglstar: -16.266 < -15.912 < -15.571 | logz: -22.547 +/- 0.111 | stop: 1.996]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10265it [00:13, 627.50it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 200286 | eff(%): 4.847 | loglstar: -16.266 < -15.599 < -15.571 | logz: -22.547 +/- 0.111 | stop: 1.996]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10738it [00:14, 1303.25it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 200913 | eff(%): 5.066 | loglstar: -16.266 < -13.210 < -15.571 | logz: -22.547 +/- 0.111 | stop: 1.996]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10941it [00:14, 579.60it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 214778 | eff(%): 4.836 | loglstar: -16.766 < -16.067 < -16.263 | logz: -22.552 +/- 0.106 | stop: 1.690] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11393it [00:15, 570.98it/s, batch: 4 | bound: 0 | nc: 23 | ncall: 226230 | eff(%): 5.036 | loglstar: -17.361 < -16.981 < -16.765 | logz: -22.546 +/- 0.102 | stop: 1.524]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11515it [00:15, 591.01it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 228948 | eff(%): 4.789 | loglstar: -17.361 < -16.743 < -16.765 | logz: -22.546 +/- 0.102 | stop: 1.524] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12011it [00:16, 603.98it/s, batch: 5 | bound: 0 | nc: 23 | ncall: 240444 | eff(%): 4.995 | loglstar: -17.917 < -17.894 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12105it [00:16, 591.92it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 242606 | eff(%): 4.764 | loglstar: -17.917 < -17.435 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12186it [00:16, 607.53it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 244469 | eff(%): 4.761 | loglstar: -17.917 < -17.064 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12266it [00:17, 625.64it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 246309 | eff(%): 4.758 | loglstar: -17.917 < -16.641 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12345it [00:17, 643.10it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 248126 | eff(%): 4.755 | loglstar: -17.917 < -16.357 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12422it [00:17, 661.92it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 249897 | eff(%): 4.752 | loglstar: -17.917 < -16.098 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12499it [00:17, 680.18it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 251668 | eff(%): 4.749 | loglstar: -17.917 < -15.863 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12576it [00:17, 620.95it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 253439 | eff(%): 4.747 | loglstar: -17.917 < -15.594 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12652it [00:17, 649.25it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 255187 | eff(%): 4.744 | loglstar: -17.917 < -15.369 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12727it [00:17, 671.28it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 256912 | eff(%): 4.742 | loglstar: -17.917 < -15.163 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12804it [00:17, 693.79it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 258683 | eff(%): 4.739 | loglstar: -17.917 < -14.956 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12881it [00:17, 713.45it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 260454 | eff(%): 4.736 | loglstar: -17.917 < -14.752 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12957it [00:18, 726.09it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 262202 | eff(%): 4.734 | loglstar: -17.917 < -14.557 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13032it [00:18, 634.37it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 263927 | eff(%): 4.732 | loglstar: -17.917 < -14.421 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13108it [00:18, 665.32it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 265675 | eff(%): 4.729 | loglstar: -17.917 < -14.270 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13183it [00:18, 685.83it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 267400 | eff(%): 4.727 | loglstar: -17.917 < -14.136 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13259it [00:18, 703.99it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 269148 | eff(%): 4.724 | loglstar: -17.917 < -14.022 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13332it [00:18, 708.15it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 270827 | eff(%): 4.722 | loglstar: -17.917 < -13.920 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13404it [00:18, 707.43it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 272483 | eff(%): 4.720 | loglstar: -17.917 < -13.815 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13480it [00:18, 720.92it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 274231 | eff(%): 4.718 | loglstar: -17.917 < -13.707 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13553it [00:18, 632.89it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 275910 | eff(%): 4.716 | loglstar: -17.917 < -13.598 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13630it [00:19, 667.20it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 277681 | eff(%): 4.713 | loglstar: -17.917 < -13.517 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13704it [00:19, 687.20it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 279383 | eff(%): 4.711 | loglstar: -17.917 < -13.430 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13780it [00:19, 706.67it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 281131 | eff(%): 4.709 | loglstar: -17.917 < -13.335 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13857it [00:19, 721.94it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 282902 | eff(%): 4.707 | loglstar: -17.917 < -13.255 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13931it [00:19, 706.14it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 284604 | eff(%): 4.705 | loglstar: -17.917 < -13.188 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14003it [00:19, 658.59it/s, batch: 5 | bound: 5 | nc: 23 | ncall: 286260 | eff(%): 4.703 | loglstar: -17.917 < -13.131 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14070it [00:19, 579.87it/s, batch: 5 | bound: 6 | nc: 23 | ncall: 287801 | eff(%): 4.701 | loglstar: -17.917 < -13.072 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14146it [00:19, 624.07it/s, batch: 5 | bound: 6 | nc: 23 | ncall: 289549 | eff(%): 4.699 | loglstar: -17.917 < -13.013 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14222it [00:19, 658.81it/s, batch: 5 | bound: 6 | nc: 23 | ncall: 291297 | eff(%): 4.697 | loglstar: -17.917 < -12.959 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14488it [00:20, 1210.69it/s, batch: 5 | bound: 6 | nc: 1 | ncall: 292509 | eff(%): 4.769 | loglstar: -17.917 < -12.708 < -12.931 | logz: -22.520 +/- 0.099 | stop: 1.413]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14765it [00:20, 551.39it/s, batch: 6 | bound: 0 | nc: 23 | ncall: 303786 | eff(%): 4.860 | loglstar: -18.540 < -16.621 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14865it [00:21, 576.18it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 306086 | eff(%): 4.681 | loglstar: -18.540 < -18.013 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14956it [00:21, 602.55it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 308179 | eff(%): 4.678 | loglstar: -18.540 < -17.477 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15042it [00:21, 628.14it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 310157 | eff(%): 4.676 | loglstar: -18.540 < -17.061 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15125it [00:21, 652.66it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 312066 | eff(%): 4.674 | loglstar: -18.540 < -16.724 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15206it [00:21, 671.57it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 313929 | eff(%): 4.673 | loglstar: -18.540 < -16.397 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15285it [00:21, 588.55it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 315746 | eff(%): 4.671 | loglstar: -18.540 < -16.136 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15360it [00:21, 621.20it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 317471 | eff(%): 4.669 | loglstar: -18.540 < -15.857 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15433it [00:21, 645.40it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 319150 | eff(%): 4.667 | loglstar: -18.540 < -15.642 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15509it [00:21, 671.57it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 320898 | eff(%): 4.666 | loglstar: -18.540 < -15.426 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15585it [00:22, 692.76it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 322646 | eff(%): 4.664 | loglstar: -18.540 < -15.206 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15660it [00:22, 707.54it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 324371 | eff(%): 4.663 | loglstar: -18.540 < -14.996 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15734it [00:22, 715.47it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 326073 | eff(%): 4.661 | loglstar: -18.540 < -14.822 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15808it [00:22, 626.25it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 327775 | eff(%): 4.659 | loglstar: -18.540 < -14.643 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15874it [00:22, 591.20it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 329293 | eff(%): 4.658 | loglstar: -18.540 < -14.526 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15936it [00:22, 574.34it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 330719 | eff(%): 4.657 | loglstar: -18.540 < -14.409 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16001it [00:22, 592.33it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 332214 | eff(%): 4.655 | loglstar: -18.540 < -14.281 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16071it [00:22, 617.57it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 333824 | eff(%): 4.654 | loglstar: -18.540 < -14.158 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16148it [00:22, 659.67it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 335595 | eff(%): 4.652 | loglstar: -18.540 < -14.022 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16224it [00:23, 687.27it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 337343 | eff(%): 4.651 | loglstar: -18.540 < -13.894 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16294it [00:23, 612.46it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 338953 | eff(%): 4.649 | loglstar: -18.540 < -13.766 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16370it [00:23, 650.69it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 340701 | eff(%): 4.648 | loglstar: -18.540 < -13.659 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16795it [00:23, 1643.93it/s, batch: 6 | bound: 4 | nc: 1 | ncall: 341478 | eff(%): 4.764 | loglstar: -18.540 < -12.779 < -13.634 | logz: -22.513 +/- 0.086 | stop: 1.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16886it [00:23, 715.18it/s, batch: 6 | bound: 4 | nc: 1 | ncall: 341569 | eff(%): 4.789 | loglstar: -18.540 < -11.295 < -13.634 | logz: -22.513 +/- 0.086 | stop: 0.824] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Positive vs Negative slope\n", "===========================\n", "logZ(m>0) = 30.226 ± 0.103\n", "logZ(m<0) = -22.487 ± 0.081\n", "log Bayes factor = -52.712\n", "Positive slope favored.\n", "==========================\n", "Linear fit parameters:\n", "m = 165.448755 +/- 1.385715\n", "b = -0.037545 +/- 0.004534\n", "ln_f = -3.518267 +/- 0.237248\n", "------------------------------\n", "==================================================\n", "Line-width measure [km/s]\n", "----------------------------------------\n", "$\\mu$\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "268it [00:00, 2679.04it/s, batch: 0 | bound: 0 | nc: 3 | ncall: 356 | eff(%): 31.308 | loglstar: -inf < -14895.445 < inf | logz: -14902.888 +/- 0.122 | dlogz: 14900.239 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "536it [00:00, 2203.21it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 924 | eff(%): 37.640 | loglstar: -inf < -401.786 < inf | logz: -408.872 +/- 0.117 | dlogz: 388.670 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "762it [00:00, 1961.98it/s, batch: 0 | bound: 0 | nc: 8 | ncall: 1722 | eff(%): 34.293 | loglstar: -inf < -101.281 < inf | logz: -107.381 +/- 0.106 | dlogz: 85.722 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "963it [00:00, 1912.41it/s, batch: 0 | bound: 0 | nc: 5 | ncall: 2738 | eff(%): 29.741 | loglstar: -inf < -76.696 < inf | logz: -81.725 +/- 0.090 | dlogz: 69.211 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1157it [00:00, 1827.56it/s, batch: 0 | bound: 0 | nc: 9 | ncall: 4203 | eff(%): 24.601 | loglstar: -inf < -70.530 < inf | logz: -75.565 +/- 0.088 | dlogz: 62.648 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1341it [00:00, 1719.37it/s, batch: 0 | bound: 0 | nc: 15 | ncall: 6373 | eff(%): 19.511 | loglstar: -inf < -65.161 < inf | logz: -70.460 +/- 0.092 | dlogz: 57.173 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1514it [00:00, 1478.84it/s, batch: 0 | bound: 0 | nc: 29 | ncall: 9130 | eff(%): 15.722 | loglstar: -inf < -60.737 < inf | logz: -66.308 +/- 0.094 | dlogz: 52.673 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1667it [00:01, 1219.20it/s, batch: 0 | bound: 0 | nc: 13 | ncall: 12364 | eff(%): 12.959 | loglstar: -inf < -57.207 < inf | logz: -62.868 +/- 0.096 | dlogz: 48.923 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1798it [00:01, 1119.46it/s, batch: 0 | bound: 0 | nc: 29 | ncall: 15903 | eff(%): 10.961 | loglstar: -inf < -53.871 < inf | logz: -59.920 +/- 0.099 | dlogz: 51.829 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1916it [00:01, 903.62it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 19406 | eff(%): 9.625 | loglstar: -inf < -51.360 < inf | logz: -57.432 +/- 0.101 | dlogz: 49.100 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2015it [00:01, 859.41it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 21683 | eff(%): 9.084 | loglstar: -inf < -49.601 < inf | logz: -55.697 +/- 0.101 | dlogz: 47.165 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2106it [00:01, 825.37it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 23776 | eff(%): 8.675 | loglstar: -inf < -48.287 < inf | logz: -54.386 +/- 0.101 | dlogz: 45.669 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2192it [00:01, 796.88it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 25754 | eff(%): 8.349 | loglstar: -inf < -47.120 < inf | logz: -53.257 +/- 0.101 | dlogz: 44.367 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2274it [00:01, 749.57it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 27640 | eff(%): 8.081 | loglstar: -inf < -46.023 < inf | logz: -52.342 +/- 0.102 | dlogz: 43.288 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2350it [00:02, 743.70it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 29388 | eff(%): 7.863 | loglstar: -inf < -44.726 < inf | logz: -51.393 +/- 0.104 | dlogz: 42.189 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2425it [00:02, 646.06it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 31113 | eff(%): 7.671 | loglstar: -inf < -43.846 < inf | logz: -50.417 +/- 0.105 | dlogz: 41.061 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2496it [00:02, 660.68it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 32746 | eff(%): 7.508 | loglstar: -inf < -43.085 < inf | logz: -49.667 +/- 0.105 | dlogz: 40.168 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2568it [00:02, 673.59it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 34402 | eff(%): 7.358 | loglstar: -inf < -42.025 < inf | logz: -48.891 +/- 0.106 | dlogz: 39.249 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2640it [00:02, 685.36it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 36058 | eff(%): 7.221 | loglstar: -inf < -41.303 < inf | logz: -48.137 +/- 0.107 | dlogz: 38.349 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2710it [00:02, 687.98it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 37668 | eff(%): 7.100 | loglstar: -inf < -40.589 < inf | logz: -47.493 +/- 0.108 | dlogz: 37.565 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2782it [00:02, 695.53it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 39324 | eff(%): 6.986 | loglstar: -inf < -39.768 < inf | logz: -46.852 +/- 0.109 | dlogz: 38.537 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2853it [00:02, 689.59it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 40957 | eff(%): 6.882 | loglstar: -inf < -38.978 < inf | logz: -46.215 +/- 0.110 | dlogz: 37.758 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2923it [00:02, 603.87it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 42567 | eff(%): 6.787 | loglstar: -inf < -38.090 < inf | logz: -45.549 +/- 0.111 | dlogz: 36.953 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2993it [00:03, 629.03it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 44177 | eff(%): 6.699 | loglstar: -inf < -37.045 < inf | logz: -44.827 +/- 0.113 | dlogz: 36.093 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3065it [00:03, 652.19it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 45833 | eff(%): 6.615 | loglstar: -inf < -36.282 < inf | logz: -44.039 +/- 0.115 | dlogz: 55.381 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3137it [00:03, 669.52it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 47489 | eff(%): 6.537 | loglstar: -inf < -35.134 < inf | logz: -43.208 +/- 0.117 | dlogz: 54.408 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3209it [00:03, 682.97it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 49145 | eff(%): 6.464 | loglstar: -inf < -33.872 < inf | logz: -42.229 +/- 0.119 | dlogz: 53.288 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3279it [00:03, 684.55it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 50755 | eff(%): 6.397 | loglstar: -inf < -32.666 < inf | logz: -41.238 +/- 0.121 | dlogz: 52.158 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3349it [00:03, 687.21it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 52365 | eff(%): 6.335 | loglstar: -inf < -31.552 < inf | logz: -40.239 +/- 0.122 | dlogz: 51.018 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3419it [00:03, 596.18it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 53975 | eff(%): 6.276 | loglstar: -inf < -30.365 < inf | logz: -39.216 +/- 0.124 | dlogz: 49.856 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3491it [00:03, 628.69it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 55631 | eff(%): 6.219 | loglstar: -inf < -29.002 < inf | logz: -38.068 +/- 0.126 | dlogz: 48.566 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3562it [00:03, 648.98it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 57264 | eff(%): 6.166 | loglstar: -inf < -27.704 < inf | logz: -36.915 +/- 0.127 | dlogz: 47.270 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3629it [00:04, 628.45it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 58805 | eff(%): 6.119 | loglstar: -inf < -26.062 < inf | logz: -35.611 +/- 0.129 | dlogz: 45.837 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3694it [00:04, 549.12it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 60300 | eff(%): 6.076 | loglstar: -inf < -24.933 < inf | logz: -34.485 +/- 0.130 | dlogz: 44.578 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3765it [00:04, 589.07it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 61933 | eff(%): 6.030 | loglstar: -inf < -23.867 < inf | logz: -33.385 +/- 0.130 | dlogz: 43.333 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3827it [00:04, 513.93it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 63359 | eff(%): 5.993 | loglstar: -inf < -22.982 < inf | logz: -32.542 +/- 0.130 | dlogz: 51.345 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3882it [00:04, 506.42it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 64624 | eff(%): 5.961 | loglstar: -inf < -22.175 < inf | logz: -31.786 +/- 0.131 | dlogz: 50.477 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3944it [00:04, 533.96it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 66050 | eff(%): 5.926 | loglstar: -inf < -21.157 < inf | logz: -30.983 +/- 0.131 | dlogz: 49.552 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4010it [00:04, 566.99it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 67568 | eff(%): 5.891 | loglstar: -inf < -20.247 < inf | logz: -30.094 +/- 0.132 | dlogz: 48.530 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4069it [00:04, 504.52it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 68925 | eff(%): 5.861 | loglstar: -inf < -19.373 < inf | logz: -29.333 +/- 0.133 | dlogz: 47.651 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4134it [00:05, 541.65it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 70420 | eff(%): 5.829 | loglstar: -inf < -18.053 < inf | logz: -28.383 +/- 0.135 | dlogz: 46.575 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4191it [00:05, 545.62it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 71731 | eff(%): 5.802 | loglstar: -inf < -17.016 < inf | logz: -27.441 +/- 0.136 | dlogz: 45.518 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4261it [00:05, 586.88it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 73341 | eff(%): 5.771 | loglstar: -inf < -15.591 < inf | logz: -26.225 +/- 0.138 | dlogz: 44.163 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4332it [00:05, 620.07it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 74974 | eff(%): 5.740 | loglstar: -inf < -14.605 < inf | logz: -25.215 +/- 0.138 | dlogz: 43.008 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4396it [00:05, 529.64it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 76446 | eff(%): 5.713 | loglstar: -inf < -13.711 < inf | logz: -24.373 +/- 0.138 | dlogz: 42.038 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4466it [00:05, 571.65it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 78056 | eff(%): 5.685 | loglstar: -inf < -12.574 < inf | logz: -23.416 +/- 0.139 | dlogz: 44.587 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4528it [00:05, 582.28it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 79482 | eff(%): 5.661 | loglstar: -inf < -11.684 < inf | logz: -22.630 +/- 0.140 | dlogz: 43.677 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4590it [00:05, 588.97it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 80908 | eff(%): 5.638 | loglstar: -inf < -10.818 < inf | logz: -21.774 +/- 0.141 | dlogz: 42.695 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4662it [00:05, 621.17it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 82564 | eff(%): 5.613 | loglstar: -inf < -9.495 < inf | logz: -20.779 +/- 0.142 | dlogz: 41.559 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4733it [00:05, 644.40it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 84197 | eff(%): 5.588 | loglstar: -inf < -8.363 < inf | logz: -19.822 +/- 0.143 | dlogz: 40.460 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4804it [00:06, 662.32it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 85830 | eff(%): 5.565 | loglstar: -inf < -7.372 < inf | logz: -18.856 +/- 0.144 | dlogz: 39.501 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4871it [00:06, 576.13it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 87371 | eff(%): 5.543 | loglstar: -inf < -6.360 < inf | logz: -17.973 +/- 0.145 | dlogz: 38.484 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4939it [00:06, 603.35it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 88935 | eff(%): 5.522 | loglstar: -inf < -5.270 < inf | logz: -17.077 +/- 0.146 | dlogz: 37.452 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5008it [00:06, 626.65it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 90522 | eff(%): 5.502 | loglstar: -inf < -4.143 < inf | logz: -16.151 +/- 0.147 | dlogz: 38.123 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5080it [00:06, 650.55it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 92178 | eff(%): 5.481 | loglstar: -inf < -3.141 < inf | logz: -15.149 +/- 0.148 | dlogz: 36.976 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5147it [00:06, 636.79it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 93719 | eff(%): 5.463 | loglstar: -inf < -2.120 < inf | logz: -14.274 +/- 0.148 | dlogz: 35.967 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5218it [00:06, 656.46it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 95352 | eff(%): 5.444 | loglstar: -inf < -0.929 < inf | logz: -13.269 +/- 0.150 | dlogz: 35.479 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5285it [00:06, 592.43it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 96893 | eff(%): 5.426 | loglstar: -inf < 0.318 < inf | logz: -12.270 +/- 0.151 | dlogz: 34.348 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5346it [00:07, 498.34it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 98296 | eff(%): 5.411 | loglstar: -inf < 1.145 < inf | logz: -11.409 +/- 0.152 | dlogz: 33.363 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5408it [00:07, 527.53it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 99722 | eff(%): 5.396 | loglstar: -inf < 1.970 < inf | logz: -10.620 +/- 0.152 | dlogz: 32.449 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5478it [00:07, 571.80it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 101332 | eff(%): 5.379 | loglstar: -inf < 3.228 < inf | logz: -9.680 +/- 0.153 | dlogz: 31.372 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5543it [00:07, 590.85it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 102827 | eff(%): 5.365 | loglstar: -inf < 4.191 < inf | logz: -8.784 +/- 0.154 | dlogz: 31.992 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5614it [00:07, 622.02it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 104460 | eff(%): 5.349 | loglstar: -inf < 5.476 < inf | logz: -7.762 +/- 0.155 | dlogz: 32.609 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5681it [00:07, 634.30it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 106001 | eff(%): 5.334 | loglstar: -inf < 6.456 < inf | logz: -6.819 +/- 0.156 | dlogz: 31.530 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5746it [00:07, 603.76it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 107496 | eff(%): 5.321 | loglstar: -inf < 7.401 < inf | logz: -5.940 +/- 0.157 | dlogz: 30.521 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5808it [00:07, 548.65it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 108922 | eff(%): 5.308 | loglstar: -inf < 8.344 < inf | logz: -5.122 +/- 0.157 | dlogz: 33.196 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5865it [00:07, 499.04it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 110233 | eff(%): 5.297 | loglstar: -inf < 9.249 < inf | logz: -4.373 +/- 0.158 | dlogz: 32.333 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5930it [00:08, 536.29it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 111728 | eff(%): 5.284 | loglstar: -inf < 10.469 < inf | logz: -3.463 +/- 0.159 | dlogz: 31.296 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5998it [00:08, 573.90it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 113292 | eff(%): 5.271 | loglstar: -inf < 11.397 < inf | logz: -2.513 +/- 0.160 | dlogz: 30.208 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6069it [00:08, 609.02it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 114925 | eff(%): 5.258 | loglstar: -inf < 12.434 < inf | logz: -1.602 +/- 0.160 | dlogz: 29.154 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6140it [00:08, 635.97it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 116558 | eff(%): 5.245 | loglstar: -inf < 13.530 < inf | logz: -0.631 +/- 0.161 | dlogz: 28.041 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6205it [00:08, 563.28it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 118053 | eff(%): 5.234 | loglstar: -inf < 14.427 < inf | logz: 0.189 +/- 0.162 | dlogz: 27.091 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6264it [00:08, 558.09it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 119410 | eff(%): 5.224 | loglstar: -inf < 15.448 < inf | logz: 1.002 +/- 0.163 | dlogz: 26.161 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6330it [00:08, 585.39it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 120928 | eff(%): 5.213 | loglstar: -inf < 16.479 < inf | logz: 1.907 +/- 0.164 | dlogz: 25.125 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6390it [00:08, 578.49it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 122308 | eff(%): 5.203 | loglstar: -inf < 17.275 < inf | logz: 2.656 +/- 0.164 | dlogz: 24.255 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6453it [00:08, 591.94it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 123757 | eff(%): 5.193 | loglstar: -inf < 18.148 < inf | logz: 3.425 +/- 0.165 | dlogz: 23.360 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6516it [00:09, 602.67it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 125206 | eff(%): 5.184 | loglstar: -inf < 18.968 < inf | logz: 4.177 +/- 0.165 | dlogz: 22.481 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6584it [00:09, 622.56it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 126770 | eff(%): 5.173 | loglstar: -inf < 19.791 < inf | logz: 4.966 +/- 0.166 | dlogz: 22.416 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6647it [00:09, 521.25it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 128219 | eff(%): 5.164 | loglstar: -inf < 20.481 < inf | logz: 5.626 +/- 0.166 | dlogz: 21.629 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6709it [00:09, 546.07it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 129645 | eff(%): 5.155 | loglstar: -inf < 21.296 < inf | logz: 6.243 +/- 0.167 | dlogz: 20.889 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6780it [00:09, 589.26it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 131278 | eff(%): 5.145 | loglstar: -inf < 22.263 < inf | logz: 6.966 +/- 0.167 | dlogz: 20.025 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6852it [00:09, 622.63it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 132934 | eff(%): 5.135 | loglstar: -inf < 23.083 < inf | logz: 7.727 +/- 0.168 | dlogz: 19.119 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6917it [00:09, 543.22it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 134429 | eff(%): 5.126 | loglstar: -inf < 23.756 < inf | logz: 8.365 +/- 0.169 | dlogz: 18.350 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6975it [00:09, 545.90it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 135763 | eff(%): 5.119 | loglstar: -inf < 24.430 < inf | logz: 8.919 +/- 0.169 | dlogz: 17.680 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7032it [00:09, 518.14it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 137074 | eff(%): 5.111 | loglstar: -inf < 25.044 < inf | logz: 9.456 +/- 0.170 | dlogz: 17.030 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7086it [00:10, 521.53it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 138316 | eff(%): 5.105 | loglstar: -inf < 25.713 < inf | logz: 9.991 +/- 0.170 | dlogz: 16.387 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7156it [00:10, 567.38it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 139926 | eff(%): 5.096 | loglstar: -inf < 26.544 < inf | logz: 10.669 +/- 0.171 | dlogz: 15.569 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7214it [00:10, 559.15it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 141260 | eff(%): 5.089 | loglstar: -inf < 27.308 < inf | logz: 11.234 +/- 0.172 | dlogz: 14.889 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7271it [00:10, 561.35it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 142571 | eff(%): 5.082 | loglstar: -inf < 28.005 < inf | logz: 11.847 +/- 0.173 | dlogz: 14.162 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7338it [00:10, 591.32it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 144112 | eff(%): 5.074 | loglstar: -inf < 28.692 < inf | logz: 12.479 +/- 0.173 | dlogz: 13.395 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7398it [00:10, 540.88it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 145492 | eff(%): 5.067 | loglstar: -inf < 29.315 < inf | logz: 13.032 +/- 0.174 | dlogz: 12.735 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7454it [00:10, 484.46it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 146780 | eff(%): 5.061 | loglstar: -inf < 29.855 < inf | logz: 13.523 +/- 0.174 | dlogz: 12.131 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7505it [00:10, 485.12it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 147953 | eff(%): 5.055 | loglstar: -inf < 30.292 < inf | logz: 13.940 +/- 0.175 | dlogz: 11.611 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7576it [00:10, 544.88it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 149586 | eff(%): 5.048 | loglstar: -inf < 31.026 < inf | logz: 14.505 +/- 0.175 | dlogz: 10.905 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7644it [00:11, 581.75it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 151150 | eff(%): 5.041 | loglstar: -inf < 31.633 < inf | logz: 15.044 +/- 0.176 | dlogz: 10.229 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7710it [00:11, 603.19it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 152668 | eff(%): 5.034 | loglstar: -inf < 32.286 < inf | logz: 15.532 +/- 0.176 | dlogz: 9.610 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7772it [00:11, 605.11it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 154094 | eff(%): 5.027 | loglstar: -inf < 32.734 < inf | logz: 15.971 +/- 0.177 | dlogz: 9.046 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7839it [00:11, 620.82it/s, batch: 0 | bound: 15 | nc: 23 | ncall: 155635 | eff(%): 5.021 | loglstar: -inf < 33.356 < inf | logz: 16.456 +/- 0.177 | dlogz: 8.428 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7908it [00:11, 555.82it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 157222 | eff(%): 5.014 | loglstar: -inf < 33.940 < inf | logz: 16.936 +/- 0.178 | dlogz: 7.810 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7978it [00:11, 592.46it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 158832 | eff(%): 5.007 | loglstar: -inf < 34.482 < inf | logz: 17.396 +/- 0.178 | dlogz: 7.210 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8050it [00:11, 623.53it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 160488 | eff(%): 5.000 | loglstar: -inf < 34.985 < inf | logz: 17.839 +/- 0.179 | dlogz: 6.623 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8114it [00:11, 582.86it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 161960 | eff(%): 4.994 | loglstar: -inf < 35.360 < inf | logz: 18.191 +/- 0.179 | dlogz: 6.144 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8174it [00:11, 565.37it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 163340 | eff(%): 4.989 | loglstar: -inf < 35.733 < inf | logz: 18.501 +/- 0.179 | dlogz: 5.714 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8244it [00:12, 600.55it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 164950 | eff(%): 4.983 | loglstar: -inf < 36.125 < inf | logz: 18.834 +/- 0.180 | dlogz: 5.243 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8313it [00:12, 625.27it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 166537 | eff(%): 4.977 | loglstar: -inf < 36.462 < inf | logz: 19.134 +/- 0.180 | dlogz: 4.808 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8377it [00:12, 622.55it/s, batch: 0 | bound: 16 | nc: 23 | ncall: 168009 | eff(%): 4.971 | loglstar: -inf < 36.782 < inf | logz: 19.386 +/- 0.180 | dlogz: 4.431 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8440it [00:12, 541.22it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 169458 | eff(%): 4.966 | loglstar: -inf < 37.111 < inf | logz: 19.624 +/- 0.180 | dlogz: 4.073 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8503it [00:12, 564.13it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 170907 | eff(%): 4.961 | loglstar: -inf < 37.387 < inf | logz: 19.849 +/- 0.181 | dlogz: 3.728 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8570it [00:12, 591.93it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 172448 | eff(%): 4.955 | loglstar: -inf < 37.614 < inf | logz: 20.065 +/- 0.181 | dlogz: 3.388 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8642it [00:12, 625.08it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 174104 | eff(%): 4.949 | loglstar: -inf < 37.867 < inf | logz: 20.273 +/- 0.181 | dlogz: 3.050 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8714it [00:12, 647.91it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 175760 | eff(%): 4.944 | loglstar: -inf < 38.077 < inf | logz: 20.460 +/- 0.181 | dlogz: 2.738 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8785it [00:12, 663.94it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 177393 | eff(%): 4.938 | loglstar: -inf < 38.251 < inf | logz: 20.623 +/- 0.181 | dlogz: 2.455 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8856it [00:13, 677.18it/s, batch: 0 | bound: 17 | nc: 23 | ncall: 179026 | eff(%): 4.933 | loglstar: -inf < 38.461 < inf | logz: 20.769 +/- 0.181 | dlogz: 2.196 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8925it [00:13, 591.34it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 180613 | eff(%): 4.928 | loglstar: -inf < 38.623 < inf | logz: 20.900 +/- 0.182 | dlogz: 1.961 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8988it [00:13, 601.58it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 182062 | eff(%): 4.923 | loglstar: -inf < 38.759 < inf | logz: 21.008 +/- 0.182 | dlogz: 1.763 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9057it [00:13, 625.08it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 183649 | eff(%): 4.918 | loglstar: -inf < 38.937 < inf | logz: 21.116 +/- 0.182 | dlogz: 1.563 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9129it [00:13, 649.19it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 185305 | eff(%): 4.913 | loglstar: -inf < 39.105 < inf | logz: 21.222 +/- 0.182 | dlogz: 1.371 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9199it [00:13, 663.00it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 186915 | eff(%): 4.908 | loglstar: -inf < 39.246 < inf | logz: 21.315 +/- 0.182 | dlogz: 1.203 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9271it [00:13, 677.75it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 188571 | eff(%): 4.903 | loglstar: -inf < 39.368 < inf | logz: 21.403 +/- 0.182 | dlogz: 1.046 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9343it [00:13, 687.21it/s, batch: 0 | bound: 18 | nc: 23 | ncall: 190227 | eff(%): 4.899 | loglstar: -inf < 39.481 < inf | logz: 21.480 +/- 0.183 | dlogz: 0.908 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9413it [00:13, 603.77it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 191837 | eff(%): 4.894 | loglstar: -inf < 39.563 < inf | logz: 21.548 +/- 0.183 | dlogz: 0.795 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9484it [00:14, 630.21it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 193470 | eff(%): 4.889 | loglstar: -inf < 39.672 < inf | logz: 21.609 +/- 0.183 | dlogz: 0.694 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9549it [00:14, 620.99it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 194965 | eff(%): 4.885 | loglstar: -inf < 39.752 < inf | logz: 21.660 +/- 0.183 | dlogz: 0.608 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9620it [00:14, 645.75it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 196598 | eff(%): 4.881 | loglstar: -inf < 39.821 < inf | logz: 21.710 +/- 0.183 | dlogz: 0.525 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9691it [00:14, 663.65it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 198231 | eff(%): 4.876 | loglstar: -inf < 39.889 < inf | logz: 21.754 +/- 0.183 | dlogz: 0.453 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9763it [00:14, 677.50it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 199887 | eff(%): 4.872 | loglstar: -inf < 39.955 < inf | logz: 21.794 +/- 0.183 | dlogz: 0.390 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9835it [00:14, 687.83it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 201543 | eff(%): 4.868 | loglstar: -inf < 40.012 < inf | logz: 21.829 +/- 0.183 | dlogz: 0.336 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9907it [00:14, 694.70it/s, batch: 0 | bound: 19 | nc: 23 | ncall: 203199 | eff(%): 4.864 | loglstar: -inf < 40.060 < inf | logz: 21.860 +/- 0.183 | dlogz: 0.289 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9977it [00:14, 603.48it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 204809 | eff(%): 4.860 | loglstar: -inf < 40.105 < inf | logz: 21.887 +/- 0.183 | dlogz: 0.249 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10049it [00:14, 632.85it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 206465 | eff(%): 4.855 | loglstar: -inf < 40.154 < inf | logz: 21.911 +/- 0.183 | dlogz: 0.216 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10119it [00:15, 649.05it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 208075 | eff(%): 4.851 | loglstar: -inf < 40.197 < inf | logz: 21.932 +/- 0.183 | dlogz: 0.186 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10186it [00:15, 653.82it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 209616 | eff(%): 4.848 | loglstar: -inf < 40.232 < inf | logz: 21.950 +/- 0.183 | dlogz: 0.162 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10255it [00:15, 663.44it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 211203 | eff(%): 4.844 | loglstar: -inf < 40.259 < inf | logz: 21.967 +/- 0.183 | dlogz: 0.140 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10325it [00:15, 670.09it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 212813 | eff(%): 4.840 | loglstar: -inf < 40.284 < inf | logz: 21.981 +/- 0.184 | dlogz: 0.122 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10393it [00:15, 658.35it/s, batch: 0 | bound: 20 | nc: 23 | ncall: 214377 | eff(%): 4.837 | loglstar: -inf < 40.308 < inf | logz: 21.994 +/- 0.184 | dlogz: 0.106 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10460it [00:15, 555.22it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 215918 | eff(%): 4.833 | loglstar: -inf < 40.329 < inf | logz: 22.005 +/- 0.184 | dlogz: 0.092 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10525it [00:15, 578.74it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 217413 | eff(%): 4.830 | loglstar: -inf < 40.348 < inf | logz: 22.014 +/- 0.184 | dlogz: 0.081 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10595it [00:15, 610.71it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 219023 | eff(%): 4.826 | loglstar: -inf < 40.368 < inf | logz: 22.023 +/- 0.184 | dlogz: 0.070 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10665it [00:15, 631.63it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 220633 | eff(%): 4.823 | loglstar: -inf < 40.384 < inf | logz: 22.030 +/- 0.184 | dlogz: 0.060 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10735it [00:16, 646.71it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 222243 | eff(%): 4.819 | loglstar: -inf < 40.402 < inf | logz: 22.037 +/- 0.184 | dlogz: 0.053 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10801it [00:16, 617.77it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 223761 | eff(%): 4.816 | loglstar: -inf < 40.416 < inf | logz: 22.043 +/- 0.184 | dlogz: 0.046 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10864it [00:16, 617.78it/s, batch: 0 | bound: 21 | nc: 23 | ncall: 225210 | eff(%): 4.813 | loglstar: -inf < 40.427 < inf | logz: 22.048 +/- 0.184 | dlogz: 0.040 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10927it [00:16, 546.43it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 226659 | eff(%): 4.810 | loglstar: -inf < 40.437 < inf | logz: 22.052 +/- 0.184 | dlogz: 0.036 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10989it [00:16, 564.07it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 228085 | eff(%): 4.807 | loglstar: -inf < 40.448 < inf | logz: 22.056 +/- 0.184 | dlogz: 0.031 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11059it [00:16, 599.73it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 229695 | eff(%): 4.804 | loglstar: -inf < 40.460 < inf | logz: 22.059 +/- 0.184 | dlogz: 0.027 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11127it [00:16, 621.39it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 231259 | eff(%): 4.801 | loglstar: -inf < 40.470 < inf | logz: 22.063 +/- 0.184 | dlogz: 0.024 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11197it [00:16, 640.00it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 232869 | eff(%): 4.798 | loglstar: -inf < 40.477 < inf | logz: 22.066 +/- 0.184 | dlogz: 0.021 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11262it [00:16, 628.97it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 234364 | eff(%): 4.795 | loglstar: -inf < 40.484 < inf | logz: 22.068 +/- 0.184 | dlogz: 0.018 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11327it [00:16, 630.93it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 235859 | eff(%): 4.792 | loglstar: -inf < 40.490 < inf | logz: 22.070 +/- 0.184 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11395it [00:17, 644.29it/s, batch: 0 | bound: 22 | nc: 23 | ncall: 237423 | eff(%): 4.789 | loglstar: -inf < 40.496 < inf | logz: 22.072 +/- 0.184 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11460it [00:17, 563.96it/s, batch: 0 | bound: 23 | nc: 23 | ncall: 238918 | eff(%): 4.787 | loglstar: -inf < 40.500 < inf | logz: 22.073 +/- 0.184 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11519it [00:17, 560.26it/s, batch: 0 | bound: 23 | nc: 23 | ncall: 240275 | eff(%): 4.784 | loglstar: -inf < 40.506 < inf | logz: 22.075 +/- 0.184 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11786it [00:17, 1135.00it/s, batch: 0 | bound: 23 | nc: 1 | ncall: 241378 | eff(%): 4.877 | loglstar: -inf < 40.527 < inf | logz: 22.080 +/- 0.184 | dlogz: 0.005 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12057it [00:18, 570.23it/s, batch: 1 | bound: 0 | nc: 23 | ncall: 241649 | eff(%): 4.989 | loglstar: 37.978 < 38.650 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12153it [00:18, 587.00it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 243857 | eff(%): 4.759 | loglstar: 37.978 < 38.264 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12240it [00:18, 587.04it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 245858 | eff(%): 4.756 | loglstar: 37.978 < 38.492 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12319it [00:18, 588.16it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 247675 | eff(%): 4.753 | loglstar: 37.978 < 38.685 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12392it [00:18, 607.77it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 249354 | eff(%): 4.751 | loglstar: 37.978 < 38.841 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12464it [00:18, 624.55it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 251010 | eff(%): 4.748 | loglstar: 37.978 < 39.011 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12535it [00:18, 620.45it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 252643 | eff(%): 4.746 | loglstar: 37.978 < 39.133 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12603it [00:19, 552.13it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 254207 | eff(%): 4.743 | loglstar: 37.978 < 39.230 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12663it [00:19, 559.16it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 255587 | eff(%): 4.741 | loglstar: 37.978 < 39.337 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12730it [00:19, 585.63it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 257128 | eff(%): 4.739 | loglstar: 37.978 < 39.449 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12799it [00:19, 612.46it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 258715 | eff(%): 4.737 | loglstar: 37.978 < 39.539 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12863it [00:19, 616.51it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 260187 | eff(%): 4.734 | loglstar: 37.978 < 39.626 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12927it [00:19, 622.47it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 261659 | eff(%): 4.732 | loglstar: 37.978 < 39.706 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12991it [00:19, 599.19it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 262955 | eff(%): 4.734 | loglstar: 37.978 < 39.782 < 39.766 | logz: 22.085 +/- 0.189 | stop: 4.067] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13483it [00:20, 583.19it/s, batch: 2 | bound: 0 | nc: 23 | ncall: 274447 | eff(%): 4.913 | loglstar: 37.373 < 39.028 < 37.984 | logz: 22.074 +/- 0.155 | stop: 2.438]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13548it [00:20, 590.34it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 275942 | eff(%): 4.713 | loglstar: 37.373 < 37.628 < 37.984 | logz: 22.074 +/- 0.155 | stop: 2.438]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13610it [00:20, 583.41it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 277368 | eff(%): 4.711 | loglstar: 37.373 < 37.846 < 37.984 | logz: 22.074 +/- 0.155 | stop: 2.438]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13903it [00:20, 968.28it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 278409 | eff(%): 4.800 | loglstar: 37.373 < 38.930 < 37.984 | logz: 22.074 +/- 0.155 | stop: 2.438] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14144it [00:21, 525.89it/s, batch: 3 | bound: 0 | nc: 23 | ncall: 289650 | eff(%): 4.883 | loglstar: 36.946 < 37.596 < 37.374 | logz: 22.093 +/- 0.145 | stop: 2.012]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14244it [00:21, 542.15it/s, batch: 3 | bound: 1 | nc: 23 | ncall: 291950 | eff(%): 4.694 | loglstar: 36.946 < 37.351 < 37.374 | logz: 22.093 +/- 0.145 | stop: 2.012]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14694it [00:21, 1024.54it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 292642 | eff(%): 4.838 | loglstar: 36.946 < 39.693 < 37.374 | logz: 22.093 +/- 0.145 | stop: 2.012]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14891it [00:22, 528.06it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 305533 | eff(%): 4.698 | loglstar: 36.555 < 37.240 < 36.951 | logz: 22.083 +/- 0.139 | stop: 1.774] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15332it [00:23, 521.90it/s, batch: 5 | bound: 0 | nc: 23 | ncall: 316974 | eff(%): 4.837 | loglstar: 36.115 < 36.325 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15449it [00:23, 539.80it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 319665 | eff(%): 4.665 | loglstar: 36.115 < 36.654 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15551it [00:24, 559.68it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 322011 | eff(%): 4.663 | loglstar: 36.115 < 37.211 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15644it [00:24, 579.32it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 324150 | eff(%): 4.661 | loglstar: 36.115 < 37.547 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15730it [00:24, 586.28it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 326128 | eff(%): 4.659 | loglstar: 36.115 < 37.865 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15809it [00:24, 586.90it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 327945 | eff(%): 4.657 | loglstar: 36.115 < 38.106 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15882it [00:24, 549.58it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 329624 | eff(%): 4.656 | loglstar: 36.115 < 38.349 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15951it [00:24, 573.85it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 331211 | eff(%): 4.654 | loglstar: 36.115 < 38.547 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16017it [00:24, 585.41it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 332729 | eff(%): 4.653 | loglstar: 36.115 < 38.700 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16082it [00:24, 598.20it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 334224 | eff(%): 4.652 | loglstar: 36.115 < 38.866 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16147it [00:25, 607.95it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 335719 | eff(%): 4.650 | loglstar: 36.115 < 39.013 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16212it [00:25, 616.56it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 337214 | eff(%): 4.649 | loglstar: 36.115 < 39.140 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16277it [00:25, 622.09it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 338709 | eff(%): 4.648 | loglstar: 36.115 < 39.254 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16342it [00:25, 561.95it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 340204 | eff(%): 4.647 | loglstar: 36.115 < 39.363 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16401it [00:25, 553.71it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 341561 | eff(%): 4.645 | loglstar: 36.115 < 39.435 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16469it [00:25, 583.44it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 343125 | eff(%): 4.644 | loglstar: 36.115 < 39.534 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16532it [00:25, 593.25it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 344574 | eff(%): 4.643 | loglstar: 36.115 < 39.609 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16593it [00:25, 556.41it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 345977 | eff(%): 4.642 | loglstar: 36.115 < 39.697 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16663it [00:25, 594.47it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 347587 | eff(%): 4.640 | loglstar: 36.115 < 39.775 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16732it [00:26, 619.82it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 349174 | eff(%): 4.639 | loglstar: 36.115 < 39.847 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16803it [00:26, 644.03it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 350807 | eff(%): 4.638 | loglstar: 36.115 < 39.908 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17276it [00:26, 1822.73it/s, batch: 5 | bound: 3 | nc: 1 | ncall: 351412 | eff(%): 4.767 | loglstar: 36.115 < 40.463 < 39.913 | logz: 22.075 +/- 0.135 | stop: 1.620]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17464it [00:27, 535.78it/s, batch: 6 | bound: 1 | nc: 1 | ncall: 364206 | eff(%): 4.649 | loglstar: 35.693 < 36.538 < 36.116 | logz: 22.081 +/- 0.120 | stop: 1.208] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17882it [00:28, 500.42it/s, batch: 7 | bound: 0 | nc: 23 | ncall: 375624 | eff(%): 4.761 | loglstar: 35.289 < 38.417 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17993it [00:28, 521.14it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 378177 | eff(%): 4.617 | loglstar: 35.289 < 36.001 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18091it [00:28, 542.98it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 380431 | eff(%): 4.616 | loglstar: 35.289 < 36.467 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18180it [00:28, 557.40it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 382478 | eff(%): 4.614 | loglstar: 35.289 < 36.927 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18262it [00:28, 581.19it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 384364 | eff(%): 4.613 | loglstar: 35.289 < 37.247 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18341it [00:28, 591.06it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 386181 | eff(%): 4.612 | loglstar: 35.289 < 37.547 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18415it [00:28, 560.22it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 387883 | eff(%): 4.611 | loglstar: 35.289 < 37.834 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18483it [00:28, 582.05it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 389447 | eff(%): 4.610 | loglstar: 35.289 < 38.028 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18550it [00:29, 597.95it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 390988 | eff(%): 4.609 | loglstar: 35.289 < 38.236 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18621it [00:29, 621.29it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 392621 | eff(%): 4.608 | loglstar: 35.289 < 38.428 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18692it [00:29, 642.43it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 394254 | eff(%): 4.607 | loglstar: 35.289 < 38.586 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18761it [00:29, 643.59it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 395841 | eff(%): 4.606 | loglstar: 35.289 < 38.739 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18829it [00:29, 624.41it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 397405 | eff(%): 4.605 | loglstar: 35.289 < 38.875 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18894it [00:29, 564.04it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 398900 | eff(%): 4.604 | loglstar: 35.289 < 39.011 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "18953it [00:29, 545.38it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 400257 | eff(%): 4.603 | loglstar: 35.289 < 39.117 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19009it [00:29, 539.01it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 401545 | eff(%): 4.602 | loglstar: 35.289 < 39.227 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19081it [00:29, 584.98it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 403201 | eff(%): 4.601 | loglstar: 35.289 < 39.330 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19153it [00:30, 620.75it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 404857 | eff(%): 4.600 | loglstar: 35.289 < 39.454 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19217it [00:30, 623.34it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 406329 | eff(%): 4.599 | loglstar: 35.289 < 39.548 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19288it [00:30, 647.73it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 407962 | eff(%): 4.598 | loglstar: 35.289 < 39.656 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19354it [00:30, 645.84it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 409480 | eff(%): 4.597 | loglstar: 35.289 < 39.724 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19420it [00:30, 520.06it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 410998 | eff(%): 4.596 | loglstar: 35.289 < 39.785 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19491it [00:30, 566.39it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 412631 | eff(%): 4.596 | loglstar: 35.289 < 39.859 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19559it [00:30, 595.97it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 414195 | eff(%): 4.595 | loglstar: 35.289 < 39.913 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19630it [00:30, 625.90it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 415828 | eff(%): 4.594 | loglstar: 35.289 < 39.984 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19701it [00:30, 646.64it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 417461 | eff(%): 4.593 | loglstar: 35.289 < 40.030 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19768it [00:31, 628.22it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 419002 | eff(%): 4.592 | loglstar: 35.289 < 40.075 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "19834it [00:31, 633.52it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 420520 | eff(%): 4.591 | loglstar: 35.289 < 40.120 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "20220it [00:31, 1554.41it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 421324 | eff(%): 4.676 | loglstar: 35.289 < 40.390 < 40.130 | logz: 22.077 +/- 0.117 | stop: 1.146]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "20353it [00:31, 645.81it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 421457 | eff(%): 4.706 | loglstar: 35.289 < 40.563 < 40.130 | logz: 22.077 +/- 0.117 | stop: 0.895] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "264it [00:00, 2637.72it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 354 | eff(%): 30.913 | loglstar: -inf < -15915.503 < inf | logz: -15922.939 +/- 0.122 | dlogz: 15950.318 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "535it [00:00, 2676.74it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 948 | eff(%): 36.948 | loglstar: -inf < -414.145 < inf | logz: -421.617 +/- 0.119 | dlogz: 420.781 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "803it [00:00, 2380.83it/s, batch: 0 | bound: 0 | nc: 3 | ncall: 1926 | eff(%): 33.100 | loglstar: -inf < -82.531 < inf | logz: -88.416 +/- 0.100 | dlogz: 90.639 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1045it [00:00, 2191.69it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 3376 | eff(%): 26.961 | loglstar: -inf < -72.428 < inf | logz: -76.920 +/- 0.086 | dlogz: 108.760 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1268it [00:00, 1878.38it/s, batch: 0 | bound: 0 | nc: 10 | ncall: 5476 | eff(%): 21.218 | loglstar: -inf < -65.705 < inf | logz: -70.721 +/- 0.090 | dlogz: 102.117 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1463it [00:00, 1547.08it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 7856 | eff(%): 17.508 | loglstar: -inf < -60.225 < inf | logz: -65.674 +/- 0.093 | dlogz: 96.682 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1629it [00:01, 1187.81it/s, batch: 0 | bound: 0 | nc: 10 | ncall: 11071 | eff(%): 14.078 | loglstar: -inf < -55.194 < inf | logz: -61.130 +/- 0.099 | dlogz: 91.810 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1764it [00:01, 1154.72it/s, batch: 0 | bound: 0 | nc: 9 | ncall: 14751 | eff(%): 11.566 | loglstar: -inf < -50.875 < inf | logz: -57.177 +/- 0.102 | dlogz: 87.636 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1890it [00:01, 786.47it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 18733 | eff(%): 9.827 | loglstar: -inf < -47.130 < inf | logz: -53.487 +/- 0.103 | dlogz: 83.688 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1989it [00:01, 786.13it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 20911 | eff(%): 9.290 | loglstar: -inf < -43.827 < inf | logz: -50.453 +/- 0.106 | dlogz: 80.459 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2082it [00:01, 774.58it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 22957 | eff(%): 8.876 | loglstar: -inf < -40.781 < inf | logz: -47.757 +/- 0.108 | dlogz: 77.581 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2169it [00:01, 732.90it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 24871 | eff(%): 8.549 | loglstar: -inf < -37.838 < inf | logz: -45.034 +/- 0.110 | dlogz: 74.687 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2249it [00:01, 744.15it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 26631 | eff(%): 8.289 | loglstar: -inf < -35.368 < inf | logz: -42.587 +/- 0.111 | dlogz: 72.075 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2328it [00:02, 752.47it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 28369 | eff(%): 8.064 | loglstar: -inf < -31.997 < inf | logz: -39.508 +/- 0.115 | dlogz: 69.210 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2407it [00:02, 612.41it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 30107 | eff(%): 7.864 | loglstar: -inf < -28.193 < inf | logz: -36.209 +/- 0.118 | dlogz: 65.768 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2484it [00:02, 647.16it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 31801 | eff(%): 7.690 | loglstar: -inf < -24.849 < inf | logz: -32.886 +/- 0.118 | dlogz: 62.283 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2554it [00:02, 567.52it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 33341 | eff(%): 7.547 | loglstar: -inf < -21.477 < inf | logz: -29.572 +/- 0.120 | dlogz: 58.827 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2616it [00:02, 544.98it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 34705 | eff(%): 7.431 | loglstar: -inf < -19.303 < inf | logz: -27.342 +/- 0.119 | dlogz: 56.767 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2696it [00:02, 603.52it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 36465 | eff(%): 7.293 | loglstar: -inf < -16.591 < inf | logz: -24.695 +/- 0.119 | dlogz: 53.958 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2775it [00:02, 648.74it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 38203 | eff(%): 7.170 | loglstar: -inf < -13.906 < inf | logz: -22.163 +/- 0.121 | dlogz: 51.267 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2844it [00:03, 562.27it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 39721 | eff(%): 7.071 | loglstar: -inf < -12.163 < inf | logz: -20.332 +/- 0.120 | dlogz: 49.293 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2923it [00:03, 616.38it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 41459 | eff(%): 6.966 | loglstar: -inf < -9.717 < inf | logz: -18.163 +/- 0.121 | dlogz: 46.968 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3000it [00:03, 654.34it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 43153 | eff(%): 6.872 | loglstar: -inf < -7.669 < inf | logz: -16.091 +/- 0.122 | dlogz: 44.738 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3074it [00:03, 676.98it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 44781 | eff(%): 6.789 | loglstar: -inf < -5.530 < inf | logz: -14.316 +/- 0.123 | dlogz: 42.821 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3150it [00:03, 697.55it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 46453 | eff(%): 6.709 | loglstar: -inf < -3.129 < inf | logz: -12.041 +/- 0.126 | dlogz: 40.393 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3222it [00:03, 655.85it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 48037 | eff(%): 6.638 | loglstar: -inf < -0.870 < inf | logz: -9.883 +/- 0.127 | dlogz: 38.090 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3290it [00:03, 550.89it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 49533 | eff(%): 6.576 | loglstar: -inf < 0.870 < inf | logz: -8.162 +/- 0.127 | dlogz: 36.230 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3368it [00:03, 605.89it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 51249 | eff(%): 6.508 | loglstar: -inf < 3.491 < inf | logz: -5.953 +/- 0.129 | dlogz: 33.872 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3445it [00:03, 646.10it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 52943 | eff(%): 6.446 | loglstar: -inf < 5.482 < inf | logz: -3.934 +/- 0.130 | dlogz: 31.694 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3516it [00:04, 661.57it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 54505 | eff(%): 6.392 | loglstar: -inf < 7.167 < inf | logz: -2.262 +/- 0.130 | dlogz: 29.877 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3594it [00:04, 693.84it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 56221 | eff(%): 6.336 | loglstar: -inf < 9.065 < inf | logz: -0.555 +/- 0.130 | dlogz: 28.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3672it [00:04, 716.93it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 57937 | eff(%): 6.284 | loglstar: -inf < 11.019 < inf | logz: 1.244 +/- 0.132 | dlogz: 26.060 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3746it [00:04, 693.50it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 59565 | eff(%): 6.237 | loglstar: -inf < 12.762 < inf | logz: 2.801 +/- 0.132 | dlogz: 24.357 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3817it [00:04, 591.35it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 61127 | eff(%): 6.194 | loglstar: -inf < 14.589 < inf | logz: 4.513 +/- 0.134 | dlogz: 22.502 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3880it [00:04, 587.81it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 62513 | eff(%): 6.157 | loglstar: -inf < 16.164 < inf | logz: 5.998 +/- 0.135 | dlogz: 20.890 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3957it [00:04, 635.53it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 64207 | eff(%): 6.115 | loglstar: -inf < 17.763 < inf | logz: 7.623 +/- 0.135 | dlogz: 19.204 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4023it [00:04, 641.61it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 65659 | eff(%): 6.081 | loglstar: -inf < 19.174 < inf | logz: 8.864 +/- 0.136 | dlogz: 17.832 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4089it [00:04, 642.95it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 67111 | eff(%): 6.048 | loglstar: -inf < 20.834 < inf | logz: 10.260 +/- 0.137 | dlogz: 16.308 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4155it [00:05, 644.42it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 68563 | eff(%): 6.016 | loglstar: -inf < 21.950 < inf | logz: 11.498 +/- 0.137 | dlogz: 14.933 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4233it [00:05, 682.31it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 70279 | eff(%): 5.981 | loglstar: -inf < 23.579 < inf | logz: 12.903 +/- 0.138 | dlogz: 13.373 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4302it [00:05, 574.52it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 71797 | eff(%): 5.950 | loglstar: -inf < 24.785 < inf | logz: 14.129 +/- 0.139 | dlogz: 12.006 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4371it [00:05, 603.09it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 73315 | eff(%): 5.922 | loglstar: -inf < 25.725 < inf | logz: 15.121 +/- 0.139 | dlogz: 10.873 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4444it [00:05, 637.12it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 74921 | eff(%): 5.892 | loglstar: -inf < 26.786 < inf | logz: 16.020 +/- 0.139 | dlogz: 9.860 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4514it [00:05, 654.12it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 76461 | eff(%): 5.865 | loglstar: -inf < 27.755 < inf | logz: 16.886 +/- 0.139 | dlogz: 8.853 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4582it [00:05, 660.48it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 77957 | eff(%): 5.840 | loglstar: -inf < 28.450 < inf | logz: 17.643 +/- 0.140 | dlogz: 7.959 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4660it [00:05, 694.68it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 79673 | eff(%): 5.812 | loglstar: -inf < 29.184 < inf | logz: 18.365 +/- 0.140 | dlogz: 7.080 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4731it [00:05, 687.53it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 81235 | eff(%): 5.788 | loglstar: -inf < 29.770 < inf | logz: 18.935 +/- 0.140 | dlogz: 6.368 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4801it [00:06, 578.98it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 82775 | eff(%): 5.765 | loglstar: -inf < 30.360 < inf | logz: 19.458 +/- 0.140 | dlogz: 5.706 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4879it [00:06, 630.13it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 84491 | eff(%): 5.741 | loglstar: -inf < 30.921 < inf | logz: 20.010 +/- 0.140 | dlogz: 5.000 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4946it [00:06, 634.41it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 85965 | eff(%): 5.720 | loglstar: -inf < 31.381 < inf | logz: 20.414 +/- 0.140 | dlogz: 4.467 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5024it [00:06, 672.99it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 87681 | eff(%): 5.697 | loglstar: -inf < 31.836 < inf | logz: 20.842 +/- 0.141 | dlogz: 3.891 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5102it [00:06, 702.48it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 89397 | eff(%): 5.675 | loglstar: -inf < 32.254 < inf | logz: 21.229 +/- 0.141 | dlogz: 3.363 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5180it [00:06, 724.33it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 91113 | eff(%): 5.654 | loglstar: -inf < 32.595 < inf | logz: 21.562 +/- 0.141 | dlogz: 2.895 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5258it [00:06, 739.07it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 92829 | eff(%): 5.634 | loglstar: -inf < 32.868 < inf | logz: 21.846 +/- 0.141 | dlogz: 2.484 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5333it [00:06, 613.94it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 94479 | eff(%): 5.615 | loglstar: -inf < 33.097 < inf | logz: 22.077 +/- 0.141 | dlogz: 2.141 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5410it [00:06, 653.83it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 96173 | eff(%): 5.596 | loglstar: -inf < 33.292 < inf | logz: 22.285 +/- 0.141 | dlogz: 1.829 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5484it [00:07, 674.64it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 97801 | eff(%): 5.579 | loglstar: -inf < 33.467 < inf | logz: 22.453 +/- 0.141 | dlogz: 1.571 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5562it [00:07, 701.93it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 99517 | eff(%): 5.561 | loglstar: -inf < 33.684 < inf | logz: 22.611 +/- 0.141 | dlogz: 1.331 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5638it [00:07, 717.13it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 101189 | eff(%): 5.544 | loglstar: -inf < 33.813 < inf | logz: 22.746 +/- 0.141 | dlogz: 1.128 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5716it [00:07, 733.27it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 102905 | eff(%): 5.528 | loglstar: -inf < 33.932 < inf | logz: 22.865 +/- 0.141 | dlogz: 0.951 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5791it [00:07, 589.84it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 104555 | eff(%): 5.512 | loglstar: -inf < 34.033 < inf | logz: 22.962 +/- 0.142 | dlogz: 0.806 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5857it [00:07, 606.30it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 106007 | eff(%): 5.499 | loglstar: -inf < 34.111 < inf | logz: 23.037 +/- 0.142 | dlogz: 0.697 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5933it [00:07, 644.58it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 107679 | eff(%): 5.484 | loglstar: -inf < 34.199 < inf | logz: 23.113 +/- 0.142 | dlogz: 0.589 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6009it [00:07, 673.41it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 109351 | eff(%): 5.470 | loglstar: -inf < 34.285 < inf | logz: 23.179 +/- 0.142 | dlogz: 0.498 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6079it [00:07, 641.41it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 110891 | eff(%): 5.457 | loglstar: -inf < 34.350 < inf | logz: 23.232 +/- 0.142 | dlogz: 0.426 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6146it [00:08, 646.65it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 112365 | eff(%): 5.445 | loglstar: -inf < 34.403 < inf | logz: 23.277 +/- 0.142 | dlogz: 0.368 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6224it [00:08, 681.44it/s, batch: 0 | bound: 10 | nc: 22 | ncall: 114081 | eff(%): 5.432 | loglstar: -inf < 34.444 < inf | logz: 23.323 +/- 0.142 | dlogz: 0.310 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6294it [00:08, 571.79it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 115621 | eff(%): 5.420 | loglstar: -inf < 34.487 < inf | logz: 23.358 +/- 0.142 | dlogz: 0.266 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6360it [00:08, 592.32it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 117073 | eff(%): 5.409 | loglstar: -inf < 34.523 < inf | logz: 23.387 +/- 0.142 | dlogz: 0.231 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6425it [00:08, 607.31it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 118503 | eff(%): 5.399 | loglstar: -inf < 34.551 < inf | logz: 23.412 +/- 0.142 | dlogz: 0.201 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6503it [00:08, 653.67it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 120219 | eff(%): 5.387 | loglstar: -inf < 34.585 < inf | logz: 23.439 +/- 0.142 | dlogz: 0.170 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6577it [00:08, 677.44it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 121847 | eff(%): 5.376 | loglstar: -inf < 34.608 < inf | logz: 23.461 +/- 0.142 | dlogz: 0.145 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6655it [00:08, 706.00it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 123563 | eff(%): 5.364 | loglstar: -inf < 34.628 < inf | logz: 23.480 +/- 0.142 | dlogz: 0.123 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6731it [00:08, 718.71it/s, batch: 0 | bound: 11 | nc: 22 | ncall: 125235 | eff(%): 5.353 | loglstar: -inf < 34.647 < inf | logz: 23.497 +/- 0.142 | dlogz: 0.105 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6804it [00:09, 596.39it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 126841 | eff(%): 5.343 | loglstar: -inf < 34.662 < inf | logz: 23.510 +/- 0.142 | dlogz: 0.090 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6873it [00:09, 619.39it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 128359 | eff(%): 5.334 | loglstar: -inf < 34.671 < inf | logz: 23.522 +/- 0.142 | dlogz: 0.078 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6950it [00:09, 656.21it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 130053 | eff(%): 5.324 | loglstar: -inf < 34.682 < inf | logz: 23.532 +/- 0.142 | dlogz: 0.067 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7029it [00:09, 691.54it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 131791 | eff(%): 5.313 | loglstar: -inf < 34.692 < inf | logz: 23.542 +/- 0.142 | dlogz: 0.057 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7101it [00:09, 686.06it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 133375 | eff(%): 5.304 | loglstar: -inf < 34.698 < inf | logz: 23.549 +/- 0.142 | dlogz: 0.049 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7177it [00:09, 705.07it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 135047 | eff(%): 5.295 | loglstar: -inf < 34.705 < inf | logz: 23.556 +/- 0.142 | dlogz: 0.042 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7252it [00:09, 716.09it/s, batch: 0 | bound: 12 | nc: 22 | ncall: 136697 | eff(%): 5.286 | loglstar: -inf < 34.710 < inf | logz: 23.562 +/- 0.142 | dlogz: 0.036 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7325it [00:09, 596.71it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 138303 | eff(%): 5.277 | loglstar: -inf < 34.714 < inf | logz: 23.567 +/- 0.142 | dlogz: 0.031 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7389it [00:10, 592.95it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 139711 | eff(%): 5.270 | loglstar: -inf < 34.718 < inf | logz: 23.570 +/- 0.142 | dlogz: 0.027 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7455it [00:10, 609.41it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 141163 | eff(%): 5.262 | loglstar: -inf < 34.721 < inf | logz: 23.574 +/- 0.142 | dlogz: 0.024 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7530it [00:10, 645.42it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 142813 | eff(%): 5.254 | loglstar: -inf < 34.725 < inf | logz: 23.577 +/- 0.142 | dlogz: 0.021 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7602it [00:10, 665.47it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 144397 | eff(%): 5.246 | loglstar: -inf < 34.728 < inf | logz: 23.580 +/- 0.142 | dlogz: 0.018 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7681it [00:10, 697.67it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 146135 | eff(%): 5.238 | loglstar: -inf < 34.730 < inf | logz: 23.582 +/- 0.142 | dlogz: 0.015 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7759it [00:10, 719.07it/s, batch: 0 | bound: 13 | nc: 22 | ncall: 147851 | eff(%): 5.230 | loglstar: -inf < 34.732 < inf | logz: 23.584 +/- 0.142 | dlogz: 0.013 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7832it [00:10, 557.73it/s, batch: 0 | bound: 14 | nc: 22 | ncall: 149457 | eff(%): 5.223 | loglstar: -inf < 34.734 < inf | logz: 23.586 +/- 0.142 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8048it [00:10, 947.02it/s, batch: 0 | bound: 14 | nc: 1 | ncall: 150828 | eff(%): 5.324 | loglstar: -inf < 34.738 < inf | logz: 23.590 +/- 0.142 | dlogz: 0.007 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8387it [00:11, 635.95it/s, batch: 1 | bound: 0 | nc: 22 | ncall: 151167 | eff(%): 5.548 | loglstar: 32.780 < 33.655 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8478it [00:11, 648.92it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 153169 | eff(%): 5.164 | loglstar: 32.780 < 33.072 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8564it [00:11, 670.01it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 155061 | eff(%): 5.157 | loglstar: 32.780 < 33.288 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8647it [00:11, 683.99it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 156887 | eff(%): 5.150 | loglstar: 32.780 < 33.507 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8728it [00:11, 701.08it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 158669 | eff(%): 5.144 | loglstar: 32.780 < 33.681 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8808it [00:12, 716.72it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 160429 | eff(%): 5.138 | loglstar: 32.780 < 33.845 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8887it [00:12, 624.25it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 162167 | eff(%): 5.132 | loglstar: 32.780 < 33.956 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8956it [00:12, 621.99it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 163685 | eff(%): 5.127 | loglstar: 32.780 < 34.048 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9026it [00:12, 639.06it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 165225 | eff(%): 5.122 | loglstar: 32.780 < 34.136 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9233it [00:12, 999.87it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 166356 | eff(%): 5.211 | loglstar: 32.780 < 34.336 < 34.170 | logz: 23.597 +/- 0.146 | stop: 4.803] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9570it [00:13, 604.18it/s, batch: 2 | bound: 0 | nc: 22 | ncall: 177193 | eff(%): 5.401 | loglstar: 32.305 < 33.793 < 32.781 | logz: 23.592 +/- 0.120 | stop: 2.886]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9661it [00:13, 620.60it/s, batch: 2 | bound: 1 | nc: 22 | ncall: 179195 | eff(%): 5.080 | loglstar: 32.305 < 32.671 < 32.781 | logz: 23.592 +/- 0.120 | stop: 2.886]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9939it [00:13, 934.44it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 180166 | eff(%): 5.206 | loglstar: 32.305 < 33.751 < 32.781 | logz: 23.592 +/- 0.120 | stop: 2.886] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10194it [00:14, 580.64it/s, batch: 3 | bound: 0 | nc: 22 | ncall: 190921 | eff(%): 5.339 | loglstar: 31.882 < 34.398 < 32.307 | logz: 23.595 +/- 0.112 | stop: 2.353]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10305it [00:14, 623.61it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 192691 | eff(%): 5.060 | loglstar: 31.882 < 32.480 < 32.307 | logz: 23.595 +/- 0.112 | stop: 2.353] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10773it [00:15, 612.09it/s, batch: 4 | bound: 0 | nc: 22 | ncall: 203659 | eff(%): 5.290 | loglstar: 31.497 < 31.799 < 31.887 | logz: 23.601 +/- 0.106 | stop: 2.035]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10865it [00:15, 630.83it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 205431 | eff(%): 5.020 | loglstar: 31.497 < 31.940 < 31.887 | logz: 23.601 +/- 0.106 | stop: 2.035] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11353it [00:16, 624.26it/s, batch: 5 | bound: 0 | nc: 22 | ncall: 216419 | eff(%): 5.246 | loglstar: 31.123 < 31.139 < 31.497 | logz: 23.578 +/- 0.103 | stop: 1.820]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11447it [00:16, 650.29it/s, batch: 5 | bound: 1 | nc: 1 | ncall: 217899 | eff(%): 5.002 | loglstar: 31.123 < 31.674 < 31.497 | logz: 23.578 +/- 0.103 | stop: 1.820] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11919it [00:16, 624.20it/s, batch: 6 | bound: 0 | nc: 22 | ncall: 228871 | eff(%): 5.208 | loglstar: 30.707 < 33.939 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11996it [00:17, 631.01it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 230565 | eff(%): 4.966 | loglstar: 30.707 < 31.184 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12071it [00:17, 632.56it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 232215 | eff(%): 4.963 | loglstar: 30.707 < 31.683 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12148it [00:17, 649.23it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 233909 | eff(%): 4.960 | loglstar: 30.707 < 32.122 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12224it [00:17, 665.04it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 235581 | eff(%): 4.957 | loglstar: 30.707 < 32.424 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12302it [00:17, 683.82it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 237297 | eff(%): 4.955 | loglstar: 30.707 < 32.728 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12377it [00:17, 695.42it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 238947 | eff(%): 4.952 | loglstar: 30.707 < 33.042 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12452it [00:17, 601.92it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 240597 | eff(%): 4.949 | loglstar: 30.707 < 33.238 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12527it [00:17, 632.18it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 242247 | eff(%): 4.947 | loglstar: 30.707 < 33.420 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12602it [00:17, 658.07it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 243897 | eff(%): 4.944 | loglstar: 30.707 < 33.596 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12679it [00:18, 685.81it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 245591 | eff(%): 4.941 | loglstar: 30.707 < 33.757 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12757it [00:18, 707.91it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 247307 | eff(%): 4.939 | loglstar: 30.707 < 33.900 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12835it [00:18, 726.34it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 249023 | eff(%): 4.936 | loglstar: 30.707 < 34.021 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12910it [00:18, 676.54it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 250673 | eff(%): 4.934 | loglstar: 30.707 < 34.119 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12980it [00:18, 578.72it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 252213 | eff(%): 4.931 | loglstar: 30.707 < 34.197 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13050it [00:18, 607.73it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 253753 | eff(%): 4.929 | loglstar: 30.707 < 34.279 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13114it [00:18, 616.00it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 255161 | eff(%): 4.927 | loglstar: 30.707 < 34.328 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13193it [00:18, 661.41it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 256899 | eff(%): 4.925 | loglstar: 30.707 < 34.386 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13270it [00:18, 689.95it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 258593 | eff(%): 4.922 | loglstar: 30.707 < 34.436 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13348it [00:19, 712.90it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 260309 | eff(%): 4.920 | loglstar: 30.707 < 34.479 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13421it [00:19, 700.35it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 261831 | eff(%): 4.919 | loglstar: 30.707 < 34.518 < 34.516 | logz: 23.575 +/- 0.099 | stop: 1.671] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13917it [00:19, 626.31it/s, batch: 7 | bound: 0 | nc: 22 | ncall: 272827 | eff(%): 5.101 | loglstar: 30.312 < 34.348 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13988it [00:20, 635.27it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 274389 | eff(%): 4.901 | loglstar: 30.312 < 30.678 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14065it [00:20, 653.77it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 276083 | eff(%): 4.899 | loglstar: 30.312 < 31.136 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14142it [00:20, 673.46it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 277777 | eff(%): 4.897 | loglstar: 30.312 < 31.544 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14215it [00:20, 672.21it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 279383 | eff(%): 4.895 | loglstar: 30.312 < 31.932 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14292it [00:20, 692.13it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 281077 | eff(%): 4.893 | loglstar: 30.312 < 32.295 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14368it [00:20, 706.78it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 282749 | eff(%): 4.891 | loglstar: 30.312 < 32.629 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14442it [00:20, 609.78it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 284377 | eff(%): 4.889 | loglstar: 30.312 < 32.876 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14519it [00:20, 645.69it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 286071 | eff(%): 4.887 | loglstar: 30.312 < 33.127 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14595it [00:20, 672.20it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 287743 | eff(%): 4.885 | loglstar: 30.312 < 33.371 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14673it [00:21, 697.04it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 289459 | eff(%): 4.884 | loglstar: 30.312 < 33.556 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14746it [00:21, 692.32it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 291065 | eff(%): 4.882 | loglstar: 30.312 < 33.705 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14823it [00:21, 712.34it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 292759 | eff(%): 4.880 | loglstar: 30.312 < 33.859 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14898it [00:21, 719.35it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 294409 | eff(%): 4.878 | loglstar: 30.312 < 33.970 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14971it [00:21, 590.71it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 296015 | eff(%): 4.876 | loglstar: 30.312 < 34.071 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15047it [00:21, 632.41it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 297687 | eff(%): 4.875 | loglstar: 30.312 < 34.174 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15115it [00:21, 618.51it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 299183 | eff(%): 4.873 | loglstar: 30.312 < 34.233 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15186it [00:21, 638.90it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 300745 | eff(%): 4.871 | loglstar: 30.312 < 34.303 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15614it [00:21, 1633.99it/s, batch: 7 | bound: 3 | nc: 1 | ncall: 301488 | eff(%): 5.003 | loglstar: 30.312 < 34.660 < 34.316 | logz: 23.582 +/- 0.088 | stop: 1.251]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15789it [00:22, 514.11it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 314011 | eff(%): 4.858 | loglstar: 29.890 < 30.662 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15917it [00:23, 557.90it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 316827 | eff(%): 4.855 | loglstar: 29.890 < 31.446 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16030it [00:23, 577.52it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 319313 | eff(%): 4.853 | loglstar: 29.890 < 32.062 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16129it [00:23, 596.83it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 321491 | eff(%): 4.851 | loglstar: 29.890 < 32.526 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16219it [00:23, 559.93it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 323471 | eff(%): 4.849 | loglstar: 29.890 < 32.847 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16296it [00:23, 587.66it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 325165 | eff(%): 4.848 | loglstar: 29.890 < 33.079 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16371it [00:23, 613.79it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 326815 | eff(%): 4.846 | loglstar: 29.890 < 33.284 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16446it [00:23, 617.14it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 328465 | eff(%): 4.845 | loglstar: 29.890 < 33.477 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16517it [00:23, 635.45it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 330027 | eff(%): 4.843 | loglstar: 29.890 < 33.605 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16589it [00:24, 655.14it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 331611 | eff(%): 4.842 | loglstar: 29.890 < 33.734 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16667it [00:24, 687.25it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 333327 | eff(%): 4.840 | loglstar: 29.890 < 33.870 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16740it [00:24, 589.31it/s, batch: 8 | bound: 3 | nc: 22 | ncall: 334933 | eff(%): 4.839 | loglstar: 29.890 < 33.978 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16810it [00:24, 615.41it/s, batch: 8 | bound: 3 | nc: 22 | ncall: 336473 | eff(%): 4.838 | loglstar: 29.890 < 34.084 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17013it [00:24, 981.32it/s, batch: 8 | bound: 3 | nc: 1 | ncall: 337831 | eff(%): 4.879 | loglstar: 29.890 < 34.310 < 34.157 | logz: 23.551 +/- 0.081 | stop: 1.021] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17365it [00:24, 1248.07it/s, batch: 8 | bound: 3 | nc: 1 | ncall: 338183 | eff(%): 4.980 | loglstar: 29.890 < 34.744 < 34.157 | logz: 23.551 +/- 0.081 | stop: 0.875]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17365it [00:24, 701.10it/s, batch: 8 | bound: 3 | nc: 1 | ncall: 338183 | eff(%): 4.980 | loglstar: 29.890 < 34.744 < 34.157 | logz: 23.551 +/- 0.081 | stop: 0.875] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "------------------------------\n", "Linear vs Constant\n", "logZ(linear) = 22.072 ± 0.106\n", "logZ(constant) = 23.560 ± 0.077\n", "log Bayes factor = -1.488\n", "Zero-slope model favored\n", "========================\n", "Linear fit parameters:\n", "b = 3.060577 +/- 0.016679\n", "ln_f = -3.951362 +/- 0.224722\n", "------------------------------\n", "==================================================\n", "Line-center intensity [%]\n", "----------------------------------------\n", "$\\mu$\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "226it [00:00, 2257.57it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 283 | eff(%): 28.863 | loglstar: -inf < -22527.870 < inf | logz: -22535.229 +/- 0.121 | dlogz: 22629.095 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "458it [00:00, 2291.00it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 760 | eff(%): 36.349 | loglstar: -inf < -996.756 < inf | logz: -1004.579 +/- 0.125 | dlogz: 1001.045 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "707it [00:00, 2381.45it/s, batch: 0 | bound: 0 | nc: 9 | ncall: 1576 | eff(%): 34.056 | loglstar: -inf < -126.720 < inf | logz: -133.888 +/- 0.116 | dlogz: 113.351 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "946it [00:00, 1994.39it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 2757 | eff(%): 29.045 | loglstar: -inf < -77.370 < inf | logz: -82.415 +/- 0.090 | dlogz: 60.581 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1154it [00:00, 1913.91it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 4516 | eff(%): 23.006 | loglstar: -inf < -70.050 < inf | logz: -75.224 +/- 0.089 | dlogz: 52.962 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1351it [00:00, 1064.65it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 6877 | eff(%): 18.314 | loglstar: -inf < -62.398 < inf | logz: -68.175 +/- 0.097 | dlogz: 47.680 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1499it [00:01, 1046.43it/s, batch: 0 | bound: 0 | nc: 12 | ncall: 9494 | eff(%): 14.999 | loglstar: -inf < -57.510 < inf | logz: -63.183 +/- 0.097 | dlogz: 42.377 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1631it [00:01, 930.95it/s, batch: 0 | bound: 0 | nc: 8 | ncall: 12434 | eff(%): 12.610 | loglstar: -inf < -53.651 < inf | logz: -59.510 +/- 0.098 | dlogz: 47.382 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1743it [00:01, 903.85it/s, batch: 0 | bound: 0 | nc: 37 | ncall: 15832 | eff(%): 10.672 | loglstar: -inf < -51.570 < inf | logz: -57.248 +/- 0.097 | dlogz: 44.887 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1846it [00:01, 754.59it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 18848 | eff(%): 9.541 | loglstar: -inf < -48.959 < inf | logz: -55.058 +/- 0.100 | dlogz: 42.496 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1932it [00:01, 747.73it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 20826 | eff(%): 9.059 | loglstar: -inf < -47.055 < inf | logz: -53.227 +/- 0.101 | dlogz: 40.491 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2014it [00:01, 669.53it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 22712 | eff(%): 8.677 | loglstar: -inf < -45.693 < inf | logz: -51.767 +/- 0.101 | dlogz: 38.863 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2086it [00:02, 676.46it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 24368 | eff(%): 8.388 | loglstar: -inf < -44.419 < inf | logz: -50.631 +/- 0.102 | dlogz: 37.582 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2158it [00:02, 683.97it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 26024 | eff(%): 8.136 | loglstar: -inf < -43.048 < inf | logz: -49.519 +/- 0.103 | dlogz: 36.328 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2230it [00:02, 691.22it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 27680 | eff(%): 7.913 | loglstar: -inf < -41.691 < inf | logz: -48.254 +/- 0.105 | dlogz: 34.919 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2302it [00:02, 688.62it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 29336 | eff(%): 7.716 | loglstar: -inf < -40.496 < inf | logz: -47.114 +/- 0.105 | dlogz: 33.633 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2373it [00:02, 687.20it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 30969 | eff(%): 7.541 | loglstar: -inf < -39.627 < inf | logz: -46.188 +/- 0.105 | dlogz: 32.563 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2443it [00:02, 688.92it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 32579 | eff(%): 7.385 | loglstar: -inf < -38.707 < inf | logz: -45.358 +/- 0.106 | dlogz: 31.592 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2513it [00:02, 602.99it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 34189 | eff(%): 7.244 | loglstar: -inf < -37.613 < inf | logz: -44.536 +/- 0.106 | dlogz: 30.633 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2584it [00:02, 630.24it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 35822 | eff(%): 7.114 | loglstar: -inf < -36.440 < inf | logz: -43.564 +/- 0.109 | dlogz: 29.519 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2649it [00:02, 625.05it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 37317 | eff(%): 7.005 | loglstar: -inf < -35.604 < inf | logz: -42.713 +/- 0.110 | dlogz: 28.536 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2718it [00:02, 641.26it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 38904 | eff(%): 6.898 | loglstar: -inf < -34.447 < inf | logz: -41.798 +/- 0.111 | dlogz: 27.485 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2786it [00:03, 650.24it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 40468 | eff(%): 6.800 | loglstar: -inf < -33.365 < inf | logz: -40.844 +/- 0.113 | dlogz: 26.395 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2855it [00:03, 661.40it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 42055 | eff(%): 6.709 | loglstar: -inf < -32.564 < inf | logz: -39.972 +/- 0.113 | dlogz: 25.382 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2926it [00:03, 675.35it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 43688 | eff(%): 6.622 | loglstar: -inf < -31.679 < inf | logz: -39.197 +/- 0.114 | dlogz: 24.466 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2997it [00:03, 685.48it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 45321 | eff(%): 6.541 | loglstar: -inf < -30.713 < inf | logz: -38.429 +/- 0.114 | dlogz: 23.715 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3066it [00:03, 582.09it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 46908 | eff(%): 6.467 | loglstar: -inf < -29.577 < inf | logz: -37.577 +/- 0.116 | dlogz: 22.726 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3137it [00:03, 614.72it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 48541 | eff(%): 6.397 | loglstar: -inf < -28.664 < inf | logz: -36.690 +/- 0.118 | dlogz: 21.696 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3203it [00:03, 625.96it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 50059 | eff(%): 6.335 | loglstar: -inf < -27.886 < inf | logz: -35.950 +/- 0.118 | dlogz: 20.823 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3274it [00:03, 648.66it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 51692 | eff(%): 6.273 | loglstar: -inf < -27.021 < inf | logz: -35.219 +/- 0.119 | dlogz: 19.951 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3345it [00:03, 665.42it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 53325 | eff(%): 6.215 | loglstar: -inf < -26.112 < inf | logz: -34.454 +/- 0.120 | dlogz: 20.341 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3416it [00:04, 677.38it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 54958 | eff(%): 6.160 | loglstar: -inf < -25.147 < inf | logz: -33.663 +/- 0.121 | dlogz: 19.409 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3487it [00:04, 686.21it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 56591 | eff(%): 6.108 | loglstar: -inf < -24.312 < inf | logz: -32.894 +/- 0.122 | dlogz: 18.497 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3557it [00:04, 591.49it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 58201 | eff(%): 6.060 | loglstar: -inf < -23.470 < inf | logz: -32.181 +/- 0.123 | dlogz: 17.644 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3619it [00:04, 590.89it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 59627 | eff(%): 6.019 | loglstar: -inf < -22.598 < inf | logz: -31.546 +/- 0.124 | dlogz: 16.887 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3689it [00:04, 619.40it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 61237 | eff(%): 5.975 | loglstar: -inf < -21.880 < inf | logz: -30.806 +/- 0.125 | dlogz: 16.005 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3760it [00:04, 643.99it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 62870 | eff(%): 5.933 | loglstar: -inf < -20.990 < inf | logz: -30.102 +/- 0.126 | dlogz: 15.569 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3828it [00:04, 652.14it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 64434 | eff(%): 5.895 | loglstar: -inf < -20.226 < inf | logz: -29.429 +/- 0.127 | dlogz: 14.759 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3899it [00:04, 666.53it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 66067 | eff(%): 5.857 | loglstar: -inf < -19.542 < inf | logz: -28.805 +/- 0.127 | dlogz: 13.992 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3967it [00:04, 667.31it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 67631 | eff(%): 5.823 | loglstar: -inf < -18.914 < inf | logz: -28.239 +/- 0.128 | dlogz: 13.290 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4035it [00:05, 581.29it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 69195 | eff(%): 5.790 | loglstar: -inf < -18.128 < inf | logz: -27.670 +/- 0.129 | dlogz: 12.586 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4106it [00:05, 615.00it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 70828 | eff(%): 5.757 | loglstar: -inf < -17.494 < inf | logz: -27.067 +/- 0.130 | dlogz: 11.840 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4170it [00:05, 618.40it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 72300 | eff(%): 5.728 | loglstar: -inf < -16.962 < inf | logz: -26.583 +/- 0.130 | dlogz: 11.228 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4241it [00:05, 642.41it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 73933 | eff(%): 5.698 | loglstar: -inf < -16.231 < inf | logz: -26.036 +/- 0.131 | dlogz: 10.538 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4312it [00:05, 658.72it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 75566 | eff(%): 5.669 | loglstar: -inf < -15.538 < inf | logz: -25.498 +/- 0.132 | dlogz: 9.871 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4384it [00:05, 673.97it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 77222 | eff(%): 5.641 | loglstar: -inf < -14.901 < inf | logz: -24.953 +/- 0.133 | dlogz: 9.190 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4453it [00:05, 649.07it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 78809 | eff(%): 5.615 | loglstar: -inf < -14.368 < inf | logz: -24.474 +/- 0.134 | dlogz: 8.573 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4519it [00:05, 557.60it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 80327 | eff(%): 5.591 | loglstar: -inf < -13.936 < inf | logz: -24.060 +/- 0.134 | dlogz: 8.027 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4588it [00:05, 589.94it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 81914 | eff(%): 5.567 | loglstar: -inf < -13.436 < inf | logz: -23.657 +/- 0.135 | dlogz: 7.485 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4650it [00:06, 590.23it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 83340 | eff(%): 5.546 | loglstar: -inf < -12.986 < inf | logz: -23.309 +/- 0.135 | dlogz: 7.023 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4721it [00:06, 621.45it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 84973 | eff(%): 5.523 | loglstar: -inf < -12.528 < inf | logz: -22.928 +/- 0.136 | dlogz: 6.501 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4785it [00:06, 610.33it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 86445 | eff(%): 5.503 | loglstar: -inf < -12.156 < inf | logz: -22.605 +/- 0.136 | dlogz: 6.083 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4850it [00:06, 620.28it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 87940 | eff(%): 5.484 | loglstar: -inf < -11.810 < inf | logz: -22.301 +/- 0.136 | dlogz: 5.649 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4920it [00:06, 642.53it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 89550 | eff(%): 5.464 | loglstar: -inf < -11.457 < inf | logz: -22.006 +/- 0.137 | dlogz: 5.346 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4991it [00:06, 661.49it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 91183 | eff(%): 5.444 | loglstar: -inf < -10.983 < inf | logz: -21.708 +/- 0.137 | dlogz: 4.909 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5058it [00:06, 568.76it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 92724 | eff(%): 5.426 | loglstar: -inf < -10.692 < inf | logz: -21.441 +/- 0.138 | dlogz: 4.511 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5118it [00:06, 570.43it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 94104 | eff(%): 5.410 | loglstar: -inf < -10.372 < inf | logz: -21.213 +/- 0.138 | dlogz: 4.168 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5177it [00:06, 533.08it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 95461 | eff(%): 5.395 | loglstar: -inf < -10.139 < inf | logz: -21.003 +/- 0.139 | dlogz: 3.846 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5239it [00:07, 555.27it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 96887 | eff(%): 5.380 | loglstar: -inf < -9.893 < inf | logz: -20.801 +/- 0.139 | dlogz: 3.527 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5296it [00:07, 540.76it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 98198 | eff(%): 5.366 | loglstar: -inf < -9.692 < inf | logz: -20.630 +/- 0.139 | dlogz: 3.259 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5356it [00:07, 555.84it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 99578 | eff(%): 5.352 | loglstar: -inf < -9.514 < inf | logz: -20.466 +/- 0.140 | dlogz: 2.987 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5426it [00:07, 593.85it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 101188 | eff(%): 5.336 | loglstar: -inf < -9.289 < inf | logz: -20.292 +/- 0.140 | dlogz: 2.692 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5493it [00:07, 613.59it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 102729 | eff(%): 5.321 | loglstar: -inf < -9.118 < inf | logz: -20.144 +/- 0.140 | dlogz: 2.431 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5555it [00:07, 550.45it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 104155 | eff(%): 5.308 | loglstar: -inf < -8.936 < inf | logz: -20.018 +/- 0.140 | dlogz: 2.205 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5612it [00:07, 553.82it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 105466 | eff(%): 5.296 | loglstar: -inf < -8.801 < inf | logz: -19.910 +/- 0.140 | dlogz: 2.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5671it [00:07, 559.59it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 106823 | eff(%): 5.284 | loglstar: -inf < -8.640 < inf | logz: -19.805 +/- 0.141 | dlogz: 1.821 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5742it [00:07, 598.58it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 108456 | eff(%): 5.270 | loglstar: -inf < -8.493 < inf | logz: -19.692 +/- 0.141 | dlogz: 1.611 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5813it [00:08, 627.53it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 110089 | eff(%): 5.256 | loglstar: -inf < -8.363 < inf | logz: -19.590 +/- 0.141 | dlogz: 1.421 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5877it [00:08, 583.53it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 111561 | eff(%): 5.244 | loglstar: -inf < -8.247 < inf | logz: -19.507 +/- 0.141 | dlogz: 1.266 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5938it [00:08, 589.40it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 112964 | eff(%): 5.233 | loglstar: -inf < -8.146 < inf | logz: -19.436 +/- 0.141 | dlogz: 1.131 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6002it [00:08, 531.74it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 114436 | eff(%): 5.222 | loglstar: -inf < -8.046 < inf | logz: -19.367 +/- 0.141 | dlogz: 1.002 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6060it [00:08, 543.99it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 115770 | eff(%): 5.212 | loglstar: -inf < -7.943 < inf | logz: -19.310 +/- 0.142 | dlogz: 0.896 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6131it [00:08, 588.47it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 117403 | eff(%): 5.200 | loglstar: -inf < -7.837 < inf | logz: -19.246 +/- 0.142 | dlogz: 0.779 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6202it [00:08, 621.64it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 119036 | eff(%): 5.188 | loglstar: -inf < -7.761 < inf | logz: -19.189 +/- 0.142 | dlogz: 0.681 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6273it [00:08, 644.21it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 120669 | eff(%): 5.177 | loglstar: -inf < -7.686 < inf | logz: -19.138 +/- 0.142 | dlogz: 0.590 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6339it [00:08, 597.58it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 122187 | eff(%): 5.167 | loglstar: -inf < -7.615 < inf | logz: -19.095 +/- 0.142 | dlogz: 0.516 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6410it [00:09, 626.17it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 123820 | eff(%): 5.156 | loglstar: -inf < -7.534 < inf | logz: -19.054 +/- 0.142 | dlogz: 0.446 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6481it [00:09, 647.63it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 125453 | eff(%): 5.146 | loglstar: -inf < -7.479 < inf | logz: -19.017 +/- 0.142 | dlogz: 0.385 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6547it [00:09, 564.44it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 126971 | eff(%): 5.136 | loglstar: -inf < -7.423 < inf | logz: -18.987 +/- 0.142 | dlogz: 0.336 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6612it [00:09, 585.54it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 128466 | eff(%): 5.127 | loglstar: -inf < -7.364 < inf | logz: -18.959 +/- 0.143 | dlogz: 0.294 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6683it [00:09, 617.76it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 130099 | eff(%): 5.117 | loglstar: -inf < -7.316 < inf | logz: -18.933 +/- 0.143 | dlogz: 0.254 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6754it [00:09, 643.13it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 131732 | eff(%): 5.108 | loglstar: -inf < -7.270 < inf | logz: -18.909 +/- 0.143 | dlogz: 0.219 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6822it [00:09, 653.52it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 133296 | eff(%): 5.099 | loglstar: -inf < -7.234 < inf | logz: -18.889 +/- 0.143 | dlogz: 0.190 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6889it [00:09, 636.38it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 134837 | eff(%): 5.090 | loglstar: -inf < -7.204 < inf | logz: -18.872 +/- 0.143 | dlogz: 0.165 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6954it [00:09, 601.39it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 136332 | eff(%): 5.082 | loglstar: -inf < -7.178 < inf | logz: -18.857 +/- 0.143 | dlogz: 0.145 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7015it [00:10, 497.27it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 137735 | eff(%): 5.075 | loglstar: -inf < -7.150 < inf | logz: -18.844 +/- 0.143 | dlogz: 0.128 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7086it [00:10, 548.10it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 139368 | eff(%): 5.066 | loglstar: -inf < -7.118 < inf | logz: -18.831 +/- 0.143 | dlogz: 0.110 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7150it [00:10, 570.89it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 140840 | eff(%): 5.059 | loglstar: -inf < -7.097 < inf | logz: -18.821 +/- 0.143 | dlogz: 0.097 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7210it [00:10, 577.54it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 142220 | eff(%): 5.052 | loglstar: -inf < -7.074 < inf | logz: -18.812 +/- 0.143 | dlogz: 0.085 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7277it [00:10, 602.19it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 143761 | eff(%): 5.044 | loglstar: -inf < -7.054 < inf | logz: -18.803 +/- 0.143 | dlogz: 0.075 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7349it [00:10, 633.58it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 145417 | eff(%): 5.036 | loglstar: -inf < -7.029 < inf | logz: -18.795 +/- 0.143 | dlogz: 0.064 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7420it [00:10, 655.49it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 147050 | eff(%): 5.029 | loglstar: -inf < -7.011 < inf | logz: -18.788 +/- 0.143 | dlogz: 0.056 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7491it [00:10, 669.19it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 148683 | eff(%): 5.021 | loglstar: -inf < -6.995 < inf | logz: -18.781 +/- 0.143 | dlogz: 0.048 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7559it [00:10, 586.83it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 150247 | eff(%): 5.014 | loglstar: -inf < -6.982 < inf | logz: -18.776 +/- 0.143 | dlogz: 0.042 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7624it [00:11, 602.62it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 151742 | eff(%): 5.008 | loglstar: -inf < -6.968 < inf | logz: -18.772 +/- 0.143 | dlogz: 0.037 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7690it [00:11, 617.06it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 153260 | eff(%): 5.001 | loglstar: -inf < -6.958 < inf | logz: -18.768 +/- 0.143 | dlogz: 0.032 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7754it [00:11, 618.63it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 154732 | eff(%): 4.995 | loglstar: -inf < -6.947 < inf | logz: -18.764 +/- 0.143 | dlogz: 0.028 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7822it [00:11, 633.86it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 156296 | eff(%): 4.989 | loglstar: -inf < -6.938 < inf | logz: -18.761 +/- 0.143 | dlogz: 0.025 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7887it [00:11, 621.08it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 157791 | eff(%): 4.983 | loglstar: -inf < -6.929 < inf | logz: -18.758 +/- 0.143 | dlogz: 0.022 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7958it [00:11, 645.84it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 159424 | eff(%): 4.976 | loglstar: -inf < -6.919 < inf | logz: -18.756 +/- 0.143 | dlogz: 0.019 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8024it [00:11, 571.52it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 160942 | eff(%): 4.970 | loglstar: -inf < -6.910 < inf | logz: -18.753 +/- 0.143 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8091it [00:11, 597.29it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 162483 | eff(%): 4.964 | loglstar: -inf < -6.904 < inf | logz: -18.752 +/- 0.143 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8163it [00:11, 628.62it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 164139 | eff(%): 4.958 | loglstar: -inf < -6.895 < inf | logz: -18.750 +/- 0.143 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8229it [00:12, 635.41it/s, batch: 0 | bound: 14 | nc: 23 | ncall: 165657 | eff(%): 4.953 | loglstar: -inf < -6.890 < inf | logz: -18.748 +/- 0.143 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8485it [00:12, 1186.74it/s, batch: 0 | bound: 14 | nc: 1 | ncall: 166815 | eff(%): 5.078 | loglstar: -inf < -6.868 < inf | logz: -18.743 +/- 0.143 | dlogz: 0.006 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8770it [00:12, 609.53it/s, batch: 1 | bound: 0 | nc: 23 | ncall: 167100 | eff(%): 5.248 | loglstar: -9.507 < -7.371 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8868it [00:12, 619.99it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 169354 | eff(%): 4.903 | loglstar: -9.507 < -9.214 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8957it [00:13, 635.36it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 171401 | eff(%): 4.897 | loglstar: -9.507 < -8.997 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9040it [00:13, 633.31it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 173310 | eff(%): 4.892 | loglstar: -9.507 < -8.804 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9117it [00:13, 640.47it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 175081 | eff(%): 4.886 | loglstar: -9.507 < -8.639 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9191it [00:13, 630.06it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 176783 | eff(%): 4.881 | loglstar: -9.507 < -8.508 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9261it [00:13, 642.15it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 178393 | eff(%): 4.877 | loglstar: -9.507 < -8.387 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9331it [00:13, 577.66it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 180003 | eff(%): 4.873 | loglstar: -9.507 < -8.258 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9395it [00:13, 591.63it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 181475 | eff(%): 4.869 | loglstar: -9.507 < -8.164 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9466it [00:13, 620.31it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 183108 | eff(%): 4.864 | loglstar: -9.507 < -8.019 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9531it [00:14, 596.00it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 184603 | eff(%): 4.860 | loglstar: -9.507 < -7.922 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9593it [00:14, 595.80it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 186029 | eff(%): 4.857 | loglstar: -9.507 < -7.841 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9723it [00:14, 785.76it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 187501 | eff(%): 4.888 | loglstar: -9.507 < -7.658 < -7.743 | logz: -18.738 +/- 0.147 | stop: 4.027] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10154it [00:15, 586.69it/s, batch: 2 | bound: 0 | nc: 23 | ncall: 198932 | eff(%): 5.104 | loglstar: -10.103 < -8.618 < -9.507 | logz: -18.754 +/- 0.122 | stop: 2.415]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10227it [00:15, 592.06it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 200611 | eff(%): 4.822 | loglstar: -10.103 < -9.871 < -9.507 | logz: -18.754 +/- 0.122 | stop: 2.415]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10297it [00:15, 600.25it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 202221 | eff(%): 4.818 | loglstar: -10.103 < -9.640 < -9.507 | logz: -18.754 +/- 0.122 | stop: 2.415]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10530it [00:15, 886.45it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 203422 | eff(%): 4.904 | loglstar: -10.103 < -8.732 < -9.507 | logz: -18.754 +/- 0.122 | stop: 2.415] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10841it [00:16, 564.01it/s, batch: 3 | bound: 0 | nc: 23 | ncall: 214733 | eff(%): 5.049 | loglstar: -10.572 < -8.932 < -10.102 | logz: -18.740 +/- 0.114 | stop: 1.982]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10936it [00:16, 577.67it/s, batch: 3 | bound: 1 | nc: 23 | ncall: 216918 | eff(%): 4.788 | loglstar: -10.572 < -10.117 < -10.102 | logz: -18.740 +/- 0.114 | stop: 1.982]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11419it [00:16, 1111.07it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 217511 | eff(%): 4.997 | loglstar: -10.572 < -7.218 < -10.102 | logz: -18.740 +/- 0.114 | stop: 1.982] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11624it [00:17, 556.33it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 230938 | eff(%): 4.796 | loglstar: -11.023 < -10.276 < -10.572 | logz: -18.722 +/- 0.109 | stop: 1.755]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12042it [00:18, 530.39it/s, batch: 5 | bound: 0 | nc: 23 | ncall: 242356 | eff(%): 4.969 | loglstar: -11.426 < -8.494 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12162it [00:18, 547.27it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 245116 | eff(%): 4.739 | loglstar: -11.426 < -10.798 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12267it [00:18, 566.18it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 247531 | eff(%): 4.736 | loglstar: -11.426 < -10.351 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12361it [00:18, 579.69it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 249693 | eff(%): 4.733 | loglstar: -11.426 < -9.990 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12447it [00:18, 597.31it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 251671 | eff(%): 4.730 | loglstar: -11.426 < -9.664 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12528it [00:18, 612.99it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 253534 | eff(%): 4.727 | loglstar: -11.426 < -9.432 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12606it [00:19, 573.43it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 255328 | eff(%): 4.724 | loglstar: -11.426 < -9.174 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12674it [00:19, 580.60it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 256892 | eff(%): 4.722 | loglstar: -11.426 < -8.928 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12744it [00:19, 603.61it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 258502 | eff(%): 4.720 | loglstar: -11.426 < -8.764 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12815it [00:19, 625.39it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 260135 | eff(%): 4.718 | loglstar: -11.426 < -8.589 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12883it [00:19, 586.69it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 261699 | eff(%): 4.716 | loglstar: -11.426 < -8.468 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12948it [00:19, 601.22it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 263194 | eff(%): 4.714 | loglstar: -11.426 < -8.348 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13019it [00:19, 628.18it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 264827 | eff(%): 4.711 | loglstar: -11.426 < -8.217 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13085it [00:19, 564.33it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 266345 | eff(%): 4.709 | loglstar: -11.426 < -8.128 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13145it [00:19, 569.91it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 267725 | eff(%): 4.708 | loglstar: -11.426 < -8.034 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13216it [00:20, 604.56it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 269358 | eff(%): 4.706 | loglstar: -11.426 < -7.923 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13286it [00:20, 626.30it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 270968 | eff(%): 4.704 | loglstar: -11.426 < -7.829 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13356it [00:20, 645.84it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 272578 | eff(%): 4.702 | loglstar: -11.426 < -7.722 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13427it [00:20, 661.20it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 274211 | eff(%): 4.700 | loglstar: -11.426 < -7.649 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13494it [00:20, 655.32it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 275752 | eff(%): 4.698 | loglstar: -11.426 < -7.578 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13561it [00:20, 542.15it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 277293 | eff(%): 4.696 | loglstar: -11.426 < -7.518 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13619it [00:20, 512.55it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 278627 | eff(%): 4.694 | loglstar: -11.426 < -7.473 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13673it [00:20, 518.98it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 279869 | eff(%): 4.693 | loglstar: -11.426 < -7.428 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13727it [00:21, 468.06it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 281111 | eff(%): 4.691 | loglstar: -11.426 < -7.385 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13835it [00:21, 622.20it/s, batch: 5 | bound: 4 | nc: 1 | ncall: 282539 | eff(%): 4.706 | loglstar: -11.426 < -7.304 < -7.338 | logz: -18.735 +/- 0.106 | stop: 1.602] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14287it [00:22, 540.72it/s, batch: 6 | bound: 0 | nc: 23 | ncall: 293991 | eff(%): 4.860 | loglstar: -11.936 < -8.314 < -11.424 | logz: -18.752 +/- 0.093 | stop: 1.165]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14351it [00:22, 550.94it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 295463 | eff(%): 4.675 | loglstar: -11.936 < -11.627 < -11.424 | logz: -18.752 +/- 0.093 | stop: 1.165]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14558it [00:22, 756.88it/s, batch: 6 | bound: 1 | nc: 1 | ncall: 296572 | eff(%): 4.728 | loglstar: -11.936 < -10.473 < -11.424 | logz: -18.752 +/- 0.093 | stop: 1.165] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14892it [00:23, 520.84it/s, batch: 7 | bound: 0 | nc: 23 | ncall: 307906 | eff(%): 4.837 | loglstar: -12.413 < -9.621 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14978it [00:23, 536.46it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 309884 | eff(%): 4.660 | loglstar: -12.413 < -11.900 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15058it [00:23, 543.27it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 311724 | eff(%): 4.659 | loglstar: -12.413 < -11.585 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15131it [00:23, 537.21it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 313403 | eff(%): 4.657 | loglstar: -12.413 < -11.144 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15199it [00:23, 558.71it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 314967 | eff(%): 4.656 | loglstar: -12.413 < -10.777 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15266it [00:23, 572.32it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 316508 | eff(%): 4.654 | loglstar: -12.413 < -10.464 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15336it [00:23, 597.58it/s, batch: 7 | bound: 1 | nc: 23 | ncall: 318118 | eff(%): 4.653 | loglstar: -12.413 < -10.206 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15403it [00:23, 551.45it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 319659 | eff(%): 4.651 | loglstar: -12.413 < -9.963 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15470it [00:24, 577.80it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 321200 | eff(%): 4.650 | loglstar: -12.413 < -9.712 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15537it [00:24, 598.76it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 322741 | eff(%): 4.648 | loglstar: -12.413 < -9.513 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15607it [00:24, 624.17it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 324351 | eff(%): 4.647 | loglstar: -12.413 < -9.326 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15677it [00:24, 643.94it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 325961 | eff(%): 4.646 | loglstar: -12.413 < -9.122 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15747it [00:24, 658.38it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 327571 | eff(%): 4.644 | loglstar: -12.413 < -8.918 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15815it [00:24, 661.06it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 329135 | eff(%): 4.643 | loglstar: -12.413 < -8.741 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15883it [00:24, 623.38it/s, batch: 7 | bound: 2 | nc: 23 | ncall: 330699 | eff(%): 4.641 | loglstar: -12.413 < -8.599 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15947it [00:24, 562.49it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 332171 | eff(%): 4.640 | loglstar: -12.413 < -8.450 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16013it [00:24, 586.11it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 333689 | eff(%): 4.639 | loglstar: -12.413 < -8.309 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16084it [00:25, 617.55it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 335322 | eff(%): 4.638 | loglstar: -12.413 < -8.179 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16148it [00:25, 599.56it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 336794 | eff(%): 4.636 | loglstar: -12.413 < -8.066 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16217it [00:25, 623.97it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 338381 | eff(%): 4.635 | loglstar: -12.413 < -7.967 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16288it [00:25, 646.16it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 340014 | eff(%): 4.634 | loglstar: -12.413 < -7.883 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16359it [00:25, 661.77it/s, batch: 7 | bound: 3 | nc: 23 | ncall: 341647 | eff(%): 4.632 | loglstar: -12.413 < -7.788 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16426it [00:25, 569.37it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 343188 | eff(%): 4.631 | loglstar: -12.413 < -7.720 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16494it [00:25, 597.72it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 344752 | eff(%): 4.630 | loglstar: -12.413 < -7.648 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16564it [00:25, 624.20it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 346362 | eff(%): 4.629 | loglstar: -12.413 < -7.578 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16635it [00:25, 646.31it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 347995 | eff(%): 4.627 | loglstar: -12.413 < -7.515 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16705it [00:26, 660.37it/s, batch: 7 | bound: 4 | nc: 23 | ncall: 349605 | eff(%): 4.626 | loglstar: -12.413 < -7.444 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17146it [00:26, 1743.33it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 350310 | eff(%): 4.745 | loglstar: -12.413 < -6.986 < -7.428 | logz: -18.762 +/- 0.091 | stop: 1.106]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17217it [00:26, 654.37it/s, batch: 7 | bound: 4 | nc: 1 | ncall: 350381 | eff(%): 4.764 | loglstar: -12.413 < -6.831 < -7.428 | logz: -18.762 +/- 0.091 | stop: 0.880] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "274it [00:00, 2737.52it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 362 | eff(%): 31.787 | loglstar: -inf < -10549.280 < inf | logz: -10556.732 +/- 0.122 | dlogz: 10543.060 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "548it [00:00, 2599.92it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 984 | eff(%): 36.927 | loglstar: -inf < -324.831 < inf | logz: -332.829 +/- 0.126 | dlogz: 318.008 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "809it [00:00, 2485.03it/s, batch: 0 | bound: 0 | nc: 5 | ncall: 2138 | eff(%): 30.667 | loglstar: -inf < -81.341 < inf | logz: -86.965 +/- 0.095 | dlogz: 65.956 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1059it [00:00, 2276.11it/s, batch: 0 | bound: 0 | nc: 10 | ncall: 3619 | eff(%): 25.710 | loglstar: -inf < -70.257 < inf | logz: -75.248 +/- 0.089 | dlogz: 53.661 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1289it [00:00, 2018.15it/s, batch: 0 | bound: 0 | nc: 6 | ncall: 6042 | eff(%): 19.703 | loglstar: -inf < -60.053 < inf | logz: -65.827 +/- 0.097 | dlogz: 43.806 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1496it [00:00, 1671.66it/s, batch: 0 | bound: 0 | nc: 56 | ncall: 9605 | eff(%): 14.805 | loglstar: -inf < -53.179 < inf | logz: -58.749 +/- 0.095 | dlogz: 36.291 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1673it [00:00, 1428.25it/s, batch: 0 | bound: 0 | nc: 30 | ncall: 13531 | eff(%): 11.924 | loglstar: -inf < -48.677 < inf | logz: -54.511 +/- 0.097 | dlogz: 31.697 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1826it [00:01, 1009.53it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 18460 | eff(%): 9.631 | loglstar: -inf < -44.828 < inf | logz: -50.971 +/- 0.100 | dlogz: 27.850 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1947it [00:01, 947.02it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 21122 | eff(%): 9.005 | loglstar: -inf < -41.835 < inf | logz: -48.083 +/- 0.102 | dlogz: 24.718 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2055it [00:01, 896.88it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 23498 | eff(%): 8.563 | loglstar: -inf < -39.953 < inf | logz: -46.087 +/- 0.102 | dlogz: 22.697 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2153it [00:01, 866.71it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 25654 | eff(%): 8.232 | loglstar: -inf < -37.740 < inf | logz: -44.228 +/- 0.105 | dlogz: 20.646 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2245it [00:01, 809.40it/s, batch: 0 | bound: 1 | nc: 22 | ncall: 27678 | eff(%): 7.967 | loglstar: -inf < -35.569 < inf | logz: -42.516 +/- 0.106 | dlogz: 18.755 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2329it [00:01, 676.24it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 29526 | eff(%): 7.757 | loglstar: -inf < -33.799 < inf | logz: -40.713 +/- 0.108 | dlogz: 16.780 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2401it [00:02, 645.31it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 31110 | eff(%): 7.596 | loglstar: -inf < -32.628 < inf | logz: -39.470 +/- 0.108 | dlogz: 15.390 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2468it [00:02, 649.83it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 32584 | eff(%): 7.460 | loglstar: -inf < -31.362 < inf | logz: -38.406 +/- 0.109 | dlogz: 14.193 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2535it [00:02, 626.78it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 34058 | eff(%): 7.335 | loglstar: -inf < -30.284 < inf | logz: -37.352 +/- 0.110 | dlogz: 13.003 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2599it [00:02, 598.69it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 35466 | eff(%): 7.226 | loglstar: -inf < -29.450 < inf | logz: -36.496 +/- 0.110 | dlogz: 12.017 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2676it [00:02, 641.51it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 37160 | eff(%): 7.106 | loglstar: -inf < -28.326 < inf | logz: -35.524 +/- 0.110 | dlogz: 10.892 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2749it [00:02, 663.07it/s, batch: 0 | bound: 2 | nc: 22 | ncall: 38766 | eff(%): 7.001 | loglstar: -inf < -27.396 < inf | logz: -34.616 +/- 0.111 | dlogz: 9.836 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2817it [00:02, 565.07it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 40262 | eff(%): 6.911 | loglstar: -inf < -26.392 < inf | logz: -33.835 +/- 0.112 | dlogz: 8.921 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2877it [00:02, 561.04it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 41582 | eff(%): 6.837 | loglstar: -inf < -25.727 < inf | logz: -33.149 +/- 0.113 | dlogz: 8.114 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2945it [00:03, 588.10it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 43078 | eff(%): 6.758 | loglstar: -inf < -25.007 < inf | logz: -32.456 +/- 0.113 | dlogz: 7.284 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3022it [00:03, 632.46it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 44772 | eff(%): 6.675 | loglstar: -inf < -24.225 < inf | logz: -31.741 +/- 0.114 | dlogz: 6.415 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3098it [00:03, 666.65it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 46444 | eff(%): 6.599 | loglstar: -inf < -23.558 < inf | logz: -31.135 +/- 0.114 | dlogz: 5.682 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3176it [00:03, 694.19it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 48160 | eff(%): 6.527 | loglstar: -inf < -23.038 < inf | logz: -30.579 +/- 0.114 | dlogz: 4.974 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3247it [00:03, 682.73it/s, batch: 0 | bound: 3 | nc: 22 | ncall: 49722 | eff(%): 6.465 | loglstar: -inf < -22.564 < inf | logz: -30.131 +/- 0.114 | dlogz: 4.389 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3317it [00:03, 557.02it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 51262 | eff(%): 6.408 | loglstar: -inf < -22.247 < inf | logz: -29.760 +/- 0.114 | dlogz: 3.885 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3394it [00:03, 609.59it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 52956 | eff(%): 6.349 | loglstar: -inf < -21.763 < inf | logz: -29.395 +/- 0.114 | dlogz: 3.388 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3462it [00:03, 627.70it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 54452 | eff(%): 6.300 | loglstar: -inf < -21.419 < inf | logz: -29.092 +/- 0.115 | dlogz: 2.967 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3528it [00:03, 625.23it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 55904 | eff(%): 6.255 | loglstar: -inf < -21.185 < inf | logz: -28.835 +/- 0.115 | dlogz: 2.602 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3602it [00:04, 653.60it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 57532 | eff(%): 6.207 | loglstar: -inf < -20.863 < inf | logz: -28.574 +/- 0.115 | dlogz: 2.230 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3679it [00:04, 684.01it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 59226 | eff(%): 6.160 | loglstar: -inf < -20.648 < inf | logz: -28.336 +/- 0.115 | dlogz: 1.887 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3749it [00:04, 631.18it/s, batch: 0 | bound: 4 | nc: 22 | ncall: 60766 | eff(%): 6.119 | loglstar: -inf < -20.469 < inf | logz: -28.152 +/- 0.115 | dlogz: 1.620 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3814it [00:04, 480.59it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 62196 | eff(%): 6.083 | loglstar: -inf < -20.350 < inf | logz: -28.007 +/- 0.115 | dlogz: 1.405 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3889it [00:04, 540.74it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 63846 | eff(%): 6.044 | loglstar: -inf < -20.199 < inf | logz: -27.863 +/- 0.115 | dlogz: 1.192 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3967it [00:04, 597.61it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 65562 | eff(%): 6.005 | loglstar: -inf < -20.038 < inf | logz: -27.731 +/- 0.115 | dlogz: 1.002 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4033it [00:04, 607.95it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 67014 | eff(%): 5.974 | loglstar: -inf < -19.940 < inf | logz: -27.633 +/- 0.115 | dlogz: 0.863 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4098it [00:04, 572.50it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 68444 | eff(%): 5.944 | loglstar: -inf < -19.848 < inf | logz: -27.548 +/- 0.115 | dlogz: 0.744 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4167it [00:05, 601.17it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 69962 | eff(%): 5.914 | loglstar: -inf < -19.762 < inf | logz: -27.469 +/- 0.115 | dlogz: 0.636 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4238it [00:05, 628.23it/s, batch: 0 | bound: 5 | nc: 22 | ncall: 71524 | eff(%): 5.884 | loglstar: -inf < -19.701 < inf | logz: -27.398 +/- 0.115 | dlogz: 0.541 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4303it [00:05, 507.31it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 72954 | eff(%): 5.858 | loglstar: -inf < -19.646 < inf | logz: -27.342 +/- 0.115 | dlogz: 0.468 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4360it [00:05, 521.43it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 74208 | eff(%): 5.836 | loglstar: -inf < -19.601 < inf | logz: -27.298 +/- 0.115 | dlogz: 0.412 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4431it [00:05, 567.14it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 75770 | eff(%): 5.810 | loglstar: -inf < -19.559 < inf | logz: -27.250 +/- 0.115 | dlogz: 0.352 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4509it [00:05, 621.08it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 77486 | eff(%): 5.782 | loglstar: -inf < -19.515 < inf | logz: -27.205 +/- 0.115 | dlogz: 0.296 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4582it [00:05, 646.67it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 79092 | eff(%): 5.757 | loglstar: -inf < -19.488 < inf | logz: -27.169 +/- 0.115 | dlogz: 0.253 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4659it [00:05, 679.46it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 80786 | eff(%): 5.732 | loglstar: -inf < -19.459 < inf | logz: -27.136 +/- 0.115 | dlogz: 0.214 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4737it [00:05, 708.07it/s, batch: 0 | bound: 6 | nc: 22 | ncall: 82502 | eff(%): 5.707 | loglstar: -inf < -19.423 < inf | logz: -27.108 +/- 0.115 | dlogz: 0.181 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4810it [00:06, 542.47it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 84108 | eff(%): 5.685 | loglstar: -inf < -19.405 < inf | logz: -27.085 +/- 0.115 | dlogz: 0.155 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4871it [00:06, 506.08it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 85450 | eff(%): 5.667 | loglstar: -inf < -19.387 < inf | logz: -27.068 +/- 0.115 | dlogz: 0.136 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4946it [00:06, 563.56it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 87100 | eff(%): 5.646 | loglstar: -inf < -19.370 < inf | logz: -27.051 +/- 0.115 | dlogz: 0.116 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5008it [00:06, 573.11it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 88464 | eff(%): 5.629 | loglstar: -inf < -19.357 < inf | logz: -27.038 +/- 0.115 | dlogz: 0.102 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5078it [00:06, 605.05it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 90004 | eff(%): 5.611 | loglstar: -inf < -19.346 < inf | logz: -27.025 +/- 0.115 | dlogz: 0.088 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5142it [00:06, 597.93it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 91412 | eff(%): 5.594 | loglstar: -inf < -19.337 < inf | logz: -27.015 +/- 0.115 | dlogz: 0.077 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5204it [00:06, 593.33it/s, batch: 0 | bound: 7 | nc: 22 | ncall: 92776 | eff(%): 5.579 | loglstar: -inf < -19.327 < inf | logz: -27.006 +/- 0.115 | dlogz: 0.068 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5276it [00:06, 528.16it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 94360 | eff(%): 5.562 | loglstar: -inf < -19.317 < inf | logz: -26.997 +/- 0.115 | dlogz: 0.059 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5336it [00:07, 544.87it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 95680 | eff(%): 5.548 | loglstar: -inf < -19.311 < inf | logz: -26.991 +/- 0.115 | dlogz: 0.052 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5404it [00:07, 578.66it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 97176 | eff(%): 5.533 | loglstar: -inf < -19.303 < inf | logz: -26.984 +/- 0.115 | dlogz: 0.045 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5482it [00:07, 632.25it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 98892 | eff(%): 5.516 | loglstar: -inf < -19.298 < inf | logz: -26.978 +/- 0.115 | dlogz: 0.039 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5560it [00:07, 672.25it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 100608 | eff(%): 5.499 | loglstar: -inf < -19.294 < inf | logz: -26.972 +/- 0.115 | dlogz: 0.033 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5632it [00:07, 683.28it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 102192 | eff(%): 5.484 | loglstar: -inf < -19.289 < inf | logz: -26.968 +/- 0.115 | dlogz: 0.028 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5702it [00:07, 661.09it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 103732 | eff(%): 5.470 | loglstar: -inf < -19.286 < inf | logz: -26.964 +/- 0.115 | dlogz: 0.025 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5773it [00:07, 673.27it/s, batch: 0 | bound: 8 | nc: 22 | ncall: 105294 | eff(%): 5.457 | loglstar: -inf < -19.283 < inf | logz: -26.961 +/- 0.115 | dlogz: 0.021 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5842it [00:07, 552.45it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 106812 | eff(%): 5.444 | loglstar: -inf < -19.280 < inf | logz: -26.959 +/- 0.115 | dlogz: 0.019 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5920it [00:07, 607.84it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 108528 | eff(%): 5.430 | loglstar: -inf < -19.277 < inf | logz: -26.956 +/- 0.115 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5998it [00:08, 652.57it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 110244 | eff(%): 5.416 | loglstar: -inf < -19.276 < inf | logz: -26.954 +/- 0.115 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6073it [00:08, 676.90it/s, batch: 0 | bound: 9 | nc: 22 | ncall: 111894 | eff(%): 5.403 | loglstar: -inf < -19.274 < inf | logz: -26.952 +/- 0.115 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6153it [00:08, 711.00it/s, batch: 0 | bound: 9 | nc: 1 | ncall: 113591 | eff(%): 5.393 | loglstar: -inf < -19.272 < inf | logz: -26.950 +/- 0.115 | dlogz: 0.010 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6650it [00:08, 693.19it/s, batch: 1 | bound: 0 | nc: 22 | ncall: 114088 | eff(%): 5.829 | loglstar: -21.132 < -20.769 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6722it [00:09, 693.84it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 115672 | eff(%): 5.307 | loglstar: -21.132 < -20.887 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6799it [00:09, 704.29it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 117366 | eff(%): 5.297 | loglstar: -21.132 < -20.693 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6876it [00:09, 714.31it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 119060 | eff(%): 5.287 | loglstar: -21.132 < -20.504 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6950it [00:09, 708.06it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 120688 | eff(%): 5.278 | loglstar: -21.132 < -20.331 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7023it [00:09, 696.97it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 122294 | eff(%): 5.269 | loglstar: -21.132 < -20.191 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7094it [00:09, 696.61it/s, batch: 1 | bound: 1 | nc: 22 | ncall: 123856 | eff(%): 5.260 | loglstar: -21.132 < -20.086 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7165it [00:09, 596.46it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 125418 | eff(%): 5.252 | loglstar: -21.132 < -19.959 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7241it [00:09, 633.66it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 127090 | eff(%): 5.244 | loglstar: -21.132 < -19.851 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7318it [00:09, 665.72it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 128784 | eff(%): 5.235 | loglstar: -21.132 < -19.781 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7387it [00:10, 651.21it/s, batch: 1 | bound: 2 | nc: 22 | ncall: 130302 | eff(%): 5.228 | loglstar: -21.132 < -19.713 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7884it [00:10, 1804.17it/s, batch: 1 | bound: 2 | nc: 1 | ncall: 130799 | eff(%): 5.580 | loglstar: -21.132 < -19.269 < -19.713 | logz: -26.940 +/- 0.119 | stop: 4.973]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8080it [00:11, 597.74it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 144246 | eff(%): 5.207 | loglstar: -21.631 < -20.868 < -21.130 | logz: -26.958 +/- 0.097 | stop: 2.903] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8518it [00:11, 589.50it/s, batch: 3 | bound: 0 | nc: 22 | ncall: 155184 | eff(%): 5.489 | loglstar: -22.009 < -19.870 < -21.630 | logz: -26.959 +/- 0.090 | stop: 2.350]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8637it [00:11, 627.14it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 157046 | eff(%): 5.141 | loglstar: -22.009 < -21.495 < -21.630 | logz: -26.959 +/- 0.090 | stop: 2.350] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9101it [00:12, 600.13it/s, batch: 4 | bound: 0 | nc: 22 | ncall: 168010 | eff(%): 5.417 | loglstar: -22.443 < -20.954 < -22.007 | logz: -26.976 +/- 0.086 | stop: 2.038]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9196it [00:12, 618.49it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 169827 | eff(%): 5.086 | loglstar: -22.443 < -21.949 < -22.007 | logz: -26.976 +/- 0.086 | stop: 2.038] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9683it [00:13, 618.58it/s, batch: 5 | bound: 0 | nc: 22 | ncall: 180814 | eff(%): 5.355 | loglstar: -22.893 < -22.176 < -22.442 | logz: -26.974 +/- 0.083 | stop: 1.820]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9765it [00:13, 632.73it/s, batch: 5 | bound: 1 | nc: 1 | ncall: 182366 | eff(%): 5.050 | loglstar: -22.893 < -22.387 < -22.442 | logz: -26.974 +/- 0.083 | stop: 1.820] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10253it [00:14, 626.59it/s, batch: 6 | bound: 0 | nc: 22 | ncall: 193354 | eff(%): 5.303 | loglstar: -23.317 < -19.884 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10329it [00:14, 632.94it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 195026 | eff(%): 5.013 | loglstar: -23.317 < -22.873 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10403it [00:14, 637.00it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 196654 | eff(%): 5.010 | loglstar: -23.317 < -22.411 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10476it [00:14, 647.52it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 198260 | eff(%): 5.006 | loglstar: -23.317 < -22.012 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10552it [00:14, 663.05it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 199932 | eff(%): 5.003 | loglstar: -23.317 < -21.640 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10629it [00:15, 680.74it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 201626 | eff(%): 4.999 | loglstar: -23.317 < -21.314 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10706it [00:15, 697.52it/s, batch: 6 | bound: 1 | nc: 22 | ncall: 203320 | eff(%): 4.995 | loglstar: -23.317 < -21.079 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10781it [00:15, 602.96it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 204970 | eff(%): 4.992 | loglstar: -23.317 < -20.834 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10846it [00:15, 590.63it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 206400 | eff(%): 4.989 | loglstar: -23.317 < -20.651 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10908it [00:15, 566.63it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 207764 | eff(%): 4.986 | loglstar: -23.317 < -20.469 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10978it [00:15, 597.37it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 209304 | eff(%): 4.983 | loglstar: -23.317 < -20.326 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11055it [00:15, 639.97it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 210998 | eff(%): 4.980 | loglstar: -23.317 < -20.175 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11132it [00:15, 672.41it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 212692 | eff(%): 4.976 | loglstar: -23.317 < -20.039 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11202it [00:15, 665.93it/s, batch: 6 | bound: 2 | nc: 22 | ncall: 214232 | eff(%): 4.974 | loglstar: -23.317 < -19.966 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11270it [00:16, 526.12it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 215728 | eff(%): 4.971 | loglstar: -23.317 < -19.871 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11328it [00:16, 537.87it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 217004 | eff(%): 4.968 | loglstar: -23.317 < -19.796 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11405it [00:16, 593.64it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 218698 | eff(%): 4.965 | loglstar: -23.317 < -19.708 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11474it [00:16, 618.66it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 220216 | eff(%): 4.962 | loglstar: -23.317 < -19.657 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11542it [00:16, 634.15it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 221712 | eff(%): 4.960 | loglstar: -23.317 < -19.598 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11608it [00:16, 581.76it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 223164 | eff(%): 4.957 | loglstar: -23.317 < -19.549 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11669it [00:16, 564.71it/s, batch: 6 | bound: 3 | nc: 22 | ncall: 224506 | eff(%): 4.955 | loglstar: -23.317 < -19.517 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12158it [00:16, 1721.23it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 225079 | eff(%): 5.161 | loglstar: -23.317 < -19.274 < -19.514 | logz: -26.963 +/- 0.080 | stop: 1.668]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12346it [00:17, 517.70it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 239400 | eff(%): 4.931 | loglstar: -23.792 < -22.677 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12483it [00:18, 560.95it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 242414 | eff(%): 4.926 | loglstar: -23.792 < -21.938 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12602it [00:18, 598.07it/s, batch: 7 | bound: 1 | nc: 22 | ncall: 245032 | eff(%): 4.922 | loglstar: -23.792 < -21.405 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12709it [00:18, 573.00it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 247386 | eff(%): 4.919 | loglstar: -23.792 < -21.025 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12799it [00:18, 600.62it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 249366 | eff(%): 4.916 | loglstar: -23.792 < -20.742 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12884it [00:18, 621.42it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 251236 | eff(%): 4.913 | loglstar: -23.792 < -20.508 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12965it [00:18, 627.01it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 253018 | eff(%): 4.911 | loglstar: -23.792 < -20.318 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13041it [00:18, 652.87it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 254690 | eff(%): 4.908 | loglstar: -23.792 < -20.154 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13117it [00:19, 676.51it/s, batch: 7 | bound: 2 | nc: 22 | ncall: 256362 | eff(%): 4.906 | loglstar: -23.792 < -20.038 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13193it [00:19, 587.12it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 258034 | eff(%): 4.904 | loglstar: -23.792 < -19.939 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13261it [00:19, 607.84it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 259530 | eff(%): 4.902 | loglstar: -23.792 < -19.862 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13328it [00:19, 590.34it/s, batch: 7 | bound: 3 | nc: 22 | ncall: 261004 | eff(%): 4.900 | loglstar: -23.792 < -19.783 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13590it [00:19, 1095.18it/s, batch: 7 | bound: 3 | nc: 1 | ncall: 262064 | eff(%): 4.981 | loglstar: -23.792 < -19.537 < -19.753 | logz: -26.974 +/- 0.071 | stop: 1.257]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13866it [00:20, 546.47it/s, batch: 8 | bound: 0 | nc: 22 | ncall: 272840 | eff(%): 5.082 | loglstar: -24.312 < -23.048 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13963it [00:20, 572.46it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 274974 | eff(%): 4.883 | loglstar: -24.312 < -23.488 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14052it [00:20, 578.98it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 276932 | eff(%): 4.880 | loglstar: -24.312 < -22.853 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14133it [00:20, 598.43it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 278714 | eff(%): 4.878 | loglstar: -24.312 < -22.369 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14210it [00:20, 613.41it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 280408 | eff(%): 4.876 | loglstar: -24.312 < -21.991 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14285it [00:20, 621.96it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 282058 | eff(%): 4.874 | loglstar: -24.312 < -21.621 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14357it [00:21, 626.59it/s, batch: 8 | bound: 1 | nc: 22 | ncall: 283642 | eff(%): 4.873 | loglstar: -24.312 < -21.283 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14427it [00:21, 553.40it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 285182 | eff(%): 4.871 | loglstar: -24.312 < -21.025 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14488it [00:21, 560.32it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 286524 | eff(%): 4.870 | loglstar: -24.312 < -20.762 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14558it [00:21, 592.34it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 288064 | eff(%): 4.868 | loglstar: -24.312 < -20.611 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14635it [00:21, 636.23it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 289758 | eff(%): 4.866 | loglstar: -24.312 < -20.441 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14702it [00:21, 636.82it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 291232 | eff(%): 4.864 | loglstar: -24.312 < -20.312 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14768it [00:21, 627.32it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 292684 | eff(%): 4.863 | loglstar: -24.312 < -20.183 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14843it [00:21, 659.99it/s, batch: 8 | bound: 2 | nc: 22 | ncall: 294334 | eff(%): 4.861 | loglstar: -24.312 < -20.073 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14911it [00:22, 567.73it/s, batch: 8 | bound: 3 | nc: 22 | ncall: 295830 | eff(%): 4.860 | loglstar: -24.312 < -19.992 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14987it [00:22, 616.38it/s, batch: 8 | bound: 3 | nc: 22 | ncall: 297502 | eff(%): 4.858 | loglstar: -24.312 < -19.885 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15064it [00:22, 655.22it/s, batch: 8 | bound: 3 | nc: 22 | ncall: 299196 | eff(%): 4.856 | loglstar: -24.312 < -19.810 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15453it [00:22, 1546.99it/s, batch: 8 | bound: 3 | nc: 1 | ncall: 300068 | eff(%): 4.974 | loglstar: -24.312 < -19.416 < -19.787 | logz: -26.990 +/- 0.067 | stop: 1.036]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15587it [00:22, 692.97it/s, batch: 8 | bound: 3 | nc: 1 | ncall: 300202 | eff(%): 5.017 | loglstar: -24.312 < -19.263 < -19.787 | logz: -26.990 +/- 0.067 | stop: 0.885] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "------------------------------\n", "Linear vs Constant\n", "logZ(linear) = -18.767 ± 0.084\n", "logZ(constant) = -26.982 ± 0.063\n", "log Bayes factor = 8.215\n", "Unconstrained model favored.\n", "------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "268it [00:00, 2677.00it/s, batch: 0 | bound: 0 | nc: 3 | ncall: 356 | eff(%): 31.308 | loglstar: -inf < -15106.943 < inf | logz: -15114.386 +/- 0.122 | dlogz: 15780.686 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "536it [00:00, 2466.00it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 939 | eff(%): 37.248 | loglstar: -inf < -602.598 < inf | logz: -610.258 +/- 0.120 | dlogz: 582.807 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "784it [00:00, 2390.78it/s, batch: 0 | bound: 0 | nc: 7 | ncall: 1760 | eff(%): 34.690 | loglstar: -inf < -98.121 < inf | logz: -104.591 +/- 0.107 | dlogz: 74.927 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1024it [00:00, 2232.91it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 3030 | eff(%): 29.008 | loglstar: -inf < -75.035 < inf | logz: -80.021 +/- 0.089 | dlogz: 49.641 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1249it [00:00, 1993.59it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 4854 | eff(%): 23.328 | loglstar: -inf < -68.249 < inf | logz: -73.505 +/- 0.090 | dlogz: 46.969 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1452it [00:00, 1742.87it/s, batch: 0 | bound: 0 | nc: 21 | ncall: 7605 | eff(%): 17.915 | loglstar: -inf < -61.793 < inf | logz: -67.224 +/- 0.095 | dlogz: 40.278 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1632it [00:00, 1307.63it/s, batch: 0 | bound: 0 | nc: 130 | ncall: 11831 | eff(%): 13.235 | loglstar: -inf < -57.440 < inf | logz: -62.961 +/- 0.095 | dlogz: 35.649 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1779it [00:01, 1227.87it/s, batch: 0 | bound: 0 | nc: 8 | ncall: 15457 | eff(%): 11.149 | loglstar: -inf < -54.170 < inf | logz: -60.044 +/- 0.098 | dlogz: 33.531 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1912it [00:01, 939.48it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 19766 | eff(%): 9.435 | loglstar: -inf < -51.544 < inf | logz: -57.515 +/- 0.099 | dlogz: 30.734 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2021it [00:01, 889.59it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 22273 | eff(%): 8.875 | loglstar: -inf < -49.693 < inf | logz: -55.763 +/- 0.100 | dlogz: 28.763 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2119it [00:01, 857.10it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 24527 | eff(%): 8.467 | loglstar: -inf < -48.041 < inf | logz: -54.268 +/- 0.101 | dlogz: 27.071 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2211it [00:01, 828.69it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 26643 | eff(%): 8.146 | loglstar: -inf < -46.844 < inf | logz: -53.026 +/- 0.102 | dlogz: 25.643 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2298it [00:01, 805.75it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 28644 | eff(%): 7.885 | loglstar: -inf < -45.549 < inf | logz: -51.973 +/- 0.103 | dlogz: 27.433 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2381it [00:02, 700.78it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 30553 | eff(%): 7.668 | loglstar: -inf < -44.516 < inf | logz: -50.994 +/- 0.104 | dlogz: 26.287 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2456it [00:02, 710.32it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 32278 | eff(%): 7.493 | loglstar: -inf < -43.585 < inf | logz: -50.157 +/- 0.105 | dlogz: 25.300 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2531it [00:02, 719.47it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 34003 | eff(%): 7.336 | loglstar: -inf < -42.498 < inf | logz: -49.330 +/- 0.106 | dlogz: 24.324 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2605it [00:02, 714.86it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 35705 | eff(%): 7.195 | loglstar: -inf < -41.512 < inf | logz: -48.454 +/- 0.108 | dlogz: 23.300 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2679it [00:02, 720.32it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 37407 | eff(%): 7.067 | loglstar: -inf < -40.521 < inf | logz: -47.623 +/- 0.109 | dlogz: 22.321 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2753it [00:02, 725.44it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 39109 | eff(%): 6.950 | loglstar: -inf < -39.609 < inf | logz: -46.825 +/- 0.110 | dlogz: 21.374 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2827it [00:02, 631.30it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 40811 | eff(%): 6.843 | loglstar: -inf < -38.628 < inf | logz: -45.966 +/- 0.111 | dlogz: 20.368 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2900it [00:02, 656.83it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 42490 | eff(%): 6.746 | loglstar: -inf < -37.918 < inf | logz: -45.244 +/- 0.112 | dlogz: 19.499 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2973it [00:02, 676.55it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 44169 | eff(%): 6.656 | loglstar: -inf < -37.024 < inf | logz: -44.557 +/- 0.113 | dlogz: 18.666 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3047it [00:02, 693.27it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 45871 | eff(%): 6.571 | loglstar: -inf < -36.336 < inf | logz: -43.874 +/- 0.113 | dlogz: 17.833 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3123it [00:03, 710.14it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 47619 | eff(%): 6.490 | loglstar: -inf < -35.422 < inf | logz: -43.187 +/- 0.115 | dlogz: 16.995 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3198it [00:03, 720.53it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 49344 | eff(%): 6.416 | loglstar: -inf < -34.641 < inf | logz: -42.519 +/- 0.116 | dlogz: 16.178 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3271it [00:03, 711.91it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 51023 | eff(%): 6.349 | loglstar: -inf < -33.886 < inf | logz: -41.875 +/- 0.117 | dlogz: 15.387 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3343it [00:03, 618.28it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 52679 | eff(%): 6.286 | loglstar: -inf < -33.169 < inf | logz: -41.283 +/- 0.118 | dlogz: 14.651 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3417it [00:03, 649.62it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 54381 | eff(%): 6.226 | loglstar: -inf < -32.322 < inf | logz: -40.652 +/- 0.119 | dlogz: 13.873 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3493it [00:03, 677.46it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 56129 | eff(%): 6.168 | loglstar: -inf < -31.682 < inf | logz: -40.025 +/- 0.120 | dlogz: 13.119 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3567it [00:03, 693.32it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 57831 | eff(%): 6.115 | loglstar: -inf < -31.044 < inf | logz: -39.461 +/- 0.121 | dlogz: 12.407 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3639it [00:03, 697.70it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 59487 | eff(%): 6.066 | loglstar: -inf < -30.520 < inf | logz: -38.965 +/- 0.121 | dlogz: 11.766 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3713it [00:03, 706.74it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 61189 | eff(%): 6.019 | loglstar: -inf < -29.862 < inf | logz: -38.480 +/- 0.122 | dlogz: 11.134 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3789it [00:04, 720.30it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 62937 | eff(%): 5.973 | loglstar: -inf < -29.274 < inf | logz: -37.994 +/- 0.122 | dlogz: 10.927 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3862it [00:04, 623.08it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 64616 | eff(%): 5.931 | loglstar: -inf < -28.700 < inf | logz: -37.542 +/- 0.123 | dlogz: 10.329 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3935it [00:04, 650.51it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 66295 | eff(%): 5.891 | loglstar: -inf < -28.191 < inf | logz: -37.110 +/- 0.124 | dlogz: 9.751 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4009it [00:04, 674.92it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 67997 | eff(%): 5.853 | loglstar: -inf < -27.544 < inf | logz: -36.665 +/- 0.125 | dlogz: 9.158 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4084it [00:04, 695.12it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 69722 | eff(%): 5.816 | loglstar: -inf < -27.059 < inf | logz: -36.228 +/- 0.126 | dlogz: 8.571 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4160it [00:04, 711.17it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 71470 | eff(%): 5.780 | loglstar: -inf < -26.590 < inf | logz: -35.822 +/- 0.127 | dlogz: 8.013 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4233it [00:04, 715.73it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 73149 | eff(%): 5.748 | loglstar: -inf < -26.155 < inf | logz: -35.464 +/- 0.127 | dlogz: 7.509 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4307it [00:04, 720.25it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 74851 | eff(%): 5.716 | loglstar: -inf < -25.810 < inf | logz: -35.141 +/- 0.128 | dlogz: 7.037 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4380it [00:04, 628.85it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 76530 | eff(%): 5.686 | loglstar: -inf < -25.393 < inf | logz: -34.848 +/- 0.128 | dlogz: 6.599 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4456it [00:05, 662.87it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 78278 | eff(%): 5.656 | loglstar: -inf < -25.058 < inf | logz: -34.553 +/- 0.129 | dlogz: 6.162 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4531it [00:05, 685.56it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 80003 | eff(%): 5.628 | loglstar: -inf < -24.685 < inf | logz: -34.287 +/- 0.129 | dlogz: 5.747 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4606it [00:05, 701.21it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 81728 | eff(%): 5.601 | loglstar: -inf < -24.379 < inf | logz: -34.040 +/- 0.130 | dlogz: 5.456 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4679it [00:05, 708.69it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 83407 | eff(%): 5.576 | loglstar: -inf < -24.076 < inf | logz: -33.815 +/- 0.130 | dlogz: 5.087 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4755it [00:05, 721.21it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 85155 | eff(%): 5.551 | loglstar: -inf < -23.750 < inf | logz: -33.598 +/- 0.131 | dlogz: 4.721 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4828it [00:05, 621.46it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 86834 | eff(%): 5.528 | loglstar: -inf < -23.486 < inf | logz: -33.400 +/- 0.131 | dlogz: 4.381 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4905it [00:05, 658.41it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 88605 | eff(%): 5.505 | loglstar: -inf < -23.243 < inf | logz: -33.210 +/- 0.131 | dlogz: 4.041 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4981it [00:05, 684.34it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 90353 | eff(%): 5.482 | loglstar: -inf < -22.979 < inf | logz: -33.034 +/- 0.132 | dlogz: 3.779 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5058it [00:05, 706.03it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 92124 | eff(%): 5.461 | loglstar: -inf < -22.780 < inf | logz: -32.872 +/- 0.132 | dlogz: 3.471 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5137it [00:06, 727.16it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 93941 | eff(%): 5.439 | loglstar: -inf < -22.540 < inf | logz: -32.722 +/- 0.133 | dlogz: 3.174 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5215it [00:06, 741.73it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 95735 | eff(%): 5.419 | loglstar: -inf < -22.337 < inf | logz: -32.584 +/- 0.133 | dlogz: 2.895 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5292it [00:06, 749.35it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 97506 | eff(%): 5.400 | loglstar: -inf < -22.170 < inf | logz: -32.461 +/- 0.133 | dlogz: 2.635 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5368it [00:06, 643.45it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 99254 | eff(%): 5.381 | loglstar: -inf < -21.959 < inf | logz: -32.348 +/- 0.134 | dlogz: 2.392 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5442it [00:06, 668.25it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 100956 | eff(%): 5.364 | loglstar: -inf < -21.756 < inf | logz: -32.245 +/- 0.134 | dlogz: 2.167 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5512it [00:06, 669.05it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 102566 | eff(%): 5.348 | loglstar: -inf < -21.592 < inf | logz: -32.153 +/- 0.135 | dlogz: 1.964 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5583it [00:06, 678.56it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 104199 | eff(%): 5.332 | loglstar: -inf < -21.438 < inf | logz: -32.066 +/- 0.135 | dlogz: 1.788 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5657it [00:06, 695.11it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 105901 | eff(%): 5.317 | loglstar: -inf < -21.284 < inf | logz: -31.981 +/- 0.135 | dlogz: 1.599 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5729it [00:06, 702.08it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 107557 | eff(%): 5.302 | loglstar: -inf < -21.145 < inf | logz: -31.907 +/- 0.135 | dlogz: 1.428 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5806it [00:06, 719.71it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 109328 | eff(%): 5.286 | loglstar: -inf < -20.979 < inf | logz: -31.832 +/- 0.136 | dlogz: 1.260 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5879it [00:07, 635.72it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 111007 | eff(%): 5.272 | loglstar: -inf < -20.851 < inf | logz: -31.766 +/- 0.136 | dlogz: 1.113 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5955it [00:07, 668.63it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 112755 | eff(%): 5.258 | loglstar: -inf < -20.747 < inf | logz: -31.703 +/- 0.136 | dlogz: 0.974 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6032it [00:07, 694.38it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 114526 | eff(%): 5.244 | loglstar: -inf < -20.624 < inf | logz: -31.646 +/- 0.137 | dlogz: 0.847 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6110it [00:07, 716.30it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 116320 | eff(%): 5.230 | loglstar: -inf < -20.534 < inf | logz: -31.594 +/- 0.137 | dlogz: 0.734 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6188it [00:07, 733.38it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 118114 | eff(%): 5.217 | loglstar: -inf < -20.443 < inf | logz: -31.547 +/- 0.137 | dlogz: 0.634 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6266it [00:07, 744.00it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 119908 | eff(%): 5.204 | loglstar: -inf < -20.372 < inf | logz: -31.505 +/- 0.137 | dlogz: 0.546 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6342it [00:07, 647.77it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 121656 | eff(%): 5.192 | loglstar: -inf < -20.284 < inf | logz: -31.469 +/- 0.138 | dlogz: 0.471 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6418it [00:07, 676.51it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 123404 | eff(%): 5.180 | loglstar: -inf < -20.220 < inf | logz: -31.437 +/- 0.138 | dlogz: 0.406 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6495it [00:08, 701.10it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 125175 | eff(%): 5.168 | loglstar: -inf < -20.158 < inf | logz: -31.408 +/- 0.138 | dlogz: 0.348 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6572it [00:08, 719.02it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 126946 | eff(%): 5.157 | loglstar: -inf < -20.096 < inf | logz: -31.382 +/- 0.138 | dlogz: 0.299 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6648it [00:08, 730.36it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 128694 | eff(%): 5.146 | loglstar: -inf < -20.025 < inf | logz: -31.359 +/- 0.138 | dlogz: 0.259 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6725it [00:08, 739.36it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 130465 | eff(%): 5.135 | loglstar: -inf < -19.963 < inf | logz: -31.339 +/- 0.138 | dlogz: 0.222 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6801it [00:08, 744.72it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 132213 | eff(%): 5.125 | loglstar: -inf < -19.912 < inf | logz: -31.320 +/- 0.138 | dlogz: 0.191 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6876it [00:08, 644.59it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 133938 | eff(%): 5.115 | loglstar: -inf < -19.867 < inf | logz: -31.305 +/- 0.138 | dlogz: 0.164 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6953it [00:08, 676.28it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 135709 | eff(%): 5.105 | loglstar: -inf < -19.826 < inf | logz: -31.290 +/- 0.139 | dlogz: 0.141 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7030it [00:08, 700.72it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 137480 | eff(%): 5.095 | loglstar: -inf < -19.786 < inf | logz: -31.277 +/- 0.139 | dlogz: 0.120 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7108it [00:08, 722.41it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 139274 | eff(%): 5.085 | loglstar: -inf < -19.741 < inf | logz: -31.266 +/- 0.139 | dlogz: 0.103 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7185it [00:08, 735.68it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 141045 | eff(%): 5.076 | loglstar: -inf < -19.712 < inf | logz: -31.256 +/- 0.139 | dlogz: 0.088 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7261it [00:09, 740.59it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 142793 | eff(%): 5.067 | loglstar: -inf < -19.681 < inf | logz: -31.247 +/- 0.139 | dlogz: 0.075 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7336it [00:09, 647.31it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 144518 | eff(%): 5.059 | loglstar: -inf < -19.649 < inf | logz: -31.240 +/- 0.139 | dlogz: 0.065 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7412it [00:09, 676.24it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 146266 | eff(%): 5.050 | loglstar: -inf < -19.625 < inf | logz: -31.233 +/- 0.139 | dlogz: 0.055 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7489it [00:09, 700.62it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 148037 | eff(%): 5.042 | loglstar: -inf < -19.600 < inf | logz: -31.228 +/- 0.139 | dlogz: 0.047 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7566it [00:09, 717.51it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 149808 | eff(%): 5.034 | loglstar: -inf < -19.579 < inf | logz: -31.222 +/- 0.139 | dlogz: 0.041 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7643it [00:09, 731.78it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 151579 | eff(%): 5.026 | loglstar: -inf < -19.557 < inf | logz: -31.218 +/- 0.139 | dlogz: 0.035 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7720it [00:09, 742.76it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 153350 | eff(%): 5.018 | loglstar: -inf < -19.535 < inf | logz: -31.214 +/- 0.139 | dlogz: 0.030 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7797it [00:09, 749.51it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 155121 | eff(%): 5.010 | loglstar: -inf < -19.517 < inf | logz: -31.211 +/- 0.139 | dlogz: 0.026 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7873it [00:09, 651.19it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 156869 | eff(%): 5.003 | loglstar: -inf < -19.501 < inf | logz: -31.208 +/- 0.139 | dlogz: 0.022 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7948it [00:10, 677.53it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 158594 | eff(%): 4.996 | loglstar: -inf < -19.486 < inf | logz: -31.205 +/- 0.139 | dlogz: 0.019 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8024it [00:10, 700.15it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 160342 | eff(%): 4.989 | loglstar: -inf < -19.469 < inf | logz: -31.203 +/- 0.139 | dlogz: 0.016 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8100it [00:10, 715.87it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 162090 | eff(%): 4.982 | loglstar: -inf < -19.452 < inf | logz: -31.201 +/- 0.139 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8178it [00:10, 731.69it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 163884 | eff(%): 4.975 | loglstar: -inf < -19.438 < inf | logz: -31.199 +/- 0.139 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8254it [00:10, 737.89it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 165632 | eff(%): 4.968 | loglstar: -inf < -19.426 < inf | logz: -31.198 +/- 0.139 | dlogz: 0.010 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8684it [00:10, 1779.68it/s, batch: 0 | bound: 13 | nc: 1 | ncall: 166458 | eff(%): 5.214 | loglstar: -inf < -19.339 < inf | logz: -31.190 +/- 0.139 | dlogz: 0.002 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8865it [00:11, 617.94it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 168685 | eff(%): 4.920 | loglstar: -22.636 < -22.404 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9000it [00:11, 647.53it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 171790 | eff(%): 4.910 | loglstar: -22.636 < -22.028 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9117it [00:11, 670.84it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 174481 | eff(%): 4.902 | loglstar: -22.636 < -21.721 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9222it [00:11, 689.26it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 176896 | eff(%): 4.895 | loglstar: -22.636 < -21.541 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9318it [00:11, 643.98it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 179104 | eff(%): 4.889 | loglstar: -22.636 < -21.324 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9402it [00:12, 666.23it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 181036 | eff(%): 4.883 | loglstar: -22.636 < -21.140 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9483it [00:12, 685.12it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 182899 | eff(%): 4.878 | loglstar: -22.636 < -20.992 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9563it [00:12, 701.00it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 184739 | eff(%): 4.873 | loglstar: -22.636 < -20.875 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9642it [00:12, 715.63it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 186556 | eff(%): 4.868 | loglstar: -22.636 < -20.749 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9720it [00:12, 727.25it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 188350 | eff(%): 4.864 | loglstar: -22.636 < -20.640 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9798it [00:12, 647.04it/s, batch: 1 | bound: 3 | nc: 23 | ncall: 190144 | eff(%): 4.859 | loglstar: -22.636 < -20.555 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9944it [00:12, 847.85it/s, batch: 1 | bound: 3 | nc: 1 | ncall: 191676 | eff(%): 4.896 | loglstar: -22.636 < -20.365 < -20.468 | logz: -31.189 +/- 0.143 | stop: 3.448] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10361it [00:13, 634.26it/s, batch: 2 | bound: 0 | nc: 23 | ncall: 203093 | eff(%): 5.102 | loglstar: -23.392 < -20.608 < -22.631 | logz: -31.196 +/- 0.118 | stop: 2.083]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10443it [00:13, 643.98it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 204979 | eff(%): 4.824 | loglstar: -23.392 < -23.126 < -22.631 | logz: -31.196 +/- 0.118 | stop: 2.083]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10521it [00:13, 658.42it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 206773 | eff(%): 4.820 | loglstar: -23.392 < -22.864 < -22.631 | logz: -31.196 +/- 0.118 | stop: 2.083]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10598it [00:13, 672.66it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 208544 | eff(%): 4.816 | loglstar: -23.392 < -22.654 < -22.631 | logz: -31.196 +/- 0.118 | stop: 2.083]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11072it [00:13, 1464.64it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 209172 | eff(%): 5.028 | loglstar: -23.392 < -20.015 < -22.631 | logz: -31.196 +/- 0.118 | stop: 2.083]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11268it [00:14, 576.53it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 223360 | eff(%): 4.798 | loglstar: -23.931 < -23.312 < -23.392 | logz: -31.187 +/- 0.111 | stop: 1.736] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11741it [00:15, 583.66it/s, batch: 4 | bound: 0 | nc: 23 | ncall: 234833 | eff(%): 5.000 | loglstar: -24.474 < -21.260 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11859it [00:15, 598.93it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 237547 | eff(%): 4.762 | loglstar: -24.474 < -23.965 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11963it [00:15, 617.60it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 239939 | eff(%): 4.758 | loglstar: -24.474 < -23.548 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12058it [00:16, 635.34it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 242124 | eff(%): 4.754 | loglstar: -24.474 < -23.199 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12147it [00:16, 654.68it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 244171 | eff(%): 4.751 | loglstar: -24.474 < -22.853 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12232it [00:16, 668.58it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 246126 | eff(%): 4.748 | loglstar: -24.474 < -22.550 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12314it [00:16, 625.29it/s, batch: 4 | bound: 2 | nc: 23 | ncall: 248012 | eff(%): 4.745 | loglstar: -24.474 < -22.289 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12390it [00:16, 649.59it/s, batch: 4 | bound: 2 | nc: 23 | ncall: 249760 | eff(%): 4.742 | loglstar: -24.474 < -22.081 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12467it [00:16, 675.04it/s, batch: 4 | bound: 2 | nc: 23 | ncall: 251531 | eff(%): 4.740 | loglstar: -24.474 < -21.929 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12544it [00:16, 696.22it/s, batch: 4 | bound: 2 | nc: 23 | ncall: 253302 | eff(%): 4.737 | loglstar: -24.474 < -21.758 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12620it [00:16, 711.64it/s, batch: 4 | bound: 2 | nc: 23 | ncall: 255050 | eff(%): 4.735 | loglstar: -24.474 < -21.600 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12697it [00:16, 725.35it/s, batch: 4 | bound: 2 | nc: 23 | ncall: 256821 | eff(%): 4.732 | loglstar: -24.474 < -21.420 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12773it [00:17, 640.34it/s, batch: 4 | bound: 3 | nc: 23 | ncall: 258569 | eff(%): 4.730 | loglstar: -24.474 < -21.286 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12849it [00:17, 669.38it/s, batch: 4 | bound: 3 | nc: 23 | ncall: 260317 | eff(%): 4.727 | loglstar: -24.474 < -21.150 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12924it [00:17, 690.16it/s, batch: 4 | bound: 3 | nc: 23 | ncall: 262042 | eff(%): 4.725 | loglstar: -24.474 < -21.012 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13001it [00:17, 709.88it/s, batch: 4 | bound: 3 | nc: 23 | ncall: 263813 | eff(%): 4.722 | loglstar: -24.474 < -20.891 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13075it [00:17, 717.92it/s, batch: 4 | bound: 3 | nc: 23 | ncall: 265515 | eff(%): 4.720 | loglstar: -24.474 < -20.802 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13535it [00:17, 1829.76it/s, batch: 4 | bound: 3 | nc: 1 | ncall: 266173 | eff(%): 4.882 | loglstar: -24.474 < -19.784 < -20.789 | logz: -31.178 +/- 0.107 | stop: 1.560]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13725it [00:18, 566.97it/s, batch: 5 | bound: 1 | nc: 1 | ncall: 279563 | eff(%): 4.716 | loglstar: -25.008 < -24.273 < -24.470 | logz: -31.166 +/- 0.097 | stop: 1.191] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14184it [00:19, 563.53it/s, batch: 6 | bound: 0 | nc: 23 | ncall: 291022 | eff(%): 4.874 | loglstar: -25.547 < -23.329 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14298it [00:19, 582.28it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 293644 | eff(%): 4.686 | loglstar: -25.547 < -24.960 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14400it [00:19, 604.63it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 295990 | eff(%): 4.683 | loglstar: -25.547 < -24.489 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14494it [00:19, 627.60it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 298152 | eff(%): 4.681 | loglstar: -25.547 < -24.081 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14583it [00:19, 648.97it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 300199 | eff(%): 4.679 | loglstar: -25.547 < -23.736 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14668it [00:19, 669.93it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 302154 | eff(%): 4.676 | loglstar: -25.547 < -23.405 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14751it [00:20, 621.99it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 304063 | eff(%): 4.675 | loglstar: -25.547 < -23.127 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14824it [00:20, 618.85it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 305742 | eff(%): 4.673 | loglstar: -25.547 < -22.885 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14896it [00:20, 639.78it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 307398 | eff(%): 4.671 | loglstar: -25.547 < -22.694 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14971it [00:20, 664.31it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 309123 | eff(%): 4.669 | loglstar: -25.547 < -22.478 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15048it [00:20, 688.69it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 310894 | eff(%): 4.668 | loglstar: -25.547 < -22.267 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15124it [00:20, 706.57it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 312642 | eff(%): 4.666 | loglstar: -25.547 < -22.052 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15198it [00:20, 622.77it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 314344 | eff(%): 4.664 | loglstar: -25.547 < -21.905 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15273it [00:20, 654.50it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 316069 | eff(%): 4.663 | loglstar: -25.547 < -21.715 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15349it [00:21, 681.61it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 317817 | eff(%): 4.661 | loglstar: -25.547 < -21.531 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15424it [00:21, 699.63it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 319542 | eff(%): 4.659 | loglstar: -25.547 < -21.382 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15496it [00:21, 702.81it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 321198 | eff(%): 4.658 | loglstar: -25.547 < -21.247 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15568it [00:21, 678.97it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 322854 | eff(%): 4.656 | loglstar: -25.547 < -21.100 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15642it [00:21, 694.97it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 324556 | eff(%): 4.655 | loglstar: -25.547 < -20.945 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15713it [00:21, 610.68it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 326189 | eff(%): 4.653 | loglstar: -25.547 < -20.832 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15786it [00:21, 641.36it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 327868 | eff(%): 4.652 | loglstar: -25.547 < -20.742 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15861it [00:21, 670.52it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 329593 | eff(%): 4.650 | loglstar: -25.547 < -20.623 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15932it [00:21, 680.66it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 331226 | eff(%): 4.649 | loglstar: -25.547 < -20.536 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16008it [00:21, 700.53it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 332974 | eff(%): 4.647 | loglstar: -25.547 < -20.423 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16082it [00:22, 710.52it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 334676 | eff(%): 4.646 | loglstar: -25.547 < -20.356 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16156it [00:22, 717.30it/s, batch: 6 | bound: 4 | nc: 23 | ncall: 336378 | eff(%): 4.644 | loglstar: -25.547 < -20.292 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16229it [00:22, 622.58it/s, batch: 6 | bound: 5 | nc: 23 | ncall: 338057 | eff(%): 4.643 | loglstar: -25.547 < -20.214 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16303it [00:22, 652.49it/s, batch: 6 | bound: 5 | nc: 23 | ncall: 339759 | eff(%): 4.641 | loglstar: -25.547 < -20.136 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16379it [00:22, 679.65it/s, batch: 6 | bound: 5 | nc: 23 | ncall: 341507 | eff(%): 4.640 | loglstar: -25.547 < -20.077 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16455it [00:22, 700.50it/s, batch: 6 | bound: 5 | nc: 23 | ncall: 343255 | eff(%): 4.638 | loglstar: -25.547 < -20.019 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16531it [00:22, 717.22it/s, batch: 6 | bound: 5 | nc: 23 | ncall: 345003 | eff(%): 4.637 | loglstar: -25.547 < -19.964 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16608it [00:22, 731.25it/s, batch: 6 | bound: 5 | nc: 23 | ncall: 346774 | eff(%): 4.636 | loglstar: -25.547 < -19.914 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17054it [00:22, 1821.94it/s, batch: 6 | bound: 5 | nc: 1 | ncall: 347462 | eff(%): 4.757 | loglstar: -25.547 < -19.492 < -19.907 | logz: -31.150 +/- 0.095 | stop: 1.132]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "17119it [00:23, 740.56it/s, batch: 6 | bound: 5 | nc: 1 | ncall: 347527 | eff(%): 4.775 | loglstar: -25.547 < -19.290 < -19.907 | logz: -31.150 +/- 0.095 | stop: 0.852] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "0it [00:00, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "267it [00:00, 2667.63it/s, batch: 0 | bound: 0 | nc: 1 | ncall: 353 | eff(%): 31.301 | loglstar: -inf < -13936.947 < inf | logz: -13944.388 +/- 0.122 | dlogz: 14058.993 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "534it [00:00, 2330.98it/s, batch: 0 | bound: 0 | nc: 2 | ncall: 954 | eff(%): 36.726 | loglstar: -inf < -400.275 < inf | logz: -408.250 +/- 0.126 | dlogz: 402.522 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "770it [00:00, 2249.88it/s, batch: 0 | bound: 0 | nc: 5 | ncall: 1919 | eff(%): 31.831 | loglstar: -inf < -95.164 < inf | logz: -101.471 +/- 0.104 | dlogz: 85.134 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "997it [00:00, 2184.18it/s, batch: 0 | bound: 0 | nc: 7 | ncall: 3251 | eff(%): 26.580 | loglstar: -inf < -79.146 < inf | logz: -83.758 +/- 0.086 | dlogz: 66.741 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1217it [00:00, 2008.32it/s, batch: 0 | bound: 0 | nc: 25 | ncall: 5221 | eff(%): 21.273 | loglstar: -inf < -68.747 < inf | logz: -74.549 +/- 0.096 | dlogz: 57.121 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1420it [00:00, 1703.83it/s, batch: 0 | bound: 0 | nc: 37 | ncall: 8243 | eff(%): 16.242 | loglstar: -inf < -59.510 < inf | logz: -65.077 +/- 0.096 | dlogz: 48.178 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1597it [00:00, 1480.79it/s, batch: 0 | bound: 0 | nc: 59 | ncall: 11479 | eff(%): 13.332 | loglstar: -inf < -54.128 < inf | logz: -59.938 +/- 0.098 | dlogz: 42.683 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1753it [00:01, 1239.31it/s, batch: 0 | bound: 0 | nc: 5 | ncall: 15681 | eff(%): 10.834 | loglstar: -inf < -50.464 < inf | logz: -56.328 +/- 0.098 | dlogz: 42.101 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1886it [00:01, 956.81it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 19186 | eff(%): 9.580 | loglstar: -inf < -47.241 < inf | logz: -53.434 +/- 0.101 | dlogz: 38.943 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "1995it [00:01, 895.01it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 21693 | eff(%): 8.989 | loglstar: -inf < -44.649 < inf | logz: -51.042 +/- 0.103 | dlogz: 36.332 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2093it [00:01, 850.84it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 23947 | eff(%): 8.561 | loglstar: -inf < -42.665 < inf | logz: -49.098 +/- 0.104 | dlogz: 35.019 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2183it [00:01, 821.17it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 26017 | eff(%): 8.232 | loglstar: -inf < -41.186 < inf | logz: -47.591 +/- 0.104 | dlogz: 33.329 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2268it [00:01, 790.72it/s, batch: 0 | bound: 1 | nc: 23 | ncall: 27972 | eff(%): 7.966 | loglstar: -inf < -39.773 < inf | logz: -46.314 +/- 0.104 | dlogz: 31.881 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2349it [00:02, 686.91it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 29835 | eff(%): 7.744 | loglstar: -inf < -38.534 < inf | logz: -45.140 +/- 0.105 | dlogz: 31.641 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2423it [00:02, 698.53it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 31537 | eff(%): 7.563 | loglstar: -inf < -37.428 < inf | logz: -44.104 +/- 0.106 | dlogz: 30.456 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2495it [00:02, 701.58it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 33193 | eff(%): 7.405 | loglstar: -inf < -36.246 < inf | logz: -43.140 +/- 0.107 | dlogz: 29.349 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2567it [00:02, 701.49it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 34849 | eff(%): 7.262 | loglstar: -inf < -35.141 < inf | logz: -42.186 +/- 0.108 | dlogz: 28.251 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2639it [00:02, 703.01it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 36505 | eff(%): 7.131 | loglstar: -inf < -33.940 < inf | logz: -41.215 +/- 0.110 | dlogz: 27.138 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2713it [00:02, 710.89it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 38207 | eff(%): 7.009 | loglstar: -inf < -32.540 < inf | logz: -40.032 +/- 0.112 | dlogz: 27.405 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2785it [00:02, 691.88it/s, batch: 0 | bound: 2 | nc: 23 | ncall: 39863 | eff(%): 6.900 | loglstar: -inf < -31.417 < inf | logz: -38.930 +/- 0.114 | dlogz: 26.157 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2855it [00:02, 598.56it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 41473 | eff(%): 6.802 | loglstar: -inf < -30.440 < inf | logz: -37.987 +/- 0.114 | dlogz: 25.073 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "2928it [00:02, 631.47it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 43152 | eff(%): 6.708 | loglstar: -inf < -29.435 < inf | logz: -37.064 +/- 0.115 | dlogz: 24.003 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3001it [00:02, 655.31it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 44831 | eff(%): 6.620 | loglstar: -inf < -28.252 < inf | logz: -36.140 +/- 0.116 | dlogz: 22.935 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3073it [00:03, 672.70it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 46487 | eff(%): 6.540 | loglstar: -inf < -26.998 < inf | logz: -35.136 +/- 0.117 | dlogz: 21.789 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3144it [00:03, 681.82it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 48120 | eff(%): 6.466 | loglstar: -inf < -25.851 < inf | logz: -34.110 +/- 0.119 | dlogz: 20.620 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3216it [00:03, 691.42it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 49776 | eff(%): 6.397 | loglstar: -inf < -24.819 < inf | logz: -33.149 +/- 0.120 | dlogz: 19.514 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3289it [00:03, 701.20it/s, batch: 0 | bound: 3 | nc: 23 | ncall: 51455 | eff(%): 6.330 | loglstar: -inf < -23.997 < inf | logz: -32.274 +/- 0.120 | dlogz: 18.492 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3360it [00:03, 601.14it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 53088 | eff(%): 6.270 | loglstar: -inf < -22.985 < inf | logz: -31.460 +/- 0.121 | dlogz: 17.536 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3423it [00:03, 599.28it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 54537 | eff(%): 6.219 | loglstar: -inf < -22.120 < inf | logz: -30.710 +/- 0.122 | dlogz: 16.660 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3494it [00:03, 628.49it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 56170 | eff(%): 6.166 | loglstar: -inf < -21.162 < inf | logz: -29.924 +/- 0.123 | dlogz: 15.732 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3566it [00:03, 651.17it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 57826 | eff(%): 6.114 | loglstar: -inf < -20.362 < inf | logz: -29.133 +/- 0.124 | dlogz: 14.797 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3637it [00:03, 667.54it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 59459 | eff(%): 6.066 | loglstar: -inf < -19.558 < inf | logz: -28.422 +/- 0.124 | dlogz: 13.943 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3706it [00:04, 672.51it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 61046 | eff(%): 6.022 | loglstar: -inf < -18.899 < inf | logz: -27.778 +/- 0.125 | dlogz: 13.160 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3774it [00:04, 668.22it/s, batch: 0 | bound: 4 | nc: 23 | ncall: 62610 | eff(%): 5.980 | loglstar: -inf < -18.237 < inf | logz: -27.183 +/- 0.125 | dlogz: 12.530 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3842it [00:04, 569.89it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 64174 | eff(%): 5.941 | loglstar: -inf < -17.602 < inf | logz: -26.625 +/- 0.126 | dlogz: 11.835 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3904it [00:04, 581.92it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 65600 | eff(%): 5.906 | loglstar: -inf < -17.006 < inf | logz: -26.140 +/- 0.126 | dlogz: 11.226 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "3972it [00:04, 607.37it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 67164 | eff(%): 5.870 | loglstar: -inf < -16.394 < inf | logz: -25.613 +/- 0.127 | dlogz: 10.563 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4041it [00:04, 628.52it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 68751 | eff(%): 5.835 | loglstar: -inf < -15.853 < inf | logz: -25.119 +/- 0.128 | dlogz: 9.930 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4109it [00:04, 643.08it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 70315 | eff(%): 5.802 | loglstar: -inf < -15.264 < inf | logz: -24.656 +/- 0.128 | dlogz: 9.332 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4180it [00:04, 661.97it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 71948 | eff(%): 5.770 | loglstar: -inf < -14.711 < inf | logz: -24.208 +/- 0.129 | dlogz: 8.742 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4247it [00:04, 629.56it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 73489 | eff(%): 5.740 | loglstar: -inf < -14.219 < inf | logz: -23.801 +/- 0.129 | dlogz: 8.201 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4318it [00:05, 650.80it/s, batch: 0 | bound: 5 | nc: 23 | ncall: 75122 | eff(%): 5.710 | loglstar: -inf < -13.717 < inf | logz: -23.383 +/- 0.130 | dlogz: 7.640 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4384it [00:05, 570.02it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 76640 | eff(%): 5.683 | loglstar: -inf < -13.230 < inf | logz: -23.015 +/- 0.131 | dlogz: 7.141 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4449it [00:05, 589.07it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 78135 | eff(%): 5.658 | loglstar: -inf < -12.786 < inf | logz: -22.656 +/- 0.131 | dlogz: 6.653 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4510it [00:05, 590.52it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 79538 | eff(%): 5.635 | loglstar: -inf < -12.325 < inf | logz: -22.324 +/- 0.132 | dlogz: 6.199 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4579it [00:05, 618.02it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 81125 | eff(%): 5.610 | loglstar: -inf < -11.875 < inf | logz: -21.958 +/- 0.133 | dlogz: 5.932 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4650it [00:05, 644.08it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 82758 | eff(%): 5.585 | loglstar: -inf < -11.542 < inf | logz: -21.626 +/- 0.133 | dlogz: 5.460 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4719it [00:05, 657.24it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 84345 | eff(%): 5.562 | loglstar: -inf < -11.236 < inf | logz: -21.336 +/- 0.134 | dlogz: 5.033 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4787it [00:05, 661.34it/s, batch: 0 | bound: 6 | nc: 23 | ncall: 85909 | eff(%): 5.540 | loglstar: -inf < -10.861 < inf | logz: -21.075 +/- 0.134 | dlogz: 4.639 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4854it [00:05, 563.56it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 87450 | eff(%): 5.519 | loglstar: -inf < -10.594 < inf | logz: -20.835 +/- 0.134 | dlogz: 4.270 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4925it [00:06, 600.68it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 89083 | eff(%): 5.498 | loglstar: -inf < -10.268 < inf | logz: -20.599 +/- 0.135 | dlogz: 3.897 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "4996it [00:06, 628.45it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 90716 | eff(%): 5.477 | loglstar: -inf < -10.007 < inf | logz: -20.378 +/- 0.135 | dlogz: 3.544 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5067it [00:06, 650.85it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 92349 | eff(%): 5.457 | loglstar: -inf < -9.751 < inf | logz: -20.178 +/- 0.136 | dlogz: 3.213 > 0.010] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5138it [00:06, 667.44it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 93982 | eff(%): 5.438 | loglstar: -inf < -9.570 < inf | logz: -19.998 +/- 0.136 | dlogz: 2.906 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5209it [00:06, 677.18it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 95615 | eff(%): 5.420 | loglstar: -inf < -9.337 < inf | logz: -19.838 +/- 0.136 | dlogz: 2.623 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5278it [00:06, 678.46it/s, batch: 0 | bound: 7 | nc: 23 | ncall: 97202 | eff(%): 5.402 | loglstar: -inf < -9.146 < inf | logz: -19.695 +/- 0.136 | dlogz: 2.377 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5347it [00:06, 573.88it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 98789 | eff(%): 5.385 | loglstar: -inf < -8.957 < inf | logz: -19.563 +/- 0.137 | dlogz: 2.135 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5413it [00:06, 595.70it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 100307 | eff(%): 5.370 | loglstar: -inf < -8.809 < inf | logz: -19.446 +/- 0.137 | dlogz: 1.920 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5483it [00:06, 623.24it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 101917 | eff(%): 5.354 | loglstar: -inf < -8.658 < inf | logz: -19.335 +/- 0.137 | dlogz: 1.720 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5554it [00:07, 645.70it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 103550 | eff(%): 5.338 | loglstar: -inf < -8.508 < inf | logz: -19.231 +/- 0.137 | dlogz: 1.523 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5621it [00:07, 641.46it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 105091 | eff(%): 5.323 | loglstar: -inf < -8.381 < inf | logz: -19.144 +/- 0.137 | dlogz: 1.354 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5692it [00:07, 658.75it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 106724 | eff(%): 5.309 | loglstar: -inf < -8.234 < inf | logz: -19.059 +/- 0.138 | dlogz: 1.191 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5763it [00:07, 673.54it/s, batch: 0 | bound: 8 | nc: 23 | ncall: 108357 | eff(%): 5.294 | loglstar: -inf < -8.079 < inf | logz: -18.979 +/- 0.138 | dlogz: 1.062 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5832it [00:07, 591.36it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 109944 | eff(%): 5.281 | loglstar: -inf < -7.963 < inf | logz: -18.908 +/- 0.138 | dlogz: 0.931 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5903it [00:07, 621.37it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 111577 | eff(%): 5.267 | loglstar: -inf < -7.861 < inf | logz: -18.842 +/- 0.138 | dlogz: 0.810 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "5974it [00:07, 643.75it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 113210 | eff(%): 5.254 | loglstar: -inf < -7.774 < inf | logz: -18.782 +/- 0.138 | dlogz: 0.703 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6045it [00:07, 660.16it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 114843 | eff(%): 5.241 | loglstar: -inf < -7.667 < inf | logz: -18.728 +/- 0.139 | dlogz: 0.609 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6117it [00:07, 673.25it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 116499 | eff(%): 5.228 | loglstar: -inf < -7.588 < inf | logz: -18.679 +/- 0.139 | dlogz: 0.526 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6188it [00:07, 683.37it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 118132 | eff(%): 5.216 | loglstar: -inf < -7.521 < inf | logz: -18.636 +/- 0.139 | dlogz: 0.454 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6257it [00:08, 667.91it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 119719 | eff(%): 5.205 | loglstar: -inf < -7.470 < inf | logz: -18.599 +/- 0.139 | dlogz: 0.394 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6325it [00:08, 654.61it/s, batch: 0 | bound: 9 | nc: 23 | ncall: 121283 | eff(%): 5.194 | loglstar: -inf < -7.410 < inf | logz: -18.566 +/- 0.139 | dlogz: 0.342 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6391it [00:08, 571.81it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 122801 | eff(%): 5.183 | loglstar: -inf < -7.368 < inf | logz: -18.538 +/- 0.139 | dlogz: 0.298 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6451it [00:08, 565.71it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 124181 | eff(%): 5.174 | loglstar: -inf < -7.321 < inf | logz: -18.515 +/- 0.139 | dlogz: 0.263 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6516it [00:08, 587.33it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 125676 | eff(%): 5.164 | loglstar: -inf < -7.284 < inf | logz: -18.492 +/- 0.139 | dlogz: 0.230 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6576it [00:08, 563.10it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 127056 | eff(%): 5.155 | loglstar: -inf < -7.246 < inf | logz: -18.474 +/- 0.139 | dlogz: 0.203 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6634it [00:08, 557.13it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 128390 | eff(%): 5.147 | loglstar: -inf < -7.211 < inf | logz: -18.457 +/- 0.139 | dlogz: 0.180 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6695it [00:08, 570.21it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 129793 | eff(%): 5.138 | loglstar: -inf < -7.176 < inf | logz: -18.442 +/- 0.140 | dlogz: 0.158 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6753it [00:09, 537.70it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 131127 | eff(%): 5.130 | loglstar: -inf < -7.150 < inf | logz: -18.428 +/- 0.140 | dlogz: 0.141 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6808it [00:09, 523.50it/s, batch: 0 | bound: 10 | nc: 23 | ncall: 132392 | eff(%): 5.123 | loglstar: -inf < -7.131 < inf | logz: -18.417 +/- 0.140 | dlogz: 0.125 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6861it [00:09, 467.06it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 133611 | eff(%): 5.116 | loglstar: -inf < -7.109 < inf | logz: -18.407 +/- 0.140 | dlogz: 0.112 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6909it [00:09, 464.78it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 134715 | eff(%): 5.110 | loglstar: -inf < -7.095 < inf | logz: -18.399 +/- 0.140 | dlogz: 0.102 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "6958it [00:09, 469.37it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 135842 | eff(%): 5.103 | loglstar: -inf < -7.074 < inf | logz: -18.391 +/- 0.140 | dlogz: 0.092 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7029it [00:09, 533.18it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 137475 | eff(%): 5.094 | loglstar: -inf < -7.050 < inf | logz: -18.381 +/- 0.140 | dlogz: 0.080 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7100it [00:09, 579.90it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 139108 | eff(%): 5.086 | loglstar: -inf < -7.032 < inf | logz: -18.372 +/- 0.140 | dlogz: 0.069 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7171it [00:09, 614.01it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 140741 | eff(%): 5.077 | loglstar: -inf < -7.009 < inf | logz: -18.364 +/- 0.140 | dlogz: 0.060 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7234it [00:09, 563.63it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 142190 | eff(%): 5.070 | loglstar: -inf < -6.994 < inf | logz: -18.358 +/- 0.140 | dlogz: 0.052 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7292it [00:10, 534.41it/s, batch: 0 | bound: 11 | nc: 23 | ncall: 143524 | eff(%): 5.063 | loglstar: -inf < -6.981 < inf | logz: -18.353 +/- 0.140 | dlogz: 0.047 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7347it [00:10, 488.35it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 144789 | eff(%): 5.057 | loglstar: -inf < -6.970 < inf | logz: -18.349 +/- 0.140 | dlogz: 0.042 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7398it [00:10, 478.40it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 145962 | eff(%): 5.051 | loglstar: -inf < -6.959 < inf | logz: -18.346 +/- 0.140 | dlogz: 0.038 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7461it [00:10, 516.81it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 147411 | eff(%): 5.044 | loglstar: -inf < -6.948 < inf | logz: -18.342 +/- 0.140 | dlogz: 0.033 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7528it [00:10, 557.98it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 148952 | eff(%): 5.037 | loglstar: -inf < -6.939 < inf | logz: -18.338 +/- 0.140 | dlogz: 0.029 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7590it [00:10, 575.34it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 150378 | eff(%): 5.031 | loglstar: -inf < -6.930 < inf | logz: -18.335 +/- 0.140 | dlogz: 0.026 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7649it [00:10, 573.88it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 151735 | eff(%): 5.024 | loglstar: -inf < -6.924 < inf | logz: -18.332 +/- 0.140 | dlogz: 0.023 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7711it [00:10, 586.97it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 153161 | eff(%): 5.018 | loglstar: -inf < -6.916 < inf | logz: -18.330 +/- 0.140 | dlogz: 0.020 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7782it [00:10, 622.74it/s, batch: 0 | bound: 12 | nc: 23 | ncall: 154794 | eff(%): 5.011 | loglstar: -inf < -6.907 < inf | logz: -18.327 +/- 0.140 | dlogz: 0.017 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7845it [00:11, 536.11it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 156243 | eff(%): 5.005 | loglstar: -inf < -6.900 < inf | logz: -18.325 +/- 0.140 | dlogz: 0.015 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7903it [00:11, 547.09it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 157577 | eff(%): 4.999 | loglstar: -inf < -6.895 < inf | logz: -18.324 +/- 0.140 | dlogz: 0.014 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "7960it [00:11, 549.40it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 158888 | eff(%): 4.994 | loglstar: -inf < -6.889 < inf | logz: -18.322 +/- 0.140 | dlogz: 0.012 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8024it [00:11, 572.02it/s, batch: 0 | bound: 13 | nc: 23 | ncall: 160360 | eff(%): 4.988 | loglstar: -inf < -6.884 < inf | logz: -18.321 +/- 0.140 | dlogz: 0.011 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8345it [00:11, 1322.95it/s, batch: 0 | bound: 13 | nc: 1 | ncall: 161385 | eff(%): 5.164 | loglstar: -inf < -6.856 < inf | logz: -18.315 +/- 0.140 | dlogz: 0.004 > 0.010]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8556it [00:12, 570.70it/s, batch: 1 | bound: 0 | nc: 23 | ncall: 161596 | eff(%): 5.295 | loglstar: -9.625 < -8.666 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8662it [00:12, 589.13it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 164034 | eff(%): 4.935 | loglstar: -9.625 < -9.234 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8756it [00:12, 610.14it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 166196 | eff(%): 4.928 | loglstar: -9.625 < -9.023 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8843it [00:12, 627.05it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 168197 | eff(%): 4.921 | loglstar: -9.625 < -8.810 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "8925it [00:12, 642.02it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 170083 | eff(%): 4.915 | loglstar: -9.625 < -8.641 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9003it [00:12, 654.86it/s, batch: 1 | bound: 1 | nc: 23 | ncall: 171877 | eff(%): 4.910 | loglstar: -9.625 < -8.476 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9079it [00:12, 583.20it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 173625 | eff(%): 4.904 | loglstar: -9.625 < -8.306 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9150it [00:13, 608.67it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 175258 | eff(%): 4.899 | loglstar: -9.625 < -8.175 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9218it [00:13, 611.02it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 176822 | eff(%): 4.895 | loglstar: -9.625 < -8.057 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9284it [00:13, 620.51it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 178340 | eff(%): 4.890 | loglstar: -9.625 < -7.945 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9354it [00:13, 636.70it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 179950 | eff(%): 4.886 | loglstar: -9.625 < -7.836 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9425it [00:13, 652.88it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 181583 | eff(%): 4.881 | loglstar: -9.625 < -7.743 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9495it [00:13, 665.14it/s, batch: 1 | bound: 2 | nc: 23 | ncall: 183193 | eff(%): 4.877 | loglstar: -9.625 < -7.670 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9563it [00:13, 574.72it/s, batch: 1 | bound: 3 | nc: 23 | ncall: 184757 | eff(%): 4.873 | loglstar: -9.625 < -7.611 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "9922it [00:13, 1351.29it/s, batch: 1 | bound: 3 | nc: 1 | ncall: 185534 | eff(%): 5.044 | loglstar: -9.625 < -7.233 < -7.599 | logz: -18.311 +/- 0.144 | stop: 3.917]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10082it [00:14, 513.23it/s, batch: 2 | bound: 0 | nc: 23 | ncall: 196694 | eff(%): 5.126 | loglstar: -10.237 < -9.527 < -9.623 | logz: -18.311 +/- 0.117 | stop: 2.325]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10194it [00:14, 526.49it/s, batch: 2 | bound: 1 | nc: 23 | ncall: 199270 | eff(%): 4.837 | loglstar: -10.237 < -9.856 < -9.623 | logz: -18.311 +/- 0.117 | stop: 2.325]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10290it [00:14, 568.23it/s, batch: 2 | bound: 1 | nc: 1 | ncall: 200774 | eff(%): 4.848 | loglstar: -10.237 < -9.481 < -9.623 | logz: -18.311 +/- 0.117 | stop: 2.325] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10758it [00:15, 569.90it/s, batch: 3 | bound: 0 | nc: 23 | ncall: 212242 | eff(%): 5.069 | loglstar: -10.703 < -10.564 < -10.236 | logz: -18.307 +/- 0.110 | stop: 1.941]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10839it [00:15, 580.00it/s, batch: 3 | bound: 1 | nc: 23 | ncall: 214105 | eff(%): 4.804 | loglstar: -10.703 < -10.394 < -10.236 | logz: -18.307 +/- 0.110 | stop: 1.941]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "10996it [00:15, 696.56it/s, batch: 3 | bound: 1 | nc: 1 | ncall: 215164 | eff(%): 4.854 | loglstar: -10.703 < -9.763 < -10.236 | logz: -18.307 +/- 0.110 | stop: 1.941] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11380it [00:16, 558.52it/s, batch: 4 | bound: 0 | nc: 23 | ncall: 226548 | eff(%): 5.023 | loglstar: -11.170 < -7.890 < -10.701 | logz: -18.315 +/- 0.106 | stop: 1.723]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11464it [00:16, 569.42it/s, batch: 4 | bound: 1 | nc: 23 | ncall: 228480 | eff(%): 4.777 | loglstar: -11.170 < -10.800 < -10.701 | logz: -18.315 +/- 0.106 | stop: 1.723]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11771it [00:17, 850.36it/s, batch: 4 | bound: 1 | nc: 1 | ncall: 229359 | eff(%): 4.893 | loglstar: -11.170 < -9.173 < -10.701 | logz: -18.315 +/- 0.106 | stop: 1.723] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "11990it [00:17, 530.70it/s, batch: 5 | bound: 0 | nc: 23 | ncall: 240578 | eff(%): 4.984 | loglstar: -11.672 < -11.458 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12102it [00:18, 540.06it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 243154 | eff(%): 4.752 | loglstar: -11.672 < -11.061 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12198it [00:18, 560.69it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 245362 | eff(%): 4.749 | loglstar: -11.672 < -10.683 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12286it [00:18, 556.49it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 247386 | eff(%): 4.746 | loglstar: -11.672 < -10.299 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12364it [00:18, 573.37it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 249180 | eff(%): 4.743 | loglstar: -11.672 < -9.995 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12438it [00:18, 591.44it/s, batch: 5 | bound: 1 | nc: 23 | ncall: 250882 | eff(%): 4.740 | loglstar: -11.672 < -9.691 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12510it [00:18, 547.13it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 252538 | eff(%): 4.738 | loglstar: -11.672 < -9.416 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12574it [00:18, 561.53it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 254010 | eff(%): 4.736 | loglstar: -11.672 < -9.194 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12644it [00:18, 591.00it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 255620 | eff(%): 4.733 | loglstar: -11.672 < -9.003 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12709it [00:19, 564.90it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 257115 | eff(%): 4.731 | loglstar: -11.672 < -8.837 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12773it [00:19, 582.44it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 258587 | eff(%): 4.729 | loglstar: -11.672 < -8.675 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12843it [00:19, 611.75it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 260197 | eff(%): 4.727 | loglstar: -11.672 < -8.522 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12907it [00:19, 609.20it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 261669 | eff(%): 4.725 | loglstar: -11.672 < -8.414 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "12971it [00:19, 615.94it/s, batch: 5 | bound: 2 | nc: 23 | ncall: 263141 | eff(%): 4.723 | loglstar: -11.672 < -8.289 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13034it [00:19, 545.25it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 264590 | eff(%): 4.721 | loglstar: -11.672 < -8.148 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13099it [00:19, 571.40it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 266085 | eff(%): 4.719 | loglstar: -11.672 < -8.037 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13170it [00:19, 608.73it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 267718 | eff(%): 4.717 | loglstar: -11.672 < -7.940 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13241it [00:19, 635.41it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 269351 | eff(%): 4.715 | loglstar: -11.672 < -7.836 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13312it [00:20, 654.03it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 270984 | eff(%): 4.712 | loglstar: -11.672 < -7.763 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13383it [00:20, 668.63it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 272617 | eff(%): 4.710 | loglstar: -11.672 < -7.688 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13451it [00:20, 659.58it/s, batch: 5 | bound: 3 | nc: 23 | ncall: 274181 | eff(%): 4.708 | loglstar: -11.672 < -7.612 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13518it [00:20, 574.57it/s, batch: 5 | bound: 4 | nc: 23 | ncall: 275722 | eff(%): 4.706 | loglstar: -11.672 < -7.557 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "13645it [00:20, 758.12it/s, batch: 5 | bound: 4 | nc: 1 | ncall: 277081 | eff(%): 4.729 | loglstar: -11.672 < -7.454 < -7.508 | logz: -18.325 +/- 0.102 | stop: 1.577] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14074it [00:21, 566.15it/s, batch: 6 | bound: 0 | nc: 23 | ncall: 288510 | eff(%): 4.878 | loglstar: -12.163 < -9.396 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14146it [00:21, 575.70it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 290166 | eff(%): 4.689 | loglstar: -12.163 < -11.743 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14216it [00:21, 591.22it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 291776 | eff(%): 4.687 | loglstar: -12.163 < -11.406 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14287it [00:21, 609.54it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 293409 | eff(%): 4.686 | loglstar: -12.163 < -11.041 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14358it [00:21, 626.91it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 295042 | eff(%): 4.684 | loglstar: -12.163 < -10.728 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14429it [00:21, 641.67it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 296675 | eff(%): 4.682 | loglstar: -12.163 < -10.415 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14499it [00:21, 649.24it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 298285 | eff(%): 4.680 | loglstar: -12.163 < -10.138 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14570it [00:22, 662.14it/s, batch: 6 | bound: 1 | nc: 23 | ncall: 299918 | eff(%): 4.679 | loglstar: -12.163 < -9.944 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14640it [00:22, 588.14it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 301528 | eff(%): 4.677 | loglstar: -12.163 < -9.678 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14704it [00:22, 599.11it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 303000 | eff(%): 4.675 | loglstar: -12.163 < -9.407 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14774it [00:22, 625.00it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 304610 | eff(%): 4.674 | loglstar: -12.163 < -9.253 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14845it [00:22, 645.98it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 306243 | eff(%): 4.672 | loglstar: -12.163 < -9.032 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14916it [00:22, 661.44it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 307876 | eff(%): 4.670 | loglstar: -12.163 < -8.840 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "14984it [00:22, 639.31it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 309440 | eff(%): 4.669 | loglstar: -12.163 < -8.667 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15055it [00:22, 657.13it/s, batch: 6 | bound: 2 | nc: 23 | ncall: 311073 | eff(%): 4.667 | loglstar: -12.163 < -8.543 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15122it [00:22, 585.18it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 312614 | eff(%): 4.666 | loglstar: -12.163 < -8.426 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15193it [00:23, 615.92it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 314247 | eff(%): 4.664 | loglstar: -12.163 < -8.289 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15263it [00:23, 638.57it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 315857 | eff(%): 4.662 | loglstar: -12.163 < -8.135 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15329it [00:23, 644.11it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 317375 | eff(%): 4.661 | loglstar: -12.163 < -8.032 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15395it [00:23, 644.74it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 318893 | eff(%): 4.660 | loglstar: -12.163 < -7.937 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15465it [00:23, 659.24it/s, batch: 6 | bound: 3 | nc: 23 | ncall: 320503 | eff(%): 4.658 | loglstar: -12.163 < -7.830 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "15674it [00:23, 1076.44it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 321702 | eff(%): 4.706 | loglstar: -12.163 < -7.548 < -7.774 | logz: -18.304 +/- 0.091 | stop: 1.173]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16010it [00:23, 1282.65it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 322038 | eff(%): 4.807 | loglstar: -12.163 < -6.831 < -7.774 | logz: -18.304 +/- 0.091 | stop: 0.953]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "16010it [00:23, 673.03it/s, batch: 6 | bound: 3 | nc: 1 | ncall: 322038 | eff(%): 4.807 | loglstar: -12.163 < -6.831 < -7.774 | logz: -18.304 +/- 0.091 | stop: 0.953] " ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Positive vs Negative slope\n", "===========================\n", "logZ(m>0) = -31.150 ± 0.084\n", "logZ(m<0) = -18.297 ± 0.084\n", "log Bayes factor = 12.853\n", "Negative slope favored.\n", "==========================\n", "Linear fit parameters:\n", "m = -16.232177 +/- 2.244465\n", "b = 40.358456 +/- 1.342313\n", "ln_f = -3.454620 +/- 0.228164\n", "------------------------------\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hecate.plot_local_params(indices_final, local_params, master_params, \n", " suptitle=r\"Local white light CCF parameters\",\n", " linear_fit_pairs=[(\"phases\", 0), (\"mu\", 1), (\"mu\", 2)])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.13" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "0044b54e51624a688ef43dd4758f2050": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "08a1a1540ac6480cbd81416e9cf5d694": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "158ecefdbd8b4b8e8c494130345d0aad": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_08a1a1540ac6480cbd81416e9cf5d694", "max": 9.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_aad422c246a949f99a8cf21a44763ad3", "tabbable": null, "tooltip": null, "value": 9.0 } }, "171a9e31e43740bbbbd19d725720a390": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "2394d4f97e544bcead2e21a2dc5c2ebb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_8894a8422fff4c67acf60a6a55443daa", "IPY_MODEL_8e140a2b3df5469ea3c8081e7ee46c57", "IPY_MODEL_97f8e373af424b99a75dcdc2e255340d" ], "layout": "IPY_MODEL_ce7412cccaf14871a38c5feb7d12982b", "tabbable": null, "tooltip": null } }, "4bdd289884c34c8cb07a97afdc3407c7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_6468a007ce8049c9a3cd65cc39d31be1", "placeholder": "​", "style": "IPY_MODEL_b7449ce300f544b1853523528c30e27d", "tabbable": null, "tooltip": null, "value": " 9/9 [00:10<00:00,  1.12s/it]" } }, "4eb64e8104dd423789d0de33bafcfec7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_a1517a6e23c4474cbf85e6c028d92d65", "placeholder": "​", "style": "IPY_MODEL_171a9e31e43740bbbbd19d725720a390", "tabbable": null, "tooltip": null, "value": "Updating server file list: 100%" } }, "56ca9431751149a58097d71ac0bd0035": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "5fff524131f94646a3a71947a3245cac": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6468a007ce8049c9a3cd65cc39d31be1": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "8894a8422fff4c67acf60a6a55443daa": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_fad4452559024620a8a169cc8ef4fa84", "placeholder": "​", "style": "IPY_MODEL_56ca9431751149a58097d71ac0bd0035", "tabbable": null, "tooltip": null, "value": "LDTk downloading uncached files: 100%" } }, "8e140a2b3df5469ea3c8081e7ee46c57": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_aac7cd43d65449fb98a9e60c48faecc4", "max": 11.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_cc539e81479c4b10a295c495f7d6b735", "tabbable": null, "tooltip": null, "value": 11.0 } }, "97f8e373af424b99a75dcdc2e255340d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_5fff524131f94646a3a71947a3245cac", "placeholder": "​", "style": "IPY_MODEL_eb7d6b964ca143f5b7d253bb84943c6a", "tabbable": null, "tooltip": null, "value": " 11/11 [00:14<00:00,  1.34s/it]" } }, "a1517a6e23c4474cbf85e6c028d92d65": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "aac7cd43d65449fb98a9e60c48faecc4": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "aad422c246a949f99a8cf21a44763ad3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "b7449ce300f544b1853523528c30e27d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "c7a3f4a625184b7785da93c4dd833294": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_4eb64e8104dd423789d0de33bafcfec7", "IPY_MODEL_158ecefdbd8b4b8e8c494130345d0aad", "IPY_MODEL_4bdd289884c34c8cb07a97afdc3407c7" ], "layout": "IPY_MODEL_0044b54e51624a688ef43dd4758f2050", "tabbable": null, "tooltip": null } }, "cc539e81479c4b10a295c495f7d6b735": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "ce7412cccaf14871a38c5feb7d12982b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "eb7d6b964ca143f5b7d253bb84943c6a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "fad4452559024620a8a169cc8ef4fa84": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }