diff --git a/expe_replay_feedback_KTH.ipynb b/expe_replay_feedback_KTH.ipynb index e45f9158efea1831ddc81c3c96105bec03ceb544..01e50b022edb4cbfe7177bf83673a545af022074 100644 --- a/expe_replay_feedback_KTH.ipynb +++ b/expe_replay_feedback_KTH.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -758,7 +758,8 @@ "metadata": {}, "source": [ "## Run simulations\n", - "### Feedback a0 + FCFS\n", + "### a0 FCFS\n", + "\n", "Compare `ReplayRigid` and `FeedbackThinkTime`." ] }, @@ -776,12 +777,18 @@ "Generate user description file...\n", "Simulation start.\n", "******************\n", - "\n", - "\u001b[36mINFO\u001b[0m[2023-05-25 16:02:38.068] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/rigid_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-25 16:02:38.079] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/rigid_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/rigid_FCFS/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-25 16:02:59.923] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/rigid_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-25 16:02:59.923] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-25 16:02:59.928] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/rigid_FCFS/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.out.log\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36mINFO\u001b[0m[2023-06-22 14:30:06.799] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/rigid_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:30:06.808] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/rigid_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/rigid_FCFS/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:30:23.929] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/rigid_FCFS/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:30:23.929] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:30:23.933] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/rigid_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/rigid_FCFS/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n" @@ -863,7 +870,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Feedback a0 + EASY\n", + "### a0 EASY\n", "Compare `ReplayRigid` and `FeedbackThinkTime`." ] }, @@ -958,60 +965,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Feedback a60\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Expe feedback a0.\n", - "-------\n", - "Generate user description file...\n", - "Simulation start.\n", - "******************\n", - "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 17:35:03.395] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 17:35:03.417] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_EASY/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 17:35:27.302] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 17:35:27.302] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 17:35:27.319] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.out.log\n", - "\n", - "******************\n", - "Simulation done.\n" - ] - } - ], - "source": [ - "# Expe feedback a0 EASY\n", - "pf = f\"{PF_folder}/infra.xml\"\n", - "wl = f\"{WL_folder}/a60\"\n", - "EXPE_FILE = EXPE_DIR + \"/a60_EASY\"\n", - "\n", - "print(\"Expe feedback a0.\\n-------\\nGenerate user description file...\")\n", - "uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n", - "\n", - "print(\"Simulation start.\\n******************\\n\")\n", - "! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", - " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", - " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n", - "! robin {EXPE_FILE}.yaml\n", - "print(\"\\n******************\\nSimulation done.\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Influence of infra\n", + "### a0 speed\n", "4 new expe:\n", - "- rigid easy: speed*2 and infra/2\n", + "- rigid easy: speed*2 and speed/2\n", "- feedback a0 easy: speed*2 and speed/2" ] }, @@ -1281,7 +1237,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Influence of infra size\n", + "### a0 infra\n", "4 new expe:\n", "- rigid easy: infra*2 and infra/2\n", "- feedback a0 easy: infra*2 and infra/2" @@ -1460,233 +1416,567 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Results\n", - "### Scheduling metrics" + "### a60 EASY\n" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Simulation results:\n" + "Expe feedback a60.\n", + "-------\n", + "Generate user description file...\n", + "Simulation start.\n", + "******************\n", + "\n" ] }, { - "data": { - "text/html": [ - "<div>\n", - "<style scoped>\n", - " .dataframe tbody tr th:only-of-type {\n", - " vertical-align: middle;\n", - " }\n", - "\n", - " .dataframe tbody tr th {\n", - " vertical-align: top;\n", - " }\n", - "\n", - " .dataframe thead th {\n", - " text-align: right;\n", - " }\n", - "</style>\n", - "<table border=\"1\" class=\"dataframe\">\n", - " <thead>\n", - " <tr style=\"text-align: right;\">\n", - " <th></th>\n", - " <th>expe_name</th>\n", - " <th>simulation_time</th>\n", - " <th>makespan</th>\n", - " <th>length</th>\n", - " <th>lateness</th>\n", - " <th>stretch</th>\n", - " <th>delta</th>\n", - " <th>consumed_joules</th>\n", - " <th>nb_jobs</th>\n", - " <th>nb_jobs_success</th>\n", - " <th>mean_waiting_time</th>\n", - " <th>max_waiting_time</th>\n", - " <th>mean_slowdown</th>\n", - " <th>max_slowdown</th>\n", - " <th>mean_turnaround_time</th>\n", - " <th>max_turnaround_time</th>\n", - " <th>nb_computing_machines</th>\n", - " </tr>\n", - " </thead>\n", - " <tbody>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>original_log</td>\n", - " <td>0.000000</td>\n", - " <td>2.876502e+07</td>\n", - " <td>28763768</td>\n", - " <td>0</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", - " <td>28476</td>\n", - " <td>20530</td>\n", - " <td>1.529587e+04</td>\n", - " <td>9.800400e+05</td>\n", - " <td>7.023298e+02</td>\n", - " <td>6.877210e+05</td>\n", - " <td>2.416773e+04</td>\n", - " <td>1.108976e+06</td>\n", - " <td>NaN</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>rigid_FCFS</td>\n", - " <td>20.248604</td>\n", - " <td>2.937961e+07</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>5.291148e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>3.898522e+05</td>\n", - " <td>1.018341e+06</td>\n", - " <td>1.007684e+07</td>\n", - " <td>7.119610e+10</td>\n", - " <td>3.987243e+05</td>\n", - " <td>1.197121e+06</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>rigid_EASY</td>\n", - " <td>25.167727</td>\n", - " <td>2.936363e+07</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>5.289550e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>5.750578e+03</td>\n", - " <td>3.520500e+05</td>\n", - " <td>3.911159e+05</td>\n", - " <td>5.751400e+09</td>\n", - " <td>1.462274e+04</td>\n", - " <td>3.617840e+05</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_FCFS</td>\n", - " <td>20.766188</td>\n", - " <td>4.016510e+07</td>\n", - " <td>457 days 18:00:43</td>\n", - " <td>2821433</td>\n", - " <td>1.098090</td>\n", - " <td>198.176161</td>\n", - " <td>6.375922e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>2.494941e+04</td>\n", - " <td>4.275450e+05</td>\n", - " <td>3.502620e+05</td>\n", - " <td>7.638800e+09</td>\n", - " <td>3.382158e+04</td>\n", - " <td>5.289330e+05</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_EASY</td>\n", - " <td>20.822324</td>\n", - " <td>3.259766e+07</td>\n", - " <td>370 days 07:49:45</td>\n", - " <td>-276429</td>\n", - " <td>0.990390</td>\n", - " <td>-19.416288</td>\n", - " <td>5.619178e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>5.141245e+03</td>\n", - " <td>3.816780e+05</td>\n", - " <td>2.364843e+04</td>\n", - " <td>6.706000e+08</td>\n", - " <td>1.401341e+04</td>\n", - " <td>4.625810e+05</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a60_EASY</td>\n", - " <td>23.833422</td>\n", - " <td>3.229474e+07</td>\n", - " <td>366 days 19:41:04</td>\n", - " <td>-384430</td>\n", - " <td>0.986635</td>\n", - " <td>-27.002240</td>\n", - " <td>5.588886e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>5.948944e+03</td>\n", - " <td>3.583220e+05</td>\n", - " <td>1.233485e+03</td>\n", - " <td>3.160000e+07</td>\n", - " <td>1.482111e+04</td>\n", - " <td>5.032910e+05</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>rigid_speed*2</td>\n", - " <td>23.064462</td>\n", - " <td>2.936362e+07</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>4.112956e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>7.115142e+02</td>\n", - " <td>1.159555e+05</td>\n", - " <td>4.207044e+01</td>\n", - " <td>7.038100e+04</td>\n", - " <td>5.147596e+03</td>\n", - " <td>1.276250e+05</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>rigid_speed/2</td>\n", - " <td>1780.502874</td>\n", - " <td>4.151708e+07</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>8.858083e+11</td>\n", - " <td>28475</td>\n", - " <td>27482</td>\n", - " <td>2.585929e+06</td>\n", - " <td>1.237084e+07</td>\n", - " <td>2.972646e+07</td>\n", - " <td>5.154324e+11</td>\n", - " <td>2.603673e+06</td>\n", - " <td>1.246510e+07</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_speed*2</td>\n", - " <td>22.412295</td>\n", - " <td>2.933394e+07</td>\n", - " <td>332 days 13:41:18</td>\n", - " <td>-1076817</td>\n", - " <td>0.962563</td>\n", + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36mINFO\u001b[0m[2023-06-22 14:31:45.118] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:31:45.126] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_EASY/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:05.287] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:05.287] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:05.299] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_EASY/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] + } + ], + "source": [ + "# Expe feedback a60 EASY\n", + "pf = f\"{PF_folder}/infra.xml\"\n", + "wl = f\"{WL_folder}/a60\"\n", + "EXPE_FILE = EXPE_DIR + \"/a60_EASY\"\n", + "\n", + "print(\"Expe feedback a60.\\n-------\\nGenerate user description file...\")\n", + "uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n", + "\n", + "print(\"Simulation start.\\n******************\\n\")\n", + "! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n", + "! robin {EXPE_FILE}.yaml\n", + "print(\"\\n******************\\nSimulation done.\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### a60 FCFS" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe feedback a60.\n", + "-------\n", + "Generate user description file...\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:05.557] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:05.566] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:22.822] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:22.822] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:32:22.825] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\n", + "******************\n", + "Simulation done.\n" + ] + } + ], + "source": [ + "# Expe feedback a0 FCFS\n", + "pf = f\"{PF_folder}/infra.xml\"\n", + "wl_a0 = f\"{WL_folder}/a60\"\n", + "EXPE_FILE = EXPE_DIR + \"/a60_FCFS\"\n", + "\n", + "print(\"Expe feedback a60.\\n-------\\nGenerate user description file...\")\n", + "uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl_a0, \".SABjson\")\n", + "\n", + "print(\"Simulation start.\\n******************\\n\")\n", + "! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v fcfs --variant_options_filepath={uf}'\n", + "! robin {EXPE_FILE}.yaml\n", + "print(\"\\n******************\\nSimulation done.\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### a60 speed\n", + "2 new expe:\n", + "- feedback a60 easy: speed*2 and speed/2" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate the XP files\n", + "speeds = [\"double_speed\", \"half_speed\"]\n", + "wl_a60 = f\"{WL_folder}/a60\"\n", + "\n", + "for speed in speeds:\n", + " pf = f\"{PF_folder}/{speed}.xml\"\n", + "\n", + " # Feedback expe\n", + " EXPE_FILE = f\"{EXPE_DIR}/a60_EASY_{speed}\"\n", + " uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl_a60, \".SABjson\")\n", + " ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe a60_EASY_double_speed.\n", + "-------\n", + "\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:04.793] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:04.803] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:22.769] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:22.769] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:22.771] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] + } + ], + "source": [ + "EXPE = \"a60_EASY_double_speed\"\n", + "print(f\"Expe {EXPE}.\\n-------\\n\")\n", + "\n", + "print(\"Simulation start.\\n******************\\n\")\n", + "! robin {EXPE_DIR}/{EXPE}.yaml\n", + "print(\"\\n******************\\nSimulation done.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe a60_EASY_half_speed.\n", + "-------\n", + "\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:22.906] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:34:22.918] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:00.882] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:00.882] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:00.973] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] + } + ], + "source": [ + "EXPE = \"a60_EASY_half_speed\"\n", + "print(f\"Expe {EXPE}.\\n-------\\n\")\n", + "\n", + "print(\"Simulation start.\\n******************\\n\")\n", + "! robin {EXPE_DIR}/{EXPE}.yaml\n", + "print(\"\\n******************\\nSimulation done.\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### a60 infra\n", + "2 new expe:\n", + "- feedback a60 easy: infra*2 and infra/2" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate the XP files\n", + "infras = [\"double_infra\", \"half_infra\"]\n", + "wl_a60 = f\"{WL_folder}/a60\"\n", + "\n", + "for infra in infras:\n", + " pf = f\"{PF_folder}/{infra}.xml\"\n", + "\n", + " # Feedback expe\n", + " EXPE_FILE = f\"{EXPE_DIR}/a60_EASY_{infra}\"\n", + " uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl_a60, \".SABjson\")\n", + " ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe a60_EASY_double_infra.\n", + "-------\n", + "\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:17.063] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_double_infra/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:17.072] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_double_infra/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_double_infra/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:36.665] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_double_infra/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:36.666] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:36.674] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_double_infra/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_double_infra/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\n", + "******************\n", + "Simulation done.\n" + ] + } + ], + "source": [ + "EXPE = \"a60_EASY_double_infra\"\n", + "print(f\"Expe {EXPE}.\\n-------\\n\")\n", + "\n", + "print(\"Simulation start.\\n******************\\n\")\n", + "! robin {EXPE_DIR}/{EXPE}.yaml\n", + "print(\"\\n******************\\nSimulation done.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe a60_EASY_half_infra.\n", + "-------\n", + "\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:36.806] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_half_infra/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:35:36.814] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_half_infra/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_half_infra/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36mINFO\u001b[0m[2023-06-22 14:36:00.031] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_EASY_half_infra/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:36:00.031] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 14:36:00.088] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a60_EASY_half_infra/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_EASY_half_infra/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] + } + ], + "source": [ + "EXPE = \"a60_EASY_half_infra\"\n", + "print(f\"Expe {EXPE}.\\n-------\\n\")\n", + "\n", + "print(\"Simulation start.\\n******************\\n\")\n", + "! robin {EXPE_DIR}/{EXPE}.yaml\n", + "print(\"\\n******************\\nSimulation done.\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "### Scheduling metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation results:\n" + ] + }, + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>expe</th>\n", + " <th>replay</th>\n", + " <th>simulation_time</th>\n", + " <th>makespan</th>\n", + " <th>length</th>\n", + " <th>lateness</th>\n", + " <th>stretch</th>\n", + " <th>delta</th>\n", + " <th>nb_jobs</th>\n", + " <th>nb_jobs_success</th>\n", + " <th>mean_waiting_time</th>\n", + " <th>max_waiting_time</th>\n", + " <th>mean_slowdown</th>\n", + " <th>max_slowdown</th>\n", + " <th>mean_turnaround_time</th>\n", + " <th>max_turnaround_time</th>\n", + " <th>nb_computing_machines</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>original_log</td>\n", + " <td>NaN</td>\n", + " <td>0.000000</td>\n", + " <td>2.876502e+07</td>\n", + " <td>28763768</td>\n", + " <td>0</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " <td>28476</td>\n", + " <td>20530</td>\n", + " <td>1.529587e+04</td>\n", + " <td>9.800400e+05</td>\n", + " <td>7.023298e+02</td>\n", + " <td>6.877210e+05</td>\n", + " <td>2.416773e+04</td>\n", + " <td>1.108976e+06</td>\n", + " <td>NaN</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>EASY</td>\n", + " <td>rigid</td>\n", + " <td>25.167727</td>\n", + " <td>2.936363e+07</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>5.750578e+03</td>\n", + " <td>3.520500e+05</td>\n", + " <td>3.911159e+05</td>\n", + " <td>5.751400e+09</td>\n", + " <td>1.462274e+04</td>\n", + " <td>3.617840e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>EASY</td>\n", + " <td>a0</td>\n", + " <td>20.822324</td>\n", + " <td>3.259766e+07</td>\n", + " <td>370 days 07:49:45</td>\n", + " <td>-276429</td>\n", + " <td>0.990390</td>\n", + " <td>-19.416288</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>5.141245e+03</td>\n", + " <td>3.816780e+05</td>\n", + " <td>2.364843e+04</td>\n", + " <td>6.706000e+08</td>\n", + " <td>1.401341e+04</td>\n", + " <td>4.625810e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>EASY</td>\n", + " <td>a60</td>\n", + " <td>20.112077</td>\n", + " <td>3.229474e+07</td>\n", + " <td>366 days 19:41:04</td>\n", + " <td>-384430</td>\n", + " <td>0.986635</td>\n", + " <td>-27.002240</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>5.948944e+03</td>\n", + " <td>3.583220e+05</td>\n", + " <td>1.233485e+03</td>\n", + " <td>3.160000e+07</td>\n", + " <td>1.482111e+04</td>\n", + " <td>5.032910e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>FCFS</td>\n", + " <td>rigid</td>\n", + " <td>17.047598</td>\n", + " <td>2.937961e+07</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>3.898522e+05</td>\n", + " <td>1.018341e+06</td>\n", + " <td>1.007684e+07</td>\n", + " <td>7.119610e+10</td>\n", + " <td>3.987243e+05</td>\n", + " <td>1.197121e+06</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>FCFS</td>\n", + " <td>a0</td>\n", + " <td>20.766188</td>\n", + " <td>4.016510e+07</td>\n", + " <td>457 days 18:00:43</td>\n", + " <td>2821433</td>\n", + " <td>1.098090</td>\n", + " <td>198.176161</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>2.494941e+04</td>\n", + " <td>4.275450e+05</td>\n", + " <td>3.502620e+05</td>\n", + " <td>7.638800e+09</td>\n", + " <td>3.382158e+04</td>\n", + " <td>5.289330e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>FCFS</td>\n", + " <td>a60</td>\n", + " <td>17.219651</td>\n", + " <td>3.986430e+07</td>\n", + " <td>454 days 06:27:17</td>\n", + " <td>2272841</td>\n", + " <td>1.079017</td>\n", + " <td>159.643255</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>4.069778e+04</td>\n", + " <td>3.863410e+05</td>\n", + " <td>8.280872e+05</td>\n", + " <td>1.751790e+10</td>\n", + " <td>4.956994e+04</td>\n", + " <td>4.552280e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>speed*2</td>\n", + " <td>rigid</td>\n", + " <td>23.064462</td>\n", + " <td>2.936362e+07</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>7.115142e+02</td>\n", + " <td>1.159555e+05</td>\n", + " <td>4.207044e+01</td>\n", + " <td>7.038100e+04</td>\n", + " <td>5.147596e+03</td>\n", + " <td>1.276250e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>speed*2</td>\n", + " <td>a0</td>\n", + " <td>22.412295</td>\n", + " <td>2.933394e+07</td>\n", + " <td>332 days 13:41:18</td>\n", + " <td>-1076817</td>\n", + " <td>0.962563</td>\n", " <td>-75.635114</td>\n", - " <td>4.113100e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>5.436684e+02</td>\n", @@ -1699,14 +1989,54 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>a0_speed/2</td>\n", + " <td>speed*2</td>\n", + " <td>a60</td>\n", + " <td>17.917970</td>\n", + " <td>2.933725e+07</td>\n", + " <td>332 days 14:36:28</td>\n", + " <td>-1147583</td>\n", + " <td>0.960103</td>\n", + " <td>-80.605709</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>6.193969e+02</td>\n", + " <td>1.239335e+05</td>\n", + " <td>2.305915e+01</td>\n", + " <td>5.127850e+04</td>\n", + " <td>5.055479e+03</td>\n", + " <td>1.665720e+05</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>speed/2</td>\n", + " <td>rigid</td>\n", + " <td>1780.502874</td>\n", + " <td>4.151708e+07</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>27482</td>\n", + " <td>2.585929e+06</td>\n", + " <td>1.237084e+07</td>\n", + " <td>2.972646e+07</td>\n", + " <td>5.154324e+11</td>\n", + " <td>2.603673e+06</td>\n", + " <td>1.246510e+07</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>speed/2</td>\n", + " <td>a0</td>\n", " <td>35.881866</td>\n", " <td>5.632677e+07</td>\n", " <td>644 days 17:01:21</td>\n", " <td>3913932</td>\n", " <td>1.136072</td>\n", " <td>274.912695</td>\n", - " <td>1.035150e+12</td>\n", " <td>28475</td>\n", " <td>27367</td>\n", " <td>3.915863e+04</td>\n", @@ -1719,14 +2049,34 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_infra*2</td>\n", + " <td>speed/2</td>\n", + " <td>a60</td>\n", + " <td>37.919674</td>\n", + " <td>5.515537e+07</td>\n", + " <td>631 days 03:38:02</td>\n", + " <td>3647708</td>\n", + " <td>1.126816</td>\n", + " <td>256.213294</td>\n", + " <td>28475</td>\n", + " <td>27296</td>\n", + " <td>4.918003e+04</td>\n", + " <td>9.657540e+05</td>\n", + " <td>8.063818e+05</td>\n", + " <td>1.124980e+10</td>\n", + " <td>6.692436e+04</td>\n", + " <td>1.279881e+06</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra*2</td>\n", + " <td>rigid</td>\n", " <td>26.052244</td>\n", " <td>2.936363e+07</td>\n", " <td>332 days 21:56:08</td>\n", " <td>0</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", - " <td>8.225913e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>2.241955e+02</td>\n", @@ -1739,34 +2089,14 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_infra/2</td>\n", - " <td>134.706976</td>\n", - " <td>3.412071e+07</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>3.598345e+11</td>\n", - " <td>28475</td>\n", - " <td>27825</td>\n", - " <td>3.565033e+05</td>\n", - " <td>5.211222e+06</td>\n", - " <td>1.925122e+06</td>\n", - " <td>2.743200e+10</td>\n", - " <td>3.651817e+05</td>\n", - " <td>5.216237e+06</td>\n", - " <td>50.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_infra*2</td>\n", + " <td>infra*2</td>\n", + " <td>a0</td>\n", " <td>24.329464</td>\n", " <td>2.933878e+07</td>\n", " <td>332 days 15:01:41</td>\n", " <td>-746769</td>\n", " <td>0.974038</td>\n", " <td>-52.452719</td>\n", - " <td>8.227168e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>1.550231e+02</td>\n", @@ -1779,14 +2109,54 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>a0_infra/2</td>\n", + " <td>infra*2</td>\n", + " <td>a60</td>\n", + " <td>19.552126</td>\n", + " <td>2.934047e+07</td>\n", + " <td>332 days 15:26:41</td>\n", + " <td>-802501</td>\n", + " <td>0.972100</td>\n", + " <td>-56.367288</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>2.164562e+02</td>\n", + " <td>6.175100e+04</td>\n", + " <td>8.474173e+00</td>\n", + " <td>1.760900e+04</td>\n", + " <td>9.088620e+03</td>\n", + " <td>2.267090e+05</td>\n", + " <td>200.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra/2</td>\n", + " <td>rigid</td>\n", + " <td>134.706976</td>\n", + " <td>3.412071e+07</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>27825</td>\n", + " <td>3.565033e+05</td>\n", + " <td>5.211222e+06</td>\n", + " <td>1.925122e+06</td>\n", + " <td>2.743200e+10</td>\n", + " <td>3.651817e+05</td>\n", + " <td>5.216237e+06</td>\n", + " <td>50.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra/2</td>\n", + " <td>a0</td>\n", " <td>26.138047</td>\n", " <td>4.170155e+07</td>\n", " <td>475 days 14:09:49</td>\n", " <td>1466723</td>\n", " <td>1.050992</td>\n", " <td>103.021916</td>\n", - " <td>3.983607e+11</td>\n", " <td>28475</td>\n", " <td>27825</td>\n", " <td>2.336571e+04</td>\n", @@ -1797,74 +2167,114 @@ " <td>6.905310e+05</td>\n", " <td>50.0</td>\n", " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra/2</td>\n", + " <td>a60</td>\n", + " <td>23.174844</td>\n", + " <td>4.151894e+07</td>\n", + " <td>473 days 10:04:42</td>\n", + " <td>1285071</td>\n", + " <td>1.044677</td>\n", + " <td>90.262806</td>\n", + " <td>28475</td>\n", + " <td>27825</td>\n", + " <td>3.086934e+04</td>\n", + " <td>6.496630e+05</td>\n", + " <td>6.633238e+05</td>\n", + " <td>1.007980e+10</td>\n", + " <td>3.954771e+04</td>\n", + " <td>6.496910e+05</td>\n", + " <td>50.0</td>\n", + " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ - " expe_name simulation_time makespan length lateness \\\n", - "0 original_log 0.000000 2.876502e+07 28763768 0 \n", - "0 rigid_FCFS 20.248604 2.937961e+07 332 days 21:56:08 0 \n", - "0 rigid_EASY 25.167727 2.936363e+07 332 days 21:56:08 0 \n", - "0 a0_FCFS 20.766188 4.016510e+07 457 days 18:00:43 2821433 \n", - "0 a0_EASY 20.822324 3.259766e+07 370 days 07:49:45 -276429 \n", - "0 a60_EASY 23.833422 3.229474e+07 366 days 19:41:04 -384430 \n", - "0 rigid_speed*2 23.064462 2.936362e+07 332 days 21:56:08 0 \n", - "0 rigid_speed/2 1780.502874 4.151708e+07 332 days 21:56:08 0 \n", - "0 a0_speed*2 22.412295 2.933394e+07 332 days 13:41:18 -1076817 \n", - "0 a0_speed/2 35.881866 5.632677e+07 644 days 17:01:21 3913932 \n", - "0 rigid_infra*2 26.052244 2.936363e+07 332 days 21:56:08 0 \n", - "0 rigid_infra/2 134.706976 3.412071e+07 332 days 21:56:08 0 \n", - "0 a0_infra*2 24.329464 2.933878e+07 332 days 15:01:41 -746769 \n", - "0 a0_infra/2 26.138047 4.170155e+07 475 days 14:09:49 1466723 \n", + " expe replay simulation_time makespan length \\\n", + "0 original_log NaN 0.000000 2.876502e+07 28763768 \n", + "0 EASY rigid 25.167727 2.936363e+07 332 days 21:56:08 \n", + "0 EASY a0 20.822324 3.259766e+07 370 days 07:49:45 \n", + "0 EASY a60 20.112077 3.229474e+07 366 days 19:41:04 \n", + "0 FCFS rigid 17.047598 2.937961e+07 332 days 21:56:08 \n", + "0 FCFS a0 20.766188 4.016510e+07 457 days 18:00:43 \n", + "0 FCFS a60 17.219651 3.986430e+07 454 days 06:27:17 \n", + "0 speed*2 rigid 23.064462 2.936362e+07 332 days 21:56:08 \n", + "0 speed*2 a0 22.412295 2.933394e+07 332 days 13:41:18 \n", + "0 speed*2 a60 17.917970 2.933725e+07 332 days 14:36:28 \n", + "0 speed/2 rigid 1780.502874 4.151708e+07 332 days 21:56:08 \n", + "0 speed/2 a0 35.881866 5.632677e+07 644 days 17:01:21 \n", + "0 speed/2 a60 37.919674 5.515537e+07 631 days 03:38:02 \n", + "0 infra*2 rigid 26.052244 2.936363e+07 332 days 21:56:08 \n", + "0 infra*2 a0 24.329464 2.933878e+07 332 days 15:01:41 \n", + "0 infra*2 a60 19.552126 2.934047e+07 332 days 15:26:41 \n", + "0 infra/2 rigid 134.706976 3.412071e+07 332 days 21:56:08 \n", + "0 infra/2 a0 26.138047 4.170155e+07 475 days 14:09:49 \n", + "0 infra/2 a60 23.174844 4.151894e+07 473 days 10:04:42 \n", "\n", - " stretch delta consumed_joules nb_jobs nb_jobs_success \\\n", - "0 NaN NaN NaN 28476 20530 \n", - "0 1.000000 0.000000 5.291148e+11 28475 28475 \n", - "0 1.000000 0.000000 5.289550e+11 28475 28475 \n", - "0 1.098090 198.176161 6.375922e+11 28475 28475 \n", - "0 0.990390 -19.416288 5.619178e+11 28475 28475 \n", - "0 0.986635 -27.002240 5.588886e+11 28475 28475 \n", - "0 1.000000 0.000000 4.112956e+11 28475 28475 \n", - "0 1.000000 0.000000 8.858083e+11 28475 27482 \n", - "0 0.962563 -75.635114 4.113100e+11 28475 28475 \n", - "0 1.136072 274.912695 1.035150e+12 28475 27367 \n", - "0 1.000000 0.000000 8.225913e+11 28475 28475 \n", - "0 1.000000 0.000000 3.598345e+11 28475 27825 \n", - "0 0.974038 -52.452719 8.227168e+11 28475 28475 \n", - "0 1.050992 103.021916 3.983607e+11 28475 27825 \n", + " lateness stretch delta nb_jobs nb_jobs_success \\\n", + "0 0 NaN NaN 28476 20530 \n", + "0 0 1.000000 0.000000 28475 28475 \n", + "0 -276429 0.990390 -19.416288 28475 28475 \n", + "0 -384430 0.986635 -27.002240 28475 28475 \n", + "0 0 1.000000 0.000000 28475 28475 \n", + "0 2821433 1.098090 198.176161 28475 28475 \n", + "0 2272841 1.079017 159.643255 28475 28475 \n", + "0 0 1.000000 0.000000 28475 28475 \n", + "0 -1076817 0.962563 -75.635114 28475 28475 \n", + "0 -1147583 0.960103 -80.605709 28475 28475 \n", + "0 0 1.000000 0.000000 28475 27482 \n", + "0 3913932 1.136072 274.912695 28475 27367 \n", + "0 3647708 1.126816 256.213294 28475 27296 \n", + "0 0 1.000000 0.000000 28475 28475 \n", + "0 -746769 0.974038 -52.452719 28475 28475 \n", + "0 -802501 0.972100 -56.367288 28475 28475 \n", + "0 0 1.000000 0.000000 28475 27825 \n", + "0 1466723 1.050992 103.021916 28475 27825 \n", + "0 1285071 1.044677 90.262806 28475 27825 \n", "\n", " mean_waiting_time max_waiting_time mean_slowdown max_slowdown \\\n", "0 1.529587e+04 9.800400e+05 7.023298e+02 6.877210e+05 \n", - "0 3.898522e+05 1.018341e+06 1.007684e+07 7.119610e+10 \n", "0 5.750578e+03 3.520500e+05 3.911159e+05 5.751400e+09 \n", - "0 2.494941e+04 4.275450e+05 3.502620e+05 7.638800e+09 \n", "0 5.141245e+03 3.816780e+05 2.364843e+04 6.706000e+08 \n", "0 5.948944e+03 3.583220e+05 1.233485e+03 3.160000e+07 \n", + "0 3.898522e+05 1.018341e+06 1.007684e+07 7.119610e+10 \n", + "0 2.494941e+04 4.275450e+05 3.502620e+05 7.638800e+09 \n", + "0 4.069778e+04 3.863410e+05 8.280872e+05 1.751790e+10 \n", "0 7.115142e+02 1.159555e+05 4.207044e+01 7.038100e+04 \n", - "0 2.585929e+06 1.237084e+07 2.972646e+07 5.154324e+11 \n", "0 5.436684e+02 1.747305e+05 2.132525e+01 2.960900e+04 \n", + "0 6.193969e+02 1.239335e+05 2.305915e+01 5.127850e+04 \n", + "0 2.585929e+06 1.237084e+07 2.972646e+07 5.154324e+11 \n", "0 3.915863e+04 9.083890e+05 2.932436e+05 5.157400e+09 \n", + "0 4.918003e+04 9.657540e+05 8.063818e+05 1.124980e+10 \n", "0 2.241955e+02 4.685400e+04 5.285530e+00 9.618333e+03 \n", - "0 3.565033e+05 5.211222e+06 1.925122e+06 2.743200e+10 \n", "0 1.550231e+02 5.438800e+04 3.710672e+00 1.048200e+04 \n", + "0 2.164562e+02 6.175100e+04 8.474173e+00 1.760900e+04 \n", + "0 3.565033e+05 5.211222e+06 1.925122e+06 2.743200e+10 \n", "0 2.336571e+04 6.398110e+05 2.135482e+05 4.072300e+09 \n", + "0 3.086934e+04 6.496630e+05 6.633238e+05 1.007980e+10 \n", "\n", " mean_turnaround_time max_turnaround_time nb_computing_machines \n", "0 2.416773e+04 1.108976e+06 NaN \n", - "0 3.987243e+05 1.197121e+06 100.0 \n", "0 1.462274e+04 3.617840e+05 100.0 \n", - "0 3.382158e+04 5.289330e+05 100.0 \n", "0 1.401341e+04 4.625810e+05 100.0 \n", "0 1.482111e+04 5.032910e+05 100.0 \n", + "0 3.987243e+05 1.197121e+06 100.0 \n", + "0 3.382158e+04 5.289330e+05 100.0 \n", + "0 4.956994e+04 4.552280e+05 100.0 \n", "0 5.147596e+03 1.276250e+05 100.0 \n", - "0 2.603673e+06 1.246510e+07 100.0 \n", "0 4.979750e+03 1.758730e+05 100.0 \n", + "0 5.055479e+03 1.665720e+05 100.0 \n", + "0 2.603673e+06 1.246510e+07 100.0 \n", "0 5.690296e+04 1.032465e+06 100.0 \n", + "0 6.692436e+04 1.279881e+06 100.0 \n", "0 9.096360e+03 2.267090e+05 200.0 \n", - "0 3.651817e+05 5.216237e+06 50.0 \n", "0 9.027187e+03 2.267090e+05 200.0 \n", - "0 3.204408e+04 6.905310e+05 50.0 " + "0 9.088620e+03 2.267090e+05 200.0 \n", + "0 3.651817e+05 5.216237e+06 50.0 \n", + "0 3.204408e+04 6.905310e+05 50.0 \n", + "0 3.954771e+04 6.496910e+05 50.0 " ] }, "metadata": {}, @@ -1898,14 +2308,14 @@ " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", - " <th>expe_name</th>\n", + " <th>expe</th>\n", + " <th>replay</th>\n", " <th>simulation_time</th>\n", " <th>makespan</th>\n", " <th>length</th>\n", " <th>lateness</th>\n", " <th>stretch</th>\n", " <th>delta</th>\n", - " <th>consumed_joules</th>\n", " <th>nb_jobs</th>\n", " <th>nb_jobs_success</th>\n", " <th>mean_waiting_time</th>\n", @@ -1921,13 +2331,13 @@ " <tr>\n", " <th>0</th>\n", " <td>original_log</td>\n", + " <td>NaN</td>\n", " <td>0 days 00:00:00</td>\n", " <td>332 days 22:17:00</td>\n", " <td>332 days 21:56:08</td>\n", " <td>0 days 00:00:00</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", - " <td>NaN</td>\n", " <td>28476</td>\n", " <td>20530</td>\n", " <td>0 days 04:14:55</td>\n", @@ -1940,34 +2350,14 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_FCFS</td>\n", - " <td>0 days 00:00:20</td>\n", - " <td>340 days 01:00:08</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0 days 00:00:00</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>5.291148e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>4 days 12:17:32</td>\n", - " <td>11 days 18:52:21</td>\n", - " <td>1.007684e+07</td>\n", - " <td>7.119610e+10</td>\n", - " <td>4 days 14:45:24</td>\n", - " <td>13 days 20:32:01</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>rigid_EASY</td>\n", + " <td>EASY</td>\n", + " <td>rigid</td>\n", " <td>0 days 00:00:25</td>\n", " <td>339 days 20:33:46</td>\n", " <td>332 days 21:56:08</td>\n", " <td>0 days 00:00:00</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", - " <td>5.289550e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>0 days 01:35:50</td>\n", @@ -1980,34 +2370,14 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>a0_FCFS</td>\n", - " <td>0 days 00:00:20</td>\n", - " <td>464 days 20:58:24</td>\n", - " <td>457 days 18:00:43</td>\n", - " <td>32 days 15:43:53</td>\n", - " <td>1.098090</td>\n", - " <td>198.176161</td>\n", - " <td>6.375922e+11</td>\n", - " <td>28475</td>\n", - " <td>28475</td>\n", - " <td>0 days 06:55:49</td>\n", - " <td>4 days 22:45:45</td>\n", - " <td>3.502620e+05</td>\n", - " <td>7.638800e+09</td>\n", - " <td>0 days 09:23:41</td>\n", - " <td>6 days 02:55:32</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_EASY</td>\n", + " <td>EASY</td>\n", + " <td>a0</td>\n", " <td>0 days 00:00:20</td>\n", " <td>377 days 06:54:22</td>\n", " <td>370 days 07:49:45</td>\n", " <td>-4 days +19:12:51</td>\n", " <td>0.990390</td>\n", " <td>-19.416288</td>\n", - " <td>5.619178e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>0 days 01:25:41</td>\n", @@ -2020,34 +2390,94 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>a60_EASY</td>\n", - " <td>0 days 00:00:23</td>\n", - " <td>373 days 18:45:41</td>\n", - " <td>366 days 19:41:04</td>\n", - " <td>-5 days +13:12:50</td>\n", - " <td>0.986635</td>\n", - " <td>-27.002240</td>\n", - " <td>5.588886e+11</td>\n", + " <td>EASY</td>\n", + " <td>a60</td>\n", + " <td>0 days 00:00:20</td>\n", + " <td>373 days 18:45:41</td>\n", + " <td>366 days 19:41:04</td>\n", + " <td>-5 days +13:12:50</td>\n", + " <td>0.986635</td>\n", + " <td>-27.002240</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>0 days 01:39:08</td>\n", + " <td>4 days 03:32:02</td>\n", + " <td>1.233485e+03</td>\n", + " <td>3.160000e+07</td>\n", + " <td>0 days 04:07:01</td>\n", + " <td>5 days 19:48:11</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>FCFS</td>\n", + " <td>rigid</td>\n", + " <td>0 days 00:00:17</td>\n", + " <td>340 days 01:00:08</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0 days 00:00:00</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>4 days 12:17:32</td>\n", + " <td>11 days 18:52:21</td>\n", + " <td>1.007684e+07</td>\n", + " <td>7.119610e+10</td>\n", + " <td>4 days 14:45:24</td>\n", + " <td>13 days 20:32:01</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>FCFS</td>\n", + " <td>a0</td>\n", + " <td>0 days 00:00:20</td>\n", + " <td>464 days 20:58:24</td>\n", + " <td>457 days 18:00:43</td>\n", + " <td>32 days 15:43:53</td>\n", + " <td>1.098090</td>\n", + " <td>198.176161</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>0 days 06:55:49</td>\n", + " <td>4 days 22:45:45</td>\n", + " <td>3.502620e+05</td>\n", + " <td>7.638800e+09</td>\n", + " <td>0 days 09:23:41</td>\n", + " <td>6 days 02:55:32</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>FCFS</td>\n", + " <td>a60</td>\n", + " <td>0 days 00:00:17</td>\n", + " <td>461 days 09:24:58</td>\n", + " <td>454 days 06:27:17</td>\n", + " <td>26 days 07:20:41</td>\n", + " <td>1.079017</td>\n", + " <td>159.643255</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", - " <td>0 days 01:39:08</td>\n", - " <td>4 days 03:32:02</td>\n", - " <td>1.233485e+03</td>\n", - " <td>3.160000e+07</td>\n", - " <td>0 days 04:07:01</td>\n", - " <td>5 days 19:48:11</td>\n", + " <td>0 days 11:18:17</td>\n", + " <td>4 days 11:19:01</td>\n", + " <td>8.280872e+05</td>\n", + " <td>1.751790e+10</td>\n", + " <td>0 days 13:46:09</td>\n", + " <td>5 days 06:27:07</td>\n", " <td>100.0</td>\n", " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_speed*2</td>\n", + " <td>speed*2</td>\n", + " <td>rigid</td>\n", " <td>0 days 00:00:23</td>\n", " <td>339 days 20:33:42</td>\n", " <td>332 days 21:56:08</td>\n", " <td>0 days 00:00:00</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", - " <td>4.112956e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>0 days 00:11:51</td>\n", @@ -2060,34 +2490,14 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_speed/2</td>\n", - " <td>0 days 00:29:40</td>\n", - " <td>480 days 12:31:23</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0 days 00:00:00</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>8.858083e+11</td>\n", - " <td>28475</td>\n", - " <td>27482</td>\n", - " <td>29 days 22:18:48</td>\n", - " <td>143 days 04:20:36</td>\n", - " <td>2.972646e+07</td>\n", - " <td>5.154324e+11</td>\n", - " <td>30 days 03:14:32</td>\n", - " <td>144 days 06:31:43</td>\n", - " <td>100.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_speed*2</td>\n", + " <td>speed*2</td>\n", + " <td>a0</td>\n", " <td>0 days 00:00:22</td>\n", " <td>339 days 12:19:03</td>\n", " <td>332 days 13:41:18</td>\n", " <td>-13 days +12:53:03</td>\n", " <td>0.962563</td>\n", " <td>-75.635114</td>\n", - " <td>4.113100e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>0 days 00:09:03</td>\n", @@ -2100,14 +2510,54 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>a0_speed/2</td>\n", + " <td>speed*2</td>\n", + " <td>a60</td>\n", + " <td>0 days 00:00:17</td>\n", + " <td>339 days 13:14:13</td>\n", + " <td>332 days 14:36:28</td>\n", + " <td>-14 days +17:13:37</td>\n", + " <td>0.960103</td>\n", + " <td>-80.605709</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>0 days 00:10:19</td>\n", + " <td>1 days 10:25:33</td>\n", + " <td>2.305915e+01</td>\n", + " <td>5.127850e+04</td>\n", + " <td>0 days 01:24:15</td>\n", + " <td>1 days 22:16:12</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>speed/2</td>\n", + " <td>rigid</td>\n", + " <td>0 days 00:29:40</td>\n", + " <td>480 days 12:31:23</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0 days 00:00:00</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>27482</td>\n", + " <td>29 days 22:18:48</td>\n", + " <td>143 days 04:20:36</td>\n", + " <td>2.972646e+07</td>\n", + " <td>5.154324e+11</td>\n", + " <td>30 days 03:14:32</td>\n", + " <td>144 days 06:31:43</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>speed/2</td>\n", + " <td>a0</td>\n", " <td>0 days 00:00:35</td>\n", " <td>651 days 22:19:31</td>\n", " <td>644 days 17:01:21</td>\n", " <td>45 days 07:12:12</td>\n", " <td>1.136072</td>\n", " <td>274.912695</td>\n", - " <td>1.035150e+12</td>\n", " <td>28475</td>\n", " <td>27367</td>\n", " <td>0 days 10:52:38</td>\n", @@ -2120,14 +2570,34 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_infra*2</td>\n", + " <td>speed/2</td>\n", + " <td>a60</td>\n", + " <td>0 days 00:00:37</td>\n", + " <td>638 days 08:56:12</td>\n", + " <td>631 days 03:38:02</td>\n", + " <td>42 days 05:15:08</td>\n", + " <td>1.126816</td>\n", + " <td>256.213294</td>\n", + " <td>28475</td>\n", + " <td>27296</td>\n", + " <td>0 days 13:39:40</td>\n", + " <td>11 days 04:15:54</td>\n", + " <td>8.063818e+05</td>\n", + " <td>1.124980e+10</td>\n", + " <td>0 days 18:35:24</td>\n", + " <td>14 days 19:31:20</td>\n", + " <td>100.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra*2</td>\n", + " <td>rigid</td>\n", " <td>0 days 00:00:26</td>\n", " <td>339 days 20:33:46</td>\n", " <td>332 days 21:56:08</td>\n", " <td>0 days 00:00:00</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", - " <td>8.225913e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>0 days 00:03:44</td>\n", @@ -2140,34 +2610,14 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>rigid_infra/2</td>\n", - " <td>0 days 00:02:14</td>\n", - " <td>394 days 21:58:33</td>\n", - " <td>332 days 21:56:08</td>\n", - " <td>0 days 00:00:00</td>\n", - " <td>1.000000</td>\n", - " <td>0.000000</td>\n", - " <td>3.598345e+11</td>\n", - " <td>28475</td>\n", - " <td>27825</td>\n", - " <td>4 days 03:01:43</td>\n", - " <td>60 days 07:33:42</td>\n", - " <td>1.925122e+06</td>\n", - " <td>2.743200e+10</td>\n", - " <td>4 days 05:26:21</td>\n", - " <td>60 days 08:57:17</td>\n", - " <td>50.0</td>\n", - " </tr>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>a0_infra*2</td>\n", + " <td>infra*2</td>\n", + " <td>a0</td>\n", " <td>0 days 00:00:24</td>\n", " <td>339 days 13:39:41</td>\n", " <td>332 days 15:01:41</td>\n", " <td>-9 days +08:33:51</td>\n", " <td>0.974038</td>\n", " <td>-52.452719</td>\n", - " <td>8.227168e+11</td>\n", " <td>28475</td>\n", " <td>28475</td>\n", " <td>0 days 00:02:35</td>\n", @@ -2180,14 +2630,54 @@ " </tr>\n", " <tr>\n", " <th>0</th>\n", - " <td>a0_infra/2</td>\n", + " <td>infra*2</td>\n", + " <td>a60</td>\n", + " <td>0 days 00:00:19</td>\n", + " <td>339 days 14:07:53</td>\n", + " <td>332 days 15:26:41</td>\n", + " <td>-10 days +17:04:59</td>\n", + " <td>0.972100</td>\n", + " <td>-56.367288</td>\n", + " <td>28475</td>\n", + " <td>28475</td>\n", + " <td>0 days 00:03:36</td>\n", + " <td>0 days 17:09:11</td>\n", + " <td>8.474173e+00</td>\n", + " <td>1.760900e+04</td>\n", + " <td>0 days 02:31:28</td>\n", + " <td>2 days 14:58:28</td>\n", + " <td>200.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra/2</td>\n", + " <td>rigid</td>\n", + " <td>0 days 00:02:14</td>\n", + " <td>394 days 21:58:33</td>\n", + " <td>332 days 21:56:08</td>\n", + " <td>0 days 00:00:00</td>\n", + " <td>1.000000</td>\n", + " <td>0.000000</td>\n", + " <td>28475</td>\n", + " <td>27825</td>\n", + " <td>4 days 03:01:43</td>\n", + " <td>60 days 07:33:42</td>\n", + " <td>1.925122e+06</td>\n", + " <td>2.743200e+10</td>\n", + " <td>4 days 05:26:21</td>\n", + " <td>60 days 08:57:17</td>\n", + " <td>50.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra/2</td>\n", + " <td>a0</td>\n", " <td>0 days 00:00:26</td>\n", " <td>482 days 15:45:49</td>\n", " <td>475 days 14:09:49</td>\n", " <td>16 days 23:25:23</td>\n", " <td>1.050992</td>\n", " <td>103.021916</td>\n", - " <td>3.983607e+11</td>\n", " <td>28475</td>\n", " <td>27825</td>\n", " <td>0 days 06:29:25</td>\n", @@ -2198,90 +2688,114 @@ " <td>7 days 23:48:51</td>\n", " <td>50.0</td>\n", " </tr>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>infra/2</td>\n", + " <td>a60</td>\n", + " <td>0 days 00:00:23</td>\n", + " <td>480 days 13:02:23</td>\n", + " <td>473 days 10:04:42</td>\n", + " <td>14 days 20:57:51</td>\n", + " <td>1.044677</td>\n", + " <td>90.262806</td>\n", + " <td>28475</td>\n", + " <td>27825</td>\n", + " <td>0 days 08:34:29</td>\n", + " <td>7 days 12:27:43</td>\n", + " <td>6.633238e+05</td>\n", + " <td>1.007980e+10</td>\n", + " <td>0 days 10:59:07</td>\n", + " <td>7 days 12:28:11</td>\n", + " <td>50.0</td>\n", + " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ - " expe_name simulation_time makespan length \\\n", - "0 original_log 0 days 00:00:00 332 days 22:17:00 332 days 21:56:08 \n", - "0 rigid_FCFS 0 days 00:00:20 340 days 01:00:08 332 days 21:56:08 \n", - "0 rigid_EASY 0 days 00:00:25 339 days 20:33:46 332 days 21:56:08 \n", - "0 a0_FCFS 0 days 00:00:20 464 days 20:58:24 457 days 18:00:43 \n", - "0 a0_EASY 0 days 00:00:20 377 days 06:54:22 370 days 07:49:45 \n", - "0 a60_EASY 0 days 00:00:23 373 days 18:45:41 366 days 19:41:04 \n", - "0 rigid_speed*2 0 days 00:00:23 339 days 20:33:42 332 days 21:56:08 \n", - "0 rigid_speed/2 0 days 00:29:40 480 days 12:31:23 332 days 21:56:08 \n", - "0 a0_speed*2 0 days 00:00:22 339 days 12:19:03 332 days 13:41:18 \n", - "0 a0_speed/2 0 days 00:00:35 651 days 22:19:31 644 days 17:01:21 \n", - "0 rigid_infra*2 0 days 00:00:26 339 days 20:33:46 332 days 21:56:08 \n", - "0 rigid_infra/2 0 days 00:02:14 394 days 21:58:33 332 days 21:56:08 \n", - "0 a0_infra*2 0 days 00:00:24 339 days 13:39:41 332 days 15:01:41 \n", - "0 a0_infra/2 0 days 00:00:26 482 days 15:45:49 475 days 14:09:49 \n", - "\n", - " lateness stretch delta consumed_joules nb_jobs \\\n", - "0 0 days 00:00:00 NaN NaN NaN 28476 \n", - "0 0 days 00:00:00 1.000000 0.000000 5.291148e+11 28475 \n", - "0 0 days 00:00:00 1.000000 0.000000 5.289550e+11 28475 \n", - "0 32 days 15:43:53 1.098090 198.176161 6.375922e+11 28475 \n", - "0 -4 days +19:12:51 0.990390 -19.416288 5.619178e+11 28475 \n", - "0 -5 days +13:12:50 0.986635 -27.002240 5.588886e+11 28475 \n", - "0 0 days 00:00:00 1.000000 0.000000 4.112956e+11 28475 \n", - "0 0 days 00:00:00 1.000000 0.000000 8.858083e+11 28475 \n", - "0 -13 days +12:53:03 0.962563 -75.635114 4.113100e+11 28475 \n", - "0 45 days 07:12:12 1.136072 274.912695 1.035150e+12 28475 \n", - "0 0 days 00:00:00 1.000000 0.000000 8.225913e+11 28475 \n", - "0 0 days 00:00:00 1.000000 0.000000 3.598345e+11 28475 \n", - "0 -9 days +08:33:51 0.974038 -52.452719 8.227168e+11 28475 \n", - "0 16 days 23:25:23 1.050992 103.021916 3.983607e+11 28475 \n", + " expe replay simulation_time makespan length \\\n", + "0 original_log NaN 0 days 00:00:00 332 days 22:17:00 332 days 21:56:08 \n", + "0 EASY rigid 0 days 00:00:25 339 days 20:33:46 332 days 21:56:08 \n", + "0 EASY a0 0 days 00:00:20 377 days 06:54:22 370 days 07:49:45 \n", + "0 EASY a60 0 days 00:00:20 373 days 18:45:41 366 days 19:41:04 \n", + "0 FCFS rigid 0 days 00:00:17 340 days 01:00:08 332 days 21:56:08 \n", + "0 FCFS a0 0 days 00:00:20 464 days 20:58:24 457 days 18:00:43 \n", + "0 FCFS a60 0 days 00:00:17 461 days 09:24:58 454 days 06:27:17 \n", + "0 speed*2 rigid 0 days 00:00:23 339 days 20:33:42 332 days 21:56:08 \n", + "0 speed*2 a0 0 days 00:00:22 339 days 12:19:03 332 days 13:41:18 \n", + "0 speed*2 a60 0 days 00:00:17 339 days 13:14:13 332 days 14:36:28 \n", + "0 speed/2 rigid 0 days 00:29:40 480 days 12:31:23 332 days 21:56:08 \n", + "0 speed/2 a0 0 days 00:00:35 651 days 22:19:31 644 days 17:01:21 \n", + "0 speed/2 a60 0 days 00:00:37 638 days 08:56:12 631 days 03:38:02 \n", + "0 infra*2 rigid 0 days 00:00:26 339 days 20:33:46 332 days 21:56:08 \n", + "0 infra*2 a0 0 days 00:00:24 339 days 13:39:41 332 days 15:01:41 \n", + "0 infra*2 a60 0 days 00:00:19 339 days 14:07:53 332 days 15:26:41 \n", + "0 infra/2 rigid 0 days 00:02:14 394 days 21:58:33 332 days 21:56:08 \n", + "0 infra/2 a0 0 days 00:00:26 482 days 15:45:49 475 days 14:09:49 \n", + "0 infra/2 a60 0 days 00:00:23 480 days 13:02:23 473 days 10:04:42 \n", "\n", - " nb_jobs_success mean_waiting_time max_waiting_time mean_slowdown \\\n", - "0 20530 0 days 04:14:55 11 days 08:14:00 7.023298e+02 \n", - "0 28475 4 days 12:17:32 11 days 18:52:21 1.007684e+07 \n", - "0 28475 0 days 01:35:50 4 days 01:47:30 3.911159e+05 \n", - "0 28475 0 days 06:55:49 4 days 22:45:45 3.502620e+05 \n", - "0 28475 0 days 01:25:41 4 days 10:01:18 2.364843e+04 \n", - "0 28475 0 days 01:39:08 4 days 03:32:02 1.233485e+03 \n", - "0 28475 0 days 00:11:51 1 days 08:12:35 4.207044e+01 \n", - "0 27482 29 days 22:18:48 143 days 04:20:36 2.972646e+07 \n", - "0 28475 0 days 00:09:03 2 days 00:32:10 2.132525e+01 \n", - "0 27367 0 days 10:52:38 10 days 12:19:49 2.932436e+05 \n", - "0 28475 0 days 00:03:44 0 days 13:00:54 5.285530e+00 \n", - "0 27825 4 days 03:01:43 60 days 07:33:42 1.925122e+06 \n", - "0 28475 0 days 00:02:35 0 days 15:06:28 3.710672e+00 \n", - "0 27825 0 days 06:29:25 7 days 09:43:31 2.135482e+05 \n", + " lateness stretch delta nb_jobs nb_jobs_success \\\n", + "0 0 days 00:00:00 NaN NaN 28476 20530 \n", + "0 0 days 00:00:00 1.000000 0.000000 28475 28475 \n", + "0 -4 days +19:12:51 0.990390 -19.416288 28475 28475 \n", + "0 -5 days +13:12:50 0.986635 -27.002240 28475 28475 \n", + "0 0 days 00:00:00 1.000000 0.000000 28475 28475 \n", + "0 32 days 15:43:53 1.098090 198.176161 28475 28475 \n", + "0 26 days 07:20:41 1.079017 159.643255 28475 28475 \n", + "0 0 days 00:00:00 1.000000 0.000000 28475 28475 \n", + "0 -13 days +12:53:03 0.962563 -75.635114 28475 28475 \n", + "0 -14 days +17:13:37 0.960103 -80.605709 28475 28475 \n", + "0 0 days 00:00:00 1.000000 0.000000 28475 27482 \n", + "0 45 days 07:12:12 1.136072 274.912695 28475 27367 \n", + "0 42 days 05:15:08 1.126816 256.213294 28475 27296 \n", + "0 0 days 00:00:00 1.000000 0.000000 28475 28475 \n", + "0 -9 days +08:33:51 0.974038 -52.452719 28475 28475 \n", + "0 -10 days +17:04:59 0.972100 -56.367288 28475 28475 \n", + "0 0 days 00:00:00 1.000000 0.000000 28475 27825 \n", + "0 16 days 23:25:23 1.050992 103.021916 28475 27825 \n", + "0 14 days 20:57:51 1.044677 90.262806 28475 27825 \n", "\n", - " max_slowdown mean_turnaround_time max_turnaround_time \\\n", - "0 6.877210e+05 0 days 06:42:47 12 days 20:02:56 \n", - "0 7.119610e+10 4 days 14:45:24 13 days 20:32:01 \n", - "0 5.751400e+09 0 days 04:03:42 4 days 04:29:44 \n", - "0 7.638800e+09 0 days 09:23:41 6 days 02:55:32 \n", - "0 6.706000e+08 0 days 03:53:33 5 days 08:29:41 \n", - "0 3.160000e+07 0 days 04:07:01 5 days 19:48:11 \n", - "0 7.038100e+04 0 days 01:25:47 1 days 11:27:05 \n", - "0 5.154324e+11 30 days 03:14:32 144 days 06:31:43 \n", - "0 2.960900e+04 0 days 01:22:59 2 days 00:51:13 \n", - "0 5.157400e+09 0 days 15:48:22 11 days 22:47:44 \n", - "0 9.618333e+03 0 days 02:31:36 2 days 14:58:28 \n", - "0 2.743200e+10 4 days 05:26:21 60 days 08:57:17 \n", - "0 1.048200e+04 0 days 02:30:27 2 days 14:58:28 \n", - "0 4.072300e+09 0 days 08:54:04 7 days 23:48:51 \n", + " mean_waiting_time max_waiting_time mean_slowdown max_slowdown \\\n", + "0 0 days 04:14:55 11 days 08:14:00 7.023298e+02 6.877210e+05 \n", + "0 0 days 01:35:50 4 days 01:47:30 3.911159e+05 5.751400e+09 \n", + "0 0 days 01:25:41 4 days 10:01:18 2.364843e+04 6.706000e+08 \n", + "0 0 days 01:39:08 4 days 03:32:02 1.233485e+03 3.160000e+07 \n", + "0 4 days 12:17:32 11 days 18:52:21 1.007684e+07 7.119610e+10 \n", + "0 0 days 06:55:49 4 days 22:45:45 3.502620e+05 7.638800e+09 \n", + "0 0 days 11:18:17 4 days 11:19:01 8.280872e+05 1.751790e+10 \n", + "0 0 days 00:11:51 1 days 08:12:35 4.207044e+01 7.038100e+04 \n", + "0 0 days 00:09:03 2 days 00:32:10 2.132525e+01 2.960900e+04 \n", + "0 0 days 00:10:19 1 days 10:25:33 2.305915e+01 5.127850e+04 \n", + "0 29 days 22:18:48 143 days 04:20:36 2.972646e+07 5.154324e+11 \n", + "0 0 days 10:52:38 10 days 12:19:49 2.932436e+05 5.157400e+09 \n", + "0 0 days 13:39:40 11 days 04:15:54 8.063818e+05 1.124980e+10 \n", + "0 0 days 00:03:44 0 days 13:00:54 5.285530e+00 9.618333e+03 \n", + "0 0 days 00:02:35 0 days 15:06:28 3.710672e+00 1.048200e+04 \n", + "0 0 days 00:03:36 0 days 17:09:11 8.474173e+00 1.760900e+04 \n", + "0 4 days 03:01:43 60 days 07:33:42 1.925122e+06 2.743200e+10 \n", + "0 0 days 06:29:25 7 days 09:43:31 2.135482e+05 4.072300e+09 \n", + "0 0 days 08:34:29 7 days 12:27:43 6.633238e+05 1.007980e+10 \n", "\n", - " nb_computing_machines \n", - "0 NaN \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 100.0 \n", - "0 200.0 \n", - "0 50.0 \n", - "0 200.0 \n", - "0 50.0 " + " mean_turnaround_time max_turnaround_time nb_computing_machines \n", + "0 0 days 06:42:47 12 days 20:02:56 NaN \n", + "0 0 days 04:03:42 4 days 04:29:44 100.0 \n", + "0 0 days 03:53:33 5 days 08:29:41 100.0 \n", + "0 0 days 04:07:01 5 days 19:48:11 100.0 \n", + "0 4 days 14:45:24 13 days 20:32:01 100.0 \n", + "0 0 days 09:23:41 6 days 02:55:32 100.0 \n", + "0 0 days 13:46:09 5 days 06:27:07 100.0 \n", + "0 0 days 01:25:47 1 days 11:27:05 100.0 \n", + "0 0 days 01:22:59 2 days 00:51:13 100.0 \n", + "0 0 days 01:24:15 1 days 22:16:12 100.0 \n", + "0 30 days 03:14:32 144 days 06:31:43 100.0 \n", + "0 0 days 15:48:22 11 days 22:47:44 100.0 \n", + "0 0 days 18:35:24 14 days 19:31:20 100.0 \n", + "0 0 days 02:31:36 2 days 14:58:28 200.0 \n", + "0 0 days 02:30:27 2 days 14:58:28 200.0 \n", + "0 0 days 02:31:28 2 days 14:58:28 200.0 \n", + "0 4 days 05:26:21 60 days 08:57:17 50.0 \n", + "0 0 days 08:54:04 7 days 23:48:51 50.0 \n", + "0 0 days 10:59:07 7 days 12:28:11 50.0 " ] }, "metadata": {}, @@ -2289,21 +2803,26 @@ } ], "source": [ - "data = {\n", - " \"rigid_FCFS\": f\"{EXPE_DIR}/rigid_FCFS\",\n", - " \"rigid_EASY\": f\"{EXPE_DIR}/rigid_EASY\",\n", - " \"a0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"a0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"a60_EASY\": f\"{EXPE_DIR}/a60_EASY\",\n", - " \"rigid_speed*2\": f\"{EXPE_DIR}/rigid_EASY_double_speed\",\n", - " \"rigid_speed/2\": f\"{EXPE_DIR}/rigid_EASY_half_speed\",\n", - " \"a0_speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"a0_speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"rigid_infra*2\": f\"{EXPE_DIR}/rigid_EASY_double_infra\",\n", - " \"rigid_infra/2\": f\"{EXPE_DIR}/rigid_EASY_half_infra\",\n", - " \"a0_infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - " \"a0_infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\"\n", - "}\n", + "data = [\n", + " [\"EASY\", \"rigid\", f\"{EXPE_DIR}/rigid_EASY\"],\n", + " [\"EASY\", \"a0\", f\"{EXPE_DIR}/a0_EASY\"],\n", + " [\"EASY\", \"a60\", f\"{EXPE_DIR}/a60_EASY\"],\n", + " [\"FCFS\", \"rigid\", f\"{EXPE_DIR}/rigid_FCFS\"],\n", + " [\"FCFS\", \"a0\", f\"{EXPE_DIR}/a0_FCFS\"],\n", + " [\"FCFS\", \"a60\", f\"{EXPE_DIR}/a60_FCFS\"],\n", + " [\"speed*2\", \"rigid\", f\"{EXPE_DIR}/rigid_EASY_double_speed\"],\n", + " [\"speed*2\", \"a0\", f\"{EXPE_DIR}/a0_EASY_double_speed\"],\n", + " [\"speed*2\", \"a60\", f\"{EXPE_DIR}/a60_EASY_double_speed\"],\n", + " [\"speed/2\", \"rigid\", f\"{EXPE_DIR}/rigid_EASY_half_speed\"],\n", + " [\"speed/2\", \"a0\", f\"{EXPE_DIR}/a0_EASY_half_speed\"],\n", + " [\"speed/2\", \"a60\", f\"{EXPE_DIR}/a60_EASY_half_speed\"],\n", + " [\"infra*2\", \"rigid\", f\"{EXPE_DIR}/rigid_EASY_double_infra\"],\n", + " [\"infra*2\", \"a0\", f\"{EXPE_DIR}/a0_EASY_double_infra\"],\n", + " [\"infra*2\", \"a60\", f\"{EXPE_DIR}/a60_EASY_double_infra\"],\n", + " [\"infra/2\", \"rigid\", f\"{EXPE_DIR}/rigid_EASY_half_infra\"],\n", + " [\"infra/2\", \"a0\", f\"{EXPE_DIR}/a0_EASY_half_infra\"],\n", + " [\"infra/2\", \"a60\", f\"{EXPE_DIR}/a60_EASY_half_infra\"]\n", + "]\n", "\n", "dfs = []\n", "WL_swf = pd.read_csv(WL_swf_path, header=23, delim_whitespace=True, names=header)\n", @@ -2312,8 +2831,8 @@ "WL_swf[\"slowdown\"] = WL_swf.turnaround_time / WL_swf.RUN_TIME.replace(0, 1)\n", "\n", "original_metrics = pd.DataFrame.from_dict({\n", - " \"expe_name\": \"original_log\",\n", - " \"simulation_time\": 0,\n", + " \"expe\": \"original_log\",\n", + " \"simulation_time\":0,\n", " \"lateness\": 0,\n", " \"nb_jobs\": [WL_swf.shape[0]],\n", " \"nb_jobs_success\": WL_swf.STATUS.value_counts()[1],\n", @@ -2328,10 +2847,11 @@ "})\n", "dfs.append(original_metrics)\n", "\n", - "for expe, path in data.items():\n", + "for expe, method, path in data:\n", " expe_metrics = pd.read_csv(f\"{path}/_schedule.csv\") \n", " jobs = read_and_clean(f\"{path}/_jobs.csv\")\n", - " expe_metrics['expe_name'] = expe\n", + " expe_metrics['expe'] = expe\n", + " expe_metrics['replay'] = method\n", " expe_metrics['length'] = length(jobs)\n", " expe_metrics[\"lateness\"] = int(mean_lateness(jobs, ref=WL_rigid))\n", " expe_metrics['stretch'] = stretch(jobs, ref=WL_rigid)\n", @@ -2341,13 +2861,13 @@ "all = pd.concat(dfs)\n", "\n", "print(\"Simulation results:\")\n", - "display(all[[\"expe_name\", \"simulation_time\",\"makespan\",\"length\",\"lateness\",\"stretch\",\"delta\",\"consumed_joules\",\"nb_jobs\",\"nb_jobs_success\",\n", + "display(all[[\"expe\", \"replay\", \"simulation_time\",\"makespan\",\"length\",\"lateness\",\"stretch\",\"delta\",\"nb_jobs\",\"nb_jobs_success\",\n", " \"mean_waiting_time\",\"max_waiting_time\",\"mean_slowdown\",\"max_slowdown\",\"mean_turnaround_time\",\"max_turnaround_time\",\"nb_computing_machines\"]])\n", "\n", "print(\"Simulation results (with readable durations):\")\n", "all = all.astype({\"simulation_time\":'timedelta64[s]',\"makespan\":'timedelta64[s]',\"length\":'timedelta64[s]',\"lateness\":'timedelta64[s]',\n", " \"mean_waiting_time\":'timedelta64[s]',\"max_waiting_time\":'timedelta64[s]',\"mean_turnaround_time\":'timedelta64[s]',\"max_turnaround_time\":'timedelta64[s]'})\n", - "display(all[[\"expe_name\", \"simulation_time\",\"makespan\",\"length\",\"lateness\",\"stretch\",\"delta\",\"consumed_joules\",\"nb_jobs\",\"nb_jobs_success\",\n", + "display(all[[\"expe\", \"replay\", \"simulation_time\",\"makespan\",\"length\",\"lateness\",\"stretch\",\"delta\",\"nb_jobs\",\"nb_jobs_success\",\n", " \"mean_waiting_time\",\"max_waiting_time\",\"mean_slowdown\",\"max_slowdown\",\"mean_turnaround_time\",\"max_turnaround_time\",\"nb_computing_machines\"]])" ] }, @@ -3588,19 +4108,161 @@ "</div>" ], "text/plain": [ - " 4m 5m 6m 7m 8m\n", - "speed*2 (rigid) 35.868651 36.021682 35.916644 35.903046 35.867069\n", - "infra*2 (rigid) 36.414774 36.297137 36.248243 36.146493 36.147661\n", - "infra*2 (fb) 45.586585 42.370848 41.287575 40.514534 40.016213\n", - "speed*2 (fb) 46.361859 44.338688 42.435090 41.709789 40.536177\n", - "FCFS (fb) 60.116361 60.339305 62.227581 62.013051 62.601251\n", - "FCFS (rigid) 65.976655 66.375463 67.519651 68.693917 70.195604\n", - "EASY (rigid) 70.017454 70.357278 70.361521 70.315827 70.281021\n", - "EASY (fb) 75.651429 77.841024 75.066832 74.176669 74.723369\n", - "infra/2 (fb) 85.926112 86.718128 86.869955 87.138485 87.493000\n", - "speed/2 (fb) 89.065374 88.628941 89.800876 90.152986 90.585759\n", - "infra/2 (rigid) 90.544853 91.089422 91.304335 91.516202 91.677485\n", - "speed/2 (rigid) 93.597870 92.545941 93.090542 94.410882 94.483753" + " 4m 5m 6m 7m 8m\n", + "speed*2 (rigid) 35.868651 36.021682 35.916644 35.903046 35.867069\n", + "infra*2 (rigid) 36.414774 36.297137 36.248243 36.146493 36.147661\n", + "infra*2 (fb) 45.586585 42.370848 41.287575 40.514534 40.016213\n", + "speed*2 (fb) 46.361859 44.338688 42.435090 41.709789 40.536177\n", + "FCFS (fb) 60.116361 60.339305 62.227581 62.013051 62.601251\n", + "FCFS (rigid) 65.976655 66.375463 67.519651 68.693917 70.195604\n", + "EASY (rigid) 70.017454 70.357278 70.361521 70.315827 70.281021\n", + "EASY (fb) 75.651429 77.841024 75.066832 74.176669 74.723369\n", + "infra/2 (fb) 85.926112 86.718128 86.869955 87.138485 87.493000\n", + "speed/2 (fb) 89.065374 88.628941 89.800876 90.152986 90.585759\n", + "infra/2 (rigid) 90.544853 91.089422 91.304335 91.516202 91.677485\n", + "speed/2 (rigid) 93.597870 92.545941 93.090542 94.410882 94.483753" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = {\n", + " \"speed*2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_double_speed\",\n", + " \"infra*2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_double_infra\",\n", + " \"infra*2 (fb)\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", + " \"speed*2 (fb)\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", + " \"FCFS (fb)\": f\"{EXPE_DIR}/a0_FCFS\",\n", + " \"FCFS (rigid)\": f\"{EXPE_DIR}/rigid_FCFS\",\n", + " \"EASY (rigid)\": f\"{EXPE_DIR}/rigid_EASY\",\n", + " \"EASY (fb)\": f\"{EXPE_DIR}/a0_EASY\",\n", + " \"infra/2 (fb)\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", + " \"speed/2 (fb)\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", + " \"infra/2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_half_infra\",\n", + " \"speed/2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_half_speed\",\n", + "}\n", + "\n", + "throughput, mean_util = {}, {}\n", + "\n", + "for name, path in data.items():\n", + " js = JobSet.from_csv(f\"{path}/_jobs.csv\")\n", + "\n", + " f_times = ajust_timestamp_column(js.df.finish_time)\n", + " throughput[name], mean_util[name] = [], []\n", + "\n", + " for end in end_metrics:\n", + " thru = f_times[(f_times >= start_metrics) & (f_times < end)].count()\n", + " throughput[name].append(thru / nb_days_between(start_metrics, end) )\n", + "\n", + " m_state = pd.read_csv(f\"{path}/_machine_states.csv\")\n", + " mean_util[name].append(mean_util_between(m_state, start_metrics, end))\n", + "\n", + "# Tables\n", + "throughput = pd.DataFrame.from_dict(throughput, orient=\"index\", columns=[\"4m\", \"5m\", \"6m\", \"7m\", \"8m\"])\n", + "mean_util = pd.DataFrame.from_dict(mean_util, orient=\"index\", columns=[\"4m\", \"5m\", \"6m\", \"7m\", \"8m\"])\n", + "print(\"Windowed throughput:\")\n", + "display(throughput)\n", + "print(\"Windowed mean utilization:\")\n", + "display(mean_util)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 600x400 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot\n", + "fig, ax = plt.subplots(ncols=2, layout=\"constrained\", sharey=True, figsize=(6, 4))\n", + "col1, col2 = [plt.cm.summer(i/5) for i in range(5)], [plt.cm.autumn(i/5) for i in range(5)]\n", + "throughput.plot(kind=\"barh\", title=\"average #jobs finished per day\", color=col1, ax=ax[0])\n", + "mean_util.plot(kind=\"barh\", title=\"mean utilization (in %)\", color=col2, ax=ax[1])\n", + "ax[0].grid(); ax[1].grid()\n", + "ax[0].legend(loc='lower left')\n", + "\n", + "fig.savefig(f\"{fig_path}/windowed_throughput_KTH.pdf\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## New metrics\n", + "### Evolution of mean lateness and delta" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 2000x1200 with 4 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data[0] = {\n", + " \"a0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", + " \"a0_EASY_half_speed\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", + " \"a0_EASY_half_infra\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", + "}\n", + "data[1] = {\n", + " \"a0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", + " \"a60_EASY\": f\"{EXPE_DIR}/a60_EASY\",\n", + " \"a0_EASY_double_speed\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", + " \"a0_EASY_double_infra\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", + "}\n", + "\n", + "fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(20,12), sharex=True, layout=\"constrained\")\n", + "for pos in [0,1]:\n", + " for name, path in data[pos].items():\n", + " jobs = read_and_clean(f\"{path}/_jobs.csv\")\n", + " N = jobs.shape[0]\n", + " lateness = (jobs.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]').reset_index(drop=True)\n", + " mean_lateness = lateness.cumsum() / lateness.index\n", + " mean_lateness.plot(kind='line', ax=ax[0][pos], label=name, title=\"Mean lateness\")\n", + "\n", + " delta = 2 * lateness.cumsum() / (lateness.index * (lateness.index - 1))\n", + " delta.plot(kind='line', ax=ax[1][pos], title=\"Delta\")\n", + "\n", + " ax[0][pos].legend()\n", + " ax[0][pos].set(xlabel=\"jobs (sorted by original submission time)\", xlim=(0, WL_rigid.shape[0]),ylabel=\"cumulated lateness (s)\")\n", + " ax[1][pos].set(xlabel=\"jobs (sorted by original submission time)\", xlim=(0, WL_rigid.shape[0]),ylabel=\"delta (s)\")\n", + " ax[0][pos].yaxis.set_label_position(\"right\"); ax[0][pos].yaxis.tick_right()\n", + " ax[1][pos].yaxis.set_label_position(\"right\"); ax[1][pos].yaxis.tick_right()\n", + " ax[1][pos].grid(axis='y')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 600x600 with 2 Axes>" ] }, "metadata": {}, @@ -3608,55 +4270,223 @@ } ], "source": [ + "# For paper\n", "data = {\n", - " \"speed*2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_double_speed\",\n", - " \"infra*2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_double_infra\",\n", - " \"infra*2 (fb)\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - " \"speed*2 (fb)\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"FCFS (fb)\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"FCFS (rigid)\": f\"{EXPE_DIR}/rigid_FCFS\",\n", - " \"EASY (rigid)\": f\"{EXPE_DIR}/rigid_EASY\",\n", - " \"EASY (fb)\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"infra/2 (fb)\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", - " \"speed/2 (fb)\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"infra/2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_half_infra\",\n", - " \"speed/2 (rigid)\": f\"{EXPE_DIR}/rigid_EASY_half_speed\",\n", + " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", + " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", + " \"A0_speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", + " \"A0_speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", + " \"A0_infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", + " \"A0_infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", + " \"A60_EASY\": f\"{EXPE_DIR}/a60_EASY\",\n", "}\n", "\n", - "throughput, mean_util = {}, {}\n", + "fig, ax = plt.subplots(ncols=2, figsize=(6,6), layout='tight', sharex=True)\n", "\n", + "# Metrics obtained by cuting the OUTPUT\n", "for name, path in data.items():\n", - " js = JobSet.from_csv(f\"{path}/_jobs.csv\")\n", + " jobs = read_and_clean(f\"{path}/_jobs.csv\")\n", + " N = jobs.shape[0]\n", + " lateness = (jobs.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]').reset_index(drop=True)\n", + " m_lateness = lateness.cumsum() / lateness.index\n", + " m_lateness.plot(kind='line', ax=ax[0], label=name, title=\"mean lateness (days)\")\n", "\n", - " f_times = ajust_timestamp_column(js.df.finish_time)\n", - " throughput[name], mean_util[name] = [], []\n", + " delta = 2 * lateness.cumsum() / (lateness.index * (lateness.index - 1))\n", + " delta.plot(kind='line', ax=ax[1], title=\"Delta (s)\", label=name)\n", "\n", - " for end in end_metrics:\n", - " thru = f_times[(f_times >= start_metrics) & (f_times < end)].count()\n", - " throughput[name].append(thru / nb_days_between(start_metrics, end) )\n", + "# Metrics obtained by cuting the INPUT\n", + "met_fcfs, met_easy, met_half, met_double = [], [], [], []\n", + "for k in range(10, 100, 10):\n", + " met_fcfs.append( metrics(f\"{EXPE_DIR}/a0_FCFS_cut{k}\") )\n", + " met_easy.append( metrics(f\"{EXPE_DIR}/a0_EASY_cut{k}\") )\n", + " met_half.append( metrics(f\"{EXPE_DIR}/a0_EASY_cut{k}_half_speed\") )\n", + " met_double.append( metrics(f\"{EXPE_DIR}/a0_EASY_cut{k}_double_speed\") )\n", + "met_fcfs.append(metrics(f\"{EXPE_DIR}/a0_FCFS\"))\n", + "met_easy.append(metrics(f\"{EXPE_DIR}/a0_EASY\"))\n", + "met_half.append(metrics(f\"{EXPE_DIR}/a0_EASY_half_speed\"))\n", + "met_double.append(metrics(f\"{EXPE_DIR}/a0_EASY_double_speed\"))\n", "\n", - " m_state = pd.read_csv(f\"{path}/_machine_states.csv\")\n", - " mean_util[name].append(mean_util_between(m_state, start_metrics, end))\n", + "dfs = {\"easy\": pd.DataFrame(met_easy), \"fcfs\": pd.DataFrame(met_fcfs), \"speed*2\": pd.DataFrame(met_double), \"speed/2\": pd.DataFrame(met_half)}\n", + "ax[0].set_prop_cycle(None); ax[1].set_prop_cycle(None) # reset colors\n", + "for name, to_plot in dfs.items():\n", + " to_plot.plot(kind='line', x='nb_jobs', y='mean_lateness', xlabel=\"\", style='.--', label=name, ax=ax[0])\n", + " to_plot.plot(kind='line', x='nb_jobs', y='delta', title='delta (s)', xlabel=\"\", style='.--', label=\"\", ax=ax[1])\n", "\n", - "# Tables\n", - "throughput = pd.DataFrame.from_dict(throughput, orient=\"index\", columns=[\"4m\", \"5m\", \"6m\", \"7m\", \"8m\"])\n", - "mean_util = pd.DataFrame.from_dict(mean_util, orient=\"index\", columns=[\"4m\", \"5m\", \"6m\", \"7m\", \"8m\"])\n", - "print(\"Windowed throughput:\")\n", - "display(throughput)\n", - "print(\"Windowed mean utilization:\")\n", - "display(mean_util)" + "fig.supxlabel(\"jobs (sorted by original submission time)\")\n", + "ax[0].set_xlim(0, WL_rigid.shape[0])\n", + "y_l, y_r = ax[0].get_ylim(); y_l, y_r = int(y_l / (3600*24)), int(y_r / (3600*24))\n", + "ax[0].set_yticks(np.arange(y_l * 3600*24, y_r * 3600*24, step=5*3600*24), labels=np.arange(y_l, y_r, step=5)) \n", + "ax[0].grid(); ax[1].grid()\n", + "ax[1].legend()\n", + "\n", + "fig.savefig(f\"{fig_path}/lateness_delta_evolution_KTH.pdf\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Observation :\n", + "- les delta semblent se stabiliser... mais pas tous !" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Lateness / delta per user" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 1600x500 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 1600x500 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = {\n", + " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", + " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", + " \"speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", + " \"infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", + " \"speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", + " \"infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", + "}\n", + "rigid = WL_rigid[[\"workload_name\",\"submission_time\"]]\n", + "\n", + "cmap, N= plt.cm.Accent, len(data)\n", + "colors = [cmap(k / float(N)) for k in range(N)]\n", + "markers = [\".\" , \"1\" , \"o\" , \"x\" , \"+\" , \"3\", \">\"]\n", + "\n", + "def plot_lateness_spread(logscale=True):\n", + " mean_lateness = {}\n", + " fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True)\n", + " col, marks = iter(colors), iter(markers)\n", + " for name, path in data.items():\n", + " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", + " df[\"lateness\"] = (df.submission_time - rigid.submission_time).astype(dtype='timedelta64[s]')\n", + " grp = df.groupby(df.workload_name)[\"lateness\"].agg([\"last\", \"mean\", \"count\"])\n", + " mean_lateness[name] = grp[\"mean\"]\n", + " \n", + " grp.plot(kind='scatter', x=\"count\", y=\"mean\", ax=ax[0], marker=next(marks), color=next(col), label=name,\n", + " xlabel=\"#jobs submitted by the user\", ylabel=\"average lateness (s)\")\n", + " \n", + " bplot = pd.concat(mean_lateness, axis=1).plot(kind=\"box\", ax=ax[1], return_type='dict', patch_artist=True)\n", + " # Color the boxes : \n", + " for i, patch in enumerate(bplot['boxes']):\n", + " patch.set_facecolor(colors[i]) \n", + "\n", + " ax[0].grid()\n", + " ax[1].grid(axis=\"y\")\n", + " if logscale:\n", + " ax[0].set_yscale('symlog')\n", + " ax[0].set_xscale('log')\n", + "\n", + "plot_lateness_spread(logscale=False)\n", + "plot_lateness_spread(logscale=True)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Analysis:\n", + "- the average lateness per user doesn't seem to depend only on the #jobs submitted by this user" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 1600x500 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data = {\n", + " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", + " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", + " \"speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", + " \"infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", + " \"speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", + " \"infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", + "}\n", + "rigid = WL_rigid[[\"workload_name\",\"submission_time\"]]\n", + "\n", + "cmap, N= plt.cm.Accent, len(data)\n", + "cols = iter([cmap(k / float(N)) for k in range(N)])\n", + "marks = iter([\".\" , \"1\" , \"o\" , \"x\" , \"+\" , \"3\", \">\"])\n", + "\n", + "fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True)\n", + "\n", + "DAG_l_paths = DAG_analysis[\"longest_paths\"][\"a0\"]\n", + "max_succs = DAG_analysis[\"succs\"][\"a0\"]\n", + "\n", + "for name, path in data.items():\n", + " col, mark = next(cols), next(marks)\n", + " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", + " df[\"lateness\"] = (df.submission_time - rigid.submission_time).astype(dtype='timedelta64[s]')\n", + " grp = df.groupby(df.workload_name)[\"lateness\"].mean()\n", + " path_lateness = pd.concat([grp, DAG_l_paths], keys=[\"mean_lateness\",\"DAG_l_path\"], axis=1)\n", + " path_lateness.plot(kind='scatter', x=\"DAG_l_path\", y=\"mean_lateness\", ax=ax[0], marker=mark, color=col, label=name,\n", + " xlabel=\"longest path in user DAG\", ylabel=\"average lateness (s)\")\n", + " \n", + " arity_lateness = pd.concat([grp, max_succs], keys=[\"mean_lateness\",\"max_succs\"], axis=1)\n", + " arity_lateness.plot(kind='scatter', x=\"max_succs\", y=\"mean_lateness\", ax=ax[1], marker=mark, color=col, label=name,\n", + " xlabel=\"max #succs in user DAG\", ylabel=\"average lateness (s)\")\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Analysis: \n", + "- no clear tendancy visible for neither of the two variables..\n", + "- the left graph looks a lot like the graph on average lateness in f(#jobs). " ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 73, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "<Figure size 600x400 with 2 Axes>" + "<Figure size 1600x500 with 2 Axes>" ] }, "metadata": {}, @@ -3664,15 +4494,28 @@ } ], "source": [ - "# Plot\n", - "fig, ax = plt.subplots(ncols=2, layout=\"constrained\", sharey=True, figsize=(6, 4))\n", - "col1, col2 = [plt.cm.summer(i/5) for i in range(5)], [plt.cm.autumn(i/5) for i in range(5)]\n", - "throughput.plot(kind=\"barh\", title=\"average #jobs finished per day\", color=col1, ax=ax[0])\n", - "mean_util.plot(kind=\"barh\", title=\"mean utilization (in %)\", color=col2, ax=ax[1])\n", - "ax[0].grid(); ax[1].grid()\n", - "ax[0].legend(loc='lower left')\n", + "fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True, sharex=True)\n", + "cmap, N, i = plt.cm.Accent, len(data), 0\n", + "for name, path in data.items():\n", + " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", + " df[\"lateness\"] = (df.submission_time - rigid.submission_time).astype(dtype='timedelta64[s]')\n", + " grp = df.groupby(df.workload_name)[\"lateness\"].agg([\"last\", \"mean\", \"median\"])\n", + " \n", + " grp.plot(kind='scatter', x=\"last\", y=\"mean\", ax=ax[0], marker='.', color=cmap(i / float(N)), label=name,\n", + " xlabel=\"lateness of last job\", ylabel=\"average lateness (s)\")\n", + " grp.plot(kind='scatter', x=\"median\", y=\"mean\", ax=ax[1], marker='.', color=cmap(i / float(N)), label=name,\n", + " xlabel=\"median lateness per user\", ylabel=\"average lateness (s)\")\n", + " i += 1\n", "\n", - "fig.savefig(f\"{fig_path}/windowed_throughput_KTH.pdf\")" + "x_l, x_r = ax[0].get_xlim()\n", + "x = np.linspace(x_l, x_r, 100)\n", + "\n", + "for i in {0,1}:\n", + " ax[i].plot(x, x, '--r', alpha=.3, label='y=x')\n", + " ax[i].plot(x, x/2, '--g', alpha=.3, label='y=x/2')\n", + " ax[i].set_ylim(-.6e7, 1.6e7)\n", + " ax[i].set_xlim(-1e7, 2.7e7)\n", + " ax[i].legend(); ax[i].grid()" ] }, { @@ -3680,69 +4523,32 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## New metrics\n", - "### Evolution of mean lateness and delta" + "Analysis :\n", + "- average lateness per user and lateness of last job per user are proporitional\n", + "- same between average lateness and lateness of median job\n", + "- **corresponds pretty well with the delta hypothesis**" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 74, "metadata": {}, "outputs": [ { "data": { - "image/png": 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Rkbyk/nnu3FOy3dnZGch82S4uLnkakIiIiIiIiDw54uLi8PPzM/UzJXfUPxcREREREZG8oP75vbmnZPuNpelcXFzUmRcREREREZH7piXQ74365yIiIiIiIpKX1D/PHS24LyIiIiIiIiIiIiIiIiIikktKtouIiIiIiIiIiIiIiIiIiOSSku0iIiIiIiIiIiIiIiIiIiK5dE97tueE0WgkLS2N9PT0B3ULkYeOtbU1lpaWBR2GiIiIiIiIiIiIiMhjQzknkftnaWmJlZWV9mTPYw8k2Z6SksKFCxdISEh4EJcXeWgZDAaKFSuGk5NTQYciIiIiIiIiIiIiIvLIU85JJO84ODjg4+ODjY1NQYfy2MjzZHtGRgZhYWFYWlri6+uLjY2NRkjIE8FoNBIVFcW5c+coU6aMZriLiIiIiIiIiIiIiNwH5ZxE8obRaCQlJYWoqCjCwsIoU6YMFhbabTwv5HmyPSUlhYyMDPz8/HBwcMjry4s81AoXLszp06dJTU1Vsl1ERERERERERERE5D4o5ySSd+zt7bG2tubMmTOkpKRgZ2dX0CE9Fh7YkAWNhpAnkUbUiYiIiIjkr7Fjx2IwGOjbt+8d223YsIFq1aphZ2dHyZIlmTJlSv4EKCIiIiIi9005J5G8ob9LeU9vVERERERERB5Ju3btYtq0aVSuXPmO7cLCwmjWrBl169Zl3759DBkyhD59+rB48eJ8ilREREREREREHkdKtouIiIiIiMgj5/r163Tu3Jnp06fj7u5+x7ZTpkyhePHiTJw4kfLly/PGG2/w2muvMX78+HyKVkREREREREQeR0q2i4iIiIiISIGLi4sz+yQnJ9+x/TvvvEPz5s0JCQm567W3bdvG888/b1b2wgsvsHv3blJTU+8rbhERERERERF5cinZnktXr16la9euuLq64urqSteuXYmJicnRuadPn8ZgMGT5dOnSxazd4sWLadCgAa6urjg5OVG5cmU+/vhjrly5AsDs2bOzvc6MGTMAiIyM5M0336R48eLY2tri7e3NCy+8wLZt2/L0XYiIiIiIiOQVPz8/Uz/L1dWVsWPH3rbtwoUL2bt37x3b3OrixYsUKVLErKxIkSKkpaVx+fLl+4pbRERERETkXjyIfJPBYGD79u1mbRMTE3F3d8fDw4PExMQs19q3bx8tWrTAy8sLOzs7/P396dChA5cvX2bDhg1YW1uzefNms3Pi4+MpWbIk/fr1u+fnF3lcWBV0AI+aTp06ce7cOVatWgVAr1696Nq1K8uXL8/xNf744w8qVqxoOra3tzf9/NFHH/H555/Tr18/xowZg6+vL//88w9Tpkxh3rx5vP/++wC4uLhw7Ngxs+u6uroC0LZtW1JTU5kzZw4lS5bk0qVL/Pnnn6ZkvYiIiIiIyMPm7NmzuLi4mI5tbW1v2+79999nzZo12NnZ5fj6BoPB7NhoNGZbLiIiIiIikh8eRL4JwNPT0+x48eLFBAUFYTQa+eWXX+jcubOpLjIykpCQEFq2bMnq1atxc3MjLCyMZcuWkZCQQP369Xnvvffo0aMHBw4cwNHREYCBAwdia2ub4wHQIo+zfEm2G41GElPT8+NWWdhbW+bqy5NVq1YxevRoDh06hKWlJcHBwUyaNIlSpUpx9OhRVq1axfbt26lVqxYA06dPJzg4mGPHjlG2bNkc3cPT0xNvb+8s5Tt37mTMmDFMnDjRlFQH8Pf357nnnjMb0WQwGLK9RkxMDJs3b2b9+vXUr18fgBIlSlCzZs0cvwMREREREZH85uLiYpZsv509e/YQGRlJtWrVTGXp6els3LiRyZMnk5ycjKWlpdk53t7eXLx40awsMjISKyurLF9EiYiIiIjIw62gck6PUr7pVqGhoXTp0gWj0UhoaKhZsn3r1q3ExcUxY8YMrKwyU4YBAQE0atTI1GbMmDGsWrWKQYMGMXnyZNatW8f06dPZunVrrgZAizyu8iXZnpiaToXhq/PjVlkc+fgFHGxy/pjx8fH079+fSpUqER8fz/Dhw2nTpg379+9n27ZtuLq6mv7hA6hduzaurq5s3bo1x//43c78+fNxcnLi7bffzrbezc3trtdwcnLCycmJpUuXUrt27dvOBhEREREREXkUNW7cmIMHD5qVvfrqq5QrV45BgwZlSbQDBAcHZ5kdsmbNGqpXr461tfUDjVdERERERPJWQeWcHqV80w0nT55k27Zt/PLLLxiNRvr27cupU6coWbIkkDkwOS0tjSVLltCuXbtsBxPY2dkxd+5c6tSpQ0hICP369WPIkCFUr149T2IUedRpGfl/adu2rdlxaGgoXl5eHDlyhIsXL+Ll5ZXlHC8vryyzJO6kTp06WFhYmI43bdpE1apV+eeffyhZsmSOvuyJjY3FycnJdOzk5MTFixexsrJi9uzZ9OzZkylTpvD0009Tv359OnbsSOXKlXMco4iIiIiIyMPI2dmZoKAgszJHR0c8PT1N5R9++CERERHMnTsXgN69ezN58mT69+9Pz5492bZtG6GhoSxYsCDf4xcRERERkSdDQeSbIDN/dGMQ8syZM2natCnu7u4ANGnShJkzZzJ69GggM8E/ZMgQOnXqRO/evalZsyaNGjWiW7duFClSxHTN6tWr8+GHH9K2bVuqVq3K0KFDcxyjyOMuX5Lt9taWHPn4hfy4Vbb3zo2TJ08ybNgwtm/fzuXLl8nIyAAgPDwcyH4/P6PRmKulQxYtWkT58uVNx35+frm+jrOzM3v37jUd3/qPadu2bWnevDmbNm1i27ZtrFq1ii+++IIZM2bQo0ePHMcpIiIiIiLyKLpw4YKpDweZyyCuXLmSfv368e233+Lr68vXX3+d5csvERERERF5+BVUzulRyDcBpkR7eno6c+bMYdKkSaa6Ll260K9fP0aNGmVq9+mnn9K/f3/Wrl3L9u3bmTJlCmPGjGHjxo1UqlTJdO7QoUP5+OOPGTx4sGnJeRHJp2S7wWDI1dIaBally5b4+fkxffp0fH19ycjIICgoiJSUFLy9vbl06VKWc6KiosxG+NyNn58fpUuXzlIeGBjI5s2bSU1NvevsdgsLi2yvcYOdnR3PPfcczz33HMOHD+eNN95gxIgRSraLiIiIiMhjZ/369WbHs2fPztKmfv36ZgOWRURERETk0fSo5JwKMt8EsHr1aiIiIujQoYNZeXp6OmvWrKFp06amMk9PT9q3b0/79u0ZO3YsVatWZfz48cyZM8fU5kbeSol2EXMWd2/y5IiOjubo0aMMHTqUxo0bU758ea5evWqqDw4OJjY2lp07d5rKduzYQWxsLHXq1Lnv+3fq1Inr16/z3XffZVsfExNzz9euUKEC8fHx93y+iIiIiIiIiIiIiIiI3F1B55sgc9n6jh07sn//frNP586dCQ0Nve15NjY2lCpVSjklybHvvvuOgIAA7OzsqFatGps2bbpj+w0bNlCtWjXs7OwoWbIkU6ZMyadIHwwNP7mFu7s7np6eTJs2DR8fH8LDwxk8eLCpvnz58jRp0oSePXsydepUAHr16kWLFi0oW7bsfd+/Vq1aDBw4kAEDBhAREUGbNm3w9fXlxIkTTJkyhWeffZb333//jteIjo6mffv2vPbaa1SuXBlnZ2d2797NF198QatWre47RhEREREREREREREREbm9/Mo3RUdHZ9nj3c3NjWvXrrF8+XKWLVtGUFCQWX337t1p3rw5UVFR7Nixg4ULF9KxY0cCAwMxGo0sX76clStXMmvWrPt4A/KkWLRoEX379uW7777jmWeeYerUqTRt2pQjR45QvHjxLO3DwsJo1qwZPXv25IcffmDLli28/fbbFC5c+JHd6k3J9ltYWFiwcOFC+vTpQ1BQEGXLluXrr7+mQYMGpjbz58+nT58+PP/88wC8+OKLTJ48Oc9i+Pzzz6lWrRrffvstU6ZMISMjg1KlStGuXTu6d+9+1/OdnJyoVasWX331FSdPniQ1NRU/Pz969uzJkCFD8ixOERERERGR+5J4FQ4sgsjwu7eVu/qlZ0OcPJ2oFtKIgNZDwSJ3+0mKiIiIiEjeya98U0hISJayBQsWEBERgaOjI40bN85S37BhQ5ydnZk3bx6tW7fGwcGBAQMGcPbsWWxtbSlTpgwzZsyga9euuXtoeWzExcWZHdva2mJra5tt2y+//JLXX3+dN954A4CJEyeyevVqvv/+e8aOHZul/ZQpUyhevDgTJ04EMgee7N69m/Hjxz+yyXaD0Wg05vakuLg4XF1diY2NxcXFxawuKSmJsLAw03IBIk8S/f6LiIiIiOTAxYOwsDPEnCEu2YjrZ9ey7V/K3d3on+8sXQYnS0uSreBKM08afbQQXIsVdHgiIiIiIvdF37mL5K07/Z260b/8txEjRjBy5Mgs5SkpKTg4OPDTTz/Rpk0bU/n777/P/v372bBhQ5Zz6tWrR9WqVZk0aZKpbMmSJbz88sskJCRgbW19H09XMDSzXURERERERPLPntmw/H/bY1nZQakmwNyCjOixcLCqM5WOJ+CUBD7LojmeXJ3SlSphUbENVOsBNg4FHaKIiIiIiIg8As6ePWs2GP52s9ovX75Meno6RYoUMSsvUqRIlu0Nbrh48WK27dPS0rh8+TI+Pj73GX3+syjoAB4nvXv3xsnJKdtP7969Czo8ERERERGRgpF8HfbOheV9Mz8AfrXhvT3Q6puCjOyx0W7GOspv3kW4V+aY+vTV7uyeFs6F0I9J/yyALxatYeSyw6w6dJHfj1wq4GhFREREROROlG+SguTi4mL2uV2y/QaDwWB2bDQas5TdrX125Y8KzWzPQx9//DEffPBBtnVaDlFERERERJ5IiVdhdku4dPBmmV9t6LQI7N3gX3vByb1zcnKi0LjvOdu/N37R6TjHWRCz2Z0YoCWZqwmkW1sQ5eFGx3aj+aDlUySkpFPKywlPRxuWr99K5OH11G/7NoVcHLG2NOBqb42VZeY4/avxKRy7dI2ni7tjY6Wx+yIiIiIiD4ryTfIoKFSoEJaWlllmsUdGRmaZvX6Dt7d3tu2trKzw9PR8YLE+SEq25yEvLy+8vLwKOgwREREREZGCYzRmJti3fw/HfoPLxyE9ObOualco1wICX4BHdMT6w65arWfJ2PwXWw9tYO+4QTy385pZvWVqBt6XrjB6fk9s96Rz0cKDPwv7E2h3kZfSDmOwMHJy+gKCUz7H+L/F8BxsLElISTe7zis1izOmTdAjO/NARERERORhpnyTPApsbGyoVq0av//+u9me7b///jutWrXK9pzg4GCWL19uVrZmzRqqV6/+SO7XDkq2i4iIiIiIyP0I2wR/LQIbR4jYCxf2Q3qKeRtLG3htFRStViAhPmksDBY8W6khNWdtZsrOr9m+fgHu8Sk8vzWNwPOZbVJjrEndbo0TCdTgCLauqRyP9cFglUGRp66ystSH/JjegF0ZZTmV4gvYmd1jwc5wluw7x/Ru1anh74GdtWX+P6iIiIiIiIgUqP79+9O1a1eqV69OcHAw06ZNIzw83LTdwYcffkhERARz584FMrdImDx5Mv3796dnz55s27aN0NBQFixYUJCPcV+UbBcREREREZHcSUuBk2thzyw4vir7Ns4+ULw2xJyFkJFKtBcAG0sb+gR/QJ/gzOUnN57byCcHpnA6/C86bMwgZL8Ri8yt8UiOzZxBYEyz4OIeN2xPJNHFuIo+ZRZj5ZBOYtmqXK/XD6tS9ag3bh0ASakZdA3dSRU/Nxa/VYfE1HTemb+XDcejGNSkHG81KHXXGI1GI39fvEbZIs5YWGiWvIiIiIiIyKOkQ4cOREdH8/HHH3PhwgWCgoJYuXIlJUqUAODChQuEh4eb2gcEBLBy5Ur69evHt99+i6+vL19//TVt27YtqEe4bwbjjV3ncyEuLg5XV1diY2Oz7A2RlJREWFgYAQEB2NnZ3eYKIo8n/f6LiIiIyGNv+/fwxyhIS7xZVuYF8CwNts7gVR7KPA82Djm63J36l3J39/L+LsVfYvE/i1lxagVXLp2h0V9GEmxhT2kDH/+QTpGYbE4yGLF1ScNga4/zR5/RbLctkdeS73if+oGFmdatGrZWt5/1Xmnkaq4lpQGwf/hzuDnY5OgZREREROTJoO/cRfLWnf5OqX9+bzSzXURERERERO7OaISN42Hd6MxjK3vwfwYafAjFqhdsbJIrRRyL8HaVt3m7yttcS7nG5zs/p4JLCdp5VqC3c29KXDLSdksG3lczZ747JYLHdcP/Zr+nkfT+B/w+rC+2L7/B4MV/sXT/+Wzvs+F4FA3HrWf9fxpiY2WRpX7ZgfOmRDtAlY9/Z1aPGgSX8szVsvQJKWkkp2bg7qhEvYiIiIiIiOQvJdtFREREREQke5f/geXvw5kt5uXP9M1cGt6gZb8fdc42zox+drTpeHun7cw7Mo8vi3xr1q5wjJEy5430/b8MAC589iVlXmjJkOblTcl2Nwdr/vtGbSr4uhC6OYxPfj3C+dgkAof+xqdtgkhJy2DU8iOMbh1EkyBv+izYlyWeV2fvws7aguCSnlhaWPDH0UsA9GlchrplChF2OZ6hSw9hNBoZ3TqIQYsPms7tWrsEn7QOyvN3JCIiIiIiInI7WkZesuXv70/fvn3p27fvPV9j5MiRLF26lP3795uVff/990RGRrJkyRJat25937Hmtx49ehATE8PSpUuz1On3X0REREQeC+mpsOFz2PI1pN+yVLjBApp8DrV65dmttEzd/XlQ7+9s3Fl+Ov4TVbyqsD9yP7+f+Z10YzqEn2fStHQACtexp9CkleDsne013piziz+ORt71Xqv61iUlLYNZW06z7MB50jNy/TWFmf++UYvq/h7ZzqYXERERkUeLvnMXyVtaRj7vqeeZS1evXqVr1664urri6upK165diYmJydG5p0+fxmAwZPvZvn27WdvExETc3d3x8PAgMTExy7X27dtHixYt8PLyws7ODn9/fzp06MDly5fZsGED1tbWbN682eyc+Ph4SpYsSb9+/e75+e/H0aNHGTVqFFOnTuXChQs0bdq0QOIQEREREZHbMBph90z43B82jstMtPs+DR3mQ7tZ0Gd/niba5eHl5+JH/+r9aVS8Ef2r9+e3tr+xpt0aSlWuy3fNM79KiNqaSOKQIDjxR7bXmN7t7tsL1PB3p5y3C5WLufFVhyr8NeJ5JrR/imEtKjCmTSXeeDYg17F3mrGDwKG/4T94BTvDruT6fBERERGR/LJixQpq1aqFvb09hQoV4qWXXjKrDw8Pp2XLljg6OlKoUCH69OlDSkpKjq69fv362+akLl68aNb23Llz2NjYUK5cuWyvtW7dOho2bIiHhwcODg6UKVOG7t27k5aWxrx583B0dOTEiRNm55w/fx53d3cmTZqUizci8ujRMvK51KlTJ86dO8eqVasA6NWrF127dmX58uU5vsYff/xBxYoVzco8PT3NjhcvXkxQUBBGo5FffvmFzp07m+oiIyMJCQmhZcuWrF69Gjc3N8LCwli2bBkJCQnUr1+f9957jx49enDgwAEcHR0BGDhwILa2towdO/ZeH/++nDx5EoBWrVph0HKTIiIiIiIPl7gLsORNCNuQeWzjBE0/h6c6gYXGaUumLxt8SXB4DZ7fA6UvQtQhZ4r//Br0PQh2rmZtDQYDYWObcSE2ic4zdtChhh/1yhSmxTebyDDCiJYVePUZ82S6o60VbasVMysb2qICvx28wFvz9+LuYM3uoc8Rm5jKpn+iaFHZF0sLA0ajkZJDVvLvtftenrqNT1oH0bV2iQfyPkRERERE7tXixYvp2bMnY8aMoVGjRhiNRg4evLlNUnp6Os2bN6dw4cJs3ryZ6OhounfvjtFo5JtvvsnxfY4dO5ZllrKXl5fZ8ezZs3n55ZfZuHEjW7Zs4ZlnnjHVHT58mKZNm9KnTx+++eYb7O3t+eeff/j555/JyMiga9euLFmyhO7du7Np0yYs/td/7NWrF1WrVqVPnz738npEHhn5842J0Qgp8QXzyeUq+atWreLZZ5/Fzc0NT09PWrRoYUoSHz16lFWrVjFjxgyCg4MJDg5m+vTp/Prrrxw7dizH9/D09MTb29vsY21tbdYmNDSULl260KVLF0JDQ83qtm7dSlxcHDNmzKBq1aoEBATQqFEjJk6cSPHixQEYM2YMNjY2DBo0CMgcdTR9+nTmzZuX46VWEhISeO2113B2dqZ48eJMmzbNrH7QoEEEBgbi4OBAyZIlGTZsGKmpqdlea+TIkbRs2RIACwuLHCXb169fT82aNXF0dMTNzY1nnnmGM2fOmK5XpUoVpk6dip+fHw4ODrRv3z7LKgOzZs2ifPny2NnZUa5cOb777juz+oiICDp06IC7uzuenp60atWK06dPm+rT09Pp37+/6fdh4MCB3MPOCyIiIiIiD6+0ZNg3H6bWzUy0W9lD4xEwMAyqdlGiXczYW9kz7NlRfNvSkjQLiL9gR9TudJj/crbtDQYDvm72rPugAb3rl6KCrwunxjbn9GfNsyTa76RpJR9Of9acfcOfx9LCgIejDa2qFMXSwmC6T9jY5mwa2DDLucOWHrq3hxURERGRh1NB5ZzyMN+UlpbG+++/z7hx4+jduzeBgYGULVuWdu3amc5fs2YNR44c4YcffqBq1aqEhIQwYcIEpk+fTlxcXI7j8PLyypKTsriln2c0Gpk1axZdu3alU6dOWXJSv//+Oz4+PnzxxRcEBQVRqlQpmjRpwowZM7CxsQFg6tSpnDhxgi+//BLITN5v2rSJWbNmafKlPPbyZ2Z7agKM8c2XW2Ux5DzYOOa4eXx8PP3796dSpUrEx8czfPhw2rRpw/79+9m2bRuurq7UqlXL1L527dq4urqydetWypYtmychnzx5km3btvHLL79gNBrp27cvp06domTJkgB4e3uTlpbGkiVLaNeuXbb/UNnZ2TF37lzq1KlDSEgI/fr1Y8iQIVSvfvdl/G6YMGECn3zyCUOGDOHnn3/mrbfeol69eqZlRJydnZk9eza+vr4cPHiQnj174uzszMCBA7Nc64MPPsDf359XX32VCxcu3PXeaWlptG7dmp49e7JgwQJSUlLYuXOn2bOeOHGCH3/8keXLlxMXF8frr7/OO++8w/z58wGYPn06I0aMYPLkyVStWpV9+/bRs2dPHB0d6d69OwkJCTRs2JC6deuyceNGrKysGD16NE2aNOGvv/7CxsaGCRMmMHPmTEJDQ6lQoQITJkxgyZIlNGrUKMfvUURERETkoXVmK6wcCJf+N3uiSBC0nwOFShdsXPJQa1OmDWurrOX/aq+j7VYjlw854+q/C5sDi+CpDgUam5+HA6c/aw7AsYvXeGHiRgCqffI7WwY3ws7asiDDExEREZG8UFA5pzzMN+3du5eIiAgsLCyoWrUqFy9epEqVKowfP960MvK2bdsICgrC1/fms77wwgskJyezZ88eGjbMOtD0Xqxbt46EhARCQkIoVqwYtWrVYtKkSTg7OwOZOakLFy6wceNG6tWrl+01ChcuzNSpU3nllVd46qmn6NevH5MmTaJECa0wJY8/TVH4l7Zt2/LSSy9RpkwZqlSpQmhoKAcPHuTIkSNcvHgxy9IakDkq6N/7W9xJnTp1cHJyMvukp6eb6mfOnEnTpk1Ne7Y3adKEmTNnmupr167NkCFD6NSpE4UKFaJp06aMGzeOS5cumd2nevXqfPjhh7Rt2xZPT0+GDh2aq3fRrFkz3n77bUqXLs2gQYMoVKgQ69evN9UPHTqUOnXq4O/vT8uWLRkwYAA//vhjttdycnLCzc0NwDRy6k7i4uKIjY2lRYsWlCpVivLly9O9e3fTzH2ApKQk5syZQ5UqVahXrx7ffPMNCxcuNP1ZfPLJJ0yYMIGXXnqJgIAAXnrpJfr168fUqVMBWLhwIRYWFsyYMYNKlSpRvnx5Zs2aRXh4uOk5J06caHqH5cuXZ8qUKbi6umaJV0RERETkkZJ4FRa/AbOaZiba7dzg2f7w+u9KtMtdWRgsGF9/PIvqW/J3MQADUQedYUkviD1X0OGZlPV2pqibPQDR8Sl0mLqNjAytVCYiIiIi+eNO+aZTp04Bmav4Dh06lF9//RV3d3fq16/PlStXALh48SJFihQxu6a7uzs2Nja5ykkVK1bMLB/174mjoaGhdOzYEUtLSypWrEjp0qVZtGiRqb59+/a88sor1K9fHx8fH9q0acPkyZOzzK5v3bo1L7/8Mk2aNKFevXr06NEjN69L5JGVPzPbrR0yR/wUBGuHXDU/efIkw4YNY/v27Vy+fJmMjAwAwsPDAbKdRW40GnO1DMaiRYsoX768WZmlZebo+vT0dObMmcOkSZNMdV26dKFfv36MGjXK1O7TTz+lf//+rF27lu3btzNlyhTGjBnDxo0bqVSpkuncoUOH8vHHHzN48GCsrHL3x125cmXTzwaDAW9vbyIjI01lP//8MxMnTuTEiRNcv36dtLS0LPt+3CsPDw969OjBCy+8wHPPPUdISAgvv/wyPj4+pjbFixenWLGbe/kFBweTkZHBsWPHsLS05OzZs7z++uv07NnT1CYtLc2ULN+zZw8nTpwwjc66ISkpiZMnTxIbG8uFCxcIDg421VlZWVG9enUtJS8iIiIij67EGJjWEK6GgcECKr0MISPBxeduZ4qY2FvZM7buWHZsHUS5cxnEnXHArWQCjl9VhPazoWKbgg4RgF/fe5a2U7ZyKiqeA+diqTBiFYdHNTEtPy8iIiIij6CCyjnlYb7pxs8fffQRbdu2BTK3xS1WrBg//fQTb775JpA3OalNmzaZ5UFuzRXFxMTwyy+/sHnzZlNZly5dmDlzJm+88QaQmb+aNWsWo0ePNuWkPv30Uz7//HN27txplrcZNmwYc+fOZdiwYTmOT+RRlz/JdoMhV0trFKSWLVvi5+fH9OnT8fX1JSMjg6CgIFJSUvD29s4yexwgKioqy+iiO/Hz86N06exni6xevdq0j/it0tPTWbNmDU2bNjWVeXp60r59e9q3b8/YsWOpWrUq48ePZ86cOaY2N/aCz22i/dZzbzAYDKb/AGzfvp2OHTsyatQoXnjhBVxdXVm4cCETJkzI9X1uZ9asWfTp04dVq1axaNEihg4dyu+//07t2rWzbX/jPy63xjl9+nSzZf/h5sCGjIwMqlWrZlp2/laFCxfOs+cQEREREXkopCbBntmwalDmsbMvdPgBilUr0LDk0dWiZAvGPzOG4L+vEnAJwtcVwrlYIj6pr2I5tCHYuxV0iLg72rB2QAN+3nOOD346QFJqBqWGrOT46KbYWGmxPxEREZFH0iOSc7pTvulGgrpChQqm9ra2tpQsWdI0+dPb25sdO3aYXfPq1aukpqbmKicVEBBgWnn43/773/+SlJRklkcxGo1kZGRw5MgRs/iKFi1K165d6dq1K6NHjyYwMJApU6YwatQoU5sbuah7yUmJPKrUs7xFdHQ0R48eZejQoTRu3Jjy5ctz9epVU31wcDCxsbHs3LnTVLZjxw5iY2OpU6dOnsRwY7mO/fv3m306d+5MaGjobc+zsbGhVKlSxMfH50kcd7NlyxZKlCjBRx99RPXq1SlTpgxnzpzJ8/tUrVqVDz/8kK1btxIUFMR///tfU114eDjnz98cvbZt2zYsLCwIDAykSJEiFC1alFOnTlG6dGmzT0BAAABPP/00//zzD15eXlnauLq64urqio+PD9u3bzfdIy0tjT179uT5c4qIiIiIPFDxl2FyjZuJdoBOi5Rol/vW4+lefN7u5j7o187Zc3pNIVKHB8DaT+EhWRWsXbVidK51c1uywKG/0X7KVraevFyAUYmIiIjI4+pu+aZq1apha2vLsWPHTGWpqamcPn3atM95cHAwhw4d4sKFC6Y2a9aswdbWlmrV8qYvFxoayoABA8zyUQcOHKBhw4Zm2xv/m7u7Oz4+PvmWkxJ5mGloyS3c3d3x9PRk2rRp+Pj4EB4ezuDBg0315cuXp0mTJvTs2dO073evXr1o0aJFlj0u7iQ6OjrLfhpubm5cu3aN5cuXs2zZMoKCgszqu3fvTvPmzYmKimLHjh0sXLiQjh07EhgYiNFoZPny5axcuZJZs2bdxxvIudKlSxMeHs7ChQupUaMGK1asYMmSJXl2/bCwMKZNm8aLL76Ir68vx44d4/jx43Tr1s3Uxs7Oju7duzN+/Hji4uLo06cPL7/8smk/+JEjR9KnTx9cXFxo2rQpycnJ7N69m6tXr9K/f386d+7MuHHjaNWqFR9//DHFihUjPDycX375hf/85z8UK1aM999/n88++4wyZcpQvnx5vvzyS2JiYvLsOUVEREREHrgj/wcr/wPX/7dKV+UOEDJKy8ZLnuhYriMT9kzg5cGWdF6fQavtRlKuWXNyRRGKxkzCeeMXMCwaLAv+64dP21Til70RJKamA7Dr9FU6Td/B+g8a4F/o4Z8ZJSIiIiKPjrvlm1xcXOjduzcjRozAz8+PEiVKMG7cOCBzj3SA559/ngoVKtC1a1fGjRvHlStX+OCDD+jZs2eutvSNjIwkKSnJrMzT05PDhw+zd+9e5s+fT7ly5czqX3nlFT766CPGjh3LzJkz2b9/P23atKFUqVIkJSUxd+5cDh8+zDfffHOvr0jksVHwvd2HiIWFBQsXLqRPnz4EBQVRtmxZvv76axo0aGBqM3/+fPr06cPzzz8PwIsvvsjkyZNzdZ+QkJAsZQsWLCAiIgJHR0caN26cpb5hw4Y4Ozszb948WrdujYODAwMGDODs2bPY2tpSpkwZZsyYQdeuXXP30PeoVatW9OvXj3fffZfk5GSaN2/OsGHDGDlyZJ5c38HBgb///ps5c+YQHR2Nj48P7777rmmfEshM+L/00ks0a9aMK1eu0KxZM7777jtT/RtvvIGDgwPjxo1j4MCBODo6UqlSJfr27Wu6x8aNGxk0aBAvvfQS165do2jRojRu3Nj0H6oBAwZw4cIFevTogYWFBa+99hpt2rQhNjY2T55TREREROSBMRph85fw58eZx+7+0GYqFM9+WyaRe2FnZceiFovo8GsH5je0ZHtZIx+ttMMpKp5zmzzwf+4y9p/5wUcX7n6xfHBw5PMs2RdBWoaRD385CECD8ev5+pWqvPiUbwFHJyIiIiKPi5zkm8aNG4eVlRVdu3YlMTGRWrVqsXbtWtzd3YHMLXFXrFjB22+/zTPPPIO9vT2dOnVi/PjxuYolu8mi27ZtY/78+VSoUCFLoh2gdevWvPXWWyxfvpyaNWuyefNmevfuzfnz53FycqJixYosXbqU+vXr5+7FiDyGDEZj7td0i4uLw9XVldjY2CyjZ5KSkggLCyMgIAA7O7s8C1TkViNHjmTp0qXs37+/oEMxo99/EREREXkoZKTDr31h79zM4xpvwPOjwdq+QMPKzp36l3J3D8v7u5p0lXqL6gHgfs3IV7954XAyM8FeqvklbN79PwioW2DxZWf9sUh6zNplVvZRs/L0rFeygCISERERkX/Td+4ieetOf6celv7lo0Z7touIiIiIiDxuNn2ZmWg3WEDTcdB8wkOZaJfHh7udOwe6HaBdYDuuOhsY0OzmXuhn1haCv1cUYHTZa1DWi82DGlIrwMNU9unKo/z61/kCjEpEREREREQeJUq256HevXvj5OSU7ad3794FHZ7Jpk2bbhunk5NTvsVxpxg2bdqUb3GIiIiIiDw2jEZYMQDWjc48bvoF1OpVsDHJE8PCYMGw2sN42utpop2M/LehJQBpiZZcWzwL/vm9gCPMqpi7A990qkrzyj6msnf/u48BPx7gHhYCFBERERHJN02bNr1tjmXMmDEFHZ7IE0PLyOehyMhI4uLisq1zcXHBy8srnyPKXmJiIhEREbetL126dL7EceLEidvWFS1aFHv7R2/mzZP8+y8iIiIiBSzqGKz8AMI2Zh4/0xdCRoLBUJBR3ZWWqbs/D+P7u5J0hTfWvME/V47z42fppvIyrS9i1WQQPPP+Q7nSwuXryVQf/UeW8s2DGlLM3aEAIhIRERERfed+exERESQmJmZb5+HhgYeHR7Z18mTTMvJ5z6qgA3iceHl5PTQJ9Tuxt7fPt4T6nTwMMYiIiIiIPPKSYmFBJziz+WZZw6FQ74OHPtEujycPOw8G1RjEG2veoGcfS6Z/nZlwv7DTjWK2YzFsmQQfXSjgKLMq5GTLXyOf55mxa7mWnGYqf/bzddQM8MDdwZrJnZ7G2lKLBIqIiIhIwStatGhBhyAiaBl5ERERERGRR9PlE7BuDHxW/Gai3b8uvL0d6v9HiXYpULV8alHDuwaxjgbmNsr86uH6eTsu7nbFmJwAc1tDemrBBpkNFztrdg8L4ZtXqtK+WjFT+c6wK6w+fIkyH/3GyajrpKVnFGCUIiIiIiIi8rDQzHYREREREZFHSfh22DUDDi0G4/8SfjbO0HIiVHwJLDSmWh4OI4NH0nxJc36tZUHLjCDc1/9FzElHAHws1sEnhaB8S+jwQwFHas7WypKWT/nS8ilfutQuwRtzdxN1LdlU33jCBtPPPer4M/LFigURpoiIiIiIiDwElGwXERERERF52F09A5u/hKun4dR687riwdDxv+Cg/fjk4VLcpTgOVg4kpCXwds3D/FrmVa5Nn0XsaQcKV47DytYIR5dD3AVw8SnocLP1lJ8buz4KwWg0MvDnv/hpzzmz+tlbTzN762lql/Tg5ep+1AssTEJyOl4utthZWxZQ1CIiIiIiIpJflGwXERERERF52KQmwuaJEL4NLh2GhMvm9eVaQJVOULaZlouXh9rGjhup/kN10i0NNPWcy/+VK0fy33/zzxIfyr18HoMF8PevULNnQYd6RwaDgXHtn2Jc+6eIiElk7Mqj/PrXzX3nt5+6wvZTV0zHzrZW1CntyfXkNLaciMbdwZqtgxtjb6MEvIiIiIiIyONE6wuKiIiIiIg8TI6tgvGBsOEzCNtwM9HuVQGeeR86/Zi57Ha55kq0y0PP1tKWt556K/PAYODHp5NMdWFbgkhLNsCBhQUU3b0p6mbP5E5Ps2/Yc3SuVTzbNteS01h9+BJbTkQDcDUhlVHLD+dnmCIiIiIiIpIPlGyXbPn7+zNx4sT7usbIkSOpUqVKlrIiRYpgMBhYunTpHc/v0aMHrVu3ztU9L168yHPPPYejoyNubm65OldEREREpEAZjbArFBZ1geQ4cPCE+oMyE+vv7oa3t8FzH0PgC0qyyyOl91O9sTBkfv0wv8Q5rjtlzu5OjrjCP0t8iNtxKHMFh0eMu6MNn7apxOnPmnP6s+bsH/4cu4eGcHx0Uz54PpAedfz5qFl5U/uFu84Sk5BSgBGLiIiIiDwc8iIH9W8NGjSgb9+++X7fh012uTl5sJRsz6WrV6/StWtXXF1dcXV1pWvXrsTExOTo3NOnT2MwGLL9bN++3axtYmIi7u7ueHh4kJiYmOVa+/bto0WLFnh5eWFnZ4e/vz8dOnTg8uXLbNiwAWtrazZv3mx2Tnx8PCVLlqRfv373/Pz34+jRo4waNYqpU6dy4cIFmjZtesf2kyZNYvbs2bm6x1dffcWFCxfYv38/x48fv49oRURERETySUYGHF4K89vBiv6QkQr+deH9A9BwCJRvCYXKFHSUIvfMwmDBgW4HeKXcKwC89p4Bzx9CwSLzK4mIzR7Ezf7c/KT0VDi9BdYMhYWdYed0iD3370s/VNwcbCjkZIuNlQXvNirDyBcr0rNeScLGNsPZLnMXvyof/05sQmoBRyoiIiIiDwPlm0QeD9qzPZc6derEuXPnWLVqFQC9evWia9euLF++PMfX+OOPP6hYsaJZmaenp9nx4sWLCQoKwmg08ssvv9C5c2dTXWRkJCEhIbRs2ZLVq1fj5uZGWFgYy5YtIyEhgfr16/Pee+/Ro0cPDhw4gKOjIwADBw7E1taWsWPH3uvj35eTJ08C0KpVKww5mInj6up6T/eoVq0aZcrc/svI1NRUrK2tc31tEREREZE8YzRC1N/wzxr46ye4dPB/FYbM2ex1+4OVbYGGKJLXPqz5Ibsu7uJEzAkaH36TnatWEN6mDRnxSUTM2oVVeGHsC6Vkv3DD37/Cyg9g+BWweLT2PTcYDLxc3Y/QzWEALPvrPF1rlyjgqERERESkoCnfJPJ4yJeZ7UajkYTUhAL5GI3GXMW6atUqnn32Wdzc3PD09KRFixamJPHRo0dZtWoVM2bMIDg4mODgYKZPn86vv/7KsWPHcnwPT09PvL29zT7/Tv6GhobSpUsXunTpQmhoqFnd1q1biYuLY8aMGVStWpWAgAAaNWrExIkTKV48c7+4MWPGYGNjw6BBgwBYt24d06dPZ968edjZ2eUozoSEBF577TWcnZ0pXrw406ZNM6sfNGgQgYGBODg4ULJkSYYNG0ZqavYj9EeOHEnLli0BsLCwyFGy/d/LyDdo0IA+ffowcOBAPDw88Pb2ZuTIkaZ6f39/Fi9ezNy5czEYDPTo0QPI/GJjypQptGrVCkdHR0aPHk16ejqvv/46AQEB2NvbU7ZsWSZNmpSj9yIiIiIicl9iI2BydfiuNvw+PDPRbmEN1V+HXuug4YdKtMtjyWAw0LZMW9Nxm129ufLlzZkwZ/4sxLGffDix3ItzW9w5vdab40uLcGatJ8b0/zXa9m0+R503hrWoQN0yhQDYeDyqgKMRERERebQVVM5J+aZ7yzdFRkbSsmVL7O3tCQgIYP78+VnahIeH06pVK5ycnHBxceHll1/m0qVLpvrsth3u27cvDRo0MCtLS0vj3XffNb3zoUOH3vHPLTY2ll69euHl5YWLiwuNGjXiwIEDd30mgAMHDtCwYUOcnZ1xcXGhWrVq7N69G4DZs2fj5ubG0qVLCQwMxM7Ojueee46zZ8+aXWP58uVUq1YNOzs7SpYsyahRo0hLS8tVfJ999hlFihTB2dmZ119/naSkpBzFL3knX2a2J6YlUuu/tfLjVlns6LQDB2uHHLePj4+nf//+VKpUifj4eIYPH06bNm3Yv38/27Ztw9XVlVq1bj5L7dq1cXV1ZevWrZQtWzZPYj558iTbtm3jl19+wWg00rdvX06dOkXJkiUB8Pb2Ji0tjSVLltCuXbtsE9d2dnbMnTuXOnXqEBISQr9+/RgyZAjVq1fPcRwTJkzgk08+YciQIfz888+89dZb1KtXj3LlygHg7OzM7Nmz8fX15eDBg/Ts2RNnZ2cGDhyY5VoffPAB/v7+vPrqq1y4cOEe3wzMmTOH/v37s2PHDrZt20aPHj145plneO6559i1axfdunXDxcWFSZMmYW9vbzpvxIgRjB07lq+++gpLS0syMjIoVqwYP/74I4UKFWLr1q306tULHx8fXn755XuOT0REREQkW0YjnNsNaz+GsI03ywuXgyqdoFwL8CxVcPGJ5JMuFbrwZ/if7L60m4jrEfS6Po4hw9pQc8Y6Ui7EYMwwkBpvRWr8za8rEpIsuXrSEY/AePh9GOyfD6/+Bg4eBfgkuTe4aTk2/bOZDcejSEnLwMZKO/uJiIiI3IuCyjkp33Rv+aYePXpw9uxZ1q5di42NDX369CEyMtJUbzQaad26NY6OjmzYsIG0tDTefvttOnTowPr163P1vHPmzOH1119nx44d7N69m169elGiRAl69uyZpa3RaKR58+Z4eHiwcuVKXF1dmTp1Ko0bN+b48eN4eNy5v9G5c2eqVq3K999/j6WlJfv37zcb6JCQkMCnn37KnDlzsLGx4e2336Zjx45s2bIFgNWrV9OlSxe+/vpr6taty8mTJ+nVqxeQmdPKSXw//vgjI0aM4Ntvv6Vu3brMmzePr7/+2vTnK/lDy8j/S9u2bc2OQ0ND8fLy4siRI1y8eBEvL68s53h5eXHx4sUc36NOnTpYWJh3qmNjY7G0zFwKb+bMmTRt2hR3d3cAmjRpwsyZMxk9ejSQ+Q/ukCFD6NSpE71796ZmzZo0atSIbt26UaRIEdM1q1evzocffkjbtm2pWrUqQ4cOzXGMAM2aNePtt98GMmexf/XVV6xfv96UbL/1ev7+/gwYMIBFixZlm2x3cnLCzc0NyPzH+15VrlyZESNGAFCmTBkmT57Mn3/+yXPPPUfhwoWxtbXF3t4+yz06derEa6+9ZlY2atQo088BAQFs3bqVH3/8Ucl2EREREckbGemZScH0VDi3Cw4sMK9v8jnUepPs18wWeXzNajKLI9FH6P17b64mX2VM2nK+mjmBhh61uLZ2HSlhYRjsbLEpUYKE7duJ+elnLu11BYMRjzIJmVswfBEAH0aArVNBP06OVfBxwcbKgpS0DP46F0N1/0drsICIiIiI5I7yTXD8+HF+++03tm/fbhpYEBoaSvny5U1t/vjjD/766y/CwsLw8/MDYN68eVSsWJFdu3ZRo0aNHL8PPz8/vvrqKwwGA2XLluXgwYN89dVX2Sbb161bx8GDB4mMjMTWNnN1ufHjx7N06VJ+/vlnU+L7dsLDw/nPf/5jypn9e3vj1NRUJk+ebHruOXPmUL58eXbu3EnNmjX59NNPGTx4MN27dwegZMmSfPLJJwwcOJARI0bkKL6JEyfy2muv8cYbbwAwevRo/vjjD81uz2f5kmy3t7JnR6cd+XGrbO+dGydPnmTYsGFs376dy5cvk5GRAWT+pQGyHdVjNBpztCz6DYsWLTL7hwQw/cOXnp7OnDlzzJY079KlC/369WPUqFGmdp9++in9+/dn7dq1bN++nSlTpjBmzBg2btxIpUqVTOcOHTqUjz/+mMGDB2Nllbs/7sqVK5t+NhgMeHt7m402+vnnn5k4cSInTpzg+vXrpKWl4eLikqt75NatMQH4+PiYxXQ72Y2wmjJlCjNmzODMmTMkJiaSkpJClSpV8ipUEREREXmSJV+HH7vCybXm5Y5eUPRpaP39IzcrVyQvVfCswLqX11Fzfk1SMlLot3EAv7f7He82rc3auTz/PIl/HST52DEu7XHDoXAKdm7/W1ZxbNFHag93g8GAn7s9J6PiaTdlG43KeTGlSzXNcBcRERHJpYLKOSnflPt809GjR7GysjLL0ZQrV840OfNGGz8/P1OiHaBChQq4ublx9OjRXCXba9eubfb+goODmTBhAunp6abnvWHPnj1cv349yx73iYmJpuX+76R///688cYbzJs3j5CQENq3b0+pUjdXrLvdcx89epSaNWuyZ88edu3axaeffmpqk56eTlJSEgkJCTmK7+jRo/Tu3dusPjg4mHXr1t01fsk7+ZJsNxgMuVpaoyC1bNkSPz8/pk+fjq+vLxkZGQQFBZGSkoK3t7fZHhE3REVFmY3wuRs/Pz9Kly6dbd3q1auJiIigQ4cOZuXp6emsWbOGpk2bmso8PT1p37497du3Z+zYsVStWpXx48czZ84cU5sbS1bkNtF+67k3GAwG038Mtm/fTseOHRk1ahQvvPACrq6uLFy4kAkTJuT6PnkV0504OjqaHf/444/069ePCRMmEBwcjLOzM+PGjWPHjoIZFCIiIiIijxGjEX5+7Wai3doRUuOhwYdQf5Bmsov8j6WFJcvbLOeFxS8A8NzPzxHkGUR17+q0KtWKk7EnuXD9AsUnvIVPi74AhK3yosSILjgc+yLzIgcWQtXOBfQEufdOw9L0/zFzj8W1f0cSOPQ3mlXy5rO2lXGxs77L2SIiIiICj07OSfkmTPul32kAwe0GGNxabmFhkWXv9dTU1BzHkZ2MjAx8fHyyXar+1sEAtzNy5Eg6derEihUr+O233xgxYgQLFy6kTZs2pjbZPdeNsoyMDEaNGsVLL72UpY2dnd19xyf5R8vI3yI6OpqjR48ydepU6tatC8DmzZtN9cHBwcTGxpqWeADYsWMHsbGx1KlTJ09iCA0NpWPHjnz00Udm5Z999hmhoaFm//jdysbGhlKlShEfH58ncdzNli1bKFGihFmcZ86cyZd754VNmzZRp04d0zL5QI5GKomIiIiI3FF6GmwcB/+sBgyZ+0qXCM5cUv4RmX0rkp98nXz5qNZHfLojczbHoehDHIo+xOzDs83a/fJRH9I+/RqAM6N+wL5YSfyfPQX/9zYkxUDwO/kc+b156eliuNhZ88bc3aaylQcvEn4lgWXvPIuFhQbjiIiIiDwOlG/KVL58edLS0ti9e7fpOY8dO0ZMTIypTYUKFQgPD+fs2bOm2e1HjhwhNjbWNGu/cOHCHDp0yOza/94jHTIniv77uEyZMllmtQM8/fTTXLx4ESsrK/z9/e/p+QIDAwkMDKRfv3688sorzJo1y5Rsv91z31h2/umnn+bYsWO3HSyRk/jKly/P9u3b6datm9kzS/5Ssv0W7u7ueHp6Mm3aNHx8fAgPD2fw4MGm+vLly9OkSRN69uzJ1KlTAejVqxctWrSgbNmyOb5PdHR0lj033NzcuHbtGsuXL2fZsmUEBQWZ1Xfv3p3mzZsTFRXFjh07WLhwIR07diQwMBCj0cjy5ctZuXIls2bNuo83kHOlS5cmPDychQsXUqNGDVasWMGSJUvy5d55oXTp0sydO5fVq1cTEBDAvHnz2LVrFwEBAQUdmoiIiIg8qqKOww9tITZzSUCe7paZaAcl2kXuoGO5jpTzKMd3+79j24VtANha2lLGrQyHojO/UJvke5ih3btxdc5cABLPJXE1tgrurvth9ZDMT7/D4FqsoB4jx0IqFOH0Z82JT05jzrbTfLHqGIci4nh+4kYW9qpNISfbgg5RRERERO6T8k2ZypYta3rOadOmYWVlRd++fbG3v7kkf0hICJUrV6Zz585MnDiRtLQ03n77berXr29ahr1Ro0aMGzeOuXPnEhwczA8//MChQ4eoWrWq2f3Onj1L//79efPNN9m7dy/ffPPNbVdkDgkJITg4mNatW/P5559TtmxZzp8/z8qVK2ndunW22xPfkJiYyH/+8x/atWtHQEAA586dY9euXbRt29bUxtramvfee4+vv/4aa2tr3n33XWrXrm1Kvg8fPpwWLVrg5+dH+/btsbCw4K+//uLgwYOMHj06R/G9//77dO/enerVq/Pss88yf/58Dh8+TMmSJe/5z0xyTxuD3cLCwoKFCxeyZ88egoKC6NevH+PGjTNrM3/+fCpVqsTzzz/P888/T+XKlZk3b16u7hMSEoKPj4/ZZ+nSpcydOxdHR0caN26c5ZyGDRvi7OzMvHnzqFChAg4ODgwYMIAqVapQu3ZtfvzxR2bMmEHXrl3v6x3kVKtWrejXrx/vvvsuVapUYevWrQwbNixf7p0XevfuzUsvvUSHDh2oVasW0dHRZrPcRURERERy5cJf8G2NzES7tSPUHQBNvyjoqEQeGVW8qjDt+Wkc7H6QXZ13sb3Tdha0WMC8ppn97Q3nNjDx2VjK/30Ux/r1ALj4WyTJsbfMIfiqIsRdKIjw74mjrRVvNyjNR80yZ+uciLxO4wkbuBCbWMCRiYiIiMj9Ur7pplmzZuHn50f9+vV56aWX6NWrF15eXqZ6g8HA0qVLcXd3p169eoSEhFCyZEkWLVpkavPCCy8wbNgwBg4cSI0aNbh27ZrZbO4bunXrRmJiIjVr1uSdd97hvffeo1evXtnGZTAYWLlyJfXq1eO1114jMDCQjh07cvr06bsu5W9paUl0dDTdunUjMDCQl19+maZNmzJq1ChTGwcHBwYNGkSnTp0IDg7G3t6ehQsXmj3Tr7/+yu+//06NGjWoXbs2X375JSVKlMhxfB06dGD48OEMGjSIatWqcebMGd56660c/KlIXjIY/73JQQ7ExcXh6upKbGwsLi4uZnVJSUmEhYUREBCAnZ1dngUq8ijQ77+IiIjIE+jMNvixG8RHgp0r9NoAHloxKafu1L+Uu3sS3t9/NvyHVadXAfDfZv+lPN6caByCMSUFgCLV4/EoHWt+0vCrYPHozC/4/cglet6ytPzL1YvxRbunCjAiERERkYeDvnOXR9Hs2bPp27ev2XL5D4s7/Z16EvqXD8Kj0/MUERERERF5mFw5BbOaw6wmmYl2j1JKtIs8AJ/X+9z0c6eVnbjmbEXAkl9MZZd2O3J0oS8Z6bec9LE7jCsDZ3fmY6T37rkKRfi8bSVKFXYE4Mfd53h56jZmbDrFrtNXCjg6ERERERERuR0l2/NQ7969cXJyyvbTu3fvgg7PZNOmTbeN08nJKd/iuFMMmzZtyrc4RERERERyJSkOtk+B7+rAmc1gYQ1PdYI3/lCiXeQBsDBYMLbuWNNxvUX1+CLyv5TZstmsXdiOWuYnxkdC6HOwf0F+hHnfOtQozp8DGlCnlCcAO8OuMHrFUdpP2caPu88SeS2Je1icUEREREQeQco3FbyKFSve9rnmz59f0OHJQ0TLyOehyMhI4uLisq1zcXEx24OiICUmJhIREXHb+tKlS+dLHCdOnLhtXdGiRbG3t8+XOPLSk/z7LyIiIvJIMBozZ6S7+4OFpXldWjLsmQPXL0GRipB8Da6eBoMFJETDlZOZ7SKPQnxU5s8uRaHb/0GhMvn5FI8VLVN3f56k97fg7wWM2TEGAEuDJetfXo+rjQvh3XuQsGsXAH5Tp+Dkmwrz25qfPDAMHDzyO+R7tuF4FMP/7xBnohOy1P363rMEFXUtgKhERERE8t+T+p278k0F78yZM6SmpmZbV6RIEZydnfM5oryhZeTznpLtInlIv/8iIiIiDxmjETLS4WoYHF4Cu2ZkJtMxZCbULW3AziUz0R6+LefXtXaApzpC3QHgWuyBhf8kUGf+/jxp7y8lPYVqP1QDoLhzcZa3WY6FwYJLYz/jypw5WDg6Erh7FwaDAWLCYWKlmycHtYN2oQUU+b25fD2Z1+fs5sDZGFOZu4M1WwY3wsHGquACExEREckn+s5dJG8p2Z73HljPTEubyZNIv/ciIiIiD4m9c2HrZLh87DYNjHDpUNZiGycoUQeuR0LiFfCvmzmz/folKFYDPEpmtisdAvZuDyp6EbkNG0sbpoZM5c0/3iT8WjiT902mz9N9KPTeu1xdsICM+HguDPkI37FjwK04NBoGaz/JPPnQz5mfl+dByfqQfB1cixbsA91FISdb/u+dZ4hLSiU8OoEW32zmakIqTSZuYnXfetjbWN79IiIiIiIiIvLA5Hmy3draGoCEhIRHchlwkfuRkpICgKWlvvAQERERyVdpKXBmC2z4HM7uBGN61jaOXlC+JdTtn9km9hy4+EJyXOa+6y6+UKw62Gl5ZpGHWZ2idXix1IssO7mM6Qens/vSbuY0mYN7ly5cmTmT2CVLcKhVE7fWraHeB1D9Nfj+Gbh2PvMCP3Y1v+B/ToJjoXx/jtxwsbMmqKgrX7StzMDFfxF+JYEG49cxtHkFWj7lW9DhiYiIiIiIPLHyPNluaWmJm5sbkZGRADg4OGQu3ybymMvIyCAqKgoHBwesrLScn4iIiEi+2TkdVn6QfV3dDzJnoXuVN5+JrqXfH1nff/8933//PadPnwagYsWKDB8+nKZNm2bbfv369TRs2DBL+dGjRylXrtyDDFUeoFF1RnEm7gwHog6wL3IfledWZkvfLdjt3k3SX39xYfCH2JYug31Qxcy92vsdyhyMs+HzrBcbVwqajoP4KAhsAsWq5f8D5dDLNfw4cC6G+TvCuRSXzHsL9lGqsBMVfLXEo4iIiIiISEHI8z3bIXMp7YsXLxITE5MXMYo8MiwsLAgICMDGxqagQxERERF5Mvz5CWwaf/O4Unuo9mpmct3Bo+DikhzL7Z5wy5cvx9LSktKlSwMwZ84cxo0bx759+6hYsWKW9jeS7ceOHTO7fuHChR+LFame5D31jEYjIT+FEJmYOdjfw86D1dVnEta8hamNX+gMnJ555uZJ1yNhRX8o2QDizsOmCVkv3HMtFH14E+4Am/6JomvoTtPx3NdqUi+wcAFGJCIiIvJgaM92kbylPdvz3gNJtt+Qnp5OamrqfQUo8iixsbHBwsKioMMQEREReTIcWXZzOehn+kLdAWCnzuCjJi868x4eHowbN47XX389S92NZPvVq1dxc3O7z2gfPk/6lyFGo5F3/nyHTRGbAPg+5HuqRtgQ3q27qU2JeXNxqFEj+wtcOgL/9w6c35u1zmAJfjWh8XA4tR6ijsFL08Hq4RhcvfF4FN1m3ky4nxrTDAsLrSwoIiIijxcl20XylpLtee+BrnVtaWn5WMwUEBERERGRh0zi1czZqQDPvA/PjSrYeOS+xcXFmR3b2tpia2t7x3PS09P56aefiI+PJzg4+I5tq1atSlJSEhUqVGDo0KHZLi0vjx6DwcB3Id8xZscYFvy9gIV/L+TZxpMJWPZ/hL3YCoBL48cTsGhR9hcoUgG6/R/8tShzRYzZzW/WGdMhfBvMumWLgiNLIbApnNsJ/nUzE/GepcyvmZIAGalgZQ/hW+HAQvCtCjV7QR5us1cvsDDfvFKV9xbsA6Da6N/ZM/Q5riWlsT0smloBHrg5PBwDA0REREREbuXv70/fvn3p27dvnl2zQYMGVKlShYkTJ+bLfUeOHMnSpUvZv39/js9JSEiga9eu/P7771y7du2xHRT+pNHG0iIiIiIi8uj5Y1Tm/sqeZaDhRwUdjeQBPz8/s+MRI0YwcuTIbNsePHiQ4OBgkpKScHJyYsmSJVSoUCHbtj4+PkybNo1q1aqRnJzMvHnzaNy4MevXr6devXp5/RhSQNqWacuCvxew4dwGNkds5tnAZyky5EMujRlL0oG/SLt6FSt39+xPtnOBmj0zf+57CL6umpksdw+Aq2FZ2x//LfN/jyzN/PybwQKMGeZlBxbA6U3Q4Yd7fcRstXzKl89++5uImESuJqRScsjKbNvZWFqQkp7BwCZlSUhO50pCCm2fLkoVP3csNRteREREpEBcvXqVPn36sGzZMgBefPFFvvnmmxwlX0+fPk1AQEC2ddu2baN27dqm48TERHx9fTEYDERERGBvb2/Wft++fQwbNoydO3cSFxeHt7c3tWrV4ttvv+Xw4cOEhISwbt06nn32WdM58fHxVKpUiVatWvHVV1/dw9M/+j744APee++9XJ0zZ84cNm3axNatWylUqBCurq4PKDrJT0q2i4iIiIjIoyM1ETZPhD2zMo9bfAVWd579LI+Gs2fPmi1Td6dZ7WXLlmX//v3ExMSwePFiunfvzoYNG7JNuJctW5ayZcuajoODgzl79izjx49Xsv0xUtajLMWdixN+LZy3/niL/V334965M5fGjAXgn+A6lDtyGMPdtv1y84NhURB7LvPnxKuZW1Z4B8HxNbDhs7sH8+9E+w1Hl2dez/42Sf97tP4/DXht9i42/XP5tm1S0jNj+mLVMVPZf3eEA7Dk7ToUcrLlROR19py5SttqxSju4cD1pDRcHazzNFYRERERualTp06cO3eOVatWAdCrVy+6du3K8uXLc3yNP/74g4oVK5qVeXp6mh0vXryYoKAgjEYjv/zyC507dzbVRUZGEhISQsuWLVm9ejVubm6EhYWxbNkyEhISqF+/Pu+99x49evTgwIEDODo6AjBw4EBsbW0ZO3bsvT7+I8/JyQknJ6dcnXPy5EnKly9PUFDQbdukpKRgY6MVqh4l2lxaREREREQeDWGbYGLlm8mumr0goG7BxiR5xsXFxexzp2S7jY0NpUuXpnr16owdO5annnqKSZMm5fhetWvX5p9//smLsOUh8kW9L0w/D9syDIOlJUUn3pxlE/XNNzm7kMGQmWiHzMR4te5QtBo0/BBGxt789FoPzr43z6vWA16cDP3/hv5H4e0dMPxq5ueGz/3hetQ9P2N2rC0tmP1qTT5vW4n6gYWZ1LEKJ8c0Y0HP2vSuX4q+IWXueH6b77ZS94t1vDp7F5PXnaDh+PWUGrKSpz5eg//gFbwzfy8Dfz7AS99toc7YP/EfvIKgEavZdfpKnj6HiIiIyONm1apVPPvss7i5ueHp6UmLFi04efIkAEePHmXVqlXMmDGD4OBggoODmT59Or/++ivHjh27y5Vv8vT0xNvb2+xjbW0+YDI0NJQuXbrQpUsXQkNDzeq2bt1KXFwcM2bMoGrVqgQEBNCoUSMmTpxI8eLFARgzZgw2NjYMGjQIgHXr1jF9+nTmzZuXZc/v7ERGRtKyZUvs7e0JCAhg/vz5WdqEh4fTqlUrnJyccHFx4eWXX+bSpUum+h49etC6dWuzc/r27UuDBg3MytLS0nj33XdN73zo0KEYjcbbxhYbG0uvXr3w8vLCxcWFRo0aceDAgbs+E2QuI1+lSpUsMY4fPx4fHx88PT155513SE1NBTKXuZ8wYQIbN27EYDCYYvf392f06NH06NEDV1dXevbMXHVr0KBBBAYG4uDgQMmSJRk2bJjpWvJw0cx2ERERERF5uMVGwI4psPUbwAi2LtB8AlRqX9CRyUPCaDSSnJyc4/b79u3Dx8fnAUYkBaFioYo8X+J51pxZw/JTy2kX2I6nmzQhfWQMF0eOInpGKB5du2Ll4ZE3N/StCgOO3r7e5ZZEfMOPYN2nmT//tRDq5G65ybuxtDDQoUZxOtQobioLLuVJcKnMWU19QwLN2qelZ3DuaiJdZ+7g7JVEAGysLEhJyzorf8XBC1nKrien0X7KNuysLSjh4Uh8ShqeTraUKuzI1fgUDp2PI+pa5t/J+oGFORMdTzF3B2a9WgNry7yd9xEZl8S+szH8dS6GCzFJHL14jaMX4gB4tnQhmlXy4ekSbpTzdrnLlURERORRYTQaMSYm5vt9Dfb2GAw534InPj6e/v37U6lSJeLj4xk+fDht2rRh//79bNu2DVdXV2rVqmVqX7t2bVxdXdm6davZ6lz34+TJk2zbto1ffvkFo9FI3759OXXqFCVLlgTA29ubtLQ0lixZQrt27bJ9Pjs7O+bOnUudOnUICQmhX79+DBkyhOrVq+cohh49enD27FnWrl2LjY0Nffr0ITIy0lRvNBpp3bo1jo6ObNiwgbS0NN5++206dOjA+vXrc/W8c+bM4fXXX2fHjh3s3r2bXr16UaJECVMC+1ZGo5HmzZvj4eHBypUrcXV1ZerUqTRu3Jjjx4/jcQ/9hnXr1uHj48O6des4ceIEHTp0oEqVKvTs2ZNffvmFwYMHc+jQIX755Rez2evjxo1j2LBhDB061FTm7OzM7Nmz8fX15eDBg/Ts2RNnZ2cGDhyY67jkwVKyXURERERECt6VU3DiTyhWHbwrg4Vl5jLOa4bC4SU32wU2hZemgp32NXtSDRkyhKZNm+Ln58e1a9dYuHAh69evNy29+OGHHxIREcHcuXMBmDhxIv7+/lSsWJGUlBR++OEHFi9ezOLFiwvyMeQBGVt3LGvOrAGg+6ruzG4ym2odOxLz82KSDh3izCudKLnqt1x9SZon6g+EjDTY8HnmsvR5nGzPLStLC/wLOfJH//qcvpxAcQ8H7G0suZ6cxuGIWGysLPh23Un+OHqJpkHeFPd0oJy3M0fOx5GUmsG87WcASErN4NilawCcu5rIgbMxWe614XjmTP7T0QlUHrmGw6NewCKH+8SnpmcQdjkeC4MBKwsDxy9dIyImkdT0DPafjWF/eAznY5Nue/7mE5fZfCJzef321YrxRbvK+f9nL/KYMxqNWf5eXYhN5OyVRGoG5NHgJhGRfzEmJnLs6Wr5ft+ye/dgcHDIcfu2bduaHYeGhuLl5cWRI0e4ePEiXl5eWc7x8vLi4sWLOb5HnTp1sPjXVkmxsbFYWloCMHPmTJo2bYq7e+ZWRk2aNGHmzJmMHj0ayEzwDxkyhE6dOtG7d29q1qxJo0aN6NatG0WKFDFds3r16nz44Ye0bduWqlWrmiWF7+T48eP89ttvbN++3TSwIDQ0lPLly5va/PHHH/z111+EhYXh55e5wtS8efOoWLEiu3btokaNGjl+H35+fnz11VcYDAbKli3LwYMH+eqrr7JNtq9bt46DBw8SGRlpWllt/PjxLF26lJ9//plevXrl+L43uLu7M3nyZCwtLSlXrhzNmzfnzz//pGfPnnh4eODg4ICNjQ3e3t5m5zVq1IgPPvjArOzWd+zv78+AAQNYtGiRku0PISXbRUREREQkf127BNu+gSthEHMGkmIhJty8jZ0bJMWYl7WZBk91yK8o5SF16dIlunbtyoULF3B1daVy5cqsWrWK5557DoALFy4QHn7z9yklJYUPPviAiIgI7O3tqVixIitWrKBZs2YF9QjyANlY2jCv6Ty6/tYVgB6rerC2/Vq8hw3ldIeOpJw5Q9TESXj165v/wVV7NTPZfm4XJMaAvVv+x/AvtlaWlPV2Nh072VpRq2TmbPgZ3bPOVGpTNfN/Bzctx6moeDKMRqLjk3GwseLy9WSOX7yGi701Rd3sWbDrLBuPR/GUn5spCZ+Ymk7JISt5pWZxHG0s8XWzp4KvC4mp6ZyMvE58cjpOdlb4udtzKCKWr9eeuOszWBggsIgzFXxduBqfQjkfFwo72VLB14WNx6OYsTmMlLQMftpzjp/2nGNFn2ep6KsBWyL3a9M/UYxZ+bdpJYnslPN2pqKvK4mpaZQu7ETdwML4uTvg5WxLQmo6CSlpONlamQbUWOXxyhciIgXt5MmTDBs2jO3bt3P58mUyMjJXEbrRX8luEGB2g5juZNGiRWaJa8CUaE9PT2fOnDlmW2516dKFfv36MWrUKFO7Tz/9lP79+7N27Vq2b9/OlClTGDNmDBs3bqRSpUqmc4cOHcrHH3/M4MGDsbLKWXrx6NGjWFlZmc2CL1euHG5ubmZt/Pz8TIl2gAoVKuDm5sbRo0dzlWyvXbu22fsLDg5mwoQJpKenm573hj179nD9+vUse9wnJiaalvvPrYoVK5rdx8fHh4MHD971vOxWCfj555+ZOHEiJ06c4Pr166SlpeHiotWaHkZKtouIiIiIyIORngq/jwDvIHAPACcv2DgODiy4+7m3JtobD4dn+2fuoyxPvH/vMfhvs2fPNjseOHCgRv4/Yap4VWFh84V0XNERgF9P/cqrT72KS/PmxK1YQfTUqTiHNMba1xerf32x9kC53Ni6wAifl4Dqr0OFVhBQ75H7983R1opKxbJJWFe++WPTSuZbNTSasJ5TUfEALNj5rwFWd2BhyPwi2tLCgIONJTEJqdQtU4g6pQpRxc+NysVccbTN/uut2iU9+c8LZXlx8hYORsQC0PzrzTQoW5j3GpXBwgCVi7lhmcOZ9iIPs4SUNAwYsLexvHvj20hKTWfLicv8dugi+8KvYmEwUK2EO1WLu+FiZ83kdSc4fD6Op4q5cuBc7F2v9/fFa/x98Zrp+MYAGgsDZNxm+9xi7vbYWllwNSGV1lWK8mwZTxqW9dKqFCJixmBvT9m9ewrkvrnRsmVL/Pz8mD59Or6+vmRkZBAUFERKSgre3t5me5LfEBUVZTaj/G78/PwoXbp0tnWrV68mIiKCDh3MB62np6ezZs0amjZtairz9PSkffv2tG/fnrFjx1K1alXGjx/PnDlzTG1u7AWf00Q7YNov/U7/jt9ugMGt5RYWFln2Xr/f/cszMjLw8fHJdqn6WwcD5MaNd3SDwWAwDbK4E0dHR7Pj7du307FjR0aNGsULL7yAq6srCxcuZMKECfcUlzxYSraLiIiIiEjey0iH+e3g1Prs64tWhzLPQ8JlcCmamZh/uhs4eMLl43D9IjgVgSIV8zVsEXk8VCxUkZcDX+bH4z+y48IOXg16Fd8vPid+61bSr17ldPuXwdoa76FDce/wcv4FFlAPwjZm/rw7NPMD0H42VGyTf3EUgD/71+f4peus/TuSz1f9jZWFgbT/ZdtKeDrg5+7A7jNXcLW3xsHGCncHa/w8HPioeXncHWywNBhyvPz8rQwGA8vfe5bfj1xi5LLDRMQksv5YFOuPRZnaPFXMlZ9618HGSrNqH3dHL8Tx17kYzkQnYGtliaOtJa72mb9r1Uq4c/l6Mr8fucT/7T9PVT832lUvRjlv8xlkSanp/H7kEvbWlsSnpHEqKp7wKwl4OdtS3NOBjAwj8Snp+LjaUdjJljqlC+U4vujryczZdoZ/Ll3jWlIa52MScbG3ple9khRzt8fXzZ5CTracirrO9lNXOB0dz77wqxyKiCMxNR0nWyu+eaUqZYo4UdjZlrR0I5evJ/PXuVgOnY/lQkwS8clp/Pl3JHVKeVLW25mibvZcT05j68loTkRe50p8illM/0ReZ+Gus2ZlNxLtwSU9qVrcjZ/3nCPyWjJtny6Gp5MNFgYDlYu5cjLyOtZWFqz464JpwAvcPtEOmVtS3DBzSxgzt4TR8ilfvu5YRQl3ETExGAy5Ws69IERHR3P06FGmTp1K3bp1Adi8ebOpPjg4mNjYWHbu3EnNmjUB2LFjB7GxsdSpUydPYggNDaVjx4589NFHZuWfffYZoaGhZsn2W9nY2FCqVCni4+PvO4by5cuTlpbG7t27Tc957NgxYmJiTG0qVKhAeHg4Z8+eNc1uP3LkCLGxsaZZ+4ULF+bQoUNm196/f3+W5Pb27duzHJcpUybLrHaAp59+mosXL2JlZYW/v//9Pmqe2rJlCyVKlDD7sztz5kwBRiR3omS7iIiIiIjkvZ3TbibafZ6Caxfh+iVw9IJn+tx5v+IiFTI/IiL3oVP5Tvx4/Ee2nt9KXEocLjYuFHrvXS59/Elmg9RULo4YgV2F8tjfsjzmA9XxvzC2WNbyn3rA5X8y93Z/TBkMBsp6O1PW25ne9UuSnmHE0sLA1YRUPBxtHvj9n6tQhIZlCzNv+xlWHrzArtNXTXUHzsXy6YojjGoV9MDjkLx1Kuo6p6PjqeHvgbOddZb6q/EpXIxL4lJcEl//+Q97w2NyfO09Z64yY3MYpQo7Ym9jyfWkNAo725r97uSUjaUFfh729Glchhef8sVgMGA0GklNN7IjLJrtp6LZeyaGveFXSU7LOvvt7fl7gcxFMJxsrbiWlJbtfa4np/Hq7F05imnryWi2nozOUu7haMPzFYrwQpA3564kMOz/Dmd7/uK3gqlWInNP9oFNyt3xXr3rl2LLicsUdbPHyc6KmIQUCjvZ4WRnxfXkNJLT0vn1wAWsLA0EFnEmKTWdTf9c5kx0An8cvcTyA+eJS0ylxzP+eLvYUbaI8z0NvhERyU/u7u54enoybdo0fHx8CA8PZ/Dgwab68uXL06RJE3r27MnUqVMB6NWrFy1atKBs2bI5vk90dHSWPd7d3Ny4du0ay5cvZ9myZQQFmf9/nO7du9O8eXOioqLYsWMHCxcupGPHjgQGBmI0Glm+fDkrV65k1qxZ9/EGMpUtW9b0nNOmTcPKyoq+fftif8sqASEhIVSuXJnOnTszceJE0tLSePvtt6lfv75pefVGjRoxbtw45s6dS3BwMD/88AOHDh2iatWqZvc7e/Ys/fv3580332Tv3r188803t50NHhISQnBwMK1bt+bzzz+nbNmynD9/npUrV9K6detsl3bPL6VLlyY8PJyFCxdSo0YNVqxYwZIlSwosHrkzJdtFRERERCRvxZyFP/+XzGr6BdR6E4zGzNnuluqCiEj+KOlaktJupTkRc4LmvzRnU8dNuL/8MmkXLuJQqxZRkyaRdPAgp9u/TLnDhzBkM9slz9k6w8j/ze5MS4azO2BOy8zjdZ+CjSPUfvuRW1Y+twwGA1aWmc+YH4n2G6wsLXj1mQBefSYAgPjkNHr/sIdN/1xmzrYzeLnY8U7D7JdhlYIRdS2ZfeFXsbO2xMbKAhsrCyKuJrL/bAxbTlw2W6IcoJCTLZevJxNYxImk1AzCryRkuWZQURcqFXUjNjGFI+fjcLS14vD5m/uOO9la8UpNP05FxfPn35GcjLo5q+909M3rlSzsyJX4FGwsLfBxtaOYhwNXrqfgaGvJgXOxxCenkZCSDkBKegYno+J5f+F+3l+4nyIutiSlZhCbmHX520JONrz4VFEq+LpwMTaRU1HxHDofS2xiKpfikrmWlIbBkDmrvKy3M/6ejjxTuhAONpa0+34r52OTzK5nZWGgtJcTNQM88HN3wIiRyLhkElPTuZ6cxqGIWKwtLXC1t+bFKr60q1YMW6ub/x52qV2C5LQMwi7HU7aIMxlGI0bAOpf7qz9zywz/Qk62pp9d7a0Ba157NsCsfYOyXgDM3Xaa4f93mA3Ho9hwPHNFCncHa3rWK0mX2iVwyWaQhYjIw8DCwoKFCxfSp08fgoKCKFu2LF9//TUNGjQwtZk/fz59+vTh+eefB+DFF19k8uTJubpPSEhIlrIFCxYQERGBo6MjjRs3zlLfsGFDnJ2dmTdvHq1bt8bBwYEBAwZw9uxZbG1tKVOmDDNmzKBr1665e+jbmDVrFm+88Qb169enSJEijB49mmHDhpnqDQYDS5cu5b333qNevXpYWFjQpEkTvvnmG1ObF154gWHDhjFw4ECSkpJ47bXX6NatW5b90Lt160ZiYiI1a9bE0tKS9957j169emUbl8FgYOXKlXz00Ue89tprREVF4e3tTb169XK1lP+D0KpVK/r168e7775LcnIyzZs3Z9iwYYwcObJA45LsGYz/3uQgB+Li4nB1dSU2NhYXF5e7nyAiIiIiIk+GuPPwQzuIPAzFg6HHSrDQsrxye+pf3h+9vzubcXAGk/ZOAmDqc1Op43tzSc64334jol9/ACwLF6L0H39gYWub7XUeqCth8HUV87LmE6DGG/kfyxMoPcNIi282c/RCZrJ1RMsKdKjhh4ONBofll6TUdGITU3G1t2bJvgj+OhfLqajrhF2OJ/Ja8n1f383BGg9HG+ysLOlUqzhdapfI0uZE5HWW7ougbbVieLvYmfY9P3slgT1nruJib0VsYipX41Op6OtCpWKuOfodibqWzKGIWCKvJbF4bwQ7w65kaVPIyZb6gYWp7u/O08XdKePldNtZ25fikjh3NZHShZ1wdciaZE5KTefohThKezmRkJKOs53VY/G7vC/8KlM2nGRn2BWuJtwcoFDUzZ6RL1YkpLz2dBd5nCUlJREWFkZAQAB2dnYFHY7II+9Of6fUv7w3SraLiIiIiEjeOLMNfn4Vrl3I3Hv9tdVQqExBRyUPOfUv74/e3911/LUjh6MP4+Xgxe/tfsfCcHMA0PmPPiJ28S+mYxt/f0qt+i3/g0xLyVxePv2WxGLLr8H/WXAsBHau+R/TE8RoNNJ4wgZOXc6cwfx8hSJM61Zwy4Y+qjIyjJy6fJ3+Px7AzcGGtPQMImISmdWjBlcTUgm7HM+Sfefw93TEztoy25npt1Paywmj0UhyWgZuDtYEejnzTOlCPFumEB6ONvx+5BKnoq7jYGPFlfgUirjY4l/IkcrF3P43c/rhcDU+hSsJKVyKTcLW2oIiLnb4uNpjqSXRcywmIYWf95xj4h//cD05czl9SwsDz5YuxHuNSlPM3YEiLrZKvos8RpRsF8lbSrbnPSXbRURERETk3iVcgQ2fw/HVcDUss8y1OPT4FdyzzhwT+Tf1L++P3t/dJaYl0vDHhsSnxhP6fCg1fWqa1Ye91JakI0dMx/6LFmL/1FP5HWamNUNh6zfmZTZO0G1Z5uAlO/0ZPygnIq/TZcYOLsbdXIJ750eN8XLWl/q3cyLyGuuPRXH4fBxL9kXkyTU9HW1oU7UohZxtSUnLoEVlHwIKOSpxKllcS0pl8roTzNpympR/7XPv4WhDBR8XirjYUaaIE22fLkZh5wJYuURE8sSTmmzv3bs3P/zwQ7Z1Xbp0YcqUKfkcUfY2bdpE06ZNb1t//fr1fIwmb1WsWJEzZ85kWzd16lQ6d+6czxHlDSXb856S7SIiIiIiknvpqbD9O1j/GaTesh9q+Reh1bdKCEmOqX95f/T+cuaTbZ/w4/EfAdjZeSf2VvamuvRr14gODSV6ylRTWemNG7D28sr3OIHMWe7z20LYxmwqDTA0Eqzyb5/zJ837C/fxf/vPm5VZWxr459NmBRTRwyUuKZUZG0+x5silu85Kd3ewNlvy+99eeroo5b1dqOjrQqn/LXtezN0+13uBy5MtOS2dU1HxTPrjH/aEXyX6ejIZ//q228/DntGtK/Fs6UKkpmdwNSEFZztrHKwt2X3mKrvPXMFohC0nLlOqsBPFPRy4EJvEr3+dJ/JaMr3qlWRIs/IF84Ai8sQm2yMjI4mLi8u2zsXFBa+C+v+q/5KYmEhExO0H3ZUuXTofo8lbZ86cITU1+/8vU6RIEZydnfM5oryhZHveU7JdRERERERyLiUe1o6Gv36EhMuZZW4loNEwKFwWvCuBZp9JLqh/eX/0/nLmYvxFWi5pSVJ6Em3LtGVknZFZ2qRFRXGiUWOMqalgbU3ZnTuwsLfPerH8kngVDi2GFQPMy528of8RsLAsmLgec1fjU3h56jb+icw6C+vUmGa33Uv7cRefnMa3607w3fqTZuX21pm/h+lGI0OalqNTrRLYWJkny89dTaCQky12/2ubkWF8Yt+jPHjXk9PYeuIyVxNSuBCbxJytp+846CM33qxfkqJu9jjbWRF9PQWDwUDDsoXx83DIMkjkxrYHN37v7yQtPYPo+BSOX7qGr5s9GRlGdp+5ioONJdeT03iqmBv+hRyJTUzl2MU4Iq4msmRfBHvDYyjh6YDRCHbWFjjaWlG5qCulvJzwcrYjJT2D8zGJ/HboIgfOxvBS1aL0eMafir6u2rpAHilParJd5EFRsj3vKdkuIiIiIiI5c+kILH4dIv+33LK1I5RqCK2/10x2uWfqX94fvb+cm3pgKpP3T8bSYMmy1sso7lI8S5uo777j8tc3l3EvNuV7nBs0yMcos5ESn7mayLJ34ejyzLI678Hzows2rsdcUmo6ByNiaT9lm1m5j6sdU7pU4yk/t4IJLB+djLrOl78fZ8VfF8zKi7rZ8+oz/jSt5ENRtwIckCKSAxdiExnxf4dZfyyKlPSMLPUWBqhTqhB21pZYWxpwsLEiMTUNL2c7DkXEsjf8apaZ8tnxcralqLs9+8JjAPB1teN8bBJuDta0rlKUVlV8KVnYCTtrC6wsLDAAh8/HMWPzqSyraeSHwU3L0aOOf44GA4gUtBuJQX9/f+wLciCkyGMiMTGR06dPK9meh5RsFxERERGR20tLhq1fw9ldcGYLpFwHB0+o9x94qiPYuxd0hPKIU//y/uj95c4ba95gx4UdAAS4BvBVg68o5VbKrM3FMWO4Onee6bj47Nk41q6Vr3He1pyWN5eXL/EstJ0BLj4FG9PDJmIvrPoQ3P2hSicoHnxfy+4np6XTYNx6LsQmZak7NroJtlaPT6LKaDSy72wMPWbuJC4pLds23YJLMKJlRc2KlUdOeoaRs1cSSExNp2wRZ5LS0olPTsfJ1gp7mzv/Pd78z2W+XvsPGRlG/r54DRsrCyoVdeVE5HUiYhJzHYvBAFYWBlLTzb+Wt7O2IC3dSNr/svs2VhaZs9uT0kxlxT0cCCzihJuDDTvDrjCiZQWsLS1INxq5cj2Fw+fjOHw+lqTUdGytLfF1tSM6PoVN/1wmsIgTxy+Zr9oRVNSFN54tiY+rHRWLuuJoY0lsYirJaRk421lhb21JWoZR2ztIgUpPT+f48eN4eXnh6elZ0OGIPPKio6OJjIwkMDAQS0vz/waqf3lvlGwXEREREZHsXbsECztBxO6bZSWegXYzwdm74OKSx4r6l/dH7y93Fv69kE93fGo69rL3YmXbldha2prKMpKTufzd90RPvbmHu+tLL+FYqyaurVrla7xZxEfDuJLmZQPDwMGjYOJ5WESfzFx55fy+7OuLVIJ2oZnbndyDjAwjO09foeO07Vnqtgxu9FjM7v5l7zn6/3ggS3lRN3tGtwmibBFnCjnZZlkiXuRJl5CSxqZ/LhN1LRkXe2uiriUTeS2JIF9X/D0d+c/PB/j74jXcHayzLGdvZ22Br6s9zSv78OozAbjaWwOYBrPc2HIhLikVYwbYWlvc90z0g+diWbArnP/uCM9Re2vLzEEBrvbWvFKzOG2qFsXbxQ5XB+v7ikMkty5cuEBMTAxeXl44ODhg0NZlIrlmNBpJSEggMjISNzc3fHyyDtpV//LeKNkuIiIiIiLm0lLgr0Ww9hO4fgnsXCH4PSj6NJRsCBb6ol3yjvqX90fvL3eS0pL4Zt83hMeFs+PiDhLTEhlUYxBdKnTJ0jYjMZFjVZ82Kys+MxTHOnXyK9zsGY2w+A049PPNsmHRYGlVcDEVpJPr4KcekBRjXl6qMZxaB8Zblo1u9S1UzfpnnRtGo5GWkzdzKCLOVPbjm8HUDHg0BzxcT07js9+O8sN288Sbk60Vi9+qQ2ARJyU0RPKA0WjkQmwSdtaWJKWmYyRz6fmCmjH++5FL9Jy7++4N76BJRW8SUtOJT06juIcDyWnpuNhZE5OQSnApT16pWVwDdCTPGI1GLl68SExMTEGHIvLIc3Nzw9vbO9v/j6f+5b1Rsl1ERERERCD5Glw8CHZumUmLy8cyy92KQ9el4FnqDieL3Dv1L++P3t+9+3T7pyw8tpDC9oX5vd3vWFpknS0Yu2wZ5wcOMisrs2kjVoUL51eYt7ftO1j94c3jkbEFF0tBMBphxxRY/REY08HGCZp+AWWeAyevzDbpqZn/Tfv715vnFa0O3ZeBjeN93X7GplOMXnHUdLzs3WeoXMztvq6Zn9IzjPz613m+WHXMtAy2j6sd89+oRREXOxxtn9DBGyJPsPjkNBJS0omISSSgkCMJKWmkZxixs7Zkw7Eopm48yenoBFLSMu5+sVvMfa0mT5dwxymH/66cvhyPpYUBPw+He3kMecylp6eTmpp694Yiki1ra+ssS8ffSv3Le6Nku4iIiIjIk+yvH2HzVxB5JGtd/cHwzPtgoy+65MFR//L+6P3du7DYMF5c+iIAtX1qMyVkSrYJd2NaGinh4Zxq1txU5t65M0U+HIzBqgATkulp8GV5iI/MPC7ZELothatn4J818HQ3sLK94yUeWWnJsKI/7Psh8/ipTtDiK7C2y7798TXw3/bmZbXegsKBme/NI+CewtgbfpWXvttqOt46uBG+D/GS8kmp6Xz1x3GmbjhlVu7rascnrYNoXL5IAUUmIo+SuKRU9oXHsC/8Kj6udhgMBo6cj2P21tNUL+GOm4MNfxy9ZHaOrZUFgUWcqeDjQu1SHrSs7IvVLbP6o64lM2PTKSKvJfN/+yPIMEIFHxeGt6xA7ZLao1tEJL+of3lvlGwXEREREXlSnVwL/+0I6cnm5UUqQccfwN2/QMKSJ4v6l/dH7+/+/Bb2GwM3DjQdz2s6jypeVbJte33TZi4MG0baxYsAuL3SEZ8RI/IjzDsb6Xr7uu6/gkdJcPYGC8vMBH1qPESfAMfC4FIs+61B0tMgPgpc/rePY0YGXD4OYRsyz4uPgmo9cp7MNxohPSVvkv/XI2FRVzi7HQwW8PxoqP023G2p84x0+H04bJuctc7GGT44fk+Dy05EXiPky41mZTuGNKaIy20S/wUkPDqB3j/s4ciFm8vf21hZ8MazAbxZv5Rpr2gRkbxwPTmN4UsP8cu+COytLUlMTc+2nZtD5rLzd1K7pAetqxSlnI8LFX1dSE7LwMrCcN/714uISFbqX94bJdtFRERERJ5ER/4Pfn4dMlIhoF7m0ruFy0FCNNh7aF92yTfqX94fvb/79+LSFwmLDTMd/9Xtr9vuUW1MT+f8wEHErVgBQKE+71H47bfzJc7bij0HX1W8t3PdSsBzoyDyb4jYAyd+z76dtWNmkv7fApuArQukXAd798zrXQ2DUxsgKTbznEKBmYl6yNwvvdW3OY/v9BbYOQ2uXwKvCnB+H5zfm1ln6wrtZ0LpkNw9c/J1WD8W9s6F5JuJZ8q3hA4/5O5a/3MoIpb2U7aZkkklPB3Y8J+G2bY1Go0s2nUWI9Cxht8D3w99/9kYOk7bRlJq5rLPrvbWtH26GJWKudCoXBEl2UXkgTMajRy5EMfJqHj2nrnKnG2nuVNGomRhRz5+MYi5206z5silbNs42VrRLbgEvm721ArwoEwR5wcUvYjIk0X9y3ujZLuIiIiIyJNm3w+w7D0wZkCF1vDSdLCyKeio5P/Zu+v4uKr8/+Ov8bgnTZOmSd0p9RZ3t2KLFVm+sCws8mNhsd2la8gaLLbA7uIOxYpLaYG6Ude0kcbdJuP398eFlFCPTZK+n49HH+SeOffO5x4q85nPPeccpJRfto/Gr/2qmqs45o1jWo5nTpvJeUPP22P/kNfLprGHthznvPE6kYcc0okR7qcdy6GuELKmQMVGeOc6aCwNd1S7Ove/0Gek+WBXTZ65hHvRCnO2vd0FWZPNmfRz74OtX+z+GgnZcNksSBnS/nheu3Tnnu6HXgbnHMDDAD+ysqCGv326iQW5VQBkJkTy0c1HEuuy4wuGsFjgzWU7ePDjjTR4Ay3nJUc78QVDNHgC3HLCEE74fil3u81CfXOAkRlxxLjs+AIhPl5bQn2zn4k5Sbh9ATISItlU2sCS7dV8uKaE/Co3k3OSqGz0sq1y14cjDs1K4PFLx5PZjZe6F5Heb2FuFSsKakiIcjA8PZbYCAdOm5Xs5KhWDyAZhkFelZvHv9rKW8t37Ne1J2YncuHELC6Y2K/TH2YSEemNlF+2jYrtIiIiIiIHk4WPw6d3mz+PmwFn/stcWlgkTJRfto/Gr+P8a8W/+O+a/wKw/LLlOG17fggp1NTEpgkTW46HfPsN9pSUTo/xgAW8EAqYM9e3zwObw5yN7msyl5Z/cTqUrzf7jr/cnPUd8MDg480++QvAGQNjL4YBR4LVbi4Jv+VTKFllLinvrTeXYW+uhtI1ENPHLPivexsKF8OQkyE+E775R9vuIedISB1mxuFvNrdAueJ9iMvomDEKBuDPqeYDaABXfwH9Ju57Wfo9OOmheWwua+yY2ACrBcb0S6C4tpmKBu++T9gNm9XCL44ayK+OG0yU095hsYmIdBW3L4DTZuWLDWVUNPqwWSwsy6umrMHD/K1Vuz3n2qMGMm1gMoPTYshKOvBtQkREDkbKL9tGxXYRERERkYOBYcDcB2DeA+bxtF+Z+9xqxoeEmfLL9tH4dZwmfxNHvHoEASPAUf2O4vHj9z7D2b1sGfmXzQAg+ZprSLnxV1idPWyVEMMAvxuc0Z3/Xt8+DF/sYY/7qBSzcG8EzSK/rwnSx8Chl8IhP+v8rU2CfvjTjx6WOPxmOPGPbbpUKGTwxrJC7nx7zW5fP3dcJvecPoK8qibO+/dCThiRhtNupbzey7L8mpZ+NquFaKeNek/rWfARDhtFtc2trjmsTyxRLhtri+q4bGo2I9LjWJ5fQ3ZKFMcP78OwdC2vLCK9V02Tj+cX5vH15gpWFNTutk9mQiRHDU3hsEEpJEQ5iI90kB4fQWqMSzPgRUR+RPll26jYLiIiIiLS2xkGfHoPLPq+cHTsb+Go21Rol25B+WX7aPw61i1f3cKXBV8C8PoZrzMyeeRe+9d/9BFFt/665TjhwgvBZiVi5EgSzj+f5mXLsDidRI4d26lx9yi+JnMv9voiGHAUVG6BISeGf5WV7V/D82fuPL5mDmROaPPlPP4gC7dVEQgauH0BXHYbUwYkkRi95wcymrwBSuqayU6OxmGz4g0E+b/nl/HNlkpuO2koVx0+gGiXHX8wxNbyRgqr3Zwwog9Wq/49FxH5QV2zn4W5lby1vIgdNW42ljbstb/VAueO70dKjIuNpfUYBoQMg7TYCDISIqh1+9la3siUgUms3lHH0UNTyU6O4o1lhVw+LYeyeg9Om5WspCjiIhzERNiJjbDjsHXyg2IiIp1A+WXbqNguIiIiItKbBbzmsvFLzaWROeVBmHpdeGMS+RHll+2j8et4Y54fA8Ck9En876T/7XXGmxEIsGn8BAyfb6/XtMbHM2DWWzj79evQWKWDhULwl3QI/mi59rEXw9mPh/9hABERaZPCajfrS+r5fH0ZhdVu6pr91Lh9lDd4OfDKyP5z2a1kJkQyvG8sZx6SwYDUaCyYnykMDKKdZkHeabcSMgxSYlydF4yIyH5Sftk2KraLiIiIiPRGRcth0yew8kVoKDHbznoMxs8Ib1wiP6H8sn00fh3voeUP8czaZwCIdcSy4JIFe+0fbGjAvXgx5f/4J8G6OoLV1bvtF3fmmWT+7a8dHq90sILF8MxJu7bfXdw1y+2LiEiX8AaCbC5t5IsNZRiGQXGdh2+2VHD44BQOzUpgR00zvkAIbyDIq0sKGd8/gTVFdYztl9Bq248f9Ilz0eAJ4PYF2xRP/6Qo4iMdxEXaSY1xMbxvHP0SI8lIiCQpyklmYmSr2fKGYRAyzG1HREQ6ivLLtlGxXURERESkNyleCR/+2iy2/yA6DU77K4yaHr64RPZA+WX7aPw6XoOvgcNePazl+LIRl3HH5Dv2+3wjGKTknt/StHAhmQ/9k/oPP6Lm5ZexuFwMX/VdJ0QsHa4mHz65CzZ92Lr9nlJwRIYnJhER6XZ+KHhbLbSshBMIhmjyBqn3+NlQUs+Ha0pYvaOOBo+/1Uz6Bm8AXyC03+9ltcDQPrEcNiiFlFgnf/1kE2AW6Q/pF8+wPrGcO6EfmQn6d0pE2k75Zduo2C4iIiIi0huUb4Qv7oXNn+xsyzkSDvkZjDwbIvS5Xbon5Zfto/HrHCEjxNgXdu6zvmLGChxWR5uuFWxoYPPUaRAM0v+Z/xF92GH7Pkm6jzl/hq//tvN46g1wyn3hi0dERHqNYMjAFwhR2eilrN5DvcdPaZ2XtcV1FNU0U1rnodEboLiueb+WvHfarFw4qR8XTerP4LQYIhzaAkVEDozyy7ZRsV1EREREpCcrW28WAn48+27k2XDc7yFlcPjiEtlPyi/bR+PXeTwBD5NengRAWmQaz57yLP3j+rfpWrmnn4EvNxeAwV/NwdG3b4fFKZ3MMODpo6FkVev2C56HUeeEJSQRETm4BEMG2ysbWZ5fw+ayRlbvqKW41kNmYiQzpmaTW9HInI3lrN5R13JOpMPGJVP6c9LIPkwekNQy815EZG+UX7aNiu0iIiIiIj3Rpo/h83uhctPOtvgsuOhl6Dt2z+eJdDPKL9tH49e5Zi6YyawtswAYlTyK1854rU3XCVRVseXwIwBI+81vSP75VR0Wo3QBw4D8BfDcaa3bL5sFg08IT0wiIiI/YhgG8zZX8NAXW9hc2kCzf+fe8QNSojlicAp94lykx0fS7A9SVNPM5dOyydCy8yLyI8ov20bFdhERERGRnmbVa/DuL8H4fo+//tNg4DFwxP8DuyusoYkcKOWX7aPx61z+oJ/7l9zPm5vfBODPh/+Zswef3aZrVf33v5T//R9ETZpE9osvdGSY0pU2fACvX7rz+JI3YOjJ4YtHRETkJwzD4O0VRXyyrpS5m8rxB3dfAkqJcXH3acMZ1z+RASnRXRyliHRHyi/bRsV2EREREZGeZMMH8PplgGHuyX7Wo5A0INxRibSZ8sv20fh1jeu/uJ5vir4BYMVlK3DYDnz/dl9BAbknnQw2G8OWLcUaqZlkPVb5Rnj5AqgrMI+nPw1jfxbemERERHajzu3njWWFfLmxjNyKJtJiXYQM2FBS36rfWWMzOOOQvgxOi8HjD5ES4yQtLiJMUYtIuCi/bBsV20VEREREeopNn5iz6UIBGHsJnP04WK3hjkqkXZRfto/Gr2tsqt7E+bPPB2BI4hD+euRfGZw4+ICuYRgGW6ZOI1hXR+ZD/yTu1FM7I1TpKj43/HMEeGrN418ugD6jwhqSiIjI/iqr9/DSonzeWVnEjprm3fZJi3WRkxLN1IHJHDc8jdEZcdhtyj9FejPll22jvxlFRERERLq7hjL48k/w6s/MQvvo880Z7Sq0i4h0iWFJw3j4mIdxWB1sqdnCNZ9fQ5237oCuYbFYiBw3DoCS399LsKGhM0KVruKMgptXgeP7ZXdfuwSaqsIbk4iIyH7qExfBr08axje/OZbHLhnH6WP60i8xEpfdSqzLDkB5g5cl26t55MstnPP4fAbf8zEPfrKRotrdF+dFRPampqaGGTNmEB8fT3x8PDNmzKC2tnaP/f1+P3fccQdjxowhOjqajIwMLr/8coqLi7su6P2kme0iIiIiIt2NrwlWvAhN5bD9G9ixZOdrI8+Bc/8DdmfYwhPpSMov20fj17XWVa7jog8vAuC8Iecx87CZB3R+47fzKfy//2s57v/cs0RPndqRIUpXq8qFp44CXyNggelPwtiLwh2ViIhIu5Q3eNha1si2yiY+X1/GvM0VLa85bVZuPWko1xw5EJvVEsYoRaSjdWZ+eeqpp7Jjxw6efvppAK699lpycnKYPXv2bvvX1dVx/vnnc8011zB27Fhqamq45ZZbCAQCLFu2rENjay8V20VEREREuoumKlg7CxY9ATXbW78WnQqnPACjzwOLvtCQ3kP5Zfto/Lre6xtf58+L/wzAI8c+wrH9jz2g80vunUnt66+3HGc+/DBxp5zcoTFKFytbD/89Hvxu8/iC52DU9LCGJHvQWA6Ln4SVL0Fjmfn5qqkCYvrAhCvNrQCqt0HRchh4rPm5KzKh9TVCQfA3Q8ALUUlm/6DP/P+fkAN2FzgiwWoLww2KiHSOQDDEcwvymL26hFWFtQAMSo1m8oAkMhMiCYbAabdyzLBUBqXG4LRrFTaRnqiz8ssNGzYwcuRIFi1axJQpUwBYtGgR06ZNY+PGjQwbNmy/rrN06VImT55Mfn4+/fv377D42kvFdhERERGRcKotMPdir9gAq14Hf1Pr1wefCKfcDylDwhOfSCdTftk+Gr+u5wl4mPTyJAAGJwzmrTPfwnaARbWmJUsouPwKAOzp6eS8/hqOPn06PFbpQls+h5fP33n8u0qwOcIXj+xUvR3mPwz5C6E2HwKe/T/X6oCMQ2HAUVC2DhKyYclT+3euzWmeH5UEI88GZ4y56kHSgN33D4Wgaits+wrc1dBcDfXFZuF+0jUQn2k+HGB3QW0hFK+Auh1QtML82VMPSQPh4lchOmXndX1uKF8P5RugoQSMkPl7M6YPYIHkQeYDBwEvlK6G+f+CuH7mdkU2Fww5CSb/H8Skm+9ttZmxVmyEku/AXQXDTzff+8cMQw+IivRCoZDBi4vyue+jDXgDod32cdqsHDEkhfT4CJw2K+tL6qlz+5k6MIkx/RKIcFgJGRAbYSc1xkV6fAQpMa4uvhMR2Z0f8svCwsJW+aXL5cLlavuf02eeeYZbb711l2XjExISeOihh7jqqqv26zpffPEFJ510ErW1td0q/1WxXUREREQkHEpWwZo3YeETYAR3ttsjzFlUU38J6WPCF59IF1F+2T4av/Aod5dz+tun4wl6ePS4Rzkm65gDvoavsJC88y8gWFdH9BFH0P+//+n4QKVr1eTBv8buPP75p9Bf2wQcsOZacwa6uxK8jRD0giMKIhIgfTRUboG8b6FsDZSuBYsVsg8zC+KJA8xiursSStfA+vfMWeo/1m8SZIyHYacAFqjcDJs/gdw5ZnE5bYQ5w71wCVRt2f+47ZEQ2I99jJMHmw9Txmeas+urt5v3W74BfA17P9cRZRbxPbUdF09HsVhh7CXQXAObPoS4TBhzPsT2hfoic6WAwcd3XTwi0qkqGrx8tamclQW1eP1BfMEQX2wow+PffQF+X8ZmJZCZEMGwPnFMHpBEjMvOkD4xRDi0SohIV/ohv/ype++9l5kzZ7b5uvfddx/PPfccmzdvbtU+dOhQrrrqKu666659XsPj8XDEEUcwfPhwXnrppTbH0hlUbBcRERER6Uq+JnhsMtTv2NmWNsosrCf0h/GXQ0JW+OIT6WLKL9tH4xc+MxfMZNaWWQAsvmQxUY6oA76Ge8VK8i+5BIDEGTNIv+fuDo1RwuDrv8GcP+/aPvBYs8ga3w82zIaIOLjs7Z4589fvMWddu6vNQnjlFnOlnoZS83POpo/MpdZj0swHEM77L+Qcac6u3vihOaPaCMKOZeY5rhizf8BjzrxuqtjLm1uAA/4qEyw28z0vfw8GHL1/424YsPAx8wFJixVWvw6DjoO0kTDkROh7qFlEThpovm53mfdvsZpLyzeUQlUulK8zf978yb7f84dif+ow8/eKYcD2eeb1PPU7H9C0WCH9EHOWfMpQM6bmGvjglt1fNzoV+ow2C9/N1eYYRyaZxf7S1Wa7PcJcHj91GIy5wPw8uuVzcwx2P6iQNRkKF+/7vn5q7CXgjDLvq/80iE034xl0nNkuIj1WKGSwaFsV64rrcfuCuP0B+iVGYQEWbquiutFH0DBo9gWpbvJR6/bR5Avu9lqRDhsTshM5YkgKP5uYRWK0s2tvRuQgdKAz22fOnMkf/vCHvV5z6dKlfPbZZzz//PNs2rSp1WtDhgzh6quv5s4779zrNfx+PxdccAEFBQXMnTu32+W+KraLiIiIiHSFgBfmPQjf/KN1+3n/M2f9iByklF+2j8YvfNZVruOiDy8C4M7Jd3LpiEvbdJ3cM87AtzUXgCELF2BPTOywGCVMCpfA/07cv76JA8wCc8ADk38B0643lyrvbkX46u2w+VPInw+bPoaQv3PfzxUPEfFmbd3mNIvx9cVmcR/MBxdSh0Nchjn7fdUrP7mAxZzpPvJsc4nz2PTOjXd/GAZs+cwsMFdtBU+dudd75gSIzYA+I83C+Z62HwiFzNn8Prc58z5iN3/nV+WaDwWkDjOv63ObS8rHpO05rlBw7/vL1xWZD1OUrzMfLHjnOrPIfuYj5hL5vib48o/m/YFZwC9eYf4c1898700f7/x/tzfOGMg5wnwgIy7TXLEga7L5IIOI9FrbKhpZW1xPeb2HBblV5FY0UtXoo9EbaOljtcC0QcmcNDKdqQOTSYxykBzjwmbtZv9eivRwB5pfVlZWUllZudc+OTk5vPLKK21eRt7v93PhhReybds25syZQ3Jy8n7dS1dSsV1EREREpLNVb4O3rt75xSPAYTfBSX8KX0wi3YTyy/bR+IXXs2uf5Z/L/wnAE8c/weGZh2O1WA/oGr7CQnJPPKnlOPvll4iaMKFD45QwMAxz+fLS1eZe4Z46c9nw4pXmr/2RkA0jz4Jj7jZn+wb95ozmvRVG2xprwSL45E5zhrSn1iyuNtdCv4nm55jS1fu+TlwmDDsNln6/JULSIKjO3XP/8ZdDnzHgijULsTanWUBPGWrOdv+pUNCMK7YvOCJ2/7rFahZ/d3e+hE/AZ/7+iuv7/T70UeavouWQ+6X5e702f/fnxmWaqyNkH9a1MYtIWAWCIdYW17Mwt4rXlhaQX+XepU9KjIuzxmZw5NAUDsmMJ1n7vou0W2fllxs2bGDkyJEsXryYyZMnA7B48WKmTp3Kxo0bGTZs2G7P+6HQvmXLFr766itSU1M7LKaOpGK7iIiIiEhnMAxzP9GaPJjzJ3OWD8CJf4Rpv+r4L8pFeijll+2j8Quv5kAzx71xHI3+RgAsWMiOy+aQ1EO4d9q9zC+aT359PleOvnKv12lasoSCy69oOc785z+IO+20zgxdwi1vPjx3Ggw9FQYeY85YXrmXvSfTRprLsP9g9Plw9G/MGczBAHjrzSJ50sA9X6O2AFa9bu6nXbEJxl5sfj7ZsQwaS/cdc3QqTLgKhp5ibn9jd5pF1KAXytabM5B3NyPfUwdYdj8TW+QHnjrzs3NThbmSwvp3zd+zRgiikuGqTyB1aLijFJEwMAyDVTvqmLOhjDeW7cDtC1DvCezSb0BKNCMz4shKjCLaaSMnJZqMhAi2V7opqGpiXHYi8ZEOUmNcZCVpywqR3enM/PLUU0+luLiYp556CoBrr72W7OxsZs+e3dJn+PDh3H///UyfPp1AIMB5553HihUr+OCDD+jTp09Lv6SkJJzO7rO1hIrtIiIiIiIdLRSCD/8fLH+udfsvF5jLfopIC+WX7aPxC7/7Ft/Hqxtf3We/lTNWYrfa9/h6xRNPUPnIowC4Ro5g4Ntvd1iM0kP4msyi9coXzFnhrlj46Daz2HggftifPCLeLOS7qyHvm53te2O1Q+hHBYzhZ5jF9WGnQXT3W7JTernmWnjmFKjYAFjMB0SGnGD+fnREhjs6EQkjXyDER2tK+HJjOSvyayiua+ZAK11nH5rBsPRYMhMiiXTYyEyMZHh6XMvS9KV1HhbkVjK+fyI5KdGdcBci3U9n5pfV1dXcdNNNvP/++wCcddZZPPbYYyQkJLT0sVgsPPvss1x55ZXk5eUxYMCA3V7rq6++4phjjunQ+NpDxXYRERERkY7UXAMf3Q5r3jSP7REw+AQ446G975cpcpBSftk+Gr/uobK5khu/vJFoRzQBI8DysuW79Ll0xKXcOfnOvV7Hl5dH7imnAhB74onEn3M2kePGYU9K6pS4pQfYNs/cAz5pAPQdC4ufNJd8L1vbtutlTjSLlM21kDLE3Ce8/zTIGG8uVS/S3dQWwvu/gm1zd7bF9oWj74BDfqbftyICQEWDl3mbKyiqaabG7aPBE2BtUR1lDR6yEqNYU1QHQGKUgxq3f4/XcdmtJEWbs2VL6jwt7U67lRF943BYLRhA3/gIzjk0kxNG9tnDlUR6JuWXbaNiu4iIiIhIR6grghUvwLwHge8/Yp/9BIy7NKxhiXR3yi/bR+PX/RiGwb9W/IsvCr7g7il384vPfwHA+LTxPH/q8/s8v+LRx6h8/PGWY3taGoM+/QRrpGZxyo/UFkLlJsAC8VkQkwpbPje3sfG7YfOn5l7r/Saae5n7GmHqLyHniHBHLtI227+GtbNg08c7t2dKGQon3w+Dj9/9FgYiIrsxZ2MZ//x8M9MGJlNU20x1k4/qJh/bKpoIhA6sXNY/KYrUWBcuu5WpA5M5ckgKg9JiiItwdFL0Ip1L+WXbqNguIiIiItIea2fBgsegeMXOtti+cNxvYdxl4YtLpIdQftk+Gr/ub2vNVqa/P50oexTzL56/16Xkf/DjJeV/MOSbr7HGxmKNiOisUEVEuj9PHSx7Br66D4I+s83qgMzxMPFqSB8DyYPA7gpvnCLS4wRDBtsrm6hr9mO3WkiOcZKZEEmDN0BJrYcNJfW47FZqm/3MWr6DZfk1e7xWfKSDASnRnD+hHznJ0SRFO0mJcZIY7cRhs3bhXYkcGOWXbaNiu4iIiIjIgQoFYe3bsOiJ1kX2qGQ45UEYc75m14jsJ+WX7aPx6/4CoQDHvXEcNd4abpt4G1eMumK/z6167jnKH3iwVVv2yy8RNWFCR4cpItKz1JfAgkdhxfPmyg0/Zo+AxBzzvxnj4Ij/B4nZYQlTRHqvtUV1rCioYc2OOqwWCxvLGiisdlPd5NvreUnRTo4YnMJRQ1Oxf78/vC8QwhcMEe2y4bTZSIx20CcugkGpMV1xKyItlF+2jYrtIiIiIiL7qyoX3v0lFC5u3X7YjTD5WojrB1Y9pS5yIJRfto/Gr2e4f/H9vLLxFQA+P/9z0qPT9+s8wzDYOGJkqzZrdDSD536FLTa2w+MUEelx/B6oL4JVr5lLzJevAyPUuk9MOpz5MAw+EWw/WV3EMCCwc19mLFZzVrzfYz5UmzIUolM6/TZEpPdo8gbYXtnEOyuL2FBST3WTj8pGH9VNXg5wlXoADh+czIUTsxjZN45+iVFEOm0dH7TI95Rfto2K7SIiIiIi+9JUCZs+gvdvbN0+6Dg4+T5IGxGeuER6AeWX7aPx6xkafA0c9uphANw1+S4uGXHJAZ3vLy7GvXIlxb++DQBbYiJD5s3F4nR2eKwiIj1aKASVm6F+B9TkwaInoWrL7vtGJEBMmtn/x6JSwF3Zuu22LWZfEZE2CoUMapv9bCyt581lO6hq8hEMhbBgwWm3YrVYqPf48QdDFNc2U1bv3eUaVgvkpERzyqh0xvVP5LBByUS79r1Fkcj+Un7ZNiq2i4iIiIjsSfU2eOMKKF0DfP+xOSIBTv8HDDjaXDZeM9lF2kX5Zfto/HqO/6z+D4+sfISj+h3F48c/3qZrlD/0MFVPPQVAxCGHMOCN1zsyRBGR3qepEj65EzbMbj2DvS1iM8AVAzlHQkQcYDH3ik8aCH1GQdAP7mqzKK8tpUSknaqbfJQ3eHhpUT5Ltlezo6YZty/Yqk+U08ZJI/tw8eT+jMqMx2axdOrMd18gxLK8agIhg2mDkrX/fC+k/LJtVGwXEREREdmdbXPhhbN3HsdnQeYEOOMhiEoKW1givY3yy/bR+PUcm2s2c9775+G0Oll0ySIcNscBXyPk9bJp7KEtx87sbAZ9+kkHRiki0ksF/VCwCMrWQr9J5s+NpRCXCSPONB+oBWiuhoZSc8/36FT45h8w50/79x4W684l7OP6QXMNZE+DkWdD8uDdL0lfXwKbPjTzjNTh4IjsqDsWkV6otM7DZ+tLmbOxnLVFdVQ27ro/fHZyFP0SI/H4Q9Q0+cACCZEOLBYLvz9jJGOzElr6/lAetPzkAaGqRi/fbq3EYrFQ1ehlfXE9by7f0aqP026lT5yLIWmxNHoDuH0Bfn74AI4emkpyjKvjb166hPLLtlGxXURERETkpzZ+CK9dSsts9vOfgdHnhTUkkd5K+WX7aPx6DsMwOPL1I6nz1vHq6a8yOmV0m6+1afwEQm43ADlvvUXk6FEdFaaIiPxUMABFy2DLZ7D9a7OgnjwEKjdB8coDu5Yj2nxwN32MuXx91dbWr8dnQV2h+XN0Gvia4JALIWsKDDkJGorNc9a9C+vfNYv0hgEBL0TEQ7+JZmE/ob85u75yC+TOMbfEuvh1s/gfEd8RoyIiYRYMGXy7tZI3lhby8dqS/doP3mqBo4emUu32U1TTTI3bR4zLzvj+CfSJi6DZH6S6yceS7dV4A6E2xzYmM56MhAhSY130T4pi9Y46tpY34rJbcTlsYMCW8gayk6P55TGDOHFEH6xWrQjSHSi/bBsV20VEREREfmAYMPtmWPG8edxvkjmTPX1MeOMS6cWUX7aPxq9nuf6L6/mm6BvOHXIufzjsD22+TrCxkc0TJ7UcD1u+DGt0dEeEKCIiB8pTZ24/FdvXLI7/UIB3RsPKl6BkNfgazJnu3cXFr8HQU7TcvUgv4Q0ECYWgttnH0rwaqhq99ImLwAIEQgbbKpp4c3khO2qa9/uaLruV0ZnxxEbYGZ4eR0qMk+HpcUwZmIQFWFdcz6ayBho9ATaVNvD6ssJ23UNarIu+8RGMzoxn6sBkzjik7y4z7qXzKb9sGxXbRUREROTglvsVbP0CKjaZy0n6Gsz2AUfBpW+BXcufiXQm5Zfto/HrWV5c/yJ/XfpXAM4fej6/n/r7Nn+J2Pj11xRe+wsALC4Xw1d911FhiohIZ2isMHON+hJzOfugHxKyYMRZ5sx0dxVU50JtIfjd5n7zTRWw7H87rxGRAEkDICHbXLZ+5FlgjzR/ri+CklVQts782RFlznKPSobvXtpzXNfOhZRh5hL2Fgt46sHfbO5PD+ay+qEApA7rzNERkU7m8QeZtWIHwZBBn7gIMuIjiY2ws72yifUl9eyoaSYjPoKUWBdxEQ6OG552wPu/B4Ih8qvdLN5WTTAUYmt5I1VNPvonRTEqI56QYWC1WKhx+/D4gyzNq+aLDeUE9zAtPy3WRXKMi4RIBzERdo4bnsbw9FiSop1kJ+tB086g/LJtVGwXERERkd7P12R+QRQRDwEfrH4dmsqhdC2se7t1X3uE+eXVNXN2fsEkIp1G+WX7aPx6Fn/Iz7FvHEudtw6AswadxV+O+Eubr1f+0MNUPfUUAAM/+hDXwIEdEqeIiHQzoZBZqHfFtW82+rcPwfx/7XmWvTN258PHPzX8DBh5DlitkDkRErPNBwY89ebS+JqBKiJt4PYFqHX7yatsYnl+DZ9vKGP1jrp9npcc7SQu0kH/pCh+cdRADhuc0gXR9n7KL9tGxXYRERER6Z1yvzKXbSxeYS7riAVi06GhZNe+Q081Z2pkHAqDjtM+hiJdSPll+2j8ep5lpcu46tOrWo6vGnUVt068tc3X23LU0QTKy3FkZTHo00+wWK0dEaaIiPRm8/8Fn/++/dexOSHog5g+EJlk5lQVG2HgMXDin8DubP97iMhBp7zeQ9AwqGjwUuP2U9PkY2VBDYu2VVPv8VNS59nlnMyESH5+xAAumNiPuAhHGKLuHZRfto2K7SIiIiLSswUDsOI52PSxuRx8bAY0FO/7vMEnmMstjpthLr8oImFxoPnlv//9b/7973+Tl5cHwKhRo/j973/Pqaeeusdz5s2bx6233sq6devIyMjgN7/5Ddddd11H3UJYKT/vmSqbKzn2jWNbjlfMWIHD2rYvBX+8nPygTz7GmZPTESGKiMjBwuc2C+a+JvMXhrn0fChoFssjE2HHMljwCDTXmrPiS1fv//VnvAtZk8097PfFMGDxk+Zs+UMugCSt2CIiu6ps9FJa56Gotpl/fraZTWWtV+Q4YnAKVx8xgEkDkohx2cMUZc+k/LJtVGwXERERkZ4hGIDcOeBvgurtULUVtnwGVseei+uDjoPsw819EB2RULl5536DiTldGr6I7N6B5pezZ8/GZrMxePBgAJ5//nn+9re/sXLlSkaNGrVL/+3btzN69GiuueYafvGLXzB//nyuv/56Xn31Vc4777wOv5+upvy856rx1HDU60cBcMv4W7h6zNVtvtb2n/0Mz6rWhY/ICRPIeXkve/SKiIi0Vdk6qC2AtJEQEQdr3oJNH5kPPrurYPPHrfvbI80cLDYd0g+Bo243l513V4G7GnK/hCX/gdr81ueNvxxOvg9csV13byLSowSCIdaX1PPGskLeWVFEky/Y8lqsy875E/vR7AuysqCWRy4ex7B0/X2yN8ov20bFdhERERHp/tzV8J/joGb7nvvYXOYXOCPPgq1z4LAbYfhpXRejiLRJR+SXSUlJ/O1vf+Pqq3ctVt5xxx28//77bNiwoaXtuuuuY9WqVSxcuLDNcXcXys97tvsX388rG1+hb3RfPjnvE6yWti0BX/bXv1H9zDO7tLtGjsA1cBDWyAiSrrwS16BB7Q1ZRERk3wI++GImLHrczNOC3rZfy+aC7MMgeRAMPQVSh4PVDnF9OyxcEekdDMMgt6KR/36zna82lVNWv+vfPROzEwkaBodmJXDplP70jY/EabfisGkrJlB+2VYqtouIiIhI9/f+TbDi+dZtPywXP+1XcMStEJ0cnthEpF1+yC8LCwtb5ZculwuXy7XXc4PBIG+++SZXXHEFK1euZOTIkbv0Oeqooxg3bhz/+te/WtreeecdLrzwQtxuNw5Hz97PT/l5z9YcaGbyy5MBGJo4lFlnzWrTdUJuN5smTATDwJGRgb9479upxJxwPLboGFJvvRVHn7Q2vaeIiMh+MQwo+Q6qcs3Z72t/8m+dxWoWz4M+8zg6FW5YYvad+wDUFe56TasdJl1jFuCzDzNn2FssnX4rItJzeANBPlxdwqJtVQDkVblZsr16t30jHFbG9ktg6sBk0uMjGJwWw6ScpK4Mt9tQftk2KraLiIiISPeWvxCePcX8+ewnYNyl4Y1HRDrUD/nlT917773MnDlzt+esWbOGadOm4fF4iImJ4ZVXXuG003a/ksXQoUO58sorufvuu1vaFixYwOGHH05xcTF9+/bsWVHKz3u+c949h9y6XAC+/tnXJEYktvuaRjBIxSOPUvXUU1ijogi53XvsO3TZUmwxMe1+TxERkf2SvwCKVkDfseZe7jan2b67YrlhwIbZsP5dqN4GxSt3f01HNAw4EsZeDMPPAJv2aBaRXS3aVsW2iia2ljfy4ZpiKht9BEO7L5HGRzrolxjJ0UNTuXBiFjkp0V0cbXgov2wbFdtFREREpPta9ix8cIv5c//D4Ocf77W7iPQ8bZnZ7vP5KCgooLa2llmzZvHf//6XefPm7XZm+9ChQ7nqqqu46667Wtrmz5/PEUccQUlJCenp6R1/U11I+XnPV+4u5/g3jwfAZXPx5QVfEu/a9QGU9jAMg7r33qPqqaeJmjoFz7r1eFav3qVf2m2/Jumqq7DYbB36/iIiIh2ibgc0lJp7u2/5AhrLIHcO8KMSR9+xMPYSGHyCOfNdM95FZA8Mw6DeE2Dxtiq2VjSyubSBwppmlufXtOrntFu57aShXHFYDi577/6crPyybVRsFxEREZHu6Zt/wpd/2Hn8q+WQMjh88YhIp+iI/PKEE05g0KBBPPXUU7u8pmXkpSf4LO8zfj3v1y3Hn5//OenRnfsgSOM331J4zTW7fW34mtVYevifDREROUg015gPaS95GhpKWr9msUJcP8g5HIaeDJkTIeQHLJCYo0K8iOxWkzfA2qI6npyXy/L8Guo9AQBiI+xkJUbRJ85FlNOO2xfAGwgRDBn0iYsgymnDYrHgtFlIi4sgOzmKvvGRpMa4yEqKxNID/s5Rftk2Wk9FRERERLpe3rfw6T3QbyLE9jVnHMSkm0sI1ubDl3+Emu1m39QRcMJMFdpFZI8Mw8Dr9e72tWnTpjF79uxWbZ999hkTJ07s8YV26T2O7388GdEZFDeZe63/benf+Mcx/+jU94w58ggyH36Yqv/+F8/ata1e2zjmEACGrVyBNTKyU+MQERFpl8hEOPJW81fpGlj9BpSuhm3zwAhBXQGsKoBVr+56bnQqDDoeMsdD4gBwxULJKvA3Qepwc5a8I8rMUfuMBps+O4ocDKJddqYMTGbKwGQ8/iAvLcrnyXm5VDb6WF9Sz/qSfV/jp0b2jePiKf2ZPi6TGJdZmvUHQ9i+L8BbLPSIYrzsnma2i4iIiEjXWvcuvHnF/vXtMxp+8Q1YrZ0akoiEz4Hml3fffTennnoqWVlZNDQ08Nprr/HAAw/wySefcOKJJ3LXXXdRVFTECy+8AMD27dsZPXo0v/jFL7jmmmtYuHAh1113Ha+++irnnXdeZ99ep1N+3rs8suIR/rPmPwDMvXAuyZHJXfr+m484kmBlZau21F/fSvLVV9O0cCG2uDgix4zp0phERETaxNcEzbWw6SMoWwvr3zfbbE7wNbTtmpkTIaG/WYh3V8JhN0FcpvJVkYNAsy9IbkUjFQ1eimqbCYYMIh02XA7zz395vRdf0Jzl7g0EKanzsKWskdpmHyW1HgI/2hs+JzmKHTXNLW02q4WBKdGcMy6Tk0elMzgtJiz3CMov20rFdhERERHpGps/hU/ugurcnW0DjjJnCmz+ZNf+Zz4CI88yZyqISK91oPnl1VdfzZdffklJSQnx8fEccsgh3HHHHZx44okAXHnlleTl5TF37tyWc+bNm8f/+3//j3Xr1pGRkcEdd9zBdddd11m31KWUn/cuhmFwxjtnUNBQAEBmTCZ/POyPTO47ucvev3HuXHb88vq99rPFx5Pxz38Qc/jhXRKXiIhIh/J7YPXr5mpq696B5CFQuQlqCyA2w1yBrfg7c1n6kH//rtl/mpm7RiRAZIL5c/Ig6DfJLNCLyEGroMrNCwvzmL26mLL63a/I9mPJ0U7G9U9keHosGQmRDO0Tw+jMeCIcnb9fvPLLtlGxXUREREQ637Jn4YNbdh4POh4uehkcP1qa1u8BuwvcVeYXE9bOTyJEJPyUX7aPxq/3+WT7J9z+9e0txxYsLL1sKS6bq0vjqH7+ecruf2CvfSIPPZS022/DmZODLSlJS1+KiEjPVpMHCdmt93IPBSHog9pCc3n6ik3QUAybP4Om8v24qAUGnwDpY8xl6A0DjCAE/RDwgDPGXL4+c7z5misOUoeabSLSq4RCBmUNHjaVNrC1vJGpA5Ox2yzYrRYW5Fbx8ZpSFm6r2u25VgscMSSVe04bwdA+MZ32uVv5Zduo2C4iIiIincMwYPlzULwSVrwAGDD+cjjhDxCVFO7oRKSbUH7ZPhq/3unrHV9zw5c3tBzHOmJ58bQX6R/bH0cX7hcbbGyk6n//w56aStypp7Ll8CMgFNptX0e/fiRccAHNa1bT+MWXuEaOIP23vyVy3DgV4UVEpHcK+s2Z8QBWO3hqwVNnLl/vroKCRVC1pW3XzpwAfQ+F6BSITYeBx0DSwI6JW0S6rQaPn5UFtawrrqeo1s3mskbWF9fT6A206uewWRiUGsPpY/py8ZT+pMR0zIO5yi/bRsV2EREREelYzTWw8AlY/BR463a2DzkZLnm99SwBETnoKb9sH41f7/bHhX/kzc1vtmr77LzP6BvTN0wRmdwrV1Lx8L+wRkfT+PXXEAjs85wh87/Fnty1e9CLiIiElWHAtrlQvAIay8HvNveMt9rBYjP3eq8rgvwFEBEPGNBQCt76PV9z5NnQdyx8+UfzOGM89BllFuLHXgRxGV1xZyLShQzDYEt5I3+YvY4FuVX8tKob47JzSL94xvVPYFBqDGmxESRGOxiQEk2U035A76X8sm1UbBcRERGRjmEYsPS/5r7sP97XzhkDo8+DE2ZqRruI7EL5Zfto/Ho3t9/NlFemtGqLd8Xz9c++xmqxhimq1gy/n5DXR92771L/wQc0f/fdHvv2e+xRYk84oeuCExER6WkMA7Z/DdW5UJNvLm1fvc1cwn5/DDkJpv7SnBWv/Fuk13H7Arh9QWqafHy2vow3lxWSV+XebV+X3crkAUmMzoznkMx4pg1KJiHKudfrK79sGxXbRURERKR9DAPWzoKv/mJ+CQAQlQyjzoUT7tVecyKyV8ov20fjd3AobSrlw20f8vCKhwF4/PjHOarfUeENaj80zJnDjutvaNU2YuOGMEUjIiLSg7mrYeMHUL4R3JVQuBgsVjjsJqjZDtu/MWfQ/8DqgEMvgRFnwRA96CbSW/kCIdYU1bG2qI5VO2r5rqCWumY/zf4gbl9wl/52q4VIp41jh6Vxwsg+TBmQxFcby6l2+0iKcoK/mYuPGK788gCp2C4iIiIibZe/EN6+FuoKzGOLDabdAMffC7YDW6pKRA5Oyi/bR+N3cPnNvN/wcd7HADx78rNMTJ8Y5oj2T+2stym55x4AEi+fQfrdd4c5IhERkV6oeCV8dZ/536aKne2ZE2DcDHOZ+VAQgj6zXTPfRXotwzBYvaOOVxYX0OgLsLGkntyKpn2eF/K6KXz4QuWXB0jFdhERERFpm+pt8OSR4Gs0jyMS4LpvIKF/WMMSkZ5F+WX7aPwOLu9seYffL/h9y/HiSxYT5YgKY0T7b8PwEa2OU2++iZRf/jJM0YiIiPRihgGrXjNXoNs2t/U2bz829QZzuzf73peVFpHeodEboMHjZ/WOOhZtq2Lepgq2VZoF+L7xEYzsG0dtXR1v33Ki8ssDpGK7iIiIiOyf7d/AWz83n4J3xe2czZ4+Bi5/HyITwWIJb4wi0uMov2wfjd/B5+5v7mb2ttktx6svX42lB/z7616xkvxLLtmlPfOf/yDm2GPBasXidPaIexEREekx6opg3oOw5k3w72ZfZ0c0DDwGTvoTJA/q8vBEJLy8gSAOqxWr1fwMrvyybVRsFxEREZH98+J0yJ3Tus0eCb/4GlKHhicmEenxlF+2j8bv4PSHhX/grc1vAfD8Kc8zvs/4MEe0f4xgkPpPPqH417ftsU/0EUfQ5+67cQ0c0IWRiYiI9HJ+DzRXgyvWzOMX/xsWPAqNZTv7JA6A1OFgtZkr1qWPgZRhkD4a7K7wxS4iXUb5Zduo2C4iIiIiexYKQm2BOZv9ialghODc/4Iz2kzU+x5qJt4iIm2k/LJ9NH4Hr5PfOpnipmIA1lyxJszRHBjvli2U/O73NH/33R77RE2cSMSoURihEBanA8Prw19aQvTkKcSecjKh+npCbjeGz4fh92ONicE1eDDWyMiuuxEREZGeLBSC/Pnw4a1QuXnP/eyRZgHeYoVr52oGvEgvpvyybVRsFxEREZHdK10LL58PDSU727KPgKs+DF9M0mE8/iBvLt/BdwW1pMQ4SYlxEeWyMTw9jsQoB9EuOw6blXmby1m9o46UGHMmQ2G1m1q3n9RYF75AiKLaZqqafKTFukiLdWG1WBidGcfQPrFYrRZGZcQR5bSH+W6lO1N+2T4av4PXnII53PzVzQBMSZ/Cf0/+b5gjOnCh5ma8W3OxxkSDATUvvUjdBx8Sqq9v8zVt8fEkXnYZSVdcjk1/JkRERPbNMKC+GHYshYZS8yH72gIoXQ1FyyHg2dnXYoNhp8LJ90FidvhiFpFOofyybVRsFxEREZHWPHWw9H/w5R9atyfmwKWzIGVwWMKSjmEYBl9sKOePH6yjsLq509/PabMypE8Mh/SLJyc5msQoJ25fgEZvgPT4SPrEuUiOdtEnzkW9J0B2UlTLXmFycFB+2T4av4OXYRhMfGkivpAPgFWXr8JqsYY5qvYzDIPmZctoXrcOf1ExFqeDUGMThILUvvkWfL+nuy0uDkt0FFaHEywWfHl5u1wrYvRo+j3xOI60tC6+CxERkV4iFILydeaWcp//vvVro86FiT+H6FRz5jsWc9a7RfmcSE+l/LJtVGwXERER6Y1CIajaAvH9zCXfd8cwwNcIoQDkzYfiFeY+bqtfA3fVzn4//wyikiEhS/u09XBbyxv4y4cb+GpTBQDpcRFMH5+JLxCistFLjdvPhpJ63N4Azf4gIQMGpERz2KBk8zhkkJMSjctuo8Hjx2a1kBLjIjHaSbMvQGWjD68/yPKCGjaVNtL0/XUORGyEnUOzEhiVEc+AlCjS4yPx+oOkxLoIhgxSYlz0jY+gusnH5rIGviusZXNZA2X1XqwWcNis9ImLIMppI2QYZCdHc2hWAuP6J+Cy2zpjWKWdlF+2j8bv4Nbkb2LqK1MBuGzEZdwx+Y4wR9T5jEAArFYs1tYPFgSqq6l+/gUavvgCX25uq9dcw4aR9e8ncGRkdGWoIiIivU/pWph9MxQt23OfzIkw9BSITja/d2gsB38TDD8DMsbpewWRbkz5Zduo2C4iIiLSm3gbYcGjsORpc091iw0iEyGuL4w8G/pPg9cuMWev701iDhx1OxxyEdi0BHh3U+/x8/z8PBbkVlHV5CUQNOibEEF6XCR2q4VmfxC3L0gwFCLSaSPGZaeu2c8XG8oJhgwcNgv/d+RAfnXsYKJdu///axgG3kCICEfbC9SGYZBb0cjmskZW5Newttj8fZcQ6cRigapGH0W1zTR4/NR7Am1+n/1ht1rISIgkIyGCEX3jKKxuJreikbRYF0cPS+WkkekMTovp1Bhk95Rfto/GT3715a+Yt2MeLpuLeT+bR7RjDw/ZHURCHg81r7xK5ZNPtlqSPue1V4k89NDwBSYiItIbBAMw50+QvwBqtoO/2XyQf39ZrGBzgSsGYvpAn1Ew8BhzskDfQyFCn2lFwkX5Zduo2C4iIiLS0zSUQfU2iEmDgoXga4LIJDPJXfkS1OYf+DWTh4A9wtxzbdCxMP4KsDk6PnbZJ28giNNmJWSA7UfLqRuGQUWjl9eXFPLU19to9LatOH3CiD7cddpwBqV2n8KyYRi4fUFcdisbSxtYWVDDxtIGCqrdFNc2E+GwUVbvwWa1UNnoIxgysFggNcbFlIHJDEyJZkifGPzBEMEQVDZ6Kaltxma1UlLXzMJtVdS6/fuMY2BqNANTzKXuR/SNY1JOEsPSY3Hae/6yzPvDMAyWbK/m3e+KKKh20+QN4g2EaPIGSIhyMCE7kQEp0VgtFmIj7KTFRhDjsuOwmyscJEc7sbRhyUjll+2j8RN/0M/4l8YD8OQJTzK171QsFkuvWFK+vYxgkLL7H6DmpZda2tLuuIPkq64MX1AiIiK9VeVWCHph3TtQsRGCfvC7wRkDnnpzNvyP93/fHasd+o6FmHToNxEGHm0W4K1apUykKyi/bBsV20VERER6Er8HnjzCXCJ+T+L6weT/gwlXQXMNVGyCLZ/Bsv+Zr/ebDMfcAVEpEJ1iJrOx6V0T/0HOGwiSW95EWpyLkloPZfUePlpbQqTDRqTDxtL8GlYV1rb0z0yIJNJpo7i2mWDInGn+gwEp0Vw6pT/ZydFEu2yU1HoorfdgGAZOuxWb1UqMy4bHH6LW7cfAYMqAZKYNSg7DnXccwzCoavIR7bQT6dy/L1wMwyC/ys32qiaKaprZVtFE/6RIBqTGUFDt5ov1ZSzIrcQf3DU1ctmtjMmM58ghqRzSL54RfeNIj4/o6NvqcoFgiPUl9awtqqekrpk1RXXmGFU2tfmaMS47w9Nj6Z8URUZCJEP6xDA4LYZBqTFUNnqpbvKRHheBzWphaV4NpXXNlNR5SHIGuO7EQ5RftpHycwG45atb+LLgy1Ztp+acyl+P/muYIupe6mbPpvj237QcJ115JWl3/KZNDwiJiIhIGwUD4GuAgNcsujeWQ1WuWYQv32D+3Fi663nRaXDsXTBqurlyn4h0GuWXbaNiu4iIiEhPUb4Bvv47rH1rZ1t8lpmkxqabS7GNvRgOvXTPy641lJn7r2tp+E4VChl8tamcT9eVYrdZcXsDrC+pZ3PZASyttwdD+8Twy2MGcfbYTKxWFQk6Sr3Hz9ebKyit89DgCbCioIYl26tbPeDwgxF945g6MImjhqQyNiuBpGhnGCLeP43eAO9/V8zCbVWU1ZsPeEQ77RRUu3e7OkKkw8ZZYzOYOiiJSIedKKeNCIeN0noPy/KqqWjwEgwZNHgClNZ78PrN2e/Vbh8HnlmaQl43hQ9fqPyyjZSfC8Dn+Z9z69xbd2l/44w3GJE8IgwRdT+h5mbyLvwZ3i07H1h0DhpEv4cfwjVkSBgjExEREcDc3702H4pWQH0R5H0LefPNAv0Php4Cg0+A5EHmjPeopLCFK9IbKb9sGxXbRURERHqCpf+DD3/0JfqZj8CEK8IXTzdiGAYef4hAyCyKxrjsXTJTrdkXBMBigdmrdhYzvyuoxRcM7XaW9I9FOKwkR7uYPCCJtDgXjZ4Ah/SLZ8qAZHzBEAmRDtaX1FPvCTAgOZpGb4BRmXHERWh5/65iGAbbKptYmFvFom1VbC5rILeiiWCo9f/bPnEuBqXGkJEQSWqsizGZ8RTXNlPe4MVhszAsPY7jh6cR7eqah1zyKptYmlfNnI3lzNtcgfv736s/FRthZ2y/BNLjIxjbL57U2AgOH5xMbBt+j3kDQbZVNLG1vJHCGjeF1c1sKWtga0UjtW4/NquFuAg7dc1+QsbOMRuYGk1+SSUvXX+c8ss2Un4uP/j3qn/zxHdPcOmIS3l5w8u7vO6wOnjn7HfIjssOQ3TdgxEIkHfhz/CsX9+qPf7cc8m47y9hikpERET2yNsICx6BFS9AQ0nr16x2GHkODDgS0sdA+iHaDk+knZRfto2K7SIiIiLdmc8Ns2+GNW+Yx8lD4JT7YciJ4Y2rC60qrOXpb7axobieZn+QSTlJNHkD5Fe7iYuwU9HopbC6uaW/025lRN84yus9ZCREkh4fQUltM95AiEk5SYzsG0dGQiQDU6PpGx+xx8J8VaOXDSUNhAyDvKomGr0BKhq8FFa7WVFQS3WTD6sF7FYrvuCus59jXHbOOjSDtFgXhgHD02MZn51ISowLfzCEzWrBYdN+uj1NrdvHlxvKWZZfw7dbK1r93tuXuAg7ozPjGZ0ZT3yko2Xf+RF940iNdZEU7dzv3xP+YAi3N0hFo5eNpfV8sb6MsnovFY1etpa3XkFhQEo0Zx7Slz7xEQxIicbrDxEf5WBsvwRsnbw6gmEYVDf5cNitxEU4MAwDXzCE02Zt+bOn/LJ9NH6yO8tKl3HVp1ft8fWzBp3FHw/7I7aDdP/ThjlzKLr5Fgy/v6Ut66kniTn66DBGJSIiIntVuhYWPwnuKihbZ86C/zF7BKQMgcQcSBwAaSPM1QDdleYqf2kjIGmA2aatZER2S/ll26jYLiIiItJd1RbCW1fBjqWABQ6/GY6/F6y9t0Bb1eglr8pNenwEdW4/S7ZXcd9HG3dbzO4IGfERRDhs+IIhBqbG0C8xkjq3n01lDbsULPd1nbPHZZIU5WTKwCQiHDYGpkRjVzG913P7Aqwrrqew2k1JnYcdNW7WFNVhs1oZnWHmSvO3VpJX5d7ntX74vsdpszK0TyyxEXaSY1xE2K3UNvsJBEPERjiobfbzzZaKPS7bbrXA2KwERmfEc96EfoztF9+t9yVWftk+Gj/Zk6LGIk6ZdQrXjLmG1RWrWVy6eJc+E/tM5NlTng1DdN2D4fezccwh5oHDwbBFC7FGR4c3KBEREdk/efNh8ydQugaKloO3fv/Pje0LZz8GfcdBdHLnxSjSwyi/bBsV20VERES6m1AIXr8Mcr8092N3RMPPXoTBx4c1rB01bjaUNDC2XzxpcRFtukYgGOKbrZWsKqzFbrXQNz4SbyBEXbOfLzeUsSy/ZrfnHT88jasOH0BVk5dNpQ2kxLjolxhJyACn3cLojHginDZCIYP8KjdFtc1EOmyUN3hYU1THgJQYIhxWNpeay4AX1zZTUO0mENr7R+FYl534KAc5ydFEOW2kxLoY1ieWwWkxjOwbhz8YorbZz4CUaM1Slz0yDIMNJQ3UuH1sq2hkfUk9Td4gDpuVHTVutpY3Utvs32V5+v01MCWaY4alMTYrnhiXnUP6JZAa6+rgu+g8yi/bR+Mn+6vJ38TPP/0566taL6H+m0m/4bIRl1HuLictKq1bP5zTGbxbt7LtjDMBcGRlMfjzz8IckYiIiBywoB+qt0H1dqjJg8pN5sSFxnJwxUHVlj2f64qHuAzzV2K2uaKgMwrKN8C2eZA5AbImmzPjI5MgoT/YnV12ayJdSfll26jYLiIiItKdNNeY+7PP+ZN5nDQQLn4NUoe1dDEMg8pGHztq3ORWNBHltHFIv3hSY10s2V7NivxaHHYLqwvrcPuDVDV6afYFOXNsBlcclsOqwlqW5lUzbVAy0wYmt5p9HQoZfLWpnNU76qhs9FL5/RLt0S4bKwtqCYQM7FYLxw1Pw+Wwsb64jvIGL6mxLkrrPEQ57WQnR5Ea4yI5xsmIvnGM759IXbOf5xfkMX9rJQ3ewD6HwW61EOGwEQwZXD4tm9+cMrzDl7t2+wIs3l6Ny2bFbrOyqrCWyiYv8ZEOEqOcHDU0lcyEyA59T5E98QVC1Lp9hAxo9AbYVtGI2xekqslHXbOfPnEu7FYLdc1+/EGDY4elkR4fQUKkA2snLwXf2ZRfto/GT9piedlyrvzkyt2+9tH0j8iKy+ragMKs9L77qHnhRQAGz5uHo09amCMSERGRTuFrghenQ+FiiIgHT92BX8NiNQvyA4+GY++ByIQOD1MkXJRfto2K7SIiIiLhFvDC+vdh3duw5TMI/agYfXcJOKMwDIOCajcbSxt45MstrCs+gOXR9sJqMfcWDxnmvs5byxtp9gc75Np7Eu20MXVgMnGRDnbUuIlw2IiPdNA/KYqTR6UzJjO+xxcPRWT/Kb9sH42ftFVBfQGnv3P6bl9bOWMldqu9iyMKr+3nnodn/XqcAweS+c9/EDF8eLhDEhERkc7mqYeGEqgvMmfGl641l6P3NZkz4hP6Q2MpVG6Fys3m9zf+pp3n2yMhOgXiMmHYKTD0VEgeBDZH+O5JpB2UX7aNiu0iIiIi4bTmLfj4N+Cu2tmWNBBGng3H3AV2FxtL6/nHZ5v5fH1Zq1PT4yLomxBBTZOvZT9oiwWOH94HmxUGpcaQEOUg0mkn0mHjuQXbWVtUj9Nu5dhhqSzeXk2t279LSNFOG8cOTyPKaaNPXAQ5ydFUNXmJjXDws4lZbCpr4PWlhVQ3+Th+RBoj+8ZR3uAlLdaFxx8iv7qJ3PImatw+tpY3sjy/Bm8gyHHD+3D+hEyOG94Hp11LrouISfll+2j8pD1CRojVFat5d+u7fJb3GQ3+hpbXlly6hEj7wbPCS9PiJRRccQUAjuz+DP700zBHJCIiIt2OYUBDKeR9C1/+EeoKdu1jsUJMH0gdDhN/Dn1GQUI22A6uBxmlZ1J+2TYqtouIiIiES+5X8NK5YIQgIgHGz4BDL8VIHc7aonq2lDcwe1UxX22qaDnFZrVw4cR+/PqkYaTE7NyTudkXpKzeQ/+kqD3OCjcMg5I6D9EuO/GRDoIhg/yqppZlqYtq3UQ67EzMSWx17fby+IN4/SHio/Rkt4jsSvll+2j8pCP96stfMW/HvJbjT877hMyYzDBG1LWaFi2m4MorAch++SWiJkwIb0AiIiLSfQX9ZtG9dLVZgM/9ypwdH/TuprPFnAEf08fcJnDi1ZBzeJeHLLIvyi/bRsV2ERERkTaau6mcd1YW4bJbiXLaSYlxMiojnvT4CIb1id216B0KQsFCQnnzaV7zPtFVawH4KnQod9puY2i/NCoavGyvbMIbCLWcZrNamDIgidtPHsa4/oldeYsiIp1O+WX7aPykI/mCPia81LrA/OrprzI6ZXSYIup6m6ZMJVRn7t9qjY6m3+OPET11apijEhERkR4hFILGMihdA5s+gtw55nHAs2vfxBzzV3wWxKRBdBq4YiExG+L7QWxfsHfcRAiR/aH8sm1UbBcRERHZg1DIwGKBeZsrWFFQS7MvwMbSBpq8ASwWC8vza3Y5py9V/MnxDCOsBWyOnYpjwGFkDpvAgOIP8a95B0fDjlb9vwiO40b/jTQT0ardYoGRfeMYnh7H9ccOYlBqTKfeq4hIuCi/bB+Nn3SG2bmzufvbu1u1JUUkUe2p5m9H/43c2lxuOPSGMEXXubzbtrHttNZ72ceeeAL9Hn00TBGJiIhIjxYKgrva3Pu9oRQ2vA8rXwYjuO9z47NgxFlwxC1mQV6kkym/bBsV20VERER+pLi2mYW5VTwzfzsbSupJjHJS1eTbY/9TRyRykfEJ8Y259K9dSlKgbI99AdyGCxtBNjCAr+POIHryDKYNSqXRG2B5fg1xkXYSIp0c0i+erKSojr49EZFuR/ll+2j8pLP8Z/V/eGTlI3t8/YZDb+C6sdd1YURdx7t9O9tOPa1V24D33yNi6NAwRSQiIiK9SmMFVG6Gmu1QXwJN5eYM+PKN4GuE+qLW/S1WSBsJ6WOg30QYfT5EJoQldOndlF+2jYrtIiIictCbv7WSD1aXsLKgho2lDbu87rBZOHpoGpkJEQzvG0dshJ0mb4DRsc2M+vRnZnL0I6G0kZQPPJeS/K1Ely8nO5CHy+LnzeAxfJx1K+dOHcIJI/oQ4bB11S2KiHRbyi/bR+Mnnenbom/55Re/3GufJ45/glhnLGNTx2KxWPbat6cJud1sGr9zWf1h363EGhGxlzNEREREOkAoBHnfQPkGWPYMVG5q/brNBZnjYcwFMG4G2J3hiVN6HeWXbaNiu4iIiBy0/MEQD3+xmce/ym3VPiAlmjPHZnDSyD64fUH6J0WRHucCwwCr1exkGPD2NbDmTfN4yi8hfTQMPgFi01tdr7K+ic1lTQzqE0efOH1BKyLyY8ov20fjJ11paelSPtz2IbO2zNrltUh7JEkRSdR767FarZw16CymD57OkMQhYYi04zTMncuO63Y+cDB8zWosDkcYIxIREZGDTvU2s/BesgpWvAgNxTtfs7lg0v/BoOPAGQ19DzH/G/RDc42Wn5cDovyybVRsFxERkV7PHwxht1qwWCwYhkHIgEXbqpj5/jq2lDcCcOLIPpxzaCYDU6MZ0fdHn29CIfjst7DocXDGwogzoKkSSlebS3wBXP4eDDym629MRKQXUH7ZPho/CYc1FWv4y+K/sK5q3X6fs2LGChzWnlmkLv/736n67/8AiD/nHDIeuD/MEYmIiMhBK+iHHctg21xY8pRZUP8pVzz4myAUMH8ecCQk9IejboeopAN/z1DQ/FW03JxxX18Mx96tQn4vpPyybVRsFxERkV6lvN7D11sqWVtUx/ytlWwpb8RqAbvVis1qwRMI8uNPP3ERdu47dwxnHJLR+kIlq+G968ERBYWL9/yGZ/4LJlzZKfciInIwUH7ZPho/CbdgKEiDr4Ht9dt5Yd0LfFHwxR77fnXhV6REpnRhdB3D8PvZOOaQVm0DP5iNa/DgMEUkIiIiAgQD8N1L8N2r4GsyZ7y7q/bcP2WoWSRvroHaQqgrNAvyYy6EnCOgbgfU5sPWL2H7PLA6zKJ9fTEEfT+5mAWSBprXTBpgfjeWOqwz71a6gPLLtlGxXURERHqsQDDEY19t5b3virFYICXaxZK86v0+/6JJWdx12gjiI38yyypvPrx8gZlQ/OCEmRCTDsufg6Jl5kz2CVeZM91FRKTNlF+2j8ZPuqsmfxO3zbuNb4u+bdW+5oo1YYqofYxQiO3nTMe7eXNL2/D167D8sMWQiIiISHdQtBy8jZA8yPxvdS6snWX+6gjOGPA17vn18VfAlOsgri84os395H1uqC8Cm9Ms2gc8ZmyOCMgY1zFxSYdQftk2KraLiIhIj1RY7eZPH6zns/Vlu7w2sm8cE7ITGZuVQHZyFGmxLho8Aeqa/STHOImPdGDBQnr8T/ZP99TBO9fBpo92tqWOgLMfg34TO/mOREQOTsov20fjJz3BBbMvYGP1RgCWXLqESHtkmCNqm5DHQ+VTT1H17ycBiJw4gewXX8RisYQ5MhEREZF9KFwKH91mLkOfkAXxWeB3m9+FFSw0Z8RbHRCXARFxMPwM6HsoOCLNJegj4sHuMveDB6jKhR1LzS0W5/119wV4iw3i+5mz5fdk8InmRJboVPP94jJAn63CRvll26jYLiIichALBEPUNfuJi3RQWudh3uYK1hXXU9fsw+0L4vEHyUmOZmJOEo0eP28u30FBtZu4CAdZSZFMHpDMiPRYRmfG0y8xcr+/aPT4g7js1gP+YtIfDLF4WzVfbCjj5cX5+IMGdquF648djNcfpLrJx5FDUzlrbMa+L/ZjS/5jLo9Vtt584hfMpOKU+82EQkREOo3yy/bR+ElPYBgGx715HJXNlVwz5hpuGn9TuENql23nnot3/QYALE4nw1Ysx2K3hzkqERERkTYKhcBbB644sNoO/PygH1a+BF///fsZ7I7dLDuPWcy3Ocwi/55YrBCXCYdeAumHQJ9R5oMBQe/OQr90GuWXbaNiu4iIyEHG7Qvw+foyXl1SwOLt1Rz4J4Hdi3XZOWJICpdOyeawQcmsL6knt6KRtNgIopw2spKieOTLLbyypABfIERchJ34KAcnj0wnt6KRdcX1DO0Ty+C0GE4Znc7knCTWl9RT3uAh2mnn5cUFfLWpnAZPoOU9h6fH8vszR3LYoHbs/dlUCX8btPM4KgUufQMyJ7RjNEREZH8pv2wfjZ/0FPd8ew/v574PQN/ovvznpP+QHZcd5qjaxvD7KfzFdTQtWABAyvXXk3rTjWGOSkRERKSbCPjMveBr86GuCJxRkDWldSE/FDKXvF/6H2iqgJr8nRNg9mTQceb3dVEp5s9RSYAFopM79XYOJsov20bFdhERkV7CFwiRX9XE9somHDYr4/snEh9l7kW+o8bNom3VfLSmhDkby/d4jYEp0UzMSWRQakzLNTeU1rMsr4byBi8XTcriqKGpAFQ0eFlTVMfG0no2lTbgD3ZQ1X4fkqOdjOkXz7nj+3HmIX3bv2zn+zfBiufNn0/9K4yaDjFp7Q9URET2i/LL9tH4SU/R5G9i6itTW7WtunwVVkvP3PPcMAzyLrgQz9q1AAxbvgxrtGZbiYiIiLRZYwUULoJVr5n7utcXm8vVB717PsfqgKN/AxOu1Pd5HUD5Zduo2C4iItLNfbG+jNVFdRTXNlNc28zkAUmkxLjMWd/1HpKjXRTXNfPNlspW5zltVsb0i6e8wUNhdXOr1zITIjl5VDqnjUlndGY81U0+Ih02EqOdbYrRGwiyqbSB15cW8u7KIpp8QawWGNonlgZPgMpGL95ACIBjhqXyl+ljyK9sYuG2Kt5fVczIvnFkJ0czICWKeZsr+HRdGcGQgcVizpiv9wQ4bFAyNxw7mIk5ibjsbVjS6qdCQXj7Glg7yzye/hSMvaj91xURkQOi/LJ9NH7Sk+TX53Pd59exo3FHS9uH0z+kf1zP3LYn2NDAlqOOxmhuJnLiBHJeeincIYmIiIj0LqEguKuhrhA2zAZvAxSvgNK1uxbhY/rAaX+HoaeAvW3fcR7slF+2jYrtIiIi3YRhGLy/qpgV+TWkx0dS6/YxZ2M5W8obD+g6sRF2HDYr1U0790ayWS0c0i+eAcnRjMyI4/JpOTjtnTOLqMkbYEFuFUP7xJCdvHN2jy8Qwh8MEe3a936Wjd4AueWNDEuPJcJhw+MPEuHogAL7j332O1jwiPnz0XfCMXdCe2fJi4jIAVN+2T4aP+mJLvvoMlZVrGo5/m7Gd9jasj9oN1A7621K7rkHgAHvvUvEsGFhjkhERETkIGAY5r7wc/4ECx5t/Vp8Fky9HnIOh75jwxNfD6X8sm1UbBcREelioZBBeYOXhCgHC3IreWFhPgXVbkrrPLh9wV36Wy0wNiuBQzLjyUqKYmVBLeuK6xjTL4GBKdE0eQPERToY3z+RMZnxLUvHL8+vYfH2Klx2G+eP79fSftBqKIWv/gIrXmjdftajMP7y8MQkIiLKL9tJ4yc9kWEYvLv1XX6/4PcAxDhiuP7Q65k+eDoxzpgwR3dgjGCQjaNGA2CJimLI3K+w6c+iiIiISNcJ+mHVq7DwcajYuLPd5jRXsbQ6wBEJx9wFrp71WbOrKb9sGxXbRUREukgwZPBdYQ13v72WTWUNu+1jtcDEnCRSY1zERtgZ1z+BY4al0Scuoouj7UXc1fDXAbt/7eg74Ni7uzYeERFpRfll+2j8pCd7dOWjPL366VZtl464lDsm3YGlB6045Nuxg22nnobh9wMwdNFCbAkJ4Q1KRERE5GDkrobFT8GSp6G5uvVrVjuMvdhcmj59DEy+Fmz7XoHzYKL8sm1UbBcREelE5Q0eXl9SyOzVxeyoad5l5rrTbuWcQzM4cWQ6abEu0uJc9I2PDFO0vVBzLfxzJPibzOPIREgebM5kTx4C/adq6XgRkTBTftk+Gj/p6eq8dfxn9X94fv3zrdq//tnXJEYkhimqA1f17HOUP/ggAGm330by1VeHOSIRERGRg1goBOvfhcLF5qx3T93u+zmiIXkgDDvdXHI+PhNi+0JMWpeG210ov2wbFdtFREQ6SChksHBbFZ+uK6W+2c+mskY2lNS36hPrsnPs8DR+d8ZInHYrTpuVSGfP3J+yW2qsgFcvgupcCPjA7wa+/6iTNhJ+uUDFdRGRbkb5Zfto/KS3qPPW8csvfsmayjUtbRYsXDLiEgbGD2RA/ADsVjujk0fjsLXeHumHr7bCPRu+/OGHqXryKZwDBjDwow/DHo+IiIiIfC/ggyVPQU0+FC2H4hV76WyBlKFmwf2IW2DQ8QfN94nKL9tGxXYREZF2CARDFNd6qGj08ucP17OyoHaXPqMz45gxNZtDsxIZnBaDzXpwfDgLi7d+DmtntW6zR8A5T8Do88ITk4iI7JXyy/bR+Elv88qGV7h/yf177fPHw/5ImbuMbXXbyKvLI68+j+ZAM2cNOot7ptxDlCOqi6JtLdjQwObDDge/n4y/Pkj8WWeFJQ4RERER2QdvAzSUQtVWyPsW6gqhYjPUFuxcIfMHKUPh8vchrm94Yu1Cyi/bRsV2ERGR/eDxB/lqYzmLt1eTV9XEd4W1BIMG3kAIXzDU0i/KaePkUemMyogjLsLB0cNStd96VyhcAl/+EfK+MY+zD4exF0HGeHNGu9Ua3vhERGSPlF+2j8ZPeqM6bx33L7mfLTVbGJE0go3VG9lUs2m/z7dg4YPpH9A/rn8nRrl7RbfeSv1HHwPQ/5n/EX3YYV0eg4iIiIi0kWFA8UooWwezbwLj++99rXYYf4U52z2+n7k9ZXMNbPoIhp4M0anm9pU2pznxJzIB7K6w3kpbKL9sGxXbRUREvmcYBh+vLWVFfg1Ou5WUGBcldc18ubGcbRVNezzPabfisls5ckgKvztjpPZc72oLHoPP7tl53Gc0XPftQbO8k4hIT6f8sn00fnIw+XDbh9z5zZ0cknoIOXE5DIwfyMD4gfSP68/fl/2db4u+bdX/ldNeYUzqmC6NMeR2s3nKVAy/H4CIsYeQfs89OLKy8G3bRuW/n8RfXIwzJ4d+jz2KRQ+FioiIiHRfefPhvRugZvuBn5syFFKHQ2IOHHoppA3v8PA6mvLLtlGxXUREDnrNviDPzN/O+98Vs6msYY/90uMiOHpoKiP6xjIhO4nYCDtWi4WMhAjsNn1JFhZ538Jzp+88Hn4GHHMXpI8OX0wiInJAlF+2j8ZPZKdGXyOPrnyUVza+0tJ28fCLuWPSHdisti6Lw7ttG9tOO33fHYGBH8wGw8CZnY3F6ezkyERERETkgBkGrH/P/B6ytgDqi8FbD6EgOKPAGQPuKmiuhaAPAh5gN6XXzAlw3G+h32Rz9nvVVnDFmjPgI+LB5ujqO9uF8su2UbFdREQOakW1zVzz/DLWl9QD4LRZOWpoKk67hapGH/2TojhscDLjshLJSorSfuvdSSgEz54KhYvM418th5TB4Y1JREQOmPLL9tH4iexqXeU6rvjkCrxBLwBnDjyT3037HZH2rluBqvHb+RT+3//t+oLNBsHgHs/LfvEFoiZN6sTIRERERKRThUJm8b1wsVmY3/D+zq0vASw2MH7yeTAyEcZeDKOmQ79JYVuxU/ll26jYLiIiB60PVhfz23fXUuv2kxzt5OdHDOCssRlkJUWFOzTZl8ot8PFvIHcOOKLg2rmQOizcUYmISBsov2wfjZ/I7jUHmrnz6zuZUzgHgGsPuZYbx93Y5XEYPh/BpibqZs0i7swzcfTpA0DepZfRvHz5Xs/te999RI4ZjWvIkK4IVUREREQ6g2GYs+KX/hfy50NThdlujzBnwv+wL/wPIhMh+3DoP81cvTNzgjkDvgsov2wbFdtFROSgEgoZfLCmhJcX5bN4ezUAI/vG8fTlE+iXqCJ7t+Wph3Vvw+o3zA+lP7Da4YyHYfyMsIUmIiLt0xPyy7y8PL755hvy8vJwu92kpqYybtw4pk2bRkRERFhj6wnjJxJODyx5gJc3vAzAdWOv4/qx12MJ00yhn2petw5HRgahujpKfn8v7iVLdtuv/zP/w5mTQ81rr9P41Vf0f+F57ImJXRytiIiIiHSIuiIo3wAZh5oFdyME2+fB6tdh44e7Ft/tkZA1CUacBROvBmvnbWfaG/PLrsjnVWwXEZGDhscf5Pa3VjN7VXFL2xGDU/jvFROJcHTdHo6yG5VbYPlz5v5E8VnQfyqsfAmqtoDVAWvf2vWcoafASX+GFM30ERHpybpzfvnKK6/wyCOPsGTJEtLS0sjMzCQyMpLq6mpyc3OJiIjg0ksv5Y477iA7OzssMXbn8RPpDgzD4JIPL2Ft1VoAZk6byXlDzwtzVLsXrK3FvWwZRbfdjuHx7LWvPT2d/v/9D67B2kZJREREpNfwe6BgARQugbK1ULQC6ot2vp42EvqMNpeZj8+CMedD6vAOW3a+N+WXXZnPq9guIiIHhTU76vjNrNVs+H5v9hNGpPGbU4YztE/XLMEje+Fvhr+k77uf1QGDT4C+h5jLKA06tvNjExGRTtdd88vx48djtVq58sorOeuss+jfv3+r171eLwsXLuS1115j1qxZPPHEE1xwwQVdHmd3HT+R7qQ50MzklycDEGmP5KNzPyIlMiXMUe1dyOOBUIjNRxyJ4XbvtW/sqacQe9zxxJ16Cha7vYsiFBEREZFOFwpC8XewbQ7MfQBCgV379D8MhpwIA46G9DFgd7b57XpLftnV+byK7SIi0mt5/EFeWVzAvM0VzNts7oUTG2HnycsmcPjg7v3lWq/nc8P2r8HfBNvmwooXzPahp0DhYmiuMY8nXWPuU1SbD4ffAn1GhitiERHpJN01v/zwww85/fTT96tvZWUl27dvZ9KkSZ0c1a666/iJdDeBUIBTZp1CmbuMcWnjePbkZ7FZu//qViGfD8+aNdj7pOPsl0nI46HswQepffW1XfpaY2IY+MFsHOn78SCriIiIiPQsdTtg6xfgbYCaPHOl0LxvwQju2rfPaEgZaq4eOvYicMbAfnz27S35ZVfn8yq2i4hIr2EYBnXNfgwDKhu93DFrNSsKalteP3ZYKvecPpLBaTHhC/JgFwrBB7fAiud3fW3ClXDmv8yfa/LBXQWZ47syOhERCQPll+2j8RPZf1tqtnDxhxfjDXq5dMSlXDz8YrLjwrMFRHsFKiupeORRmteswZmVRcNnn7W8ZktMJPrII0j/7W+xxsRg+dG+nsG6OvzFxbiGD2+1d71323ZK//AHLDYraXfcScSwoV16PyIiIiLSBhWbzL3eyzdA7lcQaN59P3uEOfs9ZSikDIOhJ0Nkwi7dlF+2jYrtIiLS4xmGwQOfbOSFBfk0+3d9ku+6owdx7vhMLRnfHXx1P8x7YNf2mHS4cTm49CCEiMjB5kDzy/vvv5+3336bjRs3EhkZyWGHHcaDDz7IsGHD9njO3LlzOfbYXbcf2bBhA8OHD9/ne65YsQKHw8GYMWMAeO+993j22WcZOXIkM2fOxOls+zJ97aX8XOTAvLrxVe5bfF/L8fVjr+eXh/4yjBF1jLoPPqT4ttt2+5o1OhpbQgLWqEi8W7a2tLuGDCbk8RKsqSHU2LjLedkvv0TE6NF41q7FnpKCxeWi5qWXwGoj5HbjSO+DNTYO1+BBOAcOxJ6Y2Gn3JyIiIiL7EApB+Tpz1nsoCBtmw8YPIODZta/VDhnjzZnvJd+BPRIckdQ3B4i/8pVelV92RT6vYruIiPRY5fUeXltayOtLCymqbf3Uns1q4dCsBO48dTiTcpLCFKG0YhjwyKHmB76cI+GilyEiHoIBsFj2aykjERHpfQ40vzzllFO46KKLmDRpEoFAgHvuuYc1a9awfv16oqOjd3vOD8X2TZs2tXqP1NRUbLZ9//szadIk7rzzTs477zy2bdvGqFGjmD59OkuXLuX000/n4Ycf3u/77WjKz0UOjGEY/HHRH3lr81stbQ8f8zDHZx8fxqg6hr+0lJqXX6Zhzlf4cnO7/P0z/v534k4/rdWMeREREREJo4DXLLbvWAqla82tOrd+af53N+q9BvEPNPSq/LIr8nkV20VEpMep9/h55IstvLQ4H48/1NL+f0cM4NcnDcNhs2C3WfdyBQmLqlx4dDxYbHDHdrPQLiIiB70f8svCwsJW+aXL5cLlcu3z/IqKCtLS0pg3bx5HHXXUbvv8UGyvqakhISHhgGOMj49nxYoVDBo0iAcffJA5c+bw6aefMn/+fC666CIKCwsP+JodRfm5yIEzDIMqTxVPrnqS1ze9DsDsc2aTE58T3sA6kL+0lOYVKwjWN+Betgz/jh3EHHccMUcfjTUqksav5mL4fdgSEnBkZOAaOhR7cjK+HUUUXP1z/PkFLdeyRkcTampqOY459lgMr4emBQt3+95JV/+chPPOw5mT02oJexERERHpBgwDqrfB5k+hbC0Ur4TswyExh/rKEuLPvq9X5Zddkc/bOyBOERGRLlFa5+HROVt4a/kOvAGzyD4qI45zDs3k2OFp2ou9OzMM+PgO8+d+E1VoFxGRXWRlZbU6vvfee5k5c+Y+z6urqwMgKWnfK9mMGzcOj8fDyJEj+e1vf7vbpeV3xzAMQiHzs8cXX3zBGWec0RJzZWXlfl1DRLoPi8VCSmQKN42/qaXY/mXBl1w95uowR9ZxHOnpOE47DYDEi362y+tJl8/Y7XnOfpkM/vRTDMPAt20bWKw4c7IJuZsJNTXh6JPWqn+oqYnS++6jbtbbLW3V/3uG6v89A0DyNdeQ9utbO+q2RERERKS9LBZIHgTTrt/1tfp64L5d23uwrsjnNbNdRES6PcMwePyrrfzryy34g+Y/W/0SI/nt6SM4eVS6lins7uqK4L3rYdtc8/jUv8KUX4Q1JBER6T7aM7PdMAzOPvtsampq+Oabb/bYb9OmTXz99ddMmDABr9fLiy++yJNPPsncuXP3OBv+x4477jiysrI44YQTuPrqq1m/fj2DBw9m3rx5XHHFFeTl5e33/XY05eci7fPS+pd4cOmD2C12vr34W6Idu9+OQvbNt2MHZfc/QOOXX+7yWt/77yf+nLOVu4mIiIh0Y70xv+yKfF7FdhER6baCIYM5G8u55oVlLW0TsxP59UnDmDIgCatVX9T0CDN/NIt9ynVw6oPhi0VERLqd9uSXN9xwAx9++CHffvst/fr1O6BzzzzzTCwWC++///4++65evZpLL72UgoICbr31Vu69914AbrzxRqqqqnjllVcO6L07kvJzkfZp8jcx9ZWpAFw64lLunHxnmCPq+QIVFTR8OYeKxx4juJvZQkMWLsCemBiGyERERERkbzozv6ypqeGmm25qycHPOussHn300f3e6u0Xv/gFTz/9NA899BC33HLLfr9vV+TzKraLiEi3YxgGLy7K55Evt1DZ6APAZrXwx7NHcemU7DBHJxgGfPtPcMWB3w0jz4agHxY8AqOmw8BjwV0N798Imz7ced7QU+CiV0H7NoqIyI+0Nb+88cYbeffdd/n6668ZMGDAAb/vX/7yF1566SU2bNhwwOf+wOPxYLPZcDgcbb5Geyk/F2m/2+fdzid5n5AUkcRXF36F1aLPqx0h1NxMxb8eofq553Z5Le6MM8AwMIJBIseOxWK3E3vSidjT0iAUwmKzdX3AIiIiIge5zswvTz31VHbs2MHTTz8NwLXXXktOTg6zZ8/e57nvvvsuM2fOpKKigttvv/2Aiu170pH5vIrtIiLSLYRCBisKaiiqbeaNZYXM31oFQGyEnf5JUVw+LZufTeof5iiFHcvhv8ftvU+/yVCdC+6qnW0J/eGWNZ0bm4iI9EgHml8ahsGNN97IO++8w9y5cxkyZEib3vf888+nurqaOXPmtOn83cUVjuWRlZ+LtF9lcyXHvnEsAC+e+iKHph0a3oB6Ic+mTWw/+5x99rM4HBh+v7mXqM2GPTmZuFNOxpmTgy0xieipU6h7fzaVTzyB4/sVTTIefADXoEGdfAciIiIivV9n5ZcbNmxg5MiRLFq0iClTpgCwaNEipk2bxsaNGxk2bNgezy0qKmLKlCl8+umnnH766dxyyy0dUmz/sfbm8/YOjEVEROSABUMGryzO59kFeWyraGr12oyp2dx20jDio8I3W0x+JHcOvDh93/12LNn589F3wKDjof+UzotLREQOKjfccAOvvPIK7733HrGxsZSWlgIQHx9PZGQkAHfddRdFRUW88MILADz88MPk5OQwatQofD4fL730ErNmzWLWrFl7fJ8RI0bwu9/9jvPPPx+n07nHflu2bOGf//wn2dnZ3Hmnlp8W6YlSIlM4Y+AZfLDtA679/Fq+uegbXDZXuMPqVSKGDWPExg14Nm5k+znTiRgzhqhJkwhWV+MrLKR5+XIAs9AO5mpagQCBsjKqn39ht9cM1tYCsO30MwBwDh7EoA8+6PR7EREREent6uvrWx27XC5crrZ/Pl64cCHx8fEthXaAqVOnEh8fz4IFC/ZYbA+FQsyYMYPbb7+dUaNG7ff7dXU+r2K7iIh0ObcvQGF1M/UeP3/+YD2rdtQBEO20MSojnqykKC6ZksWE7KQwRypUbAa7CxKz4eMffeBIGgg3rTR/biyH5hpIGWr+vORp2DAbco6AY+4yZ6WIiIh0kH//+98AHHPMMa3an332Wa688koASkpKKCgoaHnN5/Nx2223UVRURGRkJKNGjeLDDz/ktNNO2+P7PP7449xxxx3ccMMNnHTSSUycOJGMjAwiIiKoqalh/fr1fPvtt6xfv55f/epXXH/99R1+ryLSda4fez1zC+fS6G/kTwv/xJ+P+HO4Q+qVIoYPZ8TGXbfvCNTUECgrwxYXR6CqGovTSd077+DdsoVQUxPYbC0FeQBHRgaWqEh8W3Nb2nxbc9kwfAQJP/sZSVdcgWvgAELNzWC1EqytwxYbgzUqCsMw8G3Pw5HRF2tERJfct4iIiEhPkpWV1er43nvvZebMmW2+XmlpKWlpabu0p6WltTxAvzsPPvggdrudm2666YDer6vzeS0jLyIiHcoXCFHZ6KVPXAQ2q1lkDYUMvthQxp8/3EBpnQdfMNTqnFiXnZtPGMIFE7I0iz3c3NWwdhbUF5v7su/ODUshdWjXxiUiIr1Wd88vFyxYwOuvv87XX39NXl4ezc3NpKSkMG7cOE4++WQuu+wyEhISwhZfdx8/kZ7kmbXP8NDyh7BZbKycsTIsW0PInvnLy2letYrY445r2dPd8PvxrF9P3s8u2qW/PT2dwF6+vAVIuOB8+vz2t1jbMVNLREREpLf4Ib8sLCxslV/uaWb7zJkz+cMf/rDXay5dupTPPvuM559/nk2bNrV6bciQIVx99dW7nVW+fPlyTj/9dFasWEFGRgYAOTk5B7SMfFfl8yq2i4hIhzAMg1eWFPDAxxtp8AQAOPvQDPrGRzJ7VTFFtc27nOO0WzljTF/uPHU4aXGaURBWhgGLn4RvH4LGsj33GzcDzn6s6+ISEZFeT/ll+2j8RDqOJ+Bh2qvTCIQCPHfKc0zoMyHcIcl+Crnd5F82A2tcHO5Fiw74fFtSEoPnfKmZ7iIiInJQO9D8srKyksrKyr32ycnJ4ZVXXuHWW2+l9vttgH6QkJDAQw89xFVXXbXLeQ8//DC33norVqu1pS0YDGK1WsnKyiIvL2+/7qkraBl5ERFptyZvgLvfWcN73xW3av/p8disBC6d3J/Dh6SQHheB1YJmi4Sbzw07lsLmT2HR42ab1Q6DT4BBx0FEPAw+ESo3Q0MxjDo3vPGKiIiIiHSSCHsEqZGplDSV8OjKR3nulOfCHZLsJ2tUFAPengWAv7SUhs8+x5aYSNTECVgiIrA6nbhXrKTh88+JOfoooiZPZvOkyS3nB6ur2XL0MQz5ag7WqKhw3YaIiIhIj5KSkkJKSso++02bNo26ujqWLFnC5MnmZ7DFixdTV1fHYYcdtttzZsyYwQknnNCq7eSTT2bGjBm7Lc6Hk2a2i4hImzT7glQ0eNlQWs+fPljPjppmbFYLd5wyjHPH9+PhLzazIr+W+EgH08dlctahGUQ4bOEOW35s8dPw8e2t22LS4VdLIUL/vouISNdQftk+Gj+RjvXx9o/5zde/aTn+5LxPyIzJDGNE0plCXi9lDzxA7auvtbRFjhuHEQrS5ze/IWqCVjcQERGRg0dn5pennnoqxcXFPPXUUwBce+21ZGdnM3v27JY+w4cP5/7772f69Om7vcaBLiPfVTSzXURE9ps/GGLepgre/a6Ij9aUEPrR41oJUQ6enjGRyQOSAPjzOWPCFKXsU1UuvPtLKFy8sy1lKEQkwOXvgVMzOURERETk4HTqgFN5/LvHya/PB+CUWafw96P/zsk5J4c5MukMVpeLvvfeiy0unqrvv/htXrkSgLK//pWc117TamwiIiIiHeDll1/mpptu4qSTTgLgrLPO4rHHWm9XumnTJurq6sIRXrtoZruIiOyXRduquP2tVRRWt957PTXWxeGDkrn5hKEMSIkOU3Sy35pr4cHsncdDToLznwFXbNhCEhGRg5vyy/bR+Il0vEAowPT3ppNXn9fS9t2M77BZtVJXbxasr6d05kw8mzfj25oLQOKMGaTfc3eYIxMRERHpGsov20Yz20VEZK8Kqtw8OmcLby7f0dJ22KBkbjp+CJNykrBZ9ZR/jzLr6p0/X78Y0oaHLxYRERERkW7IbrUze/psPsn7hNvnmdsuvbH5DS4efnGYI5POZIuLI/Of/wRgx8230PDpp9S8+CK2+HhSf3VDmKMTERERke5KM9tFRGS36j1+Zr63jvdXFRP4fr34iyZlcddpI4iPdIQ5OtmrmnxY9gxExMOXf4CkQRD0gbcePN8vw3PU7XDcb8Mbp4iICD0jv1yxYgUOh4MxY8xtct577z2effZZRo4cycyZM3E6nWGLrSeMn0hPduwbx1LZXAnAqstXYbVYwxyRdAUjFGLbqafhy89v1Z4+cyaRh47FnpKCxW7HlpAQngBFREREOkFvzC+7Ip9XsV1ERFqpbvLx6JwtPDs/r6VtTGY8d546nMMHp4QvMNm3de/A6jdg8ydghPbc75CL4Nynui4uERGRvegJ+eWkSZO48847Oe+889i2bRujRo1i+vTpLF26lNNPP52HH344bLH1hPET6ckK6ws57Z3TAHjgyAc4feDpYY5Iukqgqoothx+xz36uoUOx903HX7iD1JtvJnraVKxRUVjsWlBUREREepbemF92RT6vYruIiLCuuI7/fbudz9eX0eAJtLRnJUXyzwsPZVJOUhijk33ye2D+v2DufTvbHNEQlQR1hZA2Es58BGx2cMVB8qDwxSoiIvITPSG/jI+PZ8WKFQwaNIgHH3yQOXPm8OmnnzJ//nwuuugiCgsLwxZbTxg/kZ7u1rm38nn+5wB8dt5n9I3pG+aIpKsEqqupe+ddGr/5Bu/mzVicTgKlpft1bvy555J26//DnqKH1kVERKRn6I35ZVfk83rEUkTkIPfakgLuemcNP370KispkhlTs7l8Wg4RDlv4gpOdDAP+fbj585ATICIB8r4FXxMULmrd94yHYMJVYLF0eZgiIiK9kWEYhELmqjFffPEFZ5xxBgBZWVlUVlaGMzQR6QJXjbqqpdj+wJIH+Ndx/wpzRNJV7ElJJF/9c5Kv/nlLmxEKEaiopGn+fGrffBN7aiqN33yD0dyMxenE8PkAqHv7berefpuYY48l9vjjiD3lVGwx0eG6FREREZGDUlfk85rZLiJyEHtxUT6/e3ctABOzE/l/Jw6lT1wEA1KisVlVqO02NsyGbx+GomV77zf1BhhzPmSO75KwREREOkJPyC+PO+44srKyOOGEE7j66qtZv349gwcPZt68eVxxxRXk5eWFLbaeMH4ivcHj3z3Ok6ueBOD/xvwfN4+/OcwRSXdkhEIYHg9bjz+BYE3NLq8n//I60m7W7x0RERHpnnpjftkV+byK7SIiBxnDMPhwTQnPzc9jWb6Z/P/88AH87owRWDQTuvupL4Z/jmjdZrWDxQoZ4yD7MLMYf9zvYNQ5YQlRRESkPXpCfrl69WouvfRSCgoKuPXWW7n33nsBuPHGG6mqquKVV14JW2w9YfxEegN/yM/4F3c+1Pqfk/7D1L5TwxiRdHeGYVD/0Uc0zptHwyeftsx4Bxjy7TfYU1IwDINgbS0EAjSvWoVvxw6avvmWQHk5oaYmnAMHYktKJOPPf8bidIbvZkREROSg0Bvzy67I51VsFxE5iHxXWMs5j89v1Xbz8UO45YQhKrR3RxWb4IlpYAR3tt24Qnuui4hIr9KT80uPx4PNZsPhcIQthp48fiI9zcbqjVww+4KW4zVXrAljNNKTGD4fm6dOI+R2t7RZHA4Mv3//LmCz4ezXj5gTjif1xhvxbs3FX1SEIyODQFkp7mXLiRgxnOijjsKemNhJdyEiIiK93cGUX3ZkPq9iu4jIQcAwDD5ZW8ovX17R0jZ9XCbXHDmQkRn6e7xb+vhOWPxv82eLDc78F4yfEd6YREREOkFPyC8LCwuxWCz069cPgCVLlvDKK68wcuRIrr322rDG1hPGT6Q3+argK2766iYA/nrUXzl1wKlhjkh6CsMwKLn7HpoWLyJQXLLL664hQ3Bk98cWF0/z8uVYXC78ZWWEmpogENiv97BERpLz+mtEDB3a0eGLiIjIQaA35pddkc/bO+QqIiLSbTV5A1z30nK+2VLZ0nbV4Tnce+aoMEYle1WwaGehHeDm7yChf9jCEREROdhdcsklXHvttcyYMYPS0lJOPPFERo0axUsvvURpaSm///3vwx2iiHSRo/od1fLzb77+DQmuBKZlTAtjRNJTWCwWMu6/z1w6vqqKQFUVgcpKIoYNwwiFcKSl7fa8YEMDjXPnUXz77a3arbGxGB4PWK0YXi8ARnMz2886m+xXXyFq3LhOvycRERGR7q4r8nnNbBcR6YXqPX7u/2gjry4paNV+xiF9eehnh+KwWcMUmeyVvxlenA4FC3e23bwaErPDF5OIiEgn6wn5ZWJiIosWLWLYsGE88sgjvP7668yfP5/PPvuM6667jm3btoUttp4wfiK9zU+Xk/9g+gdkx+kzu3S+UHMzgcpKHH37YrHvnENlBAL4i4rYdvY5ZgH+e/Hnn0fCeefRNH8BdW+/jb+4mKhpU8l67DGs0dHhuAURERHpxnpjftkV+bxmtouI9DINHj+X/28J3xXWtrRFOKz874pJHDYoWXuzdwflG6GxFNJGwcJHYcWLEBEHNXmt+922BWJ2P7tBREREuo7f78flcgHwxRdfcNZZZwEwfPhwSkp2XQpYRHq34UnD+dex/+Lmr24G4Nm1zzLzsJnhDUoOCtbISJxZWbu0W+x2nNnZDHjzDbadex58vxd83VuzqHtrVqu+7oWL2DRhIs5Bg4g5+miSrrgcR58+rfqEfD5C9fXYU1I672ZEREREukBX5PMqtouI9BLNviCvLy3g+YX5bK9sIspp49YTh5KZEMkRQ1KIjXCEO0QBqMmHJ6bs2t5cvfPn5CFwzRyzAC8iIiJhN2rUKJ588klOP/10Pv/8c/70pz8BUFxcTHJycpijE5FwOK7/cZyYfSKf53/O0tKl4Q5HBDD3fR++ehWB4mIqnniCullvAxA1aRJxZ56Be9Fi6j/6CABfbi7VublUP/NMy/nOQYPwFRS0FOsB0u/9PYkXX9y1NyIiIiLSQboin9cy8iIiPZxhGFz/8go+Xlva0pYY5eB/V05ifP/EMEYmLQwDqrfBZ7+FTR/t+nr6IXDyfVC8EjBg2q/AauvyMEVERMKhJ+SXc+fOZfr06dTX13PFFVfwzPeFibvvvpuNGzfy9ttvhy22njB+Ir1VraeWY984loAR4L4j7uPMQWeGOySRXYR8PqxOZ8txsLGR8gf/ir+slKavv9mva2T84+/EnXaaVsoTERHp5XpjftkV+byK7SIiPVRds59op40/f7iB5xbkAdA3PoLLp+Xws0lZJEU7934B6XyGAavfgA9/Db6G1q+d+x/InABxmeCICE98IiIi3UBPyS+DwSD19fUkJu58mDEvL4+oqCjS0sK37UtPGT+R3uofy/7Bc+ueA2DppUuJsOuzvfQchs9H3fvv0/DlHGwJCURNnIgtOQnXgAH4S0oo+n+3EqypASDlphtJvf76MEcsIiIinam35pednc+r2C4i0sPkVjRyyX8WUVbvbdV+43GDuen4IThs1jBFJi18blj+HHx6166vjbsMznwUrPr/JCIiAj0nvwwEAsydO5fc3FwuueQSYmNjKS4uJi4ujpiYmLDF1VPGT6S3qvPWccRrRwDwu6m/48JhF4Y5IpGOE2pqYvu55+HLz29pS77mGlKu/yXN332He8UKDJ+fxIt+hqNv3zBGKiIiIh2ht+aXnZ3Pq9guItJDbKto5Pa3VrM8v6ZVe6TDxm/PGMGlU7LDFJm0Yhjwn+OgeMXONkcUXP0ZpI8JX1wiIiLdVE/IL/Pz8znllFMoKCjA6/WyefNmBg4cyC233ILH4+HJJ58MW2w9YfxEers/L/ozr296HYA3zniDEckjwhyRSMcxDIPt552Hd/2GPfaxxsczdNFCLTMvIiLSw/XG/LIr8nlNqxMR6QHeWFrIcf+Y16rQ/sjF45h72zGs/P2JKrSHQ1MlbP8aqnKhtgBq8uHhMfCnlNaF9nP/A3cVqdAuIiLSg918881MnDiRmpoaIiMjW9qnT5/Ol19+GcbIRKQ7uHn8zS0/3/DlDYSMUBijEelYFouFrEcfJe7004k768xWr9mSkgAI1dWx/ayzqXjscUI+XzjCFBEREdmtrsjn7R1yFRER6RSBYIgHPt7If7/dDsCg1GhOHpXOr44bTJRTf4V3uaAfFj8Fc/4Mgea99z3mbjjmjq6JS0RERDrVt99+y/z583E6na3as7OzKSoqClNUItJdxDpjOW/IeczaMouK5goWFS/isMzDwh2WSIdxZGaS+Y+/A5B2220ESkuJGDkSi91O0a2/pv6jj/Bu2YJ3yxYqH3sMgOxXXyFq3Dh+WFRVs95FREQkHLoin1elRkSkmzAMg5I6D1FOG2X1XtYV1/HGskIWbasG4PJp2dx75ihsViWoYVGTD69cCBUb99zHYoPJ18BxvwNX+PZuFRERkY4VCoUIBoO7tO/YsYPY2NgwRCQi3c3Mw2bisDp4bdNrvJf7nort0ms50tJwpKW1HGf84+/EnnIy1S+8QPOy5S3t+RdfAoA9oy+B4hISL59B+t13d3m8IiIicnDrinxexXYRkW5gbVEdv3x5OYXVu86Wdtgs/Pmc0Vw4MUtPgne1/AWw8HForoX8b3e2Z02BE2ZC/2nmbHe/G5oqIHkw6P+RiIhIr3PiiSfy8MMP8/TTTwPm7LzGxkbuvfdeTjvttDBHJyLdxYnZJ/LapteYXzyfkBHCatHujdL7Wf4/e/cdHlWZt3H8Oy29k0KAkNA7SJEOgiIgNgR7xY69rti7a2dXV3ftCrJ2QUEEQRTpIL33EgjpvWfKef/Iu2GzoUPmZJL7c1177Zznec7MPed9N8xvfnPOsVgIGz6csOHDKdu+nYpdu8j98itKVqwAwHUwFYDcyZ/jzs6h8XPPYQsJNjOyiIiINCDeqOctxn+u5XMCCgoKCA8PJz8/n7CwsNMSRESkoSoudzHi7ws4kFu90d46NoSh7WIY1SWe7s0jTUrXQFUUwy+Pw6rPqo8HRcNNsyG6jSmxRERE6iNfqC8PHjzI0KFDsdls7Nixg169erFjxw6io6NZsGABsf91hp+3+cLxE2konB4nA74cQKmrlO8u/I52Ue3MjiRiCsMwyJ/2A84DBwjo1JHsDz+idO3aqvnmkycR3Lu3eQFFRETksOpjfemNel7NdhERExmGwc2TVvLb1gwsFvjj4aFEhfgR4q8Lj5jGMOD5KDA8h8YG/wVaD4PGXcEvyLxsIiIi9ZCv1JelpaV8+eWXrF69Go/HQ48ePbjmmmsIDAw0NZevHD+RhuLOX+9kYcpCesT24JMRn2Cz2syOJGI6T0kJqc8+S8H0GdXGwy66kPCLLyagQwfsUVEmpRMREZH/qK/1ZW3X82q2i4iY6N4v1zB93UEAvr6tL31aNjI5kfDvy2DHnMrHLQbD2U9DwpnmZhIREanHVF+eGh0/kboluSCZy2ZcRomrhNfPep2RSSPNjiRSZxQvXcrBx5/AlZpafcJuJ/Kqq4i+7VbsMTHmhBMRERHVlydJp06KiHhZWn4Zr/2ylVkb0ih1ugF46Ny2arTXBX9+dKjR3vFiuHyyuXlERESkzti+fTvz588nIyMDj8dTbe7pp582KZWI1DXNw5pzbcdr+WD9B0zZPIXhicNr3LvdMAwsFotJCUXME9yvH63nzqFg1mycKSlU7NlD/k8/gctF7uefk/v55zQafzuB3boRctZZWKzWYz+piIiIyDHUdj2vM9tFRLxof04JF72ziNwSZ9XY2B7NePPybiamEgrT4KNzIT/50NgzeaAvwERERGqdL9SXH374IXfccQfR0dE0bty4WpPMYrGwevVq07L5wvETaWhSi1IZNW0ULo8LgId7PcygZoP4addPfLjhQwCahzbnp0t+UtNdGjzDMCicNYuUBx+qNm6LjKTJq68QMniwSclEREQanvpYX3qjnlezXUTECwzDYMqyfTz/02ac7so/u38Z0Y6LujUhIUr3ADdV5nb4+hrI2l653eocuGKK7s0uIiLiJb5QXyYmJnLnnXcyYcIEs6PU4AvHT6QhenPlm3y26bOjrrmt623c0/0e7wQSqeMqDqRQOGcOpRvWUzhrdtV4+CWXEP/SizrLXURExAvqY33pjXpel5EXEallW1ILGPuvJZRUVF4y3t9u5bvx/enSLNzkZA1c3n6Y9xxs/hHcFZVjI1+BPuN1RruIiIhUk5uby2WXXWZ2DBHxIXd0u4MZu2aQXZZdbbxRQKOqsQ/Wf4C/zZ8u0V3o1bgXDqvDjKgidYJfs6Y0uulGACruu4+DTzxJ6apV5E+bhqNpU2LuvsvkhCIiIuKLvFHP68x2EZFalF/iZPjf/yC9oByAB89ty/izWuFn1y+yTZOXDOu+goUTwVVaOdZmOIx6AyITzc0mIiLSAPlCfXnzzTdz5plnMn78eLOj1OALx0+kIXO6newp2MPSg0u5tO2lBDuCySrNYug3Q2us7RrTlQ/P/ZAgh66yJQKQ88UXpD//ApaAAFr/Ng97VJTZkUREROq1+lhfeqOe15ntIiK1xDAM7vt6DekF5cSF+fPN7f1IbBRsdqyGbeWn8NP91ceumALtL9DZ7CIiInJErVu35qmnnmLZsmV06dIFh6P62af33nuvSclEpK5z2By0jWxL28i2VWPRgdF8dcFXXPnTldXWrs9cT58v+nDXGXdxc+ebcdh0prs0bJFXXUX+91Mp27SJHf0H0OqX2fgl6kfyIiIicvy8Uc/rzHYRkVry+7YMbvz0TwC+ub0fvVvoF9imSd9ceV/2nN2HxvrfA0MeAz/9AEJERMRMvlBftmjR4ohzFouF3bt3H3G+tvnC8RORwzMMA5fHxTfbv+GVFa/UmLdb7FzZ/koe6PkAfjY/ExKKmK9o4SL233orAH6JiTT717/wa5GERT+YFxEROe3qY33pjXpezXYRkVqwYk8ON366guIKNzcPbMFTF3Q0O1LDZBjw3Y2wadqhsW5XwTlPQ1gT83KJiIhIFdWXp0bHT6T+eG/de7y79t0a412ju3JPj3v4dOOnLDm4hMnnTaZ7bHcTEoqYI/fbb0l76umq7ZBzziH+hed1WXkREZHTTPXlyVGzXUTkNPtlUxr3frmGLgOE2gABAABJREFUcpeHNrEhfDu+HxFBOgvBFBu+g+9vPrQ95HEYMsG8PCIiIlKDL9WXFRUV7Nmzh1atWmG31427svnS8ROR47PwwEI+3fQpB4sOklKUctg1g5oO4qWBLxEZEOnldCLmKJj9C2nPPos7Lw8AW1QUCe+/R2CXLuYGExERqUfqc31Zm/W89bQ+m4hIAzd56V7umLKKcpeHs9vHMuOegWq0m+m/z2i/8gs12kVEROSklJSUcPPNNxMUFESnTp1ITk4GKu/t9sorNS/9LCJyKgY1G8QnIz5h1phZjGoxqmo8yB5U9XhhykIe/uNhKtwVZkQU8bqwkSNou2wpif+egqNZM9w5OSTfdDOlmzaZHU1ERETqMG/U82q2i4icBh6PwSuztvL0j5vwGHBV7wQ+uK4nAQ6b2dEaDmcZzH8FkpdVbu9fAVt/qnx80xxof7552URERMSnPfbYY6xbt4758+cTEBBQNT5s2DC+/vprE5OJSH1msVh4dfCr/DzmZ36//HeWX7OcddevY0ybMQCsSFtBzyk9uX7W9ezM3WlyWhHvCOrZkxbTpuLfrh2ewkL2XXMtqU89TdHChWZHExERkTrIG/W8LiMvInKKispd3DFlFQt3ZAHw8PC23DW0NRaLxeRkDcy7fSFzS+XjmPaQufXQ3JMZYPc3J5eIiIgclS/Ul4mJiXz99df07duX0NBQ1q1bR8uWLdm5cyc9evSgoKDAtGy+cPxE5PR75I9HmLV3VrWxwc0G8+45Ne/5LlIfufPzSfnLXyhecKjJ7t+2Le68PAI6dybyyisI7NoVW0SEeSFFRER8TH2sL71Rz+vMdhGRk7ThQD4Pf7uO895awMIdWThsFt64rBt3n91GjXZv2/zjoUY7VG+0Xz9djXYRERE5JZmZmcTGxtYYLy4u1uc+ETHFa2e9xsxLZtI6ojVnxJwBwIIDC/how0fmBhPxElt4OAn/+hdN336L8LGVV3so374dV0YGRb/9xv7bbmd7337sOPtsStevNzmtiIiImMUb9bya7SIiJ8AwDG6Z9CdJj87kwncW8d2qA+zPKcVhszDppt5c2rOZ2REblnVfw7Ph8M31ldtJg+CuFdD2vMrta76DlmeZl09ERETqhTPPPJOZM2dWbf+nIP/www/p16+fWbFEpIFrHtacaRdP4/NRn3NeUmUN9Nbqt7hx9o0UVhSanE6k9llsNsKGD6fJSy/R4scfiX/pJSKvvprAnj2xx8cD4DqYyv4778Kdn29yWhERETGDN+p5+2l5FhGRBmLy0n38uiWj2lib2BAeGdme/q2iTUrVABkGPBdRc/yityGqJVz9ldcjiYiISP318ssvM3LkSDZv3ozL5eKtt95i06ZNLF26lD/++MPseCIiPNv/2arLyq9MX0n/L/vzfP/nGdliJIH2QJPTidS+gHZtCWjXFv7/LHeAsq1bSR53I+6sLHYNH0H8Ky8TMmSIrkojIiLSgHijntc920VEjtPinVlc/8kK3B6DXomRvHhJZ9rFhapIM8PU22H9fzXUr/kOWp0DVl2wRURExNf4Sn25YcMG3njjDVatWoXH46FHjx5MmDCBLl26mJrLV46fiNS+7NJsLvzhwsOe1X5xq4sJ8QthycEl7Mnfw+tnvc7IpJFV8/sL9/Prvl/pG9+XlhEt8bfpVlxSP5SsXMm+G8aB21015te6FX6JSURddy2B3btTtnEjFXv34srKJuy8kTiaNKF8xw5cWVk4mjbFv2VL896AiIiIF9XX+rK263k120VEjsPerGIufncx+aVOxnRvypuXd1OT3dt+/ysYHnCVw5K3D40/nQNWm3m5RERE5JSovjw1On4i8r8OFh1kzPQxFDuLT/o53hv2HgOaDjiNqUTMU7Z5MymPPELFzl01Jy2WyqvnHUX4mDHEv/SivgcSEZF6T/XlyVGzXUTkGIrKXXR+5hcAuiVE8PVtfQlwqLnrVRu/h+9uqjn+dK7OZhcREfFxvlBf2mw2UlNTiY2NrTaenZ1NbGws7v86W87bfOH4iYg5skqz+Puqv/Pjrh9P+jmWXLWEYEcwVovqLvF9Ffv3U/T775Tv3k3Bz7PwFBRUm7cEBoLLheF0Yg0KwlNSUjXX+PnniLz8cm9HFhER8ar6WF96o55Xs11E5Ci2pBZw9xer2ZVZeUbA8sfPIS4swORUDYhhQHEmvNHm0FinMeAXBP3uhtgO5mUTERGR08IX6kur1UpaWlqN4vzgwYO0atWK0tJSk5L5xvETEXM53U7yK/KJCojCarFiGAarM1aTXpzOlpwtdIvpRruodiSEJjBp0yTeWPlGjecItAfi9DgZmjCU7NJstuVu4/1z36dzo87YdKUx8VHOlBQMjwdHs2ZVZ627CwpwZWbil5QEFgtpL7xA3peVt7GLuPIKGj/zjM5wFxGReqs+1pfeqOfVbBcROYLt6YVc8f5SckuchAXY+XjcmZyZFGV2rIYjZw+8fUb1sRtnQ2I/U+KIiIhI7ajL9eXbb1feuuaBBx7ghRdeICQkpGrO7XazYMEC9u7dy5o1a8yKWKePn4j4pqKKIi6dcSkpRSnHtT7UL5Q3znqD/k3613IyEe/zlJSwY9BgPMWVJ2FY/P0JPedsKvYlE3H55YSNOg/D6cQepe+LRETE99Wn+tKb9bya7SIi/2NfdjE/rU/ljTnbMAyIDvHnm9v70jIm5Ng7y+lRmAZvtqs+1upsuG6aOXlERESk1tTl+rJFixYA7Nu3j2bNmmGzHTp708/Pj6SkJJ5//nn69OljVsQ6ffxExLcVVRSxIWsDTUKa8P3279mdv5v88nwKKwrZlV/z3tdrr1urs9ylXjI8HtJfeYXcyZ8fcY1/u3ZgtVK+ZQsA8S++AFYbAZ06EdCurbeiioiInJL6VF96s55Xs11E5L+89esO/vbr9qrtdnGhfH17XyKC/ExM1QCt+xqm3Vb5uPOlcMFECAg3N5OIiIjUCl+oL4cOHcrUqVOJjIw0O0oNvnD8RKR+WnpwKbfNva1q+45ud3DnGXeamEikdlXs3Uv+zJmUb91Kyeo1uLOzj2u/8IsvImToUAI6d8GvWdNaTikiInLy6mN96Y16Xs12EZH/98umNG7/fFXV9lltY3h1bFcah+se7V7lqoAXYyofD7gfzn3O1DgiIiJSu1RfnhodPxEx2/WzrmdNRuXlN7tEd+Gj4R8R5AgyOZVI7fOUlFC6bh0ApevWYY+OJu+HHyhduQpH8+Y4k5Nr7BM8aBCOxnEEduuGPT6egI4dsYWEYHE4vB1fRESkBtWXJ0fNdhFp8MqcbibO3c6HC3djGNA0IpC5Dw4myM9udrT6yzDAVQblRWCxwKxHwPBA+mbI2nZo3YNbIKyJeTlFRESk1p1offnyyy8zdepUtm7dSmBgIP379+fVV1+lXbt2R93vjz/+4MEHH2TTpk00adKERx55hPHjxx93zgMHDjB9+nSSk5OpqKioNjdx4sTjfp7TTfW5iJjN5XFx0Q8Xsb9wf9XYV+d/RafoTiamEjGfOz+fnecOx1NQcOzFFgt+rVoSc9dd2MLDcRcUEtSnN/Y6eFUdERGpv+prfVnb9bw6SSLSoM3bks59X62lqNwFwNV9mvPshZ3ws1tNTlZPGQYcWAn/Hgtl+UdfO/ZjNdpFRESkhj/++IO77rqLM888E5fLxRNPPMHw4cPZvHkzwcHBh91nz549jBo1iltvvZUpU6awePFi7rzzTmJiYhg7duwxX3PevHlcdNFFtGjRgm3bttG5c2f27t2LYRj06NHjdL9FERGfYrfa+emSn/hk4ye8tfotAK6ceSUAfxvyN4YlDjMznohpbOHhtFuxHHd+PobLReG8eTgPpFC2cQMVB1LwlJTgzsqqXGwYVOzcRcoDD1btbw0KIqhPH4J69SR8zBhsERE4Uw5SsWsn5Tt3YrjchJ47DEd8PJaAyqsyWiyWahkMw6Bs40bssbE44uK89t5FRETqCm/U8zqzXUQaJJfbwwcLd/PmnO24PQahAXZeHN2Zi8/QvbNqhWHApmnw3Y3HXusfDue/CV0vq/1cIiIiYrpTrS8zMzOJjY3ljz/+YPDgwYddM2HCBKZPn86WLVuqxsaPH8+6detYunTpMV+jd+/ejBw5kueff57Q0FDWrVtHbGws11xzDSNHjuSOO+444dyni+pzEalLPt34KRNXHTo7KNAeyLcXfktiWKKJqUTqLnd+PuU7d5I3dSoVu/dQtmULeDwY/3PW3fEKGTIEa2gofi2SKNu4iYpdu6jYtw+A0HPPxR4TQ9yjE7D4+Z3OtyEiIvVEfawvvVHPq9kuIg1OekEZt01eyboDlWdWN4sM5NcHzyLAYTM5WT1gGDDpQmjeD3pcBxHNYd8S+O4mKEw9tC5xIMR1gt63Vp697nFDgP49ERERaYj+U1/u37+/Wn3p7++Pv7//MfffuXMnbdq0YcOGDXTu3PmwawYPHkz37t156623qsamTZvG5ZdfTklJCY5j3Cc1NDSUtWvX0qpVKyIjI1m0aBGdOnVi3bp1XHzxxezdu/f43mwtUH0uInXNqvRVTNo0id/3/141dm2Ha5nQe4KJqUR8izsvj/yfZuIpLibvm29wpqRUTtjt+DVrhrugAHdOzkk9d1CvXjT/fHKNs+BFRETqY33pjXpel5EXkQajuNzFRwv38Pd52/nPz4zaNw7lq9v6qtF+usx6BPYurPzPgtcgrgukbzg037QXXPA3iO9qXkYRERGpkxISEqptP/PMMzz77LNH3ccwDB588EEGDhx4xEY7QFpaGnH/c+nUuLg4XC4XWVlZxMfHH/V1goODKS8vB6BJkybs2rWLTp0q70Wc9Z/Lv4qICAA943rSM64n/97yb15Z8QoAU7ZMYcqWKbw66FVGtRxlckKRus8WEUHUtdcA0Oi2WylesgSrnx8BnTtjDQwEqDz73WqlePlyjPIKnGmpuLOyyP5sEkZJCUH9+hJ+8cWEDjuXghnTSf/ryxhOJyUrV7K1Q0da/PgjAe3amvk2RUREap036nk120Wk3krLL6NRiB92q4Xp6w7y2uxtpOSVAhAR5ODzm/rQpVm4ySnrCcOAJf+AFR9UH//vRvsNP0GLQd7NJSIiIj7jcGe2H8vdd9/N+vXrWbRo0THXHu4epocbP5y+ffuyePFiOnbsyPnnn89DDz3Ehg0bmDp1Kn379j3m/iIiDdHV7a+mW0w3rvv5OlyGC4AJCycwd99cJg6ZqLNqRY6TxWIhZMCAmuP/fyn4/52LuffeGmsjr7qKyKuuIvujj8h4400A9t96Ky2n/4gtIuL0hxYREakjvFHPq9kuIvWK22OQnFPCK7O28Mum9Brz0SH+jD+rJZf1TCA86OiXC5UTMP1uWDOl8nHbkXDVV7BrHmyfAyVZcO7zEN7M3IwiIiJSp4WFhZ3QZeruuecepk+fzoIFC2jW7OifMxo3bkxaWlq1sYyMDOx2O40aNTrma02cOJGioiIAnn32WYqKivj6669p3bo1f/vb3447s4hIQ2KxWOgc3Zk116+hy6QuVeO/Jv/KrXNv5fwW55Nekk6/Jv3oFtPNxKQiDUejW24heNAg9l56Ga6MDLb37UfCB+/j17w5lqAgMMAeE43Faq3ax1NcjLuoGEdcrInJRURETo436nnds11E6oVV+3KZtuYAX/+5H6f78H/WLugaz1/HdCEsQE3206qsAF5vDe5yaHUOXPlvcASanUpERER8xInWl4ZhcM899zBt2jTmz59PmzZtjrnPhAkTmDFjBps3b64au+OOO1i7di1Lly49pfxmU30uIr5if+F+Rk09/CXkL251MQ/3epiIgAjvhhJpoPK+n0rqE08cds4aGoqnsBD/Dh3A7aZ81y4wDOKefILIyy7DlZ2NPS5OV6cQEamHVF+eHDXbRcTn7c8pYdBrvx927q+XdGFDSj6dmoRxTZ/mKgROVUUx7FkIoXHw50fQuBvM+kvlXKM2cPefoGMsIiIiJ+BE68s777yTL774gh9//JF27dpVjYeHhxP4//cwfeyxx0hJSWHy5MkA7Nmzh86dO3P77bdz6623snTpUsaPH8+XX37J2LFja+eNeYnqcxHxJaWuUh5b+BjzkufVmEsITeDJvk/SMaqjmu4iXuDKzCTloYcpWbHihPf1a92KRjffgqNJEzzFxQSd2QtbaGgtpBQREW9SfXly1GwXEZ936+SVzN1cecn4cf2TuLJ3AtvSCjmnQxwh/rpbxik5uAZSVoHHAys/gcwtR17b9UoY8773somIiEi9cKL15ZF+PPnpp58ybtw4AMaNG8fevXuZP39+1fwff/zBAw88wKZNm2jSpAkTJkxg/PjxR3ydyMjI4/6hZk5OznGtqw2qz0XE1y08sJB7frsHt+EGwGax8WDPB7m247VYLdZj7C0ip8pwOsFmw52fjzUwkPSX/oqntBR7dDQBnToR1LMH+T/+SNa/3sOoqDj8k1it+LVsQZNXXsXRJB7bCXyOEhGRuqO+1JferufVbBcRn/b50r089eMmACbd1Juz2saYnMhHGQbsX1HZXM/ZDfkHwFkMu+cfe197IDRqBbf+Bnb/Wo8qIiIi9UtdrS8nTZp03GtvuOGGWkxydHX1+ImInIglB5fw6opXSS5IxmW4AGgX2Y6/DvorbSPbmpxORAA8paWV/ykpJfvjjyhesBCLw4G7uAh3Zla1tQEdO5Lw8UfYIiLUdBcR8SH1pb70dj2vZruI+CTDMHjo23VMXZ0CQIf4MGbdN8jkVD7C7YJ5z0FwdGWjfNdvsH3W8e3bpAdc/TUEx4DhAYtVl40XERGRU6L68tTo+IlIfeIxPHyy8RM+XP8hJa4SAFpHtOb2brczPHG4znQXqaMKf/uNrHf/ScXevXiKi6vGg/v3I+Hjj9VwFxHxEaovT46a7SLic9wegwnfr+e7VQeqxhZNGEqzyCATU9VxWTsheSmsngQH/jz62tAmlWeqtzsPottCq7PBavNOThEREWlwVF+eGh0/EamPduft5uIfL6421iGqAy8OfJEfdv7A1B1TGddpHOe1OI/EsESTUorI4WS8+SbZH35UtR105pkE9e5NYLeuBHbrhi083MR0IiJyNKovT46a7SLiU/7y7Tq+/a8me/9Wjfj85j7YrPqF7BGtngw/PQAeV805mx84AuGCv0NcJ4hp5/V4IiIi0rCpvjw1On4iUl/ll+fz7fZvmbtvLjtyd+D0OA+77o2z3mBE0ggvpxORo3FlZXHw0ccoXrSoxlzoiBE0/dtELFZdqUJEpK5RfXly1GwXEZ+x+WABo95eWLXtZ7eyaMJQYkMDTExVR7nKYf3XsOQfkLW9ciy2I8R3gybdoctlEBRlbkYRERERVF+eKh0/EWkIUopSuGHWDaSXpFeNOayOag34z8/7nDNizzAhnYgcjmEYFP76KyXLllOxbx9lGzbgzs8HIKBLFwK7n0Gjm2/BYrPizsvDv3VrkxOLiIjqy5OjZruI+ITichednvmlavv6fok8e2EnrDqjvabyQvj8kuqXiz/jWrjobV0OXkREROoc1ZenRsdPRBqKwopCtuZspVOjTgQ5giioKGDAlwOqrfn+ou9pG9nWpIQicjSGYZD66GPk//jjYedt0dFE3347kddeo3u8i4iYRPXlyVGzXUTqvJ0ZRQyb+EfV9k/3DKRzU93fqYZ5L8D6b6A4E1yllWNNukPfu6DrZeZmExERETkC1ZenRsdPRBqyCncFf1v1N6ZsmVJt/INzP6Bfk34AZJVmsSp9Fa3CW9E6UmfOipjJMAwy3niDnI8/OeIae+PGOOLjCb9kNBGXXabGu4iIF6m+PDlqtotInffA12uZtiYFgLeuPIOLz2hqcqI6piwf3joDSnMOjdkDYOxH0OFC02KJiIiIHI+6Wl+OGTPmuNdOnTq1FpMcXV09fiIi3jRtxzSeXvL0MdcNTxzOTZ1v4pONnzAkYQgXtlLNLGImw+3GqKjAnZdHzuTPyfv6azwlJVXz4aNHE//8c1j8/ExMKSLScNSX+tLb9bz9lJ9BRKQW/bo5varR/sWtfejfKtrkRHVAwUGYehvsXXiYSQtc+33lvdmDdaxERERETlZ4+KErKRmGwbRp0wgPD6dXr14ArFq1iry8vBMq4kVEpHZc0uYShicNZ0v2Fm785cYjrpuzbw5z9s2perwwZSGvDX7NWzFF5H9YbDYsgYFYAwOJm/AI0XfdReGcORTOnUvR77+T/8MPFC1YQOxDDxE+5hKd5S4iIsfF2/W8zmwXkTqrpMLFoFd/J7u4givPTOCVsV3NjmQuw4CVH8PMh2rOWR2VzfV714Aj0PvZRERERE6SL9SXEyZMICcnh/feew+bzQaA2+3mzjvvJCwsjNdff920bL5w/EREvGl95nrm75+P3WpncLPBRAVEEeEfwaMLH+X3/b8fdp/3h71P/6b9vRtURI4q99tvyZz4N9y5uQDYY2OJuPRSggcOxL9tG2whISYnFBGpf+pjfemNel7NdhGpsz5bvIdnZ2wGYM1T5xIZ3EAvGeXxwAeDIW1D9fHotlCUAb1uhLMmqMkuIiIiPskX6suYmBgWLVpEu3btqo1v27aN/v37k52dbVIy3zh+IiJ1gcvjYsauGQxsOpBgRzB9vuhTbf5vQ/7GsMRhJqUTkcPxlJeT+fbb5E7+HMPprBq3RUQQcfnlYLEQ0LkTIYMGYQ0IMDGpiEj9UB/rS2/U87qMvIjUSTvSC6sa7S9c3KnhNtqdZfBSXM3xcTMhaaD384iIiIg0QC6Xiy1bttQozrds2YLH4zEplYiInAi71c4lbS6p2l581WKumHEFB4oOAPDA/AeYetFU2kS2MSuiiPwPq78/cX/5CzF3303R77+T++23lCxfgTsvj+wPPqi2NvLqq4md8AhWf3+T0oqISF3kjXpezXYRqXP+vXwfT0zbCEBioyAu65VgciIvczvBVQY75sJ3/3WvOZsf3LkMGrUyL5uIiIhIA3TjjTdy0003sXPnTvr27QvAsmXLeOWVV7jxxiPfG1hEROquML8wZo2dRX55PgO/qvwx+5jpY+jcqDMxQTE83Othmoc1NzmliABYAwMJGzWKsFGj8FRUkD/tB0rXrcOVnUXxHwsAyP3iC/K++46EDz4guG+fYzyjiIg0FN6o53UZeRGpU3ZnFnH2m38AkNQoiC9u7UuTiAZ0efRdv8Hnl9QcH3AfnPu89/OIiIiI1DJfqC89Hg9vvPEGb731FqmpqQDEx8dz33338dBDD1Xd980MvnD8RETqum0527h0xqXVxgY1HcQ/h/3TpEQicrycKSlkffAheV9/XTUW0LEjsQ8/hDUsnIB2bbE4HCYmFBHxHfWxvvRGPa9mu4jUKYNf+53knBIAlj9+DnFhDeh+Symr4MOza44PeRyGTPB+HhEREREv8LX6sqCgAKDOZPW14yciUlftzN3JJdOr//j9/XPfp3+T/iYlEpET4crNZf+tt1G2cWONueD+/QgeNBjD6aR82zbchQWEDR9OUN9+OJo2wWKxmJBYRKTuqe/1ZW3V82q2i0idMWdTGrd9vgqAr2/rS5+WjUxO5EUeN7zTC3J2V25f+BZ0uxowwK57TYmIiEj95Sv1pcvlYv78+ezatYurr76a0NBQDh48SFhYGCEhIabl8pXjJyLiC5weJw6rgxtm3cDqjNXEB8cz45IZ+NtUl4v4AsPlIvujjyleupSS5cuPax97fDz2yEgcTZsSfsklBPfvh/PAAayhoTji4vCUVJ4UZA0Kqs3oIiJ1Qn2tL2u7nlezXUTqhMIyJ12enQNAgMPK1hfOMzmRl239Gb66qvLxmA+h6+Xm5hERERHxEl+oL/ft28fIkSNJTk6mvLyc7du307JlS+6//37Kysp47733TMvmC8dPRMTXHCg8wHlTq38vkRiWyL9H/Ztw/3CTUonIiTA8HjAM8r79jrJtW3EdTMUaEoJ/m9a4cnIoXriIij17jv4kdju4XGC3E9C2LcGDBxF9xx1Y/fUDHBGpn+pjfemNet5+GnKKiJwSt8eoarQDfDe+AV2irSiz8h7t6Rsqt/veqUa7iIiISB1z33330atXL9atW0ejRoeuvnTJJZdwyy23mJhMRERqQ7PQZrw99G3u/f3eqrF9BfsY+NVAfrrkJxLDEk1MJyLHw2K1AhB55RVHXOPOz6do4SI8pSWUrlxF/syZlc31//jPY5eLss2bKdu8mZxPPyNk8CD8kloQctZgAjp3xhrQgG6DKSLiY7xRz6vZLiKmyiws58yXfgXAbrXw2Y296dy0Af1K/I9XDjXa/cNg8F/MzSMiIiIiNSxatIjFixfj5+dXbTwxMZGUlBSTUomISG0a2nwol7e9nG+2f1Nt/IJpFwDQJboLd51xFwOaDjAjnoicBrbwcMIvOB+AyMsuI+6JxzHKy7FFR+POy8MoLcUaEkL5tm1kTPwbpWvXYpSXUzi38rvM7A8/BLudkMGDCRk0EMMwMMrKMSoqsDgc+LVsQUCHDjgaNzbzbYqINGjeqOfVbBcRU320cHfV40fPa8/ANtEmpvGyLT/Bnx9VPu56JYx8GYKizM0kIiIiIjV4PB7cbneN8QMHDhAaGmpCIhER8Yan+j3FU/2eAmBz9mYemv8QB4oOALAhawPjfx1Pr7hePNbnMYqdxZwRcwYWi8XMyCJyCmz/dclke2QkREYCEHTmmSR9+QWGYVC8YAElq1ZTunYtpRs3YpSUUPTbbxT99tsRn9feJJ6o66/HFhGBKz2Dsi1bKJo3D1tUFAGdOhHcpzfYKls17vw8rEHBhAwcgF+LFljsauGIiJwKb9Tzume7iJhmb1YxI99aQJnTw/3D2nD/sLZmR/IOjxvWfgHT767cbnU2XDfN3EwiIiIiJvGF+vKKK64gPDycDz74gNDQUNavX09MTAwXX3wxzZs359NPPzUtmy8cPxGR+sIwDPYV7GP23tm8u/bdw675bORn9Izr6eVkImIGw+0m4403qdi9G4ufA7Bg8fPD4ueHUV5G4bzfMMrLT+k1rMHBeIqLafq3iYScdRbWoKDTE15E5DDqY33pjXpezXYRMc19X63hx7UH6dsyii9u6YvV2gB+/b3wTZj3fPWx2xdCfFdz8oiIiIiYzBfqy4MHDzJ06FBsNhs7duygV69e7Nixg+joaBYsWEBsbKxp2Xzh+ImI1Ecew8OMXTP4Zvs3rM9cX22ub3xfJg6ZSKifrn4i0pAZTic5U/5NyZ9/4s7PB8PAL6EZAP5t24HVivPAAUpWLMceG4fl/y9xXLRoETidh33OyKuvJqBTR4J69sQvKclbb0VEGoj6WF96o55Xs11ETJFTXEHfv86jwu1hxt0D6dKsAdynvTQXXk2qPnbfOohMOtxqERERkQbBV+rL0tJSvvrqK1atWoXH46FHjx5cc801BAYGmprLV46fiEh9llqUSkFFAZ9u+pSZu2dWjf9r2L8Y2HSgiclExBcZTiee8nJcmZmUb99B3vffUbxgYY11IUOHEnP//dgiIrCFh2ENCDAhrYjUJ/W1vqztel7NdhExxQcLdvHXn7fStVk40++ux4VnYTq82RYCo6A059D4hW9B9+vAajMvm4iIiEgd4Av15YIFC+jfvz/2/7lnpsvlYsmSJQwePNikZL5x/EREGpKZu2fy6MJHq7YvbXspT/R5ArtV910WkZPnKS0l/eVXqNi7l5IVK2rMW/z8CBs1ivi/voTFajUhoYjUB/WxvvRGPa+/uiLidR6PwRfLkwG4undzk9PUsuXvVf73fzfaw5pCz3FqtIuIiIj4iKFDh5KTk1NjPD8/n6FDh5qQSERE6qrzW57PG2e9gdVS+bXrd9u/4/a5t1NUUWRyMhHxZdbAQOKff47EyZNov2UzsY9OqLrsPIBRUUH+Dz+Q+vgTJqYUETmy3NxcrrvuOsLDwwkPD+e6664jLy/vmPtt2bKFiy66iPDwcEJDQ+nbty/JycnH/breqOfVbBcRr1u6O5u92SWE+Nu5sFsTs+PUrk1TDz2Oblf533csNieLiIiIiJwUwzCwWCw1xrOzswkODjYhkYiI1GUjkkaw7vp1/HXgX/Gz+rEibQXDvx9e497uIiInw2Kx0GjcONqvX0f79etou2I5cY8/DkD+Dz+wpX0Hdg47l+LlK/CUlpqcVkSk0tVXX83atWuZPXs2s2fPZu3atVx33XVH3WfXrl0MHDiQ9u3bM3/+fNatW8dTTz1FwAncNsMb9byuXyQiXvfv5fsAuKR7U4L968mfoe9vgQN/Qu7eyu0e14M94ND2zXMhobdZ6URERETkJIwZMwao/EJz3Lhx+Pv7V8253W7Wr19P//79zYonIiJ13IWtLqRxcGNu+uUmCisKuebna/hl7C80CannJx6IiNdY/Pyw+fkRdf11uAsLyPrHOwA4Dxwg+YYbsMfF0fipJwkdNszkpCLSkG3ZsoXZs2ezbNky+vTpA8CHH35Iv3792LZtG+3atTvsfk888QSjRo3itddeqxpr2bLlcb2mN+v5etLlEhFfkVFYxpxN6QBc3aeeXEI+cxts+Lb62OrJhx7HdYGmPb2bSUREREROWXh4OFD5S/jQ0FACAwOr5vz8/Ojbty+33nqrWfFERMQHnNn4TCaNnMQNs28AYMT3I1h81WLC/OrHfVBFpO6IuesuQs8+m7Jt20h99DEAXOnpHLj7HgAirrgCT2EhFfv3YwsLI+a+ewns2tXMyCJSRxUUFFTb9vf3r9asPlFLly4lPDy8qtEO0LdvX8LDw1myZMlhm+0ej4eZM2fyyCOPMGLECNasWUOLFi147LHHGD169DFf05v1vJrtIuJVr8/ehstj0KN5BB3ifbywLM2F9wdD3mHuD9L+AkhdB1Et4OpvdX92ERERER/06aefApCUlMTDDz+sS8aLiMhJ6RHXg4+Hf8zNc24GYMCXA3iu/3OMbj0aq8WKx/CQXZpNTFAMJc4S7FY7fjY/3B43Nn2fICInIKBDBwI6dCBi9GicGRkcfPgvlKxYAUDe119XW1u6Zg0JH31EYPczDnuJZRFpuBISEqptP/PMMzz77LMn/XxpaWnExsbWGI+NjSUtLe2w+2RkZFBUVMQrr7zCiy++yKuvvsrs2bMZM2YMv//+O2edddZRX9Ob9bzFMAzjRHcqKCggPDyc/Px8wsJ8vFkmIl6TWVjOmS/9CsDrl3blsl4Jx9ijjvJ4oDQH3u0DJVmHxi/6R+Xl40VERETkuKm+PDU6fiIivmNd5jrunnc3eeV5VWNtI9uyPXc7AIlhiewrqLz1XnxwPFmlWYxMGsnDZz5MVECUGZFFxMcZhkHZ+vVkf/IpFrsdv8Tm2CKjSH/ppao1fklJNJ34JgEdO5qYVETqgv/Ul/v3769WXx7pzPZnn32W55577qjP+eeffzJnzhwmTZrEtm3bqs21adOGm2++mUcffbTGfgcPHqRp06ZcddVVfPHFF1XjF110EcHBwXz55Zcn+vZqjc5sFxGvuf/rNQAEOKyM7dHM5DQnyTDg62th28xDY4FRlfdkj25tXi4RERERqVXfffcd33zzDcnJyVRUVFSbW716tUmpRETEl3SL6cYX53/BB+s/4IedPwBUNdqBqkY7QGpxKgAzds9g1t5Z3NrlVm7qfBMB9gCvZhYR32axWAjs1o1mb/292njI0CFkvftP8qdNo2LvXvaMGUtQr15YQ0MpXryYkCFDcDRtii0qkuC+fQns0sWU/CJijrCwsOP6Mffdd9/NlVdeedQ1SUlJrF+/nvT09BpzmZmZxMXFHXa/6Oho7HY7Hf/nh0AdOnRg0aJFx8z232q7nlezXUS8IquonOW7cwB456oeWK0+emmi1HXVG+0Af9mpy8SLiIiI1GNvv/02TzzxBDfccAM//vgjN954I7t27eLPP//krrvuMjueiIj4kITQBF4Y8AJ3n3E3s/fOxulxEhcUR9vItiw5uIT4kHgOFh3EY3jws/rx+srXcXlc/Gvdv5i0aRIDmw4koySDvPI8zk08lwNFB5i1ZxYAl7S+hGf6PaNLz4vIMfk1a0aTl/9K9J13kHzTzTj376dk5cqq+cI5c6oeZwLWkBAir7qSmPvvx2LT3xgRqRQdHU10dPQx1/Xr14/8/HxWrFhB7969AVi+fDn5+fn079//sPv4+flx5pln1jgbfvv27SQmJh53Rm/U87qMvIjUuozCMh78eh2LdmbRLSGCH+8aYHak45eyGvL3Q5vhYA+Af18GO+dCyyEw6k2IaA52P7NTioiIiPgsX6gv27dvzzPPPMNVV11FaGgo69ato2XLljz99NPk5OTwzjvvmJbNF46fiIicvGJnMdN2TOOdte9Q7Cw+5von+zzJFe2v8EIyEakvjIoKSlavoXznTtz5edgiIynfvh13djaFc3+ttjb4rMHE3n8/AR06mJRWRGpTbdaX5513HgcPHuT9998H4LbbbiMxMZEZM2ZUrWnfvj0vv/wyl1xyCQDTpk3jiiuu4N1332Xo0KHMnj2b+++/n/nz5zNw4MDjel1v1PNqtotIrXK5PZz/9iK2pRcC8Mm4Xpzd/vCXBalzkpfDJ8NrjlvtcNcKaNTK+5lERERE6hlfqC+DgoLYsmULiYmJxMbGMnfuXLp168aOHTvo27cv2dnZpmXzheMnIiKnblvONr7a9hVLUpYQGRDJ3oK9lLnKaBnRkh25O6qt/Xj4x/SO721SUhGpb8p37aLojwVkvPkmuN1Y/PxI+uZrAtq3NzuaiJxmtVlf5uTkcO+99zJ9+nSg8t7r77zzDhEREVVrLBYLn376KePGjasa++STT3j55Zc5cOAA7dq147nnnuPiiy8+7tf1Rj2vy8iLSK0pKHNyy2crqxrt957ThqHtYk1OdQweDyx5GzZ8C+kbD79m2HNqtIuIiIg0II0bNyY7O5vExEQSExNZtmwZ3bp1Y8+ePZzE79dFREROWLuodjzT75kjzhc7izn7m7MpcZVw85ybubbDtTzc6+GqS8pvytrE0tSl3Nz5ZiwWH721n4iYwr9VK/xbtSKwW1fSnn+B8m3b2DP6Elr+/DP+LVuYHU9EfERUVBRTpkw56prD1dc33XQTN91000m/rjfqeTXbRaTW/HXmFlbsrbxP+2Pntef2s+p4g9rthMmjYd+iQ2PNesPIVwADSvMgvhuExJgUUERERETMcPbZZzNjxgx69OjBzTffzAMPPMB3333HypUrGTNmjNnxRERECHYE891F3zFq6igApmyZQpm7jNu73s6H6z/km+3fAPDTrp/4eMTHNApsZGZcEfFBQT17kjh5ErsvvAhXRga7R40isFdPHI3j8RQW4srLJfjMMwno3IXgAf2x+vuDxULZpk248vII6t4dW3i42W9DRBoYb9Tzuoy8iNSK3ZlFnPu3Bbg9Bv+4qjsXdmtidqSjc5XD1Ntg8w+V210ug+7XQtJgsFpNjSYiIiJSn/lCfenxePB4PNjtlb9X/+abb1i0aBGtW7dm/Pjx+Pn5mZbNF46fiIh4z7zkeUxcOZHkwuSjruvTuA/vnfsedqvOxRKRE1O2bTv7rrsOT0HBCe9ra9QIR+PGOA8cwJ2fD0BQr16EXXAB7oICgs7sRVD37qc7sogcp/pYX3qjnlezXUROu71ZxQx5Yz4Ag9pE8/nNfcwNdCylufDWGVCWV7l97vMw4D4zE4mIiIg0GKovT42On4iIHM5nGz/jzVVvAtAush0Tek/AarEybva4autiA2MZ2WIk7aPa0zSkKUXOIvLL80kvSScmMIbhScMJtAea8A5EpC5z5+VRMHs2ZZs2YY+JAasNZ0oKnrJSCmfNrrbWGhwMFgueoqLjeu7g/v3BbiOoZy9CBg3Ev107LDZbbbwNEfkfqi9PjprtInJalbvctHvy0AeqH+8aQLeECPMCHcu+JfDpeYe2R70BvW81L4+IiIhIA1NX68v169cf99quXbvWYpKjq6vHT0REzLcoZRFB9iDOiD0Dq6Xyqn0uj4vb597OirQVx/08G27YUFsRRaQeMpxOXFlZWAICMMrLK5vxhkHxkiVgtWE4KzDKyynbuBEcDlypaThTUynbuhXP/5/t/t8COnak8fPPE9i5kwnvRqRhqS/1pbfreTXbReS0Wbc/j4vfXQxAoMPGx+N60b9VtMmpjsAwYPo9sObzQ2Oj34MzrjIvk4iIiEgDVFfrS6vVisVi4Vgls8Viwe12eylVTXX1+ImISN1WWFHI+F/Hsz7z2F9Gv3vOuwxuNtgLqUSkITMMg9K1a6nYu4/yrVsoXbuO0nXrquajbrieqOuvx9G0qYkpReq3+lJferueV7NdRE6L/TklnDPxDypcHgBeHN2Za/smmpzqf7idkL0TyotgzpOwf1nleJfLYfgLENrY3HwiIiIiDVBdrS/37dt33GsTE8373FtXj5+IiPiOCncFSw8u5czGZ2K1WPG3+WOxWLh73t38ceAPWoS34PsLv8dhc5gdVUQamNKNm8h44w1Kli2rGgsfPRpbeDgBXbsQNmoUFovFxIQi9Ut9qS+9Xc+r2S4ip2zi3O28PW9H1fYrY7pwZe/mJib6H4YB31wPW6bXnDv7KRj8sPcziYiIiAig+vJU6fiJiEhtKagoYNTUUeSX5zO2zVie7f+s2ZFEpAEyDIP8H34k++OPqNi5q9qcf7t2RN91JyEDBlTeG15ETonqy5OjZruInDTDMLhjympmb0oDIDLIwdQ7B9Aiuo59sFn9OUy/u/pY62Fw3mvQqJU5mUREREQE8I36cvLkyUedv/76672UpCZfOH4iIuK7pu2YxtNLnq7avrPbndxxxh0mJhKRhsqVk0PuF19iVFTgzssj75tvqs0HDxhAyFlnEdS3D36JiVj9/U1KKuK76mN96Y16Xs12ETkppRVu7vlyDb9uSQegaUQgvz88BD+71eRk/+OnB2DlJ5WPbf7w0Faw2iAg3NxcIiIiIgL4Rn0ZGRlZbdvpdFJSUoKfnx9BQUHk5OSYlMw3jp+IiPgup9tJjyk9qo2N6zSO+3vcz/wD89mZu5NL215Ko8BGJiUUkYaqfNcust79J0WLFuEpKKgx70hsTlD3HljDQgnu04fQc84xIaWIb6mP9aU36nk120XkhBWWObn2o+WsO5APwMhOjXn3mh7YrHXo/jgeN/zxGvzxyqGxR/ZAUJR5mURERESkBl+tL3fs2MEdd9zBX/7yF0aMGGFaDl89fiIi4jsWpyxm/K/jjzgf4ghh6dVLvZhIROQQwzAoXryEwl9+oXz7dsp27MAoKamxzr9dO/xbt8YvKYnIa6/B/j8NOBFpOPXl6a7n1WwXkROyMSWfC/6xCIBQfzsf3tCLvi3r4K+Xl74Lvzx+aPuOJRDXybw8IiIiInJYvlxfrly5kmuvvZatW7ealsGXj5+IiPgWp8fJDbNuYEPWhhpzn474lF6Ne5mQSkSkOsMwcKWnU7RgAa60dErXrqF4SfUfBDmaNiV2wiOEDhmCxc/PpKQidU9Dqi9PZz1vPw15RKSBSMkr5eoPl1Vtv3hJ57rXaE/fDO8NAMNzaGzkq2q0i4iIiMhpZ7PZOHjwoNkxREREvMJhdfDBuR/wycZPOCP2DAY2HcjQb4aSU5bDjb/cSGxgLLPGzsJhdWCx1KGrH4pIg2KxWHA0bkzk5ZdXjTlTUyn4eRbOtDTyvv4aZ0oKKffehzUoCEfTJkRceimBPXoQ0L49FofDxPQi4i2ns57Xme0iclwO5JYw8NXfq7bnPDCYtnGhJiY6gokdoSCl8nFIY7hvLTgCTY0kIiIiIkfmC/Xl9OnTq20bhkFqairvvPMOCQkJzJo1y6RkvnH8RESk/kopSmHk9yOrjfWI7cG/hv2LIEeQSalERI6sdOMmcj77jOJly3BnZVWbszgcOBISwGrBnZWNp6wM/zZtCBk0EEfz5tijonA0aYKjeXOsOiNe6qH6WF96o55Xs11EjskwDK74YBkr9uTgb7fy28NDaBpRxxrYycvgyyuhNPfQ2C2/QbOe5mUSERERkWPyhfrSarVW27ZYLMTExHD22Wfz5ptvEh8fb1Iy3zh+IiJSv+0v2M/dv93N7vzd1cavan8Ve/P3sjR1Ka8OepVRLUeZlFBEpCZPWRllGzZQ/OeflK5cSemGjXgKC497//CxY4h77HFsIcG1mFLEu+pjfemNel7NdhE5po8W7ubFmVsAmHZnf7o3jzQ50f/I2AqfDIey/MpteyA8mWZuJhERERE5LqovT42On4iI1BX7C/fz675fmbhqYo252KBYZl4ykwB7gAnJRESOzXC7Kd++HXdhIbjd2Bo1wnA6KV60mKL586lITsYeFUn5jp1V+9giI4l54H7CL7oIa4D+vonvU315ctRsF5GjSi8oY/Brv1Pu8vDUBR25eWALsyNVZxjwz36QWfljALpdDRe9DTbdW0dERETEF6i+PDU6fiIiUtdsytrElTOvJMQRwtnNz2b6rsrLt97X4z5u6XKLyelERE6Np6SEgp9/JvXpZ8DjAcAaHEz46NGEX3IJAe3a6r7v4rNUX54cNdtF5IjKXW66PTeHMqeHXomRfDu+HxaLxexY1a38FH66v/LxfeshMtHUOCIiIiJyYnyhvjQMg++++47ff/+djIwMPP//pdp/TJ061aRkvnH8RESkYTIMA4vFwrQd03h6ydNYLVYmnzeZbjHdzI4mInLKXFlZZP7jHQp//RV3dnbVuCUwEEdcHMH9+xPzwP3YQkNNTClyYupjfemNet5+ys8gIvXWO7/tpMxZ+YfnpoEt6l6jfd/SQ432fner0S4iIiIiteK+++7jgw8+YOjQocTFxdW9z8UiIiJ10H/+vRzdejRLDy5l1t5ZXPvztVzR7gqe7PukyelERE6NPTqa+OeeJe7xxyic+ys5kyZRsXs3nuJiKvbupWLvXnK/+AJ7XBz+rVvj37o11rBQArt0IXjgQCz/cx9pEakd3qjndWa7iBxWSl4pZ78xn3KXh4SoQH57aAgOWx36AOB2wuutDt2n/faFEN/V3EwiIiIicsJOtL5csGABr7/+OqtWrSI1NZVp06YxevToI66fP38+Q4cOrTG+ZcsW2rdvf1wZo6KimDJlCqNGjTqu9d6k+lxERHxBdmk2Q74ZUrV9RbsreKz3Y9isNvNCiYicZobHQ/mOHRQvXkL2Rx/hzsk57Dr/Dh2IvPJKAtq3wy8pCWtYmH7QK3VCfawvvVHP68x2EanBMAxu+GQF5S4PfVpE8dVtfeveP/ap6w412q/4txrtIiIiIg1EcXEx3bp148Ybb2Ts2LHHvd+2bduqfVkQExNz3PuGh4fTsmXLE8opIiIihzQKbMSyq5dx3azr2JG7g6+3fc2q9FVM6D2BvvF9zY4nInJaWKxWAtq1I6BdO6JuuB5XVhbOgwcp27IF5/4DuPPyKPjlF8q3bCHtmWcO7RcUhKNxY/xbt8avZQssfn64c3Lxb9OG4AED8GvW1MR3JeLbvFHP68x2EammpMLFv+bv4h+/7QTgp3sG0rlpuMmpDuO3F2HB69BuFFz1pdlpREREROQknUp9abFYjvvM9tzcXCIiIk4q46RJk5g9ezaffPIJgYGBJ/UctUX1uYiI+BLDMJiyZQr/WPMPSl2lAMQGxfLZiM9ICEswOZ2ISO1zZWWR/emnlG3aTPnOnbizso663hIYSNS11xIy5Cz827XDFhLipaTSENXH+tIb9bzObBcR3B6Dfi/PI6OwvNp4v5aN6majPXVdZaMdoLl+/SwiIiJSHxQUFFTb9vf3x9/f/7Q9f/fu3SkrK6Njx448+eSTh720/JFcdtllfPnll8TGxpKUlITD4ag2v3r16tOWU0REpD6zWCxc1/E6zk08lzdWvsEve38hoySDUdNG8cqgVzi/5flmRxQRqVX26Gji/vKXqm1PWRmutDQqUlIoXbsWV1o6FcnJlG3ciKe4GKO0lOwPPyT7ww+xBAQQ3L8/jW4cR2CPHlhsuhWHyLF4o55Xs11EeOe3nTUa7e0bh/LpjWealOgofn0OFk08tN3pEvOyiIiIiMhpk5BQ/Wy2Z555hmefffaUnzc+Pp4PPviAnj17Ul5ezueff84555zD/PnzGTx48HE9x7hx41i1ahXXXnstcXFxde8WSyIiIj6mcXBj3jjrDca0HsOTi58kszSTRxc+SogjhLMSzjI7noiI11gDAvBLSsIvKYmQAQOqzRkuF/k/Tidv2lTKd+zEk59P0W+/UfTbb1gcDkKGDiXuySdwxMaalF6k7vNGPa/LyIs0UE63h1snr2TzwYJqjfZx/ZO4tm8irWKC69aXiM4y+PUZWP7eobErpkCHC83LJCIiIiKn7D/15f79+6vVl8dzZvvxXEb+cC688EIsFgvTp08/rvXBwcH88ssvDBw48IRexxtUn4uIiK8rqChgwJeVDSYLFu7tcS83d765bn0vJSJiMsMwKFnxJxmvvkrZ5s2HJmw2Atq3J+7JJ7BHReFo1kxnvMtJq4/1pTfqeZ3ZLtIAZReVc+l7S9mTVVw1NqZHUyZefoZ5oY6mMB3+PRbSNhwau2MJxHUyL5OIiIiInFZhYWFeK+b79u3LlClTjnt9QkJCvfmiQUREpK4J8wtj1bWreGXFK3y7/VveWv0Wu/J28fyA53FYHcd+AhGRBsBisRDcpzctpn6Pp6SEooWLSH/lFVypqZRt2sS+q64GwJHYnIC2bXEXFOLKzCSgcyeirruOgPbtsTj0N1UaHm/U82q2izQQk5fu5YMFuzmQW1ptPCLIwdntY3nmgjrYuPZ44Ic7YP1Xh8ZiO8L4xWC1mpdLRERERE5JWnEakzZNYlHKIjJyMrz++mvWrCE+Pv6417/55ps88sgjvPfeeyQlJdVeMBERkQbKz+bHU32fom1kW15Z8Qo/7f6J/YX7+WTEJ/jZ/MyOJyJSp1iDgggbMZzQc4eR+dbb5E+diuF2487JwbkvGee+5Kq1Fbt3UzB9BlitNP/kE4L79jExuYj3eaOe12XkReo5wzAY+feFbEsvrDH3wXU9Gd6psQmpjkNeMnx3MxxYUbntCIbet8KQx8ARYG42ERERETkhbo+bTdmbyCzJ5Lf9v/Hz7p9xGa7KuVI3W+7Yctz1ZVFRETt37gSge/fuTJw4kaFDhxIVFUXz5s157LHHSElJYfLkyQD8/e9/JykpiU6dOlFRUcGUKVN45ZVX+P777xkzZsxx5Y+MjKSkpASXy0VQUBCO/zkjJCcn50QOx2ml+lxEROqbufvm8uD8B6u211+/XpeUFxE5Dq6sLApmzcZTXIStUSNK167FlZpK8ZKlVWui770Ho7yC0rVrKd+9C4DGTzxJ6NlDMdxuXBkZGG4PzpQUKpL34c7OoXznTlw52QBYLFZsjRoRccloggcP1t/neqY+1pfeqOd1ZrtIPWYYBg99s65ao/3WQS1oFhnE1X2a47DV0bPDPx8Du+Yd2u5yOYz90Lw8IiIiInJc3B43Rc4ikguS2Z2/m4PFB9mZu5OV6SvJKatewJ7Z+EyuaHcFcdY4utP9uF9j5cqVDB06tGr7wQcrv4y/4YYb+Oyzz0hNTSU5+b/O5Kio4OGHHyYlJYXAwEA6derEzJkzGTVq1HG/5t///vfjXisiIiKn5tzEc3l10KtMWDgBgO93fM+lbS81OZWISN1nj44m6rprq7YjL7sMAGdGBnsvvwJXWhpZb/+jxn4p999/wq9VOHs2loAAgvv1wy8piagbrsfRuI6e2CcNmjfqeZ3ZLlJPLdyRyYs/banWaN/50nnY62qDHaAsH766BvYuPDR27ffQeph5mURERESkhoySDHbm7WRH7g5WpK1g2cFlGBg4Pc4j7hPiCCEuKI4uMV24rO1ldI3pCqi+PFU6fiIiUl/dMOsGVmesJjYoljlj52Cz2syOJCLiswp+/pmUBx8CIHTECIL79QOgeMkSCufNA7e7aq3F4cAaHIw9Lo6A9u3xb9sWe0w0hseDp6SEsnXryJ8+A/6rvWiPiaHV7FlYg4O9+8bktFJ9eXLUbBeph26bvJI5m9Ortu85uzUPDW9nYqLjUFECb7aH8vxDY/dvhIgE8zKJiIiISDVbc7byzpp3+OPAH0ddF+EfQcvwliSGJZIYlkiX6C50j+uOw+qosdYX6sv/PlP+cJo3b+6lJDX5wvETERE5GRXuCoZ8M4TCikLu63Eft3S5xexIIiL1kis7G1d6Oo6mTbGGhoLHg8V+9Atju4uKKJgxg4I5cyhZugwAe2wszf71TwI7dfJGbKkF9bG+9EY9r2a7SD2SUVDGQ9+uY+GOLADO7xLPMxd2JDasjt/j3OOBj86Gg2sqt0e/B2dcZW4mERERkQYusyST3fm7mb13NqvSV1FcUUxGaUbVfGxQLGfEnEFiWCIjkkYQ7h+On82PUEcoDlvNpvqR+EJ9abVaj3ovQvd/nQXibb5w/ERERE7WKyte4d9b/g3AVe2v4vE+j5ucSERE/lfRosUcuPdejJISLH5+RN14I/5t2+CXkEBAp04YLheuzExs4eFYQ0IqdzIMDJcLq5+fueGlmvpYX3qjntc920V8mNtjMPSN+STnlNSYG31GE/5+5fHf+9I0rgpY8PqhRvsFf1OjXURERMQk+eX5fLn1S35L/o0tOVsOu2ZIwhAe6PkALcNbejmdedasWVNt2+l0smbNGiZOnMhLL71kUioREZH6745ud1Q127/c+iXbcrZxVfurGNlipMnJRETkP0IGDqDVrFnsHz+e8i1byH7//SMvtliqXX4++t57Ku8tb7Nhi4ionDtGc1TkRHijnteZ7SI+qKTCxccL9/Dm3O2Hnf/7FWcwuntTL6c6Ac4yWPEB7JgDB/4EV1nl+PCXoP/d5mYTERERaYDSitP4fsf3fL75c4qdxVXjUQFR9GvSj+GJw4kMiKRxUGPiQ+JP62v7cn05c+ZMXn/9debPn29aBl8+fiIiIsfDY3i4bMZlbM899D3Ynd3uZHy38WrGiIjUIZ7ycvKnTyf/xx/B5aZ00yZwOk/sSWw2LFYrAV26EHnN1YQOG4anqIiyrVsJ6tEDa2Bg7YQXoGHVl6eznlezXcQHGIbBM9M3kZpfxm9bM3B7av7PNqlRELcMasnlvRLws1tNSHkcPB7Y+hPMfAiKD12ClKBG0ON6OOeZyl+2iYiIiEityy7N5td9vzJ913TWZ62vGm8T2YYr213JWc3OIi44rtZz+HJ9uWPHDs444wyKi4uPvbiW+PLxExEROV45ZTlM2TyFDzd8WDU2ImkErw9+XQ13EZE6ylNRgSc/H4u/P9aQEMrWr8caEoIlIBDcLjLfeZeCGTOO+/nsjRvj36oVGAYhZ5+NUV6GOy+fRjffVHlWvJyyhlRfns56Xs12kTrK6fZQWObiX/N38uHCPYdd0yY2hPuHteX8rqf37KJaMfdp2PA9FByo3LbaK5vrbUdAdFs12UVERES8JK04jc83f85XW7+iwlMBgNVipUNUB27qfBPDEodhtXjvx5u+UF8WFBRU2zYMg9TUVJ599lm2bt3K2rVrzQmGbxw/ERGR08XpdjJp8yTeXv02BgYDmgzgiT5P0Cy0mZruIiI+yJWbiy0kBMPjoWL3blyZmWR/8CGeigqcqQdxZ2Yd1/OEX3wRMffdh6NJk1pOXL/Vx/rSG/W8mu0iJjEMgzKnh8U7s/hzbw5hgQ52pBfyw9qDR92vcVgA1/VL5Ib+SYT4272U9hTk7IGvr4X0jYfGOlwIQ5+E2Pbm5RIRERFpIDyGh+2525mxawZz980ltTi1aq5To04MSxzG6NajiQ6MNiWfL9SX1sPcM9AwDBISEvjqq6/o16+fScl84/iJiIicbl9t/YqXlle/z+rz/Z+nXVQ7YoNiTftcIyIip4/h8eDKysLq5wdA0eLFGGXlVOzdS+mGDbjS06nY818nKlqtRI+/nfBLLsEvIcGk1L6tPtaX3qjn1WwX8YJyl5ulu7JZvieHbWmFrEnOJbfk+O9V0iommBdGd6Z/Kx8rFMoK4JX/+Uft4Z0QEmNOHhEREZEGxDAM/jjwB2+tfoudeTurxi1Y6BLThTu73Un/Jv1NPwvMF+rL+fPnVztOVquVmJgYWrdujd1u7g9gfeH4iYiI1Iafdv/EYwsfO+xc/yb9ueuMu+ga09XLqURExJvKd+8m/cWXKF6ypGrMGhRExGWXEX7xRQR07GhiOt9TH+tLb9TzaraL1IJFO7LYklrA/twSCstcTF938LD3WT+cO4e0IiEqiOScEoa0jaFnYiR2Wx29B/vR5O6Ft7od2h7+EvS/27Q4IiIiIg2FYRgsOLCAf6z5B9tytwEQYAuga0xXRrcezdnNzybYEWxyykNUX54aHT8REWnIDMMgoySD99a/x5r0NezK31Vt/sbON3Jv93uxW33g6pAiInLSSjdsoGDWbHI//xzDWXmio8Xfn7jHHyegfTv827fH6u9vcsq6T/XlyVGzXeQ0WbIzi08W7+XXLemHnfezW7mgazwOq5UWMcF0T4ggt8RJy5hg2saF4vEYWK315N5Sqevh/UGHtrtfCxe/a14eERERkQYgqzSLX/b+wrfbvq36ojnIHsSV7a/kps43Ee4fbnLCw/OF+vLll18mLi6Om266qdr4J598QmZmJhMmTDApmW8cPxEREW/xGB7m7JvDX/74S9XYRa0u4qWBLx1lLxERqS+Migryvv+ezLfexp2XVzVua9SIuEcnEHbBBQCmX+GtrqqP9aU36nk120VOg1snr2Tu5upN9m7NwskurqBlTAjndozj8l7N8LfbTEroZd/eCJumVj6+eS4k9DY3j4iIiEg95XQ7mZc8jy+2fsGajDVV40H2IK5odwU3d7m5zjbZ/8MX6sukpCS++OIL+vfvX218+fLlXHnllez57/sEepkvHD8REREzzNg1g8cXPQ7Au+e8y+Bmg01OJCIi3mJUVJAzeTJ5335Hxb591easYWGEnjuMiEsuIaBTJ6yBgSalrHvqY33pjXpezXaRU7AjvZCPF+3hqz/3A+Bvt1Lu8vDguW2595w2JqczwfpvYOqth7ZvnA2J/czLIyIiIlLPeAwP23K2sSx1GfP3z2dj1kYqPBVV850adeLcxHO5vN3lhPqFmhf0BPhCfRkQEMCWLVto0aJFtfHdu3fTsWNHysrKTErmG8dPRETELDf9chN/pv0JQHxwPF9d8BVRAVEmpxIREW9yFxWR+fe3yJ0y5bDz9thYwi+6kMAePbFHN8LRrBn2qIb5b0V9rC+9Uc/rZjUiJ+nnDak88PVayl0eAK7olcCrl3Y1OZVJPG748W5Y98Whsf73qtEuIiIicpIMwyC5MJkDhQfILM1kd/5utmZvZUPWBoqcRdXWxgTGMLr1aMa2HUvTkKYmJa7fEhISWLx4cY3ifPHixTRp0sSkVCIiInIsj/V+jDHTxwCQWpzKWV+fBUCEfwSvDn6V/k0qz3JzeVy6r7uISD1lCwmh8ZNPEHbeSDAMnOnpZE78G86UFABcGRlkf/Qx8HHVPn4tWxIyeDCRV16BX1KSOcHltPBGPa9PECInKKuonGd+3MTMDakAdIwP49Hz2jOoTbTJyUxSkgOvVf8jxeBHYOjj5uQRERER8UEew0NacRq/7/+dhSkLWZ+5nsKKwsOu9bf50y++H91iuzGo6SBaRrTEYXV4OXHDcsstt3D//ffjdDo5++yzAZg3bx6PPPIIDz30kMnpRERE5EjaRLZh9XWrueWXW1idsbpqPK88j9vn3l5j/Z3d7iQuOI6Zu2eSXZrN7d1uZ2TSSN3bV0SkHgjq2bPqcdioUQCUb99O4dxfKV29mtJNm/Dk5wNQsXs3Obt3k/PZZ0TfeScx995jSmY5dd6o53UZeZHjZBgG09cd5Nnpm8gtcWKzWrhlUAsePLdtw7kX++F8dQ1s/anysSMY7l0NoY3NzSQiIiJShzndTnbn72ZZ6jI2ZW0iuTCZ7bnbcXqc1dY5rA6ahzYnOjCaFuEtaBXRijNiz6BVRKt61Vz3hfrSMAweffRR3n77bSoqKi/bHxAQwIQJE3j66adNzeYLx09ERKQucLqdzNk3h5XpK/lu+3fHvd+IpBG8Pvh1NdxFRBoAwzAoXb2aooULKV60mLKNGwGIvPpqYh9+CGtQkMkJa1d9rC+9Uc+r2S5yHNILynhi2kZ+3ZIOQIf4MF6/tCudm4abnMxkm3+Eb66vfNzqbLhumrl5REREROqQYmcxm7M3U+Yqo8JdwS/7fiGjJIPtuduPeNZ6h6gOjEgaQb8m/WgR3oJAe6CXU3ufL9WXRUVFbNmyhcDAQNq0aYO/v7/ZkXzq+ImIiNQVhmHw856f2ZW3i3D/cJLCkjhYfJDpO6dT5Cyib3xflhxcQnJhMgCTRk6iR1wPk1OLiIi3pT3/ArlfVN4+1xIQABYL9pgYgrp3p3zPHoyKCgLat8feOA5HXByWwEDsUVHYY2Lwb9cOi9Vq8js4MfW5vqzNel7NdpGj2J9Twm9bM3jp5y1UuDw4bBbuPbsN44e0wmHzrT+Sp52rAv7WEYozISQOHtgEtvpzhpWIiIjIySpxlvDe+vf4autXlLpKD7sm2BFM5+jO9I3vS4vwFrQMb0mzkGY4GuDnKdWXp0bHT0REpHYYhsGlMy5le+52AJZctYRQv1CTU4mIiDcZLhd5308l44038BQe/kfzR2KLjiagbRsCunQlatwN2CMjaynl6aP68uSo2S5yGGv35/GXb9exI6OoaqxdXChvX9Wddo31oRqAFR/Czw9XPn5oO4TGmZtHRERExEQew8OKtBXM3D2TufvmUuwsBiA2MJYw/zAq3BX0ie9Dl+guNAttRvfY7titdpNT1w2qL0+Njp+IiEjt2Zu/lwt/uBCAuKA4Zo2Z1SB/HCki0tC5cnIo27QJV2YWnpISXNlZOGJjMVxuXBnpONPS8RQX4yktwZ2XT/m2beDxVO1v8fen8TPPEH7J6Dp9WxLVlydH3+6I/JeMgjJunbySdQfyq41f1K0Jz17UiahgP5OS1TGbpsHsxyofD3tWjXYRERFpkIoqivg1+Vd25+9mwf4F7MrfVTXXNKQpt3e9ndGt63YhLSIiIiJHlhSexDUdruHfW/5Nekk6d827i9fPep1w/wZ+a0kRkQbGHhVFyKBBx73eU1ZG6erVVCQnk/3xJzj37yf18ccpnDuX8Isvwq95c/w7dND3BfWEzmwX+X85xRXc++UaFu3MAuCMhAj+eU0P4sMD9AfvPw6sgp/uh7T1ldsth8K1U8HH7jsiIiIiDYNhGKQVp5FXnkexs5j0knRSi1MpdZUSHRhNQmgCwY5gogOjiQ+Ox2axcbD4IHvz9+LyuHDYHOzK20VyQTJOj5MduTvYU7AHP6sf5e5ySlwleIxDv1QPtAcyqsUoLmh5AT3iemC16DPS8VB9eWp0/ERERGrfb8m/cd/v91Ube/ecd+kV14us0iyahzU3KZmIiNR17rw8Mv/5T3Inf15jzpHYnJABAwgZejbBAweY3otSfXly1GwXAd77YxevzNpatX3vOW14YFgb0/+w1SnZu+DDoVD2/2f9x7SHm+dAgH7JKyIiIuYrqihifdZ6duTuILkgmW2529iVt4siZ9Gxd/5/NosNt+E+oddtEd6C3o170yGqA8MSh+ksp5Og+vLU6PiJiIh4x8asjdzz2z1klWbVmOvTuA9Dmw9lQ9YGrm5/NV1jupqQUERE6rKS1WsomDmTvKlTMUpLa8wHdutGxJVXEjbqPKz+/iYkVH15stRslwZr+e5svlyRzMp9uRzIrfzD1jImmNcv7UrPxCiT05nE46k8S33nPPjpAQiMhLAmsO3nQ2ssVrhjKcS2Ny+niIiIyP9bcGABX2z9giUpSzCoWdpYLVZCHCFEBUQRaA+kSUgTogOjySjJIKUohRJnCRklGVR4KgBwWB0khiXiZ/Oj1FVKUlgSrSJa4Wfzo2lIUzpGdcRtuPGz+RFoDyQuKE4/0DxFqi9PjY6fiIiI9+SV5fH7/t95esnTR12XEJrAzZ1v5rwW5xHkCPJSOhER8RXuvDxcObmUbdpE8dKlFPz0E0ZF5fcSloAAAjp1ImTQQAK6dCGoZ0+sAQFeyaX68uSo2S51Sl5JBcv35PDhgt3syCjimj7NuaxXAi2ig0/L83s8Br9tzeCDhbtZsSen2txZbWN479qeBPrZTstr+RSPBz47H5KXHH1dZAu47FNo0t07uURERESOIKcshzdXvsn0XdOrxiL8I+jduDeJYYk0D2tOm4g2JIYlEuIXctTn8hgeskuzcRtuGgU0wmFz1HZ8+S+qL0+Njp+IiIj3lThLWJOxhk3Zm7BZbPx99d9pHdGanXk7q62zW+z8POZn4kPiTUoqIiK+wJmeTt7X35A3dSqutLQa8+Fjx9Do5lvwb9miVnOovjw5araL16xOzuWJaRsJDbBjs1iw2yzklzrJLqogJa/mJTP+26PntefGAUn42axYLBbKnG6W7MrC5TZ47ZdtVLg8ZBaWc3aHWFrHhJAQFYTNClNXpwCwbn8eAQ4bGYXl1Z53aLsYxvRoxlntYggLaIBfqmZuh58fgj0LDj8//EVwBELmNrAHwLBnwdoAf4wgIiIidUKpq5Tfkn9jWeoyftn7C6WuUqwWK1e3v5or219J89DmOsvcB6m+PDU6fiIiInXHgcID/GPNP0grTmN1xuoa8+8Ne4/GwY2JCYrhYNFB2kW20+dXERGpYhgG5du2UbJ8OSWrVlO0aBFGSUnVfPTddxN91524s7KwhoWd9svNq748OWq2y2nncnuw26xV26uTcxnzz2OcMf0/mkYEHrEBb7NacHtO+P9tqwQ6bIzs3Jir+zTnzKQGeLl4Zxls/gGm3X74+eb9odNo6HEDOLxzaRIRERGRI0krTuOXvb+wLnMd8/fPx+lxVs11bNSRCWdOoEdcD/MCyilTfXlqdPxERETqpu2527ltzm1kl2UfdV3HRh15acBLtI5s7aVkIiLiKyoOpJA/dSp533+PKz0dAIvDgeF0Yo+NJe6JJwgbMfy0vZ7qy5OjZrucNoZh8MnivbzxyzYASp3uGmv6toxicNsYyp0eVifnsiElH4fNSkJkIBFBfozp0ZRhHeIIcNiqnvPblQd4/qfNFJW7ajxfTKg/mYXl9GkRxejuTflzbw6ZheWUOz1kF5fjMWBvdjE39EsiISqIVjHB9G3ZqOr5G5yDa+GDsw4/d9XX0HYE6Ne0IiIi4kVuj5uCigI2ZG1gccpiDAyCHcFklGSwI3cHW3K2VFsfGxTLiKQRDGwykH5N+ulMoHpA9eWp0fETERGpu5ILkvlow0fM3z+f3PJcIv0jyS3PPezaRgGNuLHzjWSXZdM3vi/9m/T3blgREamzDJeLzH+8Q86nn1bd2/0/Gt16C9H33IPVz++UX0f15clRs11OC4/H4LGpG/h65f4jrvlufD96neSZ5AVlTpKzS7BZLWxPL6RjfBgJUUENt2l+MmY9Csv/dWjbYq28LHy/uwELWK1H2lNERETktHF5XGzP3c5Pu39iU9YmdubtpKCi4Kj7dIjqwICmAxjWfBgdG3VUg72eUX15anT8REREfIvb46bIWUSRs4jzvj8Pg8N/PX9+y/P568C/YrXU/M7O6XbisDXAW2KKiDRw7qIi3Lm5WGw20l99jcJffqma82/fnsgrLifsgguw+Pmd1CXmVV+eHDXb5ZTklVTwy6Y0Zm5IY8H2TACu6JWA1WqhaUQAVquFFo2C6d8qmvAgfQA0zZYZ8PW1h7bPeRoGPWReHhEREan3ip3F/LjzR5amLiW1KJVydzll7jIKygsocZXUWO+wOjg38VyahjSlyFlEdGA08cHx9G7cm7jgOBPegXiL6stTo+MnIiLi2wzDYF3mOiZvnszcfXMPu8bf5s/o1qPJL89nc/ZmkguTaRfZjq8u+Aq71X7E565wVzBrzyyahzWne2z32noLIiJiksx33yXrH+8ccT6od29CzzmboL598W/b9pgnL6i+PDlqtstJWbUvl+s+Xk5JxaFLxdutFt64rBujuzc1MZmwez5Mvrjysc0PwptBzu5D8xP2QmCkGclERESkgdias5W//PEX9hbsPex8iCOEHnE9GNZ8GE1DmtI9rjtWrNisumpRQ6T68tTo+ImIiNQvhmHw7NJnmbpj6nHvM7bNWDZmbeS+Hvdhs9ro1KgTM3fPZPLmyaQUpQDw7jnvMrDpwMOeKS8iIr7LcLspWbGCokWLKPh5Fq7U1MOu80tMxK9VK6zBwUTffhv+rVvXWKP68uSo2S4n7K4vVjNzffX/sV7VO4Fr+iTSuWm4SakEgFWfwYz7jjx/86+QcKbX4oiIiEjDklqUyrtr3+XHXT8CEB0YzQ0db6BVRCuCHEEE2AIIdASSEJqAw6qrHkkl1ZenRsdPRESk/jEMg5SiFAoqChg3exylrlIAhjUfxgUtL2DqzqksOLDgpJ777jPu5vZut5/OuCIiUkcYbjfunByw2SicN4+8b7/DlZaGKyPjsOvDL76Y4AH9CR40CHtkpOrLk6Rmuxy3bWmFjPh79Q9xtw9uyYSR7bFadd9M07nK4d3ekLu3cjukMfS4HqLbQKNW0KQH6P6mIiIichoZhsGy1GXM3D2TzTmb2Z23G7dReeWjEUkjeLjXwzQObmxySqnrVF+eGh0/ERGRhmlF6gpm7pnJjF0zcHqcBNoDaRTQiANFB6rWPNzrYc5pfg4Pzn+QLTlbqsYXXrGQiIAIE1KLiIgZnBkZFP32O4bTScHMmZSuXVtjjV/rVhRbbXSbMV315QlSs12OKaOwjOdmbK5xNvv2F8/Dz67LDtUZG7+H726qfHzP6soGu4iIiMhpll+ez0+7f2JrzlYWHlhIdll2tflecb2484w7ObOxrqYjx0f15anR8RMREZH/VuoqJa8sj8bBjavdm3d/wX4u++kyip3FAHx74be0j2pvVkwRETFRxYEDFP76K2WbN1M07zc8xZX/NhS53fTeuUP15Qmymx1A6rasonJ6vzSv2tjnN/dmUJsYkxLJYe1ZcKjR3uUyNdpFRETktMkqzWLWnlmkF6ezM38nyw8ux2W4qub9rH5c3Ppizmp2Fs1Cm9EyvGW1L/VERERERMR7Au2BBIYE1hhPCEvgraFvccucWwB4e/Xb/HPYP70dT0RE6gC/Zs1oNG4cAIbLhTMlhfJdu8hLT4errzY3nA9Ss10Oy+n2sGhnFm/8sq1q7PazWnLX0NaEBej+mnXOH69V/rcjCEa+am4WERER8XklzhI2Z29mzr45TNsxjTJ3WbX5dpHtOLv52XRs1JF+Tfrhb/M3KamIiIiIiByvPvF9+PL8L7lq5lUsTFnIstRl9I3va3YsERExkcVuxy8xEb/ERIyCArPj+CQ126UawzD42687eHvejqqxiCAH39/Rn1YxISYmkyNa8AbsXVj5+JZ5ENzI3DwiIiLiU3LLcpm/fz4pRSnsK9iHBQvzkudR4amoWtM1uivdY7vTKLARZzU7i5YRLc0LLCIiIiIiJ61zdGdGtx7NDzt/4ImFTzDjkhkEOYLMjiUiIuKz1GwXAIrKXexIL2Ty0n1MW5NSNd4kPIB/XttTjfa6Kn0z/PZC5eNuV0NcR3PziIiISJ1W4iwhtzyX3LJcMksySS5MZtKmSWSWZtZYGxsUS8/YnoxuM5p+8f10aXgRERERkXriiT5P8Gfan6QUpTBhwQRGtRyFn82P1KJU+sb3pXVka7MjioiI+Aw12xswp9vDtysPMGXZPjanVr80RM/ESJ48vwPdm0ealE6Oaf238ONdh7Yv/LtpUURERKTu2pO/h9l7ZjNt5zRSi1MPu6ZxcGO6x3anVXgrXIaL3o170yuulxrsIiIiIiL1UIA9gId7PcwD8x9g/oH5zD8wv9r8pJGT6BHXg8KKQlakrqDEVcKoFqOwWW3mBBYREanD1GxvwB6fuoFvVx2oNuZnt/LCxZ24vFeCvlyty769ETZNrXwc2QJungN23StVRESkofMYHrblbGPBgQWsy1zHpuxN5JTlVFvjZ/UjMiCS6MBo4oLiaB3Zmps630SwI9ik1CIiIiIi4m3DEofxfP/n+evyv1LmLqs2d8PsG2qsn7JlCo/1foz5++czrtM4IgIivBNURESkjrMYhmGc6E4FBQWEh4eTn59PWFhYbeSSWuT2GNwxZRVzNqcD0L5xKNf0ac6ITo2JDQswOZ0c0Y93w+4/oCQbnMWVY017wrVTITDC1GgiIiJijlJXKdtytrE5ezNrM9ey8MBCipxFNdYNaDKAkS1Gck7zcwhxhOhHlVKnqL48NTp+IiIicrqUOEu4fe7trM1ce9R1Fiy8NPAlguxBePAwpNkQHDaHd0KKiEitUX15cnRmewPzz/k7eW32tqrtB89ty73ntDExkRyX/X/Cms+rjzXpDrf+Zk4eERER8SqP4cGChYKKApanLueHnT+QVZrF9tztuA13tbUOq4N+TfrRNborveN70zK8JeH+4SYlFxERERERXxHkCOL9c9/np90/caDwAIObDaZnXE9e+/M1vtn2DRWeCgAMDB5f9HjVft1iujFxyERig2LNii4iImIandlej3k8Bsk5JSzckcnVfRK56sNlrNhz6DKiV/RK4JWxXXRmU11mGDDnSVj6zqGxQQ9BcCx0vRyCoszLJiIiIqddenE6C1IWsDl7MxuzNpJXnkepq5TCikKgsun+vxoFNKJTdCc6NupIv/h+dI7ujJ/Nz9vRRU6a6stTo+MnIiIi3vCfNkJ6STofbfiIFWkrcFgd7M7fjcvjAuD9c9+nf5P+ZsYUEZFToPry5KjZXo/8ujmd7RmFXNi1CQ9+s5Y/9+Yece2Um/swsE20F9PJSZlxH6z67ND2XSsgpp1pcUREROT0yC7NZsnBJeSU5ZBfns+KtBUcLDpIVmkWBkf/eJ4YlkjbyLZ0j+3O0IShNA1pqh9Pik9TfXlqdPxERETETMkFydw+93YOFB0g0B7IU32fYnjScPxt/mZHExGRE6T68uSo2e7jsorK+XHtQV74afNx77PjpfNw2Ky1mEpOi60/w1dXHdq+9ntoPcy8PCIiInLSPIaHnXk7WXpwKUsPLmVl+krK3eWHXdsyvCU94nrQMrwlSWFJBDmCaBrSFKvFSrAjmGBHsJfTi9Qu1ZenRsdPREREzJZZksn4X8ezPXc7AJ0bdWbKqCnYrDaTk4mIyIlQfXlydM92H5VRUMY9X65h+X9dFv5wYkP9OadDLF+u2A/AhmeHq9HuC3bMrd5of3Q/BOgPm4iIiC9JLkjm1+Rf2Z23m9UZq9lfuL/afGJYIp0adSLIEUSr8FacEXsG0YHRxAXF6Ux1ERERERHxGTFBMXw28jOeWvwU85LnsTF7I2d8fgZvD32boc2Hmh1PRESkVqnZ7oNcbg+9/zqvxvjYHs14ZWwXpizbh8Nm5dq+iVVzL4/p6s2IcrLcLvj3WNg9/9DYZZ+p0S4iIuJDCioK+GzjZ3y26TOcHme1udYRrRnTZgy9G/embWRbNdVFRERERKReCPUL5e9D/87rf77O5M2TAXhx+YsMbjZYZ7iLiEi9pma7j3F7DP7y3fpqY7PvH0T7xoeasTcOaOHtWHI6zJoAy9+rPnbXnxDT1pw8IiIiclzKXGXMPzCfdRnr2JW3i7WZayl1lQLQJboLQxKGkBCawICmAwjz0w/oRERERESk/vrLmX8hOjCaiasmklGSwUN/PMRNnW+ia4xOBhMRkfpJzXYfMntjKuOnrK7avqJXAn8d0wWbVWdE+bSKYljwRvVGe2AU3LdOZ7SLiIjUYQsOLGDajmksS11GkbOo2lzTkKbc0e0OLmx1IVaLbuEjIiIiIiINx42dbyS7NJtJmycxL3ke85Ln0SykGR0adeCRMx+hcXBjsyOKiIicNmq2+4gvVyTz2NQNVdtjezTj1Uv1a8B6YeZDsO7LyseOIBi/CBq1MjeTiIiI1GAYBuuz1jN502T+TPuT3PLcqrn44HjObn42LcNb0jSkKf2a9FOTXUREREREGqy7u99NRmkGe/P3sj13OweKDnCg6AALDyxk7qVziQiIMDuiiIjIaaFmuw/4fWtGtUb7uP5JPHtRJxMTyWnh8cD6rw812oNjYfxCCNUvO0VEROqKvfl7+TX5V1akrmBX/i4ySjKq5ixYGNt2LKNbj6ZLdBc110VERERERP5fgD2A1wa/BkBhRSE/7vyRV/98lTJ3GYO+HgTA+S3Pp1V4K/LL87m1662E+4ebGVlEROSkqNlexxWUObn3qzUAhAbYWf74OQT56f9sPs/tgu/GwZYZldtBjeDBzWBzmBpLRESkITMMg/zyfHbm7WRn3k5m7p7J2sy11dYE2ALoG9+XC1pdwIAmAwjxCzEnrIiIiIiIiI8I9Qvl2o7X0jysOXfNu6tqfObumVWPJ22exL3d7+XWrreaEVFEROSkqWtbh737+05e/2Vb1fa0O/ur0V4f7PoNPr+k+tjln6vRLiIiUgsMw6DMXUZRRRF+Nj/8bf742fzILculwl3B/sL9LExZyNacrWzP3U5OWU6N5+jduDfnJp5L28i2tI9qT5AjyIR3IiIiIiIi4tsGNxvMNR2u4d9b/g1Az7ierEpfVTX/9pq3+TPtT9pHteeq9lcRHxJvVlQREZHjZjEMwzjRnQoKCggPDyc/P5+wsLDayNWgVbg8PDN9E1+uSK4a+9c1PTiviz5c+Ly0jfDegEPbZ94Co94Ai8W8TCIiIj6gsKKQD9d/yKqMVRSUF1DmLiPQHojdaqe4ohiXx1W1ttRditVixWN4KHYW4zE8J/Ra4f7htI5oTdforoxIGkGnaN2+R6Q2qb48NTp+IiIi4utKnCXc89s9rEhbUTVms9iYdN4kusV0MzGZiEjDovry5Og06Toku6icYRP/ILfEWW38H1d1V6Pd1xkGTLoQ9i48NHbTL9C8r3mZREREfERGSQZXzbyq2v3ST5UFC342P/ysfgxsNpC+8X1pGd6S9lHtCbAHnLbXEZHTb8GCBbz++uusWrWK1NRUpk2bxujRo4+6zx9//MGDDz7Ipk2baNKkCY888gjjx4/3TmAREREROaogRxAfj/iYVemrWJyymF+Tf2VP/h7unnc3k0ZOomVES7MjiojIKcrNzeXee+9l+vTpAFx00UX84x//ICIi4oj7FBUV8eijj/LDDz+QnZ1NUlIS9957L3fccYeXUh8fNdvrCMMwajTaL+zWhKcv6EhMqL+JyeSUGQa81RXyDl2pgM5j1WgXERE5huzSbP6x5h98v+N7ACL8I3io10M0C2lGoD2QYmcxpa5SghxB+Nv88RgeLBYLoX6hYAAWCHGEEGQPItgRjMtwUeGuoNxdTqA9kEB7oLlvUEROSnFxMd26dePGG29k7Nixx1y/Z88eRo0axa233sqUKVNYvHgxd955JzExMce1v4iIiIh4R8+4nvSM68ktXW7hmp+vYWfeTi6bcRl/HfRXRiSNMDueiIicgquvvpoDBw4we/ZsAG677Tauu+46ZsyYccR9HnjgAX7//XemTJlCUlISc+bM4c4776RJkyZcfPHF3op+TLqMvMkyC8tZujubt+ftYGdGEQC9EiP54PpeRAX7mZxOTplhwNvdIXfPobFxP0PSgCPvIyIi0kA43U6sFiuFFYVsy93G1pytlLpKKawoZG3mWrZmb6XCUwFApH8kH4/4mDaRbUxOLSKn26nUlxaL5Zhntk+YMIHp06ezZcuWqrHx48ezbt06li5derKx6wzV5yIiIlIfZZRk8PjCx1methyA3o17c2X7Kzk74WxsVpvJ6URE6qfaqi+3bNlCx44dWbZsGX369AFg2bJl9OvXj61bt9KuXbvD7te5c2euuOIKnnrqqaqxnj17MmrUKF544YXTlu9U6cx2ExiGwTUfLWfJruwac2ckRPDdHf1NSCWn1dovYfajUJZ3aMzqgCczwGo1LZaIiIiZ3B43W3O2sil7E3P3zWVl+krcHjcGR/7tZ/uo9tzW9Tb6N+lPsCPYi2lFxNsKCgqqbfv7++Pvf+pX+Vq6dCnDhw+vNjZixAg+/vhjnE4nDofjlF9DRERERE6v2KBY3j/3fV5Y9gLf7/ieFWkrWJG2AgsWhiQM4dHej5JSlELjoMYkhCWYHVdEpF453fX50qVLCQ8Pr2q0A/Tt25fw8HCWLFlyxGb7wIEDmT59OjfddBNNmjRh/vz5bN++nbfeeuuks9QGNdu9rMzp5rbPV9VotDcJD+C6fkmM659kTjA5PZKXwy+PQ8rKmnNPpKnRLiIiDYLb42ZfwT7WZ61nb/5ecstz2ZK9hS05W464T9OQprSJbENUQBSGYdAlpgtdo7vSNrItFovFi+lFxCwJCdW/JH3mmWd49tlnT/l509LSiIuLqzYWFxeHy+UiKyuL+Pj4U34NERERETn9bFYbz/R7hivaXcHcfXP5Zvs35Jfn8/v+3/l9/+/V1j7Z50muaH+FSUlFROqX012fp6WlERsbW2M8NjaWtLS0I+739ttvc+utt9KsWTPsdjtWq5WPPvqIgQMHnnSW2qBmuxflFFfQ44W51cY+ur4Xg9vG4GdXE9bnbZsFX155aDusKXS9HDpeDE26m5dLRESkFmWUZLAoZRG78naRU5ZDSlFK1eXgD8dusdMtthv94vtxbuK5hPmHEWALIMQvxMvJRaSu2b9/f7XL1J2Os9r/439/tPOfu6npxzwiIiIidZvFYqFDow50aNSBW7rcwsw9M/lo/UccLD5Ybd2Ly19kdcZqnh/wPP620/c5UkSkITre+vzZZ5/lueeeO+pz/fnnn8Dh62/DMI5al7/99tssW7aM6dOnk5iYyIIFC7jzzjuJj49n2LBhx/NWvELNdi9xewxenLm5ajuxURDzHx6iL3fqi7z91RvtZ94Kw54FfzUORESk/ih1lTIveV7VvdbTitP4dNOnFDuLa6wNtAfSIaoDLcJbEOYfRogjhCEJQ0gKS8LP5mdCehGp68LCwmrlnuONGzeu8Uv5jIwM7HY7jRo1Ou2vJyIiIiK1I8gRxGVtL2Nsm7EUOYuwWWxM2TyFd9a+A8DPe34muyybD8/9UN+7i4icguOtz++++26uvPLKo65JSkpi/fr1pKen15jLzMyscSW6/ygtLeXxxx9n2rRpnH/++QB07dqVtWvX8sYbb6jZ3tD8sCaF+79eW7V97zlteGBYG/2DX18YBky64ND2HUshrqN5eUREpN7bnL2ZP9P+JNAeiM1iw261Y7FY8LP64W/zx2N42FOwhwp3BUH2IIIcQVVrA+wBVHgqcHvc+Nn8cBtuyl3l2Kw2gu3BBDmCCHZU/neQPYhiZzE5ZTk4rA5eX/k66zPX18jTMrwl/Zr0I9w/nGYhzejUqBOJYYnYrDYTjo6ISHX9+vVjxowZ1cbmzJlDr169dL92ERERER9ktVgJ86tsAt3e7XaGJQ7jxtk3kluey/LU5XSd3JXzks4juTCZK9tfycikkQTYAwAod5dT5ioj3D/czLcgIlIvREdHEx0dfcx1/fr1Iz8/nxUrVtC7d28Ali9fTn5+Pv379z/sPk6nE6fTifV/bs9ss9nweDynHv40shj/uX7eCSgoKCA8PJz8/PxaOfOgPknNL6Xfy79VbT8ysh13DmltYiI5YTm74YsrwWKB+G4Qf0blZeHD4uH7W+DAn4fWXvoJdB5rWlQREal/SpwlbMzayObszSxLW0aps5T1WetxeVymZeoe2x2bxYa/zZ9uMd24ucvNOltdRE7aidaXRUVF7Ny5E4Du3bszceJEhg4dSlRUFM2bN+exxx4jJSWFyZMnA7Bnzx46d+7M7bffzq233srSpUsZP348X375JWPH+v5nd9XnIiIiIuD0OHlw/oPM3z//sPNtIttQWFFIblku5e5yzk08l2s6XEPPuJ5ezSkiUpfVZn153nnncfDgQd5//30AbrvtNhITE6v9OL59+/a8/PLLXHLJJQAMGTKErKws3nnnHRITE/njjz+44447mDhxInfcccdpzXcq1GyvRc/N2MSni/dWbf987yA6NtHx8gk7foX0jbDqU8jde3z7nHkLnP9mrcYSEZH6xzAMUopSKKgooMJdQbm7nKKKIhakLGBX3i42Zm3Ebbhr7BcbFEuX6C64PC5chgvDMKhwV1DhrgAgLjiOCP8Iyt3lFDuLKXGWUOGpoNxVXtUYNzCwWqwE2AJwGS5KnCWUOEsodhVXPTYwaBbaDLfHjcfwcEOnG7i6w9VePUYiUr+daH05f/58hg4dWmP8hhtu4LPPPmPcuHHs3buX+fPnV8398ccfPPDAA2zatIkmTZowYcIExo8ffzrfhmlUn4uIiIgcsil7EytSV/DL3l/YlrvtmD9U7xHbg0aBjejXpB+XtrlUV6MVkQatNuvLnJwc7r33XqZPnw7ARRddxDvvvENERETVGovFwqeffsq4ceMASEtL47HHHmPOnDnk5OSQmJjIbbfdxgMPPFCn/l6r2X6aLd2VzaNT1zOkbQyTlu6rGp913yA6xOtY1Xn5B+CDIVCcWXPurAlgsUHqWji4FgoPVo63HAJX/Fv3ZxcRaeCcHidlrjJKXaVklmZS7ionzC+MmKAYwvzCKKgoIKUohWJnMW7Dzb78fRwoOsDv+39nX8G+oz53bFAs3WK60SayDQmhCSSFJdGpUSevfKj0GB6sFuuxF4qInCTVl6dGx09ERETkyBYcWMD23O3M2DWDMW3G0CuuFwYGLy57kU3Zm6qtvajVRYzvNp4KdwXRgdG61LyINDiqL0+Omu2n0ap9uYz915Ia42ueOpfIYF1atc4rzoKJHcFdfmisSXdo3AXOew0cgdXXF2WCXzD4BXk3p4iIeJ3H8FBYUUiII6Tafcj3FezjX+v+xaKUReSX5x9xf4fVgdPjPOprxAbGEmAPwM/mh5/Nj7igOHo37s2ApgNoEd7itL0XEZG6RvXlqdHxExERETk523K28eXWL1lwYAGZpTVPvooJjGFY4jDaRLZhTOsx1b4PEBGpj1Rfnhy72QHqC8Mw+HTxnhrjCx8Zqka7Lyg4CBM7HNoe+iSc9Zej7xMSU7uZRETEVPsL9jMveR77CvfxW/Jv5JTlABBoDyTIHoS/zZ+0kjQ8hqfaflaLlUB7IMGOYMrd5eSX51c12qMCogi0B2K32kkKSyI+OJ5WEa04r8V5+sW8iIiIiIiIiBe1i2rHs/2fBWDajmk8veRp7FZ71aXnM0sz+XLrlwB8v/177u5+NwObDjQrroiI1FFqtp8m36zcz0/rUwF45sKOtIkNpV+rRtisdeeeAXIEbhe8P/jQdlQrGHi/aXFERMS7DMNg4qqJbM7eTIA9gNyyXNKL08kozTjs+lJXKaWu0qrts5qdxS1dbqFFeAsC7YE4rI5ql3cvd5eTVZpFsD2YiICI2n47IiIiIiIiInKCLmlzCYOaDSLcLxyrxcq6zHXMS55Hekk6i1IWsSl7E3f8egdDEobwQv8XVN+LiEgVNdtPkyd/2Fj1+MJuTYgO8TcxjRy3/APwt06HtnvfDqNeMy+PiIh4VVZpFp9u/JTJmycfdr5jo470jOtJ05CmjEwaidVipchZRImzhFJXKY0CG5EQmnDU1/C3+dM0pGltxBcRERERERGR0yQ6MLrqcY+4HvSI6wFAWnEar654lV+Tf2X+/vmMmT6GGzrdwOXtLifQHniEZxMRkYZCzfbTYPHOLJxuA4BXxnRRo90XeDww50lY9u6hsTNvVaNdRKQeMwyDHXk72JW3i/zyfFanr2b23tkYVP4b3iGqA5e2vZQI/wiahjQlLjiuWqH9H5EBkd6OLiIiIiIiIiImaRzcmL8N/RvLU5fzzJJnSClK4Y2Vb/DGyjd4os8TXNHuimpXuBMRkYZFzfbTYPLSvVWPz+sSb14QOT6ucngxtvrY2I+hy6Xm5BERkdOqoKIAwzCqttdlruPnPT+z9ODSqvuu/7cOUR24oOUFXNPhGmxWmzejioiIiIiIiIiP6BPfhx9H/8h7697jow0fAfDS8pf4bvt3XNz6YlpHtKZpSFPSS9KxW+2cEXOGmvAiIg2Amu2nqOj/2Lvv+Krq+4/j77szb/aEsGRDkCVLcKCguMWtrdqq1WqHWmuddc+qP1u3ba1Wa91bHFRlCSoIYe+VQBKyczPvPL8/LlyIYWXejNfz8Yie8z3f8z2fc7gJfPM53+/X7dMXq3dJku48bajiIm1hjggHVb5d+veZDcvuKJKszEYAAJ1VpbtSC/MXanHhYn2w6QN5A94D1rWYLBqQMECpUanKiM7Qaf1O08jUke0XLAAAAAAA6LQcFod+P/r3Om/gefpw04d6dvmzWl++Xo8ubjxj6tCkobpn0j0anDg4DJECANoLyfYWeuDTNaHtyyf1CV8gOLSaEumvIxqW/blcMpvDEw8AoNlqvbXaVbtL7296X6+ueVW+gO+AdSMsEZrWe5qm9pqqSZmTFGWLasdIAQAAAABAV5MZk6lfj/y1HFaH1pSuUbW3WsuLlsvtdys1KlUFNQVaU7pG5318nlKjUvXeGe/JbrHLYrIopyhHX+d9re2u7To+63idP+j8cN8OAKAFSLa3wJJtZfrvD3mSpGGZTlnMTAnTIdWWSV/fJy15aW/Z8bdLx94cvpgAAA2U1JVo/o75irBGKC0qTVG2KBVUF6jaWy2r2aqd1Tu1pWKLtlZu1VbXVtV4axqcbzVZdXyv41XtqdakzEn62dCfyaTg38smk0lmEy9WAQAAAACA1vXL4b8MbQeMgAJGQFazVbtqdunmeTdradFSFdUWafIbk/d7/oKdC3Tfd/epZ0xPFdUWyW/45bQ7dXLfk3Vqv1M1InkEU9EDQAdnMvZd1PQwuVwuxcXFqbKyUk6nsy3i6vC+21KqC1/8LrQ/74/Hq1cSI+U6nK/uleY/3rBsxIXSzBfCEw8AQJJU5anSrppdqvHVKK8qTw9894CqvdVNaiPGFqO0qDQdlX6Ufjf6d4q1x7ZRtACAtkT/smV4fgAAAB2Ty+PSzXNv1rf53zY6lhmdqSpvlao8VQdtIzM6U2cPOFu/GvErBhIAaHP0L5uHZHsz1Hv9Gnzn56H9H247QanOiDBGBOV+J71/tTT6Uqlyp7Tkn43rWOzSKY9JYy5r//gAAJKktaVrdduC27SpYtN+j49KHaXSulJVe6tlNpnVx9lHklTjrdGIlBEamTpSAxMGqmdMT6aDB4Auorv3L1uK5wcAANCx1Xhr9GzOsxqdNlpJEUkakDBA0bZoSdLHmz/WbQtu0+9G/U6DEgep1lerF5a/0Oj3Jg6LQ5+f87mSI5PDcQsAugn6l81Dsr0ZFm4u0cV//16S9M/LxuqEIWlhjqgbqy6Wnh4r1VccvN5NG6WY1HYJCQDQWMAIaGvlVv3yi1+qrL5MkmSSSQkRCYqxxWhgwkDdPuF2Oo0A0A119/5lS/H8AAAAuh63362d1Tv1xJInNHfH3FD5X479i47teawiLBFMLw+g1dG/bB7WbG+GB2etlSSdOCSNRHu4GIa09mPpw+skt2v/dUwW6bKPpB5jJFtk+8YHAN2cYRhaXbpaWyu36uvcrzVnxxz5Aj5JUnp0uv4x/R/q7ewd5igBAAAAAAA6HofFoX5x/fT0CU/r69yv9ftvfi9J+uPcP0qSoqxRemXGKxqcODicYQIARLK9yd5anKdVO4PJ3QuOygpzNN1U2Rbpb6P27sekS0PPkKbdJ9mYzh8A2lrACGhTxSblunJV769XUW2RdlbtVGFtobx+r6xmqwprC7WxfGOjcwckDNC9k+4l0Q4AAAAAAHAYpvaaqgUXLtCMd2eoyhtc473WV6vzPj5Pw5KGaXXpav1i2C90ct+TNTRpaJijBYDuh2nkm8AwDPW9dZYkyWSStj50apgj6mYMQ8pfJv39+L1l2edJZzzFyHUAaAc7q3fqtvm3qaCmQAU1BYd1zsCEgQoYAc3oO0O/HP5LWc285wcAaKi79i9bC88PAACgezAMQ/k1+VpXtk7Xf3N9o+N2s11vnvam+if0b//gAHQJ9C+bh994N8GO8rrQ9n+vmhDGSLoBv0+afae0/A2prmz/dU68W5p8Q7uGBQBdnWEYKqkrUZWnSttc27SmdI3K6svk9rv10eaPQvVsZpuGJA5RhDVCqVGpSolKUVZsliIsEfIFfHL73cpOztaw5GFhvBsAAAAAAICuwWQyqUdMD/WI6aG3T39bL654UbO3z9ZR6UcpvzpfO6t36rLPL9Mfj/qjjog7Qtkp2eEOGQC6BZLtTbB4WzDpOzIrXhP6JYU5mi6sIld68hD/EPj9cimhT7uEAwBdndfvlcvj0hfbvtDHmz/WqtJVB63/8JSHNaXnFDntvN0IAAAAAADQ3gYnDtYTxz0R2i+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", "text/plain": [ - "<Figure size 2000x1200 with 4 Axes>" + "<Figure size 1600x600 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" - } - ], - "source": [ - "data[0] = {\n", - " \"a0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"a0_EASY_half_speed\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"a0_EASY_half_infra\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", - "}\n", - "data[1] = {\n", - " \"a0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"a60_EASY\": f\"{EXPE_DIR}/a60_EASY\",\n", - " \"a0_EASY_double_speed\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"a0_EASY_double_infra\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - "}\n", - "\n", - "fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(20,12), sharex=True, layout=\"constrained\")\n", - "for pos in [0,1]:\n", - " for name, path in data[pos].items():\n", - " jobs = read_and_clean(f\"{path}/_jobs.csv\")\n", - " N = jobs.shape[0]\n", - " lateness = (jobs.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]').reset_index(drop=True)\n", - " mean_lateness = lateness.cumsum() / lateness.index\n", - " mean_lateness.plot(kind='line', ax=ax[0][pos], label=name, title=\"Mean lateness\")\n", - "\n", - " delta = 2 * lateness.cumsum() / (lateness.index * (lateness.index - 1))\n", - " delta.plot(kind='line', ax=ax[1][pos], title=\"Delta\")\n", - "\n", - " ax[0][pos].legend()\n", - " ax[0][pos].set(xlabel=\"jobs (sorted by original submission time)\", xlim=(0, WL_rigid.shape[0]),ylabel=\"cumulated lateness (s)\")\n", - " ax[1][pos].set(xlabel=\"jobs (sorted by original submission time)\", xlim=(0, WL_rigid.shape[0]),ylabel=\"delta (s)\")\n", - " ax[0][pos].yaxis.set_label_position(\"right\"); ax[0][pos].yaxis.tick_right()\n", - " ax[1][pos].yaxis.set_label_position(\"right\"); ax[1][pos].yaxis.tick_right()\n", - " ax[1][pos].grid(axis='y')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ + }, { "data": { - "image/png": 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", "text/plain": [ - "<Figure size 600x600 with 2 Axes>" + "<Figure size 1600x600 with 2 Axes>" ] }, "metadata": {}, @@ -3750,56 +4556,50 @@ } ], "source": [ - "# For paper\n", "data = {\n", - " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"A0_speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"A0_speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"A0_infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - " \"A0_infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", - " \"A60_EASY\": f\"{EXPE_DIR}/a60_EASY\",\n", + " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", + " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", + " \"speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", + " \"infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", + " \"speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", + " \"infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", "}\n", "\n", - "fig, ax = plt.subplots(ncols=2, figsize=(6,6), layout='tight', sharex=True)\n", - "\n", - "# Metrics obtained by cuting the OUTPUT\n", - "for name, path in data.items():\n", - " jobs = read_and_clean(f\"{path}/_jobs.csv\")\n", - " N = jobs.shape[0]\n", - " lateness = (jobs.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]').reset_index(drop=True)\n", - " m_lateness = lateness.cumsum() / lateness.index\n", - " m_lateness.plot(kind='line', ax=ax[0], label=name, title=\"mean lateness (days)\")\n", + "cmap, N= plt.cm.Accent, len(data)\n", + "colors = [cmap(k / float(N)) for k in range(N)]\n", "\n", - " delta = 2 * lateness.cumsum() / (lateness.index * (lateness.index - 1))\n", - " delta.plot(kind='line', ax=ax[1], title=\"Delta (s)\", label=name)\n", + "def delta(x):\n", + " if len(x) <= 2:\n", + " return np.inf\n", + " return 2 * sum(x) / (len(x) * (len(x) - 1))\n", "\n", - "# Metrics obtained by cuting the INPUT\n", - "met_fcfs, met_easy, met_half, met_double = [], [], [], []\n", - "for k in range(10, 100, 10):\n", - " met_fcfs.append( metrics(f\"{EXPE_DIR}/a0_FCFS_cut{k}\") )\n", - " met_easy.append( metrics(f\"{EXPE_DIR}/a0_EASY_cut{k}\") )\n", - " met_half.append( metrics(f\"{EXPE_DIR}/a0_EASY_cut{k}_half_speed\") )\n", - " met_double.append( metrics(f\"{EXPE_DIR}/a0_EASY_cut{k}_double_speed\") )\n", - "met_fcfs.append(metrics(f\"{EXPE_DIR}/a0_FCFS\"))\n", - "met_easy.append(metrics(f\"{EXPE_DIR}/a0_EASY\"))\n", - "met_half.append(metrics(f\"{EXPE_DIR}/a0_EASY_half_speed\"))\n", - "met_double.append(metrics(f\"{EXPE_DIR}/a0_EASY_double_speed\"))\n", + "def plot_delta_spread(logscale=False):\n", + " fig, ax = plt.subplots(ncols=2, figsize=(16,6), constrained_layout=True, sharey=True)\n", + " deltas = {}\n", + " col = iter(colors)\n", + " for name, path in data.items():\n", + " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", + " df[\"lateness\"] = (df.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]')\n", + " grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: delta(x))\n", "\n", - "dfs = {\"easy\": pd.DataFrame(met_easy), \"fcfs\": pd.DataFrame(met_fcfs), \"speed*2\": pd.DataFrame(met_double), \"speed/2\": pd.DataFrame(met_half)}\n", - "ax[0].set_prop_cycle(None); ax[1].set_prop_cycle(None) # reset colors\n", - "for name, to_plot in dfs.items():\n", - " to_plot.plot(kind='line', x='nb_jobs', y='mean_lateness', xlabel=\"\", style='.--', label=name, ax=ax[0])\n", - " to_plot.plot(kind='line', x='nb_jobs', y='delta', title='delta (s)', xlabel=\"\", style='.--', label=\"\", ax=ax[1])\n", + " grp.plot(kind='scatter', x=\"count\", y=\"delta\", ax=ax[0], marker='.', color=next(col), label=name, \n", + " xlabel=\"#jobs per user\", ylabel=\"delta per user\")\n", + " deltas[name] = grp[\"delta\"]\n", + " \n", + " bplot = pd.DataFrame(deltas).boxplot(ax=ax[1], return_type='dict', patch_artist=True)\n", + " # Color the boxes : \n", + " for i, patch in enumerate(bplot['boxes']):\n", + " patch.set_facecolor(colors[i]) \n", "\n", - "fig.supxlabel(\"jobs (sorted by original submission time)\")\n", - "ax[0].set_xlim(0, WL_rigid.shape[0])\n", - "y_l, y_r = ax[0].get_ylim(); y_l, y_r = int(y_l / (3600*24)), int(y_r / (3600*24))\n", - "ax[0].set_yticks(np.arange(y_l * 3600*24, y_r * 3600*24, step=5*3600*24), labels=np.arange(y_l, y_r, step=5)) \n", - "ax[0].grid(); ax[1].grid()\n", - "ax[1].legend()\n", + " if logscale:\n", + " ax[0].set_xscale('log')\n", + " ax[0].set_xticks([2,10,100,1000],[2,10,100,1000])\n", + " ax[0].set_yscale('symlog')\n", + " ax[0].grid()\n", + " ax[1].grid(axis=\"x\")\n", "\n", - "fig.savefig(f\"{fig_path}/lateness_delta_evolution_KTH.pdf\")" + "plot_delta_spread(logscale=False)\n", + "plot_delta_spread(logscale=True)" ] }, { @@ -3807,8 +4607,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Observation :\n", - "- les delta semblent se stabiliser... mais pas tous !" + "### Scalability by input size\n", + "Run the simulation with a subset of the input, to see if it scales." ] }, { @@ -3816,270 +4616,784 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Lateness / delta per user" + "#### a0\n", + "Prepare cut input:" ] }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 25, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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AANVIXFyc0tLSlJCQUKqyJC0tjakzL0Fms1kJCQmlrtNSU1P5fZ/B7QXeDx48qP79++vyyy/XsGHDlJubK+n0wu8JCQkVHiAAz2kV2Oq826j5zpcQs58q1oF1S+VwOKo6LAAAUANNmTJFERERyszMVEFBgTIzMxUREaGpU6d6OjQAAHCWuLg4bdmyRS+//LIeeOABvfzyy/r111/54vwSZDabFR8fX+Z1Wnx8vMxms6dDrDbcTpaMHz9evr6+ysnJUd26dZ3tN998s5YsWVKhwQHwLFNzk6JDo9UmqI2iQ6Nlas58lZea8yXEdi96U1kvjdWWdx6p4qhQEWwOmyx7LJrz6xxZ9lhkc9g8HRIA4BLVp08fSVKDBg1kNpsVGRmpgIAARUZGymw2q0GDBi7jAACA55nNZnXo0EHjx4/X66+/rvHjx6tDhw58cX6JsdlsSkhI0IgRI5Senu5ynZaenq4RI0YoMTFRNhvfGUgXkSxZunSpnn/+ebVo0cKlvX379tq1a1eFBQZ4mqOwWEeMU3TEOEWOwmJPh+MRRoNR0aHRGnvFWEWHRrOWxSXo7ITYFbv/0PZPpipr+p3aOe85SVKDiL4ejhIXo2SKtR35O2TZY5F1r9XTIQEALlE+PqdvKw8fPqwbbrjB5YnFG264QYcPH3YZBwAAPItKA+9htVqVnZ2tSZMmlboW8/HxUVJSknbu3Cmrle8MpItYs6SwsNCloqTEgQMHVLt27QoJCvA0R2GxS4Kk5M+Gen6eCgmoFCUJsRJbvkpQruVjlzHBvW6o4qhQEVhzCABQVfLy8iRJBoNB3377rcvc53Xr1pXBYJDD4XCOAwAAnnN2pUHJF+gllQaxsbFKTExUTEwMi39fAkqW0OjSpUuZ/SXtJeO8nduP9vTp00dz5sxxbhsMBtntdr344ovq169fhQYHeEp+ULIKQqY5twtCpik/KNmDEQFVo0FEX7UcNk6Nrx7mbMvLXODBiHCxWHMIAFBVQkJCJEnJyclq2rSpS1/Tpk317LPPuowDAACeQ6WBdym5/srKyiqzv6Sd67TT3K4sefHFFxUdHa21a9equLhYjz76qH755RcdOnRIq1evrowYAQBVJLjn9Qrueb0kadfC6do57zkd3rhCTaNY4K2mKVljKKcgR60CW7HmEACg0phMJoWFhen777/X1q1btXr1auXm5iokJES9e/fWqFGjFB4eLpOJ/xcBAOBpVBp4l5LrtOTkZJdKIkmy2+1KSUnhOu0MbleWdOrUST///LP+8pe/aODAgSosLFRcXJzWr1+vtm3bVkaMQJULyp+kwNxE53ZgbqKC8id5MCKg6rUcfr+6JMxRh3umezoUXATWHAIAVBWj0ajU1FRlZGRo1KhRql27tkaMGKHatWtr1KhRysjI0LRp05jKAwCAaoBKA+9y5nVabGysyxo1sbGxXKedxe3KkpycHLVs2VJTp04ts69VK6b5QM139tokhnp+rFcCr+NTy0+Nuw/ydBgAAKAGiIuLU1pamhISEhQVFeVsDw8PV1pamuLiqFIFAKA6oNLA+3CdVn5uJ0vCw8OVm5ur4OBgl/aDBw8qPDxcNputwoIDPMlQz0/1bVM8HQYAAABQI8TFxWnEiBF68803tX37drVt21b333+//Px46AgAgOqipNIgPj5esbGxSkpKUpcuXZSVlaWUlBRlZGQoLS2NSoNLTFxcnGJiYmS1Wp3TpZpMJn7PZ3E7WeJwOGQwGEq1Hz16VHXq1KmQoAAAAAAANYvZbNaECRO0a9cuZ9v06dP10ksv8cQiAADVCJUG3sloNCo6OtrTYVRr5U6WTJgwQZJkMBg0efJk1a1b19lns9m0Zs0adevWrcIDPNubb76pF198Ubm5uercubOmT59+zrIwi8Wifv36lWrfvHmzrrjiCuf2/PnzNXnyZOfTT88++6xuuOGGSnsPAAAAAHApMZvNGjVqVKkH63JycjRq1CjNnz+fL14AAKhGqDQASiv3Au/r16/X+vXr5XA4tHHjRuf2+vXr9euvv6pr166aPXt2JYYqffbZZ3rkkUf0+OOPa/369TKZTBo6dKhycnLO+7otW7YoNzfX+dO+fXtnX2Zmpm6++WaNGTNGP/30k8aMGaObbrpJa9asqdT3AgAAAFwKbA6bLHssmvPrHFn2WGRzMC2vt7HZbLrzzjslSU2aNNG7776r3Nxcvfvuu2rSpIkk6c4772TKZgAAAFRr5a4sWb58uSTpb3/7m1555RUFBQVVWlDn8tJLL+muu+7S3XffLel0SffXX3+tGTNmKCUl5ZyvCw4O1mWXXVZm3/Tp0zVw4EAlJSVJkpKSkrRixQpNnz5dc+fOrfD3AHiazWGTda9VOQU5alm3pafDAfAnnfl3ulVgK5mam2Q08CQQgKpj3WuVZY9FkrQjf4ckKTo02nMBocp99913OnLkiBo0aKA9e/aoVq3Tt5l333237rjjDgUHB+vw4cP67rvvNHDgQA9HCwAApNNVoQkJCcrOzna2hYWFKTU1lWpQeC231yx5//33KyOOCyouLtaPP/6of/7zny7tgwYN0vfff3/e13bv3l3Hjx9Xp06d9MQTT7hMzZWZmanx48e7jB88eLCmT59+zv2dOHFCJ06ccG7n5+dLkk6ePKmTJ0+W9y1VqJLjeur4NYnjWLEKQlMlSYF7EmSo610LTq7KXSXrXqskKedQjiIUwXmDcuPfmurnzL/T2X9ky2Fz6NqQaz0c1f/jnIG7OGdqnpw/cuRj93HZPhlcdb+/M88ZT5831fE+oSp88MEHkqSnnnpKDoej1HudPHmyJkyYoA8++IB5sgEAqAYWLFigW265RcOGDdOHH36ozp0765dfftFzzz2n+Ph4ffrppyxRgEtKea/F3U6WSNJ//vMfzZs3Tzk5OSouLnbpM5vNF7PLCzpw4IBsNpuaNm3q0t60aVPt27evzNeEhITonXfeUY8ePXTixAl9+OGH6t+/vywWi/r06SNJ2rdvn1v7lKSUlBRNnTq1VPvSpUtd1nLxhGXLlnn0+DXGx11P/9fyjWfj8JCu6uqyzXkDd3HOVC9n/p3O/2++Fq9f7MFoysY5A3dxztQc9VXf9driv9LibVX/79CyZct07NixKj/umarzfUJl2rZtm6TT92yLF5f+3R84cMA5rqx+AABQdWw2mx588EFdffXVuuuuu3Tw4EGtXLlSknTXXXcpLy9PDz30kGrVqsX6JbhklPc+we1kyaeffqqxY8dq0KBBWrZsmQYNGqTffvtN+/btq5KM49kLBjocjlJtJTp06KAOHTo4t3v16qXdu3dr2rRpzmSJu/uUTk/VVbLgvXT6ibGWLVtq0KBBHpmeTDqdHVu2bJkGDhwoX19fj8RQE+Q3KHu6tqDDSVUcieec+RS6j91HEfsjOG9QbvxbU/2c+XdakkzNTdWusoRzBu7gnKl5bA6bMvdlanfBbrUMbKlezXpV6XSAZ54zRUVFVXbcslTH+4SqsHXrVq1Zs0ZffPGFnnjiCfn4/H+lkd1u1+TJkyVJo0aN0rBhwzwVJgAAkLRixQrl5eVp/vz56tmzZ6n+xo0bq0+fPgoKClLfvn09ECFQ8Uoqvi/E7WRJcnKyXn75Zf3jH/9QYGCgXnnlFYWHh+vee+9VSEiI24GWV+PGjWU0GktVfOTl5ZWqDDmfyMhIffTRR87tZs2aub3P2rVrq3bt2qXafX19PX5TXx1iqM5qFdnLbPemz6xPyz4yGA3ONUvy9+dz3sBtnDPVx5l/p6vzmiWcM3AX50zN4Stf9WvV78IDKzsOX1+dOnXKozFU5/uEyvTwww/rn//8p37++WfFx8dr0qRJ6tKli7KyspScnKyNGzfKx8dHDz/88CX9OQAAUBPs379fktStW7cy/7/crVs35zj+v41LRXnPZZ8LD3G1fft2DR8+XNLpm4HCwkIZDAaNHz9e77zzjru7Kzc/Pz/16NGj1JQMy5YtU1RUVLn3s379epekTq9evUrtc+nSpW7tEzVHUP4kBeYmOrcDcxMVlD/JgxFVPaPBqOjQaI29Ymy1evocwMU58+90dGh0tUyUAAAubX5+fkpISJAkLV68WFFRUQoKClJUVJS++uorSVJCQoL8/LxrrUAAAKqjku9Fs7Kyyuwvaa/Mh+KB6srtypKGDRuqoKBAkhQaGqqsrCxFRETojz/+qPQ5gidMmKAxY8bo6quvVq9evfTOO+8oJydH9913n6TTZe979uzRnDlzJEnTp09XWFiYOnfurOLiYn300UeaP3++5s+f79znww8/rD59+uj5559XTEyMFi5cqG+++UarVq2q1PcCzzDU8yu1fXYbAAAAAPe88MIL2rp1qxYuXOjSbrPZFBMToxdeeMFDkQEAgDOZTCaFhYUpOTlZ8+fP1+rVq5Wbm6uQkBD17t1bKSkpCg8Pl8lk8nSoQJVzO1liMpm0bNkyRURE6KabbtLDDz+s7777TsuWLVP//v0rI0anm2++WQcPHtTTTz+t3NxcdenSRYsXL1br1q0lSbm5ucrJyXGOLy4uVmJiovbs2SN/f3917txZixYtcpknNyoqSp9++qmeeOIJTZ48WW3bttVnn31W5px9uDQY6vmpvm2Kp8MAAAAALhlms1lffPGFhg8frnbt2qmoqEj+/v7atm2bvvjiC5nNZsXFxXk6TAAAvJ7RaFRqaqpGjRql+vXru6z55u/vr6KiIs2fP5/F3eGV3E6WvP766zp+/Lik05Ucvr6+WrVqleLi4pwL91Wm+++/X/fff3+ZfbNnz3bZfvTRR/Xoo49ecJ/x8fGKj4+viPCAC7I5bLLutVb79QUAAADKw1FYrPygZEmnpzylatf72Gw2JSQkaMSIEWU+oTpq1CglJiYqJiaGL14AAKgmDAZDmW1ltQPe4qKm4Srh4+NT7oQEgNOse62y7LFIknbk75AkRYdGey4gAACAi+QoLJajsNhlWyo99SkubVarVdnZ2br33nt1+eWXKzs729kXFhame+65R19++aWsVquio6M9FicAAOAhB+B8ypUsyc/PL/cOg4KCLjoYwBvkFOScdxsAAKCmKKkoKVEQMk2SmPLUy+Tm5kqSJk2apBEjRmju3Lnq0qWLsrKylJycrMcff9xlHAAA8JyShxzmzp0rX1/fUg8yJCUlKSoqiocc4JXKlSy57LLLLliC5XA4ZDAYZLPZKiQw4FLVKrCVs6KkZBt/DlObAQAAeE5wcLAkqXfv3kpPT5ePj48kKTIyUunp6erbt69WrVrlHAcAADyn5OGFLl26lNlf0s5DDvBG5UqWLF++vLLjALyGqblJkly+2Mefw9RmAAB4RlD+JDkKi50VJYG5iUzBhVIcDoenQwAAAP8TEhIiScrKytI111wjq9XqnIbLZDIpKyvLZRzgTcqVLOnbt29lxwF4DaPByBf5FYypzQAA8IyzEyOGen4kS7xQXl6eJGnVqlWKiYnRkCFD5O/vr6KiIi1ZskSrV692GQcAADzHZDIpLCxMDz74oPbv369du3Y5+1q3bq0mTZooPDxcJhMP915qbDZbqeQY69K4cnuBdwCVw1FY7Jz3Oyh/El80uIGpzQAA8BxDPT/WKPFyJU+e/vWvf9Vnn32mjIwMZ1+tWrU0evRoffLJJzyhCgBANWA0GnXjjTfqxRdfVNOmTZWQkKA2bdpox44d+uijj7R27VpNnDiRL9EvMWazWQkJCcrOzna2hYWFKTU1VXFxcZ4LrJohWQJUA47CYjkKi122pdJPa9ZE9lPFOvSzRY26D7zg2kcXi6nNAAAAPMdkMik4OFgff/yxhg8frmHDhjkrSxYvXqxPPvlEwcHBPKEKAEA1YLPZNG/ePLVt21a7du1Samqqs69WrVpq27at0tLSlJKSQsLkEmE2mxUfH686deq4tP/3v/9VfHy80tLSSJj8D8kSoBKUJAgu63adVuWuuuDC4yUVJSVK5v32xFOaFV3hsnvRm9o57zk1M92sK+59pSJCLIWpzQAAADyrZF0Sg8Gg7t27q0uXLsrKytJXX33l4cgAAMCZrFarsrOzZTAYNGzYMLVr105FRUXy9/fXtm3btHjxYjkcDlmtVkVHR3s6XPxJNptN48aNk8PhUP/+/fX44487r9OeffZZZWRkaNy4cYqJiSE5JpIlQKUoSRCoR19ZeneUVDMWHq+oCpe8NV+oYPt6FeXt0oG1iyVJDSJY+wgAAOBSZLVatX//fqWkpOjtt99WVFSUsy88PFzJycmaNGkSX7oAAFAN7NmzR5LUrVs3ZWVladGiRc6+1q1bq1u3blq/fr1zHGo2i8WivLw8XXvttVq4cKF8fHwkSZGRkVq4cKH69Omj1atXy2KxqH///h6O1vN8LuZFp06d0jfffKO3335bBQUFkqS9e/fq6NGjFRocvI+jsFhHjFN0xDjF5Uv7miBvzRfa/slUZU2/83SiRNKBls1dxpxr4fGg/EkKzE10bgfmJioof1LlBXsO+UHJzqoW6XSFy9lVL+VxeOMK7V48w5kokaTgXjdUSIwAAACoXnJzcyVJDzzwgLZt26bly5frk08+0fLly/Xbb7/pgQcecBkHAAA8Z//+/ZKk9evX68orr1RmZqYKCgqUmZmpK6+8UuvXr3cZh5rNYrFIkqZOnepMlJTw8fHRlClTXMZ5O7crS3bt2qUhQ4YoJydHJ06c0MCBAxUYGKgXXnhBx48f11tvvVUZccIL1PR1Ow5vXKFcy8cubY0jr5f2rnBun2vh8bPfo6GeX41532VpENFXteoGuVSW5GUuUNMo5j8EAAC41JQs3J6VlaXIyMhS1SNZWVku4wAAgOc0atRIktSkSROZzWbVqnX66+HIyEiZzWY1b95c+/fvd44DvInblSUPP/ywrr76ah0+fFj+/v7O9htuuEHffvtthQYH71JRVQ2e0iCir1oOG6fGVw9ztnXYdVDRodFqE9RG0aHR51143FDPT/VtU1TfNsVjiZKKqnAJ7nm92o5+Sl0emaXwG/8p6XQyCQAAAJcek8mksLAwJScny263u/TZ7XalpKQoPDycBd4BAKgGDh48KOl05UhcXJxLZUlcXJyzoqRkHGq2kodYnnrqqTKv06ZOneoyztu5XVmyatUqrV69Wn5+rl/mtm7dmrns4NWCe16v4J7XS5J2LZyunfOe05Esq6J7V86i5pWhMipcWg6/X/VadVKjbgP/1H4AAABQPRmNRqWmpio+Pl6xsbFKSkpyLhyakpKijIwMpaWlsWgoAADVQJMmTSRJ3bt314YNG1zWGmvVqpW6d++u9evXO8ehZouOjlaTJk20atUqXX/99Ro6dKj8/f1VVFSkr776SqtWrVJwcDDJkv9xO1lit9tls9lKtf/+++8KDAyskKDgnYLyJ8lRWOysLgnMTayxU1HV5ARBSYVLRfGp5afG3QdV2P4AAABQ/cTFxSktLU0TJkxw+dIlLCxMaWlpiotjOlYAAKqD0NBQSafXLDEYDC59u3fvVk5Ojss41GxGo1FvvfWWRo0apcWLF2vRokXOvpLf/4wZM3io5X/cnoZr4MCBmj59unPbYDDo6NGjeuqppzRs2LBzvxCXhMpcgL2kisHuY9OR5tlSXd9zJkuq+0LwJQmCs/+nAwAAAHgTh8Ph6RAAAMAZTCaTgoKCJKnU91YlC4AHBQUxfeYlqHbt2i7bderU8VAk1ZfbyZKXX35ZK1asUKdOnXT8+HGNHj1aYWFh2rNnj55//vnKiBHVRFkLsFdGwiQ/rZF29F2irR8/6rE4AAAAAJSf2WxWfHy88vLyXNrz8vIUHx8vs9nsocgAAMCZbDabjh49KkkaMmSIXn/9dc2cOVOvv/66Bg8eLEk6evRomTMLoeax2WxKSEjQyJEjdfjwYb388st64IEH9PLLL+vQoUMaOXKkEhMT+X3/j9vTcDVv3lwbNmzQ3LlztW7dOtntdt11113661//6rLgOy49Zy+2XjJdVnmnbLI5bLLutSqnIEetAlvJ1Nwko+F0iVfemi9UsH29ivJ26cDaxZJOL5heGXEAAAAAqDg2m03jxo2Tw+EoVUlS0jZu3DjFxMQwxQMAAB725ptvym63a9y4cVq8eLEWL17s7AsLC9N9992nt956S2+++aYeeeQRzwWKCmG1WpWdna17771XHTt2VHZ2trPvlVde0T333KMvv/xSVquVdUt0EZUlkuTv768777xTr7/+ut58803dfffdJEpwQda9Vln2WLQjf4cseyyy7rU6+w5vXKHdi2c4EyWSFNzrBk+EKUmynyrWgXVLq3TaAJvDJssei+b8OkeWPRbZHGR0AQAAUP1ZLBZnRcmAAQOUmZmpgoICZWZmasCAAZJOV5hYLBYPRgkAACRp+/btzj///vvvLn27d+92Ts115jjUXLm5uZKkpKQkRUREuFynRUREaNKkSS7jvJ3blSVffPFFme0Gg0F16tRRu3btFB4e/qcDQ/UTlD9J9v2FOtr2FUlSwPaH5dOkXrlfn1OQc87tBhF9VatukEtlSV7mAjWNKr0QZFUsBL970ZvaOe85NTPdrCvufcWt1zoKi53VL0H5k8odW0kySZJ25O+QJEWHRpc59nxVOgAAAEBV+u677yRJvXr10sKFC53znUdGRmrhwoWKiorSmjVr9N1336l///6eDBUAAK/Xtm1bSacX9Q4ODtbYsWPVpk0b7dixQ3PmzNGMGTNcxqFmCw4OliRde+21Sk9Pd7lOS09PV58+fbR69WrnOG/ndrIkNjZWBoOh1BP3JW0Gg8H54Tdo0KDCAkV14TjHny+sVWArZxKgZLtEcM/rFdzzeknSroXTtXPeczq8cUWZyZKzkw8lC8P/We5MBXYuZa2nUhLjhZwvmXQ2dxIrAAAAQGXKyTl93Tp69GjnDXgJHx8fjR49WmvWrHGOAwAAnnP33Xdr/Pjxzgffp02b5uxr1aqV8zveu+++24NRoqqUVBLhNLen4Vq2bJmuueYaLVu2TEeOHNGRI0e0bNky/eUvf1FGRoZWrlypgwcPKjExsTLihQflByXraNtXndtH275aav2Q8zE1Nyk6NFptgtooOjRapuYml35HYbGOGKcoKP6guvxjljrcM/2c+zLU81N92xTVt02psKqSipgKLD8o2VnxIp1eT6W8n9GZyaOyts/kTmIFAAAAqEytWp2+bv3kk09kt9td+ux2u+bOnesyDgAAeM57770n6fS6Yvv27dNjjz2mrVu36rHHHtO+ffucD8iXjEPNVjJV6urVqxUbG+syDVdsbKxWr17tMs7buZ0sefjhh/XSSy+pf//+CgwMVGBgoPr3769p06Zp4sSJ6t27t6ZPn65ly5ZVRryowYwGo6JDozX2irGKDo12mTbqzIoMH7tRDdv2kY6drNL4GkT0Vcth49T46mHOtrzMBVV2/Aslk87kTmIFAAAAqEzXXXedJCkzM1MxMTEuN+ExMTH64YcfXMYBAADP+e233yRJrVu3ls1m0/PPP6/LL79czz//vOx2u1q3bu0yDjVbSEiIJCk5OVkbN25UVFSUgoKCFBUVpaysLD377LMu47yd29Nwbd++XUFBQaXag4KCtGPH6emA2rdvrwMHDvz56FCtVOZaIWdXX5Qco75tSoXsvzzcmQrsXP7MZ1SSTCqPkkTKmWuWAAAAAJ4QHR2tJk2aaP/+/fr222+VkZHh7Ktbt66k0/NlR0dHeyhCAABQomTapauuukqStGvXLmdfaGiounfvrl27djE90yXCZDIpLCxM33//vTZv3qy33npL27dvV9u2bXXffffppptuUnh4uEwmvluULiJZ0qNHD02cOFFz5sxRkyZNJEn79+/Xo48+qmuuuUbS6cxjixYtKjZSeFxFrhVy9iLo1U3L4ferXqtOatRtoFuvq6z1VM7mTmIFAAAAqExGo1FvvfWWRo0aVeY0XNLpRWSNRmNZLwcAAFWoZ8+eeuONN7RgwQKNGDFCn376qbp06eKsMkhPT3eOQ81nNBqVmpqq+Ph4NWzYUEVFRc6+SZMm6fjx40pLS+M67X/cTpbMnDlTMTExatGihVq2bCmDwaCcnBy1adNGCxculCQdPXpUkydPrvBg4Xkla4X8GWUtgh6Ye3qNG3crMuyninXoZ4sadR9YoRlvn1p+atx90EW9tiI+IwAAAKAmiYuL08SJE/XSSy+5tJ86dUoTJ05UXFz5q7UBAEDlad68ufPPa9as0bx587Ru3Tpt375da9asKXMcaj6Hw6Hjx4+7tB0/fty5Rg1OcztZ0qFDB23evFlff/21tm7dKofDoSuuuEIDBw6Uj8/pJVBiY2MrOk5cQs415daZFSblrcjYvehN7Zz3nJqZbtYV975SsYHiklVZSTYAAABvZTabNW3aNA0fPlxDhw6Vv7+/ioqK9NVXX2natGmKjIwkYQIAQDXSsGFD7d+/v9SDDg0bNtShQ4c8FBUqms1m07hx4yRJQ4cOVfv27VVUVCR/f3/99ttvWrx4scaNG6eYmBiqS3QRyRLp9Nx2Q4YM0ZAhQyo6Hnix8lZk5K35QgXb16sob5cOrF0s6fTi7GeyOWyy7rW6rOlx5oLy8G4k2QAAACqOzWZTQkKCRowYofT0dOdDdJJ03333KTY2VomJidyEAwBQDeTl5UmSDh065FxTrF69eiosLJTFYnH2l/wXNVvJ7/SKK67Qpk2btHjxYmdfWFiYrrjiCv3666+yWCzq37+/ByOtHi4qWVJYWKgVK1YoJydHxcXFLn0PPfRQhQSGS5OjsFgB2x/W0bb//wV1wPaH5NMkoNz7OLxxhXItH7u0Bfe6wWXbutcqyx6LJGlH/g5JYo0PL1eeJBtwKaKSCgBQ2axWq7KzszV37lyXRIkk+fj4KCkpSVFRUbJarSzyDgCAhwUHB0uSOnbsqGPHjunzzz939p355XnJONRsFotFkrRlyxaNGDFCc+fOda5Rk5ycrIyMDOc4kiUXkSxZv369hg0bpmPHjqmwsFANGzbUgQMHVLduXQUHB5MswXmdPQWXJB1t+6pba3w0iOirWnWDXL70zstcoKZR/1/Wn1OQ4/Kas7fhfcqTZAMuRVRSAQAqW25uriSpS5cuZfaXtJeMAwAAnteoUSP99NNPWr16tXJzcxUSEqLevXurX79+ng4NFchut0uSIiMjXSqAS7Z79+6tH374wTnO2/lceIir8ePHa+TIkTp06JD8/f31ww8/aNeuXerRo4emTZtWGTECLoJ7Xq+2o59Sl0dmKfzGf0o6/UX4mVoFtjrvNrxPg4i+ajlsnBpfPczZlpe5wIMRAZUnb80X2v7JVGVNv1M75z0niUoqAEDlCQkJkSRlZWXJZrPJYrFo7ty5slgsstlsysrKchkHAAA8p2R6rVWrVmnUqFGqXbu2RowYodq1a2vUqFFavXq1yzjUbA0bNpR0eqaoshw7dsxlnLdzu7Jkw4YNevvtt2U0GmU0GnXixAm1adNGL7zwgm6//XYW7cN5BeVPkqOw2Lmoe2BuYrkWcj+XlsPvV71WndSo20CXdlNzkyS5rFkC7xbc83oF97xekrRr4XTtnPecDm9c4VKRBFwqqKQCAFQlk8mksLAwPfjgg9q/f7927drl7GvdurWaNGmi8PBwmUxckwMA4GklDy+kpKTo7bffVlRUlLMvPDxcycnJmjRpEg85XCKaNWsmSfr55591/fXXa+jQofL391dRUZG++uor/fzzzy7jvJ3byRJfX1/nnOdNmzZVTk6OOnbsqPr16ysnh6mOcH5nJ0YM9fz+VLLEp5afGncfVKrdaDCyRgnO6VxJNuBSUZ7pCgEAqChGo1E33nijXnzxRTVt2lTvvPOORowYoYyMDE2ePFlr167VxIkTWdwdAIBqoOQhh/nz55eaeslms8lsNvOQwyUkNDTU+efFixdr0aJFzu0z1zU9c5w3cztZ0r17d61du1aXX365+vXrpyeffFIHDhzQhx9+qIiIiMqIEZcIR2Gxc82SoPxJZSZJbA6brHutLhUhRgM3VX8GizuXdq4kG3CpoJIKAFCVbDab5s2bp6uvvloHDhzQPffc4+wLDw/X1VdfrbS0NKWkpJAwAQDAw858yKFk/YoSv//+u3JycnjI4RJiMpkUHBysvLw8+fn56cSJE86+2rVr6/jx4woODiY59j9ur1mSnJzsLMN65pln1KhRI40bN055eXl65513KjxAeJ6jsFhHjFN0xDhFjsLii97Hma89e7uEda9Vlj0W7cjfIcsei6x7rRcdN07bvehNZb00VlveecTToQDwgJbD71eXhDnqcM90T4cCALhEWa1WZWdna9SoUXI4HC59drtdcXFx2rlzp6xWru0BAPA0m82mDz74QNLpL8vPVKdOHUnSBx98IJvNVuWxoXKUXJ8NGDBAr7/+umbOnKnXX39d/fv393Bk1Y9blSUOh0NNmjRR586dJUlNmjTR4sWLKyUwVA9lJTmk0tNpXUhJRUmJkjVL6tumuLTnFOScdxvlk7fmCxVsX+8yBQ+LOwPeiUoqAEBly83NlSRNmjRJw4YNU2xsrIqKiuTv769t27bp8ccfdxkHAAA8x2KxKC8vT9dee62+++47rV69Wrm5uQoJCVHv3r3Vr18/rV69WhaLhS/TLwFWq1X79+93rlFz5jRcZ65RY7VaFR0d7blAqwm3kyXt27fXL7/8ovbt21dWTKhGypvkqCitAltpR/4Ol+2apLpMI8bizgAAAKgqwcHBkqTmzZtryZIlLk+iGo1GNW/eXHv27HGOAwAAnmOxWCRJU6dOla+vb6kvyKdMmaKBAweSLLlElDys8sADD2jixImyWq3O5JjJZNKxY8c0adIkHmr5H7eSJT4+Pmrfvr0OHjxIsuQSUp61RP6soPxJchQWO5MtgbmJZR7H1Pz0/HhnJhtqkpJpxCQ5kz6eWGiexZ0BAABQ1fbs2VNqjTy73a49e/Z4KCIAAADvVrKcRlZWliIjI0slx7KyslzGeTu31yx54YUXNHHiROcHiZrtQmuJBOVPUmBuonM7MDdRQfmT3D6OoZ6fS3Lk7O0SRoNR0aHRGnvFWEWHRrtdlWFz2GTZY9GcX+fIsscim8O9+RX/7OuryzRiwT2vV9vRT6nLI7MUfuM/JZ2uNgEAAAAq2t69eyt0HAAAqDwlX5Y/9dRTstvtLn12u11Tp051GYeazWQyKSwsTMnJyWX+vlNSUhQeHs4C7//jVmWJJN122206duyYunbtKj8/P/n7+7v0Hzp06P/Yu/P4qMrr8eOfmclMMtmXyQ4hAZTFALJJWCIgLkX5Cgas1ortr7WKCFbFoqC4odCqCBoUta22brQVERTQgtVg2DSALGFTICEh+75OMuvvj2EmM2QCCWTPeb9evszc+9w7TyaXZOY595zTapNz58033+Tll18mLy+Pq666ilWrVjX5w1y/fj1r1qzhwIED1NfXc9VVV/Hss89y0003Ocb84x//4P/9v//X6Fi9Xu9oatSdXazM1vkBjaaCHM2h8NG4Ld/lLrPlUstZXW5mh7vjJwaOa3bmTWcsI9b7lrn4xAwm5OobOnoqbaY9sqOEEEIIIYR7u3btcnx9foN358e7du1i9uzZ7TYvIYQQoqfQG8ycKqpu1ljdFcMJDtGxY8cOrrvpFu554GG0YbHoCzN5f80qduzYQbAuFN0Vw0nPqWj2HPqF+qLVtH8penFhKpWKFStWMGvWLGbMmMGiRYuIj48nPT2d5cuXs2nTJtatW4dKJT87uIRgyapVq9pgGs3z73//m4cffpg333yT8ePH8/bbbzN16lSOHj1KTEzjRenvvvuOG264gWXLlhEYGMh7773H//3f//H9998zfPhwxzh/f39OnDjhcmxPCJQ0V1NBjtbQVAP51PJdlxT0uNzMjvPH5xRkYlWPajS/phbjO2MZsZY2d+4sfVeaq6lrSAImQgghhBDtwzljJCwsjHvuuYe+ffty+vRp3n//fQoLCxuNE0IIIUTrOVVUzbTkHc0er0q8DzYs47uUb9j+9VeO7QoPT9v+CX9g+pu7WzSHTfMnEB8d0KJjRPtISkpi3bp1LFiwgHHjxjm2x8XFsW7dOpKSpGy/XYuDJb/5zW/aYh7N8uqrr/L73/+ee++9F7AFbv773/+yZs0ali9f3mj8+YGdZcuWsXHjRr744guXYIlCoSAiIqJN595ZNbeXSGtwd/d/U5ktWUf6umxvbtDjcjM7zj9+2uhMqnil0fyaCh6Zq+sYHpPCcODzH0xYIsd36kCDO52l70pzXSw7SgghhBBCtK2amhrH16NHjyYpKclxx+KxY8fYvHlzo3FCCCGEaD39Qn3ZNH9CC46YwNc3D+Tl558k92y2Y2tkZDh/WvIC19986yXNQXReSUlJTJ8+vVGDd8kocdXiYAnAqVOneO+99zh16hSvvfYaYWFhfPXVV/Tu3ZurrrqqtecIgMFgYN++fTzxxBMu22+88UaXtO8LsVgsVFVVERwc7LK9urqaPn36YDabufrqq1m6dKlLMOV89fX11NfXOx5XVlYCYDQaMRqNzf2WWpX9eVv8/BoFVpMCk9bWvqas76sA+OUsQOHdekETa60Ba43R8TyGiloUpobH5+vt3ZvM8kyXx8353hJCE7CarWRXZdPbrzcJoQktek3OP96kTXU7zt05rbUG1h38Nzed+57yC8/yr30fcufVdzf7+dubu+smqzwLpUXp8tgY1jHXdXM0dQ111L/F7u6Sf9eIHkuuGdFScs2IlnK+Zjr6uumMnxPag73+tVqtJj093eWOxdjYWNRqNUajEYvF0q1fByGEEKKjeChgQJh3i44Z8Ns7mTP7dj7c8F8WfbyT5XeN5+4ZN13G4rkFo9Fy8WGiQ40fP97xtcViadTHpLtq7ntQhfX8orIXsX37dqZOncr48eP57rvvOHbsGH379uWll17ihx9+YN26dZc04YvJzc0lOjqanTt3urz5XrZsGf/85z8bldFy5+WXX+bPf/4zx44dIywsDIA9e/Zw8uRJhgwZQmVlJa+99hpbtmzh4MGDXHHFFW7P8+yzzzqaHTn7+OOP8fZu2S8mIYQQQgghROuora3lrrvuoqKiAn9//3Z//p76OWHZsmX88MMPgK3E8aRJk4iIiCA/P5+UlBRH0Oiaa65h8eLFHTlVIYQQQpwnuxpeOezBY0NM9JbkkG7NbDZz9OhRysrKCAoKYvDgwT0ms6S5nxNaHCwZO3Yst99+O48++ih+fn4cPHiQvn37kpaWxowZM8jJybnsybtjD5bs2rWLsWPHOra/+OKLfPDBBxw/fvyCx69du5Z7772XjRs3cv311zc5zmKxMGLECK699lpef/11t2Pc3THWu3dviouLO+RDGdiiY9u2beOGG25ArVa3+PjKoMZlzAD8yxZd7tQuen5rrYGq6BVA62e0tJTzXOzzAZo1v6a+R+dzdeT35o6768ZsNbM7f7cju2ZsxNhOX0qsM11D3d3l/q4RPY9cM6Kl5JoRLeV8zej1enQ6XYcFSzrj54T2sHLlSh5//PGLjvvLX/7CI4880g4zEkIIIURzHcmtZMaaPWx4IIGrorrv+5We7rPPPmPhwoWcOXPGsa1Pnz689NJL3HbbbR04s/ZRWVnZrM8JLS7DdfjwYT7++ONG20NDQykpKWnp6ZpNp9OhUqnIz8932V5YWEh4ePgFj/33v//N73//ez755JMLBkoAlEolo0eP5ueff25yjKenJ56eno22q9XqDv9Qf6lz8NC7T7myn8tdv5GmuGsQHlzwhNveKAq1GgLUhFQ/3eI5A1hMBkoPpRAy/AYUCsUlncPOWmPAUlbv8lqoygwoQ32aNb/ggicwVtWij14FwFdfRTOj3wzqrngDAI96KwoPa6dsPO583ahRMzlmcgfPqIUu4xoSl6Yz/L4TXYtcM6Kl5JoRLaVWqzGZTB06h878OaEtPfzwwyxatAiLxYKnp6dLwMjLy4u6ujqUSiUPP/xwt34dhBBCiK7Iw8PD8X/5O909rV+/njvuuAOtVuuyvbCwkDvuuINPP/202zd5b+613eJgSWBgIHl5ecTFxbls//HHH4mOjm7p6ZpNo9EwcuRItm3b5hLt2rZtG9OnT2/yuLVr1/K73/2OtWvXcsstt1z0eaxWKwcOHGDIkCGtMu+uwr9yMabqOmqjbD1LDu8fR0K/RMAWRLDWGBxj7V83tejfnAbhCh9NqwQNsje/ScYnfyYi8Q4G3v/aZZ3r/EbhANX9bOcMMD970cCMwkeDGtCfe/yLX+RQxxuO/dJ4XAghhBBCdAV6g5lTRdUtOuY39z3Ie28lN6oHbTAYHPt/KtLT8G75wvqF+qLVdO7sZiGEEEKIzs5sNjNnzhwArrvuOm6++Wa0Wi16vZ4tW7awefNmHnjgAaZPn95jSnJdSIuDJXfddRePP/44n3zyCQqFAovFws6dO3nssce455572mKODo8++iizZ89m1KhRjB07lnfeeYesrCzHD3zRokXk5OTw/vvvA7ZAyT333MNrr71GQkKCIytFq9USEBAAwHPPPUdCQgJXXHEFlZWVvP766xw4cIA33njD/SS6KYWPht25qQw79zilfBemCg2TfCc1CiJcbNE/qyrL7WOFj6ZVAgWF339O1akf0ReeoXjvFgCChkxsUfbLpWhOYMb5e6xQPduqzy+EEEIIIUR7OFVUzbTkHS07KOAm/K/JoTJtg8tmixX8r0nim4Cb+KYF59w0fwLx0QEtm4MQQgghhHCRkpJCUVERgwYNIj09nc2bNzv29enTh4EDB3L8+HFSUlKYMmVKB860c2hxsOTFF1/kt7/9LdHR0VitVgYPHozZbOauu+7iqaeeaos5Otxxxx2UlJTw/PPPk5eXR3x8PFu2bKFPnz4A5OXlkZXVsFD/9ttvYzKZePDBB3nwwQcd23/zm9/wj3/8A4Dy8nLuu+8+8vPzCQgIYPjw4Xz33Xdcc801bfq9dAbnBxcyzTl8s7th//lBj/O5K7elUqiI8YtxZJQAxPjFXHB8S4McZYe3k5fykcu20KG3tCj7xR3/ysVYiqqp7tfQq0a/cQDVJcfJXvU7l8BMc8/nrvTYxbRmaTEhhBBCCCFaql+oL5vmT2j5gfMnYDC8xRtvvMEn3+7j9skjefDBB9FoWn4TU79Q6TArhBBCCHG5UlJSADh27BjTpk1j4cKFjsySL7/8kk2bNjnGSbDkEoIlarWajz76iOeff54ff/wRi8XC8OHDueKKK9pifo3MnTuXuXPnut1nD4DY2S+GC1m5ciUrV65shZl1Le5Ka8WqojlN4yBHU4v+25sot5UYZSvf5RwUAffluSYGjmtxkCNoyEQ8vP1dMkvODP0dwWcarsFLKXml8NGgxPVDWfnZ78nf8S+XbWFjm9f06Pzvobmlx1qztJgQovtr66w6IYQQPY9Wo7qsrI5HHnmE/3ns4BHJDhFCCCGE6FAWi60385VXXkl6erojOAIQGxvLFVdcwc8//+wY19O1OFiyfft2Jk6cSL9+/ejXr19bzEm0A3eltYYBlqxJjYIcTS36Z2W7L7elUqga9Shx3u/8uDImpdE84MJBjrAxtxI25lYAzmxcRcYnf6Yq4qxLsORSnV8qrP77z1H7B7kEZgp3f0b4uOY1PWpu6bGmSotdjqYyeXo6eV3ck4ymrqmlPaWEEEIIIYQQQgjRcwQHBwPw008/MW3aNNauXUt8fDzp6em8+OKLjuCJfVxP1+JgyQ033EBERAR33XUXd999N/Hx8W0xL9FB3AU5wP2if1Pltprifvzppg9oht63zOV7ZT47/DxR18GcW2zb/fIew+KtIiUn5bIWxd0FZsoOb292sKS53JUWa24GS1PcZfI09fPtSeR1cU8ymrqmlvaUEkIIIYQQQgghRM8RFhbm+NpqtTb6z924nqzFwZLc3Fz+9a9/sXbtWl566SXi4+O5++67ueuuu+jVq1dbzFG0gUvtp+GsqXJbTRnvMZzhY1MAOLx/HGOjElFWjruseSg9NISN+AVHc1LA6WZ4hY+GHeW7WnVRvPctc/GJGUzI1Tdc8jma4q60WEsyWNxxl8kj5HVx1hYZTUIIIYQQQgghhBCicygpKXF8/c0337g0ePf29nY7ridrcbBEp9Mxb9485s2bR0ZGBh9//DHvv/8+ixcv5tprr+Wbb75pi3mKVnap/TScNVVuyx1LYTWKkjrH4wT1MBRFehRhrj1CdlR8T2ZpTosyQZyDNj9m2Y5TKFRNlgmDSyvFpPTQoBt+40XncynaIoOlpZk/PYW8Lg3aIqNJtK/WCHwLIYQQQlwKs9lMamoqeXl5REZGkpiYiEol5W2FEEKIziQ0NBSAuLg4srJc10oNBgNxcXFkZGQ4xvV0LQ6WOIuLi+OJJ55g2LBhLFmyhO3bt7fWvEQ7OL+0Vlv2LLAv5NnVDFkD2ErF2OeRkpNySZkgTQVtYlXRTB9rO0/yNxAT3bAo3plLMbVWBktLM39aW2ftDdLRr0tn0hYZTaJ9tUbgWwghhBCipdavX8+CBQvIzMx0bIuNjWXFihUkJcl7SSGEEKKziI6OBnAERCZPnoyPjw81NTV8++23ZGRkuIzr6S45WLJz504++ugj1q1bR11dHbfeeivLli27+IGi0+rongWtWR7JWmNgrP9oakkFYFLgOBICxrTJc7W21spgaUnmT1vorAGpjn5dOpP26skj2pa7nlJCCCGEEG1l/fr1zJo1q1GT2GXLljFr1izWrVsnARMhhBCikxg3bhweHh5oNBqKior4z3/+49inUCjw9vbGYDAwbty4Dpxl59HiYMnixYtZu3Ytubm5XH/99axatYoZM2a41DgTXYe7ngWBg8dTvH9rq2aY+OU9hqW4xpFR4nP4AZQ6H5cxrVke6fymx0NG7KKGXY4FRSnF1HxWq5Xj+3MJCvMhvFcABWcrKCusYeCIqAteH505ICUaa8uePEIIIYQQonswm80sWLCAadOmsWHDBpRKJQAJCQls2LCBGTNm8NhjjzF9+nQpySWEEEJ0Art27cJkMmEymRrts1qt1NbWOsZNmjSpnWfX+bQ4WJKSksJjjz3GHXfcgU6na4s5iXbkrmdBXUkOmW8/5MgwaY1ySsrzepModT4QrHEJyrRXeSSz1YzVaiXIMwiAISFDenQppospya8mP6uc/Kxyju3NcWwPjfJHF+nX5HEdEZBqy1Jy3V1b9uQRQgghhBDdQ2pqKpmZmaxdu9YRKLFTKpUsWrSIcePGkZqaKgsuQgghRCeQk5Nz8UEtGNfdtThYsmvXrraYh+gg9p4F5cf3UHX6RwAy1/3FsQ8ayikpzGYqDnwDE6xM6jW5xc+lDPN1KRVjL/sTnvhLCqYlOYIkvx7w60vqbWG2mtl5MoVhA22lt7Qn56Pvnwy4Nj1OzU1le25Dfx2lQunyfPbg0JmqM1itVhQo6OPfp9P03GhvweE+xA0OI+NooWNb3OAwgsN9LnBUx/QG6ehSckIIIYQQQnRneXl5AMTHx7vdb99uHyeEEEKIjtXcv8nyt9vmknuWHD16lKysLAwGg8v2W2+99bInJdqPvWfBib8tcARLHPvG3gY0lE/qvf8AfXenUZ1VjOXR8Zd0B7+7sl8F0WFN9rZoKqvFvj2nIJNpozMBOLx/HLvzdjHs3HPtLfiBq859bW96bDEZKNr3FYR7wrl5n18eyrnXhl1GVYbLvHoSpVJJ7IBQqsr0FOdVoYv0I3ZA6EWPa6/eIO6uKXugTwghhBBCCNF6IiMjAUhPTychIaHR/vT0dJdxQgghhOhYP/7448UHtWBcd9fiYMnp06e57bbbOHz4MAqFAqvVCuBYMDebza07Q9EugoZMROXlS+XJvVSe3AdA4e7PUKg8iDn4HdqcI4SesgUM4v5t4KcPksgftrfFd/C7K/t1sJcvGModj52DF001CU/NTWXHyRTU+obzDBmxiyFO571q/PcALtks2ZvfJPSTfzBg0ABO3GDLjjm/PFRTvTVa0nOjO5aD0p7LzLH/v7Nwd03ZA31CCCGEEEKI1pOYmEhsbCzLli1z6VkCYLFYWL58OXFxcSQmSpljIYQQojPIyMho1XHdXYuDJX/84x+Ji4vj66+/pm/fvvzwww+UlJSwYMECXnnllbaYo2gH9gwTaCiPVXZ4OwqVB3y3Cec8gqJBhxxfB145vkXPYy/7lX1mLxxJA0B9OA0GXIHCbCb4TDYxExqyAppqEp5VlcX865r3nO4yDyKH3YDRP8Zteajze23Y9fbtTUpOSrN6t3THclD+wVoi+wTiH6zt6Km4sF9Tzj/fwt2fET4uqYNnJoQQQgghRPeiUqlYsWIFs2bNYsaMGSxatIj4+HjS09NZvnw5mzZtYt26ddLcXQghhOgk7A3cATw9Pamvr3c89vLyoq6urtG4nqzFwZLdu3fzzTffEBoailKpRKlUMmHCBJYvX85DDz0kKTvdQO9b5uITM5iQq2+g6IcvMFQUUZv7M/qCxhFGr+uPwEWSiaw1Bir9lwEQWrmYsDG3svP4+5j8oe/uNIKyzmIceg190vYTmPJfwiv84f6GrA93TcJt/28c0HDmnfsoHr5e/LR2UaPMg4m3PNlkxoc9eGLvWYIVUMDB4oOUn8uAOb9cGHT/clBh0QGERQd09DQaaSrQJ8ESIYQQQgghWl9SUhLr1q1jwYIFjBs3zrE9Li6OdevWkZQk78OFEEKIzsK5hYbFYnHZ51wh6vxWGz1Vi4MlZrMZX19fAHQ6Hbm5uQwYMIA+ffpw4sSJVp+gaD8u/UHCYkjEQtiYWyk7vJ2SH7e6Paasz0kOXCDbwlpjwFpjcHkMEKuKZsjDV5MXb+TsEAvDtnztyDQJHjLJMb6pJuGJUYnsPG4mtzCLqdeeAWxN3AGqIm0ZTh6+Xih8NE1mHoReM81tqazze22k5KQ06mFin5PLayHloDqcc6BPCCGEEEII0TaSkpKYPn06qamp5OXlERkZSWJiomSUCCGEEJ2M899mo9Hoss/5sfwNt2lxsCQ+Pp5Dhw7Rt29fxowZw0svvYRGo+Gdd96hb9++bTFH0U6a6g9iDzbU5pyi5KAtaBJ4pi/lfU5zZq6xyebsgCOjxK4q8hUsSjMD/jsShUWJ2bOOXoePu4xxDjA01SRcpVBx7RVTsEYZqMT2HPYm7n71iyk9lALeatv5msg8qCvKalaprKZ6lZzf66Ql5aC6Y0+TzkDpoUE3/MaOnoYQQgghhBDdnkqlYtKkSR09DSGEEEJcwJAhQ0hPT2/WOAHKiw9x9dRTTzlSdl544QXOnDlDYmIiW7Zs4fXXX2/1CYr201R/kLAxt9LvrmcY8qf3iZ3+JwAUFg/iH3yXrFtuueA53CkceIBj784ha0wKfvm9CTs2jIDsuIb9uz/DYjJQvH+rrQzWBSh8NASYn8WvfjElJ1KwWq1kb36T9Ffv4cQ7Dzca7xUag27UVEz6SjI++TNw8VJZjYIinkFMip7UqNeJ/XWKf/hd4m5/ArBlm7hzoTmKtmO2mknJSeH94++TkpOC2XqRGnJCCCGEEEIIIYQQQnRR8fHxrTquu2txZslNN93k+Lpv374cPXqU0tJSgoKC5A75Lq6p/iAuY26bj2//IYRcbcuIiMlJ4XRVRpPH+FcuxlpjIOuaB6gNKcT8y3BKDtvKbfnl9yIoux9B2f0AKF8f2OKsD7vjbz1E4Z4NeIZEU1+SA7gPgpQf3Unx3i9dtl2sVJa7UmBNNXa3c1cOqrv3NOkKmsqeEkIIIYQQQgghhBCiu/n666+bPW7x4sVtPJvOr8XBEneCg4Nb4zSinTk3XvevXNxkfxBn55c5utgxCh8NAFUR2ZT0Pw6HG/YFnekP2HqNKHw01B3chG7kVIy1leQ3I+vDEXzIzaD4wFcAjkAJuA+CtKRUluN7MJuJLzAw4eq72JG3g49OfHTRoIm7clDS06TjNZU9JUR3IOX9hBBCCCGEEEII4eznn39u1XHdXasES0TX467xuhJNi++yb6qniDOFj4bw1x5Fe3wfVe9upaK3LROlrM9Jgs9c4eg1Un50J8X7Gmd9uDSedwpSuAs+hAy5gZLD2wD3QZCm+pdcKFiSvflNW8mukRNJGT8IuLSshEsJ1IjW1ZzsKSG6KvvvquZm5AkhhBBCXA6z2SwN3oUQQohOzs/Pz/G1Uql0tNc4/7HzuJ5MgiU9lLvG6wC+piVuAxN2TQUuLiY0/hfo4q6j6ncK8q5KI3/oPvSPBhEw71nHmKaCCcf6BDfZeN68Jp1630pHAMb3bQsan9HkDUu7aBDEXaksO3cls4p7R7mMaWlWwqUEakTrak72lBBdiZT3E0IIIURHWL9+PQsWLCAzM9OxLTY2lhUrVpCUJJ9vhBBCiM6iX79+HDt2DICQkBDuuece+vbty+nTp3n//fcpKipyjBMSLOnWzi+zZS+JdSEX6+mw82QKwwemMhxI/qb52RWuwRlbeRjTx4dgXsPWpoIJWcEjXc7l3Hje88B+APIH7yNvWBpVEWfpnXYtIe/PdxsEceauVJadu6wVXcKtkNvQsP1SshLsPxN/pZn4794lJGFqi88hLl1zMqGE6EqkvJ8QQggh2tv69euZNWsW06ZNY+3atcTHx5Oens6yZcuYNWsW69atk4CJEEJcgpxyPWVOVWDay8nCapf/t7cgHw3RgdoOee6eoFevXo6vi4qKWLFixUXH9WQSLOmmrDUGTNV1jsc7T6aQ0C8RD1/bLx9743V7Rom9b0hW9r9cznOw+KAje8RaYyCn4AzDzu1T6+FsfgY0Y/G5rPcpakMKXbJA/PJ7NzneOesjP3d7k6WT7N+HJfovaMt1RO99HaWvZ7MCQxfiLstlwJkSiJ10wayECwWonEufKS0qAvpdC7VGuMy5CtGarFYrx/fnEhTmQ3ivAArOVlBWWMPAEVHSB6MTkvJ+QgghhGhPZrOZBQsWMG3aNDZs2IBSqQQgISGBDRs2MGPGDB577DGmT58uJbmEEKIFcsr1XP/yt+jN1g6bw8P/PtAhz6tVKfj6T5MlYNJGmvv3WP5u20iwpJs6v8zWkBG7qGEXAeZnARoFE+x9Q87v6VBWX0ZqbiqToidR6b+Mm52OmXMLwBkwX3w+dU+EULhjm8u2PofexWIyUHzwfxwN9yKrOruhtJdT1seEgDEMj0kB4ODxRMY7BSns34fSoiIgt0+rBErAfZZLRXoqk8Y33QfAXR8Y+xwtJgNnB96Hf24fFOcya+yBKvvPpDO6lOwk0bWV5FeTn1VOflY5x/bmOLaHRvmji5T6lZ2NlPcTQghxIXKHqmhtqampZGZmsnbtWkegxE6pVLJo0SLGjRtHamoqkyZN6phJCiFEF1RWY0BvtrJs0yn6ltRd/IBWVK9SkBvgSVRFPZ7tHKw5HeLF4mn9KKsxyN/uNjJmzBjeeOONZo0TEizp0RQ+mkYL9YlRiRwsPkhZfZljW0t7c7gTPPw6PLQBLg3eiw5tpq4oi4xP/kzeoAGcvmFyo9Jf1hoDytqGaMyEgDEoas3g0xDtdPd9tKYL9TZx1lQfmADzs7bGyxO/Ivj0APp8P7nN5tqaLhT8Ed1XcLgPcYPDyDha6NgWNziM4HCfDpyVaI7m/q4SQgjRM+SU65my4lvqjD3vDlUvtYL/LZA7VNtCXl4eAPHx8W7327fbxwkhhGiZviV1DCqsbffnvTqvpt2fU7SPqKiGHsxhYWFMmjQJb29vamtrSUlJobCwsNG4nkyCJd2Uf+Vidp5MYciIXQC8tRnG9kvkWi7cpF2lUDFMN8zRtwQayl755T3G+zve5rbbqwD4x0fgGR7AnGbMx3H382+e4+jqORTu2cDpf79IfYntzvWymIa6eM7BmQsFILjI99JaLtTb5ELspceyV/3OUR4nbMn9MO0noKH0WWd1sddedE9KpZLYAaFUlekpzqtCF+lH7IDQjp6WaIZL/V0lhBCieyqrMVBntJI46hSBfu17h6rJrKC61hNf73o8VO0brCmv8iJ1r9yh2lYiIyMBSE9PJyEhodH+9PR0l3FCCCGEaF16g5lTRc3P3s0sto0NC4+kpLiQ//znP459KpUHYeGRFBbkkVlcTXpORbPO2S/UF62me5btkmBJN6Xw0ZDQL5EabMESla8n+2sOY8yGrOoszlSdAdw3cbf34ji/N0dV5Cs4tw3+7a8BKppVhstlbhpPAEegBKDwyv6Or1vSOL2phvQWk4GSH7ahTvwBBYp2KSF1fh+YugVBFH6/DfYedIwJS5xJFcuBhtJnQnRG2nPXplauUSGEEKJLC/SrIySo/e9QDUfuUO2OEhMTiY2NZdmyZS49SwAsFgvLly8nLi6OxMTG/R2FEEIIcflOFVUzLXlHs8fXHN0JQGFBPp59R6INjMRqMqDw0GAsz6Pw9D4AnvhoJz4/Ni9UsGn+BOKjA1o++S5AgiXdmIevlh+zJp0LJtSDoZ7UvNRG45wzOaw1Bqr9lzEcyEmLhSZaFFiUZqoisvHP7dPieRX0jiRrxDC0FZWEnrKV5JpUpCarf0yjxulNNaJ3N3fnx1mfJZO58WWCx9jKXrVHCanzz30k1IOQa6cRUmumZO+XgK30WPi5zAyLyUDJ/q2EDL+hUzbOvthr39VZTAZKD6V02te/o/kHa4nsE4h/sNyRKYQQQgghbFQqFStWrGDWrFnMmDGDRYsWER8fT3p6OsuXL2fTpk2sW7dOmsQKIYQQbaRfqC+b5k9o9vi0XVZ+98XL/PGJJaz76B/k7N/r2Bcd04eZTyzh9T8/z0uzr2X0uOadt1+ob4vn3VVIsKSba06/EXsmx/k9Ks4WZpJRlUlmZSZ3977D5ZjCgQfIG5ZG+NjbCWzmXOwls74PU6APGWt77rR99N2dBj8f5te3LGpUQqupRvTOc7dnlIT+fIqYmrOkf5XiKHvll28r79WaJaQutMiu8NE4AlQKsw/BZ0oZcvNviIsb1qjxcvbmN8n45M9EJN7BwPubbhzfUS722remjmgk39lf/44WFh1AWDe9S0AIIYQQQly6pKQk1q1bx4IFCxg3bpxje1xcHOvWrSMpKakDZyeEEEJ0b1qNqkVZHYOSpvJ8bCynj/xIxqmTfLjhvyz84Dtemn0td8+4iZkzZxIXF8c9SVPlZgckWNLtOQcT3Onj18eRyWFfrLZnjdx/Sx8UKFizOZM9hlR6nevBUe9b6WjSHjQ4kQrVs8DFF7mdS2Z56GH+dWDyGMLmZWZOjx0Auaku5cDsLtTA3aVkWPFPkLaJYqf9QWf6uz3uclxskd0eoOq9/wB9d6dRnVVM70fX4xMzGEt9Hac+fg594RlHQCdoyMRWn2Nrsb/2FpOBkjbKwmjPRvKF339O1akfu8zrL4QQQgghRGeUlJTE9OnTSU1NJS8vj8jISBITE2WRRQghhOhknLNCZ86cyS/vnY+232jUnp7MnDlTskLPI8GSbsxaY2B4TArDzz1O/gZM51XU6ePXp1E2hz1rJPi0rYTVA7cA7CJrdDYl/Y+7jPW6/gigwKI0U/zDl4SM/gVKX0+387EHETz0oNbbthVfeZiYH/fjWVND1i8bBzYulnGgUqgcAZbCikCqQgegz82g+MBXAJT1OUnwmSvwPfVHlKE+Tb9YF9HcRfbC7z8n5uB3aHOOOEqM+Q5OcDRePv63R8lP+djlmLCxtzU6T2fTllkY7dlIvuzwdvJSPnLZ1hVefyGEEEIIIYQQQgghLoVzVugX028EYPYqyQp1R4Il3YzZamZnzk5yCjKJNYQT77RPWwZ6XAMmZ6vPYjEZyFi7DNPL1dRu3OnIGrGXsLLzy++NyujpklliD0YUDjxA3t//SvCTAxi6a7vbudmzXH79258pjznFqQlQ2TsTgGv+0Yszv3dt7N7SjIOwMbcSNuZWKlTPoh48mrxhaVRFnCUwuy85iY/QO+u9i718TWruInvZ4e3w3SZCnbZNuPkJx9f50WGN+rUU7v7MUZoLOk8vje6YhRE0ZCIe3v4u39P5r78QQgghLk1neQ8jhGh769evZ8GCBWRmZjq2xcbGsmLFCllwEUIIITohe1bo++u/dJThktJbjUmwpJvZnb+b7fnbeWQsQKbLvntn2v6/cnfDttK6UjI3JZP937dsG3o37Du/hFVQdj+Csvvx1maY8ad95A1Lo2Dwfsp7n24ywOLMXjKrcOA69CHFLvuCzvQnxqmxO1xexkHY8avRluvwz42hYPB+8oalUfvOw5ecFdHcRXZ340r2fO4YlxUXxenz+rU49zGBztNLo72yMNqzkbw9oAZwZuOqRn1khBBCCHHpOst7GCFE21q/fj2zZs3Cy8vLZXtBQQGzZs2SO1SFEEKITkqlUjF6XCI++xSMHjdBAiVuSLCkm8muyr7gfovSjO50DgqTAb/CIrQVlWSdy3Dwz4lBYVE1yhp5azNY4Vw5LjBqbcGI6rA8qiLPUhdY5jh/n0Pvun1ee5aCrvAMxecCJdqSUPQhRQDo1/fDr1JP8aldLncj2vun+Ofa+qc0h3/lYgp3bqB60Q+U9D3e0F/lMrIiwsbcSmj8L6j0X+bIWnG3yH6xxXjnHjLZI66m74BJDJjyaKfM4mivLIzLbSRvtVo5vj+XoDAfwnsFUHC2grLCGgaOiHJ7V6u9tJu/0kz8d+8SkjD1sr8HIYQQoqfqjO9hhBBtx2w288ADD2C1Wrnuuuu4+eab0Wq16PV6tmzZwubNm3nggQeYPn26LMAIIYQQosuRYEk3c8uYTDz0sGYzaMvht7923b/l+QPEb0qjNjAA7/IKl31DVn9B7dA15A+2ZY2U9D1O0Jn+WFE4AiVf/NCHXt4KNn9vJebkDML+kupSlqvo0Ga3i+nushQGbE1yZH0U/eXvVD71CXnD0hx3I/pXLubMhlVkfvkVwacHEL9hc7MW0RU+GspO76Jw0EGX7RfLijh/0T0/s4iCtP8xdNYdKPQmRxkw3U9DUD92DX2S/nTB8/W+ZS4+MYMJufoGx7bEqESUtWaGDUwFVPhUzEWhULQ4i+NivVxaQ3tmYdgbyV+Kkvxq8rPKyc8q59jeHMf20Ch/dJF+LmOdS7spLSoC+l0LtUZoo0wWIYQQoruTfmBC9CwpKSkUFhYycOBAjhw5wubNmx37YmNjGThwIMePHyclJYUpU6Z04EyFEEIIIVpOgiXdhLXW4PJYXdfwdVnvU9SGFFLvW0n0EVtQo6RPb4r7xrr0zigpSEGLLWukzr+csrif+fqJFDS111IRZcvuiPWIJqVwF2aNmcq6bO46kIACBSmrTxOwcyulh1Mci+lmq5nU3FSyqrKIiQ4laur95GbthyNptnn1OYm61hfvojDM6nryhtm2q7S+nPr4OZc7FP3ye7Uo4yB4+HWo/YOozc+gZL+t2fvFsiIaLbof/wjFkXc5lJtK3IIwx7jiKw+Tty2N6re/brI/C+Bo6u6yrdbMhIAxVJHqeGxVGFqUxdHSXi6twV3gpzU5rpXy08TkljFhyh/xUDbv11NwuA9xg8PIOFro2BY3OIzgcJ9GY9uzmbwQQgjRE0g/MCF6lpSUFACOHz/O//3f/7F27Vri4+NJT09n2bJlfPHFF45xEiwRQgghRFcjwZJuoip6BXw0zPHY3p8EoCoim5L+x13GK3RXkB0XzoNT4OdJX1AdmcPpT18g8Oool0yRQV9piP/8AKcnphF8egBDRigYAnz6+gH67k7jmxeHcOi68SjMfQgOngrjb2PQuedIzU0lJScFgNMhENu7N1WqM/j4jabvnjSO/b8yQnZlNepfYq7Xk7P17y7bYk68S9GBr1EoVehG3HjRpqH2rIgzG1c5giUXy4oIDvchjB8pPPQD1OSiyN0BQMSo6yjrvdERcGpOf5amNLVYH2Z+ttlZHB2x4O8u8NOa7NdKTNo+2J3GjvQfmPTIv5s3N6WS2AGhVJXpKc6rQhfpR+yA0DabqxCdSUvL0AkhRGuTfmBC9CwWiwWAhIQENmzYgFKpdHk8fvx49uzZ4xgnhBBCCPdyyvWU1RguPrCVnSysdvl/ewvy0RAdqO2Q524OCZZ0Q+f3+fAtiMbkWUedXzn1geUA9PrfZ/QvD+L0hECqI22liyyeUY1KVxUNOuz4WmlUc/bqndToCum7uwCAqphYAKwqFSVxfciqznaUiBqmNNP33DxWf6NAtXcLQ3btoiwqksJ+cSjrSvG2B0qi4iDXFoRQeWrpdcP9VL271RGYOP7WPIq+t92l1FTTUIvJQOmhFCyGOqpOu9bO7nXzHPr96pkLvm5KpRKPkh9R/Pwfl+3h42dyYsF3FH6/zWV7zO63Lni+S9XWWRydTeH3n1OZ9iFXFWU7spyKe0e1+Dzac5k12gtk2LRnM3kh2kNLytAJIURb62nvYYToiUJCQgDQ6/Vu99fW1rqME0IIIURjOeV6przyDXWmjpvDw/8+0CHP6+UB/3vsuk4bMJFgSTeR/t1oyLZFIwsHHiBvWBo++VF4l4ZSFZpLXWhRo2PqAstcmrMHbrdQ2csfo1ctVnXjf60WlZHSASdctsXkV5DRP9rxOFYV7SgLZZ+HusaXwV/qCD6baRukUBB2blHcrmj8tYy2/pLMdX/BVFXJgNuXk/XMaer8y6gPKHcESqDppqHZm98k45M/o43oiz7/tMu+XcPjOJu7ncSoRFSKphsNBg2ZSFWtiqqzpx2ZJYW7P8NrRRlhIcNcMkuyxs4h7nRDje7m3OHdnMX6i2VxdLcF/7LD2/Hf853LNl3CrS0+j3+wlsg+gfgHN/3L9nKbyXc3kpXQ9bWkDJ0QQrS1ts5EFS1Tb65D6ZVDlbEEpb7u4gd0E1VGPUqvHOrNdUBAR0+nS9AbzJwqat7dpQa17WaMgwcPct1Nt3DPAw+jDYtFX5jJ+2tWcejQIce49JyKC53KRb9QX7QaaQgvhBCiZyirMVBngvtK3iHKlNeuz23Ag2IPHTpTMRraN1qT6xHJOyH3UVZjkGCJaDv3vrKVRX/9D+UvzSBj3Daqw34GoCYil5qI3GafRx9UjMGvssn9ldFZjbYplGr+ON6WyZLxv7uJueEfHA95ifoJDUEFo081wWcb3nwXD7sapW4AnqUVeGXvByD0k3+iHz+L+AXv4zFqJ1UPvULV6GzqA8obPadz09DC7z+n6pRrFknw0OtQjriJ2sJMSvZ+CUD13q2kDLgCgEnRk5r8HsPG3Aq9JlJaUI35yAcU/XcVZYe3E5ndj6DsfgDkD95H3rA0qiLOuhzbnDu8W2Oxvrst+AcNmYjS24+cM/sc/WwGnCmBFlY5C4sOICz64h+IL6eZfHcjWQldn5ShE0II0ZTcmjP4xCWzrwQo6ejZtC+fOMituZqRhHf0VLqEU0XVTEve0ayxdVkNJZS/S/mG7V9/5Xis8PB0fL1qdzFv5TTvnACb5k8gvhnv5YUQQojuJMqUR6yx8XprW7vSePrig3qoLhcsefPNN3n55ZfJy8vjqquuYtWqVSQmJjY5fvv27Tz66KMcOXKEqKgoFi5cyJw5c1zGfPrppyxZsoRTp07Rr18/XnzxRW677bYmzti53PvKVrKPVVAdblvorIrKRtHCoKCyXoPF04A+qARNlT8Gn0pQNh5n0jZOta4qKaVwYCV5w9II/LCEyogqSs/rjwKgqfTH4G8LxPQpGEaFxYpadQRzYBaqctsbbmvsOAKGXE8tuwDwy++N0UtPnX85Bv+Gu5LsTUONJgt5+76hbNe/XJ6rz6+eQ6FQ8OWpFIrVxfTdnUbEkeNk9xrI7pzvAS6YYWJfdLcMfZTw+BG2UhJ3Gx3ZHGHHryb49T8QMvoml+Psd3jnHz+NVlWD3uxDxMC+jju8jSYLxRV6Mo8W0v+n3xISaOKnU2coLFUyZnwsGnXz76SyL/hbTAZKDqUQMvyGLpsJYK91fgUNtc4r0lOJHD+ro6fW7UlWQvfRnDJ0QgghepYonz7UZMzn2lGnCPDrOZklFVVefLe3H1GT+3T0VLqMfqG+bJo/oVljzeax3LLjLQKDQigtKSIvp+EGsoiIMIKDdZSXl7L5z/ejUjX/802/UN8Wz1sIIYQQorV1qWDJv//9bx5++GHefPNNxo8fz9tvv83UqVM5evQoMTExjcZnZGRw880384c//IEPP/yQnTt3MnfuXEJDQ5k509YBfffu3dxxxx0sXbqU2267jc8++4xf/vKX7NixgzFjxrT3t9hiR87o+duBv1IWd+kpWxZPW9kslUndZGZJjiIGXyoJsJa7bA88dpS8YfUAlJ9Ow9cvCq+yYOqCSl3GGfwryVP2JtKSzbEj26m3KLjGsNNlzL2bvRl+fAe/2vQrRg+NJCjmVYKy+2HYfQfVxz7kzDZb0/fiQykEXzODxX/bg+K4L78eNAqlvoySzFMArF72MrnhkziSWcOU8dPxLi0n4sTPRK7dz9f9ZqC/djtw4QwTcC0lYfT0oKKiDjWgtKgIiR9DqdlKgMmC2sMWWTLV6/Eu+x/XBDaUGCsuy8BU/38o1FoW/e0H0o4XEqA28tZ1p8kHHk+JpbxezdADZ1kxL9Fxruaylx5rqo9LVyO1ztuXu6yE6H4hlFYZ0AV4OcYVV9QR4KNp8fUp2k9zytAJIYToWTxVXljqovFTlxOkre3o6bQbS503lrpoPFVeFx8sANBqVC3K6nh91UpmzZrFLbfcwtAH/shbO88yZ3wvDu3ZzubNm1m3bh3DYoLbcMZCCNH92MtnnokqQenVc25yOBMs5TNF59KlgiWvvvoqv//977n33nsBWLVqFf/9739Zs2YNy5cvbzT+rbfeIiYmhlWrVgEwaNAg9u7dyyuvvOIIlqxatYobbriBRYsWAbBo0SK2b9/OqlWrWLt2rdt51NfXU19f73hcWWkLMBiNRoxGY6t9v82RMvM4uyp+wqqxpTxbnVKfW8oQYAZcP1RU4o8/lXgrjPhb67Cet9/ki8sxgWeHoLAoKetzktqQQsyeDa/TLu8bMSi9OaEazCDTQQxqf4IsxQw22prIj7DuIyNvFC8VVDLwSB6Pa20Ls3U5m4no5YP+2iTeOxaBpf5aHimpJvtsAXnK0WTVDmPhiFy+rzjGNVVf4ZW/HypMjK85ReDmEsLrsrF6ePGTOh5TpS+WOjVZ5VkYw1x/VkaThcpaI8HqGtBXgDaQUqM33p4qXvxgL6eyilj5hR9h3iZy0j7kkdQ4+sWE8sxvrwHg+TX/JbNExcvjNYR5myis9eBPW1XE7vov8359PZk5ZYCVCqMHD26PQwGU1asByCsqpaSilhD/i//8ivZuoTrjEHVF2ZT8uBU8vPC7auIlXXv2Y9r7unWZw3mvu3+/qykorcHfW92qi/NWq5UTB/Ko1xuJiAkErORnVeCpVTPg6sgum5nTGjRaJVYsKDUKnn7vezLzq3j5/gTCg7QUlOn509t7iI3wY8ndI8BqBjr2mhEN7P9+QsK8CQrzBiC/pLrV//1cjs7we0Z0LXLNiJZyvmY6+rrpTJ8TTCZbunl5VfsHDUxmBdW1nvh61+Ohsrbrc9u/X5PJ1OHXQ3vRm/Sk5Zygqp26xCqvjOSJt/7Mh39bw9d//RqAV49CWLhtu/LKSDak726Xufh5eTA6egBaj551w0huuZ6y2ku7vuuNZs6Wd9xCbK9ALzxbUFXBWZC3mqhOWuO+LV3qz7ujf9YgP++WyK48jU9cMi881NEzaX8+QHblEIYae06gvaa+GqVXDukBwRSYLe363EZUlKsCCTSXo8bcrs9dpApG6ZVDTX01RqN3uz53c98XKqxWa/u+e71EBoMBb29vPvnkE5cSWX/84x85cOAA27dvb3TMtddey/Dhw3nttYY77u2ZI7W1tajVamJiYnjkkUd45JFHHGNWrlzJqlWrOHPmjNu5PPvsszz33HONtn/88cd4e7fvD1oIIYQQQghhU1tby1133UVFRQX+/v7t/vyd6XNCaT0sO6DCaOl5N4SolVYWX20m+NLvI+tSjulz+aj+zY6eRof5tedcBmmjOnoa7aagzsCrx0sxWHvev22NwsqjA4MJ9+o5pWcL6gy8fKwUMz3v563Cyp8G9Zyfd0GdgRXHSjH2wJ+1GisLetDPGuRvd0f87W7u54Quk1lSXFyM2WwmPNy1SV94eDj5+fluj8nPz3c73mQyUVxcTGRkZJNjmjon2LJPHn30UcfjyspKevfuzY033tjuH8qKvn6dEx8nY9V4UnXrS/h9sRCFqf7iBzopI5AgyvlRcw3Tt/tQ3P8otaEFjv1+eb34PibIkQFyVtWbXuZsADLVA7myOA9DgK2nyFf+d1GtG4Iy9xj3HdxPvW8lVecaw3/qM5vD6lGNnl9lNdHPdJyfPK4ChQIvlQU/jYknR+fwl33R5NU0/LKM8DbwyoQswoZMhlPbOFLixSOpsY79z12TzZr0cIIrjtDLfIZAc0Pmyqc+s6noPZLf/p8PYwNHoh+wGgDfnx6izGzh4Xe2k1elJNLHwMIRuby0P4q8Gg3hPhaMZhOldY1/aYdqDSQ/OJYQdS0F+77gTztjXOYb6WPg5fFZhA2ZBKe+bjRfgJWJmVwVUodi0G0oguMu+vM6ufVTzqTtRmvIxZJra4heO/Rhhs2cTXhUy64/o9HItm3buOGGG1Cr1S06tjWUVNbz8Mpt5FU3ft0jfS2seuSGZmXbNIfBYGLx23vIKy5jxYQMR/bPY7viiOsdxtP3jO40d+J3JHsmSW5JQ4+iqBCtI9Oko68Z0aCksp5H3txFbomeyCBPHp8WwV825ZNXVk9UiJaVc8e12r+fyyHXjGgpuWa6FqvVyk8H8wkM9SYsyp/C3ErKi2q5clhEu2VtOl8zen3jHnvtqTN9TgC4bvKl331+OU4V1bBg3WFWzBpCv9D274XW0+5Gjsgu5J33VST1CkTn2b4f8U0WK+VGM4FqFR7K9l3gK643sf5sOZPvuYURvcPa9bk70uYTe1HXPU9P/QsZdtU73Dyg8bpCd7X5xF686p7v6Gl0mJ72877pMrLGLof83W5/k016RueMaresUGfZZXpW/u8kj0zpT++g9n/dOyor1J7xfTFdJlhid/6HLqvVesEPYu7Gn7+9pef09PTE07PxApRarW73D/Uzt/Qn3ns292SkAKAw1aMwtSzNslzpzRfamRxXD+GGoFXog864NInv//UU5s8dwSTrFm6q20iBUscJ9SCu139OiVLL49FPk1TzPiOM3xNafYwd1muwqEeyd9RIACbpbcfF6dPZp3T3R86DdGU8nMs681ObyanW8MIP0dx1ZTGv/NgQaZwbn0+0jwFUSvL1Sl5Mi8LglDGWfCicPw7LY/HuqzmgHA5qHPOO1aezo3wEo4buxMhOx8Vf13sVWuDVTT7M3x7LmUoND6bEAhDlY2DVhEwA7vsmjpK6hp9viJeR16/NJFx5BQq/3kT7GHhiRA4PpMShspq4wniEhyb4nZuviny9kud/cJ0vwHPfR7FmciaRfjoUF7l+jCYL72b35lS9J6uvPYnhhInMvbs5c3w7KV9ew7J7Ey5pwb851661tgT05aANQuHdOqmR4dpKXh1/0u3r/ur4TMK1E1GoL9zs0WiyUFFjIERd45hfidG7UY+NilozZ4vLya1S8fB3MSwZncPStGhya1SYLEXUGqzotD31I0eDXmFqnvj1SOas3OHY9sSvR9IrzHWBpyN+3wlXESFqXr1/FPNWbedMcT1z/2HLhozys/Dq/aOICOlcjVLlmhEtJddM11CcV0XRWdt/P//YcLNNRK8gdJF+7ToXtVrtKD3VUTrT5wSAPqFqOqLNuYeH7Z32gMiAFvXCEJfGx9MXS100V3lFEuvT8TdKtJdMRT3r6vLw8fTtUX8vevv3pSZjPiuHZtHft2U3SnZlJ6s9eeRQDL0n9+2RP+/AOjMeXaIuTOswKaDcS9Xjft7yd7vnUKvVTOk/ukOeOz2nghWb9UzuO7JH/byb+7ukywRLdDodKpWqUcZHYWFho8wQu4iICLfjPTw8CAkJueCYps7Z2VwVBVf8fBRTVHbjnVZoKnvPo9oHk28NAKUe4RzXDAVgTfwE+hijuTHzNBW9bY3Kl/zW1gA+1etG8lW9OK4eggozOcreHFcPAYWC9T73cNg4yvb43JPauiAoXI5zP0lcJqoEwrQGcms0LoESgNcPRXBFUCZqZQTzU/uTW6MkysfgtPCt4dUfI/FVm6gwqBvNO8zSdIQ+wtvEopE5zP+uIbtjyegcPBSgNzd+KZ0fK7xDyFP3ZWmabXE+sW4rN9VtZPfWMYT/9i7UynAeTImloNaWdRLiZUusLK5TU6jXMHd7f/42zhtdk7OzqagxcDqrkLxqJfO3x/LUSCVfZAxll3k4UVkFVNS4NuZuDVajHuuxjVDW0LjeGhSHYtB0FOrLjALry4nwNrFktC3IZLdkdA4R3ibQl8EFAjNGk4XFf9vD6awCkhNPEuFtIr/Wg/mp/ekbE+4SPPJXVPH86Eye/r4XuTUax/NF+RhITswkRF3L+T17ujt7oMn5mjl6pozn39/nMm7pB/tZPX88EcFSZrCzCc/fypKRBTxwLtAIsGRkFuH5WyHszo6bmBCixwgO9yFucBgZRwsd2+IGhxEc3v53JQrR0+Xp2/9uZKPFSnG9CZ2nB+p2zizpiO+3M/BUeWGpiybOo5ZBnh2bTdeezHVaLHXReKp61mc2+89bqTehat+2Bh3KogQLHj3u5y2E6HhdJlii0WgYOXIk27Ztc+lZsm3bNqZPn+72mLFjx/LFF1+4bNu6dSujRo1yRJPGjh3Ltm3bXHqWbN26lXHjxrXBd9H6/vrHCTz7+BfsqZvI4PN3XuC9ql9RFGtCJlGvUjsCJQA/akdz1GMEc3YcIn/wPvKGpdHHepy9JGBWeHBcMxSVworCquQnTUNgxL5PrbRgtthCIBYUeCotGCwqjjuNbUwBWFEAGpWVojo1wZ6ub3wfG57Lxz/pyK3RMD+1P6uv8advTDhkFZCcmEmEt4lXEzOZv70vvXwNHCltWNS1zy1QY+TKwHq8Tt6B2qc3VZGv2F6LvMdAUU32Dx/wp52uMfxnvo/GalVQaVRRb3bN2CiuUzM3JZa/Do9AUVHHynUnGFbxM1MVBfSvOwTAIUU8mzf6suZRX/rpVJTnWPDXmFgzOROAuSmxVNR70C8mjLwTRZgi/QjvFUDB2QrKCmsYOCLKJcspRF1DcqItEyO3RsPc7/oDEOXbdgv+hvSNVBScRecUFynOPUuAeSOewy9zMVYbSH6tB0vTol02L02LJnliJpHaoAsebgseFZBbZQseNQTNlOAUPDKaLDz5/mFOn+3Fg0PyeXJPjOMcOi8TIV4XD8x0N0aThSffTeN0XqUjEHL0TBn3vZqK2WIlKkTL0/eMZOkH+8kprmVe8k7eejiRAO9La84nWp+1toT8nGyWpsW6bF+aFkWydya19cfwjYi84O8UIYS4XEqlktgBoVSV6SnOq0IX6UfsgNCOnpYQPUqQjwYvDyXvnCpu1+e1mAxU/7gFU3k+HoER+A6/GaVH+9ab9/JQEuTTc2rcCyGEEKJtdZlgCcCjjz7K7NmzGTVqFGPHjuWdd94hKyuLOXPmALYawTk5Obz//vsAzJkzh9WrV/Poo4/yhz/8gd27d/P3v/+dtWvXOs75xz/+kWuvvZa//OUvTJ8+nY0bN/L111+zY8cOt3PobEqMPhz0uYUVWz8nfRpoKgIx+tgyZTRV/hj8Gtdj+87zer4cPgsUChQ0zuOsV6v4xdzhqKxDuMJ4zbmMECv9/OvIrPLCbFWg8zLyf31Kee9EhMuxQRoTT47O5qPsQZwprAUs57Ip3OeLapRWgr2MPDY8j16+9SgU8NB3tgCCs49/0vH0NWd5fm8sfWPC0QV4sezeBDIySsk6GkWesZq3DtRjttZxtlpDnVmJUmHF4tT0rsrowd0DitCEh4O14Q21wkdDiSmQP6b2p+5cQETnZcQKFOrt42zzD9MaeG5MDs98H02hXkOFQY1J7Y/OR8MQxc/E1G9zmfcZ37HU1Jl55V8HWT7nBioObcajKhud1lYi4p1b6zH1n4LCqOJ42lmKcyo5tjfHcXxolL9rCYvLzMRoKUNlEU99aeJ0ZR+SJ2Y2ZG5s70Nf/3pe7FeMxv9i+TBNKzH6NJkhND+1P29fJNvm/OBRU9kiFTUGThcZya3R8PT3vV3OcaRUy8lyLwZfJDDT3VTUGDidV+kIhCyZPYLn39+P2WJFpVSw9P+NZnCfIFbPH8+85J30jfQnwEcDVvPFTy7aRXFhkePab/TvZ3ssfxydg/ms5cK/U4QQopVozy1WamXRUoh2Fx2o5X+PTaKsxtBuz/nqC0v45ztvYLE03OpekfIuv7nvQR59amm7zSPIR0N0D6tzL4QQomfTG8ycKqq+5ONPFla7/P9S9Av1RavpnjfTdqlgyR133EFJSQnPP/88eXl5xMfHs2XLFvr0sWUD5OXlkZWV5RgfFxfHli1beOSRR3jjjTeIiori9ddfZ+bMmY4x48aN41//+hdPPfUUS5YsoV+/fvz73/9mzJgx7f79XYoAHw29o3VUh9sWwwwB5Y5+I74FkZS6CZb0Mp+Bc3cWB3iaKK9X44EFEwqcsz/sGRlgxUNhJbvaE7NVgVJhpbzeg/dOuJYqUymsFNZp+Mv+3qyeNwy1XzDG6lIefOtH8sob148O8TLSP8DIrwdWMDSkBrUSivUeYFVQZ7Ytnj80NJ/XD0WQW6Ph+b2xLJ97HXERfo7SSn36BFJT1Yusn4oprjlFaZ0KjVLhEigJ1BipMnpgtip4Pq0Xb403EBqhIcD8bMPraLJwRWw41swCFFaTo1wWgMZDSW8fDyoNetZMtgUM1kzOZO72/vSLCUMX4IXaQ0nC1Ol8/pkHXrV5xBsPADCo7nt2K0eRU6ZHb1ETNf5OrLWltqCGNoiwc4ENi8VCfXNKWFxmJkZLVZSWcLrS07H46rwYa9tfTOhlBEsCfDSNMoSSJ2Y6ymgFXGzBpZnBI12AF0t/dw33rdiO2SmAplJYMVsVPJ0Wy9vXXbwMWneiC/ByBEJyimsdPUqiQrxZ+v9GMbiP7VqKCPa2ZZSc6wFjNEqwpLMICA6hr7+tTrU9mJk8MZP522Pp619P7ytiyDzVkKUnZXGEEG3JP1hLZJ9A/INl0VKIjhAdqG23oMHChQt5763kRtstFgvvvZWMzs+Ll156qV3mIkRPYVIoQNm+TUusgFkBKusFC5e0CZNkwwvRpFNF1UxLvvyb/B/+94FLPnbT/Andtt9JlwqWAMydO5e5c+e63fePf/yj0baJEyeyf//+C55z1qxZzJo1qzWm1+7UHkpefWA8P4bayiH55/ShKvwEAFsGReKhiOTanGPUhjY03CxVhDi+1htVhHoZUCjsWRTnNzqxPTZZFSistj/MFqsCi9MYf7URb7WV/FoNKoWVXoEKdBERtoBGQBTP/KqeOWsONZ670so9A/N5dt+VDIi5iheTIgjUBnFF5k+onBbPrwhqWDx3DpQYTRaW/GMfp/MqmTc6mDcmnWKuU18QsGWCrJmcSVmdB09/34u+/vUEKKoA14wYtYeSZfcmUFFjICcnz2W+Kx8Yi6KomqzsCqoCriRygJZIbRB/G+faRPzK62dx94ibuf+V78gp/Iyb6jYSpU8nus+1rJ4/3tEXQuEd3Cj7o7klLC43E6MlrFYrFUVWx+Jro8yNiZnowqZc1nM4v+4h6lrQlxGpDeLtcY0btLvVguDRFdEBXBUbxKGMcse258dk88aRXs0LzHRDEcHeLJk9wqWZ+9P3jHAESuxauw+OaB0a/1BemOpBRcEZR7ZahLeJNZPOEBDeC8+hV1JdmyVlcYQQ7SIsOoCwbvqBSYjuriV3qBoMBl555ZULjnnllVe484E/odE0//11d75Dta2crPZs9+esNys4q9fQS2vAU9W+C/cd8f12BkE+Gjw9lJT3wI9knlJmTwi3+oX6smn+hEs+vs5o5myZnl5BWrzUl/a3t1+o7yU/f2fX5YIlojG1h5IrYjzJK4LY3VMojvMnb1gavgo9XwbN5lMfNZP0W7ipbiMnPQay3uc3BHsaqTWpzpWrgkgfI8V6NRYUKLHy8LBcXjsUZcskwYpaaaXe4m7h2sqAoHoeG5HLI6mx9PIzsezBaY5F7vzSWp75+Gijo1QKW3Dloe/iMFtNqAvq2PeTB3GxHrz4+zGcPFlMbfVA6KsmUhvsdvHcuYzQqh31PDtSjcnievfBc2NsGQa2BcRMAjxNqP1ubvJ1NJktLP3kpMv2ZWt/5LEbr8Tf0wOVXwiKEFugxV1QIiLYm0enD+bJD2ocTeXfmj2i2Y2xL1bC4nIzMaxWK8f35xIU5mPrY5BT4dh+vpL8arLPWhjiG8RTo3KZuz3WsW/J6FwionvbAj+XSe2hPLcY7+UIIjU34NOS4FFxaTlFRaVAwzX0xpFePP/7sVzZJ+zigZluKL+0lqUfuAaTpZl716KJn45OtRHKMhzbdFG9UAyy9fKSsjhCiLZmNFkcPcLsiivqmnfTgxCiU2jJHarl369zfHZQaP3xjZ+CR2AEpvJ8qtP/h1VfidVq5brfLSRwTPNvSOzOd6i2tiAfDVq1gkcPxVx8cDejVSt63OJ5dKCWb9q5zJ7dycJqHv73AVbdcTX9w9p/YVTK7AnhnlajuuS/mWazmdTUVPR5eVRHRjI8MRGVSm5WcCbBkm7AUFnEc9/C5Hj47a8H8/67RrTlOv58w1TqapSghlSvGx2L9ygUoDCxKjGT59Ns2RaLR2fz7J4Ysqs1LE3IZlBwPYND6liypze9fQ3cElvKMz+4ezOm4EyVBi8VrPm/egJH3IZGayvzUlxRx7zknRRUmPBSWfBVm7FarZTUaxylkMxWBeEBGpbeeTUFxwo5VlzrcvbAXuHoQvzcLp6fX0bIuQyTnT3DIMLbRIjWTI0qCk0Tpars880priVaZ7vj3t7c+i+bj/Ls9YEE+l74DUJ+aS3JX51wKmHWssXni5WwuNxMjJL8avKzysnPKufY3hysWEAJpYU1RPRyfdMZHO5D3OAwdv04jPd+zHbZt3RfDKsTJxJ50e+obTU3eFRcUce8VdvJqz4vqFKl4em/7+btx6f2uOyJC13v9mbuPe016YoUai2Koa7l/ZyDmFIWRwjRlowmC0++m8bpvErHe5380lpHr6sXfzdaAiZCdAEtuUP17v89z0FAo/EkONif/LTPHPsiontRWlSHwWAgtvooH7bgrtfufIdqa4sO1PL1gsmyeN6DtGeZPXf6h/lKMFOIbmD9+vU88sgjLi0sYmJiWLlyJUlJSR04s85FgiXdQEZWAYeKfZgM/OOjoygtKvzye/HOti345/Zh6twRhHhb+NWQQJ79wVZYq8bgQaXlCpaPLyTGpxCNCl6akEVFvYejnMug4HrempxJnRkecsoqOJ/FqoBeCYTFJ7psD/DR0DfSH4AVEwvQ1uVjslq575s4SurUjnHPXlvFwDgfNBYdRw7l4+9puyzjBodh8VJhNFkafdA2W82k5qaSVZXFtF9E8faHDft0XkaWJpx1aXS8ZlImSlUQx2qGMii/2m2DY+f5Jt87mAivcl7/f/2Z/9YB+nqXMNB6AHUWWKriUAyajkLt+malNRafm1PC4nIyMewBEOfeKABBoY0DOWYLGHw0/PVgMcW1KkJ9PXhsWiSr/ltIblk989fs6/AF9eYGj/wVVfT1rQGLZ+PeDr71+CuqgZ4VGHC+3u0LXI2auYsuw115P5CyOEKItuWc5TsveafLex/7fgm8C9H5teQO1Ypi2+cIg6Ge8pJil33lJcUYDAbHOFlcbTuyeC6EON/lNP1ujYbfICUVO7P169e79PC2y8rKYubMmXz66acSMDlHgiXdQFxMOEN1BwHbnR0WpZmsa1Ioi/uZ4NMD0Ciu5vWJmfT2NRHte5rFu3rTP7AeRXQ0BYXDCTbvI1hVhFqJI1DiENibRz73pECvpHE/E5tqowpTUL9G29UeSl6YHU/5wS/Q1WeDFvJrPfBUGBloOMpx9VBQKFj6jYKV2i9451gsxzJK+d3QSPrHBeMV6sPc193fmZiam0pKTgqWajUHtnoBDfVLlQorYd5Gnh+TzVPfxxLq7cVP+kSM+F2wwbHLfE++jxUIscCL13gSF1CP+tzTF+eeJcC8Ec/hd7oc3xUWn8/vjRIS7ktVkW27M6PJwlN/24Xp1E4ig4aDWcG8SVG8/nUxvcL8USirO8331JzgkdpYyQtjs12CgS6l2YwVbo7q3tQeSl783WiXhazzm7kLIYQQF3J+lq+9B1a0ztulX5sQovuIjIwkMzMTgLq6Opd9zo8jIzs6B10IIXqW1mj6fTkNv0FKKnZWZrOZu+++GwCNRsOsWbMYNWoUe/fuZd26dRgMBu6++26qqqqkJBcSLOkW1B5KHhqaz2FLf9694xQTCr6nPrAcgL8OGkeQ1oT23LU+KLiev06xNf/9tzYbrwoDpuqx6LUn0UQWMOWKc3Vlz5VzCdIE0vfAHsgqIEit51ipt0tzdwVWBgfXERoegTseP3+Brj4TgGK9B/O3x3Jl6dfcVLcRTcwQVljuI7dGwx83GbBqyiiuNvC3/Tk8qPPhuXMfvA31Zn7+uYhBA8MoOFtBWWENWd5Z1Nd6cGTrFRTVeDrKfGG1UqjX8MC3sSiVHsT0CuXuoVFUl+ib1eDYeb5GCzy1uzenKxuyEfJrPZi/vQ99/et5sV8xGv+GBfautPhs71/g5aOGosb7K2oMBB79F2NL13G0Ygy/nnQ9r39bT26NBqvVyvJ7xxAX4depvqcL0ga6DQY6HjdRmq27awg0NZCFLSGEEC0REWzLprUHSgCWtKBfmxCia4mPj2f37t3NGieE6LoMBgMf/PVNSrft4gOvQyxdvACNpuNvlhRNu5ym363R8Ns+B9H5bN26Fb1ej0qlIiIigo8//piPP/4YsJXhysnJQa/Xs3XrVqZOndrBs+14EizpBoxVpazbVcyAhP6MMm+nPrDhjp7DPqN5/9pTLovE9ua/MYXfk+VRCkCxykyM7sqGWvfn/q8Glt2bwOmMbBb//QcsKIjyMfDQ0HxeOxhBXq2G/FoPyosLCY1wDZhYa0scTYeLTv9MeWE+t1cYiKhLByCubxTJ0edKIfnXM3/WVfzxg2zyy+tY+rmtKXx4gCczr9BRcLyYguO2NO/KehORg/pRos7E5G9AaVGAAgpqNYR7GwjxMlJp8LA1r88tQjHa1mvlYg2OnecLUFHvwelKT0cpL+fm4QAVpcWEOgVLrFYrJw/mERTmg9Xfk4LsCjKOFxI7MBQPf0/ys8spK6xh4IgoFIrGGTrOpcVi/GJIjEpEpWibiK69j4FfkBdkNmwv/P5zqk79iL7wDGNLtwBwSBHPB7ttr2GUj4HkG+uI6tW17hRQeIdgDYqDskxsGVKOPRAU2yqN6oXoTKThshCiveSX1rL0g/0u21rSr00I0bX4+TUuZ3w544QQnc/ChQtZsWIFFosFgJf2b+KVpU+xYMECXnrppQ6enWjK5TT9BhgV23pzEZ3Lq6++CtgyTIqKXO+YLioqwmw2O8ZJsESCJd3C6eJ6PEozgIRG+wbV76XWqON4xQBq8k7Q96Y7CIm1LXwnRiXyXen3VBcX0VsXQWLUGLfnV3soifM30Ne/HsCRZXFFUEOgI0BRBZyXXaIvd3xZdvYM+SeOuIwoyznDwCsGsmZSJkYL6HT+PJNYwQNfNJTUCveqZd1PRfw2PpJALzXldUb+kZ7PFRWB/OraIcSPPU5FvQcmK8zfHusIZMC5hf3ETDRhIyhWN6PBsdN8wZZ1YO9rkVujcTSQj/IxkDwxE13YFJfx+TmV/PRzMf7nmqeDLbBTnZbD8X25jnGhUf6NeqYYTRa+PLWd/RXfAXC68jSV1Ram9pvUJgub9j4GRqMRfmzYXnZ4O3kpH7mMPage7fh6yegcIox6rLWlXS7AoBg0HeuxjS4BMYJiUQya3nGTEqINSMNlIUR7aY1+baJzupy659A6tc+l7nnn9MUXXzR73IoVK9p4NqI9SaZBz7Bw4UJefvnlRtstFotjuwRMhOhaysrKHF9PmTKFJ598kvj4eNLT03nxxRfZtGlTo3E9mQRLuoG+Ok/MwbaF/KPqIVxlSnPsu9J0DK16HNmHt2NK/4hCsgm5/3UAVAoVk4eMa9ZzqP2CeWZMNmerPInwbuj58GJCNr386lH73dz4IG2g40uVWoOvLoz6mhqM+hoA6vHEaIFCvQdP/xBLr0M/cLbMNePiSKESs9XAu4fymHllKJ/+VERxtQF1fhUxQQmoC487smaWjM5xBDTsjyO8TSj8Teji+lz8m3Sar12Et8nNeXOJiO7tEiwwmiy8uvkYP2WV89v4CEdg592DeYRq1fwqPgIPpcJtzxT7wubBM+Vcfb0arY8RfY2aNzaWs6NPWrsubAYNmYiHtz/6s0coPmQL3AwzpnFQcw0AS9OiSZ6YSaS+zG0z6c5ModaiGHon1tpSR5m5rhbwEaI5nBsuP/haKk/PiOT5DXnkltY59svipRCiNXSFfm3i0rRG3XO4vNrnUve8c6qqqmrVcaJrWLhwIStXrsRksn32fmn/Jl598WkeeeQRWTjvxFoa+DYYDG4DJc5efvll7nzgT80OlEngW4iOFxUVxb59+/D09OSzzz7Dw8MWDkhISOCzzz7D19eX+vp6oqKiOnimnYMES7oBtV8wd0zQ8aMJ/uNzL+OsUdxUt5FCVSRV+LLts6/pX3cQgIDB117Sc5g0QTy7fwCnis28Mamhf8ei3b3pp1OxfGIg6vOOcS59ZDYaqC4udNm/+6wXb23vw5FSb8xWBYU1VsxWFSqFlauCaynSq8mr1aBSWCmuNvD2flu2hr1paGiwN5bCOCjLIL/Wg6Vp0S7ndyzsO/WjsFqtHN+fS1CYD+G9Ahw9UAaOiHJbqsnteffFsDpxIs4tCytqDGTkV1FYWe8a2KkxgAJqjWb6xga57ZliX9isrFSRtvUKhow/w+GdfdBXqzidV9muC5thY24lbMytFOXn8cXzSxhbuYmh1nTmTAp1lCCbvz2Wt4b7cOHuL52Xwju4ywV6hGgJXYAXyQ+MZN6q7eSW1jHnXVs2VZSfheQHRkqgRAjRarpSvzbRMpdT9xxap/a51D3vnHx8Gm780ul0TJ48GV9fX6qrq/n2228pLi5uNE50Li1dQH/1hSW891YywSE6EqfO5LsCJdeGW0j98lNefvlliqvqePSppc0+nyyet5+WBr7L9nzSrHGT/9+fCEq4vVljJfAtRMcbNGgQX3zxBfX19UyfPp2nnnrKkVnywgsvUF9f7xgnJFjSLSi8QzD59YJz2VKpXjeSr+rFYOMBrq3f5jJ26S4dryWY0bTwQ0txRR378tTUGVXMTYnl2WtyePaHaApqNZTnKSmuqCMypHFdanvpo6BeffDw9ERfWUFJ5ikADimu4lCJ7U20SmElzq+OjCovzFYFxXVqFgzPZcWPUYRqTRwqaTi3c9NQxaDpFO3byPwvVeTWaIjyMbj0Fpmf2p+3x3lj7yxSkl9NflY5+U6lsqChNJZzqSZ7Q/rcGg1RwZ48PSPKcXf2/DX7XEpL6AK8HHdS5hTXugR2HrvxSvT51U32TLEf++DrO8ktgR/+eyUAUSG2oFBHLGwG6sIpi72RL3KiefQmHyJ99I6SZH11KgJ1Ye0+JyFE84Xnb2XJyAIeSIl1bFsyMovw/K0QdmfHTUwI0e2oPZSN3qtIULbru9y65yC1z7ur4cOHc+qU7fNcVVUVn3zSsLjq6enpMk50Ti1ZQLeYDGS//QYKjTcVRgUbP3wbgI2Ayj8Uhcab995+k699JqP0aF6mgSyet5+WBr5nfPYYlc0YF5r3PRvmv9bsOQghOpZzJtiWLVvYsmXLRcf1ZBIs6QaKK+pYnBLIr4bVEaY1MG9IPk/uGYIHRvQKb0b6leJTvA8Abdb/OHlqMIMHtmyxW+2hJMBXQ11ZHQW1GpeyVAG+Td85aC99FNb/RsL0ZVgVCrLeX0Dm3t30Nx3joKetT4rZquBkpa2nSJSPgaevOcvzP/QizNtIYa1rzsrzf/uO1Q9PJDIsGIVaS9CoX9J3XyrklJCcaMt6SZ6YyfzU/vSNCXcpAREc7kPc4DAyjjZkuTiXxnIu1RRYVULfjHwUhXWO0hJv9OnfZGmJiGBbre45KxveeC65vT+RAYGUenpcsGdKRLA3T9/jeuzT94zosMaoag8lL8y/hfKDFnT1trvSI7xNrJlhJnDYzXKnqBCdmLW2hPycbJamxbpsX5oWRbJ3JpH9u17PISGEEEJ0Ds4BEfudqO4eO48TnUtLFtA/+OubvGS1YDXUYjbUuuwzVzY0Cf6V73Fm/2Fus59ftI+WBr4rSosbjtVq0ev1bh9XlBZLwEuILmTSpEm88MILBAcHU1pa2mi/ffukSZPaf3KdkARLuoEAHw1xkf5AHU//cggBxj68EKVm0aeQrhnJl2aY5LWFm+o20td4jPe2n2ZZf12LFrx1AV6smTeaP7yynRJ9w3EhWgtr5o2+6B2EjtJHJadQ9x/DFxlD2WV2f7fRXVcW8/wPvcit0VBQq8ZsVbhmjFRpmLdqO28/PhVdgBdqDyXL7k+kosZAiLoW9GVEaoN4e5x3oxIQSqWS2AGhVJXpKc6rQhfp57Y0lsI7GI13MMv+0K/ZpSXyS2t5/v19Ltuef38vybdaGDD6VhTqpoMl+aW1LP1gv8u2pR/sdwRpOoJG60NYgmuPjzBZYBWi0ysuLGrIijs/2257LG8NKiQ0Vv4tCyGEEKLl+vRpRi/IFowT7a8lC+jVRWebPU4Wz7s+pbJhjWPy5MksWbLEUapn6dKljrvRnccJITq/SZMmERoaSlFREVOnTkWr1VJeXk5gYCB6vZ4vv/ySsLAwCZacI7/hugG1h5Ild48AYGB8P2KuuYbBXicI9jQ7xqR63chnQffzkeZuMvKrqKgxtPh5rCe3obCaXbYprGasJ7c1cYTTsVYrx/bl8FOOhYd29GOXZQRRvkZeTMhCpbC6jH3lxyhyazREehsYEVpDlI+B5ImZDNXZSkFF+Rjo61uDv6Khzqq9BITCOxhFSD8U3sGOQIo79pJYTZXGOv+8ztydt7iijnnJO8kt0RPlY2DNpAyifAy2xcnPlRTt29jkcxRX1PHg6zvIKa51OTanuJYHX99BcUXdBefY1pxfUyFE5xcQHEJf/3r3vzv96wkI1l38JEIIIYQQbkycOLFVx4nOzWg0Or5WKBQu+5wfO48TXVdISIjj67S0NA4dOkRlZSWHDh0iLS3N7TghROenUql46623AEhJSWH9+vV88803rF+/nu3btwOwZs0aVCrpJwWSWdJtOC/eW2tLMJVl46GMdWwzKzz4gRGE+xhIvveqFteSLsrPY+5GJcV1riWxiuvUzN1o5a998wmNiGjyeHuvEJPFSm8/K2Dg+THZPP19b8xWBSqFlVi/Ok5VNmRf/HFYPgmR1VTUe6DTmoBzpaAmZRLgaUJtrAAubdHPP1hLZJ/AC5bGaokAHw1xYV5Y9eUkT3QqBbY91rY4qc/GWuu+9E2Aj4a+vtVQZ258rK+5UbkvIYS4EI1/KC9M9aCi4Mx5vzvPEBDeC42/BEuEEEIIcWmau5AiCy7dg/MCuaenJ3V1dW4fO48TXVdkZCTHjh0DoKioiPvvv7/JcUKIriUpKYlPP/2URx99lDNnzji2h4WFsWLFCpKSkjpwdp2LBEu6IXsJlkK9hhAvIyVOAQ6TRYGqrgSIatE5jTXlVNTbLpcwrYHnxuTwzPfRFOo1VNR7YKwpA5oOljj3Cpk+qD/R6gP08a2nr7+tru0fh+Wx6oDrH9zXDkZwRZAteODMvvhXXKFCF2yl4GwFZYU1DBwR1ehul6aERQcQ1oppwmoPJS8mRVD+4x7H/EK8TLyYkE1cQD1qJaAvo9jYuDSYh6GMF0aeaDIo5GEoBw/J6hBCNJ8mfjo61UYoy3Bs00X1QjFoegfOSgghhBBdXX5+fquOE52b84Ka2WzmV7/6FaNHjyYtLY1169a5HSe6rjFjxvDNN980a5wQoutJSkpi2rRpvPnmm5w6dYp+/foxd+5caex+HgmWdEP2EiwmC5wfO6gxqqjLPki+pneLAgwhfh6MCK3hVIUnb062BTDWTM5k7rex9AuoJ8Tvwv+wXHuFQH3o9ahjSnmBL8mo8OTJPb3Jq7XV139oaD6vHYwgr9ZWX3/NpDPotA1pvVYUlBl0pB+sgYNHHdtDo/zRRfq17MVqgtVq5fj+XILCfAjvFdCsgIzaL9gR7DBa4KndvTld6enIFsmv0zL/b6n0jfTnxd+NbgiY6MtRKxuCQHaOx/oyW7+XNp6/6LmstSWgLwdtkJRb6yYUai2Koa49h+RnK4QQQojLdfasrYeFUqkkOjqa7Oxsx76YmBjOnj2LxWJxjBNdm1ptu/FSoVBgNBpZu3Yta9eudexXKBRYrVbHONG1TZkyheXLlzdrnBCi61m/fj0LFiwgMzPTse21116TzJLzSM+SbkjjH8ojE0CpgIJzAYjkazMI1RqoMytZ8KWKw5/9k59+KiI/p7J551QpWTYum3eua8j0iPA28c51mSwbl42mmVnWzr1CFIG9USshLqDepb5+YnQ1qyedq68foiQgvJfLORSBsdT0+oXLtrjBYQSH+zRvEs1gLxt2bG8OKRuOcmxvDvlZ5ZTkVzd5jMI7BILiAAUV9R6crvR0NFQ+VBPNvHcOk1Ncy+m8SteeMdrAC09GG9Qu8xc9j9Wox3LoX1jT3sGa/h+saW/bHhv1HT010Uqk55AQor1Ya0uwlpyyBWmFEN3Wtm22fpWxsbGcOnWKb7/9lo8//phvv/2WkydPEhsb6zJOdG1XXXUVYLsZzx37dvs40bUlJiZetHm7UqkkMTGxnWYkhGgt69evZ9asWQwZMoTdu3dTVVXF7t27GTJkCLNmzWL9+vUdPcVOQ4Il3VTIFcPpH2ALQLyamMm/f9ahVNhKaF1v+C/qH5ZzNuUFXt18DKPJcvETagObzH5QK2n2gr5zrxB7cEGtVPDC2GzWTHINxKyZYebFeb/Ac/idKEbfjyL+lyhG349y2J30GdTLkUWii/QjdkDoRf+ot4S9bJiz5gRkFIOmQ1AsOq3J0VA5t0bDA18GkFtaR5SfheQHRrr0jHEOspx3NgiKu6RFzkudv+hZrMc2Qlmm68ayTNt2IYQQohkk8C5Ez1JRUQFARkYGM2fOxNPTk2nTpuHp6cnMmTPJyMhwGSe6ttGjR7fqONG57dq1C4vFtj50/vqK/bHFYmHXrl3tPjchxKUzm80sWLCAadOmsWHDBhISEvD19SUhIYENGzYwbdo0HnvsMcxmc0dPtVOQYEk3pQmIcAQgtCpQ5h9lRPHn/F/pXxlQ9BUAhxnQOMuhCa21oB8WHcDAEdGOfiH24IJLIMY3HIb/lrCEO9Fofc49f+O7o52zVJrLaLJQXFHnsq24oq5RwMheNqylARmFWotyqC24ExEWwpLROS77l4zMIjx/a+Pjzr0OLoJiL7m/wKXOX/Qc1tqSc/0szr9LzAplGXJnsBBCiGaRwLsQPcuoUaMAW0PYw4cPM27cOPz9/Rk3bhzp6emEhYW5jBNdW0hISKuOE51bTo5t/SIuLq7RPoVC4dhuHyeE6BpSU1PJzMxk8eLFbgOhixYtIiMjg9TU1A6aYeciPUu6KYV3COqQOHRlmYCVO4LSqCw97DKmKHAYyVMKCTHlYK29eD17xaDp5z4QNzQMvpwFfbi8uvrOWSrNYTRZePLdNE7nVZJ872AivOrO9RE50qiPiNFkoaLG4BKQKa6oa9ScvWlW8gtLWJoW67J1aVoUyd6ZRPYvdfk+26q/wKUElEQPoS+/yP6W98oRQgjRszQE3hvtcQTepQygEN3Lq6++yltvvUVBQQFTp07lscceQ6vVotfr2bx5M19++aVjnOj6Dhw40KrjROdWVFQE2DLHvLy8qKtruNFUrVY7Msfs44QQXUNeXh4A8fHxbvfbt9vH9XQSLOnGnIMb0bG9qVdo2XfGQLzxAACPR24jwtIXa7qtKZ81KA7FoOko1O6DD23ZMFjhHdzihdmw6ABHhkpzVNQYOJVbQW6JnnnJu1gyOoeladHk1miwWq1U1BjQBXi5BFWeu30okX0CqVcpmLPKTXN2J/YAS4i6hqLTR5i/PZbcGg2R3gaevqbhueZvj+WtQYWExjb+fi/ldbiQlgaURA/SBr1yhBBC9DASeBeix9FqtUyfPp2NGzfy5ZdfOoIjzqZPn45WK58/uoOsrKxWHSc6N+cMIYXCtaqI82PJJBKia4mMjAQgPT2dhISERvvT09NdxvV0UpOnG7OXhOKKqZgjBvFK3Ww+8n2A/3rZMkH2Hi0kv9YpXtbMkgkd3TC4uaW0zqcL8CL5xrKGPiIpceTWaGyN5W8sc/QRqagxcDqvkpziWp755BD1gV4888kh983Znea0+G97uP8vX5K3/V0CinYS5WNApbDSy9fAoGC9o4dJX/96AoJ1rfeCXMD5Zc+EsGuLXjlCCCF6GAm8C9EjbdiwockeFaNHj2bDhg3tOyHRZnr16uX4+vwAmPNj53Gi6yosLHR87ZxVcv5j53FCiM4vMTGR2NhYli1b5uhLZGexWFi+fDlxcXEkJiZ20Aw7FwmW9AAlynBHlkOUj4Ff3nQlX4Tczwea/8f87bEU6+0Bk7brVXCpAQ5353ny3TTmrEolv7QWgPzSWuasSuXJd9MueD5rbQkRxtON+4iMziHCeNrxfesCvFg9fzzROm9yimuZs3IHOcW1ROu8WT1/vEtzdruKGgOnswrIrVIyf3ssx0q15NZoMFsV5NRoqKj3sDWtn3SGF6Z6oPFv22BJa73eontr7V45QgghehYJvAvRM61fv569e/dy8803M3PmTK677jpmzpzJzTffzN69e1m/fn1HT1G0Ej8/P8fXkydPZvXq1fz9739n9erVTJ482e040XUVFxc7vrZaXXtbOj92HieE6PxUKhUrVqxg06ZNzJgxg927d1NVVcXu3buZMWMGmzZt4pVXXkGlUnX0VDsFKcPVAwTqwumrUwEGkidmEuFtIuRGX05/Z7RlOXjaGqsX6z0I8DShaeWSCc5lrVbPH09EsDf5pbXMS955wbJW7thKaVWSW1LLnJWpPPfbkTzzj30UlNdhteIopeWWvpz8Wg+WpkW7bF6aFk3yxEwinb7viGBvlswewZyVOxzjlsweQUSwt9tTh6hrSE486QhKPZBia3wW5WN7ze3N63VRvdp8Ibo1X2/RvbVlaT0hhBA9Q1v0tBNCdF5ms5kFCxYwbdo0NmzY4NIo1mKxMGPGDB577DGmT58uiy7dgHNviq+++ootW7Y4Hjv/7KWHRfeQnZ3dquOEEJ1HUlIS69atY8GCBYwbN86xPS4ujnXr1pGUlNSBs+tcZMW0B1B7KHnxwZtYM8NMhLcJowWSD0ZitcK8YXmolZBf68EDKbE8tbs3RnXrlmxyLmv14GupHPzxEA++lnrBslZN0QV4sfTOqwn28qCgvI45q3ZSUF5HsJcHS++8uulACVBs9HbJsFkzKcNRkmv+9liKjT6OsfmltSz9YL/L8Us/2O/IZmlEX06Et8l91oq3Cfokohh9P8qhdzbZE6a1OL/e85J3cvB0CfOSd17S6y16ho4urSeEEKLrspd9VYy+H0X8L9vt/Y4QomOkpqaSmZnJ4sWLXRbLwbZ4vmjRIjIyMkhNTe2gGYrW5O/v7/jaXekWd+NE12UymRxfe3m5rq04P3YeJ4ToOpKSkjh69CgPPvggN954Iw8++CBHjhyRQMl5JFjSQ2i0PoQl2D7IVsbdxulqHwr0Gh5NjeVQsdYRRDhd7UOl1bdVn1sX4EXyAyOJ8rOQW1rHnHczyC2tI8rPQvIDIy8Y4HBn4JUhPHTLQJdtD90ykIFXXrjJmD3Dxp7tMVTn1EdEpyJQFwbYylU9+Lqt9JZzUCWnuJYHX9/RqLwVANrAJrNW8ms9UIQNbreF6AuVEVv5wFi3x0h5LnE+a20J1pJTbVKWTwghRPcjgXcheoa8vDwA4uPj3e63b7ePE13b7NmzW3Wc6NyamyEkmURCdE0LFy7E39+fN954g61bt/LGG2/g7+/PwoULO3pqnYoES3oYhXcwobEDWf3wRFvwokbDvG974192jChfM6sfntji4EVzhOdvZcnILJdtS0ZmEZ6/tcXnKiyv46/bT7ts++v20xSWuwlinGMxGag49DUvzL3RkWED2PqIzDDz4oM3OUpTBfho6Otb7T6o4ltNgI+m0flLjD7MT+3vPmsltT8lRvflu9qKvYyYs0V3XU3yhiMu/V4KyvQALP1wvwRMBABWox7LoX9hTXsHa/p/sKa9bXts1Hf01IQQQgghRAeLjIwEID09HbPZTEpKCmvXriUlJQWz2Ux6errLONG1TZgwoVXHic7NuYl7fX29yz6DweB2nBCia1i4cCEvv/yy2yzBl19+WQImTiRY0kNFhgXz9L3XApBYt5Xf1LzJAt1WIsNa/25Aa20J+TnZLE2Lctm+NC2K/JzsFt25fklZH0D25jdJf/UeMj540pFho4j/Jdbh/w+lJhi1V0Mww8NQxgsjT7BmUqZrUGVSJi+MPIGHobzR+QN8NPSNCbdlyzgHWPws9I0JdxtgaUvuyoi98OGP/HS2wqU815/e3gNAZn6VlOcSAOfqzme6bizLtG0XQgghhBA9WmJiIrGxscyfP5/+/fszefJk7rrrLiZPnkz//v156KGHiIuLIzExsaOnKlrBm2++2arjROfWp08fx9fnl+Hy9PR0O04I0fkZDAZWrFgBwNSpU10avE+dOhWAFStWuARFezIJlvRQP/1vHf979U/8unoNN9XZFkE35UY23ZPjMhQXFl24V0hhYbPP1ZKsj8LvP+fUx8+Rvup3ZHzyZwCChkwEGkpFnP32X6S/eg8n3nm44Un05aiVOJqy2+m0JtRKbI2wz6P2ULLs3gTefnwqkRN/jyL+l0RO/D1vPz6VZfcmtGtD9eKKOkePkmidN289MoFonTf5pXrASkSQ1lGeK7fEli3w8v0JbZJRJLoWa23JuQa91vP3QFmGlOQSQgghhOjhVCoVt99+O3v37kWv1/POO++Qm5vLO++8g16vZ+/evcyaNUuau3cT9t4z/fv3b7RAHhsbS79+/VzGia5t+PDhjq+tVtfPhM6PnccJITq/5ORkLBYLQ4cO5fPPPychIQFfX18SEhL4/PPPGTJkCBaLheTk5I6eaqcgwZIeqLiijm2frmNE+RbijQcc27+tH8a85J1NZmdcqoDgEPr617sPcPjXExCsa/a5WpL1UXZ4O9lb1lC8d4tjW9jY2y4YRAFAG3jhSWiD3G5WeyjRBXi51OzWBXi1a6AEzgWUIv2J1nmTfO9ghgaUk3zvVUTrvLmyVyBL7h7R6JjwoNZtwmq1Wjm2L4f87HKsViv52eUc25fT6A2X6GT05RfZ3zhQKIQQQggheg6z2cwnn3zCqFGj8PLy4r777iMqKor77rsPrVbLqFGjWLduHWazuaOnKlpBTU0NAIMGDWq0z2q1Orbbx4muLSqqoRrI+XeYOz92HieE6Px27NgBwLJly1AqXdcolUolL7zwgsu4ns6joycg2l+Aj4b66GvYr/Tm2hgT1YdsfUMmex7EFPmLVi8ZpfEP5YWpHlQUnHFka9gCHGcICO+Fxr/5wZILZX3Y9pfBucaiQUMm4uHtj77wjCNgUrj7M8qP7iQv5SOX48PG3ub4WuEdgjUo7lwpIufFfQUExXb6xqVqDyUvzI6n/OAX6E6+jxUIB968KY76mBE88tf9jY4pKNPTK0zdanMoya8mP6uc/Kxyju3NcWwPjfJHF+nXas8jWtklBgqFEEIIIUTPkJqaSmZmJmvXrmX06NGkpqaSl5dHZGQkiYmJ/PDDD4wbN47U1FQmTZrU0dMVl2nUqFF8/fXXfPHFF9x8880sXLgQrVaLXq9n8+bNbNq0yTFOdH3R0dGOry+UWeI8TgjR+fn6+gKQkZHhdn9mZqbLuJ5OgiU9kNpDyfzHH6aixoAuwIszG1eR8cmf+WVcEVf9bnSbZEJo4qejU208V+LHRhfVC8Wg6S07UQsWc8PG3ErYmFsBHN9j2eHtBF89xW0QJXxckuNYxaDp53o3OP0iCYpt1nyttSW2O/S1QR0WWPH4+Qt09ZmuG8vP8vDn35FbpSRaZ2sA/+eP9gF6/vT2HpIfurbVSnEFh/sQNziMjKMNJdbiBocRHO7TKucXbaNZgUKjsYNmJ4QQQgghOlpeXh4A8fHxqFSqRgGR+Ph4l3Gia7vuuuv4859t1Ri++uortmxpqNrgfHfydddd1+5zE63P3pNIp9NRWFhIVlaWY19MTAyhoaGUlJRITyIhupjZs2fz4Ycf8swzzzBnzhw8PBrCASaTieeee84xTkiwpMeyl4wC6H3LXHxiBhNy9Q0oFIo2eT6FWoti6J22ngf6sksOJFxq1sf536O7IIpLsOQS5ms16hsFWKxBcSgGTUehbt0yVxech6PvhKsATyN9fWtAHcrq+eOJCPbm5fsT2Lf7W2Ij/Fo1o0ipVBI7IJSqMj3FeVXoIv2IHRDaaucXbedyAoVCCCGEEKJ7i4yMBCA9Pd1tZkl6errLONG1OQdELBaLyz7nx+eXdRFdk0qlYsWKFcyaNYtbbrnFJZPoq6++YvPmzaxbt056EgnRxUyZMgV/f39KS0vp1asXzz//PNOmTWPTpk08/fTTlJaW4u/vz5QpUzp6qp2CBEsESg8NuuE3tstzKbyDHWWyLvkcl7CY29T36BxEudz52uaU6bqxLBPrsY0oht7ZrHO0iib6TqiV8MLYbCrjRhEa7A009CpZcveINsko0p4LwGhbubSbaDutFdgUQgghhBDdj/3O8/nz57u98zwsLIy4uDi587ybyM/Pd3yt0Whc+lZ4enpSX1/faJzo2pKSkli3bh0LFixwlFkDiIuLY926dSQlJV3gaCFEZ6RSqXjvvfeYOXMmhYWF3H///Y599pvm33vvPQmEniPhf9HlKNRalEPvRDH6fhTxv0Qx+n7b40vI3rAHUS43o6Yhm+P8BuZWKMuwLTy3lwuUKlMrQRcWhrW2BGvJKaznGna3VRN6/2AtkX0C8Q9uv8wa0ToU3sEoQvpJoEQIIYQQQjioVCpuv/129u7dy9mzZ132nT17lr179zJr1ixZcOkmioqKALjpppswm80u+8xmMzfccIPLONE9JCUlcfLkSb799ls+/vhjvv32W37++WcJlAjRhSUlJfHpp5/Su3dvl+0xMTF8+umn8u/biWSWiC6rNbJUWk0T2RwN+8suOFer1crx/bkEhfkQ3iuAgrMVlBXWMHBEVIsDORcsVRbQG+vJrY6sHKtVCQzEaqwDdes1eLcLiw4gLDqg1c8rhBBCCCGEaH9ms5l//OMfQNMNoP/5z3+yfPlyCZh0A6GhtlLK//3vf7nlllu4+eabHWWZtmzZwubNm13Gie7DXU8iIUTXlpSUxPTp0xuV0JS/164kWCLaRWsGAzqlFjSed6ckv5r8rHLys8o5tjfHsT00yh9dpF+Lp9NUqTKslsalwgDrT5vh6nYsFSaEEEIIIYToclJSUhxZBDfffLPbxfPCwkJSUlKk9nk3EBER4fhaoVAwfPhw4uPjSU9P58svv3Q7TgghROclgdCLk2CJaBetHQxoifYI1Fxq43m74HAf4gaHkXG00LEtbnAYweE+lzYfN30nwIo17R33B5SfwVpbKiWXhBBCCCGEEE365ptvAEhISODzzz93aew9Z84cxo8fz549e/jmm28kWNKNDBo0iMOHDzNu3DjHttjYWAYOHMjx48c7cGZCCCFE6+oyPUvKysqYPXs2AQEBBAQEMHv2bMrLy5scbzQaefzxxxkyZAg+Pj5ERUVxzz33kJub6zJu0qRJKBQKl//uvFPusG9t9mCAs8sJBrSEPVBzbG8OKRuOcmxvDvlZ5ZTkV7fq8ygGTbdlbzi7SON5O6VSSeyAUEfgSBfpR+yAUJcPH5c0J+e+E80pFSaEEEIIIYQQTcjOzgbg17/+NVarlZSUFNauXUtKSgpWq5Vf/epXLuNE11ZYaLuZ7/jx4wwZMoTVq1fz97//ndWrVxMfH8+JEydcxgkhhBBdXZfJLLnrrrs4e/YsX331FQD33Xcfs2fP5osvvnA7vra2lv3797NkyRKGDRtGWVkZDz/8MLfeeit79+51GfuHP/yB559/3vFYq5Vm1K3NHgyoKtNTnFflCAa0h9bO2miKu2yOlmZqaH00Lv9vVZdZKkwIIYQQQgjRs9kbwyYnJ/PKK69w5swZx74+ffrg6enpMk50bZGRkQAsW7aMt99+m02bNjn2xcXF8eKLL7J48WLHOCGEEKKr6xLBkmPHjvHVV1+xZ88exowZA8Bf//pXxo4dy4kTJxgwYECjYwICAti2bZvLtuTkZK655hqysrKIiYlxbPf29pYam+2kTYMBTWjvQM3lNJ73D9YS2ScQ/+DWD9g1XSoMCOwjJbiEEEIIIYQQF3TdddexbNkyfvrpJ8LCwnjnnXeYNm0amzZt4qmnnnIET6677roOnqloDYmJicTGxrJr1y5++ukndu7c6WgKPH78eGbOnElcXByJiYkdPVXRysxmszSBFkL0SF0iWLJ7924CAgIcgRKw1UgNCAhg165dboMl7lRUVKBQKAgMDHTZ/tFHH/Hhhx8SHh7O1KlTeeaZZ/Dza7qPRn19PfX19Y7HlZWVgK30l9FobMF31nrsz9tRz99c3gFqwnr74R2gbve5arRKrFhQahTs/O4kfWICCYvypzC3kjNZ5Vw9qhcadcf+8Q8K8yYozBtom5+ltf8ttmbu5bYPMSarrcyXqe9NKDv5tSM6h67yu0Z0HnLNiJaSa0a0lPM109HXTWf8nCBEa0pISECpVGKxWKiqquK+++5z7LNXaFAqlSQkJMg130385S9/4c477+S2227j8ccf56abbuLIkSPcdtttbNmyhX/9619YLBYsFktHT1W0ks8++4zHH3+czMxMx7bY2Fj+8pe/cNttt3XcxIQQ4jI0931JlwiW5OfnExYW1mh7WFgY+fn5zTpHXV0dTzzxBHfddRf+/v6O7b/+9a+Ji4sjIiKC9PR0Fi1axMGDBxtlpThbvnw5zz33XKPtW7duxdvbu1nzaSsXmnenkgP82AHPq4Sqc+Vzi8uAgw27vt52pAMm1BG0wECXLV9/+13HTEV0WV3md43oNOSaES0l14xoqW3btlFbW9uhc+jMnxOEaA2HDx92LIqbTCaXffbHFouFlStXMmTIkHafn2h9np6eLFy4kPfee49rr73WsT08PJyFCxfi6enJli1bOnCGojXt3r2bl156iVGjRvHAAw8QExNDVlYW69at484772ThwoWMHTu2o6cphBAt1tzPCQqr1Wq9+LC28eyzz7r9MOEsLS2NrVu38s9//tPRPMzuiiuu4Pe//z1PPPHEBc9hNBq5/fbbycrKIiUlxSVYcr59+/YxatQo9u3bx4gRI9yOcXfHWO/evSkuLr7guduS0Whk27Zt3HDDDajV6g6ZQ1dQUlnPw2/sIq9UT5CXihkDwthwopCyOjORwVpWPTiOEH/Pjp5mu5HrRrSUXDOipeSaES0l14xoKedrRq/Xo9PpqKio6JD35Z3xc4IQrelf//oX99xzD/Pnz+fNN9/EbDY79nl4eDBnzhxWr17N+++/z5133tmBMxWtzWw2s2PHDkdZpgkTJkhZpm7GbDYzaNAgrrrqKv7zn/+wa9cux8973Lhx/PKXv+To0aMcPXpUfvZCiC6nsrKyWZ8TOjSzZN68eRd9AxUbG8uhQ4coKChotK+oqIjw8PALHm80GvnlL39JRkYG33zzzUU/pIwYMQK1Ws3PP//cZLDE09PT0bjOmVqt7vAP9Z1hDu4YTRYqagzoArwc24or6gjw0aD2ULbbPCJC1KyaN4F5yTvJKa7l7f15AETrvFk1bzwRwT3zjr/Oet2IzkuuGdFScs2IlpJrRrSUWq1udKd7e+vMnxOEaA32xu2rV6/mlltuYerUqWi1WvR6PV9++SVvvPGGY5xc892LWq3m+uuv7+hpiDa0c+dOMjMzuf/++7nqqqsaleG677772Lx5M3v27GHSpEkdNk8hhLgUzX1f0qHBEp1Oh06nu+i4sWPHUlFRwQ8//MA111wDwPfff09FRQXjxo1r8jh7oOTnn3/m22+/JSQk5KLPdeTIEYxGI5GRkc3/RsQFGU0Wnnw3jdN5layebwtI5JfWMi95J30j/Xnxd6PbN2AS7M2S2SOYs3KHY9uS2SN6bKDEmdVq5fj+XILCfAjvFUDB2QrKCmsYOCIKhULR0dMTQgghhBBCdKBx48bh4eFBSEgIn332GR4eDUsK9913H7169aKkpOSCn9OFEJ1TXp7tZtLFixczbdo01q5dS3x8POnp6Sxbtownn3zSZZwQQnRH7bdCfRkGDRrEL37xC/7whz+wZ88e9uzZwx/+8AemTZvm0tx94MCBfPbZZ4CtXuqsWbPYu3cvH330EWazmfz8fPLz8zEYDACcOnWK559/nr1795KZmcmWLVu4/fbbGT58OOPHj++Q77U7qqgxcDqvkpxiW4Dk4OkSR2bH6bxKKmoM7Tqf/NJaln6w32Xb0g/2k1/asTWuO4OS/Grys8o5tjeHlA1HObY3h/ysckryqzt6akIIIYQQQogOtmvXLkwmEwUFBSQlJbF7926qqqrYvXs3SUlJFBQUYDKZ2LVrV0dPVQjRQvZewePHj2fDhg0kJCTg6+tLQkICGzZscKyTuespLIQQ3UWXCJYAfPTRRwwZMoQbb7yRG2+8kaFDh/LBBx+4jDlx4gQVFRUAnD17ls8//5yzZ89y9dVXExkZ6fjP/sZNo9Hwv//9j5tuuokBAwbw0EMPceONN/L1119L/cVWpAvwYvX88UTrvMkprmXOyh3kFNcSrfNm9fzxLqW52lpxRZ0jUBOt8+atRyY45jUveSfFFXXtNpfOKDjch7jBrm984gaHERzu00EzEkIIIYQQQnQW9jvKP/zwQw4fPsy4cePw9/dn3LhxpKen8+GHH7qME0J0Hx3Y8lgIIdpNh5bhaong4GDHG6+mOP/ijo2Nvegv8t69e7N9+/ZWmZ+4sM5S+irAR0PfSFvfGntJsNXzxztKggX4aNp1Pp2NUqkkdkAoVWV6ivOq0EX6ETsgtKOnJYQQQgghhOgE7OWq+/Xrx8mTJ0lNTXU0gE5MTOSHH35wGSeE6DoKCwsB2LFjBzNmzGDRokWOMlzLly9n586dLuOEEKI76jLBEtG1NVX6yh6waC9qDyUv/m60S7P5iGBv3no4sd2bzXdm2nNBI20PDx4JIYQQQgghGiQmJhIbG8uyZcvYsGGDS5Nni8XC8uXLiYuLIzExseMmKdqE2WxuFByTihzdhRRRXwAAQNtJREFUiz3IuXz5ct5++22X3kNxcXEsW7aMxYsXSzBUCNGtycqwaHMdXfrKWluCteQU1tpSwBYwOb/0ly7ASwIlTvyDtUT2CcQ/WNvRUxFCCCGEEEJ0EiqVihUrVrBp0yZmzJjh0rNkxowZbNq0iVdeeUUW0buZ9evX079/fyZPnsxdd93F5MmT6d+/P+vXr+/oqYlWZA+G7tq1i59++olvv/2Wjz/+mG+//ZYTJ06we/duCYYKIbo9ySwRba6jSl9ZjXqsxzZCWUbDtqA4FIOmo1BLEOBCwqIDCIsO6OhpCCGEEEIIITqZpKQk1q1bx4IFCxrdeb5u3TqSkpI6cHaita1fv55Zs2Zxyy238Kc//QmtVoter+fLL79k1qxZ8jPvRuzB0FmzZjFz5kwWLVrEtGnTSE9PZ+bMmWzatIl169ZJMFQI0a1JsES0uY4qfWULlGS6bizLxHpsI4qhd2KtLQF9OWiDUHgHt8kchBBCCCGEEKK7SUpKYvr06VKWqZszm80sWLCAkSNHcujQITZt2uTYFxMTw8iRI3nssceYPn26/Oy7CXsw9NFHH3UJhsbGxkpgTAjRI0iwRLQLe+kr5wCFLqDtAhTW2hKMJRlU1Hug05oc24v1KgIsGah//AAqzzaMl4wTAIwmi0tQC2xl1KSfixBCCCGEEMKZSqVy6Vkiup/U1FQyMzPJzMxEq3X9rFxUVERWVpZjnFwL3ceePXs4e/asy7bs7Gz27NkjwRIhRLcnq5+iXViNeiyH/oU17R2s6f/Bmva27bFR3+JzGU2WRn1OiivqMJosDWOqSnlqd28eSIklv9YWE8yv9eCBlFie2t0bY7nrH357xklPZjRZePLdNOasSiW/tBaA/NJa5qxK5cl301xeXyGEEEIIIYQQ3VtOTo7j6ylTprj0qJkyZYrbcaJrW7hwIS+//DJWq9Vlu9Vq5eWXX2bhwoUdNDMhhGgfEiwR7eJCJbFaorkL+hVWX05XepJbo2H+9lgOFWuZvz2W3BoNpys9qag/P6nKCmUZjibwPVFFjYHTeZXkFNcyL3knB0+XMC95JznFtZzOq6SixtDRUxRCCCGEEEII0U4KCgoAGDZsGBs3biQhIQFfX18SEhLYuHEjQ4cOdRknujaDwcCKFSsAmDp1qktwbOrUqQCsWLECg0HWBoQQ3ZcES0Sbs9aWnGuybj1/T4sDFM1d0A+NiCT5VgtRPgZyazQ8kBJHbo2GKB8DyRMzXUpzudCXXdo32Q3oArxYPX880TpvcoprmbNyBznFtUTrvFk9f7xLaS4hhBBCCCGEEN1bSUkJQKMSXHbe3t4u40TXlpycjMViYejQoXz++ecuwbHPP/+cIUOGYLFYSE5O7uipCiFEm5FgiWh7+vKL7G9+gKIlC/qRo29lyXWuAZolk4xEeDcRKAHQBjV7Lt1RRLA3S2aPcNm2ZPYIIoK9O2hGQgghhBBCCCE6glJpWzLas2cPM2bMcMk0mDFjBnv27HEZJ7q2HTt2ALBs2bJGP1OlUskLL7zgMk4IIboj+Ysm2p428CL7WxagaO6CfkGVlRd2u577he9DyVf3BRTnnVUBQXEovNuu6XxXkF9ay9IP9rtsW/rBfkfJMyGEEEIIIYQQPYO9afvAgQM5fPgw48aNw9/fn3HjxpGens7AgQNdxomuzdfXF4CMjAy3+zMzM13GCSFEdyTBEtHmFN4hEBRHawUomrOgX1xR5yjPFa3z5q1HJjiyUeZvDaLYM9b1pEGxKAZNb9E8upsLvWbzkndSXFHX0VMUQgghhBBCCNFOJk2aRFhYGMePH+eqq65i9erV/P3vf2f16tUMHjyY48ePExYWJsGSbmL27NkAPPPMM9TX15OSksLatWtJSUmhvr6e5557zmWcEEJ0R+d3uRaiTSgGTT/X5N3pDoVLCFCcv6C/ZPYIln6w37Gg/9bDiegCvAjw0dA30h+A1fPHExFsK9M1L3knfSP9CRp1PQpDua0EmDaox2eUABd9zQJ8NM0+l9FkoaLG4FIWrbiijgAfDWoPidEKIYQQQgghRGenUqlYs2YNs2bN4ptvvmHz5s2Ofd7e3igUCtasWYNKperAWYrWMmXKFPz9/SktLcXb2xuLxeLYp1QqsVgs+Pv7M2XKlA6cpRBCtC0Jloh2oVBrUQy909bM/TICFM1d0Fd7KHnxd6NdFuwjgr156+HEhgV7j2DoJEGSzhBcaNZr1gxGk4Un303jdF6l42eUX1rr+Bm9+LvREjARQgghhBBCiC4gKSmJdevW8eijj3LmzBnH9rCwMFasWEFSUlIHzk60JpVKxf3338/LL7/sEigBHI/vv/9+CY4JIbo1WbEU7UrhHYwipN8lZ3LYF/TfejiRcC891pJThHvV8dbDiY0W4dUeSpfgA9gaxHe2hXp7cGHOqlRHKbH80lrmrErlyXfTMJosFzlD62mN16yixsDpvEpHts/B0yWObKDTeZVU1Bhae9pCCCGEEEIIIdqR1Wrt6CmIVmY2m/nnP/8JgEbjWlnC09MTgH/+85+YzeZ2n5sQQrSXzrVqLEQzeFjrCT6zAWvaO1jT/4M17W2Cz2zAw1rf0VO7JN0tuKAL8GL1/PGOfidzVu5wlE1bPX98o2CMEEIIIYQQQojOaf369cyaNYuhQ4eye/duqqqq2L17N0OHDmXWrFmsX7++o6coWklKSgqFhYVMmDCBiooKVq5cybx581i5ciXl5eWMHz+ewsJCUlJSOnqqQgjRZiRYIrocW++TTNeNZZm27W4YTZZGzcmLK+raNWPjQrpjcCEi2NZPxtmS2SOICPbuoBkJIYQQQgghhGgJs9nMggULmDZtGhs2bCAhIQFfX18SEhLYsGED/7+9O4+Lqur/AP4Z9mWQRVkVGYhcQUywxB1T0URANMWSJDOzUsPwKS0Vd6tH3B+3fi5p5hqSIbkluKL5oJSgghmIC4gpiwrKMuf3Bw83RxZB0QHm83695qVzz7l3vveeM5eZ+51zro+PDyZNmsSRBg1EWRKkd+/eaN26NSZOnIjly5dj4sSJaN26NXr37q1Sj4ioIWKyhOoVkX/7fzeJf3zIrwCyU0vvifKIujTFVVUaWnIh804+Zm86o7Js9qYzUhsQERERERFR3Xb06FGkpaXhiy++gJaW6uUjLS0tTJkyBampqTh69KiaIqTnYcaMGXB1dVUZSeTq6oqZM2eqOzQioueOyRKqXwpynlCerfK0vkxx1ZCSC3/nPpCOcdMmRlg1sas0ambcsuPlRvkQERERERFR3ZORkQEAcHFxqbC8bHlZParfunXrBgCwsLBARESEykiiiIgIWFhYqNQjImqImCyh+sXQ7Anl5ipP68MUVw0tuWBqrAcn20bSMXZzaiy1gZNtI5ga6z15I0RERERERKRWtra2AIDExMQKy8uWl9Wj+k1bWxsAcOfOHQwaNEhlZMmgQYNw584dlXpERA2RjroDIKoJmVFjCHPH/92z5NGpuGSAuQIyI4ty65RNcTV20TFpWV2a4qosuQAAy8d3gY1FaZJh3LLj9TK5oKujhbmjOiL3fqGUjLKxMMKqkG4wNdaDrg5ztERERERERHVdt27doFAoMG/ePERGRqpMxaVUKjF//nw4OjpypEEDkZWVJf3/119/RVRUlPTcyMiownpERA0Nr1pSvSNr7QeYK1QXmitKl1egrk9xVZZcWBXSTUrglCUX5o7qWC+TC7o6WuVG7TQxNaiX+0JERERERKSJtLW1ER4ejqioKPj7+6uMNPD390dUVBQWLFjAkQYNRNkIofnz58PKykqlzMrKCvPmzVOpR0TUEHFkCdU7Ml1DyNoFlt7MvSAbMDSvcEQJUH6Kq2lBHTB70xlpiqtVId3qxFRclSUXiIiIiIiIiNQlICAAO3fuRGhoKDp37iwtd3R0xM6dOxEQEKDG6Kg2lY0kOnHiBC5duoTjx48jIyMDtra26NKlCwYPHsyRRETU4PFn3lRvyYwsIGv8UqWJEoD3zyAiIiIiIiJ6FgEBAUhOTsaiRYswbtw4LFq0CBcvXmSipIF5dCTR4MGDoa+vDx8fH+jr62Pw4MEcSUREGoEjS6hB4/0zno7Ivw0U5FQ5aoeIiIiIiIgavoiICISGhiItLU1atmTJEoSHhzNh0sBwJBERaTomS6jB4xRX1SeKCiAu/ARkp/6zzNwRstZ+kOkaqjEyIiIiIiIietEiIiIwZMgQ+Pj4YMuWLXBxcUFiYiLmzZuHIUOG8AJ6AxQQEAA/Pz8cPXpUmoarW7duHFFCRBqByRIikpQmStJUF2anQVz4CbJ2gWqJiYiIiIiIiF68kpIShIaGwsfHB5GRkdDSKp2ZoVOnToiMjIS/vz8mTZoEPz8/XkhvYLS1tdGzZ091h0FE9MJxDiIiAvC/qbeyUwGIx0uA7FSI/DvqCIuIiIiIiIjU4OjRo0hLS8MXX3whJUrKaGlpYcqUKUhNTcXRo0fVFCEREVHtYrKEiEoV5DyhPPuFhEFERERERETql5GRAQBwcXGpsLxseVk9IiKi+o7JEiIqZWj2hHLzFxIGERERERERqZ+trS0AIDExscLysuVl9YiIiOo7JkuICAAgM2oMmDsCkD1eApg7QmZkoY6wiIiIiIiISA26desGhUKBefPmQalUqpQplUrMnz8fjo6O6Natm5oiJCIiql1MlhCRRNbaDzBXqC40V5QuJyIiIiIiIo2hra2N8PBwREVFwd/fH3Fxcbh79y7i4uLg7++PqKgoLFiwgDd3JyKiBkNH3QEQUd0h0zWErF1g6c3cC7IBQ3OOKCEiIiIiItJQAQEB2LlzJ0JDQ9G5c2dpuaOjI3bu3ImAgAA1RkdERFS7mCwhqkNE/u3SG62rOUkhM7IAmCQhIiIiIiIiAEIIleePT8tFRETUEDBZQlQHiKICiAs/Admp/ywzd4SstR9kuoZqjIyIiIiIiIg0VUREBIYMGYIBAwbgs88+g6GhIQoKCvDLL79gyJAhHF1CREQNCpMlpDHqyqiNipQmStJUF2anQVz4CbJ2gWqJiYiIiIiIiDRXSUkJQkND4e7ujsTERERFRUllCoUC7u7umDRpEvz8/HjfEiIiahB4g3dq8ERRAZR/bIU4vQYicTvE6dWlz4sK1B0agP8lcbJTAYjHS4Ds1NL7hxARERERERG9QEePHkVaWhri4+Ph6uqqcoN3V1dXxMfHIzU1FUePHlV3qERERLWCyRJq8KoatVEnFOQ8oTz7hYRBREREREREVOb69esAgH79+iEyMhKdOnWCXC5Hp06dEBkZiX79+qnUIyIiqu+YLKEGrV6M2jA0e0K5+QsJg4iIiIiIiKjMrVu3AAABAQEQQiA2NhZbtmxBbGwshBDw9/dXqUdERFTf1ZtkSXZ2NoKCgmBqagpTU1MEBQUhJyenynWCg4Mhk8lUHp06dVKp8/DhQ4wfPx5NmjSBsbExfH19ce3atee4J/RC1YNRGzKjxoC5IwDZ4yWAuWOdu79KTYj82xC3L9eNpBQRERERERFVm6WlJQBgxYoVcHZ2hpeXF9566y14eXnB2dkZq1atUqlHRERU39WbZMlbb72FhIQE7N27F3v37kVCQgKCgoKeuF6/fv2QkZEhPaKjo1XKQ0JCsGvXLmzduhXHjh3DvXv34OPjg5KSkue1K/Qi1ZNRG7LWfoC5QnWhuaJ0eT1U1+8TQ0RERERERFVr2rQpAODs2bMoKCjAmjVrcOPGDaxZswYFBQU4e/asSj0iIqL6TkfdAVTHhQsXsHfvXpw8eRKvvfYaAODbb7+Fp6cnkpOT0bJly0rX1dfXh42NTYVlubm5WLt2LTZt2oTevXsDAL7//nvY29vj4MGD8Pb2rv2doRdKZtQYwtzxf/cseXQqLllpMqKOjNqQ6RpC1i6wdARGQTZgaF5nYnsaVd0nRtYuUC0xERERERERUfV17twZOjo6MDY2hr6+PsaMGSOVOTg4wNTUFPfv30fnzp3VGCUREVHtqRfJkri4OJiamkqJEgDo1KkTTE1NceLEiSqTJbGxsbCysoKZmRl69OiBuXPnwsrKCgAQHx+PoqIi9O3bV6pvZ2cHFxcXnDhxotJkycOHD/Hw4UPpeV5eHgCgqKgIRUVFz7SvT6vsddX1+nWZcB4AkbIHyLnyz0IzB8icB0BW146XrknpAwBeQGzPo9+IgjsQd66gdFqxx6YWu3MFsrwsyOrIiB6qOZ5rqKbYZ6im2Geoph7tM+ruN3XxewIR0dM6cuQIiouLkZubi65duyI0NBQGBgZ48OAB9u/fjz179kj1evTooeZoiYiIKlfdz+L1IlmSmZkpJTgeZWVlhczMzErX69+/P9588004ODggNTUV06ZNQ69evRAfHw99fX1kZmZCT08P5uaqF26tra2r3O78+fMxc+bMcsv3798PIyOjGuxZ7Ttw4IBaX7/uMgTQ6p+nuQCuHFJXMHVO7febVpUXxcTV8muROvBcQzXFPkM1xT5DNXXgwAHk5+erNYa6/D2BiKimjhw5AgCYOHEiNm/eLCVHgNLrJiEhIVi8eDF++eUX3L9/X11hEhERPVF1vyeoNVkyY8aMCr9MPOr06dMAAJns8ZtfA0KICpeXGTZsmPR/FxcXeHh4wMHBAXv27EFAQECl6z1pu1OmTMGnn34qPc/Ly4O9vT369u2LRo0aVbk/z0tRUREOHDiAPn36QFdXVy0xUP3zPPqNKLgDcWZDpeWyDu9yZEk9xnMN1RT7DNUU+wzV1KN9pqBAvfdHq4vfE4iInpaxsTEWLlyIgIAAzJs3D8eOHUNGRgZsbW3RtWtXnD59GosXL0b//v05soSIiOq0shHfT6LWZMm4ceMQGFj1/QsUCgX++OMP3Lx5s1zZrVu3YG1tXe3Xs7W1hYODAy5dugQAsLGxQWFhIbKzs1VGl2RlZVU556a+vj709fXLLdfV1VX7l/q6EAPVP7Xab3StobRwqPQ+MVqNyo8So/qH5xqqKfYZqin2GaopXV1dFBcXqzWGuvw9gYiopry8vKBQKPDNN98gMjJSutcrACiVSvz73/+Go6MjvLy8oK2trcZIiYiIqlbdz+JazzmOKjVp0gStWrWq8mFgYABPT0/k5ubit99+k9Y9deoUcnNza3Qjsdu3b+Pq1auwtbUFALi7u0NXV1dlmoeMjAwkJibyBmVEz0DW2g8wV6guNFeULiciIiIiIqI6T1tbG+Hh4YiKioK/vz/i4uJw9+5dxMXFwd/fH1FRUViwYAETJURE1GDUi3uWtG7dGv369cP777+P1atXAwDGjBkDHx8flZu7t2rVCvPnz8egQYNw7949zJgxA4MHD4atrS3S0tLwxRdfoEmTJhg0aBAAwNTUFO+99x5CQ0PRuHFjWFhYYNKkSXB1dVX5xQQR1YxM1xCydoEQ+XeAgmzA0BwyIwt1h0VEREREREQ1EBAQgJ07dyI0NFTlR6WOjo7YuXNnlVOcExER1Tf1IlkCAJs3b8aECRPQt29fAICvry+WL1+uUic5ORm5ubkASn8Bce7cOWzcuBE5OTmwtbWFl5cXtm3bBhMTE2mdRYsWQUdHB0OHDkVBQQFef/11bNiwgb+MIKoFMiMLgEkSIiIiIiKieisgIAB+fn44evSodM+Sbt268boJERE1OPUmWWJhYYHvv/++yjpC/HN/BENDQ+zbt++J2zUwMMCyZcuwbNmyZ46RiIiIiIiIiKih0dbWRs+ePdUdBhER0XOl1nuWEBERERERERERERERqRuTJUREREREREREREREpNGYLCEiIiIiIiIiIiIiIo3GZAkREREREREREREREWk0JkuIiIiIiIiIiIiIiEijMVlCREREREREREREREQajckSIiIiIiIiIiIiIiLSaEyWEBERERERERERERGRRmOyhIiIiIiIiIiIiIiINBqTJUREREREREREREREpNGYLCEiIiIiIiIiIiIiIo3GZAkREREREREREREREWk0HXUH0BAIIQAAeXl5aouhqKgI+fn5yMvLg66urtrioPqF/YZqin2Gaop9hmqKfYZq6tE+U1BQAOCfz+fqVhe+JxARERERabqyz+NP+p7AZEktuHv3LgDA3t5ezZEQEREREdHdu3dhamqq7jD4PYGIiIiIqA550vcEmagrP7uqx5RKJW7cuAETExPIZDK1xJCXlwd7e3tcvXoVjRo1UksMVP+w31BNsc9QTbHPUE2xz1BNPdpnTExMcPfuXdjZ2UFLS/0zDteF7wnqwPex5mBbaxa2t2Zhe2sOtrVm0dT2FkJU63sCR5bUAi0tLTRr1kzdYQAAGjVqpFEdnWoH+w3VFPsM1RT7DNUU+wzVVFmfqQsjSsrUpe8J6sD3seZgW2sWtrdmYXtrDra1ZtHE9q7O9wT1/9yKiIiIiIiIiIiIiIhIjZgsISIiIiIiIiIiIiIijcZkSQOhr6+PsLAw6OvrqzsUqkfYb6im2GeopthnqKbYZ6im2GfqHraJ5mBbaxa2t2Zhe2sOtrVmYXtXjTd4JyIiIiIiIiIiIiIijcaRJUREREREREREREREpNGYLCEiIiIiIiIiIiIiIo3GZAkREREREREREREREWk0JkuIiIiIiIiIiKjW9OzZEyEhIeoOQyPU9FhfvHgRnTp1goGBAdq3b//c4qKGi+9vasiYLGkgVqxYAUdHRxgYGMDd3R1Hjx5Vd0ikBjNmzIBMJlN52NjYSOVCCMyYMQN2dnYwNDREz549kZSUpLKNhw8fYvz48WjSpAmMjY3h6+uLa9euvehdoefoyJEjGDhwIOzs7CCTyRAZGalSXlv9JDs7G0FBQTA1NYWpqSmCgoKQk5PznPeOnocn9Zng4OBy555OnTqp1GGf0Rzz589Hx44dYWJiAisrK/j7+yM5OVmlDs8z9Ljq9Buea57diRMnoK2tjX79+pUrS09Px8CBA2FsbIwmTZpgwoQJKCwsrNZ2Y2Njy7WNTCbD1KlTpTpCCKxZswavvfYa5HI5zMzM4OHhgcWLFyM/Px9AxZ9lZTIZDh48CAD466+/MHz4cNjZ2cHAwADNmjWDn58fUlJSauHoNCwvuq1lMhkyMzNV6l67dg16enpo1apVhduKiYmBl5cXLCwsYGRkhJdffhkjR45EcXExNm3aBGNjY/z5558q69y4cQPm5uZYsmRJNY8E1TU9e/ZUeV5UVITPP/8crq6uMDY2hp2dHd555x3cuHFDPQHWQxEREZg9e3a164eFhcHY2BjJycn49ddfayWGx9sVqN7fdmpYevbsiVWrVuH333/H8OHDYW9vD0NDQ7Ru3Zrn7afEZOiLx2RJA7Bt2zaEhITgyy+/xNmzZ9GtWzf0798f6enp6g6N1KBt27bIyMiQHufOnZPKvvnmGyxcuBDLly/H6dOnYWNjgz59+uDu3btSnZCQEOzatQtbt27FsWPHcO/ePfj4+KCkpEQdu0PPwf379+Hm5obly5dXWF5b/eStt95CQkIC9u7di7179yIhIQFBQUHPff+o9j2pzwBAv379VM490dHRKuXsM5rj8OHD+Pjjj3Hy5EkcOHAAxcXF6Nu3L+7fvy/V4XmGHledfgPwXPOs1q1bh/Hjx+PYsWMq3xVKSkowYMAA3L9/H8eOHcPWrVvx448/IjQ0tEbbT05OVmmfyZMnS2VBQUEICQmBn58fYmJikJCQgGnTpuGnn37C/v37pXqPf5bNyMhA9+7dUVhYiD59+iAvLw8RERFITk7Gtm3b4OLigtzc3Gc/OA3Mi27rjIwMWFlZqdTZsGEDhg4divz8fBw/flylLCkpCf3790fHjh1x5MgRnDt3DsuWLYOuri6USiWCgoLg7e2NkSNHQqlUSuuNGTMGr7zyCiZMmPAUR4XUJSoqCmfOnFFZtnXrVqSkpCA/Px9nzpzBtGnTcObMGURERCAlJQW+vr5qirb+sbCwgImJSbXrX758GV27doWDgwMaN25cYZ2ioqInbuf48eNSMrvMwYMHpfd7df+2U8Nw584dnDhxAgMHDkR8fDwsLS3x/fffIykpCV9++SWmTJlS5fdJqlhdSIYGBwdj8uTJSEtLw3vvvQdHR0cYGhripZdeQlhYWLV/cFFvCKr3Xn31VTF27FiVZa1atRKTJ09WU0SkLmFhYcLNza3CMqVSKWxsbMRXX30lLXvw4IEwNTUVq1atEkIIkZOTI3R1dcXWrVulOtevXxdaWlpi7969zzV2Ug8AYteuXdLz2uon58+fFwDEyZMnpTpxcXECgLh48eJz3it6nh7vM0IIMXLkSOHn51fpOuwzmi0rK0sAEIcPHxZC8DxD1fN4vxGC55pnde/ePWFiYiIuXrwohg0bJmbOnCmVRUdHCy0tLXH9+nVp2ZYtW4S+vr7Izc194rZjYmIEAJGdnV1h+bZt2wQAERkZWa5MqVSKnJwcIUTVn2XPnj0rAIi0tLQnxqPp1NnWZZRKpXBychJ79+4Vn3/+uXj33XdVyhctWiQUCkWV28jKyhJWVlbi3//+txBCiPXr14tGjRqxD1Rgx44dwsXFRRgYGAgLCwvx+uuvi3v37knnzRkzZghLS0thYmIixowZIx4+fCitq1Qqxddffy0cHR2FgYGBaNeundixY4fK9pOSkkT//v2FsbGxsLKyEiNGjBC3bt2Syu/duyeCgoKEsbGxsLGxEQsWLBA9evQQn3zyibR+3759xfTp04Wbm5t48803xdixY8WdO3cq3J/ffvtNABBXrlyp/YPVAD16rB0cHMTcuXPFu+++K+RyubC3txerV6+W6gJQeYSFhYnU1FQBQGzbtk306NFD6Ovri3Xr1om///5bBAYGiqZNmwpDQ0Ph4uIifvjhB2lb6enpYsiQIeLDDz8UHTp0EB9++KEYNmyYuHbtWoVxVvS3nZ6srr+/y2zcuFF4eHhUuh8fffSR8PLyqp2DQpVyd3cX06dPr7JOYWFhtbdXUlIimjRpIk6cOCF++eUXERwcLPbt2ycuX74sfvrpJ2FlZSVCQ0OfNew6hSNL6rnCwkLEx8ejb9++Ksv79u2LEydOqCkqUqdLly7Bzs4Ojo6OCAwMxF9//QUASE1NRWZmpkpf0dfXR48ePaS+Eh8fj6KiIpU6dnZ2cHFxYX/SELXVT+Li4mBqaorXXntNqtOpUyeYmpqyLzVQsbGxsLKyQosWLfD+++8jKytLKmOf0Wxlv/i2sLAAwPMMVc/j/aYMzzVPb9u2bWjZsiVatmyJESNGYP369RBCACg9Li4uLrCzs5Pqe3t74+HDh4iPj3/m1968eTNatmwJPz+/cmUymQympqZP3IalpSW0tLSwc+dOjnh+AnW2dZmYmBjk5+ejd+/eCAoKwvbt21VGD9rY2CAjIwNHjhypdBuWlpZYvXo1pk2bhgMHDmDixIlYsmQJHBwcai3OhiAjIwPDhw/HqFGjcOHCBcTGxiIgIEBq819//RUXLlxATEwMtmzZgl27dmHmzJnS+lOnTsX69euxcuVKJCUlYeLEiRgxYgQOHz4sbb9Hjx5o3749/vvf/2Lv3r24efMmhg4dKm3jX//6F2JiYrBr1y7s378fsbGxKv2pTZs22LdvHy5duoTff/8dffr0wcqVK2Fubl7hPuXm5kImk8HMzOw5HLGGLzw8HB4eHjh79iw++ugjfPjhh7h48SKA0vZs27YtQkNDkZGRgUmTJknrff7555gwYQIuXLgAb29vPHjwAO7u7oiKikJiYiLGjBmDoKAgnDp1CgBgb2+PHTt2wNTUFGfOnIGZmRm2bt2Kpk2bVhhXZX/bqXL14f1dZvfu3RX+nS+Tm5vLtn8Kj07DpVAoMG/ePIwaNQomJiZo3rw51qxZI9WVyWSIj4/HrFmzIJPJMGPGDKSlpUEmk2H79u3o2bMnDAwM8P333+P27dsYPnw4mjVrBiMjI7i6umLLli3lXv/48ePQ0tLCa6+9hn79+mH9+vXo27cvnJyc4Ovri0mTJiEiIuJFHY4XgsmSeu7vv/9GSUkJrK2tVZZbW1uXmzOWGr7XXnsNGzduxL59+/Dtt98iMzMTnTt3xu3bt6X+UFVfyczMhJ6eXrkPrexPmqO2+klmZma5qRgAwMrKin2pAerfvz82b96MQ4cOITw8HKdPn0avXr3w8OFDAOwzmkwIgU8//RRdu3aFi4sLAJ5n6Mkq6jcAzzXPau3atRgxYgSA0unM7t27J03PkJmZWe49aW5uDj09vRodl2bNmkEul0uP27dvAyj9MU/Lli2rtY1z586pbOPVV18FADRt2hRLly7F9OnTYW5ujl69emH27NnSD4PoH+po68fbd+3atQgMDIS2tjbatm0LZ2dnbNu2TSp/8803MXz4cPTo0QO2trYYNGgQli9fjry8PJXt+Pv7Y+jQoejXrx+6d++O4ODgmhwKjZCRkYHi4mIEBARAoVDA1dUVH330EeRyOQBAT08P69atQ9u2bTFgwADMmjULS5cuhVKpxP3797Fw4UKsW7cO3t7ecHJyQnBwMEaMGIHVq1cDAFauXIkOHTpg3rx5aNWqFV555RWsW7cOMTExSElJwb1797B27VosWLAAffr0gaurK7777juVpGZycjL69+8PZ2dnuLm54cCBA/joo4+QnZ1dbn8ePHiAyZMn46233kKjRo1ezEFsYN544w189NFHcHZ2xueff44mTZogNjYWQGmiUkdHB3K5HDY2NlI/AUqnsgwICICjoyPs7OzQtGlTTJo0Ce3bt4eTkxPGjx8Pb29v7NixAwBw/fp1BAYGIicnBx06dEB2djYCAwNx/fr1cjFV9redqlYf3t9A6T3j9u3bV2myJC4uDtu3b8cHH3zwfA+YBnhRydAyu3fvxsCBA6GlVXEKoSEmwXTUHQDVDplMpvJcCFFuGTV8/fv3l/7v6uoKT09PvPTSS/juu++kG6A+TV9hf9I8tdFPKqrPvtQwDRs2TPq/i4sLPDw84ODggD179iAgIKDS9dhnGr5x48bhjz/+wLFjx8qV8TxDlams3/Bc8/SSk5Px22+/Sb/809HRwbBhw7Bu3Tr07t0bQO0cl6NHj6rMm1+WuKrJdlq2bIndu3dLz/X19aX/f/zxx3jnnXcQExODU6dOYceOHZg3bx52796NPn36VDvOhkxdba2j88+lhZycHERERKi8h0eMGIF169Zh9OjRAABtbW2sX78ec+bMwaFDh3Dy5EnMnTsXX3/9NX777TfY2tpK606bNg0bN27EtGnTqh2fJnFzc8Prr78OV1dXeHt7o2/fvhgyZIj0/nNzc4ORkZFU39PTE/fu3cPVq1eRlZWFBw8elHv/FBYW4pVXXgFQOmovJiZG5aJ6mcuXL6OgoACFhYXw9PSUlltYWKgk0FJSUjB37lx06NABR44cwfbt27FlyxbcunVLJcFdVFSEwMBAKJVKrFixonYOkAZq166d9H+ZTAYbGxuVkZiV8fDwUHleUlKCr776Ctu2bcP169fx8OFDPHz4EMbGxgCAtLQ0jB49Gr1790bPnj2xcuVKHDx4EGlpaeVGl1T1mZAqVx/e3wBw6NAhNG7cGK6uruW2k5SUBD8/P0yfPp1/q2tBWTIUKE2ALFq0CLGxsWjVqlW5ZChQ+iN74J9k6KMeTaaMHz8ee/fuxY4dO1RGYO/evRsLFiyoMJbLly9j2bJlCA8Pr9V9VDcmS+q5Jk2aQFtbu9yvgLKyssr9Yog0j7GxMVxdXXHp0iX4+/sDKP012aNfPh7tKzY2NigsLER2drbKh9asrCx07tz5hcZO6lH2B/VZ+4mNjQ1u3rxZbvu3bt3iuUkD2NrawsHBAZcuXQLAPqOpxo8fj927d+PIkSNo1qyZtJznGapKZf2mIjzXVN/atWtRXFyscvFKCAFdXV1kZ2fDxsam3C8Js7OzUVRUVKPj4ujoWOG0OS1atMCFCxeqtQ09PT04OztXWm5iYgJfX1/4+vpizpw58Pb2xpw5c3gB5n/U3dYA8MMPP+DBgwcqF1uEEFAqlTh//jzatGkjLW/atCmCgoIQFBSEOXPmoEWLFli1apXKNDJliZhHEzL0D21tbRw4cAAnTpzA/v37sWzZMnz55Zfl2vlxMpkMSqUSALBnz55yF7fLEpVKpRIDBw7E119/XW4btra20jm4KgMHDiy3bPjw4SrPi4qKMHToUKSmpuLQoUMcVfIMdHV1VZ4/2tZVKUuClAkPD8eiRYuwePFiuLq6wtjYGCEhIdLNnLt06VJuG2VJ2UfV5G87qaoP72+g8im4zp8/j169euH999/H1KlTq7UtqtqLSoYCwIULF3Dt2rUK39c3btxAv3798Oabb0o/hGgoOA1XPaenpwd3d3ccOHBAZfmBAwd4cZvw8OFDXLhwAba2tnB0dISNjY1KXyksLMThw4elvuLu7g5dXV2VOhkZGUhMTGR/0hC11U88PT2Rm5uL3377Tapz6tQp5Obmsi9pgNu3b+Pq1avShXD2Gc0ihMC4ceMQERGBQ4cOwdHRUaWc5xmqyJP6TUV4rqme4uJibNy4EeHh4UhISJAev//+OxwcHLB582Z4enoiMTERGRkZ0nr79++Hvr4+3N3dnzmGt956CykpKfjpp5/KlQkhpHnsa0omk6FVq1a4f//+s4bYINSFtgZKEzahoaHlYvDy8sK6desqXc/c3By2trZsz6cgk8nQpUsXzJw5E2fPnoWenh527doFAPj9999RUFAg1T158iTkcjmaNWuGNm3aQF9fH+np6XB2dlZ52NvbAwA6dOiApKQkKBSKcnWMjY3h7OwMXV1dnDx5UnqN7OxspKSkVBhr2XRQjypLlFy6dAkHDx5E48aNa/Ho0NM6evQo/Pz8MGLECLi5ucHJyanSi+cVtevT/G2n8ur6+1sIgZ9//hm+vr4qcSclJcHLywsjR47E3Llzn+ch0ii1nQz97LPPcOjQISQkJMDb21tKhgKQRu4aGhqqrHvjxg14eXnB09NT5Z4pDcYLuIk8PWdbt24Vurq6Yu3ateL8+fMiJCREGBsbi7S0NHWHRi9YaGioiI2NFX/99Zc4efKk8PHxESYmJlJf+Oqrr4SpqamIiIgQ586dE8OHDxe2trYiLy9P2sbYsWNFs2bNxMGDB8WZM2dEr169hJubmyguLlbXblEtu3v3rjh79qw4e/asACAWLlwozp49K65cuSKEqL1+0q9fP9GuXTsRFxcn4uLihKurq/Dx8Xnh+0vPrqo+c/fuXREaGipOnDghUlNTRUxMjPD09BRNmzZln9FQH374oTA1NRWxsbEiIyNDeuTn50t1eJ6hxz2p3/Bc8/R27dol9PT0RE5OTrmyL774QrRv314UFxcLFxcX8frrr4szZ86IgwcPimbNmolx48ZV6zViYmIEAJGdnV1huVKpFMOGDROGhoZi3rx54vTp0yItLU38/PPPolevXmLXrl1CCCHCwsKEm5tbhds4e/as8PX1FTt27BBJSUni0qVL4v/+7/+EsbGxmDVrVrXibOheZFsnJyervFczMjJEYWGh9FnhwoUL5dZds2aNsLS0FIWFhWLVqlVi7NixYt++feLPP/8UiYmJ4rPPPhNaWloiNjZWZb3U1FQBQJw9e/apjktDd/LkSTF37lxx+vRpceXKFbF9+3ahp6cnoqOjxciRI4VcLhfDhw8XSUlJIjo6WlhbW4vJkydL63/55ZeicePGYsOGDeLPP/8UZ86cEcuXLxcbNmwQQghx/fp1YWlpKYYMGSJOnTolLl++LPbt2yfeffdd6dw6duxY0bx5c3Hw4EFx7tw54evrK+Ryufjkk0+eGH9RUZHw9fUVzZo1EwkJCSp96uHDh8/lmDU0PXr0kI61g4ODWLRokUq5m5ubCAsLq/R5Ze+xkJAQYW9vL44fPy7Onz8vRo8eLRo1aiT8/PyqFVd1PhNS1erD+/v06dPCzMxMFBUVSa+bmJgoLC0txdtvv63S9llZWS/u4DUQz+v97ePjI0aNGiU9LykpES1atFB5f3t6eoq1a9eqrHft2jXx8ssvi8DAwAZ7nZDJkgbiP//5j3BwcBB6enqiQ4cO4vDhw+oOidRg2LBhwtbWVujq6go7OzsREBAgkpKSpHKlUinCwsKEjY2N0NfXF927dxfnzp1T2UZBQYEYN26csLCwEIaGhsLHx0ekp6e/6F2h56jsS+7jj5EjRwohaq+f3L59W7z99tvCxMREmJiYiLfffrvSiyhUt1XVZ/Lz80Xfvn2FpaWl0NXVFc2bNxcjR44s1x/YZzRHRX0FgFi/fr1Uh+cZetyT+g3PNU/Px8dHvPHGGxWWxcfHCwAiPj5eXLlyRQwYMEAYGhoKCwsLMW7cOPHgwYNqvcaTkiVClH4JX7lypejYsaMwMjISjRo1Eu7u7mLJkiXShbOqkiW3bt0SEyZMEC4uLkIulwsTExPh6uoqFixYIEpKSqoVZ0P3Itu6okdcXJwYN26caNOmTYXrZmVlCW1tbfHjjz+KM2fOiBEjRghHR0ehr68vGjduLLp37y52795dbj0mS6p2/vx54e3tLSwtLYW+vr5o0aKFWLZsmRBCiJEjRwo/Pz8xffp00bhxYyGXy8Xo0aNV2lupVIolS5aIli1bCl1dXWFpaSm8vb1VrimkpKSIQYMGCTMzM2FoaChatWolQkJChFKpFEKUJrRHjBghjIyMhLW1tfjmm29ULvBVpax9K3rExMTU6rFqqJ7XxdTbt28LPz8/IZfLhZWVlZg6dap45513qp0sqc5nQqpafXh/T506Vbz99tsqcYeFhVXY9g4ODs/3gDVA6kqG3rx5U+jo6IibN29K61y/fl04OzuLXr16iWvXrqkkwhoSmRBC1NIgFSIiIiIiIiIiqgOCg4ORk5ODyMhIdYdCRLWsrry/27Vrh6lTp2Lo0KFqjaOh6tmzJ9q3b4/FixdDoVAgJCQEISEhUnn79u3h7++PGTNmVPg8LS0Njo6OOHv2LNq3by+td+fOHYwaNQq//vorjIyMMGbMGKSnpyM3NxeRkZFYu3Yt1q9fj2PHjknrbNiwAe+++26FcTak9ALvkEZERERERERERERE1VZYWIjBgwejf//+6g6lwXr0fkBpaWnlyhMSEqp8rlAoKkxkWFhYVJlo++mnn8rdhyY4OBjBwcFPiLj+4w3eiYiIiIiIqFL9+/eHXC6v8DFv3jx1h0e1iG1NRETVpaenh7CwMJiYmKg7FKplXbt2xfDhw9UdhlpwGi4iIiIiIiKq1PXr11FQUFBhmYWFBSwsLF5wRPS8sK2JiIhIkzFZQkREREREREREREREGo3TcBERERERERERERERkUZjsoSIiIiIiIiIiIiIiDQakyVERERERERERERERKTRmCwhIiIiIiIiIiIiIiKNxmQJEVE9pFAosHjx4mrXnzFjBtq3b//c4qmp2NhYyGQy5OTk1Pq2a3psntWTju3z3Fd1vhYRERERERERUUPCZAkRUR1z69Yt6OrqIj8/H8XFxTA2NkZ6erpKndOnT2PMmDFqirBue/zYyGQyREZGqtSpa8mjp9GzZ0+EhISoOwwiIiIiIiIiogZBR90BEBGRqri4OLRv3x5GRkY4deoULCws0Lx5c5U6lpaWaoqu7uOxqf+EECgpKYGODj+mEBEREREREdGLwZElRER1zIkTJ9ClSxcAwLFjx6T/P+rxqabS09Ph5+cHuVyORo0aYejQobh582a59VavXg17e3sYGRnhzTffVJmuKTY2Fq+++iqMjY1hZmaGLl264MqVKxXGWFhYiHHjxsHW1hYGBgZQKBSYP38+ACAtLQ0ymQwJCQlS/ZycHMhkMsTGxqps5/jx43Bzc4OBgQFee+01nDt3TirbsGEDzMzMEBUVhZYtW8LIyAhDhgzB/fv38d1330GhUMDc3Bzjx49HSUlJhcdGoVAAAAYNGgSZTAaFQoENGzZg5syZ+P333yGTySCTybBhwwYAQG5uLsaMGQMrKys0atQIvXr1wu+//64S81dffQVra2uYmJjgvffew4MHDyo8Ro+rbF/v37+PRo0aYefOnSr1f/75ZxgbG+Pu3bvlthUcHIzDhw9jyZIl0j6kpaVJ5fHx8fDw8ICRkRE6d+6M5OTkctt2d3eHgYEBnJycMHPmTBQXF1cae0WjWPz9/REcHCw9X7FiBV5++WUYGBjA2toaQ4YMkcqEEPjmm2/g5OQEQ0NDuLm5qexv2fRh+/btg4eHB/T19XH06NFK4yEiIiIiIiIiqm38ySYRUR2Qnp6Odu3aAQDy8/Ohra2NDRs2oKCgADKZDGZmZnjrrbewYsWKcusKIeDv7w9jY2McPnwYxcXF+OijjzBs2DCV5MSff/6J7du34+eff0ZeXh7ee+89fPzxx9i8eTOKi4vh7++P999/H1u2bEFhYSF+++03yGSyCuNdunQpdu/eje3bt6N58+a4evUqrl69WuP9/te//oUlS5bAxsYGX3zxBXx9fZGSkgJdXV3pWCxduhRbt27F3bt3ERAQgICAAJiZmSE6Ohp//fUXBg8ejK5du2LYsGHltn/69GlYWVlh/fr16NevH7S1tSGXy5GYmIi9e/fi4MGDAABTU1MIITBgwABYWFggOjoapqamWL16NV5//XWkpKTAwsIC27dvR1hYGP7zn/+gW7du2LRpE5YuXQonJ6en3ldjY2MEBgZi/fr1KgmGsucmJibltrVkyRKkpKTAxcUFs2bNAlA6oqYsYfLll18iPDwclpaWGDt2LEaNGoXjx48DAPbt24cRI0Zg6dKl6NatGy5fvixNWxYWFlaD1vvHf//7X0yYMAGbNm1C586dcefOHZVkx9SpUxEREYGVK1fi5ZdfxpEjRzBixAhYWlqiR48eUr3PPvsMCxYsgJOTE8zMzJ4qFiIiIiIiIiKip8FkCRFRHWBnZ4eEhATk5eXBw8MDJ0+ehFwuR/v27bFnzx40b94ccrm8wnUPHjyIP/74A6mpqbC3twcAbNq0CW3btsXp06fRsWNHAMCDBw/w3XffoVmzZgCAZcuWYcCAAQgPD4eenh5yc3Ph4+ODl156CQDQunXrSuNNT0/Hyy+/jK5du0Imk8HBweGp9jssLAx9+vQBACm2Xbt2YejQoQCAoqIirFy5UoppyJAh2LRpE27evAm5XI42bdrAy8sLMTExFSZLyqbkMjMzg42NjbRcLpdDR0dHZdmhQ4dw7tw5ZGVlQV9fHwCwYMECREZGYufOnRgzZgwWL16MUaNGYfTo0QCAOXPm4ODBg9UaXVLVvo4ePRqdO3fGjRs3YGdnh7///htRUVE4cOBAhdsyNTWFnp4ejIyMVPahzNy5c6UkxOTJkzFgwAA8ePAABgYGmDt3LiZPnoyRI0cCAJycnDB79mx89tlnT50sSU9Ph7GxMXx8fGBiYgIHBwe88sorAEpHzixcuBCHDh2Cp6en9JrHjh3D6tWrVZIls2bNko4REREREREREdGLxGm4iIjqAB0dHSgUCly8eBEdO3aEm5sbMjMzYW1tje7du0OhUKBJkyYVrnvhwgXY29tLiRIAaNOmDczMzHDhwgVpWfPmzaVECQB4enpCqVQiOTkZFhYWCA4Ohre3NwYOHIglS5YgIyOj0niDg4ORkJCAli1bYsKECdi/f/9T7XfZxXMAsLCwQMuWLVViNjIykhIlAGBtbQ2FQqGSOLK2tkZWVtZTvf6j4uPjce/ePTRu3BhyuVx6pKam4vLlywBKj/WjMT++D1Wpal9fffVVtG3bFhs3bgRQmuxq3rw5unfv/lT7UjZKCQBsbW0BQDpG8fHxmDVrlso+vv/++8jIyEB+fv5TvV6fPn3g4OAAJycnBAUFYfPmzdK2zp8/jwcPHqBPnz4qr7lx40bpuJbx8PB4qtcnIiIiIiIiInpWHFlCRFQHtG3bFleuXEFRURGUSiXkcjmKi4tRXFwMuVwOBwcHJCUlVbiuEKLC6bIqW16mrKzs3/Xr12PChAnYu3cvtm3bhqlTp+LAgQPo1KlTuXU7dOiA1NRU/PLLLzh48CCGDh2K3r17Y+fOndDS0pJev0xRUVG1j8WjMZdNx/VoWUXLlEpltbdfGaVSCVtb23L3VQHw3KaEenRfR48ejeXLl2Py5MlYv3493n333SrbryqPHqOybZQdI6VSiZkzZyIgIKDcegYGBhVuT0tLS6U9AdU2NTExwZkzZxAbG4v9+/dj+vTpmDFjBk6fPi297p49e9C0aVOVbZSN4CljbGxc3V0kIiIiIiIiIqpVHFlCRFQHREdHIyEhATY2Nvj++++RkJAAFxcXLF68GAkJCYiOjq503TZt2iA9PV3lniHnz59Hbm6uylRa6enpuHHjhvQ8Li4OWlpaaNGihbTslVdewZQpU3DixAm4uLjghx9+qPR1GzVqhGHDhuHbb7/Ftm3b8OOPP+LOnTvS1FePjkx59Gbvjzp58qT0/+zsbKSkpKBVq1aVvubT0NXVVbkBPADo6emVW9ahQwdkZmZCR0cHzs7OKo+yUT2tW7dWifnxfajKk/Z1xIgRSE9Px9KlS5GUlCRNk1WZivahOjp06IDk5ORy++js7Cwluh5naWmp0p4lJSVITExUqaOjo4PevXvjm2++wR9//IG0tDQcOnQIbdq0gb6+PtLT08u93qOjoYiIiIiIiIiI1IkjS4iI6gAHBwdkZmbi5s2b8PPzg5aWFs6fP4+AgADY2dlVuW7v3r3Rrl07vP3221i8eLF0g/cePXqoTGtkYGCAkSNHYsGCBcjLy8OECRMwdOhQ2NjYIDU1FWvWrIGvry/s7OyQnJyMlJQUvPPOOxW+5qJFi2Bra4v27dtDS0sLO3bsgI2NDczMzKClpYVOnTrhq6++gkKhwN9//42pU6dWuJ1Zs2ahcePGsLa2xpdffokmTZrA39//qY9jRRQKBX799Vd06dIF+vr6MDc3h0KhQGpqKhISEtCsWTOYmJigd+/e8PT0hL+/P77++mu0bNkSN27cQHR0NPz9/eHh4YFPPvkEI0eOhIeHB7p27YrNmzcjKSmpWjd4f9K+mpubIyAgAP/617/Qt29flSnTKtuvU6dOIS0tDXK5HBYWFtU6HtOnT4ePjw/s7e3x5ptvQktLC3/88QfOnTuHOXPmVLhOr1698Omnn2LPnj146aWXsGjRIuTk5EjlUVFR+Ouvv9C9e3eYm5sjOjoaSqUSLVu2hImJCSZNmoSJEydCqVSia9euyMvLw4kTJyCXy5+YFCIiIiIiIiIiehE4soSIqI6IjY1Fx44dYWBggFOnTqFp06ZPTJQApdMsRUZGwtzcHN27d0fv3r3h5OSEbdu2qdRzdnZGQEAA3njjDfTt2xcuLi5YsWIFgNJ7g1y8eBGDBw9GixYtMGbMGIwbNw4ffPBBha8pl8vx9ddfw8PDAx07dkRaWhqio6OlkQnr1q1DUVGRlGCo7CL8V199hU8++QTu7u7IyMjA7t27oaenV5PD9kTh4eE4cOAA7O3tpZuODx48GP369YOXlxcsLS2xZcsWyGQyREdHo3v37hg1ahRatGiBwMBApKWlwdraGgAwbNgwTJ8+HZ9//jnc3d1x5coVfPjhh9WKozr7+t5776GwsBCjRo164vYmTZoEbW1ttGnTBpaWlkhPT69WHN7e3tLN4zt27IhOnTph4cKFcHBwqHSdUaNGYeTIkXjnnXfQo0cPODo6wsvLSyo3MzNDREQEevXqhdatW2PVqlXYsmUL2rZtCwCYPXs2pk+fjvnz56N169bw9vbGzz//DEdHx2rFTERERERERET0vMnE45OQExFRnWdra4vZs2dj9OjR6g6FatHmzZvxySef4MaNG7WeNCIiIiIiIiIiospxGi4ionokPz8fx48fx82bN6Vf7VP9l5+fj9TUVMyfPx8ffPABEyVERERERERERC8Yp+EiIqpH1qxZg8DAQISEhMDT01Pd4VAt+eabb9C+fXtYW1tjypQp6g6HiIiIiIiIiEjjcBouIiIiIiIiIiIiIiLSaBxZQkREREREREREREREGo3JEiIiIiIiIiIiIiIi0mhMlhARERERERERERERkUZjsoSIiIiIiIiIiIiIiDQakyVERERERERERERERKTRmCwhIiIiIiIiIiIiIiKNxmQJERERERERERERERFpNCZLiIiIiIiIiIiIiIhIo/0/OKbf9E3UdyYAAAAASUVORK5CYII=", - "text/plain": [ - "<Figure size 1600x500 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "tail: error writing 'standard output': Broken pipe\n" + ] }, { - "data": { - "image/png": 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- "text/plain": [ - "<Figure size 1600x500 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "SWF parsing done.\n", + "2847 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 71\n", + "Number of sessions: 2847\n", + "The output files have been stored in the folder workload/KTH/a0_cut10\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "5695 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 102\n", + "Number of sessions: 5695\n", + "The output files have been stored in the folder workload/KTH/a0_cut20\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "8542 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 112\n", + "Number of sessions: 8542\n", + "The output files have been stored in the folder workload/KTH/a0_cut30\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "11390 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 124\n", + "Number of sessions: 11390\n", + "The output files have been stored in the folder workload/KTH/a0_cut40\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "14238 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 140\n", + "Number of sessions: 14238\n", + "The output files have been stored in the folder workload/KTH/a0_cut50\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "17085 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 160\n", + "Number of sessions: 17085\n", + "The output files have been stored in the folder workload/KTH/a0_cut60\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "19933 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 170\n", + "Number of sessions: 19933\n", + "The output files have been stored in the folder workload/KTH/a0_cut70\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "22780 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 180\n", + "Number of sessions: 22780\n", + "The output files have been stored in the folder workload/KTH/a0_cut80\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "25628 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 187\n", + "Number of sessions: 25628\n", + "The output files have been stored in the folder workload/KTH/a0_cut90\n" + ] } ], "source": [ - "data = {\n", - " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - " \"speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", - "}\n", - "rigid = WL_rigid[[\"workload_name\",\"submission_time\"]]\n", - "\n", - "cmap, N= plt.cm.Accent, len(data)\n", - "colors = [cmap(k / float(N)) for k in range(N)]\n", - "markers = [\".\" , \"1\" , \"o\" , \"x\" , \"+\" , \"3\", \">\"]\n", - "\n", - "def plot_lateness_spread(logscale=True):\n", - " mean_lateness = {}\n", - " fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True)\n", - " col, marks = iter(colors), iter(markers)\n", - " for name, path in data.items():\n", - " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", - " df[\"lateness\"] = (df.submission_time - rigid.submission_time).astype(dtype='timedelta64[s]')\n", - " grp = df.groupby(df.workload_name)[\"lateness\"].agg([\"last\", \"mean\", \"count\"])\n", - " mean_lateness[name] = grp[\"mean\"]\n", - " \n", - " grp.plot(kind='scatter', x=\"count\", y=\"mean\", ax=ax[0], marker=next(marks), color=next(col), label=name,\n", - " xlabel=\"#jobs submitted by the user\", ylabel=\"average lateness (s)\")\n", - " \n", - " bplot = pd.concat(mean_lateness, axis=1).plot(kind=\"box\", ax=ax[1], return_type='dict', patch_artist=True)\n", - " # Color the boxes : \n", - " for i, patch in enumerate(bplot['boxes']):\n", - " patch.set_facecolor(colors[i]) \n", + "tot_lines = (end_data_in_swf - begin_data_in_swf) + 1\n", "\n", - " ax[0].grid()\n", - " ax[1].grid(axis=\"y\")\n", - " if logscale:\n", - " ax[0].set_yscale('symlog')\n", - " ax[0].set_xscale('log')\n", + "for k in range(10, 100, 10):\n", + " # Cut the input\n", + " wl = f\"{WL_folder}/a0_cut{k}\"\n", + " nb_lines = int(tot_lines * k / 100)\n", + " ! tail -n +{begin_data_in_swf} {WL_swf_path} | head -n {nb_lines} > workload/tmp_wl.swf\n", + " ! swf2userSessions workload/tmp_wl.swf {wl} -a 0\n", "\n", - "plot_lateness_spread(logscale=False)\n", - "plot_lateness_spread(logscale=True)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Analysis:\n", - "- the average lateness per user doesn't seem to depend only on the #jobs submitted by this user" + " # Clean temp file\n", + " ! rm workload/tmp_wl.swf" ] }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 86, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 1600x500 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe cut 10%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "2847 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 71\n", + "Number of sessions: 2847\n", + "The output files have been stored in the folder workload/KTH/a0_cut10\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:31.241] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:31.251] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:33.340] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:33.340] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:33.346] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 20%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "5695 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 102\n", + "Number of sessions: 5695\n", + "The output files have been stored in the folder workload/KTH/a0_cut20\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:34.429] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:34.439] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:38.782] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:38.782] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:38.784] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 30%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "8542 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 112\n", + "Number of sessions: 8542\n", + "The output files have been stored in the folder workload/KTH/a0_cut30\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:39.946] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:39.955] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:45.978] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:45.978] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:45.980] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 40%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "11390 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 124\n", + "Number of sessions: 11390\n", + "The output files have been stored in the folder workload/KTH/a0_cut40\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:47.250] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:47.259] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:55.166] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:55.166] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:55.169] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 50%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "14238 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 140\n", + "Number of sessions: 14238\n", + "The output files have been stored in the folder workload/KTH/a0_cut50\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:56.528] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:56.538] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:06.607] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:06.607] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:06.608] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 60%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "17085 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 160\n", + "Number of sessions: 17085\n", + "The output files have been stored in the folder workload/KTH/a0_cut60\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:08.075] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:08.085] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:20.376] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:20.376] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:20.380] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 70%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "19933 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 170\n", + "Number of sessions: 19933\n", + "The output files have been stored in the folder workload/KTH/a0_cut70\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:21.964] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:21.973] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:36.532] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:36.532] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:36.535] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 80%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "22780 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 180\n", + "Number of sessions: 22780\n", + "The output files have been stored in the folder workload/KTH/a0_cut80\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:38.188] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:38.197] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:57.817] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:57.817] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:57.822] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 90%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "25628 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 187\n", + "Number of sessions: 25628\n", + "The output files have been stored in the folder workload/KTH/a0_cut90\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:59.600] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:59.609] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:18.854] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:18.854] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:18.856] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] } ], "source": [ - "data = {\n", - " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - " \"speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", - "}\n", - "rigid = WL_rigid[[\"workload_name\",\"submission_time\"]]\n", - "\n", - "cmap, N= plt.cm.Accent, len(data)\n", - "cols = iter([cmap(k / float(N)) for k in range(N)])\n", - "marks = iter([\".\" , \"1\" , \"o\" , \"x\" , \"+\" , \"3\", \">\"])\n", + "# Run the simulations on each input, with scheduler FCFS:\n", + "pf = f\"{PF_folder}/infra.xml\"\n", "\n", - "fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True)\n", + "for k in range(10, 100, 10):\n", + " print(f\"Expe FCFS cut {k}%.\\n-------\\n\")\n", + " wl = f\"{WL_folder}/a0_cut{k}\"\n", "\n", - "DAG_l_paths = DAG_analysis[\"longest_paths\"][\"a0\"]\n", - "max_succs = DAG_analysis[\"succs\"][\"a0\"]\n", + " # Run simu\n", + " EXPE_FILE = f\"{EXPE_DIR}/a0_FCFS_cut{k}\"\n", + " uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n", "\n", - "for name, path in data.items():\n", - " col, mark = next(cols), next(marks)\n", - " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", - " df[\"lateness\"] = (df.submission_time - rigid.submission_time).astype(dtype='timedelta64[s]')\n", - " grp = df.groupby(df.workload_name)[\"lateness\"].mean()\n", - " path_lateness = pd.concat([grp, DAG_l_paths], keys=[\"mean_lateness\",\"DAG_l_path\"], axis=1)\n", - " path_lateness.plot(kind='scatter', x=\"DAG_l_path\", y=\"mean_lateness\", ax=ax[0], marker=mark, color=col, label=name,\n", - " xlabel=\"longest path in user DAG\", ylabel=\"average lateness (s)\")\n", - " \n", - " arity_lateness = pd.concat([grp, max_succs], keys=[\"mean_lateness\",\"max_succs\"], axis=1)\n", - " arity_lateness.plot(kind='scatter', x=\"max_succs\", y=\"mean_lateness\", ax=ax[1], marker=mark, color=col, label=name,\n", - " xlabel=\"max #succs in user DAG\", ylabel=\"average lateness (s)\")\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Analysis: \n", - "- no clear tendancy visible for neither of the two variables..\n", - "- the left graph looks a lot like the graph on average lateness in f(#jobs). " + " print(\"Simulation start.\\n******************\\n\")\n", + " ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v fcfs --variant_options_filepath={uf}'\n", + " ! robin {EXPE_FILE}.yaml\n", + " print(\"\\n******************\\nSimulation done.\")" ] }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 87, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 1600x500 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe cut 10%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "2847 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 71\n", + "Number of sessions: 2847\n", + "The output files have been stored in the folder workload/KTH/a0_cut10\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:19.967] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:19.977] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:22.500] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:22.500] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:22.500] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 20%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "5695 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 102\n", + "Number of sessions: 5695\n", + "The output files have been stored in the folder workload/KTH/a0_cut20\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:23.692] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:23.702] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:28.584] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:28.584] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:28.586] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 30%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "8542 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 112\n", + "Number of sessions: 8542\n", + "The output files have been stored in the folder workload/KTH/a0_cut30\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:29.936] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:29.946] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:37.116] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:37.116] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:37.117] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 40%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "11390 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 124\n", + "Number of sessions: 11390\n", + "The output files have been stored in the folder workload/KTH/a0_cut40\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:38.535] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:38.546] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:48.127] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:48.127] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:48.133] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 50%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "14238 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 140\n", + "Number of sessions: 14238\n", + "The output files have been stored in the folder workload/KTH/a0_cut50\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:49.620] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:49.630] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:01.869] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:01.869] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:01.875] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 60%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "17085 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 160\n", + "Number of sessions: 17085\n", + "The output files have been stored in the folder workload/KTH/a0_cut60\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:03.497] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:03.507] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:18.784] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:18.784] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:18.799] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 70%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "19933 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 170\n", + "Number of sessions: 19933\n", + "The output files have been stored in the folder workload/KTH/a0_cut70\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:20.474] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:20.484] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:37.807] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:37.807] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:37.824] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 80%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "22780 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 180\n", + "Number of sessions: 22780\n", + "The output files have been stored in the folder workload/KTH/a0_cut80\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:39.849] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:24:39.858] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:01.456] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:01.456] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:01.467] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 90%.\n", + "-------\n", + "\n", + "tail: error writing 'standard output': Broken pipe\n", + "\n", + "SWF parsing done.\n", + "25628 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", + "Number of users: 187\n", + "Number of sessions: 25628\n", + "The output files have been stored in the folder workload/KTH/a0_cut90\n", + "Simulation start.\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:03.498] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:03.507] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:25.250] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:25.251] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-05-26 11:25:25.270] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] } ], "source": [ - "fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True, sharex=True)\n", - "cmap, N, i = plt.cm.Accent, len(data), 0\n", - "for name, path in data.items():\n", - " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", - " df[\"lateness\"] = (df.submission_time - rigid.submission_time).astype(dtype='timedelta64[s]')\n", - " grp = df.groupby(df.workload_name)[\"lateness\"].agg([\"last\", \"mean\", \"median\"])\n", - " \n", - " grp.plot(kind='scatter', x=\"last\", y=\"mean\", ax=ax[0], marker='.', color=cmap(i / float(N)), label=name,\n", - " xlabel=\"lateness of last job\", ylabel=\"average lateness (s)\")\n", - " grp.plot(kind='scatter', x=\"median\", y=\"mean\", ax=ax[1], marker='.', color=cmap(i / float(N)), label=name,\n", - " xlabel=\"median lateness per user\", ylabel=\"average lateness (s)\")\n", - " i += 1\n", + "# With scheduler EASY:\n", + "pf = f\"{PF_folder}/infra.xml\"\n", "\n", - "x_l, x_r = ax[0].get_xlim()\n", - "x = np.linspace(x_l, x_r, 100)\n", + "for k in range(10, 100, 10):\n", + " print(f\"Expe cut {k}%.\\n-------\\n\")\n", + " # Cut the input\n", + " wl = f\"{WL_folder}/a0_cut{k}\"\n", "\n", - "for i in {0,1}:\n", - " ax[i].plot(x, x, '--r', alpha=.3, label='y=x')\n", - " ax[i].plot(x, x/2, '--g', alpha=.3, label='y=x/2')\n", - " ax[i].set_ylim(-.6e7, 1.6e7)\n", - " ax[i].set_xlim(-1e7, 2.7e7)\n", - " ax[i].legend(); ax[i].grid()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Analysis :\n", - "- average lateness per user and lateness of last job per user are proporitional\n", - "- same between average lateness and lateness of median job\n", - "- **corresponds pretty well with the delta hypothesis**" + " # Run simu\n", + " EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}\"\n", + " uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n", + "\n", + " print(\"Simulation start.\\n******************\\n\")\n", + " ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n", + " ! robin {EXPE_FILE}.yaml\n", + " print(\"\\n******************\\nSimulation done.\")" ] }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 5, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 1600x600 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 1600x600 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Expe cut 10%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:08.194] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:08.203] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut10_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:10.205] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:10.205] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:10.212] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut10_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_double_speed/log/sched.out.log\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:10.456] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:10.468] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut10_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:12.817] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut10_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:12.817] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:12.820] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut10_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut10_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 20%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:13.080] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:13.089] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut20_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:16.552] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:16.553] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:16.553] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut20_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_double_speed/log/sched.out.log\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:16.798] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:16.809] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut20_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:21.885] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut20_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:21.886] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:21.892] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut20_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut20_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 30%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:22.159] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:22.168] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut30_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:27.407] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut30_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:27.407] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:27.407] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:27.650] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:27.659] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut30_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:35.225] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut30_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:35.225] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:35.233] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut30_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut30_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 40%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:35.494] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:35.503] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut40_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:42.621] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut40_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:42.621] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:42.621] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:42.868] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:42.878] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut40_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:53.032] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut40_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:53.032] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:53.049] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut40_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut40_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 50%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:53.303] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:56:53.312] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut50_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:01.936] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:01.936] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:01.937] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut50_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_double_speed/log/sched.out.log\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:02.210] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:02.219] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut50_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:16.158] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut50_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:16.158] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:16.180] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut50_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut50_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 60%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:16.429] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:16.438] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut60_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:27.866] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:27.866] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:27.867] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut60_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_double_speed/log/sched.out.log\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:28.109] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:28.118] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut60_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:45.742] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut60_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:45.742] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:45.768] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut60_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut60_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 70%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:46.013] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:46.023] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut70_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:59.493] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:59.493] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:59.494] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut70_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_double_speed/log/sched.out.log\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:59.745] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:57:59.755] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut70_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:19.866] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut70_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:19.866] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:19.890] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut70_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut70_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 80%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:20.156] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:20.169] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut80_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:34.753] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut80_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:34.753] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:34.754] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:34.997] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:35.008] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut80_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:59.661] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut80_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:59.661] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:59.710] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut80_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut80_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n", + "Expe cut 90%.\n", + "-------\n", + "\n", + "Speed*2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:59.964] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:58:59.974] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut90_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:17.210] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90_double_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:17.211] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:17.214] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut90_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_double_speed/log/sched.out.log\n", + "Speed/2:\n", + "******************\n", + "\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:17.471] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:17.482] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut90_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:46.347] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a0_EASY_cut90_half_speed/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:46.347] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-14 08:59:46.390] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_KTH/a0_EASY_cut90_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_EASY_cut90_half_speed/log/sched.out.log\n", + "\n", + "******************\n", + "Simulation done.\n" + ] } ], "source": [ - "data = {\n", - " \"A0_FCFS\": f\"{EXPE_DIR}/a0_FCFS\",\n", - " \"A0_EASY\": f\"{EXPE_DIR}/a0_EASY\",\n", - " \"speed*2\": f\"{EXPE_DIR}/a0_EASY_double_speed\",\n", - " \"infra*2\": f\"{EXPE_DIR}/a0_EASY_double_infra\",\n", - " \"speed/2\": f\"{EXPE_DIR}/a0_EASY_half_speed\",\n", - " \"infra/2\": f\"{EXPE_DIR}/a0_EASY_half_infra\",\n", - "}\n", - "\n", - "cmap, N= plt.cm.Accent, len(data)\n", - "colors = [cmap(k / float(N)) for k in range(N)]\n", - "\n", - "def delta(x):\n", - " if len(x) <= 2:\n", - " return np.inf\n", - " return 2 * sum(x) / (len(x) * (len(x) - 1))\n", - "\n", - "def plot_delta_spread(logscale=False):\n", - " fig, ax = plt.subplots(ncols=2, figsize=(16,6), constrained_layout=True, sharey=True)\n", - " deltas = {}\n", - " col = iter(colors)\n", - " for name, path in data.items():\n", - " df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n", - " df[\"lateness\"] = (df.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]')\n", - " grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: delta(x))\n", + "# With speed*2 and speed/2:\n", + "pf_double = f\"{PF_folder}/double_speed.xml\"\n", + "pf_half = f\"{PF_folder}/half_speed.xml\"\n", "\n", - " grp.plot(kind='scatter', x=\"count\", y=\"delta\", ax=ax[0], marker='.', color=next(col), label=name, \n", - " xlabel=\"#jobs per user\", ylabel=\"delta per user\")\n", - " deltas[name] = grp[\"delta\"]\n", - " \n", - " bplot = pd.DataFrame(deltas).boxplot(ax=ax[1], return_type='dict', patch_artist=True)\n", - " # Color the boxes : \n", - " for i, patch in enumerate(bplot['boxes']):\n", - " patch.set_facecolor(colors[i]) \n", + "for k in range(10, 100, 10):\n", + " print(f\"Expe cut {k}%.\\n-------\\n\")\n", + " # Cut the input\n", + " wl = f\"{WL_folder}/a0_cut{k}\"\n", "\n", - " if logscale:\n", - " ax[0].set_xscale('log')\n", - " ax[0].set_xticks([2,10,100,1000],[2,10,100,1000])\n", - " ax[0].set_yscale('symlog')\n", - " ax[0].grid()\n", - " ax[1].grid(axis=\"x\")\n", + " print(\"Speed*2:\\n******************\\n\")\n", + " EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}_double_speed\"\n", + " uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl, \".SABjson\")\n", + " ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf_double} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n", + " ! robin {EXPE_FILE}.yaml\n", "\n", - "plot_delta_spread(logscale=False)\n", - "plot_delta_spread(logscale=True)" + " print(\"Speed/2:\\n******************\\n\")\n", + " EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}_half_speed\"\n", + " uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl, \".SABjson\")\n", + " ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n", + " --batcmd=\"batsim -p {pf_half} --quiet -w {empty_wl} -e {EXPE_FILE}/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n", + " --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n", + " ! robin {EXPE_FILE}.yaml\n", + " print(\"\\n******************\\nSimulation done.\")" ] }, { @@ -4087,84 +5401,88 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Which metric scale by input size?\n", - "Run the simulation with a subset of the input, to see if it scales.\n", - "\n", - "Prepare cut input:" + "#### a60\n", + "Prepare cut input" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tail: error writing 'standard output': Broken pipe\n", + "tail: error writing 'standard output': Broken pipe\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "SWF parsing done.\n", "2847 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 71\n", - "Number of sessions: 2847\n", - "The output files have been stored in the folder workload/KTH/a0_cut10\n", + "Number of sessions: 1070\n", + "The output files have been stored in the folder workload/KTH/a60_cut10\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "5695 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 102\n", - "Number of sessions: 5695\n", - "The output files have been stored in the folder workload/KTH/a0_cut20\n", + "Number of sessions: 2245\n", + "The output files have been stored in the folder workload/KTH/a60_cut20\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "8542 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 112\n", - "Number of sessions: 8542\n", - "The output files have been stored in the folder workload/KTH/a0_cut30\n", + "Number of sessions: 3269\n", + "The output files have been stored in the folder workload/KTH/a60_cut30\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "11390 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 124\n", - "Number of sessions: 11390\n", - "The output files have been stored in the folder workload/KTH/a0_cut40\n", + "Number of sessions: 4229\n", + "The output files have been stored in the folder workload/KTH/a60_cut40\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "14238 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 140\n", - "Number of sessions: 14238\n", - "The output files have been stored in the folder workload/KTH/a0_cut50\n", + "Number of sessions: 5284\n", + "The output files have been stored in the folder workload/KTH/a60_cut50\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "17085 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 160\n", - "Number of sessions: 17085\n", - "The output files have been stored in the folder workload/KTH/a0_cut60\n", + "Number of sessions: 6355\n", + "The output files have been stored in the folder workload/KTH/a60_cut60\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "19933 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 170\n", - "Number of sessions: 19933\n", - "The output files have been stored in the folder workload/KTH/a0_cut70\n", + "Number of sessions: 7077\n", + "The output files have been stored in the folder workload/KTH/a60_cut70\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "22780 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 180\n", - "Number of sessions: 22780\n", - "The output files have been stored in the folder workload/KTH/a0_cut80\n", + "Number of sessions: 8043\n", + "The output files have been stored in the folder workload/KTH/a60_cut80\n", "tail: error writing 'standard output': Broken pipe\n", "\n", "SWF parsing done.\n", "25628 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", "Number of users: 187\n", - "Number of sessions: 25628\n", - "The output files have been stored in the folder workload/KTH/a0_cut90\n" + "Number of sessions: 8979\n", + "The output files have been stored in the folder workload/KTH/a60_cut90\n" ] } ], @@ -4173,234 +5491,158 @@ "\n", "for k in range(10, 100, 10):\n", " # Cut the input\n", - " wl = f\"{WL_folder}/a0_cut{k}\"\n", + " wl = f\"{WL_folder}/a60_cut{k}\"\n", " nb_lines = int(tot_lines * k / 100)\n", " ! tail -n +{begin_data_in_swf} {WL_swf_path} | head -n {nb_lines} > workload/tmp_wl.swf\n", - " ! swf2userSessions workload/tmp_wl.swf {wl} -a 0\n", + " ! swf2userSessions workload/tmp_wl.swf {wl} -a 60\n", "\n", " # Clean temp file\n", " ! rm workload/tmp_wl.swf" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Run the simulations on each input, with scheduler FCFS:" - ] - }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Expe cut 10%.\n", + "Expe FCFS cut 10%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "2847 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 71\n", - "Number of sessions: 2847\n", - "The output files have been stored in the folder workload/KTH/a0_cut10\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:31.241] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:31.251] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:33.340] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:33.340] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:33.346] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut10/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:16:59.025] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:16:59.035] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:00.790] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:00.790] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:00.791] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut10/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 20%.\n", + "Expe FCFS cut 20%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "5695 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 102\n", - "Number of sessions: 5695\n", - "The output files have been stored in the folder workload/KTH/a0_cut20\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:34.429] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:34.439] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:38.782] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/sched.out.log\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:38.782] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:38.784] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:01.031] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:01.041] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:04.391] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:04.391] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:04.392] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut20/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 30%.\n", + "Expe FCFS cut 30%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "8542 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 112\n", - "Number of sessions: 8542\n", - "The output files have been stored in the folder workload/KTH/a0_cut30\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:39.946] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:39.955] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:45.978] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/sched.out.log\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:45.978] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:45.980] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:04.630] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:04.639] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:09.762] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:09.762] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:09.763] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut30/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 40%.\n", + "Expe FCFS cut 40%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "11390 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 124\n", - "Number of sessions: 11390\n", - "The output files have been stored in the folder workload/KTH/a0_cut40\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:47.250] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:47.259] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:55.166] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/sched.out.log\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:55.166] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:55.169] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:10.003] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:10.012] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:16.765] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:16.765] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:16.768] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut40/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 50%.\n", + "Expe FCFS cut 50%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "14238 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 140\n", - "Number of sessions: 14238\n", - "The output files have been stored in the folder workload/KTH/a0_cut50\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:56.528] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:21:56.538] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:06.607] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/sched.out.log\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:06.607] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:06.608] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:17.006] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:17.015] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:25.441] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:25.441] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:25.444] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut50/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 60%.\n", + "Expe FCFS cut 60%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "17085 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 160\n", - "Number of sessions: 17085\n", - "The output files have been stored in the folder workload/KTH/a0_cut60\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:08.075] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:08.085] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:20.376] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/sched.out.log\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:20.376] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:20.380] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:25.682] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:25.691] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:35.594] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:35.594] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:35.599] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut60/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 70%.\n", + "Expe FCFS cut 70%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "19933 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 170\n", - "Number of sessions: 19933\n", - "The output files have been stored in the folder workload/KTH/a0_cut70\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:21.964] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:21.973] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:36.532] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:36.532] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:36.535] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut70/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:35.837] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:35.846] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:48.075] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:48.075] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:48.089] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut70/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 80%.\n", + "Expe FCFS cut 80%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "22780 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 180\n", - "Number of sessions: 22780\n", - "The output files have been stored in the folder workload/KTH/a0_cut80\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:38.188] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:38.197] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:57.817] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:57.817] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:57.822] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut80/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:48.332] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:17:48.341] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:18:01.614] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/log/sched.out.log\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:18:01.614] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:18:01.617] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut80/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", "\n", "******************\n", "Simulation done.\n", - "Expe cut 90%.\n", + "Expe FCFS cut 90%.\n", "-------\n", "\n", - "tail: error writing 'standard output': Broken pipe\n", - "\n", - "SWF parsing done.\n", - "25628 jobs parsed, 0 jobs were filtered out as they did not pass the sanity checks\n", - "Number of users: 187\n", - "Number of sessions: 25628\n", - "The output files have been stored in the folder workload/KTH/a0_cut90\n", "Simulation start.\n", "******************\n", "\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:59.600] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:22:59.609] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:18.854] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batsim -p platform/KTH/infra.xml -w workload/empty_workload.json -e out/expe_replay_KTH/a0_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:18.854] The second process might be killed soon... \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n", - "\u001b[36mINFO\u001b[0m[2023-05-26 11:23:18.856] Simulation subprocess succeeded \u001b[36mcommand\u001b[0m=\"batmen -v fcfs --variant_options_filepath=out/expe_replay_KTH/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_KTH/a0_FCFS_cut90/log/sched.out.log\n", - "\n", - "******************\n", - "Simulation done.\n" + "\u001b[36mINFO\u001b[0m[2023-06-22 15:18:01.854] Waiting for valid context \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n", + "\u001b[36mINFO\u001b[0m[2023-06-22 15:18:01.862] Starting simulation \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/KTH/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_KTH/a60_FCFS_cut90/ --energy --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_KTH/a60_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_KTH/a60_FCFS_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n" ] } ], "source": [ + "# Run the simulations on each input, with scheduler FCFS:\n", "pf = f\"{PF_folder}/infra.xml\"\n", "\n", "for k in range(10, 100, 10):\n", " print(f\"Expe FCFS cut {k}%.\\n-------\\n\")\n", " # Cut the input\n", - " wl = f\"{WL_folder}/a0_cut{k}\"\n", + " wl = f\"{WL_folder}/a60_cut{k}\"\n", "\n", " # Run simu\n", - " EXPE_FILE = f\"{EXPE_DIR}/a0_FCFS_cut{k}\"\n", + " EXPE_FILE = f\"{EXPE_DIR}/a60_FCFS_cut{k}\"\n", " uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n", "\n", " print(\"Simulation start.\\n******************\\n\")\n", @@ -4411,17 +5653,9 @@ " print(\"\\n******************\\nSimulation done.\")" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With scheduler EASY:" - ] - }, { "cell_type": "code", - "execution_count": 87, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -4621,15 +5855,16 @@ } ], "source": [ + "# With scheduler EASY:\n", "pf = f\"{PF_folder}/infra.xml\"\n", "\n", "for k in range(10, 100, 10):\n", " print(f\"Expe cut {k}%.\\n-------\\n\")\n", " # Cut the input\n", - " wl = f\"{WL_folder}/a0_cut{k}\"\n", + " wl = f\"{WL_folder}/a60_cut{k}\"\n", "\n", " # Run simu\n", - " EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}\"\n", + " EXPE_FILE = f\"{EXPE_DIR}/a60_EASY_cut{k}\"\n", " uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n", "\n", " print(\"Simulation start.\\n******************\\n\")\n", @@ -4650,7 +5885,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [ {